From 3cffea282d93e0a636ac3c022a4fb3d2cefb85ae Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Tue, 28 May 2019 17:58:21 +0200 Subject: update countries by year chart --- site/content/pages/datasets/uccs/index.md | 2 +- site/public/datasets/uccs/index.html | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) (limited to 'site') diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index 5c6d1253..68d21cbe 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -44,7 +44,7 @@ The two research papers associated with the release of the UCCS dataset ([Uncons In 2017, one year after its public release, the UCCS face dataset formed the basis for a defense and intelligence agency funded [face recognition challenge](http://www.face-recognition-challenge.com/) project at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was again used for the [2nd Unconstrained Face Detection and Open Set Recognition Challenge](https://erodner.github.io/ial2018eccv/) at the European Computer Vision Conference (ECCV) in Munich, Germany. -As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 6 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner. +As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 4 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner. {% include 'dashboard.html' %} diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 5044af2a..aff78bc5 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -80,7 +80,7 @@ Their setup made it impossible for students to know they were being photographed
 Example images from the UnConstrained College Students Dataset.
Example images from the UnConstrained College Students Dataset.

The EXIF data embedded in the images shows that the photo capture times follow a similar pattern to that outlined by the researchers, but also highlights that the vast majority of photos (over 7,000) were taken on Tuesdays around noon during students' lunch break. The lack of any photos taken between Friday through Sunday shows that the researchers were only interested in capturing images of students during the peak campus hours.

 UCCS photos captured per weekday © megapixels.cc
UCCS photos captured per weekday © megapixels.cc
 UCCS photos captured per weekday © megapixels.cc
UCCS photos captured per weekday © megapixels.cc

The two research papers associated with the release of the UCCS dataset (Unconstrained Face Detection and Open-Set Face Recognition Challenge and Large Scale Unconstrained Open Set Face Database), acknowledge that the primary funding sources for their work were United States defense and intelligence agencies. Specifically, development of the UnContsrianed College Students dataset was funded by the Intelligence Advanced Research Projects Activity (IARPA), Office of Director of National Intelligence (ODNI), Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative (ONR MURI), and the Special Operations Command and Small Business Innovation Research (SOCOM SBIR) amongst others. UCCS's VAST site also explicitly states their involvement in the IARPA Janus face recognition project developed to serve the needs of national intelligence, establishing that immediate benefactors of this dataset include United States defense and intelligence agencies, but it would go on to benefit other similar organizations.

In 2017, one year after its public release, the UCCS face dataset formed the basis for a defense and intelligence agency funded face recognition challenge project at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was again used for the 2nd Unconstrained Face Detection and Open Set Recognition Challenge at the European Computer Vision Conference (ECCV) in Munich, Germany.

-

As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 6 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner.

+

As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 4 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner.

Who used UCCS?

-- cgit v1.2.3-70-g09d2 From d8f96cea6ac2a5b6b0dbe603b4671489f4a1dd73 Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Tue, 28 May 2019 18:04:35 +0200 Subject: update --- scraper/db_paper_doi.csv | 17 ++++++++++ scraper/db_paper_pdf.csv | 19 +++++++++++ scraper/db_paper_pdf_list.csv | 37 ++++++++++++++++++++++ scraper/ids.json | 2 +- scraper/reports/doi_domains.html | 2 +- scraper/reports/doi_institutions.html | 4 +-- scraper/reports/doi_institutions_geocoded.csv | 7 +++- scraper/reports/doi_institutions_unattributed.csv | 5 +++ scraper/reports/doi_institutions_unknown.csv | 2 ++ scraper/reports/doi_institutions_unknown.html | 4 +-- scraper/reports/paper_title_report.html | 2 +- .../reports/paper_title_report_no_location.html | 2 +- .../reports/paper_title_report_nonmatching.html | 2 +- scraper/reports/report_coverage.html | 2 +- scraper/reports/report_index.html | 2 +- site/datasets/citations/adience.json | 2 +- site/datasets/citations/afad.json | 2 +- site/datasets/citations/brainwash.json | 2 +- site/datasets/citations/cuhk_train_station.json | 2 +- site/datasets/citations/datasets.csv | 2 +- site/datasets/citations/duke_mtmc.json | 2 +- site/datasets/citations/helen.json | 2 +- site/datasets/citations/images_of_groups.json | 2 +- site/datasets/citations/imdb_wiki.json | 2 +- site/datasets/citations/leeds_sports_pose.json | 2 +- .../citations/leeds_sports_pose_extended.json | 2 +- site/datasets/citations/lfpw.json | 2 +- site/datasets/citations/megaface.json | 2 +- site/datasets/citations/msceleb.json | 2 +- site/datasets/citations/oxford_town_centre.json | 2 +- site/datasets/citations/pipa.json | 2 +- site/datasets/citations/tiny_faces.json | 2 +- site/datasets/citations/uccs.json | 2 +- site/datasets/citations/ucf_crowd.json | 2 +- site/datasets/citations/voc.json | 2 +- site/datasets/citations/voxceleb2.json | 2 +- site/datasets/citations/who_goes_there.json | 2 +- site/datasets/citations/yfcc_100m.json | 2 +- site/datasets/final/adience.json | 2 +- site/datasets/final/afad.json | 2 +- site/datasets/final/brainwash.json | 2 +- site/datasets/final/cuhk_train_station.json | 2 +- site/datasets/final/duke_mtmc.json | 2 +- site/datasets/final/helen.json | 2 +- site/datasets/final/images_of_groups.json | 2 +- site/datasets/final/imdb_wiki.json | 2 +- site/datasets/final/leeds_sports_pose.json | 2 +- .../datasets/final/leeds_sports_pose_extended.json | 2 +- site/datasets/final/lfpw.json | 2 +- site/datasets/final/megaface.json | 2 +- site/datasets/final/msceleb.json | 2 +- site/datasets/final/oxford_town_centre.json | 2 +- site/datasets/final/pipa.json | 2 +- site/datasets/final/tiny_faces.json | 2 +- site/datasets/final/uccs.json | 2 +- site/datasets/final/ucf_crowd.json | 2 +- site/datasets/final/voc.json | 2 +- site/datasets/final/voxceleb2.json | 2 +- site/datasets/final/who_goes_there.json | 2 +- site/datasets/final/yfcc_100m.json | 2 +- site/datasets/unknown/adience.json | 2 +- site/datasets/unknown/afad.json | 2 +- site/datasets/unknown/brainwash.json | 2 +- site/datasets/unknown/cuhk_train_station.json | 2 +- site/datasets/unknown/duke_mtmc.json | 2 +- site/datasets/unknown/helen.json | 2 +- site/datasets/unknown/images_of_groups.json | 2 +- site/datasets/unknown/imdb_wiki.json | 2 +- site/datasets/unknown/leeds_sports_pose.json | 2 +- .../unknown/leeds_sports_pose_extended.json | 2 +- site/datasets/unknown/lfpw.json | 2 +- site/datasets/unknown/megaface.json | 2 +- site/datasets/unknown/msceleb.json | 2 +- site/datasets/unknown/oxford_town_centre.json | 2 +- site/datasets/unknown/pipa.json | 2 +- site/datasets/unknown/tiny_faces.json | 2 +- site/datasets/unknown/uccs.json | 2 +- site/datasets/unknown/ucf_crowd.json | 2 +- site/datasets/unknown/voc.json | 2 +- site/datasets/unknown/voxceleb2.json | 2 +- site/datasets/unknown/who_goes_there.json | 2 +- site/datasets/unknown/yfcc_100m.json | 2 +- site/datasets/verified/adience.json | 2 +- site/datasets/verified/afad.json | 2 +- site/datasets/verified/afw.json | 2 +- site/datasets/verified/agedb.json | 2 +- site/datasets/verified/alert_airport.json | 2 +- site/datasets/verified/appa_real.json | 2 +- site/datasets/verified/awe_ears.json | 2 +- site/datasets/verified/bbc_pose.json | 2 +- site/datasets/verified/bpad.json | 2 +- site/datasets/verified/brainwash.json | 2 +- site/datasets/verified/caltech_10k_web_faces.json | 2 +- site/datasets/verified/caltech_crp.json | 2 +- site/datasets/verified/casia_webface.json | 2 +- site/datasets/verified/celeba.json | 2 +- site/datasets/verified/coco.json | 2 +- site/datasets/verified/cofw.json | 2 +- site/datasets/verified/cuhk_campus_03.json | 2 +- site/datasets/verified/cuhk_train_station.json | 2 +- site/datasets/verified/duke_mtmc.json | 2 +- site/datasets/verified/erce.json | 2 +- site/datasets/verified/expw.json | 2 +- site/datasets/verified/face_scrub.json | 2 +- site/datasets/verified/face_tracer.json | 2 +- site/datasets/verified/facebook_100.json | 2 +- site/datasets/verified/families_in_the_wild.json | 2 +- site/datasets/verified/fddb.json | 2 +- site/datasets/verified/feret.json | 2 +- site/datasets/verified/fiw_300.json | 2 +- site/datasets/verified/fpoq.json | 2 +- site/datasets/verified/frgc.json | 2 +- site/datasets/verified/gallagher.json | 2 +- site/datasets/verified/geofaces.json | 2 +- site/datasets/verified/gfw.json | 2 +- site/datasets/verified/h3d.json | 2 +- site/datasets/verified/helen.json | 2 +- site/datasets/verified/hipsterwars.json | 2 +- site/datasets/verified/hrt_transgender.json | 2 +- site/datasets/verified/ibm_dif.json | 2 +- site/datasets/verified/ifad.json | 2 +- site/datasets/verified/ifdb.json | 2 +- site/datasets/verified/ijb_a.json | 2 +- site/datasets/verified/ijb_b.json | 2 +- site/datasets/verified/ijb_c.json | 2 +- site/datasets/verified/ilids_mcts_vid.json | 2 +- site/datasets/verified/images_of_groups.json | 2 +- site/datasets/verified/imdb_face.json | 2 +- site/datasets/verified/imdb_wiki.json | 2 +- site/datasets/verified/imfdb.json | 2 +- site/datasets/verified/kin_face.json | 2 +- site/datasets/verified/lag.json | 2 +- site/datasets/verified/laofiw.json | 2 +- site/datasets/verified/leeds_sports_pose.json | 2 +- .../verified/leeds_sports_pose_extended.json | 2 +- site/datasets/verified/lfpw.json | 2 +- site/datasets/verified/lfw.json | 2 +- site/datasets/verified/mafa.json | 2 +- site/datasets/verified/market_1501.json | 2 +- site/datasets/verified/mars.json | 2 +- site/datasets/verified/megaage.json | 2 +- site/datasets/verified/megaface.json | 2 +- site/datasets/verified/mifs.json | 2 +- site/datasets/verified/miw.json | 2 +- site/datasets/verified/moments_in_time.json | 2 +- site/datasets/verified/morph.json | 2 +- site/datasets/verified/morph_nc.json | 2 +- site/datasets/verified/mot.json | 2 +- site/datasets/verified/msceleb.json | 2 +- site/datasets/verified/mug_faces.json | 2 +- site/datasets/verified/names_and_faces.json | 2 +- site/datasets/verified/orl.json | 2 +- site/datasets/verified/oxford_town_centre.json | 2 +- site/datasets/verified/pa_100k.json | 2 +- site/datasets/verified/penn_fudan.json | 2 +- site/datasets/verified/peta.json | 2 +- site/datasets/verified/pilot_parliament.json | 2 +- site/datasets/verified/pipa.json | 2 +- site/datasets/verified/pku_reid.json | 2 +- site/datasets/verified/prid.json | 2 +- site/datasets/verified/pubfig.json | 2 +- site/datasets/verified/pubfig_83.json | 2 +- site/datasets/verified/social_relation.json | 2 +- site/datasets/verified/stickmen_family.json | 2 +- site/datasets/verified/tiny_faces.json | 2 +- site/datasets/verified/tisi.json | 2 +- site/datasets/verified/uccs.json | 2 +- site/datasets/verified/ucf_crowd.json | 2 +- site/datasets/verified/ucf_selfie.json | 2 +- site/datasets/verified/ufdd.json | 2 +- site/datasets/verified/umd_faces.json | 2 +- site/datasets/verified/urban_tribes.json | 2 +- site/datasets/verified/used.json | 2 +- site/datasets/verified/vadana.json | 2 +- site/datasets/verified/vgg_celebs_in_places.json | 2 +- site/datasets/verified/vgg_faces.json | 2 +- site/datasets/verified/vgg_faces2.json | 2 +- site/datasets/verified/viper.json | 2 +- site/datasets/verified/vmu.json | 2 +- site/datasets/verified/voc.json | 2 +- site/datasets/verified/voxceleb2.json | 2 +- site/datasets/verified/who_goes_there.json | 2 +- site/datasets/verified/wider.json | 2 +- site/datasets/verified/wider_attribute.json | 2 +- site/datasets/verified/wider_face.json | 2 +- site/datasets/verified/wildtrack.json | 2 +- site/datasets/verified/yale_faces.json | 2 +- site/datasets/verified/yfcc_100m.json | 2 +- site/datasets/verified/youtube_celebrities.json | 2 +- site/datasets/verified/youtube_faces.json | 2 +- site/datasets/verified/youtube_makeup.json | 2 +- site/datasets/verified/youtube_poses.json | 2 +- 192 files changed, 274 insertions(+), 189 deletions(-) (limited to 'site') diff --git a/scraper/db_paper_doi.csv b/scraper/db_paper_doi.csv index f9d81ba5..98bf2e2d 100644 --- a/scraper/db_paper_doi.csv +++ b/scraper/db_paper_doi.csv @@ -1002,6 +1002,7 @@ d54bcfb162a371e4441f207ca005b8aeee3d357d,http://ieeexplore.ieee.org/stamp/stamp. d54de7d78ac63a5994ec24c777c1885ab1ca771b,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7831575 d5c8280e49cf7f58356e37e1722ab429415204ff,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508 d5d6878f8c82727c3e145ed596a29023f7f14eeb,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230304 +d54d0dc1e7ef82f3ed0ee332e0777b6d73477a8c,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653595 d5e9ad75082e41ee5c35009f96f6b23d483111f8,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532494 d5b66763cf15d4eefc8a5f15a498262bd9e58526,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379437 d5909f8d82bff4b86cc36ecd000f251c1a76293b,http://dl.acm.org/citation.cfm?id=3201364 @@ -1464,6 +1465,7 @@ d6e08345ba293565086cb282ba08b225326022fc,http://ieeexplore.ieee.org/stamp/stamp. 6a20f975eb253503bba46a421275d46cf74ee1b9,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579003 6ae75eaa7e9f1379338eae94fbb43664bb3c898a,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6117588 6a64ac585cf7150253c690ed62bc92fb2894a347,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892 +6a0aaefce8a27a8727d896fa444ba27558b2d381,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578476 6a8e4947a72c9c3b9267994a5b8f657ea63deb7e,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490625 6aa0a47f4b986870370c622be51f00f3a1b9d364,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6175952 6a3c6f6325eb388a8fa2580a8f1953f6e557e078,http://dl.acm.org/citation.cfm?id=3159308 @@ -3622,6 +3624,7 @@ b1c6182f7886b04393a557f368360fca2410ca4c,http://ieeexplore.ieee.org/stamp/stamp. 33867c617e9f264c9e857d73358e0fd5b60a149a,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785124 3337cfc3de2c16dee6f7cbeda5f263409a9ad81e,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398675 3333f2f667c4fa7310a7afbe9bd012bc818e5660,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058 +333880ee776d57555f54935978ccb2ce13cfdb07,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8101662 3320fb3aebea4050fa1ce3c1d20882d84eb55ef1,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607630 335486cb9bb326e2b33fb03a74d0f9d671490ae7,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6232264 3377d56732c432bf42d6627b0fa25ff91286548c,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451443 @@ -4618,6 +4621,7 @@ b88b57d52f6f16986381fa0ba9d5a1387886c157,http://ieeexplore.ieee.org/stamp/stamp. b806a31c093b31e98cc5fca7e3ec53f2cc169db9,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995928 b83964876faa536489b4c189fdeb1f9d50172862,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641 b8fb23610ce59509e926fe068281476deeaf5687,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296485 +b80a7bbde2986a0b3474258ec2fad0a75813d89f,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8637445 b89fc897a5c538b2de462fb68bab4e588eab68f9,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558067 b8f6ab05e147811da7038711aebc931d061ccffc,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7852672 b81e765ee5acc1aaedb205e09318577e4f9c18c2,http://dl.acm.org/citation.cfm?id=1878045 @@ -7519,6 +7523,7 @@ f31cd51c87e64bfdd5c2c9259ae40b5add8cfcc3,http://ieeexplore.ieee.org/stamp/stamp. f34df8090f6a24b37ee1bda15d743502ff03edab,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328059 f33a7e98930f9623615b6ab3133431a298586f85,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294954 f3084731f770a2cda8350edef38d975bebf2ce35,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8220475 +f38a1edab9f0f0f36718778ac8d510fd25c41269,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8657935 f3d6b854e605abfb3270ad309eefdad7300716d1,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739069 f39783847499dd56ba39c1f3b567f64dfdfa8527,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791189 f3a8e2eb5190cadd037b722e7c1190c2d1148f10,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467143 @@ -7855,6 +7860,7 @@ ce3c5b0691d9e05061adc0a6fed8acb2607b1423,http://ieeexplore.ieee.org/stamp/stamp. 9d46485ca2c562d5e295251530a99dd5df99b589,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4813386 9d34280d545ac91031804931f4df7c31b6ab6011,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396172 9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380 +9da3ade53bf91556fe46828b216aab20a4e72294,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431470 9d00e7465dcafa40f9e0fa0939aa648184c84b4d,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631487 9dfef52f45372ee76b63905606779080026dfeb1,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8636329 9d226ba34cfc70bfb5b8e808bd18c217e61f1770,http://dl.acm.org/citation.cfm?id=3243009 @@ -8306,6 +8312,7 @@ bc9ae4b87888202bfa174ec4e8caee1a087ab994,http://ieeexplore.ieee.org/stamp/stamp. bc6830fd4ac9307ddd323c5f92627fd42ac02ff5,http://dl.acm.org/citation.cfm?id=2912043 bc5bc032467c4179ced33c01e35dc4800227b294,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960179 bcf2710d46941695e421226372397c9544994214,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7378076 +bcdb697c9d748f7655859256b0228a51b19b6fee,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302069 bccb35704cdd3f2765b1a3f0296d1bff3be019c1,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838249 bc14c01ac17f7b3527435a650503ca26f3c84aca,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877970 bc449b54e4664c650ee2e5d40d1a35eb13033d3e,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5595911 @@ -10223,6 +10230,7 @@ f8f14c0248a4974ce9a6226db81f9745a6b1ea97,http://ieeexplore.ieee.org/stamp/stamp. 66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447 6681006eaa13e03d8cf87cf44797e87ffbe0826b,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7904784 66dd296261268061140f60b0cebec9580148c346,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934427 +66a08ff2ea7447093624632e7069e3da16961d30,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7605450 6634318fa67bb8866d2579760c7b5763d0ee46a3,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247695 66ebb070ea8de63afa11cc856fe2754ea39a93ff,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6491798 66aaa719c84c5ab833eb9cd8a8566d9a110ffc48,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455547 @@ -11115,6 +11123,7 @@ e1924a925cfcc3db29f8006b8eed83aad9721a24,http://ieeexplore.ieee.org/stamp/stamp. 9684a54d9ff94855a40a2dc3eeb1ff16b44795fe,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261019 96e5e6ebebc0afab75983d444402893d1a467a16,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6356190 968ab65077c4be1c1071120052b2e4b4f3d3c59a,http://dl.acm.org/citation.cfm?id=2903517 +9607f88fe6298f754e3f610c3a587d8e10b1b0a9,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545073 960ad662c2bb454d69006492cc3f52d1550de55d,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5567116 96fbadc5fa1393d59ce0b8fd3d71aebc1fe35b40,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532959 96d3969dba2d1000f97de0b7cca50ea721d1f79d,http://dl.acm.org/citation.cfm?id=3007705 @@ -11760,6 +11769,7 @@ f7f7c3cb8b1abaab289eb87feb56d71f2d37fdd5,https://www.sciencedirect.com/science/a 759057718b5bac39615fa0a29f3fdf50186dce85,http://dl.acm.org/citation.cfm?id=2807481 75b60cdbaa2ab77b169ed0d1e478ebff07468ef8,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7054557 75031316b3d1473d8994a068f43d57ad069d22ba,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900157 +750bc0d2c9105a352001875127d796599a994886,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8464244 757b27a3ceb2293b8284fc24a7084a0c3fc2ae21,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578531 75fd35b2048407f93d7bada8edbb7628d5a952bc,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6174289 7574b7e5a75fdd338c27af5aeb77ab79460c4437,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458 @@ -11814,6 +11824,7 @@ f7f7c3cb8b1abaab289eb87feb56d71f2d37fdd5,https://www.sciencedirect.com/science/a 7a329ed2735f5401d6f978036fb859b10a4fb96a,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7402161 7a9ef21a7f59a47ce53b1dff2dd49a8289bb5098,http://dl.acm.org/citation.cfm?id=1401234 7a0e9de471b25252afbf8cec566d4962538c5b78,http://dl.acm.org/citation.cfm?id=2910619 +7a9c2524a157a6b5d0204c2f3b187cd67eb26b4c,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478157 7a3f17a8a4c49afed6cb575e82a46fcf1e3a83de,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265474 7a515a8d994f4605789c96bc7c389986797d1e34,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553989 7a670b80c7e95b85efc6ef677cae539c4df20e4f,http://dl.acm.org/citation.cfm?id=3232128 @@ -11929,6 +11940,7 @@ f7f7c3cb8b1abaab289eb87feb56d71f2d37fdd5,https://www.sciencedirect.com/science/a 82cd5a5fec8a27887a35f1ecec684ec55eefad73,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018369 828dfdb73b6fc92952ca88edb8162d430e6cd995,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6882002 82953e7b3d28ccd1534eedbb6de7984c59d38cd4,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906266 +82b1ca78b2fc7ae0459f5d7c61a78822b8a590d2,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658794 82430878b6ee7a427ac389b51407599909576084,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472015 82fae97673a353271b1d4c001afda1af6ef6dc23,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126343 8286c8eb0df7c9f1b2000b67066331f4e541f5bd,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6547323 @@ -14583,6 +14595,7 @@ c7fa2ac9d03d3bc3877c06ea66710c99c88d56f7,http://ieeexplore.ieee.org/stamp/stamp. c7873037228a009917085556c514a90f9817cb08,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7992781 c75ba6ef724c0c3a9c9510a70da4cc8729b59a35,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654137 c7cd490e43ee4ff81e8f86f790063695369c2830,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805472 +c7f4e18ec3a805b8aee1d3d7552364c8f5f6ca1d,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8525541 c7b8783c5db016ea819749ef611e5d70571972c5,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7160139 c7da4495dbefe97addf3d67a11cc3089f54bf799,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6682838 c7822b90a04f25e06d2fbed6b72a5ff89ff22c41,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6207656 @@ -15455,6 +15468,7 @@ ec576efd18203bcb8273539fa277839ec92232a1,http://ieeexplore.ieee.org/stamp/stamp. 2f1ebbcc1ae5e2484cc82c8487243e5b4e6c5b81,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8606056 2fde9f3cb021bb5c958a65d5a29ba998e1cc8c17,http://ieeexplore.ieee.org/document/6641210/ 2f62e445470e453cc79d1997173aac45375a1358,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820725 +2f02c1d4858d9c0f5d16099eb090560d5fa4f23f,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545068 2f61d91033a06dd904ff9d1765d57e5b4d7f57a6,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532953 2fc6647858a1c7d6f51c4c57368e50677f30c0a9,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354045 2f2e1d2eee8a5a0c389d9dfb11b81964a0754335,http://dl.acm.org/citation.cfm?id=2749399 @@ -15982,6 +15996,7 @@ e5961e65169098351571e0828b46e3f8558a9faa,http://ieeexplore.ieee.org/stamp/stamp. 6f7f9c366d16fc386940d2ee6e9938af6e158cf5,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351138 6fca28477e788950d8adecd0b18e6eac45d80a30,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886357 6f81178c6f042f5e0b7dc226c1509596dbff63f0,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457929 +6f172b6635ad9e3d3e0ab65d931dcb354eb9ff73,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099570 6fe2efbcb860767f6bb271edbb48640adbd806c3,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654143 6ff8a87d91c9765609e3c12ee101a9ed82718d26,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8341858 6f98c18e834ba2cea0ad0157b53c34dbcd0c318e,http://dl.acm.org/citation.cfm?id=2997636 @@ -17272,6 +17287,7 @@ eacc648388f577c95792f6090eba43ef5a85a47c,http://ieeexplore.ieee.org/stamp/stamp. 5ddfd3d372f7679518db8fd763d5f8bc5899ed67,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977510 5d31da6f19d69c8f83eb44c6f6586de930ee86ee,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578701 5d2e5833ca713f95adcf4267148ac2ccf2318539,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6121744 +5d49632f8c8cd06cd5ce66f007aa140f40c12c45,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615907 5d9f468a2841ea2f27bbe3ef2c6fe531d444be68,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309167 5dd3c9ac3c6d826e17c5b378d1575b68d02432d7,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7292416 5d8e92225f1824f0b66e4661b2be90c64d09a534,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5407517 @@ -18052,6 +18068,7 @@ ac8bd8663c26d8cc5d73fc91dd269c38d437f47b,http://ieeexplore.ieee.org/stamp/stamp. 9753ee59db115e1e84a7c045f2234a3f63f255b1,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7344683 9710ad1ec252ef59c988cd7555bcc1be6ef88ed9,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780429 97e569159d5658760eb00ca9cb662e6882d2ab0e,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619141 +976647b32fd7e1a5c8ee4a11792155903bb34e43,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359391 9752e9c66d6bf09d07d15726f7a7f086b9b13572,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587904 978b916b76e2b8e48e95ac6044445529c61c2735,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495861 9771e04f48d8a1d7ae262539de8924117a04c20d,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4293642 diff --git a/scraper/db_paper_pdf.csv b/scraper/db_paper_pdf.csv index 5b5d84bc..7f4c04ee 100644 --- a/scraper/db_paper_pdf.csv +++ b/scraper/db_paper_pdf.csv @@ -1577,6 +1577,7 @@ a7267bc781a4e3e79213bb9c4925dd551ea1f5c4,https://arxiv.org/pdf/1801.06349.pdf 8a26431833b0ea8659ef1d24bff3ac9e56dcfcd0,https://arxiv.org/pdf/1706.08612.pdf 8a72d4eac105b0839de3c6392aafe4adf2a433d0,https://pdfs.semanticscholar.org/8a72/d4eac105b0839de3c6392aafe4adf2a433d0.pdf 8aea75940c90fac8c1e5d7ece7d04a61555c3bf6,https://arxiv.org/pdf/1807.09993.pdf +8a6665bfe3ad126d84414280ee2f884818560063,https://pdfs.semanticscholar.org/8a66/65bfe3ad126d84414280ee2f884818560063.pdf 8aeb3d5a097d33fc20efa046c0ed6cb886498d42,https://arxiv.org/pdf/1807.06708.pdf 8a1294d2093b7f339e3d33da46e008aca3528893,https://arxiv.org/pdf/1708.02421.pdf 8a8224266b8ab1483f6548307ab96227147f34da,https://arxiv.org/pdf/1611.05546.pdf @@ -2152,6 +2153,7 @@ d68f24e2c8e753d4d1e62f2231f6f33370de24de,https://pdfs.semanticscholar.org/d68f/2 95f52d5c2b571e585e0c75bce0111a3f68e5f3fd,https://pdfs.semanticscholar.org/bc5e/129a2e31465c1b0f8d1772c8374dd3f5a6bc.pdf 95de749dd1c3451d0842ecf33101244a1fa9d4af,https://pdfs.semanticscholar.org/95de/749dd1c3451d0842ecf33101244a1fa9d4af.pdf 9563456bfdd8b18df7f764400c04976771eb8728,https://arxiv.org/pdf/1704.02923.pdf +95addf732b584f7a2959f143d860863df3d1f320,https://pdfs.semanticscholar.org/95ad/df732b584f7a2959f143d860863df3d1f320.pdf 95593fb20df8ce1273cebe0690cf2cdab054b9b5,https://arxiv.org/pdf/1707.01317.pdf 9595fa763c4f1d92c604a131cfc624b9edbd8b02,https://pdfs.semanticscholar.org/9595/fa763c4f1d92c604a131cfc624b9edbd8b02.pdf 95c5ccc1fb2ac1d51fd18a8a18ecbcb33a910096,http://www.cs.albany.edu/~lsw/papers/ijcv16.pdf @@ -3820,6 +3822,7 @@ c591cb28d12b7ee53af4e5c2050b74071527c248,https://pdfs.semanticscholar.org/c591/c 91e9e19a06614197b5431410cecd29762223e04e,https://arxiv.org/pdf/1801.00077.pdf 919a0935d8d127aa5cea44327fc8f47f9724e5d9,https://pdfs.semanticscholar.org/919a/0935d8d127aa5cea44327fc8f47f9724e5d9.pdf 91816b4b5fb74710144b3294dec61aab4de12fd3,https://infoscience.epfl.ch/record/150634/files/Pronobis_IMAVIS_2010.pdf +91d2f0b7c23239740fa15dff0b5893b992c0ab34,https://pdfs.semanticscholar.org/91d2/f0b7c23239740fa15dff0b5893b992c0ab34.pdf 91c522b163a345f0e1b91e1564793cbea1b2de27,http://www.actapress.com/PDFs/contact/ProfKeithCHAN.pdf 91d83d20cc22bde6b4b06afc87f76a1b0140d4e2,https://arxiv.org/pdf/1805.06260.pdf 91fe10027edf7d0fc26988b5ba53ab9658ff534d,http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/journals/Kirstein-NN-2012.pdf @@ -5780,6 +5783,7 @@ b84b7b035c574727e4c30889e973423fe15560d7,https://pdfs.semanticscholar.org/b84b/7 b8caf1b1bc3d7a26a91574b493c502d2128791f6,https://pdfs.semanticscholar.org/b8ca/f1b1bc3d7a26a91574b493c502d2128791f6.pdf b8b2acc7e5bd94651c8bb025b6311c108c7a7d37,https://arxiv.org/pdf/1810.11874.pdf b86bcc153e097838fdb31ffa6c363f1d883512ae,https://pdfs.semanticscholar.org/b86b/cc153e097838fdb31ffa6c363f1d883512ae.pdf +b8c51b9ad3da310b590629b050152460abf7effb,https://arxiv.org/pdf/1809.03193.pdf b8fdd124357113b374dadd5623c3e4c60b344453,https://pdfs.semanticscholar.org/b8fd/d124357113b374dadd5623c3e4c60b344453.pdf b8349ba39a034d7bc693b6613f2bc173f0ac27b8,https://pdfs.semanticscholar.org/b834/9ba39a034d7bc693b6613f2bc173f0ac27b8.pdf b85308870c2b6b8b46ec78908bfd3140ed1398ad,https://arxiv.org/pdf/1712.01938.pdf @@ -6800,6 +6804,7 @@ f0304ea9943e96e645b8702c2810cca517439465,https://pdfs.semanticscholar.org/f030/4 50ab5859994c76dd69f2ef6c770888408d9ae5d0,https://arxiv.org/pdf/1811.07662.pdf 50bf792c721293222248f906e95726ac2ac2fe9e,https://pdfs.semanticscholar.org/50bf/792c721293222248f906e95726ac2ac2fe9e.pdf 5058a7ec68c32984c33f357ebaee96c59e269425,https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf +5031a110219231ceaa820725c6e77f87f7b2fde2,https://pdfs.semanticscholar.org/5031/a110219231ceaa820725c6e77f87f7b2fde2.pdf 5083c6be0f8c85815ead5368882b584e4dfab4d1,https://pdfs.semanticscholar.org/5083/c6be0f8c85815ead5368882b584e4dfab4d1.pdf 50a5f148edee525becde78d97b248b61944ba8ad,https://arxiv.org/pdf/1806.04074.pdf 50188f3b8d63e196af9ad156e8ff127e060d0aef,https://pdfs.semanticscholar.org/5018/8f3b8d63e196af9ad156e8ff127e060d0aef.pdf @@ -7018,6 +7023,7 @@ f0304ea9943e96e645b8702c2810cca517439465,https://pdfs.semanticscholar.org/f030/4 133dd0f23e52c4e7bf254e8849ac6f8b17fcd22d,https://arxiv.org/pdf/1402.1783.pdf 134af834fcbd8206ea60d737aab324aeade85428,https://arxiv.org/pdf/1804.01614.pdf 131e9edbe4b0322a467b7e8c35f6b0c0ca750e21,https://arxiv.org/pdf/1505.01197.pdf +1303b3e9f4bffb87b6dd34f7849f7a57e00253d1,https://arxiv.org/pdf/1904.01333.pdf 133477ccff666305d183cf1c35dcee40d0f2955a,https://arxiv.org/pdf/1705.01314.pdf 1301a0d7cc82c320f96902273a51c14e2644b34b,https://arxiv.org/pdf/1712.07329.pdf 132045bbf158060cbbb20f86f212ce89c4358eda,https://pdfs.semanticscholar.org/1320/45bbf158060cbbb20f86f212ce89c4358eda.pdf @@ -7442,6 +7448,7 @@ eb4151eebd0b7451ca990b242cef8357bfa9db92,https://pdfs.semanticscholar.org/eb41/5 eb8519cec0d7a781923f68fdca0891713cb81163,https://arxiv.org/pdf/1703.08617.pdf ebd36259defde84deb0d4c09695b54befe538ac8,https://pdfs.semanticscholar.org/ebd3/6259defde84deb0d4c09695b54befe538ac8.pdf ebb3c582d1f1a36bc678fdda74c64a70fb9a1016,https://pdfs.semanticscholar.org/ebb3/c582d1f1a36bc678fdda74c64a70fb9a1016.pdf +eb5780e49ad7e713e9f34cf067d45030fb29753e,https://arxiv.org/pdf/1804.04383.pdf eba13a9c5d62e254f4ee1ad48076a33be5f25f2e,https://pdfs.semanticscholar.org/eba1/3a9c5d62e254f4ee1ad48076a33be5f25f2e.pdf ebabf19e66ef1253fda8d39a0569787c65e60a9e,https://pdfs.semanticscholar.org/ebab/f19e66ef1253fda8d39a0569787c65e60a9e.pdf ebd28f04c2ab1e61430d309ecbf7c832173d65a5,https://pdfs.semanticscholar.org/ebd2/8f04c2ab1e61430d309ecbf7c832173d65a5.pdf @@ -7536,6 +7543,7 @@ ebebf029b390fa37530e74fb18ae2f592475cac0,https://pure.tue.nl/ws/files/3538958/75 08e69a871487b52510699c07859b4aaec122d3df,https://arxiv.org/pdf/1809.01816.pdf 0867f64fbee671ee2f93e99f28ce79761272b332,http://www.isca-speech.org/archive/archive_papers/interspeech_2008/i08_0359.pdf 0854b445973f5df79978cf4d4b031af696244ffb,https://pdfs.semanticscholar.org/0854/b445973f5df79978cf4d4b031af696244ffb.pdf +08e18921d7e405ad27956c75f2613230170997d5,https://pdfs.semanticscholar.org/a001/f2440fa49d1c137c9ca1b892857270096ef9.pdf 084145b7b828d93a5bb5f5dd04f3ccd003dcd5c1,https://arxiv.org/pdf/1412.7854.pdf 089edf0f53e670ba908b93cb0c44fc4f2bfa5511,https://pdfs.semanticscholar.org/089e/df0f53e670ba908b93cb0c44fc4f2bfa5511.pdf 0875f6d63c5ffef72b3df8bb44aedd79dc4b2a68,https://arxiv.org/pdf/1504.07460.pdf @@ -8365,6 +8373,7 @@ fd6c144e200c39cb7209d7dc448f3b8c4d20d573,https://pdfs.semanticscholar.org/fd6c/1 84e4b7469f9c4b6c9e73733fa28788730fd30379,https://pdfs.semanticscholar.org/84e4/b7469f9c4b6c9e73733fa28788730fd30379.pdf 847705c7d5be33efd424299b0cda9287e439e688,https://arxiv.org/pdf/1812.06190.pdf 8458efc65d0b2ef9b23c0f4f2a41f206fcaa787c,https://arxiv.org/pdf/1508.00217.pdf +84afbf356669f544f6c7e19fdb273edc93bf93ee,https://arxiv.org/pdf/1704.06687.pdf 843d1955cdff66f76cf4ad410eb54afe96c05a08,https://pdfs.semanticscholar.org/20a3/55d2ccc7b2c91a8a50776438cf752e5731d2.pdf 8432320153aa3a348138e27ef80ae3e8631bb6f8,https://arxiv.org/pdf/1807.00414.pdf 846c028643e60fefc86bae13bebd27341b87c4d1,https://pdfs.semanticscholar.org/a06f/510ee0f206abc4c44a2b68455d88a1748427.pdf @@ -9373,6 +9382,7 @@ f54d9dbad1f60de83485232707c945f209af867e,https://arxiv.org/pdf/1804.03052.pdf 6e40b120bf46807ef28ebdd8860e3109708bb888,https://arxiv.org/pdf/1807.08536.pdf f38cedfd93f421058682c30635a64fc0a2498192,https://arxiv.org/pdf/1810.08697.pdf f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,https://pdfs.semanticscholar.org/f38a/d869023c43b59431a3bb55f2fe8fb6ff0f05.pdf +f30bdc22fe454a28234cf858d5bf9de94701ee7a,https://arxiv.org/pdf/1904.03629.pdf f3cdd2c3180aa2bf08320ddd3b9a56f9fe00e72b,https://hal.archives-ouvertes.fr/hal-00817293/file/Rizwan_PRL.pdf f367feef8f486966916bd0769de8c7b5a59250b1,https://pdfs.semanticscholar.org/f367/feef8f486966916bd0769de8c7b5a59250b1.pdf f33ef5b2707078528f23e067565f992f4b03f4a7,https://arxiv.org/pdf/1804.09627.pdf @@ -11282,6 +11292,7 @@ ddea3c352f5041fb34433b635399711a90fde0e8,https://pdfs.semanticscholar.org/fc6b/2 1d4f56a9bb093c52569917537a93c7671db28e6f,https://pdfs.semanticscholar.org/1d4f/56a9bb093c52569917537a93c7671db28e6f.pdf 1d59ffad091a5bffa5fe935b79f5bfc08d2e802d,https://pdfs.semanticscholar.org/1d59/ffad091a5bffa5fe935b79f5bfc08d2e802d.pdf 1d82e7736268917cc3d87a2ee0896b03e02a5ff6,https://arxiv.org/pdf/1705.00601.pdf +1d1a2387663cb3510d6f5c0651c1dc55e48dcabc,https://pdfs.semanticscholar.org/1d1a/2387663cb3510d6f5c0651c1dc55e48dcabc.pdf 1d50e3a90ca7084319e3ae3822e08790fa99654d,https://arxiv.org/pdf/1902.03284.pdf 1d926403bb2f9f4883abda8ef60da547dd35ae97,https://riunet.upv.es/bitstream/handle/10251/10939/tesisUPV3522.pdf;jsessionid=476029974E6F2AF78BE1B64BA0143EDA?sequence=1 1d1cc4936d72fd78d8001a20d4c1981b8f6c1ce9,https://pdfs.semanticscholar.org/6217/594cbe1ecdd3b15199c43230e08fa4032890.pdf @@ -11611,6 +11622,7 @@ c48ec3d14a223346bb50002176e9a04bfb385cc7,https://pdfs.semanticscholar.org/c48e/c c41e483fee61e5040eeb49859a481352f8e3f8ac,https://pdfs.semanticscholar.org/c41e/483fee61e5040eeb49859a481352f8e3f8ac.pdf c450b742717dd56039466c3f761982355bd0576a,https://pdfs.semanticscholar.org/c450/b742717dd56039466c3f761982355bd0576a.pdf c44c84540db1c38ace232ef34b03bda1c81ba039,https://pdfs.semanticscholar.org/c44c/84540db1c38ace232ef34b03bda1c81ba039.pdf +c43c3ec39005aaf1f0ad2f641d92f41021342217,https://arxiv.org/pdf/1812.00440.pdf c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d,https://pdfs.semanticscholar.org/c4ba/a3d2fe702d3e96c500274f7fd9e63f8b3d6d.pdf c4fc07072d7ebfbca471d2394b20199d8107e517,https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf c4c4e5ff454584ae6a68d25b36bfc860e9a893a0,http://www.uscip.org/paper/jspta/JSPTA%20-%20Real-Time%20Facial%20Recognition%20System-Design%20Implementation%20and%20Validation.pdf @@ -13799,6 +13811,7 @@ e18803b9506bb411690dffcc6050055cbdb0d722,https://static1.squarespace.com/static/ e104e213faa97d9a9c8b8e1f15b7431c601cb250,https://arxiv.org/pdf/1802.04636.pdf e12ab9717a867c706ce8141de9cc430524c50774,https://pdfs.semanticscholar.org/e12a/b9717a867c706ce8141de9cc430524c50774.pdf e1e1b3683ac278386cf1569e97f9aced0923f4a0,https://arxiv.org/pdf/1804.00623.pdf +e1a784e360f2bf3911cffa30506d46c412659db5,https://arxiv.org/pdf/1807.00980.pdf e16831b6818a3ffec0785bac21911062ab04370e,http://smartviplab.org/pubilcations/CL/HOG-assisted%20deep%20feature%20learning%20for%20pedestrian%20gender%20recognition_JFI_2017.pdf e1d726d812554f2b2b92cac3a4d2bec678969368,https://pdfs.semanticscholar.org/c134/a2441bc1f3ec6b85f22868284c279881b918.pdf e1e5d64318ec0a493995fb83ef4f433ddde82e77,https://pdfs.semanticscholar.org/e1e5/d64318ec0a493995fb83ef4f433ddde82e77.pdf @@ -16774,6 +16787,7 @@ e75cd1379b07d77358e5a2f4a042f624066603b6,https://arxiv.org/pdf/1707.09472.pdf 540831094fd9b80469c8dacb9320b7e342b50e03,https://arxiv.org/pdf/1808.05561.pdf 547b09ddbc94900523d60dcfc51b61add7699588,https://pdfs.semanticscholar.org/547b/09ddbc94900523d60dcfc51b61add7699588.pdf 5489f0a7e4ac405ce99f638097897bc45fcf805e,https://pdfs.semanticscholar.org/5489/f0a7e4ac405ce99f638097897bc45fcf805e.pdf +54c9343c247ce5a82bc52f83df84c2bbae737ce4,https://arxiv.org/pdf/1901.08296.pdf 54e6343f4368d9e5468c3e83b6eeb3a58a3c7555,https://pdfs.semanticscholar.org/54e6/343f4368d9e5468c3e83b6eeb3a58a3c7555.pdf 540b39ba1b8ef06293ed793f130e0483e777e278,https://pdfs.semanticscholar.org/540b/39ba1b8ef06293ed793f130e0483e777e278.pdf 54311551def9ba4a9fc9c57e6b3269329f3d76e3,http://www.eurecom.fr/en/publication/4594/download/mm-publi-4594.pdf @@ -17614,6 +17628,7 @@ a48a8e337a155d01a9652f3ea36675710e600222,http://www.eurecom.fr/en/publication/44 a4c8b5b3684058de5c39497e04af62fbc22268f8,https://arxiv.org/pdf/1708.01723.pdf a432f815d753121267ffb524f8fabac21be32733,https://pdfs.semanticscholar.org/a432/f815d753121267ffb524f8fabac21be32733.pdf a4431f94df13f3cc68630ca82fb5487f1cbf4be0,https://pdfs.semanticscholar.org/a443/1f94df13f3cc68630ca82fb5487f1cbf4be0.pdf +a4ffdc6f0811b5adbf41d20433a44fc546197b75,https://arxiv.org/pdf/1802.03480.pdf a48ac2ebade8a0c77c936e45756bccef9668d8e6,https://pdfs.semanticscholar.org/a48a/c2ebade8a0c77c936e45756bccef9668d8e6.pdf a42eb9e4c2506640446f07df3a9a0134752b00da,https://arxiv.org/pdf/1811.07056.pdf a45c0cd7f089718e52bbb75bddcb1fdfeb49c4d6,https://arxiv.org/pdf/1803.07716.pdf @@ -18188,6 +18203,7 @@ ed96f2eb1771f384df2349879970065a87975ca7,https://arxiv.org/pdf/1805.12302.pdf 3e3ce21b1ef9e4c7199522d2c923e3771dbae930,https://pdfs.semanticscholar.org/3e3c/e21b1ef9e4c7199522d2c923e3771dbae930.pdf 3ec5afaee732157a1039d25b953aec38bc151638,https://arxiv.org/pdf/1411.0541.pdf 3e734cc79496091e8b08df8d781d005651885c38,https://arxiv.org/pdf/1412.3684.pdf +3e667c54e848233db092b794f2cfbf47ea63b771,https://arxiv.org/pdf/1809.09574.pdf 3e56a9b6c6aced2cb14f9cd7f89d145851c44113,https://arxiv.org/pdf/1810.08332.pdf 3e4ec7bdd279573d328a26b720854894e68230ed,https://pdfs.semanticscholar.org/3e4e/c7bdd279573d328a26b720854894e68230ed.pdf 3ea0555aeef50012c87289dc1b18241ec1a858f1,https://pdfs.semanticscholar.org/3ea0/555aeef50012c87289dc1b18241ec1a858f1.pdf @@ -19467,6 +19483,7 @@ e564268a03b21fa092390db0c11ba1c33d2323f9,https://arxiv.org/pdf/1708.04907.pdf e5a0e119ce4925a55910dcf0b5667ab551f8cdf1,https://arxiv.org/pdf/1609.00221.pdf e56bb892c581f682052ddd3896c65a2b29e64612,https://arxiv.org/pdf/1502.02734.pdf e510f2412999399149d8635a83eca89c338a99a1,https://pdfs.semanticscholar.org/e510/f2412999399149d8635a83eca89c338a99a1.pdf +e586547a63400881c7a95d6ad6d5fa31ac237ca9,https://pdfs.semanticscholar.org/e586/547a63400881c7a95d6ad6d5fa31ac237ca9.pdf e5a1864f6073f35920a8f7a0a368ff66b9dc6284,https://arxiv.org/pdf/1711.10378.pdf e597aca96ea1c928f13d15b7c4b46e3d41861afe,https://pdfs.semanticscholar.org/e597/aca96ea1c928f13d15b7c4b46e3d41861afe.pdf e525ba29497bab9b530ea7b056dd0128be22c48a,https://arxiv.org/pdf/1901.01703.pdf @@ -19576,6 +19593,7 @@ e5781730c9f1c81b08cf4b4a924f1058efe77908,https://pdfs.semanticscholar.org/e578/1 02da0cab1152eb1c43266687ebff8389c2d6b27b,https://pdfs.semanticscholar.org/02da/0cab1152eb1c43266687ebff8389c2d6b27b.pdf 0233c06139127a83e645bdb14f11674ed610c72c,https://pdfs.semanticscholar.org/0233/c06139127a83e645bdb14f11674ed610c72c.pdf 02218fcd3aece5a7bd19255d74b12f63dfa5c1a7,https://arxiv.org/pdf/1704.04517.pdf +02caadae027f983261d93e40f4d9d1f785163db4,https://arxiv.org/pdf/1806.03891.pdf 0273414ba7d56ab9ff894959b9d46e4b2fef7fd0,https://arxiv.org/pdf/1611.09942.pdf 020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb,https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf 026168fd2bcfbcd02012e379f35b7cfdc4c95ee1,http://www.researchgate.net/profile/Alessandro_Rozza2/publication/230818726_Novel_Fisher_discriminant_classifiers/links/09e41504f1232d70c3000000.pdf @@ -20046,6 +20064,7 @@ e5781730c9f1c81b08cf4b4a924f1058efe77908,https://pdfs.semanticscholar.org/e578/1 9993f1a7cfb5b0078f339b9a6bfa341da76a3168,https://arxiv.org/pdf/1609.09058.pdf 9976b88d15f89b6c82b16564735d489a7524821d,https://arxiv.org/pdf/1612.09161.pdf 99c57ec53f2598d63c010f791adbca386b276919,https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf +99c1bc2b09210d016a252ddae051ca7cf7fe0a56,https://pdfs.semanticscholar.org/99c1/bc2b09210d016a252ddae051ca7cf7fe0a56.pdf 9932fed53ac89a83a8af561095b090b2900c6dce,https://pdfs.semanticscholar.org/9932/fed53ac89a83a8af561095b090b2900c6dce.pdf 99029377dac51a3f60063f61cdc5471866c348be,https://pdfs.semanticscholar.org/9902/9377dac51a3f60063f61cdc5471866c348be.pdf 99311a926cb1e3080ad52eba6aef27d53df000c8,https://arxiv.org/pdf/1711.10914.pdf diff --git a/scraper/db_paper_pdf_list.csv b/scraper/db_paper_pdf_list.csv index 2d621e26..43417157 100644 --- a/scraper/db_paper_pdf_list.csv +++ b/scraper/db_paper_pdf_list.csv @@ -2490,6 +2490,7 @@ d5c8280e49cf7f58356e37e1722ab429415204ff,,,http://ieeexplore.ieee.org/stamp/stam d5d6878f8c82727c3e145ed596a29023f7f14eeb,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8230304, d5e5dc9bb068841ce2b0923d8250489426dc7ffe,https://pdfs.semanticscholar.org/d5e5/dc9bb068841ce2b0923d8250489426dc7ffe.pdf,,, d54703c366bce363130f1e633e033a0116c8a0da,https://pdfs.semanticscholar.org/d547/03c366bce363130f1e633e033a0116c8a0da.pdf,,, +d54d0dc1e7ef82f3ed0ee332e0777b6d73477a8c,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653595, d59e60c87309556c73c2885d133b459f20c90d9f,https://arxiv.org/pdf/1711.03543.pdf,,, d5e9ad75082e41ee5c35009f96f6b23d483111f8,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532494, d5b66763cf15d4eefc8a5f15a498262bd9e58526,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379437, @@ -3084,6 +3085,7 @@ a76969df111f9ee9f0b898b51ad23a721d289bdc,,,http://ieeexplore.ieee.org/stamp/stam 8a72d4eac105b0839de3c6392aafe4adf2a433d0,https://pdfs.semanticscholar.org/8a72/d4eac105b0839de3c6392aafe4adf2a433d0.pdf,,, 8aea75940c90fac8c1e5d7ece7d04a61555c3bf6,https://arxiv.org/pdf/1807.09993.pdf,,, 8a61396ab3eae09d5a6b6bd020bb4433dec52473,,,http://dl.acm.org/citation.cfm?id=2809934, +8a6665bfe3ad126d84414280ee2f884818560063,https://pdfs.semanticscholar.org/8a66/65bfe3ad126d84414280ee2f884818560063.pdf,,, 8a07b8b84cd4df7e4e20dadc5b5e914fe0e11162,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5982022, 8aeb3d5a097d33fc20efa046c0ed6cb886498d42,https://arxiv.org/pdf/1807.06708.pdf,,, 8a1294d2093b7f339e3d33da46e008aca3528893,https://arxiv.org/pdf/1708.02421.pdf,,, @@ -3652,6 +3654,7 @@ d6e08345ba293565086cb282ba08b225326022fc,,,http://ieeexplore.ieee.org/stamp/stam 6a3e43e397aa9a4a329c22eef7359a2959064f44,https://arxiv.org/pdf/1811.10519.pdf,,, 6a32c75f12f804bf0d6062240d472fa3dc998e1a,https://arxiv.org/pdf/1806.00194.pdf,,, 6a64ac585cf7150253c690ed62bc92fb2894a347,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892, +6a0aaefce8a27a8727d896fa444ba27558b2d381,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578476, 6ada03f390f92704f3df1556846697c54c00f7da,https://pdfs.semanticscholar.org/6ada/03f390f92704f3df1556846697c54c00f7da.pdf,,, 6a8e4947a72c9c3b9267994a5b8f657ea63deb7e,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490625, 6aa0a47f4b986870370c622be51f00f3a1b9d364,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6175952, @@ -4231,6 +4234,7 @@ d6e08345ba293565086cb282ba08b225326022fc,,,http://ieeexplore.ieee.org/stamp/stam 9555785f2a69c6f77e08c9ce85af35026d1d65f5,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838254, 95d858b39227edeaf75b7fad71f3dc081e415d16,,,, 9563456bfdd8b18df7f764400c04976771eb8728,https://arxiv.org/pdf/1704.02923.pdf,,, +95addf732b584f7a2959f143d860863df3d1f320,https://pdfs.semanticscholar.org/95ad/df732b584f7a2959f143d860863df3d1f320.pdf,,, 95593fb20df8ce1273cebe0690cf2cdab054b9b5,https://arxiv.org/pdf/1707.01317.pdf,,, 95fc686c3de2636ffcd611e02109fb005275fbba,,,, 9595fa763c4f1d92c604a131cfc624b9edbd8b02,https://pdfs.semanticscholar.org/9595/fa763c4f1d92c604a131cfc624b9edbd8b02.pdf,,, @@ -7533,6 +7537,7 @@ c5f6ed9efc222fe2773135ffb4e5c567d98e64ea,,,http://ieeexplore.ieee.org/stamp/stam 91dec705d119cb3cc40da18f51aafac3c5c191ce,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411228, 91254b9dd1b7ab852bf6a6c346469cdf04cb0045,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6748917, 91816b4b5fb74710144b3294dec61aab4de12fd3,https://infoscience.epfl.ch/record/150634/files/Pronobis_IMAVIS_2010.pdf,,, +91d2f0b7c23239740fa15dff0b5893b992c0ab34,https://pdfs.semanticscholar.org/91d2/f0b7c23239740fa15dff0b5893b992c0ab34.pdf,,, 91c522b163a345f0e1b91e1564793cbea1b2de27,http://www.actapress.com/PDFs/contact/ProfKeithCHAN.pdf,,, 91d83d20cc22bde6b4b06afc87f76a1b0140d4e2,https://arxiv.org/pdf/1805.06260.pdf,,, 91fe10027edf7d0fc26988b5ba53ab9658ff534d,http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/journals/Kirstein-NN-2012.pdf,,, @@ -8929,6 +8934,7 @@ b14fb84db85ab4bbbcc8c92200e9c69b00737f91,https://pdfs.semanticscholar.org/b14f/b 33867c617e9f264c9e857d73358e0fd5b60a149a,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785124, 3337cfc3de2c16dee6f7cbeda5f263409a9ad81e,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398675, 3333f2f667c4fa7310a7afbe9bd012bc818e5660,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058, +333880ee776d57555f54935978ccb2ce13cfdb07,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8101662, 332339c32d41cc8176d360082b4d9faa90dadffa,https://arxiv.org/pdf/1609.02132.pdf,,, 33801601485eaa27b838a17e073d81796d8b78d9,https://pdfs.semanticscholar.org/3380/1601485eaa27b838a17e073d81796d8b78d9.pdf,,, 33f358f1d2b54042c524d69b20e80d98dde3dacd,https://arxiv.org/pdf/1811.11405.pdf,,, @@ -9208,6 +9214,7 @@ b14fb84db85ab4bbbcc8c92200e9c69b00737f91,https://pdfs.semanticscholar.org/b14f/b 434f1442533754b3098afd4e24abf1e3792b24db,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153627, 4398afa0aeb5749a12772f2d81ca688066636019,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7312912, 43bce3ce3c2edf327a1dbcb2ee34b743b8ea2fa1,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738068, +439f6206480b3ce069d75a95b1ffed9417117a17,,,, 439ec47725ae4a3660e509d32828599a495559bf,https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf,,, 43cc5ade2a9a30baf3b7aaefa9efc98a76e0de9a,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1613015, 43f36f7a5ee9dfeb45a02bc3b41a61cfa8726070,https://cloudfront.escholarship.org/dist/prd/content/qt07k6z20x/qt07k6z20x.pdf,,, @@ -11350,6 +11357,7 @@ b8fb23610ce59509e926fe068281476deeaf5687,,,http://ieeexplore.ieee.org/stamp/stam b8f08a454853b6e4230878788245f1630bd32609,http://www.scitepress.org/papers/2015/51852/51852.pdf,,, b8b202fa955801da840afc9f523d439d14d87cc1,https://pdfs.semanticscholar.org/b8b2/02fa955801da840afc9f523d439d14d87cc1.pdf,,, b88bace97d214d279e3a2053ccff0b6425295708,https://arxiv.org/pdf/1803.11521.pdf,,, +b80a7bbde2986a0b3474258ec2fad0a75813d89f,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8637445, b872b3b63beab636e0b9c5164e3300a96f7f2a27,https://arxiv.org/pdf/1712.04086.pdf,,, b89fc897a5c538b2de462fb68bab4e588eab68f9,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558067, b8554fddefd5f839a40deacbfe17a4244445128c,https://pdfs.semanticscholar.org/b855/4fddefd5f839a40deacbfe17a4244445128c.pdf,,, @@ -11446,6 +11454,7 @@ b82ffd6f490a6ff33908ad3370bbe18330a8243b,,,http://ieeexplore.ieee.org/stamp/stam b85a2d00bd69572757acff140bd32c24085e6c94,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295139, b82f89d6ef94d26bf4fec4d49437346b727c3bd4,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894202, b8942497abfc1025b3961d3e62bd326b829b068d,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578751, +b8c51b9ad3da310b590629b050152460abf7effb,https://arxiv.org/pdf/1809.03193.pdf,,, b8fdd124357113b374dadd5623c3e4c60b344453,https://pdfs.semanticscholar.org/b8fd/d124357113b374dadd5623c3e4c60b344453.pdf,,, b8349ba39a034d7bc693b6613f2bc173f0ac27b8,https://pdfs.semanticscholar.org/b834/9ba39a034d7bc693b6613f2bc173f0ac27b8.pdf,,, b85308870c2b6b8b46ec78908bfd3140ed1398ad,https://arxiv.org/pdf/1712.01938.pdf,,, @@ -13415,6 +13424,7 @@ f0304ea9943e96e645b8702c2810cca517439465,https://pdfs.semanticscholar.org/f030/4 50bf792c721293222248f906e95726ac2ac2fe9e,https://pdfs.semanticscholar.org/50bf/792c721293222248f906e95726ac2ac2fe9e.pdf,,, 5058a7ec68c32984c33f357ebaee96c59e269425,https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf,,, 505ea4493e4b733352c921401a96d92b4e6d4448,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005378, +5031a110219231ceaa820725c6e77f87f7b2fde2,https://pdfs.semanticscholar.org/5031/a110219231ceaa820725c6e77f87f7b2fde2.pdf,,, 50dc0ec4d30e67ed0065c707ddac407a021fee34,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163090, 50cbe0eb6ff6fac20629e86056d8d2e7d991ce52,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237573, 5083c6be0f8c85815ead5368882b584e4dfab4d1,https://pdfs.semanticscholar.org/5083/c6be0f8c85815ead5368882b584e4dfab4d1.pdf,,, @@ -13855,6 +13865,7 @@ f0304ea9943e96e645b8702c2810cca517439465,https://pdfs.semanticscholar.org/f030/4 136954b17d0931cc5aa93aa80ed91b5e7b402fcb,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7377017, 131e9edbe4b0322a467b7e8c35f6b0c0ca750e21,https://arxiv.org/pdf/1505.01197.pdf,,, 134f214cba50b25e82359fdd182fa0fa106d4792,,,, +1303b3e9f4bffb87b6dd34f7849f7a57e00253d1,https://arxiv.org/pdf/1904.01333.pdf,,, 133477ccff666305d183cf1c35dcee40d0f2955a,https://arxiv.org/pdf/1705.01314.pdf,,, 1301a0d7cc82c320f96902273a51c14e2644b34b,https://arxiv.org/pdf/1712.07329.pdf,,, 132045bbf158060cbbb20f86f212ce89c4358eda,https://pdfs.semanticscholar.org/1320/45bbf158060cbbb20f86f212ce89c4358eda.pdf,,, @@ -14650,6 +14661,7 @@ eb161064ea62eaf6369a28ff04493b47cf29cc0c,,,http://ieeexplore.ieee.org/stamp/stam ebaae38a09c5a4909049e16af759c71db9cc87dc,,,, ebd36259defde84deb0d4c09695b54befe538ac8,https://pdfs.semanticscholar.org/ebd3/6259defde84deb0d4c09695b54befe538ac8.pdf,,, ebb3c582d1f1a36bc678fdda74c64a70fb9a1016,https://pdfs.semanticscholar.org/ebb3/c582d1f1a36bc678fdda74c64a70fb9a1016.pdf,,, +eb5780e49ad7e713e9f34cf067d45030fb29753e,https://arxiv.org/pdf/1804.04383.pdf,,, eba13a9c5d62e254f4ee1ad48076a33be5f25f2e,https://pdfs.semanticscholar.org/eba1/3a9c5d62e254f4ee1ad48076a33be5f25f2e.pdf,,, ebabf19e66ef1253fda8d39a0569787c65e60a9e,https://pdfs.semanticscholar.org/ebab/f19e66ef1253fda8d39a0569787c65e60a9e.pdf,,, ebd28f04c2ab1e61430d309ecbf7c832173d65a5,https://pdfs.semanticscholar.org/ebd2/8f04c2ab1e61430d309ecbf7c832173d65a5.pdf,,, @@ -14837,6 +14849,7 @@ ebac4bc69488d0339b0f1be55d79d3b2520e082a,,,, 08ff81f3f00f8f68b8abd910248b25a126a4dfa4,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6948358, 08635266c783a2b7158a8c46bde42655d036c0f1,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5208233, 08df9656391012c79e426ab4552faf2d8bef1e7c,,,, +08e18921d7e405ad27956c75f2613230170997d5,https://pdfs.semanticscholar.org/a001/f2440fa49d1c137c9ca1b892857270096ef9.pdf,,, 08307351e8f2a40d7ff9bbee8deaa54dc1bad055,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8435907, 084145b7b828d93a5bb5f5dd04f3ccd003dcd5c1,https://arxiv.org/pdf/1412.7854.pdf,,, 0834dff6e1d37ecb36137e019f8e2c933d5e74f6,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751327, @@ -16490,6 +16503,7 @@ fd6c144e200c39cb7209d7dc448f3b8c4d20d573,https://pdfs.semanticscholar.org/fd6c/1 84f3c4937cd006888b82f2eb78e884f2247f0c4e,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6181097, 8458efc65d0b2ef9b23c0f4f2a41f206fcaa787c,https://arxiv.org/pdf/1508.00217.pdf,,, 846a3d3cab941d0a23223198c9001965d9dd7c50,,,http://dl.acm.org/citation.cfm?id=3078977, +84afbf356669f544f6c7e19fdb273edc93bf93ee,https://arxiv.org/pdf/1704.06687.pdf,,, 843d1955cdff66f76cf4ad410eb54afe96c05a08,https://pdfs.semanticscholar.org/20a3/55d2ccc7b2c91a8a50776438cf752e5731d2.pdf,,, 8432320153aa3a348138e27ef80ae3e8631bb6f8,https://arxiv.org/pdf/1807.00414.pdf,,, 84b217090164f63c279d38712826cd8beade2bd3,,,, @@ -18459,6 +18473,7 @@ f54d9dbad1f60de83485232707c945f209af867e,https://arxiv.org/pdf/1804.03052.pdf,,, 6ed27a41214716259676b6949999cdf4b12d0bdd,,,http://dl.acm.org/citation.cfm?id=2982112, f38cedfd93f421058682c30635a64fc0a2498192,https://arxiv.org/pdf/1810.08697.pdf,,, f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,https://pdfs.semanticscholar.org/f38a/d869023c43b59431a3bb55f2fe8fb6ff0f05.pdf,,, +f30bdc22fe454a28234cf858d5bf9de94701ee7a,https://arxiv.org/pdf/1904.03629.pdf,,, f3745aa4a723d791d3a04ddf7a5546e411226459,,,, f3cdd2c3180aa2bf08320ddd3b9a56f9fe00e72b,https://hal.archives-ouvertes.fr/hal-00817293/file/Rizwan_PRL.pdf,,, f399b174645144efdbe202a081ad3acb3c2a1411,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100259, @@ -18590,6 +18605,7 @@ f33a7e98930f9623615b6ab3133431a298586f85,,,http://ieeexplore.ieee.org/stamp/stam f3084731f770a2cda8350edef38d975bebf2ce35,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8220475, f37655c1a367e68fee926feb66b29af5be58a45a,,,, f33e0aa9940d5fd5db44c122093581cd044ca28b,https://pdfs.semanticscholar.org/f33e/0aa9940d5fd5db44c122093581cd044ca28b.pdf,,, +f38a1edab9f0f0f36718778ac8d510fd25c41269,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8657935, f3ca251ac3b05397ea6d72f2a9a6f0cf619a2a32,https://arxiv.org/pdf/1709.09426.pdf,,, f3d6b854e605abfb3270ad309eefdad7300716d1,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739069, f39783847499dd56ba39c1f3b567f64dfdfa8527,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791189, @@ -19380,6 +19396,7 @@ ce316d2366ec1b95ee91a98b4f426e6c00cdcdc4,https://pdfs.semanticscholar.org/6d0d/2 9d896605fbf93315b68d4ee03be0770077f84e40,https://pdfs.semanticscholar.org/9d89/6605fbf93315b68d4ee03be0770077f84e40.pdf,,, 9d379a866d08d930425b3cce5d883f355f5ff41d,https://pdfs.semanticscholar.org/9d37/9a866d08d930425b3cce5d883f355f5ff41d.pdf,,, 9dd227edfeb472076346cbe2c49811d1778a43a8,https://arxiv.org/pdf/1810.08326.pdf,,, +9da3ade53bf91556fe46828b216aab20a4e72294,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431470, 9d00e7465dcafa40f9e0fa0939aa648184c84b4d,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631487, 9d6c5dc5b212d8a8e94e7c52b0a2e4550aa2e117,https://pdfs.semanticscholar.org/9d6c/5dc5b212d8a8e94e7c52b0a2e4550aa2e117.pdf,,, 9ded6abf76768305ffc9649c39b168656b61f714,https://pdfs.semanticscholar.org/9ded/6abf76768305ffc9649c39b168656b61f714.pdf,,, @@ -20497,6 +20514,7 @@ bce36092b1910ff3d492f86aa3a39ed8faaf72d2,https://pdfs.semanticscholar.org/bce3/6 bc7e6175aed6538eca08962e133aede11fc75bcf,https://arxiv.org/pdf/1808.01623.pdf,,, bc5bc032467c4179ced33c01e35dc4800227b294,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960179, bcf2710d46941695e421226372397c9544994214,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7378076, +bcdb697c9d748f7655859256b0228a51b19b6fee,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302069, bccb35704cdd3f2765b1a3f0296d1bff3be019c1,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838249, bc14c01ac17f7b3527435a650503ca26f3c84aca,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877970, bcd59b43aaef7f466eda609e3f887a3db4ae3b41,https://arxiv.org/pdf/1804.00242.pdf,,, @@ -22281,6 +22299,7 @@ ddea3c352f5041fb34433b635399711a90fde0e8,https://pdfs.semanticscholar.org/fc6b/2 1d59ffad091a5bffa5fe935b79f5bfc08d2e802d,https://pdfs.semanticscholar.org/1d59/ffad091a5bffa5fe935b79f5bfc08d2e802d.pdf,,, 1dc35905a1deff8bc74688f2d7e2f48fd2273275,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206631, 1d82e7736268917cc3d87a2ee0896b03e02a5ff6,https://arxiv.org/pdf/1705.00601.pdf,,, +1d1a2387663cb3510d6f5c0651c1dc55e48dcabc,https://pdfs.semanticscholar.org/1d1a/2387663cb3510d6f5c0651c1dc55e48dcabc.pdf,,, 1d50e3a90ca7084319e3ae3822e08790fa99654d,https://arxiv.org/pdf/1902.03284.pdf,,, 1dea8b1bba7f12575049d92631706b5999d6899d,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7942585, 1db11bd3e2d0794cbb0fab25508b494e0f0a46ea,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247892, @@ -22917,6 +22936,7 @@ c44c84540db1c38ace232ef34b03bda1c81ba039,https://pdfs.semanticscholar.org/c44c/8 c419b3c1ff156a0e8262f8f43a4118fde57ae37f,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393378, c4cbef8b1f3a5aee0d9a92ef00971b7c833723aa,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5437861, c41de506423e301ef2a10ea6f984e9e19ba091b4,,,http://dl.acm.org/citation.cfm?id=2654993, +c43c3ec39005aaf1f0ad2f641d92f41021342217,https://arxiv.org/pdf/1812.00440.pdf,,, c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d,https://pdfs.semanticscholar.org/c4ba/a3d2fe702d3e96c500274f7fd9e63f8b3d6d.pdf,,, c4072181e35b989b812da9e346e45234967e356f,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486570, c4a0e89793961dc486964802df55ae73fbba60ee,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390, @@ -25048,6 +25068,7 @@ f8f14c0248a4974ce9a6226db81f9745a6b1ea97,,,http://ieeexplore.ieee.org/stamp/stam 660e541f4d2f769b5492ced2dd8a2eaddd94ee74,,,, 66be409861ae97fecb6c70ef160504574bba6dd7,https://eis.hu.edu.jo/deanshipfiles/conf113302384.pdf,,, 66dd296261268061140f60b0cebec9580148c346,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934427, +66a08ff2ea7447093624632e7069e3da16961d30,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7605450, 66e5c4f051c49f0ce0d521c53864b211c6ae143b,,,, 6634318fa67bb8866d2579760c7b5763d0ee46a3,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247695, 66ebb070ea8de63afa11cc856fe2754ea39a93ff,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6491798, @@ -27171,6 +27192,7 @@ e104e213faa97d9a9c8b8e1f15b7431c601cb250,https://arxiv.org/pdf/1802.04636.pdf,,, e12ab9717a867c706ce8141de9cc430524c50774,https://pdfs.semanticscholar.org/e12a/b9717a867c706ce8141de9cc430524c50774.pdf,,, e18d09be7d1d347258d7d0ae85526416c5389cbc,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6780028, e1e1b3683ac278386cf1569e97f9aced0923f4a0,https://arxiv.org/pdf/1804.00623.pdf,,, +e1a784e360f2bf3911cffa30506d46c412659db5,https://arxiv.org/pdf/1807.00980.pdf,,, e10f4d5c0e0e294e00ce3a92b2057c4b2a5acf09,,,, e16831b6818a3ffec0785bac21911062ab04370e,http://smartviplab.org/pubilcations/CL/HOG-assisted%20deep%20feature%20learning%20for%20pedestrian%20gender%20recognition_JFI_2017.pdf,,, e1d726d812554f2b2b92cac3a4d2bec678969368,https://pdfs.semanticscholar.org/c134/a2441bc1f3ec6b85f22868284c279881b918.pdf,,, @@ -27366,6 +27388,7 @@ e1924a925cfcc3db29f8006b8eed83aad9721a24,,,http://ieeexplore.ieee.org/stamp/stam 96ec628fc3608f88fdef998bf68eb37f7ae17359,https://arxiv.org/pdf/1811.05013.pdf,,, 96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d,https://arxiv.org/pdf/1611.05396.pdf,,, 96fc15d01a202446179546a5bea8106a414232a7,http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part04-pde3-6on1.pdf,,, +9607f88fe6298f754e3f610c3a587d8e10b1b0a9,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545073, 960ad662c2bb454d69006492cc3f52d1550de55d,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5567116, 96fbadc5fa1393d59ce0b8fd3d71aebc1fe35b40,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532959, 965bf5726891428a2af6922ead4779c0a1331392,,,, @@ -28948,6 +28971,7 @@ f74b62933362cce595ac247fc6f54ede68697d75,https://pdfs.semanticscholar.org/f74b/6 753119d52d611a0d08a2d43601719325f89fbbc2,http://discovery.ucl.ac.uk/10050829/1/s41598-018-27102-z.pdf,,, 75fcbb01bc7e53e9de89cb1857a527f97ea532ce,https://pdfs.semanticscholar.org/75fc/bb01bc7e53e9de89cb1857a527f97ea532ce.pdf,,, 75031316b3d1473d8994a068f43d57ad069d22ba,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900157, +750bc0d2c9105a352001875127d796599a994886,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8464244, 759a25606bcce2c2fefe7b83e091186a0c521d13,https://pdfs.semanticscholar.org/759a/25606bcce2c2fefe7b83e091186a0c521d13.pdf,,, 75d7f05ab38afc0f9f5b59843f716586564bdccf,https://pdfs.semanticscholar.org/75d7/f05ab38afc0f9f5b59843f716586564bdccf.pdf,,, 75e02f14e9871a405d2d367dd7c77c730499fed6,https://arxiv.org/pdf/1706.05274.pdf,,, @@ -29069,6 +29093,7 @@ f74b62933362cce595ac247fc6f54ede68697d75,https://pdfs.semanticscholar.org/f74b/6 7a329ed2735f5401d6f978036fb859b10a4fb96a,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7402161, 7a9ef21a7f59a47ce53b1dff2dd49a8289bb5098,,,http://dl.acm.org/citation.cfm?id=1401234, 7a0e9de471b25252afbf8cec566d4962538c5b78,,,http://dl.acm.org/citation.cfm?id=2910619, +7a9c2524a157a6b5d0204c2f3b187cd67eb26b4c,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478157, 7ad34c3c9647bbfd9e404f802a21fee9e1029f13,https://arxiv.org/pdf/1806.06553.pdf,,, 7af15295224c3ad69d56f17ff635763dd008a8a4,https://pdfs.semanticscholar.org/7af1/5295224c3ad69d56f17ff635763dd008a8a4.pdf,,, 7a4ea124a971bdda4acea4b539092d4d22c0e169,https://arxiv.org/pdf/1804.02675.pdf,,, @@ -29376,6 +29401,7 @@ f74b62933362cce595ac247fc6f54ede68697d75,https://pdfs.semanticscholar.org/f74b/6 828dfdb73b6fc92952ca88edb8162d430e6cd995,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6882002, 823db29d4c2a79e309ad2b394a4aaa83d9e15284,https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf,,, 82953e7b3d28ccd1534eedbb6de7984c59d38cd4,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906266, +82b1ca78b2fc7ae0459f5d7c61a78822b8a590d2,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658794, 8298420666fc817271b52379d3f2a96d8990fcbf,,,, 82430878b6ee7a427ac389b51407599909576084,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472015, 82d5656c74362d6c5c5fd889fc48f7816bbb033a,https://arxiv.org/pdf/1808.02212.pdf,,, @@ -33122,6 +33148,7 @@ e75cd1379b07d77358e5a2f4a042f624066603b6,https://arxiv.org/pdf/1707.09472.pdf,,, 547b09ddbc94900523d60dcfc51b61add7699588,https://pdfs.semanticscholar.org/547b/09ddbc94900523d60dcfc51b61add7699588.pdf,,, 54c7c3909c7e1e827befdbe8d2595a3b196ba1b8,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731, 5489f0a7e4ac405ce99f638097897bc45fcf805e,https://pdfs.semanticscholar.org/5489/f0a7e4ac405ce99f638097897bc45fcf805e.pdf,,, +54c9343c247ce5a82bc52f83df84c2bbae737ce4,https://arxiv.org/pdf/1901.08296.pdf,,, 54ffc4c83974d5915025f80e54e350cd30ef96d7,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126307, 54e6343f4368d9e5468c3e83b6eeb3a58a3c7555,https://pdfs.semanticscholar.org/54e6/343f4368d9e5468c3e83b6eeb3a58a3c7555.pdf,,, 54f07b2e74f20f118cc9a37674fdcd5d74d985b2,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4341635, @@ -34719,6 +34746,7 @@ a432f815d753121267ffb524f8fabac21be32733,https://pdfs.semanticscholar.org/a432/f a4431f94df13f3cc68630ca82fb5487f1cbf4be0,https://pdfs.semanticscholar.org/a443/1f94df13f3cc68630ca82fb5487f1cbf4be0.pdf,,, a4044c27188bd7279e406e0508f4a9548ba909c3,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258, a4a5ad6f1cc489427ac1021da7d7b70fa9a770f2,,,, +a4ffdc6f0811b5adbf41d20433a44fc546197b75,https://arxiv.org/pdf/1802.03480.pdf,,, a48ac2ebade8a0c77c936e45756bccef9668d8e6,https://pdfs.semanticscholar.org/a48a/c2ebade8a0c77c936e45756bccef9668d8e6.pdf,,, a444fd7229e2b635f6d179043541d9d90d661978,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771436, a44c8484151179f903499294e8a866b13f43792b,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7014877, @@ -35790,6 +35818,7 @@ ed68ef03a97b8441fd6a676e095b01dd3b5bc54d,,,http://ieeexplore.ieee.org/stamp/stam 3e50ee66e4bae05600f38170847b1d945e2f99d1,,,, 3ef1db04e9f4d3c986d3eef5216562c844e9faba,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337519, 3e734cc79496091e8b08df8d781d005651885c38,https://arxiv.org/pdf/1412.3684.pdf,,, +3e667c54e848233db092b794f2cfbf47ea63b771,https://arxiv.org/pdf/1809.09574.pdf,,, 3e56a9b6c6aced2cb14f9cd7f89d145851c44113,https://arxiv.org/pdf/1810.08332.pdf,,, 3e4ec7bdd279573d328a26b720854894e68230ed,https://pdfs.semanticscholar.org/3e4e/c7bdd279573d328a26b720854894e68230ed.pdf,,, 3e63cc52832039f6d5b004687b2ffbfdfc62a865,,,http://dl.acm.org/citation.cfm?id=2702421, @@ -35888,6 +35917,7 @@ c7873037228a009917085556c514a90f9817cb08,,,http://ieeexplore.ieee.org/stamp/stam c75ba6ef724c0c3a9c9510a70da4cc8729b59a35,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654137, c76eee7a6656664bc37890f3754ae202255ffff3,https://pdfs.semanticscholar.org/c895/f0dcdfe7a84f0dc3131f08735e2b2558e25c.pdf,,, c7cd490e43ee4ff81e8f86f790063695369c2830,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805472, +c7f4e18ec3a805b8aee1d3d7552364c8f5f6ca1d,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8525541, c76f64e87f88475069f7707616ad9df1719a6099,https://arxiv.org/pdf/1803.08094.pdf,,, c719a941d3ab00e45d1d74e7533ed59cc0740ae2,http://www.romanklinger.de/talks/nldb.pdf,,, c7f63fc2ff20513c6dc233ec3419417b43b39209,https://pdfs.semanticscholar.org/9a99/bd27fa9ea7f531fac31b0b02ff84c20e1a1f.pdf,,, @@ -38115,6 +38145,7 @@ ec196dbede1772541bb9df2efeda655d377b291e,https://arxiv.org/pdf/1805.07499.pdf,,, 2ff9618ea521df3c916abc88e7c85220d9f0ff06,https://pdfs.semanticscholar.org/bb08/f64565ee68e868dcab904cada9646dd5f676.pdf,,, 2f6e6ffffeb9538362b4dfcf90ed242c57317a1f,,,, 2f5ca5c5c983c23bcfe897aa467fde4097188f52,https://download.atlantis-press.com/article/25866367.pdf,,, +2f02c1d4858d9c0f5d16099eb090560d5fa4f23f,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545068, 2fe5bea76853da079512595fb8bdd74ef4ccf12f,https://pdfs.semanticscholar.org/2fe5/bea76853da079512595fb8bdd74ef4ccf12f.pdf,,, 2fa2a186dfae16958bb3bc8752c57a749ccb4f41,https://pdfs.semanticscholar.org/2fa2/a186dfae16958bb3bc8752c57a749ccb4f41.pdf,,, 2f61d91033a06dd904ff9d1765d57e5b4d7f57a6,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532953, @@ -38335,6 +38366,7 @@ e510f2412999399149d8635a83eca89c338a99a1,https://pdfs.semanticscholar.org/e510/f e57acaedd5a76e338bae790d8464aadada4d4902,,,, e5d27e52fafde2b09ae6568fc6bde28468f5517e,,,https://www.sciencedirect.com/science/article/pii/S0042698915002254, e5256d2798f997e666a71a20fcef35e2bf597349,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6108890, +e586547a63400881c7a95d6ad6d5fa31ac237ca9,https://pdfs.semanticscholar.org/e586/547a63400881c7a95d6ad6d5fa31ac237ca9.pdf,,, e5e40c7163fce41c3d42116b486f24e99e7ebeba,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308276, e5a1864f6073f35920a8f7a0a368ff66b9dc6284,https://arxiv.org/pdf/1711.10378.pdf,,, e597aca96ea1c928f13d15b7c4b46e3d41861afe,https://pdfs.semanticscholar.org/e597/aca96ea1c928f13d15b7c4b46e3d41861afe.pdf,,, @@ -38561,6 +38593,7 @@ e5f39fee9b241b83f27ff9fce0fd027268c6d030,,,, 02da0cab1152eb1c43266687ebff8389c2d6b27b,https://pdfs.semanticscholar.org/02da/0cab1152eb1c43266687ebff8389c2d6b27b.pdf,,, 0233c06139127a83e645bdb14f11674ed610c72c,https://pdfs.semanticscholar.org/0233/c06139127a83e645bdb14f11674ed610c72c.pdf,,, 02218fcd3aece5a7bd19255d74b12f63dfa5c1a7,https://arxiv.org/pdf/1704.04517.pdf,,, +02caadae027f983261d93e40f4d9d1f785163db4,https://arxiv.org/pdf/1806.03891.pdf,,, 0273414ba7d56ab9ff894959b9d46e4b2fef7fd0,https://arxiv.org/pdf/1611.09942.pdf,,, 020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb,https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf,,, 02fda07735bdf84554c193811ba4267c24fe2e4a,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4107567, @@ -39387,6 +39420,7 @@ e5f39fee9b241b83f27ff9fce0fd027268c6d030,,,, 6f37b6da734c2a13d2860bc5a23e809148b39bd7,http://www.robots.ox.ac.uk/~vgg/publications/2011/Buehler11/buehler11.pdf,,, 6f70e85442959079bfb67b925c660fe86cb4ba24,https://arxiv.org/pdf/1504.06243.pdf,,, 6f81178c6f042f5e0b7dc226c1509596dbff63f0,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457929, +6f172b6635ad9e3d3e0ab65d931dcb354eb9ff73,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099570, 6fe2efbcb860767f6bb271edbb48640adbd806c3,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654143, 6f4a596c80b5ccaf44a076760761c4f132920b11,,,, 6ff8a87d91c9765609e3c12ee101a9ed82718d26,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8341858, @@ -39484,6 +39518,7 @@ e5f39fee9b241b83f27ff9fce0fd027268c6d030,,,, 99f43e5f8f4348c04e97590ec173d61d2be1882d,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726, 99d06fe2f4d6d76acf40b6da67c5052e82055f5a,,,http://dl.acm.org/citation.cfm?id=3268909, 99e386cf71727ee66d5ac77693e107c78508f899,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751397, +99c1bc2b09210d016a252ddae051ca7cf7fe0a56,https://pdfs.semanticscholar.org/99c1/bc2b09210d016a252ddae051ca7cf7fe0a56.pdf,,, 9932fed53ac89a83a8af561095b090b2900c6dce,https://pdfs.semanticscholar.org/9932/fed53ac89a83a8af561095b090b2900c6dce.pdf,,, 99029377dac51a3f60063f61cdc5471866c348be,https://pdfs.semanticscholar.org/9902/9377dac51a3f60063f61cdc5471866c348be.pdf,,, 99f9a3437fbdc3ca7a54d4c9eb6973334f50f51f,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296942, @@ -42574,6 +42609,7 @@ ea7d9a72e5f804567da3e9d937bd7d240c546d06,,,, 5d31da6f19d69c8f83eb44c6f6586de930ee86ee,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578701, 5d2e5833ca713f95adcf4267148ac2ccf2318539,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6121744, 5dd473a4a9c6337b083edf38b6ddf5a6aece8908,,,, +5d49632f8c8cd06cd5ce66f007aa140f40c12c45,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615907, 5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac,https://arxiv.org/pdf/1807.10336.pdf,,, 5d5533b8b95f25f63e07786cf3e063c8db356f1f,https://pdfs.semanticscholar.org/5d55/33b8b95f25f63e07786cf3e063c8db356f1f.pdf,,, 5d9f468a2841ea2f27bbe3ef2c6fe531d444be68,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309167, @@ -44485,6 +44521,7 @@ ac8bd8663c26d8cc5d73fc91dd269c38d437f47b,,,http://ieeexplore.ieee.org/stamp/stam 97e569159d5658760eb00ca9cb662e6882d2ab0e,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619141, 973e3d9bc0879210c9fad145a902afca07370b86,https://pdfs.semanticscholar.org/973e/3d9bc0879210c9fad145a902afca07370b86.pdf,,, 970681bbc2ee19a1e9f6c765ebf86003fbdc3471,,,, +976647b32fd7e1a5c8ee4a11792155903bb34e43,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359391, 9752e9c66d6bf09d07d15726f7a7f086b9b13572,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587904, 978b916b76e2b8e48e95ac6044445529c61c2735,,,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495861, 97f665219a42faa8e625625257cc35f5dcbaf0ba,https://pdfs.semanticscholar.org/97f6/65219a42faa8e625625257cc35f5dcbaf0ba.pdf,,, diff --git a/scraper/ids.json b/scraper/ids.json index a2271b1a..bf046117 100644 --- a/scraper/ids.json +++ b/scraper/ids.json @@ -1 +1 @@ -["b6b1b0632eb9d4ab1427278f5e5c46f97753c73d", "b6c293f0420f7e945b5916ae44269fb53e139275", "1055f2e7443e1839f027286a895f3a0ff5b7e46d", "06ce9ba74589ca179296318a76e882fe610b729b", "257eb6d5ca49eb4ea90658a8668d1853d9c38af7", "26f6c01a60ae0e494e45f5bc187be76996cb79c4", "07085ab2c726111df1d864ac05b9a8174f409a41", "13dbcb7f8f66c0053a971087ed80b0f1ccf7b513", "9035dc898c10b203589699063908073b2f1d2e2a", "021506ae5dffbf49b2e5d9892ebb229916d14ebd", "9d379a866d08d930425b3cce5d883f355f5ff41d", "cc79452d131af9cc3514781c57488aeb9dc23b6f", "6f3f551e26a89e34de89c6d6f68acd7aa3e11db8", "6b8623ed0f268050e6b78a23542884038637639d", "6698ce798f89d42d0c2f9d254ae6f667bd140ba3", "2e147e6f3f233e2ad9e0b5433f726d25b577f54d", "672757f13520d4d0d4584704d33c38852e3c5a46", "4b1cdb96a39cf23139a21915ba9e3e0692de8563", "41965f0c83b2ec081f76b043a7d3c48a9b26f0cc", "26ac607a101492bc86fd81a141311066cfe9e2b5", "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "3d3629628cd14b0482fb172f1e39dc33e285342e", "d3686b774b5e642f9527f16df5d94e32718bc543", "e60886ed1bc130a07c82a08586663899b651aa90", "9e308d6902d15c98d264f9e592fb358f25244cdf", "ffb9b279574d6158b18ab14276fa3867089777d3", "9a244513f3a0f9421fe7a05e41d77fc53084b939", "a05a770bb2b7778e195a578006482926dfc1af82", "200d4ddf487bfccabee9660efbd1779afca990cf", "12ce51fe04c5bb6fdf93a831a3271edc656f858c", "dd278c1541535775d2a6687bccf49f15c0cd799b", "b62628ac06bbac998a3ab825324a41a11bc3a988", "25d6413f029a462bce78e8295ce8ac165c2b5439", "3574bd487622fc1d6d88cda4ba31d87f3d1a5bd6", "19fcb95815e4c225b250f7deed9be3e90963933d", "4d80e500f65598358771e4857c8fe29be2354e60", "b7e701df99735efe86a51b1e0740ad06aabdd67a", "3f957142ef66f2921e7c8c7eadc8e548dccc1327", "263c5b952cb85c3820fe903c48f7a76abcd7e778", "1234323164b4512c5ffca6b6c53fdc8c2e7fa8bf", "e2373a719f882842f4ec220d6fcb184a13a3e565", "994cf026a1ee3e4b30dbd23f8bb554352bb00b02", "7bf39b925e35b286786eea3a447163cf67afd530", "d6829332d0596659272451920d9ff778b0b400af", "08635266c783a2b7158a8c46bde42655d036c0f1", "a46b950e1aa97ab3033d8a21fabb1952fb7eb5ce", "db6d00f9237cce392c08b422662b48baa2ed1b80", "62b08ce91aeb8714d97f8597efe2d8e734b88eaa", "d594c9e6ea0e95974489e3f599bd439081eb7748", "cca2bee0973e347efd7b3d145b6d23286c801bd1", "d4a44459849ec8fcd51f9b5eee196e197d15e005", "ccdea57234d38c7831f1e9231efcb6352c801c55", "b9be594ce13c272304609f0deeafb2b301748820", "f20ed84abcb1223f351a576ef10dfda9f277326b", "da9a2d550689e55b7f2871b72dedecbb1c1fe84e", "5c13b8175e7a78cbee3422de5530581c23cf3070", "30c30d661ad009b5edaf6dc887d4e394a24e148f", "288d19731902bac26b413898aa56d060f23fbb38", "4053e3423fb70ad9140ca89351df49675197196a", "4103ccc3472cfb38bfbf76e7d2d0469e7b055441", "6ed31ae1142ebccb3c332eb7c2586010b135e993", "39d22694f676fc324e52d831892076fa6e4456d8", "4689e75bca5a6eb1e3e1d6bcbd78d67ee39bb378", "73bf4ea29daead8e602aab10ded00d49a0621534", "e20e06ea1aa6e94721638ffc8e3bdcc0ef574b64", "e41288da544ceaf97e0221ff6c25d389b8ed4dcd", "11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8", "597fd0ba70a6ff2f414b76822a204d6a46334b2c", "ea98b858a79daaa33bbcfc1ca12d28e9660f9da5", "43cc5ade2a9a30baf3b7aaefa9efc98a76e0de9a", "92a26d999fd3fcbea6470e060190df30d198f6e2", "4a1a5316e85528f4ff7a5f76699dfa8c70f6cc5c", "21f2f1693fdb6478a8f3306f377f1ce7df6e036e", "3cad02aa184d4d429b140918711d2fee5ee1ac7f", "08307351e8f2a40d7ff9bbee8deaa54dc1bad055", "97470d68743f338070f32fbb75b7c8a3cb4c045d", "6eabb24b358dea9c66ad28d2efc2c9c469e115c4", "7c622df16f06d9f1c1af7262e91c54906e1b7e0e", "6f1735c4222cb5d73ef70506aaae56e2ed496593", "9fb3f13fa1085dbf0c89158640979dad70047121", "9863dd1e2a3d3b4910a91176ac0f2fee5eb3b5e1", "0fce433d7d631bba0e13ea7a8a8e2a3bfe9b5be4", "de6ba16ee8ad07e2f02d685b1e98b8be5045cb1b", "1ab4fdcd431286a2fe9538cb9a9e3c67016fa98a", "b510d66bc70772f89924863a8555d815aacf3bee", "1c49fbebedb3dbadac5c120407c9f355c8ccd2fe", "f688a3eb3a8fb068ed916cfdd9fc71ee2ec453f3", "4bd098ebd4802963dfc6dcb82e17011ab63c061c", "9ca0626366e136dac6bfd628cec158e26ed959c7", "7020df589ef9bf220d5289b0092a07b191534972", "12c713166c46ac87f452e0ae383d04fb44fe4eb2", "03f6333d90852313207a7b6482ef6a2c86f30103", "7ab7befcd319d55d26c1e4b7b9560da5763906f3", "2fa4096260ae64fa704f9ff8d7a8d1552f903f43", "7ba4b47d3bc516194a71e6be6d59dfa91c80c09b", "772d15efe06d741b4ab7c5524c5384406731a3f7", "26779e1152bcb0072eda2abf4262c72fcfbcda2e", "146879bd04a1ab25dce3484bc587e5f2ff1b1d91", "4a227881f5763d2bda2e545eac346389b2b2017a", "54d448f7238b424d7504543e4cb81a0e94ecc6e6", "3000921934fa84cba1a38a602f403460531e0cc5", "d83db03f8eae6dba91ce044c640c6b35ccf541f3", "e4754afaa15b1b53e70743880484b8d0736990ff", "f75f798d428831fcfa786b1884934032a397fcb5", "c5ea084531212284ce3f1ca86a6209f0001de9d1", "72a5c063a1de137dcd2276c26869661f6ff5f2ab", "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "25b367dd1cc584a89e8fd7b34a7d98d212a9f168", "52d73ed5bdd93dd02e6ef42e6f5e1963a04729bb", "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "02601d184d79742c7cd0c0ed80e846d95def052e", "7241f97a425d5249cbba39ff9a8fdae160e9e1e6", "79ab59b0fafda4c3f369dbb7fae61c620dabcd10", "cce036465ee448980f2c3234da3a4ddd90428ccf", "04c606e8e33cccc69060e42db53738ec6a0f1d03", "086024b3cc6900e52eea16f75c0984e29b1ed5be", "9e3d697dfd0364314aac51522ce3778bc542b17a", "f0e2dc3a32a422c3025ab3894316ca57a250c8b1", "409c81bf488c23a1c8d54dabf7360dd676d5317a", "7189d5584416ef2a39d6ab16929dfecdddc10081", "f8b5ff1f9e5e07ae5ad3138236a079f7fb3ef95e", "dc7203d64a985b86f2f44bf064220801ef279382", "ff27963c5bce8f46ca4adc5bee209f35dfd69633", "2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f", "b930c1c078817c1f4d714fc02586c2de569ce385", "6a74b6a90627a9b3b980ef3b76475c74f361c0ca", "565428129e99dbfd6f3cba5f09f086a35a1cf4ec", "cee01863f5fe2fedf6138a0e98503ff7cabb0804", "e871849efe8eb5b1b28a92569a02476831791e2a", "864be4c09001478ec5a916401430f5099c022e06", "188ee38f451cb2134bd11e4265cbfe26ac0ab717", "8f3ea4eedb0cee67298b4e04d2cbbff20726cef8", "7bee43956fd72d86ce7d1f8f6667aefd2de75f98", "0e1403f2182609fb64ed72913f7294fea7d02bd6", "9fb1d7cbf1baf5f347d159410d22912fcee1fdb1", "37b6d6577541ed991435eaf899a2f82fdd72c790", "8f196d7785d5d3ff7a27fab7421e914dedaac9e9", "8e69534ae2f00025226c3a46dc6efb4faa3d396a", "2824df698947e769a0ade70a885cf002c85eaef9", "8735b8a6920c120cb29c9f206686f502d256ee57", "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "af7670424323aa8e2eb443047b227d3ee58b5839", "04218d1f13ab9569c6f13a33d329fd548f883dd4", "42fc28aa114a47a8c532c0550e38484bec44d96b", "f23cdb221627cab6d0804e58cefc0d55a7d9a97f", "7ded2365594d85f2e54445ef86bdc52376effbb6", "7c4b406159e0bd41cf97a1094ae6b44937de477a", "7ec4b0dc697d87cbda4deb8dcdad24294b21b4e8", "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "576a15c6a2f83b0b22f692809e4d62ccc114a55e", "4a07aee89d068d65302d55c82277f3a1c6c33bef", "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "ffaa62f221b6851e2180d29ea645187fc24077ec", "96e030c3841352604108c1a703d972917a7df159", "2e091b311ac48c18aaedbb5117e94213f1dbb529", "3db446e1d9de7a712933dcc86f57e83e2ee00b19", "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "dabd413deabad57bef8d426f7016db0b25ccbeb7", "c5c351b094cb1edfc28f90bcdad599ee5411f4f0", "ca50d76d065b22bf40d8144729f89e36e732e046", "9ea73660fccc4da51c7bc6eb6eedabcce7b5cead", "35fd6c9f2e651259ee565475f88faeb523511d4e", "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "dda0fc7d5749737d4248b7c969bce9bb80c33dde", "1439585bd001630d997712fd4c05cfe2d5faf84f", "e74e2004d8b7357c35d727cb4c92ca97142759f0", "54be36792f90365609dd800d49acdadade5f142a", "184750382fe9b722e78d22a543e852a6290b3f70", "41e6dfe1a87f49c8539f725daa44256c19f31004", "bc8221265579032dde52f46b5adca39072755841", "0d7ddcf97b1341d8d4bbc4718f4ca3094e994a1f", "013909077ad843eb6df7a3e8e290cfd5575999d2", "3f0549b74ede40707e36fbd67f4a32a38569ad9c", "929bc3e0dbf97a4546b95d459951b0c0056852f7", "7ed1b3a0c270c6cac133e91858e3848d843e1ec2", "c51152debb1678a069d86d1e72e7b070216caaa0", "8f39d9f4063e321703798309ee9dac1059d3d1e2", "f4aabc7d1dd76dff357d65084ac04afd73051ca8", "370b5757a5379b15e30d619e4d3fb9e8e13f3256", "3e064080a6c3fe28bcf87eb297c7f2843e5556df", "c0a9f8c2b1ad60c9d42252c80ff8cea4a3a25c2c", "5b693cb3bedaa2f1e84161a4261df9b3f8e77353", "3adb3d43bd1e12659c7bc31f8da51adac4187abb", "9408e93f12fa536854a71e2875030a7b2f67341f", "2b6d4e638d75bb8ff98185675c4c759e317d5d78", "dc0c7d66d46919fe5f9fb2b5dde8bf3ab7972d1d", "6670a64f6898accdb8cfc7aae50dee0af369c6a2", "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "422fc05b3ef72e96c87b9aa4190efa7c7fb8c170", "7182bb21af9ed0ac8f34f2ab305fca563301f433", "a18ce91d629a6e2ad1a7c8dc526be973a9862361", "37c8514df89337f34421dc27b86d0eb45b660a5e", "44b315edcadf527af7eb7ac2921341a03fd73970", "25afa24d85e693351bad795ee1c3e801d10c4a15", "482b389c3d8598028644179f2396c26007355625", "d2f2b10a8f29165d815e652f8d44955a12d057e6", "d8f72f50cbe6e0fa4025bc990b7e8a52cc6bbad9", "5c4c5094f383544aacff6bfefce7f358ceb894bf", "5f068009502bf749ec4805f149310e0cfd03038c", "de7daa206f1dc3d5f83c5342fc08e3e92ddfa126", "c542fa8c4cfaff6a8d8efa9678e42e1b9ead8aa9", "cfc9056155bf32648448b588a752f694b4e8249c", "e9809c0c6bf33cfe232a63b0a13f9b1263c58cb8", "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "a5f10a8c7a64c3339f7cbad9b518ba29f5f74b7b", "37910df366ca9989d8ce322f895794bc779820d5", "090ff8f992dc71a1125636c1adffc0634155b450", "240c11a9699b95e69ea6cfa15f5c8de6dba4f09e", "c7745f941532b7d6fa70db09e81eb1167f70f8a7", "83bad2dd911128071c72ed4e27e75921b56a2d1f", "61e65cb1391c11ccc4476a19853d616153e522bd", "24ec4cd704d07865ce31fe539d00cd2597b5dfc9", "5327241cdbfcfa39abadb4753c7f3706bc24f94a", "b60119a85720ac9c85a69f6eea3694cecfa77b6d", "20a00347829b79afa6fffb83265872304ed9256c", "061d88c882e34e9204695f2d4e0bd418cca4a618", "83ed55f6a5d95a4fd8c92ca912cf216e92ec303d", "76a6fa5db2e117b5ad926503d24863deb26f949f", "b62ce008de40a54edd08e82af59f88704ced60dd", "3fb0a5517d6e855b7b7574394ff781194b72c7b4", "3fd7c26c6aec1f2c522cced79959906c9ef64867", "1ac4faa0b772d6b608bc7cd3a5a6b530518e2c29", "154b9a1a4dd5a01dfb4914d4aa392ad9cf43b98d", "cb6b9cc908a2862a17a1b4560ead1a49989275bc", "57d33c0f8d6998d665a7ec6672a56cf8e7729c14", "16f5966e345d729e748d7ec2df7fc8e094c8d852", "5484ad04ac0a256b51fd1a3eae48483480862ab1", "4188bd3ef976ea0dec24a2512b44d7673fd4ad26", "59436fd423866ccbd9841933f7a9ef7b5f17f52b", "044d9a8c61383312cdafbcc44b9d00d650b21c70", "5c1fcee7c31fb2dd54a35670b63cdb2af5726ae6", "89496d72878ff71ad13d8957210f2f5bf30d637e", "0bc6c3ee31d35eecf505bc8eabb98d553b351ba2", "10bbdbf86b3dd9a60f9be01401e0585250c97477", "213775a1d8268bb6b056f00f1dc81205e84a5fdb", "25899b46ded451547a913567db876c75c305b1a6", "7db00be42ded44f87f23661c49913f9d64107983", "08a6cbbb6d3aba08fc6a1c238278243222eaa5a8", "bd2dcca948801b68091f9ff9278049d7e4d87756", "ad7a3b600c67a604d51cfdc721069af31469c397", "a820941eaf03077d68536732a4d5f28d94b5864a", "99b8a24aacaa53fa3f8a7e48734037c7b16f1c40", "e7ccc669084d42c25f429dc61bac9f481100c2a1", "d86992d3ce3c2b89ddaab57244d91dcce610412e", "59a35b63cf845ebf0ba31c290423e24eb822d245", "29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d", "07319e9be3a107902335eba29b3c6bcde86b5045", "1ba384ef80ab9295162833ed2658aac119fe9cc3", "5a8d5d8c08d9ab3cfe6fa15526cdad284755b66c", "21853e5624b6ac24c19659c336aa46eb4e491ee9", "fcc76b1762dbeb49cbfa30ca66bd405e015ca331", "5f593354fec6d6ab770a3e000684b9280cef5bbc", "1888bf50fd140767352158c0ad5748b501563833", "895414849dd5e953feb6801b8d3aa7fa005b1f8b", "a8c53c57cd0f4757ca07c9f1d0870cedadbd2f7b", "d1443d18d40c323d5ad01277675ee00c8decdb99", "2179afa1cb4bd6d6ff0ca8df580ae511f59d99a3", "d3adaebed00fe94d9dc8d9a80d63dd15c69bb8c1", "b93ccd76e56a60461bd60604c918c33111288e80", "63d865c66faaba68018defee0daf201db8ca79ed", "f95d9759566e766ded8902a65775b5f6bdccb3f5", "63cf5fc2ee05eb9c6613043f585dba48c5561192", "02cfef55937103669a40710404ab5f0afd4498e8", "5860cf0f24f2ec3f8cbc39292976eed52ba2eafd", "20532b1f80b509f2332b6cfc0126c0f80f438f10", "4fcc8e5d78c166b40e5b6ee439edc9092811c159", "548233d67f859491e50c5c343d7d77a7531d4221", "1f5e9952cd225dc4677146ae0f9901f070d19cb7", "bcbebb62125751b9957fb5ab765702a445fb8146", "5b6f0a508c1f4097dd8dced751df46230450b01a", "34d8287c2c84b30ef056c0a07f13404ca5ec9471", "aff92784567095ee526a705e21be4f42226bbaab", "dac3fcb9fd51a22ea27cb911b95051387c5885ba", "8c3e775292d170e5c3533c03c0f8e8e404eaa86c", "38fb6eada1e62e0c25c45023107ca8ab3426c162", "0e22687fe92f765df06495df1462fc632ea240e4", "792f04e729f1a3efa42d40bb9c57cbcb5e6d880c", "419279b5d21234737b10715fd785eeb51b317767", "df51bca592fb045c50a143a6659ea847ee9e34b1", "cc44f1d99b17a049a8186ec04c6a1ecf1906c3c8", "1096445f1185265c56edb1be3bde6ac4e8d91386", "0af9141cdb644ea4eea659ec664d49cd083b9dc7", "ec54daa878d9c58f16bbe3b929dc0c4999bc8ee7", "4e332c2f05872b56f716b72edc25b73145db4b79", "471befc1b5167fcfbf5280aa7f908eff0489c72b", "5ffa98b79702814770fdbe9de150b4420974f399", "cad2bd940e7580490da9cc739e597d029e166504", "f40f8ef004fa18cd79d0a6a49f74b058dcfe49e5", "2c279af53e29eec915cb8643d6d8923504db5635", "9cb3508b6abd62f741b60ad2d79510aeae81175f", "2a92bda6dbd5cce5894f7d370d798c07fa8783f4", "6e6f516ed1ce0089d4f6d113797d711d5997802b", "aa4047d5f2e9e55b97d03aa7e8fb2a3025598a4b", "942dd0a7f975a3400bd6bf37e3a06bb50e70297c", "3b410ae97e4564bc19d6c37bc44ada2dcd608552", "8160b3b5f07deaa104769a2abb7017e9c031f1c1", "0a811063cfd674275f91006d28cb8620c781e817", "43ab8edb5987b64eea3d0b49a3474d8627040aae", "f306c0d24a5eb338b7a577a17d8b35d78716d880", "781d3550f54f3b4bfbd99ca9957aba6d6dec990e", "aa11aa50c5a3cee44d7fb39b1e2732c5699f565f", "389c916c3aadf8688ffe88378ce6f4ce89401bd1", "7b63b4c4be97f3f86f910468b9646226dc04db3e", "feb6e267923868bff6e2108603d00fdfd65251ca", "0e64a202a673ebb9265d600d97c2ccff8acf64c9", "f45a7226b21ee9b438772e4ff69f5b8b679420b5", "a5fd72b3bdda02c1d706167e98d088ffbdfefae4", "c3780c0fd7f6ee82339a974045eebbc9e5b61c75", "0e9ba9ececdcc22275e87d5810822559a7ddf040", "10413ae7de5b234f5bdc5560a168fa2c2964a1c4", "a74251efa970b92925b89eeef50a5e37d9281ad0", "8ba474aa327cd078c2b85f0c1ab752043253016a", "62da5876fbc5b6abe467891fc71b68173e6ad061", "185e88da3d3c0aa104ba14a6bb4f5254aff8e8eb", "0a36fbfbc93a64012e52465eca013e3fbc24a4dd", "fe98261abdca6becefa420c8df8690d704ac7fe9", "4f76b9eb6d27971f65c6a1c6cbef7e8b670688c6", "8dc0635733c8e588e9b7a5ffde0028f2bfde19bd", "3bfc89350284e317f0b08732b3becc733cdc2d53", "38558bd53b5bab485ca4abca35a0401c0c387883", "889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7", "4a06ae9d41b384d6b1954b42a63385310b5d43fc", "e7127ec62360cddb7176cefc826939648db924a8", "ac86220efba082f5e9d55938ba7059dbdce87ca8", "8eabd39cf43596e56f377aa26f985ef20f0aeb4e", "72c32e48a82b2ef2da26c78b4b8c8b4ec888d062", "605f6817018a572797095b83bec7fae7195b2abc", "e0152a4e30f4ce73fd7a3d56f9d796da6dad4bdc", "3f4b8fe5edfac918c1c74317242b2d91346d5fb6", "045011929b571b34e3df439ce67d0764c2578ecf", "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "aeae58c5e326c162fa5b0019e84f867c58dd20a2", "ec286f61f2c530b5628596c0e82ae5b07e7396c2", "5ba51674897afa2a1bc0646fddada7510bd9c0ce", "a6d7cf29f333ea3d2aeac67cde39a73898e270b7", "32f7e436b29e4b6aab5dbeb9425569022aa17afc", "cde7901c0945683d0c677b1bb415786e4f6081e6", "8846a0f238deab5e5a9ff0ad2209899bcb2c1032", "f355e54ca94a2d8bbc598e06e414a876eb62ef99", "5160569ca88171d5fa257582d161e9063c8f898d", "d3b3c82d73fac683aa23533d26240ec92d14352b", "321c8ba38db118d8b02c0ba209be709e6792a2c7", "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "791d46aa9cdd40bc9d82067a2e9b71785c62838b", "2046689ab60fddc0473326c99b33b7f72724b2b6", "ee142d2ad892ac23f27220ee25e0b06656b19861", "5293df3b1543e79f88eea70b8766dc34e1f406e0", "083c9f447032897e7888fec7f1e1abb13bfb283e", "f61fa90e4e60aab8366831d4a8a7bed980b76073", "766728bac030b169fcbc2fbafe24c6e22a58ef3c", "b6c0397fc911e12519655ec1eb1074574ae6f290", "3ed5fc6e27dea4c99b68dd1df3dae127a6bda0d6", "d0ad7324fab174609f26c617869fa328960617e2", "3d75cdc87f193beae8b8526100e6099dd38173bc", "426b6d514dc4fe551b9db85d1139ec9502fd264c", "7462d7e2d9305f936ee262af7634dba93967d77d", "830e5b1043227fe189b3f93619ef4c58868758a7", "3b1f8bf9e41b29d38968144ae9b2ae13a9bde731", "c65d7b7c111b1e6303b460ebd484c81537ecae80", "90ae02da16b750a9fd43f8a38440f848309c2fe0", "87f723a8cd56e4e7fdccb8f26eb75a258835ec18", "e379e73e11868abb1728c3acdc77e2c51673eb0d", "f21a8e372fa12d87fec77d3297afe1e566e229a7", "7cf95b9923e741eed2c7988d7321fa1044415d57", "49570b41bd9574bd9c600e24b269d945c645b7bd", "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "d2b2dbe9b13c6885ac67a96bb42e4286f454ad06", "3e21d98b202d01cd1430f11a686c8ced2d1c448e", "23f78d48bb75df464e1118836d23ee1b2474854e", "19483e421717025e0a51501a85db48186d0a2e2a", "ff03823829265f4ff269bfc5517625e4e3584dc7", "6215c5713adeacbb33b9d1c4c739f2b0b50dd17f", "0f5379a3c80037be64570b6481399ea6e2db41a9", "eacc648388f577c95792f6090eba43ef5a85a47c", "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "ec71f5e5cfeeaa41bc884937aeea3043d7a0da02", "38192a0f9261d9727b119e294a65f2e25f72d7e6", "9048732c8591a92a1f4f589b520a733f07578f80", "bd12395d9cac597e9579f9ea5be06bd687de3989", "61183c50509f7ad284ae52ef4768aced2af3d260", "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "54bac87151febb2e9eecf237d6498f8ed8ac3b1e", "169927e68301d881da6585dd09e1bc9a88adf147", "9cb916aa3672a8071d2d77931ed221f4f98138f2", "a32fc1edb2d23d117f47d86f79ac88c9dc3a45b1", "697afaded9d96fece5e5693c80085a3f099ddc64", "8f5ce25e6e1047e1bf5b782d045e1dac29ca747e", "8b03a6ad5ca06f35f65e37df0c6da32c6dd59586", "4e841ea04bc2aa13415b6f7e4b88511f9613a189", "4e6d820c59c4a8f921e60cf78dc657d2a4ff6cac", "5ad12fbaf3af81765a3201d138c0cec4eb68d542", "cd54941cc46656005d31b1b24e3a002a7acd5b3f", "45deb9d034e5c99de0e36e4c2a9a4f4277d1497f", "916318d7fb755b13de566a8a21625d47541d0d3d", "fd4c46bfd3bb00ed93b0bb5b28ef0336f59f0c15", "8495e36177e556f9f9de729952d1b6aabb4f2e2b", "b4e0e4e8b92067ac4d31961832ce30543cffff0a", "2306b2a8fba28539306052764a77a0d0f5d1236a", "d119734d8b140aa22efa571fb22d29ac92452666", "e3f2e09894e49b2d0134cebd07d1f2fcbb22d97e", "61c76ac08113e3f732e65a3593471c3e94ddda7b", "b13a882e6168afc4058fe14cc075c7e41434f43e", "bc9003ad368cb79d8a8ac2ad025718da5ea36bc4", "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "501096cca4d0b3d1ef407844642e39cd2ff86b37", "ad57f26968b7a33324d83f0f44b773eedc7283a3", "7f65992a8e140167fb5fbb9bb2a95a035546fb76", "7bbd9c7fc4191022f48bd1bbd354fa957835943f", "91e507d2d8375bf474f6ffa87788aa3e742333ce", "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "28a95825874fd194fc4411515aeaee4120ec57be", "bf86c65a4a3d81ca422600fdbc5d31eb56e098b9", "2feea7d50b312a6c07673fda325838139b2e7820", "a5bf83f99f71e3840f651fbeef9f334d8e75fd75", "ebac4bc69488d0339b0f1be55d79d3b2520e082a", "1c4b225cfad24c0d83fd92064e47287372c99cb6", "d5f12d8f91c6604711a958764aa942f443229c83", "34b14ae503f4555d0254fc78ceb01be09ec439e3", "1188a35475cda119158744c838c45f827429cdfe", "6e9de9c3af3258dd18142e9bef2977b7ce153bd5", "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "16bd796687ca17ac7ca28d28d856b324186628ba", "5bccc4ab12c570ae1b6e5ed89c4867d958961a7d", "1b60b8e70859d5c85ac90510b370b501c5728620", "f683533c105ab71a2ce73e18b7e13907a923f739", "1d532ab4315b48af710c0dcd0ccc2a8bb2984cb4", "6ad55e57d248cdc9292644c64771573ff39b602e", "56a4834972eaafa94d4037483704638a4314e516", "d3b751f284a1b92c7715ee6a3204f17f485516aa", "6e95e9fdc73d75017dbe32a13a868d0942d5c9c3", "07e6d293498c4f9048ee5a67ad32ca42d6af9b51", "44787df6079918c6c4bf3dc871e2cad5a62c0e58", "ac11eb3a87358f623bb0dbb81de141c00e1112e1", "ade4f9273d1e360fa47d188536fdf7d3f965a72a", "496ffc24230b23af2d00b3adf4907de112eb422f", "768c332650a44dee02f3d1d2be1debfa90a3946c", "86c053c162c08bc3fe093cc10398b9e64367a100", "b87b0fa1ac0aad0ca563844daecaeecb2df8debf", "9b5b2fd938a9337475cb90a143cf7568f8f63709", "0e69c4f189db8a5e2a65031035c88bee2fc04221", "67e78de58956aac781f3311a6499f665e810421d", "f0075b258d5ad3a332a59a5aca5852606b80c420", "52f60abde42428d4aa8c5824a749398a1aa73be8", "a4a56ba73a3412ec2934bc85c7e3c555612077d9", "90ad0daa279c3e30b360f9fe9371293d68f4cebf", "a7ef068d80056451e26fab2415c140cc4ad212a0", "5e9e72a4e856e38e4ae4f7625db7415a6d843912", "2788ffd2bee39a8610a132ab0533aad083a0a701", "978051446fe6899a538153aef3ece0d5ce590278", "dbd5e9691cab2c515b50dda3d0832bea6eef79f2", "422c21a3ebf43fe0ddd62d052bde00c004339ce4", "bc955487a0b8d2fae3f2f44320389a12ae28f0f5", "28312c3a47c1be3a67365700744d3d6665b86f22", "055cd8173536031e189628c879a2acad6cf2a5d0", "122b1f9d6ff910f4162ff13f827a4cc03e5c33b5", "4346f73ecbaf688cccc7d694d92a9a2c512c6786", "09ef369754fccb530e658b8331c405867c0d45a6", "3802c97f925cb03bac91d9db13d8b777dfd29dcc", "4afa204c986c5c6ea7923902ee858afdf14d7758", "04a20f9513a93f034e3aac7a415b537c27c05695", "5c820e47981d21c9dddde8d2f8020146e600368f", "8fbe68810cbc53521395829620060cf9558231cc", "82a73fb987d94d57e2004345137a212f3de9ab5b", "4d1d5dbfccb2219c547afa347148cfc372c4d998", "01bd864085b7ba7c9c85c593bd893a5cbb13b136", "354388347ef59192c04bc36a3693748d7377a334", "d968dcc086683ed597ad06313710e6717a157eda", "86383365b3912be9ba0983401fa1b1d359679db3", "3f5f07c9ea779626af24134c83dd1020a4d10e48", "ddd9b3067ad132b07a0b95fbcfa43c5a38ed7a48", "1745243fd21b29895ad9f21c4084dd24b10c39e2", "df7e3f5cb90230f6bed1473c4984f336b56615c8", "acb9bb0e2046d63bee5289cbfac254dd1d7aa6f9", "f201baf618574108bcee50e9a8b65f5174d832ee", "94f55752c68351ced0a50c7953bae9dd1b9044e9", "27c59f06bc62ea85e828228c1bb359e06f9232d8", "2ad0f376c0014e0c3000e7bb92df78d1d20d815a", "debbf2f0f9ae128e40e962bef5096adacd1cb264", "42f66e1639b5b80318f68dc31ebc404b1153432c", "13e6fe2049d0089da6fc1ccf6175da6945a47fb5", "b069e125442995787119db3bfa71dff5d965f3aa", "23d7833d63ed3e416bbb237ea39f751bc9bfb703", "909ba012227159e7a2c0e9b01db7a95dd07fa85b", "ded2eaddaf214e63aae6be34f4f319df0a10c13e", "2a4f3536cd21fb7193662faef2612384f429c6a7", "92b9c19da2c144257617e39bc8ace7293e710914", "bb34bcf28021a658ce89d65d229df76d4dc620c6", "a481de6e9a7303784a7492ede7a7f055be7bc831", "f38afa91e8d0dd939ff48e679d28f2ac640b4437", "780c7e3226635c948aa2b2414833dabab3e6c0ea", "08c6191e9a354090708c4939f5e9c96905ac52f3", "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "70a69569ba61f3585cd90c70ca5832e838fa1584", "ceeb67bf53ffab1395c36f1141b516f893bada27", "356da8ca86142f1ff275f02e05a8e056ed1f5a68", "5f71adb3df33e1dac408e1c211043aa95e75988c", "4e082299ae5b9808956dbd52c94e36da5820aa04", "71b07c537a9e188b850192131bfe31ef206a39a0", "c89064dae544838fb4e71f64f140d886fe0bb2ad", "4e667fdb69511446673fab3c5993d913a928ec70", "89d967cb778cc99ff9b3f3e26257b0636f522af1", "b7d7e0d985e1a421fa4b6ed2a432d6375d003d94", "8376287a7f2401a36295aad094fd85e966df5dc4", "91f5ee7eb4d67d5b40ac8e8ff8145d7eabe35fb6", "67f4eabd4f0771e2e50a0ec031db64cd9083e3f8", "3cc3e01ac1369a0d1aa88fedda61d3c99a98b890", "294266f46011bd5ecb4f0e0189e089eb9723ca2d", "ebc2a3e8a510c625353637e8e8f07bd34410228f", "1c628956dd149ce177aa420cdf89c51e37ab8517", "3e8740ae6a065c5d85c901672c7a0a34d20739a3", "9ac365dc78c13c2fa94858b056427de2093407ab", "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "ce243a52ee123128c387aaf8fa12fa8cfe2dcb96", "9e65402d1e5efae1aba9461a9463b114a8bc6b49", "86104c6156661bca20224c2f3b37133ccb4b1f74", "275cc2085f90866d74d6531489cfee67a8f48cc5", "8a3f109222afbc83810cfa952fe68e33da6acd91", "1946fe5894daf21255af3c1235eb15a38a349a07", "0d5d0d4553e7049fe485a87013710c838adfb8b0", "980f57473495b1a2d6bf2506a01bf0a5fb136ca5", "2485c98aa44131d1a2f7d1355b1e372f2bb148ad", "d39eddd5305cfbdf9a143fbe3c4274ef08895e57", "084bd02d171e36458f108f07265386f22b34a1ae", "ef65fabfaa6b3c617f3f6506eb484ab8977c9db2", "6c653fcc80c83c87f710588bec039da3c7bfd219", "df80fed59ffdf751a20af317f265848fe6bfb9c9", "149c21e5f1c52429fb1585d30b50bc850a16edcd", "aad38eb0800c535ec87eabc2f3904e04cb16ac3f", "26aea7a383546ce3195aa5884ec5dca69203e313", "b033a4a543cfbd6a1032ed2f0b109a4327124d2f", "74368040bdd21380365963baab6a83da6c5cff81", "b8d361d45f6fe4d8dc6129d205b0ae8c8e615939", "ae922364835393d0fd471c365b2eb025f28cf701", "ea927bb1f3b0564dab8b94df94134aaf405671f9", "df1b3b429b97b34df4ee8a11c921ced410cd5372", "a05d26ea50e7bf9637c4a101a1bdd5a231da9e03", "c08a826913a25792d0221cc419daf8f47ebbdf9a", "d838d9b1e3515956e8583e9fba987dd3515e9e95", "1a3c4a57b4ee90365fb714a24672c97083fc44d5", "1ae321e1e6a24565b0bbb86c159a142b2d56e27a", "f6f2df3c4dd5fdee439eab3ea7f9ff30d70e05cd", "d79c4436d7260ded9f11d659606724244470ac24", "01fecf4553132a5252b6bf6d264f68568a8dbf6e", "12cb66f687e0f0a79c995c0aa08ff855ef1c4ed0", "70f0f0ad8fcf45538bbb49dd339e16ba3a0033e0", "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "00eafcf56c556983edd5f0dec76561e6e23aded0", "567e31a823669fe728d6e428a069991e508a2730", "8b9b20234fa0bf4184c9acf29d5bed0714aa16db", "71406b7358812400d0626e8d62e7eb38cea99bbe", "320d6e79fa184dcf24c30232ab762d29f7e3d9c6", "5c3428d5c47e613fb394f2ffbd9668aa82e9e035", "0068fb32720da464072ac9aaeba539c6db746986", "65b9c71a4e5886e3ec8ff1f26038c3c08bd96dcb", "75a050e55ef1f6753da6e2e26d30e074992d2b28", "716c649a14d8f3908e0fb5535f80d70c57c4239a", "64667791c1237d73e01103f0ea636b5fc7deba13", "ce3af5ccd47704252b2ec6bf4588c08b4435d32b", "9c2739256937fbe66c5b5ce2a23d2d47b48aa4aa", "076f3c0b688f5ccc4ab610233ea1d5005b69e204", "690ef94605f63fd0094beff056521b117430ee6c", "81a8b2e55bcea9d9b26e67fcbb5a30ca8a8defc3", "152a7ca3a93d41c78ccb50687d8277e9a9247e26", "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "2bb6ab1cb16edea5c71174f8e277d001c0084b58", "b8a53daa97fb917a89c351c47f0b197573e20023", "9e837df910b7795db3f5eecb305aeae1f2711f0f", "0c359d0d674599203c53f55dde73d511de21e580", "253f7ed4100c702dbee05a005a5f1745fb08bf52", "526524aef873f9be406b936585f4849e0d34f3a1", "9a9702372e243c5330d6e61d345d9e6f14e0148f", "91303efc57f2241b6aaee7ae86c4be60a7bad7f8", "eaa0433abe4601aefe865a82119b4491e3618a61", "e5517a6e5094c159f4982c3b88174b8ae10c268a", "38ddeb190590b5758eb03924917a5874dbbd3731", "f308e00f4fa0f0a995a82e9b825ebcfa3ba0d9f1", "c57ad1ff22d92f71019d638300bd06eb8637b86a", "71139c4a7fab64aa84a7ba704d567627819bff13", "26979d90b947bc3ba458a3aa0b58a8b85d2ad52b", "7238e8f34c662af74b81de80fa6c01838a06b349", "6953d1ec1908fdabdb33b16a6acbc211cc31d6fb", "0e8f529458db2fbede1274758f4651580ef5fda4", "d8c18a88d1a347816b03acf7456fdd16ed54003e", "658eb1fd14808d10e0f4fee99c5506a1bb0e351a", "e387db84cd31f14e468bb329ac008a80e645400e", "48c474ab86920c70d0a404a80d68096a8fa9723f", "34b4f264578fc674dd2bf8d478ec1314739a5629", "67ec24bf3d227ef11845db4743d3da7f3a5a8f5b", "7348ef42b65f308faff0c2cce10d366dfb3ff35e", "b3208346d45215e63d854a28ab61d39a0eb1ee21", "30fd1363fa14965e3ab48a7d6235e4b3516c1da1", "157d2c6dd8c9999b251099ef4211cff8030ae486", "9631ea02e40b3cdb555a38953432c8584bff6458", "383a9bf5fc7ce9ca9e454a7e044ff0af4495b8da", "d510ed87dff0ac430974a44ccd4ef7cf265b0c56", "4f680611a200c0bea548b3d8f1c29001a63bb544", "980fb221bd7b95929ae5557a5c4f23c6eb5799ef", "17c4488f345f773624652804717610c95c503b1f", "b74c410ea8db3babb9a307d1fb8f08b90ce8b490", "02da0cab1152eb1c43266687ebff8389c2d6b27b", "50a2ba70d42f6543b26444695459d0bac38a4ab3", "36e45fcef15e31af0f05b6b6d4e93d79e62e50e6", "d4fc6cdde848daa54a7daa5eaf283d6ea09f4aa9", "88726ee727d38c7a101f79412ff1cfc9b0e35f04", "6b0b4df3223315553c1b1d911fbe846681ab56c4", "36231ced34602aea79cb19ee3e532cd568570e80", "71264160f7a7d671162f77c62196ce4f7001afa9", "28c24f16e20c83c747f2aca8232f2cb6614905f5", "89cabb60aa369486a1ebe586dbe09e3557615ef8", "a929f59a71e0c568edca21a9aaa0101f494b61e3", "db157b6a9733fc50086bd8bd197c7d995f5d13ce", "7ca37d66cbedf61d30e18e0608078c7b1d7cbf58", "4a5014c23e2adb640f4b07b9b47ca2f2a5d427e6", "6a57b2258c2263af18b65e8a8542b87fb921eff0", "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "aa766115e8bd91a05cb8fdded5ae036c9b03c7d3", "1dc496702d705deb8f1ee19e9575fd8e6d14595c", "dd1a85e4c2ab2ed241af0e8d6e588498597abc8d", "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "6976326c1b8706cd93620560e46dd7d3d7c15d26", "2c37792e0cbe4363caff54be87aaf080d21adfc6", "f6066a3428a60904b39dccfd4cb7ec522b4a69f4", "1a8f35982e77409931463342d3955ff63b73d3b6", "6163381244823241373f6741a282f2c4a868b59c", "7d7255ff50b9e7e4ace61b9ca883704f43298595", "d6cf3cab269877c58a16be011b74e07838d957c2", "3d867aedece02f3110d88623d4a48875d1833084", "4275ef99c717c5dedd88f2e0b578df5216da2183", "f3745aa4a723d791d3a04ddf7a5546e411226459", "0645134e885259c7ddc97bd1136b009051444061", "6ba03818cb3e54b42233718163ae09cd0e12a2f0", "2a4153655ad1169d482e22c468d67f3bc2c49f12", "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "1dc0756f1a58d0ae8beff58d7ddf8fd5dc6d174e", "24f0881a6444ca85ac99882a32c8efee5e2a1acb", "d2f254780699bafff02eafc92e00822ee597c864", "550289407a642e81e1ef9dc0476117ed7816e9b5", "a11600deb182677f4fe586fcea59f10d032a6c6f", "02e39f23e08c2cb24d188bf0ca34141f3cc72d47", "628b7dbf216aba008b9ef74a411b87a99e7a3106", "3bc376f29bc169279105d33f59642568de36f17f", "0c0b33baf60c787b3361a2671ae9aa077545b845", "0867f64fbee671ee2f93e99f28ce79761272b332", "806ea38703fbb421612e50286760e36226f2d2f7", "2a08cab207fcdd333710294b3480ad25b743e8ca", "944e0d37937f799b70a206628d22ceca52feed3b", "4ab3f2b81588805d12158eb3ca2be72e67d98218", "5ca23ceb0636dfc34c114d4af7276a588e0e8dac", "7ddd2eb46fcc7cb36974b5d105e84071c3e40572", "d9fd1383fcfd164b0b826e947fe2716b82d2964b", "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "78133d47c333109ac8f87774603bbc87ffdef0c2", "1d926403bb2f9f4883abda8ef60da547dd35ae97", "e6e57ea0c50fff5a0429d045eccc2a46955a412f", "af11769a427eb8daa8435b1ea3252531b4275db8", "b028e74cbbba184e2ae01f10290961ddd1d09b9b", "e1e1ae77cf37855ddc3493ac240551c28cfc5f7e", "176bc3f528d3d87a7543e377f9b7e4c04b5a9408", "19533bdfa47c2b770b3301cc921e5d5e7dc505ec", "15ef120b8c0bf154f0c78e547d91dcef9e13a857", "89f4bcbfeb29966ab969682eae235066a89fc151", "4c078c2919c7bdc26ca2238fa1a79e0331898b56", "740f744c93dfcc4788408c9054875872b518c11b", "d7688956dd79708b18b497117da2f0398c106493", "9854145f2f64d52aac23c0301f4bb6657e32e562", "a84ff30b8110561dc1c584e55ba56a991941b3bf", "a8a46c299128ac1823c484337e440bb11abd8c41", "4b4b639c7c6bda36be90aaa073bc77b7f288a3c9", "6c4e173fdafa89ac7b40e1dddf953dcc833db92d", "bb55301662e6bf9933b5ecd5c3602b4298c9b14d", "939cd1da477fb04ffbe95b20d0ebe0853cb86025", "43c76cf17767a43a345cd1a8d7c08d18578b53ec", "3bfb3db230b429423dcbdc623ac55b63d038bba8", "00f5c0ad23a9d7c312a316d2a8c6539aadfc95aa", "22c89775cb5309eae5ac1f9ce9d1c2d569439492", "afa004a8daaa7fc093a798bf97babdb00273e1a0", "6ba23d8ac627ea8064b69e6d8208323c37702cee", "e2b0e74bfaa0ba299a2da2e9204edcb10e481f04", "a710e7cc61069fd7b622534510d5409203e2f59a", "6ad929e6a1d916cfb4552cc3b13430c9029fdf1c", "57f5711ca7ee5c7110b7d6d12c611d27af37875f", "d49d740ba5298ead14a7e9b146ba5b706376ce79", "515039d9a2e102cdd4d0fce68052e35e70a32231", "2dd6c988b279d89ab5fb5155baba65ce4ce53c1e", "330a34b8dfb3f6adaf6401c3ececf9f4127505a0", "4a6a59470fc27f8860a094c6cd90ef220ddc760a", "8df066237322cc5f3bcdccad3a752daadf128c56", "0d14261e69a4ad4140ce17c1d1cea76af6546056", "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "1cc19cee80108891ea79c0f9de9622ff7a369538", "77cb6ea4feff6f44e9977cc7572185d24e48ce40", "f3c60536cf7a397c9df6bca549824841a6d7598c", "1f6148e538bceea5d8829c868d4cd3a3bbcac244", "dcdffbdf4c7c7c575e7c46a5faa3fc4c8aa9e0d7", "c1b71c339e4a4f88e0eb90342f10c7ed3fb8f5da", "158eff6ccf0985777ed1160ee8ddd0145b44a0de", "36e4578e29adacc5b44edd3bf9f2a77561b0f2e0", "17127e17c00dda8d5cbad6ad126a5509ead8b284", "060f67c8a0de8fee9c1732b63ab40627993f93d0", "07030399a287cef2e45779b50a27409e45571c62", "dbb7f37fb9b41d1aa862aaf2d2e721a470fd2c57", "b59f9b8081d949175bb16ce59c5ac1bb991d3675", "46afb66cc7a7c6c49b1b5fc6dd1e111fdb4d3e4a", "9ea4aa41fa9e6d19e00bf612699fbc13ba4be576", "0d52f1ae438a395fadebf04990d0d1750cdd0218", "cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd", "ad109cfebcb512ce83b0a6b2fe640466ccb8a1d9", "6017b19c4c0e6c0e5b32e54efda6eff78b69d1dd", "f3002f126f7da75f838637cc314b5f8adc09da53", "8c8a41ca36fb903854c1fbb551e7c2fe49740c5f", "0ab1fa904323c440ec6e185e2d607ccc45225df6", "dd80f3d19a4e3de9e9ef6dc3d23d52852a2ec23c", "05b8673d810fadf888c62b7e6c7185355ffa4121", "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "0aad0a248f6d153f84e2d623042d77e5442693d3", "2f88bf279a66bb519dd5a3f3ed975c7747f9a9d5", "7b15b2ec4ed2b92bfcf2c736c1149d0eccb66de9", "dab6921a578c9ded6904a5a18bdd054aee62d2ad", "d818568838433a6d6831adde49a58cef05e0c89f", "23a450a075d752f1ec2b1e5e225de13d3bc37636", "c751a00dd5357e2e390e5af2626b5fbb6223ea1c", "2fd9ecb40df6c7cd4f27c047223a1e45aae1bb95", "e47fa7ddafd29a93859f6c6d5b05890888b9794f", "35197862aed9a73415bdaea2fb8ad29d66675604", "6c3cb94507de2ed41c0673e7ef669f1b9e495e48", "395978c1dee9fd75bbcb249e74ad6fb4d3c2b9fc", "2badc21fc72730f3ae540ba2d20051d31c4a62bc", "e6a831679964aa1134a2d3c042eb0d2df779c64b", "56b506a95cb63afd1e359babe1fdf3f0138ff7a4", "12c51ef3dfcc3595e9c2f99c374bfa143e296f38", "290136947fd44879d914085ee51d8a4f433765fa", "3c5935ae10077287251c866d3ddac13768e90955", "87398a6e62abb71f516142be2ab88914cd081d33", "9f44ab28e5d4b7b9b63908e912582d20e0f1fa29", "6cf222f7c9ac4b48d95db4a62742c8329fcbd8b6", "b1451fd77efd4f9cb1edbbfd45516205c6457aff", "126b045d5899f7ff4feab858cf95d7cc3c8004c6", "2c7b72d0b66074bff2f0b3493673a51f6f094d5f", "8916b33540de19d7fd138b91cc2d38d9fdb049c9", "a3698c7f280c21779e3b117eec43cae7cdf2ca3a", "645f195e7c301c0bd4821ff9440529c28a58ba74", "17255cf67d05f9f46f9bf7add35a950c36ccf920", "71e942e05f73b163a7ec814a85ff4131cb48f650", "91e58c39608c6eb97b314b0c581ddaf7daac075e", "09571f48442518722b9b6412f2bb4be5faf19d7a", "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "f7ee4901843cf85ed80625a1a2d7e2543e015c19", "0ccc19a924ffbd56c055db22bf88b96bea73aca2", "ec90d333588421764dff55658a73bbd3ea3016d2", "a23bd099a4539a04feb9b4d57668511e62ee53ce", "0b440695c822a8e35184fb2f60dcdaa8a6de84ae", "142f319dd7437c33429a6932390006b69fd7bc50", "aae0e417bbfba701a1183d3d92cc7ad550ee59c3", "9499b8367a84fccb3651a95e4391d6e17fd92ec5", "04afeae3eb05f7be342476ebf241108f200070a4", "ade5f68891c000a434ab48d348695d3c49b8d6be", "438e7999c937b94f0f6384dbeaa3febff6d283b6", "16820ccfb626dcdc893cc7735784aed9f63cbb70", "65dadb2128c8720e9d23160058935a6eb459f7ba", "aa643738532a593e739b5468ddff7ebd4c371b47", "6520367a3ff4f863a95e0d34eda54cd4903f557c", "25cb142df18df30c416f5f41170d6b8c7ab2b957", "021a19e240f0ae0554eff814e838e1e396be6572", "9e92d847ba169146ceb8b3b7cfdc47925e5a53e9", "3a56ca792284c14e41efd360eafdcbe39c5e73bd", "1d585d2a5a57549e734f1b6f77ebcf4377730aab", "8dbe79830713925affc48d0afa04ed567c54724b", "440f1a472b245ba05405b05072c6a622a352ec60", "20da3ec27d221973c681ed8713f3e00ff10fef6b", "10f66f6550d74b817a3fdcef7fdeba13ccdba51c", "260126c4fa2c0be6006335527eaaa58cec711be6", "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "8205d8ca2739f701c1e79490fb1daf4d1f0c356b", "3d62b2f9cef997fc37099305dabff356d39ed477", "6a0e35c2ee573ab62157c599dc92bd05cc511b4d", "6bc71c846863f4bd990d8c68c2763a298d2d30c7", "4a6b1c6900ec3cc48f9a1061a97cb53f6d5f9aaf", "f121154f0a7625fbb1613bd4cc2e705f9de8fd0c", "93a93ee535980ee30e3a5e473a37d89ecb20c4a7", "596f107c1af0d46ac976cf6ca52b8c3b4721564b", "4ebba791d33d10f694c62c762c15ed581d83c857", "d8ef79377ee77ad3b21315072f092db02ce23287", "7af15295224c3ad69d56f17ff635763dd008a8a4", "a3c210e73d827e8a7ea78c91d620af249164b4ae", "9aade3d26996ce7ef6d657130464504b8d812534", "fc063670d362a89232f18336081791897ea505eb", "d869044ad4f8032789781c350059f7b41395bb21", "39ad6ce5f67c76fc1488ce6a31ebdf229b3f34df", "cd5d1e54ed6b97550c7871050d512f21aae27f9d", "c6b81fdcbb7623f92fc4e77cc4fae63c1c2f5fbe", "1a2564592edc25a56637ffc1381c875dd9e7c6cf", "76dff7008d9b8bf44ec5348f294d5518877c6182", "e3b69f122f97a6261bef1afabd7e7b13d778797c", "fdd719ba2495802699b7ba827768ef62109c33f8", "1306ccfec94a36b94085d4cc71fed45abd998b0e", "6774a2f9c88ea8db244d62282229127e83761758", "18cd79f3c93b74d856bff6da92bfc87be1109f80", "e86008f6aebd0ab26bdb69d2549b2e8454b8959c", "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "0e015d0f2cf917c2b8ac4cccc588d67ccbd51c2d", "b37589b5e07659af82da1c859052f3998a40bf62", "70fa17afd5a2f5953032ed1ecb66ca0c3e11b150", "e82a0976db908e6f074b926f58223ac685533c65", "e811550cc83a3650bee8764d5fab4bd26109ee73", "6ff8a87d91c9765609e3c12ee101a9ed82718d26", "37cf5f0d62f064d05239dfd62e768631eafeca08", "79d8551dbe25b0e979ce0034f0721b3bb5f30859", "fdfb82f654e03c4d884713278077cc66e42afe41", "53dbc015e9fb7bd0ecd54c4b6f238467edcff5e3", "12e0695c9ae037c65dfdfe80b0f2ef1246d4b104", "22a23238d5c1f12e192140c1a8d84c0800b1a49a", "098f2320b3cb65ba000201261a813cef96d84842", "ba4e88481e2f211d22254c7d0563d3779b584cb3", "9cf27016cb78509c11eabc0b07c5b92b2cefbdf0", "01c9f0be6a300f385274b72a5463a650e51e300a", "3e4bd583795875c6550026fc02fb111daee763b4", "648d326990ed78d2160139c1ab307a7b3e44b1bb", "d3e980c3f88b98ccde525f2ddcc8df3abca1ca01", "8c63bf3b7b35d4ba6309cf19a181f6aaf8b83435", "810d60ff5c0106de53a48fa2731eacf5ca2377b6", "e2c79f6e4afc691ed6a72b83298e6ecbfe13e0f4", "433a7ee7c30a4d0b7035a1bace3b8ffc9229791b", "c099a6dc8b9f731bbc9a29a920233257c13d9b00", "cc589c499dcf323fe4a143bbef0074c3e31f9b60", "a3d836f601c9c462cddaf1c7175246617dd8f3af", "a7a3ec1128f920066c25cb86fbc33445ce613919", "2cfe4d55590e2db3c18d5693d8b9db4538921260", "4998462014c907c519ae801af39cf58a4c538bc9", "82bb3bb057b6986c02f7a177c98b8fa2594a8eb8", "a9571ef995ea7a9379b1499de1759fed938933ac", "15dea987f66386be14b7811f1f27784f3ed9e9c0", "2306aff6dea3c9d5caaae973c51cc9308c8af620", "5b3eee498ba40423536c3ca487f7ac10d94092d2", "995b2868326837cde96e01390f87b2dee6239bdb", "8aa85d2f81d7496cf7105ee0a3785f140ddaa367", "e18d09be7d1d347258d7d0ae85526416c5389cbc", "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "33e94daa8d5e1e6969f28503a12181bd022d8df6", "ad9d1fb6d39f2c42f9070032c2f8a4a4da1c7128", "653b957d4c70d6cbf8de443df497e47edcab77b4", "f5af4e9086b0c3aee942cb93ece5820bdc9c9748", "d6b9c04bc7a1d410d3fc07e04113c7109429174b", "24caf5d977e840edc39177f35011d9bd969e51d4", "4fdeb5d59b218ecba0f72dc3c42f38a086417c0f", "75a7a42af98c20740050d459109b8c4c8ab18128", "50e9e9d27132654c85427e4940dd1d40e8652434", "4419215162eb6ec20206fb70f6890c5286ced188", "d37bac011f93e8eee3b71efd2ea727d35bd3348f", "ca26e9329459c6bd0122da7dc6339301952c1a3f", "11cc0774365b0cc0d3fa1313bef3d32c345507b1", "a92147bed9c17c311c6081beb0ef4c3165b6268e", "b0502dcc6df378ee3ddeefeeb1cc51a20e04f39b", "699aa8b9b05f746b913bf86efdfa3bcab372f3e1", "4f3656da4cbd1979a5fa763f90defa1f90d53583", "709fd53f07bd522358ab23cc2c4da91266d8877a", "45052b4bad0ca9a51e3f00ce50ed8495595af681", "c3c77b0cb3dfeef0687cdc0487f3d1a9422cb082", "1f62e53a7346425fd33c98d59718807daff965eb", "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "54df4b428f1f07331e9711e8c029375224abac18", "d9c665bad8ba68e8ef9537a86346f2942d78b84d", "0c955c18b1d815f5ae69450db760f658a8647ce1", "b3f07763288c67d9f08b4a2180e06c0468856629", "49c5062e5b73a654fec16ab755d44fe4877536a1", "9c6d92f3d796242332ebf419a4f9b584864cfa15", "4f8a2ea5eb6dec4aa687a29b0721a8d0db52c695", "721c52dba4450c7f5a5128517eb0f48f5bcc1119", "9caacc6001c25ebef373f3cd1746d20450c9480c", "2f3884bc41c15fc9771a298c25ce45b0b5596edd", "5236d6d60cdc0fbdb3caf78bccecca5d92b3d67f", "6890f210cdc574caa89fa94933ec942360aa1e0c", "2ff37f7e00c624066f596b71ca3331171d0f66d1", "570e6e7e2589bb9c7327c6a08aa3b9f36f8a3788", "e322591ea32a5fd9fa7a874ce0d49e1174aa3912", "9188bf095e701e8dcd17205441048b9c884ff309", "439ec47725ae4a3660e509d32828599a495559bf", "cbef6ee44bb87f54d80ea2ca7d1266bc624d9d07", "355cf0799bba51f324f1e8370327e51cd5b358d8", "311c4d091e358bb491098b7d95d265676a66a2f5", "1037664753b281543ce300fed0852a64d24334ba", "fbb37d4700fa54468a1b86d9e0d4fa77a0f53195", "0ecc1e3234035bad7ef53293546a8bcaed99da04", "4b86e711658003a600666d3ccfa4a9905463df1c", "a72f4c3ec0699675e3050900a98434402b221b16", "5c9407da2525a9f71be4bc01b2e72a877ee800ea", "d103df0381582003c7a8930b68047b4f26d9b613", "ab7bcbaa9e77d35634302b021d47e7889628a88d", "c58ece1a3fa23608f022e424ec5a93cddda31308", "5ce0309a124ec78a6b55de0b564ae13bff8c1dbc", "b5d222b3105cf0d9c744efa3763b6718a5dfdbb3", "a8e7561ada380f2f50211c67fc45c3b3dea96bdb", "7ff42ee09c9b1a508080837a3dc2ea780a1a839b", "53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4", "c9876861cc0e33fffe8c3ce7484ae27d3b2eeb75", "17d25eeb711f15067c40ee662030af467181263f", "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "573b687ad970e1931debbf366004c0983de28718", "a4431f94df13f3cc68630ca82fb5487f1cbf4be0", "a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43", "8af9f7c920a87acb3ae127756f498a51b535790a", "ed82b95790b3854f28d2161320bea8aac158d2af", "e541dca453879907b22b766e8751e1a39c316756", "2594a77a3f0dd5073f79ba620e2f287804cec630", "94f725918586d4414437322af5b33dc1b45c0c64", "7f03d628f3371c44a1248962dcb3740fb8573fd0", "498fd231d7983433dac37f3c97fb1eafcf065268", "ea8fa68b74ffefbe79a3576d7e4ae4365a1346ff", "84b2a852ba953051ef7edf6bc2e1db30b9e81082", "2cbb2c7c0f3f78574b5e8cf197774d5b556b1202", "df096e221cc92c481d34443f4788c96ee412b189", "ca60d007af691558de377cab5e865b5373d80a44", "faabc70615649169b559403d7f15d45fca537cbd", "a9fb62cc0ef607d36305b0e39741db7891678c1f", "1e0bbd854f201c0cb965da4356d70dde232b5bc9", "a4543226f6592786e9c38752440d9659993d3cb3", "1ef1f33c48bc159881c5c8536cbbd533d31b0e9a", "475e16577be1bfc0dd1f74f67bb651abd6d63524", "b87abdb1b11b6b2dce1749bdd0b396796da7e7a6", "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "4f618cbf19917ce5b8703adbc14e15b0bf0d35cc", "734083b72b707dd2293ef2791f01506dec9f8a99", "c0264118ec190cbe17503c7b4099905b1508d396", "322a4a915a77f05936a66b3a010e569243c9bb3f", "0bd7c720e64a3c6e82f5fbe2a0183a2055e0d8bb", "bc249c9be803af3d4a5a6de495e1c85578fce84b", "c52cebeb90539ef424c35ea37ab004ca4bf09a9f", "3a1c40eced07d59a3ea7acda94fa833c493909c1", "fb4d1028bceba7ea676e6d7a6e767ecddd841985", "aed124c053b9c510487d68e0faf32aff2a84c3b5", "d660abfbe5f84c1c49f1e7174eb166b8b23e53c4", "4ae67bec2fa4f5774215634c66bb67619a54e677", "51670395402625f1b1ac42df471e6e3fe27865ce", "2354bb91a72b7667a03c68ea74ede7a5c90b3afc", "90f6f13e402454a964f6c5707b91dd2e13f3a9c9", "2f29b13fcf7a92a3cc438014068f11f9e45d62be", "140c95e53c619eac594d70f6369f518adfea12ef", "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "1aac36122c07ecccfd59d912c22865801f096190", "a3201e955d6607d383332f3a12a7befa08c5a18c", "5bcfeb4d3730b541218aee4ba77919a636971443", "ddf099f0e0631da4a6396a17829160301796151c", "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "b4338267e825a4cd057365abf49217e1c76bb5f9", "02467703b6e087799e04e321bea3a4c354c5487d", "8da32ff9e3759dc236878ac240728b344555e4e9", "71ca8b6e84c17b3e68f980bfb8cddc837100f8bf", "4b605e6a9362485bfe69950432fa1f896e7d19bf", "9865fe20df8fe11717d92b5ea63469f59cf1635a", "44078d0daed8b13114cffb15b368acc467f96351", "75249ebb85b74e8932496272f38af274fbcfd696", "5865b6d83ba6dbbf9167f1481e9339c2ef1d1f6b", "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "9286eab328444401a848cd2e13186840be8f0409", "5149a01f400f3f0ff4bdd4bd003bd4c50efc9354", "bb4f83458976755e9310b241a689c8d21b481238", "da2b2be4c33e221c7f417875a6c5c74043b1b227", "8d3e95c31c93548b8c71dbeee2e9f7180067a888", "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "21117380118ddce47b3c515c5228372c513e61ba", "f27fd2a1bc229c773238f1912db94991b8bf389a", "a2b4a6c6b32900a066d0257ae6d4526db872afe2", "3011b5fce49112228711a9e5f92d6f191687c1ea", "ce76e45d67773b2e31d195c222870ee6f6af8364", "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "2ad7cef781f98fd66101fa4a78e012369d064830", "3531332efe19be21e7401ba1f04570a142617236", "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "3dfb822e16328e0f98a47209d7ecd242e4211f82", "2241eda10b76efd84f3c05bdd836619b4a3df97e", "17479e015a2dcf15d40190e06419a135b66da4e0", "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "7fb5006b6522436ece5bedf509e79bdb7b79c9a7", "486840f4f524e97f692a7f6b42cd19019ee71533", "04e71c050a80fe3a594192ba14cb3a011b44b68e", "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "19fa871626df604639550c6445d2f76cd369dd13", "13a39916d0459879703ce20f960726c5fb7269f1", "870433ba89d8cab1656e57ac78f1c26f4998edfb", "3933e323653ff27e68c3458d245b47e3e37f52fd", "83d5721eb59461a55fc5e63805d0a83155746ece", "2e3d081c8f0e10f138314c4d2c11064a981c1327", "30180f66d5b4b7c0367e4b43e2b55367b72d6d2a", "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "38d8ff137ff753f04689e6b76119a44588e143f3", "3c97c32ff575989ef2869f86d89c63005fc11ba9", "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "28d4e027c7e90b51b7d8908fce68128d1964668a", "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "6ed27a41214716259676b6949999cdf4b12d0bdd", "1e6ed6ca8209340573a5e907a6e2e546a3bf2d28", "291265db88023e92bb8c8e6390438e5da148e8f5", "c43ed9b34cad1a3976bac7979808eb038d88af84", "582edc19f2b1ab2ac6883426f147196c8306685a", "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "1121873326ab0c9f324b004aa0970a31d4f83eb8", "5f771fed91c8e4b666489ba2384d0705bcf75030", "05ee231749c9ce97f036c71c1d2d599d660a8c81", "c6382de52636705be5898017f2f8ed7c70d7ae96", "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "9e31e77f9543ab42474ba4e9330676e18c242e72", "37619564574856c6184005830deda4310d3ca580", "df51dfe55912d30fc2f792561e9e0c2b43179089", "a50fa5048c61209149de0711b5f1b1806b43da00", "28cd46a078e8fad370b1aba34762a874374513a5", "29f298dd5f806c99951cb434834bc8dcc765df18", "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "944ea33211d67663e04d0181843db634e42cb2ca", "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "83447d47bb2837b831b982ebf9e63616742bfdec", "8334da483f1986aea87b62028672836cb3dc6205", "ef230e3df720abf2983ba6b347c9d46283e4b690", "d44a93027208816b9e871101693b05adab576d89", "06bd34951305d9f36eb29cf4532b25272da0e677", "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "ce6d60b69eb95477596535227958109e07c61e1e", "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "052f994898c79529955917f3dfc5181586282cf8", "20f87ed94a423b5d8599d85d1f2f80bab8902107", "746c0205fdf191a737df7af000eaec9409ede73f", "7ce03597b703a3b6754d1adac5fbc98536994e8f", "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "cfd4004054399f3a5f536df71f9b9987f060f434", "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "f7824758800a7b1a386db5bd35f84c81454d017a", "4efd58102ff46b7435c9ec6d4fc3dd21d93b15b4", "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "18858cc936947fc96b5c06bbe3c6c2faa5614540", "b7bde76f52b3a8a20a05d2a01dec1d1c2a16e609", "72a7eb68f0955564e1ceafa75aeeb6b5bbb14e7e", "77362789d04db4c51be61eaffa4f43e03759e677", "b908487b30002d5ae1ebd819880a713494a45a40", "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "49258cc3979103681848284470056956b77caf80", "14aed1b7c08c941b1d2ba6c1c2ffb6255c306c74", "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "42e898ca773dbd9e085ffa824c21d0bfda245345", "4d90d7834ae25ee6176c096d5d6608555766c0b1", "4e7ed13e541b8ed868480375785005d33530e06d", "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "0cb2dd5f178e3a297a0c33068961018659d0f443", "5180df9d5eb26283fb737f491623395304d57497", "a2e0966f303f38b58b898d388d1c83e40b605262", "011e6146995d5d63c852bd776f782cc6f6e11b7b", "1ba966584fa935ba8ab8654016a12298fcd2b048", "96e731e82b817c95d4ce48b9e6b08d2394937cf8", "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "3cb2841302af1fb9656f144abc79d4f3d0b27380", "acd4280453b995cb071c33f7c9db5760432f4279", "6fbb179a4ad39790f4558dd32316b9f2818cd106", "0b82bf595e76898993ed4f4b2883c42720c0f277", "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "61262450d4d814865a4f9a84299c24daa493f66e", "84ae55603bffda40c225fe93029d39f04793e01f", "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "d92084e376a795d3943df577d3b3f3b7d12eeae5", "48a9241edda07252c1aadca09875fabcfee32871", "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "de79437f74e8e3b266afc664decf4e6e4bdf34d7", "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "fa03cac5aa5192822a85273852090ca20a6c47aa", "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "2d748f8ee023a5b1fbd50294d176981ded4ad4ee", "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "1ef4aac0ebc34e76123f848c256840d89ff728d0", "0c1d85a197a1f5b7376652a485523e616a406273", "1fc249ec69b3e23856b42a4e591c59ac60d77118", "80be8624771104ff4838dcba9629bacfe6b3ea09", "5905b4610389cd3b11a3a1ce06c05fee36a97f86", "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "b503793943a17d2f569685cd17e86b5b4fffe3fd", "0aeb5020003e0c89219031b51bd30ff1bceea363", "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "f8e857063914c58df6d3eec24b79355619cf01d4", "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "772474b5b0c90629f4d9c223fd9c1ef45e1b1e66", "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "1da8178bfca7c76cae53ec34364d86c7d5713fdd", "50b58becaf67e92a6d9633e0eea7d352157377c3", "3d85cf942efda695347c7d95485fcd1e6796ee3a", "3b3941524d97e7f778367a1250ba1efb9205d5fc", "57178b36c21fd7f4529ac6748614bb3374714e91", "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "6005a30bf103164fe3410185976b6b8b36537aca", "1f9e7b699cf2db3888a56ece481ed2f05c88520f", "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "cd55fb30737625e86454a2861302b96833ed549d", "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "098363b29eef1471c494382338687f2fe98f6e15", "6341274aca0c2977c3e1575378f4f2126aa9b050", "84c5b45328dee855c4855a104ac9c0558cc8a328", "628a3f027b7646f398c68a680add48c7969ab1d9", "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "59fc69b3bc4759eef1347161e1248e886702f8f7", "6afe1f668eea8dfdd43f0780634073ed4545af23", "415078018292f90644ef4d34daf381fdbac16d41", "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "b2cb335ded99b10f37002d09753bd5a6ea522ef1", "e83fb7d5510f777048abb2015456e60b1d5eaa65", "64d9c5ab4cab193046ac839b74d182a472fe45ba", "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "56fd4c05869e11e4935d48aa1d7abb96072ac242", "14b016c7a87d142f4b9a0e6dc470dcfc073af517", "a581dab3ab41adfd843ac51af30d47022a5f855a", "d1a43737ca8be02d65684cf64ab2331f66947207", "8f89d6ef6c9e3ee4883595f94b38ab01d05d7b21", "a8117a4733cce9148c35fb6888962f665ae65b1e", "a29566375836f37173ccaffa47dea25eb1240187", "03f7041515d8a6dcb9170763d4f6debd50202c2b", "173657da03e3249f4e47457d360ab83b3cefbe63", "d9b70268f7b3661645417b956bb1e56aef7bdedf", "e4c3587392d477b7594086c6f28a00a826abf004", "efb56e7488148d52d3b8a2dae9f8880b273f4226", "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "47e14fdc6685f0b3800f709c32e005068dfc8d47", "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "77037a22c9b8169930d74d2ce6f50f1a999c1221", "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "6909cd34a1eceba2140e2c02a842cefcecf33645", "4e8168fbaa615009d1618a9d6552bfad809309e9", "5226296884b3e151ce317a37f94827dbda0b9d16", "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "fab60b3db164327be8588bce6ce5e45d5b882db6", "5fea59ccdab484873081eaa37af88e26e3db2aed", "31b05f65405534a696a847dd19c621b7b8588263", "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "4ad8178e285901c886e3e2e66f2340115347b23f", "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "3b64efa817fd609d525c7244a0e00f98feacc8b4", "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "86204fc037936754813b91898377e8831396551a", "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "48499deeaa1e31ac22c901d115b8b9867f89f952", "4b3f425274b0c2297d136f8833a31866db2f2aec", "5981c309bd0ffd849c51b1d8a2ccc481a8ec2f5c", "aed321909bb87c81121c841b21d31509d6c78f69", "2c92839418a64728438c351a42f6dc5ad0c6e686", "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "a35483c9becc95faa16bf70a8c6355566a205091", "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "f5eb411217f729ad7ae84bfd4aeb3dedb850206a", "dc13229afbbc8b7a31ed5adfe265d971850c0976", "3b9b200e76a35178da940279d566bbb7dfebb787", "368e99f669ea5fd395b3193cd75b301a76150f9d", "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "140438a77a771a8fb656b39a78ff488066eb6b50", "109df0e8e5969ddf01e073143e83599228a1163f", "c01133cdc8dd24affdafc03086e419e02f8c64af", "295c44af9e9dc7d6bb7247f567f36001b8f6ad7b", "1e43d706d38cbacac563de9d0659230de00d73f2", "42e07485caa2211707c312afc6bc5f5f1ecb7f14", "845419c6183a9baead5fbaf4ad79694d247c4deb", "758572c5779a47e898caff7232af76eda253163b", "e61a7a02cd2b68043012231f8da1d7077e665040", "3da3fca7cb2e6c071b4b963446d8622b34a96ee7", "11ca91ee2c9974fbc8577207893381a46d79fd3d", "dae0a4ef50b347f145ed6de8f6c7fb94d350f937", "ff5f43762a4bc3286fcde0f45e23714fc23641b3", "0689b01927eb99d9a2520fdfd4b238ca4de1ca7e", "d33c9fe66bad7a90e34e8bc1332b73147a30d202", "7ce25a0852e2345be1a1bd02b8eb4cefb9d47073", "97cdf5887f47ee49c6fb0ec5dc1530ac5b19a36a", "691c034580aa9a7865c6eff95a819999f039976d", "41690be86b39c55a26ea056261513ddd726d6601", "829739639a3a3e31136582e9f97625599a020ff3", "7c0bd7ce51c62671d5ffc1506786b0b7861ce00a", "2e045673404592cb4c0ea136d7521bc6475b3b51", "509be79bd94d56ef7cd1af54e2be88983805bbe9", "0628ffefb911d1446914098d7c38a094c92c8a70", "d5c4a7e9270a68137b5d6611bf1a1478d60093f5", "f89aeea0b41bbb89275174eb8f84aa1832183f4b", "4ee380e444063f9b948a2fd82e5c11b97a570ad1", "a07e7443a51cf64a338500a834f5d80cee69d5d1", "e1e6a4146c082e5465cde38e9511de3d150b4ede", "2ee5d3c5197ee6f23bce8af515471c415e8c65d4", "76725cdaf2b5d78a5b95f2aff134593b78c42cab", "befd21f74248ca5f22f608043d64cdea67829737", "c961a96173f7c13883aff1f8b1628d3299e78857", "cb3ba84146d1324e1cdbde3764ca3b354ee09a2a", "d75d074c11a62780b836376249391da39660cad6", "283550fce0fdc0876db5df533625dffdfcd8d099", "1d1f83023686d43fd4e8805c8e517dffb02d118c", "7f6653e70c3860b537354875677722565e707efd", "22a5c5b366e56339b34a66ce2a4a106592656e40", "21392a527c80839067c0c814763f6b320ee6665e", "73e271ba44a183fb3d678ac2dbb025727da3725d", "63b0697ea7561029d648f5fc3cf940c29f2701b1", "90d8bf2199e7fd972dab3bd3dc6fb67536fa509b", "d9849dbe923b525f3039479178f43a5ebad27ea9", "47788b7a4700d1bbc972178f3680a028874afdb5", "9b1ec8b20a9ac4c9797c27b75cbee9302c3fd4f9", "4e510ca3e5811026a2853390b926633779446228", "26cd9c812c279347ae96db31cee1cbee0f646fa4", "f6eb6f13cb0af1c1d99bf2c5293f7fdfd2b002ec", "9eb111f6990d1494a3904f22be9836c202efd7d1", "0c5b03a6083950aacd9aee2d276a232e6ce3213c", "0a8cfe6bf63530d9ee402a6a6e1a7666008e43b7", "eef35aa64e16b3558c341599ca44aadcc22990a0", "41b24c890ae0ef99ff031c9c8549375af6025fb6", "3d1c9151929aece2c0cec96aa77f7d6ad30afbc9", "22baee247a44e3585f1dba2d01727b6be07d1944", "11373e3b60b0bb98da5075f85938004253dde3ee", "ac8269a3033ede3c1ce4381b1fef61375a54cfb9", "380d5a881f6f79e5253316bb1d6f56a117e12e0d", "309dd5555dad9dfc3f3889cf11b5dec8ab797da6", "a00a59d79ff863c5ac8f1e0fa4a015de4ed734c0", "a01ed75aad9b842c9bdc4bfbff6d90fa8b747466", "4fa85ff0c4f2c33a6f03f84f988cefe1b829a726", "1a229f1d21abe442520cba31a6e08663b3d31777", "10d0405b6c2072c0258430ab0b4f193f67db317c", "2911782a45e76936ade94216c1213d3d119cf4c1", "42c8d3a33a73ace976cdc6e0fc2a17c011d54021", "b438dc16bf97c1324ac66771efa67bdb9b853346", "b58672881dd8112cd3e6dedebcf8367ce2c9d78b", "38e509fc0d94e954a512128760f7a1f0d6fbc384", "a3916c952fb3ad2ef834fda08c23020f59f1e54e", "e73a14bbf3d00fb72b710b6c62639d65bf4ee415", "84af45a22535589053d0b00c9d6050c1150f9eaf", "ab69f49fedb6936ce04b2e9d1f161772b2f24b7d", "c3f5cf5594e66dbbeb1af72ddfe7d5e24a4f56c0", "ca581cd5bd0cecf346f2bc47f4b67bfee31b9da1", "9ac625867c50ce839d56a52ade92d3b971caff43", "c3305114a831c6507c819be70b23c068b07aefe9", "9f9b6224b103e9694444bbfb9efc01f67002014d", "7998babd6df1772532e594625d8c07eab2eefce1", "3d74d4177f5c1444b73221c12f359e858625a691", "048af40cbd0516eb935641065b2224f390731e2f", "81ed539ccd14f99ed4b2d126e4b6a0ccb4082031", "0740f71446e99273b89d89fa05ab439dc58c12e1", "853d5a725ba83397d1b75d6d6eef3eccf448d754", "c507eb104fbd4397da056b040b060d81d25d71dd", "89a9f4faa9a24690e140542be3c5db4a0db5648b", "c3599c91d0e3473178c1578b731b03e4be5d3ff1", "27c6b0883e51ec901e587963070eb2ad96871a33", "58f63d82c4f4c97e9f25b77a83ac04d084c3d56e", "8a85de5d0424cf7424887a7f1f0b36f37e65a10d", "751e352fe52946ca3d0f51956706313ce521b658", "75073faadb967823db48794e9cd54b681bb0729b", "381416c19b636c9bbab6ec5ebb1c1fa1be6faeca", "b8898949a2be260dfe9540b2a39816fc82595244", "711801297f23df9ac8ca1c2d3c9d7dfa2ed12043", "362d884ff43d8c7cd6bce184944cfc04cdd57c18", "424ca6d3746ad6975d0fbc7bd6152e4bcca4b281", "17dea513763c57dcd0e62085045fb5be6770c600", "3b23c39f21156f9ea86ad8bb2ca53b2cf56b4181", "ef75e38d567436a22171de2fb038b2f7c9ae2863", "bcaff57992ba8e66f4bdf49566b4f3d740a172d8", "06325345f9ffef958d9d7c704b28e6cbb3021b8c", "ebad62ebe00fe0f0c19ce04c3f7250506137fc71", "156db35e45030aa590625a3188c8784306d3453a", "45518c2350b9e727adf59f1626610917f71aea1e", "33e1398b73c9789debed1168536c93632c6f3f10", "93e4aafecd11ded7d691204bb576716da4e13cc7", "316486bada6023816c785c0d4eb401658737be3f", "f27c685b8f006cd9594266d98efc17bbf64d2d7f", "0828a2d546796192d84d0f622b9ee0be90e073b9", "147046f4e1b4d1272b482cda87364584db5c1526", "c36f933a46e1d1c51785295bb97154df9ceada36", "00796052277d41e2bb3a1284d445c1747aed295f", "34e5cd31cb05beed14a6e14b7c3158c0f67dd8cc", "606c5f3ed9befa7113bc28436a8a91f176934874", "6f7b74b131d83c5f97ca353cc0267da5910c5619", "36e21168155720d0210b8cc4ae031091d96701c8", "ac68dacd66ebe1c7eab56aaee9a8bef478be9a23", "c188bcd2e90273fe8078cb28dd7d4b131a2a46c9", "4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c", "00434a4491b6710308c653c430784872849d1f36", "930663a0812a7a53963563b647c5957807d3d97d", "56917004d3cc3aca5668305fb33ddda4855dd519", "7650f44d9558928f2feca09467e87a75cbf85735", "b6bbd9a66d573e4b22fd0603acc707dbc5379648", "3f9c09e2fbefc9aeba6505f49317f9a2fc03a615", "3b1f325aef22021a75cf790fbf8cce74ea9786d7", "f1c76d97caa6f882764c1382c622a2dfb6aade43", "04daeb22aaab37f24345238fa23edeb7d40fbc55", "cba130014e6cc590a09aaeca0590623b496f126b", "bb0dc5b3da817a13795c11bcb4b7c80f2414f077", "c7713829e23ff40e27421cc34fbe0ef71b13684e", "d138270d3c06e85fa2c3da6f953818da4b72313a", "00ab6bb0df7fd605038d64eb5798b31481a39dd0", "01f42436042ddaa48998c87109cbe46cad6e7e52", "56a1cdad6b78c053085f8676bd7f5b8eb5e05435", "0a71b71421d8a33c41625963d19d5df85685dffc", "0f907be717c75a5630a4a86080118a3d21581ece", "ecd0a2e55f456b69243d1278fee15d8dbfc98c28", "a826646a8e4e8a746111d3a6915c8f0fcfcc3a00", "6ab6c1334c70db6e7705455a2db359e8d83042f9", "c8ee4812c32b0ad4e26d53b99e1514514bbcaf14", "ae6eb5fdef7fa235379cd741a79cdcc2f7102453", "2734b3a6345396499b2b7c6cc1b43fc7e9b375ee", "2b514d32318bb01ab04f75ef19ad1af63bce7943", "30052dfa6397cf9732a7385dc55f207a0ad24ca4", "6289d2c4c47d7101861153bfe78c92d16cf4581b", "1914d07f940dcae3d82642513718858925a26fc3", "b233634f8944080bce276b6d8962810699494c93", "0a84a63acef89a0f632ef08cb0b00af77ed8e7f5", "5b4ca29fd32b2d11b0e5ea7efbc34a34023915e2", "ec836d3239287400f17c06a230c2757def28fe3b", "9fd88e00acfc0d4b40644eeed28c0780b7025f66", "d80b26548469f5aeda2185138bca0816b1c4b10b", "beb63713d17df19fd7e7e337b2c87841725fdce4", "286b5b80bc76dbb63094a85951bb8e8895ee9f14", "fe5e1e869510d18d4c771b1fe924fca0a01f7222", "8e9ac116393057eca401c35aed19b10f04c265fd", "1a9e0bf9f7a9495bcdf1aeb214ccc9df9f2a9030", "30bb582c2c09abc7eb9dda7d9f80804eeb89f9d7", "ab0a1ad85ffd00df6640f0f5c3e7166a53563eac", "14a829e8a32ac6f0c7be194750128412644de67a", "007394c2bae389cf43e46db4567dafe206355c25", "656d0593bde5a9aecf0a791ec21cdb1fe05cc30a", "e5dc8be9b4678ae1f91764494acc96299cf44009", "cd331931b4657b39ee1ac57471cdc5a484661e50", "0c940ccba1bd9380a0ac723d791777fc1746a060", "a3dd5a595039dcc13d1a98930b7a68ee4307c991", "a565990d6b176bf9c82eec9354b0936fb141e631", "538a38193de5df19a095fc7187f5972de0461195", "9137ecfef874e36da780b6a14fe873dad5da8044", "6574eaab393aa8d674cd785fab16cae06a53151a", "0949f46d5db3169813ae23acafa345c6b8a37f08", "318d7a4bc9c7b1e3a01056815479564ed8ad78a4", "1542b8a1805d73a755d4b2eb402c5c861e6acd02", "3aadcd1e809d07965db79dbd4f026e89500c2a1f", "4add5fda38b0a651295ca2886a9a39ace48dcb3e", "9c31daf957e98eeabf58b22b7800e93a49a92d93", "4c05dc45b82b79e87f7b337ccf9f48d537c0e6e2", "e30bbeb927ccb1798e8a5372ad2c2a5f33d132b6", "eb871655e36fb2b837bbdacc4d98d903931f5caf", "cf64cdc889a4edaf641a307aa2b11d89d4d10a09", "a4acd75470152933faf9957f04579aa662a912a0", "a098721a7173b7079b9158c57818cbcca962b97e", "4861ee51f31fa27e7d1766de06591a27dc992085", "4d9e89d724145e6ab86df356764022210c1c0042", "069c9b3c7cf82310d3e06831208aea15f6fdfc32", "da90c9ff02e76a7e686ffe13bcdedbf949c86dfa", "92175241bd9b55b53403b9f6ffd3a6c956733490", "080a910dcb2541e0ca9384d27de3db7a0248f02a", "9bb1f695e399d030ba188b29b546cd9b26039715", "683260bf133c282439b91ac4427d42d73a5988b5", "e3b40ffd57a676aef377ef463849fd6b9a3d3b5d", "10195a163ab6348eef37213a46f60a3d87f289c5", "1277b1b8b609a18b94e4907d76a117c9783a5373", "7fab17ef7e25626643f1d55257a3e13348e435bd", "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "92b61b09d2eed4937058d0f9494d9efeddc39002", "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "36a3a96ef54000a0cd63de867a5eb7e84396de09", "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "14e9158daf17985ccbb15c9cd31cf457e5551990", "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "b30aaf7e24f665473d9d19739581fd61499c6f36", "bb20363203aba8e88e73603c1e493292dd0c686a", "28d99dc2d673d62118658f8375b414e5192eac6f", "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "79c959833ff49f860e20b6654dbf4d6acdee0230", "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "9939498315777b40bed9150d8940fc1ac340e8ba", "d11d0151618987ce00a88ceda55d35f0bb89122e", "15f82c3a7f12b82281aca77d519403086611ae69", "c6d55dd73bd124c8e2240630258de96bddb504d8", "ae88996aad98bfa49a49d653fd9476e5982e982c", "ec05078be14a11157ac0e1c6b430ac886124589b", "357963a46dfc150670061dbc23da6ba7d6da786e", "50ff21e595e0ebe51ae808a2da3b7940549f4035", "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "b88bace97d214d279e3a2053ccff0b6425295708", "74aeca09284f0941a9c7e7ace0af1cabf0795156", "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "d00e9a6339e34c613053d3b2c132fccbde547b56", "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "4560491820e0ee49736aea9b81d57c3939a69e12", "6601a96220005883572fad5aa6b4632e413c8e5e", "cc45fb67772898c36519de565c9bd0d1d11f1435", "02567fd428a675ca91a0c6786f47f3e35881bcbd", "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "35f074047838d1590591a93477d4d7eef4dd52d8", "d5b0e73b584be507198b6665bcddeba92b62e1e5", "2b60fe300735ea7c63f91c1121e89ba66040b833", "4f1249369127cc2e2894f6b2f1052d399794919a", "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "f77c9bf5beec7c975584e8087aae8d679664a1eb", "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "ff60d4601adabe04214c67e12253ea3359f4e082", "8c2233d763deb01761abe72b9b3dbb0b115916d3", "00a967cb2d18e1394226ad37930524a31351f6cf", "39c10888a470b92b917788c57a6fd154c97b421c", "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "632fa986bed53862d83918c2b71ab953fd70d6cc", "36939e6a365e9db904d81325212177c9e9e76c54", "380dd0ddd5d69adc52defc095570d1c22952f5cc", "53b61d674f7d7758188ed51b81737d545d1641ab", "9e0285debd4b0ba7769b389181bd3e0fd7a02af6", "390dc36d547dbf9bc9774ec8de454e6317a2d170", "b8c08c1330779283b3fbf06d133faf8bd55ea941", "d7c2f972c21290e9df8cce1b4f89389983268cb7", "5f94969b9491db552ffebc5911a45def99026afe", "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "a9ad8f6c6bf110485921b17f9790241b1548487c", "99c57ec53f2598d63c010f791adbca386b276919", "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "d00787e215bd74d32d80a6c115c4789214da5edb", "ed9d11e995baeec17c5d2847ec1a8d5449254525", "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "523854a7d8755e944bd50217c14481fe1329a969", "0e71d712f771196189b01f0088cc3497d174493b", "7f30a36a3faab044c095814d0ce17ea2b6638213", "8397956c7ad3bd24c6c6c0b38866e165367327c0", "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "df7af280771a6c8302b75ed0a14ffe7854cca679", "4522a7268facecf05769e90cae6555ac70c05cc8", "a101de23d08350011890f851d4f73ba8f39259c8", "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "fca9ebaa30d69ccec8bb577c31693c936c869e72", "9c63c2210b5dde771ec8751cebc4281e74034fb0", "26c7eda262dfda1c3a3597a3bf1f2f1cc4013425", "305346d01298edeb5c6dc8b55679e8f60ba97efb", "f580f4d6dc15b352f0bad63128587bc67b886170", "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "c9c2de3628be7e249722b12911bebad84b567ce6", "8f89aed13cb3555b56fccd715753f9ea72f27f05", "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "cb27b45329d61f5f95ed213798d4b2a615e76be2", "0cece7b8989352e16a2fab8c0a0b1911c286906a", "7d1357c13d502f00c66a91cf90a3323d93d190b0", "cca476114c48871d05537abb303061de5ab010d6", "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "56e079f4eb40744728fd1d7665938b06426338e5", "8a991beca5bc864bbc1e26df953fd1fbd4dcb4bd", "ec0104286c96707f57df26b4f0a4f49b774c486b", "13719bbb4bb8bbe0cbcdad009243a926d93be433", "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "775c15a5dfca426d53c634668e58dd5d3314ea89", "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "81e628a23e434762b1208045919af48dceb6c4d2", "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "2149d49c84a83848d6051867290d9c8bfcef0edb", "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "2de5cf93f1b53d01448b94506ddfa13df8f53092", "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "377c6563f97e76a4dc836a0bd23d7673492b1aae", "5366573e96a1dadfcd4fd592f83017e378a0e185", "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "99f43e5f8f4348c04e97590ec173d61d2be1882d", "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "633c851ebf625ad7abdda2324e9de093cf623141", "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "2d8e5012c3772003d1fef084d9e2ebc87c8deb64", "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "2b632f090c09435d089ff76220fd31fd314838ae", "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "cf736f596bf881ca97ec4b29776baaa493b9d50e", "cca9ae621e8228cfa787ec7954bb375536160e0d", "51f626540860ad75b68206025a45466a6d087aa6", "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "7b92d1e53cc87f7a4256695de590098a2f30261e", "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "a398fcb30b49bee32d8f2c4cd3939517cd262025", "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5", "c5749a9f786f3044e380b1fd23eea7e3534b3e64", "e03bbca03dc10c4dfb10eca7439aa1a19233aa5a", "2a42f5cd39f6518f6e41633f237090cb80790f35", "c21374bb29efd282ed89b5094bcd9a7416d30339", "50f1427d24b13ac374859ef851bfe1e05355b958", "91275ce826037081f6d02eb3471601a97ac5b4bd", "ca54d0a128b96b150baef392bf7e498793a6371f", "1e06865a8fa4e76867cad59ea4e6c4708f958a44", "e1f6f01457f527408882a0e2aba7b2496b48456e", "9b7af646fc817fa1aca2fc6655d64686a65ab17a", "30dc93e203313748c3a23b99378209c6919790ac", "653a3a1ec8245977db082fe80f53bebf0085295f", "5ced805107dd8d453c25f5a176ec14a0955d8ee0", "1100ad221e6ab2e898beb0e49af107b34c02090b", "bddb0667e74549eeebeda1fc50f49a5eb6fdc55b", "2f1a5e5b2cc9d2b31913f1b873e2a617b6aaca05", "2b47a5ac9ae5bcca1f0ae3910c690249e6c469f6", "096775868090facef67f7394e5b94b50128858fd", "c789b35640f09b5aa8139719e324a8cc9e3cc0ab", "4ddd0b6644457a2027fe206cee57121e9493e700", "78b1a3e26125711ac0b1cebaa6fa65a5625ec751", "1da99a4c19af3c13a17b90081da291ddee9611f1", "77d72c0bc603ec1da852362035be8be69130f3d9", "780ca9b0868435354a9ebdeb384a3b632f18b98a", "bd08ee3464d50e79d013ac842737fa97367c92bb", "66f9e488496fafe853f49f834b8041740ac82926", "5552d34933adcc74d0e3ca8cdbb93cfe3b1aaf46", "03cf107beae8394c685cd3997c8c4740e2468a7c", "e8a5a2fd1bcc580139291ccd0ff967e2007893e8", "7dd77046d1268e41e82fa452fefe91a779d3e7c4", "d78d66e717f62aaab59a4f11335167d72ea7f19e", "346a307a26285290c5baf726e3076ca1d5eb9b5a", "b1a3b19700b8738b4510eecf78a35ff38406df22", "4a73629639f1ee42f8352c2e2dfb9ec306ac1400", "413015edd64a15cf2b2a9172768e8c12db5a259c", "048fe8396aa62914516183ea6bdffcf38838ee07", "1581abab7ee42f741b8cf783e7d7898493de2ebc", "b57677ffafdb4a1224beeb91510d17afc235ac8b", "dee460eab759c02b03e5cb6495ca73112d857e55", "8992f0fe1c23796047601f45f1c99224a9fc4fcd", "5b6f5645a9de8e8c250e4d473aac61016f9324a3", "3b475c337df0dbf30c0627272b45219f3fcf3550", "97d16fcb4b692a6a9a1ba9d0d102319eba35b6e7", "049d93ca5b69431aedc2cf2acd89cbc40aea158d", "44a9f290dcb1b30d478b8b9dd94e0b3637aff92a", "8e1f593376ec8f0a7d4cfd98060406f2628e0178", "3837f3faa722c91aa21d6f17ea1ac1cb5187bda1", "99e386cf71727ee66d5ac77693e107c78508f899", "dbed7dc1cfed3e0b80a594cfdd1f129624b4fe22", "1b1d9b528c69e082dc5685089090bd2d849d887d", "c5adb33bd3557c94d0e54cfe2036a1859118a65e", "2f6e6ffffeb9538362b4dfcf90ed242c57317a1f", "4958c06da5581fd0b4904d3bf0ee09958ecdba5b", "b73ba189d0d1a3e2502716fee60c6865a7964d6e", "389ae84da4e82498b0175176f2f19ef6fbd06f64", "d4881f8794acc300cce436a4d60f46d040a3af99", "3df26d623b15b2e27a19f5cfef33e36112f07675", "217a21d60bb777d15cd9328970cab563d70b5d23", "a2df7d7cb330440165a23ab24ac79e11cd1fdcc3", "b22d1ef896a034c080ae3ce44eb78393f2156396", "1e41a3fdaac9f306c0ef0a978ae050d884d77d2a", "0949e3a8b5e70d47f07dffe3aebb1a709f283199", "1acfe213bde3f69a8eff515d92ae88220cec4bad", "939453d51ba1a574a9f5a41194d14ca2470da88c", "ce4f199ca6df3e8515b0f75f3a69c917d2d85b66", "771479c18b586eafae21baf262a220aaa7b2eef6", "b68f55bab12ca50b033d8b5c773ce5fe88c5923d", "bd224f8cb6a241fd651f4659c18928221c8b8ef2", "f2cfe635bb9ffef30589e48d68fcda8fbd034c9f", "ae26f381806845ac0d4185815eadbc5bc0eed609", "7e63af3e76b4c7a1168a577eb317fb601bfcf87e", "1d05bb320ca36cfa062ef8ff76590b9ae3acca58", "0a1413e7a8414aa1f129daf0b7ffffc1d5070212", "2717998d89d34f45a1cca8b663b26d8bf10608a9", "65601451bf636e4655007b0fc535b32eca980cc8", "13636bbe75556f069eeccd6a84329d9fc4a057fd", "946045a3c6304c1cf608f6096878d6ba180df2bb", "304c757cd27e1d93596112882f42b5db3f7efe49", "56de5038b1c0aa706b2c99dbd4dac7e79e8e5eee", "ab4228c3be1e795ab3d3349be8d61b9c1cce729a", "2b1dff6c06ae92b8d73d2fea6bfbf5122da46a81", "9684a54d9ff94855a40a2dc3eeb1ff16b44795fe", "6f9892c904995ed8a6eb48d7a19baa0e40420f90", "a78cf9ee6571b99c74e330dfe8d357e51fd8cd28", "ca4681b7768c2b1d30adeb32c6f0b3bb9db1653d", "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "80ce72984af1739a4f6d4c972dbaee62fb8c5a74", "02b5e16ccecef823ccd5409fb9ecae31310971fc", "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "d6ab2fd51ce0139bfeef96cdb7789ad3a799f62b", "711b5758434dfa03ab9da1f4add4077766c1cf27", "03d37f9c8c2f6b27840767ca5dff144613f6af4f", "20e783a2df0486cd1c8b6b59fc76220f5718b304", "0e8cce2c7050f1b28422868d2af78dfb14ec0cbe", "ab6e1ffae59c49b737bca925449f9f3285d5371f", "ec52f9e75ff172e290d552b639e1369ed75e2718", "b7b9196227cdf2f55bd5b6fac373c9127ccb7b57", "0c427edde7a1c34baeaef9358390b7816330d0d6", "1cd9efe6179e5f90728332bcf3368fa02a6d4681", "bf3c25349e463c5d238cc60f5373f9218554e322", "18c7957a16609f8794379483b532a6390e3572cf", "1f6478da40edd4a243666a83fc2451388b43547e", "67906211cf1482ac3a46c379d76adaa13c899d1f", "2607455d64b9f25287d4e60cc6a4c6692a4cc1eb", "258a2dad71cb47c71f408fa0611a4864532f5eba", "84df037c77b1565dc2046fc8547e98c68579f077", "109202d326a14467722fa5b72adda07fced33eda", "a8a7441c7b23eca1660052169de2086852fa1cc9", "0570cf84490413941ac68754622d1442d838b90b", "97b86d486c836abbe8fb2cfd8810181593e2ab53", "1f678208bd8d5b50d8113207ab3c6758db8a9246", "19732918e1da8365843191eea1540faaafbb305b", "151f8482da59b2d0ffb6f6892dc107771b435665", "4a25a22b7ed6f85297f8a8f07f2188cd1a81dd29", "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", "506e290247014f95e11dee8146f08b61507d66bc", "09903df21a38e069273b80e94c8c29324963a832", "a0dfb8aae58bd757b801e2dcb717a094013bc178", "4d352696f60eaebf7ef941bb31173ba0a1bb9a41", "8ddcf45e1fe5f1e528018335605a6e66ed30e68c", "ae651ac14805f58a9eb963e484cf3df0f07a76d5", "69f564032a66eb414d003eb277f3630eeb5d1b27", "8f9c1d3cc79fba333b97e638d817c6bcc725db9e", "61eb42e978a99357abbc2c64fa0d364a1465d7f2", "6891fc343ed8b7e530b041eace4c21d227901e90", "e1d262f22188d71ef9ec1e178ed235d025cd4a98", "2bd0a810bed6e37cf5f6441ffc3477319c3e633b", "4932b929a2e09ddebedcb1abe8c62f269e7d4e33", "759a25606bcce2c2fefe7b83e091186a0c521d13", "f6f4d887fb62d33a9a18cbb7bc58bd6247384a35", "11b40f51c156c82b6defe0717698bbb2317b66ba", "896fc7da5a0b8d680c49aed01db7370133edff37", "7f0ba275bedbaa285c47bc3bc89edad5c7d9bfc0", "183094b5dceb37bdbde9805f1960503aad72ff8f", "7fdda2bdf1e4ca717b9e8c57f7900a2a24aef52c", "ce3cd202d7cc974beab3e101231db9ef74c6bb40", "151b6c519c77cda9ff5542fecee166a166e0928f", "0197b45de121e60c7ca13837515f98d0f6d73d5c", "6eb4ad8770da756c7e7aa432c8aa2c840b2285f9", "1a51c0f5f20d3abddc01dd1f6a40ba75a6164459", "2c5a27acc157efaa07b2f34651421951bc724c95", "b73fcfbfbe15f25b3e804cfa30420a3e27b3262f", "0ae69840d9dadcffdf13b0b712f89050d65559d3", "5b0552a8e0ffdf1b6e7f2573640f888815391dec", "7332999abebd14f8518fa2a64715a1ca4cfda242", "97d3a8863cf2ea6a4670a911cf2fbeca6e043b36", "7f386cdd37df57e4d00b75fcc8f6c7a04d17db66", "6c50dffd2c9c96bd868c79ba20260770ee5538eb", "845c5e3f264d4a5d660ff0abc81c84778ceb324e", "833e8d17a5543c943125fd2175e5f455bbea3cc6", "3eff18934f5870b27f80c8b1d7104967460e3035", "588a21c28ea77a71efab5b2ed4f307eda49b6d1b", "b033f83e331e80efab458eb903cedb69510e8b1b", "89b30aadd8a2e7f4d97b7c126128853ee1c0c251", "542a2ddc53d80d58a8791ab1a72dad660035e114", "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "06ed31fcd78d7cbc86dd381dadcd567bbb0c7698", "dff2a734e5a684a5d9ccb3912b26f1503ef4ae35", "85e823ebb0c3e84284cca7b78a5f73720531ee81", "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "b3e6e4bed1b5f73aa114d19dcab214661a1d0cd6", "be19dd880e5f2bd7a4a9d785971eadc871a65195", "3e16c45327fbce52237c5b1666eeb3eb7dda30e4", "017297b68f49716bdcb64ea3b2ff6c490e4c3225", "76d456bb92f8fe1f32d28f4ba3e400c8c5ce0b4d", "f9ee16257c8c749c884ad8146fe57d85787b6430", "c99d03a41ab5dbfc01e641049945525d2daf680c", "4650ac406a79fa59ff147ffabc32e80c5edc1cbe", "e6cfbfeb178e7fb35baf3215626705c790b7605b", "538b2e084a8e6d2e461fc4556cb46441307869c4", "a7817a19ee8123026491b6389795c040e6040763", "5f726502ae46816d3c4ca41fcbcf089992349750", "bfbb51b27363f83c6b043e0d7938df927b7e9574", "13c72c593f1992bee50924677628e7a8713d9af1", "ff7a6820316f2606b7f7c8a07415bc8eae6587af", "3d6a22c5574d1a6c71f93bc43197157a6a32895d", "da7fc2231134fef949882bc193bc1802b318c6ff", "5ff684231fe006d9743c6ec4d8dee5dd3f771031", "c40ccc2fde6a0907e4beb27e7f1e34e03f98600a", "e1bd1f70e908bce6c9c4e6b1d7f243eec8ca867a", "cf16ec9441fbfdcf0ec811f25a2b804f562c9958", "4cc2dc6e6b1f4575e86217a13b591f605a12b825", "c9b958c2494b7ba08b5b460f19a06814dba8aee0", "5d8ea5ccba2fa8d1f9f3342adc776ecde5f82d32", "c27ef63f9611c5ccde35d25344b25205973a9c6e", "0ed925cf92023466bd6a8ad886a805b10466e189", "604ab308e9e007a5cbf180b23abd9bf3fbcb821c", "51e2167cae2e257aeeab0ba6600227576e6cc436", "0566bf06a0368b518b8b474166f7b1dfef3f9283", "7549fbaa8911c499ffd0d1ad9013a72eee5d95cc", "408f6724458ef2b2d19636fb0b7b05dc14c4cac3", "523573607fc7b2a648e0d508d45fe801adf6d8bc", "c8e60dad2fbadb19967159f4baeab41fb168d796", "e278218ba1ff1b85d06680e99b08e817d0962dab", "0ff48c41af4648101d8c68d23c811a9af03c8966", "73c9fbdc05f648ca8f3c5961a91522164be10ba6", "b05d2ec5df6c24cc44b6f7e889e3cdfde4171a4f", "be6facdbc38e38bfa059b0b11df481c400b6441e", "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "a55720941b745968d06381f3add31c491c3465ea", "f2d7e59182fd5e40b4c961291306ffc5c91cd6ca", "6c06f959397e990e5d68dbcc85cec8b96b4c5c2d", "152724ee2fd8b7379f75a11bee72ecda408c341b", "e49394cc047ad261d9f3968a4c6d1fda4b5309be", "c80be9b548f83528e166868565ecbf3581d6a6e9", "cb7361a2164dd76f889be9c60a2e8d5528011347", "2d2f2ca5b294b99a0126e7ea4649567d3d4cee16", "4e6c23835189943b1c830eafb8be1c09889b23f6", "76be26b546b542c9e0c3f6d47bfc9b27d8106982", "0b62ece314846fa257d76e84dd9d002d1fcd21ae", "de0aaf8c6b5dea97327e8ef8060d9a708bf564af", "4709eef3f059e13dbd6752dee809effee56fedd1", "b58852921f43412f5ed1616135270572b5862107", "4e4746094bf60ee83e40d8597a6191e463b57f76", "cdc535719aa041b7bbd529eab4582619a04b706e", "27fc0a33e12acfea26ac06c6f6325b70db13bdd6", "9fb043439aaba12867f01d37f37b16467386da74", "656426c200766444c8b8918af71c62995f76253b", "85077c7a4e2c9b8a1d35e26231358c0986710d98", "0484e84b9e1c63caf683759815f812915c01d0fc", "f8599ad5332cdf2c9919988ba300bb4b438b5834", "749801f4796e16f8ea4f20b4210686d94daf2972", "40010e1918e1f342b14c8ec74e570101f07471b2", "6cafe39de962a125c8e18fdcac12d166575cc38c", "aee92d9db9c313e321336e53a6097c57cc0853ab", "bb78fcbc009349ab44785ce78c7aaff3b79e4fd6", "23347ef3e4d7be7d5b02e37de829bddcbfcd232f", "4c03ed26bbd189a895d35d87534cae45d8561220", "26b5963909aad2e663e3fac0c66489bf9a78e34d", "0429c701ab694a8d8d7e780516bcd0ca47b50855", "60eca89b103bcfb286148080e73f77acc39c7196", "80a3ad1b4ed56d86c0add2ee6e0011a2fc552df1", "2b2639ef3220e13dee1a9b477572711a3f2d06e6", "7d22e93a47fd080de2e999a4209bdfb483b8b80b", "c5de5bea500834d355c7ec00287d3b77a1a5b018", "2a7d502debb9c95780d31d7e1b49f6c116e0f046", "1695bf2608c13ac4463944abb566a2774b082446", "323eb410e0d0978901a8baa670f905f280ab19ff", "1633c30909f4f3d91ea4256c76c71abf62a52bd8", "cc1b21b61bc51a4c4c5549cd7d4e42a7f18ccddd", "2af091bdc1235e58f13d8021fd0ad9b96f89c0e9", "11a3aae9b2c459a4a5c4cfb2ba101df0cea3ccb9", "ccf5a4ea6c7042ba025b03233b513fca08284e65", "1d7e30b2db63727b7862c982586537481c0f7146", "11bbd7f162c0e5f1f00abb08da327b2c9e711b5f", "4c7659079b3df5bc746f76b2b1685b0b539832d6", "06466276c4955257b15eff78ebc576662100f740", "4702da6f887d9982d4f74c2377f95ffdf935f4ca", "071680ca97de050a372ea79f2b99f102bb3ca6ef", "c564c28f86279e218f04412fb21efd4303c648a8", "4c91ca56283200e150c1d5a71dc73234904d56ba", "0809b4e79dbdbbe7c7a16d60dc30db405992c598", "8b93411d0321918a545c1bd820e337962ccd6f4f", "24283d553914b7dce704de22a018b887214a3486", "defdf6dc8af4f11e6d040c20892e60b3aabde176", "c4d2f47c859c330a45950f70fcf81888af901058", "e67309a0492c195b706663dd90616eca7c979e2f", "824b3f3c1e537918868a9ec28f0c2d2cfd84dc57", "56676f712637057e230b2b842b9cdef2630c9af2", "d042cad2eacab630ac9a514e84a2c3a1319d02c2", "c37ed292e59790a4cfe9cc89db8bb1ba4775d967", "36cbcd70af6f2fd3e700e0a710acd5f1f6abebcf", "888d98dfc312400861a89bd433492094dbe787de", "c7f98d6973a5d07eb2a7a4d07bdb13fa3e4a6d4c", "00d9d88bb1bdca35663946a76d807fff3dc1c15f", "81bb775a46b6ef4e4bd6aa7bb2762113489f809e", "628aa81f69a2539e601d822de80169a244cafd40", "9a24fec4f14b6d1debf6a3895e74426030683b47", "bb9686ea6f154a64fbdc3551fe223da42663baa9", "95e9ac6db8015fbe5083c41e6b8963f881b21016", "40f2d2638c9a945c38e4698f33ad33d32213a50b", "1059729bcca57731c81d8a9c866ceb8ed3547d8d", "29acb73f1aec78996d77eede7a7b72e892be9a84", "94254e7f2524985c78f050bcf1a5793a1076717f", "f458105738111ff04ab930c13b68d11d1a4122af", "26293e04a986518e8445059e02482faf530f5bbd", "0170158c227ee1ccf0a6a2d642699ff184c84bab", "c4d5c7f4fa8d5d28cee529984b2ca1c6003403ec", "d748ab44c4ce2679027aebd5456d7e94a3924edc", "26288af02d522e50308ef8deb2def5cd3fe9878b", "a59436cbd6bd8b6ff4ff754e746fc2509191537e", "3b1fa9a3137bc5f8474a39ab99f98c6b783acce2", "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "da2549e85c28d92de907076ecde277cd4b3d27b7", "662a88ad79e390c2436ee124f03c5b5763074498", "4aea5326c2f8cb29b3aec4043156e3076b915815", "0d44b57c5db0519443264a1c7ccebb5a8ab0ba5b", "11aabacac6dba2aba621d604993afb7116e1d4e8", "936a4af585f9a7d3b95c078ad31e8e41e22cb406", "3dbc6271e7d4fafa89106e2a85e9deee19e9ebd0", "771b7d76df1ed476dea859034a276f14ad1e49f1", "03ee62090d89cffdd6fa26a12943c9eaf1de5d79", "b8c62ae9c27111c1500768e32c156851b5514a70", "148cbf752f1ea757021a2e0ba260db09531c23e1", "e5781730c9f1c81b08cf4b4a924f1058efe77908", "6263bc7ba717f848024126a2999fbccf7bae4403", "b58306ee26b1b49afde9d4ce5f6050f3ce588874", "af13629a536b1499cec1b03703b69f96efdceabc", "df84cf593e7e20ac0fab44b647db08d2398cdb13", "2a0a33b08eb146f63bcd35a05315d0ce90bdb940", "9e51844b7568453336b6f76afd4d4c5c8b24a478", "267a3faf16b12707bdf218be22714003efdd3732", "9a0f55d011bccfe8bd21b222cf355921ba05cac0", "1916a795d293aa3ddd9802ad5b5d50bb4a59b98f", "f5b3dcf24ac6648c5a71581a63c4fd69cf985f92", "1b503c21d865d3c57e14bfa2f4fddfc29536625d", "000f948cab1156b92ab35886ee4eeaa6a5e4da1f", "02ead663aa1d3e52295bd8464206bc82a54ace18", "1946ee514dac2bf70b1b0181784dafdbfd8d8ac3", "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "5414d792f8b9dafcf58d582545d3e7605b087ee0", "14f9b9798aa3f2077d4c16d5d8ad499283b3e495", "d4dabea2a8e3db01846bd14c03ab1be4884ca75a", "662334fd605487b8765c13c649cda9129e908d29", "00c60f1f0ccdab6560aba012c73ea291a13ef192", "aff59c4c4fcc19946ea48a34752e807b0621ee42", "4a3a9d02999fcf0895db31d644f40c98254ac4b1", "193debca0be1c38dabc42dc772513e6653fd91d8", "3947b64dcac5bcc1d3c8e9dcb50558efbb8770f1", "4b8f420af483c4673e0c6e7d0dd4bc15a6b875c7", "2101a169125030e58f3e96783f5f2cb013046ecc", "6df3dc585e32f3b1cb49228d94a5469c30d79d2b", "1b69e366df34ff18be3a5044340f726c40537998", "de9de9609db4ff023d8765f4479983227ecb8b47", "231bd67ae76602fcc86583122f9ac0b4f64d3de4", "96b85773f06720fa25c1bd6e4290e22d1d23f815", "689f0260b1ae60a553d54b28a075a210e9b40c94", "7b60adc3420c3aa7cf92b3533edc0794d976b541", "bf6a087e7b6fb84dd4f54f3b16950ad577e591e0", "56f812661c3248ed28859d3b2b39e033b04ae6ae", "779db93204bee4a9540db1e79ceb0b45e5af77e9", "467662cc7c78035f89405f50fd97398e194b5110", "9667c7cedeb9d003b241c16c32255cce14460f54", "81c820ede111830e9ccebc3281d1c4300ccba9ac", "edb8cf4de599e7e4267403e17a85cf82f8751b99", "9535002d9838a04889331ce90bbf0aeeeb4bdf00", "d407eb5249871aea49b138d7a54fcd3df9a0c27b", "9938945f9898f2f95f607428e6d5a1eeca63750f", "becb704450c6b2f7f57f03955036a5b66380b816", "ae64e511777404f9b28e7d048765eb7252a3b83d", "8587215eb286423ce5eb0002b186da41e6cc6eea", "f9fdc63934841a0c4d8d29fdea80e1972ffcfe1e", "73dbe02e590fed82640c46129f64651fd1b33c24", "9c0cda8cb2337fb0cf78051bd0fc6b086d7efbfc", "4b215519d7f82f5e4e097f92ec35eb5007e954c2", "3687d95a21dcc5521d3cf28dd9306658ff9226c5", "f5124fd224ec921554a7ddb13a84a738be5ba057", "e43ba752b64fae54fe4d217a31d0529a98ea9644", "8a07b8b84cd4df7e4e20dadc5b5e914fe0e11162", "84effcd6231cd9d1e39767491403045c98abc3c1", "81cf36452eb8d03c8c28fc3d56a6f305e96d4974", "2bda0068ba4d214c0cf727b18b96f4c19524bdd7", "98fda276c9f268ce65d2cf55e1876d1de6f05e3b", "301de764ffe31d00f197abfd4cdede78cc973e3a", "274be0f6a343c0c75e792f4fa9f598bf7d1924c8", "78780c2c0301ee23918462f05b0b52ec1eca016b", "7783095a565094ae5b3dccf082d504ddd7255a5c", "7bd56cddfa13df19f793061016e45a856c72d329", "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "c3e4ac8907c4009250f55450759837f02dfc89f2", "9cbbb518b2d607cd3a8081523550d89623490cd6", "a18e811a27429ab8f76bb133db6226853d554704", "1fa5273a701ba25821529fee21493b0424eedbd8", "78a35d6f5387acddb5db723b5aee8508d062e680", "3d3073854220455d0c4b61d626bf601c9748f2d2", "1b5a19828a1dd486ccab1e9c107dfe7bae20cfb7", "756ecdb4a87ee1395a8daa26d26de490ef47eea4", "85314e1042bea0a55d908422484d403a09cce46f", "6f3b511729fe87658da0d22065688c42bdcd1f4c", "82e429eccde1bc2de66c465308468622cc2ef91a", "eb3f47ed113752eaa4c989bb92aa0e3e4e0bf339", "863d15ac28cfd4f111891bedae3373fca836fa6f", "96bac745855cfa470f34ee46bc6315ef3729c3f1", "086a91d8db2780a14a21335260e97a9b7b27f546", "5a3800bee147ad58ab7d6c55d8a2be484c17a511", "4952eab1d9eb457a92190b5c33d98839c27590bb", "6e09a41a6de4011a9e9e1424c530dfa18fccf08e", "8b4b189cf7d9a079832f1cbd2f7ad595d5d371cb", "263da1c074ad3527edf82bba0222f74c6f173973", "c2864a3551a3a5d41474d06639815939f8439add", "0907bf3a63f121353e94530133e2dd087b831dc6", "d66fd730b1792ffab1e832e2480788bd8aceb763", "fcff3baa6149f525b5675bd081a9337bec5ece41", "94e6d270f96778856991ec66ffcbef731957ef12", "4eb3ae4d9ba8cf94971130341cd1cadacac3b27d", "5a707d2c8f10349c37aacb776c8aae8d933950e8", "7a061e7eab865fc8d2ef00e029b7070719ad2e9a", "498f312acf7ef8b60d3f65bf5c440e9d15915b38", "ee6c2233ea56bd14a4775826ecc9c0bfbe16ec87", "86918959311b077fb1d5c9c14f4aa263260c47cb", "c93dd835e1c175f78ce1a1f6fcd212fd3920f755", "69aa599a7618c4f095ffc9c782b4ea67df05de2a", "dccae0dfd5b10ee25e534e70acc52804fc030d0b", "44eeda423bf6c1bb5eb73527d406a78d1d0e6fad", "8455d208f43ec69971eabfcb28fddf64c3c9896b", "dd8c45baaa6aa112e46dc2b7dc08c4ef9c1d0afe", "ec7d69daa4f0f45ae90b7872253f067556d827e9", "2a69c47441b823ff589ff7cba0df623af31c77eb", "0750c796467b6ef60b0caff5fb199337d54d431e", "16a0415a39b0640d2f303d7fdd4a80f5521bb404", "553ec63f804e578edf221ab642a1f05612657c22", "ba74c078fdbd5f90061351307da292d36bc18d5b", "e412c0891bc40d68f12a64772d3c9eecb3744949", "5cfbeae360398de9e20e4165485837bd42b93217", "74ba93f347635ec4691852eef76791c463abd103", "35d181da0b939bdf3bdf579969e5fe69e277e03e", "4fff3f15b48e8e46280798df387d3dacd193fa1d", "a46c9dd10178c6b8deb258d2fbb28ba9d4b82523", "b7a947c8a036abfeb3b7f54061b3932fd6f3ddd5", "b36e945243d56fe25ba83821cb56aabb6bf92979", "4075865cd3474d397382d7d83ca65721668ceef2", "f657a6e8070d92659e28b32d47929d00c46c0d6a", "06046fcc31cd0b8062f3ea2d568e561dc258921b", "09e1072c509e1d24a34dfbbaba1c3700e1eb1338", "63507be85497d264be2c6e11aaa66def8bc40f6e", "bb346fb120e3c90038f34d4f669884adf5233722", "77ff558d125b574e3f850dc694f56213f4441590", "1ea7f7e66f50b890f9e3bcd8b28659316fa30cdd", "334ca0a146d466cb1ebc38d13a2dc64e371e979c", "075cf66ad598775b31e13227effa2a944a507de8", "7722acfbb0cea8ff80ba355f00cabf02f1f2e0df", "e2d37596f1ad4823fe042f37137ff54048231de2", "29b8a236d2d0eece038f62a57d8ce63c7819b40e", "d3f9315e29e1cd24326257972f4769249d4e74ca", "09255414dac54b5168977d2bc871b85cb88eee50", "95288fa7ff4683e32fe021a78cbf7d3376e6e400", "508eb5a6156b8fa1b4547b611e85969438116fa2", "c4a2da0fdd20bea8301c7ff872444e00672e2de0", "a00ce39d5a2ddb903b3a4de9938d0df0e21adaa8", "202fc1f256c62288b150d44152ea348563970700", "8e9dc84107d25671559e940dbe548e264f85aa35", "084cf3858b07d64fc29cb7f0f4dc0653c6246d3d", "a19a92c9cc5724913dae0e6ff5f8b8bc0c35dbd6", "4dcd40005726e66a0e4ed33635b38bb8107a671a", "e8df342efc6f81e327149295a22aa973978ab99b", "79617903c5cb56697f2e738e1463b9654e2d68ed", "d690c73221aef394d093b26ed54cf13d9be15f62", "52ebc9e9f3129f9a4f5fd79221249941479be376", "d9c4b1ca997583047a8721b7dfd9f0ea2efdc42c", "1f88427d7aa8225e47f946ac41a0667d7b69ac52", "68f087acf865a5d800200199871beb286b5a7659", "c6e502fa918beeb033b9e7f6d0de83d55fa59d99", "45a44edf54064ca4e6b14a51bd1303313168af3a", "651616afc04ccf20ca2c015b2f78be98ea5ee24f", "b41080e0681d2213a7122885fa4816d9f8c19ff9", "64d42a977f644e1b2d0e680bc91cf5e5b3cbf034", "5638516780883fa91827ed095fe2ace103a2f941", "715cd420709395818538465091f4a5cfc12c4a86", "ff14098471311d2786b1d890e3f7ff40f2835036", "6a4ebd91c4d380e21da0efb2dee276897f56467a", "b346d614a34ef9d267037b796824311ee6437c19", "784cc0363d44bf09f3f636abd1a532ddac95ca13", "bc4dcd80a647dba602651f078e056042ba836e7d", "c877fb881378393fd8a5e9d4f7abdafd7b004821", "e6d03614632804429e55e3691fa1d74b0e92b531", "29875d51da4063707a5e16a90493c69be6fcc006", "850d84e4c73a8f0762c8c798b2b7fd6f2787263a", "3810b6299140bf2c7d6d0cced765c0777d603923", "79887e092becb90dd7b5197f93605be209d3710e", "1b0548e52a1ffc7ebffe5200e2111525c9f7fd4a", "acef60b233cc05fa2ea4700e1eb22273bebab77a", "26dda18412365d6c59866cf8cbc867a911727141", "f99a0d944c3b8041332f3d0ff67f984e29255c30", "681b6e96f3bfef39bb44098badb3dc43311f5857", "0f6fb0f7b5a24385f989100388e4121ab84bff42", "2d83ba2d43306e3c0587ef16f327d59bf4888dc3", "86303054281ac3d593ebb8aaed37218468534bf9", "47b6cc487a7a257c405610b5830b67f30c514922", "06e95ca55197500eb5363138dd18c80e7f7f801d", "8f595e03f93640d25650b34b35c39156e42c1052", "5eb25ec961c6a86c93001a44d38b3eb894e7e5fb", "4c91ddc8d4f68bbd4ef04747443c622dadce1097", "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "116907d7c3602f06f2d277ed77b63b02dba8d454", "b1ace8d8e60209d9ceb5ee0fdc9cadc395392504", "610a01b2997c1705213d42b796607a31a63a8e6c", "0145270501ab2812c6e402c6af8b80c6ef0c6b17", "d60e386a44a7b841fc9f4369d5f71bd517a49ceb", "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "ef59e9bc97205237d776d553e304f4f72e418ead", "3b52357706d8670b8b35491cf1e311f240c3ca08", "b3b89c23b4d3973db3be9413f64679c5c1ae15b4", "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "0081dbce2c29223b9713a8b41a93852c5319ea9b", "337c846f206105bbf2bc31926f973db1012bd2cd", "f0f501e1e8726148d18e70c8e9f6feea9360d119", "28d7b900aa8c48bef81db589b6ef76c639dd8c26", "3c78a53fd212b80ac7e61e7713d39e458abbb026", "7147154adab91d815ea42eb0694d139e3fea2056", "407a5670b7de60893f9d6e46b2740048567e410d", "02aa3f8899ac04b29fa52cc3c282b1c604de9685", "322042ad339d216f8f8da82ca0b79f73d9df3019", "cea41672f1e169939ae82ba01a872dc2b353106a", "012e46ca4c7927857fc00813864b378f7109cbfa", "29107badb19e7c5c89f57f81f50df08422e53304", "b030f6b619e0f5fac51f8cb4933a4baf281f0798", "6452d294af27b1f9408c9522bfb98bf00e1e4732", "c413d55baf1ee96df29256a879e96daf4c2cc072", "3f1d8a700a193c8e27992f2c26ff8325b878b85f", "8572f451a9943f0f653b98b6624f5cd2512c1a45", "72b81533eb082709b1fe2a6a7ecba5d2ed7fe22b", "5fd6863a59e88b45f62e82bb72dff3fb52c49be1", "d5e4d4893ea8420df2d049e888dfd314a65cf4f7", "2f07ebacd09c805787e41368b97147b5d4823172", "af3c292acbd564f4c641e0272ebbad0af6ab61ae", "e8d5e923e88bec3deec7fe5132932398d5dd9067", "19ededafa714eb41d72e6080fe5771199fda8ae4", "0a023c35b0caf38c4068e0044c6213251956a9e3", "0a2ddf88bd1a6c093aad87a8c7f4150bfcf27112", "dd6a34ee3408bc8844f6fa388e0e7287dfc03c5f", "2809f39a01d7292fd680af31b19504763a3a20e1", "f9592652d962f470d539d42e21989e71df943041", "bce0db9cbdfcc69cc905cc667f9642e45b05caaf", "a79e853b778c143b39ff6406a54f6f68bb64364e", "c86ee85f46736566d6095cd00b1370a27bdd8ba5", "5ea94b5e58c7c476c8d75b22743a3f98debe44cd", "044ec8d2929e703a161290d651fcfbd0a6db7151", "1f836edb0c0421dfb1b14813da59796a64a87466", "0e824d7f2708fa1f61843b8d39896591ec3c4ed1", "1d2e33bad29c525a16b2f6651360de6eef45cd1c", "3e819b354da79f1d7d3015eb8acb3c4af53bab4a", "04e2b2eab1966ffb0079685baf169d4d7ad4ec8c", "fdd32e6cf03a90bab09e11bb4f1491f570b688b2", "b7664b966f00c382e3c8cec4a806d182ba04e298", "20df24b98f983f4de2b9201af260dbce730ee70e", "e1b3e21281d89b6904da86c670cf7b529ea9b7d2", "3bd97ef0fa74e7fa776992afcb27483b2e77c7c0", "339d7ff06217e5f212ae1490a9a2db55bfe589bc", "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "3626401bfe9898de61716651582f208e260b9c38", "0222bbc30eccd824032c4089ab86d75057048c29", "c9f588d295437009994ddaabb64fd4e4c499b294", "f3062992cb10107b9d1e3699c8a61d5281886c4b", "e0ca16e4fd31e7a0886ad92e3d2c44bbb55a13b7", "715d3eb3665f46cd2fab74d35578a72aafbad799", "e0ac21d1ce795d565a99b61587f78539ed5d9476", "e05dab064bb1753d7c0ddea9e80405661f34e931", "f15afde8e26cb0dccd71c6dacf2a88fd5d4d69f9", "59691415e1d23d985849da0bdbd1c51245710555", "f1ddea510a838300c107194910b8f99d98c07fbb", "7b455cbb320684f78cd8f2443f14ecf5f50426db", "60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad", "28ff4c98b7a922f4502c69003f686fe0f94083a6", "ba9826d9c3b19bbfb4f692110127e29932e3d0ae", "7fbd2cf032ca4f390f1699ec6743f55b60e2bb4a", "ae28b6d0fcdae465d92707c50aa2e20fb7321e6b", "28445005727d68aa2706a27205332f92e2239470", "8f5ca896cacd7603106a148d8763c18c9ae746ad", "627744e969e3881037f6544d6edaf831aae494c8", "10f641aabdd8bc1eb87fae74c63b814d8ef274a5", "2163d8cfafbac93ef36b955cf7f50c8ff589d3e5", "ff8e40e66f42b84d494d09c3726b8492c916ec63", "647191a9992a2670cdf7ec706893bb8dbc17aaae", "5c177cc55835126fc2a240a7ffcd9a5f4bab4fb0", "d54bcfb162a371e4441f207ca005b8aeee3d357d", "9878a29e32a52292656f137f2a82cb6db80dcac3", "8a85e159c0a5f5e8961bace53ed370094e55ba87", "6ca9f4dd586c0d038bd82d22a1e298d8ac00af8e", "583025ab1b1c68937bf58e6d6d2873103b4ca56e", "dcae7a4603897edc9a9bb4236b01c4a5a3b21ca6", "995dd15671993b2165860c54bf5acbbe421c5f45", "400b3e50a977c49c7486b53a880aaee5ead108ff", "0683be899f3e04b8b55a501e8ffafc0484b44056", "fef5ae23381369852a59578afa5d80414de68b83", "10ac8e3cf81b0431948e2f70ccf65a0c931f7a45", "291555346159ba4efb753c057be74fc039cdfa7b", "f402e088dddfaad7667bd4def26092d05f247206", "815b9ac1cc300187f649b2b65f6e34eb7a35d2e4", "18c5adc17572ece99046fe6f6ddff047c738763e", "507660f778fe913f6e1957fe39a87cbf50a52b2e", "0f7e4a53721e78fb2c77259b5f842d99b990e20d", "1f018bb3d449e7f7901f73b85cb93d06201b2dca", "989226e11193ae19ca0d723e902101ca0f4b50df", "ae85c822c6aec8b0f67762c625a73a5d08f5060d", "8be4b7d8d1a09c05411b2d135fbe1590f11d3798", "9826590f8015153a2a42d9d46fbbe2c527f562d9", "ae620eff5ce7aed89036dc1834e175b92be089bf", "33adc513c22691e24d2d4f6de70217894d545f76", "9b1022a01ca4ecf8c1fa99b1b39a93924de2fcfb", "b63d331c081e78aa86fce353097f76fddd9496f0", "6f1a784ebb8df0689361afe26a2e5f7a1f4c66ca", "b3aeb701826cffc7c5f1b4eac618449e0f18202d", "f734535eed525a36348798af821896f319f715ee", "e688a6535dbdd6ce6928bc4eb2978f39628e5302", "fb72a857c85c40d3a4b6052aaa292dbd26b178a3", "7d3c52b8b69faba23990acabb0888964efb52213", "0bb51b6246f31e94bf8db43302564201400a19cb", "e6dbe0c021f34072791e12a58403da095600b1e7", "fb376a1743a62191f9c6d2b6cd9182a7e6223dbe", "5877d30d6d23ca1dc14e84c5a87fc4d68329d884", "de147fb41414273ad7510549ce0352888550115c", "a93ddf304502fa9ca151d61f512e5682b5364d9f", "477caeeb7c953654a891a3011f3bcfaa6a68ec75", "2db06e75cc7b85da07a1462f0349e99f64c1e144", "2176918751052838fb1040a31ad5b948ec7c3e4b", "4850af6b54391fc33c8028a0b7fafe05855a96ff", "5bc5285bba9659f6bd98fdecb97f01a5f90637df", "50c5cd1f0af228beb5e19efc897e691c1493e509", "afe72b961969d8ee6cd0a3c6db217ac8d305e685", "89b60f2b798bc488da4248c9d975444d11b74507", "0a561e6f0aecd182ddaf526220acc75f6583816e", "85192977775e1f1001334a13de5d32736fbfd24c", "32d6ec2810b52d1df128be51464bc43b53702232", "aa019ca2bebca93f966b345bf064dae9a7489c3e", "7af8fa8897c6f1ec1e7f9eadb01f74b48c185588", "4f61c7c3b768acb00da176d124adc925b84b0489", "2fa710fc518369662fa6437707408c40fb87bc4f", "09ef5cd40bc9dcdbdd2d3587b0efe25551d25618", "8f74743ab435469ce35c17b07a97a19da1b77955", "f1a746af4c82585f2b9d7b9cbe1c23c5cf5e3da0", "0dba5f321a154fac2f18eff514800e600d82e078", "8000a92c373903a8a2002e279014311ac56ca05d", "2e54c4d86e9801af1663265c0e42938358e8eb13", "3159647c04ff22945a534a48ba592ffed55615e9", "edae4ef18810e766a5f0d0515b9e75596ec71548", "ff3eb95772b1aecaef8c609f9153cefdad65f896", "7004cdcd2995b321cc5988ac3f3a0eb72e425cf4", "e010304979c869d6084fb3ae902e48bb44f5fb73", "b1675b1832e1d0a538af4aa7c66bfddf63176855", "ff1cab3d74173176aeccf0f27d5a4973811875d8", "c394a5dfe5bea5fbab4c2b6b90d2d03e01fb29c0", "77c220415797164f44a0748403a07adf6d9ba4e7", "6e2e6a0bbc3b82645b83a383ddcb513a49538e98", "0bf4b3162b9bd5fe707e6a9eaaa46d79a9199fc9", "1f3e4ca2a9000e75c07c63e845af5d5dbea19a91", "5f9749e84735579204ca400944e7e640955fad20", "b859c7b8d9db3a952479546901aedd059ad5248e", "45d26f93cc6bbb33d29eded4819cb1ed0ff2458e", "3f0f3c2bc151ef91959b06442b9ad80d405387a5", "516f5becd2b673b349e0232732989e1db6db29b0", "1060e223710a9472ffa5bb68bbb4d629014f7dbf", "8b88d05ed47b93bdb1350e7d26b3c47c9817e624", "3bef3311fade98af233b4f68d9ac5975474eff8f", "fef5c091b122c715387d61d4730e44476ff9c8b1", "3fbfe79299b44f52d7e758406042240562f18859", "932d67d450e0541839a72e2f4228199ed08563e3", "c1b5448aeea9ed22e638901c0b54ff7942e5467b", "fd23502287ae4ca8db63e4e5080c359610398be5", "27c9cf9983f402d823d1414d7f19bc2127c70424", "09e9ce783864171868a8136dcd8644e8aa8910c0", "0e61d3e6e27159e51d3e7a0813c784e95a0ce7cc", "37f9637d72971c9e8c3788ba16b00e07fbee97ef", "e562fd7196641aae0d2452249a9dc87cdc92c972", "9b59a44f9ce90b1dd4a6b07242f753dd17d3e25d", "19fd0c7217bbf0ca4730f240040e4cfe7dc417ce", "3b704045238b116920e6801010a39b31c8884178", "eb5846662a1c15293679d5fe39d3f2297b602c6a", "f8c328104d27d7ee6f0ab4f63b1b3ca9a7ba0531", "6e6ecf7b1ba51a5f67d044cefac95f92d142edff", "bf4ec5068e6ff0b008a09f0c94bfaac290ae7d3b", "dd0aef0d44e740580212d6efb5286446494729ba", "de6ee9a926b481d60020c86467c3c78b71b4a436", "290bf96af4c6d916f4d2a533244d4918492646fa", "21439d5ec155b8a66d02f35386a5297c8feb52f1", "1362b43a76412ed9ac67fd182a72b9457cae5aed", "f69def801bb24388468a5c3c2fae3f613cfbc6ae", "73eac341e32f90dc35245496bced04a8bf0a03ca", "51c51b8aa2ee43aa3834c5aa5d6e051877e8c423", "e7d80ba5f259f52f77cd38d7fb83f5b751a87022", "a45eff428adb22acba8984d4de95116d1f9b0920", "866213354ef2125bac035e026f86a6af36218c8f", "cbd65299bcea07204379a2711c22fd9062172b86", "0ea59d57b9651b7aa1c47ca96bf77bd65513cbdf", "015c231d25cfcb4b0126e2b4e17659630d920ee5", "c1177a27ebc50019abc46b4c316ab2e8eac2d694", "97ee35db6b389a7bcc4b7975d12dbcd165226aad", "fd6e1bad0ac7e1e993b12f82e4375762ef8321ec", "1697edc5c23feb0f4a0854ab736bb95c3a2245f7", "ac709c72bd3e052adb4c9f3ad7ae234653f15196", "42c40c668b5c0c28f63915b069641100f4f0e39e", "a32fd69ad24abfe416748c8043dd8ba0267b4516", "62da0b7c15387af920c72e912f1f796a71f13b76", "f22e5059bbb1cecb30665f8c60369c3e6b20b130", "11e6cf1cbb33d67a3e3c87dcaf7031d6654bc0de", "e8dbcfcad17d9f71fbe9cb175061fd43f77c1e6e", "12fc800d955f137274a8b51bd7d2c46f5f7d7222", "dd0dc94dec9f31ceb6f3622e7883be1d3cf58abd", "0f07dcf92588945eb0d70893cdf0fe4a48552763", "8de4c9c601c3385712b068e328871a99a4f32479", "35ba4ebfd017a56b51e967105af9ae273c9b0178", "5e5ba5acc7a352f455c228d860b7981b3aebc20a", "026502c90e38697c0b8f9c4424571b7c1608296c", "703890b7a50d6535900a5883e8d2a6813ead3a03", "0c6a262bb71c3a382ff96c3fb5878780de534e4f", "410ad524c2d9b0f833e2aee87a35dc2efc9c8b01", "90d9a0219dea31504fa3ded8bc5a7bf290b6da77", "7e0c82b3225a12752dd1062292297b6201ca8d6e", "993023a4859f9889f30fa2625790ccfa4dd4b1b3", "c3433a02ada61c5d234ebfae44e9ac7ad465cc26", "e9e15e987d3fcf145ad3954ef3edb718367554d3", "b46eac8ef1322bd54b0286cc4f1130a15c9d51db", "97b5d089fb6c7960c54aba50d31a70f4fee824f9", "1eb0ea0db58f530e76fe5bff1b292184126f33f2", "b18bf817aea1f9b5586be935c91b55ff9f4d01f8", "a07c72ff14394b4ca17ab5f7c7a431466dbd59ba", "0decfd45e944b059c177041151252e9f2d676c93", "160d14d4b3248de3a9f95b9e38f755fa9d7fd997", "4c141534210df53e58352f30bab558a077fec3c6", "3d727f95c6771cba6608eb7d3900b25e745659cd", "9de60e4de904863dd22186bbfeff45ae4c161823", "a41db8ac270df8f0dfd51dff30a7365b3e649bb6", "71ac84476210b9bb40e8f3f069dcee94df214c8e", "16649abd95c7329ec800daca37f20483003af060", "00dfd58bbaff871603e4a8aa81e67915b0675aeb", "8c1b20ea97f5be841165b7023956b44d7149fff9", "61187d8240e1ab48627846ff0fcc49cd639aaf88", "7460b91c3f0d8758e621bc8cc77a9b34dbc962b8", "c89cefcaab0b24c5cfd1629156208faa88c8bfd3", "bec2c65a8419b9ecaf04e8c854b5ad391894a6f1", "57d84421b0aec884de771f67b14a7a55fbc19b29", "cc67f1cb136338b50968faba237222193af7202d", "44855e53801d09763c1fb5f90ab73e5c3758a728", "0dfcca18d43d906adc907562c59530712b013519", "05b435174d24b14b17df4ce5af79dc6086a2b16f", "18bf90d6f77bb3731cdae14315c0cf4724f0e6c1", "2bcf2bd59219d89f335cbc8d1dd4f431076b4c4c", "7587a09d924cab41822a07cd1a988068b74baabb", "9d6e60d49e92361f8f558013065dfa67043dd337", "6d61d9271ef677c0ccaba29c5fc5d395dede99be", "3b5128bfe35875d0cead04b7d19024d841b605f9", "853e6d42fdac36a60887e7e3c2417f5d3f26c96a", "30044dd951133187cb8b57e53a22cf9306fa7612", "611ef1f3febfcf7471a5f9164b1b6e2f3720a9c4", "48e1f2d79be1f63327bf63957b01d3954a3e6d41", "90105da00ca0e80c1e90506c8fbdc88d120198b6", "d9f0640716ec25278e6f1a4fdda5596660504c54", "5948b8282c542f8c085d8a78b5b5a075ef80fb24", "a760c4e73292e5ff05b973bd691977fa4e0c5b84", "6c05dc34acb51081469f812034d017372b1c3006", "f281826ec229c67acf772b403b1649c88ee79bcb", "d0597bc9d213875a3b8aad90f6af81168674c7c0", "07f931e8b601644c70215bb94f196fc662fda98e", "1395f0561db13cad21a519e18be111cbe1e6d818", "fb3875056c365efa18e0d96152d177ee677c101c", "20561e7d040f0b67dd820d49c926ac32ff170f24", "ebcbf14a385816fbee61aab792bc3b0e51b283c4", "684971a37f413c8677c42b084c2fa51884277f26", "19075e854e29edce89a1cb39167eb1af06b86fe5", "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "14bdd0ce8bc490757899fa8353b6576b87c9f3e2", "ebedc841a2c1b3a9ab7357de833101648281ff0e", "ab5768dd3c6575ac29df5d701ed483026f8e0bfe", "addab6e00b0c79d89c5ba177ac316e7d175e4427", "872d4a892b17f642072da657195a7aad3fcee965", "87ea22438e33fd98a5bac577598f26a6a02cf8a3", "158a8037ce1c577620550da385d2275a31b9ccaa", "802f377954df39868a157a3daab31a5532742ea9", "6229ffd8d2df3b939e7298f6a89ac0077e7e1951", "08c597fd8cd60316df2f74a443f1b87e3fcb6c30", "90f3c825c248b258f1336d0be6d0f8aac3ab8303", "d941ec348bd2c37c8d9cfff1997b6d3a409e1410", "cccacbc43585738fb70140ee24df8f09c6789274", "9ea11fa479795c5c65eafbf566504fc9bf7557ba", "84d4aa3d67609c5ca637e2e863a1b32e35fcd1c2", "04699260b8cc94fe97113548c145ee138d1b2573", "84809d1e4f88a82755226f9d278fe8da22fdaa68", "ac0daabb618ea22da9f9090bff2071468b9c57a1", "b77902ec075441e71a3698f6c0c9dd704f2d5ad6", "01125423805e2d140ccb96f33c197ab97f6d4902", "7550d35a633140ddeb863b7dc45c3cfb120a95f2", "9880e65a42c680ca00d2726f458f0f1d80d7e1fe", "5870c417d8cbcafb8c44108b39f631b810b5e13a", "651f4a561040ca488470ade6729b92f49ab7a59e", "39689bd427f5668a8fbb3113019c2b8393f0b1a7", "fecce467b42856eadb8dd0c08674d9381f52efab", "655ca5ba88c08dd9916a779c0db5829a50da4d7e", "52ba3a4a3667a1d00a51e3dbac6c33f6b7509d5a", "22deaa0f2e8e054caa47e2a0969d875d2c8fece9", "a49687fa1d90825e29c9a6824ad419f86d327d04", "5522073ebd53a6502cec9d716a77bb2c18aca593", "7f2edf4c111698d237fd967f6a3c9751d9a25543", "592b108b241d2d062c3035b6a5ba827180885bb7", "3fabe1a353093a63b172257209fc7378fd5e03e7", "96b4124cf7626301ed3bb2d2b2233a490804e35e", "d17bf14994a7620d8b14856501b809a85beb6407", "b67e695a0543e44c694a3ef7b7ea98505905db4c", "93af72ca7c97b0122ab75954cfa46d0f9fdb2b0f", "7ecc14967e36d999542d82c2905031e4242217bc", "3109c36a10f2ef3f2368018a4125f5e2981b1918", "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "4320f25686c5be1cc3a5f27b45e91a4f34b3fde0", "103590b36d026928a90eae7ade9d7da318202168", "b59075c420015e91971333c06857bccd97a70355", "3d5f8847e52a7082cbae49003b17b793755ac401", "bf2b886510c9a932c41348a60d1b9c843bdcd544", "81f9f6e2fe3f9079b98b8b9235acf3f55e71bca3", "f84d74c44591c948d50c8943642e1a5af23f61ec", "fea91c6166d7b37d902147e93e8118f92b6cb6fa", "830828a60007416cba8a779e30660572e5ff966c", "63204e48ba703806f5c8947a3cbc4e456a9080d7", "7245ff279081c1c1dc43d50339529553c7c40c31", "766f98300e11d98841edd448018856dd420de2e9", "565a55ecd94713cedc7fdef0cc3c7577941a8756", "af2c07de7f93d74d50264c5008418269431caa01", "5b8570d810f6fbd0bd35a9f43c4a6017e341713b", "5ac9bf91127255820e6ac53fe656859146bb424a", "1cf74b1f4fbd05250701c86a45044534a66c7f5e", "193a93d1291d9c12a0c4a159729bf9797267ca3f", "00786bb4605f9a766ef6d20606cadb4bb1c6eb10", "006415b0ae3ac6ff9a2b482bc3d23ad15e8f09f2", "7ae0212d6bf8a067b468f2a78054c64ea6a577ce", "55e57000d286e7b32634f5a831e67a3c73c66c00", "4dc8b1c193c421f8f570c0a7eac2fc73da06cb51", "25087667f2549da9874574a7589e95ba8ac41d41", "6aef7b35776ed2b86b60af096319b9f4fc7f37b8", "58730d87a71ee10353cc1a44f1fd624fc93f4a6d", "53d62069f115cdcedec90ee6b7249281039f8272", "528a5a134b1339102a7286ee1fbbfacc94ab82c9", "16e95a907b016951da7c9327927bb039534151da", "8a9ad52db203f0090c83568b31cfe969b870cdc2", "ec06832fe5b4c0629648824414c9de1555e976d4", "2f7e8efa852fd63ecb0db98767bd5d170a55fc79", "05fd17673f1500d46196b0e38857eb3eaf09296e", "3a4ecdf7d73b0fb392763048aa834a537a495537", "b7bc6a2dfe99668457b67007400f5ab760386d0c", "524fc6c73714c91d7ef2cc069988b3b9b3a87c8f", "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "52d86a69fb186f521202a8c2d8103ca591762944", "d2466d6db8997d4642acd280cbc2e578e0093e82", "5d2c621c4643f2e71645f61a5f9fb0ea140e704f", "3d5c4c24ae883f2434cdc352ad7ce8c2da8da998", "6d2933c8650ea54a43d3845f4b960ba2846bd77d", "9e33f7762a90eb3708691aef67c45ae7a6cc5d41", "7b65f1cd8b8bb5066bc8bcff0e49e3ef80e451de", "db056590e54d7be16fb1c96deb9e94914ea9f838", "6149f92d39acdf89e6725dfb611bf89ac22c88b8", "23a40952e047ec9bff8754231e0305477fd934a5", "7c7b0550ec41e97fcfc635feffe2e53624471c59", "1f57a427072604126ca65e907f985534289ffb73", "5d2a01e3a445a92ecdce5f20656fd87e65982708", "8142bf5301391bc81a3342303c564847616e6c8c", "d84991a2f0f01a1fba4953a289d35e66bac86168", "924005aa69a813b2bcf0a0a1831b9a5055c2b8db", "1a7662e3753f9b93983b17b177465a9ab64febad", "0fcdcf8c0474b3f2ce5616880540c1a757f1cc7f", "6ec07affa4b4c25cd92820f84b997b13056cf354", "ceb02a8f874c84ece88fcc7be1530a581b1cd1b0", "6f80cb31194f2fe16157674af1f42ff861c40ea6", "0ae4ce813268a669a1e7770181dfdf555dab728f", "90d289c50651118da0cbcbe8de17d652c1638033", "0333a649d5139aba4447af945fbbc747c90437d1", "25885e9292957feb89dcb4a30e77218ffe7b9868", "05fdd29536d55fe3ad00689b6f60ada8bc761e91", "b0b07732a9ab9b2b9d9dba41e1b9811629fa43dc", "8e215dee77c1638796ec10278e89e3a0ea53bb02", "a3c46b343ad825fe26ad073c151067e871d6937a", "302481da0e6a386e1eabf914e5cdd1dd61d06d3b", "7a9890cdbb62a60ba88a515655535151b568bc44", "004c32bb72c1b8dcc612c1bf9eb1e817227aff97", "cfcaeb8be168d30679cd40df2c4a6bf54a16c3a2", "6b2b7c5efae0bd7be3156323cad75e10fe83ed66", "8b1b0f44da58cb3f9e7e956e5a588097b1276a58", "5ab1c3fd7604d5e90b657e68de21b15353da950d", "50dc0ec4d30e67ed0065c707ddac407a021fee34", "1c495071381225825fb51274b4c7bd81bc535d73", "55c88dc930fec57cc92bbae3630008b103fc4c48", "3c9196c3b7c09d6d7f323081b94d9f37a4f11e65", "91be8f9102a4806ed70bfaf2d27d5e828058b250", "c5670255893d9c3de844f6e207299251a0ba557e", "8c3cf955ebab27eadcbff6d2268597770617ce7f", "b2c6c1a4477867fec7958c1fd62445e0e36fdfd6", "3426fcdc36a52fe11d8c3168397f408e0a93c9e8", "29d1542661f85b4b96d776997f12ad92da900933", "268ba4d429a62ea779756723f2c60e144cc452ee", "42ef3884ff691871ac38684d6a785f4dcdae5425", "207fb7b5176762d8ac6308d922882a99743299de", "a6c2a441a13b3638d2d1d734d7fd50c739819bdc", "09dd9850767dc8b28ecd6bd912984394ce1e5f4a", "cd2a47cd2312cbbcd57b60f68b5990165777f92b", "bcc00dad540515b964eb676c302c5b8bbc3a13c7", "af1325b1d144a500babf5e9d8cab739bcb62ec70", "21a1654b856cf0c64e60e58258669b374cb05539", "522727c880fa8d13b4ed352c24ba382ccd9a97c2", "decdd2f8918a2ff9ca6e9e2fb79cdd9a326435fc", "004ec63975a5ffa306242025df200fe70d2a5c5c", "1ca5b8cc60880d70bb65c26f9db24e98d91e6202", "83a89f5c778a2e7ed7e6327a5b8fcd9558533928", "e08df8c2fa54da58ec067b9a15cdcfb01b88652d", "00c5f0e7cf224dba123ccc3691bbe7a81f33b5f1", "1256f432f076e0c467bd4df8dc5d47656e259949", "faa29975169ba3bbb954e518bc9814a5819876f6", "181777a21cf272d98fa21d379adffeabd3334bfe", "6ae4fdde916aa705cbc5ff67373acfb9679d029d", "88274f2351f3c6006809891ed405119205a790af", "5f7cfbe53d87e5a0b1fb7df326b86f0c3b199173", "f85d2b8c1036783a2ce986252cbdd0d2fdbeef34", "5c48d6ea9b022c077b1873ec48ea4f37a91ac77a", "2ffd6937278d4fb70a15af858ea3cb0667111465", "04bb1b063d8cc66880fb3769d2d1d80ee9f54148", "0e7d8ae484d8a0ecf65855dad9e7514730b4e07f", "2ba9d72e7f87a458a06bcafdba68ef7abc1c68b5", "0884faa227e66a1e66cd9560a77ae005b85bfb96", "62ea69156fb6dae352aab02495f1de6f1c8fea15", "6dc9dd3043aa08b4fffcf32d0e8b28a746a2704c", "88e63dbbc1b3372a38e2c3993702876acd5bbc20", "2d69b3965685066081e533b29fde3364a6cc21e7", "649d233be3e53361264f1d6500ef9984991c9121", "0fa077478abea097a1b74915ccaaeb4952eaaec7", "fb0aa3debfd29cf867370e83ca780b8428d204f8", "d5b358b9169a8fc0a505ae5a4616253c43bd0293", "10b2ba83c2795c7c09d27d02dfd741728d201d3b", "23a955b33156abc9879d4d310c8f5a361a5e4ff8", "fa53df962851d5c427cdaff2b0c520ff92d2fe28", "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "1d07b46783b9006ecdc65511c5a07b151519db6d", "9dc4dbbd959d380be1eecae2beaf5d7cea4a1813", "2d5708571f412714c6e8d0a4399dacdf83efbdd6", "cded5fe6f27723d5628ac4ce939b41e0068d175b", "327dc2fd203a7049f3409479ab68e5e2a83cd352", "2a899b74b5e350c299914d5af0f45d37ad1cb5a9", "18e30924b4845c3ef6a9e3342fdecbc8029f7fc6", "685a4a70f9c751bf30d721550cf2820688b01758", "f58592051db1f5d300d096f2cd7869258d2de9d8", "a80fb58c8be0ce81d146faa0abc1d605eeb323d4", "85a04f28c1696e33ae9a205dbd7531c97916eb18", "0d4cdadd765c3003b0bd5f762b84bef93408f548", "941e4b73c8f9931f0a083494fb8cd1fd6e860809", "4b514c4ec95aa1fe0761656d5f912fc114f15fdb", "5cbd16cf9ecc3ff042c8a239c78efb23d218a099", "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "7826e0b07c3b3bd2adfcc6ef8d5afe88876d04d4", "e429c9e38b98a1f0cc99eb890d6789ec311fa42d", "8189e4f5fc09ae691c77bbd0d4e09b8853b02edf", "31a88e7656915026470d54acf7c154f030c9e945", "4aac0ada9b1b48ba822ed613fd9589555625c0e0", "65b2bf978a404da453f03db80fcbd8197ae0c99b", "fe2948ae1064b2c4e3324193fddbff1e4ef1664c", "35e2fb4a72656cbeb2e9afa140fb01af03815202", "9103148dd87e6ff9fba28509f3b265e1873166c9", "220ce8b5151900e994b79ed515648892ff6c5368", "7edb02ef21a9f232de8416b025b17cf5ea28d17a", "c684d188a28f77483a7ca9ee0653bc5105f2106c", "7feff9a8f31520310ce99ffd591178feacdd98bb", "7c61d7ccba6515b8e07806ffb57caed6c71d985f", "7da8b91918a31bde58eb6ebff7a5b8a53c0f3fe7", "614eed5581f342518aec87988f310ba01290378e", "2492bb313093cbfe885d1f3f9da2feba4923baf5", "f131a654bbf4c8de0679d3c6054c10bba4a919d4", "a57ec5c04d09f236aa0e5f85daa5b3a107dcf228", "1a9843457d3ec24b461b0d2619108a263d6a69e1", "3247610e9ed42c773113f6f6d75b14a4e3188ad0", "bd26faef48080b5af294b19139c804ffec70825e", "d6c936f270cffd8d63b57cd7c6c31b0d9c6e32d3", "962649e2fbda0522406d7daa14cbb6145ca03b42", "aea81017c4fb7b9adef21adaf776257f4a790823", "1768adc713a6e91e6ffc2d79f119ad0ab538baed", "293316f4640321fd47210fe832de4ec2895acf2c", "26232149842de7b063f16e203eaad102e1b8cac0", "491208ebf5d16ef89187a0f479d26e97da1c9824", "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "0ad17977977a5ed3219e763696c6b4267b36c1f4", "4cf343cbd28343ff44fa15e4160c58a2953df5d1", "8240b5f9679d8f24eca071a886d9f40796f0799e", "00b370765678c44acd5313f3946b2431890721a9", "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "7f4b3d454eb5a940a504c1f3a3b18d6992c5f7d4", "1c9b9f3b3bf89f1c051c07411c226719aa468923", "83dc66111a95d954f371b4b1442b74d6e5892060", "1aeea66eae8fc452631132785edd1a607ee021cb", "e12d0dbfdeabc35a8458b3ad9a1179419acb7f0b", "523b084f21d7b9b6b46368be21e3f769745ed516", "6771548ec1b369d99cdb2b2c9b56526cce1935d1", "77518d7e11f9d106dd989a628bcea823384321bf", "6abdd7c4dea2d5d7ff82cd5e6e503be1589861df", "4335f5c43a3a8565504e11da740adbc98a7a7625", "35e3f6a9a92cacd53a36ba71575ec3831d227d87", "294e78ee5712781c0e9edf7d9ffa897cb97d2db8", "b3004f4ddb8948a081035dec9c4f7f40205926ab", "8108a90e2427928b943eddea1d1e5650d9cca9e0", "9fcbefd92fbb69cedc134031bf196b79a1e0a150", "cfa02e0a093f4dddea9c304b4efbfcae10735580", "80433f3c41f383abf495ff2b368616af6d545694", "2ecaf74183e31358aada441707897e12aaa11eac", "49c2ba651bcbb8aa7a84160676c3b478535a657d", "bb4ca5831eb8d913eb3583c9907137a9cdac0599", "7f01665ee355c8d016eeb195583bcd31b4e189e7", "83a4987ca95b56a97c3751641e59f8891a911657", "3be45f3e3aba46bcf1e2d3ae83ed5f63da53272d", "2b7132b528a61f345a5b4b39a728e9a6da0c3193", "e080b9c905624bb9ecaf449ce211561ea4832656", "7c88f6763903c9601695f70aee5efcea1818e9bc", "b128011e2667768ec195b778a997ecd20f99160a", "7de79a149568048db336d92dba9ea5ca54145628", "f7ab638dd60908df56392285ed4afe29de757981", "985cd420c00d2f53965faf63358e8c13d1951fa8", "12fd613bc68101176d8fdf1b28d4d6fb3e3fec6f", "ba8f87d3948d550fd3934d67d06f35f8ef31de11", "3569361103331c185c681f50e8d23058ea2aad7c", "ec12f805a48004a90e0057c7b844d8119cb21b4a", "b28fbdd8530844734036e059e1ce7c985c8124ad", "a315600c54421e28c14f938431babad7f4866aa6", "1bd1645a629f1b612960ab9bba276afd4cf7c666", "38a61c40d6a8db8de6e8622e8fe72641db9aa9ed", "1042683cf5733244238198ff486d3a65e70c9621", "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "99783c792947f17e41c94ddaac31766277809049", "d922d49557a0a29c1186cea64f02511663455c82", "574f05ab2f135fad33ccbde85debdd12bb41bc87", "2e7b716a0e5e79b1888a3ff19b701aed34965282", "3a1a70ce6e785d527384f4e138120ce251092caa", "705375260ffd0ed261fb6a85d57126f7537bef1d", "f03cbb8d0134b0f5d71c15c893e479f157e86365", "233525037d8d0e3dbb34ba961036e3d0478cd8bc", "4426c75458a0769d9b157c100f55edf28a09825e", "40f2560357d19e3b862a685c05cd5b48f3cb3961", "f94feceb5b725c6b303b758a0e5e90215b0174d3", "176b1ca10b3e109d0e65a59ac8f29f1bfd60c80f", "663ab3b9d5c60a49ded3977c8770911d57d754e9", "3d24b386d003bee176a942c26336dbe8f427aadd", "a3f4f163e87b28901389e189bb7f0f655995793f", "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "fe5679c183cb432894d111bf02cc3243c89762ca", "834e738ade61dbf19bf8a7059921da345e9d5529", "1bcf0868ca925da10f5b902664dd05a783724997", "fcab5a9f26db32982c12fa5b72d22ec205da7c7c", "84a3478cf884b0cbba480c7c36dab565e778094b", "33d076ad8ecba15c61d5ee8c3e2623d23f73d396", "1f8f0abfe4689aa93f2f6cc7ec4fd4c6adc2c2d6", "3643559e102e8c2617592583c693f26b36030e33", "63dbeab986260a7e1f04ec585f9aed91fbbd8f40", "6d3c8c5869b512090b1283fba28f01c2748b0ebc", "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "00a80e0e64c0b65bd3f19e865dca022e0dbeaa9e", "db7eff018f4a57a8cd02fd394eedd44e6e399a21", "4cd6f20db45cdd3a21c08e1a56754cdf98d070a1", "0cf8443bcb14cfd6ac5bcf0e3775c0aad45558b4", "81417cad46f49347d0e678544994f6eed027012a", "4e18b48f0e745a7df7c7ffb7a4df96ee07408d97", "ad6313f284b081076c006d301124d12ba24272a3", "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "db39754bde43c5555d7086261d1a6fd55af7de06", "a84934a2db769b7523399c8eaf6d2d7582415c5c", "26de18130a3d5d3324b3eea83007157eb1873911", "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "dc2f16f967eac710cb9b7553093e9c977e5b761d", "7a65fc9e78eff3ab6062707deaadde024d2fad40", "cc757b23ab825f56d4612283d9742ea236bcd360", "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "d7fd3dedb6b260702ed5e4b9175127815286e8da", "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "02138f475677ca1f9a5919870a78a3e4518b395a", "56f86bef26209c85f2ef66ec23b6803d12ca6cd6", "984edce0b961418d81203ec477b9bfa5a8197ba3", "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "3e19d36e41a8040df26929f19535e25dcda40d2b", "ca011427853d34ce4ec9ccafde8a70c9eacc3e21", "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "24c5b0b2506198bd89d492145b6176a6b1c999e2", "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "0a325d70cc381b136a8f4e471b406cda6d27668c", "07a1e6d26028b28185b7a3eee86752c240a24261", "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "458823c4a3be58dc188cf314113b91209017fd3a", "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "0435a34e93b8dda459de49b499dd71dbb478dc18", "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "282503fa0285240ef42b5b4c74ae0590fe169211", "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "eb4151eebd0b7451ca990b242cef8357bfa9db92", "29db16efc3b378c50511f743e5197a4c0b9e902f", "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "6c0ad77af4c0850bd01bb118e175ecc313476f27", "bb33376961f6663df848ae9bf055c9afd9182443", "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "be0a0e563445119b82d664d370e646e53e69a4c5", "31ea88f29e7f01a9801648d808f90862e066f9ea", "cfdc632adcb799dba14af6a8339ca761725abf0a", "17de5a9ce09f4834629cd76b8526071a956c9c6d", "16d6737b50f969247339a6860da2109a8664198a", "ac9a331327cceda4e23f9873f387c9fd161fad76", "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "8355d095d3534ef511a9af68a3b2893339e3f96b", "c5fff7adc5084d69390918daf09e832ec191144b", "166186e551b75c9b5adcc9218f0727b73f5de899", "e295c1aa47422eb35123053038e62e9aa50a2e3a", "b18858ad6ec88d8b443dffd3e944e653178bc28b", "635158d2da146e9de559d2742a2fa234e06b52db", "0c4d42abe48db8d4ef5619031a179a9465b3e0c0", "771e27c4b53f58622e6f03788b5102e5e70b1e49", "10126b467391e153d36f1a496ef5618097775ad1", "eb6ee56e085ebf473da990d032a4249437a3e462", "81fc86e86980a32c47410f0ba7b17665048141ec", "3be8477ef3596f089c74a800a5e5ded500ad67e0", "0cfca73806f443188632266513bac6aaf6923fa8", "6e177341d4412f9c9a639e33e6096344ef930202", "7173871866fc7e555e9123d1d7133d20577054e8", "b910590a0eb191d03e1aedb3d55c905129e92e6b", "854b1f0581f5d3340f15eb79452363cbf38c04c8", "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "24286ef164f0e12c3e9590ec7f636871ba253026", "625a8ec3e6cfc5fee0962acf09023b6bb9752ed5", "e5563a0d6a2312c614834dc784b5cc7594362bff", "3a05415356bd574cad1a9f1be21214e428bbc81b", "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "cf1dc9e3b7ef7f80318a14a1667139a69f404f6f", "aa6f7c3daed31d331ef626758e990cbc04632852", "d278e020be85a1ccd90aa366b70c43884dd3f798", "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "63a4105adbe182e67d8fd324de5c84a6df444294", "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "62e913431bcef5983955e9ca160b91bb19d9de42", "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "9755554b13103df634f9b1ef50a147dd02eab02f", "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "b161d261fabb507803a9e5834571d56a3b87d147", "7361b900018f22e37499443643be1ff9d20edfd6", "12e4545d07e1793df87520f384b37a015815d2f7", "4f37f71517420c93c6841beb33ca0926354fa11d", "92d051d4680eb41eb172d23cb8c93eed7677af56", "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "60cd4ba089d0b078cdac0db311099493b55624d8", "1fe121925668743762ce9f6e157081e087171f4c", "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "321db1059032b828b223ca30f3304257f0c41e4c", "80d32516b736a38a896898e62f6b3228870b4c67", "e8951cc76af80da43e3528fe6d984071f17f57e7", "bc749f0e81eafe9e32d56336750782f45d82609d", "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "017e94ad51c9be864b98c9b75582753ce6ee134f", "00a38ebce124879738b04ffc1536018e75399193", "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "7cee802e083c5e1731ee50e731f23c9b12da7d36", "ba0d9e1e8bc798656429fe7121afee672dddb380", "7aa4c16a8e1481629f16167dea313fe9256abb42", "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "cb43519894258b125624dc0df655ab5357b1e42f", "ecfb93de88394a244896bfe6ee7bf39fb250b820", "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "9d4692e243e25eb465a0480376beb60a5d2f0f13", "31f1e711fcf82c855f27396f181bf5e565a2f58d", "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "8879083463a471898ff9ed9403b84db277be5bf6", "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "1e8c8eb8be00fc05643d8370efe0aee176345230", "185263189a30986e31566394680d6d16b0089772", "564babec16b895d385d06d38545febd66ef02f35", "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "8a6033cbba8598945bfadd2dd04023c2a9f31681", "4ca0f009594150a760da17c5dbb71107e206834f", "855184c789bca7a56bb223089516d1358823db0b", "786e57ed6877dc8491b1bb9253f8b82c02732977", "0b8839945259ec764ef0fad47471f34db39f40c3", "66e57fe8d2bf08b5783d333c1870591b23008850", "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "4905323aaf61952e07f62c18fa662c7da895e40e", "e649ec9be443c0a58114a1363a34d156cb98d0c4", "63c74794aedb40dd6b1650352a2da7a968180302", "8b38124ff02a9cf8ad00de5521a7f8a9fa4d7259", "8e24db957be2b643db464cc566bfabc650f1ffac", "65d6b73c2763fcdf7ea5bb9a182e5fb167572b5e", "01e27b6d1af4c9c2f50e2908b5f3b2331ff24846", "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "bc704680b5032eadf78c4e49f548ba14040965bf", "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "2c615b77350b936ac2c2479f6473005b882c6514", "2a3e19d7c54cba3805115497c69069dd5a91da65", "a60db9ca8bc144a37fe233b08232d9c91641cbb5", "120785f9b4952734818245cc305148676563a99b", "84a0f6db2b7155a83728101728794713898a859a", "07d95be4922670ef2f8b11997e0c00eb643f3fca", "7d1688ce0b48096e05a66ead80e9270260cb8082", "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "ca537e1726a8d8c371a71bbd6d9098774ab51955", "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "926e97d5ce2a6e070f8ec07c5aa7f91d3df90ba0", "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "8862a573a42bbaedd392e9e634c1ccbfd177a01d", "3d9e6f1c3acdec5186d52dcc8fa7c3e2cf4ec2a1", "0f257ae1829b3250723a87781373d339308ea996", "7789a5d87884f8bafec8a82085292e87d4e2866f", "4a8480d58c30dc484bda08969e754cd13a64faa1", "ad37d01c4787d169daff7da52e80e2018aab6358", "466f80b066215e85da63e6f30e276f1a9d7c843b", "4dfd96f456f18bf678158d158f33929c63b438b8", "18ab4e43e475a0a066912873c694f998ffe1a37e", "78f2c8671d1a79c08c80ac857e89315197418472", "289cfcd081c4393c7d6f63510747b5372202f855", "889ff5c4001f2bf88bbd54941b15474b8273eaa1", "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "293ade202109c7f23637589a637bdaed06dc37c9", "3f549b21834844b5db1531670c34eb06e2c95e61", "ec1e03ec72186224b93b2611ff873656ed4d2f74", "b45a9f95980c434582c920bf15a8099ec267c1f7", "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "48734cb558b271d5809286447ff105fd2e9a6850", "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "38cbb500823057613494bacd0078aa0e57b30af8", "afd3a6dde8fa3b330cb146678731b150213ddd95", "5fb59cf5b31a80d8c70d91660092ef86494be577", "2fb8d7601fc3ad637781127620104aaab5122acd", "9ab963e473829739475b9e47514f454ab467a5af", "e6e22d8505b98257af88d5dd1863d6b805128913", "254964096e523d5e48e03390ce440c9af337d200", "bae86526b3b0197210b64cdd95cb5aca4209c98a", "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "ec27b3d1548909d3f55246a388d768cf51e65802", "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "d32b155138dafd0a9099980eceec6081ab51b861", "0f21a39fa4c0a19c4a5b4733579e393cb1d04f71", "74419de59b2dd7d0a16484aa2aac621df514f5c4", "f276d79e428183b457875dcccf2442c7832093bb", "734a9a7f49468aaaae0791a2de199048aa86bb46", "303065c44cf847849d04da16b8b1d9a120cef73a", "40ba04ffa68721c8130304ed1947bb092b6a5bff", "ee3d19879bec7b0b5b4131360be9951188b7ec60", "37030b9fa13d2e192afaba780010129f67ae74d2", "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "c335a560a315de7cfeadf5b0b0febca837116988", "6932baa348943507d992aba75402cfe8545a1a9b", "87ee56feefdb39938cda7f872e784d9d986713af", "12095f9b35ee88272dd5abc2d942a4f55804b31e", "7492c611b1df6bce895bee6ba33737e7fc7f60a6", "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "e8c051d9e7eb8891b23cde6cbfad203011318a4f", "1885acea0d24e7b953485f78ec57b2f04e946eaf", "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "014e3d0fa5248e6f4634dc237e2398160294edce", "4848a48a2b8bacd2092e87961cd86818da8e7151", "9728ee87f70f5b5bba55e417a3b2fa8bb90a9569", "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "3727ac3d50e31a394b200029b2c350073c1b69e3", "465faf9974a60da00950be977f3bc2fc3e56f5d2", "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "31cdaaa7a47efe2ce0e78ebec29df4d2d81df265", "5b97e997b9b654373bd129b3baf5b82c2def13d1", "d9dc41d3bc92e194c5a881ee9d741f898310ce9e", "758d7e1be64cc668c59ef33ba8882c8597406e53", "1b0a071450c419138432c033f722027ec88846ea", "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "9461ae046dbbafbad095bbbc80d0b9e5931f6a72", "827fdecf6a292cefb21837b9d11533a0e40f9e08", "073e98d1a443e7b5f8b65903f18cd05a2b884400", "a5985dfb2f90cd34d83613b4872ac72b298a876e", "4519b43e0d22934a2a3035d45f7626fe2e77643a", "54eef13b3fe487cc48a74faf8f486a312f545cc9", "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "171f8f1090ef0533ff470ed5a4d31ecfefcc74be", "ff34d1ede03e99fb4694961d458bf0ca51cd4b31", "bececcda7976be8e19abe19baf2e1f19483b5eaa", "87061b07b04c55d426e5469935f7d679fe111ede", "acc405806229912e9723c55bf61dc1d34059f5d1", "7fe117f5bbf91f85a97720eca8be36da87a5f8a8", "a9cbd487b394d94d5f303c91d7f14dae14f70acf", "b808cfac9c44f27d3716f9280dad4dc2a9bbc8df", "35a2ee8bb43ad14b966c294f599475c1edd5213e", "2c75e7ee01b362cc5f1ef2e49a84d56af93e6a3d", "f2640379adc41360adc1ff03c851b30e509e41b8", "2fa77c103e2e4bb166cefab209a0be24c99914d8", "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "60d3622037a0c94af44e8334452fe4c1a7bde1c6", "fa62bd7c8e29a7f2c2104f7b769b487ab9dad4fb", "37db8a78a6bb47f6de37f5e42f6df5cd7b1bd304", "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "78efccbfd1b1fca267c1b7903d3e4344c9d54ce3", "65a9d4b8740b7ae48127d7eae9443086613a83a7", "4da8fe0379af893cca721276e13db3622955b3e7", "5b65716709a2a7a4da2e2aeb611f82e7aacfbbf0", "23a109da0c4ce0314f6f016da679a4e1fd6960ef", "70cfbf82cee2f007b3c65cf97373f66f13005b42", "6f0ce4d957c4e9556b04b539105837a5db63b925", "b3918fab36f106e83e016a3e33d260ad656191c4", "e89cf011bb543137b961807924e0b765d536aa98", "44d23df380af207f5ac5b41459c722c87283e1eb", "49d1935740a3333b7f0f4b929680554e2417cb2c", "8b13de4030c52bd84252fddc2a2d93c1751059fe", "66652367a369d18e1845dd14220dc94a9748c9fd", "81d327ec41c67728b15438bca86d10b72de1d88f", "67ab22dff1c21e8680f94948d80b77314b325d66", "f775be87ca71180d1cf97d81678f4fd713343e01", "60189e2b592056d43a28b6ffa491867f793ebe1e", "d561f8bb5d09e47348c86b40b5f6e4fe524fed36", "f611f46455ed6ad9af85eeb22e294082dced9bed", "b7407b2ea67b8c82246f013f4966c4cac1507e60", "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "8031dd2c6583d8681fdd85bdae4371c7c745713f", "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "296fde2acd81a1b2dadbd89b20436911ed3d6ead", "c68c391be18920ea1c065b714692dd968bf5a15d", "e78fdd62f67c38fcc6ac1421f045c9437f352b86", "b42a8325d5cabefd11cee59f4b2b5901eb7f18c6", "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "359c2483195a3217095dcf8738abe47181a0fc94", "79931447522097044cbc89e4bc2f69dd6e8f0e58", "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "14ce502bc19b225466126b256511f9c05cadcb6e", "3fd7bfd90f0dfc3369bfe718e27aff30cf268c23", "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "b33bbdac96c3540ebb07c3655643e6badc368c59", "56423685e039d82d3cc88f797fc2b73f2d93e200", "3a8023d206613c930cee8e9166fcbbfd743e6634", "d8a3dbeb3e262d873d5c01c2d9af7302fbc86fcb", "ac5c5be6234c459fedea5d66fd34e916e4730949", "754ee07789f6ff28fc121bb9f771895e971ac28c", "b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764", "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "25bb4212af72d64ec20cac533f58f7af1472e057", "02e43d9ca736802d72824892c864e8cfde13718e", "b3c375f2113eb891682b94d49a8a557f18d3ad1e", "7c1f47ca50a8a55f93bf69791d9df2f994019758", "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "454f403857e487d6a885180e0e0f7216a342fb0e", "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "3e159084e12ece3664a17bf4dd0eed8c5f06a33f", "cf682939be6828d1a70161618024e02af660d1bb", "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "d1ba33106567c880bf99daba2bd31fe88df4ecba", "85cbeac58cb0a6010836ddd8b2d093eabd31767c", "1a3bd11734742234ed8b12bf6221f2569b2a59db", "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "59a76bab968ac4cd740eb376ce9a26f6c1b103e4", "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "1898cc980300b5646116ee68d54957da439a7236", "b2efa9a9d996b396317e94d26add673bbf804bca", "a7fe834a0af614ce6b50dc093132b031dd9a856b", "2161f6b7ee3c0acc81603b01dc0df689683577b9", "15d99a8ebf09304916a082a4effdb215ff0a54f0", "aa8447c65f93670820124e0a99a2b5e3536700be", "4770f73bc3ad0097fc8cdff3a3f8feaed1060595", "0ecce20af2ec42e39d4294322df48a42a58e42d4", "00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7", "1de96fa00e498b425a34a85b7fb491431d00a41c", "16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07", "f2843da00dc202eb8748b1b690f7b5dd0849af20", "135fe2a0a0e6b726e5d81299edad4b3ce39d6614", "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "9785429538389146c8061ec856e74e957a246f2d", "76977a8e7afd645e83d3e5aaca47a44922188d47", "b39caa8b3f8d2da981285a0115a61a66b5f50b93", "37d7cb06c0a1e632dedcc1f23db22cbdc130e6aa", "3c975c6af75d62336b6d90d2c920f82021726f68", "50245be68e70e8447610d6fb304bf1c49cf2feda", "38b55d95189c5e69cf4ab45098a48fba407609b4", "1b93698c1784db4abf72b500e51d4806e6430522", "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "0994b8a23880be0b28c0c4b214b6d4ae91d1182f", "e3aca5a0afd13085bcc39dde7691524a07d34206", "2011d4da646f794456bebb617d1500ddf71989ed", "712590793270e2f115fbd8891314a413047fccc3", "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "974b9f0af3af675c092b96e7ac68e391cffdcf49", "498af0c92b41f02ae328857020bc5e01df59c252", "6782b148bd2de66cd73f3d69f481d40cce866fff", "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "2ac31bc7a4dd0256166208dcc8d5dfa99347117e", "e74cc004dc22ac30ddb77b6750aa326bbd41082f", "02f038ed453de0551813159284746126168f5e15", "0843ec2b76ef9401e60654fbfe71bac44ed19fae", "fea0895326b663bf72be89151a751362db8ae881", "7f45292369a5214984b4a15c65330ada474b0150", "0d754504848d071936a5d603c8b3db0c48a3da6d", "a23f55dacd3b2f3e61d6a30da49c307ed0102807", "18ab9be9af94f2bf4d3828161ffb232d1462526a", "e23a75430f777e982b0715b6f8a048d4bbfea438", "90c18409b7a3be2cd6da599d02accba4c769e94e", "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "8edcd935362c899e630349784e4ff8adb3a69cdc", "611849b55ef6b164f21e52cefd05300041e72152", "b07cf8eabdbc66df9cbc2bb93bedec1c8e5c41f0", "a855b07ab632ef67b0538325acc34e38f000245d", "9cf6d66a0b4e5a3347466a60caea411d67c4b5b7", "c8c714c100a754baf7d86d240ec35207fcf84b06", "ff8c21c13c9f442e6cebe405be4a4ce09a7fb98a", "a9be351910ad6b1819764fbaf04caa69f27548a2", "6701efa7f715b3c296843b8ff5414a6610711cf9", "7969cc315bbafcd38a637eb8cd5d45ba897be319", "a0cc5f73a37723a6dd465924143f1cb4976d0169", "063f78c20405158d87114a8aef1bb7557230bd89", "2e59865aa2ddcecaf9275abcad9b134558c686c2", "160ab0e879f4451fa4df88cd567508150894ba9d", "19bcd3bd41825a67f48db701a68030c5e6763152", "09d78009687bec46e70efcf39d4612822e61cb8c", "1bcf142e3b2f5a7ade185f220ee031657203c293", "79c2d4a2f802b1df52096154484362aec06290e5", "46638b810bf69023bca41db664b49bc935bcba3c", "61245ce4b3d8faf4721a27cd92337226bff82f74", "0a103350842cca3794a784fb04ed70ca78e7f29d", "7557e81c1189f0ef9643519e0664d60baed51721", "a6840267e169382d3c5ab2645f6da60dd842d6ac", "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "bf976d746b1223a60e93f6fcb1321e433eda94f6", "2170636d5d31eb461618b5da10f4473c67e74e73", "e9b72a152928f683aad5f81347777534b6715e67", "2880826d86a57cd15a73872ad6339baf5b100a9e", "274e8c0c513ff82713f2f332694cf2b29b7c3bb1", "6ce99d07c3673a8fc43bc659bb659df753bc3fdd", "3a28059df29b74775f77fd20a15dc6b5fe857556", "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "f10f6c294130c76981f0e584af5811c44636eda5", "fe54a5a10288648f3bd0a71b053cdb896716b552", "e9835bb131287d711e5e5435a5df8ce5302acb31", "64e4d1152cd43193f2f9a33c0fa2800b1aab1d55", "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "7ac25c5391251611696d16e677bd71040d80d583", "35bddbae441ae8d5f381b3aa343d12eae3196efa", "592bbab1e073908c75584879bc00911e7246aebf", "5da0e870d1f9161989ee9110c932477b3030d501", "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "4679f58139f1be2aab2598378555f277bc299d2a", "ccf934a335793fe416b0115183783d2c355b64ed", "3147bb14bf4228735ecf4bc2a421590b3de86c0f", "0195bf2b913dbc527fb081674f480ecd8a799c34", "ec85c3f57594afa77a8b0e516035550ef6f79db4", "4c822705edd305d04f2c02ac9b1b73421e857961", "67538df7950dbba0ab7885a23b7abf6f56f39537", "16e5d7b733086e0a7dbebc7218f80da53bd71646", "6313ecbdfee7d04cbf22755c4b53193f42467a92", "ae936628e78db4edb8e66853f59433b8cc83594f", "6a2ecd18bba2667cefe1f9c3689c7cbe0380a276", "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "315df9b7dd354ae78ddf1049fb428b086eee632c", "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "1e21078efc0aa7a3881d0e87cb5dd5918523f525", "10952c8fed04a5847192decdecfeee03c9ea997f", "628aea69160e273ae3b3ae982deb11e9089d0336", "3bb4242420255590eeaf45fe0b7c3b489fa87303", "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "2dbff0b15221234e00bec4a00b4897c631904fcf", "b856c0eb039effce7da9ff45c3f5987f18928bef", "0a85bdff552615643dd74646ac881862a7c7072d", "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "57c5501d9937fa43291dbd3f95288aded8b2dca1", "febff0f6faa8dde77848845e4b3e6f6c91180d33", "faffbf70dbd094346bad9b8a4ddeb973c51a70a9", "1f5c409e9b6aec60003b5d4534373f9b07ff8443", "40848b442cd52cbb9a440e413d5edea23a6ac26d", "26e39719a8dd2a554a825dba86fb244dcaaac4aa", "38feccdbb8d98e325cac41edfbfb3cab866fd968", "2c98300103c86401c979ec158a659fb07fd2a36e", "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "b866bafa296ae836726a8a1df78639ad9533623b", "c5f4b605eb866000aedaf7377f6329be10b5920e", "6448acca3bf4d14ad44756974a6486a317095a54", "b534163cf101520e0868c46a754748fd0e4e0ef9", "705073015bb8ae97212532a30488c05d50894bec", "2b50f8e4568ecd84e2f9d6357254272d8db4bbd4", "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "3441edf456e25b222d7b237b96faa7e3e00daaf7", "f727b12c905ac585de60811048c9f9dd4188b498", "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "489decd84645b77d31001d17a66abb92bb96c731", "700bafb57112febd5d5712f474b0ecc39379320c", "aa2deffe0b56f7b9b8cdd69f5b3ee6bb79801797", "d0d148c5124d53152e93d25ed91523dc7d83a248", "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "f3084f7f60fe087c66606f21a1df6de890feeea8", "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "03babadaaa7e71d4b65203e27e8957db649155c6", "70ab6dacf948624998d61e3476d0604c9ea2d349", "cde66b2f8c7f2e8b808073cc82f49fecfa0da04d", "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "1b3505018e39a794eab032e7e313784b21be42e9", "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "3da3630061a1b70ceb843711629eb320085cc9ee", "160da454cc64c1117c3a164b9bf375d73fb81720", "6a167375410115d83be377de1f9714929f301b00", "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "82485c89a6b48077b03b65a774fd5768ea768d4d", "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "8d8afef13a8f6195d3b874231e5e767cf62f3c50", "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "2b52292f09451cf4c803b52c2995b51d17e96153", "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "6123e52c1a560c88817d8720e05fbff8565271fb", "9125903bf7aa68920fdca8296f703b9013a877ed", "2f3f87d8cacf32232c3a34517fa991289ed03884", "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "21e880907053301b621d318a4b81dbe1b51c3aad", "a57e735f3582365dea89a202bdbcc43e53af6ad4", "05a6a40c840c069631a825509f3095697592e1c4", "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "8520a3731e66304cac8981e97127211409b5089e", "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "090dd649d9873282cfb7918fc12d11cb673dc15e", "76ad6daa899a8657c9c17480e5fc440fda53acec", "231a12de5dedddf1184ae9caafbc4a954ce584c3", "e1febe25c3f678878c97bec28036c797bc5e6d0d", "a784fd9391cc7013c618186017bbf43b806fa004", "71529e3e51f2967e338124652e93a3d34eb6c5e1", "ddca5c18415bb855e76f9f459747685ee9c23a4d", "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "78fde57462fb68530a49f913c89343da5727580d", "887502ea2d8a335d8e72deb23fec2784df713b8d", "5a603ab4b6353fc244361930c28723b3bc091f4b", "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "2de8508b33fe3ee290f94339a2f78f373e83b21d", "a46edfb0d5374fae7633b56ab767e26cc8ea25ac", "e6eda2bfec3036cf431a45fa021070ab21bb3488", "5c07464391cda9440cf05c67ab5f3b2b777459d6", "eca9b9dd665556423278b85f79e1d589009a7ea7", "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "7bb929b8ff2f83de91318865232819be8b13fbe5", "2b853328b37db50be2e5ddf7e6629121f607140c", "2c3b31284e8ed00a473338be011570967cc15958", "230527d37421c28b7387c54e203deda64564e1b7", "9836ebbef8ba972af323e20ba7667e2d03105895", "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "3f45d73a7b8d10a59a68688c11950e003f4852fc", "d8c2a08673bcda9fca35972112bff8764d207764", "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "3387805b752dadfa34cb8eb63d9dc86aff49934a", "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "eee4cc389ca85d23700cba9627fa11e5ee65d740", "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "37b207d2c4a82a57f80e96353f79ecd71320a854", "7c37f8213a33a07076ece47660ad681cb1b58d08", "b8e9a328d3952755941380f9eb88072c3c1e4f74", "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "61ab9bf00e444d12816886da0d68b833c47c152e", "3005a4afddab849d9070788ac0e4e95e0fff2216", "1459d4d16088379c3748322ab0835f50300d9a38", "99d3bc6d62675297693e5e57ff0770e7017f9637", "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "07f5c01b1e272fca1fc575ab84ac1710cbe58518", "4469d0d0ac2f6f0221dc865b132958df33faa95e", "0f911ed7c457979200848db3974f13ed3d7457a4", "56c5d08103c5bf4b263a81da73135455136bbe6d", "3f9f5a8966c035dc179a60c042b160aee2bf8f53", "93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f", "81eecb00eeadb5fe36cd840b687439bfdca7ff30", "c37c3853ab428725f13906bb0ff4936ffe15d6af", "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "744cc8c69255cbe9d992315e456b9efb06f42e20", "fef7fb6f3e239c346cd144960e27875889fdd650", "f34fdcaba3ab1c2533a00b10d83263af5d488e8d", "5438e7c8151311d76ed7335051069c7c07113a12", "63ac85ec1bff6009bb36f0b24ef189438836bc91", "0f18522f7cc5068a2dc89e28dd41054384fab289", "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "2ab79698e74812142600f7e02315b9ac235a93ee", "12bce6e2db10faa4f370f9e40a6084296080b5cb", "b33d610d62e5255c77ca4abcc9de8aa3c57b60aa", "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "0a808a17f5c86413bd552a324ee6ba180a12f46d", "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "c58a68628745ad189e47dcd956c7e23dc831da1f", "afaec3f0da9f2b8721b7979c8e77341bae59f98a", "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "4acbfe48fb279dbbc62f5be868dde5a4ce799904", "5696e95cb9538fe5f5cc27cd47543b62761021b7", "b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f", "6c518aabdbba2c073eab6a3bb4120023851e524c", "f27ac0f3a0c69571cb7d707d39bac2c5bd9c43a4", "35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62", "115808104b2a9c3ab6e2e60582ab7e33b937b754", "50bc8a4e7e6ab9837c6244b29ff800f523494d65", "998b7c8608fb9f80177ce54230761d8c3d82b2da", "84be05dd82a7208a6e7b3d238df27b123cc917ce", "87fa9d667f8f41eb04831356dc8d68b190693e5e", "706600aa77ffb165097e4aeccb2b214dabdb8092", "0910a4c470a410fac446f4026f7c8ef512ae7427", "f22058a3003cee6b17c6c25c8a635a653e78614c", "783e48629dfbb44697b15a3bc0cb2aa3eea490eb", "df9a102288582d8edadeddcb8d55068a06cc471c", "8b2d224c8b69191c02dce750257c39d46b1c4a7b", "380d50f3ccc07fa4f41282395a78c51e33985c39", "0605a012aeeee9bef773812a533c4f3cb7fa5a5f", "10a36dea0167511b66deca65fdca978aa9afdb11", "d88eb94d7054d2668b1a8dfa311721f37ae1f059", "940c42892bc5b012be2b2ac7421ccb15005781e6", "4cefd47f3327b6d30bf99e61651b18319c4ee829", "34c9753893fe4713568542e7d96dc9a9e6545ec8", "55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96", "3468740e4a9fc72a269f4f0ca8470ccd60925f92", "fbe3ba628fa8435bf1ad4ed153c93109624b8dff", "1ac6a33f04f6c5a8084c15c85295f987cc8e3d72", "7dcaf1ef07a593a987f3b529c2ad1e977c0c7196", "fe466e84fa2e838adc3c37ee327cd68004ae08fe", "3d1382fa43c31e594ed2d84dda9984b1db047b0e", "828ac57f755db989e2886042a85278ae4823297c", "26a275ba467688d422c295b5ec950e0e5d411dd4", "03eb382e04cca8cca743f7799070869954f1402a", "fb193923274c9b028254075c3b6decdae70b2ec0", "1fa9c5af78b3ca04476f4ee6910684dc19008f5e", "72cebd7d046080899703ed3cd96e3019a9f60f13", "50f3587a6316ae59493f4c408eadefe3bbf891fe", "e8691980eeb827b10cdfb4cc402b3f43f020bc6a", "cb3e81b912f24e66d91509e8ab41d09b522a397a", "12441a74e709ddab53f9039cf507491df7b3840a", "10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29", "0c41d7cfadcdaa5a66694bd57fa5eaf807043ef9", "617c4e23fc7ca51d98dacb28779214b3e79e9720", "6f42cb23262066b4034aba99bf674783ed6cac8b", "0ad1fefa54f69d9efa0112f2e60c19841d5e9346", "e959a426d02dd014c1346131ac38ed50114c17b7", "d182c6d9ac4777b5ad73afdd64b7b68d76037212", "dd216b5070a1bf97473a40c8ef4b90158d728e15", "80c11a3ad362b294d5faa0d8e5c384db1d585795", "1aef6f7d2e3565f29125a4871cd60c4d86c48361", "4e614e344ecbb36770d45fc14d3b5152b653aa97", "71807a11819431cce1b29b9c64dbd876f1da39c7", "fa50b5a54aa340d6fe7f46feb02229f1ab0f12c0", "637648198f9e91654ce27eaaa40512f2dc870fc1", "6fa1076a98a15cec083fb474f238237f1b3a341a", "b081d11a8d19048c65b34c520357a82efcc91856", "15b0e598d9692d77aa33370dd3a1a47ba5f99aa6", "173a38768848cfe57a6b20b5ae019ce613e58781", "19d1855e021561d6da9d0200bb18e47f51cddda6", "e59e1c43ee86e3e68b83d8a9916ebe6375606bb3", "8e112ad656ff90720ae609841bd0fcb2caa90d65", "3d0660e18c17db305b9764bb86b21a429241309e", "30b32f4a6341b5809428df1271bdb707f2418362", "ad08da5951437c117551a63c2f8b943bee2029ce", "175e9bb50cc062c6c1742a5d90c8dfe31d2e4e22", "7892606127c94d0be5c9bea5b6cb539f7fe3bf39", "aa90a466a2ff7781c36e7da7df0013aa5b117510", "ca1c710c14f95c3b0cf027fb068d53d595809a5c", "8027f50bbcee3938196c6d5519464df16c275f8d", "355c8c0dbd80de9d23affb37ac102179b6b2a908", "01959ef569f74c286956024866c1d107099199f7", "3cc0d9c1f690addd2c82e60f2a460e3c557ff242", "90873a97aa9a43775e5aeea01b03aea54b28bfbd", "7289a240c9425bc7cad87b3b835e5f0cac22f488", "7ed9913de03dd2990b68751842306c2636852647", "1cee733ee31e245dac4655a870fd9226163a52b5", "f5a22d8f49c0a3038cd5cacb017819a7bf781ef3", "9fb31d0375552500bd494af20ab0c3109c9be3d2", "4df36f11cddb2cfd01cd062b53f10d206db752e5", "76e7e33ddc3407fed63f9d55ffd29d253170a766", "a27973d90c1427369cb10aa0202d671f0422e21e", "a3f24a03b9b55327704fba3aed182323137113c2", "8cdd241b474bf7b0632162403ac2a3c4799252ad", "5720b75f11b2029eaad1e053417d627cfe322626", "5287d8fef49b80b8d500583c07e935c7f9798933", "aa5fbe092f8a4dcb43c31ab93af0290900b4f0e2", "d7221695df4de3f34d5e4a877b71c14bc88760d2", "f783d93b983841804a9633a37dfbc624bf5d9bfb", "8cc5ed358764a68140550c1a7fcbafef31560164", "8a4119c2898f611a6ffa0b4b72acf322d1b455b1", "04427d8371cb9e66e2cdcd2035756203398a8bf1", "63856e83b69ac15e1252c1c3d89114dcf806fbcc", "2ab8956fef9526741c1e68c94d9a9da74a87960c", "5f9c3b25eaca97af3c86460d365a3dd485ecbf96", "4ae33d64f8515a023f10e20af20f62a2a5a76f13", "65de72fb1e682375614f7edccd2043e919df9aa7", "ce386ab4511f38a7671576a9cd32e5557853180e", "a47e51dd3f73817679ff0e987a0064d43db25060", "48f45accce6a4a22e4ead41fe292a915f3531f5b", "20e476887f9ad432ea35a5f712485e4e77363d64", "d6807368ab0c87a9cfbb34237704c7019b404a21", "b08c35f8e529f47a3fdc4f0713ffe77d94c57d87", "1cc084aaf9ffb015f76eb2406e11745ab847ef3e", "20405902028e631e239cbc0ff6148f5f1d8050a0", "1cf6bc0866226c1f8e282463adc8b75d92fba9bb", "7a82d83f818cdc4ac714e468446bc2499ff9caa7", "9563456bfdd8b18df7f764400c04976771eb8728", "00f5bfc2fb760249ba4e9c72b72eea4574068339", "62aaa33c46a7c4c2d8a80c81954101576200799d", "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "a0c81783ec60bd64aefc49285eb082a8185d49c1", "3aad63c3c049eedb1c6da4871faa90e797b933e8", "99975f84728140154a35b0763753b35bc44e1d5a", "f1f6f1f2f3c732eb986f604f6056c23bd9e25c7c", "90dd771829094dad1230e32b8bc4385bfe86c4e5", "3965d73c9d7c97cdb391bfd86a15bfd3534cbd32", "5d31da6f19d69c8f83eb44c6f6586de930ee86ee", "610e0bee525a6573932e077f091505f54a5c4ede", "0f21156ea35f558ac3635326bd64ff4018446ea3", "044e0d86e2db70d4c0b767bf0994913e90e105e3", "4d510bca00b625f86606cb0096299b993090534a", "ad5950257e053b08657ea298f7b89ba358b8bfcf", "3c54b796cc10cb530f77caa4d18e1c80ac863822", "c4e69a89a9e322ca78ed3f1140e74aee5ab844f1", "6115445ca062b8f865f0b447c059813088b9dd49", "1bfc74bad04b407d1792a70d73a3f5dc0be0506d", "1e7995220c6f17dc649b0caeab34c617248aa167", "6dc24f94f610a27e767ce1e02def70eb3652f81a", "a4a90a2db209db2d5c49adfd2091ede2d4130f60", "091d0c7b3576fd6f3bb2bec344deb8f81fc1f7c6", "21c99706bb26e9012bfb4d8d48009a3d45af59b2", "b9953824b3d4cd2be77ecbc5db3f7dec3dfa031e", "88bbd2adf9007683c1aff85c84178f2c040a196b", "0612745dbd292fc0a548a16d39cd73e127faedde", "a678b68abd4047d5342f64725f57a04647a47711", "0f827a43026854e4f7e4ea5edad2c70c7d72e9a1", "2385007824daaf9eac9476fccb1501b7ac166ceb", "82bc5bffa47f20f565474d79476ee357eb93b639", "9a3d03a00a4bd72f328217323e85957523df8f24", "df192055c2a28f5ab7b7cd4f32bd3836bf3a3bb6", "06e7648e945b39b8ccaa9120c796adc170dc81e4", "d740d0a960368633ed32fc84877b8391993acdca", "eab2a4b9fbec18a8f4a5f4fa4028cc72ed06c439", "20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74", "7a84b972b385109fc9eb76522de8344a5d495763", "1b94c49c119c7490d2df6a2dd093e5ddd8bfba14", "8cbee37fdc2353e93494a687ceddfdce2ad71e85", "974cadd15684c96618d04f845794cec5568a86a6", "4066f186ff58d300090c652925ed0aed3355efec", "211fe99400bde5116efea3b42719d00a34931dcd", "2d3d4883350a48708cdc0c260479110e5eed965a", "2d83dbf4c8eabc6bdef3326c4a30d5f33ffc944e", "7a8e54033d166bb5bcb2acfc89c2659b45baa6e6", "7730d2a16d6b85edfacdfa37124abda79a667702", "111ff5420111751454a2f4f55b7bb75d837ed5f4", "c86ce9fc2bd5aea98869cf1f31d03e05e7ec672c", "98025d3d44e9379736adb1228919272ded9298ae", "ab84d00079d0a29e44bdc4c83037dc76b0fbef05", "0b57eb772ad9129ea4011c7fcb16c57967409018", "634161e4759616dbe06f0b1465999d3df122f366", "7e4b638e028498e900747b600f46cd723f1f231e", "5582bebed97947a41e3ddd9bd1f284b73f1648c2", "a3d071d2a5c11329aa324b2cae6b7b6ca7800213", "09efde3bd0a380e8cbcd55a13694648276c2c166", "1da2431a799f68888b7e035fe49fe47a4735b71b", "228db5326a10cd67605ce103a7948207a65feeb1", "4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a", "e6beb5d95fa262b8717cc264d79a879285db15d4", "b5af4b9d68f1b9b2c2999a726f6d2fbb2a49a3bf", "96ec628fc3608f88fdef998bf68eb37f7ae17359", "a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c", "0197f278e2dedd67ec5067f47037b8cdd3ae8509", "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "9328898f9e04e4ddfbc377701ecf3d4da2e44652", "287c5be2610e1c61798851feb32b88c424acfbf9", "05fa7085663bbbd1057c0d240158091930c59c6a", "8e06f628d0566e31366cf046b4a83ac4724ea7c3", "f8809a55945c283d249f4c4adb5d74e452cdfaa0", "6861552bf6730529d3fac5d6f2bb7e0f491edea2", "b44999bb2e23cf8ca0a413a2d006cc9800794650", "1d8f4f76ac6534627ef8a1c24b9937d8ab2a5c5f", "03c820f35afdc38dd05e4c663d2877e2602bcde0", "b68773df340498768e88487abe8f7fbac5fcb52d", "216c6d29a6f57c37ef8f26f88b6ec9be5b855a66", "5bc7a664f7c7155bd1c2da0939d04231f230c4c6", "a1030e6e0e6995768dbcafedc712a59db090d2b4", "6eeff23d6e0127cfbbd0374a83341173a418ba7f", "788eceb4d1b7556d1c9033224da2348b4402d6ca", "e260a9f00180a720e848d8a2f28e7d4cba93e453", "cb8f1f77a8b19d99dfe0c7b50dae3978cf646aa9", "182ca028795edaa939739a2a3ee93a7e60721e28", "747e9b36c5a1b0b8a9572da0ab416ddd1e1d2d33", "1ca8c09abb73a02519d8db77e4fe107acfc589b6", "fc450e42aa2a491ff0afda144718d4f73d4d89f2", "7f201b4226d62bf449a68ebcc159acf8b95289be", "2231f44be9a8472a46d8e8a628b4e52b9a8f44e0", "1c1a24169be56e01b0e36e260f49025260a5c7e7", "ec3621e900cc50afd067584bb1246a8b4e338fa8", "c67d62592ff24a25764e489a8a68672d40f50da7", "17d4fee6b21c9277375d6cf0c9087828595009b6", "ad2339c48ad4ffdd6100310dcbb1fb78e72fac98", "15f8bf1eb9bb3c86ad75454651a518267028c917", "9a6268d2bc1221ea154097feadea0c58f234d02f", "dd2f8bb5fa881797fad0448547e307a18bf897da", "0ec03a13063e5811ec9461cf7af04f4f3110ccaa", "05cd67d4aea69a4e305a3aa5315cea19662743de", "03f98bfb129028b80ce98686c573830671ee1e3d", "1eda03469d860ac725122bd27faaae6b2cb47d0d", "486a0044b9c86c6f648f153f3d3f2e534342b754", "867fd4914a265b5dd4494f14273b8d28257c7b5b", "7a047428e6a6ba1486d54f9599ba3ce6201360c9", "87ce85c4f10a2339902460d0906d2fa7894050bf", "caa9927fbf2c83d3e3c086d890a263ed6c421d0c", "176980b2554c16c5a48af890276f4649172076bd", "c9cb1f19ce918a038880f40d616969d7821b1407", "5c617a3fbc92cda09175b2afb3eef2a91e37938b", "31e00cb6451920447cdce252bf73d162fe91d775", "4d0ab1cf9524fb8263a63357fa39757a33a29cad", "a8c4ad6a2e0ee88ca2b1f017c65c31ef6a243657", "cede552a5d65e04fd4894f940b4dc5dd486c44a3", "7b83674072904f783881585a45017c1969e2d692", "5ae02b222ecaf7c11dfd07ad4b31b43d69ae8cd7", "817502a2b3d7db07f89158ce2996a9e4bc433a8b", "f04d1648357dca8418f2cab80eb5c063c4abb674", "545b2ce4bc5ed7b1c1089020b3e53c1d67186370", "79cabc5664dade1d486f076a124a92859269b80e", "356b431d4f7a2a0a38cf971c84568207dcdbf189", "dc5d04d34b278b944097b8925a9147773bbb80cc", "4bf85ef995c684b841d0a5a002d175fadd922ff0", "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "4707c5e306e69330c5757e74a6313544484840c8", "7ec431e36919e29524eceb1431d3e1202637cf19", "e43045a061421bd79713020bc36d2cf4653c044d", "434d6726229c0f556841fad20391c18316806f73", "c038beaa228aeec174e5bd52460f0de75e9cccbe", "7071cd1ee46db4bc1824c4fd62d36f6d13cad08a", "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "59d225486161b43b7bf6919b4a4b4113eb50f039", "590628a9584e500f3e7f349ba7e2046c8c273fcf", "60efdb2e204b2be6701a8e168983fa666feac1be", "624e9d9d3d941bab6aaccdd93432fc45cac28d4b", "82dad0941a7cada11d2e2f2359293fe5fabf913f", "a9be20954e9177d8b2bc39747acdea4f5496f394", "d1edb8ba9d50817dbfec7e30f25b1846941e84d8", "0c53ef79bb8e5ba4e6a8ebad6d453ecf3672926d", "02fc9e7283b79183eb3757a9b6ddeb8c91c209bb", "90a754f597958a2717862fbaa313f67b25083bf9", "0ccc535d12ad2142a8310d957cc468bbe4c63647", "7c3e09e0bd992d3f4670ffacb4ec3a911141c51f", "5d88702cdc879396b8b2cc674e233895de99666b", "68c5b4d9ce2a0c75ba515870923a4bd1b7d8f9b5", "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "25ddb883545658f5fea5c18d6024d54dfdee48fc", "acfe5b5c99be70fa3120d410e7be55b9fe299f40", "3b9c08381282e65649cd87dfae6a01fe6abea79b", "48a6a1c6a0ac5f2b7912b3ccb40b0c07f62ddfdf", "43261920d2615f135d6e72b333fe55d3f2659145", "f8f2d2910ce8b81cb4bbf84239f9229888158b34", "b999364980e4c21d9c22cc5a9f14501432999ca4", "ef761435c1af2b3e5caba5e8bbbf5aeab69d934e", "01dc1e03f39901e212bdf291209b7686266aeb13", "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "36c473fc0bf3cee5fdd49a13cf122de8be736977", "1886b6d9c303135c5fbdc33e5f401e7fc4da6da4", "d307a766cc9c728a24422313d4c3dcfdb0d16dd5", "d963bdff2ce5212fa585a83ca8fad96875bc0057", "2b0102d77d3d3f9bc55420d862075934f5c85bec", "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "c708aa3866a122778b6f99d8eae3149649306e79", "b37538f9364252eec4182bdbb80ef1e4614c3acd", "3cbf60c4a73fadd05b59c3abd19df032303e8577", "f8f92624c8794d54e08b3a8f94910952ae03cade", "b339e16484a937fd87aba8e05dd843a8af81851b", "004acfec16c36649408c561faa102dd9de76f085", "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "5b062562a8067baae045df1c7f5a8455d0363b5a", "8c7ee7acf850562e7515a3e01800c98cc393e62b", "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "be501779ba57eb1ecc1d9ec96b59e7bdd365f2f3", "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "bab66082d01b393e6b9e841e5e06782a6c61ec88", "10384cbe0ed2c44c4d0059745d8bf1509be75941", "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "76fb9e2963928bf8e940944d45c13d52db947702", "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "15a0546ee32ac391f342a6188446dd6699a1d7b8", "fd2bc4833c19a60d3646368952dcf35dbda007f3", "fc26fc2340a863d6da0b427cd924fb4cb101051b", "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "cb68c60ac046a0ec1c7f67487f14b999037313e1", "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "386ce3ac3d2db91290c8c2fa984a5e76dd364169", "0b198c9aececb8f4172ace5c25d468141c5df6bf", "d9216cc2a3c03659cb2392b7cc8509feb7829579", "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "947954cafdefd471b75da8c3bb4c21b9e6d57838", "c635564fe2f7d91b578bd6959904982aaa61234d", "280976bbb41d2948a5c0208f86605977397181cd", "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "b3222fafbca3b184634c5124960e5dc813221aea", "d70db731423a881aece0505f43c1af73df8100e1", "e307c6635472d3d1e512af6e20f2e56c95937bb7", "2e230fba690287b9cf891adc0a0a089df3a383b1", "33f358f1d2b54042c524d69b20e80d98dde3dacd", "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "fb5ae9c218fab5582014d9834d371054e947b9a8", "d6e8930b3758e415a09238aae4a129bbf2d5468b", "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "c753521ba6fb06c12369d6fff814bb704c682ef5", "978716708762dab46e91059e170d43551be74732", "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "e9d549989926f36abfa5dc7348ae3d79a567bf30", "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "dd749916f9705a55881f77f4211f1b0051e4885f", "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "9812542cae5a470ea601e7c3a871331694105093", "95bdd45fed0392418e0e5d3e51d34714917e3c87", "69835bdd4da26fccd54f4a8d351f71fd1ba63a92", "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "767ac8398e845779be111eb4ce8cb60a8b69a511", "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "12d62f1360587fdecee728e6c509acc378f38dc9", "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "bccadacb4689e060711d95082ab9d0ed4e0c4e74", "4a91be40e6b382c3ddf3385ac44062b2399336a8", "00e3957212517a252258baef833833921dd308d4", "31da1da2d4e7254dd8f2a4578d887c57e0678438", "ae5983048e59a339c77fee89e9279a4a787ba985", "1822ca8db58b0382b0c64f310840f0f875ea02c0", "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "a80d8506fa28334c947989ca153b70aafc63ac7f", "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "7f4040b482d16354d5938c1d1b926b544652bf5b", "2f1972f1fa665f3306a487de9d004dfece719c0b", "e5a9768dcfa9cdd079ce597e8e9324336fbbf1c8", "93e451f71245f8e5ba346a48de2d09c0bccc3c22", "1e7ae86a78a9b4860aa720fb0fd0bdc199b092c3", "b8771c3c3de2444b74e637f187e972eddd51506c", "1e1f664effafaf3f0f03889aa335125ed7ee42cf", "15f5c638c4cef6e8de5a2fb26e981f263c828a3e", "dfecaedeaf618041a5498cd3f0942c15302e75c3", "acd219a3cf9798af43d67237ac06232065dac357", "8fda2f6b85c7e34d3e23927e501a4b4f7fc15b2a", "b55e70df03d9b80c91446a97957bc95772dcc45b", "daa4cfde41d37b2ab497458e331556d13dd14d0b", "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "8bf4b09d9e5667b65336d71d7d917eab5fc26fbe", "c3a3f7758bccbead7c9713cb8517889ea6d04687", "85674b1b6007634f362cbe9b921912b697c0a32c", "1b794b944fd462a2742b6c2f8021fecc663004c9", "7c953868cd51f596300c8231192d57c9c514ae17", "c13211a15abd3ca187ef36b9f816891f901ba788", "ede5982980aa76deae8f9dc5143a724299d67742", "ca6ca00a66795fd6c051364a375bda9901758937", "1171ec9250743c349e5218d4a01c4fdad94c7707", "795ea140df2c3d29753f40ccc4952ef24f46576c", "cd4c047f4d4df7937aff8fc76f4bae7718004f40", "8a3c5507237957d013a0fe0f082cab7f757af6ee", "dac733fb6f7a4845063d3dd494410f4b38431336", "1389ba6c3ff34cdf452ede130c738f37dca7e8cb", "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "02820c1491b10a1ff486fed32c269e4077c36551", "e58edf6e667afe41538eb19a0528e9b29dc88d7d", "31d51e48dbd9e7253eafe0719f3788adb564a971", "17c0d99171efc957b88c31a465c59485ab033234", "a065080353d18809b2597246bb0b48316234c29a", "287de191c49a3caa38ad7594093045dfba1eb420", "239958d6778643101ab631ec354ea1bc4d33e7e0", "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "7d73adcee255469aadc5e926066f71c93f51a1a5", "66490b5869822b31d32af7108eaff193fbdb37b0", "9944c451b4a487940d3fd8819080fe16d627892d", "01bef320b83ac4405b3fc5b1cff788c124109fb9", "ca8f23d9b9a40016eaf0467a3df46720ac718e1d", "0ba64f4157d80720883a96a73e8d6a5f5b9f1d9b", "043efe5f465704ced8d71a067d2b9d5aa5b59c29", "307aa94a046a7afa23ffd2ea0c9020e057b238bd", "3fb26f3abcf0d287243646426cd5ddeee33624d4", "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "878301453e3d5cb1a1f7828002ea00f59cbeab06", "a32878e85941b5392d58d28e5248f94e16e25d78", "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "e5fbffd3449a2bfe0acb4ec339a19f5b88fff783", "32ecbbd76fdce249f9109594eee2d52a1cafdfc7", "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "174930cac7174257515a189cd3ecfdd80ee7dd54", "0f9dd79de75a3dce394846369f09c05ddf250e31", "6043070c2f2f592601e90d2c71dc6fafca48056b", "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "350108a9dbb746dc6f127d98342c07d8019e3f46", "2a7b7de7488211471a001044a3a249a117af488a", "45e7ddd5248977ba8ec61be111db912a4387d62f", "22f656d0f8426c84a33a267977f511f127bfd7f3", "156cd2a0e2c378e4c3649a1d046cd080d3338bca", "2f515770d74502d200c3f51ba663fbe600714327", "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "6eba25166fe461dc388805cc2452d49f5d1cdadd", "7ba27dc104ce8d8ed2925f1e982d5d54c7db54af", "5a2eaba870d962896a09fdd220b46980831c07e9", "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "4dd71a097e6b3cd379d8c802460667ee0cbc8463", "ccebd3bf069f5c73ea2ccc5791976f894bc6023d", "4cd0da974af9356027a31b8485a34a24b57b8b90", "ada56c9ceef50aa5159f1f8aa45ca2040d1ed15c", "7557296f49116c1e1a5e7917c68e238a8e5507c2", "441bf5f7fe7d1a3939d8b200eca9b4bb619449a9", "cdb6b1a316995c42bcb90536d6fe17b81cd21b5f", "5c0d105cfcc78d689d948a2aa8d654cab4e545f2", "c94b3a05f6f41d015d524169972ae8fd52871b67", "89497854eada7e32f06aa8f3c0ceedc0e91ecfef", "446a99fdedd5bb32d4970842b3ce0fc4f5e5fa03", "4e6c17966efae956133bf8f22edeffc24a0470c1", "053689f1b58cebce2f5a574bcb240b0130855dd4", "9ea992f009492888c482d5f4006281eaa8b758e7", "d4c2d26523f577e2d72fc80109e2540c887255c8", "a1f40bcfadbeee66f67ab0755dd3037c030a7450", "629093211c6ef089fe53680472c147af9af678d4", "cc31db984282bb70946f6881bab741aa841d3a7c", "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "2c17d36bab56083293456fe14ceff5497cc97d75", "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "fce1c3f4948cf300694c18c3fcc5486cd060af13", "b558be7e182809f5404ea0fcf8a1d1d9498dc01a", "d673d571f467ba23730833befce027b661b62cac", "ff93f127081f54855d1612b39260489a2d9baa0b", "622c84d79a9420ed6f3a78f29233d56b1e99cc21", "969dd8bc1179c047523d257516ade5d831d701ad", "d689063294e217f1ec8b83fe4b60e706f1934787", "64e82b42e1c41250bdf9eb952686631287cfd410", "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "8cc07ae9510854ec6e79190cc150f9f1fe98a238", "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "2223fbd01aabd8792940c9756621e38c669ca351", "5cf12787b9ee536817c0429700c75b98f04192ba", "22c06284a908d8ad0994ad52119773a034eed7ee", "05f3744c2d272910fad0adc3a5fd9e919e005150", "38183fe28add21693729ddeaf3c8a90a2d5caea3", "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "a28adc7e175e03b59a3bec8cdc0172670db55e62", "31e57fa83ac60c03d884774d2b515813493977b9", "3dfbd17bd9caf7bd1d908ff469dec2b61e8a9548", "1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177", "b8978a5251b6e341a1171e4fd9177aec1432dd3a", "085ceda1c65caf11762b3452f87660703f914782", "ec8ec2dfd73cf3667f33595fef84c95c42125945", "0f7723acbe2a8e7bd71d0f2264359ff2e93f7a9f", "081cf6c4a93379b891bf1077ed77b22ddcbadf8b", "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "a422f2d0212f54807ff678f209293a27c7791ec5", "68f09c4615291a88a6cb0268e767ca9e085844fd", "c7cd490e43ee4ff81e8f86f790063695369c2830", "45e616093a92e5f1e61a7c6037d5f637aa8964af", "614a7c42aae8946c7ad4c36b53290860f6256441", "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "244b57cc4a00076efd5f913cc2833138087e1258", "c4fb2de4a5dc28710d9880aece321acf68338fde", "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "113b06e70b7eead8ae7450bafe9c91656705024c", "0561bed18b6278434deae562d646e8adad72e75d", "0c20fd90d867fe1be2459223a3cb1a69fa3d44bf", "19a9f658ea14701502d169dc086651b1d9b2a8ea", "73a70595af6500505b46de91afbe108ce2fc2aee", "fd96432675911a702b8a4ce857b7c8619498bf9f", "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "04661729f0ff6afe4b4d6223f18d0da1d479accf", "b8378ab83bc165bc0e3692f2ce593dcc713df34a", "c1e76c6b643b287f621135ee0c27a9c481a99054", "fb87045600da73b07f0757f345a937b1c8097463", "d06bcb2d46342ee011e652990edf290a0876b502", "bb070c019c0885232f114c7dca970d2afd9cd828", "b1245ada9360b1b9fe90badea088a8685d1a44da", "1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4", "853fc1794892175e2318f55785ca8e2ce6fd7537", "52c65a83434dd45caa6c51aea029e74c10bd4ae8", "3cb057a24a8adba6fe964b5d461ba4e4af68af14", "2f5ae4d6cd240ec7bc3f8ada47030e8439125df2", "5cbe1445d683d605b31377881ac8540e1d17adf0", "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "fdf8e293a7618f560e76bd83e3c40a0788104547", "2804e7407cc5c236da84437e0440947a3faa1145", "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "82024c5f25c9d2efd4aad30a61b6e6bccecba00b", "c146aa6d56233ce700032f1cb179700778557601", "1389184de2f2ffe753ad39744d79648140ea7789", "8ee5b1c9fb0bded3578113c738060290403ed472", "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "be892645c24f800b9b615b496172cd9fac8d5fe8", "2f04ba0f74df046b0080ca78e56898bd4847898b", "3251f40ed1113d592c61d2017e67beca66e678bb", "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "eb87151fd2796ff5b4bbcf1906d41d53ac6c5595", "b3e521baceadee36ac22b6a06266e8abd6a701f7", "b1fdd4ae17d82612cefd4e78b690847b071379d3", "d42dbc995318e2936714c65c028700bfd3633049", "c82028f8fc6762e4f02a0001cf9d85e316274598", "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "e523c19503a81eb916cfced029a96405be2cd002", "6f9026627fb31d4cfb08dbcc4ab852945dc42252", "247b5d69370f6e3af9f36f1f9dcf482d63f771d7", "71eecb0cf86f83585c0eab8297645b2a21942cb8", "28bac5bc6e8a15f704563c5cb723b7c71f5413fa", "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "2d294bde112b892068636f3a48300b3c033d98da", "d3b0839324d0091e70ce34f44c979b9366547327", "b294c35759dc38c4bb4723fa953310f7f55b7fc0", "e4e07f5f201c6986e93ddb42dcf11a43c339ea2e", "6342a4c54835c1e14159495373ab18b4233d2d9b", "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "a5f35880477ae82902c620245e258cf854c09be9", "37ce1d3a6415d6fc1760964e2a04174c24208173", "5c8672c0d2f28fd5d2d2c4b9818fcff43fb01a48", "aee3e3b9ac91fc90dc6db127f27764d873b29a89", "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "166b3ca3a43102e7d0a35d883e650ec4bbf2c3a5", "3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f", "f339aeb5911229c6e2a5835ab6f32080e137781c", "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "1ca815327e62c70f4ee619a836e05183ef629567", "68c1090f912b69b76437644dd16922909dd40d60", "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "136f92989e982ecf795cb27d65b48464eaec9323", "4eab317b5ac436a949849ed286baa3de2a541eef", "40c8cffd5aac68f59324733416b6b2959cb668fd", "9bd35145c48ce172b80da80130ba310811a44051", "1606b1475e125bba1b2d87bcf1e33b06f42c5f0d", "f4ba07d2ae6c9673502daf50ee751a5e9262848f", "a1e07c31184d3728e009d4d1bebe21bf9fe95c8e", "ed07856461da6c7afa4f1782b5b607b45eebe9f6", "9207671d9e2b668c065e06d9f58f597601039e5e", "19705579b8e7d955092ef54a22f95f557a455338", "0974677f59e78649a40f0a1d85735410d21b906a", "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "0d746111135c2e7f91443869003d05cde3044beb", "fcd3d557863e71dd5ce8bcf918adbe22ec59e62f", "4dae1c18838233338481e3ed29bf6e1252cb68f2", "be632b206f1cd38eab0c01c5f2004d1e8fc72880", "02bd665196bd50c4ecf05d6852a4b9ba027cd9d0", "7117ed0be436c0291bc6fb6ea6db18de74e2464a", "f070d739fb812d38571ec77490ccd8777e95ce7a", "f074e86e003d5b7a3b6e1780d9c323598d93f3bc", "940e5c45511b63f609568dce2ad61437c5e39683", "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "35d272877b178aa97c678e3fcbb619ff512af4c2", "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "f27b8b8f2059248f77258cf8595e9434cf0b0228", "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "5789f8420d8f15e7772580ec373112f864627c4b", "2a171f8d14b6b8735001a11c217af9587d095848", "726b8aba2095eef076922351e9d3a724bb71cb51", "775461c0ed08a24cdaeca8975fadfc9846d509fe", "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "1966055f13a7475100d18843f85717f312511805", "293d69d042fe9bc4fea256c61915978ddaf7cc92", "3176ee88d1bb137d0b561ee63edf10876f805cf0", "6ebc601bba067af64b57d59039319650168df4c9", "93b689145277f7594e4bc0af2ffec5d3a31cc1fa", "42ea8a96eea023361721f0ea34264d3d0fc49ebd", "e8c6853135856515fc88fff7c55737a292b0a15b", "7384c39a2d084c93566b98bc4d81532b5ad55892", "4c6233765b5f83333f6c675d3389bbbf503805e3", "a4de780b8b333f073667c1f2dd7b3ae54a97f380", "74ba4ab407b90592ffdf884a20e10006d2223015", "01125e3c68edb420b8d884ff53fb38d9fbe4f2b8", "1efaa128378f988965841eb3f49d1319a102dc36", "a5e5094a1e052fa44f539b0d62b54ef03c78bf6a", "961a5d5750f18e91e28a767b3cb234a77aac8305", "2aea27352406a2066ddae5fad6f3f13afdc90be9", "95ea564bd983129ddb5535a6741e72bb1162c779", "afdf9a3464c3b015f040982750f6b41c048706f5", "d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1", "7789252476073a77e80fb0668eecf94a99b81d8d", "0e986f51fe45b00633de9fd0c94d082d2be51406", "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "37eff004718e0d66a249310ab5108206d158d945", "1c8d585fb7e82abf43f45014494018a843774d2b", "44fe6787f864812e666fbed8c18e18ad0eff190f", "2dcbd8f2533dd08d09987bd069eeacbd6024731d", "a71185a29a989d9ef1bb6f2a3e225f1746640a89", "c872d6310f2079db0cee0e69cc96da1470055225", "58303432a25cc86bfe9c77cf4c04f91695a24304", "e28915617dcad57c84f5feb2b93763548a44defd", "0ad8149318912b5449085187eb3521786a37bc78", "582a6fdedcde646cdc4558106832f247dd4b27de", "3813d74ddf2540c06aa48fc42468bd0d97f51708", "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "b3f18013079e0535dcda045ac5145c201287aec3", "ab540c5be9f7ef688d3cd76765fcb794b92531fb", "04743c503620baffd75f93f8e4583fcba369ac9d", "1fe59275142844ce3ade9e2aed900378dd025880", "50decd1955df6c7c6edb2d74d1663edc7a0f53e2", "8499c03161918d40f11f649a5fd4510aa43632f6", "cc31c2f2010db1cab040a937a37c4873bb4ba3a1", "625075ac5a48c9ac5e90cb6a7fece1f7a8ba2b2c", "20b038c50cc7148dfb364e2de51cde120c907c9f", "9fd2859eb2e277bcf42a455741f623480238e381", "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "6f9c14c9d4cd38e70598e4135419741c4f7eacf0", "5ff63170ae8eb78a055ab34f52b33756ce2b738e", "a11f5e74b13a6353d14e024d06a902b9afa728b3", "188d26a005b6aac1448b9c52529b93a186c33685", "e58f08ad6e0edd567f217ef08de1701a8c29fcc8", "337e67c8c5247695bb384c35272beaf47d464c75", "021c3e8c3c64c25126315911f31cab1edca82ab3", "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "d437a69d631b48583acc19c946b48e7d601d7853", "665f0763ad7f320cb59fcb6a745906d3d6799d99", "6c97af4c5d9908c288626d833818d7095f635765", "7a97de9460d679efa5a5b4c6f0b0a5ef68b56b3b", "d50c6d22449cc9170ab868b42f8c72f8d31f9b6c", "9391618c09a51f72a1c30b2e890f4fac1f595ebd", "a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc", "70af8e4ff3c029aea788bc28b45c56932b50c056", "06560d5721ecc487a4d70905a485e22c9542a522", "5a9a8d57df9646acd559b843df3ea891b7b6d026", "52ed55387cd6e168b91391110fb4319160e82f50", "5061f591aa8ff224cd20cdcb3b62d156fb187bed", "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "68eb6e0e3660009e8a046bff15cef6fe87d46477", "4425ea826207e1e0266ca26968edab2b9d29a3c2", "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "0d8cec1b3f9b6e25d9d31eeb54d8894a1f2ef84f", "2783efc96a0d59473e4236ccf1db6ed7e958839e", "a47f834281c39b1b851757b807c92f43dc975206", "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "14f6309369cc8d4826df11522de318b266df3bd5", "34786071f672b55fcdb24213a95f2ee52623ff23", "ad8bd7016132a2f98ff1f41dac695285e71cc4b1", "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "e151c99b5e55bfc03047a2c6c2118cd9e4ad829b", "1dcccd889562daec06fee30829c61a4b5a386cc2", "bf107f242abea2e52d82dcd834e58b774205ec84", "6d62819a874ce889dde472cca0991ef90a43cb47", "c5c7c5241023edba35d864820e5c900c78605c1c", "88e2574af83db7281c2064e5194c7d5dfa649846", "3df44e3a547c7ccbc1222bdeaeef6c899c59dc30", "85955fe6cdf4f9f35fc9eab6cc4fccbb819e68a1", "a83fc450c124b7e640adc762e95e3bb6b423b310", "f926020afaf2fcaf15fd6423dc3d76f88551701c", "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "1bc9aaa41c08bbd0c01dd5d7d7ebf3e48ae78113", "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "5da43ff9c246ae37d9006bba3406009cb4fb1dcf", "582157494d72dd28dc28172f04dfd5f25fb17bff", "7ac88a1ccdac2704b1dd868296638e276c75cd1c", "6dc784e98680f417d8dd1a78a417b8ce803ec143", "856b8576999517c0cb7d95aef0159432604a8447", "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "c733e4a14b51623120da9b4571b4409bc99ab0cd", "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "7f8d44e7fd2605d580683e47bb185de7f9ea9e28", "bcf2710d46941695e421226372397c9544994214", "a6270914cf5f60627a1332bcc3f5951c9eea3be0", "a1e1bd4dacddc703a236681e987a09601ee1016d", "cc96eab1e55e771e417b758119ce5d7ef1722b43", "0341405252c80ff029a0d0065ca46d0ade943b03", "91e89cedd4093bfe176532530ddb960f2767aca5", "6bf57ae6c63873253d1b95782f8c6b7bbc91b9ac", "963d0d40de8780161b70d28d2b125b5222e75596", "0c251ee4c1f4cac3929cb889c525785335237ed3", "8f4ca94d4f96e1fcf81d6a8928a9ad9b744441ac", "36c2715522c3df4237d8e034dfe49d67eafd6382", "f8e3a0f41b41312d4cc6bdd0854ba5c805ee6fb6", "16243557482241171beccbbd694976103cc941ef", "9a0b2816f6f1ee04b54c7bf8269c5f2f31049f0e", "16597862a1df1a983c439e82e0462424f538bb48", "66449f6eb492864c86ab80e81417b5003a76a36b", "2a84f7934365f05b6707ea0ac225210f78e547af", "3be8f1f7501978287af8d7ebfac5963216698249", "1188c925d90e93a205c5fc15d11fb2ae02660f2e", "c05ae45c262b270df1e99a32efa35036aae8d950", "d46509935f7d485295587d4fc201c42108760379", "6b0b10836197d7934f53080a39787b7d8d2b81f2", "0eb45876359473156c0d4309f548da63470d30ee", "a92b5234b8b73e06709dd48ec5f0ec357c1aabed", "8c3754f43d604dfe6d149a051eeaff8c2237f217", "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "9a6b80f8ea7e5f24e3da05a5151ba8b42494962f", "3abb51739b90c8bfd665e045b0eeadc87e065b63", "8f32df80a5f3b3b60599614990fcd6a7d5ae9619", "b907537c602b95948da809f7d4aff4bc959d8ba1", "6c0e0c3e66622023c64c664c3411a6fe1c87d5c5", "8d646ac6e5473398d668c1e35e3daa964d9eb0f6", "27f1fd71538ba420c63aa4c74704718a0633b22a", "445e3ba7eabcc55b5d24f951b029196b47830684", "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "1287639dca7a7510af82f0840012db9d7873930e", "76b11c281ac47fe6d95e124673a408ee9eb568e3", "caf36ebfe947b911b247905f3995b46a8c635892", "3505c9b0a9631539e34663310aefe9b05ac02727", "fce94bd316dad2e38091549e15aa2d84f2e93943", "68e6cfb0d7423d3fae579919046639c8e2d04ad7", "e883cf759c3abecf59bf9f13053b1eb59bde01a6", "4543052aeaf52fdb01fced9b3ccf97827582cef5", "3a2cf589f5e11ca886417b72c2592975ff1d8472", "9ca7899338129f4ba6744f801e722d53a44e4622", "4931258421696faf422654c83c25e6331ffc640a", "862d17895fe822f7111e737cbcdd042ba04377e8", "88e2efab01e883e037a416c63a03075d66625c26", "699b6cbd72ee0274699b939863813499c377ea00", "42a48ce71daa2d05c698d2e9e90335320ddd9841", "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "3fe53257e357ac1ad0e9cfcd2d2a452f3f54a6b5", "8d8d333eb194bce847a4bbfc85fe332643622a34", "d1fac29bac01b7412770902914f67ed7d6b31516", "fc94624942d6276951c3d60254de070cb615dc33", "79584ed8638392e253ffae2d5ec936239d088285", "a602b95a0e24c224f5812d08aa39b20588de699e", "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "1a93f3449764258a6a0275054c435a334ed95a44", "87147418f863e3d8ff8c97db0b42695a1c28195b", "1b7f9cc57ab8f3f551bdb0d5f153191ec403895e", "e1aa78cc4df90564da1dcdfd63e04c3cfd0e84e0", "1768909f779869c0e83d53f6c91764f41c338ab5", "12831caca9674e0ab3fe2fc02a447ddb5a372994", "a0798a0a422520241cc02282946882dd1ef853cd", "ef559d5f02e43534168fbec86707915a70cd73a0", "053931267af79a89791479b18d1b9cde3edcb415", "e1e2b6a8944a4e6f195b6f7371ee9e6b0684ae6b", "b8658fc3b17e75afce025bcbb161dd02e7004b1f", "a251171bb335608b3019f7b05b167b7e49a8dc23", "187f3ee3bc50a1f2471edc80d707e4fa1cac5b0b", "0700d36427b3a6cb6223a639ffea11570400ab25", "c36ae7c5e9f9f992a5939e07283183707ee0a787", "40033c6a0b534a6023a78ee2a144edd7f10fa696", "b0b267117315e570209e92744d5ae4cf1927f31f", "303a7099c01530fa0beb197eb1305b574168b653", "ee34cfff3c1c0ffb71ae6231797129b459d81e3e", "3661a34f302883c759b9fa2ce03de0c7173d2bb2", "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "924ba14f62e3c8da005082401625b3f71587198a", "0293721d276856f0425d4417e22381de3350ac32", "46b2ecef197b465abc43e0e017543b1af61921ac", "85dc159dd1eec52147b24f32f8ddab135abeb8ad", "9f829eb41c2ecb850fe20329e7da06eb369151f9", "5e2b918f2dee17cb79d692e10aa2103ca9129e2c", "5335e98334e37114c5bcf076189d1cba887a813b", "687a90f3efdcfba4aa0dd35f91df383038ccac5e", "28a45770faf256f294ce3bbd5de25c6d5700976e", "9151f229e7b4e318b0b12afe99993da0ee5e0e34", "df78dfab5dc60927d1d1531c7f8be95792e1a5a5", "4a75d59c9c57da420441190071ba545eb4a75e1e", "55e66f369983474eba525f0f718c37794027075e", "c6752af29ae0d5f3af8c823be02cfec38a8b65f9", "3ef1db04e9f4d3c986d3eef5216562c844e9faba", "a9116f261c1b6ca543cba3ee95f846ef3934efad", "2dbc57abf3ceda80827b85593ce1f457b76a870b", "7aac397df8109d8d9ad55cc2c1f9a07589d58d3b", "96d3969dba2d1000f97de0b7cca50ea721d1f79d", "a627234002439d5f89da44bf83b8fd0b503812ad", "b908edadad58c604a1e4b431f69ac8ded350589a", "9901f473aeea177a55e58bac8fd4f1b086e575a4", "e1630014a5ae3d2fb7ff6618f1470a567f4d90f5", "3f0ad194165036a13421a8b43fd71313f8f1877f", "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "90ddf1aabf1c73b5fc45254a2de46e53a0bde857", "488601935d69906f925381b92c7ecff069a79dbf", "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "7e9b6aa4909042d5f1faf074c50383e465e4508c", "2eb1dc9d1cf571462f7bc616b0dc52c8e402e331", "816030cbf3f887cdc498591e916ae58fdd4ed29f", "927ac98da38db528b780f14996bb02b05009c9cc", "2976605dc3b73377696537291d45f09f1ab1fbf5", "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "a70fa8af52e4cc32dae09e6e753f1dd3ec198327", "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "09fc8a48b2a9746005b33743fca9bc8b17c724f5", "aca8c4a62ed6e590889f1e859d7bc79311fa6f4d", "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "703099734f70f0cc00773ee54b4385f89afa7afe", "8a63a2b10068b6a917e249fdc73173f5fd918db0", "deea683731f468c7234e1089f48c4546e7003b18", "dbb9601a1d2febcce4c07dd2b819243d81abb2c2", "c4f3375dab1886f37f542d998e61d8c30a927682", "4d3805141f21e88b1d32cf39e65e42ccf4287504", "969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce", "d56a262763c84d2bb21e9ea40f2517610f61d05f", "2fda461869f84a9298a0e93ef280f79b9fb76f94", "231b769f2e13724754fa09e7e5ab7d4b843075a0", "277c72916f3834cdba6c4cea1c8c651d2b46b78b", "826f1ac8ef16abd893062fdf5058a09881aed516", "6e12226cf0da453dc4b9879d7af6b43af3c31d2b", "0c049cc7320f9b92f91210ab6961aa6644c867cd", "1ac4c3ede7e6a630c7dcbf204a14a2215ce9f1cc", "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "7b8b1571639f901275da22ee8f1de852350bf38e", "3947fe473d8cfa443ea4cf6571d2aebe7b2066b6", "ab703224e3d6718bc28f7b9987eb6a5e5cce3b01", "1eab1ffed59092d6bf19900b7fb283e6dd0d01a2", "1d6c0e7b9591ea332671080df2e53119a34c90bc", "a49253cfb4f602e26b260733b22cbf0dd5f79010", "24e6e8d725f08c44dac42a588f41092e392a3514", "dc9915636dc5a3131493cdbdc02a52f6d64f6e2b", "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "bb35ef89addbbc28d960bc0cab70d8a29fdf6eee", "259bd09bc382763f864986498e46ab0178714f58", "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "b9237a613306050cd6d194c71c58a7f85bfb70e9", "05ab005c19a7c06c2570727dedf1d77df41b4884", "12a155be0f3d5e4c8bf08cc79fdb964bce1f4b55", "763b152aa6c0c6a2d4390fe0f61d95ed6f57d583", "e57ce6244ec696ff9aa42d6af7f09eed176153a8", "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "7a670b80c7e95b85efc6ef677cae539c4df20e4f", "91fe49e7d80aca437f1d951ce58e87f7353c81ff", "19bfe748ec8957ec82a7fef0f2585bb14ab8bdd4", "441d532b4207ca57b37eb210a79373c556d90846", "01d72352e96a3ed9aac4ddca76620014e8fd73cb", "21a2f67b21905ff6e0afa762937427e92dc5aa0b", "46e46dffe4f8b724ec51179b3be1ae321fdb2d39", "b40881a905cf6c4963658df4f64b860f9b1755fe", "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "6cb68c1f7558e01966ad1e1fa81feeeae3dee666", "29921072d8628544114f68bdf84deaf20a8c8f91", "add9dc1725f8b96d2f7c5e242de29205096e7c98", "cc8c5f23038663abf98874612a8b7a1bb000b990", "731d33256d42dc4146019954c46c566aa666d7f2", "a2a200fb7cce52a3394f15def028ebfad3dcbe1d", "d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f", "2b507f659b341ed0f23106446de8e4322f4a3f7e", "8ad0a88a7583af819af66cf2d9e8adb860cf9c34", "6baaa8b763cc5553715766e7fbe7abb235fae33c", "6f491fcff042991767a8d5c3a919ce169e0e65f0", "e0162dea3746d58083dd1d061fb276015d875b2e", "8935ffe454758e2e5def0b5190de6e28c350b3b8", "ae8ed3b0b8043c5af76390751938edfd100fa9cd", "1423037dd56f85453cd4257861821aeeb7478bc1", "53a8cb1e6a6c29b75eb683c99551288a5d28c1a5", "8c3a7bb72c59628e9b7982d90525ff9654854946", "9fec253eb41438a9ab13bd5156a18c2c08ff610a", "3965d61c4f3b72044f43609c808f8760af8781a2", "2776e8cff4249a7775c040731495878135972e77", "146a7ecc7e34b85276dd0275c337eff6ba6ef8c0", "023be757b1769ecb0db810c95c010310d7daf00b", "8875dcf2836315839741fd6944f249263408c27f", "332339c32d41cc8176d360082b4d9faa90dadffa", "2f73203fd71b755a9601d00fc202bbbd0a595110", "958de17ca69d5931bb520b0c10ea8ff6de06d46d", "4b02387c2db968a70b69d98da3c443f139099e91", "7df4f96138a4e23492ea96cf921794fc5287ba72", "755416b8d2080f5d9e894130e5115a471e9d8793", "fa59e9f47e2a467afc81fe1ed737563a3eabf223", "7afc3db34d9e16a70064ee4937b0425045cdb4e8", "6623d8efb11bdca7348249c357902a5527a71e84", "db49a5e6d73de616c66904138a8a19ce0a329c4d", "2a31b4bf2a294b6e67956a6cd5ed6d875af548e0", "6db593d99fabc7f787f41786cb2e37c084f1ad19", "a7a0099caf89bedbf4de1c61499f999ea4fc7d98", "09701199771e344b12dbfc799e0f82456764757f", "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "bc93a5d09aad16356808843338bdd34df6b5b01b", "c9a8ad7f5c08595f694e362e861fd3621d0159ce", "6ad5a38df8dd4cdddd74f31996ce096d41219f72", "19d1b811df60f86cbd5e04a094b07f32fff7a32a", "143ac3b7338e240b106863d35177c4567ef9c1aa", "40ee38d7ff2871761663d8634c3a4970ed1dc058", "4fc96ad5c9c0155961ace769f3a73b728854fa98", "c09032896722aa35a905d8905c1cfe67cead6e01", "b29345a35287e5e978bc1dea246c609bcb564ace", "286a5c19a43382a21c8d96d847b52bba6b715a71", "8544cce3a7f85e4952acf51c464f1fce15250760", "65da43d70b16fdb32b182e4ede59fdb9dc3f3350", "a94aac3caccebd82413dd05707ef8bf525dc46b9", "33bd8406c5630e3651ea514d833da8396d7a5c03", "3e0a12352fe3e9fb9246ee0f81ff7fbf0600f818", "79f69d04a9614fbeab554048802c25118033cbd6", "c9bbf31afbec278ca735e91cf5e9c70dd3aa41a4", "0a7a7b3f05918fb4fc33f04cb7e31232fa197f76", "f854faafdd6c4f4144012f1de26573eddabd040c", "40905b69c5d9fe95a25de37877f5045061c61a20", "196f815e31697a8271219552ea8362d7fea0640a", "b92f276ecf9077f7c09ce410336f8b9a819df4fc", "d3b5a52062e5f5415df527705cb24af9b0846617", "e579ae31f4c2a20490a1e774b1b959203be0135d", "2a6b48e5c972355c9fb91988b324c2faf6bb1c5a", "8bf7212a3ccaa93fcf202654c8e123a62bde71d8", "a1e198454bd0868b4da9bca7a35218dd235cfdda", "a1b48435f7a94304e6da617877201c16bd46d798", "e7f268bfe0016412db538b57300d46d7bd728867", "1da1903050c8af71c7bdb3cd608e1182826ef72e", "8d3114a3236ec9adabcf0c40613a23f00c272a1c", "95a835cdb5dc46e4de071865f9dccdaf9ec944ad", "fef89593599b78db7d133fc6893519b3ee8ff8d2", "6643a7feebd0479916d94fb9186e403a4e5f7cbf", "d925540a8cdedb92c7f20ebfd9b8baf36fe6caa4", "696bfa059fcc459c30af21c84d116ad77fb11197", "d9434e64e880640243f5257dacfdcc0355a577dd", "46df854f57b6553b4b3238779e46bf2a3a3fffcf", "1d679b371c9dfd833cee0925de483562d2bc7d88", "2f5d44dc3e1b5955942133ff872ebd31716ec604", "0b0b0d9b15613a6e3c4f9a4dd1c17c0313ca4303", "12ad3b5bbbf407f8e54ea692c07633d1a867c566", "95f12d27c3b4914e0668a268360948bce92f7db3", "ccf16bcf458e4d7a37643b8364594656287f5bfc", "5711400c59a162112c57e9f899147d457537f701", "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "1c1f957d85b59d23163583c421755869f248ceef", "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "3bf249f716a384065443abc6172f4bdef88738d9", "5721cd4b898f0e7df8de1e0215f630af94656be9", "4a4f0a47de1567f3f913e2632921797df36b2525", "1d49ee6afb82b5fbacf69628f52e76dc33341643", "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "0a6d344112b5af7d1abbd712f83c0d70105211d0", "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "5f448ab700528888019542e6fea1d1e0db6c35f2", "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "562b21e58805061f898c421848ec837a70d3017d", "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "5df17c81c266cf2ebb0778e48e825905e161a8d9", "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "4f742c09ce12859b20deaa372c8f1575acfc99c9", "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "95e3b78eb4d5b469f66648ed4f37e45e0e01e63e", "1824b1ccace464ba275ccc86619feaa89018c0ad", "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "8a336e9a4c42384d4c505c53fb8628a040f2468e", "3c086601ce0bac61047b5b931b253bd4035e1e7a", "671bfefb22d2044ab3e4402703bb88a10a7da78a", "375435fb0da220a65ac9e82275a880e1b9f0a557", "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "837e99301e00c2244023a8a48ff98d7b521c93ac", "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "30f6c4bd29b9a8c94f37f3818cf6145c1507826f", "5da98f7590c08e83889f3cec7b0304b3610abf42", "b4362cd87ad219790800127ddd366cc465606a78", "2724ba85ec4a66de18da33925e537f3902f21249", "4b936847f39094d6cb0bde68cea654d948c4735d", "33ae696546eed070717192d393f75a1583cd8e2c", "992ebd81eb448d1eef846bfc416fc929beb7d28b", "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "21f5f65e832c5472d6d08f6ee280d65ff0202e29", "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "500b92578e4deff98ce20e6017124e6d2053b451", "52d6740dbed1dc39601e5badec0b56021dd6ea5d", "deb89950939ae9847f0a1a4bb198e6dbfed62778", "e69a765d033ef6ea55c57ca41c146b27964c5cf2", "624496296af19243d5f05e7505fd927db02fd0ce", "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "708f4787bec9d7563f4bb8b33834de445147133b", "35f921def890210dda4b72247849ad7ba7d35250", "ca83053d9a790319b11a04eac5ab412e7fcab914", "ad5a35a251e07628dd035c68e44a64c53652be6b", "2c14c3bb46275da5706c466f9f51f4424ffda914", "4836b084a583d2e794eb6a94982ea30d7990f663", "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "034b3f3bac663fb814336a69a9fd3514ca0082b9", "64cac22210861d4e9afb00b781da90cf99f9d19c", "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "06c2dfe1568266ad99368fc75edf79585e29095f", "fd809ee36fa6832dda57a0a2403b4b52c207549d", "1b8541ec28564db66a08185510c8b300fa4dc793", "234c106036964131c0f2daf76c47ced802652046", "bab2f4949a38a712a78aafbc0a3c392227c65f56", "45429c281e30f9e87ebcd1ae42e0656d2ead24d1", "11fc332bdcc843aad7475bb4566e73a957dffda5", "696236fb6f986f6d5565abb01f402d09db68e5fa", "397085122a5cade71ef6c19f657c609f0a4f7473", "37381718559f767fc496cc34ceb98ff18bc7d3e1", "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "5f4219118556d2c627137827a617cf4e26242a6e", "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "1fb980e137b2c9f8781a0d98c026e164b497ddb1", "12d8730da5aab242795bdff17b30b6e0bac82998", "6ba6045e4b404c44f9b4dfce2d946019f0e85a72", "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "c46a4db7247d26aceafed3e4f38ce52d54361817", "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "266cb58a82ce44ce8f0cffbfa89e44227096f424", "8191f76d9df5c59186859c4834026c8e0fb42922", "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "89002a64e96a82486220b1d5c3f060654b24ef2a", "1672becb287ae3eaece3e216ba37677ed045db55", "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "029b53f32079063047097fa59cfc788b2b550c4b", "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "5239001571bc64de3e61be0be8985860f08d7e7e", "995d55fdf5b6fe7fb630c93a424700d4bc566104", "f354cd137fdc40a3ff6a4004f2a052966c275627", "5180c98815d7034e753a14ef6f54583f115da3aa", "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "0eac652139f7ab44ff1051584b59f2dc1757f53b", "1c1a98df3d0d5e2034ea723994bdc85af45934db", "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0", "f1a58bb78149f408471ce166a13cd9176e5edc5b", "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "72a1852c78b5e95a57efa21c92bdc54219975d8f", "f2d5bb329c09a5867045721112a7dad82ca757a3", "6966d9d30fa9b7c01523425726ab417fd8428790", "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "f25aa838fb44087668206bf3d556d31ffd75235d", "2d1757eb136e9e7ce79363e7acd76d67a053b727", "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "5810ce61fda464d4de2769bd899e12727bee0382", "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "80ed678ef28ccc1b942e197e0393229cd99d55c8", "8c048be9dd2b601808b893b5d3d51f00907bdee0", "e52272f92fa553687f1ac068605f1de929efafc2", "cc4fc9a309f300e711e09712701b1509045a8e04", "f61829274cfe64b94361e54351f01a0376cd1253", "88d63a0cc0b8a5303bdef286d6df118bb1d44d26", "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "ba21fd28003994480f713b0a1276160fea2e89b5", "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "08ecc281cdf954e405524287ee5920e7c4fb597e", "c858c74d30c02be2d992f82a821b925669bfca13", "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "f7ae38a073be7c9cd1b92359131b9c8374579b13", "f0ae807627f81acb63eb5837c75a1e895a92c376", "c17a332e59f03b77921942d487b4b102b1ee73b6", "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "b5f79df712ad535d88ae784a617a30c02e0551ca", "4068574b8678a117d9a434360e9c12fe6232dae0", "b730908bc1f80b711c031f3ea459e4de09a3d324", "ab7923968660d04434271559c4634790dc68c58e", "c41a3c31972cf0c1be6b6895f3bf97181773fcfb", "771a6a80dd08212d83a4e976522e1ce108881401", "7eb85bcb372261bad707c05e496a09609e27fdb3", "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "11ba01ce7d606bab5c2d7e998c6d94325521b8a0", "eb48a58b873295d719827e746d51b110f5716d6c", "36219a3196aac2bd149bc786f083957a6e6da125", "51b42da0706a1260430f27badcf9ee6694768b9b", "607aebe7568407421e8ffc7b23a5fda52650ad93", "052c2706203a231146ed170d2ba15b3a63afe031", "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "8dd162c9419d29564e9777dd523382a20c683d89", "131e395c94999c55c53afead65d81be61cd349a4", "aa4af9b3811db6a30e1c7cc1ebf079078c1ee152", "4e3b71b1aa6b6cb7aa55843d2214441f0076fe69", "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "c2be82ed0db509087b08423c8cf39ab3c36549c3", "84e6669b47670f9f4f49c0085311dce0e178b685", "266ed43dcea2e7db9f968b164ca08897539ca8dd", "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "cbaf7bef33ef0506e507a8910fe5b756e9b20e76", "d68dbb71b34dfe98dee0680198a23d3b53056394", "d03265ea9200a993af857b473c6bf12a095ca178", "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "232b6e2391c064d483546b9ee3aafe0ba48ca519", "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "1f9ae272bb4151817866511bd970bffb22981a49", "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "1fe1a78c941e03abe942498249c041b2703fd3d2", "b7043048b4ba748c9c6317b6d8206192c34f57ff", "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "93884e46c49f7ae1c7c34046fbc28882f2bd6341", "456c8c8ba65fb933166cce1699a2d12a37f60233", "6a13e4a294115c439063617ec31d26f156e1142a", "352fa54953cfe0da7f1547bc6fdc43e0e53595cd", "e44b644dba198a4f8de553c9795aee77c0d23f37", "3bc9d71a7d1d3641a3ee1df46cc45ec62ffd2020", "4cfa2fe87c250534fd2f285c2300e7ca2cd9e325", "3be8a8ddb40399f1b0c02156440167152f8b0cba", "39bbe9885ad1e12e79bc620d83f7768d2fc04994", "c4be56287fd666f9cfff257018a42e00dc56499d", "c3500a6300ac14256fc836a53eb9c56f007cc61d", "02d6df5060281cf13fbef68a8f1ddc29983fe8b3", "ca22c95ccea3e5ceaf95956811cb507af1bdd672", "c694b397a3a0950cd20699a687fe6c8a3173b107", "00e8968c5922b71bf3be2e9733fce82f3c40cf44", "77addbb49abb80ccd3ebfb5b6f2d3b0687ce90f7", "c7dd846c0abc896e5fd0940ac07927553cc55734", "d5bef023a7d1032a5c717109a9c1b600ee1e8a71", "8732d702aeb08e9c604b36dcaa5933aea91a228d", "fbb6e707c8a5f189d8ad416597e23671b884448b", "de766084610ee5db289e94bf2865369d6bb89444", "4cc0bcc342647693c21a0ca2cd1e4064faf2fb47", "bc99f98b5f1fd158cc31d693061c402a36222dbb", "19e4c7d3f3b60235848fdf1e2d23f6fa6f5b6586", "470b89e2c5248eb58e09129aa9b4d8bc77497e7e", "6414453e462f1a022302bce98cadd8a817629521", "4417258e4fe9e60d044a72197cb67471272991a5", "e810ddd9642db98492bd6a28b08a8655396c1555", "16f403ab388c27768155b466fcd828b4ad2a41b9", "59d10820e0a04d2d1acc43bb18a76c52e9946721", "b33e062f36dec4e49558133426b50c2536cb0a1b", "d3fa2f9b41e43a9e7ff3f940eabecd98cdd0082e", "01e5c95aa20a44eed21b5037697043e57f606f3a", "e1c0e8f58fa035048f7762e1ec9780c37be2af62", "886fc74b943011ce5ce192ff98d6ea9dcac7ef11", "2845cc51262f3af6aafbad62690a23e9bc847b07", "5c48f97a8a8217025abafeababaef6288fd7ded6", "c7fd727cc1b68a611bfda0e273d2524007651233", "94e008564e4f091a887fdda379e7d26d90920c54", "44bbb7cd8b3cba9c00ba55746867fb29df59102f", "928d711b592aca0635e3b4717f7cae31f5aaa9ce", "41915a85714bbfea53af9e65abc01a7b54e5cd13", "38cc2896058131e4656443aedfb1b9dae61b99cd", "27276945ce8b103b2341729e99da4e76acee19c6", "40ce2567ccc2552287f8a1c25e9f6086efa6bf8f", "1412f4024babbc01b671f7ee4a22d86db1545268", "426b47af132293e9ffe6071a3ede59cfdc1aa3fb", "fe4609fdf8fc8ea18204ffe673c2b06acbe8d0fd", "d2a8779b4f533e1dce709ced55196ef28e9a4c90", "5432392d916e730c53962be202c115133e6d7777", "4ed4b1fbba79a1f02c290ff36ee8bc4d78247bae", "a8e5d204549fcf93c5bea88b0f99a2e4da9648e7", "f0d18a5d205c23d1309387dfbd4ecfbcf3b1687e", "4cd85c27016362a23936d670b8b0cc0abcfe5a8f", "c2fafcbbf334447e8e3a18a2339eaff63ed2b4e3", "9899eb0ae24aa8c992244afe5f4455e9f96c1f18", "cd4cce724c8a33f72b068a267cd6152c31851013", "304fa45de90874e89b7a5511c88551994ea8c89d", "64753fe167a46208e28237fa98db8daedbef83e4", "bf42000d04efceab3f0f799a9b3f2058f91cf3a4", "3af0400c011700f3958062edfdfed001e592391c", "8fa290b5d92c1f427edb62d29988056383e02047", "45db5e4f5da9d2020b44fe2c0f0040d1142fbd3d", "167f0115862b79a7558fbdbb899458ac29ab63f8", "107dbd2ffa3bb26786ebb7bb57a308c7d1f4dbc4", "ca283c6fdf43b7ad59949207834a6a573381a9c9", "9e594ae4f549e0d838f497de31a5b597a6826d55", "f3e4d5b5d761387313a002a06aa66de625362987", "231e545fdb1a516e29604fbd740e207b6f25c7dc", "555b332252522fce0f31b0c0b7630cf4f36ba0a5", "6316f0adb6e2ebe503b7fb623ab28d7b47fef5de", "0136bf1d3747770a7fb4fcdeaf0b4b195815ed67", "4c16fe03bb96328b715acfe40491a90034858800", "f0fc82cabfbb7d7a8505ef1f78becaf179b9d72c", "87e05a26fb4c45dbe2b0b10c8ab20e7662d46912", "a10a3efbd1e2b6f997bc0a64ca0539e80f81ec7c", "710ce8cf25f31df8547b888519b414187e989257", "07eeb8f39f7d397a2ab236ce830c3b5c19adf9d7", "132781c1b2495ff0e792b46b94fdf33867394e4a", "5cd58501fd184a0fe5c05026ba1965ad12e68205", "a2e7f4e97013239c8d25c9f4eba71ce313ebb1bd", "7bc8d81a38899b60704681125ec4fc584a3e7ba4", "61e97d8440627bdc9772b3b2083c65f44a51107d", "c72ac3dec0d0b2d5ca4945b07bd6b72c365bdc13", "9941a52ef4db2eb338eec061a950af6a95f82510", "1750399579e616cc3274b82f0c3c10562573e2f7", "24486f70e0fa7a44844adefe352b18aaeb04fdb0", "161eb9ecc119952c137959e87a796da0f3c62cd1", "bd5c222323d6b46ea71f329cafe11d38533f6f3a", "9c571732af31360b79cee46b1809d98a42423dc1", "76c018c6dfc81f61c3912c5ed442d9a72f64e467", "00cb08dcef72bfaa1aab0664d34168615ac6a5cc", "0b8ef6f5ec5dfc3eded5241fd3d636a596b94d26", "9a7b7d61481e3a5bca1ef809358d46ac87405f67", "19a3374ac2f917b408b4bcdca33fc9e9fd7ff260", "30f49d6595359a4a18c728ec83f99346d1e16348", "50984f8345a3120d0e6c0a75adc2ac1a13e37961", "908fa5bd0cdeda8b321b8b86a17ae44c1b0983eb", "38d9edb98ca01b0b8deee33b4705d8c9a927375b", "2a8d0125c8d27699ccd75c76bda774e065060709", "324c91551c3cde44bbcb9d97bc14db7ca6d31850", "9b2607d4a8f7252bf13628afa1b5e5cb55ca65a6", "0b8abd8f45d161d2e9a2b2bbdedd4e103f2d0efd", "303be881f6cd4907c5e357bc1bb5547d8ea1da5a", "15db3bb041ee06a369f0cd478369c75618a35387", "9af4d310415afb925e157e7120b7aa596298888c", "9016d7e5461aa3328efcfb74a7624487c4db2ffa", "8c30b154811453b6a1017bb27e3becefde44f689", "06f2df0ec9ab6968411e34f581dd8f5d40500d7f", "f2da70f632db70eb42cf5bc5e2428f4bc53909ad", "c61a5961a344748272fe51ddf4584b22d9c10cde", "8b98aa8be775eb4618779a682ba994b36adba24e", "80c80df96ba7e4df75802bb8710318746cc5d9d0", "080ffa4c89bf85f9610f413350199b52898a554d", "14151dcee2b86469eef5d28036ff068eeb428064", "e0d04853f1d1323130d165a69f7cc939986598d2", "cdbb1f8c13000441c5dacd7dc26774315818a09e", "9be3bd737c1ecae5fd895583dfc0613926abeb6f", "cfbffa4d143a72476d962906e413c5ed6306b09c", "ed732b3a1f8fe733686a35688b090f426d018f9b", "a951f9b3aa95fe53cd9b19e15ebfdbde3fd5af62", "7e2a443cb069f1e3b0d7c41fecf55774ac584895", "d4e99d6f9e91fcd58c9fd00932d1197a9e03d08d", "f780c064fc7a3ded0412a6eac184ada57338f650", "3c917f071bfc1244c75fca3ceed0a8c46bb975cc", "06a33dfb6365762c2f83f3ab975d982a27b8dbaa", "69d9b79757d76b73ed940754f4d05288b76eb8c3", "5ccccb8df66e5b2b88211ffc7335d356260b801b", "c34911e9fefd987470edf8f620d9ce8f0030339d", "21bdcd9be2e9e75ec1d060d8d748a372d9ced230", "04a1f6d15815957562932f030ce7590521a27763", "8f48b2da711417d1f1f39069501577c84abb8d37", "93e16f85ce6468f25d53b4bf03e7251012c464ff", "e8d2d991dcfb12b287ab06d282a86802e565780c", "4af997701ce14ba689f7f964a72bcae0a2432435", "d4e4369babdba158bfdce1b605f92d6b1b665be4", "e37f0b9dadc0bc6dc56ab0fb2c348dcca436bcc0", "301662c2a6ed86e48f21c1d24bfc67b403201b0c", "c563a1a197e8e9b5119063a8fd57fa5a7ca0da03", "2fcd3007f197fa2c799978162d49598c4180ae69", "c64ab3ab8b8276ad6ea9dd117ca42a2fa0efc8db", "db20827ca6343eb46dfe9a207248c4d50f1d72fe", "3e50ee66e4bae05600f38170847b1d945e2f99d1", "7105585fd49ba914e980c45cd72dd2cfcabea7c9", "5836c6e12eeec6bb14c71189f30a24422847a694", "344682f69dd9bec68d89a79b0b7f28a3891ab857", "bb1a6080072bd54eaa5afa1d29cc02525946d7bb", "cc78b2d4d0f756941356074bb17e8e94f7108eae", "bd0d93e67c0b439caf372b704a377670f0c89be8", "f650aa86c7ebd31fa079f4db62a53b12f1b5d61f", "68becbe61cf30ef93b2679866d3a511e919ffb2f", "e9877c4fe5df59bd4e705216ebc7d5ceb16eff60", "d31e827d7570de3088f7ce582a4be2dbd38dc1b0", "f412d9d7bc7534e7daafa43f8f5eab811e7e4148", "9c62f4b09ca590f74c75115184fc1a9833625edc", "f2a90a4b597e440182f722e5e1e154d9986b1e90", "872d1392408358b88490047651052c87ca754040", "b55489547790f7fb2c8b4689530b5660fbc8ee64", "9078307c58d74ed6aab70363a5addc054db7fd1d", "acfacced2dce0fb4d39907b3c3cc22b4eb63e7dd", "b0b628bda8a6c4267eeaf91420b8610400ff398f", "d37013e4ce0f5dd6b61a4ffadecc401274966602", "06ab50dccff619c58bb699ee182824b5dca65000", "7fe4ff1e2861830c16a44526cceba39e3677b22e", "8f5566fa00f8c79f4720e14084489e784688ab0b", "aa01add66c95fba6f71d1399d0d8667356d3de34", "c1bbcdf3b5901e3378a89808b07e53a502c295f0", "980fd3fb067215017af8d13381e1d95fe3a34727", "122af84cdd28be10b0a8d7a82b9946738e086024", "4a9086cf2637b7ea54855187b978af7a89bfceff", "ab567ca60fc3f72f27746b4d9e505042ab282ca3", "e00526ff149bd61f6811ba2f2145ed22d9306319", "94bf6b804dfcedb0bf6b0d5c711bb7fe305f3704", "22f7b7e6d4997a489bad794d44c6e02af7a1c506", "e4d2cc8fe567e8e1f2e0c5eb751ff9e9361346c0", "083ac08287af7df220d88dca2fbf5b1812e35ee8", "2e55fd3f5138e55250aed84a7dc17adfc34970d3", "72007faf3bc77e1d98d3552f36c0b6b74aa9e379", "71912976a7a4a5321b7e7ea20163fe3928cc5b71", "df518051c5d10da2c772cef2654d6612eae0198a", "b1ec55cbf2e9a6785e1f1f2fc060e4171ec88b4b", "4168fd6fd9e672223fefc9706596121d653e39ff", "945cd58065f923e3cdc46a28c2b3f0c22ebfca9e", "f2490341a21e54a800e5ac7a1c0a25b60f0e0c36", "1be9ee50f4d4f59b9761a366bba9127213dc4f33", "6872615b0298aa01affa3b8d71e4d5547244278f", "5eee9c417157916ee66689718af65965c423b2b7", "e75255911aa88fda7c0ce8b42b0ca2d2a43bf33e", "6b3ef0e49fac54dc76a8706b8be1f724ca6ae32e", "672f32b140360cf6051c1ea22851d1f9e2f9a153", "0a814669f4a0198e46a3a0d91a1bbb81bb089216", "07311ac342cbc736030bf698fe376ee64a11a3eb", "2e53a5dbadfd30b834feea80c365ffff3925eb76", "969ed0575736943c2db62793583f99365d10fbac", "272c6b6ccf144954a154b83bf5789341ee3f9ed2", "3bd8f6577bd4dab492f9a0836bee1d99e461f028", "040a3fce405aa203585f8037caf5631cd63d8cd9", "bf5064c9143fe2ec32abeff7351db82201372b7b", "0f5e10cfca126682e1bad1a07848919489df6a65", "18fc6bac478f069dbf35f1ebdf6f5d7d711872a0", "badef8089c6b1b4cd479ea406c6b7358b68d2c26", "0f42c64a74bc6e3e83821aa8ab5dd8e3a4b797cd", "a94c3091be2090df6144bd121e41e7dfa96ec0e9", "630d88e479046ef18e1b801bc37e2e1b3df85cc8", "8a7726e58c2e24b0a738b48ae35185aaaacb8fe9", "3412d9f3c620155bf3eb203f5817a310000f0c63", "8145ff6adab3397a5ac52cc62a7c53dae59763db", "033998b0ac8dd5b86693bd0d27cd3daa00459c17", "1d187e1d0e9eb874f85e3ecdb75ca0a7bd98d8bc", "f7a91f74b0f8ac03459770bf4ba20af58a72a559", "43de246e9cc197623e27ab41a69530a8d121c77e", "6d84d92d9ed6c226f0cc6401bc425a23432c9f96", "a4b80c31fb4ab8d5c648e809bef01823f13a8b08", "122cc9d15937d3d24a51a69e45440544d8aaaac4", "1947791685597368400ca0429695658d1f68541c", "8d97e0102b5d89c62e5c6697eeaaefc82b36c809", "40f6c9355dbf01a240b4c26b0fd00b5cfbd5f67d", "e06f6d6b473c8966309571931143ccf646ced981", "50894e607cd5eb616913b520c4e238a73f432b86", "f558a3812106764fb1af854a02da080cc42c197f", "e2ff4d1bbd6333763292d9f605855b14c27b550b", "fb748a6953e72ad6d508109f8d809c25570ff07b", "a9b249b42a64cedf166a49858cc94fe930f8a1b2", "fd212b37ebf5a287478261f31b214e69ccd37cc4", "f9028b47a4755a7349108b1dc281f13add5c6c12", "d83403dba5dd0f822f1acaced47b4ddc93e386b3", "2ed18139791ad8287b085c1539895d587800a373", "196258fd1c722574680a72ae8fb4cb5132ff7a37", "8d96fbc52ffd784dee573d44e0c47a3577fd0266", "743c7e1aef6461d6582cf8deeb5d518e45215f89", "06e15d0d6f92a11bb5b46b5a3e0250cccc452c92", "0e610db9b0626db3ab64cd7a8d2c4e49bfc48ed2", "50bf19a06915778a0bcbdef700f91b56258a4e1f", "60bd1d33d74619f08baf0d7477b3f8cb8fc711e5", "6d7ba173121edd5defadfde04f7c1e7bc72859c2", "25560ab44f2ac093c2ef22daae33b0dc9b828901", "381d15951b5beb2456ac016ac7f15fd27aa07d1c", "139ee1b1d98e7ac9d659a5d1bbe8c75588539b29", "b5872d6952a0a073491e845c2071c5b06d92ba29", "ca400e0c7a739ce5555b2e3eccccbcea65e71b11", "a45ec771ca2db81088c52c173eed9ec2022a8a70", "3e42e336d67dad79ab6355c02f1f045f8a71a18f", "7e37ac2a1e70ba2acdb9a563267431cf4cbd5eb8", "0a60e76e6983e1647469172a50907023913b0c9f", "1c8b08599961bc19083f4a501b7ab60a03ab972b", "b1e27fade89e973f4087ed9a243981b0e713b22c", "79f12f28b060221f3b80ea1b7b16779ef9362ca8", "88dc2b2f6d033b290ed56b844c98c3ee6efde80b", "8e7749f635b161558efa3e98a324e88c73e2b18f", "1875b2325b3efcb49dec51c6416f40862db4fe74", "ea251fc90da36fdbaf7be76f449a9e0dac1d42ef", "4fde52cd3af5c698f0807bc3b821ebb3a270a986", "9a3ea7c922f5df1af6b14df0f71f546243f2bffb", "21f5652d4f88ac039c58aa530328e65a39eb7b38", "cb3d38cd18c99aca9c2a228aeb4998f394c7b1b3", "c6d78245ab09c5690e483962dd51e0408fbf5cc7", "1df1aa9179506554744bf16b238d05ebd1e2d4d5", "fdd94d77377df6e55d14e41a28141dc241d8b5d6", "55c6cd3b3a0c0335de050468f55a5cc4bdc30681", "1a515f0b852c2e93272677dbf6ecb05c7be0ea2e", "85401b669a989da15bb3d2b37d4598c21d9d061b", "cbadf6b89571d387eb5f1d56ae5671ad16ed1155", "2eae02d59a3f455f3714ce674d85d3f073c9d7a2", "dbbaa5d4a5d04267e5be454624f8d3be8265fe7c", "bc3a7dcc237041aa4b0d70e07c9bc441dbbc9c97", "bc8e1c2284008319ee325ff7ea19916726235f55", "92373095869f1b9e93823f0bd16bb8527c1665dc", "9090d175a155c6d50dc534b404cea7927e94a198", "019a95631c49011330773e953194a0c73c61f3f0", "bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f", "37fdb70003ab93267ee6c75a333cb62d9e4d0798", "bf3f8726f2121f58b99b9e7287f7fbbb7ab6b5f5", "aa8cec9cec1f15f95bbe0ef4d7809e199de0f30b", "431e80aeee80a74f41d8af1336016340cd8e4848", "89f73328e509e3ab2df01481cf55cb53050f6343", "527dd9647c474490ac33ac5b0a19aa76b226610d", "77fe6c859a59ac4438794d38d018d1e3c02d36dd", "f06f3e1cef2d04af915a932e83b22e46a45f3b73", "2eb96e784d2b34ba56654ebd0f357f0b121f73cb", "1450b9f2e69e2a4d0400bffaa535712b5fbab562", "c495fdc195f30ca853fbdea45bf4e8b59e1632bf", "984d5ed1fa80124117fdd0aa9a5be69f269da268", "182496e9533ad3a5eef6a06b815a276c18eaea2e", "fbc5de479d74d4adc95e111ffec6a417a90bcb4f", "76bfa74a6311db5d84bad2a7a941f30dd750d01c", "60c06e5884a672e0ba3bf1d3488307489583b7e5", "23ca7c4367f7317c61ebb0574e3d04cfd9bc3893", "88132a786442ab8a5038d81164384c1c1f7231c8", "7a04b5db3f589ac857b51effa1be3eae7fa8dd4e", "c3fd3b9e0de036241d6e0f94fdc5364551e10b6b", "c52d7271abc7578ac47b6550dfda2540486f8320", "10cefc1ec65f42a25670067683c30d92873e7023", "32ffc4f2665f0061b556f60c4db0f3f5999ef004", "0449b56b6b19a3c42766962782bfb88576b5bd62", "baa1e6894024223a928aa00be698247ae253e7cb", "25d58e8c9a0c46d44dede888c4548479e8fee994", "a1e1e7e976c22af9de26d9b74c2ece282e20218c", "7d513b7c22d8e771ce657489bb8e515dab897650", "de46cbf18c7da9efc9368241463919e22230b0b0", "c1bf99570889a43ba2b16e6141b365d74608973d", "8aff946f5d678f689cc9476e48d8b122671205ae", "58c84f968b7b7d61f6073e1a8421ffad1597a46f", "ea5eaaadb8bc928fb7543d6fa24f9f4a229ff979", "30256c10cb7ec139b4245855850998c39b297975", "4bfe7037b2d92215aeb5e116988ade7e6733a6b9", "ac752e998ea646411438fd517c36e1e8c6507d15", "12c5cd899d5ed85741197baed191f3b8b7fac495", "45dee419077eb71abb6687195d97b0a7867c867b", "6e3d95b039a013666cb0544926e6cd2d4d2b8798", "d7ebd31d4616c297292a36785727f1bc5b470290", "178f9df87c6a5ebfd850695b0df026c8fbf2d287", "4780cece6d4adeb0b070fbefbd587b89f4acf3f7", "0e4dd115461e3dd608bcf809f4a8689b994fef29", "c0ead9bada2fb7cdebf7dadbc8548d08387966ae", "e59587d5a5e8dd6d66912bd06a12a2665fe8fd07", "0ab06a5d8c13470d2808ce5b12839c0659ce1d3a", "2744d19a3026a516431ad92f1b60a9237aa2ef6d", "7a00365f9c7bced9ce47246794932f60564cb662", "34ce6a2b0f4404ef4f2a7d3eb68718454840fb10", "d487d2f13590747f2a405e53bd137bd0f50ae4c7", "328bc4d5495723f9a1037660b5d9c1176713bf24", "b0e95789aadf2631576e4aeba44e96ad9d26d1ff", "9f61362052e7675b3053a9d1b682ad917ce0e3d1", "a2f69a94380ccfd463886d26f07c4dba791f84d4", "2a87f95e36938ca823b33c72a633d8d902d5cb86", "7180cb0c2773be3c15cc2737fed0fe19b08e1538", "d8f74df3b39204fe06c648796a933506d9980f5c", "f26b3a916aaa50fe6ef554fff744559815ccf954", "84a69f6357b137028e3aa51376ce2dffad5e0179", "619d215c2e80eedcc5a65c00fdcf5852f9cdedf8", "3caf02979d7cd83d2f3894574c86babf3e201bf3", "29a606ba5b9ae9bc16d05a832d4e54d769c63dae", "2fa04fc0bcbc92886902a62dbf538c490084efa4", "25e62096a44e3fe2f641b492379e7c4babce7ee6", "85489639f395608174f686d634d6e27ef44c9d77", "ff825a46f0a4e9f6ad748aeefd18f34f6b4addfb", "2666050601ce1a7281a9154fb781ebcb40695863", "ae60fccb686272d12e909c9de99efb652e0934ec", "91d94e1b92208b3cb5b0f4a1e48b79fb5851c381", "3064424c1abe01dd2f4d2c9022f5ee1312e3cec9", "852bdbcd091f48e07e9b989cb326e631e2932d7f", "db06ec1ac87394fbd66c16040c10ffeee4877799", "580130144d9a123c499d6e23fe0b934dffb00c73", "70428cd53b628b120128ad4e8f9201231e2713c6", "d20e7d7ab8e767dc1c170ca2141d8ba64a4d092b", "c391029d67e5a0c352f9f328b838cb19528336fe", "480810001ed845ec04a20b00461a8a82fcffbb52", "5727ac51ad6fb67d81cc3ef2c04440c179bd53ab", "2e02597b9a8239700703920d5b74f765576d6f43", "7e51a42049193726e9ac547b76e929d803e441f3", "0a3a33b872c84dac88bcd6f5bd460ef03584e0f7", "3f688723fb984bce9b60329f8f1ec3346be7f7e3", "c28745625f048d86f2ad0f38a41ddc0683d36a96", "feba048e15c1931086f909d4be04ade134942947", "e5402d593fc55c337594a4e0d31c259e891e7596", "49b3f6d8712c01f315686b6b8541eda8c5ee428a", "c6dab0aba7045f078313a4186cd507ff8eb8ce32", "656268296532913eb34929e82ee19808429de06a", "23fc6c6e1cd52a77215a285a462840cbb96aec39", "3b6310052026fc641d3fa639647342c45d8f5bd5", "c1dc0e5226eb8d92d141fd8bddc1ccdc797698da", "97bcf007516cb70d8cb17b7de6452aa06c4b9c76", "715b79490e57a2e057d4868e9c4fb0e1e14582fb", "a0fde5b5f8aa197380da30210c10c8c3ff2a25df", "3825b2ccbf2b305fa051bd7b62306108d61a753e", "54f892f62580c11a5742f60ff87f8231406e6502", "df28cd627afe6d20eb198b8406ff25ece340653d", "4f922f6602f39baae94f63954005776e1da05671", "421a7b0b6cf45ccba3df41a99fbb272d324489d9", "2ea8029283e6bbb03c023070d042cb19647f06af", "4e6b3c687ad5a78e97c1fe3c1a221bcb32e36bb4", "64b14354afc0e33b1786c0c5ab1af46e76b4631c", "dcc8c248ab26da04760b50dec4623ee6ea099ef1", "8b9c53e7d65ba7a7be3d588d00481f2ff49b5ef4", "3b6602e64e62e5703151d17475d4728bd2095256", "203956dec006b8c313bfd166be58d1e70b3dffd9", "399ab5652908d99a5be1a664425f6463f67df2aa", "621e2686f2113c2181653b2fe524a09eb91d5baa", "3315329b633116fb5e1e8400b6932bab41df58c6", "0856622ce2fcc4e39fd396427abae90cddf78fd0", "d1c103c63d930d3ae7397618f486117a48e35f16", "6eb5db8e6a79ad59bf4f4a5fccdd5b10237408d7", "20b8b3bad07b31e8ee83b2d865266ec58667992e", "ec40a234a74b62a9725b0747caf08d679e757429", "0af68a284808a8da294e0ec18b9879e3f7a5b21b", "e7f4951c1106bff0460665ef67d11fb9c2d07c41", "6c0b662be91c0e09c0caf039cb7c80bdb01d7198", "27eb092a9adbfcb3aea1b13bde580f1fd5c7b8f0", "ce282197f226fc757af4d27cbdc3416ca62ac5bb", "7d057676c9ba7b313adf0b191f64eb26ac2f9dd6", "863f2a473e9e60dbfffe9f7eb576b9bbe3d3a6b4", "93a66d470c1840d11eaa96ead3b600450b3cc9f8", "1ed8c43191d240a71dd2758e47e31be13660addf", "786f2e480cb81c9df8d213ac156a5333946a2b8f", "693e6afdd6a104181da54471122169c68d7ddd7a", "b13b6e3dfdf6d708a923c547113d99047f1a0374", "b47dae9d6499c6a777847a26297a647f0de49214", "36d487129fd0b828255e417e0d10cf13d7f525cf", "f38ad869023c43b59431a3bb55f2fe8fb6ff0f05", "be7bb84581b09f47668966d0cb70df0876c84a21", "bc4537bc5834b41a631d9a807500d199b438fb27", "e8e8f40ceff8b71d5dafa6b680d40690dfae940c", "67bf0b6bc7d09b0fe7a97469f786e26f359910ef", "a0d1e2934e6fbf42175fe6f04c281a976dc33975", "05fcbe4009543ec8943bdc418ee81e9594b899a4", "9e71ebc94e558cd7bd343959bbe59ff9b817171e", "e80635b9b48df5ad263c51ecec62d7d4bd7327fd", "f32a06e6a9b00c3db88e6f4bac235b7d660f5d8c", "4f8bd3519a6e8a05db9e35b027c0c65c91d2ff62", "8f0b6845689a0b6adda2feb52b9345f9d9a2a8b3", "887cd2271ca5a58501786d49afa53139f48c66f3", "df3d2f514d41c0c37293d88d4a594e5cfc6c3bea", "8990d4dae35481774239f3eea4662887b43c779c", "2c7aeb73447bf6d32630aaeb7a18256b62ae1674", "5fc371760fd4c8abe94b91ae2ca03d428ac05faa", "c3dc704790e1a170919087baab0ad10d7df6c24e", "f0865d11131a84ef1d91e1c8b5718692f153267d", "33430277086192476fa6c32eae88688b0cb21228", "c0efa1a3cea5b1f450283b81eee9942defaad4d2", "045fbe21ea8e501d443fa2d297c1292264712c62", "607bfdbf583c4dfa29491eedc3934f2293e1fa96", "3dd5a70191613e0867d32f368fad6ec25c63cfb4", "de0157390682eebc838e271f4fe8f704251ddef1", "ef29e5515b9ae3af358e511a7faa8cdc69bd073b", "ac56b4d6f9775211dfc966e9151862fd508d3142", "bb534e04c39f807cdc38ca9acc29e26fe7f374df", "42b4e00e55d3b61da5a9054ba038f13600e70f9a", "34fdfd174a8cc7d11bb28494ecbf4a85c88558f9", "aeabf3d23d09967d182d1a95837b79d46689592e", "b327fe29e568e7bc224f2f05da1662abbac6a8e2", "8e7a6e9da1d57809fc2c12f11d3a26b07f5ca9b4", "5adfb8a5b37bd2784ac3e16f556841c2befb3931", "b903e77d8f4377b96b02e6e5fae5745e87f1c522", "1ac20a7a76f7b83ccd8ea0aab64e2b24ecd23915", "e7f00f6e5994c5177ec114ee353cc7064d40a78f", "0f90a76b8cfcaea8ed0d24ab958295848f7c98fc", "0a55e4191c90ec1edb8d872237a2dacd5f6eda90", "253f98d7e8005fb221a1fdfacf576401591a5db5", "4a4a3effdfffb51a0f82d3b0904c017086996ac6", "899333d57c2b2457f7240964311ada8df20c9ad9", "08cc9a589cbeb5333751ef030a3f04e9be531900", "ae87896c38f1871457d811a0588487db0155a833", "c6e99ff40ccae0d7ce8e32666ed7f75e3a381d9b", "e096db52fc8316e66273b456c58b073f9b689074", "d6ceebb0cde7fb0fbe916472d7b613a2d7d2e1e6", "d409d8978034de5e5e8f9ee341d4a00441e3d05f", "053a4e5a89716f3f9e71bd09718bd9021a5114e0", "77646ba359a87a5df2605ccd2a580f2dadd017b5", "fa7689cedcf2f0ddb6fa4a3c0dbefc6fa63e1a14", "7b9ebcc8b9c05ef661182fe73438b7725584817d", "77dc158a979731d2ed01145b1d3ead34a6c33487", "7db5404feaa08e3e53bbf4fea7d89bcf509cfdbd", "b778c0e5ec6cebbabc77fc56f9b7438f2974a4ea", "34f2bf9e98fc234d2c29f751f59407deef4f4404", "c6657c1263bac59b006d1da1174ec4bcea0dff3d", "56c701467da819088c3f734f3ba36a793d645992", "99b41df501f25f4aee9c1f94a75510b2fbcc6bed", "14f67bc2c25ffb81c37d39da9f1f932c4a16efba", "c372356800ae51aebf8054a0d16ccad77bd06e41", "57ce2a7078dbd8e98266270e1c3c78e71c7c9bd3", "05b9a81aadd8827437dd857bdcca0a39b13bb1b3", "3f600008dd9745e8357f5b7b3c1a69b8be6b7767", "58a11053cb0d1322900273a450e4adf371252cd5", "addbddc42462975a02f4933d36f430b874b3d52b", "a361e820a85fa91f23091068f8177c58489304b1", "8b4d8c26e4f76ae55474df2a3753bbbd0d75b8be", "5a6c021f80d82f3fae283865b259e398f9ed0f32", "03d10c88aebd7aabe603d455c7bafa9231c7cf51", "4db64fbc3dd2486a74dba3350d44c51e561f515f", "f2bc0ab0cdf34a1df441ed9678489cb810474c84", "b239b39c08a08d9c3b1da68a7bce162b580a746e", "fab35a4ecc333dd9cea0ea839f18454e749d3509", "07eb30d6bcb96d7d66192f0cf43038eabd6fdd13", "c737e65d7e8696f5a2878ac623c61aeff434f92d", "403e7fed4fa1785af8309b1c4c736d98fa75be5b", "7a2cee9a210e7b418fa6169f8cf027f7993a3ee5", "d0462aa7754ffdf39962e2003344937258a0e42e", "6b5850c5a288fd26480ebcbbfc43172597e0d442", "281114ccee453fffa82a8b1bbff47b38e930f9a7", "6e1b85aabb132ed741381fdf00909475d16cd3ba", "57179347f63dbabc298c40dbc0fad92b4ac12b83", "c2d065bc8067384c40b3e8146cadc9a0c4c1d633", "5cc9fdd3a588f6e62e46d7884c1dbeef92a782f2", "257e008c01a32b9b642553f3f1e59e61efcac4a6", "e534582cfc1b98001fa1ad17cc1df47aeab1257f", "a1f9ef1236ddb57efc1ebbd87a1a69db9bc38c4b", "38b0a67727dea3fe563e8662517bd0fda2fd5e06", "794f76c111ba1a4ca718e84ae74ee8d2a67c4173", "4be117c52b1caa9d7555130652ee8a1492b1e7ed", "68b44eb4c7440046783146064ae9e715a72766dc", "3737961f634876f59d4ffd5bbd198bf38b2cfdda", "b8471908880c916ebc70ac900e9446705ed258f4", "02b25bec70f500269e547014635b42f556d8e173", "718bb5362dc0b3bbc89216f73ee46ece36c3e775", "eb33adf3f8eb5c07b58a1433734ab1fee5d77c93", "b63957152a0f37ddc99904a5bddb60b3f056b8cf", "07cb6efa6734b5cc22a38b0855189d12791a0551", "5741255d30f4848273c921ad177b32ff1cfe0671", "f5050ffebf973d4d848049dcf661891acd950b82", "1067ef2c4d8c73bb710add5c7bfe35dd74bcb98a", "431f013143de3159c0c0033fee2fb4840d213b6f", "531a40720f2809c560840e6d3afb11a31ad0b9a0", "c8ebe4c7d884c468d572a1ccf8583ac912215088", "c1087c588960dd7c00a2b5feed57fbdb70d066f1", "1629148029595a5c728edb89aee90dc4797e9881", "d46a5bba21f897f1c4b3366dcb663820ef1c282d", "fbff92bd8ad39aeda14b7547ecd26ee602e065dd", "812a6ced985317b3b9429ef0455645a9744af6d1", "c3c73bb626efec988aadbac519c61810710282fe", "e79a34f9942172ad97c5fadca3701db3e29d32e2", "f8beb25e944004d283e1b347e3473089da244335", "0a7ae4e41ea12426f0692fab66fad3dadfca8148", "db63c15fb5f086667091752e6515647b733b9451", "1d1fe1bb2cecd94b1f905cf1d0675d214f6ebc50", "8954d46e1d7a11b20b2c688e5fb8bce4901650d6", "804d856f09602f2b8e9184db155bf1b9ab7f31e7", "d930d20ba42a5d868dd78dd73bac0f72110e0bc5", "19d414907377e60e8db604a8c32852119533c8f7", "78a2a964b61308f683fae6f3a62e3a8aece51bae", "bdf64dd341925ea7b9b3abbb49cab3cf978f8e21", "b5f5781cba3c3da807359a6f600aa19c666a3f81", "b8b46df1b013c30d791972ee109425a94e3adc06", "8e34de64c9cbd5d62b0ce53ab3d99092605d6c94", "70990e1b13cec2b3e4831a00c6ac901dae76b27a", "f820bca64665ac90fbed5881599a049198d71118", "6dc41784c56de1925e6a7be8ddfdc68f18a21e55", "a2ee76eef0ee147f96e40a6846d178128fec68a3", "30e18a16d4c7092694d55743ff92965e5dec2692", "c793a38c3d16b093c12ba8a9d12dfa88159ecd38", "6d5b0f6e5258d370f9af8a2cebf035fe61905db1", "ff948365684d3aa1a834deb49f326e264b56677a", "031c721ce468a136b9bac87da7274229e7b967b0", "f7514435495cd76552a4de01652a08ff8c2863c7", "4189862b2ce9c71e1b451deb58dd42f50c7d04a1", "5e74d92d841d1bc1c9c2d80219f98bf892f239c4", "635e3ce6fb0b28f38fb77f25770911bf08f0ff03", "a0453a7b2fe97280f1e33b22619991d3e5aeb989", "4bfd8b4f673c04ab9111e7d162e84e8926685c5a", "7538ad235caf4dbc64a8b94a6146e1212d4de1ff", "72944b4266523effe97708bff89e1d57d6aebf50", "02a2fa826a348cc3bc46a1a31a49dce8d06ca366", "e20abf7143f4a224824c3db7213049dee2573b4e", "b0d6e204c36f029300787f6334cb727325f8983a", "040173a26e1dd6c7ab2e636e2ec3dbe0b1349986", "27421586a04584d38dd961b37d0ca85408acfe59", "40f2b3af6b55efae7992996bd0c474a9c1574008", "eb66b3321d53ca68161c2caa2fe4f228c40c003f", "954af3d46d023d73c7ee97f2264451080f542084", "9b762be133142412ffc08da9ed5d13cfcdb803d1", "e6868f172df3736e052fec4c00b63780b3d739fe", "22fb836a593267d9ff09a4d12aa5b4a6fd52c81e", "a943f3987999ffe1c50d944e79568a53ab18a5fa", "5a383940c769660e53558d8f4bfcca7f5c730e75", "3b4619b1e138841800bae12ecf5263a0290782a5", "cb310356d1c5f567b2a8796b708f6e1e10fa1917", "722c33bfb4443f4f0a98ab709d40e379e7787c38", "fb03d1500deb642c53a6523d8011a9e8f8aa983b", "8711d150bce8691c61b2a29cf9efbc2747585569", "e2af85dc41269bc7c50fcf2fb35bfeb75e3d6ee4", "54760ceffc46a7a5425260834840fcfe910e0f3b", "0adace244eb8d075cdd3fa67d653edfff2fa200f", "09798b13739edabd55830fc5589d8ed263d62c82", "c2c058afe227f2099aae4f204688b22239d6837a", "d1295a93346411bb833305acc0e092c9e3b2eff1", "eedf9480de99e3373d2321f61ee5b71ea3ebf493", "204c73cd39d3befc4f669661b0451a7f858570ff", "c2adfc55e0ab9be6e8f5e4ebeb20770dca307cef", "3c895e65b811239604796c1e2d1bdca3494c50c5", "b18efa91e9893ae5fdfcaf880bae5c569fab4d18", "8387c58a5a3fd847f9b03760842dd49fec7cbb0e", "fc857cebd4150e3fe3aee212f128241b178f0d0a", "f89edc5a4d938bf6df0a780163b872b9edeef5d8", "19a30ad283f2ab2d84f1c666d17492da14056d75", "7a72ac1c77110d03dc0482f2556e9bdb36582fcb", "21679eb7e953bd132803703c27dcd56484d497e6", "73c13ba142588f45aaa92805fe75ca2691ac981b", "3fee5c6343c969f33a7db4c7f7da1e152effd911", "614f4f8fe47e7c0bcf64aa0ad39dc371e4b4ab7b", "44ce0051d9482d96169ff5564085fe9867eb3193", "44054c64ae7ee16a8a8348bb57345aae95a8ddae", "16892074764386b74b6040fe8d6946b67a246a0b", "43016e51bc6e7939521ec3c2fcff78f35bfc5e92", "e1e5d64318ec0a493995fb83ef4f433ddde82e77", "261fa69e3260296652e02d8757f9af16f7dd6ac9", "5ae332be64c8eecc92a61deb2c3c3587cdcc59ef", "95d8523b7782b9f162a73e60796d355e1d4de301", "94d5ebe936c101699e678f6f0cddd8a732986814", "1d0a6759de0d55d15439b0367f0aa49c1e248c5c", "00cb5ee9c7f016a8ece5dd3b34e74ee65ee19e2d", "1dea4f56c04d12abbc9e1ed7c48c7ccc09e7f5bb", "6135c12b13700eaa93016f65bb0021df00f26f5f", "929218b75858e244c1ca99a6bec07ed9465737c7", "10cdb31a23c3233527ad2f8beebe7803b7a51a8c", "27c15e9932bc039220f6937ae8e2cf9f1391f7f8", "79a36b19ea363c14af27a1f4112a9eccdd582837", "cb5f65bb52ef54b46368ba33db2ddf56cee5b8c5", "731840289e35c61c6e21ae18f2da2751bd8e2f20", "e577847c36251dc31282ad57ea969ea8297369be", "ecdd4731e197f4afda804602f533565c19ffc271", "3885cfd634c025c6e27c4db8211d72f54f864f90", "33236cd0b9454ab88ec9deddfb8ce8e492056770", "d8cbe136dd95d287786d0ed5f0d0e53f143bca7f", "f1a772608cae0d3189ad1293d5b7631435f02e44", "5e51f001c1349f3dffaba37f7e4bd08b370d813e", "992eca71ee8314ede9bf680b6966730f6bb77bc5", "9d6c5dc5b212d8a8e94e7c52b0a2e4550aa2e117", "10aeed13a7c0317eac9608bf0459e1e44eda3625", "7066ca7d19a714012dd899f3ac0a84e4c0dc92e7", "2525483e2d899c435437bd874208071183223b46", "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "fc685ef21c4b2db0304b830f6a20e31eb0ec0737", "b58417561ea400b60bd976104e43b1361e1314ba", "784705fdf2c412fcf764841b980cfb85ef3944c1", "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "4452c36dc4c5e9f11d041489c8ff2e7006d33c80", "6795a5a06790ee4fbe5b873b563b34b0be6ad6b3", "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "6106028c73d22570a01212814e1e4f4edb4abed6", "1db11bd3e2d0794cbb0fab25508b494e0f0a46ea", "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "14effecdf4e99a6ef3bb590582ca07e642d49632", "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "e23b3779547682b3e1f5a9108ed1afddc97af679", "d7df298c94b33bc500f97406313fad1d5ed7060f", "30c93fec078b98453a71f9f21fbc9512ab3e916f", "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "26d25c21a4da2429d5b923b86410ad73320d61ba", "90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52", "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "da9d71087025ca20fe0259b9aabf803e9d556160", "a518ca2df1b74e3080c93cea11e4b769c82d33eb", "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "6ff6f356244a647ff2a6d9dc27343d3e22840571", "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "498c8abcef3b709be97167ea5870e85d0c586945", "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "48705017d91a157949cfaaeb19b826014899a36b", "6947ecf688956184bd7371b3689fb9494139320c", "3e03435792619833d4e2aa14344761b003c10c67", "82fb85517ee1bb3746348221de3d5347c6b3ed0e", "290eda31bc13cbd5933acec8b6a25b3e3761c788", "4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7", "1f527b5406356018e6dc401a4be8098a5a451891", "b040302c9e6dfc1501a70bed4636fe83730a26db", "057517452369751bd63d83902ea91558d58161da", "5d58d4164493924906231a28153e50342fdf1198", "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "6aaa77e241fe55ae0c4ad281e27886ea778f9e23", "2323cb559c9e18673db836ffc283c27e4a002ed9", "7e53ab07d0ce28484830329036a1fc018b9644dd", "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "d67d9abc9c9f9e84ab3647d21db70ca98117f709", "687ec23addf5a1279e49cc46b78e3245af94ac7b", "273b973092a4491974d173cc5258c74aede692cc", "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "b4288f34528fbda2d2781454aadccae0d578d59a", "83d956ed39127058e02395924f96b68e2f8289e0", "869df5e8221129850e81e77d4dc36e6c0f854fe6", "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "626c71140a93afbb2234642f2634ebf635949263", "256c91400aa7e92160c889654614f70213947f06", "ba004e5789bdc565734727ce22820dca77d6407c", "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "ed432ecd59021a96d8995269a34678c4c2774507", "2b9410889dc6870cc6e0476dbc681049b28ccacb", "bf5214de5a1460e01eccffb74c60a57b43cf099e", "c11f05de35310725d83a4ac9a393f06168acc967", "e1678add566a002e1fe5536d8607888549e36ff8", "4e82908e6482d973c280deb79c254631a60f1631", "73596313fe0a93c2c0ea345ce854517140b9eb1d", "a09c071f8468897176ce4351de36e7c8b7c2dea6", "ceb9a051f1273c7159aca80891f21ca3357b68ab", "137239cd29634465f35ce261718efece57cfc617", "4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7", "ac611487ad19e0ff182890ed567c449bfaabd0f4", "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "24f367315bdb96ac001d568b8e2c0ff022845ca5", "1627a0c46c29e020268f9225c9042bd6cedd83b5", "bb7c093c41fcec269b6a7a950902cc95429bb289", "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "35af45f799c65d21bbb3cd24f666de861bad33b0", "1642358cd9410abe9ee512d34ba68296b308770e", "50137d663802224e683951c48970496b38b02141", "b02581323ad03125e9b18d74ba0c1909d6485dda", "4643a480f115d5ae96259f204b6712c1e769a699", "66c4f727e9d6caccc4d3154de174258ce63b9a35", "508ce149508610edd93a17561a460f2199c8609e", "8e0b92b7ccf6a2d110011b79637d257805d8c96e", "61a768171bcaf5d0b5359af551d9732015bc4036", "920246280e7e70900762ddfa7c41a79ec4517350", "7202235dd82965b4bf18216040e40433f96274cf", "d8bb184afa8e68c569592471d83fdcd9120fe5c6", "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "72dc0c1e033be838582ef8da6ae3d51b6375cebb", "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "0348ff27225e45578c39f000e86bd96aef060c97", "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7", "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "23515e0f5fbcba94dc78e719c127ea42d087c81d", "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "85136f57350f29ff299dd13b28885666ae305e57", "78d7fe93404686eeaefce0aa3d9200272c0f4413", "434627a03d4433b0df03058724524c3ac1c07478", "084352b63e98d3b3310521fb3bda8cb4a77a0254", "30492d91c8ac2e476a25bf7ddf445be00b3d2fe3", "961561a96e82d1fb596f030cc1d4aace1bd85a32", "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "b787113305ddef424def20920b8b098c7f18bd98", "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "5b36d1d7279d0db75f52f4934b123a3757bf8092", "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "98220d35ae6a3ba745f7dea1434f000ca60c62c0", "3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612", "9355b789dac162ad50c31cdf5d9a196cdc09828e", "0e181a1b4c63143466c9ac858d46491f1ad11092", "4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10", "a7e20614f707cd8fb02cec5ba60ffcf48ea66d92", "909f91c1957ce2bf9d76ee2109a865e87bf17057", "43fe6e4c3163435fd829d3c1c41ba17de4e13559", "58eba9930b63cc14715368acf40017293b8dc94f", "d9bda208addf00a55df23821f6d4abdb85e73599", "d1e8a08aafc64661206c495e963e0b244dfe59cd", "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "70be5432677c0fbe000ac0c28dda351a950e0536", "13a3952eea0445fc4a1825be10acbd3a189355e3", "a936a60766cbccb27217c3ccfedaa16d4c7b517b", "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "c04236e02381fb8e084069559e92900d4ec1af7a", "244377600b1474e1da3b86a08683e629990d1417", "679136c2844eeddca34e98e483aca1ff6ef5e902", "4624cbd2395e46159127e285ceaf45b9ab903e17", "356ec17af375b63a015d590562381a62f352f7d5", "f0cc615b14c97482faa9c47eb855303c71ff03a7", "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "a7d09489ce188979fb7767f43f27240ece05aa33", "3cb0c82dec438987269f08a4b09235c53bffe293", "04bb0a1ccca86a4c1084fc7472ea07189c110aa7", "8cc56d82787069ca91ac6bb8133e15da6dfe564c", "6624a89894990a9f5edb06feb9e4d5ce6147459f", "422d352a7d26fef692a3cd24466bfb5b4526efea", "fa62bb5355ee5447ec651f56b9e06645eb2f56f0", "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "9d89f1bc88fd65e90b31a2129719384796bed17a", "b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f", "71bc8a1c19137ab9bc0b5926afb77ee76aac9057", "a44b91f46ba66c8279b93caab6842444de0c9343", "0382a1301094c6ba60b18ffa8d12da6ca0863339", "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "d0c75482c5d2d0c1c860fe6f46bf72767bd02848", "b8a829b30381106b806066d40dd372045d49178d", "8bd8969d1de5a9e47c5a99c23a9faa8413cab72f", "de0c4459c46c5efbad02cd9a1f4687a12883c5d7", "218982f0878a3de667fac2bb18b9f50949aefc1c", "bbb44958216281607c282427f3001f7bc36e2385", "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "586c989e12d19a48eb7084a3e07e9149c9fa7092", "449a170266998d364b960df58506981920c732bc", "10c077bf2dd1bed928926feb37837862ab786808", "32d072ce790b62750fbe343d9dd8620939d84975", "45e459462a80af03e1bb51a178648c10c4250925", "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "a8ed00afc46064b18a6bcc7aa282e554891eacf2", "adcdebf739d1f911a3ab26ca6f496b7789bcf5ac", "25252e21edb700772ae7bee300c070024c4e87ae", "b1bccc71e48ec4a114cef69a492b2e5b3d1f123b", "5bae9822d703c585a61575dced83fa2f4dea1c6d", "7c132e0a2b7e13c78784287af38ad74378da31e5", "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "0cf0ad8235929417d904acd1c672713ca4fdb105", "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "9458642e7645bfd865911140ee8413e2f5f9fcd6", "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b", "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "a48a8e337a155d01a9652f3ea36675710e600222", "dba7757ea7a390ec0509834a5f457c6f28ae6b76", "df3b560a5d6c8cc5fa1477d3a89245a0d3b60715", "9883759eb90c2aff373b48d31d3e5700b3bd256a", "64e0bd1210f180e0610b2a1faa188051a1de29bf", "1874db58583e6e5aeb98f2329d9e1ba44b8f6022", "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "d7f11ebb73bfe74a57c33f7e75f7981ad9385580", "01a152e7ca6accce4fa52e29b27feb76418583fb", "975c04f3193615ea7559cca019176e56ce60d052", "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "1883387726897d94b663cc4de4df88e5c31df285", "846652200134bd02c65c502a4e587a11592479a4", "9cd7487e0eed11dabc94dd867178204c53eb2270", "cc76729795069f24d66e8c29f1e08b50f8980a53", "06abf34ed52cefe1181451700346f870c2adb0b5", "828b73e8a4d539eeae82601b5f5a4392818c6430", "02af5e40653b5a545b62aa6aebfaca6557f4173d", "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "8c3d86ea14205e1bf046d1a770cee4edcb9f6b8f", "0f8b4a64eea40c1f0aa655d4e77e46543ff558b7", "4a44381f7c639451a797b2d3016b1d4cb54736dc", "608305c25aae19dd346153dadedac851f0b7f9ff", "1d14182d23547723a32fc3e51e5c59a0402d31e2", "fc5561d95b63f05a2f88e66291dbd269e4141a00", "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "4d38a43865e0bcc87dc6ad83331539429e00543c", "6986658717d6430be30acea59a1296125062d5a4", "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "6a9c460952a96a04e12caa7bae07ae2f7df1238e", "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "03ce07616628ac7c7dac92ea714313b674217811", "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "9070045c1a9564a5f25b42f3facc7edf4c302483", "ffabb5dc6f3a3831d1d88028594c06d22d39ebfc", "1110f86433302fd6c4cc92e2ac1ddf80b917b25c", "c31f7fa9d050c8a7181fc3407313f1fddd06de8c", "8e64f7f38db57ddc197cc7a9c51b914920ee99cc", "fa83597bf71dbeb606bca6593bcef8ecd51e8661", "3da12b99cd8040bb374eed160f8016b3fe492967", "59e9934720baf3c5df3a0e1e988202856e1f83ce", "6e604946a0a51911db0e887378ba1ae103dcfb9e", "e7617e3beaa1a1a8a3e24ec517735c5cf5c8a8a8", "076fd6fd85b93858155a1c775f1897f83d52b4c2", "7996a71a86693a721e45ff9482d286a310ada3ad", "1180b1da7221c8c614ac7f6960772b78342f233e", "6cfa1ecd9b534c08cb4556f5d45fc9843c6d9425", "8f3786e2064a103472ec227a03759bb5056aaffc", "50d1021392b6b226cb6a022b69b55396dfec99fa", "c1c119361952120507d010b96d53ee8bee13c4b7", "f3d0d2f66ab04d9b8d6a590b339cd692b22174df", "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae", "3434ba5677e5c98e82ee17a1f2d0ddef66d0b009", "2814d558b4d7425b5dae6b3dbbf5f4a08650fcb1", "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "1167136efcb52cf49e89b90949149312bab19cc3", "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "d8bc2e2537cecbe6e751d4791837251a249cd06d", "84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb", "19c5dded4a2d1b7e62e29c71a4a7bd0911e2f5ae", "08030f9d34cc96384f672d9f9f296914d594335b", "bd75a21797c8fbed8e9a8f293163e4d4c94149fc", "609cadcb4d7fe32d616f8e778b7fac9dd578bd81", "2feb7c57d51df998aafa6f3017662263a91625b4", "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "043831b3164152b4d67ce55db90eb3623d715cbf", "71d4924367ba5d31d87bf1ac724db3f285b345c1", "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "b8af24279c58a718091817236f878c805a7843e1", "d29895fca6ae688514850856208c2b88f01ea3e0", "e5bc872565ef74c3929a4bfb2f785570d546e983", "ad467baa4f59d18ed998757bcba3df3c2a753df8", "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "3c3477903b5138fe5e5e007556981387dd391f77", "6ee5205408fc6db03460c05765ae0f21a6eb9552", "94490145def938ca1f8bb265d10b66924937a367", "d7eae9f76dcfa978b99eef430feb9420eac702eb", "0a5718f6a60ca18e6b6de5660c49040ac0045d7a", "b45bb3876a7f980490e0b78ed70064d276b13761", "2329b177c71c7087013ab4bfdc3154a6ba87ff8c", "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "0749deedd6dce98b48475f335e2c322b16fcb202", "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "2a7935706d43c01789d43a81a1d391418f220a0a", "2d81cf3214281af85eb1d9d270a897d62302e88e", "9b93626cc87411964712d05905c2dd0a1247d16d", "139302f87b4a23dad87b2f3a2187593f18bcd68c", "8cf679ef0ea28557acb86546e4b1b1a617d1c698", "4643da1a650d34aca300f3222d07fc9c1e622891", "e12d5019baca91c3662aef317d406ae884f9c742", "0824768412cf2c3e9f550025eee06bb34e5f3afd", "53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54", "e1a7446bc6f8267d4378977f8f39674f6932b628", "1120e88663a38ed05120af378f57ecf557660160", "5172baf893b1afe2650e015606b8537e16db88e5", "32b9be86de4f82c5a43da2a1a0a892515da8910d", "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "347573e0b27a01748f8a6781dd84bb312aea5c53", "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "07f47b063577afc98c6717d6bb046fe72aa75b12", "184c3e66a746376716d5e816d95e1a7cb8e04390", "78045e2b93745b16a174137074e430ccd5ff53ff", "074fea1fbfedeb80936c7cc1df7efee8f0b680b9", "3dffacda086689c1bcb01a8dad4557a4e92b8205", "eb67693ae74a3e5fba42b96b41953f85c7414a8e", "b28eb219db9370cf20063288225cc2f3e6e5f984", "f34bc8a28f71be31371b1af0ddc3d1227e33281f", "b6d0e461535116a675a0354e7da65b2c1d2958d4", "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "e1f815c50a6c0c6d790c60a1348393264f829e60", "30f7609d111bb3bc006e3dd38678291528aa14d3", "5d1365b1cb7d51336402d546e1b7640f345757fc", "b06b0086e84038abbe5088f3429603778f2b8fdf", "20100323ec5c32ae91add8e866d891a78f1a2bbe", "7a776f080b270c8759b2b4fe601682276d1b2eb4", "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "6749db5ae9547d5fe0fb4c743c631eb5bac69d37", "b17b20c3a3804482a1af3be897758d4f3be26677", "5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a", "32cd02519928aa91dca18074778a59b2cba19765", "4ab31fc841890b90d66c30ed2f694a0597f0a081", "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "c9c8ceadefa12adfb867cffcd2e5a37e4db81868", "6725b986c81964414c39050e0ced11843cc0cbaa", "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "37115eaa2789baf9edca92b48305e434a5ac5c02", "0726152a1c1a5723ac34d54abec0dc8d4659598e", "fa5aca45965e312362d2d75a69312a0678fdf5d7", "29113ed00421953e0ddc4fa6784eaba60f05e801", "5369b021f2abf5daa77fa5602569bb3b8bb18546", "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "14d5bd23667db4413a7f362565be21d462d3fc93", "12a6d0617af44b46b70cd5c4ce055400b134aa8f", "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "224547337e1ace6411a69c2e06ce538bc67923f7", "d178cde92ab3dc0dd2ebee5a76a33d556c39448b", "d7a5128ed38b01416c18ecf8a472de75d66ae35a", "13243c5192642919d7ad1ca01a5c737e0b020bfd", "4f99e35e40a2608a7b37d2028c05216974d677ad", "45ae4c0cdc2df02c278995623b2e25ae5cc4c91f", "c5b4e8cd56459e5fadd6caf33da8ae7cdbaca93f", "406d9f9ab1f1e9fc431a09f4567c4b3dd0aaa711", "d3c5d55c787b2cd8bd953f760ada8a77f8401d69", "aac23e7b7bf3628952e72e9e8fe43f7987383a36", "3d3a7225b441d669a0e6133546db4cef18884360", "1638636f183a53dd9390cf4cc12ba748b02b3b3e", "85fd4ab1ff63c248bf0e43bd23a58e471a0f7717", "011e4d450796a6c47c708b7e57bcaff79404ebb3", "1b1868679e392d87079407e5c161c9c6031f3543", "a30e9fd9444189dd84ea6c03b687888a631be2c9", "03f6c96b7afe5f80e92c077408e89455ddaa8308", "953251c1ca794264429ccfe743eaf344756ecddf", "c36d51b9efab754959baa25bc016dbf81d00ebe8", "ad62c6e17bc39b4dec20d32f6ac667ae42d2c118", "cd87eb67fcb32cc4e0fc0503d9dcb5766298602b", "6cd19453c540d0a2d806b0f80633f9cc669a14d0", "ebcd23bf99ead285b9f064bc47e713cd6e5dd599", "520ab4527776c92d7c0bc70543efce79b9e7c2bc", "49303434c9f8beb604408a983dab1c8b7ae1d2df", "840bc15b8ad4ca3eed78148aa0d32100b3f25120", "22ad2c8c0f4d6aa4328b38d894b814ec22579761", "3f4da6250fa9cec60c76a44123bf37345d9c59d9", "ce4ad1ad4134d9131af21d4213e598f03475cfd3", "4328933890f5a89ad0af69990926d8484f403e4b", "2bf8541199728262f78d4dced6fb91479b39b738", "bb28ba2dbfaef0ef86afb870e7c879da3371ccff", "e9368e9fbdd60813f2763490cd706c82c28a8a02", "49105e6eb5a88b9e1b41c5dc82c5c0170f8f32e3", "6dbe8e5121c534339d6e41f8683e85f87e6abf81", "e40cb4369c6402ae53c81ce52b73df3ef89f578b", "eb8a3948c4be0d23eb7326d27f2271be893b3409", "7004e0808b0905761b583d74524b932ba66c20dd", "e217382ceed42605eb2a9b570c55f9622635e111", "2e5d173ee0d1d7f88c335ade6a7b879b2d987ab4", "198ca82e51c55c079598db2b33dc424c5806bc46", "0f8b4455398ebea2e860e33fcd98ddadd61b1887", "1a6bab35f09749d85975b4a02dc444704bdd1b58", "09348656bbbe88881d1257650a170af5e22f1008", "ce13aaf9ab0d3ec3dd9637b2dd5122b4aa711fd7", "d14badb33740b42833ccd620b344fd75c35df2b7", "efd64b7641bea8ca536f4e179be6e2dd25d519d6", "42efcb8cac3889ac25368770058e000249f68d13", "f7d658da66748ade53850e6b5002041a0dec1c63", "117f164f416ea68e8b88a3005e55a39dbdf32ce4", "3c8da376576938160cbed956ece838682fa50e9f", "1299d9b498e30c67833b4d82a209204dcf696ef4", "53bfe2ab770e74d064303f3bd2867e5bf7b86379", "2903630d9582172f38108dc171fd239e337654a7", "6555ef4e6f9582b5cb06199a70d4f54df04314ff", "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "a13d47bb8e5ebe741a57a6f963941aa638d88872", "7ecde1ae3fdb767dac5e406da4527b050d6b408f", "0ef399b8bad6b3d4a908e2a9318f2ba51699b4f1", "0c59071ddd33849bd431165bc2d21bbe165a81e0", "eb716dd3dbd0f04e6d89f1703b9975cad62ffb09", "5b2bc289b607ca1a0634555158464f28fe68a6d3", "8916cbd3eb66475182a177ade018ed8a3eed26b7", "8598aadd321752e7e767fc3c608706f9104fd0e0", "a4956f51ded4d02b2f9f15c582583469e58b619e", "090e4713bcccff52dcd0c01169591affd2af7e76", "c9adf1ff0bad0e0397ae98d4e0857192bfc3d59e", "b7bbfb829b69efac8efc2c4cc67b08c565d10e5e", "8d22e3641d8e684ecfad6eee5e2ca414ee3728e2", "2d20ccac97cb11460097c10c90feebac3887f92d", "110c55b440b7c6a1692da9d8ee52389e43f6e76e", "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "58b0be2db0aeda2edb641273fe52946a24a714c3", "1c0319d67707dd7dde76e47668e852e74692df30", "8b38262f1b7258bb168b0edc401699ec56f52e28", "b36833aacc1ae72f9ccb9eee9d9623df19802fe0", "818dcb3bac6342c02eebd896cd0a46bcf2192b64", "5535c0f3b8e27dec1437845fe362b8b6924d9e8d", "5906297bd4108376a032cb4c610d3e2926750d47", "d2069cf09a9b7ecffecdd32a7a34e861669cebcb", "1a6b88105b2e5c5f92bcded1acb0769818858838", "47c0c0f925d4e7496deebb6385cbe81e8582ed94", "4f261ad96d6775ae3b8e9d5f0a62bfcc4c13b493", "91d216e72a774b10c1eac9bce5b1046fac8c8a97", "861c650f403834163a2c27467a50713ceca37a3e", "0b4c8e23800ca4c2fc58c4c7771c229faf0631be", "218a8065deb64bdbedfc3f8d889d57dfc8c42bfe", "20044724665208227ad54d9ea98b08dfb1420689", "484c380c322b2b5cb5756c9e94608949fb5d5e4d", "b5bbfa92c035d2ac65f3622ec3d15cb8eb3bfebb", "9e071a5c3b8d85627c61bbbd303f919afc64ac3b", "e1966f234ad3f30302af3ddea70ed9eb5dcbe120", "10d46f5d09c0d334e1d29779fdefebafc2bc67f7", "01df75d2020931ad30f827653cdde7fba06dda5f", "2cf525b50a50d142ff86b750ecf50421f4361bc6", "d10b03ddae7348ea8de079f6175d6833c885a991", "48f211a9764f2bf6d6dda4a467008eda5680837a", "544b31e9de8e70a6f9ee0a93496f1c8769a54a32", "4303bb85737ecae5fc27bdf598056defcb289a84", "3ec6fab063bd0b1863357d3839847e8be6759c7c", "05e3167206bc440d5aacf2256fd2e2e421b0808c", "3b9d94752f8488106b2c007e11c193f35d941e92", "2dc4b472fe257522a106dc1246b758113be60b59", "3074b3310968d012a760fa6a77ae0bc90f5ba8a2", "e0679f8cf0029c04a95d966f562eb0bac3145adf", "1ffe119fa86a06e671adf6df51b4e8c06384bb16", "3bb5dc57a828cebd484750a51d9cdcbaa51d8f96", "7c5e33e18ef4fe92907bd1b9d752bcd85a4ec90c", "45513d0f2f5c0dac5b61f9ff76c7e46cce62f402", "2cdd5b50a67e4615cb0892beaac12664ec53b81f", "2597b0dccdf3d89eaffd32e202570b1fbbedd1d6", "6d74e491bae5ec2768c0ceb27e54669704c47ca6", "3f8fa9d4772d0b37deb98cbc9903da6cb754799a", "5be5d977fc1eb0ee7b6450bbb1dba01c8c7ddfff", "129ac698f62ca7f9024423671f4128d83a0c3c66", "67e19d93e3cccd08a93d3aaa964cad8bae99ce4b", "da4170c862d8ae39861aa193667bfdbdf0ecb363", "5932d4fc13a10ee83b0470c8130693db4375365c", "53cfdb7392e6da9e617eb490ae933aa682520b90", "0a0d5283439f088c158fcec732e2593bb3cd57ad", "0e56ad2326a78c3e5a77db699c6fc4c44666d46e", "4d7771c0fba963a5a26bf3683a5650e750caf0e6", "18dbaae05c18b316d6567fe14f89d3fba36db7da", "bded465d7098f4e3c614ff02b3beec83b439413d", "ab3baf12ce8316ae495fc7679ba34c5f704934cc", "e24294adfcdb0334c310823c591f15e8829dc224", "b1309769d0411478af6c354f42438fde3813ee85", "20177ef915378ce6d454be4295ab190fbca3c64c", "b68150bfdec373ed8e025f448b7a3485c16e3201", "c76251049b370f8258d6bbb944c696c30b8bbb85", "6ce0c8ef799d1c01fb0a532d736478d9698c2a45", "1c404de2c85a1b58cf7048ca645de6d392358779", "c7ec456099ae2d0eee073ca1d546d7ca57dd4a85", "bd74c7b6d17e2515583cc26f26933a785045690f", "614992cb937db50a7739bce18c1ee806f71fbc7c", "d008e8662b7e482b88e6dee7c50bd939d28e7628", "3048ed5110a80eee3450d6658d65c90c2855a541", "8984bab6e9523b65cd8c482236eea0af8eb88743", "e10a257f1daf279e55f17f273a1b557141953ce2", "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "66af2afd4c598c2841dbfd1053bf0c386579234e", "fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f", "1b830c8dc75952aab85ed1ca59e44fd83abb5e03", "f3f038f4524766a1a8e746280ee2082ec979995e", "36d63f879588faed3854aa363577f577390c647e", "11c535b6ea3f6230b97f574d8aea1ec45f157a33", "6cd93ce2ca1fe3fd782c83448e0ba060b2bccd75", "132f88626f6760d769c95984212ed0915790b625", "d02b32b012ffba2baeb80dca78e7857aaeececb0", "4cb852b0893edcf895aeccfb4e03055073777f5e", "4166aa3fa97e9e835056133d2140c2f405e8a9ab", "40c5050e470fa0890e85487e4679197e07a91c09", "3e687d5ace90c407186602de1a7727167461194a", "a806ae21b7e50a9f8bd37014ea4ea7bc8384fb4f", "c6338a96e14521930b8844afa64afc03bc9f6c54", "978c6e9c01dd6fa64dd0e357bc750345b06ff6bb", "2e0f5e72ad893b049f971bc99b67ebf254e194f7", "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "132d6e171b811da9af5f772bd83c78d744214429", "246638128509f3d70477b7f439c6dbc77bc96abe", "60777fbca8bff210398ec8b1179bc4ecb72dfec0", "f6c7fbd84e6ac61af40e670e589ec52fa435f396", "e3466e5ba37f33474eff37555ac274cf098621cc", "40928537845bd14f731b753bef8cdab59661c090", "1ed953c92ba011c908ff75f45d81fd7523bb3d8c", "f0fda989277302ffa8d2a3837c95fa7c90585091", "0416f5d1564d1f2a597acac04e81b02b2eff67d2", "1ea4e6db88a63d1a635e90242ce81adedaa803e1", "f21f29edb7e2f32a587ecbf91baf62896480c0db", "14c988aa9086207b337dcc5611aad08422129b42", "65293ecf6a4c5ab037a2afb4a9a1def95e194e5f", "079b6800e3130ca2ef1815a35632ab6998848ef3", "40205181ed1406a6f101c5e38c5b4b9b583d06bc", "3991223b1dc3b87883cec7af97cf56534178f74a", "e2df2b16d63dddc7a571ed3b993e5ffccbf2337f", "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "abeda55a7be0bbe25a25139fb9a3d823215d7536", "9fa1be81d31fba07a1bde0275b9d35c528f4d0b8", "ae753fd46a744725424690d22d0d00fb05e53350", "25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb", "e91ea0179977bd295751c6436f385fb3fe1ca3ff", "bc66685acc64fa3c425c0ee6c443d3fa87db7364", "8c8525e626c8857a4c6c385de34ffea31e7e41d1", "f5e3e3ffac5c6605f71b1310ca7162448f388b38", "441132dd4ec14991644723c9642ac3a63181753e", "e3e2c106ccbd668fb9fca851498c662add257036", "f2efc85f9e20840c591b4590fd9ed202f727546a", "7f6ae7cb74d9cab9d7add9bdb9ecad9df6c7d007", "4db62d2f236c708916ae0d078bc1713aaca4cc46", "22909dd19a0ec3b6065334cb5be5392cb24d839d", "90c4c8bafe50500312350e73d93eda6e63196832", "e94c05eecc78008c12090e24e13526dd26d0a644", "4c975a0615112fd9eeeed157ab4842509b0e15ba", "9fd5ecc538a9344814dc00b92beb45c54d5dff3e", "f348d23a88fd81e05585897629f2f230fcfe77c7", "29fc2a8c6283543fd18d758b5079530f7316bd68", "b6fd381fa41a2d03e170ca686f191ab1e4b69615", "2258e01865367018ed6f4262c880df85b94959f8", "147307c7e67e1c3e5ceca68644f365d6f44472fb", "2701bd6850dc1b811ef7697cc1cd19405b99f990", "940002939d519227427619ec437e04676235d558", "1bb73d8f1224a846473d0a2ddc4289ae3e21b61c", "bf4e6ec60e5603324f6a40d2a060420322dbdd62", "517cc1084952133b6d2ecd0a535cdc3ddf8955d7", "664ccdcc614a8ecfbfedadc7b42b9537fe43d3f1", "8dc2b137b2a1a3713f6ce5e78f621a9f0f036bf8", "5fb635801e65a12b5c52085da78152d2df6c2ff2", "e9336cd4c63139c481c2ed9624b04f5b9a477d80", "53079196041fedeb5f1e236b1c76c7108fd8346e", "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "e27677a88e40d65cc28e4c8ecb35388467ec3cf8", "10b36c003542545f1e2d73e8897e022c0c260c32", "fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231", "5f2a3fe58974a4e60dde5cbee46a64718ac5c179", "aab5d43cbd215099cb7a947665072f8d6d5fe2c2", "8db60e5196657c4f6188ffee3d2a48d188014f6d", "1183ef7de3083c57ca9152aabd905814bb486a08", "d5aa657e0e34dac4fcff484496b0e17d5ae0f52e", "e3255ab54d4ae6cfbdb7bf103108663bf4c6e0fc", "fcceea054cb59f1409dda181198ed4070ed762c9", "4820e34baf57e7b3d8d70df915c1710e6e93d631", "d5f1e21f71874874fd4122899a83aeae58367c5e", "18ab703c9959fbea7ad253a4062eb705b245552c", "54f0fa07dee7bd270d3bd8da9011ca90df78af59", "241d2c517dbc0e22d7b8698e06ace67de5f26fdf", "2bfd2add86071064bcf3795dbb57bdb1643ce2c4", "efe208a03e2f75ddcebf8bb0f10b1c0bea4824be", "f627f2ed56f42dbc3ba127f2a820630dd0e03c52", "e604e8a2a639df10704e3f97fc93332589b8c160", "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "11a6af9b32a93c4053dc12f70afac64a4138b2d1", "7c9f884137a22c3bb5cefcd7dfc55e3a83979771", "e281a0f632f5dee3697578d8ddf69da92c9410ab", "220f6ef6f4bf4729871822e08080142359012e10", "8e0cc47c194ef7daf15aaef14d61e493879ae137", "b674bacb45c1c96e9c93792019478a7760fbe7a6", "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "a6c40d0fb4c0420d1d974f9fbfae83da514ebfbe", "812e06a4cee26629e198a0a6d991616933ab14d8", "9d6c04aa6eb0c3d7dce7e5717a16b56f86ffea48", "59778de271938df6de938deac17fd614f4640ac5", "95e999c08a9cec339a7e53aa645d32279f9a550e", "ba1cf2d0493f25da61bd816f92712291999c0ef6", "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "f3b56b873c48929361c1cada7b18177e3f4d2727", "b40856b30023d469810aacfb48e1c502804e8b7b", "5ffaa04d15fd159c420cc10fddf15ae39a6db865", "507bc8ab4a598fb2f4108713e8c1e55c180c007e", "fd68662e0fe3412d47ca07d33246212d4ecfe590", "f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d", "c0d21722d83c126af4175add38ffc893a33ee01e", "27b630b8d189cc9d6315cdb031573184e7c875b3", "8628cb21f0ba3c270d731646b350a059204d26a4", "056d5d942084428e97c374bb188efc386791e36d", "444c99362e81925c1e710eb901e8f3b4659e6a42", "361164861d8e4676079219f6d099358a31fc4025", "9dc263210770e7e836040c8e9d0edff40814254b", "5f0e9cc18374a670dfea4698424c9d48494f3093", "2112edee4a60602e9e5dc5e4f9e352f983f0c8c1", "f496c321dc171ddd1c0f280436fe40722e1b03ce", "b467f07202aacb8c5f7e053a7fd4e72d0da16b22", "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", "53f981cb6f1cf19b08255c571d62cc1073fd792b", "8e74244e220a1c9e89417caa1ad22f649884d311", "0393a25756c6e5d298ae880f6b7b5c9285092def", "d01e65591745fc46a3f69a6c9387be17caf55c16", "047fef806e6afb3430bfc6d8a6ab09b48afb9822", "4469ff0b698d4752504b4b900b0cbef38ded59e4", "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "001973a77bf8fa82314de667af5b041d856b0069", "0480b71244b59ed13cfe844c8bac8883a0c40573", "01d785bb989850019001a418a16202fd7502ac14", "c9baea734a14e4302829769ac39fe8c48fbae5a1", "6f79c4b82f9ccdee918659a8f7091b8ab99fe889", "f6f12e0fbfce067d02445abde76be0522e4db329", "42b58427ed3265ad3c46b3e378ab09c26e91117c", "a744c82e10ccd67e4e6ba73ff4411bd45d95d533", "4e3625382a60672c09c6614214f2b3c1de61898e", "b3a45118534144f50a56653dac8109c73fc2c0e8", "b8a4e7c21c3163b7595dac0cb00cf518e2dd82b5", "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "79e39f3d0577b9c5a47b93eb6d75bec04d14c07a", "9cabbb686883635d8755706ee4f1349d812d7ccb", "8ec3325c12340d1b8b746b7e9b40616ace1f4d0b", "c2d35b387518496d8100f70e82597b002eba600e", "e27301701e4d2d7da4171e6c560c4fb3f974bf2d", "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "b3182d09761014b4efa2787b6a66700b52c979a6", "b13254c2c9ca90f57e385d34abc7fe78d74e5222", "343192938edf3e650169f1650349206f2b02e00c", "2b9659169951d968e437345df0d4d784f6843734", "2338aef7041339ea4b894441e92267e4a28e4bef", "2c5bfdf6b4f9c06a42280e99d101e628a1dc597f", "f6d35f4884d0834f2a2b29fd6341f3b4afefb119", "4a64b020c72db15a729939a2c041ef4f5830f0f7", "77a53d4141a8081657ce08b13dc3328ac4a4e689", "b64c2baf82c51a7538136c32f5193bdfef946297", "01018a509f32601e1bbf7f0159aad1a513e23f92", "b7b5fd3e2cfc39967e389b974c1cb418b2bf1b8f", "2b8c1daa238f042612260f0c3f8ff36e27c434db", "42af47b99e972f2f5f1897f00082f37496aeb7e8", "22d5719a95be420e0d1817799498e987eaf6676b", "5c24758a6deec8fd726b25aaf1df69fdbc47072d", "9a57f0233a616bab84fc35101637765510b1ed83", "d04631e40b237ae29cb8d2bd187b04033580e63b", "1922082de84afb69c966a7628e86012342b475fd", "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "5348367971754f6b63bd0c595fc3e331eed8950d", "b5c945e04cdf204358e7964290867b38435ef458", "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "37c4541037b67e8f4c538b285efe80aa251a49b9", "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "f0325a190d5d3e265d21e6a11342583e52b338f6", "5da14895692fad7d1f403279faa743a657fa7ac4", "ef61e43a1cce95afdc0696879085e834b981d5de", "8dcc1e0f0215dd5fcb6d698c35180d40dadc8dac", "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "839a028f5928adca3b59c8bd1397d31a88ec285c", "b3b97439c33063c9c45c305b67dd8f6066052096", "bd4e64b1af4feff3e1e641523d99a642de23dda2", "b0a1f562a55aae189d6a5cb826582b2e7fb06d3c", "c9168495c99b37ce601bc778419c2667f34cb29b", "c81430d4a9171d52920e36cc85bbfdea8457487b", "574476d73737fc8cdf2fde04a9750d1c3d83934c", "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "c4ec7ba2541258913425bacf925927becad83033", "50797bf1a167ba294f640d3ae237cee962427cf0", "5b74a57508069c719cff3c5410984be76f6b7785", "819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6", "14261ffecd904d9aff97d98c70e49ec1d870112f", "5d28a54b1b27280482463df85bb66bc2914ff893", "14f0283c703e450e5f17cbe94878896de865ce30", "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "5fe89653d22d35cf98a6fe6e6793da82a55f5c9f", "3e7b5b07da3465103929b4347852d456c0f0ed58", "349f305fff405c0f38b9df2e1648450eb841fcea", "4a0707131dab1c64c03bfa0809b050d34fafeeb5", "f08b25b904aac24b84e35ee7acbe208a7775f27b", "2c39e50b2000fd73f648b25d70321815e410162d", "8d9f793bbf6a36285308fdaf2886c9c377f40413", "f043824a1d6ae1eb2ae1d5c1845c0a050efdf345", "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a", "f61416e740ab891824c27ebde50cd7c78002001c", "c887a86430f0444f71ea4ce6da807455d0435dc7", "3507544e326253c47e4896919cccafe97a0c2661", "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "82ff25b6e7749e0210b2f8d5a0666f3499745154", "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "65bccb76384bc95c8fe53f2d2a8e3f048fd880bf", "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "c3717efdfd3d19018153d52c21b8b582c9629fbf", "797230c284a24ae7b3c9781f8188a59345b90838", "6c10226a1f68997d85aa0970521a9ff9507e0caf", "28bdfdc5fcbb6ecd1d9bf02356e5a80ffe1882b3", "f869693e44828d09bffd1d79f872071aa09ffd57", "65341edca2f74ffad7d0aa56f20558f5305b307e", "b498990a90a2b60802f9532fdf88f23caed7e864", "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "32c16cbe2e6dd90de95150051114124177725be3", "2b88c583cd62130f1e2c6921db9703a0c5746a90", "18babfe4c7230522527a068654eeea10b1a827fd", "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "f7dbb15ed72d1282445178dab3368d7676763aa6", "5bf6e7599c38ade8ef3b97a3411a7f84418b6062", "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "46bdfee362a4de978d24d53fd704d64d82273718", "8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa", "9bf0db2da5fcf245d353350f69c8eed8a63eaaeb", "46f698dacdb5f76d6b4dae67cb1ae4da2b789398", "3c7d2ac29c867600d3bda5b356db76e3a5014a71", "57165586f65f25edd9d14f0173c4c35dab8c2e66", "f2b627f11a36c359de9aab6c44796e1d30d30b64", "e3cc912b9ca074e3d419c1dd289fd1b067fb61d5", "a110602d15b1c98459071501483366a56cfb59d5", "cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57", "4b7302e805eb079ccf2b9b6bf99c09479d4190e2", "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "0c8769bf0501fdd7fbc94ca81601de4a40679295", "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "f9c580a24bd3f73190ccdd255208478e999d632d", "3e08d000ba3dd382c16e4295435ef8264235ccbc", "b98aec5bbe7116fa3ae5f9b4d77cb1f1141eaabd", "25a5f7179b794ab2bb7283c8337480fccee51944", "67c25e73b89166563cf5b70ffc043bbff23a321c", "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "a9fcc7552ab942c0b54d05488da2310127fda764", "b12c9773c6d948d36698666ec351a78c449c0d06", "9ec2fc7df2db247a55a1af4fcb85710b25402ec1", "07f4ba45b771ed123b08261d88acda19406a7987", "9fed3f4967bcdaebd1c321fee18fed865020a641", "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "2781de1aa6f4c9621ad3af38fc58b894696f1791", "3d2758e39308a64d2163cb638e684f58f868dbbc", "28b59fcd3d642f8d92a7c868c0076b00bd7f55cf", "5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7", "92a93693f43a49a7b320d5771c6afaff98b27864", "40fc2803d3df9759a3853b040588a7d9be9542d2", "21a82c06f71a99ce40f5ffb72fe2908abac8433c", "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "bab47c7bf80c9310f947cbdaf71b3c983c497b68", "813dc79f5f439050d68c923a410940d0d139ceb2", "54c5fad54492650f6eccb90bafcab8c2b779ee2f", "1849b903e19b3abfeff7b0c86cc875f6b42b0818", "d7c094f5be41a13a579d8922ec4d50c70be1c276", "1d4f56a9bb093c52569917537a93c7671db28e6f", "280eea0fa86c811b5422012788853514876854aa", "7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9", "d914c53cdf26acc64259d381fbd45c4e150633ee", "4b8ecd100d6640fd7659be2715c86b7a9103240b", "e7c2670a0785d0fa1fd768f5c119f0e43a376b97", "9b477dde9aabadba1ad2f2f180e755f31af904aa", "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "788a4db5d51b26880ea1d092c121804592b0ef5e", "ef92368c21c1310a6134de0cf5befac4443e3e85", "128ea529f079431220ea63229c934f36287910f9", "baa6be848d52268b71c2486e43940dc64412543c", "4163947e9f6538df8e4171b1e5f378d2728099df", "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "328ffd128c86fe0b2d78fc59f3b83cf9c267ade9", "4b0893bf71e4e13529cefb286c78b166a9491552", "48c494a8f1fdda835417ccc395a42fe210efec2c", "1b6202f28a66dc73f51eab72b2e0e73520f06c48", "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "baf3b3abb3b449a8c1c7850c3ba0ae813aa6d2ad", "2103bb6772bf01e43a8a4e8e34f16baac7d7c331", "b88b57d52f6f16986381fa0ba9d5a1387886c157", "d15662886a615521d4205fa1ededb3d794b9f944", "0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc", "e95cdc2997760c90aaaac6561c84e68d5f94aa36", "159b87e6e68b18f4daa3505bfc415be9b21a7db6", "45ca696076e9c073e6cf699766f808899589bc88", "c79eb3b4d8324eb824493e53bfcb4d3980398523", "a9e0e667537c9059b3050a64d22b8fe86787d913", "bfe69413c439327680cba369c155f1d0fffb401d", "3039a08c66d45168ab871303407d7e3047529bf6", "65237b5e96c7492a0e5d01ddea5b1d381da408cd", "5d9822e581ea793bc70998ee8b40c6ae37e5a994", "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "1a10782ce899b0f884aaa8ef4659976adb5d0699", "6fbf3df212eddaca8d3600065b341ad5174ae5c1", "3aee2ec5a43d599742af6a87427095b9cdf06a8b", "6475c1e95da0a3bd36786a32d00a893d85460e9e", "39df8bc28c6a5ba494bf2d31f68bba06acf934a5", "58c17688fc08eb69ff3b20803a227693289d63c5", "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "4774b9853968b12156287bd42bb425d79f99e313", "a9624e3c04272fe06fcc440a04b373533439c111", "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "572791e2f290dc0ecb05e56bfa714c4b7af79b08", "9a5473662819063cb60c1b29e6544b9314b9b29f", "7372c1e9cb87dad88bc160536263e461bb7ab04c", "1ff89bd94d8a21b7ca4bf844e2d366f854822918", "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "267bd60e442d87c44eaae3290610138e63d663ab", "e9c000b765ba5519050a61726e007c430cd5bfcb", "1ae8afd68c2bec15ab5d02299c739151cd668ca3", "f668ada16a00836498445bd29037e4af21f75d7a", "2524d9d45471fa8908b17f04060b68e7cfeff841", "8c8a61fc2c0e426aa64e50756b777475f3beb49b", "4938651efabea4c55acb9485bdb0858a82e9013f", "f59ac278349083a50871822ea08172258030265a", "7a329ed2735f5401d6f978036fb859b10a4fb96a", "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "03306aa44c4073c14fd798229ef5c81c6ae50314", "8b928332d60e995bce78ff543a2d7a37f1103ac6", "cad7845e9668884caf4842b14983ec0e45bbbc75", "89f680a78d118f14753056496dd26059ca08a6c7", "5e56c8776b5aa6edce068255134ea31670755b0c", "e8cda2c754670850ec722799640c6cb42dfb8199", "e5f39fee9b241b83f27ff9fce0fd027268c6d030", "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "795dec6a13b47655145e635a0e7b1ec04021ad7c", "61ed130bd12c5ff8170a9bcbb4e108657ec5942a", "b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53", "e48dea5a5c4d74ec12b6817997bbef7975bde526", "44880df54e6caa3e7263db7a4d5cb77838f4698f", "fba5b5a8675d5f9e57243fd7a1320193db321150", "fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e", "866dd3a16e035a7c724f8ec02d26e45655f7a002", "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "0b5decf8a99c49a64dfed76d4d31b0b71c293767", "f8549b73b76078a6c89a8c35040c73fcbc884e20", "f86792e5f5214a7a79b80d90ab1957a9050100ea", "40d4fab85e2e1557e61d03b92429d64c6efba101", "291be6e3027575287c24f4363e4bf7a8b415d4c1", "df01f6be9573a7864e86d960db7cf3cef3a8199d", "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "cef092bf9beed65e379ab48ef2b43498d4aaea92", "4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59", "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "fbece7c5584662d1da447b12e9a2be6fe626216e", "300b819bbbe857f5fe89d0895f907073fc288719", "d84f9b4dd297075aecec1135a280f92c8ce7f1af", "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "3d1b0c7e9ef0e31dd635041539e795dc07ebee86", "9db841848aa96f60e765299de4cce7abe5ccb47d", "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "094aaeac2712700e340827e2ed2b6d6e4c556ded", "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "38079a7f127ee9279ac99c4e18f87e80777cc895", "286f443fa85bc9d892ab54878c0ace0264d0dcff", "2965d092ed72822432c547830fa557794ae7e27b", "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "1442f7813f2a14c14f977b2fff833f5c502db59a", "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "29a46aed79df53a1984ee755bed4c8ba2ae94040", "b35464a8609a257b0b43b1a0faee0402a054f1be", "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "c5ba4e0a8abadb68b3de135e3da522059a99b2cd", "235f4fad10a5d9e043759354a7cb94122a8f10fc", "d8fcfb25195b71b85cec72edf160f00f160cbe70", "92980965514210b4f6dd074d122078d54684f724", "3a92179c7d9f938dd313ea2620f5b3329f167d56", "5014f5dd9d3586dae0572325085647ddc187fa3f", "18219d85bb14f851fc4714df19cc7f38dff8ddc3", "d7f22666206258c206c4634ad9b22f95e44504f5", "4eb2f74766378c218e01cca0f23db47df00bd1fc", "c74a42afeae520ff6ab280d17bccf0d082ba8de5", "9662acb7fa75691ff0e7d1be87763af469419b8b", "2a547bf34d185f80a0d476148721b6f05c276256", "4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b", "072457191c91a50bd16df6d211380c9fcc21a057", "d0f709ab39e280467d854064132570c1d5316de5", "de92ac27693598254554531d8cadfd4728c423a1", "de608b8696b151405105abef1de66a2199cf1f3c", "7711330fb88e2522a5779a09c1622b75557f9254", "751923405938a9f6b9dff74cf34dd34c7427b30f", "29d291e71334392f6a04c53a4194d4ff29a460bf", "11ce6be0fa8972659bd288a5f51c152fe38a1881", "5fad6815cefa1ea061bf495784899e319724df5a", "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "c77c094faf7b1a4e293609a0909c7c50b468675a", "8fe0a35dc47698b45f3812bb502b0921b349ae56", "fca56ec29f1d567f829be5f8477a81f1ce732f86", "71599901b889e24372012ac405d5cfaef79f94b8", "00b543d51bf6d16b4027ded325387518cb7fcfe1", "9eb891b89443bdfc8434e4c9e08dda0253fd242c", "1bea531e8271202462c7907f60a8458fa5aec00d", "e90816e1a0e14ea1e7039e0b2782260999aef786", "d8671247f6188620c6e382ffcd15d3e909647c63", "0c25a4636ebde18e229f7e459f1adaab1e9a2db9", "94bc017ea8795c774c9dd572ee44673a51dc631f", "0f94f4934d0a26dfd243852036468ecc9bf8d22c", "ab98cb28dc85f85da8b7b3acb090008bab26dd54", "5646fb8250f8c900e5f281665089363abcfbac8a", "213255dca20f9a62d5121bb3c875d99c57913a25", "1454b646866052ef61a838737bd74ae191210cf0", "eb8ee9e0672241ab3acf7ded2d22d97861da65fe", "fa8bb8ba04432543a65343bd66b4267ccb8d4d89", "78a77643f8040b3b6630985fe4236a302d73e562", "4fec93d62355224981ff6323cca962e6989c0b1e", "cdf246d2eb993e80786443a984729b874f958657", "2ebcb7d0f013fbc7225dd2305d76ff985b43eeec", "a07a894108b5ddc19d18e66e969f47a3b2a6e006", "622d84128caf728a77ecc720de4806592fb96e94", "8566231abd7e5bc71ee0bc0da84b8d76ce07a501", "5cdb9ef5ad646a6bdcc7c1fc33eab24e0a4a6bc1", "37e0b4055a4915ed0c802eb91ac3a72ceb45aa42", "83ee7643adeba92b6244ad61b71f539481430220", "5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d", "47d967496693a4842749df307280197fdb8b9c7a", "6008ac8efbea0f9cfddfabbfa02f62f742685028", "1ed39db202e606f25aff93f3e4fe135283a50cc2", "07ea8df90f4bf47d24a42aaec3f9b282582e200e", "d80f1af929b507593c06442c6ad93e381b40283d", "9829848932525928e5b06a8505dba2edda22c569", "ed0b765d4a477240a5c221c8b05dcc7e3abefd4f", "11a1e99fc65fb8567d7f52dce941231ea949db0a", "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "1a660d8576ed749610e0e040076d27973aee44ee", "05036f4b48857275f50a191f83f7ac1ff0bfc5b1", "da523ee3b7e8077713ebb7d903c3dc3bcb78921a", "dacf0682d0a58af9b5dcfe15243f30aaa2d94a34", "e66925e6aad8d89b8a140b70e495bcbde72c8011", "169ae32829821d5e22c4744a42223f78a88de3b9", "0db41739f514c4c911c54a4c90ab5f07db3862dc", "e7a8549865978b478699647bd259f71c516c4479", "0e56ba97ea6eac96c57ad4773af88a22d44f41b6", "55e28e4c174bb7ad2fd80be3c13a033bbd91ac7a", "632c114e12a6b88bd488ddfb1960d669f101ca3f", "88d84fb1aab19f756c9d839e2a473834ae4b68b5", "c8e32484bbbc63908080284790edafc4b66008d2", "3504852a821693857b30c47e08374b479d29ff8f", "a3650762391efbaa743b8212ee408b09f66f0604", "081f0ff96de80b4a29d9f52e6e058bb9482efc2a", "8ae88dc7ba177128f89223f48921e3a74d8bf1ff", "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "70b23c6d8c713f5663603343b19ea5873b6696cc", "0afc4ce1ec16ef0a9ebb255004348720e0fe8c64", "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "896e2776174dcb86d311789ab83a266151d0595b", "4c6ffe1cc479d86adf5126174900e2f23afb22a9", "7b78af7951708f6059d374e2385a69ea367f62d2", "e527cd5b8a74cb47b291ff5b3b793840e5fa5b11", "489ef25ef51b2a2e660f8085d482fa5801d59058", "a91c74e3bdbc560653e25fdb02d337a8d20186f4", "0d08ab78ce86e053ff3003aef951a5174d56beb8", "998b6a419e5ad9ed5b9e83ed43ee9688878505f1", "500eeaffef9b28d9253d5ac3fd0bb3a9317e482a", "1d08754a95715d1058772b48ecfb082bddfb16d8", "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "c2f2c89d7615df07b540748d6c53485c4cbfa9c0", "45a44e61236f7c144d9ec11561e236b2960c7cf6", "60978f66eac568ae65d3acdc6559273fc30bc8c4", "72a79f351d4ae03ff940ff920898e41ce960f58e", "d0fbebf278b7e4f10a25e583743080a57b2b3f3a", "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "9f182f2f1ed71e57cf56ef161e05ca3e8816fecc", "db640eddc51258cf6b11e442745d9a4bd5d6995b", "22ee43dbd2bdefbc8945d453c6cd453f49ab5eb7", "a9721f9680bb21a0849a912ed24eec9ba50def9e", "0b8c9acb478c856eb157c648b25b3d60117392fd", "d120b3c3ea620cbc6400f0e31d584fd2f2e8c8b7", "6e17c16fda71e8cd7abcf5b52b7f6438a69d9958", "f9296decd223b13fca96836caf42aa037cd5055e", "166e7fd811d104254155c90506f2f7e77947534c", "2f04c7aaac3a884088be550d1be51b4a0b585a2e", "b6cff4ba590eab964bc49e079ed1a72a49d9e3e3", "3803a2cffe6866600e0727cec6b0d8fe66d97728", "6388c3f3559b61632942856bbede67b724542c9e", "21262e01039e5994114b4c102fc80e9afa3f1bde", "2bdc0c79b26fed51bc2af1af16117879ee3f571e", "5317bd54ad696f40594d78c3464d86d8e39bd75b", "2cc17e1ccb5f1f67f8ce882e683d8c66475330be", "321d1f8d13075275b207dd048e9b655aa8846d57", "7e703d57e9eea387f4d01e47f4990fbe403e4a8e", "8e679b8f165b46521c76a766ddfb538fa90d3f94", "eb0cf5727275f89323e2cbb4c0f0515b8ece75f8", "b8b202fa955801da840afc9f523d439d14d87cc1", "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "4b2bafe419e5b40f667601f112c6f6cf8a7c86e3", "77b5526c488f824aa2a4e898f22a674a375b1aa7", "e38c0c03f272270aed6a39fbc6275b132dfb498d", "a67a84115304d3e55e00607d0dfbd3b20c8b8672", "c8633d0eff70feb0a378337237d4a03fec582290", "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "557890cef6e9285909904fa141ccddddc0da90dd", "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "2972997fad77516bbae27fdafc0bb44f0708e806", "5e8677eb21c3a5d24c52bcb93404416f7eeebc31", "f09bcd575c8bea73dcfb413840fb14d6a4caa4a8", "ffc02195ad8eeafa955680b128b99ebccf4b0a91", "159afb7fb0740f0b48b812ed5183c2229089044d", "39b741be40e093f92519cd15cd2deb6e114d6200", "60538302d064da95128f19b06413f0a16f5552d2", "ce6d4264e63b195563f8b958c129b03cb2c989f5", "4dbdf48318339a7ce06317137e7aa664ead783ab", "76a8d37bab548faef5e7ee1653be8985ed0713ad", "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "9e644b1e33dd9367be167eb9d832174004840400", "21ad377aeb6ff099c5a59fa82cec95b0bba177bb", "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "2dd3dff173686d66af70e7180fabd8755dd1307d", "1be32039596ff52fa09772f4606b65845d1c5853", "1d81293bc17a135cfd35912146c538cd81830381", "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "3b8f605c86007f7f22131e7c31ca5c327304589f", "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "8432cae0d463b46980dc3ba585affaaca90d1072", "075d9baf2ac827327a5fe63bb1f873c4f54f95df", "fcf0963095ff472132fe46d0cc543aff2735a0bb", "95296302a7fc82edf782cece082d7319cfa584b7", "296cacad71b4181eca4a571cf080d2baee229dcc", "7e02b0bce72a88f2f70b199c5dc87a01fe217832", "5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8", "f9f34a0558a58720e1aa55421ff7583f049208a4", "d5c14e768f91e97c16d6aeac8b108458d3eb8004", "42f643a184183d639e976daa756c277779c066f8", "5084ca7e4db3168e674414ae55cb6f4e682214e1", "6eeb16c858a53d48b7d669d1feada739c80c8563", "76c327cce83905bda72944407fce7746ed0cb6fc", "afa24eb881c7011e851f8a12dea32a7293cffefa", "7766ab86a7bea8809129e4af769b4595578e63fc", "529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19", "2731da4a48291640b2698cd5909c283484db10c3", "e37c8e2823cc3429caca4420f19adf329c62d313", "8877c5afa16b025452e444e0798292fe7ee4dca6", "afeac9270149b927b592e2299d11095fbdf8d308", "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "0b79f0999eab1e2ac586a97dfc9a71809e7ab262", "14bfa18bc0a9eaf28732948813c764390c80acc4", "da628bf4add6e2a4631be1267033143e5f716ebe", "62dc594c1eac220d2116506d187d9fdd5ff8e795", "60fb007eef153fdf9c3d6620c419bef1c657c555", "1a20c1d04b93d91cf2fd0b4e3c7bf1153a93942c", "ad88fcfd12b62d607259db8d98e2a1a0a9642ca0", "4c39000bbd6761dd9e5609fe310af51facb835a9", "189ff58190c6ef1ff49b46f5c68a7b124b9b0059", "092a4a0f16287c26dcc833958b87b32346546c8b", "4adb3fb481d5ec33d6161d780162b616ab6c44e2", "1f55079a33023518748d66869e7c539994c61c86", "344f647463ef160956143ebc8ce370cca144961a", "b40622567165b372a6e15928ab5ed41413d1d50d", "bd8ff0bf1c6ae27789cefebe2f55dac25ce6f1c8", "9edd7c738171b0f36b65ae771711c38ed1dc38ad", "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "dcaceb925cc523b33c32f92255094f70150e92d3", "eebe513912302604fe0601b7e4e85203f69f3b1c", "8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d", "0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a", "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "6d0767ce00979afc26940456994970bb488d4b46", "6eafa9a536d10b460f780e07c0052e7c246059e7", "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378", "0f29710e54f714eeea5233628afc68c680d881bb", "9b9f921646571ede31671ccfb6763d96c22642c2", "203abfcc3df8de6606cf34fa32cf225627f52d00", "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "71d3ed17c0642234a921bb45fcadd86520794941", "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "78f4e29fafad7a0156cff6d14e9b92c8b8533d4c", "bb5855056f9a7e4c8f945bd965526302fb5db254", "3481a544e28cfc14108b0785eef7c12747e622ee", "a8123a4e68642b602b5094f2f670ed7aefdd2f58", "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee", "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "5055ec9531d57c6b32e5d122b04602e7441459a3", "63dd47f7ccf4bb22c1e308b263ec65ae382c86ce", "bbdc66937d1ebd5cbde36f3fe8051e168bd69603", "76056730a78d286d1d636f7d6239ec510a1a346f", "016860404c0926dda53b9bf4745f3eb9708fa1d2", "27b2f28fca10afaa046ae3821685d05a267287cf", "ba6aec7f1b17833e7983809926a90951469f5520", "0aaf9868487c1d2ca4c73aaa5f3530df6ee431d3", "1d8a522bbfddfe86951ea7605c7df058b2c2e1b0", "1da09ba7340c77b3f943c15f80ff40f6f9d14eeb", "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "b50edfea790f86373407a964b4255bf8e436d377", "4801256b4ee39e71d5a9a1046c57e3ad4af6735a", "d754586d1bed2074824d650305cb361ef2706f44", "8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc", "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "232f21aa133b75156665175158c65b89bded4032", "beac7c1983bdafc75384e35a1bfb04c52ff821ba", "22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b", "5bb24d1250df62a56cab1445f1d8c5c61269b785", "6a90a2bf7f275b81596e0dacc78ad2991eac0311", "75a92d92ee59555c847973a7422d7356514cde2d", "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "97527b3c58591926800e3586e13d99a8cf5b17ff", "7c349932a3d083466da58ab1674129600b12b81c", "3b42de882cfba6766f6ca34d57fb5001f2686f33", "2f43233c1c165f225bb002874dac967736525d85", "a6f79e6b63ff8f6a2e472625d9311e8c60ac36f2", "6cf9322009fb8f36c01fc54d213e9cd745e62468", "e7397f7f0e83494825d63b75bdd40c3879f369cd", "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "fd1003eeca71ea2e92747767bfc6c862c6036f37", "0063b44da282eec78045ab59d2debbf61959a4a4", "9d1e32f6af50354b64ca8f004746073473559056", "4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4", "77f98d1dc114e4a7a99bbdb2363d74f549dfa417", "451d777ee33833a3b5eb6ba5292fae162c6d265f", "2f529605ed776d4fbeac2d73054247b495504ac7", "cecd1bae0495610fc6f1ee05f6bd65d701b75259", "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "f622efd8f7ecdad1b5352ce6d8677f44638425da", "900175d24928921600d09985211b6b9bfea44ce0", "6345eef2ffe46da6d77d07446c1329da7ea00f45", "9e154dbb24f5701921870f5dbd5609182e2e9bc2", "c0387e788a52f10bf35d4d50659cfa515d89fbec", "360a590703542f2ba345b432416398b6dad9e3fb", "12a99c832c023415864f922197dc645e447948eb", "a53ffc7a9ca049cf265dc37c818b6283f56b6dbc", "101c5b39f4fc4dda1f39bf0c00e196f0a4720af2", "74fcbd059e6749ee5073b7323d121132799f97a1", "6f0417ed89e3750a3b39d0bd7de2b4d12879c2a4", "824364e018b4445bcc61ae86e112e68a4a067108", "2efc6f98720b804345c030e22aef6c9f4a53023e", "2f2aa67c5d6dbfaf218c104184a8c807e8b29286", "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "610c341985633b2d31368f8642519953c39ff7e8", "d348197e47a8e081bd3f12a22bc52b055ecd8302", "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "2e43e602dd3800e08d7660e20a128fea49393d52", "0deca8c53adcc13d8da72050d9a4b638da52264b", "afc560bde09cb47eb2811423b14d14bb6a5d35f6", "cd7c007f5831b294160eaf1cc6270af4a0ca9bf4", "8e4508e86d838356c9ec4a7011fda5cd1d8d35a3", "1ceb1c0fc4a9673da6c394ef729e02c9fb96a83a", "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "9059188d07fee979f556e3a1fbb6cd76805a6aac", "dbd566003baf517c2682be50bf50cc2b046ab511", "5f5164cf998a10d2bef37741adb562ab07fac413", "d1dd0c714950cbd89f76ec6b039201eadf74cade", "88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "cd041e47807124d2ee9e88cfdfb47491da8c2b13", "221c18238b829c12b911706947ab38fd017acef7", "98c5b88db35d7ab2d3cc0a63c7ff1414160d2aa6", "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "bce963c494ccce1c66757e69993f578c37564f6d", "bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb", "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "4e12080616da4b540c8f79db2dd1b654cd8345ce", "53baabad70915a852477c2191b8bdb005b8cc4a5", "78569509e61269f5d2276b80f4fd41c22617ccc4", "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "a3208914f7a611bc0135d711ded3a3afe153df0d", "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "b5c3df6e0e3b25411151d92d431908adceca1a23", "443acd268126c777bc7194e185bec0984c3d1ae7", "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "570f37ed63142312e6ccdf00ecc376341ec72b9f", "239492717385758c0e64afe4d31b789d000c18f2", "31bac8e29c25d19c11303440834e59ca8ae5a45c", "757fa14ac80b2c375a63119b63c2de257d1a8298", "0cb55c0e73f5eda18849100412499e7dfb492022", "daf99b3ae2f2ca19aff571d88ee47bc45ac46350", "1efc28925ec65879652ad9d5f8be53037bb2f306", "fbd287db41bff55956b9faf4a226a39efe96e6da", "65cea66a59a4e75c8403daf3589f81627d5afd12", "ab02c78c9cc4ab80da45def34f0cf2c1b54fd8ed", "c65407a1a25b3e47cbf21b50bd02c929f9cb5ed4", "9f742d1d5fc7b8fc0ee5affaa4642ed49697df79", "a139c62c27a884cf447ad020cb7b154e63477681", "8ea36b58bb53367d312cf38b7b15013f470fb4f7", "09d453d4949b9d2b0dad1d5288e02ca9ec7da450", "d7347d239a458d47c4cc0ef01c1cd4cd20c00405", "42617a3c9b059f7b53d3608c71b7dd9d932f3c5a", "97429525089ca6bf3b4571274667c92a1677b7d9", "112cc60d3c6268b1563df4e716904d29a7feb466", "469fa274bbef1e8c7b5b4b1948963abdffaf4e1c", "5f6720bd97d74b57fd297dce197c680aed009e05", "06cb261c063a45e14d311fb4be1790857ee01db0", "703d4f376eb2379ccce814c729d15f1165312167", "63a1efb1dc6d269b9f77aea5adad914c30e62686", "c782d122f1bdc3a3d100eb340b498aabff199d12", "3d657f1e499260a3235ce0f955e6289db32d5111", "31bec2ba11ccf217461a491e810dc1d8ef33f9a9", "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "96c10ff56e51a2527239428de369e03df388800d", "608ad1614d8d35d038a3e5f45196c2d43a0988a6", "c6579c0298d055f1c09be99c7329727d37f09556", "a41581276c5d6206ce79c1c7b319556de0d15234", "06288dbcae43ebbc69353d5e3a3a5e2a224916d8", "095c44e6cb891a2397aea491914e572019c7a0a9", "98eb6c5c600012472e7e3f687492e047e6ab358a", "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "c149626b93c8949fb8b181c6220d8e8e8a558f98", "c8663b8d0d8cdbbbb3e9a5b7e46bc33b3eac96a7", "8821f38a22399a4f156984b3e0e5fa7cb3130d88", "83cd39c3a171dbf3e684899c79bb596652d32d91", "4da29057449df4de5b4646ae6a46d622b4d7d0ad", "5b516862b93052cc2335d78a832641a38304beed", "36702fbc5195a6bafc0aa62aaa2b084f80e59785", "aff880b9d855787cc5c545e124fe0ce5212f0024", "0d734f1681c116fd6cc50125321b4bc7f1651133", "6beb699af9f5fee492455ed2632d853952df726a", "6e50c32f7244e3556eb879f24b7de8410f3177f6", "f7bdb849dafe17c952bfd88b879e01f74cf59d78", "b93a71dfa6342fda64ef6cff8b2fe81f728dc642", "195efc2587512a08c86183454241d76c216573a2", "c731a3d8ef9121de7ee6a14dc70e0e774792982c", "3361ddc93a6d9f451c1b94cc488c52fd0bdf5c83", "95201050f70d94185eb7bba8d88fda673a38b275", "78f5817a2ea36e28ed613ac16302a17b19d11e63", "29249bfe8dbbee213f8b56764261f2183fd7e031", "d5b83d6b4a3c1093edc9138ab9dfe4e965a80261", "ecb927634e8a734710a3b3734e1bffccac7b7061", "163dc2bb0ffa32ef011df09c4ef7e3cc4c24ea35", "36b1370ccd2e7f087111deed453c275f47a5e3a9", "dbe2f62c086b2e6617c7744f8c242de401f17cc0", "3f19995932abbee5dacde0c31b78fb182712f610", "d5820ce33563f44f0c3127d46654a2b48aac12cc", "7a97fcd6131d2f90eb6580374eca63956040d954", "22e189a813529a8f43ad76b318207d9a4b6de71a", "ed587213a5092c623bbb7ee6e0c85d67c11b7336", "030308b637b6c902a120c0158ebbcb83877732cb", "48394fa271cd182372c6fb82342d7080554f735c", "1e6278eb2716048165969d294e110e5a8df71e0b", "8e6adaf03ac84acc16e428869b66a5a1e94ed753", "a057ea7d7c980fa53b0e0a87052ba11ad24157af", "51cb2116c5a32d076f54b1a192cf4e850390f665", "c73c11bbc0bb5a8ff94ebaebf7f12560a885b8bb", "1fbf9dddf0bd4c115e2256cbf5d3a3bcc5ad2060", "e2b52c31e04b515c1223b547b9aa73acf0af9456", "15383ae2d86eb8c5e172168f94ef915a7a238b72", "3303f4c5dfe63ac157ac36e45c46a592cce8a7b9", "712a86afe7b479dfe583cda521dd0a14b0182f3f", "87436afcf6e1d602ae4b72845cb27ae84825ef77", "5c976886fcda366d138038f796a1bd9e8e9b5066", "1bf478f79c5daf05b406f7f0d5cdf0508661646c", "05554c8b2b7b50dcc664360d5a0b95f1946ec2b5", "580304860fa244553e10b58ccf9a9ed24a999eff", "f38b7f434ec98ad85b7b6897671aeef6c9079fa4", "c0b5282ab89749fcc2c5890793e7fb7c2ce6f19b", "7b3e725ff30fb9e70482af0873f46c599ac0f675", "e2d969752015f90d50a2e85c19d5b391011bc9a3", "d1e8672193befaf62ad327fb88da0685976746ac", "5e4e55ad902d0749d463187dbd453fd235a1379c", "04741341e26bdcd9ed1de18e5a95c31d7b64fa36", "fb7dd133450e99abd8449ae1941e5ed4cf267eea", "643337c78c920dce1f3f4ee06a88e3db9f0348b1", "f9f72562b135a4c04974c9423dba6b5c6192541f", "88bbbdb657cf23d5d406899168bb028b4999aa70", "a2ea1baa4c74cad680ea42a7f08c4d5804da10d5", "3d0b133bb5a2559d8a60898e90f9780a94b6a0dc", "89ae6715e6e581046074935912ad50e104a6a8c0", "7c739dddc905c967e0b432dc7515cb1f4b82e580", "e3e66ee37d08752dc19c3e3b212f869c8ff19f71", "e11407869aa4ffc24c2fdae5e22f29375639d343", "ced61099a0306d555486162670f1213f2c72b020", "b6c2a7b6e36e2a9f8c9eed7aa40d70d09d2c1706", "5aee2684976acc3aec1f60da5db6b000786eafd9", "3e36e6fbd7b33e37b9b68eab8d50ef49840987ea", "45c70dd300442d636e47ea7bf4af7df44d07ac5d", "e1cb5ff731dfb84ee46d8469c68964b7c4c0f3ea", "67f42733a8d147bc432bc79171a7c976e99374b3", "e532dc46f7a28114fbe03d256e0e28ed30929692", "e6d8218e9859ecb4a0aab781493a2cac19632a63", "816a7a4f8ec926502be5770bd33fc37dc8f078c0", "87e5e86ea70b8cedf68d9f7e36ac29162366318a", "d7ed4db868fa2481c0c7b722df1496095ebfedf5", "4189b500e98c4caf68046a124feef6397bcaa555", "782bec46053aa93ebbbf5d1d27497966b2407848", "9445d51fd7977fb11a34a0e522efdcdee0d5cd95", "0c7874aa162fdd85217d306f32b324832d8f1e35", "0d62885b3e5a5ecc6e9f22a96319f94711f8fdb6", "64e05d69c74c5f3b8ea091f74039330fb96aadc8", "61228ef559e4d73c8c726115f945f5f86d5638fb", "8b2c9743de156189bf927a158f21e08412ff0de0", "405453a0ec8b66ececc9f51bd7a3fbd6e2fb80cf", "6890123baba105254c91adada3665f84017cd864", "b859e1c26cc093530737a60016efa9b97a862444", "c32576bebf4e0ef6e827776c6f880ae7706fbcc2", "9bdc71eacf7440bab8d2852f229da537498c9546", "d610513cb0d35ddd2a91ad428575411519c2ee5e", "b54f15a02d8454333ca7dbca665f7712572b56e0", "417890cc6d43a3082a6ab2ac64527f8db5b0125b", "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "170e9cca569fe8141e88dc21bfbe02bc55090e52", "a6bb8bf77bdb4e65612384321db25708fba695aa", "2942964bc62b3d693b9bf238173fdca6e1f57875", "c18e11d0578dc67e46160afa527e1a9e73b8fa15", "7ab90189c9c66298c900fde3de4c8d77fd035d80", "f56674e6a4d89bf8855499eea0a043fa14fead70", "df670cebee69f10f3f320720b248fbaaa017a4e6", "64c1aa13fecfc1cdd4231e39a40a5f6db91b90f8", "bb08d1570685a20861e9b8c15c57aae9c01d3eac", "c320243eed20d89a9bfe7334e2adf1e6a16322b2", "4bb261e727835aca4ac4b61a6147ab5d84aab709", "8abfda3c1e1599bed454661f15ee0bbe7f6b8c12", "d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe", "267b78d000fbac96f8187f6baa5ec9d9cdc23536", "7198f45e979d4e7bb2ad2f8a5f098ab196c532b6", "e37681d2fb9f65ed14170bb556cf64156f055167", "3df8cc0384814c3fb05c44e494ced947a7d43f36", "67ac49c44b8b80568d0f6b237050167f743451f0", "09fc69a06f4c709846719a06a00a8bce533928d7", "e596753824ed56f17927984f78f51713b321588d", "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "ec4a673cebfd566b22ed98fe6f9dd6c930b83854", "259e4aca87b8724b4c9df2315b976237481a1929", "aa3e3f4f1159e3af45a32eb0b3e206204d201721", "7711bf8f04e897034dceec10561c18b63a9542c0", "01e214009e6c9dc7ee566fde4f089c5ddb739442", "51749a7531bc31eab63153fedbda840f290b9a00", "051bc84485f0d9be02003e27e0ca67e9a06f2e4d", "fa95ce52d821499547a68048d35f35a0dd171a25", "4e8f65a536516410bf52dfb64a53da3608ded090", "c722c3afd37649f1f4c5ac9029c18206c7378ed1", "9564b36faecb356a56ce4a3545722a94daccd4cd", "37bed9d4fec61263e109402b46136272bcd8c5ce", "a37ff20bff5215b36317e7a2b52833b061d4e7cd", "3e93e41ccd22596ca478f336727f6340b12e7572", "0a5bcd1c9e88ec6b2fcf4699a8a0a93547bd07b2", "fd6dc84da8c4512e208f355a2752743659fbe43f", "a2b78155f74ba697b76f83aa3cf2d4935434628d", "5cdf477723fde8a738e3cfc0cf367502f68b950b", "ca228b42de0f0311f4826292a2996d3348ca43fe", "30f464c09779c6210397204901d025c0def1fe10", "426c39358d592be673b72d26dad4560b06ec5d89", "50a353f67a64420370517e12d67bf79247ce077a", "45b9424e1b719d05c1ea08d3a1105e8d32ba94e7", "e05f4e761aded7f9feefafc802bbd28b15a4690d", "0f7ca11acc495f1a45fb2add4cee94d445d8d96f", "8acb55a72c4d6eae528a99e571b4a24d51f57fe6", "7f9832031d61c46f051dad9a0d421338888b6b00", "7cf72500ace743d360af90a3f6d8c6ced984bf75", "580f86f1ace1feed16b592d05c2b07f26c429b4b", "198005301f7e3e3f9ddf5d4c1a403271b222702d", "9c5cbbdaa76e10106c4ea12a17826bec88e5efc3", "620339aef06aed07a78f9ed1a057a25433faa58b", "6dbe18855b85bc6f218c53993cf289e2607518b1", "343acba1d609c1e6f274e3b6733c9173b5a46342", "bbc8254b170918d619574496c138dac101dee61f", "c0162b2a42c5f5e350648e600e9709afbef816f0", "1debc9cd258a8c66045f01bbb50b6c9d15883256", "96086909b0b89894aa5423f19d15d5843b95ca87", "c0d79e6077c47d6289ab89054f2b51653d887958", "5808f5285bc60a73bc240621ad0fce606867ebc1", "ea2c44e4792c0d35af737f46a2dc2b78e6dedc8d", "fb198416cdd5e1e3d1ae407c1bf7b462de996dbb", "343d21ae54b45ef219ac4ba024265eeabf4d6edd", "6438a73bade949bd2858ec0e25de52b59be1fdb9", "e020b5a55f73ba41d780be572e771ea6da0f788e", "82087a02da7505ddec4e78f864989188ed20ef8b", "186a637947086efff24e307317c0569288871ee6", "4afd04db8eeb6a4cacb616b0dd193819bad8c2b6", "dc47f73f02ab6b84acf8b0c25d8c1f62e148efca", "bef7d5d2c5951ae9ae85fcec4a7eaf5dfd8196c9", "6fc1e886659838b2ca08dbaca291420785fd51bd", "8c6db488bebf3fb2c50d951c4a9f002a531f9b61", "39af7f265dc9d647d97d94a1d0c12fa36f9f79e9", "a87ab836771164adb95d6744027e62e05f47fd96", "0779875eff440365184dd8bf44e9f85f78267c5f", "f3161b75de1e37b0591f250068b676ea72d1ba22", "cbfb8a1592c30a8cc765ceeef2c64c7280435f84", "734fb6d51d65207c524b211557277be1b0c8fbfb", "8f4a8ba4046acc9a69583b53e1bdaa579e62c42b", "ccf7d46c143e0fe7687140f96f65b96fb38d2403", "305c4d91b0f70853a1cb0ed2a60a466b84e5c13d", "578d4ad74818086bb64f182f72e2c8bd31e3d426", "3423f3dcb0edee1c5c6a5505b9e8c0bbdcffbd51", "e260847323b48a79bd88dd95a1499cd3053d3645", "3c439abbda16518c3dccfc70051a2c36b7fb1501", "2d8eff4b085b57788e2f4485c81eb80910f94da0", "725597072c76dad5caa92b7baa6e1c761addc300", "44d3b56b02375aac30b26e896f4e78c9f5c177cf", "4d2022e3db712237b95fe381a75dbeb827551924", "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725", "3ebbacf0bfe95781e70ee37085bb2addf30a40a7", "9a8842c5c625e55e794ee90e36b2d4bea16dcee6", "3597ca03bded3717f5c88273e4b7dbf24545ff83", "a0f4ce26c8cec8d00e0250388f448570ac7dfc2e", "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "56d3df5ce2ffb695728c091252087979be31f0c7", "80c8f118f37f990905205eee4f3b3811e0488bf9", "21bc819e9d6c5d5c545b50addaab6f54f719a05d", "306ae56a4fc8f090e58a237749950e1607382ed7", "7234468db46b37e2027ab2978c67b48b8581f796", "a9426cb98c8aedf79ea19839643a7cf1e435aeaa", "b4ee6b62f6a89feede06da5fb7e5ad6ec0265175", "0ba544ff0d837ba5279b03eb91246d00f2c78817", "02ddda27cef81c363ffffc4edfdfbd1dea14149e", "60593c176ba39e8cb63ba6a7bf936553984bb67c", "57fe081950f21ca03b5b375ae3e84b399c015861", "4d3335465f818e065ffc70db58db43d07b9d265c", "fb9ff8e4240c9bbcf5ff110f554e29aef54d60ff", "d18e2ccc4f1413870a760a11e7a4fac19aed5553", "72a155c987816ae81c858fddbd6beab656d86220", "2e469c6e86d8f9827d8e665db3b343fefb0451d5", "efc7a620e21abbc882d5a26f0e7a78ae6960be20", "4b970ce5297312ce8869745d3aabdd3001dc47ef", "bbc76f0e50ab96e7318816e24c65fd3459d0497c", "1f4fff64adef5ec6ae21e8647d5a042bf71d64d9", "1dc35905a1deff8bc74688f2d7e2f48fd2273275", "89a245eae1e7eda7aa8e360c0cdb4bf6a72da225", "3274a13562029f36e2f0fad3270e3ecb9ca013bd", "b1bd2e80fac0b3629f46a3e7fd403e82688fc733", "a317cd9435900b9d47217f2896d55fc2c49c8b6b", "2a12c72b0328a23b0d7ea63db1f93abf3054beec", "4814c849a1c441d05f33c7089364086de88d3f52", "17e0d8f9cc53f2c711d73eb7af33f59302a1ce85", "0a20e2fbe52efdb794b7566ce5233c41f4c5efc9", "d3e9c5a63215a9c46bc61ec04df5285ac355e42c", "7673d5fa77770629d040fae54c214c60ba69574c", "776b77306bdb852c89a22ba142fb57c8e8bb7bb5", "9c641dd3ec81b1976ee6ad4c76eb1f9a6d5eb882", "79c7a3fd16c575f68de835efdc5e25e9fcc7d438", "13f07d51c073964d11f9af6463fe3ffe5475c393", "62d1f420eb14c11a6df613994b3cf15f9db05ca0", "16d38a5af0f60603c5edbdc32885146f6df5e0ba", "fe7849b48c0b70118030ba0da9e39b1b190f9077", "012e281061126caf2e2c94ca6ba0116c8a8930fb", "5fdf4a86a8991c32306379c809967d27d4cd18f9", "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "8a323bfe03d72f288b0fea8ebc419b4214792058", "1157f18bc9019e5639bc70f501165c7c1cd21a31", "a0a41d30cd7eed54c714d9088319c86220e0f30a", "1d351a4a61d55c982061195f46bc93fbc390fdc4", "d8d1fb804d1f4760393c6fd70c9072fa1b39f02c", "aa261599d70a9e649501cae5cf46fbc56229fad8", "05e6ef04116fb096e590d73d6938e4fed6426263", "4a8b21da621a33b805906140b08c699a09ef06a9", "5bc5cfc2622f6b0a0003d7b115726d075205a2cc", "d9dafc343727db2b6060c868d748f97eff6bac7d", "7c61692a8cd885a36e8c93114a81417182e0a111", "ce60c28cce422e1b8fec262eb2eb1b72b78c3e47", "1f913bcfcdce870bbaa9ffedf179478d1fd44522", "7d2897162f727b02debbe5a3648c63f9ef3efcc8", "0ffee18b495830d373dbc65f67a452d94938900b", "922e0a51a3b8c67c4c6ac09a577ff674cbd28b34", "4ba1cf65eb86aba729192d2f0fe2cd064ac346cf", "e1924a925cfcc3db29f8006b8eed83aad9721a24", "e028bef776114add5e323a6353c57c8c5a8fdfad", "d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae", "58ecbe5e7d10b4176ceaecc36ae05e15908289c2", "09f853ce12f7361c4b50c494df7ce3b9fad1d221", "e7697c7b626ba3a426106d83f4c3a052fcde02a4", "26f5b8a79fac681ffb132c4863c51a55bc2b20e2", "0629bc2b12245195af989e21573369329b7ef2b7", "3f008ef45af7edd6473d164e3da2a8baa6f37ff0", "2ea19a1b18e29d9fd5bec1ff5e123d181c607bbe", "d50751da2997e7ebc89244c88a4d0d18405e8507", "f83fb981044c707e3695f68999347a0a7ec5000f", "7ab41d2fb37079d20db5e25fd6e71755673f82f0", "8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09", "432d5eca44ff558642491f3bb7f44f500993fd38", "016194dbcd538ab5a129ef1bcff3c6e073db63f9", "b6052dc718c72f2506cfd9d29422642ecf3992ef", "9b6d61491120bdd579f53e8c5f7cbe1e05cbc91e", "5a6b2f3a542322be153fc9104f3064f2a1bc76eb", "98fad0d5c3ebdab54732b49cad3d8b3a3a55d9e6", "cefd107b19201cd9f403e2f9332c690e81f770b5", "b36a80d15c3e48870ea6118b855055cc34307658", "09749e7b0ae6bd9ab37671fcc4f0e7a7bcf9ff2e", "fff11f4dc03cc0c84bf9094e24f4b2adf8a5205c", "6097c33a382c62a44379926ee96b23b51dba49c4", "861802ac19653a7831b314cd751fd8e89494ab12", "982db27f0a092d5c8db88e959a77fae5b4f9cdf6", "d82681348489f4f04690e65b9ffe21b68c89b5ff", "b91f54e1581fbbf60392364323d00a0cd43e493c", "c8f216dbd43dda14783677f44bb336c92211cd46", "a3add3268c26876eb76decdf5d7dd78a0d5cf304", "24078db5422dfddf14b00fa79c38efa553845a10", "261a7be6c650de797c7490aeeefba98662acaa20", "846372d7181279e93860d54ae3b665ae0ef19d08", "c32fb755856c21a238857b77d7548f18e05f482d", "f7c9bafc66dc8d8002cbb2ea926378bce2b3b251", "1d6faea849d6d05bb74f84622302976a2305a17f", "37acfccfa44747f956e4c0c56aa7ed5cd5ecdb85", "220b66f1d7d33c3d6439133c211810d7cd642354", "4aa27c1f8118dbb39809a0f79a28c0cbc3ede276", "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "9aa8daa04347f904e277b633dd70feae12cd7c42", "5ef98034e3b662c6bc0dc8f4e863b0ff72b6e9d4", "ed2f711cf9bcd9d7ab039d746af109ed9573421a", "a6ac6463b5c89ac9eb013c978f213b309cc6a5c7", "06444375d9a0c44c9eb2d697c6b8a7d2a8aef430", "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "aaf4d938f2e66d158d5e635a9c1d279cdc7639c0", "91f67f69597a52b905c748a15db427c61f352073", "5ec89f73a8d1e817ebf654f91318d28c9cfebead", "74dbcc09a3456ddacf5cece640b84045ebdf6be1", "e84e49c9530897fad7927a06ac4a48ddaf0adf0f", "dedc7b080b8e13d72f8dc33e248e7637d191fdbf", "1f3370e2e6381408efe11e69ab12586bd6f74dc8", "18c57ddc9c0164ee792661f43a5578f7a00d0330", "ae9ab89c51d264fb7b6b57d37399a7c629836e35", "a825680aeb853fc34c65b5844c4c4391148f18c3", "3907d83f14ba9e2b8a93c3f02b04ca0b81901c4b", "8f712a92c63856d700a1573d8b911d8cec700451", "f249c266321d661ae398c26ddb8c7409f6455ba1", "73f56d17e91e54c9e4bc86477d01399f07792f79", "f53ac4a7f9dc5b641fed6a48187e12fc9cac7a87", "7fa5ede4a34dbe604ce317d529eed78db6642bc0", "7e6aace92f8caaee4fbce488fc35f03baf30ff1b", "64e471bc1bf422bd760a39203647dd6b3e83c1da", "13fad0ab765c8f92c2c7ff05eecbb164a3e0e56d", "394bf41cd8578ec10cd34452c688c3e3de1c16a7", "1fd8476926a2b583657661e3a9deeb93033c2c85", "a20ba0057067a3a4cf662c0c5e1119a173d090ae", "600ef88c6cf44b05e3812d468e34f51cc62529d3", "ea9cecb5b619cfa4afef6c70e193c2303696a4f9", "b7c4b22d44be82b2e1074c5c40b76461db4b0292", "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "b4b1b39f8902208bbd37febfb68e08809098036d", "e3498ea2ece32753fe714bcd5186d457a6bbd1f9", "2453dd38cde21f3248b55d281405f11d58168fa9", "ccb9ffa26b28dffc4f7d613821d1a9f0d60ea3f4", "462e4d0b35bf571bfc35dcd8e9bd589dca07a464", "3df5e17e87144b1e84b5ab9467bc2c2f233b66c7", "d38af10096aa90dfccd7e4cec9757900bf6958bd", "e22979cdf147a63be74f3816ef59ef11f3508919", "5a14209a5241877f92743d04282598f41fd3e50f", "93e3aaa3bf274cb6769002fda32f61acc46f3e8b", "c5318c79bc1b880e8356211b837b684f1ee6e5c4", "8c1e828a4826a1fb3eb47ee432f5333b974fa141", "a8eeace37181dd87d5125c213add6e15fdd9d9f7", "36b2aa7248152fdad7bc7f670d0b577c9728d466", "0790c400bfe6fbefe88ef7791476e1abf1952089", "442cf9b24661c9ea5c2a1dcabd4a5b8af1cd89da", "56d9e2856e4edac2677672053c4ab767a2265465", "4bfce93a0d431e9f9c908bdf467f8b58fbb719f1", "04eda7eee3e0282de50e54554f50870dd17defa1", "622078fc9a773f37e61c8e5523b99ead27bb46d0", "00319cd17cebae5e1095a248260bd7be15781362", "622949b1aacd316c60a7034c44121c698a3fb6a4", "90a4125974564a5ab6c2ce2ff685fc36e9cf0680", "c3dd6c1ddbb9cfcc1bed6383ffaa0b1ce4d13625", "b786a16ca5d84257bb98024751429c9f42005e62", "f0a0f341fa1f91ee58a5020297bea02f8863cb26", "30aac3becead355545b5ab7f0c3158040360021e", "6fbe1d6815d7ac427f9ca528960f07bc8bf34a37", "f1a05136c8b8f9334a4b3d9de2a4b192d2c762c2", "81d0815a09b6c73ddb68c96efbdaf3f92968eb1f", "a80fdcb8c837fe7a516de7397373f4c4d6de2884", "25e9a2ec45c34d4610359196dc505a72c3833336", "935e639bebf905af2e35e8b1e7aa0538d7122185", "7f26671b68b5491e553ab191e85abc1bef43e90b", "211435a4e14d00f4aaed191acfb548185ee800b9", "087a6baef9d81178f2f8f001aa9be4c0d4ed7733", "4c477ba5513ec9c629ca3442c1fee15612259905", "229e105fd4d34815e476702dd5ca4362943c475d", "330dc3d87dc80dfc9fd5292cbe3c644d24c000fe", "9fae24003bbedecdb617f9779215d79d06b90dd8", "dbf6a25d10a312b38b862fd88f6cec9ed71400dc", "7820021d8a3eace969cea5f4865c5aeef4673596", "0c1d746b8e0218feb8ecac1b0b4bde16c67dffaa", "c45681fa9d9c36a6a196017ef283ac38904f91bb", "45f858f9e8d7713f60f52618e54089ba68dfcd6d", "52a86eccad4ae8b15b4585d1691845bf2b8707d0", "157ee7498320119f6f5da2d9c592448986edea7e", "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "56662bb8a29e7d0064a35fb38cbabaef4578f3e0", "57bd01c042a5f64659b3a9f91c048b8594f762f6", "5cff58d081a4732b11e6da498196ed6fbb54d15b", "9716416a15e79a36e3481bcdad79cdc905603e6d", "97265d64859e06900c11ae5bb5f03f3bd265f858", "264a344e4d65cbc14d52f0c875f4534217c37bdd", "a19904e76b5ded44e6aeb9af85997d160de6bb22", "473f05ce910e7f20266880eb580d3a3aa877a98e", "0969aa7d4557699b7460e4159658828efafed8bd", "96a9ca7a8366ae0efe6b58a515d15b44776faf6e", "300ce2d1ff744fea95fda05d2f3d48766c283042", "baf2607f15aab164289e1d4b4097813a65cd118e", "d0e20aa3d61b77d17f005a1d24d7cf47600836ef", "f0dd265dfbe9ffe86ca56ba053335626720059a3", "513b8dc73a9fbc467e1ac130fe8c842b5839ca51", "7882c67f555b761e10ecc70216db25382890d9d7", "0ee3aa2a78f9680bb65a823bd9195c879572ec1c", "cac3bf3ceba79e6a6c8e51eb44c6862b81661f85", "a776acc53591c3eb0b53501d9758d984e2e52a97", "10773e5c1bc8a9a901a8baf4d0b891397975ea9d", "47488b5e84c60a32f59a253750d06bcb8f6f7f63", "a6a42e06c9501052ffbaa1fda4ad5552da6c76b6", "bf7cdcda49853bca3d91255de1a82a1fb066ac12", "5b94093939ac42aba54ab41eb1725aeba1bd5c34", "f0b77702c8f2249ee1f48e51ff9b86faffe177c9", "c0a0adb7f02d5509969e6107c914f7cc6e9ec881", "00f8387fdeb6f009ffdc9bef6a94b37294d77633", "41a5e043d499967f405e823b959e2ac4fdf9ff71", "423b941641728a21e37f41359a691815cdd84ceb", "833bdee366f1e6250dea59bdebdcad271c7cfddd", "9cf69de9e06e39f7f7ce643b3327bf69be8b9678", "b300c37a6132446590cd88ce4dc24e47945e9a23", "1fbb66a9407470e1da332c4ef69cdc34e169a3d7", "666939690c564641b864eed0d60a410b31e49f80", "54fbdd6f2f916db9a518f1a2e0b5d235931f47a8", "96ece788e0db984a27a11a9a10b6430f6f7299c5", "0306a275e80d11d65c4261b8f3d45317a49c1bf7", "2bd94a9140be6fe58e5431b03a45502b31fe6cda", "0089a590154694e0de340f357a022f6a38d60946", "51e8e8c4cac8260ef21c25f9f2a0a68aedbc6d58", "3b01a839d174dad6f2635cff7ebe7e1aaad701a4", "cc246025ec8e1d32ecfbeefaba0727fdf73cd9cb", "d467035d83fb4e86c4a47b2ca87894388deb8c44", "264a2b946fae4af23c646cc08fc56947b5be82cf", "04bd29ec1ae0b64367ec37ddde51a0d8f8b7f670", "480888bad59b314236f2d947ebf308ae146c98e4", "802f6a704b93291aa049e80c16af7d2bce7dd92c", "a1ee55d529e04a80f4eae3b30d0961a985a64fa4", "3e9219fdcbc17772041456cf8dbfd361a82cbdd4", "867f1a262a704ef4cabe84899310370182dd598f", "0cd736baf31dceea1cc39ac72e00b65587f5fb9e", "f727837e03a039d9bcec6d02cd87256f5a5854a4", "df90c50792971b4debfe8d1db5604337bf9181e3", "4fb569af589d89f11d84d4b828459231345cc301", "9fd864442f18a8b739efa0534998b2afdd6f08e8", "b8452417df1047ebace6fb1368b4b91be79b8cc6", "a2db611b6179f3bc4cfe0e891df7b9d4ab58d642", "a8c6954ae821f846cedc50a86e2095a20ef454c8", "8e0091f7360b7c1cf07dbd88ca13bc83a5b6a6d7", "6634318fa67bb8866d2579760c7b5763d0ee46a3", "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "87ab2e74e2ab93de0316f09d76e7573052628989", "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "6424574cb92b316928c37232869bfadcb5b4c20f", "51eba481dac6b229a7490f650dff7b17ce05df73", "0c05f60998628884a9ac60116453f1a91bcd9dda", "d12c343e60f9cc1a0c6c94c138f38e6bffe22001", "c3d60c8b1dff411982ccd8875496f1e74d2cefc4", "f825f784733c764128ddd1c620b0b0884941e2b6", "efa2aacb0fbee857015fad1dba72767f56be6f39", "fdc39dbf35b1cac8d99434140b8e5341d3f1e38b", "f1dd778af01de993ba47858cdb6305c64f91288a", "17113b0f647ce05b2e50d1d40c856370f94da7de", "8031b81338c05d5fe4e2e5f8820d185b32734fb6", "e2cfd82831bde290f6016a3e9a576e8a79a2cac5", "1193317829bfcc9b9dffa5ae85a2e2114254b37e", "c1e714a9ec329629798a88ebff8657c349fec739", "62d1b32d67e4a4b58a66cba91629aae5f7968962", "549d55a06c5402696e063ce36b411f341a64f8a9", "5663d02a09dc2f53b826849ac96f235c82586af2", "558719ec858120908ef40b27a5d32904a68f6dd9", "44bfa5311f0921664e9036f63cadd71049a35f35", "133f1f2679892d408420d8092283539010723359", "98d04187f091f402a90a6a9a2108393ca5f91563", "d03ae9148a2573bcf959c7fa343cef0be416cb55", "b0d52bb1c9cff9416fe766e9cba94ceeab12d51f", "0fbf59328d32e1a9950dfa08c3ec87eb94398651", "af740db182b541eef80bb0a2dfebd1f07bb0e316", "7128f1239cbd1007ef19d8fd8cdab083d33a6984", "9b4e90866c1f096a57383fb7320ac9d516a2f88d", "a3bb0ec5c4380141828b9619ad92c6ecd42a09be", "6feb0d42232c31eecee5d90290287afe803e88a5", "ea638559b6dd6b5520f9abe2674b92c07873a157", "e92855e7f939c0b43bb4e14e932b6ed4e9312259", "300b8caf79783a7eba5608b5819b6fed14273d2d", "f8015e31d1421f6aee5e17fc3907070b8e0a5e59", "ab26528c5c414156c7668592cbb04268d2aefc52", "6b9e8acef979c13fa9ecc8fe9b635b312fedbcbe", "27d9d09126c1f2138f6aa719c4937da0bf8a8b87", "747b15ecd9a9e28bbd733527c59e5dd0aa5de7a1", "6e4a1850bcb2b76d8e08ecf1d80d15722aaf6fe8", "f7091323c825553e1c5bae6969516fd3bf9c0617", "72fd97d21d6465d4bb407b6f8f3accd4419a2fb4", "899ff288be86ac85133c73cdca3ea20639934e6d", "62b83bf64f200ebb9fa16dfb7108b85e390b2207", "384b21d51dd466517f5ced3a59b997ddea10aa42", "d4700db5a8290ad8e501c2d6d93432dcb833092e", "2577211aeaaa1f2245ddc379564813bee3d46c06", "d805574910996579177625fb1dacacab17f70cd7", "15ea40bb1025212c231fd12a6d7edebb260b805f", "d73221adda13a99e8dd8dab101abcfeae6b7b706", "035c606bc6a05e2018e57859737877043673b7b9", "3900fb44902396f94fb070be41199b4beecc9081", "06a23ffbd9752ce204197df59812b2ebd1a097ff", "e7b5c98310a04923c2c75b38d0b6ab97d2a15178", "32c45df9e11e6751bcea1b928f398f6c134d22c6", "2a1b247b31d0b4baa5438ac502615152426165f7", "56e65fae871aca5f7977ed0c33f153efe67707d8", "a62d352db6efa30b66bff378b0c27792ed37d8fa", "1abf6491d1b0f6e8af137869a01843931996a562", "2bcd59835528c583bb5b310522a5ba6e99c58b15", "be313072e9706df300d86bfac54079acfb9c1ef0", "3920a205990abc7883c70cc96a0410a2d056c2a8", "2725a68be6bc677bd435c19664569ecd45c52d7a", "b6810adcfd507b2e019ebc8afe4f44f953faf946", "1f98daf89f9a3dba655f0a4eb4164118ea6226ef", "683874b070da69ce358ed5dd673ebe3e42fc2137", "0e08cf0b19f0600dadce0f6694420d643ea9828b", "81bf7a4b8b3c21d42cb82f946f762c94031e11b8", "8096d92af2b3fdf6c43769d5aca9082a7958a07d", "2da694d7f494265a8193f17dfc492c577ad4db1e", "f18c34458460b9b62b51213b9165b37c057c5837", "991673d4f9dd08893723549ff3ea866b2dc18047", "30d8fbb9345cdf1096635af7d39a9b04af9b72f9", "71d8fae870ea78a89e231247afb3259267e09799", "8a83c15c7e4bdbb7924ac521d7f260d24ded442a", "a6574d111bfb12d6a9988bdbbf24639d3c4534ec", "ffc8f9fe66a14aa0657e59e219364b5a852ecb8f", "f56edb6f2bf4f5bc9d54284289212b8d4a437c1b", "87204e4e1a96b8f59cb91828199dacd192292231", "07e8420c5528e8d0152424a124ddb92380e32329", "e903fc4e9636d5e5635b6970b2520b920e919a68", "30a4637cbc461838c151073b265fb08e00492ff4", "606cfdcc43203351dbb944a3bb3719695e557e37", "0b1c1c32b7ab78106590bf76fd4261aa6ce25599", "996dc200dd686c39e235aec78f7c6acd903a970f", "3de3c479164312ab3a1795ee84f20c16632c04c4", "b14b672e09b5b2d984295dfafb05604492bfaec5", "30ccfd2b4b6d5b30581356ccefcf96fd77c1766a", "e108d0bfe686438e4c5ae4cb9b8ddc476deba9e3", "47b6cd69c0746688f6e17b37d73fa12422826dbc", "bd36544bfecd5b9ea58d0eab186968b3c9d181aa", "67490b6f34c827f107b046adeef0f5476132d4f8", "be668bb10ab47b7b09590ad4c310e13ad70e84f9", "319955a10dcddd6e97d160132141feee54de358b", "14421119527aa5882e1552a651fbd2d73bc94637", "3410a1489d04ec6fcfbb3d76d39055117931ccf0", "69b647afe6526256a93033eac14ce470204e7bae", "81825711c2aaa1b9d3ead1a300e71c4353a41382", "2788dd3b087351ceb891f7497d64b438e8e5f808", "2ce073da76e6ed87eda2da08da0e00f4f060f1a6", "e286f4fb60fd819dd36db44d0f56dc76932aaee4", "a0107238471816ac3b8fec32bb8499c082338593", "c4b6bff9c8d00944ed2cbbfec8c37810a9f47b76", "2313c827d3cb9a291b6a00d015c29580862bbdcc", "839a2155995acc0a053a326e283be12068b35cb8", "f10727c4827118a147f1301d2fd5e206aedfeae7", "a65c76169bdb8479353806556f61bf94fdec7e10", "4599b9d9a379385a3d31681696d2523beeb0e9c1", "106732a010b1baf13c61d0994552aee8336f8c85", "5056186a5001921d0a24587e26167a7ee9d88cf9", "634e02d6107529d672cbbdf5b97990966e289829", "28e9ae07540e3709e7a3a6242f636f893ba557e6", "2084902f20c3c3dd58ca063a2ec0d63e715e660c", "96e5e6ebebc0afab75983d444402893d1a467a16", "d0137881f6c791997337b9cc7f1efbd61977270d", "bb8218a0fa421320421549ec13969834636e4d47", "ed173a39f4cd980eef319116b6ba39cec1b37c42", "84cf838be40e2ab05732fbefbb93ccb2afb0cb48", "b082f440ee91e2751701401919584203b37e1e1a", "801593e5de666e4d93d0a40e8b563907191c7ff8", "6008213e4270e88cb414459de759c961469b92dd", "0fd7e70003c366cb93be06b5a3f250f798b939f3", "f2b95f135b95c3df4f6ebe6015098a2e1667711d", "250c0c37947d6dc32e1923c8df99bf64dc5d7e10", "28f9cf85ebbff86207e1f6067880bb23daff0878", "7f15f56d7c0a17d9c81ca21029e7fd133b2b9347", "0c17d8370ad804635591a258e6ea1ae802fb5902", "90b4470032f2796a347a0080bcd833c2db0e8bf0", "a6d2e304b2270b679855b87cd467ad572c9d2974", "0adaaeaa04e8d1901c886bced6ee4a0fbbf9fb4c", "beecaf2d6e9d102b6b2459ea38e15179a4b55ffd", "7cda4fc187f446a52cc5c9ac0e6a0752c1f0d5e9", "0fb8317a8bf5feaf297af8e9b94c50c5ed0e8277", "75777920d6b05794639c0029052f20f932aec9f3", "623092852405f452994b7067b963cd918b909566", "17d22b7289d1bd22f6ccbe33ff50ed1ca270a690", "896de2bc83ef4a2ffee582a91898ea29617222a5", "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "d4901683e2c2552fc2d62d4eb3b1f5d5fa60a5ff", "943c372336ced4b28e15e02fe8db1f4b23bf6835", "0e0179eb4b43016691f0f1473a08089dda21f8f0", "135c957f6a80f250507c7707479e584c288f430f", "d4ca67160781e5c74b0385c3d45f35dcc0f79b8a", "a7e8ce268c16ea8c10e4c5ccd8d6e53702423faa", "c588c89a72f89eed29d42f34bfa5d4cffa530732", "c72b063e23b8b45b57a42ebc2f9714297c539a6f", "21ff1d20dd7b3e6b1ea02036c0176d200ec5626d", "339b6e6b358b40db5807ae9701556fed9b7961c4", "3c68763caa67dee55bca76f0f71dd4530f3fd57c", "78a144d5dce1a61c92420e77c11116f541a7617f", "20c59a55795eaa4f2629cc83fb556dc8c5bcfc1f", "774f67303ea4a3a94874f08cf9a9dacc69b40782", "061ffd3967540424ac4e4066f4a605d8318bab90", "a49b309ba14ad00a3bcb7b99a45d5bcf9bbc0ab1", "8ac2736683dac9a467602ee19f5a290096259148", "86e1bdbfd13b9ed137e4c4b8b459a3980eb257f6", "43b7bdfcbf061a51a5c4cf55172ffd1191ea9665", "93c14fa9778fc98fe1e078131179d3402c7d1d0c", "1a2e9a56e5f71bf95a2f68b6e67e2aaa1c6bf91e", "8fd1910454feb9a28741992b87a271381edd1af8", "c6f58adf4a5ee8499cbc9b9bc1e6f1c39f1f8eae", "016473c5b809ff55304a2923c36eaf58f02f02e4", "fff12919cf912347776b70aa76af7635280dc401", "3c8db2ca155ce4e15ec8a2c4c4b979de654fb296", "8ccd6aaf1ee4b66c13fffbf560e3920f9bdf5f10", "559b95b135a842f8946f62067de7e0c523870d2a", "802ecaabffbece0dc2c31d44b693967c683fc5ff", "b5c94166b3ceb7166e89abe1e951556690b87310", "3f06d445371c252d5a6ba977181987094148d6de", "b4f5cf797a1c857f32e5740d53d9990bc925af2b", "159b52158512481df7684c341401efbdbc5d8f02", "333aa36e80f1a7fa29cf069d81d4d2e12679bc67", "3bad18554678ab46bbbf9de41d36423bc8083c83", "08f46d6a91e513edd57a0ef15d5367b5d0545c1b", "db58b4a053c2bb1f7681fd479e8dcdbff42cc6cd", "07191c2047b5b643dd72a0583c1d537ba59f977a", "ae6e8851dfd9c97e37e1cbd61b21cc54d5e2b9c7", "9d2ad0b408bddc9c5a713e250b52aa48f1786a46", "df33c32673a050ad9fd84d55efb48214e1a9358e", "5375a3344017d9502ebb4170325435de3da1fa16", "769f0c9975236e46151ffec1724c23508c38f6c3", "6d973fb5f682c491be94aa40a184a1707a8dc24a", "cd3b9597c7f182e31b9943bc67a1a918ff0012aa", "ea5a020e64107c75f2f723967af5ad3b97fb2ec3", "63b89e654124eb2b8edeeb82c6373bdcf228744e", "79828e6e9f137a583082b8b5a9dfce0c301989b8", "41308edf82ae645923efea2d6979d076b975ee25", "fdfd57d4721174eba288e501c0c120ad076cdca8", "2771e262e54948ad2c35a80caabc7af181521d39", "4f7e4b1b74955b54c434bdf76c47fb1e96db74e0", "ec83c63e28ae2a658bc76a6750e078c3a54b9760", "b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b", "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "668d2afb63f27feba389ab9d16e682ea13934337", "0b92f5734ffd7d9ff1dd0f3639e92ed18fda7824", "676600ed722d4739d669715c16a1ed2fc117b3d4", "a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000", "5990c2e78394388e8a81a4b52baf35c13b22d2c9", "b66a93884f80a243f50da97e33211693a317dc45", "9528e2e8c20517ab916f803c0371abb4f0ed488b", "0a59337568cbf74e7371fb543f7ca34bbc2153ac", "06774cc8b0ab364866beaf3efda1b2d012a7bcf9", "c60746fb99a02536c2aa3dc866a260ca97ae59f8", "e2272f50ffa33b8e41509e4b795ad5a4eb27bb46", "e5604c3f61eb7e8b80bf423f7828d8c1fa0f1d32", "b8d61dc56a4112e0317c6a7323417ee649476148", "006a9f68bcf6edca62d8750af55168971cf0890c", "5740a5f9cbfe790afc0ba9a425cfb71197927470", "28af8e1a3cb3a158f8a642c8493fcfb207743d0a", "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "6c803cd67f2ceeb11882b322abd386ac8a61ce25", "f1f3ecbcd46fb5ac2731ca118b61a4e3c9a429ea", "cf2a313b039b8adfee2a14ca5e81f2f5da52b0f2", "efe88ca3b72085ed90f8ebcd6c30f9397316ead6", "e4ada3966980ac76b0173ff9a0c407759647f2fa", "b47204251cdf97e1e78d0de99732e3d78288ea2d", "db0a4af734dab1854c2e8dfe499fe0e353226e45", "003afe78ec7989371f648fd8957a6ce79083cf11", "ffe0f43206169deef3a2bf64cec90fe35bb1a8e5", "8f9fa03690428cde478f1a27d4773f78d857b88f", "93ed1c9274906f1916d58cd618a9a82858448a3f", "05a22ebec697cfa5e8e2883d68e6f4762bbdebd7", "66660f5e8b2a4a695abe0f9e1df32d230126f773", "ba7892fc2f7bb5851cff243257da0da0f2d5bc05", "479eb6579194d4d944671dfe5e90b122ca4b58fd", "2a86bcdfb1d817ddb76ba202319f8267a36c0f62", "1ef46f7bb7463ead4369a796435106da63578733", "0bc82ec532228427a497ac47391d524e3b4537ae", "cb45511e4089fb8aff17b0adb6a3f386046a0a6e", "d289ce63055c10937e5715e940a4bb9d0af7a8c5", "fce5bc434a909d6d480fda7cb04cac3d278f8eeb", "cba3fda21e073df8e97920ebefa63712b9796c89", "b4f517f2f229a5f9d8b64bf7572c515c6ed414bd", "2892ca4979521e2d2aab24e33ac571e16ff030c4", "2b4b0795358d0264f846e8b3c19ec3180da301cc", "65edab091e437d3b9d093dcb8be7c5dc4ce0fe0f", "eb71c9267cbf93823b06b379f0041fd5d63703fe", "276d35fef150f61adf53270eb6e50625022d4e7f", "16d658ed2ff10ff4c729479962c5989116adece1", "061bba574c7c2ef0ba9de91afc4fcab70feddd4f", "8262facae51097b3004f492d6de456286a2a58a2", "407a26fff7fac195b74de9fcb556005e8785a4e9", "c4d3033356066ef8133f03f4060bb8cad842918f", "c798f01248311387efb1d9dc67c737d61950145b", "227a312324edd41892eb2c1dbc4bf8d94984a326", "aeee98c90799cd44dde4046754cff27c8ed28d44", "53f0d493c64c908c479f28b4b0cc38aa2124697d", "ee2217f9d22d6a18aaf97f05768035c38305d1fa", "ff3354d042fc3f9f7cfec5e6bc0dc91a8b55818f", "dae70eb5e393c0f05fa7b75d5ad48070743f622f", "da44881db32c132eb9cdef524618e3c8ed340b47", "76808ece9a138a8df2a28962bf1563208dbde6a3", "050a149051a5d268fcc5539e8b654c2240070c82", "09222c50d8ffcc74bbb7462400bd021772850bba", "add020816e4eea7ec547d0c3233b15abf3413fd2", "d6d6edce271935feec96484d0e1f16dcc24973fd", "cc94b423c298003f0f164e63e63177d443291a77", "035ef7b25991b0f7ea841a2270ed053198aab09e", "be213d0e9e7c41c0783f3efa2fddb07d0efebcb4", "83a811fd947415df2413d15386dbc558f07595cb", "35035f79256a3f19a111fff34df6d14876d83fab", "675b2caee111cb6aa7404b4d6aa371314bf0e647", "b336f946d34cb427452517f503ada4bbe0181d3c", "765b2cb322646c52e20417c3b44b81f89860ff71", "a51d5c2f8db48a42446cc4f1718c75ac9303cb7a", "3a5f5aca6138abcf22ede1af5572e01eb0f761d1", "ce300b006f42c1b64ca0e53d1cf28d11a98ece8f", "065b4890957866a831ccf35694056dcec6f48acc", "2e32b8a7f86a0e9b3d185411c166cfe0c067a0eb", "71b038958df0b7855fc7b8b8e7dcde8537a7c1ad", "3aec4bf3cee81e9574879bb04e5da7f8b310671b", "062d173e11c19595909f598ccda04998b2bcfa27", "469e0e79c936130b3727d598fac46913c75489f6", "c5f1a1e7e9d7dc2f795e86fd4fb780da09ff0e45", "460845e06ca99f292fa2265beb4e535d20ba16f8", "84c08d24012f5af14589c371d34b146202850c96", "21d7c74ed8a1c777debe96937c08b162ee01eac6", "af7cab9b4a2a2a565a3efe0a226c517f47289077", "a89ad89748ed86ae916f0b0143ab61f01e637205", "3a6ebdfb6375093885e846153a48139ef1ecfae6", "a7e9d230bc44dfbe56757f3025d5b4caa49032f3", "ca548fe8e5db29b876115d31544b68add98ae6a8", "787303db8e707feee2fa2b93dfc46e3d3cc244cd", "06de3eab314437cc3ed08c3db5171a79c1f684c6", "7d3dd33950f4a1be56eb88c0791263b3e3a6deee", "fbf20dc3367864462d7630aad81c436e50d1cd60", "07de8371ad4901356145722aa29abaeafd0986b9", "cd61c4253eafb8ae5d6131f4ab55bdcbf1586e40", "cbdaf66888797ccbbbae7e47b1880246a643ec70", "af386bb1b5e8c9f65b3ae836198a93aa860d6331", "d6b1b0e60e1764982ef95d4ade8fcaa10bfb156a", "37b3637dab65b91a5c91bb6a583e69c448823cc1", "83d16fb8f53156c9e2b28d75abb6532af515440f", "25d7067e0120c6eb863f03a420e644ebbcf2ceed", "05e45f61dc7577c50114a382abc6e952ae24cdac", "6845cc4e9ceb13e8204cfe8ec818c91b0cc21f52", "192235f5a9e4c9d6a28ec0d333e36f294b32f764", "95029b1041a169e5b4e1ad79f60bfedb7a6844d0", "aa23d33983b1abd2d8a677040eb875e93c478a7f", "0728f788107122d76dfafa4fb0c45c20dcf523ca", "f809f9e5a03817d238718723a7b4ac04abcd3f12", "e443cb55dcc54de848e9f0c11a6194568a875011", "bd4f2e7a196c0d6033a49390ee8836f4f551b7c8", "6775c818b26263c885b0ce85c224dfd942c9652e", "2070296caed1f915d05f7977181698104e2f14f9", "7b1be02cbbef951875813ad55d3016ec2aee17f6", "7335de73c5607015779085dd990022efd67faf2c", "42f512d36722b09d1c83d328051badd374769fed", "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "6900bb437679dd0b0c5cea0acdaa9429d0127d38", "be48780eb72d9624a16dd211d6309227c79efd43", "3d5575e9ba02128d94c20330f4525fc816411ec2", "78f62042bfb3bb49ba10e142d118a9bb058b2a19", "0690ba31424310a90028533218d0afd25a829c8d", "0c7aac75ccd17d696cff2e1ce95db0493f5c18a2", "6c78add400f749c897dc3eb93996eda1c796e91c", "b61c0b11b1c25958d202b4f7ca772e1d95ee1037", "970e571305ed9dde9308e559694044e204d6e2ad", "79894ddf290d3c7a768d634eceb7888564b5cf19", "0deca454f2bc1be9421653f4f3f6ed9e38846628", "fec2a5a06a3aab5efe923a78d208ec747d5e4894", "155ce5d596c7b525110ca24db11e47d521b487ce", "5ac63895a7d3371a739d066bb1631fc178d8276a", "4e559f23bcf502c752f2938ad7f0182047b8d1e4", "7536b6a9f3cb4ae810e2ef6d0219134b4e546dd0", "11b89011298e193d9e6a1d99302221c1d8645bda", "de3245c795bc50ebdb5d929c8da664341238264a", "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "78598c69201cccfc060d47fc0415f2f9365035fc", "9c71e6f4e27b3a6f0f872ec683b0f6dfe0966c05", "14725e03c93088c071f51c68137b5b8fcfe2129e", "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "aaa82dfc7942ae16c1d7155a109582505ccee4ec", "b1abe5b8eb9a153ab1013243e2180777ec2fdb56", "1e4474f86bbf4bc78336c2f0040f6cf995d07edd", "0cfcc1cd8bae5f5899cef0995debd7b38c46e817", "f25295b1ed1e8dbcf6bfe17db294d0ab32802633", "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "189b73b11634e4ce5268006ba74646cb0b4fa754", "c636cd6eba286357fe807c0ca4b02c3b9b7b5619", "b6a3802075d460093977f8566c451f950edf7a47", "2e7874ec37df91db1934d61d9e1181de5e4efb36", "122f8f315feaf90ae78c4061846a42f0ac514c1c", "ca1b0b87d1a21332bb8e9458e5acca4e596f7c83", "618c13f1e13cc5346ed5c069a77acaa720b6a1a8", "4d507e9e9e2f8834cf56eb675f5c5e5477cd15b2", "cd6cab9357f333ad9966abc76f830c190a1b7911", "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "0fe8b5503681128da84a8454a4cc94470adc09ea", "8d01119f663d667edb8cbc360340a4ee1a20043b", "3c6b46b7867a387ef46cfa7eeb3f0cfda47af2d8", "9bbc952adb3e3c6091d45d800e806d3373a52bac", "6e209d7d33c0be8afae863f4e4e9c3e86826711f", "bba22e04fbe124bf58330e5d911d873a80afa0eb", "912f6a6ac8703e095d21e2049da4871cc6d4d23b", "70671018d4597b6d2d0c99b38b1f1a3f1271eaec", "0079d56c8e183ef36f876b84327b97ee9454825b", "46d85e1dc7057bef62647bd9241601e9896a1b02", "f840e727e55e9ab1d4f069ecc38da78cd2ebd23b", "67e3fac91c699c085d47774990572d8ccdc36f15", "3d21d0923d9f7dc3836f2790dd8e1db98e0c2013", "5710ddc7254500901111394e968cfc41b4fadbe1", "5ad99fe589826adf9f2a95c5b3fb6e86f3d276fc", "a4f29217d2120ed1490aea7e1c5b78c3b76e972f", "c85aa12331bdeaba06d4c3e44b969e6060c3310c", "f2d07a77711a8d74bbfa48a0436dae18a698b05a", "d76f68c2d0a45ab224065d57836bf3da360c82f2", "09fbcd901db726caec1f3bcbda5266ca72c7deb6", "56e95fa26fb417776824e5adf6d6d511e5b30110", "5b705232a9ab0a91030abf0aef2464a74c9eeb0f", "a6e695ddd07aad719001c0fc1129328452385949", "ff11cb09e409996020a2dc3a8afc3b535e6b2482", "7b8bc2ff998c8ad5fd0464da8da3b42c32d51750", "770e5117d02ece2ae62d734089fc6147f9a90be8", "7c98c27f4be40a7675ba9c85179ce72d12593a7a", "fb1732a1476798c42a0123aaf127036bf8daef09", "e103fa24d7fa297cd206b22b3bf670bfda6c65c4", "9a781a01b5a9c210dd2d27db8b73b7d62bc64837", "b68875e99baa9118a6df314e947d6fbfa78e29d6", "ac559888f996923c06b1cf90db6b57b12e582289", "c05733052172753c8736e07fa8004dbaacfb623d", "2a4fc35acaf09517e9c63821cadd428a84832416", "f60437dc3d8687930d82988713fe16184117ef27", "cd4850de71e4e858be5f5e6ef7f48d5bf7decea6", "2ff945f495ac137b4e0cc7e9e1d516c555607822", "c5decf0a3906c85b6540e96c9c7003957c6d395b", "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "790bce6cbe30ef9bc4431c988d0d747da1c6bb1d", "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "1a11c2e4e74c0876c6259b8148575a0665e1a7cc", "34b925a111ba29f73f5c0d1b363f357958d563c1", "c76b611a986a2e09df22603d93b2d9125aaff369", "4b7ce0fc27cd84c2b44f16c16b1c5c6b612c6881", "9d0ac8e084fd6ac32528aa480f71fab4b4f5d3a1", "d7f3836f2d28adf15fc809bd4f90afb1f61ba8e0", "70b0538af40672e3be4b72f97cec486693d5204f", "7cb4ab1bfff61bf0d1ebec6c4402b7e45e62c609", "738947f9b0bc50d1b7d5cbe84856bc18fcaee386", "0f366de3ea595932dad06389f6e61fe0dd8cbe74", "1927d01b6b9acf865401b544e25b62a7ddbac5fa", "4cc98d819de01db8e0eedfac1022e6bd0b1bed03", "1ecd20f7fc34344e396825d27bc5a9871ab0d0c2", "6a60c3994e4701b2d6ddd40609f6f0bb03fc9605", "038b5a38510f5b2064a0b24c94e59ee2b7c49815", "5ef49174ca2b54c1bb54df828acc52075cf1634b", "26aa0aff1ea1baf848a521363cc455044690e090", "260d8f563e581e4151501375fbf58425f401b1a1", "3548cb9ee54bd4c8b3421f1edd393da9038da293", "25ee08db14dca641d085584909b551042618b8bf", "d0f81c31e11af1783644704321903a3d2bd83fd6", "88fb26bfcd7a52b3f6a5e9e6cf0ea04628d1049a", "155219f3e6dcf5d5f44815a7493b6b7cc8e02263", "a996f22a2d0c685f7e4972df9f45e99efc3cbb76", "4da5f0c1d07725a06c6b4a2646e31ea3a5f14435", "40dd2b9aace337467c6e1e269d0cb813442313d7", "0f1cd6eda6c6d09af59f0590a711f299b39fe948", "26c58e24687ccbe9737e41837aab74e4a499d259", "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "299b65d5d3914dad9aae2f936165dcebcf78db88", "2a218c17944d72bfdc7f078f0337cab67536e501", "9c49e4ba8ad0ba4634fe9306fb612695ed2b8cae", "cb5dcd048b0eaa78a887a014be26a8a7b1325d36", "ea572991a75acfc8a8791955f670d2c48db49023", "17444ea2d3399870939fb9afea78157d5135ec4a", "c5f02a3aadcaaf0dfb11788cdfba037fbcab5929", "63660c50e2669a5115c2379e622549d8ed79be00", "5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1", "f6e58f54b82e19ccf7c397cf8200ebf5160eb73c", "3b6bbb187c09f6e64fd5bf2d528ca8bd3363d115", "3f70938c1ea282a2f2efd4609223d04a8f1e1288", "46994b489f7c673d031f6ef644e84ebe5d843d93", "472541ccd941b9b4c52e1f088cc1152de9b3430f", "adb6fbff14b660aa6547edbef27c01ff427eba33", "31b2b1dedaa171bae9a10dbf291e445f1c3e38c7", "049ad2deb4ce7d1f98057694406879816c4ac049", "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "9184b0c04013bfdfd82f4f271b5f017396c2f085", "1a5151b4205ab27b1c76f98964debbfc11b124d5", "8d07e8bb63d489e6b60b187b679670cef24f9bee", "a05dff6fa9b4829306b1cd311163e587c8cb1ca2", "fdb6599cb273a88ff38a987b19ec2ec4b7efb2ff", "766a3939b9c1f785cb2c1dc60719c9290e606042", "b9b7b37d7edf4482a6f440e282c3418ab1913afa", "57488aa24092fa7118aa5374c90b282a32473cf9", "1cb68fa98a0d9871a394cd0035488df167b9c2cf", "7771807cd05f78a4591f2d0b094ddd3e0bd5339a", "8a9a3cfe8dff0d0792db3173a4aa0e354a17cddb", "7f4292745f5169655f831ffa017aab9acd7a994c", "4558338873556d01fd290de6ddc55721c633a1ad", "8339ac6062a7a17c604b1517c16d18e2cd365132", "85957b49896246bb416c0a182e52b355a8fa40b4", "a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f", "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "67c30688bd46d305c610a83a0b28e86e10ef5cc4", "9547a02bdfe44c39ab3537142cba44fc52b8e834", "de10f93b0a3656822aa7c0b5d62074ff5eac60b2", "136954b17d0931cc5aa93aa80ed91b5e7b402fcb", "5d425633681755fb9235023aefc78e712fb7efc8", "b5e3beb791cc17cdaf131d5cca6ceb796226d832", "2a40917ef436000b22bc7c6f35400440ef673d36", "532c089b43983935e1001c5e35aa35440263beaf", "35fc0b28d0d674b28dd625d170bc641a36b17318", "be9dde86ebd10ecb05808e034e3cadd210fe0bfb", "e4cb27d2a3e1153cb517d97d61de48ff0483c988", "8d203fba8a43e58703618cac3b5147c92f5919d7", "132fb6cfb40a82001bef31b030d0e740ebb69c26", "a67da2dd79c01e8cc4029ecc5a05b97967403862", "4ab69672e1116427d685bf7c1edb5b1fd0573b5e", "989c7cdafa9b90ab2ea0a9d8fa60634cc698f174", "85af6c005df806b57b306a732dcb98e096d15bfb", "58a6eb3584b2f5df2f25d39a218904d510cae516", "cdb293381ff396d6e9c0f5e9578d411e759347fd", "7b73276eca7d2413a219961685f6fe6870c42ff8", "6fe149e588a5bf15bf89edfedb1a29cc31384ddc", "0e67717484684d90ae9d4e1bb9cdceb74b194910", "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "07c80339af2dc54c94c03c01db71a3d7d2bb9ea8", "a2bfab80a4b48717aa647cb38069632c5962c6a6", "e7dd1ad267f5b9483400bf03e101de7f9cca1e39", "4dc6659b5022ecc2c4e1459e9dff16ddece4147e", "7ee53d931668fbed1021839db4210a06e4f33190", "51424fddff93b26381e5bf63b3003d610283955f", "47203943c86e4d9355ffd99cd3d75f37211fd805", "45ff38add61df32a027048624f58952a67a7c5f5", "9ee4d3c173c41ffb6f5aa3c40951aefe3da11d5b", "0a789733ccb300d0dd9df6174faaa7e8c64e0409", "9595a267de2b0ecf7e4e2962a606c8854551e203", "9d3a6e459e0cecda20a8afd69d182877ff0224cf", "f5083b4e28e42a2da7bafd2a742ab8e21c12559f", "42e0d7fe2039b075ac2372d883fa994eb0a68b48", "5df11c59e3b47189486445f5833675bf08359bfe", "e8d57223a3b88c58131a6642579e66f4739edfb7", "c908bd540a02af5e1cf2d556ed2a24fa7bdf2a67", "943a1e218b917172199e524944006aa349f58968", "72b6e589217e54879982e1f559197a9408e03b34", "35c3dead77e705132762006e588984ef36ee3604", "2f886f948724595e1940aab6b9869b6144d42982", "725bc4fd72070b58fb7e6819a1087e6cce16550c", "5f68e2131d9275d56092e9fca05bcfc65abea0d8", "f989a20fbcc2d576c0c4514a0e5085c741580778", "cf94200a476dc15d6da95db809349db4cfd8e92c", "3e0415f0e8c36f20042d6a1f8b7c216fb5543c3a", "9a0331bac634f67c2a993c36da95481fe53709bf", "fdee0cf79e9a2695857afeee6526352918c9f315", "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "53197621c4f41ab4e35f3bb27224c6fde0938a60", "25dba68e4db0ce361032126b91f734f9252cae7c", "883767948f535ea2bf8a0c03047ca9064e1b078f", "229bce6384ae16a388881e766bfa5a672b61dc9b", "568727a76dc1242e3d48392f9c19678a27c63482", "d1580e818932ba23b38784b48d3e472ec91cd746", "6768b558cc58e113096540c123ef3b2c2d2469a1", "357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd", "559295770dc2e2e3a1348df31ac5c3f3e66f1764", "18095a530b532a70f3b615fef2f59e6fdacb2d84", "adfaf01773c8af859faa5a9f40fb3aa9770a8aa7", "9397e7acd062245d37350f5c05faf56e9cfae0d6", "03a24d15533dae78de78fd9d5f6c9050fb97f186", "17d4fd92352baf6f0039ec64d43ca572c8252384", "86d827a84e9f9bbd27e87c5b2199c79e34427369", "30a29f6c407749e97bc7c2db5674a62773af9d27", "280d632ef3234c5ab06018c6eaccead75bc173b3", "cf98c333c8d7d5870c1ce5538bb0c3de3de16657", "3eaa860f2735fce8b839237397455c13dfad1ed1", "0f945f796a9343b51a3dc69941c0fa1a98c0f448", "0db6a58927a671c01089c53248b0e1c36bdc3231", "63111778d25b1105fec5e09bedf9122eafe34fd1", "5979acf247d8af73b41da0eab6d8a7eda1036c9a", "08bdb84d5c66265b3b6d33e8f95c4cc27caf33ad", "14d0afea52c4e9b7a488f6398e4a92bd4f4b93c7", "16b5890dd6ec399a235d4ba13484fbdd4e4f5cd4", "8da1b0834688edb311a803532e33939e9ecf8292", "f42d3225afd9e463ddb7a355f64b54af8bd14227", "3e63af98d0da4e267411de8743e68f65b00e85a1", "dc6c47d15ffc0fd59e51ed03556c3566afe5710b", "f13552e2e2843716e7a1c7c2492cfcc6e86aa03c", "da9080d5b433f73444078ac79c3a8a4515ad958e", "e963ac953e084f6223a5d8379a52631508426ed7", "a1dd88f44d045b360569a9a8721f728afbd951c3", "322c063e97cd26f75191ae908f09a41c534eba90", "28b039cb4b00cc4deaf791b5e923d58637714f49", "0534b58649818607a8ad31e6a63e4b1d37be16a5", "0c36c988acc9ec239953ff1b3931799af388ef70", "08f00e5adaba03628144dbc97daefa8ceb6e5322", "fc027fccb19512a439fc17181c34ee1c3aad51b5", "426840ccf74bbd8b087cf357efdb80ecc85ea2ab", "24b31c4d044fc8a625a229fd8296b71836d4a422", "165c27a4bfb56562c807279bef9d15f1bced5ca0", "ba051292ca6e8c689542831479e436be7035c147", "377f2b65e6a9300448bdccf678cde59449ecd337", "a3a7b48f707b87198d93f3fc7cd6dd1bd753fcc3", "7a82e4a2787b404b4c9c9238fa626319e85a528d", "c0f17f99c44807762f2a386ac6579c364330e082", "8c00fe016755483f63c96b5530d259bf815c9d29", "c48bde5b9ff17b708ab3e4f7c62a31a46c77f2f1", "19441b8be551e8134dd9eb33238309bc2de0a42f", "7854876ab5d87248ace94615731ed3e3e56af769", "451eed7fd8ae281d1cc76ca8cdecbaf47816e55a", "992b93ab9d016640551a8cebcaf4757288154f32", "7489990ea3d6ab4c1c86c9ed9f049399961dfaef", "886caeee31c23134adafd0b191e911650de85a24", "228b899a16400c4e23ac1a7eb6de3e69797bbcf7", "41199678ad9370ff8ca7e9e3c2617b62a297fac3", "424e918134ed7c70fa73450bd6af1bd982071a27", "c5e039f2565def55ad7587c443868e815bc3ff7d", "e7713751e08a6e837a4b9bcd766b021ee5c15502", "923e9b437a55853120f1778f55fcd956d81260f8", "7fb74f5abab4830e3cdaf477230e5571d9e3ca57", "10793d1475607929fedc6d9a677911ad16843e58", "c94fd258a8f1e8f4033a7fe491f1372dcf7d3cd6", "add80957faa3cc64f293f239c01752dcf022ebe7", "d850aff9d10a01ad5f1d8a1b489fbb3998d0d80e", "c27c2fe9642fb82a3dfc314ce6003fe7a88eb1ec", "2581a12189eb1a0b5b27a7fd1c2cbe44c88fcc20", "96416b1b44fb05302c6e9a8ab1b74d9204995e73", "aa2ddae22760249729ac2c2c4e24c8b665bcd40e", "60542b1a857024c79db8b5b03db6e79f74ec8f9f", "bd8a85acaa45d4068fca584e8d9e3bd3bb4eea4d", "456abee9c8d31f004b2f0a3b47222043e20f5042", "7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb", "6bbcec054017a6fd64af8bf325cb6e3e7244ba55", "b99588bd0393a60a0c627970ab6cab7338d08ca6", "57558bfe896ca98777f6345a07e65752585496cb", "d78b190f98f9630cab261eabc399733af052f05c", "5080655990fe0e0446bcb038b3e0adad0218bd29", "7142e659d6466717cdb8a242d8e34fce176b3f4a", "d58c44bd9b464d9ac1db1344445c31364925f75a", "0391dca8171f52015eba4fb0e4be3be071950fc9", "fbb9cdd699baf86e9d616b259ada02449c2322ca", "3347d3e9f8a2da66e1c00f6a1e56bb37d27145ae", "e849b9b3e65130712e23afb872ac925e1e9a6b73", "3f775e3be9e1a00ebf4fd281e524932e88cec0ae", "9588b3416aa68104b58546a4f82e234a3670d266", "81ba5202424906f64b77f68afca063658139fbb2", "3261a6ca620845566a61ebd0205dfb75d1c0d0f8", "5087d9bdde0ba5440eb8658be7183bf5074a2a94", "f33a7e98930f9623615b6ab3133431a298586f85", "1f18708439ba1dadd81568e102216731d44340d5", "fcabf1c0f4a26431d4df95ddeec2b1dff9b3e928", "7f29c53c6483919c8467fb596af9596ba546f11b", "7b83867b7f79cbfbfc71996bcf07fe7ee7a7600c", "1699acad478e85bac4632612b66307dee4cfc60b", "0b6f64c78c44dc043e2972fa7bfe2a5753768609", "c1b971cd7263e788e114cf8c4aa076a2e170990f", "016eb7b32d1fdec0899151fb03799378bf59bbe5", "2e3f24d9cdba1d0343248a81c13bca96db123c21", "fce4680e09b2521dfe75819dbf20d973fec4b864", "503c16d9cb1560f13a7d6baedf8c9f889b22459d", "cd9d654c6a4250e0cf8bcfddc2afab9e70ee6cae", "e7ef466eac953e2fc1ca59b08027c4a9feb3cb9e", "28737575297a20d431dd2b777a79a8be2c9c2bbd", "7e736f25911c91cda343c000aabc773ed9a94fdf", "65eff143b099e53dcf39692c2fb542b0ee1fdfb6", "80ce8b6abd00c4148f03011944ce03d38fb82c39", "1d6905e88f64ac826344d89c51ad8daea3b95e0e", "66a9c35828b1a4c264008a35fdb975a07c128fa2", "583e2dab221ad5d54c1b1cc0a9df4f1254bf3942", "b797f3fa4e732d52092f9eb863350440d5de8bb1", "16bd481fb66259df9c4c22b54797d8e8adc910fc", "46702e0127e16a4d6a1feda3ffc5f0f123957e87", "d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb", "7fbff9fa2ba7a7ff57a433e8bb19cfd99d52132d", "50c5a552c191bff34ca74e0f8dbac159e3814533", "860952e6d159003648290fac0362883b4e7adda6", "386a5c06d334d20227e8b2daf5433a2bef385648", "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "291e5377df2eec4835b5c6889896941831a11c69", "b69fbf046faf685655b5fa52fef07fb77e75eff4", "4438d4dd2dd096906c321b166b092ee51474804e", "b4c02e071432a9a986501b7317b524f216e87ec8", "13bda03fc8984d5943ed8d02e49a779d27c84114", "7bc74eec0a0aa43ae2b9448e16dd9d1fa4234fb8", "87a66ccc68374ffb704ee6fb9fa7df369718095c", "4960ab1cef23e5ccd60173725ea280f462164a0e", "8856fbf333b2aba7b9f1f746e16a2b7f083ee5b8", "2dd14a73911446f90c9dae9bd46eb172e2c7fba2", "f9f01af981f8d25f0c96ea06d88be62dabb79256", "6cda4d23983298ef2c9bd719805e66f4fda7e6fc", "ca90c12af32c057c9bfd46a7a054d799a27f0e78", "09066d7d0bb6273bf996c8538d7b34c38ea6a500", "415a4e43bb1cd0570a51eab1bc09796cbb09b2be", "81bae1505b1d404cecebb9e1b17162ac124cf4e8", "4a06c130c57b373718d15aa25ebb958d78bf2840", "4aeebd1c9b4b936ed2e4d988d8d28e27f129e6f1", "232ff2dab49cb5a1dae1012fd7ba53382909ec18", "1b32284d732e0aec506411b71e6150df53d167f7", "809e25da311366bfd684228e16184737d948eef6", "465c34c3334f29de28f973b7702a235509649429", "caa2ded6d8d5de97c824d29b0c7a18d220c596c8", "72642c9f4dc2ec2f4cc28dc056f8e542ff20b178", "289d833a35c2156b7e332e67d1cb099fd0683025", "09a05ecae987d9ababf5fe52323f69fa3e889d83", "0fbdd4b8eb9e4c4cfbe5b76ab29ab8b0219fbdc0", "f94f79168c1cfaebb8eab5151e01d56478ab0b73", "4b37efd3987c1e625b063a6998bd6b282c844915", "6bb51f431f348b2b3e1db859827e80f97a576c30", "b78e611c32dc0daf762cfa93044558cdb545d857", "c67eee5e0ecc020264fae089a08a1abf8c0b6240", "e605242319ba495bc5f47abe9f1c08d508d83627", "3a8f16d8f7adae8bd0cdc5cc5114dac0b388a9f6", "688cb9fd33769b152806c04ef6fc276629a9f300", "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "19317c6aa7f88c79abe03b146aa5d340a11fde3f", "143c8b8a45d7176240b1bd7a6e7aab705866ccb2", "28b72ad9229f38ec61f950e1d794d6af070d1800", "1c9333bcf523388d75f852e0689b0e7f5a04faa4", "050e7e32fdc48150f66cb5edf166790c69652b8b", "17a9db524ddbeb5577a94924c2a7cca048dd19f9", "a81d396c9210282d461f9f08b7b9794b096ecdfe", "4d1757aacbc49c74a5d4e53259c92ab0e47544da", "d488dad9fa81817c85a284b09ebf198bf6b640f9", "d392098688a999c70589c995bd4427c212eff69d", "1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a", "72e9acdd64e71fc2084acaf177aafaa2e075bd8c", "1b79c2e3816eead394145f2f1d12d3314431a035", "f2d95a5b29986a6a28746b30adfa43497b27ff02", "9da9ee38d5845d39497b10b0ab442580e75ee4d3", "266b5b038750e1ab1311e38554e4c2c8ba6564fd", "220f8088f2fc1ddd9df1a0b583d3d01cb929ee8d", "07b8a9a225b738c4074a50cf80ee5fe516878421", "8380b8f4e36c993eef23af42ccb382ae60aceabf", "6a1e5f4dbabf451122bf35228c8b25c79c7d235f", "b1d8d693e34c8cd80cf2e361f0910d5454393c11", "d146d7726369be92c6d67ff201a8a9300540a03f", "2d0dfa8779aefa1a9a89a1b400188fa9114b4c0a", "1bbe0371ca22c2fdb6e0d098049bbf6430324bdb", "9954f7ee5288724184f9420e39cca9165efa6822", "7e6c2d3142e03af2ca925418c34239ef8c262f8a", "ccdb0c44cb6f30924801877ece4f797b66670985", "cc835394ac6c47263c57aa815f1c5b9ea9cd0261", "0a773ed20a5920897788dd6f0d63c20defca8ab0", "a91caf771905ddff8cb271f04e7ede1a8b6d529b", "d3f349c401dd1b3eec10e6c2d8bb51b9a0f3580e", "be6f29e129a99529f7ed854384d1f4da04c4ca1f", "e212b2bc41645fe467a73d004067fcf1ca77d87f", "7ff636c82898a35d3239573f8e3a29da89c73ed4", "51c4ecf4539f56c4b1035b890f743b3a91dd758b", "007e86cb55f0ba0415a7764a1e9f9566c1e8784b", "d6dfe23018172d29c36746d24f73bf86e1aaa0a6", "9bc05a3505ed3210729aa59e405a974259925268", "54d97ea9a5f92761dddd148fb0e602c2293e7c16", "6140b789d5767dc124f9c3d8db7062d0e637082e", "0e923b74fd41f73f57e22f66397feeea67e834f0", "f0e17f27f029db4ad650ff278fe3c10ecb6cb0c4", "93cba94ff0ff96f865ce24ea01e9c006369d75ff", "19766585a701749fc297a5ca6b8cdc0c62d4ba1b", "30e6cf0c3cb38997acb05a2f5ed86269643ae3ed", "b13c28b35571627162cf46765821c739a7dc2d62", "24fc311970e097efc317c0f98d2df37b828bfbad", "45fa259ad3c2453226093ae72d8a88e2e5ed2252", "5c4d4fd37e8c80ae95c00973531f34a6d810ea3a", "183ad3409a53914247affc599b33af38d94937be", "0cc2dd2900339836e6d42f2cb0e542bbe5627454", "2fd5b8ef1c62e3fcef69bb7deebbb7d77d5998bd", "2ce76250731cb19ccc5ffff43e4c6abec8f5af79", "0f08d62e882026ac83ebf26c0bd288c553873814", "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "20c02e98602f6adf1cebaba075d45cef50de089f", "c17ed26650a67e80151f5312fa15b5c423acc797", "1e2b8778cfe44de4bbe4a099ee7cdff5c2ca5f38", "5b3725c8b5e058ec3a383b621aa9316b90738b2e", "6838a27d34b0a47e44dc94dde63e3f83986c984d", "d7da0f595d135474cc2193d382b22458b313cdbf", "0ce08f1cc6684495d12c2da157a056c7b88ffcd9", "d4d5a35371d35640d01f78abf9f51debb098cb4b", "1b12c10ccf3a814d7465c67542ae7b0f76521a81", "289b9161cf1b474837c1b5a0fdf444ca72b95aee", "728a8c4ed6b5565a250bd1e0587293a6a97f515b", "f2a158e5bd95e5dc7ab9169b613fed64d3aea663", "40c3b350008ada8f3f53a758e69992b6db8a8f95", "78bf95cfef847473ac9c83e625f2a52da82b0f08", "a28f831b4014fa75a69f3c56e39d9c40fc0af48f", "635bea02dae6d4402b53eb3b31930b53ef00adc0", "29aa9c557a46ad214a4236143d93072ab018841e", "a96c45ed3a44ad79a72499be238264ae38857988", "567078a51ea63b70396dca5dabb50a10a736d991", "6e4e5ef25f657de8fb383c8dfeb8e229eea28bb9", "cf528f9fe6588b71efa94c219979ce111fc9c1c9", "3b67645cd512898806aaf1df1811035f2d957f6b", "03484414f657a6cce8e08dc8a560ac9db65088f4", "7a7a53b05e22305b2963c05ac89830e099146767", "5d165ff5b0b389e32809c17838a2afc218a91d62", "ef2e36daf429899bb48d80ce6804731c3f99bb85", "cd444ee7f165032b97ee76b21b9ff58c10750570", "333be4858994e6d9364341aeb520f7800a0f6a07", "0632a9ace74f540e8793f89a84bb7555ba9deece", "75410eb80800f8b51b555da7d61b03b3fe58cc47", "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "15728d6fd5c9fc20b40364b733228caf63558c31", "1c521ac6e68436f6c6aad3c0eb7ffa557fe25b0d", "ae6e8ad5bce62d2f93ae3a039368f4e90c83922b", "576ffe2304aba0b799b4d3b8880f4b5a244ece5f", "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "79a3a07661b8c6a36070fd767344e15c847a30ef", "5aa7f33cdc00787284b609aa63f5eb5c0a3212f6", "8599560c50a55e75928dba6bbcbb98ef180a0798", "cf77d2e7411814b30aca203376709b12a0eb3e08", "edcf668846a3aaf55120aef0c806854936208b3d", "c303dba374c094eebb7005724b76d33547ffd830", "3159c9423862b22c6326801ad4353ae2cfe30d32", "38f88655debf4bf32978a7b39fbd56aea6ee5752", "0069406e49ba09432e9723d4a2eef27b9b8994b8", "7b3b2912c1d7a70839bc71a150e33f8634d0fff3", "056892b7e573608e64c3c9130e8ce33353a94de2", "7c33367c65094b25e30527176d85f4e74fb07c72", "7e5414277148c8fdf9903068b001887225b69868", "79e7f1e13e8aafee6558729804cf1284134815b3", "acdc333f7b32d987e65ce15f21db64e850ca9471", "da4137396f26bf3e76d04eeed0c94e11b7824aa6", "5240941af3b263609acaa168f96e1decdb0b3fe4", "126250d6077a6a68ae06277352eb42c4fa4c8b10", "447b57ff91e3572da718c18b2bc016839ce418e8", "0cbbbfac2fe925479c6b34712e056f840a10fa4d", "28df3f11894ce0c48dd8aee65a6ec76d9009cbbd", "4baf3b165489122a1f8b574240c2a7fa9b6a7a14", "325000c2ebe4fcfd08946aef91aee8bec22026a5", "aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6", "cb84229e005645e8623a866d3d7956c197f85e11", "636027f52ab111b2b22332ab2ec5346d03aac305", "a79a109a1dcf103cbb929cc3807572683bd3c35a", "3dba6c86541aad3ec8f54c55d57eca9aa98f4ed2", "535ed3850e79ccd51922601546ef0fc48c5fb468", "c679fd4e29597c64e5921fad796183ae30db8396", "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "ed90a9d379f6412a1580e7eda5cb91640000dc42", "bff8bb99347ff866e1fb77476fe3a660f4dc2af5", "b8fb23610ce59509e926fe068281476deeaf5687", "deff1653be22ef7ea2a4befe0eccdf660111c504", "d115c4a66d765fef596b0b171febca334cea15b5", "8306e384e7ca48445843bc025b08236cd181d7c6", "e20ab84ac7fa0a5d36d4cf2266b7065c60e1c804", "a1fdf45e6649b0020eb533c70d6062b9183561ff", "775c51b965e8ff37646a265aab64136b4a620526", "0688c0568f3ab418719260d443cc0d86c3af2914", "3988ed2b900af26c07432d0f9f3c2679f3c532ac", "3bfa75238e15e869b902ceb62b31ffddbe8ccb0d", "6d34ccaa0429255264c747f4ad86cef299a36f3b", "5d92531e74c4c2cdce91fdcd3c7ff090c8c29504", "beec0138d21271379bdfa89317a0a1d648733bad", "c919a9f61656cdcd3a26076057ee006c48e8f609", "c6ce8eb37dafed09e1c55735fd1f1e9dc9c6bfe2", "c0006a2268d299644e9f1b455601bcbe89ddc2b5", "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "e771661fa441f008c111ea786eb275153919da6e", "4ceb9f530549f3edb3369fd0bf7406d55354f9c4", "8f05c4c1b3c1ad31ec95ccb87bca24a884b5ad4c", "facf25e1880d23eb993d4ad507256ebbc7e0d82d", "e1537df2f7ef11c4a7609d4fa094d8c5e72c9a2b", "5feacd9dd73827fb438a6bf6c8b406f4f11aa2fa", "042daa253452d0e7e4b5920f5d56b3c7d8d7507b", "245922e5251c103c2021577cc0f99791d748ac64", "6a75ef6b36489cb59c61f21f3cd09c50ad5b2995", "461f6b955f6129aa1977eadef028dab9d8897f1c", "0f2d6a2c37203af0a3b10a02773b659a71468d32", "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "7268747251a61d1ce3285baade15c372d4c566d6", "3c4d0c604d892572996c1ee0504a1f1e0887a2ce", "83c00537e0c3e226d999a5abf02464e138867e96", "b6f5b2b519316e9ebdb8d3a94bb8f8100e028cae", "6120b82d4fea996404a9cd429c6724ccaaaea6e4", "7cf8eec76042dd8117f8c1e02b3d2a9ca4748dac", "7ec9a18671aacdbc138d082da0572e62806ce8d9", "547b09ddbc94900523d60dcfc51b61add7699588", "907d1baa5f344d147aad4a3d9cff382d9e7250b9", "5f9253997ce7ad510989e58c5c2b98e5af017fb0", "129eb5f1bf5f49e973f8bec8d4e8389f5197054e", "06f02199690961ba52997cde1527e714d2b3bf8f", "eb2d85e01488c54f48da94748d3298732f5b5de5", "e6f46d75c7ba653f027fea11a3c33337aff5c336", "a6b3457f861c8ab718321dc30dc708a4f8424796", "8ff6581f94c366e34c6f2d55806f7781194c33c8", "3146fabd5631a7d1387327918b184103d06c2211", "73b5261948b9b1e998bc84edf061efd354dac479", "b5ae8b69677fb962421fe7072f1e842e71f3bea5", "a523c62fd27eb1f4d2f7090bf0f346c895c5eed8", "14bf36c03e6fd5171794a2d56d18748b1ab3fd17", "9a1e29d9f23a6a3ba017dcb382e4b37bc705009e", "fb9ad920809669c1b1455cc26dbd900d8e719e61", "116763250838c0c37dace540ff38d33bf4864960", "badb95dbdfb3f044a46d7ba0ee69dba929c511b1", "f1aaf4f80c2bd42f14d8feeec34bcb0af48a61db", "d00c335fbb542bc628642c1db36791eae24e02b7", "33e0b83b705835c1d0ea878225e82f4a0f25826c", "7f92ace1683979018b87f2e472857e152503cc24", "8748c232a93cfe595de6938f209a170fca51c1d5", "c84d3506d2b831faf343a9e91ea5b257d22dbc34", "80f560e3e1b650e119dad40febfd4c692c441c2c", "811933108581e93b69f8183e545e843c6eb6db96", "6fea274d3559dfec495e7d54aec712b1e49bdaa2", "1daf18f2b1bed861a9483de129223755260193fa", "7dfa46c90d2293de3e353db84917fdee405f2a72", "7b0f1fc93fb24630eb598330e13f7b839fb46cce", "07d619a33aa9aef13da1d67607d0e671e9776423", "f5766540a5a21688f34d752fc21b92e909eb1488", "bbe3b83d2429a25459cc8114a1bad16a09d42b86", "fadd240a54d0598c0cfe679d3cacfff0300f13fe", "bf6598d7c16a5e86d6eacda31185b1b2e8411b19", "359b4a4c6cb58c8ab5e8eaaed0e8562c8c43a0f9", "8a91cb96dd520ba3e1f883aa6d57d4d716c5d1c8", "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "3c16b4c829d6fb0ae73211e19e99e424ed02ae52", "9c2a18691e28a6112cced694564247f56f5c97f3", "e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d", "5365892b23db7e8bd526441d339c9165657f7efb", "dc0341e5392c853f11283e99a7dc5c51be730aca", "16ead73d29d0f9f99eeffe2ee4cf1f8fd1053459", "e0d9d6bc35f1ec90d5e41d9bf176b2a00dce3a97", "fb0062eadbaae53c0fb001d0add7ea8d0f7029cd", "35ab5978376ea8113ff476076f18a677b4136d92", "4a77c8ab5d538541ac5f37ae6200d34360ff36b6", "c34532fe6bfbd1e6df477c9ffdbb043b77e7804d", "4df37f8d253efc3fbb6bbc9fe7273a39eceac76d", "9d226ba34cfc70bfb5b8e808bd18c217e61f1770", "7dd654ac5e775fa1fa585e257565455ae8832caf", "bd5802008156ed1ee6919ccaf21ba6c06bad2a4c", "523303e477d3b5f27373047c576b9b6dbe478f8d", "6cad5d0dca60d7d958d19ca4e03989772ff81784", "ea476558228c2fe014e034b76b5de35e40de8215", "16d9b983796ffcd151bdb8e75fc7eb2e31230809", "15037913b5d3f299da509218f0b914227d10b929", "565a3ec8b9fbf62d3341ba0047e14afc8f40cfdb", "a75db530b5a905c87aba6b65676809b35f9614f5", "a967e05a1eec6610ed88bb2aafc98de6b318f763", "06d89147794d0889b2e031b0c6811423806f5ea0", "8294072ea75ae73ddb8d9b85481b9a878f3b87c7", "ed0cf5f577f5030ac68ab62fee1cf065349484cc", "0698eb3b6409b0e79fefdaf9a99759d1acb940f0", "00dd0746d0029ab373bd855d6bf52bf1617ebd0b", "37da23bb50d75395e7feca8f8d97c82f22d8e95a", "4a1f7905a2d6f218bd39172fb6247ffa9cfe0640", "cef27cb257798380ceaa90fd65ccde1660957923", "5fc81eeb3920771984f5824bd4d4524016869f02", "4915d25f3db7506d9a310bbd53bbb52f521192e9", "770e16c18589ebabc9596a54cd5eeab8cb8fe62e", "46d29ee2b97362299ef83c06ffc4461906f1ccda", "fd892e912149e3f5ddd82499e16f9ea0f0063fa3", "9ad65c5c5a2b22ef0343831fe0dabc2055d72497", "affd45bdd5e7e20932b1caffd121600629d1a5e5", "0df0d1adea39a5bef318b74faa37de7f3e00b452", "e6fdc3cd184e94126b8f1207be325822dc0f54b9", "0dd86ec40c90c436a1ec566501dc8429d85b9d88", "4259f9b7700b060bda58630c4f2e2da9f0fedad6", "066d71fcd997033dce4ca58df924397dfe0b5fd1", "066000d44d6691d27202896691f08b27117918b9", "69efe30bbfa798e2b65e3d42d92427a8ffe9b0d2", "af89e230af9b31559ebd787767a47dc1670012dc", "a574d3c22195fd7fb83f1a35e83c43108c37bbad", "b5975cf3810bbe62a927eb1999f3d480eb584497", "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "550a7764e30f9805484e10d5b9936c539c5cd2df", "5af1e8a38b64c6694b9a34cd0b1596f2c905d3ff", "b2597f8d137b86920156b73fc9d6e3e64d597438", "08c6943a17f267ef27316cff9248b3036a7059f3", "26bfabc72c937fd4feddf585b4989407dea90c59", "66dd296261268061140f60b0cebec9580148c346", "dc9678f4563a865df780760dbf0e6ff4541fc0ce", "2c9861da30143bcad1281e858f2b441f6eb85e70", "9fcd06effa6edae818b2f1bd94cf039386d1f9a0", "9bd02152ff9fb93daef3f4dc7ef032479a6c03f9", "23a59bfb96c4f543673e05b3cf6dc01b4173745b", "fd6c144e200c39cb7209d7dc448f3b8c4d20d573", "3e01f0bac3d5df0744caf8f42ae189e113d0758d", "f9e9e352862938ce6374381fa4a233ad01ddd3bb", "0269312a7d49209fd9f1875e24df6a1d178fb15c", "62e2c431d375bbafd988d53c4d39f240c8b7977b", "603a282933dd7cc2bf012df66d1a24f6d7d0c0ae", "79f2e8a93993d51574a14ee08ba81a73abd8065d", "07625af8d73142e239b5cdccb1dd226648e4b0d4", "572dbaee6648eefa4c9de9b42551204b985ff863", "10e2f2ad1dedec6066e063cb2098b089b35905a8", "16d1e29b588fd26f5f0ac8038110f7b8500a1ec9", "8b86e6297fc9b4804fb2b78622ca1e7c8dc952c3", "0a851d13f1460eb66450473ef2c8e1bec9c7e75e", "2ea33c152a6ec4b33c379eb4cea81b34edd84813", "34c456590968581b5bc0baacfe2dc1e8ab0f2689", "6b8c949cd7a42f1b9f3b614ca40676b1a7a4a336", "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "182274b15e760537ae868d984155f5aeac88da23", "389b217408db3c6d013207ede37590513cad28c1", "47b8f1efade7c551e6eab1d11bfb85475241baf7", "27f322483a2f5f98995d4f780084000ceebc6cce", "1adb472cf79b9adc4f1223686528c524e5d790be", "cd64bfee5c008c1d96b3d0e440ef94270f50fe5f", "92fdb0c40f05fd02857f70efca469eac1c3a0e5f", "2637a5d0b677eb3145e5bc484337f99b8486014f", "f48b89fa0aa7435cfb7fcd801a51b2504b9c4515", "474c8e5bcbc744ff7045bfbedfdb336ad0ad12e3", "a50099f5364d3d4e82991418647c727f0f9c297c", "0c24ccc6d6c386a8d555a81166eaf6e8d4dfccc3", "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "806bf27919283dd4db3aef8a64e053ca5052840d", "0313924b600ebb8f608705d96c06b133b3b9627a", "4a111ca4ba39386b489f9c0a9c7949e932563ddb", "74f21f2edfa985280be63f8a01aa00541f3a5625", "a22bc85367a6474a91fecea9dd20681451c6fd0d", "4332314ac4ab56153f68a9e55e92b3659e93a5b4", "cc622a0ac114821be935ca9c66cc177b93e18876", "f5cfcefeb52bfed6c8f84b035824ce8a8112837d", "4c4622ae838ce86313c2979c0ebeec077713161e", "e414195d6e816a45e2b29c3694f22a707e29120c", "054ede6144c3dee20b9b9a435a33ece783a32cfc", "41f6368bc4ec5e334c81a9d16185205b3acecee3", "99a1c58b075b22c6b219f543e1566b215ad08396", "0e2c746b2e9d7337b63afcfb9b36998ebbb9a829", "ecd473cfbce5f058a3c9388b220b21de1ece8eb8", "e890ed30b4204b7294cdc291de7cb37a0c860f44", "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "c4a56e121cb183e2595d0c9761344d124dafd9cc", "adca02d4b34a9851d1c9c0a7c1bb8d5178b59b85", "9f889c81bdb1d791e22c5f455baf32829b5b788b", "5499003468a81f2c6dc616be6416e766b6bd3a13", "1e00b758e50fc1896511fab1cc00abddf5bfdde5", "75cf72819b8741777a961157f43d994238219f5e", "e216e7755e1c6850a3e64d1e6402aaf5a36e2188", "9807b1e0c9a89aa9b9244c3e8a720428a33e710f", "815e71b83bbfde33756fd5aea4eef74008342ce1", "69a55c30c085ad1b72dd2789b3f699b2f4d3169f", "93de2f92e71fca56254ebabd7ee64ecfb5d10692", "4f36755fd732684b977a041ee3b0acc3492e5b6e", "cb878f4c2c1bff1b640591d1902b53b3eedfbc7b", "7710f1fc67f11a91afaa951f1b26e07e280391c5", "afd5fd3c9ddf267300a6d795b79be65b197402c6", "e076f818b090e42036821c69727cfa3b7da49373", "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "123bc74a006a75fefcdd9995cbdc1c6c64c8bed6", "80ce2ef85b71cc78814a9cab77fce1c307464116", "08e6d7d062dca6ed869a21d7e5634ccbfd0dba32", "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "65637a5fd52509d33476e45aa882ed66a0584bac", "13ae3c8afef5a0d6f4c9e684da9fc1fa96caaeb6", "b51bedf49db9b892a4a346539d25f31e70faf05d", "1f2e8e29911696df774d3d674cdb5483e26efd89", "42a581862c4bf4c0315078165172cc8d40054ea5", "429bf689fe333e1a2dcd8f1d50cd0a905972029e", "42f4653f0693f16e087e4b913407d9b0278154c9", "31d4d53be57787c7dadac9d9286992b44b4707b8", "7ebc96b4b7886b263808c2cd62b21158ebf6297c", "4fc6bd10f05731b4b4948b426b164900a04cf1ec", "2b339ece73e3787f445c5b92078e8f82c9b1c522", "5520acfa1f4e678f1abbaab67ec76e903c3d3bdc", "ef66ed8d8db41f67048d077fd4b772c8ba748090", "6655aebc1ba3e0fada0a05069e84548deee50e7e", "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "d24855c3d8106b2809640579caff9fc5733aecd1", "31bbb2901d6ff0f53886e44e69c818f3604b2223", "8c244417db2082f4d5897548e72ef304ae886e52", "1623be99eb8266c9dab2300ac61bf279b65fc176", "a96b6e645a8d3eb8efc7358a852cbfbaa32ae245", "27d549aa1c1676cca14bb8c87e4f7339d9e05568", "7c0b4ace044848f8e156e5ec898847a075905495", "269e098a1297ddb1e3fcd85524dc8272ef2295e9", "0900b6288b61bf627649b67aa82be017cc6ea646", "5f4a873118e033e5e168ee99d64474b4cc4d94a3", "34f87560dc4fde9c856e46b79618817e9ed7d3a3", "7bd2f332a96fd64e015157d9564ada73cff0cf3b", "e44d8409bb5233bd1822555bf85095a80e27fd49", "224ffad672f7e6c7995780eb9bd3c8a141cb25cd", "94686d5df14875ed800a9f710bfa43ba4eb19b75", "0ae07f24251946b2086fb992031c298ada2805de", "b1757b756cba1e374a05b075d7664644332bf0ff", "6fb5c5fa97fbc761c5eff7fae18a3d27e6463330", "bca6e77e7e0db8f632af7395e99028025854ea0d", "133900a0e7450979c9491951a5f1c2a403a180f0", "f65896855e5df3db5422b57ab360287efa213066", "ccc57280e2c50381a692a67ed53124ad1b735686", "aab45f8c7a4338e80069e6a8611c09160964bea6", "f4c029044afa6cb3b08d5e47701d532b3aed9a40", "88e1580e975ec0edab7327783f59665dc711ee7c", "a303fca91c181f1084d94948169ab73c45e2073e", "18e1863e70cc93759a041b8aa745d0c0da51ad31", "3b30646bba9a44d7f9f191887edc5b427d819f73", "8bf53b6a162ce625d0fd5840dc41e1c845b929c4", "4adc7003141377fb4a854f948634599a823f898e", "898acd25d8ba5c073166fc38105fbb74128c9823", "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "67aa8c2e7fd5b079d8940ab4c5a8ab4013e45205", "1116e7ce6565b3c2f3bdae80b11bec166353a7cd", "8b6605aa3c52696992f39aeb5ef584cc1765e8e2", "4b004f3c524778d524bfb0cda923bc6e895f9ea9", "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "0a68747d001aba014acd3b6ec83ba9534946a0da", "a60146c458adfe9207f015d7a77cb7dfb54f744f", "c6a5c97a210847f6fbb9281cc87cf2baab042b33", "f71f3dd37793d7db809501e2eda47ca28052c946", "49664965ba3d988c327a05470fa7519f77dd639b", "cfec839f66000e45f6bf29af76e4641a30975ef5", "0c3c83b7f030fe661548d362ddf33f37bb44043d", "eb161064ea62eaf6369a28ff04493b47cf29cc0c", "0cf07a503b80f630c6774efb126df282a7c93f1d", "bd26dabab576adb6af30484183c9c9c8379bf2e0", "942f6eb2ec56809430c2243a71d03cc975d0a673", "4af21922090f8160c528d9aa77a169503555716e", "a0d5990eb150cdcb1c8b2967e6a4fe7a5d85063b", "089a5982768a077028d3675a615b32e67a12a22c", "424745b006491ae2caef924287e50fc6706c06ee", "278c9b47199701d75a6eb9f4cff9ea88fc7fe63e", "b897e41403edb987c218662fd7ccf7b0ec25382e", "4cc326fc977cf967eef5f3135bf0c48d07b79e2d", "c3d874336eb8fae92ab335393fd801fa8df98412", "52b102620fff029b80b3193bec147fe6afd6f42e", "6622776d1696e79223f999af51e3086ba075dbd1", "5e58275f36c81c8958968d10d14a24d8821f7da2", "9768b5245ee449b300d3da718a089e6a057a4e6d", "fc2d0660f3b49135209b567c09b1bb1d013ee115", "0178929595f505ef7655272cc2c339d7ed0b9507", "f2c568fe945e5743635c13fe5535af157b1903d1", "38d56ddcea01ce99902dd75ad162213cbe4eaab7", "fc6c868a91b480fb7e1fa300e071879929668087", "bd88bb2e4f351352d88ee7375af834360e223498", "1ca8ff064af16bd6b1b60cd7df416a1915d3b01c", "05651e76aea63ed00a6859b54e153e851e47839a", "010f0f4929e6a6644fb01f0e43820f91d0fad292", "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "c63f31a938944f55027808fb9afd4d6e0b8b645e", "92fb2cb7f9a54360ea4442f902472aded5e88c74", "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49", "1cb5547c3f5ff42746bf9c4e083795aed3c8c609", "db63bf0ea02ad561d6b97c6cf000c3954e428787", "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "5e8966e332a8cfc587fc116f71b97d6412a4472d", "b0f513aa41b5aeb9384f7375fbbf2030be526a93", "0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7", "5ed63317cdef429f77499d9de0e58402ed1f687e", "866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583", "90443ec362dc553f29fbf824b4d13fd7f26f2a32", "2fc8f46ed3e679fa50ecddd7e394235d6b983b4e", "8b6f94d27ee220d6528b735c39a2707810aa4646", "6ecb8f65ba1ede4877d75979b1540503e568303c", "25291c10213b6bec098e1611d145facfa5d2b398", "e4ca0b623d81a6cfa4ad852e9ef931980e44dccc", "c452a759042233ce3658bc734bf48535660f77ca", "0f6090015ce5b19ff5b7f58ae849668bf04fa3cd", "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "39c6897ed1a7157cd8370f2b9269f9cfc477d64b", "49a45e5e296815de821a6bd03b2b5d3c0da2cdb7", "2e3c8c8a413a317295bd44d86d089ed70a0b0c29", "666300af8ffb8c903223f32f1fcc5c4674e2430b", "36631dcbb9452ea3d35b19b2de6ef709022531a6", "b7216846c743d94fcd43e1b543c9d16ae11d3c48", "ceac30061d8f7985987448f4712c49eeb98efad2", "96f4d4fc345698b9b44f034c0d63b704772c8386", "d0b936f643f7462068517e0a840e775d6bd4abfb", "1e54025a6b399bfc210a52a8c3314e8f570c2204", "a42eb9e4c2506640446f07df3a9a0134752b00da", "fbe107b6e3437ffe33243480005c815eba3e02f9", "c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9", "23de28db3c90eadcd98554a68e0425cb6aac9844", "841855205818d3a6d6f85ec17a22515f4f062882", "aa246dd3999021ec733a56c3d4b7b6772ba007f8", "64a0323adf55db3d3de20cc2a8176961548379f4", "815dfb96d8ce15ca95c773b8f3dac08b355fa7bb", "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "4ab023f9bac5c85b829be95c905b6d5dc51820c2", "52516cf440eaf57966bfef2a6cc800163bd85793", "414920f15379a60bb4625405c85456c98e836f52", "1fd2655fd69a44bd9ca0d855521247d5620d3f82", "4a29bc00d1bc944fffe510713e3e8f2206c33fd1", "c82840923eeded245a8dab2dd102d8b0cf96758a", "bc6830fd4ac9307ddd323c5f92627fd42ac02ff5", "c06447df3e50ec451240205cefa0708caee8ab8c", "e9c9da57bbf9a968489cb90ec7252319bcab42fb", "c7fde641178549bbd1860144138bffdc9e800540", "cfef79c6ba4679e2c0ab902905701d39221b6f1f", "7559688658fbfcfea6829ce48ff6583d1c3439f9", "24301df85a669c86ae58962b5645b04a66c63cb1", "28b725d03845312c619e79932f3edbb47356e252", "55077b3293fe5f699d09df0675c2318109b4b90d", "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "0a100cb8a1accb69905374ef35c13f36c073873e", "df3fb59479422f82f1c2c6111392e6b425f928a7", "142b46642dd46566f7be8c6263dfc6bf13a8b0dd", "aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912", "ea3e3f62be20b9b11994a6308c79a286725db116", "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "5ea18f4f13835ea3413646ed676cdff411ff0c75", "4e444db884b5272f3a41e4b68dc0d453d4ec1f4c", "0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6", "eb7ac897c17003fa3d4b297c3a7937aa7b69f776", "9db77739a1b84c7a07c13a446684c9b63966f39e", "0321d183932ff1353d59e418847ff5bf8f5df5d2", "e60f58a4ea68d8f961b5d110329653b398fe5ec2", "95e82cf57bc67a386da57049453e6ee29cba1487", "67da607541b8e380c1665c2158e5e0dd4a6f0e49", "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "40000b058cf80b7983a2c0f96562368a40a04580", "a38b4eaa536dd2b709eb725bf2a2192b162cbf06", "a1a58f2f195d8da57a84176c1fd53cea34371fed", "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "76908c01966d1656a13de779955aded5fc1fed32", "d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b", "ea7d9a72e5f804567da3e9d937bd7d240c546d06", "1267eae42798940c105355a9590363fb6560595b", "1957bf2457f4dbac1bc226a16a751ad8f00705d5", "5db46dda9f0f08220d49a5db1204f149bd4f6a4a", "06b94b47b70c9bfcddbe277a61a9a802acd20096", "59c6c201e1e41c470c446e2762a156051c5107ae", "788b16995a689a918b7994977350e7db13ef96a4", "f257e3ac714cd8fcd3b22d7d27ac6fab2db34097", "830a532ca99fb9d8527dcfbac2d4003b4dd98eb7", "71424a706a2e4b9bc5fd049aefe83d73873c0145", "20c016843430bb65c60ea4011a9e8bbb5785c490", "7a0e9de471b25252afbf8cec566d4962538c5b78", "ef94ea8847cba51537a3df8f107cecb1286e1242", "bd825db9d9cdd0026a991a6652e8a4541c85c6b4", "5feb32a73dd1bd9e13f84a7b3344497a5545106b", "4f48c8653cd38cd18f08924c9304bc02ed7ea492", "bb39dabdbd18a241f0c06c54fc21e967d7217665", "3e3ce21b1ef9e4c7199522d2c923e3771dbae930", "b3e50a64709a62628105546e392cf796f95ea0fb", "6e9680fe35a752590ad2d750ba1aa2b387cba135", "6e7cfcefe82471a6aca78b59be0285467ce37b8b", "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "0e2e4b2deee91884d6da21c06e609b1f61270f70", "61b17f719bab899dd50bcc3be9d55673255fe102", "7fd358a0eba775fe9d87f165cb2074fa8fa762e0", "48a442646483d9777a2c5864a8e5f6d1a4851396", "788da403d220e2cc08dca9cffbe1f84b3c68469a", "9064e178864208cb0e89fecdc8d26b846ccc8e55", "75b32783a098b3173d44f27f7b8329b6d48f369e", "6f97f9959015cb0e93fba000ae468d22b4c5078a", "4ae7fb256d3251019f570776dfe34e8d234c6fdf", "58d96262dff8f28e59e66491ffb7f36f28af07a3", "2cbb8de53759e75411bc528518947a3094fbce3a", "01591390da1356b871aefe11d4bb92c1df5ba082", "9d6993f60539d30ee325138b3465aa020fa3bcb4", "1415c27bf7ddf4137d45f446cae6edfc9740919e", "c546010dd1547a8b904ac9d19c0b4e929a45c8d0", "dbf360fa9997b2918a8076f1d0df9a1fffa94ed7", "fac96b94671bd34c493db2a74254794786e7013a", "c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42", "8a5be2b370c5a1df06e1063b306b2874706c24dc", "bd41ce7362259dea758d84c219eeb0dd2f40337c", "571b04fc6e624b730f9c924e33a2cf6ea8049992", "db989600b1857cea9abd14dba9c10808030c7d33", "7ecbc1b186b4b2f6f6ea786572252984f1deb667", "5c8ad080ccb3f5e3c999c2948029f0bd005d5635", "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "3fd6503c5c5cfb2303dbf0844206221882180d7a", "d3219d8213b26e75141d53e802b5bca3d89a4e60", "c48ec3d14a223346bb50002176e9a04bfb385cc7", "76477d6f415a27938bdebd3f7de5a7c3328de8b3", "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "434c2c53af7b3cb3c0a47583a372fa3dc8143951", "e68c133947bbf14834f5353126ae85cc048642db", "799b9904f37a515a9614f6a92ff673c4c6e97a7f", "a50d2245d46ce0595ddbf25ae9acb8513aa70067", "97a25752c91538ae0d9d1f5db5ae97e2719b528f", "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "0f885fd46064d271d4404cf9bb3d758e1a6f8d55", "1fefb2f8dd1efcdb57d5c2966d81f9ab22c1c58d", "651e0593e76f6b536dae32337b4b9067d09f0796", "a5628b377efcd69043b158388203502e41266852", "41e7df687f07102969b3bc0c89c8197942da326d", "cbd0f4006df1b2661f2c3a711d95727d61756afe", "632d9b67c474aab18dc960d8a251b2030ad59bc1", "9a7c1562ed9a4be74ba3b02046469f8b32b9c02f", "40be718f23c163f12f88384a9ceb703578f89af4", "8ee02b8d375b21fe37b837e1a9288624f47c38d3", "655f587a59c835a7b6b5017016ea1c2123f266e6", "138f079382e2802f3c98c4c81218d413472c6d53", "d722ba2da54680a9add7db0e6cce2ce5ec5ab68f", "6d2892f82a89bfc81f9924adb8bd070fe007adf7", "a019131087eaca6d33f43d9b38d9bd177f89855c", "fc8fb68a7e3b79c37108588671c0e1abf374f501", "d7b10dc90288c6b4b41c77624f2805f4123e8f8b", "28453ccaaa89e46383e6164907d3e2a8f38549c6", "2ccb12140ffc642010b448e7b6f77b3f57cea497", "247a14b584d8d83a9191149011de2908a8da605b", "2cfdf540840a983907e957aacf68b405214c721c", "c92d6fdcb16eb547b3794a2d60cf04328fdd2344", "edfc222d66267709b66440c17e66fb08c69f2ba6", "df9a08016fa553a169d893ce2d3fca375bab4781", "3233340bbb770187cc870f01755a658d3ae92396", "890291bc2367e802fca871d67880bdc4a05374cf", "9976b88d15f89b6c82b16564735d489a7524821d", "db545026d0b42c2dcf935a1505a68edb36381194", "a1543975098f8ec14f4402f761eefb473100beee", "87a937dff0ecffefd8a7e4ca4ce068aca9731a0a", "b52ba1473c63e67031bb356151762477f99f3241", "53078a5692d493685fd2d63abf297a39b2edb36d", "12b58a712396bc2fd74cd19a4d758d7b9c104c3f", "ea5b90931a6e3d0801c1862aaafd42c5127fd83e", "9baf01eb53abda6a169110477f2c7a3492559368", "cb8a1b8d87a3fef15635eb4a32173f9c6f966055", "06d10f906ac9023b5566c70a2600384b8c1b24c3", "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "04384fc1b67e3fc6553aea9299589d33faede5a6", "f765c628c5483d7ad974a8605fdd3c7b4010ded2", "b83fa4fe617db200defe21a07f81aa8060587217", "c2e8f68f31a1cb75241e84d61f26263ff8904374", "fbdfed192ea0e6508d931b3d00335d99e976c0d7", "bf7f554ec8f5f44e9c942237effd282a16efecf6", "25a162aa22493a198e460f6be023d64d3b36dddd", "432a78fce47e2cc38fd742ab10cf80dec82ad49a", "719969807953d7ea8bda0397b1aadbaa6e205718", "c141b7c4ccb4a0e5d2a327aa260b318c7c3bcfbb", "37380f8247e7ddd77f0105914d97eef849b9dc47", "9fb32f4f332b6acb8eafa418b45650e54796f0a7", "d2f698591d8c7da36a2a265605e98e714d6b678a", "0a55824aa80e5a06af5bf8ba089b19db245471f1", "e346aef68ae6df61b83fdeaa71ded9ba0282325e", "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "e70ebb9971b1fece8760293e61ed42e2372b1d19", "2874e3b4bde2203129773f1a7baf78f0710c490e", "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "90eb833df9614da495712f4c1fbb65f8e7d9b356", "4d1aaf1027231979bb0cad6dc3e31e01925970cc", "48e361ac15c9c048ef20fbc8a60c21f0ef3e6885", "65429789a95b3026457de76d46b5ec94158ce10e", "5e9f01b44ffda34356dc15451098d6311335d7ae", "8a3d969732951e4d22c608d465b091b9272f03bb", "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "f54ce6b62e9889832d891f2aada677171d4219fe", "f2d2dd3db244dcbc6fb32ff9c01ed0cdeb3fd437", "10e78afd7ea5f70e192b08be8fe1a978ad89394b", "0bb078880758c023007950f1d7eea99e666e4f06", "7d39d69b23424446f0400ef603b2e3e22d0309d6", "20a1350815c4588a2380414bc78a7e215a2e3955", "40cf7b70c1b4e04c236a9997139c924d2292f505", "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "966a09ac570b043aebb7bd92fa116e8f40f50642", "ec2a887e02237e0b221b721eedac14254ec681cf", "1fc80a5bcbabaffc738222fa7381c75bf81d6ca8", "4f90acbfe479bad10b1c733dc7e6a174fd4b2870", "353436c53928bd999971694314a6f4ac80a196ac", "2bf37dd0ebaac003e67d11cc869e5e93b13dbd00", "9036f47a3d2aa6800ca50813846de8bd79f9cf4f", "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "e0ffda149d1d81fff507953377e08cf4f718d8ae", "697f0e24f24b016cef9474db485fe61a667f07b8", "30a77605282133e83ee5a35cc5bd9fe46534836c", "7f2a7d076bd2fad956dc5103191e392fb11adc49", "40a2287feb202e82634c225675c838d4f8875658", "1e17202d6de18d5e1965edce5fee79744b717d0b", "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "d50e47c59655d0274d60386c6627e2571242a121", "983f695c0ae44632182184f81579872f0353c6bc", "612da08d1dd16ac0a3b61151c6cf40b1e95b50c3", "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "968ab65077c4be1c1071120052b2e4b4f3d3c59a", "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "1f2b4b2670fb2ed83db817c95d52ca0e042d5315", "d1ade6a8c3a4c929efb70810a171c62a39e6f195", "c1de9803bd0072f017a97c0503308a7b9b4f211b", "57582fd607c8aad7245b497a6a68bc3a1901ef08", "5ad42766d7ba40ceccd8047f6810b9cf6ac79748", "089ad31ad5eef41bd179bb0a142d3386a8de5564", "7ba0bf9323c2d79300f1a433ff8b4fe0a00ad889", "e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49", "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "de09cb5eeff5e7a752567c009f7621dfa6ebb2da", "da30d5e0cf214c1d86f629081493fa55e5a27efc", "7d0ff6d0621b3846e8543bc162fd0215d8adfaf0", "dcc414adda5432011bfc53359075dd341b924910", "4cea60c30d404abfd4044a6367d436fa6f67bb89", "d89b7eb82a663187f63e7d69dca11f204c74fcb1", "f11acabdc1aa9fb8917431268f85746b88d88c32", "0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11", "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "2e68190ebda2db8fb690e378fa213319ca915cf8", "38d26057acdae8d66378db4b1a2fbebed0a14f27", "34f5acebcb39d844d3bef5cf4a840fb505bda5e1", "353a058f49a8c60b41e9cd28962f6060cf4f6646", "beeeade98988e55afe81faaedf06dc00848ec751", "12cd96a419b1bd14cc40942b94d9c4dffe5094d2", "aef55af11d8ecaeaf4c13ed765e74a3471ce9b7c", "6b6cd29c63d3ada53c7a7664248c6db8387da88a", "aef293fa9617a8924389b95f313540c1329cb2b1", "2e57eef707fa9c89d2a7ac68f55c26dea850c5ea", "014b8df0180f33b9fea98f34ae611c6447d761d2", "8dd9c97b85e883c16e5b1ec260f9cd610df52dec", "78a4cabf0afc94da123e299df5b32550cd638939", "1a85956154c170daf7f15f32f29281269028ff69", "62e834114b58a58a2ea2d7b6dd7b0ce657a64317", "4b3eaedac75ac419c2609e131ea9377ba8c3d4b8", "529b1f33aed49dbe025a99ac1d211c777ad881ec", "20b437dc4fc44c17f131713ffcbb4a8bd672ef00", "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "7c66e7f357553fd4b362d00ff377bffb9197410e", "8f08b2101d43b1c0829678d6a824f0f045d57da5", "710011644006c18291ad512456b7580095d628a2", "3d1b59fa0252e72afd8b107a1dac47cc2d5f8bb2", "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "9487cea80f23afe9bccc94deebaa3eefa6affa99", "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "33c3702b0eee6fc26fc49f79f9133f3dd7fa3f13", "0a1138276c52c734b67b30de0bf3f76b0351f097", "7c90dc1b0eb50900e38e796b5e18d50fb83571ba", "b93bf0a7e449cfd0db91a83284d9eba25a6094d8", "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "5da827fe558fb2e1124dcc84ef08311241761726", "143bee9120bcd7df29a0f2ad6f0f0abfb23977b8", "055de0519da7fdf27add848e691087e0af166637", "0de91641f37b0a81a892e4c914b46d05d33fd36e", "0ba1d855cd38b6a2c52860ae4d1a85198b304be4", "a812368fe1d4a186322bf72a6d07e1cf60067234", "8e36100cb144685c26e46ad034c524b830b8b2f2", "4c87aafa779747828054cffee3125fcea332364d", "7cfbf90368553333b47731729e0e358479c25340", "02e628e99f9a1b295458cb453c09863ea1641b67", "27eb7a6e1fb6b42516041def6fe64bd028b7614d", "6f2dc51d607f491dbe6338711c073620c85351ac", "cf9732deb856b45aa7a9b0e90bde885d7d8a16bd", "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "58823377757e7dc92f3b70a973be697651089756", "43fce0c6b11eb50f597aa573611ac6dc47e088d3", "71d786fdb563bdec6ca0bbf69eba8e3f37c48c6f", "193bc8b663d041bc34134a8407adc3e546daa9cc", "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "4aea8b8a733aa9a816cc53cc5c138876c0660773", "3fdfd6fa7a1cc9142de1f53e4ac7c2a7ac64c2e3", "48e77ff21d8fccccd9709b02f2de94b331c503d6", "c38b1fa00f1f370c029984c55d4d2d40b529d00c", "c570d1247e337f91e555c3be0e8c8a5aba539d9f", "e74816bc0803460e20edbd30a44ab857b06e288e", "0b43a712f055f788fd0502cac4455e254b1adbeb", "5c91fc106cfe9d57a9b149c1af29ca84d403fc7e", "47dabb566f2bdd6b3e4fa7efc941824d8b923a13", "4f51c4444a71fd13c4b8062a8835cc1241e7115a", "ccb54fc5f263a8bc2a8373839cb6855f528f10d3", "dda35768681f74dafd02a667dac2e6101926a279", "cdd5062627c7b331d64a1dec25989815cd9a4913", "85a32743d0f544ebf6d2edbb29a785073fccd634", "b91e9a1daffe112bec387d5017dd3dba9003adf8", "cfb3c1c395b146021a70ae9d5cf7c76854108a86", "245d98726674297208e76308c3a11ce3fc43bee2", "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "8ee62f7d59aa949b4a943453824e03f4ce19e500", "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "0ca2f48fad7f69fb415ecbb99945250cbf8f011c", "3e682d368422ff31632760611039372a07eeabc6", "49c5a9b23e06f5b99391ac5f34f9bf92d2de4672", "09b2e7af73689dbdba1547e19111a6ee06767906", "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "5ade87a54c8baec555c37d59071c6fb4a9a55cf7", "db466d02ec9f7f47ee11590d0feeb6330256c98d", "b480807e11bb4e2bb7ab6d70fefd03ab39901cf1", "a287643d3eddca3dcc09b3532f2b070a28d4a022", "19c53302bda8a82ec40d314a85b1713f43058a1a", "4f58c42856f1c23f15833d86721adae76215a023", "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "022d74ae2f8680e780b18e0cbb041d5c5a57c7a5", "7bd6d0bca27ff68621acd10d6d1709f084f97602", "7d7ee56f28688283ab9958bcc94fe88413fd89b6", "c351a76401c3f1fef420ce634c3e9a87131fa826", "484c2617471fd742c4806f9281e5add45c6831a7", "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "e4894a4d8fccfbe99fa065ab86d0203e1e447b25", "ce2fd44a8c43642b76f219fe32291c1b2644cb73", "b7ac537d97efcb968ca8e353ff5b0563e26b9dbe", "2bfe6128731674488249316cd2db83fe9045278d", "815e77b8f2e8f17205e46162b3addd02b2ea8ff0", "bbd9b5e4d4761d923d21a060513e826bf5bfc620", "2bc5a49e6d8351e276cf5b37fcc0a6eecebd5797", "0a3651647cb44b87ec8373ab4a1b53e2ac352bc2", "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "c20b2ec72ebf798e9567a145465e37a755fc34d8", "07d6238d8f8edbfe0fd2887fa0a7939735f21e13", "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "06101c79b9eb53ac1b85f8d8b556f02a80603465", "03ed6f09a29fe5d0dbf6d59798f88a5311c966d3", "d0f0eb3e7c150fb8bbba52af3347673f24d7c0b7", "80d9d4b5d7af67721212c0e9a89efb7f69671a5c", "6562c40932ea734f46e5068555fbf3a185a345de", "e1dcc3946fa750da4bc05b1154b6321db163ad62", "95aa80cf672771730393e1d7d263ab6f6d6e535d", "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "95c1a75417ec4aef764a93c3d98589d3a5f93c8e", "0e46943b2b12a8df6a62202651555a1d464cebec", "add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40", "e3e36ccd836458d51676789fb133b092d42dac16", "c91406fea53e869e431dc9a799b989321a66c9da", "271da47ce770f4acd2a9fd328dd2cc27eeefc6ad", "186e933fb752b5644b4ea6fa3007ff76b6bf125d", "1a0a06e659eb075d414286d61bd36931770db799", "2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e", "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "fa742bba58325af0c27083751ff1b8924e103973", "25b83cffddff334d78c55db4d67c65b1d8999b2f", "123286df95d93600f4281c60a60c69121c6440c7", "1b51e52ef178f138e74d055db009eeb102ad4f5b", "be0bd420b78be8dfc0aad65dddae10ff1ec30a94", "aeee02b8c8bb749a1203fa634407319dd6874667", "27043999be114bacb4d53fc6dd04316727986de8", "b6f15bf8723b2d5390122442ab04630d2d3878d8", "bf87e84403589f33b7dd076c6e34b0c7eb39a7a7", "a07c3e6fb9036aa0a04c37d065c49d2e4b46dbd9", "a54fcdcb02da0844d28b3191145bbc99675714df", "3886107ba141cdf506b3370c6443526b2b257bf9", "91ae3f2775bc53321480df63fac07998c3f5a0c9", "b613b30a7cbe76700855479a8d25164fa7b6b9f1", "f575acc7e71aa7c02b5d747b8ee8293fb4bdaf98", "2b62a643bced9cfb71e6bfb9c466aed21489a615", "4ef8462d844f92569b94d92d5a6f5c267a3a7304", "036c1d7bddcf704b213d89f66d9649a9c8e4f3be", "9f44dc7897e91a539ad97a4c6cab609213114259", "abba1bf1348a6f1b70a26aac237338ee66764458", "b29fa452d737e2b6aa16d6f82a9a8daaea655287", "43325f1459ddb03317adc2a2f83b44403028eafc", "77d929b3c4bf546557815b41ed5c076a5792dc6b", "ebf0259c7b95a9ecabe67507345742d45339428f", "bbe4d0db1fdb0da1a5550c889505020789e3520d", "3b14bdb0b1a7353d94973ef4c1578e1bd4a4e35e", "8746202644228a969a41085cb552e91dd13ef6ab", "6ae9f4dc7433ba3433b39ee932b22fd57922c2ee", "037e17ac0272b4db0d4761067dbf0ee56d91e6dd", "28af188e26836934c9beea8b2bc8cd53447197fa", "23afec5c3edf6c65fc28d360a82820d34bbdc8a8", "4398afa0aeb5749a12772f2d81ca688066636019", "ba597c956e5bba455f60276a1de92a12707927a1", "00f0ed04defec19b4843b5b16557d8d0ccc5bb42", "89d38db614621e925756db6e9b068fefd812d4a1", "548a0523c9e66b793f2145dbd05dcb4d32fccfec", "a5acda0e8c0937bfed013e6382da127103e41395", "102caab9bdf31c1bb4838529be45608ef29efbbd", "d54703c366bce363130f1e633e033a0116c8a0da", "d57982dc55dbed3d0f89589e319dc2d2bd598532", "c9b36584dcfd69ef8a765719d799090fcf0a96aa", "5d5533b8b95f25f63e07786cf3e063c8db356f1f", "91bda4b5ea44084f932523a12ed784ead126950f", "2a4984fb48c175d1e42c6460c5f00963da9f26b6", "834b15762f97b4da11a2d851840123dbeee51d33", "ffe8a4cef9dec30ddd2c956c2f63b128a4568f84", "3b80e625b3073be59ec0ca3bb846cb3e4c1fd426", "7b618a699b79c1272f6c83101917ad021a58d96b", "858ddff549ae0a3094c747fb1f26aa72821374ec", "4f3fe60e2c806505ce1122973a53da721a543d28", "b1b4b030b405b35689f6405e400697a2701e8119", "69291d44eb4fdf848a06defe99a74cb75026c70b", "832e1d128059dd5ed5fa5a0b0f021a025903f9d5", "f24e13dd7b70daaeca7a7395cd83c2ece4587b20", "a9215666b4bcdf8d510de8952cf0d55b635727dc", "008150576e5fa29fdf22d863605a261808800dc6", "99cd84a62edb2bda2fc2fdc362a72413941f6aa4", "48c0059feb14ca3deedfa7e3b53fbc34bd6d8efb", "8ca29760334b7bdeaa7ad7ae4ff54c3b24420dd2", "eef0be751e9aca7776d83f25c8ffdc1a18201fd8", "1dd56ce2f980283a9f167b9a84c3d42a47481524", "b82f89d6ef94d26bf4fec4d49437346b727c3bd4", "82a7bdc2ca2ba706446fb1b1c8696e0d0d7cc8d0", "8359f65fd0e0ada2a3de8aead37a6680b53de2a6", "0bbde476713458acbdbe86157bc5067b36cad2ad", "2ae40bda27db2da1c05f3e71ce8d1c809a909bbb", "1ac2882559a4ff552a1a9956ebeadb035cb6df5b", "ab041f1ce47627ef8a0165169bbb226e7c8a6fee", "8b4e353fe825725b53fb42e4ece889b7716d5b41", "48d784e556646cf1a42eff051cb2083a2d8e3234", "35c0954acde9c86df8bbcb6edccbcd702796f5eb", "0f5275b472344dbfc4a26a9ba73dff23844b7e84", "b2b535118c5c4dfcc96f547274cdc05dde629976", "7ada60106605bebb66812f85eed16d64d1acb972", "428d1777846efa8e86b694791b8dbf114e188f30", "0ddf59fddd97a40f77ba169298bde80cd38d0d82", "e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf", "f898ac4c468d46fde9f6393541759cb8d22a0ce2", "d8bcd7e5764c0b749e0aeee5569db1a9dc3d54a1", "20260d36506911e04ad1efed1e60b06bfc178d52", "39c48309b930396a5a8903fdfe781d3e40d415d0", "c570f70459af243af9ca73709646239d82d07655", "39098c6c2b365605b16ca9d5f67fc0df2c4fe8c4", "fed90d84dc199d7bd996caddd1cab26ded89de98", "f472cb8380a41c540cfea32ebb4575da241c0288", "69a26a8d376f84ea965f858d181e878b82a47e6a", "459960be65dd04317dd325af5b7cbb883d822ee4", "1586871a1ddfe031b885b94efdbff647cf03eff1", "76fd59062e563353097694d38855e94efbd53143", "833b6e61468fe655b5067ca91608fc37246c767b", "24f3dfeb95bdecdc604d630acdfcafa1dc7c9124", "ed416bf3e3a5d8e1259415eafa9ae20caf25c870", "1d59ffad091a5bffa5fe935b79f5bfc08d2e802d", "cb83430c8427c4c57cf417f131b410401d64f232", "dd6bdc336a8cbcde80725922b637617b5abb26af", "04f0292d9a062634623516edd01d92595f03bd3f", "9790ec6042fb2665c7d9369bf28566b0ce75a936", "7265e367f2ac9aebe2ad8ec404da1168edf8519b", "0021f46bda27ea105d722d19690f5564f2b8869e", "47d4838087a7ac2b995f3c5eba02ecdd2c28ba14", "598744c8620e4ecbf449d14d7081fbf1cd05851f", "8da11cd99ed1eddca4d245ed16f4dd5d24d3cbec", "f9bce7bd7909f1c75dbeb44900d374bc89072df0", "0d3d290e93ac76d5ef2d6c8bbced79fb3101ad36", "f79ab9baccd466d86460214c5cee9f3be0af4064", "0ff71f1fadf4c35924e93174556e0a63439d94b9", "6afccf6c6cebfaa0579a23e7cc7737837b090f0f", "77ef2ccd6a1a3f7ee590c688e841ed78d892d4dd", "674fcadf1b895e3a79380d3ac5afb43d406fd31a", "c8585c95215bc53e28edb740678b3a0460ca8aa4", "7e507370124a2ac66fb7a228d75be032ddd083cc", "aa5a7a9900548a1f1381389fc8695ced0c34261a", "6dfe0dafb4ed4bcfce670f321e724682ab261060", "05487784c1c94e17c26862e342c1b81acfe11258", "5083c6be0f8c85815ead5368882b584e4dfab4d1", "d62356b0b6490aad238adf0a29016140245735b3", "0f4b902a2e12378e0ac0cb6fff7dd4c5f81e2c0a", "c5858199b7703bf55f1772edad4856ac908f02b2", "a2550ec2abda71e6c323babb196f21e4766c891e", "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "d52edd32144eb9a14b635a5f612cc063d9129a20", "6b32c89af605d42d166d3674fd7f56fbc5bb7b47", "3719960f974173f23b88a207a42d67d7a393a89a", "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "0986130d760cc80895397f277a3254ae53266243", "e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028", "49f22f29e57f5867b47348555136844ffa6c6603", "9170443fb0e6a343bdcb68b3f49ae8e3abadfb48", "0155c2921f060a95c0eca8c64bf62a1eaac591e4", "097dc32f712550f655facf74212a70ce3828d98c", "22cf367d14e646914cc959bbcd402df0c20cd0dc", "1099d475ee0807fc0e4aec55b636db4abc01dcb6", "c48c452f26e54f37faaf025ca3c76b33ce3e40f6", "ed702537d487de0737582f7ef7e937f4fe9b28fd", "32a336e2a99eb113eeba7cbf622b463cd46d3138", "795cef320de562836caccfc6c6d2b99b3f38fc8f", "91dda4183c6118de8195e07a623962dbd22cc34e", "39db2ff704cc30a7e94989de33ff4290ea4a6df1", "0b61cad6ae6e7ab99f2e3c187bd8530da71f10ae", "e6540d70e5ffeed9f447602ea3455c7f0b38113e", "21913787b7ed62773926a287b60308d1960e6966", "f19f875c535b940cc642f5366925e92ac3caac97", "7804dc14a7d57cfbbab584c3fd7a111410451b64", "98af84d3a97c946369670a813f4399e36b20be62", "8e31c59c973cecce1a7ef114344513d1b6ec9001", "439f3a865dfb7b42c600a095a6fcee1c1f4768ad", "5383473d1a669beb0089f72a9a5075e943f0270f", "76b5ce50ab603a6d175fd21f4b1404dff3c897c2", "5dbac0b5e88c4af9a1adb4d482e74d0ddfe26844", "0ad344673a12c718637c851758484d7889125347", "416f9e0f460bdf57b5889472049324b5dc26ed89", "df8cf73dc6c026300bcb1d96db731daeaf847252", "cf74dceae075bde213d2aafad115d2afc893c21b", "29e0a79a31e9d8c8d586c281e5a0376c1911df65", "b810ee6da48d3778f5b4dba9088706af1169edde", "2bdba44420e400eceab79f02a8552ee97e940225", "9c3b9dee9da817134325357afbebbd1a0d67cab2", "88c564ea1148cecf903282eb0976187075fe2144", "ad60b6d777ab5dda8a67dc4bdf974abec69d258a", "9f7aaa10067f8e10f87169be1a3d0c153d979157", "d08dceceafc28e2533994e94842411aa2924f28a", "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "95e4f000204a3a6bef97af7328a63992b1b3d7c6", "fd56132a1fc505d39513994cd97ef4429aebe9cb", "027bdb0f502cc61b73be32427a8dd56e213cc2b8", "f5d0e8a329c2e9399ed311d9b68495c89881a26f", "f08266cea120e8aa091983da5269ee5e35febe75", "3657e84a673233f6783004c863c38b463c1f74ff", "5178e164bb5b504141ad5ab1213ed391ccc70c5a", "80e0f776604be5bd72381479b8dcedf98f82d470", "810cb76794fe11990cfe30f48faf222f7469ce3d", "9b6edae11ee8f12ada2bfc40ea6e871de2eec399", "b91a7b79ba6216c2f18ae7ddaf6f97f46f015ddc", "6ceacd889559cfcf0009e914d47f915167231846", "9729930ab0f9cbcd07f1105bc69c540330cda50a", "7b931eb8c539a75e7517ad57eebe1780bc5960e4", "b1e7a972049ac05db140d3cfbd6f946dc3f20cc5", "59b71e19819c1c6aee98020b34bf92e605f33819", "f3fc96377dc3456948fd3431ce940258926ce04e", "79d1e83e6af2ccb6aa96896547d7de0b27cf2e70", "032c1e19a59cdbeb3fb741a812980f52c1461ce1", "06cb0939ed5fb2b3398d54a7fcdb865fe53f414a", "67dca0d4b87ab2a4f18b5a1ef76f6ba17b599245", "a105d1ff8d42ac3ef4a59718a3fd214700c9e3b2", "46f48211716062744ddec5824e9de9322704dea1", "ab41364a58b34844b281046c3d8678f7d537a97e", "eb3e0a14851b681ee254ff0c2be5c6b29025c823", "20eaa3ebe2b6e1aff7c4585733c9fb0cfc941919", "82a1c84c9a6add84ab1b7df48917fd7616844e47", "eb0e5db282f88d47b65f98df70c2e7c78b8647a6", "a22f27857692fc4d78c7f0b0126676a4c0ec3985", "e9c9606bb8678c1a74b570a4be8c19944e8e817c", "a0e5afb1237d47f7a8ac66e7b5ada24cec5222cb", "a3fe284b029269ad5f071dd37bb137593c67dfc2", "6d79999f8dc0cb9f86a87eaa2eb313a4eaeb2e5a", "94a76e349e43f09c863a9c77e47722c5ade3740e", "6c73ca2b877d333157c136cdd3f5e96cd8909cc7", "41a21f4b272a33e71b73e2d533e0d86875aecac9", "004e3292885463f97a70e1f511dc476289451ed5", "903cae123665d885aa82b7590db0d323630d8d88", "e9a76f501ae3b2dca197f4b273aba19826dd4113", "e2b8ba13586bb9a96e4813472d1f763d37ead47d", "a9acda127ca506e1b2a4641eab1bc14292b304c8", "b1f4423c227fa37b9680787be38857069247a307", "2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb", "14efb131bed66f1874dd96170f714def8db45d90", "111ccb406a68d3fa898d65e059d1c8dab71f26d6", "8576d0031f2b0fe1a0f93dd454e73d48d98a4c63", "9f62aefceb988dc036146506eb5a31228be1f9b3", "1ab881ec87167af9071b2ad8ff6d4ce3eee38477", "f2004fff215a17ac132310882610ddafe25ba153", "59b83666c1031c3f509f063b9963c7ad9781ca23", "4dff129a6f988d78c457ece463b774c3d81ac5c7", "ffd152065390103497e29f00acc040567e1481b6", "d8904955fa93ad434f5156235ac94452eec57f64", "22894c7a84984bd4822dcfe7c76a74673a242c36", "181708b09bde7f4904f8fd92b3668d76e7aff527", "0568fc777081cbe6de95b653644fec7b766537b2", "298c2d1ff57d2164792a68f0d93ca2c257dad288", "15810b5057730a1c7c047d47f42a94dafc0fd95a", "57efdcf4d56f15846c9c5104ce2cd414532ced7d", "49e541e0bbc7a082e5c952fc70716e66e5713080", "6813208b94ffa1052760d318169307d1d1c2438e", "ad0863aa16301d7c6617f8b965a64cf58f38594f", "204f1cf56794bb23f9516b5f225a6ae00d3d30b8", "fdbc602a749ef070a7ac11c78dc8d468c0b60154", "2c448fbe0a563288834016b76c299b2beec0e0e5", "a70650358cc226e7f613b49f93d7eca044ca608e", "7782627fa2e545276996ff9e9a1686ac496df081", "336cc45a886874ea9b8f609f8c3cf0a4d9b6de7a", "13afc4f8d08f766479577db2083f9632544c7ea6", "5d7f8eb73b6a84eb1d27d1138965eb7aef7ba5cf", "bf37a81d572bb154581845b65a766fab1e5c7dda", "2f95340b01cfa48b867f336185e89acfedfa4d92", "05580412f6c90bb5bc14b714573d4534e3edaca9", "2f0e5a4b0ef89dd2cf55a4ef65b5c78101c8bfa1", "20cfb4136c1a984a330a2a9664fcdadc2228b0bc", "25728e08b0ee482ee6ced79c74d4735bb5478e29", "0ce9c3a2fec2bcd1a897c7ed1bf34cd68e6af89b", "b97f694c2a111b5b1724eefd63c8d64c8e19f6c9", "6e7302a08e04e2120c50440f280fb77dcd5aeb35", "2cf91c09d648d37c9833d9763721fe07213ae985", "2ae139b247057c02cda352f6661f46f7feb38e45", "4354a944535df5e62a2691e2f5c0567c2fc3f322", "49ddd4adce09b35f28aa5f79c0f1e1cdf928db45", "4da4e58072c15904d4ce31076061ebd3ab1cdcd5", "699b8250fb93b3fa64b2fc8f59fef036e172564d", "6d67a7fd9a4fa99624721f37b077c71dad675805", "8fe5feeaa72eddc62e7e65665c98e5cb0acffa87", "82d2af2ffa106160a183371946e466021876870d", "779d3f0cf74b7d33344eea210170c7c981a7e27b", "116f9e9cda25ff3187bc777ceb3ecd28077a7eca", "c84de67ec2a5d687869d0c3ca8ac974aaa5ee765", "e14cc2715b806288fe457d88c1ad07ef55c65318", "f073c3c86c325d5692f83a0c7226a2bc2f6f8a2e", "8f52a66deec46ddf25e93a83e48784790d5b59fd", "29c16d421385d3ea205c2cc4047fc663848ca67f", "4a2ff05ae941fb4cd3a65e74e1008820515c177b", "7a0c93d7cc75187aebb1a42772c79839c8f681c5", "863b96896ffa920bf5ae6f41c4997741d47c3e17", "92527ace7f75188b5ec209ff7d59f431343075e4", "de877f1d4749973fe23b1f4de5cee91550284812", "e862577cb654c33c4817c31b445264614485413c", "b80b9a58f06ca83ac643ef9eef32cf0fe424a476", "7e2602f7572add68636863504bfe9ff271f3796a", "03f4c0fe190e5e451d51310bca61c704b39dcac8", "2c285dadfa6c07d392ee411d0213648a8a1cf68f", "05020c51c11e3978a553581b026b7d94d92b034a", "e74696594014d70678f6835a948e49e8fae7bb5a", "98e64a5377ba09356fb191283f406708be7546c3", "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "cdbb354904bc05129fa1ded42a4f0c793dbb3de1", "2624d84503bc2f8e190e061c5480b6aa4d89277a", "45d9ac0ea4cd1ea91e98975b7fce0169089f25fc", "520796fed11df39bba7ea03844f4f465a6bf0655", "c18bf07d5161d6ca7afb6eb5a4f385b6bd2fc381", "6d403c9ca96ace8f3f2ec6de8138cea365a76610", "5a7520380d9960ff3b4f5f0fe526a00f63791e99", "9cbb6e42a35f26cf1d19f4875cd7f6953f10b95d", "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "04b08a2735eff524f17d3f1a63eb7fc6484d4f83", "f1100a7b95a65091cfb7d5c1d25279a31bbf562d", "c1764ccb75d19bb2fc5682dcba4d632b2cbf4bae", "e585dc6c810264d9f07e38c412379734a920714e", "eac2a468de0c4f241fad7696ca930bb2e11545b3", "ce6a6d35f65e584214aaf24378ab85038decddbb", "0d3068b352c3733c9e1cc75e449bf7df1f7b10a4", "6f14be41a36eef88889fc6ad966eda4ec1c1c6dd", "10f2b8188c745d43c1580f5ee6de71ad8d538b4d", "6d10beb027fd7213dd4bccf2427e223662e20b7d", "947cdeb52f694fb1c87fc16836f8877cd83dc652", "03c56c176ec6377dddb6a96c7b2e95408db65a7a", "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "c270aff2b066ee354b4fe7e958a40a37f7bfca45", "96a8f115df9e2c938453282feb7d7b9fde6f4f95", "3cdc307dd1a4f2f30b1a3721f5f4d9aa4f7ae4a1", "b8df2c2fa02a37d09b73277ca4edde654ac80953", "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "540831094fd9b80469c8dacb9320b7e342b50e03", "d082f64b8a0a07d105207eb822be58ffb61b353a", "1ef6ad9e1742d0b2588deaf506ef83b894fb9956", "1bcb1c6d6cebc9737f9933fcefbf3da8a612f994", "3803b91e784922a2dacd6a18f61b3100629df932", "57730f7a3ba2439207e091ca2b2e89dd453cef13", "865d4ce1751ff3c0a8eb41077a9aa7bd94603c47", "46312c80e0583e956ac351615d73e11c21749c4b", "9a64847d25de4e1deeccfe8d7ad45bbc7e332fcf", "b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2", "08a7dcfaea52c7fc5e603273f0d5d465acfc5c64", "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "af278274e4bda66f38fd296cfa5c07804fbc26ee", "11269e98f072095ff94676d3dad34658f4876e0e", "cc4f29647db7b7d4fc30a66d63a341c20adc8840", "0387b32d0ebd034dc778972367e7d4194223785d", "afe07027632430fb36d8217dc4f22804866ac6a5", "91c3dd75f6bb3e40e575b851b235a2a26a2f779b", "36c5421d477697a8692fe6a51ce62473e690c62f", "3b44991d1c9f51eaba02c86d8a0efb539805c204", "51ab92566306c2f26e8415b451f3dd1f83f59008", "258972e9df3cdf0b8babbf607eaef7cce689226a", "a4725a5b43e7c36d9e30028dff66958f892254a0", "e71bf6c404cc9634ab2e0bdea3ee517911012001", "b5f3b0f45cf7f462a9c463a941e34e102a029506", "0573f3d2754df3a717368a6cbcd940e105d67f0b", "2edc6df161f6aadbef9c12408bdb367e72c3c967", "1b300a7858ab7870d36622a51b0549b1936572d4", "0a23d374c6cf71a65e845569230420362fe4903a", "d29cc6d2007920beaa47b24d222981a1e6802ff9", "04c07ecaf5e962ac847059ece3ae7b6962b4e5c4", "300fd9ae3bb33fba3e48b605e49d59b3ce3957ff", "389266c1cb73a7918d599be659d91e7fb7f431df", "d90026a9ca2489707aff2807617f3782f78097be", "d8afe2ac486762e37dc6616606d38b5967e9618d", "07a8926c99d719c4f4f6067e4479e5d1f598779a", "825198ad69b2203997341fa903ce56ea28451644", "34c2ea3c7e794215588c58adf0eaad6dc267d082", "0ed96cc68b1b61e9eb4096f67d3dcab9169148b9", "940a675de8a48b54bac6b420f551529d2bc53b99", "88ad82e6f2264f75f7783232ba9185a2f931a5d1", "935924ddb5992c11f3202bf995183130ad83d07b", "83fd51e4938ce22671152e8c63867d07d0c41686", "0931bef0a9c8c153184a1f9c286cf4883cbe99b6", "03333e7ec198208c13627066bc76b0367f5e270f", "54e988bc0764073a5db2955705d4bfa8365b7fa9", "5031ddae98622adfcd71ce75cdaa3954dabbb0f5", "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "fb5f7d581c0d7561e83c6d77c3df6991641cd158", "abd57ead5ca39a6adf02e1bb1e5d1fe0fcaf717c", "2e12c5ea432004de566684b29a8e148126ef5b70", "93978ba84c8e95ff82e8b5960eab64e54ca36296", "1afbca9f7011ec659db9cb3692cbab5b5e38499b", "0a9d38f74095c6840540dabb00c754f4b0c2d131", "a8f1fc34089c4f2bc618a122be71c25813cae354", "eb4515c58ba7446797b016be9db64e800c2fadd2", "c68e7986e246087befcadfb0032c3398d9114ce8", "6278b2586a1240e3184d8d9c26e6efb50e55bc30", "23b466abb866e3f160f4573a69666f861aef59cc", "ad29afdbce160d3749a3685da75bc35b16d64b95", "616e69647b02e69cffa7eeb83cf3e72b8c532653", "0f0cab9235bbf185acdd4f9713fd111ca50effca", "4eb8030b31ff86bdcb063403eef24e53b9ad4329", "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "912760092c200d1151900ff0e34acb113de43c3c", "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "6b6fcf1220ea100aa80004018c78b137289d3c50", "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "06fc643a48464fd8280d11c1189f49afacbd43a4", "7f5793c967d53d0a3e88e8bba895336b92d5da90", "fbb4f4959756798aabba8034cb3167756b191811", "f35953687697b3455fe89b1f07504daaa6ebf4c8", "e58434a01c45505995b000f5e631843a2f2ea582", "193a69489230de1013dff9af1232e5379cc5282f", "744108530678ee667b9c1220933bed074794d9e2", "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "4c5d723dd83250c6b289c94318717de2d373a6ed", "0bca0ca7bb642b747797c17a4899206116fb0b25", "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "334a8aa8664637a74217aede4c368058640a8203", "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "a221588fd2d062462254481cfd9563fec2f7c387", "67126ad0af544740c455311d08cb180aec830a6c", "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "823db813f036365cf9b22b2081ec167a2b582532", "f4901354f843b058bef649d14a9fc67c51943da8", "5a0209515ab62e008efeca31f80fa0a97031cd9d", "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "2c9c597ab660815e07980e9655c3c5989402205b", "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "23453a37beea310b53419be45fe266bcf243ab49", "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "18fe63c013983bea53be7d559ef36a1f385ca6ea", "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "ff18125a8f549135e6320fed91d0002bd2dae635", "5075c16908a72d506aa19e10e12e79ed9383db48", "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "73883181800edffac983fb110233dd5a50a10c11", "3e50e351687779c05390daf117f0394d1556cd3c", "06443cc014711e2e9cb6b8625362b022826d233e", "d0b083befa0034bcd4a1349336fb30158157e6d8", "065f05c9cb2a6080191851dd82cd9b439a77499a", "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "0bbb40e5b9e546a3f4e7340b2980059065c99203", "4ba503d8f173880d8e8402808f54b78b653e5d20", "f4c42c58c6649538c85b85b5357b29793798109b", "23834ef411abf22da58d5bd1d9c1cb2896713f62", "03a2235fea70317461222fac05e38ee35ead9711", "48674565d0737bb422406d757c02042759b635ae", "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "4896c9f6958137c88db29a3a707aafae3c29d106", "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "46971fb6caa61c606b046da855be4e196a830ccf", "1a20ddce2349bc995dceea66cd2378f8888c8027", "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "9089280062cf40870a322d687c2850d45c02ebae", "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "7675774227157bec91218d6798680f58deaf8bb3", "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "cf384eda31030a45238ebd8356ace7600da5076b", "9f4078773c8ea3f37951bf617dbce1d4b3795839", "280895aa15bc8308f919d4cad666e826e82608f4", "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "83acbf0bee402b0472ff101cee5942f4137d91c3", "a7edb6726667875e3ebebe17065779be7cbf5623", "3b4f6956aba3c0a8c444349868b2263d3124aa66", "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "0547c44cb896e1cc38130ae8cc6b04dc21179045", "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "393d34faf86df2c9d8246a7d6ba669133fe9207d", "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "d13c01d8218ddc744dffb040a8dce055ebd3000f", "64b9675e924974fdec78a7272b27c7e7ec63a608", "8680cec120c3717c2178aafdf45186fd04d49875", "4980511ea7ac286b7fff0456216425287bc9a083", "b1369e4785dd0b23f89ca76f45468049c8667863", "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "a609d96399ea52d4d1026b416f181581af0e6fbc", "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "f1d8c377093ecf64afd7f17383738e81666fe5ae", "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "10f13579084670291019c6e8ef55f5cd35c926b6", "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "c17b85fc95591573bc356650522d303f8d76aeb9", "12ff1c48f5776fda9d156c7b324af3f2674420a9", "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "78611941ba25ea5e3d850a940c9e3a293798a08d", "579f0108283f119227de6a485069cda3c7945fa3", "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "09ae02eb0359363134a7a5ca912ea60769b07031", "9d67f5adf4497ba99201d318cfbbed07e926c05b", "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "0caef87116f62fcc86735401a9aa9d4e170ffbef", "806aea24148fc2ef851803c216a0a25894d78bf4", "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "c43c6fd93f1d171487ac2d35d4744199db69f244", "848db2f0758c314ddbc0bc4030633501df3a9276", "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "3bb1c6290b208cda17f1142215c952e40761769d", "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "f865248065b8d6bcbce4a4053b73e4de2080ba23", "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "e0e19769ad446c2a74c0616fcfb551059c899ce6", "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "4aa286914f17cd8cefa0320e41800a99c142a1cd", "eea9994c71831219aacd537f5f4ab8a91110a7e2", "bb1625e1955e9453221244b755539929ca86b4a3", "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "732cfdb92061c660ce55743b07bdad6657c4aa5b", "472de7b3c674e8f06702385569779d11b71bc8f2", "73818ae13a89c2377c30cdb029fdb7e490fe5367", "205e895e03969c96f3c482b0bd26308b16a12bd0", "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "6826ae2e1598be376f5b64f302172bebc57b64cb", "dc5fc803b64b49217babab378efe29f35b697d2f", "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "be99cefefa264f6070f56f1fe4c07151e360ff3a", "d3edc100c6577abba414f6c0a16e4c3921e68bff", "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "ee42895807a375adec78c8221ecfcba01b0cb7ce", "c5632e2117d268159225d5c307b7efbb6428ccba", "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "0585a2f480e9fed934e415bee8e03e5e13abf035", "5eee4151201258ca75202057baf00a9774ccef38", "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "b6946370d6c13d562b96e42d494817c7d1969a8f", "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "6bb19408458dbae075be7f1612b969b565b4767a", "9ea7205ef136f207123cd6b54e15075835ae0049", "191beb87f84326d2cc9c427efe2a5abee8f67574", "5020a75c45416073d0b07b1deb7382bc80de1779", "a73c551da8d69f04e2be7c3f5c7125532e194935", "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "b8ccc5341a1b0214e9d155b019962023f344c2ee", "8d2459ada191d496eeee70f1e817d0ba92075160", "09dace372d15fa3381ade36f5cf892b5ce15a982", "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "54830a1cf8606a5183561357b4004088718e4141", "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "44a3ee0429a6d1b79d431b4d396962175c28ace6", "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "8047586d2223f3076a1fc028197f54d0997bccfc", "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "b1045a2de35d0adf784353f90972118bc1162f8d", "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "1426045c4188f09fec46d0d2f246357a230a1748", "efe133717899b41cd4c0b0c999da312d3af60a6e", "9caa7605c16da42761c8a27327f5f037dbf901fa", "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "49d83e2fc70dc00130ac9eacab498a96abaa0300", "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "a5683661e80668e05170bf17bcbd754d1b07af74", "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "575a0e97702edcb0621a47b574949bac50e34200", "7fdab95ff454a900c710f464c1129cd173059912", "8ec2485e616c935aa82645783096abcd25547cae", "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "bfea962697e9b445b89a865b465ae967dd55b4fe", "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "3d2bf56bf8efb0459c0303526436ac320d237b13", "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "b54200cc65046e1d29329bded3eaa741f45063e4", "90e36f66c25a4c73a252102c6c6c329c36d82676", "ee098ed493af3abe873ce89354599e1f6bdf65be", "0c77f42e8d530b542a534087b24dd8a21e8781cf", "e64fa00da02cc774559db5be88bc2862afbfd432", "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "0faeec0d1c51623a511adb779dabb1e721a6309b", "5ca467072ec40acb1b6bbf59f1119300741c0aba", "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "c4fc07072d7ebfbca471d2394b20199d8107e517", "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "13105c611a059b4825bc92ff9778f532b6a849b2", "0967341790643f680f3fc9dc87bfe311723be4e4", "a8bf49021017e19df051a3efb7337d93ea263e37", "8ff7743abd160763dcd12c8404d65477339a0e81", "347ce37f15cea5bb8d0a676562664f80e3609b78", "ffc2f8c1bf568b913427d1702d75306311df3d5b", "a05b7a206c86b3928746cce935f6f85d534a43cd", "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "50612493253f5cea7ecf406e9a8d75382b96a83e", "659fc2a483a97dafb8fb110d08369652bbb759f9", "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "35f345ebe3831e4741dcdc1931da59043acf4b83", "051000dd99635b74862b4b33f6dd84aca34f7471", "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "bdfb5f11d497b44b17d0315c3b6892f835723832", "14a3194bb454f1f2e3fc1452045ac18c69959368", "43fe9006b90137d6ce85a539685ce66c13f0e38e", "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "0c2cb193274217855000c98a02488885571b55bc", "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "95f4b88d4b0a725d786b34558b60af47f5442230", "642772c38ff690d17a3ce84a1d8646aefc802139", "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "7653af14cf2b220da07252df585c443985ea9f8b", "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "15ec23ae3007c8474149777e6f3d9974dd392fb5", "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "02f90eb252ab3bdab420690570b16effdee53b3f", "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "fe1f382184505cdd9c8857119b95974b8396c3d9", "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "9b6538d09e914c41345812b3086feff1dc1ae218", "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "16741cad4175adf065d6adbfdfa27acdcda2b26b", "13c0c418df650ad94ac368c81e2133ec9e166381", "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "db9644b48ff890fd76c377192faa1e60b72c0120", "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "777487da0f738161e4283042084b85fca4a82487", "7f415aee0137acab659c664eb1dff15f7b726bdd", "6143a034163e7c8b533afcbba6bd1c48631ca77f", "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "878169be6e2c87df2d8a1266e9e37de63b524ae7", "3daafe6389d877fe15d8823cdf5ac15fd919676f", "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "ada42b99f882ba69d70fff68c9ccbaff642d5189", "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "52684303004d2a9849e53a111cb847d05156d73c", "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "9434524669777d281a8a7358f20181c9e157942e", "0e0900b88c33b671be5dd2ded9885b6526d6b429", "4d910c5ab0b70ddbef6be944077ed63821608135", "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "07764e1607d9e3d8094455adb658077996eb38c4", "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "b961009dedea99f948650df7291a28f18bbfc1dc", "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "d4f454b24a7901dea14858808bbe277c7bee8ffb", "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "86824ba374daff17ff2235484055b3bb9c464555", "ba6c19771926564e89be4ace7c33dc3da580249e", "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "70d71c2f8c865438c0158bed9f7d64e57e245535", "924f931aaed2925c9d9becd0ec76c512fba8274d", "447b28c347172c6da0fb4d764a534fdee557b7f8", "782b21e803d149955c627c063ae60efeae04a9b1", "cfa48bc1015b88809e362b4da19fe4459acb1d89", "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "72048081cfe678f700c52e1c7a56713a8e0865b6", "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "7fe203374ba3ddc8462a7c775b276e53f09dd036", "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "ebf35073e122782f685a0d6c231622412f28a53b", "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "3640bf810f4cc3160c278763663de03bc5ba6bb9", "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "37314dbf2d7680b0545223abefbb58cf476273bd", "2a7007555f71e559c6aa33efbd3bd8b401638d82", "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "d86cc655aee9596de5e0db001275c6fee495eb08", "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "5b0b675416d0603008d5650bbb259f8ab230e8cb", "8d73906f0a232e8b94200017e512446c1af4dd9d", "497857bce6ea1ed4889fb949a2f176072e2509c7", "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "1d5f704a98d82c34de96ceb80fa06552082effd3", "ce290c46257f7676147b5cfe4c104373e4fca13a", "18b4a20ed465972d9d8f3f8d8982d321acf45907", "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "992a614aa601c52b20729538ea25b62471ffe8bc", "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "53822d61e829ef02a95a6c89fea082114fd3e16b", "7532996c27b199ed89b412a9f0df7483df83ea72", "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "d764fd52625933692843941825845fcd5ee27f0d", "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "1ebb95859f0398cac9a957c61f5047f268ec89a3", "478261574ddc6cf297611000735aa9808f8f0030", "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "572785b5d6f6fa4b174d79725f82c056b0fb4565", "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "2d34052aa801b2061670be0a39f59ae51b5e5866", "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "3785f701a53ab0c8baa9b76c75216944361943b8", "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "72be36fce39e2c04ac1f3e3995b39559e226fe34", "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "52fe6d952ac0b6888b65293acfaec6825153c955", "030646f4fc694ffea5d4f77203cbbc5d02aae797", "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "21462ab847ee919abbd862c1f86b7c13ad34d519", "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "06f1c079303937f6022e6157e6341c7921fe9428", "038e2f45575c234358325dd0dd16421136882191", "5570388d982bebe4eb80f1eb7348e353370a5ebf", "285b27126e3e6d51942e8a152581a59110a9feaa", "333b877ea761c5c1d4ffa39654fc19bd015e245d", "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "35535b2b03a9fcbcd8c09f753e1a69c977add020", "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "c0c3e0161a1007a5edf701a6b4a201ca06922559", "45d45687ebca6281d44e477cd012a1ef48ebf286", "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "6b8c4082cff10a893efa172da0ca1d31e166be0f", "ec25f39fa6b4ef4529981a1ae051086e93642d27", "4446924885545b255164b32e42b8375bac699f23", "da082139f303fd36c160d91acc0949c005dd846c", "fc2c39b6439623c00b10e8d9826b1c82e8487805", "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "0d760e7d762fa449737ad51431f3ff938d6803fe", "d802b6f76288e62f9236d13c59dedb94453e6915", "6342c679becb63aed72a9c7cc2cf3b217adcacee", "92cd808bba43c3702d8cbddde65ee42bf01676d4", "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "0b67879b1d5db9da12490b41b4f52d12626e87bc", "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "4ac0a37ba0630310e7848e144edcba9ea3d05334", "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "77a0e3e366e061b0ceb4a7a901ee18e420185447", "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "5cb5207759597a5d293a331af73e1ace574a4ba4", "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "013e0fe2d203eaa33a4b42d057688815116cc6bb", "931282732f0be57f7fb895238e94bdda00a52cad", "05e9e85b5137016c93d042170e82f77bb551a108", "64bff565c83c6ce3fac783d8d67191af99803701", "595a8356461904b2dfe7f46acc87002fcee9d4a1", "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "cae6f7249783b102e8b05216709a780f47c57f7c", "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "0f780a8cb09627bec41000345c2771df2853224a", "c1206330ba57a27fd0acc29dd39825bbf2d91060", "182432088c9fac5b0ac977df625cb40765f7c84c", "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "02f86370fd467f0d03948a94a346034d8a111ffd", "9241b103b76a3bdae157038b71783d7d372c71e9", "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "24410627f9db865c4a95bf0ec74547f582ee198b", "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "87fe38a79ee12531bb618d4006a476b3a5256f3e", "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "d8b8e165279ca2091d5af1440ed974db4792250f", "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "df8aee8aef6f0c71f968979318dafcd53da04bdc", "d5c8280e49cf7f58356e37e1722ab429415204ff", "70918453e9f147747b7a37d9159c8c1515a55ae4", "1876095a9387a84e594d81675c9c2c17cb10f7cf", "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "ad52d047a44f20416f9dd6655cef54169d481454", "e096b11b3988441c0995c13742ad188a80f2b461", "531e412155cde56382906aeee2a1b28ec61259c5", "2fc8905a80b284d2cc204dc38ce10d904a875be9", "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "85eedee59aca5f2a591265a2173cf3a2799cdc94", "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "6d90a0ac9d015b911469663d505b2e3d8f75520f", "70b420850e16ec2afe42d5c0006742d9045b3e7f", "8ba686c99684c6be46988ed3ab1003312c2fbf80", "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "69877c56737f84951db86ff27235b597ef95be2f", "82451d0ae2e0154b5f9cd096af199c35319e911a", "2d1d105538961d9b301bda6248d6df55829751be", "8ff6294535acf46abf523b879f20685de0692a8c", "2c953b06c1c312e36f1fdb9919567b42c9322384", "390faba76c076e6bf8db4b0850366bd084be257a", "d97224063697392f073e467005e89973d2be7d65", "2cd7821fcf5fae53a185624f7eeda007434ae037", "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "e33bc0cd79d92d6868989a29c3ab06b75f808590", "14d1a458f49e251cbbab34349e379469300a2bae", "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "9b8746e9480c3bdcaa6efca33096369422c624aa", "3325860c0c82a93b2eac654f5324dd6a776f609e", "e1f041594fa37d407c80b28a13680a9ddc081c49", "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "7d520f474f2fc59422d910b980f8485716ce0a3e", "dab8b00e5619ceec615b179265cd6d315a97911d", "d012f6d7fd45051adaff8da4ce0860de9f81d445", "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "4a31ca27b987606ae353b300488068b5240633ee", "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "40b237c04438a1828083a139ebc88f521591375a", "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "894e4376750b83b63649cc518b121f345ca0df83", "21d1225296aad388406824eb113715c4b90ed3da", "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "75b987f86af2bc7f68edc45be240dd30e1ef2699", "01f26d2945c4eca35890756d114b4cba9931bf25", "0d517ddc86858e4068d52dd6f6df53a9a8599690", "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "6a405e7284ff7e2127a241d60646b4abd3da92f2", "0d60264bbb41ed188f852d96441f43909c3e60ee", "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "c0e551acb063c9cd73dea28ab8963f850b6f1148", "c1d1b1197667facd360196059796ab8cb7b46e96", "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "25d75339720787e7003f2f103cf38cee8175972a", "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "c6c691b772822881c5c52b779100928f0d54fdd7", "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "11a3084768f035c824662a85a348f02466693d2a", "4be10db13a9210e078d78a4a072c569d9bbd9939", "4268dc438d81c9f143edb9097923709b2e7a18ca", "c9abf6cb2d916262425033db12cf0181d40be7cb", "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "13e424d502bf539108ad6f5cc877cfb1255dbee0", "1dbd7653ede6af15d539f64cb2128752ca029e44", "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "3ec04a3536007433451a428e090d099c8b2a6add", "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "f4c45108cb41051010d8a5175b8da23eb246c967", "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "81ea29bde0216e41420c4591bebb800142fa3269", "4a31b3fcc346bf3235efe1c0fb310833570cef27", "ed62a56b81511d7fcf6d247014987163d9668982", "742d5b4590284b632ca043a16507fb5a459dceb2", "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "a289de92de2503b632efd7acc13080ab026986b7", "34072c31c2c778df471c9f0c43ba6198dfd0db32", "d23ac99cdab20a9a3eca2784a5b262649c717988", "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "8339da16dced3343173fc71373012d73c9f59f8d", "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "8502c089c9affe5955810073b4c814457790065c", "a74b045f28670e8f85173e0e483581520d667f02", "c56da136b8d62125009a131f6dc21fcd0dd6a559", "3b20082bd64d8af4041611434ef23fdef57616a8", "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "6f2819172d270ceb568bf7586d812b298266bcbf", "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "f23114073e0e513b1c1c55e8777bda503721718c", "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "d68a6bf394f8f6440426a84d8494e83d08aa1535", "19d4855f064f0d53cb851e9342025bd8503922e2", "5fdbebf417da2427744d2c60f413b5375e68993e", "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "4be211df856e2fc0d999598ba6561a22e65997b6", "965bf5726891428a2af6922ead4779c0a1331392", "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "108961c7366e36825ffed94ac9eab603e05b6bc6", "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "ab781f035720d991e244adb35f1d04e671af1999", "e41876930495ee879b0d1cda9a85f82102884b17", "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "7d98e98e64f2622d321bd3b410a4636fce39be50", "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "2a2232f2972191a0606d588aa4f13c9f27d1972d", "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "029cabb6f3f6a824590e735feb1d8557646db8a6", "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "03fd6774f57aaed9320060e4527121c59e9eca2b", "46c82cfadd9f885f5480b2d7155f0985daf949fc", "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "dccd5d00f88cdb59b0680baa86024f14331c38d6", "0a81e5c6429a85564ba742726850109ae07dd24c", "c8ba499e8d8daa32637885f03137f41d61023bf9", "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "cd1a636c1261208084cb8395c877c7ca22c76df1", "101c7305f141145c4d168dfa40284e0ad86a0d9b", "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "bb1df923eff58177f20b2cf46318a31aa7e89143", "121503705689f46546cade78ff62963574b4750b", "af7310abcbac6b43ffa850be2315282185b933bc", "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "48922520e6de0954a83f26977b2b50b7fbfdcf61", "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "0083a395fded81d562317d83e194dfbc47b5c04a", "95a1d94880f3466e62cb5e0947e041aba6d02456", "c37fe13f94dfc2f3494a35a63336689ce4392135", "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "30654fd93360a339e271d4b194b7f7463b2c5dac", "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "02d9d571980ec2f8d28011a5ad33820d3585755b", "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "282cee05661a690aa525f21b47c6ee39fb26a7c2", "e8ffef3d4d74720e766e506e175e533bdc8ee705", "1daf971c087f5e21dbae831231377cbe9bb2f188", "182c91f619e0b7a8cd2120139d530750aa0b85a7", "886674a5abae3c9bfd262006c67d4ba078e1462b", "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "013d5325e1225456de011bee0f45c5bfec872e9d", "3b304585d5af0afe98a85d6e0559315fbf3a7807", "99df9e95b3f3d187636918a65277baf7c98cbfc5", "832246357de85108cb910e773c203997448c570a", "9974ff5429696e815a3c1532577ff4c233b22490", "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "9452d029f5d140aece06619b6fd8e47b070cacd1", "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "062723093e77d942471a77f1a89614d05216a275", "81763bb718dc6630be210c056a250b1c2ed57fd7", "62ee1385725c508cdb64a8318d2e07bddf8b5832", "309e17462a9cd4ebd540b4218600e97b688c3779", "8043117df3fab932c715f2361f1a8bf0f45755dc", "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "0ab65b963f8b71e31bfec188056023147f75303e", "3e64282d305b77b39b02e820cfcba2f1e5544793", "2c03ba51f7404d8d9869a997a00f6af801149ac1", "a228ba020bd321d29ab24485cb2988a62707fd64", "895c5a6f2915d95d518e78d6a0224dad7399492b", "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "bf3aae7293f664d512c0904916d804327af22f52", "428f087b10141cbd4d827b1df734ace473548e87", "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "9bd9050c53d90dfa86cb22501812afe6fc897406", "0de46e6768acaa71745406d646573644b975dc62", "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "1d7029a974f950de61f3980704956b43f1a06e7b", "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "23a44db65ff4913289a3a93fb8c85072ae9d007e", "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "e84973cf0337de616f394df06087989a75a0df3e", "f79c4bf83371627ba139b61eb427463b93cd687b", "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "2d5589ad3a228670eac7251b6508cb326793051c", "f678f31e7bb5eda34098b0fed608cfad5e372509", "084bd219dd239dc4c9a02621a5333d3bc1446566", "df0e280cae018cebd5b16ad701ad101265c369fa", "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "392589e60f203b19b1d314ff1005182a668c594b", "66586f1d755362f485f25acfc60153c2a5ed1533", "549c719c4429812dff4d02753d2db11dd490b2ae", "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "2851efe83633a1c80272ba2c9302a1333dd32523", "094f5e36dae2602e179f2c1d95a616df3dbe967f", "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "f92ceb6875f614bbccb25e4b11ca55353773890f", "da53cd51d9d4d047f10144233ad925133ad43207", "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "2114b25727a21275e88e30dad0423752f6047dae", "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "c55f15ffdd01c526624626ea94ae90263ee86fee", "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "838420cebfdad4e93221f8fe203c09155983141a", "748305f0b2d686d51ccf893207697d6cfb39e890", "15c820aea3dba1902485f34f635e13f69204e501", "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "5c7964b57fcac612dc18e27e18f98eeba9404707", "b7efecec654acd8831d045e728b54356c697c9c8", "cc6983184d5a1ae077deab222ecd381cd44410ea", "eacb95e81156c48f4ff7470567ba205225170fa7", "263ab80451b236c27675ca4c6aff5c72fef77f4b", "51a09f0305a0cdd48ccaac070363c71bc2c49938", "14b311b848b51b7b5345573a289b1cedcbb4d581", "f6e00d6430cbbaa64789d826d093f7f3e323b082", "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "24ff832171cb774087a614152c21f54589bf7523", "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "99c37dba394b100ba8f3d895c0ee0e57d5852347", "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "f6b649023e49a341f042f9a17b2f923db58ccf35", "c4fe488c0cff49e1ed6de1425ede27900005fd87", "5250f319cae32437489bb97b2ed9a1dc962d4d39", "1c8897aaac36c9f96b86b4e6d412e91512429cde", "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "e70360dec906df73e7de268b801b51296f55471e", "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "3d61a6834371ef08f25f5eeea615808380e109e2", "0678a8abea82793993cd89383319da75f6dc4be3", "46a1172c784c3741e79781ef2353209b08dbea67", "12017d411ad5db2fce87eee19540ba22dc87bdf1", "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "4acf31294e940d85a4eea56c244205e3a66d8b8e", "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "057f5ffda59a3412f1e62159e96f84faa352628e", "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "250466b42c0b690724c4d2c7ff61ecae489be356", "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "a887937b813f267507203d4faef1013043cf09d0", "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "4404a99e2f6db3e703609168a3595e0fbdeabc38", "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "e478c322de923337627487d8a688f5922b45b2ff", "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "7c594c0b9482624745dd95767f3eebde1ee7f043", "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "032bde9da87439c781a6c81ba7933985ed95d88e", "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "d47d72afc590f5b96117a5227d45157135da21ad", "8b06d12795c1714960cc0db17687777aad28ab42", "05db46c7745c360fa5938ee204c81efdcc84c1da", "bb6548b43c737dca642298c46ec4648a403e1b11", "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "7dfc24b8e21fa7a397d5557574efedd218864d10", "d7a042c4db29e233861bc556fd763ca608ae078c", "50953b9a15aca6ef3351e613e7215abdcae1435e", "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "397bfda299f789f0c84bf284a868b9ca005c7f84", "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "a13dac9255dd738932f463a8f462c11419f072db", "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "050e5b4043009e54dff9319877fe947885db2d6e", "fab39542b04d5aac48349e456cdb300e7786ee6b", "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "b705ca751a947e3b761e2305b41891051525d9df", "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "0ae427cc645162f1a110ffce7b94cd9400138527", "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "cd7551569c460c19139377a90d554b57b506b831", "812e11fc86e5d183337257978e5a0f26b5668218", "fe683e48f373fa14c07851966474d15588b8c28b", "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "2ba540ca70c7dee81e13768792aa7571952987f6", "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "ddb561cbdc1e8d76e88679c115f277effde4db8d", "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "115e8a4f76a57b893c985ea4f7530b90d071679c", "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "92f2639dbd9f7c4284b7012809e4d2c407834774", "33e845e18acbf54ad2e031efe68493d07d7deb61", "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "448ff117f216bba80080ad56851d7dc6bb5e22bd", "4c454fda214e00c9cba4bb759da78949a4130873", "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "39223c8e64221062cd992e7e89e6db858014eac1", "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "750896331f6d74495037f6c8f6c821b0c50ee44e", "778b73effb652ab54c17de194e7ed38f58e5b5be", "d250e57f6b7e06bb1dac41c8b89700086a85999e", "cb05bb5397e077aff7bac3ee26eaabed2779e914", "f99a2beca1e85015af62f728b70dc48be93a3c29", "de35ea60396629b2d1ceb73df56a97ed21012680", "eecc4466056761ba6d4909cfd7928de90af140d7", "6a64ac585cf7150253c690ed62bc92fb2894a347", "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "e083d6f5084d8a8582af797999185c4e0d2c841a", "19339e816d8006ad462868b01812b03eb463ead1", "446154e26359e7f8fd2f314cca44c1e20da02ac3", "899e7ff67aa2630edc8776758cc5d65823f099c1", "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "139ab79a0aae5d4346f907b7b29288d09ef373fa", "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "94780b00dc2807ec507ae91500b622ec7a8ddb12", "fa496716a5b8520e94a0126b5baa4f636623c997", "d4efe5177a932305d0ac742b280da1e97a254f0c", "47a7b12776de302f5cf34df21eced1bff593dbcf", "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "c2cb4da617168c76c4560a01de8b5e68b5250749", "87d5b53580ca5f77ccc3ff157337ef3456308943", "eb2333a759788903848c49111a03c4c00d188e70", "cda356a979c0a57e1051830551f657db249e3c45", "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "335be9250ba4a69a303abc3e202fb7c9c8551f49", "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "8eaade06b75dac977574d05ce1058b86df059d47", "16161051ee13dd3d836a39a280df822bf6442c84", "1504eae5487e1e062fef96e1e424de5d3a5a3858", "b9b21cfa7de32677151571ab44d27d2d246b7a03", "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "149f3cc167b046dc790b1f4f1c48eeb31e898403", "a31a01827d809673a641877f21759633936d7da5", "1a1654456decd116f4ca84c98006dfda0a8a3134", "8f76401847d3e3f0331bab24b17f76953be66220", "7bf7483f96a5f08a0c762831f7214b4caf451d24", "55f7699e768457d40c5232448cdca4503db2821b", "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "06ca83cc7def5b0d582f4d933057c4370a6345d7", "2e1f0b522014c942197e51b556eeb48b6ad66cda", "03735225d5f956180cc252af3613796e75930f1a", "25858dc59faf2630bf0eefe23297ce262370cff0", "d994cae1195536ed1298d9289f014e4a81b88ca7", "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "4a6049e1926cc8e574301cfb229599cdc0a64e62", "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "5950512e21114236208b9eaeebc9a09735e367a6", "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "c7780cff11068fecb322a43e459c56267a88aee7", "504d79d7fba48645ef84a90b94a431f8a7e0612d", "98bf42055160845e6f8f3c022298e3b8e4e55f80", "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "41be021880a916305c82199ddc2298eb271f6590", "19b6b0649cc669791c799c52fc56bdc556f06916", "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "4ff486644be5e451784d6ae83f8073c8320fa974", "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "99f95595c45bd7a4fe2cffff07850754955e5e2a", "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "732e4016225280b485c557a119ec50cffb8fee98", "ceee9ba72a021ae5604db04a93fdcff421d60216", "73e3acf30ecce3771557aa083d5a83308049582b", "c4a0e89793961dc486964802df55ae73fbba60ee", "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "2622d2467f19bc60427f8ea495515e7da82316c9", "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "c96f012f4915398259e7e223810c57898b5e1a76", "488fff23542ff397cdb1ced64db2c96320afc560", "537afabc561a2efa79a903f4859ca63e6592f340", "3b483c986b973856e016f761ec312c1a339766a5", "e9d82ae7530e605c03440d362d78663c4af0edb6", "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "34ccebc467bad0fc179543bde7d1bc04bed2397c", "71f7be73a575f3689b0137446289d02462e1c5b0", "33ba256d59aefe27735a30b51caf0554e5e3a1df", "4efd04f737ff386edd943f2bd63499d1963f1a6f", "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "72d7e11b30767f4f5993d794fc040328b23868b5", "419550e7b918c64785f087b17f7fde6c94bc6d4e", "a2a032f907c19256863e1e011b834eb1f8057a4c", "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "ccd3dcbccae7d903608530bddf6381db8e723a7d", "3dcf65754c6ea49ece027964348f4ee792dad758", "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "5a364ecb2d10b637c63b885d27eb372390232277", "1114c2aba97a5782a48341817811df2438d0fdbf", "8379f3cea577e393156c75f4c06560ba2472da94", "3b60af814574ebe389856e9f7008bb83b0539abc", "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "8211c974ec152e79235cb57a03ba2971e913508f", "474d84a1cc5bf2be1004f07732c470b240049780", "92990ef7866ca906b595e2841e340725fb3ff8da", "eb69f89588e9538194750f12bf8c8df6d5301f3b", "87c2e267fadac9d4f4f694125eb86eaaf7121797", "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "68e596972d99635b5431357630512f1828ce90b4", "6e7a9779dee831658e973ee26ac8bfed2d6da033", "08eaa845a72a2b78e08e58592d8785942fced649", "420c46d7cafcb841309f02ad04cf51cb1f190a48", "2603a85b305d041bf749934fe538315ecbc300c2", "c23734cf46af7c299b72089e5cbc0e50b833e434", "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "a5fa91dbc72f200970e70debe88375b71ddef40b", "605f5d08199b3202dd180590aef1a1648c0e309e", "025ceb084150433087cd9d3e6725ac439115e526", "06e2178d029b78801c004e512d923f7ce7f9e8eb", "d2e8efaa0d095c22455fe4eab260f94994bfb116", "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "10d3f77225eca1d576268ba84ed83f230a5e47c4", "a01c7eec51fa901b2526325f563480c152c58ee5", "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "2774b83247331d10a87195290f8e9aa096640dde", "d1ff495047a47ea686cde7806cc04b377ef9984f", "8448b75afec91e618ab1c2dade7d5500f6ae4289", "5907ca4b91c8e8d846871e045bce9a4ca851053a", "bad2df94fa771869fa35bd11a1a7ab2e3f6d1da3", "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "3fe3d6ff7e5320f4395571131708ecaef6ef4550", "632b24ddd42fda4aebc5a8af3ec44f7fd3ecdc6c", "e3a6e9ddbbfc4c5160082338d46808cea839848a", "a60907b7ee346b567972074e3e03c82f64d7ea30", "d8c9ce0bd5e4b6d1465402a760845e23af5ac259", "2dbde64ca75e7986a0fa6181b6940263bcd70684", "3f204a413d9c8c16f146c306c8d96b91839fed0c", "40217a8c60e0a7d1735d4f631171aa6ed146e719", "2201f187a7483982c2e8e2585ad9907c5e66671d", "285472527c5dc1c620d9644849e7519766c2d655", "30f62b05b9a69d671be4112d47eba90028a26c71", "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "2cb5db4df50921d276ad9e7186119a276324e465", "102e374347698fe5404e1d83f441630b1abf62d9", "1862cb5728990f189fa91c67028f6d77b5ac94f6", "d06c8e3c266fbae4026d122ec9bd6c911fcdf51d", "d6639263381c929ebc579a541045a85aa21680f8", "7177649ece5506b315cb73c36098baac1681b8d2", "cad52d74c1a21043f851ae14c924ac689e197d1f", "b599f323ee17f12bf251aba928b19a09bfbb13bb", "970681bbc2ee19a1e9f6c765ebf86003fbdc3471", "8d4f0517eae232913bf27f516101a75da3249d15", "83fd5c23204147844a0528c21e645b757edd7af9", "8983485996d5d9d162e70d66399047c5d01ac451", "1fef53b07c6c625545fc071c7386d41f87925675", "59c21f5a24d0b408d528054b016915236bb85bf2", "b51e3d59d1bcbc023f39cec233f38510819a2cf9", "2a8b1bcd397d987d7bb0963ec7e472c3ee6ebfa4", "b104c8ef6735eba1d29f50c99bbbf99d33fc8dc2", "5480aee1d01700bb98f5a0e06dd15bf36a4e45ea", "be6bd94322dd0ecfc8ea99eb7f40a9a14dd3471f", "493f7f6db3160b3e011a96db8add618bcda39616", "887745c282edf9af40d38425d5fdc9b3fe139c08", "122f52fadd4854cf6c9287013520eced3c91e71a", "fe961cbe4be0a35becd2d722f9f364ec3c26bd34", "8a8127a06f432982bfb0150df3212f379b36840b", "44c278cbecd6c1123bfa5df92e0bda156895fa48", "9d6e5c1fef16f9a9ace7ce90e6a547905be6b25d", "ed82f10e5bfe1825b9fa5379a1d0017b96fa1ebf", "a3e66902fd95b757edca4268c8a29258ae9b15cb", "3f88ea8cf2eade325b0f32832561483185db5c10", "b2a0e5873c1a8f9a53a199eecae4bdf505816ecb", "8e60be8a25cc4a28220dd3092489baa84be903da", "39b22bcbd452d5fea02a9ee63a56c16400af2b83", "24959d1a9c9faf29238163b6bcaf523e2b05a053", "b239a756f22201c2780e46754d06a82f108c1d03", "2b64a8c1f584389b611198d47a750f5d74234426", "6eddea1d991e81c1c3024a6cea422bc59b10a1dc", "01e27c91c7cef926389f913d12410725e7dd35ab", "57dc55edade7074f0b32db02939c00f4da8fe3a6", "90eb66e75381cce7146b3953a2ae479a7beec539", "fd4ac1da699885f71970588f84316589b7d8317b", "622785eb1f954ba028aa45671ded10a79aa139e5", "d350a9390f0818703f886138da27bf8967fe8f51", "a6e75b4ccc793a58ef0f6dbe990633f7658c7241", "a735c6330430c0ff0752d117c54281b1396b16bf", "55cfc3c08000f9d21879582c6296f2a864b657e8", "12a56100a958c12049ad7f5e98c824e07d309999", "57ebeff9273dea933e2a75c306849baf43081a8c", "87bee0e68dfc86b714f0107860d600fffdaf7996", "261a80216dda39b127d2b7497c068ec7e0fdf183", "f94f366ce14555cf0d5d34248f9467c18241c3ee", "9282239846d79a29392aa71fc24880651826af72", "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "3b7a6291712f9796a3add49a3f65f0acaa3e1335", "0d781b943bff6a3b62a79e2c8daf7f4d4d6431ad", "010c6081a66990ce7754f12dd1b37fc677a7751d", "e896389891ba84af58a8c279cf8ab5de3e9320ee", "ff3a8474a77f9a69bc2c82e087f065d29d0f2114", "6c26744149ae08af8bc84137633495fa948b41ad", "849f891973ad2b6c6f70d7d43d9ac5805f1a1a5b", "0ef20991e0ecc7dc3f6e0e5fd6ee93c4970206f3", "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "102b27922e9bd56667303f986404f0e1243b68ab", "70c3f7ade95e5f79adc02ca6171b4194ec347427", "529baf1a79cca813f8c9966ceaa9b3e42748c058", "bcb99d5150d792001a7d33031a3bd1b77bea706b", "d3367c9a4825295301225a05a190c0b7ed62736e", "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "587b8c147c6253878128ddacf6e5faf8272842a4", "69737cf25979bf8d8886f63c44ef5b7c95a066e7", "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "397257783ccc8cace5b67cc71e0c73034d559a4f", "038ce930a02d38fb30d15aac654ec95640fe5cb0", "21bd60919e2e182a29af455353141ba4907b1b41", "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "96faccdddef887673d6007fed8ff2574580cae1f", "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "3b84d074b8622fac125f85ab55b63e876fed4628", "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "7ed5036a7c1eb2ea08fa2a12a446a9ccb6171c92", "2dd902bb32bc106d828e1d0734477fed84df2ff0", "c2474202d56bb80663e7bece5924245978425fc1", "228558a2a38a6937e3c7b1775144fea290d65d6c", "4289f5d6255955a7a97e85b3d16e29accb52d96d", "050a3346e44ca720a54afbf57d56b1ee45ffbe49", "08f1e9e14775757298afd9039f46ec56e80677f9", "f33bd953d2df0a5305fc8a93a37ff754459a906c", "da386f486dd2f12281aabb368543e62459f1e79a", "2fe86e9c115562df2114eeedc7db1aece07a3638", "562f7555e5cb79ce0fe834c4613264d8378dd007", "113c22eed8383c74fe6b218743395532e2897e71", "8bbd40558a99e33fac18f6736b8fe99f4a97d9b1", "4f7967158b257e86d66bdabfdc556c697d917d24", "ef26b36eb5966364c71d4fed135fe68f891127e5", "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "982fcead58be419e4f34df6e806204674a4bc579", "25695abfe51209798f3b68fb42cfad7a96356f1f", "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "96ba65bffdddef7c7737c0f42ff4299e95cd85c2", "9d57c4036a0e5f1349cd11bc342ac515307b6720", "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "6144af24ce06af7d8cdd606e79cea5d6e73e2135", "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0", "2d072cd43de8d17ce3198fae4469c498f97c6277", "6754c98ba73651f69525c770fb0705a1fae78eb5", "3ed46ef5344927a30d71089ae203c9a9e35e4977", "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "29fd98f096fc9d507cd5ee7d692600b1feaf7ed1", "83011670e083dd52484578f8b6b3b4ccde3237ec", "50e04ffed39d130720cf9310f72ebc037f8f6392", "3cb64217ca2127445270000141cfa2959c84d9e7", "5ed5e534c8defd683909200c1dc31692942b7b5f", "f79e4ba09402adab54d2efadd1c4bfe4e20c5da5", "eb9867f5efc98d3203ce1037f9a8814b0d15d0aa", "26e570049aaedcfa420fc8c7b761bc70a195657c", "a611c978e05d7feab01fb8a37737996ad6e88bd9", "8c50869b745fc094a4fb1b27861934c3c14d7199", "ca44a838da4187617dca9f6249d8c4b604661ec7", "64bb909c4103d2078392377ef8e4205346437c61", "b1534888673e6119f324082246016d28eba249aa", "081189493ca339ca49b1913a12122af8bb431984", "17cf838720f7892dbe567129dcf3f7a982e0b56e", "dcf71245addaf66a868221041aabe23c0a074312", "ce56be1acffda599dec6cc2af2b35600488846c9", "77fbbf0c5729f97fcdbfdc507deee3d388cd4889", "6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7", "3463f12ad434d256cd5f94c1c1bfd2dd6df36947", "3cc2a2eaaacbf96c6b9abc1cf91bfefabf6fcfdd", "7ac2fc0fcda50c358cc812007bd99f370b779324", "1ef4815f41fa3a9217a8a8af12cc385f6ed137e1", "28f7d3d894705a92cac9b08d22701fadb6472676", "a8035ca71af8cc68b3e0ac9190a89fed50c92332", "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "68021c333559ab95ca10e0dbbcc8a4840c31e157", "ef4ecb76413a05c96eac4c743d2c2a3886f2ae07", "56dca23481de9119aa21f9044efd7db09f618704", "ecd67d0e8eb407b1edb07511578a68995efdfea8", "171ca25bc2cdfc79cad63933bcdd420d35a541ab", "d91fd82332a0db1bb4a8ac563f406098cfe9c4bb", "7f2a4cd506fe84dee26c0fb41848cb219305173f", "4014d74e8f5ea4d76c2c1add81d0c88d6e342478", "e4abc40f79f86dbc06f5af1df314c67681dedc51", "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "56ae6d94fc6097ec4ca861f0daa87941d1c10b70", "5ae970294aaba5e0225122552c019eb56f20af74", "d69271c7b77bc3a06882884c21aa1b609b3f76cc", "0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a", "d9b4b49378fcd77dcd5e755975b99ed4c7962f17", "813c93c54c19fd3ef850728e6d4a31d279d26021", "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "55aafdef9d9798611ade1a387d1e4689f2975e51", "4eeccbbb98de4f2e992600482fd6b881ace014bb", "e73f2839fc232c03e9f027c78bc419ee15810fe8", "c5d13e42071813a0a9dd809d54268712eba7883f", "d6791b98353aa113d79f6fb96335aa6c7ea3b759", "e569f4bd41895028c4c009e5b46b935056188e91", "b3067deb3110e3a7566c032ac0c1e1608668ef3d", "b51d11fa400d66b9f9d903a60c4ebe03fd77c8f2", "b3c60b642a1c64699ed069e3740a0edeabf1922c", "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "04f56dc5abee683b1e00cbb493d031d303c815fd", "bd66dc891270d858de3adf97d42ed714860ae94d", "a094e52771baabe4ab37ef7853f9a4f534227457", "90c4f15f1203a3a8a5bf307f8641ba54172ead30", "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "9a4c45e5c6e4f616771a7325629d167a38508691", "fdcca639b96aa982ae67544f58c7e60be9d0748e", "9f1a854d574d0bd14786c41247db272be6062581", "40f127fa4459a69a9a21884ee93d286e99b54c5f", "fb0f5e06048c0274c2a4056e353fa31f5790e381", "9367513f330964b288a4a99ce8265b2960c4cf4e", "49fdafef327069516d887d8e69b5e96c983c3dd0", "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "50236de1791a009dc77d7266c412469a22437b4b", "4ae291b070ad7940b3c9d3cb10e8c05955c9e269", "14bca107bb25c4dce89210049bf39ecd55f18568", "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "4a0f98d7dbc31497106d4f652968c708f7da6692", "0acf23485ded5cb9cd249d1e4972119239227ddb", "dad7b8be074d7ea6c3f970bd18884d496cbb0f91", "13fd25a18ab3faebcd6a4ab95f4cc814fcda337a", "7643861bb492bf303b25d0306462f8fb7dc29878", "36486944b4feeb88c0499fecd253c5a53034a23f", "bb3698df3b4f40c0b7cc523d26ffb8c5276d5a1c", "3157be811685c93d0cef7fa4c489efea581f9b8e", "22a10d8d2a2cb9055557a3b335d6706100890afb", "506c2fbfa9d16037d50d650547ad3366bb1e1cde", "d861c658db2fd03558f44c265c328b53e492383a", "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "bb83d5c7c17832d1eef14aa5d303d9dd65748956", "c34026ede413e806430b6e18151c5618e8f01fbb", "e957d0673af7454dbf0a14813201b0e2570577e9", "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "123a9768700433c405bd7266f4c57ca8222e7fe1", "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "a00fdf49e5e0a73eb24345cb25a0bd1383a10021", "2f489bd9bfb61a7d7165a2f05c03377a00072477", "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "82cd5a5fec8a27887a35f1ecec684ec55eefad73", "c71552fb2a18458a5607c609b96433004ada1131", "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "2ea247029ac1b8ded60023a369e8d259a8637bd2", "aa5eeb1ab953411e915ea5e6298474dbebfa6fb6", "5334ac0a6438483890d5eef64f6db93f44aacdf4", "7e00fb79576fe213853aeea39a6bc51df9fdca16", "9326d1390e8601e2efc3c4032152844483038f3f", "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "dae9d0a9b77366f0cd52e38847e47691ee97bc1f", "51d048b92f6680aca4a8adf07deb380c0916c808", "83fd2d2d5ad6e4e153672c9b6d1a3785f754b60e", "e577484e5c3ecc6f073faf124468c8ae2f827a0f", "62f0d8446adee6a5e8102053a63a61af07ac4098", "6a931e7b7475635f089dd33e8d9a2899ae963804", "3b64b8be33887e77e6def4c385985e43e2c15eea", "48729e4de8aa478ee5eeeb08a72a446b0f5367d5", "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "3b37ef260aa1cdb43fce5ce76fdb70b4cb0dcc6c", "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "243e9d490fe98d139003bb8dc95683b366866c57", "10ab1b48b2a55ec9e2920a5397febd84906a7769", "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "9c373438285101d47ab9332cdb0df6534e3b93d1", "a4898f55f12e6393b1c078803909ea715bf71730", "18a013e1c72cf579d1b215f22d298521047e98a4", "74875368649f52f74bfc4355689b85a724c3db47", "3acb6b3e3f09f528c88d5dd765fee6131de931ea", "81e366ed1834a8d01c4457eccae4d57d169cb932", "eb48170a6e1e020f002a6a0a808c1934d5c760b8", "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "1aa766bbd49bac8484e2545c20788d0f86e73ec2", "f345a05353f5784b64eefb7785661cc0be519521", "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "142dcfc3c62b1f30a13f1f49c608be3e62033042", "a2136b13aa0bb4ea4e7fa99a6c657b11dffff563", "b7461aac36fc0b8a24ecadf6c5b5caf54f2aa2f7", "e328d19027297ac796aae2470e438fe0bd334449", "64ba203c8cfc631d5f3f20419880523155fbeeb2", "61971f8e6fff5b35faed610d02ad14ccfc186c70", "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "1b150248d856f95da8316da868532a4286b9d58e", "86c5478f21c4a9f9de71b5ffa90f2a483ba5c497", "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "60c97065418fbd30e55d79b764c7c3961106ac3d", "03f98c175b4230960ac347b1100fbfc10c100d0c", "55c4efc082a8410b528af7325de8148b80cf41e3", "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "b3465625ada74af38feca2d5067c5607b7d7fe16", "c20b2d365186f4471950fbe1ef8755de90efc000", "c175f1666f3444e407660c5935a05b2a53f346f0", "1f9b2f70c24a567207752989c5bd4907442a9d0f", "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "2742a61d32053761bcc14bd6c32365bfcdbefe35", "b9812f16ee3303ca0e32f9cfe38474fe69812624", "b73d9e1af36aabb81353f29c40ecdcbdf731dbed", "b3cb117f2424209d5997d5745772dfadd02dc80d", "1610d2d4947c03a89c0fda506a74ba1ae2bc54c2", "fe9d9c298d2e0c72408668fcff996e4bf58cc6c6", "993374c1c9d58a3dec28160188ff6ac1227d02f5", "24bf94f8090daf9bda56d54e42009067839b20df", "152683f3ac99f829b476ea1b1b976dec6e17b911", "a255a54b8758050ea1632bf5a88a201cd72656e1", "18c6c92c39c8a5a2bb8b5673f339d3c26b8dcaae", "565590af15af3d02f0b592b2e201e36708e4fe50", "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "9628af8b8496a2e69c8eb8a33e2db2db62551e9c", "68f61154a0080c4aae9322110c8827978f01ac2e", "5632ba72b2652df3b648b2ee698233e76a4eee65", "06b6606e47e071bbe070093c78120207578126fd", "aa127e6b2dc0aaccfb85e93e8b557f83ebee816b", "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "74325f3d9aea3a810fe4eab8863d1a48c099de11", "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "fc970d7694b1d2438dd101a146d2e4f29087963e", "086655743dc5f16563c012ad43b2f9d06771d9c0", "8633732d9f787f8497c2696309c7d70176995c15", "064b797aa1da2000640e437cacb97256444dee82", "44f433c5db087664cd5fae273763a2d2baf03bfd", "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "1a6c9ef99bf0ab9835a91fe5f1760d98a0606243", "440b94b1624ca516b07e72ea8b3488072adc5e26", "93dd4e512cd7647aecbfc0cd4767adf5d9289c3d", "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "e57014b4106dd1355e69a0f60bb533615a705606", "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "f3495bf7f7d827c72cc4e7a4850eaf54a998db11", "33f7e78950455c37236b31a6318194cfb2c302a4", "ecd6506cc3195620822e1f103b2faa96c1e8c0fc", "637b31157386efbde61505365c0720545248fbae", "21765df4c0224afcc25eb780bef654cbe6f0bc3a", "b06f2949eb748331c40a8b2381517fa09757ad17", "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "25c108a56e4cb757b62911639a40e9caf07f1b4f", "7811fd02bb77e2f6644f34c0f445d096199c3c2f", "ddb1a392582c624c9116cb00eac01aba220fad84", "1a849b694f2d68c3536ed849ed78c82e979d64d5", "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "2dc34d0e991c5df59b9c0a6022ece9430a913bb5", "e03f69bad7e6537794a50a99da807c9df4ff5186", "2ce84465b9759166effc7302c2f5339766cc523d", "230c4a30f439700355b268e5f57d15851bcbf41f", "32fbd7e8e9fa2387cbd6d23b9925fe7c2072cb92", "405ff96909968c6de716c9a650c8f27aa5b336b0", "6cfc337069868568148f65732c52cbcef963f79d", "171d8a39b9e3d21231004f7008397d5056ff23af", "3ea0555aeef50012c87289dc1b18241ec1a858f1", "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "690f5d35489c63ec7309b9e4d77c929815065257", "9ab126760f68071a78cabe006cf92995d6427025", "43776d1bfa531e66d5e9826ff5529345b792def7", "be57d2aaab615ec8bc1dd2dba8bee41a4d038b85", "4a1d640f5e25bb60bb2347d36009718249ce9230", "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "383e64d9ef1fca9de677ac82486b4df42e96e861", "de162d4b8450bf2b80f672478f987f304b7e6ae4", "26949c1ba7f55f0c389000aa234238bf01a32d3b", "66330846a03dcc10f36b6db9adf3b4d32e7a3127", "ea0785c2d4ac8f8d6415cffdb83547bfc4e7adba", "8bc190e3782a20f49b7346ecc80099edd89bc257", "40b0fced8bc45f548ca7f79922e62478d2043220", "fc0f5859a111fb17e6dcf6ba63dd7b751721ca61", "7e1d2befac6946112cd80652d0c2b962e3c0d342", "4786638ffb3b2fb385cec80720cc6e7c3588b773", "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "a5ae44070857aa00e54ea80394a04fda412b335c", "47fdbd64edd7d348713253cf362a9c21f98e4296", "c23153aade9be0c941390909c5d1aad8924821db", "31dd6bafd6e7c6095eb8d0591abac3b0106a75e3", "60106015783983454bf5925af9d9c1a5f4b701f0", "c30982d6d9bbe470a760c168002ed9d66e1718a2", "13b1b18b9cfa6c8c44addb9a81fe10b0e89db32a", "5778d49c8d8d127351eee35047b8d0dc90defe85", "f6511d8156058737ec5354c66ef6fdcf035d714d", "2969f822b118637af29d8a3a0811ede2751897b5", "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "104863192ffb35e285f7546d1ac842e001ac9084", "7d2dd37e443794f96c4c7b48322503bb4e702984", "7c1e1c767f7911a390d49bed4f73952df8445936", "7f703613149b190ea3bb0e3c803844895419846b", "d22b378fb4ef241d8d210202893518d08e0bb213", "32dfd4545c87d9820cc92ca912c7d490794a81d6", "c61686b6fead7cd04f71ca29caba25b387498965", "45f5ebf76cb908e805662d2d3be7a57d4324a391", "2e5091b5a73325ca52cfd56a6e277a1ddc27d147", "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "3ed2ebfd783298a9a2e412529ffabdeb98bd552d", "bbc8ccd3f62615e3c0ce2c3aee5e4a223d215bbd", "256b46b12ab47283e6ada05fad6a2b501de35323", "653878a26cb31bb444539e3d4db11ec7e59dd00e", "a1f1120653bb1bd8bd4bc9616f85fdc97f8ce892", "3377d56732c432bf42d6627b0fa25ff91286548c", "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "b0c512fcfb7bd6c500429cbda963e28850f2e948", "4e7f0dfc390f88623c825fe702da45b994342011", "fb0774049f2f34be194592822c74e2f2e603dea8", "9285f4a6a06e975bde3ae3267fccd971d4fff98a", "762311d26be8c774f2ad0ae74e3f12458662dd91", "19c0069f075b5b2d8ac48ad28a7409179bd08b86", "ea78ab987af09a65b9bb30b3afdd82bb2468f101", "08cb294a08365e36dd7ed4167b1fd04f847651a9", "046770df59c49c7ca9a1a4c268176ede2aa89e37", "6f81178c6f042f5e0b7dc226c1509596dbff63f0", "73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2", "0b9db62b26b811e8c24eb9edc37901a4b79a897f", "524c25217a6f1ed17f47871e947a5581d775fa56", "744c22e95eaceabb031589ba808bf2e9f24b04c7", "93dcea2419ca95b96a47e541748c46220d289d77", "3b8c830b200f1df8ef705de37cbfe83945a3d307", "bfab7043e206f428f98be47ecc02d506be1148d7", "8d712cef3a5a8a7b1619fb841a191bebc2a17f15", "32c20afb5c91ed7cdbafb76408c3a62b38dd9160", "ed273b5434013dcdb9029c1a9f1718da494a23a2", "dfb8a04a80d4b0794c0679d797cb90ec101e162c", "7a81967598c2c0b3b3771c1af943efb1defd4482", "559645d2447004355c83737a19c9a811b45780f1", "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "27812db1d2f68611cc284d65d11818082e572008", "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "0c75c7c54eec85e962b1720755381cdca3f57dfb", "c3ae4a4c9a9528791e36b64fea8d02b2fced7955", "e287ff7997297ce1197359ed0fb2a0bd381638c9", "fc8990088e0f1f017540900bc3f5a4996192ff05", "66425ac80e8c5995f9a680ae8b0f077893d6713b", "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "6da711d07b63c9f24d143ca3991070736baeb412", "5445e5fe5e42698413cfaf90f8c52009f19539ff", "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "64ec02e1056de4b400f9547ce56e69ba8393e2ca", "214072c84378802a0a0fde0b93ffb17bc04f3759", "92115b620c7f653c847f43b6c4ff0470c8e55dab", "14ce7635ff18318e7094417d0f92acbec6669f1c", "22ccd537857aca1ee4b961f081f07c58d42a7f32", "90b11e095c807a23f517d94523a4da6ae6b12c76", "4cdae53cebaeeebc3d07cf6cd36fecb2946f3e56", "dcdece0d0ee382e2f388dcd7f5bd9721bb7354d6", "b7752ffc2273b11b0afd9a360fb83a80a14d6b7e", "87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd", "1dc6c0ad19b41e5190fc9fe50e3ae27f49f18fa2", "405d9a71350c9a13adea41f9d7f7f9274793824f", "e81b7576356c8b579e3dfa32d1edf7bfdf9c27ea", "27a299b834a18e45d73e0bf784bbb5b304c197b3", "bcd162862b6d3a56b474039b2588a8f948d59fe0", "23f18899037c77efea58cbde7b029225af7e0db9", "632441c9324cd29489cee3da773a9064a46ae26b", "4c1ce6bced30f5114f135cacf1a37b69bb709ea1", "434f1442533754b3098afd4e24abf1e3792b24db", "fd126e36337999640a0b623611b5fec8de390d46", "65f25a28629ecfe8bae42a33883a8b9ab3c7d047", "5dff253fab3740871784a8afc9613d7189a70ec9", "ef3f5a972e91d5f2f3097b0dc1fba7f2890980d0", "647b2e162e9c476728172f62463a8547d245cde3", "642417f2bb1ff98989e0a0aa855253fed1fffe04", "5b59e6b980d2447b2f3042bd811906694e4b0843", "b171f9e4245b52ff96790cf4f8d23e822c260780", "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "a0021e3bbf942a88e13b67d83db7cf52e013abfd", "27961bc8173ac84fdbecacd01e5ed6f7ed92d4bd", "64ab36d095764c48140ef5aaaf6932cc93bceec9", "d511e903a882658c9f6f930d6dd183007f508eda", "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "0b835284b8f1f45f87b0ce004a4ad2aca1d9e153", "b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4", "33688a865aa0d0fd19cb488bb5258b1203fd42d3", "e3b324101157daede3b4d16bdc9c2388e849c7d4", "4bd3de97b256b96556d19a5db71dda519934fd53", "31003ba1cf9f77ec5b7038996d2ce999fa04d0ea", "f531ce18befc03489f647560ad3e5639566b39dc", "15ee80e86e75bf1413dc38f521b9142b28fe02d1", "3f12701449a82a5e01845001afab3580b92da858", "15252b7af081761bb00535aac6bd1987391f9b79", "437642cfc8c34e445ea653929e2d183aaaeeb704", "97e569159d5658760eb00ca9cb662e6882d2ab0e", "b1546f723d11f95ee50b1db1bdce8de8de85a54f", "d904f945c1506e7b51b19c99c632ef13f340ef4c", "7dc498d45f9fcb97acee552c6f587b65d5122c35", "27846b464369095f4909f093d11ed481277c8bba", "652ec3947d3d04dda719b1f5ba7c975e567166ef", "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "a2429cc2ccbabda891cc5ae340b24ad06fcdbed5", "3726d17fd7e57c75b8b9f7f57bdec9054534be5e", "72e603083c8b1cfa09200eb333927e8ea848fbc8", "06d7ef72fae1be206070b9119fb6b61ce4699587", "58d43e32660446669ff54f29658961fe8bb6cc72", "63367972e1ada96dd47211d86ddee83f65ca1880", "d8896861126b7fd5d2ceb6fed8505a6dff83414f", "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "5aad56cfa2bac5d6635df4184047e809f8fecca2", "912a6a97af390d009773452814a401e258b77640", "d6e08345ba293565086cb282ba08b225326022fc", "c049912e3ac45b1e2bc3432db2828754a0c66057", "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "27c6cd568d0623d549439edc98f6b92528d39bfe", "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "a52d9e9daf2cb26b31bf2902f78774bd31c0dd88", "488a61e0a1c3768affdcd3c694706e5bb17ae548", "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "46551095a2cc4976d6be0165c31c37b0c5638719", "6bacd4347f67ec60a69e24ed7cc0ac8073004e6f", "b9c262838db89597a7f9c0cb937cb7d671ab4544", "3a591a9b5c6d4c62963d7374d58c1ae79e3a4039", "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "1afdedba774f6689eb07e048056f7844c9083be9", "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "2f5e057e35a97278a9d824545d7196c301072ebf", "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "614079f1a0d0938f9c30a1585f617fa278816d53", "af29ad70ab148c83e1faa8b3098396bc1cd87790", "8e92168860d8c6591a0c088573629e4d167f5947", "5b6bed112e722c0629bcce778770d1b28e42fc96", "2059d2fecfa61ddc648be61c0cbc9bc1ad8a9f5b", "496074fcbeefd88664b7bd945012ca22615d812e", "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "1989a1f9ce18d8c2a0cee3196fe6fa363aab80c2", "1c25a3c8ef3e2c4dbff337aa727d13f5eba40fb2", "8a46f8edd522fb5fc7002b2b356ac9ae3d551f10", "8cb6daba2cb1e208e809633133adfee0183b8dd2", "b73e1f50f2d6f2438c545da6703621cdcc5b3199", "2cf57aeef8c93d293506a2f7062cac924943eb67", "2e942d19333651bf6012374ea9e78d6937fd33ac", "11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0", "213a579af9e4f57f071b884aa872651372b661fd", "1dca6a54d201dd56b41a5475aaf498a207083b0e", "365f67fe670bf55dc9ccdcd6888115264b2a2c56", "3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d", "d8fbd3a16d2e2e59ce0cff98b3fd586863878dc1", "0a11b82aa207d43d1b4c0452007e9388a786be12", "1564bf0a268662df752b68bee5addc4b08868739", "f1173a4c5e3501323b37c1ae9a6d7dd8a236eab8", "f5770dd225501ff3764f9023f19a76fad28127d4", "e9d43231a403b4409633594fa6ccc518f035a135", "0f829fee12e86f980a581480a9e0cefccb59e2c5", "4e72d964c28ba909f646b4eabd7c4aa61c14885c", "ce5e50467e43e3178cbd86cfc3348e3f577c4489", "1255afbf86423c171349e874b3ac297de19f00cd", "7ebd323ddfe3b6de8368c4682db6d0db7b70df62", "e8875b317c2e0ed6fba0c908d599b3772a400bdd", "a136ccaa67f660c45d3abb8551c5ed357faf7081", "eb9bcf9e3f8856c92e7720b63b7e846df37de0c3", "9c1cdb795fd771003da4378f9a0585730d1c3784", "8fbec9105d346cd23d48536eb20c80b7c2bbbe30", "cfba667644508853844c45bfe5d0b8a2ffb756d3", "8be60114634caa0eff8566f3252cb9a1b7d5ef10", "774cbb45968607a027ae4729077734db000a1ec5", "59bece468ed98397d54865715f40af30221aa08c", "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "0d0b880e2b531c45ee8227166a489bf35a528cb9", "5be3cc1650c918da1c38690812f74573e66b1d32", "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "b85d0aef3ee2883daca2835a469f5756917e76b7", "290eeaed75693eda17ac6703f0a8364f14c24701", "14418ae9a6a8de2b428acb2c00064da129632f3e", "950171acb24bb24a871ba0d02d580c09829de372", "414fdfe5f2e4f32a59bf15062b6e524cbf970637", "cba90ec61155a233fee33b529401e65d9481213a", "d8a0d1d56b1f93e703ea0f672df9700d7a39fdd5", "0eae752f8949d97e41831e509da721ad673dfc2b", "13d6585962fd165f6e6bf5f9fda0f0d73d7128f5", "1038aa6c1f63c1de9045f10e47ed573810cb4a52", "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "45cfbc5ccb64ba73677effb221a4b22c8a2dcd5b", "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "4323929f442ae84b6f4d14b2fe294ef42d6fb67a", "606e920681b6bd2910a1cccda2403ba7e361a3a9", "b573a57b3da678631bd78f25ecdeac7cd36fa617", "4f3f08bcc36778d45dfd5c6f6b8aff070bcfe9a4", "14fee990a372bcc4cb6dc024ab7fc4ecf09dba2b", "783bb44092f45573a9fbf47d023786105dde1d83", "2c13e817232e8693ecbd7a139cfb1825a720ff96", "4d0f6d323c9fa84b8187586cc3c9e1a42e65b4f9", "4b87d095bcc944b868f8a33679914d54828db3ce", "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "4774eee5c0fbd63dd62d72777a8b06afdf03d205", "30b74c53bd7a9b364920e5074b52b3f737a71c89", "2707f0f56b63c6ac472c37d3e40388e433e752b5", "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "0f4724cc069609a9544ca7d9a429b52cfe89c182", "55c0113534c62b7f3f238210cf501b42d91cc33a", "64afeccc2c0e671e1cf6df5fc8ff1d6c8da28f1e", "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "69f097ceab54d580e7cc8eb52ee79ad2182c2686", "1e1da480ea5c4e68f2bc6e16a492da640745ebb8", "5abb23a37cadda6194709196e650980bbf5bdd89", "29cbbed59a47566851deb63602a34c08e9ad3645", "4a1eacd06dbeed8acef3e4ad68b28af3bcebda56", "3884b78a06ccfde3249c16ac450b5254d033126a", "3f85020032ae335baf57aaf65c4831b67e4030c9", "7fbee617687fb0ad9e4562a33bd2007c1c438992", "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "0c5f9f5083b9fca4dcdbc4b122099ac1f630728b", "01d3a0b5557dfaf9eb6656d52768c2e9c51e5443", "d23bf3200adece389d6e7c866ca9105d999b23fa", "1dca96fdcab180133644442df4ad78eeec1aa00b", "d1b51ceb0644fa638b5bd192f49354ef464178f4", "a3fa023d7355662d066882df8dead0cac6a8321e", "4903156f9f0edae78c24f9b9b3348a3a4d20384f", "23e2b9d1ac20e114f48850ab32b3d9136bec6826", "a640bc0faef2c0ee44074bfd17e813d9b538bd17", "cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1", "1a4b6ee6cd846ef5e3030a6ae59f026e5f50eda6", "f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d", "6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c", "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "061d303381266e1ee751f5b7551d25324c043bed", "44f18ef0800e276617e458bc21502947f35a7f94", "2e55a287328b234db16fb538eddbbc185d51582a", "b799e4a405e5f79194a4609561dc45f805f081f5", "f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb", "11cf7aa5d940d0680e287b6e7f13490a619fdf47", "c8c5944ec503744304e026284182fce26d74cd92", "45f884c4c3bcdabdca46ee0e3794ce1631b9c558", "3f15c35d4c5ed41de9f57e06849f750e43fe80b3", "877c5a3ad915c2bbb5595252d08163f34ce58957", "5a97dbd14958386aa0d969b5a926bb64cfd01b4a", "4fec8a97d6d87713c5c00f369fc1373fba4377e3", "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "68147c43ad2ddebf223bd14a7928cbe26c7f270e", "981847c0a3d667aae385276221834edbb8ebd11c", "100c452a508711c11ab643d52e54c441cf58403e", "62a6cc9e1cdd2b3d72a968a3698063efc7350310", "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "7ced78b7fba4b63803baf2547b475d0edbfe8490", "2d1f710ba593833cdb0b63880f60146504cf1dc5", "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "c780747801743a2c47512ec406c43b2073eb6587", "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "008baae7037a47f69804c2eb8438d366a6e67486", "16261e2af94e20db19bba11080636049b9919cd3", "393a62cab9e2a1cc82c1663fdbbf1aefb781c36b", "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "2e9739056c9d1fe7b37046328f00cae603f59441", "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "95deb62b82ede5c6732c5c498d3f9452866eaba7", "bd17484e0a6773a74c51c41e773e202080682b3b", "93a28e5131a762aeb888b76bcc6689e8696ab8d2", "b6f682648418422e992e3ef78a6965773550d36b", "88bf14cd272fda73e5bc8fb48102a93149792e37", "b6049a15e204327e44b6d1ee3a1148bd7e21c635", "3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a", "b29c83b6ee10857e09ac3503916ae1b129642cae", "0f4acbcaf70fb008fbf75d856ccd9dd529cad43c", "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "2031b062f4c41f43a32835430b1d55a422baa564", "0c60eebe10b56dbffe66bb3812793dd514865935", "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "e0821e6bb9efb795b4593229e4eacd6d86cef7d9", "d708ce7103a992634b1b4e87612815f03ba3ab24", "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "0b18a370e573cb1836154a9157a4e7321dfe249b", "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "b3ad5304072264ef0419b810d6ed0c69a109d5a5", "550ba177de494789e91571129fdc3f6476b1bf79", "b7a09eaadcb21bf9ab234d87c954e329518580c5", "16ee8df3c0202a2756117ab0686cffda65362a4c", "ba9cc1577393afcf8b6b34423535ce71e4eab2fd", "55402d43f501024db62e1108e5b18109d91b3e14", "54ed052738ca0f4570c74931857b3275fca9993b", "ebd28f04c2ab1e61430d309ecbf7c832173d65a5", "657411b716d181b45583d2b2b206abf7a4a2a8e1", "47096e7103a2fbb6f6ede05e996209497d41db6a", "d5ff9ea7d0531ee7ac76a27449429fe0509164bc", "2e2ad9e47e9098b78e83b2112092809195f420fb", "591f04d62f44c22d1d82c9e074b066c21b420394", "a102edaa9fd458316637ce51a0b7aba2ee651637", "6f44303f9664a4ceabd0f4bc74cb3886aad5012f", "cf2ab0e639c19877596036603a3000ce7a1deb35", "dbbf2fd0d59641bb7735f93c70e4673b80d031a6", "4500bc692662ab8e14db8e3144db9876f24e940b", "81eb804756f27d08f2d193d1074e58e1c5d263ca", "7d94103c5e3796721388200ddaf94ed6e984ab0f", "fba89dd3240f49b3e5697e3665dc949a5d7ef31a", "3b904964cf61cb8d344245939870533b955960ae", "506f744801c97f005fa04a09e4a4ae5fdabe94d7", "38cc89399dd6f5aaab1654f27ab3c9eeade12a36", "6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3", "9a27d5efc7b74ba23c07d3a45f20285998bf1577", "321dc2958e7874a3896e7df96213cd808d3b2b27", "fed58c1faf9af15e1215e47a432f84b840f42857", "f10f7f315bf48b3f545015fd5dad967aafb79abb", "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "c0d4bcbdcdfeec6ecd83da9cae578e345116efb2", "44b5430d98aa581ebae4295f9f6441f4acb891ff", "ad7889a2525c345d701b8b57e441afe8ac3370ad", "53695e2dfec6737d585dd4e53757f73d18bd5e01", "24cf9fe9045f50c732fc9c602358af89ae40a9f7", "134c740476a35444100af1b4cd52a9165f0bcb7e", "1dabb080e3e968633f4b3774f19192f8378f5b67", "41e085d52e85a224a66e6b0884f053c05f285877", "54abfe3acd987b5041878c29ec74204a11e73ad1", "02cb44528213f4d5bd38fb2dcb59002680301e8f", "37e1fc37a3ee90f24d85ad6fd3e5c51d3f5ab4fd", "16be1bcce9a9cd94c571313da26590c80fcec5b2", "3e7f54801c886ea2061650fd24fc481e39be152f", "99911a8effd2ab3af4b4ba802920f3e1720a83e6", "71de9b3b8f482863d544da0f26ac2876b4fc210a", "c03c16668426d8b069e75cb440686e12a9adbcd7", "9e5378e7b336c89735d3bb15cf67eff96f86d39a", "5b4fddc0b86deea2fc139c43ee07892ad211a2dd", "1db058654185978c5b1e12a5ceb064567d797947", "dd609e4bd83cfcdbf64fc794da73a36398076890", "1c7a050394371bcb064868dfe681ff4c29ce2101", "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "92e5708ed3b622ca1f0f6ac28ffd6e789c528cdf", "a2c97ced4981a4505a6aa7f26e1c499df98f525d", "6d4e3616d0b27957c4107ae877dc0dd4504b69ab", "ffdaa12d37c720561f74d23fc3b5d47afa268000", "bd90d371dc333aa5a1dd127dbd85670273b32fc7", "6cb9c41a30ac5127d87a4dc4fcd0809b4303b819", "57c3b64c6825f737234812e9825acc895101d61d", "0b4189d874ee67f259a1a366ac93740d500064a5", "0d29816e37e97e8fd7040ddda37e0052d2b28693", "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "1d53a898850b8d055db80ba99c59c89b080dfc4c", "fb210da5526e967a6aaaa1a4cc1134fa0976ad11", "d05825a394f11a391c8815f6b0d394cdb4cfaa95", "10f3ead41bf8de97aee9c25b345b8b7495a99aab", "b8f1d51fb48655ee38fc4634d016cffa817619ae", "474c75016daf7324cee0b354cad5f657b59c1dcf", "53ac22fff7ae3ed08565439ac30656846cac2465", "b7676adde75c6d1bcabf56c7e2f7fa484155e8a8", "62c9590d6a37a24e6ce7805a4b1fe20c8e502c5e", "6779b1ebdae5e3af812ce075611f2cb00073af82", "129256ab0fd6785766a6709f107610deb3d9bfcd", "a016fbe8d09402316c7b38946ccd502d76aa8c74", "131e9edbe4b0322a467b7e8c35f6b0c0ca750e21", "3adbf4ed5e4e3f59afb7509119667c8701c7cf37", "5ad0e283c4c2aa7b9985012979835d0131fe73d8", "5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1", "f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb", "b0e9147416ebe901a46900f584820e843b10c655", "9d7199db4897724c06fff907727458ff2660e7a5", "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "0c8f09f66f590690e391a3fe25b3167b174c0f82", "31ed5db17eeb4a0e023ce2b475be48528835e215", "e22e848d3bbe8e75bba09203b70bdb1324dad471", "8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd", "8dc81389a61d4d80644f44e1fcfd35ccfb332082", "4645c1135a824292d44c18db93b96c8402026c83", "61efa60e16c06e2820d863bc55f3c60e86f3f6e7", "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "2645a1c4ee285ebf4081ef1674bcf2e546908c18", "77b7572bf1426b0d2fa8d34fab41ca7f0086f28d", "5830e0816667e08bb0efca538d892ea329307daa", "309acdd149f5f0ea12acb103b36bb59e6e631671", "c3e245a276cd6e5db0a42163a89915a1de80791e", "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "0cb5a80d9ddc9876c73b6013fa927a8202736349", "87a4711136040f5d6929d7e31d8dae881afa5d3f", "41da7c52a09072fd9c5275f03f4fa6f6d41e1aed", "1cd0bc067e66bc1f66a73b401a4a470e43e4bb9e", "94ac7f52e2e94ecf1fd3bac53028967b7dd62f36", "6c8420b40eb13ae209f72125d339963805f4ff90", "1ebf201b34d9687fa17e336a608ab43e466ca13f", "1178beb48d666d7fc41b2d476f6a92450c0726c0", "1a0912bb76777469295bb2c059faee907e7f3258", "7c7ef33766024f4b76ce770d1e94b4ad31202c36", "9d3ac3d29164c2665c371a3c71de75bea753eb47", "eb7f690d6142fe558892f8d2f1bc692884b1a852", "50d871b436317bd387320b9fc796294e5d4d6216", "13ad6164dba75845f0f397e9314ad596e74eb946", "d1ca34311d6572ab27a85d7f03ce8fed2d2fb89d", "45e8ef229fae18b0a2ab328037d8e520866c3c81", "08b70ab782141a2d7003226a0f438a6aea0a0d46", "0f2f4edb7599de34c97f680cf356943e57088345", "a6404e91af8d1644aa7eea307ffceefa715dd7ea", "36d18202745ec9abb70d8f7e6a4f28a55871e657", "f52db83298a918d6ad7bda8263f91904807c4ced", "6668ca5ab57d68070f90671a4f92a6bc25f80470", "1d8a35753a9bcf42f7b73ff292fcae9a6676e791", "5d8c94a69414b119b245df4d959be99c7c3b9b61", "70ab0ec5358e40fdcf7247f31e6e927cb21442f1", "dcb0afca54aa2bde50319ad5720d613a6eca36c3", "989282f579fdca0ebdc890cf05cac88c29f9eb49", "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "2179779fdd977477c52703c4feef37450fe0e36e", "714a420173f328999c3b81fb70ce85be925b725f", "6759fd391e3f8a1aea7673d617d3e1b04d069804", "9289c04054cd5b27cb023da8bd1ad298c10e44e7", "68edd8add77c99c60d50aa10ed94173e84307319", "96feb1534ff81fce7699e0440e5b5432d450ae4f", "619a5c54981238fd9c31300c5a45857338742d32", "eac1b644492c10546a50f3e125a1f790ec46365f", "148316962e1ebb7086837e25cbee9ecbd71e5940", "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "cf80b4f78e639504cbf056f29bc1efecf31b1bb2", "8c357c8716e7a0606587cc67b209276b08483f3e", "d847d2b75bf301007a9e67889bdae5b147559ed3", "31e8d53b144efe60be647f8d93e824bf8d0f4161", "97295e92dfe49f37de65c5130097ccab84cfe2f7", "e42b2981f4e8de54213d624d1ef12bad4fe02f0a", "3ff40f0760bd8d3c46d72147b0f5b0d4aee2a24f", "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "ad7dfaadf9d99eadbb001ff0e0974f53704012b1", "8a48975cf7b36e8be367f229447d16ca5ab4a87a", "c9b13a5d5c7a688b567e08d933a8098724c75325", "f26a8dcfbaf9f46c021c41a3545fcfa845660c47", "3837f81524286ed5f9142d245743733766aa4017", "5136344faad16d313ddb47927ca8fd080acd6b70", "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "d813ec3a3442f2885b76ac0133c4c5d76f9f8065", "303e7b842a5f4210f83e5fea9f764767d546c9a3", "53c0ebe6bbdfc7b4718928b1d2f0a09ce899c741", "1b73bd672c6abe6918f91812f4334db23189d1d6", "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "35498b80ee457e409c0962e03a6e170a917c83af", "7f65c6e8791ba1db576b395be637b44995073b9b", "75512a0c23866cc2f0bcf349b770f0fb2ce17e57", "e4df9b008050bdda42670c020d6ebc88b086e36d", "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "d6c4069044b976c48c384c4562338942a842cf55", "905ba09d4db4f5e150457599553610fc2cb7e105", "995495e36f4a2af999875ea4f197ca98c5e5c8de", "c306c207ac7299872280b47c88f28db4811a319f", "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "c94f1aaf62f87d97dd579cb6451cb9149fb4967d", "790fb309a30e3d96efdeb5b16a29a79b7a67aa24", "e48fa574960b23ba65b7ff1a732cc521213b5120", "7e1a8659fa224e2734450cf33cabd194e2c8f2aa", "4e1ade72128a6e530577dbbe69bd0afa0ef0e140", "795cea6b95af22238600aa129b1975e83c531858", "9eec12c62b44d40909bb0f8dde325654c83f29e1", "038251b7c6ffee94181dd6584ae2a923a6b0be07", "2d1b8f60f2724efd6c9344870fb60e8525157d70", "08d40ee6e1c0060d3b706b6b627e03d4b123377a", "ea3801a15f4568856581357cfc4e5bb2de185a2e", "571a29d324cbacd036d8a30ffd0f586ba128a10e", "4a88237199595feaa3f0e3289cbdd201a3ce28ff", "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "6111832ed676ad0789d030577c87d4a539242bd3", "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "7750d24f5861551ea8a9b371f8f9e5c404a6e81f", "4b83eff7c2d758f8ae04c52b7ded5afebaeefa4f", "dce5289a0974fbd0695ceb547f97eecb5158e7a5", "e4fbaf84130f2f526beb39459eaea39552c4d0de", "39523a5a0225618bdd55212da8c51b04d5db789a", "e73696016b43314a7bef6015dacbe702af472d96", "64a5709d41f4c2ef0383cee9932e89bb58085588", "0a81810af97e8ab5b8c483209b4d0ff7210436f9", "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "744499b779a751bcc3a43a45eab6f7704140a701", "5fb894b0acd39a6c8b05b5c736cbb84b7b5d2fc2", "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "329e16cd476c958d1de8af89dee3ac0c5007e25b", "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "a7e9b87e28e252e7b6a4e5e9dc4f09b0830d9af4", "40d3b108399253862a151f242e4906f280c88418", "9b13e0d1a5a23e9b40339432a7a6d6d4fcf0091e", "437a720c6f6fc1959ba95e48e487eb3767b4e508", "289fe7756c5e0796edcdadb6d1a38890010c7cf2", "f7e16e57b93b9dac11280427c7575a0a0ae4e0a8", "52572058f015761f2113aa25a341c607a286fca4", "283b3160f02db64759259b4eb39dd54c4969d6f8", "8f941592d46b98885781060e41cc199dae0690a3", "54b5aab87dbe38803935789c4d730bd203d198a1", "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "3316521a5527c7700af8ae6aef32a79a8b83672c", "9576c9640f174abf2c6d064d2a109eb4a0b1af16", "a18c8f76f2599d6d61f26cb1d4025ea386919dfe", "29778f86a936c5a5fbedcdffdc11d0ddfd3984f1", "0149741d647c6044d830f5dcac0dadbe3a72b43c", "9555785f2a69c6f77e08c9ce85af35026d1d65f5", "203ea8ab1d9c48977be97e6caf3fdbcc84101354", "35d94887e4eb075f2603b2c69b19d31471351ff7", "1c2db743b37306e50c4234da53510c113f50f9ff", "a53c907114b909709780d116acd00dffde3aecab", "c79178a47403f317f837e4a8aa9fd03bfed1dfc7", "06cfc431b70ec6a6783284953a668984600e77e2", "f50b6aba0254809ba83c55d2b144508007c23c58", "6332a99e1680db72ae1145d65fa0cccb37256828", "2703b2e07bd0d11655f4f17a405b3f43ea13dd31", "9a339fe893deb250c63fb1fd31cb818b24ef16f8", "8a1852b1222dc6891d2e1b1a0a14bc8f4ae2f12d", "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "c1980e5d5c998ddec31cda9da148c354406a5eca", "881802e3df5abb317d8956e79848a8c142d283d4", "f07956d0031ff046c5c719296f7916d7897fdd21", "16fdc3829dc8322a26eac46e93703000005f3d6d", "52b6df1fe810d36fd615eb7c47aa1fd29376e769", "d77fbaab4f3883d8c08862b2d47362884ed98624", "0b0535fbdc468d1fd6ff32545a717a8af14f634f", "3d2e872997a0f5f07786121807cffb357fa91152", "e80ac8c09bd1161c8709124d799a25b8af109224", "1d4b44a770aad450744d6b5483314976c80974b8", "3d91ba69bfbb2ba018419342d279f2d7571530f6", "ef3697668eb643de27995827c630cfd029b10c37", "d1e66107eb084ea0ef5a97f3363f8787b8df91ed", "8966af6a8049192556e9c9356886a135595c19b8", "b525a863eab597055e02351acfeab64754d22690", "4335d53e763b2caf20f06928cd420ae09e5041ad", "aae7648c8b3acad61463cc1bdb4f17da40f819a4", "f6780d4ccf4c734baab5b1fcb301021a86446850", "1b4424e06ac29b72535727b92f261f39d065e858", "2b1358efbceda12de2f36398cdbdb3c7bccc70d4", "02a4fabb41ce20d10e4055fff49ac98b86723000", "4822c1bf765cf99193a231c000c19ae5d0c10a00", "3af9e70e81ea67729953c9c0e5269881b35e3cc7", "f938a5e5bc9a309b00da6b372a175e9a27aa16b1", "66b955311ab6841c4644414d8ce2faf6ca721602", "2803c3247c11a30a8075dbc2db6ff96f58c2ae97", "2f4623b24ee7204d12fbfd95d63366ab659f3e71", "83acde484baf81ee3a09c30ec250c11c111d2c0a", "d26891a7769397bce150a2619ddae1636eae8263", "52049fb96156729ce0ad88f86fa617ecf7d237e1", "7b607888d3a9952e0553874ea77fa1ad4f6ba2ad", "e0739088d578b2abf583e30953ffa000620cca98", "38765f67cb480de8d719524cb20d32116e2dff28", "1828b1b0f5395b163fef087a72df0605249300c2", "234112fd23604cae638b133e6581a3a91b8b6107", "f4c0114443cb38a20fc6bb2f1839c45ae52dada6", "bacd919cc95351f3766e8dfe0988e71fe2d0b8dc", "72572392ea68b82f5efe5623ff948b9032cbeab5", "1b9a63f103e15400371a52d48cf4746cb048a037", "0a53e6eb8b48890f7431da7d0f51d6624d4430cb", "e15eedb39dac379e217110002a6576f7bb213aaa", "3ca983d40b9de7dc12b989fce213b4abee652c9e", "62ad7d1b10be9c99b80b5d73ef8183e6dc4673f0", "1183db5f409e8498d1a0f542703f908275a6dc34", "0032567b2d936c463a6ee4f0fa9cfa9f87c91be9", "2472d6e4459dd65cd77b5fce99220d3b30854408", "38a3611138388490c2cd60dfbf795932d5e55a79", "0ad84d9e32bf7f3b612bff5be3492f2e545d3d14", "e61608681a2c2081b2b48ddcfd979d2266ff10be", "4684c487758df6b6bf4b69f3fe22e1aad874378a", "54509dbe70cd3015007bbd5fa1fd8793b388319e", "ade18cf978e4b00fb74352a7eba90b4f4509d645", "e8391fd7ef979a63c389ab0fa7c00fe67e4498f8", "09aaabb99e0cfa932342b72cb4fcdbb2ce3aada8", "95704293fcaa01473e5c0b389d8afdcc0178d8c7", "c2484fd7e368a17d25bb76a0644c6978d18d16fc", "7ea07b7b27d59300840df17e5881dbe3a4769872", "99ae00a21c26e59f565bac8afbed0ac4bc1b813c", "5578ce163920cc5ccfd709e6ada927d508272b51", "17614bcb0f96d576dee34e1349f8be3d56786dd2", "14f936e4eca8382ad835bf18b4a11d2e6682fd71", "cfbb771b7ebbd6f318a1bc2241e7fbcba56c9ba2", "c896946612069f162864edfbecf5c1a8a077ed79", "6e0288b874320b1b6461016fde8b215c3ba46b90", "4106c49eb96b506ea1125c27e2b2f32ad79f8c48", "3d8c8acb8c59e9f23f048f44a23f36ffd791cdf5", "eb22aecb7b59ab01acdf498b33f5ba9ef1b64f64", "4f4de2071e649043fe220888fc374b67d06f2867", "8acab2740c5b43f1d72009f849c1a8802d98aef2", "dda1be806ab56ca58187621a0c2e4d2b8ad429ac", "78e6b410d56d65a1a6af0e65e07fe8afeea04af3", "fae4185a5fc540b057ea9e0402223e653327d0f9", "c7aed3a33f4ac320b2b0d2354a1763b3e05b5fac", "91eb155bba11c8f0e7e164c30c4e097d00a9df51", "c3da60330497cb948ce1741f1624347ee7acfceb", "5684d284310582ae0f69c5b7a4d6b791a13fcf49", "24d630946023cb421b9d960dd9983b4b5dcb800d", "873b28aa7cb9e4a923e46338be472d910aa87a3e", "331429a6994b73c25ca0c4d0e2794e9119ac870c", "100f57d2eb737d6cb467bfac6e4bbfa9b39e774f", "f4b15fdcaaa3ad604b82df05f5d7f59dbcfe861d", "f7bed3080668246b517a0c787698b53f67140a7d", "907189aacae7bff389d6c6592d6e2586dab5168d", "6a3cbe2bb27b2a7d32c358e0be4ed268f7d4455c", "ebebf029b390fa37530e74fb18ae2f592475cac0", "48d4b174736902b6c773c139cbe83588074b03ec", "489a91bbe01a5bad1d333dc1d0d15afa7e712ff0", "a72fca41dad5bbd99c237c06311faa52a4a36bce", "665e6aa652b99350a08090faaf9d4bcc7800186e", "27f5cfd010f5414b7e0426d61df4f204432623a4", "6b25122ad5009d53321f9eb7f960947d8f353d4e", "07ed099e7d9c88d8e272d7191a4c7c5a68e3a6bd", "15e27e189fe9549d674ebd0f55a7bf1fa026cb85", "7be6c9234351536f3ca8c1f61cd12dc9e94f1a45", "3974c8a9894a6ee33969fe556e6d18dbaac771ba", "69df1b392fc782478f8ff63040855d50514ca782", "c7da4495dbefe97addf3d67a11cc3089f54bf799", "a5f9391eb46c27a7ae7b5d3691338fcf141c39ac", "b196d2b8a79446b9dff3170b38b8480744194ddb", "60cc2e8abc20c145727e7089c55bdba5722436d0", "6fac6fb9b2fff94e2babc4906646cf6427c591a0", "00c3ccc8d7e799a39ca15415775e89e2b41a3972", "f7040d2109cb42b373b1785ccb7a03faea824873", "7fa3d4be12e692a47b991c0b3d3eba3a31de4d05", "37a3e7a01655b4806df2b95aad193a2965e48a5c", "d3b898fbd3e6d788020f07c8514ecbbcebde8b9b", "b96017e1023e0431e326b78bef3cca2a083212dd", "8326b11dd0b81dcc169ce21fc12e0c9d632db6bd", "573c11e7e00389a033787984223ced536e15c904", "422e46aa845435822b7d93c2fb9103cd94128a21", "253325f09f07c2f7a05191f76e4977f473f4bac5", "0c15cf65f49695c5be05312e41994e2806ea3d17", "26ad124271c118e207113ae42f0fd3d30f204ea1", "9da04235f7677d1e22754125465656c93f2dfbea", "56af5fae5142a7777001d80a2df0aa644186c4e8", "b375db63742f8a67c2a7d663f23774aedccc84e5", "5665d98136cc39322d47cb782b8e49d141c5a29e", "fef3e7da849da4765ec6dddd10316b2da6ad498a", "7e8aae934643c566eb90463424992a73cb75bb3b", "6db59b031406546682a773baed2caed529aaf37c", "407e4b401395682b15c431347ec9b0f88ceec04b", "5f534bacc658f620a15b5647adecb0ea813286c8", "caacb99b5cd40992296f914a3bece80059047400", "330b66b43201057ca41622256737eceed1c5908b", "49e6636cadff564e47f6fee1063648459d92d847", "01424c2510fbca67c3cb016ac919f6a58e37541f", "fe40be62a131deaf62a5a313e2842234845ee200", "ba87bcf4bf799001641b7afd7d1025600f57c4a1", "3c0420a0dd90d0900613ac1f1a1174b626df26d9", "422f22dc13e581e09c4ed705091c73e1a676dec0", "ede0c040db8e24ffb1cb24cf435e032276c7f8b7", "2603efdc673e9c7cfa0c1e1dfda512b6ef54ea2c", "c4f628e04b5dae3d0c949d08b884497bce2925fe", "3f5158ea65bb483c6797462faffa16fea9f0b004", "a4b09fe27dc38a7646877440d76947cdcc895d4c", "0239d0af254c5304414db1672ea25ad2e1cdf2ee", "bae912f94bccb41e5492d8f1efb1603c86acd1fc", "b30f9116df47ba70a71e04ba8722a13f87719599", "41ed93fd97aa76b4abfda7a09168ad1799f34664", "b85645681e976ad7a4800cabd316bfd3e0bee362", "712f0a7a3a026faf42d017a95fc609644cc9f715", "d2a9abfe8d7b1163d055470c5b60394c3f0094b9", "28a16718b633dbc7f612de637fdb0d49c0e09219", "2b0a27ef0b49a6d067128d831046064c12bee37a", "2897a94242d205cba5c7254930a3b4c732d590af", "afe5066281a94061d5f76a08335b62d75a1d76fa", "2349eab05cd0c6f94ba5314c037d198aa12c2f0f", "9e179295ff4d894b92a98e5323c544ec6e269891", "1f614a97e16671c091b1bcd1a33e1280822b53db", "a62dbc13006f6a647e89f9187fa0f3d6ea782b82", "7e59d2d3416537dd958ff71b7a0bff87e639dad9", "34df09a9445089c8f23eff5b2a43a822c9713f6e", "90eb9f6a1b7e3dae24e438b201e6b1f671a87eb5", "72969929a95227fd7f9a1abaa832097c0c93dd71", "643575e188968a38b1c318d568d26d7043df9f84", "0d5f898d59ce592ce5cc62643753aee72c4153ce", "0818ed460c7c0d7bbed760145fcf83b3b426d344", "074c658fac7d7ebd88be8a24b46f2b301a9aeeeb", "26fcfc86bb0a20a0a9b5919ecc0df5883c220d1b", "179a37cb5416cea7d24b5820e75327ecf105e488", "fae9be785b12bd2917328ee9f3ddf0feb6bd571c", "1685ac0f9fedd83a178a2f64f25155fb37998d8f", "47e225ad6293ebd589c3c1268bcb70730cfeb8f6", "242c07160d7de751dd918a1a331cb157776d7a22", "c39e647e7a76ac60916f1f8b9ad382b5d68bc5fb", "8a091254ba45ab9fe7d72c8104409bee5aa8f199", "c6481bdef3a75f74b7c28bb957755f75003d869d", "eed87e0cab48938ad5a3809a04c0f54a7dd39cb8", "6bb55ed3761eb1556acbd1a0d15c2c9099bab0b7", "96416ad7328b57794e17c2f83ecfedea75c84828", "191753aa338f24bb41f7bacb4326e0c0a1b90459", "278eead9d16d003e5470bed36f4e3d680e37957b", "d4c657ce3b7e47237201393aa6bba0e19442bfd2", "005c996a9059af96454c3d6f83338068d3608585", "07b9a622f4a167c653d8ae5d73071608208f94d6", "1040a32d5bd5e6f4c8bc1932345ef93671e2c019", "3e3111f5f9285a2ff481a6668f734b4e53bf2673", "904c53ea063d7d1e13b99d55257801d69d073775", "4f5e1e70f51b30e4606f991ed0e912c84af90251", "5258aba47a9248c336216accbd9a8fd04e6e486c", "434fe2cca3321c08ef30a0076864298cf608e0d5", "9b69cf7c6b3148fda4bce898b5f63ad8650b282f", "fefaa892f1f3ff78db4da55391f4a76d6536c49a", "3b15a48ffe3c6b3f2518a7c395280a11a5f58ab0", "2f1c5d6cc5fba4a1d6af1adb6b4e7804f0020c2d", "465e8625141ba0a641359cea9f478767a26cd7d3", "61b288d120a44a0d92bae6e940eade40b1f26484", "05605b7c951267ef23408ca5b80dfd3b5c40f3e8", "8b4b0734555e446888f05c25ea330c6c53ddf307", "63f367d50b248680138cb4b3aec3143fad3a7112", "8338a6a0c1918562d821fa00f13eb30a42aa5b07", "65086cbda9714c538417f7b25f9cf661e6d72833", "b4e8abb2a5220732002e1086fb4a214122213fea", "d33beb4f1477374fbcffd8e9df74ca2547eb77ee", "a32dadf343f811e6837b8ac5bab873674fa626b3", "60f592326a1537d63e13a2c3ffa3c03f0c1be6e2", "24475686f64825c6eb503e57636fc1fcda724407", "ccfaddc870dec71195b2d733f0901195d03aa251", "3f42db34a79cf600b416a246ad3fd146a4afbdf4", "f1c2ba8c7797c4844fa61068b3ce9d319e6ced3f", "22267d537cbaed08c2005c42f251bb6097aa1505", "24cbfcd31227d232d37d4e257e8300afffec9182", "2edc56745377adfcf60bdefe0f61064ad49c282e", "134f214cba50b25e82359fdd182fa0fa106d4792", "0020784920bf7ff6cb51d0b6061b99fd77161c3e", "732d0d3f57e93c96ee85c33b39012111a90624c2", "935ce31268232b25c9f685128ae0ae9e5c3a0e8e", "c3831d2c4bd6acfe996d0e272b3c5f4fa03e8425", "1c6e067098fa86ee3f96365f28669b06f9ce0c7a", "88b40b93bc00b91a42ba9392d20a6d01a5ae7592", "8d39eda4a3d8bca380bf3293fcb9c034a6abdb7f", "8f34d05a3353329079dd327be0c013669c8083b1", "bf3a09f7598afe4e3ab925636f167e55f2b70a9e", "4286b193cf1c381ac18d1fd994d6acd2a284ddad", "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "3c5338479915115edff232b2a871c2e73c971c14", "2784ebc97a064bad57d8339e736754ac15f10bdd", "2ecb3e485b4935d3f7d25ebe8179724b9228bbec", "863b15316453bad8ee8da5ce7c7bc460d74a4bba", "0b57e48dcb065c4675c62d535f9eaef876cb3d69", "5bd91c5aa3468d3435ff33d03b3d8348724f96da", "3db824136c1a1d447a1fd20fa70e478097d23fe4", "504bf308431785153402b7058102f6920a0d8ab3", "5e6ccd81669f7da05effc109bf349ca7ce4de2e2", "c757f6ee46208c1c26572265803068f8d837c384", "f3d6b854e605abfb3270ad309eefdad7300716d1", "c25a8347a108678cabfd80575c74defd838edd9d", "e45374e8d9491fe396497fc9fd91bd2f2f036315", "a73bc57fb0aa429ba5f7f12b6d02e2c6274cabdd", "3f4607f71888df5b69719cc926e8d07988f82dd9", "dbd3b57b942cb860207c377ac41d777f51ceabfa", "885e6f1ef99d04a057d2543cbf2ffc9e7bcfb309", "a25f1b02c63857482dcaa621f3a52e2b34d8b022", "dcdbb5af93d240994c3e1eada67405ee05c04fdf", "3bc6ddbac68eaa89487d29abb0d25d85161d3ae8", "fc9766fdbe687b3c8b93b6d164357d4918687cb6", "5d09fefbcee2410eb448dc75f5957bed8587624b", "0ff1da972f03085a2bbe87b88940da6201e1aaf9", "fde6f06101aeaadd47e8752ba35583ffddb73667", "28707ee894ec3d9aec8c98887dabc6aba35cff82", "71ab53b0b3635411d5985f71cc56bb1784023834", "891ecd15c285aeb7286762b8a02e9897cd9df5a1", "d48647a035eb108a0df1daec63177841d81d3ea5", "99582ce8439dce17d9d6f74eb54fc5c89dbe06d9", "d7431a266a151fb92abb7ff93fd458f21c6c3c41", "df4e60c93b6d3079f633a078b37662130f54a5fc", "12fd9a2349446a47d50251db6f981a12330f5ac3", "0dc11a37cadda92886c56a6fb5191ded62099c28", "5d5d8c802513c2889654a880345e5a4bec51f762", "ba97bee7254831a2a9dfb86c170a111c4c248413", "90c01ab7f0516990e722c366155a796577bd31d8", "07a65c9368d41a07e9ff1065e5a76d69178008f7", "de11bb7e73d96ad36dee8b0f8fa827f18cd3ddb3", "0b5c3cf7c8c643cb09d55a08b15de22e134081be", "4e9eb9e4faf5bddae87e311a744cc04406a87fa2", "934824fcd19fcff4baa2053ca669bef4c614143c", "434acd877953b066496720ab1078a2be4398a632", "06390000bef7eaaf372f1f5e7a23d2f550ad2691", "017a5a3f7d0ca925ca0b72bab059526a03ed6476", "405a70c184e00eefcf797a0e842578ea0b51f6cd", "8d177b422cbdbc793d4fb6b82fc2745a508b6cd0", "100b416ac4c0867dd683e75249941a4a6e178071", "dbf2ffd4ceb7714dacda92fb7c9b0f962235587e", "548329f292f62fdaed27298e657cea465c3dd229", "3e211a93388dcf29dda4cd6d3d515042f2cffee7", "6b3c9c0e4d47bd960c0adc4d13ae524a5d9b94d1", "040da12c3c523e15bb864b114b551c5306c6846e", "816617fa6801fb2abd3d4475c459bf6e3221954d", "e7b6b6c7311813b69316eafa38f92bef2dcea13f", "24dbe0a133908500d25753542bbb720d71678c42", "2c0a71b5e111d2c7d99c3f23989d317a0d845adc", "851f3dcfde59313dc2c8b87314f5a191d82194f4", "7fbbc20eb5fc2f023f60d6b907765fa0d2633ce9", "06890d068a7fb82fa78443038ad26ca7623f7a98", "a6e901131bbec0b754647cbc1d7a7e3580d351f1", "75522dfc1610c8765185c4344d97db33e1af5047", "dd6a938aeec20fe17eb9884387b98116a6fa7f5c", "5d7a207f36f22dc470a007abf1095d30e8020650", "730c523e478725676ecb0fa389af644baf80627e", "c1100efda7c00d3181a6a065ab1474c2f864e267", "e27567dd2f70344f156a2e1ecc54df8dea7e7027", "d0d186779ae4a4e53101a26dc741254e822e07ab", "6dec0491f7f2ed1b1357d93d47ce5c082683401b", "5c138b421a8e7d14c33a1dd99ef57d24833e3e84", "2822a883d149956934a20614d6934c6ddaac6857", "09071e54b012fd8b14aa351a73d44190707b1409", "1f281b87ef58c0dd244ec4743fb1f899b4948308", "ea3353efbe7b856ced106718d04ea7d83e2a2310", "1be15c1b5755c6176b2894abf05aafd15e43d6d9", "778eefd9f0f6189456fc25b7cdd2c3f4403a37a8", "71286a2b3d564daf171cdef54ff8972159152729", "26d6de8fff278fe887b9de3f446d6bacc31057fd", "d2336dbae3916135bc26dd064514441ea94a8a2b", "56dffd751df9936f98ba871cd0a56024fc518369", "d13f176178f90efa6f91e9f45f710e72e5675c9a", "47a1aece15408b93ecdb4721a21e2841624319e9", "532f070082eb565704a2f6481ed64bdbc7e6aa24", "a312599f9a842cf686c6cf80b770e05840d32a5a", "2f41c7ba65fa3d2819469fba450754266c98740e", "3903cbd56446436a4a3b8443c26c90fc1b69f5e0", "83d0b7100ddce32e37af72585f9aa4181e6447e3", "82594dc43b73453c958feea6ede8472cc0af869f", "413c98ff2d95b5b945825268fd8ffdc65880f715", "5d31ac0626f1388e3b22e9dce8837b37189e6269", "0754be0801b5b7a3cb9e4011a8efcf3df8f12bd4", "680402e42c874c14a32146865d985588985744a4", "25e06d516f3b26fe84d2715e8d9b347c0ade2fda", "135de89f2fcc94b7e7db7cb21097855b66c90fa8", "457d3ca924afc21719d19175caf285aa575d1c90", "4ee87ed965e78adb1035a5322350afac9ca901f5", "fe464b2b54154d231671750053861f5fd14454f5", "517918025bdaa0dae2c657b3cc265d67dd38a029", "3295ec2e52cd83cec75fc7c7064a843756b4d1ee", "72cb689ace0277d64f45243af8f66a8a95e88c44", "09ca15b1c1d65012e5bc07e5a44bad7b72609a02", "4c95912db440086efb2b7acca4e8a1693cf4b3b2", "070199a5087590f96c4422b82e4803911bb0652e", "f74dbf3481fc3228ea821da232128b98ad5f7a60", "05c1fde513e23e2ec95bb9366665e716a2fcea7d", "33594e1bfe93fc6c74c2bcfc1bc39c524fa9e2ca", "3c68834951564fdc2ace1dcd5bf7d1317a22a176", "0fd53d7e1ab8f42c710cb77b5ec4cc2b22158a4c", "6ed559a0d04e7d4185eeea43f77e372483982e4b", "036839afdfe7ae59bfcddd22d2c688b03bef3bee", "7c4864065f4e107cb5be49a8dba8cf7d94b8340f", "71f2175dc19f1c61aecd97c5f7ac70bbd477b961", "591a4dddbebd3d3ce3d86f9910be40aafcb73a90", "d82a39da1e524f6ac8b5622002bccb974bc9b69e", "cd490432e35ed5c5b7d80e1525e2780d7467ffb6", "2b8f87a454b80da5800337ccb5579cc7afbef45e", "8558ea46c8f7e56c57073b27408c6638e81293f0", "fc0630823bc02d8ad7a2b6dfd1e457392ec525cb", "04c6810b810f0e06f68954efb937a28de506aa43", "36c9731f24e5daa42c1e2c6c68258567dfa78a0a", "400aa5cb2fec558f7827c3638993bae34752ff31", "150b61a610baa6b00557acfd1464af53f5fa27ac", "77ca49df9b6616d3234073f1bf647e0e3d5795d8", "74cefa1d796c84dc4343fdf383f15ca1e8ebb6ba", "fdaba5860f753b1e5714d582db9851cd0aa29139", "22859493a419d791ec737817df53f5225e3c48fc", "275260b6118b56ee2a3d6bbdf250d0e424b4223c", "263ed42f7f5864a8933e4c0a361ddc198d44695a", "11b00a4be68e9622d7b4698aca84da85aca3e288", "50c4ece0f07f2fbc3cf2fef98df24aeea0145899", "ba227bb94ea9414bad8846673c904a10d813e443", "003021d47a752fc2d8bb8555643cbcd6361e74b4", "cab31574a018a28590b92d60cccd9cde906d9b88", "ac5c93b789bdd557b90ce77221f1c01ead63041f", "563523dc73375693314c20e1fe2a65e34915cd8f", "747fdbdb1fecfefd3eb194da4816a85a61cbafcc", "7b3231245a3d518085c8e747e2c2232963f49bc5", "1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8", "5d1f177964e767ac5ce7512cc33fec728096bd07", "26cdb9b6d94c1d6c6a01792fee3c176585f594ac", "267bb08aa4eeefa1ef653716ca0ab572748a3a4e", "a576d19473a12e16262266989376ad1e77e8e817", "69ad645516fa5cd4cd45fc217edcbf83bc0f65be", "ad15e64c93676b57ebcef4c2c4183d41b246f8ae", "6481ca04cdfd7d37ee397783120d12ba27569cc3", "5677e80cd3f3924ff4bbade111d012c313b15d86", "1936a73920c5a7eb97e8b73cb9a6096aa509e402", "d88aa79ba54c70c521881eff72933a9284570091", "a95d653f96c9f17e7ef4466b673cdfab2fa0aead", "8ff967ed7130f81abc896d7b84f7c629aed5cf49", "ebabf19e66ef1253fda8d39a0569787c65e60a9e", "242094969481f2600aaf66d0e4e6567569d8cc5a", "085ca7f8935808986ae1c6afbbb62f6804049f26", "18fa509413d418d7a5ac9f517b86530fe3a4bda9", "877d0d47700b82da0563161f57cfe2dcc2be0fbb", "0d82013cbe9f65ddb34e5d99eab730fce4f0effe", "78358320d0319c9239c0379efc0e7827b9c948a2", "2dbb4b45b6a392268ce45d16fb944a652d434bd2", "436f798d1a4e54e5947c1e7d7375c31b2bdb4064", "03ca829e8680ab4cdabd491b3b42639c58f4cdce", "3394168ff0719b03ff65bcea35336a76b21fe5e4", "48857fa69a4c4e3dced3f6c5b60ec29b6e621feb", "0cb7a27177a782a091916bca3d8edb02f88577b5", "21e2a03825b260a7dbccafc0c113af3f9fd73581", "a3dd6a08c4132358877e3b3c3eb87c3f3f4adda1", "ef11f2cd92ae23832260184db767b8474bd84273", "28b281cc0d527d3966d753f5d96b3bd0ede10e25", "980230e7d3367420c35851bf47b40dfbe5b7649b", "cc392ab1cfaee298e05488a4a1d84ece12220880", "683b363a20328ab7a423cc21936631cf493af97b", "f48665764089d42bb0123914e4ed0a3770f5d706", "3752dc15fada54abc0af866273d03a28f4dc8975", "663cca096b98c8f0444608b188e464028ee34368", "23fa51635c646aa621bb18ff76f31d5e48ac969b", "c11c89e303a6b46de324efa01a0f749b4246c516", "6d2b633743178bd5aac1073b60d81ceb41933a4a", "8161b85a9d4593bc58f225a3aa29eb9e3f59f652", "87779d07a76b1070a1c144ea680bd7c24e4acffa", "548318d42e251b3ed7d98748a07cfcfcd0594575", "f4a9b4a3b680ff01e8e2ee7f532161905db91c25", "df358507940f83318a812a2d7ef73f8d985333ad", "6937fe93e6238ee21904c172809bea0086da4570", "3db349ea211ed3e71baf7c7f6739ea0b086c5db7", "6ab1b6dec1b3f547af977706ef0a51324fa0640c", "dd7ed20a65d811dcf863f796d6dcbe873f57e7c4", "9e48808f283598edb5a78ec2590a35ff163cc8ed", "aba742ca4edc7dd37ff481d12e4b94c153baae77", "02b21488531c0edc44f7622a035d1b980b5364ca", "04e2f0de3aff901d94b0840f7d2fc303639ece4a", "06856633ce8dab74f6631c3f132d985acf2be355", "3642ccf1133a965ea943c212b3314c792730be18", "079aacc817bcd84dd8a2e20666e8a62d60ddf724", "8ab52e11760b929a83dae617afd3d55fb528d110", "af2b0d3a6ffac71b2be2110e493255b72ed93b47", "dceb0c8093171d5d044fb23b7a9b212634babbc2", "91ecd2e705cf27abaf38e5c1c25a19ca01c16124", "4ffc1e005990ce708f7e8191bcf14971b2d26e2e", "320fa803436ea0d94ad73f9b2c5c0938de4ad6bd", "164f3b9740d9ceb14658237fddede0f86b5e0c47", "0fbe3aa3f288949c90956155bf706a9f33d173bb", "29d9b6b94a36c02889809594b26f3785bb7ab146", "4f6ab8af1b059e6130d5fd8c4e4adee4079ae2e6", "642486fd468e818fddb8a2ec156535a9d74fa4dc", "285b4e0493aa1789801275869cb3e0df1fb73cfd", "93a8dbd0823cc1924bfe37d88af36d4f0545bb12", "300073a2f9720388e35a27e11ebe53c619969616", "21fa37258834c2e3f075a8465d8de1c178cdaaf5", "52bf00df3b970e017e4e2f8079202460f1c0e1bd", "4fcdfd50ddc5690bb9d4cfb986598f3796baf585", "d291569f332a216e2a12238a117d747b0f4ba880", "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "d76f9f0e8f3f39553ecafd311d55bb4964fe13d8", "647c6ac5e0bfee0241d583650f18c6314f28aaee", "63344dee49a1ab7e27ac34eefc30fb948a0bf9bb", "ad560c4c6b78da4736962df380a42736909cdb3b", "4aa2760c43996af6231d3d61a7cd739389766641", "191a3f67bfeec06383d083c9d826676bcd9205b2", "5b818c73ce5681e523d6fe9ed8603c7afc0a9089", "ffb2b60dd4b88480eb4b24caa06fd096d60e9a67", "b7c2027a8ab6623a33d103ab4919ad3033badbc3", "0ff4b53d140c2af0771a8a3dfeb17c149659bf07", "09edba9db405dde61630c70bba00ae9c5dd7ed37", "f1f7ee70b2fa29a93ed801a1da9853a4c51f3f05", "ce1cbcf0f671423eada02e6699d637afbd9ef570", "736d3cceaf78b9e97bf5b3ab4621743c1cffa782", "6ca3fff996c62abd07bd13f36a9d552e91d8ba5b", "a047ea8f6dcafae5ce077952ee2b554580ed072a", "4c6decd726d04b916d9a2cdd468c64a8a0fc2fdb", "277c41ce2a485f09a842d793e599553ad751d34a", "8c722d85fe25d1b0a14c4e8bce8b2ee2cf7c13df", "9c82f58ddea417b1044f64ea3a7c08899be6f29a", "0acc526e1fbef5bed4c63623e370a4710206e997", "a34ad53bd23ba33eb2644acaae821f08e23d1c42", "3be772572a3cdd81f53298336c929571e0e096fa", "0fd877cb088e38b00b44f52f5483be8f356788c2", "955dc25def91eff6bfa5698249bb189ccfa83367", "e9a1b1cfbfcf60698fa7b5b8738f5990182abc3b", "26db78cc0cac058ea6e46101ad2e7e91f510cd2e", "e9a8e80bbb4cef2167dfc0505392518a087b7e0a", "323fabb6cb4e74518fd4c7ad6ea5a1b2674e63d3", "2ccca849b37c26f403f04de2822771412f4197d5", "1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4", "11d04269aa147450f37215beb3ae44207daf3511", "d5e035db391f545ab4d699e7b4c73d2f3360e2d7", "7340b7cb7620904624bad5694a32cf66bd32f7b7", "92b2386e11164738d9285117ae647b4788da2c31", "b704f8360c369e65f0826ca23dac2d4e221d8997", "49ae4afe91239a8259dc0c390179d47bc395beda", "a7438874b2c008e614c46151fe244e5cd8455a29", "14975c7487dd4ddc85568e4b114ff162a334f66a", "61c4969c78cff37357ac794af5ac8e439751b39f", "bd8d3bce895143e58579e6ec7260dd4a41794cf8", "490a0174ec7ea3e838754ec883c2aa5ff52f8221", "02c2a29a4695eab7a8f859bf8697a5ca9f910d70", "2ed3ce5cf9e262bcc48a6bd998e7fb70cf8a971c", "d8781a8d68eb429e71ee784ec858cc37f55d3957", "3ce25ff9a72bdbec5d39f6d8c43abe4d932b4fab", "c2251f1427a7e0c8e94a70950d8f08c205aa3e66", "f4f681b48b858eea88c5eb252a7b37409cd2ffaa", "ed283166e0238c4aa801bc76969776aaa73c5a77", "7b95bd44db15f7cf20bfc051c353841f3fcea383", "eefc06f6e6af1c2b9b33fb12bdaff73e19a31d6c", "521482c2089c62a59996425603d8264832998403", "b74e94e426c50b1bfdfce063b6521a464c6b71b9", "da19a33303b7a5ffc04e3e7d17f8f014b6ee3566", "1d911007a6f2832e006773f247fad1f729d1c6ae", "ab450a7968555532d9ea79f81189c0d52f9c5f11", "48e34a0e630953944a9f7450316629f538e20e0e", "76438df197d4cd0a05d0b2c87290c1cc2da2c85b", "ae93008a90842c113a426dae46a821a9a42ed731", "06ef2ba33ec911aa0102fb938b53bd3cc36a475f", "a2e33ea056c881c12517a254ed03f550082bee94", "e2e19b7259e43f7388bff1f10c5bce0a7c16dc38", "6fbc58272384ede0efa72753d78f1ef6db381ad7", "6419037ed7396bcfa45ec995ce63058865889e72", "0748b29b046d0659765649f7831a319ec23967e2", "75d69d183a1a9e8312e21e88e40fddda0affb96a", "9209095ac450f14c603582ac01692b0f11c9c33b", "6910dd8525776b2f7aa048405542abd8d61bac5a", "56a74f0f8f18895b114839ee53c2f6e36950a5c5", "3b9fa107e8d68590bfb7ac03056c02ed0aea1c29", "6497eb53fd7d3ff09190566be8099016fb49f801", "ea586a20cffd4b3c825ccd34d8a917ee058c4aca", "520e8b71c39dea06b296018a60bcca2dae53f456", "03eac9f1a4373d3570a024eb3983bfda235e3cbf", "6c6566261ce22d11254ea45863e8fd6e13316be9", "29c362ad0d13f9e60a25442c2298a1933c163431", "6b960dbe5372d7bcd5e2336424c0c5e37569dff0", "849f56689d6d947770ca3e1f582521754ff72c4e", "31c846067016220b31fd442663ba42e50f524d25", "d019bfb44fa65f7bc7b6f50f7077d609cd541427", "bff4465ba5ad9af448f38d8aca6ac0a8e22a577b", "3d4b76fe73ea16400d62d0d776b3f43cc5ecf72b", "065ffca373469c95db28891889289d79e873e2a2", "55266ddbe9d5366e8cd1b0b645971cad6d12157a", "4a48a8a6b3efdfb353454a762c042fbde343632f", "064aaad2a9ac5044b333714e61955631faee87fd", "550e5d7f607951d7e33e8f23eb6b6bc97780915a", "77516bc906d7d924cbfd8a2bf43dc06eea516163", "c200e8f4b171777673cd543f017368629e4ff69c", "ac89be25278ad9cb7c1f59ae7e30ed667b16e977", "ae5e92abd5929ee7f0a5aa1622aa094bac4fae29", "1142a9d15d536d2534d6e757911efc0716cbad9d", "1b71e4b59358ed7ecf6117e19fc944307e58a7af", "219a40b7c85ccdd377feef710aa9ea226c2932c1", "fad856784bb87c72d7f45eaba7e0457ad57a258e", "2cff8237001922e7cb88c2c5d156e6cbb17ef565", "ab85c4082470e8053fcb418d4ee33659dac57e08", "275b3cb7c780c663eabbf4d6c6cbc8fe24287c70", "d4a398aaf49807f1616bdccfe0dd56e6311681fc", "40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80", "1299d40434a894b4f443cc0550e2bdc30248dbc6", "40b886e29d3e553d4ecbaa7945a75e709e0d5699", "f49f1028052baa1588376a78a9dc64812748555e", "62eb53fb0fbde20945a5bf04fd63249157f48002", "f56a9a127a0c65f7a0977d93e260d74ed4d5aed9", "95b5296f7ec70455b0cf1748cddeaa099284bfed", "0b84f07af44f964817675ad961def8a51406dd2e", "f741cba061655581f6fbb628613d0669c4bdecd5", "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "8961677300a9ee30ca51e1a3cf9815b4a162265b", "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "4cb36aea73a328da8ffcdc616407bae3c908aa07", "95ae9f187044b0000ca371ce6557a076a5ddede3", "e4819f0eb03bbd2164636c466763e458058135eb", "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "5a88b2b9c77ae830be0b014d4788420f6a748723", "7d8c2d29deb80ceed3c8568100376195ce0914cb", "b3e720b349f97243bf7bd64f39c54d25525ef14d", "989d7ee9b43a528f99f33a9f92d16ced735019d1", "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "7229bf0f7111c6a2856eea30c367ede3b3cc799f", "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "be21529c47b79b688b420c5e296086698ba11350", "3849c22a21e475d7ecba0afd80b9129eb006a72e", "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "30666d175714e29f03a2a649955e714b0cfd88cc", "1e2f07f7231eef629c78cba4ada0c9be29d77254", "193089d56758ab88391d846edd08d359b1f9a863", "15e1af79939dbf90790b03d8aa02477783fb1d0f", "9dea76d985e50f2b34391f7277488a2dc31ebaf3", "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "456f00e213e03058a056069fa75c34929cf7d4e9", "63b7a821f11e6ad466be5bb1a3f18549d68a9cb2", "35b9af6057801fb2f28881840c8427c9cf648757", "a8d665fa7357f696dcfd188b91fda88da47b964e", "6b6207c49c7b41b171388fc2228304de148f0a96", "944efd74c6fd812c6c495a11e7b045c9b778702e", "7b8aa3ebeae17e5266dac23e87f603a5d5f7b1e3", "e69152334ac7bbb29d368862cf5ade75ed9bbadb", "5328a7024f820fafdab4165777807c2ecb855fe4", "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "0935f094c9693087a807529a9fe1b096df0d7726", "311e4361ded641dc6f007595dc05f5c77055bdba", "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "beb0239feac388e4ee04492159a45f7e2c71e1e3", "d1263c5b58a2591eb3c1e35eebd78f3caf0a3716", "b086e278c5ac61c024e89b302fec87b2aecf9281", "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "8ba606d7667c50054d74083867230abbed755574", "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "29933de38d72a0941d763b7ac5a480e733ef74a2", "3529310a5b3a8b5a576651dcc994ff1755e8560c", "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "0c769c19d894e0dbd6eb314781dc1db3c626df57", "e20e6c134369e3d63ba0cbbc5f2088db24bf3d2e", "4d51b155e7ef7fd60a3f275d7885d07058f5aa5a", "c3e9086c01cce306620f1968958bb16fd9c084a8", "e75575717530f475947c3ac2727621a67927901a", "76cd878c37bcdb8b3ae678e96c9b7700184ddb46", "6f5a3c34360caad4644aea897b8fe7dd72076d0f", "bcad8f845a00e8f2a071c6d200534e52f82b5bed", "f423e2072441925a16d95e7092005abf602b7145", "ee7034a5ef168f6bcb1b5892177870fc2563a646", "c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2", "901670d2c74a0630d991e1789ec0406988e809cb", "f6f0585ee1e03044c5e346d66549a956886e42e0", "211f413e811c7850446a1d24b52697b72c81176e", "49609ea8946d5c4d8fad96553b10e2b07f4e2485", "59ee327192c270fc727c5f6d2ef90058ed072b14", "f8dfa96a9d146b23bf266d6d880e485e636b0f60", "95c5908d856010aa9836a4f1a6cebf3828bcb9f6", "2933da06df9e47da8e855266f5ff50e03c0ccd27", "af10467547324b6eb1393a6148d8291539eeea1c", "0ab5a9e10ef99b71ade05f8d9bab3073232a2ef6", "ca19bbcb4d8ec8fa22d6a2536f349dfcd329a390", "15c99ba792bfb0496694884af5075c81a266ee46", "d9c536addc6f84e8b6f48a555b0320992f950b1b", "09e5f2f819a21162d833f356670a140cd555a740", "092b64ce89a7ec652da935758f5c6d59499cde6e", "397f572e759aed28ffd4deb2d3acf18c991e8cf9", "f96dd74d4dc828cedea8b82503effc7a012a79fb", "fd32b8424e9b250f797310929082d3cf60bf87a0", "65e961f8cd9f7a343884b86c60bed69cf10e1983", "46eee6d5c5b1de8f19048910a2f862cf10f2b874", "a905cd521e6abf75f847c8a1bdaab9f24c992d81", "89d590d7013433304aae1c97debd257b8dd801fa", "8ee50fd3e19729a487f7196b682ccaa2d17aa0df", "09c4f72b8d0bcd2956bda94bd0776c14ec051819", "914c859b7d991a7e9c733011e1cbbb4277b6bf64", "27caf667432ad7dbb01921696857303641b34f83", "490fa9ee39614e1ef1d74162e698e4a1f0e5f916", "413a184b584dc2b669fbe731ace1e48b22945443", "7fcca469ded8293c0a77849a1b4fa39a427cdaac", "872e93c59ff55ccf402337f066bd04d37ebb1edd", "19cfe13e8196872b81d6f31d2849dc540d146f7c", "4cf17bca0e19070fbe9bb25644787f65fa6ebe1a", "dd5ef2a12753c5c923fa6b8033384db7875acf95", "0d555309828e4c31b79bbdea55066ac175720f86", "0cfab1c2839ddacc19bc9af2e821d5c5fd4f28c1", "e7669c62339ccb4b644729b2060ca41eb7829f8e", "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "4b387e36ced03088ba24c7ecc01ba5f30ae14e30", "253b9b36565b83d0196c3bd9bf05089d9aafa242", "033fde43e6ff235fd560435bc060d5ffd14fb827", "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "a271f83cb1f72e0f9ca077499f51adb086fb449d", "cf75d967bb47e1085fd120d8373e32db835d515b", "323d6d93b059372bbe26a86bad1b9d94b076f50e", "69c5fbc040f3ad70f396ec468bf1d725bb13531d", "4d4b1aa87af8bfd65ac7bc250bba5951aed40986", "2a7bab2b201b93aca291b260c114f5b2a1f47954", "5ab3cbdaf3b14352f47c3d2a91c9f2c247fe94a7", "7d19cd007bffabefa59de061b303da464711af22", "0b7d052036b92f8c8cd4ed4717ee3b528b1e3c99", "760acfa418e26c5fc03471899040404773e38799", "0291b43490e02303c9414f03980e606950ec7261", "1978297fa32ca39f57f450608a48a19048b09270", "1e8cef4a24376bd12df5bbb4a1fd7a1af95cc2d8", "7ee637bee61a7a6d4b2d2d7aea921566bdf5922a", "31a1d959e62dcc078fa2670fb9cb75b6bb070ef7", "cea08e768eff490c51ac1d884163cbc5ec862015", "68415682aa3e25178c9504866f64cf4b2a32273e", "8bfb238673869c428e7723e4b8ea5ec6bdfb9824", "4aa03bb7c10e280acf5d1f5653f336c5d93ecf88", "11f8eb971b3ef63ffc1805e1508ff5e52c943cc4", "07892741feb277639b8a7d4c1dcc0054077cb7ce", "3b8ad690f8d43d189ea2f2559c41b6eebac8dcc8", "63c71e317168d5b55dccaf5515ad96c9e87f7d9e", "74f4c444cf2b7db77ad0d2138a61b96be549fefe", "ffa4d1ce1751f449f2d9829a5712c3641cc9c5e9", "10d3c60f08df6b6e6eb68ef5709f9ac2b6313f0c", "2c2bf22e2f0a1817475aefb37e0c4e0404e8d479", "983f03659e42407b1779e407388ea86fa58043c6", "94fc0212788b2e7b277b20f04de6e042acfca052", "413c960e57ec3fe713e7b3e070cb6072726874bd", "31b9251dedce1e10467a0a33f56ac4eb05ed0451", "9d422e2c318ab63e6b49c83053757b4636f8308b", "e72e852dca333d66559dbcfb050140fac5affe4f", "7251c5e33a47be2023a1fb3f9bb74fe8e413379f", "6424add0f4f99cb582ecc50c4a33ae18d9236021", "3686c59fac958de0b3911d5b08213994836ee96e", "712c13fbbabf086df5a6d795377d2b435e132a57", "452bd41a9f9a0dcdc9d0ca3b9f0534db7990826e", "a8c00babbec804b4e236400459e26cab1e035d42", "308647f22e3f1c80b7416b3c53fd56f9abfa904f", "b3376f115f8b13695f1b8c1a7f00f4cfea4cae53", "df58cbf63a57ab1e1fe2cc22fed19b2f8cb89d16", "1e254f77ccbf3bd796ac3f60001384f59eba4ec2", "291e6f2a365913100de8bd1071810b8155095f08", "0441e485349cda6aee6fa64f11a39e8245eeac74", "4e8206dd2e163c6a139bfd0ec3adf410e7b78c4a", "e0e4910d575c4a8309f2069b38b99c972dbedc57", "4df1eb999ea8b7972e8f8b4ef218866aa16e98d4", "5d75c4db2e09b19de26b7c77f946e89d449c4ca4", "12bbd57ce427a9f847fdf4456eab3bd5caeb5891", "d53cd5869a3d718ebfe8a383f76e7ede2458dd69", "45b27c1cd68625b5f20a5286e09bceaaaa4c55f1", "0c53b45321131e61d1266cb960fc47c401f856f1", "a8d3639b2548263201b84ff865fbb0626d8cbf3a", "33c485b59249af2d763d6951cd11e4080f3bbb3d", "e8304700fd89461ec9ecf471179ad87f08f3c2f7", "8d19cfe643582fae03ce024efaf117d1efef5e58", "7950d67f7104e9bd82d957f0ed80f11982802397", "7e481a07f829b9f9bb5d3f28eb7bbaff0558014a", "c76d143b3fa0d25e21580c583d39ab07fc937e71", "882c1e78bd8e89200fc639076eab19843d118432", "e78572eeef8b967dec420013c65a6684487c13b2", "e71da35611f4ca7fa19180839a0680f65de78c4f", "2f33884d0612fcc3f7eed66e1a4acc229860d6b5", "1c686359a30e68183d1b23e069c56a7c0b1fdae3", "70e3c02575e4041519434e0dacb291bbb8791380", "508d5e0ef6cbce1997d968c5d4534a7baba84948", "851e78906e1307773b664953bf2830f32b28511f", "195aec5513d3fbd1892079fc0fb3ffea0e108ac5", "db9f80948fced4926b09556aea4acb726951819b", "b4e6a967666cd8f943b9e16ab4ce61c108803493", "3db123d094c7ba33bbd3c4ccbea77e2093ad6174", "54b2a176f061b8e045e01b49dacaf1a96e8fffae", "fcbfa580dafafcaccca5819b232e1287406ed43e", "fcb3f7498ae8185ed09ac8445fd9409a4fcc49a4", "1257488885ab81ce41578bb244c258772681791a", "f2bccfb12c1546bdf73b11904ac44b1cfa130072", "3e637cb31828efdfec8334c637f09a6fa04545ef", "84eac516ed3b75233c5110468d3fddaec83a2895", "b1d09b2cc2456bf069135fc53eba9603507087b7", "7d7024c8c97c972f81c0789a3d282470c1737652", "18cf63b20521964f2115f6c939f70e582999bff5", "f9bee6e61833c0323c9175402b73442d27ab9eb8", "82161d704bccae999e80a6fd54658aa35e143995", "4c5041f8b93fd71a851445e84bfca0d7d0c3bb9b", "c4072181e35b989b812da9e346e45234967e356f", "c8f035510b72b84c21430a887ed03c8836eeddc2", "08e6f526afc00c06ca9862029472e56a7c3de51a", "2df5e2adf01a803405341af1943651f6d8658bce", "1169f3386a49daccbe199cccb518238a0130a537", "62a7baef5a3381eef8e142a481a5d5c291447c7d", "b3014317cea72345a711d82d27f2c03c53932a31", "34f557dc85066384ecb5e76000f22f01100dec9c", "ad8db9a00ca75933e78742c5d1878585cbf4762d", "bcbda7b0fb9897bb7c20702cbbd5df9d0a6576fb", "45fb9c434738bfef9fac631d2023680092a0c7b2", "4696031ddcdfab8b768817fd974b601b6b68c7f1", "715216a92c338a3c35319026d38ed0da0c57d013", "43c1bf9bd7b18c9603324c328f0f2696278c5327", "fdbd6d15f5be4d60592036eb21f4cbf68493d082", "3e98719cc0b570c7a0c7c903efb010075dd267e7", "01d2b2bffd1c6d77398cfe7011d4cbd3a0bc7fd1", "86c17a68aead58c7e8e26d9d58a857128da7753a", "8d23d1a1e8eb0e4fbb3bf4ef4fe16ec76f842ec9", "cb13559e23fd88363d7eba62a98a269e6e41087e", "c24d1b707d2a8bf019e11dbf35c457384e044548", "42d8a6b1ef5acaaf4640a8974c6f99d60b56090c", "2a3991ae72740f3661f98d2ad58a0595bbcd07ad", "0419726a00e16ea89868792ca94f5b1b262c5597", "faeb50fd92c9b4946cd2789ce5edfed6b93a058c", "76bce0419c3cb063032b1a4a53cfc618c093629e", "3f09e7dfd30acb888b6512638439522c9bbfa955", "280b0a4078232f13a7d4234a9ae176f01b762b12", "5daed301205f283c35ec809ff5b2df88d09b2cd5", "2aa06417fd361832df384cf7c003ed1d3c5ee8df", "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "042510b39c6cdb463610fdda2081b36ff469a353", "fe055de0e633d637ef80cf569f0b36d5ec8bc543", "a22c372911680793c7f94e3fd0b3843a2019f085", "504002dbd2de78f8d55c860a76a6ee322eb816a8", "331cc0b310251cb180541023c4e2d45ccc2ce08a", "b1bbe8b1afb97d590269bae95c34c87a8aa388cb", "a2c1c83e2dbeb2dd42b06e97807b287e48c2f257", "e188aa199d4307fdbbf60e9e6612bcb001e1cab6", "913352e569d3e5eeb90de2a7979533355e02acc9", "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "55355b0317f6e0c5218887441de71f05da4b42f6", "766209460c41d18ec357c6e1c8e79480b0c3c0f0", "58888b30e9123c1b1709be1efa92898e090d7bd2", "29ce8c5df56424b9502984f5d263fbd30bc777a4", "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "ca1db9dc493a045e3fadf8d8209eaa4311bbdc70", "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "308a13fd1d2847d98930a8e5542f773a9651a0ae", "07c6744e25ed01967e448a397f5d7e9d540345c3", "ea80a050d20c0e24e0625a92e5c03e5c8db3e786", "7ec16949adf6ea78054f6c6512f332a86960b91f", "6a03f9b4354cbe6bdb4c00eab3521a6463e563f7", "2fad06ed34169a5b1f736112364c58140577a6b4", "fac6b4562053853db517ff6511c6daff2e6a1a7b", "34b8e675d4651db45e484da34f3c415c60ef3ea2", "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "172f0c646a67f6398a15b9cc69ab85bfda616e35", "f5a00153cb49c2f66b072832adf053ebabf50850", "8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868", "df45ca54171804193c0b499e8f3d282cc8b06998", "631c4ca00eaa65b801c63d32c0f564e974009ddd", "92939c68b2075d0446fee540bd174b6da26fea05", "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "4abf902cefca527f707e4f76dd4e14fcd5d47361", "34ca83537d5d5128dd80cd3c4cae3c45fa5f2263", "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "c66350cbdee8c6873cc99807d342e932594aa0b9", "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "f11d3728c1e3ca14c697ea2c95f428d38f340554", "b82a4a0457170258aaf622b81e6f739a220398eb", "7abac083402d44a96769f9e68c8f6ad84ba80472", "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "63d64d07966d4d128581246a891ff1d3dd3a2a96", "5e47ada58f5b7817acc46240f1090ba51dd0c637", "2084e54505cfe4fd81005167b1b11d10b5f837d1", "147f31b603931c688687c6d64d330c9be2ab2f2f", "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "d70d0bf360f4007c06407b7634c617979ac703b1", "2fa4b37f91667970150481c37a1f4e294a49b7f0", "53492cb14b33a26b10c91102daa2d5a2a3ed069d", "441e7df66fe6052a6b770c3aeca4acd8dea98643", "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "6cde93a5288e84671a7bee98cf6c94037f42da42", "4d799f6e09f442bde583a50a0a9f81131ef707bb", "1bdb09190fc0c66f7e1a6deb7a0ebbaba6b2a42c", "dcca36085752eec824d489ed556378159464a0c8", "5645f567d83bacf318c9b8c4adb5e508b713e466", "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "e6a8951063c3e87c7e8458faf9e5c4584c32cafd", "08d2a558ea2deb117dd8066e864612bf2899905b", "f81f69570113e5171203ac121d1ec1d8b91df4a4", "3f95710d17556d5064bda289dea5adbce2777a59", "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "5b309f6d98c503efb679eda51bd898543fb746f9", "4cf5437ef31e587435ba1531da9109d714c0ee3e", "d2b86b6dc93631990e21a12278e77f002fb4b116", "218603147709344d4ff66625d83603deee2854bf", "952a8ef56f35376a52e4540d3df9e48f4077b09e", "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "1565bf91f8fdfe5f5168a5050b1418debc662151", "b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb", "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "f96525599a5abc069d2415950f6acd0ed37ab7d8", "5fdb3533152f9862e3e4c2282cd5f1400af18956", "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "fedb656c45aa332cfc373b413f3000b6228eee08", "850d2697fec9c2bb434907db1c0a11e200f32dbe", "1c1e4415f0acf5d536c9579117d326471f0b678b", "41d3603bebd818b79590383d94b5b36349171289", "6b7e552ca66fd3235e99115d6f072061b9ada181", "c8c60abb7cef001213d951d041e5f03042de0df5", "abc8638968909ab0fdfbf1049009082df554a49e", "9244a113df66d8af944d988596710698bea8a76d", "7965b2ce7d64991218515e20fc1fc0459fd20a38", "2056ba48e687d619c0ce69d0be323d48c5b90701", "fb0bbbc159dad0113f5d01ac736945feeced1247", "7c9d8593cdf2f8ba9f27906b2b5827b145631a0b", "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "998bb8720fe25c6b38fbc70b1142fafde46e39e5", "5961e59733cc7692ea86e9777039e6da2349ac1d", "f3196b1bcd1af733347edc923d43018724fc73c9", "19be4580df2e76b70a39af6e749bf189e1ca3975", "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "304196021200067a838c06002d9e96d6a12a1e46", "6843531814f19799c86af271b8643411360549e8", "08b28a8f2699501d46d87956cbaa37255000daa3", "71a353116bcd6c23333d311a5e54e4e6a48b7cd7", "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "ce8013ee63851ffbf14889a9b7cf3f907df40b9b", "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "635efc8bddec1cf94b1ee4951e4d216331758422", "ba12b1a8ab4995efb1aa1560bce19794a0358dec", "5dae01134bf11b48f08fb1cad0163aee7d123ded", "e8dc52f700f7aed02440b4b1441ff62213eff107", "c2206c3b3cafd1cf1694b0a231c80ab806f0f59c", "52c141b9b7739dbacc93e3e661a15c84853d4094", "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "bee609ea6e71aba9b449731242efdb136d556222", "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "8ffc49aead99fdacb0b180468a36984759f2fc1e", "02f94930219d2bb632d067ca2d31db61161ed5fb", "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "b986a535e45751cef684a30631a74476e911a749", "b5184bd428b9a89255900dce50b4320741706744", "5386c181d0b294d54123f001678d1125ca7b76dd", "d3797366259182070c598e95cef8fff1ddb21f65", "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "e7df0b3c8befa4263971d1b645545ebecdacec06", "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "34a6762ed8e92612ba4fdf02ee95d2ee0d587908", "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "a20f132a30e99541aa7ba6dddac86e6a393778e8", "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "0a058caa89d195930224148d3d2897c0c08fc668", "7627ddf1a676dd28a10e9f633d01611a1ab4a250", "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "463a1ca5f819af35e71ae47ea0e57293691507d3", "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "a8540ff90bc1cf9eb54a2ba1ad4125e726d1980d", "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "8cd61bb3469aa253d4411ef2295b50683a031d17", "592e555ebe4bd2d821230e7074d7e9626af716b0", "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "68621721705e3115355268450b4b447362e455c6", "d9912256502b9578cea7d149142832e0998d97ff", "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "bd6b974bd9544c7f434752e42bc5b950fcaf71ff", "608dede56161fd5f76bcf9228b4dd8c639d65b02", "33c1ab4084d4df64602ccaa1de4204e05c7e98d3", "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "110919f803740912e02bb7e1424373d325f558a9", "974fea3530307da6d22ef91c6765f5404514b3c5", "5bab0828e5dfbc13d2c2e3f0532edbb002995e64", "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "c0e9d06383442d89426808d723ca04586db91747", "61470aaccabd195a361112d38d80d3779498f784", "a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1", "91cc3981c304227e13ae151a43fbb124419bc0ce", "33469aa1130c6bfb838fbb6216f5c42c483a2799", "97585f0fc4e55fa849bae0d40a7a31a8f4dc76c6", "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "a77619c8d36c444cae62e767b33b2a8c4e30d4ee", "be79ad118d0524d9b493f4a14a662c8184e6405a", "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "5084cf08beb04ad91ef3c5649077255097d0c5d9", "864fe713fd082585b67198ad7942a1568e536bd2", "e87b2fb0d4e8403a1a63153a3330fed177cdff49", "f1df5f74477658df45814743f2e605656e8ac16e", "c4384c8b0befc5d81ebfa012f2b69091f65218ac", "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "2788a2461ed0067e2f7aaa63c449a24a237ec341", "384908bfad5b9e81d605344abcb9e99d8b0f4027", "83c19722450e8f7dcb89dabb38265f19efafba27", "8a77025bde5479a1366bb93c6f2366b5a6293720", "6f70e85442959079bfb67b925c660fe86cb4ba24", "76616a2709c03ade176db31fa99c7c61970eba28", "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "2f72cee2b9ae3d4271bda9f9bda1f11ad84ef616", "ba32bcea914685f2dacc689b3d9dc070eceae684", "5a08b451b0397782d81edb5b614bb2a523c6be98", "4c7a8bcd1f15b6a0f6416f20564adef71069785e", "d97a0343abdb6ff2cc1492c4c952654011736709", "9a9830c6edca29ca91f7bbc2683eb9ce43136469", "aec7ba707a37446fbf39cec960951ded2d575267", "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "67289bd3b7c9406429c6012eb7292305e50dff0b", "317f5a56519df95884cce81cfba180ee3adaf5a5", "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "19a0f34440c25323544b90d9d822a212bfed0eb5", "61dfbdfe718aca026cafa06adc63055bd0fc562e", "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e", "cb8567f074573a0d66d50e75b5a91df283ccd503", "e746447afc4898713a0bcf2bb560286eb4d20019", "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "d497543834f23f72f4092252b613bf3adaefc606", "e7711b98384cf72a3ef26a51653083e41781a6bd", "61d715d3a668780eef5f019450d3cd1378c6b02c", "01b94ffeef22187587a9d3b9aeefa6377f85baa7", "a34f8768b10d928aa4f4105afb971819c26a2219", "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "2788f382e4396290acfc8b21df45cc811586e66e", "ad3be20fe0106d80c567def71fef01146564df4b", "207e0ac5301a3c79af862951b70632ed650f74f7", "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "4e6830f272eb7dabd42cf14133c57070dbdf212a", "eb51b630b194f6161dadeca54b3d21330cde9ebd", "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "de3eadd9da762010066eab138cbea5fa3089a290", "805b42d42a52e1e5e20de8950dc18ec9323575a7", "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "a6e825aa233e0048d70a9a2c6a4ca9322331aef3", "a3d11e98794896849ab2304a42bf83e2979e5fb5", "46ca382cf66af47c356c2cebbd967bbe01b1a735", "43001722a7b31427d1ee16ef47c0482fdf552011", "4f6e1319c795e7ea1ec220a007c04e9cf37ff4e9", "6ce6da7a6b2d55fac604d986595ba6979580393b", "df527756b33d1c2722bd005b246f7df75ea0520a", "9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a", "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "b54ed594267ead88b99bed3230e0453f54d00873", "61b0cfd75f5bce59cf79abb7b602e404fa5584e7", "6d902439b736a7546dd8872b307fb760087ca629", "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "fd0e1fecf7e72318a4c53463fd5650720df40281", "adc95c86c5d5288b8d7d096ca2b77667826d985b", "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "b2c52de097b4e903a1ed487ac8476971f3d52a34", "d041c8cb05a5555046f6e62a4efbb964fb560c31", "6a699b51c37b532460483cf2eaae25e4d868c73c", "cd04c94e522013f531b1a8cba05c80762f09b6f4", "99bc96eea249e28b3e741fbe15757a38d52631bc", "8f19b4212d0fbd955f8a464530188ce68d0a87fa", "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "ac5fa28687217818e698aa102577166609a2c5c4", "1a40092b493c6b8840257ab7f96051d1a4dbfeb2", "e0446d14d25a178702c10752b803966a54b539e4", "5c4ce36063dd3496a5926afd301e562899ff53ea", "4ed2d7ecb34a13e12474f75d803547ad2ad811b2", "8e3c97e420e0112c043929087d6456d8ab61e95c", "06a9ed612c8da85cb0ebb17fbe87f5a137541603", "1aad2da473888cb7ebc1bfaa15bfa0f1502ce005", "4dd2744a37bd1e666346a41dcd2a271945c74e2f", "5bce272adc5bd6934fe31ae3c648b4b62191353d", "3d42aedd347f927a6bce28d0fa509c6d2132c11f", "37a4199e63312f7901af853998951883e52ab062", "1b3210660d10318d4fc65b9de75d2093a2de543e", "50997081b89dcee1c304a16f714385142d512fa5", "67f88f37e4853b870debef2bd29b257b5b19f255", "36cd55cdb1b032c8f29e011ed0637923afc46d3f", "5e84fd5c73dfeea9d51e1cf59ea6f8ecf2097603", "a625b55cf8914d6f275478773b84f58ad8ffdd85", "fc50c9392fd23b6c88915177c6ae904a498aacea", "080e81f425dc129c4e4022568e2a23674ca41307", "18101bfc08381ddea8fd944a3300dc8cffe34e63", "107231a511fa981ac8d13723d7aea52847580930", "a8c58660bf2ee1fddc3ef05ce52c42775eb0b2b7", "f11b0aec9dba441d80af3884b2d79e6d7a35e9a3", "3564ee7ead6263a6a83107ec9610f72498163f0a", "08efc3cd63b5657ac65e68aaaa9cbacfd2596fea", "2862615e5767a8a81257138f04de6c5bd33e2984", "2e9cc64376ce44c6ef848a13aaab26e3878b9ec7", "d49d1d6239e3a14da48074ab7c2f219d5bbf8861", "71f9bed14188d861f248fb426a26a3a0b400843a", "7404a8d77ba515633b61c68164210d3422d0aaf0", "10ad82949b65bae59410aaab5aac88d2caa6a3d7", "00083b3b6c356aca3eccfa26988ce52a6682bd6b", "31486c9342901ccdcef5a37c501ca9c56a1e3bc0", "2842cebee2793c9b4f503895a32b328b7781b60e", "4dcff552a198b58311b04935ea2250385f54c585", "359fda4ff19dbd3634b867fbb3ef3cb6812691c5", "1f4b741a9da2fb7623ff68c8e1df3f3cce5e2542", "d1e388269ea8ce7074f804f79e158038f629a0df", "5a48999cf31b26191e2db60d80794163d5f8c43d", "0d72a62b16139bf2c0bb4f91a9bb72c00e5da6a4", "b7c8452ac9791563d9a739bd079b05e518b20aea", "b59df3832c3914c9aefc7f11017360a24bd11480", "3ca4ce8ab704b44701bf7ef8dda01c8dbb226fac", "748260579dc2fb789335a88ae3f63c114795d047", "2917808d9018386af42e249ba4fb94bafcda54e5", "8546885e83f7901340c7893fdfc017cef86d910a", "5090e374a0d505040ca6fe957936a12026f5347a", "6446089a2a383ad9e4315aea0199084dc61490f9", "2deed841cfde51ce3b4e90880894efbbfdc18f18", "89dcf3d6f42f1a2fcdb0c81982ac1ea9e4ce2339", "f616a39587de5a965df965cabe541dfdcd604466", "c42adbb77919328fad1fdbcc1ae7cdf12c118134", "071777bc168e9940bb04b207d3b061bbd5a0c01a", "133b0d480a8fac7c7e0c7511b5bdb0dc7d387d42", "d20efdf05444a9d7509b85f6d5cd59359b1062f2", "85780c474c20f8d824e57081521e7420a4055f65", "a671cb0d366ab895249349ca457673150ecc8ee2", "7cf8440b1c02c021f6ba8543ad490b4788bbe280", "74cce11cfd25618b0fee0bcceb2f23376121a1f6", "0dceca6bb3ac648c611f7097cf52a9b7f59be6f9", "c160bcbc8f0517a97e46042c84343bf3f0477478", "b1103fabd55cc5022be550a0fb2ae25aae3f2d23", "64a62496e20d8d6a0a7cd0525304b67b848ccf41", "51a128eb0d72f318e9d3617ceff64539dfeaa608", "aa299218f9b7cda78c440117f12f193c3c4a86cb", "057d879fe2d6c40ef79fe901cc62625a3b2ea8ba", "46c73ac90c8107e9580950eef9df6834edccd183", "dcf17cc3b4f8519a6789c1ea086689bcbc1d6f11", "efa2b259407b5b9171dd085061d05b72b6309eb0", "dd0c747ef631c733fbeb69f82b08e6e9ca0d1c49", "015a5fde8c9c89ae9ae8349183018acb8f0e741f", "6b99cd366f2ea8e1c9abadf73b05388c0e24fec3", "e2d8363021947b6ecee6f8f8da6f6571cd58d88a", "1d4c2dd3996cb3d87da6c35d72572637d3175ea5", "2c2371629ad7bcde46e62859b2e812f6e5fc64cf", "5b300b85e10aa312dfe31d8064d86f764d0aaa68", "4fc67275bd9d68895933c3baddec266402cc2412", "daa52dd09b61ee94945655f0dde216cce0ebd505", "62cf98ce9c28dad430810a59a527df50cebb65fd", "6c26743e131a67b25738beffcee05da6af5d87d9", "1e8fd77d4717e9cb6079e10771dd2ed772098cb3", "1b6b67dc0af67a39cbcf01f68bd3aefaad058c10", "9507e5c59c45e68b964fdaf40e39569dcc754be3", "0888b6904ef12bc7a3c59fa59c4051d5002de80f", "fff755ee8522d5ab0931babeaded2f9113c44b95", "5a021bb28e8c62a8c21fffa1ff35929ef2edce8d", "4839f861709e6ae6d4d032228473ce1764acbdcc", "38a9dfdf72d67cea75298cf29d3ea563e9ce3137", "078e897aa85ad4e382d6c68fd78fa2a6de510b98", "3c6be0034477b07222f41f6fc558a64f0222a192", "9bdc406ad9e9fc0ce356e6d0e53780534f418849", "c268c0d62eac349468f786ac50342213ef7865e0", "4deb349f0883cd1ad8c7b710dd4ac4e91e69f7b4", "929b889750747818f75a7974b45a8d309761e5b1", "6275aa21331a2712222b7ab2116e9589e21ae82c", "77181ce3e55e25da06d0ac584c3ceef313bdde3f", "14a7e7290f81e313804a000b125bcd1c341bf9b4", "3837cd26a92e6c20b4351b3fd7e83a422e56cb89", "3597dce344b088f913689abde927a59a0bedde48", "1a30e44d6b70d11f7b270c87eac099b75b2263f1", "fccfd318e56b5c5ea6ffb93f422b40eade39661e", "c29f21f0b098123e523df17b23fdc4a82940cabe", "48d299fe3303c80f840816fc76971a42b4a8b624", "50d80e2020698b4cf49e6b820df0aea497d8fdd3", "40bb3ef2b4e556a3646a8cd77364a89b8773e4a4", "3154d7479881c7efd8a50909af921cfa8cff8e2e", "fd36e838ffc2f56afdbd87a98f1dc4e05d20ed33", "3a192e0391c357124cd2ec2287b1706f523ecdfd", "1f7b2087dd0784a04ba4d2a68c2db9588f36c33a", "3de03bdea67b43d5004ba5be14706975dfba1994", "b3ad7bc128b77d9254aa38c5e1ead7fa10b07d29", "2a5dc32ba784ff30c73011414bfb679fbc203069", "dedbbb6e588e77969ab87571917d4f84a3b1722d", "ff59ad8cea158ef1c2ef15e43517e8fa33df97b1", "0cd8fabfc8e22be8275c317e7ccd37e640711c62", "20bda5e991a7c0774f2767b80de0ff54db1adf1b", "e227058f661d9dd644753c4f81c02b8e46ec89b1", "3dc2bbbd0c17643a8cd08ddf2ba385af2fc4b405", "78560fc9c224c1b605b3ed30cc3345863c5988e2", "5342b6e9ecdc993da2cfd992b4939fcc6fba231b", "9d85f3cf2cc464b67ff0ead1a82197878da7494d", "7de1d463fef3c63cb228f5b4a6a72e62f66630e6", "d94136016e14bcce68ec68b443c9d1b29535ca3b", "0ee7990e2ae054aab5f1fc08670fe5eddb96fb19", "30b7d284c29e49a55797041dffd26d8cfe3ad9ca", "39d900da87fa2f8987567d22a924fb7674f9be67", "73298c5610004a8337baeb79f33c1519c0ba59e4", "990bf0171deae7f788f4867c155a276fca5c891a", "edff76149ec44f6849d73f019ef9bded534a38c2", "4289f9f727af39414537a97e5eef90b06115a5db", "2d4a3e9361505616fa4851674eb5c8dd18e0c3cf", "30bb55d3ef6905cfeedc12aa0dc70ccbf85c8293", "0229829e9a1eed5769a2b5eccddcaa7cd9460b92", "158452a25143013e4c406ee2d41a7399c34df3db", "603dee8661aa9bf0d7af6c61fe5fa2e85227f166", "05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2", "3bac7069b9d3051f40ef4eecacc517d02107ba4a", "114d6a2503847a72afeb38e79243ad10abc7e123", "1b715b4cef51be6bd5dd73c0d30257d853411a52", "78cd4291d123c4835b0298045aa89ba6674581b5", "697e6552326bc04a80b510f91e3a83c23159fa4b", "bec3c3e6bb9c738dad942f00fc69848018c3b1cc", "3077fc0a9a1d41dbdec150b891cb2d555e4c4ffd", "1ae19084d2cd53c70d7e44d419df32560e417fb9", "56f5a94047966eac4b2f97ded4b50513f9a09951", "4213502d0f226b9845b00c2882851ba4c57742ab", "e8de844fefd54541b71c9823416daa238be65546", "590739cab80ad1219143401be0d929bc2885901b", "68a3f12382003bc714c51c85fb6d0557dcb15467", "cac571e2e2d37b712055196e87d57a8da742e7cb", "0f6d068ca799e99100fa5ff7503163fd1c9ae581", "26c8ea087dc0744240ee955db0daa9f4355e4f60", "1ff616ae8b61f8167f2d626b7c1a36e018b23e94", "3726b82007512a15a530fd1adad57af58a9abb62", "1a645bcd029cc5ce21b973146f21a9655047cc96", "1b6d41795de1fd9a0da4227c83dc4dd038a229ec", "2da2ae720ea37fffe7247b9cf977fa86b04f97f4", "f523c55a0a8057c5b08add761353ca79946feb07", "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "0d0cee830772c3b2b274bfb5c3ad0ee42d8a0a57", "f45cd366cae85da26a0692fb6eaacf8579eb5a99", "4a70c6e14bcd7a44838fdabdcdb33bc026c907b4", "12ebb51d50f704b5d0a8d821e90dd336175ec8aa", "0e01db4197f71450118f81ae5a69ce4916b46421", "bbfe0527e277e0213aafe068113d719b2e62b09c", "f51d9d34635ad9f6310d767869710e78fc4174bf", "3ab036b680e8408ec74f78a918f3ffbf6c906d70", "5d5d267416aeb2bbddaf06f703e8683753abdcd0", "4d925db7c9e3cca2e8fed644f750d218a48cd081", "f104dd1b606f402c4e29edf52d45b552947671a2", "01aad32349489cabfcb619024b297d8f854e9d1f", "3e78402eab72d87eda1f0b44ca7ff54ba0b6b914", "92dd389bf0ca3d651ed3be85b14e6a31866b1ed2", "051830b0ea58d1568f19ec3297e301d9789c9a76", "22bc12fb82db4c5a5f52bd1ba70e25ffac94f428", "4bff304627cfe155fc7f8e5a21ed0599a894bab2", "107c5030f2c55e0a7cf4c6159cbbd4f719b0d9fb", "6e97a99b2879634ecae962ddb8af7c1a0a653a82", "8d30d06c0591e08a0b37ffc565dab376885499ab", "688f5cb02dc6c779fa9fd18f44b792f9626bdcd0", "fcd248fe4da9d719ccb3babe4a82bbd7d7b6935d", "b3d592bfbdeddd4074cf7aa8a832f13cd9d3be0d", "081307db6d8d709af26f49d24041086bb09abfd1", "4745baf6c4ae7a088f03340fcc05ad7d18a0aca2", "8a755e7e6593d210ea065b3d85dc985c14dfbaa7", "54a2fdd4402c45abd7247e4c393ee58528baf8ee", "2fa23deef68f0944fed54183c79f835df2d1747c", "eda20a2f33d0f6db44a2e7d060efad3caa6621e0", "29b4815e4ed9b7d3d53b5a8742a00d8250f05429", "414315d44a489d09c6e1933033ffba6396974ee1", "cb08f679f2cb29c7aa972d66fe9e9996c8dfae00", "3dedff7d7813af193589e44c204b08f34c297764", "d544cd6baa2dca816d860aa0c037911b71260e3c", "0baee7f68c08f1a6b5190755adebc57145d18ccf", "6c06ad0b4b7c981089b5a8037d5b9f9e5b928196", "38c33ba18b909f5e40ba02c60237c64cc8011ca8", "00ac5fa58d024af5a681e520f49ea0a2dfc6c078", "f62d29f9e1d426297640c7f0e43961b181449554", "f9cde411f21877372cc411c8417c8ca4181cd0fc", "27a0d94f047a5ae719f9e13ce6407eaf31299431", "6eb7ae81554ad4db92ee6b578f47be659c8b9cbd", "05d0c5f579314e12c35fd35ed0858255d8c48887", "f35acbb0b2870e5735561196d246463aec8ae7aa", "33f3b212d665d769a209b7a278dd9907ae2be952", "b984c9815fd556cc845adae1f9a206d2a0fa2d33", "04afb510e11e963fb18e3271ac966164db806120", "08263a9ab40ad37d0a4368f2a089c3d44c770d16", "208e903211ddc62b997afb5a1bd3c2c43e0e69ee", "c4cfdcf19705f9095fb60fb2e569a9253a475f11", "9772ccb519268f067da7707fc199ad942ac63c42", "b86a3953682331302eeae1d977b1306038d4df53", "19150b001031cc6d964e83cd28553004f653cc24", "42832bcb36ee3f69327c38d0d17e6e2a73aaa2a6", "7697295ee6fc817296bed816ac5cae97644c2d5b", "8e4ff1aa78f8997b683f873c46999f384db4de18", "b1b993a1fbcc827bcb99c4cc1ba64ae2c5dcc000", "01a903739564f575b81c87f7a9e2cb7b609f7ada", "de02a762f64fc11ad2fc2aefe62361758d0e0786", "c0d5fa2e57646f2cc7dbb9633261af7d20f8a51e", "be49dfb17f3743493ce77fd8e3d440ded451a0fd", "22f4427effd952b6f1a5440f18a7182cee341bc7", "c69a8a9325929a55f0cb6bd7f99a57985f7f693e", "fdc0754852b9c8366341972f1b5b4320b48d64a9", "719b741280607f258707d102feeb53dacf00ff8b", "8e0a86634b286567433736a667e3a0bb7902470e", "9cdb83ed96f5aa74bc4e2e9edacfbb5263e8fc37", "d5525d00bc2099700711751e33f0fae9a58577ca", "a5f449c715f0e0074f29773db3b64bafd435dd38", "d2b6c706f1a165db60cfa675bd5bc62b7a2e1230", "5c6215a32fa943d07cd2d0401d646f93faaf34e1", "5b249cf39370503f22fc7d4b257d735555d647ce", "ac4c19e52a58aea27593b99f0ebe5316339b9646", "75bf811670e6aa344f1cb360d43cd6ba10919ad4", "d90bcce87174d2e85004036ae3e977c1ef222695", "4641986af5fc8836b2c883ea1a65278d58fe4577", "05ea7930ae26165e7e51ff11b91c7aa8d7722002", "14761b89152aa1fc280a33ea4d77b723df4e3864", "ab1719f573a6c121d7d7da5053fe5f12de0182e7", "dab134705fc67f560b4276a39a8219ed0b3d572e", "3cc16be882dff500b8fce3d7cba3d79fdeec4db7", "60f5be7ed46bddc082088ec29e2506b88be61732", "7cec368016b146254817d5c0138876d2772894c2", "4edeaa65210966cc89890ac4c19ec447f000dba2", "2e480b3ef788512d647129509ea2e7d20464bf45", "033e3fe75da26d8d3dd3cb0f99640181655e6746", "72c248c8d3bd76e2a31963aad7286b8d06ab7f8e", "936c7406de1dfdd22493785fc5d1e5614c6c2882", "26534206831483d9f5434fe2fe0839afe83cfca3", "5ee0103048e1ce46e34a04c45ff2c2c31529b466", "0eea197144b631b33857821559886b6ea063b68c", "03389a530f52c2397b7507376e25a109c24a3f45", "73200504c7381c48c900894455995b9188676cd5", "2c55ac6330ce91a24131a81807237807134ec371", "249c9034959448e4ca96e9e753570c20ccbd90c9", "48b38d157272f03f6b44c0df61130534d11d8569", "8d44aa6745ec0b30f1402531b3419f3310587dc7", "0be8b12f194fb604be69c139a195799e8ab53fd3", "6e60536c847ac25dba4c1c071e0355e5537fe061", "11f515ead5b4a7259668f2620e808fa8ba5ea65c", "22f2f77120cd28e9b2516179239380adef46b1be", "3805cd9f0db2a71bd33cb72ad6ca7bd23fe95e35", "c6fe7056e52208bc54f52ef9ce6b5fad3aa36251", "1a6d748365dbf3b17f2db371a30469478ee7b142", "13d6dde8767ac7176dcd6d4367974292bc627863", "2af06b88444cfabf92f54bcb3a31e9afd149ae69", "cd000f4a7a64db5e00b200b93cc3f13c9e313c01", "3d4e6fb9c238c490f57aed72bcf9a81ea5f28972", "83bd99dfa4b9e55adc229765449528ca8b1b2fdb", "abac0fa75281c9a0690bf67586280ed145682422", "08a4022e30f93cac2e55cf6b034a09a40550df45", "29c721f628803b54bbc0eacd27e60d94772cc2e4", "521619a352467180fc702a43090339f0257a4a55", "7542d0692e8ce1aeed3717ff20c7b88072269866", "0324a22f71927bee2a448f800287cde562dc2726", "d0fe63de22729bcecf12a84554cdfbccdb44c391", "d970117b1f976733d033dfd9ed374e77d0bd970d", "b840b2f8221363a95f596181df9f6625ab77bdcd", "d096bdd5743cbb33f0cd0ae984d188b2c302f054", "1f7127b9ae86d7fac305c6b824801e455e82f511", "8164ebc07f51c9e0db4902980b5ac3f5a8d8d48c", "8e3af624abec623a06535847e250dce443f040f1", "af34388e69800a168876f7446a621f68ca2215c0", "2beb9777bf452d02f9bec5275c100f4a736def10", "275ad26b7e4d7847f7ad4eedda65f327007a9452", "d972b4da29aebf5da7c02e77a9118b0f60895985", "151b87de997e55db892b122c211f9c749f4293de", "53288f4c3bcb993f8561b4af1776ec3145d7a051", "143fde0dab5b736e6c2739da740e461707ad3391", "1d524c57214384ad6a003c54b1918130744b69d2", "4be79ee47771c670aa63bcdaff870f9dd8575a0d", "052651838d27835f39270101e140055e60a59d68", "a07f66b3d4c88b3ff3f73503c9701593b56e7e6f", "293ca770a66313c9427dc71cf86bef7e1b94f2d9", "0a6548b8c6e5e50604c2e72ad48a721bc4c2bf76", "0ba87571341beaf6a5c9a30e049be7b1fc9a4c60", "191f8b564c4f90d2ba7423fcce4efd7e902f4f77", "89fff8387432878db240a044a98ff9c9200f3197", "b0fafe26b03243a22e12b021266872afdb96572c", "3229a96ffe8d305800b311cbdc2a5710e8f442f4", "ab98abfbdfd700c27bee31ca1f8850db72120c5d", "6e6923a8b39cd22d714ae9364d18bec8178e5632", "da5075fa79da6cd7b81e5d3dc24161217ef86368", "d86fabd4498c8feaed80ec342d254fb877fb92f5", "0000fcfd467a19cf0e59169c2f07d730a0f3a8b9", "67b38b88f3b3acb4ebba3c1941cbab7290bf59fa", "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "5291304833a3565f8a2b6c13c1f12e6841925a87", "3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87", "c54e00aadcdc8c4dcf556dbe4d30ff3952df94f5", "9c1b526dc9adba029809e45693f758c2af913f60", "7e60b357a668b685203d50742d25927b71c43c2a", "59307b897ef4cc4bde2d2393f97310e7d89998ef", "08aedeb74dda306a14c699ffcef4f434a60f34e8", "0709f6328229a79c44be715db90df028786a3129", "0ae3182836b1b962902d664ddd524e8554b742cf", "36c91b1342c1357877e89b4c43f8eadb39755c0b", "bde3c1298d4136369c8607dd5dc3f0800a27a8df", "03bf59f6db62b5da617e42913e9cbb1e58b79f28", "759a7e443f725be44ded970745c5422fd3196127", "de8cd616d90964147dd0af622b76b5caf322ed96", "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "c8671a739a95f57946a625c3eada1f4addc60aea", "b2e4c58e5b7cd5db446a76551e9c37b650d5c2d7", "05a3f10b6cef0178f5d149ece2b0f08e8b6af7a8", "3436b30d5c09a089252cea893fced7b3a5cbc675", "e178ce46d3a490a5e7298fcf6da31f1262fe5e94", "3d99cf9ab3b7aeea322c3c6b10fab3fa3ffa0489", "0760e5ba407eb29d7a1d1baa7903478f6c492dcd", "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "15e28e884fb6c7eba2610e3dfcd5b40dadb14155", "f8403bf4e3060487cbc8acceb1fb256a4f1cfc76", "734e850ed1187a2abf91187c00a46c3ec172060c", "83991b798dc4974c1ef1ee00889e6d63fe163899", "89588a697c8b81e38d3793db5055a65c4abc4845", "8990cdce3f917dad622e43e033db686b354d057c", "f1af714b92372c8e606485a3982eab2f16772ad8", "811784aecf0ba50cac84979ad45ae0947f678f1d", "bdf46e52b9cc967628f423b1a69555a1114cc3e3", "28ced5aba250a35d38bfee1c8ea220c479f58ca3", "c1c253a822f984de73f02d6a29c8c7cadc8f090c", "11155ee686bfb675816a2acdf5a8ddf06e67b65f", "468bb5344f74842a9a43a7e1a3333ebd394929b4", "09a7aebaf7edc7544b7f46b2f58a437379b4feed", "c74b188e7527a41eab514d4a5f72660184de3ced", "e8410c4cd1689829c15bd1f34995eb3bd4321069", "c2148f81ffffeaff3fed49448fa5485f65917865", "a729d0243b1e3b055f44248a32b3caf20b7e93be", "402bb518a5a5fd7f7224a83a2d1f5e6be00a7787", "0bf1f999a16461a730dd80e3a187d0675c216292", "19237fd84387378635ae135cc53ae934267addc5", "a80d2d403785f0424fa145b9b3a678a01213dc55", "ee0de878eb13914c59bf17c4ca5074361d01d593", "f17d8f14651c123d39e13a39dc79b7eb3659fe68", "4a03f07397c5d32463750facf010c532f45233a5", "1ec98785ac91808455b753d4bc00441d8572c416", "7393c77eb8addffbb2c4ad7be6f39632feb35835", "3cd380bd0f3b164b44c49e3b01f6ac9798b6b6f9", "cccd0edb5dafb3a160179a60f75fd8c835c0be82", "d0655f12fa9c2fd60b8ab9a071cbbffe7a39068f", "0f47af453c221630b63a79e709b5dc78dd1c0499", "5799d5c6ee7bca0235a528117f8c5c0ac78da735", "c54fd2ea5fe45c1377a45c396fd68d3bc00a699e", "3a37f57a9b94fff82ffea4e77803ebe5ebf6401b", "2c848cc514293414d916c0e5931baf1e8583eabc", "ce1466c5656a1af9078299aae69b46a2cae7146c", "fbe9730f6a95fda9b2972a845586237f954cabfb", "196c12571ab51273f44ea3469d16301d5b8d2828", "ab8ecf98f457e29b000c44d49f5bf49ec92e571c", "2b8dfbd7cae8f412c6c943ab48c795514d53c4a7", "bff9bf6f8c4ea9ffe54518af985b87243c15c671", "897aa4aaa474fed41233faec9b70b802aea5fdea", "1ae15cde8586199f0359d4cceac3b1e14f9243ac", "2c4def184f940e2dd4302bdc130999c27054de3e", "c82c147c4f13e79ad49ef7456473d86881428b89", "48bce5028560140ad3fba0bc330f27a81200a81d", "fd554183287fec879cc085eca6350f8769ab5d78", "1d5901662dc4fa5be2375f35be07b4116fd450ea", "b2749caec0094e186d3ee850151c899b8508f47a", "6a5cb60fda310ee2528e9877bc5d2a07cd72505f", "52e270ca8f5b53eabfe00a21850a17b5cc10f6d5", "0418cdad1a10b58cf1a526b5a65a465f9324d67f", "1599718bf756a0fb7157277b93f21cfcad04e383", "352d4905e3a10afcb307be8534e4f4ee0be12551", "29fc4de6b680733e9447240b42db13d5832e408f", "d74e14de664be4b784813d93e260abe379e2602d", "bc0bfa9cae364816dac01151d96d0335eb8fb177", "ebb1c29145d31c4afa3c9be7f023155832776cd3", "438f1841a0b09c96759dc870d663d837d07388e3", "7b4b2787aed8b1652f5268c6b7dbfd63d9795939", "600075a1009b8692480726c9cff5246484a22ec8", "66e2c3d23af8ed76b116121827b9bc5e99cf4acc", "f17b51fc9143d17770cbd7164d97e18f9dd6f9ff", "3180192694594f345f6fc5bed5a473762dfec522", "bb41e30d8b2618f215a15c56f3264876d308f546", "70998e14f795d82e367d890aae5476a91472f268", "d57c8d46a869c63fb20e33bc21bc2a3c4628f5b4", "26c591cbb35d4d031d13e27a59adccb74bc89bc6", "a39d318b68a2c262b6351a05f447dfcb0555da88", "08872d801f134e41753601e85971769b28314ca2", "84c26b1ac5c202485b743392fbfefabede8dcd33", "05c43f1791787e78e343536a65a2853af699fe68", "2b0ff4b82bac85c4f980c40b3dc4fde05d3cc23f", "c2c7066b485c2cea70320af5a9fcee975e52d872", "929c3590a6c4e52fece92a8c31e32b897e6f2ba7", "857c64060963dd8d28e4740f190d321298ddd503", "3288e16c62a215254e2ed7c39675482b356c3bef", "f152b6ee251cca940dd853c54e6a7b78fbc6b235", "1d1e78bb93590a86ecfd2516f4e5789cc05d76f5", "980266ad6807531fea94252e8f2b771c20e173b3", "5633425e52156c8d5824d033103b237b1e579539", "7b0e81249159686337ca2cfe81662123906b6b26", "1ebc39c63a722710038c2701cdf681c0c10169a8", "50da9965104d944a8ae648c9aaec43be8ea1c501", "c7bc67ecf4fd60e3323094a5ef8de6f2a525a618", "4c8c89670a55e65ad9b92327d3386b5701dddabb", "1207ed9a9d8784427417c3efe788d2d76a7dc216", "3868c75855df640a73b1fcdfa5df1bb92b878099", "f2977284cc3c6653df957d886101cc485de1a9f9", "233a21100a2728ed7fb9109495cd640ed76011ba", "a3334cdf92d1157dd691d88189e793d18164cd7b", "abb74644e2bb1d1e8610e9782a6050192c3ceddf", "6974449ce544dc208b8cc88b606b03d95c8fd368", "d5b73e7b5f2a72404a6c80c9158ee1d109cda7e3", "aa6854612062edff9978b33e0a410f2717bc3027", "80f281f4ac7e06d1741b91279de5b12a7a167e30", "d628aabf1a666a875e77c3d3fee857cd25891947", "b5877c53c4bbb8b4090393c7c3f1b5ca34655cfa", "95616c511e1eada5c4fba090fe739a4554711e22", "35883d90bbb84a598c85ef8a324f653da7b5a0fc", "4272734bf16a87f22ea4ccc404d955ddfa745fd9", "30722904751c2e1cf287f268befdec2e4223b086", "007e269f105b44042491537d5d7c35cf5b553feb", "7c7ab59a82b766929defd7146fd039b89d67e984", "e2f7a7b3cf0681aea61a99e5289109c2d7f445b2", "c69de80ac804ce2bf7e47974ee984fd8a745a5d7", "3377c068d661cdc35ebc8ef54dd69a41ce3cd55b", "01b4b32c5ef945426b0396d32d2a12c69c282e29", "83a65b371a2095e9fb7c3908dd5fef558cf99ce3", "0ef71bc44dda56495447bbdb3017fd808e765645", "34669c5ebc30be367f231cb2df705e347c34f07a", "87c2806f1fd20287f00b43dab07822ab13035169", "af1a6c35f5d75122756d37faed062d5b5cd6bc71", "ed717bd09e8344c2cfa81ceedfb8baf2105708f5", "3c9f2444b1de1bf960664d8c3109f8b8d5dee44b", "33d631ee947ef0cb184ab6b172213abea9f540db", "764193fc925e817a3afe5930e1399268c9eaa136", "e686e9a642880662e56558b13d3d32f051d549b3", "72cc1aeb77bee20bc2b98e6d2a7d754a512a7a94", "174c8c8a392f4c37df712fe890e5c81cb8e60604", "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "7ac6e6a4a7be438bc6aa4626d4beac780b875999", "3190e8e4617425e9b45ca59d4264c7db735bafc6", "9727c74a09aad74abd67ff1d2dff083cc73d4a2e", "1414d4880e368414cbbbbd215e8b0471f185aa03", "9a601fd18aea081d28408d133140ffb1f6dfcda6", "5befd78017c51dcc6cb1394e1144d50bc936c7c8", "0efb7d1413ada560ab1aee1ea4cc94d80737e662", "5725c06b406b5291915a6bef8b5c3d20b2873aa0", "bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e", "e8686663aec64f4414eba6a0f821ab9eb9f93e38", "6a211543f138d899c1fd98e0ac491ec9689ac167", "f3262127af7729ff295b863a217e2395b1c005a2", "2804e97b5c9dbaf4cb057c14478600cb2f9984de", "b7ae23d8309eb217e2d83012c614140bf7e9a512", "23a8e37363ca40515c7d66ec33cfce3c8c1c7909", "8233c1d79ddad9d969b995d4ef2c6f8ea9acc646", "80fcc4e66906d04e14f5ebc68b0a17d4e5ff0194", "aca232de87c4c61537c730ee59a8f7ebf5ecb14f", "6f08885b980049be95a991f6213ee49bbf05c48d", "116cc9e15e17dba817ac020732fbec30026e5f6b", "00bd394ad1373372ea21297789bcbfe1693885f5", "976e6f7612df76306d920381e4d9cf2927dcd430", "0c5b2a03df2ccd6f236c631f073b6448381a429e", "e39a66a6d1c5e753f8e6c33cd5d335f9bc9c07fa", "cf09e2cb82961128302b99a34bff91ec7d198c7c", "0875af310ab8c850b3232b3f6b84535ffff84e5d", "bbf5575f0d20b79b61c8c0d8b7c2a57224c359de", "17f10af27762b443e4a857b9ffd11aab68524682", "0c990e779067c563a79ae17c9d36094a745d7ed8", "ce8efafd57a849e84d3f694bf12a21ce1a28029d", "8fba84af61ac9b5e2bcb69b6730a597d7521ad73", "6e318d89e8e3ea0ac40be9d06e6acfc624b30f76", "bc27d28a7f694025deb9f46432e751ce10ae194d", "998e829cc72080c88a780f322d6bf7ab78dbd743", "ee87aa52d9642607d86f011c0d7326c4bdc63121", "247df1d4fca00bc68e64af338b84baaecc34690b", "1ed6a05a226cb0d09afd76ff9b7560c404d8eb49", "161eb88031f382e6a1d630cd9a1b9c4bc6b47652", "06850b60e33baa4ea9473811d58c0d5015da079e", "20eac6406bc319a31efb01f7242649fc2e153457", "729d23a3a439927f1917cb93c9c20b5c426065b3", "81f3306d1115004a4a54a7e411715014e0631821", "d7d472adfc0c36b964081b4fa8add4c86de695ff", "22086b3c772ba638e7d50b10bcf544abd93c9305", "2ec6518420c6f5f4e0a9329efa55acd896a92a0c", "01ababc0985143ad57320b0599fb2f581d79d3c2", "37fe5b28d4531c93668d4a56d2e3411c2c5978b0", "4233746214b73039bd80d9650d53651ca24440e9", "d1cb86a07708c76dc17d411e8558b17ce211ec8c", "794a51097385648e3909a1acae7188f5ab881710", "288bddfabe739b32721df62d821632e3dafed06a", "d0016a2b54b115c6e4faced5dbb9598c0813e22c", "8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e", "f28ef0a61a45a8b9cd03aa0ca81863e1d54a31d1", "aa9738c45df4c71ab2cc98384b4afb0fac9499de", "1aad5c9123bbe32ac03578b5af5fa097049f6bb3", "e813691808adcd7a0151fea51313dce9954de8a6", "94106ca511a60fb4fa8402fef4bf22b9ebef83e9", "22ffcf96be0e252397962f51401e6cc70ed27fbc", "adf423f2a76301e34aed59d4e6d6f5378dcdadb4", "ac206a97e981df4514dcae28442beaea31845f35", "4e71e03d4122aad182ad51ab187d4b55b41fc957", "1015ac3d9d9b93227e59328160de09c8bc2c6d2c", "de04e7b854a27d514635e51221a233a3c27feaa2", "49d7fd8975413fb2912e111093749733712210dd", "079a0b0db150b6bed24e06e3ad00a73c9fbe00a8", "c84b2cda2d645475f25d8b8f34b8f21ad3aa059c", "c7774fd600630684cc1d6be8313e2935bb198880", "7a334cd0be8600f92290c082113eb7f65d6b2f27", "98960be5ae51d30118f091f7091299a49f2f34bb", "3b38dc6d4f676ace52672f6788b66c9abb10d702", "b259c82853a563c1f7725d37aa74cc4a6b6d5e3c", "41a174c27f0b431d62d0f50051bce7f5b3b4ce64", "09c34a4829eb5d37f763e06e5f044396d518dc2d", "60ea05df719973ac4d9d70d3141e671131a55db5", "ea533fac61db537fe1e1f351c98ae28db7272705", "2452dfb2c5a4578ac9497cc4dc3c6d5d03997210", "65b1760d9b1541241c6c0222cc4ee9df078b593a", "101c7d54194c02600865d7b0c638e6bfd428788c", "513d37674c661a72f2eac8a79c2f03139d6c020a", "c8d15a58794e4b383424d2d057a518689a278b8d", "fbd5c9bbfb43aa4734cde7863897600fd42eb8ff", "af9a830f62478c3638880d9a870f0b10535b3f92", "48a7c9f9f810b5b5befe7675e8c7ffe40cf473ff", "66849ba55446a5a7c5d057091a82a71d38c1ca50", "f218df397afb1f070ee093bb9a19616f61b562c4", "603ecf880ad770b566c4ffa49ffeb06340375194", "a643302a89805bb8d3d204660a3a60420fee36e2", "6f37ba7b7a5e13760e1b5ca6de085118b3fcb670", "4ae3cdba121dec886a84eff146e438a55513002c", "3136cab00cfb223ceb9aff78af2c165b6e71a878", "ae33dc04adcb83a486517c48078cdd4af7dcc7c7", "4d9a6c4b1f7797962bb2554cf4bb869c7ea57a0a", "c018f62420913102fec2126f140a09dfb90893f4", "96723b42451c42ec396381596490143aac8f85cd", "4184bad9ea7ca242ad52fc385624a9e09d3e21f0", "695f45aad44683979d14a8be88a0f6ae1fa3974c", "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "590065c40574dc797e5aeb380d6e6dab79fad6e5", "c0c80aeccb1628926738ea8f09d238061a8daa29", "abc4d51d510cd8222484f7f4f11a739e8bce42ff", "92a044df6c37571aac25756252dda27676492bb5", "5ad4e9f947c1653c247d418f05dad758a3f9277b", "3c8938fc1866121546f9cff0c3aa03a26fa7db6c", "e121bf6f18e1cb114216a521df63c55030d10fbe", "1bd8ab47177997acb3b0cca4b6a801e6e6ec3eac", "5fba1b179ac80fee80548a0795d3f72b1b6e49cd", "df6aee6739132a91db5b66fa4956c356130a0d16", "9fea3ff012d5ee474a7f41956bc4a4c5b67f09e0", "0bcd89b356dc78aaf3573086f13e94b8e7b5bee6", "dd8bc239c1c5a142ded241cebf6a0b7a0efbdee2", "9bdb40f15d56975436d9223da4e9ef5416591a52", "88740da3333ec14281a6defb55fff7c28025a758", "7688187b1ce5cbb1413d075f435ff294ba09cadc", "0679d05c11c8cd54a597fea870a23b3556c07e1a", "2ee04d30e68e327ab84a9444be36758e8fd86b82", "734d6049fe08d0a24f6aa70bf0d81c217dfca570", "cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544", "afe9cfba90d4b1dbd7db1cf60faf91f24d12b286", "237ec7e6d20025c32069e41f8007bb97931a7fc6", "5552234bf8e016949944d00a99703f20b4fca990", "da11564599083db6e423e99d6b3ac1fd34771b9a", "d9caf1ccf7674156782d3a998c77dbe689f0754c", "a9f7ab254a8c73a51f0eba5a8e13b48924b542c0", "d0f575e4b9d1d535c42b351c71010e09f7938153", "590a52702bdf7f9522cff02f477de1fa98fc2ff3", "b5e4b4cf5178b06e0bb5fd016b8ff5f609eddc8e", "eebfe2f248ac81b30eb42afa29b037de1a7b4406", "8af0ed43fb2f69730b8af570ea3852972174f1d4", "86056abdd2f2dabfd733227196d633166793f7dd", "36bc31322b95425a8ae925b458a8bc6c6f34bcf5", "a3dc109b1dff3846f5a2cc1fe2448230a76ad83f", "9c16a974756ca43b2bf628358ddb08210857f464", "b7cff43f653279a65e23a7a85c48b12a484148ef", "81dbc36c38b820dff88bcca177bb644f55a4926f", "fc369a73eea045497f82634e6ea0c13477728f2e", "4abaf4673d3745d312ed7e62770e6d264acee27a", "fbbccf0454c84bea1fd5c5a1dcd9fd7bba301a44", "456ccc8bbb538037ff00fabf25afb2aceb39149e", "0396dd7b16612bd39a9c8058bb7a91d9fcde6130", "9fb964ecd41f50b40a3d347136df97b4b7f56b74", "52db41d9c507c7b7e6fb3cc36ae9241e70f5f0d7", "ab368172c8acc87ec1dc87d1ad607546b2ea8f6a", "8b82af24bf580cbd22467ab69c588da87956a7f3", "1c26e415c7eae2f3b0f49e0519f0d985ec661c63", "6bda5819d9bc2e174902d839a12127a57fdb43f7", "68c279d4fcc02710056e73a3b0d0d564a7615cad", "263fd526b86c037be6b17fc192a8cbc0768f9c37", "b7d425ea6b476c4af208a6b6a9e84ab17921dab4", "163ba5a998973f9ead6be0ca873aed5934d5022e", "992655a7eaa846cdf755bb1be93693d7b6fe9094", "05d4abd35ecdb5863e04ebb0011f525ba3ef0092", "f8fd80e47a571a478eae2e4760b76c6d63c7a126", "047cd38ebf2ce7eeb885f654ed64d405a0421fab", "9cc91de928faac3fe397b2a93e4dc2cc7ed025bf", "5c271b5f96cfce1b4fdacc728ae8f8ebcbc738f9", "ce588a19ac2390e22839b26de12f76fe215a7035", "482769e4c4cf832128b52f1bdff873af1eee8ba8", "bf3d0e41e4d0a2ef6dbdd3018e3c7f728b5efceb", "78fdf2b98cf6380623b0e20b0005a452e736181e", "59448d96cff9825d86e50d931fbb576e008efbe7", "70c54f9bb5ba03821dba15225eefeb14a75e913f", "e6d9d3a2f1560e507a24b8cfe3d2f4369c79e0f6", "026ca771bd3995748b477e100ed4283a9bf8215a", "446f114979c3026541c25883216925d9c12f9c1e", "159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1", "5f2617d888cbc0e7aea1c5750440a85268f9da86", "9ef73533507b46278d0d27c41e16af2b8ecf23ef", "16cdbdc3038dbfeb79df4cb0936d052e30eb7463", "61de0a35431a26a2f6a38e6f27f4ed3499e4ee95", "b8aef59bac4035013bcdaa9b56d665fc8b4e187d", "3953b89a9001c8816c3c56b778e28b246524786c", "91ee88754cc7a193d51656a3b53e16389bf4aadb", "d827c72d6c9e35066b40bd205bbd71ce487a1c39", "19997d39447e570c7030a214eb4d81e3669ffd1f", "372c054ed554182b5f2a142467ee14aae5a462fd", "940865fc3f7ee5b386c4188c231eb6590db874e9", "6d525c1afbfeec9825a2e438c17861d5c2afc9d7", "a3cd609365ecf9da18dd58c6eb9b04d12a78a7a6", "23a8d02389805854cf41c9e5fa56c66ee4160ce3", "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "27c978bdb9de3a5135349976fdbc514ff547dcab", "1b8508c6e341dcc803e52ed02968ae944c744f68", "543c601f8ebc0995040f4b8de4a339fd4c860cbb", "74671fd8dd510db4abdcb93864fb5d5f77c878a0", "6a6280189ead63b2eec733b8e8ac507e830928fd", "4eb0b82b294f601510cd965adcf0e8c386cbaf22", "37134ecfe5391fb3661807d496a85b04ec1d1988", "ed04ce45b0cffcb4b642b8aecbe26d7069ac9ab9", "ac51d9ddbd462d023ec60818bac6cdae83b66992", "0665853ee87112bc27a9aaec70672f521b91d38e", "7031d7fde9f184b72416759f8a9be4155616f456", "9a9019972dece591f502a2f794e81648b9e064fe", "ced73382d686dee6232c313f014bc21ca7536db0", "6554ca3187b3cbe5d1221592eb546dfc11aac14b", "423e8cc1a7501066b7e0e5bb1beb5b9592337023", "4ecb93ffa3c3b195664ee6d627fd6e46f6798e73", "804b4d57dace42dc8ac4d594db9ad93de33c8d6a", "dbc3ab8c9f564f038e7779b87900c4a0426f3dd1", "c136e338606acb0e3a0752a75cf1cef7db5de0a6", "7a8ba1a6c90b56ae0a98fe43d015ab0f2a73912e", "de7a148970881cbd4e6a12b6a014e3dfeee98cc9", "d4453ec649dbde752e74da8ab0984c6f15cc6e06", "11467733103a3e58ae88cb238f620cf6cafd4420", "75df6bc2dd7225446f2a421d99e9db80b9c50837", "64602e95d49e8acdbca0a7445cade7a4b3476875", "7eb145b301a78d6006cb2c560f9368553101659c", "18c515d42666c95079f9a98eab59ac1cdfb10859", "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "107a293f2d8b104d70d7530e27d5e19566be968a", "9b5db4e1613cd86e6ade687bed5b01cc9f66811d", "72dd9ecc3a1f32d53b4aeb03ea3db14236fbcb27", "7c47da191f935811f269f9ba3c59556c48282e80", "474cefe3f67293f23cbec7b4b31e1c40d7c36352", "bf4073f334902cd76608655b2d54a624ccdbface", "f5be2fae5ba5e7d3550565867e6b79abef8e3f0a", "5eae1a3e0dfd0834be6a003b979bf5b3dc923453", "2b4d40ef1610500c207f166e9a5b55dbfe234045", "81d5c4b49fe17aaa3af837745cafdedb066a067d", "1c38a00dcb7e5e801f321eb5704eb06aaf031028", "6c8c7065d1041146a3604cbe15c6207f486021ba", "69da91e45d74db80e8eb436db31d384f5322c1b6", "66af0fb424e4bc07cc28e08c7bf3a8b70c094d60", "3a0673199699cd51abe0f104ebe080f63d1b6d37", "4a3b28e5ad2ae2c2f17d681f6177da212e51ca32", "3dbfd2fdbd28e4518e2ae05de8374057307e97b3", "a62bcfa204fca20acc7b90aaac01b55d315fc971", "354ddc8976a762ee03fb78b73adc3b5312e5f2a5", "dc6263270cd23a51d8fffdfd7e408250442b40f3", "1f7bc67fb5b3ac9b2a92ba8c84a3bbd4b8e3a656", "5fdd81fd5e4caa852b6be3e6bf7891578248d662", "948317b46a24ba11bb0220875fe7a9949f3d939c", "fc43ee52274f25725535bf7f6184618779125987", "c9311a0c5045d86a617bd05a5cc269f44e81508d", "f66e2d403774d3fe49e8c37f8acecb4e43d1675d", "dce54bd12826fd86de660e8bb1ac7ba19198aa98", "e3f63d12be07c743e7590957f4ed38b06cd98aba", "0db787317ba0d63ec8f9918905e7db181a489026", "33b4dc370731535e39df8ce22fb43dd80d811dc4", "8f3d5f9ad240c186971edc652f8385dc2a53d2eb", "299c1e335fb6c6b0cfa4a733f66655dd35bbdaa8", "8e34eb3f9f9bd7ba44f46b7e622ed083497768d0", "13e348264fe1077caa44e1b59c71e67a8e4b5ad9", "ede1f00c2ac27ac90dbeb0df1840ac757447af34", "b0c601a43384524d85ff4aa0bce65b2091133b47", "3002b5180c4b4fbf9c07145b5b435846c729c724", "15df73918e084a146cd215b839a3eec1cc813a78", "2ede15b9454ea7b5593aed9624e14367d59f176f", "b6bf9d357f280ba8bb8338b2448f0f90773f5c57", "af54dd5da722e104740f9b6f261df9d4688a9712", "2f2a07283c960f186da6aac5a7f6cde5a8ff49e3", "d088be037869cc814bdb8ecfbd9b7bbd51a5b056", "be9f60ec249bc57ee9d337060fb20bdb8a0729e7", "73da66ea59da581c31ff9dd5f7d8243356360eb9", "b514e89249042899eafc890bf9815d2507b13d7e", "9377376b366dc6b7c1ec03db7ffe611056263202", "c65b71ebb22745504f4374c4caa4939855544e7d", "6ee8a94ccba10062172e5b31ee097c846821a822", "e8baf6ddd2e651350b843fedfe58f761848d3524", "bbb73e73d79a6fd994c55bef96eb0d293c90c13e", "03161081b47eba967fd3e663c57ec2f99f66eebd", "ed9967868fcca2ec38402d2bb3e6946b8e554472", "43301d1b4a66471512abd08fa2299bb99a7d24f8", "b8ae7c6ff8d34cc639aba63b0f4b094720482280", "82b4922d1e74ee7f4674206358fa7323c1506f7e", "b5d14fee9658877abbbfa760dd9765db0af86ba6", "f04c83d778ff4cc7c5770487f08de6b3c2271fbd", "f96dad96192fd1c81e35fc3bf7bdb75a6f6f96d0", "c54f9f33382f9f656ec0e97d3004df614ec56434", "2d331bdeaa0962eb210270ddb951525d47df9d6e", "ac6b280f2a43516fbaf92073304002f9f4da0188", "9e384187941e939453fc0c7585c1a8e76d535c02", "68eb648a6e18ac15ee31bcabbce64c45db619639", "cc5a62bd7c45a9ca479506acb572566331354fa3", "1ffedba43c470ee93a3cf9db547ec0b55f23b31f", "afef2b1d35fb807f422cfec0a370f7d08d4651d1", "743679e51b879b01e9cd30172e63b0680977430b", "2db41f32a41a090fa4ab1a230a27749758060136", "3b44f90cb302541793407994378698d5509a9c15", "6c66ae815e7e508e852ecb122fb796abbcda16a8", "0af88d7b57ceb8c9b4132d792dcbcf13ddad972f", "0e25527a7df08c8cda5e86c7a255806289b0ff64", "51cf3fa26b7c31c10427317fb5d72a6712023279", "250c8de6e884b5447d0b63d28855eb5078562197", "a120cac99c85548d0749dd83b0450520949e6474", "bcb79e3ac69508060c8cba105f6a8622eb929ab1", "8c855cd52e30dbe35abc3accdb58b6f48bb232e1", "19f7654f22416e6fdf430c1c873ad3e8c15e64f8", "52144c6d20ddea70e59514c2aa9ec7dc801e5c5e", "d802ed7d8b7aea71a10bd0d700fd11fde5729993", "6b47b1c5a628ddb939d0088b36753ca29b3f9b76", "df9c3dae5b14e739b1507e2e9f9158f933a3d246", "a53a20b01e93f04a37e0ce74100a658d6443591a", "6e44ddb54edbb80d5bb8f2ca3b36e40c486b9daf", "0b1cf351a4a6758606bea32d29c7d529e79ab7ce", "17d212e81f1e9ab707a90a010afedc1d85678a26", "caac13b7814e65161a3e9240e536722af0edac06", "9ea337ffdf652803c805074d61b2d6a8d7040e95", "6856a11b98ffffeff6e2f991d3d1a1232c029ea1", "b3b802a883fd9f796ca4f056b1529ffaea863ba9", "77cc3e55ff5e18eecc29f2fad1ced236ce9b0689", "5047cae1b6f47ac1715479abfa3daf1c1a063977", "4c3a0d87f7aefcf3f420c86e8dc377edbbcc25bf", "8de06a584955f04f399c10f09f2eed77722f6b1c", "1ecf4055831ca23c9f6026ef866dac95c8b8f9de", "8edb2219370a86c4277549813d36a6c139503fb4", "9aff97b4fe0b3df61233283acf264723f4dd3b4f", "c4a5932f33e6f4ccbfc7218fac58350a530d0ad6", "125d82fee1b9fbcc616622b0977f3d06771fc152", "40536b0cc73fda29a335c6ecf9ce891dcb6d04cd", "52deb24ca3822f11ffde755fd9e5eefea3958058", "da50fc942b1edc535ca69f1b922e856620aacebc", "26d04923efccaec3a2c4435ab760c84a46f458cc", "8d09e7c3c6b714574b2a4a7993ac94beb9d4f50d", "a149dd3fc6c7087c414f9655d92693ce9d3df6ec", "0133e8ba2d7e51c363c954f455ea7c4bae2be410", "591094c5428c6010f87ecb93c89976a54cd63bbd", "2b2f98518464a27c400b52f8c0ae4456dcc314a6", "232d99697a18c3065f2ba7c5f2d93d87731690f5", "4335805938a35a47cf86c985e993f73060405679", "1339188247e3b8fd102b37501eb93cbeab71b870", "6c3c845fe484bdb2b3549054644c7a06bd9b87b8", "734cdda4a4de2a635404e4c6b61f1b2edb3f501d", "3acdccd33e518f22dcfe36ee29c332a644afdb25", "5f19b98e5cd22198d25660d609cbd3f4a69c94e7", "d6b1e14d211145bbc083b230d1724826de430fb7", "41e1084e74564ced3e1fa845250162d6d0f2b9c3", "1903276bb462d3ccd4f1fac3a8e34a53045ef8a1", "1a140d9265df8cf50a3cd69074db7e20dc060d14", "091a4637735c1a86dfb94432d01db0f11519ba5f", "310e83d7555b3a084e8251176d76648b7bdb3c2f", "8459692ecc49cc87311ad97de85576e383e36490", "1b2e50412ec151486912f0bfd01703c8ec46b5a7", "24b6d839662e5d56f17fc26eab4d2901f6835ddf", "94347c0f73c31a9fdf04e9d581cfc47ee94e9ae3", "c0014e048a5d15ddfeffa075a1b819bcb93dd351", "2c12b2bd93f9ac8efc5c94e46bfa7a3cd0461052", "c28461e266fe0f03c0f9a9525a266aa3050229f0", "537fb9d35e56be9436b42a9e5e3405523c2f1e0e", "fdf5ef8d3274ec3bf3d0bbb210a13c419d9ce9ff", "92b748f2629b3227a9c56bc9e580f45eb5bdfba5", "83968f81f23a34e18e850fe2cf68bab51e22e35c", "130bf256f4cc3dded4fb701f74f6a34992be639b", "63fd7a159e58add133b9c71c4b1b37b899dd646f", "a4e47b6cbadfe5085c0a83f39513bda0ed3e9a92", "74c76a7ddf2a6c76744662dab88e20d329646a60", "552c55c71bccfc6de7ce1343a1cd12208e9a63b3", "928ccc8c4ae415202d187a229009dd48e57871ba", "d3612bcc772761b611365fe21c42eafb181338ef", "81b6de17391f44c07b2efe75a529aa200604ee48", "bdf7298687fc1eab1589d32b0639426abf06da21", "f0aac566e3d2c06759b8f4f45a270d5af93b9705", "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "670637d0303a863c1548d5b19f705860a23e285c", "139bb2a4034a0498934185e8c6d515d8f9330e2a", "135fcdab631ab30ae837a743040f1c8751268e41", "dac8fc521dfafb2d082faa4697f491eae00472c7", "c6c4371bdc0214d66703deaa5e1e464d18cd641d", "8fa9cb5dac394e30e4089bf5f4ffecc873d1da96", "bf5940d57f97ed20c50278a81e901ae4656f0f2c", "6d96f946aaabc734af7fe3fc4454cf8547fcd5ed", "f7993cc8b37a99da066b3338264edf2bf316ebfb", "720d4e1c1535f26c3d6a68c6b00e44d7a8ffec36", "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "0c85d1b384bb6e2d5d6e4db5461a7101ceed6808", "cc599ad4070d18c716a6a8bec47c88bab820fbcc", "f18ba83ccf4f7bd1475495de832127c62fa75bbb", "8acfef0eb76fe38515f1cb742bd0fec8947058b0", "8c2b663f8be1702ed3e377b5e6e85921fe7c6389", "b216040f110d2549f61e3f5a7261cab128cab361", "edb01fced7e2fecff6fb4909d99213d33781dcf2", "21b5af67618fcc047b495d2d5d7c2bf145753633", "89fe52d1be59c7cbc8c0c2d41a0247060390ca74", "8818ceb7bf41b07037a7396058b69a6da6dc06a6", "90a226bcd72ac3bd7a0e12d416055b6299613169", "eedfb384a5e42511013b33104f4cd3149432bd9e", "d692a9be9983c4445ec3cf599d6ccaf379fc0cee", "5dc056fe911a3e34a932513abe637076250d96da", "4a2c156062bc1a82edf3828c1e79f01bcb842544", "6c28b3550f57262889fe101e5d027912eb39564e", "98f507d182814e12559aa00d3b2552f299dc7bad", "78651b2d44701090f730166d45e414fc23512eec", "9065a972f17416149f8e54eada1327921ceff412", "76e7484e7d9880a56f01ba28e9262397bd10eb2a", "fccc78bbf95f866687ad10c3749222d884fac79e", "5507497aac9907f49effe0433c4a3d8ecbf24018", "38c7f80a1e7fa1bdec632042318dc7cdd3c9aad4", "510257c8cedc079aae88ccbf3dd10a84051c8fdc", "cae68d5af3c3c6167aa9b2247ca27efe75992ccd", "e3a8f18e507d9f2b537ec3c3fcc1b874b8ccfc24", "ae6af6bfde5383f74f40092a5cd48ed6bfd7ef9a", "ba52e9a82fd707bd9cedf44201edcaae74fa34da", "4542273a157bfd4740645a6129d1784d1df775d2", "158d2c07561d55b7eb11fd12ccdc783fae513175", "7193d689593edb5f681e6678eb150a2da7c68105", "1216f1aece5e152302451f4e5c105c6c68829732", "88bb5fe557339cbe7d2b45df23e63b9829ed6d24", "cd1a26f151cf6bb7aad90a7ca939df5bcbceca00", "03d118ea3b30209ea4f71256da0b46e69b794a71", "e1ee1e7c355097f960b872223190b9ae8389a800", "59770c26ff77f17d6386c962c2b0753cac041382", "8ab183883acba0501c3315a914aee755b5e517d8", "ce56df12d12e8bbac451647a8e2ac5c9a52ed240", "8c8d4719fed7d487260e2c4e88a5adb7132078c9", "340716ba8c6ab315a4253cb3750c74aca54dc3aa", "7a3d52e10e94cd142928d8777e82455f2aaa3364", "bb967edbeb6b9d7dda567a91e99546e2f6477ee3", "c4a57492ea32a09899c19595c123d40a07d84408", "35cb2329c0461c990bf65d9d6d71a43bba90ee99", "2f6a4bda37c7efdf178cdb3e73fe4b23910f28e4", "d3d5d86afec84c0713ec868cf5ed41661fc96edc", "5960888c4de94c7caae1527e9f0cd1fb13dff808", "ffef029c360db36c72d356103f7b119c5e54f96b", "34964b22c248b304753179349ea84a2b2e9217d9", "f41ae7b47391f10f30368c519d8fe3e904e3a35f", "b7f7a4df251ff26aca83d66d6b479f1dc6cd1085", "00d0b01d6a5f12216e078001b7c49225d2495b21", "27e5b7ae3506a0f7472ee9089cd2472442e71c14", "19868a469dc25ee0db00947e06c804b88ea94fd0", "e9e39e31419d9a22790b327bc1d6107fa832bdab", "82d5e927c4f1429c07552bfc7bebd5f0e3f2f444", "acd5b6e9bb6a87a028aeb33c805e352ad98ade02", "64281b49a34786912085396bafd67429725f1bcf", "73111b3403ae8b59ca2955dfdee6c5d5eb9fe04d", "91b1a59b9e0e7f4db0828bf36654b84ba53b0557", "0ae7dbe27a2761412b1aa1a65563b44d5148eccc", "4b5158bdc12b3704fdd5d199f83ace8505be2945", "8b632db02220806cd62e35fdebb3ede58243dee0", "90496b7dd9f151f97681d3289ed4f6f18a57b918", "3c573f52d7df943ecb5d4b4e1fe835f7622df890", "8309e8f27f3fb6f2ac1b4343a4ad7db09fb8f0ff", "0052de4885916cf6949a6904d02336e59d98544c", "00ebc3fa871933265711558fa9486057937c416e", "4926af10d590686f4f5706b450515caaa1ddea54", "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "56bcc89fb1e05d21a8b7b880c6b4df79271ceca5", "b975d9df20dbddde183c06584e936e7d170d3ca9", "383b1ee2bf284c99c68a426dba660f373a83135d", "87a57610e42de5f94641ab09b53b3c26f36f9eda", "bfb98423941e51e3cd067cb085ebfa3087f3bfbe", "2670c7e83d34c3e43a6b6295b453e6828ba27d15", "6cad808376cf5c5dc8202471c046c2cb80afdc09", "a8385939ed0629d39d25053447f80a126627c307", "b110375e11086527aaf0d2b38e5055432a720c35", "274046ccc3f6641f29e404f4c731e5d6b771de26", "9cfaeb64ba71ae144df1530acf517085ebc4ffb7", "e5720c765f38e6a98d79b889f3f3534b7e6f4bfa", "8befd137ed05e5797ee934c621eff6f3fe8f7ba4", "8ec368bcc138736efedec4ce4fb5eac2c7d7585f", "93eda37ac8a2937f726cef4459ac6fd7b155ec4f", "3c8e16de72af3f96af31b26aeeb01c8bf41148fd", "6cd5b56f4262c7e13f61a4a6f28eaa805f4e3291", "96e5fe29580c85a07092716131ed3993ef36b81c", "0efa6a6f385ce1d9eff6410ffc43e1f5a3c24f21", "f41bc477a7a0ba36d11f82ec55131913f9ffe678", "63e91ca26ace8df65a221f819f3bb49d1e7830fa", "e32a592aa7d441f834b6bf339e2e2805fcebef9c", "528b49d4cdc30752c40ec07d1a9e9b0801933feb", "21046754cc73414edbfdf5a7ffa39b10c293beab", "4b8d80f91d271f61b26db5ad627e24e59955c56a", "3566f27d6857ce82270bccad45759da955060a35", "b6e3b42ea84bbb84658d34e7af49bff139616084", "713d4e7edcbf8a4f4c0ce521d58ac7fd9c9e9bfe", "176d9121e4e645344de4706dfb345ad456bfb84a", "cf968e26add377a7edeae338629f2f4edb050b0d", "bcfd771ee51f2813e910b339d08d10057af1e294", "11ea239c256ca20662225897c2b800c7e690ef04", "e87ee15174cfa36d1e91710140608d78d1af2e55", "8fbfdd249ebf5a83ed3c43f185d143375382cea4", "b62b41a45ab7c3697767f9f6de177b8b23357ec1", "f7630f80083a27ac1ea3e5818a70857723974f7d", "1a53ca294bbe5923c46a339955e8207907e9c8c6", "f9664fe3167ff72f6b91aa84882e23bf50907d43", "6f304800ac95746611231ed1ef76fde426702479", "78dba6eb788bf228dd60a18ee806ff0856ff4a0e", "a6cbac33da95bdf7167d4a81275755b6d91b7822", "8fe43144c0ff36ffefca869eec0a63e71ca02049", "da7151c9e15598971921a2fac4900b2503982535", "42ecf293be16049b307fcf6a4ba589f9630caf8b", "f9b92e15439c82aef4969e0560683605dd8ce1c4", "ea86b75427f845f04e96bdaadfc0d67b3f460005", "55d8052477e599125442de86cf4b05bc6ea0fbf8", "d5ccbc99a89934b5f2dd3f0ba7e028ac9c347b73", "cef58d5b3e76a2ee1c157a6b1ea3329dc7624e6c", "94c19b15ffa7cbc7f755d063296674c23f0a7ef1", "52a723061175ad141d73cb3979788e8afb7291db", "301c8c7fee33ea4ae50b18a8ac630dd91eb40a73", "ba84a1f07df13a46c2c3af12b9d9dc33f09dc107", "1fefe3ebd72a51d7883a16b8d5d3220589c9a738", "d97bc465d568da984418e886c3b36e3151f40690", "dee39ab960882e70a87501118dfb61cf7a0cd017", "7e988b6f688f248d803be9846a4cbd4126afc785", "af6a0bab11a95dfe99b835c724e7901b9bb8aaf6", "f5acfc4c017447ea94c9d9cb19a9f1fcd4aa51e6", "87d9bef42fcb887442223e52f751959c681615d3", "3e63e93b46a403f4bdbf3f7e497dc53c23b6824c", "9eb13f8e8d948146bfbae1260e505ba209c7fdc1", "0ebd83e838dcd5827329c65d1ccc260e7aa7b5fe", "74a9712e7f3c8cbe5f705d88e531969dbc663aa0", "52274e5d9dc1d3501ee43cf741b835012aae574f", "070d945a9aaa064b8831b6dba18d5924a51f3fb3", "a5dd647ff98d8ac9642a884c501de9a7aaf9a1b7", "1d6a99e11ed5576bec973a35bc50d196c9a38e26", "c8e2582948d60d6363aa20208000f07c002c21cb", "4589d6bbb3186fc001ea2a42ae1ea2718edba915", "707aba1159407acdc549311395f909d0d9da2b9f", "eb7e40aab49fdda492bb8aac02f520013931144b", "e1ec6a3ad254558aa529fe23eb815c8949291f90", "85a136b48c2036b16f444f93b086e2bd8539a498", "a5db464f4f8e7b688de5dc53733845f1db536004", "6d8057ce549db311b7ddaeed8dfd934b58c1c281", "7966146d72f9953330556baa04be746d18702047", "7fd36cd223f27f52b5c2ef5635cdb8a6bad3cbde", "648c381bb3365425fddd643f1ce7d97bc975f7e6", "08b7f088e04757486b34a8baad2ee07f4d1d0544", "31ffc95167a2010ce7aab23db7d5fc7ec439f5fb", "21a6ad72b4dddb6720e7278fcf384f9fd131bdb0", "73d74679b7eea15bdd2a68ac97c2ff32e0d73ba2", "355a0e14992896f88d4043183f7d5787df8e1ce7", "b06254f76e13d5f6ac0230fd8bdac35b901f9480", "e33bdda2a9eb3d9f99b334d5f75138aa1d880f31", "61ead7459c4d49ed1e14b38e1d179ee408e4036b", "036dbd85ce68220418b722db44317252ab5ba9a9", "5ec2567c3bd8ff0d89d13d05e7fe298651f2e555", "7c65429c04ae814384090fac76089c3151394ee1", "760a712f570f7a618d9385c0cee7e4d0d6a78ed2", "7bc39edde3a988d81a86650d43b0fda475c6fac0", "9d55ec73cab779403cd933e6eb557fb04892b634", "e19d1bde4cc052b4b563ccd5507738211e7e95ab", "cc2e4d3f1415dbc800fb84bf7a354a5ad3213ca2", "218a46f811d09e697f89b00925467707cb353696", "5ebf0f611a1dabc723a8e8c351e626171f75c26d", "2d23fa205acca9c21e3e1a04674f1e5a9528550e", "6cf5d7c14c5df98d19f7c457daabcafd3de308bf", "e61efd3087857ba11bd4ea85e294c2701d3dcfdb", "9342ac1c8bfde4685c6ff420d03cf51fd046275f", "378d1d5c16d816df8ffd79e9e8bf2056a0c66838", "2829288498cf03d87301f12a5bebf7f9faca0884", "daf4dfc87cac71f1293e5269ade8e7bc7c9c42b9", "26fcefb80af66391e07e6239933de943c1cddc6e", "f40767ee174caa01eb0fd09bfcbf703f7ab50dd5", "2fe089ed85f3afebf3716c75925c8458baaed7f7", "660c99ac408b535bb0468ab3708d0d1d5db30180", "f451ad96ed92a2fde9e03836510d0e4c1d44b22c", "bce970f44680f3f3fbf2ebb7a53272afe8e4c5bb", "42fe1f908a36e68829779b3b7b830eec407afb94", "40fe5e764f5d76c1bd050dd4e396ccb6c82b7370", "2c34bf897bad780e124d5539099405c28f3279ac", "73c4963d308bd54e61bc46544f4552aad5dd1d91", "4a963c8f186ba66ca4976354c287922d24d2edd8", "0f65869ddbc83ca594500a165782ad072928b456", "2161d9a86082d820cc7bf181464730fb451bf6f2", "7e55dab6f23f8e0f9587f76ec1dd66e2dbba436a", "338f0018a3580fb4444d9af59e14957084d47996", "b7c7411eed2f3b6211abfe0aeea7c18adb028d11", "5217ab9b723158b3ba2235e807d165e72fd33007", "00eccc565b64f34ad53bf67dfaf44ffa3645adff", "5e69f33032488e9c897bf71d74bf3d76a6e3c648", "6b8acdb90ec9200fcdfe1cdf1d90993b8deb1c2f", "22cef598fbf596423b309085e9ccb365c2128a97", "8ac2d704f27a2ddf19b40c8e4695da629aa52a54", "39df4f8ad7add3863208a5f7b71e22ed1970ca58", "1181f1146db7170b09f28f7cc51c42c63547d84b", "b5aa77cde8ac09bd821cfd34d0a0d1c12688779b", "5aa29373a59c60b01df4f8986ed4902e6dd60b96", "0b20f75dbb0823766d8c7b04030670ef7147ccdd", "2271d554787fdad561fafc6e9f742eea94d35518", "8a0d5ee127bdfa97e11f5becdb834505f8b5ad39", "17605bec1ea7a55d87eb07a872858d86b703e9b3", "61ead80d623e21c8a9f166964689a5d50dff9ae6", "36bb93c4f381adca267191811abb8cc7812363f9", "5c13e88b0a739f02de93126b4d376349588fd58b", "ddeb017c0452f14690ce240c90128d979289ab5f", "e2063ee46a5828ea258ad9ff4f4bcce535a5301b", "3f9e948faee62a85a1b8a14f45fe4bb4be1d6637", "1acc5e2788743b46272d977045868b937fb317f6", "d0985f3f3b74c9a8c64e639aeacbb99de02a651c", "aa94f214bb3e14842e4056fdef834a51aecef39c", "18c4a0e82fdddda2530b7281ad567abc0373a89f", "9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d", "ca7558f503ac687ba6f2fd197660fb542ef67862", "e24edb77083e9cba6fc50eadb3ec64ddbb43c120", "7373584a27320824dc9bc0bae58364f701a1210b", "19a4e3458003d5160e9efd31ba4789cf46f61583", "b6dd4057bdeef69148ee22e9ca31b44434c0e89f", "a489a7951c7848ebae5a99ac590c016359a85434", "0b3f354e6796ef7416bf6dde9e0779b2fcfabed2", "ebce277a2510701f1a2b77585e4d02c3ae32aebc", "5e09a85527a2c471ce35b21a3b22ae1620c80176", "a2b9ad7a09b45c661774dddc72c5db9fd8109ddd", "90de154ef57f14d200af340f54aec11122252556", "c4c5309ab3916bcf27617826d8aaf1e75ef9500a", "26cf0735be5ae85e58542d81c66b36390c8b6dce", "a6c0881a1fe3dde65c1ae35dd6a1a7300552b6a1", "f33e0aa9940d5fd5db44c122093581cd044ca28b", "10ada578e2c7b33754091bf14c0d98b9e532e6fa", "03952d539ce51494a94622c6fb8055d3bc9e2c9f", "970e9aced75369c697e2be8cf970f3a173ed676b", "0c93cb1af3bba1bd90a03e921ff2d55acf35c01f", "8fe2514fad1267276b8cff850d0c9e073ea6797b", "19eb486dcfa1963c6404a9f146c378fc7ae3a1df", "324e8dfc441a1418273157982468642d7792d04e", "705a61f5e2d31a2382f3f07d1669755284d8407d", "545600c4926bdb5ac348c3a733db7776392906c8", "5fabe9b544fc3a80d356f0e4ebe323093cd5aa5b", "08ae1f8dea9b5ce7923db6469443f43f2c290510", "0f29bc5d8458358d74dc8c4fd6968b4182dd71d2", "210cc7fb206355a795b1c50ac8d17445e4546747", "6a2ed331afbdfbaa9e98bc434e48c183a8aaa0b5", "a14879e4326105502892fee66606a8998b1baad6", "f4bbe6831dd4eafe04dddf8eafd03a835c26b87f", "ce092c54917473afe00bcbcacbf8abb361959c58", "9af50efd1226743c8404245665f55a6b86baa429", "6b742055a664bcbd1c6a85ae6796bd15bc945367", "bd25c4ad7471580ed9787eae041b80a3c4fe97bb", "4eecde79b5041b456f17662294d5c0abdd69dfa2", "857c1ba9b7bea644966475bb9d6d4f29d7b13f2d", "c35aff2baba9b62fbddb23b2d4346a987823ad7d", "0b8c92463f8f5087696681fb62dad003c308ebe2", "8287aca4f019298534ad11e6e0943d0cffb7468c", "b463f935ccd91831cb56bff0a27a88c4320f99dd", "8c3ab1ee8734c0015bb16214192fc7d7efb5863e", "84187adc5e6412123405102bb3c2f0428713593c", "117b78d154309d87c4d84ffb64057c1dfcdb1dd7", "fcce89d4b212d5ba5ffd2c84498bad8275505d84", "85430c7f34259a9d76286427802506f0ad84d503", "4d9c02567e7b9e065108eb83ea3f03fcff880462", "358e4bfda3921545db73efd15c6fa08cec92a4fe", "4d356f347ab6647fb3e8ed8c2154dbd359e479ed", "8210fd10ef1de44265632589f8fc28bc439a57e6", "23b41291a31bd66c170ff3a08f2c5507fcbbdd6d", "977bedd692c240c162481ef769b31e0f5455469a", "cc9d068cf6c4a30da82fd6350a348467cb5086d4", "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "a1ef8f589b8c1257d3737044f0e96503ae0a41b0", "40cb6ce9f6521d5386e20cc1f1c7886bf7e08b61", "6f5486c415a6aae48fbbc546358993d551ac1cd4", "e098cb8a1b413a1dd5f9a70d91bfcd9c8f8923e1", "e3c6eb3bf5b39d13e96b4cea186e88748e2dc3c4", "eedd405b9c44da778ed3246ec3df2d5b26ca0f7f", "fb807b5ae37863531a49811de04ca36fd44996d8", "31c16cc4c5b9da82ade50de69ef834c7712df8a5", "922d12067a1999c81c17dc9207e8816c93b1dd7b", "d62817d85b55e04021f03e1636fc2269adc5adcc", "be5975d5ac261f6224ad43e78d0f14bf17c3c941", "cee5e1a4e5a79ed93a3f5a6cc0b22e38f1c8d389", "83d9472111308d8d3c0d572361228ce54f1c121b", "b8711c88f5e7064e4626dea33e5dd1faedf78ef3", "dff60c66bef83fdb73fd7617eba7c27e96f75276", "a15e9417c0d89fa541c54d95d4192677d442e667", "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "4d4be112c180d5a4484fe6e17e506ad6e1853f08", "c266e41f18f72d4512dafca61312370ab2f99bb7", "b272dd2968cf7e14559706d2eb52f185375e839b", "66a4a03ea58792e4be90b20c60ddc65de736537e", "9f60d8b2791acecf7cc426bbe93a9c0f53beee52", "856cc83a3121de89d4a6d9283afbcd5d7ef7aa2b", "61f853fe195336300d3ead1247402b60b685001f", "a7a19d9cbc25a821e0a2e991e0e5233c703e754f", "d9e34af95c21c0e114b61abccbc653480b370c3b", "be427965a79aa1191a1ea9dd79717d89bcb74ad1", "15d1582c8b65dbab5ca027467718a2c286ddce7a", "70b500520e0e229993f0154aa4b08b5bd7601253", "c207fd762728f3da4cddcfcf8bf19669809ab284", "3ca50b11000acb99a954cb9bf25ec302c6df2404", "dc38354d4b666a44dfc4d74e51348cf0db0181bc", "65c7058623c19980c75be8ea5790f4a641b6846e", "cfdd0f44447467bdf1030ebf40421b803d8eceb7", "e71c15f5650a59755619b2a62fa93ac922151fd6", "0136d9114d62aaedcfbb50ed9594d18e10424179", "0df09913890d9ca374079d504e30791a8bc389a7", "f42990b279966fd178c37c6cd04bc523ecc8a92a", "e72347d213fd8d14b95daae742a6bda3f6fb27fb", "f4b7dc95389227baf0d3543d135fc2dbebf1c3f0", "05f3d1e9fb254b275354ca69018e9ed321dd8755", "1e6de0c5064923b1356925e58f0ad4db195b5c6a", "94c2f28d51193077cd1dd391962a04f254033215", "176e5abddb87d029f85f60d1bbff67c66500e8c3", "19179eaf3255650171df980ad1c02efe482b47b2", "0f490d2c38aa8f141ea55e62ec02609a1301081a", "2c906190b56567b35f266e29e766123ac8b1ce7c", "84a74ef8680b66e6dccbc69ae80321a52780a68e", "7fbe17089f8d0f6125e6e60da9d1f6b42d1b319b", "f3a094d213b373d0aa20e157fdedcd349c1d1777", "3f4798c7701da044bdb7feb61ebdbd1d53df5cfe", "88f8b779cb4b8d9af015abccea4c421e6485ceca", "c9af0ef038ee0bb783d77a5aa7f04c587043aded", "3cca51f66b9693bc188557abe8a628580ae62aa2", "9f64f09074e9c17300c2858d01d16d5ce54611cf", "2479eb0d2eca1ec24825a68134fa67763c8f08b4", "01c7a778cde86ad1b89909ea809d55230e569390", "ab302d79e419348499acbda4a627b67dec89936f", "0a7b474a610524288df278c7f20ed3b4d477a437", "1ad4981e51cb55e1ff3ffeedabc7e6ac22e77343", "28d65e4d72638983fbc723b102d78b10587c06aa", "88b79457f60544bb1a6339ec2c791d48fe6cc731", "173529e7cf473071c4880532a2709475a81053c9", "2b8fa6187db53c53a01174838e7ff8b77205bedf", "a1bb205db5a42281cd68c245f1ef9e0122cd10ae", "8ec193302458bd9805d04042e05b59662d7b411c", "8b64dbeac77fe8d6bf440311337451f9f61b9ea0", "68d7b5431eb2b3b967455f09554e5b1559d82d32", "0db036d8ad2c26670abeb42b932baf0d6949547b", "787e4415baa7bfa198a7e4a245c9b11034b01510", "8e90b97ad70c49c8d83bd4ef9c0b64555788c944", "1f3af32b10e699a6bee0d696c55f2b994075edc8", "3c0b4cd76b16464addb05d52f9d9bf02195f11a2", "d5e9ad75082e41ee5c35009f96f6b23d483111f8", "772daa4b6cfee20eda725b82a568a5e21e36bb2a", "7702e45b6cf8a7c3c94944d837f20c56b994496e", "5670d4eb5a49ec876b9c58110f1091216ee23199", "3767c07e73c8968d144762bc5180d37909b605ce", "7606a74de57f67257c77a8bb0295ff4593566040", "ade79cfe160309f1129b7bdc7ff963b94409653c", "2ef1b1b5ed732634e005df779fd9b21da0ffe60c", "7079c51423ff61a18692da993ce3113451bf262a", "879ba2e6c8553e2ef418e845d3f3999c03264021", "dc12511c2a72e2128cd10d77bc40a1453f8f17a1", "78eeeb7f15ac69d12e6f5df06064aaa13e75aa2c", "2980ca344a48c0e7d352c4badc3e8bbfcaa3f96d", "1d25f0490f561ac7edb83b0a28ea7c0dfa08dfe5", "fb25566db4ff4d676dc4aec99a0122966e3e90b0", "1ef9acc90b8c19550cc4697cc140611561b338d0", "4990824c5ff6c993e0697e272026438c4a05c3d5", "8966eebfc31dad7902ff5cf867142bf6af69a0e4", "2f4dcc62e541c15f625e67859b6750bcf16c2e63", "e76e1faf1f92eee805c9c7cc76c5dda23f568f49", "22f1b026bd78fdc2e945bcf88a6d69d44b484ec6", "03e755815b69e3f37c2c9df6a1c6a8df7649706f", "8a29378973987bdb040f35349d1c5a86a538c0fc", "599a84997acba7d31fdc139867097858b4a08b1b", "15b30fc33fc36ce21ad5c5bfd22f61eb366d67f5", "d5620af1bc8ffbd20a4fb82a4facb0f46ffe8628", "ccd21acab5dede82d49862dfa188e02bb8b24b9a", "0e4fa61871755b5548a5c970c8103f7b2ada24f3", "df550cb749858648209707bec5410431ea95e027", "ac11be5e2656f93c1b02b0222414bb3db8baddd5", "f152fcfbca25a19e9984fcf264cd7f0e34a1e236", "2de33637fae84ca94d89b3b3d681670191c6281d", "2d990b04c2bd61d3b7b922b8eed33aeeeb7b9359", "54966a5ac5a2aa19760fb5197889fa9dcccac1d1", "4a24d41aef0041ef82916d2316eea86f6c45c47f", "df1a10668eaad727ec3fdf0d5df405bbe29392c9", "227088f0446f648bffcc2c29f727d02ff4bd054a", "f3f41178d60e8598a7c65fa7415b8132d7066960", "0c7a9230ed9aae4cd1f26290cf140bb9c7286954", "ae1f9177082d209e70e6f40502b9b6b0529c7862", "9ff45d69168eedc6538dc684d94460ab4522480b", "70d2ab1af0edd5c0a30d576a5d4aa397c4f92d3e", "3b21aaf7def52964cf1fcc5f11520a7618c8fae3", "36c91d8c2ab00252c6dfd137e74375f5498d7a4f", "ad113dda7a694458f4dcdb4d0715e1c1b6607ed4", "2d9e30680a17bbdf83ce27287bc1901da7198f74", "f31cd51c87e64bfdd5c2c9259ae40b5add8cfcc3", "f732ff3e718ae0f86c5d8cf66b30a18878762863", "d1af31b0a4611a3b686fc440e4c250c1be221c71", "f23cd33ea1020d0fc82fc6e5f65a87d8e3edb3b5", "21f7980a22300983e1cb0fa02a9c300045a08740", "067fe74aec42cb82b92cf6742c7cfb4a65f16951", "b88d5e12089f6f598b8c72ebeffefc102cad1fc0", "1c3d1f85dab473df151bc6cb16e7361da5882bb9", "b9a6f14f5d3af6bdb31b40c6289e1b7aa323412f", "5884eaf9f7c20d6d65892a9eb91020448262c5d8", "08ff81f3f00f8f68b8abd910248b25a126a4dfa4", "38a75d92684122da464a7fb1f9adc8f6acec74da", "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "40b4050e417b138f7fb00f28d94ce6890336e867", "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "94dd0797904df022f687448cc429b6233df7be4b", "3be7c0dbeebd1cd218d8c4751b0deffd5900c349", "17d7579cd732dfb485ee59bb6b9ca56647c800c2", "3b2e6f8426de08a330ce15dbde8eaceadc7e7311", "c9e955cb9709f16faeb0c840f4dae92eb875450a", "32df0196c3135c7732c31561b50c343551fbcfe4", "46ecd7bbbb682abe153e469a5c8d4b0ef14b97d3", "3a7f3d38157bf90cfb429c57bdf51933a6d5aabc", "ac6f23544161c723567812f96a4cd71ed47041fc", "09718bf335b926907ded5cb4c94784fd20e5ccd8", "cb9921d5fc4ffa50be537332e111f03d74622442", "59f3f62fa3820f8f41a47d6e37b896c0f899457a", "2a628cc59bf229979ba4cb2530a7bea320aa3dc3", "9283fa7a8c8a0c746f4d437ca14f80fdffe0fc99", "9045987f12895bc51bffdf3f2518c1fd4c5c73ac", "879096084520c8a105c363c85d1d1d483805211f", "158de03729e0bf8fb04b2accaf5604d8b4878b56", "64a44e1d5cbefbb403811360a88f4d93e569ffbd", "3d72f837e52c4c69ba996e6b8313a7ab4212a077", "c5ed62f2b57e03d0a2e0cf13772b216ffad30c19", "0bf3513d18ec37efb1d2c7934a837dabafe9d091", "b42741dfc3a7f7d1d110978323e18fc71e2d67fe", "1ff0162ece14c2f05b925853aa1a1e8397e187d0", "78e00cfe5f0bd4bbb3d4111fa11de9e6dda17afc", "10bab1bea94e99444a363daa0d7439cc55d60782", "df8cea032bab81e2688490f1ac80f06afcdf0af6", "10760edf9718677c75f8814b487d08ae7cb120a7", "1f24cef78d1de5aa1eefaf344244dcd1972797e8", "555f75077a02f33a05841f9b63a1388ec5fbcba5", "2b300985a507533db3ec9bd38ade16a32345968e", "1e4c8ff205e6182b5c788f6b66d4d5b472470a55", "6f2bc1a4fbe3e00881b56c145a568264bd3c76f1", "91c25f3942e56cd387558b9c818aad3d0d865830", "8fed5ea3b69ea441a8b02f61473eafee25fb2374", "51173e0f31f362f3ea59ae3e98c5cdf31b2a2ec5", "181936e1842f4b5af85472b9809638e819d23d17", "e98dad1ab4eee90dd05b6db36498f021ee21b29b", "641f34deb3bdd123c6b6e7b917519c3e56010cb7", "6bc471c32d7eb452e9cc0fa975d55ec2e2c51cd0", "b30ba233313453e03ee5fc326ced0798bc4f3dad", "6abdeda10a4261ae2d91806d367f7eca19e44792", "6555b02c569b2565de31a1685141a07b20596f1d", "76dead9de33b9dec6edee3172c4d741265adf1a2", "035b7af000f1eb4c0bf825fedc4166ab31c3f8a3", "cd33b3ca8d7f00c1738c41b2071a3164ba42ea61", "6ca8af7d20cec9684a5dbf0bf55f60945e75967e", "0f23f650e8f0e2aff20e99f52fac0b2332fd22ac", "2e739499316989fb91d23e4c0b7166915899b964", "18252a69fbdcf6d6301cfc939da6decdbecc9fe1", "c12fe001f8d1e8781de5e6e59ff9836bc6da6fbd", "621e8882c41cdaf03a2c4a986a6404f0272ba511", "6139536e1eb5bdcb49a123e79e854937fd2b5c62", "47caa516511a111b9dfd04f0eae55c6568bddb6c", "8336789c905e9c40ab9cd2a82626c8b3d38974dd", "0365ea467c169134e858bb668a8e19bd251019e7", "56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac", "28d08891578788f4a6a5f50d61b83b1be83315dd", "eed90eab6e1743838bbff2b24997c0d14ded57e3", "8a3bb63925ac2cdf7f9ecf43f71d65e210416e17", "23cc74166f85c8392d5ab07eb2c1150bd4822a93", "516f8728ad1d4f9f2701a2b5385f8c8e71b9d356", "a8b913b76533f400c5db3d04810350f7840f6106", "ea20ebb611690e4ed191a6f497c79f6aa2864d90", "f22c9094bae238bfcf040e015f9b9b703a8d4bce", "58ec93d804ceec167963d7ca1f6955a652b331aa", "86b6de59f17187f6c238853810e01596d37f63cd", "5ff17b14004852c3a1f765593a6cbf420f90d4ef", "ac40a025e4a7bc158bd848c2ee03244646ca4e29", "e542f3ef5e54d48fea1bf135e9d38c1c1adede2b", "32732095eae3a33614cd6cef2a82e6189f5a28a9", "5599ac2cd569ed83ecab8449d2f245e13034da06", "1a9839698e29c9f80db0a2ea8c4568be4e1e84d8", "b9b1529b66441945b3d8c90414a6abe0a287277f", "166aa92160f73201b3656a57f192a10685e9e759", "586c75a0fc1de3a1ed0a83c95eaa689939951783", "79bc9e5f4f77a529d1410538698eda5f8585e478", "44c4b799010f3136f0e793db1a3cc972947b937d", "58538cc418bf41197fad4fc4ee2449b2daeb08b1", "a8e785333eda0b3041c7b331ee76164f563fba7d", "c0c98bca6cf04e5b19bd2363bdc2ee0ad0d63a75", "519b605d432449f7d46a3fad31320a8a5e6d2d23", "f7f19ac1c4e38c104045c306f5ddac6329193d8c", "cd8b6a831c0120a0f22befa500bdaf11eabd3439", "07380a57102582a831ddc2fcc352b42fef99c784", "7c9622ad1d8971cd74cc9e838753911fe27ccac4", "3a013cc66f47cf0051b4a844578727bd4ca4dc96", "9ab21955dd9b7a1ebe4ec05305de8c20b1d0c1e1", "42201e66a75a23f734c4f676d18a55d9358b6412", "ca43d33c14625a7a0f7b7839834d92e836bf9994", "204625ffb10f876c8a93a8029cb2df156b41f5d9", "8febd4b37e01ff8be6684239764abe26896fa801", "2a47fefbe459e468efdda27a68dda9704270cfb8", "99facca6fc50cc30f13b7b6dd49ace24bc94f702", "48327d758ff5da4c4f0e0d2689a5deabeecc5a64", "38f1d8d25c0332798e0929594af2c43092d2c5c8", "a35aae241bc535d65f587b3ea816619998f06646", "256ef291cd320d39163d3b438010256a3c40c40c", "607c7d6b7e7248734949bdc1eec6cb4df1525e4c", "62e0edcf5a2bab8163851ca1d6ce50d42c367660", "d9bc9c2a245c766e6049954a2da53ce78a1dad08", "68df1699cb9ec7b27ee2b13a1b93f4bac447a1bc", "1fab72a0699fcc6a7f82af14bc025fc48065fa8a", "2fe5bea76853da079512595fb8bdd74ef4ccf12f", "7644b3a0871b8e0e7e1cdf06099e295f1e5fbdf7", "585efe3c8efd1a4fa2ed8221c278997521668bc1", "cff69200ee436efde19e8a6141108a821c14e374", "c10870f23c9d464b40f8eb022987bab3ffb0b844", "63148c203340013ea70d32337a869cc7f10df023", "0b574f70d0965d66986bb9e89df693126652a4a6", "286cd0494f6d362e9fef7e720edac086caa53cb0", "0235b2d2ae306b7755483ac4f564044f46387648", "4344ba6e33faaa616d01248368e66799548ca48b", "86ae83ce79f05952bd4a5448e901e626b8ba1af4", "e644aa0562ecf015d4abf6ae5297ce127bc85921", "e87b59db55a69e452d3560e54561aedcb59a1b55", "0a799a72cffc71c2f3ed04205ae724c270f4a8eb", "93c56758d92ca862fb5facd55bc8025faabba054", "9afe065b7babf94e7d81a18ad32553306133815d", "089ed02309d0754e4c72f2c72e0a92752951d00b", "61b22b1016bf13aca8d2e57c4e5e004d423f4865", "fe2d4ec5f7cbb0a96c5dc63003fba0811f1ff769", "83c332971c4534907afc4865179c2de30f2792c4", "7b47ca13af16bdc1f4b88e9b68dd3ea52d959199", "f9ba89183d2523368a2b2b00084405e1a0e37f23", "c873b9a7c61d4157a96a98025967cd09472e567c", "5ebb247963d2d898d420f1f4a2486102a9d05aa9", "80d42f74ee9bf03f3790c8d0f5a307deffe0b3b7", "17b170920b34f21a59917ddea7bcb5e5848c642b", "6c0048265758442d1620c2a239590d0d9060c09d", "e5d41bf4554831c204a999f5b5223fb51cc4aca4", "51b70582fb0d536d4a235f91bf6ad382f29e2601", "0f96d5e621ba6a843a28e303d8bf4a669d8f2052", "cbfcd1ec8aa30e31faf205c73d350d447704afee", "b430871ec2a19e1beddec33fa79d04d07b5b4a34", "3813a77005fcc87e1a65c272c9c7a9a87c80c000", "9d0ceae3747467488ba914cb2ca5b30ac3032286", "59ec9bef0d331444db7d763960095213eecb3b20", "052b35b3b3e8f1a8689a2e3e5c67ab08de094cfe", "c59b13adfb853c7a6355f2538176f8279604ab07", "beb4a5d17bd84fa5607a5567bdc1891ff6ce2bf8", "5a3092b266ddf97ac9dc9a07a0ae7c40b54470cd", "0c5c3f577ef559ed253ae6251999db16942c7e4f", "a6e670f5dee62e041d1da9bb4f3e1097055f1535", "c15fb21410e91cc3663f6800a3baaf737171a27d", "9b000ccc04a2605f6aab867097ebf7001a52b459", "21959bc56a160ebd450606867dce1462a913afab", "a3b183d041f8f3e90a2cf904eaab544070216367", "121b0f7122a8c9148bd175c7e6921498cfe910b0", "3560b01dc95906f18dc8f79ff0502a562e7a928f", "b824cdb86ed0b5c43d46a9811c170a661b4646e9", "926bb8d48fd8ddd8bea84edd15bce3b1e23ee499", "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "96625e9db95ede3c2ec507ada1650c3a7deb2814", "09e64d9e0654fe5d472ef73b479364d31ab362f6", "bca39960ba46dc3193defe0b286ee0bea4424041", "aa5a78afb6e66f95a72b97a01ed1564de9669ccb", "4dceeb9ab9f53715abacdb8dc7dc77e64be0e295", "4beaad1e490d42dc4669fd8715ab819394839aaf", "7e90e316819f220aa728dc1ddf73cf1d90e0af33", "5524131a5849a4cbf029714a7d3c61b353d63fb4", "8a05d0a98570be20bccd106602f3e981d9b05334", "bd64740d5e9848737c73f799b09916e9637b9a06", "358cfdacd8b3f946a88690e934e6844fca6c2994", "52fada1aac0678c4d880c84c0155882ab502b1e9", "a30c4e49057dd66b653297023cc28054f3905491", "c62b877c4dfa861e47e5a34e443a57599aca4e08", "871bb9f0e9bed6ea0c3b468a39999cedfbc7580c", "777644a70a243349f3e8950578c69891b7fc1df1", "c7f752eea91bf5495a4f6e6a67f14800ec246d08", "a88e796bbed528f17c812eeb3fc6e32126ae4f53", "f7ec90a8a2f24f82d260d10f986249e9d1523dc3", "6de676f420c4fdc3b674fd847c4d86bd396c31d3", "8746db1ddf564856f01555380903499553c03a4a", "7e8870d626d8ff3a2d8bc970390a7b130acfcb99", "1fbccb842cf34697c98532d69b044463985f90ee", "d826c91f5ab4281742cf4f603e20192368dab9c6", "394fef15f21f4747d38878f623dc300274c5ef1b", "ca23c473becf0048ef294f7c25e579d7095cb27d", "6d1c5cfb2e6827c768ca29fd76c2d37ca8b99a6d", "01f0bfa8c743524b31dc5d0edfb0d700311ee292", "8959e0e9a24c0fe79f3fd3acca9d139edc0abcfd", "6d85d689be43f6391f6c585638a22f442519382e", "1719ead0abb2cf28b4e8c261a0b22fa6ea76dbf5", "410ee60056d93ad73651984a8ef13c36a0ff18cd", "b41aab61281536351711ab6228ec4009aad17d64", "9887ab220254859ffc7354d5189083a87c9bca6e", "df8684817ada3d604c98f12b6b22512b2e29a6cd", "9fc37eccb3d12329f208cb7d3a509024e182a100", "96e626c8d03ff83b10adb45901e2e7fe247f2cd4", "a8ddc84b2efc65810ac9081935e688c4a155bc8c", "40772fee5a87ee525d6f3178bac489ce9abda97c", "af0358a3f4e147b378efead6b9bae0575e0e8e97", "157eb982da8fe1da4c9e07b4d89f2e806ae4ceb6", "27708a9d83d4a056b30a98f7b72f391fe2899f90", "bdcdfe3c0ee4c93b583ccdb9be5e83583b4fc178", "65d63caaef6ad6a4863453f97652782229455606", "8a5fa04b749baf69a1b58dc768b2b4d9f2c038ff", "b7870a68ea9d9d433608ee66cc532bd78e171b8a", "746180ae6f60df48992db104dac452dc079736c5", "0b5bd3ce90bf732801642b9f55a781e7de7fdde0", "4223666d1b0b1a60c74b14c2980069905088edc6", "284d9c3702b8820e2bd89b1c96532f12b3afb336", "a045a138792e92e7e7e3c9c6735e9a21f2bfef15", "ed023651e31cdbcaa5ef2ee1d71ddbc2906c2f76", "6908d18545b0dd526a179929c1138be62edfe9e4", "16a766076d61dac7c1b72cf729319edbf582e31a", "8a25899de6aebcee2e1e2c54d38dff9188434c2b", "65a33b8e01130aebd2359c32ee6b635cd60f02c5", "3e4f90f3d5f489660799f0a1eba56c29ccc2f4b3", "2542a1e7b005d5fe6b60aed0c4927e8b87d4b14e", "eeaeca3a601d65d2d978bf3da43ab42fa5e08ed2", "532d6721e9f8f9514e090419d46d98fadd0fabb1", "0d71eb0105d23e782c98217dbba1fb659770938a", "3fbe4a46b94cdacbf076a66da7ea7e6546e96025", "188df7ecd5ee40d728db03e5b4728b62ea8605fb", "7568f26230942351884793085d650353a83b83e3", "37838a832838ff3211b358bc51ba5105b9d82e89", "a8e75978a5335fd3deb04572bb6ca43dbfad4738", "74effe72d0f92909a92a5cc20ee28f09c862cf7d", "b1e07e1b813e7cab3b0dc43455a56dfe93690a3e", "4ea63435d7b58d41a5cbcdd34812201f302ca061", "4bc55ffc2f53801267ca1767028515be6e84f551", "f4399a244d9675fb0434cbc6911886e8ecabda5a", "4e2e22724ffa2e0f9a5dc8c6a6c44ebd8b263148", "2f06446a2174c30a21031f6d5472b87bf56bdd6d", "e0081394bf477e8b233e06dfc0a706c1256eff7f", "8765f312e35bba0650aa769b59da7e8fac9e98aa", "b989e046b57da0c14296cccf5f7d265edfcab4aa", "312ab9bfadba23663f701ef5c3805ebd90c0a59b", "571ef7cc172b265d912a099c14a00887790aeee5", "23aba7b878544004b5dfa64f649697d9f082b0cf", "04fcc44647e867917c22375e0ade3276d873fd14", "d41e35bb3072518019bd1839a5492fca02b13cc1", "013eb535ed8ca00cd47ba50b475429c2d7316ceb", "782ddac9ea1b378bc72adf7c31f67f3f7c6f8d25", "b74fa93833b4bc14a0d241c1f0865b7de73ade4c", "1b917e0383ba8b6236ebebd8b20d6e0fca2fac40", "7043061af1a96f866dca2427bbc588fd3967cdd0", "90bc5091918e4b4b54dd10ef77c8628da75bb5f0", "576d0fea5a1ae9ce22996e726787c49023fc7522", "ffcf239395eed1ee124187d7ab38a2bc4909bb93", "c1a16ee838d977160821951e7264af4b2e7c8265", "42fff5b37006009c2dbfab63c0375c7c7d7d8ee3", "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "2116b13eb3af418ef02502715e8f3c98664e699a", "f789bdf00efb74b376fa9050f7ae0ef7ee29594a", "8db9188e5137e167bffb3ee974732c1fe5f7a7dc", "0fae5d9d2764a8d6ea691b9835d497dd680bbccd", "7cbf3ff040ce3d68d530fcddccf56788fa9b7a53", "3e51d634faacf58e7903750f17111d0d172a0bf1", "aa591e478728f383337916ce4fabcc3f90cb58f0", "33a4744818b2847d7d3650bd547932cdcddc2f04", "2094af31f36c691551d27ce3d82eaca7517b7214", "355b26b7e9ca064ac474f4bb05f738ab11139b3c", "0ab55cacf597b25ca649ded6ee5c05a76fb437bc", "305cfba1e9be3f0bef1f0474a6fa86f76462087e", "42f9ad17169fd0dfaecddf15a0e2f939efbfbd58", "982b86f58f33fe27edc03bbde5a419e242c99998", "c980443ca996402de4b5e5424f872acda0368831", "8596c93780c550f12eb1e3737e0cf8bf7f85456f", "b4646d7d46a4532281f404d6bd05cd280b4a90c0", "8248cfa89b67b69d8f9d0fd27fe0feffa22e939a", "4bb687247d76834f6a16002f5e78244f5fa9370c", "fbfdad055b3996a50ee6da680def914c63e45e44", "9d5bfaf6191484022a6731ce13ac1b866d21ad18", "72a81c18d6ea427a87a27871d5ca011821f5048c", "6b8febe3e726fb42530e8f9d27b412d00163d045", "fa9b58f2273dae80268afe58052023c9529f97a5", "695733af422d3cea7ae8ab4468fe2f741cda46c8", "3a824616c851b15381330f4f3aeba05054f36a9e", "0f04cfd5cc85fd82f98eb9f16128d67410e21c18", "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "19be0940e0cec7d990f388f03bb5374e240feccd", "0ecdbaf1d77b9c0f16c1d52210011415f7c6396f", "b00d87ca1398fe8df674292740f87dfa1fdd5802", "0bc7b12b4eb5890e5e9fb45db2c7a801980441cb", "7d91e32ee2ebaedcf680d19187eed6604cb5cbc9", "2f5b51af8053cf82ab52bbfd46b56999222ec21c", "4ff9d14631b46f75fcea833fc0ed8ff2ef3ea855", "2b55dcb7383348411e519c21e7ae639561984548", "3d143cfab13ecd9c485f19d988242e7240660c86", "8b0af7d056e7e8a5ef2bf1278fa0740771e23401", "b2c3cb4d85bb5da9d99656c8f71fba4c552f1326", "d91dcf3e0b381e1a4705d753cbc2a2b64d85ff62", "076f2dca12b3e85c282fc678f0d22ad6a3e6dc14", "19322e9334a833f68d3cab078e8346364d4c4566", "bc9565725be015135142305305a1c85fd54d99f8", "d5eac8636db83a1af680ce54d5c8272317edd63b", "4cf74211e635c73ca5816199ef33d10c3462beae", "d5f289142cb4c8aa3dafa6da9f3d0212881af491", "c11de1b8b46729f0c055d957b55f6801dbf03048", "4dc8814e44dbd2b02f61fcdaec48d053a6f97537", "4fb9f05dc03eb4983d8f9a815745bb47970f1b93", "46f32991ebb6235509a6d297928947a8c483f29e", "a996492cad4ee17945f6b8ba06ae87cf38223242", "294eef6848403520016bb2c93bfb71b3c75c73fa", "42f258d271425b0f87af50f30d10c8fc74354c26", "5a06b8ddb91bcf0d7d1f678584532314acff5b77", "6cd96f2b63c6b6f33f15c0ea366e6003f512a951", "539f55c0e2501c1d86791c8b54b225d9b3187b9c", "3b9a2f0fd429016b531ed398017da029fe5154da", "b606f64a792d6055e45d0a854b9fffbc857a393d", "7e5316031b08b8855e0d3e089b7b412ef3ba425f", "c8c035ff19fdea2b8053d781b999356110a43ff5", "7ead08b98488f2cbce655e26689e9867ae4e9b0d", "71ccb8bbb5f5cf30f14a3065c69e24218fc9502c", "683ec608442617d11200cfbcd816e86ce9ec0899", "4967b0acc50995aa4b28e576c404dc85fefb0601", "23f93b27908a233f920aa1e652982da367822067", "28226aedf1972af2008509cf3d1e7c6646c77f7b", "88bbedf7f6f0dcc830640c521acece28e67be356", "0a89de163c74bf76b929382cd3cd506547c1642e", "b6dea361ec38d0c48dd9e1e143e0537f49d9e73c", "341633ccce0f8c055dfc633765d905c269e28f82", "884a9ce87d4d2338cb97bf4c8df3cdb079a87d5e", "7de8a8b437ec7a18e395be9bf7c8f2d502025cc6", "b24114325299b30a5dd7c526334d65a5dc21e5ae", "af9cc4ef2a582243594c7da53b1a090364b9f678", "4e37cd250130c6fd60e066f0c8efb3cbb778c421", "234082729adfd043712dab007a05f01a170187d2", "4675f2ef941be7eec5111d521b087981118efb1a", "e62ad5105b7b74e2a67ed07a7486f144c4c77564", "d318347969fcba50985047a669d3fae82a157a91", "419a6fca4c8d73a1e43003edc3f6b610174c41d2", "f28c5a652ddf5985befa74ffcaa97b1bf301c1ed", "ad6c7cc5c0f4ab273fef105ff3761d2c08609a20", "10f4bbf87a44bab3d79e330e486c897e95f5f33f", "3ea79a2158151c666bbf696eba7a5edb5b284974", "d5053b0a1e1a27e4c93eeac69232e9c2f43bc646", "8d53a331b722bc9add4add1571c8ff9f66ce2123", "65236351f6e0c4ee02e0effd575b7b9c93e2bb79", "3cd4f0356d871610870ea94c25945744fde80139", "fa2fff0b933388352841b52f74f9469a41b1ca64", "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "59cee3d54dca04207f57b19c3d1a31402a75c3c3", "55fd4639c2126de5ad69d23b8a6e670a05911b9d", "f4b99820202f4b9fb1cbdc77c25eb446f085d6c2", "c9d5d8d30bee2a727ee2deaa38020c3a867d24d7", "1742e6c347037d5d4ccbdf5c7a27dfbf0afedb91", "8216b3b812c94f6cb48ae970a46cd18d845cd19c", "9aba8c4a9de4e9d8cbae0d2016500f1a5d47170c", "2a99cd2e9fd5f6b5c6badb6a813db730d4570e47", "6d18f7657b0df2155d5171af8653e840537d789b", "80cd0622d4fce8370de19c2706a5f98226f22cf1", "ad9ecacca5c28b098096ad0cbd81fe84405924e3", "0b3f0c26171d1d899fa64f380ffd714bc6e700cd", "17d5e5c9a9ee4cf85dfbb9d9322968a6329c3735", "06ec0e1d2c4a27d22f36019b7049765d9ccfc5e6", "023decb4c56f2e97d345593e4f7b89b667a6763d", "55ecf12976d0dfff50122ef87b88bd4ae1241305", "9d91d12f108eda42b9fa7427617f76ea4676ad15", "bd5dceecf4a68575057e9032e346d3190134575d", "befc6e69cc611aab94ca8217424c83f467605dce", "db68105a787d7ef60ebb5bb4cfce151d47748123", "e04d4d69ca0b3772096a6f47ca4dbac0b3ec5521", "8c09403636275797535fc2b4db9a3a3d66aa0dc0", "9b3952412ec2370a1b7f723378b26c37aaafe8a6", "1d0dc5f4c63a8f7fbac3cf8976132e7c8a16ccb7", "10156890bc53cb6be97bd144a68fde693bf13612", "99c1302fcba313339ae87be3bc3ace90ea290a69", "5b14abbea83270282ef94fcf3f3a73e7d8fee023", "e621395091292a0fb55b8a9ca25461e36f0e2cf2", "7ccde3de8732d44b771f174b7149eac3a6959a6f", "fd7f23a63d12bb7ed8fce09b73fa5cdcfd64b53c", "2d68cac1bd2f18631051cfbd4a46b67be1a939fe", "38f56240c642677f2245aebe94fb846988487570", "9b63eb83ca12c16f9f5fbfb5532121af9a28d4b1", "078ff2806fa1f283833a0cde80681b5fc51142b5", "53941d88bd0daf576ce571df306a25007b76a1d1", "9135379aba96c7f4012232a016261048eb074e8e", "da8eb0d7666d481ba0d50a03067dbc1913131495", "7ec7080708b2c51c46d5e6d122f20b3e2d99a4f0", "4632cab5af714454355b5bfd1e99aec097afe91b", "ea12d29c3d55c6fe27f451911a7a662b32abf63e", "58a063b67e23e5535f823d52d9eaddcf8d11f179", "ab65f378ed60b85f09cc037962758b8cd74c8e73", "f07fc87ebee3d6644412cd14fe6dcdea7c7a9f26", "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "aca728cab26b95fbe04ec230b389878656d8af5b", "92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d", "9ff3d2581fc86859b56aaef4ef2e1009e8bbc272", "8d6dbbfb8f77981492f67664020076f0b200d2ee", "ecd10c99c033ab01d23447ec8026ac758fd99d0a", "7c0da0fe4d2f29b901d9edd74b2dc753e68abccd", "a318a791f207050366d6ffdec3ca609498812d67", "64f0af8f7a7861491b9c6a75feffe0abadf61b82", "7d18e9165312cf669b799aa1b883c6bbe95bf40e", "b8139046b781910ab257d945f54414ba73bc75dc", "2a4ead5b64980692ce6937b461b9f406d19b3e78", "480e415e733212b1a9344f155230cfe988190199", "0532cbcf616f27e5f6a4054f818d4992b99d201d", "766794580ddbb53f4e29f4912b8d373df7ba928b", "f37ee76a283db27fe65faf17d7b2900c5c0613b9", "ca3e88d87e1344d076c964ea89d91a75c417f5ee", "fed593e37a3f06619e5443c4124db0620d064c51", "e4b4f24dd57431cf1a79bd1f18f5085f2d1eb220", "244ed43a3b86d80f8bfd0ce852b3c2fcfb2d91cb", "3ddfa1e5e57c8f439796d092b3059075600198b1", "0165410c4878ab90e6e82d59e6416fa8e0d40518", "c0be23ae7f327f9415e583aee1936b9932c9b58b", "a129c30b176820bf7f4756b4b4efc92d2a83f190", "42ba8fed261e754b86d51e4f69e81f142f39fdf8", "dc8554b84d2ad7423a3b0339103488e76a591eb0", "a6c99f51f65c0cec6829db5b3be4942b78ce7e4c", "e4ba6b383cb00b9d5e315ceddc9bce6902b7b35a", "0ce3a786aed896d128f5efdf78733cc675970854", "16d6d9a71e82b3a53f7a577063f5a4e7cfc298b1", "3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f", "c1dc9dcd8e7f1e10b7da5addd222e5895a4485e1", "601f184fe6c5c382c0d56a423d640ad70ad3c88e", "59e3a1c0535de475ec06d637cd3d649241dce59e", "187110ea2bb38456b73fc50399bd7ce5f622702a", "81f7ab08c2b522dc49b402de467f485a51a63544", "7d09c226ab1890efa5286aac020cdbbf551312df", "3973a667588f1a47d7cd5829a7c0519aa732b873", "212950ddfd0fe7ef0b7725b7ef0e2a7c18dcca04", "dfe31177d3722f23433434808aa2d943d14a5157", "0313f71c856b0732d7e7b46755ca77eede77f2f7", "7c9a9a9679845530332e89f1647e390b3af7beaf", "e4b1048e37c7f862392864dc980cdd35202f197f", "00dfd28b91ef1e1bfa2e205dadaf23325b207751", "63d9b7d4b8044e0559631d4a991e6c2dffc87e4c", "3ef62bf524e310b0d4144c000bf76dc418d57157", "875c0171f83296b929b64c2f82f626250f6004ce", "15d57e7cbdb02e3e70c47a9a4016f5ca3cad569f", "26aed9ae723f59238904be6da0f766d6e64f5415", "2e64682caf77309db573ee439d988233f71e88ad", "bc449b54e4664c650ee2e5d40d1a35eb13033d3e", "f81cdc95c14819b9b234cc1c4cd79d02292cd572", "550a7ea61ca745a127b767b2267f237d5fcabd50", "050e51268b0fb03033428ac777ccfef2db752ab3", "4df922499ed5f3bb4c40b2ab2a9418de05135592", "7ac4fc169fffa8e962b9df94f61e2adf6bac8f97", "deaa2c335481da0af65a88fbacac548fae2f5705", "a4eddbaf04256aa35f8a72723ae8f3be9279b282", "6d2eed8d7a4dd2574a39bb0a497dc2cd1cae1bfc", "23b6f964f3e93fcade91cac639c76136f30c3054", "db3da1be27b591f4bb68fac369e132a66b26ac72", "96fda9a7396a4d61d91e927ce885d4a32d6f7f01", "552a2a8c921793dc0036e60b98590bdb40261998", "63e7c466326ab0aea0cc349b4bdafe0e59ab801d", "f1bc2574c907b2740a2653b82c3fab01ecd0e458", "62306db738cfddd39e1f12e22bce0f7615ce58b8", "2ed7d95588200c8c738c7dd61b8338538e04ea30", "2910fcd11fafee3f9339387929221f4fc1160973", "25c3068e7964d3b894916a82b1fa93c9d6792886", "1fdb84cd0ce04df3c4997059a5571e043dc32c8a", "74f643579949ccd566f2638b85374e7a6857a9fc", "ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c", "f9e22befa53647209c9f63f2dba7bc56fd3b6f08", "2f1ebbcc1ae5e2484cc82c8487243e5b4e6c5b81", "ac246edf1bdcb74bee9439b1faf4ea16ba403676", "ab9ee18797106dc5f1fc97b6f10456f75d81749d", "08c76a4cc6f402c37a050cae5390427a5b66a467", "d3565af8028c0ca486b452e55d0c577c34efb5a6", "75c4b284f13974fe8af906634bca05cae4feeb16", "69e62bf7678590b77c1518ce61df274c3ff62090", "f718ab6b96688e24bec4be15d66041ef24a94134", "6d5e12ee5d75d5f8c04a196dd94173f96dc8603f", "64da1bfef7db423f31ff92713fbbe1994ad4124d", "ac7c643794b9f55309f0d2041b12ae7bf845a52d", "d0e1ad4f3f608124cd3efc2d5bd01b421ffc3274", "6f3da2bbba474d872d9a863191824cbc3b3f75c3", "7239ffd42e64bf63bffd55f4d01d57e3890f5e8f", "24b637c98b22cd932f74acfeecdb50533abea9ae", "e08038b14165536c52ffe950d90d0f43be9c8f15", "74d673bc32d8def7765de2c135a029f77dfdfb6e", "0831a511435fd7d21e0cceddb4a532c35700a622", "59cb6df1efe0d63b20f3e976c308e99334b9c363", "4ac4404957de150ae9d18d8bddbc8df1b23415ad", "40492c5e4e7b790554c9a990549e01808127f625", "8bbafa3efb7b96adb95128ea2a30a363bfe06812", "52d8dda2740d11642b900478c421877c07c9044c", "5c19c4c6a663fe185a739a5f50cef6a12a4635a1", "c6e96644d61805c3451505ea5a9ba3a62e8b516f", "a3d747a72803de5200c39f88a2b7fd300474f89b", "33595d1135d9eecbda62bc568d2545aa3161276d", "8c9466b5a101f7b671d347da5098e387bb85e3c4", "c0e5ebcfa7fd20fa688e6623fdd0dfd5eefc2fad", "919cb6160db66a8fe0b84cb7f171aded48a13632", "f180cb7111e9a6ba7cfe0b251c0c35daaef4f517", "1b67053c682dcbc9dc368de89fff32f787320a96", "58cb1414095f5eb6a8c6843326a6653403a0ee17", "2ca8febbbf1dcf4bedb31f4d8ed599858b1e8a65", "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "5699bf68862dd098ebe78476325ae7c5a54145c9", "55019941e34fba802b7ffb5b27fcdc00887334fd", "4acadf133d82d91e2186c0ccf73852de9901e555", "04dd157af1cb4701404d6afa14cccba495b21399", "6dd0597f8513dc100cd0bc1b493768cde45098a9", "b3f96035651100b361e8c6d13e1f2022b406e196", "045b45adbcb83a34d087c917b79274858a878937", "6801c8ea1fcb2f76799234a9a81c6199dd61b24c", "311bf799c476e3ae8382d8492f61bb979e6593fc", "91ab27348b02d1a241f9f4778695d1bc26f55abe", "5f7fd05f09dd6433cb273a1d33bdf75873509983", "0108504305468275985da608b77dbbbe4aee34c7", "58d821874f48c3ce748b523f7defdfb72a608392", "42bb241681c4bec1fa36211a204fa0dc8158e5ff", "3d82f99a994a9702520aeac6bcfbe1aabb2dcf78", "781e54b5ac35e21f30f5d1915103d7682b8d18fb", "d73a0c3db0b347bc6f3796eb89d1342bf9ccee9b", "8455f7e992596fbb39212897a9421c9005949f76", "916dd8e8f5e7b661dfc69042160626136f1a23bb", "816c1925de9e8557fa70ec67d0ff71a5059eb931", "148a5fa66480afa7744409cde659f79c7c9b3fdc", "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "5edfa28559c054b23acc43ce0f975a04ae27b331", "f17bc1c74a381f06d607f2ec6a06b10dd692d01f", "bf6a7250119f5c09c1a34f4d56f50399b061f3c8", "35570297681daa3973498eabead361d0be961672", "0ca35af582b95fbab3829f98308d104359c3b632", "4669b079c3ca15aba08130c36ead597014f7341a", "60093318820f49b5a105352a6b8512d1601af153", "1609cab807f391fe744f089aefb647e482dc33a0", "38227805c37b00ee9fc5e165bd4ad926f3d94ca7", "6dc17e91c0b02ff3b9e5c9283924279c28641db7", "737649d6ce286b69df14c90635cda19a5a014139", "ef14393a9b6da680390461901f8be949e101a88c", "0827fa5586227437df34d63a8c49f5bc8ba077dc", "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "c61cfd298fcd38cad92b6962309e5fd66f576209", "3f95a5146d97480388b2f8d4ae189e4f7374e715", "f0ae665f5b4a9314c77dc9ec285a335ee6ecc15b", "b75d4b08a5e4fd33e6a29c2e8fa64b6954a95165", "08847df8ea5b22c6a2d6d75352ef6270f53611de", "997fea9df7057cd342299e90c1c6e6e9f1cc5a88", "e2edc7e7a2832e2f6014945afce4f76643cab02c", "d88ac8d78f4030de81e4be1ef5048072e6dac2cd", "9b555d8c8f518d907fa273d8691b008d55aedd92", "4d36d147297767cbe698436d77c0b93b1b47535c", "2e222383bd75d3c3961ac073e8aabd3557946601", "87c0f3408ac4411b615756f6c854177c440f0b2f", "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "26c9e57116061594ef843141a6a8bc49759f766c", "c7e7f6dd94576b7072b805d6b2db0529c31a78fb", "eea931e63c523599ba75524938a0be9ea36e9c2b", "e328038ca6e0c7bfc1bb6ce72931cfc5d3f65427", "7fc2979d8efa6cf5af0c66ca2556a83d434690d0", "fa1f4f34cf4502ede6257305ed8e6c808b6b3643", "2805daf3795e4e153d79dbecfe88b830ddc068d3", "267417efe1bf98ae904ad3970cb5742ec705082a", "18f7fe72fcefee11082534f4bd254d67e433a2bd", "1b612877c4fb6fb7faf395357cd8092e5ec5dae7", "16fadde3e68bba301f9829b3f99157191106bd0f", "4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8", "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "5cebc83001ea0737cc46360850fd294327c82013", "3aa1b9194fa2b89f647caf2f222c1cee7009bbec", "3fe4109ded039ac9d58eb9f5baa5327af30ad8b6", "06e959c88dcce05847a395dc404725dd0488003d", "a03887f0a82f498f57aec666d7e6a9505f0edec5", "fd8b1715ad34858bf8650ac549c4249d86edbb7c", "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "a3f1db123ce1818971a57330d82901683d7c2b67", "f4557028562003c13eeca41b175dd4f4a03659bd", "16283efecc7332e363c9419d7129bbd5d95cbf4d", "5806ff24d62e868b73312f704e7ad8d74eecfbc0", "45a6add58dcb5587f607b8eedd92078560c313c5", "4631f58f5a1ecdfb1b0ab833c3c22f2c05c576ff", "0c1d5801f2b86afa969524dc74708a78450300d9", "1792f5304fc9999a2981e45874f0d6ae3588b4bb", "99273db59af7927c5f4bd0df2e424ed7ab655857", "f1278b44acc73b41c2993574392047f8d10e997f", "a3ab3385a634dc6022dca37e65494081b908f41f", "251281d9cbd207038efbde0515f4077541967239", "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "943dabe57f65d9b7af589a4e4db6354db89ed414", "f66bc143d85d2b1d9aafec20f598a21d2b90b0c0", "534f41985a7350261a03b8c0dc54e218115dc4a5", "15ec39729aa70d75699886150fc0e927278c8ade", "c0d10e4424a1b5e27a84874d140e922a829ea9a7", "6fa39c0221c8bcae9146d31646cd9f70aba7190c", "397fffa6f785762acb3cd3c96c4c6b65058b816f", "6daf590f25f0a0e02c46b4d0d89df0eafbe23d06", "8d4f12ed7b5a0eb3aa55c10154d9f1197a0d84f3", "2cef1515ac1d98f1dcfdc9b84c1a3b6f3758b9d1", "5012a2408b4df939dff96f77c456747eb15e967a", "29dbb9492292b574f7bfd8629d6801d3136887b7", "2534997443c7e183c9f8e370ea1e82989ecc940d", "31e1d021bd06054bbfcd915794e84448ae681000", "575134b3d99ffde52f238b82b74d6ca3fc5ba08d", "c660f261615f4a0185fda548b0ffb0e997a918ea", "02a99a43670ab83e77de9d935eb8d3d164e1972c", "aea6ee66bb58bed475a7b4f8266210e3f49be3c5", "86131422d485a09b12f40de30457683296f1d1c0", "0edafa576c8c89035db8ad24a8a1af5d457b746b", "5864688d1af1c139c567f323b5056b2ded994b3e", "199aabb19ea78576a74d573739a7f35cf04fac6e", "bc1fa3efa43dfb79f6f8243d29327c8ee06e8a97", "1a5340212809bbbce6e0d61720209179dcaa8a26", "01e5eb25e262afa4289d39b964c837a22a32f5a2", "a90193d1dc557abe386c0836fb3f16642702df7a", "498b7c42b8f9add7c83920c49a4e9d2fef3a514a", "e1d1ed79174cd8442409bcb3f296101852ddcb95", "6049a381a0b79a90344306a885f118b47936ac9f", "21cfe8372be299be84818b4bcbe07fa6736540b6", "7ff1c04c210d1c0eea7b7c341ec9891e082b0c2b", "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "26dacf88181021939c09ffb3529ffd2854fc7ee6", "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "4ea759e13b0991772c61a4ede058d59d5e33a71b", "71ab6a9bdc852b75e12f6ce6ce68c1083475e627", "7dba0e39bb059103e10fb81bce2fe831f520fb38", "4949241e61243b8998835a48548a45473f41c27d", "e41e1e4d9e578c29bf648e7098c466935b50f1a9", "0a7d081df9da6562a0c5459cb561f5bea0399f58", "43734a8321c4b279a6e5bed9f87c849ddd38068b", "39971d444d54fd9569692f1a03f94d847161dbf7", "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "39a2cdee78bd671a4ef203aa703e05232840ad83", "2251a1efad0cef802fd64fc79cc1b7007b64f425", "3bb724ee496100e12087ced6564198d63d843259", "1712178708eb74770af9fcce854dfe21af9d56fc", "ad5d2146a629b786712eb21d4dbfa31394ca07b4", "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "011d461718c39c9d196cb84b2e881c1660ef8f55", "e49e408c67067e4e001adf285cbaadf9be5c1b79", "4f606761ce65399ef4ff24cd503ec09cf53562e9", "86a84b3a61f67f59c5bc5545bc88296e46681ca5", "b0158b26f01d5fa18aac51ece055cad9a12f6d87", "954e5ecd158a38c03a38232dbdbae37dff6dda66", "c930f860b783f811814feb3cf5905287a62f8050", "b33fb5158af1671d65bd927595c56c52e24e4f11", "795bd86fc22ec544e7cd9b3d3c2ccabe72de54ec", "16aec3ee9a97162b85b1d51c3c5ce73a472e74b8", "92f8626d4b2a5e8eb08bc7774eabb65e9cf616da", "6f37b6da734c2a13d2860bc5a23e809148b39bd7", "10559503926fe22dbb382c31541b0eee5c2cebd8", "d675a54dd5e353f99a1bec3b2ddab925a6563653", "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "6feea436272077e5c5da2bfc55b4ea5d9d1a5dfc", "e48432872be1e0449f50c6807b274d57c87a641f", "810cb5228315ac027bb8fbca94f6f8faa6ff8016", "36d76954bcb4f381f3590598d5f00bb842ffddf7", "1a7243913d9b8c6855b1eb3bb6566f2f1041d50a", "35b9ded80ce2b30ee115b8198d146890b9028d51", "0dfb47e206c762d2f4caeb99fd9019ade78c2c98", "0f7bf963a06682d69387c54632cec9e835423617", "95debf4c4f88d48a71bae9bfea4032355805aa2f", "33cd316d23f691fa324b651154b01100542c4e71", "2fe2ea6e0bd939b3c2877d1fa6444b81d9940c35", "2954deae38c40a244f6a9c0714987d786c69db7c", "828dfdb73b6fc92952ca88edb8162d430e6cd995", "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "7b70ba9f7b3868371677816e6c9b5022f4976f57", "ebde14a5d0137e970bfea350eb0ccc7d4eec2394", "26919156cec1cc5bec03f63f566c934b55b682cd", "f37655c1a367e68fee926feb66b29af5be58a45a", "0141c695e4cf87cc58e0d552004bcb53258c4915", "beb9cecc5ee89dfe6307cd3964743b1088c65082", "03270297b85b4a5a0d3468767ece17446c97df1d", "aa7c72f874951ff7ca3769439f2f39b7cfd4b202", "118c8bcbf52fbe15b38b67ef3f30839aa7faf2f4", "39d6d71aec74a9a810239f04db2f8854d2f966eb", "a107250d3568e5ac7a7504f04b1154da8e9892ba", "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "b5b63c7b9ded97da404c404be0a47c3fd91fc477", "0ee91554aedcb2cc4e2d2a15eb07eed1bbbac2c2", "61847a342471d9482129bc2d6e0c79089f331040", "7d1d282db00de79c6bfcc409c483cbc6a4582626", "e1846cf49132cae0edf24ddbe281d470b67e8a14", "0c6eff59e210c3af9865207302199412f3f91914", "672982134f8a2c6143ad3179354f39ecc3ff798d", "d2d5d61dfdae1c6492d15eae5f0f37f460ba4030", "0206ebe8a7d587548ce8f4507ab919c43a369014", "481fde422a31e21ac12644e0df95cf66528f52c2", "2af9ee8ee3ab4a89ae0098a1f9caa1aa9dad4e8a", "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "b7291fe7fb5480059bf56bf71c5bd54600080752", "821702d8c32176ab03fb39b2a60a6293a06d620f", "86f17e74b905c8251223caf9b4e99784264c6252", "db480f100004e3ef075f9404041fe4f89fcf4e0c", "d040a7fb0a0c904fc4a759c39e9705e8604ddd98", "deae19c928571d3c1101660b0d643d7a7ee893b2", "ea481ceaf3ad8bef871a9efdddb27c345e0c3b4e", "77d51bea8f2511d2b039a6da3f5319857d6c7ee9", "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "098a0bd7c948e9c94704ac5e8c768c8d430e1842", "ad500c69ab1b228868d47315340c3d7fac5dc175", "272ac22c670fd0c7c3f1b4ca02e925ff22dd4b27", "abc5ee7fc8129c82fde8d151408042e4673762f6", "1dc4b5e93233fc632b070c8ff282ef0fe9141f64", "8a65a86ca07dba867b6435819239f96a6d825bf7", "3a92a00b41dc6217f7685148c8a378524fa1a542", "b03f81c0461e649124ce5b88b44786bb1f8d24e0", "2ac986ec18c3572ee4f922ba9a90ae374563491c", "d3cc9c370be5f28ce2eb06312df64a8a5a40feb5", "e33b5e91eb12ee3d7a5d134669994cbde6673df9", "188d823521b7d00abd6876f87509938dddfa64cf", "235f8e797bc10561ecd684023d2c980d990ea217", "171585599fcc0cb2c2c190a3ff395c2f5bd331dc", "c3a20a5b67e478529a020dd1749fc52a2812f45b", "32510e7f88bc0767fbbc811397ba068dbc4cf549", "4b39b981133a91052956cc42d2967f349a95cd89", "782fb036d3bedcaa068610d17a365bdf6c5b1378", "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37", "6ebfec00388b6975c8c38aed1ebe006eae79bcfe", "6a0279c043eadaa09b5b486593c0f2f4f68adeb0", "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "90e55d06f0c0234712bb133df05a24ccfe7fc87c", "bc4627e1bc3bbe21c46c4011ec4f9bd377ec83a4", "d055f36e7975fa5b7785575dd64b5f95b9088465", "3fbff11afa17f4c6f13f52a944ff9588be52ae41", "47dfddafed43bc5afef93ac90ea3376a02046151", "a71e3cf566de457336aab9dd6a5f5d6282b4a6af", "7797e267972c98ba1fe38c019b689f8b77d5dc88", "66be409861ae97fecb6c70ef160504574bba6dd7", "2236294e803316c5934fa387f27d128fa7819a03", "4bd09fc152d680dbd3027ca14deea290f7bdec36", "b5817dc821447546c47bc549cf6676f5da78f570", "b2c46084d4cdaf407a43d3a2c213b9b1a1678206", "0c4d99f49654fe04a8e229a20a6e0e0f0d81337b", "ab36110a9c443d32306631ee2fd37abfa64bc1cd", "a8fa12c662447903fbb751eaa967f861ea33abff", "6e69de19576ea2dfa4cb84a450ce18eccd183a95", "657bc02d1522eaa89c05e60ec8c5614b0574843f", "ec3472acc24fe5ef9eb07a31697f2cd446c8facc", "233913367b5006277b04a8f7651f51425f13697e", "33f885a7e1369128534aa5f3b867bd42de9ec683", "d5c8e530685c6496ca9513790416b2ed61e5f6b6", "95191c16bd1f3b50cf41adf92f8a8bd882270b74", "076f4d9713acd7188a13186ac857124ef44f466d", "1e768d4f8114969070dc2b8864c44ccbf7ca042f", "0496d10bcdd29395846d05c2de711db62be10630", "413e3b68cb2cf3f7ed51b95552c0b5b4bb762451", "1d35391869824040a081de1f35ba56afa35698b9", "f08f909eb07b3fe986510901e1234436c584fbb4", "cb522961fae4cfeedcce8d0e3cf4cdfc8fe2b701", "7c15b34c156bc1fea2749820ff4e5f5f54b355cc", "4803b306597de49bbc8bf1a1d191063c2d2c9ebe", "9c54c038664ec0c167211e9855a2275a97101708", "d1e1c489ffe0331313e9c626a971bbaacc633774", "7b1af8cc9c2c43fa9d528bcfb05142d714df3700", "1209fa3c61fb5cdb18d1afa55d64f155398827f5", "360f8874e42894af71ede97cd153853e09238350", "dba552e2c43d0de1c7d33b4c2c84dedbab71aada", "1e2cfa23aa2a9981bdc7f8f007121de541c387a7", "ef48f1d8ec88dabbf7253cb1c8a224cb95f604af", "209df2d7724bc6defe87618b502e1d7c800a819f", "6911686f00c99c51c21f057c45d561c88027f676", "b017f588d281bce0a92043ea47ed4cec5db3ff33", "2e1ff08fb5790e3b5ba7864408628467795a9df4", "6c0f9acd62ca9f156ca632dad6d666209eae461e", "83af9d8242c5779c97d02a0a0351991e9bec89b2", "d984b580e02da76cd4d991953e6d430fadf3d578", "2830fb5282de23d7784b4b4bc37065d27839a412", "3b3e980a5eb1b838fd8f56c0276d311635537a8e", "af58701bdd28a49d234ba87d8f1b90d1f001184e", "286ea63b1b5df1b8b67718f25b47357ec3168e97", "15ec1faddbd61a9d50925c7b9b0c76642abe94e7", "9b9f3ec91e8ba185b0c7fd7545b0721e0cba9ba7", "cc3ef62b4a7eb6c4e45302deb89df2e547b6efcc", "3d0eaa64bd321cfbee9d0426ead5e41324707ecf", "d95acbbb63eedefd16f6c76c33ddf598348d039c", "eb0e0a40372db32d30ceaefad046b213fac977f4", "6d1cfdb82122cefbc0f27ee7a02d6a22483d6a05", "d79de82207d251ce411acb620a0c44a7ae71f5a5", "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "eb7d5e71716f6e3eec281da7d5c1d987238be8b2", "4f0b641860d90dfa4c185670bf636149a2b2b717", "40bb090a4e303f11168dce33ed992f51afe02ff7", "d7cbedbee06293e78661335c7dd9059c70143a28", "84c7d3b1d407e0d435a08574a3f82ecacf7841b6", "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "6f2b36cadf3dd1648b709e9b4f4c19ffa1939ed1", "be5b455abd379240460d022a0e246615b0b86c14", "0b4901e6724e533f6d5d2510e1c0199eea898c81", "8a56adc9605a894c513537f1a2c8d9459573c0a8", "b5f2846a506fc417e7da43f6a7679146d99c5e96", "3e0377af0087b9b836bf6d95bc1c7085dfde4897", "062d0813815c2b9864cd9bb4f5a1dc2c580e0d90", "2e927d0a2dc4b69fc03124ad876329b22a61f1b0", "cf92b8fe6c5a55f2fd9e1cb25a6bc77f47375a57", "0831794eddcbac1f601dcb9be9d45531a56dbf7e", "10cb39e93fac194220237f15dae084136fdc6740", "11bb2abe0ca614c15701961428eb2f260e3e2eef", "bd243d77076b3b8fe046bd3dc6e8a02aa9b38d62", "d81451529e64cf0d272d5663dc8473338e011c75", "aef58a54d458ab76f62c9b6de61af4f475e0f616", "ac9ee00414034f340b1c612ef23bbc9ed6d653e0", "06526c52a999fdb0a9fd76e84f9795a69480cecf", "164b0e2a03a5a402f66c497e6c327edf20f8827b", "57eeaceb14a01a2560d0b90d38205e512dcca691", "10df1d4b278da991848fb71b572f687bd189c10e", "34bb11bad04c13efd575224a5b4e58b9249370f3", "372a8bf0ef757c08551d41e40cb7a485527b6cd7", "7f6061c83dc36633911e4d726a497cdc1f31e58a", "4873c78f0cd5a1fad96300e49e196af75800a24e", "bd60560a8e2e97e90a6a26e350f75ba7263966c8", "b5667d087aafcf6b91f3c77aa90cee1ac185f8f1", "944faf7f14f1bead911aeec30cc80c861442b610", "521aa8dcd66428b07728b91722cc8f2b5a73944b", "69a41c98f6b71764913145dbc2bb4643c9bc4b0a", "07c83f544d0604e6bab5d741b0bf9a3621d133da", "057b80e235b10799d03876ad25465208a4c64caf", "14b66748d7c8f3752dca23991254fca81b6ee86c", "18206e1b988389eaab86ef8c852662accf3c3663", "81ede08b36f3abd423424804da8ff240606b3a5d", "c1173b8d8efb8c2d989ce0e51fe21f6b0b8d1478", "a77e9f0bd205a7733431a6d1028f09f57f9f73b0", "26575ad9e75efb440a7dc4ef8e548eed4e19dbd1", "e5b9269c7499be1bf6d50678c2b06db648dbd283", "12ccfc188de0b40c84d6a427999239c6a379cd66", "2c9f486fcec3c80a41fcecf33b6f4653bac1aaf5", "866f70b2b3d91d15e235712378952d942c9c7478", "b56f3a7c50bfcd113d0ba84e6aa41189e262d7ae", "3557b92c64d17717253a3a6136fc85cf41ee3036", "48db8bf18e2f6f19e07e88384be855c8b7ea0ead", "5de5006d6c02762595e1a186f25fda669b64b61b", "b133b2d7df9b848253b9d75e2ca5c68e21eba008", "050fdbd2e1aa8b1a09ed42b2e5cc24d4fe8c7371", "d9f885dd41c13aa62531dd8bee571079cab8d20d", "052880031be0a760a5b606b2ad3d22f237e8af70", "5695b767369f2d65e8bf4e6303f00b73eeabc6c7", "a9fc8efd1aa3d58f89c0f53f0cb112725b5bda10", "8cdc9bb623bf7e587c8ffb9561aaab9a7e1f0a95", "32b8c9fd4e3f44c371960eb0074b42515f318ee7", "907547b332ec1863f6ebc5298682df65a9dd8225", "fb2cc3501fc89f92f5ee130d66e69854f8a9ddd1", "da092dad9a978f420bff4fb7731d5453ebed1d5e", "72b597578176aba4dcc2fec79196d5071a6d3133", "8e9b92a805d1ce0bf4e0c04133d26e28db036e6a", "c6241e6fc94192df2380d178c4c96cf071e7a3ac", "016800413ebd1a87730a5cf828e197f43a08f4b3", "e667250b0407b262e9d15929c86b6da347f9cdc9", "7306d42ca158d40436cc5167e651d7ebfa6b89c1", "2a14b6d9f688714dc60876816c4b7cf763c029a9", "9e8382aa1de8f2012fd013d3b39838c6dad8fb4d", "f6fc112ff7e4746b040c13f28700a9c47992045e", "af55a25cdd3a2c138e755d5206b35457c1f5760b", "6d3b00381c619912337c60897307322ba4edff3b", "acd26d5b85e979d73101ac790bfdedf17bfe8ed1", "68d08ed9470d973a54ef7806318d8894d87ba610", "be5276e9744c4445fe5b12b785650e8f173f56ff", "f38813f1c9dac44dcb992ebe51c5ede66fd0f491", "a2065ec87fd8a917bf0962e77417ace62e6cc6d9", "a3f684930c5c45fcb56a2b407d26b63879120cbf", "d93baa5ecf3e1196b34494a79df0a1933fd2b4ec", "07edbcc0acd09abd81d0353cdb48d137ce498f24", "4a2062ba576ca9e9a73b6aa6e8aac07f4d9344b9", "4e6c9be0b646d60390fe3f72ce5aeb0136222a10", "3beb6b76acb0485d28e8e02f7cfbcc407560708e", "e2888084b375163f7c956adff102fdbc9fe7fb40", "8bbbe65f6b4a01152b467a1376dfcf9203690013", "057d5f66a873ec80f8ae2603f937b671030035e6", "33f2b44742cc828347ccc5ec488200c25838b664", "4fd29e5f4b7186e349ba34ea30738af7860cf21f", "a27735e4cbb108db4a52ef9033e3a19f4dc0e5fa", "07c3904c8c36bef110ab6fdf00129637fae35349", "ad4d1ecf5c5473c050e11f6876ce148de1c8920a", "782a05fbe30269ff8ab427109f5c4d0a577e5284", "cdf53f506338b6282cd0032761193d3158f5e430", "9c065dfb26ce280610a492c887b7f6beccf27319", "c7713be03c08e62d9a5c2f3be937a69c7ac4441e", "ab0981d1da654f37620ca39c6b42de21d7eb58eb", "17a8d1b1b4c23a630b051f35e47663fc04dcf043", "4d1f77d9418a212c61a3c75c04a5b3884f6441ba", "fe82d072a8d13cfefcd575db893f3374251f04a8", "35308a3fd49d4f33bdbd35fefee39e39fe6b30b7", "7c2c9b083817f7a779d819afee383599d2e97ed8", "fd33df02f970055d74fbe69b05d1a7a1b9b2219b", "bbe1332b4d83986542f5db359aee1fd9b9ba9967", "c36f3cabeddce0263c944e9fe4afd510b5bae816", "10af69f11301679b6fbb23855bf10f6af1f3d2e6", "81d232e1f432db7de67baf4f30f240c62d1a9055", "b449a9362a8dc7b8b1bdaa032a73577e2720ccb0", "a3c8c7da177cd08978b2ad613c1d5cb89e0de741", "c3a7262f681fe5c0c4afba73a37b52a7d8b2d8db", "24e07578dd0c2e224aa209b83fe1c21b635451dd", "7fc5b6130e9d474dfb49d9612b6aa0297d481c8e", "e353923ae4a3289c39a1e80deed826ac4b30f77d", "982ede05154c1afdcf6fc623ba45186a34f4b9f2", "9abd35b37a49ee1295e8197aac59bde802a934f3", "16c2eb10de8b2bf0f2f8304c8a365a5c7f8b7a2b", "662a9f41095196df82bf9df4249ec779cab5b216", "35e6f6e5f4f780508e5f58e87f9efe2b07d8a864", "7e27d946d23229220bcb6672aacab88e09516d39", "baa1ae74fbf7ed6204f2f6364d51375ff81aabc1", "2098983dd521e78746b3b3fa35a22eb2fa630299", "af369310aa73e9ff10518bdbf37afe17754687b7", "2766379db5d9907766dab034a52867d7394a265e", "217aa3aa0b3d9f6f394b5d26f03418187d775596", "c90427085909029afd2af01d1967e80b78e01b88", "e34cb2d2f9f6ccf63de5a838ce5218e0b817469b", "b9f2a755940353549e55690437eb7e13ea226bbf", "d1881993c446ea693bbf7f7d6e750798bf958900", "6881000e95bb145aec802b1f17cf02912507c0bd", "e0ab926cd48a47a8c7b16e27583421141f71f6df", "2f69e9964f3b6bdc0d18749b48bb6b44a4171c64", "7d7b036ed01765c9473d695f029142128d442aaa", "ae8d5be3caea59a21221f02ef04d49a86cb80191", "3bd50e33220af76ffc32a7e57688e248843b7f25", "ebde9b9c714ed326157f41add8c781f826c1d864", "4fc936102e2b5247473ea2dd94c514e320375abb", "63213d080a43660ac59ea12e3c35e6953f6d7ce8", "594217139575015e953b8b6c2616c0a196854d70", "062d67af7677db086ef35186dc936b4511f155d7", "5fac62a3de11125fc363877ba347122529b5aa50", "c02847a04a99a5a6e784ab580907278ee3c12653", "b3b532e8ea6304446b1623e83b0b9a96968f926c", "32799cee51933ac4e1999358bad64817985826d7", "cc6d3ccc9e3dd0a43313a714316c8783cd879572", "2926ceef49f66f00a43b681878d209af87a1382f", "6bb630dfa797168e6627d972560c3d438f71ea99", "863ad2838b9b90d4461995f498a39bcd2fb87c73", "89d7aa10ad97251089d0204916f784f137f3a1ec", "af13aae576f4d9ecc3de73a9ef8ff4396d057b8c", "03c48d8376990cff9f541d542ef834728a2fcda2", "9c686b318cb7774b6da5e2c712743a5a6cafa423", "9e5690cdb4dfa30d98dff653be459e1c270cde7f", "4abd49538d04ea5c7e6d31701b57ea17bc349412", "dc974c31201b6da32f48ef81ae5a9042512705fe", "3dce3bb30f0c19121a71e0bfe1d418f855cb13ce", "1f59e0818e7b16c0d39dd08eb90533ea0ae0be5e", "bd9157331104a0708aa4f8ae79b7651a5be797c6", "1770c29a17aa69acbf3e39dffc3f1e9fe6fb2b3c", "adb648d08b9c75a99eba5091fa9618f3725713b8", "8bf647fed40bdc9e35560021636dfb892a46720e", "182b627d73de02764498c500aa7fb56cbeb1a424", "1c41965c5e1f97b1504c1bdde8037b5e0417da5e", "ac360c948a81738b892869fafe950e05cf477618", "24932a3c9e29877443da9b6bd1ab10f38f59758f", "29f0a868644462aa7ebc21f4510d4209932a1b8c", "34ec83c8ff214128e7a4a4763059eebac59268a6", "211c42a567e02987a6f89b89527de3bf4d2e9f90", "f8e10b9a85ac0785e1230124b1dd36987293170b", "6fef65bd7287b57f0c3b36bf8e6bc987fd161b7d", "34c8de02a5064e27760d33b861b7e47161592e65", "98fd92d68a143a5ced4a016fa3b7addd6b4a0122", "5003754070f3a87ab94a2abb077c899fcaf936a6", "ed9b230a1629049656c62bf4434d1212faeacc1f", "7b74b65983ae0abb09a540b6413a5a36b2df027a", "1eb1fdc5c933d2483ba1acbfa8c457fae87e71e5", "6144728018865691618dd340f3bad17dfc06d720", "5c5c710f4ad73c4e015afefe6a2a5f131ccfd82d", "5f7094ba898a248e1e6b37e3d9fb795e59131cdc", "a8ebb1ae213a0e8f3cea9ee97b4b5f1405d82e97", "2a41388040141ef6b016c100ef833a2a73ab8b42", "a4a5ad6f1cc489427ac1021da7d7b70fa9a770f2", "dd8e8f08ddbcf4a8ca28808a712f83a72850c26d", "cd22e6532211f679ba6057d15a801ba448b9915c", "1be0ce87bb5ba35fa2b45506ad997deef6d6a0a8", "d8c9bad8d07ae4196027dfb8343b9d9aefb130ff", "db1f48a7e11174d4a724a4edb3a0f1571d649670", "04b4c779b43b830220bf938223f685d1057368e9", "d794ffece3533567d838f1bd7f442afee13148fd", "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "6a17ef4a9cd6b09b7835a87e095694db4f3d3daf", "89498817a49d9c349ec9f67375023ead0411b865", "041af4546b48b0867a4f7242a708753a3b29a8a1", "6a02a6ce130ad3d6c78a5f573fd7badca41c7227", "89bc311df99ad0127383a9149d1684dfd8a5aa34", "abc1ef570bb2d7ea92cbe69e101eefa9a53e1d72", "769461ff717d987482b28b32b1e2a6e46570e3ff", "71a1fed654e1de9857d8b0d1c78c4024e60457bc", "53da7e4e193b334ce3891a55c61593a9fe479e19", "c535d4d61aa0f1d8aadb4082bdcc19f4cbdf0eaf", "81a142c751bf0b23315fb6717bc467aa4fdfbc92", "9f135d68bd3518ae06a45489ca5c50454776455e", "24aac045f1e1a4c13a58eab4c7618dccd4c0e671", "44f23600671473c3ddb65a308ca97657bc92e527", "6fea198a41d2f6f73e47f056692f365c8e6b04ce", "2601b679fdd637f3cd978753ae2f15e8759dd267", "77fb9e36196d7bb2b505340b6b94ba552a58b01b", "dc785007d600f69d1d50bed5481217e9842efcf2", "6d5125c9407c7762620eeea7570af1a8ee7d76f3", "89c3050522a0bb9820c32dc7444e003ef0d3e2e4", "67ae7ee9557cb486d5e1129b9b24466ffb8c4766", "cb6bdc66a0a7d405b3403e8a4c3117f8deafa7fb", "7ffd9e745e58f9dc876af7f68e9ef5b9d56d6461", "69f7045d901dab5e949948a16beb89a4b0b38c15", "bf77949b099348d8adffb14d5290b1db3fb0d2e0", "9626bcb3fc7c7df2c5a423ae8d0a046b2f69180c", "30b103d59f8460d80bb9eac0aa09aaa56c98494f", "be068ce0d5284dbd2c4c8ba4a31a41da2f794193", "b7c2227258ce57f46b761b3e2a1e89dc86c2ce89", "bcf19b964e7d1134d00332cf1acf1ee6184aff00", "05c5134125a333855e8d25500bf97a31496c9b3f", "88fd4d1d0f4014f2b2e343c83d8c7e46d198cc79", "1ca155a4b65ae19ccb73df48516e4775770a382c", "f8dfcbb111b1e739dbef580a87b63ebc6a76b7bc", "c5935b92bd23fd25cae20222c7c2abc9f4caa770", "d141c31e3f261d7d5214f07886c1a29ac734d6fc", "574ad7ef015995efb7338829a021776bf9daaa08", "6318d3842b36362bb45527b717e1a45ae46151d5", "5925a25dfe107c49c636eccb8f9fd1aeef7b438c", "c37a971f7a57f7345fdc479fa329d9b425ee02be", "4adb97b096b700af9a58d00e45a2f980136fcbb5", "392d35bb359a3b61cca1360272a65690a97a2b3f", "58eb9174211d58af76023ce33ee05769de57236c", "a6e25cab2251a8ded43c44b28a87f4c62e3a548a", "00f7f7b72a92939c36e2ef9be97397d8796ee07c", "95f1790da3d0a4a5310a050512ce355b3c5aac86", "6d69e5b03389da90fcc89b832a564f62ecbc54ff", "20a0b23741824a17c577376fdd0cf40101af5880", "7f52b5bbc2678d3bebef7e00e281d5ccdbac9f4b", "3a96a6a08b9a494e71450cd18d0b741135233eb2", "05a7be10fa9af8fb33ae2b5b72d108415519a698", "211b35befe51baf018e971d53d3c35cacbe6ad3e", "2c3430e0cbe6c8d7be3316a88a5c13a50e90021d", "85fb0d6cc991cf49ebc4f506b5edd44214979f65", "104ee18b513b52386f871e959c1f9e5072604e93", "96f0da034d090a3ecadd0fb92333bb681f23ab14", "e8b3a257a0a44d2859862cdec91c8841dc69144d", "eb973a103b1244238eb07ff805e24a66c4a971d0", "085b5f9fd49432edab29e2c64f2a427fbce97f67", "f0f854f8cfe826fd08385c0c3c8097488f468076", "f00925f8c8acc5450b5482a12753653cfeaeb268", "2bb53e66aa9417b6560e588b6235e7b8ebbc294c", "def65f74de66e37d3c2977d2322813a6f9b163b0", "4e0e49c280acbff8ae394b2443fcff1afb9bdce6", "df9269657505fcdc1e10cf45bbb8e325678a40f5", "c97774191be232678a45d343a25fcc0c96c065e7", "081d6ac51bbb7df142e3db6649fb5d663e90d569", "3b408a3ca6fb39b0fda4d77e6a9679003b2dc9ab", "bc8e11b8cdf0cfbedde798a53a0318e8d6f67e17", "f1ef5156eccee6c845bb9f0a99a3943218e145a3", "61e2044184d86d0f13e50ecaa3da6a4913088c76", "819d1dcea397e6e671acf74adccdef5750550873", "ea9e5fcdac51328a99e88f14b194abb933bd81b3", "f9fff8a34942053fd93760c8c84a40849b9db734", "eacba5e8fbafb1302866c0860fc260a2bdfff232", "a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531", "e25c57a6395b7c8861088699eef1a56b6f1d70ad", "e19ebad4739d59f999d192bac7d596b20b887f78", "fe8a8c4133698e4b68018d99c6a2bcec870c5464", "bff567c58db554858c7f39870cff7c306523dfee", "9d530c341b3eda84c0b0a2c3149232daf16056f4", "1fe1bd6b760e3059fff73d53a57ce3a6079adea1", "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "7f9b192dad9f85289016c8a089d2a6a65ed1224a", "82007bd70d83869fdbe39c03bda0b4459991fda7", "24eeb748a5e431510381ec7c8253bcb70eff8526", "ecf589ab160976d283d751a8dc407b6cdaff67b0", "695426275dee2ec56bc0c0afe1c5b4227a350840", "8878871ec2763f912102eeaff4b5a2febfc22fbe", "7f511a6a2b38a26f077a5aec4baf5dffc981d881", "3f0e0739677eb53a9d16feafc2d9a881b9677b63", "247ee3e4519381a84fdfe655223c270c4ef1ad75", "9c23acb6e9b76dd9b4bdacf4974b42e8c45f5260", "dc95fb644c12ee9caa989390af29c969b4c1d646", "16eaa26a84468b27e559215db01c53286808ec2a", "8de174e1e050e0037d1d51fa35d43b2bfcd7dc2e", "53698b91709112e5bb71eeeae94607db2aefc57c", "5dd146912c2b2a313cea50acdcca3b4b54479142", "4bbbee93519a4254736167b31be69ee1e537f942", "c15b68986ecfa1e13e3791686ae9024f66983f14", "758d1c17569eea2a698cac31b2d9d2a772c84322", "78b457f8b1ba4fbd1c50c32ec1f02f4f58764ad7", "ef3043a7f5e2900c7dc0d8fc90f8380278cb15c5", "a6b5ca99432c23392cec682aebb8295c0283728b", "d56c5f0a23ecef2eeaad1b882829d709fa172632", "00d4c2db10f3a32d505d7b8adc7179e421443dec", "e4d7b8eb0a8e6d2bb5b90b027c1bf32bad320ba5", "f42dca4a4426e5873a981712102aa961be34539a", "b181ae8ed315ceb8f03332ba02ef0849adbe5b4c", "fffa2943808509fdbd2fc817cc5366752e57664a", "edd7504be47ebc28b0d608502ca78c0aea6a65a2", "27c66b87e0fbb39f68ddb783d11b5b7e807c76e8", "4cc681239c8fda3fb04ba7ac6a1b9d85b68af31d", "19824fa8bc5522f758b5c9f433fe73da9e02268b", "b5322d96c301ef4042a0a3af8512b2cd87f8fe39", "49be50efc87c5df7a42905e58b092729ea04c2f5", "c843f591658ca9dbb77944a89372a92006defe68", "8820d1d3fa73cde623662d92ecf2e3faf1e3f328", "d45f7abeca184533ee0f0670c4946bcd34edda81", "c6c086748474dcda06d773891848aa1472de3560", "815aa52cfc02961d82415f080384594639a21984", "c1fc70e0952f6a7587b84bf3366d2e57fc572fd7", "1977c3aea64b7dcb8750e59edaa20b1ccce83464", "40dd736c803720890d6bfc1e083f6050e35d8f7a", "1f05473c587e2a3b587f51eb808695a1c10bc153", "b6d977251b551471f5dddfb0a2e8f9c542e684d2", "deaec57538ae555282a66ad632247a657a00e29f", "2f1485994ef2c09a7bb2874eb8252be8fe710db1", "bf2eb77e9b795a4a0a38ed4b1c8dd4b2c9a74317", "06f39834e870278243dda826658319be2d5d8ded", "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "3266fcd1886e8ad883714e38203e66c0c6487f7b", "ba29ba8ec180690fca702ad5d516c3e43a7f0bb8", "dfa80e52b0489bc2585339ad3351626dee1a8395", "beb2f1a6f3f781443580ffec9161d9ce6852bf48", "31625522950e82ad4dffef7ed0df00fdd2401436", "2cde051e04569496fb525d7f1b1e5ce6364c8b21", "b191aa2c5b8ece06c221c3a4a0914e8157a16129", "089513ca240c6d672c79a46fa94a92cde28bd567", "1130c38e88108cf68b92ecc61a9fc5aeee8557c9", "73598ca47948fa18e051ce5173d7556e0f485489", "44384fb1f20cea528f32c1c14c5a8400b65c1804", "42517e072406ea6f8d2c579d98ee3f9918a8a1d3", "eb100638ed73b82e1cce8475bb8e180cb22a09a2", "4c6daffd092d02574efbf746d086e6dc0d3b1e91", "22dada4a7ba85625824489375184ba1c3f7f0c8f", "353480b21d5745590db5f70b016a27e25f5b9aec", "ac0d3f6ed5c42b7fc6d7c9e1a9bb80392742ad5e", "f2abaa1476fe1f00358f3eaa77dde2f348f58982", "7edf213eb3754f9da150cd6f1a4c0ad2e2c416fb", "24115d209e0733e319e39badc5411bbfd82c5133", "e624c73e3057a1de75e9d6d7e813771154ff1375", "60c699b9ec71f7dcbc06fa4fd98eeb08e915eb09", "0d8d0ce66eb661fbf12a04130dd7d51454f1f196", "3d5a1be4c1595b4805a35414dfb55716e3bf80d8", "263ed62f94ea615c747c00ebbb4008385285b33b", "d691440030394c2e00a2ab47aba4f8b5fca5f25a", "51275703f9a27e9e94e90440360de98c113e809f", "b3200539538eca54a85223bf0ec4f3ed132d0493", "279459cbbc5c6db4802e9c737cc72a612d76f7fc", "d833c48334e906537f21757b6f9fa44da66f6c76", "ec6a2093059fd6eada9944212f64a659881abb95", "0a82860d11fcbf12628724333f1e7ada8f3cd255", "197efbef17f92e5cb5076961b6cd9f59e88ffd9a", "1cca57d2532a4085fb357c10237bdded69541310", "3174fceef3cf09ac35e8d1eb4e1b8b73a3b2c713", "eee2d2ac461f46734c8e674ae14ed87bbc8d45c6", "ee15b67b606ff49cd17467b062c11441e3b2dd70", "1a167e10fe57f6d6eff0bb9e45c94924d9347a3e", "63f2d1a64737afa1608588b9651b1e4207e82d1c", "a92adfdd8996ab2bd7cdc910ea1d3db03c66d34f", "55c68c1237166679d2cb65f266f496d1ecd4bec6", "2c51069d03974bd28dd821142a852ec24ce7546a", "fe4aa088362d371daf15ccf9290291c8867e4f23", "6ff497677f27d3e45e4633550c1a0e5243b8fa3b", "c8ab4fbcf1f32bc9a9f7d7957704853fed60b2bc", "b0526f25acba719a4e85f54ab1f164292f7c0f13", "a6e21438695dbc3a184d33b6cf5064ddf655a9ba", "3fa738ab3c79eacdbfafa4c9950ef74f115a3d84", "0145dc4505041bf39efa70ea6d95cf392cfe7f19", "d5d5cc27ca519d1300e77e3c1a535a089f52f646", "4534d78f8beb8aad409f7bfcd857ec7f19247715", "155199d7f10218e29ddaee36ebe611c95cae68c4", "1491b98d8e9ccca13bec883f94d935d2dff24053", "bc36badb6606b8162d821a227dda09a94aac537f", "558fc9a2bce3d3993a9c1f41b6c7f290cefcf92f", "2980bea598e2208b08e0996a114400415785debd", "8ad12d3ee186403b856639b58d7797aa4b89a6c7", "0d467adaf936b112f570970c5210bdb3c626a717", "b03446a2de01126e6a06eb5d526df277fa36099f", "3150e329e01be31ba08b6d76fc46b0da88a5ddeb", "407de9da58871cae7a6ded2f3a6162b9dc371f38", "a000149e83b09d17e18ed9184155be140ae1266e", "e793f8644c94b81b7a0f89395937a7f8ad428a89", "b5c749f98710c19b6c41062c60fb605e1ef4312a", "7b8e9c50f74ce6ca66a8ab61fb18ca31d26cf13f", "090873e83594fc7396fb81b64f4ec38a05151304", "2b1327a51412646fcf96aa16329f6f74b42aba89", "709d7f6b86c01fe90f10ae9216a91f95b1dcd2fb", "959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c", "5f6ab4543cc38f23d0339e3037a952df7bcf696b", "3c56acaa819f4e2263638b67cea1ec37a226691d", "107fc60a6c7d58a6e2d8572ad8c19cc321a9ef53", "79fc892abaf44a84a758268efd4d1b9e6b64ecf5", "9e65e03be8b63ab0675c37d7c38e7a678cb26c1d", "12408baf69419409d228d96c6f88b6bcde303505", "edf60d081ffdfa80243217a50a411ab5407c961d", "c83e26622b275fdf878135e71c23325a31d0e5fc", "14b69626b64106bff20e17cf8681790254d1e81c", "89b0608fc3bf63b4fafd6ad42529067220d901af", "33402ee078a61c7d019b1543bb11cc127c2462d2", "2525f336af31178b836e27f8c60056e18f1455d2", "61f0718163a622f0431692f81b539e5a6f9b944d", "b5cd9e5d81d14868f1a86ca4f3fab079f63a366d", "f6abecc1f48f6ec6eede4143af33cc936f14d0d0", "98127346920bdce9773aba6a2ffc8590b9558a4a", "5406fd98aa22bc2a0c1a8bc2a58ca3eb7a91155d", "dbaf89ca98dda2c99157c46abd136ace5bdc33b3", "6261eb75066f779e75b02209fbd3d0f02d3e1e45", "e0793fd343aa63b5f366c8ace61b9c5489c51a4d", "c88e1ed0bd67a25c5c81d70de62e53e99876dd93", "473366f025c4a6e0783e6174ca914f9cb328fe70", "4b1682da96af72ce0ddaa9384ce294611807a8b3", "95d858b39227edeaf75b7fad71f3dc081e415d16", "e6b534d8838f92461a478a3e737b73e08db94748", "a0c37f07710184597befaa7e6cf2f0893ff440e9", "4f2713b128de5d1dc0e9f6a555ee7b94adb1b181", "c3e94bffaa786b099a37d58e64e8dc870c7526b9", "c61eaf172820fcafaabf39005bd4536f0c45f995", "473031328c58b7461753e81251379331467f7a69", "94806f0967931d376d1729c29702f3d3bb70167c", "ba29f13648ca6600de02765ad83c0d0a9f71d610", "a9f652787e5669168c7b8f632c3a343dfbaa6f4b", "de15f111baace7f6ec49c44ca7d34fcec15b7cfa", "ef7b8f73e95faa7a747e0b04363fced0a38d33b0", "7056f8bbc6796ea3c5af9c93a033eb442c5959db", "1e94cc91c5293c8fc89204d4b881552e5b2ce672", "08410196627dfd16371d781a64e98573c54d07a4", "1ea74780d529a458123a08250d8fa6ef1da47a25", "f0f4f16d5b5f9efe304369120651fa688a03d495", "aa581b481d400982a7e2a88830a33ec42ad0414f", "10d7a0a51cf531e599047bc7d6cb0715011c2675", "9758f3fd94239a8d974217fe12599f88fb413f3d", "9d58e8ab656772d2c8a99a9fb876d5611fe2fe20", "1c30bb689a40a895bd089e55e0cad746e343d1e2", "05e3acc8afabc86109d8da4594f3c059cf5d561f", "c0ca6b992cbe46ea3003f4e9b48f4ef57e5fb774", "283181a2173b485726664edc6fe73f0465387629", "651acadf8be02a8e3afea3c3d17e0637864fd91e", "e6c491fb6a57c9a7c2d71522a1a066be2e681c84", "5feb1341a49dd7a597f4195004fe9b59f67e6707", "398e0771e64cab6ca5d21754e32dce63f9e3c223", "79a78ba93f3d4d7dc30eb6f943a2d2ac7cabb048", "170a5f5da9ac9187f1c88f21a88d35db38b4111a", "7b0fe0bc433d894299e249d97ed894671c3748b1", "3fd092b96c3339507732263c9e6379b307c26073", "009a18d04a5e3ec23f8ffcfc940402fd8ec9488f", "2063222c5ce0dd233fa3056ddc245fca26bd5cf2", "70c58700eb89368e66a8f0d3fc54f32f69d423e1", "1384a83e557b96883a6bffdb8433517ec52d0bea", "70c9d11cad12dc1692a4507a97f50311f1689dbf", "15ef449ac443c494ceeea8a9c425043f4079522e", "8f27df2d4fb7dd7ed5587640dcbe4dc1eb37acfb", "f2a7f9bd040aa8ea87672d38606a84c31163e171", "ac4cd0cb132e34dc20a25c2fe14edd84dbf27ad3", "6de18708218988b0558f6c2f27050bb4659155e4", "19994e667d908bc0aacfb663ab0a2bb5ad16b221", "8b744786137cf6be766778344d9f13abf4ec0683", "714cd75fe3557b4cbce4b7d5335d06af0fa99689", "d48bd355d091e7ae75ade4e878fe346741e7da1a", "663eb30b98e84d67a7468b6a6a996fcca600bf0a", "1dc241ee162db246882f366644171c11f7aed96d", "b08203fca1af7b95fda8aa3d29dcacd182375385", "85c90ad5eebb637f048841ebfded05942bb786b7", "e52f73c77c7eaece6f2d8fdd0f15327f9f007261", "90bec6f106f6d8d60cd939d594568bfc0f1393d9", "1b635f494eff2e5501607ebe55eda7bdfa8263b8", "96ce111119624888be47d998cf87c9df18988c4d", "098fa9b4c3f7fb41c7a178d36f5dbb50a3ffa377", "51cb09ee04831b95ae02e1bee9b451f8ac4526e3", "d4ebf0a4f48275ecd8dbc2840b2a31cc07bd676d", "6dd2a0f9ca8a5fee12edec1485c0699770b4cfdf", "fe4dbea7d530c21c77137f52fed28c9b0947172b", "ed388878151a3b841f95a62c42382e634d4ab82e", "6eee0fd08e8b33bf2affb355a6ecd3523860aa11", "551fa37e8d6d03b89d195a5c00c74cc52ff1c67a", "1fa426496ed6bcd0c0b17b8b935a14c84a7ee1c2", "6ae72dc774f62b190036fb094be4558d827e53d2", "d961617db4e95382ba869a7603006edc4d66ac3b", "94d67304c6c0d23c7dfcf008cbf799b54b8d20b9", "ddd9d7cb809589b701fba9f326d7cf998a63b14f", "cbb8ccb289e3b9d39481081ef8dc1c80039659d5", "58b3669cd4eed088f9a6b398aee583c5c3d8036f", "5b5599b3387840d41e536771886ce55320a7f8ea", "35f57dfe596a19c1ae3393cbb088769d6f517684", "8f3675e979629ca9cee9436d37763f546edb8d40", "ef8de1bd92e9ee9d0d2dee73095d4d348dc54a98", "2bcec23ac1486f4106a3aa588b6589e9299aba70", "22f94c43dd8b203f073f782d91e701108909690b", "ad58b92ebc45e71e40ce68d4375441267549b054", "7142ac9e4d5498037aeb0f459f278fd28dae8048", "3634b4dd263c0f330245c086ce646c9bb748cd6b", "7fe2ab9f54242ef8609ef9bf988f008c7d42407c", "0329d9be8ab1e3a1d5e4b9e7db5af5bbcc64e36f", "59478365451b82f5227bc4b694a2ff319025cc33", "7e467e686f9468b826133275484e0a1ec0f5bde6", "4fa0d73b8ba114578744c2ebaf610d2ca9694f45", "19841b721bfe31899e238982a22257287b9be66a", "997b9ffe2f752ba84a66730cfd320d040e7ba2e2", "62fddae74c553ac9e34f511a2957b1614eb4f937", "64dac451ccb1b998f4dff1d35ccdd3936ea49e33", "51c8cf240c0d2660988773153371d8ce029a8e08", "cec8936d97dea2fcf04f175d3facaaeb65e574bf", "195df1106f4d7aff0e9cb609358abbf80f54a716", "1ebdfceebad642299e573a8995bc5ed1fad173e3", "f22d6d59e413ee255e5e0f2104f1e03be1a6722e", "ddfae3a96bd341109d75cedeaebb5ed2362b903f", "024d037d46ae933c7e12fd16af61953c7161773a", "30b74e60ec11c0ebc4e640637d56d85872dd17ce", "10a1dcbe52547146fa4735274e8c89ae01e70a55", "2d9e58ea582e054e9d690afca8b6a554c3687ce6", "686970efdcef5d11a4d2b1f5d77d5515d766f53a", "1bad8a9640cdbc4fe7de12685651f44c4cff35ce", "c829be73584966e3162f7ccae72d9284a2ebf358", "5ac946fc6543a445dd1ee6d5d35afd3783a31353", "738c187d55745aac18d5fb5f6cc9e3568cd2d217", "4c822785c29ceaf67a0de9c699716c94fefbd37d", "5de5848dc3fc35e40420ffec70a407e4770e3a8d", "6009bba115904bc3bf876224db90b232c4f0a48f", "533d14e539ae5cdca0ece392487a2b19106d468a", "02cc96ad997102b7c55e177ac876db3b91b4e72c", "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "cee66bd89d1e25355e78573220adcd017a2d97d8", "db848c3c32464d12da33b2f4c3a29fe293fc35d1", "167736556bea7fd57cfabc692ec4ae40c445f144", "374a0df2aa63b26737ee89b6c7df01e59b4d8531", "e8a150b743d487e9dbf6e023b0928f03b2c39aef", "6114916d2bd874ba15653168a207df6c55c11efd", "0247998a1c045e601dc4d65c53282b5e655be62b", "2288696b6558b7397bdebe3aed77bedec7b9c0a9", "d63bd06340dd35590a22222509e455c49165ee13", "7c42798c307c67ca8b80f51d99e8f79764c0aaed", "f19bf8b5c1860cd81b5339804d5db9e791085aa7", "ca37eda56b9ee53610c66951ee7ca66a35d0a846", "8befcd91c24038e5c26df0238d26e2311b21719a", "a93781e6db8c03668f277676d901905ef44ae49f", "2e5b160892b70a1e846aa9dcdf132b8011937ec6", "274959f26d04848f71a355c09500fd7ebc271d69", "371ab565b512a5ef9133831c8b7b04fb5b1905c4", "4fcd19b0cc386215b8bd0c466e42934e5baaa4b7", "a5f11c132eaab258a7cea2d681875af09cddba65", "4890a0810a666aba67864deb03c1661b477d4d83", "78df7d3fdd5c32f037fb5cc2a7c104ac1743d74e", "1bbec7190ac3ba34ca91d28f145e356a11418b67", "0cccf576050f493c8b8fec9ee0238277c0cfd69a", "bc3e1420b468bafc8edd8f2da665a8613fc2912c", "b1d2001e877bb36c8ccc97bee62d9824a3b8874d", "86ed5b9121c02bcf26900913f2b5ea58ba23508f", "5c7adde982efb24c3786fa2d1f65f40a64e2afbf", "a4d4f52f922b3f28251ae03abcca8c0a369694fd", "e3ce4c3e1279e3dc0c14ff3bb2920aced9e62638", "563143c5f4fed0184c1f3e661917da94cfed1d46", "65bba9fba03e420c96ec432a2a82521ddd848c09", "55995e4ac050563d10cbcdc07a79b729ccd1b25b", "1576ed0f3926c6ce65e0ca770475bca6adcfdbb4", "94498fae459167841e8b2f4b911493fc3c7da22f", "83cefc1a9cd1dd85cf9233016cf269beb6b7cd85", "3c09fb7fe1886072670e0c4dd632d052102a3733", "09926ed62511c340f4540b5bc53cf2480e8063f8", "faca1c97ac2df9d972c0766a296efcf101aaf969", "3d708e4ecabc50d3f3e387a21a73f6ae2b52ddfc", "dcea30602c4e0b7525a1bf4088620128d4cbb800", "b0de0892d2092c8c70aa22500fed31aa7eb4dd3f", "df87ede3627bcf682adca13dacd45d4e6941f983", "d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9", "fef6f1e04fa64f2f26ac9f01cd143dd19e549790", "4467a1ae8ddf0bc0e970c18a0cdd67eb83c8fd6f", "38f61e422ef75df4b96fb6081ce866556b6b854f", "91bf1aab212d9a51be89736a69ab82aa62f5bb01", "115b16e1d73e0bed2cd5d22b1a83c030db885393", "673541a8cb1aa3ac63a288523ba71aec2a38280e", "8cc4a4bc7f9a989130d5ac129d24426a444fe161", "cfcfe036b2026fbe8761888e43858c61a418331f", "a9506c60ec48056087ee3e10d28ff7774fbbd553", "631483c15641c3652377f66c8380ff684f3e365c", "c4b58ceafdf4cf55586b036b9eb4d6d3d9ecd9c4", "e0d878cc095eaae220ad1f681b33d7d61eb5e425", "2c258eec8e4da9e65018f116b237f7e2e0b2ad17", "b5979489e11edd76607c219a8bdc83ba4a88ab38", "40ff3276e62f03fe216d8592d2fc994d8eead010", "7e2f7c0eeaeb47b163a7258665324643669919e8", "17a995680482183f3463d2e01dd4c113ebb31608", "ce450e4849490924488664b44769b4ca57f1bc1a", "f0611827752eb1493f57c0aff38f15e950da2a74", "045e83272db5e92aa4dc8bdfee908534c2608711", "3bcd72be6fbc1a11492df3d36f6d51696fd6bdad", "27b06d8d09b0190f44597214627f0e8c65031ad9", "b7c6df1ae0e8348feecd65e9ad574d1e04d212a5", "66837b29270f3e03df64941a081d70c687c7955c", "7b43326477795a772c08aee750d3e433f00f20be", "025720574ef67672c44ba9e7065a83a5d6075c36", "dfc784c860795f4f9aa704b7655f6d1321018980", "cba090a5bfae7dd8a60a973259f0870ed68c4dd3", "7dffe7498c67e9451db2d04bb8408f376ae86992", "de048065ea2c5b3e306e2c963533df055e7dfcaa", "ac820d67b313c38b9add05abef8891426edd5afb", "f27e5a13c1c424504b63a9084c50f491c1b17978", "f92d3abfb16e491a52b2d89549396d023562285a", "e39db6a72f533b5adb2ecd9feaadbbab8204e024", "2f7fc778e3dec2300b4081ba2a1e52f669094fcd", "49a038852b9e51af658405231045559d728e0970", "d915e634aec40d7ee00cbea96d735d3e69602f1a", "0b2966101fa617b90510e145ed52226e79351072", "f39b7b7af204e9c769653c574284508fc027ce31", "506ea19145838a035e7dba535519fb40a3a0018c", "ed0d8997a4b7b80a7cd3592e98bdbe5c3aab0cee", "73ed64803d6f2c49f01cffef8e6be8fc9b5273b8", "35cbb64d46dfa3e74aea367a173dcb94cb6125c4", "c2dc29e0db76122dfed075c3b9ee48503b027809", "f557df59cd088ffb8e27506d8612d062407e96f4", "11c67d6fedc3dd95b752ade4e46ee143ac494259", "0726a45eb129eed88915aa5a86df2af16a09bcc1", "288db6d3369ddb6aba5d753e0a46ee32e2383bcd", "861a51e66553979535df2b41971150453ab26372", "9f499948121abb47b31ca904030243e924585d5f", "329394480fc5e9e96de4250cc1a2b060c3677c94", "e2faaebd17d10e2919bd69492787e7565546a63f", "2729e12ecb777a553e5ed0a1ac52dd37924e813d", "3b2a2357b12cf0a5c99c8bc06ef7b46e40dd888e", "b6ef158d95042f39765df04373c01546524c9ccd", "2be8e06bc3a4662d0e4f5bcfea45631b8beca4d0", "b56a568799a0dee06587d8ab54032f7bf7712008", "4698ed97f4a78e724c903ec1dd6e5538203237c8", "f5b8894cf0606b991a913b84a2a3e8b43e4c32de", "dc5cde7e4554db012d39fc41ac8580f4f6774045", "76996250596ca0665192daf5d4c8588f75014096", "57c59011614c43f51a509e10717e47505c776389", "f58f30932e3464fc808e539897efa4ee4e7ac59f", "7ad77b6e727795a12fdacd1f328f4f904471233f", "118ca3b2e7c08094e2a50137b1548ada7935e505", "2227f978f084ebb18cb594c0cfaf124b0df6bf95", "03e1480f1de2ffbd85655d68aae63a01685c5862", "416b559402d0f3e2b785074fcee989d44d82b8e5", "1cad5d682393ffbb00fd26231532d36132582bb4", "11f17191bf74c80ad0b16b9f404df6d03f7c8814", "c6dd337e44cae4ac6fbc5c53b27fa8176f417398", "d0d7671c816ed7f37b16be86fa792a1b29ddd79b", "fd7a3e809bc94a07f2604c1ec97d5e11080a993e", "3afd90a0675936e2f747171a1063d8171d987656", "90c4a6c6f790dbcef9a29c9a755458be09e319b6", "694a501468821e0cd0d4d98c85284d60dec58ed9", "30df8c70c11f6945b2b496b87c1923d2673092c6", "63a2e2155193dc2da9764ae7380cdbd044ff2b94", "06f8aa1f436a33014e9883153b93581eea8c5c70", "5615d6045301ecbc5be35e46cab711f676aadf3a", "bdd203bcd3c41c336c5635fb026a78279d75b4be", "df2899462e04559c024a773d91f6e06c262e136b", "41f26101fed63a8d149744264dd5aa79f1928265", "60462b981fda63c5f9d780528a37c46884fe0b54", "013d0acff1e5410fd9f6e15520d16f4ea02f03f6", "8b74252625c91375f55cbdd2e6415e752a281d10", "80135ed7e34ac1dcc7f858f880edc699a920bf53", "6fdf9b9a80a2fa9c04a3966587c29d1dde978097", "b61a3f8b80bbd44f24544dc915f52fd30bbdf485", "22df6b6c87d26f51c0ccf3d4dddad07ce839deb0", "a9756ca629f73dc8f84ee97cfa8b34b8207392dc", "303b832123a0d219e91a3e0bed337d74f68b3fcc", "5394d42fd27b7e14bd875ec71f31fdd2fcc8f923", "20767ca3b932cbc7b8112db21980d7b9b3ea43a3", "baafe3253702955c6904f0b233e661b47aa067e1", "6c1227659878e867a01888eef472dd96b679adb6", "97b5800e144a8df48f1f7e91383b0f37bc37cf60", "f02a6bccdaee14ab55ad94263539f4f33f1b15bb", "fc5bdb98ff97581d7c1e5eb2d24d3f10714aa192", "645de797f936cb19c1b8dba3b862543645510544", "8c501a89092252a9f62f76a6f439916efe626251", "488375ae857a424febed7c0347cc9590989f01f7", "4e5dc3b397484326a4348ccceb88acf309960e86", "503db524b9a99220d430e741c44cd9c91ce1ddf8", "247a8040447b6577aa33648395d95d80441a0cf3", "225fb9181545f8750061c7693661b62d715dc542", "930721b5ae8661fb840ea968582a9722ad9f66d5", "fe6edc8c6e4cff6a2c115648a2135ffd47b04a08", "cfc4aa456d9da1a6fabd7c6ca199332f03e35b29", "beabb0d9d30871d517c5d915cf852f7f5293f52f", "67ba3524e135c1375c74fe53ebb03684754aae56", "e3144f39f473e238374dd4005c8b83e19764ae9e", "062c41dad67bb68fefd9ff0c5c4d296e796004dc", "c4761b47c3f259559740c90bd42ed8442249499d", "1252727e8096f48096ef89483d30c3a74500dd15", "056294ff40584cdce81702b948f88cebd731a93e", "90298f9f80ebe03cb8b158fd724551ad711d4e71", "41aa8c1c90d74f2653ef4b3a2e02ac473af61e47", "ebf204e0a3e137b6c24e271b0d55fa49a6c52b41", "465d5bb11912005f0a4f0569c6524981df18a7de", "ebb9d53668205c5797045ba130df18842e3eadef", "12150d8b51a2158e574e006d4fbdd3f3d01edc93", "90e266add46b06e59f67c486d423e38b95bb1fbb", "267c6e8af71bab68547d17966adfaab3b4711e6b", "264a84f4d27cd4bca94270620907cffcb889075c", "d09d663055b3b6d588bf4de2f386bb144d09aea8", "b03b4d8b4190361ed2de66fcbb6fda0c9a0a7d89", "17027a05c1414c9a06a1c5046899abf382a1142d", "9d4c467adc09fb50c5e799fc124f3e82da8c3c22", "378418fdd28f9022b02857ef7dbab6b0b9a02dbe", "09b0ef3248ff8f1a05b8704a1b4cf64951575be9", "dee6609615b73b10540f32537a242baa3c9fca4d", "b09b693708f412823053508578df289b8403100a", "6343bc0013343b6a5f96154f02d18dcd36a3f74c", "781c2553c4ed2a3147bbf78ad57ef9d0aeb6c7ed", "17035089959a14fe644ab1d3b160586c67327db2", "351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd", "a6b1d79bc334c74cde199e26a7ef4c189e9acd46", "0be49fc1e0c9a6a50e449015945dd1cf92ccd07e", "162403e189d1b8463952fa4f18a291241275c354", "703c9c8f20860a1b1be63e6df1622b2021b003ca", "e9ba4e866862936cc49c4b762afd29367289fe31", "e03e86ac61cfac9148b371d75ce81a55e8b332ca", "3852968082a16db8be19b4cb04fb44820ae823d4", "01c9dc5c677aaa980f92c4680229db482d5860db", "703dc33736939f88625227e38367cfb2a65319fe", "2588acc7a730d864f84d4e1a050070ff873b03d5", "3dcc51a37f2e5e91d77ff00f18178484c4e938cb", "36ab143da8b6f6d49811afaaa7bcbf81c22a210e", "645f09f4bc2e6a13663564ee9032ca16e35fc52d", "1056347fc5e8cd86c875a2747b5f84fd570ba232", "079edd5cf7968ac4759dfe72af2042cf6e990efc", "b5f9d5be7561bb6eacee9012275b17c75696c388", "0fc254272db096a9305c760164520ad9914f4c9e", "6e46d8aa63db3285417c8ebb65340b5045ca106f", "071135dfb342bff884ddb9a4d8af0e70055c22a1", "62f07200058df5b39883b3ed918083f58e7e734b", "6ce6768a34e197e4ef76933c8e6760b6e4833dc4", "ce11b2d7905d2955c4282db5b68482edb846f29f", "38d0dd93755b83b2390815fda926866f7ec624ce", "7577a1ddf9195513a5c976887ad806d1386bb1e9", "861ba11c0de8efc8bca4320f59364080886cfbdb", "080c204edff49bf85b335d3d416c5e734a861151", "69fb98e11df56b5d7ec7d45442af274889e4be52", "2da695c0286e9ba62bf16c6b59f2c4f50ab2df2b", "0290523cabea481e3e147b84dcaab1ef7a914612", "f41d7f891a1fc4569fe2df66e67f277a1adef229", "9077365c9486e54e251dd0b6f6edaeda30ae52b9", "b4d209845e1c67870ef50a7c37abaf3770563f3e", "516d0d9eb08825809e4618ca73a0697137ebabd5", "fd71ae9599e8a51d8a61e31e6faaaf4a23a17d81", "83b54b8c97dc14e302dad191327407ec0d5fb4a6", "18b3a7421dc3e889f2d3031a139e79467e825f98", "554b9478fd285f2317214396e0ccd81309963efd", "ad9c5d86acaa6eb194fff67a4d8ba6e8d8cd495a", "ba816806adad2030e1939450226c8647105e101c", "a4c430b7d849a8f23713dc283794d8c1782198b2", "4f0b8f730273e9f11b2bfad2415485414b96299f", "a6db73f10084ce6a4186363ea9d7475a9a658a11", "ba30cc9d8bac724dafc0aea247159cc7e7105784", "40d62396bb195d510bef5c0fd2bfa2bae6777754", "13f1a38bc8542eb7d9d5d3b13d326fbec1f01783", "73af3cbbabb7a63498944fbb8f9e39b5570aee76", "3e3f305dac4fbb813e60ac778d6929012b4b745a", "5c45c46b9b35685497d5fcdf2d4d748f3d27449a", "e75a589ca27dc4f05c2715b9d54206dee37af266", "3cbd3124b1b4f95fcdf53abd358d7ceec7861dda", "ce3f3088d0c0bf236638014a299a28e492069753", "53a41c711b40e7fe3dc2b12e0790933d9c99a6e0", "15d653972d176963ef0ad2cc582d3b35ca542673", "e412efc9baecddac274639c0a5140aa28446792c", "14070478b8f0d84e5597c3e67c30af91b5c3a917", "9652f154f4ae7807bdaff32d3222cc0c485a6762", "43c3b6a564b284382fdf8ae33f974f4e7a89600e", "d1694200f2fe0676985a8cfe467f9ae010eb3e57", "3cc2d6ace4cf0bc3a6c4df5ca8da892275ca201f", "4c0cc732314ba3ccccd9036e019b1cfc27850c17", "ebabd1f7bc0274fec88a3dabaf115d3e226f198f", "041115cb5509466f7449451709387268a008aba2", "4ee94572ae1d9c090fe81baa7236c7efbe1ca5b4", "d66e13a5e128a4ecad78e0c1c128893684292dec", "c553f0334fcadf43607925733685adef81fbe406", "abf0aa1d8869d87f4ef62e2da058ccfb4bf46d18", "355cea44e2d40409a7a5be72b12511e43d259cb9", "a301ddc419cbd900b301a95b1d9e4bb770afc6a3", "c244c3c797574048d6931b6714ebac64d820dbb3", "060034b59275c13746413ca9c67d6304cba50da6", "0abf67e7bd470d9eb656ea2508beae13ca173198", "427be2984bc0ff3831480c6dd6ae9c59c25603e7", "e0dedb6fc4d370f4399bf7d67e234dc44deb4333", "f7911b9ff58d07d19c68f4a30f40621f63c0f385", "fab04dfcb35a29a46504d2ad3acbc642c602c7e8", "5945464d47549e8dcaec37ad41471aa70001907f", "597d62e665d5b3103b0b62c1c029b8fdc856cd67", "4f298d6d0c8870acdbf94fe473ebf6814681bd1f", "521b625eebea73b5deb171a350e3709a4910eebf", "05bcc5235721fd6a465a63774d28720bacc60858", "69eb86b4501a516b983b6269b7f154e4a8a4d588", "e6f20e7431172c68f7fce0d4595100445a06c117", "2e3b981b9f3751fc5873f77ad2aa7789c3e1d1d2", "5a12e1d4d74fe1a57929eaaa14f593b80f907ea3", "282c859ffe35db6bce76b75cd51aa90a33ef0f72", "cec70cf159b51a18b39c80fac1ad34f65f3691ef", "1ed617d14dbc53b20287d3405b14c68d8dad3965", "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "4097fef623185557bb1842501cfdc97f812fc66d", "fecccc79548001ecbd6cafd3067bcf14de80b11a", "10befbb6c3f6183fe143830ac1479b7dcf119bae", "cf784156547c3be146706e2763c1a52d939d1722", "83d41f6548bb76241737dcd3fed9e182ee901ff9", "1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9", "d35c82588645b94ce3f629a0b98f6a531e4022a3", "a2359c0f81a7eb032cff1fe45e3b80007facaa2a", "41b01af6c7e6f3bd54700ef617c4bde9022012a4", "190b3caa2e1a229aa68fd6b1a360afba6f50fde4", "8724fc4d6b91eebb79057a7ce3e9dfffd3b1426f", "b54fe193b6faf228e5ffc4b88818d6aa234b5bb9", "3bfa630a6dc6d1ca98e7b43c90dd9e8b98e361d6", "d553ff1054ab9a9be745d3ed2c73c20f8afcc094", "9166f46aa3e58befaefd3537e5a11b31ebeea4d0", "b2e5df82c55295912194ec73f0dca346f7c113f6", "98e098ba9ff98fc58f22fed6d3d8540116284b91", "e546572f8205570de4518bcf8d0345465e51d7a0", "1b71d3f30238cb6621021a95543cce3aab96a21b", "39b452453bea9ce398613d8dd627984fd3a0d53c", "5a77877689e44e3ed48250f53e05b0d37bd901d7", "799c02a3cde2c0805ea728eb778161499017396b", "947ee3452e4f3d657b16325c6b959f8b8768efad", "17fa1c2a24ba8f731c8b21f1244463bc4b465681", "35e808424317cf03b51516df7d083f45791311ae", "74c19438c78a136677a7cb9004c53684a4ae56ff", "5dd496e58cfedfc11b4b43c4ffe44ac72493bf55", "669c2655f2d09d5d18b1dd25723f3a3a4cc4937d", "032a1c95388fb5c6e6016dd8597149be40bc9d4d", "87f87c837dfa89637de287fb5e4769114d6dae18", "9989eda2f5392cfe1f789bb0f6213a46d92d1302", "5e387b29ba253ddfe402509b2608d3f964721a8a", "feaedb6766f42e867aab7f1a33ba4d7ddacfc7aa", "4a9d906935c9de019c61aedc10b77ee10e3aec63", "0dfa460a35f7cab4705726b6367557b9f7842c65", "e060e32f8ad98f10277b582393df50ac17f2836c", "05e658fed4a1ce877199a4ce1a8f8cf6f449a890", "66886f5af67b22d14177119520bd9c9f39cdd2e6", "994b52bf884c71a28b4f5be4eda6baaacad1beee", "8981be3a69cd522b4e57e9914bf19f034d4b530c", "88493c1952000cde64c3f2294d36fc76fd23bf3f", "8383faea09b4b4bef8117a1da897495ebd68691b", "26a72e9dd444d2861298d9df9df9f7d147186bcd", "9d98a956aadaff727e495b14b7c532d40ea49e16", "7b87224dba24b4720f374c664158f40eb0d40ebe", "fc941fbbc906bf7834a21eea520e2d2277aa57f5", "e4d53e7f4c2052940841abc08f9574655f3f7fb4", "41aa209e9d294d370357434f310d49b2b0baebeb", "90bb40d96fcd16129eb85ce5dc4ee3b2380d74c8", "c0f67e850176bb778b6c048d81c3d7e4d8c41003", "b6bb1dcc63eee4b9f72431ec0397ae1bfdbb6060", "34c062e2b8a3f6421b9f4ff22f115a36d4aba823", "31ec1e5c3b5e020af4a5a3c1be2724c7429a7c78", "75a5d5b5b47aec2a7423632fa8a6efffdf320f46", "e65de721e68f498b6e1c63373c6df60a12533cc0", "12002e37fd9cf69a68c3c216c9ee78fcfac2fab5", "03b03f5a301b2ff88ab3bb4969f54fd9a35c7271", "0e3935a84c68cf4ddd696e09e56a2689a10957da", "ae78469de00ea1e7602ca468dcf188cdfe2c80d4", "d5de42d37ee84c86b8f9a054f90ddb4566990ec0", "93e1e195f294c463f4832c4686775bf386b3de39", "468c8f09d2ad8b558b65d11ec5ad49208c4da2f2", "8aa1591bf8fcb44f2e9f2f10d1029720ccbb8832", "292c6b743ff50757b8230395c4a001f210283a34", "ac559873b288f3ac28ee8a38c0f3710ea3f986d9", "6dd8d8be00376ac760dc92f9c5f20520872c5355", "3aa66f2829ef440842c71a52cdaff30398a90ccb", "f5b2d840e4e5f9e4191fdffbdfa82ca7b4701cec", "2f57ad0f2558e2a25443bddc5a28bd598cdbecad", "ea35d98dd074cee5042942804bd44a636f393d52", "2fea258320c50f36408032c05c54ba455d575809", "073eaa49ccde15b62425cda1d9feab0fea03a842", "0e36ada8cb9c91f07c9dcaf196d036564e117536", "a3f78cc944ac189632f25925ba807a0e0678c4d5", "8a990e81436422ebdf5de97c01c98b511dd4192c", "1221e25763c3be95c1b6626ca9e7feaa3b636d9a", "ecbe158c795b2bdbad9a16ac40a12a09c6bf11f1", "75259a613285bdb339556ae30897cb7e628209fa", "896f4d87257abd0f628c1ffbbfdac38c86a56f50", "94ac3008bf6be6be6b0f5140a0bea738d4c75579", "46242b2f1ba03f2625380fbc143cd854b9333e7f", "d1959ba4637739dcc6cc6995e10fd41fd6604713", "71167cf519940a7373adc221401c396198763ab0", "a6badaa9bbd8e222a2f06389261e27c5a599df68", "380f159cf407d2aa52232b8f7f29ae2405c35c65", "1ef6b55a23aab0ec6b02fdb01d5e30181ef42e04", "ddbd24a73ba3d74028596f393bb07a6b87a469c0", "749d605dd12a4af58de1fae6f5ef5e65eb06540e", "b9dc8cc479cacda1f23b91df00eb03f88cc0c260", "f3dc67bb4cd3601ae9bdb7df4ed5036f525ff21d", "169618b8dc9b348694a31c6e9e17b989735b4d39", "2914e8c62f0432f598251fae060447f98141e935", "56f57786516dcc8ea3c0ffe877c1363bfb9981d2", "0d62b577d0f361c05cdc6b838d03cf89766cae80", "60d4cef56efd2f5452362d4d9ac1ae05afa970d1", "96b59209ee9f658a5ed7c836e38e8fa623aba665", "c28d9c4b2d3cca5f149c2924a60490b7200fedc1", "9888edfb6276887eb56a6da7fe561e508e72a517", "add6d96fc018986f51a1aac47eae9ee3fc62fb66", "8613fef2738325a5697e253276b160099100528d", "4cac9eda716a0addb73bd7ffea2a5fb0e6ec2367", "b4d7ca26deb83cec1922a6964c1193e8dd7270e7", "1902288256839539aeb5feb3e1699b963a15aa1a", "efed01e3515097ecf25137cd543a94e92f8b8fbc", "e02fc2b0117b6f656ba7daef11987cbedb32cd89", "1b41d4ffb601d48d7a07dbbae01343f4eb8cc38c", "2d4b9fe3854ccce24040074c461d0c516c46baf4", "154695e22470bef2413c2b9388c7f1b575e3a2e1", "5dd473a4a9c6337b083edf38b6ddf5a6aece8908", "cd85f71907f1c27349947690b48bfb84e44a3db0", "bb489e4de6f9b835d70ab46217f11e32887931a2", "84b217090164f63c279d38712826cd8beade2bd3", "b9081856963ceb78dcb44ac410c6fca0533676a3", "d1f58798db460996501f224fff6cceada08f59f9", "62dccab9ab715f33761a5315746ed02e48eed2a0", "568cff415e7e1bebd4769c4a628b90db293c1717", "14c0f9dc9373bea1e27b11fa0594c86c9e632c8d", "0f9bf5d8f9087fcba419379600b86ae9e9940013", "e679d7d4a43b7549c0439bf00c05dc844e9ecfc6", "9797de286a3101fc31fb51995c18ec7d3eab804d", "da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2", "bb491d3bd43d8fb018cb7f14ca4a17738225bafb", "326ac7776f000c43ff05fbbbef444a55984346e1", "e13bd9e4571d4ed604ca38859f065bd22186cadd", "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "b45354f02252fc5aac4e8536e98fa80d5198c20a", "5435d5f8b9f4def52ac84bee109320e64e58ab8f", "021e008282714eaefc0796303f521c9e4f199d7e", "344a5802999dddd0a6d1c4d511910af2eb922231", "7d730b5e0f813c4bc1a28db276d182e45f2fb4a5", "4b4106614c1d553365bad75d7866bff0de6056ed", "7afd34046a8a0fd6bd2f2c5cc25e3793151b28c4", "8ed7924cd4aae54392e89f29d8a6f8a8f2a15de0", "de26c1560db47f63ef2dc8171d7c2c52369ffede", "e90124684b0cd67feb14cda51d9afe9fe73ba05e", "cb8ff64c1d228cdc87d0fe07a870b63d315c5566", "9da9b85e93a880aa5f026ca02bb188a445d909f2", "dd8ad6ce8701d4b09be460a6cf058fcd5318c700", "d7f5f4ae54e8020e8c01f5ea5de22a370d3e4b21", "299c14458e13eb290534eb4484ad910ea0e828a7", "0717b47ab84b848de37dbefd81cf8bf512b544ac", "6ee7007fc77c91e3d33951816ce695893fcbfac7", "53bf20644d0560a3afbf53ee1d2373713dc7f00a", "86b1751b265b289b09de79956e77a01d82e12086", "08bf83aeb7ec36815afd1183d8268ab4e10a2961", "feb303611836c0b0a7f633e5a00c3667c9860d2f", "1afef6b389bd727c566cd6fbcd99adefe4c0cf32", "0c6a18b0cee01038eb1f9373c369835b236373ae", "ac01cb10c356d26bcfb7f674fe91e6c190ba64ab", "74c8116d647612e8cd20a2528eeed38f76d09126", "94ded2328a91b678447657b9344a1423ed538374", "ff82825a04a654ca70e6d460c8d88080ee4a7fcc", "dc72dd4690f4373a7dd14223a53ea4cc16bd5210", "92911c43f91cc93a3357b48bc685ed676ef9ec11", "7d6539d637f919fa20a9261e03aedcf59f92598e", "5f87c992e5572cbab6896c9e86d8ea480e6be899", "ac1d97a465b7cc56204af5f2df0d54f819eef8a6", "b7fa06b76f4b9263567875b2988fb7bbc753e69f", "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "41574bbb811bf5f257e84f121f47d8ea0580058b", "8ade817b8af7a1ad4192f5974454373efd1402ab", "4ccae36f78c660c9fc01959e28e676142c5f8a7d", "8bd42c1bbeeeaf694999295e98ff04e978a3c295", "53c3f71f5ea3f93c33e5d68813f24135cb5ac6af", "36340f697d6c9b64adf4047a38804c0dd5b016dc", "02e4025fd63f168810724156fb6b20b0b14dccdc", "987e12505c837f96db51c844af4416dbba378921", "d06faeabf5bccb8358f225e1ff5b7f6ca080f7ad", "d71a2baecdf28fd946458a34bfbc034681a82694", "d15655bed4257ab86fcef8fd7cfdeb3d920e1bbd", "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "06d028bd761ad6f29e9f1835d6686d9880706438", "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "5161e38e4ea716dcfb554ccb88901b3d97778f64", "f98fdd7f7d95a56af8c8c11298af99c9a6142576", "39787dde76648bea72854aab06a003ff717423a6", "7da3166576ded84d613561e35f4ab7e72e424746", "5509acb71d28a18915939b6b68a2620c07f6cdc8", "b61d4c5f9188b10118b758dbff6634a942565296", "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "56a653fea5c2a7e45246613049fb16b1d204fc96", "f2779f470ff7be49b64289ba52c692e5eed67fc2", "72c9bf19ad6e9a38fadb35ffebacc6497b4acd5d", "560e888d8ddaf61c56a35fc9d20997422579900a", "97865d31b5e771cf4162bc9eae7de6991ceb8bbf", "87a2486124279eea3f7e72fb56e07ba4625a3a2a", "48010474a2888b4a728accb84f4f8ea95a7d88ae", "370e0d9b89518a6b317a9f54f18d5398895a7046", "6b67416a57718e39100f8a0e353930e84ba78011", "314ad104401c78a83cfe8018412b6a2f33340fc6", "9b612900baf8a9f9fbbbded8de37dca9157942a1", "1d5b030747bd836aebf7a00ed061a2f7bdf0a84c", "4e8f301dbedc9063831da1306b294f2bd5b10477", "ecbb05ad1d5ffc9bad3c33a8cb800d3a6d034159", "4d8da08fb2af86ff8974e6e2108c27d152b94072", "fd2e516192b3fafb7519f51b546ddd0004405982", "589b30ebdb76659ce5d3a19cd9fa0e7a3466d85d", "2f576edf6a178a6e16c71d8f67b95bd546edce57", "6b089627a4ea24bff193611e68390d1a4c3b3644", "9d2b597c4bfb9d1c188f37e6e22866786c791598", "6e9862146e7e081429da233960ba0dfa9e400fc2", "6848a0993b0754b27750a78196fa91e3cf2bbebb", "cd0503a31a9f9040736ccfb24086dc934508cfc7", "551a62f43a9da5ceb9564358ad25523736fd48dc", "390ab26ec93606a835ed0a0ab501cf2375c8cbac", "a80d991c0265e6637d8acd3bf75f2b4ccb3c759c", "b8fbe0ef134220bed2a0a7fb583c04734d83ac7d", "053f9b10532a87e346fad281e0be81337cb525a5", "3faedba96bd6b72c6669bdcb82ae0788cdcb3a43", "83cc0768927dfdac32f2d5753cf70ac23b7cddeb", "e00c26e3d16a44baf7be389e94ed0025a0ea3867", "dbfec5e1f8543db1f85fba2d212c17f1f41190ce", "3a3087c03f0403c3e180f47f9001509e852b82b3", "c1d11b94c8fecaed79f97966d4bfa8381d32ad16", "41ca12a7abad12d4372a8c785f2442b4d867c841", "267e695d33c556164983014f1aec1552aa0388bc", "a119844792fd9157dec87e3937685c8319cac62f", "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "6008556d3875927060703385c2cb52486d9b1d33", "73071addca7a387b8cc5762713a10b7347168a23", "288d2704205d9ca68660b9f3a8fda17e18329c13", "9cf3dae2c64f2935b3562364c15eb3b34fe5213d", "9f263e2600712c6fa440a931d72601ce6fca587b", "60ce4a9602c27ad17a1366165033fe5e0cf68078", "de0df8b2b4755da9f70cf1613d7b12040d0ce8ef", "e10f4d5c0e0e294e00ce3a92b2057c4b2a5acf09", "271fbc4c09b3f2eb9f56dc2bbac89262b3bc083d", "a255ed275d7cd6862204e2d45d486bbf21ece632", "c50e498ede6f5216cffd0645e747ce67fae2096a", "361eaef45fccfffd5b7df12fba902490a7d24a8d", "57ff1222a78a230c46fc81f22daa57981b0fa306", "0c9b266bc2573e7266636c88398edf3895268777", "50dde698bf03c295d08a6ec921a3b6f7531994bd", "8468af265ef8c296764d26a69a7d35e6ccd68fa5", "ac61f5e442e653e2503aea85425f0b9dba9f768a", "7aa76166f0a65a144de11e06cb0ed8f1dff2c197", "c618d4d60ce16925d4fdb219a7227d0e3575a518", "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "43b6fb3146cb92bc36a2aab1368d8665af106a87", "245057df7f66fe12e91ba242b275256235e9f831", "3555bdf6acee09ec7eb08b891a0f30b82c1b6482", "049062fae08c8b716fc8c80872fb02a15a4ab06c", "e1cc833f301c42579392f21335b70d0216b03ab4", "601655a17ca199ef674079482c9b37cdf8e094a9", "f5541330741315b98e590e405c96c72bac49d51c", "0a69aec6826546283d1277b0cf933c398fc41e86", "99127b39f7671607b1fc9d862a9af0ce9beedaa4", "43f7aeea3ff5bbcbff6cce387f8e9b6c588e4f66", "6aa0a47f4b986870370c622be51f00f3a1b9d364", "2df8f7b10a3c4e670228cdd4b837fba14c1131c9", "661e215ff688a6bbce73a76e71719416e47e193a", "3dc522a6576c3475e4a166377cbbf4ba389c041f", "9ea37d031a8f112292c0d0f8d731b837462714e9", "406c5aeca71011fd8f8bd233744a81b53ccf635a", "cb2470aade8e5630dcad5e479ab220db94ecbf91", "db35e0d084ac38dae8d80901bdfd5af6191f8a5e", "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "4f10a7697fb2a2c626d1190db2afba83c4ffe856", "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "153fbae25efd061f9046970071d0cfe739a35a0e", "5121f42de7cb9e41f93646e087df82b573b23311", "19d53bb35baf6ab02368756412800c218a2df71c", "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "7c1e9eac39dfc98a54e4d3a80e5734cbfc33178b", "65984ea40c3b17bb8965c215b61972cd660f61a7", "98518fc368d7e1478cef40f5f8fd4468763645ad", "7a131fafa7058fb75fdca32d0529bc7cb50429bd", "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "e47f4a127f41c055fb7893ddc295932ead783c63", "2401cd5606c6bc5390acc352d00c1685f0c8af60", "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "26567da544239cc6628c5696b0b10539144cbd57", "1d2639042b72191c04f0b7928313b8dc2bd4184f", "4874daed0f6a42d03011ed86e5ab46f231b02c13", "4cdb6144d56098b819076a8572a664a2c2d27f72", "c808c784237f167c78a87cc5a9d48152579c27a4", "b35ff9985aaee9371588330bcef0dfc88d1401d7", "4209783b0cab1f22341f0600eed4512155b1dee6", "76cd5e43df44e389483f23cb578a9015d1483d70", "726f76f11e904d7fcb12736c276a0b00eb5cde49", "1929863fff917ee7f6dc428fc1ce732777668eca", "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "95df57cf3e15d75a8526b4fd3212d39538d31100", "3a27d164e931c422d16481916a2fa6401b74bcef", "5a259f2f5337435f841d39dada832ab24e7b3325", "6cacda04a541d251e8221d70ac61fda88fb61a70", "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "f02f0f6fcd56a9b1407045de6634df15c60a85cd", "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "d35534f3f59631951011539da2fe83f2844ca245", "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "85d040c9886d6a966a96516e6c6df1e17060e384", "f917cdd7f7330454e52205ebda6147aa9fdef9da", "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "7fa4e972da46735971aad52413d17c4014c49e6e", "0c65226edb466204189b5aec8f1033542e2c17aa", "fb3ff56ab12bd250caf8254eca30cd97984a949a", "1345fb7700389f9d02f203b3cb25ac3594855054", "9f65319b8a33c8ec11da2f034731d928bf92e29d", "c053e59f0df43980ce7dd6d781f07df0f5b58a1f", "ddfde808af8dc8b737d115869d6cca780d050884", "e36fdb50844132fc7925550398e68e7ae95467de", "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "98b2f21db344b8b9f7747feaf86f92558595990c", "6f5309d8cc76d3d300b72745887addd2a2480ba8", "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "779904cb019c9d622b90948c99aded91cab9524a", "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "c71217b2b111a51a31cf1107c71d250348d1ff68", "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "5c54e0f46330787c4fac48aecced9a8f8e37658a", "c71b0ed402437470f229b3fdabb88ad044c092ea", "352a620f0b96a7e76b9195a7038d5eec257fd994", "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "5209758096819efee15751c8875121bd27f2ee78", "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "4a56d3240a924240c2392c0d5dea8715f6715277", "eb526174fa071345ff7b1fad1fad240cd943a6d7", "db374308655256da1479c272582d7c7139c97173", "313d5eba97fe064bdc1f00b7587a4b3543ef712a", "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "c1482491f553726a8349337351692627a04d5dbe", "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "3901f177642912be3fd132807a1e7d16796d1011", "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "dec0c26855da90876c405e9fd42830c3051c2f5f", "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "6d91da37627c05150cb40cac323ca12a91965759", "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "1ca63ee80e1d8a94a0440c2d777f67bfde4c95cd", "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "cf4e5206722ba16061982b885f8c7c86beacd27c", "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "8509abbde2f4b42dc26a45cafddcccb2d370712f", "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "c5b324f7f9abdffc1be83f640674beda81b74315", "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "606ee88d9600b332ffae5cd7992a817f9aa996af", "ae284bc18eb5e7ebe43d824b967287a5494ed17f", "3e3227c8e9f44593d2499f4d1302575c77977b2e", "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "298cbc3dfbbb3a20af4eed97906650a4ea1c29e0", "986224bad9684c359db7fac2192b7134b855fbe3", "b4367c0792af4fa0de763c17e94a38d9d4e6296e", "5b8237ae83bc457e3b29e7209126f61120fba082", "0abd596e15ed9a814037089bc53e124e262f7464", "c8e3941b7638fa2533693998ccc1ee8765e8e1d7", "ee8466a8bda15534cb862b420a8a51bb333cf06e", "0b99403a510ece40b5b6f50e64921cfbfa936784", "5bf85a60cf7506b0c14d484a2a50f553ae9a45a9", "a7252d74d69a8dee603080eab8371cbca67cc9b6", "2679e4f84c5e773cae31cef158eb358af475e22f", "f1ff567d7400ed7663d662c0b1e0ec6a9b900e70", "115c0e7e1e755410ab19e0c806a84f4439fbea78", "d812795695ea62bd9d575b94e93cbce1101d7a56", "deda217e685a07f5fe6fec5f61bf12cf033e91f9", "1c15e172032404df48ef685d6b1a5536843a7bd4", "8162c57170451331b456dd1d3266d3ef0563a379", "890f9b0e5547c133b9294bd4045eb9b4e1b60880", "a1973e527059171e83f2ef2863a8fc60afedd7b1", "893292315f5ecc73e84c5585900c53072de38550", "e0e511a5d58a8d090ad169be4fcfdbeaef097a70", "1d50e3a90ca7084319e3ae3822e08790fa99654d", "dbcab35c43c78411da8ceba4bdebe69f79308568", "3e421fd1775413bf89abd8e39a35e5e29d1a4dab", "ae541b709702e799afc563c430c96564c3663198", "f20a1f5bce0c76d3d303d9149569c833b738b71f", "c6ea6fee4823b511eecf41f6c2574a0728055baf", "4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f", "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "0d778271ed979ebfb59029647b4bf43c8ba34a85", "acee2201f8a15990551804dd382b86973eb7c0a8", "3f5b20c35f55417823f0201862d85af1f31e9348", "b1d89015f9b16515735d4140c84b0bacbbef19ac", "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "2e7cb40e06e6653027c6eae8353423513a116865", "9ac43a98fe6fde668afb4fcc115e4ee353a6732d", "6c863659540542fa90cdbb73453fdbc4cb3000f0", "bc21112cc91cf7c75bf5ece42f05b24b6beceb30", "7f5b379b12505d60f9303aab1fea48515d36d098", "13b91ecf02ffeb91497b45a890732818052f5541", "84dcf04802743d9907b5b3ae28b19cbbacd97981", "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "3a3e55cf5bfd689d6c922e082efa0cd71cd2ae5c", "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "1e9f1bbb751fe538dde9f612f60eb946747defaa", "57b1bb1c0fa7c9fdeb428339eff52e6627287a24", "778a32549a65265f1aa2a0edbbef0c430e453f40", "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "3399f8f0dff8fcf001b711174d29c9d4fde89379", "d07284a6811f1b2745d91bdb06b040b57f226882", "101d1cff1aa5590a1f79bc485cbfec094a995f74", "ad75879082132a73fe173a890a0f414f2c279739", "25a784f7f8c94c42821ee078587fc38dffcd00a4", "4203f10b41e7931a63598989aa14478c04b725c9", "bd236913cfe07896e171ece9bda62c18b8c8197e", "032825000c03b8ab4c207e1af4daeb1f225eb025", "fce6accd81546269aa4d95a5fee5c2446bacc8ed", "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "981449cdd5b820268c0876477419cba50d5d1316", "6962505b78d0cec04b992a059cc58870c361c971", "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "0355d95f618031ab9282dfbf7a80378fd8b48257", "d83583562f3536d5c13f8ca58925362f6878f5f4", "aab3561acbd19f7397cbae39dd34b3be33220309", "aafeb3d76155ec28e8ab6b4d063105d5e04e471d", "5d9f468a2841ea2f27bbe3ef2c6fe531d444be68", "0aa0e5f96d512fcd2357129ad4363d6ae961327e", "11824658170994e4d4655e8f688bace16a0d3e48", "3f607dd67b456e3dfb136c70a3dae369945a6076", "35ccc836df60cd99c731412fe44156c7fd057b99", "19d4b3679294563247c126148912d44cbf03e40e", "657e702326a1cbc561e059476e9be4d417c37795", "aa799d721f75510be236ac73f26ec92b0a89ab10", "5fa04523ff13a82b8b6612250a39e1edb5066521", "48d119442b4ea60afc97b3b247bd9efa6aa3696b", "b3b467961ba66264bb73ffe00b1830d7874ae8ce", "7c825562b3ff4683ed049a372cb6807abb09af2a", "8f71c97206a03c366ddefaa6812f865ac6df87e9", "7788fa76f1488b1597ee2bebc462f628e659f61e", "86842e65e050f8ed621ab222fe828581779fc809", "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "3fb4bf38d34f7f7e5b3df36de2413d34da3e174a", "beb49072f5ba79ed24750108c593e8982715498e", "25ff865460c2b5481fa4161749d5da8501010aa0", "ff01bc3f49130d436fca24b987b7e3beedfa404d", "5fa048bfc3e33fe852cfc3753447a756c143451a", "5c3fd194ba96c5eea41c0772ad0b2292dedcd197", "64c75774bead5c188405fd5c800a4b47103bc548", "0f0fcf041559703998abf310e56f8a2f90ee6f21", "714794c74941e45798d9c405a4fec1138cff2df3", "933d06908b782279b1127c9ba498d868b26ffe8e", "4192454749b4fc4a95348e7260c2f5c56a06cafd", "86f72a4391c3b90a03f8fbbd28d4846947f028d6", "3f4137c23193bd853d8319620f85fd11b591dbf4", "1ffa669eb393961357f9a78b6a9cc71c779a5aa3", "2232416778783616736149c870a69beb13cda743", "aa062fc9d6e986889f44c36e8286f9eb47d525e1", "494a71a5d0df506ea5803d1f4e691d4b10eae506", "b14ff2ce6d9ee83bb8b0f1085ecf30d280efeb6b", "082087ecb69a3b66d9d33c1d38a9e24e248fb9dd", "e6d422a3131508e38262485fbd0baa3cbd03af14", "b29d70f38bd4759cd9d8c2fdc9312f7f807f4fa9", "147fe6bfc76f30ccacc3620662511e452bc395f6", "3d1af6c531ebcb4321607bcef8d9dc6aa9f0dc5a", "4624a22816daf82313f48a978afc7d53ed0ec368", "552020318f81082b06d7ba12f0010e27d360d77b", "aad43bc579a9b1b4e998b8399a820c2c26001506", "f7094d4888e9ef039d283267d310b0673ff0e423", "2b507ea9720402f8b634f8b6bf407f7d73cbbf55", "98eb723145da3b29726e272f61eaeec742eae1e4", "95289007f2f336e6636cf8f920225b8d47c6e94f", "fb51141b3b65d823a4e8c70c9f7bd4a730694b21", "d0bfcf9995fc66c77c06f843b11ef5fcb2c680bb", "1550a1e5e303b49be0ad75ca9c8494c462382e74", "20b7d94df4011cd27e420976216b419890e254ff", "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "8552f6e3f73db564a2e625cceb1d1348d70b598c", "25bfe2d9fc573c2250ec3d7b084a0d50db06004f", "8298aa4a508a9586e5d54777b897eae64165a071", "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "93afaa8c5fb5e0913e1f2a2de99636ddd30f7718", "26d3f57dd09efff6315ae0064cdad4877f5297d7", "8824638e8077f62283d292804006ce94c92764bf", "1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02", "92166eb883b0505040c2d61c758985e5ec051f83", "6581c5b17db7006f4cc3575d04bfc6546854a785", "95300bce6b4554be7963620e87024449531987c5", "bf4780c028ba42bceb222bde11450672138602f5", "44c019a5e72707a1f4e06c224b530b05684fbb0a", "3149e6206484104959bcd112abb4e448fc35e311", "33c31cba98bda51f923caff75022d13bf62a5d60", "068a7c7849cb6480def2e124ac5a45564e094b2a", "6bdef989bd80d72c620aa9ac4c62c021cf4bd9d6", "33526226231cce669317ece44e6af262b8395dd9", "08d55271589f989d90a7edce3345f78f2468a7e0", "6ee1f57cbf7daa37576efca7e7d24040a5c94ee2", "9c675774d49be7ba428c80142cb63ed4267d3c46", "e989a827fa3b00941410364cd3507e4779bffb69", "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "d94b37958657aa703d8a3d02a66ee251b4c3f597", "834ff8e06ed3f01c10958a276f1526fce7ffd387", "d0441970a9f19751e6c047b364f580c30bf9754a", "9c2978428e35f27a851432dd44f1d2721e0e10e3", "ff601ac3be7d90d64b57b83ad59ede15cd38a929", "2d6130f043e69849fc0443bb489c5d21f933eddd", "149d0f12530a874093a478551e7f04c6641099d8", "64b90c3220c43f58cb38da9af1a1b77da3dde63e", "8de7da01bf4c2643f36dae4a8d2fa04906daff02", "926e02d8d850cb2d08d49b9191ffbe7fa018b5f0", "6abe0a851064e0c5068c37067f2227d53127f69b", "4b6eb9117c1b7833c8c6b95ecad427f8f994f023", "72f6bc80258293bddcca325fe95ce8df36ae6f06", "36973330ae638571484e1f68aaf455e3e6f18ae9", "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "ee8e39c8d3d2b004fe51b40cf7f54549c2f635f3", "3c8f916264e8d15ba1bc618c6adf395e86dd7b40", "f31c9328b5b4678388c19a39064a8056313f7cf4", "a6a5ee9cf956a08510269a674db6a4ef3aece36f", "09da5ae17cf1bf382f69036a96ec953c18f676d4", "6355f7fd956466e8e9f09b297e6cdd155d66740e", "4e9f46a80ffaffa2dabde4fb48d6ac72398ef829", "0adc3ad7c40c475d5878f9bdfeb3c8b59e482c17", "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "4cc675422395ed7dc7e4772280f7c57cac6fbaee", "ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e", "a20922597ebe3706598220009311161179de4a09", "781f4b1732cffc30f315eff94d53965a8fd9324f", "092597b8e0f31be1671025cea1b9fd28a48e04bc", "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "7af4ee644a0b4269a080fc491f443b32d6930bff", "956466b5c3036ada2e18f8f7c1b7bf0650779d08", "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "411278b73afedca6976f02a8d3a38cdec3337f87", "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "e7d840cf207802918e5b09af0a650b8f38f824a8", "c87f7ee391d6000aef2eadb49f03fc237f4d1170", "7d66daaaf6a52c3c0f26972c10e08423a23f842c", "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "140a587914d1e60f636c1a479c4673631ad78d04", "38b78d785ebcb57027db4abb5d64a31efad34d57", "12919f98aecdd74c1e0db56cba13d107553e421b", "fccd0406749aecf76741460de7499689ebf4c676", "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "78c84c76c3f651e13d1d2c804f54f6c6c0096468", "a0303a4d37e8264028808661050c4443b6b880de", "589d06db45e2319b29fc96582ea6c8be369f57ed", "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "4893ce89df7afde71534af9b9fd5becb947f112e", "61f56afc7713ebfacfe382d1824966cb9b967d34", "a89c12bae45ec11742c50261d6e2505272369d41", "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "89198580f18cad7f62393732868a977ffae57917", "21123fde70a1b2614fb4485d9ce786d2cc85a1ea", "35e15c8aa2a3f017462a64b5ef940baf5993480f", "d4b34e327b62b7f3fbddfc403e4642b17245a3b7", "b85e71d4e68588211c877fff8cda267b3a6bb6c9", "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "058d50af5456665dccda2b41b17bdfead72bdec8", "1608572473465387e4ed7b95936ecf7fbd10513f", "1adbcca753c7b4f22cf3d6bc3a9579573d4d5846", "399a5f7500648462fd8cf1704dfaeaea9d560e7e", "3d5b43dcb9725f469635c54c01f6bc90976b4ee0", "2eef20a11324686099ee6f9b1a7613444b0d2112", "437664a3bc539486f185a39e58d312b9dfbf393c", "1e146982a7b088e7a3790d2683484944c3b9dcf7", "9501db000474dbd182579d311dfb1b1ab8fa871f", "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "c1660197f94786364e624efed4ba03c0d8ab6161", "d75640108db01f7e0706780e6356a0c82c7eaf29", "a66a0349a840e786455ad2741c7fe7c46c9d4ca6", "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "ebe8408052d9bf05dc2007d01559dda6129840eb", "5025a2f2a2d53db48f9504be93358c3ec5261646", "82430878b6ee7a427ac389b51407599909576084", "ac36284cfa95e613f9e726cd017a5dca207fe633", "b42a8f2703867639f7ce68229b0916015878c5eb", "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "be49690e496fbe399a31994570ec4e2146bdc370", "1977d67a8db78d483a25c9fc6ad2ffad8d80c41c", "3e90a70d768415e28fbf0dd56e53f8933784c416", "53b4bfeb851b60d470788d8153db26f4312cd755", "a14260cd8c607afc6a9bd0c4df2ee22162e6d8c0", "01381e2faeb26489ae9c24c84c42df33901cfe61", "5136f69da8a61447a300a50c67d80d84a31b1257", "cfffe8b338cded442280c6435a9eb5f349f0a77c", "16701e3cbd43b52e32d567649a194245dcd31829", "54be7b76110de37a8315bad7a4b0cda3bdaace76", "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "7b51e4cf4f38c581d95b2c07457fc9a76058ddbf", "3788a901df4c47d173a992a9622537301765e9cd", "5bcff482bd9652420f8f6b0e6e58ab59a562046e", "edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3", "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "1a2b5b52e4b378a4b8b6f5adfc4a8d5d161ab012", "38010ef51f34353d79d032991b703c1d158a9a16", "c5482c2080ed780094091b9535865c4c4e5a2984", "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4", "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "88e68073a175b8dfc15d7cb9c8a1baa3ebc119c9", "b55914fe572bd2449234eb05c300b32ad94e97d8", "95be490aef44da67ca1cef76b16df14b6e40c421", "9199c2b8cdad80735651a6a8bb9115c83acae650", "137aa2f891d474fce1e7a1d1e9b3aefe21e22b34", "2f43b614607163abf41dfe5d17ef6749a1b61304", "6462ef39ca88f538405616239471a8ea17d76259", "e6d46d923f201da644ae8d8bd04721dd9ac0e73d", "45f4b0087fdcc17f122cc4f7a9aa19dd51b40669", "6dd5dbb6735846b214be72983e323726ef77c7a9", "ff76ff05aa1ab17e5ca9864df2252e6bb44c8a17", "133f01aec1534604d184d56de866a4bd531dac87", "5b721f86f4a394f05350641e639a9d6cb2046c45", "634541661d976c4b82d590ef6d1f3457d2857b19", "502d30c5eac92c7db587d85d080343fbd9bc469e", "5278b7a6f1178bf5f90cd3388908925edff5ad46", "bcc172a1051be261afacdd5313619881cbe0f676", "353b6c1f431feac6edde12b2dde7e6e702455abd", "0a0007cfd40ae9694c84f109aea11ec4f2b6cf39", "cefaad8241bceb24827a71bf7c2556e458e57faa", "0e5dad0fe99aed6978c6c6c95dc49c6dca601e6a", "46c3b9386d63b483dc113592f587b74168d30eea", "84c0f814951b80c3b2e39caf3925b56a9b2e1733", "d12bea587989fc78b47584470fd8f689b6ab81d2", "b747fcad32484dfbe29530a15776d0df5688a7db", "77cea27494499dd162221d1476bf70a87391790a", "48bc87ccc6b6e2d318f91d5f1886432806fec553", "205b34b6035aa7b23d89f1aed2850b1d3780de35", "d04d5692461d208dd5f079b98082eda887b62323", "e4b825bf9d5df47e01e8d7829371d05208fc272d", "84574aa43a98ad8a29470977e7b091f5a5ec2366", "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "584909d2220b52c0d037e8761d80cb22f516773f", "b749ca71c60904d7dad6fc8fa142bf81f6e56a62", "f2d605985821597773bc6b956036bdbc5d307386", "93eb3963bc20e28af26c53ef3bce1e76b15e3209", "6479b61ea89e9d474ffdefa71f068fbcde22cc44", "53da28434f35b26e5fc3d49824c97c32f670eeb9", "2348f1fa2940b01ec90e023fac8cc96812189774", "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "46976097c54e86032932d559c8eb82ffea4bb6bb", "29122f1861339307f586ef36d9e302c09098bd3f", "214ac8196d8061981bef271b37a279526aab5024", "384f972c81c52fe36849600728865ea50a0c4670", "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b", "a11ce3c9b78bf3f868b1467b620219ff651fe125", "aad7b12936e0ced60bc0be95e8670b60b5d5ce20", "8f6263e4d3775757e804796e104631c7a2bb8679", "a14ae81609d09fed217aa12a4df9466553db4859", "430c4d7ad76e51d83bbd7ec9d3f856043f054915", "29e793271370c1f9f5ac03d7b1e70d1efa10577c", "e6c4715476216be00ea61fc276ff39fb4620d785", "9a98dd6d6aaba05c9e46411ea263f74df908203d", "a324d61c79fe2e240e080f0dab358aa72dd002b3", "ce032dae834f383125cdd852e7c1bc793d4c3ba3", "33ac7fd3a622da23308f21b0c4986ae8a86ecd2b", "db36e682501582d1c7b903422993cf8d70bb0b42", "3e18b439a6fff09a0e4c245eb1298531cc766a72", "93d74b1315a09f568027b6d8b3068ef048d17889", "b712f08f819b925ff7587b6c09a8855bc295d795", "9b9a1f18749e969c8f246894e59c62ae86b079be", "251e386a90f21db6d02806395b012b297cbf06ff", "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "8c0a4d39eb85f24e2052e0418c62f1653ae8cd2c", "4cb31f16e94067ce5eaeb8eae00eb0b0d49d46b2", "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "e5b301ee349ba8e96ea6c71782295c4f06be6c31", "7726a6ab26a1654d34ec04c0b7b3dd80c5f84e0d", "6cce5ccc5d366996f5a32de17a403341db5fddc6", "05287cbad6093deffe9a0fdb9115605595dfeaf0", "78fede85d6595e7a0939095821121f8bfae05da6", "4686bdcee01520ed6a769943f112b2471e436208", "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "741950ae2e503a614f257cdac653d1bb30cb8e79", "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "5c6de2d9f93b90034f07860ae485a2accf529285", "78436256ff8f2e448b28e854ebec5e8d8306cf21", "3b4f114c94b2ce5b082023aadba172fb47c02e56", "8e64d872a419f122f870026179ccbc5daa1645fd", "12c4ba96eaa37586f07be0d82b2e99964048dcb5", "942b89d8d17e89e58c82453de2bfcbbeb09adc81", "481fb0a74528fa7706669a5cce6a212ac46eaea3", "57246142814d7010d3592e3a39a1ed819dd01f3b", "3f7cf52fb5bf7b622dce17bb9dfe747ce4a65b96", "81831ed8e5b304e9d28d2d8524d952b12b4cbf55", "89e7d23e0c6a1d636f2da68aaef58efee36b718b", "ad5a1621190d18dd429930ab5125c849ce7e4506", "59031a35b0727925f8c47c3b2194224323489d68", "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "c697590ddd71232174072c9680adbc7a0b30c84c", "98a660c15c821ea6d49a61c5061cd88e26c18c65", "146bbf00298ee1caecde3d74e59a2b8773d2c0fc", "dce15becf620afd938818ce5ebd793c798782b70", "49fe4f387ac7e5852a78b327ec42cc7300c5f8e0", "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "bcd4e549928260d247f3ca67659a65ffcd429e98", "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "d9358de0d80f4f4d89c91b2b16fd52279b4834e4", "395a91d49e9283e1bf2d61a75c3dc846b347ea74", "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "fd649233d62bf43d589818fbb41295e2d0669aeb", "60a006bdfe5b8bf3243404fae8a5f4a9d58fa892", "14ba910c46d659871843b31d5be6cba59843a8b8", "532f7ec8e0c8f7331417dd4a45dc2e8930874066", "3bf8e4d89b9e6d004de6ea52e3e9d68f6015f94b", "4e21fb066ea5eee04f3e2090bb4348344ae980a2", "ffea4184a0b24807b5f4ed87f9a985c2a27027d9", "0fabb4a40f2e3a2502cd935e54e090a304006c1c", "13907865a97afde053d7bb7134d58a7bbc12043c", "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "b8d4754813b88ef1a583da2fcd164398824d04db", "c84991fe3bf0635e326a05e34b11ccaf74d233dc", "9b1bcef8bfef0fb5eb5ea9af0b699aa0534fceca", "c4b91786a1c7da66e10200195345dd32762be285", "cceec87bad847b9b87178bde8ce5cce6bf1a8e99", "120bcc9879d953de7b2ecfbcd301f72f3a96fb87", "68f19f06f49aa98b676fc6e315b25e23a1efb1f0", "7f44e5929b11ce2192c3ae81fbe602081a7ab5c4", "fec295c6b6a1795d8ccb4592603040794667dfa7", "7b21db9efc3403fa054739921e29aedcc81b1fb1", "07a31bd7a0bd7118f8ac0bc735feef90e304fb08", "bbcb4920b312da201bf4d2359383fb4ee3b17ed9", "cd436f05fb4aeeda5d1085f2fe0384526571a46e", "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "c9832564d5dc601113b4d80e5a05ede6fee9f7dd", "b7b8e7813fbc12849f2daba5cab604abd8cbaab6", "ae8240095c9cca2c395f173fece2f46277b94929", "8813368c6c14552539137aba2b6f8c55f561b75f", "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "3a2fc58222870d8bed62442c00341e8c0a39ec87", "0756efe121e37479157010e18723e0c8da02a34b", "a532cfc69259254192aee3fc5be614d9197e7824", "499f1d647d938235e9186d968b7bb2ab20f2726d", "2d294c58b2afb529b26c49d3c92293431f5f98d0", "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "9c0fd1134aa730c876c4020fc4e54f6e7162109a", "75e5ba7621935b57b2be7bf4a10cad66a9c445b9", "02a92b79391ddac0acef4f665b396f7f39ca2972", "33ad23377eaead8955ed1c2b087a5e536fecf44e", "b1efefcc9a5d30be90776571a6cc0071f3679753", "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "1063be2ad265751fb958b396ee26167fa0e844d2", "5dc52c64991c655a12936867594326cf6352eb8e", "62e0380a86e92709fe2c64e6a71ed94d152c6643", "0059b3dfc7056f26de1eabaafd1ad542e34c2c2e", "0394e684bd0a94fc2ff09d2baef8059c2652ffb0", "61a3c45c9f802f9d5fa8d94fee811e203bac6487", "651cafb2620ab60a0e4f550c080231f20ae6d26e", "f56c407f918cf89ffa2ec3c51c383d53510c10e1", "c610101667a93d0beed6376dc8e53cdbab6f3674", "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "13f06b08f371ba8b5d31c3e288b4deb61335b462", "b7239d619c5ad3d80a170bb33ca427bb4278f4a1", "293c4f086152ae9d635ab1eb84b72f44cb57d129", "9fede7e3fac47a4206a643c4647834e5680f2a8f", "1b510618969a298225764eaee54ee700fefb2d23", "e79aaa36b68cb9e14ab4a6a66028dcb4c79e8681", "228fe0c98a1d331d0dd30fedf282c0d262837f28", "397c395aed9d96aef064b9ceb9f0eae9421eb00a", "dcfcc635b299184bb96a020ac6501e4b14fa0674", "6e75fcf384b31ea2108a81d868fbb886f39cd188", "0e55a3a498cf7df0b980de1980c1e8c36fac1f27", "ab8af4cb5243544e38852bb670aafe5a2fd9b3ec", "d97094aafbcec8e4cb63098b42a7553ffd2cb854", "8a9db3cb799922a7b1642a5b5d7361142de5d656", "fbb3e9903fbcf0b8778712c29459255731342cbe", "d913c573a5ad25098bbca39a0d86e3b65ed4b6a0", "2f5aa539fb27962aa4ba5b264ee503e6921bf531", "4823dcfb0bdc1af20e4da85035b8fc2c71a6add1", "e72c4139e3d2d85915b065f2608f65ebe879b6f5", "07a6468d70dd62ce63a90b1b67651729f9c3037a", "43b7f3d356ae89b3772f3e64d4456ff0f442d4d3", "6d08526a7a02ffa51ac50fab2eb9f794af38539b", "07db2bec3691535ad9d8525b4cd0f230ddc6b384", "049b8821cc1545c3d80428277aaefccf800e7fa3", "544519fa0794d41a04307973156016b6c679ffa5", "2cd9a7eefc126469b566fc429657bb889d13b4fa", "68e4ed4daa2ae94c789443ed222601a4a47f9a45", "21fbcd455db2ed78d47d10fd16ed88b667632906", "7e2fbda3cd115024ad0125806db7dc28fcc22489", "60161c712a491764b6f227d72e9d01e956caa873", "084145b7b828d93a5bb5f5dd04f3ccd003dcd5c1", "20928315086a49e0cdea0ec66f2e78e9c564f794", "f98a975642972ce24e42e6957f63be556c11dd31", "310dbc59aa3309f2a3813728783d81a9f7f1c939", "52df9da94f8b76ec130d5128222ef7fd76304438", "da7ab36f1d14bedf0a3280257342bd1dba9833e1", "2eb730bd36a8960b512297e0a5c99441fc19ca51", "38dcf70922020b81b641ba44ad2424ec50e5c8fd", "ccb83c86a3b27d1663292c34742ce1b5fda43a67", "4a2ba5d7b41ae1d8334c5b8bb1e76ce29e4367ee", "771d7744a78de4a3a7cff09fe05ff7f7e4d15142", "20a2890c92b7ad628aedd25db3384276f0fdaf90", "ee0f601226819c01fc6b6add2e551887473bbc23", "99bde06e7d5191a47f8dfb7b457531cb5721021d", "8b454f38e35e1ee51bd1aa1b16d3d8db5d68fc05", "c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc", "7442f8ccba3a5810ddb4b4d10f51fb93af7895c9", "1cc952244563c61596d58d8f6c339a235fa975f7", "23095c6fc92f41a86f93276d446cfc72c7ce7b23", "a0ff4d516c81189fe0719f03f5caebe31d70e0fb", "e9ac109c395ededb23dfc78fe85d76eeb772ee7e", "1a382d4e436e3e4f3d735f6e34ba2bc61e30838e", "b848eec33ad46861b3148bce7a7e53c7f8dd0db7", "78c823c2b3e6b198eb01dcc553f2e2642d23af15", "74410df341f44f5c915d97725ce396a862d44a7b", "bad7254ae08f8bf1305e70c7de28374f67f151fd", "12169ff906633e486599660ebf77dd73060640b9", "dd829179231c2d7a51bdfaaed25afb7b82f9c9d2", "f3f7df3315fcb8d651efaa85ce59b82c4f46cc08", "acc550d31b50c8d95794dc35dd1e271f979a0854", "1e5c8fded283dd4c305a1e4c9c1fc8e0988f9c01", "a65e953df1dbc007862f8eaa8c12ceb225d15837", "601bed4ec12d11e4230dc715bf871de580f3b917", "89dbfb9b75d3902748d73bfb5965e7d11e83c10e", "65057b96e3c81302caa1d2cf779a3adc8fb5af74", "4bc98553a4c324d6f501b6403c1956fad700e559", "f06b30bf5874ad6168615b4443d011dd44e1ceda", "02a5216a20423bfeda6bc49636e7a6ebfcf8576d", "3877e8c9ccb2d9186d619b7827f1184138d1a837", "b58e71a3336193bed5785b2818a4fec85dd5f5ff", "d7e8672caecc7e4b17e8d9d3cbd673d402c7e7af", "e23707a6978e08f7a2b83d82330b360759a9c1a0", "94d0c0ed5bb9c13c2c8231adfdd9d96cf837514a", "226ecde126cbcefcab78d551be1bbd814738397f", "b691463de5e30e7efd18b9d02cbf83c805834fe7", "2889eba77ec480a175df2a2e8728d73d12b9b790", "2799d53ca80d67f104bef207a667fa12b4c59d62", "765ec537eebe7ff30d0c298fe15b1c3475cbdb98", "c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d", "b5f7b17b0feb3a1f3af60dce61fd9a9c6b067368", "2c49e626d297e6ee26671459a77776b97b5f2c88", "0f708ace6f4829e466a8a549bd23f6fcf719ab9d", "5c669416ecb41245b2525afcf4fb962d8b871ac1", "daaa90ba7248d22d655479431dbd3edf349469cc", "9c2039d036c01e421176d33c1436633d03be4678", "5c81048593a6729b2d0b948a1129a97bdbf82f11", "f0d6c3a5dc85b84863987edc5e62ea8e5549d412", "868d2b757c5bf7583562abc58f5eb756d3bdbf26", "f10ddad356ac9376e8c982f96cead7f6bdee3251", "dda95e28395324aa87027d9692423b3a6f42dd4a", "18625d8895de791f01a6cc2754c9ac50128f4110", "eed1cadc4b739968032d4a94a8629c3bc76e0129", "b0cce83fedd64f46af401e04d15f50f294bc8259", "08779b7be598b6f4e50dfeaba6255631d9476ff6", "19dfea55ce8c6999415cb6216de0e5bd108a4f79", "0c922f8be9f0368c1abd53b8d9554f06b73a56cf", "d3dcdd5bd1592ff8555629068e046ce0741d6062", "12b2ae1ebbaed2e664a028b3d845456061722a6a", "f827c2d22bf74ba6047e265680a48f7279ea24e4", "8faa4f2e287ff1bcaba2e0cd84d82a66bb2982f5", "1f61c1ba961c6328923f4c6219c6889ccb538506", "64fb6c31033e38eaaa10c0f7c2b7995f8fa84de3", "df9a016950ffaaa8526e7332f0a6568ad43d054f", "f87ae55502267f82e031a8101b0efa626f3e6c7a", "5ec7e6b9cf06ab90cca7bda8e7a4b54ecb6859ac", "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "0d49fcaf53ac1f3b5fe12bef92c9035a36865802", "d1a760d034200c0a34aa1dbdaa0620756c2aa5e8", "d0e684f9614ab97a8f4ec47775124242ce493f26", "12fa3c73a7764cb65bb76fed0601fc5d79893bcd", "c132a6e869cd171e403784c172961471733dce31", "b6fd905efd5da32bd32047896074a821477cb564", "3d23fcaec13373c514965ebf50f16939bde19aac", "54389f3952811d03992d0d4b9f7b1c40b37ca613", "79d6d077a543a7b789d42dd10c5e102bbe2cbf2c", "1bb652545b316701faf582d673a98060ee426f37", "4d4a8bb9c47350746fc41b183db422175fea8d55", "f9cf3bbca1598a0309c1395c5a46f17f774f4094", "ee36ec51c08844c63c3faad94869de618cd31cfc", "ce06015fc0eb2add064ef93c9b97ad063c03aef4", "5078c4494a8ba13f568b6cea454cca571c7735a3", "ab6428083fb7f0e7eec46e2c4965c69bf55e5f87", "dff612c198dc50a7bef5a9cd48da5da1f893fa72", "2ba534b20211586708c7f6300e8c2d6ff2245adb", "7e6b11674e989d6a86afda241a51f7fa3790b93e", "d29279725abfae6bffb81e59296443f3d5f7a689", "3a430e576b134df617ff0d148e2d0bc5472b95d2", "ee7a2bf42afba263925b125b3c7de3a2cb7698c0", "46d7f41189c5e262df9ad1165d5a40d2b685bb0f", "15686988df40f5ec8475471ca14a6406aec4c85b", "f8bebca34cc787dd2652deb182cf66d346d06094", "b54224b037fbf3a73873c55b5d67f260178c41c9", "15cf11ddfc046b2ed2766c375e8ad067baaf8347", "6f24906ec9888fd2a2c158794f22fd428c833c6e", "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "1d630cc482f7a261738eb8b3b2021cf27c38370e", "21c478661268d62f32060472b34e7b9f31b76b54", "513674c8bcaf3cedfc934f4e15a07a882c6bbf07", "363cb83220451baa9f785a1fa738e41178e015c7", "ecde1c993f58a4ebd34aa7033e49f3f964b05fc6", "29401a5ad840cfa2c525003815149d62399e91d1", "7e9914314af3b9998b22ec8906544fe7786ce9e8", "081093b0b3195e3f6bfa283b49fee26b606d4f67", "ce4df7862bbf7e70d0052470e4bced479bf83703", "1da28f17e4df1f45056d6b8e76c08252ee909333", "395dadff1eab9c8177f843326ec864567342eba5", "ab036048cf90296171ad2bb7265c5a5b7f3252f7", "f691d38efe4cb8ba6fbd812d54de4098ac992c3c", "27123e0e9743f27fb25e4f1a325a01c89240d0bc", "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "51e9630e2d3f353d43834d06ef5b75fbccf0243a", "32bd968e6cf31e69ee5fca14d3eadeec7f4187c6", "214959c01b73e2d6eb4a39607de6fdc062526047", "4183d1b79d54f5638063e6c59a2a873ee2cd1bed", "3eb5f1d466228c1345d92f906ab31ab93c160837", "85df1c2ed78788699f805b43a40f041813f04f2e", "02fbf86b975c3f45b04de8288d1565cce8b53f62", "11138173fa5e72a6bba314881d8d5dd74c1ac83f", "06118523e79fc6a0f75f05c75dfd95e283aa5eab", "b41d14ca81ab76f8528277e65bd2f57078796779", "ab9d368b2ebcc34e38046de49437b7bb224c5b56", "260081528f19f6f7e8e5ae16a776b62ad8c2ed0d", "0f51f1586edb3437812c8ccc339ce62f98d2dcc3", "1ece9e67cdc9141f3d27102d820ed9490ea57039", "fbd5678f6f29ab9217c09b54bede92887e38329d", "472df520353b3715ee8e5234db01d0f551e6d9a2", "d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539", "af2c7b9adbf898b251d3d5d0659fd21fcd0197ba", "ece80165040e9d8304c5dd808a6cdb29c8ecbf5b", "c1aa52ad21d0ec20102eb5402c60ac91c49612bb", "28bf3aee9eecc2f7a7b4ac71bfe89534d3fe5f19", "90918dfd9d754e1cd07ed6acafec9001a4685ce5", "650f4ccbe7d4aa49ae80e246df394ca6c60894ec", "543119d346faf7c4272811a6338b3ee957148589", "9217dd87274bb6b5ddf9bb403a065822eaf9efdf", "a8a50323fee41ca89940a812a90e817fea8a23a1", "e3c5c5623af4b1a1f719cac24850dcaa6a304bd5", "ce073cb70eec80d87c9e07a4ec2d4162d91e23a6", "22493d8d4d7b4604cae23638dce4981b36e30147", "fdc6715efab69e057d53d782e930fd3e700cc7f9", "6a4f694b028b3d8392cbb185a34e49a657245265", "390cc673792dbf47939f621aef5bb774ca01dc46", "ece02507e17c7e6a5ce4d58f990f3e01c6555aa4", "7c8e64f20b58ddd1fc0e9c972c3eb0fe35b40a6b", "bc445bebf386b769263eed043e982bc1e4755080", "20124806b1bbd5617b01fefe2ad06f1af5717c78", "1fe73457d92f6158847e5e8dd18f040ef7cb3987", "061fb1b627554f52ff8f3ebb531e326767d845ec", "2557e2ed0a19cbe2d78e3d4daa5d39e62be5d009", "14eeb1ed623c7c2be0414c75f696523d46ae45d5", "05603a8742c8fe8545cade27b65bcf8de3e5f43c", "14f55f333c29871867b48e1a9084132542d88083", "b5fabc72ecdebd832fb02f1ea2e85672f2ef125e", "abc618b5c4f69a34c655bbb93c6003cc671b0f72", "641f9c87356c0829e690272b010848242058b8bc", "9043df1de4f6e181875011c1379d1a7f68a28d6c", "4953da81a1a93ab3a30152d4403c5e8fa79edc09", "69ee78388e0f40941496ab92efe3e0fa065ad22e", "0437028464aae0237a292bb5317838b2bc6e1ce9", "0b2a3e66aadf351fc3da369c15d7d8a94e0e4468", "1dfa8cce7b8dfd4b954d3fd90bef7bf569c87fb8", "96317a89a479017ac3aec1bc5efe63fa947a70af", "1c80bc91c74d4984e6422e7b0856cf3cf28df1fb", "8f02ec0be21461fbcedf51d864f944cfc42c875f", "3137870bf1314e25c2246d4a9d77d941aadd5398", "df6216785f64c2c191df4d07012cc1a9f339cc26", "069e61934f8104b76b31c1f18d2e9a4f5ec50de4", "2ade545f25f5ba66295aeab3a89583e7cf6101b3", "c9bda86e23cab9e4f15ea0c4cbb6cc02b9dfb709", "e35f4238bbc6c4acf4fce9591fa5cebf64fd0c2e", "9922a2ec8dfb307bb1fcb334098fd912e23b3bab", "ed5519a03f52e47047079da2e0c480eb8c4a9805", "eae83dac25f323f24b0f2f9df1ad6dc47456231e", "7ba6ac1b769ad7098037c07a5b7399fe9d97fcc8", "c900e0ad4c95948baaf0acd8449fde26f9b4952a", "ee815f60dc4a090fa9fcfba0135f4707af21420d", "603bfd8e1230816526e213855c5de172443f9ee1", "2a16da1479ad4d7fb9566e2a8bdc08f45a2a5452", "382e9f1ed5e3e0e7dd5b1f27cdd14e4202044f9b", "754626bd5fb06fee5e10962fdfeddd495513e84b", "31cc32b6e68cde4c38ffed0a8dc6a73d3f1c5e22", "faef5bedb0b1e92730febce4e6af33b803bd463a", "1f5131663f5874f12790fd4eadd893f8b8d2f9a2", "f5f5db54551556418c45ef009cec4647e7d0bc58", "9e297343da13cf9ba0ad8b5b75c07723136f4885", "2af733d1a779e69c62b0b2b4b40d8667702cff4d", "30fe65e38a5822184a463bf0d26a374b5e08d2b9", "cb7bbede1c2eae831dd73440f439955c4310837f", "39ade96e6e680d58a8aaa8e2a72616b706707dce", "bd6158bed42b038863c8ace0c96700e87c1c0231", "df4e31f00c6c27e1a76df1cc539696faff384fb6", "24f1e2b7a48c2c88c9e44de27dc3eefd563f6d39", "82d5656c74362d6c5c5fd889fc48f7816bbb033a", "aaee760cd3e5669dd597f0daf8c50b4da995e7e5", "1e3a9b0cfdeca614c5689a3419016c89bf9fbdfa", "aeb09c11a94a1589b0404b5d14a68cc40fcc0705", "7bce03583d85b307d5b84872e2ff147661a70158", "c571a5273d09d5b63b9af6a8611f6ee8510f1c08", "3e832919bf4156dd2c7c191acbbc714535f1d8c2", "c72e6992f44ce75a40f44be4365dc4f264735cfb", "a9e8c08c69b8752a8afad752ec26a2b3807ede50", "102e97d0793eeba6c065d487ab38bf66108df8ff", "e31f24b92a19aeb9a7611a9ca09223c8f5238ae1", "9b07084c074ba3710fee59ed749c001ae70aa408", "555dba0fcb3c7bafb881a9a17a795c16475ce0da", "2297ead8a0000dab33ebc73b7d5781b3258322b6", "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "04f49be1bba3d4786a2f9d949f5b6ce4b822b9e6", "f9034d80a0c318a8c564ce3aa9d8545d871b9663", "b36b1485cc07df374cf2b01e4797a98da887d641", "9da429ce36afc75f2c457880a9d7129220ac9225", "340a93570291aa3883e93bb00adbad7b0d2a0c30", "580097d2532cfd280abeb17769c2b2963f3eac02", "1f0fe020c9c181352b6f42f893c79dc02f178de5", "37922bcfd75d50b7a500fbf61174ed3151fddfce", "18fd129d0c31ca2d5c8454089d487510cac3f314", "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "fc160770d259eb037fcd48a8e3b476c2bfab267c", "9fb93b7c2bae866608f26c4254e5bd69cc5031d6", "b612bbd751d94996a02b85829e0b2ac0511350ff", "34a0d0cab4fd24b14554bf4d46caf07f2037eaed", "1f7c0d8a5edb749eddd866674f2f8b5d3a409170", "9ebe5d78163a91239f10c453d76082dfa329851d", "0a2891043bf1e74bfbd43b8b4589c3dd172b57a6", "0095f7ea55fc04feb5fbd532e8c07fa281faffd7", "2302933bb19072f2b3381c5049fb15c45e5d52a8", "cc76ddf3335a324436bbcfe33b1d9c158723432d", "9b666e20f570387214926eee542965f3fbe3cfce", "b82058b4bf630d33e129ab097b8cacf6cc3d4556", "0b6314e9e741d19346d936eaaa7d6fcf46dd3ed7", "f6abc5171112c4a2d4273be301e0528a3a0f2159", "1dd3faf5488751c9de10977528ab96be24616138", "dd03498b4e38ac0d213e7c9dbfd75a3b5ac64cc1", "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "05455f5e3c3989be4991cb74b73cdfd0d6522622", "61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa", "f59e2bd58563d03a31e2a3a1a7b309e33f03387d", "984e6ae7d2d018f7947c84b440a4cb9047d8e502", "9fbcce73bc2d28f12764cabf22fb4ebf7b7c628e", "291b227b9ced8468a53870fc382ed13f5cb807bb", "3690af0af51a067750f664c08e48b486d1cd476d", "5527f5f38512ba63d3dcafaa24bba8037a243e47", "00f1cccba86736cb6b6f39759ca6749f819252f0", "4bc9a767d7e63c5b94614ebdc24a8775603b15c9", "11ad162b3165b4353df8d7b4153fb26d6a310d11", "02e18aba47210ddb1b55de670cab2100a23b712d", "ddccc58c84de4ed2051f72f9870f3f958080307a", "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "035c8632c1ffbeb75efe16a4ec50c91e20e6e189", "ede1ba873ac2fa186a8d2f58be6cde2284c65d1d", "138cef9080f213f1ffc7900ade7c0e85ee8e7bf2", "a14df1c3d79966e65e11f29ea09d90446be73fa9", "fbc9ba70e36768efff130c7d970ce52810b044ff", "f65b47093e4d45013f54c3ba09bbcce7140af6bb", "2b5ec4532fbd88f730e542d4bd5ad6dbe163e868", "60e1b0d8682ddb1eaee8f6deacaa7c8dd4c908fa", "7e528ff6b6c6e38aaf4ca01b046523fb23debe45", "59c33ec110a0840ea8a639426b3e11739eff2e36", "dd65f71dac86e36eecbd3ed225d016c3336b4a13", "e7e9a228d1562ea991a31ecdd2c10163a95fe7d1", "e3c8e49ffa7beceffca3f7f276c27ae6d29b35db", "9cdb311463aca8ab3f2619e390635ea42ca02097", "e0590d0705bb0ee7182eb8c45671b142fd37460b", "28e1982d20b6eff33989abbef3e9e74400dbf508", "4ba8be7f84b5eb9cf2078e5503b9ca55f5902add", "be65ca1665e041a8d801759fec9a918ef7ff5c39", "5b7b9dacba6aa8a1967eed630145e77695c75590", "b7e0340688798c8cf684c5d0f2e71b9832d2856c", "aed6af12148b43e4a24ee6e2bc3604ca59bd99a5", "710669a25300eb9d083ce46a643b492eab80b1a9", "fd4b5766a8ace0d89676deb26a098949a96089a3", "f6a574f597daf1c0252db61eb6ed8cb369b6851b", "e5799fd239531644ad9270f49a3961d7540ce358", "3ce37af3ac0ed2eba08267a3605730b2e0433da5", "0671a41b780be540ace68c2db654544508e29e49", "07e5bd5d3830e55dc85677821eea8256e252f966", "1860b8f63ce501bd0dfa9e6f2debc080e88d9baa", "e43a18384695ae0acc820171236a39811ec2cd58", "9c75db3d0abcccef5113db7bafe2fe5ab0559dab", "d413ab304bd3e6c6e41f2cebf8b0b20edcff3b9a", "7334b3ade39e3bd826bdd9bdae73d176e4a02caf", "faf19885431cb39360158982c3a1127f6090a1f6", "ccfae6f7458391fdb42170af6abf1b6840cfe88d", "b039e95a998d3f0c29ba06aacb0bbef3a02b551e", "b5050d74dd8f0384506bcd365b31044c80d476c0", "d5488ccb99a3e7adab37d5c7ea05b163bc717d07", "305887fe0fce91470c6cb042616cb36486dc0e3b", "fa72f77519d4e48d9dbb1f47eafdbc9bc4c824bd", "974b32c4b74cc6a15f44cf8b5874d6f20273b21f", "7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0", "5f01f14ca354266106d8aa1b07c45e8c9ac3e273", "5adc2c8fc8c851a7e14665c581328c7e5cca0c00", "58192249cc6aa7b21ef32685f610585d5782544b", "d9bfc8095bfa604d90e1cb8c878ab844c2f89464", "33d30ab798e518eedbebe7e7569737362fdcefdb", "2abc43c86b206fcac256aed478a37a4003ada602", "218ce079b9e64288faf20a87043dc32884105102", "c46ae522b8cedb68339dbb8fd9c1fa3b2d676f8e", "8e88a651e7bc9d200fcd7af0ca93690e0929f469", "13be4f13dac6c9a93f969f823c4b8c88f607a8c4", "6cad008ad80081dc42752e813ee6924e3c174dc7", "84f003d3cfb093b0cebfa3ae8ae5f138a5677558", "531b50e7b829547db9ad143d232bc07b1a64e3e3", "66886997988358847615375ba7d6e9eb0f1bb27f", "a72a882fff54c34a5fcabb4bd32c03689544e683", "d3409f66d35f5828affda26fc3416771eb8154b1", "c8af2aec7729fc64d01773a9f603ddadf8d88525", "0aa303109a3402aa5a203877847d549c4a24d933", "bd5fd0b8dae02bec7bbb286f804b4a7b0c4457f7", "7da069849066a55d219b9e5b043fb4e07dee2652", "f7c50d2be9fba0e4527fd9fbe3095e9d9a94fdd3", "9ec3a2af6cbee57cd337b5f46a2792aace196e78", "26e118084d09771bfb996628a7569200100bff1a", "46a01565e6afe7c074affb752e7069ee3bf2e4ef", "88b02b654a0206e47979618ff95697f4cab7f6a1", "d65ad3e9293bd1dca1b137f8b81f18e201e76c3a", "ae8febda8de382422962c4ff73f87d92c5e029df", "7dbe77557878f9a2ac65c253256d498100711a10", "5f1019f26479545a6f2f9c364b995579e283d2ce", "d71cefc30269feaa1de3e330b472a7dc66ec95d3", "601c9ac5859021c5c1321adeb38b177ebad346f0", "06d4379308d2716a866fc2ca583e4f2a33fa9f4c", "50e6d9ece3ddf145252484d04984bfc86ce58db3", "f7bf5b6b4c45a1df022c73a234a65ae77a3eab4a", "418f96729f68fdd5a8e206248a2fe180672f9de2", "0e815b773e480ef20a680dd35cd72ab26a141d2f", "8e069b2447751a2ac44056203a47fa97ac803e4b", "b9b5bcd2fe579766074eef40ffbea0b4f4cc2283", "4e2ad2fb548e9197feed11f03ec4741ebed81d44", "c8654556a010a86b8eec681b290a1d06597c6202", "57ef0d30fac07e1fef3346838a1dcc8f4eb9f315", "957fb0bfee2b28476b69ea13f4d594efcb011cab", "179ca4195c90e032aa1e052bf6dfea62095e1006", "589cf8d6e4d6dd7372b469814d4e369f318a17d3", "9f1b39e8d157b74181c666e85e5d55550d762409", "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "16e577820999e584c787ec611f55746cf9147518", "b80f2419d89937ab6b8c4591fdf72239875ddbec", "4c438728464f3d81d975c78aa0d7ed01088d2435", "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "33e430001ae882bdca340485346d4546295501d4", "cd1347c9bdf48198dc0e323b8d579b8838df6fb5", "0443b7a4372fb7bdcd69a0b55945f937c8b7d35b", "7f02f790f320194d5eccf7665066308e46f5d0e9", "65e9f360106dfbc8fd3c4a631e14a22535dce421", "e5b4700a615cde23b91be3eadf1c99642cd33e42", "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "16a2f42edb98495bb9b766c56a05edcd2ca4ef03", "5c9c153f705a02e157adcf49dccf4f1eeb70cf93", "586f7cafee0456c25e850dcf42b38195a8a80055", "51319bb12c67fb5b11cbf2012a7e2059718b52eb", "1e41d1d24200ba830285b2526735e147f2e64640", "52a152b985b298be4b382d0b6045e31f43850c6f", "de1aafc4f737d17b211fb84b80bace40f82c148b", "df1cd65bb206e7e2039436381fb5290b0fed496a", "097f482c548075305b5866d7d0fde7b67c30c52d", "0a6a173a1d1d36285bae97f98f4b901067d40097", "b87237dc91cb8459723ca8e3c6999f39f010481b", "50f3209d022d1ac185237425a3ad682d2234c1ca", "d7cbd030b282a7b0fe397df04a6a3c860608982f", "6f90c0330a54d836f63d3b8e608193d26335dc71", "7bcd98ee2df3d14eae7bbed713208cb7da7b5db0", "42505464808dfb446f521fc6ff2cfeffd4d68ff1", "bd104ea0561755c6c0b963ef9e1126b21f44abb2", "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "04d08f834da05dec5494fc599d48ceccc992179e", "da59f4fa6dc73b2b8b041e7d4e0e7f121297658a", "40229a034d2fcddc3df32f906ec4ef6a3b3e017e", "751223e9636f4624551b37d8891f0e06eeb64a5d", "64f6c8c333bc043d41b83b6e62fbe3a521882ec3", "4562904c57a9184d9fdfab8a534a82484bba8e4e", "4a3d96b2a53114da4be3880f652a6eef3f3cc035", "19089ecd35606445c62ff4abaa26252f44dcda89", "17efdcdb40094119f1144252b3670356aac9ae4f", "8ee11bf054c0fccf2949357363987768c8893d34", "3b60520684aaf944935b39e20a8b31063b27a25a", "400ad65e42cc438eb7a587cff750648eca91d513", "09ba6b87736fa29aae88c5b4cf30f25188e4c6ef", "548d25088fd4acf71764f9c5d0c01901a13e6eed", "92799a9754a9481e3e90aa59dfe56e9b21b70cfc", "2ed9a69ee6509c0b3fe5a51d1116dccc877653ba", "ac86ccc16d555484a91741e4cb578b75599147b2", "dd320b262e7891c6e51b34e213aa0ccb14af3ecb", "7b9b7c42151c11c7cd170a528412a84b5ab626ca", "70755fffb5e42b10bc2aba2446ef2063af92da96", "fb3da9b47460eedf857e386a562cc5348d78d544", "bec26ea7335ed723a1c4360d6365f2dd846161e7", "3a415f3fc013bf3d045d9a45c7ed5d83996f4556", "179ae598004d76c56dcc95c5aab3419ec8996af1", "d7c279661dcb2c83ee63f149db3be7f0771237f5", "4da3b3888a74365fead3057f34d986c0a439fb84", "032707da24e5486d0bc319259ae8a8409a19a2f0", "cb124b7019f6c1d2b25d8a18a51d78cd12b511be", "24ddb628035b32fe0b412a11b09512b4612d8fe0", "a4bb791b135bdc721c8fcc5bdef612ca654d7377", "7a7b84b8d8c1edb07f16180ef2c243ef30d85e1d", "b4a09b6a7c78c3d54a0ce59ae3ebb6d4ebfd7d06", "22f44121a6de3ff942c5fbf4ab1d6734315baf66", "af9bca1ac3900182afae03f500618fc40da9ff87", "047f8d5d5134dd12c67038623417f05ab9885056", "da1ba46027b7236c937d276fb54e99906036c4ef", "03650399cbf53d916d10a507852c9e94a02ee13f", "6236962ce0d627fc23774f0680e77069b9667803", "b8556e7ace156cee0199c057c5bf6eacaae45e7c", "199d4e49f959a6d77da6054ddba7ea328d5acbb4", "8bfec7afcf5015017406fc04c43c1f43eb723631", "a760ce8baddf2da7946d2ed6f02ac3927f39a9da", "59b2edf39e0490892d8865b8252bd7f11e2b2228", "6372262685162f3f11ef7ac1882c327e98564875", "04b29b6f1210f4309f3d5ab9e6bd2c8a026ce244", "5865c3aae2125e1078d3d1b230e7206dcada16b3", "97a611717ddcb13a6fb5f19ebbc96dd005ed4887", "5c9e708d60db41727ebc2174bcd99fe838c21a29", "0c79485f64733bd128ef8c395034b6bc77abf94d", "639937b3a1b8bded3f7e9a40e85bd3770016cf3c", "0eb7a91ff9ce61ff22a7e410934402f0b70fd8a2", "74dd7f66c26219901e8937910996f0003fc718c6", "d0500d15ee605ae404d4a8d54dc38ed5b39f3832", "e224d8fd66e3594cf27bcd06cc2ed25fc4419b7f", "827f6ddae388c9ee727cb7d91fb276f774ee4cc9", "ac2e44622efbbab525d4301c83cb4d5d7f6f0e55", "33867c617e9f264c9e857d73358e0fd5b60a149a", "4115652b7fad7a474b5af1f4c063b1f9717b1bf8", "1328c0a8a357b303f6e853581360370ef2975612", "c6badb2cc1191f9dd5e5bea7df75a76349176d01", "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "3d53493916cdf49ba29aebef955ab6b32a05762f", "2aec012bb6dcaacd9d7a1e45bc5204fac7b63b3c", "beae35eb5b2c7f63dfa9115f07b5ba0319709951", "1ab7d8da096c418c0bf93de14d128eb008a92db4", "02977d45f759bb913aa9fd32f415e826b788ffd5", "f3f65a8113d6a2dcbc690fd47dfee2dff0f41097", "cfb1b2006d24a81bc3f489ca0eb391e7f03788d6", "2c7c3a74da960cc76c00965bd3e343958464da45", "646eb6e19d2d0c858d71d3d810f4642cfaa130c2", "fd4fab290541b621ed27773e191472b0dcb225cd", "630d2c5b60e28ff8710f415a8adb7a73f8162d9c", "34ed02e82e9816e7491b1af9f6f65d7fff87ff84", "3f9210830e31f42103c6550f75cb37fde18e5af1", "fd8168f1c50de85bac58a8d328df0a50248b16ae", "b63246b95d5711486ddec96c214316f885a52b18", "6efa147457e1ce984f6418d219e14d94ef6cfbce", "761f2288b1b0cea385b0b9a89bb068593d94d6bd", "bbe91ef3ec4303d77a3847aa18fe5d9ef2739566", "0f03f1bb36fc1b3ce49d777203961689456b311b", "037aeb661eb8018ae8dd92cc0b4029231dffc60b", "7697c8a0eea8b4f7e9b5c3378879cf34ba6d79b3", "31bb49ba7df94b88add9e3c2db72a4a98927bb05", "951b133220921ce04e9da9d189077124be2b9af1", "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "88af2da57863b60ddd3776d61113b552e827d3b8", "e934a2ea5d56284b41f4c9d791dd5f77541ae1ef", "773b8f5efcc972676784a572d1217bc9d9b2a5a7", "c4b878bc74921dbc8f6cb133ce6bffb5a50668ef", "2acf7e58f0a526b957be2099c10aab693f795973", "587c47130af6b65c30861a18fbecab66aa0f9ba6", "c5b2d166f77f072dfbbbd538729bf7ac11f4094d", "4c6cc339d1ef9cedcee85ad4bab0ca687ef39bda", "44241248f16c172a1c2fb90e48fd728ba26220fc", "a1b6aed0b998f0e6e049fcc209287c8b2801d054", "0e677f2b798f5c1f7143ba983467321a7851565a", "47aeb3b82f54b5ae8142b4bdda7b614433e69b9a", "325d5606c874bfc3b652d7924e2d7bedcca3d96e", "ef57b2b689cb91e0c7f9f9a2691c340349d9b2d4", "ce094eb72aa42dea87ed9ab531ea31aa0a9561fb", "ae2ee60219d63475c56fcb6c3f2b3664b3c4dbd9", "4e6e5cb93e7e564bc426b5b27888d55101504c50", "438b5bbeb86d31bb4ce32962c735af098d035a79", "820b0a63599208bca29c6d2ceed4bfb38e8860d4", "a6075b621cf11b967f1cdc64de854ff96dc04f66", "eb02daee558e483427ebcf5d1f142f6443a6de6b", "4189b1e61a4f244acb05b34c46628b7e78a8b8cb", "55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c", "117c7cf24b9310ed785ef6fb84e95c73186f61e6", "004ec53d1f12cc4c0a7c809bf3b7acaee2180fd9", "bf1ebcaad91c2c0ed35544159415b3ad388cc7a9", "22b1b97a0722621ae72fb3b33f76226b73549ea1", "7e52732900d509ba38f5a65408d800c6dff94157", "e351beaa000aa5875d00fef12eb14e1cb91530bf", "033e517804afb183a32a5b916e79733968a468d7", "79b684396347d916c4a488f2024212ec9f4eff0b", "ff8315c1a0587563510195356c9153729b533c5b", "792928e5e539dfbba334c36bee337449c4918d6a", "ad1679295a5e5ebe7ad05ea1502bce961ec68057", "9585dabdb01406684c516f07aba686fef77edfa1", "4ed4143034fc6303737c7ad5118a72d9a5d12cf2", "099053f2cbfa06c0141371b9f34e26970e316426", "a5ae7fe2bb268adf0c1cd8e3377f478fca5e4529", "6d60c427036e63957f1ce72930146964c5743749", "4104eccb9288a35cb3d00e29a9bf0d6282608d4d", "46398e772f13492d9b9db642d7dad3d904054b07", "0676f7586319d5feeb3fc64137bf49aa75d6b2c0", "c521e8efdfd4a70e1987dbcea28507cce1bc2637", "da23d90bacf246b75ef752a2cbb138c4fcd789b7", "18aaeaba26d95482fc40d560c49f0a7f22ea0870", "4e5be940b2b58247fd90552b4a2a72b841ed03e1", "b88771387d5c0f09ea9a2ccc743b11471fb257b4", "ce3304119ba6391cb6bb25c4b3dff79164df9ac6", "e9a3399f3e8c28747db0fd418c5dfa1cef5c9243", "e2643e9e6d2536b6a6d2a843f40ec601fb87221b", "6295f5a59c528953f282df71e4d0646ee2b4b50e", "75d7356d26995263dd035959709991e597c94b5f", "5f676d6eca4c72d1a3f3acf5a4081c29140650fb", "e054919d68b963bf484b5c9f5c73aa834018736b", "449b87347fe7f9c3f17e969fab1617fbfd9ccb1b", "673f17802bb99766407c70804c17357c3c448b6f", "47662d1a368daf70ba70ef2d59eb6209f98b675d", "7a7b386385ec5a458c6d45f58c399941c2f054d6", "1330847470ccad3d47a09c70c76de2913f414695", "6ffdbac58e15e0ff084310b0a804520ad4bd013e", "a0067d23456c74d4bef5a8bef5bbe3c92e29c314", "f76a04bdc43f1e440b274b299b07ce2e423431e6", "4fac09969ee80d485876e3198c7177181c600a4a", "25d514d26ecbc147becf4117512523412e1f060b", "f4af5f676a5f2f5f66023542eed6f27b63265491", "026b5b8062e5a8d86c541cfa976f8eee97b30ab8", "54fc3551b3b08767d5d731092f10ba4573a2c822", "4688787d064e59023a304f7c9af950d192ddd33e", "fadf0c7271c560587172144d2f11cb721957b219", "fbbb73b476639b89b5a0f400251fe33c4fec4f6d", "45bedfcb562e48a64436ea3131bc91098eb93dab", "77eba8289e257df835e16ce8e0919acebd02f7e4", "5431845cc36d8d0fbd489e6921a341fe2e654246", "eba31ad9871c6dd5c2e7c62a121bbb417dcb1223", "3acfbc2aee9b2ed246a640930ebc2e350621f990", "67af3aed0deb70eb0fcc089c47f15adfb8f637ee", "0d2a9f3357717e0a44eb82d5eabfc047cc4d46f1", "f294278e03868257bfce132b8cf189359ada915a", "9ff1a4754391a5cf91c998eeaf75b93a4f5f2451", "4b5dd0a1b866f928734bc36afd597adca20a7ec1", "28bd795c580ca24f40dc82cd01d9d277749d2661", "9f1319162974cb4d6125e8c6c52878ebc48eb8a7", "483f85e1ebef9d10a951b3c01751892aca92a2c2", "7f6a527a3dc2e526aa59a57cadb20ff727124973", "7b9a5d9d7386d47c51cb473f6338988bd6e9f2b1", "63c7c0511e82172b6b60af21e56df68e2c6ab228", "527ed756eba3bc77eb58d22d4cfe27da04d3bbbb", "787c1bb6d1f2341c5909a0d6d7314bced96f4681", "08f6ad0a3e75b715852f825d12b6f28883f5ca05", "7831ab4f8c622d91974579c1ff749dadc170c73c", "9151f8f0af49d8c94ba6f6ca13e9399beab7ecd7", "a34582457b10b3627c853002c85afb434ac8e9ec", "d781a60f7090222631c555b87da02ced570caabe", "8d2d27753d316494574c4e8ac51190921e0765bb", "4793f11fbca4a7dba898b9fff68f70d868e2497c", "60ab5c64375c4f5f8949a184fd9bfb68778ae6ea", "acec6d7d24e07fccd1a2ef3b6268bf3f8934f7ac", "65e19cd4f848451758f23779fd86ba7f12f18ea0", "2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d", "7dc62564a31cde5f581df4891785708eeec65d2a", "891dcefdcc89a6e5784393d5ec550ecd75ce1cda", "35457de70ea13415b8abd3898a4a83021946501f", "720518359b98ffda2c0eb6b62a2a18d9b47ad5db", "af057d399c41910aef723cede855ff15216df303", "6b43bd8eb478d9f3b4e64907070b93b4c70750b3", "0185bbb0f45bea11210689543fec253e87abde82", "5aae9e5a7a1083fda72023dc2c34f406f4cce866", "0f92f0cf1fb1d37f7f723892976ca61419768995", "4a7facf4bff5a2e14f59ececaa6bfe75d04f2171", "08c66211b17a0ac7cad53995b15b0098cad8135a", "9bd8fe15e5f6ac46e2815d1105f64aba1d8d76cb", "4563b46d42079242f06567b3f2e2f7a80cb3befe", "6e173ad91b288418c290aa8891193873933423b3", "1f3ae376b22136a2fe2e96632d4383653a42e4d4", "ff946df1cea6c107b2c336419c34ea69cc3ddbc4", "242ae7b1b1c3e1aafcbe9cef3cb23918c6f94f2c", "45c31cde87258414f33412b3b12fc5bec7cb3ba9", "0fd1715da386d454b3d6571cf6d06477479f54fc", "72d110df78a7931f5f2beaa29f1eb528cf0995d3", "a703d51c200724517f099ee10885286ddbd8b587", "5db075a308350c083c3fa6722af4c9765c4b8fef", "35a39c7da14b1d288c0f9201374b307f667d63a3", "82c303cf4852ad18116a2eea31e2291325bc19c3", "72160aae43cd9b2c3aae5574acc0d00ea0993b9e", "b43b6551ecc556557b63edb8b0dc39901ed0343b", "adc4bc7639d5f1c5ead8728882e2390339d061ed", "72a3bb0fb490355a926c5a689e12268bff9ff842", "0eff410cd6a93d0e37048e236f62e209bc4383d1", "43fca653880f4e4d238c73d864e964475e4b90c8", "7918e3e15099b4b2943746e1f6c9e3992a79c5f3", "cb8382f43ce073322eba82809f02d3084dad7969", "b2129f9f04dd026a8e2c07b1c5ef51ce5046c781", "02e668f9b75f4a526c6fdf7268c8c1936d8e6f09", "0b0eb562d7341231c3f82a65cf51943194add0bb", "05c91e8a29483ced50c5f2d869617b80f7dacdd9", "8f99f7ccb85af6d4b9e015a9b215c529126e7844", "42e155ea109eae773dadf74d713485be83fca105", "363ca0a3f908859b1b55c2ff77cc900957653748", "e0cc2a9fe6b5086c55fdbf0021aca3dc1a77a1ca", "55c46ae1154ed310610bdf5f6d9e7023d14c7eb4", "5ce2cb4c76b0cdffe135cf24b9cda7ae841c8d49", "88535dba55b0a80975df179d31a6cc80cae1cc92", "15840cd73e6df528d077f3b64c0e88c7cc4281a7", "40c9dce0a4c18829c4100bff5845eb7799b54ca1", "fadafdd7dedd2bdd775b4591a998c8b5254081e1", "e7906370eae8655fb69844ae1a3d986c9f37c902", "50eb2ee977f0f53ab4b39edc4be6b760a2b05f96", "142b0b0e30725263122460539cceada4d33833b2", "3006988730d2e798e58b5081a50b7f0d43030c9c", "32df63d395b5462a8a4a3c3574ae7916b0cd4d1d", "f59c58b446e3f2eca4147241a64c051311a7c57a", "205af28b4fcd6b569d0241bb6b255edb325965a4", "91d0e8610348ef4d5d4975e6de99bb2d429af778", "23ecc496eaa238ac884e6bae5763f6138a9c90a3", "5c02bd53c0a6eb361972e8a4df60cdb30c6e3930", "27289ad80d685bdb38823030fb73a5b894ac4cba", "37ef18d71c1ca71c0a33fc625ef439391926bfbb", "ee6e4324123b99d94a7a23d9bddf026f39903693", "838a4bcfeb36dc7bdb4a38f776fc0a70ce8ae9f0", "5042b358705e8d8e8b0655d07f751be6a1565482", "43bb20ccfda7b111850743a80a5929792cb031f0", "3749eb18758e0f8e97b086e6b36a98fda6e6f945", "b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807", "11f8d0a54e55c5e6537eef431cd548fa292ef90b", "7c119e6bdada2882baca232da76c35ae9b5277f8", "27cccf992f54966feb2ab4831fab628334c742d8", "0cbc4dcf2aa76191bbf641358d6cecf38f644325", "70e79d7b64f5540d309465620b0dab19d9520df1", "f740bac1484f2f2c70777db6d2a11cf4280081d6", "0322e69172f54b95ae6a90eb3af91d3daa5e36ea", "0708059e3bedbea1cbfae1c8cd6b7259d4b56b5b", "141768ab49a5a9f5adcf0cf7e43a23471a7e5d82", "61831364ddc8db869618f1c7f0ad35ab2ab6bcf7", "cfdae1410575937f8557cbd379a6232974128d63", "64102c217cba63a89cd2227dc4b3a9ed2104b73e", "f4465454811acb2021a46d84d94fc88e2dda00a6", "fe14d8177cbdb7e5b4085302e6e044f7a4c19cb2", "4c1249da3de9f31b2280af171e910f02e7ca5153", "4c815f367213cc0fb8c61773cd04a5ca8be2c959", "924b14a9e36d0523a267293c6d149bca83e73f3b", "57d37ad025b5796457eee7392d2038910988655a", "4414a328466db1e8ab9651bf4e0f9f1fe1a163e4", "e496d6be415038de1636bbe8202cac9c1cea9dbe", "ecca2a2b84ea01ea425b8d2d9f376f15a295a7f5", "9e99f818b37d44ec6aac345fb2c5356d83d511c7", "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "bddc822cf20b31d8f714925bec192c39294184f7", "aac900e572423cd0f10ae22cb87f610cdee607a7", "c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0", "8c37bd06e1a637c6f249dcd1d2c4bc9589ae24b3", "a75edf8124f5b52690c08ff35b0c7eb8355fe950", "bc866c2ced533252f29cf2111dd71a6d1724bd49", "fc0897608840ed17f862dbeb8f32540adbda359d", "e7997e1d0c199f810a16d71f235e8c95ce9c1353", "bd0201b32e7eca7818468f2b5cb1fb4374de75b9", "e59813940c5c83b1ce63f3f451d03d34d2f68082", "9c2f20ed168743071db6268480a966d5d238a7ee", "3c7825dcf5a027bd07eb0fe4cce23910b89cf050", "e3a70f8ee84af6372b482c0b8b6e8e553dd0e1e5", "948f35344e6e063ffc35f10c547d5dd9204dee4e", "bf4fcd80083f3145176b64d15bab78456a7e5e43", "be8c517406528edc47c4ec0222e2a603950c2762", "f1d090fcea63d9f9e835c49352a3cd576ec899c1", "7825708552c86079d0d11f48033ced391c0754ce", "0ec67c69e0975cfcbd8ba787cc0889aec4cc5399", "e8f4a4e0fe0b2f0054b44b947828d71e10ec61a7", "03167776e17bde31b50f294403f97ee068515578", "0d9815f62498db21f06ee0a9cc8b166acc93888e", "7887824e9cc42914165dd3d96b956bff7560e4e4", "638e0d6f9f5d714d8a0edcf65297e8735b30db71", "97463b5a0fef72a576367f55d46aa3eb7576ae01", "5642bafa7955b69f05c11230151cd59fcbe43b8e", "383ff2d66fecdc2fd02a31ac1fa392f48e578296", "d0a21f94de312a0ff31657fd103d6b29db823caa", "96ab0367d0112b6092cc130c330c8c11c2eb8238", "4ffd744a5f079c2d65f36e3ee0979b978f522a13", "5911dcef05ffec02cc1dd88ec6feb1f1e0e8bdcb", "4e4a47e2d285e55f3d0b6d449d6b9893615db5cd", "2d2fb01f761d21a459cfb34935bc47ab45a9913b", "857f33a90e843569f3a2b7537f1783c4c3f2710c", "41781474d834c079e8fafea154d7916b77991b15", "3f63f9aaec8ba1fa801d131e3680900680f14139", "d9218c2bbc7449dbccac351f55675efd810535db", "3e76496aa3840bca2974d6d087bfa4267a390768", "751b26e7791b29e4e53ab915bfd263f96f531f56", "7ed5af241061a6d88e0632a51a91d59627b00c34", "29c7dfbbba7a74e9aafb6a6919629b0a7f576530", "5821ef33b714c76337e9d1605bba3a578061d1a9", "a1a5143a962ab3dc6f2a0d5300cde71d9f087404", "e4d0e87d0bd6ead4ccd39fc5b6c62287560bac5b", "dee36d438d7dcb5923ab63dfe1e8676726dd4d69", "a125bc55bdf4bec7484111eea9ae537be314ec62", "2a7bca56e2539c8cf1ae4e9da521879b7951872d", "c2c5206f6a539b02f5d5a19bdb3a90584f7e6ba4", "1b79628af96eb3ad64dbb859dae64f31a09027d5", "6ee64c19efa89f955011531cde03822c2d1787b8", "d8bf148899f09a0aad18a196ce729384a4464e2b", "8b2704a5218a6ef70e553eaf0a463bd55129b69d", "58b8588c01196070674ceabe5366b20f73c2912d", "561bbc758f995894f43351b4267abf9748890705", "f78863f4e7c4c57744715abe524ae4256be884a9", "b050587444b41292b046bb6ef1e92d8c09a26760", "1cb6fa2e58cbbd4b289f5d897be1416e90d886c0", "332b1250eb38575b4768bb6036369abc1d48ea25", "f781e50caa43be13c5ceb13f4ccc2abc7d1507c5", "a92e24c8c53e31fc444a13bd75b434b7207c58f1", "288dbc40c027af002298b38954d648fddd4e2fd3", "6ed738ff03fd9042965abdfaa3ed8322de15c116", "6345c0062885b82ccb760c738a9ab7fdce8cd577", "fa9610c2dc7e2a79e0096ac033b11508d8ae7ed7", "4aa8db1a3379f00db2403bba7dade5d6e258b9e9", "79fa57dedafddd3f3720ca26eb41c82086bfb332", "f8ec92f6d009b588ddfbb47a518dd5e73855547d", "324acb08d73ebad775f784dae3434c43a898e46a", "3a6334953cd2775fab7a8e7b72ed63468c71dee7", "8ccbbd9da0749d96f09164e28480d54935ee171c", "48de3ca194c3830daa7495603712496fe908375c", "831a64f59944fa05f023288f284325429026e4e8", "6d618657fa5a584d805b562302fe1090957194ba", "858901405086056361f8f1839c2f3d65fc86a748", "9faeb2f8cd7e1deac432ab8e4294cd504976a293", "10550ee13855bd7403946032354b0cd92a10d0aa", "41f195f421b548357088c2985077d6b14003ce7e", "7f268f29d2c8f58cea4946536f5e2325777fa8fa", "b6c00e51590c48a48fae51385b3534c4d282f76c", "3f4bfa4e3655ef392eb5ad609d31c05f29826b45", "ba09dd1844427cff803082dda7366bd966456932", "a35f0515a98a4f37a14a4954240ba09a91017730", "6159908dec4bc2c1102f416f8a52a31bf3e666a4", "6b4fec3211b86abb89cf0d2d8b8454e63e9120d6", "4d83a25931ff8f73130a4d07e0209fcb3191db4b", "bf1e0279a13903e1d43f8562aaf41444afca4fdc", "bcd00d9a2c97db0f9970a57f51dc948822a9b854", "3fac7c60136a67b320fc1c132fde45205cd2ac66", "405cf40f3ce74210f7e9862b2b828ce002b409ed", "982f5c625d6ad0dac25d7acbce4dabfb35dd7f23", "339937141ffb547af8e746718fbf2365cc1570c8", "1ad780e02edf155c09ea84251289a054b671b98a", "43bb2b58f906262035ef61e41768375bc8d99ae3", "87552622efd0e85c2a71d4d2590e53d45f021dbf", "1134a6be0f469ff2c8caab266bbdacf482f32179", "176f26a6a8e04567ea71677b99e9818f8a8819d0", "081a431107eb38812b74a8cd036ca5e97235b499", "237eba4822744a9eabb121fe7b50fd2057bf744c", "f3fed71cc4fc49b02067b71c2df80e83084b2a82", "9fb701dd40e35a6abc973b6d89a455de45dd8616", "7935f644c8044c0d3b81e2842e5ecc3672698bbb", "20a0e5eb52717c389103b7fc925f9d4986654a8b", "0d7fcdb99dc0d65b510f2b0b09d3d3cfed390261", "3ce2ecf3d6ace8d80303daf67345be6ec33b3a93", "cd3005753012409361aba17f3f766e33e3a7320d", "2045fe2f21c30f364d6e699ea0bf0ea21d7f460e", "367a786cfe930455cd3f6bd2492c304d38f6f488", "9753ee59db115e1e84a7c045f2234a3f63f255b1", "d19df82c5ea644937bf182fabdc0e36e78ea6867", "0ed4b4d6d1a0c49c4eb619aab36db559b620d99f", "0c66d6162695ecbfc248074f58ced10d70a359ac", "789b8fff223b0db0fe3babf46ea98b1d5197f0c0", "eb309b11fd2b8d28cbaf7a72a49df14630ed696a", "75908b6460eb0781130ed0aa94585be25a584996", "54975ca3ce990b0e9040395e0597dfa17a12d3a0", "3409aa0ae519ee18043e347e60d85e53e452650a", "5c473cfda1d7c384724fbb139dfe8cb39f79f626", "acff2dc5d601887741002a78f8c0c35a799e6403", "d7b8f285b0701ba7b1a11d1c7dd3d1e7e304083f", "4263f2c81a8b79f637c3fdf432a9b1e58e1c25e5", "dae1726852228b9c3c2b45f440f38f904747e40f", "0580edbd7865414c62a36da9504d1169dea78d6f", "857544746a1d1071739d98718df51936a3488737", "e5eb7fa8c9a812d402facfe8e4672670541ed108", "c49aed65fcf9ded15c44f9cbb4b161f851c6fa88", "9c81d436b300494bc88d4de3ac3ec3cc9c43c161", "6eee2b2c85617f819bd6145d1dcb16c9bd283ed4", "312b2566e315dd6e65bd42cfcbe4d919159de8a1", "bc73a228e03bb2409098ea69e68fc094de1bc02c", "e88364a478c8e2278b1aa5c4d7d539562c059549", "cc713a92d8a3aff6f1586923ca9ba267d5e89251", "d65b82b862cf1dbba3dee6541358f69849004f30", "0cc96359b1edba28d33fe9e663079c5674744672", "6ca7a82ec1c51417c4f0b8eebddb53a73a3874b1", "d893f75206b122973cdbf2532f506912ccd6fbe0", "b20d921628bed754c39cf25786255d20d9ccd3a1", "512befa10b9b704c9368c2fbffe0dc3efb1ba1bf", "7081958a390d3033f5f33e22bbfec7055ea8d601", "0abc13166e4a098fc34d4c708f3349fdd8f6f4c6", "f545b121b9612707339dfdc40eca32def5e60430", "3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8", "cef6cffd7ad15e7fa5632269ef154d32eaf057af", "ab1dfcd96654af0bf6e805ffa2de0f55a73c025d", "289d98ae254a64f549619c77e974c99cd1e4fe8a", "798e58c181f3ba3aecbe41acd1881860c5e2df3a", "00d931eccab929be33caea207547989ae7c1ef39", "fae83b145e5eeda8327de9f19df286edfaf5e60c", "b89862f38fff416d2fcda389f5c59daba56241db", "8706c3d49d1136035f298041f03bb70dc074f24d", "e26a7e343fe109e2b52d1eeea5b02dae836f3502", "96ec76d2579a3b877019e715da58d8c47d343399", "d7c87f4ca39f79d93c954ffacac32bc6eb527e2c", "b85b754ace15f4e9bee4ee76296580ddfbc3a11e", "90f4b20f4b7115cb84dda22e5e4eb9c50d7fddce", "e0bfcf965b402f3f209f26ae20ee88bc4d0002ab", "0cb7e4c2f6355c73bfc8e6d5cdfad26f3fde0baf", "fb3aaf18ea07b30d1836e7cf2ab9fa898627fe93", "2a9b398d358cf04dc608a298d36d305659e8f607", "6dcf6b028a6042a9904628a3395520995b1d0ef9", "86f8e6310d114bb24deb971e8bc7089df6ac3b57", "7f59657c883f77dc26393c2f9ed3d19bdf51137b", "352c53e56c52a49d33dcdbec5690c2ba604b07d0", "8d3fbdb9783716c1832a0b7ab1da6390c2869c14", "eb3c45e78acee0824c8f7d997c6104d74e7213a8", "70d2f5e897086b8d3914f8fa1d9e479d71597e96", "681d222f91b12b00e9a4217b80beaa11d032f540", "c696c9bbe27434cb6279223a79b17535cd6e88c8", "3753b9fcf95b97e2baf952993905cd6dfa8561cb", "f6311d6b3f4d3bd192d866d2e898c30eea37d7d5", "0d735e7552af0d1dcd856a8740401916e54b7eee", "aa587e0d5f992f88eeb345b92459cdf730daa57b", "824f20de33febe3f0b19276cb7cdd25cb1e789b7", "455204fa201e9936b42756d362f62700597874c4", "39f59570ed9065d100745617a7e0a9dd4bb072f1", "650bfe7acc3f03eb4ba91d9f93da8ef0ae8ba772", "d44ca9e7690b88e813021e67b855d871cdb5022f", "403a108dec92363fd1f465340bd54dbfe65af870", "7975f12187a7686d861054649845ccc634c3b00f", "f6f2a212505a118933ef84110e487551b6591553", "41b38da2f4137c957537908f9cb70cbd2fac8bc1", "d4ec62efcc631fa720dfaa1cbc5692b39e649008", "fcb276874cd932c8f6204f767157420500c64bd0", "b7128e0fe18dcb42e8a2ac5cf6794f64a8e37bd0", "da54a3d6dc5827abba96edf5ec1e6791ad05760b", "fe50efe9e282c63941ec23eb9b8c7510b6283228", "33a1a049d15e22befc7ddefdd3ae719ced8394bf", "ec28217290897a059348dcdf287540a2e2c68204", "f18ff597bbfca10f84d017ac5e1ef0de6d7ad66c", "b331ca23aed90394c05f06701f90afd550131fe3", "9f6d04ce617d24c8001a9a31f11a594bd6fe3510", "ae62c0a4b74ce672e8103dbf6d344d82c59f216c", "66533107f9abdc7d1cb8f8795025fc7e78eb1122", "e4bf70e818e507b54f7d94856fecc42cc9e0f73d", "2983efadb1f2980ab5ef20175f488f77b6f059d7", "b33e8db8ccabdfc49211e46d78d09b14557d4cba", "5fd66fd2286f78ec5b9d392273394c6ca61df7fa", "72ffcc5b654b2468b9eff761279b29164f1df5d9", "c27f64eaf48e88758f650e38fa4e043c16580d26", "5094347095af408a9be84b1538bc049bdcdb343a", "52c59f9f4993c8248dd3d2d28a4946f1068bcbbe", "4735fa28fa2a2af98f7b266efd300a00e60dddf7", "158e32579e38c29b26dfd33bf93e772e6211e188", "516f784f145390e22cb4607cb525175ff4c7109b", "0aa9872daf2876db8d8e5d6197c1ce0f8efee4b7", "bebb8a97b2940a4e5f6e9d3caf6d71af21585eda", "cf6851c24f489dabff0238e01554edea6aa0fc7c", "6011a12917bf91b10084de99ddd2908714b1ba96", "2564848f094f7c1cd5e599aa907947b10b5c7df2", "1aeb7bffb66e278b4b859538a70790bbe2fc9cdc", "2b43100a13811b33cc9f905fa1334bfd8b1873ba", "b313751548018e4ecd5ae2ce6b3b94fbd9cae33e", "c175ebe550761b18bac24d394d85bdfaf3b7718c", "9294739e24e1929794330067b84f7eafd286e1c8", "83ac942d71ba908c8d76fc68de6173151f012b38", "59e75aad529b8001afc7e194e21668425119b864", "8b6fded4d08bf0b7c56966b60562ee096af1f0c4", "b728e7db6e5559a77dc59381bfb8df96d482a721", "9fc5c067559b705c681bf5e344a0b780b4d87412", "33b61be191e63b0c9974be708180275c9d5b3057", "b865652add14e5455cc3577cffcf439d12961ad3", "d7bd37920a3a4a4d681151131e23a839695c8d5b", "60bdff71e241f9afc411221bd20aaebb4608576b", "ad50f6899103eff0ee4504e539c38eb965fd1309", "a33f20773b46283ea72412f9b4473a8f8ad751ae", "0badf61e8d3b26a0d8b60fe94ba5c606718daf0b", "5f453a35d312debfc993d687fd0b7c36c1704b16", "96e0b67f34208b85bd90aecffdb92bc5134befc8", "298f618aadaf65869c9825213d5933eb560b347b", "ae1de0359f4ed53918824271c888b7b36b8a5d41", "df5fe0c195eea34ddc8d80efedb25f1b9034d07d", "819c93dfe531ad6aba71cd48942c9e07b7a89b1b", "3a49507c46a2b8c6411809c81ac47b2b1d2282c3", "c5f1ae9f46dc44624591db3d5e9f90a6a8391111", "2d2572f46e4d7e017e4bf40a6571928465fa1350", "d522c162bd03e935b1417f2e564d1357e98826d2", "8eb708d86d9e6b9779593f0ab60df39a6adb6398", "763b60feaabceebbe9eddfbaa0378b8b454327aa", "9101363521de0ec1cf50349da701996e4d1148c8", "39ce2232452c0cd459e32a19c1abe2a2648d0c3f", "b71d1aa90dcbe3638888725314c0d56640c1fef1", "053ee4a4793f54b02dfabde5436fd7ee479e79eb", "9774430006f1ed017156b17f3cf669071e398c58", "7ab238c23c6640fe0b23d635d6b5fc38fa4a3b46", "757e4cb981e807d83539d9982ad325331cb59b16", "6733adb12458678c606759233f6f55782bace372", "055530f7f771bb1d5f352e2758d1242408d34e4d", "77db171a523fc3d08c91cea94c9562f3edce56e1", "04f55f81bbd879773e2b8df9c6b7c1d324bc72d8", "d569c3e62f471aa75ed53e631ec05c1a3d594595", "5613cb13ab381c8a8b81181ac786255705691626", "796e5cd7913665dc5f2a228817911432e1916d12", "6def8656831687bc9790015931bccf884e38358a", "256ef946b4cecd8889df8d799d0c9175ae986af9", "f935225e7811858fe9ef6b5fd3fdd59aec9abd1a", "de00e46b834a1f6263142b8de19f51be44e667eb", "d09fd7e0bb5d997963cfef45452724416b2bb052", "874da338c01fb7a87d605fcde6c52835eee03d5e", "111a9645ad0108ad472b2f3b243ed3d942e7ff16", "a6f81619158d9caeaa0863738ab400b9ba2d77c2", "99e0c03686f7bc9d7add6cff39a941a047c3600a", "4e1836914bbcf94dc00e604b24b1b0d6d7b61e66", "dc550f361ae82ec6e1a0cf67edf6a0138163382e", "8b4124bb68e5b3e6b8b77888beae7350dc594a40", "ae73eb7ab8ceef75f99380b3a4a4d739f89fc946", "e1c59e00458b4dee3f0e683ed265735f33187f77", "2d25045ec63f9132371841c0beccd801d3733908", "3db6fd6a0e9bb30f2421e84ee5e433683d17d9c1", "18dd3867d68187519097c84b7be1da71771d01a3", "831226405bb255527e9127b84e8eaedd7eb8e9f9", "86d1fbaecd02b44309383830e6d985dc09e786aa", "62f60039a95692baaeaae79a013c7f545e2a6c3d", "32ced1e29df77b269c338827fd1477da36482c83", "e51f1ee5535017e10a5f77100ff892509ec6b221", "583e0d218e1e7aaf9763a5493e7c18c2b8dd7464", "6316a4b689706b0f01b40f9a3cef47b92bc52411", "7c9a65f18f7feb473e993077d087d4806578214e", "41971dfbf404abeb8cf73fea29dc37b9aae12439", "6ee2ea416382d659a0dddc7a88fc093accc2f8ee", "3f623bb0c9c766a5ac612df248f4a59288e4d29f", "60284c37249532fe7ff6b14834a2ae4d2a7fda02", "1a71f9af98228f4d2b15cfaf415321813e29b087", "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "0dd86db7970caf6614965770e0143864b1d733fc", "978a219e07daa046244821b341631c41f91daccd", "9eeada49fc2cba846b4dad1012ba8a7ee78a8bb7", "9990e0b05f34b586ffccdc89de2f8b0e5d427067", "68996c28bc050158f025a17908eb4bc805c3ee55", "86bbead2fb5b77ceff7994be9474648672f244d9", "71a9d7cf8cf1e206cb5fa18795f5ab7588c61aba", "75e9a141b85d902224f849ea61ab135ae98e7bfb", "022ec7d1642727b2cc3d9a9d7999ca84a280443f", "fa72e39971855dff6beb8174b5fa654e0ab7d324", "bc31c7df14d8e9b8e5c97db6cac66dda4ead1440", "c7685fdbee2d96ef056a89ab4fa43df5aeae7ba7", "4bfbe296cdc53c03ddb416d540242e1e2771d770", "9aba281955117eb4a7aed36775f55f27e4dde42f", "9a276c72acdb83660557489114a494b86a39f6ff", "2eb645a33fb4500f41ab100ea00fd78fde1459e2", "1a7a17c4f97c68d68fbeefee1751d349b83eb14a", "6cb4c7f52fbe386a4ab06d5ca61a11d69abba0e4", "3d68cedd80babfbb04ab197a0b69054e3c196cd9", "ac2e166c76c103f17fdea2b4ecb137200b8d4703", "f8ed5f2c71e1a647a82677df24e70cc46d2f12a8", "4b9c47856f8314ecbe4d0efc65278c2ededb2738", "640e12837241d52d04379d3649d050ee3760048c", "8a12934c4cb793c6f1e40129f37847414c1cc5c0", "5b719410e7829c98c074bc2947697fac3b505b64", "e1c50cf0c08d70ff90cf515894b2b360b2bc788b", "5d44c675addcb6e74cbc5a9c48df0d754bdbcd98", "53af22c212d1209ef5c726d6ca6913f49b4c3749", "880be65e233d4302744e2154b2ef172291ee9779", "694bdadb720d4237b701a5c8c10417843ed89c6f", "bf0836e5c10add0b13005990ba019a9c4b744b06", "46a699b18994a7f013b2fc37505e000ee7c1c29a", "0f8116b631c17f7adf55df3faafc6f2c316599f6", "b3330adb131fb4b6ebbfacce56f1aec2a61e0869", "3fa3591399755c8a50c60877652ef083ca37d3b3", "02c38fa9a8ada6040ef21de17daf8d5e5cdc60c7", "3403cb92192dc6b2943d8dbfa8212cc65880159e", "b69e7e2a7705a58a0e3f1b80ae542907b89ce02e", "2138ccf78dcf428c22951cc066a11ba397f6fcef", "0eb077a3e227b19f032f980d3a3206e4ae15e429", "535bee7337ebe0ef14dd0137e0d5a186febfcbc8", "3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e", "aeb36fac7516753a14c3c690f352de78e70f8c6e", "9dcc6dde8d9f132577290d92a1e76b5decc6d755", "142e233adceed9171f718a214a7eba8497af4324", "25d3e122fec578a14226dc7c007fb1f05ddf97f7", "8184a92e1ccc7fdeb4a198b226feb325c63d6870", "8dd3f05071fd70fb1c349460b526b0e69dcc65bf", "261a839307d5f6facf7dcb1cbf7beb064c3bc044", "8a40b6c75dd6392ee0d3af73cdfc46f59337efa9", "8323af714efe9a3cadb31b309fcc2c36c8acba8f", "ea890846912f16a0f3a860fce289596a7dac575f", "1f41bf5e8b8562ac7ef0013f4d0cf1c9e1a431f9", "1467c4ab821c3b340abe05a1b13a19318ebbce98", "516a27d5dd06622f872f5ef334313350745eadc3", "dd0760bda44d4e222c0a54d41681f97b3270122b", "33ec047f1084e290c8a6f516bc75345b6bcf02a0", "cce2f036d0c5f47c25e459b2f2c49fa992595654", "f7aae7f6f9f10ee53726ebc2c77694d7593035f4", "1659ef06d59e3f575675c48dd7fbdbbc9728a178", "6cd762e7cb1301abd0ddbb265dd9c7661ffc0458", "b11df79c812ff7ea63f7c93ec8eafefc3fd04f7e", "911505a4242da555c6828509d1b47ba7854abb7a", "52885fa403efbab5ef21274282edd98b9ca70cbf", "2ac7bb3fb014d27d3928a9b4bc1bf019627e0c1a", "81146c567fa5a3c83778c1c940780d00706fa2bf", "3bf690a6e2751b23bd8ae65c2ad133b249840bf9", "5b6d05ce368e69485cb08dd97903075e7f517aed", "e198e10fc6b01e37b435f91559be67ba0e9bf40b", "1b5acd1736f18e4fa202d88a80f774c6deea5733", "c5366f412f2e8e78280afcccc544156f63b516e3", "a5b6a3234e15343d2e5417cff46c0a5f0943521e", "4a484d97e402ed0365d6cf162f5a60a4d8000ea0", "180bd019eab85bbf01d9cddc837242e111825750", "27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba", "01fbc6089029844880d532d0060d0ad3c8a33763", "8323529cf37f955fb3fc6674af6e708374006a28", "cef841f27535c0865278ee9a4bc8ee113b4fb9f3", "b8f7eb74b9b35215005fc8da64ef6d2dc31aaceb", "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "10e704c82616fb5d9c48e0e68ee86d4f83789d96", "08e995c080a566fe59884a527b72e13844b6f176", "1a03dcc811131b0b702bd5a75c54ed26cd27151a", "c043f8924717a3023a869777d4c9bee33e607fb5", "c459014131cbcd85f5bd5c0a89115b5cc1512be9", "b13b101b6197048710e82f044ad2eda6b93affd8", "8d1adf0ac74e901a94f05eca2f684528129a630a", "6cba90e81d460bb32188201a2c10622baa55015e", "334166a942acb15ccc4517cefde751a381512605", "f96b3122f66c01cb78643d7e1b412e1bae16f2c4", "c3390711f5ce6f5f0728ef88c54148bf9d8783a2", "68993fea46f4b86468e5138de9e4e49b3da5088e", "accbd6cd5dd649137a7c57ad6ef99232759f7544", "c48b68dc780c71ab0f0f530cd160aa564ed08ade", "929bd1d11d4f9cbc638779fbaf958f0efb82e603", "eeb6d084f9906c53ec8da8c34583105ab5ab8284", "5e99b49b4c5fb2a72392ea199edacd650bd122c5", "e96540252f2f83e394012d653452411efb9f744f", "5491478ae2c58af21389ed3af21babd362511a8e", "2a9793abeab9af4de860bee1a1680777b562f574", "64974a76d4bfd9b327fa378ddc1fbb7c566d9d53", "2d05e768c64628c034db858b7154c6cbd580b2d5", "e6c8f5067ec2ad6af33745312b45fab03e7e038b", "af8e22ef8c405f9cc9ad26314cb7a9e7d3d4eec2", "b3658514a0729694d86a8b89c875a66cde20480c", "98af221afd64a23e82c40fd28d25210c352e41b7", "a7a5d9a2dece15ddbab77b7ecc81294cfa1fafdb", "a5e436bb88ff28c68f981308faefd6eee48b9c8b", "1eba6fc35a027134aa8997413647b49685f6fbd1", "e726acda15d41b992b5a41feabd43617fab6dc23", "0733ec1953f6c774eb3a723618e1268586b46359", "ae7604b1840753e9c2e1ab7a97e02f91a9d81860", "c74aba9a096379b3dbe1ff95e7af5db45c0fd680", "5f380850c50bf6f0963e38885776d9d7db81d7a0", "c914d2ba06ec3fd1baa0010dcc4d16c7c34fc225", "44dd150b9020b2253107b4a4af3644f0a51718a3", "cba45a87fc6cf12b3b0b6f57ba1a5282ef7fee7a", "7f205b9fca7e66ac80758c4d6caabe148deb8581", "01729cb766b1016bac217a6a6cf24bbde19f56c8", "179545c1fc645cb2ad9b31a30f48352d541876ff", "7a8bd349ccddf6ace40dbfb62d7061e847f4b83b", "f963967e52a5fd97fa3ebd679fd098c3cb70340e", "6b06b79ad1f1907e21380083b976b24a89a0f743", "530ce1097d0681a0f9d3ce877c5ba31617b1d709", "b87db5ac17312db60e26394f9e3e1a51647cca66", "cc7c63473c5bef5ae09f26b2258691d9ffdd5f93", "c4541802086461420afb1ecb5bb8ccd5962a9f02", "5865e824e3d8560e07840dd5f75cfe9bf68f9d96", "ec983394f800da971d243f4143ab7f8421aa967c", "ba83b28ac5ce92ef8437fdd499132823f487ff83", "67e6ddce6fea17bb2b171c949ee224936d36c0d1", "f3f77b803b375f0c63971b59d0906cb700ea24ed", "047ce307ad0c871bc2c9a5c1e4649cefae2ba50d", "677ebde61ba3936b805357e27fce06c44513a455", "00af9945a3401bdad3cffa89f7e5a15660399282", "12226bca7a891e25b7d1e1a34a089521bba75731", "dab51ce14f59d552c0fc5c13b37ca64cae8d0164", "6592dcd17fc4df707020904cf5ff0927684f9f23", "3074da78949dc2d710892c66904b61d9ff684e50", "ca0363d29e790f80f924cedaf93cb42308365b3d", "bb6ac4e26499dea5bdedb05b269f40f56247b4c6", "fdb1aa2acd150e73dfd27d2601a66497292170d9", "f14403d9d5fbc4c6e8aeb7505b5d887c50bad8a4", "80a6bb337b8fdc17bffb8038f3b1467d01204375", "aae227322ac72cdf982fa8b7e3249e9ea6b05910", "b84dde74dddf6a3281a0b22c68999942d2722919", "5551a03353f571b552125dd4ee57301b69a10c46", "5bfc32d9457f43d2488583167af4f3175fdcdc03", "35265cbd9c6ea95753f7c6b71659f7f7ef9081b6", "b7eead8586ffe069edd190956bd338d82c69f880", "87610276ccbc12d0912b23fd493019f06256f94e", "272495b5d30009b9afec766b879fd1a8a65b5abb", "cc8e378fd05152a81c2810f682a78c5057c8a735", "9df86395c11565afa8683f6f0a9ca005485c5589", "496d62741e8baf3859c24bb22eaccd3043322126", "a5b9c6aa52f91092b5a8ab04ed1f7b60c0ea5260", "675b1fd2aaebe9c62be6b22b9ac6d278193cc581", "a158c1e2993ac90a90326881dd5cb0996c20d4f3", "09cf3f1764ab1029f3a7d57b70ae5d5954486d69", "2465fc22e03faf030e5a319479a95ef1dfc46e14", "9ccaa13a577b20e88420d0a4b8c9545d5560261d", "7e456e94f3080c761f858264428ee4c91cd187b2", "19359fb238888c0eb012a4ab5c6f0fa0e9be493b", "83aa049839dee19c75380a3894fd0f26fbeae28c", "44aeda8493ad0d44ca1304756cc0126a2720f07b", "1e64b2d2f0a8a608d0d9d913c4baee6973995952", "fb915bcc1623cdf999c0e95992c0e0cf85e64d8e", "d9eed86e53ce5f7cba379fe77bbefb42e83c0d88", "06ad99f19cf9cb4a40741a789e4acbf4433c19ae", "c3cfbd03efca980431e17fcbc507962377821681", "6584c3c877400e1689a11ef70133daa86a238602", "ca0185529706df92745e656639179675c717d8d5", "2e6776cd582c015b46faf616f29c98ce9cff51a2", "80e9c28c369a6c49f9dd10473c663a25dc9716d5", "9e5acdda54481104aaf19974dca6382ed5ff21ed", "c23bd1917badd27093c8284bd324332b8c45bfcf", "5a4c6246758c522f68e75491eb65eafda375b701", "3d6ee995bc2f3e0f217c053368df659a5d14d5b5", "179564f157a96787b1b3380a9f79701e3394013d", "0614cafad1b546faa7e99c67c9bda6bae2cacb5e", "2ad04707b08e9002e382def29d47496ac4ce8d7d", "cda4fb9df653b5721ad4fe8b4a88468a410e55ec", "4ac7de66841babac6b482cb54722074e2eb42079", "051a84f0e39126c1ebeeb379a405816d5d06604d", "5bb6703bc01e4f7ab7e043964ec6579ac06a7c03", "7c54240c23d42703ddc85089d167f4985614cc3a", "7851baa2ef437df7ee65c591dbe7ec01f2257ff1", "ad9cb522cc257e3c5d7f896fe6a526f6583ce46f", "9696b172d66e402a2e9d0a8d2b3f204ad8b98cc4", "14bdd23ea8f4f6d7f4c193e5cbb0622362e12ae1", "62c2d21f78fb89a11b436ab6ca9acd9abca145be", "08ae100805d7406bf56226e9c3c218d3f9774d19", "a45e6172713a56736a2565ddea9cb8b1d94721cd", "6dd052df6b0e89d394192f7f2af4a3e3b8f89875", "601834a4150e9af028df90535ab61d812c45082c", "dae420b776957e6b8cf5fbbacd7bc0ec226b3e2e", "526c79c6ce39882310b814b7918449d48662e2a9", "eedb2c34c36017b9c5aa6ce8bff2ab152e713cee", "57f4e54a63ef95596dbc743f391c3fff461f278b", "d9bad7c3c874169e3e0b66a031c8199ec0bc2c1f", "93cbb3b3e40321c4990c36f89a63534b506b6daf", "7a0fb972e524cb9115cae655e24f2ae0cfe448e0", "5dce578c8bc819592c9ec7bfab6302bbcd9a3f3d", "36b40c75a3e53c633c4afb5a9309d10e12c292c7", "9bcfadd22b2c84a717c56a2725971b6d49d3a804", "2e9e07b871e7703c60d6849282174d99977ccea7", "3652e841fcd9828f3be9b1e6ba48fa7f1714804d", "978b32ff990d636f7e2050bb05b8df7dfcbb42a1", "939f9fa056f8be445da19b43da64bd2405851a43", "429d4848d03d2243cc6a1b03695406a6de1a7abd", "998244a44f90b3b569f9c93226df70239818ead9", "19c82eacd77b35f57ac8815b979716e08e3339ca", "f0b4f5104571020206b2d5e606c4d70f496983f9", "ea3fa5e6004c0504feaa31e01b2ea19f138e9a78", "eb2fe6dae7d4f3866948569f94e6ee23efaec49e", "0cf8ea19d97fe228ba535b8ab5e7facb893fdaec", "8dffbb6d75877d7d9b4dcde7665888b5675deee1", "794ddb1f3b7598985d4d289b5b0664be736a50c4", "21ec41a6ee3c655cf54c6db659d56480fc76e742", "fba464cb8e3eff455fe80e8fb6d3547768efba2f", "a05fb74778e8bfde76cda27e4925ff20b5087889", "d8e5d94c3c8688f0ca0ee656c79847c7df04c77d", "bff77a3b80f40cefe79550bf9e220fb82a74c084", "6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9", "e9d1b3767c06c896f89690deea7a95401ae4582b", "ff45ecd750f9417c0941c2ded744569fc7a24ba6", "8bf57dc0dd45ed969ad9690033d44af24fd18e05", "34301fbf4624139a40176dbde6f5954b2df6de7b", "232a44d2d9dca00f1435ab45fa1bd3face438f92", "a76969df111f9ee9f0b898b51ad23a721d289bdc", "fad895771260048f58d12158a4d4d6d0623f4158", "dd033d4886f2e687b82d893a2c14dae02962ea70", "10e12d11cb98ffa5ae82343f8904cfe321ae8004", "d185f4f05c587e23c0119f2cdfac8ea335197ac0", "f1e44e64957397d167d13f8f551cae99e5c16c75", "8cb4aa49904d6702d9a95ace8610b415d88e3ec3", "0d3882b22da23497e5de8b7750b71f3a4b0aac6b", "78d4d861c766af2a8da8855bece5da4e6eed2e1c", "e57108607d94aa158eb22ae50540ae6080e48d4b", "81706277ed180a92d2eeb94ac0560f7dc591ee13", "c555b4655284fb31d5606e8d798393af5f701dbb", "ef02294c390e495af75bac51404dd6cf3a4391eb", "63c109946ffd401ee1195ed28f2fb87c2159e63d", "1f02bf412a82ad99fe99dc3cfb3adec9dd41eabb", "d22785eae6b7503cb16402514fd5bd9571511654", "cbba7d753caf82fd5325a1b380146fcfe0c72e32", "a935891f02cc3d6bd35a0473e3029c9446d400ac", "52012b4ecb78f6b4b9ea496be98bcfe0944353cd", "dd8d09eab82d7ec4457317d9f9427122d2ffb649", "01cc8a712e67384f9ef9f30580b7415bfd71e980", "5ab96ace21bf54625f3d18ea11801f540519bd3a", "9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc", "beb4546ae95f79235c5f3c0e9cc301b5d6fc9374", "af7553d833886663550ce83b087a592a04b36419", "27173d0b9bb5ce3a75d05e4dbd8f063375f24bb5", "43a4dd79bb26e3b722ac8bea20f5916c30599851", "feb0bd4ad219dc5005da84561b97ae53f4207440", "3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07", "bf00071a7c4c559022272ca5d39e07f727ebb479", "7eec377da62477ca42d6b86f566468962f95cfe7", "049186d674173ebb76496f9ecee55e17ed1ca41b", "dff38cac0a1004037024f0ed2a72f76f4e49318b", "8aae23847e1beb4a6d51881750ce36822ca7ed0b", "4f0bf2508ae801aee082b37f684085adf0d06d23", "84f86f8c559a38752ddfb417e58f98e1f8402f17", "628f9c1454b85ff528a60cd8e43ec7874cf17931", "cbbd9880fb28bef4e33da418a3795477d3a1616e", "3645d85ccd5bb7ce5df8d24e6ddb358eb1656df5", "1eeb39d618f5fab243dd07b955a8e0e722f6dfdb", "8f8c0243816f16a21dea1c20b5c81bc223088594", "dea409847d52bb0ad54bf586cb0482a29a584a7e", "97ea4b846be6598e2ee8e09134d1b3f966c4d0df", "6d8a7399a195023f8546846231cc032342d0c622", "363f540dc82ba8620262a04a67cfd6d3c85b0582", "cf98565a19ec05a63dbaf650660b7c3f72de7b2b", "a3a97bb5131e7e67316b649bbc2432aaa1a6556e", "59f788c69c2ce520fd6f0b80d01aca72f7f8d859", "25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8", "646c38494aa960c1c120c26619473f5968e5dc34", "b55d0c9a022874fb78653a0004998a66f8242cad", "4d530a4629671939d9ded1f294b0183b56a513ef", "3f4c262d836b2867a53eefb959057350bf7219c9", "496f3d14cf466f054d395a3c71fa2cd6a3dda61d", "c34e48d637705ffb52360c2afb6b03efdeb680bf", "f2943bd7cf4c9371d093a347bfa319d5cdabc811", "5d233e6f23b1c306cf62af49ce66faac2078f967", "0359f7357ea8191206b9da45298902de9f054c92", "1ef5ce743a44d8a454dbfc2657e1e2e2d025e366", "64782a2bc5da11b1b18ca20cecf7bdc26a538d68", "965c4a8087ae208c08e58aaf630ad412ac8ce6e2", "966cf4ca224e239a7192f9e79b60cc88aa604e27", "1d51b256af68c5546d230f3e6f41da029e0f5852", "0b58b3a5f153f653c138257426bf8d572ae35a67", "cdd30bd77c7a4fa21176a21498f65f6b8b873965", "64e75f53ff3991099c3fb72ceca55b76544374e5", "6c6bb85a08b0bdc50cf8f98408d790ccdb418798", "a7da7e5a6a4b53bf8736c470ff8381a654e8c965", "443f4421e44d4f374c265e6f2551bf9830de5597", "3c2b6282811c3077b7807d84068e6a879d163854", "b6c047ab10dd86b1443b088029ffe05d79bbe257", "99a1180c3d39532efecfc5fa251d6893375c91a1", "44eb4d128b60485377e74ffb5facc0bf4ddeb022", "ae4e2c81c8a8354c93c4b21442c26773352935dd", "8fd9c22b00bd8c0bcdbd182e17694046f245335f", "609d81ddf393164581b3e3bf11609a712ac47522", "ab6886252aea103b3d974462f589b4886ef2735a", "3283499696251ed147c5fdbd27a75225e345f069", "26c884829897b3035702800937d4d15fef7010e4", "fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5", "334e65b31ad51b1c1f84ce12ef235096395f1ca7", "b8048a7661bdb73d3613fde9d710bd45a20d13e7", "0b80fdb5b78422efdb3cdb840c78630de0af61f3", "749382d19bfe9fb8d0c5e94d0c9b0a63ab531cb7", "00d0f2ec2036fb26ffcf882eb0aa47da0693192e", "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "3e69ed088f588f6ecb30969bc6e4dbfacb35133e", "5a5f0287484f0d480fed1ce585dbf729586f0edc", "86904aee566716d9bef508aa9f0255dc18be3960", "eefdb69ac2c461e7791603d0f8c02ff3c8600adc", "0b78fd881d0f402fd9b773249af65819e48ad36d", "18b344b5394988544c386783e7bb8e73e0466e0e", "d4026438ce2b92302fa635c05507cf0e888414c0", "26947c3ead54e571286fdea25f1fc4d121817850", "4e1258db62e4762fd8647b250fda9c3567f86eb8", "37105ca0bc1f11fcc7c6b7946603f3d572571d76", "c180f22a9af4a2f47a917fd8f15121412f2d0901", "6da446b59944db9b3d7412ad0efc6c189812d56a", "66b9d954dd8204c3a970d86d91dd4ea0eb12db47", "faa46ef96493b04694555738100d9f983915cf9b", "fde611bf25a89fe11e077692070f89dcdede043a", "ea6f5c8e12513dbaca6bbdff495ef2975b8001bd", "4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea", "874713dfa7ba8b3ffcc47ed5f8b60849d77f6ea8", "f8ba921670c94ed94d94a98d64f38b857b0dc104", "da5bfddcfe703ca60c930e79d6df302920ab9465", "6c30b29b24dc11e37fe36c6e2c283e1c8fe5e339", "46e66d3e4c6bb674d68f7c71f55cb94fc25057a4", "5e6fc99d8f5ebaab0e9c29bc0969530d201e0708", "52af7625f7e7a0bd9f9d8eeafd631c4d431e67e7", "e59c0213103730a45e88866c7154524df3517476", "77652e55f73539df94f03489544504874f96d25e", "5e09155cfb7a8bab2217e5d34cd0d6a4a0586868", "76640cb1a683a479ce2e0d6681d821ff39126d63", "62750d78e819d745b9200b0c5c35fcae6fb9f404", "7d61b70d922d20c52a4e629b09465076af71ddfd", "1eb48895d86404251aa21323e5a811c19f9a55f9", "23ba9e462151a4bf9dfc3be5d8b12dbcfb7fe4c3", "0e49a23fafa4b2e2ac097292acf00298458932b4", "aeeea6eec2f063c006c13be865cec0c350244e5b", "324f39fb5673ec2296d90142cf9a909e595d82cf", "4c5b38ac5d60ab0272145a5a4d50872c7b89fe1b", "b7a0c70a320c1ac3e92f4bf0b50a7d8ceb757c41", "3d3bcda01769b1aac8d907cfecc066963afd555b", "2f837ff8b134b785ee185a9c24e1f82b4e54df04", "a93852198fe4f542087863664b5213613542aa7e", "6e782073a013ce3dbc5b9b56087fd0300c510f67", "497bf2df484906e5430aa3045cf04a40c9225f94", "a3eab933e1b3db1a7377a119573ff38e780ea6a3", "f2f731feb9d376ac50b3347a93e73a0d6528cdd9", "883702f1589abdf14dcb1d164d578a64316ed3ab", "2bae810500388dd595f4ebe992c36e1443b048d2", "12ded6a869b4e21149452234140257019af9494d", "d3f40b393e0e6a88ae4b4072e01ddb0b420300af", "782eee555067b2d6d24db87775e1ded5fb047491", "2293413ebd24e377c1785113b695cc8a918a5fdb", "32728e1eb1da13686b69cc0bd7cce55a5c963cdd", "cbdcc28d36f1135d235b5067383b25dcac5d2ff3", "268c4bb54902433bf00d11391178a162e5d674c9", "d05759932001aa6f1f71e7dc261c4716f57a5397", "ad96a917d5b474ae88ee5939d1e677f8a90ed5e3", "d4fba386caca1b5b2ee35ee5310b5fce50b2b1c3", "a000e15656e84dd538f1f0b8f8639dd29f122c95", "8c955f3827a27e92b6858497284a9559d2d0623a", "12bb0cb32e48269da2902c4c6d41ea2966ba8462", "b5bda4e1374acc7414107cde529ad8b3263fae4b", "00c8b712475e0db21271e2988e5e2a27fb11a187", "20ae711183e4d31e08f074603fa861cd9821fcc9", "913062218c7498b2617bb9d7821fe1201659c5cc", "74d3ff8324e02503c18fb2566ed29e2e22ce0d1b", "259ddd3c618feec51576baac7eaaf80ea924b791", "99726ad232cef837f37914b63de70d8c5101f4e2", "9110c589c6e78daf4affd8e318d843dc750fb71a", "9a84588fe7e758cfbe7062686a648fab787fc32f", "a52c72cd8538c62156aaa4d7e5c54946be53b9bb", "1a66f37f37e4fbf9a8e657853933539256bbda88", "e475e857b2f5574eb626e7e01be47b416deff268", "c66ecbae0f2bfa7cdbf5082fb8f0567878b4a599", "32e4fc2f0d9c535b1aca95aeb5bcc0623bcd2cf2", "61dfebbb02dad16b56cd9e6c54b5da3ab41caf1c", "14e428f2ff3dc5cf96e5742eedb156c1ea12ece1", "6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6", "7d50df03d0c8a26eaaeaef47de68691f9ac73701", "93c4e4b07f36a533ebaa29d3f859a0d356696eab", "41c8e222ebb26e72050f5d26c82f25d7618b700f", "3960882a7a1cd19dfb711e35a5fc1843ed9002e7", "43ae4867d058453e9abce760ff0f9427789bab3a", "9e5c2d85a1caed701b68ddf6f239f3ff941bb707", "6f75697a86d23d12a14be5466a41e5a7ffb79fad", "17d03da4db3bb89537d644b682b2a091d563af4a", "45e043dffc57a9070f483ac4aec2c5cd2cec22cb", "c3dc4f414f5233df96a9661609557e341b71670d", "a46283e90bcdc0ee35c680411942c90df130f448", "847e07387142c1bcc65035109ccce681ef88362c", "62f017907e19766c76887209d01d4307be0cc573", "816bd8a7f91824097f098e4f3e0f4b69f481689d", "7c457c9a658327af6f6490729b4cab1239c22005", "411ee9236095f8f5ca3b9ef18fd3381c1c68c4b8", "aa3e1824af497dc16ae27e6818a0e89c78a18371", "0cf7bb49fc6dd9ab0d60e7cff4bb3e53b2676a1b", "052fb35f731680d9d4e7d89c8f70f14173efb015", "396de136485d85242583951bee4e7b19234bc964", "145a0f18ae28d51edd113a427fdf98c5e030345d", "9abf6d56a7d336bc58f4e3328d2ee807032589f1", "fb557b79157a6dda15f3abdeb01a3308528f71f2", "df71a00071d5a949f9c31371c2e5ee8b478e7dc8", "b6c83e6706a9931a2670bc686485d76b67cb92ea", "19878141fbb3117d411599b1a74a44fc3daf296d", "1050cd9bf281d0b7367c03d931e6e0b4fc08ccd3", "cd64530a910ba28cbd127c78913dd787184f8e6d", "eab53c9e3e8442050aa6ad97003f2356a365adaa", "250ebcd1a8da31f0071d07954eea4426bb80644c", "4af89578ac237278be310f7660a408b03f12d603", "4bf698cb8f8bf549a96e2ac8b2d911a81f6cc9fc", "b5234d5fa189a2401b613f932cc9b3c2de2443dc", "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "8a8861ad6caedc3993e31d46e7de6c251a8cda22", "84fe5b4ac805af63206012d29523a1e033bc827e", "de005cf88856b4b56e8eea242fdb16dabec6b4a0", "2e56209ed179be641e6df5efd11be8b3d54a62e9", "eaccdbcdc8032e4de8419621a7786bb073cbfc0c", "313e508202a6f4f2fc40a78b6237e52c2c0d22a2", "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "80774ae06a562555cc1336da6004618cb9ea170c", "518c529fea2a362a93d2ad0d919b8d820c4cc0ea", "3c4290e6adce10cb809f5adec9559220eac79241", "5119ca96eeca49a0b1a95cecc798abdb042beb38", "372fefe66aa693e271ec6298fac1695208f36aee", "42bdb205d63cbcb44858f3a9e541d37cfeab1b96", "d2df37ecfbf914d5b81e2e5e342e3907c6f55a14", "e996da9beadff6f6694540c6b1794312f814dbae", "5034757f972b68fb164c9996ec2e222d5a1d095a", "21732ecbba1a75d54e8b90c1804f0b77953466e6", "f988aa059bc3589f3cbddd0b87cea2588f623cc8", "759cd83bf1dda78c7e839f332327321a144327f8", "f249b2de6eacb5598abf3046fbb2efb9f15f3fcc", "45a4030b30bb8fe18611476acfe2f1c8b4eff322", "4c170a0dcc8de75587dae21ca508dab2f9343974", "40294254c5d1eb894665b28e009e6daa92aa943a", "3b092733f428b12f1f920638f868ed1e8663fe57", "7808937b46acad36e43c30ae4e9f3fd57462853d", "3d0c21d4780489bd624a74b07e28c16175df6355", "4934d44aa89b6d871eb6709dd1d1eebf16f3aaf1", "24496e4acfb8840616b2960b0e2c80cc4c9e5a87", "6014eeb333998c2b2929657d233ebbcb1c3412c9", "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "37866fea39deeff453802cde529dd9d32e0205a5", "23ebbbba11c6ca785b0589543bf5675883283a57", "b6fe64f953c5e0b8776bd4e0e1a2fb29d8e63294", "ccf0324f4115687a844a6df6a87bbba150adc10b", "df11424eaa9ed522052cf562fb7c054448abb8c8", "346c9100b2fab35b162d7779002c974da5f069ee", "d930c3d92a075d3f3dd9f5ea1a8f04e0d659b22b", "91e9e19a06614197b5431410cecd29762223e04e", "a30869c5d4052ed1da8675128651e17f97b87918", "9213a415d798426c8d84efc6d2a69a2cbfa2af84", "3411ef1ff5ad11e45106f7863e8c7faf563f4ee1", "d9c4586269a142faee309973e2ce8cde27bda718", "670531f3925c1ee6921f1550a988a034db727c3b", "6c92d87c84fa5e5d2bb5bed3ef38168786bacc49", "424259e9e917c037208125ccc1a02f8276afb667", "71e6a46b32a8163c9eda69e1badcee6348f1f56a", "58a3f4d9e1611e29e6378bc2d7cbad7600fe806e", "0fad544edfc2cd2a127436a2126bab7ad31ec333", "88e090ffc1f75eed720b5afb167523eb2e316f7f", "2563fc1797f187e2f6f9d9f4387d4bcadd3fbd02", "21d5c838d19fcb4d624b69fe9d98e84d88f18e79", "7a3d46f32f680144fd2ba261681b43b86b702b85", "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "8b2e3805b37c18618b74b243e7a6098018556559", "034addac4637121e953511301ef3a3226a9e75fd", "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "00075519a794ea546b2ca3ca105e2f65e2f5f471", "c5765590c294146a8e3c9987d394c0990ab6a35b", "10e4172dd4f4a633f10762fc5d4755e61d52dc36", "3830047081ef4bc787f16edf5b244cb2793f75e5", "7c42371bae54050dbbf7ded1e7a9b4109a23a482", "06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32", "4c4236b62302957052f1bbfbd34dbf71ac1650ec", "52887969107956d59e1218abb84a1f834a314578", "61122b36259f5e987a4913c9b257c6e7dc88edc3", "78f438ed17f08bfe71dfb205ac447ce0561250c6", "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "1ed49161e58559be399ce7092569c19ddd39ca0b", "0b605b40d4fef23baa5d21ead11f522d7af1df06", "2a74ff3540c6cdc5e0633d6c1a42cc2705c940d7", "df2841a1d2a21a0fc6f14fe53b6124519f3812f9", "008528d5e27919ee95c311266041e4fb1711c254", "1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee", "4703f91062906b19fc97e1fc1136958d7b8fb753", "b40290a694075868e0daef77303f2c4ca1c43269", "ff8ef43168b9c8dd467208a0b1b02e223b731254", "5811944e93a1f3e35ece7a70a43a3de95c69b5ab", "eee37a7acca02ed6bef8b2b1acf532fdcade9e59", "9f094341bea610a10346f072bf865cb550a1f1c1", "1939168a275013d9bc1afaefc418684caf99ba66", "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "28b061b5c7f88f48ca5839bc8f1c1bdb1e6adc68", "329b2781007604652deb72139d14315df3bc2771", "0fd3a7ee228bbc3dd4a111dae04952a1ee58a8cd", "87a39f5002ef2de3143d1ea96ae19e002c44345b", "28bc378a6b76142df8762cd3f80f737ca2b79208", "7c1cfab6b60466c13f07fe028e5085a949ec8b30", "adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6", "6c0c7b90e0c7badaa95924530cb50d86444010ff", "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "f16599e4ec666c6390c90ff9a253162178a70ef5", "65817963194702f059bae07eadbf6486f18f4a0a", "852ff0d410a25ebb7936043a05efe2469c699e4b", "00b29e319ff8b3a521b1320cb8ab5e39d7f42281", "136aae348c7ebc6fd9df970b0657241983075795", "feeb0fd0e254f38b38fe5c1022e84aa43d63f7cc", "5c2e264d6ac253693469bd190f323622c457ca05", "9b693c71cc89e2d2f41b6ab5cc0f62ca59c6d128", "7862f646d640cbf9f88e5ba94a7d642e2a552ec9", "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "55a158f4e7c38fe281d06ae45eb456e05516af50", "94a7c97d1e3eb5dbfb20b180780451486597a9be", "eef725f4130ee326954e84e5f4ddf487da63c94e", "28d06fd508d6f14cd15f251518b36da17909b79e", "ddd0f1c53f76d7fc20e11b7e33bbdc0437516d2b", "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "1ce3a91214c94ed05f15343490981ec7cc810016", "3a0796161d838f9dc51c0ee5f700e668fa206db3", "7c57ac7c9f84fbd093f6393e2b63c18078bf0fdf", "7f4bc8883c3b9872408cc391bcd294017848d0cf", "d383ba7bbf8b7b49dcef9f8abab47521966546bb", "70580ed8bc482cad66e059e838e4a779081d1648", "be86d88ecb4192eaf512f29c461e684eb6c35257", "2bcd9b2b78eb353ea57cf50387083900eae5384a", "03d1d0a665e358863ff4de9ee7d78f64edd7e756", "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "6a67e6fbbd9bcd3f724fe9e6cecc9d48d1b6ad4d", "8ba67f45fbb1ce47a90df38f21834db37c840079", "b13bf657ca6d34d0df90e7ae739c94a7efc30dc3", "11a210835b87ccb4989e9ba31e7559bb7a9fd292", "603954eed110b1c822002e471921090f6f807b15", "098a1ccc13b8d6409aa333c8a1079b2c9824705b", "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "46eaeee1d2887c27b614852c728411cfedf52144", "8b1db0894a23c4d6535b5adf28692f795559be90", "504d2675da7a56a36386568ee668938df6d82bbe", "69b2a7533e38c2c8c9a0891a728abb423ad2c7e7", "5a34a9bb264a2594c02b5f46b038aa1ec3389072", "fdbe7c520568d9a32048270d2c87113c635dc7e6", "4c523db33c56759255b2c58c024eb6112542014e", "17189cfedbdbd219849b8e7f8cf0293d49465f9c", "14a5feadd4209d21fa308e7a942967ea7c13b7b6", "2f17c0514bb71e0ca20780d71ea0d50ff0da4938", "03264e2e2709d06059dd79582a5cc791cbef94b1", "29e749b14ca6e46dc7b235e879f83b7b132dda8e", "d584b7b1311f52827b7123c9b59fb027322219ff", "0b45aeb0aede5e0c19b508ede802bdfec668aefd", "2961e14c327341d22d5f266a6872aa174add8ac4", "b81cae2927598253da37954fb36a2549c5405cdb", "76673de6d81bedd6b6be68953858c5f1aa467e61", "0de1450369cb57e77ef61cd334c3192226e2b4c2", "61e9e180d3d1d8b09f1cc59bdd9f98c497707eff", "52c91fcf996af72d191520d659af44e310f86ef9", "729a9d35bc291cc7117b924219bef89a864ce62c", "8202da548a128b28dd1f3aa9f86a0523ec2ecb26", "0716e1ad868f5f446b1c367721418ffadfcf0519", "08a98822739bb8e6b1388c266938e10eaa01d903", "076d3fc800d882445c11b9af466c3af7d2afc64f", "16c884be18016cc07aec0ef7e914622a1a9fb59d", "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "8b7191a2b8ab3ba97423b979da6ffc39cb53f46b", "9d24179aa33a94c8c61f314203bf9e906d6b64de", "05ad478ca69b935c1bba755ac1a2a90be6679129", "3c1f5580a66c9624c77f27ab8e4cf0d1b3d9d171", "50d15cb17144344bb1879c0a5de7207471b9ff74", "17b46e2dad927836c689d6787ddb3387c6159ece", "24f9248f01df3020351347c2a3f632e01de72090", "21104bcf07ef0269ab133471a3200b9bf94b2948", "79dd787b2877cf9ce08762d702589543bda373be", "c9527df51e63b56c61cbf16f83d1a3c5c2c82499", "2df4d0c06f4f68060cecbbb8e2088d9c6b20d04f", "6d670eb172355d46034a831d8dc569e17ab14d94", "00b08d22abc85361e1c781d969a1b09b97bc7010", "0d4d8ce029deead6f2ce7075047aa645299ddd41", "1ae642a8d756c6aa7bc049c5c89d5072d8749637", "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "794c0dc199f0bf778e2d40ce8e1969d4069ffa7b", "97c554fbcf783d554c4f6c2f3fcc0a0f9dba0759", "eba4cfd76f99159ccc0a65cab0a02db42b548d85", "2163c401f6345350e38b2ce6f39a42871fb22c84", "1033ca56c7e88d8b3e80546848826f572c4cd63e", "4c72a51a7c7288e6e17dfefe4f87df47929608e7", "30cc1ddd7a9b4878cca7783a59086bdc49dc4044", "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "7eaa97be59019f0d36aa7dac27407b004cad5e93", "aafb271684a52a0b23debb3a5793eb618940c5dd", "484bac2a9ff3a43a6f85d109bbc579a4346397f5", "62648f91e38b0e8f69dded13b9858bd3a86bb6ed", "a2b9cee7a3866eb2db53a7d81afda72051fe9732", "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "8aff9c8a0e17be91f55328e5be5e94aea5227a35", "dc8b25e35a3acb812beb499844734081722319b4", "609f8215f0b9546b01aed5d7d12a37d3a72a0c9a", "699be9152895977b0b272887320d543c9c7f6157", "2f348a2ad3ba390ee178d400be0f09a0479ae17b", "7a7daa220b80e6f447183ab1e30531bb9eec0e0c", "ae6d2fd7fc75b2eeee47e44a162f661a61b59a34", "84eca4d0c6a989d57bc5ce900022d4bd5576361b", "f337bbee95772584e5e082bbffa67ac184d79155", "66ec086d1a546939b753671f192d76c06c8b207e", "fc7709f209dd66a72050c9c5b105164c228ae438", "3df7401906ae315e6aef3b4f13126de64b894a54", "e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e", "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "2862d405f9d1e957076195b0fefd1bdfe480ca8b", "71644fab2275cfd6a8f770a26aba4e6228e85dec", "857ad04fca2740b016f0066b152bd1fa1171483f", "dc4e4b9c507e8be2d832faf64e5a2e8887115265", "0ecb58abfe0462fecd27fd5eb0605d736e75acf6", "76951c50e5c33132a9de0f8911b77d99d873cd0f", "23b80dc704e25cf52b5a14935002fc083ce9c317", "5ea51401eea9a50a16bd17471bfd559d2d989760", "21358489b5ce0e94ff37792a8a5eea198e7272f3", "dddafd9fc479b06cb1601b1280c19181bc6172a7", "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "b4e6c5942ed495c3158ef4bede9b53690b20d0a4", "192e439b19824d06bb21ad6bd63cc7a55772549f", "06bcd68dcbd8f7dadc8310fa47d44bce982f4559", "0d8753db30693a000a2b704bc4f8c7209f716d66", "0f1cbe4e26d584c82008ccef9fb1e4669b82de1f", "87b81c8821a2cb9cdf26c75c1531717cab4b942f", "3dda181be266950ba1280b61eb63ac11777029f9", "668e8a5f2170c9ec921ea55b1d58d87223a04b36", "862234d7e26aed33cd5287be256cd9ec23b0b489", "a68ec9a74fdae7dae859e27fb711bc3c335a0d86", "01e460b6cf467f774844d92f1d359d0d77e044fe", "8e6f67ba883169d6103795d7366a3821843ac758", "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "e1fac9e9427499d3758213daf1c781b9a42a3420", "4dab3522bbf33f199996069106b514badb4f900a", "2f8cf3747f3c7d8e230ad9ab3dbc5ea4e6b9cdf1", "e71e9cbcd34bc169b2d6d083e925bd7f44693ca0", "2a5efa83ea5c4733757b838b84ba6519f873b826", "f12813073a7f894f82fe2b166893424edba7dc79", "5a363ac89f93377bb72af4346957ce36a01090c8", "b6ad9d1a8038e9b4ade4d5bbb26f03e813d53071", "e82693e9e7b1176ecb48a775cf2548e3d68ffd3a", "add80c86fa2e73637b5630a9e32644784e59379c", "a6807ee5dec896aed0d76149067ff27f8c5fb2b4", "5b446205c2a9d694bed3b972d8dd26119c7b1ac5", "38708f8627ab18d748990b1c32817d5e878c6705", "4c1dfd32f2ecd994a1dd85adebd4ad98cf27117c", "e6639b09a1fda7ddcf3d6ea9b5a011e3467ce381", "11554a577c225db1acb09b882e3c51d837ec2495", "c924137ca87e8b4e1557465405744f8b639b16fc", "d8e8730231dc0e77f3ad61385f918df3d93bd266", "55498d89f9eb0c9df9760f5e0e47a15ae7e92f25", "ab69d53372666433738063fd6f3d8a9e88a74b4c", "dc4289ca959b36f745d8e4b9383b673e2b95db47", "c2f8eb9b3414c1777440a0adfcc8c0a3c3b646e4", "3076adf64a28eea92308541978f8ed6907fe2672", "8b56e33f33e582f3e473dba573a16b598ed9bcdc", "2450c618cca4cbd9b8cdbdb05bb57d67e63069b1", "bcd299eb32f17b531fa281cb750a89895cb4feb5", "003f161768db4b70358971d40eb8e1ad535f001f", "fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53", "ede16b198b83d04b52dc3f0dafc11fd82c5abac4", "ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3", "018eaad53804a88d894a8370a94bb6db31a30ed4", "53d8946fd7dcc9e35ddf92096b372c8988c0cce9", "e8420101f54438859ca5cf85ecee01b265bb1568", "dfe97eb3304660c252c94c7eed6fc1c0970191ce", "36018404263b9bb44d1fddaddd9ee9af9d46e560", "64699c4546b66323d4af7d1e44ddb5912991c00c", "e2aafdd2f508ee383a0227de9cee00246f251ebf", "0735e0b0266d94b670fa6e1b974d3676ef4e3e24", "d045f43bd9cbd5ad4833be011e3a33db55d1f7ce", "13db9466d2ddf3c30b0fd66db8bfe6289e880802", "297c4503a18a959e3a06613d5e7e026ba351b9bf", "e1d1540a718bb7a933e21339f1a2d90660af7353", "0af37c4a61d479f0e93e423f15a1f20fe1817fbd", "d944ff789af84cecc0a913da964e017408687d62", "b664dc4902902b3753ea862378f878487b13cc22", "a7f26379346be7c7d4b5511bad7de534c689273e", "25fce91ce1b974865506c14d2e4714d8db2672d1", "221c626da43f973f47e5b6424b439a9a0f6c5052", "adefabe194863b4f764ec982e3120554165c841c", "e66a4fcc9d99088234378b12707d7a8651a7bafc", "726fc899b4b1ebbd607e6a0934e86383e5675440", "f209ac3162ad9443f80dac257427f60913be78df", "42350e28d11e33641775bef4c7b41a2c3437e4fd", "de4b5d00cba99d355f10eb1565b3644b4485cddd", "90f0e0701b755bbce89cb0e4e3f0a070d49814a0", "651ea8b030470ab4a70efced154e77028a102713", "3c47022955c3274250630b042b53d3de2df8eeda", "debbab855c250c003941fde1e799570f0b18faab", "4d0c95aa38dc191db17788f6866726e7ceafe3d3", "1e6d1e811da743df02481bca1a7bdaa73b809913", "f4aafb50c93c5ad3e5c4696ed24b063a1932915a", "07c676e6c42df0f39966aa057a6dea67ed371264", "ce0aa94c79f60c35073f434a7fd6987180f81527", "6a552df527057d433b6b68cab7c2b7661132dbcc", "6069b4bc1a21341b77b49f01341c238c770d52e0", "7735f63e5790006cb3d989c8c19910e40200abfc", "6ae02dac51860d9124db22a09a160a6478123b33", "217d22a63b45bb5960c614ede827fb5c532e0add", "0af10b19c5636ab37609bfc3289fa1b9a40849b6", "602ff72d6b65cda209184916b3ebe6cae0b28564", "449f93b4be37087236c6a13e9db4c1c323683a58", "b69ff748b1cc7da3843acdd7f1c33f0c0debf3f5", "07d70e554f7c9d4a22944bc5e0685dfdd813f33a", "95aef348d76fe8d6ac628dd62196646894585ee4", "a2c9ddd7e7df99dba7c7b2b522f5c601b341c695", "54e6343f4368d9e5468c3e83b6eeb3a58a3c7555", "33abfe693258a4e00467494b11ee4d523379ab6b", "cebf73d590e0c0021f09bdbd59778bd574e96da7", "7ed4d134e1910ded71697aa7420f2fb720596d4b", "355af3c3adbb17d25f0d2a4193e3daadffc0d4e8", "fde7849b90c64d88aaacf384f30a06416d370750", "f909d04c809013b930bafca12c0f9a8192df9d92", "5615548157d0e23d60ba82af1a3b29814bc4b7c7", "63389206f5cc81990324ee498eb6c25ffcf39831", "2dab5bddd86b0c1d8dc201c5860b3d5832da87a4", "0636baf08c741c7d0cadc0f88dc70f6bd023b8ee", "ac2a2c655ad1b3eea3f222b213a774aa25a403c0", "bc9085fb366afe9444e30e5920f3db7042013262", "ee8a75b776f92e797856b3d9a8f2c02421e53ad5", "ac1bbc44a0b342bb52d8aa92170b6473a148d130", "8dc37d4993d2e3ad145ff0959b71ffcfb507e571", "0ea2fa4039b6fc733dbc6942642287f141c1121c", "e392816ec3e0b131bbab06431ac85b14afa7d656", "966b76acfa75253679b1a82ecc5a68e523f5c0c9", "7197e4236fe7c24f6b088b16a404128c1bb28a0f", "900869f974fda37e74e36f3723217511d76395ac", "8356b642e4e9bb39bd26ea6c4b9bad21bd9b1912", "cce261b47bbeec42cf4036e89e2413e25f66ce61", "8c62ce3db6d4147bcc45cba0e225f87a30878810", "1e8d0998c69caf6e9495db1d6df562f8b9e90003", "a1997d89f544cc862c63a972ef364b2ff38982e9", "99b93f67c3b2b0a474bf5670a7dd40a6a0e849ac", "eef05b87f1a62bf658fc622427187eab4fb0f7a5", "c6ecb8e20250e3fa8ef2a5edd8fad4131f3e874f", "62c425be3e07e076d1339d1f2fe2ed319a859f02", "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "459eb3cfd9b52a0d416571e4bc4e75f979f4b901", "56c448434df9f01de306815122f6517a33235e22", "2ff67946ea47903b4ea077a8521032497c2820b0", "db326135c998b7f1f6ae61de015f09e90206d3ff", "d10cfcf206b0991e3bc20ac28df1f61c63516f30", "27e0684fa5b57715162ac6c58a6ea283c7db1719", "ff47698be7313005d0ea0fe0cc72c13f2f4b092a", "d38c564429502f0efece11e212bb1be03f05495d", "ad6bcf4384a7604b6252a6eeefade4c486b01240", "f0a0e963f1ddd8a0b3269392e3d67043d2ace7d0", "ddeacdc30d32da02fd8313657926ef8a99e57620", "47cd38706e81ba6d73a9c56ebc9e42327a0a28cb", "8e1d84e08109b5c692f7eff5cbc1816e5bdb00a3", "26ff4aaee89d0f87367ddfb466d8f8d308c22fed", "14b2dff604f148c4e5b54aa25fbecbf7f9071205", "5dbf772b98cb944befa9cf01ec5d15da713a338b", "1434c9140ba724c9a92f478781e890434e7a0215", "c0d096c31198be908b73f6ebed99435b7d913e06", "34f60ecedeb798397849b171e2e8bcf46c9b7ada", "a2611b92b000d4a0d9918ff282c719dc7f82c600", "234318640a05a7e30b84f1743f2b29d63ed109b7", "47795cbf06a2cc40bf961caa600a491691692dfe", "7302d800c962b5cb705a269cda8525634cfe64a7", "dc2c353fa43a75ec92327e323ba5715c400bf92b", "4af7a077cd5dbabac0e1f52296331bb179b14706", "f5450d5b7c9352deaa1926feb240f644cf27bc23", "51369f138c878e2bd17e6973f95328317868cbde", "3516d0c6918bcf977ad004b337fb066a9d5a8e17", "edd6ed94207ab614c71ac0591d304a708d708e7b", "38f0f382162785c01d08318b112063e5ce7070ea", "3b9eaf8d913f99adeb9192f68808efb7d2c0fac5", "01122cf389ad64c53396fc20f347f218cbfd96c9", "b374391ab793a1bb2ecde4df51be9d97c2cbf79a", "3c1416dd18bededa58d3ac6d2e1f3658ef6cf961", "816283d4313775c8a659edce08e5e10d75a338b3", "183c10b7d9ff26576e13a6639de0f7af206ed058", "8c98f67bb17c94d4d7392dba0774e2e931451db6", "5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55", "ffd78f26ce4abf3df539b0f275f100000123a6c1", "ac9516a589901f1421e8ce905dd8bc5b689317ca", "1dad684de1ce4c013ba04eb4b1a70355b3786ecd", "3eafadfd496f63df4eabbde15fe1add55d82ee53", "0d38a1bc4ee43d04ff7dbcd612284098d7d5a830", "6d9164bc6a483ccb55284cddd9024bb8831dcc35", "4d15254f6f31356963cc70319ce416d28d8924a3", "d6bcc9f24176714fc72dae4cad88c12d9825a70d", "d9984fac91cb4f469cf36f140b6c8c07c45afe6f", "c03e01717b2d93f04cce9b5fd2dcfd1143bcc180", "d8119108c849aacbaff404d7585ef583e09fb894", "92f57973d84404505fdaac530d0009b7bafdae68", "4338ccdbc0407d0ee8fda202c251163e7be49c90", "5437b5cfb0f8eda908559a16e7ed7d7b64be641b", "5ce63df36f893d2ea13b58a20e58ebc0854ef4f8", "cf3250327b9c7437c3ef95b868ce19a0e35f6d82", "b4a16fe1469f2048d031db626b7cbc5bec7f4055", "1d122efc1469e96d71497f0931f502fa47ae344d", "d4b88be6ce77164f5eea1ed2b16b985c0670463a", "5b73bc1660b7eef0c12694db935854dba0829f9e", "cb254fcaa1219f829793ac4a0a1f4c858d853c04", "0dca6aa1c0143aa190973fb2256c16d700992473", "d8d274e679d8ead02a38fb2d6b3c100ccf99fdde", "5efbb135fd3a49de6ca1b69ef583d1bcfe761043", "964e43f4983a42ef3790c265bdce42c1fce56d79", "2921719b57544cfe5d0a1614d5ae81710ba804fa", "f442a2f2749f921849e22f37e0480ac04a3c3fec", "52909a123ba3b088a5a93d930dcd029ec2f1f24f", "6075c07ecb29d551ffa474c3eca45f2da5fd5007", "bde8271f6f9afb58008c3409cee9b1f8a81a0e3c", "63fac08993df90719a52fe3f1c928a03bddc333d", "bf39babab5648ff64cc4b79bfec96e8c6c93b812", "d3ae825a19b7a0b1645412368403814dbebcd113", "5998a015a5f1b72761256759808f9529a7717058", "3399021c2cd7bc4f46494c5aa38bac82ef290e7b", "fd01b62a8bb76798e93cf927e3aa823961af81fd", "4850e40b0e69e30723cb027fdc4a38ee1322589b", "7cb3eac464ad6607819f45e920c4784ad631e0b9", "58da4e59c4d259196fc6bd807bc8c36636efa4ef", "6b18628cc8829c3bf851ea3ee3bcff8543391819", "6d994076a6ef3b6e74e2a0149af759e48b71f9a0", "537fbb3d5216333bcc91730f3ee61ff71f710e37", "53ce84598052308b86ba79d873082853022aa7e9", "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "13d591220f9fdb22d81c2438a008c80843b61fd4", "1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca", "15dc50e3bd1063c3760e1c17177a0e898175c61e", "f5c285c3729188884f448db3cc60647f15e289d3", "8f077eeeb9678a31e77a17a5c28c36699cf13f83", "36f039e39efde3558531b99d85cd9e3ab7d396b3", "d7b6bbb94ac20f5e75893f140ef7e207db7cd483", "a75243922e0a5df5d1bd7d990fdb612fe9f0b376", "a3bc6020cd57ebe3a82a0b232f969bcc4e372e53", "7166c7a4d1e90876899d61e3fa4e30beb5f1ec9e", "221c9fff1c25368a6b72ca679c67a3d6b35e2c00", "d3afd1ee9bd0402775227505ea506cc52a0c18f9", "0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad", "53f8f1ddd83a9e0e0821aaa883fbf7c1f7f5426e", "c901524f01c7a0db3bb01afa1d5828913c84628a", "abf0e3ce602287875a2d1ddf1bb4ab76eceab977", "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "686dfa9c12ff5bf0a3b1707c6637dc8f4a606fa0", "22032c78ff1e89b45a815f5caca35756d935dd5e", "8016233d289f4d7da40f3fcae550b29dce2acfc1", "51ed4c92cab9336a2ac41fa8e0293c2f5f9bf3b6", "a5eccba8e68fe72a4f5f3ab593a2d507a5db7c4c", "4344413b7814b2ba99cc79ead2903f259e98ed4b", "084f1a6c62a3464b1a9b745fee40af2895920301", "83b79e4a0be3db276b12ea7164cded4b755cb215", "2a77e3221d0512aa5674cf6f9041c1ce81fc07f0", "21a9f713a664374bfdcca6f4c8f267b85e63ad7a", "367c571480ac46d48be050dee4e6103a0ebb5db5", "79dc9a1aa2ab7fa46e8024bd654a4a5776c1a6d6", "da61e3f62eda5e1cea027f73a156da36262722b0", "32fca37dcd496dc4306fb19be52f0988a742e4d9", "a6190a778a4e343ceb60bbd738df1cce094e7332", "eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275", "229317fe9b066b6f6f4961920123a03d777dd283", "5fac23560b5ba4d45045f1edd837ed4bb6c1f5ca", "ed5fdbecb5f655333b3e24d448a9665d18e6b5cd", "d341ff4e93ff4407251d00417c9a756a68b6f5be", "ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba", "6c964e59bdac6b8044993ca96b47a9a0addedfb8", "197598af5be60fc75535c2f90849e60ac7122871", "00d6e5a1b347463f6aeb08a10cd912273c9d1347", "214e544d3b01ddbc24e3093bbf186fdecc600342", "f09c9adff8f71c1be5ebbb1bb01d4d762aa385e9", "b21b860cf21edb2e57f62b665203e5d8b64829d5", "6d838f3628dd3e8cdbc7da0b1b472c8c71eb0124", "418b106e1f072c4da400b516079f429d84cd7305", "c4330fabc238fa114f0b8e7b1c099e6565026cdf", "0f00a04c4a8c92e070b50ab411df4cd31d2cbe97", "88ee6d0b8342852a5bd55864dc7a1c8452c10bbf", "5c2ad03a1f8f08a44c597870a2d3f9e518833668", "f2ad9b43bac8c2bae9dea694f6a4e44c760e63da", "8023864256a1a4a26e130a7165f3d70875c27467", "cbefe7939bc7f44274ebbc161c14054b55db9af2", "749146938bb9c953348e105acde9f261f15fb2cd", "aeb64f88302b9d4d23ee13ece5c9842dd43dc37f", "912be40bda22038783af2bc0919fa181097c9f6f", "3a564db6701cc64a4bf336e6012ada0952fed02d", "e74c4cf90c5bbb88a8ae77aaa5709984f7e6a80f", "49a7949fabcdf01bbae1c2eb38946ee99f491857", "6baacb4b67c5dd488e0fe29a6c508c20e034c345", "c28f57d0a22e54fdd3c4a57ecb1785dda49f0e5e", "4d848b2055e1bba4ce80d5d050879c26686eda50", "ccf05c83dc1d9cfe2ef34d44e993980906720548", "d5194642b3c68920e9fbf9839f5704db5a39ae9e", "69f638309fe692f7d57a72d2df8fe2bf1d81dff4", "9e194413f10ea3385f063de87e15287072ac357b", "fa4a215cf6ae71c2c939375db7f5318f644c976a", "55924c83e71fef6ba8031715df72e1d85cfb1516", "06cdd818d3908e9fa05381a069bb99596c17ab33", "c41afaf882de1c7a94c05f881a7416bb60cfd0e8", "e0611abbdfac10d1d9183a437f027094a26c0cfd", "880d024d830fd33c44d9c5e37a9c257966c27fe2", "99cf068a2c453785ebd1b109ccfa158bd3b62803", "619442b4e5503e80941ce7de87eb12da0cce2b23", "3607afdb204de9a5a9300ae98aa4635d9effcda2", "1d126e871e81dc2828685cf6112cb955bd9aae15", "d31e47f45041736c93ec23ba1dbaef6c311e76d6", "22b1c7cc6ba65c5b5274ce4e8f017a6c1599c088", "9c1b132243e0dcacde1717ce1cfe730a74bd8cbc", "c51039a4cbfcdb0175f15824e186998500f5b85a", "49612f6110f6863159fbd0e0be1253845102f0ff", "254d4206f4a68862e6e6c45b0938868e84cc67d0", "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "45c824c25e66b7bc1dd474f80cf2b0056b4fa6f8", "bc9c4b5379469a03415b5b35f8b627b2fbdbe967", "c59817e6fa375f715420d88ce024777b2961360d", "625fe925c88f642d8e082fc51c851362f94fafd2", "eefe8bd6384f565d2e42881f1f9a468d1672989d", "b9df25cc4be2f703b059da93823bad6e8e8c0659", "b14fb84db85ab4bbbcc8c92200e9c69b00737f91", "0d47b2b65c5c42291e90c591212e4e0b574a95c1", "57ba4b6de23a6fc9d45ff052ed2563e5de00b968", "aa17a5e76ae21d0d068c7f10a4bb24c19888b685", "e19a4dadf60848309c8fd7445d97918da654df76", "a7d7fba176e442f60899c57b976ae6de6d013ceb", "c9fddfbb8fd4b83421cddfc1495dfb4bb1f9ddbd", "90bd16caa44086db6f0e4bbc1dde7063cb71b7b8", "326611cbfaea5a413c6f9496bf96b27267a7f273", "e181aca6e4b7142d2254a93477170e75c335d616", "0cdb9f0428721f848ff676ecadfaeb99896cbd13", "aa9b924c88b75909871585cbadbed2d76df7dbdf", "1aab5662f57ceb813fbe5233f8b6fb5868f5d9fe", "70769def1284fe88fd57a477cde8a9c9a3dff13f", "7a870f60eebb2c7417140f8ab48028a0f57f7b42", "307ed58717ecc925bdf3f56da4560b44ea6bc312", "84844478ac95e3dab92f0d574688aa468a84961f", "31abc53cfaeb5181765917dba03c85a9e8de3c26", "07f31bef7a7035792e3791473b3c58d03928abbf", "00fb2836068042c19b5197d0999e8e93b920eb9c", "38211dc39e41273c0007889202c69f841e02248a", "59f83e94a7f52cbb728d434426f6fe85f756259c", "fde0180735699ea31f6c001c71eae507848b190f", "891d435fd1a070bb66225abfd62b2e2c5350e87c", "95fb31beaa745557fa33ec4f670ab4e130ff5bf4", "87ba4cce558c2defde90f4b42853262fd572ca3e", "dd2d952e5dfad764649a1bd9adeaa429f0998c12", "bd766fb148c419673778cd026a8c4e8c5e4696d2", "89d4f8bde129198f41f454b2fd9bf29fce809fdb", "76b9fe32d763e9abd75b427df413706c4170b95c", "29f5ed1693511c636822b42db76639911bdeeda4", "35a2b1a8ad8c67f3bb0961f690f407124e61c9ec", "a716972c8d3e6c25343c07c01361375bcb34118b", "d962dc575bcbb054a76385b7f2d446e83f17d1c3", "d275714c323dd4e400e8003fa8c33070f8ea03d1", "666ee08d9486645a3a0a9e5354c248dccd9ba0c0", "617a6935643615f09ef2b479609baa0d5f87cd67", "df30fd76934092a4aacb850bf5ae5520b22083ef", "4f507eb9823b13f1f782d25d6f0592924c087562", "64d795ac6b90f1b7dd227e7e8f24a614d18aecfc", "5d1c4e93e32ee686234c5aae7f38025523993c8c", "07d7889bf4b7cb19d4a8d09996311cbec2a3da33", "fbc3680f14f057a62420e5771250465768a75557", "f3a8e2eb5190cadd037b722e7c1190c2d1148f10", "af31ef1e81c1132f186d7aebb141d7f59a815010", "ac0131ab219891562cad7f5d83ec910216e3a94f", "93a451b5efa21887dae43eb73b4793ae3d184138", "110a6a5304c6773773a0cd217f3e9d540b2f698d", "0c852df66ccd97f42317b8c021424ca6f93721b7", "85639cefb8f8deab7017ce92717674d6178d43cc", "fff0a848b57361e1e99548c95fbc2ec9ae00ce32", "75fd35b2048407f93d7bada8edbb7628d5a952bc", "7f3a73babe733520112c0199ff8d26ddfc7038a0", "2f1c3257ced690a0e1c38ddf7792e36b24fcc8fb", "b27322d8b0984ce3b756f2b7c43ea698d635f2ef", "7d82e69d6e69cab9951bc148bbf867a0a69dfdc0", "3c4014886b3aa01024e3a1e81823a95a57fcf215", "b542f58c1c9abe627638e9267040b397b6668374", "d28d697b578867500632b35b1b19d3d76698f4a9", "5a5ae31263517355d15b7b09d74cb03e40093046", "3c8aa33ccff8f959df28e4e883867af32e7b4b78", "f3cb97791ded4a5c3bed717f820215a1c9648226", "98fcf33916a9bb4efdc652541573b2e7ef9e7d87", "b7cf7bb574b2369f4d7ebc3866b461634147041a", "745b77016f972288925602d0d67bbba7d2c0fee9", "7c23bdcee91be4426c77f580e79462ffe7f52df0", "6c62c592d9d3090b446cf76147468a6190431b3d", "468df6f105845fd82ceee75478e2f61489359075", "5bac3437dcdfe482b406800f38c0b9a5ca9223ee", "bbdd99189aee252adcb0ae80d094e2858c645a78", "f4140100f311ba899b8ba661de17600e91cbb129", "c4c41bf777a1dc0ced43ee64bee683be092e297f", "7b4e42f4dac397e5214d957f75832e58d6f28299", "5479da1038a530beb760a38dbb5b08947dfaefbd", "8780f14d04671d4f2ed50307d16062d72cc51863", "c29e33fbd078d9a8ab7adbc74b03d4f830714cd0", "fd068e481929949e0ab792835a943043638d1b9d", "ff62415c8685d6beb698960b7db3498b61ead423", "82524c49ea20390c711e0606e50570ac2183c281", "829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a", "ee6e5a67c0504f77ec96121106ae88488da0536b", "c3561494f98929d8019b0b0e9481b2e79424f60c", "a9d1d00d6897ae23c9a7e9fb75a3c7417a6730a4", "5f7ae1e13c00bb58856374b9888f1ddf73c6865e", "1ac8cb17c278fde95d76cdf066720195d115d265", "4d0ef449de476631a8d107c8ec225628a67c87f9", "7a9cd340fc4f81469bb379f74f39a90a7c8c2534", "3333b35ddb698be76dd27bffad131c1daa694bf2", "d590ca357910532cc62eeacc56af8f86b9fe642b", "2d28fdb8e067b15c70a02729f49b23d75551a300", "35047c9667a4c5160f9f40f16b455839e63662ff", "1fee632cad6a3853cc43621ba50161f5dd6263e5", "2c53cb4222cd9ccc868a07d494b8a4ce102658fa", "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "7a9ef491914d515bb5570aa9b3a261d42d430b86", "30457461333c8797457c18636732327e6dde1d04", "a6f13b609450139d09a97d0f18033cc45f5701c9", "80c4f5bc43f21041343c6d7a61cdc281cb36be07", "96d34c1a749e74af0050004162d9dc5132098a79", "3fbd68d1268922ee50c92b28bd23ca6669ff87e5", "58493390be8aeeabbd974e3d81f7db49af1ceed1", "0328b975b11fd4153010535d1a06cf618f9b0c91", "97e5beb344cc68fbfe19a34e061f886c962c81e4", "076c97826df63f70d55ea11f0b7ae47a7ad81ad3", "3abe50d0a806a9f5a5626f60f590632a6d87f0c4", "434300db45ea1b0b36b0c606ca728aaaed235275", "8028b9bc85b64f3b93d936ab2bd05ccf64a92bc3", "af6b14c0bf427b22baffc06a0bd515b30649d8c3", "9c5c30e396b307010c374ef3730e84f6cf763205", "8ec7fff88b2e5b49154e6654e5e27f6678ddb7f0", "cba987b9d2da056c23e052705f0eddedb12b086d", "91d6d25512e3297830b7d8b330f311656db09831", "05f2c7cdaa237e42338e2f626af1fe79fcc4bf21", "280bc9751593897091015aaf2cab39805768b463", "0318c3a969d714581fee93324f5fbe6f5ce685d6", "a7a8b35aef658490920d62623870606c46c95c15", "80cef64706957c53a31b67045d208efe39205c9e", "71ed20748c919cd261024b146992ced4c9c2157b", "f2cc459ada3abd9d8aa82e92710676973aeff275", "4897bb843f0f397d150f4c210a3bd9990db881e3", "79033ec1b2c86034908febd444d6ed3c753e17b3", "ae419d28ab936cbbc420dcfd1decb16a45afc8a9", "1db44d94f6a4eaa3780c251446fa0fba14dfae44", "3a3aff63229d6b6e5310985d2c7fc18808895b7b", "109f2ec25cff824458328eafe53dda07abf4da94", "085913122bb75391ea8c73f2625f4679fe9cb3b1", "0c4a139bb87c6743c7905b29a3cfec27a5130652", "c83dba889132f0d2b909474e5e187f254bd09e29", "beaac021fa41904ad8247936bccdc7ea17ee9f53", "7eed1dbf1d09dd48f75ae25c5e39182afae6862f", "380862d22617064ffab1a3b42f0b11752d6bd785", "7589bded8fed54d6eb7800d24ace662b37ed0779", "d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3", "224a88f8b4afe8e6dfe938a8baef491c5dabd85c", "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "9a912a17fceb5ec5a0ba230f74db2701d18a2937", "a66d99ea07f72281a6e510eb2a9fd4b0973e16d0", "05bd6c2bc5dc6d65c48c6366788441bcfdd9db3a", "60cdd2ae71d39f2a8a3c6d4c22284a602428b347", "4da80ad59adbe530838b5685935b488edab07c7d", "95d567081510e8e59834febc958668015c174602", "bad65ef11c58c3660febb98abbe9f86e2b8fce11", "c45183ec95f89aff793a2629a0520006b4153d6a", "f07468f7b23a4b5740787a7d9d2c7706991b51ed", "a044dc0ff3fa2a8f0a80afff9eb2cbc762996e3b", "0398471b52cac8dced1468502cb782dbeb38130d", "13a82da2bfa24583caf78ab1d14b5cfa4798b3b3", "e194cb0077bf84eeb627b7772336421064a36b54", "9902acd6ce7662c93ee2bd41c6c11a6b99ad8754", "43a3f22926bbc7ee3419a8468255bd42ddb95da1", "591db404f6d8e3f37c12752b0f9173ff1a475598", "0922e7d583d02f6078e59974a3de4452382ca9dd", "bcf52629788e210f9c87945fa9cf792609e9154a", "68d7be102d8b298d172d120d5a7ae1bfd5b8ffb9", "e984017c5849ea78e3f50e374a5539770989536d", "7c87f445a15597f603756587e0f9b8cf4d942ecc", "0ba67a76c6e7d37d3fdc0017cd40a68e503168f1", "241416b1249d2b71b373f8dcf054110d579a2148", "9401465784cb5107cabb87d7c2ffc0a594e1dafe", "7bfc38e15589f9ffb471e152297f5419fdc9ba8d", "0098f42c6f24d5e6d2471c1d7d1e864ff8e83226", "aae29ef5ab6f9f24e8ab7985386c23294d2343cc", "f6b8f8511f8a66209ff2e7f163f9265ac077ba3e", "a6f858256d209c62e869af60a0f347f7cef07281", "04e06481e455c6eb838c22e8505dafc01b7d0cfa", "bef2854893462ae28bdb2243bba4d010d3909289", "20f64a00593ae2c6ebbe87b41394335152f9b165", "930b3472592ced6665cd630be7ae57d4abb8b4b1", "e98022f21f7d31a056e027bd1d499a5285ed52f7", "af80dfe0dacf992c49543a4bac53d1974cb70e2e", "7aa83aee1e8b2da7ec90c67e63161c24e85f4ba1", "001d909eb3513fb6fad8fb2355971441255458c3", "34d62a259bca3b83518d45d9f0b53cbdecf973a4", "e4f3e0951fd66abe3b5dfbca88f676df82846214", "0b0b1632a49861c2fbad8b6c4739760195524c27", "0a602b85c80cef7d38209226188aaab94d5349e8", "a35849af340f80791c4a901ec2f2bbbac06660f5", "50978b4e9bd0357dba7f16440ef8bebc43e82f9b", "be1dd7faf6c495e628877332d44c0487c225bdcd", "5160c734bfae7c3649c81ea36e4a607e3df241ab", "0e48cbe35ff94884258b4058721f01143197e845", "882a1c2c17fdf692605397f05b09d280a8da59e9", "077492a77812a68c86b970557e97a452a6689427", "2c3b58b8103d80ef24241c938837ec18690f5b94", "31fd53c2942135e35f83566d58e693ffedec2369", "cc098a0f390573237f2f7211ccf0643cd1ef3c66", "1b5f80efbfee767b318a7374cde4e6d1a6a91607", "2713cafcf3d0aafb558d13217d649c93fadca56a", "dabd3f276bc815865ab7c9f375368a1e31903860", "1cfbc68d06c2f3706f819e4f53ffdccec0ec899b", "c444c4dab97dd6d6696f56c1cacda051dde60448", "0dc4231b9fe007eb891dea2a51d2bc3c6e3e1cb4", "533d70c914a4b84ec7f35ef6c74bb3acba4c26fc", "b1a40665eb4c0a4c6978e84539ece1c0f406b8f5", "fd7c9d90ade72ad96990b284004f672a482029d6", "48c9898a14191c478d623550fbb73fbea92309aa", "612b8eda338fcde9400ea93779741282fe4132d6", "ce85d953086294d989c09ae5c41af795d098d5b2", "f7329728828f5043f6e2c665b5dba2dcb45628a1", "8620814aa00631b03195e183c1e86d24b1c5caa5", "433fd3234c13dfa73c93b68104f568f479481eef", "2135a3d9f4b8f5771fa5fc7c7794abf8c2840c44", "841bf196ee0086c805bd5d1d0bddfadc87e424ec", "35917932a9a82abe1ea6f2c66d456612a3a182e0", "323ff022256bdcad43042f3c12f749598ca66338", "e273fb43ca209a33668ce389c929db42b74b0968", "0b4b5747146d77ead155e3698885bd464b5e6f56", "6b356d4ef84ebd58b93ac4f8b738dbff944a829a", "66cf52b29ef32d5a13c646eceaca98cb08fee6ba", "0b87ba2f756cb0f1a84ce6abb2574af27d3113fe", "67c08e2b8b918a61dcbd0d4c63a74b89b833d259", "30d5bbfb35a0d534c39ba709a3c625e9965d2985", "299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0", "e506788b911aa7f55f44e047b79a242334167d5a", "abb4b8f9df14f7b15aa43920d0329eccada33b97", "b755505bdd5af078e06427d34b6ac2530ba69b12", "c61743d4230bfda7e4497046fba8b132ed221d23", "18eb8e376ea07f8ff68f7eaee16e34fcb0c4b23f", "eec466317c83e8093a32b978e753c3fc8f21d21b", "4a763a6e161d372f17fa591c35932c4f62e3e12b", "6d10c110adaa381084c0b8ed2fd391d1fcd84a03", "3ce0f48106fd872e2c2327596c2677c4680444a2", "13425bb41d326982ec6b3c6f3034aa978a1300ac", "e5c22faf19bd7ab529ec7c39e4f46e8116211679", "7ef41e2be5116912fe8a4906b4fb89ac9dcf819d", "91a5897565818631a32ce4edae5548d2baf99d77", "f6488c7741eaddf6cbbd0b0728c48fd8ee1c00a4", "178a82e3a0541fa75c6a11350be5bded133a59fd", "bdbded88916307e282a22dadb7954a4942300908", "df3d69acbaf1121798d5c7eddd8094fca3635466", "6d66c98009018ac1512047e6bdfb525c35683b16", "35ccf703df2dd37fc857ab9b438e18c9a65ba5b9", "1182323392b11a3de72b403c1ba3fba34f547faf", "2a0a335d4b2183b03ea8dfc27e31a1891771c4e6", "aba31184783150c723805831cde0f22fe257b835", "ac942c4870e55fe1d9822d62edcdb685d41cd2bf", "11bda1f054effb3116115b0699d74abec3e93a4b", "027f769aed0cfcb3169ef60f182ce1decc0e99eb", "18c72175ddbb7d5956d180b65a96005c100f6014", "a65301ec723dfac73c1e884d26dedeb4de309429", "166e5efacf632f18de3476cc5a942a20d017e68a", "0b32cd6dff1561889652450cac5c1abb9833557d", "5ab4d05729884f5ce806ed77f38b3972f3b430f6", "5367610430dc0380dfbe8344e08537267875968c", "6dd850acb928457ffd44e5d9dceb7946a7f0c6ee", "05fa0ce63fb55a848d5ecd6cd1c45d3174dd889a", "05a35959c6822155bee927305e799613ce99cc2f", "82b8a0c3e8f46ab0af5179a9d9a6b137405096d3", "cae17fd058a031515ad0aa6c0f5da5fcb5f681b5", "50b290b0b2d14a3f0f9cfd17b15d87b91d76bff1", "ec1a57e609eda72b4eb60155fac12db1da31f6c0", "f4eb8d918def78f79adbb51d11c81793d5bcf0f4", "18b4e9e51ee14c9d816358fbe1af29f0771b7916", "0cc3c62f762d64cffcab4ac7fea3896cb22a3df9", "c126f053855396f9e1ac1a408201d50d5280f79f", "cdb61fc4841e68c574f87137d93d8c63aca4ad89", "13791aa7c1047724c4046eee94e66a506b211eb9", "124476c2815bbfb523c77943c74356f94f79b580", "20675281008211641d28ce0f2b6946537a8535c4", "0e0bfe54d1f6ff1ad831c552894ebed09e3e485d", "d0318d0e1f87c16e1e4718b8166743f617c62a47", "cee80d22cbadad649424bb60a548fad7fb437e68", "385fa8768d174a9044bc723548a7f8810a62606c", "478f1dd9eb44b8de17fc3a7a0e45861fe7bf0fe3", "2cae2ca6221fbfa9655e41ac52e54631ada7ad2c", "3909f51a6850436d7e1e27ca2a16d6db49773870", "cd841bdd90447085542fa3a6a422437e97edddc8", "bc8373b3d4110786a597b21f3ae9c8e5ffd34a2e", "7be351e731eb9c3b71ad0c2a47ee8d300f7049be", "c70ea40140e2f73e78d9d54335fbacce46d4d0b1", "2e6e335e591da1e8899ff53f9a7ddb4c63520104", "2cf40b684c0cb789ed8d9f8eee0576f3b3fec98e", "95738166f0e8e66af1b23e28af2a6834c86e12e0", "157f95439cdc50f0903d59e406964dc2bc4b4d1e", "328bfd1d0229bc4973277f893abd1eb288159fc9", "4ef4553de88191fd46ec8000589c3fc1988f06b5", "1e472cf9a290e8f59573628dba426cd6d74411f4", "ed12b0a9d2bf6316b32a2bd143f33a85582dc91b", "7438582019689ce42ba4427a24bb7295438f82b8", "a432f815d753121267ffb524f8fabac21be32733", "756083723f91af82e55b8ad6b4ea7965d46c4ca8", "614524b27188bb8869ec7a5b374c2a9874f96ec5", "c22df6df55f5c6539e1a4d2e2d50dbaab34007a7", "2eb610d67ac07136fce4d9633edc28548aab76c8", "33648b41b4c9a776dc059bee96d6df994009828c", "432e097b6212c1a37e5d05f0d6f5a8c44746cde6", "4a9db3fd76ad7d2d95f862d50e97247f2c16502a", "d16f37a15f6385a6a189b06833745da5d524f69b", "ceaf24a1c756938125ef5865ec2183730385d7ea", "fd6d4673178cbecba3b2535c740f28cbdf901f13", "75f0d2d8aae00da73e4122c712ad230cfebe7729", "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "24d3e695af619e88613aba7dc0e7492c12fa4d0e", "e825811cfd92a8be5be2caee67fc7a48ed2f5df0", "1c2724243b27a18a2302f12dea79d9a1d4460e35", "2e2935a7489ae55fe36af6980523f8d587c18935", "b29f348e8675f75ff160ec65ebeeb3f3979b65d8", "831cbffbfe39a059b1212d49e8fdfd458d1d01c5", "82a610a59c210ff77cfdde7fd10c98067bd142da", "f7c155f9bfb55ecd7518feb7cc8854aee36b43ed", "7d7870b7633678db2d39d4a5d69d10337ca827d9", "fcfb48b19f37e531a56ae95186a214b05c0b94c7", "8ed051be31309a71b75e584bc812b71a0344a019", "5173a20304ea7baa6bfe97944a5c7a69ea72530f", "fdb0472af94a726897c20b6b181c6d71ee293e71", "e8a5800db4b7609e3a55ec4b904b263cd359df2e", "a80d057099a6ca872508f5d416a8cd67b788506a", "dfa76da5eb2729059ef303cbc25e01ca30383615", "8e16ca7a91aea52788f1ed5ce12c906117a56cb4", "2168ec12eff5c3d1ff09d0f3c13d6df5b5061164", "1a5a79b4937b89420049bc279a7b7f765d143881", "d74e708a058f0590c7a2ad679af483dad46acac1", "dc4089294cb15e071893d24bdf2baa15de5dcb0b", "2713423d87d011c0a5aae99bef57523769121a1d", "d002ffe37c71e32361dd6126ae4b3cf4bfdaa7ef", "43a03cbe8b704f31046a5aba05153eb3d6de4142", "891b31be76e2baa83745f24c2e2013851dc83cbb", "f59ccad6b7f76bd8cd5d6bbf867b2236c9b01e02", "2e5291fc3c0c0c6ac3a6459d63416ca6eca3cad9", "1d0cbbe466647286bd73d41032a418b0e2265e7c", "96d3280d7af05eb1968aed07cd50c305952cf83b", "c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "c1f07ec629be1c6fe562af0e34b04c54e238dcd1", "4cfae149d6acd8cffc12c06ed796f1f84dce0e73", "020f5848c11b43ca5f7cf02f9198649895422426", "c33c8bb663f651918ff8c4ce04d941e1d2e9be0e", "47d32615dc396dece539b664969d2e102f5b0f63", "3e72a9a5b7d184b72771ea4519cf9fa0253cdecd", "643d11703569766bed0a994941ae5f7b3e101659", "9a5e36c0f9b802cd346e3225c0b04ab9dda496d1", "711f6446d0b3897b892c5c19c7d88fe50424eef9", "282e2f52d8dcac36c8c1a35cdee66da52a07e2ea", "2d8a84a8e661ce3913cb6c05b18984b14ed11dac", "a82b47e94a8982b9c1ca4bfab54ddeaf856d0be3", "56c273538a2dbb4cf43c39fa4725592e97ec1681", "0fbe38527279f49561c0e1c6ff4e8f733fb79bbe", "ffeff854e7fcf5af663497be00c86537f7d9ed11", "144523508d89f164c61924a4c4fa6946fb5545f5", "8009291e2f52d8bc586b5e0be9aa1b91ce12c711", "8de7c496c1dac3be5fa55de72867325153b119bd", "998cdde7c83a50f0abac69c7c3d20f3729a65d00", "ff60f453888ac00a0e0b6f1649c1a699515a955f", "42afe5fd3f7b1d286a20e9306c6bc8624265f658", "62857147a6809063671614d62f43605130757b1c", "edc6d96ae195897b33c07f5fa428149915b4cf6a", "cdd2ba6e6436cb5950692702053195a22789d129", "dae35f1f2c581d9e632cccb8d279b56a4f1deb79", "23ee98fece06ec19bbdc399f1ef5412265275f9c", "dcdedd9f4f3ba370903c2d0c976f82fd63da6266", "ca2e14671f5043dab985dd18e10c5e3f51e2e8be", "a36f79f541a4049b615c8e12531a6e5ab88d1aae", "c2fa83e8a428c03c74148d91f60468089b80c328", "fb2ac6befd22fde3e6cff180d3431f02c81bc32a", "1b3e66bef13f114943d460b4f942e941b4761ba2", "422ca72f0ce9d63d2fab1ecc7f3c77e5c0fbfbff", "4cb8a691a15e050756640c0a35880cdd418e2b87", "e533d2321ccdd69f64be60ce1e503c09eb3dfed0", "1d5219687b9e63767f19cd804147c256c5a5a3bc", "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "ccc874b0d73690d18a84229f40af438696fb1b27", "843f873c08df64431baefd79e83e4b70236427de", "05d7812269e8a1c229e45665efdf88eeae605dfc", "cac24ea3b301c4aba0f84470b175198c10d03199", "3528125426646dfb7b9ec2bfb937e1e70028bcbd", "a1c1970f7c728cc96aea798d65d38df7c9ea61dc", "d84d48f842d271fe3e02da1a55d8137da5d4b756", "b55058e3a67677206f0b0816abf980ecebbfef86", "916498961a51f56a592c3551b0acc25978571fa7", "a2b24511ab903adb0529fe36d043dde64f15abc6", "bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8", "8d5945ef2361511a17719c9efe9e2d005247029e", "db30d798655d2f66c55814f4f884369b85c95a48", "96813c14f3de1b8f7472caff7a99b4145267f25c", "5828c50ddde3b819403ca9c447f65d0a2accaec8", "4707175ebc50e4036412f441a7cec6673c4ad31f", "7c5c4ed47bccd0016d53b7bbc27a41dd74bebf1e", "9019ad9140383a406b8d87a2dc9a99ab1d16aabb", "1176a74fb9351ac2de81c198c4861d78e58f172d", "f65ff9d6d0025f198ac4f924d2f0df121bc51c67", "311848708312ccceaaeb82bb7dce31db5e63a7ed", "e0b6defafb69fa3bbaec279b3cba92edf50c760b", "a9f15f6a6d94e5fa421e592ce1e577d1966af954", "bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d", "c7aff56c47c9b26691b420ecfc72caf4901ef606", "132cc530230cb869318b0a9d81a717077895db38", "aaa4c625f5f9b65c7f3df5c7bfe8a6595d0195a5", "46a29a5026142c91e5655454aa2c2f122561db7f", "e7796cb863c1e25b393ef05241e222a6355bd4e4", "18638b148424081fc36f63755feeee6e30285f87", "72fb849144aea8e01f141419914cde87bb7972f3", "5c707dc74c3c39674f74dc22f6b6325af456811c", "761db68bf6031545cc865a813f398cb4ee8f61a1", "7a52eb0886892c04c6c80b78795d880a70796cb6", "a967426ec9b761a989997d6a213d890fc34c5fe3", "35cdd4df9f039f475247bf03fdcc605e40683dce", "59c194bc84d604baf09241238dc47806a998df70", "fb36f2badc18977f469fb8b8be54a4a6f9ba1068", "d5e1173dcb2a51b483f86694889b015d55094634", "ddb49e36570af09d96059b3b6f08f9124aafe24f", "3172fac25c7bd516867933487b8f04c0e23b4f43", "403b4deb13545144a34bee855042877f8b0ed809", "7d8354627468f1cb236c9f6f42c317c9c09f0c85", "420921277310ea97a819e676f626dedec734d4c7", "d31bf8f6f9404a0ab2e601e723b9a07287d0693b", "f9d664c21d4693eeea04c824f301694dc5de4af1", "0480b458439069687ec41c90178ba7e9a056bcca", "0e9ea74cf7106057efdb63f275ca6bb838168b0c", "31daab398f84819a98c966801a3795140d080c5f", "b65ed4a745168ba5a336a593635fcb3f3c3ae60d", "5fce9d893a40c4e0f2ae335b2e68bfd02f1cb2c6", "62647a8f8a534db2ccfd0df7d513b4f084231d10", "fb1919aeaa26f2c559268c52deb68463ee58abee", "a40476d94c5cf1f929ee9514d3761dca00dd774b", "ca30c8f28642303e8f9095fa5d1e908f194cd586", "699ee890e93384b386f1d44f011ee47bd8a17b07", "e4691de78d35ed7085311a466b8d02198bf714ac", "dbc749490275db26337c7e3201027e8cef8e371c", "db9ef28cc3531a27c273d769e1b1d6b8aeff2db4", "b1898f8fe31147779a841f56795a776db6699efd", "23adc523fc790aa0ca450f73a44b71a792bdc85b", "b0b49b1626a9c33843eff609fdb42decdd1f8b90", "cfdc4d0f8e1b4b9ced35317d12b4229f2e3311ab", "11fa5abb5d5d09efbf9dacae6a6ceb9b2647f877", "fdd7c9f3838b8d868911afaafa08beffb79b5228", "bcaa5fab589d95890d539a3119657fa253176f0d", "9f5fbc661ce13d1f946f5d3c5b194aab71e0511b", "787cdc730b35e380f0d33aa1b3428f3b3b1666e3", "be84d76093a791bf78bed74ef1d7db54abeca878", "af36ce6d1f2cbc61dff80526c530b714f797cc50", "be66c2638b86964cbd67d66a8a6bc8346a06fad8", "783f22f9ad77e437438f24f2d0a7c1397468ec88", "708161b78b049fe9891a8fb2b2e6cd1588591bf0", "309e17e6223e13b1f76b5b0eaa123b96ef22f51b", "27d2e977356915c63c4562fe41df9e9ed0290f15", "e3f6108163b64ca4aa94d9be77c753b377fcda87", "6b4d1c0ddf606c84148edd889db231f67703ef3e", "db67edbaeb78e1dd734784cfaaa720ba86ceb6d2", "7264c2a8900c2ab41575578eb2d50557b2829f84", "53b8288f71340a98c2531cd3e152c94613a38cae", "4ee2421bdbb71712522b0db86864fa9ac1474582", "2fdcf1c89b231ac4cff03fd6768583b3d4400b41", "e59adfa9ff6377f54a5514701cc783cf8ff79628", "12c708a709480722aae9324648d0404ec55f151e", "c599e49afcfc0aa4910cec58b5fc1198153514bc", "514fb60de79497ffb4b9490e12b11a9c94036ec3", "036f2001767de3d9b6b396d2d829f8f030b056b3", "e5c468c859faf03954d9440fa33b913d01c65141", "dcad4d6a6517dd2f76dfe3c8539333d9e40ab90c", "3ca9453d3c023bb81cce72ff2d633fc5075e1df6", "fb6ebea810ebddc0c3e598e929369e395e012da5", "2acf319c5eac89cc9e0ed24633e4408dbd4a8a5b", "3f4f1cabe336948b80c819b910581e0f338c4b4a", "2ab214d5967f964dda4e6610a9694dc4bcb44550", "e072acd8a041b90cd86c39f90f235eea7feb37cf", "db3e78704df982b2af92282e4a74aa3b59ea3a2e", "35e4b6c20756cd6388a3c0012b58acee14ffa604", "d54f508c943b8415bfdd30d9210869ec93ff3f03", "838ed2aae603dec5851ebf5e4bc64b54db7f34be", "20100dbeb2dfebc7595d79755d737b21e75f39a6", "f60311fc10d41aaf672b9ffccb815e3d5300678d", "6fe83b5fdeeb6d92f24af3aed6a34c5bf9ce8845", "140eaf273eabe233f67257d1ae7ee44a8f21e502", "32420c65f8ef0c5bd83b14c8ae662cbce73e6781", "01d94d568447075d9f32f6c1e7af9255188a6938", "8b5e32389af26e86e0b00f21d48ef938c3b6c699", "a632ebe6f1e7d9b2b652b0186abef8db218037f3", "eeae5d972fd093786acebf884a915924f9d66d0d", "6cd497a9a66daa2d0c867dc07412d958791f3499", "8768b8a972debe697ee5f8c3bd67a6df6ff44977", "69a85d31cf3c17ea4e8b5ac43062d5332f463955", "2a2df7e790737a026434187f9605c4763ff71292", "327eab70296d39511d61e91c6839446d59f5e119", "649b47e02b82afeccc858f1f3dcec98379bfbbbd", "a6f13ef1eaa93b8532be9a36815e1cfa25efec6d", "5f11893a16c0c2c6b685befe4ac23e86c9e9f59f", "3f5cf3771446da44d48f1d5ca2121c52975bb3d3", "06b72db17f9af33996f97f45eca1473658973286", "1505a18901aeffeeba6aa48c54775a2b2cc67579", "4b144a0a5f8b58d3bf311c121e9cf79fbf91cc52", "f5001aca394bbe7067db1b65f231c627e286aa4c", "d7b1e64fb0b17883f16d6b43991b5afe9764b4a4", "a8cd4bc012e08a2c6b2ca7618ec411a8d9e523e7", "ca8ba835d8ebcc2d95d166ce34e051821367928f", "5224e9cf182453e6660fa0b8c2e3f386c72e67ec", "4455b9ab789eb4f704e9f890c122a843087b605b", "3e0830ba56a55eb726a0b3251b66c9237135c87b", "30ff70a3afea6b6b46bde883ca1ade0e932bbe71", "9bed3a6f0f480ac23032e51d4c70e2fc57f7ec0a", "c4cb04972f42ae2bdf26cff0c84959dc0b5178f1", "8d44ac33d768fdc436c1b8ce995e2a6dbc4ad74b", "58a3d1e4745d047429facc96685d31da86eaccd4", "42dadeee13686e555435f9426cb9840fc085b23a", "9ecbf630838f24024f214922ff374151c95651e2", "3f6b59164baf2454e0befac4d8df0d29a9566cec", "4875bed500321dec353959a556541715da5c9d18", "40672d4c33a4525617f51564d620b31caaaebd30", "5e2798ab1e55122a28e12a7e7df3bbe70e0b09c9", "d63d1a2b4923c8329af590f5e844715fe1227333", "6becb2c0cfa7f8748ade49e5be4c4b4cd07a86a0", "17555c227941654bc19d613742e2508f209c6d86", "833fbf0e4be3ba82e7a1efdbc16813ee849d9942", "88babcb7cfa8e46f814c241e441c890285f6f9d4", "dc92aee7d44223cdfa85a8f196d24594703d6ff5", "feb171df36e33cfc23cc27b782c40fa49af64a58", "841c51b778300c04c4b9d2e13f4a728f0f564276", "97cd33a0650bb4850b3cfc9c599e4e4fcfd3101f", "1f06651fc5ce2c10cb1f4ad53dd9c931ceb66448", "45cc6db8414209773d1c5cfa8a20d53675af3209", "be5c16a3db2efd50ce361bda76837c019eaf40ab", "4b9374da18cbb300d943ddd7b43bbdc189b96778", "50d6dcec7f1fcbde647237d43950fa5ec59d6984", "d9b69093a82ee7cb9ad499c76c9b0d30aa377454", "264ae75f711b413954bbeb864db016c749eb9449", "2fe87224a5b8db29f72936c1cae17389e1c553ad", "3f0454aa9686809983063a01ae90e5945980c68f", "e38c7d4f8a4399f402ab6bb364ec662fe897bed1", "9d17e897e8344d1cf42a322359b48d1ff50b4aef", "97d3708dfcae89cbcbd260029601f2c1de4d7017", "56e440c651d53865d4a620d831452599b71ba102", "65630863c572a54e1390d4b7f4c29ed5e152a93b", "2c91faf6ac4c9fcdd4686e67b867a2b8c20fc3a0", "5e59284a1497d877c500ddef7f33cb91fc445817", "dc7a4d5ba20ca07d29c360b26e1e72afae9a77be", "6232160187e5d0ccdee30a022b7d9705dab7ddbf", "325093f2c5b33d7507c10aa422e96aa5b10a33f1", "bfc5a53fa3623c27950874ea7d338aafad9dfeda", "d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996", "80d31c8a700afc8d42e94709ddde1b0474d3435f", "1f2b28dc48c8f2c0349dce728d7b6a0681f58aea", "fc5e12966c447c8e607ba833506f875c657e20b6", "6a1da83440c7685f5a03e7bda17be9025e0892e3", "578e0612f26c05a40462400fe4839a6d9b3235b3", "7863d957faefe111c88c8b6c25628a38bc373918", "ae3046d2d03d5825cce648abda6bce8a1d4e443a", "780772a69b1556d5f725630dff8e79ec3ccb46bb", "1b793cc5dceb98c95e816aebc2252205bfd71569", "d2e09ba6e28152ee61814f3418227550bba1bf82", "71c21458a78b1f1497eb3dfbb78b61b854668217", "73733a003db8440db49060ac271a378df3894033", "9d67af2158807aa815b5a4485b076f7a18ce6ab4", "905794cd12e9553cdfdb9f81f2cf80f7dc5c1030", "c3ec7ac15f409127b2ecf61e8edc12d7500dbd6f", "220377caca34bed8a0081d48d153aecc11c211e1", "25474c21613607f6bb7687a281d5f9d4ffa1f9f3", "ff8634af92eb03cf8d869cb261f3bb7aef4bbe7a", "547a6c2a15f8b40c015c7515abf3680a5df74d85", "5f2a8e79d02ac5bf91109f29f999aa13be0983bb", "0c5a2bb5d1a1e9bb332207be61e13d0afb8f278c", "f7f7c3cb8b1abaab289eb87feb56d71f2d37fdd5", "5c7d7f44b0294d446843e4404775fbe5c9369c3a", "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "1866d61f6dfe2e7863f50efd5dedd06549ed4b87", "2cd510de428c496cb88b4207a7b6ca925f48dedb", "3d88180732d63a4babf3a4b1a82dd7fdf27a7520", "3d74ceb4ff1d06205ae781db4058394183803325", "ebb5eedb6ce41317971885ff33da17ae2c9e8f7a", "f6bc6924c91a749b5d9943065e93958fcfb5b870", "32d8194269faf6ae505a8d7937a3423e4830187e", "b05633a18a48d9c18735fd0a186a2654297ae543", "e8f753208fc354fa9aeb3fa9c6acb3d45e7eac7b", "334e559e8decadcedbe8e495b3f5430536cff32c", "27a5f4d813d355a33b4b1e4fc625e60ad072b64e", "da6cc47200291796c7639e8018b958aff589d9b4", "5fcde9236d654a0f92a76c1a3f07c0cad954985c", "49f01ad8e60882d0f3c450345251b6c6b499c3a2", "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "09f4e1064afffd8464e9fd558fc8ef7be5e33170", "bbbe31818a21f719ca0cc80329f2bf4cd2b0f39e", "3c05ba2e9c604ee036d4963f5f674acc42543c4d", "2d120c8c74bc029a14fb0726ef103c873a5090eb", "55206f0b5f57ce17358999145506cd01e570358c", "9794d69194ac772c3e92ee1f322a36feb3c16239", "7cd5d849212c294c452be009ff465ca7d3d923c8", "e059650472dd7bfd6907b02de491e312a0cb6d4e", "ba0d84d97eeec7774534b91da78b10c5d924fdc8", "fa2603efaf717974c77162c93d800defae61a129", "0b2277a0609565c30a8ee3e7e193ce7f79ab48b0", "56e6f472090030a6f172a3e2f46ef9daf6cad757", "45483f17551d9c6b550474dc7168ec31302e5d7b", "8a585ce808288cd761509dfc43f53d0d7d9579ac", "3ae3afd599203c7c68ea3b78dd2cd7391ccfd079", "c05ccf3a790e96b50cc3692f70fc676f24e95d18", "f104931b77a44557757b84405c41901e94f1cd60", "f6dabb4d91bf7389f3af219d486d4e67cec18c17", "ead2701e883174028a1b1b25472bc83bedc330aa", "ce8db0fe11e7c96d08de561506f9f8f399dabbb2", "c315a050478781da65556a745e01286ee4a8676e", "a2fe4f7bdfbdc32393ab6102c8e1063542229758", "5fa932be4d30cad13ea3f3e863572372b915bec8", "608109b7643145d3559c962041c76207a58a3b57", "221aef61ba240c04bf52eb2525edaa501dcae0b7", "70444627cb765a67a2efba17b0f4b81ce1fc20ff", "7644d90efef157e61fe4d773d8a3b0bad5feccec", "8112972b8a6e0c7f9443dbcdfb4ed65c7484f8c2", "d16c8ac2d194a6e862be0d1c4edf1ca2cdf5dc18", "a147cec1434753777b3651101bdbda1489b09fd4", "87b5eb7f6f5cb470bc409328e240bf5e6a408e9c", "e27c92255d7ccd1860b5fb71c5b1277c1648ed1e", "20af7f10485fca89c2c282e74016fe69765e4962", "e6276780b23ce2cff6e19397b5e726842f8a24d4", "afba76d0fe40e1be381182aec822431e20de8153", "09fbfb566a8f2af9df4d3a1bf5df00d0693a22eb", "dc3a92c3775c8d561f2a90205d706ef15238d163", "0b19177107a102ee81e5ef1bb9fb2f2881441503", "e34b29cb1f51e0c6a64850c67555ad7080253e17", "6267dbeb54889be5bdb50c338a7c6ef82287084c", "f58ee95c2c4bdb1432e15d981dcbdb2038a55184", "fcd945eb1cf5f87eefa444660dbdf94f5bb0092e", "7ab8e09cb7585c9370ebdf88449d6649e97fa1ea", "cf06e540e1cea9a915d8081cc75962f982a564a4", "4522a5ccae6f656e347211d86c2e6ef01654e4e2", "438b2a97cfb85fc4d11d19d5edf23725c3203d52", "ec91c6d6235f31c751b03489d7b1d472dfc9da26", "d7731565ec4cb1b910290ccb580405cb55224286", "cae25b66b485b5b76fb6f3d383b294f3456519a3", "0fd99990c9613434e7089310ec0214653d56932c", "a2e3c367995a238155f0b180743d5487ecdf8df5", "343c76120d0b213655ac8e49f1d87e883d519813", "50eb757c375d3b4f53f3ae70632839f5c4eb1cff", "564555b7fdc45938d813650de7a7b1cd40005aa8", "f1471a408369689e2fc956b417dce24e47557a38", "5e5e11e143140cc376db466d5b096a54b900c2ba", "c1d324cade724a41ea461db118743241536d097a", "45b9b7fe3850ef83d39d52f6edcc0c24fcc0bc73", "6966a0835b6e4627108429c5f0f0c7f3de20905b", "2cff3c291e03dda9ed6cf9747eeffc5642762e52", "e205faa8febcb7e33c482b00f84939b153575292", "04f701fc661b6a5f6324c9b457f3fbdfa1500c19", "701d1a2501eac11054225b79fc5cf13fa4745785", "8f93fa329e4e0daa0303f13c7ab6717c5615304f", "ebd36259defde84deb0d4c09695b54befe538ac8", "418154a73f02b11c6759b8101084aab9d4536b6d", "e592f6dc3bf1d53044cd59ce4a75fdacd0ecc80d", "d2dbdc7fccf6087c583e79f3303ef7e16b06b4cd", "efbe52289f71eca9a0aaa8a5362f73334fa6b23c", "81b4c5c0d4a804e5e6981b1f39386fb115592ba5", "bf7df7f49bc6b75568b008032822285cc09607cc", "13f9922632ff5311046229b849615fcd2f5d0c06", "f0e321fb86e6ecd773e7557577015f59b18c713b", "3fef3bcc94728f5061fc98cde610f6a602b06148", "a4bdeacbb5875881a970877970f31ec3b0276a37", "f42ef7968d66a93047215ecc8bd0a769deae7db2", "2539260c351df0c2b248f5f62dc26dfa1a00b35e", "73bfcee974aa6a5d589da07cf374a037bb0e3b75", "1abafbb83a617c1a63eeba8796fb49b6778db93d", "e78042d77765c0fd3c09651b679e15ffd6b7e8a1", "58ca5ac14af2765ce1d25c3a82d6f9312437ded0", "af2531b3834b92275a3353e4b2426217ddc4a839", "a4d5ff6f1fb8b304c3e6fd5f1a7abd9b5c52955c", "861afe3d2ddaedffb107b7040c67dac392731929", "4a992f73261cbe6e17a3684859ee26783b1427a4", "7f7f57fb6548fbce752ac4ab0302d0b7ef29da06", "d5b335d78e16993fa018bc5261e1fe9bc3692ea2", "1f989aa51b4fea5f109f8ae202c1df91910139ea", "05dc38472fd4ccab196543b8f48e3117b199922a", "c89e9028dd85a35aaa65be7830beec4448c2ba67", "cea973a31280003a434705dfb9edd9d99b601d1e", "87928ac7fa5eda06475881948f11db15c71ce222", "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "4f7147e1c7f4f8b6081366971053196a63cbf1fa", "43123e77108e059098194deacae1d1a6044703a2", "215a3616f4a6b5b692282a0a7351f13071e4beda", "afc00ba70fa2e58f4f291c4008eab82ec1b22c7f", "3aa9d370378bce52238f2a8290926949ab38f0ae", "08d0612dea89d7fc231a5bcc3e62998d804412b3", "807104a0cf165257beef2dd046259b9f7dfcbd3c", "e6202ceac0c7b08da2f51ec1d9c9f1efe53d0402", "c91da328fe50821182e1ae4e7bcbe2b62496f8b9", "0a0ce9a865cbfaab0b0121e6db95f95ca13640ed", "c1178a5e02338270c18d3a80e40e3d03c165586b", "01f5689a4010ae14ca444c36bec81f12ce528912", "47ec1950808910a541c9405ca6e9d8caf4b15891", "b0807688d1551fd7a80722a3454ea53f6007ffb7", "4347880f4ce93504e6f586ccec873cbe081cf9af", "4622d4027f807083e10d1ac6c3f5539d2167ee45", "1fcd7978c6956fd9a0d752ecc9f5ac1a1b2896e9", "da67293fe8ab15539dd045675fa2395435f239b6", "a77f477cf52d3dd83b08ab7cf87acb2517e90587", "fbb22fe488b1eb973071ef117a0dcad9ede1651a", "8e378ef01171b33c59c17ff5798f30293fe30686", "397400dd7c31e47f8dec20a742695abed297a150", "03ea1c3f867703f840c0e65df86e09055ad6f774", "7ddea8eae04ec694c69bab3ab28a4ece00b3a07d", "73b98fd6cc481a12932b9efa1c0c6ba4e49d8c3d", "c1e8dc4df76297a91574066e65eb0d1054e37e7e", "9cdf1e7ae13309e5bed41d609dc1ab61d134b24b", "e74a2159f0f7afb35c7318a6e035bc31b8e69634", "aeb83c009f37e74257209204d463c14982a2c64f", "79ade61f677dcadfc2b46444d2e0275d25ca1f06", "13fa2c37bcd9686232765e663e00b09159b9a846", "28c14a6c64518c21888afb2d73fe8dff633ca4da", "e648fda506496d7ac771d47926afcffbc8504c95", "2663fa2f1777dc779a73d678c7919cce37b5fb61", "c5a72b85b7a8a6413ab59d44e074dadd12b2dbad", "b270a993d03e639fffbe72c3f5c4b8f3564290a7", "112f76b909701ab8e64f5909981ec91fe8df60ae", "53a43a5e650d0c0857f856df60d8a90772e542dd", "ca458f189c1167e42d3a5aaf81efc92a4c008976", "85c1926ea23ff4f472774fec8c6a993bb499e4f4", "2dfc48168c0de9e6c7135293c95b7d794fcfbbbf", "eb5769a873e4f06c6813fc4bc21cd2c46a269f3a", "9984f16ef4dd45d087b3689ef8b8bd42ea74e1d7", "dcb99b0de664e17b1de205dd1aad327414ea686e", "287627a80bd51b1da4041273e584a188a8992de1", "88e6c221273af85e8736b4b865ad90f9a1464480", "6006010ad0d9507d5ad31f0bc7f452acb45e64db", "aa49556ee4f1ee3fcc9f0f713c755da30b0f505c", "aad3c1a6a8dacc4ebf4a8cfcb555d5f916d139dd", "727c8c696c6acc04e57b6c3541613702c22c6f0f", "403ecc19291f21db6084db5c12f428e2af91ed3d", "11e595afd0c70b1077938f7fbe547bb163fa996c", "1f1fa3df05c2e5fc41cf1368440991e73b5c34e3", "4ffa207907910091647c73fe5b1c448f2e6c4e76", "043c682265532e1dad18e68f269bb75d162380b6", "ac2a8d9011a0eed8df15416f4771f9b6126bbefd", "0e02dadab802128f6155e099135d03ca6b72f42c", "84d27f9027c208c3c09f1c8c9baae9d553c57d54", "f0da88d34a56a847039b35b6fbc971671e13cd53", "f1e2dcaf6ca82ab7cf00b21c9f4b78f173069ed6", "602f772c69e4a1a65de00443c30d51fdd47a80aa", "3255f6cbc14fdf8f499dfdb543f899b240708c07", "fabbebafe1f7b1680f66edc8b4fff345658a58c3", "0b609b048b75d45fb17bf1e2763d83735db7d7da", "419f05c5888804e0a9d9f2dc60839f2d8d65a7a6", "1bbf4275c1dbe3203b0e2261114850fbe8ca7e0e", "9b4532181847d2a28c059e3c07a45c4ee8452cc6", "2038f2051118192320dd86332a128f59f1532865", "36513f869e5ba2928369014244dff998ab93728c", "e8aa1f207b4b0bb710f79ab47a671d5639696a56", "938566dc8ee83a12d07e4d26bbb75e65ca7963cd", "03e83659f0fc98dd03c354a2cc7a90d585ff9cf5", "ff0bcbb588ac521c055f9214dd7630579038060e", "274cd31032db89a98b275af408ef5141a4d7b59e", "e113a840e088d07e14349f979d21a18d246a6217", "9ccca698224219cf48068a0d1df111ce209a0ebe", "5543224d6f8e22e7eaabfcbc4bed9e8a9451e3f8", "38a9b0963a279e7aab52cd50b095ecc9f8e6da49", "77cfe37cd98910de3601795131305bea639a435a", "5ce4968e87c23e73ddea484e8a2d28e245ea48f6", "10e5b4d4be3ccbedbc0c67a9c30200e6d79e0283", "c7f16174007010dd0e681aa98b835b53012aec15", "622107e35327a8759b967ae6a6c654bdab738f91", "7660adafc27d31f582a6b77665dc24144cbb4b6f", "2c6556931ba314455970d9a2a2887d38b1bad73f", "80f53cece53b82915e096f3ad1730f9ce7ee5808", "884e1de068accb6cbdc8d3e1bd590a033628baea", "0f1d42e1296474c9211fb57604574ba0cae4380d", "19b0ebf88a4672342429526a683d34ae5f65e4b6", "5d197c8cd34473eb6cde6b65ced1be82a3a1ed14", "577f009d44839e279732ff901ebbb6a09dfb9fb7", "745e74ae84e1b2b8690d07db523531642023d6c4", "067a40d9fe0942abfc8a31342a95f165a88ca5d6", "803803b5c2c61046d63674f85ecf0123f9d2c4b8", "e7e8c0bbee09b5af6f7df1de8f0f26da992737c4", "853d6cfe9c08c971979d1dd138bb21c25ff750bf", "e4a2289ba094bb60f010a7bd0b848b8355a76ac2", "34032cf0f94cc6645b7fb5df821c72039151c0fa", "70a39bdc6da0954d584879cfe61ebbfc81d1e931", "09ce555219111006529b4185b4320cc21605ac79", "49812218d3b84ab65ddc52fd2e7e17c688d2dfe9", "e76dd43bfc3555c005aa5d725a226c9bf4b6bf6a", "ca4580c5c5d8475801de42e493c5f97096677927", "4c2eda1297ecc45b1365470698c01bdeecb5a1f8", "ee570863a3c2d5a6197caa763dd740dd700630ee", "8eb115a8dabcd663d37a35898ede63fe169761e3", "ffc9d6a5f353e5aec3116a10cf685294979c63d9", "2a83a51c9596ed796da52bdac49ca30e4eb04345", "fb4a4e56124b1ca1cac61a3dddd3490ae8291d64", "32c2d12c7098a61d8f0733f3044692b2ee982d3e", "e7bd805c001e04b3c015b7ec11497cd5247a1a77", "0971a5e835f365b6008177a867cfe4bae76841a5", "4512037737ab217cee118a07c5fdb22821eaf3fb", "d7d6d2dd2e9c205eccdb59f61ec11746996863ea", "6c032a08fba885960e531a02641d121b81cb7c32", "9194c206269a09c251cb3d1c878f9f11639b053a", "29a8492f5aaa212ad81c2e903c73937e7ced73ee", "3b9d48a09510ebd8bd5045ba455279abb0a9baf8", "08e0073b649a3fb6fac530267e3f32eb8e67c5fb", "1e0cc66573f4e14976c8fd75cabc0b6cc027e4c0", "95d0cd902ff0fa253b6757ba3c8e09ce25b494cc", "eb4d3a43151691c47b5b7bdd06c28ee6a05de36d", "a60d1c8d2a5f28ee2ffe95e7efebe4e45a9aa939", "bb667cbbf050040fa39cd9e756cd5bf485fccf32", "ccb01a51ed204da01a12728bf168376bd2415b38", "518ad8b4e86cfa9a7a7c14a95c524276569c9c43", "0e979422896f63a93ab463af9eeb0013f6c5abb0", "8a12ee3c98b76d99531d5965f15bb77a10ec2569", "d78fb5e8da040b7f20546122093e50812ede8b37", "95f26d1c80217706c00b6b4b605a448032b93b75", "3d6229044f6605604818f39f08c5270a5a132a03", "d5cd99e251773d14ff06033d0bee8674a5f11def", "4f385f862e43424e4ebee369e6cab8a93f740507", "d07e9b04c1480d65e37e44bec3be95fc3206c17b", "161c9ef7114bda7c5a60a29ee4a3161b0a76e676", "ae54407c898fe156e83fc2bb8fbfa38075200f7c", "3123e97a6b86913d994e44f8d9d5c639e0e2dc96", "4179a8503a98ef98f5fe39c49642d6bd6ec15555", "b2c25af8a8e191c000f6a55d5f85cf60794c2709", "34832c7177a2201e9368d06ddfe9373aa68ca89a", "22e482d9136b5eab65b7e3eb7ee1743c1ad8167a", "eb53175fd51b46780a41c4b797013d80a98c2686", "9c53a8657e69a2da5e4a589238bb0e62c896f47e", "739d400cb6fb730b894182b29171faaae79e3f01", "52f6c7506d5d2b4344d2f00aeb3c9dd1112eebfb", "a0c70766f1238f975db0ba687220ee78271d8b22", "96e7a8e435d67604eb9ba561991b9f7a65eeeb67", "51f311f724883218bcc511b0403b9a7745b9d40e", "7378f7f4165d28cd1ead2a8c0950098694163337", "42fe79301fe049dbe4ec3ca49d79127f126a565e", "661c16658db873efeee3621603fe6bd53eaffac1", "5e4ad1f19e88b6dc87000f64b984d8f09abe7baf", "0fee3b9191dc1cef21f54232a23530cd8169d3b2", "fb9673f0373ca4c72fe9059648ae618d45fd8c90", "0fe23b1530fde4bb10959e811216ce16fec6b4e9", "78522d87381d70a919516f97c9dad9480fe064e9", "3851371dc4584e4b3e90e9b3172cd674e5e7ec49", "95f7dc555d6ee4deaf3e30d4ed4c8a806bccb424", "d22064099b862eec0f430fb62a587dd888d471f3", "1c7c477d8b7c4fec273c9edacb8135747a31bd59", "2633ee01b41edf9df7bf399e55e14d0c7412523a", "ab05988c3af93e7753de79996cc409be0a8d2bd1", "c61f0003e2626f456e56b2356a87d090cded520a", "c540439a8e9280264f314a89f8de2672ebe06bdf", "714947e4d7f79f753c5c44eac701185e37086276", "88682b2258312103ce9f1a440e3a890612547e65", "d9bbaa38d7997f334ef8d662fd2ce380d495545a", "8caf100798c9a20db95acd7e9c73a6f9c3fe6c30", "ef9b8724f857daec94690d03764dd1299d0cbbcd", "8a5cb84819e8e03dd99d664cf3127eced5fe11c9", "66f8115136a11684e3b95c5aaa1476a871d58a66", "a5bec55a9668b103265bcf84ecca94128a6769cc", "e3fae8109ff2f91ebfa1bced01452a3998c40ade", "9a4db91c5af7866af67f5b043cfb448170d13090", "668e93e89835ec662d21cf695b7347339ce74c78", "50db43b7eaeb427e6e3e1d945f77d86f21a03b01", "207e91b23253545c32dfedf71773f5af1dc88057", "5bb78acceaa89675ca777f6c8071bf6ac9987e1d", "4ff1ac4e66bc545275c83bc2ef1f3fb8bc207aec", "074acb048b09fc95a2201ff00f67fd743b73e1fd", "1b784f1f9b93cbc894aedbb4223928dfc74bda10", "ec5b793ef2f8afbf2bf914204358fa7319ceab10", "6580712927e3b01b35c557b8cc9dd9849ee8fc0f", "f9a9c8b36ccf107e65cc1d8da41d572e43da0b82", "d25f5e3cb9ae6d4c588f950ccd8063d5c9e11781", "9ba3e2b8b678910c4fdf379c278dbc007c19aa38", "6472df86bed51909f7b8aa0631f910db5a627c84", "acaa781f353c769ae5f6101aab140f51b2d33cd2", "2757ff9bba677e7bceaa4802d85cc6f872618583", "b03d5ed5b3f253703fa37d6445fab0e7cdf38ba1", "9cde4e4c1310ffa14fce97bd10d323ea4c46e187", "3056a5686a404a862807f7aa7c70312bc0225e0e", "1befea19da607cb9f797c75c37f84d3a78ffeaf3", "8a38cd388847780dd6757d77b3eca8cff51bb182", "594f8f1abe570ee3e9557828d8f43c6c8878a9aa", "d9327b9621a97244d351b5b93e057f159f24a21e", "a77342abe136fdbef8da9b43055356e3596c570c", "1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac", "0997f69e081bc460923a34e55b525a2aa3c4548a", "c7fc1a9dd3c0b2653b0c9ff668cafaff7670da92", "54fc77b3b3f8ed657437c4048fa6fffea6495b30", "5d56587ee5652fc9bd7e3bdf5a533b4f627b6487", "ddd6ddd596265d035fba71e3567f168655bf3e73", "94ead515ed260ed54b1b9df3b63d548e368be801", "457abee61182a320b301d73ecceff00d055f596e", "eaeababea109602e6bd4fd0aceaf94b3f6c91070", "fa9f2312fd0a4eb5bbfadaba9dea47ccd34453d2", "4ae1b8e74b304fbfdaf681b4626dc3ec00d69d54", "91d057823291857ec6259c2deb9b7c95d4198154", "7225f3e81598351aeff47c79030f71a24a34934d", "9ef17e297937a918b79e5ab72d1a1e3868d2d65f", "1d1caaa2312390260f7d20ad5f1736099818d358", "4cdfef0fec0918dcf5c40b9b53c9e3f48be0462b", "63b119a8736aa8f28d2fd09049f9207d0d6b0551", "a8eebadc262594d1ca86d5520f312c1779d00b33", "e0d15d47c00e35d8bdc7ee4a1dd7751a4783a501", "dd30d7e32046c333de78a9380ac6b76f4ce307b0", "9d35d4fba9217404a7aab84a7d09e53c324710be", "18bca470bf51f5cc42148cd7e34fa58280be8eb2", "fafa295d64858756e61432f06f4e1d62b528aaac", "691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc", "9b7a41215af8950ac8cc791aba4a90e5eb908836", "b944cc4241d195b1609a7a9d87fce0e9ba1498bc", "0b50e223ad4d9465bb92dbf17a7b79eccdb997fb", "e82360682c4da11f136f3fccb73a31d7fd195694", "4407cde7ab8fc38ccb22f2799ab6f0ff7ab65283", "05caf67982ce3416a28550f291211bd1459f9aeb", "166290d850cad09e30f883165d4e310f707d5ead", "fd93275f240d17b7adc22d5e1139379265fcf011", "34103d6e466b47ae820612e527db8cb46077cb13", "192bf10c12bd5872da6989302d7cfb47491c7a6a", "c285789796b61b49b851c6658f5bb57c1d445d2d", "66313d48a6352e731e40450f80a66c64aabae817", "acf70e967b069fa66dd63e85261ae6bda526a749", "41de109bca9343691f1d5720df864cdbeeecd9d0", "2840f93cd2487ca9510ede0fd2e8ab1af8cec6fe", "b3effb96c09eabada94f9105241fe66658fe77b1", "d3fed81785d47fe6f0de68eb378f18fd2beb03e2", "280d59fa99ead5929ebcde85407bba34b1fcfb59", "0da3c329ae14a4032b3ba38d4ea808cf6d115c4a", "c6a6e517660eb640adadf6e8fe262fe6752939be", "c2b8b49526e3dd537b641a6495e49a3d1a0ebbf2", "b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2", "19bcfa4a4ecb3b108d4a3c07d29f8cdcc1e78498", "dc2b9fa93b4fffe066e21e6d20f254acf27e0988", "aa528ffb1c392d519f1183489eccbafbc85c10b0", "260fca0b9eb144fc54f1872b8cc418ae3fdce756", "25110f89ffe3d3c49945b06771d0e27d4a2761e6", "c1e02305a0fc236fb737afb02d81ff7d59f14787", "9b74de11c62ce16d0b4509554556e6b6b0d4f5c0", "a2646865d7c3d7fb346cf714caf146de2ea0e68f", "24d62eff4e7361586de40b34883cdf5d16ff40e9", "ec5b6f284bb5f23c7c674f53adcd966652cffe58", "d2c92121d768cfb966184418205f9d92fb6c9e28", "163738c0f74ec82ab670a868a051edb732543b6e", "8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b", "5735c1b752f08a8263ba0d7c52ef5607f177f343", "8f7ae27df3df63f0f9a0a8d595bd95f4dd6d2589", "302c2293e36e0704ccfe9af759a8505df588eb07", "f4ca1d5132ce75f9ae9eadcfb055410024e6fa36", "cfbfcf538c1c9bbf170a524995098fe4aacde374", "263ce02126d9e5f861eff30b3170eddc158018bf", "60ec284f67c1012419e5dea508d1bae4bc144bb2", "0eceb033643fbededefef1815ca7cea3b47f4a1c", "1bed38bc216f80a50617afa5c6d9cc4b2db72519", "e7beddae52b1bfe952b0af2f4dd1b29dba9061e6", "d2e51df571802666e3f224be25d2b7715f018c9f", "927ad0dceacce2bb482b96f42f2fe2ad1873f37a", "143b54525bdda1f83965002616a4e7b5b9f523a3", "4948c1791412cf13b770d922399c625527b51a6f", "27ae7c8c650ffef74c465640f423d9008014e1ca", "7e19f7a82528fa79349f1fc61c7f0d35a9ad3a5e", "e4aaaf7034201fa94a9b9dc9bc8915cbe01c2c84", "590c277e8ca10f2c2d7e32eb4a9dc61078a67b96", "e362aef53fd4e716adacfff443f7639339c0b88e", "2b07bbaa3775c1578a7e5caee3a3438ec229f7db", "dd0086da7c4efe61abb70dd012538f5deb9a8d16", "d154df56ac4382a0a81eb24b190bdba240546d87", "ae3fc0955509a9a8ca2686eab5b445af8e126524", "e3d9b54f74b7c8cc8d1cc96fac83cd88b7c3e09e", "5134353bd01c4ea36bd007c460e8972b1541d0ad", "937729cea19a955147e059a6f0ef0571cc6785c4", "1a3f7b9fc451b54110aaebae56c65413c620f6e2", "7d3f6dd220bec883a44596ddec9b1f0ed4f6aca2", "27405836469652ca9bfaf948c0c9dadd6465a566", "eac95636c09c5335a8f27d9fe26c4192f78c03a8", "4ba3f9792954ee3ba894e1e330cd77da4668fa22", "86b87fa14321f2ca8a4e606cd4de17763dc48ace", "d8c0a1a5f556eb5c7640133374c87c393f0365d7", "077c0c12a6c82c50a2727510f0d022388bea3aa2", "e67e757a3d94b71b94e16c5a6a90d77bf61e9aab", "9055e7415beb421a861df974147394d09e442bed", "0f41f1a4bd5141184ee3ed3cf8874eeb396d7862", "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e", "64be271fd50fce1cf8434020145a1b6e16f75c1a", "5d603a725a9ad972d2096eeb33828ac21a8c8319", "6ee5dbbc167167105162abd888ca4824a048fae0", "06b7713df895507720ee9cce4eee199531c018b9", "098f1939afa5a071e133c767ca49703b16443b9a", "54ce3ff2ab6e4465c2f94eb4d636183fa7878ab7", "d3a793759027f2ca2f2df750a0495ba61e67cdad", "d13bd433a26f716034002e941376d5c5c310b7c2", "30af3e6e0165ebc9a641420d14ca285105550205", "12c548d99fdc59bd702910af2c3daa17ed43e5d7", "ea96bc017fb56593a59149e10d5f14011a3744a0", "6b9aa288ce7740ec5ce9826c66d059ddcfd8dba9", "86d4e1fda741cff189ab0edf6e62152c46740526", "0781a36b81d40595e8b38696677c836509ec6dc6", "57cf990bb3d64668614787708efa7cb06d548d06", "5cd34abb1e96e0c11f427364e40b1e87d6fc62c2", "8bc814c9653ef7fe248986788dd2a53375317a3a", "e17783170ecc48253fa16123a041ae298184f4ff", "4f854d04ee27c61c33b7437e21200ff0d811e064", "d46d2a5a34e0add63c5775e7eb5fb624f0ae6d8a", "5d9890831e0628b4f1bf46084d52baa6405c7abd", "048bec3eac2ab7ca42f8b67d0effcd4e85027a5e", "7113b51f20c01ea5cbe0be04c19588d20f432f9f", "eb03f0ddf6e1dbed41bdc075df8a5c6c136fe276", "4cc27210cfee0780f8a8f0d07635d33f15eec3bd", "10689c0a253c858c898275b819609e3dbb6fae25", "bb85ce38e114489fca36a4c5ab09a500f04edee4", "d4ba8d84358778e1ad4c5a7c55dbce12753a1716", "0e6f422c3f79c552c0c3d7eda0145aed8680f0ea", "231a6d2ee1cc76f7e0c5912a530912f766e0b459", "2809753376c4a51fb88fd223acfb91ea277997e4", "36c8f798145902583592a03df88a6043baa11fe7", "162ff332f98f3493a96936d5c1547f65364097ae", "4678a2ae263e7952887df31f76ab404df74a4649", "867596b7c4a2e108dc5a024f85cdfd77a574f5a7", "b7850320d321b0e26bfbdf276b2c42ea14b10cc7", "4cec3e5776090852bef015a8bbe74fed862aa2dd", "19843ae1a237b7463e30207ec94f5a294bd8d0bb", "68df1f746a3434ee8bcc8918d46809ddaad38b12", "08f48d8dd64328ec6c91cf0de8d19e80e65ad52c", "d0326153e297c18e739ae847d2bfaa26c1aa0a57", "4c293a98e929edaff6ed70c22a844c04e604e9fc", "e8db9f5b3ea405436dd5dcd247c85cacb5dd3969", "504647a7403216470e1ab57fa8be3f97fd802d3b", "4bc411ee896755862158885843900c8bdde597c0", "0a3fa8e6f158e7faec024d83964751a5d59fe836", "36688a79cc8926f489ccb6e6dadba15afbb4b6a4", "4e25cd4e40494aa5073fcfbef7506336b84152f4", "e57dccb1d6ceaff28f3372483600c857bae20a90", "6ba5e90fc9bd0165d9459cd6baa44537a21e2c53", "31cd61f05ea86a3eb08e06f1d0c2aa810805282f", "dfe823d9851d222f299ad26283c7de4b4a3941e8", "087a1f9c2846fb1f9d7c29a0f042bbce929bbf5f", "4d36499a93981e1dc0594d5b314a9ef0955ffe6e", "38ebbd3b9ab655507cb072e313a48ddec78798b7", "38679355d4cfea3a791005f211aa16e76b2eaa8d", "433d2d5528d1401a402f2c1db40b933c494f11ba", "bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc", "1abdf07ce2fca11a26222dedd581b68b141af3f2", "68d459ae0aefcdbf8babc47f08249b68d2f13623", "4022d4dd90e1d06f34024c867537bf571b44575f", "6a0f62bbc27e5e194cec81e7c24a9b57d698817b", "6ab5f5d12542c28b552e7ad1ab2898fe62ed5f27", "a9722d6d3e51f3e135bb498c3dead227db63dfdc", "064f14ba37381ca13286ff782a5b9667af9d5822", "1bbeb8139f9b5f0bd1f125f3cb02321d7f08a250", "ceface94e4c73ff1458be056caf2c8312fd1a515", "89544519aa58b0ff34b477a769ee1854930d858f", "b0c651f23516055583060e2197756e1390455de5", "1d5580b1dde791afcb2da812d1e91cef33eca0be", "9771621830b7068e1e25ad378b40e334382ebfa3", "15affdcef4bb9d78b2d3de23c9459ee5b7a43fcb", "eab4046cb0a4f7debecfa55388256fed7f3ee677", "98863caacf9f522db4a1f37963498db3bb007b72", "df56f8e5a822c40f4463715bfdfca2fe374bd1ad", "82d781b7b6b7c8c992e0cb13f7ec3989c8eafb3d", "c8c83ab64d99b16ef3248cbeccc95f7049e324d5", "0ffd230f2f1ad98a10fbc8a5cc39099922e833b6", "2e9c9c0d01e6012d530024b2399ab5e77ad31a0e", "ea482bf1e2b5b44c520fc77eab288caf8b3f367a", "0874734e2af06883599ed449532a015738a1e779", "cc37f5c056d78cecd7a44295661b5534fbbf5fa9", "13e6fa2884bbd2a403acf04d16d6c58642855776", "2e74cda095fdb1a7100745ff3b19190a1b2d0b0f", "97de882a75b09efa53c8d39a6921cced2173414f", "d455673be81868de822f3ca9a7f3fa13d4499ad9", "0cdf238fd44684b49302c22b062772e7c66ea182", "f157daaffa1754aae5963d9c49247142b07c8d4a", "0d881a1b53f843f67608cf10416092a627178de7", "318ee553c61888f2418280cb1d342c698d3444c9", "ac6a9f80d850b544a2cbfdde7002ad5e25c05ac6", "8111eb725133da1f0128967bf8cf488dbd94ce2b", "c7c405b6fc95ff2ccf2cb5b59942db4343558fc4", "e7893712592c592eeaaf1c7112aee41f6d2d3998", "0c642068ff8e4a437f8c16656b08d1ce3c47d59b", "2ffd1e152e4d322f03d09be3edfc162508b9938a", "81d91eb9fa3fec5d198b4522d5c373e55c0ddffb", "0d185e6de595bd3844909d3606e9218a498a9bd8", "42ab6c438bf5a6e0e74cc2dd9192a12f2406ca33", "3ef33cf952e5aee26f9b249fd3b2a68ee13bc849", "196b492ccb0127a645d7f1892f29801d90710659", "ca973e5c478895a63c919c5fa59c4aa283b12c0e", "14151238780bedb19c585ab3374b3240d61899b9", "ba3d99ecf95445734c4f98e6d2b61fc98d31f21f", "72eab1e61706519e8c05cc042f0597b439874413", "f3b46ed02db04594204b54c17e88341d7dc22db9", "75329ae46925aceb6b9c10bb1fd118db434e1f9b", "ab3bfce47b3582d4a21d80b1b1c95bc41b907db3", "32b9bcecdb2e3b1ff6fc58586249271bfe07551d", "42ae348a6526c31e8ed88f79f6f748508c532472", "bbcf6f54d3e991f85a949544abf20b781d5ba2ed", "31531ff4f106d1e196e619b859d0dc510e01c5a8", "49214332796abe6bc4dc9ef18ce4dc7d692bb404", "06687e82ecc94f716d86d3e9f6bfbd30655c6631", "f8e51a8124f4a393eb29cd0b1c52f347fb82aa20", "8d7becc3667a0fb070e27956a6cf6d66be38f19e", "080ab68a898a3703feead145e2c38361ae84a0a8", "b14c311050cb1aaf9dcfdafd87b55a2b5ee6b928", "03563dfaf4d2cfa397d3c12d742e9669f4e95bab", "3e6b70e5be3dbe688866d8dd4382ce05b201fd28", "c9e301c367fdc9c2dbd6d59780a202f7be4e78d8", "9e36963aba45f76b9ee5056a92f1cc10894f7a77", "851136b1d3f345d0d00c4ea36c66114444d04305", "09b5b34d06fff4c76866d92516108ac68ac25ccf", "f2ba98d57341a11a7c193cf7b4e82d22947644b2", "03acea7cf22f2b11d29bc3df973884c84e4a2475", "e92548bba37998b0a28bb7a697dd41f4db006ab5", "6c06452671a501edd6fb66c2c05ded614045a9ec", "2edae6fc9234fcdcce05c7879df17f568702d7fd", "eac6aee477446a67d491ef7c95abb21867cf71fc", "66e5c4f051c49f0ce0d521c53864b211c6ae143b", "bd866bbbaebc6bfc9707319312b44514e679f670", "632029daf2a667cb87cd3078a853d68412ea6896", "511dda02d39dc8107ac385ea8a572970e2eb9b7b", "072c5665b700c7b5da541bbe7dace1ecc870ab8a", "9c430bc3aeaba0a037b8a5e5804ea2f4327ddd65", "8432320153aa3a348138e27ef80ae3e8631bb6f8", "8e12bd55853967419e7383c30b81f043e1f2acab", "287d0f1c15d40e9f3a851e4bed0991ed5d642c06", "c1ee2e1d53f9ffc9fca5e3e8da7c89dc2a2133d9", "9cd2335f56bfc7b5eb509e138aab5e7838f8ecc2", "2b249bc1370339eaf221b1c2a3fcaab37a629459", "4e4fa167d772f34dfffc374e021ab3044566afc3", "10261848b16292a5c8c700de6c6c9f692867c9c8", "a3c7698c57a13fe914b1680d2762d4fad6be8bf3", "0de97a56f19490c4c325a7d06bff9f37ec7cd233", "bd289fcea977df33d18792a7ac02714fa50d493b", "2786b6571656b8a40776dad6899532d7863ff4f9", "347e62b6a241462b192622f78413a2c724deb0aa", "b8fdd124357113b374dadd5623c3e4c60b344453", "004a1bb1a2c93b4f379468cca6b6cfc6d8746cc4", "6ecd8ee110381e073fe6b4e79029fbb59d2b0e02", "4d39adb04c8846099f01cc12b5d22adb257652d7", "5e6d63dce8c41f1a4414f7124eaf8be9360fe485", "e4fb1e102393b9c2a83a054cb8f96aab5565505b", "9e89c9e40ffd1848da10a2944edf4f7c72ef15fb", "48b86173d5576285f07a7d0a9c3cbb183d6aa63b", "18260aeca5ade8454043f8a2286779d5853b5b32", "4aff9eebbf4680ac8cdc2edcf650e4c467ce633c", "f4283348b7d85610c0fc3c93df83caaf52977e3b", "417df443367334351111a064a601355450b2531f", "62713c466be23af553fb7aa59fca0fda39e94f38", "90863022d8593a70e574816e6a43f1fdab842e27", "6613d1331e51d0b683e9d71def1868a49fed0a5b", "77b33810d6b6b1d23d89e58112e6724b8e96ed3f", "0a52919e4473eb7bc20982094e8497570d797b13", "825d6452747852c8d0027124227ea8b562b28a4a", "3d58204f9f89b66db916278dc2d269e1f79ffc43", "08a67ddc62ca4d969bd9b918ab49c09b1ad40928", "7bdab6e725ab1bbf8fcd6d7c451f6c4cc215ada9", "05f4d907ee2102d4c63a3dc337db7244c570d067", "031641e5ce5c444bc197ac3f7083910b077dd5fe", "51ab4022a10fda7324dcae2729ddd117d58d2b87", "5a2c5b50437a15ed986343c60ab5f3aa8b02ee50", "08f69a82fae49a4a1f13d06cae32d77bb8e5be1a", "1624cf2321d6b06216ba0be9c13c23b340de0a52", "09552faa3cc5755b307425ef2926c30d54d2f524", "c3b5ec36a29b320a576f6b9e58188b505becb4aa", "f4ce7c36586c27783a1b0e737c2834f39f9d029d", "0e69c94f1fe4659cdc69a5b536a764cd7a373395", "f7db1a670a99fd68dc3c6478eb9aeadc2838a897", "75b6992b30b8e1dc8e9a916a166407050288167b", "e7c96fd067bc622abda2015cdaeed0f462d21df6", "69d5a48077ca6f61d24d7c787a5ddfd2d4ca5b36", "687e17db5043661f8921fb86f215e9ca2264d4d2", "9648a3790c62cee4253299f21368ce8028e3c8a6", "a86479f15fb728b29f98c9adfbc6b06a3d3c83fc", "5593a505984b55dda96f7c564804ad57eb002103", "2a9283b65c8f04cecc8fb6a2cca5610b18a6f677", "42fc202713cb5205bba8be8a3b85a8be1e65d63f", "9398c7ca42671dbfb1684a9fa5213029917ebd0a", "ff2e25cb67209de8ae922abdfc31f922b130276e", "0d77698da4a672b6b6045832c92ddec05787120b", "a292b11f0bc397c0bd8551e8eaa259bc30fa6f34", "3da4fa2365c01f53180050c7d332107089d913c0", "b2f75a068cd027c81b09a2f94dd29cdfb46e2eb3", "0f0146855de3cc6e0fd1e3c6a7bd0d3df19653bf", "ccebecf0e24f76262d85f55712010632ea04c0af", "285faa4cc54ef9b1834128705e0f96ad17b61e0b", "30ef88ee401f70cf43b330b475d30f7f5e722630", "c6ac51ba7e269d4b6ad6a1772fba2039e1610d78", "2a7b1257ec819688b46272024855c1858e031db6", "ab954da6c71fd5d98cd92fbac763c6aa304ee4f2", "70696186584d663bce09ff929db0cc32ce81cba7", "c86bdec7c4aa6aa1b5872badb5e48193ff5920e8", "fc0f5a1ca6b3a004c15335b80b457ccf09f94d6d", "de69410bf819bcc6d487de3548293a542c381e3d", "5809d5eedbbc5d9ec7e64dbe1c4a9ed4f126ffb6", "c52f2a00fdbfb7fb10252796dbede6403e780da6", "ac37285f2f5ccf99e9054735a36465ee35a6afdd", "8f713e3c5b6b166c213e00a3873f750fb5939c9a", "5a8d20ecd92d22bf077208a5e7b1bb008a9b7dbc", "3af2b79c342d80900fe32f57755ae3a555d8407e", "031d22b08d9e8235f46679b89e273ab8723d3e67", "b2e7b1a8bd7375a043ad4eb1c88dbc7d436d9634", "e0239297b28ce5b57bdd803bf24f4394e92b9ede", "1bc8cc908cd722cf560b36e14a3333bf7b6114f4", "d0bb66773b387ff4d75fdf61e0c52006057f553a", "0b64351566cc0145ef9c963edcafe8229fcb1fd5", "6c22b549d854845c5d2f17d75417e4469e6d3f83", "5fd17c035e032618a6f844965f7e959d304df455", "87f0a779ce4e060e3e076df3cc651e0f3f01b2ae", "997ffa2cd7f3c7ba3730fb348c9804f3f575f32a", "bbb121177ce1c2a7ba2a85aa5cf8e2b9606196de", "66c0fcf637bede76a6ea61b58655c5fc7e890630", "fc6eaa5f8c5c437236840929a323fb7122ee76cf", "6926676e0b710717e373926e1302bfb441c5c503", "3036e85864daa85935d1cebd28738dceaeb2194b", "efd4bc3a1850f8f3380f14325baee1af182e1f39", "98aa4bc56aa6aa15735727a91bb3711bc90e73b2", "f41ab9de6b795a4709a21ab265166c58fc6ea362", "0f64e26d6dd6f1c99fe2050887fac26cafe9ed60", "0ba99a709cd34654ac296418a4f41a9543928149", "6e443fe29b4858410f5be57e36dddfc8a389d285", "e3faabdc800d2400f072eb5b48e9ad6dc94d7625", "3fdbfa10f6a640aace2c29593f1bf55daf70d6eb", "7ff1c4e0ad0dae92d4f25b93783fadde8f07276d", "127d16add62d6747481d23064a302fd878e33b56", "0c5ddfa02982dcad47704888b271997c4de0674b", "e5e9e7cae71b13aabb30f6fe1f97cd153400be6c", "61955df5dd9f62b839b61ad6d4e5bf2ab887da86", "1d8a0d9fe19921b4fab27e200aafe44cc76b1586", "91ddac7d1d63c52cbe30fe27674b9c1e54bc584c", "c1a18684feeb2b966e2f03c2622f9a702e14204c", "bef503cdfe38e7940141f70524ee8df4afd4f954", "0fa9bb6df99691957f9dc16926f5981ec76eede5", "061f8dae89734c6e2b5d01ae08d3883b1c2052e9", "39803a9c075d543e19384d79fb4c36b207892179", "6403707d95046655a7bb405cf7869bd3464074e3", "5e9d2126b557d4a3dc5716b55f29c0f117abbb02", "b54886b291273482fdecc3e0dcd8ddce394ad7b3", "4961a4efd448e173d26a380d15bc11d7d57b04b3", "0a5d5f359614a5cb9f42f5b9e2ee6409975703e2", "4a64758786e3f49fc13781304197591ffbd69a6e", "7be6fe8c58ca12974c563689b7230b933dfca432", "d9024931d08b3c41994cc6e6e585e2c6bb7cc813", "b18c8ce3ba9419bcbab3c375b0820d032f1e38a2", "8a00f5cf6ae47ae8bc6d29729ee84f9e71cad853", "9d28999744fd5040fc29f8beebd5cd8714e7f0bc", "94ac0bdc3fc106006a69f294647a3dc2ecaff532", "b63914ca499b41c672a81e3550732cef514e868f", "0d90d046db16d3d5ce70590e6dab32cdd58928f6", "6a915d1f466b9e13ab79d4b59ec4897647dc75e0", "2435542be8698eca136ea2c8e1812cfe12132e21", "31f2ddd9af75c7f9bec515945bc6c3055fbe9801", "ab8778793b0f2f06d9e97b6277f3b1125f31432c", "1a0b09e7e9182a68fc457bb888536b9023f6c9fd", "728bda577b98b0f4150c0a74eee2f6d0a3bc4f15", "a36aa784e00d479bb0e6cb8aa6b6cd2dfeadfe1b", "ee9385efb66ee0b1bee31c1632141729bb7fb6f5", "98720e3b5b36160a73c09086afc88405f7ed517f", "ea5efa35de61f82088fa72b575863a59c9ad7269", "3f44352b857f2fc18c18c5ebb2cbf994ee22f44c", "87ce943906579910572db0d0edda0813503b8015", "d3b550e587379c481392fb07f2cbbe11728cf7a6", "3b6d7df0cc0aebb0736f3664da4ea8a03e559db9", "8740611875c4351ab9ce3729c2ff30e0863948ba", "1956757cabf13a09ec8a469ca9afcf4ff1110527", "0947f2689c71e0298411614aebf1c223168a0c9c", "fc7b34a2e43bb3d3585e1963bb64a488e2f278a0", "225fbfd99465033e993460a1bc838a87fbf42346", "a27312e860704f94785368d8bcf18f0b871d3d4c", "de72d2563277eed2a9cee2b91b72dc3c462cf5fe", "47c03504648672a75561abaaf9e5e4187138dbd7", "9dc15949c40c5f90087eee9da2600144126ac2e5", "705a24f4e1766a44bbba7cf335f74229ed443c7b", "00e4f90555b98e2286d4d07c87220a6766c441f0", "3c03d95084ccbe7bf44b6d54151625c68f6e74d0", "25636431c9c94a3681b8aaa2013d94b501930f31", "d76d85e6f90300f45cc52d02ba881ca1d43ccfd3", "f1052df3e311b7caa563685e741e0a1bb6b288df", "b873246d9c474bf7799d6f45deb1155144dbd6b5", "0626501c230d2b74a8975e8b71c3ff30f0aeea2c", "d9fe0b257ec50a12ba1af749fad56a6f705d16a4", "22043cbd2b70cb8195d8d0500460ddc00ddb1a62", "720ef31b8fb5076c861fa55f55456ccbc9174132", "992eabece1baa0d8dc2516613a192b283e1921d9", "e267c813d8804019fbd8e018171dd05255b10fee", "56cde43def09ed9f4c6867d2e7d293a5b999c628", "4c302936f43c30430b0b07debd6ed6ef260b5225", "df4efcff93c044fdfabd0dbcaa084e8aee5ae8a4", "702edb659ac74c2fd00b276d1ba36141922b5054", "e381edad6f9040712e6a50caf9c82465722aa04c", "b5f9306c3207ac12ac761e7d028c78b3009a219c", "f1c63d2d6b21366535ec3092883af413c2f7f18f", "1991936613c29f8d09f437a5120ab1fca2257ba3", "8aac66d15e0903257ec3abe6f126bf6316779011", "559c527d03880269bdf7d51d7edf376abc12c7c8", "471185a3950844c0d5058a30cf6cff30ece4b381", "2ea846a2def214b0bac54b671d7690e0d24f1496", "af13aca09e6238c6121a14672f08589836ebe7df", "56fb30b24e7277b47d366ca2c491749eee4d6bb1", "1819d9a9099dafc987dd236c2174945e7922be13", "e8fdacbd708feb60fd6e7843b048bf3c4387c6db", "40a82046d7d4e8148d22eb86b462440524da8f52", "6b45999ffe9444614d286c3597ddab389402a337", "4508f20e426f5873a38624311059ddc060ecae7a", "6eaeac9ae2a1697fa0aa8e394edc64f32762f578", "5366e8093715dffdb559ddb54a8230486b1942b2", "7b3fe45f887a37f78bb356874702adae91dda105", "137f8195eaa8e68f133395a9b9a232bffa7b2fc3", "a9d6e84a5f37d89d16e9fc2d9b27cd0be4d8e119", "c9db658fb6ea7331c749ea46fd22862d8d3d4bcf", "b299c292b84aeb4f080a8b39677a8e0d07d51b27", "21697dda852b69885d71caa309482f14552d273b", "8a9c08bcfce9aa91fe587feeeef07dcc53774a92", "067126ce1f1a205f98e33db7a3b77b7aec7fb45a", "aba5c9246fae51a7770bba16d04e4a9a454d4d3e", "d76a1e668bb435e69f48b696532d7850fc814576", "d4305c30ffe986fa53872b1b6cb61856b3d7346a", "6291c0485f65e3879a66badffc4f947188a757b8", "5f790739bb4e11bdf4fef85c293edc04aae903a3", "f648142987e097c74f927f6f4ee9c556898a1654", "5cd2425bfbfbc1413c5c853d27c35f8ce5d8f144", "0275e4251671da323407bc2192a0b50679d16237", "0139eb62a87649bf7d259542b5afc6be121b094b", "c79fe054f971a454406f46b62b5a397b95240046", "2023f1f73947add416fe3e7dbe50e3ff0eb4f531", "d543ff291a96584586ad36d1209a8b1b0cafd1f1", "50e45e9c55c9e79aaae43aff7d9e2f079a2d787b", "8e52267bda3033cf58f7d1d0390f7d26e9ee7115", "d90e292c4bc2fdbeec5e494c92194e4d3420d760", "6f74c3885b684e52096497b811692bd766071530", "5be44ad234706995c5b6b7ec9c77ea5b85a2156a", "ff766741cfbfa14282a2ace9a5b1cc361e060b7c", "8bd82d362c39c3f2160f5685149ed41125b0681c", "035d6dbaf2053d065464e065bb824695b1ab5a95", "dc3ad684a90a45160e0c82a9b30b77e0bd4477ea", "3dbae414346398645001197a1d1ce37f5953aeae", "3a8245748a5b682845784dab131f6d8240b09f7a", "e29d51146bd7bd479d7a638054f1d6dcba71fa1b", "8bd2212bfa90f39e10d1c9964fb2ae9ec13f9021", "a2ff11632d5116f0510800d84ae2943029f4fd33", "67d7ba941dc91eb016551102fd9642263ae47de8", "b5f9c5af707f55d96b1d3d65d970270d35a60987", "327ae6742cca4a6a684a632b0d160dd84d0d8632", "4ab4e283c6c635bee029b4857be670504fa9d1b9", "468253c79c14439d238f1fc6c642e1c12145dfc5", "8f60e94729366f46cd4602df5f38113020874745", "09016bb7db067f4cc80d243892de4149a86ab42b", "b233c19eb5a65cbacb23a1fa2b9bd30764e7904a", "45c4514ca2b7903b4c8f43e396bce73f014b72be", "537ea23047f0bd8b58ca3fffe161bed2da913187", "70560383cbf7c0dc5e9be1f2fd9efba905377095", "adef82b510dd72999bb04e13660c9a77b5abeb4c", "7443ed0caa56a48a57cb3142c54a19ed7484b404", "de724211683bb92931a5d80193e5dee31ca2e045", "34a1d075e6f4a9cea93b916ebac2f3bbdc2c5ab8", "c031d1792f088c4feca14ed8ee05423a7f77fe8d", "2cd0da17f7d20f01a58a22880f24d34cfddbca7c", "0af7632427f70f2327cdf5188b814fa55d7551df", "3263fc6c05fdb917b26cc9444e32f4d76c62e711", "45b3e64312f64cec0a88bc8e2af06ac628392899", "2e22cea98837a5226bf22d6aec448edf5d07fb9c", "eef82228530a70a3158e59be2b0b07d6dccd8a88", "9c8a2d66b8fd6973751b8ee2fe6738327968cfcb", "9981201c3ab04cb3ff18b689d01815255bde89c0", "203a1ecdf7e488d81e5661a6735b767c4fe2b37d", "014892cc24798d04a066c50e33630bb3f1b882fe", "0ccdaeffd5820e98cd534f380e8331560140b62f", "9b48372c7adb3780873df7c6d4134f93c2b0aebb", "555cb7b89386d0849014b9af7e3eebb377488a2e", "7b6765ba98396424bbdd4bebb8efadf6431adf09", "b131f10070538e55bb9f6026cc5c518736a0780d", "f6789caf35f376e839a92bf6df11418c343bde98", "9df680a0fe9142012ac49140aaba717388ba9a1a", "1dede3e0f2e0ed2984aca8cd98631b43c3f887b9", "ef1da2bcc95e524eb6866d35aa5638ee8251acc4", "aca57cd3f1f4edea9918814aabd0460c682cd56e", "536b37fe90a2f0bd8b40b7eb7ecf89b25a1c8ede", "58bac838068df358b536850a84ff806a23f061fc", "b7653d96c148a6a9e37822b64982a9a499686b29", "b209608a534957ec61e7a8f4b9d08286ae3d1d7f", "470dbd3238b857f349ebf0efab0d2d6e9779073a", "78342d17c6c6fff00cf1b20602f3213a3f61ba56", "00785be241b28161c320693ca3611e1787a25978", "3c9019ace5e94e1670df357220ff848954002bae", "d3be2efe2193eea84562f83e8589a3472a9520e5", "8234aa5414a53e705f0be9abcdcf1d3fec90c091", "3155c3096026e82c7f8844f379157843bab4e0dc", "362cfe79a6822f9e317555c5e3469dd038b9053f", "80265d7c9fe6a948dd8c975bd4d696fb7ba099c9", "fb8869680fdf1514c0997c14a189501632bffb2a", "770b3855cdd15b49c89e4053b6cedafe53cecd6f", "77008ab857beb64a5d35e2ef3575db2ed1e087fc", "06c2426fdc1eb11a0074473078296133343774ee", "987b49719617981c0f1a6d12134f660675144632", "3efe2e245fd1a80e837f9c4eb57c4971c644ee6e", "3aa98c08043558fec09bbf731cd7a8f09cf4eacf", "21a1e0cd24e4a1d383556fe566bb2326da18f26c", "a32f28156b47fd262e04426806037d138bb3ed0b", "4d3faf14bef2c835bed774c0c9cd5cee8827c6f0", "ab12db11007c33fa71cf228caee35da8277277a1", "1283398de84ec0178dc74d41a87febfbfbcbbb02", "2caabb0a9656881d2f6d6562eb1e587b67fb8f64", "11fb122efe711980ec4fb55e49bfbc03f538c462", "c822bd0a005efe4ec1fea74de534900a9aa6fb93", "10791a00b28ace9729895f3d287a7147acdc8944", "78038de44ce38592d3af79f92271a59fc766d66f", "713345804a00c6c0083e4155b904956bb95949da", "988849863c3a45bcedacf8bd5beae3cc9210ce28", "e00bdb0b046c4d21517ca808a4233a6fd5f3faee", "324d82129642f84838be71bd7401f38c80fb87d7", "26b9d546a4e64c1d759c67cd134120f98a43c2a6", "cfd933f71f4a69625390819b7645598867900eab", "0b6bd0a6f396e1479dc30318102bf49c12959783", "0a04d8b0099708fbceb63b58faa61ae0c772c8c4", "235b4729951e036297bab2191a69c507a882d609", "65355cbb581a219bd7461d48b3afd115263ea760", "25403c52a7c3092866773b0e765ab55841d3cb67", "029fa43a49a2f5df4bee8aa6a9574f8da5098f98", "81884e1de00e59f24bc20254584d73a1a1806933", "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "6a4419ce2338ea30a570cf45624741b754fa52cb", "31de9b3dd6106ce6eec9a35991b2b9083395fd0b", "eeaca5178795fcbce0e0042549b6bf585033122f", "19d27714c820ca7cebf8c6d5a76053b23bcfdf11", "e04a5a6860b80e3a7fc293d495f3b9a822c3f98d", "fc9e60f370252bc9a6120a6b2c39703ac1fee810", "216081f7e3ac058b2bad7609676193f50da24db9", "905339e771e69cd412f3379c4da02b78ec2a950f", "4d527974512083712c9adf26a923b44d7e426b44", "a72e5d33361ed5331a4c8cea497df964f9ae6ba7", "869abfc258f5512fd95da179f7d92b624900eadd", "b6145d3268032da70edc9cfececa1f9ffa4e3f11", "f5edbb47a9a200c17f0c34ec8cb6fc4a2f9cfc20", "48be9300acdc484100436f32bd409a89a7dc1ef7", "4c2fe5997a5570720bac2ab5ce187f1bd2aed1e7", "25bd32b6332093ebc938b55b7096094f3fd22cdc", "ce20f81374e2058b01910a4d028b79c07ce7e994", "3bc514bfcaa3808618ff6b4b52e4001e7a24b82b", "87842004ea0933f5ba113cc9d78de6b33d444f59", "e96ce25d11296fce4e2ecc2da03bd207dc118724", "8ab2bc0f298cf595d50064a5bce57065d5b69c59", "1746fec6b033f5fc7aa0f8c99e1f238ac3710ee9", "f6a65be9a3790e8fd3b5116450a47a8e48a54d63", "4d50de8ec7335ab320f9743d199336699307b523", "985dc9b8b003483f6df363a8ce07dd8c89ced903", "2598c02e537b02ce181eea1aa49a698080a391a8", "97930609f1a5066fd437ed8a4e57abbfb1ae4b12", "9107543d9a9d915c92fe4139932c5d818cfc187d", "2406f413907b7ef31c086755edbb22a7b7b10f5e", "d24a30ed78b749f3730e25dcef89472dd5fb439c", "1057137d8ebbbfc4e816d74edd7ab04f61a893f8", "79c0201447bb2d407dad99d8fe0a2f4703a3fb7f", "57bd46b16644be40b2e0dc595c1aaa6abbadba89", "0e7862580028aa80c409b52ef1fa683444afcbcd", "fc83a26beb38b17af737c4ff34141d0deea3a4e1", "01b73cfd803f0bdeab8bbfc26cd1ed110c762c91", "748835f09adf69955de260fe2497906908a7609c", "5a1bf442073b95a3392e673dd14bf73fc1e99f6b", "b104061d4a39c97fdd11046e93c7512403e9302b", "b5476afccf97fc498f51170e65ac9cd9665fd2ce", "3199a528e5e68f48827544abee7fd6b47678dba5", "620c3f6605e528503a99a8832200d5afdf156c20", "467144dfb6c2f52d63f7a012b4680165361e96e7", "0f04a95ec885cf98e7cee43eacff13de0c888d3b", "3bbdfa097a4c39012cb322b23051e360c2f7f023", "2fd1c99edbb3d22cec4adc9ba9319cfc2360e903", "fcd2fb1ada96218dcc2547efa040e76416cc7066", "6d28ba098f800caaa46d9273631135bd0318303a", "9d357bbf014289fb5f64183c32aa64dc0bd9f454", "670e2c9b18ad853e86fe402bb8161bc81e38887d", "d1836e137787fadb28d3418e029534765bcf1dae", "d849905418ab2bbb159fbc45be752c50d7852e9e", "3d42e17266475e5d34a32103d879b13de2366561", "9ed76667357681d4c3fb2ec7bcedf566d634d50a", "80fdf9757c0e4b62dcfff03941f1951304ba002c", "8f9f599c05a844206b1bd4947d0524234940803d", "64b78b6f13c321da77e3770a748772fa837aa8c8", "c9579768d142a7020d095090183805c98a2f78e5", "66e21b99ae3aeae79589d260e3daca3b04981a9c", "31b58ced31f22eab10bd3ee2d9174e7c14c27c01", "7e7e4af2a79288fd2e391020edff8552ea1ece9a", "6198c7d579726fcc0d4c62ac156b503fc9e39251", "6d43831c4501ff44ed0ea70ef696e1c496b68a1d", "1576989733e10463f2e053c97c1aa3c14ef1dcbd", "0cd032a93890d61b9bd187119abee0d6aeb899f7", "165b7b9ed474805c35cb60204671c9bb2053c976", "497ab61499d85ab9ea2f0959ad3e5547cc4ac8e9", "61a2b79e27df799f941e9c7d06797ae4d4533a2e", "0c2c53d71942ad3171b693f565812f1db43215e0", "51e43578ad761c7c4d58cb159eee0f8e6cf0f7a4", "515de436f65bddcf9e24cc0d3b82689bfaae3f14", "5ac707ab88c565b1ed34fac89939f0cd2451eb22", "b569166b4c67927c7e139350416b60e127a202ea", "910bbb44fc00eab606558fd49562edf082fce726", "16375c3d7c671405aa1b5a744f46bc19a0590cb9", "0709192e10ead7498a1deb9f15bcb8504282d3ee", "93d3f2e546314305e8102538c4714e30e9146858", "7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5", "92f2c4f5583f0b58799f4834bc2808ee785e27f1", "0ac669970c0c09c82065d22396092bb4b31d9117", "e5dcec59afdab7c15e3a874e9b602b8fc42b9019", "383a58de852715c8544abe60fa64d29fb7ea5688", "ec1f6f26e992e01de616d7403743831a9435088e", "701d2c119733809f65311bc96733330b3ab59dce", "b3b51d80bae381e7a143c6cb532873a273b38e51", "64d83ccbcb1d87bfafee57f0c2d49043ee3f565b", "e99e1ae39e8d0f2b5c607903dadb4a630d06599e", "07421497a80b7611f50c343edcf8222fb79f0bfe", "0781498a38ac67722bb690cd04f69a80e07a55ae", "51348e24d2199b06273e7b65ae5f3fc764a2efc7", "60ffc8db53b02e95d852f5a06f97686486f72195", "b41d2d4750ba7fdfe072d253f408e5b60c75eb1f", "6bc96ba9680947097cdcef4a235de394c7597187", "6ab94ed33779d21d233c274cdc65c308955668a9", "0371b7cba37970f22040a10bd29219778dcc3947", "c30b9fb837e912ccf3919fdb64e9543fca57799e", "06aec820d7d4b15f8c49ac4b8246377015693abd", "e447ef5eaec9869570951065d1635e7717598ea0", "700af3eb255ecfc9cb93d33fee763047875252ef", "61366c2eed49519e3adef44e8b7146db1fcc2113", "18f348d56a2ff1c0904685ce8b6818b84867b7a4", "413388515ec220144c91dd0cfb7dae0c36b35d73", "54087bd8624755b9366651d5f38fdd3bbbaaeb52", "f7e91701ca7db1d9de3e8a1d082e2cf0cbbda7a5", "43f0e2207d628deba1f91c810c38f33a1978cd58", "3e3f19cfb5a7f93d71b2a4578a9cb9ec968960ba", "8e6e1861ac3e130f3e5ba97d9c6ab21355b3a55f", "29895e2b4d15c22a627d23be2e25bb5f6317fba9", "3f4cd2d8bdcb2a0e9851ffa9d31c09606e1a7738", "38de307adb27126bfbfe28d55a89f0a77d4cc8e4", "77d31d2ec25df44781d999d6ff980183093fb3de", "27d90cdd54bcc8f8ecfa60d886143288977a5c63", "89358e65aec4d6665098c7dbbe3975296cc7a2fc", "7a4f3d17672ecd89e4ad0d4f3a9257352a055d9b", "85b758a0b59e957253be56a780fd047d18c43aca", "dbc077fd5412d11b33e18cbc2c5d8b92f6691c8e", "4cff5b5099b0227730efa9e9fd724a63dc0c0c2f", "20c70df0e353a4d125fb945c7965e8f8ae817bcc", "87f64a3f33f464a2602d5fb0d717d553c91fc39c", "759b28cb6527f8820f1cffc3581884c5caa19091", "22b5bcd590f6d4c04b8de28217b001da9667ec33", "2d12efd5aef4c180ecfaf65184eb7b56e5a40329", "cee700093d6672df48d169ef194861026fe31e8e", "10e8ebc9a2397336cd03dda18842ad6e7e7299bb", "23b8647161d875b9054bb77d450cc530a14c956b", "77eccdc13d8949add2a169f69141af37b2982ce3", "21bebef8ced5d1e77667c667b54287782556eebc", "304baa0481562d468fb7cfa1f89e726f82701a39", "a62ca056821a3179b116662b28338433ba5b5e7d", "5ff8f8d8904deb0df670856d63905b1eaadffbb4", "10d8a48deae967b627839cc95c98b6c080ba9966", "8afe84f915d3dbc45c57011e62f5dbf9003dfb4c", "49c5f7b313eb4d7b4442074b9807200ac6aadda5", "7525e1fed92a780b6cb78190da360a3a7b611885", "2f20cf49eb6a0818313c29d64eb6d30ddfb8d747", "0e8a6bfa372d64b9630d2f6182ac07799a9c2161", "0fca9a022f4910dda7f8bdc92bbbe8a9c6e35303", "d9c143d75fee89d24cd5566ec05af40f54dc8208", "57d54fe3f48857863ad9d19bb196d13600ff1878", "cef9e528ff7fc8b3c7ed6fc0147c4db207bbe6df", "96b1f2bde46fe4f6cc637398a6a71e8454291a6e", "9c6a16a241c82ae695896572edd2f31febcc822f", "55eb5691479268718627a39237fadbe649b34ecc", "ae7ebf1c6111af9d00dfeceec4b48b528b437956", "77927f4f812513d6ecfef26e0ddbc53c85796ccb", "2cc8371c483f76fff65a5fb1c9cc89e974ce83ea", "3d2636b1ff339cc8571bcb0590cae19c95ac0d02", "29d591806cdc6ef0d580e4a21f32e5ad9d09d148", "7dbd91389960498ee38ca7588025ec61a08ec942", "32dbb27c3d02f73b53a5f158bda9e0273296c96e", "56f942a738022cb9af243f3336ba1f035783f73c", "e6098aa34918a8d01bd265690e3677fd474ba17d", "c69da63f19a75a8cca99a2ab26203d89f18e8786", "88a0ff6b180703a2d90bc86b40520e35a08fe02c", "6e428db07a54a824f77a4c1a8fe9e70d6049e79c", "349db48589d9c2177b2067b112b8411513242e95", "6a2b83c4ae18651f1a3496e48a35b0cd7a2196df", "2a88541448be2eb1b953ac2c0c54da240b47dd8a", "e0526b013176e2cbb1d13b4bbbdc156d09a0276b", "fe95b902eb362ad39f91e2325300d3f7a9119c48", "0903b956a68073eee3760572059abd5b24b026da", "3eda9f9c29cec4f44e210d40b54810de525d75fb", "b9dbc8ddb68fd4bc5bc958fc0a8e63152fc87c88", "b695052732594b3fb50d4dd8cf3b6bcafc65da7c", "52d9477a8293d44b0f8be5c07d56d468d035b0b0", "4e93d17fddba420dd8de02ce979fd0ed02d19f7d", "9a6c53b8f82a9f533104e2ba5b90b8e848d1e9ea", "50a4a7725ee35124cca4e72a52bdf71f5088faf2", "a1497db913ea4031315e24a1027177ad0c4b680a", "3ee5f77594762b786611787860d7d58f4a328c9c", "22f3158eccb3ec449f23db87e270a46202cc9571", "bda5d3785886f9ad9e966fa060aaaaf470436d44", "86adf24bcc9aabec4e2543cf3433a47763c94a49", "cd07e9cc9264098159250f78b5f9faceba489800", "121af7d7fc747c4b36d00668a63c58ee5b368f97", "280d45fb813e75622b7c584ee7fba70066245871", "ed7745cd990064ba1029b15ba866b59cc7cf1cad", "96fda2ce5803979ba0295413b2750e9733619dd5", "43e43a94a580a9cfd4e1f5bc4d9d6964003af446", "c790d53077e17534f071a3b87cdf8bb362c7e839", "5b9dc0f10704b5663c06c7dde2732d4a6076de55", "ec9f036195ccfdac51b6daf241c45ce7010d0d78", "4a8b8746def96caa3efd65548040c5c597c4312a", "33e0687306fc700b3e34633e1219da0d52dd9fd7", "b7a5b5d284f517397dc2a8310ad8aee2e7897f54", "84124eba5ccd5a25d2275c3dd6d2f15e30225ef7", "24065d385bae5579be07607a1f63eb79cebf8773", "485eb41be3ce1600e9934167808b0319a6c3ec2f", "300c37d0bc67c906ae46de419fd2964555dcc8ba", "f970cc735d87ad8484a29a5bad69f529dd557471", "4913477a16c8354f032546b1444728c592823586", "6ce9b17283a3fc4f2a3df7fa1eaed80bac69f69e", "77bb7759e09b47b35d5447d1d6fe07957f939f68", "01c6a4ec199f92c11b5e46ae3a94e4228bac3990", "0c8ab9e08e6ba0de2cb9987cb0cc542d280b04c4", "1ddacefa549de21f734f43016115ce7d54ab3d94", "1e9758d282568763b209252bc3aeb7b47d269881", "7fa5ba03236425c2b3023391ca3437df4e69a255", "970b4d2ed1249af97cdf2fffdc7b4beae458db89", "e2279676b01e477b5e7333bab276678f4ad34753", "78c91d969c55a4a61184f81001c376810cdbd541", "21e6bb3dfd11477ab968edce4518adbd269b8841", "a15663e0c0a2427ac4da5161e4ed75d331a5a2be", "6eebd8762996501b28d3d94a7c166c79d37e7a57", "1e8ead5045c4b4de598c4eb570bfd9da14970129", "e5f803e055a3916d3915c2c19a1773d0dab08844", "ab559473a01836e72b9fb9393d6e07c5745528f3", "cb5ea214f4a3ddd50e821efea003340a8036408c", "12c68afcd77584f3db55b42f38c3ac0e19389b60", "eaa4c662f5f6408dd860757f7ab669a13b7f0a24", "1eec874715f47c5dfed4986dd87fe5fe93f619bb", "bfb8d036810fba95c73c6fa6e8f1a40dcc15d745", "026050f71175d235f3f91ca0e99e994c00f9b5a6", "63ccfa415c7933f5a9f067b43501c3d6896a5c7b", "8a382337ada0665ac5edf9e76c4caed0817a35cc", "0cc22d1dab50d9bab9501008e9b359cd9e51872a", "0e9f55c0ff758a91c6764f833b14b09ca788db20", "9ed3e04586f311b1e2b5ded9c9c4bfeeecf27f0c", "072fa3b84eb93db06134a2795c62cc0982475e9d", "4879d56e5edc07ba5a34bc08700f0eed72131131", "61acd4e07657094c2720bb60299dba0014ec89a6", "944ab8c7d73bf2ca439205543c906b7797c269f5", "70d64970a44c093e9756936fbbf1d88acb04dec5", "99b9eb691018f2ab253254659999b36f01263269", "065ec79836040f89df3c850a3b065de9222a8871", "fd0b7bda4edc22d39b83ea8386c8e94608234832", "89b4111f14cdf342188f96d3962581fd0afa042f", "7fd9c2d4ed3759a96313da416b140b04024778e8", "a4b0f11334d33de4f41bfeebfc520fb5b034a31e", "68ce1572b18c95fe9c60bc11d9d33f8310902154", "0ffbf9c316c90f9a1fa3fa7eca5cdcdd751c8a52", "be62019734554152c4feef62ba3092894b402efb", "b75c93c70e8534553006c084ddc72de39517ded4", "1e1334f76177ddf3ddc35f7359a1e04b65438dc4", "5bec2b3851a540233258ae3e35b833ee5a7d22c8", "d806790866ab9bad77f60436fe77232db8e0c1ba", "b79412cee14e583a5c6816c1124913f560303a95", "1ed5d99fe46c0b5083f97e65841cd8535a9451c1", "22c169fa05a0d5710bc111e451161e9d9141c29d", "b717d84d551de252300b9f161a5551162a936119", "0c8ac71e174a941ea7e14e7b503a12ae7eeca9db", "af17312546ad1016ae7f2ceca1a4fd2a95f0946c", "9d743bbef448e7c145aeb11e55cc05fdbafe9d6d", "972f121ff42d17c7c633937bff765f2fb11eaaf5", "9f59d0a003558066d2ff4fc1c77f461b4d233663", "81840ed3a0af562d428a9c8f9d8dcd5605c4c1f8", "1f669f4a971b58e845d935f436e050597eed8e99", "575d6a05bb27316ad677f19e79473e314e6c6f94", "747ca08cbf258da8d2b89ba31f24bdb17d7132bb", "566a39d753c494f57b4464d6bde61bf3593f7ceb", "f1d3e4aaa37dbd7996a0bbc2ac6015e4d0b2c687", "9bd0c4082a13de0be6c7daba999b55061011f3a5", "23b22f10d3e0a5726f58ae10c494a28103979c6f", "48832468be331e0257afd88ea71b807503551ca0", "0fb3b63090f95af97723efe565893eb25ea9188c", "584525fa2e6b3bbd4ca5e971aa7c372b6ce07e8c", "378b6d94bacffb0fcc1063476a7b9694e877ba12", "176e8eeefce2039189bfd65a8d0346e480591db7", "62e34fff5a29d2e27bb3c7ccca43daad2d164ac0", "88c6d4b73bd36e7b5a72f3c61536c8c93f8d2320", "ba8e0bda11af08b6037666b67cf54ae1f780822d", "5d056f03efb6470a8e13843da58a95cc985c5946", "eef408a49b943ff664142a980b08d76c5baad512", "0630b3677323c8c987f16f37545ac6073293de8d", "2682f197ab1437b3c79027320a983de8fa7a400c", "57db5b35f2473fc3608fe3519d6763c1d4984eed", "b0c379f740292ad2cad2c990a445f69167e18894", "1693e615c3a7a843880eb5bbf4e3f1beb0580f5c", "2b726b240fb75e459eacc8a6916a26a93373088f", "1c90ad1e264c29a8d180de47373257a5f1b5aa57", "651125ca22947e95e5be6206c3056988b850266a", "383f874ba7975c83b55c694ec0a70f51dc3a0ee5", "904a8241ef400bd85b1ad10267a1177bbde1c048", "72da95453c41e13e945735fee83ac19bc732693e", "dfd18b71f5c53ec2a95fcbe327cf7710da3b4851", "8bfbd28e6684e5507a150b7cc26392648b394e49", "177cbeb83c3a0868b9a5c75cd74edf4b972cba80", "11a7c4aadb47753c8d30cbda4ab347c361e4c66a", "3a30a54d8df929933e5e20bb7a4484f0a5a325f1", "1fbde67e87890e5d45864e66edb86136fbdbe20e", "27183d23f50884a0e06b978acf9ad77dbcbfb112", "bd65efb5d1fbff19dcd3cd24452f359013eac188", "f5a059e8f50ae137e0146fbf32e199d8c6dcb83a", "fd752a384a46e99e71694d8fc82b50d0b506e2a1", "0bdd8f824fa4d4e770e34268a78dca12fb6a135b", "cbd20c2199062724eee841016f1575cb7d5309b4", "05531fda7a82b18c42c7ae9d053349fdb8281b33", "5582aafd943f2b67805cdb4aba9e2f288dfe0ca8", "9b18cc5c938062161a4b6b0c71ee7a6c550a15f7", "0bc94d0c1e75d90be373c09941899a9810080924", "219b7b157f2a559ecdffe21c2a0edf5285931298", "acfa01182d18d8f3fbbd7df6be0998269116ba6d", "2ad9a338d81340b7b02510e7f9e390f9202ca72d", "759f7f9e4a363223dc06903ef88fed27a3a64826", "67fd4f209aa6e8359fc86bdc12c62bbdb0529077", "595d0fe1c259c02069075d8c687210211908c3ed", "ad84f49b2cd1b85a6d7df2304144a093f5b610a8", "c3b9d987015586245af449134a4dbb3d8e16f86e", "7c8d57ca9cbefd1c2b3f4d45ab6791adba2d6bb4", "58d496268f22d8cd35fbe7fa27919b80d84d9aa9", "25642be46de0f2e74e0da81a14646f8bfcc9000a", "ea370d80391c3f4b05e04c2248d8656351b99773", "015d24c1a8621bcb6b6beac3c4d5a34af5589ec6", "2f349ec19443523bc6c1e4b15fb677b1c188e253", "9a3454677eb0f356354fb5cfbfb38357e257eb23", "005f4fb2256c6fa293e738bb53ebf437a5b98d73", "41cbf0750fa0d08880068f9a89be92232795f357", "04d316dd48c44f90d137ff11b9b802020423778c", "614a547cb976fae955e276feb2ccc9a33f1c7806", "12d0c11d546d91e776a170898ebf3a38c010695c", "435bc494d3606d1137fb8b70d481bd6497f15090", "092d5bc60a21933abf98aa85ace8a9c85df16958", "866ae642b5b54abf78b4657cb1de24f7d4cca7f2", "05b6c32304dd1673c14f1e1efce4e4d5c4402275", "456d3118c93d30fbafb076f0a9d0d614d2c847a2", "4e81b72c551aa1fa6f831f7ce9cd8e5e5d9fa328", "856448a97a34f8ff60b22cbee936897c74f7a26f", "34b6466e3e69547f6d464ad6b5660b1e629a5c35", "38aad7aa346bef9af8711c1e1fb5fdcdb8a5edaf", "46773c8a2fa5012f7b3e16b44214de0da3f68859", "5853875ecc400b3b365f73cbf44e8680da2bc5ca", "fc7c428f604d13604a1d62e8a3e1b393c730791a", "d817729f2fc8509d138f8db73ef0ca519615c8fe", "3dd1338a5d0aa47fa2aef31654ee1392b8089991", "10b987b076fe56e08c89693cdb7207c13b870540", "de6539bd682157a05226f59434042e4d553ad8d6", "3dafecf541e7aba8b6431f6deb50d37e7ea8a8ff", "ed6801362ab442097e7f753f163b9e9c0584b257", "48b4f49ec708677fc9f70edc74fd0f92ef986406", "0ad0a1293f80c838c843726eeddf5a97f33f0c89", "ae5195c44ef7bff090bb5a17a9fe5f86a8c3b316", "927f86a6498e2a528f025e86782ce4ede317ae0b", "29b3f9f0fb821883a3c3bccbf0337c242c3b8a64", "539ca9db570b5e43be0576bb250e1ba7a727d640", "011c5bb510c9a4c24e2fc07e7464fa8493237058", "6c24fed42d9a1ec283d2aa39a2dd768256a1a066", "1d72a3afd6d8dd1d9a5e7c4aa5838e48ab18c41d", "9461d23c55f58af7f5ceb157af01a1e6e8347508", "785337b262534e43a4e14d21283e180bbce23621", "695f6dc7165aa3fca15d1b1deb4c496fc093ac19", "a2e86c23cde8899ac39d0df43d6c5e4dcf0ae2e6", "75c30403bad798381afa70f225e402ee7d84cd34", "17ff59bb388b155f613f7566ba7cd71ec780cdec", "a1f67319c37a3481802e42b11eaa57225a0dfd47", "84d6714ae7bc73acadcca41b94148d61c8599ea8", "0c320e30b37e0ac25e97a7d5201c8918603f0fcb", "e455165f51fde13633500c7f281a9bc641fce874", "6f911cb4b7c83baf67d2c262558535d360d37a3d", "c686bf5bf9b363e15df3af30d3a88d7ac093cfe9", "4d87784afdb704d9eca14010212afd5cd74c60ec", "3413af6c689eedb4fe3e7d6c5dc626647976307a", "bd2043d46ebd3b788a1ada7ee32627e88b79e75e", "6e6f47c4b2109e7824cd475336c3676faf9b113e", "49c88aa6a22a41eef4058578ce1470964439b35f", "48e681ee58b2615500cad3c69046bfa0f0400a33", "b6bf15f123a814538fff5db757a474be6fc0c72f", "062864148cc9e0fdc7cd6dff35611fd30da719d5", "2891ceceaf586e4ae013d932978074ff0a06801f", "1da7d851c8d6761b4e1ab3e037596969a295ae50", "9264b390aa00521f9bd01095ba0ba4b42bf84d7e", "90d8dbaa799430d7384425061317e0fa55bf5cbb", "42d9484b8258b84869589fd60ebd3ff0acbe0b3e", "0d6f874b5a0772d1ea88e85a010a01e381d02982", "5120fb7db8eadb26118847d0553fca1c22ed6f07", "0a8c6b40d6ca75bc1995083825e362137b130624", "83ce2c969ea323784b9098b9b170e015d559a1df", "abb3df5b61dc7550db96fc112f98fb99a9db8c93", "5d90f06bb70a0a3dced62413346235c02b1aa086", "a9ab913cd7d2330b93e0cdab3d5fe6cc47d74513", "c08ce05d1d096fb8410859b2134f38b3db308b6f", "0630b153af22b949e3160612dfd913d5a5f25f98", "b01de5e9554109a006a0cface1f11d45922abc0b", "0707316cac06f02a18019595a43b98ff8d56e63f", "86564bcb628d4ba6728babcd7c5a38d5fee39241", "0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c", "edab5891f057dd9222f92331cdd8c72a41390650", "5f57a1a3a1e5364792b35e8f5f259f92ad561c1f", "3554ed270f27f8c3d6f8d847f6c6b2c17a9668dd", "a12d9c1af6078f923066df9ab8eddb3cec85df1a", "00869507c550e2d840d730b04ca1e4346f205da0", "3bd63bea64c770df5049879f4398e65f958ebd23", "f445493badf53febbaeab340a4fca98d9e4ab7f7", "5c60f84f041432f27b6578eb586aa3a754f7a25f", "a649bc66524e5e61e4d34cc00159099b6b58db2f", "1f833d80883c112ca854aca12de671fce2162efe", "33030c23f6e25e30b140615bb190d5e1632c3d3b", "c48ee576130473efe6dc3ee47f552bc581aa68b2", "da288fca6b3bcaee87a034529da5621bb90123d1", "8d10cb114d58ff3688b06445ab1f006567a3ac82", "91f88cced4015d99e5234a45ddf0e127e53bdf21", "23a432a388552ab52437d428e5af2b6c195be635", "4610b1e9b18f913fbbdb5bee6502f55a47610ff5", "a165619977bc69a910a771e1096551073122775b", "02f1d5c896ced7f6f002eb7514ba49eca940b75c", "50131e57e14eafd385d94fb31e63f86a5bab9b9f", "004db007ac193d8df3630c453b5ceed773ccc4d9", "9f775ea5be1ae5f4182d07fb7c9399df82872205", "8eeac4ca19ddc919423c42447c28ce546a25c4f8", "78e966f8d137653390ccd6309d8345218fe275ee", "1921e0a97904bdf61e17a165ab159443414308ed", "0a66015112da542b9b6687e4b3c9ff73565d0844", "7f45650e4c9dd8cbc2bf2dd411fc24ba5631de60", "0bfabcf5c74cc17fe8b5777093699789411868b9", "75cfaaab672ab005539bdf1a9c79eed18be6d7f8", "4c7232d5c3caf09e9e5c53d697bb470246d3f4c7", "271f8f98e7b345b6b181d15bb714ce94f7b1923e", "1dc45403839d6aefe65c6e7f2179d5ea697dfeac", "771e78ccea7a03dd94bca10a7215dfe3b0f4623b", "8f84ff8921dcaf1a2682a759f1e8e515ab0eae4a", "cb474ea7c5f6d3c25a75a653baaad19cd12c8536", "19e7ba0098ea0b3fbb7b6333ece0e9740f726db3", "031497b0061f4536eb431545af69161d3a2b2d42", "5397dc42e7660d3dcd96abc95359e6dbeaed31d2", "776bc8955e801f6965e85b35d8e2dd6f2f1498ad", "1da87be8bf6b337076f1cf49629a5974a2f71439", "205814d838b67f4baf97a187a6a781dfa5271df9", "19cd6053bbb9b9c67da0c0881e31019f9ce28154", "82f8652c2059187b944ce65e87bacb6b765521f6", "158b233b1b26749658a14a966a921c89f82646e1", "2813b7e9da327baca5ced6da94e1754a6d80390f", "1701ee9e9518a055e82e79f6425645c4797c19de", "87e4d8e0fc4019405001683678cd199fc9936369", "56c808acbae8aa02869de984f366db344d300ea0", "b8f08a454853b6e4230878788245f1630bd32609", "3521904cced380b849325d6fda2a4d855edbe405", "ad26e62e83f706fec34d9393c8e62b22e2c75e45", "9949c9f75cd1bd8330ce113c72cdae628659e8f3", "5c97b70b4e2430dfb9e98bcfeaac77c87e45359e", "e3c4c44e33e1ae41137db586d89fd09d22712252", "a9f63dcae167630b0c6ba4131897539151217e2b", "44ee63d38e80492fa9875cf3fc28efcbe44ad8ea", "d01dea6b6928cdccc6a2521d36efe1d93edf6d76", "05818eddd8a35fed7f3041d591ef966f8e79bd9a", "3068dad264ece487e21fbb689d8f47d498c5aaa4", "23000287004800912e3469772f3a2a48704dd303", "155959429a6f44e7b980ff00f2d5c0343d71c4dd", "124a31521fb0b1a9cd1b1618baf07bc69684cd0c", "b3c8752cada163af9f72d37d2781ecd49b4c8c52", "e55f8123c5077dbb0d3531534cc4bbf2bd025f5a", "e97dbd90d97ae8f499a399d5fa2780d6ca08a393", "228eaf76e75de3ae12c28e5134b7b6095c16c49d", "e09249f111051df1dabd0fdc90194e9f513a5a7f", "753988cd61d17a677511df50fc3f6c40ba29ae1c", "b2180fc4f5cb46b5b5394487842399c501381d67", "e97f551cf836b51e44464eeb84a86fda00914a8a", "d3015812feb640c79ca8a098e7e27c35f4355ede", "4bb603d515ef338ee69b54ff7ad73b5d8117f4e5", "a52d6c456122007f10c90989a1e81dc8e1c599da", "7e463877264e70d53c844cf4b1bf3b15baec8cfb", "318eb316c0117059dd47978854cfa92baeaac1d2", "f2e70cc1603100548df96eef6cd9e28c547801b8", "6d88fb85fe5c61bd65e0a373cd39fac81a19596a", "7eb4c9ebd70092b3d93a79cdf68bc4e2f35b4b65", "779e5beb515ed26c47dbfc08304fe49233063c1b", "a5ee556c355392db1750df92ae2dc8867073e771", "1d730a452a5c03cc23f90d4fde71c08864f31c35", "4f7d9c5fc3e0fd1b1a4860003bf2b482a215f721", "477811ff147f99b21e3c28309abff1304106dbbe", "2270c94d3f9d9451b3d337aa5ba2d5681cb98497", "032ab4966465facd284531865529b124ef173a0e", "62e878445851c9d5e89a0ef8d49f11acd77e78ec", "2a2bc9c04a060a9ed67ffeb726d96882ff07882b", "252e48be0fd63d3a786021efa8733f8891101a82", "160bd6ca22957e528d2d81b59e71836b9644c9f4", "833fa04463d90aab4a9fe2870d480f0b40df446e", "0f1392c1180582a45b42e621e1526f03cc6e9ca6", "58ee038c6e4f62c01474f3d08f13589ea4ecef34", "409220cf5137d6dc6c85f440d618e44d244f402e", "72a1ecfcd5f0b022fef49cab72bb476e41dea40e", "6dba85c931592dc54ec1b8db08b2a723686bac54", "b1f42e2b1b560c2451a1d704430633aed71f2bb9", "50f88b364e818f6051330582854f80ea5ee3df5e", "37d18c386548277a6c94d221f0de7f24da7bb8ae", "a2afaa782be91f5baf9e9f1794d57dd29143cbf4", "9db7bc834ad534d48b22a87ab5f706833cc18d79", "be22647956f1bc8cf6f936ae3c85f5637492b6b8", "3bebff841ce7d40f0309bbc0e8cc454694061e82", "ee0f87a93fee7a7dc8d13760464dbd6ce1526626", "29c23c7d5d70aef54168ba20dccdd14f570901a3", "ecc2ea05877d720b725fb89bc3b0586a51cabdc7", "6f9458f584837bb26408e14823699ff4eaf330bb", "2cfee31ff4aa21e4e21cd5f018e1a9ed9ef33f5c", "4297deda7ea77fb90de2509c763738584b2353de", "4d267098356dc4cfcd3f5aefcc26588ffb23b8dc", "0f0499989f3331396af94f92c29f2eda9b58d4dc", "6f07560cb2ad1d15746df6da0f992601c7bb8815", "a4c12fb22e733e855459f92a2bc563645ee25f34", "9da2abae3072fd9fcff0e13b8f00fc21f22d0085", "81ff6d7f934f7134d93b2039d788b72f8593693c", "adf1b20cffb0ab12d20f878d07373efc4c1bc6c4", "1baeaa776c4f1cf17e690a73f8b38b8064c0e794", "a646319975ae38081b3788e9241917f1b096a95f", "3dc78b41ed926b88c9cc4d40c6c5250bfafad74a", "320ea4748b1f7e808eabedbedb75cce660122d26", "e5b01b4439ee779b425fdd99732101d0d0a47e7d", "5f592ed440b5fd4f454429981ee76dec73f934b3", "9d146936d7d06622e271764c8a050a92bc168f3c", "7b3022707facb5a2f0e8e042ea4f70fee61ae58d", "076d909aa2674b29fcbf09b5cd5c200926710c3d", "d5484f516e5e1253a90529a2018a75d697fa9e05", "dc72350bc950e3b91e323b6defa2acccb1190ce0", "02809c81a2948a5080b03b787c73565828a27675", "faefb598a66284e31154251b94cdb3e1bda53122", "756db84f76d745211464b5686a67bfdc23e18c19", "17501551acce05bfde4f0af77c21005f96e80553", "d522d63e0e8bdbee314b45085baf40caa08fd6b1", "70161d387927c542860669e929374f3b032d1b11", "af0fb9f0848a87e4782af88d56199ea03eaf2aea", "0e790522e68e44a5c99515e009049831b15cf29f", "1901aed12ca845cf22bc20db6427635a145cbf22", "cf8f5cad6aa87a6364f6b5dd985116b902050acf", "4c971c934a3c56d08af92117cc8b505e03754262", "e54f6f8220d958450602a3df56153c6b82cc60fa", "d002e8e3c803e416c894811af86371c79272ec41", "2a869bc7c1488023c6e791e9c9071badfbad749d", "5456166e3bfe78a353df988897ec0bd66cee937f", "2afde5e414aa94e20e2b30a5aa277ac36ca41d6a", "c3c435e495cfca37828622262f997975ad6c7e4c", "3cd27ba9984367f0024767f439a5089255737036", "c2e9300b0e72dca0b95ccd4181fc2a7a5178dea7", "9a9998098e2b28c55e0b1c9032c6092572096386", "423aacfe7467961e32f012bc6de10d636ebc0236", "545dc167a4879ce2d61836cb300479c305f8e096", "3cd1c3c7ce30e3adc26df36ed550174311a9aa80", "5ebd9457a3a09889fad8cc86a91b274da5986636", "498a174241eb5f6b66179cece13536d2a5fc7802", "b06b960293b1c7744580e03539713c9fd83c0b63", "1fed6a571d9f688e18960e560d9441f5c5e3e2bd", "d689cdb4e535be040316722229e6362de6617f9e", "4a3afaabdaa17154505738e9bffc16d9594ef2c8", "30e28beb92239447aff0718119195c0539aa58d8", "bea5780d621e669e8069f05d0f2fc0db9df4b50f", "f724cbf5035e2df0dbe9a4992a0100465f5c6db5", "32c6086b1605698c8b775b6920741981e85b217d", "02fa3f9517bfede1c2b61570f792f6ed8de364f3", "3ba3ef6d8394055d43bf4fe62227fbae8ab9b195", "58622d45472f454ea64fd456d9b52ed9f7dad7f4", "0701f2ee5a06e9ab760ab9326a33b1d4b8d83414", "7aab4c9e2ab29218d6719e7d37e97afdcb3f457c", "427c24c75128412166326e2afda1e3cd5a35a16a", "2a64437674b1fada4b7e8c2df7da23408111f11e", "7cabf60cf1fcf69cadc2b2fbb33b6886dd8b213a", "00845bb3700c8a4f41d15655ea1846be3c18288c", "364c79d2d98819b27641c651cf6553142ef747bf", "0edd128d362be5d2d107970bcb05579cbaafd948", "f5a52b69dde106cb69cb7c35dd8ca23071966876", "dc9f29118e38602c03bb2866f8b12ce478aad52c", "4a79923948c6ccda965077287dc6fd1d3728d680", "d44b198e7ab75f2c06257f4129031b5ef5b3d575", "7ae33229eb26ba8567c29a44289dfeb803ab2426", "00dec7b4e082e9345e1b34e36d42669f12c129f2", "2fef9c616bc2b54c732939cffed3d1789d5f499a", "d61165b4551c90a522c34c233187dd0735fba50e", "e09ee005c07fdb5a370c73909a447e5303a74129", "b340c9efbf477b8842bd27168fe1d81879f6417e", "6cf1d69e447e9687dbd2d92572f44bddbabd8192", "6ef0b43cf897f527540c29cae0618aabb7329072", "0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a", "61668aeeb60bd2ede1f9b0873f0e19f6f845a029", "d4bf98518791e0f9177516d4566ca5146fb09593", "cc4aaba48546c598c1585f4973b0337da79f8c80", "2d31ab536b3c8a05de0d24e0257ca4433d5a7c75", "3a39cb039fb0f569ab88dfb058d98650a17c9f5c", "b46538db32a8954a087214370586551ac12632d5", "d900842af0542c283fbeadeec9905922c566e7c2", "4a8085987032e85ac8017d9977a4b76b0d8fa4ac", "ee24d974dd3805e5d30c44c48b53a0ce23cc05f9", "edf96fab969c2745ef0e1baabb2154e0b06f22e2", "2fdd09747f491249e706fb0df51dc6b59f0b7b23", "d2f16e84f5df5f00f2d5b7326ab28bf0fa233007", "625d68fdb0db5c3ad27c8defd608c3841086392d", "3d00fad9ebc9c4cd13bef710de91f4c9d1870887", "10ecdc05144b2c0357abf5df9cef5b843c372b59", "d4c9bb2e6e3b19cd485837d8322884e137f7ee35", "3be7b7eb11714e6191dd301a696c734e8d07435f", "11d33ad636796e1832b77f78bc3357affab44256", "75e9401e70c05c4d080e2d17f83ed2b61b44b3af", "71faeee57ea250a989d2b928384350edef37c963", "52b7f1323229c132ed0a79194d7cedc3b289ff37", "afe2b41cd5af65feda66fc71bd76db602954c6eb", "e19b60e5b8083828285a2baa781ceaad27f6353c", "2a9114c24c9ab0d3beb598a33df54966522dec88", "11a089c83fc91bb78c7c5104b5763887edc13875", "2eebf7012a6179264c3c7ebcbedfc8f288cbdd87", "5535ecf25b0ab5b2ebf26af15fc2caf62e25dad3", "1e511a36cd6c793189c544a6f935958a2d98a737", "9bd36eff633c52c6f6e8ead009367f6b6c43f16f", "da9b7005385544f063c0789438e79aa6da9adcf1", "36c19ab9e0e358b2ba485a32a57eafebe0753c20", "4bb83b00e7b8eb27ad04d4bb80499e91fc471a07", "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "e0b868e7dbf9e43d01082c5f24fcb9e3c01db81a", "9a5a1763e0342d41cb1d1eef18a007be6e8dba89", "214db8a5872f7be48cdb8876e0233efecdcb6061", "6f68ca4cc05ef8db344f0bf1ee394e93d519e77e", "efb181d56c385cf20efb9c0d1543fc0e7464d3f0", "cf0ff92591563ab59e18449b79f058d1f9db9e35", "d22a8bac307e1550a9542c3d4e316496b968bf4f", "7bf8ba8c7fff5e8aa23b5bc68aa1756f6a55bfc0", "4cc5fb6cf48b2c58b283460b19f3beeb7e5b6a22", "c673e2a6b52fa284bde1914214065a247b1a8faf", "4c32a8b84e2ca55586cb655881afb55f0981b15f", "86ee4b6b357c7f30009c34163ee7b5eccf6dafa8", "faff106a31c0eaa60511c7d9a8e4cd4c42374b34", "114b12559cbc2916b90728b09f158030d332e6a1", "87cd95dbe885762ec0f733bc9d232eb4d63cc995", "4987ac5638e1fdb116cc76626465f166998d7536", "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "5e0959a0d4ac8794429c3c3b604b346f650dfd28", "b411850a3614fbb06bc77e6f776b2f23af563a90", "5d5c3aaab050ebea3f7610109617c5d30c17bf55", "6729895ecfd8eed9e73e898b54d6c7f18c095a91", "400630ed6191d740f463a56e21d5da5d69f8dadd", "ea4a93a97bf0bff059034c707fa75a2ca13d8048", "4a13206bc77708debbcbfb01928a3d23ae632d8a", "60aa6b163fd8bc16965807fdd47634bedb04989d", "9a99c23aaac3598180c115e3843d06faa4211fe4", "dda820650eed893fd88d4bc9fe11fd238f3f4bbf", "0b07f20c2037a6ca5fcc1dd022092fd5c57dd647", "1a81c722727299e45af289d905d7dcf157174248", "e5aac48bd54d0954e351123c0ee8128890dc782f", "520901f189d7943ff060239d4152b34edc0524ae", "cc7b941da55d2a4e7bb704f15e49fb4dcd6ee377", "2108b67bd717d349a3474a5ec3a34113b5943a6b", "6c5682f8ea2aa384878f91a561689a544dd0fec1", "2a4117849c88d4728c33b1becaa9fb6ed7030725", "0c54851799df1cec365e4c8c8e48d8b44f3a277e", "165d966940dcccf9c9976ebffcabe72d66996b05", "1469b18d0bb62b01ef4012eeedc478536897dbc3", "61e8584f5f37e6f47bdd2be2f93251ed5934cf48", "a2a0580514f493faef2be987a10c99846e7dfc9e", "80936791605589168f05e0d56d1a934a876dee02", "4af4098deffc22cf901f38b4634d316df68975ab", "bcee0fcc3af1f05d567d25012a64a08857d31bd5", "fbb304770d33f44006d134906481208ad087ce63", "55e4cf29055d1556baf72cd17d2bdb692c8554c0", "3aa9d042e977f99d1124d6ce6cd83d3feb975ec2", "cfd700cb28529a9119824389451ddde9c041275e", "283a2bb8aece06b975a1109aaa8daecdf4d3df42", "16eb964a5a0f5fa3692440f07dd60b23354f5f58", "2bb2ba7c96d40e269fc6a2d5384c739ff9fa16eb", "8bf05e179d50def46b008147fd3cce6c582a542f", "09ae4b2c851a06e0bde3f4e00b9b7c6e5ac3ddac", "4f46dba09e075b2e7dfae1ba2a71e8e21b46e88d", "033faa9639fab487f79f65c2e27d792221e3edeb", "25e979e3c2d4fde4f297bf845796664424ab4c29", "3eda28fba2917dac593bf5d760ec79fc9732da00", "edef734a0bc729162ff7a805363eda88e1633c8d", "6122dc0289c91378585711dfef07b52a1adc9f3c", "de4bcded33b562a8af7f601d17c3202965eb4034", "646fa86edc22ccc452a44ac7a5953ba62fc0929b", "7d92d82eae23fe872e8d29116ae22cbd0b15abce", "0a70401d161c6c180d84e8139ee8bfbaadb2baad", "4c69da79843016d5d934464d3777030741978180", "057c8f04bc5e9f528589eeb3806734e38b1ecc83", "8773d5dcc15ad7f3de8a3deb1fcd2b5e522bf869", "4a3ba4a8f6945382b50d053b58aa0fc7c5199b4d", "8a722c17e6bda2df13f03ca522119f4c8b5bfff8", "3c7204e7f1f7023a569a3e347f172f511ba1c752", "0e8f56d7e0b639e182d1d9693b79653cfd98aaa3", "c04d4dea28947da14cb2c62a41feec51763ceaac", "1272d526614e40ce859e73de7e39a54baffd28cc", "8520da50e5e234c14272921868ff36d55e6c7837", "e819d8ec94ff9b07f81bcfcf6eb66301aa271805", "7abb316e3f1f8c6e6e85e4d416e2b41871aa4ba2", "ca6b2b75db9ff8444744df9149601a4ef2beefd4", "81fe36a1a49eabe38c7d98602447eec518af1aa2", "7dd3dabbc01928f36b4737e481ab4fb2cca16695", "30e547dfab832ea0428b137d9e4824a22d8efd0b", "5fc8dd97ee6dcf60b474f2f169331a05b0242805", "b103cbe3fd070aca73da3acfb3e176e58fa090ea", "bade9b38c45afd4f988e246974427685f3ff599f", "5393c6caebf34d600e6622aed031e961a6c1121b", "fcf91995dc4d9b0cee84bda5b5b0ce5b757740ac", "19746957aa0d800d550da246a025ad44409cdb03", "10ca3d8802ab0cc6ce000682a42fd9f6575a2006", "c2b9d6742e504491800cee44adb05d2d706fc209", "3e734cc79496091e8b08df8d781d005651885c38", "97f5fb31317f75c7ba412caa1adb46de4c51c52d", "e9c2b7677660820019ac5fe0fff9ac3409555b63", "110e44112bb0b742ca2c8ee607fc359698ee1198", "39ebac62009e5f3b2aeb4dc6295f7ce4530e7174", "910022af8e4812334270e9706e16f9017197fc0d", "166d8f840c502c5095c8651540dd393743d63ce9", "ff9af51b07a7e80706361cd064a25d99cde64236", "f9dd2ca5f50642378bd1ac03db4bf74a65b83481", "8cb4349f7d4b04a2e98b727524d3699bad50de1c", "e91783cd31ffe99b050a3d2ee06f632385079423", "f9129b3858c14b5f6cca1fcbf31c4816d94a5038", "0691b9cd1b9b44bff297a62277be514ede9df01d", "d0b77a2cb1621d0b22005c61656349ed3f7b747a", "57c34c5fdd602df84f187f8903efc2972da806a7", "39f525f3a0475e6bbfbe781ae3a74aca5b401125", "abb68f5f393f60695ab16dcee08f2638ab3c7809", "92e7e867daa56d531646e75c4e1b72e6983e59d6", "40a883133e4a21f2b67f2ae689f619cb29fcf2ad", "431ab9a99eb7bd9bd9ced2d32afdda71bbdcddd0", "260a975bb1562127634e3447890447d593e4d6dc", "8959e091e26ff040e3e495984e1704401b7f500b", "5a4fe479d3b737dd29c4cd8b1241a050ea7caccf", "8b20737b454fa8c2848979b5c76be9915a65a75f", "4bc1c2cea06e5f42905f5ee99a6e2c1693c098f6", "4699f98cfdb19e57c2c14c046d0a658ed2267aa7", "e265b020323937234d4ef85b4773e95549baf580", "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "2328b0b5d4e9d4b78b1b9002407a533c21ff66f1", "2409557812a3d26258949ba73a05031591f42bdc", "86dac8e830702e720880bc62d5c1d835fbaf477b", "209a1f024ade2a22d483a7e2b10307a9d000826a", "d5e12c9286038afaf9ae764b044929cd9a458c95", "19d3b02185ad36fb0b792f2a15a027c58ac91e8e", "958055a314841c2d963db16075d9f66f6a803d59", "c6260f83e86dd4d1ece92e528422ecc6e36c13ef", "b401854f6ad4a0a01aa273342f6c40e6caaa8552", "3b2697d76f035304bfeb57f6a682224c87645065", "4b042eb64ddb8991c0e63fff02b1c51c378a8f58", "cebb9e30f8046109923ff5768a2ba9bcdb25fee5", "7a1bf891e09cc7e12a0400c93aa0d1d598a3aaf7", "08d625158727bd97ba6fc58992158ee55a53011c", "9efedc7dd4596819756135c7f1ac3be3d27887a9", "186d6d47855cb00c5bc99497932422b8963510cd", "fd9073597e8d219e39f78ea44d2a502f8f2ee27f", "5b7cf29f164ec59a15ddb55b4af84ca07231f35d", "b26f6e3cad2b3d129c0e70e9307ce9197cad2123", "45a2d0b9d5361742a567bd1978036c0c14c5bd1f", "0cebf440622050f8149d14b803a969917348844b", "afd1e4157245d56711d4f16a5b7c9fd1f39a5139", "4bb1a4ebdfa98e30e12fffec3fe5a75c6c113bab", "aa2a4f7cf8866d513053873a410879ab5b34b53a", "de10c2806f7c5dce2381435546d95435ea362e37", "68667c5d7144c4ad5c8d447c9891356ebcc83e3f", "b5a778e8ce38d1131b9304652c09b2645b41e0c1", "134af834fcbd8206ea60d737aab324aeade85428", "635804db97b8251c54674ade12f3de494d9aa6d1", "e597aca96ea1c928f13d15b7c4b46e3d41861afe", "61f93ed515b3bfac822deed348d9e21d5dffe373", "0eeca9b515768d11cd5f9c37dfd997b808213738", "dbfce5a560a0808c2108ef30bd384a92da6977eb", "82d446206a3e9afba7e5b8c112227df681ef422a", "969b889dc0de12a2fa10611f1a5fe57ab3de1e49", "7f4c9a659aa32482a646b7a7e1e6e68cead381e9", "51d438a7d0841fa25367323f7b12d76c76d44caa", "9ecd0f6bf02bbaf43a9b186c633d04263049ab6f", "861f4aac1178bf1c4dd1373dbf2794be54c195d4", "a2ad9ae7c5adbbce9ded16ac3ebdfa96505c0f46", "f0cc9d73b1e5d7f91f43071950bfda619b1443bf", "95ed9e883b6321658b95a8db28d0704e90973a9d", "2960663d6d9f09bf52b030fb5b760cd32afdff99", "cade92eccd80dad65ac7bf93410177c885a4c2a5", "5c1e0e94d6cb74448c7b3c1e0db42121be4e9bd6", "fb26f1175db9ac4976ee9935083694a9e459ddcc", "5ba8bb7d204e7a5a29a043792546577500e2e5c1", "a49acd70550c209965a6d39d7ff92d11f0a5b1b6", "f8420447086739561867a8227e2bae65628584d5", "aad03480c30c0a3d917d171d8d6b914026fe5105", "a32f693e98ae35da5508c8eee245a876b6e130a1", "6a26016754371bfacc6fa2d116fe9d2efdafab5e", "47785095076b48393bdcffea3267c686a5214900", "89cdedb35b487bcf07d6f53aa91463ea2de8da66", "ff82c10c90d327e84fddaba65065d956c105763a", "e24a5e843d2ea999393b9f278f4b5c80f8a651d1", "2704959c75a2e6741867ae18f11fa822fa544c74", "db299ad09f629a0fcd45b74fa567da476d83a4f3", "15a9f812e781cf85c283f7cf2aa2928b370329c5", "a061fe051e3909da55c20dd0a486ff86e1f3ed55", "e985e7ec130ce4552222d7fb4b2d2f923fd2a501", "152ca42d6701db43dbd8a37901d56a52e4a9e6f9", "b8dc8b405ab941b9ca8313f08a6cdecae1124316", "f180db1f0216c097ed9d669ea69e9d3eddd8eb8a", "23e6517b8ed4dd2ff5dd452f25fd5dafdf905906", "3af0a26ef9a4084703b310eb997ca630d0bae237", "919717628a5ea1bb258489a0f5bae11d24da5787", "3abc833f4d689f37cc8a28f47fb42e32deaa4b17", "3ce8a74b47f81ec66046f2486afa1a89e3165dfd", "0535101387033bf0b5ddf662a8c4d98caa1adc52", "9ab6c8511222c592a571cedb7b04a30062cafe41", "a87aa2271ef76d54d15b2dea9a71c6d04ab461ec", "c64464957177bc9e98f6ca2251bde1b49144af25", "13c4a4359e9d7f5b2abe1b9542c0950946b0565a", "7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44", "67a496908ff624d0e8d8ac2412231c53f1424d59", "9507b1a7af5442f8c247451a63400893de34d9f9", "141487cd6d32f6916bdcb029ac8159eba44e23de", "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "3d25eb8241345f86101fda145d95d89c27844fd1", "0159b548d04a21938f066adc44bd7ca95bcb226b", "67fdcbc07358605a8fd8eadf1200329af3c25749", "ad3caae50feee550b047e17699cfe7bb9e243cf5", "fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073", "7d941dbab0bb645af81781bd3867ebde11c3641d", "d52fa3620648792337809cb664efefec9dc0628f", "3c4c15a6597223887e0a5384237fd2a89b176e4a", "d517b13f2b152c913b81ce534a149493517dbdad", "888bc20bd71d4ab7e9fa16677848ce9332dd80d9", "c9cd6be6bf5f09b245b707aed6f6cb51dd688da3", "efef00465e1b2f4003e838e50f9c8fa1c8ffaf3e", "06cea45f1b965b9820d80ca1107661b54cdb7e8e", "55ef8c3c28e2afda486d8471205204927127c605", "a00ee78381f0bd5926851a68d6ee68368b44a5e1", "6d2c81825312cde3914eb9f06d7965612df0d06f", "06f969d3858b6d14425fcbe7ff12b72e213ee240", "e97a0cbd5f6a239a351855f691c917d9338d7116", "454cb7c8f4e9c777b1062e71cf3bef717b941657", "02d423de6ee65037ea6c3f4a8f2f269c210fb163", "412a82b94129477d3cce2f737365219103715db2", "eb3f204bba4662bcb46a64144f15c0fcd51a02b8", "65539436abf0eedabeb915a52f787b962722c99a", "f57891b2e5860f42c9cbe3c58e926b891270277e", "4a1a7e5d52e097d1defb523575fb8de1a5b24171", "5060e2e7d94e002a5376f4edfd2e48ac01d6221f", "4f21a805c8f6c0341d78dcfebd4e1841f9fa0f86", "624706748e2e62a4e07ae761543da6d41e3f8fcd", "877d083b2a3a75cc1bb25f770a9c5684bf5f6f44", "0162e84bbe995ec06e8e59dd9023c67d8f0e8880", "a87bc818f7409ac97c8719aa8fae2c40d214ebbc", "678166999912492688251a1ce98dfb79d3c60ddd", "05e733bb33a3ae9413642254c456cf7ae1d7f4bf", "3794632e53a463a3b9bf83791ba6f61f1d654a79", "0068204e6f250c7e8a26e5dcccc37b36808bca32", "9f44ac286c4d9b9005f639f844dd2e74b371262f", "a6a6cfae45e8633c01793debf43592b7d515f65d", "66e6f08873325d37e0ec20a4769ce881e04e964e", "6c52c12644321d4256306feaf784ccae6ebc4fea", "02227c94dd41fe0b439e050d377b0beb5d427cda", "87a99f1e27c8f1a13f5c1971f4c38b0fa59456ef", "15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74", "6dd68c403d3edfa77c034c46925da058a539921f", "505333647d4fe7eb80c6c390f79ae601dd1955bd", "856b1e24fcf33dbf0e8bbf07e75c2cf712654b5b", "78bdba66b1a5fb19824be37c4f5c2d20e0e3b34f", "94c4c325c8f7faa85a12b70fe7218e87049ed203", "72635f4e479e234a9ceb9c836153830621b308c7", "97f4a74eec00c5d2a42c6575f99d95567b78fcc6", "7b8baf809d9b643145e089b7a1650923487cf451", "e18cc09c3d3d79df6cd40ea5cf13ad40eacb8a73", "3981d46c0b453f484aede9215bf9d85974d86d63", "dde3b1fcf0009e247f838d4e7a9f57ccc0593541", "4f77c682f133d5010762556ebf512533524da071", "313387fc6c5b5561f23fdc63a546b18f54f6bebc", "3a4abb2b2a8a499bc10b29e0eb293d3e24503053", "3805d47da61527137b6f44b92af3017a2dfe7bd5", "9b95153e4d3972d59fabef0fddce9b7207836b1b", "5bf7a81e48bbae954d7a19615292d9d88698cd75", "805c77bd351fc98d6acbee68b73af915c5cb6776", "13564c316b729cfb516f0c8a319990ea8e69349a", "c5b05718963f4edff80456c441796e4199ad8d41", "e0aa9ab8f00b2bf0dd1b6ffd5c00e5a15b6a67e1", "9fa5d5b2cd6d625973d735e70d44824eb0118a33", "a21b8aadb27cd10d8a228fe1aad27c0c88d67f15", "f986968735459e789890f24b6b277b0920a9725d", "ca754b826476b3e4083a0a6fbac3ac39b494fd43", "5c77901df1e0f52a9774b39e730c31afbc1214a7", "b9fd6c8ae5c3dce4a7a40989d6dbf62f0093dc6e", "05b0383b4cfe007bbad92e72ee361f95e7e9a458", "1839830486082578d2612e46a89e0e727ea1773a", "887b7d34ebac80bbe3fb3792ed579dd82ff7e373", "5d38cc38f3a92e86cf2b6167810eec5893721d03", "2311cdd241c118395a510776ec226aff7725ebc8", "1cf4abbd052c94e63557b7922f7a5fc7e22c6e3f", "c6bbb56a26222bdb8ce7dd829cff38b67d4b03cd", "d9b0dca3a9bf7cbf60ae3eea7bca26cf987d1445", "d474666b880ad7b8a7dfd910d4f0adb7302072df", "134fe1c4f45cea3339c094fee817e7a024d73d88", "ad4ee8e1ea26edbd2b1f921d899197d56cb2f57b", "513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b", "4354ed06582b37e52bc23d0b1e86993d88c00e92", "a511463a423f842bdb524009f6ce6c6b0ffa0f77", "9c2f3e9c223153b70f37ee84224d67b5a577bd58", "1eccf152d034b9ef575a29e6030661627ed0f9fb", "ab34ed858412b08441259374a83f4b3adb615789", "cae208e906f5c21d7c8f00c5e237cced25883da0", "253cedd3022e25a79bcaffe74e3405db65c6d2ce", "0be936107834d08f381018f374979e0949e6b932", "224f31a02eac15e3ec6b7a37136726aff5d0d4d3", "050836151004b1997972c3fcbff0b85de8308e38", "da86500475912ef286d384b4d556df748cedad0e", "bef6daed8cd1ac90ee1c0a42e5c019bbf523491c", "3781cb252207fa5d41f0519e6ee84c26a393bff5", "08aaaf56277f7f9897353a6b09a63ea90b4cc554", "480492ca998b3393b370d176d1f990a3db1c8e12", "ba1c6d526b1d0586d5c1eca811db3ed3ce106254", "8458e49fb08d2cca3a8d7355465e182c30785220", "0bf26d2fd1b375f50c0a6bef086f09f7698c3156", "75003c069da53911f714d8d28b121ed9b29e0911", "81006fe4c4947d225b9fa17e6b98b8acb36a7692", "558540d73fec6fd3856fe0695ad8d9c0b5fe1773", "fb15a8189d02e3b989d553a779670f409f53fb17", "c80e9854c5ff43b0958119d04e884418d7c05c38", "f9e388544ae371cdd1d73b2e444cb46d9532f530", "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "763b9ab0218760aaee314fc92c62efc9a2095b46", "ece390deb6576dbc1fdf132f182a1cc75eb67832", "1d03698a46ff12fdfaf4811528b3e7961dfd2fe6", "93ec46e05059d08c8e454e22c66c34d97f2a2349", "5e286a45a4780a142e1420728ab99cb92993ab50", "d91d1fc3f54fafaa66df12b9db2f83b477992e37", "91eae81dbba3013261292296bb929a18d73b447f", "0fe5d8acc77f54d60edc56c012f35517d9c861da", "01e77cd46ab75bab8f4b176455f0daa592e5f979", "398bbf007544ee736d7bb4227fc632a60125d0f7", "02086be014c4a276663e66ffde4d14f9c4cebe7e", "0029418d56d8fe71d1d45bdaad88e5cc75dc58e7", "817f38e6e9844d4513047916fe88561a758846e7", "09f47fb5a14bb607b889c5da669e670fe02efb40", "2850aa5324998b6d656d9d9c20f0eaf9d8946e2f", "936d8ba4bf32ba96fd40a7a3e7f6e0d1b15040e5", "6e3f5d761df91f4ff598cf1bf8814c2f5597b553", "68b697c207761c2acf077072ef0fcfef102f7d72", "41399dac2075aa82421c8603edb29427da3a6166", "46d0a519da10160a20a3070cc53e5b9401066526", "1afe9919ddb2b245e21b610fa96037724bcdf648", "213777d00adf001486e6fbaff879eeba7ff3070d", "67a3cc056a539d17f00b0be550a2fc7cb2118dc5", "4a8f521b929f72da2e9ee4af9f43e941f02bd114", "dc0d690da905cf9cb83d606e522b89df2818bb53", "7a92007531fb19c46b1d69f93b52ce6650c1ca99", "41fc42b9557d6b954c932617ae34390007babc65", "882190b77ac33c5c988b1b818afcf83e5ccf9c4f", "9f2d7b7f5d983cfc02dc3b06dadddc4902afdd83", "d70874832f361ae1b67abb210de32ea88c5608a5", "02f7077d6488da99b013937f19e138ce2830f982", "04b2cddc8e04a02d685d6476f00d0d25d4dd5e72", "cb658e9e0823dc7afe66b593307b230cc2747790", "f5c99652c4c89e56156faf2bed361a15de6162d5", "6b83f83a374312c7246ea694f1c138641fea0962", "0a2c9e1dab6e32bff5fa3fa4a1de10547f818d2d", "ce5747733e8d796ca98a8d2b465f9bc3cbf24931", "0443c1dcf47b196752c89f726cc840a2437382ed", "e1e490b5d0a179b8eea022b64e83bbd611114d4e", "d264a1b519c1e68d6f07cd05b7422061647e1dfe", "709198f1a7d42fb87d46a8f5dc48e23e6564df1c", "1697a4188b9f75ff5324eb9957b8317f459bbf59", "357b39c9667ec894410042a8338a6c63f1a97bac", "2d54dc50bbc1a0a63b6f1000bc255f88d57a7a63", "c71db5d3546e22227662ee0f0ce586495ef18899", "046f1c194a09fc84f535c27a3373622223a80c67", "464cd3c5f0e9a05dd685a7b71fe88b913da520b4", "1225619985309d5b7ea7cd55985707a2e07dec90", "7671234c3726fda01b2842f85327624f0dda8ead", "56bb321e0e180f72be9c4e9eb791b251073750e2", "3765c26362ad1095dfe6744c6d52494ea106a42c", "3bdef2961f9572d2d0f35148a7fa8a3a81f50dea", "fcd7407d0df030d03e3a8879f184d4b3ceac4fb2", "7cd99c15e5a1791f1fa5c9c9969312c7dd646574", "1f03f21ba6c1bf66b025029b10d4bc9bd7f65a81", "31a521f2e1abee3b6be6e98b33aa915e3c4dd8f9", "32ef19e90e7834ec09ef19fcef7cd2aa6eff85a9", "811cab87c37cafde75d5b289639fa409d8c4af86", "7df67fa3a69f580767cfe52b74329c26a2fb6352", "3ec5afaee732157a1039d25b953aec38bc151638", "2d4215a73e4cabc12a8ea5f49a3661d741add0c4", "066077e9d76c779fd9c399b8fd51cb6a6da3e3e7", "832b37fab195a8ed71614c87666b9f6e71e367c6", "2467767aaba7c380e742ff3e3d1a84a649163f38", "365b72a225a18a930b96e7c0b215b9fede8a0968", "98286df6d923d787f26e034bbaf3a5a64ac29cb1", "85ac4459daedecf04c46c0fd90adf57238a5993a", "12149fc431d2b3ec4d1f194e92e74c765e51ee67", "d5b66763cf15d4eefc8a5f15a498262bd9e58526", "1f736b39ef43e3dcc82e6c62a38b94a630b7d830", "dadfa5bebaec79a378e3c260d6c5c415f82bb5d1", "d8abf01fce0d44665949e7a73716fff7731fa6da", "02c8de83c3bd2226a918c925400628902b6f175a", "ad2afeb4c1975c637291bc3f7087d665c3f501c8", "77199ec703f163e716c47c836048e7f7c0e61370", "05384ac77be3211fb7d221802bc79eb3c9fa2873", "3a0cceb1a10697e3e17738579d27708c9c3303a8", "34cc32571dc9567cdf094765ebf8399288d833da", "5d9d1b95d5afd58f6e53512b7ddd04b78d62864c", "f6c3a40ad2dc387bb6a1887497707146280dd695", "6bd6460ec06adc1bd69d9517d116fd1545c04ac7", "582c87ef9e98c24694c83eb03853eb96a4d84809", "1856e71437886af2366b620bcfe4caf891425f7b", "6efdb14cff9cdd9ed049eb8857b9f64ec38a45b8", "95ad4f39a2368b26c429cf8118364d63c3617ccc", "5b25b9053ceafe1cf8258d8daa818a2da80c800f", "0523e14247d74c4505cd5e32e1f0495f291ec432", "5b5d8b55e3365f74f4dbdbfdf7b72452a688692f", "6d7dabc58f53c0233d6d593a8fee76d1c7f44033", "401a8272c60216d1ce8be58edc13b42b1bfdf912", "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "396aacab076a3607429f58ce442d5d57b5aaa794", "955aa3e7317e236e41f05ec2853b64236c252af0", "090b341def78df92d562e7d8e7f9d131a68ca769", "da6b2dfb5b0b91759a69a388a4cee5eb1187ad8a", "3f57498a6ddffa18225e6f10e9d5bc7f9bd24613", "e22406cff5049dec33dcc8c60fa79cbf4c28ab67", "ca48c87bbba1a07cf126cf3bb04a53d1758d66f5", "106150b707a31f0825bdae44eca4139b715547d6", "b69badabc3fddc9710faa44c530473397303b0b9", "02d7f9715cdce854d727ba763c81aae5b04d3a3b", "2709bb385ce53c83a5fe952d54a4c5e5786c0849", "3b374fd726c8cd2c79c1092d76e3583265866362", "10554295addeae86571a26de6c2ad7e274963953", "23e0571fd42347ca2bdf424b8562c6c6f72b88fc", "12660f0defc6580e566c0fa2ac909971d6c6883b", "bfa6ad4d71008505729274d008a9b4a7d92b2985", "0d05c3c1ea5a1b4f5b4c66e08f4185255d286e94", "6dc71e318afd9a9628ab091ea7519fbfd97e0ef4", "0b3a5267c6543a8b4ff3473199bbc648596f6776", "268da7a23078849e10ae8209d0bb1e5b98ab5244", "d4be2bd85176e5c3a701174d7bef2c81aa5aef02", "4a83d9d07cbac4a8a279073e3873d01f3215f2f8", "1db9e85f9bcbf14ff6174889985eb3db4cb0c132", "ee0d7a1dd5f0821b6f48113a283b9196a38d1c6c", "ca627984743536d9403cbc25c00d033bcc1cb839", "17579791ead67262fcfb62ed8765e115fb5eca6f", "21dd874d7103d5c9c95b8ad52f0cbf1928b926e8", "038554418107375d4c2f5f6f8afbc04b1f9a6afe", "6e80ad43c5f383c1d87b1ced2a336fe5cd44e044", "587caa61ac2ff1b45acf5c8f4ae1478addd79b7f", "3ab93fe26a46f8bc0999e68af71a0907a63a5e65", "7ed241bcf77552889850640ca9782993fa78c1a9", "2396ff03c41c498ff20e3a0e5419afa45e4a9d41", "05962afc7380a1e13a99534979d3e5905978f27d", "3b5b6d19d4733ab606c39c69a889f9e67967f151", "3a772ed83fdc90e10def9d38f59153aee49cd47b", "2edb87494278ad11641b6cf7a3f8996de12b8e14", "7cd097f3866d56114c1778c0d9ac1c4a9a35cff9", "56a818455cc83b6d685ee05ed9c9adeab530caee", "8973910c8acfd296922d9691a533b3c5061ec815", "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "d9bc16dcbc13502389704e4a0bdd8ee7af618069", "765263556ce90c5c0d86d3e6d8a21e04a307b60d", "2fa1629d75a03b950c56bf9b3430b2983abd7881", "c338045f80ab3465bdc381f2b1791744b060fbb3", "639f0d9e9dacc3d6f91aa2b1a9b9152220c24789", "df3c2ac15c71b6cdc07f4268ee83d4fc1984545f", "1ed4791ea3bb9a9503a1cb61b525757e0e4700dc", "bd77b5e4edd665a0f42203760b8fb7933101a448", "9933357ce4ebb5647925ca8ce39ec68984b4e5a6", "037e7e2941239cc35782b8023f421799bc71bddc", "cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d", "f6021093cf962a0ab67f5e8a981036f6659a5230", "34aa3dca30dc5cbf86c92d5035e35d264540a829", "f9edda8351a65d23967132a4f9f5d24ff3bf4f11", "156953cff8836e6d06f85e4ef7fbf2264ef6486a", "99b7ff97ad54308b816e47d9bbf6704b787b8f52", "76adc7fe42af597012a1506bc39b9004d8f61de9", "5b3f94200bbe38e1115e9ad11a5f5707a7904732", "64b22e5af5dc07309c85a742728ff6f476bd71d1", "9328c702d646928690b5725203b79d7dcc217802", "059eaf1206d0f28c19b06972d9946364e0e52546", "325d0969f46a449ec63b9fc4b3870a5415d10b91", "708ccbc563c9da72137800ed86949c4c6e1a0fdd", "205f3d654b7d28d00d15b034a8c5b2a8740bd8b6", "0c0dc5c307483642e15283d0d52a4159483d3df6", "2c4dd7d5ec500f180cc8301d96389a81d3a99c65", "1951f201578b89943a625e16efc1254ed7bbe191", "930a33327a030a5a30e3912feafbba0ef0d57e13", "06b502150115324c8890b6d01184d74dc6b8ca72", "4991dcef497ddd7ea115663985a9e0635494a95d", "7e45b27ec7339dc557866b31e74c71a52e99fd32", "ccf4049dbb61de4e2f8ef918b8f639b148109e65", "bf065e114e50120a6f2718d656ff56823cec639e", "07eaf19eecf4ccdd5f8e3367c1675d9f4addd2df", "74e68366a075b1d61952cbf7d51e23c2cb831279", "f63d5ff1f11a72bb1ea97996f54a60543312f25e", "1337acf12805a24968c0518e695ca94f103e630f", "6434b95401aea9ece22b2b29950118afc163c2db", "f76faa629659ce9b9b8f0062549fa2810fa3a1a3", "d74da7687d4c5d384039d5f551d8cb1a1adb3194", "b76ddd8e9098c4b361ef72ddaef42bf3c85f5825", "b9f65f3ea5aef51e7955e1972aefc1dddb400b59", "d315396cf26613a552a41630a9698b71b6fb5f9a", "53e8781bb152e8e05ffe03737082448ac3378e37", "38eb71578f82477f4b032481bd401f19f14eaf25", "f8a3135aa603d53bbc5c13a7b16984761694475d", "a1e14192035fd64425840d613450d272c43dd39f", "75c9dc4cbf7224b244a5c9046f998543ee8926e7", "4f3484a1b08b332479f0cc0197528e9007292a90", "356965584382b789e17d073edbfc096aed74d05b", "ecb097261781ece1688919fc638517460e18ab4c", "d23d747e9936299b177b0358ff0502a884276aa2", "12138be732a2aa10e4eef460979bec64eb8e4f4c", "e38c93bb8f7ee103eba4b78443d94f55a63bdf08", "75cb21fa931e957941c0237a1030aa36209bae36", "86eab1845deb3614233360b6bc33ce1ff074458e", "0359935f5fe14eb4cb8af9486291f760495de7dd", "e58b63832dd254bc0cbee190db00de50004b46b3", "8e290eb707a39603ef2862ead218a3ebc4e9d687", "966f2106b12d2425185add5666816abf8c834e64", "87e4178f71990818a3c125a41db91749bba17cc2", "4ba1fd0aef931741f9e7d5711f2a652f76771937", "c4f632a1b6faa43c217e63c58a4764511104c303", "f31040b6d7e135753eccd6ca573d784e9ac9c8c6", "527087539d468976684031414d244c75b35fe1b1", "a4cf949a3f6b7b094983acbd6a042766e09e8a2f", "0353903b504d6246edcdc6b2c7d32e59b5c0a863", "c2b1007824fa7ce3a7a94209f0be0902a3454bae", "2049ca79ce94ddfe0cc3d39bf770f580a740f3ac", "31f5eebfebac54cf5817deea7da32994637a5b28", "a9351c53346be32b7d6e0e80a93f2e383fe85eae", "92dbaaabb91d14ec71843970c604303680c26695", "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "e6ffa1c305512e0d4efb9a88cfec8294ef476e06", "19ae769aa067b5bd781882cd18551f7abe01bcf1", "2171a1414844b161c9f08f08f76d33926d1db321", "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "4d48f40d4599dcebd3b31667cc113e140f95607d", "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "8c618c038c60a385d220193f87b8b0759aab0fd7", "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "012cdba79f672e45240791d6c52f213640347b54", "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "436e40bfb2b5f8ba771812b7299669e677ecb29b", "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "774b649c75078e10759b3b6c8ea581e68fc45a40", "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "e0c6748799529ee035b21f040187d1e6df232624", "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "080d3d5055e684fe3aa8baf9cc06d6490d3d38cb", "c06b13d0ec3f5c43e2782cd22542588e233733c3", "8e8e23be83ac0900e082bc795337887c48467701", "309a62afbe1ca7ac181452c5b3c50e2f860e7e65", "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "54c28bf64debbdb21c246795182f97d4f7917b74", "5b1d78b160560db5f581e65289ce5e2f99eb9b1f", "5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0", "dda0b381c162695f21b8d1149aab22188b3c2bc0", "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9", "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "4a303369828d9334022a0f5e8ad2b1a715d1c0c9", "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "36bccfb2ad847096bc76777e544f305813cd8f5b", "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "e42e7735f94a8f498ef0bf790ab43a668f904848", "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "96330777eb14dd6bc31d61b0d7f276083a04e34f", "462e13f050e89fe10180d843838b9a679ee08739", "eb7bee63337d6219bc4391ada57b1bae03717872", "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "94ed6dc44842368b457851b43023c23fd78d5390", "8abe89ab85250fd7a8117da32bc339a71c67dc21", "ec7cd3fff8bdbbe7005bc8d6b7f6b87d72aac2d9", "5957936195c10521dadc9b90ca9b159eb1fc4871", "909c23143162d98ffb2447f0018f92ac6cf8591b", "74156a11c2997517061df5629be78428e1f09cbd", "53e081f5af505374c3b8491e9c4470fe77fe7934", "78598e7005f7c96d64cc47ff47e6f13ae52245b8", "195d331c958f2da3431f37a344559f9bce09c0f7", "c2e03efd8c5217188ab685e73cc2e52c54835d1a", "427cf6528901d7fd5e5acfe4175ef809ed8ee7fa", "bc910ca355277359130da841a589a36446616262", "9c36256275e21cc6103e92414aab35cba1c61a0a", "3d2891950f1b76f783a9ba77b3c55b8e68b95fbe", "768f6a14a7903099729872e0db231ea814eb05e9", "5213549200bccec57232fc3ff788ddf1043af7b3", "4223917177405eaa6bdedca061eb28f7b440ed8e", "9e8637a5419fec97f162153569ec4fc53579c21e", "06262d14323f9e499b7c6e2a3dec76ad9877ba04", "43ed518e466ff13118385f4e5d039ae4d1c000fb", "fa08b52dda21ccf71ebc91bc0c4d206ac0aa3719", "c18d537037caf399c4fabfdec896c376675af58a", "fbe4f8a6af19f63e47801c6f31402f9baae5fecf", "a73405038fdc0d8bf986539ef755a80ebd341e97", "747dc0add50b86f5ba9e3e7315943d520e08f9eb", "d2992e7e98010c83a9ba83d96743bee551dd2d8c", "15bf0e70b069cea62d87d3bf706172c4a6a7779e", "355746e6e1770cfcc2e91479f8134c854a77ff96", "2aa2b312da1554a7f3e48f71f2fce7ade6d5bf40", "9b4b2a575641f3a7f8a5ce28b6a06c36694a9ddf", "a0aa32bb7f406693217fba6dcd4aeb6c4d5a479b", "f11c76efdc9651db329c8c862652820d61933308", "83e093a07efcf795db5e3aa3576531d61557dd0d", "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "0bab5213911c19c40e936b08d2f8fba01e286b85", "3080026f2f0846d520bd5bacb0cb2acea0ffe16b", "13f6ab2f245b4a871720b95045c41a4204626814", "3c88ffb74573c87c994106b3ae164f316182fc2c", "69b18d62330711bfd7f01a45f97aaec71e9ea6a5", "91f0a95b8eb76e8fa24c8267e4a7a17815fc7a11", "6fdf2f4f7ae589af6016305a17d460617d9ef345", "a85e9e11db5665c89b057a124547377d3e1c27ef", "df3d85ecf8e326774cab59aab75b572fcf9767cc", "258b3b1df82186dd76064ef86b28555e91389b73", "716d6c2eb8a0d8089baf2087ce9fcd668cd0d4c0", "710c3aaffef29730ffd909a63798e9185f488327", "18dfc2434a95f149a6cbb583cca69a98c9de9887", "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "a26fd9df58bb76d6c7a3254820143b3da5bd584b", "dd715a98dab34437ad05758b20cc640c2cdc5715", "11aa527c01e61ec3a7a67eef8d7ffe9d9ce63f1d", "b806a31c093b31e98cc5fca7e3ec53f2cc169db9", "0141cb33c822e87e93b0c1bad0a09db49b3ad470", "370b6b83c7512419188f5373a962dd3175a56a9b", "4da735d2ed0deeb0cae4a9d4394449275e316df2", "3d9e44d8f8bc2663192c7ce668ccbbb084e466e4", "6a26893ed63830d00f6d011679d1b1ed2d8466a9", "5a10d74c7fc3294f76d771df413fe0b0b35f2ab5", "2b0ae372a8190b377c27259c43aeea5e55075f50", "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "2160788824c4c29ffe213b2cbeb3f52972d73f37", "6bca057c25b48fa7d1607e5701c46392ec906822", "3f04365f59ee8bced434ef82a04ab0aa0ff43cd6", "ddcb62a2398cbf499e1852ee07956d4fd58e771d", "219f54d3b9e2d674d9866ae80fc6caab2a9a6ed2", "a02c87cb623f5e20cd986ffcf046d63a5add0b85", "85f14bb2ed4b9d680ae4062cbd571752a1ff1dfa", "7c5b4abf25b212b9d57cfc62b75aa45124b7cb11", "3d919e63307610258720cd0d39b37904acd5c77e", "3e91300a76e5c88fa9850067546a6e2fa1c8914d", "7ed6ff077422f156932fde320e6b3bd66f8ffbcb", "2ce38dbb4d4228ae4a7016b0422155a274b88659", "5b9ae36868ad04f8eec4b51c425ea987ef74caaf", "7b8ae23573fb33e6a762e914128c425a7f381fb7", "dced1e101af923fd1a70c09df972f3b81a998a6b", "82ec2ff0bef7db7e5ea48c42336200fb0e44dbf9", "8722ab37a03336f832e4098224cb63cd02cdfe0a", "a30073beb1350032cbbbff79b71c2c3f1322b614", "decc4de8b6964ba473744741c3a46ac37f2d6e3e", "4061f7c60deb3f22e10fab6ae3fccb69e06c34b0", "8f20c3d2389bd6729bdb1cb5831d3ff0d7ac2c65", "2eefaa9c278346b9e0eb51085cff490b0a43688f", "f354b080c3d49c3e48ca3bd730cdd74df7ac5cb7", "4813d9332a1f3ef2bf5846e81005895322310bed", "dc041f307d467918ba684d3c425fb23016f3b28e", "67e7c14ecae22868e8159c52941194cdf6f003a2", "a5c27bf9b27af011b779ea1aff0543ae5334e563", "c5de09398c13f440c03bb4429d320e0e65c63b52", "516c59a82888f9b401db596ff067a0e4f9bf3db3", "534ac5cd8e2503b333efcc94d92e5359b54190b1", "4348c8706b92a9bd90dbbd735f824ec79e96dd71", "202a923504ea81e94c06a81581539b893b461ee5", "d535965ba320a20bb4df7fc671c83795ef48aeaa", "92d6131082286750232fb6546470adf3f8f9c7cf", "b1f177f70086ee19cda2738aaa124d534f09b3a4", "d1eeb413be2a5abe0e20fb57060a57649244409a", "2299d971cb38dd3335fa94cfd5b9ecc2f7901dd9", "2d05fd37ef8f148711819d777757bdcacfaaf175", "35ee8aaa4a2ce4d36a1c608268a430eddcbf5c1a", "2864c8df356b1b915e16bb285bda64bfd7396f74", "e2928b6bf05943782ff19c040804833c95435666", "b8e35566129299c3591af0fd4f127e5e0d0b5774", "a654fdf590a063d15344caccecff76d971635993", "eb724fed2a6457a2ee41a205892004116180bbfd", "07050b9fcf949487e32aa30d0534e46d7eea58b0", "51f9c3017455ca7440f34c01bf23764d3cc07aee", "0670849811a6ba4fbfcbe11126b811dd94e06e66", "4afc85117d687628df7d88836e2346bc4aa77e16", "29f21bf4aa648f0996b41b03fc11b07a0e550f46", "4cf0c6d3da8e20d6f184a4eaa6865d61680982b8", "8fb849fe51fbf4b56393cfef26397caef2a22fb0", "a94563ed497381c349307499e30ccc75054230b8", "623da0faea1f98f238936e34f361518829edfdf4", "bc5be2dacfb9b9a524bbce627268eaba70066236", "83df0ec6071dfda29da831860fdb2a1f19a6b3bc", "45ede580b1e402aae6832256586211a47c53afe3", "2f7a5dfc04b037d1841e1fdd08d1462f34c6a1da", "e4d90019c312ed87a236a11374caeea9cc4e6940", "f7ac8523770b5965aadc27cb5364d77853113be4", "a5f4bb3cda5241cb684daa3d92e611852e06bf8e", "78a7b042dfdc8c062a1ae9b4b93195b434e91aca", "cebfafea92ed51b74a8d27c730efdacd65572c40", "c2b03ad0572786fd37c4a4a908356cbf85d79f75", "4e5e6d405331aa4aafc88e3ab31c7f45720c00b2", "3039381ced50a910234ceca5133a69aceb324faf", "58f7b9ebdb9b380cdfbef12b8abefceee0160a58", "fa72b7140f9fa4fb975344109e597e9566c65f4a", "3633b26502ef1697a59722be794947bc510dd0aa", "8e8c141e06d52cee1917b7268abca315bf3af714", "4af25075729aa4d0fa4ecf6c948f59ec15bf9565", "3dcf02ecdd6bb1d487c554ea987777bd5db08950", "7608953ef5c7a882bd2e7e7053a600e543748233", "bb562d026664e53cada5e78ff99d9b8f223117e9", "50e5dd45a94a56cb973e51dc3347e621266db7e4", "9e9c600919332dcabbd32bbe81a00d1e47449193", "e596a4aedb5cda6f0df35d38549564a0dd5546a7", "351de1f7862bd13a82fcfcaa698b4efd53bc2c35", "4d0e64da142299039841660ea03f24575174afa8", "6ab30c67fa966b6bcee61de6294245e2dd8604d8", "18ced9c7bab4d7fa69ccf2d3c8783317ba94e59f", "06f7e0aee7fc5807ab862432a4e5ade2cda73c4b", "3d855f0665a912ff2c7736cecf9b8eae3effc281", "ed1da141e83ecbf3998fe88f222c3d50136c548e", "a80355dcee5156b064e31b39c6b72037044ed87c", "113ced4a8c5ecb6da1b2eb63c1300cd8df982917", "644602c65a5d8f30e62be027eb7b47f7c335191a", "1958da636ce92d36c0985a6cb00696d90b2475f3", "f73b15d33b9dcf329cf605815be7493b162b1fab", "734be7f538d4cb9fc727794ac86ff2b04aa5d468", "0fc52c1f7a9601067cce260f8dcb7a7e796f4281", "740d4a7322eec687d1e6f0d2b71fe2d804e1ae70", "34994e291f2ddfbb2938599730a5f7a79498dfe1", "da8d102e9e5ed5d79200e019b8d47a256a1f8452", "5b7856b7669a5746b7f14d2ae5452aa2dc89d454", "214c966d1f9c2a4b66f4535d9a0d4078e63a5867", "7ee17d2001c9fcef63e3a56610cacc743861d944", "47de0569259e6a420c3eda69cdebf01bf85a1acd", "f312fce73aabd97bf4fc02fe2829f6959e251b1e", "7033b916a7f2510ca9766b7a8ed15920a9f9e2f3", "fb22404e46dd46b2c2cb9a85227a1ab6a8ae4f52", "533d91cbb5e306c96b71b6f776382f3956e5dc7d", "cc00df59309c13f72fcbd44c88509210c157ce47", "45619a2b7b41fea02345badf880530519d3d4c8f", "f4065d13bcad78b563108075f650c29a2f3f1917", "58f445fa45d4bdafac43893a55b21348f9e1e6c2", "40b2652cf3bdee159dacb6e18c761003c31f4205", "cf009a6b02fbef514a4bac9695a928080ceac764", "a9f3aed7013b1a09b7fd7464b45e3e0835600718", "02039d41e9b61af510bab0b3252396a0e350afa5", "1b3d5d95e1fcded017f193f5cf9772bf8a1ed108", "3493b2232449635aff50fc17e03163cb4b66f1b5", "7c0cf2fa4ed7cfb1cf41c986fdc3b82c53177854", "f39b88ac61264e9a33dcdf47722f0d048a8e490f", "4c8a4f659e827a3189e14f0efd00987dc4c7785f", "382f1ebe6009e580949d5513bc298cb253a1eeda", "cb1e34d7fcb7fae914fcb65cb9cf25199d49cec9", "0babc4af06d210cf38bdf8324c339b6cf3f424fa", "8b162c2a15bc7aa56cdc1be9773611bc21536782", "22a12ec4258f223b43761e5c4729787d1aaa623b", "3027727790598d913a8ff9a1bab4538176ad9fc8", "49d4cb2e1788552a04c7f8fec33fbfabb3882995", "c595863b90b904a7b3197667b62efa16b0fd5ff6", "36d858eb19bba43244b92f7faabfce47b13f2403", "3cf24e5e15deef58cfc9ef43470a7db9a2bb97d2", "9d4ebcd84c4ba2241cca3242e22888558b62a0e0", "cd855c776240150f4dba7a5975c7011a9c6737ac", "5e4a451faf2e47486a5dbeca8a5109b53e22d95a", "75f302f1372136c5e43e523bacc0a2ddf04c3237", "11b45236b2798091ddab35c572a35f447bb8d717", "ee2bb1a7f58b4c3735a52e7692e6293413d72dec", "6555977f0d5f993e0bee7c2ec3d1fc819057da15", "75a54f49fccee29faca8931fa8ba700030dcaa75", "c5ee2621e5a0692677890df9a10963293ab14fc2", "48b9f9ddf17bd29b957b09f9000576e53acf8719", "d6600601e1a1101d991c0bffbd737975db9ca262", "e4444820fb3f6d1f41c6ea51c6b2ab8ceb04a3a5", "0a850a9fc853c358aea1167e1f965cda8980b7fd", "0c6fa98b7b99d807df7c027e8e97751f1bbb9140", "0a267d927cfae039cf0a9c995a59ded563344eb6", "d7ed878c08c90186e3bf607c20ff943834ad0d68", "67296e6cd0084c301339889c4ef1f71a04406b3d", "cc9f473584c1a7f224b42d4a3a3ea2864173cc28", "105fdf31d14ec55fda91c05059ec83162ba7ce3a", "47f84928dd6e40797255fa1e1bbb3c12b2659a7c", "5b600cfabfb3c99085ca949fc432684e7ac86471", "8d7d02bdd3a6dfc01982468ed3eb4e66d99a302f", "12dcb25f10d42ad2b4352ba9fe7a6a32ee2635a6", "323cd51bc18c700fa88044dd24ae663a7eabaa68", "d0a188debff9baca296787dfb207f151cb78300a", "7de028e5c878b56057559bfbd57f1ce6482ec282", "577c1d59e43f04a4bfda95b0b9e3b41d893bc0a2", "cada850299f0aa71ecd9b37a2496802ad8d48455", "193c9406a4d48738afd799b70c3d7174b6618a3c", "fe6cf3776cc88a09b5f3013601c35b9b2b06d2d2", "562449f9e8e7f91521e64b656b4adb472437f757", "2df019ab06988ebce826e0d7eb2f2bac7f1743c8", "d50abaf36212d31c758643c70f487ee272c0b627", "47382cb7f501188a81bb2e10cfd7aed20285f376", "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "307f0da392588b172a68512969d1fb61f85fbc0f", "2ddfe58e6e62dbc96138d434761d0a8127382fb2", "31c52ecc98ebf046df914fd113abcae334e1cf0e", "7280000cba3a3279454890372668362d00cf3ab0", "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "f266c3bb846ef13a8bf0d09a66461e1e77464475", "33919313bb3cf09b00f9fa2253b30af33a52bc51", "89ee022431da849b4991e41c0894d7535008ae99", "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "30c43c0eb26839541861819f420f1ac2dad0711c", "19f8f011516fe6ffa4ed74776a0149c9dbdc5ccf", "230aa8fe68068f2e64876bdf1c41d20b4923288f", "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "fd3131b370a81e25aa962d266b2b32922ea4e613", "da3708836813fece4170585f2f9248a34c6ad183", "453febab65d4047e04b320daf8877bf5a018b6a8", "0c56f414251d6c9f43623ee683dc6cae3be1045a", "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "228408c76823355010bb13e5b3f32823b35a176c", "29be6e76d9ed777ca032c40a6ab374a44bde38bd", "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "72fe1d86581e4672a534852d1e4f4680811db074", "ce3edf04c9f0c9da462832cbf8c5a1982e3e6bf8", "c0de99c5f15898e2d28f9946436fec2b831d4eae", "537f8c50369490cc90303522dd4ab80100fa1e59", "0f8a0c308bb63aaf2741a4817ea0464a85854e4d", "c81b303005459285a5864ea4de71f77025cd5be5", "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "4ee4a540b3a2bbfe263573852d2a5f6231002145", "550c8162757b9fb649efab8529d86daa99700fb1", "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "f3a34525fa7021322f132c80c9517f240cf1e742", "21033d95e673cc4b28d81b15c80ad46cc0bdc22b", "1a39ce3f624844a1288b6deff545f6c4d79c4fae", "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "54378aef6ec3423ad44d61de61b301be9f5c686d", "01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa", "270f029b03ee1bdfeae4ff4c5167b450d185a981", "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "ed3c4d2d28faaccbaef876a7daaecc3cccadb48f", "1d6c13beb860bae7e566b7dfc5c0a449b854a590", "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "95f641ddebc34740b7d44b0b8e8bff0163534891", "cc18b36be217e4640a20d55bd69b790b6d0f9192", "99ae92bae7c873432a6a60238b33d494bbae13eb", "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "81fc46dd71121cfafbb11455745ae62f6eca0b25", "93ece2d76dc69c7340c6e2c499b58c27dc9e3de7", "545388d4a8e79cab605cea9b3e1ff1da0f848f8e", "b137480d2ccf3b53433de208815ce891d95af912", "3dc3f0b64ef80f573e3a5f96e456e52ee980b877", "67da3d4d98b967fa88469374081e7b130afe4d45", "6cb485e40da3c1536a2482ddee103e9054ef5b7d", "ba89ce698b9d890ba942b31f7ae0ed5dac985077", "001e445f473325bf2ba7ee3437bc4e8a80f2429c", "93202ef6a794c1d70b50ef42807977a2986acc6c", "ed87e27aed9faf57e46ec0b93abb049376662db8", "95fc686c3de2636ffcd611e02109fb005275fbba", "2cd5350fb4835c60adf1c329a6f94edbfabb6f2a", "0475380e39a5017f5c61b01a0c58c1ea7a7cf50d", "afd0fdd40b47b8f5dce50162d436b4f942db051c", "a9cf682c7a6c440502fbec82ec2917c295f85ed4", "959b2d6be5979eb5b67549eab9b0ba028188604f", "5e86e17d83c97dafa3413d1d0dae219bd527ed61", "b3e51092fa8b127bef0e46c2e54f24bdaedf30c3", "3bd30e1683cda28d8ae3bee8f23cf73830c68ef4", "38523899d7b7e2887ad701ad32d63af24e034c8c", "97c5d289065f5181ee25e2f09746ce77aa12490f", "c11fe04b0a4a14e11d5465b3376c10c7232eef6a", "2b2d8019a53bf36cdfe204ebeffb559d3aa1fe98", "f9f883a772584b61d43760174b885baf68be7e09", "2d41de9f38923e67dc5aa7ac5ace85ec18302e6a", "03c9e963e0896040c96e32057a7bd97eafc3c595", "645ae07bda299aed8d6d2eb9a256289a122f43d2", "6c5bbaf8d14766b428ec0732328877138560615e", "4da86a8cebe1d4881e73e02a7a21e3dcfb6bba8d", "ec6900a4080c82a9365d3d47273247548c480a82", "55e608981810a243d507c5c11a2656735de6338c", "4cb59b9f8ad668ad5376777861a91797ea2bfb0b", "72f2bd8d083bff95b757a88902ad267c16a82b74", "c427bc26a8d2615015cfdb216443f78fb716fc69", "a6657bd80ea5f862cc28e711b4e2e51d26fbf6ef", "5e9069d6c70ed80c98bffe0d0434c37a52a5724d", "919b80cfd09a9d6aaeb3ab9836ca16934a84dbf1", "a86f388811dcd726239b01b317389743e5896e50", "0eca37ba961f15496b8cc92fce0631400c71b698", "144f482decafd2d4e968de98d9493eb49cd35841", "39c53325acaa712bcd946c10e0e20df2fb2580f6", "c81199b5e7e4e5e53c68401cc1239e5aa589c91c", "0004f72a00096fa410b179ad12aa3a0d10fc853c", "3b468579e0cae73906782201786418094d0ec086", "e3917d6935586b90baae18d938295e5b089b5c62", "b2f188b820db700a4b7b3bffa52627396da2afb1", "36ab76ffce98bae5f4d5de9ebede8391859b075d", "9f3ea233206022922db7741d8fafed6061a12295", "e7be083e34cbe38f5aab305bec5e415685cedfbf", "23e824d1dfc33f3780dd18076284f07bd99f1c43", "2880f343892683a6dbc6f655f1185d44bf4d1629", "4c648fe9b7bfd25236164333beb51ed364a73253", "1e9700ab5cdb35d358379fef53260991d63f621f", "cb1b5e8b35609e470ce519303915236b907b13b6", "0ba5369c5e1e87ea172089d84a5610435c73de00", "0fdfc467c9aaf887d3699b546f98810ba4a781fb", "23fc83c8cfff14a16df7ca497661264fc54ed746", "31ef5419e026ef57ff20de537d82fe3cfa9ee741", "c0b298ed5940cbcca5b5c670378e193580c81503", "c259db2675f3bfb157f37e6c93b03d1d14dab4c7", "a1490ba76d5055c8d07c156aa55aa5e63f51206e", "f43eeb578e0ca48abfd43397bbd15825f94302e4", "e45a556df61e2357a8f422bdf864b7a5ed3b8627", "0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056", "9f5e22fbc22e1b0a61bcd75202d299232e68de5d", "72450d7e5cbe79b05839c30a4f0284af5aa80053", "ab6776f500ed1ab23b7789599f3a6153cdac84f7", "86e370a221277bda32a70d42050ab97f42c1f517", "2c811b647a6aac924920c06e607e9e8d4b8d872d", "c98def5f9d0c6ae519fe0aeebe5378f65b14e496", "54483d8b537e51317a8e6c6caf4949d4440c9368", "51d6a8a61ea9588a795b20353c97efccec73f5db", "b43fc030b92e698ab317f45a12de106e0639c1cd", "03af8cf40283ff30f1da3637b024319d0c79bdf0", "e085b23cd0c72aa6a4432cfae05ca1e58bd29739", "e0939b4518a5ad649ba04194f74f3413c793f28e", "ad624331dc5f8dc3a72b1d5baf69634b2f345656", "7905662634bcec97648fb81d73de66c19a45b63f", "8e29884d4a0a1a53412e115e43f1b1cefe3bbc34", "2654ef92491cebeef0997fd4b599ac903e48d07a", "4d423acc78273b75134e2afd1777ba6d3a398973", "a243f1c24e759e3f22dc0c1b2762bf0a9a2bef13", "d74d1e63beca972b3c9114bc0a82cc815483a1ab", "24830e3979d4ed01b9fd0feebf4a8fd22e0c35fd", "f7be8956639e66e534ed6195d929aed4e0b90cad", "1850597b2db7d0f94f4b3d2be899beddce9bc12b", "f5603ceaebe3caf6a812edef9c4b38def78cbf34", "62415bbd69270e6577136ba7120f4a682251cdbb", "778bff335ae1b77fd7ec67404f71a1446624331b", "1b3b01513f99d13973e631c87ffa43904cd8a821", "dab6620775d4fbcfb17e2f7060fba84913a2bea2", "3ba85313a578e6a094f7e547c8356c7f4766001b", "044fdb693a8d96a61a9b2622dd1737ce8e5ff4fa", "ffec78f270dba4bdaf6bca7aedc16798bb9347ef", "ff7bc7a6d493e01ec8fa2b889bcaf6349101676e", "8a4893d825db22f398b81d6a82ad2560832cd890", "406caefc7f51e8a16833402e4757704d5d84a1f8", "719a5286611c2a89890f713af54f4a00d10967e6", "ac1e8abd3efc78dc76ea096d2e5b941d94857bed", "79aeda6dd4eb648d827b8c75664e01e3f02124be", "367f2668b215e32aff9d5122ce1f1207c20336c8", "2cdd9e445e7259117b995516025fcfc02fa7eebb", "480ab25eba799b59e0a1a51021c5126c88a58a0c", "23d5b2dccd48a17e743d3a5a4d596111a2f16c41", "621f174fd75c38a6376eacf0e4b92b18bc88aad2", "e9b731f00d16a10a31ceea446b2baa38719a31f1", "673a7fdf36bb2ab2beca5678bd29eebf6eba0582", "a285b6edd47f9b8966935878ad4539d270b406d1", "62694828c716af44c300f9ec0c3236e98770d7cf", "398558817e05e8de184cc4c247d4ea51ab9d4d58", "af62621816fbbe7582a7d237ebae1a4d68fcf97d", "4b20b27e2864b97c16e3e06e93cbf9302e109dcd", "7754b708d6258fb8279aa5667ce805e9f925dfd0", "c7e4c7be0d37013de07b6d829a3bf73e1b95ad4e", "969127a099a12bd5bb88809c75cafe0a62f6ca05", "cf875336d5a196ce0981e2e2ae9602580f3f6243", "942229e683ba17c6695857f16e6658d3fc4d1650", "0ca309d186d11eba00b2932b3f37589219090623", "f4c32b8bcf753033835c14a66e9c04b06bf086a3", "e4ad82afc563b783475ed45e9f2cd4c9e2a53e83", "150518824c747ff252ac134d57645879e660230f", "35b6a0d001de8d58d2bcf5dfe8922d59576a87e2", "2661f38aaa0ceb424c70a6258f7695c28b97238a", "1286641b8896ae737e140cfd3da2d081d4cd548e", "6b1b43d58faed7b457b1d4e8c16f5f7e7d819239", "f39d3ed10131f986be5fb8a10b77d44bc9feada8", "c5b5a00cbc3c030c462f8ba0c0b0854e335d5a1a", "3bf579baf0903ee4d4180a29739bf05cbe8f4a74", "b7b732df067a146b6254dfda404b124c1bff43b9", "1dff919e51c262c22630955972968f38ba385d8a", "b961e512242ddad7712855ab00b4d37723376e5d", "1966bddc083886a9b547e1817fe6abc352a00ec3", "0d2583d07283b21ea1034b8b52b8401b6148c59e", "907475a4febf3f1d4089a3e775ea018fbec895fe", "28fe6e785b32afdcd2c366c9240a661091b850cf", "8cedb92694845854f3ad0daf6c9adb6b81c293de", "98774edc7eabb163b9881b33f1c728c77a49011d", "05c974b9fde42f87e28458fb7febf7a05f2dfd18", "d6e3bd948aae43f7654ea1d9e89d88f20d8cf25f", "1b781faee797beff41ef67703dd80bd6da3c8b23", "0adef93017fc226f5c767a6eaebeaf4e2e40a754", "5f27ed82c52339124aa368507d66b71d96862cb7", "b3f78edb167a9d4749029a433f32d463aaf30a64", "364748253891070982668243f0e4a454023afa29", "70bb5c2570673eae86a3f9ced55c7ef00e0be8b5", "6ae13c7dcd1d10d2dfe58546a49da09b0b471d68", "9ac2960f646a46b701963230e6949abd9ac0a9b3", "14ebdf93fb1317ac6f7eb6ed7f243899295c1bc9", "d4dd4600e8f4ecfd11fa4a4a702b1f08bc9ec6f7", "a2d9c9ed29bbc2619d5e03320e48b45c15155195", "dcb50e1f439d1f9b14ae85866f4542e51b830a07", "77223849321d57a03e0571a08e71eba06e38834a", "45f3bf505f1ce9cc600c867b1fb2aa5edd5feed8", "7771b255115341d9339e243df0a48fc53ae38394", "ba17782ca5fc0d932317389c2adf94b5dbd3ebfe", "6dc82921719319deb1a193febb0388b2f32cecb0", "ad8540379884ec03327076b562b63bc47e64a2c7", "0369baf2366fca2f2afdf86efec4874dc8fad194", "0fed10ccccf270ba7ad78cc00f4745b2cda55ee4", "ecdf8e5393eead0b63c5bc4fbe426db5a70574eb", "d280bcbb387b1d548173917ae82cb6944e3ceca6", "7b4c4771030fb0c5a01bbe7b7d08b8fbcd2187a2", "d778c46657a974e6e87df82b7ee2ced8e5c6f151", "2e956e178fd50ab140f30f9255a83d853c8be210", "18cd7649d7413e1950795efa7a1b1388b31605de", "0a2cc533b718fdd95cca25c37a2bf18fcdf1fd42", "a08f09c5923dd2a114da1504379e57e8eb87ced6", "1149c6ac37ae2310fe6be1feb6e7e18336552d95", "930cbd5a6c63f0de7984a9b1db437a35ffacce3b", "94bb43cbd9c1243eb9b731dca2487bed46afbf96", "03fc466fdbc8a2efb6e3046fcc80e7cb7e86dc20", "5875a837a1c1c9ca09ff49cee3a9561bb656fe5e", "346670bbdcb667312264e8da395a37c5c797bd9b", "ba8a99d35aee2c4e5e8a40abfdd37813bfdd0906", "fc00d634797c5378ca9a441c2d4ce88761d3c7eb", "fcf393a90190e376b617cc02e4a473106684d066", "2e6712f789345c2dfc396f5309165f6786cf51ce", "081fb4e97d6bb357506d1b125153111b673cc128", "57f7d8c6ec690bd436e70d7761bc5f46e993be4c", "4b321065f6a45e55cb7f9d7b1055e8ac04713b41", "16703a3aaa7e540a3f6ff16a484bfd6226f83f06", "984f3b12e8c9ac590065ea7f44f8f6c902c7620b", "400e6c777d5894db2f6538c8ebd1124352b1c064", "ac98e7c570eb4a9db23f85164010f94afba1251e", "6ed957ec0dcf84e69fdefaf1027162fa884ada80", "57101b29680208cfedf041d13198299e2d396314", "35ba8534d32d630799554d15469d5107579a7abc", "a3f689fa5d71bdc7e19a959ac5d0f995e8e56493", "b1665e1ddf9253dcaebecb48ac09a7ab4095a83e", "855882a5943fc12fa9c0e8439c482e055b4b46f3", "7ca557fe3f70a933695e785ba86416ee68add051", "89c73b1e7c9b5e126a26ed5b7caccd7cd30ab199", "66317e1fc0ab4bf15c737f1612a075c3ce55b133", "cb160c5c2a0b34aba7b0f39f5dda6aca8135f880", "a6ffe238eaf8632b4a8a6f718c8917e7f3261546", "32925200665a1bbb4fc8131cd192cb34c2d7d9e3", "a702fc36f0644a958c08de169b763b9927c175eb", "2dd5f1d69e0e8a95a10f3f07f2c0c7fa172994b3", "26de4f8366b7eb5794bb5d649956d9badf41af2d", "b472f91390781611d4e197564b0016d9643a5518", "2a6f554a356521199112bae333537de62e13db73", "08fbbfe87563595508a77629e47613d6bd1119eb", "3c78b642289d6a15b0fb8a7010a1fb829beceee2", "32adde2e33f4344900829c557c8533f8f0979f10", "4fee2f524ef12741d2b0fa96f45a5ef9d20ada83", "08831ef69a36e6dac7f544aae19b2ba36abbcda3", "abfba1dc9a9991897acd0e0d3d4ef9d4aef4151c", "5d9f27c51bf10441639324f877e0c0031144289d", "a88ced67f4ed7940c76b666e1c9c0f08b59f9cf8", "28c9198d30447ffe9c96176805c1cd81615d98c8", "f08cb47cd91a83ea849f2dfe2682529f3bb95aa9", "18409c220a0f330c24f0e095653a787813c3c85a", "427d6fca32bbe3633f9ba58d1f8c3f2a303f02ac", "d3dea0cd65ab3da14cb7b3bd0ec59531d98508aa", "454283ee7ea757dd25780807e4017cf43b4fc593", "33403e9b4bbd913ae9adafc6751b52debbd45b0e", "11a6593e6e35f95ebeb5233897d1d8bcad6f9c87", "05a116cb6e220f96837e4418de4aa8e39839c996", "744db9bd550bf5e109d44c2edabffec28c867b91", "8c3f7bd8ae50337dd812b370ce4c4ea9375a9f58", "2f184c6e2c31d23ef083c881de36b9b9b6997ce9", "29e55071b0f35b424535cf96e337fdc53915885d", "4d8de4dad40faa835e8a01e3aa465e1bb3a996f4", "d1dd80d77655876fb45b9420fe72444c303b219e", "d19727942376c273b913a800ad09ffe672d7d6d0", "0f70f1a103e780ef80bc9610eb6cdd5fdcf7c005", "8d2701b03e53500525222dd0128658ce1bf8b35d", "4d9a02d080636e9666c4d1cc438b9893391ec6c7", "36fe39ed69a5c7ff9650fd5f4fe950b5880760b0", "52c71d20dced998a607c466241dfc2eb88183de8", "d912b8d88d63a2f0cb5d58164e7414bfa6b41dfa", "e90f75406d69cbdecc2237b4eab80dd590619e34", "3b350afd8b82487aa97097170c269a25daa0c82d", "322b7120bc46b4d6221d318961932a6cd81d4a08", "561eaebe69b5d2955b05557db01cda14b5f148cd", "f0d7c205b2726ff30d7139498aaab3ca205f0e64", "db3f52ffc7f09b415dd148cd1c6de9a811d1c5d4", "1042c225aee0c6625b8d49cec12083d7f1fc8253", "3aa9c8c65ce63eb41580ba27d47babb1100df8a3", "289c6413c9b1d37c0608ee0027d28466ef3a552f", "4ca1fcfd7650eeb0ac8d51cff31b70717cdddfdd", "abc30185578990ea134e4d66866e225bd7dd7632", "98218fa05a171a641435c154afa17bc99cf3375e", "4d90bab42806d082e3d8729067122a35bbc15e8d", "9436170c648c40b6f4cc3751fca3674aa82ffe9a", "acc548285f362e6b08c2b876b628efceceeb813e", "6e8d9202480e3c52ca5a207a9ab7841deb8d101c", "a7d23c699a5ae4ad9b8a5cbb8c38e5c3b5f5fb51", "126076774da192d4d3f4efcd1accc719ee5f9683", "a5c04f2ad6a1f7c50b6aa5b1b71c36af76af06be", "c0ee89dc2dad76147780f96294de9e421348c1f4", "9444355bae76a6a97014cde14e5beda3d432658c", "e860db656f39d738050b5f3e0bf72724e6a4ad5c", "f6eaf3e709ea0437b8abca2405783624f52580dc", "08c17e2191d0fb20fcefda35ea45825ac94740f8", "c030fdd6998bbe0c781b91e2fb0e3d4932b7aa04", "c2070f3e1249274fd73a0296e227c47d55925247", "a6ab23f67d85da26592055c0eac4c34f05c26519", "ed04e161c953d345bcf5b910991d7566f7c486f7", "3be38ac1690294f9fe828a32e5e6234aa293cb43", "d1775eb9d8898a9f66c28bb92b648c3174caec18", "3c4106f2c670362f620b33ad7715ab6fd3eb2458", "78f244dc2a171944836a89874b8f60e9fe80865d", "a2765ae25a20c267ceb75ffdf06df92d287cf795", "739490f3ac27193c289bbca4810e16795ea05df2", "5f2c210644c1e567435d78522258e0ae036deedb", "b1ed708d090dd155ffa9ac9699a876292f31aaff", "9a7fcd09afd8c3ae227e621795168c94ffbac71d", "9c4521dd25628b517dac3656410242b83b91e1e0", "39150acac6ce7fba56d54248f9c0badbfaeef0ea", "72a2b363d10a5e148fa0113b3bb810a8546d064e", "1513949773e3a47e11ab87d9a429864716aba42d", "8ff1f263d91f192269f6f3b324bdb1d30761ae41", "2c7185bcf31a4950b014b67ca7c63735ee00d56f", "7eb8476024413269bfb2abd54e88d3e131d0aa0e", "d0b7d3f9a59034d44e7cd1b434cfd27136a7c029", "d950a5293f68cab6602510261e858643fd7f1966", "82bef8481207de9970c4dc8b1d0e17dced706352", "6a6406906470be10f6d6d94a32741ba370a1db68", "94a0d7c4fa6d91497b73a6c7974f602712c50e39", "222a557e93d27c87f32e8fc475fc3370aaa4bcef", "2a75f34663a60ab1b04a0049ed1d14335129e908", "6d4236a7a693555f701c0d149d1db89325035e23", "fac0151ed0494caf10c7d778059f176ba374e29c", "dd0a334b767e0065c730873a95312a89ef7d1c03", "36b23007420b98f368d092bab196a8f3cbcf6f93", "217de75995dd38953eb9d85c8e5e21e5530a1127", "15cf1f17aeba62cd834116b770f173b0aa614bf4", "80a5afeb6968c7e736adc48bd4d5ec5b45b13f71", "3de5dc06f5d089dee111e048c7174a834f1363c1", "03b98b4a2c0b7cc7dae7724b5fe623a43eaf877b", "4572fd17feb5d098e8044fe085e963036fea2a6d", "be07f2950771d318a78d2b64de340394f7d6b717", "0b85b50b6ff03a7886c702ceabad9ab8c8748fdc", "067c63ce89671437930cca4e776ad03f3248b48e", "491cf4d86ed895000a35ba96f46261984c0bdf7c", "4d8ce7669d0346f63b20393ffaa438493e7adfec", "036c41d67b49e5b0a578a401eb31e5f46b3624e0", "9be8994e29f00559437a2e031fbc224c4ca943c1", "b723e431ae14e349a8ae8f0b709db35e4d7bd41d", "dbfe62c02b544b48354fac741d90eb4edf815db5", "fb5280b80edcf088f9dd1da769463d48e7b08390", "f9ccfe000092121a2016639732cdb368378256d5", "87781173db55039016fe8f5eca40b5c2739c6051", "df90850f1c153bfab691b985bfe536a5544e438b", "3e03d19b950edadc74ca047dec86227282eccf71", "c65e4ffa2c07a37b0bb7781ca4ec2ed7542f18e3", "e6865b000cf4d4e84c3fe895b7ddfc65a9c4aaec", "66aad5b42b7dda077a492e5b2c7837a2a808c2fa", "a0fc97dfed926b2839d66c9082f95be918c924ec", "7076bc6eeb8be3721acf46e299dfd9611698abe6", "33bbf01413910bca26ed287112d32fe88c1cc0df", "28ee6d316f646e7067eb8d2f364119a6218699df", "f9784db8ff805439f0a6b6e15aeaf892dba47ca0", "374c7a2898180723f3f3980cbcb31c8e8eb5d7af", "f0ffb44b41822c69baf880f7ad52ac1fb5f452b8", "c42a8969cd76e9f54d43f7f4dd8f9b08da566c5f", "59d45281707b85a33d6f50c6ac6b148eedd71a25", "d6fb606e538763282e3942a5fb45c696ba38aee6", "84b4eb66ad75a74f77299f1ecb6aa6305362e8cd", "e2d9ff9eb843e9b49ca50e6d55ccef6a74a03bbb", "4fbc0189252ed4fe8f9cffd3ea0ebbb0c621e3ef", "ddf55fc9cf57dabf4eccbf9daab52108df5b69aa", "15bec5377c7046eb376d1c37daabb84a296fea6f", "dbd37195ac03ec0d4e2d9fcc7b24751ab34fc5df", "81b2a541d6c42679e946a5281b4b9dc603bc171c", "5ea9063b44b56d9c1942b8484572790dff82731e", "d4353952a408e1eae8c27a45cc358976d38dde00", "90e89d2251ea2de123c29912b07bb89efb9dd677", "1b589016fbabe607a1fb7ce0c265442be9caf3a9", "33431901b04ba63fa2635df68afabd7f155c89c9", "0f46cb390b98487b492962d7a270990a9918e9ee", "f0a9d69028edd1a39147848ad1116ca308d7491e", "d157616ccd80bfb4cddee9b0319a22a1f3884106", "976c9f88c23e892c75c452b450407841e5161a32", "151481703aa8352dc78e2577f0601782b8c41b34", "8fc5861ccd2409dd58a97240c424c3248d5fd331", "a4e75766ef93b43608c463c233b8646439ce2415", "2d87f4bf0606ce9939033b8f1fbc64b539eb18a6", "679b7fa9e74b2aa7892eaea580def6ed4332a228", "9e8dd40aea9204ad670b312a46ba807bfc0c61ce", "2e7e1ee7e3ee1445939480efd615e8828b9838f8", "61a7aae4f90ce5214fe899647e58e803b70ba5eb", "0c1b52d2272e322e9de7e331ee28ccfcf5699a86", "842d82081f4b27ca2d4bc05c6c7e389378f0c7b8", "7212e033b37efa9c96ee51cb810c303249ab21e4", "f16e42cdb0cfc03a8e73a19ba27e7541cb66bd68", "0b3bbb0b4698338addfa336bc93b80089089618b", "cf86616b5a35d5ee777585196736dfafbb9853b5", "78216cd51e6e1cc014b83e27e7e78631ad44b899", "82cb184e908fd74be15f2aaae8d5a5fa6f3ce2a2", "ba2ca5d38a421278736c4a9962854176b51b2711", "6bc288ffd20ab625bf5411ed2b1153b686716e9c", "5a4881bfcb4ae49229f39320197c2d01b2fbf1f5", "10b06d05b8b3a2c925b951a6d1d5919f536ffed4", "50c0de2cccf7084a81debad5fdb34a9139496da0", "88bef50410cea3c749c61ed68808fcff84840c37", "05dedee0bcf1f0e73876537c7b1ee27ad769f695", "64b83983e256c7c094462887ce51114b80da92b9", "70c25293e33f5c37143ae20e3b0198a68083a5ed", "7fb1904d79991f8ee00f71c97c088cc1284e6829", "e4bc529ced68fae154e125c72af5381b1185f34e", "0d1d9a603b08649264f6e3b6d5a66bf1e1ac39d2", "2b7f0a45fd6386f4988ba1d41cb92777deab441b", "7f36dd9ead29649ed389306790faf3b390dc0aa2", "8656f48aa77f25462b3ad2edf2b1aa965b2b7b38", "e14b046a564604508ea8e3369e7e9f612e148511", "c068263bb09968fe69c053906279b16532b778f4", "d56fe69cbfd08525f20679ffc50707b738b88031", "021469757d626a39639e260492eea7d3e8563820", "60821d447e5b8a96dd9294a0514911e1141ff620", "2f882ceaaf110046e63123b495212d7d4e99f33d", "fc8b04762e4c0acace1599f0bf0e73f530f0db43", "8fc36452a49cb0fd43d986da56f84b375a05b4c1", "24b37016fee57057cf403fe2fc3dda78476a8262", "59690814e916d1c0e7aa9190678ba847cbd0046f", "8eb9aa6349db3dd1b724266fcd5fc39a83da022a", "d6db7ffeb8aef83926335eefa085f7151b2211ad", "0b9d3a0c61ee498f8ed54aaa22d3c4e72aa56f40", "f83dd9ff002a40228bbe3427419b272ab9d5c9e4", "4f9e00aaf2736b79e415f5e7c8dfebda3043a97d", "f790112a069eb20f0b8c7bbea13d760edf32c7b2", "9f4f890f74ac91bdc4323e061502331945474b90", "40232c43228bddaed394e7b1a05490c7811bf06e", "396a19e29853f31736ca171a3f40c506ef418a9f", "91285e53b5d82aa9ada3f3d30b550c48e257737a", "d59f18fcb07648381aa5232842eabba1db52383e", "88b8e02c4f6b9ccfd1e86fd6bb5e78ef036fb4bf", "d604af9dbaf6d8e5e94dc65bda076fdb609c692b", "a6035473e288015e8c67062fd6a27ae6c7f1e611", "748e72af01ba4ee742df65e9c030cacec88ce506", "fe9c460d5ca625402aa4d6dd308d15a40e1010fa", "102b968d836177f9c436141e382915a4f8549276", "d89a754d7c59e025d2bfcdb872d2d061e2e371ba", "f8ddb2cac276812c25021b5b79bf720e97063b1e", "177cc20dd3317d51ebd2a38d481717502283a328", "2ec7d6a04c8c72cc194d7eab7456f73dfa501c8c", "d23a437e77469b05db870d7fade54d62de2cf641", "16286fb0f14f6a7a1acc10fcd28b3ac43f12f3eb", "d7b4d741b1dd4fb3f278efa5fdf2a5d8523caa0e", "f68f20868a6c46c2150ca70f412dc4b53e6a03c2", "f6cf2108ec9d0f59124454d88045173aa328bd2e", "9937c27bf82b866451610e6082df3f4db8643325", "33e20449aa40488c6d4b430a48edf5c4b43afdab", "3167f415a861f19747ab5e749e78000179d685bc", "d1142624f0f020c4ff33f55a09b26b9f1bec46dd", "86ab9a7961ba82f5c55d73bfa9314eeae85f0938", "d27abdfbf85acbd0c1cff6c80879b014d701ea3d", "51410d6bd9a41eacb105f15dbdaee520e050d646", "8c605bb9f703c01c87bae7849594b4a8ad17bbcd", "abb196b8ad23157eafdac02c52bb7c480362aa69", "7588388b3f68c1a1a6b3b336d8387fee5c57c985", "69604286cd804ebe72b369e6133256711d3880f3", "93108f1548e8766621565bdb780455023349d2b2", "a70e36daf934092f40a338d61e0fe27be633f577", "de5bf6e703e07adffa5c075c42f4596311f3803d", "f2abeb1a8dd32afb9a78856db38e115046afeb34", "8cb3f421b55c78e56c8a1c1d96f23335ebd4a5bf", "cfa92e17809e8d20ebc73b4e531a1b106d02b38c", "f98c536ce32bccc290c0acc3159e4fc4db96805d", "1cbd3f96524ca2258fd2d5c504c7ea8da7fb1d16", "7ea7c073d13e80ec5015f41f1d57f0674502cc5e", "28a900a07c7cbce6b6297e4030be3229e094a950", "3c11a1f2bd4b9ce70f699fb6ad6398171a8ad3bd", "77b4fad7e1e16b8628289a1fe5c09c55bf83d85b", "5bfad0355cdb62b22970777d140ea388a7057d4c", "9bbcb6e7ec64525ea3352f867d7d0ec86a4b2859", "805a0f4b99f162ac4db0ef6e0456138c8d498c3a", "6f0caff7c6de636486ff4ae913953f2a6078a0ab", "2d3c17ced03e4b6c4b014490fe3d40c62d02e914", "179e566a2c1a2a48aa3d0028209c11ebe7d6740e", "920a92900fbff22fdaaef4b128ca3ca8e8d54c3e", "6af75a8572965207c2b227ad35d5c61a5bd69f45", "b013cce42dd769db754a57351d49b7410b8e82ad", "fc7f140fcedfe54dd63769268a36ff3f175662b5", "e75f449af85dc055229437768c9992bf5488cfaa", "b848777c36d6d8fa7067d36796937b33822c10eb", "383a041a97d5e0cc3058a017556ec0ca11ced1c1", "75d2ecbbcc934563dff6b39821605dc6f2d5ffcc", "924dad2fb143fd803faaa64f4bb1d6678ef0dee5", "b689d344502419f656d482bd186a5ee6b0140891", "629a973ca5f3c7d2f4a9befab97d0044dfd3167a", "539bbf8e4916481bd089d5641175085edf4cf049", "133f42368e63928dc860cce7618f30ee186d328c", "fa7395da8669f4096acdd35adfa7e2020d21945c", "be2728dba08786bae92708e1c4172850642cf62a", "7003d903d5e88351d649b90d378f3fc5f211282b", "07fb88c75e2a162475960378e7ab3ea274f1d9d4", "243846792841cd290bf438772c38f1609a297fc0", "97f665219a42faa8e625625257cc35f5dcbaf0ba", "b21702f00e25ef1e05fb5c36ace1eabfd7f86126", "7b9b3794f79f87ca8a048d86954e0a72a5f97758", "0d4740b19fb6148bc22b7c07a5c750debc242dd5", "5d9971c6a9d5c56463ea186850b16f8969a58e67", "3dabf7d853769cfc4986aec443cc8b6699136ed0", "b082c8b8bc7f8dd4b3f0dfb6576b31d53ea5520c", "97d0131943db64f53af042ba2e97d71edfb7244d", "8127b7654d6e5c46caaf2404270b74c6b0967e19", "9b43897c551b134852bda113355f340e605ad4e7", "ebc3d7f50231cdb18a8107433ae9adc7bd94b97a", "c4a2cd5ec81cdfd894c9a20d4ffb8cda637aab1f", "47d3b923730746bfaabaab29a35634c5f72c3f04", "0559fb9f5e8627fecc026c8ee6f7ad30e54ee929", "d647099e571f9af3a1762f895fd8c99760a3916e", "0323b618d3a4c24bdda4f42361e19a2a7d497da5", "149a5fdaaea603445cfd81ada8b5dd6232176c40", "8eb40d0a0a1339469a05711f532839e8ffd8126c", "09686fd5eb5ec6f47d5ec24276c78d23607ec01e", "492afe8f07de6225f70b72c922df83effd909334", "36ce0b68a01b4c96af6ad8c26e55e5a30446f360", "556b9aaf1bc15c928718bc46322d70c691111158", "adef4b0beae64fad7f0b48449ea84b80e38bdc33", "ee6f9a0f6eb5b615a36acc1444f4df1359cc2a63", "4acd683b5f91589002e6f50885df51f48bc985f4", "3e04feb0b6392f94554f6d18e24fadba1a28b65f", "be07c598875bfc14075ab07059fb496932607871", "7dcd3f58aa75f7ae96fdac9b1c2332a4f0b2dbd3", "fe451b5d82e10d0b7afb0ec92e6182a202240880", "b803cdb3377fa3b6194932607f51f2d1fafbf964", "d394bd9fbaad1f421df8a49347d4b3fca307db83", "bfe6b6cd802c07a4c7cdd2e8cc39b0b3886eebc6", "949699d0b865ef35b36f11564f9a4396f5c9cddb", "eb9312458f84a366e98bd0a2265747aaed40b1a6", "8b547b87fd95c8ff6a74f89a2b072b60ec0a3351", "5b01c4eef1e83f98751bb3ef1e4fca34abb8f530", "35c973dba6e1225196566200cfafa150dd231fa8", "0ac664519b2b8abfb8966dafe60d093037275573", "a79704c1ce7bf10c8753a8f51437ccbc61947d03", "2dced31a14401d465cd115902bf8f508d79de076", "773ac659f26cbca3fb7e821e4fb483ddeaaae49c", "9da63f089b8ee23120bfa8b4d9d9c8f605f421fc", "4b4175593b759891c34f6a808628a652856e4436", "49820ae612b3c0590a8a78a725f4f378cb605cd1", "75879ab7a77318bbe506cb9df309d99205862f6c", "8069c33c3bf7ec8531d66e530eb6bb003b7dc184", "2eb9f1dbea71bdc57821dedbb587ff04f3a25f07", "6a657995b02bc9dee130701138ea45183c18f4ae", "715b69575dadd7804b4f8ccb419a3ad8b7b7ca89", "68249064f7d5046abef785ada541244fa67b4346", "4c8581246ed4d90c942a23ed7c0e007221fa684d", "9a1a9dd3c471bba17e5ce80a53e52fcaaad4373e", "b44ca5bb74b27d196f281b6741c645f425ff65c1", "29cb1e90d1e08f0990925c8d4e8d00fa5fa49100", "8ef465ff12ee1d2be2a99d1c628117a4ce890a6b", "70d8bda4aafb0272ac4b93cd43e2448446b8e94d", "7d98dcd15e28bcc57c9c59b7401fa4a5fdaa632b", "d41c11ebcb06c82b7055e2964914b9af417abfb2", "9994c4fbf918950392e73e1695e6c3c15cda5887", "512b4c8f0f3fb23445c0c2dab768bcd848fa8392", "8812aef6bdac056b00525f0642702ecf8d57790b", "201802c83b4f161de764bb1480735e0b090b5c3b", "09a36682a6a4bba83eb84ddb8258e98f2917937f", "490a217a4e9a30563f3a4442a7d04f0ea34442c8", "235a347cb96ef22bf35b4cf37e2b4ee5cde9df77", "910524c0d0fe062bf806bb545627bf2c9a236a03", "738a985fba44f9f5acd516e07d0d9578f2ffaa4e", "c997744db532767ee757197491d8ac28d10f1c0f", "1d6d6399fd98472012edb211981d5eb8370a07b0", "25c19d8c85462b3b0926820ee5a92fc55b81c35a", "e0b71d3c7d551684bd334af5b3671df7053a529d", "c91103e6612fa7e664ccbc3ed1b0b5deac865b02", "1061140c5177193585900e3a8a271366c0e48a43", "205e4d6e0de81c7dd6c83b737ffdd4519f4f7ffa", "564035f1b8f06e9bb061255f40e3139fa57ea879", "10b94b4975e9aad1258419bf4a09a58ef217f85e", "dcea75410fefbe70a4736fabbf178a951b6743ed", "0b0e679e6d3abe3adc8525d4fee49b388ccfdf9a", "78f57e5e23ca40af858e6e97ebecb694036bd8a8", "29756b6b16d7b06ea211f21cdaeacad94533e8b4", "0f53ab8b6c428127753281dd77cf94bdb889b624", "9f428db0d3cf26b9b929dd333a0445bcc7514cdf", "78f79c83b50ff94d3e922bed392737b47f93aa06", "553a605243b77a76c1ed4c1ad4f9a43ff45e391b", "afdc303b3325fbc1baa9f18a66bcad59d5aa675b", "d85813b58e10a35703df3a8acf41aafe4b6e1dd2", "75fcbb01bc7e53e9de89cb1857a527f97ea532ce", "5550a6df1b118a80c00a2459bae216a7e8e3966c", "b28edf561cdad666eac3d6e6ff9ae5eefc6928b0", "c8fb8872203ee694d95da47a1f9929ac27186d87", "b63b6ed78b39166d87d4c56f8890873aa65976a2", "43f6953804964037ff91a4f45d5b5d2f8edfe4d5", "c514655da8def243a0e5c0ebffd30f58d50f31a7", "033b88f1274adddb9ded4cd23f79d447881c22e6", "d428aa4c1c84da422f8c99eb0147a49439d16f0d", "237a8db67c7cbf7a33a5d6b442ac89f2608e4346", "941166547968081463398c9eb041f00eb04304f7", "a295c426992b6eaf922e4112cdaca0cbad1b6380", "aa8341cb5d8f0b95f619d9949131ed5c896d6470", "d5afd7b76f1391321a1340a19ba63eec9e0f9833", "531fd9be964d18ba7970bd1ca6c3b9dc91b8d2ab", "23860d947cf221b6ddb6d6cf3a7ac4b08c7cb8d3", "6960bfc668aad1b537fbf3f1b48328e7d440b80b", "8a72d4eac105b0839de3c6392aafe4adf2a433d0", "9d1cebed7672210f9c411c5ba422a931980da833", "3f6033a72602c3b7495a0e4d5596d1a61e469a84", "f3cf10c84c4665a0b28734f5233d423a65ef1f23", "5ddfd3d372f7679518db8fd763d5f8bc5899ed67", "2d30ca615697462480d9c9f03c6bf50a6c5163be", "6506f9a8a2e73eeaea185273df909feccb68f944", "5e53f530871b5167be0f224993be8a38e85796e8", "cefd9936e91885ba7af9364d50470f6cb54315a4", "ca90a57f9c28804901233679bc076ce327da92b5", "0f395a49ff6cbc7e796656040dbf446a40e300aa", "6eb1e006b7758b636a569ca9e15aafd038d2c1b1", "389334e9a0d84bc54bcd5b94b4ce4c5d9d6a2f26", "8f3e120b030e6c1d035cb7bd9c22f6cc75782025", "841c226a543d810561ca2d3193c44dadc154f45b", "002d2db05595872caf1fce4c3c2f4e168e6d8e61", "f9c86f8b0d312ceec871c8a3b6bc79bbe76c1069", "3c113a1e8b61431c4a73f72462329eddf9449a48", "a6ebe013b639f0f79def4c219f585b8a012be04f", "ce30ddb5ceaddc0e7d308880a45c135287573d0e", "95b9df34bcf4ae04beea55c11cf0cc4095aa38dc", "d074b33afd95074d90360095b6ecd8bc4e5bb6a2", "9b164cef4b4ad93e89f7c1aada81ae7af802f3a4", "7b4e0a98dcb4ba34afcc5901f51384ba727473a0", "f702f1294c0cd74b31db39c698281744d3137eb4", "afd88f046750eaa9a338edaadb644862a89179de", "98d1b5515b079492c8e7f0f9688df7d42d96da8e", "31e13e569730e9c2faa2eb775144d6c4c82db6f2", "247a6b0e97b9447850780fe8dbc4f94252251133", "c83d142a47babe84e8c4addafa9e2bb9e9b757a5", "c5be0feacec2860982fbbb4404cf98c654142489", "2b1129efcbafa61da1d660de3b5c84b646540311", "8f92cccacf2c84f5d69db3597a7c2670d93be781", "193ec7bb21321fcf43bbe42233aed06dbdecbc5c", "19fb5e5207b4a964e5ab50d421e2549ce472baa8", "946b4d840b026d91608758d04f2763e9b981234e", "8c325003be986e426c76516f4d634bf2568442f2", "4ae59d2a28abd76e6d9fb53c9e7ece833dce7733", "01c8d7a3460422412fba04e7ee14c4f6cdff9ad7", "f0681fc08f4d7198dcde803d69ca62f09f3db6c5", "baa0fe4d0ac0c7b664d4c4dd00b318b6d4e09143", "aaeb8b634bb96a372b972f63ec1dc4db62e7b62a", "ebe16b3a0450f639ed0c3aa9b786169eb81445ff", "00c05adcd5157edba775782464402c2bfb998c82", "5db4fe0ce9e9227042144758cf6c4c2de2042435", "1dbbec4ad8429788e16e9f3a79a80549a0d7ac7b", "ca291471eb86ceccbfbda9aeb92eba8b48cb6c0f", "7ac95977b80f78c983a09bbfd7267f9655580159", "5da3bb198b087c15509f933215b141de9e8f43ed", "4fd847d662d0bf015a770e8c419c1058dd1eb524", "045275adac94cced8a898a815293700401e9955f", "39dc2ce4cce737e78010642048b6ed1b71e8ac2f", "6bb0425baac448297fbd29a00e9c9b9926ce8870", "7636f94ddce79f3dea375c56fbdaaa0f4d9854aa", "14d7bce17265738f10f48987bb7bffb3eafc676e", "8fc94e970a261ab3e599ed34a337cf4bd21ee806", "6f0d3610c4ee7b67e9d435d48bc98167761251e8", "449b1b91029e84dab14b80852e35387a9275870e", "1b9976fea3c1cf13f0a102a884f027d9d80a14b3", "6688b2b1c1162bc00047075005ec5c7fca7219fd", "90c7f6ae4f1744050c24f1b662c92ee2b4347b18", "74dbe6e0486e417a108923295c80551b6d759dbe", "6a806978ca5cd593d0ccd8b3711b6ef2a163d810", "228ea968b08b439cadcf5643ee4728af974e4f01", "d78373de773c2271a10b89466fe1858c3cab677f", "07412121674e8b393b7e2c9b4920ee4b12906c70", "d567f2bbc6ce6d6acf0114e6514f31eff4da68f6", "d26fdcc354a8a9bfa3d5be702b2d50b5c0531d0e", "4d0bcc55c46773e24330b68c2fd4eeec5491ed13", "cacd51221c592012bf2d9e4894178c1c1fa307ca", "f858c5d0052d19fe780affccb1f38b1e826ed091", "1e2770ce52d581d9a39642b40bfa827e3abf7ea2", "88850b73449973a34fefe491f8836293fc208580", "1facefc5257116825d39588c9a89c4f19bb4e50f", "097104fc731a15fad07479f4f2c4be2e071054a2", "72a5e181ee8f71b0b153369963ff9bfec1c6b5b0", "6409b8879c7e61acf3ca17bcc62f49edca627d4c", "dd600e7d6e4443ebe87ab864d62e2f4316431293", "c52a8645c3dd08eeab89c4578db4dccc4a9e1ec5", "3674f3597bbca3ce05e4423611d871d09882043b", "dce3dff9216d63c4a77a2fcb0ec1adf6d2489394", "86cfd552d4928544773e249785486c576ef6d493", "47e3029a3d4cf0a9b0e96252c3dc1f646e750b14", "38215c283ce4bf2c8edd597ab21410f99dc9b094", "49358915ae259271238c7690694e6a887b16f7ed", "a2b54f4d73bdb80854aa78f0c5aca3d8b56b571d", "bf22861eed144603be302dfebde43cbc39012132", "5d185d82832acd430981ffed3de055db34e3c653", "2912c3ea67678a1052d7d5cbe734a6ad90fc360e", "62f3525cca0a08ef4727b60a366104baadc4db26", "08f4832507259ded9700de81f5fd462caf0d5be8", "4026dc62475d2ff2876557fc2b0445be898cd380", "25f7f03acf62b2cf3672bb506c8827d00b048608", "8efd1cfd0e93970b9e7920f754d319e98a54955a", "bb22104d2128e323051fb58a6fe1b3d24a9e9a46", "95f52d5c2b571e585e0c75bce0111a3f68e5f3fd", "a3f4845ee80ac5553ab7cf6c8550be6433364dc2", "41c56c69b20b3f0b6c8a625009fc0a4d317e047a", "b69bcb5f73999ea12ff4ac1ac853b72cd5096b2d", "73b90573d272887a6d835ace89bfaf717747c59b", "cbe859d151466315a050a6925d54a8d3dbad591f", "326613b5528b7806d6a06f43211800b54f34965e", "6be461dd5869d00fc09975a8f8e31eb5f86be402", "f405e3d09bec57b74147fde20dc2d252bd9e91d3", "3af1a375c7c1decbcf5c3a29774e165cafce390c", "bccb35704cdd3f2765b1a3f0296d1bff3be019c1", "a949b8700ca6ba96ee40f75dfee1410c5bbdb3db", "82e1692467969940a6d6ac40eae606b8b4981f7e", "177007b368196133e374d52d44a24544bf066f23", "993934822a42e70dd35fb366693d847164ca15ff", "e73b1137099368dd7909d203b80c3d5164885e44", "9467048bd79722b4367fb91585694dee157d8af6", "65d7f95fcbabcc3cdafc0ad38e81d1f473bb6220", "59efb1ac77c59abc8613830787d767100387c680", "57bf9888f0dfcc41c5ed5d4b1c2787afab72145a", "41b997f6cec7a6a773cd09f174cb6d2f036b36cd", "0b173146a29d74f031ea5ad0d0f3a9efb2daedf3", "a1682c1eb2f317336798c4a1282c55eb2b8a8ff7", "4353d0dcaf450743e9eddd2aeedee4d01a1be78b", "086131159999d79adf6b31c1e604b18809e70ba8", "399a2c23bd2592ebe20aa35a8ea37d07c14199da", "c0c0b8558b17aa20debc4611275a4c69edd1e2a7", "88c577859d59b818cfafbd1b9ed64683cca95981", "34d484b47af705e303fc6987413dc0180f5f04a9", "0daf696253a1b42d2c9d23f1008b32c65a9e4c1e", "a9727ad37ddd44355b049084cb2a049367208c1d", "680d5038da3b7528fb14032915324ab4a665337c", "071099a4c3eed464388c8d1bff7b0538c7322422", "239193cb0c2d8a49179708f0bb4546a2ab662383", "0be015e2f9a1d2acebc3afb6e0f6948dd2f9d23d", "1a8d40bcfb087591cc221086440d9891749d47b8", "8c9c8111e18f8798a612e7386e88536dfe26455e", "d11678f5e923165d55c6434a445ab39dfbe65f5e", "39f7878f447df7703f2c4ddeeffd7eb0e21f6cd4", "66ebb070ea8de63afa11cc856fe2754ea39a93ff", "40dab43abef32deaf875c2652133ea1e2c089223", "8d2c43759e221f39ab1b4bf70d6891ffd19fb8da", "176a507ebbfdc0fad141da14d30d89caa35bfaf9", "4bd088ba3f42aa1e43ae33b1988264465a643a1f", "2e1b1969ded4d63b69a5ec854350c0f74dc4de36", "19e7bdf8310f9038e1a9cf412b8dd2c77ff64c54", "898a66979c7e8b53a10fd58ac51fbfdb6e6e6e7c", "86b985b285c0982046650e8d9cf09565a939e4f9", "55525874e4971ef6738295ea49382fca66fdf28f", "aad6fc5bd7631d2e68b7a5a01ac5d578899c43e5", "d785fcf71cb22f9c33473cba35f075c1f0f06ffc", "1f28535a5866ce625f72fab83ca3304097f9417e", "dbb0a527612c828d43bcb9a9c41f1bf7110b1dc8", "9af1cf562377b307580ca214ecd2c556e20df000", "121396baef9d8137f32530dedba653708d5c8a9d", "abce06a96a7c3095bfc36eed8779d89263769b85", "45dbf1b6fbc7fdae09e2a1928b18fbfff331a979", "6ab9c6111b07378f8c839888c6e331f00c3f35c9", "44d2ab6b7166274cc13b52d8f73a36839ca0d4a8", "5ea9cba00f74d2e113a10c484ebe4b5780493964", "0ba0f000baf877bc00a9e144b88fa6d373db2708", "06ca215c5086ac9fe5f48ce0fbde3e5c42336c9a", "b0ac518e5d0a3e524f30439fa87b35c36554c3ad", "4b3dd18882ff2738aa867b60febd2b35ab34dffc", "126214ef0dcef2b456cb413905fa13160c73ec8e", "0b87d91fbda61cdea79a4b4dcdcb6d579f063884", "f2d15482e7055dd5f54cf4a8a8f60d8e75af7edf", "93b7ee9842114bc15202ff97941892aa848c0716", "951368a1a8b3c5cd286726050b8bdf75a80f7c37", "3a9fbd05aaab081189a8eea6f23ed730fa6db03c", "f2a9a4c2f50b993d488548cc63739465a89a7a58", "07d986b1005593eda1aeb3b1d24078db864f8f6a", "ba69d464bc360f94303ffc9f710009d16a5673a0", "35490b021dcdec12882870a31dce9a687205ab5c", "133da0d8c7719a219537f4a11c915bf74c320da7", "93115b81d1efc1f6d2788972bdb89908764890b6", "48f0055295be7b175a06df5bc6fa5c6b69725785", "3da8bbb525e9a6212dba8f099b2d3f9dd31d2e7f", "b6685941588febbf66f9bf6a074cd548bc8a567f", "a57e8a2c72025e4aa2aefcdca617b8568ab10432", "6ec275755f8776b620d0a4550be0e65caf2bc87a", "ded8252fc6df715753e75ba7b7fee518361266ef", "43010792bf5cdb536a95fba16b8841c534ded316", "0278acdc8632f463232e961563e177aa8c6d6833", "b14e3fe0d320c0d7c09154840250d70bc88bb6c0", "57f877ffe7460348793ddb2fe3fdfe567ca91e02", "68333b73613c59914bfe1264a440b3cf854dc15c", "22143664860c6356d3de3556ddebe3652f9c912a", "9ac82909d76b4c902e5dde5838130de6ce838c16", "1821510693f5bed360c81706c97330d2fa7d1290", "5af06815baa4b8f53adc9dc22f6eb3f6f1ad8ff8", "6f16f4bd01aeefdd03d6783beacb7de118f5af8a", "7767059c935fb773d5e6f559b9eca6e72caa456d", "ac03849956ac470c41585d2ee34d8bb58bb3c764", "d1082eff91e8009bf2ce933ac87649c686205195", "ae71f69f1db840e0aa17f8c814316f0bd0f6fbbf", "721119b5f15ccccfd711571fb5a676d622d231bf", "b431d1971a4e0aca9afb5a24d0ddfacd88dea2c9", "1a21aafe1824e00f12aaccfbaf5d5130a86640de", "0c435e7f49f3e1534af0829b7461deb891cf540a", "17fad2cc826d2223e882c9fda0715fcd5475acf3", "cc0369d979e1721b7e21913c9eb336b3f0f6d834", "208a2c50edb5271a050fa9f29d3870f891daa4dc", "486f5e85944404a1b57333443070b0b8c588c262", "b1d047814837c88d1755740a49389edcfb0c64f7", "9fdfe1695adac2380f99d3d5cb6879f0ac7f2bfd", "72d9bee3a71b005677dfe1c0a416bbda6eb5fa95", "5df376748fe5ccd87a724ef31d4fdb579dab693f", "491872cdba42f66b7e117e283eeb98e1fcdd0dce", "6fda12c43b53c679629473806c2510d84358478f", "59be98f54bb4ed7a2984dc6a3c84b52d1caf44eb", "bf03f0fe8f3ba5b118bdcbb935bacb62989ecb11", "64153df77fe137b7c6f820a58f0bdb4b3b1a879b", "6aa2744801798f060fcd66901d55df2b3934a22d", "76dc11b2f141314343d1601635f721fdeef86fdb", "606dff86a34c67c79d93f1e536487847a5bb7002", "d855791bc23b4aa8e751d6a4e2ae7f5566a991e8", "75407eb34921386f5071871e830032891727ca09", "c2e6daebb95c9dfc741af67464c98f1039127627", "a8affc2819f7a722a41bb913dea9149ee0e23a1f", "f397b8c835425e4b18cc7d9088b7f810c6cf2563", "310fe4e6cb6d090f7817de4c1034e35567b56e34", "eefecac463ebfc0694b9831e842b574f3954fed6", "0f2a910f98e9955d2fbd4841d31b4943b91ab382", "814d091c973ff6033a83d4e44ab3b6a88cc1cb66", "ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18", "dec5b11b01f35f72adb41d2be26b9b95870c5c00", "2cf92ee60f719098acc3aae3981cedc47fa726b3", "6f5151c7446552fd6a611bf6263f14e729805ec7", "e8c9dcbf56714db53063b9c367e3e44300141ff6", "8e4a4bced508d94805619c22cda7bc54cdc25e6d", "d6925270c730ea886e95e32bd61c84d32b2f7da1", "6b3f2b1c80cbeb62d0abcf7d452b5e9293208555", "f913bb65b62b0a6391ffa8f59b1d5527b7eba948", "d4ccc4f18a824af08649657660e60b67c6868d9c", "b6c53891dff24caa1f2e690552a1a5921554f994", "cc1b093cfb97475faabab414878fa7e4a2d97cd7", "292e1c88d43a77dbe5c610f4f611cfdb6d3212b6", "67250ea195589d9dad29bcbb17219d7447a23597", "1cd3250280a0703ba57bbc357287a7213f901b7e", "b578f4915a4496d14ba7684b128ffea24c98c314", "5e821cb036010bef259046a96fe26e681f20266e", "ea79a2ad4ac307cb8c586b52bf06d7bf783003a8", "25f1f195c0efd84c221b62d1256a8625cb4b450c", "90c4deaa538da42b9b044d7b68c3692cced66036", "3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f", "1a47e9f0d44c6298d0e7be3373002f435791fa2a", "ae4390873485c9432899977499c3bf17886fa149", "9df37566a6f88e31035c124a90bcb31815e4aa74", "2bf08d4cb8d1201a9866ee7c4852bfcbf8f8e7f1", "d36a1e4637618304c2093f72702dcdcc4dcd41d1", "51cc78bc719d7ff2956b645e2fb61bab59843d2b", "42afe6d016e52c99e2c0d876052ade9c192d91e7", "762aaf54d42ad6bbd97956417a56fd0ddb269c11", "d0e895a272d684a91c1b1b1af29747f92919d823", "c3b4705545ca039a34cacfaaaf07cc7a57932a88", "7b8e2b1f759424a0e909095c7aae3727377ffbb4", "f8f872044be2918de442ba26a30336d80d200c42", "23e75f5ce7e73714b63f036d6247fa0172d97cb6", "86dc92a74dd22c075357c00e089b5d6fb24fb857", "0d6d9c4b5dd282b8f29cd3c200df02a00141f0a9", "70d0bffa288e317bc62376f4f577c5bd7712e521", "9ef06cc958af2274afd193a1dca705c08234bcd3", "176bd61cc843d0ed6aa5af83c22e3feb13b89fe1", "eb7b387a3a006609b89ca5ed0e6b3a1d5ecb5e5a", "8d5998cd984e7cce307da7d46f155f9db99c6590", "ab1f98b59fa98216f052ae19adce6fd94ebb800d", "ed74afbd3e36f0fdf54da1e4fcb773c21b5de9b9", "cff0e53006c6145d96322e6401e840f405b6ed02", "522ef585f181ecf7ce926fa159edf44fbef55ade", "a6adefcb723a3e52f24987115cc3ae7f6d08283c", "69a4db0468263635ec810c49eb42f1edca728e84", "2c8ebba5d4b2b679aa5713c2d2e2e0d5cabb585f", "6dce5866ebc46355a35b8667c1e04a4790c2289b", "2aa0a7d65fb66435308e09ea2bc7fb09b2d484fc", "c08c377a1a6ddf8c45240e34ea6358955311c533", "f8ec2079838520fcb9394574bdd956ac9d3d5832", "ce142b327974580b297fb84c2c1c799f838bdda5", "2af2aa21538783e46911fb857a23dbb88ed90c2b", "046b30b3c3cf64449e9634273e9ac50ae931a0ae", "c50318651f70913c2e7924d6c9d8a7b326c07ad8", "0a02184707247a79a236a03f85ab35d99a68be33", "538a9230ddc14b8a5d3f5f195aac4ec43e37d16f", "ac5a1b5a90dfeb4d22c37d806385cb9046e5edcb", "3a385c330c436fc4c5ba288e219819e3cd28896a", "4f93cd09785c6e77bf4bc5a788e079df524c8d21", "063146e2b400cad120d41371a024de319eb67c05", "5ccb73fa509b4c56c765cf5ef850060ca8686bfa", "d6daaec16ac90de8f99640f687ad7e9e92a46840", "2b86919eb8073d9b0e137b23cc9a14fab8bc601b", "d6b0a1f6dfb995436b45045b56e966d8e57b0990", "6862945b8abc805eec2dcff0eb2445f7c8ea9a80", "81f52fef843df38fb22fdbdf26da18f9123712b3", "ea672c7b77228ca570aab7888b96de7952b2b21b", "a534f41608ee0157ff002a0d5e5d39deb0d34797", "6193ddcb2500e696ad572e6b483eab65c66f8c44", "bcf73131c2be397fa2105ac45df3ce1a55c07c2f", "64a39028f5d70ff2f7c3861847adb1f995319c2f", "2b4bed0fadee29a84a272d7c52adc4a70e1a2b52", "16fda65f258ca22d856bb0252891deecc59efc3d", "46e866f58419ff4259c65e8256c1d4f14927b2c6", "da833d8ec9c91d55256effccd370b2e62a896ccb", "b3adc7617dff08d7427142837a326b95d2e83969", "9e8f9786ea868f042f7d984cddbd9a6dc23969ee", "b3655bcc6f491ae995c652c7f51e1b9b3a36d39c", "80688e72b00013eabe57ce88be0c204d0b5aea2c", "551a11f9db279cb1485b1598adb8552d345c265e", "bc21bf4c733e117d2d969fd5605bba4251467243", "0cd7ff53729dafe9175009d7f04570dbbf41a608", "0ea53c86d24b1b80389eefaf0a84fb9b2108b795", "dbe64cf1c505ca5ccd0f8ad914bc0eca97e44e8b", "c55b0bcd8081999f265468f87f281959bfc786f7", "5a62f0b5d5afaec50318a6d9063920a6aca6e3f2", "286e4e6b0360c06f659d351ac885aafb62a6b73d", "99ad5ac59f2139c021115b2e63c81fef19f01080", "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "c3a101f8fb6dd2fddfee94774ea3dbc8df8f45de", "b6862bb11e7e72f7c2e71de9d8e5aa731f8a0df7", "f8f373d50d1d38e182a8c1b96c821eccac39f07b", "0268d1744377ffbff48b014f513ea3e5e4a4dab1", "6fe2efbcb860767f6bb271edbb48640adbd806c3", "c398684270543e97e3194674d9cce20acaef3db3", "471785884e523566ed38118b23a30ae5b446cf47", "5c1a418120208c27dc724bc24853ecfcabb22e84", "76cb86ab21796d81790b1c98c10e4090ea187c7a", "5122a5d4bdf58b4f413d4de1fb250d4ab5e0608a", "5d5af53310c56d7e7678b92b69b88ca8fd95dd1f", "8b653159e55dbac7130403cafcc9d3e86eb47ab9", "7ab233422c7505ad58e052acc74ce5c557a220b8", "58eeae4de083747a2c018b6ffef4fdaf7aad3c7a", "0183eff3a60f44bc6e4bcade37518f6470af3437", "b28e142376a2dd639f58935f2f63a9dc7651131e", "aca273a9350b10b6e2ef84f0e3a327255207d0f5", "191eb9c416a991819fce7822b72407f265f19608", "c5637543e80f97c9ddab8b54a635cf71941e2786", "5e0832848fab012b7e59580264257e0a3d05c596", "310a88a60ffa2d8a0fa7ef9fc77fa842d16eed57", "2abd13f249d6483f1a433a4deb8c088d40c24586", "a71d0bf3b8fa6cf0069fe12f3fe6d695fac7dd44", "9d1858a2ac2a963384dd6809dbdb2b4bdeffe040", "f563ef1a0fd024edb91a889b17b64aca84624be6", "1e9461b2e48e11638b85c2f2dc7bca043f9d60a8", "32f37cbc7806c37e8b618d935800bdcd6e7108cc", "a75095fcfa78972dd222810fb3e39d77ff6493aa", "77f064553b780471a2812ed2cb667d7332433bdb", "e135f8118145b6a2e2a6a2088c04c26ca6d38642", "ed7d4400d5e07efb7b7cc3624dbe5963b77fda33", "a1a49e2c1a424ef2dc6a5cf787d5eadf8421aaa1", "c01d65f262814e15daee73538a0a20d2a88e05e7", "8985f8d9aa656ad5b85d0d06ebe027f8c4ddf46b", "c4b3a1cf8842da8c64f7abf4a352583d5fd9762c", "71392858b6af5b50b1cd7c740560697101f60e46", "884e63b5371883a1502f5c39a08e5100c89a5427", "7920936d6468b027cf52793f6ac6a05b550d87d7", "284e96db3ab52fa2e2d16cd611ec6d2639de5d6e", "299d260138692a0affe8ec0b8cc0ef4a6474e6a2", "1d58593a61f887e2ea367a5f59dade2493ae0b44", "6757254d27b761ada5dbd88642bd0112fcb962cf", "7cb85b17a35511b99bbb3975a333c714c1aad4b9", "f7a2424eb5af9613544a945772addcf2e19b5f92", "b03abe450365433450120b3eba460ee4e2cfc763", "35058a8166a8fa4479167ba33b3010cc8c839f44", "a88ca6e81e04b737ee6a416263d305db06de72c6", "83a2385034b98af16f4a1a6cad2c7a481ec0a9cb", "0edd3517579a110da989405309e4235e47dd8937", "1b1d31dcd365c48ca39b4eadcdabf1c70104e490", "ff70cfaf3e085a6c32bfa7ebedb98adfb7658210", "4dc056cfe5d06cb9e4cbf60ef5044f956ab92b91", "6aeee62bd32ebc3c5349689f9e4283afe8d162b4", "2b10b0f309546878ec418ae6e6f0a993fd7f3293", "5257c447f9c50ee8bb2011fb72f8bd40bc0291d8", "c3980cbaf613cad1fbd0ab6da472c789cda583a9", "92891d260e46adeff84ec5ea0817c0b6a70c253d", "9006647d190af09e773bfd7ca9d5632f30ac0d72", "c2d102743e265d1b7c6073b087d030425786deb9", "fb19c7cec103193ea4f4265a2d9534a20893b2a8", "03a83517298203605b502648ded886fee5a7436e", "c2ff1af8ae5768aaaf52cd4809bde3cfe9bef962", "8fb611aca3bd8a3a0527ac0f38561a5a9a5b8483", "989ca38616b52f23c2720ba5c6df2493dc025d0a", "5fbad7c39509a3edb4f8a946e2676562e88264bc", "b66418ecc37ea0c79da5425e9ceac939ca9075ae", "f08e3f5fa4dc2a07e7024911fce7d01d87962752", "132f4a27b3d20e3783d854343b06d7fa3a6fd142", "ec7951e69c7f31dde16072d369491250378f875b", "1d4d249897a0b50d1e3b9ac4adea7ed5c4e26976", "c51fb195bd9fe3b7d001179a3a39bb8252304f1b", "5dd2f26a303272b2e1bfb7b6d994eed9e67d30c9", "e75601d37c2368ced9f5fc579608db7bceeae46a", "d399a5dc23866e4590d7a76174154a582b93a18d", "63f38f60022ab78aa5e47bd84070547409ab3cc8", "ebecc2516c998ec6acd1ecc5484702c4ce4c980f", "c391478faa3a8903678a7bbc4ab17c8f9601e273", "25b1a031a0559a0bc4079e9011bdf527e1a39d19", "319aeaba5dfb4f7de44668bbedbbfdcb7ebc50fa", "22344ddcae83e732ba0c2116d7ee9016aebb12be", "4b8762d7637868b6ba0c97c95b2d4949d103ecdc", "15b1a65988290432e79a5527e2bd6d3ae45c1b98", "bce887343456e4344b8174b99cea641a97a7bfa6", "3fd970da1fd9ebcf1b97f4d16f5274b25666471b", "389363432ee9fcf0e0cfe67b7b4f62618e1f4b59", "a4b9161ef85519206b7b2b9b0e1598b2beb4e584", "960870523484a7f66cf8afbe833afd7d343b68f5", "4263630a35c5ee34ccf9dbd81c0541d92d0c7d5b", "85c7aab0f58f17816064699865cd0836bfbf2e82", "f3c4e3c50f1213cf74f30b1dae9717cfdf465a36", "fbd781143a3f4c9d03c227cfbd1f528d658195ce", "678f2f9b3597cb0304f5c0c937fa2f5b25daa6aa", "43f37a725dd58015bdca53937518042d81ca1078", "d4712c75a1a51ecbc74e362747926a16a2cd36ed", "d335c623f30a290f3291554ec500a8ded69d03db", "0549dc0290fe988ede74c4e030ae485c13eaa54a", "837635f647c42d03812a7f4ab5f87c5a49372a0b", "4914ba227a02f1e2aa95cf49b6afd2a8427d5546", "72fd97a0f595fc108d9cddf1949928143cbcf22e", "d1d9e6027288cdd64509ea62f88a3cbd9320c180", "d458c49a5e34263c95b3393386b5d76ba770e497", "7634fd094c435e2084abe3f5553bd814c9d0ec40", "3c0cf28fba65ef287ac889aac138768fc384f80f", "420fd3f64781cc21e188f8325a8df8911c286b8c", "72e14386d0ef1aa09c52e07086fc310c440db16f", "c048513689fbba0a12a1ab9cb08ab3a533918519", "6b359aefefe6b6c511c41afb873820462f5f42cc", "4f8b8a1f454eef624f1aed78bc4b60ee39b7b0ae", "6f9824c5cb5ac08760b08e374031cbdabc953bae", "aeec61ef41d55b5c1becfdc00c2e4dbca0e379c0", "e953eff0c214438f7f32f3b17994ef7d4ecc1e4f", "e7cf3e01b9d74531cbf9f7158e099829e233e261", "85c2de95080c1e8d955ac57f64a6b51ac186af32", "81c7d56f1a77097c8fa14b76cb359d7f436741a0", "7fbf1885f27fb72d5e553c4a2147375f928465ee", "cfec3fb4352ebb004b0aaf8b0a3b9869f23e7765", "a0da08f42b1ce4205456663c4b5fa1d9f1b2b873", "dc396e33d350970aa27e072338ca8e95c20d815a", "3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8", "3a71881855d75cb68d0f0cb17be234ef1864011e", "cab86dcc9cbfa064991401efe798f2853a70e6ea", "b454d1385696f4629206e5c8bd190bc707ae75b7", "6c015bdf0e2e2f090190876eaee247ec610323ec", "73528766101a4577a48a8c03119c26fbb8228748", "9063a486b2e216ef5abfbb8c7503accd2becc5ea", "d1496833b9a14d87c1bafd0d5031cc1629ca2b87", "0bd192078234ebc1266c3f3e80560e843ba2f3ab", "4d45612c41d3e27a30a5ec64e0d8e2362dcb6b73", "54c8d17705bb470690a67353e2d492aa828872ed", "71573d5dc03b28279c1a337e9fd91ffbeff47569", "a493a731dadababb6f2ae0b4b6233d861206345b", "90aa692013e6a36f8313b9cf3183a499852b4330", "c44c84540db1c38ace232ef34b03bda1c81ba039", "ab0a19609759acd2823c86aa6c3648e765550626", "2836d68c86f29bb87537ea6066d508fde838ad71", "2050847bc7a1a0453891f03aeeb4643e360fde7d", "d3a3d15a32644beffaac4322b9f165ed51cfd99b", "b2e308649c7a502456a8e3c95ac7fbe6f8216e51", "39aaa7ca4983caa563656716096c9eb0082c8a51", "871f47c80e738e9710e4e0f2afb9855f1ee1d6e3", "744d23991a2c48d146781405e299e9b3cc14b731", "50cfe0673a2ea8986a80b771a44aced2d793e34a", "038277dbfcd767b0a0899de42d3277b5b253cc8e", "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "2133475ba633c732292ccf405f07a0baea9d01b3", "434881b40c45df1e807eae37edf454e65d36a4a3", "1fe9289bf1640d3e1d5030d2da158497a7f3b4a2", "17670b60dcfb5cbf8fdae0b266e18cf995f6014c", "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "e9a5a38e7da3f0aa5d21499149536199f2e0e1f7", "b9d68dbeb8e5fdc5984b49a317ea6798b378e5ae", "3da3acb71219a0e13f460838a4d34289e03174fa", "1d3dd9aba79a53390317ec1e0b7cd742cba43132", "853bd61bc48a431b9b1c7cab10c603830c488e39", "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "8c66378df977606d332fc3b0047989e890a6ac76", "4863333b9e5f25423e273a0581de3edee8bb3b97", "b0c1615ebcad516b5a26d45be58068673e2ff217", "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "e9e2d40e40438a3485d7763b97302240ab637c05", "019e471667c72b5b3728b4a9ba9fe301a7426fb2", "80097a879fceff2a9a955bf7613b0d3bfa68dc23", "d37ca68742b2999667faf464f78d2fbf81e0cb07", "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "1648cf24c042122af2f429641ba9599a2187d605", "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "70569810e46f476515fce80a602a210f8d9a2b95", "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "989332c5f1b22604d6bb1f78e606cb6b1f694e1a", "c607572fd2594ca83f732c9790fd590da9e69eb1", "705674e26ec579bc061726e7f3eeeaba806f45f0", "08d41d2f68a2bf0091dc373573ca379de9b16385", "a95dc0c4a9d882a903ce8c70e80399f38d2dcc89", "eb8519cec0d7a781923f68fdca0891713cb81163", "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "fec438794c9cc3350d6dd9a16cd48d1b8d13b32a", "68eb46d2920d2e7568d543de9fa2fc42cb8f5cbb", "68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090", "5194cbd51f9769ab25260446b4fa17204752e799", "003846e4559fa32699f08ecd09de13ed5a4e92d2", "9838ba7a31a096503def7b69bf48e5d327f95caa", "986a1f8d07e2ae3df98fe91f6fa5303c808df763", "538f735450463f40c78f60797899fcee47df72bc", "ec949cb716fb33cb9273fc90f36b0351056ef0e0", "c74562aba74472794736728fc5ba95891e624f4a", "6293d33e176ba7ccd59e94f8a137876c1d581e1f", "902794cdcc6d908a2955f4c7361a881fa76afc98", "593dc59fc8b89d5040be7fa5239755ab47b0e01d", "747fdee12e633addeae3b74c12643cbac2c925ec", "f77b3e6b6eb4bc6d6bfeed290a1bc533bb97968a", "75d8f2da0e9d80eef141c765254d7752445afb53", "04b194d6358957e5a48b3e33a0738de59cf7cccf", "0adb5923fb1955f7ca0a85454afe17e5d25425df", "6a203565275610eac73461438f4cff1a35d5075c", "c626a9d75dfd73e26cf30793d5ef71527cd9fa95", "655b1f83ef218ee6a030b5541d2865bc6599e6d9", "54171243dfae9d7343c78026c9b94004df3853bb", "bf9b34433bdf14e595a1ed89a23c416990639215", "70920447b8300fd65745c0a884523e4d52d000ef", "39d091bd1908229ba0b2490f762b23a8c7050693", "9e889034999221e37da9f72bbb60383712fe7806", "f1cec5f837638efd8fd592cf5493f33ed1fb6995", "9fa59e7bf64875da23547ebb49d34fba5233c61b", "5ad88a16e2efe9bb67c20cdbd9b003ffb79c12ef", "1a1955920ee36d58265fe17100ca451d899e8372", "444a3d811380318d6c01d952e751e0aa55588595", "db412dcee9aba0615d7972fdee55655061ed0178", "7a88d33b3e23a2cdf1e8a2b848c73a12a34ba88c", "29954bf080407f23c8ac140202bd2ae5a48fdede", "56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0", "ceb4040acf7f27b4ca55da61651a14e3a1ef26a8", "84af83ff6412a756df58b6436f0d2e3c049e1f12", "10d68ad6411aecf321c1a590a481901623495181", "a546fd229f99d7fe3cf634234e04bae920a2ec33", "e86e2106dbedbb6d8b1195b77540971b9d58a198", "6e0121e3e8caa27d6283e75fd13a323aa37d0df4", "af9d41c598fc5ae57b20948cf664273da4664931", "1ac4e83971cb2d0114eb3101651239c27d1b5b2b", "3db739406a5cc3326a35ce59cb261a41a0ca8f30", "20828d021b5987bebc3ce495e44eb9e48eb9be3e", "7385c53466fe95d847d21a04a805f532ab3e0101", "15fa1f2a1c6c5eeae149eeb24bfe0d545c02f73a", "4cca640761c980c77a696a64ad3c1e95b82109be", "1212af29cc596e8d058c1dc450b2040c51be6d6c", "af9685d885b88aaee4ce9c985669032a9ac9029f", "b5c4056a8b07a050f70660720cf606a2e00dd7d7", "5827586e4503389985b238ddedcd5ecabe4e4bc3", "53ab5b9187918b9eab45b32feda2aaf9e7edfae1", "dc60ce6eb9ace1dd9ec9daa26a0bb456532ce0b3", "1253223b9efba52a9d0ab2efac79d2c0d010e7a3", "83963d1454e66d9cc82e28ff4efc562f5fe6b7d3", "4cace31e5bb5ff11318b66ff1050e84ab5f334cf", "9ad0e5b0342a3878b18ec245939725a5a904a52f", "73599349402bf8f0d97f51862d11d128cdba44ef", "299ca90452aa8a7dd517de3ff3c9bf224d5100c7", "96179303817c6e3549f779abf6e033ae7d221199", "5c733b5994b8d457f8496dcf8f6864a95e53b9a0", "f736b7cf8388f20bfe9619d63d9c4ce070091863", "e3df67537b365574c0036108fa853cda23778d7c", "1df8172763d403244e77be8ad0461d3f989a9370", "fb171efd146fa2e2613c14edd7cfc0776349950a", "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "b3a82f7df6d19898da0d0a01285b8331e099cea4", "caed930d54a3f24b86163dd31eee9890ec5b5c5f", "dc63e89e014beabe084c1dc72838c473d8c7ccfe", "22dc91889312e796ad36b363bc5ed959714e4694", "9ce97efc1d520dadaa0d114192ca789f23442727", "83b700f0777a408eb36eef4b1660beb3f6dc1982", "27784c7d525b338f236de37a824a010d636102cf", "38b61bb76131659916c50f4f7926f4d225076f1d", "79a166bf02402f7ed9947b826afc72f24f65b311", "690a1b410cda35bdfb5bbc8d89af1b7a97c703d9", "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "238015b2bb185f7154d9461066b7a54c96064565", "9bd3b15944ac28aa7021db126e4344a478bdabf4", "5d76a25936366c6619d2b5e6b74106cdb53a4978", "a15f4e3adb56dbbdd6f922489efef48fc5efa003", "34ac676ddda31dfc14d4328b0914fa9f2c6e1a92", "c4934d9f9c41dbc46f4173aad2775432fe02e0e6", "66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5", "b2c60061ad32e28eb1e20aff42e062c9160786be", "5fa1724a79a9f7090c54925f6ac52f1697d6b570", "135bafc83e9a73c88e759f98a28edfdb5c02f81d", "8588e784033bcbeddad88d45decfd3af2017ad3e", "ee463f1f72a7e007bae274d2d42cd2e5d817e751", "4f0d7f2926061c9dd6081d95eb9755812f9a16c2", "1b3587363d37dd197b6adbcfa79d49b5486f27d8", "efa08283656714911acff2d5022f26904e451113", "0c2875bb47db3698dbbb3304aca47066978897a4", "8afb501d683dd2ef3276f77ffd66230403a8ba43", "21819624b83b40586afce41c3c9ae7abf6c9a2ab", "bb6bf94bffc37ef2970410e74a6b6dc44a7f4feb", "25894be540936562953f37fbbcff69e5ac17a494", "27e15e5ae496a228653b69195e7d62a758b73cfa", "53e0ff629658f5a1b6d42be9a8892a0f16587ebc", "638e04272c312d64337b14f001529084f2c40bef", "22648dcd3100432fe0cc71e09de5ee855c61f12b", "8f3da45ff0c3e1777c3a7830f79c10f5896bcc21", "747d5fe667519acea1bee3df5cf94d9d6f874f20", "daefac0610fdeff415c2a3f49b47968d84692e87", "58628e64e61bd2776a2a7258012eabe3c79ca90c", "02239ae5e922075a354169f75f684cad8fdfd5ab", "936227f7483938097cc1cdd3032016df54dbd5b6", "366cab6bf6100ea99c7d6ebd089878ee31aeecab", "e0111b5c8d4b5770f805a24a3ecb77bd90205449", "69a9cf9bc8e585782824666fa3fb5ce5cf07cef2", "c8fc65c83473c633e2bf1c13031ccd10617cc8a2", "2d8d089d368f2982748fde93a959cf5944873673", "83e5e6fc0f086017b3e099ec063df94f47427d2c", "3152e89963b8a4028c4abf6e1dc19e91c4c5a8f4", "523574aca71d8981b4122cce8d132f22391ef26e", "a8d52265649c16f95af71d6f548c15afc85ac905", "71f4a824767eed13fb02fda38b1f615710f8128f", "c112f761bf0f7135f82331b22c330130a7f71cfc", "7dd6feca2c444323ec8e7017ddd8d1253b29c6a1", "ad5079e4446d7c4bbf1895d8af56f6d299eb1f0c", "26a6b2051fe7970f94584e9efbfcf7bdcfd1d6d6", "1a00927d3719a0b6c2699f0ad1e1f4cb8402d4ea", "77816b9567d5fed1f6085f33e1ddbcc73af2010e", "c397408e784004240e866d0f31cea7b9e44fdd0c", "5ab8d83870a6fa71f787f3fbfdd03786801a3496", "b5d7b34821c09e158db7ae61b8aa628af357c9e0", "336b2f1e477a1fea7651d5c1b6eab7fd17a039aa", "27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8", "002d1619748a99aa683b5c30b7eafebdfe6adfc4", "326df1b94624b7958cff0f7e3d16e612ea9d7e4d", "4e4311a5fd99b17bed31b7006a572d29a58cdcf3", "8ad4742e656c409e5a813c1a6d5f21fd2e3a9225", "13a994d489c15d440c1238fc1ac37dad06dd928c", "993cf62bb73e18550cea82e9774ab59e43f5449e", "901bd72b9caaf78e096c3d3e015fbbfa5e90c8c1", "c2fffbc7c82ebfde82e6dcb36231a3969e91ee1b", "4b450ead769a48d22c57741c0dc0631df759bfc6", "39fc0fe46ddf43f13073cbab077d981547889dc1", "c4b937a68c068e9d70548b7dc2cf5527aff16924", "2fc15f80080b4317cad60ad645300b49afddb19e", "2bbe89f61a8d6d4d6e39fdcaf8c185f110a01c78", "39316490f69f9469d0142ba42b3deb5d29d70ec5", "1b224ad99c42e696b6d98c05a87f1738e28c6c5e", "2011d483373a84c59661f66b58ee85d277c0b7ef", "dda0f68fe949dc594ac3c42438d780adfe0d742e", "3ffd6531263bc1d0b7acd4a234a578c285f77917", "1048c753e9488daa2441c50577fe5fdba5aa5d7c", "c593c6080c75133191a27381a58cd07c97aa935b", "47f2088afb616bde5468818e23d79e1ae5a562cd", "bbf49e0dc67663b2d116eebdae93abb0f276ac8a", "9d4c05c7c9284c8e303641b95e997f11df2dd1a7", "23b3b07cb484bd3aaeaa3728f8977c44f50443f6", "df570f400e2dc597a8aec9b31786f682b822e21d", "e97ab76f97a09f585bc21d1fcda4ee78b77d0cb9", "8c5852530abaefcdce805d1e339677351c6ec7fe", "9446d1f95d5621ad1e5f3e4d4e9379f8f6ded21f", "e905d36e04aeb356c07182b840ebcabb417e7c9b", "fff32fd598e41ec6dd6903082d77f43f16908cfd", "6b60f8533d44f6a9c2b51db0e7f8421b6ec1be1a", "50f7d3faeeaca41748df4b8fd1187712add72bb4", "02fd953af0391d395bb7495d4450bbaaeb1ed70d", "721b890875660e87e7e3d9dd6917709b5fc5e34d", "68ae4db6acf5361486f153ee0c0d540e0823682a", "b3b75c14aca737b4769661f5345b99a2761d9881", "09ad57265a1f0dfd60b3360daa499f5e93059c22", "6d0cee378100cb2983d7b8d4ed337df0e2ed5c73", "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "56f759838cb154f540be809d5fad6540457facc8", "025ef3fde2ee852ffabfa726eb6ea95a7d8de802", "06eafdc0b281edb8ab4d65012da5d0c94b55970b", "db9bdf10452e99a6dcbc5c01e8c934f85d61b101", "8d2c0c9155a1ed49ba576ac0446ec67725468d87", "eb98feac659ff5c7e27bc8eb4f425bb158e3fc5e", "81f1d80dc9775995d9c080043ce128fad0298f48", "4c1e47ba68b81d210718f837b197253164decaf0", "16f0195a60ed55b5e1a955c420f94a99e5815258", "9e10ea753b9767aa2f91dafe8545cd6f44befd7f", "26c8ed504f852eda4a2e63dbbbc3480e57f43c70", "2c06c14b68f6621b4d1b9e1cf8fe81069a8d42ce", "9a2af8c3be3ff4677efaedc3141846c64c85dddb", "c28e9523565104d233351665f69c63e6cf0d1424", "a03f51c5a56401986e451e9d50ace2bc4686e12c", "1b4add23ab3e3ce40d8ec48120bd710d8b53d2c2", "a7eee3222623778294461102d0dc770d4e09a7c5", "7b7df29da8ccf4a74908f70845c7b1e523a174c2", "a0e3775fd5d5df951ac7f65d3a9165bf4b96fbd8", "2193cb7a612e25fd4fe773312ec03d6c8a2dfa03", "e38709a2ec162a6f2a2fa3b4b6463e752267b154", "d97288e3cb6ac11a7445e5a896e89866cc47718e", "eb24c37a43cd3e4a957c47898b7bbfe7c8695e3e", "02b9e1e24a3d392186673b2f7ebfd2602534e52a", "aea36332b83ac569dabc88618eb6c4ec8a7e68c9", "f0ca04fe6de04a46f44dabd8744b4163e8e0b4d3", "14d78b7e0d0813da722e8447ce4ad57a3435b6d2", "4996867811a2b66ff662ac8fc9eec119cf7f0ae7", "d3af3935eac968372b42e5bd6cf32a95420b0ac1", "afeed4b79eb88138fa342b33d6ab33e26945e19c", "50832083df91f83333364544b24f8af4798eca32", "53282ff3b130e9503c5d9e8ae77a2d63ac68e07c", "58ca00c22a7a365f71ddbd8bd56c33ceecc325be", "0580bfaf154e5e2286a115b421b17ea1ccb9a7f7", "bec31269632c17206deb90cd74367d1e6586f75f", "23c7465c16ea9343f74a400f92b970e84878b65a", "f39ab00b78607ac3685ef284cb3c78d0ceb2686c", "116f0b1f54365eccffbb3310146a43c6935cdb04", "c4f4122d16e1fdb77cb94152d0d1222b69ddc32b", "ce5ee0c014b5559c8f294c34076de7e978f84844", "06e9149b7ef8bff3a4b5a18fe01da9a522f91891", "27fe52eb8534986774b59a1aa5477c39e251f327", "2c786b32a621a52fc7d00499e4b056f149a4fba7", "8919a83be135007cda72875c777bb648a71cf6ce", "c8f428eabaee6423270882a5d79505637ec9724b", "9492e93d4ceba8b4d95efbe38f844efd34a95222", "e0969c22be0c93a2894ab2451eb5331e190fe98e", "f9b2d4a38d647f2819951f8876ec5d067696e5bc", "a7664247a37a89c74d0e1a1606a99119cffc41d4", "f7ffc2dc6801b0feee7d863f02ae2ca34c3e6a66", "ea72e537ac714d015c802280345957b40a262da4", "18855be5e7a60269c0652e9567484ce5b9617caa", "7ee610cd384cf1950d6254562e00490ad05eec57", "4c797506d610525591288f813621b271ce879452", "57b55a7a1adc8ec06285ebaf93995d67cf80c719", "0b37f9fc4fee278375c44d03d23bbea5d026dd2f", "fcf8bb1bf2b7e3f71fb337ca3fcf3d9cf18daa46", "3949967b873dca8c8adf0761777e2702415c67d4", "4ecd459aa4b4590bdc552e07b6d0bbe132fb1fcf", "06c7b96d46cc8d78f32a11f649707d22c585ba95", "6a4508df37c95e4c9e6d26ad70a2e718134b8425", "da53d733ac5c59397d925ff40c24932791b98ca1", "5791a0c98d63fb8378dfaa0f36a0a229c04df6a0", "b8053da77bf1a5b4c87fddf6140be0a612cfc164", "b372432ccd4c9cf169b1eee2adadae074eb3a3fd", "1b1eb9b758676f9b249ef17bb473cfd38c11e62d", "c553e4a2aaafca0736064c07944eace986b4d6a9", "892db59add66fc581ae1a7338ff8bd6b7aa0f2b4", "35067d880e9cad43811c6669a6b39e337cc4acc4", "baa4b2d31c1ce7b1c8ccf5cbd3e12ae3e89e1d7e", "bc6a0a107068b5a1715510e815c0103eaf80672a", "dedabf9afe2ae4a1ace1279150e5f1d495e565da", "da2d7ca77376b90a79287a517f596af628c8f488", "013b72b0941eec78c6a23bb8e94b9447793b7833", "2d690c63b00e68782666ebf86ac0756fad100a18", "6eee5d9c5343b7953028a49d202caa683ed9b448", "a06ef8ef4838c048b814563f7cca479c7d4513f2", "233ad668dba2bda721348254d41265ceb24ba2f1", "e3c741a093847839d37817c16506cd7137a5579b", "2aad85de05e8b9137558926678c94442371d37ec", "8e9f61d2e3c27a831f85d7be07efa70bc3492c9c", "3f8537c2141ba19a03876c7bb5c1e71a01b56838", "278e1441a77fbeebb22c45932d76c557e5663197", "6f8ea33c29de7ef94f674c4c847185a127c6ea2f", "7e8edc45fa80cb0f7bc2c20e8eb893dcadde2c8c", "42a6cbc729904392808195d8d4c91636496c92a7", "d22473b5709bf03e03cf7b9c2397c9dd25a83228", "3991c704ef1030c5bfead2b58463d39842b52985", "afbaf5e3ccaef3e53ec85e42b97392a0e95d3991", "0277d5e54daf955fe670505bb1c34ad67396448d", "f84a8a7d9bb4a07e5f07cceaf9c80163315b12fe", "39c118c4f3c02daf7edcf207dfc690814967e8e8", "0e05b365af662bc6744106a7cdf5e77c9900e967", "57f3a57fd5569f15dfbb2cbc69e7f6af1e88b1da", "66080593dc4ea2347d4ff8c10e4b4dedf0d16ad2", "39c09940e03fe5c0e6c9da28253cddfeb25a4aca", "5eb2ae4f7c07015b99dba5ab6ce9d9386d493eaa", "5388638c7801b11958d937c89ece764bc769e298", "d0c916d9045dd3d028774cf06255bbd041c72af0", "08e56681533a23c79309718f76cc0081a8baefe4", "70eb48e06d9d5edf84246b772673b6d44af4b3c6", "578e755e669caee147964f9412c23943cd0f0789", "4963aeb5e5e71671ed7403a576eef82d2d95a267", "c8c0e8523481996a77423eac861dbcec7d5a7716", "b47386e10125462d60d66f8d6d239a69c5966853", "2a3768ac4f6b3bfbcce4001c0c2fd35cfcc7679d", "5955e31c413a4a08d149de8af843355ac45525bc", "36cf36021540ad81d86d6148b133751d45caeed5", "660cb4c5ba9a6bc0d1bcf6b0dff66c47512cb2b5", "e55f7250f3b8ee722814f8809620a851c31e5b0e", "4226c9b155ef3c5c78bd122d870fec42ae695ad7", "24018d6012aacfb8f5f5542664c572e6b2dd29d5", "79b669abf65c2ca323098cf3f19fa7bdd837ff31", "40c357a9479bc17c170260091aa968f6f6fbaa78", "14373c9fd08dee8f7195a88430121c69bbebbe1b", "c6f9d500f55201ac56812829fc2d258e4d662a1a", "7acc05ae92823c12b28d6ad73cb2a7707ccb6c7b", "d4881df7dafb7beed668cf6360066de4960c89b3", "e9ccd438d6d55ba0d11a63eb95c773d63b3ea4e5", "dc452f3e531c4057c930f0538d5652ad9034d1aa", "482e8a9323fca1e27fccf03d2a58a36873d0ae10", "34d14e8752f7e368b78b4e72beb851087cc336b1", "8a287a95b93b2f42279c321a828a6fc362a3db21", "aa6b683c891c15389b90eced73c56f34065ee3be", "5d14cc415a93e6f3a625ed7794e1fdcf99ea5713", "a7152589980ec27375023d719eec6acc04b7d4fd", "6502cf30c088c6c7c4b2a05b7777b032c9dde7cd", "01c948d2b73abe8be1ac128a6439c1081ebca95a", "e781f2b75fa9b2bb0f41dfa8dd248bcf874e2080", "7060bf98867cffc08e8aad59f572d3939f19a774", "765094fa3cd745bed29c20dad92dbed8c4cfebea", "9a835cf73ed824cbce116ddf2133283f4c82a971", "ea908e1ccadfc1b8c2a93edc060112e0a498d354", "279acfde0286bb76dd7717abebc3c8acf12d2c5f", "c7657e8c546ecf2987fea4d27df17992a4822aed", "122ee00cc25c0137cab2c510494cee98bd504e9f", "05a6fdc344fa9255316e0998e0f831d7e892a25d", "ff249ee2d69f14fc130fe8433732e9733ef066c6", "0f24db0c7a8db28595c9419354ec1407c2b7d89b", "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "aa925691f99a48355bf1b6b2c22a0260af35605d", "1d58d83ee4f57351b6f3624ac7e727c944c0eb8d", "7bdcd85efd1e3ce14b7934ff642b76f017419751", "182268d943926a048ea3f128ae8a3f3679d3dce2", "0b5899af61f410cc76bfc81e7cbce4499bda2570", "ddfc978b3a149015c9e517fbfe1b8563df5e7356", "28e1c113b1b57e0731c189d28e404cea3bddf260", "318c96a87a7f2e573a3c21f4b2076399556a8e0d", "f74b62933362cce595ac247fc6f54ede68697d75", "0d595eda148555402d59750cb08f79bd52a859d5", "2b2e6e073fe0876fdf96a336cbc14de0217ce070", "fc9e48e6688792a3edfe373da51e2b4e7182c6f2", "88f8519f442826f9b7b2649c1cfcbc5c82160428", "dfdc683a113c6543de36c5bec9325bbf4a2ad25c", "aa2b82cec652b8f9808a98ac708058a481822210", "fc1f1374e45883aac33092401bed89dc0566de7e", "8a3eaaef13bdaee26142fd2784de07e1d24926ca", "46e5d8f4cd7a49117876258fe70ca902ebba801b", "f8fe1b57347cdcbea755722bf1ae85c4b26f3e5c", "f2d2e07bc55792531291a8b91dccf103148371b9", "de86a9f484addcfee57a6f5a9224aa77bd23345b", "2e16f75194e2c29329b55ea8b82d1ca26ff01fdc", "d0dcef424ab6b32d00bdc66e8d4a61ebe911fff8", "8df57cc014ef7079e32bd7928dfde7e78430789a", "4da00571d3bdca847033a27f0a34000b1b3945e3", "032eda9419ba8cc57b093d4d025555f664349f85", "189619de93e83cdc26e275bc7652463328ab3f5c", "af1fa9d29512fc8f4c07efdf75d3f640567a5262", "87a63c4f8ad387b6555b37b99e003e4054cadfb3", "6a3ec8a8904436020fac8ce7873c0f47abfac17c", "362ba8317aba71c78dafca023be60fb71320381d", "c026c4eeb0d29d2842eb0b34754715e497cb1af3", "0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3", "9729ff547b6882b49898c1f5abb69646edf77e71", "129a6daa54a7334930b6413875b6154acef3922a", "f590d0d04378c3ad6b57e6ceaaccc476267c3a3f", "6665aea27cbe927ba67c1a3b512362aa07a544d0", "c92be69c7b174c1fe6eeae6d7e6f6535420f48ac", "9ae25adfda5e9788e740886080856d12a9f0d95f", "5b5962bdb75c72848c1fb4b34c113ff6101b5a87", "fba88d9030853870d83949bb1baa8f47f1c4c2c2", "c3be8f94eefd5bf984e9bc2e8918630de1729238", "c8a22550297a25dadd283089f009015bc0df5eed", "3dac3d47ed220f010549d78819b27035d1ec6844", "59423a5286d25134a916dc9439ebebe28893aaec", "1d6068631a379adbcff5860ca2311b790df3a70f", "2809ead5d1c8f436f6c761f76d1fc2dfe1977035", "c6b73d64390db1aa492b904ca577913f217950a4", "52d4cdf75cdb593fa449dd6a9afd26c5c9761d66", "b74aacefedefa3f4338e1c5999dbe756ea2ff837", "5cfa8d0384bcdf5dfd7501561c748e69f3a2a747", "b527c241e2fbd88b8ba1617f3b04e21b9c8ea832", "29230bbb447b39b7fc3de7cb34b313cc3afe0504", "8229f2735a0db0ad41f4d7252129311f06959907", "03c970e744cdfaa170fe8f5a188548c68f2bd4f0", "47e4673730082456836e127f6833b20cf102f260", "b5f773d41be527ad5af5ab26e5986c88543d73b9", "0a5ffc55b584da7918c2650f9d8602675d256023", "0b4c4ea4a133b9eab46b217e22bda4d9d13559e6", "b0b9fca75b56a9f0010805c7055e8e677e7b82f3", "75e8c765a51ade8c9a19ac8b7bae6eedc0542d66", "fdceab2fd385f1d546f2a19b8186b325d5499477", "25742cfeedc8c6c4016b0d06f10893d469f62896", "f515aea60852c9c302fcd8645106966eeb11469f", "7a76c45fdaaa2756233d00b4b1f2e3a580df9870", "68f8997b5c6c59028eac099621cbbd583549d35c", "68cf263a17862e4dd3547f7ecc863b2dc53320d8", "7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272", "4cbd8adfdc4d622d9a7dd3676869042f16d073db", "2ad448227b759de8a603fa57d3a038a9bee12785", "8815eadedc677785f5593b90de0bc5bc3ec741ed", "d035c8bef0e0619fd68ab2cc1c9e71dfd730aefe", "0a0028d18578c3ee0c01edd4157d7c1809db30cb", "32ac4e5a8dee203c0b99e15484893fd9d62de43a", "65c2464aeec7b6ea84a05529576d421e19944e15", "c94ae3d1c029a70cabdab906fe1460d84fd42acd", "485e0d178bafa959ac956aa8de6556a2439c6663", "175ecbc1e6204601bc4afb5b5f058244f183b6ff", "2d9e88db5887b7ee3501bd745f671d3acfc268ba", "494f4eb035faac6ac647203d36d0319ed44db244", "b19bebb229d50451602e752435582d340294a896", "87cfd0aa3baa43efdf40fe36452516b89c05bb5e", "5926e1e4ae5dace2c723a9c539c4a17433bda8c6", "74ed90588ff5b2aa65c1b0882f1aa50caf5c2127", "d486ca9d6cc7b91dd5d7682c6e5a6370701b4a62", "fd9feb21b3d1fab470ff82e3f03efce6a0e67a1f", "ebc0fe539f8562bc10181e15f42c4e21816a922c", "635ae8939739bbaeb4d35afd1c1491bcb3f82737", "4a12d2c80ae7a4622bf500400ad6fcff83dfb5de", "3527651a701bb7b16577e40d928825b3e3823f8c", "907311b9631d9dbc9550fe2425569735f495cc8e", "e43cc682453cf3874785584fca813665878adaa7", "899924764816c2c68d15d964a24f4fddba8d3b29", "92facdae51b96e256649ff3dd112ec5cd3feb466", "4f10b81f822091ce2142e33f0578940da1e25ad3", "b65926e1c70037e66150d6669cb6a806e609c98d", "7c0d3882c02c2adac5f587c18b4dd1179c41753c", "54f96a4b675eff2d75d1fcb517fc4a9cd64f6966", "fc31e05ac6d215e34f857f5b6408c72152346d8d", "37992120053b50b2f92eaa1949273bf828a54b50", "f74dc0b52d46fd575cbb8bdf753c821a752525e0", "f7059afb640bf21787542f2163eb7a5c7fd0b687", "336cc68bc266fb4172eb7367ce1ad7b69fcbb763", "022edc074693c52d4e689947bd2def8b2117fa8b", "37b7f55bdbf0a9a61e137199e521c29873f30ced", "07b682ecd645712fd1d1d1ce31c02ad548e3b05e", "c92e36689ef561df726a7ae861d9c166c3934908", "1319275904ef21118a83f04c5ba73787314ec784", "f5c5f5fb2bfd11b65265a7a088b50185bdc7bccd", "a12bc1b9bcd81cc0a8f7209f0538c5f356e5f4d3", "ec0177cfdee435c6522ca4ee8a5f97ac0412472e", "a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f", "cc91001f9d299ad70deb6453d55b2c0b967f8c0d", "d56b65d0f65afdfdc217c880e9c8fdcafb23bfbe", "35842f3b8f11918588687333920b2cf64599d76b", "ee46e391288dd3bc3e71cb47715a83dacb9d2907", "59420fd595ae745ad62c26ae55a754b97170b01f", "fce3d53829b739803a1ef8e80a4d4607ee319581", "91f820e2cb6fb5a8adc83e6065cbdf071aca84bd", "4bcbb221693f45d12f6ea623d6ca068f0bf7ba06", "fb4545782d9df65d484009558e1824538030bbb1", "34b5ec839b377840e2f6558f3a23fdf83263116b", "39d406df1823aad167a429f60ae8f1d3dc4250fa", "23861361973990f5d5106d3099a61480d052c9d8", "48a42303559ea518ba06f54a8cfce4226bb0e77e", "a25ba58eb02ca6d19dfcea11da98ef01cc53ea9e", "5c9cfeb77f7e5040a4ca3775e524247a0bcb73db", "c9aab37b323d9cb2504ad0f20ecc8cfe210c0469", "d0135970308d27b5af9078c6c8faefa5bbc196fa", "0da2a7ee04092645867614db3574cb261f33b6e2", "cef2c6670884729cd339e51e736c98d61ee61c43", "faa750becfb1fb65511130d73b14cd692da07444", "0c663a7224a60488502a937ed3bc2b869260b6c0", "a2b9c998264ab1920ea8f2e07c3590ebb3dc6f35", "dd6b6beba7202deb1ceeb241438fdfd48e88b394", "42e3dac0df30d754c7c7dab9e1bb94990034a90d", "04c2cda00e5536f4b1508cbd80041e9552880e67", "4990c8ff6f12bf62e986cb949dea27fd579cb2a9", "9e453713e7750995587c7fe5233f70cb63da8047", "026fd26cf0fc1d1bd80d7e265058c21c15e60f79", "9f1be5e5b1b87792a5a5c34f3a755cca23e3e517", "d78d2718047b8a5f9167d697d9acad99cfb6daf1", "526ce79587f9098ee6c153424ead74e7fbf02a80", "c4943c2c7334f3a1e7ee380de65d6903803685ff", "360d606cfe31daa9955fc098afa2ab4230127d7e", "f70be41cac83bb02cee9cbdecb1cffeba7250e89", "a1c6f88330762cc97f26585c124c6b3ac791eb89", "2fa4f66a7c3846a189ea1f962592d7c20d9683b1", "200ab001770a39d5465c661d0078f4d9410f343c", "4602bbec65b0c718d5887fdf2381fb7cee77a64d", "07d249512522ae946089460c086b98205bcd17f3", "3ae65761e3d4581f3c999d192dc0d4271e4f455e", "308f56c37c930c0b0e72b40c84a93b8486e40ea3", "3859d584d3fb794c2b74b42f0f195d16ce8e3820", "55436c98bc60a18472bcab364386d43c0841b651", "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "472b22afde0446d85f4ea096510a9d2f342ab7c7", "c49a71015d869c1c438ca7308ec7c04d633fc065", "1c99a23368fc96ba3ca71e4bcaec8107da59ab87", "5ac02cd4572b93e5245d7876e446d70df4e01bb5", "9f949f6e40e604ef05ed690ad732a2f6625997b1", "88a9b3043a951c622667dcd5f70acd2c850b3950", "1862bfca2f105fddfc79941c90baea7db45b8b16", "1b2297ba37fece76568c8b53369e6fd34d63175a", "2ba5e4c421b1413139e4bc5d935d6d48cc753757", "25366ca0d124ca6222c7edf72681943969055024", "c0b372d1a6515ba6ddd2f1661bcd0c3bce3b5fa5", "3901489fd02e47c1f4b16b55f6d27192be5dc652", "856c09ab10efbc8c61a84a951746654d947370f3", "84c8b29103480cf6f2b93e2fd4225b0d9d535ed6", "d6c1e14e8bea932f821352ea9e33928129f7d065", "f0d59dedba3b38c1c2d0fb997dc2fcf901c353d0", "16727cd69372019267589a27574147e8cf3b25f8", "7c62f5e4a62758f44bd98f087f92b6b6b1f2043b", "9fe55487c40983b1da71c073104cdc2d6f5cc7bf", "87747b6a1bff0944fc3e4891de9c3ba8868aef66", "669ae4a3a21b5800829ac9ee7e780fa42f9bc5ad", "ddf37df62a4f266906d8e361deb2be38b0bce1a2", "7e526c32a9ba12d3aeb69c70ee38b178ba203d6e", "37347e4c1b35196761fc1620e451738f880f0392", "0608313884bea3c286d6cf95ccf9bbff4c77c9f5", "385e45a0b9e88929ffe8a341c886a6de41d372f3", "9f61c20ab97351ee7de898f04af5d8e278564952", "a470a81f989d5354239f1044c90e07b78c6beed7", "656e7c7739e3f334d4f275c71499485501aabc44", "471b72ca18e3ca0c3d5edb8f28ab8eca596f78e0", "398246ac90a7abc2c0f319f604017062c4593e58", "0eb668a7542057bdda8296f856a91352dcea28e7", "c2d92e8ac031295a561ff20057424bfbde845988", "f015cb3f5ecf61e5f6e597bdc4d39351f9c392e1", "1507b1b81665b81f799b6cef530b9fbac2ee3685", "488e475eeb3bb39a145f23ede197cd3620f1d98a", "943262361be04747aba71d45fb4854cf72019851", "9b678aa28facf4f90081d41c2c484c6addddb86d", "778c9f88839eb26129427e1b8633caa4bd4d275e", "8fbc11aebd2702df7837fca20a4ac04981ada736", "bc3506336830821b55d5b2a51efc562699102ce5", "bf4f76c3da8a46783dfd2b72651e2300901ced25", "c324986c8599fee2f6da7b59751e89ed9624afa3", "ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d", "0834dff6e1d37ecb36137e019f8e2c933d5e74f6", "1f35f0400d6d112e3b27231d0d9241258efd782d", "2c375f93c0d0db944ea3ee5e5b4428c5b647f3fa", "c52aa6b9c7b89782f2316ce8ef2156fa06a3696d", "9a6d6049d4a4a1b87f6b78a644d3828a84a27526", "5a74e0b78e6ac5ac32d6c3b7a20c807d57c4c4d1", "5f6ac935f13aa4913abcca424e226b6903d50da6", "0d232056ee26b5da9b6b0658be12053a76484d2b", "3445e917f0712be391591442bfa1bca82b7ebd1a", "8d007d8d75cb84e3350889ad5e1cc6520688e65e", "4b152bd834840fd0c01b9af8c68c6518d0e18e4b", "c9974b7d35d9425faf8d31ede581c605f4f0abc1", "35c0220ab8a8281129a00ac32ef2f488fb562eb7", "236171d2c673194045b4c2e2837ddcc4a2041b8a", "9ba138e1a2f477e8256b38964a699a7ab182f221", "81542ef1b2e441e3b39f71ca12d49cee715db21e", "16c3f99f8f48d4ccb71b782f79601d5efeab8461", "e837fe3e1d97200717e22fb26ec2c545119a5e42", "09a6261c3334471bb0bc1a173aff672afe963ae3", "31697737707d7f661cbc6785b76cf9a79fee3ccd", "8150f267cd2852f27639d4d85c3a311360346c88", "a7d804aca2243843df383a7f9e312c74980d6d9d", "8627248c6e3c3e316e3964d12e0a44e23aa969f3", "766039c203f76009c5efabe7b24914cc66fe117f", "d737048ceaa81eb59ef2e4cebe2faffe1f19da8f", "6c62330cbd60f2cb6cb80b920104d0df3116cb3f", "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "8accffd31d4969ef29cc8496b1628b4b3164d53f", "2ad2af8e3bdeb0302de07defc3fec9b387414a27", "40b193d7fe51bd2ca5240d280a0fd5fe1dd6eb0e", "221debbd7878ed303eaa4666f8df04a48e4c5070", "0c2052d43883214e5bbf7ba4a73e5fd89bda63a1", "41367bca49675d0dd078dcd9a140b92d05379900", "8c99f35d6c3851513adb2c2d5c385c989879e05b", "16e2e9e4741795c004d15e95532b07943d3a3242", "01ece1dd9a0a2a7289d791625c6c7446d38584e7", "1f8d539885f78e1a9d1314e952f3099e71676a5b", "89a7e62db09ff62355f67fe706fa3d15df3b4299", "550edcdc27aff4e7ea8807356a265a0031434a49", "541f1436c8ffef1118a0121088584ddbfd3a0a8a", "ab44a7585b45e72affe1746fc302baccd6412969", "3eb298bfcc33f6e40bfd2e8788b13b256d2c0391", "a1bbe8b9eab55cdf58746fbf790eeaf626878615", "560b3895591d7b1631122b995a5c20889b1abd3d", "273dc39c3e7a18aac3cbd5f2db93969e9cc7613f", "cd0a04c0af9b6c523884415ba54bff370fd02fab", "1d2dab7790303bbe7894d0ff08ecf87d57b1fbca", "4238ce9152b02b5ae07e8e42074d1ab7462ac652", "684f87f29176db22743b327edd070ce366a8cf76", "6c9ed3378dd53a5ad9e30613ba2e1ef363bd1f9d", "37a892395061206b58127f04fee0e4d2db33803a", "398bb5cb5738789262d09a8577146723644cff58", "d28c12e270a06e977b59194cc6564787c87caa7e", "f3b4ed52992d8a016035e2da1609e534036dbefc", "3b9ee03255eb5a0040676eead1767db431e83562", "4178b559c2381d88bd81a0e73874f1e3261e17e9", "12c6f3ae8f20a1473a89b9cbb82d0f02275ea62b", "34bb062432bb5a95f0cefae4dcf9936b850e9c39", "176a3e9e118712251124c1347516a92d5e315297", "15605634feb1a5770182a8f2c3515daf102ed463", "e3c420b29b8590442decd330ef70494c2209f149", "1dbcb8998f2527df4f8cf7750e61124fa5f6a6f7", "8333f252d35a17752587734d4d777fa6bea79f0b", "f32db58cbb8319eb8f2cfa2720c810f8410eb569", "2fbe4ffef775bb9c2cea535a07ecd48ef30adcaf", "29963f39e4bfd074d30a94b5150b2bd0afb4ee16", "452c9b3a94897ac40b2dedccf2c6b9b358e5631a", "6066d0a5f1123b9e158185113c1e18c4687610c4", "1329206dbdb0a2b9e23102e1340c17bd2b2adcf5", "843d1955cdff66f76cf4ad410eb54afe96c05a08", "0569d7d3d8f96140adc8ec5a6016fdc97e7ef8aa", "2a6c7d5aa087233ff8a09bdaa34d5f76f3330a4f", "11f5dd9f1cb14d14a48499d05907ac05a20828e9", "260aed27abfe751b3d90aad9c0805d35c359ebd5", "2177f2a85f2f7b4b841c7a01bc74499005104aad", "bc843c35530e38396e8ba55b8891dbe8324054a8", "d8ce4c55d04b93bdb94c1d0427cfe40431bef941", "8e6526b46a52a18028336a8d026e9d466aa12edf", "375993fd5f94c7b02169ff0d71a74d1b84262dfc", "fafe1b7a5084e7294fa29a69abf4c0440bd523fe", "13ccce0e6fdf7831d07d588042d12e04e772dcff", "e0fa145e17fc1e530e011a9f724b4b4aa337bb4a", "25ae83767c926898047bbc50971b5b11de34e12a", "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "0014a057ebdeca672b1cdee8104cca4dc928ef3e", "0cf4105ec11fb5846e5ea1b9dea11f8ba16e391f", "f367feef8f486966916bd0769de8c7b5a59250b1", "1601ac8e682622f489b4a18792025c0843d47b86", "ae9efe3990ddb6169286f50ee4325ffb0b3dcfa7", "747dce91747014085c719ad9070538d31b8f5ed3", "1e46af829a955dc5ca9c53f94eb416bcd9e2a2ce", "8f1ac3c8fe6bcb1da2cdef60bc218ba1e264074f", "1fd258d385045340249dcb4a7c0dbc27336bca5a", "d137c5a78a84efb75cadf3516069445510ba9521", "0f18ce082b7dba524759cf3fbc21bfd1e586dea3", "38192f06ac19172299ab543483d2e0eca2f889c0", "284b4ae707d6f6fdee850d3960f54178be6109f0", "a1b4c98907c0c08671e69ebaaca6315000d5099c", "9093a9c9275dee14c2d28c9ae2dd67f8cd9a4863", "ac6c9623c063bfbdb87097e1f2e437ad7c5e1b35", "03af78f067ed1f6ea0108a4d2ab7120e7ef852ac", "50399793a5334654dedcea635cad291dda77de96", "09ff849e7e22f0ca2f46347ddfd8596f34d8712b", "6c6150dafaa4ca1d2825969548bf8a06d87723a6", "ea086c5b91972d14aa63328237e1c94ee19b8c5e", "9f97bec3ba3071b41609f8f4590b8635116d7e9f", "86e5a0806329909f6bebf4af73155be2ff185cac", "e1d726d812554f2b2b92cac3a4d2bec678969368", "2fe0555f2b92a81992247519cb8fdc047069e2b0", "04f4679765d2f71576dd77c1b00a2fd92e5c6da4", "b0e7c177084be76fb73df3c4bcf1846676a2d615", "3af16b0c1265cc9c8969f9c16ce65185297a2bfc", "a89eae439dfa7cb727bd5193a5130ae6afcd42e8", "f7a0ba33e13de1095258bf58390bcaeb60516877", "50d2fa4e3a4e961cf35cef6d11ea745f9d1b3839", "8ce5425f20f2c9e27d954a7d86503b9a0a33c34c", "edde81b2bdd61bd757b71a7b3839b6fef81f4be4", "a9a75b2ff6c68aeb2837a4d9ab3a6e8e8275c81b", "0cdac46ec42be2d81f64ec4ee53d88be43290d52", "08fe9658c086b842980e86c66bde3cef95bb6bec", "4bfce41cc72be315770861a15e467aa027d91641", "8a609abea6d8d71a4547426d8ba858c955a2ef5d", "4e613c9342d6e90f7af5fd3f246c6d82a33fe98d", "514fdf2152dda3a39fc05eb6e1c80314837d96a2", "d2f0b7392be6ec4d753c9414d57bfc18dcc407a0", "8fa3478aaf8e1f94e849d7ffbd12146946badaba", "184e4a62fc9c3c8ea8948aceebb1debe0b5fc54a", "fc3215537899eee966951a3586d7b4fac2bb07cc", "7249b263d0a84d2d9d03f2f7b378778d129f9af9", "5782d17ad87262739d69dcbe76cadfa881179a91", "9230b4d0b2460057ce927fc3a82186a806ce3ec3", "86be6ccb0d7e382d8c04d8cd7b99a17867e4f555", "e02d8652209fb722b73a37339817cf9c396be95c", "2cc3bd2ee340ee096726c9c4c9e7d20031723c6d", "05b603d7c6004de3c028e40b4434804f752290b9", "544fd5065c0f4f6b0a9ba1805785b5ef3cd68231", "32a54bec72f62407084289dfc1b6df4c9a7ce1cf", "8dc697e79cd23c2eda6a5d483f2e5aaa4eec4426", "828cfe547a2c9719dea68698dfa168b0bdd22aed", "53df7d12472ee0c466a2bb59c4a17274858345de", "7411761e789ccb1da80984472f5df5cb084e8ba3", "dab76d62013d47c084e55a14af4843265067e0d0", "23bdd2d82068419bf4923e6a0198fc0fa4468807", "541d69fdf97e5ded611ad0dd46f62bb9d2e19a51", "c383d55c717caaef3655be23fb051a2168e14ca2", "a3ebacd8bcbc7ddbd5753935496e22a0f74dcf7b", "6dfbb5801aab21dc3c0b1825db028bb617477446", "100da509d4fa74afc6e86a49352751d365fceee5", "c4136792e590ebbd7c490d9c0e0feec0204c00f8", "1fb54581120c38528984a657b1da6c24679dbea6", "c5595be9cc9dcd14dc4369d3f6089a83cfcdc968", "0d21472dbf20d4c1bd48a15267b4a59eff80e309", "0862940a255d980d46ef041ab20f153276f96214", "65ef33636f07d4d1aa1b22a5b67f1f402d6a5900", "1d55edf77c5f2f3607d5f30419b4c871fd6b07a6", "02e774dd585c35a00a2e2d30c1b9c9079f03bf3d", "544829d3b2e878c8f28fae5aa0c226e65ba6242a", "59deea5077fb537f8d7258c740c4b9a5cf1f4b8e", "40c97ba0f8c50cae18151901c0ea2504bba4e79b", "76615d7bc69ef0e50338a8c3e59c75d361ef0db4", "b4a4e93343e778d0b86c56132a63aceaa70911f7", "723f879b93097c22ffa4fe6b587d3a070a67136b", "484708cc3bd4aaff0ccf166f6ead108f0842a04e", "71f36c8e17a5c080fab31fce1ffea9551fc49e47", "97486b088729a87865d08daf56072add84db3ec6", "a9e99d6efadcf5d8f67949c5fd4e1f1c024868de", "6222bf495ef5adda051e986a82d7b7eea4880ece", "6c79992e7dedd67380b1f107e9ba012b77eb8071", "4459593cf12181988b8cec7e43f834f6831826cc", "1ab56eb6128da34027242b1314e51b9b18b960db", "47e388dcd33feda1dadac82cd60fd7f7fb599594", "085fce160b0fa279597bf23b518c56c735d9e7ff", "200f68f899f0bf72dd2c49ba2b4a5027e0291531", "a754989741afb89e588b52de375054dffbeda39d", "32202387d048e40fe692c892692f3c93f29f6d29", "c2dfdc01a39d193e017531bdc2abdbdefbb2ab33", "b13e77dd6b6891347d977f011e03ef2c51008fd8", "935758cbc31ef82bd248b6d64be4e0050f191036", "941a2710ed3cbdccb869bd6327bafb8adf730818", "0a26477bd1e302219a065eea16495566ead2cede", "28bdaf9b7fc5af73482e324d45acf91722f07340", "29b3be93a60bbc5fe842826030853f99753b08bd", "6b9be95acc206c63c23c931cb0e102f1060a0bcd", "eda8796530fd9ba23b39d50cf349fee01ccee144", "2854f8c3dc28654067e721246b611eee872c0a57", "20e5b077f05784a1d3aac5b281934069475cccfb", "0e62b741d4421b284cc6a27cea0b1e95b799882e", "8ebf1e173eedf8b3e559cb397c504383ee553e70", "e79bfb8dc4ebbdeb971545bd31ffc1392ea0ad4c", "536b5739c2162301bff19730a65bfbe8b86179b6", "27aadf6e7441bf40675874df1cf4bb7e2dffdd9e", "44482010dbd63fba4f7457cbdb7cf61e44c78617", "50fbd28cde388656afbd48812830d6bc7e71be2f", "81ebda23819ed215c83435bd861e26483b56f5c5", "ec7d418ddf95d231b2afc70ed8c94d0764abec61", "d87123ba9ee9920809f9e52ef576892f206853e2", "485c0aa6a58ba7f1c14e06f5b49679a441ac07a2", "621cff3d984455cc75e8ec94574af107ebfdb982", "5a0b50fcc4f444e6b89aeb312eca37c9d6e2bb75", "98126d18be648640fc3cfeb7ffc640a2ec1d5f6f", "3960d8eef886562df7e9eb00e71e48b4a1175721", "3efb04a9847284680b48214855eb0a962efa5c7b", "a6f4d114dae7664a5161a21fc2bdc76c86a2d69b", "de7be25d3e87a20fc9ce5bf90a60f175e64f75fd", "b00796447d670f9413e831ffb4ed548a380816a2", "185360fe1d024a3313042805ee201a75eac50131", "5250a8bbbaa9dcd25f6b2a062b7d1f3ee7406c74", "0e8defaafbbde9031fb2942eccaf980b2f20f04e", "8a0538eb80b5d41c0e5991aceeef47db01603033", "29a23b9bf42a862679ccf5fcbf7607f13b15ad9b", "7809e6d99147bc4a5a8f1379b39354b3e65ccebb", "a27c7afac5a34141ec5415defed6d4d85325230a", "b759936982d6fb25c55c98955f6955582bdaeb27", "5b70beeadc31ac8421bd9fe54fbe696b90eba1cf", "8bf4f45460536852c5f4189de009d0d1bff3ccde", "2431eeb2df8877d78901fa37a091a23dc207c2b2", "538c6000369594084b122c37b3219ad15b58cb37", "682e889fdfa43278d616d3fe18cec3126a4382a5", "245130ac792531ca9981f9c5907190eac19ebb50", "895d366c5d9c544661cb1de060c5c6b8a2990b87", "7e467f75d9c331ccc3794cef0f4ae8dafe80cee3", "12692fbe915e6bb1c80733519371bbb90ae07539", "a30d5b636086d80791578cbd0e0b02d87ab42d27", "87cab840df202609bfcfb5a9ee3293e61c7c85db", "2d34187db078c55bbd93e896d8dbfa860c87bae4", "0c3c469e46668ea2c38a6de610d675975f337522", "29c1f733a80c1e07acfdd228b7bcfb136c1dff98", "7d81257d709c0fceebd38ed76fbaa137ff2e32ed", "e4501da190012623d5048d57b7e650de27643b8d", "25ed9bd6c5febac832f3d68b96123e6ba013df83", "516a014f4654c90a22ae3d363b6e80bda68a084d", "6009f5c357a8b972c5eaafd104f03fde185568eb", "366595171c9f4696ec5eef7c3686114fd3f116ad", "2c564f5241b0905baafc3677e7ca15c27fd2c6e7", "f95004e9a61777a0c4fe6014acb9bc5d63024af0", "5d33a10752af9ea30993139ac6e3a323992a5831", "1486f2e32deac2b61d37b52e48d07fcd5208a164", "9612fd66fcd3902bc267a62c146398eb8d30830e", "36b9faf0d6c4c6296193b8d5d7833624a181624c", "c98b13871a3bc767df0bdd51ff00c5254ede8b22", "13ab059e6b592ca7bcb14337316ec1ac14aa5c5a", "7c9fc1a61359a07cba839945360b1fb617a5af0e", "f6ba16aee3c40b69dc88c947ae59811104b1bd49", "0d0199e48d22ff4b80c983e3b28532f908467da7", "acdba6bd93cbfff78c5cb03cff85b70390f77f85", "0485e96bb0c1276fe2a27271b939b6e67997acfc", "a764a07699f59ef5277730c20af881585371be4f", "c693c578d783323d130d642bd04d391aac7e8f81", "de6aacc6fc9a706e7a821651951a94634dc3b4f9", "3a818a5fe2c36ff29212b4da9f4fba3280dfd497", "4af50ecb45709829a840a75ddc84f56f288c5a64", "2a259fd1b4442a71cd127afac417a650ffc379d9", "12fe91ab616b797e22543ae6c2afa7866dbc9a49", "c666aea88c48b287080de410d4830f64f0b5ca2a", "37f075b425b5cabc9de37400792b87520f8ef226", "1113b4fcf644616e2587eacead2bca4b794ac47d", "197f945b66995e4d006497808586f828f8a88a86", "97e7810f21a145caddc7e5168b59f0ab8894f669", "14819d286c9b46c8e57c7e809db879f9e1451226", "afd9802722bde66eda6c04ff608fffaa4e210435", "0d538084f664b4b7c0e11899d08da31aead87c32", "a10f734e30d8dcb8506c9ea5b1074e6c668904e2", "1362d0680de25838c19d49baec3077ade76108df", "4eb2d6699c17cebad1ccf58014cab271a56032a0", "db35faccd8d9fcf25c363b4781cb50dbd76649b4", "271207db1eeca3f9c528abf529d62fb6d41156b8", "29b96e41948e35a5bc4a9e7ae978808bc5b0c841", "6226f2ea345f5f4716ac4ddca6715a47162d5b92", "1b55a0ad1d4738a7d46ed787542991d4a05ae27e", "92fda647757ef9e0691fee7195bac9c90bbc0f46", "0f82a869a80b6114bd16437dbf703bcae84da7b9", "fa64163eb54c595d1d7041b2394e9029202f4da4", "30962cf6f47396df88bf1c8827ebda8f0a6ff516", "b74d44d8c26750ddee1f6a44067a271097993798", "04aca8c96971acce8ac4303bf514e83c87e692ce", "47d8d8ead70e26eb791c4dea5fe1a4d666ee2462", "29f4ac49fbd6ddc82b1bb697820100f50fa98ab6", "53ee5798cc8224db919a957594ebd72fdac60e2f", "1f00863b64688414e688397e4bfaa69c82d36881", "22dff8fa7cc57f7b4f2903c6fbf6ffa7f1bea0d7", "1f4aa1d14bb99e152dd1c7ac3cfd5afa8f6a012f", "73acee80dbcf4ed119d863e4ad6c7bf1bcc542ca", "314e3cd001a3aa8e25378b915cc3d9a8125e31f8", "6b063f5119e7eee6dde3b2e6c98e28974f0b0f7f", "3fea9e8599fb75f03089d3402f7ae8e868e2a7a8", "7cf0e702d0682b12af38e8a478ffa6e7d8d6eaef", "2a1d3e1baf323e61da517a054b9571559815a651", "6a64c83a016e4831ae7beb9e0df8ab7ff514bf2e", "9746186205ed5e559d17e87d7ede9e3dd3922e54", "2c38081b653662b0e57745bb713db1b822714875", "19d4379e424e7166537442bfae918b55ff12e722", "f6248644435c918f1b27d98bb29033376d3bd6d8", "a705b6b6de4ed62891099cbe5734fb7d3d3044cc", "d593627af915e8112b4df24101b3eabfdbdd68ac", "6b02d73f097d745e58bb99a880e559b78c4594a1", "88cc7220be4ca882c129722a9a4e3ec420ece99c", "b3fa62a7028578be8d1f8eb0877c762a4d6639c1", "03701e66eda54d5ab1dc36a3a6d165389be0ce79", "59b4c4e503af54bd9feb074f0a8e8aacf2a3a6ab", "fb52ebf6ffefb54f4a1c587c96cd8ea122cc0d3a", "7e81065b76e8a1971c8575106faf34296f8bb54c", "5d3ee3c16d073a99c9f0d42174b0c7d2f1f097e2", "6eb2972abed9507e21b959ba7754b599a7af41fb", "d17a954a3d04ac8f887ec01fcadc8aa42a9cff01", "577b62afca4d5e9092228f20098da5df35ad3cdd", "e7166221e369d25b9233a3b48643e9ddf37ef313", "4ed6c7740ba93d75345397ef043f35c0562fb0fd", "78688698a5137e42062d08da586aa9dea86ebf90", "41f8477a6be9cd992a674d84062108c68b7a9520", "0314e3dc7064370a5dce74c20d39d98f55308abc", "cd58d7f2672fedf71d4ac6f7fcd71621612b2d25", "0ef99317c2ab67923c1657c05f2eba5a280a54eb", "b2e1b3b2342d29b1abbe92caffca703622ee4274", "b3cbbcf67aea4ae28a01bdc5f0c75580f869d82b", "24cce97c3fe3c3fc21f1225e4a9f6c1e736e6bb9", "8af21097f30eaaca67e8623bca6cb899e3a2c2a8", "3e4a54adb53d69984bb1e113eb1a8184be4abe99", "45467c70c1857b68902acebe6086d8d455f69f1d", "d69bd38f1c92afff7d14eb6f3cfed30f76ea2721", "c8df719d8ab2a7df6eb16378ebefd3caaa25e0d8", "587b607a176588b4646bcdb3d60b6204e98806fe", "a7b9fa67d19dff3066e96f7e37f7919f16c0a438", "1be99868a0674716eda26d899145a7ee508b2d13", "c3c7caee16dc77e5caf07890a2973367670b3511", "5c31c8b75469336cc89373067022af810f4eb19e", "4a9051db6f86beb7734a32e36f64aefcf9ff5ea3", "c3b85c36a94d25c8b3a46acb9a990c3b98a775bf", "ca29ac2fcfa409f0c30ac4f4f50650e71d54b960", "3342018e8defb402896d2133cda0417e49f1e9aa", "d93de169020b6b1698717d598d84c562534eaa00", "3bf0d20c2eb75076bff255884635c2fe3ffc98d2", "a5fdfd7e04f62ad04269c5fa08024c9143dc2473", "c9ca18d217ce4bc134e4dcf08068d0ec6d60cc10", "d1318b84c082befd4eb9de651fd524de5378807d", "9b69ea8034a24db2bb1a1eef73ec11b6367d2f2e", "fa4e1906e120c07116858f059c17abfbfa7f145b", "7c4c284ed998da31aa5765c488fc21c00d62764a", "98354134962592250a3ddbccad5cfb6733a76c9b", "261b3869bf60d4049acaf251f9015ff644299e45", "0342029ad13c337ef09b1413229a8945c0aebdd9", "17e974f463ae01c518ffb1f77852b59dd8f78b56", "613f21a9f471a26e496a18ab7484558df9803136", "1d97735bb0f0434dde552a96e1844b064af08f62", "6dbb20ed77d3901da5fa9f57d258c134d33a2e03", "d950c5b7be9e46cba46f6811845c9f45189e900c", "fc798314994bf94d1cde8d615ba4d5e61b6268b6", "66884ce29c44dc1dcf1c4a40180cd3baacceaabe", "7ea5867554c865b423d73571577f37d0560b7be2", "9ded7bd7ee896de568cbb0281ec553c21de93131", "4e061a302816f5890a621eb278c6efa6e37d7e2f", "2b4512097cb0056886f2d4d2ca7f5b034a647237", "4e626b2502ee042cf4d7425a8e7a228789b23856", "93971a49ef6cc88a139420349a1dfd85fb5d3f5c", "bd58a9d09cbf213d846f7580044b74b0efda8322", "6e53acae2e9909affde44e339d8db5fcda42aac7", "4b04247c7f22410681b6aab053d9655cf7f3f888", "612215d2a81b254e92e5632e144c647e52568efc", "3ba80d94cd19f24566b454c4a82a1e499a029158", "289f58b43794394cd312944147b80986ed5d7bef", "6bd3a97eab2cf35050e722011fdf3e862a9158cb", "d4a9db51512821094e67daa9873f0ac0aba1a98c", "1381c0adc5b9693394b0ac8f9e7ce90fb8162f08", "9a61efd9923de107efd3487d6538855c62926a6e", "ec0678aa95384e008377600195d7b9a59b55da7f", "26e4d80c4ef601b739904c5acc1a682dbc049af0", "718d3d6ca77d1999efafd171ac4b6056312035d8", "cafaff52000effaa671261e80869be94ebef0d4c", "c55501ff100d3cf416ca4bb3e20309387e3df3be", "888e48a726840bc598399ee47033383c43faf68c", "77c53ec6ea448db4dad586e002a395c4a47ecf66", "cf130b2e858d162f8dc45301a1b205c0c19ca8b3", "3ee425f59da3c8cb42bbfbc2c80122b767eece5e", "3a280773e130abd44f44eb3181ea050e4e5b64f0", "f05358fb80283f0f242215d459367bddce810cd0", "5c562ed8d58522d28ac2d749de0bce8de07c1733", "ad0dc6e623c7cdf5a0216ac9a9bc0e5d9a255fe4", "49b349021c958772926851ee7b704c8839977e28", "d6d619df6c853b04bb5369f5785dc5da5091f4b6", "c45a6a816c32d4041f9be8b937fa92d6dddfe476", "cb2b91bfb8cc57748781869ae8395b640829e665", "e3906b524a18cfa329c20cc422de78ed66d05f01", "f190a94b21e7606065d276fd5c6ad00c673e9d3d", "1836eb6b095f868a91364a4113cdd9a94fdbfadd", "3a4a908350d856577ac48caec10c0809e8396acf", "740f968be0becd9f16896cccce0e45a69e605146", "c5794039b20e38e60bf613239706517f538137c3", "42101cece94dcc37f363a38ce701d5f6276dca78", "7e49b04fa295259b2859a4c097edd7b233d24f02", "e3ea5a142714d1701c12b773b2587f876e112e57", "5bdd9f807eec399bb42972a33b83afc8b607c05c", "1548fdfe07c1e7d93389e1226257ce5499f304e8", "a172653d4559ca848b9a85f9ef5230bc794b3c3c", "c9f3a5fe33782dd486cb32d9667fba0514711f04", "f090e821921715521eff2ff474dfa65449114df0", "607850dc8e640c25f027f2eee202dee5605cf27c", "d61e794ec22a4d4882181da17316438b5b24890f", "d2b37d57b0326bfab3c5d6f9e2ec02f8b3f8fbba", "6ec9d179badd083ef7d64863f0ba36b38a2eef15", "1232b992530bff6a8b209d7d71793c343ede0664", "7f43733b4126bcacb3f394cadeb82d9fb5966634", "b9f7c83a5fe1db65f50b2add2a09946ca5e2b434", "2205ba259d725ac0e0ed271d541d61a669027893", "b68dfa8723be662e6af76bef159ed929bf8a1a2f", "efe49fcee6aad2489589a3b6dfddeae7730e0798", "afb834494f041e5db01a7ba266c4da1d2edfb593", "452955c4e448b5f5baa1522c0002d6f192166851", "e8ef27f07f8709ea66acaf8b30e858750fdb7d02", "64195b78fd4f5b9aeb5cceeb060bc9821e63136c", "fade0a2f9605905a17c67c912b37db1e82de6e73", "05a9ed5ca9c0167db21b7926ffe4a3ce31dfa123", "6290c85a9ae8b6c89151a5f8dbd678a514054674", "ece76035af582c2e5ba321fd22d021d948f93e7a", "e96c45f0809189a5fcf208f508205c6ffc3d8684", "bab88235a30e179a6804f506004468aa8c28ce4f", "080936799b4ada10785f0e227a2d10b054473127", "61c2648798014363d8c2c4478ebd09e2165e1484", "188951263d3140b3b5f5579e7a745317356e75ce", "26a9447fd836c98077d512b224c2c8771b7806d9", "2d9e1c79e14a3ec3a4cc5e177c2d5df221206996", "402979eccaf4580a57843521fef46a0c46a53b51", "190d8bd39c50b37b27b17ac1213e6dde105b21b8", "3d0379688518cc0e8f896e30815d0b5e8452d4cd", "236a99cc6364661e855cc1585ed166bb06cd30b1", "6348357fecf5324038f4ff5f14d9196f4659c74b", "318df1761d01ebafc955eca683392dc98a5056d0", "2c8511f05a9d1dc4a1da02945a9126be03999a44", "95d1533866f8ab59b7709c2106df013faa9a0b43", "96881897605eb3d9575c5379b29083b793a24bd2", "363913a335053c837d5fc279032d28c418dda1dc", "e472ab9005af1beb1e0d4a11d83e552c89b4cec2", "342bc03235e8a10848cbb315f2d9d14eb0a9ef78", "98b1e59c32c1e3c93fba0346e25892ed6904f486", "b4616157d8f602bedf7b4f69db73f6b28a08bf9e", "db995bcf42e4f4952b83b40339c2858345f227be", "9f45c026c7ef06104f229994729dc3d844358f11", "6e261b9e539ecd03d76063f893d59c6eafb6ed43", "1a6300ce4fb5eb593419a92d75ee4a4120d1c58f", "4002fc29854f79ce19bc1694194dd526ebacd17b", "902114feaf33deac209225c210bbdecbd9ef33b1", "228ee338b5d49ce25b144af6a70baaab42f32811", "e16311bf88192e1588826984d6761f7f26efe542", "84dcd7d08f61fb1f8996bf92801589e07fb18965", "f4d71167a32268281dcb8794ae1f91556b01ee38", "4c22a9f6f3f2a6071327a1fa1f6fdc7ffd06987c", "ecd1d1ee4090c378f7be78331e87f1c1e836b9f1", "961939e96eed6620b1752721ab520745ac5329c6", "01266af6b6cc067ba8f6c507b3a194a3ce7e87e4", "dbb065aa2a6e6804e0ab8aee27314a6f68c4cde1", "92017bf2df5f6532d39c624ea209f37bb6728097", "4ec46573d2e9551cf9ec956b12df356a0cc43447", "004d5491f673cd76150f43b0a0429214f5bfd823", "eb157f3592c7bbaf0609eab4e66c4ad9987fe802", "fc2f12bacd3714c02a52ba183309d1f5dd8b292e", "695f56d6b1b294d1691c93d86a23e77016a42720", "c7115255ba4b12b15d9f91cde8fd3a15b17cf54e", "cfdfe6ac376e31184178250b169de50e726a449f", "5cead7ba087ebe7314f96d875f3d3dbb8dbed1c7", "6b0805ecfb69a70e5fd3ab1362289944c6f3ad42", "c362698bcaccd6c78a8073c394781389a8ea2a86", "bd67c08fae1d32f605585b0f375ad17c9695c9bd", "43167658228d59b81d48fce14bba4ae616b866ec", "69506b4e071fc3313ade7c50f410bfc56d1296a7", "04f67ecdae235680db5006a02d5cbc153921a98b", "aec46facf3131a5be4fc23db4ebfb5514e904ae3", "fd1b917476b114919de0ae1b6a4b96a52a410c20", "ec729a62c32e4a4a851c9c314140aac285b23a2a", "875f0e2b2a35bbc4f5e45baa52ef078f889b9504", "462fe97ce53e58c8e2cb01c925b46bcf3bb53eda", "1ae21cb7981e7b4da08a83b1faefe38d817fbb18", "2d35a07c4fa03d78d5b622ab703ea44850de8d39", "c6588319e03d48f35b0aac0d429f700745e452e9", "19b03e7f37e4bc2f049ba57056f6e687e52e1f5c", "074af31bd9caa61fea3c4216731420bd7c08b96a", "839a359df925e6b159c8402bc81c39790a26febb", "43dbc4612303879bdd67efcee549196db500705c", "8f1758a6b6e01f6a866c1a1302e20886796da390", "959f28afa9502099cf0e8ede036ec2e19e4e5232", "e3192a431fd83431adc99906cb7ba40337527b74", "9530be236c0bf9c32d39ff35571a496cbd266e01", "43fe65803439c1953f8baef7ca0654677182defd", "9d5de431f8e643ed17b83e1930c003d1eb9218f7", "59206fbc9743a9d34be473188be3e861a30f2edc", "ad9cf6eb41dcd61e4ee2844721fa4361a81f055d", "220b815229ac5557b3360f96b3afd9453635088d", "a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0", "fd34b7226a18da0b155c60c1126bcc23d7696013", "3650375acaed9b4b58e90065a9dbde0087f52524", "617159ad6dfbadd396751058a1bb79e663b44a52", "ec3a4dadb9878769d5396483f6e04d9e0db2417d", "3eebe8a5adaa49e54ea909b4e2aeb436025c84d5", "69e1ccc3f9ac8410135cdd694135460440503d91", "fc2b072449663ec6065a32dece8eb8825c982119", "f24e379e942e134d41c4acec444ecf02b9d0d3a9", "347601254b7d760d6650c59722e8b1f1e471f393", "5044875556bd3c66927e17cc720c0bd04fe36faa", "654fc4c01d00891e10d28d0e0bd5b9ad76823d64", "0cc2fc148eef46c1141edd276d903853052fc19d", "753ed4c701296fa530ae8f824a80a50900a386a8", "cd4252d1f0a124dcc91af28f527ad1fa7be3a195", "6345842ec06145ac397b8b46d5f64113162a9268", "2744e6d526b8f2c1b297ac2d2458aaa08b0cda11", "2632bdc0add112b4ced6cc5aeb7ee37eb3d10db2", "9d18904e73c71f6b54dc13aa622ca0f7844d9503", "297c27c74e5cc731b5bd1ad95726b4192e3b902d", "0e151a26edaffc23f8f8224a0d132e2aa50644b0", "b17197921cfd6e06da85881a03abb2da2608b0c7", "ca3b5c52481b0a7fbe4f8a753376ec073ebedea8", "6321b0a9f210203a869cf38ca71d9b099943fb62", "f95ba9aab699394954f96c1419d3b1894b847e41", "5f32ba9d85234f20203c31d2dca0793908f825a9", "5ecf564bc9eab26c96c17304744ff1029215a109", "c74b1643a108939c6ba42ae4de55cb05b2191be5", "16eef1915f9885583a04ecd849c5d29506c2773c", "b802c3eca64d89fa73f75a7f295903ea9b10cd6f", "89f810798ede05087512be80f2e52ebe81b7b6cd", "b0070d14db2f0e9cbd48b96af3dde66b0461c555", "4003b21fb29585ae55db154a5b3fa9945b1af88e", "82ded52198cb3d145b08ea75f8de471232ad7709", "bf8fcb7860bc89c332d87ebacd260bdc5a30b4ce", "120e7a0e9e7bd0eaa248f04cf393a735832a5044", "75705f1254debc4a703ab9128c11d13cee0de66d", "2dd57833652e5239339cdc16cb3b50316ddcf3d9", "bf9d47987943e8c763ea42fbfd4b71c08ffda266", "6ae75eaa7e9f1379338eae94fbb43664bb3c898a", "a0289b48b291879c2e4e52181baccb5183d81376", "8e461978359b056d1b4770508e7a567dbed49776", "d3a79b434347bbb94f8f199c702862905ebcaf38", "a391b5dc4ad36f9125702d744613b0686df77e43", "d687fa99586a9ad229284229f20a157ba2d41aea", "f59a09a27d5ec0201f63547d4df2ee90381df7d5", "8eb4901485cc168be9d42c38200e9ceca6e52170", "2a703e0ee535c65d1e819b2e784470fac844c6a8", "bbf62974ce56f58d58c43b6ceb692ef00082333c", "72c69a7a791ff86f84f082b73e09733bb90edfd7", "526ea1569a1189ef825ce3d594022dd6bfa1c200", "4a912e8c04ec0b2d2364d36874a8faf6e4a28b8c", "80eef4c5908fbb1d5a098488dfc9b2e53456b3f1", "cf6fc9efa22a50d76123d3b2cba46202e20e9a5d", "1f7c58713471cfd75663f03dc6632c8eb48b476c", "b2a229d42a0b038d65db3a466a6127336774007d", "68d15e9fa60f3a5c9ca2fb43f2e559730c65189f", "4e51a3049f1a7301993e2d5ac8fb77a1ab0faae7", "cdf2510d1fa51e911ef8f2618d41707b0c037d3f", "0871982db35e924506d41de97ba4d909bb727f50", "e82b8fbba894dbe61fdc1ecc36640a23e2fbe6da", "177c1998dc9635bccd60151e29ec50666ff7ce6e", "998c582e463608ffdad1d27a193e2ac64a2ca297", "52e84616b177419b457969875474582feb28f8ec", "2e36a2f9022786c091d24e88a60687cf271292bb", "75dd1a7b3759f6b5910e38b936cc62313136c630", "d4a47db4b227fb8529cd8c457875a139d11d3d95", "3aa0c5c5cb5faf3c9f3c4694bf5f486d1ea0e351", "8ef484990214b80dd0e02de09d8d65906f4daf6a", "6526078009b3b4b53d751e1d9838a62a2aa4de7e", "0bba4b11ad1ec9017f1abfb457792c9c0b83c527", "7eba8590558148759b0aeebb0772e19ae50edb3c", "b50b067cbaca828515935f5c9f11d4a64ff3dfaf", "f64fecf010caa3a445381e7cabb81659ee6802a5", "c33f07164a12d8e7469e11afea0674e67138b342", "30efb804cd408471dad6b7ba6429ee1c5f1d9015", "31fc3b044ec908f7f61386422727ef23784178c0", "673736d515ecc387657c9f24d85056ec05c7a5e4", "b028d806016a72ef1ccdb73b70ceee8e1e3c126d", "c1974d59d55b6ea57d4acb8fcdc4a10f19d3cfca", "5d8e92225f1824f0b66e4661b2be90c64d09a534", "526a4847586c5b23dff7da932a86fcf8e712bb41", "3859dd21b6373bb4b237ddcebf4dc8acacb587e0", "f9d84a4a559b303a672f113abdd7d333ed94ab21", "f8facd9691b9b41392aef606aea5e6bc2e7d489c", "a55dea7981ea0f90d1110005b5f5ca68a3175910", "b1e218046a28d10ec0be3272809608dea378eddc", "03c872a7d12b08104e29d0e59fe65a8ae516561d", "8963f4cdaa92bab71e020471a9d3a99e25c7e0aa", "03faf0afc44e0e2462dfbfd83ab2e2e7b3874d3e", "30a327e5960c16f973ba791743d491a5a6d52dbd", "09c4f3d3f4ab07bfe9a65865262e44cadd393503", "3f930a1666f94440bf2bcfcfb963498ce8e12d78", "1ddf7ec443393b23992aaa01546d124d8b7c62dd", "fa8e047c959e2aa835355a9bcff11ac4dd5d5358", "6bf8cc271e1f5aecbc9df9ad411ce22182e830af", "8fec6e273f6f337e5b8661af5c9d4570ba6aa536", "943830fdc6d03e7063b1eb6694815b215b9a9e46", "56874dc2b91a896e4d0395cbb8c017a5731b24aa", "517adf4dbe299bfad2fab60bcf0efa53166d01e2", "1b457646a300c744bf098f0bfde641042602262a", "b9b539f217487b64037b0a516fc62bed205be0cb", "ed979427a4e1fc62bb8b9d8b991c5dbd9387dcd2", "fc8519bd27094a08d8b3843886c0f3e6357e80d3", "eec6c05595cb4d3172fffcd2d2c8fe4358cf52f6", "75dba0d604c1224ee48701d1419885c149b8a5c6", "c71d2ea6cad37e318289d02f20d393c85de5cc21", "d7dc630df2b19f764eddc45bc9937e7abcbbd9d7", "4d20fbd6dcdb4408dd6268951d86b92e8d96f332", "560447750f45ea18cb21f202e30344c4fe12c52e", "588bed36b3cc9e2f26c39b5d99d6687f36ae1177", "68fa3ebde4c9da70cea15b57f547a97bf3b698cd", "2a6b5b8afee8289e454db9447fdaebc1282c1fea", "7ed2aaab9d812048a60ab22e609b1ebb5cc86809", "a6df947dc3f7c1c3a37b4fdd5292e9a3b09dbda3", "d73b16b1a4f96eda9abcecaf6425b17fd02c631f", "0b71495fe7c3db9f89d238f051b6823e3b9bf3de", "0b02365863b5037cb64a7de0aee805d0371f6b21", "91883dabc11245e393786d85941fb99a6248c1fb", "3d9c027078916d51a0484ee5ff619d49be505afa", "dcb38b469b47ca409fda54a5f0fa3b8fdbb9e3fb", "7515dc37fd1e62a3c1e9bbe175c093c0c5cc7bed", "9c59214c0d9d06e6470121b48751e2ed72a3b6c2", "f10be9d1dde22b21c9cad7e5e82fea320b0b8731", "f894375c28c685fec586b722a08a78f45f931d04", "5aadd85e2a77e482d44ac2a215c1f21e4a30d91b", "9a0fd1341c567c23b8d5cfad7d6d2141b6313273", "9ca6bf5ab3b20d4893f4c5623a6df795932b64f0", "d5f1886482893adf2f61e3b344d5483c86792ab5", "4654dd4741b096c769a4c51194c457f4d8e96c34", "d2f1fa5f3cc425f7d5b9f6fe6123da8bdb0724b7", "13e8a65cb4e3dd481a7b079d0a19560b1344a427", "b5da00cffb44acf4c385c4d14a51a49d9adf5d29", "5489f0a7e4ac405ce99f638097897bc45fcf805e", "6d77b214a39b8592cd6ce48c9945e8a2466b22ba", "9c7444c6949427994b430787a153d5cceff46d5c", "f8b37756c5d8b3af3bf78a2f3dae293725074965", "740b0f180c64c71bc218da7fd275ce8dff640079", "197c406b95340dfcdef542db532e0f7a967b9cda", "9ce6730aedbd4b6e05f157397be05b33893bd69f", "1e15c5cba95cbb475ddb67157fdd480f5253502e", "2dc1d8e1fd469fe18280c09189f53db05bd62019", "030c8b086dc2705c87dc1b8b1633fb6e0a138eed", "68ba2888a6fca08cd36da66d999a881f6a536e96", "8c661e613d96210a02e5c7faad6d000b7d683e26", "79eb2b3449b6601f3aa451d9fb94752dd969cba5", "90311a9aed41340f8820f288f4f24a5e7c4baef5", "2970841968246454647be45f0a8ec7fd4a98ab31", "4613b3a9344622b2997039afe3d47df1fd4de72f", "ad5965e00d9511528c91adea0b356ad1e7081f0e", "90818e0ab85b6a5f03cd28bc5c23c90a0971c36e", "805d54dc4e5699a7c9848c044fddd2044091c697", "55671ba35bac31a4fff2f4a8620fbe5088f8c0a6", "88087582c004fbdf84e4ab4be9cdacbdfea306f3", "3dcebd4a1d66313dcd043f71162d677761b07a0d", "de18678edacae7156edb835ac5b5680cd684a0ba", "39610b2e660ec2e33b28f477657d49e3d1f58a0e", "0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b", "01db5ff980ffab31d938881dea363ed60155cab3", "9b5b7bba820466131955830fed812d25142776f6", "e423501edc7a096522eb9596d6259e9ae93ce911", "519db7bb7d1778bddfbe3725220756627373d69a", "d9fa14d9a914ed5f899d48dba005a82160f58f56", "5999930ce9a93704fc40855eb4790e831e54f966", "861a832b87b071a5d479186bbb2822f9ddbb67e4", "4244d3340304b114e5c00e7b5797d2338a5c2b82", "96ab9ba7956a2ee13e8b3e83616316f15173ff8d", "c5227e2704a87bde8280cb1ed907cc2187d0cb02", "37c3eb6c0f6427a5f401bc2b2939f25d22493808", "43b8b5eeb4869372ef896ca2d1e6010552cdc4d4", "932f58b4d6bd3bcecc5feadd82ebbf07e94583b9", "854cfc218b506b54edeee15d32b0869e77755006", "addd16272477a148574dbef94a31c35420da785c", "d50e51d0a349dd904b85734083e59643ba99bd2c", "376d9030b796cc6f0d1280aa2ff2c268eeae33b9", "d689858229ef3c0115d52d1b881895e790a91254", "fc4b50b96761f1746efe286ec1b27b0d44d5fc75", "1ec4c5039d8af149af55196590eefe89a7888a24", "c7f80cd585117ae7028148c38ddce8e63b311ba5", "14bf85bacf15241c500db72c145b0490a14addaa", "ebe95ea3d1568c70ae49e19428be1cb401fb3df2", "50074af3edde8b12d5131339cc2c3b089fa5d8f1", "167ea0ab6c1d3905cb2675ef605b9ec83d76379f", "96b83ec9c34c5b8d20797ef0c25f0eb45a7ff389", "246597d62f5d4af187a01623d7c353e13693da12", "1ded14ad9efd45ba2a4751065d7813e0b5543a12", "016b1080c108718fc59e58e47b4867baebd57d8e", "c88a1d52d92a47704a797fce2202970bb1f2008c", "b499de04abb323a0bc6b09922bd16690bd7f67b5", "00edd45d8f4fd75fc329d6a6fcc7d87108baa3a9", "a098fab95db313d8bd2a5175b519d7de5a3a675a", "d03baf17dff5177d07d94f05f5791779adf3cd5f", "6092110d67c8082a1fa16e721aaa0421ec3161d7", "5e2db6d625fdd6ed532651293b5a84f8e559791c", "398194c0b005d9de88bfe98225ea5b3a07ed001b", "699ac69c8cbd0108b2e501f5f8a59ad43b7f4e98", "776a4575812e6e177c91b3e05d55dba98db8557b", "1e213b03e1b8a6067bf37503904491e98b9e42df", "19b9583d0c1fa3ac86ac02fe5c10d8d4a59fc459", "fef3efeffade0e39f2c279653b4785b372be410e", "433bb809862f472d6f7f82c5e1f677d194c3fbb3", "646d80dcc5bcbf7006a0559329dc4d18e10c82e0", "e9bb5c25833050dd4bb64376a7e5a36d4d8f36fc", "7e5fc58d742ac5fbc16c3e33284c08fe9d9556ec", "72771b33c6756426ae3228f6a3fde4ddf880986a", "2c6225b551ad3b272c89feaf9a5295f21eca8512", "2d8f08dbb012621504753a4df493b785ad22ef0f", "5b603e8303a28473ae31b2b425b624390a5cca26", "5c7019fdbcc1a89d4a75ba88565d9ea8324579f4", "ee3494604c97b2b84ea79d8c18d64ded48244dd6", "aa156f7e2e8537b9d9cc8257e7469563a65d977c", "46be9cce021fda02f2d26f20eaf1256e17920d81", "54ab1b28175f527cb9d442b6cf9c5ce49ba339d5", "61a5ba0935e31dbc4cd448504f9b15455922c1f4", "46c82ea7aa2812e5adee6c4804d15cd5ecb96041", "2671d7085cb32fa3fe55672d9472ba22808e6fe3", "9099de23a4842b37b1612e90db18ec43d2e6250f", "d9f9b35800da98e7bde1966225b8734d2ca5e94f", "4ec4e9a682cab979e90c5029d8455e852abedf26", "2cc7c9719a5e84444cf2f123f447916908ddd398", "a870a4672dcdc53f8f85828cb64da50e51f05348", "75b51140d08acdc7f0af11b0ffa1edb40ebbd059", "4204918c1f7959310ddd78a9c5ff3a6812b5f598", "0f556558853268d86cd05bf8ea42da6d7862a024", "01f6ad4e1dc183a4e6ed7932e2146b37ae71fa09", "ed184fda0306079f2ee55a1ae60fbf675c8e11c6", "7d84c9322368e0df02b2ee3649c368b10e99cc80", "c9b139b78e5337580047138d7fc2dff3b8fcf31f", "8f717afc3bffca1521b45c402aac576ae3263cf5", "b86bcc153e097838fdb31ffa6c363f1d883512ae", "578166ee3494bd060806b16c556fd2ef9612866c", "661da40b838806a7effcb42d63a9624fcd684976", "6fc129d384431d17eb7aa22afd6ab68f1084f038", "78d00241fc9798eba895d41a0068715212a70489", "3f4cc476cad942c80ac3fe26ebc6813f4f3ba9f0", "998157761fd524f39d4d95b8929649b8d66c3b99", "01e63d0a21fad7a29301749e9eafed826101b636", "db6344e4f8a41c619573c8579595612a7cdfb080", "f18b33e9a9138d6e5226e3f70051a845d5a96941", "bfd13531b21c38832e1853bc4e5e023f83f0be5f", "d8391151d6e43d8e4ea0d8206a5acb7f9be7439f", "268441dd3c5862614c309503d5b85f77b736d659", "73489e8d5b96182c25d7d29d04dae979a24dd070", "d493288998422ee30fe67370497a8a35108f81e7", "99428c49e54b72fa11d131dffa6b37c6c633b019", "ee2ec0836ded2f3f37bf49fa0e985280a8addaca", "935c6a5087f7683942a1999495647a02190dd8de", "beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2", "e0fae57a3f704318221c4d14ee76c8a7cf9704db", "70502590316b61180fdee7ac21f740d1c836c929", "cf5bdf52cf269c9f3ebf548756146763f55e42d6", "aa54d0ac723c1a45e31df69433a72f6dc711706a", "11afe55035a4408eb5b8944b383f103e7ea12b67", "5cc2cefcc1706b6533a6b8b6f79b0f1d96282999", "1c0eaf4c568664007b092225095c9c5e008c20fe", "33e4844a95bc2df4619e6d43bd009b24a20fb79a", "1c924a8264710ed7213e2ec180e49028fe01ca10", "fa87fbc7df4e56318a38f06ceafa47206b4117ce", "741b0ce40cc18449f350792af777cc54c390eda1", "4588f2acb965351ab35bd3bdafb5be7dcee9e1d3", "b783a9a0402e713cef320c072656de487709154c", "6ed1ed0002a0b7eae2bffc309c7d7b9baf06ff1b", "4c73baaf624280b49eb73e5d72406fab5ae05011", "074e5e8cb359b54142b234a39a40ce898188e4d9", "7099e4a8b01b5cf22f9f9ecbfbed16bb44d3d76d", "8588e780fc03c628d6ccb64084701c13bc507e79", "0953df0cb7a40a29100eb3089863451ee8e6db47", "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "908e5f0610254f4993018855f0710c24bf326d93", "4541f3ee510b593243ff9a66d3586ef9125c2931", "ae5621c37b5170a642e97c555e698a05ea04497b", "0183d3634f43c85ee7357916cd84990b9ff374b7", "9da3db544cf989464ca4c74c0557f6417b462da2", "43cff54bb47d0e96cda86671b2fdd9a0d09f4060", "db78b10f9911c0bc6bbbc6fe3228ba725a370ebf", "1fd808c6fda9c530d00d7a588693244ce9f324a8", "4d7fe6bb67a1956b1cfcaa7b4e14ad79d64d3fce", "ce5eac297174c17311ee28bda534faaa1d559bae", "d6f5cd81e3957befca075114050185e304d95b05", "1c37f96b346c76cae6d13f3731d5160e1be7cb49", "0f146e17dc24a304f9e9b27cd787ff51edbc33cf", "bd21028c19e7b2a35dbdf8794d845b15fe7e3aac", "09bee5e450619111c40f82e63e1cc20dc6ceab0d", "18d0f6445abeecf1fd2ce2b79924916d5f635af2", "ce7de2beb5615ec81971fcb0471aacae1332cb40", "5175ce1cd4978e5dc11995f9beb4ae84805aff27", "2b0ab48de9e1383521be11b66b86b88fc87f4b45", "86e19f1899e67f4bdab015ad46cb72d0fb9b01a1", "0a500d42bbbf561bc19333d34290f417bdc59fd3", "c4a3cfc70ae20d3cbe808d76b35ee396239c5374", "c95ad088c9d96c7e94428b7e90ea8bf547cd9e42", "35b3dc0e961a15a7a60b95490a989f91680acc7c", "2cc46e18e6869f1a6a4420f8b839cfd4c6844c20", "bc8bd3f5653165809af3d4525f266219add4d132", "1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38", "82e4ae961dca2693742c7d35b8647243d9083613", "a02f070080d4bd0fcef8b3234ca6b8ee7c97fb50", "0779ed1e4165803287cf711f4a733d4f98d6827d", "5fc664202208aaf01c9b62da5dfdcd71fdadab29", "0537421172b6aebaa73ea157f49f9c7e828d77fa", "491932c508db8421baee8503e4401f5682357d59", "01add5c7872d7cc5aae36a1bb31f98a3eb84bb23", "3db59805f585447d2946a00b9277f59707396f0f", "4b71d1ff7e589b94e0f97271c052699157e6dc4a", "40055c342c19ab492df04dae2e186cd0d6b5dc5e", "0a481d2472958ca243a79161af97544adc67f4fe", "d2c64a89238b3f6ea74cf7024c7289f9416f283a", "748675f7ab301351b8d80b0c9816d5763ddd7bf8", "c46bcb02f92612cf525fd84c6cc79b0638c2eac9", "695e44e9582f2bef78726e3c44f46b45ef12eab1", "cbb257acc69549de69876fb17f1544e66d1c1135", "704d5572e7d5a97ddbc3c9436dc0ea785a600dc8", "d45f5f160ceff67d316b311778d5c4ea9a9279ac", "bc047bdf33c12682837fb0b2aa1ebdae99329968", "303517dfc327c3004ae866a6a340f16bab2ee3e3", "5bd07359b91d0eaa30264c5ddc9aedbb816844a7", "62b680a5ab0d83a8c5783585a4e3e541ac997ea0", "6c4ac38cb87b8ef711d49ef980edde9773a655e4", "e21cdb56c23e2a834a611d51abce545d2e8d01a2", "8e0841963aefd45ef19a62c5bc6acc56f4b17b4f", "39a5f2ab4474b8532aaccb68e3b705e5100a628e", "90dcf6c0b414900c606112c0feff7ff2d68bb94e", "d6f2ba0856d007112974596a8a1cfd5c81269836", "19b9e5127155730c618c0e1b41e1c723f143651d", "4f49ee1348f7731786a11ce2c32eb635de99be43", "8f2b348673e1b59a821a3d0ff6276acdc16a1a7f", "5f6d2580a8b9fd33283f87adbee3dd395184d076", "c0e85357120c4adb3c4c920b90194afd0a4a1a81", "52bc0f02e34ed1e2ce1f77d8f07aea2b87813e89", "a8114d9ccecbb75a88e1dd3e6a5eee387c491b47", "015cca86d9b5d891ce18eb3e04010594ab4ad533", "c274a4428e81f49c2395f4b3888e768e2dec9ee9", "c8a865aba30ece776367dc32c79ded3c263312f5", "ac20730c27b023ac8f75c3a62d001f8a3eb918dd", "0428b8c6a7bf673dcf5e86805c089ffc12e47217", "499ec985f911bfdd44ca67af223e08916f9ee8ea", "ea7e8377f80378ca9c9f8f3e65f7dec6b8b356b9", "4ea253a391f804f0045a20e6ef1ae6e92cd0ba55", "1176c886afbd8685ecf0094450a02eb96b950f71", "c082afd5928165ccaf6d419aff5d0456d8ef78f3", "532913844a98cccd780207b78a3e2d642783595d", "20f272f4bdf562aa8b4dae84b67cfafa34a00738", "f624e6a1f13a7a55454dd23871ab951b21d6c884", "8021d95301b44d0638444071bc3b8962d1e8efd7", "b8ad1f7e5753473e3d5231a08c980fc2bae3af0b", "123cb96ae91f6e809d756b32d81200014ec185a2", "c450b742717dd56039466c3f761982355bd0576a", "9c6c8e651913e0d0f58afc8348ced373c386a880", "f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b", "afaa607aa9ad0e9dad0ce2fe5b031eb4e525cbd8", "510ad7d606c928fba52425dc804fba33dd8ff265", "fcaad38bf09403b33e5d1e1f4c9edc61413e7d15", "050fde74ccc9ca2e9a66f1fc8b9373bc908f2bc9", "df358d394db1647e662ce78edc4f031434922067", "a8a45d083e5535812f991afb686b4e36ea9f0717", "bd592392942c3183f39e4a3105ef63f8cde953da", "2ec31c9e87830fe4dfd82748ef6c102ccea23362", "17d84ca10607442a405f3c4c8b4572bdd79801c2", "e835a8cf0c7046b409b16b6720b27769ad83269d", "aa03cf7c482119d906d67f91b2b905c3d7d22d90", "91242c982b6c69a8f3d8307bcbdcaab0cb2680b7", "23b4dfe0669dec9fe862f962e222b6987e09e061", "9d3aa3b7d392fad596b067b13b9e42443bbc377c", "36fafe371c2c289f9253bf3a1cb6514123c6c120", "11342399df26a059848764cc550e0f1c83992e61", "19e32a17c7091dc88cab9e858110deb7769b3f5c", "89588a4055b69abf99de321ce36b03ad5e8f8f05", "149e866def710ceb77d87ed1d3153701cde946aa", "b45549a95120a744e6b882216f8a86481fedd255", "18fcbf5c7f83aff072feb116b8a561d40afa11e9", "d6e785d3466eeaaae1f6c792f679d1111ab30302", "fd13c64f629d57b85ade538e15821fd00f4e5f1c", "b084ad222c1fc9409d355d8e54ac3d1e86f2ca18", "fe07ab1f417c96ae9851aaf0b59908925073fdd5", "a8c776ad5f4e0ccf9a3e6c5073e8951bb11d187a", "89967f456c7680c193d7c2d18d2ec267ec59dbf6", "9782c3827fb5563e6230e8c3bd72dc456a557da6", "ffa4bbfc1981fb5c44b09fe22a38b91573814e11", "f8cd3c8f27b3928862a16c1a087c445e095079a0", "5232a1ab263e4feaa4989b8b257830650403dfa5", "2e797e59174f4995020a1d0dd802f4dbef18161a", "6bcd825349722e3dffcdb2929bdb1461dd13595f", "5454c5900b6b6a0cf36df65d667129fcbd5262dc", "93b549fc1e6cae3038b122190aaa21e88a65a200", "ce9a22bb42ae68ed5bc2d19857f4fb46107a1712", "2f2fb46249ef42c8e9d506dc9ce79ad455e3e2fd", "38198502b6579354931bfa35e88dba6df806721c", "b8c3e39e6c339e0348ded128b61e83b17e731d54", "142f2241bf5205f5c270141cfa6c0e9c4666601b", "6ee3fbc4768f578601d42b1596aaf2b0cfa1d40a", "8cc86387a3185c2c357f2ae748a17a8173ccb8e7", "c88b2a351e207698dae6a2b314b5f4fd25f2e9c1", "ff7d2d9762d6ed1ca6b868bc714b72a5f150f3f1", "6829a415730eb94e447bd707a95812fa35a7f9fb", "80fd7c92f6dc92c2a61c354c73dc483794e9bcab", "24baf0d64384ad67feed9920ab04303bea610c13", "7c85c1080bc3734c61c2c6e6be74b36859ba63b3", "399aa3c151a684bdee68cceccdf2c037cbe60aab", "2ce2560cf59db59ce313bbeb004e8ce55c5ce928", "22c951d542f4d03c718bd58f8ec1b40239af6974", "e00beb10ab1bcabc47434d71bda06710ddf71c17", "37308828f9a57fa92c9f99c0f314fda08c310472", "9228d4b91c878089b3e5aa8082452df6de63dbf4", "294bd7eb5dc24052237669cdd7b4675144e22306", "af8fe1b602452cf7fc9ecea0fd4508ed4149834e", "2400543ba5a94e2723bc5296e9e5f2a280f0adbd", "4686df20f0ee40cd411e4b43860ef56de5531d9e", "8a1f095e0f84c3ac2e070823cf712103ade62fc4", "c1528d8813c34929e1263c63960d6c633c1548ec", "7afb39dcf74b5d9ae082ae33ebf3ce04dceb0cf8", "a57b87baca7f3512372e7d9cfb5a712c80b53289", "3bc776eb1f4e2776f98189e17f0d5a78bb755ef4", "a4f345a8a7b3d5933282cb7fa641b2957ca89113", "cd516ae100bcb698ce90b7d588ee06a27284c1a8", "26a07311397d47ccc438783eb256cb97309edbb2", "0bdae87db9d402cebbdac21c6a8292945a2aeaf9", "2310202b10c535b7228c9029e11a24d33deafdb2", "f3c7431bc27947423c7ee79559e9b15f6c00194f", "32cb1e4cadfe7ba1bb09679fd51b012fb616dfed", "2b7d575cd0e690c124a41ddfe62c0cb9ac96a406", "1fe74d637bc5e7d95abcd18b6967e51461fd8cdd", "1f8da6449cba22c351bf79b606fd17c6e5e758c2", "078937f636ab702137052276c62afb75ad1033ea", "bd3d2f48a8937a1498296dbaf6984f37f9710e83", "19c07f16d2577c1c19e65d0187036e73b980c8de", "ad661191f1c0515030fa2c11aba20bf1cb54022e", "6bfb0f8dd1a2c0b44347f09006dc991b8a08559c", "81a527f5679ed91ff6f5cd18e030ee5074a76a24", "96fc15d01a202446179546a5bea8106a414232a7", "94473e8aeb99b1b374975cfbca014c948c7afd95", "e4bce7dabefaff6069fc0773773c80dbc4865005", "51a8dabe4dae157aeffa5e1790702d31368b9161", "ef42f6584d696513605b424752bd9fed6ed98fa0", "e8d898a6adcd526874e0a41840b69760506a98a1", "6fb33358bc7e1a73e88b4a87fb0962366ab959c9", "ca0804050cf9d7e3ed311f9be9c7f829e5e6a003", "12d8ee0a95daf4927b5f5fb0d0b6bf73850bdeea", "79f7037675b3929dd2ee4ba989d3d26e63c9b9a7", "9be4b392e768ea3d4631c57c35d561d54905aec3", "15885415819f2a9db8eee46ea6b6224c759801fa", "88146053e69432e1162884a4717c250dd1c9a7a5", "bd3a3884718015cde3eb8b0fdeae94eb1702a233", "c99685249f0374b89a9a1a3ed1b57b2977228e7d", "17c63dddd8d37b3b8c70d509cfee81fe71d84e2e", "4264342722c48bb334d19b993400c5a133819e51", "b17969a7cd43602f8a1ba3adbbfcad1c3163eb03", "4f892475be26333ddf1b72c21f0c9c4ca129bd80", "13f3dcb3a5e21381e945138f4da6031673ce2cdf", "a964fbcfe85cdccb86e8c44d027b7f9e96fb22b6", "6c67f082c4141907d60ef914a151568ef59f58d7", "712237121aa189179ac216bee7ecd5eaa79aff56", "d2b0e08637266f49e9764b65e5154363b063a00d", "eee69704bde40ab20090c19a21487f7ca5bcc674", "f4db287121a9809233a5631b4e7c1687b9c07ba2", "bda61e9bcf02d02f61882790dbbdad8e4fed0986", "cd6aaa37fffd0b5c2320f386be322b8adaa1cc68", "4eda4c1c63d96c2764577fed9a2bb3e10937e551", "ed285220eb719732227808bdfc38b3ed1804f237", "a32d54bbf8ede0a629dcb08323e77dec3ffa334b", "9ec8800def01100d2db0ca5ad98993bdb6f682e9", "d26f0f3696d4b895e8ecafe7469164c4debacf89", "7ed81b41ce0a0ef6d6704b1629162266042de45c", "7cb569246ade0393a0ccf2cd0f9fd01921569ecd", "7a05584a0e8ff57a81a172c1c86fb524cfd9c84a", "77dc926b6ebb3e7e7854dc1b74466906c53e5f2c", "1165516b4f8bc57ed416ef7be9482c4f013b41a2", "b856d8d6bff745bb1b4beb67e4b821fc20073840", "91aff7996ea9a7257517819f8079880b6f35c92b", "6a1cda6b681278a0bdbfd50022f7024dd58411b4", "39f03d1dfd94e6f06c1565d7d1bb14ab0eee03bc", "50dff7d619de13076f04382690f2ef83cbb43155", "8db609d84190b905913eb2f17f4e558c6e982208", "0316ab93582f0f32b6137a0582d94aa31bfe3d1d", "399f973a59493280db9686ebd9e7e218ce74a5bd", "3ec0d2c66ba2f00d90470c03969372e610986833", "c7e00a3f01c54e033e5664bec1c6df82fd5c7572", "e30b14ad7341a596768bd67f854d1ed4ede2abc8", "b3c73fe9300209045168d0d15a4839f3345de46e", "c79d1509ee63086fe1a236a13353f25f36b75006", "df869aca65cdbcdcc54fdb05e44c62f2b3d006b0", "d5b5c63c5611d7b911bc1f7e161a0863a34d44ea", "15bf753aa41e4ac465d5fd13ef3913641bc0427a", "e9d7b52f6b2f6e2b81909288939d3f2d3797f0ae", "a4e670b58de7b63b42da50c8797f1f53f7e6f76b", "07e2abb4c9abd53268683b8631248c091f563059", "1ee9598f88f40dabb70965a74eed87aedb276171", "d6395245317ad36a8ff3460f6df3f135238fd204", "073bbe41f2fdfb2c87b75dbc154adc7020baab0a", "aff672a7e2c5dca5921ddfa3cf3223e2f94d5838", "26922b5ff18de4b5ffd454504f0c156098524fa3", "bd1d466299f585f2f67500a6ceef19008c4cb637", "060732e29971e4598b2b086620f66671d520a349", "a348c7d55b97a3dc77eb8890b63f2c228bf94504", "59945763707557baace208253c029265b4b6e0a9", "36b27f74b9a7fe12cf6593cc8b73e764efce7dda", "226ecd57bddb543f177426f3481a0d81aede58cc", "69909a4680263c528103c7ed52ed6300f7971289", "f18109e95dc0e3c083b7d344f472ab9e69d9a441", "38bb66c97b35851051e95834639c205254771adc", "8e6a403943d00b31aa0241c36b00234353507124", "93d6dacdce6708db29ab3eed1683aad561fd0239", "00533c79ba906cee9441654ada8071150e85f5ad", "a42209dbfe6d2005295d790456ddb2138302cbe5", "4fc044f55a3875108dc592198d8999ea51f08d77", "57349fa966e3b66ffd251ff596a8b2510c07cb4a", "ff398e7b6584d9a692e70c2170b4eecaddd78357", "d3e04963ff42284c721f2bc6a90b7a9e20f0242f", "95008358a631a10ee3c24bfa2bf0c39d136a916e", "608de8217aeb7851d0425ef412e7e65da804f682", "f9997c130b9295592bf0e49bdfcefd215b6526de", "9040fa6a62f6c185473f4043846de3aa7920624b", "ca56ac26cd7e1fdc35033228b4936bf70a090825", "a051854861453ae8a5e32ead7deed628c52f7fc5", "1ad9bc55d1a6ee18607b027ca7fcd03bec979e87", "b16580d27bbf4e17053f2f91bc1d0be12045e00b", "c82889c36a53d1c18eadcd7babb8a680d68c20fc", "ee356b434738e2965e27f933d974cc4609277328", "c5905c01dc25768c3a18f5c7051f0f73806975c8", "eb4de1c205dc084c7584a945970869961a884284", "0a1e3d271fefd506b3a601bd1c812a9842385829", "3a032433fc93acd5a482e4194a49ee7f0fd86afd", "0b9ce839b3c77762fff947e60a0eb7ebbf261e84", "90fcf4d23f490fe9ad38328b92a3a24a03115918", "d4d2014f05e17869b72f180fd0065358c722ac65", "ada4901e0022b4fdeb9ec3ae26b986199f7ae3be", "cc200b665f6c446747a48d01e89f6b1e7d7781d4", "ba25c0c330da1460cc817a98e7c55a100c255039", "ed3f32f4a6bc3524595db621fa5f6c61cf4b7497", "630ae5a734dc9dc9d46b05278f0bcb5a252f6998", "b870406cd5483d53cf02d6c28981616996f7f08a", "3d4feeb390b040408377f49681f584189de0ab86", "2a84291b542e01cc62cc94037f581e28f91dbd19", "5cca59b7d9f3680cf921ca848065dbc97d9ccd76", "99cc7338102f4d979dd793f304ada404e11cb623", "2cce7a5289c4124d9b23fe67963f3d635b63091c", "a2a8f6bf8f8cbc170fc8b4ac0fd4e7ec792a9b8d", "19f4020db2a37102ec3236ff72d8c7d3a0992ef9", "07b75e2fd8e2eab17d096bbc7fd0d408d5973d9c", "00e9011f58a561500a2910a4013e6334627dee60", "c2a1f436eff1c1607634d55db064814e922eb6b1", "50bcbdcd9a21b88c2c3e640894081d1e225a5b80", "ff061f7e46a6213d15ac2eb2c49d9d3003612e49", "50f6888d9a7edb746e43a78c682a57c7ef36765b", "427f40b7b3e5b41909050d66a94ecf34fa57adaa", "99b910dbdcbcda8ad85e2ae8edd5062f7ad791ed", "57911d7f347dde0398f964e0c7ed8fdd0a882449", "0312ea54c4fc9d82ff62c5f699808273be2bf78a", "85c007758e409eb3a9ae83375c7427dd517f4ab9", "a49018f1f04d6d64c763ac73f21890df8983e641", "7dbe5adcbda3ce5623939327eb882558729aabe4", "cc03d60b73bc484da847b658ce8bf3abf3d47753", "4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461", "b4d41bdffe3845e67980559c0dd5df71ad9efd6a", "4a5b2d5892f630a10b136eab25a1406de81b586b", "d640ca9c8a18281a3c266a85b254ab2db3fe5788", "02c50ddcb8ed626090b967a7015d1ddaf55aa149", "166c52cdd75954daf302267f24c31b6cdda5f275", "483bccc11ef1e665b8e2597f8e4e5f90a7116c40", "bde2549bd077adccd505b9c2bf0b92f8051b3b3f", "b355996fd36ea6055e45dd65c1c9422be4fef966", "3b6163ad3cb47fa7120a67f828094a0f8d4302d5", "7a2d1ab82eacbc92ec4cedbf2d7432bf0194c6df", "da141474d85257ae65e45b3d4b3a9aa23e62724d", "3bb80697a28b9876e668de2228003dbbdcb84a25", "885c37f94e9edbbb2177cfba8cb1ad840b2a5f20", "8c193d49d4038c9cc0e55236bbf2b83ed9687786", "8a92d17cff2096336796232e4e42bb11c590629d", "85b1ca3089d503781af9de23d24567461cbb65c6", "2cdb8df791cb15eef805443293319ec8690ff88f", "3bb95239433149eb6e56c3feae13b1b85d6869de", "17738b0972571e7b4ae471d1b2dccea5ce057511", "fc5fb5d0fb7c654e8fda140e5bc53f4f422a5d6e", "59e70af67a5584752489da80b36fc79cdd45bc6d", "a2268e3ec394bd8e7dfb131b931fdc00547d3f39", "4f5708dfbdf03b370fe6be9a6e260d6e124ca09a", "b99dd917f85096cd82cd1ce37b39bbf8a8596bd3", "14e31e4d3e4cbf53dac78220e0be467c5c7807ee", "504c1cc2ddea7db0f684269be3df05e9e95b6e2c", "f463d1e8170da42bbd133bdded847e2182814a15", "0bdbf63900bf75077b00984d757ca3f10eb372c4", "3b430466f7c7f26bf0dcb2f32646a67c0a611f0a", "42cdfa8feefa47abbe849f13df17822494ea331b", "eb92705f6920a5eca702066a0914cf74688e928d", "00bccef4017ff11fc089e0a87253981f6ad0b58a", "76d076b7d792edd310515132339f9f2fcc5c4bfe", "5f3a513351a75f4eb86dd57e1651e33691c62417", "ae6c9610297186e0e1d4347a2d203fe5f86dd42b", "76dc38e24129ffc8bdb84d533c4ee50c752140aa", "210178b8119398be09dccfe1c51b39700f534204", "1aff495a36ceecbe2d49a95fe5779c2062fc5127", "47abb090848b06b5ca045a8f9582a7fb0d729dfa", "3a837dd686e5b34fd2fee1ecb340d9238128eff3", "744b794f0047b008c517752fc9bb1100e5f120cc", "a9e1bddb0fdc862859b90d03e20b34d4cfdf4b93", "42966f6d506f09f990a42fe422f69895235f9bee", "108b2581e07c6b7ca235717c749d45a1fa15bb24", "9a10845115794117485fc84f9b9e6ada2a7d2b00", "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "1174b869c325222c3446d616975842e8d2989cf2", "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "8efda5708bbcf658d4f567e3866e3549fe045bbb", "287ddcb3db5562235d83aee318f318b8d5e43fb1", "96bad307f3c2062a76ff1486dcc18eea11d63ab7", "c250c1b8f160e953c2ac0253860abd6a27b8f7f7", "db3a1f1b2e6157a945217d8510683d7248478c28", "8b2dd5c61b23ead5ae5508bb8ce808b5ea266730", "a5c8fc1ca4f06a344b53dc81ebc6d87f54896722", "ea864dadea36d20adc24f47232d97676638723ab", "15d7250a7668f8687a14aaa06a4379f6bb57705b", "0c7844b63a05ec086fba231ad9eb3114ffb4139e", "ac79059866be081a8492c642291be159220979a5", "2dc7d439e99f15a499cd2dcbdfbc1c0c7648964d", "5ccd6738432ba015563395f35a046ff87a79c7df", "f095d5549de0b35ac18b2b3e178f39a5667e89f2", "f106ff6b2dd497650e7e2096b24a23d620a2306b", "831a016b31d8ecb2c017acae3d8fe2c31d5c7873", "ecb0c9af1b6d700bd2e50257c3c658477f6e9957", "76e76fb584f381a2dca627a276462c52ed680b90", "08bbb59036c4b85a2418f9702ccd37929c5dd154", "dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd", "a58817ac72b96d06e062b5e13e674ff1871df17e", "f91388f87e10674226f4def4cda411adc01da496", "e607b91f69ea2bff3194b07c5d22b4625bbe306e", "9b4f651dafbf0a59099ef43deda0a621c8b74465", "2c7946d5d2f1572c20e9843eb2033b8eb9771bf3", "0fe8d8e90889917acca22b9078a1a5607e603d8c", "1a1ed320882c00c94d9f738b7b14eadd941376ed", "33b53f4169afe0145c0a14bd7dd48bcf2f83c888", "29f351f64bc14cc210cd830f444a226fb8bef14f", "53993c7fabf631cbd8a44ab3e42c6bdf784db456", "2d21e6f8bd9e9f647f3517f51347ad89b4381a7f", "9be0de78bb69e7b243e92ab7530f9fd5a08c62cc", "df969647a0ee9ea25b23589f44be5240b5097236", "f942739b7f9bc3c0b84f760bb2fd4895e1363ec0", "b7216839f399a8ad47636f952dfa28ab34aab5b8", "7566032327a19f9ba770022677de34d7e7aeaac8", "05a26e093a101a9e6d9cac4e39a29afd6f1ca77e", "00d9c1a60f82168c9e98b7b8b911af0f42387504", "b7f0d1d65763fb57ee9a3624116a42a2fe763707", "da6f8a33bf288ac7aeae899c3c3ebf42c2cd45f8", "b33b155e9ceb953626d690e169cad4ac1117edad", "aed5aecd3f0a07036e570c84c06cd37ab8904acc", "e903f35319eae1776f8892652d78e3423a91005a", "3c089b8175ebca4a3e2caa5b1291f1c39341414c", "b1429e4d3dd3412e92a37d2f9e0721ea719a9b9e", "1ef79451c83cd625a9d1c8941bcab850956f30f0", "9cd8e1ccc5a410c7f31c7e404588597c0bb1952b", "64a5f474014e3924d3f04c8b44d6a8ed8f6c82da", "1db51b91aa2b98e91fd5e440f829a084e9932b8b", "714e8209cb0e2dc5dd36107a8d9d71e55ac887a3", "6dfd5f97e3260e80a293f92736fe3c44858ec1b7", "870f68355f9d3ec83c162d0df200077b93028e8e", "e692870efb009da4b9316678b354ae935fdf48eb", "30c96cc041bafa4f480b7b1eb5c45999701fe066", "d16336fdfdd7d992f3d85e3d60ab74689f661648", "89f4ae258970b9cba733eb39506d7cacb69e4529", "36acbadb5b1db1587479fc4595e21e81aaba1f4b", "e6dd073f9b2cea53baca6378c3b56fd84f3818bb", "80e5abbf8182e68fa0799936aa0fb43fa27e98a8", "8cac1f5c0c5786af6ff53c1b50fa85e7213ead13", "765f01e10ef2df381ad8173d90763d218f4da9e1", "8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66", "92ac98744ee8b110a1e569b30c2f8c08778a382a", "41067145afb071bff45f15a53e86f11164f5b9ac", "f122d899cbb428f9ca4d152f87d3d28e1a76338f", "100428708e4884300e4c1ac1f84cbb16e7644ccf", "228c28bd18a2d58cd771a75e8718b14dc32051e0", "ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9", "c1ee18611086ae698bbc48d7166c986512e176bf", "0328c519845cad6af96d939b7d4fbd34704b77a4", "d7fe2a52d0ad915b78330340a8111e0b5a66513a", "34d15fea236612e9df10e4c7a25ca31c0d95edd1", "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "914902618e7cc864393ad508521eb582a5af5b87", "dfd2a3cfb8250ff39de498105d3f31122f314811", "a84f80ca4e29b49cab1035ed8c7877caf2dbe914", "d4343b3c7122f57ecc0bb39887406dad5214dd57", "258da7c0f7bdfad019f9affbd3469081d1c12661", "51ebd2067aa0e66d0d66e2b018b95f5e85993206", "736a8d506785703a995aedaa9d9bf020a9b1a2f2", "2d3af3ee03793f76fb8ff15e7d7515ff1e03f34c", "e7647e094183e5b37e4723a2aa700cf51429fa3c", "ef3ccf4c7d4b240ad0fbcc29f4e6be9334db9a18", "e6d50d65a87425e7f0b4ec08c53d200f12f75590", "70badf685b6beb4a78e12beec800368a8bf9f698", "45013959589013b946d98b787cfaef404f52a5b3", "5bac2400575e8cbc3c8e9b658a0b104e44591d81", "d453952637ad119ea730ed002af8349efa98cc12", "b187ac6801c823f28052fde4a576184f6bbb436c", "71453044aa6a5aab216b3e2472fe74be77b9da34", "320e2c950d5b31cb371208a6b752a94585ac6665", "cb57352dde938353093721032f02299aafbae1fb", "45d5d080c05ceb89610323d36ceee9bf99bf6dbc", "f157ec3f4d330aac34331300b4c1fd1edcb46156", "ed3084c2545f1c9ea6a95e5dbd95bbe74531da27", "7d42c27163619fb259992ba518f165dd13eca11c", "4df3143922bcdf7db78eb91e6b5359d6ada004d2", "011db5d3c0b3630df7320dd90442ab83c26135c5", "217ddfb548f0b84c8010a0965adef469bf8c525e", "9b861942ff2584fd1660aa5e86eb67f4ad998da2", "b2891e43c7b5dcd889f1a270721209a9cb9cfb49", "9c7ae727b0627d1c20e3b06c7f310c2a2610e81f", "5b90bf3ebad1583beebcae5f892db2add248bcad", "58178c76b670a0a486b88645d5a482881d5c827c", "3e649f31eb2916213d5b064dd4f3225ff689651e", "c9d9e91bec48a13048a2a0626892e00575e236f5", "3e51988542ced911184bce400a2a4af0b044396b", "90f3c5f8a0669e3277fd1dd98b75f1e022d1f06c", "dcb668f66307ebfa2c214ea7b071c04586e2cf1c", "59da714d643757871bf3a48757a5919b9b577e89", "081456e22734a2cdef442345f80182e84d1c6124", "789a43f51e0a3814327dab4299e4eda8165a5748", "16b0c171fb094f677fcdf78bbb9aaef0d5404942", "58bb74b6efa2e7737ca7d531dafc6ddcb3340cb8", "5fc2d40dcf41fcc45db2e2a91ce615e3b170f189", "adc9c23effecc870758f35930dfadd1da319d502", "2785a806702622529d0a9bd119d3d99fbf3d0df9", "bae5a70807de5ed4975cb5231437771544465b7d", "e6606446975aa85fbb4b239141ae35293a8b8eb0", "13f4d056f6ba318074187ea5ade7f231803e2879", "5ce5c3c427d0e696c2c5ac93e76a319529dc0115", "965faca4b89047ca0c90df0f12c06bc4cb9ec2dc", "ef9dd272eae0f66c3d62785a6b29c2cc24e6dc19", "57e3a48099e661a5fa8d65599ebaeb71b51c568b", "cdf817a64c389615c2d3098ea1c4f48d10ca24cd", "1047af2458917a7924b9fae64773ebc3aae06748", "4df1bbbd8cb36c8591ace58616d6f64a4e9edfa5", "b0db46bd9568fd2350a0c25eccaa2042cb0e310b", "d842ddfecc6ede3ad86cbfc68f019d5c0c6f1e44", "0319332ded894bf1afe43f174f5aa405b49305f0", "5110c0c09e3a81265f09d6ebfcea27480ca4099c", "50f9170457cb0cc7f89d44917d5750ec33459ce4", "35a19bed4f5c0499f5c03c14fc5765ccc2904a58", "e5745f7ff915808faa6505b18a1d02aac783f5dc", "17bd74ad8e61db571d0fb270d5f6b5750bf3d354", "86aad14460b12536985620c6de043d4c11485444", "d380878ab465d4aa5fbff4d3ee26d96e10fba332", "230cdc2047406b81539840086131f879c0647633", "a3bf4d0ee5fe3f9071a59fe9c0f3081a59ece287", "398ad0036b899aec04502c243dd129c1f3e4c21e", "8f4c8a80e94a883356ee4c4425324dac5457661a", "ae0f8936faeae1b714831fcdfa889a6fbbda82e4", "74032e526edb45bc6c79cb5576e69486e72a316d", "40df3137ca769da3d76b3d5e9267ab9373b73b84", "55b9fc72c3d4c41831393e998b07ba6fe1323e3c", "abaa114931d71f80e82fddf076e2a62666126f9d", "7fe249644081e8b6e496867e4743321e7d3eff4f", "e8a1634270cc6f3fda88c995408117f2376d2a9c", "d541986a647e7ab10cc8f882e1a1f5e6d725d8a2", "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "3cd40bfa1ff193a96bde0207e5140a399476466c", "69a9da55bd20ce4b83e1680fbc6be2c976067631", "014e1186209e4f942f3b5ba29b6b039c8e99ad88", "4e7951a083bdac5c5d62c221de93181398240234", "136112d29f8abfd8804f9b9c0e15d00f7c013c6c", "301bef4826d50d56ed0f53dbc6cc124bce986f67", "ca17025fe9519b0eec7738995902be2992040a87", "2befea9b289f22547f8911aa56672d6373c1ac64", "5ad6cda57fde91dc7dc70f8ded49a46e39e692c8", "e55dfdb438c0ca607dc970b382ab3d820574586b", "f3b61d419d67a50f930bd57fd049e3208568818f", "c6a019a9da9b71b7b397005c74abfb483f255938", "d6992b0a3a736293b5a9084aa9615cc825d1c3ab", "482321a30da9edc4da8efb73f8e7d763c56811f2", "51f2e751beeb14c37412a65c8e8f0746edf8382b", "3b92916dd9d772cf1d167461a548115013a954a8", "0e41bb49b2b3b1fc4fadce856f164af51549bcb4", "39c54d22a0f29605f96ab57720cde8c6aa743c10", "e22022de2db3432b3d77a49180b58d29058750d2", "ae19008898ea1347cf0f7ecb81b71aa18137085a", "6a6a393e8c8924a379110dd6d48a0237242579c1", "cdfd6930edf117c80ba9db0961e61a9576e85f3b", "eb65bea4586db7aff66895d13c1a6b94c5364497", "1d0ee1069bd433b5f754d70517d2e0fcc519515c", "211744a5dfe8b03828bd6ffce4c5f8cc58ca9109", "89f9225a7223133fa687e1c44bb758c3567f4f26", "06c8fcb0429afd3aee153ba42e1fd8aa93f7214f", "87cf788806ad021c85b8f23e6a2c9b98f2f23691", "826aa28f44628f1740b75da3ecaf76251d2e36e7", "645736f2027c5cc64e8ca98ef46f28ae9b1b0110", "8ea27ec3c92818c1ce7e95ad8db8ec2fd53e4de1", "2b64a72d53f13417c6352d3e89fd27df91b5d697", "49435aab7cdf259335725acc96691f755e436f55", "07a29f43713833da42b24e3915b63601c39d7627", "1da57510321fb8b25dc4d21844fb9afa4e40571e", "43d073d3fdc22f0d74793fdac47ff56b66c95990", "a8fdeb7b9ce92c8ba8f25f5dc9996e409ee803fc", "07bc20cc868b1861f9ae139b8bf23beb10374125", "a03a2154f9aaff21c190634c888ed6d4f8d52150", "14df5bbb6fc34819f4ef43bb2b8cb1ada35613fe", "a72821008c41032e82f377b53bd96b5f7f8be025", "05b9c1ad0cfe1bdb68f470492c9a593bf78d5192", "10d85459ab6a9350931fcb4709bba171cd31bbde", "54b309443f53ed960f588f64d6aefe53f87504b6", "1ca9ab2c1b5e8521cba20f78dcf1895b3e1c36ac", "01853c864e7eaf0c61cdb2315681224d6a14bde4", "51673c4e2f92c04245c94b2b77065239b6a4922b", "93610676003ef1dcda3864b236bca3852cb05388", "480858e55abdbc07ca47b7dc10204613fdd9783c", "6301830b8b6ff01537ec5b3293ff229cc1d5a53b", "90a0482d4a65eed68d09aa4b64f6270654fc8fda", "9bf6fbccfdf013cfd076f9357a05fb00b50735ee", "3318ea550981a714d2c84522aee411460004347a", "f22b157fb9f9963b21a82860cb47585556bd79d5", "2753c410a4072d40a8eea5de392414999b7f4b6a", "685fcf13c5e261bf4851ddd1273e048869124ac2", "b956d741740186c99c64bb789c87da000ed3c3a5", "0a00b08c51d922d1b30753e3e756867121c7aa02", "0ed1c1589ed284f0314ed2aeb3a9bbc760dcdeb5", "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "732e8d8f5717f8802426e1b9debc18a8361c1782", "db24a2c27656db88486479b26f99d8754a44f4b8", "6a951a47aa545e08508b0b2c6a2bef45e154a3a9", "c48cfef662b39935b4a78ac64d6178870dfbba5e", "8d07fc18aa55c775760f721be4ace03de2693289", "7942d0c6e5d1a2440061f2ea4bc27e32badb9c3d", "fc2b5fa51a275af4c96029ca18789504f9f55393", "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "0b07e4341303272b26be11262feb66c0a4412c43", "bd833fc0989c4eb3ffc88713bdfc8d7480132fc4", "6f3054f182c34ace890a32fdf1656b583fbc7445", "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "e3abc96908ed0ba5537802266672d09df530d7f2", "5da29e393a92632633095ddd5e1b343bc5b11876", "677251fae7ccc62bb776374daee146cc2b7f0f4b", "ac9bdf668852dea5fa8ec4262f10562eda9bedd2", "9427c56810d422bdff00adaec42f13ecbc0aa811", "3540625bc996601a9d04c4027169b7fcad1b9eae", "555222f2ad6dae447eef04f96fa40c1b8a397150", "806c07757431ab3fd91f4276d350186cf6f9b7e4", "b1301c722886b6028d11e4c2084ee96466218be4", "387b54cf6c186c12d83f95df6bd458c5eb1254ee", "02e17f547dd75eee7282af1b5ad2626829615ac9", "2c461388ce3ab65ecbb5a4d4aab122cb7198c01f", "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "6f98c18e834ba2cea0ad0157b53c34dbcd0c318e", "acc37d228f6cb2205497df81532c582ed71dd9fe", "7ad34c3c9647bbfd9e404f802a21fee9e1029f13", "7ed27f10ff2961611bb8604096a64adfa38c9022", "b034cc919af30e96ee7bed769b93ea5828ae361b", "ca50e441e275a3c04299bb6b59f6c098abecec1d", "330126c9dd71b3b0319d6429737186f1f20057a7", "b3ca58539e1407e0fb6b308194234279f78eb1d7", "15c8443f8d9f1f6537fa8ff470ac407bf2185b0e", "02172f4cb49bb3ad4764f0e00701972483e4e85d", "1cc0183d8fbef098d29b6b5f621745ff099f6c6c", "10ba1c9fc82cbbcda26054c9ca8bfbc9d86e8ed6", "96921b313f4c8dd6cb2299de1a24d4e9803ffdc1", "9c1fa04553e96ccc59b9c0026e6e25fb2c7dae77", "cbe1a5b67c1d19aa1fca10473c6e88b4a444f77b", "dc947dc7a948aa8cb8b82f18c0de8707f6064a7d", "c62c4e5d8243da6bc1fde64097b2ab8971e6e51f", "604b79c12304af6826db4ea844dec6b2a2ca4e50", "1fc73cbc0b91a5eec313afcd251edf069b8bddd1", "74ac172076ac9550b32cce7b8e8989f1eb113515", "189355bff03076cc5bddaa11239626051931144d", "b67fade804ad0ab12e484582190899fea14bc799", "d11c6beaf4d08fdecf89ca405a7e5e9117c085c7", "687fc9ffea3ca36d87817faf37492941ec6eb0b9", "5284e9d84ef74683c306314e7a79786438514c90", "68ce5ad7baddf4ac26d992294409d06bb92dbb44", "3d5bb9b38c44448512973e5bbacb5f7468aee2b6", "d4b61c59188b830b9bbeb346d86f950585204af1", "146f989d2cea0e6825543d45c073f90dd8ae9939", "69e4bcb9d7103165176112c675120f88b2ee7a13", "d277a60f2904606193170131ffd0c1affc416c7b", "86a200647f89ed81db8031ccfbcb5368a32bed6c", "70111f6868ffab46cf32534d8b2175693c1bbc26", "1696f6861c208b6a7cac95fbeba524867ad3e8d6", "5fd80e47d53c64512a0b85a4c7a0beb24bc35766", "6e16a62acb76065d031fbd46b3a2af2b1499dc8c", "131125a5aadb48ec3eceb404cedbff713c401feb", "48f0f6d7547f43d068f4d83d7cc682b082cfaa4e", "d92e04cc1fc0bf45deb4fba12f5aff9f2c1815ba", "f6ecf84620d314cc5ae51d485eceef3270bf41d7", "2d48557e4107d93126e7f7b74fb04517697f6a52", "3535ba0cba9bf03443d52cbfc9a87090ca2e5d49", "469d249a40639d4ffb62abfb2c25f5aab0812fa4", "1b8290ff2fe1b04df14f2504b38beb749e2e75ca", "4bc176200ff718ea0a0650145d3d263b0b7dfb39", "000cd8d20d91ded078949dfcde76817221ea96c8", "ef2db5a716f80888e387a18be8550cd7081de184", "846a3d3cab941d0a23223198c9001965d9dd7c50", "698812f7d37e148c0a99e768f0a7d24e7b9605ab", "47be79c0ecb598e1af44e57f386f79adf491f82b", "01e812ad00b7743e9b24aa070a24023f05710b8b", "84346cb26e983981e21faab2623045d6adb2da2b", "9dc291b6e2416d7b8736e46f4c282be0602b3a6a", "7c8231cc89f628cad270f0c2d2228ad749a97d01", "9e4cd22ab92adcd74014709167b6cbb97baa3d1c", "d55d6ccefe797317996805ebf58a74587b158950", "cb2367f93e3bd7b228f271904bd61a5723094a96", "918b0901d1b00d63def88b1b27dbb20df72a0887", "0f3178633b1512dc55cd1707eb539623d17e29d3", "7858410077f9ba94ca60d0f6b4d29509e46a4ef9", "c5b4590d9c539dc893edcec2b54d1efffd221655", "930e61d3693583f9222a724f54a83fb20a7ba75d", "3c8cf97f00cd8b4303eccc4134fa79b15cc3d564", "a2e29b757f4021ed5b9eb7eebf78a0bddb460790", "0d96c9d14f079b7b8b6b56b4fa86f611a4ff237f", "11f4f72f99883cc225fb0cdedd457b612eb76359", "876efbccff569e064e0adfd7f212ae69d727db40", "fabbc7f921d77b5aa9157310df29ad81367fe92d", "64d46b5e05553a06ef9a73d3e2e06b1c611baef2", "ac768ff426a3a04a835cdc627481afc898a138f9", "23626966ab027e041a70b53ba2c059aa38a88c59", "9d1e20c3d2d0d67d3c2f06dbfc336170c772f2fd", "6b57526152a6093171a05499cb62840ba28da660", "bafd1978d6a68db89b4b75008e1bb53aea81f632", "3e56a9b6c6aced2cb14f9cd7f89d145851c44113", "43e5817c18ec570d614669e3940d82791d285a10", "070c979a9138a6b8c3edd5fdbf009a3c2cb877aa", "14aa9fe9b443ff636d792a1b64c1f80cc6c56ef0", "30c5000bd841388d426de26df678f567b75210c7", "9175e4f461aaaddc87072e2b1451c8da7fdff7bb", "004aa2cb4b68850ee006af8a6807b3c1a6a198f0", "17257fc03b611315ae49bd53d229188b889002e6", "056e2c82db905b93f7762a2ee7778d3aacc5a1f0", "b94ec9abc3009cfcd1e45647926b4e5084d95136", "e62a3f0d5d8540abab02b6de80dfdd2811a5879c", "dbb202b5dc073a2284044b4903a6057ac54c034f", "bacc83feb1146bb3d4cb3fa6304090c2ceb6e0d0", "edbddf8c176d6e914f0babe64ad56c051597d415", "10d39dedfaf34d862e3ca7216521c6290044ff87", "1e95a366f9212654f79027894dbedf1ef44ca4c3", "9563d6fafb6ba09c082a57e8d9b31494029a45ac", "b4a2e8d7c6c0b98f2cc4b0f9cf16a55b4e80eaea", "2838373034071d045c360943ba6fcc7e551fb808", "1abadb7a70c9faa69b618926aa4c61a2520659a1", "4143292a7544bce8c275b5f9a118268dfd3db950", "4c462a76517f70588a8406ad2a9fa290b7d77e5a", "eb2d1d406405537773e70f7e949df656ee8779aa", "9c43b59177cb5539ea649c188387fe374663bbb1", "38b3cae6ba1b98d6bc6f88d903916dac888cb951", "82405ab7fcca6c008371a74a23562091912260f3", "fd38fd64398502c0f0fc010939e7f61d44a7b5a6", "09d03b792923695deb0492d8fc3582a50e5f1a1e", "37a95a78bee34bb26a64c7ec30f7bd0496e072f1", "1974b92a19d210bcd6242a2b633603ab3bc88bb0", "5981e6479c3fd4e31644db35d236bfb84ae46514", "fd23492e0db72f849502d74cf8893c9e70f35678", "49b30c39730aeaff5904f89ab5a020086e990e2d", "a71a19903cd3e7c4c7bd9ad4e4586bf8ae9cbc4e", "90c316d4c4bdc94908e68bbe46dd6c90a88e847f", "2c29b082d8e6b90be8cad73a7514ad6e2897923e", "22d8d50911c6b8994f624267677cf736be3c5a8e", "a308ad39f3cc25096f493280319621a25c2c7f46", "d83c5c0fa648de9ea0f8f6f92ce2096d5fa04808", "04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6", "a8f92b47df845b437dbf10b828a742006b75fd27", "5a8a1c7bd50778bd7844704a6fe50d75186f1122", "e5705294bb58bda55f32dfaf6f9783748f0cd7a8", "4f2ffeb4bac11b7df692f08002f207993f479c51", "b03343b99d15e752e7c46eef04308ba496555c89", "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "21f59ece2dfe0181a3c4763318fcae254e80b7db", "0bbd0060e79c5370c6d07bef7b5830e8732e7c1b", "699797728e0e88f9821647dee2c40b86931c1f77", "c4530262874ee564932ddadf9e5208e66b6efa29", "2390f14bf3b52418953ac0d334047e92b5157c1d", "dc94db59fddedb3fc6ae5317ad719808bb5482f2", "59ce048ce1f01704f37d2d60e033c3382118ecad", "23a6b0edc8e6ad88a3d68419880665c193893e3c", "1927d86d26a1afdd4bb988b26ba89a8589675473", "00c86c21c2a842233b381d141cdaff12ef3590fd", "7d8b467a524bfd4d65d6e9481dd56a1fb381723a", "42d9cb791b8aa3a8658e3ac34e41a1bad1935610", "63bf2c8af992e7306210d23f601840b3ca57b532", "46c9e36647f2d5b40555e4e392dd76807c73f2c2", "e8062a0e50606e2230120e44b38a8cc26f475c22", "0bd7a9de611ff444be27a3a174364a5146161af0", "4fe32724ef0dc683078099199fb7c2bbf1a24b38", "18e7d5fe57fd0f660abad7c68bf6b366a975652a", "1ba97b4f02b09c588c3d5189ecb94ec80c339caf", "3fd5a28ea052ad176f32464e594f49c6a387e984", "6506e45c15cf24d9cbf3d694994195ef56063a80", "616b7093cfe6ec679f25d63f62c16e937227258f", "5fea385735997c7e826c7a389084cdba5d6e0928", "d0369a51eaae3723cfe290fd666f2d6be97fd7c7", "4fc90013e4e2297f33a86db106843917c824d6b9", "c32f798663bd00268e3ceb8a855222dae877a58a", "7fb143927b616726f065a55b4455b822b4cc8d86", "65a641203ebbed46a3db1993bd360713c51d9156", "3369b007683be909b1ff848b73a2787dc13ef0aa", "09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3", "44b517a544dafbf753f1b16feec26ec2c0c2a8f2", "eaf421c589034b422d64c2c590d30959ce2d6c74", "191e58d41835d59b918759efb9d7b59fd8e5ee00", "2dc8364433bde6041f38792cd01a6e80a55b1471", "29ade322a7d4a88da0b451d8ff814193991fb4fc", "bd7e61b2ad008741b0845fbf3e1a7a3a9805f147", "a9607714002b5debc0cf7b96a3def0cc6a005198", "22db2fd664a4b838149853d1f3390c6022a9ddb2", "32f9cfe2e352dd036dc19d30374118c2322f4449", "44e3d382ce8d765f705706d40716cb81575281e8", "312b5c73d79ae80f9f8e4573118d372cf29a80e8", "f75e27051d83775f51565b9f700eb03bc1960d42", "0a5c6b73ff2a27ec7c3bddca757643fa11f035ee", "3b6cbd6eee1b75bf6f608065126408d3c3d71e99", "134994ada9a22f82b81640948afde2252e5ad5f5", "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "9dc42551849d808f66dccf2e02c4f047a69c4d89", "c9efc5823212d700b08da5e482ffd46934ae0f58", "3099615de73bb1d6442ce29dc9959ddb91cfc282", "488cb054f61378809cdcea5b08b5005d392b07ce", "88b57bdbab36d4912212a9b93299427defda8400", "1a52e51428c7a867189a775e274ab04dc35f2bd8", "a1edc13e5c2517b57d432f4a6c6b693152e8c4bb", "e4cf6a559b4002b650dde376005a64b064963b19", "d9433ba8bc58a94dffbfebe85e1aca1b6229d6c4", "89a7cafc8b001a95373cafc71ca166d9df231385", "e8d000296ef76d8477b3f2c9a61d08aab6247487", "e53d4731b7c55dac6d70df4e068b79216bf1614d", "66f533bc88329decafc5ff171db0db2beca3446e", "0cca85ee872ae6f6a4d305880b4461f152b1d808", "5c46e40aa1313e444ddb74cf53c5c7ce0d38366d", "066454772e51df9142e99bfed1d83eae1c755ed1", "2f988201fb8316772bca1b44cc0e42f774edd714", "ce049cdb0582ffd46d2b8725c30ce73e48e796ad", "9840b1c84dc8f47979d74be23e2276a12d24164c", "7ef33dd6bc689eb17d7696e2de2d36de73507e52", "17b81e9282da0ba5624ef62f4537bd211a3f5acf", "50b22fa36b05f175101faa1eeaaf79eacfd9863b", "1260950b06b68b2be42ba54112f5856044e25652", "3d3fb9e6e591a39a74665ae6e4d5ed842596d3f2", "ef9f61f1a00351a9c38cb0e9ade622a55ff2a148", "bf9f26780d7207c8845d7787b6003a8df161afb8", "4c989676b701495221433b4c174ee6d04051348a", "43461e78874aff6b33b8231daf6068ec7ff15098", "46888c67aa5351730ce5022cc800239f6557f254", "7227c1d8f53279041822266c7a6d0ac128e96d05", "5e91464e4d9f61c0c6038447d76e14eed6758a6e", "fa43899928dc3ea398fb8542917c04abc5158724", "81b337f2006cd6c8d5fd148a56cab3e5a662d40d", "750465b63c19e8b33743f8f446413382f0239c97", "0ebb98011a941ad8800ab06b374dd3e41d17aaea", "34339f1edc9fb0ac90f363ddbaf39f853495a137", "27785e060b3aca6f3f6e09497bc32eb58b4cd6bf", "aac241c0327ceec5fded6646cc5b93e150ca8b06", "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "ceef3cce226d2f5977ff4366c5fed0e366a11d84", "41b541ff747817dade4653fe6ffcdc50e7b3135b", "247a55385a11c070a9bdfce55ad4da6b8bb8d3c6", "6cd51f1699ceb4f433c88de70bbf46b27f527d4a", "def340ffd4bc0bc57b33a447d99a3c2f64e1a572", "7c65bbde13b4dfb8381ff72f7734c9196ba5d721", "bf63599a05692ba4c18476f696edf98bc28a4f3d", "537639f670c675d625783ca08fe997449cbb4f9c", "82b9a637e55a9faef8f68d00296684c6cf29630a", "ac0fd99c800160043c9d4eb38f369c81f6ae0097", "05d5fa704527ee6f0a9eef2b9a03276b83378ca7", "e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb", "6161ed8a0aa7d5b8791534b093e02e6eca6b1524", "1e7ca1f8393c1a39e60329fce8560be92ac8c96b", "5984c4a65c8fbd02be6054c30d929e76b9b9110a", "152bac3db84632dcf3d8d9d49fb11d7df9f040bf", "241709c37d2a91b79352f1e77f0881f5de709795", "a921dbe7659e4a75c1ac53f5bdc1fcdc6caa5933", "3b1fcfd2fdb89b3534e506beda391305f10daf5a", "e6a5c128a6697063b2560702f792b97c65db99e2", "05a76887cc3f3dfad7f391bfeecc613d6c611b17", "7ebb153704706e457ab57b432793d2b6e5d12592", "2d1e009a7b7a6304903ba183e39395c358f652e8", "87defac1045bfa9af0162cd248d193e9be6eb25b", "c26f8f2ca512733b14ae2dc98e21c446466ddd6a", "ae0aee03d946efffdc7af2362a42d3750e7dd48a", "61003316e5dc4fbb36749a66f37f89a819be73f5", "263977d8867a68ac52ca4f7e19048ba2a51cda21", "09fec2f87d910613a065e4115919ba72f7ca8df9", "5a111966ed112c332c510f9f9d44fa969e155bed", "b516e9f933a573b957f21a8b9a617c8ebeaf1fea", "9352f3f9aa075d14f3402e05482bf756df8e6b81", "3bf673a1f620015cb8b5106b85c7168431bb48ff", "5a6e624b35175fa031dce373c906a340f668407e", "01beab8f8293a30cf48f52caea6ca0fb721c8489", "10f4d6b419365b75d63f24c8e71a3440ed5b5dc3", "a8db91308f59bc9452e87fc553eecea67632c443", "7a85b3ab0efb6b6fcb034ce13145156ee9d10598", "62a44dbadf36099ea4b76c0656adc2ad4c8ad734", "cc5071eec5f3d78053aac92e15e88209a0b08fac", "b5cd7c414388cd42d2df85af6ec99a2a90762b84", "73689865eeceb8e14f39f94bc20118ad243c2385", "903bc3588be010a5a166b48d3f52d0ee521dd4f9", "cfbb2d32586b58f5681e459afd236380acd86e28", "45d2d99922cfe7d0630dddd2e3a6ac478dcd26fb", "00b605f19ae4502362831e33be0f9c03228fc640", "4c72064797e493e65ed9b1e5c1e4a16ef1adf638", "5240e60456b22467ab838c815a4f93821bae6b4b", "dc0c1f211cc684a3b0e6d992fda60cdca8ffe53a", "d1554ed518b37b62293dd58542fa9dcef77b34ed", "ea46d9ab3388a4081bc2378335212ac958fbd2cf", "4edd41dcd724df28302cc5a7bc0bee348fc81456", "f93606d362fcbe62550d0bf1b3edeb7be684b000", "2eaadf87d4d4e2746a351a1c63f6873ae18bccf7", "dc295e85e698af56cd115e5531b66e19f3b9e0ce", "3939778ca4175aeccbc31d310f9b3ec8676a5030", "b702545c1076f248207549714453fe5b48cbde54", "0b7667c2cf78a96c0acd5194fbf46d5c288bda58", "cbc562b3d3441b82ac756836027e0a085d142336", "64b88125bf93a26f9e15bf57208f1cfe6e31fa1c", "00a24b3a377fdb9b31e0f9d0860e48a95c17c304", "64e166895e08dca66c54dbd617a6e76e1629e7f1", "138a89f4d4b7e44db412442c1721b582c462aa8f", "6788099f9e6b165927dfbfa71065d4c37ac97f27", "181dbee10a8273545eede2efe9b85553cfa1bc30", "4fb70690308d7322f63508b13e491edd52c1486c", "2d45cfd838016a6e39f6b766ffe85acd649440c7", "2b2887d7c28f18147094c92fa93acb3d45a42b76", "5f724a84647c5a70865509910070077962433dca", "b04e96e1fc56c11c43a6fc3e84ba4ca95905e2de", "c66eb0e17076bff559d8f94a8f967d52db2bab01", "2a08147bf88041c6e0354e26762b4e4d65d5163f", "c59aa01d1859f3b2d0db11b3d768cb3e526b0464", "9abd6bac662e8fdf4f71ccc26a89f7e360b7b879", "5eefe98aafffe665b19de515e3ba90c9c0b7219c", "3eb9f4ca21bd104b1d9963a5a74e0ad48a1a1bdf", "878f70f6abb83f5158ca0bacfc2bacd49b1886b1", "72f4c415b5f3ecf63380b6985c95c5af2ba72632", "b613ea6c4fb5efdf17af090d64e9bdce41e28711", "093da3310d98b3c09e2770c2a6aa49eeca58cebe", "38283e35371f2a426305dee60e80cd28abb4f349", "b0bf1be8731c60b2caf3a27f1e95b73875c4220b", "496e7b1c02a786ff0e2ee86711f03a59ae0abea9", "6987aa3d6896c5837124dbb14af529133984104a", "7e49a6f11a8843b2ff5bdbf7cf95617c6219f757", "488370572904a8fd97f5bc68fbdf0b3b3984cc76", "fb42787f7f4a5e4cede43bf97eca216f12e354fa", "5a4ef8b9db11833e01ca8e715c6eec928bc80df0", "aecce5d8e06da797c087fb361732e84e62c04c4f", "2a5823a387e248c4e7312d49cfbb02a25519251a", "18c1d32045df2eb7ff451b132d023d5627255f7f", "71899cbc5b4b25b2e834919f58d7620484d7e848", "d3085beb80b08376ee8d3bb79d1034a4a9c71c8d", "30e2b97b06590b7e39e6e53976c5b8265ed7392c", "b5747ecfa0f3be0adaad919d78763b1133c4d662", "da995212c9c8a933307cd893d862f5bf7d99f3ec", "1bf0b5186af083117af136dfcb08ed28828664d0", "24d0092a3fc2a414b73fd453c5cdd229fc0cb174", "188d43b5be038c705c0e552d5cc3e59980899a4d", "64407fe6fc65d3370427770544be0c7f2447e0f6", "696e4f16723db3d1cb7888acb9ab6924a40cebfb", "d066c86c509d543b549bf865bba6dddf2987059c", "4afd11632db090f518c2591f46523bc7be95ba2e", "7d953309fd93d86fe93c392dcb60d1dec3de797f", "71a95a05280068bba8d4138051f1f1d232e238fb", "12c262912f4c09e6f34d40de77f68b465d80ac8d", "0155d5876b55da1da649754e84d025dbfc00d8ea", "9e8d87dc5d8a6dd832716a3f358c1cdbfa97074c", "1b4f6f73c70353869026e5eec1dd903f9e26d43f", "a86b1198a2d6dfe57e87a5acc33a747a69d1fdfe", "512688b0b730a6083a282e52c6304d6f33b406b4", "3769e65690e424808361e3eebfdec8ab91908aa9", "8052bc5f9beb389b3144d423e7b5d6fcf5d0cc4f", "2d13971cf59761b76fa5fc08e96f4e56c0c2d6dc", "036a8bbbdd432c8eeb87ba67ac673750402657c5", "0e986ac9484e0587b6ccf01a5db735b9bf185157", "c817c3a0acfc49f7eca0e9855b550e242aa0a6d5", "c9ff9d4dc27e698a4795619a1291a488f23fdfd0", "346a877564351e4014441a1dc174b0369a759ba5", "12798749dcaea21d5eb1cdef59d1200ca4d12fbe", "d82c5c606d03ccc5f1a216b52f3eb55c2d181742", "2e1822bf06d80f5ad07a79a4bfff98c1c18fb573", "d4f8168242f688af29bcbbe1cc5aec7cd12a601c", "a5d525d27a55c38879c4becda7af7ad04406708e", "16f034d56a15f3b69e49b2b216bfb650582ef0a0", "ccdd6874aa8924152d0ad4a74a37542def74eff0", "3bdf8de95b8631af1c6ed10e5c9dac2ceccf571c", "1a29f8e4e0578a799b013bb0a9043b0ed693a32d", "9805d810286c494ead550bb3dcd2e5270e7a59d7", "05a2e6a5240b77246e26ba9875213c3157cb2fca", "5bf4f97b631937b2176db9c80dee965e2e2286be", "e052b3c2e11d298e53f06ec1472c1473b9b7fe1f", "529073b49fb28e8919d6862f2ae445477c7337bd", "26d3887193808875115f68c7fd8ef9e86659fd3b", "6baaca1b6de31ac2a5b1f89e9b3baa61e41d52f9", "57f3a6ce22c050ca78146b6cc5475c46789647e3", "b84a0cdb313554f43282ad10fc6305d758a5c51e", "49a2f3262958465c8cfd5a59bc0f9f4effd1936b", "4adca62f888226d3a16654ca499bf2a7d3d11b71", "d826a79848fc79ce2dd31792136c68131af5833a", "f6d8b67755af67d469fc1b68c52d4c9910eae0e8", "ebb0a67e17f26dbb829b8a6b4b02d412a589efe7", "9245248acf2b99ffabb00b70b9a60b8dc26ef7a7", "f9e92f5768998fbb876fb41facb1bba17b10c7af", "02b0e93e4778fdfe4984a3cf5174df64447fedff", "c3124b0491d479e8a869c61f059ffa08dad49362", "df9491cc46eacf66bb963a699b73ec1a82aec4eb", "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "0f05eb2c216097ae75542f951413a4e0a5513db5", "ade2266f249f91767b0949ae600fe1048237e567", "fecad388186269e3d8d71a75c42f56e661861c3e", "2c3138782317a97526a83a7ce264c0c772ddf7e3", "7f3c226f2ee3563461a4c5a2c323fb34beab80f5", "e1e1937b4d9e369b41575d6aa437e1b0126f187e", "149fd33b98af3d15292f7787a048c980e27574b0", "dceaef5e7cbfc4d0150c2d765cc3df4349b8b2bd", "24d68f3e7ee737463f81e9bf03500afa7b88f913", "91df860368cbcebebd83d59ae1670c0f47de171d", "085f86db9dd5e8c62889bee829443e9208cdb889", "48850f2f66b3f3b6bb93638ac2edae6060b79521", "0e1f6abdd24a4e929511740168e2f67351751302", "a00c0928a03d58a365d086a8df76ae93caf7cc63", "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "4b3c5b49fa099a77c98bad4b5299c6b4eb0a8f2e", "0da5384dbd1646ed722bd9dc7f7387cbcadcb41f", "d6a596c71828b7488d62627fefbe7fff123b62a3", "532804f37d77b91052dc2a4d75a2b756d6754d11", "50759809ecb2bb6897efe1d2a7716c1d2e522246", "32103c021e4d52f9915c3236669de5da973fb13f", "bc40057335e589c30e0b6c7b71685ef0433b5af5", "f8106b414d81df11ef2e9c26dd83f812711eec35", "3902f38412c6dd8915bb408dea500650864b8d6e", "de05ad26b25b7e7c4c3afd133c6aa2430939135d", "663efaa0671eace1100fdbdecacd94216a17b1db", "ba244239a2700b13307a112d09c895cda2fc9af5", "58a85eabed3a0c9e596e1158bd3ee54eaae4e7b4", "18d4210a5bb56e92045ef0637208685abaaca6a5", "067f150a431ee5351f53a8c69423cd2e33ee8e47", "30fa389899ab0577779ce0aa19d2a69702d251a1", "29d2b60bdd998479df7f088859905379e30967a5", "0bfb78f254eaa6171b0e56dc8dfbda824ef22d20", "efaa24efd9b1adaf4b0ad708147fad3fc12f227f", "d387bea00ecab8217ce665fc3c41eca04e24645d", "061c84a4143e859a7caf6e6d283dfb30c23ee56e", "0cba3c4ec4c1dd85b637a078b9c05244196009e9", "67e488d4d31d65a31d4bc2a3337c587720af2a12", "100641ed8a5472536dde53c1f50fa2dd2d4e9be9", "2f0cd9b54de940ae8c0db2d7aab8510fce45b507", "c41de506423e301ef2a10ea6f984e9e19ba091b4", "e31f3ce696c4b1d68ad44418fc37eded2afe75af", "19676dd4422301a11aa5fe5e5316e2c412987302", "cb3f5defe2120076ebbcc89b9256bbfcb8b4d8a1", "12fa75f90b0dcf254c33145fe08e7ce0f099066a", "26a6ee00528724c7b61e22cfe90b994523b88d00", "f4f5a68c8e7a90865c4e1a653db4ae788e387bb1", "0a5c3af1d2e3bec09a2475134c4534a596c8759b", "2e0a4a36bd5e631fd9957d8f45bfe3af7037b001", "3640fd39a0028f6b3e250fcd338dc88e9403a248", "1e58d7e5277288176456c66f6b1433c41ca77415", "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "431dc992b6f38b9e5eac4a5706af8dae01791334", "2bfb43cb0e72aaa7aff71007bb420df2c9ae4375", "5e706ba3d5c7237a580716aacda350b867c85e5f", "4d803109f3d9cca7c514db21a0494972d5681faa", "ddbfea5302fcb5cbc2ca4c498a592ddb063b9eff", "9831061dd9f3e53057ce98aa1208731119cb7f12", "0ff507cb9e30d48b811d186b1d700e377427d749", "60bd27eed0ea7294609566bae2675f544c6572a8", "ba8e129724e86984d7f935353941cbc9b134e171", "99a898c0e45ebe96403c6d57afe678ef2517e88c", "1b69b860e22278a6f482507b8ce879082dd00c44", "5fb50e750f700f920f06b3982bd16ea920d11f68", "ddb27eee407aa7fca166544cf5c2d93c5f0e76ea", "10d710c01acb10c4aea702926d21697935656c3d", "76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765", "2a7058a720fa9da4b9b607ea00bfdb63652dff95", "c335f50ba3cfe1831dae0189a2e585d17604c150", "b917e8b974dd96efcfd84e765d81a69c96d01107", "4b18303edf701e41a288da36f8f1ba129da67eb7", "d6a2f269e0772817eb7be7a7dd84fde8a821aaf5", "1cfe8c1d341dbf8cc43040b37ca3552385adb10b", "ed9f7c64c88c6d4acdfb27a0fcc4e67067cdeadb", "0fb03917b4c6ec8b840cecf25b5d3cd0c101fb98", "9a0c7a4652c49a177460b5d2fbbe1b2e6535e50a", "4508afd43a616e62627a5f5c6089bb3b3629518f", "49d76cef9a31d18eda22057cfc99f7eb9e25bc7c", "022c485c5617bbf0b7f40475f9758cddd11a91af", "592f14f4b12225fc691477a180a2a3226a5ef4f0", "bb030eaf7c25953369ee111dc1555f4f85409bb4", "98582edd6029c94844f5a40d246eaa86f74d8512", "be4f7679797777f2bc1fd6aad8af67cce5e5ce87", "a81cc726d1f73521de45a59c9f439a31bb341423", "f26097a1a479fb6f32b27a93f8f32609cfe30fdc", "3d62d6da226bbbe330bd715a33f433f16396f2ec", "2c9f1d0b39ede81a6a05ae015ca95f5aa3835684", "38abaa549c4f398079dc5b1e5957315f66918e23", "4024ca2514db910ca2bc666cbbee418a1e164229", "20a052963f2c46aff817f34a09c396c44b3e46da", "80bd795930837330e3ced199f5b9b75398336b87", "e427c8d3c1b616d319c8b5f233e725d4ebfd9768", "018e730f8947173e1140210d4d1760d05c9d3854", "094bf2413bbfca19992aa9950ffeb3a0a7497a82", "beb7a0329c3042c2ce63b5789e2581bb8e2dbbea", "6eeeb96350c676bbb9bf765851362e590e32eaed", "b051715249e47fa7e987e1a5504830af0521c38c", "dc84d3f29c52e6d296b5d457962c02074aa75d0f", "b8f09ff53e5a1700492100b8cd1b9e9783485376", "094357c1a2ba3fda22aa6dd9e496530d784e1721", "40614596ea5ae9ac78a88bed0419366831f9715e", "9fb90b8fc2439e89c83a661ba4a5ff0b4100252c", "4e13efc986655832e917f126856875da86de6792", "28744ee615d343e7372f3bd5006b7822c66261f6", "ab4d7c7bd1335ad608ae16920e459585b131696e", "42ecacbe2f2c2c1b209048d1a8c384995b178dd3", "57df27685196fad070bd2da14ed865fda87d93a9", "3c8d892649f91b5a7778dab0db751f6ffa0e3154", "2ab28b7ddcac3e1879d54d4fc83c5849b60acf79", "290fb91615adc208ff79764f04eabc74be36936c", "5b39c05009336851580571b7e08e59afaedae5f5", "09a99ca583b0eff0a34de32b4eed23d6d8ff14c2", "adaa47752ba813f0a11defa60949f052de6610be", "820b1349751d7e932b74c3de94b96557fa2534cf", "68a677a326a290a82bc08686465019414ebe1d98", "3c1e1961db0f0a351d5a4e21cd30bcbd9f88be57", "68ee4a2a4aecff38598cf99e72bc21a6ecbbcd1f", "a7fc39214fe447f650441d033401ca73b45c6633", "325d145af5f38943e469da6369ab26883a3fd69e", "607d8de7abdc85a75473493e37a001c6b061cabd", "073bcb3b1aed5cdf7bff4e9fe46a21175f42c877", "37d579112296384603c61150d8bf78fc588424f1", "a7b4291b1feebaed4a36808df2a17a3e452b9efa", "a8e2b2b1b76491336036005d81be57d256acdd0c", "09dbdc05f0f093ed71f6f29abbc516c58c75ad2a", "584f64a12382c74c72410bd46bd0d636697c94f8", "a84c039818d2abeba21f792c0522e9f75582518e", "12b29fd079e047f564e115e6106f750713eabe61", "131e00d1296a952ed236bc264dc16f7e486c6e79", "e0da17d5a8460ab74d4e8db338779feb2bb9fbbe", "04b559c0968751cc89980de3429c6bd10d6a1750", "d865c5e85191cfc0da714290d8583a2fb1179fd4", "39db629b96eda72a23a49d54f32689e0651ca4ae", "2e68f29f26f91985e0ad12b3229e46edefe1e871", "48d7d9cc8e7b1d2c64dd6ab718e1883356a4c5e6", "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "2c2f03edc9b76e5ac132b54b2e3313237e22b5e7", "d0296efc3c532269aaa7e8f856f5d1807af847fb", "75f9d3533f175943e33c9155f4038488f32a24bc", "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "366e650a578a3732ebe10267f04bcf9d3129f076", "8aeb3d5a097d33fc20efa046c0ed6cb886498d42", "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "1491d0938bb4183bd19f2fee3b61997e1918160d", "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7", "68573e296f069071d071fc158e974e8bc70c893f", "f7b422df567ce9813926461251517761e3e6cda0", "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "f519723238701849f1160d5a9cedebd31017da89", "4b9ec224949c79a980a5a66664d0ac6233c3d575", "10d6fe566125597195cf985084347139a8cdad1e", "71c4b8e1bb25ee80f4317411ea8180dae6499524", "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "ac12ba5bf81de83991210b4cd95b4ad048317681", "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "52ed30920f2f96970c4f79d6768436ed855dad42", "12d813f14166578dea8aa6aacc945102dddfd05d", "487668cc36443a67378f253afe05a550eda2c4f1", "d934eec76a2588934094098987de72bdf1214d48", "30def55b6277f1e636dfebe12799b12a1b3f48a2", "c380aa240ebcdb8bf2cad4f30bcef2390fada091", "29bd7de310438c2b9d8b6e7eb7df662079934747", "6d8a42dce4d79435c42bf8eefddbea0e38951f4e", "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "bca7d615cc143a255c0dc65235ba1acbac86ba32", "4b421db0f57608470ac1e26077ecb8a6cdccade5", "639a60373d3592bde75cd5b12ce07cbd6e6639d3", "db186bd2a276a574b2246e3e4d136f8a07c53ff2", "1131088237aacddcc078547b4455e8572c61766b", "0b83bfd13552b57fe551b6fcf088fdd3d6055854", "7d6132a884d2b154059c461e107c7a8c41603ef7", "041ac91c85276f61bec3f0f3c42782e4f9a31f88", "eda6da71c261df17b4b9da5e72aad7893a871a84", "4b0966b65a4854cea31c2078a3ceb21637dfb1fe", "9ec74521d03d41f4157a458513c79017dd066a38", "dfbf49ed66a9e48671964872c84f75d7f916c131", "62195ef7e2f56063f8a7e9fa27ffbdd1a5696b4e", "1cbf3b90065e8a410668ed914e9d03a94a4d94aa", "d67440791eb55e36ae1470cb37da7ebe8ba44214", "0b6c912b0c6beef4aea8cd7d0a265483caedb7c9", "7910d3a86e03f4c41fbbe8029fab115547be151b", "82729f984c514bd0a5157c28b75ff0236d609384", "e5bcbfd346121769b674a7ad35e594758de5553f", "81a51cd6ecd467abb1ef38c8e35bdf1885f96fe3", "35f84e0020c26715691825594e2cf5553467a0e4", "e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6", "e0e8c7145c9b389dad2f4e1982f2b9c31b766503", "cd4bab5d6845c2141c9b3b635d99dce1db446028", "2bac4161a928eb33e6be700ed8ea4d823494b22c", "64afa85b79c7ad60d8f3f9265259c654c03a01e8", "0cf333cab1a9ccf671cebf31b78180f863c1caa7", "d623428f02e80a689eb58d022237daeae2ae7b9c", "51fa0924576680490fab445bea7b8f4a649d8161", "351c7e6c2e2fd894626be20a480fa5749e016dc7", "87bba3f4292727091027b7888b5d8f364425344d", "35fe83665c61adb513781c7208b92706ae2a1578", "eb4edbec8cb122de07951e3cf54c33fc30dd1c19", "102c02bd78c2a4d9a028b779933ff2f164e1e927", "bcb12dd13426ec7aa4d480ef829fef798f0e374d", "1c42f8ab39e22225ffd3222baeba4863435220a0", "0744143542ffcb45b1ad83078c23efa9d3ec2be4", "601e0569028924cca9b5f1afbca6f52aa7212c39", "486f08c875e88b3f1f157e7de1ae2cf5176f5431", "6def88cbf839bdcb2a61b3fbc82ad393ae3e23a9", "f61b4aa14b052e143db302402cf976ee93cb4eee", "c92e701c908908bda407f12edf6984b283e8c258", "5cd11d6b6cb7a2b8c00fcb535879edbd6b008a01", "4fdbe95edb967bfc0b44f0fa291cd86b178fca2e", "84c8eb2db35f7fd38c906ced741e2c5470ba7544", "a2aa272b32c356ec9933b32ca5809c09f2d21b9f", "1373195c26eab581138579f7389cdf8b7a94a4bb", "9c59304a619b7d503be95bd560f90be976a5309a", "8ec76d7d4a9abd09f088fb3f7a3351a7fda1fde0", "d9fda0030ca349da7b1dafca015bea95a6aabea0", "26f25c552f0d82d2d774e66e57d337bebd197d24", "b648d73edd1a533decd22eec2e7722b96746ceae", "34510d3b68b23cc829c5435ac12a5041a8adc50a", "0612832338287cd6569cad32f147bed6df134223", "92d5fd4ef31cf86a650c7b01c26f0ac93304f98a", "7f1d7688c4923cab09bf0a548e6f1fc1dd916b51", "9d1940f843c448cc378214ff6bad3c1279b1911a", "91bd017c1b19c36e430a22929d8de3af0795dfa4", "f83e563288e5d7a54444bbcf28a28a37b72a0644", "dc16b42a64741df2881604f28788f421e422d297", "44bb6ccb3526bb38364550263bc608116910da32", "dc83f97a2dd241bf1a9f53ad11d8f10eeb4f5dd6", "15e6c983e74dcf70d8a557b75bdc172e36692191", "d8c04365ed0627a5043996cdd26c1a56b5a630b8", "96fdc0131dc80ffa6d7b9c526e07f080414c54ec", "251f0d28d62b2651b49eef4d044c0153f51030a0", "a97f3d2313affd35c889c57f2ebe21e7ba2b5bbb", "15292f380f5996f539f4d5e93dba3082d53338fb", "29f46586c95af2fa6326724c867aa88b55b5400e", "7793c7431f3ddce74fe2d444df614d8d8fd9af4a", "43b3dc931cd43a490de3206fd041e118e3651d8a", "b8969d6e5658b360111f33d3f85eac63afcd7252", "0874a262c2ec7082658cbfc55892ec6e5ca6a374", "ead1db02b36146ef5c3ef29a1cc411a8f01bc56b", "c64df6c368b09d61c8319718d7d538a58392b01f", "5c76da86238e35ba0c01d5c0419a7806b8e20789", "9717bd66ad50aedabaea0f3af784c7ba9643b686", "ced4853617ba6af27f5447f9c4de07c3e05e8c3b", "8a790c808c293cf5d8ca089e8963b133d1300712", "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "1bb737b69878e8e9ce6a5b6a3c87856521c7e9a0", "b11872621d9550ec2f1d09f2f02237182744e2ee", "11943efec248fcac57ff6913424e230d0a02e977", "e63f4867c73eff9ff7cdf31246585a6915acef57", "282578039c767f3d393529565cae6be56fda6242", "55ea407e4e5aa3f8b8ba7663abdf8926dcdafa19", "4b3c1af4369c9ed6714451643ef9c06969849e73", "3e7ffb5658cf99968633ede18785c5cfdd6aa9eb", "7fbdb1d05a34d28b7f93544248edf7a2e0b8cd15", "c1130d5c7bb1311e04cffbaf2bf6cbe734adc2ac", "6f4a671537c9e60f042808451ff0fc06032d1221", "24c6240c511f4daa7cf51e28b0a9fb15e365d4cc", "2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd", "a1d6c9a03075848014e9bd9baa6edda25e512963", "14d037b6c84df142a3f60e21a4afab834d947885", "76d8b370d0a8fc63ead6ba657dd438d7155d659f", "3f6a6050609ba205ec94b8af186a9dca60a8f65e", "92de2ed3805968d6d95da4fa9c44423ef50a6a37", "661be86559295d3b2cbabcd31cc90848f601f55c", "19bc52323383732c3c7d73e11726f6232515d2f9", "516668a41d6106232a7cd56d20d3b3da343e5f36", "1c557a18fd8f4f1052ff3f831a694bd50ceb6664", "b02342a423eef6e19f473eba26b067405b525f16", "63c7c8dff73ec6798e38ed7466a4f8ff8a87f879", "59d88030c99de99d18d16dd5ffab7c0bcf6ac58e", "b018f4ea4b46701103046c472468631cc28ab311", "97b54703c267deef8c86ab6240c24d76a59864e7", "c33289788ca69a55c7eefe6e672c82a0cac5a299", "cfc22c35ad191cf9d70f4a3655840748b0e1322c", "c72914e2e999c99753d1d0058c459af69af6662a", "147c33df99dd52502d65fe390ee45c585349b3b3", "8641593c67d87d81e528448a527e45fc9a5aa145", "7df103807902f45824329ab9b2a558b8baf950b2", "ea2e15492a0080b90b1fede934bf3eb7b50e472d", "5921d9a8e143b6d82a2722d9ee27bafa363475f0", "e564268a03b21fa092390db0c11ba1c33d2323f9", "fe43388bb2d939f2f9671b50dc0f47d8bc5ae6ed", "4d9d25e67ebabbfc0acd63798f1a260cb2c8a9bd", "d94395882da6da17cee0a6ea6f1058314f091f05", "c610888cadcf2aa45e7367f43e42eaa7a586652e", "f2b547b0bbda1478cbecbd5c184c3c42c3db7e3c", "87b763bdb23ed72e849f25a19879722dc2255ab1", "7f9cacb5fc126f87dbf53dd547a9fb9f58ded557", "120339e6ffb6748907d19bc918a743221e59372f", "d44647349c2a4e3705ff347532a159c3f92ab531", "84e3629b1c1c169125f777870e2009d8bcfdc2d7", "5ee220b6fb70a3d4d99be9d81d2c0e5de06ab3b9", "844568d9e49ec34536502bb8c66d5578c962abd6", "26d08a90848c8dba9e4e7c2adee6c38d713699d3", "8d94e72ebcbc8f93dc60eb42ac7058d6a94e8683", "a6a1a47c6cb2336c78f8424943eaf9f01bbf980f", "6ea6be2c270f7d366e9e93ced7ea5a17d3a24c1a", "5ff708d399962a07f77c9bbc0d5efda52aa6915e", "e21b1c10bee6a984971dcba414c22078dcfd21c2", "8f0c11a3332c434af11c01ee11ff7c492c7968da", "3f0126f467802562505d5f551dfb6bd138180268", "cb3010ae04bb144b49eb0c1061b695998d3a7441", "291dba3baa7d42f1e30b26a714e525cb73c05af1", "12f2325789febc95c9b453d12194bf4a778e60bd", "dc3cd4e110b526cb59bd7527d540120c5fae77ce", "ab134c9244c762f1429ccb7d737610d17d95f019", "cab372bc3824780cce20d9dd1c22d4df39ed081a", "3a13c964cc7adc5f010164ccb91d150457685a78", "6ef190ad2c9c6e11d12bc1b51a4c8a11a4692fb8", "8d7a55d184659ac97d02061a660ae4e30604185b", "e524f222a117890126bd9597934d0504adce85ec", "f79267b0f4c0110051c93f9faabe436215e4fc28", "0dab1ab19a44b73ce0fdd15014b635eb7362af3c", "ec29a0abcd80752674bc0404fedc2c1ec2c7341f", "90dcaeeed3cc5c6001a06e9fa674845a8fd471bd", "9d34280d545ac91031804931f4df7c31b6ab6011", "99c69fe118efbc47efc91ceaa3b2e711405eef20", "578e002828e5e106dd660c7273ebcb014e8068a6", "b18dad1d2d725ab6db64dbe678a033464915f074", "fac36fa1b809b71756c259f2c5db20add0cb0da0", "6973c343a4a59476d57251651551286d4bd55d58", "c5ab6895710b5eb7bb783456421dab70684c017c", "3b73f8a2b39751efb7d7b396bf825af2aaadee24", "c2353b9cb7cea1081ca203f8c623b12f7007ba9d", "6729fec79b6cb472b4326745a67c6dde5772ed95", "850c5d1f97eee47a1fdaefc0894b52e51a3145fc", "384887c893c72f1bb19075f03e20490ab003c791", "927b52d5caa2a38abadea5be6b531c1aa03d99e0", "fde6d64175c459a26037a249e31c34cc0c9e3f7a", "edf074a5eb3a1f71cc710ccc42849dceb27e3531", "ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835", "57680f0d53392178bb3c431e03bcd8626c12f620", "d1c091bf9402f1caf13892a3fae39326507401be", "479fa087bdffcd574470801f76eef9faafe589f5", "6e6724b247d452f3756d2ed5fcb76980f50066d1", "5f50b2c187718e3ecba68a1eee492f6f1a0c3355", "5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e", "3947371c9376c8f8d18470f8ad8b91c1925397e2", "8dfdfcc3f34263779871d023fad973f4a1966ec0", "825bfa844e4493f205f66782c6ca68aa69018d9c", "d84e075d571193bc616218a84951375e63ab20c8", "1ba4d5d3b0cb46d61f23279f70ae42735601a60c", "fe3f495aed57ccf889d2a42de528da5bcb94e36f", "703f8f9ed65ab87e67716cbfbee0e323aed5b9f5", "633f4e4d1e29d336a5472a9cf43163fdceafecfa", "724a493411b7c5a904445406d3037df4a22b6c89", "4b4763303a15a4c6313bfb386756437f394a0129", "b2e2260b8d811948e71898d3adfa8aa6b64fe125", "8ca0a7f2e5a7b1676f9a409c3ed5749c8a569b83", "ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa", "f408ee71b9db38ec1b1b785057d50d6e0d9b30ba", "9015fd773526e21e352037663de3f586ccf4e907", "f6149fc5b39fa6b33220ccee32a8ee3f6bbcaf4a", "45481d31c19986eb5cbaf6bda54362efb2fb7203", "5f88bd922959590e0dd66d71519bdae75485e994", "2cc6e67be5c4acd451fe3e1aeddc4d1a0ad051d6", "32f0c95cee39eba143452d6a0fe93283575257e6", "e20b53bce9198baf7cef711efe9c1060b9ac07e0", "0b6406bb39bd18814ba5445d815b5e49757cfa03", "de87a5d5fbae0733806ba965b2d70fd04596f6e9", "950cfcbaafad1e2aaae43728fe499d8a4c90f6ec", "dddfc10d9649a936cc440c1f3590b14e51a81daa", "55c22f9c8f76b40793a8473248873f726abd8ce9", "baff74e4a9880d7477799822d8e68224466f3e76", "e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe", "023da8828f9c039c20ac9267a6b37813b74d4824", "1ad823bf77c691f1d2b572799f8a8c572d941118", "5578be51e09379061f526e8d0fee65e3613eee8a", "ae587a4a8842fbe01b9a043b66f762a89dca5074", "05929f5a20147fe4349b6fe76819c023e53ad8f6", "8948e9dce2dfaeb1d93ce146fab5364b6cd342c9", "12cecce5e5bd53212830cb0b8f5cc593a58c215e", "af053b8cf39612cec0148e14a9c4b7a789d7db11", "ca6b78e3d12134e12305fa4bcdf050ac102781df", "8f0b2d24dab016764eebeaa2070d31801948f6f5", "eaaec63bb86ee87d56f5844951143485ce84a4ea", "90943f17cb224c287d1bf117441781d43d2f9b49", "6a9e240e5d84b33c0835cd85c96c70ad5ffdc49c", "3a28fe49e7a856ddd60d134696a891ed7bca5962", "4910c4d7eea372034339f21141550f6d7cb28665", "20380acea8e7fb3819f994b3e6dcfcc3839d0b96", "8c5fa29c9bcab3d518fdf355e9da62fb0b58905e", "d8af6a45eaea68adda8597ae65f91ece152f7b21", "6a553f7ef42000001f407e95f4955e7ddde46a83", "916e217426eb1c56be2a74cb2a3b50cf3904a5cd", "8de026cf8a9a82d55743aaa4ec18c86029fda096", "92574a72c660a86a7ded738a1350851f416bec03", "b1edff56936e5d306e51479142b98cc2414c1a56", "6cd7a47bbba11a994cd8e68ee5eae2fcb0033054", "e1e1b3683ac278386cf1569e97f9aced0923f4a0", "6ce1a8240b0eba18c40136370e143209dec4a5a7", "576372383bfd6ce6944d885e60b19151efdffc99", "66b37797286952e7735901e152b4cdea171e8567", "463bfb0b55c085cda77c2c6e1583abb64baa5d0a", "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "d2c9f842ed2e36b14b9ea2bb2253159cf5c495ed", "c64da9bbdc9942decc4566f89e13d991a6303683", "a89e1fc2681a9a399cc5008ea34b5ec3fe7ca845", "564065591bbefa36830f99cca6110818f252e5f6", "05f988ce9a92436f194a8e06ba21b6a62a3aeef8", "02c44e0a7bb179be03601a7abedb006a28ad4e23", "277bfd1bc89044b4a523ef23f48bd053d5560657", "cb2bbc19ba323ac8a7d0530fb605462c8e608e1d", "aeabcbdff7ab810b961a9f7e4399b6c0421d00cd", "0f22005f8f2bc134f02c4a76cde30349e3389b8d", "1957956856dc04ebee5815bd62874687e2af7260", "22115fc69c612832a39187f3f1b3fc6fd9c9084c", "b61fd19071b887e7f7b91c1473af9fc653a560d7", "79d50641eec7fbb6588909f96aeaef4a7b42c9e9", "2c797d2daefba6cfceb8510219163dc7dcfa0a66", "fd070be9327291e229d3149ec60388dd4dbf74b1", "40932ccdd7cda22e90c1e16b4a4dc4930b122a9c", "9c03db9ad53be4862625256a24f56cc7b0a79c23", "264dcfb5be3f89dc0950472a2a274ef7b641b1af", "bb980dd94463b03c6584513bcccf780e43f089b2", "28b8d20162f007eab1acd9d7cdb8baac914de820", "99e1fd6a378209d48c12a70229e4f6d4d83f4417", "877aff9bd05de7e9d82587b0e6f1cda28fd33171", "02e9f1bb203a5ade98308eaff4f6a5c96a2c11e0", "429961112a9b4f08f6b68acce8868b3468d72c6e", "030ff7012b92b805a60976f8dbd6a08c1cecebe6", "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "de8a01d36df1c3a881523c3748fcfa988710fa15", "9c07704226e536834c4a8c01e1eb428584bacec6", "def3b2254caea169c5cbc4b771c44f1773c004fd", "c34ec5dd51880acf72336e85e4e45da5fcfc75f4", "daf74c34f7da0695b154f645c8b78a7397a98f16", "9c2aea0bd67c7fe232cca54ee2440b9d666479ea", "9534a04de5e99a44df76ea30140f66a62e83fdaa", "0a40415bdfe4bc9ef7e019e4f1442a9fb61f58b2", "eadf6cb8f16c507e4a73db33da201cde3d9b2f5a", "512f7507034e35d7259845bc5e4e174ef2f652cf", "98bda8768fd4a384695ecc736876a87f51c4ca0e", "cb4fc4d49783f2049c48a062169f04eb744443ec", "aee79e0ba67506f1908e88463f1904a8c056cbc2", "84c01c9760cd294718bd7c4b4c93596db1e5e068", "35c473bae9d146072625cc3d452c8f6b84c8cc47", "237734e3fd3abab005b0b97d61416ee16105f902", "367231b80e8201fc9c461fbb42047b20e89ea961", "c01876292b5d1ce6e746fd2e2053453847905bb2", "93dce341666b6a57f8888dddb25a3fd37df69b02", "6e40b120bf46807ef28ebdd8860e3109708bb888", "90ce797fd1218768737f1611cf830a70266e60f4", "0d130b5536bb1b909ff9a62737d768d4b4fab2f6", "699a7c88a6d226f59c7a5619b3cfad714415c31a", "3896fba68bac1d13478e4b8c48c353a44c958ee1", "7cee2a2bee27657e6599b13f9ed6536d5f46fd0a", "16022bcba6849cdbcf5866a075daa8e24c218c13", "658c802890c7133e2ade778b5d88b68bcd0dca9c", "2ca4934e250810f20cd6beb5c131301ac4b54cf3", "072fd0b8d471f183da0ca9880379b3bb29031b6a", "7954a1bd6e693da8f2ae69ad01233e937d600e9b", "c92f26b4a7116ab923e84e351662d1c8a6048b47", "a343bc9239a209af45c43f94b86651fd0074a364", "d6eda0c16d226976506396653d14044c185eaf3e", "4b69bbb6dc2959ea3d2e911ed45c6298dc531490", "90e994a802a0038f24c8e3735d7619ebb40e6e93", "242dc739b7cc49a7f54967a7d75d8a82f92bef59", "d3c1612ae08241dadf6abd650663f4f9351abaf9", "81eb9fca9093f58eabb8850512f8f46fe2bb07a2", "cba8b9949e71ff485a4ecba33128e2f206651cac", "74f17647637fe068e237d8d5a8cc37e081ec03d0", "d0d1a18469bd41b9464b393b56d209d53869bd77", "ac88405d34b7b6fa701e25d9fbdb56126cc9a8c3", "3d69d634f79dfcc717e18f73c886b854a157a3ef", "86cdc6ae46f53ac86b9e0ace2763c5fe15633055", "8cb3e0c4ad37dd7e0abd2eedd704d4d27edb0a17", "9b2553d375c27d3b5c5a91ea4f0fc0e083ca8d77", "322a7dad274f440a92548faa8f2b2be666b2d01f", "cee8ad964ff20dd5ff6c10c783ee271a7222987e", "77543f169cf1c9ef8707e54258c35568c7ad8250", "aa7e7637f3443a823ee799a560ab84103b0e9a7f", "eebe66c4d1a41b3c7830846306044c8f3fe0d350", "e8af37ac6e0a5b7f04b6824bb1f74e4f363b99b5", "060797f33c242b568189be251f9735afdc4c9f22", "741e2682b45a3dccab341cf272312a3c75c4b49a", "0b90cd2e8abd6b23e7f8133f02e3e6d121cf4903", "6f640d448f00321b9b3bddb3a787cacd2f45cd1a", "06a2a3c6d44ab5572df55ce34d9b1216bc685385", "b288a369c6f05443cb794048065b7a86139733d3", "07b358a22cbfba084189d287ba1ba50055c3cd09", "1cd9dba357e05c9be0407dc5d477fd528cfeb79b", "7363cc7e0c5b43ec12ba47bca587a325f719398a", "4c4454aa7a2a244c678f507a982fe8827ba419bb", "18d19cf4d09ac340428d091b24af561a3d5de3ea", "3bf1a5164e4bf751f0101e177074d2cf2fd54c95", "83ef7de2669bb2827208fd3a64ac910e276fbdb4", "267595dd40cd109c93e67874a1cf49ce79871f3a", "5ef2be1aadd2f666756b2ab66bc05d146ba0681b", "f4f0eeb4321eacc723e750ad27bf4a9401f1bde0", "d7173d9dc87234211050f2d2c38ddc78306ac1ef", "33e7bc26047de3c1b607f04a644c2c03920201fd", "c7756864268459069a59c2276cf482377d5f997a", "f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb", "3a2d3514b5cdccdb4c13aadb3929f3a78c03f020", "5f0dffd4f36394c92b26a1ee7b185ea4b3be58fd", "c95cd791ad0cb0a08cb39e987f725eabe3a08648", "c9e4e1bb544a892fe07c99cc9a999f0762237cc3", "03c6a002268c066fd6947452533e6b316f8576a6", "11f73583ba373487967225ae4797d723ff367c1c", "0c1531a2fa4d6a270b9a09cde86bb0669f5975ff", "8a7882f765822ecc1f72610277037228c24e7bf7", "d951ff5f378b2a5f878423029123ad6b3491b444", "483351de2bdf58e21bf8a68a5d75e79a025956d6", "2690264001ccd4b682b7b4c0334c80af6f5e9c9c", "948853c269cf97251ba5082db0481ce6f96cf886", "b56e4f61bfd6da098941d2aee8a3ab1221ce834a", "eb65354fe51a177b2366f8d10b8140912e883d62", "3ad2b6c283b1c4687c4f782efb64a209d3cf4cfe", "17bc977c47562210d54966ce412804b237b1d763", "47f8ba44fde1f8a3a621b20cabb7e84515fb8313", "551fedfeaf55e3f7a7cf19d2b21f1a56f8cbe9f6", "fcd9df8238605f70a54492fb0c6bdc9f29afda98", "a49b661e42aea6f205e543a80106fc9c6ff0f9d4", "c867caf3f29abb2f3fd5c4c7e98e5f551a70be25", "79443a311d75fc0187314d21f8b065b33e5b41cd", "455943924a98593655ae7197ee3835b9f6a3b778", "23231becd8ca7bd3f1f10660e1709554a21c64bf", "05a2547d976420f7d1de19907e16280d15199008", "3303f6694fa1c48afbd6e104b72e98b7f52b1651", "7b35e6b9bb6575eddd5d4598481007c154f2bf9a", "0beaf17d42b1171dd245131825d2de67000f45ac", "c08b098c1c2b44bb1080f50cf605f451972dc52c", "20e903faf8e2e656a89d983541b15f2e0d614eeb", "ff1a958cabb2aa10cc947a90960da4a971720db1", "42854a0175d866f190378a3034406e11cd160568", "4753a125469da7649e9f58fb0db781622dff41f8", "f439f9a0bd535eab00cbb93c1fa7083615a08d1a", "2f0c30d6970da9ee9cf957350d9fa1025a1becb4", "3ba5e820f160dfd02544120ab6c1678421fb2c3b", "d014011b24c62d5b689c782c09b89c52970f46e7", "2b79da19774861621b6a9d0c769f95d33e5b6eb6", "5e525d319af3739ccb205a890d0eb8bbed811d20", "f174b24860b4cacbe047d3a5650cf8866d2244d9", "fe2f404a7345ca414b07cb1301656ce18e629207", "74ce7e5e677a4925489897665c152a352c49d0a2", "0d5fa5be4bfe085de8f88dbee1c3b2a6e5ab9ee2", "031716b430e4256c09d5b3559ca9f0be51cb30b6", "37bb9b45c6385789b819573b3716fe56a9e627db", "682f735ef796370f510218eb7afb4d2a36cd1256", "e2658c545d0b8033ea1d7a775a4ae18f56b3bcc7", "00732bed67ca05a601afe8376b5121545d5c7450", "66c792b7e9946f8cb92fac185267d03371437451", "64b06918add69292c088455b62c4b0f06c727b1b", "3910b1cc849f999dc8a2c02a0313be32dd5d2b43", "079e20d0d870a5bade46cc9b4338a3d637399654", "95593fb20df8ce1273cebe0690cf2cdab054b9b5", "75827a2021ac2ad2256144b2a2fe301948d39b51", "22ef6475b220356f8547e9980c437f55ac2ad45c", "47c0c7f1a27d467e00a6fa7ea2ca0af2e3328b9e", "95bc6f4ff5033a091b6ddc6a4290a58c7e6ddc66", "62b72fcf996f6351b67ae57653c5d0f3a03d3599", "d67277eb00d58d20eaa18c346761fe4eeaab9c49", "1b7b95ee13d91e9c768de6417a8919f2a3384599", "649d0aa1be51cc545de52fc584640501efdcf68b", "830b48f210f3905117b335e305166df4ec092b8b", "98a6f2145a358cb2e54eddc99dd29911764bce0e", "6f41e2ba877ec690bd1c9e5e8742c4088f95c346", "0c03bb741972c99b71d8d733b92e5fa9430cbede", "cb4418b5bddaaceb92caea9e72c8cc528ce4e3cc", "f65c03004e3b2ef4b4224396f7a31ee75a252d85", "6e396401b3950eccdaf8265aeae8a4f0da8965a0", "af3d8552d31843136acc8eae994842c0cd5262b5", "4d653b19ce1c7cba79fc2f11271fb90f7744c95c", "4189aa74550c1761dd5927442d0a98ff3d3d1134", "d8a489e5cd8a7ca5faf646533263b46ea462a105", "998f2cfb4a3bac6b38d8a4a96a3827e06a0eaadb", "a7a66d713776e78ae60617eee2715443a8565a23", "ea3b13e512c846e2bb29d99f5f97fcf8c7f52836", "09d08e543a9b2fc350cb37e47eb087935c12be16", "e10662a59b5f8e1f5684409023f11ca727647320", "5849635e61ed7d6358f65f5a228a5148e4fea3b8", "dd54255065cf93895661c40073cdd031af7dd7e8", "feb4bcd20de6ce4f9503ef01c87390e662538c15", "27bcdd21f1be3d0990f86a231d29d46a5537e5cd", "833c1c0180ca36ea07ecfe44caf2b739c94f511e", "d1503151b39038a87acbd9ecce073ddc211a597d", "78c4061ac15acfcbd932a159e9c00116bed7f362", "5e3c8cd50301a13ad53a3fc9e3567ede63a76215", "a070eaf54e5f1f0980a3820477fe97fb8b1d80c7", "92d1e292c00cb307fd5ad074b5c172aabf052ae2", "7fd97bc23c85213b8b2e4d28264f04ce6dc84e74", "30f113d985d876a3974838b2ead49a069b474e57", "2869d03482eca973a0d2640545e657428d05185f", "f3dab33e5f00e80ed4ce97d3443e96eb0ee96301", "48cfb97dbbc324d9f98effa5a7e07665f62080c3", "d809c0ab068861c139a544e5d8eeaa73cc8a3f6b", "77b77d9f42b51c481d7de37fa2faf7baad6c7fa7", "9c6ff9a0977284ce08ebccc96b400620be3ba486", "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "243778aefb3c23d6774309c70217cb83f7204915", "951092e30c5188e6dc925264f580316639eba699", "3ee096aff93ab9a2374cdde06973db1996331d86", "da1049ae56eaca2e7d65946cf87b1e504d9fcb70", "5ff64afd70434b12e043ff39a91271eab6391124", "1d5fe82303712a70c1d231ead2ee03f042d8ad70", "4ee9efbeb26f684557fd8d39afc8e90e9958a495", "33d682c52eb24875c556ec007bc38068d3e682c0", "8529c0b98ab4f6eb21715a54395420988dd69633", "3f60b1f800178841f4e0ecb79b64fe60b48ed03b", "7d52c9da079a4929faa0b39d8acb92240eb3a1f4", "0cbefba0f41982bdff091d0e5f0d5ef93185a55c", "8dc10cb0c8f6e449c22bb11399aa886d850fc701", "7e1bb3a908f6bcd3ba09b2d48f559536e3034d88", "6dd3a95bd46e3ab9c3f649a2034bf5ddba19c710", "85feb069aa605caf378d030754c478478729c0a2", "9a23a0402ae68cc6ea2fe0092b6ec2d40f667adb", "f375bc91a5f7b1f2d36e41841ccc22f202be2dcf", "67598e0b447294ad7414b8c73819c7ff395eb63e", "c72e13581cc69ab9cf59fb3d41015a67de68306e", "8670fea0d92c6a0e767d089083a39d5896db8534", "f43327075c17e71ee713ad727aa473230a432a90", "adc2a323af5f8be790b7fe5ded8b5b276f0a1b31", "2b3fe9a0356eaf50f1340dda3f3d14f6904905ec", "53819049f41998a5a1587dfccccc2db8612b45af", "484c4eec34e985d8ca0c20bf83efc56881180709", "ecb08081539711766acec0d252da13be716ecae3", "a62cbd84251d325ea9e91642a9b37f3026cd3e20", "cb985b696085fdfdc664c74114b841d58382397c", "43694e7d5861a8bc8aa5884dba3efe2d387511c6", "174cd8e98f17b3f5bda1c8e16cb39e3dec800f74", "a3fdba7975494c34552b33cf839f21d62734e6f0", "c7391b43bd0216daf697fb77906b76c71f5c50e2", "ede3af38e30ca332af0c1ce3bd5144070f7fb7f3", "53cf087dbcbe0c4b145297fb0a32732ab2b18b66", "8bd59b6111c21ca9f133b2ac9f0a8b102e344076", "ac392dba43796a25c2eee5f08671537634a77029", "494e736c05ddf500830e9c51b5fb42be9b9bff1a", "21b58c8aba44c173493e418a797a1f36c6dae8a9", "bfebba8356c5d20dc6a9b2f72ff66adaf63321b7", "1e1dc91c2ac3ad0ae44941e711aed193231c3335", "6faab65a009b36ee3f79d3e4afdf3cc84d57cd67", "5b79ae0d1fd60d61d1b7e37ffe499f50088554c0", "6b9f23d75f7f85af831e15769a33b8f8d90367d0", "d40bd8d44fe78952769a9bb04fe74ce38ef07534", "8ec6a93973daffd3ab8ac70bdb902b3136bc8e87", "144d19b3f820c96b7816842356dadebf16678a8e", "e1140b86c64549cbcd138f868c82ee8aad77d103", "93b623ffb25fc32898f3c876c9aba0f5ec22d3ac", "8d879f4aa3284aca8d671d8360c6b6f2f0f07a23", "d0096742f59b9361eb0454a69c9afb0ad6574d96", "1b74479f6e597a33703a63161527d55cc5d3096f", "920ac5a925193d82a9aad4d976de295b75d2df23", "000f90380d768a85e2316225854fc377c079b5c4", "63fd747875052931aed46a37c6da7d7ebb7768ec", "d5579b2708a1c713e1b2feb8646533ce26085a3a", "c7752341b28a0ff96e8b63986afc669fada6cd50", "abb7c66487009ea20967b9c6708f660fd4197bbb", "0c493914e4a961c859b0a4435cadde02cfd56fef", "ccb27d726c0b799e800a63eac18a33bf262852aa", "4f19d33e808a6675f11fb624499d303368deafa1", "5bf9493564d1ed173aee4dc701d4e62d5f926fe3", "9594cc518db7890c3f20073525e9a335b2049e02", "28f53ec7732299fa946ed3fc27bf691a6ab5c60c", "040eb316cec08b36ae0b57fede86043ee0526686", "2aa362740ac9a2b304a74122da820e3829689842", "acfb90f474209f56455c4d1ae60d524d8c4c9df8", "12feba45b219f129b5f12c16b5ffb5c1687b66e0", "5da9a5367bd70c004ad9b7e8cee95059490e33fc", "a33f155fa0e886eb4746fbe6aa8ad8f334929648", "2f21c68ff9fbd82a3241f79f985ec7e1dcdac41a", "de99971e61613f174c9e5aa41a2c600399f59953", "da1e0b9e445493d3e6dc0e3c23be194228c5d796", "3a888bf996bcac3feb7e130543df9ec8287db515", "b9e6f9e22134d4b5ac66fbf2ec7b7b702c6f4eb7", "987c9a137d638f3d561c52b6dd0f987734ad5460", "6a7462ac7e82dae50251ff97ffea3777f2ea81d8", "5f94e354faeba1d330088b926d1f7886067bc93f", "dc093a8975f97c5c1f18550cf7298982b0c5cdfd", "3ab5d67310aa3592b68e9ef55df4603507d0d486", "b81a5b676e5e8eee7dc99d5319ecb963f22d05c5", "b701f11ecf5d465c7d5c427914db2ad8c97bb8a9", "a6161e53d77d7cbd6e69d1b84e6d03d7041cb93e", "e8b616e244c6f51d925751a6fe2f11e488f986b7", "f4331705d8e7180455fb865436bfb34c08ed6d50", "965f7202890cc64594ebeaaeb7dcd5420709c55f", "c02dbf756b9e9e2bed37cb7d295529397cad616a", "fe01e1099dc2ce02158de607be993f9fc8aade57", "027beed800f7d5e20194caf6d689345045e8d0d4", "cb422f464e849272d92b8f2fc3c5605a71c98e54", "874082164d9ab9fced08b9890c009b91a2e846f1", "e45bcda905b897513f4cff9e5c0a5bf475674a02", "6d500b0c342c1cf23efff049ef121bcf5e606ea1", "7b79a754a8583f887857c539895a9dda6331ca2e", "56cf859363f1b5231418b40b957a9132a78ea546", "2504b7bddd1892bc905fc5df6b5afc0b109ef40e", "28446fa9d9ac0468cc715594a6dcc0ac5d9288a5", "239d2cc391e51bd6c65944bb3f3b48f1f3681877", "da013b84a93cc89d78f2d9a346fc275e3c159565", "06d4f3b135ffb69c2e3ba10544ed1e7d684761bb", "8a1294d2093b7f339e3d33da46e008aca3528893", "d979dbc55f73304a5d839079c070062e0b3ddbc5", "fb6bcf5763fe7ec7366f5991400090fa503613a7", "30caeca74168cd841759cef951c947f44ef0f547", "0baed6e8b8d5456980f2c9f64b6f566872c778be", "1b7a0fffb5ee96adece2f6079f5e9ab79c3bc50e", "d80a794320836120bab46b467118c65fd6693f57", "0f12c93d685ec82d23f2c43d555e7687f80e5b7c", "3ef85a078a688615c61f04d8605ae27e17f554dd", "a5006c29b0609296b5c1368ff1113eeb12b119ad", "7b45aa509184b05064eafb362f80ba5778566a4e", "7ff83f10e49e81ce6f66270e8f3f42dd2c6eb3ed", "d444e010049944c1b3438c9a25ae09b292b17371", "56b9c6efe0322f0087d2f82b52129cc6b41ab356", "7a39a3ca168dfebb2e2d55b3fca0f750b32896da", "3aee6a6285869e6db48ad269eb110b542ad23c93", "0b5e4ac8a04c0ffd0f9045901525201db03c789d", "ce13682b1771c221f0e0ed36da1cc3aaddc52188", "0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7", "e60a7fc13b41c76f45107e03ceb850e413c7b4b0", "531b211d4cbe766e0b86c4bb6f24e924494360c5", "b05faf0ae510cbd7510a6242aafdda7de3088282", "1574abc94d22b03f8c9630f0eb7ad1f8ed67880e", "97104def2b92b430c02f595d7802f9ba23b74cc7", "dc3d7128e15ed8d97f9b29021216fc1d4053fbaa", "c348118690d2e6544ec1e68f904dbf9e5b6397bd", "6957baa0db5576997aef9de43b93fe8fd4d07632", "1ec59aece51a698bce34f393cf6474b926fd89ad", "bed8a74e75ed96868ce81ed1080433ef5be66a52", "a3ed080262f130051d2a02e846f5d227a440b294", "e2b615e3b78aa18c293e7f03eb96591ccb721b55", "b55853483873d3947e8c962f1152128059369d93", "28eceb438da0b841bbd3d02684dbfa263838ed60", "f7580def2dd84a6a083188aadd9c66c99925860b", "4b3f47e3b8f62b8b5460c85c623e1d7e0b189706", "f6ff469fc4b3043530f64e8642ed822d119b42c9", "d6d7a248b1f59981277121b9c0626ee8d5495757", "295d978cf47c873936ad774169cac651ea5f3c96", "2a86bc520586f611771c2052b50ac52239414dd2", "a36f8947c7e33f73157d3ffb0660776403fc197c", "72e8010136460340683a52c2aee4edaee0b48559", "b72c72e2c3d140c3064eae3aff17e0c0c177c963", "1172ce24f6e9242b9c26c84c6aa89a72ed8203d0", "6e647a430d603f4d82e44b4a87de580a0fcaec88", "13631379de6487fd0571e5919f4efb65d16c1633", "84968d6488e87c99b8560ab33110a5bf85aa5761", "e669c2fe2051648aeafa806bc10b380d5b99dbe3", "8ab450081c04e5587002e9c965d144958cd404be", "2a06341b40b3fd27483b2a8d8cbf86fddf45e423", "7c38572093b0d0ef72d828f59f95b3a6a067fe27", "79ef25ed4863311000975b955651c0515fe38f45", "8c04688425fa3e03c24d08b09faad49e33f2cc30", "a1653e88be986aee2f37792c3fb05f0ee7fbef94", "d4ea53af07a40dbb624ceabfb35de30638e3ac13", "e939fb6b762de242b22e295940e0d9d7d259e442", "1d455f918062f66e86ed53cf258284abd6abd8fc", "1d21ec277d2a72e506a9665f19ec5478dbedc20f", "c4d4498189f147ea1559b5cf097fdbccebc4dceb", "4cfdd0c8313ac4f92845dcd658115beb115b97ce", "72ef0ac03d3043bf664ca7c21abafc4191b24557", "638afad8ab360d3afdfeec4acad02b4406714e38", "fe6409e8e09d47758d4e71981ad951423bdce212", "ad7a7f70e460d4067d7170bcc0f1ea62eedd7234", "39675124e4fe1be08f42bdd2e1e237e5a87839ba", "46149723fef89d3b04019b4f62e4c0ceff7c76a0", "a3bf7248e38ed6f9456f0f309b36470c5c0dabd0", "0949548b95e225dcb0ab88ba21f385ac6b5d81ae", "44ae568a8cafbd4f4d495bf612bd6bb5c5116425", "0de0c329e07ffb91d100424259a4a18973d731a9", "548bc4203770450c21133bfb72c58f5fae0fbdf2", "f91e069b2e67801f54ec05a1265fc707a65feb37", "2cf6d4a3481b7ec40b704472017493ec17565e6f", "af8181d0394118638c1e140051d9c590617b7724", "7caca02d3c61271d22c43580677acb6d52b23503", "d6a4a34829b3b55497210ddbe88ad63ff801faae", "5f642f76d3503547d517790fdb5ef8d34f0e23ac", "be993d793e393127e3fb34d27fda255894edaedc", "cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe", "5d0e11844f1a210f16025e990de938f6732672ab", "d7c659ce0442bf1047e7d2e942837b18105f6f47", "368132f8dfcbd6e857dfc1b7dce2ab91bd9648ad", "9be696618cfcea90879747a8512f21b10cceac48", "0f9bd0d528603654de2687d3ae2472a522607ee3", "d8d13c540c326d45824073c32499590d7cfb291e", "d291befa3249b49d57e6bb5abc643ce6d728f7dd", "48c5eef4ef5ea4035bc0429e773c38ced7151157", "15623fe8875a36cac5283ff2f08cd50998599725", "ee82b4ecfc16070177fb78b8befc95121ff35419", "c20148703a706d5883d323c3386978714fe1508d", "9d9166e1d9e80bbe772423384af53a3d5da898ae", "b242124e3bf1ebfc57b5279d4d75ade924a5d1e3", "fb2379346def4846ac24bc41349e7cac7c1e7243", "e01058388d139e027482a7d89a2997606f7ef4fd", "18a4399b8afb460cbd4de2225f39ed23a95336d6", "7158179c1cc56edb32a2da3a139a168592bbd260", "32c801cb7fbeb742edfd94cccfca4934baec71da", "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "4b399e0d8153e842739e8b7401353209ce02b79f", "427d6d9bc05b07c85fc6b2e52f12132f79a28f6c", "ee89b903af1d8f26a8894a3773915c74f038883e", "681a1b6c72af33e91e6b7f82994482b2076c6d59", "aa892a303aac532ccec34ba0e741092df97fdb9b", "9185db7ba8375311879d506562a7c8e89f34ff82", "7174e77f8e26aef3105996512b787b336320d46f", "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "2ab8a7654f943c9d19e02eee0b2ce3b12d6bc3c1", "90aa891d181d918aafdf1a29d8620bc7859294b5", "663981cfc5fc843ec2682b77ae427ac351bc2180", "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "18ddef5e311b62adf5d037a240324f569bbfd248", "49a690f5dacf8b6cae7f2a1c4ef2052042d6c729", "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "d2df6e68a686ecc95a1e44505379db005f83ab18", "8c4be5f5ff36bb326ae4325d2ed79a18a0296107", "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "e27680dea38b7a0272042a82577eb58eb552785c", "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "fb6745ecbe69aac73ff6353dbf781c588c55a7ff", "fd645edffb18e76d89b9efe02bc0b76163de2261", "2060d46b178719080d51bccb150a3f8f227807ce", "5882e62866fe1fcf7f8458e0bd0bcb39057afce3", "21c0bb96f989d2e5a61b48f1b88627763647b79d", "a507ee57e0e2e2834bab1ff7d218d3afb3634f2a", "d57279d90f7f5278ac56974485810865cdb1446d", "46f5bb35ea99c62320199b1f0924a4e7c0b001d3", "a65b93c01518755291e19a0545c1a3d20e401c0a", "c298134646049f72b1a8732ec6594a34f6311660", "d656078f3ce43ec5ec645ccfbd0af483c9669b10", "9c889616034adce2af05d74eac44cf43a8106468", "1e99c95ea015a0639448fdf60f9694fed5464500", "830466596c0908399760f2009a09ce605e3121c9", "6ede463b08327c61eab9c1a2bb73204e188e850a", "5ece646d13786df1d84ff8eb2bfbc736dd337378", "6c182ec9bd85cf61b01c90955c81d71926b0198a", "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "3bf66814817f582510e0f0a717112b78aca075a0", "5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985", "1810a716546622d138f3715bd4d3a425ea58c8b7", "504a4056692eba25e732717a3181ff73a5c7ec45", "fa634d2194974f52bff30e2ffab81c3f97c49b57", "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "bba153ebdf11e6fb8716e35749c671ac96c14176", "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "2e6c3557cb90f472e6798fcaa8ecc9dff3557f11", "4c02d6874a761182f3776a5a04142e713cd939fa", "b9305c065b3c95fd0844d16a09fb9cc7c321cf58", "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "139f8dea90ed4b535aea4ae03211ca948fe34acd", "8861eb32367e6b227fafc21cee87f70189348c26", "aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b", "9fa796a11bbcc50fd20796701a123177cbd59ca5", "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "71b6057016b7da02e454fcc42f270ec040b488cd", "c936b9a958a67cdd5665b923569d9d786c934029", "ae47e73c25755427c9f5904425a35d7db737829b", "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "806d7b97c3535a3c62ce243fe7008149062d14c1", "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "09c9a70a95d1e663e9f718c095f0ef59a877c152", "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "a3dab83995f27ec8d09cbc06fe815ade88232d10", "1e0fc2e5537db53080ec9a875df614dd8018c873", "ba1072f692840c6e3c6c506f164b741c22a27a68", "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "c05f9e4979cb33090db984226ff3cff6e2dc1950", "9713e87734046cb7a2d040d71fa35cf93472ea80", "03799d5eb1de8141db27856758a2f72436fcc926", "2faccc93b7bf66ec8764ed3293849bed1bdbf115", "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "2bf53442826052dcf1f3e8f2b231eaf164ddfe3c", "e9bfde4d9898a886c340e5ce4337c2969207990e", "6965de4410921cff014a48b071f2c4c52c1da0fd", "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "5101de7052206087dc256660d72cb05d0553b24c", "216bf8374a6fd745e623750583bb2ffbae6e7edd", "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "0012d023347d01b791e7753f4f58567a5d480f7f", "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "4543845adcb6135f263cbf6c2813d10464199d52", "133d9795a89a681c9f6db6a0244e8975992d968a", "9c101af0cbee452a8f85ff89be0d4525daf3736b", "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "f9e21549678feea9129112feba7ab5b702abbded", "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "f8e55d0bb896d93385b590c13c5702b63b41d489", "1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9", "4bfaf3d14625cf020e65fbbc5be262b83342facc", "47580b23dac6ebace27f4503ceb6200fee45056d", "5128f77564f70d861debf2941df54fc575283698", "888bb55811a77011a1f922044ee5709f25cb5b36", "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "8ff7567197aa9cf146e023326802b2e097121acb", "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "0c3d1f306fed393b92fe62f03496c0405ed1ab4d", "95a287356caad3910df98d52a3723e1f98e491f8", "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "ec24412cdad5a912f1174ca9775442b5036e2298", "11a47a91471f40af5cf00449954474fd6e9f7694", "d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3", "cbbd13c29d042743f0139f1e044b6bca731886d0", "2c75658b080a9baaac20db39af86016ffa36f6f0", "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "0334a8862634988cc684dacd4279c5c0d03704da", "380d5138cadccc9b5b91c707ba0a9220b0f39271", "6d07e176c754ac42773690d4b4919a39df85d7ec", "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "5e24dcafd1219cd77717e625895bf4abc4af7c09", "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "9fc17fa5708584fa848164461f82a69e97f6ed69", "c98983592777952d1751103b4d397d3ace00852d", "2359c3f763e96e0ee62b1119c897a32ce9715a77", "934f69d038721540c96093cae634573b89d7d714", "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "a52a69bf304d49fba6eac6a73c5169834c77042d", "ca5e9973a4494c608548f639eb9a391f6235d4f0", "93af36da08bf99e68c9b0d36e141ed8154455ac2", "d2eb1079552fb736e3ba5e494543e67620832c52", "91e17338a12b5e570907e816bff296b13177971e", "dde5125baefa1141f1ed50479a3fd67c528a965f", "09997e8f71dafb78680b8c5002e80f7f1d71b896", "3c300649fd125ebd56e489086aabba7ac9f100f0", "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "2a09be75ebe85f64a198d20766872c66cb2f00d6", "228ea13041910c41b50d0052bdce924037c3bc6a", "2b2896f41480399e7182acfa9466a3f915885387", "58d0c140597aa658345230615fb34e2c750d164c", "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "fb82681ac5d3487bd8e52dbb3d1fa220eeac855e", "097f1f58f1cb8dc9e0622e001d7f6cbb624d542c", "abddbb57258d85b1f3d9789128fd284d30a91e23", "8b879863237d315997857a5585afb2bbbf78c622", "4b57456642e1d21f2bda05aea586b7f419d309ce", "a6151d07560267818389909c9f1dd268a87f42ca", "0d8e7cda7d8a2ff737c0ad72f31dfd4d80d3a09a", "550c369cc3080c03b89d738d82f1ed50145c5aa7", "dca246cd06666a331b0203cb09a6ef51727bfdcc", "4d6e7d73f5226142ffc42b4e8380882d5071e187", "9b9b6d34deebb534de66017381be7578e13b761d", "9c341221e19fac7a5e38b9fe5c62361f780a7f08", "98bb029afe2a1239c3fdab517323066f0957b81b", "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "c4c66578a8ec100861bee5a16b1c9c7d28be95e6", "830fb48d04609bef50ae7f8f3513ce1b160894c9", "745d289e559dcbbfb938790735aa221fbb585a05", "a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346", "c25a71d01255b96c08dc36e79dc7200347574a04", "2868622003cbfd5cfc817cb57896298c0858b166", "1cbad37f54bb3d55c621c31e741472e15f832809", "54f8a2cc202a65ede4da8593c9dd218eed0b0109", "64f6f1cd23bbac1983ad4115475e4ef26ab86ba4", "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "15180235b45506f87057f53d688729fbd9f2e291", "0b0c4641ed1b6d18a1f0789485484d97c1c8cccd", "73a1c6815c0ef4d62cbdb7a73e84d7dcd370b50b", "53881bb35cb98c788f75fbc8c76198ccbc50edbf", "34d784636e2a8078a6c517f6a9b132b31c2ab3d2", "e3471f481c6b61489d8d48eb4668286f7db890da", "75150b16cee83641f01074568fe4b2d2eb3d0a31", "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "52118fbfbb0ad29e8eefee27438fdfc51b350c8f", "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "2a8c909e41f2653cc6f24449af97ea599a6f545e", "0318c74b1cdec63de4c9577e9e600a48241adfc2", "033f0a769c60ea47928a805ea0b000278748c271", "1eab461a69ea758bf433342a35c6035876d45f3a", "bfec95482dc40936cbb33d386890aad48483adc4", "f5d9da15409bbed02a640c4e716a456b659c8346", "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "c458db5d616058fbd9de19acc6c82827396cf195", "314142838289cac416098cbc2bbe796dcbd2357b", "e3e44385a71a52fd483c58eb3cdf8d03960c0b70", "097d3892f5f2ba7be43a81908279f42a618839ec", "4bce0b90c3c7c1f4b5118b6432841cc5d99c2c72", "7fa5cecfe1c26cf5a8849cf84339cc4b827e6ca5", "69522bd70f1c64e9073753ccf335382be5aa1cd9", "6aaf91619dc41d1e442c5439fbf006965758b915", "500fbe18afd44312738cab91b4689c12b4e0eeee", "83ba6317d13482593264a4738dd9da6283d11832", "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "988d5ad8d114f5f21a73b2ae464dca4277f5725f", "59319c128c8ac3c88b4ab81088efe8ae9c458e07", "d520d335fd89605ee2da63998642acac4ab75a50", "8886b21f97c114a23b24dc7025bbf42885adc3a7", "be393cd567b338da6ed60181c8ad429627578a31", "6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19", "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "5741454948c92d9d7a59f57772589681cde21943", "808b685d09912cbef4a009e74e10476304b4cccf", "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "3c57e28a4eb463d532ea2b0b1ba4b426ead8d9a0", "0da75b0d341c8f945fae1da6c77b6ec345f47f2a", "ff1f45bdad41d8b35435098041e009627e60d208", "269248eb8a44da5248cef840f7079b1294dbf237", "c8b9217ee36aebb9735e525b718490dc27c8c1cb", "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "503906ca940fa3b01e39d05879c9b6a36524aaf5", "1451e7b11e66c86104f9391b80d9fb422fb11c01", "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "b64cfb39840969b1c769e336a05a30e7f9efcd61", "0ee46649d629f67768761a915791e1759c15415a", "82f5c150a882533c51ea221b642b0df9d10757c8", "a13f52f596deb76aa67525f76dad8f23aa84e7c3", "76c1a3506ff752347e69582fe300489a66cc94c0", "2ffc045f48f25bfcf9fe6dbbc86d3f60ff7b112d", "3a64b39cbd4d0cc2dc97a75d10ca19f1f325f3f5", "4b2ce7064eeb014a480255c29bf147a441b3fa3f", "ce0cc5f078c5224b9599caf518d74ae3023be0a6", "61c256071d3344cce6602afcf4f6c27593a2d93e", "e5639d673d5ad4640d0c92cdd32753cd6b8dbd13", "b7bc85b4f6a186e01365dd42993029ea06909c8f", "0c95ff762bdf6a20609f49f1eb5248de3f748866", "99e04d3633881e668475589917f3dc864b0024e1", "d8586c794456f88400231db046b0d33be7781185", "97e6633c9865dba296a36a5e80e3d66109b43b0c", "beff22ec87148ce4eac32fde45ceb5368c735381", "f621f4cdb4158f72f12fdd55564bcdce322dce7c", "2a65c3a5d19cd40c763daad7ec1d6842292f8379", "d47a2c0828bcfa4ebe0b7831f0b389ea385a8ce9", "62d5da64f52b56f79a9ed6952af51508cd13bea2", "91254b9dd1b7ab852bf6a6c346469cdf04cb0045", "5d0d9729abada2cfd6d09b9c3d654f796f013ab1", "e52b0059addd08b6aeead3b4ebdb46594e44bd79", "d9a4bcac04a4c0785adaae9803f53e9bd1f4ee72", "001719ac5585722d14bf4f2d807383a368504a4a", "1868aeb7f13e64ebc78869b371ef321572d6167f", "78e7e122773204b7cf3c321b01cdd3081e63af0c", "b288353fcd8da86e9c55f9f82768492b2de25596", "f1ecb4a14f1f30012ec8b70ec39882888f29b07e", "a8a096f38c7f59a5a310a94cfce2da00acd622b2", "de23c56e5624404628e0d6aa7b1fcbf7f56c6b28", "bfabdebd2185365e7b51f21138bb4e4b0d957a97", "15cb6e29d47189dfe8277d1b67908e5e47ceade3", "1559eaca4ee5c4f1a7816992975e0249f79c32d2", "eb902c51df0aa2140ca5196f6f7e847fbe5562c1", "f225f7034d89cc34c58cb7f6daf00c97c3194556", "6c45759b0a1745870dd567dcad212faa393c767c", "a278841f24de0bc6d6f30237a5cd8511094cc8e1", "44984f97c8c5ff0a734dc4496116df195789beba", "279f3e45d72000767f2b05378ef617d707a58321", "e8f6838a552919eee7b61be745888f2d4c480e22", "8e37696a0163e081ea75fba4623a4fc53fce49f6", "645f06028ef15c6ba8005d3508805bd2d61f25bb", "1438f91b97e5980a641f0ed40f1b34b2e9ffb786", "e4d33362b4f99ab77fd6ceaafa183c087c79faea", "6b2a10bd60790f2e88be820f93d58a1b3b04c743", "04209fe08b6d4cb591effc5a18f4af4c9663a910", "8988384f492b1b277be41a894a2c911ed884e095", "d8cacaa244667fa4a57e9c55fc1cc4fa2d19a92e", "35794480e556b946c82d498ce868fa62235befa7", "0393723dff4c00262c1daf34c26d27fa6fc52ab6", "f0864a4e2f7dc4b3bacc36a0617a1860bcb6aba1", "0fa28b3dfb841cf542edf8d9d5933c7205a88d41", "a9e438c1e66917379509165fc40f335514870b56", "63bdd4d64cc55449d0277b9ec4b2f20bc1813696", "c11ea13d46b93bc895f316ccb0c3cd7203ccbb63", "c5543534fa4596d98e564ab9f792e8d97bfedb7a", "b4a5136a5080f62a4123b6218e7a3570da6d5d3b", "c12f42280c431c959fbc9ee5928d38289f334665", "557a8feea36019a6ad1e6943c83508170f4b4fec", "322ff387087134ac776a4270cd55e7f3334edeb2", "d4bcf90262fe685f147b951a8609a6ef32ffe3f3", "a7aa69b348701f8efb7bc04f36e93ef85ec8a017", "453f9c46cbc0e769b6cee60d65a99b23631f0ba9", "f5748711db00d82469ff60e05f62319f1eac90c5", "2c515b83d6c3cb8a097b8f19dafd9317bd147ebb", "7edd4a32059476ded7493e6438fffb26ab298121", "4119a7bf09a59e4e8a409c74a8fa338336f5ca52", "139683a2924f539d736aab3a57902ae7f95eb83c", "89ef75b43bc329f21fd3e81d36235d4824478831", "b8da30e8f6149baf1201e98b2ecbe847cf49a872", "041d854a835815e5be740332c047576804bd166d", "58563acb6ed1091ee1d0fd8fe77649ccfbda9e66", "ec7d18b054380f9254691b1a80e5040d4af88ea5", "c5af99522e324b72c8a563a5d6b7c9a0101efb65", "0c2309b357cbc5be6c5e5066b053b96e846ade37", "af3de028f6f2369a6a7bd42147d99dd683c8bfa0", "b8a670eb52db712d04ae00606a025edf63dc8a79", "d5d6878f8c82727c3e145ed596a29023f7f14eeb", "5a3523db70e5a0a24b1a38ea8bd55a25c63972d8", "673e1ed100fd6dfc37225ed5f6cf39c02f9e5193", "560e4ddbdab54665e652e6fbbee7ce7738d28673", "e4253d4f6e5bbcfac7176f39eacaecf63949db6e", "50bf792c721293222248f906e95726ac2ac2fe9e", "76692146f3cb481925aebf2053300efb70e4536b", "4f77672c57a4fe2d925aea61cc54ba48220816a6", "2b537d826718b7578ea7c5d0164873d376824e6d", "6da7f9d647b59fbf8d6a389caab26c5331e2cd93", "8061564db4c15aed794f9e9c4f624757101cdd56", "94f9e361fe06c567a29ccce81273bb85d66e342e", "0fafbeedc41f5e31f81c91f56eca448cc29e1701", "06150e6e69a379c27e1d0100fcd7660f073cbacf", "5df93d7da8ab46f1d0e9deadd4e5e5568acd7651", "52cc64fe1e3c93311ede4bfddb71b99fd2eb5c37", "4421790b8f6b7d44915e030dfec6ececc0f03c2e", "a20f57f0012194f5de142715320bddff4ded3d22", "4a4d66b26c908e0264fbef706d1708030a8c5216", "99302fc2bc72ff166fe41e1614df606120b2f1b7", "ab0dd486ff270c3a5ec877aecad7f20b2ce3f670", "a2f2996145d3d670608af1cbbda59c1ac28d4f7c", "847a1fc7c29ca91282a676fc6381056b8dec65a6", "0bdfc21178347ed4f137d4c7d0ba14c996c66b6e", "917411f5a2c799cf16f03114147cc726fee950dd", "8df1766638f4d57935de811a137cbfec3d48cb59", "1bbd83aeccae06f7d1b048f12566943ac824a490", "adaf2f6e627870eec71ee416db1a37c023937231", "2cbfb137e12a68c2fd8ed5184d46e2913101090b", "6ddcc4ce66f301954132c13e629899a27f729112", "b9bdf31f8ee1bdc37e2a11333461ab52676e12f8", "c95e6cf689809cd6a7c9aea99a083fbe2af01457", "b90efd4e0a2267b1c47d31ead3c860acb4364cee", "d928ba68e20b22a327ab093537ec3e03bbac3b63", "97ca91a896c1b9171ad2aafd455540fc65eb92a0", "4cbb4801667e2bee41e849b7d226cfcd1c501139", "fbc93b13b8a6a5e4ed11310ce4da3be0b7541da8", "d680cfe583fe61e49656cc7b9dbd480c6159cf0b", "43d4927f5113c5e376ab05d41e33063a6d06d727", "d4207e8fdb053e81f4570ca2da9f6e7b73656ccf", "2da845c75bf9ff02bd27b6e2ceb4732e89b05fad", "217de4cf88e116f505fdf802eba55572a5d7f227", "c56857cf866603e44ca7a10c122a79c10c5ad4cb", "9e965f37e6f59e210a3540a67d1ae8633a5f9b3e", "42a6ae6827f8cc92e15191e53605b0aa4f875fb9", "e2f4e66a14e74c6347c6d89423457ca337989599", "e76704e56ba5f485499ddfdfbed7088609e45766", "5851db1a7d67af0f6ac219b8fdbb9b1574c9a893", "ef6fb34ea2a5bc1366bffd0927fe4a11f9f5962a", "5085e49ff681a9d61cef81529c4cd7991ece9484", "bea2c35ef78eb40df52e27cf4098f28a79bcbad5", "1be4e4fd9cc7ba114456d9aab2935236f0e1a91d", "ad0fc3daea914e8025332a24c25dab37f6c55658", "0703843838b9cf1240a9459fe5e0fbe3580c63c2", "0bfb8b3cff951b4488589f3e53a801694e1e0fd2", "58841e322d54744dcfe624347d0fffc2925eb9d9", "269912f07c693453dbe5ae69175d06e841e2d9b5", "9ea8091ef0bf002263a3ba6f0962f3698e2a20c9", "0aaa66501298c3df27293eca7906e93d8013b729", "218d50faffca29a2e7bf53c2b9b52e60760e8072", "b64a94c42df080196acb74cd06847297e361ff62", "15811446dce3242813160e68cf79e30a8c03dcbe", "866aee7bc3ba13394a84ed36fb8f8ba543552d5e", "0eeafa603bce9587e7fca38cb51c1418401eb277", "4d0d5101bb563061e4155ddb7df943a629c49e4b", "a5c33de108cf7903a0f7d20daf22fb0794adba43", "bb0f179496d4863c8f6e6ea27dd826a2a40f55dc", "51ba9e2968b2c2ba4f94b4ea17aa9b9a4a8ecc16", "0b3437b872be122d35c52aabd077e45a5c4a1ffb", "01a078cd25b7ce1049efc07bd754980771150775", "d00e573a85f764c398ea35120ab2a0bf90fb09c0", "7dd0db26e4badfc606c56270738d42dd21406b96", "7a596f0c23f4368f6a3856df6cc652f1988c5d3f", "03be0b8baddbe72e813c8ca29819e2309d7cacb9", "75f5c0c387f2e697f320c5fbf02fa28c5a7c92fb", "cdd3b727a8c3129d265ddccd01112655e45c0f4c", "ccbc93aec53000a3ecbac8c8b1706ac37fa10e19", "6f613ae524066802efb1b46a8673e62f9fc63321", "0eb52f7685d5d4243e52fb72db55e9d813abd7cd", "54d7e756a8f14d01a557fe87f62cbf90e905b04a", "55956278efa78ccb59660a48c4ce9ad3e7d88e70", "5c4f8972ff0df23161cbdf1d70ea91f0e545d52d", "89ed007d1dc8cd26033e71dfad7698c835b7336f", "20aa23186f58cf83674a07b631e0618f68f2a6d8", "3762bde6d3f21e8abc549d70709984c36b6bf3b6", "73390af668a6c9662d15cdf84b2ddefaa3f7826f", "83e5d6b25f33bd06784b7aff437f39f45dbc7d87", "0c4d7768d84d53dcfd40f19083ad59e8ee64ef93", "981c2619adb110dec12165ac9dde93f2a9d4e389", "30a319d6e1472c81a1987133afb01f524df459dc", "4ce1946a28cf7c9cebf29210da326c336a0e92ca", "4a47b5e21676347f980efdc0f89f79ebd3a56c43", "6f5cc6efcb3f983cf8518525b941d807cafb59ae", "923afee9370f956e29b402fc228ded2850ea5df2", "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "d0765e76ea93e70ad6873560541531b5f572fb4f", "2866b2376254eeeccce5b796dca847437cd79f26", "b86d16c9df3791ed29ae8219ac419447fde82270", "359c9b9282424f198ef7b348a2fbab38c0c8f4fc", "c1d98fca75c63fd5975fc2fcd3fe07ac02de4a5b", "771431afa9b5c936dc970db8d02ae06f49d68638", "80bf17031c5774501ef03a75b329f6740b43c3fd", "97d1f7df45b74357942eb5c965dbb77210f783e4", "67190da5e5503ac2d9618b4f5fbe42701aee4ce3", "cb78d297b895fa8490265c2143a29562761fc239", "e5a20d65b6569f3ee7b592773632dc9fe6644e58", "64372501affd8571db20dc606b0146a76c266303", "ea76486bffc27d1300c8212ff625ee8f2c873014", "04d41406ed69542a3998b281f9d5064f0c691a9d", "2d5c7b3dc5ce81500238fb7d1c9b6e4a1b86283f", "34530c3a1df47c888506b836a061092df05972cc", "16cddd80945d3ac84e4200e272a4bbcbc6381896", "0ecca0d93554dea65002ba3ce5924f02a6e6a886", "a967f54369466ad66ff1179166eed16cda56c5c2", "1af68c5b5ff61d95de7c585275e119796eb81b1f", "9eaf349bb57cfc2acfc14d7531f801a603c17944", "e741bced5c1d6368530ce8cdfcdcaa0d9e07c31c", "47b6f8c7be3d3a6786e0fe10c4fdbc64f89ad77e", "147fb09a6fd61058f275b7daf8e095690174bd27", "b0751b7361e691b0df7dc70f6c39d41d6cfc04ed", "282c39add5270f9fe08d40db2a5735ea2961705f", "f34df8090f6a24b37ee1bda15d743502ff03edab", "fcbedf2113c91fb71fe7bfcf9644a2f7f74ddff3", "4dde27160c8155b209b6630cd3797b6eea04c792", "aa8cc8a80fe591676b09ef50b9cc695c28460c73", "e868cf6bc55777aa5829612f7f791310536d78e0", "322eff0dbf5d7dc18688be29ad5fd7eb8c8d6d54", "da48fb38e4b7dddf6685c8a2a0c62bdaef3168f6", "33d1767600148d3c51b7fffcdfbab48e570620d5", "b0f37cec22bc3d9c36bcbba518fd8926f1da6931", "d8b3bebe39f5f69d68cdb5c04b44aba3f9b5ae02", "8f5e4fc6b92bcc50ed5f91104b69a58ac98ede9d", "812a32915097a8f947e8a64ef3ac7a343463b3f8", "2bed84ee6f8e592dde39a93a77fe06fddf55b817", "e9d89ff7c1bcd610fa8eb44d86598ab5a14bb353", "9588a42bff63fb36015e10fac9f3121154c3ab1d", "20500887735f3fb87ae3ec351e2115e89c0f663e", "4e3618c74350c83edafefbdae21dcda6bc571d23", "50e6ebf213514f4fa5397c142ce05954483f67d3", "8895047fc2081a6efe0a77547e1dad46f648681e", "833da007d1cb183287728b720a03237bee072cd7", "5bf1b3deb467eb2fa0fa2db3d11b9a0784cfd2fb", "91f2b2aeb7e65d0b673ed7e782488b3365027979", "0d2832ba74fb50d79879975c2cda2d85b98a7fe2", "4cd30e654deedb5cab98ad73096ac73c9645860d", "8a268c9d76043e33e958d8bc908cd703ef5405b4", "4f23a446f1f15d0ac65e4e50232531f8eb404a7b", "370277791a0708b7c93deb21da172e025b558643", "f550f8303406cc0056a1f619f774b68eccf126f5", "9b2c813a94cee031325b3e76e20db7072063549f", "b870b9298c4e982468163168f8a08b3d85dff035", "1c60817e241321ce8af54120f82b162e1d803e12", "a004e590586551911b1cfa7688afacba5c8b399f", "e4e601f854e6989eb915e44dbad04ada47110458", "b308706f194e273e19731711db6986863b2db798", "b4b278ab7f37839343be4f77b45bc401eadd257c", "0dd5f2d7c30c51995015b7fc8e282fc12c3665e8", "a77d9e54bf6917e56054c2b70836b535dcfbcbac", "c7cc53622fc3f3b0970bc02dffd08d004d03916c", "18fe745e0840b7b086fb7d14850a95ebbd5ae57b", "e1628b820ba6258026fcf1b8cddb4099794ad120", "ba85ccde9dd53a9c78a9dbb1fe1e34d7800ad1c1", "dce44d81e06f6703b0e85e778e7afbf3c8d0a401", "50814328c14b107c62c3e49bc7347059a9f590ac", "f84e392a19f227bbedd124c7841db3861d600cdc", "b7a096387e09eb8fc1de957c4cf25e894cdfffcd", "f0fa7d7764e4934f21c348341d79b93bbeb6e6cb", "820bdbe2d34198568b31658bd2fabcc2eeead469", "d41a3022a3947b724b026175dcd93cc055ee9b7c", "69cdf6edcbfb3c71ae99a1660b68128e2af3fc70", "d538d06e1565882fae4137f4eaea1fe6d502b19d", "a7f846c1d517f9030532cb8c6076b1de01e5e69d", "34bae042a882c0c4db79bee95420792f9f25eccd", "e80f3d620dee14ab86431ef56f63e4a11f66a02a", "602072750ce931fd592ee0ea6d968ba9746fe34c", "1d1b2f0e612f0d60b723f74a89cb56ec796f0c89", "0066dc9131c25e93111fc092098f6c9db6255f1a", "9114fa9c4e3c2fc310b6e265636ba9acf6cc689c", "0b2de2255280e2726b78b0d7921a206846f2e23e", "43b4db7bd73ff0a7a48298808c2976662b82f370", "dcce157aa2e5db081b36fd16544a038becb408ab", "77851ca35105ebe007d99e5d78ceb3473491071c", "d12a53e797f799108415ee925c6cb6e626ce6d89", "37d53c1addb437a1413004424395b43ab09a6e69", "29f1140cc5750bc6979a41e1eb55df22d9d0ffc7", "603f9fa18be34c37e66a92e81a8a9c2c209ff2ed", "936627bb98bc9dfe8feef0621af2865356a49e4b", "9833e347f8e19de59b931c94d50ef2685fd405fb", "0a572c16e635312f118d1a53f0ff6446402d3c32", "953a85e036a017124a21d69dde6dc3b4fcd7fe5d", "7fa9b158d301ece512fb53e67deba7bb7506a1e1", "195659b922e57d4508ab267d92d1abdcde2dc9e2", "4edf4079bffe3eb9f62c201a4c1d9d7be280d7f8", "1acf1000d47fd8273ac0bca6f9345b55709f6357", "8d6c0487f7b358a6167007eca96911d15e7cf186", "729fb8d4c8afa86bedc6899bf835e32313a40176", "a42013649b10bc21a1aab42f96aab1bd2751652f", "f19e923c6f07c283631a2a998653b67df745b333", "6b383e7bea3cbe57743614ed5566a500b784684e", "31c4017c71b722293dcbafd85d18acf875995835", "76a2844ccf9dd0a04a0d2ba017dc4f94540370ef", "0afb2e3db5b8ffefe6a52fdfc5ee813c25353382", "02c3432b5d97b4ed7b8522c1fc4388bd4eda8e67", "803382a8f1a3762e642ad106ae2e01af8b711b64", "e8b197ada861f35d18024543196be65d4b0f8c97", "6a14b0794d5f9de6d2d72517fdda211b3349bff5", "9eb0eb9fa1ad11692ed49577d369b3721bb4362c", "855854b5c76fd7c79f4ad22eda78a8341721c847", "17d26f2c2e142ccddbf1365c3f2a336a94117bff", "15a196a161ebe6916480eaff6eeb5adce3cb77d5", "24cf50f79329c29e1fff1f83a9b9daa6130b9cc4", "75b84ce3900558621af0b83ed5d413542014d911", "925811b9fdd6c0d901bdd63245ead6a781f38bcb", "7bbc3756d5a99896be9f8dd4fc9b59c6d1e1d7c8", "6c896ca9bafd7479c8291d0448e2910117ee059f", "e118c399cf7787c4c7e9d8602d5f63dde722526a", "061acf48912fe058ba7084dbbdbddc407f01263b", "0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f", "4e0314036c8071b999ca3b24429b91cad4dc94be", "1895252bd951faac9b2336b3fdf1daea7aeaf1a5", "a7353ff60115d2f28c1282d7c2ff733f3bdcc7e1", "9b7c922d00a6bebc60607168ebbda2ebdc703db7", "c51e244be1728fd1abbd4b4bc58d2e555643ea50", "bb774b8ae76ec0818f6eebe10eee17ed30d7079b", "f8e27d3d390e37b0a82e9ba5d9486178b25ae135", "3c8b65999388baad4342baf363e2b872bdabb564", "4ea079e676b8dbf14a8fcfd8b378235eaa8b8aa6", "76d7cec5b32a2624b7a7a0cce4eaf4d43a3fefb7", "1d4d0aa949242d3f90fd3bf2e759ff5bb29ae3e7", "e3b14c7cf882dcb9ae22a42851cff5c69d1c0a31", "7cf28c293fef805c75dde283d5e53e7b4377924b", "84529aa8b6224caec0bd1204f2294903635c451b", "df26e4292378501eac5f99b433c9937225859c9b", "d121714f0862cf923883008b570dcdd70e9128e5", "fc18642d17785ef1853749b5323bf87adb329537", "a7767accf8ebfb51676062ce7102a3984f446a82", "0f4a26d9833d6fd9166c1dae1c53c7c7a6d00e95", "5d5f6ca40afd27fd49c72930a87abd8b9fc4c0b1", "e27c4b8658f6858d26ccbdc7f97cac28da13245b", "2414a082c7ae54c60bb0de874029f073d4c3df5f", "a5ec50c3f268ec68d49acd31e850cb69b65c5a5a", "72b58842d8a9db7f4ec1dab6986e18319748f295", "adba4fe9640c03d8a98bf7604edb32cb868df655", "c6b7c2a485f13bb97283c367dc2811266a68ef64", "86397e61de89beecc5ab675bbd1aa1c48ae889a8", "b0eb2eddcc2575f02615c12d2ca392cbe2048dd0", "0f322826b609c03f0d4eea735999fd37a4cabfbf", "27edd87445ee2474f654563bbae6d265cddc466f", "3d81625b6d51ee81c95333aceaa3f60094f01d6b", "04116bf26e21f6399678b5740690deda11579d0c", "409883c2ec817b5e49a65425f04f4e27af4baccd", "7dfb22b8762575420f914305c5616515bd1b4aba", "45122c17e52f49ccb1ab8ee5b7042a21f1a61beb", "4d39bff41d69bb24f02e66fb5eca244a1d9afe7b", "685150f27d482e22334f8cf8ef2b65eb8c49769d", "eb81fde3cf08dfae350c28b492af7a5a6254b57d", "9bea77f4bf5eaf47f195abea115950cda7372419", "0ff898bd960645fd52f7e374b20eccb4f1f7c9fd", "4f0525205a31893702adfe9d84eb9a460dbc0c75", "1dfe045db68f9c656d98ac85f7fa31851125f1d9", "fbde058357f36b233e722ba2d3ee665ca34d57c9", "d853f490cd3d552d3a6d4a90d1b76c84e746a061", "83c3c4ea5d23d3573e82bd769c35b9db99bec8fa", "5e32d8aec25fc9437889c82c10abaa413a6ac928", "33f4aa3d0c732ff8cdc6593b7ba3bb40af7554e6", "72c37e7507439fc6de2b8385d8842f0805b095b6", "c915bb79e1fed83938dfc8a781dee6d24742c61e", "66e8e8a098a26d61c1844baeb5e9aa761137edbb", "1a765cccff5e14c8f72d3cce13683e506b35c5c6", "923d914e2a2f04490df530891f287768b1f0d602", "3d5e4ae1b8f8384ff490ea5c7d68873b8ce0a25f", "7b965bf132e5971dfa95c67bc7685b73b32e07df", "abe57316b960260a0e89f84229f26d3d8c613e59", "5c296fc8825a3b7fd0c60a86ba43083bc8720afa", "4affeed766c5edc6d5e16f5aa427873ec7d79a76", "a90d72b4b0e026391ac4d7a6b0a5deca2791e718", "3e30c59cfdf9ce2c89481d81912e179a9bd6cbee", "1bd890d0a14f378c99c9b60e214f05d2b5c64928", "bddc9637bf102ad8220238b82a59c3fbcbb82dd8", "0ef45179ed4748c66472153353d65d592a048503", "ccb6c474f7329f85076382e0700463d10c3437e7", "440e9ac4017069a756f82b8c4a1259888317eefe", "b285e50220fb6c09cf3c724c7e48093373df3c58", "abe68def86acc7674f91bd815f637ceab3ce4a2f", "66fc5015ba1039dbc557da2d9c4d914d11ae998e", "ab913a6b4732b31d226ab99faa1dc14a42c72ef5", "a5df78ad005a605ed762e64f47ff9af0df595703", "a6ee83e4655d09063f50a8b97d8dc32adc5fdf3a", "cefdfc7f7348a500772a4d5347ccf26706302d8b", "68c2e7be6e989c2089246ee1bfe0fd902feff76c", "8e963c09144cab961bc90a3c807dc9b92c6aa916", "f63b1aecb09cf4943a7994e98ba88ca99647d4e4", "9bd973e64750a94dcf528da402b39e3a53118312", "6c56051cc87b452683aa9da7b485f89148b31962", "894ad7efafa1b40438ca1ffc7c76ee6694e136d4", "94ab01c46798b55cf02f21e87201d48f4fe746fd", "0464b56c5beee717b074ed950abcc959372256a6", "0d3404530399eaa1f657d925a9a49c9e88a2e23b", "c6e34156d4a303e1ed6d02351c542e42a229653d", "3103a8a83e60aa1ef93b55cb0b2e7f12b9e2913e", "4143777a1c15244edc2387f376e1641dd7bc2854", "2fc0812940e295041f66757c43d966fb0aba0e2d", "ccdf24d85fc14b4710dcee268355548f166ba870", "ff2b0f2c01a4a98e18909a8bd4dab2e12e29b68b", "667f41cb2db2a75e3060cdd3319f25f0c56bb57d", "1bf46be0a8ec177a27db32c523f98d18e2c4c922", "4116a02abfb2a054a32b92fdf4edafa5f8684f10", "6681006eaa13e03d8cf87cf44797e87ffbe0826b", "9a76d45f0373c5f85dacb4c797f371ea787e3956", "d9a4c399f6759a9290c8d9038ae582dcc8a24a18", "40b82e992263e74537b1c4c70bd9d9cf0c241e02", "98eba4505ae23473bb377ee1040ae24331b26247", "aefdbf8dc2566d3d95e3a2bf5eb63bb803bbc38a", "bb6fb618824e29fe8cf16f5956e8265052377ad5", "681a624e58560745cdc232d9c11a015575d179e7", "bf66db9b0a5d18249eb910a6bab0f0a7fea3fb03", "62365af444a7dbf4ee32ea1350f4659d9fc99ce6", "4dd1c0aabefc54f2936693d0c19f7e32e967c8d9", "264837a7c36ac409119cf71b22415d5c227a1870", "42ea94af578b796aa96b68cd1c8ab6f55f22b050", "b9fbf264d61c44c9737513d2cfd331b34d24fd64", "309712bb1858f28983ac1460d2cb43e64ddc6bd4", "19941761feadceb20897974483ede809c4793aa0", "1ad8b5ff526b8d6103051ed792d9ee8ca3c8be54", "99cec3fbef6b7543d3676dbeee1520fd36cd52c3", "b25d312015b7130c0e4ae78d84970cc3956dbe42", "3972e4a91194c260d236c50671e39282ae0384e9", "150326137da214210b46e0b7f22e30f7e6529006", "bc7fdd91d351203f2820240b43b9aa4a66d0a8e3", "1a6b2972506d7d85100552bee99ce2b267e30d41", "04a9de9df349ee0245a6abd08f4e458e65b1325d", "e1250228bf1525d5def11a410bdf03441251dff6", "8a48904820b6cfffe8bd951877a3e6e0d5dd6eaa", "413a1a00f0eab2fcc3dcc0d821fb2f34e85f5d7a", "30a088d311987f43a08f95e8def1e9d2d7f3c46e", "3de3ad0f6ae59ff579dc32856740f9f9b801eadd", "cb9092fe74ea6a5b2bb56e9226f1c88f96094388", "3e16cdf4072cf85e54c6c9f57bad854ac22bcef6", "769f3ff405b076689748762526e0a861fcf03ce6", "bc73f04ecf5cbb96b537937c46ae48eadc80b0d0", "ca91856866bc73f6ade83682895fe4aa16b949b9", "397b0e1db0feedfc4e90a96a3ffa04fb6b8ed569", "3cba45bd70741f38ebf375fec33a9c077288d575", "0f2f1e6e23e4bb9f16ba969d50582e0064ac471c", "5305a899c3f45e312f2ae583fd3abb2d1fede458", "275416b209906988a73125e8ee0615774895c869", "ae94d00bd6c4ef06b73593aefca68723229b9ae9", "722364dc6205074a75a0caf3c1b4d2f27f5eb794", "66e9fb4c2860eb4a15f713096020962553696e12", "8beca6290f6024601272daa4ddca7628b282b081", "0d61fabf4c3111391c31677e478c14af1b0c3a0b", "540a95299f5d9ff70a2d6f0103148c25d20ce37a", "93dd3cbf7483f3f52349df1dec78e9a4e95c81bb", "5c789a504d8d7192b82f5f5a323b6c55ef2d0c6c", "737838428e282f4a312b7a0465fb1f4929cb4a1d", "bee990f78c51444ffc87bd237fdb39f625fa4ab2", "7b358ed87f39a12d737070dc22b4c547ce378648", "b9e43abd1f798f222dd7bf9caf8b597a0eed6316", "b5f851fa4e4392c0a80fb04dcbaa86a29cc7f27a", "6d8eeae743d77b12be8760444724080a94d2e49c", "5088b1ca95e4b3e988d30dadac20e8436f4a0c4e", "132d5724f8531aef54cadb79748929808ba685c0", "1dba153b743d0d1534e3711217498942159e7db1", "8289e4e4fcd4caed5f8259068b92f699a5666386", "8ce4a669358dadbfac69ff0d313af042aeb94de1", "57861866a948ab1e1d61376c4d4b6b251e89dfeb", "6e8c7e0f6a83fd02f0cc6872ca16d755406723e5", "190053ff5ab2a7efbdf5a632eccd0491dd3c5e76", "e8bcef31648bcde5a97c770dddbbcd1e09086930", "09edf114f8764c82713f8dd35b1b32ad83ecaa17", "22554e829483d9914c95ada66ad6e7a92ff42b25", "39652bfdf5574ed7ae59dcfdcd2ca0396b9e0cba", "617a7e6418b5a330fb98c38c61b4c8859a8118cb", "a12f3e1a29dbe709384322c162840238ade1a559", "c19b5cce6c542380ba3bd05fb128918499428914", "68f25fb2f3ab9ef08f5d2de5b632a9df6fd1f4ce", "c69f4ec3ba6ae4a627fcb5d4f58cd07b8c42e4e4", "a231fdbd9065ec7ca76484816bf64a6748426b42", "247b8e6b0e1014e707117c08fc880bb341b2c248", "d622f752379e0d3fb5184bdcaf014efde70061fc", "cb1018a7eadc1b4f686c15d2abd2723d1e6eeec3", "b0f597ffbd5729f2ff7b90079dbf7d26d2be62f5", "dffb4461c45f21d41d85241b63fbd6e2272d4030", "48b7b474af1e86ee6e9db66972155c10cbbdace6", "396037d0ccd86ba8bdecfe8c78bc363770a547a6", "c418d1afbe822870245508f3469c02d440ef77e0", "cd6b6a7d559a204920ee1e13235e461362f343dd", "a9d54e40407be7d8e496830e75a5b6020461ce4b", "f53f990a22967b3eb6c9e9cde81d50a63b6a46d5", "311bd7acf599412fbf6bb0b4c9f14c0939e5486f", "56619761a74013d6c58e9f1b3aa4946054f76b63", "4f1765b1c352093718ccc59f420ead44a4bb267b", "6268ad4bc516a41a30db566e2207079fc483212e", "0fb5159b976e39530a9b4d4a1480efd3ab3cd458", "9ebd150e340fd7e1f67cd50458e80508d6332c1b", "53b35519e09772fb7ec470fdec51c6edb43c4f13", "e293469719cea119bf9688922137f90451f7a67a", "3b682d46d9c8ba9d571cf1a631bb60d6ebb72dfa", "d843488c6ab10586af524048a6cf84d2776a7264", "20a180fbe73a0fc1ca3ebb5f04dae82da9496c83", "2c47ef6a9979cb51f7cdfe3bafdbaa2aec28da8b", "c165003060eeb01e05800a5ee4cd327f1e0bf5e3", "d09a3ec68311af4ebd3cbf7ed906aadffa94a464", "6cdd44193ed8e17a214c4f7673b72b2480ea8dda", "015f9cf25b5902edadd984df53df6e16848c9528", "f8a083e405a8205278135442e21311b43ab56027", "bbc4bdab563b8b4cea55dfd6a7ea32680e082933", "59ede79c2f3e004ae959a329bb8a56804cecec16", "293909c2b4c18982fa0aafe714081ecfbd23b580", "02ebbc4ffc398f3d2a699b5743c41472a5c4a88b", "11d21c7fd5c23b757d8ad274c5e98ecbe8cdc233", "ca1794dc08fae4df7d658407ba8f5cd623f1c1bb", "5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923", "5e172e71d36ecfa968db3cd393dedfc8d4f74343", "2dc1d97001da2fb71524adcffc27492726ace37a", "ca0823ea938736ec3286a5fd3bbc0b3d830b4fb5", "53509b593487ff4b5ce05339b60184b122884452", "0a6c36de8726b6feaab586046ddc1d1a008f44f9", "3b7f93327ec947194f327869a58073d8bb7259ed", "c21b8b8cd5708111ea21d8095c075aef1598efcd", "f523089dad14fee8f90f9e14f30477d2973c6ec7", "83bd4c43468883d4100b38b4f4013731790cd7f0", "2d1b69e2d6b5674d1623ddd9e42c8f700893d6ed", "1f5e47ad5490a63c7bea79000999b711055fbf2a", "346a18025714deaa2a37f4bba9e1a1f79426c8c7", "335486cb9bb326e2b33fb03a74d0f9d671490ae7", "98ed6862bb4d628c29b7fdc9953510f130af9d9a", "bc13a1a4c3e94ba346a8c2125b966e4849a3ab43", "25d48ab3b05bf299fe61ed6580674e893f08380b", "33ef644ef5085237b4f529251d6c895d32d6052f", "a3431ac9b157f7f510b855988107b065ce1deef8", "ad72a3c74a2eb7a02288e2ec86057a37d80227b2", "35eead675b8456076ee0c734991cf467d0becb87", "183381620f30e8d03ad5eeea091dafd8e0892cac", "1df314a1e4dce42fd9fab094b79a0f2a10ad0b03", "11606059047b2f3b2293a43af0a5eacd01830be0", "f3040f4b9fab7f0ccbfdb87117520742a793cf3b", "6688cf4ecaa06de4c7eec2a45194b334e84a9bb8", "ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044", "d75d55a9096038b0c745c0f79d1cd51d190e06d6", "83cf8f2866d030ff3583c4f92b00c27e43647f0c", "ef140c5a517643d89ef6e90b4ec33e95b90ac2d6", "e387b3d3dec004366de7e5f6b049781888adf34a", "cb76c7002b9a813405359b2bc2a29756bf426bb4", "af8261ca1fc8e111cc344c0f3e26c09e39246983", "2d7dc5b052658451f5f5923f73fd7b0aaa0688ef", "e34aa1164def0063dd5e45107592313110adc9dd", "29d6176f2ac871446cfa2b8ac52e9d26a2b0838e", "e85b6f50b14014ee4a9212de4716031e21e92a89", "c100cb3ee6326d4f420c3be27b1232de6cd3bc8d", "1bc783d6bc137b7fabcb5cfc9c4542c500a5c3ba", "0b0e29ff990877127963eb064ea12926f7aeb52a", "248b822f5f6ea1ac88d3b3cefeec75fbffe0fc95", "e1fb8ab53996f06e9a35de6b553333bd6279bcbd", "04d4dcc4b75ebaac6ec393eee57ae64b7931545b", "ad0cf51af6320cf4ced419f9dfab208fda85a10b", "53449d684a621f299030bc2078d32774abfae7e7", "b0285670f2c2f1e66c3a47b71137beec0ad39acd", "4eb412ae320f9e91e4c1e243b40ce502e0d9ac98", "2a2047f32ca7a36413e87271dc7e619a6517898a", "f8d5ab79943ca03d6ce1a24605435054ea9bd105", "8ad83c705f7794f4e35ff1f6b26777d6d0931091", "6fc7b0df95146389c780004f7aee6d09358d71ad", "4ab88d630b1cda47cb8fa094dc730a06244c246f", "7fc9acf2aa68c0995e1af736c2dbe647ceae090e", "1d5d68bee741d81771e9224fe53806e85ed469aa", "9834b3f7096b103b5f36c746c211a61315734918", "f172573a4df493e226aecf19262532a2ddbbabad", "feaa050749597887cfff6b8c2ff4b9d94d979552", "f5d7270939a58aee835357e994b3773076cdefaa", "f555ae02a9942bd1e2c36962490af6306d635afc", "e3d174bc5632dce568bd947303d776b5ae98ec84", "14cb3de564377cc4ba2b9bfe8ebd8c0a7c2787ce", "3388719e1bc9fd7f15e9068a5e7a5f4cc7e3c0a2", "4afa7f03e40d96aaf05a09c318f758348269b579", "158ad4a4a0e3bed2c512d67048b42cde78ed2307", "7b4be5c162e10d26235d5c9e188e4832e003bcaa", "168c645b3999cc0ebc10754a0a55fd139c53c9c3", "4bd21123e4193f61da38f8246380f1dc9d39a646", "b8968033438c1a53219dd75150b711a6aae6bee7", "0ad119275960fd1b68004feeb84d41b91bc273c8", "83bf70f55f0e1a4f5fdf7a64a25f2c1fd927f57e", "4d071bb0501ebb478ca3963dae1f4cdea497f72f", "139763a0b2e78b63b245a456f2b9dbde2d1d573c", "9c7e4721c5ee32bf09ea1014ac50ed16fbfeb962", "7bc96a4b8165e283bc25139da5d88333db6309d9", "a98ee26b04478a04bb1d6c80c0bde10ef3daad0b", "f0308e72f981ab902ab0f5256c40cb2302e8ac0d", "53e74232ca0fe2e26dea8fceeb5c79d9b36d27a6", "72725cebef376922cf4335e48fa059f8aea49acb", "60c43614331eef0e2a8d8b303f61ee9681294647", "c75f71fce33f81318a9d850f21153dba157894a5", "7d7cfc8dc71967f93c2b5ec611747e63c06e1aa1", "4be63e7891180e28085d03bb992abbc5104ac446", "da633d1d43a7c5ea2c505e6902a7cf3d9da2a0f8", "116cb9384c51651abbf17806e60f63131347ac0d", "e1a3c4f31e73bedc457b7a7fde7f5ac0c2647f83", "03965ea69709a5a97f10a4f03b8529470c0ea05a", "1b2d743e4cce2293ae67930d44000ff1d3f53619", "77d91c50159ec2d78d6f2475f6e9900622f0aa7c", "3de8310c685cc9ce6327ce715e835e8806539a34", "089edf0f53e670ba908b93cb0c44fc4f2bfa5511", "1e94ae83bd49cc9c6366a7f486ed5956e5fa0e14", "1f53ca209f982500069fed73efe2345358eff79e", "678aa1c5241590481ea8f54eea69e193f513a8ec", "d473ac0467fa6f86e411c839ca0dcba4397d39c6", "4a691bd830cd0fdbb4a13ba91160e973386250dd", "78c9a63be8e07dc6acb90f4fe3f06821719eaa34", "7beb3d87864ad78df89235fb323d8837b8846475", "8b354fbf6f4a08a9169940c1f353345fb566ac87", "0695d67efdf7bf82a99a4fcf13e65ce6b97afc57", "3b8411bd68ec818359d68471099d7283d1a5cd94", "1d328a61c10c5ed2e5c24d483cf5293e61ea846d", "08b302ffc8f4659f9f5a6f33e870032d8d3ae598", "741723051f50070be86fb06ff378a78a76fd54e3", "e7a4e1fda9cf8e03e8d4ec96b6a1591914b8e1c6", "718488bb2a00e4853bc6abb5b2ec129273ba8d15", "52f3b79d813a1fa68d8e8b34705f72cc089457a9", "ca14a1c7c8a0725164d119b7b83189b0ad19055a", "59139d77a5418826d75da14fbebefeed180e61f5", "9035e87ce49b67b751838c7346d36fe481260217", "d04092811cd1204f560087422e2b60e4be76465f", "41e5a06cb3374fceab3a228b21340f6ada0248ed", "c3a9767797c58f3bbdcbf0cc950ec3e55de5827a", "e6ff9da79e8f46e1a110a16ec306a44bddc376e6", "3d10a1ded3688610d88b715e1de02c3458708ad2", "41eb9acb7326cbb5f8f270bc0176443c1c170200", "c3e75536a0b99bf7c55c5cd95900b2ffd14e5096", "eebf82925482e663d7dc5d90871baafa44245e52", "fc74e14a3195fdf91157d5ea86d35c576fcf01d6", "79a7bfdb8fba80240c0f8e7852c4e85f3a4fd8c0", "37cf9143dd6f7695fc179cd00588110fd9aa3ae5", "8c2c788571c0feda311e7d4358791505514919d8", "373d33254f6f57de1203b1a7b76f9bc95b827a3c", "f166c4652e978bce7d8e494ea7c13ef275b063df", "b109eb542610ead0b83ea23b4b2f45b18747e8bd", "2cf264065bf579247b3f0754de7e6592cf5a66ad", "cee02ca4d324644be4aa86e0e42c6c268c034bb2", "00eea9f10738475e9c37a5a240b2f3a2515f16bb", "936547a21fa52c0a8df4705a7d9af3817b1235a8", "7135bed472d9a307d0612634d690c6306f5bce26", "5b8b9ab0feabc023f3ebcbd99d86bcbdb79245ba", "878130455685650f0f185313371a3f4897f06c14", "b2f69961ef207d478e4dedc7ab955fd67b30ab3c", "a9812d22ccc56178c956258d69664f49a2f3bcb7", "eaa334c28bd53d2cc37c1973cd9f5f4a5be1012b", "97ec813ef2809557a6b9dcb58897756d634dde16", "cd0ffa823ec50bda250aa7a364aaf87ce32384d0", "88a37a05024ef3390e2f1b67fb3637d1c8bbddb3", "09771c0f9eeba235555337034f4aa7a42c8833fd", "6d67c2368650a65900b0d13c9ee9554dfdf8c03a", "ebe7063c2dbc5f162be874b47a93d6b05070101c", "f8edb37ecc8e30392250af248c402fa3a118f8c7", "02b589c7e20ecce80938b173ad805cdb2bb0e7e8", "5b33a220defa5362e7e1f1b664ad18e466b0515a", "b147baa55e7b6456419d1518ccc9fd16f5ba2db2", "c65f39247c6c055097f769b79792287637e5b29d", "95264dd570b2747f863fa6c52cdde3d0cbbede2a", "06f251cceff93dac123e8568773295f2d0d702da", "1806665f9571bbdcf654f3bdf5e009bcb8eac799", "ac71673da236ac440f647226dddd94aef3bd72b2", "55cc90968e5e6ed413dd607af2a850ac2f54e378", "0af48a45e723f99b712a8ce97d7826002fe4d5a5", "f7de943aa75406fe5568fdbb08133ce0f9a765d4", "d2598c088b0664c084413796f39697c6f821d56e", "65b737e5cc4a565011a895c460ed8fd07b333600", "6b8329730b2e13178a577b878631735a1cd58a71", "1677d29a108a1c0f27a6a630e74856e7bddcb70d", "d6ca3dc01de060871839d5536e8112b551a7f9ff", "7574f999d2325803f88c4915ba8f304cccc232d1", "a75ee7f4c4130ef36d21582d5758f953dba03a01", "053b263b4a4ccc6f9097ad28ebf39c2957254dfb", "05b94a28a7a5eda5b87b317edb968ecf2499f614", "47638197d83a8f8174cdddc44a2c7101fa8301b7", "21258aa3c48437a2831191b71cd069c05fb84cf7", "078d507703fc0ac4bf8ca758be101e75ea286c80", "14e66126040d0be79cb06fdd9532f2c8efa98e2c", "fc958c029ca92492c107a10fc982ca00a04f2a34", "548952720ddc6afa8b62154075eb195c6b48217f", "223ec77652c268b98c298327d42aacea8f3ce23f", "9d0943e5098e3a11fedc7d441a145ae1b2dac26d", "bed06e7ff0b510b4a1762283640b4233de4c18e0", "75a9d9ea6c1a5ee55fc0ccb347b263785b15ac0a", "cc9057d2762e077c53e381f90884595677eceafa", "2f16baddac6af536451b3216b02d3480fc361ef4", "682760f2f767fb47e1e2ca35db3becbb6153756f", "09628e9116e7890bc65ebeabaaa5f607c9847bae", "14fb3283d4e37760b7dc044a1e2906e3cbf4d23a", "cbd004d4c5e3b64321dc1a8f05fa5d64500389c2", "8686b15802529ff8aea50995ef14079681788110", "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "7224d58a7e1f02b84994b60dc3b84d9fe6941ff5", "2f065b51547c671ad9267d08f9f428950849ab9f", "0a15b8c7d529c7facc2d3b4c2111801dd4adfc28", "1df84bf495d15569258513f229325d922b91e045", "2559b15f8d4a57694a0a33bdc4ac95c479a3c79a", "bfdafe932f93b01632a5ba590627f0d41034705d", "23ee7b7a9ca5948e81555aaf3a044cfec778f148", "06f146dfcde10915d6284981b6b84b85da75acd4", "f663ad5467721159263c1cde261231312893f45d", "7859667ed6c05a467dfc8a322ecd0f5e2337db56", "16395b40e19cbc6d5b82543039ffff2a06363845", "a481e394f58f2d6e998aa320dad35c0d0e15d43c", "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "b59c8b44a568587bc1b61d130f0ca2f7a2ae3b88", "7fa2605676c589a7d1a90d759f8d7832940118b5", "6e2041a9b5d840b0c3e4195241cd110640b1f5f3", "15396d785fbbc977957565d3d7478a18672cb83b", "eca706b4d77708452bdad1c98a23e4e88ce941ab", "593234ba1d2e16a887207bf65d6b55bbc7ea2247", "587f81ae87b42c18c565694c694439c65557d6d5", "17d01f34dfe2136b404e8d7f59cebfb467b72b26", "a9d861e270b8b1e6deea1936b258f49f1823005b", "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "2f841ff062053f38725030aa1b77db903dad1efb", "9b93406f3678cf0f16451140ea18be04784faeee", "0ec1673609256b1e457f41ede5f21f05de0c054f", "b5bd67ada6de799d96f65ef0f1b6ba1cb85e3dd8", "68c5238994e3f654adea0ccd8bca29f2a24087fc", "08a1fc55d03e4a73cad447e5c9ec79a6630f3e2d", "5d01283474b73a46d80745ad0cc0c4da14aae194", "96b6f8ac898c8ef6b947c50bb66fe6b1e6f2fb11", "f86ddd6561f522d115614c93520faad122eb3b56", "a14db48785d41cd57d4eac75949a6b79fc684e70", "36b13627ee8a5a8cd04645213aabfa917bbd32f5", "9cf718136c8a33659dc35bf0a7fd4a8c6c68f75d", "7cee0311e71dca540aaf3d87bef3a6c97ca39bc3", "7196b3832065aec49859c61318037b0c8c12363a", "0abfb5b89e9546f8a5c569ab35b39b888e7cea46", "5050807e90a925120cbc3a9cd13431b98965f4b9", "a325d5ea42a0b6aeb0390318e9f65f584bd67edd", "97b8249914e6b4f8757d22da51e8347995a40637", "8a83387dba9b768416c931b1df600777c9bff868", "6577c76395896dd4d352f7b1ee8b705b1a45fa90", "159caaa56c2291bedbd41d12af5546a7725c58d4", "8910bf3a708ee31942dc1b623fcf6e7ca4438c18", "34ce703b7e79e3072eed7f92239a4c08517b0c55", "0f0366070b46972fcb2976775b45681e62a94a26", "cf4c1099bef189838877c8785812bc9baa5441ed", "d066575b48b552a38e63095bb1f7b56cbb1fbea4", "9b1a70d6771547cbcf6ba646f8775614c0162aca", "eac97959f2fcd882e8236c5dd6035870878eb36b", "705e086bb666d129a6969882cfa49282116a638e", "a6793de9a01afe47ffbb516cc32f66625f313231", "a6583c8daa7927eedb3e892a60fc88bdfe89a486", "c5fe40875358a286594b77fa23285fcfb7bda68e", "8ebe2df4d82af79f0f082ced70f3a73d7fb93b66", "4268ae436db79c4eee8bc06e9475caff3ff70d57", "14318d2b5f2cf731134a6964d8193ad761d86942", "397022a4460750c762dbb0aaebcacc829dee8002", "9e60614fd57afe381ae42c6ee0b18f32f60bb493", "a51882cfd0706512bf50e12c0a7dd0775285030d", "785eeac2e236a85a45b4e0356c0745279c31e089", "da928ac611e4e14e454e0b69dfbf697f7a09fb38", "cac8bb0e393474b9fb3b810c61efdbc2e2c25c29", "7f5346a169c9784ca79aca5d95ae8bf2ebab58e3", "f6c70635241968a6d5fd5e03cde6907022091d64", "2ebc35d196cd975e1ccbc8e98694f20d7f52faf3", "4b74f2d56cd0dda6f459319fec29559291c61bff", "f1061b2b5b7ca32edd5aa486aecc63a0972c84f3", "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "1d696a1beb42515ab16f3a9f6f72584a41492a03", "f69de2b6770f0a8de6d3ec1a65cb7996b3c99317", "a8faeef97e2a00eddfb17a44d4892c179a7cc277", "405526dfc79de98f5bf3c97bf4aa9a287700f15d", "cd23dc3227ee2a3ab0f4de1817d03ca771267aeb", "2ff9ffedfc59422a8c7dac418a02d1415eec92f1", "992b276f85d88b90e5942ebc330e397461bf775f", "aade6c3dbea3b0a918f87c85a36cb6b06eff4f5b", "922838dd98d599d1d229cc73896d55e7a769aa7c", "dc1105c7171a0922bfde7612aa069231720ee694", "53fdcc3a5a7e42590c21bbb4fe90d7f353ca21e5", "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "5fe1728aee6b1045c2a4717afb8cb49254d777f1", "83c1fee5ef4b7ba9d9730f3b550dd7bfbdaf591d", "248db911e3a6a63ecd5ff6b7397a5d48ac15e77a", "98c5dc00bd21a39df1d4411641329bdd6928de8a", "3039627fa612c184228b0bed0a8c03c7f754748c", "af97a51f56cd6b793cf96692931a8d1ddbe4e3cc", "100105d6c97b23059f7aa70589ead2f61969fbc3", "1f8656e2254e353a91cceb08b33c25643a1b1fb7", "0c12cbb9b9740dfa2816b8e5cde69c2f5a715c58", "59b6ff409ae6f57525faff4b369af85c37a8dd80", "7acbf0b060e948589b38d5501ca217463cfd5c2f", "718d3137adba9e3078fa1f698020b666449f3336", "7f57e9939560562727344c1c987416285ef76cda", "17fd37ef5678ce967e47cb670ebf81cf26b70a5e", "c48b2582429cc9ae427a264eed469d08b571acde", "2ef328e035b2b5501ceddc0052615d4cebac6f1f", "3be027448ad49a79816cd21dcfcce5f4e1cec8a8", "16d7e73f9353e12a18bfcc8b96bc6d589935da8e", "4be774af78f5bf55f7b7f654f9042b6e288b64bd", "b6620027b441131a18f383d544779521b119c1aa", "026a9cfe3135b7b62279bc08e2fb97e0e9fad5c4", "345cc31c85e19cea9f8b8521be6a37937efd41c2", "80277fb3a8a981933533cf478245f262652a33b5", "55a7286f014cc6b51a3f50b1e6bc8acc8166f231", "8de5dc782178114d9424d33d9adabb2f29a1ab17", "7f904093e6933cab876e87532111db94c71a304f", "4c71b0cdb6b80889b976e8eb4457942bd4dd7b66", "31ace8c9d0e4550a233b904a0e2aabefcc90b0e3", "f558af209dd4c48e4b2f551b01065a6435c3ef33", "0e73d2b0f943cf8559da7f5002414ccc26bc77cd", "e2b3aae594035e58f72125e313e92c7c4cc9d5bb", "976e0264bb57786952a987d4456850e274714fb8", "913961d716a4102d3428224f999295f12438399f", "0c79a39a870d9b56dc00d5252d2a1bfeb4c295f1", "f328137ba1924c8b451be32c7bd8d1d9a5c392d6", "5fea26746f3140b12317fcf3bc1680f2746e172e", "47a2727bd60e43f3253247b6d6f63faf2b67c54b", "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "86a8b3d0f753cb49ac3250fa14d277983e30a4b7", "0ea38a5ba0c8739d1196da5d20efb13406bb6550", "37179032085e710d1d62a1ba2e9c1f63bb4dde91", "477236563c6a6c6db922045453b74d3f9535bfa1", "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "3d0b2da6169d38b56c58fe5f13342cf965992ece", "9a59abdf3460970de53e09cb397f47d86744f472", "82e66c4832386cafcec16b92ac88088ffd1a1bc9", "e790a2538579c8e2ef9b314962ab26197d6664c6", "ff8db3810f927506f3aa594d66d5e8658f3cf4d5", "2faa09413162b0a7629db93fbb27eda5aeac54ca", "1da83903c8d476c64c14d6851c85060411830129", "7d41b67a641426cb8c0f659f0ba74cdb60e7159a", "2d71e0464a55ef2f424017ce91a6bcc6fd83f6c3", "a538b05ebb01a40323997629e171c91aa28b8e2f", "5fe3a9d54d5070308803dd8ef611594f59805400", "38f06a75eb0519ae1d4582a86ef4730cc8fb8d7f", "3ce96f03874d42345c0727edc78b6949b20b4a11", "5798055e11e25c404b1b0027bc9331bcc6e00555", "164d8909f6b7cc9d0a39eb22fe0a9b9bd0698c2f", "aa892fe17c06e2b18db2b12314499a741e755df7", "8b8728edc536020bc4871dc66b26a191f6658f7c", "2d0363a3ebda56d91d704d5ff5458a527775b609", "69a68f9cf874c69e2232f47808016c2736b90c35", "bf4f79fd31493648d80d0a4a8da5edeeaba74055", "c0270a57ad78da6c3982a4034ffa195b9e932fda", "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "550351edcfd59d3666984771f5248d95548f465a", "0faee699eccb2da6cf4307ded67ba8434368257b", "c1dfabe36a4db26bf378417985a6aacb0f769735", "0b6616f3ebff461e4b6c68205fcef1dae43e2a1a", "2dd2c7602d7f4a0b78494ac23ee1e28ff489be88", "041b51a81a977b5c64682c55414ad8d165c1f2ce", "20e505cef6d40f896e9508e623bfc01aa1ec3120", "133dd0f23e52c4e7bf254e8849ac6f8b17fcd22d", "46e0703044811c941f0b5418139f89d46b360aa3", "0163d847307fae508d8f40ad193ee542c1e051b4", "55966926e7c28b1eee1c7eb7a0b11b10605a1af0", "1b6394178dbc31d0867f0b44686d224a19d61cf4", "b4bbb9ad9768f130ae51185494226be558da695c", "59bfeac0635d3f1f4891106ae0262b81841b06e4", "5763b09ebca9a756b4adebf74d6d7de27e80e298", "0b3786a3a0ea7ec08f01636124c183dbee8f625f", "affa61d044daa1a7d43a6803a743eab47c89c45d", "0fcf04fda0bea5265b73c85d2cc2f7f70416537b", "3f5693584d7dab13ffc12122d6ddbf862783028b", "e88988f4696e7e2925ed96467fde4314bfa95eff", "345bea5f7d42926f857f395c371118a00382447f", "6d8e3f3a83514381f890ab7cd2a1f1c5be597b69", "73fd7e74457e0606704c5c3d3462549f1b2de1ad", "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "5ac23ecff8ad11ba6de4ce09b058d05e1d41d01c", "bbc4b376ebd296fb9848b857527a72c82828fc52", "99d7678039ad96ee29ab520ff114bb8021222a91", "0486214fb58ee9a04edfe7d6a74c6d0f661a7668", "0be418e63d111e3b94813875f75909e4dc27d13a", "385750bcf95036c808d63db0e0b14768463ff4c6", "fc2bad3544c7c8dc7cd182f54888baf99ed75e53", "bd9e0b6a90b51cc19b65f51dacd08ce1a7ccaac5", "782188821963304fb78791e01665590f0cd869e8", "56e25358ebfaf8a8b3c7c33ed007e24f026065d0", "d73d2c9a6cef79052f9236e825058d5d9cdc1321", "cacce7f4ce74e3269f5555aa6fd83e48baaf9c96", "c1f05b723e53ac4eb1133249b445c0011d42ca79", "314c4c95694ff12b3419733db387476346969932", "9c23859ec7313f2e756a3e85575735e0c52249f4", "0653dcdff992ad980cd5ea5bc557efb6e2a53ba1", "71bbda43b97e8dc8b67b2bde3c873fa6aacd439f", "f4b5a8f6462a68e79d643648c780efe588e4b6ca", "34dd83115195676e7a8b008eb0e9abe84b330b32", "76d1c6c6b67e67ced1f19a89a5034dafc9599f25", "c8fc771fbc889ad70e841d93cfb7e38cfa1be1f1", "06a6347ac14fd0c6bb3ad8190cbe9cdfa5d59efc", "85cf25b9c92ffea7d72d33067b2836208d14910c", "189b1859f77ddc08027e1e0f92275341e5c0fdc6", "d666ce9d783a2d31550a8aa47da45128a67304a7", "9b6d9f0923e1d42c86a1154897b1a9bd7ba6716c", "57c270a9f468f7129643852945cf3562cbb76e07", "bfd383f309b18c2934bb802eac0783b145686b77", "a25106a76af723ba9b09308a7dcf4f76d9283589", "556545eec370b9d300fc044a1aa63fc44fd79b0f", "25c3cdbde7054fbc647d8be0d746373e7b64d150", "15e12d5c4d80a2b6f4d957a3ffd130564e9bab3a", "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "919d3067bce76009ce07b070a13728f549ebba49", "aefc7c708269b874182a5c877fb6dae06da210d4", "3607ff03515544df3279d9de553bc774cc1f4bd0", "cf73b404f9ac98f8d5801f54ca40dd1d792c701a", "ee1f9637f372d2eccc447461ef834a9859011ec1", "c352b5ccd6fa1812b108d74d268ce3f19efccf0b", "3bd10f7603c4f5a4737c5613722124787d0dd818", "784a83437b3dba49c0d7ccc10ac40497b84661a5", "2adffdffa16475ae71bb2adcf65840f01f1e53f7", "9b246c88a0435fd9f6d10dc88f47a1944dd8f89e", "5945c0f0bb7ac410df3eeb26083d35eccc7e8734", "778c1e95b6ea4ccf89067b83364036ab08797256", "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "676f9eabf4cfc1fd625228c83ff72f6499c67926", "b3154d981eca98416074538e091778cbc031ca29", "06bad0cdda63e3fd054e7b334a5d8a46d8542817", "06b0a66fd062a9bc7f0d94e270e4ddf47b275c10", "c614450c9b1d89d5fda23a54dbf6a27a4b821ac0", "cf2e1ebb9609f46af6de0c15b4f48d03e37e54ba", "552122432b92129d7e7059ef40dc5f6045f422b5", "2f59f28a1ca3130d413e8e8b59fb30d50ac020e2", "0093ace3e220869ac9aa407c7fb940ddb82c7a2b", "5dfebcb7bfefb1af1cfef61a151abfe98a7e7cfa", "2c0acaec54ab2585ff807e18b6b9550c44651eab", "1e8394cc9fe7c2392aa36fb4878faf7e78bbf2de", "fd615118fb290a8e3883e1f75390de8a6c68bfde", "43476cbf2a109f8381b398e7a1ddd794b29a9a16", "0e454686f83284ced2ffc5740829552a032671a3", "5922e26c9eaaee92d1d70eae36275bb226ecdb2e", "29f27448e8dd843e1c4d2a78e01caeaea3f46a2d", "90e56a8515c8c2ff16f5c79c69811e283be852c7", "131178dad3c056458e0400bed7ee1a36de1b2918", "0cf7741e1fdb11a77cdf39b4dda8c65a62af4f23", "c63b614865bd9e5b4944894083e5e9d4aba82d86", "4b60e45b6803e2e155f25a2270a28be9f8bec130", "3f501130dcae183c3e5abcc71cb40e29b791c446", "391b86cf16c2702dcc4beee55a6dd6d3bd7cf27b", "8bbbdff11e88327816cad3c565f4ab1bb3ee20db", "6043006467fb3fd1e9783928d8040ee1f1db1f3a", "35d42f4e7a1d898bc8e2d052c38e1106f3e80188", "53509017a25ac074b5010bb1cdba293cdf399e9b", "189a839c708f95772ccaad72bfb4d0321d1535d6", "271df16f789bd2122f0268c3e2fa46bc0cb5f195", "061e29eae705f318eee703b9e17dc0989547ba0c", "64cf1cda80a23ed6fc1c8e66065614ef7bdeadf3", "2e475f1d496456831599ce86d8bbbdada8ee57ed", "3137a3fedf23717c411483c7b4bd2ed646258401", "992e4119d885f866cb715f4fbf0250449ce0db05", "743e582c3e70c6ec07094887ce8dae7248b970ad", "776362314f1479f5319aaf989624ac604ba42c65", "1910f5f7ac81d4fcc30284e88dee3537887acdf3", "d2d9612d3d67582d0cd7c1833599b88d84288fab", "a0d6390dd28d802152f207940c7716fe5fae8760", "29120de3b01fbb6b18665563a3397e3e30a85872", "42eda7c20db9dc0f42f72bb997dd191ed8499b10", "0ad4a814b30e096ad0e027e458981f812c835aa0", "9821669a989a3df9d598c1b4332d17ae8e35e294", "92c4636962b719542deb984bd2bf75af405b574c", "7e8016bef2c180238f00eecc6a50eac473f3f138", "26b606ac6beb2977a7853b032416c23c7b36cb8a", "b75eecc879da38138bf3ace9195ae1613fb6e3cc", "dc5d9399b3796db7fd850990402dce221b98c8be", "7a1ce696e260899688cb705f243adf73c679f0d9", "24de12df6953151ef5cd0379e205eb0f57ff9d1f", "6324fada2fb00bd55e7ff594cf1c41c918813030", "01e12be4097fa8c94cabeef0ad61498c8e7762f2", "1251deae1b4a722a2155d932bdfb6fe4ae28dd22", "4f0d9200647042e41dea71c35eb59e598e6018a7", "6256b47342f080c62acd106095cf164df2be6020", "f7b4bc4ef14349a6e66829a0101d5b21129dcf55", "aeff403079022683b233decda556a6aee3225065", "09b80d8eea809529b08a8b0ff3417950c048d474", "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "0c84bc7fe88b908835f42b27b0093fb8e83e5b6c", "23c3eb6ad8e5f18f672f187a6e9e9b0d94042970", "7a6d9f89e0925a220fe3dfba4f0d2745f8be6c9a", "4e343c66c5fe7426132869d552f0f205d1bc5307", "0f4eb63402a4f3bae8f396e12133684fb760def1", "3bd56f4cf8a36dd2d754704bcb71415dcbc0a165", "7914c3f510e84a3d83d66717aad0d852d6a4d148", "50614ff325f0c8ca20f99efc55d65a8d4cc768cd", "3a2a37ca2bdc82bba4c8e80b45d9f038fe697c7d", "26bbe76d1ae9e05da75b0507510b92e7e6308c73", "7ab930146f4b5946ec59459f8473c700bcc89233", "3519241c9ac13ca43e533844e2d3644d162dde22", "4307e8f33f9e6c07c8fc2aeafc30b22836649d8c", "7923742e2af655dee4f9a99e39916d164bc30178", "706b9767a444de4fe153b2f3bff29df7674c3161", "be437b53a376085b01ebd0f4c7c6c9e40a4b1a75", "73ba33e933e834b815f62a50aa1a0e15c6547e83", "f63b3b8388bc4dcd4a0330402af37a59ce37e4f3", "a695c2240382e362262db72017ceae0365d63f8f", "89de30a75d3258816c2d4d5a733d2bef894b66b9", "d61578468d267c2d50672077918c1cda9b91429b", "68bec0e90fb276d9ee9dde445aaf50255e85a116", "5502dfe47ac26e60e0fb25fc0f810cae6f5173c0", "4cb0e0c0e9b92e457f2c546dc25b9a4ff87ff819", "124538b3db791e30e1b62f81d4101be435ee12ef", "0db36bf08140d53807595b6313201a7339470cfe", "071ec4f3fb4bfe6ae9980477d208a7b12691710e", "8557914593e8540fcdd9b11aef076f68d41d3b4b", "11dc744736a30a189f88fa81be589be0b865c9fa", "f0f0e94d333b4923ae42ee195df17c0df62ea0b1", "8a1e95b82d8cf27e0034e127091396efd4c8bd9e", "27218ff58c3f0e7d7779fba3bb465d746749ed7c", "2af620e17d0ed67d9ccbca624250989ce372e255", "96f4a1dd1146064d1586ebe86293d02e8480d181", "6a38c575733b0f7118970238e8f9b480522a2dbc", "8a2bedaa38abf173823944f0de2c84f5b2549609", "d8b4698d5dcdcf25c6d639bd5ac6073a839bc4e1", "d065996d413814b58092d4b881f3ac6e9d6b15d8", "54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3", "5666ed763698295e41564efda627767ee55cc943", "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "7d94fd5b0ca25dd23b2e36a2efee93244648a27b", "3291aff20c171927eed7896eba659ce599ccb666", "f5aee1529b98136194ef80961ba1a6de646645fe", "ff25c6602305ac46e9c35ffa4e30b14d679a5413", "e1f790bbedcba3134277f545e56946bc6ffce48d", "96fbadc5fa1393d59ce0b8fd3d71aebc1fe35b40", "633101e794d7b80f55f466fd2941ea24595e10e6", "7668ce758af72df8e0a10d4b3cb0fd58092fe3e1", "b0b944b3a783c2d9f12637b471fe1efb44deb52b", "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "1617f56c86bf8ea61de62062a97961d23fcf03d3", "44b30a1048465cd56904cdcbec8e79dffab693bd", "77c3574a020757769b2ca807ff4b95a88eaa2a37", "a9791544baa14520379d47afd02e2e7353df87e5", "ca447d6479554b27b4afbd0fd599b2ed39f2c335", "565f7c767e6b150ebda491e04e6b1de759fda2d4", "4a4b5ae5793696b861aa009932e7a121d36ad67a", "042825549296ea419d95fcf0b5e71f72070a5f0d", "abe4c1d6b964c4f5443b0334a44f0b03dd1909f4", "81a4397d5108f6582813febc9ddbeff905474120", "09d8c49197a885299bd18fdce9764ed66187b83d", "4d625677469be99e0a765a750f88cfb85c522cce", "5e6ba16cddd1797853d8898de52c1f1f44a73279", "2b6f6800bcb7dbf09e1caac725f39ed14bb7db50", "21e828071249d25e2edaca0596e27dcd63237346", "f39783847499dd56ba39c1f3b567f64dfdfa8527", "f4ebbeb77249d1136c355f5bae30f02961b9a359", "6acb911d57720367d1ae7b9bce8ab9f9dcd9aadb", "458677de7910a5455283a2be99f776a834449f61", "ab8f9a6bd8f582501c6b41c0e7179546e21c5e91", "36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958", "edbe675596c8452fce625477fe6b0a3f0eaf39ee", "356a144d2aa5cc5e74d178dae3963003871aa8a1", "ac48ecbc7c3c1a7eab08820845d47d6ce197707c", "c63a565dcf3114579e555feda498de6a0563d698", "42f6f5454dda99d8989f9814989efd50fe807ee8", "4f591e243a8f38ee3152300bbf42899ac5aae0a5", "3312eb79e025b885afe986be8189446ba356a507", "9f8ebf149aed8a0eda5c3375c9947c6b26eb7873", "1afd481036d57320bf52d784a22dcb07b1ca95e2", "0058cbe110933f73c21fa6cc9ae0cd23e974a9c7", "79dc84a3bf76f1cb983902e2591d913cee5bdb0e", "9e9052256442f4e254663ea55c87303c85310df9", "9cc99d8190f83b39f99ddd14fd04b809e1987610", "f95ba7673789d1b4118d30e360a5a37fd75d3961", "dcc38db6c885444694f515d683bbb50521ff3990", "177d1e7bbea4318d379f46d8d17720ecef3086ac", "0eed55ea9f401f25e1474cdbaf09367f44b4f490", "424e52158b43e40f356af7eafb35c91a9e13db30", "5c3dce55c61ee86073575ac75cc882a215cb49e6", "ab133af7ec2726f712dd049213e6a27449d28c78", "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "f0a3f12469fa55ad0d40c21212d18c02be0d1264", "3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10", "4d3c4c3fe8742821242368e87cd72da0bd7d3783", "71dcbca34d71bda0bc41c33c04d2c1a740274feb", "0182d090478be67241392df90212d6cd0fb659e6", "8518b501425f2975ea6dcbf1e693d41e73d0b0af", "869a2fbe42d3fdf40ed8b768edbf54137be7ac71", "d9318c7259e394b3060b424eb6feca0f71219179", "53f5cb365806c57811319a42659c9f68b879454a", "32d8e555441c47fc27249940991f80502cb70bd5", "52a9f957f776c8b3d913cfcd20452b9e31c27845", "5b73b7b335f33cda2d0662a8e9520f357b65f3ac", "0273414ba7d56ab9ff894959b9d46e4b2fef7fd0", "3d2d439ead6e32877ce40e5568e62dee4a877836", "37007af698b990a3ea8592b11d264b14d39c843f", "046865a5f822346c77e2865668ec014ec3282033", "f834c50e249c9796eb7f03da7459b71205dc0737", "1fcb905e4505a781fb0b375eb470f5661e38ae39", "49c3750efa8dd268c7f9ce228e1b8d16a5df472b", "177bc509dd0c7b8d388bb47403f28d6228c14b5c", "fdfaf46910012c7cdf72bba12e802a318b5bef5a", "2d38fd1df95f5025e2cee5bc439ba92b369a93df", "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "f05ad40246656a977cf321c8299158435e3f3b61", "f3fcaae2ea3e998395a1443c87544f203890ae15", "390e212d4a874d8d2256e55fe0dee9193e4c376a", "318a81acdd15a0ab2f706b5f53ee9d4d5d86237f", "3eec9e8d5051e84624ea7e009a8947403dee99d1", "f1da4d705571312b244ebfd2b450692fd875cd1f", "d98a36081a434451184fa4becb59bf5ec55f3a1e", "88691c3b74753a8bd67459896c8660deece9a2b0", "20d6a4aaf5abf2925fdce2780e38ab1771209f76", "5b89744d2ac9021f468b3ffd32edf9c00ed7fed7", "3ada7640b1c525056e6fcd37eea26cd638815cd6", "0b51197109813d921835cb9c4153b9d1e12a9b34", "4568063b7efb66801e67856b3f572069e774ad33", "4b7f21b48c7e0dc7334e36108f558d54642c17c0", "ea218cebea2228b360680cb85ca133e8c2972e56", "378ae5ca649f023003021f5a63e393da3a4e47f0", "e51927b125640bfc47bbf1aa00c3c026748c75bd", "435642641312364e45f4989fac0901b205c49d53", "a6e8a8bb99e30a9e80dbf80c46495cf798066105", "1c4fa67f46181af06cb4b44bb5c11f8c1473e75a", "72119cb98f9502ec639de317dccea57fd4b9ee55", "c253694c153cc016d745df089bae0220e7f297ee", "57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1", "8e55486aa456cae7f04fe922689b3e99a0e409fe", "2cf3564d7421b661e84251d280d159d4b3ebb336", "4622b82a8aff4ac1e87b01d2708a333380b5913b", "0fe96806c009e8d095205e8f954d41b2b9fd5dcf", "dc107e7322f7059430b4ef4991507cb18bcc5d95", "adf7ccb81b8515a2d05fd3b4c7ce5adf5377d9be", "2020e8c0be8fa00d773fd99b6da55029a6a83e3d", "191674c64f89c1b5cba19732869aa48c38698c84", "aa577652ce4dad3ca3dde44f881972ae6e1acce7", "d79365336115661b0e8dbbcd4b2aa1f504b91af6", "d6cecf6c3e598dce18438dbb063d8c861e7edbf6", "9745a7f38c9bba9d2fd076813fc9ab7a128a3e19", "38a9ca2c49a77b540be52377784b9f734e0417e4", "0830c9b9f207007d5e07f5269ffba003235e4eff", "02dd0af998c3473d85bdd1f77254ebd71e6158c6", "d05513c754966801f26e446db174b7f2595805ba", "233be88c7ce1fbf1c1680643dca7869dc637b379", "24b5ea4e262e22768813e7b6581f60e4ab9a8de7", "8e4808e71c9b9f852dc9558d7ef41566639137f3", "c9424d64b12a4abe0af201e7b641409e182babab", "7b32f18a665162687059adc18f14a5196ea3ba2f", "d9ef1a80738bbdd35655c320761f95ee609b8f49", "159e792096756b1ec02ec7a980d5ef26b434ff78", "1177977134f6663fff0137f11b81be9c64c1f424", "8d0bc14589dea1f4f88914ffcb57a5c54830f2cc", "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "db227f72bb13a5acca549fab0dc76bce1fb3b948", "fd7b6c77b46420c27725757553fcd1fb24ea29a8", "90221884fe2643b80203991686af78a9da0f9791", "54756f824befa3f0c2af404db0122f5b5bbf16e0", "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "9590b09c34fffda08c8f54faffa379e478f84b04", "4c6886c489e93ccab5a1124555a6f3e5b0104464", "2d84c0d96332bb4fbd8acced98e726aabbf15591", "5594beb2b314f5433bd7581f64bdbc58f2933dc4", "4c8e5fc0877d066516bb63e6c31eb1b8b5f967eb", "5a8ca0cfad32f04449099e2e3f3e3a1c8f6541c0", "75da1df4ed319926c544eefe17ec8d720feef8c0", "1a89f67e8578659e02d3fb94a1c258a80fde8993", "19ddb005ddfbdec5109f6fd0672b38d6079753b1", "f3a4599d501717db1714140a0425971ef4f330ff", "06384163c07afffc91a890116d42fb1c1a97dbd9", "511fad07b943f088e487ea09ffc6c89114bb3c3e", "dd41010faa2c848729bc79614f1846a2267f1904", "93e056d9aa4ff18408a1bf2d027cd841bc1d2f06", "61db7d306bde0622685450ca38d26da33e00d3b1", "86b69b3718b9350c9d2008880ce88cd035828432", "4377b03bbee1f2cf99950019a8d4111f8de9c34a", "f9d4b04b323eebcbc996d379f764fc10c96f65e4", "91d3850bdf35f40b7a0738073727b60fd26beac4", "f4746bd863991c55a1139982c15d9e49a5f9e905", "104ff622ccd51419cbddf9636f7794987be04495", "3899b49ca98a134fb9d33feab458f2092da32096", "6ab5c128fa94c833a77ae3b3b71c3f06b733c5b8", "de9ddf5719e14fd49d0ed4686d040c7445147129", "c2c20d0826836a80adf0124a4a4c66f9b3eb0be1", "6b3ae3e8e1107ae8017966eb4c2abed518451448", "f8703ae50ef94cfb59c74e772f2a804dcf6e051f", "0916866570527b609566404ab80ae066cbd3ca7c", "14d4c019c3eac3c3fa888cb8c184f31457eced02", "e71ff84c4527a6ed48e37094a82fb87fad530ea7", "5d32b19bf1c250c811ba56c37e87b8acda27aef1", "f8f57790f190cc7fbbb7d5fdbbf7545e11e91b67", "ce114dd0b87b68bfb30b73e2b0957e3dd4856a02", "a533ce73fe37e304bf47218a4acb817402086674", "765c7f68514764451da690bd78693e94b7016277", "c8918361d5e636143d07868ad750d34d1c7d5578", "ec01797ccac5918cfc798cbe0492645daa60192d", "c8702464d571e04eb5bd2ad75a6c36c8d1605e2c", "d1764e7cc0786d96bdf64ae51f82a9995333a737", "5cfe03c5a0518fe554f4c6709bbee8fa1f3ed0e8", "dd656e5f21003a33b10eb3574a093774a7081d46", "919a0935d8d127aa5cea44327fc8f47f9724e5d9", "5a1255d65e8309131638b3eb94aad5c52ab3629a", "70559a849659ac9fa2d4799f9199a804a80fc49a", "761304bbd259a9e419a2518193e1ff1face9fd2d", "08e674eb16f7c9951c6d480fdbc22b2ad476c978", "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "e98a30293a80976aa79259d8cae2d06d43f0918e", "805b937fd715dc9e9bc2e9f06b6144b24d74e221", "068e70cfd3d5935870c8ce82be412dda5bcd4228", "4bf0f8fcc904e7b51a6adb15cd60d4edd950b859", "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "ab2c07c9867243fad2d66fa6aeabfb780433f319", "893c0067d984510aa2840ba1da23dc89988f32f5", "ab83283cb2d59c4694cea1cb964351c441fed675", "5a7525a6ceb754ce4ed28d8f323c6e52e276bba7", "d5bdd93bbaf01b1430b78893f94314642b55495d", "eda210fed70dce6e1888a2c4c154bd41a265fb86", "15896a568689dfb0a21472682c903b78737387dd", "4ddd55a9f103001da8dc24d123d9223dbb67f884", "8e8a6623b4abd2452779c43f3c2085488dfcb323", "ec3d4d00a569c98b45786d50c7bd2f25bf0a6b74", "4700f5954dd9873fbe5b88a7629b71074a95b3c6", "d0fe28afd4b2ab64cf84346ac5d75d5fe6788e4e", "ef5c7e79f3157af726b118316752fded48f2eba3", "0af4b7b0cc01fbdae6ba973ed0ae420708d3b051", "1c46a33da36d47356cd9189a41c55ac9f5d34847", "30861d747c87e2e838c1c30eed334b17cc93cdb6", "aef6f6ee3f062285247b078386a49604749a7a02", "9bbaaf095eadd40e3b0f261edf483ad1ae4f3137", "66305f1b826082ddea107e126b5c3468fa5f962e", "d0ea54f1a97a1922c679f88c6167328da472a259", "65e68384a832282d5e894a3d1e62127475b68754", "9e09c86543d4b9207ce6216775d7e094d9046120", "b7c5f885114186284c51e863b58292583047a8b4", "aac101dd321e6d2199d8c0b48c543b541c181b66", "a2afcabf3b3f4bbbb84c972bdf10f061350334db", "e7436b8e68bb7139b823a7572af3decd96241e78", "10fc3d49c840329db0d2f6d83ab5f2b0bc058a4e", "cbcdb9a0d1bd8481caedaf1872763547e062b5c9", "94edf9873c51999a109ff544fb034047708dbb35", "1add90a3b956011e1503a6d4bdbf41842299bb99", "327cc4424139f882b9f0fb839f50c8e18704f482", "cead57f2f7f7b733f4524c4b5a7ba7f271749b5f", "47294b53e0af2be666867e914b8788a73feb3753", "31609bc244cc8ed3d78af93ab615eeb9ee4d2501", "3e55a750f1fc64ae25cc510beb7aaa8fa4e009d3", "20b5a959cc924c2f9496f45504ce8c1a71727520", "8518933a8e23833326011b3993af0335f4c83c49", "37f25732397864b739714aac001ea1574d813b0d", "20a4a71d779c85614051415675695b4e8d4a9191", "9467791cf63d3c8bf6e92c1786c91c9cf86ba256", "de40c5b69c7d3dbb919e89b34c821afc44975278", "4c7470fe759b83a104fb6be5190877e96787ed96", "74728b77598b0d7d632ef3631cfa6688dc7f864c", "85db5cd1f6eb2d36256795210331667af56355ec", "ed575e997ebb5df75e1bea804dda4b7bc96f9c9f", "3ab1241b8839648c2ee13d0b9861946dc4e48a87", "8534eea03b25a3cb03f800c149b6e5f2608481a7", "740e095a65524d569244947f6eea3aefa3cca526", "e21d96a85df0d2d8cd685316efa216b61a0e1ba8", "41ad3d007a217890baef80c9b18fa45d2c82c0e2", "becc891a7548fe38a15b224e2592d97dd0efe31e", "3148c8814f659e922a045869dd6dda250b34f946", "124a259d81a06cbad1f8d935f98ec6d45e296ff6", "8dfd4f3b96d7018b75a215dadc0cabd2d1d328ea", "ffad55bd69728976e6a532e75b92f62a0e78d29b", "a7dfe697959ae8b15eb795d4692a52c2a5856d88", "53d3738e867cae5f19f2bd9bb96d0d06eb0362b0", "7f2f69e38fae79011f93d06b0ae5c0f15eab659c", "076b643d92703de0c7786de2b08cca7fdf714663", "520e4b21302b99e5f289075541f9fe4959a639a4", "9a1967db627dfbc3f3519970d403c57be0e90ea2", "3ff0edfd84edd9ee42fa64511c7ddd7ae5716c09", "fe9b0accf0e7d3821bc5d7d62937499a441633c9", "7ace44190729927e5cb0dd5d363fcae966fe13f7", "138625d22b594a9301fd5d4e94b1357e0cd24a50", "c3231c32839b8317530f4624f8b2b028cb02ff5a", "a059f480770e613593cc8be8eb779a96074672f6", "3fffeda70f3d1a798ff5f1dbfcf5ecb30eaa5c4e", "287afb29b5aef6255a5882418b87e6b41cc9b29d", "f3ff9544d117dcdb001c07dfe37c4ad46d4a23d9", "06830abc752757837883b4950160bba167a90cdf", "36d14d9f241790aed0097b53232901811ebf90bc", "9a49c7d584359bb444a81bcca55b03eb6b944c4c", "7c70697c3db90adca733a4e36cd5e1d603551da4", "b380d7cd4bd8087a2b106233ddaa86a341f0d0bf", "3490683560ca18d19884949dccca0ad7c98d4749", "286c1e0b34ee6d40706ca6a02604420a192204e7", "233053b5962d4001adc7616c07616d1b43048a7f", "ff7de2ea4d21e7d32d7f07e07fd278bebf6b5d66", "0376e3273d2c7bf2af53fbf5904c70bdb56383d1", "62e698f4d2c9c70f51012bb3a4940783d9e01cc6", "f049ea3ca734c217c380a1802d15a6d85378f55d", "f6dd24709765025f6b2de1106995843624e149a8", "09396d72f2f8f82794fd6a2a36d173c86a56904c", "c2021ac068c23ba6a5360312fbfa0c0d2cfb47fd", "07faa38d4d0e9d14d72bd049362efa83fae78ee3", "755d1f600b493136b71e8b7fec9b7d4c6af7bf21", "6ddc0558a2e0f97b36e6af2e3f3858ba184cd257", "fa3ae082e585e131e83b5ce934c6549d6a056205", "2f0d5cd2d25ea2f3add0139cf4b61f358435bab8", "12c2f7cee1f6abff0d4de9b4b90caa3b5c6084a0", "b8d5d2e4ad3c20657b7769391e0cd0bb47ba568d", "cc4a2cab31ed06d0d8723df0bdf8cd0ece71bbe9", "af1eab707e690e73a5b9073ed07a0436fd4e0b66", "1d1ffd3a372e9470c43ff785436165940276212b", "6fb3c2dc0facf6240618f33cd851053d192b6f8d", "8af0af4545078d5b92a40cf7c2e95113496babce", "2ca761938bd789b82d1a4ca85e7b8d5661093660", "f9c563ec6c8238aaf420327bd7f9d8fbf8de3bce", "07a17771ca169bc01deb8f7dac1ff0c574ddc512", "976103822fbb72e71aa2b528ec67915a7b151688", "ae88ee0fe6064617422ee00cd452c0c8d8aa1ba9", "024627662bc96e4df09bd2617e5258cc823d2d38", "55d9b72b2110e3a0a6fd7b002eee17945280ba15", "84676c330e4f8962703ca531db761c96bfda8067", "a92b0dfcf17686a8048fb286c6ecf2417243a3ad", "11a2f0c7bdc78bcf149bae0a07ded2aa0ce33ab5", "6e4f07882d417a76fd7f25d89e848f944c3b3c3e", "e58a1ec612091abf014bb48481def84f1b397939", "578117ff493d691166fefc52fd61bad70d8752a9", "852c48452295e48945779491e9f6b076c66d7eee", "5bd84335e169e3c019eaf4dab64721e5b32b3870", "89f5eade7955507ea033770d92b995a6c48627c3", "9ecddc8c91c2263607aae9dba7d3bc05e75cc219", "b099df0a0c5abeff5586a1389e9278613e6c0c64", "de623c6bdd097990077fc221f841221890e9bdd5", "ff65a723ff70e92b543548288ed7f77a8b0a8f6e", "a41c607603b1191d3bf95366b2e3e2eed8d9b0a3", "dd688b5e438f0b6bcd7121de03e518559516a306", "9989ad33b64accea8042e386ff3f1216386ba7f1", "ce9b24f272b15b37d69b61ec8ecb3210ca6047e7", "37586efdc0d56b1179aee3059bc18c84483e3bb9", "fa641327dc5873276f0af453a2caa1634c16f143", "8036bc816101ac5c000dab700d2108b907d832d8", "1b0cc9f0ffd8df93c8006da9c525ca9b84fb1211", "3a5cde0caa9cfc7b6f3c04ebc3d798e7e73e216d", "a13a27e65c88b6cb4a414fd4f6bca780751a59db", "d35f6b9e29eac5d5249143685075a9ec2036e2bb", "0ece525c9d350910c8cbbf8928de357a310f4f7a", "05469df372a567dcef62b7ba447685fd5a5efb80", "c370f762968f6379c2cda1e18e71334494aa3b72", "1bf570bd40b3adced1e47dbcceffe50573f81845", "0cdd98adf48018dba1a92e8a270a61b8d5739c42", "7ce9e79cb63e33faa3be0c534664076e420dd7a1", "4e19917a786c611ffdecd171fae37183ad55ad49", "34fd227f4fdbc7fe028cc1f7d92cb59204333718", "5cd3a766c46423dbfa7c190a16412374e9cb700a", "5588b6b8dc57e8cd63528087b103d6dc00a86d98", "5bb92336195e51ec1b22e5e67a0aaf2964df2513", "7d40e7e5c01bd551edf65902386401e1b8b8014b", "56359d2b4508cc267d185c1d6d310a1c4c2cc8c2", "0252256fa23eceb54d9eea50c9fb5c775338d9ea", "919b1f80f818c2c1710a674536d4957890bbfd82", "e706d1e5aa444798fea933b399a0079f7bb63572", "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "32ebb099598dd8224c00628a715cdd9acf3518a7", "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "73d23c0e81c39b25cc43521a8f2697912d6cff94", "fbd50cb8b107a998fb1c2de0757318b3f2e89b02", "b161f4e6ebb2260deeacf3d05de5bd70c811e66d", "61c74509af666f062c906da767221cf5a25c3c84", "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "8dc52b993715356f35e59b7541f52f2c76466168", "0ead390b8edbda1653834c77d547fd35bd2ee8f5", "0a84cb949a12c619c6558f1a267710e9a7b71726", "266ef6c6f1679d7666621fc1589dd18f9029f143", "1d5aad4f7fae6d414ffb212cec1f7ac876de48bf", "15f70a0ad8903017250927595ae2096d8b263090", "cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3", "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "6c6bc06b7df4bf363838bfa2bacc79e0bb5cf0b9", "d4180d19ce7d6d9574d43bec320915d6562a9dc5", "f1d6da83dcf71eda45a56a86c5ae13e7f45a8536", "095be7eaf5429ab08d02a9e05f52f5bb81bcd838", "9ceea7b5de9b8f086d46ff1c932d188a9b59e769", "17768efd76a681902a33994da4d3163262bf657f", "75858dbee2c248a60741fbc64dcad4f8b63d51cb", "c03ce09b419b6a15c1228e344a900d8c54bddc78", "b1c3ad30acfa909d817c60a6556f6d362d6d15bb", "12948518bb457d0d302bbf00160f4165ce089b9b", "7a982ca3fdf740874db2bb4cd04041a014b5d374", "89f091ccbf2a428c5cee5339c4dadb310d6dab03", "0166abc36d196b9c434a30fc5cdaf82c429ef852", "26d4711763df78580adbe7c775f80b2240cc6af3", "a2c08d63682b348a9848a77f9b97378a37a6b447", "fddce785ccc3bc5534e2ad00c55e9d07cd92c6ec", "59d492a80f190a71a3ed99fe03c50987cc278249", "9af9a88c60d9e4b53e759823c439fc590a4b5bc5", "7dde459312522985c85c03f6b2dd16c9da5ccf74", "519a31e8430c953b5c9767b5537c765ec1a26491", "162ea969d1929ed180cc6de9f0bf116993ff6e06", "bd0000fc37cecf32798aaae2c9571b010bbb52f6", "6412d8bbcc01f595a2982d6141e4b93e7e982d0f", "77869f274d4be4d4b4c438dbe7dff4baed521bd8", "c32e8eaf0ae9122a6df3e44118166bfd3f1bab88", "64e205799096448a50ddee218bcd3b81ff342cba", "7171b46d233810df57eaba44ccd8eabd0ad1f53a", "a34d75da87525d1192bda240b7675349ee85c123", "d9e66b877b277d73f8876f537206395e71f58269", "f20e0eefd007bc310d2a753ba526d33a8aba812c", "d90367a57012edb08c4a23e376955197439120a4", "04f9dc91232c705a09ce69f588bd4cc0507ccf8f", "9c38986568db937527c3a6c8d847c317136eac74", "e1a977d97cc108afc9d6811d9bdcff3e8f39846c", "ae87400ac2b1f1d11b2a9cc1b5bf2a2a155fbba6", "58cb6677b77d5a79fc5b8058829693ca30b36ac5", "169d37965bfb8ac1c1dcd502ab401c6cd0622251", "9b8d73e83c111268745311e03f0c0f7f6c92c9f0", "f080cca9bbe998ed13d42f20c316b50b037e3f35", "d360968cbcca774bf0b70bb0f3fc870aea121924", "171a4ef673e40d09d7091082c7fd23b3758fc3c2", "6f4ec006b6b9da4982169adea2914aa3d14ee753", "7ba4d54a9862f0c4c4bb2095616fc1b4e3dae923", "19ee4fb382e9a5042652abe8206a4f2b9e420bd1", "0c87bd0eeb5c3928174dd17c1cb08c42516f8c81", "460852dc965390d116e05e2dc28681a9abe08f2d", "67484723e0c2cbeb936b2e863710385bdc7d5368", "8cce8fe25effa5c9451e2496b4659ec0f8eccf1c", "7f44973b8cb78be47d55d335f40a54aa00ef814c", "831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9", "5f40693c44b56fca1b94dfd3bc97b6d7be1b61d5", "7ccc0f8748e499a4131f0f0ba94cc7d79c3f5cb6", "946017d5f11aa582854ac4c0e0f1b18b06127ef1", "bd8b25a4f16a46f81e6a07cf305650f17dbb5020", "4e83b9cfd19b7963e2044916821d7a09bbd1574d", "4881f6c1d0aaf019fc793088b60d8edd787002b9", "c8e438dbfbd6c2d04a3b4df2fb6796e6d279290e", "1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d", "831d661d657d97a07894da8639a048c430c5536d", "39075ff687908133c2f0fa9a578db421b4f3805a", "e5a1b8c7f496900451014619387b429659faaf9c", "22563bae7ffb1a4e3ae334a9d5d7211edc598a64", "276282d6e7b617833f8b96c3fba65856ccbeae73", "29e5eb3bff4c198072048bf76c7b62694110bada", "20af3b2a011eabfdc3021a5e78995c5ce592575c", "49bcb014810ff50edefb20eb1411e8cb3c132b99", "78250b9481690aeb2f558e69c9e782dad2bf90e3", "23fd82c04852b74d655015ff0876e6c5defc6e61", "603e4f77ca4b16c0e66cbd1759abbeb059abef41", "7fcd03407c084023606c901e8933746b80d2ad57", "6a3c6f6325eb388a8fa2580a8f1953f6e557e078", "16d8304a1d8a5cb2288a5af90a09fd09d8b7ae09", "0a0813a013ef75ec70d0394bb8795f4d37cd6ff1", "07d3dddb363870cfd980ca8d748c8b1418aad863", "7b0b0e556a91057ce38a731de247e6a98ee65a2d", "62b26c5fd8279bc0e7ec58ad18d4b65d6203da0d", "f0b954b464ee9ddb24b90108654eab24f136880f", "ff351ecd5d3a9243177d0dcb73de29534f4fde57", "9cf5a6270e3339667ea3bda11268b554c953edaf", "9d104ac719107af754a52fe7b8c8085a64cd2618", "89c57aab49ceb3c2b939e61f44ecc93257b3ce1b", "388b345e4d9e306e7072d0d2604fcc385d32acf4", "1a86eb42952412ee02e3f6da06f874f1946eff6b", "b465e173b81337dde5a0800753e34a40e4352d38", "9dc91a889b6f6383681b768ce4f6fecf40e7d471", "0081e2188c8f34fcea3e23c49fb3e17883b33551", "9912e5b1b72fbc14a682de397fabaec1bd1d4028", "b0a0a793e9bfe31d4d8bbf926369488bf0a97bc2", "69c2ac04693d53251500557316c854a625af84ee", "caa7953cf5480fbdb464ff37f24f7cf9fddd27b0", "daf30e6709631aba291e8084fad853db325594e8", "e8f4ded98f5955aad114f55e7aca6b540599236b", "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "daa96d16117775de67cc1cf2f1d57922126e1a6d", "dd355e437cce079f6aa7080462cc377c110d8849", "a90d1f132d900985e0a01490345303b31e606f6e", "ee8d2256ac99799677a5bd88bb1a12973bd245df", "43e63603a5794c4e289d1f41d7079ed9620a355e", "084a05504ca15cba604b1e770913294c72ced2cb", "5951e9e13ff99f97f301a336f24a14d80459c659", "6c5ce8bf382948bb27a9cc33b700a2402877bb64", "b416921155c1687ca07beb23f167e5ac267c5616", "54204e28af73c7aca073835a14afcc5d8f52a515", "1e07500b00fcd0f65cf30a11f9023f74fe8ce65c", "3163d481923cc75d53c2ca940e23a07e7c85069c", "5ea62e97113c243ebaece2fbb975471c8649aa62", "7a5b09559d210d90a125b4d451271fe07924b992", "7026aa20d83800aff72f2e13d02770d1e42acd2d", "50188f3b8d63e196af9ad156e8ff127e060d0aef", "e20e2db743e8db1ff61279f4fda32bf8cf381f8e", "b8084d5e193633462e56f897f3d81b2832b72dff", "9b8d765da5a9e78d911e05ea200dd27cca29601d", "5fd19f4f9a1c809021c2fb6ebc83140c819ebb0c", "af2d30fdb8c611dc5b883b90311d873e336fc534", "1e9ace30e55c57c14f609fa45a459458ed40dd77", "f5ab93e4ec9d0c80ae6c1378e865df2411f19752", "04e5d374c10b70a74d79070103cab1f362b113ba", "5af6201819bc2f57305096404bb220c36bfc5a8d", "434cf041db74868ca625a0c2e11b6c0a5b2ed467", "03ac1c694bc84a27621da6bfe73ea9f7210c6d45", "feea73095b1be0cbae1ad7af8ba2c4fb6f316d35", "25e3fd1074968896fca45be20ca1d678438081fc", "d29eec5e047560627c16803029d2eb8a4e61da75", "08842a7ad102c3ac56e7df270b9afd03685d321c", "adaed4e92c93eb005198e41f87cf079e46050b5a", "4b6ea82fa73d2137c884ad43f7865d88b24ff01d", "add50a7d882eb38e35fe70d11cb40b1f0059c96f", "31bf80c0c36993fda9eeb2cf277aef2723501971", "5c5a9e1c2579dd101fec87c723c747f3eda9dc00", "4e46a254315c10c36f6b1170b85cc708360543f7", "cd6e32b00a53310f90a7138a41b855bf44129637", "06214c4bdf2354b5a1a13958998d79bf46ac53ee", "e72f626074252b7e17ebc48d9fd4a4cd9d231359", "f9f3160404c328364adb1bcd1d61f3796d869bb5", "1f39e264921766c3b1278cae92bcf6289f86ea21", "04ba06e60fce5cb7c882c00d6aaa2c846ba7b67b", "7c8e0f3053e09da6d8f9a1812591a35bccd5c669", "a6051a9ae4e09faa02dcc45c0d34ce3b1c50382b", "4c60a78722404bcbcd9afab4636993e79cf96c72", "8298420666fc817271b52379d3f2a96d8990fcbf", "e3582dffe5f3466cc5bc9d736934306c551ab33c", "205672cd9986044a03483058d9462f52c2cfc543", "92e464a5a67582d5209fa75e3b29de05d82c7c86", "2a19608262e17229d68383922e4fc58a8ad7b902", "0651ea8d9ca9890e8bcb32283c261483f89025ea", "35700f9a635bd3c128ab41718b040a0c28d6361a", "227cef669b362a7756564519be22c7d060348f66", "3b56d4f2591b2e6191d82c8f3e2236c953c42e11", "ecd2b19f25bf5d1143a608575c3def3fdc76fc92", "5288e1e7e914f73bf65c745f328844907226cd3e", "280f3e9f70a966b63f51036a235bd2a0bd6fe8d9", "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "f33d121705e9b7775cf6a8bb1f602f093fc8cf2c", "ee8f04fdc9dc00f5ac24ddd8a894bf1807f44caf", "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "5e236d5cc4399888acfe58a7aae740147474e7b6", "0a3e33acb8dba18641db90cfec2c58c65fad9715", "04cb43806ca57040100b33af0781e4331f8daa56", "f715b29109a1e619136df43979a23edd5b31d41c", "6850628658aafa61d0078b3dcb84f0a72910925a", "8fde6363ee7e0a849f323a40fb2029da74056370", "a9196f0ef06460467836fe09d53737170c612e79", "d2bd59d686c6f6eeecb37b8ac0e5c296ea4f2b13", "ebb3286dd729c2d6c8bfa58c7f159ac76123f079", "53d0cef0b415f0cab8b82e1f62a66f9511ea6eab", "e00d4e4ba25fff3583b180db078ef962bf7d6824", "1707179eda2021a19315af2c4ec2f7ae78595c4d", "0e767d8a88cdeea1a4338817c0e6ea3640ba4232", "6d83c33e917e63a2c1a9f23fdd58f01a95f0c87a", "ee72673c0394d0fff2b3d8372d8a9401867b8e13", "1c5d523512b4b3ccdccd66337b893ee054f03f45", "c9da8cf341ce0dc02cdc765fc350e181d7fb3f53", "a1cda8e30ce35445e4f51b47ab65b775f75c9f18", "3f40c1d8c2fe5d416ffca93049d3f3539fb52079", "e179dee700ff26df6da3cf0cb5e0358b2080acd8", "7a7a04a02e807d7c9cb90ab8442ac428904d2415", "cae41c3d5508f57421faf672ee1bea0da4be66e0", "91495c689e6e614247495c3f322d400d8098de43", "fe9b4efdf5ebba7865f920b4b94409047fc98ca3", "24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9", "596d530cd19e1caca2084a672b9c2a92e27e89a8", "3f540faf85e1f8de6ce04fb37e556700b67e4ad3", "1aa61dd85d3a5a2fe819cba21192ec4471c08628", "d557ee62524958761bd6f472655f9950557c6212", "01f21ad0eccdbb56dd60c397a27415b9f33d5ec3", "438c4b320b9a94a939af21061b4502f4a86960e3", "41951953579a0e3620f0235e5fcb80b930e6eee3", "85956f6431543d1bf62bb5d5143de4348f14a95c", "d7453fa0c70a15681e76b509fff6e1dd49f5a4a5", "529a044e1d54e5b97085b67c740709485b60bec5", "cf34bda14a2f6148f330213e0ec0dbfe3062c959", "9710ad1ec252ef59c988cd7555bcc1be6ef88ed9", "b9081c87ba2645d56f2f6e3cf7b46af1816d7616", "2d92eac985bd87556a414f7bd007d98af8a03924", "f9988dda860bde31ca0309c08355638c759e7281", "ca7f7f77a190b98b2e7173f64727de5a287059e2", "e60e287fa181eace7e716ccadcb12cef85ab11d6", "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "1846ac363068d2db9433fae60a65dc6ee92c2c23", "59f65b2a3a50b64193ee09dac29137cdd8dc6688", "59824fe429655a2bea2aa0af6258f64107cc7141", "15ef65fd68d61f3d47326e358c446b0f054f093a", "82006f2cdf0929f804785ad176ef3f8e7fbbfd3c", "ab87ab1cf522995510561cd9f494223704f1de91", "ad3b3d00d3601190dd04155d69c343fb03bfe704", "8458efc65d0b2ef9b23c0f4f2a41f206fcaa787c", "c590af8c6b2e352c20110152bfe18d5cfa568656", "19e3f57055f952e3fd277a742fa15650335e76fd", "82654a18289d3f931fc455c3714b54c8062ff521", "cdef0eaff4a3c168290d238999fc066ebc3a93e8", "2604aa10fee1900451fe0ddd115c413b0204d1df", "bd5ea34000675be41f3fdc5d57ec2152ccd37fa5", "046a694bbb3669f2ff705c6c706ca3af95db798c", "0aa74a922604e200fb92194301d4a4786cc1a74c", "ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab", "f79b017f92a290c7b37835fb0990eb4cbe592289", "7f04b65f2c6f96c7ce000f537fb691a93f61db52", "ef3eb3b3e2285e964b385c015caa0f8a24057f0e", "20e504782951e0c2979d9aec88c76334f7505393", "0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e", "6f206b46c26b70b3be0b1e89b1d4b6518b601005", "610c62bd933c82b609555692ca7f8e9b77934034", "b72eebffe697008048781ab7b768e0c96e52236a", "5c2a4e1db32a6afeb294920de1999210bf1bcc6d", "710b7a0c45ca6ba84768025ed1a02804a9530ea9", "5daebafa2b440e63f688fb64780a69e7256612a6", "0be764800507d2e683b3fb6576086e37e56059d1", "f04a3495b4d6caf6ead8a39a2b526b61f411ebd0", "b4c60fe73d1e788ebe0e24b0c8989e4fda110ac5", "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "5056a117ca092825053c517a2a52b21ccbffa949", "c3b8a2f4c6ddcf90df1a33e5245dd5c14687a4fd", "9c336a20b0c4949b180f12a14588dffaa527cb34", "af9419f2155785961a5c16315c70b8228435d5f8", "298a10dd069404f8846b5f82f46441385e7e4486", "1fcdc113a5df2f45a1f4b3249c041d942a3a730b", "bc220d15a0f079e1ba2533494b04a8c40e8eb73c", "7959218f3beadbb058844552874547520799a3f9", "4f53f80cc0d11beb3a086b98ba8ebaed6ec688de", "d822a13d173db2c5244b7f7d31babb513143f5a9", "a7da28249072b4983d40aff532c1ad5986cc5f80", "80e0c604cdae5a9775cff69be8f4c1ad64aa16dd", "c6608fdd919f2bc4f8d7412bab287527dcbcf505", "fdaf65b314faee97220162980e76dbc8f32db9d6", "1280b35e4a20036fcfd82ee09f45a3fca190276f", "ebf877db5fb6aadbc09d74325f4f9d29a192018a", "ec33350d7c4dd7a3b35bf6d7cf799af4ac1796a0", "7c4022dd2525882a0f7ba0d60db1c6290d5a9aa8", "2f04bfc847d5fbb9be47e3297881c9266cbb8ff6", "617a1c049c01f0f5ef14274741caf273fbb3d084", "c7a9a6f421c7ee9390150aa0b48e6a35761e1cd6", "ee65cee5151928c63d3ef36fcbb582fabb2b6d2c", "7a2b3eed5eeecf0b442d56b93dfda8cb88c10bf7", "1fb1f74bbea8d2b3bf5a4c2834f4774daf6398c8", "c68ec931585847b37cde9f910f40b2091a662e83", "1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1", "cc5d9fc3f20037d4822bacd6898e761e7aa37dc2", "b382bfdc57e0376fd4e4c598e03e42459aa0f24e", "cf112556c47c6959fc5760877e794b2862f2f3e6", "a8748a79e8d37e395354ba7a8b3038468cb37e1f", "a93c8d104996f73f5a00ea27a170775cc08ace6f", "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "bb8c5cff40479da65eb62b93bb11e6cda8efab14", "764ccd05bbdc944411c98430e4637041ec79e674", "f3c01802d226a228df623d3bc289333f05bf55d3", "09f58353e48780c707cf24a0074e4d353da18934", "19dba5d36b145739651594ae74d6cc4dce91aa08", "9be94fa0330dd493f127d51e4ef7f9fd64613cfc", "52e896bb4e1b7051131203a4861d4b1f172a2eb7", "4391c43a59a9761c9c5465005399537b0695b916", "7903bccf6f98436f4916419e5450d1bb890876ea", "38f294ae53862f98a3e34818c1e86f689dc8723e", "e4a5babdcb76a7f6c8de336ca352b74ed167ab73", "571b83f7fc01163383e6ca6a9791aea79cafa7dd", "7e242d08aea74eaf71bba3981ea778f834891540", "a29fba978756a928dd6373a615c516fbc5d337b4", "d3a1322c988b50049986365c27dcfce42828d2ca", "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "e44dad288724b068fabfdc7967dd9fe0579f5251", "e9abb5213189190df98530df4771a95b8fc0fd96", "bd53d3249cae4606e06999ee62f53bba6c4494d9", "e20469c66f44e6e18eccc722ef3f74a630d102df", "3b557c4fd6775afc80c2cf7c8b16edde125b270e", "31f905d40a4ac3c16c91d5be8427762fa91277f1", "fb662d021f05236c8ff2bea3be901cd25251487c", "b6d794f73ef7f2a6ffb4738a7dee334f512046bf", "d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e", "57283eea328099f878978ebcb382b06d9c6c20de", "8a02a0517b841b53fba478a851948b86869a0582", "ae32279ce2828286a40800045b2d9f3b53bebb8c", "74c65396b82c2a796bd023e97cfedf058e9a1b83", "9d0edb19cd5615e3a7bf5e9b7c1628dd5ddf633b", "10554bc4fb045d303abee266bc2c548dae5e187d", "9590ba45a42e7fdeec4e8ebcda69e80f11b9c1e6", "0344fb9ed0cdffe7619c3da46fdb93810d6f0263", "8e9ff8224753b22e3b1f8bbe271382d6fdb8ddfa", "a53d13b9110cddb2a5f38b9d7ed69d328e3c6db9", "357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1", "69459d54693772ce7b007498c87fdb1c84ceea19", "4db0968270f4e7b3fa73e41c50d13d48e20687be", "f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b", "09fa54f1ab7aaa83124d2415bfc6eb51e4b1f081", "d7312149a6b773d1d97c0c2b847609c07b5255ec", "0cb5079c39933bd8897fde7edecf156ff57830d7", "9f238d529465e89b50b160dfb1e03e6eda1c7a6b", "e5961e65169098351571e0828b46e3f8558a9faa", "eed1dd2a5959647896e73d129272cb7c3a2e145c", "8a84fd21ffe7acfa207439d2e30ed15e491b1991", "64d7e62f46813b5ad08289aed5dc4825d7ec5cff", "8be57cdad86fdf8c8290df4ca3149592f3c46dd3", "d27aacffa8671336ddd43dfb7c1c37ead2b71ff3", "c4526ecac44a90ef76f907527d2ab0860ccfb594", "67bff02582bb47b59e118a1d07acbe1339f3d2c8", "37a1c00a1f5b78eac269ed335c6610b91c4be76c", "43892e316c4a009c71282dcf5b11e1d13691bb39", "d3424761e06a8f5f3c1f042f1f1163a469872129", "bf514f38c6549700fd51355bdc6b86ff4707d4dd", "54801c260df5221a9de533d371d3edcc358b4050", "6dc6ced91e73ff5c762d66633917c5b155091218", "bcb1540377ac162df5dd1b9206cc7550dd7954f8", "3a2fed81b9ede781a2bb8c8db949a2edcec21aa8", "6374e5307c699da00875a858134653c16d5fd035", "6d27648c1261648b27f2fd725d4cdc0c7e1066d2", "6b3b17ad210dec82f2bbf3affa7d13eed8b9a2fb", "67d5508940bc3ed468a14632e386970265a05d0f", "9beac041302100493681cb8ce82eb4383f48f603", "84f8c5a8f3ccac8d0021f9d54e4388a9870e27a6", "6bf4f5f6f1fc30e7886812cc352ce6c2c95ae6e9", "4ad8b29c5cd59283c3ab8122e315d4784f85e388", "8d1b6718d8ac82975a9a0739f4b024b363dfb729", "c70a372ed2f95d29b8af28ddb8c1b9e7a853ea3c", "b5d7b226b2b3c894126cbdade1dcb071f3ba0c49", "a4dd2ff517ae61d7f39ec176915d8da5cafe8323", "5e0cdf7d0edee84ab0efb9cbcb9487dac154f747", "d1a9ce4a250ede36ff1bfae090a905e7795f0e26", "4c83e1be7c025dafbd009577977baccae2b29727", "6ecbe9b4af1d68f1eff7305e17ec798129b76793", "fca14b3ad0efa7bdc6ab7c1f1d58016d2be634dc", "33891ca0f8fab0eab503f4b4bcee009a1cf3b880", "5a0c75bef21432510d80555a3bafb285ead5a7eb", "f64fb2e5cfa86fe68e9c239557f440c412d02274", "6c0f0064afd2ce0a0a231b80de611ca34e208222", "26d52680d610a2a19483e5fe9bb1421cc26207e6", "bb9c9020d4139eb7961c209eaf9776fa09af31a6", "07b3a07afe3753083b4d22285fc0d4176f26d912", "0c7bd0820f68b64f0a78e926d1b5abf9df31da41", "650723ebe716b6c2c4de2d10985caf75a07cddbf", "d21c57a5a7ae2e5e2d8c59050f4f0b693b222341", "9cda3e56cec21bd8f91f7acfcefc04ac10973966", "252ea831fbc092b95ae464bce2476619aaf02d01", "05ad1b2d94e25b14ab026abd09f59fe65d1586a8", "4d4dbae1dfb0a79a52df7f06cb1442f71068ce42", "148126a62db13a2ceb2ad38d0c0a95e609bd59fc", "5345822a30293c9989fd1ec19b5a2da96956347b", "9c431d325f8a889ab19350cc71f89030107f7301", "0ad545407966e1630b5e51ad8f7dbd2780de966e", "fd41689c7e828badc861a31782b9a0902eac055d", "6bdca1b4ae169686da39d6f0e3ba70b3d39e0cbc", "2b1a7d4aee670b1df3ef9acc2c77940679666601", "80510c47d7fad872b18d865f3957568dc512780c", "201f53da0a5e177b2a86de4c8c4e33ae7bcdf001", "7b2e083302f7ef8e93a3f83a2ffc0c366a743cba", "241ec10eff020b14834ba5e5ca49675931dfb971", "6821113166b030d2123c3cd793dd63d2c909a110", "0ae6b023b599a17cf32b83606a9565c3ad539ecf", "51628cc779c6ccf8061aa77a18eed5c495515bcd", "e8ff0d5d75221feba7f1aba066b2d596b7e7685b", "5f9e6f2f84a6a9a64b1d5868e2782b4bae82b567", "c7efe52121f526791f5b414d60aa3e97bc058aef", "c7873037228a009917085556c514a90f9817cb08", "416c3781d02efa590e76dbf4ccb88ca1fd7b4de1", "d259d3652f03c7b80e29c986e9540ab00b1f1133", "fa9f1b236d0a252d4a56e26e8a9a41d496803413", "9fd77ac4fae2df8468f22549985cfb53ed517cc9", "1f27f9c0da385080f05f8cfaf0771e5aee6d9ab2", "485f42b9bf3c5b63b52c34f7f3069a685b355a5d", "5428c21579fe82c822e5b0af86ab2dc4b826e6b7", "e3660a13fcd75cf876a6ce355c2c1a578cfb57cb", "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "5bb14bba7510c590164007d7e3aa1bf88cb3faec", "9a9af8a5b6939a1da9936608fbf071f852eca7e1", "afd29ac2de84c8a6d48232477be018ec57d6f564", "9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa", "3c84e2ed018dd1d971b526f87e9d7c1f08e6230f", "589b1677d6de28c47693c5816c32698860c32d10", "2f910e4a72a2fea67ea6c83f36c7017fe26ca9a8", "069cadd9d8e52ad2715a3551012a06e506191626", "30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21", "2603d8578a6c95a9b9d4cb8a73bc66f18d523f37", "5ec650d4506ac2bb066760420ee8185c93dbb2c1", "24e6a28c133b7539a57896393a79d43dba46e0f6", "2594bf77a1fef68d86be74a2cb79c55499cb2bec", "95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5", "10114df7ddbb221337cc1e99e1de0eab8e47c95d", "616d3adb73ac0d8ba83d9ae4ed74c48e38e0f4e2", "60e065dbb795cc0d76ec187116eb87d1f42b5485", "b4a3f480e2004bdc8106de2f772283101bb290d0", "a04caf5898d01972e28a38faed9a2eeae78cf21e", "e255ca660def135eb6ac99127d08df032876d8ab", "821fb8b05108b7ce5312bc5cac3b0e5d56e279ab", "447848afc79a7f78be49450cd330bfdaabdd64d3", "b38b621bd21813b33abb11ef2ffb51af3791b73a", "54c5e9cded7da1f9dc695f5397d9d1a5ac5350af", "167ef72a08832f02e0bb4bb60b61b44adca4f804", "7cd5d7f8295b219b029a4231ae5cffb261e00ebe", "3ba5aa0995f129d2854d9690adb6d982bba4e675", "0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4", "9b976f7bfa636d89510fe5ad7fb7a8057b86a57f", "1c0f3a0fe2369e5357728ff81b6812e952f6337d", "51b1d708bdb758de8ce217c51992f794c70abe95", "862f19f8317971fabc46cf0f994f4a8616f17b78", "b0623c1d8493d273d704ba1d0413db0de579ae77", "44347819fd94b20676862181ac4de55a5ca47a0c", "3c71475ac56fe2875de2a61254ea4f8636a1d971", "45269e9746a5bd45b7a329ba1116622dba2e1ac1", "a19a5a604e07c525f9a8969c05f1c9ed5b497053", "0611dae4ae932e0c5f28f08676d234dd9233732f", "02b33c654aa475f400552bf0743d8d2819e2c2bb", "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "586bfd960cbdba91eecbb06de994dacd38b9ab0f", "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "6752b59da83c03e64c73f9248a67304713b6efa9", "22f21d58c6aecdb4f57c50fa9eb4952643eec0e9", "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "2eb14814511d93fcd01e81f4f838647eb10af3be", "8e861a7809905a003fffa821574e68ae0c0788e7", "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "b1ffa7a926e129f8dccdd6f258fea034cbee9160", "fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf", "2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0", "66284b8894bab0165c4210cd2df749f0b015c88e", "008d536060dfb10782e889f133551c9b87b2cfa2", "2d919473cf43e2522b2366271b778ce6ce7dc75c", "93498110032a458fddebfae80d7a93991e11673d", "d8f837265fe76e26c99052229c4997fbec20573a", "6aef8eeff5f532dcdad95043ba464720be664ab8", "501e6bed8829f0cf26522a29f647453e8a9f770f", "87e165e00ceb93416d167acf65615433cc1028cf", "9ef9046cc26946acedda3f515d9149a76e19cd6e", "0cf2eecf20cfbcb7f153713479e3206670ea0e9c", "cf18432bb77bf41377c477b5aaab9abd0f1f306c", "13d3b696cdbec99b2fdbb34e9d031bf8c683f112", "3638886772fddb696551970e256ca30fea380369", "c675534be881e59a78a5986b8fb4e649ddd2abbe", "c6fdbdbbbc7642daae22df0b7812e78d0647afb3", "70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3", "98ba5933d7fe9fec0f3b39d7072662007ca6a57e", "203fcd66c043e44fefd783b8f54105f0a577fc25", "5c35ac04260e281141b3aaa7bbb147032c887f0c", "e2b4a1747e66f72baae9929f908ab064a4263f9e", "f16657feb6dd94f2656ea4a1daf0003ac08f0a7c", "0ebc58bb5d517db0111f3565c4eb378d93dad908", "b6259115b819424de53bb92f64cc459dcb649f31", "694b72a84306112bd012073d24716e406ffcd4cf", "2a48dc596c7a2f496169360e819b56a6c8d38e67", "dd888fd4f6d04623a34fc2286ff1e26280c2f0f0", "ec32c8476b5dbf6564bdde991f53cabaf5d6363c", "1049d50487b5e4d891da951028bc8e66eeef3396", "89c7f6a765aec6e7c754063bd723b1313f058948", "40883844c1ceab95cb92498a92bfdf45beaa288e", "0b37ff3bb5e73bc4fd70877b2a39b27debdb83e2", "13831e47759e11f8cc6c77fa64ad34272b409b34", "fab7f1af3d67c7b7cf76ec1d8dfcb265da61a572", "11aa92ecea8674138c375d2bfea3ddc4f5811b45", "bfa7adab82844025960d841159e386e51f9cde52", "cd22375bf1d917b928aee006b65cd92c7bfe0927", "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "f94867160e0885bc397892e4db56fa7ce9ebc83a", "f03a82fd4a039c1b94a0e8719284a777f776fb22", "1c838d356b85d0cc6629896758a60aea4a95f74a", "c286b2539ce1cbc11338409062f0c28a37dbc4c0", "012ace850dfe366ceda69e560863fbefec2bc755", "bb6801a2e7e3f319d6dc72a4ab5b4d16919d074d", "db458242dd526d84579aeee563355ca1a7dea5ea", "3929ff77805bc02993b187a6019dbed4f662d59c", "67751b7ce7f934ffadcf095f4189b31f890e9fdc", "96f0e7416994035c91f4e0dfa40fd45090debfc5", "a5bc960e186391ca0ba0718aec70069abb5134e5", "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "c5973aca863d73673e78d1310e8b21b4ea5aca00", "b68e1fe527cd37e29d87a9540a5d62c5ab067b8a", "e568236493c3606ecd8c576a62540545aed1c170", "bcab55f8bf0623df71623e673c767eed2159f05a", "0f4dfdeca316a5d27d61ab6bcdf907cd44686941", "f49b4ab188dd090367d9f6762473879b2bba16cf", "ab1728e84ac682ca0c53435f712a512ac139e9c8", "23e6e8ab8f62d8f67525313c823e3cb4424ac578", "ea6207e553a5c8a3e171a8f6b6297688ab43f92d", "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "1a31192ac79d0eccef596f93d6170117a0111396", "64e216c128164f56bc91a33c18ab461647384869", "026e96c3c4751e1583bfe78b8c28bdfe854c4988", "f06a104a3ff9999bb9d15cd0e4e3445dd23f7804", "585260468d023ffc95f0e539c3fa87254c28510b", "bf933913d7380b5cb32266d68e75c095ce99eeae", "7c86f71de716a297950dc46f45152e03bfbc475d", "096ef3f0b14e0589e1921d897b492c14fe0fcaf4", "5cbc66ace06eb35a22a3196cc13f75ddb0b7cefa", "f7943ecda36b38725efda73d68b7ea70272451b8", "e83b017eaedfbf19d598799d8a1884c57c634782", "b6d4a28fa7bf237f2c6a305f6ebb8aabf7072b84", "0f9e0eb925b3dbc6a56731710b06716646babc8e", "8a1ed5e23231e86216c9bdd62419c3b05f1e0b4d", "c4da6de4135a67c1c34ca5432224a2e91de71a17", "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "e87d6c284cdd6828dfe7c092087fbd9ff5091ee4", "04221205249bdffd0f155ac68ac477613654aa42", "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "4ec3c7fa51d823a43b3808c7c6baa2e153104bdf", "36f27899a2c11afa000732bc5e82aef560c9426a", "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "49484ace2786445c2181d2f2975ec3ce34f9ed6d", "96eacc464c0177efc4f802f220888c7f675f24af", "11e38512d29d4662abdd44c611d7c44ff9370b05", "555f5ef266335af8189714297ccbcd6ab77d83f2", "2625314d30a8dfaf918e93a8e7b243b2e078d191", "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "e8d8a42d0ee8849bbaf99c52cadeb2f1ebe564b0", "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "00ff024e0800db79a8f7c661b47357fc98e6c0af", "d79fbffd03f3bece0b19fdfe94377ecb611f4ee7", "36a1e5a77998368720d8813724d70538e53ea948", "ffcb92719dcd993dda292ca82d4585950ea22ac9", "30fcfc6b7fe1809d79ea6ce08f50e2e53c203800", "27c495019bae2d7ab5b607e11a47a39cd9f1c519", "f0acbc128407606413df764cfea7350e8842c704", "79dd5743438963d9fe4793f7c27530f2e7c4b20d", "76669f166ddd3fb830dbaacb3daa875cfedc24d9", "d9f6ca3513c4f84ec412f221fda9bc9c340d8bb5", "81d0ab3201fbaef5aff57e9df2c12c7b4f228987", "c81326a1ecb7e71ae38a665779b8d959d3938d1a", "0171c74925a61d5df6732357fce000735bc73bf9", "adfe759046982880d500fc56f915ce2d76687656", "795b76ebf17c559d82ea6976f1749096036d6817", "d2044b92486248f87bafe937779cd2167efe170c", "d7d6f1b1e832bc7f52ed34131e3f200badb601e3", "e83753a708e3bc8072851fe97aa6929515c518ec", "fe60d81f726c8e20948b927b456a94a96d78fa26", "1c2b9e1e6359a12b0163d422a37d46e5feeb9f9d", "430cc88c6c73ab178c0e656b246f8f74d51c3a7f", "f793970c7b57c3470561e9830cebbdd590a38bf4", "1bc5c938b79f23afb9931c99377d6ce7a99bf8fb", "6ce23cf4f440021b7b05aa3c1c2700cc7560b557", "3e9405f88d82f70348317b42828b54718f60dc13", "eff063c99ebed728582a5895e312f660e8fde5f7", "7bb8bfe1c80b6739a6a5dd3db0b8f9f93fbb6e98", "6fa9bae381274518d3972294d81e460f0c63900b", "0d35ab4d59c3731986965dcc935d11074832bc1d", "acc9821b61ea804bd1e0b0e23a45f08fbf760a37", "33737f966cca541d5dbfb72906da2794c692b65b", "8f96a6bf39d91c5cb37316d90b476cd98f447709", "ceaed903eaeaa1a541831e2c70b4b3251de67719", "5ce80b41443518a14d800f6b93b4057bbb007432", "a9b5db2abd37859eada0f35cba857e648ffa7b0e", "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "e3d80c39ed49ce57e6e48c183265db148c0d1901", "85889dd93ee184868f1da5d34dc5722865af9f15", "43dce79cf815b5c7068b1678f6200dabf8f5de31", "5b24ef13fc9a51a9892f164bc142ffefc0b7a8ee", "dd2e69465ecdcd67d5211babb9d1a6754468d174", "8e5804b8dddff600ee7646b8c33bebad4b550b31", "4f863543407143a62e1bb053d435a947886ba619", "debab342dd7bf6980ba5c0ad9fd7d6d3cd691f46", "0cc3de80412455f6095d6ea293fa6ff7fb1eafb8", "8d9445e579837e83099e137f2aa65681ce029697", "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "8fc730d22f33d08be927e5449f359dc15b5c3503", "d46b790d22cb59df87f9486da28386b0f99339d3", "10e0e6f1ec00b20bc78a5453a00c792f1334b016", "084011fe855c3aabb3de1c25174d78082d04a5b7", "c2508af974b8b1fd4ef097ef625e8bfd07474be0", "512b1dfe92ba93e69762a855abb9bbe3eb8ff115", "317553d0c479cb9893b3884c96cfa681c80296a0", "55432723c728a2ce90d817e9e9877ae9fbad6fe5", "fb1627ed224bf7b1e3d80c097316ed7703951df2", "52af93c58257f9275ad948f96e7fcd3b3cd0dd3c", "4747d169a5d6b48febfa111a8b28680159eb3bb2", "9e1a6a63a7646f9654bebf6d5ab516f33cd50b25", "1a8ab75050d1c5a6722d7fa05bebf8fd4edd698d", "68e239671615101ce3db879888a27be64b8ee0e3", "9c9417e7a3c04f6304d3e609ea9ff320bff285e8", "88337c4ca3eeb00538b9a1ac54180d02187c68db", "de95fa1dd69a2d0d2b76539357062062f8b1e7b8", "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "5b4abeb466a2c97a99b9621e0c83c95f4326e99b", "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "3ce2e718ea2782b9fe801e42fc2bd1ac2f35ed9f", "6aa201b23b93dc51939e68bcf12e386d3b459f2d", "f0225fd9e968a022ea6f993c1e44f01716908769", "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "4edc7f27d4512b69be54abfc6b9876e5b00725ab", "1dbcf2181cb9890397c88c7cba20941af9019a20", "5495e224ac7b45b9edc5cfeabbb754d8a40a879b", "cd3c23a0009851b9e0026a1b9e083d0882243ad2", "2a18e025c0c89c2dd94ee92b1e496767de8a3406", "174ef76c12e6426056ff2980bf220964030ed48e", "49a5d855f91c6ec6d1724a200d33e92c41f73480", "41d9719922c81d14f2a39392285c5789f5ea4282", "9a845ce802227a13de16f3e29eebeb3c8817f83b", "4adbf8df68b1e1cb9da45054a12469720361c826", "6187f91f1e53cf6f62afe30e01c7b1ed43505c9e", "a58ba304ca0c37d94c7227feeeffb600a492d902", "c9a91d1200ac7547e49a665e3b2b51426eeae27d", "d2c24fd4b54fdb88e6574da7c42653a94078d58c", "71fd29c2ae9cc9e4f959268674b6b563c06d9480", "a4c9808de4626df6d94053df5497fafecc44c7a2", "f4421adced24d729d5ed22559308c2b4719b44c2", "856bd32ee16cc531bcb1814fbae2f66582e21cc7", "de06dcbe607f583794ce98f85caed4607a366b35", "f879556115284946637992191563849e840789d1", "612075999e82596f3b42a80e6996712cc52880a3", "954eca6c3daf17a081379d51980beb299c803d3a", "6a99becf2ac8b3adf161ae4c453e24a8377e41d1", "e44e8b0e8b041afe4501f199fa8af7610cfd4259", "ba654c84ec5817bd115983fef53c90ca68f880cc", "fcac68ed896610947dd80ed2d96fa3f5e482d903", "e6ca412a05002b51d358c2e3061913c3dab6b810", "82b43bc9213230af9db17322301cbdf81e2ce8cc", "8a26431833b0ea8659ef1d24bff3ac9e56dcfcd0", "6ae47c7793e2f0f684ae07357335c7cf338d66ef", "49df381ea2a1e7f4059346311f1f9f45dd997164", "1dddfa634589e347648e79ae4e261af23553981e", "0400752fe0137e96b1553c62f659362a42cf377e", "129d0e22d6b847c8002fd2c70bb508cdf3286fb8", "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "9e42d44c07fbd800f830b4e83d81bdb9d106ed6b", "d118454b38f3f0d4dd48d7775ea3683708b33325", "c5f71486c16add42c3394edb41b8c064b0123824", "5bf680b6aad2724960453eb73009a0e4aa85ce0a", "b3e5cc26fb8ae57b5e9e6dc161d5ea3c67bcdeab", "a8ff837f67f9fe9e6f562f5de56784b93b4f9dfe", "e9c008d31da38d9eef67a28d2c77cb7daec941fb", "50235c7d6d19c741582f93d00d0a0d980e435be6", "06900e1849e604e9cedc3f4e7bae37932c661349", "db326e6b49121e7f80c802fd2e5b80a482c955df", "cc70f4af018de5e5bdc8075dbdf1bbe49a6f0b4a", "30885b71532eaed5827b5de5cb60d9b85bce7a08", "9857eeded6b7608ff862174742b38946102f5008", "9c513b0f304b1bb29de478a1227ddb201ed50217", "d07483e2c1f89b490ae03507fd39bd3c0883f2d9", "69c2b7565e080740e2bdb664e6b00fd760609889", "e483f644eb20d79402bab1f5d96025598e101f82", "860196a306c9303ddaf323d702dacba68db658d2", "cfa205874bd192ab949132631a7eda995ecc57af", "5b4ecdb48673a29bdff063131002285b3bb0400b", "b632d47eb7421a3d622b0f1ceb009e4415ccc84d", "c6542d17b212d808cba48cd2b1536446b14e38b3", "6e7d799497b94954dc4232d840628c3a00263e42", "b4c80df27276660522f8901aa90c129c15611821", "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "01350214f850f43d72268df4f98b05901fbbe06c", "2a051c1f2787690fa9fa916fd548b62ce571f778", "5bd98e03691089cec9a42f8b0a00152b4578b903", "2accfb97407e74b6f55d228cf7048a402dd8cb6c", "de390a143720e697bc71c3727633b155bf25a2c1", "181d0534f2c0233804a6f90c75c919d868fd58e1", "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02", "a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc", "cf6c59d359466c41643017d2c212125aa0ee84b2", "51273a7abfe2018ccf2789a8e25d0c2ae565bc77", "16371cf22f9de60dd1edd7178669e5ba69143686", "2d2127532fbad4d5558ead3e5617e3d3004dd5cf", "fc441d3781c4d49355d40a4a41e69d21513b86e6", "2b7f906be30b9bc4fbc5885cf3d5a723b6925eb5", "22f71559c88fe32b405a6fedf7ee099c32d9377e", "bbfd178e0c92ac547f86aedfcc439741a1a089bb", "3949256c19148c74bdf97e2988a97eee1d933a54", "be627fd587b614e07c09940961ccaa42a64d0aeb", "c9ab493f7ab58e7923dfad04c48b860cfc5aaf30", "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "6e3660e8efb976c916e61fe17ea90aea7d13aac4", "195bec771d31eff04c8b0324878d2338ab594527", "1b51e3e98c8b2a2977cdfabc8483dd55c9dcad3f", "c9d9cb2c647c6489814098438a9fbd916a8a1918", "e7d777dd96777e9381d792c377db5d7347c9baf5", "60f7de07de4d090990120483bd5407369b29a120", "fc06908006036e9f6468c6ec3cc94a97e003100d", "2544249e92b324a7f79da6eb556c387a4fa5226e", "e2f994059b831d4b752a5e8131ccee250ca56ffb", "17ad76ef00d4cb584389682ca6b138a8bdc9a2da", "c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c", "ed7b46df8ee985d9dafcded81a2295a21e9f2293", "b8a5839f6b1e051f430f2b89d5a1a7e49a10655a", "7205b67fb64aba0043b43d167243aed3af72aa6b", "2c12d3a47b9446623df1d48b7b3d35857699219d", "3f6da4965b214ea947dd3b6cd33b41ece89e7e79", "de8e1a96fc02ddab239b23f222dbfe34249eca2c", "66436e96aafa7abd3b0700e8409dbb360775a9b8", "d203333f94c45cc6b885772b6e5453fc74231eca", "265c53ce3fbdb3f2623c4b20f38b94d3ed1d878c", "9aa36a46d63693c136cb8ca673128f2a2d4e08d5", "aaa021feeec2f84c4a5f3c56b4c0fecb5a85a352", "9fc993aeb0a007ccfaca369a9a8c0ccf7697261d", "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "5200fa5d342bca9a2eb533d8aeb31d89bfe89d2e", "85387549277d6131dc8596ffacc7a21aeee0c6d1", "5c9e0f15222424022201422c7de534e06575d3d6", "bcd6e682c11eaf493017cb734e95d606e49648cb", "5f09018d330f8d62b9abd83d44f1097d945508e4", "ccf413e4a730ee228769c82a8af1fddc2857fbe8", "5d80149e005894ab57f47e667f3e060e247d8e43", "71edcfe5e3a4e1678698a0659a7e51555291d242", "1d7df3df839a6aa8f5392310d46b2a89080a3c25", "1e92c074ab9082863a48fecdbf212f1897687a74", "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "9e86e9853c261f2e4affe61674ca26a537ba65de", "a455cbde9dafdb099d83464c7f4729d8f17208ed", "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "ecc09ab9c61dc3a3a15f55332f63bccbf443f291", "3a3c47b6da1ea1b8d57ce41d9ddb54a774e1914d", "1dc94886ca1d4893208d38b18cb7ad1541a74b82", "65783e66cb6d9c057edf7b37f6d0be24a78d3013", "33554ff9d1d3b32f67020598320d3d761d7ec81f", "8f7a38e1400631abfbe67de7d907fbf377d1f68b", "a5b2fb8711d5771bcb078a1e21430dc5a642095a", "dbe101c7c4b5ea5986be38e4d6de70bfc4324683", "4e4a4359c7dd25af7e2ef0910928cd9faa5d0cfb", "e513e8789e90251fc957351028e02eacb3a508ec", "709dbd54cf17212c7a61db58667ce7c7e2ef7d7e", "d94c7a89adf6f568bbe1510910850d5083a58b4f", "884fc5bf16841f8fe234abd7f3056206e5c4cdf2", "33f2761d08da1c5b1b6a8f65ee6930075cf9927e", "2d7c2c015053fff5300515a7addcd74b523f3f66", "d485683ed45dadd53b18b9e4ac5eacb3a7520334", "39082dd549ee32805f48cdac3ede7d8537696afe", "2098c31d198c2d195c37b8d632ade750bdda4cf8", "9fa224a709fba2df1cafdf1fda02bfdbd4015258", "415c16201f65e92b089918340494ba2a798bdec5", "7ffef9f26c39377ee937d29b8990580266a7a8a5", "046600fc88843159d5c53d089504b22f9876904d", "5ba7ccde201b9199b2fcbb37b604a99d8d760008", "1bdd7ed61a38b61399340c04cd478a96b67a51e5", "77c5437107f8138d48cb7e10b2b286fa51473678", "e8e662e45e39249756d2b0090782434a5cf1f4aa", "7334ebde5892b618c24dbac47027f61cf0473fde", "5b1780b24d82b9b93ed2c67d41885a2e7b6363f5", "7e1e189fff0b0cef3c231e6b2d01b65bef6027e7", "0d40a5118987c260934a2b7fb4a70c8aaba2e9c3", "1c147261f5ab1b8ee0a54021a3168fa191096df8", "8f1f11c578e1d66be0ec81a6dc4eefd9a0704e56", "55fdff2881d43050a8c51c7fdc094dbfbbe6fa46", "c758b9c82b603904ba8806e6193c5fefa57e9613", "f8daab1e4f63051b78eb43e98ab723f6c425a6b5", "3802da31c6d33d71b839e260f4022ec4fbd88e2d", "5fd262d1962262225c59ae33b07e69f6635c3f67", "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "c10b0a6ba98aa95d740a0d60e150ffd77c7895ad", "cc0513eb2647af223c0670c5d335c7ba91185635", "50a893a51a93c1308b506d98927fb30bb763145a", "8d1253f315c821bd2b354550ae9ea6d3d7be1d31", "b12431e61172443c534ea523a4d7407e847b5c5b", "55089f9bc858ae7e9addf30502ac11be4347c05a", "fea83550a21f4b41057b031ac338170bacda8805", "37af037923d0d7a4480a9c1f2e7d002f122bfebb", "110359824a0e3b6480102b108372793265a24a86", "93ae0e1704b20b89149e3eabce39c7428063e963", "1319d99cc71d3a8afe6227ff59defb15a6e530b3", "f36303b994e571d45bea1961edf46a072f4b2ffe", "fddc99348ba397c0f1a16f4ee44754fb7a411b76", "1b55c4e804d1298cbbb9c507497177014a923d22", "26fa4c87a2c9e21e9207cc4aee2b9890b1ad5a0d", "a75de488eaacb1dafffbe667465390f101498aaf", "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "79f02a006c77f2d7fece8302bf54d851269a515a", "d3b832f3c4e8b6d81eac24d6e070f756b9e8a7a1", "8a217389b365d06ae323fee744304067c8f62be7", "8e1514996169c84b082ccedb075ebfea719f27e0", "da5932a4f3af37030f0460496d4e0b6f93294bfd", "0b0d518eda02564a720298ddea04edb509331672", "b938d7df1158afe45f9e17b4426859c4cd218fad", "dbced84d839165d9b494982449aa2eb9109b8467", "f7242b7a146f62189f27a71ff56a26e17b26a363", "0daaa56d724c11e64338996e99a257fa69900236", "3c563542db664321aa77a9567c1601f425500f94", "852f35acbf6cb3cd0b7036ef7a3ee7b46bc78922", "98ef8b8e4df2c19bcd56827a5a9cdd7eb88364ac", "270864b41a66bc000812869fde40df10cba91cb7", "8ccde9d80706a59e606f6e6d48d4260b60ccc736", "8fddb940c70261a335831cb7aa11b0102f3d901e", "70e41be079ff20d213a37e09b9a82bfd2beb2191", "a260adcd209acb36150400d38d599a8b8025523d", "0192c20b9f4fab5a4d76d3e78239f0ddf5deca09", "68484ae8a042904a95a8d284a7f85a4e28e37513", "b64cc1f0772e9620ecf916019de85b7adb357b7a", "806589080e7a5e48ee4b8883fc819b521f749128", "03b31cbb8e64dc9402b76287f06f15840acff3f1", "3d045d8d8b1af5eb6ba0b8365dc87d57bebafb4e", "dd16038195c0f3ce6b1f3afc6a0482a12bb9ab6d", "0a91c7e4037912b9614eaf738aa732be7bc22ec1", "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "9f131b4e036208f2402182a1af2a59e3c5d7dd44", "8035e8796ed5bdd44477c523cd6b03f9adfa2d8e", "badde061da20510ca74b94818eb726d27ff2f491", "a74abb9ae03bcf212ab97c4412c1be140b3142f7", "a04273851ae262e884b175c22decd56cbd24e14e", "5c36eb8c700da01e4053d0bca006171335c9ec8c", "cb96c819f20f05ad0d85bba91f86795162f63445", "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "2cdfa08b7f158b57edada00baddc0641af5b0132", "33e539cc9bab90ad9165f8482c1329d8870e9bb3", "089b5e8eb549723020b908e8eb19479ba39812f5", "f7c4fec94571969af6bf2926ba951cc766b85516", "f2743ae62496a49d69a049141fcddcb3d1fffba4", "2dafea864f74a477414c3b71b742f7997e216102", "6d4790026b63a175a635351b355cb7db7504cfc1", "f79a1ab802be2ca879ddb7b813028da61134f30f", "e7cfaff65541cde4298a04882e00608d992f6703", "f37dcdd86bea138706edb14459ca29de7b8d5ea9", "91dec705d119cb3cc40da18f51aafac3c5c191ce", "065756857d5180a40b493e88f4eb3b24d30a1713", "3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9", "33cbaae593b6fc0d4cafdd41cec11e00956e251f", "0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc", "a84bc1216f508ecdd8bb310e21d5f9bd15dc66d5", "f36647e63a11486ef9cf7a5a1c86a40fda5d408a", "b85580ff2d8d8be0a2c40863f04269df4cd766d9", "03046f4dd5c1535a9d97662f75d1e3fc9bda407d", "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6", "3fd203807fab28243f84d2360572796869ccde90", "bf45eec73c22f446458091656bafdb037a79a5a6", "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "78bdaca41440f03b4d18a4caf9f0dace9afa08b0", "6789bddbabf234f31df992a3356b36a47451efc7", "4b6662a1b123f2253b8f9bf0511ca57bfa9db951", "36646992d460e12615a7f6cd249d4aa8626e0987", "ccc65463198ee0a0db9b303a3dc903c762dbccaa", "ea2d3a58982bfcf5b22986da513eadf2e74cbf4e", "295c3be3e603b3349d23f8733c3c3eb1744b103c", "0dfe04d3fd96dee4952bac36bafd3778c106dc1d", "23334c7b7860b8e4db873fdeed127a1034173d5c", "ca92c54ec18e72d3ba86f3b80d82974707882abb", "4e71ac257b104bbc161331ab2a66e86515427146", "8741a327f06b2969dc5e1e7a89b577f2d8c262fa", "668d39ceb83d06c61ab58cb689a1b744ff520669", "32f62da99ec9f58dd93e3be667612abcf00df16a", "ef2bb8bd93fa8b44414565b32735334fa6823b56", "b5ba0c50cfe2559f4197bb35cf50441118b768c8", "3918a0c698a9bc1ec576e2f5138ff5af41892822", "b49425f78907fcc447d181eb713abffc74dd85e4", "e58dd160a76349d46f881bd6ddbc2921f08d1050", "30723ada764c6ec186927522d666eaa8eeae35b1", "0cd87a66028f9d3c519a9459a213905b42b4c3b0", "17e563af203d469c456bb975f3f88a741e43fb71", "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "3faebe9d5c47fc90998811c4ac768706283d605c", "8b5a469d131b304eaad13a99b8092a22a1e5a263", "1b92973843c3a791bb5ca5a68405c3ecb3473ded", "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "ea2d43aa2490331cd1406e1432ce706c53139323", "c877dfb0c636852f243e53dac4445681e1985a35", "b4e889af57295dff9498ba476893a359a91b8a3e", "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04", "a693aa8f2bde89158bbe9aa8abec8428518c8d45", "2945cc9e821ab87fa17afc8802f3858435d1264c", "a9a414604cff39f1a03c5547385dc421e6c8452e", "894f1e924dfb8dfb843c42835fa79e386ac07383", "a6e51e37b8fcc679d331753441ca531fcedbf002", "d69b8121771f211cd4f0d9bc960954643731ca4b", "8e63715d458ff79170a010c283c79427ce81ff0c", "8694cd9748fb1c128f91a572119978075fede848", "26de38f28172c5bd05f623469449a860b0409b11", "4e09aa735d3f0514a5dd43bafa6a1515dfe76e9e", "3cc5f82147bd203e6d0a2cf9d2b2ac0ce31e58d6", "f4d25431e4022e60c465b3f93abd0dbb08864453", "97b930a4fa4670a609b6ee8811409090fe55b313", "b1c80444ecf42c303dbf65e47bea999af7a172bf", "1e1ab3d08fd71ab7368464d9adf78be1170fa728", "c8dcb7b3c5ed43e61b90b50fedc76568d8e30675", "90c8899132396fa1b4c1efd534739cadd5bdca3b", "877397982198554e9294f0ddddd8d971cc87cefe", "57235f22abcd6bb928007287b17e235dbef83347", "8e06017bf1afe6fcc6878da7c15aed866a34755b", "c5b311152a4e611288a77fbb1460eb0fbb049de3", "d39b132a5c114e48a74c49b3f07634ac43d90595", "00426c770eb74b11bdc63e24c8ae7f1c84c8ea8a", "e088a2537492ed5a22885e871a51102a95c97cb6", "3355aff37b5e4ba40fc689119fb48d403be288be", "b63041d05b78a66724fbcb2803508999bf885d6b", "e184ee1c1ad3ea77dee5d8f9329eb2efabd2120a", "4320b0b7e65607e96326990675ac15880dc08b89", "5b3e9cd460746c51607ba2bf8cac439f37d0c5c3", "231af7dc01a166cac3b5b01ca05778238f796e41", "a84e03b5a7cd00864c8090ae69555d600d044255", "626c12d6ccb1405c97beca496a3456edbf351643", "8134b052a9aedd573dd16649a611f68b48e30cb2", "6b95a3dbec92071c8552576930e69455c70e529c", "330b3db69f70f01afd674a2b7bce4bb5000bf164", "e909b9e0bbfc37d0b99acad5014e977daac7e2bd", "9b19be86280c8dbb3fdccc24297449290bd2b6aa", "f3356570afde9002601a46395d565031945c7a5a", "2f39fd505b04ca363b9efe23f1937fd414a93ce7", "8caed04a8207c812929d547969454c304a0aea98", "8bff7353fa4f75629ea418ca8db60477a751db93", "a90226c41b79f8b06007609f39f82757073641e2", "00d0ad219577c70a3d6295e8839841b2f1898e29", "a0a950f513b4fd58cee54bccc49b852943ffd02c", "886213eb40002beba2b299d047e25894da499a76", "c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1", "5f69d59ad195a69618231ad83c4ad6342a569074", "7a9d2135cd3b2e73d15fe36e9bbdd3ca212e585f", "39d08fa8b028217384daeb3e622848451809a422", "1b72222651c5b0295981e26d1333fadfcfb6a480", "0b783e750da34c61ea404be8bc40788fd66c867d", "47617c126442fb041f8aab30a8c0c5d2a56d357b", "b04d4b1e8b510180726f49a66dbaaf23c9ef64a0", "08809165154c9c557d368cddfa3ae66ccaceaed9", "d944d7899f1a8160ec60473731a1d6744b6b1a84", "372bc106c61e7eb004835e85bbfee997409f176a", "9b9f68a002eb1fe42c0983723b8e388a4e52ad8f", "40638a7a9e0a0499af46053c6efc05ce0b088a28", "a5531b5626c1ee3b6f9aed281a98338439d06d12", "cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8", "346578304ff943b97b3efb1171ecd902cb4f6081", "a562180056cc4906d6d5ef9d2b4ed098d8512317", "ea7fbfd02bf17b310e1e7f4be12d106b4990c33d", "6211ba456908d605e85d102d63b106f1acb52186", "fed9e971e042b40cc659aca6e338d79dc1d4b59c", "169565b280eb25a9cbcc1528420551371ffed314", "f881d2a04de838c8950a279e1ed8c0f9886452af", "1a8a2539cffba25ed9a7f2b869ebb737276ccee1", "2c94682176f320f406f78c484f9135f085d1c0f0", "7fa62c091a14830ae256dc00b512f7d4b4cf5b94", "3567cdb5543f21c37664a454d77cea3b54787bf1", "b959d5655a3b2f92c2c1a8a7896fecafafea979d", "df87a13f5c175217b9414bb1958c0fe1a28028c1", "e530b5dbced106b72ecd0d1ef542d2c9eaf00856", "70ed5731757c62fe81e2116ee419ca26d6ec76c5", "b5097e8098d1ab1cc76b5d1baf693d61fcfee46a", "542015e2c78c51203963b76632b7ea2a6c46aa74", "0b50de08502aa819fcee452f996b12d04dbd1f23", "06be17bcc4136476855fc594759dddc6f8b6150f", "07736be32a3d966e13785d2a145ed6f1223cdece", "8195787260dfc6bc9abea3b1dac1ce15f747caa2", "34b07ddb01d983aba64a2f0f569b93270b31d322", "516d34c32974766bd14432d3aa2723dd4e7a8d62", "f0483ebab9da2ba4ae6549b681cf31aef2bb6562", "2727927c7493cef9785b3a06a38f5c1ce126fc23", "284b5dafe6d8d7552794ccd2efb4eabb12dc3512", "b5a369ebcb2e9a8169b71791d77e7a3ad992870f", "eba13a9c5d62e254f4ee1ad48076a33be5f25f2e", "7cca4d680152ed43e6dd8cc55d9ea55e2ed64eae", "33658ee91ae67f3c92542dd0f0838b48c994ae4d", "5a9103153c7f36d8a28bfd66e89ff05c93129415", "c5102d940cd249df5ffa084a1b8e1bc5a75cd769", "db3ce18f318ee732dab2e2f574062c94f7398943", "ec3eb92b9a56b1fa84b127b8acc980555cd1f2e0", "e90e23a757c346170df4f403d0c18bcea2874ed7", "1450296fb936d666f2f11454cc8f0108e2306741", "55d0eaf7393bb6bd0483c98894f16269d275c2bd", "7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a", "e309632d479b8f59e615d0f3c4bc69938361d187", "35800a537017803dd08274710388734db66b54f0", "31674c65a4bcda817a1c8de0a440ddb23eb43824", "d417508b6e1951543afb8d382e6e9e8abeea812f", "36b678bb0da3713c62a71865972eb94165580d22", "e1740c8a562901ac1b94c78b33c4416500cedebc", "f792f75f6d2bf265569d4e63dd139c4d04ec7fdb", "72a6044a0108e0f8f1e68cd70ada46c81a416324", "f984a5ad2d379b4e4b51005a73cdbd978ce3d810", "db0d33590dc15de2d30cf0407b7a26ae79cd51b5", "34a4c733bc2b53253dbebe67f1af83b969c2e657", "476260eade2959aa064a3798322532d79bdea912", "bb97664df153ac563e46ec2233346129cafe601b", "b9350f43816f3866ead2f1b54ad782d15eeed8f8", "2bff9e02dd5d5ccab39ffb024620655166b151b5", "21a111fea344b4cbc9f3f4de4cdea70c3f3f4d18", "d060a7a715f2e233dd09777bf651be10fa19f3d3", "56f5005c4be6f816f6f43795cc4825d798cd53ef", "551b75dd57829b584de5f51b63426efac81018db", "c074d5a645e1554faf0383282c37af971c5441d8", "7bef795ee04e41a934748a1c56fedfd1fb827893", "e05b5c38f342be48f64eee2568d78c42d6c9c2aa", "25260fad04c7a2d8c6d4e9d8a9746ed6811d9cb2", "dfcb4773543ee6fbc7d5319b646e0d6168ffa116", "af405d9a70846214a0e3218ff7dd28b051ac4aef", "a47ac8569ab1970740cff9f1643f77e9143a62d4", "665265289471d08a4b472329eb42965b51ac485a", "e0515dc0157a89de48e1120662afdd7fe606b544", "a8760dc83e8cb88f241cc206855fbbad680889a0", "b872b3b63beab636e0b9c5164e3300a96f7f2a27", "3f6474bc611ec790444ffa6e644a258f3d2aed37", "9385a155c5245420a7c70c867d9fea6088a9b2d5", "cd1758d3b86c4f1caf01ec222b45daf15888d1a8", "637de43801f26fab8f567787485c57ab92273ce5", "a91fd02ed2231ead51078e3e1f055d8be7828d02", "ffd0ba45cc6b0c8f72a09617144786ffb26be771", "95a0c9f41d0cc6f45853d616d5476b8aee54ff0a", "2c49ed3085fb1e3f12f901b1e62f5237dc7cde03", "4c281ab9e305c8424d539782705f99125112fb34", "6b2db002cbc5312e4796de4d4b14573df2c01648", "26690f2548c6dbf630de202b40dec417b20c9b6c", "6de1299a192fdb852846e3cfa4a428b8fe81523f", "84c35fc21db3bcd407a4ffb009912b6ac5a47e3c", "a0019c58f18e2ddc2935c21353c03fdd8d5b34d4", "e9afb44fa1bf048e90d68f755945bc2b81642239", "a765b506d29cb46420e125c86ab6ff442905e9d6", "bb1bc9df5e9cec3e8a03a027b8016b8fc25be73a", "3d5a4b31e6e25cd0cfefa0b5925674377cdaea7d", "9db7af606e6eb6238ca900145c8270245e9d2959", "216c3b24df3e2368a579c76b4f98fd6608ead14b", "77ee75f96e6498ccc7bb7ebcca2acd7cc4e33229", "41a96329d93e7b06ebd6b3a761cc0d50375c5f15", "f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d", "d4c5a544bb52f005cf754ea1f86b1d2124b8f74d", "dfe5849fc844bd7b747b3ecbe0f28ffb7e6ee917", "7689d23a22682c92bdf9a1df975fa2cdd24f1b87", "2d2102d3fe127444e203a2ab11c2b3d5f56874cc", "318c4c25d86511690cc5df7b041a6392e8cc4ea8", "8ea9093542075bd8cc4928a4c671a95f363c61ef", "2ad18180c313fd8b6fb6a9d87922974d111a26a3", "b7bf1fead0b966de955b33b024fe84866be42695", "9a62a3b6894aeadf0043fc42b6419c062ccc66d0", "21d1315761131ea6b3e2afe7a745b606341616fd", "729405648886d51d441351dc51ee47cfe53bcaf0", "c879278c64a525fd8efd5dc500719975a3ad2d9f", "3e2ec9cea926bd02072aa41bd81eb4c593e205e9", "62f24c0b30e3703c8e24b7118a5a6356d4856077", "a8895ffa0b60d1456539f1c6bc995bc7c83a9613", "d5d472266aae563010e12ae90fe5fe6f3c484cba", "4a45b8f8decc178305af06d758ac7428a9070fad", "2a142bad9ad28ae70ad399b3962d51c16a2d1289", "c9d7219d54eccb9e49b72044d805e103fe17ba80", "61ba7ff98d8ab1b2f10c6e0c32dbfcd41e7017d2", "2f587ab6694fdcfe6bd2977120ebeb758e28d77f", "a6b908c2d4367068f47c3163d4695c17a6300c4d", "4156746cdc99a509549c4028c7122eb6dc90b1a1", "4eba5f6824f29533e0cd2660e49f2699c7e6501f", "006af49a030aa5b17046cfaf40de8f9246b96adf", "f67afec4226aba674e786698b39b85b124945ddd", "b8942497abfc1025b3961d3e62bd326b829b068d", "1c4c0cf2474bd250b30aff4326c013a1fba9f5e1", "ade6e366157dfaf0f7eb34e64c7589e62bf46ffe", "2da1a80955df1612766ffdf63916a6a374780161", "0ee737085af468f264f57f052ea9b9b1f58d7222", "801a80f7a18fccb2e8068996a73aee2cf04ae460", "1667b7c68e733f95f81c12e6cac73e5f659abca1", "34558af5df236172cd99162057450b81f1ccba1d", "98ded5dee0d263c6532a06d5c2a9b08acc4d1db3", "250449a9827e125d6354f019fc7bc6205c5fd549", "67c51d4b2975c1468d7de90118ce3eb17e375b15", "834f5ab0cb374b13a6e19198d550e7a32901a4b2", "7e3147a01108607fa65ace289094e5b5b525929c", "b19f24ec92388513d1516d71292559417c776006", "09a179cc3a195f2d414d46d3378eb74d0baa0292", "16f79b8917f53eff7da88c6cde9300cff1572eb8", "e37bde2765c0869982c48a7bbd139d0c63246fa6", "4ab2b6ac74bc2f48c4e1fbf6156ec5f44c3b0654", "390baa918c5868cae882ff8a07493b6dfa71b4ce", "c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd", "c1a6ef8845b1798d7c0e208d337cd94e41cd7773", "2e10560579f2bdeae0143141f26bd9f0a195b4b7", "189eedfc81ee47b2b44caf8bfe816726697ba421", "8f954b1cb03c97c64a10ea563214585d175557e2", "5bbf9a1dd48c9d388f791ed0627f010c3f5b6d64", "075f0ca63dc0eb24b537125a983c28d61678fb2e", "5da53a17165fcc64e8fb6e9ca532bfb6d95ff622", "51236676c3bba877d82c31b393db1af4846527ac", "806a567515e85dd089792b6de6c0e509307d0fb3", "7b07a87ff71b85f3493d1944034a960917b8482f", "c14fe5e69383fa9dfbd256965df06a99fae5558d", "bf5c5c346e5d378731030edb53fd0c8a49781468", "a9090748223ea0932d075a2eb5615ea48bb24cc0", "737a3fb82cb23cdd479fd368a45847f2c619d444", "120adede81dc6b3bfcb4cd276f0b73cc58a96c1a", "a66d2c8220d53742ec240ed3e77b8f81a0d72531", "f01d1f8a714716e0a7a399ccf8b5707272ebf7dc", "4e29533438d5c612ab24b80c840446eafcb5995f", "5a4a53339068eebd1544b9f430098f2f132f641b", "9941a408ae031d1254bbc0fe7a63fac5f85fe347", "308898a6bcb180f8fde1901a89e8baa213eb4954", "404c7839afe2fec48a06f83d2a532c05ad8ba0d3", "775be2fe9e6d7ca97209692ee3f85fb0f1b125af", "da13a0dbcea87e032acb6b1ce64f7cb778f39612", "8392640c275cab9bfbf6b35eaf4556618745b118", "0c2d0734a2c9d3e4d8a585b3f2ad4f642bf06dea", "7e1d22e87c436cb9f9cb1841b1e6f2d38c012c0c", "3d38022d7ba71e865ca406d28acd3fe547024319", "cfd37181201c886b591c30869af8c7f39cd7d22f", "22bf723638ace7a42842b1f31005f135daef1a06", "7208173daa5131f59be645fecd81e103ad3a2d70", "e90a925fea8456718527a73a3621fba9b848de28", "ba26bf9ffd328d23faca2deea9ebb3292bddcd93", "102a2096ba2e2947dc252445f764e7583b557680", "6b7f27cff688d5305c65fbd90ae18f3c6190f762", "5375149a74361b51d734613be5d2ccba0c6b6955", "8ae92b73020dac2c98c72cbaf823cff1567bd91b", "4d3cbc5799d7963477da279dae9a08ac4d459157", "99c81b2dc2a5def38f62db269bba7765cff129e0", "fa60521dabd2b64137392b4885e4d989f4b86430", "e75a2c37940a0f4e8b9f8d40d059ae4da2c443dd", "c425b9f65845c319f3ef2c3c09aa2fb056d7e3ff", "ba38c4f083ccde8a932952ba865e57d930476b1b", "13402ca147038e8424a4ac18ecfff968083308d1", "0fa88943665de1176b0fc6de4ed7469b40cdb08c", "7b058f57d40925e255f88648e9bd41c6aaf1c37b", "257e61e6b38ae23b7ddce9907c05b0e78be4d79d", "16abea5536a53251ae4d13bed7a3aac70d03a1e0", "5284e52e739ea3b26b9defe7d0d44522b8a391dd", "58108d7ddb79dcdab8c403f0dea6f239058be0d9", "544cf61103ac01eacb6d41f4d35ee1cf89167db1", "c86e6ed734d3aa967deae00df003557b6e937d3d", "fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb", "ed3bd655c6c428c0ea0c9d505e8de09950700170", "815f496b43a7acbbb530ae2fc2ff05db5bb7d7de", "6a3e43e397aa9a4a329c22eef7359a2959064f44", "48a62c91794c55aa3a81acaca77de52753a854b0", "1c99e412666d63e46e1c6606841837d3c18f48e6", "664f2a6b454dc7e4dc81ac441fcf0f4f919ad884", "2ba23d9b46027e47b4483243871760e315213ffe", "8db04bb700610bbd1429792113af743fc17b5e18", "8bddd0afd064e2d45ab6cf9510f2631f7438c17b", "7f71833e2d9d374d2fb1fc37e3c99911d545980f", "a8ef9a39e68bbc7f6f25a8155cab52aab6708886", "a4ee9f089ab9a48a6517a6967281247339a51747", "07a8a4b8f207b2db2a19e519027f70cd1c276294", "245f8b05bdd1ac65a09a476440dc4b05ac05d4a0", "21ae4ed57d395aba2158a4f86e93935be66dea20", "ba571cbfbabc30dfbc00678f37d41f50309a0b54", "654ad3b6f7c6de7184a9e8eec724e56274f27e3f", "6503c617db449861b96043b2bc892a1b4cb40a95", "f29a24ee71940aa46b2c3438d4ddb89b33acdbc4", "9dbc8a0abef578414573d7e8c5c56bf91dc74a4a", "3654e8d4f55df2dd12c0cdc37150a8a989b0bc74", "48810b60f1fe6fcb344538d5de8c54e5d64c20bb", "d6ae7941dcec920d5726d50d1b1cdfe4dde34d35", "782503820f20d04044c0bd385c2a4ed95d889749", "e2afea1a84a5bdbcb64d5ceadaa2249195e1fd82", "a7ffaca97861a4af061a7151f29d909c74c3a7d1", "e7ad380496ccc2e65486c2158589ca9b009cc386", "4b8903b4eb3a60c0fb01c229e3192a5f9159d460", "00f1b6927785b6f4305cc35c1b0bfbbe2010c31f", "2d42b5915ca18fdc5fa3542bad48981c65f0452b", "877791f13688f7499c35744a8a0dd2a778f881e9", "ad0064a1f3d5e2b86a904fe44d2c17680870e2e9", "d4a925cb0ca66b1cacec325751f4a85e5b74790d", "7fe7fe517119e39eab2ab7cc5f03103d9d1c03ee", "b10319193be303038a9f58e7552632791e3f1ada", "20e3fa37b32de36237b6cd7b29ba2eceb0ca3ed0", "7c2174a02f355a00f1fd5aac6dd62c84a919a2d1", "c9bffa1879b16c988d8d777631575fef0ac31371", "798cc4f05ac0699215d0083130c2793be17803fc", "70f3d3d9a7402a0f62a5646a16583c6c58e3b07a", "e667ba14fd3ea15491ad7c7f2f7e3622d231eeae", "edd6b6cd62d4c3b5d288721510e579be62c941d6", "9063b17ccfdf73fc789d01d3c44c451244638528", "226f08bb8fd049fdca2f6a8a41ffe485a0ee6ebc", "485f8b28dcb7a5ffc98beb49fcbb50cf0a0b6331", "911ee14fbd3f0b9ccbd91090fbe4aa65d73f46f5", "1b5866c5b3715b410bfb4ccca6d42b32162d4ef1", "22d51400424c93eebc136213d51c1aebc9c1f715", "4e91defcc0b5ddf18fa70c34d91ce94a0be0f4d7", "33f62d2c5eec27a692154cb536c77ecc2ebe6126", "53275aea89844c503daf8e4d0864764201def8f3", "e7263a21c0bf2c146e1b8a13b8ad518286a55159", "473badde394d37cfc51349b5e212c567107cdc43", "2a3d5b5cd9f2955b3835d951b11d13abd22c999f", "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "b1ffd13e8f68401a603eea9806bc37e396a3c77d", "62eeed3ae184ae6c944fb41b49ba32fa506380a8", "788a3faa14ca191d7f187b812047190a70798428", "7c2494c8b59a76404996e4b34889da36d140dd4a", "0677dd5377895b3c61cea0e6a143f38b84f1ebd7", "584f9ccba8576ecab61fd4575da7484c8f9a7bf2", "12417ed7ae81fb4e6c07f501ace9ea463349481b", "d5909f8d82bff4b86cc36ecd000f251c1a76293b", "b22b4817757778bdca5b792277128a7db8206d08", "bc17c2075d7f7bc414acc00a88ff5a464eedaebe", "17f3358d219c05f3cb8d68bdfaf6424567d66984", "6066e13aea80f64b6ad1415cfc3839c1f8590c04", "edcb662834aae8878a209c769ed664f8bd48b751", "bcbbb240450a511841ee8510f8dd274e6c788f2b", "55848229927e9430fcf844207cfbf0a8b444b6a9", "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "91ddd01e983336731dce6640d66242409e6d5430", "14defe2727fa6793132b6c419ff2ebc97a765a7c", "20f0834aa7a3f687b63bae4e00e9ca0a52c22789", "69c8b0ec77d3164df2069a5133780a36ec8e91ad", "6e80dcdc0a702931aeadd154d3a7cd635441a70f", "6196fa926ae752f927cd550b74259069e18abc71", "ae2b2493f35cecf1673eb3913fdce37e037b53a2", "d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921", "621ea1f1e364262348135c803557e7b3454a804e", "8818dafda0cf230731ac2f962d8591c89a9fac09", "cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8", "01b86519d78f31787f6e6200c122e6f281d4b56f", "bb9a697548b8f3f9f2211228a907a8763d2a7845", "403530d1c418de29cbc595775ec45e16183950e5", "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "4fec382efed4e08a36fafa3710b97f0b20de1ebe", "799322fc525964889afbfde27db1fcef9feb3d61", "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "c35724d227eb1e3d680333469fb9b94c677e871f", "273785b386eaf01be96e217a2a8aa1c2ee694c2e", "31996925c87d8306401a970fe10e4c0f9123d2a5", "cfcb4d0d9ba7eb86f068c4fe0f9e6676a37481bc", "912475e1be5c327ab25eda51d77de141ac5f4ea7", "eb4d7688cd03f3863a175149f5fa293140f9df30", "f6c814f6efff8031b9ebc62cdf0f3b343441e7d3", "4e97b53926d997f451139f74ec1601bbef125599", "9e1c3c7f1dce662a877727a821bdf41c5cd906bb", "492003c835c97b7151583e00764237294a80d05e", "d8b2e37eb9d2ee0e84bceafce84812cfa0b88211", "1c44b632bcd6494f4cfc41c70ed53d93f72473cc", "4941f92222d660f9b60791ba95796e51a7157077", "ada1a5f2d2a3fb471de4a561ed13c52d0904b578", "57522ff758642e054d7c50753ec1c3fe598533f0", "b4282699ac8fcaba118afae76aaf72bc97505fb3", "f8a2a6b821a092ac43acd4e7366fe7c1e9285317", "a45c0cd7f089718e52bbb75bddcb1fdfeb49c4d6", "251179381afd4f65ab59ddbd8cd37e24d439d140", "0ac54252eab1ac7641e03bc9b7344e2064e06405", "04fd269c96f11235fbbb985bb16dacedaa3098fd", "45c182f8d003a2d505e4d1d491b5d03159a70b81", "27c4369463ff28f4ab16e9d9eba6f48102c8793e", "641fd2edcf93fa29181952356e93a83a26012aa2", "9baf0509f63a3322d127ae4374aa5b0f9d5439b8", "9a989c7032051566d3ade03e5650ea6a41a5a9ed", "833cd4265bd8162d3cfb483ce8f31eaef28e7a2e", "00049f989067d082f7f8d0581608ad5441d09f8b", "fed5546113d945807e2f24317c0e560d1d21068c", "1cce875bf085602a2b0e486eb37dadc47e4efbb4", "4563cbfbdba1779fc598081071ae40be021cb81d", "389b2390fd310c9070e72563181547cf23dceea3", "c43e050799ae2d193b8fd8623ce93fdac4adf2a0", "e51d170dd4119ae1464c01fbb14e04e0ce8b3025", "d6e8e560100c43ea22070535b2d0e31f518ffb72", "e23ed8642a719ff1ab08799257d9566ed3bba403", "f89e5a8800b318fa03289b5cc67df54b956875b4", "0a13581afdae66bcf52755bfb53410e6e54c1840", "45824905119ec09447d60e1809434062d5f4c1e4", "7933a312c4a4ba431eb0357fd05e8609ca66eaa7", "c03ef6e94808185c1080ac9b155ac3b159b4f1ec", "4b850dbf3c818dc287f27f144f870b4f0b08ef09", "4cd7c8e6c36457729f0c7a0819a6f3a5c84c1765", "97eabf253570f1fda79a0e217a7bbdb5aec871da", "fafd0d7dd9c845960bfdc90d87066bdb14d4e3ab", "b4e3a880a978604b11a2c476bd84a187dfa03ea3", "b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf", "54f9d5b3cc0a29f514fbd624ea0ea0b8f7209edc", "16f48e8b7f1f6c03c888e3f4664ce3fa1261296b", "60bc358296ae11ac8f11286bba0a49ac7e797d26", "c2b3bf311a9182b1452f5ade82fb6db6263e2ddc", "d80564cea654d11b52c0008891a0fd2988112049", "b343c170a9f50133318170db12115c700c45d04e", "7dab6fbf42f82f0f5730fc902f72c3fb628ef2f0", "1340054bbef7cc95007a8756b736086740d939bd", "56599a6e1a3b552081f82f0153e85bfc3144e07b", "a111ddc170f41b4df799fe76edabc1d97f6034de", "9019286143f89561509506c3164f36f0e7e3a364", "16554e854f1dd6964883d929ef34eb4c1f04e072", "f79da1632565f10ba4feac93fbb1aa521ba09015", "3bdf9c8ba5f5cf1845fe69b3874f0036ea8c245a", "4771af2eeb920bde146c74ee0f56bd421793cd33", "92104ae97d3b57489751528a315966c0242a6efb", "2cc9e70cd4664533af9bf34b2da7a1c2694616f8", "3a8ac4e7ae1987944d4fb704831336b277416f98", "9c829fe97d7958d7ad29b22193e1abc6fc95a444", "646030fe70672299b099adede5c446115826f4f6", "6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7", "6b327af674145a34597986ec60f2a49cff7ed155", "fdcc1e66697a724bd2d0d2da368de04a7eaf9209", "72887cb810616b5696814cd14b7e892af742d9b2", "42a712dbfe07262ba2b479e800008f08ad1c1388", "ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf", "5fd147f57fc087b35650f7f3891d457e4c745d48", "27109d89d37b7b15c229229da6720d21311d33c4", "4273c24df71ec59c0c1cad95342d01cf53bb7d8d", "bc995457cf5f4b2b5ef62106856571588d7d70f2", "86f605392f693fbc39e1c791e69e616bc09aaf61", "147b7998526ebbdf64b1662503b378d9f6456ccd", "053f5a00d58541c417693a4e08a76005e135486e", "065c54829a8d2511adc9122ad183be97ada7a7bc", "341de07abfb89bf78f3a72513c8bce40d654e0a3", "9d9106d48e30c07d45ab07c21f8c35d11ae4d35d", "008936436a5dada1366ccf239786f913a47c340d", "a9df9f3500d518b1eaa2c450d5cc3b2b8437dd67", "e5ee85c412942bdfd9df8cc519d4af31d6d08a67", "6d6834a094767356474d34b099a2f042ddb44e69", "d3f907cda8cc949fc61ae1ced09f4f7020e61159", "81d67fa2f5eb76c9b0afb2d887e95ba78b6e46c9", "0ae192e146431a52d7bb51923e9bdd7292ab12ef", "ff3401d410fe89771be0f528170c4990397c264c", "5423749e5cd6a386da9a4db329a30abe6dabc8fd", "c6437e7fb44f13a5ff610c9daf8fa7ce4a6c1ec3", "688550a6c72f14cb8f2d9d86802c7cfc3d3d800e", "8a5099b2ae6912b4df22534a1b3065e147c38b9c", "fe030b87e3c985c9dedab130949e2868e3e5e7d5", "62b90583723174220b26c92bd67f6c422ad75570", "fb6f5cb26395608a3cf0e9c6c618293a4278a8ad", "2780f8fc25320f4fb258442ceb790ffe301730fe", "d2860bb05f747e4628e95e4d84018263831bab0d", "80a3ad65623a286c11881b542e3262ebb2733219", "18ec3b37a33db39ac0633677e944cc81be58f7ba", "556ca2389246b0a848b578dc824b930e1337a4bc", "d5c4e3c101041556e00b25c0dcb09716827ed5b3", "69b5dd48d0f6f95f4dba5ad8b35b51de446b632f", "154e519235933c594624243775fc383b87480e6c", "8d9067da4ba5c57643ee7a84cd5c5d5674384937", "0ab07d0d6cf8d417e695a43ef4b88bf70b68213a", "ff83aade985b981fbf2233efbbd749600e97454c", "49d9a2220843e2de86a37599ded349ce936565e4", "95a3af61b398976c13d96baa32481e1bf4a31984", "4a5bd1f2935f9a3c33f1a103a1d43377e61265a0", "9f723469b6634a7d08d3b888e23421e873c95617", "fa3a1b77c105f40199de835a75b4b232ac332f71", "af666cfbb17e1d816124fa5b7da6bd31dded9205", "46d16042c6edb8d1992ffa2a2fd853dca85af7cb", "d0fdf0f3f47d9f9d11e84961573b324c51518f34", "886a50f269ace4b140ddee9d4c7277743b27e250", "6f900e683ea1fc85825a403d1ba2df7875f35bb9", "7c0c9ab92d49941089979c1e344fe66efc873bdd", "d9ee64038aea3a60120e9f7de16eb4130940a103", "4131aa28d640d17e1d63ca82e55cc0b280db0737", "ca42b7f881437976a6c60de0229ebbf31b58c3bd", "d21ebaab3f715dc7178966ff146711882e6a6fee", "7b0c88bc555e3ced093e5cecb5dc1996f42eeeec", "8216ec4e94537de667510a7ef2ea051622fffb36", "4cb48924acdcc0b20ef05ea5f5e856b081d9b40f", "e4fb693d8b2755b8e989e0c59b28db3c75591503", "9fb372fd2fb79571de1cc388154d4a3f0547d440", "a22e1e95a21d895049ed24b5c86f888a0a097565", "99f565df31ef710a2d8a1b606e3b7f5f92ab657c", "2786a595741c0bdbedbc0e3cc2e4174f784ac776", "96390f95a73a6bd495728b6cd2a97554ef187f76", "d81dbc2960e527e91c066102aabdaf9eb8b15f85", "3712c0706269c6f177e9c2b24b2d47b7ef186128", "8a3bf4d403a39ed33f0fa8cf78dc906d6130595f", "7804949c133d7308d828a94a7944d47c1f0ffe67", "cf65c2df432cd9dc9e29aca55da4f49d9cafe961", "e4d4bb14863e6a24a1a84701604cdb8e9fc14cb4", "9e8b20ac34f560ae12bb51f3e3713ea755d36c85", "6903496ee5d4c24ca5f3f18211f406e0ba8442d6", "39c254cd706b9fb89b369b41b1c4d3949cb554f8", "c9367ed83156d4d682cefc59301b67f5460013e0", "0e312aee6b03a697d112a1bd8d25d84d1a122d8e", "b1413b4ff88f33f3d14e30f6e9e206bd3f5d8fd3", "5db0fa82c322bb7d9f60109294d088ff139eebf3", "9d8978ee319d671283a90761aaed150c7cc9154b", "5417bd72d1b787ade0c485f1188189474c199f4d", "23876c7f756c9601266aa0149800c1d990683b47", "f04bb86c4f46666fd1c0313843be9758d6144a9b", "59e91bd46492391beadce041806297e856af6ee6", "fbbb0c1ac9b26047348fa1acfcc1e4b47fcd94c5", "d3d887aebeeae44cefd5c2bdbb388d9ce109e335", "c231d8638e8b5292c479d20f7dd387c53e581a1a", "a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd", "8326d3e57796dad294ab1c14a0688221550098b6", "48143b1270a2df096577e6681b1f1ceadacf73e8", "40c3f90f0abf842ee6f6009c414fde4f86b82005", "c64a45c2ce84c86e67cf22429d78432aa138317c", "174ddb6379b91a0e799e9988d0e522a5af18f91d", "f83d1726f7a4e164027a3fa44cfe842640907d35", "b099dfc5c823be79f9ca96168263c40d0020b92e", "8175f126198c126f9708fa8a04f57af830fba6aa", "0471eb1882bb7f538b40a0f76c7073992e7bf213", "907fbe706ec14101978a63c6252e0d75e657e8dd", "847705c7d5be33efd424299b0cda9287e439e688", "3e43f0171fca7a36c7fed8c736787a1366e4f410", "79815f31f42708fd59da345f8fa79f635a070730", "442ee5a3f51ca93a642c20fa69326f3b17367565", "a7e5a46e47dd21cc9347b913dd3dde2f0ad832ed", "d1697250de6f91d3a3266c1ff0fdce0bf96acfe3", "472c8606e68b34f4cc796a11963155fe3c6bfaec", "7695ad05116bfdf9a6d106b3ea356a37d41a7c0a", "ea94d834f912f092618d030f080de8395fe39b3f", "7da7678882d06a1f93636f58fe89635da5b1dd0c", "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "de60ee528db713d264ffea870b33f8be054fb8c7", "2d6d4899c892346a9bc8902481212d7553f1bda4", "43a2c871450ba4d8888e8692aa98cb10e861ea71", "0005a23c0db792ac9d0f5d408c39240ffe4c1d57", "e0f828376631b362aa550246c73d85e354126fed", "2829c069ff0e6b6e8bcb904c2ba61279434f7980", "65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45", "42f422a9a67ba71a9ac699205940d8cc2dca8317", "9557da53ddb8a122281f92a17a2a816acde1b3d8", "2a417a16473e2bcb1c98cd7814bc106760925e60", "d87ccfc42cf6a72821d357aab0990e946918350b", "d49fe11667eaaa8d52d149c7521f6705162642f5", "c86afba9c77a9b1085ccc6c44c36fa3a1fdb51c5", "ef2665a91921035b39a81e5a7c150a6dddf7dbef", "36771d5b865a2a3b2a1b76f199298375d53927fa", "e459158c2217904d5fe9a409896bd49622f17ebe", "82821e227683d66543a303f4faddc1376a91a463", "84e9de36dd7915f9334db5cc1fe567e17d717495", "f00dd1f092ad93d659070a8e77f00b5902ec74b4", "02a97d3cd6c57636ef6f1bb9e3171e832ff8d307", "6fe99c4969c2f2d3dde8ada84e7388d74eaf0528", "4d91926b9291fd4542547f5e974be8c82cf6c822", "0217fb2a54a4f324ddf82babc6ec6692a3f6194f", "471908e99d6965f0f6d249c9cd013485dc2b21df", "c8855bebdaa985dfc4c1a07e5f74a0e29787e47e", "822502df38f9b242a939e0ca19dd4e197690ef2f", "2b852a4e5026ab962050a0ef23a6892e06abb152", "486ee9d420fd1eba1006221d3d61931563bc4115", "6a20f975eb253503bba46a421275d46cf74ee1b9", "d309b1b2d8b6667fac99f83bde278ceb33e0f3dd", "4a57999570a812795a93a6f9395058f575a0e531", "4ed0be0b5d67cff63461ba79f2a7928d652cf310", "13b44d1040bf8fc1edb9de23f50af1f324e63697", "e21c45b14d75545d40ed07896f26ec6f766f6a4b", "dcda558e15e309d8e3158bf2cf8e921cdb59cf5f", "5b16f0870546cd57a934f2ee039136a09abb96b9", "1ac85387b1d5a05f752ddf671763f02e923a2a03", "76ec5c774bb3fd04f9e68864a411286536a544c5", "ba60b642a558858325f50d38a345b6bb85114ce1", "04d09bed8b05ed10d25c1cc2ab47381b0ee34c2f", "1bf0c7bb20266e307b122bf785eeb76163bcef07", "b362b812ececef21100d7a702447fcf5ab6d4715", "4539582f25f4316c1655fbb308ee8a5b11649e38", "f086144001353de3ddc5cd3124be18ee0a116e17", "9dfe94243788a4bc992b1c8e933afcfef94ce467", "21011f38e721e74c3979ec6f3426aec811423640", "33150902d90e9e5917418da0e91c05d062fa8e05", "8dbf8f3ccf67500b1bfa5cec7225801bcf5cd1be", "9d7edd114f788763bb16280249fae97c4aa2c102", "6a7efb6f3471a2aff702d5e8080e066636335de4", "bea185a15d5df7bbfce83bc684c316412703efbb", "8681d139d86266642ff5008da05a1b30489fa29f", "6099fa74d68a9b05a57b9bcebf832db243e3680f", "3bf154166f149669ae6bbb2c265c6ced4992f3d4", "b0103d264f756144f8acc1994f2327699e280652", "57932806423204b445bac4abeaede97edb90fa03", "ab3b196c5386f7ec2d05870eeb8872c8b8e33d77", "501bc80334fd6e429d6fa2da7c81ecb1f03580b6", "c8a5c5c8e1293b7e877a848b7a9e5426c5400651", "af6af58ba12920762638e1d0b8310a0d9961b7be", "325723a7fa69f9976feeab5ba9abd3c11e3f7c80", "e3a7fca5f94d85814b600e870b90259eefedaf6e", "7d8b1aab662186af200ba581573809452c9c2584", "c58b7466f2855ffdcff1bebfad6b6a027b8c5ee1", "744fe47157477235032f7bb3777800f9f2f45e52", "98aa23924e224f6e6cab043fa363f10f4d473c7d", "09879f7956dddc2a9328f5c1472feeb8402bcbcf", "b23254b32e36e7d9782b7a076d6ad7b475d56c45", "14a022a3eb8cc9681b1ab075650d462788de1fa0", "9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0", "c82a9763fb0b84eafa59a2733e944ca092f42087", "eb72dcf0ba423d0e12d63cd7881f2ac5dfda7984", "e68ef9597613cd2b6cf76e81c13eb061ee468485", "42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4", "20d17ffeb8adcbbe7cfe7b73cc998a1d20a91553", "79fc3c10ce0d0f48b25c8cf460048087c97e2e90", "353f8f0eaa81a5a34078024c72bb1c255237687a", "f6b9c16ff73e019ecf8fcae860b68bf3447254a6", "b8b2acc7e5bd94651c8bb025b6311c108c7a7d37", "64eebdafe5614e7271207047ce28a9c596a4d6e6", "d0256c9431a18694c33bf0c6a8e0c48ff0614d28", "3144c9b3bedb6e3895dcd36998bcb0903271841d", "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "96e77135e745385e87fdd0f7ced951bf1fe9a756", "2b286ed9f36240e1d11b585d65133db84b52122c", "31182c5ffc8c5d8772b6db01ec98144cd6e4e897", "5efdf48ca56b78e34dc2f2f0ce107a25793d3fc2", "98b54eb04e531c34a20320e19b55f6721bd0d651", "829ddf932d7164ebc915095a4a94471049825410", "98142103c311b67eeca12127aad9229d56b4a9ff", "9b2b7e1153638286305c12dee2aba8d3bbd22a1d", "2cf5f2091f9c2d9ab97086756c47cd11522a6ef3", "e853484dc585bed4b0ed0c5eb4bc6d9d93a16211", "0a85afebaa19c80fddb660110a4352fd22eb2801", "26d407b911d1234e8e3601e586b49316f0818c95", "1be10b1f05fe7a5dd28cbb63d61a992c5d9b611a", "0310d31020ae59bf3d6ac61b6206dfc0e79b4efe", "aff69fb91d8bbebe989703f35ff86d5becef8c89", "969c4d89d7b22b36d8fc569156ca6e040b31565d", "9c09b9410da8b1c5f0e3f6b65502160734214782", "17f8f5fe7a6730ee8d735d055ccc12231aff4435", "bb31312a7f07486676cae4f7a2ad7da43b0700e2", "99f9a3437fbdc3ca7a54d4c9eb6973334f50f51f", "5a677694e23fc36c08e3752e9428fb2b90ab0397", "90bd4e3c4d579b8d917439ee365257c5a7f840cc", "50c89813eab745dc170bf440cba869d3999a2827", "04be04189fe77a3bbd108b8c0ef78d63b0bd5118", "239323312b22934a31f946bfa496ad9a144c2483", "9c87036509db08781d442567895f24ea38933912", "06c08bde10f691fdc0c02827b669d8134ecaf1cc", "172cd5d213cefd99e93039eaf3d8824b3ba203e4", "fa7377104d6246a38e432c95e2179e53c2678fd0", "ea9857a5e5c72d435054a5a73e50dafb755a2597", "1cc902dc999103c8ed27559affa5cdaed6fc2c38", "2ad0ee93d029e790ebb50574f403a09854b65b7e", "c78dfcc119e5a88ca5f4ce6787b2e99cd1e350b8", "09fb440dd2daf2b93e36dd5df93950f0f3bda685", "209ac2bac0f4235bea01216a987d87d9380260c7", "3327e21b46434f6441018922ef31bddba6cc8176", "d31af74425719a3840b496b7932e0887b35e9e0d", "0135747b4d3c9a2d983f7d0d9f4c39e094825149", "817178917e77f55ffa8d918833c0a667b32130f8", "43bf6489abd63992b82f2008b4417a1638955f0c", "334f267ed3bfd29febf3739caca3539374de9055", "fe88308887b5acef8d7853be42ec46558d613e77", "13ac93950986fc023d45e9647197d80b86fa4867", "0e4c87100aa7f585ccd969aa71dd5dfdf26e732d", "7713517d7b38daba56ca5da62e2a9c35ec39008c", "3581984f6250fbbc550f2d931fb201763bcd08f2", "358ad3d1a9cda69d35a841edb8f819c69056f588", "f39fc7c420277616eea29754d0d367297c6f02c1", "588041c603e5ce1cc8d3cfeae702a3439768ae0c", "f15b8efe8b9511207bb1261e218a54bcfa20349b", "8e36255da222c01a880c9b88d61f139f7bdba62f", "fd9ab411dc6258763c95b7741e3d51adf5504040", "83bbc84e2d42fa037a5cbb9b03e60141208e5b22", "746433b148d25bfbae9ecbc94e8db72580208546", "6f9c7a5d99a33c25ee384f760108e07f5923ccee", "88590857138505ee524f3adf6da9c57352d917f2", "fcbfb2744874fa709d72f6dfe37a1202789b1649", "4934fd234db9a095e51d36e738e706886d1dfa0a", "5be1f85e1f1b9e3f6807c69df1cadf44c3d9a2db", "b2bbd23cda05b17c0311325227cf7dfa1ef995aa", "fb084b1fe52017b3898c871514cffcc2bdb40b73", "886bd160dc8e7ae213940e2bdbd16cc990a56b46", "5d494e5517a25365fe204eaae3c3247f7e57260e", "e69ac130e3c7267cce5e1e3d9508ff76eb0e0eef", "815069f591122aa7b388615f944c17c7fa1eff14", "a9af0dc1e7a724464d4b9d174c9cf2441e34d487", "0f22b89341d162a7a0ebaa3c622d9731e5551064", "3bcdb430b373fc0fafec93bdcd8125db338b20e4", "312a261d15bf3f3ae5187069aed5bd2821f881bf", "24977d59a5de4eb597347bef00f0c097a641a8dd", "80840df0802399838fe5725cce829e1b417d7a2e", "74cec83ee694b5d0e07d5d0bacd0aa48a80776aa", "cd1349619415202e82475353e2b2a60da2e5bd65", "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "72e417b8cb4912c0aa991de75153c3f732ab447d", "68d1c9d5cf3c4530171d1e88fee777592e00e1f2", "2cc2c2421963a2d303dfe1f7b87e70973a587a32", "810baa46ed829553bdb478dad2782cef2278ca60", "1602475fdbcb700f10d17c3c3e80ea92c9ba2c44", "3210666306517c4ef9a4c1a4463c728b0e3aeb72", "9057044c0347fb9798a9b552910a9aff150385db", "38d8cf143e64e013b6b9eb3ea73957c3b2ffbee9", "b69dc4972605ad0dfebc8c75bec6333588276b1d", "3818db72031038e39dc7a4a6f76b8d26ad91e53e", "1bd6c1b3976e480883b77a962824854b8b9d4816", "19666b9eefcbf764df7c1f5b6938031bcf777191", "f510071fd7fdc6926e3958ebb85518bcfea17f89", "8536fd81b568b2c9e567adad83be3a048664ade6", "1cb7936b82112de51c9e3b885735d6c81e86e1a0", "4883baacb405dad3635a5e564b68f3190140c79c", "51082f012c050dd8fa872962f93c5407a94f6daa", "a513977bcd8cecd2ed1836bf91b31a80a1ebe27b", "1fe990ca6df273de10583860933d106298655ec8", "b19e83eda4a602abc5a8ef57467c5f47f493848d", "90a70b38c5a1b40ac16e18628a7772923cdc5cb5", "a6f4fcee61855c3ebc11534646db619847ea902b", "b0d607d5e9e79540c9f2673f2224b2d51be3393c", "5b5252addfef181c8a44043664050473dd01e14d", "4843c1873bd36b4702ee22b25e09b244849564a0", "000115f877c3a3fc77736afe620a22500188f3a5", "e37a1c3590bbc670210b77ad44772c852d483672", "09fded4954d2df2ccabf5812a0cf5040e627a312", "12727bb8a4a1462553a13a253a97c2569cbcba0a", "f6fa97fbfa07691bc9ff28caf93d0998a767a5c1", "fa4b5f663d5d600e5ae3cb85ba1d080ab1721add", "de309a1d10f819d69a4ef2c26d968d3b287c3dd5", "4a6fcf714f663618657effc341ae5961784504c7", "9d5ec256ee5a6ee2d9602f651e88132f2669f690", "3fa88f10b3b357b2541ec1ace41f238e09718242", "f66a93565b73299cb726b58fe2866d30e34f94c2", "2564920d6976be68bb22e299b0b8098090bbf259", "5a0ae814be58d319dfc9fd98b058a2476801201c", "ad9ba7eade9d4299159512d6d5d07d7d3d26ae58", "4ce68170f85560942ee51465e593b16560f9c580", "f149a23d65aab507dbd04eb5c484b8cd76fbb66e", "309e5ae1554d2afc3b94eaea66b8f31ba85c434a", "1bc23c771688109bed9fd295ce82d7e702726327", "5bdb6ad866f52a3fa439e81a88b11d7a78904b07", "892d47a6e46fb95def22bf4c21a79548457e045e", "9b14225c6ff8ef043866775165eeb6473f9fbcb8", "9ed4fb4f25ceadcc489305f766f26812077ca151", "42df75080e14d32332b39ee5d91e83da8a914e34", "519f4eb5fe15a25a46f1a49e2632b12a3b18c94d", "01379c50c392c104694ccb871a4b6a36d514f102", "58d080c29764eec7c58682d7c7aa74fd3a2c6456", "83e96ed8a4663edaa3a5ca90b7ce75a1bb595b05", "5996e84f482b7335cdb08ca218d450d37501e182", "ec440ffc63baa8d150a49c678d99321ad2455c14", "4040fcb0678f3f138136ad373b4befe89e765fd5", "d8214e68bc7af0e24558fd9e79b2d777e46f2edc", "dca13f5fba4a93039958abc7ef94ced7e16e5361", "33792bb27ef392973e951ca5a5a3be4a22a0d0c6", "2254930afe019a0d10c9c0d8e11af8897ec77fa1", "cd2221518485f829d3fad81e33ef4033ffa66f75", "df413247bea63b75214496d2d2eb2802f74e79a6", "1623b36a5e516dc9fff9c9dbd8101845eba5951a", "0d06b3a4132d8a2effed115a89617e0a702c957a", "294cc3d492a38f7a6886d55009286efdfb04395d", "035d72b687247d8675e05538d4d0bc9ea4abda47", "bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53", "4f42346ad17a4e05bac7a4b3f96480900bd00999", "72aa01cc6dbadc631407b4d2d0addec172dc5037", "dca6ce475f6c2496a5f87e853d18e4b37fb27fb2", "fd60166c2619c0db5e5159a3dfe9068aa4f1b32f", "d40828fc94806d2941162f8e8118429a799fd3a4", "e029d87365f706193e02c2fbdbe6dee97eb796a9", "b8a853be273b6c326e599a2cc031460f56b73d86", "3f7c4fb00be2124fe8e2e9d48caf86265b6471b7", "5e4fb9b216657cbed1125b3be359ee482168c3e3", "7e79c3a92f60c55a6970f89acfa152bcf74823e0", "09138ad5ad1aeef381f825481d1b4f6b345c438c", "684ffa16d86d82688edf52cc2e80b4021607b360", "ad0dbdd4b0eecf16cd93f8f1f261874f5830f64c", "072db5ba5b375d439ba6dbb6427c63cd7da6e940", "2488e73f347e56a165369c5d7999f73a21283e20", "6bac4add406bf0cc30f9e1a7d8a87282dedc7f23", "520d586b50ecaa9753f714c6e76e6b819663d1a4", "6da3ff4250103369f4a6a39c8fb982438a97525c", "ee04c6c9c672fedf39f601a466f64a98541cbe19", "6847a733a907eb215abd466e5bdf0b57bdec4cf2", "783f3fccde99931bb900dce91357a6268afecc52", "7d8141fd805da71af51205b9218e0768e9371188", "468c97bdfb67614d458ba63eee04756add5631b3", "edbb8cce0b813d3291cae4088914ad3199736aa0", "84ce5efc0d190011cbe3f62fb3532a31a50fe0d7", "8ea56e4697430d1dbc728bad5a6e8ebafcced835", "b84f164dbccb16da75a61323adaca730f528edde", "427762b51ce1a21b5405d581a8ca2bf950163e32", "642f19468ecf21cf97227b0d50fc1098afb37140", "f1d7f33d0f769c2bf7ee91fcb266579d3677bbad", "fc64f43cdcf4898b15ddce8b441d2ab9daa324f0", "0760b9375db1505e9b9c182e98bb9579dd9197af", "0ff94e25a8ff3bd5c98899684d0885423fbe4f91", "e4cbe39daed8700a1d6f4a25a3a98645c4f231d0", "29d414bfde0dfb1478b2bdf67617597dd2d57fc6", "2b0d14dbd079b3d78631117b1304d6c1579e1940", "1b5875dbebc76fec87e72cee7a5263d325a77376", "f6ce34d6e4e445cc2c8a9b8ba624e971dd4144ca", "3be95fe3e701420b8be1c71c1eaf7347cc27eca5", "c4a024d73902462275879fa6133bff22134fcc7e", "1ff057f2fb8258bd5359cded950a3627bd8ee1f4", "12f60ce286d625f91e56db29a82923f004875cd7", "0af3c97068638ec2b79b93ff8b3fde9bd999f153", "af657fade7bd78d9916bbf4305bee7170121d8ac", "b9fb66f09b358a4ce167b54eed8c596772a392d9", "9cc43e3a756485b78b991605f44eec9be3530350", "5e832ea5328cdcc9b4346458672ad8288a56c0a7", "255971561c250d1ccee1402397586d2c7d0cd545", "a88640045d13fc0207ac816b0bb532e42bcccf36", "638f419126cb7e2a97bbb092ef2791b4d18801ea", "1a862270ad9168e3bf5471bda2793c32d4043aa4", "3b5d3e38690b4d76f77bbf90a45f17403d28857c", "e724c9a69613bef36f67ae7ed6850b1942918804", "48381007b85e8a3b74e5401b2dfc1a5dfc897622", "31ea778b6f5c9c2653eb2bed307ac7b02bcc6894", "8c81705e5e4a1e2068a5bd518adc6955d49ae434", "442cc39db208a66acf3acc22589b13981bb303fd", "9dbae72418fbd5717fe750f1da442e10527519af", "6500d612b1391e5b02372cd45c7ea6143528c15c", "5abaaf9c222398caea40d62e45b81a847436b784", "28525f9bb0797fdf7c0a8a9d1666015c60610077", "7f1078a2ebfa23a58adb050084d9034bd48a8a99", "0ca66283f4fb7dbc682f789fcf6d6732006befd5", "5fcaa87dbde0c4ac437a6b674843927c70f76a78", "d9c0489d0c2baa8be219b2bde51364461b53ccab", "1ff9954aa15e0be174a205293766ac52b47ebed0", "794d344d6aa97e3cb67a44739207aa9c1360db8d", "266bf8847801ff302c6f91f899f36269807317ee", "24c7554823bb8c1c0729c4ece5f3e50965aea74e", "4b1abc5b52db2ba854101b137d1fe3aed9e21274", "966d22958b3738cd73d93a03c1c704a72ad470eb", "fb62fae47f2ccef2e11eefb112765cdbbe4f0400", "5d09d5257139b563bd3149cfd5e6f9eae3c34776", "d3be8849ebecd40060644d63c4b3d4e2dc555315", "3f17078de8d62246d2d28428d0d89a98a6652a29", "0390e80ffde8a6e6cd544c6b91b19ec747c73637", "48dcf45a1e38adbb9826594f7ffaa5e95ef78395", "a53f988d16f5828c961553e8efd38fed15e70bcc", "5834555d239c27369e7a4167bb0c0fed725d761e", "aef8456577768f2ff029107149c9c6713e8707f6", "75d7ba926ef1cc2adab6c5019afbb2f69a5ca27d", "01a8c7335f0d9321c95d6a57f2dd9f128735f1d7", "a3bf6129d1ae136709063a5639eafd8018f50feb", "a7ec294373ccc0598cbb0bbb6340c4e56fe5d979", "37c8903b087629d66ce3763b0176e9b424f7f106", "7bef608d7eb5ab26856de62a681a1503720e4e9c", "471bef061653366ba66a7ac4f29268e8444f146e", "202d8d93b7b747cdbd6e24e5a919640f8d16298a", "19fed85436eff43e60b9476e3d8742dfedba6384", "9904026bcc39ff435b2ce8f5b1e80d735339ac5f", "50c919fe195775af1982d2fa8fd4f9d8c2f5cfe8", "bd14bfd765b15425c76f6fd4e83968f9f1097202", "b2ff5762f7b68ca9d947a374cf3d87e85fc7e752", "da0ae07cafd76210fed537e4a776cb52b3c50174", "1e57ace361b941d9d210e59a9bbac7697b6bcff5", "e96cef8732f3021080c362126518455562606f2d", "b9d81aee3d1a3d8cc64c70d2185e6c27b94f8f66", "ba0ac513d656eef49666ea2231b516bab286661b", "eff229d281e9f572555952314cb0f4ca0ea91844", "2220d18368ab2fe730b27525aec94f9a819d13cd", "37e35bfa93089930788bbb3eff3d7386906d05cd", "2792e5d569b94406ca28f86c9999f569a3d60c6d", "1dae2f492d3ca2351349a73df6ee8a99b05ffc30", "c6df59e1d77d84f418666235979cbce6d400d3ca", "6bdfd62ae9eb026dbc37f6f2db897fbee5cf8a5d", "fb3d3fae626ed54c0c5899c97a82215befb3df58", "c1fd7ca74cf162e0e0da4dd06105f9755dda4f50", "7eb8b748154167e8c8ef1e61b24e5369e057b03e", "9babe1957e56fadebb32a64338d54fce794c7094", "bd0265ba7f391dc3df9059da3f487f7ef17144df", "3965ff8cee7e1542740d9ba5096ace33fc2f4980", "c6d71294962a74492ef190f6d4d33c068f324953", "69064c7b349bf6e7f4a802f4fd0da676c1bd1d8b", "3cfc8c00d390abe5f94ba7a1251e085a794b35bb", "8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd", "2bdadae8c95f365bb1477c91a38857d2fb413ef5", "9ded6abf76768305ffc9649c39b168656b61f714", "fe11881b6a395f20a7881b40e474cc10ca1d2996", "e1449be4951ba7519945cd1ad50656c3516113da", "5fd39d09b0011d596ebeff63ad6fd5753da6f75d", "55f669d7def736aa2f9454a8645cadc55df9ad87", "acacbe3b89f23a5d4cbcfbf8bfc3424026ed5bc9", "8106f23890cfd7c7e3d023a3f9acabbfca36c7ef", "3294e27356c3b1063595885a6d731d625b15505a", "9606b1c88b891d433927b1f841dce44b8d3af066", "b732393cd3877f7e6d3cf3ca033a42415bd6db56", "b86019811a09a9ffeb73c4e3fb5285587f449aa9", "9447367e4ba6a720ead70a40ac6deceeae478940", "d36950f7ac378a3dbcdd65ee67382a22fa83688f", "580054294ca761500ada71f7d5a78acb0e622f19", "1e8e3a954762f58501b970928071ed1b58b4fe40", "8871ba2354e93b6d9b04b5d2f7582a5ff0888a7d", "32eeba2ff1ef4259de7802c8ee8cecb6d6c581a3", "db671f0ea4d13ee81d3678ea43bde0cbbe7ca66b", "d12d2f87517e3d63d62599a72752445819320c03", "06518858bd99cddf9bc9200fac5311fc29ac33b4", "24e42e6889314099549583c7e19b1cb4cc995226", "30c5d2ec584e7b8273af6915aab420fc23ff2761", "61329bc767152f01aa502989abc854b53047e52c", "a566780ffbaf2e1ee88a821be4d0ffade934c518", "4c9261b1edda6b21c47412df3069145ecf495565", "27f9b43737e234cefb3c5cd72324a36cbe61ee3c", "3a2f235fa82b41aee2a45194c1b159f777abffe0", "14fa27234fa2112014eda23da16af606db7f3637", "735be89c989ab7819e2f640960a8895e79913e21", "34f9b561885198d3eaf8de2b6441d0a8aaeb9efa", "b04d06b737bc8e9543d5ac6a1afa33aaeb3619c0", "3035bcbad93767570d444c136f4036f357648d60", "17dcd3df2bc6e7c654ba412b2ce14c79f337f47d", "37a23e76674e606ce779131d2c93496e8a53bb2f", "2be0ab87dc8f4005c37c523f712dd033c0685827", "a9ebeca46445b8af728118b05e56d95d4985000c", "916fbe5e8bec5e7757eeb9d452385db320204ee0", "04a38470fe72ec113639749a2af5ff9024e62266", "67865e222e679806c9fb24472633eb96adca92f5", "13aac86217231a7d118ecdff444ee07234fcff50", "749ce4f00b0425376a884666d2f79e8c5191bea4", "170aa0f16cd655fdd4d087f5e9c99518949a1b5c", "66810438bfb52367e3f6f62c24f5bc127cf92e56", "fb7bf10cbc583db5d5eee945aa633fcb968e01ad", "2d45911a4f3cad91ef5374720b5ff90efd8bc3a9", "22e121a8dea49e3042de305574356477ecacadda", "08de380a16259134da084ba859346d18a225dd00", "2fde9f3cb021bb5c958a65d5a29ba998e1cc8c17", "081287dfe5980783510fc29ccb34008eae89f4f5", "2d709edbe61a8616bef2a1f45c4d777b4ac1e96c", "adaf2b138094981edd615dbfc4b7787693dbc396", "3e6613d86fd9c814afe056838a75e89cc025224d", "9378ead3a09bc9f89fb711e2746facf399dd942e", "0e82489bd928af59b0e05eeea3e1ef952d9cb4db", "3c6e28b3183e2786ac2004616e1190d2853cf40b", "1a1a60fd4dc88a14c016b95789385801c6b80574", "5a8a4b0ec264e0959f0c1effcb9de4a74cf6b148", "392245913bf63c8a9f44881628f8f3f587e08189", "0233c06139127a83e645bdb14f11674ed610c72c", "5dcf78de4d3d867d0fd4a3105f0defae2234b9cb", "593d191fbffa8aa54f78d387d24136f384bd4dab", "a3fe3e6e86eacbbc456152022af2c1a0c0c82f51", "65a7aeff98fce04157f76a5fe6ad5ec10fc88e7c", "119bca48c83538c06e4989cbbd9e7d079033ba2c", "f07449375fba8e786966733b2f092ac25e103ae8", "b0f59b71f86f18495b9f4de7c5dbbebed4ae1607", "741109fea9da1102ea59af39aa44e8846c966151", "871e5c0f69fab2bf331420a038f2beb0e000276d", "e2c09f29ac989a40a7cf8a24b44db7281a188758", "bd9834c57903db8d0095a92e9569317e5478cbbd", "c09cd44a4413de704bd74d825ca435b742b73ded", "ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9", "5167e16b53283be5587659ea8eaa3b8ef3fddd33", "3c09d15b3e78f38618b60388ec9402e616fc6f8e", "e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6", "753a277c1632dd61233c488cc55d648de3caaaa3", "85e8c103614cd330596c5d3eb69eb18dcf941435", "be02c2ea2b54d8fa30e2528f91a801ecf9f2185c", "4914f51bc2f5a35c0d15924e39a51975c53f9753", "0f533bc9fdfb75a3680d71c84f906bbd59ee48f1", "f0dce694bd71e46e5b84512f06de046f83a8096e", "887a1f28c52ec9a1cea0d8a68a82d0a04b3a0e25", "73134cc8ab3cda6eeb7ac870ddf8d32430c48710", "2d7ce5b7e86845ddc2ecc05c2095445df264bb48", "38c7eb0fc56e0d041c3f026e581cc0a5e4ad8736", "0dc2fdf1b97c76de1e7380e8126f8acc7d87e23a", "897a5407c110dd4582fcdfd63696192dfd912e20", "b92e9e26205840586430ddc03e042e85efc6c680", "6d0d29e6660eb0fb8b2c1245ae953394e2e333c0", "97db1cf65b4583937b0899635b9e0f7d36bcebfa", "5304cd17f9d6391bf31276e4419100f17d4423b2", "8121824f4598d600e4cdb745cd2715e4655c9e88", "24e347ea064b80ef927483f40d661bb94e756e26", "a62997208fec1b2fbca6557198eb7bc9340b2409", "a81d3be2fecbfdff8ed1d04dc6659fd7143d9cd2", "aea7391a521dae31a4af4cc7ddfbd3c63c9e3902", "f9b6242f8e9d5f7f9e31214444290f812889f946", "423be52973dab29c31a845ea54c9050aba0d650a", "d8162cbb4d2e00340c0fe3525f8894bd71be79d2", "8e6957334ab60111fd7e2ae59b008a745223aabe", "0ad4a9fad873e9c4914fd2464404b211f295d7b6", "f16e931dbe640660562e903c71f2676144a327b7", "d53c66005a00207fd75845210ef4bb7b4dc290b0", "8d152057cdc4eb0da992483e120fccce13075651", "3ce8b89c34a3d22659e65305a36cfa4685643d93", "01b5d63b60bcc35aa8bead42ea52a517f879bfc9", "9983cb9a683f30df0452003cf3068895e4961996", "76d955e83b1d64de95f37336322cbbca0019e3b2", "3fb054dbdff35b7ac3940c167e7292c7646e1ad9", "281b91c35a1af97b1405bc724a04e2be6e24971b", "70b742e0c65388c176d21e9f48aec00f4a5cb9ff", "3514140d9c2e692abed0aebe0531f78c250f5806", "c0e5a471179d2d8c7025febe77a90c3a99c7c9fa", "199fdc3c0b73d9469d2e732c97e889bfc8bf8bff", "120c85cf69ea656b02262b4bc5761117fe35674e", "becd5fd62f6301226b8e150e1a5ec3180f748ff8", "1b90507f02967ff143fce993a5abbfba173b1ed0", "1ea4347def5868c622d7ce57cbe171fa68207e2b", "40a5b32e261dc5ccc1b5df5d5338b7d3fe10370d", "75113a9e6a065e25cff08de01b7893825eb58641", "2a4b693127a28a2c56914bd2e5b99ea0f0883176", "23b48110cead14510ebb22dc388324466fd56c95", "20daf06cea3dbc0b92f7ba4adb8fe7d95d27455e", "2ee1ba1c3d4797fdae46d3d5f01db7ef5903dadd", "052c5ef6b20bf3e88bc955b6b2e86571be08ba64", "5ca50e0cad9b066dab61644e3cb6be773c9d6136", "838dad9d1d68d29be280d92e69410eaac40084bc", "21c497b761f0bc4c8e89af2544807f6266457b07", "2502cdfb39474bf14407c2f6a1a4663d83d4bc0d", "8c1a6265c148c454018749b0dd614bfd8eb18d14", "69d29012d17cdf0a2e59546ccbbe46fa49afcd68", "59f325e63f21b95d2b4e2700c461f0136aecc171", "d570e0dd72b8488388218793a7301c8abf14dda1", "9454399b92939a650f6cc967d129a71c9ffbb59c", "34c594abba9bb7e5813cfae830e2c4db78cf138c", "d040475eecdbfe361efdfc900d1cfd8671694fae", "34b42bcf84d79e30e26413f1589a9cf4b37076f9", "344449bc9491e7e8e2e45193e71c9a7219c094d4", "0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d", "2243752f527b502b848fb1385ab3bfbe8f57e135", "dbf2d2ca28582031be6d16519ab887248f5e8ad8", "79bd7fd2b40aadea84bced07f813ffc28c88bc85", "14f639a4c49280a4886f9590402d7651b1b042a4", "e5462299c4783d16d88d0143731902e835fcc615", "108d44bee37d4190883a268274ff78a8fd20de54", "1c1aa29b709370f78cc485b14c18b89a53229b62", "55249d73df3c38aca08f45a60ff54d9ac8b678a0", "46a553e670027e838716e5a1a39577d7cd7a4893", "0601416ade6707c689b44a5bb67dab58d5c27814", "2a1deffc67ccb5f8ca5897ac3f31dac09af70f05", "ae97b4e528b8081a77eeaeebe85ceb83ff884191", "b72bcf94a483c48558fc68a0d36336e4453ceff5", "b9c9c7ef82f31614c4b9226e92ab45de4394c5f6", "92d6e4067acade472773ef94ec76e8586c4e256f", "f93750b355f4112abde2cdeb0efca6dcf76bd1ef", "12679cdcb4bc5e9c60a795c2418b40b5e1681652", "2860ceec62ec14b577fb747b1051193d7b6b98b5", "aeedc6b7f2ceaaf9d9cd8e327ca979128c1947e9", "5040f7f261872a30eec88788f98326395a44db03", "3c32db9eb8b2a95069b80a63ebe874f9526afbf6", "31dc87637fc68db9f7a2196c9a95331736a5bf61", "054b8f998b46660846e1b5001b5bfe70c2787397", "a3ccf7fa5c130c8bcd20cbcd356ad7a47cdd4296", "8820c003644f9073c6354bf3c82256f0ba7f97f1", "6d97276eeae0b9d42e08ee31a301837ab900467e", "5f0d4657eab4152a1785ee0a25b5b499cd1163ec", "ffb15a1aa50aee4b80d062a59b3a5e1245dcd83f", "3a92de0a4a0ef4f88e1647633f1fbb13cd6a3c95", "865e9346b05f14f9bf85c1522c5aebe85420a517", "da0b41c22e0918c99ba89a04eed4f8ed58cc1d66", "d0ae349512127ae384e45d877edde04523a74eeb", "e1773400a72bd7305a2c4f617b976c6f9b2d6662", "8c85ef961826575bc2c2f4da7784bc3bfcf8b188", "366ad07343e304ca3d04269d12bd49cd95f3f5c9", "4511e09ee26044cb46073a8c2f6e1e0fbabe33e8", "4ae3bf19b9e8e6fba4f8589a57a0c1336ca56141", "ba59052195901768cd8b0336d0c7cb4882ef642f", "a915feed51493490157e8211360d3bf53743e3c9", "ced7811f2b694e54e3d96ec5398e4b6afca67fc0", "217bb92e707c7ba3ac0f02079baddfcdd82432ab", "4dbfbe5fd96c9efc8c3c2fd54406b62979482678", "d1bd956a8523629ed4e2533b01272f22cea534c6", "9993af9505ecf16c337633506d8842253cdb1187", "907bb6c2b292e6db74fad5c0b7a7f1cc2a4d4224", "6253515390d484e4a13b69f4f5d495f5d5e9c0ba", "f9d2e8f2038fb2c7e088185c0f1e05b841d8b8ca", "261c3e30bae8b8bdc83541ffa9331b52fcf015e6", "2434ea848bfc5bbe77bdabe8fe346290a60e9537", "51c02f135d6c960b1141bde539059a279f9beb78", "c4b8da56721ff2e6cde29e8250cd4f71b37422fd", "ae05a5256cc9463fd3bd50931751aab805b7af77", "1b5d445741473ced3d4d33732c9c9225148ed4a1", "2751cab92020cf332f745536a04d71c3658c91e7", "9ec8eb9f290ce099165c5d0e672b70da1ce28803", "05fa2ff1a6020a34cb4e0515a24f5eddc9ea0dd9", "d3cd2102ab7c374ffab25eb4945592a00033893e", "4f5a8916e0f2c7563e917bac37f007f1f2eab937", "6fe4704e7648200aea1a109634f183d0207c2443", "125c267219955f1703b097d6c764e22b668059bf", "275b5091c50509cc8861e792e084ce07aa906549", "7c7551e47cda1822de672d7ed2e05b77572bc6cc", "8b8dd053aae04f000e8b9d38f7397d7f1a3b5e99", "1d924f61190b0495e2031f2bb365f9a7ab2ea9f6", "46e24761446ca5eddc4fb9ea51d846b6b2609499", "a93c3dc4efaa80382210f5f8395ac9b04a485f45", "8ffc2cf0403d0c760708aef41a5868c2c464cea2", "4d101c064323e4e72ca8d95d1b345c4328ed13ea", "391642ec5ade3579654a14c3644af6f086af0158", "4bb9c5f1ef1240486374f4f80d8f65921f74c1ad", "ec7a545ba99542b2b74340d2e863590e4f450bb7", "bdf5434648356ce22bdbf81d2951e4bb00228e4d", "3af6487da9a054f59beda393ae85718a1c5b200d", "96e7142ab905c54c033696ac3692e85692c43bf3", "01576b5fe525d8dee025fd3776337d74dacdf224", "6a8743973e24c39b33ff50e023447daecbd9f25c", "695b040a9550a46b5ffe31e4a6abbadfac02c1ad", "a42f7038aed61c45b12f1b2c505c89757bb461a1", "ca81213fdb06d88e349de743137de6969ad3315f", "04072a097a2ac6a0ee9132bb61bc95bd68bb0621", "c32cd207855e301e6d1d9ddd3633c949630c793a", "c39ef5554b9964f578572d403522380e95802650", "3748a828dabc6b5292b53cec6080cef33d78d3e3", "237316762470d72a02795a7f57de9279e9cda16a", "50076e679fcbb69cddd1e127165d87512d9b0616", "0149b14428de816bd62f80bbfd89238b765edaf7", "dbf100379671730692abb489d4aaa25f866ffaba", "6c5c48066d59b429d57633b8716f9d69b8abb812", "49b2545b8b9ed81cc547ec974e0b61d01b7bc759", "914382fdda66162bb8621703bb83d8d69b261e86", "8d8a7bddf8fa85e6a8995346eeb5c09107167632", "9c7032664c6902c5a936697b9bbc01f6446c58fa", "82cf87b569d3382edde1872c66b1992dbaeed71c", "d1864c668527825229828578cc857c9f5c1c684f", "8f2e83f6d70b9e161ad714fee79ed6d23ae2a93f", "59c9d416f7b3d33141cc94567925a447d0662d80", "63c022198cf9f084fe4a94aa6b240687f21d8b41", "3b47e618c5ceb1c16db7f709dd1cfe53d7417b54", "40012a8e480a1724cce1a71e2b8584332225492b", "29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea", "7b90d656fd658e0219563f8f5af3df2df3b11338", "9541e80b15ee3e1793f2caafc3502a6fd6947b24", "a656ed4aeb85e01827958935aa666466430547c6", "059bf35362d896dddd5ebcd5b1b93682efa9f46f", "cca228b47a603a9b9e2a1e3a1b278b35612d078d", "bbe949c06dc4872c7976950b655788555fe513b8", "a93ecf7b9780989c709714dde0f93f4d81eea640", "0c78445982c8c5fce2442b6611d2660696b9696a", "17370f848801871deeed22af152489e39b6e1454", "bc504105e6a79e347c4b46b4c767d42f365666aa", "89e23ad356db842dbc23446c062af2a0d735b096", "04adf2e51df06a03b6decf520b0952a54a538a18", "5b011cbd450bb859700bc6ff5e525ae1d2a4c521", "a993500f229ea4a4a3162fea2cbbec9ba2a5e404", "c0e0b878ec8c56679faccb3c3f5e2ae968182da5", "5cbc9bb8b7bf21b07e1eb868d718d132311bce90", "3d2c89676fcc9d64aaed38718146055152d22b39", "982fed5c11e76dfef766ad9ff081bfa25e62415a", "1b55e82aa07b9e0009627e1d44a52b37ee26e24d", "03104f9e0586e43611f648af1132064cadc5cc07", "57ec50237ee588d3b40640c4f98410cbd996ee84", "ae8cc8db9e05c79adad03da64a4a9ba0b00f4eb5", "2f4be1b5655df160c31cb132172922e0f440857c", "3fb5e637e95468d4fc133f78950e94db36e63610", "c9c1255057652584603945508b7151206e9e9069", "b73fdae232270404f96754329a1a18768974d3f6", "1462fea6c71be9c442f443488fc7c45e1840e9ed", "075bc988728788aa033b04dee1753ded711180ee", "fb7c85b71a4bc838a1698d72542cc4833fc83784", "1332421c4c2ccd7460ffd72d696a41bb2bd2db52", "a98c435e83bc71738ea215a329f49a26c2730255", "2ae6bcd37f5aecb84a9222331b80c84a3c65e05f", "09d7aa7d856e08ab07074364ffb2c19c2ec5022d", "599b7e1b4460c8ad77def2330ec76a2e0dfedb84", "4e4e8fc9bbee816e5c751d13f0d9218380d74b8f", "442d3aeca486de787de10bc41bfeb0b42c81803f", "30a4b4ef252cb509b58834e7c40862124c737b61", "3fb689c0f1db224d53d9fdaee578d3ff8522f807", "4aa1f51595a80d4c2db03e6a4ad407f71b35e6a0", "68c586e81f593904221598f7ababb97570dbfe63", "0afde5f49ea236fe5e79f3ec9a7e7e2f9a306b06", "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "57632f82553f34bce21cc8419bc5381d50096592", "fbbbbc8fe255191b14608c6d877d9330d35273ca", "40f06e5c052d34190832b8c963b462ade739cbf0", "b246d41b53db2243b4d7c3b811a92000fda1a69b", "48fea82b247641c79e1994f4ac24cad6b6275972", "712609494dd049b44ebfd82698b9305ef07f027b", "d411065a097587a9374dc5178e9f6f6c45b965a4", "fe8f3472982048290f8af9ada5d920a172d6c362", "047175fb23f6f152d86e81100ba7140dd2847636", "2be9144a1e66de127192b01907c862381f4011d1", "d58f1d2fc5ea941253ff71aac7683fd3909cc71f", "e7b4baafea8d34f8fe54d863b7418ac4f5b78da8", "bb131650627cf2d1da570589f6c540041df1ae92", "86d2bb930fd4fec5fbeff69d1990007f786b7959", "0e8a28511d8484ad220d3e8dde39220c74fab14b", "89ceaf90a5cd5b4ec15e8f15b2a3befd81dd5f2a", "4ede16d1aef065a975ae6f9761e623313aac7295", "5c11029cdf7876ca4507d27ea968a641ac64c031", "73be334ecc48751269443b0db2629086125e69f5", "c5313ab990b2a031e41304834b4bf486256aab96", "95dfbcac082aa68a8fa97099c4fd46834c43153a", "fe96f3b0d3280a359651411473ab43b6239434ba", "686e11f04e5be01894c0f4dc09e5d547378a69e3", "d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6", "7a91617ec959acedc5ec8b65e55b9490b76ab871", "d92caea118892a8911e643ca38460b5978bd1889", "b11e97d5a12046ded77bc4dc0f762ac3c34e65cb", "1b92fdffa3f87c1081e88c41b5fb0d7d31b3873e", "77a9b1856ebbc9a6170ee4c572a515d6db062cef", "9033ca38cc650a6dc8f7dca967712d1e98aeceef", "44ea7adc1182c1a95d7a7d91f9845065bd7f99ee", "8a23861d6d700ffa845dc85f2884355fa686ec37", "c5f22a01fc1abce01393d2e3ed4b8ed91b0e3b4c", "6f1278204ee89978cebdd9aced3d9c31c1ad40c0", "72fc4625f42e0b20962a26d203961bb116809de0", "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "564d4ee76c0511bc395dfc8ef8e3b3867fc34a6d", "4f0aedbd0b5cb5939449da41579c93b98048fcdc", "0a4fc9016aacae9cdf40663a75045b71e64a70c9", "e5bc052521aa8eb1e4813f00deab8dfa09f80874", "a012b41fc54060e11744db20ef6d191b290f1879", "60bfe2903ddbd90827b51791c3a004c60ec9997f", "73bf37452fdfaad39ee99e56850e3083eec4a4de", "0aa56fa873d27d9c83c001a6d0f7d1d3a7c901c8", "1244b267758b49978f3a093ba9a66e71ee4ac3e0", "31afdb6fa95ded37e5871587df38976fdb8c0d67", "22dabd4f092e7f3bdaf352edd925ecc59821e168", "868eb748db8bb5b366c6cae1d14f310767dd6016", "fca20ba6e116d8703c8c68bb855ec19e00fed2c6", "d94e77ee8da75691c19e4987369c546bec46354f", "0ef999f06955193aae575b2d00f00d136f546028", "38b8f80b05db035f1ba9eb2e76629ce937fc956c", "57727cc320992c503b8eef2817298f720a016f4f", "56e470c1a13fca16fc83937701f03fb74ecf2303", "226a5ff790b969593596a52b55b3718dcdd7bb7f", "028eb4f79eef3f136ad5e36930ae571df04cbe59", "3d9d1f8075ebdd03f86b4e40b9a5d08447ade8d3", "f3880d1067915bbbaa0c47a736f46f488185250e", "332d773b70f2f6fb725d49f314f57b8f8349a067", "0fdcfb4197136ced766d538b9f505729a15f0daf", "adaff7ff015b4be77e8c0bdb9d002b614d6e2851", "ac9dfbeb58d591b5aea13d13a83b1e23e7ef1fea", "efcedd5750f57f4c7f748783e91918e0f42da61f", "8b97c23b35c9dd031dd30c583e4f18191fefde62", "43d36a22629114e14a0952675e15c9c76f1f024c", "5a1669abdc4f958c589843cff2f4d83a11fe8007", "0241513eeb4320d7848364e9a7ef134a69cbfd55", "051aa14e0b7dd4231636db39398c0c15b2687682", "5720784b7e45693109b867992e3f93e4c747e536", "74e6110466306f41f703d84bb3d136ba414b1998", "3f67083cde69d50a47a5d6407389e7681872f861", "286eb053f55e45ad5d0490c1c18f6d80381dfb4b", "6c7a42b4f43b3a2f9b250f5803b697857b1444ac", "4c55ea9c04d46d60ec5789f4e4c3224c41360768", "4c50d612e64f08a269c996d5dbc71b19b887c493", "8e452379fda31744d4a4383fcb8a9eab6dbc4ae4", "6bc72ce9cc599e404046e12ee33a3145a3c5a3dc", "73f965d9b521117d35ff3ea7e71250ac5d8388a9", "5194a8acc87dd05a92a21f94fea966a2815f9b38", "63eefc775bcd8ccad343433fc7a1dd8e1e5ee796", "6daccf3d15c617873954bb75de26f6b6b0a42772", "047f6afa87f48de7e32e14229844d1587185ce45", "5bed2453a5b0c54a4a4a294f29c9658658a9881e", "106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9", "ad7f51b24f4325086b38b468e2057dd0a9725ccc", "9be5e52fe3977852ff719998e6dbc02a76478fcd", "c1091cc8049d18d8fb012309eb87b9531be469b6", "fce7c61dac242ddc992055a08a01e8b2d55f8a8f", "17dcf9db28b41fbfade10dc14f885b8de1b0c6ed", "4e729427f5cd4be22dad7bef0eb241e93497dbf4", "34db21e6275a013c2fc5d9f5147b91bdf05856ae", "b9cedd09bdae827dacb138d6b054449d5346caf1", "87f960948d6241700809105090aafaa680e5b6a4", "3ea0bc7cd58d4214d4ed20e8acfa76054f73654d", "e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d", "d8e5362a16914e779a135a5285775be49d60dccb", "c8279a389738f3011edc6e9ddfefb0410df380ef", "7a666a91a47da0d371a9ba288912673bcd5881e4", "2ad9a264cd44f42a5eb0f928ac78ba15e0d1cc18", "c390fb954a07ecee473e0704ac065875121f6137", "ae3c78acaa1b1422d5d01e073d850ed3ca13c664", "70674cdbaa43678a6b197df45fdce6ed33ca0ded", "c71f36c9376d444075de15b1102b4974481be84d", "e486b9142b64bd18220b9b730a4eb6fae1e5e669", "60a33bcfe4b40cf46772e6aa1ead10489e924847", "d97e7799142e2c66b63fe63bc52632fdf305f313", "94ffc269a89bd69b5e33aac26f457d68ec355f36", "0802c3e0c332abcc0175a609ac5d2d185ce024a7", "6a7ec333ccabd41b9d20f05c145b3377f6045f43", "657bea04a19eebecc4519030a26d6337d3e31840", "77967f001fbadab624318e79013df3abc95fa52c", "31e0303d98fd1bb6a1074d4fe0b14228e91b388b", "2cbe913aaf7657dc53c64f03fc0e20b62aa369d9", "8fe7354a92b4c74c22dc0a253dfe7320487d22ab", "26e1e0d35fd00c5350025ef78c9d1a987e74f396", "8f052851b96719f3ed0d8285baffad73f7244423", "5dc168fce0712bc5dee40aafc4404a1167aa78bc", "3283477ebd49488e1f3c78e6e828678ea2bb815b", "06625b0c5747ccb8524fec9f44e4a8aa1ecc2151", "865b552d0556f257e1bf3d4ba476199c2e802a27", "a2bcfba155c990f64ffb44c0a1bb53f994b68a15", "1ec73ee49e422b4509c016ce244822144c849089", "38308a4fc038611797a5193c6d3abb593a6a3a37", "6ca10c3af356f76ed37ecce7ec25c7ba79e9cbfb", "ed6003db58b67f1dfac654868b437efcef6e2ccb", "ff9e042cccbed7e350a25b7d806cd17fb79dfdf9", "ebaa909fdcb6f1629a7b5f6dfecb11d2fdd4549e", "a61933332a3ff7e748f001196f5c97b249963569", "293891d0c36f62fb739d6ddfdee1bd17fda73b74", "375e478acf62eede1cc69693c54d81aa718df9e7", "1cc3c5f242d885738e9349a91d4beba82ae106a6", "e1e3c82986453cbb3a6a41bafdbbedf02ff63ae9", "b5fd75f0f03a2762f436d59c5e8220c65b649178", "4f00f5fe9d762009f524fb97555088769b96328c", "9ff31462ae749d830fc8832f5808b2a82d747587", "7a7d9cf8a6e28da11b71057948975fd179ef34be", "b124116a533e58f342fe2547ee858c5e8f816fd1", "e5629a5a6d08848cfd3dadc23e2e28775fc43cb9", "3389fa2f292b72320f4554261eae34d57e2db7b6", "ce9450d0d6b1272bd2e6c52a2108d6839fe21d12", "ac21c8aceea6b9495574f8f9d916e571e2fc497f", "19d00c90674de88c093c367425bf6820f3a7ea35", "44b91268fbbf62e1d2ba1d5331ec7aedac30dbe8", "f52c80df4e1d465906a8be5bb0bc3fc5a0e147a6", "4461a1b70e461ec298d7066ba103deda48d4ba22", "121839d3254820b7017b07ef47acc89b975286a9", "e695b8ae49e905bdd240b8a6202ba97c97b12a7b", "1535c185a01c952237ee50788b8123d503a0dd25", "12e80b3a89bc021a6352840fb4552df842a6fe7d", "8f88bcf3b2e0fb9cb09240541d4b65bcdcd89826", "4b8049b6bdda55e5a17f9f748aeca2c63afa98ff", "5ea5d25b31cd59036859c9b9d54b76052fd6490a", "a8415394b782e45ac92a7d36f4af3cad47602b25", "816c8c8d0f02200f988625d4989a1b4b34d779c6", "72e51f8d989b4418974ca4f38c42ec10206eae0d", "5409d9ff06ad715ee6996e44c88f930b9dd074fa", "03c53fb96a9acd2ec6ba52a2497410f980793bfa", "f755d9b2b7ef66ffdf7504b34167b95d0685c18d", "4865174cb83bcad5011155c27ed6e09c50e46765", "a409d6853571de9bee5e22c6c0cc088e3bd2d2ac", "3c5aaf4053b12e802a6e17184aaf7d38d34dc3f0", "5272c134411c008dfbc4ce14f776ed18f83ee0b9", "b631f3c212aab45d73ddc119f1f7d00c3c502a72", "bafb8812817db7445fe0e1362410a372578ec1fc", "2a98b850139b911df5a336d6ebf33be7819ae122", "4e6fe1ba927fe81a6f4529ea27985cc9431ed357", "03cb9b73fec5af0c1142eb1356e842b70c854bb9", "235bebe7d0db37e6727dfa1246663be34027d96b", "0e57f5098993d15cb04335f9eaeb7203e7ce7b75", "5f4379b83102d1147876007e328e1b209e4b59af", "b27b507fa7b68897adab421d942395e98519cb21", "9995be96f645dba68e392028cc2c221643241cd9", "5173c7c29796b769df6fd4b7d25616d796ff8564", "227094e85ae30794d03f3cee426f40877ac2b11b", "aa1c73388a28f1d2c5b12134577644c9d577a54f", "dddd70fb2746a944e7428e2eb61ca06faff3fce9", "3d7a5d1fbec861542631fcb10f58e38f4f51a04c", "f4815fd002f8b81f9f842a05e888be96e50306d7", "08b25aa0cca422d3a896aa1fdd865a7e970666db", "609ff585468ad0faba704dde1a69edb9f847c201", "b932f131bc1ae2fcf2876610bb0a05d28518c773", "5b19a51a68a583074a5b0a4a08ebfc9b7df75103", "c6ccc6e1323bbed1479cb5cb0b75e5675b7cbe5b", "b2d3d880c37e0e5827ef0e14668b4d640aea394a", "340d1a9852747b03061e5358a8d12055136599b0", "f56e997d239c9176f45ae2352064700f31d5047c", "f68e2e2e420312c1371c816f7c0471d43073ecb1", "eef432868e85b95a7d9d9c7b8c461637052318ca", "fd04dbf62467a4df739c06bcfa78061ba2f985f0", "458713d5c1dd8ff95865302e51f0f8df22204d91", "0fdb6823669959cb709fdb3070e7e5efeebb046a", "7bf04c79f2659a404c9b9b91e0375e1450c3adbe", "5dbae8c58341d1f6e475ebd03aa6b8abbc9d149d", "88e093d90d0734b471ce2c1f58fa0ace6dec1101", "58dbdfdc229237e0ba23eb55653f670cdce459a1", "d9208c964bed4cc0055e313353c73fd00a60c412", "abfc26b65169f0487ffdb2124f375a4924e2a2ae", "faff8ca21ffbffcbc871f3a2f2f3938c7cff407b", "5f4c09cce4971e2d1c066cd344cb3cd807cf7331", "04bdbcd0d86b639f97ae6cfd46beca3f78c1d211", "7348d947c59ee3509b9a857823cb2f8513244cd2", "38b8f638490af5f2e3c2cc6dbfd855509ac969fb", "389db56845978baef0141b876774ea06cfb13e04", "2225e4767de57badabd41994a4891752502b3f33", "f6480efe44e9a59737c1223ff7413bb2727cedd6", "c0e921cd6ace720830c0b4552d717af2acabe7a0", "eadbad2a715bd1b0822ec3790c65765c61924549", "3cc288308ef3f24cf3524c59f4746ecb244a8cc0", "9d60210702f385f9761c83c0fac218e904955519", "e21702df3d0faf5615b358714b7b7392984d6883", "131130f105661a47e0ffb85c2fe21595785f948a", "ec75a1c846194cfb0fd202694390c55e24a27728", "e0638e0628021712ac76e3472663ccc17bd8838c", "f8148fd099c4f6ee2af2575a572f6a26ebc628b7", "3f9ca2526013e358cd8caeb66a3d7161f5507cbc", "2491203e3b268235ea0269f41dbebd113d2a1b0a", "d8b99eada922bd2ce4e20dc09c61a0e3cc640a62", "39b080aea9b342947058884ca25fb5bb1b8f6d66", "7870b08a65c815b49e554530c93936380833a325", "260d1662f5b236943d8944c3e00c9ba006050182", "336b2ae3e4db996538f930b754f7d233af56a628", "7fa41631cdef8f7fba7e1289dd4c5f3723b172ab", "4643c7440babac8b7790494f16979dcd3ffdd2d7", "9f5383ec6ee5e810679e4a7e0a3f153f0ed3bb73", "37faa075574e4abd323ff5ec85934464a5b93a83", "1540076e192ad448771f446c908db76249809d8e", "ed91762544810590cc7eb3b84aec0bcdbc206465", "a8c8b7360c45e25ed175828767424bf9690af322", "2a152dae1ba70d0cc605b0f7418392ed1a294a4a", "b2efe4ff983008e8e951ea4a277e3651ed863734", "e85fa1b3225ed2ab0f3c11879efc9d55aa996d2f", "4f4f920eb43399d8d05b42808e45b56bdd36a929", "6caa275cc502513550bde0a32416a3b32470161b", "b1c6182f7886b04393a557f368360fca2410ca4c", "cbd4713a000be4c0b47cf15036420b2d32b8d64b", "790aa543151312aef3f7102d64ea699a1d15cb29", "c82af405f945b99f59b324a1d07863d4998b0786", "abf5562757150545dfc1d6a552d84dcf766374ff", "49cfb17f3bedb0167a62b6441c6b490b18e5dab0", "97572483020c6a6daab9acba4845b87a3f47fb6e", "43f413567f533497242028bdbc369ab0e7f6577e", "9630109529870d142fde01341da05967484e906c", "acb4a2957e7131b442f87ac6e4fa2d3c1f31357e", "3c2819dae899559f1c61b3b34aeb5d41a6398440", "13a3b4f65a722c537912f698453028fec8197e13", "568988c7c3468b371928688a1414433809142079", "36665db54fa91a07211bd3904924427bed7f897b", "401f056e1017151018e83d2b13b5eaec573b4dbc", "c7ee0eca1a9af0a2ce31d5a745e49a638bd5d59b", "9d518344d5c7d889f9c90c6193be4757fa584770", "bc77cfa7ee1d16c9b97052130c90f824160129a7", "6c66d92fc116a787d39ca53134d23009c96b318d", "206fc605691939ae4e6398cb567352c2d1446bfc", "333e7ad7f915d8ee3bb43a93ea167d6026aa3c22", "5ef25b78dc947f1f4674da44945b050e3f4b9e17", "2986a47f45f9975691ce81e332f4c8acfad4ca3e", "abba22ed4713a5ee5fa91fcf7b8dde58a9b621db", "64c6c258b95a9f7c495fdf8ab5178c7cbe9bdec4", "51245ec3a3d21f4b560e624064087b4625d61bd7", "d7f76415d517e9105437372fd92eefde29e08af4", "4eef479499b6c3baa546b9070fa890e11ec432bc", "50765d4b5c9246c19f0839f887a7ab05c4757d39", "d3fe3dc407c8f4e38cc3d67dc9308156ea610d00", "906b93f519218d4ba2d1640a43fa53cc24531d4b", "db82f9101f64d396a86fc2bd05b352e433d88d02", "baf420613e00a42c1f5215085f74c4e69782e7ae", "845d7e0f5b477e62b484a7fd628e80651167d500", "9168b36568b8abffab5b9de029be5941f673dca2", "c0ed509333dc9dd5cb823d2504cbab5ee965232b", "51edd6f87c3b8bcc228849e3456522b308596116", "f367ed1edfc0f22316de7c942f0046315624d285", "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "056d1637fac0510146431a03d81de1cbf1147d65", "711d45dc5e8f95809be5e835d5a49f65843fa806", "43bce3ce3c2edf327a1dbcb2ee34b743b8ea2fa1", "5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e", "75a3f622f273450d020af5bc5562a69a9dc02b77", "88f51f4e7fc2c963a4e0815862258fd7e1e05d58", "bbb274a7f79c94eb2862ca99dcb23de43b9ff8ae", "ce5a47b920931bfe8982cb4c09999178ed7ce0ba", "add9b7cce37c88df0c800f5c89fa94c3f7f879ed", "dd93611ab7fb697d92e97749ec09a2fdbd86b7f1", "b831a08a7098b64485587541485859c9213e6dc2", "e2acf0d058777458fcab6c7043429ff6e229a3bd", "233ee51b2a874381c28e2c54515e5c92aec33316", "e474ddf96196f464dde83b2f018db9e1bcfeb87f", "a9c120de41679fe336e2779f3e6fe4b04945cb3a", "a125bc46fee1bd170a0654b8856d3b78d62e9d29", "c3203e18a11be454d3124748a48350f5b741722d", "2710e1c58476e1996466530af825de6376a92833", "9e79b3deb36a14483609fb775277c1c9f3fc5944", "3f514fde39c78b98d4df0afd36bc9260db5f1225", "d797df0f60073583b76853de01aaf3ff41b3fae2", "18f8aa212165426c3862ca65bda1d69c655ec273", "4de83b6025526ef7a340ffca30626dac53d7f8cb", "69dfec15a45786bd37474c8e059bc1ab0a7c8c25", "a4cc82d09d5c8e03f2a279a4eb44a9a9ba745cf0", "cb4d8cef8cec9406b1121180d47c14dfef373882", "70480ee0e636a77f6289be98ae39300a584808f6", "2e239dc61cf34f4de9ff2e055b96a012c9dc02ec", "1bd80812c58de8cb0127aea915a45ebbff42dc3b", "b2a33ad2ad1de7f7bb03d10ec4f958e5109f5744", "58d5fe8573aa6156d0b02a253ff820e0fc77f8c4", "2528022c14428ad5912c323f6a356009457c985b", "2789920c91b54434da5aa9e68c5bfe943a917f80", "3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a", "7d2df9b943a666caa9154dbc1a0ba3dda8cf423b", "fd451222670d2f185ae3211b5450fd6951e6af51", "c8e029d94dd0766a5356cc00f033c8604ad94327", "94ed45f469390a58bcf95fb6725b6715743eb89c", "1ba55051d3957895d77257cc9a5885068fb2e43a", "5cbef6da9c2cc630722f1e48a59c3aa84a00c44a", "7d841607ce29ff4a75734ffbf569431425d8342f", "2c5ff99e7e9769677df3eeab9f198e3ead016c35", "0642189222e584e67979a27a4e178ac7175d73d3", "a9c7d8a704b5a30980ee400de0e8a2235221e0fd", "88e6002375b534d88d070f45f466a0fe4db80360", "b5940250c0a136b85a4706b1bb13f52be0037837", "cdf0dc4e06d56259f6c621741b1ada5c88963c6d", "899e9e5fb53653b76a906709524945c56aba61ad", "13a94d8f5eafbbf411c9a70e1b30937a532664ef", "8660575ad46621b25daf7ca356b2d7c4f461e982", "79bcc554fbdeb36c1d7d8966522012acf803c999", "4b0111182ace7443f060a64754ca23b2fc7e1d77", "1550518a37d58e708023b9a1d457940a9c465717", "2f25cea519db27f4c3b137e5d20d14f6e0381ccf", "5712cfc11c561c453da6a31d515f4340dacc91a4", "7803206f024ba6887d93e8aec91dd0097ffc5165", "2d51b52b3eeae8877d1a76ca564a35b8e5051c9d", "416087bc2df1e5150231d85b8103d816fc32a2a3", "ca811f4bb2984aad00d5763c806decc5268e359b", "cedc0927edeba2f157e6ad1c356e8f6487fbb6f4", "95e7cf27a8ee62b63ed9d1ecb02a7016e9a680a6", "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "24da9c1eb30ed5ef0052f760d5d847bf5cd1d2ba", "2fa2a186dfae16958bb3bc8752c57a749ccb4f41", "8b9729519615bb8576d532c9bed799cb5ee6b06d", "5807932dbb95e9def833e98799554b62b66eed2a", "9cd5d74e3db99ae329aaa30e6716653e9580cd76", "bef9ee5093b0427759217a213678aabe22ac52f5", "04e7a4ff6635552183e6a07b4ba7b415986b758b", "f6532bf13a4649b7599eb40f826aa5281e392c61", "51a9de3b6ffd4b87f024cbde2157d03412b1384f", "4fc609df4e17b5854e3b7f4371e5f4192608eda5", "dc1510110c23f7b509035a1eda22879ef2506e61", "c82b3e1cefdecc1fe60f2aa9db46479462629918", "d804e1563ae656794fda008fcef0d79d85b40b3b", "af4e324e4579567fdfb8d3216d5a76e9f94cc915", "80f2284adfeead3d288664cd5a508cf4e5af13fb", "467747f86df4537d6deff03dee8e552f760d7c16", "4a24ed07acea711ca822a77f4b38311d4ad969ff", "40c3ded33e3737d7f8b75eb19c91b3d90c18f24b", "49396502143e920f7208bfd27202d6fead39992f", "41af2f897d6d9f418d752898ff767f1e2a521b07", "77d4843a177031b2b5721824280033e2e601334c", "47b97c9db5269bc3bee88105e23acb2045afb2a6", "8cd4234fbbc1a7a113723f70c592ee0351f974f8", "104ac33f00d0fb9c58d6176c2f94de8654e6fb84", "7de3a280481d5389deef8c4d49a3920147889835", "fec9fb202906e6f136ae92c3a3540b2a84257c4e", "722221f6c696b4a7cc094748aaad8158990ec41e", "6983b8498c634cfa2d58d811fec4e06a6aeb573e", "c91cf824cc7954483284a6e0019c83baeac236ef", "4704c8e6330352f370107a3e9ae297a0e77f5543", "19d36b11b3e99615691a2c8deb964d803906ffa2", "03ce549e60833eea1a518081e93d76fad19fb9ed", "5f708ce777ca58f6b1a9900f21256279defd5d03", "3bbf722c8d35bf3f7efb6361c5e2e58961f3d886", "df4a6ed5428c26b8d094f43efc255a1b4009c355", "1521c815e67572f3a90e44b67675b599bacdb687", "0d7652652c742149d925c4fb5c851f7c17382ab8", "83a715e33a789104d4c21773555e66b913c32921", "fc6c5ef8d97d0c4d7f2a8576f8f5fe8e0ed83fbb", "00d324d84a8fddf660e499c2879b3acc8ce02094", "3622877ffa6179d876acd531feb14743c8760810", "c2f83e4880b44579b7791516a5d9dfc175cb3620", "120f269cbbaeaef9dfe1de0d28ba8b39cd05b618", "364584f8313e7601b1f5134d371e98aeb61110e8", "d665213b59f2460faf171d3b03ecd9c96d606883", "e66a6ae542907d6a0ebc45da60a62d3eecf17839", "1b66b3b8ae9d1f2f673bdd12ccb0c326393ef302", "0b4453df81091bcdafedc07b64bea946bf3441b2", "88ed558bff3600f5354963d1abe762309f66111e", "16da7c95c218e9e97eea7734d6c243e8b825196d", "d14538b0e5fc144c8f600591f75cfa977cc02daa", "3c3915c5b550dc514d308122beb9298afd32995a", "03fd8ab33126baefd0f1b84f4198a44be68dabae", "8776e7260399e838da02f092d0f550ae1e59f7b5", "3f4d2c46b45c637c38b9054820521baed154f75b", "fbbfd3bd8a0b1c63fa27dd728ee907816c484ea1", "c003283920a77a42f2654a8f51a142e2ff2ab80e", "421b3a33ec70af2d733310f6c83ad713a314951d", "4bc31b1cc8e4f0204a02fd900ed0ef36747e5b77", "03baf00a3d00887dd7c828c333d4a29f3aacd5f5", "78345557ff69e20874dfc9e36a2defe92b6abcdb", "8dd62c3a6803aa1f9a102c947cb848affa18f155", "a969efee78149357ec109c1de2238a0cc670858a", "366c14f477bf2ed16b1498d1c56a7e1f2af08e69", "04911900ab7a32117a999dc447f455701b15cc25", "00d8f67ac0ea0bb2c9827b60e1f47c300346cd7a", "6121dafcacdba9aa3cafb0c2d4eb40544be88c3d", "5a9126f4478384f6615bf57b6da7299dc17b9a6b", "20045a9f577fab336ab7684bf8311cc1c2c178b5", "63216e4bbb8736c5587b41ebbd92043656b374c6", "7aa4ed5cf9b33e0c3d90616d52c0f264b416db54", "87a837ebe3b4770165dacf0738602b42902cb7a5", "1668963ea05061a70aa941e60500880de9e0c163", "bd5593b47b40d7f516c3807a13e5c7327a934742", "1addc5c1fa80086d1ed58f71a9315ad13bd87ca2", "8ae02cef563120be51f8655e199a54af856059b7", "75ce75c1a5c35ecdba99dd8b7ba900d073e35f78", "07909972d01df8edbb4b9c9c28c46a1c71556549", "e40007540c4813c81bc8b54dda4dd6f6c21deaa8", "fc8cc6c3f065daa92f45e6379f407c53ca31f375", "5afe59aa89d2faf093ca83256ec86bd50b8cb5c6", "fb1ad9ecd3ca960bfd4e7b24c0ad27deb4937d18", "459b4d0ed3031e2fe5b3b3f176a5204dfb28157a", "de587631aa1357b08754b65bfee7b3176a0c0a47", "5ef3305303e86fcb1a0f8b7aaaacdc5974f3bd94", "ed2420d0fc7087d61633bd9a5b2907d1c2de1810", "489b7e12a420eff0d585f3f866e76b838c2cd275", "76b928ae59b265da627c350216ac36cf93a67dc7", "9cc495bccf03ef14580be951f8ceb36f712cbc7a", "6e1651801b56ef013f5c671663570d717ad1992e", "53873fe7bbd5a2d171e2b1babc9cacaad6cabe45", "9e6c15150179ce848402e89bd245831d9935f4f9", "520ddfa86afcdd99a7c6819473cf5fd80c2bcc62", "33aff42530c2fd134553d397bf572c048db12c28", "95ed2269c4a13771cc8dfe0ff2d4d6a7f4d73033", "f7ff713e605cd8198e474e44a61a78751e26cd29", "c7251a6455f405153df0290c25c25c085fda66c9", "7e4aee2bb849ec9251a0128518f329d572fc9eb3", "d724c43d8f17e76a1fa73c3b685dec9308d106fd", "5517b28795d7a68777c9f3b2b46845dcdb425b2c", "83a77518def85c789bda7115d48310eedb10ac3a", "edc37f68cc6a36ba51db77574788cce4b2719719", "81aad254f9795040111f7319c862a04cfec16472", "83e8bbbccb8613de490b1a362dd3fedc411cbfe0", "0fb17e7f2bb70ca6ad66bb13599fc6a33be9916b", "d3ff28a5660f709ac7b5aa0780e77676b62de4dc", "2acf8de76c3015914131938253fedfce110720ec", "6058661442234f0c58e7979aa8a86d0e2eae0d8d", "a4876b7493d8110d4be720942a0f98c2d116d2a0", "f41d1cba2260a1bc75c6380b688922c65c8b3f4c", "c7abf02d3cce31d44641580b217ca39721f0302c", "52ffe694e8d6847deb4579e2e8d7ca544643b9c4", "2d6f9e4456ea8e89d89b6e68e3110f7b0414e641", "c895586e790eaa1f7191973f451f89bb1336ed14", "99311a926cb1e3080ad52eba6aef27d53df000c8", "3f114f494306cc17b6c3639c28424516ef4ed242", "45e81d04d01ef1db78a04ef7a9472fd4cd6de84c", "bd8d579715d58405dfd5a77f32920aafe018fce4", "944671287862d741a96a4026600b68f4a7976ee4", "2ef0748522a98f3bd06d7819410fd084e34031eb", "ebfaa69a0aaabe79752c8f14ca7a91232e1a7d2a", "1f6576ef2f8b986b44f06bb83b4238d1ffb6c990", "57893403f543db75d1f4e7355283bdca11f3ab1b", "98f7081ed27e250d1f974d89377d1fbd3f78a347", "7d45f1878d8048f6b3de5b3ec912c49742d5e968", "51dc127f29d1bb076d97f515dca4cc42dda3d25b", "40c97adda90fd7d678fb3e614f2ac3acbfab6d9d", "45836122e1a8ed3de05ce0446a93a5adc5ef84ae", "482a31cd4705f3d56e468cc33486847fc100f568", "ba502e59fb58310a3e8f8889f02ed9e782e27c75", "3abfab8740ffc66c0c191ce32ce1240062620bea", "273b0511588ab0a81809a9e75ab3bd93d6a0f1e3", "bd96c3af9c433b4eaf95c8a28f072e1b0fc2de1a", "b3478486f9703c64ee91f9cbce24571e2809b072", "071305535de1c6f6ac820fc0b3a5f1e67261869c", "3c2bdfc703a77ecd0a991b03e620e8a911d5f8f4", "594236967c5dc3948758a1ff38e18105106e5cf7", "3be8964cef223698e587b4f71fc0c72c2eeef8cf", "826fd96d3f612fe1f6b3d8d8c77329645f29a318", "fc68c5a3ab80d2d31e6fd4865a7ff2b4ab66ca9f", "fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59", "9b30771968b577ea1b71c0cfaee31f3824bfa027", "24539a503e4f1686aa0daa775e9b50cc97953888", "2e535b8cd02c2f767670ba47a43ad449fa1faad7", "2ac21d663c25d11cda48381fb204a37a47d2a574", "dae144d7b02aab7338b15d561ea18854df563cd4", "3e2b9ffeb708b4362ebfad95fa7bb0101db1579d", "7b304d7771ab7eb7734fb7428087d80c83accef7", "78fd41d5138b2b920d5b0e151da89ea4eff7560f", "379aaada226a3629408dbb223c7a7252dcc425b8", "9a36bbabea698a9fe0e11e2cf77a013dd7769f42", "18001ed8ce46cf9df5574b1e360550ed9401cd76", "487a097700f06c10c990e9150830de59008712ee", "2c93c8da5dfe5c50119949881f90ac5a0a4f39fe", "b2d9877443ec7da2490027ccc932468f05c7bf85", "e064845cd130ad3a8e1603bcbd592cc17886fd31", "0e4ad0e373eecb81ec3e171c42860589589ab1c5", "0f91e3e67ec5a71a6c29b9ea0fc1916b46a09b0a", "2a94265530b940b5516f431675f882f83581a745", "be0ecae19ee079c65cf621586a9bfc5c376a9e28", "706236308e1c8d8b8ba7749869c6b9c25fa9f957", "73891f78310a6846da559ef36cdbac905961e4a3", "4b4ecc1cb7f048235605975ab37bb694d69f63e5", "3a60678ad2b862fa7c27b11f04c93c010cc6c430", "4510faad196b34f70e5d27f012840d4987627b37", "44062a8f6da687b40fb393dea7712f6fd677c8d6", "4f4c067e684252cf5549f60036829a89b2f35fc8", "9026eb610916ec4ce77f0d7d543b7c2482ba4173", "5480bfe964e85770615a73837e5451888bfaf689", "1c006db94629ef30ec75377925e4b49b4aa8aed7", "0d30a662061a495e4b5aeb92a2edfac868b225ea", "ecbe33456daa76b27fe83eee8dbf7a0b827540ed", "a1b1442198f29072e907ed8cb02a064493737158", "4d2975445007405f8cdcd74b7fd1dd547066f9b8", "c9fe5df03f4de042cad42e11560304b886161a3c", "434bf475addfb580707208618f99c8be0c55cf95", "74d4224989b5937ee6c97eec1955e64ab0699f57", "952283f21ab30a1026b26911c160433ca147bf8c", "0b3144cdc9d6d5a1498d6178db20d1c49fb64de9", "e9ba629fd9533131735e2305929faf0c2c46538b", "9f43caad22803332400f498ca4dd0429fe7da0aa", "a9eb6e436cfcbded5a9f4b82f6b914c7f390adbd", "db150d158ca696c7fb4f39b707f71d609481a250", "b0c820c6996b9cf9798d778a46860d28f1beae64", "dfe2d36ca249876e5ab5500f155e3a5094dbc170", "240d5390af19bb43761f112b0209771f19bfb696", "1e4822f64f105a3f27888cc463e7e49e95c1e0f0", "58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7", "040601d28b683c3c8b48b29e93b6aa3c26dbdf5f", "3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4", "69ad67e204fb3763d4c222a6c3d05d6725b638ed", "02d2c2b0ee77fec8d85c114c20fdae318e95a1bd", "a313851ed00074a4a6c0fccf372acb6a68d9bc0b", "25982e2bef817ebde7be5bb80b22a9864b979fb0", "54b63296ff114133ebfd8e01992a69099deacc19", "6b59716a193d3f91f88277e4c8a0f4cd0b6873c4", "78e076efc67a1d02339c6c42d5da570af374734b", "3ad56aed164190e1124abea4a3c4e1e868b07dee", "1d4e1b4f37caf40dc70d211c6b2745195dfa6c3f", "f5a95f857496db376d69f7ac844d1f56e3577b75", "4747f4e167fd7b30090fffa650be3a49b564364c", "d453e0d308919867b5814beb1394cd0cc1cb2378", "af10d1bb6ef67ab9c8b624b5fcafd9dd2e2daf69", "0c48138a513ca458030cfcf74095071eb99082d9", "7a7f2403e3cc7207e76475e8f27a501c21320a44", "b11b71b704629357fe13ed97b216b9554b0e7463", "8c844654f8b8db6cbf586e16baabff56f91cc127", "a70f3ae590606e9ae7aa5e1c8c04b20d9de43472", "60d9189464cba1751c96b509e4a877b7625bcd35", "4e7ebf3c4c0c4ecc48348a769dd6ae1ebac3bf1b", "160259f98a6ec4ec3e3557de5e6ac5fa7f2e7f2b", "de92951ea021ec56492d76381a8ae560a972dd68", "09251a324dc4865732e2ead50334bfb906f8ffb4", "eb86c6642040944abc997848a32e631d1f25a2f5", "aef59def2a65901de9d520d0442b42bb4a448f06", "053ff27aba868c64823dbbe2167a762dd3f33b53", "45d4b8a1bdf306623ade653faff0c2be4d84960a", "5ec1f7dcce316b66bd107c45a50c03f106bc7fb4", "a24709b9b2ce01a6cf3e4b8d603533d66f411916", "b02fe7db60c2973ab2f9cd42746a34d9ce34da1a", "75bf3b6109d7a685236c8589f8ead7d769ea863f", "eda501bb1e610098648667eb25273adc4a4dc98d", "f991ffc087de855ea879a10044807f79949bb0fe", "10af9d8f5895e9ff26fcfce779f9a1199ceba529", "b8ebda42e272d3617375118542d4675a0c0e501d", "a9fdbe102f266cc20e600fa6b060a7bc8d1134e9", "7ae8acf20f9415f99bfb95aa000d698b8499f1ee", "123c3798779e1d85bc2a7864e1a133c4c2571080", "cd687ddbd89a832f51d5510c478942800a3e6854", "d65f11b44180d9997ad5ba6e6970fe4874891f4f", "4ed40e6bb66dfa38a75d864d804d175a26b6c6f6", "aa070e425828c89f4f79b5659c03ec86b8a975b7", "84d665608c7c005d38290df392b0ba0157ba32ee", "3a27bdb9925d5b247868950a9575823b3194ac8b", "e97f4151b67e0569df7e54063d7c198c911edbdc", "8d03e982bac627dfea7a785a597d5946c6b2c4bb", "38ede8e62e82d5012b3a165e55c9bd84442967db", "031532cc5c4e64e02e796360a16f89580a0ba552", "134db6ca13f808a848321d3998e4fe4cdc52fbc2", "65bf352a3bafb9320265d8a3cc019a6f20156acb", "349c909abf937ef0a5a12c28a28e98500598834b", "6625349c4705d25844ab6eb019e5962b012e9256", "47fc921add1421ff8adb730df7aa9e7f865bfdeb", "cc2a9f4be1e465cb4ba702539f0f088ac3383834", "5e9a6357fd7de7271dac77756c3992dce260eb49", "741facf45a9fd4886b5a7affd07406098253c327", "f3df296de36b7c114451865778e211350d153727", "48cf1105eca8049e8625c5b30a69620b2381589c", "224868cc607dc38b7eca8536018580c577f9fedf", "b255474d62f082fa97f50ea1174bf339522f6c99", "3e3ba138edbcf594cd0479ac2cddd5a8e3ee6a18", "ea8cb4a79b211fb288f747bdd64b3fc36e11c0fc", "bbcbe1312063aece3585e41f63a1491eb3637ce5", "8edc48e7a110f176ca08c26c0085c4dbb4146c5b", "205f035ec90a7fa50fd04fdca390ce83c0eea958", "53c8cbc4a3a3752a74f79b74370ed8aeed97db85", "819a321975c736e006870e76446d581e195cad2e", "9ce0d64125fbaf625c466d86221505ad2aced7b1", "5b27999b3f066137de537e78113faf4bd942b7c7", "e260ce226de2c945967a7c8d8363f22af02dd2bb", "338d88d38795c154caa87460b99fb3d016257054", "807913b776bc5039cd3f195841419e55979ec7c7", "968f472477a8afbadb5d92ff1b9c7fdc89f0c009", "39f48090df19dd0122590ef839226f8b2bcbe609", "99c46753dee61203dbdcbe65d5a19d4cba6e9b7c", "81513764b73dae486a9d2df28269c7db75e9beb3", "c37b5c43b58f2810bba78fcf2251d5b631428b48", "20e3bd5b0fb6b1430927d7618f03a6234cb3bcd7", "1e2087908e6ce34032c821c7fb6629f2d0733086", "525da67fb524d46f2afa89478cd482a68be8a42b", "f188b4a5f399c0ffda05c9be34de76c56f7c74a6", "4716dab7f35535a754aa6cd29d03d659483b7bd3", "50ac5fd467d0a3718c88bbc3a439ad6062265258", "7f8d2d7eaa03132caefe0f3b126b5b369a712c9d", "5ea5a9f6fbc7209355cb98fc70b177326e0fe09b", "a4874a54a2afd74d2cbed50f2276c91c49f12ccb", "ec9976aae8042a6ebb8a823510c757a93b11737d", "335435a94f8fa9c128b9f278d929c9d0e45e2510", "69447482c6d7d0fde4001231ca84c31f866a2d5d", "0841187bb483212014584ce9fb59b763f53bfbf4", "10ca2e03ff995023a701e6d8d128455c6e8db030", "312337f1c79d49bb94333be74a541fc8dffaf552", "8449f94ce5def129be1fce4a452a6224d4179c39", "7002d6fc3e0453320da5c863a70dbb598415e7aa", "eb5b1dfe580722c0fc5ca202a1259b0bd62354c9", "18269fcaba9feba85552b039a9052cd67e6d9c8b", "2d98a1cb0d1a37c79a7ebcb727066f9ccc781703", "384112e458d887c036fb313953a217173eea5f93", "1e516f45f87a94ceca466c9a101a01720a535117", "7adfc2f854e2ea45c29d22d6e2dcccdd527f46a8", "ea7fd75c904430d6c062c770d9a740fd0aa8751c", "51356ef096ea60e2c7513247a941977798eae260", "ee4fd1a1df6a01e7dabe82090b1024e2eb6d78a1", "a84f5df7e540b8038ea1c68398e514f7a6ee6486", "47b1498f9f5eba0c0488784ee177ad29cbae7177", "68070526920b387bfb91e4753d57d8e07fac51ee", "bb2f61a057bbf176e402d171d79df2635ccda9f6", "4e0636a1b92503469b44e2807f0bb35cc0d97652", "e2f78d2f75a807b89a13115a206da4661361fa71", "894a3ab0a3ef82352b2c294dd2bde2bd3403da8c", "3168e52567d564f0871c3f9ed7757dae9d66c55a", "2480f8dccd9054372d696e1e521e057d9ac9de17", "e23bc755f7e161d524fcc33b7d927d67dd4a5e76", "59e2037f5079794cb9128c7f0900a568ced14c2a", "9b0ead0a20a2b7c4ae40568d8d1c0c2b23a6b807", "57b052cf826b24739cd7749b632f85f4b7bcf90b", "0697bd81844d54064d992d3229162fe8afcd82cb", "7e5aa453a21f56737db5e02d540f1b70ee6634ad", "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "ef458499c3856a6e9cd4738b3e97bef010786adb", "5bea1762f43987f03ddbd8d9c46757cba281a05f", "dc77287bb1fcf64358767dc5b5a8a79ed9abaa53", "923ec0da8327847910e8dd71e9d801abcbc93b08", "b4084ecadad44e75b6aa3960c654bff9e9972650", "7490a6ed3404c459f9d428a7e640f8d3a42a21a9", "f35a493afa78a671b9d2392c69642dcc3dd2cdc2", "bf776e3483419d7e0cb1dfd770be02d552e1fedf", "5f8cc55e9dd9c21d45dab929bbc04e5d44617067", "096ffc1ea5493242ba0c113178dab0c096412f81", "9a2de59473212fbf9194e88fefffeb2b1436b3c5", "b5bc03b29235a1fdfe316b88628eafd303b3ddf3", "84f904a71bee129a1cf00dc97f6cdbe1011657e6", "2d411826cd7865638b65e1b5f92043c245f009f9", "5bcc8ef74efbb959407adfda15a01dad8fcf1648", "1a8341f9e85a4ca2c8f349d050176c505f204b72", "1c33e8577ef7122ba7aabf2b1e1f103e35b3577e", "30fb5c24cc15eb8cde5e389bf368d65fb96513e4", "5fb9944b18f5a4a6d20778816290ed647f5e3853", "ee03ed3a8a9a8b6bf35dda832c34160e62893f92", "cf6775c027d687b4ac347e1392e2e61af20ce4dc", "7c13fa0c742123a6a927771ce67da270492b588c", "2f598922f81e65c1f3ffbd8c2456d2e9dcd7124a", "871f5f1114949e3ddb1bca0982086cc806ce84a8", "2aa6496a8dc3f9bcabe27c1ef87190ea5919388d", "420782499f38c1d114aabde7b8a8104c9e40a974", "4efaa9edacad850d2fa54b1ca13b1aedfe19c6fd", "649eb674fc963ce25e4e8ce53ac7ee20500fb0e3", "d6102a7ddb19a185019fd2112d2f29d9258f6dec", "0a9345ea6e488fb936e26a9ba70b0640d3730ba7", "a1e01feb2629f8a9a55b8f8c1c5d3ac6143d8b19", "1cceae92d399b2ed30aa54ab616e8c39e6ffbe11", "538faff98ddec5d9391a521c9a27aa0117af7d15", "634f698c05d640ab355e94a9a0cf9191891b3dcb", "9952d6630a2fcadf34e356de07ebd2254651c95e", "9af5ae0544990fe8da7c1a2346e0d1b328684f46", "34dece36ee166864cf1b766d3243ba36fdf3f6e7", "4671f13ac3661f430e50b169108c67e11ebfdf1d", "0a350543ef2521b144c80a831848cbf711523fc4", "12cae6e74ddb4a16d66ac410cf2e1b3bfc3618a8", "ff336983f0308bcb616301a6381b3296ae27c4ba", "0cff6fe25622c3da377d073c256203b98a2169a8", "1d80eed476270c04ef9c1499dc4cd76030aed595", "cf52545ed18be7288376063a0c9ab339d0e8ff78", "6ac29ffbd9184e5df9a14e748e6a80d7ee912fea", "a60b85109f2eb13bde4d797da4104719d5017cdb", "99df887213407f612c1f5df502b637709a29cd6b", "69abd57a49c6b430a83d9a1e09dce5a347c9c63e", "969a06bc35f3d8539238901e17fc05c66d278317", "bf91c7f62afbc838cf6af5158fa994abe4369514", "ccf5852bfb55e1fa6760f76139ab44dab89f2a17", "e61449a2a919a2e9a9b4a685f6651dac16673d5d", "ff54ff0dcea8a08bd987848387b2884e7fef9dd0", "9e3436fb5be28cfcb0995617f3867711c3013b7c", "5ed062553280d48a42b688bc63ed3f81f3507dbc", "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "c5773cd1b7650af3096a807a14a3199de9341aa7", "a5766dd5f2efe0b44879799dd5499edfb6b44839", "7acbc7edfeee7c3a19b6f204e1c290172150db5c", "2106de484c3f1e3a21f2708effc181f51ca7d709", "1cf34b6d6aa2e5e18e1e2097bde30ce456bc373f", "c140d519da4f5382b047500d9a0e83d9e0fae1a3", "3aecb2e2d4f9c3858b0a009fc07682ecd30c95ef", "3b7f6035a113b560760c5e8000540fc46f91fed5", "1178a8ed61ec6714383f2e9791c27aea6d8022ad", "8e71a8352a373697bca904e69dd728317d55917c", "34d53d2a418051c56cad9e0c90ea793af6cbb729", "1a86568fdba2b85a9f0b69d563dd22aa5a8d3562", "756275128fae4ffe8389261e498f9bb49a8381b2", "2a7ea871ba5bc69488e0c8c4c594852a085057d2", "1eafc8e7316d7257955ef09f903d318d55fac1fc", "72903a6b9894f13facf46a81bd7b659740b488e5", "a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1", "8b665946429ab0715064d6f120cdea6f426ff29b", "171f51ed4d084f0df52604d80cd8fb304c163ba1", "e26c2f7471b19bc881d0804c37f58ffafd68fcfc", "8d5ea0c79eecc9e6c857eac5d494d57960e0f587", "310dcf9edb491b63d09a9eb55a99ad6bb46da1d4", "70cb286bd9e5ca57b4b3f56b0c801a209804b552", "3bd05ce100075dbc29fc87c95d2fe9cbc1476ea0", "ab60ec2e8fc1f53cbc9c1277e758bfbcfecb4e00", "0c166b1e5ae46c157301da4965a453295ec85658", "3eb58533d6467be5bb0aff97c37254b3789b87c5", "5e03074c747c2428da51adf772bddb5510691568", "5fd4818688b009a61bc0ff9b234ea2a3e509a2aa", "d8e061960423a17748dedbcfe4b6a6918f79c262", "8a2ed61448d9e41295753f5bd0a662ac28373e6f", "7eb8a3b55bb02867b959461e3577a2d6f22fda49", "cfe73aa0d6bdc3d52b48854d1c057bad8c575331", "8e457222d6f38847489d63557ec2e0de7356e2a5", "10678172baa93d8318dd1945d09f38721a0c1ffa", "750e567370fd8c37bab657207195517405727a71", "bec0c33d330385d73a5b6a05ad642d6954a6d632", "c19845c84abc9e3afe17003fdcd545ed020d0624", "721d0c5a193fb5b5c357ca56e20d28e1ef4c9ca7", "f36c3ddd43ea7c2e803694aad89e5fd903715c81", "26973cf1552250f402c82e9a4445f03fe6757b58", "286812ade95e6f1543193918e14ba84e5f8e852e", "83f3491249f1ec8b546267f53449686754f2f7fd", "cdb1d32bc5c1a9bb0d9a5b9c9222401eab3e9ca0", "3ba2cc665165e5f9ab61c8fb81cf6eec7c82a316", "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "6ca2c5ff41e91c34696f84291a458d1312d15bf2", "4ff11512e4fde3d1a109546d9c61a963d4391add", "faeefc5da67421ecd71d400f1505cfacb990119c", "cb13e29fb8af6cfca568c6dc523da04d1db1fff5", "013305c13cfabaea82c218b841dbe71e108d2b97", "a6ce2f0795839d9c2543d64a08e043695887e0eb", "0a4f3a423a37588fde9a2db71f114b293fc09c50", "8291491723d24fd242a3a93248f6475cb084999c", "3e40991ab1daa2a4906eb85a5d6a01a958b6e674", "5aad5e7390211267f3511ffa75c69febe3b84cc7", "85ae6fa48e07857e17ac4bd48fb804785483e268", "34ccdec6c3f1edeeecae6a8f92e8bdb290ce40fd", "6a52e6fce541126ff429f3c6d573bc774f5b8d89", "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "a72f0be803c9290923643660caf3bffec4ea3611", "0cbe059c181278a373292a6af1667c54911e7925", "2960500033eb31777ed1af1fcb133dcab1b4a857", "127c7f87f289b1d32e729738475b337a6b042cf7", "2ca10da4b59b406533ad1dc7740156e01782658f", "14fdec563788af3202ce71c021dd8b300ae33051", "43fbe350681185ec9a18991dbcb19d694ce4f245", "041d3eedf5e45ce5c5229f0181c5c576ed1fafd6", "903a8db7bac7a2826cd98ae5425d839852274f7d", "9b7b07cb338846b0a0e3b2fbfe8d45184b92152c", "56e242cf22cc34467f6053fed2eea407d36fb80d", "9623e1120e789542a07f099911833a2a5f270e1f", "090b3189391f3e1917649b3a62696febbf0429e1", "95bf7e3960d88f2492fcf10298b0719b1c7da248", "6953911c6756ca70de1555df14a06f13305e1926", "a624f18087e663dbdbf176de45b863cc59bb2bb8", "a473ad49f4570c2008d6738e9e83a6a393237f57", "17f9b24a4871d29ca1a83fae12e4b96bce0fba63", "7191676f46478c0e8cf3030bae42524ce38353a7", "c105bd7f3fcdcf531fecd29206f7a1a6ade8e6c6", "f68ed499e9d41f9c3d16d843db75dc12833d988d", "514273063cebe911f0b628d012e9553129181996", "246fa412f26d5bf5b151a7c3f5287141bd08ae0b", "edd4b6d99367a69865377109f5f8bcf872f0ba45", "c2776c5ae1aa8d640ad96f06a2c82707fe70a850", "78b046f79754d61afb985f100f98b83399cb2b63", "16d2ead2c3e98aa1ee9c948855a027e1da2b8eea", "83335a287533fa24efdfad928db8fd8888ec4ef4", "15e6e1551ce9a4094c57db70985e420e57c6997a", "3a387304d18f2786ee83804bd38efecc2a5fd323", "2ec9a7729d6bddeadd1ba073dd27696aa1a20174", "de2faaee4f1b2ecf23149995d0146347a13b9257", "5db08701e6a8173ada652309c09d1262f9df7f9b", "8cfdd9047f8ad1eaf7d2b71385576f759c792173", "d5c86768c067df0732187040c21f23fe2183e597", "008a4cf80dbd44fcee94ad93595f43da626c8a60", "8fb0ae4fa49de45bbd51f97571732c1827516617", "d87cfabb760f7e955f872ac077eadf5c0abfb32c", "8de7ec0f751675d069cea98e93e54f69127ccc2a", "47165ad181b3da3a615e6e8bc8509fcfc53f49c4", "ac44314e877e10ecf4b2123553ed0bdc3fc963ef", "71253c2e93d9431f3fa6d150299121b8ba27ddaf", "5e8e1925d496c00c2e7d885fd4b0717cf82c1031", "cd4eea276db9e02abfed96e4fe6ff623c708cb5d", "dff7c9a7e66eb996f29ff9768d07a61d119aa484", "3eca8ed3164324698d0171e62dec24e8abda9e26", "9579bed02269e3f1f81c1d3b4dd396426e06c459", "e851a51b7e8bb43e49c9edfcd0b44da64b693646", "50d967ba885059fdbb6a14ed7784397d951efccc", "ed6a47f0e2e621d8420082ba1d0078189d76352f", "6aa21d78af359853ee07288cfc8d047e914ce458", "22f8148e43c50341bad686d7fccb425b0682e667", "53facd4da5f1d1f98f876211421957f5fbe8a29a", "0b0eb6363a0c5b80c544aff091d547122986131b", "301474a50a39b24917ad79bd2493f1168c4c1227", "373f0b02f61b1256d6df39979f1317d747195a25", "40e30ba448a079152ccd13f9ba670aa272df66b3", "95fe27cb6af4bb754a59a690e842a2d5792e4f4a", "57e5930c790ab68af3201e211483d88819e7563d", "daee91e5f88efcdf154dbf6f123a97ed8c5bb643", "00bc6570d7bec88593cdeafc0feafa32c81aeea9", "adee5054f386c6eb8ca83417c9b9ce4571aa2633", "2884ff0d58a66d42371b548526d685760e514043", "b3345c179be86c3fa7f3fece7d1f0db93e2cf8dc", "ce75deb5c645eeb08254e9a7962c74cab1e4c480", "c552f30ec6e8f17d2986829f85639b887095bbdb", "928d8e39ed97a6deed59b3d0eece44a9fb7b3116", "bd88ad1356a85bd70889ed1deeb27dcb2722fde1", "e004b3fca78a6730acdca0dfcb73a4fe769872de", "2de9e64be2ac5f5f923478ac7bd14f847db6a765", "2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c", "c21c557a8afc8568d55a8e65b35ac2c5c516433c", "02e1edb2f78c9b24e76e547ca8e31501d0be95f6", "a31262a25c6ff6cd1e2e4162ac13e657eb169d02", "f47e7253f0763579c6c045cd3fa5b34b0697f254", "e163118b4a5b8016754134215433eee1f2c0065a", "16f2dca5fa64ce02da0d0c8daaeb2b2cbe405fd7", "a289f5c7c1273c2402bbed8b3f9ed9b4b6e29777", "138778d75fc4e2fd490897ac064b9ac84b6b9f04", "900dc8bb7274701d4eacddb71643b6a8a51a3b75", "03e2aa8a191c7b1a579a7ca4c9ba6b6b6d6e09bd", "c784ba7120e807e244f508c71e96cd7677fe1109", "795c8a097e74618e862f77659cb212333ef79a48", "a9359ce3a7d0a434739fbb60af48a4c3122906af", "aee5047d0d1378ada2b0c48ced7dd4b908f26931", "df293bc88f5e4f4fccf7dcc0efd8dc8ee7ca3157", "95342efc83fac4cf61046c99c23e99706358fe70", "4c41b774a6bdf43d980f640880cc49b82ae19b34", "5e9d00bd30f8e6ccacd5f57728aa9413a9bff2a0", "435514bc2103deb604d762095d8faf77be544b9a", "ad5679c50e249610c687fb9a4bb859e7e07d2775", "1f80f6cc8aeb3d37a43a8e782298adfbb1ffb5c5", "73c72161969a070b3caa40d4f075ba501a1b994b", "a3b70bf7e676f92ebb6dec3e2889c9131634f8b9", "4d3a6c2cee0cf06ff6471fad3d65a5835d0552f8", "a0ddf6e9697631f771d73b721a3d871db6a04f6c", "d1c0592f4f9f0ff2e14e0591d87539e5141b7361", "7010c55055aae36edc121befce125ea04f0fc52c", "ea099ee1183145131e29009f2af0e4b13ac583f0", "832aae00e16c647716f1be38de233c9c15af9a28", "ccf044bf7ed04758b5926038e3dbc129765f66cc", "c259602c6c5ef3e3ee7397849a1a20c8561ba432", "180953265b3ad550682c8f0dc693eda87b82ec91", "070de852bc6eb275d7ca3a9cdde8f6be8795d1a3", "d9e99cdc42bafd9f57485a1cd74bafea9f9f074c", "5b207dd63dd1a3a8fd085c8b4577945bf5fb4946", "1068f6eca07c35426ca67961f00c3cac4866f155", "122c674f264c53d762af841669209e131b49b3f2", "95d7fae081259f29066e568689b007a44d6c26ab", "db84c6fd771a073023f2b42e48a68eb2d9d31e4a", "8c6f9b87c465ecbc9b3b75741a462d40e009eaf8", "5e004f0255e8e34b4f542fabd36d839d74cc38db", "501eda2d04b1db717b7834800d74dacb7df58f91", "a0172fc5e0bc49c3e12a0ae6769eeae40d22d28b", "527d2a15596cd2ee6d0a66ec47c7fd621bcef404", "524d119aa75dc9865db584cd4e0f17c957b8f56a", "fec268cf9566309d7429b879a4dc9df4baf2f56b", "1263a2be6f37c5edb54043ad9a25146e82bb4103", "9095f633a153c0e3a5503c0373c9c1dfeeefb0cc", "4e5698894946680e4d6e766346355b2dc1959819", "0041ea67f32bef4949fedcef97562ad16fe5a7f9", "69aef3ce50967a00c568849fed630c573f6cd1eb", "0d2e29f07275fe05a44b04f16cd3edd0c3f448f0", "0c0a3a00c97634fe39a4bc39bcbbb9f929b220c4", "46e11b3059c1110c318091d136f36ec67159bc9d", "b20a5427d79c660fe55282da2533071629bfc533", "33c3ef4dab7548364c7fbf5369105b8ea377e909", "352fbe52e9bcbcf8625a408dfca36b30460c8251", "1a03716411e72722f853b904a83d9c15a0d737a3", "5e99842246430850ba22ed36bd32d076ceacd686", "8c98e81895fb00a0eb91dae680b2384c9d3526f8", "5d3b6c9a0a8b71b875a565f5cd133d83817fdc38", "7ebfae505737a5e0b61173e9446c8ecf5a6dacd1", "18727c3f4ada0cec9e5914340cc672d0554d7784", "7c598d8b947b7cad18ae101ccb9b82c43726c51b", "9de6b3f7a60cea9749ae38ad9b700a7350212350", "ab89587477fcd48b374d4958778da16113965ff1", "8598e603438360884073fcf7b843ac489fad43b2", "00c4325c669c52db182390b2ab4a2b9c20f06b8d", "1c9cda71922fce078e5b87a8f19e34905ebcd2c7", "1d9306ea0f0239c88aecbcf0a48a11c964a0fcd4", "6b3c5ad668d793893dd5169c771c23bc9ffeff31", "06bba3ee6b385d2baf0c05a05ee612983a2ef628", "8f976aea4eb95019d2d50ae989bb9231b091315c", "a7afa62f053dde1c33e904b980752a4f36629775", "05dc1d27ade984a1d85e104b11aa3380fcd0d8ad", "252f912df6f301eb35923f97dda5db731fed2446", "457c94a2d3feb0a9d753ab9b92185469c397da49", "38d6fac9afc1f10f2da6421defba484f32f1db38", "3506ef7168e07840187ec978b47f3a05a753101d", "2de1703cb70bfbbd8ec2aa7830b42f2a17856e05", "1154e9a62825e6dd0a253b4cf9b98cd6452bcaf1", "85badd058bdba2f6b6dd513e9925dfac361d68d9", "b3e84ed8092640e24b7c2bb3b0410ed41f0fbf86", "7c7a1f5586ecc46d4efda1018a5807e3e08f3b65", "828f098aacc01e52802b0f1dd25008cf73205d58", "451dfcdf9553b3af0dd911d02ff39399a12ebad7", "6ed22b934e382c6f72402747d51aa50994cfd97b", "8b4061697db9d3dd6536b812d395553f4cfb534e", "65150ea455cf30ff75a73c1d25df84687d4930e4", "8bad9d970664d4a9874ea71de9cc7b4360ba04ab", "418d12dfcf5a2a5de898ac9728043448a85b9e71", "b184bc4e42fb99622ea59c24b13448dc343f6af6", "c4458cc521d8da6faeedc8c4f09505dace844a05", "384156c658b312946eebab736235f03f726c787a", "331b2520b0eda715270134ac2ee2a3cbb329aaa1", "03fddc552004800a5c5b575d3639f9a8eb5c0ebb", "a67e7ca0c7e1e3020169b5c59dc492e9f62f0022", "53c5f995e76ead002f1b0a78bfd50de3b1faf593", "b96b054df390efc6d620abb277b43c2d3af85c94", "40f5ae73e598114edab3ddaefc38fbdbf5c114b9", "479cd0af9f345bd44cd180a5e26f3e799391e31d", "28093e46fbf89c3d9c59d0a011738e3c5709164c", "c29487c5eb0cdb67d92af1bc0ecbcf825e2abec3", "a20210d875221088d6428330787606e12605c68f", "64e053ab54c44968a1e6fa146a72f59f101bc951", "2d080662a1653f523321974a57518e7cb67ecb41", "775d5676dfda56c80c87dca30bd611f8fabd9ff6", "4dade6faf6d5d6db53d5bcb2e107311da1ad48ac", "871e6c1de2e0ba86bad8975b8411ad76a6a9aef9", "a6ea57828252de759995289e409d83add6e8fcb9", "1d843d285992549b7e87933f403b23f456a73e30", "692a8ed54c4336d181c6c15046407b7ee3183e77", "6f7f9c366d16fc386940d2ee6e9938af6e158cf5", "93f176d0ac0e800c255356ff9c38e81ee677c4ee", "f0365c525bba4561d43e16f3fc79a898fa8294b2", "3379938454ad1ea9522f164d0330a4e9b1a233ab", "3412b4738b97f57d5cd321ce61bf9be453f89bf0", "17f29dba3809527c3b9533247045a488417ec21c", "0d028a924d8fce70d9fc42daecf77eb7caea67d8", "7df3b0c7cc025e97ff83aef9ee2b526e32770a20", "c81b27932069e6c7016bfcaa5e861b99ac617934", "355f262283998a6f9b38e7a41444966cdbabf036", "03a6cc09984669e3e85c779363a93ae7c7b5f124", "0765bda9fdd0bccad74d096be337ca083b3a4aef", "9b47947c293f045f7d980c9ffe55668e93483b75", "886dfe069bd0f6bbb0a885e0bf2788007bfb737c", "57e562cf99b3dfbb6baa5bbf665aa6fd97ffe8ca", "16a1984d55966840132e9845e5d450b39d41b72d", "5b8164fc9c65cd96fb529c3c8db551027009d4d1", "6d96bf377c96e1dd9b43e9f12e0ee2a66543edbe", "ffd3806a1a8305f5fa7fcc75e614922f1e1d393d", "5191781bbfe562cfee0c57675a9fbe79a85473b9", "fe4986bbb10f3417372a02fed1218acb5162ddec", "2c56eedd28be5f0d246a728c5e78f0d8c57f1da9", "c84ca95638893700d8f806e844984a5b2c50b5e3", "57412e2966a04c106657c926bcfdcb5c3842444d", "d743a37f6a2af0203cd19cf746d4d532a553c12b", "2d91ca2a115e62dadddcd0694e2d34ed36f1136a", "a5a01adb6e50ad22e650824e0def422e03e3e577", "503ca6ce6351e476c063c474394a324fe9ba6ea8", "2e1add06cc82d139348056fe43282f1ca1832e5b", "cba3f3ccb138c630a6038e8fb1a3f8715fd02326", "89ad4323ee776782170d6f840fdd8a26c6b15d9b", "79c6dc2bfbe3c4d8e21f4bfd36163abd2b3074ab", "4ace3d7830f1853038a034de3356eed1079c4552", "a3f2c15f87a9cae87b449052b05892eed3282ff3", "11386a382a556a253406102f774c4056035dc8b0", "a1a4059c05fef739b5ede0e77ad4a90acf085e38", "2a955477f778b6c27f914bd36684f019a9eb5976", "5cccd151d7c36c53bd582a71d780632a79384917", "6b5f32d129f73bd1e2aa8323bf78cec3ed12c539", "04379f40d2a26dd769c53488b7b08a5123f89347", "1b807b6abaeef68edfbdc4200e198bf4e9613198", "887377ea20d144c74ade6f73573dd5cf411f5527", "1bca1a09e2ef62b1960c23ff6653ae2d5aef5718", "63db312ec494988e1af0c1db5f9d9ca40ef89237", "069ebb57ccca31ab68983e07044e65ce1a04174f", "1eec7a6effd09be491ac983fb088e4aab02567c5", "88ab3efdec83670cd036a9048842416baf50cf34", "e9bbbdc38971a375756434406f574704819ef14d", "10723c39f9dcfcbd45d4ed7460006dba78c6b67f", "49c603c2910bbaaf877d2a0946f5f1448e90bbbb", "f96970f75b0f37787a47073bf7d02111f45abe83", "c76eee7a6656664bc37890f3754ae202255ffff3", "2299010c37e1c6101d42b1dc8379798c8ce091d9", "cf814b618fcbc9a556cdce225e74a8806867ba84", "d47ce2b93d81d9d5c617bc885aec3c7c29b97933", "ca0ac8cf1ed07d96e7951e8546980ad8a7dddfce", "5c6ccca19179fd217a74ccb954a4c4370e4203e2", "66d490c95ac100cedd2a0886a0a5510267e042f7", "f7e6656442f075902bf9886dd24693ebb4ee1ffc", "503166f937690c23dae7db65811f9b1b9b3cded2", "27a4bbd7bc90ad118f15c61bb30079d6e6bff78e", "6aaa45f48323ce50d0e4698dc98634fd66a728c2", "cc06565c14fb383d22de5478d67c81e1a553e036", "b14fd1ba72d1187a64a9cd4b024af17e8f80c14a", "95c63bddb6d6801c1d6cefa1765eec6a5797c416", "ed700fef77b92ba942ad09fd6da00398e879db5b", "03e6b8f173012cc2e1410404f9c3bb97e0881c00", "0dd72a3522b99aedea83b47c5d7b33a1df058fd0", "a219e7a1fa717d4575284ccc80e850088dbe9597", "5853c2df979b14baaee7053d4dc6e2b305c87e61", "c75ba6ef724c0c3a9c9510a70da4cc8729b59a35", "44bf7e376bf6d0a64134de99ac92df11546c055d", "fe5c36734551e837e5cc41673668050f44cf905e", "14629c6989721e452fd9a49b5c20b8e849bce82a", "bd8ca2a1a87220192589c2f9efe8dc761971ea74", "721fbc63a647239158bf817311d1c084455398e9", "b6967d6096294bbac242b6f27e1fee51da24eb11", "4cb9f0965bcb756f40848abde28f5d9903fd6db4", "0e43417efcc2bf5cb11cae87502685c5e0455bac", "3db588f1e58c1207685771d8015fa9427d731a53", "a444fd7229e2b635f6d179043541d9d90d661978", "eab8a51dfa9cf2af5dea1decdf57299b8a421d36", "19c5a8e8015a950cebe0deb94c2154e0da44ade8", "8aa6c3601924c99ca420c7c37ffcffe00db1eb78", "b4f6962068c27d10df9016090a0ca14f65f26b70", "f262f21a5bfe129e90cd36bef206dbb89e5d2656", "35b95ccd1350c5207dca8fd16d3d9906aea1d7bb", "c1fb854d9a04b842ff38bd844b50115e33113539", "8c31204573b60d92051929ad2ea98b9eb17d5210", "0a01d9b6b468f3e25867a028244ce4376b5e8d82", "ae2d194e8095fcf8512f9b1d2fb23304b59ffa3f", "10e155151d3a364b1249e765edf178f1c519c3ab", "453e311c6de1285cd5ea6d93fd78a636eac0ba82", "f4c768a8f9ae211168acafed36d371d793e768b3", "134d4eb44ea1fd0a2719dbc8ee2e41003dfa3e25", "c7ecb2ca791fe23c182a06e7700c4e41f5ffa79d", "a083e3fc71b4b073ae3bc6aaf31d1070e61c85c8", "dfeddb420dd7b37dde0322762d3b221c1cb0499b", "b264d8ac4e9f1477ebb8367598b9eafe87ed19f1", "cba31f4773e2e3ec849f7ebbe8633b5b7be5506e", "9900be092f81547ad71e4124cd850048e1969063", "28209a6ef1de7c10ec13717eba8bad7c2f4feba7", "824e7a8285cea048e9c731ba995804a99bf6aca8", "ac9227ff4262405b8eec8ebe4802b763bd6f55e1", "1996c51c33a6c0e1ed1f8dd70bfa6abd854b7869", "1834de2fdc73c52779cc2159a07d88c247d3f60b", "e24d52b2feb48a5112246da04048a846a33affb1", "bc703a84b98866aed444d8c3e72c58e5886ca44f", "e2fd91726073975f6e6eb7a88c9993da30f1621e", "e465b7d0780b27da4b351a281a2711c63b42c7c1", "699ad5c2bfe38df4c7e7af0b8d7c54a73a21b07f", "6c40a215574f95d9dd2f5ac3523f2ffc03d1a84b", "094c3e8733ba08a879522a5501b291c9e134ab75", "0acb29c97b60d7d24ccd6a23f89175cd3b9c2cf0", "62e1641bdcf3d5c4c4a23f6fd1690785c797add1", "f4d6361e20be2e472ec064936966a02baf473412", "2cad358676854505517307314728e8920fe53d77", "4db99a2268a120c7af636387241188064ea42338", "465b75fa4b84948e19d8bf2ebf4fe4459c3c87ae", "dc08ae1a0ded26d13cfb98b47a6153d7d1e071ab", "d3bc28d99301082653f73288c68bbdddda1585dc", "f9e07fbe2d2181e7cbcce673aa2c3d40b85b8a3d", "cb5d7fe8416810cfdc5b3b9d2b60f44ff9c5e78d", "90a7e37935891e2e7ede39d0c2da04d2aff54df9", "a082c77e9a6c2e2313d8255e8e4c0677d325ce3e", "3ea6cfdc047e96411d11c9bfdefe67c7ecade0ff", "0953eda20b3f3c41ad2b9ddf180e0988a1d8c175", "160b6b8950a155b66ae772c90cccf642a99b1126", "386696660b8e8a3f63ec269693c2c8801eda4b26", "abd555f397abb6f46aad81c683b279cbd6d22637", "105ee3d197af63c761730069981ae3bb1c4f90bd", "507c9672e3673ed419075848b4b85899623ea4b0", "d9df2ed64494f54c0e2529f2c05a16423a57235c", "fd89d46397d48aa38a317c4e2fa3c9a52a187998", "0568497f77d21122a6991e3d7147d5205451873a", "028b950820fe57d4031e56db974aa54bc7ee8bf4", "4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06", "36119c10f75094e0568cae8256400c94546d973b", "468aaa87ccdba65f3115bd0864f7772b6706c00e", "5fb16fc243c2bcb37149d5bdc3aefa05198ae840", "4a1fdf137e720beb6dd3c8a2623b21676b142f2d", "49fb5306f72a0618093753cebb81c82e031e9f9c", "172f303e61c0dc9556dbd080b80f365080783360", "b69d14265a221538332747fcc486d0f9338c2822", "1d93a1af770040cb8a64e96215884ee363a8f53a", "b488897ff5a357ad31c3b15ee9440de17df2200e", "319a27b8559e2301c9dbf0462bcf0ca6ad3449ad", "ae42dc9ef4a03caf69c23c117621108211977405", "db43367d687cab574e791f1442cc5a088859a744", "54983972aafc8e149259d913524581357b0f91c3", "6ede0d34104d1f5821654039f0ac8532f39dacb0", "e3e2914ecc57f00f31b2769d501bf16dd99547c9", "92cc2cecbf065c4b55a3bceb0d9e475fcd70f8c7", "6e0b1ea97421e080402a8db23358b01c04c905e5", "2717b37097b8f413275731539ad3344011b1d4aa", "08f6b52317b34b60aa65f38b83e3d72deffa0473", "ce9799830a24412f4bd9ad30a9d6e2a50215f8f8", "369c4a308ec9e56746f7cc1b164208b917e31a22", "35ebe95db7ab148e25904604d3b06a9412f6b4a4", "55761bdf5cbbff5fbede8ee9d0573d1561a9254b", "12a91c9d4a55fc93f15f4acef078c8908af3c9b9", "c32b66a9badc57e416cf15287c9c8861b264805b", "254f7ef73629c18ff9ba13af59b2d78df3fda59d", "02a4462e6c63007dda36ca5305f6b57d03f1316f", "0754d3d8fbae668880a3eb91b2bce89543ea467e", "47067114c681e93322a9152fe7ceb7a9178bb32b", "b955969e1077ca328018c9e4dcf27b87ed9f5076", "fbaceba60619d9f76f7acf6e639669cd6150049e", "6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee", "c486eeced06b1db66b7deb58496d71074b88fb86", "a3c93737a4497350768b0dda08dbc0826670dc5b", "bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7", "3d1e82b69663758a1db87fbebed6525d23090146", "365117e2e47b83ec70014058de13d167619094ad", "01efec88d36070dc3bc49f341a77476f74d373bc", "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "2c3e7392b865b228f5d56ab025cd3123554be5e1", "8b6493a65285fb72252221e7ef8ad1091bd96b32", "3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd", "2281d8282dc6315eaa5c31821310c1a349ea18b0", "7bfa04eb7ba2830a682a15206370abec49cffd2a", "0871062654a6ddd18dba940009676aaa1230f879", "104dd4963f7f0ef03fe09d505d31966666f9281d", "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "1536579229a334640735725e0b886f8d03aca1e8", "041755d1c14077ce18d8553aa40a415283edc825", "ce8c8e9fdbdd84adc096018bb0edb49b6913b946", "597bca76d9c983f0b71ff1143d80ea91bf97cb25", "110556d073a4d930877edc597a92995f0ff9d294", "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "28bf62416b5b0f3ca87332b83c3944f515505f66", "1295cbaf3b03de2eb8c79530289f5939d7819e5c", "3081b725e1764ec754bee1fe5487000b7adf7936", "c32b09f20badd9ce04309d7c5ebea88336a3345a", "4cb2d5ea093d52a9dbb5141bde20cbea576efa24", "eddd45f8b2febf3800db7642357731cb63116acc", "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "4cfd15e9d3c01028bcda22e68791a95aa54c2a7c", "25b9ef5c78dbf17c71e6fd94054dd55d66c39264", "0b2c543e0c47454c4512569175094e6cb6ae02a9", "5b610d9492a940d3e64bbf0cea8de4622e07d8b4", "efb01e07ee994fec890ad83b89c9b652349da50e", "eea248baa16162da661fbb9255e2cfcd5b9f0c05", "cc5d91b20c8769d1f040ff9a5166f76cc19d2d55", "233b52f79d37363d924041e047c6b9d9609cbb17", "2d541bf669dda499f86b4dd2ac4e263134a3cd4c", "98735e57075ed6e8ef9d98d7ca4895013492e35b", "36679b7ea9eb8418410db7a6e2f15aeaf1b8e059", "c98e5a582e9f1b11bf5244ed16c78a7cbccf36b9", "0e0fbead3da9e16b03894b63efc6816fa3ef6d0e", "18f9a6045ba01cb079c4fa49a630d71bbd27cd92", "619701bb7d73171d6311c9e14b8ac5919692d03e", "3e16de062b9cdeecfcbda0de022f1fc4e741a2e6", "80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35", "68f6b329044b01cce1660e953875ece2c3778c68", "d983ce0a7d249bb85d14a66a89225a7136cc783b", "e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9", "22aa426aeffb77339646cc03da8e94de22396efc", "19f73120fa314666c841ea88cb2b627aa67251b4", "24ff2797234e26bb2ffd4558eb4412df0625687e", "d31d4bb58f5dd67016e77352ac7600e2ba71e38f", "faf73a84c9ce13cdfc9014fa89ecde9927c8c84a", "d7ed61f57d26c192a75d088854d937d549efa37c", "528d1ad4725277b25f17c951c7aa637f58da1c9e", "f4af49a1ead3c81cc5d023878cb67c5646dd8a04", "9d27197ecc73ac0c3a664499c62975068251bf9c", "72d7c465ef199a9670b3da7a318b0227f5cc3229", "3fea412361b2d14cb3c6723968b421c1c8cb38e8", "2c761495cf3dd320e229586f80f868be12360d4e", "52a08919efb7a1d0f28eda82bacd9d495639a6b3", "59d0d7ccec2db66cad20cac5721ce54a8a058294", "cb8f0d0e529e27c67f04e748266f084c07679755", "a875c22ca30a99a013d728313420e418e398fafd", "eb7ddda1bfa709497af9d0b2010d61d659a1816f", "3f93ad8732ed2e92f09536ad744d1111cab93522", "1c5b168c29d1c8b3dc753865c741b9f3c56d0555", "76b61ccb488ad7861e9e36054f96195877f4c9f6", "3b8a3b4ed02a15b2ba329727596b704889123a39", "8899094797e82c5c185a0893896320ef77f60e64", "bf881e53510b230879aa0d3b02576043b8f881e7", "403537a81f9c295ab5770fd82abe4f7542be9200", "1695d0112d2e2c6df8bbe1d6abe18a457eba90dc", "10beef48f3a9b2c4a6c863edefe2cac8bf09b50c", "2fc6647858a1c7d6f51c4c57368e50677f30c0a9", "7897f6a19d5211bf6387f5c9e141c90a0cc84566", "947f2d465df60ec49f441f02733edbeb81dde2f2", "761de31c575bf30162b6e0d92a1800eb406e96b5", "8060ae8621a20e5cbf6e974aab12ad34c37e9651", "96d1bf51b3aa118696ce18dc45924e5ca8b9d885", "9bda68ea52bddf5365e3230761c95424ff1ddec5", "b674dae73fcb236ee951d8ae8a36be527d232678", "9ded64e83d3ba51513ea00de27c0c770a02b0cf4", "5fedae3bccf86052ed725e5925bb4ef47f9389c1", "5d1d45c89ec13f3b0a83078759bb1dfbac695102", "8e368144360042aad69703a6bffd56e1e72f2af4", "dbc359e95d999bf119353f51edcb53b2beb5b3fe", "de1505819e145b5c22a6e09002510413019f7228", "82317f5ac40e982b8ec5b2634f1214db259ca325", "8b485d7683e54d2b9c5d5ddf4ed31770bb323dbe", "0b888196dda951287dddb60bd44798aab16d6fca", "bb127015474fdc51d4cd6b4dda7176a8c778ea49", "e10ca043fae02972f19292efacddd8e0f216b70c", "030ab7710a1307cfa2159686dabd07e2b239fb10", "a3d96844dc4fc3b51f3b8361c72f156800794251", "85cace98e07e190494a5d88eba5e5b11538dc3b1", "8a12540c85c6835eb6fd36131107d82c50d2b8d0", "2dd853b617c176810e3dda008f7cacea6473f0ae", "9138045b7164876f9c2d6c5891d1f3d13a147d84", "bddf7da5a21a5d1915cc9ee784223adadbe0aec4", "76b6577f47d6782bf75aca04e361a7b7381b4a84", "28949c94c8457e570ba65c8382c993600f8404e7", "a4aa145b519a9515e1162ca017d80d460002ba5a", "442b6114ae8316c95f59acabe6de26f2b569cc02", "8e325b234e9cb67c285fc256c7e51d5e326952d1", "144ba4e9e64d4f9a5bb436c80c3c02b40e4092e0", "0489a21c77d1646ea3af48d678c3ad9645eef2a9", "9c0ff1f1e2c83f089cb6b42a91869428fe9a92b2", "fa2d3c78981ef0e19557e51d85b6dda05345c380", "c93e26b52cb22382ed2627bf32f86fa18d034cbf", "57922243faec5a60473fb9ec32d9adcd94fb6cc8", "e5918229f44f0215d73a0b9d5eb13eb56764a2e4", "f7cf4e0b1e371efca045e71996956be19aef0577", "00e19d93780ecf8f807c510a1105749d5bb1a2f3", "6f3a1216e984c78e7374b3b7ab05612544d345eb", "0199150ccad6479eac9d693a7cc0406935d877a8", "4c8dfc4720186799b2baf53c282a32ba3f312bcc", "10706113b871354248beb37fe5bb2f31925f7a68", "3921afded8bc8471d784df86f64432fb14b8ef58", "b29be8ae91eff7ccf001d48adf518bae86129be3", "2fcd5cff2b4743ea640c4af68bf4143f4a2cccb1", "d9519d66f9844fcf306cc205593a55cf01090633", "b5bfe824fc49fe78b538ac15f21c4cd6a9d44347", "3bcca85ad84806be6d38d3882f7a6aac0ad90253", "39978ba7c83333475d6825d0ff897692933895fc", "6ee2173c06c84cae6aae2912a4439ec956ecc3bb", "6220d0424bc7357e7e381d59baecdff91062ba81", "d3bbd57899d938e8c4bcafbbda10ceb59638e4db", "fd0769033b18038b9baf9e762f16973ee27be626", "b408b939c0f3be9cce0f84871a78a71d1684cd77", "8aa9d9ccbdf37fd1d9fb4f3adb778b3c2c9baa45", "ed7de328e2191463d42d745d8ac8f16024f95f25", "11da2d589485685f792a8ac79d4c2e589e5f77bd", "0ae247153afd87f98829359a8b5df0f68d788d75", "30795da8026e875faaffa3d6f2fa03c9c5d14c55", "2675a66b3f8743cf0551f284244af4f24537c19b", "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "54f688ea5de7b9156db28b2821e5f5ed0148605a", "02588064dd2b4b56d1dad214c1af3a7518832a59", "bb93c56a44a244601daad96a7bb94e41609afc4d", "19aa506d04d3f7241fc71b595d28b5f1bb99edad", "3979e8ddcf95fedf7a220b7d39a72fa120d436f8", "9bddd98289ecc7a8dc5517122d21d5c6f5a9a01a", "80acc73e29fb324a3e01113bbeddccacaf5283f1", "b4c48aa7a93f38d2eb60209120a1a8daa61c4545", "26e425781e4090abfae65b5d68eac72282dd2e31", "d6c3f9edf5459db8633f9155f55e6f735dd0ce8b", "f831f81f34a9c9dde41c5250b1a9dadf8ec8963b", "9645e8b4829c04879a642d8dd6b3cdf5cf264afb", "f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38", "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "40c6a2b1cb312f11f8225a733545fdabd436e347", "ad6dedc3f56b1ef2c083cb13c2638eddf208d49b", "cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de", "d9aca4cfe6bf49056c4bc6796414355a59cf5fb5", "d0593359627cd0744740ea50731d2b98ff6b1937", "1f0c7b93636f879bd5ef3dd915a02dcd813a053d", "402056b2d10b27c1b17dbb5eb82b95fd1cfd8fa5", "5b3dc81a490b1d9e69d7be20c4e8e1de886b5ca3", "b7c2798e136feb85847c8a9aa693d75bc3f9b08c", "372026896229c870f11bcecc1c81c80dad9c6761", "8d384e8c45a429f5c5f6628e8ba0d73c60a51a89", "6f77ff9990973a6cdad6b5b6022323bff9d03965", "146f6f6ed688c905fb6e346ad02332efd5464616", "85e283564fca1d1cf4d142647561901a26f144c6", "3e198f28343fccf502bc20191660dd090ba5356d", "bc1d609520290e0460c49b685675eb5a57fa5935", "e20daf69526c5da9cffb252d043fdc765f37a89e", "704b46c9c255cd22b4712dcc6bc417d6fefc1e18", "fb732b15fd5235893228ad3249cf04e1809034c9", "0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813", "3d22f972448a2336677ae6ff2877fae010c7dfa2", "0e23229289b1fbea14bc425718bc0a227d100b8e", "6950b44613b7a98e860d800fdbbe1693c6444729", "69c22f1f72de76dfd4f5b90621dad4969674da1e", "5820ba4c09695ce677a5aca6b0628c024303e60b", "eaf8c104ab14600ecc5e9cce739b55280eef7ad4", "dc4682cd15ccb7ebcbc8d2ba21b613e34a9af8ca", "1cfbaa9af05f0eea03ac7c28cc0e588687cd8343", "eecd9a070ed333077a066bfdcf776c51c2c74406", "b9566216ec1e5dcd02e3a222987f1934e44c773e", "8c3cf0c579a28890e21428fcad7f09175e65e43d", "478a1ed7dc1890ca9476dcc1befe7f21c9bf9149", "e559630c5710afb0d5eb8f95141e451393bbcbd9", "e6d8ebfd88ee333deccce32b09ee41d271af6dc4", "aea6dfb43df75b176ff209f5510a0f17256a4d0a", "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "e4b9c14951cea6259dd9d522586ba2c5bb1fbcce", "542289d1acfebb9d79ea7a10c8e1516924e09973", "75cea964884a6f5c35e2954e56fc787ed8f9662c", "2badc4c87a7751dd5ae1797bc4091d10d1acf442", "9b45e9a40313096abf530df3b98a1dfa1553f17b", "ad8fc03b492590a4282df52fe998d713995d0a0c", "7d035e6c6b5ef1267dff23845009284677c16a4d", "4923c6bc3ab501651763f6814a8384745f3d9a4d", "3ca194773fe583661b988fbdf33f7680764438b3", "0013fae7390cbd34aade7959b4476512d8ab9aa3", "00ca28c1c8005ae8d06c7afd0284f67c67710c43", "a88f86093e6f2d14761d4b8cbdcadfeff496c948", "f43463770d361e55fb6f6eb801a6e8530ab668cd", "30f33cffe390dfcc03d8df28593aebba6afafd59", "46d8531797d8913b05f9124def1ef81ac30423c1", "e69b1314cd65a115c98082a5863b92daa4dcf9f0", "6bfae88bea2301f2abeb6d1ed62c8b9a99b251c0", "fe8431a3b4313737183510d8f01003d48870d277", "99ef290d0eca8cfe8dc086bb1c4571e88eb876e4", "2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d", "8d0fb60adc54c168587bce2cf5b1c46ba2ac36e3", "e654320739770029ec5cb22174772c935478b237", "b80f43b42b5320578d4c1e214fe1a8b6b45352ae", "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "81cb69e401b3b51e49ec378dba4bc0c8e33448e1", "7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d", "ee5b4fc5fafa7e883d751557b5c7863503cd92d2", "18087bfafbe471f346c8b739522e64fa11e48b13", "4fa6a688f350831503d158f8f618c58d1e06bc5d", "ad8642e186c5c81d06934d4e6fc249b7cbca40e8", "189b02caa2bb9ffb303154e35f60797ec8576f84", "3b8ad1f2335fc755e5cd75ee5922b8a0d432018a", "ef12de45bd47e03451cde586697601cd7e36c3b9", "6cc46899b415ebef4a70068b2cbd8a50e955aeb6", "3d732ba534081326eb9de70f2e370a31940c2990", "5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89", "10bb4ef7a6719ea132e00f0ab5680919a4131d99", "f795b4ff67d3ecce0b988ecfc0589cc7e54f5dfa", "b9146b314812231d09587e3a9f622dda65d3cc40", "9d0c3adbee8098d47c7c0704e0841fa7daf8d161", "30f78071ac2bc965ffbf452a7b315d6dfddae30e", "9ac253caa50f7d94eead17ac12499226c0f05e87", "102e7bd7660357e1814c821c7f697f2eccececa4", "c2f1aa6395941438501653ea262df63c812e8f71", "afa073e5ec712423e300f21bcb2c3f17a69fa9d1", "af95ba2c08cf3317291dad554488dd951cd6ff80", "c4cca330ec7289fac16d0793da98f705f6513219", "02d6fb270c82c390476faffc6015b3116ddbb60c", "0dcc768631d9ede8a3679e980b37204b782781b2", "11d256be1eb3da7789c0c9672f467079917baada", "cbe6739ecdb23d61f2ff74481c6b538ef953eb10", "a4e1a95c32e9477aa1b09073a1fd3ca129aacadc", "3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411", "4f9beb035a3d196f653e8528303fdf9ded998e22", "87e1ae939f3632f26a9878fe32674e338cb18094", "7277fdf51bb3fc38f254a5546c53caa4169653c9", "32812f35efab1fc5bdbcc17d67f27bba31c720c6", "b6b9d29d25de42d78f09217c9cc457247d90fc70", "eb7e0dfc61f3f9993a39316ccaaa263059b3a108", "2198a3d3342442d6ed6608f2e2b0687f644b67d6", "16beefb2f8d0d61e536bf20766e485499906c2e0", "340e55a44793226a51ad06612f340f2c520e3575", "edafa697ba68874d608015b521c43d04e3584992", "833ada09759039b7c620b8930a50a0521d70b2c7", "6e09a291d61f0e26ce3522a1b0fce952fb811090", "46253ab8721ced8c9b94234f3a2401efde1e3f2a", "402324c77b7b4040810480d6947c7db92d491308", "64e2ea4ca45cbf1a6ef35f3448c5799354e2f603", "858a2e0ca7ba129fda1a92959abe8770eb303bbe", "14c2321851fb5ae580a19726dd2753a525d6ad76", "8176e3aea16595b3fe6afdb6c745c9eca98ece06", "f5ce3c9eb539d2f4a85880db65ba3890a0fd8c6c", "2bc70a13426c79c192c5e57f8a0041d8ecf628a8", "9634348d3bc7b86d0b644f6c14ab0c4294341905", "8de065f412a7d739dff40044212c8506b5c52bf7", "80ef252a17d343ac7b12485c117d6df4a409dee5", "bd2a3ad4f28757791c9335033f39ac31cb84b8c7", "068171535ac18a4b7b65be0748d483ce4c71a9a4", "8a1f46d56ef6dfa34412986a802b5affe2512000", "6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe", "2df1688afdb470a9d9eee95e41fc34ebd0c9036b", "ed605dc1e69dccabf47044499e7ec26e30b72b58", "2b45c35aa63180ef83e7f8e6f55405db9c688b0e", "ea743597a5f48babef1982259566d76a9bf66bf2", "2770af2c74f9b82f2167cf5773ccc94d482ac8d4", "c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2", "43eee49e372e5299608a79f8491fcf40998028df", "ff5869f420d33511c22e60bbcff072c3cde3ebc4", "15a148957469bc8b91bd7cc31aa1f0c6584a1571", "f43012db4836cf671a2a095413ba5ec6725e4a41", "ebe7eda4fd10caa326d57b93e8a1e2a13e09a403", "48320a4be9cc741fdb28ad72f359c449e41309cc", "1334d274bca9c94fed724ecfac7e36d3789aea38", "ccba451687f83c463deeefb69c1f4a781de2d638", "0219ced7a3afcd8e7584b24809bac30304f9288e", "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "663617c728b18e333acb5279e9b1095eeda9287e", "15147ca5866dc5fbcfa0d91259798599004d051d", "6d880f543e583cf1ba4333be7f3845de4dcbda64", "59f4df3087c22e0e13574bb7d20e9d41e74cb9a5", "3fb61e0d133d0971c853b8435fea99150e15cdbb", "b93cd1e6f1aee81f4f94452c0091d11ee0cb8af3", "4c33746fc5688da61059daa93978ac887f04cce8", "4f6d8d4d460517297b419242a7e9ab3f9a307a72", "c682ff7a573082c5b69880c4bf84cdd464b70ae5", "1baa9fdfb27f561be67c52ef55b0e3587f306cff", "2dda7f46bbb8684a3a497dd40aabd4d759a62386", "8b35c00edfa4edfd7a99d816e671023d2c000d55", "a0e03c5b647438299c79c71458e6b1776082a37b", "14198efb1ea9d1c621dcac44e9c5aad349c0d69f", "72976d066d38d3d378d75dcf1467b0a295acad6b", "7fda1edac608bc67e55ac3d7c9dc5a542d8f8aee", "0b938c4a993e7e2fda81426924cb91c108a7830c", "94d177db3f198a3571576e562b4d3d9e816eb3cf", "4a9831e5fec549edee454709048a51997ef60fb7", "c41e483fee61e5040eeb49859a481352f8e3f8ac", "4041cf003f797007fe53ac89fd57072f97257abd", "c91e94e981084f5d9c3c1479fa90b8b091826d1d", "23a0cfaceb35413bd6caad437e37d566fcfdcc64", "9d5a5517650d5f9a7d9818bcc1eb59ba65d316e1", "44674b020e9ce46b16ffb72952a7cacb40d01657", "f87aa7d7b746e24e3b08fd3375331068ecd13311", "8dcc95debd07ebab1721c53fa50d846fef265022", "3bb0ab7ebe1ffb83aa9775ffe2602407c9d6329d", "e7d6fc6daf70a30993b57efff9a259bd418c5c91", "01cb4071a0a43aeef63e5d568ad5afe1fb8b2411", "93adca9ce6f4a0fab9ea027c90b4df828cfa10d7", "09a4f1b7afd8d5f6854b23f0aa9e80b9a0fa6d20", "85473d7bd0b73488f22d8443583165fdbd3d221d", "f9a14264ca328cfbd817c7458eee5b18592e5d54", "86d9f836c5fc542e987601a102c2b6cdbca1d64f", "ab0715642330502d5efca948e4753651cb004d84", "86c158ef6caaf247d5d14e07c5edded0147df8b7", "c719a941d3ab00e45d1d74e7533ed59cc0740ae2", "adc55a30b17060d68b5092dfaba52243e39c68f5", "8f1fcd6c3007f48eafeddf5f517c1197b2aab9cc", "974aa04b051bd2493bf4aaa5cd410dcb8f3b264d", "3e6d2e963f9a1b417871327f648d16f2c66a4068", "cda6d9b0cc1509ec61a43e24e9b7a14b18642aca", "9a8662189388dd84ce1ec6e90d103959a4132a95", "33bcc97b605f00145098d095be2841a1fa6b9a95", "f28e2bb46e49799589787e466c3ca966a0897bf7", "bcb35a8eb4cea46755c7430618e4ecfa4647b360", "126e5a90e12aee34d33e6d301ab9533acf03c199", "9c1f5547d98f5390e2389ce40668da83a9830487", "4b59e1fbcd68d616c9e5d02a62d332b0b2c268c5", "45dd2a3cd7c27f2e9509b023d702408f5ac11c9d", "7f33a5fcc5db4625c66972f0e6f06540b64d4f1e", "02a4e2569b8033eff87099ad402f251d02213cfe", "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "237c0c0749aaab0f73ec0641bef2453714da3099", "87697847062e7eefec99a8c3aec888e3eef5e5b9", "15908912ce3943fc5ec281c1cbf062722cb114d7", "ff23167f18723faf41265cd36ee2cf1de45a3048", "6459cf454b87fded65a223a30341e5304519a6aa", "47b4c33621bc0e636d6c268ad6acb319e12abbee", "7f836c047bc86d52e3a28098b53311cb2186acaa", "5f5068645a5cebf923093542302c1fa21e387cee", "84ed65bda3de8a17526a0ad06ae3777fbbbeef20", "26d27a6de0360ed690248a9dd08e4ec0818472b0", "f85be6a31b74d6da6f490635d314306d77d0b6c7", "21d7130230162af2a4cc1b9375bfe9b37dbbd499", "bf8e413869e96afa15ef3ff884cc7739eafa8308", "516d57bbd02a6938a99b45691a3d7864c2fdc70a", "efbac99adf8628aae7f070e5b4388a295956f9d2", "d0a934ef5b4edf7ebdc2276048534e4c9acf5a76", "015d25f66514ce0a966300944201d45968a104ba", "47f8a217de3df8d70c3ac7fac73696a9104b1294", "ce9287a47f00d06ef75fe3ace9adbd7691b6e844", "1fefc1d288a87fe218ba25024c4b2b6ef345738e", "c7132da9421bfa06fbc859d6c3d6e621bd7bf472", "c8b592fcf2ed2f75799b94c428d2ccdf1e82c5f7", "ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa", "d4a7259340ece685b9dacb390eea10c6684a05b3", "c562e95b7906066be4210d00c4f6187475e6e13a", "a24a0126f76ba1423ac3548ef95aa24ac4e670dd", "4328ec9d98eff5d7eb70997f76d81b27849f3220", "e304e516fd4e1499b616f120795600eb688fa93e", "438d4c181362386590eb703c3b65934a6acbbbdc", "f660ea723b62f69b9f4c439724a6b73357e1d3c3", "bb9e418469d018be7f5ac2c4b2435ccac50088a3", "4634bf44a0c994e2bed89686225f8cef601a0224", "acf13c52c86a3b38642ba0c6cbcd1b771778965c", "fd716faea00fb6ec433a62c79aced17d51de8d23", "1687d0120e937d5efe2022cbeab19b38edba0608", "dbf777403156adda2d551a973379edd3e2bc5aaa", "1779b6a17ee68afafb6801477b165f19901689b2", "07ca470ed3be3a476b6fc1917bbbf4182846d1db", "9dde6ed569684356c46217fa53224272b668bae8", "eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42", "c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f", "1be7ecc7100bb5fdbcff7f5f6191a9b57165fa2c", "290941887c37547462285152ff82796ad71dd757", "cb3e91a4c800c60c3f734dd77a64ced7d81e570e", "4e83df2bf849eb6af24bf919ddc7bb25c7249c39", "e2c122bea06dfa067712cdb58ce474144f93af07", "bb1dc1e9e9c20d99b55f37b9e635457af86a065f", "3e08a3912ebe494242f6bcd772929cc65307129c", "47a2b1ba7e4275174a017a290f2e5de7de0acb00", "50ab5859994c76dd69f2ef6c770888408d9ae5d0", "6c0c368fca391b4456e64d2943d0bcbe6d8e1ecc", "9120d59f2ca86954b45d254cae1409cb0806d9c7", "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "857fb344977e5181bf5a99593ceba09a158d412c", "a799babbbd56a047feee85d09e57e2c240c5f50c", "d4ea0438b6c0479a7d7611130a0dc242a22f93eb", "aa74e63360c341f47a921e0043c5d58d55807fe4", "ecbaa92c289f4f5ff9a57b19a2725036a92311f5", "b3eb61c3542e0c6bafb4c1acd05cffc0970faa85", "904b322a61d9be9c0b1023946320f9245533085e", "62a5f2a142fe636632f6467176ab18bb86e6398e", "d2796a0d1ba7ed9287a9db6f4714585b8508871f", "68d96226fb71daad7d1a4ccbda267062244d9bc0", "f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f", "5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4", "23ef40af4fda9c7db8fd7596d34446303c378793", "ee53c9480132fc0d09b1192226cb2c460462fd6d", "b0760764dc573b519f76d5a79531d49af333c67a", "5fa587381a9e4308163b3a5395985f0375c3cf7d", "0abd1a332717f540f1e3297a9eedd9633ad9c3a9", "2f005b31b41face8a8b157e2ce7f97ece5b61391", "51a03fe7cbcf5c650b5dbdba0bf14be8a45cbaee", "85a65932f30b05532e259a99bd6a179af20ab267", "1ed5c62eec52380c285daf2ffa7576d96e4ac150", "6f1c84d5a137ad14e5de9a8728fced8044d05b79", "5abc8b9ac261f320cae1ce6676a3f05038b93436", "284af686292a6119129b410413831f8d2363fcc6", "60ac4be07ab4b20e1b9d0879e9553f05ec581867", "73f1a3d88defbd5481214e27da7df501d0e31fb1", "a98b63516c7d45eadf8cf4045ea114918eb3b636", "3361905a9ff903142e50d5b608f4775f1c5bac1a", "f9255703f0a89c9ca2e9256595a0526829ff4402", "02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b", "7e163ae363b62b708566f348da87750284860822", "e4d4346bd415c6fa9187c16a9b7f5c69f48f1ec4", "0f1c436aa7b1194e8660f7352315497c38ade853", "e8e43abbc8bee64a53af64ceca90bfb687f7bb9d", "c5b9a96fcb07f538be3181922e5f1a24a7936783", "fa5ab04ebf64de3bd57bd0729ce9ca3440258acc", "d5673c53b3643372dd8d35136769ecd73a6dede3", "456983805a8781d6429bed1ed66dc9f3902767af", "a759570e6ef674cd93068020c2e6bd036961f7c6", "e7b92fc6e2f1a13a3076a48a78e03badacb0465b", "c896502edcdec38466e7d66f38fb53a57c8e05db", "30a68bea6a43c239d899d7f02bb8ef9f3c5a8f47", "1daaeae28270b06962eb6fcf812a368892b5dff4", "fdce9cbe5c726201575b3c8a8c1af0752f1af53f", "97ccbe3440e5a574b37753ff49165c7ee97a6eb4", "91bb3680cee8cd37b80e07644f66f9cccf1b1aff", "2a4bf8d096ea9b6a84ebb6cecf98589a76806777", "7c4fdcda302b93c0a275420ddd6e249c565173ff", "a34de6e26cf34257d6c2fdc9a1801aea46c00b08", "a213405441c68a0ce415a4a842bdd6ac62c1667b", "38e3c26829e38c6b56f7c541e0c4445820fab0fe", "57bfbd06e94c5def35c1dde901bb4f1c839dbcdf", "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16", "729a30040132909cda0eab2c6c4ba60d6d1941b5", "9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad", "0ac43cbd4c25994ea2687743c5b666d498831687", "95f74ce5a69fdcd2abda908724d2ab4977e72100", "24aee34d1fb3cf5b1cddc2c6ef9259506be4e9c0", "01100c14d0a06376dbb0fae6fe7995f7b3aed8b6", "a1b5b0697e46eecc9657954311828cc9b4113a26", "ad9b3dc6c0e54070cec79df86458ed38566da1ff", "ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f", "1cc85b17137c4d6d75e4c418976e7dceb3d7559e", "1c0d70587340adc412c6e2afd71012d563c1e724", "2a74b00daa80e64cde5256bc014d1b011926b97b", "40c1aec7e0830bf9dd8a689d671024567311ae72", "3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f", "4d1e28368e1121872bcd4ce75bc7ba5e43bd42d0", "0e5d673111e398f6c083623e31c2f498f0bf7b5f", "2595319371a06449e3f8cef251303aecbb9e731e", "431140620ecf6cbb7c4118a65f7f2b8f48089647", "abd4152773ebb97b90163b9a6bbdf2075e825481", "8481d4160bf5a9c760b5c4de60c82f102492317b", "72f8df596eb9bb3a8c8206329083c42e70fcd9fd", "1eeca84f33079c6d7a95daf8994370b2d7a93443", "b3b85d0a697c9b0309965151dcc396eb70adf46e", "84036eb97d011ed2d7c9e4eb14fa346b5347c0ad", "2b0134725e7400f2211207fbe9bfb402b9fcacf3", "1ca06a9c5e80bc0d4011f0d6f6ccc1a5ee746844", "64a336f952ec67f85fe00092847d50dd29e4cddc", "d42142285c46207a16bd4294e437d504e419a9b7", "ccd99008d942b890cecd308a31ba61240eac9e54", "91c184e7fb0c7cce5319b8db85c1488b3861976f", "cd8398e82e0c0cc4276a1694fd333214ede337ea", "31c197a0e30f1aeb1414634968d1649e74cd8d0f", "5b8b27d1339d788eb3e0e96888c3633a7b92dc1e", "8e416d760feb5f23bc1a6dab98eb1f6e75ab8907", "da437db062e751d49528914971ecdc868b557648", "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "2ebadff3e2a573c947d49aba987e7917a9285ce5", "f6ce7e947f1cfe75abda61f018c3ca7e38fceb20", "f7186eb3d717694d4ab1730a8d0f662e90c44d6f", "35c5b84fa47e5b6cee201f831507f62482ccebcc", "256623ff025f36d343588bcd0b966c1fd26afcf8", "a3be1951ddb2fa2682385c7f22c2904f5c22a66d", "d318f3ca49f7f2159b9fc0face08eb284d5442dc", "012876a5f45da258675add1614ad7608a210141a", "c5f6ed9efc222fe2773135ffb4e5c567d98e64ea", "bb4650130c460f413e97b0328624a485bf094967", "e7928bd33d09fd00a588617736b102063ca9d070", "45e2aa7706fcedcbb2d93304a9824fe762b8b3b0", "ab6c09ee2e466ceef2492f16472aeb76cd34009a", "8f45907fba8fce5e9d958cf66cb68b406858fbb6", "f672bf42dbefb6b40921c00a05f60284934e9948", "c0343f9cc5f16166bda83815812c4c71ab3258e3", "e075c5ef9d7d4ef77c92008ffaa7ac12e60383c1", "a133374b9630bbe6eb2b7de8c3204aa57e75c582", "ccbd7e417158e7ae0f9f61c3b6d1e5a3317cce34", "aa09ade36424fd83f067f234baffde294800e705", "3fde03e7479f2fbff16f7849a2d038dbd29b1762", "a25c32ea0292af5eacd6e9e0ed53b9ff7e65433f", "247b14570940601f5c7a2da1db532ecf1c302288", "bb021f58f8822d12f5747d583a46005ade4a0b10", "2fa45a5b0421578a9a0d5124678dafc689e2bf82", "a7066c13ba21817abcf8ff955740493adf95b02c", "059582bee125512b127296364e7700ebd9f80436", "c580b0a8dc655a8831ddbb7954bb929b1f236ebc", "4ecaa651722a98c2847377f3ae1c70294b4791ce", "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "52d9ad99874f6b76184ad9abe45e824a6568617b", "c5cfeac36fd9fc35de7752cd2c63939920eb1eb3", "72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58", "1db6a35c42e86d5cd64ad2a4803fd683647fab96", "8efb48fdb8616da5133efb8659cd96c53529f76a", "71afbb37a81a44299872bee9ae888f4129962e18", "3244699e06b145ffa65d0fbddb2ce6e5da889418", "9e64582b644481a734b018304a22b536886ed024", "c85340a0d428ff0b47f1a4d92fc92157cb7664f0", "9d8747468f0fed8e335656d7fe9737e4dc21c798", "6bd1f2782d6c8c3066d4e7d7e3afb995d79fa3dd", "e096003fc0dad2a09334044ebcc01601fdc0afd6", "43c5be1f64e0135fb3d6e43a9c33caaaa58f7213", "9f545b9006970f7626b7b121c5c3c66204f1ba40", "80fc9efde5bb28550d17363d882fd5bc6d805c26", "2e8b08c8df95d2ef8c0d03820094608e9cf456ab", "8331fb280f083767fe85ba476862e519e0275233", "350af77e01e78e8e3534f42b80b5dd35a602e73c", "54e0b4f63e6ed966d76b6ef83488249fd09d3a43", "f11f609facfb650ed8e659236a04bc0a664cb665", "a8773da25b133d258132d646024bf5ffd5694302", "666e08b6921a28fed75f35dd70d322f0edc06e41", "0171bdeb1c6e333287be655c667cfba5edb89b76", "fa93e027e795e98405dc72f123aadebafc5d80d8", "757b27a3ceb2293b8284fc24a7084a0c3fc2ae21", "0d4dbd59e42e615ccf6cd4f71203be97afac48fb", "df5094b2e8cf7e3bde3943ca7a56eb879b8e34ab", "4443d51f54a9df679efc5ae65115f60f8e58a1a0", "b8298cf0056af5afa3185181ddd5f6bb03181696", "a8fd9be2f7775b123f62094eadd59d18bbbef027", "a71b99357b0952858f98867ed0cbc87738899e1a", "faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9", "7a9fe5781220cca6ca600833015f200a9c03d50e", "d5873c4f169227ab002366db3b55d1fede9f473f", "55af092ce75ade8a26d2afe97d57de2191d44b5f", "91a972eadf78f44bdc03cc5ebe27899091bc94e1", "55d1342900e0abc59495afd44cde0a0052367b42", "6583d293734d56c9dd2a34ffa5887c6c323aacf5", "4b4a174f46ce03caf1ffa4addd074aaa70539f35", "aa6f094f17d78380f927555a348ad514a505cc3b", "bfce448a3409d87ba281de53ed696b09119f2ba9", "885d589101ab3c09bda20ee9578f2c6d2f6cddfa", "1553084dcbf2235428e7dbf57b57e567c5ea4d1f", "66c6aebf10410a11623e32e23295213dfd7c557f", "267c8798a5c602dae05908b63f031dbdb81fc42b", "a0a49f50d9b76ad4ba7ce5acd14a3d4b31a520d6", "333f083671da1010cbb080c6ce607ed87c19d73d", "d7d2a1d42f0e3182d538cf8fb4d55f3e9d7ce779", "744089e18ef246785cdec2875d2b3872ef1d71b6", "ff772950f66ac6a57f4201ce1f02f0013ccdc1bb", "e56c99e8a94d3e585166fcd66f2ab6da60932f09", "135c71101af5d030f8cf470c454e7b655d699920", "1bd9db88bdab930f0dd380942b65c1449383166b", "39836fbbcd2a664edb31119e88870c38b83df352", "185e7191dc5eca046d90205527da597b6ba9ae3c", "947c973846f2c5f8f42225c1108810bcdb4a7015", "1e55e9c647832c969e449da28a391205a9704c60", "3a0f23dcb731762f9cc968d63385183b301eef89", "8bce31108f598986558e9afb1061eb988ea4f3be", "7c7af300c4780ad01e7db4d60fbf89771672585b", "fdbe50ca6741ddad66fb289960624627c6869cfc", "1855818c492d5f42dbe14814e4dd9b5733d54790", "f857cdf601379064bde3d4738f40aed30e266dbf", "8c4c723a74fe479c2b8af7d911817377dd6d85c9", "e0c3c1b9744a695cfeab11ceb23069c38844932c", "2c28c95066b1df918f956f3cc072e29fd452dcad", "fe0edc34d9bdf51c1544a3f70e83917e5d917681", "356ac139eb92753d710c1cd6bbb84403b8cd711b", "e431de776590f52a5ae2be2d71900136c91b7136", "d3a545bb8008a717ef95aa981295f38e6cee0d9d", "62a6220c8cb5b74e958870e52affd9e7542216fc", "3b1860cacfd59893bb0f7e131e982e9bbeb21e87", "bd4b5fcdf801b13d51083f3f7809366751c81c09", "3f10b9d98a276fb9e21e5742ce88bc7f48629715", "bb60196acdd4b0870cd0dd7f5a7c712aa042b1d1", "afc4cc092f990644ff7a11dc7ab60519920cbc9d", "bc6a01ea112d45bdded0bb2d34a4782e4f6f16be", "0c65245bff0004961a5173709400479addbb9ee1", "24e680c5e7f59b72984ebc344dfba0f9573fb38c", "2e84deb2fbc518c0ed0ba4158fc063060e5ac1b3", "fbace36d9161fbd062eefa0c005362bb210c7097", "bbe3d39adcb41ad2824204c0b0d299d77c2d8363", "d7443ed614548498a390aa1b83c74069aa923074", "b20dc4906fc021aaf8353df98f8828d99f951c3c", "f42099bcd6cd13146d96d1ed15353a4ebc1f4d9a", "f632790471b2bed7ba7c28b12cda9360ec586a63", "7985ac55e170273dd0ffa6bd756e588bab301d57", "05357b8c05b5bc020e871fc330a88910c3177e4d", "9c11b1552748c697bbfd33c157f7b7875686eb10", "bf2793fc09176f8bf23b3a2b3c6b32185e8a8329", "0f54eacd2d9ad031a0b55166399e2f1d0f70b4b5", "9a33c33190ce0c1bfffe2896ce162b3be05bc9e8", "052373d7fd12145c41377f9a05513596d32e409c", "26203d84466488b168745334935f7ca82294e3e4", "8b059a9851c23067afe247b59e54f3167caa9b34", "3796fe0e5dd10b01fc9fb486d09e61b28eedf915", "11a8cc3fa18ab4f7158447cc1fc8800489e82f9c", "2e78e804ddfe86f112719d4a237c882f930a9d3b", "5fe7add7bb041eb52c9983fbdd792bfad1af9992", "c2021d9652bf3ec3921bf9c13a06e1ea51588d54", "6fe1439e40429c7cd7029ecf83ca6f36fd0c8040", "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "bd37ff771acd72ebdf4024043cb62fcacdd3a82b", "a9b219bd6ad71394ad21929fb5c50387698f340d", "5a40efdd3a50ab2e3bce106f92d921713ef068b3", "79a05184a6689800fee40bbb95554ffeffafeee2", "745a913b6a3dd28f3d1c583e80497d6d627a9ca4", "a43280a668f12cffdb7b4c9917984aa55b12759b", "4d86a4c74201c0d5df9a4b259a70f2221a5cb0cb", "aa7914646c6a4bbad0727cb84ab9b05e5b381af4", "8067d5d3fc80abb010b239bbe012b50bae8e6611", "04a5b47caca62d9351219726e92c08e60f74d652", "fc09e358a130e88dead33bf6bb2cbc0e94c88291", "1d82e7736268917cc3d87a2ee0896b03e02a5ff6", "ca673e6c11000459e3ac27dc4ab5f29177d04fea", "e4a5ff03ac258f1bcc9c214c30497610b3d5faa2", "58d16e23e1192be4acaf6a29c1f5995817146554", "d7cb7ca97a665f23165b3c5420e848563cdf1f15", "38b2e523828a1f23ad5ad4306a0f9fedca167c90", "1b7a7d291235e4b6e5f97722124070feb26f3cc1", "20a91b0e7c2598d327169517cdeaafc433caa700", "38262d92b09564aba747beb7150b92c92998170c", "faf40ce28857aedf183e193486f5b4b0a8c478a2", "6864b089c8586b0e3f6bd6736cabea96b1c4a28a", "b3c21608a4f78ad3d436bfe005d5c82c941273c5", "210de355b1e20a57c98608b98fd2bb8a62fb40ce", "9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6", "7c3c4c64cd5c0d962f8f0c875dd86006cafe30b8", "e58e8163ab8d74aceea898d0955e71936ff336ef", "80d6594a2649893bf67f67e84c1cda802f2f296b", "ce54dd2b0c6c75208ac77420233419066dd0117f", "2ad868dbac32c0d6dc100b2dd02e52d79e2e035e", "afef6c3856cbc5be8328be5025e900b541ceb883", "c67844afb694bae09deb472fc1f97051d43e63d8", "e819a577c57c83a133a0a0e81180d14dc13b82e9", "dcad0ff8ca4c60d69feeb1f642019798b52ca981", "1dcf08c37fe2e8e78d3f1857547a965a0ac29526", "c1a63923ab7dff0fb8ee264866e10b374bbc939b", "55130f5103231a5b87de67ced5e42c9ea6c0208c", "135b95d67996d88e6208b6061a50262035bf3349", "b89fc897a5c538b2de462fb68bab4e588eab68f9", "28e9cb6fd45dd5d6c0fc86a99c9bd4186a9b760f", "3e75e6d3f55e6db9ef8b140dfb68bfe9773e8f40", "f1cc060b6adcca3f8130e8670230899160d26848", "b8345f687588867bc800a0c149d59db4b873160d", "fc836ff649af617c986f273ac3374261ec811124", "cf103f2fe5595a55f918ecbd9119800f4747fc8e", "87f1b49dee91ff0065ab4ed1f0ddb74fd0af6b5c", "fed3ed2d361411d324c664daa127be5edc6a1c8b", "52969cdd2c5eaccb534fe1296a61517b7ec42a54", "47abff9dcb7cd8628bf3bda89069896ee2f356fb", "d5b37090422967018477439c25f672eed2f5110a", "2ede43350eef0f579d5abcd26dfe24afcc3ad05c", "2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad", "f8d434471c2850c5f1d0757d42142b655fb46ddb", "72a672cd20a3b7b2a123772ac0f9a27cfe96effe", "2042f1cacea262ec924f74994e49d5e87d9d0445", "e8767c07279240ec65b01c5c835e7b125d7baf3e", "24b476b0851d6d5d276814f3034b8a1ce3ac6905", "39634443c52f43c815735926a7113402c9b737d5", "7aed6480ec8882075c7f8fab20b7d257acd65ae1", "d793dbfd0918db614ab0655815ce7f9f118a6046", "75a59bc6938fb2071ed01a5fe8e88781e43a5c3b", "6b35bc911a868ef3f66c0ae44a7ebebdaa61ccd2", "cad8aa5fc13325a83649dd78ebaef27159c0d5bc", "b212f642007d6ba21dcd833c673b11399e7abd11", "84881da6fd1da4fe24d8b39f960f7a2fb71a4197", "00972c31f6e679efbcff85f8d2059e9732b637bc", "10aff52a74c75742e6b7379e581a6760f80ae8f9", "c06ca26b33ab2e9ce118ca02018be5834e8164a6", "98d4dc2e5b47a26a367eb074f5f3dc6e86befd98", "1665835aa8146a71dcb83e12dede78e3f3f06e7e", "06e5d9ad3363b8834229bf7e055a94092994e097", "4bde15a51413fafa04193e72c15e132e7716d8a6", "b0c66e95b5eb36471bcdcdaad7d9368556110109", "778952cc94d5baa5132ffbe2cf342f80032f5f73", "61fe4426929c3b066b93a582667e3f0cc3b41959", "bafbab2e61fff00c72d8588bcea71c93bc107051", "f34da922171c839debd53af5013d0e5a33ff8681", "d3fd06f74a84e48f8403e6b8ff3ae33292f8883a", "8c71e28a4ffb283a9cf3c5549e2fc64e9b0ecd5c", "232384b7a252003af706ece11f5db4461cb46e44", "3a7f9b4badc7407273325650763e887ad7b5cc9e", "1e0c050ae39a1279ffbac98e42253bb0672c5d36", "f6136ee2e56e5f3abc42049425794073aca306a8", "120b22e7a47923e42a123b9b68a93ccac5aaea6d", "f68255269d509ff617c2532bd2da71edf9576efc", "c7b8783c5db016ea819749ef611e5d70571972c5", "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "0db1cd7a4aed9d17256b02946660a2ea902d6635", "303828619630ca295f772be0a7b9fe8007dfaea3", "5b01d4338734aefb16ee82c4c59763d3abc008e6", "7d85c3a1bae00efde989180f90fcc3b42c4013e1", "600f164c81dbaa0327e7bd659fd9eb7f511f9e9a", "b624d6eaa1d21e2a34e1b9bc34cfe2159ed39449", "dbb1871efda531c5340a49e147173c374d069ad1", "c222f8079c246ead285894c47bdbb2dfc7741044", "9c3a25f7f8ac74cc3e5335bc06ce85f16edc13ae", "ba1c3dd512fd1fbd7325d63aad435ff07196755e", "63a6c256ec2cf2e0e0c9a43a085f5bc94af84265", "65ee4de888e5b934429dcb126ee0ae544156c9bd", "5e48958c1c9ab9ccb5c9e1a62b81532700d38d83", "b26d23501f8e9f89ce822057a6c645bc9a634b2c", "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "a7127869e36c05e8bd0b7a99e645cf22d6651155", "46b960d3d871b2ee19d1b8e8838e7036c2ee56ed", "06c956d4aac65752672ce4bd5a379f10a7fd6148", "392c8e575f8520bb880959d494be0911d091b525", "86afb1e38a96f2ac00e792ef353a971fd13c8474", "52e181018aa26df71a02ffffaa1d061fc43cf09d", "f92ade569cbe54344ffd3bb25efd366dcd8ad659", "f467eb5e7f9d49ab318401f961109882c00f2720", "9ace71283834d4dd72509db6f1b859536f801d1c", "a146c83b0fddbc5edb5850e1833521c356f1fc0c", "4be3d083e05fed1adc1af3dc4a119b74590b0eaa", "689d6bc6e99bbfedfabc0654724139348dbae37c", "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "636b8ffc09b1b23ff714ac8350bb35635e49fa3c", "19f076998ba757602c8fec04ce6a4ca674de0e25", "95abb8fe71b1208c979ddc62e4f3b333735b3a9c", "55804f85613b8584d5002a5b0ddfe86b0d0e3325", "f4210309f29d4bbfea9642ecadfb6cf9581ccec7", "44834929e56f2a8f16844fde519039d647006216", "c7de0c85432ad17a284b5b97c4f36c23f506d9d1", "7a595800b490ff437ab06fe7612a678d5fe2b57d", "67b79c2336b9a2efbfc805b9a6912a0959e392a9", "3888d7a40f3cea5e4a851c8ca97a2d7810a62867", "1e5ca4183929929a4e6f09b1e1d54823b8217b8e", "d4fb26f5528b9a1f04ea773cc2b920e01fc0edd4", "28e0ed749ebe7eb778cb13853c1456cb6817a166", "84ec0983adb8821f0655f83b8ce47f36896ca9ee", "60496b400e70acfbbf5f2f35b4a49de2a90701b5", "5f7c4c20ae2731bfb650a96b69fd065bf0bb950e", "bd1fb02f120c335a107f9bf4cb598fc27d5811f7", "6f26ab7edd971148723d9b4dc8ddf71b36be9bf7", "b5d7c5aba7b1ededdf61700ca9d8591c65e84e88", "571f493c0ade12bbe960cfefc04b0e4607d8d4b2", "3ece52e9d54df421ea11a59be022e4ac3967b571", "38861d0d3a0292c1f54153b303b0d791cbba1d50", "dbdb348e58a98bc170d8c52590ea593f11ddf805", "3c63fa505a44902f13698ec10d7f259b1d0878ee", "b5402c03a02b059b76be829330d38db8e921e4b5", "61542874efb0b4c125389793d8131f9f99995671", "0699475af70765d0810881d3536b44a3c1d745a2", "96ccd94151a348c9829ab1d943cb13e9e933952f", "718824256b4461d62d192ab9399cfc477d3660b4", "2d146cc0908c931d87f6e6e5d08b117c30a69b8d", "78f08cc9f845dc112f892a67e279a8366663e26d", "2c8f24f859bbbc4193d4d83645ef467bcf25adc2", "a5b15979d5815fd8c73f76ac7f46b292e5abb51e", "0b7d1386df0cf957690f0fe330160723633d2305", "40a74eea514b389b480d6fe8b359cb6ad31b644a", "e200c3f2849d56e08056484f3b6183aa43c0f13a", "b61535c6aaa6d13c987dbbda564a68daade7fd5a", "113abcb319c4805c7678371522ee875a461829c5", "23c66ab737367a96f1422ce5c4ff8421709ef70d", "5da139fc43216c86d779938d1c219b950dd82a4c", "0f2461a265be997c962fa562ae48378fb964b7b4", "d790093cb85fc556c0089610026e0ec3466ab845", "33d6aa6c41ce3000161d9b5eea910a5b78e14330", "68f69e6c6c66cfde3d02237a6918c9d1ee678e1b", "33c2131cc85c0f0fef0f15ac18f28312347d9ba4", "6225e9c2a9ee47b4d3d58313a839f6e170b48525", "c7d7cf88d2e9f3194aec2121eb19dbfed170dba8", "aeef1fcaeb3e5f3eac93ee275426a7f5eb586e0b", "7a0b78879a13bd42c63cd947f583129137b16830", "10cb7f4f86c6437b496a1c98955ba413c7540cd4", "f57da17ae46f31ad6322d2dbb59e16f23c2efc9a", "bb0071e21e1f00568ea80dd22c5bcef06bdebe2c", "5dd472415b64c3f135db816e8242e3c7879a4163", "71559cae0bc89398e75a2f24674d61cb51909390", "8ac4576ee9fa02e3692fba9f4c093e835d7a0354", "2e2017a7c315ed7a0628db7ca28bfa1220cef675", "411eb3c02c676b80aabb9c1455cb581320834e38", "4d6d6369664a49f6992f65af4148cefef95055bc", "4c2f3c6384888ee81453b01bb81f35871f618c3f", "48bf7357723abf7770400d68f914d6a7ca5a1a5f", "f8a0619d7edbabf0f55e1117df53f9d34b360c4c", "dd888bacb7e3511caa18c20d5e05a8c4e9bb891a", "8263834bbe6e986a703370810f9b963e2d25a7f7", "5c5dbca68946434afb201f0df90011104c85e4c4", "ec946da86686310da231e2bc1919651c8777e394", "ee4bd9419405e051b709d90b63d9d264bd2fd796", "858d81fe346f179e1719ddb4ae5a0fc8ec1c2c67", "9a45abde5e2ad08dcb6c267fba30a02fcd2e516e", "30801beeb4436ce1f15e641b74a3daae836b0a0d", "35f2541ef1b5dc2df8283143b1b98c6309ed47dd", "baabaaf0a3d06b9b5ac378bae4f69dcd69f78643", "166d069ea056fbb42b10ca660956fee881e6c875", "80e6c8a17b178786d0db50dc9c68ad68df7f1fe0", "b95023870b21653a3777c640aeb32c342a3d906e", "693905c29feb7f9be3517308c8a9c2dc68aa8682", "1303a83494da62032feee866225b731f6317f605", "27fda2c61f3fe1f74e18bd11555df7751d178bca", "e58cc174962bba8a27d2acab99cfee30ee4fbce5", "2868b2b13512261d07f33ff05dbe0c10eacfe0bb", "887270a39b2b3a0ef9c098acd5cd20cc4ad9c99d", "635e5b6219a655b73f47ae74751ae43577d22da6", "047d3cb2a6a9628b28cac077b97d95b04ca9044c", "ecd53b84e0d861b212f08a0ce9097f68b2fa81fa", "a4b1e2ff256e32549716dbe47284bd26e5ba19e9", "1fd8c71a8859da611a8fde1cbb2bba1c7cf00b4c", "0bc695e580d41ad163d5ec601bdcf384a0bf91cd", "3beb94f61b5909fca8917b0475983ea2c66f1df2", "e7a922049a9bf54a0b13cd1d475a58e36c7c9b3e", "ce9a9f178018fc266fbf554bbde63155a48eaedb", "29936a4dcc91adf9708b938f0d3fc0f38409eaff", "92aa964d5f8b4a99a17e40095c4e3480723dd74a", "6890af11d4c0a3189e974ffe7cf03088cf532ab7", "2475d216fd52994ac69ef922f4daf73e47f9535d", "5e59193a0fc22a0c37301fb05b198dd96df94266", "bf4097f79bdc519a6d7b060f4ecb24bfd3d2401a", "61d20ada590e7627351d19565c93c6bed012b5ec", "07ad6bb9b21c065cd92ab2f24a22c1d4a8f205a7", "a30efa3271161dc7409530fe0ea76bad62a6f191", "6844a700aee36bd809d1188f6f9e81707c513f19", "451bf4124ec8a55b9112cf9cc167d304fa004924", "38e083047f1a8273a4a166aa4c39ea85b7b6cec2", "a84d6c761fbbc66a3d6e0a5ab8a1dcfc944f6753", "7238ad190988f86ad1ca5bbb8e5d0021802276c8", "7ebe7e295a5943df23dcadcba9aa3436b0f7286e", "d1aba6644358ab647436b8a830d925baea75a437", "49be1b36f1a9b948e029d81fdca23989c3e4b268", "845c03910c7cfd02de7df9622a9973e8b085c0d8", "6cabae60cb9081346a409018a3f99f197b192e4b", "2daa7d027772a64c94369fac39cc184b0b62d747", "286ea509dad9f46fe04db96d09a503f5cd94a6a6", "dba3ec4420a0bcca3264f75f4c975cabdbb1af74", "73f3e3d9b6b6624ad18da2a1ab1d87924f055fd3", "d6143ddbee74c10996d291c666fa17bd87f9d4e2", "4640dfc0bfe7923c08d0c762a9c33b52b9029409", "008f01a0b815001ddbe00be84319a83478bf56aa", "dd9716a7d00fc6656537bb035e35acdeb21fa497", "09669da2fe4764196eb0e2eff240291d54607882", "c8673edad31a9f991f6c446c057e03e130611a7b", "08c2fdbe89fda66ec26453c4ea3f190e3e3d794f", "1548cea1fa9be7a23d4d1e38086336913d501e44", "46227a10f39f4d2fad0fc933b73bf75a7fd94d1a", "b40f176684ada07faac259aa3a8d46121543dc75", "cf11ac17de2d2650ed79196e7bde84857fb63d02", "531ed96d7eb85397123e9ab96e0866a986a96ff5", "639b8da4c981de46c5975d8c8f74e82567e7351c", "7e1d88c39ca80f7a6d741213fcc87a6014d670e9", "9507d84995b374c35af5abd5f8de08d1d80a3f19", "b657702aed7aff8f1a86fa32d30a07197f8348c5", "2279cae83716e2a00181593a7b10966020dd11d1", "a8b674f17d8d8c7d5e4ff701c3525db2ffa1803d", "204c74d691ddf4a1c7279546a167feb2ee098a27", "6dd007b6e518a3aa96111028c4664f2647e5e81a", "175feee910c542f9af9a7e8ca75610ba6d133b24", "c528e6285ed170c9a838446c062c8dfbe31c546e", "b0d61c3e9851bb83cda8bc079e92d73a43e479bc", "1550ad45b067cea594f9ed8a3369632dc05876e9", "cbb141925e919aef18f9168b79b4c4aeb871ccff", "74e1efe5e3564c4c6a9aebcb18103e941e31e335", "9a486208ad06d09374ec3fba6856e384c7481e2f", "1dd3a58ab363cb396bf36223fadc8d2341bfdb83", "18aae0f20fdc6aab093c72c81005247d2cbc8512", "0493b82694d8754582bf54802c4dbf64586ab9c4", "c5c0cda46a77a7ea8c1f6d4d762b189ef424ffa4", "ae85ff7fb5a7e7a232793c743ad11baf849a61bb", "5d7de2eb2ee99798bfb2e50ed5169e3b8a35469a", "9eaa5d3cee5905a67299fa4f9f5d5cfd85368e1d", "22e4e64c1172c90ba23f634d850931ee5f9a972f", "4f5ceebe7d166b2b96ef080e179e8f58f7787e5d", "1a790c7669943af5868e49d15cf282cbbd506f02", "9f8bc786243caae73c650ca2a6911921fd0ae8c0", "e9bb5cf8eca585fb1b5b7e3ade05937cbb3ee040", "376b73334bd9aebed1fbb69c4ed3848ec0826b6c", "611c8dcb8cc4c328f0b3be7961adb47689b371c1", "ca11dc3a8064583aaf79061866bbcf04caece162", "f95d53ff893305741d60e234772003ec8579828b", "7357f37a193992f06eba68ee71faef8c093e8aba", "79e43278ccd7b71eebf16a0ba0627efd023a0b8e", "96d98463ba845651907b0b03f613b91c97d3465a", "0f504de06fa6ed1e57fedad6219a0516808ac4b7", "97304c55262bbd9354aa78d2f52eb73d0a13c9ff", "14e38bafe584fa0f3cf5899027c61247ff14204c", "1505e0aea7f82488dad1448e79b22c3b0ebc65cf", "034f7fcf5a393ac3307ac3609c2b971df6efaff6", "a24f84b156bbb1edeb1d0761f5940de318b7ed9d", "c14781a995933e2b89d40a95ca1247845ddfe3ab", "e471973e006ebc0fc801cd354d314e16a872c02e", "ac99cce29398a6885598925a03196ab9b298ffd5", "f9378db092580854602e37d2285d0be10671eb3b", "30923ae494447f60b9e7edbfcfa56c6f0be358dc", "1b2183c2b9608b7f815551c9ba602f22205126b1", "64aeab4a2678efa0a60a4d57bf81e3ab640cd476", "71869b405b39c812d783cfddc56c4e20bccc6a28", "3bb9cb67390f134ced24f64e997ac825e0a16c34", "c0ca42fa8788aa8cb6cd7d76337560615f9e8358", "67d7022462c98e6c5de9f2254b46f0b8d3b92089", "4497c58a1c7dda2027b3de6385ca628c62d965cb", "c42b28d722dcf2b276fe41da1a811e6bf9e68010", "b85a2d00bd69572757acff140bd32c24085e6c94", "d37a88bb3e3840464bbc177569b76cf3aa1ec081", "5b6ecbf5f1eecfe1a9074d31fe2fb030d75d9a79", "4d178cc41201681fe9b3e5484fb88ef6dc674ddd", "789cff184f607384b4a45f361143e5c348ef97e5", "aec84e5aec1b6d83baeb4d447cde399864e25467", "c4cdfef8b24437718511ca7be223b158b5416d0a", "037c0f087050284f828f71a8c81a4972134baf10", "ec00ecb64fa206cea8b2e716955a738a96424084", "22c01d758a4941c01239fa8facdb3407559132ed", "7638cb16631fbcdf621aaf392fec5108e6fa9f47", "f13530aebae0a1a03a5dbe7f5375506e4f92d0c3", "bd2bc845420c3f7d23e28b12bdd50a14fb4befa1", "588222a89edaa3bfda4fd2f9012d09adf0bc14f9", "44f4b1b90f8d5515f2486e07e4cb4b9589c27518", "4bfdbe2ffc6311c8a297355422d914cb666b358a", "70c012367fd77d6b6dbd97620724fcdf72bb15ea", "2fb1ecd1451dc0c016cfe4cc43cb9620a766f1b2", "7a540e0e2049a8f0118be2eab9a2ec5f57e022c9", "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "06a5e1b1161a84e082f9b4be6327c5b16579b04b", "d670583c4065132282dbcb4387ee6a83e85f8af1", "119ccee35247b83565d385150baf1181fa5c3e74", "dc22d96593e552700f98dd4bf76ee838f9f11145", "7da818df4207bdfd5ebfc609e48da360b4b678d1", "2067ab35379381f05acaa7406a30d0ee02c0b8cc", "c5420ef59d7508d82e53671b0d623027eb58e6ed", "90282cd8e122e102124b765ecbb22025a238f249", "6a8a30d0039a266a6ae62978359bef3e0256e205", "f19527b2ceabf50831e78ac04161107c936efb2b", "38b18585e4bdb78347d44caa561e69a0045ade8d", "ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2", "6f53466b17a2f9da4dbd1d870e822a1f8e837044", "21e82350472bf6a12af0f761b8dea91cb16bf42f", "2785c5769489825671a6138fdf0537fcd444038a", "abdd17e411a7bfe043f280abd4e560a04ab6e992", "30998485c920f62c307c29c4832b70bbce748eaf", "14860877a790d99296a990281b22e6b6a430b64f", "751e11880b54536a89bfcc4fd904b0989345a601", "811dff89b6d4657e5a0b8534e208baefd2204cee", "5017d635ba8dd630fc0375bfa71cf2a3397fae8d", "f6b0f62871526f8c4680cc54aa6add755f1477b4", "8b26744e11e5f226f187bf903b88933c5b0fcdc0", "96a3dc5169c095c154fc873d6655903618336448", "2088d93e7f4fa27b8498428d2ed64f144ab8cf3e", "9728c3e32f57b54dea94fa9737c8f300de5cc468", "c866a2afc871910e3282fd9498dce4ab20f6a332", "35071331c379a9c830c96117c4f69e4bc0dc0bd4", "9cc3172efb42d2f9fa1b9ae7b7eef9cc349cdef9", "93f9607034c9b7b7693c60e9d2631adc15a2a524", "696ca58d93f6404fea0fc75c62d1d7b378f47628", "d02bf4082850a667bf0b7b6205df1cf9c1899233", "06096a9927d45ff82eed34e6b3d6c8fbdc397756", "a247c12bc54f7792e381c6e71d98348f8059ca15", "7d7f60e41dd9cb84ac5754d59e5a8b418fc7a685", "cceab479d37060b0952439d9bd6fbbba5de1d550", "6709e3b3b860ddda5f79b30a0bb6080c6b747816", "f95f5e43f34e1bfb425b6491fc09558c44d2973d", "34fd4689d406d28100709b3be71958721d6ef11a", "04d9913c3988b24522741ad9917108bf9c56ee74", "d6ad7334d6e2575d61f86f91b8edac8053af8c35", "001dc49f7f3348841b4086f966bfe4e9dfadf03e", "c29ca739fa740b3155c755655d590582305ef9a8", "67bee729d046662c6ebd9d3d695823c9d820343a", "3a35154f765dcba4e3789a38346bf54bce69e336", "e282bf5a679ca4e8b7d9a2ed56d3b40dc440ab53", "657ae9ecb59cb2a27e57784577a9efb60de81126", "ef3b777cbe362a5e97c5ef27eb3289ebfdb70b53", "115724ce1ce9422dad095b301c7d096498ad50d3", "a8bed0a96d9ad3e5c7ecbaaf2a8967e034e72cb3", "5dc7c33475b545271d1de726fd88bb68dfb7e11b", "96c866f07ff999ee11459519aa361fa4fdfc2139", "ac207f5e368e285b0dd54387e3a898c550249b20", "03d89c8eac079df1ff9acbded0336352cdb04624", "bf05e710dae791f82cc639a09dbe5ec66fed2008", "de8303e9206096dd9f4ba9d876057345ff1f164a", "4078c37c39dc5c7c65a5494651ba6dd443cf9269", "0fa956029110bd82b34208cd18a77ca34d2c5eed", "0d0a348510cb2fbefbb3225ee18fafc1479eaeef", "7729b0d1d3e26ce0eec1f019f3a98d6c7d926e10", "7523ead2a91191f0ecfb88fba5c0f2deeddaa256", "31ea3186aa7072a9e25218efe229f5ee3cca3316", "f1368b0001e454381eafc35324740c928cb2ad1e", "81f30bc57b84a6e5b71983b50bdea32f32bee285", "9d3472849dc2cadf194ae29adbf46bdda861d8b7", "311fcda76dc7b7cf50b17c705a2aaaaab5ed6a04", "d1b0d2ec2f01c3aab06119192cf9ba23146cc662", "bf6913250ed359fdf130d6465b90b2a0b6fae04e", "ff172624dd0a3bd31ca925b73cd7295d596173e2", "428818a9edfb547431be6d7ec165c6af576c83d5", "7fac20f3908c69bd336ea252e28c79f5abaa6dbe", "18cc17c06e34baaa3e196db07e20facdbb17026d", "37eaf94fa6619ee857019937677cb055a2a51bf3", "bb79bb04e569f9319fbc9d8e1f275bbb2cf8d32e", "24d967ac44319cd053544c1b77e2e294b90efe81", "89f9fcc6b6bbc3c8c13f37d602d42a5c7196bcdd", "510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9", "caf912b716905ccbf46d6d00d6a0b622834a7cd9", "74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0", "778ce81457383bd5e3fdb11b145ded202ebb4970", "f5350ef1d45574e33f5b0f1c013a5bb00e1b1c55", "bc9f3c466c6f6b386f4ef1195853d498cf3c182e", "fb3bce3a6221eb65451584efa898ecbe211bdab6", "a6eb6ad9142130406fb4ffd4d60e8348c2442c29", "3cb8128b41b419a1fdc7a95bf8e65a37aff79676", "a19de85fa1533a1a1929b98b5fc3b1fb618dc668", "a8d41c63462da7dbddf4094eddaa0bb6d72d0fdc", "36f1110aed28165483f2dc7250fd187412467f61", "72f9116a04e584081635500e9f0789fa26e4d15f", "09beb1aadfcfee89ffa8b97cfa983b1c497e3dba", "627107c02c2df1366965f11678dd3c4fb14ac9b3", "397f343180dc4c9f40c1c706217956126a09d157", "ec21434615f72267d26d8e2d8cb7671561d26fc6", "29ca8ddf79d4cd1dc20cc8160a6d3326933e943f", "2ba64762acdd21046999a2a31e031d339df5e8cf", "6d0b4f5b3391463376c013a6c00d76daf38da578", "49512d11c468dc2fe3fe832d8c4dc8e0a01b0a4b", "5d2d797ee4053dada784639d7462abbfb2220031", "d5813a4a0cca115b05e03d8d8c1ac8bf07176e96", "697c0c583cb62bdc847106f9ec79384ce66d8679", "b10427999fbde2d90e3541c477e2f6ba4c8f08cc", "844bfcee3bc559960ae7a2b1fd68fcf7a926dc5a", "3ac78d0fd4f0c01650277bb25eab6957d4eeb655", "243b82ad6f062c77cb1ad8e5fc56f5fa6f34fc15", "43e3cd896d4dada4114a8961b98ae9f6d6ff9401", "768cb0e32de3f1b5aebe04448aaec4c25586680c", "2ceaa8d6ee74105a6b5561661db299c885f9135b", "aadc142d4e216432899326c7162540955f8b5590", "3f04caa9d17e6b26e4446578c020bf3b35df9de3", "127b17fdd8860605680cfd053398fa95d12ccc03", "a453863082a7fb42c9b402023294390eb4167fbe", "f17d6db4844f26a023f92b8771a1c33cea91b9e4", "6128190a8c18cde6b94e0fae934d6fcc406ea0bb", "692bc33f7466278900dd73f7f40c563f72cb6754", "091433bc8791bb66797b519811834a8a53af622d", "579b2962ac567a39742601cafe3fc43cf7a7109c", "f19c24761fe51e6711ce444c2671a551dc6aafcc", "ad5dc94b28bee087a34f52114c52bd09d2acd8cb", "da8f9211ea60755bb40811bb92de76be389566c6", "117aae1dc5b3aee679a690f7dab84e9a23add930", "7a736b7347fc5ea93c196ddfe0630ecddc17d324", "d2cda0dbb8b2e83ce3e70d818f78d2add803c661", "a34fb5c4b8b58ca19c376b1312e4d9955fe1d857", "082d339e29b1b1a9a800a1d72b401f69b6a157c5", "05ce73c39368aca1d10ab48dbe0dee80ee084bdb", "20dbdf02497aa84510970d0f5e8b599073bca1bc", "4715303bdb871e57cbb597b7e936a6ef4aa2f71a", "532837c431617d37c03361ba5a7d5fdb082c55f4", "75064b7675553c22112b76b5687e0aed4089b0ea", "14401d4aae737a3ed118eca071f27f11dac7eda6", "3533a7714b19396bba8297e0ca22f85ac68ca18a", "88c307c51594c6d802080a0780d0d654e2e2891f", "00fe3d95d0fd5f1433d81405bee772c4fe9af9c6", "159d16cdc48135632c2d5790e5baaf8d0631f510", "29b737cdb317e47e7cc219b438ea38e8fdceb45c", "39a20428734b1b38b8e93c1c23283f4c85ff27f4", "ddeececa11517bea0d21804e3f724612dac1a5c5", "904949e9bf204c275ce366237ec1d3ebcf864a1a", "5da0224590d91defe8c75db0ab5e12d50b6ab6f3", "5d8eb0ccd00d66b649c6a4c06edb0e34093a2357", "b9d73e86a98e93d558366fc3dd002393677808a3", "e6020915b9530fa585453f60a8934aed30558be4", "f0243850576e364368c3f743012e78165d8bf249", "dadb7ddfde3478238d23a8bacf5eddecc59e84c9", "7ab02556d18d116228a964e38b7f454cf9f2b189", "209324c152fa8fab9f3553ccb62b693b5b10fb4d", "c2cf74ba6f107aa9508e7ef1bad93916d944cb4c", "0486c77b8f251e8ae52f5ab6304288c1a8bcc48a", "47ce78c9f49248a7d1bd395befb43e45d89555ee", "554b53f6e5e37d0f8c8eade1a962b39ce591f6ae", "54969341ec539ddaaf7537b7353e3cea84790eac", "caab1c1d53718315f54bc4df42eb9a727fa18483", "1491c73713ff0b931e5bc1e990b9e762bfe7b60b", "a910f0468ffaf85aad72c96a7214565945cd2819", "53bed2d3d75c4320ad5af4a85e31bf92e3c704ef", "19158dfe2815e7f9eebc5822687e83d0a89ae147", "1aa52a25c2967b8bc228268c9ab5a96a32d2189b", "39e55283e6eb3f0f9db07cf1b20e0de8d5aac10e", "3402b5e354eebcf443789f3c8d3c97eccd3ae55e", "5e053cd164b02433c4efc0fc675f6273a8a1c46a", "9af9fa7727df11b86301a252db8a916c3a516a8d", "c70ad19c90491e2de8de686b6a49f9bbe44692c0", "06ba3492e3a9a2e98df2c81b91ec94787e3f97fb", "3b0b706fc94b35a1eddd830685e07870315b9565", "78990bd69e12f7d123b6a0ce6b1674ea801f2319", "deb78e302c2efdac51b742f4d3e8041b5838e533", "bfc9a449e6364817a5a3e19b73b1527a85c32d02", "56ffece2817a0363f551210733a611830ba1155d", "8f48c9ca2ea3101083be19344633372fe1a2efcd", "d7c9bd2587204071b87feaad01d631e7ea591c6b", "fd3d94fac6a282414406716040b10c1746634ecd", "57417c4a523d93801c8901d6f3c3740eaa65c9ae", "3adf719a5f451a61e98823783b5f2e049bbffa2d", "89887e95169efb35726cbeecf6a252de6fbcac3b", "33264f4cfc7fa52ff2a6e9f739070e8501ce07bc", "1d9b6745c0fd793db6dda8975b498ca517961d25", "b5793958cd1654b4817ebb57f5484dfd8861f916", "1a9997d8421d577a728f6ac119d4b14a3f46402c", "561ed7e47524fb3218e6a38f41cd877a9c33d3b9", "8cc23e554d98522b377d227dc78e9382a0ed35e5", "d81b0a79558cabaaf3db22caf89454f4e012f21b", "0d07db3510c7f9c2ceab65444cb8fc8ec49197b2", "eb044760b6502431da6b6f3d5ad11aaab851a1ff", "928857c96ef837f43ec87135de69780f6667cc70", "afb353801ce723951f0d8f9ed4b5ff9b41615601", "4d22c000c12aaedadcf075736dfc998dea932f06", "3417673c59544fcd33820a0a583a7543c70ac595", "27ccf0cdf0c7a74640697dfb5d1cf85969a5da2e", "8ff0c2020bf42b97d82a275c98a923a0df3bce33", "1eadafc27372b33a73eca062438a58d4280fd3a1", "a9e28863c7fb963b40a379c5a4e0da00eb031933", "abc2e6431a7092fb11418b79ca1c41a76b811ea0", "558c587373e2ea44898f70de7858da71aa217b8d", "d8b3aafb25c235be5c62da07881807872ac3e831", "a13a4e4cc8f4744b40668fe7cca660ae0e88537d", "aa3c9de34ef140ec812be85bb8844922c35eba47", "5c3d8cf726f17bbb326551253c810429d332d3f3", "a79b694bd4ef51207787da1948ed473903b751ef", "4ed613b6f0427d3ec4cad6c51dcc451786812959", "d350e3753756b1c6946d5d9150626b2de4f7a8e4", "daf489ba1a9012ec2e5236fddfcc46f38cf848a9", "a360526696a2698ad31dfca4c529e098d2dbdbd1", "e74bddccc40e65b31081a1599cbe7385d5d3e1c0", "1e0a5ce5204f3f7503c39df6d200627cc331efe2", "9263ca6211ec39469f0daa8790ccaecbd5898423", "de6ab8cd9d402c976082b707b1207c3ad49ae204", "d0631ba22add59684fff926d80d2e6948dfb7d7e", "789c76749a15614d97ac8f4ec18b3ce7d80a2d28", "0d75052f1d7350fa035a35566555ce7b65d1cd2f", "e42200a4f407f3a58119a2abdb3b9b218ec8ac7d", "45fccb72a1bc078ecb260c3e9871dda4edf37087", "673952e036b92617d56deac4166aea3064da7fed", "0041afaf2b17f1a33bd514db27b17ce34670fdb8", "6c76bea8342ebba9957e5ddb5ffab9a953398a90", "e2b093c6ebe4352ba9a1b281c621b798aae8d71c", "e5abe63d687f927a0ac61e9ad62f88b355d89caf", "977beecdf0b5c3487d03738cff501c79770f0858", "4706d61276b953eadeac572bd449cfa70d2e0b82", "4c130b216126434c8cd857431c9c4a7a7c10aca8", "3d6b71b359d5db96a69ca322a5336110d89fb10d", "4061524d5867325aab871ecf25ba58acd7872192", "9bd7f95a4c752a44e96d2205ceb6fcefe9232c8b", "2c3c72fffcbbf66cbb649b64aa51199722140ad1", "96788880589a514c3ae9de29695c0127d6e76b8f", "bea0bb77c0d75c3d70fefc274bfbff93a3eff015", "4170882122b559fc39ab3eafd66babe2429ba858", "74b9d1e80d3df707963fad57c50d7c25936da535", "90fbeb4c871d3916c2b428645a1e1482f05826e1", "f43b60a33c585827bfa354d3d49fb148a1c26c3f", "15f85fe1d930bde435c2e04372e27e8c8c4ba19a", "f164313e63d5c6d0a5f4b55fd0ffcc25c436bc14", "fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0", "bf92d7784a687b1aab20a0de2679498af641ab18", "aefb110f14dd8d59c5465c7d91bd8b34a7c69597", "05014b04223562c7c7485a1277552564d0ddc6de", "3c9ad25e91cace6ac93069480745d4578b7f29f5", "ae0514be12d200bd9fecf0d834bdcb30288c7a1e", "4dea9cce0825c0cdb1a4a28c4ab8416d6e3e047c", "5458ccf22bdea7197e28b433ef06d5225fb030a7", "0e96646eb97bade66848b1fe50a9fc6ab946ed42", "31ffe7b6447221ade78c71c36e8e86279a8478b6", "2c7932c2096669113328a75d1ad1d1bfb8f86ad0", "e79847c3bf3ffefe9304e212d8dda7aaa29eaada", "0bcc4ccbe7b12166bb6e8669ab6b5c7edfe6294e", "cd36768795c696c990ff5c89be8d8b3b205858bd", "b2e0e08e4d4c722d0f54f5a124ca28a67d74ce3e", "d5773fa88d40849b0d118f1c223cadaddcd8e189", "686c3da5c61d3decdaad57ea6f800048053d7e87", "b19077f8792f4ab7e390a8344e8b32accb94bc0f", "8bca3e860a08727511148e691835c9c516894b88", "f56321ac53f63cc5c5842dc5a7a06c56501e5dc8", "aa4b5494886b9322f3ee6e2d8b7c5550c26a7c5a", "3c8380bace3e9625ff5dcd7e425fb88effd917e4", "bff9d100e99dd6a99ec26ca867694075b1dcac92", "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "db861322aa584dcbd71c3d70660edfdc4464e0d9", "0f711f690ec9aa72c7b1cb074343f1f91fc8a756", "86f8dd2a96e1ef9574af1c4cf93f70227f7bfd59", "ef9081d153f96b96183666a5086c63cecf2f33e6", "a48ac2ebade8a0c77c936e45756bccef9668d8e6", "afd9c334973b935284dde768afd15e059eaa825b", "d6335ef1bed414c62a4c3f1a7851bdff37e31e45", "659fe7f32475bec73ed763f50cea929352b1309a", "c1e62e8f34b035317b416f574307ed6d5e11e079", "96a7f2faf4baa09184deb458a03146805d62beed", "a8dbc8284e3abe08ffdc08019b7d04a056a101f7", "4b5ff8c67f3496a414f94e35cb35a601ec98e5cf", "846f3857976ba437e0592a848e47f6a3370880a3", "61be9e8b1f2d642eb0b91a6097fe1c50c37a285c", "244a6d4f5f745f8c2a58a6a70d7ba2b91300c118", "8f00c57218b413440bc99bcd1b2a9dce369f0f4f", "491efbf5590467157f35c8c75c49d44659429f62", "406431d2286a50205a71f04e0b311ba858fc7b6c", "577faf190e6348cd72fb9efa696c69c4c291c794", "036910cae6efa7e2f4d506121d7f021e9e1a2e4b", "156b194d0cee545337524bd993ae640ed227b79e", "748e7263f048d4a3ee513d0d15767da9b283a052", "672e492d25510d0cc7fd4d06da0acb8934bd8a64", "8408f4b1193e8db25fec818a989d9fe3194d5ea6", "eb6243b1c9506f9450dab2a09db9c17fc2c2d364", "e69a57639e0a2c30c3127b67092b5535c719440f", "7e1a0b3ae3dfe1f6795205a48b7a3757bfad26f0", "cb522158aa3c91fda3089d152b0005605056852b", "330b7b3893eb5b874f7958b3ed0cd2879ca9ce3d", "d17fd07b82bf08a35df3fabd5d4f14588843ef40", "93a819b07ec0e76cc2de9f05f41f148cbaa410f8", "20ac41b5bc3b0697e6de097797bc95478751eb25", "da7ffe21508ad8d6dd9de7da378e184cb43a56c8", "96c9b289dedae6f29878d1380e4668d0679a53cf", "93df4ef2e1a9a99c514a69f9b7a22850fd1e00c1", "469592d1fecd776ce4cab2d004e4ada2f2d75f70", "83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a", "03a9affced96b1554b6208ff148617fdfde6712c", "fe7cb074f2bed5d3e0dd4e19255beceef6ef7233", "086a0b1d346835a053ad71fbe497fb1f9b1fc6aa", "814b49d7ceac7c3e6705eda9993921acd3c18b6c", "2af680736f32ae37d579a8b5656eec1c6b158dec", "41c1b8f319e27be0c77c3b33cf877c29b1676501", "e03c227ffdddf19cc12dd79b59d6871b560366e6", "c65cfc9d3568c586faf18611c4124f6b7c0c1a13", "81af86e3d343a40ce06a3927b6aa8c8853f6811a", "d0ae9d4b32409145abf3afa61532559976b32372", "b7a9fa746f22aa543c1e682554a834329b17d1c2", "d6daef592b96866a61bbba0fe9c2d3015c3ebedf", "a427ee25ef515ddd9cf50b4cc3a7376f57d58926", "c086fccde785d803ee2fab1979f70fd6f313d621", "df293716fbab287f8047378df86c5f81c03fe123", "3985dbf7616c7d2c6178eaa262389815f95290e6", "449df573e41217c584e55e602428c2e3849b82e0", "7c25f32e78d0a9ae75825445daf51b064c3f58e9", "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "c83a0e82240c87a5357ae1683fee96237cc16693", "1d61c77ea9df08c42ae2d222f04ff8291d088e84", "65da5a05fa6b49e8aa11b4acce965a0f439c1716", "54a0f303fba2b79868bfbf2941b23d970ab5ce0a", "e82bb86cf6d128b3ed0edf8ceddf025964e419c2", "d3200d49a19a4a4e4e9745ee39649b65d80c834b", "56ffa7d906b08d02d6d5a12c7377a57e24ef3391", "e60ee0573a6b6f6bd1800d353993c74ce6121765", "434ad689f9f8bc034fa8489f80f851686b8b449e", "11669a0a1fe4e98eb67ba2b756343bc16814ae97", "038e196b560b21f79b629a5a1c5cb89de27ca66b", "bbab98fe736523919d17661055756a0fe6fe4e8d", "af7590664e217dcfd16de3d1ae3cbe2a20334359", "67545a21b41ec6dd60376aff84bc0945cdb79590", "2baec98c19804bf19b480a9a0aa814078e28bb3d", "78749b58299ecebf100e2512872029f89878449b", "d5de20cca347d6c5e6f662292e4d52e765ff5cee", "a168ca2e199121258fbb2b6c821207456e5bf994", "3ec77809aaa7bd30858a4274e3c28a2a0259b30c", "a5da6a6d4243a89e974a6467cb5c6df6d914a946", "d36bf3b5616e12e402dea79b8a645e445f67b675", "883006c0f76cf348a5f8339bfcb649a3e46e2690", "09e3967a34cca8dc0f00c9ee7a476a96812a55e0", "403b3d0594989629c95e5bc5230d4ccb1691f255", "31d60b2af2c0e172c1a6a124718e99075818c408", "a6d621a5aae983a6996849db5e6bc63fe0a234af", "485c869aa24c3241dbaaa5d4f0b5f696ee4ef77c", "e36ca54c2195fa4291b24ecc6ec0ba2d286992e6", "b2d13185695bdef08679d83d1c195f7014d5f4cf", "c1c2775e19d6fd2ad6616f69bda92ac8927106a2", "7880138c9ec1f0f78b7c896a93179e9b38f44a47", "89d12f74c4195ec04c8bd6e16919e339b2fdcc63", "46fbf807f1c0c863aa35d3d8acb40870182d3b28", "57723da316c019628460daeaba143537d4dd1327", "eb9a98759265dfed4f11786ec9029fed4c632e23", "c5392bdc97e525403a38563ba19caef342879116", "d65d63d294d44a9356807fa2016700ee3177052c", "f06b015bb19bd3c39ac5b1e4320566f8d83a0c84", "df7606059011e0f13f7e0d4cf02574343b21676c", "214eb90d0386379972cded05e9f57b884edb1675", "bab65e5a5e0768fbddfaa0fa85f9fe9a51d38b6c", "5ed66fb992bfefb070b5c39dc45b6e3ff5248c10", "29c6b06ac98dbdaf25e4cc9a05b4ab314923cccd", "dc128d77a641312f358071edfd12f05988306465", "1c408790a7bc5cc8b0c2e23668ad326d0ccbebd4", "29fc5339e299b47c3d4f871974069a2971b4b8b6", "b9c7b2b419b44def1b0b4da9f93fcc339fc20a41", "3f2bfab312ac307240fc5345932c7f4959f11f2c", "f3f66fced81d87d0b83119e8561037de3c7dbdfe", "20a2b3a0d6a8a5334425e7190cbbfcf5d02ce8e9", "20133e8f14e5d3c4543a97ee99308b9d1532a52f", "331a3487bc4a876ab1761bf0f67ead5170e1dc5c", "d62d0505b37f3df983d97e39452137d31d44c94e", "ae03cfed10cb1dbd0328d70dc84789dd141ef1a3", "10c49dc22d5c7d885cba238634390013aeda6e0e", "9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0", "07f07f9c324666a7d139735e4a06cae96b9d36ec", "b38c7a58b4c5298705b8f63dcb6a1c21ee297af8", "113e5678ed8c0af2b100245057976baf82fcb907", "f10484fdcf67cfed25121d4162412e523fbdec95", "c5c6ec48ae98d86171360b19e3ec03738c712f53", "fc950b230a0189cc63b2e2295b2dc761d5b2270c", "ecb4b28c5ef9be94e2c34a55f42b40a54ff500fb", "3cfc097ba6badb4f89a9591b950e65b60782589b", "9fbe2611b1e2a49199fdee96c2083da625ba57df", "185ade6026c291166cbe4d36a444ee71fbe7f873", "b2046c78d4e2f00a72ee9a76875746d2d3f47e1c", "922ea66a77fbe53f781c83d3553f8b3e406965e7", "f51771c6cd9061acc9c468e7b44d5d3b6c552b32", "326b9c8391e89f5bd032aebd1b65e925083c269b", "15912abb1fe1457bb358d2d2b0e586c1987b6e25", "5c879f9e2e79d6c6af8d4c821575e73876240a83", "5147c249aadf9dd20d24a025995e79f5d6e4e5f4", "410eb51d63a3d6196ca9cab812f3233f00ab5906", "98ff7597197bfc7b4fe42575cf17d0fc42f501bd", "f442e57e13d1da68723d68cb68d7c78e1788cc7f", "1e50a75f1ed15b365ab0215035cb1823ab51caa6", "600c8fcef0480b7061574532861369c1c631de75", "568067d7232c753e182dbc1d7075364560ffc363", "a377f2c99218e0eb624ba65d6711c640b1697b92", "53bb52eb910c3a0ac5dc7f379b1f3f7c29af529d", "ec59860f635569dbe007e4c27182f7eb5a71f606", "75503aff70a61ff4810e85838a214be484a674ba", "604a4f7c0958c5cac017b853a7d0f5f5b4a4c509", "6c7b048313ee380da9104f33a5e0cc68d04f7717", "85754413313949f2fce98bfbcb49a18e5897849a", "f9329c2ab6d27864e498daed3709665522c1809a", "0c75db5e3c27bcb0d07311a950d0d25cb57c731e", "29732d196d199acdb9d5122207b4613bb3aedf8e", "0f085f389a52e13586fe50f2dae49e105225303f", "1a1f63cbd8465d1bbee9bca24124b52ea4ec2762", "63ce37da6c0c789099307337bb913e1104473854", "aadf4b077880ae5eee5dd298ab9e79a1b0114555", "35be5bea87c465c97127c64919d115e235d62e82", "8e9288e4619ee50631b68cf248eb56f4fc97a5e8", "76229d9e68bca10f3876f351856d6911857be827", "896366051fac2c6c97ad44a2ee9eebcf3ffd59cf", "a59800f16ad02f550c600fff4179167bad0b8654", "1f284b24d4b937e326316e2b5bfde227ea2fcdc3", "181979ca0f9db45da0d0e456b79165248d611486", "141baee5b83ecbe7242b6f3b8e8b55a8f2e484a9", "3f14b504c2b37a0e8119fbda0eff52efb2eb2461", "3b2df7d70ecbe3d0d65d27801d159ddaa150bf42", "560e0e58d0059259ddf86fcec1fa7975dee6a868", "5779e3e439c90d43648db107e848aeb954d3e347", "0e21c9e5755c3dab6d8079d738d1188b03128a31", "8f73af52d87c94d0bd43242462fd68d974eda331", "39d6339a39151b5f88ec2d7acc38fe0618d71b5f", "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "d3edbfe18610ce63f83db83f7fbc7634dde1eb40", "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "aa0c30bd923774add6e2f27ac74acd197b9110f2", "809e5884cf26b71dc7abc56ac0bad40fb29c671c", "38ab777923e09eb3aeb7c2560244c7fef50b0499", "ebeb0546efeab2be404c41a94f586c9107952bc3", "d3d39e419ac98db2de1a9d5a05cb0b4ca5cae8fd", "b32631f456397462b3530757f3a73a2ccc362342", "31835472821c7e3090abb42e57c38f7043dc3636", "1b3e7caf4b456e3762a827aa623c3fb88ca0b1a0", "cdcfc75f54405c77478ab776eb407c598075d9f8", "2ed27364d8bb58990b814dd0d746d8ec419b8d94", "08903bf161a1e8dec29250a752ce9e2a508a711c", "344c0917c8d9e13c6b3546da8695332f86b57bd3", "1773d65c1dc566fd6128db65e907ac91b4583bed", "70341f61dfe2b92d8607814b52dfd0863a94310e", "5da740682f080a70a30dc46b0fc66616884463ec", "5e7e055ef9ba6e8566a400a8b1c6d8f827099553", "48906f609446afcdaacbe1d65770d7a6165a8eee", "0595d18e8d8c9fb7689f636341d8a55cc15b3e6a", "20639423c42768d101b5fc6884edbed322a2ba7c", "ec90738b6de83748957ff7c8aeb3150b4c9b68bb", "57fd229097e4822292d19329a17ceb013b2cb648", "24cb375a998f4af278998f8dee1d33603057e525", "bb4be8e24d7b8ed56d81edec435b7b59bad96214", "9be653e1bc15ef487d7f93aad02f3c9552f3ee4a", "b8f64a94f536b46ef34a0223272e02f9be785ef9", "2e1415a814ae9abace5550e4893e13bd988c7ba1", "534159e498e9cc61ea10917347637a59af38142d", "7f533bd8f32525e2934a66a5b57d9143d7a89ee1", "210b98394c3be96e7fd75d3eb11a391da1b3a6ca", "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "5e0eb34aeb2b58000726540336771053ecd335fc", "f3ca2c43e8773b7062a8606286529c5bc9b3ce25", "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "914c009f13aaa3d10bbc5532c1ca3a5199db8185", "2609079d682998da2bc4315b55a29bafe4df414e", "34c1e9a6166f4732d1738db803467f7abc47ba87", "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "c1f10c419538584562470c78c23f9bbfc7dc1a89", "58542eeef9317ffab9b155579256d11efb4610f2", "9d941a99e6578b41e4e32d57ece580c10d578b22", "3774ffc9523b8f4a148d5e93eaae317dc18af3e6", "03ac704621312e0dc6537ccfa1dfce507746e355", "33f4c796089ddf9aeb7bc1357e3add5fdc8ce4dd", "4ba2f445fcbbad464f107b036c57aa807ac5c0c2", "97129acc201d6e86e21514ca9ed3fcc0877f1367", "2be24e8a3f2b89bdaccd02521eff3b7bb917003e", "47506951d2dc7c4bb4d2d33dd25b67a767e56680", "9fab78015e6e91ba7241a923222acd6c576c6e27", "4b7cd8c7a9dd28f0c1959c36dc7dfeab46be1caa", "6080f26675e44f692dd722b61905af71c5260af8", "ce6f459462ea9419ca5adcc549d1d10e616c0213", "9dfef52f45372ee76b63905606779080026dfeb1", "71e56f2aebeb3c4bb3687b104815e09bb4364102", "52f02c4a0a1fba52d0b5c898d428644e5e1e4729", "b6a01cd4572b5f2f3a82732ef07d7296ab0161d3", "5e16f10f2d667d17c029622b9278b6b0a206d394", "0133d1fe8a3138871075cd742c761a3de93a42ec", "06aab105d55c88bd2baa058dc51fa54580746424", "4f623e3821d14553b3b286e20910db9225fb723f", "6f22324fab61fbc5df1aac2c0c9c497e0a7db608", "e9b6804cd56cadb9342ec2ce412aacba7afd0723", "6dac0abef00a9f22b04973e396053476a12fba64", "ff3f128f5addc6ce6b41f19f3d679282bbdaa2ee", "32c9ebd2685f522821eddfc19c7c91fd6b3caf22", "d0a6a700779ac8cb70d7bb95f9a5afdda60152d9", "48320c6c156e7e25bfc04171b5ee6003de356a11", "3f25dd45dd008a32fc03bd284f78553209833323", "417c2fa930bb7078fdf10cb85c503bd5270b9dc2", "c7c03324833ba262eeaada0349afa1b5990c1ea7", "88bee9733e96958444dc9e6bef191baba4fa6efa", "59a6c9333c941faf2540979dcfcb5d503a49b91e", "0fb45e704ef3ca1f9c70e7be3fb93b53714ed8b5", "2c203050a6cca0a0bff80e574bda16a8c46fe9c2", "d6513d62594d9ef558c787f65118de5554419920", "007abf56a59d186c0787abbb4f78a90bd48103c9", "539085fb25edc3b9efee6577d709115ff8415015", "80d4cf7747abfae96328183dd1f84133023c2668", "747fddd7345b60da121fc13c5440a18039b912e6", "73e0ff21029d337af53e030ec269c1b7aaffc3b7", "0fdc3cbf92027cb1200f3f94927bef017d7325ae", "46e72046a9bb2d4982d60bcf5c63dbc622717f0f", "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "70f189798c8b9f2b31c8b5566a5cf3107050b349", "a59c0cf3d2c5bf144ee0dbc1152b1b5dd7634990", "298c2be98370de8af538c06c957ce35d00e93af8", "8882d39edae556a351b6445e7324ec2c473cadb1", "a5f70e0cd7da2b2df05fadb356a24743f3cf459a", "29b86534d4b334b670914038c801987e18eb5532", "432d8cba544bf7b09b0455561fea098177a85db1", "6d70344ae6f6108144a15e9debc7b0be4e3335f1", "8bebb26880274bdb840ebcca530caf26c393bf45", "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "2983cf95743be82671a71528004036bd19172712", "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "39d6f8b791995dc5989f817373391189d7ac478a", "2af2b74c3462ccff3a6881ff7cf4f321b3242fa9", "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "39d0de660e2116f32088ce07c3376759d0fdaff5", "4d6ad0c7b3cf74adb0507dc886993e603c863e8c", "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "0b6f110b702552858454347cadf22ddd1a05f62f", "ba01dbfa29dc86d1279b2e9b9eeca1c52509bbda", "dea9b9619936bb00cf845cdf4478435da5363057", "0343f9401b98de36be957a30209fef45dd684270", "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "d903292dc4e752f6a3bf2abe668d17a2575044d4", "8b19efa16a9e73125ab973429eb769d0ad5a8208", "5c812e8968b88c25d18a066f8a28c0421555d2c9", "0486eb243d167ab4b197b682e9eff9684b273df4", "250b73ec5a4f78b7b4ea3aba65c27fc1352154d5", "dd8a851f2a0c63bb97e33aaff1841695f601c863", "174f46eccb5852c1f979d8c386e3805f7942bace", "a6b5ffb5b406abfda2509cae66cdcf56b4bb3837", "6bf88e29ac04d72297e6f8f2971c5b8579786e7f", "c9984c07eb657d6693e2e205518c9f05cbed75ff", "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "ab734bac3994b00bf97ce22b9abc881ee8c12918", "924fdb38c7186f216fd8844905fdad7db910544c", "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "bcfac093aa4a67d405a088e56ee4980872661070", "a955033ca6716bf9957b362b77092592461664b4", "2a612a7037646276ff98141d3e7abbc9c91fccb8", "950bf95da60fd4e77d5159254fed906d5ed5fbcb", "0d3b167b52e9f0bf509e3af003ea320e6070b665", "81777d9cb42c384d5471ae89d4c5769a3a046864", "aa8ef6ba6587c8a771ec4f91a0dd9099e96f6d52", "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "60643bdab1c6261576e6610ea64ea0c0b200a28d", "38f7f3c72e582e116f6f079ec9ae738894785b96", "e378ce25579f3676ca50c8f6454e92a886b9e4d7", "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "970c0d6c0fd2ebe7c5921a45bc70f6345c844ff3", "1fd2ed45fb3ba77f10c83f0eef3b66955645dfe0", "4349f17ec319ac8b25c14c2ec8c35f374b958066", "eed93d2e16b55142b3260d268c9e72099c53d5bc", "a5625cfe16d72bd00e987857d68eb4d8fc3ce4fb", "19808134b780b342e21f54b60095b181dfc7a600", "e00d391d7943561f5c7b772ab68e2bb6a85e64c4", "563c940054e4b456661762c1ab858e6f730c3159", "4749503fe584b4747c1e371b7bc101dc083ed0c3", "cd01a0018f2b8f1211e8dfe311c28e32773c58dc", "9889596a98824bdf7e7c59b62e732c0b2d356c69", "c196cf87e475fa305f534f6a25fe676e1737294c", "3964caa0a1d788eb30365972880f83b71df1ab21", "12dfc8d4062b83a0b824b1676533482f14e4978c", "fa40bf7f7d16a72cb6e203e0ea438fc4c575396d", "41cfc9edbf36754746991c2a1e9a47c0d129d105", "877100f430b72c5d60de199603ab5c65f611ce17", "7f26c615dd187ca5e4b15759d5cb23ab3ea9d9a9", "8627f019882b024aef92e4eb9355c499c733e5b7", "9d5ee493ee1b7955bbc71b13edc7f97efe53d743", "77ad2727065cb3dc5c91975604af01c82ec5c9f6", "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "a8d0b149c2eadaa02204d3e4356fbc8eccf3b315", "ca97777cc2d4be87ec7e7b50dc8c2390dfcd4546", "0e33bb2ed974c33e3e17a7464705610d85a5e74f", "4e6ee936eb50dd032f7138702fa39b7c18ee8907", "8df05de407b829abb357e230bead5407cabe7305", "41c87d3342a85712a3591b6d49d99be8fc8d35d9", "48cdb6a640b4259c61c476fb529d7c176e8345a9", "359a4142f6a55a58a3e18628e3ee52c76744fcb0", "1fc5dad90c459d25a53d73125ea50094e28d6525", "af370cbe392b7fb2b9f26476a7e063e0f4c46815", "c322706351370b598612dc1e73b8bee78e0e8a5e", "5802d1ad0be6ad38ba6b3e8df6be6735cce451d7", "eae625274767cb695fa2121ccdcb30828ffc9b66", "d16968e5baac6d26b9cef5034f9d84bcc3ec627c", "15f795d436aaa9e77ccccb00b9df49bf0127f8b1", "1394ca71fc52db972366602a6643dc3e65ee8726", "04d3299b91413aef9b412deace3da92409cd6639", "619eaaa60f0194d456591983a6f26b04cd9e9a52", "82a7ee86e3a8a0cf5a0447cabe94150e30b01f25", "0f5bf2a208d262aa0469bd3185f6e2e56acada81", "8f690751e82bd3aa3a6b142309d3010ed6d577ca", "1550c3835822843a02b2144cef8abc534441f5d4", "1deb7f96fc92d5c9e04d2cbb277473fee878e144", "60580f3edc3df1e869b234b88a66d6791c2d5d43", "490bd6dc220b42a706a919166dec7620a1c663f7", "134dd3bb637b51c61fa9d2332f11e39efc0b359a", "832377d50d133da3514ae3c51c0e6043ab856eea", "90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a", "d8b251cbcda6289bbeaff56692da963aa5a80cd2", "0f3b3688af4e87b27ad38bf70aeffb64288bfe27", "28795f32b324eb3601e9a8c1ce93335691e120f3", "78dd8db25230f7001e86c94a6796b5e74f9d6e00", "df4b148b89c3e19d11e53dd2102599add3a9048b", "df9bad65bb11cdf9cff33425a3943525b2666ea4", "7b8ed16ca5c03d21b0b2e56d9ee5cc24d668625e", "b769007cb6931464168f63ebb4571e46d8c804b7", "181eb2a54f70d9d5355e7b91c2000bb236e35c40", "085c61ad31208717a6bc28059708ebdebbb1ca43", "db6017d7f86188484f7927c3844f27088cb396ba", "3765df816dc5a061bc261e190acc8bdd9d47bec0", "52db20e91a46e68d7feda4b9d2755312f423b5b2", "bfb7619312e0d961b979fdcd7a327776a1fb2e26", "f69a289a3bc6b61c612ba6ff4033f122100daccb", "dd0be14c30714c77421dfe6cba31ed0b523434ae", "6d8612f7856f569f5635ff07a6b94480a9c7c284", "c631a31be2c793d398175ceef7daff1848bb6408", "248291285074203eb9ee8e0b8b517ac4ce7dc4aa", "147e699946e8c54d2176b4d868db03dd1c7bdb8f", "5531b7ba98f4dfce40feec370bcaab512282cbfe", "f153cbec29d86a58b5f15231fd14e7037a210682", "b0b4ce1962ad6732965aa7f4b3dd1bfd32f0ae5c", "72b34e9536665f776b0f282ddb63120afa21c84e", "c7c0feedf979e7cc9139926e89c44e4189c585f5", "c291d95ced5f5039f62d29db25ab094ef61e3df5", "eb1208a7f535de6c6180e4dbeb6eef2a27500c52", "1a9a7913db0f726996d28e15ca6de59d36e54c4f", "3373ca46fa2c19112aebd772983ce70183ac1690", "db85195e171f7b75e4e6f99ed3029d31ee557e13", "c747c45c2fb3d678954bf1a16a3d9cc4dd4b8f01", "69dc87575b56ba7f60fa24bdd4fceabeeaf39a80", "c69ea9367e1244bfa5d3fc290b8a33be3abd8c24", "905ade3e9d37e3243877c61dc03c0a4daaa45c0a", "1f5cea8440403bb06ce4868a0d7123b12e73dbd9", "68ba19afe924699b4a0c84af91c05deb5b03e3bd", "f202c78e58d33a65c19183414ad0ee91be440d61", "a625ea5942e68364ceaecaccd7e5cb85b7aedfbb", "acfecef9e56ff36455aed13f8e6be1a79b42f20f", "f86c65bc2753ae71826a0dafbf46a75d22fb5b5b", "820e4727827646c79a9a5d862c510d26be5356f1", "00ba9f2005b750efddd9f883acb03201342b9288", "4efaa2a1a14ba6e8bea779eae49d6220fc771f2a", "ad95faec593acba9f9327b202d1235bbcf23fe8f", "35410a58514cd5fd66d9c43d42e8222526170c1b", "fc38d7e2dc7006383e5b86b922c815251ac55631", "f8a5bc2bd26790d474a1f6cc246b2ba0bcde9464", "dcc1512561b342c003b489f9235c0fca527ac0b0", "0741c84f80f64446f6b87c7db534d6596f8f78d1", "7af971c24f1569a0ec44bb9036564f1b543c3a73", "8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11", "4b3db55f583cdf3fc396d83fe9bc8439d8f5d294", "79d3e7321e50be745bef92ba1405b486bd1f133d", "7056a051e0589ab6aa299c7d2a31588800b8c93e", "d11cd0c7484094a5c778d29ad9f73783613a2f6b", "1e9c3d0d87e09ea359ce1e31114b677d627bf9e7", "685918c61769ed1ef955356658eeb98903f3ed48", "f3ba0aa8887705801cf3fbdc5dc085edf94c54bb", "47412bd10b4d40edf77d8976ae37081493ecb601", "fe35639349a87808481e64f9cbea065339063154", "c0d1d9a585ef961f1c8e6a1e922822811181615c", "ee267e831aba3a2ead7ce6109b48afd41a30323f", "a43c7b7f702c52022549a3533b5a487a1bfa3812", "18fbe981d6f0c7b316b206297c24341cc26778b9", "1f1339196b0c65126145e0fdfdd88a4e197d5896", "6ed82fcb566cf73e01b58d95218204e276f28272", "a7a7d4be51d0918cbec78d84dd1f7363535fd60c", "95bfeca1a19479dfa4d76b3b7211be5462174ec1", "2379f2c6ff59e01dff3c5dc96b63dab67ca50bb8", "75e1e59f82013e9661e0b8400e7d49ca62deb8b7", "8b9f529700a93a2ff6e227c76a1333883a1f6213", "7869d8b9899226132d410ad6d409746bafe58f77", "d787f691af05a56eb0e91437fc6b1dfe5fbccbb9", "f1ec3752535e0aa6aafe3930974a22250e652ca1", "e896b084a247213f48b703c98f2ec6f55a02a2f5", "295266d09fde8f85e6e577b5181cbc73a1594b6b", "a23d2ce6ad9640f24c63dc7a42c45faf559f4039", "40451d8dfc6aa0c72b82aa54a8cdb378a5a70abd", "c017789ff1b4b455220e97bd0264949d8bf006f4", "b9044a4e648d04a3f07695797b22b695603b3fab", "18d8c54c1977f41b7ed71c1eeebf162298323c6f", "f4f616115bcc049b52c4e6e8aca9e08837730951", "318b52b1f37669c24415f4aab6266c72a3b255fe", "f07e54347b9c2c9ecc0878f1cc1d7fd8ac7e2c58", "ddd0cd1e2061ae6941998f2bc7b86aa717339ec5", "57a903864f1a64160457cb9ff172aa4c865b6a9a", "9730a140831f51a6640236e42059b948c5466d0c", "6898b0934d2bc34acc61a3c63fbb20337d7b9a95", "15eafc361edebe3da9ff8debaae16f487fbf17f2", "f8ca23fdb2c9f62a0492147f1f015579049ad3cc", "9bfe2732a905cb0aab370d1146a29b9d4129321d", "2adfedf71aa84a7417d95e8c4fa2288dc995b41b", "2e9dc528c023a6634a51d5a74e95e5f432da9aaa", "a8bdc3a5ed63837785ec00f4dbce932b8957cb2d", "760ae5b075a59d6b448115b0de549f29a58d7f74", "e4433daf01a4e55ffca764c1e161f83552db081f", "36436beaff15390381b04cbe543c73dcef9872ac", "21967faefa55857c6a09f9fe52a10a394757d59c", "767936728b07238bbf38661fc3c2000d0c17b598", "2fb9363fc33568c21e696e82c6869170016335ac", "7b4d985d03ebf8465757877f0eeaea00fa77676b", "48576b8ff0cb471c95dfd503f55b9acff61c5eba", "596e414872debe1441b5e40216febe8788df9b35", "b5ff7932a25e8570e428737653b776e6f942a65b", "9b68fc7b3f395ba1df39d1304c36365424c73819", "61d2057142a1e995ed4c8d337d0f557188eb8162", "9005054204e2dd01182b959f603ca13cf1565d20", "8d6344658fa9673b1f4ac0d0bad53617ee127aaa", "56852a56dd830a6ee3882773c453025ddec652e2", "54568bdce3405ffbe2a6f5820711f966e2d2faf3", "1df1391795000c8085f81316043f0a0adca87379", "0a391c4d7aafa73324549f212cf28640ed471a81", "f27bdc4f7ec2006425f999055df071d64640836e", "8e46ad44e47d323c8cbede0fb9bad5614369a43d", "60e7831264573be83d9e34a0cf4fc9780a04495e", "1001f69c8f5f265e141a471ebf74096eac289878", "12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25", "74cbe1bfb1e5e4171b6fe1d89cd3a03a834617fe", "8e42fc867827a10aad2f425fdd06d83d6462a3a6", "72edfb91e4b3d42547591be9e8c6eb07e7190499", "a6bd679c8a9346a39a003f536f36b7f77c0e09df", "a6afb698b19faa376fe9e04e63b35668bb608f3f", "000b27b8725432580ef9d5b9c5402fc7b76fd68b", "46aba81002e24209ca1962e305e47ef7a1821b32", "a66373beaad40fb5a8e2e1b42c5a2213b166a55c", "b8caf1b1bc3d7a26a91574b493c502d2128791f6", "dbebd79aa29a078bfb7a8044d7a56acb24f8354c", "8747cc07e564e567ed0e8de038a222782206d986", "1802aebb98424af6fa8f3d4dc024da2f1d3ea1e5", "09a106feed520651d785fd8a2df26910f5928f2e", "b97ed8715ef7b93c3540c24245e91a2685708529", "b317d03d82c22f52dbd79a3a19b1384aa53a3925", "48d27876c99241eb23305c90bee91ee1e7316352", "10030368bf59a779ba1e78d181e91d93756fb0e9", "83ca4cca9b28ae58f461b5a192e08dffdc1c76f3", "90f0646c0801f1dad43d2374d1145be8e005bdbf", "defcfed9c43bdf8a4388daade4899ef9d3345458", "8ffd5f01c592cacc2cfde8486f934f6b2c9f95b0", "62567f0042fadb644aeabcbabe78caaf1ae28349", "4c5b56f0da26c745c7375308607beab08d13460d", "7dc6654a122ae36304ed2a091774d04075064c9b", "dafe65b9ca65c67b3a655755ca26e0ffef049df1", "1d8e7a251ca178d7142285043cba1418864250c0", "9f22e0749405dfc3e3211474b933aa7514722e4b", "137457bbf46009b25d7f6d853083b6da02bfd6b9", "a01e3cd6072535838493005107530f12f4d7bae6", "b47ea4d5b0040d85181925bda74da4ab5303768f", "c43490eb0a3ce18fb2326ef1d0828664b60e73e2", "30f84c48bdf2f6152075dd9651a761a84b2f2166", "95e83661648ba6bf2f0fbbf436bc8304c3cf016f", "0f349677a24dce888851dcf44f5c886d9f4681ec", "55b74bc00871b43d69f8c80adb5af6e0d54d24e0", "916d0708a75ed34819d232f4cc82b23346571ee9", "7d4a04c03b73d34c86f5d06cbb88cca4287d8b37", "40757d94d6ef33555fc940d556ebfb0d32410fbb", "8c5dcd5a0b3c9940e544993327eab6425ce645d5", "68245f308f8049dc40f146e296d6e6a6bdba1ff4", "8575adafc04a7915bd71c3733e379577da0c4406", "3a53bad58f8467092477857ff9c2ae904d7108d2", "ef363588ceb966d862b4347051d20b8e1b8834f1", "22d5ec0e9756761b686f85473890a6f6675b524a", "42e793b1dd6669b74ad106071c432aa5015b8631", "dd6826e9520a6e72bcd24d1bdb930e78c1083b31", "5357bdaf7c54619016bdb7ebfa991a65a6cc8353", "a7537db89ba832467594c01f2e9c4b57afe7e719", "1aa0b335906e91cc026741e3523b088677755762", "f883739c699e33937c88bd510be37cb16a23b79d", "6a536aa4ecd6359d54a34aca7eff828e4df02730", "bf8bcda2e4d04b6bd6f5e70622e972baf525a1c7", "c02cc6af3cc93e86e86fb66412212babda8fb858", "cd0f7b3f545cc4bfa5e2d7185789e8ead7e3cee2", "754871be7e73e2db0d1dfe92f7f9bb2ea39e7842", "74113bb67eef4cfa28ebfa8bd38a614c82bdfdea", "887a035bf946b44d218c1c13f0046197bc35b83e", "73f2cbbda2a3f43fba6838a2793000af7fcd2f17", "9b451c1a85e8482befe6f826e1e7c8a4f88f8b94", "4c863a15c4da0d0ccd20c5897a4e33fb771fe3eb", "c010c66620a57b14f0f1b0f7cbc0173d2a844c0e", "823a47273e0e6101be67858f5c5f08e235f2d58a", "645766177de2ef61619572bc09ce239c232d7d5c", "ea5645229264b0925708a09994555756498316a1", "1b6b778f3b18a3c3168a5997bf8e656ecd46211b", "4b3d08514df70aa04961343d355b0a242fa81519", "bbab2c3d0ebc0957c5e962298ffd8c6d4bc25c5a", "cb9057a47f6d3367a6756507ceb1b1f9b596eb7a", "2b0e1a62d7168df5f29e2e9c7fc72ae43c39fdb2", "05bba1f1626f02ef4ca497090b4a04d47f36ebb6", "a9fb2ec954dbb8e1ee6b3a33e0e5c06db2d89d3c", "1ed10535da0954f0a334102ca8957611f52e1b3b", "42b0124c382ee7a3b56c2063e769aae94d7eda7b", "183cf20917780d9f9c6fbeae3fd15afddda7eff0", "f524b1aac4f2a29dab45d7e8726517798dbc9782", "b99957df60ee58e38ad71ed70b9973c22d5c26cc", "8eb2e7c9017b4a110978a1bb504accbc7b9ba211", "ec89c5f2f5acce23b0d05736cd9f32d4ca6dc382", "1a2be2332bd353227970250e0255cf0ae802df31", "034c06a737546856a33816d3a27836ca12875c47", "11c7e7010da7a93287e09b71f920237d0e5aac02", "e030697c19dd1919dbdd889b69df7ab002a8af19", "52f71cc9c312aa845867ad1695c25a6d1d94ba0e", "27fb07897db51ce23db4ef93e2621717ee1db64c", "cb489395a7a89bc6299e78e75ac7c0207bcd39bb", "9d0bf3b351fb4d80cee5168af8367c5f6c8b2f3a", "7934c91f09e5bf819519d4348aafdda7c99267bb", "75b20672a6290a8e2769ba0226d9187c0ccd5843", "a68c07cb446f63fa6b48eda04c93392219c09700", "794cf037dac115755cd15295d8c5fc1c00242548", "03accb50af9e92d0849e72c1a966e7ddbc534396", "127c229a3306bfc8170b84b12316f4a8024cc7ab", "1518a6f8f477fcaa213d5cc80ee4d36591d194f5", "116888b8f08419f027f5047f0ff1557b16f69d5a", "d93a1f71adb7c2e641af966bcac5e594e0b3723e", "806f466034e0c3e609e672559e23d5d8bea6fe3d", "ac5b3e24a7dd2970c323ca7679625a7d29602480", "d5eab901316fec455161994f15da6513198e089b", "dbaa466fa6b9c107307fdfb60a9a0c74db0dab38", "68150d92e2ca3141ff3f4ab3d770e07f6ca13961", "a2505774d5654685c6d899760759520b339e6c1e", "0d9558933bc7305f6fbecf944f181d8f67d47522", "21a763b9038dd75ed1c59bb2c9bc92cff805c34e", "658b5690828c6d3f745d47828867a6cc33370b18", "042e83c87d9cd16eb2309d08b71ad955fc8a65d1", "69188668dd6fe2075212a085bb63b5651f06704d", "58cbd5a31e92cff29e29e8b25ee79f30ff4e6d4b", "0956a3c628959afcf870f5d7ec581160a4aa5221", "150f36869f1dc71fd2ed53b16900c510a89d89c0", "7f3c6bf191a8633d10fad32e23fa06a3c925ffee", "0c9f715835bee028a358701cf5a73ecbc3a7e242", "8f616a1a3a1098dd59c6abad93e41fc86ad32faf", "42e640fc7d37c51b157e7007117eacb78d7789a9", "e1eca56ced4fd2a6a3048ba7240f0fe1991ba45e", "81438ba6eae264ce1c8d2b5ffd9d48eda1d81f93", "8a63b2fb15c1ed01bb1c9c42561219e5162f3851", "6af98f9843ba629ae1b0347e8b8d81a263f8d7f2", "09eaa332ddcd036b0f0950bbdb3624072f105a3b", "ddabb7494b5b6e87c279912071840f105c7a4d15", "6746292c46975ba575a48c2b05b09ab056c26967", "0b74a2dead1ff07447ef49cd2a861a77d5b5de64", "ee3a905ec8cd2e62dc642fad33d6f5f8516968a8", "d83837592e22200824bb125a1cea2a6f0b74d643", "66cc90ea586c914e6a3b50fe703f4379d530fad7", "2be9c1d61092ec315f068bb30f4651cf4f3c7658", "523b2cbc48decfabffb66ecaeced4fe6a6f2ac78", "8179d7c9bab38b738b4879a98f17f0a696dd543f", "6b6946ce943da5ba4bf6471609d3355cadec172e", "5d2c592fdccc7331598cfa60ff70f245faee3200", "e1f794bacd01eecb623bead652bdc9f86e17944e", "faf5583063682e70dedc4466ac0f74eeb63169e7", "f26d34d8a8d082ce2c81937f61c28f3769c38372", "776c5e37eecd26049ae31f56b3249c390e25e4e9", "ecf4690ddd3ad26f9cd1749d16ef1aa06d391f92", "0bf2765d431c16de7b8f9c644684e69fa52598eb", "7e3693fffef8d83ac109309a77f2545d32c10fc3", "b97a155bdd86491c8d32f02d6dfe5b73aaef4549", "32610513986d27c9e3c3045e4f5e04f8b47c9082", "f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e", "65354a13bb76cdd930b88879580eccd2cbc4ebbb", "519b69f50689cf0c702c8432282d98054095cec4", "941fe72a1aa8ee31ab5d15fc035ef856ce032b74", "75308067ddd3c53721430d7984295838c81d4106", "421387011b5cdd2cb4a1fdf04728d350741a0ac1", "a3a6e3cadfed3c0a520e4417fc27da561324fbc6", "29a6cbf089a8d916b563e02480a1844909754bcf", "063f0e6afe13df9913617dbc2230ad4263a595bc", "05904c87cb1d0b1f17fcb018fa0344c020694f36", "420346d7231608ad845fd7f06c8134cc1e150821", "d5440779ca69a2f010e57250f53a9be0116305e3", "4c0ce0ed9cc92115874be4397f6240769d3ed84f", "1f7bf1c9705b6d0485c9ad1a0b91ebb444e5fee5", "963cd7dbac6fdf518b1c082a5b0a6c151c7b97fa", "3369692338841f14ce032fc5d0b5b4fe7cc79f1a", "fa11590fea86049fff1eb412642753422738c584", "524f6dc7441a3899ea8eb5d3e0d5d70e50ba566a", "b129a44a83e8219eeb877d6f98db7d22cdfae828", "8f9449ce1250ba1b9ae0dc96ea3803f0c96d98a3", "1f7cf2df2fa7719c9db3fe57a0f01d65f08a9a8f", "f110f7be74261469fe9b0cc5a3b4ef35e2092d5b", "2d8bb78b2f9c66d45f2c25b04b97603844e1a622", "0f9683ca40a2257ae602eb781a57a4e5d5c53b03", "284bf12324805f23b920bec0174be003c248cc9b", "b79e1ab42bee24b1c904d33a0299569de26ba530", "d4cc504df896c4c5cd392abbdc3f990744ba54e7", "841ab6951767498cc49f97557499b54b3aee4992", "2670c4b556264605c32326f49ab4a8b4e83ab57f", "b73f43a34af3f5ebac0a88066d8bd2eb39873be3", "b6ef46621d8660eb53836202fa58f04fa20adfd7", "790ad3255083ac475185d9de8159ae3cf2e0068b", "73bbbfac7b144f835840fe7f7b5139283bf4f3f1", "dcc064b8bf7744801ae7dfe4cbfd11b7e5a5b673", "082a8642455b9a5cfb27c07cf9969106f8a7bf3c", "6e7c2f13bc2cf5547f4d8a845dc115108e52b27a", "1d9081e59ca765fb5e43fdb6565e0e5be1dd176c", "fb35a3dadbe6d9a1823eb12e33fccf9a3db3c2a2", "bb40bf3b9f059b39958da8d33a3f1ae49eb60e55", "a82cbd476559704a54a2634423311be4146c5025", "247232ab9eabb4f2480dd70557a1ee89afed4f20", "9fbc0135e76b0fd972517e06e833593ecf6ac49a", "ec4af4a6e89d61c05dcdf89f7f5d0a404bed4027", "44fbbd3def64d52c956277628a89aba77b24686b", "32cde4e3d7e225cd0f98f53e54295140df9600bf", "d45775dec9cb9d6f48b583f8d6a864e4cd6001d1", "b6ae677b26da039e0112e434d40baf7dd929a3ba", "ec6855acd0871d3e000872a5dd89db97c1554e18", "38fb67d26d27653f7aa538a1f0237e281d5a4e6d", "5ce035891b920e4728a50af7e4afb54e088f5183", "11bfc54a64ca69786323551bbf88b85b216ae486", "c594231d4eefe6c46ade599c477a435fab64b1d7", "defea28a6d1b749484027576bb388f646c781ac3", "5c2bf097046f538d8d56d86c60dfd3cfb735d3f2", "97ba2eac9f7e6567b228ebb2c18163933ae3f05c", "b370eb9839be558e7db8390ce342312bd4835be9", "0b2cd813a6e4eede24a8e603f361fddf82e67757", "3584b132d652e60056c2cc63f11705131eaf3120", "6e08cc6e871eb7b19f4a540714c4f21f0fdbb86c", "8f2e594f55ca1b1675d8bfef25922c97109cb599", "48ffb705e94dde426b7241108ca915a5ecab6414", "1582c29d0f752f95a12f5a8ce08d5e5c752f6822", "7c79d3a40c1a1f5b9692ed23396b0f13453c225c", "ea7ba51f0e0c78320df382d305db91184f60529a", "c2fe8856caa3dfa282b2c4c11c5c5dcb3b57e14e", "c85e85fab31ef72f1d090b1944eb2fec7f1d03cc", "f2bd32b1d4cd09e73476f2e0778cffa2e3e79029", "ac5d9753a53b0d69308596908032f85b416c0056", "49659fb64b1d47fdd569e41a8a6da6aa76612903", "4e39951c2f8b4600239dec7e10b7ee1ba3a000dd", "2dd409b2eff010631c1e6f3d92b873292064afa7", "6a55d6db1b31f44c9bb37b070fbf7c8f64a31f13", "00858aa4fe471f0412ca869382a2f6c5ac907f50", "f8af9978e0f722d38191e5780fc769dda8a60158", "492355a44b81753d43bfb1827a8a940effdf4cd9", "abfcafaa765433b8f5b8be7eae392a8daec54b8e", "c3de7c38493cfe67654411d77f47069cfa7b077b", "cffc94574c8796cbd8234422a979e57e67eca7b5", "006a2a42d6a0970ceef4b3622426ead8bdf2c979", "753119d52d611a0d08a2d43601719325f89fbbc2", "370d80b5765bac227ec17e783e54cd51cba76b40", "8c8284461633083764e01fe720a186267504990f", "0f2ffd582674bd856247bc5482d85e6db3b49b8f", "821c5fe2fbaece8a86aa3bb2d8be971a5f26f10c", "9ab4c53832c521276c766afd35e943aec3b2a4cc", "3c1d87a9d7cc6599ba235884e25e5030941a00a0", "8401361bcf149f0ed09a6da09d5881fcda7546b5", "0ec17d929f62660fb3d1bcdd791f9639034f5344", "5ad65c6474c135a6c15e7127d8bb91de8c8a55a1", "feb4367aafc60159c8dedcaba2d5a66fdd64066c", "93230746b04a1fd42a8b600cd965be79517ea3f8", "6fee701352f0f5c4abea3e918ddcf078243253cc", "69f7b684b318cce5dd72a0dc7c516c2da17520e2", "7ffe0284db4581e814cdcdba48236e63c50a7d54", "338d4ea0813c668d6e43eb025ea580fbd76bec8a", "5d04bd7104f08f7fb91967613ffc519c27641e99", "67f1537dd5ab89d911977cce217ba5eb239fb4d4", "8ff3c7b46ab36f1d01e96681baf512859cc80a4d", "02e05ad42dbe99257eee1bff3e28feaa005e5924", "2155739f578e33449546f45a0b4cf64dbd614025", "0cff123a31dcc115377ecca6ba137bebca909ff8", "3df8ca618c05514be39a4cde3e68988e73ae6f50", "b22317a0bbbcc79425f7c8a871b2bf211ba2e9c4", "b05ac3b2286c30fcab385f682b3519a823857112", "e5d27e52fafde2b09ae6568fc6bde28468f5517e", "aecb6d0094ffea0738dda1fc2466dc34ab77afbe", "298fcb50848b95678b143bd3650978d5b62d3678", "044da4715e439b4f91cee8eec55299e30a615c56", "78a9bebc5a9a3f10017cac4475fbc970f3a3ed35", "bbf534b8ee9455b8e492a252bef26f9293d4f91a", "20eb57978ec863e031e0960c6799d756a041d60a", "30e3569d672b10ea9104f6e40d657075522187b5", "096e68f8d632f4363056d54a7de9c59d66b806d8", "343b07fc60e2bf9c2a2c8da7d46cee1c3bb85cf6", "0c98defb5a83ea5dc5d90538d1cc8c4b6267a1cb", "75e0d77d50dc0fe492f2c58c1ca86c5e21b2511c", "9cf07922cf91c4aea66c8d72606ca444f4607cc6", "adc71e6925f1879f902173e659f7f63caf19c97d", "de058103b26ea4f15074392a2eee62a3aa935b80", "725a45ad75caf0112d649253f8a69793b1f00e80", "b29e60ddcabff5002c3ddec135ec94dd991d8d5a", "17635e22a73da3ff60a72715b7dd8837de6fee89", "926ca7ce14332f9f848c28565d0f2f9a2d1e35a8", "e7cac91da51b78eb4a28e194d3f599f95742e2a2", "fb3844521f9719e4904e5d3d7e1e549e5881b1f4", "5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0", "0da4c3d898ca2fff9e549d18f513f4898e960aca", "6ab33acf444c39734762b94a1bf473ab2f2872ea", "04b22b008669fa981602c7723b44cb4a5cb2d480", "42b0e7f924dc96df281207d5b6560436c61fbaeb", "a2fce1c551a3c3b1cac16a96f86a59cd7fbd4c80", "8304b011f09655927010d2893710d17dd6ea4f39", "9fb1bd7d98a2fa79e1b9cb21b865ec7af0c1283f", "f16921c1c6e8bce89bce7679cbd824d65b494e4d", "06c333fc146d0a87f591c82a1f22925ccef378b1", "f614f9ba33554cfd1a474be03520319b51651a35", "6761507700db286d23fc7185d44b95087ec277b1", "ec5f89e822d9fcbc7b7422dc401478fc29f9c02d", "368e7f24c43f5d628d938dd453127917b6cbefda", "6d55aa7731364ad19865f1aeb2d8e84a3f155f81", "34351420203bae3f7be1c2866e63f34410f68099", "7da9464dbae52c8bda13461a4f44420c333b0342", "28858a6e956d712331986b31d1646d6b497ff1a9", "82da8e52232df3124b7130a9dab90af9f165de90", "86bb3f1189095547defc95d0f3cebd21ea47e36d", "20388099cc415c772926e47bcbbe554e133343d1", "eea0640261e2d9bb6b851a519ef1a036093ec04f", "d377e648734f429ae50c889c43b7b2e9c5ca2d66", "00f2cb52f5d88e09d24ca791f9ecd64168c8a570", "2ba64deeb3e170e4776e2d2704771019cf9c8639", "67ad519dee36c4368163c1617f5018fee4aa30e8", "22ded1d36fdf941584a2dccb8ce981085e991116", "e4485930357db8248543eb78ce3bc9f32050694e", "6c54261f601c8a569149b77d32efe6c58f2e4a2e", "7484911e00afec5c08e7b83f3a1259d60035d77f", "2d532fd0636fd49dd893c9dff7fe615f974ec826", "87bdafbcf3569c06eef4a397beffc451f5101f94", "aaec8141d57d29aa3cedf1baec9633180ddb7a3d", "3ebb0209d5e99b22c67e425a67a959f4db8d1f47", "0b5915fdba1e99e401f0e964deed33a9e12357bb", "67c56c3893d4ecac99e263e1374ce851fb988e4f", "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "12044354032fdee40405cb12e8bbebb6d073a768", "741da133076cee3cd0efa848e8ef8aee5adc98c9", "46d477442fa49a497b5ec794b613f127ee647bc5", "9360cdc6ea9d1d373ff31387b5528fcea2d815ea", "82d6794d7898fbbafc64bc2432ba3a6c951a7872", "2775de727d56d50b63d473ef2ec7bfee9b62b185", "c4e60b0cdaf229f982cfdd8dadd1392d2c569fa1", "43aa40eaa59244c233f83d81f86e12eba8d74b59", "48174c414cfce7f1d71c4401d2b3d49ba91c5338", "1b2d9a1c067f692dd48991beff03cd62b9faebf2", "1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3", "4ce474dfd3c52a95d208c170d0bdb47e070aeb88", "0cec42a1593a02ce3f4a44d375e3b95f5797aa21", "0037bff7be6d463785d4e5b2671da664cd7ef746", "d77f18917a58e7d4598d31af4e7be2762d858370", "59ac40ba02eb812e08f8a80f2303d7d97376fae9", "75e7fa7290b9b740559725b9c59df0d457523ee3", "81a80b26979b40d5ebe3f5ba70b03cb9f19dd7a5", "7480d8739eb7ab97c12c14e75658e5444b852e9f", "be4faea0971ef74096ec9800750648b7601dda65", "c03f48e211ac81c3867c0e787bea3192fcfe323e", "fdd19fee07f2404952e629cc7f7ffaac14febe01", "0cedb284c91816ad282ea3f59f5ed84d295fe1bb", "210668e2dd74916ca1aa1555aff30e78cd3f477e", "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "d37519f8b26a86162bff65ee48d3a805773b7c98", "b28346f6a962c6bbe309c891cfe04c90b97c1fc4", "8ea8cdee6f62751d87339f821d2b2a094ab4b260", "0d7fd4f4245c81b586270826458df1870cea46da", "c3fb2399eb4bcec22723715556e31c44d086e054", "c51fbd2574e488e486483e39702a3d7754cc769b", "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "d95db5ddb83e441e3441fa3b727ddb15f1266846", "4d9b757b51e52dc5da81f47f7006833269a55ff2", "1fd6004345245daf101c98935387e6ef651cbb55", "de878384f00b6ce1caa66ac01735fb4b63ad0279", "88cd4209db62a34d9cba0b9cbe9d45d1e57d21e5", "7ba7c3652aa9c21cb31a745657e0bb3d7d7ca890", "38a2661b6b995a3c4d69e7d5160b7596f89ce0e6", "a8fe949f73ad7c0ca5cdabed1a0493be72c4a598", "b68452e28951bf8db5f1193eca3a8fd9e2d0d7ef", "09ce14b84af2dc2f76ae1cf227356fa0ba337d07", "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "f19ab817dd1ef64ee94e94689b0daae0f686e849", "0034e37a0faf0f71395245b266aacbf5412f190a", "80326699007a29119728636ba13d26efc2b10a1c", "ada73060c0813d957576be471756fa7190d1e72d", "746285327c609db16f18f47b9422475953a8a2a8", "98c2053e0c31fab5bcb9ce5386335b647160cc09", "86fa086d02f424705bbea53943390f009191740a", "aa1129780cc496918085cd0603a774345c353c54", "ef19c2b2777d08740c96857b9554635386bfae14", "4bc4a7c4142e8b37389fddd1e2338298b8b56e96", "d3d71a110f26872c69cf25df70043f7615edcf92", "d0f93c7c32c433f246f20ed4c15d1c9de718938d", "749d24ba31f0bbd0344cd2dd879c6549c64f3d7e", "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "e9e40e588f8e6510fa5537e0c9e083ceed5d07ad", "6fa7a1c8a858157deee3b582099e5e234798bb4a", "e293a31260cf20996d12d14b8f29a9d4d99c4642", "91b7270b7f2a8a52df6a689f73d14986b2d48ba1", "ad6e42a287ce14ae6f49bac5e2522517aae56d84", "5a8f96f6906af8fbf73810b88c68b84a31555f60", "db0b512d4473bf9d08875bc001038e9a3fc71a11", "0cdb49142f742f5edb293eb9261f8243aee36e12", "2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc", "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "270acff7916589a6cc9ca915b0012ffcb75d4899", "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "3ed5a2cad06209b00b51853fc399b9c240af4c18", "f45d6a7bdb6741242da6192d18c97ac39e6308db", "b98e7a8f605c21e25ac5e32bfb1851a01f30081b", "ce54e891e956d5b502a834ad131616786897dc91", "2ab034e1f54c37bfc8ae93f7320160748310dc73", "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "b3cb91a08be4117d6efe57251061b62417867de9", "48121f5937accc8050b0c9bf2be6d1c58b07a8a0", "701563eaca0c4ca985d751ecf9142dfcf0e0c9a9", "2a35d20b2c0a045ea84723f328321c18be6f555c", "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "332b0a954a1bbe2bf678850bfd3378ab09b4737a", "367f5243e3a7cd3dede3a9b2c540906d18161636", "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "5c4f9260762a450892856b189df240f25b5ed333", "1175e6e0f37be33d0bee87a63ac31631f3e1462d", "d562303ddb580cc6a5d700c857e19b2cf77f5c84", "41f8dd3de3380d49ed3809c582b139d9be5176e9", "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "69d126fee77fff737a5d4404b623be97234a5dff", "61bb5e11f1ca95fbde53605f9aa7119787c1fe5b", "917423ac7e47cc6131084f645444aaf98cb98395", "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "6a0368b4e132f4aa3bbdeada8d894396f201358a", "0addf98106d949bb8d96734867db6c0bfadd4d11", "1a83a63c645f717950b65d22fe53be208e6de71d", "ffc5a9610df0341369aa75c0331ef021de0a02a9", "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "baa6b659c18ede26085dff29fb1b3130217e9102", "6c01b349edb2d33530e8bb07ba338f009663a9dd", "238fc68b2e0ef9f5ec043d081451902573992a03", "50f0c495a214b8d57892d43110728e54e413d47d", "cff80816977a28b942a2351c69fb9d4884041f86", "02e133aacde6d0977bca01ffe971c79097097b7f", "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "e8dda897372e6b4cf903234c7a9c40117711d8d8", "217dfb88befc92b29e211ed2c3c6ae774a9b6d54", "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "a55c0810e6c84f8e51953c0d8fd9971696d205f0", "df2494da8efa44d70c27abf23f73387318cf1ca8", "27a0a7837f9114143717fc63294a6500565294c2", "b23bad5159c41b32fa07e901b1cf52fdb41450df", "1e95f08cb399bda0c25d6791713bc9537c159dd9", "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "8af411697e73f6cfe691fe502d4bfb42510b4835", "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "9a345efd67dbd02ed2be4d8f4c63538f0d41c328", "7a51ba9f18b8991956696a94bb014e40fc4975a7", "404776aa18031828f3d5dbceed39907f038a47fe", "a961f1234e963a7945fed70197015678149b37d8", "7397fc452aac26712099170431a02fd531f97cf0", "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "c07ab025d9e3c885ad5386e6f000543efe091c4b", "1eb9c859ff7537182a25556635954bcd11830822", "b1961dca4d37aa72a0713fd2164d70126ffc0587", "b41d585246360646c677a8238ec35e8605b083b0", "9d757c0fede931b1c6ac344f67767533043cba14", "2c56e17a37c3584d128e7baf3cbea595a150f74f", "771505abd38641454757de75fe751d41e87f89a4", "13901473a12061f080b9d54219f16db7d406e769", "ad39efdb45b9b855844442991c0588eeaa61fbd0", "d878a67b2ef6a0a5dec72db15291f12419040ab1", "c17c7b201cfd0bcd75441afeaa734544c6ca3416", "c18a03568d4b512a0d8380cbb1fbf6bd56d11f05", "d0d75a7116a76ccd98a3aeb6f6fff10ba91de1c1", "2784d9212dee2f8a660814f4b85ba564ec333720", "a92c207031b0778572bf41803dba1a21076e128b", "28be652db01273289499bc6e56379ca0237506c0", "debcb4d9de36e6f53fd246b3d65c8260b6c56a34", "518a3ce2a290352afea22027b64bf3950bffc65a", "ce37e11f4046a4b766b0e3228870ae4f26dddd67", "22e678d3e915218a7c09af0d1602e73080658bb7", "3b9593a7ba7138673e3d34c5fb68d299c832ae9c", "5506a1a1e1255353fde05d9188cb2adc20553af5", "84eec311063320352b771b71156292148f25b0f3", "a29a22878e1881d6cbf6acff2d0b209c8d3f778b", "b49affdff167f5d170da18de3efa6fd6a50262a2", "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "99ae2fab79a3eb494be133ee47ff2d4571052b30", "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "9ed4ad41cbad645e7109e146ef6df73f774cd75d", "a2de19bd3095f6cac4ce9205f0cab363e88a83da", "edbdc2920441bd751f57bea87a9c0fc283874b50", "467b602a67cfd7c347fe7ce74c02b38c4bb1f332", "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "62c435bc714f13a373926e3b1914786592ed1fef", "4da21844c20980c64bc0303ad887ab10758a4258", "96cf50510bbdeaeeec1a66c889af32a0630c1f90", "0f3d44d8de2754358c27b3e2568cb1cec7b1311e", "60737db62fb5fab742371709485e4b2ddf64b7b2", "a5eb36f1e77245dfc9e5c0c03998529331e4c89b", "90fb58eeb32f15f795030c112f5a9b1655ba3624", "ec40df721a80c62d4a768fe29b58d86b1a07f435", "307a810d1bf6f747b1bd697a8a642afbd649613d", "4d16337cc0431cd43043dfef839ce5f0717c3483", "21bd40e7219749039064c9b9c00674606ba73b1f", "a38dd439209b0913b14b1c3c71143457d8cf9b78", "3f5e8f884e71310d7d5571bd98e5a049b8175075", "d78fbd11f12cbc194e8ede761d292dc2c02d38a2", "b108c2a80744fc1463f9cf30ecfff79cd5d370e5", "8c7bceba769762126fd3dae78d622908bb83c3d3", "33548dec33abfc66bba40ac3f9651c0605d6b537", "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "19296e129c70b332a8c0a67af8990f2f4d4f44d1", "c8bd42f19a4f7087d384cd5b5233e36a4b9f9fd1", "dd3b83ce1b52203afd05b15c660ec6e19580299e", "ee7093e91466b81d13f4d6933bcee48e4ee63a16", "b0b8757e6b327180824f01514cfb81b1e2823550", "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "c81ee278d27423fd16c1a114dcae486687ee27ff", "3cf9156e725ebb91a896b4601e291d1da909aedb", "78d645d5b426247e9c8f359694080186681f57db", "5302df3216856b0c54267455078c206948c8d545", "5028c0decfc8dd623c50b102424b93a8e9f2e390", "3b1bb92e03dbce3792cf386b9abb61a330597746", "34108098e1a378bc15a5824812bdf2229b938678", "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "89272b78b651038ff4d294b9ccca0018d2c9033b", "86915632efd021e1dca42f16df36944d08de2fbe", "2493fb68320162f1de3fa3506c87f33fe0dc81d5", "789a781eec0cf28d4294c270bbd72f3a21e41dba", "2563b2adba98788a217565ba5a648f83cb75eeeb", "1d1a7ef193b958f9074f4f236060a5f5e7642fc1", "7aa7decf521b394b9ac3d75d03fcf2aa7d792858", "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "3ba74755c530347f14ec8261996dd9eae896e383", "a937d8d4a25709d1572192fc85c3f12759067ce8", "a0061dae94d916f60a5a5373088f665a1b54f673", "c4c1fb882ae8b48c461e1f7c359ea3ea15da29fa", "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "b1290dff343ae4980e3e853055ad9a5b9116238b", "af53ce0f3a039c685b754e1f704817e03e182412", "c7835d080337efb17a174f175c0fd889a255578b", "fefd9778ef0c23b9e59c2a4748dcb98c827168f4", "2cf55b050102bb770ce20284cb1fb33681822a48", "0c069a870367b54dd06d0da63b1e3a900a257298", "12003a7d65c4f98fb57587fd0e764b44d0d10125", "218aa551e3947876e746e6de4b2b5b144885bdf3", "4180978dbcd09162d166f7449136cb0b320adf1f", "2004afb2276a169cdb1f33b2610c5218a1e47332", "5c92355b2808621d237a89dc7b3faa5cdb990ab5", "3b75681f0162752865d85befd8b15e7d954ebfe6", "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "2643ef482e63eb56b9474fb7b37440764c8e2651", "958e5e855b17a736bbaa65eed0412b0f1018f1cd", "6e3a181bf388dd503c83dc324561701b19d37df1", "e4df98e4b45a598661a47a0a8900065716dafd6d", "2400c4994655c4dd59f919c4d6e9640f57f2009f", "e880437e23b1f8955604b1c7d09fbc4385245d19", "10e38b46ba1b4eed683459c292e00a2d3509bcac", "b306bd9b485c6a6c1e4550beb1910ed9b6585359", "8c93907f376fe93b9ec847f5034afd623b9774e6", "c0230b49a8576aa83805bcdf5efcafb38efd8482", "426913f890f07a5d79e6c23b83cd928ffc00e494", "972e044f69443dfc5c987e29250b2b88a6d2f986", "6a69e245fc5d615a849518d6f6ef320b46545672", "d340a135a55ecf7506010e153d5f23155dcfa7e8", "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "deea1daf5825a0e5cc50da17b7bc7e96ddff4052", "a38808d5295350132d0e0b3031837310511f1e1d", "78f08685d44b6c6f82983d9b0f9c6ac2f7203a5e", "9fc04a13eef99851136eadff52e98eb9caac919d", "83bce0907937f09f5ccde26c361d52fe55fc8979", "48d67280368d7efdc3893d286290a85a00070918", "31a38fd2d9d4f34d2b54318021209fe5565b8f7f", "2f13dd8c82f8efb25057de1517746373e05b04c4", "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "09060ae3b8057c1cfb391dd96b177e14555584d3", "39b4b48aeb1deca67390718735511f2fb5d71c5e", "5ef3e7a2c8d2876f3c77c5df2bbaea8a777051a7", "ac12a36330248eaddadd3e6e75b909e023c7674a", "5501e3a19f32bf537c9fbaa34593ee0069db8ff8", "c48cea0c27c9df398651b4f1722b1179ff1fd19b", "57b8e6db0002660f03c4d93174a05a6d525fa755", "f2f590d81e7926b3348d6eea1417e88bc00c40f6", "3fed04ec797dd248b93954d83a24d9652181954c", "1921795408345751791b44b379f51b7dd54ebfa2", "ab0d227b63b702ba80f70fd053175cd1b2fd28cc", "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "67c703a864aab47eba80b94d1935e6d244e00bcb", "315a90543d60a5b6c5d1716fe9076736f0e90d24", "26727dc7347e3338d22e8cf6092e3a3c7568d763", "b36faeba2383cef082f9f3f509dd2098a926e2f5", "942fd0b406fe1d24b50d745cd31fd31220c78f0c", "8964524580ea2cff41a6b5858b623788bbefb8a4", "a8a8f17582a5ba873eef2526ef4774813b19bfac", "19dd371e1649ab55a46f4b98890d6937a411ec5d", "50861dcd93908969f9e688951aa298519f93efac", "b5c30099791a909b87c736bfc269b347544a859c", "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "4b13a57cc3c39d404239c726f12669f352f69ef5", "ee56823f2f00c8c773e4ebc725ca57d2f9242947", "7aa062c6c90dba866273f5edd413075b90077b51", "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "9ff931ca721d50e470e1a38e583c7b18b6cdc2cc", "845f45f8412905137bf4e46a0d434f5856cd3aec", "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "198b6beb53e0e61357825d57938719f614685f75", "9649a19b49607459cef32f43db4f6e6727080bdb", "d92c08d8d10aef4cff8342f9251d0112e1c2fb45", "e1dd586842419f3c40c0d7b70c120cdea72f5b5c", "8166edc1352eeef54f6d861b93673c36d67927e8", "5de9670f72d10682bf2cb3156988346257e0489f", "d3b38fbaee4404e31186d9db98ecac74f48a433a", "c95cd36779fcbe45e3831ffcd3314e19c85defc5", "6a42c07228e46f318ca5d52166007c3fe113aa28", "ff012c56b9b1de969328dacd13e26b7138ff298b", "b166ce267ddb705e6ed855c6b679ec699d62e9cb", "37d6f0eb074d207b53885bd2eb78ccc8a04be597", "1171e8a96ffb15fdb265aaba02be014a38137ad5", "3605c2d8a532c15e27262f9b00bbc920c94645d7", "965f8bb9a467ce9538dec6bef57438964976d6d9", "ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b", "20747cf1685ba615f19b0db7b17b66bc58ce3453", "fb228b214e28af26f77cc1195d03c9d851b78ec6", "45edb29fb7eed5a52040300e1fd3cd53f1bdb429", "1f745215cda3a9f00a65166bd744e4ec35644b02", "0647c9d56cf11215894d57d677997826b22f6a13", "a8bb698d1bb21b81497ef68f0f52fa6eaf14a6bf", "03f14159718cb495ca50786f278f8518c0d8c8c9", "a2fbaa0b849ecc74f34ebb36d1442d63212b29d2", "32727cdda38066f03e5819acddc5e62c8b54974a", "a5f200d52b588030c76dcc38c504f65d772a1f5e", "407806f5fe3c5ecc2dc15b75d3d2b0359b4ee7e0", "272e487dfa32f241b622ac625f42eae783b7d9aa", "55bc7abcef8266d76667896bbc652d081d00f797", "21bd9374c211749104232db33f0f71eab4df35d5", "82be2bc56b61a66f7ea7c9b93042958008abf24c", "559795d3f3b096ceddc03720ba62d79d50eae300", "7b19d8e0667df6913f6cd72ad178f3bd599166a3", "bef926d63512dbffcf1af59f72295ef497f5acf9", "cd010fc089c580c87c5cff4aa6a9b1d6d41e2470", "1750db78b7394b8fb6f6f949d68f7c24d28d934f", "b15a06d701f0a7f508e3355a09d0016de3d92a6d", "8a0159919ee4e1a9f4cbfb652a1be212bf0554fd", "e1179a5746b4bf12e1c8a033192326bf7f670a4d", "e10cbd049ac2f5cc8af9eb8e587b3408ad4bb111", "a32d4195f7752a715469ad99cb1e6ebc1a099de6", "aacd658991f2f37263e90cfcb0282fbda6719f65", "a694180a683f7f4361042c61648aa97d222602db", "fa2d02343be1de448ac51c3a668c29f231b362f8", "be13f17ca05bb0f80f1689254e516130874c6f6e", "a010835842ac0e49eade395f056e1e33d45b6ea5", "8f400ade331e7e75ace804726aa2bb397980415f", "f0ba5c89094b15469f95fd2a05a46b68b8faf1ca", "ea4a61299b3b19adb02d4246aa33cf8e8469ce98", "dd6ce56da6593add0e52951b46d198950554c025", "c6ab9ee6e406993d784f9a4b46bb06070abfe7dd", "241cb0c59f63fab66f4772b47a17a41cf6e5f23d", "a894c3f61b79efed2389eaa3b9744b0427087f56", "116261c74ad54646f7d1d6be38cb9930f1bf44f6", "10f74097f65d3e80a79a271dcdcd9b6159a1f58d", "42750fbdc5bff1a2955d2ef4e5d197e101843bed", "3c531cd922bdf3f03fee12c82a77a7eaedc6734c", "f774f80fa4b5a8760084921f093730da519c6681", "026168fd2bcfbcd02012e379f35b7cfdc4c95ee1", "e11247abf2c359428d414a97ea21e0744e2ef9ac", "8770d091d91626e80c7fdacdea6bbd464986fb13", "56370ddb77e57c212e562b600d9299ef0b28184b", "6b6866fbb4354e30ab34db9d6a8a07da4bf25777", "a19f08d7b1ce8b451df67ec125dd9254b5a05d95", "28ef59700a57bb4d9416e09608cc1a03749d2103", "3ad1e34dad185501ebae44dd9dbf0f5c91aff183", "ff8d115b73a301cb31d58c8621ea22e1749e570e", "1e394f669c4f63c593677d2850c3d022a6fc1ac8", "0fcca61391e7ee7718f5d2c05adc658f2978a2e8", "490a0b6ff5b982e884622bb9c81250f05c069f32", "98a18702cd9be53341f12c0e711df9d985120ad7", "d57ce0ff4acb2910c2d1afee2ebb7aa1e72a4584", "ae5743712462f99bc3618eaed9814ef305048ff4", "f7aa587f5bcad000c07f41ac91c4fcd9ed3c2a8d", "7c0f7d47da05a41e8671b059ade70dd2df7070db", "770bf54c87e55c986c5bc383f3ba240284ef8908", "ef13cefa7700e1286c52700cee5b36c4e186b27b", "b4a2ab88955b9b23db59bcd1b7b8488b2d4ecb8a", "76a313ca56efaaf03c854b2c3fc94b514fbc5e75", "044264a61868bc4e0efb8b501f326cb93f9fade0", "7c26559e7269679ef52a85d02c6ff7000c2387d2", "ab68837d09986c592dcab7d08ee6dfb40e02916f", "8370912226ee7783c459368593bc3f88310b1414", "15a559e988cf565879bdb5941b93c35686c0ff6f", "73d8fafee6be9d4fa789ece2192f259199f00e60", "14635cd7a9c91ecc0133d02113bc8f6332492f31", "97d811ae99bcbcf9f63c2f447041ab6d74a20b1e", "e5d4e5d68ab05a02dcab035a0d8ac8123a1bdcb0", "f8aa5d47c0de3eb423d545f3318e3c3715524a27", "59f8d0e79eb02c30a5f872038129c4b5dd9bc73a", "90fbcea84f621ee5d73482c5cb02479778aecccd", "bf735bb7557e73bc6f68853cba828b55bd163726", "96defc23602f84af2ee6b7e7c75afaa7ee560eb6", "2bbfe26aac63693556a7eacb45b7271532d0128b", "a70cfa3d84d0ea64a09faf00ee1b0069d1ebf73f", "8064d7a28c763ec37a840450d729f23428ad8f8b", "d095bafdecbae3a234d92ee96005b45cb5b1f55f", "3759b4fa10eabe047ff417b3076458b44132dc8b", "0c1f066a2246fd8d817318e3081f6fe3589f42ea", "5b9c849c2acbdea6e3cfc730def4f083f169521c", "74ba4ba7a2c97826690b9d45edcc82532d1039bc", "fef0b51c865cc72b64bfafd6a1bf3539c3c1d290", "d5cf8636e5435cb2d31165fe1edea5a5e3ae798d", "273fadb4247020b830f48be556b4b44fc900b94f", "1fe0fd340996ac94d6aed72a22ace49a34ee728e", "f3f06ab2acce6aacb0cbf709784ee7d90df27969", "626913b8fcbbaee8932997d6c4a78fe1ce646127", "efc6e9bc366ef4b0de3fde4c81dff91f3f03063f", "4d231311cdfe3aba13766bd0b358d4db0a9af3d3", "cd6aace4f2e7b95e3069e708ebca1e9082ae0559", "36ca720185b62e92a7f3cce75418356a5a125d24", "4845a5041529d0c010020cf08ceb376c096abc9f", "197a3c1863c780507798c9550dd6faadeb65caaa", "bace9d834e3582333b9460e33f0d6712eddab94e", "103b33d0006cae8fdbc9998b3136264771cfe025", "bea56c0e615e6cea496f52331432bbc344d55192", "49f70f707c2e030fe16059635df85c7625b5dc7e", "01c0e86de95062b64bc56216d8bb769cc896b223", "cd6978bf6b98794552bd52d166b5e04626fb6d6d", "b1bd58bb76ae9e4504622a941e1da21a24b5cfdd", "df0090524461ac8e16987a6e30d4287f7c8e0c8c", "547679aed8f1043628600a40f261aff2e951d316", "cce8da044492b41f692aa56a03ad5f11102ce973", "0cf0f28d4d9e571cab6c5cf9dcf91657fd869b2b", "9039b8097a78f460db9718bc961fdc7d89784092", "3bfb9ba4b74b2b952868f590ff2f164de0c7d402", "e4d08ef1b4350c7e03bdfb716200370c2ea87a6a", "cb11a150fc245958799e763069a6ae3080814d40", "902d1b14b076120cb21029b51ed8e63529fe686d", "dd7875abad93418e275825116e029766ada9b9c6", "b96583c64a3e098adff6114a5dd42208a6ca67fa", "7b47dd9302b3085cd6705614b88d7bdbc8ae5c13", "2eb37a3f362cffdcf5882a94a20a1212dfed25d9", "e7b6887cd06d0c1aa4902335f7893d7640aef823", "ea9085c359fe8d01298c60ed8b2a2737b67a9f63", "111f2f1255fa9e5a82753bf5b3f2f0974e87f86d", "b21bf45cd3aeaec3440eeca09a1c5a5ee3d24a3a", "0939dcc2006eb7d196b63106ef1fcd54a514e4a8", "bca52740ba679b67a508894e68a0e52f6bf62079", "d082f35534932dfa1b034499fc603f299645862d", "085ba9f82e15603f1fe2a29dfa0182d46465a591", "edf8b7b4275560b2f779f7cc6a698fa43338442b", "2c885d046ea482774d0c657613a061ad21668557", "fddf524012a4e1e7be94827d2ee5506d2678e540", "04644c97784700c449f2c885cb4cab86447f0bd4", "fa052fd40e717773c6dc9cc4a2f5c10b8760339f", "d7e8c6da1a95f41d8097b7b713890ccde13ef1d8", "90e8610ffd1550648712d78074236daba6caa58f", "98cb6011e3713239c0e758e0befd94e060fd9064", "6f5d57460e0e156497c4667a875cc5fa83154e3a", "b759ce285c6ed41dc8efbae1fbe951e83f4ae292", "3eb174af28a80be4e3ce5d55750d7d38c2ff4da6", "7b905905b616be6ddacb1808ca9849ab19863967", "4e246e8b505b67dda0fee6b344806e2faa504b7f", "de8381903c579a4fed609dff3e52a1dc51154951", "3515f79514fda3d82bd8117f51986769d6f13b5c", "dabf269f516adc6bf87a7ceb455cceda4466917a", "a06f0b2d569cbef0822ae5e8625b4cb2a7f1d78c", "13f762bbbfd0921cf8904265eb027ac99e70ba6d", "7c327903219c4da8bd127b467b47ac0867529973", "d2ed9996d42d255f05c6a56aea28e385d75929d8", "791eb376d4db96376eba3ef804657c5f0ba7229a", "6818c60209f0c4f979d1ff4211aba49afe9ae78d", "e5e453771109f60be145c2b09121f7e85fa5b1dc", "ead587db6b2b76726e98b17cb1fbf973a34ddf31", "61f4e08b938986ea80f711c73cadbc84e1811181", "541b13515480c0371bb8bb79cf17120645edccc7", "a8948941f7a24c09cd7c26f3635d8571c7998570", "d7702b849b136f614bd751bdd416c747805bbcab", "8ab16c26678245ef009cbbf87d750cfd18e21572", "0b3be3656a90edf9d8e7c88c89927eb42e674aa6", "f7f1c57d38748d718309d7d55ce79e41d60f0940", "3cfbe1f100619a932ba7e2f068cd4c41505c9f58", "9f5098dea38669135c8552a83f4730330a15ebba", "cf7e6d057e6ef01904770be3dfc9da29f9c1e197", "1d5f22e73aa0d8115af0be61fc8832de501f4a1b", "c8b1850cdba18e3de513a315810fa4bbde2da867", "b67e2ccd0f05df5358464b9b38da3bcb9feda1ab", "27c6f50eafc11957df59b8a6c1894600f3011802", "69d1b055807ef35a8f9490775348cce899421841", "b3fb2255fa1535bf8a8609d4a47ab09d5ba3e417", "05ff2975863bc9f7b16f2c0b85a1d17f8b76cdb3", "cea6a4b34e3bf3837dbac1058770f1009a4a580e", "98512028c62db408b413fec756e99f9085c46bad", "410017a1810308564dc54cb986b12f079428f966", "9c93512df188d7dbab63ebe47586a930559e6279", "c1c3e32ecf6da8e1372fab7d504cb8cd2c86fd93", "3e6c43835e0579fbca60db2cb124364549dfd2b0", "5fc15baee1383d502775fab8ee91d56f4875429c", "2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c", "6c984bb3243f3b8d0afd8d90cd4ce85eb8f1dd3c", "52d158c08e269b62cdc7c0cbe339206d20de370d", "4fe0c6c83d998a0660bc5280c8ab6e61df9df887", "6149229bb6c705b8e4d9fea772e7e375437947d7", "cc34b0ab84e82a6d8ebce08eff1b7556026b5352", "108c973b51514f54cf2a078ca243ff0cde091f4b", "62d9750adb300cd53fb107b174cb6a07fb8b96b5", "14aad0d391a9491eb122d5b6af6c325a0e090dc7", "919d08e9645404c60b88f5f5e8511e363ccdf922", "f8c94afd478821681a1565d463fc305337b02779", "d76e0235c3e5f826f99392d3165541a1944308bc", "60acfe1311d3e624287321256eca4adef5f77ce8", "10f16af880a8c7127c1b343a25fdc936c2bd5b11", "71bece8ec4934e3034f76d8ba19199c5b8ec52ea", "673ebf0d41100f67d9b6feb0dba7ef96d23d81e6", "e5ae390bca95fd014918717472a5507eab7fb069", "7085d21f483743007cc6a8e3fa01d8bdf592ad33", "fbd047862ea869973ecf8fc35ae090ca00ff06d8", "5c97cef9cebf101b74699f583f3e324aebccde32", "9108682a3bce19d67d7b48d94bebfbf6ed29fd8e", "21241d07840e3cc30feda59642571a9b459c817b", "b7b6fa6aa0155a9512836857a0140a356a8190af", "69e52ce4df3fc14d2321637ac4e9843dc2e68b0b", "5efa4cbe10eca74f0806c13257c6403ea5732214", "c04fec95a448f9b01dd4399b3a5a365f67448bdf", "7cb0f54a9a02b32e8fecee6d32fa3d392ad29379", "cf7b4fa0a8b58473b94496f353f3c8d0f9531b71", "c7abfb920bbd82e117411817b32b5dc31d04eecb", "f4808e78bc648f9e1829c83a68a3e8ed4e7cf325", "3575d74eb548c3187ec5b0d27383ac966b9d7110", "1f7e6d9ae543c67fa9cac2476d7b5396f881ee69", "8d09c8c6b636ef70633a3f1bb8ff6b4d4136b5cf", "7ed88b4444de20cda76cd73f7374ccb76e753002", "9214e71ca44d87a9f43ba719f411d5307d78fc4a", "397349476582198639abc7a8b933e350cbc24c37", "5e2266d4ca1377bdf38ad2c07d0d9e0200813522", "527d596a56aa238dfc450c3ebfdae31e82c6c175", "c16479cfa79fe9996ca16fc30add9099815abb04", "718cd7e570600401c64e31bc08ab404be97d19c3", "5bdb621ae5eab5d64ae4984ab0e6e74a1b4b7a57", "179253152fba4626e02a57067c3eb5302431e537", "8c0f38c7c07c631d0b5414a84dda2992bdc4514f", "d8f96bb4130604bb5e160611d499451882f4166c", "58b80f0e484d32c9fe5b57648848e048270d435b", "3d67e97227846f579d1825e00d395d30e17f5d0e", "43ba38f4f79f7ea47f472ad70f00f4c96c9dcdfa", "2cb31b1a334de6763732a0e147ce30ac1eb849d4", "40099b528b170c180022e98577544435321e9d79", "a4b5c5a1a29d5d609d44bc9c29df0d96a30cb68c", "d7daf70491eb407db4b951861062edeceb8ccd6e", "57f06c0bab366438ebea9ea047678971653923ff", "702ac86ca51e18a3a50ab0ba7c379673c077d97a", "8044b9683d3fb609365fd4b053712ea7fa2b4e22", "ce06644d1d71e258363407288638ce76b561fadc", "fab6e12a913223b69e1b9f0672df6c89275b1ed0", "892b845bbd1b2eba8d014c852ab5b8a8dced8efe", "fba6b4b66aa4dc04f96336ca94887a669adf8e49", "ad46f1de2001474cce1047d88703f61580c8a5de", "3fee310b47f361e4d7c298679db411999847e375", "99cb716cd7687db8ef3d0403c85b1ab90869800f", "1fbb93701bc417f7b7e3273f05dccb385826a984", "3bf0f03e37929eb40de452a1e2773fb8b77ebcc1", "13ec6666b8b722ad9eb68a21a302e3f2f1ab4df7", "23e1746c449e675a4ffa3833b0ac5c5a7b743f7f", "243cd27dce38fd756a840b397c28ad21cfb78897", "596e101d08b1972ca53e6ba8a5696eb8db5a3d55", "1d56d3b129e2671d42f656114a628e31fb181965", "b610e52b0a8fa11af3d01944c0383f015cade9c0", "439ac8edfa1e7cbc65474cab544a5b8c4c65d5db", "67dca5503eb4068c6ed5be34b7488a4aad6686a2", "15dc99e91da7c6cf808d9481ba4a9dfc5914bc63", "c253e241ae1a7a3fde79bdd62ce5095a0d18ed71", "9ee5218a2a74fafbc4227f6c7c587b72e141bd33", "2af266cdba82b168bc61408e5d5e9141540ba028", "c4abbd51777785234d5b77734a281d50d2606441", "024b7d7b1961bc4886c7a5c8fbe45dd27cd14384", "4e608c77043f56b0abfb2760fb2fd2516b5412b0", "654d5579fa954887f69333de752eec78b11a73d8", "763d9eef06b454d722c88ffab8dfb9538a57c06b", "b8d15b12418569089c786e3754e169bc43001644", "df3a01b4a962e3657cf9126cbceaf14899852499", "476c00f8da4ef04477ca7398111841e2eccb6110", "932b157ea4e554af580124b5575097d47fb6a707", "e8d0cb340284ff7d97fb2d65556659a3e4bb0fa6", "3dbb2ca6942eb49538d92823fe22c7475e866ca1", "e994ae6b25c082a541cd68354ef4e4952420f705", "3ed22ecc6b3a4c89d07d59c21b7050a277e4e950", "bacaaa8e59baf853bdd0b3d5f8e3c352c9be8e98", "b717c61f6a1d7c65f4505b4aa1d199e851676c60", "0533987210ba1e35037d6e5295e288ae2421b36f", "842e42d30dc31de1833047c268f0a5cdff16f2ce", "d8029237cde893218d21ba551fd127d045ae3422", "9ca4581dc2b2be1781f46f94d6e597c934e55f87", "92bc5cfe5d0492c532e7d118a467104fc53bf487", "d0933550b75237c285c8bb2393185475014dbc2d", "363f973cbc1e46c6607b945f9ac96cb4a6262c28", "f984a9bb5c6e7b8a055b810bff468d7f8d80a7ff", "2ec393b4fa5739c54ac9f61e583f5e41cfb2687c", "606dcfcdcca767db34230c4798273565a1235320", "58abb5001087f51dd2e9ab17b9fb8fb3567988e8", "e29a71bbe4e999e7375a3e847cd2b86e5db4b7de", "6603e7de5b155c86407edc43099b46b974b7f0bb", "7d337edc28b85ecc07adfcfc08e14eb0508dfe74", "0da611ca979327840161df87564fd07299c268b5", "2baf54199b4b0047f3610ba691fb0a718dbce97e", "3130eb9bfab5e5a095ab989ba3cc6a2ec62c156d", "def897862020dd63498a5ade81141c65582695df", "2fda164863a06a92d3a910b96eef927269aeb730", "fcc6fe6007c322641796cb8792718641856a22a7", "f61ebeb87ed1897f85bb37419f67a589fc043055", "b259f57f41f4b3b5b7ca29c5acb6f42186bbcf23", "665403a0ff78a1d5b3b0c5adb66c271dfb663152", "e66b4aa85524f493dafde8c75176ac0afad5b79c", "9fb3707a0f90c6620251d202a972a2c626dce976", "0297448f3ed948e136bb06ceff10eccb34e5bb77", "78102141a1b78101515f93385e7b71a4aa1955c5", "ac9a0997267d7c46a396ec243a4903276d986b7b", "e59a68c328c69c294991f87b741a5d4e952defba", "fde5e4538967f325916c1f944242304466edb41d", "02b1a5d4b113211198e9c66d51153eb63ca680e2", "61764c068ad7d2ec988e6ec315d6ed2ed7489c2e", "dd49d67fbd69ec9bcd0bf3e8ec46c67404dc4591", "d951552faf169e62bfb362f44f471020faa2e6cc", "354dd9f05094d4f45a330e81d79c57941e968936", "479f44f9b4c401327a721550334b8d491f6b3f16", "d5d3c1b299e81b4ab96d052f8a37013305b731d9", "837792b672a3a4a06a22b2c26a8ecd3812fe8330", "28b6adbc5ef790413431cdb2f512432862778b3b", "46544182751970a7053bde08f34511667b28e346", "8bfb2803f624815c7454752da4136f0f3b9ec431", "0c302ac0101545e1942aa6c3e053c0185d948ff3", "853416c2a96ad46bdf3ef044f7a11e19d86fe073", "1992331f9e3e9158a2b91640b862dc77f9df0eac", "66e06455ca017f9de9a5c08979e997b643f46907", "df14ef329c575eac56e6429251a439fac8d67418", "46836605c2ef5f78796644da3d385f66825518ba", "c537a1b27cc3fbc06a62b6334f2953377736220c", "252f01e74cc32435da52a42229c8102a88698e3a", "82475afbd13452349777c73f68c771b23e15d830", "7be0f06e5c98a0b38edd255d7489c5bc66eb2eb6", "5e55d9dabe06ee6b4d4b31dfd3723f6016a6c937", "54eb104b9b59315a24038e366283c1034c30ff69", "641dfce99363f8f75b0e03f8578f6c413eb65591", "00763a20ee6a419ac157891570a6b4e81644ec21", "b9436b3db0f0eb9e5c98e036c7b503a9f63ac2b1", "0dd151d003ac9b7f3d6936ccdd5ff38fce76c29f", "026e3363b7f76b51cc711886597a44d5f1fd1de2", "6e5a9fe3937fddf09a5c2604a13b9692d30db176", "f0c3eca0114515db991a3b8febc33c6f3ce84f35", "cd32ea4eae50f60584fac6001d2af22a8c1d8648", "226a88038782ca4f3f00330f633a4d3d529f89d2", "e457ecb6ca9960c13e3c2c17fb4d79b20f879f67", "3a53f87690cfca49f1899360650658aeeb0a7056", "2ae1c0d4898cf7d5446039e639d95a7e27f4d957", "b881a0bb227052c6ac1f6f584b27ff05b778e937", "bda201e2a941def8572e8faa42c988eba3f6c990", "c4441d8cc5f84386ede4ca306bf3e17bd4983328", "b6408fdce06c5ffd8d7141fe872cd677336e80c9", "2c86443519b46c83073b17c6a98da0fe781a2730", "1fed938f55a713664c53d65a655181c9c3124c7a", "2d950a3e8c74efb08197bfcb9c64a6b111f6bcd9", "01b527641d1f23cddac932d9fe20b44ec39114a3", "90c80317fa68784a3fe4fc3136bb188895b09fa4", "c40bfdc874cf4f8d3931f21e3975054ce8a75513", "09109a5375d8e2ca752bedde17ba5acad1df61cb", "131c5a0367cc617c67e6e45586d7fd39b7408e3d", "73f1d09b56a23ad72da1373f062ae902547e2580", "0d936bc32ea524a15c1504ddb054d2006e2b12a6", "980d4a2aeb7e55406e6784340e846883b2f77021", "c2cb401f73ee13f35368127939c6db8654aa422a", "26c8cac8c6320bf49e2898e46bdf1504333fa257", "d99c1941131cfd2c5f4142458adb6b19a8293183", "d4f34bc1dbaa06bcaef01f182b78640afc15c058", "1c8b26d593bef51f2f56c64acaae65d8ee40b333", "06060fdd2f452fb512f92b289b54fe2ae2fc455d", "37f8449e776c9b8e3c121704590d24663001b3dd", "3b63c3aef835d9fbe4ff8b20e797340ebbf2ace8", "5e8e3d2a79537a6cd0c138545bce63ddafaa853c", "e6b7bab5839c991c30d7e7a6d1df1adb97d81775", "3807f0c1b7360f99fe2d30d2fd1722fbddd276b0", "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "a825364ada04007221577d305cbc42d413239f03", "4afaab229f78c7ae78d7ee7a51695e6d0fadc6c0", "58a09b1351ddb447e6abdede7233a4794d538155", "179cab3d5a800f846225117e708e8d7c49754828", "613239a6c0188a60c9fac6772572861112a385a9", "dfadde5a8b1b225884ae2d3a9a0cac74fe0c71b3", "a9b18f753bdcc8ed609fd763bf76cc20cbd754f2", "e2c38989fa080756292b5ca9d9f7de3f746590ea", "8dc40f8d9ea4de3c3d144d76b1a659a5b8f2cc32", "5377afc065327eabe7e469de691b58a3e49bb06d", "236d534834d31398ba2e207ab83945804fee3882", "976ca502622789fa2bd8a135e7a53cb999556909", "fdfff58f62ffe7ab76c2b2cc32ea20099d197194", "d9fab99e26c52eeee65ee80b29e75d2b4724320c", "bd76a71c6b1f414ada026ba82726024fbd58e9fe", "725b4d2ae7de22856200d1e4511e1d697d42b37b", "0b1de7ead4c3e75a2f164855fa5a9a5f7ba1c951", "d33f75bc05bcce1779fce534da86cb039d11ed26", "c1073b5ab19f6b02a74279ddee33c830f49849f7", "87ba8ea7cadd7965551c7fa7b7c0282d0d4d9773", "06d6015a19ef180cb11d9f32feb9e6adfa2799f5", "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "df350766b53d4db23790a0408b0d2c7a185cff74", "f1498ba94d64ee221e27b658bcd407c160cf0897", "73def276518d88b8f6ee4e578e861284473c36e4", "c14c86ef7e6d213b0f139b7ec66452ef01d52aca", "4135004c75a361c91311314fc588d229a7107526", "2af04f9bb4950afbde0060c347c0b4857ce8d3d6", "ffcd7ea65af89d1e1bcf004f39b642932b081255", "48103763fa317cf769e783966f02af9a18030765", "315ac7b1c160eb593b6ce80d46b4ae2bcab49e12", "a2cf2817e0ee69fc39a1d9bc1066f2f6fa66b40a", "6f7d4c572a33087c7ec64e40223d658fd48710d6", "86e71e8cb5bd15a6530cbe684be0775249665f3c", "3d8a4533197c9d765f08a177d147d30251f76b7f", "0cd98be65a1a645f3c9618d9920be3a3dfc77574", "2052bdb3713e818d0a6d1a5596526ddc28da64d4", "febe8057efcf51d189a1d85f1c32250dea6d13ee", "0599c0c33a99d6d261ed7e93a7f727ba8bfe0e0c", "922b80a8b504b990880058cfac1096f313df556b", "133b982a3c8f5ea44242f44fbd47f5e684664fc4", "7ba3fa3ee663487170f7eee19c82274d9fb78780", "ae0322119c8d70ba98f32aeb205393dad8dd287b", "d64bf1a202922067ead948629c4074314c78de8a", "41455b578f593d840f6a942cad0dd52212fec0fc", "d2a3ca86969d8fe99eabbf5a7943c125b603cdf1", "32c3dcf95da2e54d1635f06f5714c5099cc6034e", "91cd2360f964406d9ba9ce3ff1b99a9d5d9ce2a7", "187dc62f5dd88d32db9849bd364abffd1613be9b", "604de7e5ce863d10d6fa191a000ec4385ae8dd8e", "9476167d09f28d9bddffb9653130563ea9616150", "66316822e626b4af8ef2547f1ba3e7735c24a203", "aaf1d8237524ebe671b3e56f803747b7092dd1f8", "95e35ac9f097290e8637a8439ebb40bb9ba4eeed", "5523c9ed32d2e5acd09cccf4f0370f9dd3d9a6c4", "9d629ee73070e7c693ae6924aa52df129a127b33", "39a6b9c8d45aa3bf29aede1ba0d4060a4afb834a", "aef3bcb3b09f708edad335cfc0caf8ad208d4741", "a9cad1a4f13f77dad9d989c4f146b2176e4eceaf", "4966961b76fb5615ad3e8ed27c6a859ce08f23b1", "19991e05c949a1279bf6946a42975fab5cb871a8", "12d5589c1aa6ad1edfabdf8e2a26571ffa932206", "510af05a9fa7abadf5ae510c8edefbee04d1e4b1", "7cc2f74fe23b38dd91a805a991ccb017352d33b2", "2693b02dbd7cada420fb913a36b9a826ec2bba5f", "5b7c0f8ae03e23573049e71329a4ba4166d016c9", "24816e5cc4d6df4a4f8247788d13eea2381594b4", "4c60815ea05ff4b9f7301b28b8dd6017d64877bd", "cef336eac17173b8a5eaee0074bc95333c03e0d6", "4cbb370f0bb6af0052bad6855cf1d9776376ceb3", "0324567543cde9707f7b90292f569ef88fefb087", "c72796c511e2282e4088b0652a4cce0e2da4296c", "cbd1a47356d8dc1c46d569d55eb803945193f9b0", "773a3ef780cefd6f312f52569f2b28384705cfa3", "12677416c4ea3a07e738f34d1b60828ec32a8045", "a85007fe09e96e13cc30992ba19d71cae75634c6", "91027fd707aed714c9095551e3d63b3e18ee138b", "20c71ee8275969a7df881de69b8d8baf88f1d120", "847306581386c4731cca12d0b636b1b10d287369", "2d9afadb9a91e87a234fa1f495191f4c2b7b2067", "226394b10ef4d1fb1d88791f87a24aedfdb52c31", "9afe080ea6b9cc46f0e99cb283c265f3e6b73408", "1fd0871450a8f52a2419de0604f20b87c5f66e47", "760801ffae578d9f258957dfbe423119f7f81c6f", "222625b5ab6fcdd1e95b0b53105803ce63138567", "d0eab36a4c76da09d2393ff549c2d6de2106a4cb", "ddeec5c89d27acf8c122163b2cc1e55c6fd74336", "e73f076f66a5e4aa76c1b6d623a06cb88b599b85", "5f2669d0fce6223653ce0149f96833011a1d6bba", "4c81789b13b016afc5ef47591268533674c2a3f6", "1db8bfaf4e74b68f5501642a823e5b87dbc1fbfb", "b82ffd6f490a6ff33908ad3370bbe18330a8243b", "7de1d7b30ea40ee64e1053c5bbdc5142674683eb", "b6a2f098e1ee50e1627ed0a7c364996a0d67ec2a", "49822ae9a24ef9237a32c0b7eb60e12597777f75", "a315e5dda09b03a5dde929f00a3996d5a53bf695", "1c4f47cd1aaff689aafda8211db9c1732225b1bc", "6d3d975bd07cd18434a637ce22c65c641f1c31a2", "408814b17337ec901f5960069f5c447a36a42524", "ccf7b07a4631fed7fb5794d3506a84eeb3d228d7", "2551721b91069d8eff0816da87a29bb133de8351", "0fb7d5e228b604ae6136328271fac3d18c25312e", "8bb6d7803839de35eae479b2d04453062add9ef4", "8d6996b6c683df258ce5759e161fba79103a7c13", "19d189e88b8ad20c7b211f1fea5fadd87fab56e6", "24597f588ec766081fb263d32a04c602ca78db04", "b2026f7ba664e976afe8d83560d7538e47e9af5e", "e8a4e3b3af90c84ebd6c40ad759a80729a81230d", "50582050f26dd06311b7060c29bd73a40fd61c16", "18dd7bf12de78f8d9afa4d107ddbf814d5a8ad49", "ea847c12d907ffbf5216eb30778669709e0e433e", "d2bc2c3c933131c1e4b4fedd5e3db1734244b220", "5467fc08f86538c0a51ecbc09bde9cdba37341d0", "c35a44ccd3604e003034f6fdbdf8b1427b25b3ca", "50457c55b318dde8c9024851fdf7e5ce3a936f65", "ae2e46a10d6dd83883809aa5df766050f83aaa91", "493abaf881c3a6e9d3bf47a8d6e75abb4e75f557", "75a1406d26bc6faef8ffa3da00fdf6b7621b7754", "9c45ee00eede65dcce4098e15b7d005d9775c494", "246eb49fcd73e2dcd19cf3a76a06e4fd895a62a4", "d767c97af96461eac76fb897a0eec35804f0398d", "af283064e5af079a4a49a8641a2e4cc08e583a59", "47b0e2fde37b3d1810a5b5a19597765fd76c691e", "7b05abdb4a842106c1fe25019a5695982ac4b2e2", "6e2aef91d8a1457cfbea51f92bfc04956a289829", "91f1ec4ebfc6f538247de1cb2bb3b5217d34049f", "842ff5f014337c25a0919f5d8993dea8533d2cd9", "500ed54f2537e61a14e1141b40cba9373a25e51c", "bf2248b03eb586c2249996412b336ac44b597fbb", "970b0e6e29bbc7bafc0e6a387492538c71253304", "4e165914c800d5569fd22cd69ca2ca7d92ffe705", "b6aaef3be3e93a5429511011b3fcf1c768521efc", "3abbb484e93e87ae661a1a5c26990c61908398f7", "2eb28035531fea58f17b141e325fd1611939416e", "6cfec3c50622f3e5c80b3cc98744a05225f42066", "dba7cf91feff6bdf26e9a3940015fd0c0cdc6520", "9cb5563413dc00dfd24121939fbe27308f4ca031", "1dd26846e8b42e2da92b5977f8a6050f2f92f388", "c8ddeeea803e50cab2d82f6d3c7f9e08b5f51f4b", "90a545980b3bb2f001298fe5091847c9738be8a0", "a95436fd5888b81441daad9d3194bca7a9568efe", "7397a8ab5cdfed63171d248f664eda919a9b51f4", "430147c2032add4793d3444ef77020cd2420773a", "8dbb08fdd8827383ce74dde937b74cf21b687cbb", "1c3ca2dc3bbdcdda1abd78d40dcc2e6945118e60", "8e7886d42fac00d0b2ab3b0ea7bbb449dcc6b690", "08ceef43c7b333b4417bf1d863c674a6ce5c5ff8", "e3c65a08fc12183a57a04953b6fc3d5e447c9a47", "f0e609a2e11a093273c0d8e3321e7b20eaca46e9", "7b28725e63a038f5eb4f25c69ecd3e745d382c37", "bac748bf117cb5b06037413de92378b76ff358d0", "f1d3e9335b4fe5c514c7ecd9e0d9bf3c864454ff", "aeab405df790f12470f232fe475f7412ef324655", "ad8b8eb07491b3e771e873703bac23568f134bad", "1295b038ac6903b0ad2cee280bc8ebbf4590e943", "3687612a7f6a3149e2f47b67a6b9fcb516585694", "ce6d34010f04afa4cf3018f51bad8f480ebc759c", "c33b61e4c4cae519fc65319ec0305e1b10d17219", "0f0fb26d8999fecc362c0bf65a62c809061c5508", "82fc08f5658e0e37aeb36177717621605e11cda1", "e39fc6ff1145924c7987ca07c1f2df80577f0646", "11e79b96cc87794592c0aa8f573d440a70a9a941", "5db584b00dc31ba387585b6e01c3bec057761b97", "dacb596193e91f8738769f8f4a637dcd78c4255c", "ade32e04dceeaed72c3e99a9f3698b2fe01c9863", "ef88a02f9b624fe34f4b20ac7beb9ca4f44afe83", "595ff304aac871abcccaffec7c1d33c3800ddf36", "37832573b77b87f6ea0e6ecb52a8b3e6c4e05728", "57301bbb63505d2eb402dbfd4fda164b820692c9", "4fc3bff4afb46a0bd62d151563711891ad7a7b58", "78331c884611987cf62a2104d52dd3ca9efab88d", "3aec4e2f04ae7b1d61bee6c98c4e01f6964cc322", "86163c4270fa1173640e7b1f526ffdb482f45f17", "b9b5866e4df383a7fbb780e8f822b905e3fbef6d", "041c7875af1e3eb0102d06fbac44e0c1591daffa", "754ffd18b106e6ef3644e3670faf28d798b841cd", "dc4b239e76bdc6fb2aba4cc352f0ff5d2892367e", "a7887d32c86cda13872c5408713b21a27d0fc17a", "ccd126c1337d29e3bd366579549fa4dc04443fed", "ed510cce08500d8b3df23325ce122c76f3ddc11e", "34c8b940dcc94b23269e8eb5f0c4abeefc50ded2", "475e21ba0524ffeae04fc7390abc6f24ff1afd1b", "6dc8180b32848aa92e30dfbeb1cd28dd654a761a", "2b0a6aea501a8a29b5a6b757e89a8ea502e654cd", "9bda5f8659b3834369cbc52fe8f852c6bfd2eaf8", "1a873f5df77115471cfca5ef83e30a7a470ce0b9", "3e5ba104e9fce5d57751d4314cf32118398d1f22", "fe51fd153fa6dac3b7c50fe79e71123af5c5f43c", "0aa9b44756774085683d96ee98be2fe512361a94", "8ddc725db47560b2bda227226dd792f30abf9dac", "5b85073fda9df623077465dda6920176fdc34c3e", "9d7a3a47fe012fd78aa0291a672276affd0c6e67", "3bc2630ff97cd08a645ee8a08f7a48a260d2db5c", "980cf8e3b59dd0923f7e7cf66d2bec4102d7035f", "8aa41170a9591ff2e5e56ed218d955a4222101b8", "476cfbea95a21a333cb4f46a698fd8b1e9fac7cf", "070c4ef4b278efbfec743e4a578efcdb0aa9c85d", "163bcc83da66e29e764c762708e75e0df6a320ec", "a75d8fdd48512ff91b393dab07cd0a4f7bf47b65", "78a85785150b2b80eca826ba9afc05005184a7c3", "bb0f339103317259c76c9a480067afea0273e056", "8152c2edf74676675552a91c9d5b115c349598b1", "852998c60e4a62d0508de11b6297e6e97a0d3fac", "346d274167bf96389794646056b95785b78bf596", "474d9967b69f9afd5404686f16c8f53c1951526b", "8ac6d03bb57fa94967a33e54ea0fc10775a80be7", "1c40cb899fccbe98a2bb63088e02d6c59e87c187", "2c1cd58790cf07d5fa7f1f1f096023a993a6ead3", "0ae12653bf39dd07c5c6f825daea33845cdb6d2c", "84ca27f04b83da90a8e3020ef17316032e22f45e", "bd86306ccb6698e17f00f208cf4fbc7a0aae39a9", "ad9dd9d6a357059a7c9902f1dcb2842c90f32a33", "5d5bf8433aba574fcec7b4f8775909d11677b951", "037e6eba6b7fd0a0ef6919295b03c2fa8bea41d1", "2aca60ee8a43d88be24ab9dad373dd555fd080a7", "8beba00174b9db3d45dd46d9cbd76f64ceec550e", "86519cfb71135dd15eb6be3769052ef11e5ab257", "ff6243766e7e53e032bf9cee564b647307f2df44", "f676cdb17ccd5b65f44ce67677d8646b48d8939e", "a67e66e437331cf7dbb02d2a7296e9c32dba67d5", "a6fc29d0a2b1eedd82b2cd55e2d271ec49054c1e", "9ea1623c3f8a744f70d75fa29b8b00bb5ed13f2a", "9f96b12427e65eb00ca6cacd9839f21892ee55d9", "50b05b2491d5a5dbc2aa958c3f592969e4f694c4", "642e271c72d0cc7426deb3f0199b2b71140e4b24", "b911aeae42ee6bd56ac52e656c1f85186c3a974d", "4dff517b1578dec9155936f29aa9e8ca174e0804", "3acc07f7f8951617276cf99483ed02aeb0a6eeac", "c77bf2471d578707114d50d3e426df9aed70d1f0", "f3084731f770a2cda8350edef38d975bebf2ce35", "aa5ca83bfa1f3b433376b63c42d567ddd3370811", "e9c8594ce3b8c555df59ff32b1a71eb62722b38c", "ace8bf0f5d218cc6fd08e5a224f320e2244bd771", "fc5281e0e9da3b3acbca127b141d5ee92b3bb641", "b5d1a7bc9f89ba9e8d99f6b151f83a4ff9220bb9", "2b2cd0580a741d76dd80ad4b7195f6ae24dd0dab", "399e1b0b84d6b5199646892e8bddb9e4d7f45362", "17dc9ca88bb8f36d167af1fe672278c8edd09713", "77f1c87d8ad030be67666028065dfa4a109e0ed6", "ac43a881c0ab8af00ccfca7cb7558c7f816ded1a", "c10223c113b0bd181d957180f897633abfdc023f", "112b31e53037c5a17434524abc3ddbd1e05c168d", "1d22fa7f7ebc6cd8432748644f4a11930ffdfaf9", "1ba8acf75d84bccc14590251353b369cdd3bd500", "2e380f51c160ca81e21fcc5ebfab11e9d223c844", "7cc61d5645bbb96eb0cbe65d7559f983c13b4740", "d4030e1d9a68bc82e71b012edf965d9e355aea3c", "9eea052864e3f034b5f4b744fccedb90e18aa284", "603ffcfad879aaf559cac118894cd38666158f2f", "5df4b92f86698a8270f9fba73b87c9b97e0d1016", "fe5cfc9136f2156314ca20b19095b30704ca1117", "21160be824d97e66fcd7d55ed502b36d3e691c1f", "0367d76a6651613b5663d60900061cd090c1b78f", "1a3452c93f876f05ccc6f6735b16628dfeab7ed9", "bdc01c545a97127ebce9595fd92cc8fbbad1757d", "6dde7e3496954b55072432b71df279720c6ec8ef", "e06bbf346e2daf2413aced8200319018abea61dd", "b2ad921a42b68c88e02535204495ffa3ccb8eee5", "3901c04f0dc8a01243789d2ed00ffadbb2c6423d", "d7184f6cd7751fb8398bb06d04490d2bcb74cdff", "dcb32b8bdc9174bc24c74ebe49fba54c46acdaea", "8f202da799b15a80cc46919b4eaa0c67b088751d", "6323db5f1281376029714b51f876d58dd4abd4d0", "3a23e02ef7855544bf8f38274d2b523fff03e6eb", "831a87c47f9f46eb9734b9ca0ad076e666d76e88", "ec196dbede1772541bb9df2efeda655d377b291e", "99081a318ea8b552954e41ca7203dcf91fe2b018", "9697f045fc09f953db34454856c68746e2a9b85c", "2ce1b73cee6ddf4dbff391e29b73b35e3fb67685", "e4b5eef259a4315889997be830197e269c4ed67a", "a12949e11458a4c9433789940afe51411c18cdd8", "5fbc907ad8e765a00c26198ec954861d8c1f1bac", "7c2f2080473d25db73c53869337afb79d2135731", "7be7c9dd3c2c116adfe7bee55544bc7874c16a5b", "eaec5677f6bebba24ab2a0f08f82bcf374a0c3a2", "690135c90da14e451226b3a949fdeca32f4d5d5d", "22aa73243e6176e7a64f771710a0dcdd5dd141f2", "bf513a484bb1ba20185eb677b38e58cd12d03b79", "c3c7878da83e0249b6d7def5c0c042b2b144cf50", "b95abc092817c5ff8a84e8cc59053c4108e0176a", "7242738691c7cb7877dc364337cbf0394704e389", "a6aed23dd9b6cde15f026b1c0d3f868093a6e15a", "dfcae2db863381ea8047f78f65b25146e696115a", "2fdd82708a99cec2bcd45c2c7f337a9beccced04", "fa4544e5dce135c3d0517304ec9e620c78267891", "bc9cb21ed76e1852075cbee21cdf6471df288798", "1231e9ea7fe18e8d6cc7fd0b0285c3644b5e9bed", "bb77e65f70707fd36c247277ab0d71db83f83e33", "841c16f0e724fca3209a7a83fae94bec1eaae01c", "a1839ec451e9480a82585e59c2bb2465a480749b", "87ad56e06d48fa9b30e2915473c488c1b4b7e6ae", "9ed34ce4c6ca510a6027ae9eefc5dd0d9e0b876d", "1b6918015d0784135090fa0f0dd28a3a617fd8e6", "c133b741c81a5c3edc013851a04a5f92570017e2", "4fcb4872eedd92f866a665f2fac4efb3ad5735a8", "41edd975efbbc5af28971bc2669d9a1ae6ee8ace", "5b40475ee5a67a758f665957b019dc8a1fc027b4", "182df40034d937c74df0edb0acb295088e63f1ed", "ab2d1f43b4458856b71462faf3bf4e3613cb9a72", "68111cbb1441bbeaa6303c2a3c36895fec5e8ab9", "49944c8d3f202e96252eeb69c9f7b62ae0b70789", "070436dee4881edf2fc3c1d440364c0effc79c8f", "b7862fa0997201f82becf03bf8ad852692ceaa2b", "7f7452beabc21143e0e48a85da7d8d421abbfe86", "e0ad3408ed47261a9d0fbc2f037b395fb41b88bf", "994853babfbfb9edd78f2745b9f96efdb4b3ec74", "1c60a13e3d48c5425b08a775d40e0d92c9c581f8", "e8b6d398f6d5e31845b11257e2177e2b94b0ad52", "c3b03a0a9a76eff3859afd7b945912a447c88735", "7dbdaada9efe96b304e8594ff610559958d5661b", "e9891ca60aa39df5819e5c417a6f00d56335ffb9", "dc71d6c56aae3ec9f13ca0e7be745ea6c23a6d19", "72d2859df6813fe37544ec2eb81a5255c0e2c4cc", "24d02ab862e878a6e37bd38ef7704b2e60d32974", "9f2328931be1cf81a9ea14b35f3373b6122f0714", "fa0b17a01fe6cb0070529460f1ac511b308af103", "a5d77dd6ed07bd9688d13eac9d7848d19fdfb39b", "5c892db3c3959fbe6ab488df93c86d97d704f837", "5acc0330e82090502bed6fcbc18112e7ed43ece8", "401918cb0bfc23b900594fd94a57182a5b4f530a", "1db316f850ccd3600ce3526da4a611f8078ec33c", "580a39100e0d1466c914915a2a30ec0a57a94bcc", "1d29d5b91bcf501179cc57fc3c3e2e4e42bf168c", "fdf9c636f79f146f116bbca392dcad3b535cecb2", "0bc8849275aec0559b45afd2490f8e42f1502742", "7fb8ac1f06c894f61299e341ea556dee9da77a38", "273d6c307cae64e3f3813a1a70299205f519e8a7", "dba7817a9bd4893058e83c29581cb77a12f122a9", "33bd2951b7fca4965d9dbc2c8f97f5b0fdc7af93", "ec1d02288d38fa65541d71dc26be28be64415efa", "00cad8009b739be733b56a90495510f275bdc983", "426bef506eaecb8e18a81888c61131cfee6ebdb4", "9c03b3c1fe9ece847bce9a051dd094aaa6dcf4c1", "d9bb41ec9d8742eb77ce38e4bfdc9b8371f275cf", "714bf3e76b5469c8357d1b68ab58e9622a92ca6b", "27326ae43ec7a6a31ecd257171b8a338053946cd", "d408e80d0c5db9fa856a02d42657959a530174fd", "88b67e35eaa639fe1e21f8a4e0f0614f37317675", "24727e1b401752c5914fba5c935268e284c9f55f", "64f0ab3f2c141779fa8769ea192bd40b0a9529c7", "ef2c56cc84f4392d537af740abbfc371d015ef03", "00cc019886dbd3fa51a9cf31e2921f63bdbd18d7", "719fd645c4da6575ab0e774891ba30d7dfcc53aa", "856c6822980e0b768f071b1bc614a8c981aca2cd", "ba2aa291c1e123c61b2b11f26a6aa2351f6466fd", "1252b27c42bf095f1eccba2aee3765dab49647e3", "ecab74350042a494110ee2f452bb96a89bc146f6", "6ddb65ce430f8db2eb66b0a98ed8981049b3f520", "dc6a62ddb047bfd1658163b09757f8b3762deeae", "735d1d59ff8e01d51665fae8dacc9117ba28759c", "03348371f02301528ef7ced9879dcf341de86bda", "c12ee7293bbfa51def56456928eb82a73a1da1d1", "338d0087fbd3bb768e637b4538e6581220387fff", "378eb402cda5928e43644a8859be255cb3ee69dc", "da1b5f54641ac9a8a154e006eb4a06de55a71179", "29bd9cdcb6f3c8c7475df5918c0d87283ffa254f", "fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c", "d91576dc1bb96636edfead160932f4a9d1a43dc4", "83518f2075996b980d412cf64d833ae58cc8c0e4", "167895bdf0f1ef88acc962e7a6f255ab92769485", "76ff32b56b528ab83ef5310408e1d8e1ad3ddb8e", "713f7659eba67f12c0a3ce44518a11d9b748e225", "983bbc2ca8b7c77c480be8ea7cb00c4a7a0b7e7b", "007e64dce82512b65746536e5c29c57b1b77758d", "832ebccfecac5728d5c556a8398a0756ae242549", "444d165af18f474a2d0e56e981195374c3f304bf", "ef1d48feca1b4589e4dfa607e06e23f84d09d967", "6cd0cacd022b6c9ea0d2f339574e512b862bef2c", "8681f43d3e28bbdcc0c36e2d5afc6e1b192e735d", "afd806f33fe0bda3694d4a7039cbfe90fc71cacf", "b8874d79257a1968a7f7ff89d25d6408ec5c48bf", "e28c6b37d1fdd7f1721f251181de6fa53e578d95", "b3e1e5718bb2313fb888255d63e9f6ad0a2dbdd6", "e36e8e1fb9abec16f0430bf69070bb318197d3d6", "0511fe7e05e7871255ee2f8472c504e7459c324f", "70f6c967d01636a5e166f03fc9584311cc66669a", "09876610d463a2b40839e701d4ae8b7c7739e11c", "444d59c7a37db543bc23443acfc33b364d6df144", "10ef80d27640c2da1012b5a40d672832ecb5f333", "0eef84d70b0eff55fd356751daaf2ace169fa653", "50c1ab22f442470efbe3198f0b338fb699416bc5", "4287fca41f650f9a953a976136d0f9d271ac5c37", "955aa950f57cde6dcdd8d70476288f8407762d4c", "a7c88a4b6d575c64147a9eb2c79a57a9b3b54062", "f2408272222111da46bf175f6dfff6fe90104a9c", "41b1d0a7bdf1753288e144e9df8205600382658b", "242aebeac907a2fd575440140ef7c8b8bce29202", "481e0cb49c1c0340c8a4d9eb31859e3ccf04772a", "a64de6d29a88580d433f8c92c7335a654382de24", "38fe30323a12b211fe28e91babb8a946308fdc5a", "c8f129266f09add156935c4dde2ef7e6e55e9d52", "d6ab1fd03ab0726a731245f9f29463c40c6c7383", "2e2579dfaeb8906e4219271be8c7d54102eb7228", "cafe515943a1f502ac6f57e957c2a2044bf7937c", "e11bed7488ff6d889a0181c682be8a9b57101716", "513b11920f15a55ff4e3dd1a063c386b863d6679", "24da352e8f9c463106237b169b96f9472feea1f4", "dac2e7adbd69ae35009e143853765b36a1adb07c", "06b5aa440151a1c290d3840b6b533baec6b15439", "36c71258d64f9255cfe0a703545b44b25ee0bea5", "bbbc815f6329798fcc72c6c620499eb0d1bda073", "fde2d6d7ec8945a0348497dbddef033b8a7f6839", "bfcba38d563a4a75f69f892a9638f464049723b9", "19eaad7f48669d9e316b781183c5c07f0d867b02", "56f591b13087b8846c63b5a13e7eada93e25f16f", "83686b88e989bc6c9b66302e16546bde23ee34da", "77895618194b153577c0931335b73ff35e9759fc", "a77e462997e903fec8d831af11b7f61b209c27a6", "e90e01ee452d1184c65713ce84c468092dfb080e", "2402322ba48ab839017eef2e2bc6f7c1fa381011", "98f64ad55b00d417698c1fda2c9dbea5a91a56e4", "a1c7568f4757ecb25831e7528316e13731d819fc", "430e0b4577b7b2a82461241bb509b6830139b924", "abb217936f3cd357ccde4896bcc5d721972549b4", "3a962138ede25d81a6d5aa42aa1abba649481f10", "2ef005a135496cdc2029345f1ae00f809cc6082a", "0ab14fa46549259b7103b2f943de6c6ac44cef4a", "743bbf46557ec767f389c1ec5ac901ef64ffab37", "378e36386f8a19efe1a7852bb063f0378005a36b", "ace9ee37899da2172383dcc1b925efc345da0ada", "66129fbd2415a74c8b1063cf84ea5931b634d2a7", "a8d4b0fae3449e6ecde5d3589ae78c72b1072e38", "5bf1ad77389d78faf269391416e60e8d747bbc34", "10773068ad7bd63bb7e92df01499c29928ca122e", "a2c820abef6b656479d21c1c4749ac80057a0ef8", "ce4b47aa8ef7bb67157881a5f79f0a62b691c660", "8dbe2075aa92c231fdf89804390df15a480712ef", "0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595", "5c80383fad1f36ff5292817475af1b89327f08ba", "d97c4da8cbc6b3c5de06eb457acfdf5c7241a522", "6cbb82293c96dc37e0147857bbf3a8916adf1e41", "04c49b649b8f4336c1f38f69b8381249c81fbf0d", "9a7c4412169580452078e4a7ede7c45f9047d4ef", "ea924c634d6079ad0bfad08c2e916445f9944425", "50e6130232e496c13c90058207ede84fb3a2ebe5", "539b66c91f41719ef94f50e6d42ab470f2a2702c", "1611ec5db77d20637f2881121a0457234aacde33", "9409753efbdbf82e1c01a717ff98aa5d4c6d980d", "5ffd5fcd875120e2f6baf9b8ae95941e942aa5bb", "8672c684d241a1cdec43dd187854af6a893e7b57", "75d86b9a537ab9f337ca38c22ed0d2ace9d1a34d", "8c2c4e3db2de3305b1d25368695c258fea6a6076", "8a9681ab446bce92f01fd5636d0a1cbe23dc8a88", "17ecd1a68ee571c47a571c9236b8ac299046ec02", "286adff6eff2f53e84fe5b4d4eb25837b46cae23", "0662baff581198245aa5bafed3109d03068e2be0", "e58b4a2e3990ef8c8bc0c5506f93a2bd04bd6079", "25c57d1916c926bea3d92548f1c9836cffc23fe5", "a34c195aaf97c227a6901d786c19085872cd50bd", "da141e57fb9e20bc0eb90d9cf57b6fc4d873474c", "b15b11002ef3c30c101d8096d391d686e583caf1", "a7531c0a3d6dba42425b890a299a96e4693465ec", "5775c9f48566d239a2062e7f5e1cd70ae760221d", "1cd66a9d9158f65f9e099141189d9a00fb82b525", "8beb24ebe38e5f7e94743e0a9896d1a0bae707ab", "f1f3c3e240281611db415fe3507789430bd848c1", "3a9f8921a96745a958454fb27bcf1faa4a394ea2", "f705ce0ce4ad30d20808ef9709abb5c66c3ca39b", "0d6017c54d1f08d60d1423a3b84b01c387276387", "5ad4b2d6c8253aeb8fc4ad39bcb459a1f2ca10e6", "b92182c0efd46df91ae8972b0d905213df29810c", "9ce5da326d971e1dbda7bfb6bd8a7b92e95a5b72", "5520fdb531a27bebe7df8062dd5450344dea107c", "0624406fc381e6810004b1d2aa40e447e6f11a73", "360f97f6cdbbac3912e2a531c7a9c1542d7ad9eb", "0f5a6f93c0ad936534d9283ee12362ae1cea5676", "06a63e4c01afb6baaf6d25e481f75d13b84fa13c", "b213fd648f4af2934e76884cf5ac4531e676f7cd", "4f456675b4dd1711285aa488af232c5a5099e85f", "06928aef986877d04e9ce642a3ac71b6f061c638", "9cea82a817afd26e32a0ab858ca492023f22b103", "9eef5dd3e69f74049530cafd473b49db07e311ae", "3f221547a4382a26208c5e76366a3cbcdfe6d90e", "9ed56cf584eb66bdf576fcc58e84fecb2f51f547", "89f108814e97bb63030b4711d46413bfe39197b3", "fe9666d9618c043c31ec8b63f65c67fcaac59688", "4906d54807947dcdbf2da174fd0cd716ea195006", "8a946eb35a96ac65a1230a2798fa2f360a7e47e7", "f38cedfd93f421058682c30635a64fc0a2498192", "377513421f9470f34c77bf64dc2c798eb50143d0", "5acfacbe8bf93ab1ee17bd6f65667abe0d6e1b5e", "4b33c7446775ebd76c3f3c7bc8b6c79ce585aacc", "7195a7ae1f44cbca46e1b705bc3a8e91bfd780bd", "9294bba3ea887a16ce6332cedf40eb389b8aeb73", "5c6bb6bf7f3f267cc96a0a00752f914331f10a89", "2aa531b4aaf005db13ff93cc1bea7602d7fe2efb", "5bf2132de8be99547af4aee6013fec8226c763b5", "de85e5abc5d97092d879c48eef3d2d2b0c45eb9d", "96d116795b9d719c3b1a6d70b906c251fb4bfe09", "37b44827e806adbb579cb566cdd4e5913d3d0f74", "c55e8b90aa84e7d2735926f776ca491c5bf854ca", "c326f216fb2f21a360fe65592cb767ac24abf83a", "b272f86cc47024b1deaaa29e242ecd5138006199", "5b92fab33efb943503bada94735659e01f797737", "106034dcb2619b7f5db9fc039535a4f2dfbeba45", "96c12de46cff51ee368a3b4f5c8ba1784c628197", "8deafdefcc338264ad8ae3657d5246f056370552", "a22691f5f44862fc8ccf6581c5a0f40b97535c2b", "7a8ac613f2cadc6ae6ae62ba7e68b474721671e2", "df3178e77fa6655bbcae65c00b732ef240d99fa5", "b9770484cfb2d7c7b1792b766b04703ecce0032a", "46ed9623dae7b237b15f0c19d11664b979499302", "9fcb23adc3e0b2e0e81df0ed30abbdef0c3bb16d", "f8e61a313cd442451c46333951f92801f02f9360", "e0b37160c307ae9da9e35680ba45739a26659304", "dabde7204e23d0ddd96805ae66b7730ab0808f28", "3e1254d98dd63c7b19c8bc51c9c53ff24a4ed51e", "f900538a682788fce19bd90277e9355db406e38b", "8dc198bcd54ab73936711165a52c6ecc842edc90", "6ad42add5596183870ab8e13e46801e265e7e65f", "5c3002f5ed3dd441b5ba73ac68b1b5cc1dfdcb27", "be15ea7d7caa1468afba5a7dc63965e2eb54ec08", "184f8b223387082c7fd002932f2e880ae3d9dfa9", "6549acea73c2efd8c5bb5afc3a5779e8d6336a2f", "3340a809c53edefd161f3c27448c7e383c15cdad", "565626b628a290bad2c316f10f637831deffa19c", "9aba0dd0a960cc7429a8f8811e7cdb5389ab92d7", "25811285a1c1fd514b315d6a05adc2cb4abe9618", "6c1db70ac2d6fa130e627ccc5aeb17986979b9ba", "15ff6356e3552b4dd7bd6bdd65090d988a7ce61f", "c46d44143d1e0cbab34f120d65c3a869101c7622", "ac7031769c08423774ae4346f7492f6814176268", "52073f263ed8bef4792c68e3eb74f5f1d21810ee", "a145002396e7e119808ebfcf66ce215cd331552a", "2bb78d1b137e6374808542a7193270a9e7524724", "2e80ce889fa47bae8583f89d501a41e283c1551b", "97ed2639ee5cbde21caefe5e7f54694d7c7e9b44", "7cb5a4b88235250424e4b7450e22140dac9ba535", "ef7039febee4a8dee83d2fcb58696bd276f923de", "7e7430b5b6ffc470284b8fa94840797610d450ad", "cab65f07bb7edd5fa86612715ddd95d48fb1dbbc", "9e60e13dad167897bc61b3c52e723e515a3bc1ac", "921f217ec696d233132e28d5a55ce76acca49382", "4dd995d1ce2b0865cb1d8f27b0d8f667a3586c44", "93ac4d0824ab1824f9a508426860876cfb198863", "66ec00ca1fea6a4aa31358675fb653dc49165572", "bb288a5c653659411f95ef5db8e1ad652e0a8173", "e7def979f3f32399e880805d89bcfabd88eaa33a", "167efded92139b274b4ddf88aff92598e29cbb44", "bc9024e573c6fa30b622286c7d7f460e4eb6a693", "2962f226b658b13c358695bcd1f403133afa19ed", "86585bd7288f41a28eeda883a35be6442224110a", "1d6e0399ccf832585dcb3541f1b3ca8358f0c462", "e660453693aac196335f2ea31a3dead580acadb2", "7f8798204ad34d904f9465ce9e97050d0472dbf8", "7df082cd1bce65f6060825bc14289570bf73c4fd", "3ecdb65de4147d42c8227b6b7a70b47d91485b5e", "23a8dc98eb38039f032d77a209751b25d3106c4b", "37191adce691000583f4ec7d805323514268f8dc", "0f11d0d773544ea0d6585aeedb839e8cd8124d9e", "3499d11df11cbb35036f481231b618e41dbc2e9c", "de7bbb79384f81d0b3d28aa6531273ce240553c3", "ff73ac3b732ab85a38a907bf332c4d29dd203aae", "7bbf17225773aa811e015479ced7de72063c3839", "a40f614499dab76b477ca5bbb4614d6f1a5c8b4b", "2fe3161791693903f98c89429b275eaaf020e0d0", "a23a06394fcf366149eab6e71ebe3fe793284961", "3dfb4545704315a09039daa5374fd07365b02621", "8a158fb9380a6666b922bc7a00121b6bf4a5ab0b", "a248805c5d9a5626dbd4f58906b35d991e2aec4b", "728f656a4e8525112618badc15b2cf04669f3bc0", "5c23469cb8d6f8fa9d759f54070726101e22b161", "c62e4ef5b459827a13cc1f7015dbf33ea7677e06", "ef73e91b47c0043febed130896f610982fb89976", "3b4bee3fc38c9e36fec1ff45acb143c6cf9e64d1", "04964e2697778dc843671c7764f0f912e46991ca", "c190f285b60416e32dc53fabe896456d20b7acb1", "06feba1ffd596b41884cea6e8ef0da89b6dd2233", "1ac4951dac6f7e19148a7d66ec26d1c3f4ccb0c1", "162025eda333e4e927185a52bf9bd9c0c588919f", "533d5e62a983325cdbd44010018696ece433ea67", "d38559f22b91f63ec8a70190b6b7e04cc1e95d77", "6ca6ae194577004c869b2d5bcc7ed735dd2dccda", "7dbc14895390babea6f283fb9153bae94eab727f", "43554eb750bcce4b0b5e78efce2a071616c2f24a", "e6fa9d4658610e699c71ac281762abf471983430", "3ddb88f9294e962dfd9c99c5864b2b8690b56d90", "5acd67f9102db0bed8c8465a0ea0e85efe89bcec", "bcc4749456781335b0f94e54a76c29e303b3665f", "432585e8fa1893a03fbc4f1a9ab7e35c6275f073", "7a8ffddbceb14a5b5fb5fc52c47a4db366e47f80", "3de5550bcca62e0dd8520474ece51731f46b101f", "c2343501e55742a4edd367118b9045993ff96e27", "80e85e3291e39368c7cf17b2e13c7a1769c0a612", "de49836bfbe2c4e42147afa1d6ec4d89b09bbb83", "e4660f26d3d752349ec72c1f7ad6d14b13ab95c9", "3c709c648f40158af31199aeb0733890ddf2bc58", "d737b6f014301182e05738eac94fb97ff6a65da0", "5cfc1a29243aa3811f67c05cb77e73cf429a47e8", "521f688f1fadaaff81269040f13270e8ec1a14d4", "08a4b46fe7dea6fa3e1e73f51222325eb3f5fad2", "c868ccc443bcc9866f610883bf5a0f63079f89fc", "01f74b8fc05a44e479cfedf669753cce0e1da2ed", "4555cee0e8d34cce2498f547c0631955318da952", "3aabf747de0a0b4953cb594ddd17ed82fced1ff9", "61aa4d62657bd2036daa92012ba1557fa61be632", "808b03e28bb45bd446ee7e82f767e48db354fefd", "0d8cc3604f35dd5d00235c144e06dc91c489e11c", "4a333658f27d620f6f37dc54868cea8dabb574e7", "2bcfce1e68e9adb5f1547307e66a7b23c16d319a", "8d44861cfcb5159e0a1afb9d50f3d2c6083f605a", "ec49f49e518925782e64dae47fc5dd6f768b650a", "0cff00748f016e4689e713e258ef14720df86682", "0f3391e2229b9a3c19806ee2bbf5cca868a4f21e", "ca1accedbc1c698c03e9835d9f960c40e9d3ef51", "667f297e630c0073e692d232c4a6cb00d226e278", "bb0ae3c0bffb07e5980e48e35fe24b71a13855e0", "09d954e980133014cb4dfe3f6b1444edaa099c97", "d51e4b2425c07cd26813b3af646762ff45682ef9", "0329b7a1694b53d845242cf1e923864742d815f6", "3a0969900b363a7c52a5995d894d45dd6c6c01b4", "2b212a9416027dc63273f9e29d93230d837abacf", "27962faaafbf01092da03130550a70e097e1dd9f", "ff1b253636c878f5b464a7623f36242327e6b485", "61f83a5825a6b7cd3da653f77a8feb7146dbb1fd", "d8cbb5872300f79806acba6cfcbc7225800f1041", "f8b61a8783ee8f10b5a62b484107b3d2bfd059a6", "1429ed6d33341df1670db45356b5374a2fe8a636", "ef218ea1129e71bfdf1fc80b01d1dc89d76e0aed", "928afce3c0b251601ad9e0a77a6540bead4de8ad", "21948cad3c7659807e4243944b97ec0fd5428fe0", "c5484a227f52e73481fdc453d74bd76675b8c943", "e4075f168bf5fa596ce07cd174cc553bd6fac627", "639aaf68a0dee9bdd2b65b582a42a79ffa5e4875", "d331099a0e527bfe5f74c74d13c65b45fabcf88e", "cdbe13daf4a0421dcdd306ef34dc09c1168f800e", "966541dca2aa4fe5ddd1a371a1c999073fa0d737", "5bca2c751526665469e9e405d6143d13e7472f7d", "cd827a9dbf82240cb711f049989decada01c8ac7", "de287480b9ab8dfab1c49e24e5517b0a3c55203b", "db3814e155e77cefaa71016b0e5ebdc6be34a925", "c5868f6552e75fa747f9f70539d1b7736a5b076f", "7dcd927b3651d9230f074d19a9b65d1c96fc4604", "b4fe210e55fd844ebef2b87a5704ccf0ecf37782", "70d0aeaaed41048f5b67c676a6a4027e889263f5", "02c777b3683abcea10f6cd4e7aba1501bfe23f9b", "d92fb4fed35d85cb4d5ebe385a611f64340a62e9", "753383995df41c5d1e64785b5164035fb4edd912", "9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9", "2fdbd2cdb5b028e77b7640150496ae13eab05f30", "f7ecc9df67e9d33543c68fb150270e9f7af8814a", "8835e24ff3840f123a8fcc846a507617cacf7c01", "43e77b5157b0fa0f365808e26af287c3164e002f", "f15e07af45079733c1e1ac96ce158c636ad450d0", "e4d4f9e2c27575e32f010fd93067cb26c9d315ae", "09032b7d57484ae98111f461673b860b1fbe3314", "a84eb23638faaabf7f156c080894802385957f25", "298f1bffed274e890e0a09b38cfca42020fd1462", "1e1ab5643d4011695cdba52b7d49908ea6cc67a3", "22355c1b0a8af6b9e1cc2ef3fd5dce08edc48dd5", "04cf5b67fa4623512843acfb9f0066e5c11b8887", "93a6f0f562b6bd4cf71829612c1af2feb160dedc", "13b7b973458e12413ccf3df7174bcc56d1a9b070", "0933514e0c28a1b2f7305a944bc9c70718da2448", "d7b850537ccf33cabc2f0b231553aad79ad43aa8", "df06d165b107318e270e59f15fdfe7792a49baaa", "53bed46ade7d09af5301a730ac147d3d25329f4e", "fbc0e33bed3bba7eff9bed2c31f33da793120929", "2f62e445470e453cc79d1997173aac45375a1358", "708355d319a88485fdbbea3524104982b8cf37c2", "3ba79761192aa4bddd3342db03aa8187516c0fab", "d88d43504f2be7e26ab1ec731dfc8af6e407aa59", "d9bb75374f8ae582b42ee47c383b31f46eef63a9", "c0992975eafd94746a4c18a0a2ca252044fcdc64", "e4972e6af450a5ba6b648684d6953e789bfc18c3", "275d19040241b22eb15dcbf51d3c5a2e0bfaf385", "90c26eca18194e23cfd3c3bbf341b133e4bf5f6b", "b0554290e1c1d19ee5378485fadd1ff99c31bf2d", "e6348bcc61f49bd19f9eb5fdd39fef2d390a0f25", "c7c005e7875582e0a207cf1a48ca4ee51e073580", "775e702f8918f4e788ce0f30050525bdabb41bdb", "2f8a46540740cb04bb33d0385cfe455a2a907672", "77d0c4ed1c2d971b3e81fe7919be7a5a19309f40", "8c305b2d8982135da852cb005dcf602a02f04118", "63e9deb375f260bdc0c4308410caca0755d307c5", "a75d159bd04f5ff13aef1ac33abccdee27057d60", "58fee92d763786ddf7e4772e19fe1f97a1d901db", "b32f7c045801dea27d58e47917badb5b075ab0cf", "64605e0c28f0acbde52a29e6e640dd6b00ba9c35", "b69a7be6ae438090b7ed458662abcbde5871c4ff", "91e98c4a2164e1426724a9b0dbf780deec6218a2", "285830fcf77b1119e7603379750e5bab306ad119", "28fc7e119ec7d3bd0cf7988a0aa6cdfad1152b31", "c5d1cf71172bc4df3ef0ccc445e4e7e0d6691b28", "931d8149f6148a190a9a917e5815afe7a83c578c", "4aea2c52d7c99ecd4ee6d6ac6582efc71fd7d2f0", "b53259a81dcfa9913495bb47f62627c51e20f086", "7430d964331327475f62d8b1051b044c453ed660", "55b17c95d7e032a868a255c183dfbd8acdd308b1", "3dad8d0b5185503b3281bdeda10b9904ea19da50", "82a7f64280cbb3c90570b2aff0c52ce9161bd942", "951dede2758451825dceed238d356a3a984c3670", "c32e20258189aacb38b11f854fe4869ba239605c", "90b212c9fa764b77a228419fb97d4d091366007c", "b39d24fdabf49c95fd3a32ac37f9285ed247670f", "30ad88ca5b834ca78619f3938b5f8ee534fd3ea8", "4d5908a27f21d97fbe526d247fceae4c5bbceba0", "3f7ecfd3834d75411cf08ca17b0bc7ee0e96b6a3", "ebac8173e857a69c6dc1c97a53464913deb76114", "bcc1e0043567ab73969116f34752b36a33ad96bc", "a13dc9739e4637599359d792fd60d511ab8a016e", "86558c2aa93bcb4cba53d0ec1763376a74ca5054", "f916dd87bcaa9ca7142ced529b76ff1acbc965d4", "a68d2f331a4c3fa0ababb93958645a98941e99ea", "1de62c96f042ca0f5f7eb22c2f3cec4a6881b548", "e01e2b2d12acca616d01eb087d63363f127ad750", "656c05c742bf5e1a9583d1ddb9e80d388ac79807", "47bc34ae6f5dc104bc289ae3bb4fa75ef75fbc21", "0535c537a77016b0fbf5c38377ad76c78523b097", "206bb63f675ce65ec61a8bdc402af529968f0772", "ded41c9b027c8a7f4800e61b7cfb793edaeb2817", "519b5b120a76499ec769fb6f8e5e6633aa5f23b9", "07a7484a9cc566619ff9a01eb71bfa30ea9e4a06", "1335190de78e0b58fbf7a7c7c52fa1a15f14858a", "4eae5c4dda84d9a19f45b7f69fb06198a81bcbe1", "41b2c5ad11a3f55d72def07d44cb32a44701ecd1", "d64140198926ab48ed18aa462f376a3bb1db5371", "626004cbf0aea5efa847001f06838050d43bcc1f", "1b31dbc68504ca509bc5cbbfff3c81541631cf4b", "ff43d325169a324529f6411852165200b51c99f6", "33691b7e8c980ea2dea5b5d3d7bee661e9623715", "da11e38895b1ba0034dc59a629b949f33f092275", "e480f8c00dfe217653c2569d0eec6e2ffa836d59", "4d2c1610bea4fd70dac20d270dcd35090c9aadde", "2a748cc66531dd7f4d122e66cc0cb461d1205fc0", "d7d90d768c4770c356901f20077af9ad27efdfd0", "1d7a3f91f2496e0d1c9580c3d22ba209e29db960", "c3f22eacd32db1a92c65f8eef9e79f4bded71904", "608c5103ad8e745b98dfe92ef33b66b93f01b051", "6550389c31620b7c9bb8fd961c32b1d9b8430d35", "e09c9eafec429a541b862a2d645fb514267791d5", "c97cd49536fcec5b50962eaf4658a973cd85bba0", "7d6244527b7e310ff443496d0dfb973cb7d6f71b", "34cbb133912723e90a87e50da3ab805eb7bf6070", "0468b2b98f6bc190a84daa5902b094ca23122ff6", "f5f56fc9eb19923520aaef6703426552a713680b", "e66304d30125a7adac3b1c9cce345c164c0317d7", "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "1365d179232048c2d80f6f7f10330edb069015f0", "f91ac398724dd122c2fa165ec1cb779005f9f829", "55c769b5829ca88ba940e0050497f4956c233445", "336fe31c25c9128f43f2dfe454041e7c608557d1", "b7c7721e5f19e02ef56c17cd74d24476a53856dd", "819ff65fc6bdc9c4aea53b14e1431796c1b1d3d1", "d335f2713a3bd9a2075e29d4c59b804f392b49c2", "fbbc2978758fe459f05d749a0fbd1ef3a3ba3c6c", "d3c99ec84197320443127d2f2f2a8f42c878b310", "7eaff569dccba42bdba94ce7fd83e1d3669abb3b", "bfbee49e2c193fd0aa0f119bb2603450895dbf14", "8496f90e4a3f36840d32a14588b791d85da3c868", "55cb0ba0ef122ee2c9010df63f6f6e46eb1aaee5", "fbd8ddea892129cadb4a7aa89c19eb07dae9e441", "230ad73e8bd1d3268d56c66a83442d24176b864d", "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "fa23122db319440fb5a7253e19709f992b4571b9", "892400017e5c93611dc8361e7749135520d66f25", "7bc1e7d000ab517161a83b1fedf353e619516ddf", "604a281100784b4d5bc1a6db993d423abc5dc8f0", "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "53facf0d786366430886eff2fb7bf6da236b2899", "575141e42740564f64d9be8ab88d495192f5b3bc", "ed32df6b122b15a52238777c9993ed31107b4bed", "083a2bc86e0984968b06593ba06654277b252f00", "a05b1254630257fe27ee195ef05cc50ce6e41f22", "0fc5c6f06e40014a56f492172f44c073d269e95c", "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "2a7e6a1b2638550370a47f2f6f6e38e76fe9ac13", "e198a7b9e61dd19c620e454aaa81ae8f7377ade0", "64ca0dbe60bf8f8243fad73a2494c3fa7a2770e2", "f2896dd2701fbb3564492a12c64f11a5ad456a67", "3dce635ce4b55fb63fc6d41b38640403b152a048", "fa160e14172ba5b825488d961c7e6e7787a26cd3", "4551194408383b12db19a22cca5db0f185cced5c", "44fb4dcf88eb482e2ab79fd4540caf941613b970", "4465b754ac93e330facee245b4da0c822cc58441", "5058a7ec68c32984c33f357ebaee96c59e269425", "8d8461ed57b81e05cc46be8e83260cd68a2ebb4d", "6c5fdec4dfddd51babf0fbd1275f2f2fa6bbbff0", "2bbbbe1873ad2800954058c749a00f30fe61ab17", "0915800afce26871a8546c091c6741b220b90e05", "bc3f76d1816cca5c83e83b8710aaaa6119b5456f", "f1748303cc02424704b3a35595610890229567f9", "1c530de1a94ac70bf9086e39af1712ea8d2d2781", "d7a84db2a1bf7b97657b0250f354f249394dd700", "2facf3e85240042a02f289a0d40fee376c478d0f", "ee255aa41161021e44a676fba8090afbe4cb6c83", "3c6542295cf7fe362d7d629ac10670bf30cdabce", "22532c6e38ded690dc1420f05c18e23f6f24804d", "7c11fa4fd91cb57e6e216117febcdd748e595760", "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "aee3427d0814d8a398fd31f4f46941e9e5488d83", "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306", "fcb97ede372c5bddde7a61924ac2fd29788c82ce", "3e6be14e4d1a505184498ee0f40735821262dbb6", "2336de3a81dada63eb00ea82f7570c4069342fb5", "c418a3441f992fea523926f837f4bfb742548c16", "15fbb5fc3bdd692a6b2dd737cce7f39f7c89a25c", "fe866887d3c26ee72590c440ed86ffc80e980293", "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "29631ca6cff21c9199c70bcdbbcd5f812d331a96", "85f7f03b79d03da5fae3a7f79d9aac228a635166", "d119443de1d75cad384d897c2ed5a7b9c1661d98", "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "e0423788eb91772de9d708a17799179cf3230d63", "a7191958e806fce2505a057196ccb01ea763b6ea", "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "3083d2c6d4f456e01cbb72930dc2207af98a6244", "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "3337cfc3de2c16dee6f7cbeda5f263409a9ad81e", "452ea180cf4d08d7500fc4bc046fd7141fd3d112", "75650bfc20036d99314f7ddae8f2baecde3d57e2", "6ab33fa51467595f18a7a22f1d356323876f8262", "dad6b36fd515bda801f3d22a462cc62348f6aad8", "b47a3c909ee9b099854619054fd00e200b944aa9", "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "b234d429c9ea682e54fca52f4b889b3170f65ffc", "ffc81ced9ee8223ab0adb18817321cbee99606e6", "42ee339802ec9195b2439074e5b7120e74ad79a4", "0c2370e156a4eb8d84a5fdb049c5a894c3431f1c", "14014a1bdeb5d63563b68b52593e3ac1e3ce7312", "00301c250d667700276b1e573640ff2fd7be574d", "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "48cfc5789c246c6ad88ff841701204fc9d6577ed", "bd8b7599acf53e3053aa27cfd522764e28474e57", "c29fe5ed41d2240352fcb8d8196eb2f31d009522", "b84b7b035c574727e4c30889e973423fe15560d7", "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "81c21f4aafab39b7f5965829ec9e0f828d6a6182", "ed70d1a9435c0b32c0c75c1a062f4f07556f7016", "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "47a003e6bbfc5bf04a099ca53c67ddfdbea71315", "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "af12a79892bd030c19dfea392f7a7ccb0e7ebb72", "cfa40560fa74b2fb5c26bdd6ea7c610ba5130e2f", "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "6c6f0e806e4e286f3b18b934f42c72b67030ce17", "0821028073981f9bd2dba2ad2557b25403fe7d7d", "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "9cb5f62995c9b5413164e896294ac695413823d9", "31a36014354ee7c89aa6d94e656db77922b180a5", "fcd3d69b418d56ae6800a421c8b89ef363418665", "d1b5b3e4b803dc4e50c5b80c1bc69c6d98751698", "7c8909da44e89a78fe88e815c83a4ced34f99149", "1e344b99583b782e3eaf152cdfa15f217b781181", "be7444c891caf295d162233bdae0e1c79791d566", "ccc51e8b608213fe126b1d2469cb72de0331498d", "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "f81dd3144957e3cda5a798529d858898d384f121", "16bce9f940bb01aa5ec961892cc021d4664eb9e4", "2b5cb5466eecb131f06a8100dcaf0c7a0e30d391", "935a7793cbb8f102924fa34fce1049727de865c2", "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "23675cb2180aac466944df0edda4677a77c455cd", "ef36ca8abf0a23e661f3b1603057963a70e16704", "b249f10a30907a80f2a73582f696bc35ba4db9e2", "c49075ead6eb07ede5ada4fe372899bd0cfb83ac", "cce332405ce9cd9dccc45efac26d1d614eaa982d", "25bcd5aa3bbe56c992547fba683418655b46fc4a", "0f112e49240f67a2bd5aaf46f74a924129f03912", "cb004e9706f12d1de83b88c209ac948b137caae0", "0e2d956790d3b8ab18cee8df6c949504ee78ad42", "2bf03e8fb775718ac9730524a176ddd189c0e457", "939123cf21dc9189a03671484c734091b240183e", "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "f374ac9307be5f25145b44931f5a53b388a77e49", "f214bcc6ecc3309e2efefdc21062441328ff6081", "a591639bfcabc4091ff556364074c58521159ff9", "70db3a0d2ca8a797153cc68506b8650908cb0ada", "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "d82b93f848d5442f82154a6011d26df8a9cd00e7", "070c8ee3876c06f9a65693e536d61097ace40417", "13aef395f426ca8bd93640c9c3f848398b189874", "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "02d650d8a3a9daaba523433fbe93705df0a7f4b1", "8f5facdc0a2a79283864aad03edc702e2a400346", "d5fa9d98c8da54a57abf353767a927d662b7f026", "6a5d7d20a8c4993d56bcf702c772aa3f95f99450", "13f03aab62fc29748114a0219426613cf3ba76ae", "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "c035c193eed5d72c7f187f0bc880a17d217dada0", "3cb488a3b71f221a8616716a1fc2b951dd0de549", "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "19da9f3532c2e525bf92668198b8afec14f9efea", "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "7ad7897740e701eae455457ea74ac10f8b307bed", "ebbceab4e15bf641f74e335b70c6c4490a043961", "4a0b18fab67724313cafc35495af9dc5454fa6af", "4919663c62174a9bc0cc7f60da8f96974b397ad2", "1890470d07a090e7b762091c7b9670b5c2e1c348", "c8b89de8d63d68166b3373e451916bf35e74d2f4", "97c59db934ff85c60c460a4591106682b5ab9caa", "fc04a50379e08ddde501816eb1f9560c36d01a39", "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "b1891010a0722117c57e98809e1f2b26cd8e9ee3", "f2902f5956d7e2dca536d9131d4334f85f52f783", "7553fba5c7f73098524fbb58ca534a65f08e91e7", "a6e43b73f9f87588783988333997a81b4487e2d5", "997c7ebf467c579b55859315c5a7f15c1df43432", "a0dc68c546e0fc72eb0d9ca822cf0c9ccb4b4c4f", "876583a059154def7a4bc503b21542f80859affd", "9f49013657cbce384df9b16a2a17293bc4c9d967", "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "8000c4f278e9af4d087c0d0895fff7012c5e3d78", "23edcd0d2011d9c0d421193af061f2eb3e155da3", "635d2696aa597a278dd6563f079be06aa76a33c0", "c0b02be66a5a1907e8cfb8117de50f80b90a65a8", "05318a267226f6d855d83e9338eaa9e718b2a8dd", "cd63759842a56bd2ede3999f6e11a74ccbec318b", "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "f67a73c9dd1e05bfc51219e70536dbb49158f7bc", "963a004e208ce4bd26fa79a570af61d31651b3c3", "435dc062d565ce87c6c20a5f49430eb9a4b573c4", "2f2406551c693d616a840719ae1e6ea448e2f5d3", "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "3cc46bf79fb9225cf308815c7d41c8dd5625cc29", "1ca1b4f787712ede215030d22a0eea41534a601e", "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "87b607b8d4858a16731144d17f457a54e488f15d", "6e198f6cc4199e1c4173944e3df6f39a302cf787", "d9810786fccee5f5affaef59bc58d2282718af9b", "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "bc6de183cd8b2baeebafeefcf40be88468b04b74", "3c0bbfe664fb083644301c67c04a7f1331d9515f", "c907104680ad53bdc673f2648d713e4d26335825", "11b904c9180686574e6047bbd9868c354ca46cb4", "0c741fa0966ba3ee4fc326e919bf2f9456d0cd74", "8c5cf18c456957c63248245791f44a685e832345", "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "1135a818b756b057104e45d976546970ba84e612", "dcb44fc19c1949b1eda9abe998935d567498467d", "abbc6dcbd032ff80e0535850f1bc27c4610b0d45", "cc1ed45b02d7fffb42a0fd8cffe5f11792b6ea74", "a9fc23d612e848250d5b675e064dba98f05ad0d9", "e16efd2ae73a325b7571a456618bfa682b51aef8", "f47404424270f6a20ba1ba8c2211adfba032f405", "7e1c419065fdb9cf2a31aa4b5d0c0e03f7afd54e", "621741b87258c745f8905d15ba81aaf2a8be60d2", "6486b36c6f7fd7675257d26e896223a02a1881d9", "1fd3dbb6e910708fa85c8a86e17ba0b6fef5617c", "8411fe1142935a86b819f065cd1f879f16e77401", "189e5a2fa51ed471c0e7227d82dffb52736070d8", "574751dbb53777101502419127ba8209562c4758", "659dc6aa517645a118b79f0f0273e46ab7b53cd9", "6adecb82edbf84a0097ff623428f4f1936e31de0", "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "09111da0aedb231c8484601444296c50ca0b5388", "d3c004125c71942846a9b32ae565c5216c068d1e", "2c8743089d9c7df04883405a31b5fbe494f175b4", "cfaf61bacf61901b7e1ac25b779a1f87c1e8cf7f", "4aabd6db4594212019c9af89b3e66f39f3108aac", "63488398f397b55552f484409b86d812dacde99a", "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "b6a23f72007cb40223d7e1e1cc47e466716de945", "0e4baf74dfccef7a99c6954bb0968a2e35315c1f", "1035536e484a167e3f7d7edca8de9cd5917383ec", "c4ca092972abb74ee1c20b7cae6e69c654479e2c", "6e12ba518816cbc2d987200c461dc907fd19f533", "1f5725a4a2eb6cdaefccbc20dccadf893936df12", "ba2bbef34f05551291410103e3de9e82fdf9dddd", "2e27667421a7eeab278e0b761db4d2c725683c3f", "68c17aa1ecbff0787709be74d1d98d9efd78f410", "d79530e1745b33f3b771d0b38d090b40afc04191", "4aeb87c11fb3a8ad603311c4650040fd3c088832", "d09df8a2e7cfef667e7836a157d0d26658be788f", "2a6783ae51d7ee781d584ef9a3eb8ab1997d0489", "fa518a033b1f6299d1826389bd1520cf52291b56", "8cffe360a05085d4bcba111a3a3cd113d96c0369", "141cb9ee401f223220d3468592effa90f0c255fa", "834736698f2cc5c221c22369abe95515243a9fc3", "197eaa59a003a4c7cc77c1abe0f99d942f716942", "812d3f6975f4cb87e9905ef18696c5c779227634", "c5421a18583f629b49ca20577022f201692c4f5d", "7755ded70d23839e9f9eb348605c0a4dc336e95d", "76a0016ce19363ef8f7ba5c3964c4a0c29b608ca", "b9262301b11a4d41c8346626a86b603cd2e63992", "a84b4e391afed6bc4ff5ea8814093a57034d664a", "8cadbd63ecf964626d76a68b855781a6928859cf", "71f98c3f7a5b02ab193110d5ae9f9d48a1c5ec38", "7894e3888bf0bb4d37569457491517554872eab9", "fd8bb112b197e23183feeb6d1f4506d180caa4fc", "15f51d51c05c22e1dca3a40fb1af46941d91f598", "324608bf8fecc064bc491da21291465ab42fa6b6", "e42d055d59f6b5b0bf677975d21544aad26a5417", "ec096d96a9cb18203a14c06e150e67febc4f4265", "ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b", "72ae9384187c147dd17d53d0d23d2b604cd09efc", "67df6a8129ceb223ee0bdc19a900fb3c7adacf34", "7ddb2e298acbe29ccaea131e8a6475d451eb90ad", "148721b162dd355812fae94c8aaf365e5e2c3a79", "b95c8bf1fa882d3c2ff466bae1eabdc533781806", "8d34ab23d6770a6caebc2be79881481dbf7c64d3", "28a0e78922fb9a78afb04ac22745bf81e116f416", "6f99209b7b274e564e95622990ffc4becb3232ca", "2cbed30dcccb78ad18e3fedb30db187bf2ee09e7", "edbfbcebb14234b438d90d6dcd9b667e9071952d", "25764e6e767c49feb9a92e4a0cb2210796843c88", "99e2c2e7748173f16d51f524cf6add081a478a2c", "09c19512612df09b1e69c62d813f6050321bdee3", "1b1e6ed3627fe1eb24d0dfe19f5a1a14be48f8dd", "2b926b3586399d028b46315d7d9fb9d879e4f79c", "b1e7da535171de484992a0f1a4fb915e67fb873c", "03318abb2db923cb15dc28bec1209a02be308ff6", "ed68ef03a97b8441fd6a676e095b01dd3b5bc54d", "5d25caad6e551ca7b39c66f1f79998bfe6c71ceb", "2bdb6162beb1f66baefb83465421526b934d43ab", "b53a55d624269228a761301abab1d80ade9f89c5", "ef9677e5c7dbcc87940b11c3627db56cca9bbf52", "69511f2cf0ff1892758d360e1416617987a2ed2c", "7cc97a34c9a5c1c57af1ec48602ff74b4f96b523", "e05444e51d292bda871388c22b97400ed4cf73a8", "a11a63e00c0e587adf4efc1425c0651c242263b7", "091b4ad74ac5bec206604673506b19838d6a0c52", "67134d7bf637f7ac4e354bcb374d7c28c7740ab8", "592173bf31727dc67ae1c7927f1f82ae940b2b31", "265ffb2d850ce9ed4cfb2646b253611d07d0b19f", "4085e77b15bd340d9e18be651b37e7790f676cd0", "54bb3a17d536c7b88e56d294464f3d54de2ea9b3", "3093a57be04309e2380ac98b568dd8fcb8077ada", "a3b1bb72c1966c4b59d2428fb293c26f386c4f71", "0185dc40af02d6fed5a0786b9ba445d646f5c98f", "4f41f7a2f1f5eb5f26d47aeb168dbeb0f9ed453f", "7214d9356398aa39923c69650bcf761d4ab6307f", "57ce5856ab81a78c2e5db968468da3a8b45cac25", "6c4f34eee17d66677fd332772761f41213cdc59b", "11a34bda2daecad5f7c1caa309897cc9cc334480", "2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9", "a51aeab792370ea6c6e71d382c6c7e857da30b48", "796e333796024acf662fe76c4761607eaaa98a5d", "b4ab2555d5690e8e6fb1cf23c995a120181698a6", "bf23de0c2b478114cc5c4733e4e701a1d4662cc0", "91816b4b5fb74710144b3294dec61aab4de12fd3", "afde6c95ca696de65599a27590b31112a3eb6f6d", "0b39f2e02c0e8102092f980615449a5c6c3087e9", "d6380f8294d62757fbc07419adf76ea87e0acbcd", "14e336258fc0e0bf7311ba73d6f3abed339fec85", "3b9c3218439c7a6af9bf8ad97f9ac59874ef700e", "98a60b218ff8addaf213e97e2f4b54d39e45f5b9", "3979fc22340bb275e5d1d97f00ba0dc2cf1e881d", "cf4e94d0337744280da87ff351412bbe702af2b7", "8fcdeda0c2f4e265e2180eb5ed39f6548ae3ba99", "a975f1aea5dbb748955da0e17eef8d2270a49f25", "0037d05fe2fc9553e58206f40ca39760396b5911", "9857c4aed140d6829d763004c028e7b61bbac00c", "4eb600aa4071b9a73da49e5374d6e22ca46eaba6", "9561c7ef4f89019eb7fb779a7b18ef810964b491", "f4b9b5bdb28641fd1a2db0b3730eef02c7bac489", "0144b29bde2579e0a1b8ab3a38306c5621a5c30b", "20b6b28bca735f8185822dc92b8579b70ab555eb", "506e2850a564b6085d8f0af4834a97ddd301d423", "31c174f2190889d5792358713e078336926d7ee4", "4ea9bfcb7791cc07882f78b4747b8c8064ec6f7d", "59a0b3537bf4f764c192812c4b48049f5c8fccc3", "a2a17b7421bd46224127e35e3451b1af36528a6a", "6de25382753e1b20246520c5dc8b591d9371c816", "87dd1c52a3805c59eeab527b8c8c1214415026a6", "02ef1f665765d4d00538ccc6969a3e041ee62d71", "a25cb1b45b0415bae92d7ee5a384010968b8a657", "8b46df5e851e819473a726503a543a95e130e33d", "0fa24e602d65af82fc429edb4e0980dc534d4b16", "669ddd0b5f742876fe84cfb3dd7ff30bcaab52be", "e03f1f4e673f6a2937c48a0afb4dfd442aabbc5a", "1456f147381bf7c385225d854c2fb48c19eca285", "f4d68024b096c8e203f8b8ccf40d0efcd06f2c4c", "41d9fbf55ea7142b13b68d8ddfe764896569cd32", "120dc243f034d517a2181d1788d921510ef30cbf", "fb44fc4c92ffbca1a41053e5cb673e76212f1df1", "be707bf7c7096df0fcf5bb07ef0fa53494d6a781", "096bd380a2f653dc5e43069b97e1505186c47d5b", "12169222eeee058578629e5097f250c3992530b1", "04ff060369c86ccb07414935bd3e3b85e4896261", "19c5dad301b1bc0cdb719f0d80e42e73d3c7a421", "0d4fce2853a867e055a0062c2ef2f8accfc623f3", "a58d942c5dd42c9257bd295a13cb49474014a8cb", "02a2c5b332d883d726929474060a7e62411c010a", "b69f7660985be23abda72990cb1f367778960275", "5fc9d4b713fa26a1b50759fca8fb2ab24fe96ebe", "7cd9b79cfe05e772afaaff2a0aecf3bd5eb53f79", "c6fe64e24184056c16ad87f89f6d8ffed1423611", "b75cee96293c11fe77ab733fc1147950abbe16f9", "78bf00914a0f283138ad3397091c4ae5199670c6", "19b727567c0d63dd5594f96e70f5ccd8ff1b4e33", "2475ad865b2102cef83a87adfe0d2e71d4791e53", "394276284bfdb5049aedbe94b215e81b1bf4fb03", "a9a2ef9417dfe480a047a11a15814d3886ed0729", "16c855aea9789e2b7a77f35dc4181efc93dec69c", "d476b357c5bbc7bfae06a3876a5c0852d31d1b6e", "3f3d0852249ff7924e152efe948d0aee87d4238f", "25deec2f03ef5f1ec76373b5bd67bcfa43d37657", "005503ccf270890ea2582370feed4506f3785004", "0ceb23d9f7cd7bf095642d40dc650be9c1cedca5", "de7b815a83de8496a3bd384b3caa54352a85cbaa", "3f4b67309e6a2a9a1e303fbc0606225df0d3c2ab", "b1e6078cfd44ea816cf2fbc05d10c69543834150", "ebb527dad52f28610f9153952c10a95d8f01f5f9", "22029beb936c9871757813758c5ae3e5820260c9", "8645fe95f3f503f854b08096c2874a3f7ea6b79b", "a91d0ebc1255d6de1c4588767b3b5e1fc630e56f", "21f990f3bb8c7dfe57f31d912fb555819f1a64bd", "f735188dbcb276cd1da248110712fde0d1b2aec7", "8af0854c652c90d4004e1868bc5fafec3e4ce724", "3265c7799f9d14e29de37b1e37aec4330cd1d747", "aee90db1f66b77113b0a62701deb01ca96b6d9e6", "4950ae0e837657b611113e219bf848f0c657dcf9", "89e4f5a1eb6a97459bb748f4f7bc5c2696354aad", "2f951dcba9539270ca3feb9becc4539feb89e80a", "224e78cc643e38c2cdcdaaa5123ecd7cf7a08674", "78f0cf1cac51c51121080a3785e763e4397fc330", "9e2120e48d497b373c53563275c3786c11749883", "34128e93f4af820cea65477526645cdc82e0e59b", "300eb15b819ecc9668be26735e5038efc4e05281", "07c0fb95cd39bece89d1edecbade0e0b89cbdf56", "154683bb947c48321ecec162062204b1242b51b8", "b849bfe51138d88f6cae2d602b5e2a42565fb1c7", "faa111d749eb228c686643e4667dd1bc21c724f2", "50fb5e2f0c2fe8679c218ff88d4906e5a0812d34", "3678dac7e9998567b92f526046a16e2910ced55d", "2c3cac0f568ae9261ff9c80eeda55a13e83ae7fb", "8eac20a3657b2c1fd9fcc1024882c5303fcb83a5", "204db062f4952ce446cbb28fbc40d4a7f4424b03", "dcba9cd587be2ed5437370e12e3591bdde86dc3c", "a74bd6c9c4631117a036ce0e1c8e3d2a0b1f1f5e", "c88173aac29baa13d615c5be858290a14f0493c9", "59948ee0f334ccdc4e94e5bb6a7a019c764e1815", "66ef3bc9136f062f31ad20d1f5e0eb57074b9493", "09a8ae8fc95bd3c9fb8022da2c32c519d5fc06bc", "9b401be9fe35b759ae48c9dd5e9b7e4382511a55", "7c8242e68445118798e2e1eedc287e88a3d8e76a", "b4f90b09bb99405885bc9413288468f5892a62f7", "d097056d7cf1648c2e2de8e3a15f2a8d526cacd5", "5298e3ddb8ca2f40b67aad2507a76cda71bea6ba", "013ae3813686580980924a8fc97caf7776b8a63a", "08dc6e67f71e6c666cc7eadbf31b494e4bee362e", "763e0d4cd22eb1339fe346e8c62bf45738734dda", "09c4732280c3b2586e390d818ef0056a8de73e2c", "e27acf161f569aa876e46ffae2058bb275f12a60", "b9bd9cab426f4d4a0b0d0077f6d9dca2ec01ce3c", "0ae910ef0cb2f193a43d3a592b7b62ef8bd13058", "8eda955303623b68ab207abb233fac17b92c6632", "eb0a94e92dec2fb48943078eaafac33502fa3162", "e3e0f24539706023d88883a848b96b3be0366892", "ddf20b3e47d4e9626ae6c82f8690f440251403ed", "43d2deb66ad01e1a6b77e47ae31bf8dc12f81c22", "35be6ce15347870395931af308f3e84f1e79db1c", "af858b8f788c81d40c3c21568d3cd0d058dcc9f7", "4d5c34fb36cf8c74880a62814750760bce0aef16", "cee3bafca4b8474ebff82c9661617ab6cacda6c7", "bb06c12e83255b2c3afca1e3e115e721c53b46b3", "e26de3193487e19091ed353db6012507080e645d", "f1354246b647074dde9109eec4307f2d0b4e7fa2", "41f7c03519a2b108c064a2126daf627edde14c1e", "111ac5d013ac59aa8da919a470cdf83b437f9721", "7d30939e2d6f8b980910f4eeca5338d072f5ecb6", "bfad1067e24d9fc86487d4533559721838bdb710", "cf192e801761d1d9351f5f5163f9f24970f88812", "6ef28af882e408ff63f83ca670392a008d203fbc", "62f7de0e26f5716beb32b9d14e646e76b3a2e2af", "89dd979043cbda9f3964c31acc69873c63040552", "ddaf362bd3b2b21421466156d7b08399b9eb8a79", "0a843177d1aed0bb78463225103eeba94e0ce057", "4502b2691d6c92f3306b66bce70caecf550ae55f", "b0894e102cc3784c408573fce3a1ee0130d7ded9", "1b1027b3b03ed19fe579a32319b3e251efebb3c7", "0e41758075d91e58412f012c2d03531c5baf7cdc", "478cab795c8bc62cb68d3ffa9b0dfc290201416c", "4a95dacb1d38a07e73007082b8ed7651a4b5277c", "53d39f9260c6ee29dbf118382be91ea09475e628", "302fee58f8c9498e8a5e543312e7c11baf7e0827", "4d334cfafd11a93394917adcffef6c1d27aa178b", "00433d2ad90b40bc5ad22a591aac0da68037003e", "60b66ec51ddadd132453f700d1781e8e7a8f78c8", "4bab23e4ce9b6c65a067953fe202c20c387f00c8", "405b43f4a52f70336ac1db36d5fa654600e9e643", "37d6cde8be756b70d22262f1acc3442a0c6aa7ea", "b5cf931cf0bd606575bc793c0c8ec6d913d08bc6", "aeb2d4d6418e34e4cd91925906d6b648e32c9cc2", "9700f1cf75c3908aca56d154b2a4424ce557a7b8", "587f58539ad6fdfd277853ca611730a81e773232", "d4efe6e5b4229b03fc7c62ee34c878626d368c09", "3151b110ecdcf2105def494bfb0775f21259d7e8", "0020207f7e004a5f3faeee9b7c3ee86ceae88a2d", "b95acfe00686cc6f6526fcd1f30b6f38061d3a29", "4931562044a691fe41b638550b54a0a689674e83", "22259622612a839d97133d4809f80447dfeb5d56", "6bccfe8068da78fe3caa43bba686919513fe451f", "7a27c7d5ec6728b6b81a476d38db6efe1d938215", "e5bdd9cdb0845cbc2d1301198cf18f3c0f056161", "e65452aa90850570f7b8d52cbd7082ed669c19f3", "b749d6459a343de2b708c44ceb801cc201bb9c42", "47ae41d513630b8e4a03a124d7c20eae97ddbf55", "03dd7ca6fdf2f4785089e286969f7ee5ccea0a02", "49957368eceaa751c0b9c49251512ca6a8800cff", "02be981d45a8ca14e30e1cf9dfffd977f85e6ee4", "bb1b1002210de5f46102036502ee2732a8050174", "6821a3fa67d9d58655c26e24b568fda1229ac5be", "6b78f258cbe1f34a938547eb1585e43f8fdbd200", "7f310839e62c2623f6267b533047b323f61d2b27", "e8632e5bf43f7c59f4e1978833db8aa405c76c58", "7c1db13ae2c62d1f860fd2664885c9c93a28cab8", "aa435de0833fb6cabb1bd97f85a80d4a593807a8", "63f2c3e312d07c6452bdad0a8adef1b879950500", "47f31f9126a386dce81e3ef935579fd8c9a134f6", "e2e8db754b1ab4cd8aa07f5c5940f6921a1b7187", "a1abafcb88d668495b6ac0599382bfb26031b8a1", "f7970f1686d322953501163b14ee4368cb5f0498", "6e172fa3eefac4d5adc7c215871c02181d498002", "0c678d593cec6ff51c18bde3847fffbf58a66282", "0f96adc5a1b50cd587b510cf7c0bccd8186ccf82", "83e7254431486d24715d4170680c6cbc8bdb2328", "6f83a82f7944fc679241b7e1cf9f3e17a6d17550", "082722e10999ace6177ef03d73126e0b4e1a6f2c", "b2fde24de782d2979b946c49986cabdb12e84eba", "14d6ddb48d1b8a593665576d7e25f17be1447b2e", "454ec30d0a491800458a52a5aa655eb76a28f4f5", "984ecfbda7249e67eca8d9b1697e81f80e2e483d", "fded7773f14e4680c5a818bab5de4b3d29bfc732", "56cbfa23b9a60320fc0f8365991544f015a610b3", "fec5c0100c72d7c1c823a91dc146ecd5e98e77ff", "b0a376888a33defd6fcfe396a11e6ea6d4f99f0e", "6b68e3388ddecfcb0671dee6fba9a895aaf3d4e3", "d897e942dd9d07c3d1787b44151b691ecef7ec1c", "a8f032b300b99dedb9c0f8362557302696d5ee9a", "8399c71abc9a820bacd9c4e21c85c461c0b830b3", "f76808d6811cb3790e7fc3ddb08c733febbdefba", "eaf8397f8effd1f595f14fb888ff7c9e54f35833", "fef9ae59c5bf1f3876312723ac2e00ac4e9b51d6", "c08ef9ebf46e5a88c4ee1aa64dac104ddc07bee2", "340798e6b7a9863005863f38c1bbfda5cf85d201", "ecaa37790566c82c892d4764bed2b6133a3a8e32", "ffb34b2b63e80e3541ecbdfd75ebe88304258210", "e41a1c8165e84d576b34e06b7941f0dfde479cf7", "86e005b54819ca54d35daa2ae7ead498f41d84ce", "496a3c906a31ebc2876bee410530489d4b64945d", "5acfef824dccbb56d9095ec2ca54290e8ba6eaeb", "0534576e8937c209fe03bcd5e64ded9bd09d897b", "617b719e6c31cdfe7c5c485a755435b95f0c4991", "c140eb6fddbfa4eaf8fcabfaa4c205215bca6be2", "8d526a81a1939b810ae729fbc7e41d175881b099", "b3416a5f7339c7e83d68ba1d00d00576880a8f04", "3f764cbe8959a4df0ce844030b8c6c5935a71270", "940f164074a26b324cc33ee5192f768b35ba179e", "b33b88a5fa5d4f20c24dd0e5f3b3529b7545c9e6", "6976165d1ed210363be5b45933144c16183b64c4", "e3f2e337d4470545398cc6753a54c21debf9c37b", "a3ab0490b94868c52ff614bb0c6e47019da84313", "c1059a702f53c44bb26d3313964e811adf01d9b4", "31b0f482908d16d82826f2fc5fba67128cb07e4e", "46106d9f9d9b90401b7984794536e2f45fff1dbe", "1740a0732e8e308f5dd395313313cc3289666f13", "1d2f16a6bc39e2cccb0bac09b8b958684901d9ea", "f902592858a68efb8f8ff333d0ff6864ce81832a", "1670729d1edc9bc6103ee823f1137d302be41397", "073c9ec4ff069218f358b9dd8451a040cf1a4a82", "1916128446270b7b4520bf2fa45ec999043507e6", "03ea398fcefc53a1bd041346c895aadcffed0261", "93d80d544b5e5e5f84605b29f3fdb9b502f2e99b", "75b4a3434023c5068c510b91bf4c3679e22ff3c7", "3b4177556f1c9f5a8f8e1b2e8d824dee20e388e4", "a25fb4cf0a360bb4962da16d0f1c2e3bf570a183", "7c202efbaefdd283be4a4579c6d579ce03e48cd0", "ef75007cd6e5b990d09e7f3c4ba119be6c2546fb", "8d6c4af9d4c01ff47fe0be48155174158a9a5e08", "bc25f5e10c839d08ac8827fbe7724cd713008803", "8236dfad541d0caa066ccfb2bb04731e3c74db37", "119ac3d4a8c9bc5c36087140fbdddab788d10e5c", "11ed823555aabf7e32df5b09a04111a686f8ebb6", "cba3061a883cdfb45c6d26fdee7dd53e6614d388", "34c7254d2f420df6309260b2bb461a9c107dfd5a", "b5354bcad6c11983f9614546371262c454c994ed", "e93a65ff1c7c29736cef5701f079f75ecfb76f5f", "63da9079437f6090b44eec60ec3986c25c13be73", "4e33798e364826af1241d28d57977bec9a579709", "c4827fe8002ea61a2748b78369afe3a0747d1a0c", "6dc25023be1947daef79698f88922e97ead2c9a8", "ad9d98f34f6b7d3f0d3b742e49bd42fb6b4040a4", "d69e644016042d1032995bc9f51e2d72a1c1cd93", "10c41af3f41fdf842c05d451e5af98d10e642b75", "7bd6c7a26f35158112339ea81c055cbd79ab38a8", "d33e2e31e5a168c7d291d62d4c1be44e8179cb53", "01c687f0cb8c8e1002376f834c9b43b4b653a52f", "42c3adafbf8fce4b9d0986be184f2b1955958162", "5f6f246175d4fb759888e2e42a04360724dd4c74", "d497b9e50dc2aacfb1693ca4de6ebf904404d98d", "cab160d3ee7873f7905c0334de1a066e20a25679", "70f0636b14b9e3916a780d70a5c712e8fea739da", "41562c2982e1e32acd8283571c7b1f3d6bc36fd3", "362250566948f17693b737122fc1434173982da8", "06680961e99aadb366968e5f515da58864ecd784", "2c98165dd72bac574ed463b00f1dd4c276808cb4", "b61b4eb2e28b9cf35578498e1bbcc35ec0a07651", "9cfdd2e9e9e084e2cda36a41c197571270d7f1d0", "9c36f26a914b76b0f95d42b2ae442af61e5d11d7", "3a165f7e22f0667b401cba1b2615048193781b4c", "06cf3f55b2bd959d9228d29e1aa3e71ba7cece94", "0da8f43b7705116eebdf6f828c82046c8f63db2a", "97b24c34114730ef556737800912758c5232c47b", "ccfebdf7917cb50b5fcd56fb837f841a2246a149", "6d33cfc76f9febf45a8ce9ca4c78959340beaf6c", "f38d09b11a8f6853ef27822df317646b70af5949", "2e384f057211426ac5922f1b33d2aa8df5d51f57", "3ce92cac0f3694be2f2918bf122679c6664a1e16", "a6ed433eeaea37ff86e31e012d345dbd31eb2356", "576bfffd7d58a9c70ff73e39033f31739e6f09b2", "9e3fe7f7c125ad60fc1018bd515c6eb4a9e76f2e", "ff47201a705dddbf35a3589fad7d04a2e3e4602d", "2f000034f040f6a23c756671477f5f573514af8a", "7c0773c7578433a2277e919ac824f142d5de351c", "37d969028935706c3f1a3200a6d7ec25ea3b30c7", "5fa35645a0fe8f5e081302238a70a1963a1276d7", "2ab9c36e19090ed9ac5295b3704708bdce80462d", "ffcbedb92e76fbab083bb2c57d846a2a96b5ae30", "f19f7bfccefec7d0e2f8adad1e718d4a4b7d31e3", "c90c51357ccd50bc1f2976cb63a5b7077feef4ad", "76ff6a68d7a8dcc12b6ba68e914294f6720a466d", "b56ffd4b244b2c3094cdb930ee569fb4e3bd95f0", "c3941b5074a3c23ced4b3ff598653724ec7007f1", "bb21a57edd10c042bd137b713fcbf743021ab232", "e5687f9584deca1fafb68b50fa79b9fcfbd1d379", "a7e5c01e3dca9284f8acffad750cdbb29689d3fb", "2dba6a057b7e7d14fc6fee076ccf1d22506be54a", "519a724426b5d9ad384d38aaf2a4632d3824f243", "3ee522805e16bf7816ec4abfaf0c7648b5cb5c95", "1ebcf5dbb37fcd369530b0ee4df5d4a60f756f3e", "a432ee5977443b5c29001f4bd10c6303cc364d4d", "3cd9411181cd4f12798c64f0442c199cc24a56a7", "d290e9dc6a3670b218388406dcd0aba33efced33", "769a897e42bd131983ca641a698b1e3c85b19d0d", "65a858ca95dcfa032e812a7f1fc7ee5bdac88f5b", "57c36f13b188816051a27478e2f56bb284f4fb13", "2b6c031c61b78a9f9ee958d291d29c8ab359404e", "1d93f7de9f6d2daa77d844dd928aaa1e699ed312", "a01d22166ed62f5ad485ae32827c70d583a88564", "33ea400ca2105b9a3cd0e3c7c147e06c2d3c6d79", "b7c2173668a4c23b79450111887d8b1e4199f89c", "93173b854598140ce16f5d3263c5e13d73dd3e37", "970e723404885e94e77780766b39ee951dd7abb3", "ad08c6b0b42db6d6ba30387d558f5e427e39b7dc", "3b99c007994340381b6a2ba15346ce03c323b523", "11deee1b9e199d1cc0d07d4c4d9f888447e19845", "4dba7e19e2958d8ab75261219747aebc675c6f8a", "040033d73d1efe316c8f0a8ed702b833a0550d83", "e3f0e0dbc8e14e3dfb8fe9f9ecf6dab2c4713823", "8646f22a46b65c2018bc39ad3cbdb939e788a1fc", "922a8f36112c3f484df7161b334bbfc78600afc8", "c3f0d5ad2104a27d350560e1420f561374413793", "321fbbe7da848b602f376219ed9aed6a7f4b7f57", "6bc459c548bba7a04e2e255845b28060ec390407", "672865c2a60921efe15b6b0b66bd0fac460f8895", "88e30a988d4a496d61eb241d4cafe5cc88688ae6", "a60c19b131090b00264d2dfdcf8146afdd3f968f", "e903985eab4571c0a1639a83f145c52330c82a2e", "779f67f2fe406828bbe7a19e8736cb5fd309e321", "9adc420f1f9c97fc1fb7975447fdf244b061bbbc", "5b6c603fba0a66fb3c037632079bdca82ec3bf91", "a353d425a602d04f1dfde2142650fe0fb5193159", "6b011aa54aeabae8ac172a0cf0dd4333d1bfd327", "75c3ba0c7e5b0d4a11e9d2e073ccd02ee688c0c9", "3d740c4f2246ce8e63d0eacc2cc1a5c31259e9ee", "6cd557019b7775d8647ca31260734c786fdb69ec", "af267b44c3ae6c2a0587310021a6180962e835d6", "a45ec977363157d40f4c57b8c98d7aa15ec6fd7a", "ff643f726e01ad2955d6df752fadc95a1140be78", "98c7a6210ca7bc81d2f7092ab28451f47039e920", "06fe63b34fcc8ff68b72b5835c4245d3f9b8a016", "91fe43fd76571513c8caf3aca20a405f5d99f3fd", "000a83a533f9c945addce83e466e308df1ae79c5", "1e5f33a4843fe609aedd060c50278d0d62e0adc8", "76e8fd009eb7e126af8de59953b1fb9d3d841800", "a04429934abecd22a136fc2e1a659ff557f7cd84", "0fa42d4478b514b0f961e26bccbaf2b75d42e912", "79f9a15b4e838d6db91249a85d72fadb07aee927", "aabe235a028a4d533053d78034f85bea39690d4f", "74e537ee4061aa64278dd59a4d135f83f1b8bb20", "0657da204bbd5f1e92882b2ccdf4f883659ccd37", "a7e274db8f1389b95469588995f18c1c42b62534", "f571fe3f753765cf695b75b1bd8bed37524a52d2", "34914e7a76a35890e6372f8e313ddc662b653da2", "2def47989c6f9143184b5eaaf3aca3f2833f3e05", "423cfa55a14cd92ada32245b416b587ef9c29308", "eaf356e0ddf7701fa3d52d5159a78202a4866296", "b0a96954377390e80de59f0063e5703a21391eb3", "2b285e5eaeb7a2aa7e37c5ae6762b838d3742b4e", "82a4562d9ef19aec3aeaf9bd9f0ac4e09bdf5c86", "6c4d5ac0eed17513e3ceacd396526b8ad6c8fc09", "0cbf8aa9f81f49d1e304238a72cfc6564d4a36fa", "506e76681d02dc3a3748e326fb57c4e4ab66778e", "540502d954529b37bfb2a0944126c7c4268ee39d", "1630e839bc23811e340bdadad3c55b6723db361d", "7bd837a934c6cd6ee858bdfd4ee0f8fa3663fed7", "1d99282d00f7cf3e4d912428313848add8de8220", "353020020597c01f47e59f9862dbf42289e138df", "34f29a2485b003614f7e6a4c42dac656475b397d", "55dcaee65936583846e8c4fa36589df066ebadfa", "8ffea367dbab7ec446a202f39120f5b3769c7f91", "480040b64a972bf51f8debabc4f9421fd2c7b829", "7175a0875580d511ce7db54e183a8f4bddb97dcf", "63b20102be65bbb3453152e504e79c2af2eb9059", "6e99832e265999194aa88958d892db62afbd7ac9", "a53fe4347da39dcf61ac37cee66c945e79a5052e", "140dbcb0be3ce7961ed551f129698e9ad4c9aa8c", "3a95bfa1d4a989b162e07fa69b85cb6d31a674ab", "6bc4b1376ec2812b6d752c4f6bc8d8fd0512db91", "76fe2c44c1b803425e609b8d847733fbbddabc0b", "431fc5903ab4853820eac6614073c5b7aec0ac31", "01915181692c821cc5a0a703047bd5b07c1f9af5", "3e59a900cecbe5dddaddea51f97fb7d12d99b44b", "8ff80024836dfee9a6a9a38586aed3e3df1d7a43", "0bcde128b115af74d0986306184502ae7c8822f6", "8f0bb07bba345af8e22bfadf392660ac26e821e2", "e3b5a83120889063183f227be138cc90ee6bd64d", "18dd8e04ecb5421b13aac39c288cd8dc3a541178", "3b1b94441010615195a5c404409ce2416860508c", "5dc452b75efb033501e9baaaab468b0a8014b86d", "1eb249b515f7c09ae2663c1b5c49243906aabf22", "22029de24dbf6867658145264f36b161c40a09d8", "afe987d36438efaa2b5116c444b5fc47462f11d9", "bd4e3d9303fca21cf51c88ae1ade73f852beb9f3", "0c60805cd71725cad770db897801d149a97788ce", "a43c3ebeee65d44bbedac7548483485a14eacf52", "77ee5514fa266c172502713f27d52444e951d49a", "312ce75c7b86333a03afc2cbf8f53047f7eab3d6", "3f3ce530fe7e75c648b6959980008b0b1f99727a", "4c60b754ead9755121d7cf7ef31f86ff282cc8fb", "553ffb04c193eedde286c944f4816d46248d9822", "3a23697c709ef341c685abdb24af52753974871e", "30a14aabde46aa236a7b437a4942a92d417f3653", "0bd949f948f8f7afc0578d23d065b36c5c03c509", "0d82ac80275283c3dd26aca9e629ee6a9ca8a07a", "54ffc4c83974d5915025f80e54e350cd30ef96d7", "6bee77418af305d632b21eb03872a0d268eeebac", "499842b3df387b81dbb2436c764d22b1a3f42cae", "2547607a98eff30654994902f518e30caf2f8271", "d492b06c4eb8eeff00e167b2365d60d4370bac0a", "146e6504d473b92e56108b7276d96aebaa58ccfc", "e39d1345a5aef8a5ee32c0a774de877b903de50c", "361367838ee5d9d5c9a77c69c1c56b1c309ab236", "58ef0c54f01073e43ae5e9662f450002540355e9", "0f6911bc1e6abee8bbf9dd3f8d54d40466429da7", "60ed2c1acfddd02a0c0361366fc1a913e68946f1", "00cc6b9ad1aa0bb6c170eca1f2b8df2a7e249338", "45556fc103f8255cd60ce756c6f9ecdaac3fda79", "dbbfb8ab9355d00ec3b2a9be12747e2e20458bb5", "ae7480d4fee5b5fd47bcb8ce37395fa043ed3356", "00b0ea36d426b35994b8a586a18651abf1dd1f93", "18a7edd0bfe5a3d6ceb4d2053081e479cfa1e920", "01785fd8588e1281656252b8a6783fffab9fdebb", "09c5fe448694eea3cf3166ccccb2c81048fe0601", "0d6765cc4458d7d25577776aa88876240dfc640f", "4a19f6545473363b16d4a10ed13fef29b38856d3", "d3008b4122e50a28f6cc1fa98ac6af28b42271ea", "f084867370c76854cc7f3474c9a1f3e9bccbdb7d", "159868d951834e4aafc1aedf418d6b975d025db5", "fdf31db5aa8cf8a7f9ac84fcc7b0949e8e000a41", "cce060843cd8f920903cfaff6216218600a0d0b9", "e8327930af0c719e3084d0ffb284704888976515", "3e56cbce67d312af2b3a7d0981e9cb33d2236bea", "21ac5d1c34675bf6056d2670f9fa3dde530b1716", "81ec47297e44a623029013a92e4510d504e4a86b", "33c050241a203601b1e64ad45415e24c455ba7d0", "4cce5a690decc1d81b41975bf88eaefef2a71222", "515a3436255c6750e516a9872261442ba13a0a78", "255bb1a38169c7b78fb4da747cde18a961755d7a", "429b8d5bb05e1a580fad0222b9e9496985465e40", "483ca50670c5f7d33f7c722dd71105327a30ea60", "903f8670d13237328e0a0f9f655b8f534a9b6651", "76f7664511917bb575081ad3555e383de54562f1", "bb30cc05068067fc33d34930283bfcd9ad9b411f", "25d35a9153463faaef9413c26db598f36755735d", "7f7c3a99923549601c81cd5e9659ca01e8a42f47", "094ac7510d1723cb9c2da01db47291322aa29025", "5e9e3afeea446a2ae19e3a8e0678f08b73b0b36b", "c2fb2cb5487ad404b8e66daf74198496c40bef32", "e1660c10ae661cf951602232b36047b19198f599", "03016dd2ed29f1d8c090fff88f2cacbdb03da5f3", "35f6e4a61bb3541348300be3347ab56d0be75744", "ed02b45d05e58803596891d660837c21be70a0af", "aa8eef836b5071d0d892deb546ac9d6a0d747bc7", "36597e65169d576d0a68dca7023c57efcfee5c4f", "4091b6a3ab33e2aa923ee23c8db7e33d167ff67a", "59cca46a0442fc6bd0525e5f13cef5b5a9747d34", "cd6c2ae00157e3fb6ab56379843280eb4cbb01b4", "9004a833c65b89c88d2f50835dc47f2319a2c3d5", "10d003ba5062c048f0e324c897f849b0c9bc2aab", "1dea8b1bba7f12575049d92631706b5999d6899d", "67a6bd37e91f2c334b1092fd9e9b16be93f82377", "8b724754d7c7d7e5f98c1982b144fddb66add843", "4425df6cc10917644c44a7f4177a5d7cc1c8b7bc", "4ff7f5928f96ddc877b4b8675cc41cc08f4bd561", "913e85383c8bcdb53a55be8e4ef50814b3193417", "3dc6f72bda1707e6a96174ff943991bb2b7ff319", "f3e2fd2388c33b09df32c29f381e71b48dc227ab", "8cd6095bce5e3c6239fef7dd5462842afb0df223", "e55d5dd7d8dfa8f979fdc0769a209441ca04c96d", "8dd167b3b6c039e5fbc5098076fd88792cd0374d", "1a4bc1821e32acc3a2a8dbd9774b8d201e9f11b9", "f31b271bd0d17fd4a2ed302c3bac6ae4f548b180", "58c3e04e8105cf8f2721c4a4a6487db752bb8852", "2e3c893ac11e1a566971f64ae30ac4a1f36f5bb5", "45d6323b4256a1cd11189141dd056525890f76c1", "6b1f12995c88412607d8c36b3d5b0aa6a5cba7a3", "ada53a115e1551f3fbad3dc5930c1187473a78a4", "c5e4467b5830d7dad4e940f0766ae728f22e38fc", "7710232a3d8bb1ef4ab0b5b6042bed19380bf0de", "a3825a14676c5f88478af2cd254ba4c531d5e92c", "6c510b56b468303adf9ea2fe94bd93d98347f07c", "4b7d5b17c0daa35f682417c32e80022c6645dc7f", "e06f94ebf10b511d121725c318cd289c55349c2d", "d196d3ae94972a67d8298f5c11d1a63f1d9bc3fa", "de59ee5e56443e581e896eda47a75a45e7f5dcf7", "8627e6ccb42c909b5c1f94304af986472effb6f1", "7938d26e7681048690c917b67e206c1b8ea3dcc9", "debe5f241a678d40b0457d448710d9a3483787ac", "d6837519e7f028e83140ac2585fe84ebe4aca18a", "52884a0c7913be319c1a2395f009cea47b03f128", "05f96b4aba7d2cccd9de4c227aed48dbf4030a80", "996ce2e3c1b7d0b37a1d18c24f48b0aa3d4ced6b", "3e5321136cf8007c98b77c1d5a17823deba20b7e", "18fe5b96b620454baa5342ee6b8fb2908ed22988", "1e0dd12f2bff234a4df71641bc95068733506858", "0687e472b5accce40299a6dd109c38e4167fea94", "bb6f922cc6f94beacc93aead7af53e9bcb9fe3b4", "6f1be86c77492af422e936028858c9180b52b698", "833a2c168849697aae3589bbeef0cbca22808fe8", "edceeaa885f3eb29761580095059f8a34be8408b", "7f2061fd27be3afac4d020a87ba40fded935a97f", "3b1aaac41fc7847dd8a6a66d29d8881f75c91ad5", "50af3b6f7192951b42c2531ee931c8244e505a5c", "b2dc7244fbfac36d5df5c2c74de9c170aa7c8f1e", "349c50a22c9f5b46f4ed0f03912706b2c9d484d5", "47b34a8ad5100582aa7cbfd85df3ca7659adc392", "76b39ce25471d18f32b5b016833f6cb88915c844", "17e769ef3d86e74c21f2616c7f7a6f20a4e2fbaa", "20717f1cb12ab208458c0f2505b237d8f061f97a", "f5440f03e54a2e8e5b698a9872a6f2968807c446", "6365b0e06709cebaf436546820176f4bf68689f7", "355de7460120ddc1150d9ce3756f9848983f7ff4", "a08004ac0fac652d92a6c8bc6d7629f344db4d50", "858adc1499e556dd4d2c65705dc62d2e3592b3bf", "a448aeed546a13cad7977dd0e8139f0ee43baed0", "fd67b9812fa4aef6c5dfb633df4406105cdb4e8f", "b4ad2bdbf82c8bd1454f6d743b956bcfbad54101", "ec443db55db1a6721387b2054b94f6df020994ae", "03184ac97ebf0724c45a29ab49f2a8ce59ac2de3", "77fb0266b354d33f3725629c2ddce3d2342b318a", "1ccf5670461638542b32fc7bd86cd47bf2f9d050", "c6a6906c9ee5b6b4da5b8296650a8ae9eb7f74bd", "f90efe7d3d6eef4fe653343442163bf20495b5aa", "e344cfff1ec2a46e230983157ef34efba5d65340", "2c71d189e131d8a0b1f832202392b83b31ee2818", "e1ca483bf02befe4a15f6a4b7d8a3d7f39cd1d05", "b67e0ae9d64ec06b3e1c25c7f7e8b86020612d33", "0a24b6a80ab5a73df7e72e30fb76b0d11ca4e79d", "70e90b9df5b8617ef6636c5492db727f9d48d0ec", "c1cf510bdb4a097426bd95c0c2e970081d3e9ab3", "bb4362bd6f0bc5bb467fc8f169723243caa97d1d", "127316fbe268c78c519ceb23d41100e86639418a", "205cbac63de77af22e003c0c98c1a4a351747708", "de1216664eb86122f31b5e072301b2fb7f187251", "5f0facd360d54bc0d532c90ec2ced4c54043d15b", "00f2ff5aca7737f2ddf67d4621fa4df6a951b0bc", "db625c4c26c7df67c9099e78961d479532628ec7", "3b5c8c04c9c640faf7bd7b1df465a8f6153b711b", "0700d9c983b9c52341a4e17b70bdaff59cb539e5", "d6b8a1c74f1c7b317188c8309b8c2e72591b4a83", "e1529efdb6e48ee550bf65407ad8590ac2099b47", "3162505b76ad387de62ec3696ce037f73c60f118", "448e1e7a993837fb3867ed15dba31d5ca1d526b5", "f31beb62d18d8ac7544b4658cae1d2c7730520b2", "1151a81118368e7596843b8db2508e4974fd7435", "069f2092c5d22e6d4c1e27c30e18dc63848fa3c3", "52162b19e058f11b5d010f6b9f1f4944ce8db3a6", "1774b5a76d139a5532284f797ea7a36318bbcefd", "93017577a8070458bc2c0a91e653fba0773466d5", "10cb43143c3370e54a4e365aecc29505ea968bec", "a35338cb4686cff66710b7f8102e5eabfc38adb8", "7cb241d57f0f35f941207f5b302a8681d92f445e", "541c68e2c65f6dce6179801c9f92dc7803dc71b5", "0a3051c8dde80975640d42dca21fac17ed60f987", "558c4917dc9a1d34f62c0ab713b1b9a37ad04853", "7573ff84d71de19fe7d387bb4a6de73cb28402f4", "03b99f5abe0e977ff4c902412c5cb832977cf18e", "91b0081a348d182d616f74a0c9fb80d56acf4198", "105bc5bde56723abdd3979c7b9adaa0a1616520d", "dbbdb23bb2512ef0922c5396cb95f713257b6ac8", "4c4f7ef4cc9efef2465e9fe6b7a6fc8d92fd8d1f", "85ffbcf7ab725d4cf8e2e78456ddd68733165027", "20e4818919db0176c6c2ac30a468249ffeaff151", "ff65e3bf34e892ef75d91c5e3d7294e0b64d867d", "684114d3f1405efd50ed9a59063936a1a7fdc970", "d647c13b55a8c8413dd470b376fb92da77955dcb", "7245206cdf02e839fb91716d684e534c62d0b712", "f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5", "256cca1ad1ef681121bc617f32b5f4dd96aa8ac7", "9d313b105b7b5b77599626077aa6f6578f556796", "afac56d8272665c445b7fb6b31541b9dd578455e", "5f943f9bfe3154fbd368034903ea11620d2946eb", "e09c7bbf1bef602018928acb395f09448a0366b8", "0d57d3d2d04fc96d731cac99a7a8ef79050dac75", "b6d33a07d55688b5a0478a0a44f8ec905376f37b", "8df3bef321cd1b259cf6fb1ef264a2e885610044", "b975049ea8f5b476f468f387090a03670ac8040e", "73351b313df89572afe1332625044f7e5dd0ce06", "6d55daee74b83af740d7e4c04a404e84ec1f55d4", "01c840aa27a6c234c0e55e9a5874719bb4d8fbe3", "a00a757b26d5c4f53b628a9c565990cdd0e51876", "dea949c10dbdab5b95dff6220556b65a1f7f1206", "6737a429dd615a0d9ac78d836c6b65bfd9ec36e8", "87363751b8e3d51a002dea6d32df553ee5315cb7", "0c3e08148c1d2e66868c2e96d61ac5c2aee2dbb1", "1bcc4f0f58848190ae0b2098eadf06002d5f70b4", "72ed3be320e435a1dc093c84071a22d3d64fd997", "f929915cefe8f581e3425c9d94639e25771e759d", "81b4f1f6e8b993a04fb7e91842ad39691cb9e4c7", "a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64", "113a31b4c58c613d5847b0d4b9890795d33e9189", "d246b50b99eb2d2f1e67b855e059002b96a64f86", "be35231e0240eedba8b513fc6f48a111f9e2bb90", "2607f0093fecd4fee5244d56fcf3f53ff22e949e", "b5447f2addbd8b7ccda2cb9e3084cb3fa1d876ff", "c1c8fec3f30a3708dd146ea056d54a2fcfdb5880", "25e8788388173e054faf32cc79de5b2fbb55a792", "cb1214e42fa81977bc21f4b3c8e194a9b68278f5", "e00e8dc033b7009eb70e38891ee7e0eea80402b0", "bc7f431c4c5cecfc7bf95b2f0704d81469f23580", "2e5ebb2ed819b97c6c54570d684576387dc55e93", "691275c189525899271b448041de36c4932deda1", "7c7a23e8e846c1e1a6c63925d73d0d0806a040ef", "00b03ee4a7e31a999715d7a0c31d283d646106fa", "4b8ce1bfedb285d8d609d1059dd0183420d63671", "8e67f2e8b15a1b0b6b0fa1bf7ca6a72b5d0a51e9", "5f54f38043ecba3871fe18529c89309267132127", "44ec89df8d9f42e323ea90599f23ae58e3a8925a", "760a8a46089ca9fc7d06ea44b207b948569237ba", "738d5a6491ae0fef5d2debc17f951534061cf6f8", "6a14652508138fcf0aa8c518109165f65c88fd3f", "6ada03f390f92704f3df1556846697c54c00f7da", "20e64f44ce2977a4dc5099fce6f73842613f0865", "adf9998214598469f7a097bc50de4c23784f2a5a", "87d0c3359a9a99fddfbc5a388e211762a79ed5d7", "48daba0289e036c5aba6e360377b72ed6dde674b", "b352bd38298608afab5df341857313c146c1418c", "7256160e8884091f6024a9495291bd0b10e8af6d", "4552dfc16a89d1066051b0dc7ee888d0873d2793", "0b48e1bd69c5b87f197397f933ce7f5261fa00bb", "59138911e0526dd1d8c5466b2793b6bb02c35ca9", "ea17b634a272e78f89460f513c74b0557777868b", "f98cbf32989387733529fa4fc943f0a7e97b5c07", "e4ee8e2fcbdf2b65ca39c28f36c81d4c56b82d0d", "215f26774779e260087c66eda49e22429619db94", "3e309126c78261f242d21826bfac37412f5437cd", "73ec2d5a6b4bee0f268b793ff646330507497e38", "18fe8a42cb3b7ce14e29a11faa3d7cc45f1be22f", "5326fb54202d535b210aefdf396eeefcf7d0ee7c", "f30860a38945ebcef57484a977937dc0294d0ce6", "f63f754ff445a1651780e58577bdd5e823847146", "c9811aa6dd338408e3f4eee7459376a90c2def4f", "84908a9162b7243e70bff6861d084813ed011f0f", "2118b1ce0c2551e75d30fb6ba24482e50b319a90", "8d559aeefb291d5b017c263a49f38e8a28439344", "54dae5187de3898d8034719bcaa3e0100ae72d76", "26a471a491c2fb162ad403ed932b481d386306c7", "3701503a946bbe003e060859fc5b71209991b0a7", "10a285260e822b49023c4324d0fbbca7df8e128b", "ff3ec3607b77a1dbb685cf90dd23a273d622dda5", "1f436aa4e68274037fff44e6cfbcd0a1ee3f60df", "7e01ce7a1c14971088afa3ee73f92db451e2c536", "308dd9a212f0528f5bad80c0954db4b229576cd5", "4bc821ff7cc7e4906fe7c4f9f1d8f180a0ef3e18", "0c8a6fd107320d5d40a3c5bdca1efcb4b8f774fb", "36c31db023db39d8ba3ddaa42e23acfdff5c7530", "68cff7e6aad5407f74aa4e7a11ce4ff0102eb7ed", "e06d0d7513a42755ad8b33c21ec4c1660f5e0cc5", "8def62fd86b5ea0a41fd9f892bd95b01bf072e88", "d89f17c77369b7a7148c77ecdb2e1fabf90e650f", "36a95f1a9fbe518427bbf33293488c71161313a9", "73713880d4d1ec4c8f4608a94f67ea9e9f9a97a5", "5a5f7d39433d68059e513b947a9fde62b5d4d3fe", "97d9c57576a573955c1b21b63f5b5ae44438e973", "ea2772e03af15b8387f2789a45a4e1d197b13f88", "265bd28d8cd20ccfb73a5aac6bb08d417e7823a3", "aaa29212a3f9e6a35f78600231a690b4a3c83fd5", "900d5fadd4daf867dcd90929d0c2c31d5976d13a", "dea749f087a8c9a9baa9167b4eaff50bd3eb9d16", "0b937abb3b356a2932d804f9fc4b463485f63d0e", "f187b0ed2224b2861442a73ad2966c1789afc09a", "07adc7429fb22352946b675023df7db11c905701", "5fa08db02ff78d8f5d2a50ce92d30af811eb7d64", "5b35bde1c144cbc96f25c5359ff44e898191dbe1", "0e245275cf1ce11d47291d0930d9b289cea9cc14", "32b7b671c786aa74f7d8f9817b12b3a59c0b84c2", "0f96eee0407b9ce9ea01629ed01bcf6802f97272", "8297204fb6188cf3750154d4ff9855f7973b0cef", "e1e2e32f29cf7d23881e98dfe018d9049bdb070d", "19c0e8f6fbe49b0065039ed7b23da3ef0fb9852d", "6ed483dbd967c035976830e65d0cea4fde4ac14a", "05bac1f503ad77b095730f3b55214f7785b3f65d", "29d10748dfb3bc6883dae224bc4c6ddf774bf363", "4701112bfe9946a97a60c2bbb2d47dc784942c3f", "9f9a5cf4e84e99edebd55b2c160cce821c2439a7", "05fcbd15764437c8d185c79eaf5cc1683f62dbf4", "08ca2a2a543ee74e2bd6585e0a059b30aae65d30", "6f4a596c80b5ccaf44a076760761c4f132920b11", "a8d3dc5c68032c60ebbe3b547ac948d7cf8dd1d8", "0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e", "2d1a072e89f97324cd5ec8a8235ef20d1bfdd70f", "c2be88c6d99605abca7a7377935c8809eb8d328e", "a96c3b0e4ba2949053a9e1e00751b76ef5b05816", "155448563c354b01d12610b5864b511644cfeb27", "6047e9af00dcffbd2effbfa600735eb111f7de65", "070943ccdaeb3ed97c89d729d93fca6f4e7631da", "11f476a5da2366cfa6e4b4e2654a0833fa7d4fa4", "47e2a7ed8df51ae1a89179a22bb5995296eeb8d9", "0cbe9732bc80761d7770e952275d5757b1acaea2", "3f1ca715733c617c96a5d6deeb76c93c710d082d", "ef8d42105b06d2bb06b2177921a6415e44d5a90d", "3afae8025cf543b1acfd3b8955b48bdc0979f303", "6926b84ca14eae7c5c899b7d66c4f73617d92e7f", "52b0104a43f55c5652001c06dfabfc4c327018bf", "06554235c2c9361a14c0569206b58a355a63f01b", "dda403e6d9b61e3fa84fafb3aa2f70884d03a944", "45bc489553c41b489e29c4f538fa554d9009151a", "2ec55c3fb5fa493ebfacc58115cf28f283a50a02", "664e3e84dee394701241ce31222b985268ea005d", "a32ebfa79097fdf5c9d44d2f74e33b7c8343425c", "2057837e059a1dde8c6c4c0587e652b79c04780a", "8531b4fc2eb467c3ae359017e85b25fac905111f", "b79f3d9f8de4d1cc6679676146a40d2a8596f32d", "d881a59d00971c754e02bfaaf4c48ec6dfbc1343", "34a256eb89fde78d61c2184787f5c3183dae49cc", "8a565aa547e2bdf278ad3d1fce1f1da8e70c38a1", "7c02a578734af8008177bb3f27549198b2503178", "f867cd63fa18da1c52061ba22954ee9d138906dd", "56d162799d5e004723341492f776399693d76433", "c6054cb6e6319f8e79aeaa3e9c6963889458e0bb", "a7e78f80e0e37d0c17bc09058c27996e32e4454e", "9d6a2180a5f452356526edd8b4833180fa09cb3f", "e33b1833b2d0cd7b0450b22b96a567a59c9e4685", "558613d96d7c125c00eae0c58c56ee6983208fd5", "95a9e256c8f8bbce0d86199cacea92b15004dd45", "86be567bab1293ed847979d2c56a662fcbcbc1d5", "996ca49f17757a146c0ed4eb4e122ee4af200e06", "218595e1979007ccd6b1bc5a30a3484841c0eafa", "c2eed73654b544a705b194ade58cd82488c6c5b9", "049584922a6bb15ceb25fa1f771f834b9befbcae", "8656567dcd6917d144572d5a0730726db2b2c472", "d6b1c0c2107abb01ee4241963eab26e261510f12", "183c8da12a07e2002fd71edbabeca5b3bfb45d66", "0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de", "6c019f832dc689f8fe0f217534d8568ca3814c19", "47a567ef9d049e5775ffd005f9d74e6aab108f82", "110cdc88e2a26b0b88a0b54d8f646fa837e41554", "81be42a4843a2ff03e8a46368f77ae95723f9c7b", "e8ceaddf63c2b91997e36f062f4cff1e380db029", "776d4718b3643d30d642e6985e02dc9343b8ae83", "9bfdd57154164b6f9fd9dab52fb2679b9c7573a2", "4fca83b685a6523f167da5cbe59a51e6b09db61e", "30d4d6bf4bd09f5b5a4f3631aa1ef18fe07efef8", "bfa71537839a81a03569a702a7cdc07647f7de4d", "cb765693a73e4acf51fc1d78fc318d62a5a26fd1", "e270943b338400e624ed62c462ed882e4114de03", "b788f1c013c6786cd44d6f35682a388975058488", "27bd59baf9cc179e8218c65abd56229def1f83e0", "1d3004953fd521adc8be457765ec978f0df1ac60", "983bfb10fa228ecd1047ab4ac1d78c96448de059", "b92175bf063bd73cabe8b222268c153e4466a82a", "b0101a979f3003911aa867598a61ca67e13e0d56", "3e515fc01c28dd0e2c41efa6d277d036c4156aad", "c7592f3e2de1bbebc3b030a2247b006d53b2173a", "442258632b82baee92a97e8d48581121bd24541c", "60faee1263dd37bdd5ce99814c09f58fde58dcc2", "49b67c48cebb33720d0722192678723141454a57", "c2b89235176e4bb2573421f02e72eddcbb2fd630", "9d94ded6f0349ef8dd5bd69b2a3ad2b7c2b750e3", "40c72f5699f87db0f4f5505e6fcf79254dfd13bd", "095251493ac774df0a737bb8023cffd036edccd0", "2115d5046088f6c17cecd43dfd3342018df2b861", "d2ada7d9424c056cc555f331dbb23ddab84eeee7", "0b204afe26f1a73e9183c575e99fe37fef8c1500", "d7ec3c87dd6a4fac0a16f5ab6ff85eb2bb4d7984", "6f3c76b7c0bd8e1d122c6ea808a271fd4749c951", "03d51d9703b58521d718af2e7c4b75291a94509a", "cc3e1a6376928138dff5582b7a56d40cfb3b7367", "c259693737ce52e2e37972e15334cbe78b653e69", "2dc62458979dfc00ec195258ea8809077c5de442", "0ca475433d74abb3c0f38fbe9d212058dc771570", "44442a26062c20dab7db4a9862349b598efca119", "c00935052d80cddedb53da1ed042055faaf3aa1b", "688680d9902f688b9ac2d47c399ceebd1014d785", "95c3749c8b7a900ece82b3d5fbef16eb0c853112", "6d432962055a8c521e6b388d5a0a2140a0019a5e", "91deebce5562145bf8599b182bf9241f6b92814c", "b3d8438c23306909c04dabb4c2d12d15d82959fb", "c3f48742f951084c085ac070690ec2b3c489217b", "50b548facfb728af123befabd6e3292c44f1a8c5", "6e885d831568520aa95f523f625623e46578efd0", "01ef99054433b4ee53f968c652041183a0a931ce", "dfbd1f1392720fb3a2ae149a3de66ee53a5bd073", "b92f984f328851a5572e38ee816ebdcc515f2a0a", "b774d7c951b9c444572085e15f6a81a063abf123", "c397acf6a2876afe25bb07824f2d6030816cb009", "bc8cbd105f45cdc447b6c7cf2093ec6a24b92728", "304a306d2a55ea41c2355bd9310e332fa76b3cb0", "e25cf0b9704e8ceb346ea00a9e98a9415f0228fa", "a97d561583e93127da44c67315f8699b5c91030a", "bef4df99e1dc6f696f9b3732ab6bac8e85d3fb3c", "14bb9a1eaedac0e53b692031008bee529ff30ff8", "b5a8c7edb2ed81ae415b231b975c205e5c4c08da", "7ee7b0602ef517b445316ca8aa525e28ea79307e", "7f68a5429f150f9eb7550308bb47a363f2989cb3", "b1c7a6e7a28a33ba9c6d05d3fb02dcbd77ff3fa3", "81b0550c58e7409b4f1a1cd7838669cfaa512eb3", "5ca325182e134923de0bd59d38594479c551aaa8", "32a9569f90ee6254ca7e21116ffc0082422260f7", "7a09f2c222aba43649ca654761d37ff1b1eb6140", "7c3214dbf680131a871a1c03434bb8c297f9b8bd", "1c99c06f346fc035465c8b215e74f0ccf67f36a0", "9632509db75feefc1a6945639946122126ce5f64", "6d645c56ae493249bc6a4f8925eb686527ec82d4", "9ca542d744149f0efc8b8aac8289f5e38e6d200c", "08446fa15b2e8bd5bee06ef01c7fe2b419016da9", "7336ddab4a6ae0f8a3db4023e859fea6870e828d", "f8c9a3412f3c74ee4ac1865bfc1da3ccf3b2b3d4", "0e7eaa9e5602a20a2786157b8249964ca7e85eee", "dfbbe8100fcd70322a431bd5d2c2d52a65fd4bbd", "8602936e6dc8684336a5b9441293ec032e9fc351", "77e5bf7786e46e03155eda73c29dc80a1312d49a", "081c6bb197a3a593fc471aa8d24f540cd28b18fa", "bcc346f4a287d96d124e1163e4447bfc47073cd8", "f7e131796418a79ff38f426abf5acb846230708a", "3858e5175799b97805b2b70ff54e8a7e0718870f", "3e7070323bca6106f19bea4c97ef67bd6249cb5d", "29088f1c9cda9c4a7b75d7aa365aecea003b7a28", "6e87f48c283d4e7df9f8f69505d1c54714c02a17", "55ee484f9cbd62111512485e3c1c3eadbf2e15c0", "308025c378aef6acf9fe3acbddbfddcaa4271e8c", "405ffae3b7a7702e77418de5dce0337b0596acc4", "bc08dfa22949fbe54e15b1a6379afade71835968", "30f6095e922d56972e59eb181c0a950b5d52a04e", "fded99a29bfa03d02709dd23f49b04ce3840af51", "18f57228614b1ea0f42e1376a78b94222e81bf7a", "81f101cea3c451754506bf1c7edf80a661fa4dd1", "ae73f771d0e429a74b04a6784b1b46dfe98f53e4", "c0ec7e694a976ae1b9444d435614bda0006cbf4a", "0509c442550571907258f07aad9da9d00b1e468b", "63ada149373f27d1ded6df24acaa5871d0c3e379", "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "5566f5c364a3e9322f814d67541de0271a6d1b59", "462346f8e30c54a5211589dc99164162e4b1e8e2", "37f35a05733e11cd490897a3c6d906abfe5ce434", "4fea55f4b75633edbbf7889592959fe74afed564", "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "840f2258318d3e339caee706c51c514d156ade8a", "06ea877e7599c28d043fdbbcb6fe68b032dda008", "0912ea64eb6e1938c421566688b5eafd80d8f968", "b94238a31edc961d78cc48292c58f8fc39dfa008", "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "2b102276e1d22b517cb482929b8c58db88647d9c", "aa358f4a0578234e301a305d8c5de8d859083a4c", "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "72b619c805c2eb830c7a728f3c97af124807f7f5", "1e122a4f97da88faa0472aa2b0aa994779e910ef", "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "540cc9b479ed60065b1182a94c02b34c75d76823", "bb827b7e998f3f7ee944424ad783523025b41abd", "90aa877941f70307b57e07c954c0ff1fe4d4b678", "aaaead632a12b372a91ce2ca5810d98234a82a39", "712d25810688673446202c43bd3d872e72f75bbe", "c33f02a04c7a7b683480e126230a0487ee0a1358", "abc81655428a91d1977907c96cedc3539949eb72", "06686d25a6a7fecb201b428260636e2265f71238", "6c4d15898e48a60a70969ef7f42d0b8aa3d0cb03", "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "1fe2ed65bf8605e286ee04d51863e4a7cf8a167a", "865efdda03e296a5936c883b41c916333e008de7", "4085520db76eaf952a402d8018dee969d54dbe97", "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "be7f24d4b3360ee96f691327951a22e79b7068d9", "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "be21cd7fae28f04871ae69e5167fb676ee17a08a", "e7975261539329e83a4b404c0da177f78c00dbd4", "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "a685a6d034e32f86cd97948ac27eadf98d127c7b", "938dc97889fe5b00eab73b5a7a40b707c0cfa681", "d5d5a5f565b007967583dc18fc60ff793518bd56", "fa030e4b18e3d19336fdd406790efce04ab49524", "c229b92d12fc678c05db49b89bb333d1ff563cb6", "7719db31b1555addab9dacfc7afe9f17cbabad8f", "a8d525c513273b19dfb93ca969f664ba4baadebc", "d257a85d640e6e409f74a7074da078f343b9ec8f", "c451df8fddcdb3ab95c0a8392c82c0799817f461", "6b9a188848b7d482b308f6852860ca20124f0d1d", "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "1aded58a43338e651c00f2771d845b7a61b40190", "ce9321feeb4239ba69604a6b729abd0dc876f325", "0ad6dc4554fd5c0212993677c160af31fd27e243", "a959bb513ba066fe7852395c4cfe67d2d60a7493", "faf0fa6d706c088861288ad628f75ed09d924c85", "0b6256f1d669e6d26075e648da219dc7408797d5", "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "cb733afac3a9a17463645ceda19406a684a19883", "6282e59f5b40464df3cd66a8e7002b4645d4bd25", "782bec7177abadf8b8fd31392edf2477caad8a15", "4b04b2d5195cffa31a522cfded0f9c8aa3da2f23", "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "0e72248f06182700d743a5c4a8ebaea9237839a0", "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "f4f2d93b3de67f08365e4d84067694d27f6030fd", "9bb00be1b904d162a6d3911897f89e93987a8c90", "a023f0e18bbe770d9480bd0c2c4915b8b21c8655", "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "814d60ed249c62314d389e8b8cb7d6794289b647", "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "c68f3b6ab8782427cab32b474a094416e108c1e8", "94ead3662a08a3118b2958a5b4a168a4d034df53", "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "ff51b5c8503ffb397f2e27276fc32cd7801c8c9e", "aaa47aca53ccf00ad804b3f9702a1f647c5aca2b", "b88e0c3a6a95e5193085a258cd281802852e5a4a", "528c03761682f73eed7d736c19551856fe92b1e1", "adf420d3127121a3268c7229f30fe6e3a01ea981", "359742c64ed3700f021cc72685aca41c7ec166e4", "7224c8f554de5fd9daf803b4bf03adb9a981fd3a", "36d01ab112e0904ed59bb5cbf3a05352547c5a1a", "4bf455b329fe6b860e8936098d83fff246f207a1", "d79121a03584123fad02c4f2607f0e63d08ff7c2", "67f8af0085eb6b68a41bb2044f4ddca38b78b109", "65d588e2ff7b4f2903efbeded978885f7da5d0e0", "4387998d52fedcab7d3d7144662787152e212893", "5c7db2907c586f4f2d6ae5937b0dc0f4d1bc834a", "b285337ba61c2bb54181dbbb4f4863efe1aa6ec2", "6c8a7e0cfb8d41152c1b3157da612253ac45256b", "dde15326b39e5a048c27ec22a2dd3d47959afc56", "4f567a5f0a8ab016e17838990cee66e637fbcdbe", "3f50b80eca9d15b5626ec05062c48149e98ab3f5", "6ca21247f5963f6d459e09278812d60c35d10335", "2ad7100498f3e4d00ec4424099b90fddb659e972", "07098ec7f9b66ddeb21314fd3630a9e45decdd4e", "b9054aadbbb91f74d373cc82d70b7c513e47139c", "1b921e9a08cda8c495d546445c7ae5d0897febf3", "20be0f8992db53d3fe88fd3b03d9768da6e256cd", "947bd44270618f5a1b046b68f1ada3c11d97b440", "2e0eb98d045565978f048d1eebc0f0f2fdf020b5", "e4511fd8a4cafcb270df76e594017dd70806f29d", "582ec12e629b2efbe1aae96fd331404e7a9a855e", "6583e5e9c01da5d70a9ccba799fd53bc4ec015d6", "2ea46531f7d837c1e4b9e6a8d8fc084c6e526545", "fb67fb52b723a64da6b22344e5f92dcf36b263f9", "2bce7f8a53fb8ec93dd218dbdf55b48ac54ae8b3", "9a00aa841e631589fa5c4b3ac4107e4dc9b25f3b", "241b86d3c71d14b8cc6044a425b047a0724cfdc9", "93c3f187629edf79800c012e0038736d69fad90f", "009678c2034cf4a9924a78d533d2ec81303a946e", "9ebf3afd384cc9153e00f823a3d79507fdb3b5db", "26dce5da1b49488c7a25a8841637c97b66d4cc00", "56c0f83b7f6a3a9edfa9dec3e2ff65baef089d74", "8e3e61d1b14360bdf7a5c51b3be77bfc9a4823e1", "040ec1bab630b4609cb55c3e0e2dbd4c3064d8c4", "0dcff2dbf287a6e2937f495e1cd887297863296d", "b2d96d82d9504fa3e0880b12c4b1c048a7c3afd9", "c458e611c0606771b508c1a8bee4435e02ef0eec", "c55dcc587a53ff82cf3f79d84e7df67f4c8f77ed", "50ed931266a22bc166afef38f4b217fe9b4d5d74", "3d32f5e055d6e441d059b1f55b3cb3c1f5f85c26", "794fd0fb684f90704e108677edb40d3ff6a85f8c", "def569db592ed1715ae509644444c3feda06a536", "6fefcfdfe517e2e670bf345bc2a4fc2c52a9db35", "5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a", "b2ea00005c5c8a900ef64fb625b7e7b9f766719e", "128e58c0010637061d4d6e8320a792b386109493", "799629203a7055764380b12b0406b94653de325e", "77a4096c59f51711469d4a2d8936fc5ef62ffdf8", "a2cdd215586701c883dc3959c80f53ee5c091fe7", "36fa002f36e14ab7d24ebcdd99b6589ed726b383", "0f5700e8aa4cba32828ca12cd4e3732a33148951", "b97cdc4bd0b021caefe7921c8c637b76f8a8114b", "07faf42fe021a0965a07ef7273d89a452aec6b90", "745ec003b7fbeb52aecd00c41ac889fcd4d88bcd", "07dba01398404a8fcf2c78158166e1d51876d933", "678b367b2d5250f278c994238bbf816098252d9d", "fc27c2c8a2486f5918451fbef198f46b5bf45d2c", "3f4377109a92cf4e422b7e2ae95ef3144323ea72", "0af15b37d9a24c05df92d9004d11f78fa69b00c8", "bdd85b0db321ed22a3b2dc77154dac8b3ec3ad4d", "6b4da897dce4d6636670a83b64612f16b7487637", "1a5d52e026f877f682bec19d0edb81aedc6e14a1", "fcba7fa09f8bcbb203cf09b149558dabbfc47d13", "315ff3853dd408b765fbf83344974eda9ac37705", "2a56a51490f6ccfaf6fcbdf546a5515bef5203a1", "3f0b5ada4ad2090e788c40a8f6f33ed4fe539eee", "a33c5b508c64d1b01f3d4567835de6a4242b6911", "ca8b529e389381c8b51ddf83788b7a3eafb8f859", "67610fad509a008cf8e9e47b47cf8468b4f0a5f1", "6cfb2876161b21e9de46ade1dadb7779fd1ea7c7", "456ae882c62434974448c37086b01fe707e04f5c", "186370ecc1f05ef8d3f611873a039fcde3af68b5", "6245c9eac2de0a8e63ea658c8fa1486ece855d8b", "c12b241a8b6fcd28c6af8ed11c3746fd2a6fca0e", "fab0d19c58815eccb0db7215fe45d6a32066ca1c", "5481464c7058475da126796df43c6942ee12c11b", "22894791cb1e139177cef3fbb1ebda417a4b549f", "277096c5e536784da9856ac083a972715ce9f9c3", "a8896fa513ff0587e2e8dea0f3ef585d4d04feff", "9a3fe4631e8507e3409631d506de3cbe793f0b42", "6ade1e0d4744d2eb5bf7bab97289ffd7eeb5a661", "842ad1d5b6ea8a982be544b562ec91d907f879bd", "20a0f71d2c667f3c69df18f097f2b5678ac7d214", "4eb2903ecfc5dee98c5671c9459bcea71c59c79d", "eefeb9dea84320b1d9ae5997a2368516f42c2ce0", "66bd4056cef30b9d1e724c943b1c5ae959fab14c", "093b6af0e5f00f9578088a49822d8d500283cab0", "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "587c48ec417be8b0334fa39075b3bfd66cc29dbe", "5343b6d5c9f3a2c4d9648991162a6cc13c1c5e70", "616d3d6d82dbc2697d150e879996d878ef74faef", "9d8fd639a7aeab0dd1bc6eef9d11540199fd6fe2", "d53c5a974f9fccf18f3c8f7d73522d6ca7162115", "751fb994b2c553dc843774a5620bfcab8bc657fd", "1db45038ff49e4220a56b17a3b255df1c97b32c1", "088aabe3da627432fdccf5077969e3f6402f0a80", "685f8df14776457c1c324b0619c39b3872df617b", "07dbf04089b015db773fe95e664fa73aef874b36", "ff9195f99a1a28ced431362f5363c9a5da47a37b", "fa08a4da5f2fa39632d90ce3a2e1688d147ece61", "cbaa17be8c22e219a9c656559e028867dfb2c2ed", "facc086712a0255c5634c854b9d0ffbc3be6a6aa", "ad9e39cc49c41235740a3c8dca4578d73e9110aa", "a35dd69d63bac6f3296e0f1d148708cfa4ba80f6", "3107316f243233d45e3c7e5972517d1ed4991f91", "b498640d8f0ac5a628563ff84dbef8d35d12a7ec", "ada063ce9a1ff230791c48b6afa29c401a9007f1", "0991634b6b7f5b5d7045fe859c24ccb46152251e", "9a7858eda9b40b16002c6003b6db19828f94a6c6", "7957b73dd2ffc2b7d269cb0cbd442a0d5651cd37", "bcee40c25e8819955263b89a433c735f82755a03", "4f3b652c75b1d7cf4997e0baaef2067b61e3a79b", "122f51cee489ba4da5ab65064457fbe104713526", "10464196584476a7f3d887fda42444d08f5f8ad4", "0b6c10ea6bf8a6c254e00fcc2163c4b6fc0f1c3a", "763b5765f7c22adfe2baadea8e891562063a68ba", "333123d85fb8142e5942459d8000fe4db32829f5", "6b5cf028b9fa3191119067f087b189d97017d31f", "798d042a70b2c824998b3fc39a6e21799b588832", "034f7d5b3878f8b2db92a7cb7f12edcd5681eca7", "b1cdbb1bcba07082c7172ef9c99f5a755eab04f1", "7684b221e5875dc4f1526036375898f3d2407d8a", "3f2dbb34932edcb69295e57d4b8d6a8f68e28df4", "04470861408d14cc860f24e73d93b3bb476492d0", "c0afa514524a4cf4b1772c1738ceb6989bff1b71", "63470476067035a47bc14c217a5a458d2c299f04", "31f1c92dbfa5aa338a21a0cb15d071cb9dc6e362", "85c4bd014c082dd2b0e53adf8b128a5edf76d455", "b0771b7ca52022b37a563464f823af67c0b36c03", "65babb10e727382b31ca5479b452ee725917c739", "c478faecfa337bb2d37ac7c63aca47d4148ffc6a", "a746bf64f2950d290b96033c095514f3195eac29", "6b6791c0a3f06c356035747f7e5f87d54bc5a657", "22c392ef712fe5ac990b4e0322e0b0ae245829cd", "a9e53a7533c9c743b57b6668c11be0c73525f188", "c5e089ea32790a16a30b986f6d5c9583a346e143", "51c2c974558fe4e194ee7c81925580b7922add33", "429439611b809f364fe4a9d9a2239bfbb815529d", "361aa2cfbc51ece34be511986205095363db94c5", "707f3ccb8b1889445c54ac2cb6452aa646346a78", "2fb092e2f36f26e8cb9f8f3443046be0ff24f4ac", "602e1a579a0996142e1ad24345f5c1d5b57327b2", "4eca3e3c4876fc7ec81224d4ec2f159c9e7c72c3", "ec0239b3547639195c95d322632b6a83b648e8df", "f5f87a0bd3afc8372759f0995bdef7106381ab7f", "0ff23392e1cb62a600d10bb462d7a1f171f579d0", "87bbc0c2284794d88d0fef44b8ceb6c2e1e2c67c", "307dae1bfa57c0c5dcf2abd22f2e16f7e894fa29", "4df54d4758b1a883902c036b2a10ef6d0f2d4af9", "7da866310e9738a2d37007aa528463188d943ef2", "1a24785a6cb7f245728962cc46a5a491c7afe61b", "d8ddaddfd4843d483505718f3487e312310ba23e", "5f0b7245bedfc984b327b8e144c3cba9d9b2a807", "bd6333229199e7b4ac4b9ae7a7cae50ff9b9f5b2", "edf254f131ee6bb42555bdafdc4775a3edf3c28e", "b6aa10c634aeaf1af841ffcdb2fe7d3825f1870b", "530914de437419c103f7aa2cc687eaf53972d785", "0557776160a80a612541f0b3eb79b30e884e1b96", "7d2154d95380864f30ccd5842c5f46bbdf0e374a", "23b93f3b237481bd1d36941ca3312bb16f4beb58", "d0b876118eb1c9d0b397d29c47de904354d95648", "b10e2efc35ceae28e1aa463f44bc76f3b2d3556c", "92020e6540fe9feb38616334645a0ba28dcac69d", "89a1e42f645c657510eef13c151851f945eb3681", "1b7cc9137b493791f4d1e38efbc2074f8fb9f3e9", "ccb2f6a7b662fb1d6b8d70e01c615b4964b594e9", "04df36ea27f14f96bb1b33d76103d1dee7c6e0ca", "057d9240489746ad35bb73c2d1c86f5f27a733a2", "c1cf5dda56c72b65e86f3a678f76644f22212748", "e1b656c846a360d816a9f240499ec4f306897b98", "53b88d7b05b9986b3d8f10c0fdc647738727c730", "5150f982e12bedb4f3e4041bff579233a8164f64", "6a59d68bced702ffe02d46285982dd31dc53fc76", "fc1f2d9fe13c26f20d715aa738bf4302d4093016", "58386e36dd873d4e2c49bd522ed7f32d62990f99", "fb66546a16751810754430286fe4c636e4411ca4", "b349714e9eb089c3a756c03533525cb3d5a84ff8", "4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0", "425d8fedbbd64ccd630851cd2c2f618243977cfb", "8cc48c7e146a1cc8c6839b32b7692b0bf5dc6fb4", "6d0177bb1cd292a2ad4a14e7b9173fcc8b72569c", "5be6340c55d4a45e96e811bdeac3972328ca9247", "67f78b4b4669bae388f4f2c9660f265a987e8f22", "158974dc6503cb4939b87a1fffe17871e8a48c91", "340866188aa3865642d374a48f56ed2741b3b8de", "140d5459e2ab0499a3a9db41bc75bdfae81d5266", "75b60cdbaa2ab77b169ed0d1e478ebff07468ef8", "9e7f7e273be2ebfccbf43e20d2683368ebd7e5fa", "67eeaf667b5f948d763a8d2a7284b7a394145d12", "244293024aebbb0ff42a7cf2ba49b1164697a127", "f4c2ecc328a1e9ccd13ce785f97fc2febc0106ee", "a9ff867711fae973fe63078c8eaf759af44c0f26", "377c328e833b690f4788810e9877c80badc9b199", "65d9839ac30215b5c38c5fba22782985f6991d74", "60f1f1c56ff4e607bb34cf0e1407ebeadc864817", "a3d8b5622c4b9af1f753aade57e4774730787a00", "ce3ee08f4d937a6dcb2d6dd0a1ca100920f312e6", "312b807a24b8c30876c1750530b08e4d9627e231", "3514f66f155c271981a734f1523572edcd8fd10e", "fa66007e6c159c374de78f2d3e47317df7fc8214", "47ef3ae5832b3985e9f461b26428867258d4b261", "a1132e2638a8abd08bdf7fc4884804dd6654fa63", "230e45294a95a7b773a27dcc3fc52ad5e116f9a7", "60d4403ed3d5bebbf89e8627acb1768ceb29e8e5", "8ff73c1d0f4f0a190f889ad7f1ecccf709c25929", "d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705", "99f1a82f6439ae8280327f7a378512ec1488cd21", "04ef0b28534cdac18a2059f73ecfe940d6bed277", "cc38942825d3a2c9ee8583c153d2c56c607e61a7", "826f9e286eb0c9165c04bc5811aa7793050c7666", "6c2b392b32b2fd0fe364b20c496fcf869eac0a98", "b5a03ac5125ea25a9aab05577a382c740420ee47", "6a1fd51107770edbdd832a1934ff5461e891f2e1", "66aaa719c84c5ab833eb9cd8a8566d9a110ffc48", "a8c138225b8f768fda9c796f65edfaf53f3bc867", "3d59a9d07295173bf8b578d0c8efe7322df5701b", "239c06cd437832faa55a8e7292c50e45229a3d7c", "080d9658e40581c7ba8c0cc1d86d1157eda92a3e", "25866eb48b94e85fa675b1d393163d27ffd62ba6", "2f6baf1fc904f92834880264d6e9569284ad6487", "27b9e75bcaf9e12127f7181bcb7f1fcb105462c4", "c64502696438b4c9f9e12e64daaf7605f62ce3f0", "97946f13c1cf8924b0c1ce88682290ae87d630a1", "d8ce90d4905578ffdc6bd8665fa24d8fe90ef3f8", "6ca45b402a204351691c6f12a84cba3be1c5fd56", "7fd4e67938d02452e256c69822285778f95eb045", "fea7c360842121780ec29f4cf0f65eeecd707336", "ba3f4d05971d3d9ded23725846b864f5a8e8a7a1", "83984fecbf4dac1a6399c57e147015935d7c60a3", "adb2d1e241933ef363bcf03d865a9219d2911780", "d116a2a8e59e337fc132978d4ae99549c3fd8e15", "5eb2cf87852d84575eafa38677eb50b9f79005d4", "597ed9b810d84abaa30cf0ce4ea8893cb44e33f1", "7663fc96495d699e041f462642a07ba994fb9352", "e506cdb250eba5e70c5147eb477fbd069714765b", "c165a5e05ececa9a4b4efd55c6fbfede8a06a8f7", "e360a722400cabfe2d5959503ed500125f529433", "26172460c2c47886f8b0e141c15de29c9766bfbe", "d596540ba9402bf8cf2ffd168446c15cec12d6fe", "de1a5ce1abd2e82825a967b199e98480cfb8a909", "a6eb8cb1c35d0f53f8d2c9a404e374c01275544b", "42fc724ef54deb40f05c521db69e2f3becf9fa3e", "75b1d8339085ab03f45c0316b976755b6c5da9e9", "e4ecf4c117cbb4dd1fbcfe31d5076af94a51eda1", "f9b8539d48d6350435ab5550fd47451e779d2466", "6a8e4947a72c9c3b9267994a5b8f657ea63deb7e", "bdb74f1b633b2c48d5e9d101e09bad2db8d68be6", "bf96a0f037e7472e4b6cb1dae192a5fedbbbd88a", "f46097e264c7b0e47c4b1d1b476e5e6c1db9cc30", "1f56d8442452c527140909d9f5b857b7eb7c997d", "8f828dc79d32a4a7b3d3791b32718564e104357a", "ac57b04359818c17d416ee53ae05a5f126eca4db", "2199cb39adbf22b2161cd4f65662e4a152885bae", "706b1123217febf934ee5c33b4af27507a85771a", "34d44256d910861815373476371429a5f6f31c92", "4d1fc3245b05731a313e61165c1109f42f5b4a0c", "dbf86aca1b92ffda84110864a7ce9fcfde9f5f52", "236942bb64f1711b4763424b2f795fb518c9d8d4", "1c65f3b3c70e1ea89114f955624d7adab620a013", "9fe2fed0bbcb9e41e058031b98e7247fea854bac", "66c989bd4cc3c9bb8d006d239664a82006ab0615", "f2b13946d42a50fa36a2c6d20d28de2234aba3b4", "10ecc6ca956a3268d94016e6ec040ba0b6304730", "75753c1b07cf3e368762a401d591dcec6a8e8a53", "8dd839f6bd403f5d155267e2740db293eca8b5f6", "a192845a7695bdb372cccf008e6590a14ed82761", "73fa81d2b01c81c6ede71d046f9101440884e604", "16a431d87d0f01c6d70d2b7476dfb3948064b740", "511662e02373433c8c9e27d1425707069e3695b7", "2a2deb5dd30a71ab6366dc737359604a9c8f76d5", "867e709a298024a3c9777145e037e239385c0129", "15667845de2531b59736d866531728a771500d34", "dde24967490f58c8d10b2a00f12bf9103bd9b4a6", "90ddf36ded1624251acac0b900c42eed3fe37505", "f28e1ef4a0126207a4ccc16b359a41ccfefd2bef", "fbc591cde7fb7beb985437a22466f9cf4b16f8b1", "30aff559ad25dd3490712749793547bc89b0f103", "6c36965f46bb21a36f56a1ed2741b7bc4df55f8d", "79d899a672d4ff83f018276fb7fe6b1f4342e8b3", "2ad29b2921aba7738c51d9025b342a0ec770c6ea", "0431b78553b0ac6c91bea31ed866255697c8308b", "cebda64dda05fd13e54221986182e9d08a31909d", "ed1ca78784cb4752be46e0fd867bddb92dd02ec8", "5145e42dc46845f3aeb8307452765ba8dc59d2da", "75aef130afb8c862575d457db6e168e8d77ae4f0", "0cf9f33546917e2d0edec03037f1a084d75f917b", "13ef55829b636d248dca450bf4dbd743ef269131", "173a1110e3f5fe6a5518d7ceb025730b073bad62", "0315c68902edca77d2c15cfc1f1335d55343c715", "70eeacf9f86ba08fceb3dd703cf015016dac1930", "536d1f74c6543afcf2bc711befd82ac7886d1c33", "7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e", "48319e611f0daaa758ed5dcf5a6496b4c6ef45f2", "78f415961debaacdcbe7e4958cae28f7a922886f", "d92581c452e780710938cfbfa0f1ca2ffccc5d5e", "ec6b3d7ae26d241709df49734b4c1df9d2a27c48", "eae97767244ddb8bfdaa3b370ee0c00a3aecc8a5", "28f5db383ed771c40e9131229de707af844cf197", "013e9e0f712d8caa89dd0881ab8dcf90d687ba50", "500ddabbfa3bb1064b6250cdd3d5fe207f7aed67", "9945e46412ccf8a8d2f1d42bc3a5270ac71751f6", "51f9c71debee2ace4c9c29b78a01909f61875acb", "5d02f269e3b9764a3bf5d254a385fd61759a84a7", "184fc019bbec7f07bd9e34406f95f07faf7ed96f", "c2af954c89972a716968f97a67cc3841290937d3", "e9dc096762f503cfe0d56066c02d27082665b3cf", "b61cf5daf24c5d66110cf0ec6c32ca39f252c0ae", "fdfc73fabb7fb570c4d4ac1e29f3cce889da7f91", "c32b5f8d400cdfd4459b0dfdeccf011744df0b4b", "f4e6b45d5b41b3b85728531d9bf0a7976a3b9238", "6997039127d9b262d4a9aa9467c4f4fa3d596085", "fc3bc272dbd1ba62cb183db35133b0833b3330b2", "0aa5e9d2ff47585dbad5711482a388028899454e", "377a1be5113f38297716c4bb951ebef7a93f949a", "1ddd4a651389b411c2bd847146143577cfca02c9", "3bd6621394ec33f5d48fc09278b497add44cf923", "0e95f68171b27621a39e393afb7c74ef1506fe85", "d0d58e1885db56bdaa3890a1cd32c6d6a42f5f49", "faed896f28281a77d6847534ece9c97a3036e75d", "1c754b6cd6f672a0adaa1fba07a551c4cd79a444", "8e74ec37f1fa24eb9f112c0ed7b6d2c6f20383c3", "17dd242e6d7afb5d7fafcf9f8e8b201573ce4b89", "ea3503e9dc74b30b4c98a89843fe2ea0dc9221ab", "683fbd7593cf5c22ef54004bb89c469eab2f656e", "3f3acbe919d9324b379b13a0ba54d0035f2b5035", "4871300f1e5a58ce920e6b5be14e89c5da4aa4c4", "6ef97af2cf7d3654e294565c5447f573ff9e3cb5", "8c522c293ffbb4d8f451789e3f05f5815bf40b92", "7e3ea628b91cc32bda7da4c64195d510b9a7a617", "8c995bb3483feb3ef11a236f80f8a493387b5829", "f3015be0f9dbc1a55b6f3dc388d97bb566ff94fe", "ac8bd8663c26d8cc5d73fc91dd269c38d437f47b", "2ea47779a591d13e67bb6ff77af7b9f7194ba06a", "902cc7dd4ecfb2b6750905ef08bceeed24e1eeeb", "93ae6b140d7dab7fea958da3fe537b0c80334c30", "71524b02d3df6e017c92f7ccff73cc9b65ee2287", "18a9f3d855bd7728ed4f988675fa9405b5478845", "0d29ff45f000d2fde0a16db54ce7ce014408e4d8", "fbd338f653bbf348dd33eadac1f439be072c27e8", "53ebaaca2d09fa3d20b4aee6720781b1ff6fc6a3", "6ad5ac867c5ca56e0edaece153269d989b383b59", "00b1451fcfc14fc8109e8108a61819e821fc4ac9", "432326edbc598774315a0def91d1fc224d732922", "bcebb4ce6e4410a97e03cb2fc4d38aaf29e636e9", "5f26ab1b415e3cfa9d9f20cc93154939f3c28ebc", "4b48e912a17c79ac95d6a60afed8238c9ab9e553", "bcf7fb98ab0137d8a8b8a952819f5e13ec4648aa", "13f8c13cfbf2a504f02745bd44da4ac40fd8f8df", "b357576afb70465e47144aef96955b1e4b9cc1f7", "1af52c853ff1d0ddb8265727c1d70d81b4f9b3a9", "bc14c01ac17f7b3527435a650503ca26f3c84aca", "8ad9c753276254d4a3cf177d5c911b21892561bb", "92f0e02c9f4e95098452d0fd78ba46cd6e7b1f6d", "d4ced2086ccd9259ade8fabdba14e0e4d9fc0c40", "505ea4493e4b733352c921401a96d92b4e6d4448", "5454a2d207adccd04e4c3b4f38520ccac8a21d7b", "04d9abdae728f09e1d1f78e36a5de551c3a690f5", "5746dcc8164ab95dcf8569bd4f37dec58e1112a3", "1575e8413e86570b142b6e268aa945c2514a2420", "0f1cd34e77c141e75b02ad4f5b4c2dfcbbffc05a", "162c0826c27517309b7e27b0d1970e34c094596d", "422e01be2612b69d5b567abc3b218a01c1cca754", "0e5e7e5e04aee1a7582268d4d28b7aa91490584a", "62d5c16760018b08e301a940434c3fc2e862c385", "a69d98f4b308406bbeda6ba9871ed19f4b220d1e", "0cbc3221a07db517c30b9d6605cbe9d103e19955", "dc6b2c758c8fda9aa40138112fafbfa0ac50a193", "95a5cb872321addb28d5dc22ffad9586f113738a", "f8292dec6d60debe9d4da5004d5195a79255d5d5", "3d61557da178b6210cb67c3d8934afe1fa434830", "009bf86913f1c366d9391bf236867d84d12fa20c", "5ee42f0f79aa1394bf6d7f51ac9fcdd69ca66fb3", "d6e7217ecf6d163b087efc0dbb8b43de700bff93", "36c948efd76f58ff1a5e42a2b69fbdc04913f7c4", "c3b3636080b9931ac802e2dd28b7b684d6cf4f8b", "5c717afc5a9a8ccb1767d87b79851de8d3016294", "cdcdaf29cca23483ee187fb0c480f3a3e45d9d30", "c18ce1d706b54010f8e8cd3f87c3e5f0f5950901", "9b305e918be3401e79c6dc019cf1e1563fde9a31", "47440f514318b438ebf04d9932f5dafdb488a536", "1e516273554d87bbe1902fa0298179c493299035", "d7d9fa9a5a57f9f3da7ab2c87ca58127665774cc", "1b544dc335311da2314444e9c11c4940dcd4edec", "df61bc3b712493351c9ab065d67fe2276990e79b", "b7deb56d090747314d91d6d5197a0162b0c0e1d5", "7125b81253ce09c46cdccff465b6066d8550c80b", "10a98632ed618c23c58af93e17d90ef654b1845f", "82ccd62f70e669ec770daf11d9611cab0a13047e", "4ce18536eec7917da848be6b5f783d3ee3d49677", "f884a67187929e7dda66091c13867ed0a8a36d01", "9040e6ed20a5e64885e59ea585373663c5551273", "1d3ad3f3a4336b51d3858cf8e05b3bb99730a16e", "b395e6a9f28c5acbf81a58599283753c033b9540", "26be80fcd89edd7d4a0c2aeec463d1aa74f5ff47", "11feb48d2c4c8f8a5ed9054d49e7a13b0f75f2af", "3c18fb8ff0f5003fefa8e9dc9bebaf88908d255c", "316d51aaa37891d730ffded7b9d42946abea837f", "bce61a182c7a1028eed0c0f67e779753a86503c2", "6bc4642c2b8108067914abccea3f48e18aec5200", "b7fb19677b8f6af81278f2e005667c5c6b44a2a4", "f822342fa7ff901149cc18878bd79ab78e01fa85", "c39e7d03648c398e73e84bec1939660459b7c7e6", "175d6e5f9d12a531966f8a2e2eb13e849ae1b38f", "5fd9c7f6efa9902b926eaa8d49b8e46abf3af33a", "653f3d16a192f23769d277097e981f49b14289b8", "812725dc3968aaff6429ec7c3f44ba1ca2116013", "9cf1a5797c9e31734ae881384325cbfb8608bd7d", "ef032afa4bdb18b328ffcc60e2dc5229cc1939bc", "bac17d63893e8025d2410828f7411092192a3abc", "cea85314294f9731661a419f627cb99331ad9c50", "5cbb641f3e4a9543912b5a484c38cb89ba1212db", "47ecc0924c2a17a6664d9ff6c31e2b9b6e490294", "06834da1a4cd8df213db142501a72000912b8b0f", "054953d915f65b66485b653cd2ffbf61568b2849", "439da29cf857151f386e6af488b2d60c098c4fd8", "f04de7248f26ac959c31aedc7bcc475253585eb5", "d8c0f6ae4c23ecba187abdd217e0c10689bbf63d", "ff5c698e1f451c7e6fc4f036fb79ba6ff899285f", "f64d17d32ba3ab1277ff4edf025503fc3ff87c14", "9f259c58034279e73af473f1f47d3ae3dadaf599", "f42234d1efc179079e6cc6a26667fc942ed61911", "640aa9d6b87d893d1a75e3c49067b9ca1a2babe6", "14d00c5949bad75f888a4b8eb0f9385d71fe0be8", "034050422f90938a43e9cfd292187aef124fef61", "b79873ccb1c03375f58f577c98d5bd7a371da4e9", "ed9de242a23ad546902e1d5ec022dbb029cc2282", "e0e71b59a34c97d15e5ff148fb9a43b892d45bd5", "9ea0785c52b24a9a18a8d415d4f0fc3af9bc622a", "549afb73666202ec3c02a59de611387f723c1cf9", "45fbeed124a8956477dbfc862c758a2ee2681278", "b16ff1331f961b2067c9464c491b7cbe90694758", "f403f1e407ec2dfbe8481188c17ca39455996c99", "034516f37171e7e6cffb8afa84c1f5d6d12d887f", "01d71a82d29912e68cf5d86720da8d7187e209a3", "e7120dde20d8518413180e8e635cc1dabc5e8072", "2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1", "67faf6163bc7a9b29148add1950afe928719b361", "9841df3cc4dc89379039092816ef19af949257a8", "0edc70f3b5550f997d9011c6d4860feec136cea9", "34b124ecdc3471167cea1675a74a0232a881bc69", "03df507b31691baeb7343d3eb70d048943e2d4f4", "0dc34e186e8680336e88c3b5e73cde911a8774b8", "5aa8c64b00ec1d8f64da8deb4d3293874ef9a863", "8c6c0783d90e4591a407a239bf6684960b72f34e", "3fa9bf4649ff5e0d63ee20a546e8814f3a93ca4d", "afdbbc5c84eb4e535c7c478b5227c0138b57af64", "41a6196f88beced105d8bc48dd54d5494cc156fb", "8173c811950c1c357253b3ed7c9afbb21ce6874a", "380b8df0f340e5bbc3a953c62f9bc573ce073b92", "4cf68a0b1a3f49393a8c11f3a18cccc7912b8424", "04af8a7b2a6cac581246622c1d89ac1ba0d769ce", "15acfd430b06f32d17c27be13e7a74bd0c09c0f7", "545b95c768fd4c7b0f2a957359fa00acf97066fe", "bff354d05823c83215183c8824faefbc093de011", "301897fb2020b8c414eb1d93a0ec8fda4123476c", "412ab6f96f0dd928e158d07aefb391926b3d1a82", "7a3676dcf55e22c7249eac7615174309617c8246", "29445acb03961fb27ac9221875c0a25171502144", "98fb18a3079087cc1370bc3c63aa73281c632df3", "0e790be2a341556d80ee34eb8abec966a2018c5f", "5b3d5d1e23298bc58d8cdf9f30b998cede5611c5", "e1e60501677ae67c6a682bac2c17e4fc904ee380", "76e834df333586fa9906afbdabb9a33bef98a56b", "fbb6ee4f736519f7231830a8e337b263e91f06fe", "c56bf47e288e2e0b47bb0d49c0f1c4dd76511614", "a9f03e4bb90addab234423994bfd8c25854484ea", "0f5830844658e0745e6703cd08d65c033a97e96c", "6a41ba9db0affa701ea125e09a2fe7eb583e3ac9", "68bf34e383092eb827dd6a61e9b362fcba36a83a", "a4f37cfdde3af723336205b361aefc9eca688f5c", "693e0da15094071de5eebd2f36f8b4023f91f161", "62692164113ccd9badd188a225318855c4f01898", "a5173a67c7f32582739849cfa5e07278ee6746ab", "c59aa0580d4d81e38463b87e0cb99358e99bde99", "a7790555c65be0fc5b5de9bcb1dc550f4919ce3f", "35b9f09ed66955765dc7703e9cada605948c71d0", "403d6a09c17268fb4bb0ae953107bf5f78ca9d05", "541a82917883657a9b9c069559e2d0b890904dfc", "17c0094c68d6efd19b80287c51d228fa50750f46", "563d507c86cf72c6c9745aca7393eb84845ae125", "9a15bb1a3b2f92ae0f6f5a6556f52077909fd736", "101c7bfc56091b627886636afcf1103c1cecccf6", "9c85d54a9f6c6a522a267bfdf375251947caef5e", "2debdb6a772312788251cc3bd1cb7cc8a6072214", "67e00f7e928e6eab0faf1917252778b36bf64e39", "626a38a32e2255e5bef98880ebbddf6994840e9e", "383faf929ca0cd928ace9e11970604bd03883310", "38e7f3fe450b126367ec358be9b4cc04e82fa8c7", "258616ecf878701824548dec916a8b5094e0744a", "91bdc706ad1d7b246e457870a7eb8caff87ec05a", "a6f82935311e5db41f262ce010ab71632ae886ac", "5b27cb504e61687fc2f59d975b3593dc741050e4", "a9bd9298839bf239bb7ef891d2ffdb2a81902574", "c592b16d04b27ad9a7d676f28a6a2b0649ceeb94", "64c1f5a833efbf6d520a529384014e2ea6b6d113", "822c7bfebcc456e3598304f69eb8f4a2aee46f02", "529e2ce6fb362bfce02d6d9a9e5de635bde81191", "c4d7c6f4b294e26e619b5ea5c90b4f9136a466e5", "c258c23d30af319d363ce6d229c664ae08bc86d7", "0c5b32acd045996716f66e327a2d39423446a220", "73a7ccf0facccd8943f7e54d19478f2bef9b7dab", "a84d0b681bbb6c42fccb26036af689d682a76b4f", "d39f311f1ae08efb6cd50bc5c0efe06532caad65", "2431e8f4c01581e51a480f822971b81470979c45", "a30e987e9909a4e307c35809275cf80431211f22", "77052654a37b88719c014c5afd3db89cb2288aeb", "70e14e216b12bed2211c4df66ef5f0bdeaffe774", "de53ec6f806982a4940452428f9f6ea94a85ae68", "10916d4eeacbf63a178c229868160189c6ce8850", "6eaf739f30ebbbe827e5fed3bdb7aa73d1241b19", "f03160078980321466e57fe4c5adba1f2c87ac61", "14811696e75ce09fd84b75fdd0569c241ae02f12", "dd72ed9a30e4d04703487df29a8762940bd79967", "23c9fe37fa0474967be4cc6c7a310dcc87b86b72", "6af65e2a1eba6bd62843e7bf717b4ccc91bce2b8", "41b1069c06735a20f9b4281001285ee2167da309", "774c8945ccf0f5315482abb8cf84ac5d37c60aa0", "b7207c142b0b9f4def3ae7cd07ce50ca31d930e8", "9e7646b7e9e89be525cda1385cc1351cc28a896e", "e24d6b40e956e11e5f0a972dca6e8a3a337d502e", "b7a827bb393361c309fbba652967dee11d16857c", "bb7c5a521607a02e7a291dca7fc33b595c3b7bff", "47bd6c1d7da596d3cf79f06ec0de816d10f11beb", "1565721ebdbd2518224f54388ed4f6b21ebd26f3", "28aa89b2c827e5dd65969a5930a0520fdd4a3dc7", "47fdd1579f732dd6389f9342027560e385853180", "04616814f1aabe3799f8ab67101fbaf9fd115ae4", "d487142a7b8c84cb47129d91d5837345ccaa88eb", "369634f497852e05d5e72b12874e2a3db2d3945f", "b6868c44202cd57b2ca7e2b9d654f0d9fdb3b61f", "4a7c76098adcabecd66bb5059a8878d1b0da68de", "a98316980b126f90514f33214dde51813693fe0d", "ec6cef66d5548514c2df6dc5d365793deb8958d5", "c8da81fb5551941295ad815051d39dc461008751", "8d156f3b4f1ad5d041ae9f50a0b879e25c80749e", "8bbdafe007c9e153bac5f3a2e2d898e0a23b95e2", "8139b28693afabfbbd1c5862048888d8e8d77406", "e24ab3b2a7b5938a48ea3c8c4bc29be2b02299fb", "83dc0675cf5ff9f9a4e07e4e20a6bd9642985949", "df58cf3fe7502a91a7d319be11680ee5b1c78e6d", "9947687ffe0bd2d6cd4fe717e534cfcb59302a4e", "88edb5a15fdb10fca4e8275016726210f1953421", "5f92de3683b4fee28ad3f431c889e7c8bff604f8", "2e58ec57d71b2b2a3e71086234dd7037559cc17e", "3ea1057e765431733532e7b70e6929c75b977aa1", "39674d06b0df1df8d29f7a68d6588d5a94f1414c", "2c86351363c59d0f39f9f0296b149aee50047ee8", "446f003afd16aa932aa87c73543348f62eba0e67", "ce4a7531113d193f14fdea87d59cfd965ff8a845", "1efd06c3ad14dd94c3f7c10e8b54fcf4ce5201a8", "b5857b5bd6cb72508a166304f909ddc94afe53e3", "65a8c76a25c1eb95436bab22e99f78f6b390c87a", "1a7db5776181155f90bba4df97cf3206ce0271a9", "80c8d143e7f61761f39baec5b6dfb8faeb814be9", "14a01628169a3a060b6af5d5dcdeeb584b648abf", "3e5917055297a6e9cbb5986fdbc0c345602b02e6", "829a9912d0cfaba106d1d594caf8aa97f9ffb318", "9f42dd958afc027d42843945623d8e0ddf4185d1", "9ac7bb9be33f41d02754bc33a39974496ead0b27", "b12deb63a8964b3d5cd6a95f0b4860bbb377f630", "00091891790ee77816ebd785d25900254e6986bd", "4500888fd4db5d7c453617ee2b0047cedccf2a27", "67a56dd94906a5460c263e1a1b87fa3a52c4b453", "f67f33f0d739310bcf21ce79098041ffa5ffd6ac", "354650dd4057808bb8e6f080186ab9b85702b263", "ba1d0d2cde169bfef82dc271b580ed6688982e7c", "2596b967f0768b64a12e53b24661ffe8f2ac4d1b", "66a153048f20a04ea46c0bf442be3eb4d56a2d30", "13f74a94d492919a1ff13af16e2df2ab1bedf04a", "26c8ae944746d91256a8b9c283030b3b34a2c929", "220d62414053519f7b9a6aecb4aa9f775014c98c", "7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f", "c526f3e27c7d8ed5e07cf57ab378f17e1c548ebe", "d462d514c0a177eb82aec8175bf431189218e393", "034b8adb06a8ea330581ed8b733166c18034c54c", "89ee33b78797c0d6219d31200424f88ba8fbecfa", "75085220b42ea4a0ce5f269fd64c5414cb423e40", "1063708776b817751c2054e34a33efc9ca39c41f", "2c2786ea6386f2d611fc9dbf209362699b104f83", "c8eadd001e5c0474ed02428e79e8d2071151bd1c", "b4b01120b61a00ef13f8666b0cd93d38a57d2b58", "4f81f0c0019862046710d70b6ea880f989949e9a", "1a257ff73b1dd95f905dbbce9bb233033d09e959", "3073eff17368262d7c605bbcaf3b2fb015754d39", "8039c28bb693b872c732bad66eab34663df88f35", "6bcd9143215bb4f1bde742fdd0d3969671231831", "488d3e32d046232680cc0ba80ce3879f92f35cac", "8ed32c8fad924736ebc6d99c5c319312ba1fa80b", "087a507075819e5b7ad886fad3097b23470f35f2", "539ffd51f18404e1ef83371488cf5a27cd16d064", "d8c9c234cba6771f7d8f794f3202ead9a7786647", "656b6133fd671f129fce0091a8dab39c97e604f2", "1c9a86d0b354e412da4b7c76fcd9cce716c8b09b", "52d349d2dbd86ae697cbfabb058b069b5d57ff84", "07c47160ed02e28164b90fb9659bf2881ffa79f2", "9660594e91ca3b37e573a0408f3a10f5107e443f", "3ec98dabbcf440db746d4baf6550e44e12c5ee76", "bb80f32bebfa25c5999a43af19eae7cea8c183a6", "c9d272cc836ea5bbe946718d2a4f8b3d57a6c811", "06e768d74f076b251d53b0c86fc9910d7243bdc6", "0c17c42d71eacd2244e43fa55a8ed96607337cca", "e3e49e5807436d08c01cb953bfd845b274c4a85e", "72458e19f8561e74471449fb4cfd97c8b9b527e8", "4798e98fd4533648833c491b1ba289e370757371", "92f4d324150c8da468829d51d1df8f659752f5c4", "a1be53dead395b2d83a4009bec76729fce95af83", "e30b70282854264cb8560da0352d8edbd2792439", "cb53c8a85d58ccb2635be5b7ff978ea6e8b78cde", "1c17450c4d616e1e1eece248c42eba4f87de9e0d", "d0de92865a53576af3dd118f4d1fa73be12aee9b", "de48bb3a9974f6f1ed2aa36d066150015f9f8647", "0ced7b814ec3bb9aebe0fcf0cac3d78f36361eae", "16404d38775e2e8ddcd28e2ca6e79cf8a82d0d9f", "8c269412a8c9e646641750dce2a1b2ee7b9c6b2e", "26a5136ee4502500fb50cd5ade814aad45422771", "d8f7b26d25a026fe43487b6f77993e11b8b333e0", "d65bcbcddec932480c434f0ffa778e429cdd4ee7", "f2da0ed6dcb86a8c0ddc8c13245272a726cec480", "e845e4da77080e61ccb785c21b2bfeb6fafc3806", "3a846704ef4792dd329a5c7a2cb8b330ab6b8b4e", "4b9b39bbdac95e24773789f1bb543149116cdc37", "978d9a5251028da5a23fd0aed8234ed22b4918c5", "3ad9f6c1d10a2d1e86c93a4182ee3b260a6f3edd", "fc69b65c7d03da6811689a2ca825c1bcf62cc7d9", "4a1d0719d360d2d4ac020ec75a63129bc9e5114e", "9c5bd5e27216f22b6dad96b04673e4ca63d0604c", "1dc07322715e093c560b30fdf1e168e58e9a9409", "3b448e114097439f02bed44bceb6c8f823ba5f51", "82766851c790a5225f3b932239e831e1b60f5ee7", "a19f927f79d94331914cf4bf77b4617d9cdb345e", "89efe00633f660b75ef32aa246b36efd85619da1", "af97b793a61ba6e2b02d0d29503b73b5bdc2150d", "ead6645a3b3794edda3c92926208a683008924ca", "810ce6d1a3fbf6fd850b0ab75f4a86db02926dae", "c093506abe0d4a9fe2abc4f7bb0fe03cecaca4bd", "98aabc3bffe179cc5b6d8137493029338f470647", "3548415e23b536b9e41aa3d92c18880f38a1d80c", "f6cf220b8ef17e0a4bef0ff5aadc40eec9653159", "568d65d0d8ff878ada581885e94eebb9ca96fa59", "61be827dcbc2f9e6e7828042e77bb13b11b321b4", "1665fe64f8439a1854595e2e73394517d44c35b4", "192723085945c1d44bdd47e516c716169c06b7c0", "677172a408cd8378261a96d888a5cebf68193842", "891938a103b72bbc9f277a8106acff72e7f9b6d5", "8ee80acd51f30ec64e8f356764ed245478151ab4", "68003e92a41d12647806d477dd7d20e4dcde1354", "68b01f77c7c4c09c725ff8a6081aa20ac5fbbb39", "e5c4b75cb79aa5155ffd9498b3fcc790eb794e72", "dbee5b3340573d478244fb6ff4ddaa989dd11d50", "dfd94ec697ca1f16b5171e884626f014d2bcd754", "3d5b8127ce57279f9fd77d3a24d8034b485163a4", "7e48711c627edf90e9b232f2cbc0e3576c8f2f2a", "1d9bd24e65345258259ee24332141e371c6e4868", "a61a3f7870f7cb0ff73fc9470b28ed94692efe74", "bef6449f2c508324774316e2989d58b1612fa49a", "ead955a336df22f4d5f9e467dab1fe87542d7f9d", "2eba2865c0ea8d228f5289b342dba4fa163fae17", "36b19e6bf2f0abc0387052436956a25b37488134", "fddca9e7d892a97073ada88eec39e03e44b8c46a", "a7beee421dc8f074338f32d7d8bd2c40a39176a2", "f5c83679b73ab59c2ada2b72610acdd63669b226", "13b8800b6ac35e80881e369961541cb6c110aba9", "12b3116aee4c8119f6d822bb32637ecc57704f3c", "aeb67c789430584e6ff34cf22af0d72b32c83ab4", "fdc60fe4654b5efe0752acabef0ec6258062be0f", "6f25be3ed3b3f872c373b151713b0a0992053c90", "7289a44c2714c75eed6bff46d9bdd399bc6f8ac0", "2cc0e431d7cc0bcb926b9a19e7be8a3592d670d4", "c9fbebe22206c7501948ed6646154a377f24b6d9", "2a4676ca1f805cd90aaf2b3193399f5ac2770987", "9eb52cca3ff73def20a7d51cb1779c32ed193289", "f7f6eb91b6ad95a3b47c0ec4ac02f323b98cfcfc", "16d7ca53474bf74cf242472a5cf7f427796fdd04", "6fd3bafa25bf6d376bc9d1cc1311eb260d10d024", "2f7d3406a96a5f409872e13643463a4896d9a009", "3316312af29a7c2c22c9653e63d51564e264b6ee", "6626e883c82914d9fffc0761e2eddfdcd3ffd96d", "0957189f98fef283b05a672177465867600dc5a6", "0d1b8977d9390470577fb595fffccf7c1aba06f5", "146b852de824ac9e105175ec0d82346e9f9cf083", "ff4e8a8333e4ef506318160248c068250963806d", "66fb1e7a65abbfa171a3fd92dc67006490df7450", "baac597e78beadc5d38a8ee5783faa3d658b6649", "846a25af091b5a7dc0b643d826455a80cabdfbf6", "cd5dbf0a6bbd6be291b53f17ae77656ae9c4bb7c", "719eb145ba64d701b6de2f69608be2e70e300204", "a1af05502eac70296ee22e5ab7e066420f5fe447", "aaba2a04c025f12f839ac71fb248da0dd6985d58", "2608a2499819053468f4e6f77a715c2dbfefdfb0", "1d8b85d7fadc62099eb15c4462379b2167538a7a", "3cf4bf6068da630fb4e4433f355b776f4aa4b8d3", "4e4ba3783e7fe7dcf4a3b4de1fe1d5b603029f3a", "021b38f989a7140e17babc194967dcc7ab4809ab", "c6d6193c8f611331c8178c3857f9ef92607a4507", "3ac173183f968a7f042d0b779009ded2af76d0fd", "18783a40a99f36b3bc618be6ebf06923fd63efab", "1adb6341dd9bfe88d631009992fe8a4ef80e2f2b", "e7b81c3d22fd9735d807368dad28bc2411d8371e", "45e9b5a7dba2f757567324fe35c2f2db87b015cc", "90a46cf5ca0f13154864aeefe3e8e30e9fde754c", "d690b0fc5a9f0b033963afd92e70402ddf167839", "6637404f65c0896d5b52265bcd4fa5433fea1db1", "f52a5e4e21daf4156bb0eafaadd77865e56a9aa5", "810f5606a4769fc3dd99611acf805596fb79223d", "82224858677af47b8c836df701eeea8fffaec924", "63d595ca536bb42b4d79421557c927c3289e1f76", "6eafe3fd654a18ad8fc15b2351c4921839587374", "9c6dfd3a38374399d998d5a130ffc2864c37f554", "987a649cb33302c41412419f8eeb77048aa5513e", "c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8", "aa1607090fbc80ab1e9c0f25ffe8b75b777e5fd8", "7e18b5f5b678aebc8df6246716bf63ea5d8d714e", "67386772c289cd40db343bdc4cb8cb4f58271df2", "bba281fe9c309afe4e5cc7d61d7cff1413b29558", "4d58f886f5150b2d5e48fd1b5a49e09799bf895d", "c8292aa152a962763185e12fd7391a1d6df60d07", "052bd24b03bd2acddf0aebae8111d4d2021c56b9", "af44049d138b4f0a3cd4664dc6e7ecde04a754aa", "1e2844dfdaabaf555fe6fa3162cfe454a4eeb3f6", "c5b623805ad8a2ef49ccb6e9b08d394c83061946", "e295f31df11ec700851c2413b9bba644a91b0629", "4f6e1fe403b13279cd4674615d6d07ce002c9dec", "851ff9fe367ae63e9d46e4f0560d283da81b361a", "4196e0b77f88ea01cd868c535befb52c2722454f", "ec0758185c9d565de715fa7cc03e93809284d9ac", "9c731b820c495904a6f7d255d7e6a3bf9e5fc365", "c7822b90a04f25e06d2fbed6b72a5ff89ff22c41", "b1a6a0fdb4c12d7e083bd4d828e0c469dec53205", "d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291", "864d50327a88d1ff588601bf14139299ced2356f", "2ee8900bbde5d3c81b7ed4725710ed46cc7e91cd", "daba8f0717f3f47c272f018d0a466a205eba6395", "3cd22b5b81a0172d608ff14be71b755d1f68c201", "e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc", "c2b10909a0dd068b8e377a55b0a1827c8319118a", "41c42cb001f34c43d4d8dd8fb72a982854e173fb", "a462c8b259724bc96a1e45e640e4897ce6a7ae99", "cdeef3983bfc6cdbea25cf720fc95e021b17f826", "42ecfc3221c2e1377e6ff849afb705ecd056b6ff", "0294f992f8dfd8748703f953925f9aee14e1b2a2", "06b4e41185734f70ce432fdb2b121a7eb01140af", "20a16efb03c366fa4180659c2b2a0c5024c679da", "3ca6adc90aae5912baa376863807191ffd56b34e", "94b9c0a6515913bad345f0940ee233cdf82fffe1", "7ed2c84fdfc7d658968221d78e745dfd1def6332", "ccbfc004e29b3aceea091056b0ec536e8ea7c47e", "9513503867b29b10223f17c86e47034371b6eb4f", "c5468665d98ce7349d38afb620adbf51757ab86f", "b7f08e42ac37f38cbcceaaca82331ae7b5ac16c9", "de15af84b1257211a11889b6c2adf0a2bcf59b42", "cdfa7dccbc9e9d466f8a5847004973a33c7fcc89", "ea5c9d5438cde6d907431c28c2f1f35e02b64b33", "cb5cda13a4ccbc32ce912d51e402363c1b501b32", "034c2ed71c31cb0d984d66c7ca753ef2cb6196ca", "4ac4e8d17132f2d9812a0088594d262a9a0d339b", "a7e1327bd76945a315f2869bfae1ce55bb94d165", "7f6599e674a33ed64549cd512ad75bdbd28c7f6c", "b445065871695dc73ef53be158ae899587099139", "57f8e1f461ab25614f5fe51a83601710142f8e88", "ecac3da2ff8bc2ba55981467f7fdea9de80e2092", "668bd405c5095872d9b5ba6fd356480e00d4c66a", "d8b568392970b68794a55c090c4dd2d7f90909d2", "ddf577e8b7c86b1122c1bc90cba79f641d2b33fa", "b3c398da38d529b907b0bac7ec586c81b851708f", "8010636454316faf1a09202542af040ffd04fefa", "6e1802874ead801a7e1072aa870681aa2f555f35", "1584edf8106e8f697f19b726e011b9717de0e4db", "fcbec158e6a4ace3d4311b26195482b8388f0ee9", "4f03ba35440436cfa06a2ed2a571fea01cb36598", "a9adb6dcccab2d45828e11a6f152530ba8066de6", "18166432309000d9a5873f989b39c72a682932f5", "b58d381f9f953bfe24915246b65da872aa94f9aa", "2a4774a811ec32f005a043653dd15eb184d96dfa", "5039b2081eb3c8efbf9e96fd27775731f38f6fc7", "227b18fab568472bf14f9665cedfb95ed33e5fce", "8802c93aa576aeb689871d353e7bf25dd4515582", "ff0617d750fa49416514c1363824b8f61baf8fb5", "bbf01aa347982592b3e4c9e4f433e05d30e71305", "cd72f92420c6ec9123d4e45b3d14548ffca3185f", "2afdda6fb85732d830cea242c1ff84497cd5f3cb", "0db1207563a66343cc7cb7b54356c767fc8b876c", "4a2d54ea1da851151d43b38652b7ea30cdb6dfb2", "a803453edd2b4a85b29da74dcc551b3c53ff17f9", "1e0add381031245b1d5129b482853ee738b498e1", "2b435ee691718d0b55d057d9be4c3dbb8a81526e", "27b451abfe321a696c852215bb7efb4c2e50c89f", "5f871838710a6b408cf647aacb3b198983719c31", "09e7397fbcf4cc54ee085599a3b9bb72539ab251", "b55f256bbd2e1a41ce6bfcd892dee12f5bcd7cb3", "149890e8580d7d6b24b054616fa9c13c127309f7", "21cbf46c6adfb3a44ed2b30ff0b21a8391c18b13", "fc45e44dd50915957e498186618f7a499953c6be", "0efdd82a4753a8309ff0a3c22106c570d8a84c20", "8ab465c1a131ee4bee6ac0a0b19dfe68f5dcdcc4", "923ede53b0842619831e94c7150e0fc4104e62f7", "1d30f813798c55ae4fe454829be6e2948ee841da", "f75852386e563ca580a48b18420e446be45fcf8d", "964eb383c1def6d1139e80d98d12d788c700734c", "4672513d0dbc398719d66bba36183f6e2b78947b", "266ee26a6115f1521ce374e4ab106d997c7b1407", "8966eb0853cb350aa49e9769013fa3c942d35206", "ed74363c54ef59e99a983e85f02be9d263f66ffb", "7fc76446d2b11fc0479df6e285723ceb4244d4ef", "35208eda874591eac70286441d19785726578946", "bfcdfc11f9a02a47bda6e571f1e5aa8a5264b4a8", "2e0e056ed5927a4dc6e5c633715beb762628aeb0", "4b507a161af8a7dd41e909798b9230f4ac779315", "57b7325b8027745b130490c8f736445c407f4c4c", "4309faac3248663ed56a6a841cac1855e302f090", "49068538b7eef66b4254cc11914128097302fab8", "16fc82d44188eb49a151bd5836a29911b3bfabcb", "c05441dd1bc418fb912a6fafa84c0659a6850bf0", "e4df83b7424842ff5864c10fa55d38eae1c45fac", "eccd9acba3f6a605053dbde7f0890836e52aa085", "ee92d36d72075048a7c8b2af5cc1720c7bace6dd", "25b2811118ed73c64682544fe78023bb8242c709", "27aa23d7a05368a6b5e3d95627f9bab34284e5c4", "7d53678ef6009a68009d62cd07c020706a2deac3", "df767f62a6bf3b09e6417d801726f2d5d642a202", "60d765f2c0a1a674b68bee845f6c02741a49b44e", "7368ceb7f5daf549560b4bddde33acce2f8abcf7", "6bcee7dba5ed67b3f9926d2ae49f9a54dee64643", "bcf4aa8ced63463cd2e11d0a6f6bc1f1441207d9", "85041e48b51a2c498f22850ce7228df4e2263372", "4215b34597d8ce1e8985afa8043400caf0ec7230", "b3f7c772acc8bc42291e09f7a2b081024a172564", "6e91be2ad74cf7c5969314b2327b513532b1be09", "0a29cee986471b495728b08756f135a2377d5a2a", "d5c66a48bc0a324750db3d295803f47f6060043d", "773ce00841a23d32727aa1f54c29865fefd4ce02", "59dac8b460a89e03fa616749a08e6149708dcc3a", "d983dda8b03ed60fa3afafe5c50f1d9a495f260b", "27ee8482c376ef282d5eb2e673ab042f5ded99d7", "27c9ddb72360f4cd0f715cd7ea82fa399af91f11", "014143aa16604ec3f334c1407ceaa496d2ed726e", "8185be0689442db83813b49e215bf30870017459", "153c8715f491272b06dc93add038fae62846f498", "f58d584c4ac93b4e7620ef6e5a8f20c6f6da295e", "b5930275813a7e7a1510035a58dd7ba7612943bc", "a9881ae58987da71b4c1ce01ba213eb4be2eef02", "d9072e6b7999bc2d5750eb58c67a643f38d176d6", "c0945953506a3d531331caf6c2b2a6d027e319f0", "fac5a9a18157962cff38df6d4ae69f8a7da1cfa8", "b54c477885d53a27039c81f028e710ca54c83f11", "e10952addc41232aaea041fa48d360a3208fb9a3", "b05943b05ef45e8ea8278e8f0870f23db5c83b23", "7f8cef6ba2f059e465b1b23057a6dbb23fba1c63", "ad7b6d2e8d66f720cc83323a0700c25006d49609", "7c6f5a701988423550c1b7b200424e59393fa50c", "7c7dfc71122c99959e561b62a7fc2764f13a401a", "ee5fe44871f5e36998a2fdfb20a511374cdd3877", "56e03f8fcd16332f764352ba6e72c9c5092cac0f", "f95321f4348cfacc52084aae2a19127d74426047", "82953e7b3d28ccd1534eedbb6de7984c59d38cd4", "39a19a687b3182054b30f36f627bc6875b09dbd3", "c44a3374b99cd3db01fef1e14c72e84d1917ebb9", "4d4736173a5e72c266e52f3a43bdcb2b58f237a2", "41272037f6a7a4058f9c52843b9025b7b3cd13a9", "4d01d78544ae0de3075304ff0efa51a077c903b7", "e5c687c8c84f1cdb9d9fbc9b6ff7518ff4d71056", "a200885bf6bfa0493d85e7617e65cdabe30a2dab", "a03448488950ee5bf50e9e1d744129fbba066c50", "72345fed8d068229e50f9ea694c4babfd23244a0", "cd596a2682d74bdfa7b7160dd070b598975e89d9", "a0e7f8771c7d83e502d52c276748a33bae3d5f81", "1b6c65442f2b572fb6c8fc9a7d5ae49a8e6d32ab", "8990f8ea6441f97597429686542b9cdc46ed47de", "e084b0e477ee07d78c32c3696ea22c94f5fdfbec", "50333790dd98c052dfafe1f9bf7bf8b4fc9530ba", "8dc9de0c7324d098b537639c8214543f55392a6b", "ecfa56b38ac2b58428d59c9b630b1437a9ff8278", "325b048ecd5b4d14dce32f92bff093cd744aa7f8", "1c4ceae745fe812d8251fda7aad03210448ae25e", "ad77056780328bdcc6b7a21bce4ddd49c49e2013", "b5efe2e53aa417367314c1a907d0fe8053c71ecd", "292eba47ef77495d2613373642b8372d03f7062b", "301b0da87027d6472b98361729faecf6e1d5e5f6", "44d93039eec244083ac7c46577b9446b3a071f3e", "0553c6b9ee3f7d24f80e204d758c94a9d6b375d2", "e48fb3ee27eef1e503d7ba07df8eb1524c47f4a6", "29a5d38390857e234c111f8bb787724c08f39110", "050eda213ce29da7212db4e85f948b812a215660", "28109b46be5b0c065c7564b9c79e229477a71dc8", "a26379d9993073d51611588c36f12db2b4ecb39a", "8f8a5be9dc16d73664285a29993af7dc6a598c83", "4d7bbaa2c7e89d5ba6940ee5804cf10a6b24d6ec", "31a2fb63a3fc67da9932474cda078c9ac43f85c5", "539287d8967cdeb3ef60d60157ee93e8724efcac", "39c8ed5213882d4dbc74332245ffe201882c5de1", "5e7cb894307f36651bdd055a85fdf1e182b7db30", "71f9861df104b90399dc15e12bbb14cd03f16e0b", "3cd7b15f5647e650db66fbe2ce1852e00c05b2e4", "952138ae6534fad573dca0e6b221cdf042a36412", "030c82b87e3cdc5ba35c443a93ff4a9d21c2bc2f", "9b8830655d4a5a837e3ffe835d14d6d71932a4f2", "391b273af237b69ebbdfacb8e33b8e873421c780", "63cff99eff0c38b633c8a3a2fec8269869f81850", "c8829013bbfb19ccb731bd54c1a885c245b6c7d7", "ccb95192001b07bb25fc924587f9682b0df3de8e", "2a79bd36c56fd1634ca0f8089fe8aa9343eb92ce", "3d741315108b95cdb56d312648f5ad1c002c9718", "c32c8bfadda8f44d40c6cd9058a4016ab1c27499", "2f78e471d2ec66057b7b718fab8bfd8e5183d8f4", "a8583e80a455507a0f146143abeb35e769d25e4e", "1679943d22d60639b4670eba86665371295f52c3", "e6c834c816b5366875cf3060ccc20e16f19a9fc6", "51dcb36a6c247189be4420562f19feb00c9487f8", "06719154ab53d3a57041b2099167e3619f1677bc", "1eec03527703114d15e98ef9e55bee5d6eeba736", "126204b377029feb500e9b081136e7a9010e3b6b", "70bf1769d2d5737fc82de72c24adbb7882d2effd", "fafe69a00565895c7d57ad09ef44ce9ddd5a6caa", "11fdd940c9a23a34f7ab59809c26a02bce35c5f3", "5dafab3c936763294257af73baf9fb3bb1696654", "8c13f2900264b5cf65591e65f11e3f4a35408b48", "e9b0a27018c7151016a9fe01c98b4c21d6ebf4be", "6f48e5e258da11e6ba45eeabe65a5698f17e58ef", "e6f3707a75d760c8590292b54bc8a48582da2cd4", "91d2fe6fdf180e8427c65ffb3d895bf9f0ec4fa0", "0066caed1238de95a431d836d8e6e551b3cde391", "fe5d6c65e51386f4d36f7434fe6fcd9494fe9361", "b4c3743b10fffd2d44465f29a78c136e623295ff", "9e94d174d9076b5c3200ce895a4b4e50a3a02705", "62c72d82471dc22631433bbf41ec4b5491e71852", "61f1b14f04d2fa1d8a556adbdf93050b4637f44b", "26a89701f4d41806ce8dbc8ca00d901b68442d45", "3e59d97d42f36fc96d33a5658951856a555e997b", "5397c34a5e396658fa57e3ca0065a2878c3cced7", "1c6be6874e150898d9db984dd546e9e85c85724e", "171389529df11cc5a8b1fbbe659813f8c3be024d", "a54e0f2983e0b5af6eaafd4d3467b655a3de52f4", "46072f872eee3413f9d05482be6446f6b96b6c09", "016a8ed8f6ba49bc669dbd44de4ff31a79963078", "b7f05d0771da64192f73bdb2535925b0e238d233", "365a39662089e507b2d146a5232dbe2132813f85", "421e5b79bf83be03d6b1ffa61929206b7dc1e8d8", "0d5824e14593bcb349d636d255ba274f98bbb88f", "40c1de7b1b0a087c590537df55ecd089c86e8bfc", "0a297523188b03fdf9d2155bfdcca7e1bcab3762", "4f0d5cbcd30fef3978b9691c2e736daed2f841c1", "45215e330a4251801877070c85c81f42c2da60fb", "7753e3b9e158289cbaa22203166424ca9c229f68", "097f674aa9e91135151c480734dda54af5bc4240", "32b76220ed3a76310e3be72dab4e7d2db34aa490", "297d3df0cf84d24f7efea44f87c090c7d9be4bed", "7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d", "d43b6ca9257e9b24f89eb3867f2c04068a78c778", "89896474f007c99f5967bcc05a952654a3bbb736", "1a41831a3d7b0e0df688fb6d4f861176cef97136", "20b405d658b7bb88d176653758384e2e3e367039", "8562b4f63e49847692b8cb31ef0bdec416b9a87a", "b5fc4f9ad751c3784eaf740880a1db14843a85ba", "0d8415a56660d3969449e77095be46ef0254a448", "2cac70f9c8140a12b6a55cef834a3d7504200b62", "f3ba1a131d92975c2355f76dd3c97e1a9e043be8", "6691dfa1a83a04fdc0177d8d70e3df79f606b10f", "ce9a61bcba6decba72f91497085807bface02daf", "795b555abb26e62ad89a93645122da530327c447", "d0a40d6c1a0a0f20996a551fb784e00e741025b9", "18e54b74ed1f3c02b7569f53a7d930d72fc329f5", "f9d1f12070e5267afc60828002137af949ff1544", "3cb0ef5aabc7eb4dd8d32a129cb12b3081ef264f", "d6a5eb4377e2a67420778eab61b5a89046307bae", "199c2df5f2847f685796c2523221c6436f022464", "5748652924084b7b0220cddcd28f6b2222004359", "ee744ea13a0bbeba5de85ca3c75c9749054835e7", "c4b00e86841db3fced2a5d8ac65f80d0d3bbe352", "e99665790f3d2f19a25cdad4d07226f339f2522b", "69526cdf6abbfc4bcd39616acde544568326d856", "141eab5f7e164e4ef40dd7bc19df9c31bd200c5e", "6c27eccf8c4b22510395baf9f0d0acc3ee547862", "ad339a5fdaab95f3c8aad83b60ceba8d76107fa2", "d91a5589fd870bf62b7e4979d9d47e8acf6c655d", "93cd5c47e4a3425d23e3db32c6eaef53745bb32e", "bb69f750ccec9624f6dabd334251def2bbddf166", "0f4cfcaca8d61b1f895aa8c508d34ad89456948e", "49394a5e0ca1d4bb77d8c9bfa963b8b8cb761ecf", "d7dd35a86117e46d24914ef49ccd99ea0a7bf705", "c92da368a6a886211dc759fe7b1b777a64d8b682", "283d381c5c2ba243013b1c4f5e3b29eb906fa823", "9fd1b8abbad25cb38f0c009288fb5db0fc862db6", "8fb2ec3bbd862f680be05ef348b595e142463524", "06ab24721d7117974a6039eb2e57d1545eee5e46", "5a87bc1eae2ec715a67db4603be3d1bb8e53ace2", "fe97d46c34630d14235132a95fb2d2ed7b2c4663", "69063f7e0a60ad6ce16a877bc8f11b59e5f7348e", "d36155b6f5143c784e203df82cd0de77669ecba3", "dcce3d7e8d59041e84fcdf4418702fb0f8e35043", "40cd062438c280c76110e7a3a0b2cf5ef675052c", "c6a4b23ead2dab3d5dc02a5916d4c383f0c53007", "f4c01fc79c7ead67899f6fe7b79dd1ad249f71b0", "7d306512b545df98243f87cb8173df83b4672b18", "88c21e06ed44da518a7e346fce416efedc771704", "3f57c3fc2d9d4a230ccb57eed1d4f0b56062d4d5", "44f65e3304bdde4be04823fd7ca770c1c05c2cef", "92fada7564d572b72fd3be09ea3c39373df3e27c", "15e27f968458bf99dd34e402b900ac7b34b1d575", "b208f2fc776097e98b41a4ff71c18b393e0a0018", "e94168c35be1d4b4d2aaf42ef892e64a3874ed8c", "68d566ed4041a7519acb87753036610bd64dcc09", "e051022e1b260fe539e243f45899c37d2d7272d2", "e865908ed5e5d7469b412b081ca8abd738c72121", "cfd8c66e71e98410f564babeb1c5fd6f77182c55", "7f1f3d7b1a4e7fc895b77cb23b1119a6f13e4d3a", "1ecb56e7c06a380b3ce582af3a629f6ef0104457", "3d0f9a3031bee4b89fab703ff1f1d6170493dc01", "5d0f72174e9ca1d620227b53ab1bbd8263fb4a9e", "a63ec22e84106685c15c869aeb157aa48259e855", "c466ad258d6262c8ce7796681f564fec9c2b143d", "caaa6e8e83abb97c78ff9b813b849d5ab56b5050", "346d6b452205cbe23f552b82ab8cbd81080211f4", "60a20d5023f2bcc241eb9e187b4ddece695c2b9b", "dbcfefa92edab8d1ffe8bc1cc66ad80fb13d2b6a", "c40c23e4afc81c8b119ea361e5582aa3adecb157", "96dc579850855c2c53a5d09a8a7438f225d4e4dc", "aba770a7c45e82b2f9de6ea2a12738722566a149", "7c2ec6f4ab3eae86e0c1b4f586e9c158fb1d719d", "9ee6956305ab69b3a0469f0406c6b1473bc69abe", "2ca43325a5dbde91af90bf850b83b0984587b3cc", "3fc173805ed43602eebb7f64eea4d60c0386c612", "55079a93b7d1eb789193d7fcdcf614e6829fad0f", "f52efc206432a0cb860155c6d92c7bab962757de", "fd38163654a0551ed7f4e442851508106e6105d9", "d231a81b38fde73bdbf13cfec57d6652f8546c3c", "35ec9b8811f2d755c7ad377bdc29741b55b09356", "aebb9649bc38e878baef082b518fa68f5cda23a5", "ab989225a55a2ddcd3b60a99672e78e4373c0df1", "557115454c1b8e6eaf8dbb65122c5b00dc713d51", "6f8cffd9904415c8fa3a1e650ac143867a04f40a", "e013c650c7c6b480a1b692bedb663947cd9d260f", "7cf8a841aad5b7bdbea46a7bb820790e9ce12d0b", "6f68c49106b66a5bd71ba118273b4c5c64b6619f", "e3bb83684817c7815f5005561a85c23942b1f46b", "73d53a7c27716ae9a6d3484e78883545e53117ae", "d72973a72b5d891a4c2d873daeb1bc274b48cddf", "77e747b12d22827fa84f506eefdac4ec37948359", "55138c2b127ebdcc508503112bf1d1eeb5395604", "3aebaaf888cba25be25097173d0b3af73d9ce7f9", "7bfe085c10761f5b0cc7f907bdafe1ff577223e0", "2251a88fbccb0228d6d846b60ac3eeabe468e0f1", "cd824567936e0987e18e1157045a038262bab759", "adb040081974369c46b943e9f75be4e405623102", "a0beb0cc6f167373f8b4b7458ff0ec42fc290a75", "e03bda45248b4169e2a20cb9124ae60440cad2de", "8acdc4be8274e5d189fb67b841c25debf5223840", "e2f91b21f3755914c193a546ba8718acf81c845b", "3d0ef9bfd08a9252db6acfece3b83f3aa58b4cae", "3a0ea368d7606030a94eb5527a12e6789f727994", "2331df8ca9f29320dd3a33ce68a539953fa87ff5", "4b8c736524d548472d0725c971ee29240ae683f6", "507ca34d7e43551e1ead360fdfcc2e4515359324", "48eb6e33c48d5cee7bdce2a0f8591797905a49f0", "05270b68547a2cd5bda302779cfc5dda876ae538", "5a029a0b0ae8ae7fc9043f0711b7c0d442bfd372", "7701952e405c3d8a0947e2a309de281aa76bd3f4", "34863ecc50722f0972e23ec117f80afcfe1411a9", "1f89439524e87a6514f4fbe7ed34bda4fd1ce286", "57a1466c5985fe7594a91d46588d969007210581", "4aea1213bdb5aa6c74b99fca1afc72d8a99503c6", "e4391993f5270bdbc621b8d01702f626fba36fc2", "3db75962857a602cae65f60f202d311eb4627b41", "321bd4d5d80abb1bae675a48583f872af3919172", "b3e60bb5627312b72c99c5ef18aa41bcc1d21aea", "c833c2fb73decde1ad5b5432d16af9c7bee1c165", "30188b836f2fa82209d7afbf0e4d0ee29c6b9a87", "a6496553fb9ab9ca5d69eb45af1bdf0b60ed86dc", "cd66a1d08db3d56c91156797659b96dce8aa015f", "7fce5769a7d9c69248178989a99d1231daa4fce9", "64d5772f44efe32eb24c9968a3085bc0786bfca7", "404042a1dcfde338cf24bc2742c57c0fb1f48359", "a07f78124f83eef1ed3a6f54ba982664ae7ca82a", "9cd6a81a519545bf8aa9023f6e879521f85d4cd1", "0ebc50b6e4b01eb5eba5279ce547c838890b1418", "fac8cff9052fc5fab7d5ef114d1342daba5e4b82", "0a451fc7d2c6b3509d213c210ae880645edf90ed", "e27b2cabdfdd6bf3ffb3ebce1b4c55adb1e80c8f", "180f5289a3d365fbb084178afda0b7c90d4afd06", "5f6fafa788bd1b25c3c462c4013fd8fc0049be74", "476f177b026830f7b31e94bdb23b7a415578f9a4", "35f084ddee49072fdb6e0e2e6344ce50c02457ef", "814369f171337ee1d8809446b7dbfc5e1ef9f4b5", "9cfb3a68fb10a59ec2a6de1b24799bf9154a8fd1", "adad7446e371d27fdaee39475856e2058f3045e5", "b017963d83b3edf71e1673d7ffdec13a6d350a87", "4f773c8e7ca98ece9894ba3a22823127a70c6e6c", "a56b0f76919aabe8b768f5fbaeca412276365aa2", "89c51f73ec5ebd1c2a9000123deaf628acf3cdd8", "ae96fc36c89e5c6c3c433c1163c25db1359e13ea", "846c028643e60fefc86bae13bebd27341b87c4d1", "4c0846bcfa64d9e810802c5b7ef0f8b43523fe54", "9e1c3b8b1653337094c1b9dba389e8533bc885b0", "d715c221c84931c42b6f7f6bc1e555afdce3fc3d", "75e5a1a64d9d27dbb054fc8b8d47f0e23cbbbfa4", "0447bdb71490c24dd9c865e187824dee5813a676", "e41246837c25d629ca0fad74643fb9eb8bf38009", "6459f1e67e1ea701b8f96177214583b0349ed964", "d1ee9e63c8826a39d75fa32711fddbcc58d5161a", "ad6cc071b2585e4bdb6233b7ad8d63e12538537d", "521b670709a344b299dbb7824f419c63b1b9da46", "9255d3b2bfee4aaae349f68e67c76a077d2d07ad", "621f656fedda378ceaa9c0096ebb1556a42e5e0f", "9d06d43e883930ddb3aa6fe57c6a865425f28d44", "07c90e85ac0f74b977babe245dea0f0abcf177e3", "92c2dd6b3ac9227fce0a960093ca30678bceb364", "b1db9b9ace4f71a8a59188f0aa7e96687337e2eb", "e5ea7295b89ef679e74919bf957f58d55ad49489", "dab795b562c7cc270c9099b925d685bea0abe82a", "27883967d3dac734c207074eed966e83afccb8c3", "4e94e7412d180da5a646f6a360e75ba2128f93aa", "dd8d53e67668067fd290eb500d7dfab5b6f730dd", "6a5fe819d2b72b6ca6565a0de117c2b3be448b02", "7b3b7769c3ccbdf7c7e2c73db13a4d32bf93d21f", "9d61b0beb3c5903fc3032655dc0fd834ec0b2af3", "d40cd10f0f3e64fd9b0c2728089e10e72bea9616", "98519f3f615e7900578bc064a8fb4e5f429f3689", "621ed006945e9438910b5aa4f6214888dea3d791", "98856ab9dc0eab6dccde514ab50c823684f0855c", "cf7a4442a6aad0e08d4aade8ec379c44f84bca8a", "2b8c5017633a82b15dbe0047cfc76ffdce462176", "a52581a7b48138d7124afc7ccfcf8ec3b48359d0", "40a34d4eea5e32dfbcef420ffe2ce7c1ee0f23cd", "4ea4116f57c5d5033569690871ba294dc3649ea5", "10bf35bf98cfe555dfc03b5f03f2769d330e3af9", "ba931c3f90dd40a5db4301a8f0c71779a23043d6", "10ce3a4724557d47df8f768670bfdd5cd5738f95", "9cd4f72d33d1cedc89870b4f4421d496aa702897", "8605e8f5d84b8325b1a81d968c296a5a5d741f31", "642c66df8d0085d97dc5179f735eed82abf110d0", "e7de6f8d6558e91c3154920b3400cb237ca43f8a", "4c1528bab3142ec957700ab502531e1a67e7f2f6", "c648d2394be3ff0c0ee5360787ff3777a3881b02", "f437b3884a9e5fab66740ca2a6f1f3a5724385ea", "d2b3166b8a6a3e6e7bc116257e718e4fe94a0638", "2a02355c1155f2d2e0cf7a8e197e0d0075437b19", "0a79d0ba1a4876086e64fc0041ece5f0de90fbea", "a3a34c1b876002e0393038fcf2bcb00821737105", "e95c5aaa72e72761b05f00fad6aec11c3e2f8d0f", "4276eb27e2e4fc3e0ceb769eca75e3c73b7f2e99", "d44d911c045a6df610cb4103f1ab09827fab8296", "6d1cf703ae488b8e116b3b756b9e99b37ba68947", "0b183f5260667c16ef6f640e5da50272c36d599b", "b86c49c6e3117ea116ec2d8174fa957f83502e89", "c59b62864a6d86eead075c88137a87070a984550", "00cb35cadee5c1ea11bd4c37cdfd234859c69617", "61f48dce1766af1decc47186fe48f9c8160e5a20", "7adaad633d3002f88cdee105d9c148e013202a06", "d116bac3b6ad77084c12bea557d42ed4c9d78433", "e1f6e2651b7294951b5eab5d2322336af1f676dc", "9175b123837ecf55a9aae6c40ba245ddacbc37d5", "ef940b76e40e18f329c43a3f545dc41080f68748", "b1a8315b4843da3d0b61c933a11d9b152cfaae70", "7c4c442e9c04c6b98cd2aa221e9d7be15efd8663", "daca9d03c1c951ed518248de7f75ff51e5c272cb", "9227c1a5b26556b9c34015b3ea5f9ae5f50e9b23", "306127c3197eb5544ab1e1bf8279a01e0df26120", "a98ff1c2e3c22e3d0a41a2718e4587537b92da0a", "2533c88b278e84a248200d3c5a281177d392e78f", "5ac80e0b94200ee3ecd58a618fe6afd077be0a00", "7d8798e7430dcc68fcdbd93053c884fc44978906", "f49aebe58d30241f12c1d7d9f4e04b6e524d7a45", "46b0f9a549c546a06e6e383de4dea97dea382285", "97137d5154a9f22a5d9ecc32e8e2b95d07a5a571", "265a88a8805f6ba3efae3fcc93d810be1ea68866", "245f8ec4373e0a6c1cae36cd6fed5a2babed1386", "448ed201f6fceaa6533d88b0b29da3f36235e131", "82a4a35b2bae3e5c51f4d24ea5908c52973bd5be", "d6c7092111a8619ed7a6b01b00c5f75949f137bf", "fdbacf2ff0fc21e021c830cdcff7d347f2fddd8e", "863bf7728f8506b021c2582885905a83d507a0b8", "e1a0d0c2f67af61b454dd03aa96fa5aca485a351", "2d94dfa9c8f6708e071ef38d58f9f9bcb374cd84", "2f5ca5c5c983c23bcfe897aa467fde4097188f52", "40389b941a6901c190fb74e95dc170166fd7639d", "303225eaedd489f61ac36e1f39cd04db7fd8bd41", "e51e94cc3c74adf0cccfac3a8035a10016ce8a3b", "1b4bc7447f500af2601c5233879afc057a5876d8", "7a6e3ed956f71b20c41fbec008b1fa8dacad31a6", "2b84630680e2c906f8d7ac528e2eb32c99ef203a", "d7ecfb6108a379a0abf76bf3105b4c9baca8f84f", "65d25ef512688d6f491be3bced2fee8f8e181c80", "baad4e7ab0942a6b93ee2df39685f928efdae006", "f7a271acccf9ec66c9b114d36eec284fbb89c7ef", "65fc8393610fceec665726fe4e48f00dc90f55fb", "2bacfe91bac3ab256652bccb1712bf4a23e93f30", "835e510fcf22b4b9097ef51b8d0bb4e7b806bdfd", "1be785355ae29e32d85d86285bb8f90ea83171df", "d3b73e06d19da6b457924269bb208878160059da", "394ea2610db6bcaeb85c81c3d438a9813cae3fc6", "a006cd95c14de399706c5709b86ac17fce93fcba", "b5f9180666924a3215ab0b1faf712e70b353444d", "808656563eea17470159e6540b05fe6f7ae58c2b", "69ba86f7aac7b7be0ac41d990f5cd38400158f96", "0d8d4e25daae586c42c2c956404e54959067c2cb", "3dec830b2514e82c714162622b3077966660112f", "5a86842ab586de9d62d5badb2ad8f4f01eada885", "445461a34adc4bcdccac2e3c374f5921c93750f8", "367951ba687e4e52ca4ee1327627b332afc45fae", "f66add890c2458466e1cb942ad3981f8651ace2d", "fa5ab4b1b45bf22ce7b194c20c724946de2f2dd4", "85e78aa374d85f9a61da693e5010e40decd3f986", "22ec8af0f0e5469e40592d29e28cfbdf1154c666", "4aefd3ffa712a9b7d9db0615d4ee1932de6060d6", "74879f53e3e5fa580bdb3e2693861bdf40c0a8c1", "3e1190655cc7c1159944d88bdbe591b53f48d761", "84f3c4937cd006888b82f2eb78e884f2247f0c4e", "1c5d7d02a26aa052ecc47d301de4929083e5d320", "a939e287feb3166983e36b8573cd161d12097ad8", "b234cd7788a7f7fa410653ad2bafef5de7d5ad29", "914d7527678b514e3ee9551655f55ffbd3f0eb0a", "0b6a5200c33434cbfa9bf24ba482f6e06bf5fff7", "4e43408a59852c1bbaa11596a5da3e42034d9380", "0c54e9ac43d2d3bab1543c43ee137fc47b77276e", "a3ed0f15824802359e05d9777cacd5488dfa7dba", "d975a535cbf3e0a502a30ff7ad037241f9b798ae", "349434653429733f5f49fe0e160027d994cef115", "98c548a4be0d3b62971e75259d7514feab14f884", "ace1e0f50fe39eb9a42586f841d53980c6f04b11", "9636c7d3643fc598dacb83d71f199f1d2cc34415", "b126b6cf66f9ee5c6e33239eaaeae69bf4703287", "293193d24d5c4d2975e836034bbb2329b71c4fe7", "337b5f0e70e04349da17e8069936e2260390aca0", "e1ab3b9dee2da20078464f4ad8deb523b5b1792e", "cb992fe67f0d4025e876161bfd2dda467eaec741", "a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9", "d9d7a4b64b13ed1bce89d3cbbabe62e78d70b3fb", "35683a325c4fa02e9335dccbca9b67e2b55b87ec", "2fdce3228d384456ea9faff108b9c6d0cf39e7c7", "a55ec6bade29f23f8cb1337edf417b2da2f48695", "83371cf672af3f9aa75d921db536ee82e51a7823", "ec22eaa00f41a7f8e45ed833812d1ac44ee1174e", "48901e44cd3e17efcfc9866982f8bd7b2c26b99d", "493bc7071e35e7428336a515d1d26020a5fb9015", "c0f9fae059745e50658d9605bd8875fc3a2d0b4b", "9b7974d9ad19bb4ba1ea147c55e629ad7927c5d7", "14ae16e9911f6504d994503989db34d2d1cb2cd4", "d7cd916fd6ef2ea86bf6a1dc63df236f70c954b4", "c8bc8c99acd009e4d27ddd8d9a6e0b899d48543e", "d7b7253f7d8b397d9d74057e1e72ed9c58e2ba6d", "d264dedfdca8dc4c71c50311bcdd6ba3980eb331", "1c4404885443b65b7cbda3c131e54f769fbd827d", "df3a9e4a3570704af677cdec25d13271fb9920c2", "939d28859c8bd2cca2d692901e174cfd599dac74", "09e5b313587445280073555038c0ac5bf090628e", "d57c25c50e5e25fb07fc80b3c3d77b45e16e98cf", "b503f481120e69b62e076dcccf334ee50559451e", "252f202bfb14d363a969fce19df2972b83fa7ec0", "b8a16fcb65a8cee8dd32310a03fe36b5dff9266a", "a3a6a6a2eb1d32b4dead9e702824375ee76e3ce7", "be89d0288944090b86b761a1912fb5248f366c21", "ce70dd0d613b840754dce528c14c0ebadd20ffaa", "7ab8cafe454a9fd0fe5d51e718a010ef552b9271", "8b1fa60b9164b60d1ca2705611fab063505a3ef5", "4edf2e8ade64a2eb72ceafa1963e13006c0ad3b1", "af74c3fcb3f725c40868826ac7eacd81de29a210", "56edc2e6edf9f95a9b721fb860584655c2980144", "4dd2be07b4f0393995b57196f8fc79d666b3aec5", "b9f21812da61521303b7bbca8f79cb6e27a1e62e", "4dce568994fb43095067ac893bbc079058494587", "78e1798c3077f4f8a4df04ca35cd73f82e9a38f3", "0a3863a0915256082aee613ba6dab6ede962cdcd", "80b6e6f98d4374cf254814ad2c42f2fd8dd4e6f6", "721d9c387ed382988fce6fa864446fed5fb23173", "d30050cfd16b29e43ed2024ae74787ac0bbcf2f7", "aae742779e8b754da7973949992d258d6ca26216", "f3cdd2c3180aa2bf08320ddd3b9a56f9fe00e72b", "636c786d4e4ac530ac85e3883a2f2cf469e45fe2", "fe556c18b7ab65ceb57e1dd054a2ca21cefe153c", "0701b01bc99bf3b64050690ceadb58a8800e81ed", "cc52d5d5a5c80df5499cca0a2427cea42f66cdb2", "52736a11bf370c53324ba27c891ae0b15b2e531c", "3af8d38469fb21368ee947d53746ea68cd64eeae", "5721216f2163d026e90d7cd9942aeb4bebc92334", "064cd41d323441209ce1484a9bba02a22b625088", "c0cdaeccff78f49f4604a6d263dc6eb1bb8707d5", "0ca754ce762198ab653548fdb948b36325bd8f9c", "8bb21b1f8d6952d77cae95b4e0b8964c9e0201b0", "b7e7f9aaf58b2f91c902fdb6d158ba9c49f44c29", "d99743ab1760b09b1bb88bc6e1dc5b9d0e48baac", "887b7676a4efde616d13f38fcbfe322a791d1413", "6f288a12033fa895fb0e9ec3219f3115904f24de", "bad15b4dea2399d57ee17f33a5ba8f04b012ef63", "09750c9bbb074bbc4eb66586b20822d1812cdb20", "ebce3f5c1801511de9e2e14465482260ba5933cc", "01c0e41abceafb7d93b837238096512586ee5667", "359edbaa9cf56857dd5c7c94aaef77003ba8b860", "3b80bf5a69a1b0089192d73fa3ace2fbb52a4ad5", "e9cebf627c204c6949dcc077d04c57eb66b2c038", "23fd653b094c7e4591a95506416a72aeb50a32b5", "8a91ad8c46ca8f4310a442d99b98c80fb8f7625f", "6e7ffd67329ca6027357a133437505bc56044e65", "e9f1cdd9ea95810efed306a338de9e0de25990a0", "464ef1b3dcbe84099c904b6f9e9281c5f6fd75eb", "592370b4c7b58a2a141e507f3a2cc5bbd247a62e", "df6e68db278bedf5486a80697dec6623958edba8", "6ae96f68187f1cdb9472104b5431ec66f4b2470f", "d91f9e8cbf271004ef1a293401197a10a26ccd1b", "949fff3b0a73c81e7ff3d47caf7fbf9c664bcc70", "b351575e3eab724d62d0703e24ecae55025eef00", "ab2b09b65fdc91a711e424524e666fc75aae7a51", "f9e3a51a38a37b896c895254e619106e9e6a0c96", "11a2ef92b6238055cf3f6dcac0ff49b7b803aee3", "9f89514e3f6dc90df33567c6b16d77a9745d61c0", "c59104e304297bf732cdb062efcde52fb52a0d53", "318e7e6daa0a799c83a9fdf7dd6bc0b3e89ab24a", "31c34a5b42a640b824fa4e3d6187e3675226143e", "e43ea078749d1f9b8254e0c3df4c51ba2f4eebd5", "f8ea0f76f2044168040fcd0a9e81072c88cde4a4", "0773c320713dae62848fceac5a0ac346ba224eca", "2e091ec49b3d7a1f5647d9cdb844d72d33c05204", "b2ddea9c71cd73fa63e09e8121bc7a098fae70b4", "402f6db00251a15d1d92507887b17e1c50feebca", "610779e90b644cc18696d7ac7820d3e0598e24d0", "b2f9e0497901d22b05b9699b0ea8147861c2e2cc", "4cb538b0b30dc6b425d2b5a5305d8a629cb1a847", "afc7092987f0d05f5685e9332d83c4b27612f964", "5760d29574d78e79e8343b74e6e30b3555e48676", "c87c07d44633eca2cc1d11d2d967fc66eb8de871", "9117fd5695582961a456bd72b157d4386ca6a174", "03fe3d031afdcddf38e5cc0d908b734884542eeb", "fe63d1b1fd5a5f768be4338dea033348cb82130d", "29ee844b4c2184a30f6bed3eb9174add6a768ecb", "594ec0a7839885169c65133cfe50164d4cc74b5c", "570308801ff9614191cfbfd7da88d41fb441b423", "714d487571ca0d676bad75c8fa622d6f50df953b", "e16eeed2ada9166a035d238b1609462928db69db", "ec1bec7344d07417fb04e509a9d3198da850349f", "615016f45e89baea5c0aa3307efc41b458afb8af", "58e7dbbb58416b785b4a1733bf611f8106511aca", "dec76940896a41a8a7b6e9684df326b23737cd5d", "0bc0f9178999e5c2f23a45325fa50300961e0226", "4cfe921ac4650470b0473fd52a2b801f4494ee64", "64f9519f20acdf703984f02e05fd23f5e2451977", "8d91f06af4ef65193f3943005922f25dbb483ee4", "d6bfa9026a563ca109d088bdb0252ccf33b76bc6", "f3553148e322f4f64545d6667dfbc7607c82703a", "1b1173a3fb33f9dfaf8d8cc36eb0bf35e364913d", "98fb3890c565f1d32049a524ec425ceda1da5c24", "d0b67ec62086b55f00dc461ab58dc87b85388b2b", "6d4103762e159130b32335cbf8893ee4dca26859", "3f7723ab51417b85aa909e739fc4c43c64bf3e84", "c3e53788370341afe426f2216bed452cbbdaf117", "8b9e94fb3bb64389e9765ffde365862231b5972c", "2e98329fdec27d4b3b9b894687e7d1352d828b1d", "6fa0c206873dcc5812f7ea74a48bb4bf4b273494", "9b42fb48d5ac70b6ca5382f50e71ed8bf3a84710", "745d49a2ff70450113f07124c2c5263105125f58", "858b51a8a8aa082732e9c7fbbd1ea9df9c76b013", "1d7dde30b8d0f75576f4a23b75b8350071fd4839", "540b39ba1b8ef06293ed793f130e0483e777e278", "99d06fe2f4d6d76acf40b6da67c5052e82055f5a", "23086a13b83d1b408b98346cf44f3e11920b404d", "11408af8861fb0a977412e58c1a23d61b8df458c", "b12feeaa5d22c439b53f8c57bf65500af324dd44", "86b51bd0c80eecd6acce9fc538f284b2ded5bcdd", "fba386ac63fe87ee5a0cf64bf4fb90324b657d61", "4492914df003d690e5ff3cb3e0e0509a51f7753e", "9bd3cafa16a411815f8f87ed3eb3cafefc25e5a3", "2a826273e856939b58be8779d2136bffa0dddb08", "2911e7f0fb6803851b0eddf8067a6fc06e8eadd6", "71b376dbfa43a62d19ae614c87dd0b5f1312c966", "503c0b83c64878eddec6f71798b7877f2ae1967e", "9e4b052844d154c3431120ec27e78813b637b4fc", "ea8d217231d4380071132ce37bf997164b60ec44", "da15344a4c10b91d6ee2e9356a48cb3a0eac6a97", "c8e84cdff569dd09f8d31e9f9ba3218dee65e961", "32f7e1d7fa62b48bedc3fcfc9d18fccc4074d347", "84e4b7469f9c4b6c9e73733fa28788730fd30379", "2e8a0cc071017845ee6f67bd0633b8167a47abed", "3506518d616343d3083f4fe257a5ee36b376b9e1", "e9bb045e702ee38e566ce46cc1312ed25cb59ea7", "9b318098f3660b453fbdb7a579778ab5e9118c4c", "182470fd0c18d0c5979dff75d089f1da176ceeeb", "8a2210bedeb1468f223c08eea4ad15a48d3bc894", "7b63ed54345d8c06523f6b03c41a09b5c8f227e2", "d9e82c5c6bd4869278ff6f263e4b1b304d49c82e", "962812d28a169b3fc1d4323f8d0fca69a22dac4c", "9ce2fd6ae16b339886d0ce237faae811230c8ce6", "176e6ba56e04c98e1997ffdef964ece90fd827b4", "1159ff04fd17c59515199e0fc2d5e01e72818b59", "1473e6f2d250307f0421f1e2ea68b6485d3bd481", "b1df214e0f1c5065f53054195cd15012e660490a", "bdbba95e5abc543981fb557f21e3e6551a563b45", "ddea3c352f5041fb34433b635399711a90fde0e8", "60c24e44fce158c217d25c1bae9f880a8bd19fc3", "4e581831d24fd90b0b5228b9136e76fa3e8f8279", "bc78f0086ba2ceaadd0094003a5ab02df21a7bad", "3e452ca67e17e4173ec8dfbd4a2b803ad2ee5a48", "8dd05e2d604531a8df730843fecbd608fdcce821", "0aa405447a8797e509521f0570e4679a42fdac9b", "c47bd9f6eb255da525dbcdfc111609c90bc4d2ae", "0be80da851a17dd33f1e6ffdd7d90a1dc7475b96", "b95d13d321d016077bd2906f7fbd9be7c3643475", "9ca93ad6200bfa9dd814ac64bfb1044c3a0c01ce", "8144160b206e77d1c27927ec8f017b1c55965571", "0b0c2d9db83b4f002f23f4a20cfc5a3d10295372", "915ff2bedfa0b73eded2e2e08b17f861c0e82a58", "07440622b6b237b170136b5be4b6ea44f6578b5b", "5dc51e2bcda3a104edd3fd45b4d2b7e447a7b774", "48255c9e1d6e1d030728d33a71699757e337be08", "d5b445c5716952be02172ca4d40c44f4f04067fa", "c12034ca237ee330dd25843f2d05a6e1cfde1767", "88780bd55615c58d9bacc4d66fc2198e603a1714", "d122d66c51606a8157a461b9d7eb8b6af3d819b0", "7be60f8c34a16f30735518d240a01972f3530e00", "0d902541c26f03ff95221e0e71d67c39e094a61d", "3d9db1cacf9c3bb7af57b8112787b59f45927355", "543d2992bd50aee2019b5553ceb64f84afcd83db", "9d24812d942e69f86279a26932df53c0a68c4111", "a1cecbb759c266133084d98747d022c1e638340d", "5e87f5076952cd442718d6b4addce905bae1a1a4", "608b01c70f0d1166c10c3829c411424d9ef550e7", "c8910e52d9b50cefdb1e49b3cc8ee8fff7758456", "1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6", "94b729f9d9171e7c4489995e6e1cb134c8521f4e", "9fd8d24a9db7cbcdf607994051d89667e95d7186", "6b4b73367fe7002ff363749ccbc209817647f17a", "42dc1647c1bc074b72527e463367bc77b2b16d9e", "f0f80055ab85254ca58c1b08017969a0c355881f", "df87193e15a19d5620f5a6458b05fee0cf03729f", "3c5f390f99272c59fcf822ab78c90ee6bfa7926a", "9b66c4bf3e50bcd32918c2b0d5bfd30240ea9cf6", "a63638b26d36bab8db10bd95fb287c727bab33ec", "1f5f67d315c9dad341d39129d8f8fe7fa58e564c", "1831800ef8b1f262c92209f1ee16567105da35d6", "027f98757d19d870f26142c9eb0ab4d05ccf60e8", "8877e0b2dc3d2e8538c0cfee86b4e8657499a7c4", "98a120802aef324599e8b9014decfeb2236a78a3", "0e78af9bd0f9a0ce4ceb5f09f24bc4e4823bd698", "21a2f9bd43335f1042ebba5478b3f9005c20a247", "f0dac9a55443aa39fd9832bdff202a579b835e88", "4db19ca4c64d1d879f7c9091cdfc23e80ab7182b", "98760ffc159502eea67c7f747aac845dd5cde252", "4805f41c4f8cfb932b011dfdd7f8907152590d1a", "539cb169fb65a5542c84f42efcd5d2d925e87ebb", "d58fce50e9028dfc12cb2e7964f83d3b28bcc2fc", "5b809871a895ea8422afc31c918056614ea94688", "c37de914c6e9b743d90e2566723d0062bedc9e6a", "dcc44853911c3df7db9c3ea5068e6c16aeec71c1", "79fd4baca5f840d6534a053b22e0029948b9075e", "f762afd65f3b680330e390f88d4cc39485345a01", "6aefe7460e1540438ffa63f7757c4750c844764d", "85205914a99374fa87e004735fe67fc6aec29d36", "a7f188a7161b6605d58e48b2537c18a69bd2446f", "2c4b96f6c1a520e75eb37c6ee8b844332bc0435c", "00bfef58353564f4e4bd7e2cb68cb66953cf9103", "2f53b97f0de2194d588bc7fb920b89cd7bcf7663", "1a40c2a2d17c52c8b9d20648647d0886e30a60fa", "a71bd4b94f67a71bc5c3563884bb9d12134ee46a", "3980dadd27933d99b2f576c3b36fe0d22ffc4746", "b4da6104aed862db99e296368ae5c07ae6c99480", "1439bf9ba7ff97df9a2da6dae4784e68794da184", "85f6eaa1ed3ae15ec7e777b7f90a277eda38cf7f", "77b1b9bfd1d98d2bd7e374f869ce9f74057d4f2b", "7cf579088e0456d04b531da385002825ca6314e2", "2d93a9aa8bed51d0d1b940c73ac32c046ebf1eb8", "3bf7b57d9264f147b8f5507fe331059152a6c3b9", "7e3367b9b97f291835cfd0385f45c75ff84f4dc5", "42e0127a3fd6a96048e0bc7aab6d0ae88ba00fb0", "dea8bb5933e5463569fcfc505b97f6de5899d73e", "bd63d56bebbc5d7babc7c47cedcb11b8e3ad199c", "a09fbea3818b04361ad93a25f3d240dd40dd6b50", "00220a6783488054eb0fe7b915e882b1294f3318", "af3b803188344971aa89fee861a6a598f30c6f10", "3060ac37dec4633ef69e7bc63488548ab3511f61", "2c6e65d8ef8c17387b839ab6a82fb469117ae396", "1de8f38c35f14a27831130060810cf9471a62b45", "7ebfa8f1c92ac213ff35fa27287dee94ae5735a1", "fe6fefe5f2f8c97ed9a27f3171fc0afb62d5495e", "abf573864b8fbc0f1c491ca60b60527a3e75f0f5", "9407f8620a9b6db7643248d09835a24c1c110e05", "87806c51dc8c1077953178367dcf5c75c553ce34", "48910f9b6ccc40226cd4f105ed5291571271b39e", "d46fda4b49bbc219e37ef6191053d4327e66c74b", "06a799ad89a2a45aee685b9e892805e3e0251770", "630d1728435a529d0b0bfecb0e7e335f8ea2596d", "973e3d9bc0879210c9fad145a902afca07370b86", "b1c5581f631dba78927aae4f86a839f43646220c", "67ef372d35382570d7a16488d5e2c6b8ef88677f", "029d34f8a666a6edafb1065b01dfe789975d7d8e", "cc5edaa1b0e91bc3577547fc30ea094aa2722bf0", "48a402593ca4896ac34fbebf1e725ab1226ecdb7", "3bd1d41a656c8159305ba2aa395f68f41ab84f31", "374f13aedbbf2a4dd3b23a74a368127ad68a87b5", "aae31f092fadd09a843e1ca62af52dc15fc33c56", "9ed943f143d2deaac2efc9cf414b3092ed482610", "934647c80f484340adecc74ac7141ed0b1d21c2f", "cd9666858f6c211e13aa80589d75373fd06f6246", "20a432a065a06f088d96965f43d0055675f0a6c1", "2babf665198a91932a4ce557f627c28e7e8f31f2", "e3b0caa1ff9067665e349a2480b057e2afdbc41f", "59eb9770adf59604b93c25106c6ab5d7d94a0b95", "ab8a0edd0bddae0b2df6b8d3ac027a8e765a93cf", "63ebe80e020d902bc1fdc865c23a9ad7d1eac17a", "0e0bea5121d218d75799ce304b97c63894cd2fec", "41612c66beaad320af9b7d34407c7d0f4ca7bfea", "df50e6e2ad60825167c6b3e641eb5cda0f3dc505", "b28eb03b14d5e1bff7248c3522c088a731a2dc85", "941b3ede00e4913092dffb8f9d130767c72a8871", "067d4e56f416610d9b1d1fad3dff251cd9f19873", "28589357a7631581e55ec6db3cde2e24e4789482", "507af6591900a7165c529eca9fd370008c1ac87c", "0c553e57cb6fe7bdf3212fbf86bcc869958db27f", "234e3f821c31d0b5b7c59c3c013ad258fa6f5912", "02f8c803fbf02bae0cd4ba8943fe3acccdf37402", "c591cb28d12b7ee53af4e5c2050b74071527c248", "9ad1e152f85f61d9ac1254580c2596f351951b76", "df86f915f9d91a4838babb328b8c7834200a30e8", "eabdefeb685dd71a39417bf40247d206af4f9b9e", "f01da5c6f99b8be70609158f0334d4a1ba987a65", "b3977811e7353eb5451042c37700692196b11372", "d53994f28deb2800120fab8a42852813b3b8c081", "6d6bb981bc8470de23e30890bd96a76ffd2b7ced", "e2e920dfcaab27528c6fa65b6613d9af24793cb0", "f2bc0ccda62bda25adb3e8862a48ff373e8b4da9", "784731961819abc5a5a199be1573abd828bd9af1", "b77e0dad79d5cbf264cc8697c033a659f4670dbf", "938d9dd3e35cb8af5fb6b8b3f7c7ff9d6ba8b253", "244601b6f558843f946010f34229b0184b016c65", "8d9f516fa6e374f6b90ed51c0efb8b90e4f30357", "f4a13741fd2eaf4d5a283667095843ae78955a8b", "d64b24e9b01f4681d92fc29f36e46d94db7b8bb0", "9db1e4ab7cd46873382f450eeba4cadf17789a97", "8e9f973e9d01fdd275af6c1460e5307d2ff3d2bc", "a71106ef95103276fac010c10291f6dd6fd9d9f5", "246ec873db261257833231d657ec8995d686cc3e", "32d6ee09bd8f1a7c42708d6dd8a5fb85ac4e08bc", "44206d5f810385e66aef5f29083a610d91815343", "2056fb4cfe4aaa8a5d833f7494589499c2c5e8f5", "5aa63f9c0310c4dd64801b379266b778f4778445", "0fb680b5136d80c13e8d15078ef18ca4aac269f6", "4479efe6c81bcdb07b18d1cb66a06c66c6137fed", "b7a0e7dab11781c252e1145f3526aee388b4136d", "65683bd97720bc18a022b23755b32c8c988e8d5c", "1904adb4351b90271a9a91037e84f67db068f04f", "5f39d07dd39e5d7cfba535ada3a0ab9d5d0efb5b", "44703dea094eb9558965db9439a07b9a74fd36b5", "0e13f7fc698cbe78ddbf3412b13ca27a4d878fa8", "7dfd76228a3ef8e9098babfbe7e97e311d38a33d", "ec01ee706e284174ce77c3a48945ba6cf4d53d20", "3d204dbc13f59f1a1678c773b30a1d85e305f548", "2a6327a8bdbd31e2c08863b96c4f09245db8cab7", "f8ae3654c41b6ef5c5035a6db65b80137ad9a267", "784ee59ea98a0878f1ba709f4385bffcdb4911d7", "93818799037f55f38d1499f2a996fb490418b348", "4ad51a99e489939755f1d4f5d1f5bc509c49e96d", "a941434fce5d3fddcd78e2b82d46ccab0411fca9", "9fd61592cefddd89718a7b22836b518b3be349c4", "64b1de5ebd431354816ea2ebe04dd21b1953bd4f", "46282f10271875647219b641dac2cc01c7dc8ab2", "e6d4c0ac2352f108a078a4fd3f908a03b8571f2b", "7e7b4b4a84c2aa0ee69b5cea3a4da7f62a0a37d5", "379b9bf154c08a802a75249874dc6238f8386ead", "7da6695d4a205d1404d6e9bf503527da8b13813e", "4ab56e24f6c072fac375213fe68a59f4f4439251", "8ec82da82416bb8da8cdf2140c740e1574eaf84f", "44c0b2129b43141f36956be137f2321a7630e36f", "91a4ebf1ca0314a74c436729700ef09bddaa6222", "2e0d56794379c436b2d1be63e71a215dd67eb2ca", "9b2a272d4526b3eeeda0beb0d399074d5380a2b3", "0019925779bff96448f0c75492717e4473f88377", "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "014b4335d055679bc680a6ceb6f1a264d8ce8a4a", "02c7740af5540f23a2da23d1769e64a8042ec62e", "a3ab2a7d596626a25f680b7dc9710ea2d34a8cbb", "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "64b9ad39d115f3e375bde4f70fb8fdef5d681df8", "f3850d8ec9779e8e15da9831ba23d4cdca1dd4ee", "bbf20adb59b7461e0d040e665bf64ae5f478eda0", "8bf243817112ac0aa1348b40a065bb0b735cdb9c", "a75dfb5a839f0eb4b613d150f54a418b7812aa90", "8bfada57140aa1aa22a575e960c2a71140083293", "01e14d8ffd6767336d50c2b817a7b7744903e567", "26ebe98753acec806b7281d085110c06d9cd1e16", "e7144f5c19848e037bb96e225d1cfd961f82bd9f", "314b7d87f77f58e428ec56479fb9939e33a9beda", "b2470969e4fba92f7909eac26b77d08cc5575533", "2025392b7ebe267fbe13cb9fcd022ded8f7d1972", "ba6769c165967c8dcb11fe5e0be2153ddbe99c7e", "6c40fc9df6588f7cb721537883167eede1b8d369", "1e62ca5845a6f0492574a5da049e9b43dbeadb1b", "ea03a569272d329090fe60d6bff8d119e18057d7", "f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3", "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "78a11b7d2d7e1b19d92d2afd51bd3624eca86c3c", "177d03c5851f7082cb023a20fa8a2cd1dfb59467", "7e2cfbfd43045fbd6aabd9a45090a5716fc4e179", "35f03f5cbcc21a9c36c84e858eeb15c5d6722309", "cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae", "b8bcf9c773da1c5ee76db4bf750c9ff5d159f1a0", "a1feab9029e49d1a5d4ad511be30bd40a423a1eb", "c53352a4239568cc915ad968aff51c49924a3072", "77c7d8012fe4179a814c1241a37a2256361bc1a4", "de0ee491d2747a6f3d171f813fe6f5cdb3a27fd6", "4c8ef4f98c6c8d340b011cfa0bb65a9377107970", "1f94734847c15fa1da68d4222973950d6b683c9e", "23b0f4edcb52d5d38cb7d38b4c4eda6c30cfc10a", "ba42600cb069a1341cd9d2e0cdb23f465cd99f11", "d40c4e370d35264e324e4e3d5df59e51518c9979", "cbb27980eb04f68d9f10067d3d3c114efa9d0054", "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "4946ba10a4d5a7d0a38372f23e6622bd347ae273", "b6ecc8d34ebc8895378abe2b8f35e3a0691f5d26", "20adfee9f931b48ad6ae236dc50b8106573d03f7", "0ae74fabc585cfd1cf60ea3f9e218c59a4539091", "519aa7395720299682bce756c86b587c33b7e0f2", "18010284894ed0edcca74e5bf768ee2e15ef7841", "39a863aee15e35aaf1b4b5f86a27a5eb0c3a0f84", "342bf840586c167354052336859dcc6655bb01bc", "90d07df2d165b034e38ec04b3f6343d483f6cb38", "11d4b800cb4dd6f2b7a0c614d1b73191489d7918", "fc73090889036a0e42ea40827ac835cd5e135b16", "7b8c709abb34fba9f5404293ac5209a78258acbc", "d78be582827941679ec2dfc1f56c254f61302476", "f6ad7fc8ab40c2c892dbaf3922b30fe0c0311c65", "5c2ee7136e7672543f529548b57884f644cc3570", "bdbf414a2059d542f501ad9b1d21eacc9831082b", "336067ade694c79b5838b2e8158acf18546bc5a5", "b4a60cfe62d78e315ed4206d455022ead27ecbf0", "423e0f595365640b653c1195749e01394cbcd937", "6e7d30e83dd48f4d31e4765edc38cb39af441b13", "81eae59b7462824040198b7be94df4f916024a4b", "a2ca036b5c010dbe168d7e5fa0ab1f0e11c5b37f", "8bd8b5ee7a38ae0a148d8afa1827f41aba5323cf", "71adad22ecab68022627d9d5334cfb52f96c043e", "ea880d42febfa290e54deacd0e65e97a2d780dc8", "73bef3c162999185aa5eb8a4ba29ada189529047", "d589e218cc3f1b10e77d272cca5df3525e06fc95", "7abfa8648e1579c97aa6f70d875accec1e070030", "a947448d1db19d99abe6de2f6b6d67804786a8b1", "0123d5b91e56d4c6e92eeb25b461afe8941f48b7", "244c7d89bcd67b26756123edf44c71fd5f39dea6", "2d105eea4f594519bd337298c55b9af3da178293", "8e7548911c41b6f3a6ccbda6d3ab913eaa41e721", "03593afd7976bae2c105277f61f335b64fc3cd19", "23e85d879c37fad1e6c07fa13b896cb99535c297", "c31e08c5b1b418d1ba5b25524e78684c76d63f4b", "f3ca251ac3b05397ea6d72f2a9a6f0cf619a2a32", "0673bfff75f178e40522cfc179ed15e06d67973a", "45804e509e6d6e772d1c40e804e90c6659988abe", "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "94c7c7fbf7434342cd492305a26ec313e09c30ef", "a31b862f1addbed64a2dac64d7d416e129cad6ad", "eb43002e771de05db5e3e7e8eb6fcc75de0e30c4", "ea8707f8d527018c063a688bbd5a88f74506b288", "64d1fcc26c2af47c8ed7436fe91546ba5bfc7a1f", "202cbc83c22a9c7b3d878cc1bed1c5cf152eb6fb", "bbb71cbca731295758563acdc67273b99618e1c0", "1c00fb17bc29d11630cb48e23e846b9dc35ea93a", "f499e84b489b0b4afe86e303803871700e561063", "f06f4bc74dc0be0a628e99a5c86ab3e00ed00276", "c419b3c1ff156a0e8262f8f43a4118fde57ae37f", "759f4f7601292c37e2f1c4a5a9f53075e9e355ec", "9a0f1166313da24e76eaf01e662f63a737d50e48", "2662500c88cce40e4c8b0e780a0528ef9fa51d87", "d45fbd818f032566e9e8f8bdc0f658cdd6873e8f", "f153f5099c69b644f2222a80de798ae82dc36d67", "37b8a996bf6281e1eb6464d1493663ec1ac0d2db", "fb9b2211f23ff608e786ab3ce17c7474d7a773dc", "214f31bb7b170a0d4ba43954dda0c210416122d9", "daef6fa60c7d79930ad0a341aab69f1f4fa80442", "140c49529fc66feafd9949d444db3c1987ffb0ed", "2687a892b1b737df1feb09ed8575d925f59371f3", "cea354a20227e80e1b37a9677fc8f2ba00f908b3", "b5e6fb219ca76f0175bd9f28e1460280fa11d5e1", "485eb9e9392ebe6297e049f646b94a4ea8814cac", "34ae449ae64cd2c6bfc2f102eac82bd606cd12f7", "9e1b3cf334aead8d2c29747f6ee7d1291dd83708", "75370d108f053f04dfbe8d42835f63fa165adcb6", "e912481d2d885244b1c72e5d74932429394a5789", "b245580bd7bbdd8f96fd079fcfa23e05e731a0df", "61bee369916333bac86103cfb07d6d2ae5e091b6", "c5b6b81a75f7ec3211473eb1ca58897a6537a085", "9f0f4ea0ec0701d0ff2738f0719ee52589cc3717", "6f8fc12004fa068c424369793fd39426e772b07d", "428cfbd3c237d04edb06690a7e9e9a40c62fc8da", "fd9d7efd0ecff49249844a0096e77b2f864fae0d", "75b227737a5124c66c39d66d50c32293df6a398d", "ab1f057bfe02b80a14f4c011abb9ceb2a9c98b6c", "9cd19fc6a60543ac99f96aa0197d2d986a2c3a14", "494daf40d90a07b58690985088e5bd109ddb315c", "39b765988e8bb6f650218c839640cac56e62adc8", "2f671e3dd06d3398d6181c3927985e712c9f8a27", "d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9", "fdb956c7705b7f57f56f944a0f3f4ede1d6f77fa", "005227ea30edc2907ca2c01d0729e247e2d9a350", "384aee9325e70e5215e07e55d0ee3ea461a46f96", "07a63213c090aa9b96fd2c578fd236b6ea13ec59", "919cf6064f6a9cd02f377752ce259cdf46562ac0", "074a12f9187beafe40386f19aa2544df30fa5703", "4071778aef122d2ba9f2525a56e375e072a4b186", "4f9fe0f537419520b1d598567ddda3650debf3f5", "39e4dfa4ec7e2bee44a9c5b940e640eb39c3442f", "61f810b3cbec7bf050f964ff069a05ac2f883303", "c280c95c17194de83e5234cca3586cd567ecd47c", "3cbdb3c9eb3e97a9d12d84d2b62b76884cc0003d", "f8e0910d50d7dffe7097b6263c6bb3952b1de336", "6055ece6d5efaa219db45d8e9f8fbc9e1c9feb1f", "9b0f2fb0faa27c4fd9d50e84c65ecd81ab26bd75", "8285e1b5536ce11d55462ae757f61c75ec6773c6", "916c816f16e4934e41f09a3ff81a10e5fc4bb459", "0dc3c1677e7d76133e5ebc7b62ae23524e289627", "b1e92402ff89540fb9294620f429eacb0aba7d1c", "0d691fd4d3fd7852280b939d24f37c89aebe2862", "bdac40e2cd172c4706d98b78cccc068090b3b2c9", "e2bc01813d6ef50194588086e2adea42bdf2323b", "69985d404c2befe175c0ee953d0fee4f843164bf", "06178edf24183e6fb9e3e265ff4f290a4f0934d2", "82ffd9024dd6890e5469b587e3516cd07786d6d4", "61b717c2c5b9766ddaac6a0fe0b1bfb01e6ce19f", "27dafaa0478bc70e3af9c5a45f278bcee44a920c", "aec3e1a8a21cf13021c388590bd25cf79325839a", "2e3551aa03ceabf0b71593d47ea6a48c32045ba5", "68a513b1ac290a69f95869600c751dca25e9495b", "1a618ff6fd0f0f94ab070555a4746e120eb9fbab", "d4fc055aa72b71397bdd223af212a632c026246e", "0ee7883f778076c6d8a14a115114a3d9ef830fc1", "d2384ce437e4e6ec82aaade981cda79db13b4dc3", "096a97299c9114316770205f9697653d000a58a6", "9d083a1aaad04641d0757ba21eaad1a60d5cafe0", "7337e138e5ad5cbc40e4c7f99801ed7c096776a2", "ef1b6fccfd5c0ff019699c21959a93368aef4197", "5d4af8c9321168f9ba7a501f33fb019fa2deaa22", "0df347f5e3118fac7c351917e3a497899b071d1e", "4c987baaf0587798a40b56d4fdc9e2518bdc139b", "15eff32ccbf0f89e888df5a5128d89cea3e0060e", "e2f24d01d7236d60f3829570ae111bedddcf4586", "5927984db5949852d2df809ce61dbb604c270f48", "61c425bdda0e053074e96c3e6761ff1d7e0dd469", "6dead19a89cbcbb71350a19925cb2c6f71261dfc", "8fc60a7489b76641ceee5da9180a3ca76b18560d", "490c30b1d6b680be3c5a13552073e4fc10a850dc", "7373afec3b5f87f9f0dfe9aed0e0be9a38a9e1c7", "6812ee7c4173abb9e0a22904adff04c54d847587", "68a05a845b6ace756d51c5bbce927479c9b9ab95", "18ae7c9a4bbc832b8b14bc4122070d7939f5e00e", "1fe8b8dc1271b0cb5ce37f21be5809546597cfdf", "f921e6f5085f1ebbd8289081e499240a89bf6c43", "b32aba82f2ec8ac17abc2fcfd32f5ea9f85cd759", "62a60c3d2dea6f33350d5f73224bd330ab157f1f", "58b49db3664cd623699eb4a69d1a9e3993bca731", "74d745ece0f5d751bc96be2e0f3fd4b22cac25ec", "a57995ecac8275b4c7d614f17538cf771b0b1657", "760c5d7392f4f193312af0f5c4f178b73f3f77d2", "61dba27bf77fc5279a61a29c61679a2c40ac6256", "04b74c6659f999831ac10517eda75958c1fc6cc0", "5cf549ca5680491f12a5ac5d42b171a64088da22", "6e82ce9897093ce4f5fa795887273992489c380d", "f16695987ee6f18aa7ce1bffe2080367407fd043", "4cb9827e0de6cf0ccb61cb806e52508c392a2d21", "e2b2812f1f43206ec4059b459745e724f22bb878", "751e9126b99c8c2552447c0bb1897ce5add6cf4a", "72962038460e32b0dd01d083f7f4049be36a34b9", "1f10e419aebfe6768f14a13bd3af65e84a58da00", "169731093e6b1a5ca51805a876011a9c250f11cb", "5f34c96ddcf992e1b8660b5cb01e3c311b05023c", "4c56f119ebf7c71f2a83e4d79e8d88314b8e6044", "55e0eb73c5243fb69695e16f3d7e47bde8e7c22d", "0c124734ce6015bd4c506b101038aebc1412da49", "f1ac9370bdf4c408fdc242719cceb3eae19b9a16", "efd16f6cc4b155b51c4d07750f16c5576d278f04", "50fc40ec6166dc33c6e59ef5dd75230651076f44", "08a78e0c57d0b6474c09ef8c6d118b3e95da1e18", "fea8ccdb0ea1a8d20acba1f359e2345164602576", "6b0bc26c2e9c114306d5dceca1494ac52d56101f", "f50bb87a850ad0f44eef9c2acae5b1dcccb945da", "61692cffff60568da43780df38876c11390ccdc8", "e9dd49970d259ec267d7c23a62215db37b986e49", "19645269d4a3099adf549ac1dfeb117d16c20292", "d03da4a537315144ca0f9782bb61ad68082a48b0", "a4ed81c97fbb394a6d8b9bc6215ca5eb97e0a38b", "a99b8c2165fea3e90bc8815a965b7df961367419", "c0aeae062aa27b71be728f2b9bb22b5ba0de27c1", "7667484b76a893287f3728e5b7604034ff868edf", "b138bd605e7b22b25c9d46277b38567c6566c634", "f844101618bcaadfad189645d0d9514f6a04f9ec", "3356074f4896bf2af7f46749fdc212a99d4932a6", "bbd347e6648d0f9c060da9ba9fa1782fa47156f2", "55c3b8f21b063b605a01a720af92c0a5de59333a", "06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f", "b9a65dd30e417b45eb50add150e0b155e69ad14d", "07e2461bccbd4a17609d022518a82bdba691c21d", "e2fb8ff1cc25a285288e7b6eda4c32fccdcaa10b", "447bcffc87b278900578b7539869dd0ad65feaa9", "05d3657ef0a94f1d0ad8291d8f2fb3b22aac782a", "8634ff503027ea11871f2be784bb3f063ecda853", "db6cc1ccbc517f86d39e446792ce7d84b935d899", "2def1c373a2f7842d0367cb48da87d777ab478b7", "fe7ab34e71d110d836a30ffb287306a02af5f189", "bd245c4ee85a3685b0a8bd678d27bdf901cf5706", "cd9f1f429b41c4c125df231bab8872e012ff5316", "2337b5b0212ad9b7fafd89d91016446450db64eb", "683c77c94b53db26ab3175bea0cad5b5f38bc672", "e21691680d3c5bbccd89b0850504b604a53a940a", "5b6593a6497868a0d19312952d2b753232414c23", "044984bfbda796d0a2a2b97f716e8924dfb28078", "b1b9aa047dbfb219588b26705dc23ddc44808d78", "8e01ce9c92a657077b2bbbe119523bd7429306f9", "25aa2410b759d98c7102f071a17c3b8934395048", "3affe6f9c2244f4b32c1c0f7d7f1d24770d40efe", "46e82bdcd623e693ec086f81fa78f55c92a9ce44", "3264df8917ad5e39e9a7f33bbfbce25ac7473a9b", "8a05ac5e375ebf80b5fb88f207a9d33d5765c27b", "eb6b8359909749e52efff9b78b037a88468101fd", "652d3f33fd0a99808dd646aed228b45eacdaf34f", "7fd73c91462153e16d207faa8ec0e3f507c72ae5", "a509f0528c5fbb36993324922b13a9a303ce82ee", "1ab19e516b318ed6ab64822efe9b2328836107a4", "1173cafc1d3880f73b98410f6131d0a93f423a0c", "2f8df9aeb5732a8831c4761e09c1997fcd5e1bbc", "f367c4472f11abc3fbd00c8ae94833ba901d8e64", "7b522c5d6d2d0699c4183a543b8e65b1a66d9e74", "e352288274f62be6abc37c944120bdd4979dc250", "ef247c194162f76eb8d44b1f83c25a4002ab69a6", "f6328f02ab64c992d76967dbfd1a66d325173723", "5fc541e1431aea41261569af2f9473c8fbd0e5ec", "fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c", "47ffffb26cbc0cf0800cbf7efd370e0afd4aaa92", "33e5d1c93e4195a1bfd303a94f0fc3f1c5e233bd", "19bd2572ef52b8758312cd40e237e21f6f2a0feb", "08a03f966216e4c5bf13405556f16220a14ddb3d", "9f33fe98e70c049ddf932247a44b9c9af85cf9cb", "3ea27ba44a3e8a13148236807e569b909517ed89", "4d16cf1b11ad66bf3e038936b8e2a04eaf39712a", "8c7cec067fe9e88f23d7fc3fde11e83d123c7875", "dce5896abd1a9ff4399ddedd87ed96d988645639", "9d896263d1200e49e463e00a19502e694ea4ad7d", "a679a47de6b3114cb614a4c5577eea3b898bdb51", "15860bc14c38c89256a4263b0d31eb67fd8ed923", "0ed78b9562661c550e382ed30de252d877a04cdc", "6933b9dd92156ba716006cbe5047edea15661765", "4a9145d52184b20f7241f52509034819c79ee162", "fb2e805e61a5939f46352b69a355b8f6b54052cf", "72b3202cf98c28249bdcab6099c9d3f61cdc4552", "2dd91115091f1691ea37c4b14788ca4199354012", "8eda0af45fe1fe32a22661aa1d03e7267a8181c8", "3dde006a6bf19a2008116542ba3d39f9a280648c", "3ee7623820035a982d899e3805331d255c9c7e95", "abb396490ba8b112f10fbb20a0a8ce69737cd492", "9e1a96e0fc5d8867e82e6262a8d9499b3ae806e5", "4ed727bfef7d61023d391fdcb95cfa1df901be5e", "617253f275f14490c61dc9d8cb23ceb9c9d4ba35", "7c4efb5b0e29233d13491bf9994708333086ae39", "6c825dab1405d193628298adc552a4e4d17c7e69", "3528980fbad49fae95ec278d089bdf01b33445ad", "13af83892724343cfdf88debbf00ea1343a10db1", "18f70d8e1697bc0b85753db2d4d64aeb696b052a", "8e579a8a43f6af1d66e927a48b89e8296eba63f7", "5583a131ab89aef81cee3e60d32160685c24d694", "bea1ffedb87d7b0eb9cd4397b334b204fa450a84", "2bca780e277f48198882e816a803d3db7c4771d3", "ac952dcf1448b7afa8c17cbd8062e3fb1382da0f", "10fe1c3d32398ee5492b72e230e74615ed31bca3", "5cd2a7ec2b47086b1e9ff6ebc096eae5e03d2f67", "dffb64ac066bbcfe6aea6b11408b5ea62a40e9fb", "f0619ba7eacdfcc25d0487fb9c3c00d143633500", "638bae0ed5de16dd8f03f0bbff6e090f09b69a6c", "7b3b6b874b89f22c46cc481448171a28ec919a55", "36ea75e14b69bed454fde6076ea6b85ed87fbb14", "7faf8cea7efd7839bc7e6bb761cc06304aa53db4", "49823d4264a8ebc8d27e5382d6b97d19facb65b7", "1f0088d0f731ca563f01fa72678ebbd541aa86da", "2e38ff75a80ec92111261bf368781c7eef89eb14", "29322b9a3744afaa5fc986b805d9edb6ff5ea9fe", "0126f1566a5a9ba051137afb6c1fe28f93584def", "6cb225f0b264c5f004dc11980c241e93fd7b0e24", "c5697c28272dc7e81c451a63495f229c740d597b", "a6664cb6cf2589c28e4e7e8da89b0b116a121279", "362c8e7d0cd8a3fa100a35b4b89dfd4523ea0525", "4af133c49d39c8b7aa9d82c17f1fd2c70e36233f", "f3906c390e378ece7f785fb553e0b89c2cbfeeb2", "9cb152758ee57f2abcc0b59348752e528a2ed2f7", "bb72fa16dc5e13ae37ba2c942043643d269b5cac", "3209c4c71b22c7cd91e5be583664ce953e560a83", "02cf88e5ef78eb89c4b22ff301bc1211f5beaae3", "d929534024614e3153c986e55d758ea7471d3fff", "d7d6200e41d574e2f3ddd9ded299613683519c7c", "2b712551fbb5c574ebec7283b0280add25103c31", "808d7e7c411ba8e4b31c63f34cce5a195db3dd38", "9f483933bcc872771707dcf0acb1382411ffee94", "118546dead3bbde31ff4052b7dbf5a147d1e69f2", "aab9a617be6e5507beb457b1e6c2e5b046f9cff0", "e3055d57305f272043757e5d861fed64c592344a", "1f8435f58054a101632d023994a93c986efe5ffa", "4fcf1bfc2a8989412adb67c97ce1bee72a996fff", "83b1df92cceff322230743a34a3402de2ae4ad1a", "87169aaa3e44fd1568a2fdf1e4ba2af385c34f4e", "453a5416c78ec530c0e6f2a49ca5057c3282e7b2", "11c25e20b74416a97bb93f68990ed12c25c8baae", "1ed93b32367351089815aeeedf06cde9e999a346", "26ef54b182fe25e87622a2e846024c8d637c8b33", "c5c1575565e04cd0afc57d7ac7f7a154c573b38f", "e3f0c5a51d6c5085fbcb64d872d7db438da27474", "1e73c84785f20a1dcab8b4cd19cdbe946193d442", "5ac8edd62fe23911e19d639287135f91e22421cc", "126b98473cc25e604abd58eb6bcf720354ac7e7a", "c97c4d390b8e53c594483cf9533d80aaeb8c9df1", "2b3556d1344cb5128b89785ed1b3793b54527fa5", "babc76d0550a647dc605dca9a69bda1af8e0c872", "6ed7823b66a413459021984e417bf71497354559", "302bf028487b50bed33bc6d36971b8ecf06393ab", "039b29a58861f78fd4cac0f51c70eb90398091d6", "01ccd6a341c8a29b9b39fd28e723ca3a0bdac22f", "aa255b96f6fbba52c2b42cc3cd291494b1d93268", "82f293d1a33cb92c1cf3e9f9386509e8b3cbcc81", "b13e819c48bcb2362614c18cdcd7a53d90944fea", "b1e14a9292c071d63f45cd3c1f645e83027be4c2", "349668b75c4398c075fc681f563a80ad7cf6b4f2", "99c2adc3868050afdaeacbab976e8c48a3ce214b", "0776a6a2a44e9d799e5df888cb3052984e975e9b", "69026120a20aafa64bed9fd3beccf546758642f8", "4887b8b83a05946af2dc2699aac6af95a7fa7150", "ad575fc6c2a0a33aab8cf8ea33f7782ed3bab2a1", "559f611d95138c6d4255e493f59de33f9f786538", "3dfecf073b2ea403def1fdba11835b8a95cf01a0", "fb9a1f5692ecc5fee9f7673c9934c61538ff0774", "0aa116ed30655f2904c3dd4f6e7c7db658e44a75", "91811203c2511e919b047ebc86edad87d985a4fa", "49febc6d94e5f7a7aad043b53cdf52dee8ab18eb", "8a4df86ad831b107c49e431fc2e58c0a0ea3685a", "cf9e81c129a09457b198f176baef3d3b5f09682f", "2599445b0990979483db54c707c9a33b18231910", "110d474178b0bb5e2050537d89d08a76106ab736", "22ef59d9118f99a896cfd553d7d099f3960d1f17", "2375edf7a4014eb9ed1d0634726063f41528d6cd", "463b3269d27b334e15e4fad18f886837cbc06fcb", "ba25c219b52d675b579941364ce6ee6700cea8e8", "6ab5acb5f32ef2d28f91109d40e5e859a9c101bf", "c4e6ee6124fc12aeeb30fbe5a787d2090f62caf8", "9019d11217cedd413d65052c72f07e320bc3f120", "937e89cdf056358d1d5befe334a0e1f497f7d643", "50d337e06079496c3efde863c2ba18f6118b6c69", "c18d80d00f2a7107bfe780eeec21b51a634ea925", "4959489ce1f092d0d66afdf0c835f1b4e9162d3c", "8602b2ef26a0f851f1f6f2f2ae0ce142eb64300a", "32d1220b2a6a3f744d85162aa1a12013070c282a", "0fb75f5cb12d1e1a909b9f698b7617bb9603002f", "22dbdace88c8f4bda2843ed421e3708ec0744237", "ddbed5c2a4c6de4304e2b7aa1d074f5374970b1b", "063792ff9a139a5b8375afcd35e4ae6c8d83c352", "9c1cddcabc6610913ea87e3ad0ea2fe85997d9ca", "a64eb5aa719bdb2f58023c1a97094daeeb8e1ff9", "ddbc590554fe1c1052fa965a2b707b3b46dbe7e9", "4ffb48c98502dcee71200f8b7e62f986dab9da23", "460e18fecf16338d06df56276d29115981ba3ad1", "068f8b19a3847a2eaf0c65f6d85ec60060750d3c", "23120f9b39e59bbac4438bf4a8a7889431ae8adb", "5a6012176189639de6517d6515fc1aca58e05c11", "2f77c0908716b0febfda19ff6a0e2970c23af440", "591bd78a06814e75cae7cdef50ad91cf22e66c23", "7e63dc2831c93437cc3a6f1b80722669fdfef051", "de3ef07b202839a458c3ae9f16bc59e60dc857b1", "eac6827734e9007feb84fa21d10d72bcd235e5ba", "983c6d9d8aaeca30e6b84e2b2c6e2a514d6df254", "ec001d5550cf950626f6416cfcccde82806df2ee", "cd0856cd440cfc19b6989361baa084f61be1e5bc", "48059da276a8a93e0bb3faaa8421589f09377559", "22766a841b3c17068e5f1ca34ee5b751b6c4bc24", "41eedd1e627a060f6955d8e04a3e9307a7b8ae6c", "fcb9597f75e9e1770df629d784cf03ed87d61d0e", "3ac3386a9d1a5651ca2062d5c1b23766bea2568e", "345df8418208ecdbea4afcab21557fc10a27aa78", "2546f055c217055cdd140a55d812036b46b63e38", "9802885e39e0847374a2efae801b8b719c09c64c", "9bbadfc8c30f17790454e5842a1151ad6cc914cc", "a9dd61f4dc1b033683d0152f5753e1cfaadc6500", "060ea3f72ee63d909600caad168cb26b4777b19e", "19fbf78b32d40805063ad52117be9df69cf10678", "ce7b4fcdd81d4a6461f94abefb48c4b524865cd7", "bce6725d15a130db618bf1db097240860351cbda", "19911c7e66b05d5aa28673608fdfc50ef00591dd", "bd3d69121f38db767bf820e5f786c7e55b7628a7", "2d638ee3e358732f3c052b854dc16949fdd4a2c3", "4300c7773a130b4995f60ba5ed920dd1782a3527", "17f472a7cb25bf1e76ff29181b1d40585e2ae5c1", "0c468d5abe428def1ef996ecf78a7f99ae24544f", "5ad07ae06ba8ae012367fd06205e948ff13cc7ab", "695423ede04c7ccf05997c123fd8ab9b94c4a088", "3b995415a12903a45587827651c38e722f98a8c0", "0ce4110d4c3d8b19ca0f7f75bc680aa9ba8d239a", "c90b109301244e59771fec431a8d50a78e395956", "d13e81c7a3d6f62948a68663acfecc3a480d9b1c", "028dc6a134f1204bd9ae28213e2e6665e82ddcb0", "0eec56cb77e52c8070dfd9088a55270f22536224", "921aaac9b33ec6a417bfc8bb0e21e11e743342c2", "a3fcf3d32a5a4fcc83027e3d367ecc0df3ec4f64", "72da7e3cf1136dd0c916f9e966937da0e26c64b6", "a73014cafb3e0b89ef6dae3372606c3d028ba2e3", "a80f062fce64f9935c89fe0d8caeb798e72e451b", "72b4b8f4a9f25cac5686231b44a2220945fd2ff6", "012eb31e668ea9f87e39a0bc3ad467d31843568b", "a9fd443590628890844412d274e396bb0e383eed", "bce36092b1910ff3d492f86aa3a39ed8faaf72d2", "af1a40d2bd4bbebfea0a3b69b8dda593a24f9dce", "249d4ea043ca1917025b00341b4339c3d76fcad5", "6dff2bcbfad53238d24f4467a9504ce33ecdfa4d", "87e207fa31099d20450e60f056a0b1304dbc1bfa", "6cadbc0122376be3c249ecfec7de8247ffbc4fb3", "9304de56c284748273f7eb7d867eedaee971cb55", "9ef15afd2a6f58e96d8719d8d92fa10e16c8a243", "3f0e00188d751829c4548f9aacb939b982425ebd", "39905f28acee51506352c34736577d49ceb2f318", "66c92c9145c2b6a304eb1b3a58e2a717884fe064", "c7c0da2219c4324c5e8d5bc062c499286489c437", "c0a32aa37f88c7725d0ba73453b2a51f5fb2bce8", "fcd9221f8ef306155f59817a3b0bdae05e9e0ae2", "ce7a385b791686f318313e94a0b573c456c1297f", "dcace6f0611b77177f4aff4bb650afab0a819575", "4c1ef2a628627798939dccc072d33f9e12b48640", "0f7a5e5cd62066d2207a3b51f2cf26dbec1f134f", "4156f9fc5983b09eb97ad3d9abc248b15440b955", "0e9f7d8554e065a586163845dd2bfba26e55cefb", "bad206bfdbca3657c08868cd990cc95eb61a0c5a", "2db197fa498d54c1a659b57bd70c4e467c2237ef", "f011882fbfbc0a2436e01c98c1cf517355aeb20a", "0021e292c9d8fd19f5edd1cde5bc99c112f1992d", "a7ee9c43058efbaa4caa7a93fd833d3c6e90f4b2", "695e4c975740d2aedcfc42d7ec445b4b2b56cbeb", "16344102d21291483d1fa7484be28b563df434ce", "761b87a9533151d8caec56e5b48d5bea86ff6853", "3138e91d8920a3d73eab28c5b1655e8a245a6cf1", "71d68af11df855f886b511e4fc1635c1e9e789b0", "289853f2baf3bd63ee215e3e07ca011c45ad4277", "b5900b981020b00a48f544b942ae172a52ebccd1", "c89ddb0e978b78c062fbf9ea992da83e4b38778e", "1edc51a447b9e26fdabd25b6daa1729df5bc5834", "efe4b9b9957ee38c2762542b320adcf0e5d04bbb", "0f6c6f03fece9b0acd3d0866c09201ff42493ca2", "044ca9f2194aca3cef7fbc6b94eb9857819a17be", "79d805785ae28fb14423ee4124c32e49aa6e07a2", "36fd702e5686f91b7e45434f8e2f6ef51feb2d54", "52bfa4a8b3e3b8e0c0031ae53caddb4c067c04e3", "f47108e83398953e5aa56d5c5dd75b950d242f9c", "8318f563f915031c677decc3d133c2aee803591d", "04fcc898fd376338f7d279a06fe78b42a5a4d74d", "4f15b1e750007465024181dd002dfc6d1baa48c9", "5357e6e5d5fe06934bfe693d18b9f44bbd98f73b", "aa5c2ac60a288132efeeb85c5af1fd0b39294eed", "1b2dd300a43d0553f1deb578d9aea45d99472136", "3898a9dcb22f87413f08bb44c656f4129e1c42df", "4f9001753ceb18ee06f825687abe0e3d292e71e0", "c93ac931336befe341dc3eacfbf9695cca54f8f4", "7a7569246855b8620d65d016013ccd0144a4f3ab", "2645230afa0ade78708a7d36630b3be7087bef8e", "560b46547720b3a892f90a337835875f74f4f4ec", "3feecfc73e4b215664218852ca77ef26ff7af94c", "66f01a12edb1db3ebf6d165d89bb20e7be034510", "09d9d9d153119558e83643f0097ffb87e1037649", "8676167c1b45dff6fd9a35bfb1d3d326eafb6480", "3fb87254e76bba7ca98bb55d453b3b6f380cf713", "228594425c26d4fa97e8bc2e22329ebaec5d4b63", "b67e6f9c38d9cd2c41fa906e177b449094159039", "39e53535fc57343d301063246dde1871bc7e07b8", "e8f9a45fdd76fa33855d9a7a6e70ff1821d0e2e1", "d3f945e0f14cf069d8a3f97497e94044f5d3b21a", "0b55b31765f101535eac0d50b9da377f82136d2f", "9a5c896a527fb6b72508d7a6309c5c375cb2967c", "e5cb3bacd8003da8134583e382c9230966374f8e", "bc4e86b6d2d386805466b822a04ea0c015debfff", "8797c870c0881cd30fda186affee4bdec54aeecd", "3f31863c0e094a80d4fda3f23a06b50f6e2ad192", "91ab486c5d654f60f7c0bbf62ce7532647ae6a30", "1172b5f3edafb5eea176ad64ef0cec762ee22437", "20510478cfd6385d7d080ec435e8491d6b87c3ba", "f57364601b020dccca729c967b11c4a5da43f3f6", "60e87a914be211d775df47dd111a5c5a11a127fe", "aedc9a615b97442ddc4fd07427ff8595965d46c6", "84784b388550de5ecb5b7740ad8a724c0a01410e", "a3571721ce0119866088622755d678be7ee4b374", "09af91e913324255bd8358e62cd3b8a25f7141ec", "938d363a87fa4020fe1e526c439f6f52e66c33c9", "effd46389bc45dfdbf32f00eddeef6cf5f0f7947", "aa4928142b99224e96536d402ef8869b8391cf79", "1392d2f7310fcc1d07c3748b5416feaaf52c0b7e", "4e99eaf58aa5fb4665dffec0009e2464feb0f66c", "e266dc5a2ddcafd3229124dd9baddd9fdf90ac87", "a40b4bf3a921f07f4d07838f9092416189e077b5", "055b9efb3a7c558637c732d20ca5db311a2c6b50", "2e243d59184f781755339f6b415fff87f63c5ca2", "52f8eb239997d9a324d4794529c60522db8d08bf", "351550aa56b81de2eef4b8379dc85722366635dd", "402dc9ca10b92e848741991256d8b53d220d6be5", "580f3ef6e77753ce0b157ebc02656f346080d9a8", "4ebff380d7ec7a75d42d37414669707a384b0fc6", "9e6ecc12794f1d3215f93376a32b350a0492ceb0", "4aab784972af579879758e894fc52f50ac37f4f3", "b0698da6bc08772d686713945b561bc952dc7949", "3d84ced34be1e8e61cb66f9270efc801fb4f4f2a", "2b11f435eaa58f141b050f3ab63279cc716507d9", "962e4fee051d00737bf4a87fd05d90ef86252ec7", "114907f89466987b3c41c8d530e50b2ac67179cf", "b65bbf24479d4df65dcde2ac343f5c7cf96be3ef", "53213f7cd7817a06ac7d22e4fa2a708a4c96538e", "4e370791915e4b56603451b4fd1bd0105f1bcefb", "dc090aea412cef17c7a68ec84c34797806feab24", "0ef906e6c67d8a4a2558ee8978178da4402024e5", "894c2d4b9f49ae87f3a8937123e3d734f90ee6b0", "21ab1e521820824b41606554e94dd0584734d100", "be3fb00c4190e26b6a50a8c10c7a9ea5b8d45a2b", "36ddf5d08ce753fe00efc844be3769f09dda9f91", "5a362e8f6eee03095fb3001b417fcddd80ea3d73", "332740a7ababbfa0dbc974433bd5a213197c0dd1", "05ce0e4e9ae2c7b2320decb3bb29e066f1dd96d3", "01cb4ef787c020c242de53769e4718e4a615d29c", "4a1b67d1f30abeeecb270666605025d9d78971ff", "23316b1bb8e17bc1f9dd2c971093fca3407c32d0", "383fae9c0b9b13af0ce5c5e88fa8ad40c7a3e7aa", "5edf937723d48b03443b0cb27d32cb7c3cff3c17", "2fa941ed0f9546796499782e285a14cabf0186de", "7b67c38a6f49e02c03e1cea98146a506f607b0d7", "a2183537ccf24eb95e8e7520b33f9aa8f190e80e", "f22a7a7a8cdd323270d1f8173c0289d61981dc73", "d1097fc0fa5410888c7d791a0594d361114caac1", "6af7f8817d19192b157d9612139a7dcc9ef8930a", "36a0961cc64c4d3033aec820073d50c6470caa41", "7d97d4047f3668e8990dc96a8761632bbb313430", "bf47f87ccf1b2f9ad18cabf29a715114185648a0", "98d39a1af025a29212e054ef36b4e0004bff4256", "d2fa8990bf4fb1eecd3019f3cc718c536118109c", "8b793aba8ef62e41dabf0d2bbe3e84b8ead59fe7", "5bb9540375ba9bba22f8a22ba2990cfe7ff6780c", "415ce470a3c5f78bac68d945af5805a1c8ab86bd", "617294408da21693521adb2686209b04311703c6", "1e3739716e163fce6fded71eda078a18334aa83b", "08ba1a7d91ce9b4ac26869bfe4bb7c955b0d1a24", "3150fd3b0065372f898b42a3628318210fcd566b", "694dda2a9f6d86c4bf3f57d85dfd376e2067ec62", "e8d1d2a61c5a259440ef9fcd301093b43e87efa1", "eb14b933a374df4e909f6f61500d7a1ad34a8d8b", "6ff76bab8eccec64cfd448b9664e50db76e335fa", "54c3d2d5b10610e99cb71ce440a0b6e638ce6aaa", "2d2b1f9446e9b4cdb46327cda32a8d9621944e29", "82d3dc1dd35e7d2d13bc43614b575dce61b0aba3", "cf65c5cfa2a2b0370407810479f179f5fbe88fb1", "9853136dbd7d5f6a9c57dc66060cab44a86cd662", "b55dbcee433917d4fdf3976fa49cdd73a2bdbbb4", "4cb2f596c796fda6d12248824f68460db84100e4", "48fd03f97ea949b6b7f44d8db86ecfe3d62c49dd", "fa1b849697115ceede0a08ac552ea25ce2bf33a1", "8e351b3a0beaf62d8e1f8f879451f06577f9d04f", "22bdac0a9f98ac51d6db21f40c05d2dd80bcf3de", "0b72d7bc2639be9fcb54cb10d06e17e5dcfbe750", "d69ea1032b0fa7ed62cfb77c1569e66f2fa4703b", "c16bae6b2e578df2cba8e436e02bdeda281c2743", "1e747986c9efd481d380b28896115812eed54f8f", "f96bdd1e2a940030fb0a89abbe6c69b8d7f6f0c1", "29c0a5eb91c3ea95e0bcccec02e1f5c71adf0a81", "271e2856e332634eccc5e80ba6fa9bbccf61f1be", "c232d4989ad1bd9ee19d8309cf0fdec2a5c3895f", "694b23e806db505c0d5de29a7670e898043d3ccd", "73acf6406301440db5cd20d59843b145dba47556", "a082b1ee9a5bafe678539e694197c0910d4a09b2", "e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836", "f54eda209f30f9df2b11e4fd0d69bf15f6bfb9ba", "24662ce3f3499ec8c5ecc546dac69dbffad578c6", "75776ce56e649dda68d9a8f13a9df911662e5b79", "4dc94f68b13062b52b59141a77741d926d181fe1", "10afbfad8c01bf44e6fed021b53000b77f9ce564", "50bada01c37daf2ed11350b4b0d2be28d9bafd0a", "0c1d40de56698e672d3906b96f47ae1361fc3912", "2d9a49666bd72e7ba06579d9411ceb2df5205466", "3f089131d71321461f84a06064689b6daad951f6", "51144365fac99623cc7ab9038b7cd24b9082d5ae", "02f1d5035e15fcee198da9d67e6a182d52a94564", "6946acb595095407871992da62298254658f8d84", "5c22982dd4baa68cca5264263cc954f47503a46c", "3d0e9dbb81c4fcdfb179342f57f9815a5ca2b659", "48019c177ec1e650d0d67feaaf38ae12a74fa644", "d1d15291dadc44f0cd192dc88bab3b10e2b07ccd", "75d5e67e31cefa09ae46044fa1f9f7696e058c99", "1f00f197f222be4a3b081515eb8d3f014860cec5", "84ba2ff2a4d75e46bfe39c18ad075f4972c3ed73", "250252b9693778e0af653efebfe17f68d649c8a7", "dfe98039db4aab11338900ae393fe02eda4f2374", "eca4aa7238d232b108847edb62a49e38cdf8115f", "b92a057606a47eb7de6ecc180e4dbf53c4a8d4b7", "ed3bb078cab7f423dacf6e946538c6fd22e96e1a", "a2cce59fb47aef0974efa89145d6591501bbb318", "1f72bead6784e66e0e0e8ea434a342eedc7f9e64", "03d1695a2788969558cf17ee2a391f191b77c7d9", "65747ccbc558ba2ffb6c1726ce5808f0c5f81774", "6f71a23914ee823a54c5b77e8a424a5094b70212", "ca1bbe0a5d7f202fa47b836c0798eecaed926818", "4c7c1c2d6eebd227b1e768eaafa5a61e27552567", "ee4c659ad75c302b223a3815a65aa2e304cccc30", "dd7faa9ebacb64bcf4210c3be76202c592e3d637", "559bdd52d77c1d5c60d9d837168f4b8affec877d", "55b55426fcba3e298a20a4b95753a906956fc2ac", "9a7973f85c7db836efc5d00eab80019d7a94fade", "0b875d54bd3ebb87ff63f0cb46bf53e1fa3299c6", "6462a1def50d89eb485a59f99b4094c33f705de7", "a6fe55171ca0dec20ab9f3c226351aa65d6d135e", "22ea4705091ddff95924cc092373aa8e87699765", "d23ca7d5f846223b793a5694dcfd9cc931aac1aa", "f746820469018e2b431763261f22f8ba800ed1e5", "1997d4e2ebb511d7dc7ce96d746bc5a375b3fcec", "5b7870359b8b9934453f8e772ab7c3f9df3a5035", "2fd007088a75916d0bf50c493d94f950bf55c5e6", "d82507debf90ece1153481a2cd7970d65b4a4a73", "9db17e98592448c3d1a6dfdb38fde90ced7f3d68", "4003a42a10bb9d5f30fdf8e8f8bd0c2ae4db5d0c", "15b07dae17f184c8e6efbc9d2b58526d8e8dc9d4", "4936ae4eeed5bbfde4460333bbf243ca495f6afa", "31bf8d7f5d373a2dece747448306e2228be51016", "f5638a48ffd8442ec783a06100ac252152784eec", "a9771fafd73b650235e6b5970e494187df9b3922", "2bf646a6efd15ab830344ae9d43e10cc89e29f34", "9c42fe587d3c1640fa44e9ddbbc3946382b06368", "e89efb10399d347a6222534523a1f8e67ecf4dfb", "021dd3df72c8d29813c3ea4d314f1f49028e44b1", "f8cbc1afdfae8fc50625ef859e7c0fc670052ae7", "fa21c47308463fa57cb6f56b83fdc44e8cddeadf", "1aebfca04911885b18833e64e6953c24a5bd9af1", "86533e0737d8e41edcf679f1a157d9a3ef56f278", "d0e87275aa98b174d5dfc4aba6486700def0891a", "b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3", "1e058b3af90d475bf53b3f977bab6f4d9269e6e8", "60970e124aa5fb964c9a2a5d48cd6eee769c73ef", "7b46135815a3ef42e83607c24a5512ce811ef894", "a50b4d404576695be7cd4194a064f0602806f3c4", "e6976219ec2216bd605d007e52915558d1eedbf6", "6308e9c991125ee6734baa3ec93c697211237df8", "96c07a686b9610e65e5326a0f5a2f35004de0ab0", "c4bddf62e31dc4f1234772dcb952496a1e77b179", "fa4d9953e3c7e75389b98efe00a3b0aa2baaa908", "418b468b804379e8a600bca0395e01bffb7e08de", "09733129161ca7d65cf56a7ad63c17f493386027", "e83763cda3533ac93a0ef8cdf6eadf79d9b71509", "35fe5bc1b7edf2b3be4044de53c0cc8dd615d717", "8ac621e1e5c57831940600fa44e5b98f5be4c4d8", "41cba0016d5341670699c4696d71ddb5a53adca7", "7d90d5d82e92414a6df6e72c97696500a67799be", "4f4246fe254e675d5ef9a77345a67c5478fc0a3d", "b9696bdba6e16959258bad17ce26e6a643be5faf", "cad332c213bd1795ecd1f8560d08f82dc0abadda", "b71f6b1684ae2a55ecdc7c70155ff85bf6cbe6e6", "43cbe3522f356fbf07b1ff0def73756391dc3454", "2d5d3905adfea7a6a8371dc2c5edc669cadacf70", "c1605859fcb7cedacc5dc5aecd3e63eeb7a126da", "9112a4f2da74ff5976dfbf69366f69a23c154245", "48ab839eceef1c4a395a8dac764a7b17e9efb958", "8b7724e2e5dec9a0a51e84a270c9b9db84b205a6", "b46858ec8d4c3e64bfc058f208a86f7b2be26fcf", "a56c1331750bf3ac33ee07004e083310a1e63ddc", "a5f6c7d9fa7c7ca08cbd83f409ab043825115d16", "9d2c3857f74b89a6a64bb9b7b3094e6de7c133e8", "c592e48ab59a1bb721e8f74a15c6d4714716e195", "1c11f0fb2d03efd0006fbfa6545c1393f134d6ea", "2126109a919edb04cf45efa9cfc6dff708136d16", "32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b", "758d481bbf24d12615b751fd9ec121500a648bce", "57e8977d603ffaa536bb975f879b8f9a0be069ef", "0ccfd05c31685f1aa4a55346eb9ea7057bc5fe8b", "656ef752b363a24f84cc1aeba91e4fa3d5dd66ba", "2cf9088e9faa81872b355a4ea0a9fae46d3c8a08", "0394040749195937e535af4dda134206aa830258", "5253c94f955146ba7d3566196e49fe2edea1c8f4", "6676809d0ca8ad0a2e90520cd65369a22e6fe699", "1d1184c92e7651d09d3231b4e650f3611a8e2c8b", "e6301f40d56570b4e1ab5eb014dd610c39d67f5c", "8f992ed6686710164005c20ab16cef6c6ad8d0ea", "8b3d46b286412a6241dd380c8e24577162010d4c", "aac39ca161dfc52aade063901f02f56d01a1693c", "b5690409be6c4e98bd37181d41121adfef218537", "c1ccd186038c7d48111fcd37cfee668e335277c8", "74b0095944c6e29837c208307a67116ebe1231c8", "c0723e0e154a33faa6ff959d084aebf07770ffaf", "a237e3d89c460e1b2e3f12c5d4275bd0c6eb47a8", "41c506d8e6ac755a8b4616c695aab97ba89c23db", "54aafe33c4a32fb5875d04fd4a6e6da50920c263", "234b5d9e48189199d5fa5785fc4196abe1549f83", "88fb65c5d2645aa0cc212d63754bfcd24590a947", "84ac1f99dca12eb53549bf085388ce3cf5673b74", "ad784332cc37720f03df1c576e442c9c828a587a", "13f615a51b17e4726da17b692bcd80432481f2e5", "928b6bc4492740e8eba83366e9b21eb47ba59067", "f842b13bd494be1bbc1161dc6df244340b28a47f", "3917bf2cc075ef075d9c879fc9ec3349ea116735", "35d90beea6b4dca8d949aae93f86cf53da72971f", "8e158fe4fed61e9a0b16944820365d0a6ebf29a8", "54708655fca567e3e4a8f0a0345d4a17c7288eb2", "956317de62bd3024d4ea5a62effe8d6623a64e53", "0cfb0fe4c4fda4dd5438e185a59f61387d4380fc", "1ec2ad2310b29380716897278e22574a9cbc4a58", "7314a2d0251ab9d65c0a468c39bbeacc3d565408", "6189addbbd3f48a220380eddedae7909d4adfa47", "d1592f44b4e24d9790de1f344ea971449dda7c6a", "59d1b95786ef51ae9f407fca59d267f043e50527", "b52c0faba5e1dc578a3c32a7f5cfb6fb87be06ad", "73a35a3129be46c46d1aad659322ac611a613045", "9a5f3bde520fa1be393867ef82dc0b49ac053d13", "b446cf353744a4b640af88d1848a1b958169c9f2", "158aa18c724107587bcc4137252d0ba10debf417", "86ec0e331dd494533e16dd638661463b7e03edb7", "6d4c64ca6936f868d793e1b164ddaf19243c19a7", "023b19a690841b7541bcf61a899e56bf991f6c8a", "ffaad0204f4af763e3390a2f6053c0e9875376be", "2ad7c65b61a311ad64b1b5b04ec9c61b9580ccbc", "60a8d30b726bc25779e9e3367cf0d46bb6302ddb", "51520d6b275404562c7116b03c92f8477f8ba821", "eb9b3ffb765b74ab920d5f443cff890096d5ad2d", "6003700dac1158c876fa1cf94f3830a54608b375", "c78692bb455a3abb00aaa06eb9cd151cde08ba1c", "96b27bde9b78c89efbb8ad924ffb503ad9dc7df4", "daa8a47e0b40bdbfa2584e193f76798c79955fdd", "f6ca29516cce3fa346673a2aec550d8e671929a6", "984bb0fd4137266db58d1f2f2dd498ea60c4cb70", "0d88ab0250748410a1bc990b67ab2efb370ade5d", "69b3f0298ea8d0c98857e6aeefb35635bd64e490", "efd28eabebb9815e34031316624e7f095c7dfcfe", "e68869499471bcd6fa8b4dc02aa00633673c0917", "91835984eaeb538606972de47c372c5fcfe8b6aa", "e9d147e657619c393ca702117602fd7d15675f69", "7ec6fc76bb6d030e9fa5a87ba672b228d0b83843", "2ee817981e02c4709d65870c140665ed25b005cc", "365866dc937529c3079a962408bffaa9b87c1f06", "c252bc84356ed69ccf53507752135b6e98de8db4", "8682dd2caff6b658fbbc02dff9f37e95bc122a7d", "69a77cb816a31c65699cd11c4a3b1b82ae44e903", "85f27ec70474fe93f32864dd03c1d0f321979100", "096eb8b4b977aaf274c271058feff14c99d46af3", "622daa25b5e6af69f0dac3a3eaf4050aa0860396", "4882c926b4833fd2644e7bd0140cc1be96789909", "f0de1e61ba806f3db918f9e498fcc6dfa223b13d", "bb3379af7f557834440a2c28c51ad323adcb90e2", "7957abae15f631c5f5c50de68aa2ad08fe1f366f", "62bebdd874669406a858cfd7e7409c3b8dd80ef6", "b658fefafe36edf7c62fbc9eb728ef971f478e27", "7b0fe31043f19750e75f6d171e267b68bbee30f5", "576a86a57a3e69f2f52740a46e4a446d4bcede97", "126535430845361cd7a3a6f317797fe6e53f5a3b", "a090d61bfb2c3f380c01c0774ea17929998e0c96", "0aad706c0b9d1eb4f262c801c3782ffff7281de2", "abbd84c0a5bb081fc24ab760c99b57f9d2a9e490", "45a6333fc701d14aab19f9e2efd59fe7b0e89fec", "2460d850ce9e9bb9366b2f896c9377524ac36c15", "6f0900a7fe8a774a1977c5f0a500b2898bcbe149", "36a17fc4db6c12f2b1e4e04131824a24aa1ee43b", "7ae95e5d44a8745e38bc98b0774d24bb7adf8086", "03688aefc3f5f07c3abbb76423ad03d1e44eb7ec", "1ce7b042e67d909ccf6088c30bbf095dfe53597d", "205616d715f9ce237775cda1d6edadb6e410a14c", "c0c1e8b48a6ed1f6a496c67944322b80710f747f", "8a120fbfabc8f69aad8bfe127e004eb97f7d0233", "bd9b7f47ad3a278e29852eaca4efe967d9aa3e93", "fc5538e60952f86fff22571c334a403619c742c3", "9a334566b79bc6c6906e2b5285d5ea50b9b99479", "034c1fe8ac2d1ffe221597f0d4443c6d1655ac13", "08fbe3187f31b828a38811cc8dc7ca17933b91e9", "5899177113947d5463daa92a6d1cadadc71ef253", "9a28bebcd6761b39747b23eacfd8265076c4bcb8", "cd5b9784c3663d0773af73ddc1aa73f13f0a2474", "1ff896f707a5ee2868282d3272c6baa4a61b406b", "a7b45bba9b93aee6188895f5eb2b3d7da28fd588", "6a0b70abb9a81a96d4baa9b396deb9da4cc20f8f", "c4e2d5ebfebbb9dcee6a9866c3d6290481496df5", "2d3b11e267832bda506d58419e63d9a096369616", "2f8183b549ec51b67f7dad717f0db6bf342c9d02", "cf8d48fc11fcad3076a45cec68f107509a0a7aa4", "b93ef6e6be98b4de41bc0de944668eb9fdb781f4", "22288423d1caddf6bd4f678244c071dc2b727be4", "2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9", "78a4eb59ec98994bebcf3a5edf9e1d34970c45f6", "a8604cf391facc4fd8738a20db89f9cee5f998d9", "a3775b3a0e78b890d9ca79b0aabd982551474a88", "f25d11f49acf6340ac1e31c2f984ed85c7531343", "45de1aa355745040b1db312f1f90a5cc344bccec", "0c7da1f0c86a6250ed956d9ec7092505e64da865", "efc78a7d95b14abacdfde5c78007eabf9a21689c", "2f1b521c29ab075a0cd9bbf56ba26ee13d5e4d76", "76d9f5623d3a478677d3f519c6e061813e58e833", "91b3aeca88e910be86f23a5bb6c1a2351eb23fae", "19296d0050cfb9618facffc22f0b0a9757882977", "0ee3ebb327dff07045901485348f290bbc46ec1b", "64fd48fae4d859583c4a031b51ce76ecb5de614c", "195670d31dc6edac26e58d280b26b36abf1a1b78", "76af670a2577bb527d452ebb8a6132902c20aa0f", "3933416f88c36023a0cba63940eb92f5cef8001a", "7f2a234ad5c256733a837dbf98f25ed5aad214e8", "89e31777f221ddb3bc9940d7f520c8114c4148a2", "04bcefafe9313add468d719131eac59100015972", "03bd58a96f635059d4bf1a3c0755213a51478f12", "d75bd05865224a1341731da66b8d812a7924d6f6", "eaaed082762337e7c3f8a1b1dfea9c0d3ca281bf", "1270044a3fa1a469ec2f4f3bd364754f58a1cb56", "c5d9ac2f52c9fc229890798b9d6e4d899b72c525", "fe8b2b2a2ace6d6af28dc0f1d63400554c8c675d", "70a67688de6a061c41bc34af9825036e864cd847", "f179f7888934b11dc5a2d8ff9205d1ca8b8a1599", "e8026fd588cccf00eab4e75807b830057612e270", "115b020a2d7d7cff342f69a6cf0a461fb9b46f3e", "4b7c110987c1d89109355b04f8597ce427a7cd72", "d5e14ac4d78654bb68a6693498dd8c742b91bbe6", "acfd9cf5d48cf0ae64661affddb9f90d0356aab6", "3fd7697610cd87aba8a83e2d2171fe51602162d5", "41eb77689fcae606b530b8a7fbc5b17ec9e65307", "93a2a0f81f977f0d881ece70391bc7a49b6e9b8f", "016cbf0878db5c40566c1fbc237686fbad666a33", "0ef96d97365899af797628e80f8d1020c4c7e431", "60838941f9c0c14376e5f32d43eed350470fc7a0", "2988f24908e912259d7a34c84b0edaf7ea50e2b3", "8bb4d90d5b97e8d08d2aaa99e9c075a506b3108a", "3a95eea0543cf05670e9ae28092a114e3dc3ab5c", "426a8a0a8f6955ba7a60bbb192d4bcc97b557b62", "dce3cc767c66e46243f0ac6caa1ae0d07d3b1e29", "f41e80f941a45b5880f4c88e5bf721872db3400f", "176e46e33f2693c5a37f65c16c797aa8e7dee2f1", "3e3a87eb24628ab075a3d2bde3abfd185591aa4c", "d12c836c67ec0a03a52437a3c9705bc905cf8b5a", "a91f26feecd83b1b325f109081548ee8fa43b438", "5304dd380f7590683456ba48fd81c68c8795ab09", "597a541c28c7e68a29fe6edf13d0741a6a3e6cc7", "3eb8a7e8b517974e9df2eb89e085d62894891977", "003ba2001bd2614d309d6ec15e9e2cbe86db03a1", "052e935a65b06e05f4154021dbb33380edd26576", "4f7e9e22040ff5eb81b6347850330ee8dffabbef", "16c1b592d85d13f1ba4eff0afb4441bb78650785", "da7bbfa905d88834f8929cb69f41a1b683639f4b", "2e0addeffba4be98a6ad0460453fbab52616b139", "6fd900927c93a8e9f0677aaf7b4782455c35d533", "d80941f492c0f09978adc2745f96ac938c5c2d37", "28d7029cfb73bcb4ad1997f3779c183972a406b4", "cfdbcb796d028b073cdf7b91162384cd1c14e621", "6ff0f804b8412a50ae2beea5cd020c94a5de5764", "c5844de3fdf5e0069d08e235514863c8ef900eb7", "18b09b3260aa110cf5b358cafa95b7440f26be7d", "b37563a750eef10830a03aeceb9c9d32e836b7b9", "960ad662c2bb454d69006492cc3f52d1550de55d", "eb38f20eaa1b849cabec99815883390f84daf279", "d86c285cd89cad9c91bee28a44d5e463b3c8bba4", "cc5134e148bd4392125c752c4b5ad259d398abfc", "8c7811c029905f4f3e9f31e925634a42e413f6d8", "2e696c2776dc0b7fb923628e5fda0b5dc9a0335b", "cfeb26245b57dd10de8f187506d4ed5ce1e2b7dd", "02fda07735bdf84554c193811ba4267c24fe2e4a", "8027a9093f9007200e8e69e05616778a910f4a5f", "50ee027c63dcc5ab5cd0a6cdffb1994f83916a46", "817321d4008bf95e9be00cf6cb1554a1aed40027", "25dcac4afc64a2019e6b4e34786b8f9de9d3c860", "956c634343e49319a5e3cba4f2bd2360bdcbc075", "af52e0fe21ad286c443b63481bdd1a24d4a3b93b", "518edcd112991a1717856841c1a03dd94a250090", "971b3c1396970420bd723a51f7550938a50c2c24", "87309bdb2b9d1fb8916303e3866eca6e3452c27d", "028e237cb539b01ec72c244f57fdcfb65bbe53d4", "34a7a77e533baa5c6c14e6364c2ed6eb66331cff", "6d2fd0a9cbea13e840f962ba7c8a9771ec437d3a", "84be18c7683417786c13d59026f30daeed8bd8c9", "1125760c14ea6182b85a09bf3f5bad1bdad43ef5", "748e937cddc1b8335cf8872e74adbf681c0a8d1e", "be06e8841bc1e7205bd8d3fe77470a3369ec96b5", "4993ab9c737e5ae7799e9ec636235f527bd00637", "2a4bea0e308c254444216d72c54ac12062c382fc", "60912e6fe983b5030e6ada20444662b907d0d7da", "07b5d38a050308ffa082a74a5a851a8f8a33e2b1", "49e85869fa2cbb31e2fd761951d0cdfa741d95f3", "56fa0872ed73f7acfbfe83677fecb2dbc6eaa2fe", "3e4d8f29b792db30329024f6ad4aaebe948d896e", "4ba38262fe20fab3e4c80215147b498f83843b93", "01d2cf5398c2b3e0f4fc8e8318a4492c95a0b242", "f43d456ce77c093460e02ae450d15577d04e1d34", "539ae0920815eb248939165dd5d1b0188ff7dca2", "64a08beb073f62d2ce44e25c4f887de9208625a4", "cf97f2eff309a76408ac9e23936aa21e0dbbdf9b", "464159a30f6a469916e4bb5efde42a95e8f2bd10", "636613c0b0092c57566eb4697e905fc3b9646a09", "bd6099429bb7bf248b1fd6a1739e744512660d55", "e4b921ac6e5859e348d66688e70c00889fe448ed", "8aee8e4860346138f1f70aa98c19533e5b7b7899", "2042272213a821270a320bcd2732ca91e6aa09b8", "a9f2e27be70a75f5335df280d2243c87c76c281b", "3bdaf59665e6effe323a1b61308bcac2da4c1b73", "7bf0a1aa1d0228a51d24c0c3a83eceb937a6ae25", "34e11e351dd9ed2dc982016528708c5953a204bb", "fcd62fbb4031ae078dc6471a7a8bd63966719157", "a87c4eb335d60eed7d16ef78e84831372c09a7ee", "335af998fd86806422a4500ee6defc26df8a5388", "7a1d52a7e206c1b20a45c6c2726a99c9fe2d8d47", "4234b70ef6aa25c1f39fc3226d5897ddece63783", "d41bcb0c79f46aca47b9f9b8a779ce80a2a351f9", "ed94e7689cdae87891f08428596dec2a2dc6a002", "00fe4f5447a848b4c2f4183e014b7eeebdec84cd", "9a1246da9730ddda1f982a668816b501791a2a64", "c3b19b65c0178142683c2a3318f492da8bcadb1a", "0a4a8768c1ed419baebe1c420bd9051760875cbe", "f88ce52c5042f9f200405f58dbe94b4e82cf0d34", "73a554f9d2c96a7bb5455878a4361b6eda4ba683", "43e268c118ac25f1f0e984b57bc54f0119ded520", "2c10ab9fbffcb0562adfa8cd523f090c497d649d", "c1581b5175994e33549b8e6d07b4ea0baf7fe517", "6a16b91b2db0a3164f62bfd956530a4206b23fea", "f3c08d3139f14689a07a8208c90fea139817552f", "1d10010ea7af43d59e1909d27e4e0e987264c667", "f2eab39cf68de880ee7264b454044a55098e8163", "1032c2c6a95f85d6465ffac7c1dfd2842a457f10", "259e35fa5a57cf16010621639957777ebad72367", "49600d98d45292a7bd8d4b7626feb00e22ff6768", "38f8314b006033d1fcef1ccc547134824976e587", "153e5cddb79ac31154737b3e025b4fb639b3c9e7", "337eb9cea869ba22b7d684b34642fb6d90e32997", "182f3aa4b02248ff9c0f9816432a56d3c8880706", "658371a7f791d7ddeb266e939381d278ae809da5", "03fb3df33208b149252717e2d27e1313ea170a7e", "521120c3907677e17708c17c5b6bab9087e61c5b", "87f452d4e9baabda4093007a9c6bbba30c35f3e4", "33695e0779e67c7722449e9a3e2e55fde64cfd99", "29e96ec163cb12cd5bd33bdf3d32181c136abaf9", "87f738d3883fc56ef0841484478b89c0f241df02", "7eafebba9ffcad7ad29b6de2224f5fcdbf0290b8", "c1d239b42a8aa6c2cd2f3b95b3a00929dca20b19", "4ca9753ab023accbfa75a547a65344ee17b549ba", "b58a9cf29e4754538a916a971737a9475aa2df9b", "690d669115ad6fabd53e0562de95e35f1078dfbb", "0c345b159d5e6ecf23fcfba89d40b736725dd011", "1ad5cb4c1eec5a9666b5dbbb6fab43576d0935db", "2608cab2910f53e5738664270c7b362d9ac4332a", "00d94b35ffd6cabfb70b9a1d220b6823ae9154ee", "89f2a9e37fc6c0e5c1175f36ef8d6f1c6a9678f1", "a9bdeb1eb5ad47618fb0d26f97c071a262446321", "4e19dbb5421436fa7fe3b2ddea11b31ebe65c5fe", "80aa455068018c63237c902001b58844fcc6f160", "25127c2d9f14d36f03d200a65de8446f6a0e3bd6", "505e55d0be8e48b30067fb132f05a91650666c41", "d18cca5e90884020e748e7fe2d13398d3cbd14fb", "1e1e35284591b6a69569c48b3677b6f4409c5edc", "2edab301935d1e1faa0859897b617862d4fede63", "60d247a09ecbf3d04e89c0427fb33575f3759d41", "d4331a8dd47b03433f8390da2eaa618751861c64", "1f0de93f24ece9d74be1c3ae8d53d773f2e80ade", "c2d6fcb629baeadf3f7336a8d639274dd7b281d8", "0ebb71e013745b5ccc7ae1e17632fb6e07da2c4a", "0e1983e9d0e8cb4cbffef7af06f6bc8e3f191a64", "9b2bab14258edae9814d08111b65fd086cbe8d25", "75c1268e4f4411b187b6cbdb7117d4be886f039b", "fb2bd6c2959a4f811b712840e599f695dad2967e", "4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676", "266602ca695e504a9bcd18c7e3b46e82b85733ce", "16671b2dc89367ce4ed2a9c241246a0cec9ec10e", "dcfdfc1b8fe03b5b31ca61bbaa284533e1d7d7d2", "16c095142cdbb2d2852028e52145471922a7714e", "4631ea6ae36984485b33043660c3a9a8ddcd86b6", "055d3a41298fe36e0dab50c19d0c43eab5d1c020", "2a8a2902fe61c00b5096435c07150543cbed8c2a", "710ba7597a16e73a9f1bdb42153fd4626c7f4a49", "9bac481dc4171aa2d847feac546c9f7299cc5aa0", "e7b7df786cf5960d55cbac4e696ca37b7cee8dcd", "e42f3c27391821f9873539fc3da125b83bffd5a2", "e6e5a6090016810fb902b51d5baa2469ae28b8a1", "918b72a47b7f378bde0ba29c908babf6dab6f833", "3983637022992a329f1d721bed246ae76bc934f7", "e83e5960c2aabab654e1545eb419ef64c25800d5", "ba99c37a9220e08e1186f21cab11956d3f4fccc2", "e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd", "f58ddc47e485bb1fe70e150a7e9d7c2ea1f83d8c", "b2e6944bebab8e018f71f802607e6e9164ad3537", "41510adad15c56c998a3190c550c0841614996dd", "ae92d134963aa3ebe6bc6de216ecbf7d1a587ec2", "6a092b8bb90234aa48a25ca12b206929fbeaa4a4", "6f73807e309b262c5761c7a73c6a5609679f9f02", "5a8afaee351e2ba4f37a6dc06d02f88f653db1f6", "8f6d05b8f9860c33c7b1a5d704694ed628db66c7", "077d88f5378e6a4df868609a53faead2c2b8b4a5", "d9739d1b4478b0bf379fe755b3ce5abd8c668f89", "84b3c815bd7df7a3a03bc0485e633ea08c71e9c7", "ca902aeec4fa54d32a4fed9ba89a7fb2f7131734", "65723941ebbde69fe1842b9c2a405bd499a7d266", "c6f425f7b6147aa30b26c730d478f04052208e08", "c8d36a1ef1555fe4f8026f82f4e8905701519579", "7e86e86de52810f9a7f596f7b8ae3e89b4f44606", "57ca530e9acb63487e8591cb6efb89473aa1e5b4", "4e46301327280138c49f3ca4c268dba6a9cd4da9", "3d948e4813a6856e5b8b54c20e50cc5050e66abe", "b6919d278aa46648ecf6f64218efbd6b0fbc53b8", "b3191a0848e6c3fe7eaa8200f1668d0eec767414", "2fbb2160fd28add63da96ae40ef51e89d2608f92", "86881ce8f80adea201304ca6bb3aa413d94e9dd0", "6d207360148ec3991b70952315cb3f1e8899e977", "0bca804d834da6870ccafc4a738e9a5a54c47b63", "da6cb7b63fbdb50bde5a23731f64d98e13b568c7", "92292fffc36336d63f4f77d6b8fc23b0c54090e9", "fa71b3be5089f070518f7c150441b43a0ce9fb0a", "b591430dbc7070cd35a7b1cf7ef519ceb2fae81a", "692d1de8ba12b71bd21ed4f0010d14511b17bafe", "c3c463a9ee464bb610423b7203300a83a166b500", "fa68a1d46a736dbf3094893e73d10f45e36270b1", "983386734fa2e4312457a9129a8844ba4f3c137a", "e0765de5cabe7e287582532456d7f4815acd74c1", "9c1860de6d6e991a45325c997bf9651c8a9d716f", "0ed0e48b245f2d459baa3d2779bfc18fee04145b", "bb59a415a47357b61ef39e93d6bef02f3db1ba97", "05a312478618418a2efb0a014b45acf3663562d7", "5889f0d5976c25aee9a9e9cc470d70220ac5bc32", "2e5b6fb6d6fe250e99a2af47949932eba01f5b8d", "7b7be292b5affb37400624f15674cd8fd39a6432", "5e19d7307ea67799eb830d5ce971f893e2b8a9ca", "439647914236431c858535a2354988dde042ef4d", "a2e357531c5e8b7caf6bf3eeb1f1330b37439d69", "d8b88110f4c9c6cdf69f51a8930364a9d92e802f", "2eebc3fb68ecad910394d107f807e3c9eef8e540", "9c781f7fd5d8168ddae1ce5bb4a77e3ca12b40b6", "461fa46a23fb057d807742d17af64f663d2e4229", "1ad97cce5fa8e9c2e001f53f6f3202bddcefba22", "08229cf2932040b1980c5b8a172a6e9ce89e30f2", "bb1cfe44091679336c5558b4b2de515978e9a657", "5e06558f2b5c60c9c1a64d6bc781c38d0a1896ef", "1d396b39d6a46675891808c1622870a60ae90816", "1169396801c2ef5a60600ae1b3f13cdeb492dfaf", "07ddfc8c78ae0ac15b86d9380a26260f1a34ced4", "951722d388c5bfb906d0e5f8cd9c02d799a9b716", "5e7d213b6cd5d06842c1e6e79cbae9e31beb4cf4", "c05be9d27c8e7cba75a0c4f353a3712d2c6bf902", "0aa74ad36064906e165ac4b79dec298911a7a4db", "f17e8b6c716811c88a82b39a057fe68bd0aaf2e7", "bd668fc2631f9ecbc92631b8be8f707d21fa6819", "1a0e1ba4408d12f8a28049da0ff8cad4f91690d5", "4aac8f4b8e459d06ca22cd1b7606af99615bd5c7", "7477cf04c6b086108f459f693a60272523c134db", "28d55935cc36df297fe21b98b4e2b07b5720612e", "9771e04f48d8a1d7ae262539de8924117a04c20d", "499f2b005e960a145619305814a4e9aa6a1bba6a", "77be118034a700e5b7d9633f50f6fbb7fabec8ef", "18b0cd5f044472803d3436475d3cd3ca648d9f72", "54bae57ed37ce50e859cbc4d94d70cc3a84189d5", "52c89ca39a9fcad716e1e43c0bd4e40101c15d64", "9d46485ca2c562d5e295251530a99dd5df99b589", "40fb4e8932fb6a8fef0dddfdda57a3e142c3e823", "b3b4a7e29b9186e00d2948a1d706ee1605fe5811", "9e4c6eeb94d36fca5778e04e7a1b4f4ac98ccaa7", "093b8f8b401f4a563d9ffe99d2b5a20b3b83a390", "503b6a490c2b24b9d2aaf642a0fdaf797a8cdb99", "319671078659d8845690a6a785421bf2ea8f7b5e", "118a336b7b8f305634f5fad8bbefcff988da601f", "4b429441b2b163380c8b20fe4b33c239e875f7a4", "1ba5ae098566b0dd46a4b68e88c53c18e90675d2", "d723b1242e45b041d254bb85e5f69c0d96ca7daf", "11de4195ecf7b24568b0c893125cd6b8b469f0a6", "03e72b4f932998bc363df1d49650bfa33dcc2872", "573655c3023f938abcd60b4e188e108ee3ea9614", "aca0707883f9d356cdf430ab59989d4bfb765a9c", "188abc5bad3a3663d042ce98c7a7327e5a1ae298", "8c5ccfb019d8dba31cfe3aed662bdf9256b34623", "1fa3948af1c338f9ae200038c45adadd2b39a3e4", "a233cb665a6b44d233e8fb2913e5b57b20e1cd7b", "aa6fe54fab214cc7ed42e25af4302c88ef650128", "5c624382057b55e46af4dc4c055a33c90e8bf08a", "0ba449e312894bca0d16348f3aef41ca01872383", "b88ceded6467e9b286f048bb1b17be5998a077bd", "8998e8a7a0ca9b09ab4ee462a8f15ca653953f88", "c57bd8365fd4d733f56ec47f989877d90cca44d9", "48a417cfeba06feb4c7ab30f06c57ffbc288d0b5", "e0b8e7d684e68054840014b751b85b66fb1e388c", "524db5e7c35c2d6a5345db8c535232b397324677", "fb9ad401113eb5000b50923514f7c6eabc0233d2", "1a3eee980a2252bb092666cf15dd1301fa84860e", "b018fa5cb9793e260b8844ae155bd06380988584", "30ee29aa8fc9f4566cf65ee3300cfb24d8b80350", "4679c92445db1337406fdb824f6becf17d627144", "ff402bd06c9c4e94aa47ad80ccc4455efa869af3", "4adffe0ebdda59d39e43d42a41e1b6f80164f07e", "074fa5163f86175aa338111d553ca6e947a757b3", "b9cad920a00fc0e997fc24396872e03f13c0bb9c", "0a5631595a7e6e74b0dc587dc53f065ff2bea417", "7bd37e6721d198c555bf41a2d633c4f0a5aeecc1", "b8f12a17afdfa35a6c3dd7d652fe0acc10bc77ae", "59c91d28363201f421cbfb8819ccc5c53dacb00b", "84b5f7c7148555c2d0f156660eb2f3dcaef83ba8", "67f1f2bec9cdd5cf52b0732349fd7657a45b10f9", "6aa61d28750629febe257d1cb69379e14c66c67f", "656aeb92e4f0e280576cbac57d4abbfe6f9439ea", "60bffecd79193d05742e5ab8550a5f89accd8488", "2b5005c2abf2d9a8c16afa50306b6959dfc72275", "aecb15e3e9191eb135bdba2426967bfac3f068db", "a01b807b7a3a6df0c97fb0658951b0ff07cec3d2", "1cee993dc42626caf5dbc26c0a7790ca6571d01a", "29bc1fdcf9d2412c13ad9ddf6249f859b14fdba0", "4b1d6a73e5f54104b1c0fc64642aa5c6f9d2e2a9", "8b7832fae1ce38497548e8f747e662634875ac29", "12d8b28e3da6651ec8518319135be956c8bf0162", "732763608dc94ca39b42af8fb1317e0a8b3a98d4", "7b8cfd54bf9392c91af4c4621d793ede638fc81d", "dd0258367fadb632b612ccd84fbc1ef892e70aeb", "c9be1001706bcdd8b35fa9cae733c592e90c7ec3", "7a7db5a1325844b62d2ecf8489872c8f515f1c37", "a0003e7fe6b135b9cd777782ec3ba2d11e5f7c16", "92d20871dc410f6dfe9f9459249eb6b3824a3f71", "0d039f202281d0921f7bece7c5987e2cdf5c0cac", "c4cbef8b1f3a5aee0d9a92ef00971b7c833723aa", "08517a94cbcd1c2cb39a74db13570c05ec191c58", "cf7c8bdbfbfd5dbc1cf6a6d47d7b51a6904fa628", "543454759a1fb6e5f6471034174d4421c9e48aab", "4909ed22b1310f1c6f2005be5ce3349e3259ff6a", "d93366facc8c28c7312da80b1860993f90739644", "cbd1fdb389095f6f2f7f829970f85166eee59d4f", "d02c54192dbd0798b43231efe1159d6b4375ad36", "208659475ab6869b2a4eb5fef519bb8f9b43b518", "d3badf073cb7f6e9e140c9cf82a8b017862b1781", "487f9ab19ca6779a014278d93f3e56ff82dac2e3", "9c9ef6a46fb6395702fad622f03ceeffbada06e5", "2f3ec6d666d7b94b63a104f92859199428b77f78", "7c3c09b6200e9749339eedf41c272e9ca7a3af9f", "d16471d4a5c300a122c1b1a4c802ce4748835e1a", "f652cb159a2cf2745aabcbf6a7beed4415e79e34", "fd228f05dbc4b5523fb0fbaabf64f22425e63535", "2ff6f7e489ae8ff054422444a5e0604e30f3e97b", "72f4aaf7e2e3f215cd8762ce283988220f182a5b", "708123b9b4781782b3b3d7c6ba28ca18e3511803", "191b70fdd6678ef9a00fd63710c70b022d075362", "18532582e506bbcec0b82318e4c65652b913222a", "d7647391c9bd4528b44b47774107e64d090054c6", "9fbe6b06b1006fbb588aca06e9f6cd2a7438e624", "0e05e1655f173b586dc7ac10b3eae6b54abc1de9", "126a7d08d76536fb2c5fb65faeef6ee7ba8cdcf3", "bd97f43f5f077bb7be3cd02b0054f38ccedb531f", "4923b630aa6b0a9c966f34f9debef9c0198b406a", "7535e3995deb84a879dc13857e2bc0796a2f7ce2", "510ec82e78895ed5bb2e8e77c2517b2f95d6ab0c", "eb573174682054790c3dbd7c8b72cd91d2ed3218", "0ea884e470ea285b44c0aef096f3e90efb1d2832", "e0c0e37b447c2b7b417585f9da750b7f1142fa66", "3624ca25f09f3acbcf4d3a4c40b9e45a29c22b94", "6ab5a4d1b79df48f82566545ec40f49899ebaf46", "9b0859544c570276a1ee85e26b1444569ab10015", "aea4128ba18689ff1af27b90c111bbd34013f8d5", "448aac9a3b9c490949602b091391bea16f013818", "4e80d124692d00a88a32559c920579ce80c50a3c", "4949924ea5a5e68e180f71dec743b7b3fe3fb9cf", "2e6e9d117b626e34ce0167f9d69cec6698b0eb05", "a3177f82ea8391d9d733be47e4a0656a7b56e64c", "f2e9616577a0eb866e78e6fd68c67809e4fce11c", "48a71b7fbc317134624eb7019aaf59853d288755", "1edc9eefb555e044f12d8c8cd56e8cc950abf8bb", "956419756558d7a1f2505cde8133bf3021721102", "581baa27b0404940da1d817bb44bcd9085039930", "aaff3d3da7d8b18cc5d9f85d5b1af63ec174fe84", "a751642f7817eba208ad80cb5446e2d482a52e69", "554f10d7b8933e9590551a4f891d034b9b8e8642", "40629398c85c12432979379800c267d2a8c62bf8", "912f107002506ab8c7ae411c8d34c200ba567b02", "079a0a3bf5200994e1f972b1b9197bf2f90e87d4", "14fed18d838bf6b89d98837837ff314e61ab7c60", "befa14324bb71e5d0f30808e54abc970d52f758c", "c5bca6a0ce3a4647c7e074c0ed666dd742c2060d", "0b242d5123f79defd5f775d49d8a7047ad3153bc", "7bdf4b717371ec9d59f8dff39fb7c1e03b8863e0", "48d66e07041b8aa042d7a3d263fddc624bbc1e32", "11a670d3fb02f63207b8c3989143335a2d6f98e0", "1310de9dee71fb8a41f13f6e6c7ba2336a31f104", "56d831143008ec10f8122e5086f5a55aec770ea1", "28475d32e92593b426be8ffdc4e852ed2c63affc", "cc1b7592f29fc3a945a38c742b356167731ef59f", "ad8f0b5dd8d89c0b0805a77dc27a9ce22caf6c59", "4468afcc523b54d909b2b7e6e747c5c0f3f61c89", "2bd49bdfc61788c8ac5621fe7f08a06dd2152fb9", "0e652a99761d2664f28f8931fee5b1d6b78c2a82", "ec9e8d69b67bcb2814b538091fa288b6bdbb990f", "720d7476c5ff17eb0e6ce4ce406561c2c0a69d9b", "ea050801199f98a1c7c1df6769f23f658299a3ae", "9adbbd9dadaf7b15bb585555e7a2e2223e711296", "1b2ad281ef74e366ec58221b13edc6eefdb170f8", "9691055b1fcbe626b5bce9d8d43903094a5c0339", "040ab6a70bef710b61e3b6a183c2d81947ac8f88", "040806bc41c0dd50273921d8d839fda58d20b01e", "c5ddfc020a3d1a4cb5d83c725a683f54a7bf7f1d", "28e1668d7b61ce21bf306009a62b06593f1819e3", "5a15eedcd836337b50a2bfab82ded7a9b939aca5", "49d1afd2d1fc1e11b46cd430d4a5809ac766bee8", "b767abb865fba93f35312127b61ba351a2a91a44", "562f35a662545d839876deeb605ca2c864507a82", "116170983869d56780343823621f2f30f62aa38e", "7a1828e181e3c8bd014c7e5fc1bcc417f122c18c", "6204776d31359d129a582057c2d788a14f8aadeb", "092a9788b63651a48843d658728adcb156036d75", "f6889690bda495bc1f3b2e9f741506aca5ac4809", "be2b9eb4a521d075742e5e3ca821b7f34435e1b2", "a0eafe29aeb6efcd5d89bf96aab7aba6a219ecf4", "080f74ef33634874645a7a55b42a2a89a3cfa713", "5f665729542e1424172ba2200e0cdbe3bdb802df", "8f7ad2f8952740a779c961e1274269c96cf6f960", "c0323bb0aa1782a14f3860158689578bc3b8f5e3", "c143895757c134459cc9575904a2c9049ba2dcd1", "64ca2b37229a5517334a55a4892f6bcfb43fcc76", "9dfe8918f83d1c1a1e059034440eea97679343ab", "772c2c2064ba9201d7249f0ab4ef023919e92493", "582e2d44a44d66974588f04f15badd248b177542", "d39de649381775f6f0f9646abf8ce36785211204", "f739f0df89608d4e1ead37e59070d714396c1bb1", "baf83127cb7d0377256b9cad6f55d2fd55c6f528", "b52ec83f59a59eeefeaa1261e8c67a1372f4acdf", "9c55428269c69db700819cf1790062ce8e306fb6", "954ab03bf13c3f0d3670b283819b96e6dace47e1", "fa8d0cf2c641d3034bd1f534263633b315fc3a6c", "8bd23857afb9de73eaf5b146da7dfbe6bf9fb347", "5adb8e8e5de6b5ae0235afa02e4c9fc74aa35745", "271550eae921bb41b5f71af16981244e916827bb", "5acb1e65fb9c572658c46345b197b614c7a80952", "4dadf6f4d9a180d36e9902bc9b6de3b124cb8c92", "f136e17e3ca8ea4446ca6b737d0b14745bacf9ef", "4b694d5dd573c909e401eff2b8f6dbf7d189a46f", "45eb8ae2c68bc515a1f105e135eea747cfd5bbd0", "759e56b7d706da1b1ff7f31f7a2c166fd3ae598f", "5a4fb4cec2fb4465d4d642a6104cf4f5a83ae80b", "a1402ffb3e9af83124069b71831705e2663204ec", "6124b6151de97f19ef2b1f31e6292c31f3d67bc9", "f888f458b05610f8405dc552d7916645bdaec229", "b6b18e79efd0e789d943b517df7c374e7b965376", "402a5fde740501e6d207d1e810c19a8008a2e2fe", "7ea3b08e6af11989a70e5699501c56dc423f6b69", "392f38dcf4a300f19bec6690fad7a56c9b733149", "4f4a32150b3c88e78eef4c9c8868431fcbe12ae0", "af1c04c3eb4beebfb26552ba565910cf334c8297", "4dfb81596c10cc770d242757e22cb83751ebec43", "259f264edbf7331d187c2ba6654a2d223ccd9baa", "8e15eac468dc6e16104f6682e62920af6e239880", "afb17fe938953087b561b23ef569460a29445610", "5760f16f369867cc0534a53340c13feae838e687", "e14ec7094f4d38203af2604aaa4e1ef26796680b", "d1128415f741c970bbfd149c5ce6317d8abdbf8e", "9e58348c7f51911ad67cc87df132cf9d70da8a5c", "b64f0e546e29c41eb026e33416eeab3c1d9b8c34", "34e23f0aa0032d92114e60efbbc9ad2e649643a0", "e1097d081236759d7727b33bc6a131e742b755a6", "0f573ea21cbf7e1192c009ecb07c5576c8220d41", "0577d999ef271d8db4a434ece159eb0848b11c1e", "26735fdd43c7469ce1f86d719d997519e146687a", "09d078f942ec4ff982714b58963803d30f98dbcc", "d654c2f5b500ca3d561c356ac24121eedbcbc820", "f5dbd6abc0bf17c4e712f8c7aa9d1709c66f19e9", "625cdd2f864d5336b9c90710dec5145b1810eef2", "7f79addf941a90eedd081758554b79eef2878cae", "51891f33c93cb7534c02fe20bcd13046a166e72e", "8fce896e0a75fd5ac76de35b12bcf82f27796c86", "0b28eedcc8ce4c06abc75d9327086ff7c7cf3510", "7a431de47af97ccc2c0cf5880cca5031d79fcf48", "0d1e7e76f69ec37c2965299669dd79285d975cf1", "113a1d0817b15f6330e140bb2ba5ed2620f2d5fb", "006ff99363137e8ae1ad621e6b0160080b77a1ae", "abac66ed5b0c89eed059667c041aedef89dbec9b", "ae42e8a0af2fd26156832df5c718dadf078cf47b", "a8971a8e3e6fc69c6760f18c1160d9cd82db2f57", "ec58c28b9fa38b386875becfd850a84399b2cc78", "eebc4a70509aca8491c2302c8a4241fd82c9007f", "5a18ba401b4a1583bf4d47a0b8f6e69dd9078ab0", "3b7a682353683f7a62d37a7937fdf622c269d3b8", "16013194ab861393df7ca93ebabe0d47491bdd8c", "09e6601c59e52c45fe34ed6054e706ead7edf9e7", "a3677ff1b5ad66db12d81b5175b21ef2ae5f0955", "454875688c220c25b45e877d71138219a1963ed4", "d346b7e0ab15ced0608627c679c25b5eaeff0c63", "49de5abe5f111328fd3fa48c2a0a5c68362eaaa9", "ae853eb6d824e2c3c6b5d90475ef981d3c06cb98", "2d634554ae82d07d8599dc8f2424ae5e9068617a", "89a44748a7efac5856d46f8e2f5727286cda8ab1", "ef320ca75db01fa515f38ba0b390b2925d968853", "c57494a6433980e645416c983bcdc5a4fef73ed0", "92d7223c4c5c44779e1d984baeaf8c64927d4101", "243f795af7ba08fc7abd4a765cfd657b6e111d55", "1a940b13099e8581e708d8edf6864d478c70acab", "7e64d5ccb28bcec57d4210dd707ceccb247aaf93", "c93cf675aa5fd0edd3435b082150ee65bd2457b0", "1b3b69048539a7f4405460141408690325fad133", "0684811cb5df54945921ab762b10fbc6478ec0a0", "f39c44e9e9dad5240af7d4d4020f35da7e7088ff", "0b46dca675879c34c536b65a78c182b7bb6c7755", "e38ce7ad1b5fba83bc91f6961b0f36b196c0868b", "e6c3601146451244f5cf7c41c1190943eaa81955", "45d25029a9dd71f47d2fb0693b9e070a0b1d0f10", "1d0cb1dd4b14e026b7767fa05bb34e5c84cf3d39", "4ff5643ff5fbb791b902addd4b31b3e4eb11b4b3", "b20b682fc822b30bbcc15dc2fa7adc9c8804e190", "122aef0d23489b3d97bd093eadd38c2a73102263", "364c8a768fe821aec4def9a9d7a6b8ef288615d8", "72059220bf0111c4380e6fae93d8a773fee171ff", "1a435b53c61ffe4e90f0484c6e0af4f5a1fd5429", "f8925f543054d2cf411c88437b9dc3398a87c780", "225e9b5edb967b132c97dece8b0a526edff78889", "c91e99c6ab13f64db37375cf0ae6404948e31b7b", "640aafdbd0eedd6001bd9cbe31045aa12223f65a", "47a2252fdb2c5dae498a61dd73bfd48a8c5bb4d0", "0ac39e43deccef7b35f054b9784095027e6126af", "46e05393f9b8169106b7c8e55ef2bd9f1931a362", "4e4acbd9f684b2c171ee02e350dd87f5c472a40a", "58298d7b7f68539e7c657c39d7481ebd59b89f17", "ff101205e1f71f6303073c04a5f23c2ad7cbeeb8", "69c0ee6c2344ee7408b5095b00fe8b162b732325", "015de47baa3862474f534dae527e283681f21c97", "58e95502bc5d3e8a8095ec4d584f9feff9a8cb4e", "490a0623dcde87972701261c5578db2c9ac4c290", "485d5a32baf9290c8d8d7a3520e96e28dd3e8e4e", "09e6906bde8f69ba87b2bec691b4aac5a06078f0", "24b2421d14188e7b12224bd160d12f1fad61fdbe", "5bdfb28477ea9a8a1d4a28cba8675696e709555b", "33daea82ae459324e42aa703b5e9809b5e4bf9af", "875b00be3e95382c930692efb20633ae7994c08e", "02203deb1aba9f54e12c2bf89c3b4096435164ad", "4ea53e76246afae94758c1528002808374b75cfa", "3109e032147962acbb9d0fdce9053ea6d6bdb34d", "36eb5ac678c49f29db681cbfab7576c0619b0df1", "9a1dee546bdf48ab9028900ed034ae9d9da87c35", "f771701d67449b3b48b37cac6820ca61f564cbb7", "c2ed9eaf447cde53780aadd3ba63062dc579506d", "51224ed7519e71346076060092462e3d59ca3ab9", "a018e597608609018f3f11c4b8cda0cb2c6aff1e", "fa657dbe9001c660e4a2a8129972efa6f90b5759", "164a17cf9b22c913068fa9de44807357276aef2e", "57cca04be0637d181204d823535391f8b318d2cb", "4e47663416e0b45fbcfb9d67304f30409a8ddfa9", "5d8eba56d0c1db6873abff7966956bb44e652d71", "536807e72623afe885abc82a6ad075a2e48f8c17", "b885b656f6a5523e8c5d0b6bd6ac5a60ad8057e2", "04c0432ce3732f822464dd180ef09e1cdf407a8f", "0b7e9fb57d91fa44aa5879c1024133c331ee8906", "965dff97d53767a5ed9db0ac0d57d581bcf9fcc1", "6273b3491e94ea4dd1ce42b791d77bdc96ee73a8", "14f964d152337e963e4a4fd3619f6030aa75deb1", "28103f6c09fd64c90a738076b0681400d4d31c9f", "22bc3624a1e6d46f5b7c9208751d4f14fc87e946", "579fabe2a068228d4020050da3d68e9314148db5", "9715aba0688195b2019d510ae3fd8da2e40f6e20", "b2444e837095706998b03fa5fed223411b9d4d55", "9e3db0bd1dfa9e033a2a055a9ac03728cd28e930", "9c9ba660ff8fdf74a81ceaae5ee2e590c7659cf8", "491d42f3df46dd4cb9e2bf3f71f39f5313520d82", "2a31169e3a0f87987537220b743bbf6e79c440e5", "4372ddbf84b8d754ed83229db4ecb3d53ccceb73", "a341505614f5693c8b6c15d9801fea9f8d956804", "b2c0b0a2bbce14201d33687f587a8e51cb800351", "9e8e9e04bfce59907f7c8a73e03f7ebe034120b8", "bbaebcc0a2d65dea32fe1cf2a2aa12c65bb1b3da", "5334e8f42130fb632afafa629a46ab1f0955a86f", "7c25a4b2eaa7bf0bc4e0bd239f05d6c0d4cb3431", "eaaf411826d129c2a31d997dc3f5f708a8186656", "b7f3d16ac463065e99a8cae937592f8134b67bb6", "4441f529631a9278f5893f8302c2448039456fd9", "55bb6235eaec0459183b5442f46501d29b824a9b", "88c5baffa5522ea62ff5d5c41036b92e30d7e3c9", "18df58d5055a01092084b22bf76bef9b1a6d360b", "d1d14401d5c2ffcbba10a867905df47a99445b97", "7faa11c9f104977d49563b52387174b87c3ee8b0", "71dc03d6c837ca9ec1334a63bea24d836de076a0", "d740a9d099a86e234084234af09c060d736f764c", "1afe5d933b58b4dd982a559cc6ec1d17959239de", "7a4b4719554ddc46bc962a55f88a9ae475d42097", "d745cf8c51032996b5fee6b19e1b5321c14797eb", "9caa7f125d3e861450bc3685699fceeaebea04d8", "0bc7d8e269a8c8018a7cb120ff25adf02d45c7ed", "49dcfbcb88139e4432cc0d3cfdd91af30f4d53dc", "35472424eb5662d05928017942c32f4537cb5d5c", "99e149facb869122770b91842fbccaca3d7e764c", "78478816ead2eb2f4b5f8e7d5c06fcadb10f3e46", "255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31", "360bb1bafa00dd1fa90a89766f5ef75061cfde75", "8dccec5593788fd114ef4a4ebd953af80a26c3a9", "3fc24d9d0ea6c52d316b4740a52b4bf28ba29cb5", "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "0f25aa473e808de72c6975fdb1e3e65180a38c05", "b63411ed70ba315b87a716e1809faea48e70a982", "8525a653d2115ca8f2fa061cd81bd268486ae459", "5a41f881700dc4af6e7c0790485345a4cade7307", "37a1937691f69fc4b07fc5229c4d2756d2cf41f1", "df924c5a556f8ad0282982693aff0ff8ccd3d7df", "d6d7b7e882a65663fafe470f0582afb4279879b7", "fc8030f2e34af8a99b25332683ba62ea18abde17", "3d7fce66c1880f4b29171e415cfad57d8b96ced2", "ca1dba1fda076e042794c9242368d33215396037", "3454e7bc68713f03000e6eeaab67d6401ba24531", "4da2a88355cddba0371040ab3f87104797e7a1fa", "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "751960b7e046b2d53315844f6e65b5ca945d7d36", "c038186138b76a625500ff84c9dadb18aae29f1c", "21fc82d819d2a1a70465471be67260a1d6c0982e", "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "ac9feef881ed00a5a5e53bddb88f135a9cffe048", "2aacfcdc5d06c86901852f7b666d17e97822ba23", "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "0c5f74c8e323861d18d6090d8cce05dde22660d0", "47022785c35735a242dbacd4f1f1bb73628493ea", "e4fbd2f5b2068016aba3f3ef6f9bffd695b3a729", "7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab", "ad34d0da2a9f15bd45f8193e10838ae7deb9ead6", "7ed24153b125bcce3fee92785ec8f7af5b011cff", "69e054acbf09a4bebac1c4b14c3f6a1ac6d199b0", "229890f8ccd486ac377eecc689010458035b9a8a", "4e15b6ee0db3ca03348559abc104b734a1e0b482", "00c4dfdbbe7a123790c577c09eba98995c9d5ca6", "ea32e570ddf5661cdb030132e15e68e30ba6b24a", "a176e44cdee30d69732c331de8aba436194a2dd6", "708a55d65568faf8158417ddfb79e728b2b28f86", "eddafbd7ad94ebdf554a2810f1f122e87e0998dd", "5a6dcba2b966b318bc17b24798294d9a510936d0", "212f6bd7163e7175eec7335be8d62249eaaccacc", "1c028833faf11dd565c749741eb97ce811b490de", "984b721cc29b4d66c03b86114554c3bf3403d434", "51e50d6e695e402d95099baee82846748bdfb1e0", "ec19f55500104f68bc62d3c07e7108e1139ca108", "35692e80fa2fc17a1d37a40b3d4ffca28a1bcc7b", "0f431ddce270d277fb5322dfdde1524a4717455f", "53b84c6887bb5c0a02e15b581132eb38f4a69bec", "08d25f86d9ba5d2443bd3852aab01334a3a96dce", "202d1b08ebfdcaf807bcf5ce7a72466b5ec60e5d", "89174737423d87258d3b9d5a660236a0bb66a470", "4b7dc1e99b0b34022aec2bde1a13481f28f62030", "23339e409363a89cb5fe64e18e78a36286724de0", "9cd0d36af668c354b0ff17f2e21cdde2c16b0d4e", "0a5b2e642683ff20b6f0cee16a32a68ba0099908", "3cb1f4c1650f7e55b78abba5a00b56a90b8e0567", "09e66de10f59f2853843aeec6b0d5684fa4290c6", "b5b7f9cfa8f0ddabc850634912cdcd0ae6a79f62", "23752b8fff9e07da1fd7b1b8dd9e2bb692ed2750", "a4bb4474e38140d183241f0c8cee13167a6d2c60", "851ac060db5219f69b6dcc5d96283d597862049a", "51f01948553bfac8d3a2d786ddf793b76c763888", "4ec428bdc1f42d6269fb8d554cc128d28d12fc51", "00e39fad9846084eb435b6cddd675ee11f2dfb90", "4137c8f2adfd3129d02e82a760ea4fcb2011b31d", "42a2b1e7ba92a8b5678ff2bee489a89009a2e913", "189573971c1ef0893d761be1874de2c33a640fc6", "cf40951840bfa9b8721d722e9422c73e3a6fbf59", "141fb4af72c7c33f57687f0233f53effc732c3db", "cdeb16d4d2825da9df9982ed0bcf822d598d75d1", "ba86c9ea9c0453cb8dbbe3ac1d83afd1e2faa9cd", "b64bf3dab761d27a19f2ff4049691dc47369595d", "d168c2bd29fcad2083586430dd76f54da69bc8a6", "08aab46667dbcd875751f1e8ce2daed0df643b12", "e2fc290a245d9f5c545e2e92ee8fcaff4908b97f", "251da2569036cebc2ea109972f412c5b1a9db20f", "7add83ab4ec0e856d88f6e76ea4f585e80def1fa", "e9ce1ab4a1b6204114446cb255c1d7639adc9a80", "9555e76d705da6a3eaccb9731369b5e925cdc834", "a94cae786d515d3450d48267e12ca954aab791c4", "dfbdb4787091f71d27ba6d1e2bbc19b8e160954d", "87879be7d2d65a2b6e257cf10b6f51fe9ab8608e", "071f824aeb7dd87955727f612e4dc5e8536db3b5", "c01a499e52edd49bb5fbe4d0e7309f79a5d9d3fa", "605e2a5a4ca7d765e500300595f5be2fcd05cf52", "b38e915dc7a8531ca6f11a9e0c133a5cafe1d532", "a1d6c15f638b847b7dfbfdc901d1f9126cbdf289", "810f93d0f46a730b04e670da3dad6afa176bd9fd", "4791df90a067b8084315765d9b2dc3896b0b47e5", "39aac8a92315edfdde7f4f2ced20e998a1a3d70e", "8c192cd39f90eb8ff2969f8916ef8967607c5298", "231951807081451293189fbf5ea9269b59724518", "6b6e2c2ff6fcc5837523940c69cf2e9e94bc0503", "7060f6062ba1cbe9502eeaaf13779aa1664224bb", "ef20808eaa02c1149b75fe38b7d5ffaff02dbd6f", "80d109b71001d5184b34d48835a9bc00afdfa9ca", "1d478d088bd07fbd867bf21650846782164c4631", "82752700f496d4575163b2c59a547d24eb916baf", "c6d5d47513d6a7a1b0b92b33efda3f2a866d34ad", "75595c73bdce2e07dee0a4bfd911b36b6945b949", "34e23b934794a5abff251698df09cbac5ad2dd56", "e4834d942338d7a0b9a57fe307784caa8ad4c5cf", "258dda85eadcd2081d1e0131826aceac7f1e2415", "f97e9818a8055668f9db7967b076dd036d25c417", "008dafebbb27eb64a1af8ded8bfe2e7a04c1d703", "7c3ab4a8947a0d1d1014d3e09dcba7485db5ea22", "8949563597276246f9f480d4b38b3b7851fd5495", "d655dd296ef2c346f56b7b9f08fe7270592dcd29", "28934adf9690c6571de2b0c047d20b7cde7e159a", "629b1bdf4d96bb41f7d3fce5c7d5617515303b71", "6eb5f375d67dd690ec3b134de7caecde461e8c72", "e9b97cff4bf7ca4029cbe6b3919f796c6668e1a1", "18078e72bddefffc24a6e882790aca8531773bed", "9677d2f6a994f598c1d631038d49401c5f707ee0", "1b6f3139b1e59b90ab1aaf978359229b75985b49", "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "518f3cb2c9f2481cdce7741c5a821c26378b75e9", "1004d43b8a22b3692fd9018802ace33061fce70b", "5996001b797ab2a0f55d5355cb168f25bfe56bbd", "cccc169185d5a88a9fcdc4ab1477a8500cc9861b", "65c978a97f54cf255f01c6846d6c51b37c61f836", "ccb08ad272cae4705a45c7a642a133b4bbbe49bc", "301486e8dad7a41a1a99fd6fba28ce153fe1e56e", "c0a7ffb06bf23cffc49e67d6359b1fb5db336edc", "79b50cd468fcdba8f3c841c9d28d84ff66fd97fd", "cfb9713dca90b6f975ed392953ad099245d2ef6a", "b3d936c0d82f9b2032949af685a10708c6856d2c", "e3137bb7d73b4f846ad00800b46cc4118d2e0a34", "22954dd92a795d7f381465d1b353bcc41901430d", "dfdb4641fd3c5e559e8a850f7059a2ca646a4bc1", "4eb8376dcf9b251fffa238db8d78003c9a7aed3f", "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "41bde18c16d586865f8f60fbd3773422d6eb5890", "72fd5068ad5a2fe54570e6e758686daa6ca09a77", "2ede3ba3149bdb180387669acd7cc47aea2bfaba", "0878d67f1bca06d3ea8a9354901fba9bf0135cd4", "ff3fa31882bb9c7573a38c7d0883503a464522a6", "256f09fe3163564958381d7f3727b5c27c19144c", "891433740bf6d318782c468638722aebf8bef2f5", "85304f24f5a1800e66de20ad05e20c8c032b7d03", "35ec869dd0637c933d35ab823202c13b9b5d9aad", "7c5dde400571fd357d1093e1829a8bd7917d8fcd", "ee335fb785c332b1ac43565b007461002616f1e0", "5cdc02ed9f456219369fe3115321564c9955b9ae", "49f200f4651a8832d9005ed9b5cec4200f0a411b", "7d621ec871a03a01f5aa65253e9ae6c8aadaf798", "b4b9ec699c873cfbb16647966b230b522bc0113e", "988aa2583c63ada43ca260dd8b5a4a543725a483", "82ab819815c86e85128a2a055a0c0fcd1146b696", "6816cd8f4fcfda892d8f993cc0ae4d9e10db4178", "9844c10635927811e0e5c40f5ba1a074c867635c", "77b11260154e13e33c84599feba4cdc4f781bf71", "327f3d65a380f70bc39fe99c7ad55d76a5f7fff4", "17e7a53456539dac2c9cf8631174c6388f64e24b", "57126589b3fe62c35a36a2646dac3045d095ecf5", "5d1ffb7ba3c53ecc5a90d40380ae235043c16344", "87b93dc5834d945cf6a9e5b53864aee2005d71c9", "81f63e7344cc242416e37d791f7eb83ec2c07681", "d4993a960acf2495654fa7b2b177396b9e705f3a", "3ad6bd5c34b0866019b54f5976d644326069cb3d", "02b852e698dfe85df39c24e7dd39dedf484893dd", "49455079e54d7d06fd2d5617507947a31d4f9198", "7fe7beb207f24056a106b9be31908f807cb625de", "d1f9047dd3a5a086131582b4e5811c07220b2361", "187480101af3fb195993da1e2c17d917df24eb23", "8a61396ab3eae09d5a6b6bd020bb4433dec52473", "2f2e1d2eee8a5a0c389d9dfb11b81964a0754335", "dcd319efcd00d73b21e0830ce9ca085aa05b129e", "6e35585eb37ee8a1de60a10a56a3183af480e214", "2606e6a5759c030e259ebf3f4261b9c04a36a609", "beeadf57a976f23f4fd6fa8a330eac6c81d3e3cd", "b214e3daacc79ebfcfe242c4962c9f8f525a860d", "238136fe55dbebfc6e473f6d5f52448767082c69", "ae76de17551ae635b2d6862d89b254b697250175", "b80757994fc0f784b88e60b37c055302274e2e07", "171042ba12818238e3c0994ff08d71f8c28d4134", "c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae", "26861e41e5b44774a2801e1cd76fd56126bbe257", "f28bbee52ccd41da02f12cb2c93301056d51278a", "53c8f841cbf2c8f09c6ece9d7f164504fe39409b", "43e11904ca961006be79f650025b5d8fbac9913f", "0ae80aa149764e91544bbe45b80bb50434e7bda9", "723b87aca073b7b82970a4580f64ba8c6c64691b", "30193451e552286645baa00db7dcd05780d9e1da", "661bf7aa2de455f966f114d900f92a43f973ae49", "126bdedeb55f2ca1a40e65c87dcb18bd038148b2", "16815ef660ef9e4091a81044d430591348df72ee", "2a2fd2538e19652721bc664f92056fbd08c604fd", "7f3b7acee7851f933402f2a2cf4deb157e996851", "4576b59a44f75120f6a2d17a4e9c52e894297661", "295e9b2ddb3c9c7d029a99d5b877bf3824949f1b", "f0b0dc397cf31df4fda45c0187190c42de5adf40", "af24595c0c8f1b317b6fe2f2b49417cc40094b5c", "7f05df12dff3defee495507abd4870a0a30c3590", "ca839a67ab0e1434e5107eb4db30e63c6607e75b", "fd0a462934359b52051ae95b970c9e01f4f32539", "b7b421be7c1dcbb8d41edb11180ba6ec87511976", "a99361200552e723fc9ccc82a6f98be222e51c12", "3918dcfddf2da218a615dd8f008f6fce436e06f7", "811f42b16e917a53cbcc605112781d8ab76bd31b", "3efea06ad6398f9db07acf34479c81a99479e80b", "47de7339f70075f6ac1a77d3dba23dbe3e435b73", "46c52f92e10fd2f2dddda162ad7995a1658e1245", "9b93dc45befc69c38852f135400f7e2c87e4d804", "15638d4611867b8f105fb541dbb61669fde6ab2a", "464bdf369bd0caa6386dc759a7e7e6671baa1575", "0a8ab703839ae585c2f27099616c40974cbeeda2", "cab97d4dc67919f965cc884d80e4d6b743a256eb", "c24c9a9ca6edf52e533951b2700ec23234423c61", "73866bdb723841da93b6ad93afe3d72817e2b377", "c7ea9611446817f7b668882061ab11c7e998296c", "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "17c62bff70eb0919864f111df4930062aded729a", "822c6e34bdedcfbc92589bef72c46569b13a3dc4", "527cc8cd2af06a9ac2e5cded806bab5c3faad9cf", "a7097289a40e740378f5973bee7e068151ef7597", "a8068de468ae9e1d6ebf021433467a449703acae", "e35515f699b60472ac8f50d1da84fab3c55417d6", "3b52d234ce08932f285cfedb96c4457adea0f865", "62035628c85e13c10db4dfe2acedc5741874fc2e", "aeb4cb00f0ab02b5a082daebac959d29e254dd8b", "ff3d4f2406ca2d78b20ed94a33983bca3583d520", "8d441303e7f82e3333c216b32d36aa7ae1c6781b", "b8b0f0ca35cb02334aaa3192559fb35f0c90f8fa", "cf01707bafd2850af6a46933a3029bc2a9aeecbf", "3f54660f555c4ef356375ec8c589891478d59513", "0994916f67fd15687dd5d7e414becb1cd77129ac", "46c28ad00f7af265f6926e5384f4ade28361e5de", "57c929b6f30eec954dc5f17a52fbce290d8e3ca9", "e018c7f468a9b61cd6e7dcbc40b332a8a25808ae", "4273a9d1605a69ac66440352b92ebeb230fd34f6", "1cd584f519d9cd730aeef1b1d87f7e2e82b4de59", "26679e1885b1ce186e80551befdf82e57b3f7455", "785ff3f2c027e56c266ea37c1d190121d496b7bc", "9ba8dadb888433f6e4b47ea2b7ec7b0c9f8eeb0c", "f43687ad1aea44b841c7700a1a30d08806d2add2", "ddbb69b0f60960a29c3f861010ec55a22ab86d61", "e8aa9aac39456a422bd7a1a87f943af5856e9ad2", "90ce227ec08053ea6acf9f9f9f53d8b7169574f2", "bccef9817e38e8e9b450edc062f3938f1e25281c", "bae1d7574b94eec513a2c009af6ffac3b76dfed1", "6e7b2afb4daf1fe50a62faf75018ff81c24ee526", "29c9af31eb125b696ce34d0a8c64382f7e97bf23", "281be1be2f0ecce173e3678a7e87419f0815e016", "e8867f819f39c1838bba7d446934258035d4101c", "2a7e2cda27807d24b845f5b5080fb1296c302bfe", "5f107c92dd1c3f294b53627a5de1c7c46d996994", "98d7508f449fe44769c3f343778663779497ccbd", "a1b7b23bd8f2b2ef37a9113e6b8499f0069aac85", "3a1c3307f57ef09577ac0dc8cd8b090a4fe8091f", "87c6ba55b0f817de4504e39dbb201842ae102c9f", "3adae788b345c778d93d51cb9a1a5c38e718b1a6", "92a3d5ab3eb540a11eddf1b836c1db28640b2746", "a00bcd5db27ab270a11e83d3286f0c18a847d674", "f20fe5c662fc90fb0032cdfe39812e83456ca46a", "544c06584c95bfdcafbd62e04fb796e575981476", "d7b534178ef47def4aea4850782b13ef21bf8e96", "fbfb0de017d57c5f282050dadb77797d97785ba5", "bfecffd8fc8c309154b51e8d762fdc03918a2db0", "2ce5dbb12461e78ab923f04e6b8d3b90f2e639e7", "8a12edaf81fd38f81057cf9577c822eb09ff6fc1", "5ff6aa027b2772b3cfb45bdde22ef808ba59acf5", "6e968f74fd6b4b3b172c787f298b3d4746ec5cc9", "c04497a82e1e574abea4a7212406b8e09e72bf6e", "6f0b8920d39ac44eea320a4df2763137a71d851c", "2b2aee745c608c67f931ef064f1d672c0f549262", "425833b5fe892b00dcbeb6e3975008e9a73a5a72", "c4c4e5ff454584ae6a68d25b36bfc860e9a893a0", "8286c8eb0df7c9f1b2000b67066331f4e541f5bd", "0c91808994a250d7be332400a534a9291ca3b60e", "362ec3121d1160824e9b19761d0d24d98c412574", "c3f5ff55663cfd85841553e0159bf4bc41f899a6", "4928d4a458355bbf2a9e8a7567125dd06e459cf8", "50e194109b46ce50f62ee0c769b5f05668f291a8", "37566caacf16f024489f727f7c6ede1e060871ce", "37313658b217202298127dd704c8c1b5c15473ef", "dbf98990383ee38413f55c831f89095a1b009420", "fc47b7b700915f078d4f1b42e5d5eafef1891db3", "1266d931f5ce080d25039ce15be319f39c178a47", "6624e30564908c233bfa45c3503ec8aff741515e", "9dd3f85b2418ca26fb94558de57fdc001615ed24", "d92bed36a381ca9013d74e93932519a7da8e8d43", "74a3618f3268d8d55a27e53dba2f76034dddaacf", "4998afe9e6ac446c14e866e5c1db625c08b64e8a", "1af5f188abbfc38ac2f5985f636e0f53a4cdea10", "379ac913e976db227ff00c7e085fc97f5c8fb247", "16d03786b5d44a29e66f6e0472b8e7ac42e127f0", "4ee8186424af4beb4f2dcc174429d5d52353b566", "9fd298aca910a6c95fc2a125e45de670c471acd6", "04926009741f2a62fc746fd01b1f8cc338f24336", "178199b97983556926c9ac7f06e2d12ec6223803", "225f09fd8103626c486ea9bfcd3770858dcf1906", "0d45baf91f2ec75ff82f6e443ad29e565e6e7e3b", "cd8912d1839f762d48400ffedd789f75106b1c16", "71077c80735a56187ae8308fd90dbeb7a54ebb3f", "763ab0f572ebd0e98bbce533450a0831ab27d39b", "36d59ba291ae64c7cb7829ce605702716e9f1aee", "75013851e8264bde68983289e0c4d0ae92533ad3", "8b36c4675732249963b3e9294a0f52f26c6dd931", "0ac7488dfbab703fad126dbe8e5e1ed0e9f6629f", "a092fc3ebecc9f4a6762104f0a796a7e86890881", "0df476fa7a1f872b2b5802deca3efe803a6c8e5a", "f02a016bfbab5ef6357f34f8a550a5e569dace6b", "f4afc9ebafce950b81081e25efc2d8f5fb1f17e7", "4a3684ee0c64d22386a44c0ddfbf8d609cd2de48", "8860be8cd9a53cb27eebfbf4d3e0b56b08a446c9", "50a48fcd6176b72aea7a61233d3c7fb12a279ba4", "5e108b7707444e0cda8058982b468d5c424b2482", "6388fb33b274d74a158aa3ed658a2d5d9e6553d2", "aebbc844dad9455a31c28d7c006c603cddeb4a13", "309011919f45062ceefcd2275ded5171762baa59", "f8f374e6ae12511589ddb8d31d775a62c558cfea", "265f894d1f7e216a581be05b6aad149d81ed6709", "5dc60d250e648f96a799db986a336ad344577405", "15a99b13627b5f1de5ee0a08c13b954808a34746", "090f24044c4ea2bb7f55cd90f39bb476dde131e8", "de741378150a3a841756973d262541018d0acbcd", "df372ccb1b3220f877e0db8c21c603e57897bfce", "91d83d20cc22bde6b4b06afc87f76a1b0140d4e2", "fa307dac56600e8fe8a0ee03830ed72b014208e3", "bd95446d4b1423b9f9c9243d8b5dddfbd045a30d", "457126a6ae703998ba62f283699f94fe5874398d", "609ab932f6cb0c404f5c14a56217462bc5906a8e", "42954bb6babed6fc16646c6f34083b720593cce9", "75976b1d3fae34f975374357eb9632ebb6c3a5f0", "cafffe047be8dbdeaf9b34016ed14a70424be940", "38bbca5f94d4494494860c5fe8ca8862dcf9676e", "35e855b0c1af4cc7bf62a8eb459c949776fbe7ee", "f4717cc1de51c8b3a7c5b68fd98ae16672bc6181", "aa273b84633fd5355374abdc6df76da18d0ec4da", "8421ff5686cba2522b6c65df2f544dd064177901", "28e34b9238817b5682608673335985841c3d750f", "39a49d7d84305d334b5fb00c25b812bffdd772a6", "52ef80e422dcd4650fac136820554033e54cf366", "df31d416fdd0ca8737a821995fa5b27c3f22a9b2", "6360a384c2628e185543b5b18b9c8aa9babd86a3", "9974a806bb69ed26fb8cf49ebdd53d7756336eec", "10cedf764fbcae9f79713f701b489c06deb47b9c", "8a55c385c8cf76cadaa28c7ab1fde9dc28577b08", "596b2ad91ba21884960c67fad21bc2ac62800200", "042f2399d65d05728364aacdd9932dea2f836b71", "e4878a4dd9f456060fc50e6c43e5a4141eaa968b", "0d7cd7256784d29296065cce07e432142fd4cad2", "abb2073788183294ecede3765f698a8e7ed6de87", "55eaece6db38d90704081ddcef06339cc5af1016", "4e23628370d3ca9695c8eb1eee488a9eea4d5eec", "09556420a7441bb5259fd6dc68af340f6ac15ade", "5ec17a2bc931e31774c4fc783af2b478220a9ad5", "51b7a57a2dbc2df0b0353cfcb4331c8f9c621e56", "c3e710845dc74ab99f8bb57a4941be89942f202d", "dbeed6c04b36e68a60a964f6bdb0459c8f97e719", "5feac72b2e2a88617ad959fb10b5c367a568d4f0", "d9b87198df457f45f74566f6cf1d6fb178b0dc9e", "10177800e4d1dfc0c88460b52e746b336bd393db", "affab4332ae8318c6c470f6639f0360392baa469", "061fe2ffc3c5abc63d5f22306a6944b3a8bf8d7d", "23a68a8b181a2d29172a5b2fe61c72cecdc15638", "650aaa330f088c2a0ba6bc6cb4a1ea7a61bd2173", "23f6a42731ef46f06f0a11308197745edcb58f6c", "5e82282dd5db84772f01cdfb3739ed786b9f2238", "00091da5ae37d0e63854ceb038eb5e7472cb4b03", "958b761f1ebacbc38d4edc4b1bd5b42204fd91a1", "23711ffb488d4579e729caa006bb6b4d8abafda9", "921c33d3036818d4e2d5f879c667eaa669729adb", "661e7e21f3db8c8faa6e4325f6c71377da7f188f", "4eb8dd9bb051fa052e9a2c206bc7bdfeb9645ae6", "7ed5392ad9582662f84b79683678272572225434", "0750abc650a197b30246159b03d06c1e8cbc5e53", "c55f3b1ab8f4de230a55a4702aeefeb6bc0bb68c", "162065fb9de1928f7abd593ee9a1b7d41b5a4310", "5d5bf98df710b9061f0c2e42a0718300a74b6492", "2981465359a1acb7d1a2881a63c520b5b99aa6a2", "e81f0966f04b8755541aedb5de05e40c9e5c95da", "b6dc63cdd08e19cf6ec0aac08a0f82a17c8c370a", "461fbe656e43379a520fff36e7ebd15e433c3d9c", "6bc4ddacc5446553d742b4b9475820ca289fcca4", "9943c11420390ff2cdc2319d63eb70ff1f803f10", "075bfb99ce2dbaa2005500dff90f893b7caa68c2", "134aad8153ab78345b2581efac2fe175a3084154", "1ca9da67e2c427e59a5a54c9b31157e6b8b4843e", "91bfea1584199561ff0e4788722457502c61e762", "91fe10027edf7d0fc26988b5ba53ab9658ff534d", "859456ec4a9d3e02716122bdc80870d5439075a4", "1d35a0955d2c406d7399d54117af58e2f434fa59", "2f3c60ebd92240099e52c1cb6d33832b0b8979d1", "eed98eb53b34820df736203d62076eff81de926e", "50f2f66590c6aac099844d1e1323bd9905b8bf39", "29908288392a9326d7a2996c6cd6b3e6cb137265", "199b14fecde214c0e7cb8ec4126dcdf9962bc650", "174dee2c320e39dc8486b12e3ff5d2284b4a5744", "47c5a9fdc2adb340c5cc61ea97c23a2036f2c086", "004053203529d86d7c753ed5bc54f00f4888acec", "04ce2c3d075e3761700340ed61d6c1a3725fd146", "9a52f7d3d4952cabfba7d88da980371b8c3e2e37", "03093884b0cfb33281cdec2c079b6ae873230054", "72d879305cb0456bb1a0e6161111b2bdee0f4dc0", "1f6e627efb1ac2b31f2b18dce8359ffdc352b3f2", "28dfa207e5390e40e6ee94cdb150fcba3f7903cc", "bc2f68dbdd23f3bc7187169e5e3b66793f5a89a3", "9c64863d567da32962eeec15201dee142777f8ef", "399bf5401a9fbb4945aacc82de2df404dcd88559", "38df535ea9fffafc17c001a424b8aa70cfa2be1d", "dddc2aa21f281148cb22b2cec5635f76ef4e545b", "84302b4e2e70cbace4d7ebc1cbb4efd744dfb645", "23ee28a7b5939382a7d29361ca9ae89c424e3678", "a9c0d70ee98e77916f6cc6714e599040cca4d7ae", "b528b8ec5c7b73ff8cb2962bcc4b10d94fd5dc42", "9b846efdc4e164a281930c3095f06e032d6543ec", "22500fc63c16eb7413afb5a7dd8f40578855fd57", "df11e87694ca73bb0fdee1499193c1b96cf7b5b8", "4aa9a1dd4c0b5d5ebaabdacd2b4665e1f10faf96", "e1cee76d2f9120e603b8c7fc586e6c346cf6476f", "83b723f1f22a04c0771017a03eb936378f3e3ebf", "04d63b8686a0cd3f7cb45d6cf0729d54615cf10a", "a03e7a88cde61e87830c4e55c241c96d890d33ba", "d22f46d367295a0897a179032ae88f6f31b68228", "250fac885611cf7513d94aa7d8ca329abc216ca1", "d6cc417984d633e1e313da4eb7b83fcfb9b8fd66", "750100f1a429d4fb3ec9639317296b6538a2a238", "101c0e66ad693e357bd42f1de310fde3390e8595", "6577a11fc1e022670a0867ca2622b72ef225616e", "de595159fa9f8acbf99e4c39b935cf11cd64fde1", "872d13345d75c299246d41bfea4bbd2aa7e6f30f", "7cf001f745f3020dfc75cc34352d5bc71e552093", "03b4b84260648ce5083fc0168f25dc754768832a", "2fe0058754c9f6759a0354b2b107fafd34fe5d90", "2903b8f45b3fafc26c8416eae0ba264f5b76d8ef", "3824a648507000b7f319b9bf2ec0b7d07bcdfee4", "09ec2d5cba5b15894b1fea71489c5204a338fd95", "334355b4c82ad477a2f44ba61dd04c68048e78d3", "8b7e5be7faa1c78065baa21179c258697fcaa730", "98868ce769fc28d1f3b72379c9f04fecba3edaab", "08ab862450b42595be34510f8da8defcfaec3d2e", "9abf83e8133d84788a3ade059a6350d40647916a", "6af8dce0063901dc35fa0086ab49d84418b32bf8", "5ff3a03d000fe14990b04bbfc634fc2eda0d6eb5", "f3a9651405695d03bb76e141a7999f2addc4225d", "e81705e6100759b75eb71839ea61abc257b0b6a9", "2ab0ad4b8e439d54d69c40df158c06ef569deb27", "9a7843f19b7e1e089db9ba875fbea9773d739f71", "0769f782105118883d59f1e6b5629ed99a6ff7b0", "d98c7dd22a7927b377e523a3a36408729a523f42", "a6f63bcd346750602fa6c1d3c28cb1aafb4f9a30", "09f2af091f6bf5dfe25700c5a8c82f220fac5631", "e131ff6eb5eabebc6b7b27832eb144ecd9599644", "8558fc2016fc9b3db3248b2e75b81d9aa9cfc390", "982ba55288088899dc5ee69750f58415ca748ec2", "8f98e1e041e7d3e27397c268e85e815065329d2d", "f73b5cb120e55284c3bddc6ae2f1937109ff2994", "12ce65bafd9fd535d9c3f9a725d144d898ec2d79", "4839567c67252f9ddb44f7cffc61d7b929b7dec0", "6090ebb9464986e458f8c37d2e08b042c88bf651", "d41cd5f2ffe8934e0c7ab34fe1b814c6c0fe50e4", "12af8628e590b3da288d7f5ef0ac85676b8a7fa1", "1e6b3ae784416252d98d8d3433ecacddfc0839fc", "81782b19656cd70fccc7cccab57db3967db8ad67", "90614cea8c2ab2bff0343231a26d6d0c9315d6c7", "d24a7a7ceb2ddce42ac64d1d07ccebc2a55ed053", "4e4b41b8d9f27e262e4a853082e690c32c490954", "3852eab6b56324a1f2bd47b059200c9c0d507905", "d5e5dc9bb068841ce2b0923d8250489426dc7ffe", "a1dd8e6b829aab38cbca72a1cc2ae20a088d7a3d", "1f1d553be51339208c572f927354033e86a5be36", "e8f0f014c38290d17882542e576e237da87f0620", "707d6fcbcd64e489b660476c7d87e5b2dffc9c10", "11f2e65a0cd4e27505f1306d39b5717b5c5c92a5", "31b0308a886572a23f3f3576d0f7bb963a8cc6fd", "782bbbba012328e80c08ce47de6ed337b53973f1", "3e43c8841696eb6aaf93f85bfa40bb0cb6f7b4a5", "44682707bf06626bb1f0d9b181fb5c45cb446d30", "0cfaee84c8611599a74db98393c6a959d6e10592", "4ac13704507a89a45bc8e8a41943bb98dc1e04a8", "97a0aba4e9a95db17c3d4367f59aad1f02e04b55", "7ae0264e62ccf358cd3e87f83e5a0f49b511429c", "e0eb1d66f244456063409264ed795d9893565011", "155205b8e288fd49bf203135871d66de879c8c04", "1e8711d2fc4b05eac0699c82f4698154c2b057d3", "5cfc5da57acdca92946fc323096608ce0646f00f", "a90e6751ae32cb2983891ef2216293311cd6a8e9", "5585f55bbfae39b032a24521ce65f905afd69a3e", "532200db4f95055a47e16c2e2095edf063f42d6f", "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "e49372992c31412f55579397e615610748b6e6c9", "68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8", "85934ee572897ab2da4f294bced88a6531c2fdcc", "d2b2b56dd8c1daa61152595caf759a62596a85c9", "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "f16d6152e23b032f59eb794fac2d272daa859a79", "05db8e3a342f8f239203c24d496e809a65ca7f73", "20c6c93cef3d0417b750a9c56a9587acb93500a4", "3bd64ef7dad9e68419af9fed4e595383e18909f0", "5e3eacfae3009616456e7c038597eaa50ad049ca", "feb5b8bf315a6b6222f62dd9533b1e0f891a27bd", "f16591cc791eb3ed55246e17115c7ebb3349187b", "96a34b94412cf04fbeb01b243e6cb6e83b5bc116", "61bab86023de164bca3e35fc22944a7262970e1d", "3d33f16ffb3f56e63b8b5c51147b1a07840d734a", "449c804ddffeae6d81a1be1f8021cd540dcb0a71", "10cc976f8bdc0ce269a1239cf7cc6f3a5df7cc8a", "ec1223c8fc16751dd577d3418f61d44a139c7dc3", "3d3fdeb8792859543d791e34af4005a80f348eed", "3148c4ca284d6521769dfde54e3e7693228bda06", "6025f0761024006e0ea5782a7cea29ed69231fbf", "892c911ca68f5b4bad59cde7eeb6c738ec6c4586", "4032597bf9727adc3f4e3191ec17b87d9ce0980b", "85476331edc9a9e3393f736f14aa80ad95f3c105", "727067392502bb44cadcd55680156e9517a3fd65", "bdab45dfbd4e21b707dbf2503147d1eb99d183da", "32a6f6aa50ce2a631bf4de7432f830b29b6b05f2", "704fe3839742e8d022fdc110f3a502e42a0ef89e", "6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4", "8e1a5cb0e9a1100034ad313f9bf6766065cd2b67", "70ce6a55460d825e6be142939ceb83e976ed9f61", "e9bbe558c73de60e40ce2bd8c7cb7a47dacfe594", "a3b87364aa68b371ca9831d333b934402fbc3713", "1bdef21f093c41df2682a07f05f3548717c7a3d1", "8b607928c7af70259a9f8af9e08e28e6037411c8", "5801690199c1917fa58c35c3dead177c0b8f9f2d", "b34487edb8d47c0101d514b8cb63148d80deee54", "e3b20cf421812dc96477a2074d0bb1ee83e6c98b", "a7dab944b42c87c52df2abe016158eafb110b2af", "24e64e9fd79f138cf4d90f65da06eacf031ec635", "52417b0406886154f0b4e2343ad6ac18c0484ec4", "bdb1fca40fd98a966b627ba9b0f4a0ac801dffdc", "6dfa82f00ec6faee1db319c1e306ae779cfc1c36", "aac19081782914dc359c1a6b9cbc626478e0a957", "a416513aaf97060287bf3e64ccdc1ccf85106c07", "602ff4fd0f5bd10c9fb971ecd2317e542f070883", "710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4", "0e14ff81568e3c5aedf6764f6be1ece325f67c02", "02c04a8b7c1232646ebc882caf3793327a510ba6", "89c45ace90d377502dc84825e5039290927ae9e2", "2148e8484c8f27d853872c59f483f0d281fc664c", "65874dd7220664762b5b25f47460b623a7eb0175", "a1f0188029436169002d75af8f23f7ebdad969dd", "548f94f82bf28efa299a64c2527aad36d76b81af", "038b8b2b629a8ba1e2ad6f9319e16b68e83e518a", "c0825a62bbf6a906ec812d0f668478f001c24279", "8d226c762f60a43c92d66db65952eedf19777ab2", "febdce13fdc9d3fd9381602916fbbc395d4ad2ab", "532f91d59d96d28379e09043592903d143218f4b", "51d97f4e4385a3da78bf9277a5426216198698c3", "527249f0b1432cec3e2cadc14cf285008d7f55c7", "9466232ccee3ea887330d90243d8e164426971a0", "2727b5eb800a89570c4c54b2b3bc726be29ed170", "cd74d606e76ecddee75279679d9770cdc0b49861", "ce93f83d69ee6ee981124ed1f20102335caf7b09", "2484a34597a40d846c084e827fda299fd0927008", "d102f18d319d9545588075010f5d10b1ff77f967", "b5fffbc0e590ce67d485f1602c8158befcef9fa8", "8b9934758378a78604ce13914e23c6994caa3427", "69a78c5edc0af189df07b1f5eae24105604a78e6", "363dfeb29263c6399365d86fcee97ed18f507768", "fa8c73899c22b461cc062a10b6df20fccb18800c", "53d0227c40b354cc438c035951da801c9dcd87b7", "97c1f68fb7162af326cd0f1bc546908218ec5da6", "1c09c81b63c84d1001ce7896f45a4ee50e2f8f49", "2e67d919815a073d1dbc6db3153697578257a28d", "79eb37c207ae3a7ea51871fabfc307485846cdb5", "35168a83fa1020c2f7b6501d19e07127d923fc8a", "f128e7eeb1c4c9aaf5f610b538d480b6ad23a1dd", "a35d85c2efd1fb090267980ebb3fd7b6381e3b74", "2b0d16e74abf3c512fc70def14163b119f1988f2", "b7a3ff5153b340e639dd14eb6933e307199afe08", "33be61144db9b7d2878f3ccb1251ee75b4f5ecfe", "305dccd4004560572af2e849a36faf5626990517", "83e71455ee2070617ea35c02f03b7451187985d1", "e5f4583dab0c7bcd9a416771b65721895f110134", "e4ae6597929a5da38ffaf230015aa76587984036", "e78ac6617fee67cfb981423cb6d42526b51bb9db", "537a00082b413b40fbdd02b5584791614f5071d2", "ffc06713436afc4e08bf4afa401ac52db674c5da", "b878518814fee31ce8cb61040301e7a921892156", "a55970013b984f344dfbbbba677d89dce0ba5f81", "afb3a84b7daa92d6e1894f5fefe9b38904976d7d", "7bdac8773dffc917e678db342ccbefdae238fb57", "a1b89c488a723cc496cf931d97e2538ecf9b2991", "795662b9ae10bdb20ddf40ee124ec3c06ae6b2af", "f5af3c28b290dc797c499283e2d0662570f9ed02", "0d9b83d33d7d01b38094dff4145b22348e926c7b", "289c51fdc3fdd57f303d0e270758bdb8da7eca4f", "855cf31504da69daf03766b1357030dd07e485f7", "a9c8fa7e890878fe209f28d358cf5eca5e958fdb", "2129304075990cd2f3317ea67a2acf52b7d7a3e2", "47af13d56bf6882b2c173447ef5ae8adaa18058f", "3fbe9d51ce96e3d8abcbad37611f02d97c1986e9", "c2d7bc19196dd4a7ed1a08d60081d16e0c14f463", "e417e88c13e0f3d5bbd02e6682823b0514f4bc78", "0ce0d440126c43700765e5d12fc95eb962680f4e", "edc5c359ed0fc24a3e85628f57fde59cd9b26dd4", "c4ac98154efdd73fd3ec9954dfb5ed32b95f7ca5", "abf659847660763c94b44c0baaf9198046a11845", "6be0ab66c31023762e26d309a4a9d0096f72a7f0", "8da421994430cab9f586b84e6573b6b705a6b63d", "2c14b1dc3ee73715691c90b139b0b881e4e6bc7d", "c43d8a3d36973e3b830684e80a035bbb6856bcf7", "3323a905a3960a663a9884540e8c3586cf362ba9", "d7361c34e180392e62552c463cf8abad9813719b", "97b3185d948c45a00a190ce0a26abd23e77c9edf", "783b14ab10a95f3dc7a74073886313a256f05de7", "4bfc563ef789273bdb5a0ad5db547c8a0789f4e1", "baf9657d66845e47413510e8ab53fdb73ebba27f", "34c0ddfaf9209af15152399208c31e94e80d60a5", "45eb2362a8e59ba264eb68bbb3a285e5132fdea4", "04a88ab3ee6314997a51f8ce60da6111226e0f37", "a12a08027ae33ebf39523759353372445e20bc7a", "6b5d7223239f02a091db8b9d3624b59994402419", "87283935f0eec5ddc0e5ad3062568df8eb89e7e0", "94456106e1d894ca3f41fa5a0a5fecffffa3f7a4", "8e7c647d8e8ba726b03f7e7c5cc395f86b9de9be", "1ed1a49534ad8dd00f81939449f6389cfbc25321", "a2cc3193ed56ef4cedaaf4402c844df28edb5639", "77351eaeb65e374a4d1e54acc28fea426670e364", "ca2cd1781eb06c42f7b9a0f4955a05416ccddfd9", "16e8d439fbcf8311efea7b0baeb1a5340272b396", "71969ee27916d545c63fe852946dd6dcc015d1a8", "97a9aaf99400de88504ef40cee3057f7c718261b", "46d728356b5090bc28461b30cb21a08c3a690195", "878dce67a005a4d70f14a04230556b785e77532f", "49e2c1bae80e6b75233348102dc44671ee52b548", "6c8b770ceda34be2ef294e8e2271f94e8a58672e", "fbd17af24e86fe487e28f99ba3e402dd6cfcd16a", "604d7533bdcfb06f4ae217a2cd9fd2e1467192f8", "30ea6c4991ceabc8d197ccff3e45fb0a00a3f6c5", "5a05e438b60e728b862af1a4022131549b7390a3", "52e0c03dd661d032865dfedd91ca49542ccfc2a3", "477ca04e9c6b9fd8326af7e11c6d60b6ada2f42a", "8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a", "e483482e19b022a1cd7081dc2757bb8a85774ed7", "942bb63e78d9edfe3b8d0a4bf9a3511c736a6930", "6f9c01a9b861882c6676227942005cef13f3cb29", "55af4918d6b20d13c58c482d7e31e17db53c6ab5", "1d39c1e39d712d2449de59beae76521f4e04b2bd", "c0c311c985fcfb309066d0d475ca862b2a19363e", "1d2af64416882b2ae8fe4de51b85fdd7d561cfee", "b07546f26a99b61c5045e313bc024b0fe7de590a", "448efcae3b97aa7c01b15c6bc913d4fbb275f644", "4da2c15f320ee2f719785c44ca2427fef04a0948", "10ffdfdbc0aafb89d94528f359425de0c7a81986", "ddef0c93cd9f604e5905b81dc56818a477f171e2", "510d5f8e610ae962ef35501e9c5f310d83dc7b70", "83272537fc29345d32f68a8ab37e4170df10d3bb", "899fdcc44212ffacd91b80bb9ca460b807096283", "f254cbfe9710de5e41589f8b7898112b06872ed2", "5fc662287842e5cb2d23b5fa917354e957c573bf", "7118f2607052e9a8647c1ac60c0a00cb5bc79b31", "22d7f08af8851b89240a17afbdac24e9d9dc33eb", "3a307b7e2e742dd71b6d1ca7fde7454f9ebd2811", "0cc3e74bf371635ed1fe94ef99d82b4ccc9703ad", "a6c49f98df934c45cfd948e7f68544b00fbbfa02"] \ No newline at end of file +["b6b1b0632eb9d4ab1427278f5e5c46f97753c73d", "b6c293f0420f7e945b5916ae44269fb53e139275", "1055f2e7443e1839f027286a895f3a0ff5b7e46d", "06ce9ba74589ca179296318a76e882fe610b729b", "257eb6d5ca49eb4ea90658a8668d1853d9c38af7", "26f6c01a60ae0e494e45f5bc187be76996cb79c4", "07085ab2c726111df1d864ac05b9a8174f409a41", "13dbcb7f8f66c0053a971087ed80b0f1ccf7b513", "9035dc898c10b203589699063908073b2f1d2e2a", "021506ae5dffbf49b2e5d9892ebb229916d14ebd", "9d379a866d08d930425b3cce5d883f355f5ff41d", "cc79452d131af9cc3514781c57488aeb9dc23b6f", "6f3f551e26a89e34de89c6d6f68acd7aa3e11db8", "6b8623ed0f268050e6b78a23542884038637639d", "6698ce798f89d42d0c2f9d254ae6f667bd140ba3", "2e147e6f3f233e2ad9e0b5433f726d25b577f54d", "672757f13520d4d0d4584704d33c38852e3c5a46", "4b1cdb96a39cf23139a21915ba9e3e0692de8563", "41965f0c83b2ec081f76b043a7d3c48a9b26f0cc", "26ac607a101492bc86fd81a141311066cfe9e2b5", "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "3d3629628cd14b0482fb172f1e39dc33e285342e", "d3686b774b5e642f9527f16df5d94e32718bc543", "e60886ed1bc130a07c82a08586663899b651aa90", "9e308d6902d15c98d264f9e592fb358f25244cdf", "ffb9b279574d6158b18ab14276fa3867089777d3", "9a244513f3a0f9421fe7a05e41d77fc53084b939", "a05a770bb2b7778e195a578006482926dfc1af82", "200d4ddf487bfccabee9660efbd1779afca990cf", "12ce51fe04c5bb6fdf93a831a3271edc656f858c", "dd278c1541535775d2a6687bccf49f15c0cd799b", "b62628ac06bbac998a3ab825324a41a11bc3a988", "25d6413f029a462bce78e8295ce8ac165c2b5439", "3574bd487622fc1d6d88cda4ba31d87f3d1a5bd6", "19fcb95815e4c225b250f7deed9be3e90963933d", "4d80e500f65598358771e4857c8fe29be2354e60", "b7e701df99735efe86a51b1e0740ad06aabdd67a", "3f957142ef66f2921e7c8c7eadc8e548dccc1327", "263c5b952cb85c3820fe903c48f7a76abcd7e778", "1234323164b4512c5ffca6b6c53fdc8c2e7fa8bf", "e2373a719f882842f4ec220d6fcb184a13a3e565", "994cf026a1ee3e4b30dbd23f8bb554352bb00b02", "7bf39b925e35b286786eea3a447163cf67afd530", "d6829332d0596659272451920d9ff778b0b400af", "08635266c783a2b7158a8c46bde42655d036c0f1", "a46b950e1aa97ab3033d8a21fabb1952fb7eb5ce", "db6d00f9237cce392c08b422662b48baa2ed1b80", "62b08ce91aeb8714d97f8597efe2d8e734b88eaa", "d594c9e6ea0e95974489e3f599bd439081eb7748", "cca2bee0973e347efd7b3d145b6d23286c801bd1", "d4a44459849ec8fcd51f9b5eee196e197d15e005", "ccdea57234d38c7831f1e9231efcb6352c801c55", "b9be594ce13c272304609f0deeafb2b301748820", "f20ed84abcb1223f351a576ef10dfda9f277326b", "da9a2d550689e55b7f2871b72dedecbb1c1fe84e", "5c13b8175e7a78cbee3422de5530581c23cf3070", "30c30d661ad009b5edaf6dc887d4e394a24e148f", "288d19731902bac26b413898aa56d060f23fbb38", "4053e3423fb70ad9140ca89351df49675197196a", "4103ccc3472cfb38bfbf76e7d2d0469e7b055441", "6ed31ae1142ebccb3c332eb7c2586010b135e993", "39d22694f676fc324e52d831892076fa6e4456d8", "4689e75bca5a6eb1e3e1d6bcbd78d67ee39bb378", "73bf4ea29daead8e602aab10ded00d49a0621534", "e20e06ea1aa6e94721638ffc8e3bdcc0ef574b64", "e41288da544ceaf97e0221ff6c25d389b8ed4dcd", "11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8", "597fd0ba70a6ff2f414b76822a204d6a46334b2c", "ea98b858a79daaa33bbcfc1ca12d28e9660f9da5", "43cc5ade2a9a30baf3b7aaefa9efc98a76e0de9a", "92a26d999fd3fcbea6470e060190df30d198f6e2", "4a1a5316e85528f4ff7a5f76699dfa8c70f6cc5c", "21f2f1693fdb6478a8f3306f377f1ce7df6e036e", "3cad02aa184d4d429b140918711d2fee5ee1ac7f", "08307351e8f2a40d7ff9bbee8deaa54dc1bad055", "97470d68743f338070f32fbb75b7c8a3cb4c045d", "6eabb24b358dea9c66ad28d2efc2c9c469e115c4", "7c622df16f06d9f1c1af7262e91c54906e1b7e0e", "6f1735c4222cb5d73ef70506aaae56e2ed496593", "9fb3f13fa1085dbf0c89158640979dad70047121", "9863dd1e2a3d3b4910a91176ac0f2fee5eb3b5e1", "0fce433d7d631bba0e13ea7a8a8e2a3bfe9b5be4", "de6ba16ee8ad07e2f02d685b1e98b8be5045cb1b", "1ab4fdcd431286a2fe9538cb9a9e3c67016fa98a", "b510d66bc70772f89924863a8555d815aacf3bee", "1c49fbebedb3dbadac5c120407c9f355c8ccd2fe", "f688a3eb3a8fb068ed916cfdd9fc71ee2ec453f3", "4bd098ebd4802963dfc6dcb82e17011ab63c061c", "9ca0626366e136dac6bfd628cec158e26ed959c7", "7020df589ef9bf220d5289b0092a07b191534972", "12c713166c46ac87f452e0ae383d04fb44fe4eb2", "03f6333d90852313207a7b6482ef6a2c86f30103", "7ab7befcd319d55d26c1e4b7b9560da5763906f3", "2fa4096260ae64fa704f9ff8d7a8d1552f903f43", "7ba4b47d3bc516194a71e6be6d59dfa91c80c09b", "772d15efe06d741b4ab7c5524c5384406731a3f7", "26779e1152bcb0072eda2abf4262c72fcfbcda2e", "146879bd04a1ab25dce3484bc587e5f2ff1b1d91", "4a227881f5763d2bda2e545eac346389b2b2017a", "54d448f7238b424d7504543e4cb81a0e94ecc6e6", "3000921934fa84cba1a38a602f403460531e0cc5", "d83db03f8eae6dba91ce044c640c6b35ccf541f3", "e4754afaa15b1b53e70743880484b8d0736990ff", "f75f798d428831fcfa786b1884934032a397fcb5", "c5ea084531212284ce3f1ca86a6209f0001de9d1", "72a5c063a1de137dcd2276c26869661f6ff5f2ab", "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "25b367dd1cc584a89e8fd7b34a7d98d212a9f168", "52d73ed5bdd93dd02e6ef42e6f5e1963a04729bb", "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "02601d184d79742c7cd0c0ed80e846d95def052e", "7241f97a425d5249cbba39ff9a8fdae160e9e1e6", "79ab59b0fafda4c3f369dbb7fae61c620dabcd10", "cce036465ee448980f2c3234da3a4ddd90428ccf", "04c606e8e33cccc69060e42db53738ec6a0f1d03", "086024b3cc6900e52eea16f75c0984e29b1ed5be", "9e3d697dfd0364314aac51522ce3778bc542b17a", "f0e2dc3a32a422c3025ab3894316ca57a250c8b1", "409c81bf488c23a1c8d54dabf7360dd676d5317a", "7189d5584416ef2a39d6ab16929dfecdddc10081", "f8b5ff1f9e5e07ae5ad3138236a079f7fb3ef95e", "dc7203d64a985b86f2f44bf064220801ef279382", "ff27963c5bce8f46ca4adc5bee209f35dfd69633", "2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f", "b930c1c078817c1f4d714fc02586c2de569ce385", "6a74b6a90627a9b3b980ef3b76475c74f361c0ca", "565428129e99dbfd6f3cba5f09f086a35a1cf4ec", "cee01863f5fe2fedf6138a0e98503ff7cabb0804", "e871849efe8eb5b1b28a92569a02476831791e2a", "864be4c09001478ec5a916401430f5099c022e06", "188ee38f451cb2134bd11e4265cbfe26ac0ab717", "8f3ea4eedb0cee67298b4e04d2cbbff20726cef8", "7bee43956fd72d86ce7d1f8f6667aefd2de75f98", "0e1403f2182609fb64ed72913f7294fea7d02bd6", "9fb1d7cbf1baf5f347d159410d22912fcee1fdb1", "37b6d6577541ed991435eaf899a2f82fdd72c790", "8f196d7785d5d3ff7a27fab7421e914dedaac9e9", "8e69534ae2f00025226c3a46dc6efb4faa3d396a", "2824df698947e769a0ade70a885cf002c85eaef9", "8735b8a6920c120cb29c9f206686f502d256ee57", "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "af7670424323aa8e2eb443047b227d3ee58b5839", "04218d1f13ab9569c6f13a33d329fd548f883dd4", "42fc28aa114a47a8c532c0550e38484bec44d96b", "f23cdb221627cab6d0804e58cefc0d55a7d9a97f", "7ded2365594d85f2e54445ef86bdc52376effbb6", "7c4b406159e0bd41cf97a1094ae6b44937de477a", "7ec4b0dc697d87cbda4deb8dcdad24294b21b4e8", "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "576a15c6a2f83b0b22f692809e4d62ccc114a55e", "4a07aee89d068d65302d55c82277f3a1c6c33bef", "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "ffaa62f221b6851e2180d29ea645187fc24077ec", "96e030c3841352604108c1a703d972917a7df159", "2e091b311ac48c18aaedbb5117e94213f1dbb529", "3db446e1d9de7a712933dcc86f57e83e2ee00b19", "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "dabd413deabad57bef8d426f7016db0b25ccbeb7", "c5c351b094cb1edfc28f90bcdad599ee5411f4f0", "ca50d76d065b22bf40d8144729f89e36e732e046", "9ea73660fccc4da51c7bc6eb6eedabcce7b5cead", "35fd6c9f2e651259ee565475f88faeb523511d4e", "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "dda0fc7d5749737d4248b7c969bce9bb80c33dde", "1439585bd001630d997712fd4c05cfe2d5faf84f", "e74e2004d8b7357c35d727cb4c92ca97142759f0", "54be36792f90365609dd800d49acdadade5f142a", "184750382fe9b722e78d22a543e852a6290b3f70", "41e6dfe1a87f49c8539f725daa44256c19f31004", "bc8221265579032dde52f46b5adca39072755841", "0d7ddcf97b1341d8d4bbc4718f4ca3094e994a1f", "013909077ad843eb6df7a3e8e290cfd5575999d2", "3f0549b74ede40707e36fbd67f4a32a38569ad9c", "929bc3e0dbf97a4546b95d459951b0c0056852f7", "7ed1b3a0c270c6cac133e91858e3848d843e1ec2", "c51152debb1678a069d86d1e72e7b070216caaa0", "8f39d9f4063e321703798309ee9dac1059d3d1e2", "f4aabc7d1dd76dff357d65084ac04afd73051ca8", "370b5757a5379b15e30d619e4d3fb9e8e13f3256", "3e064080a6c3fe28bcf87eb297c7f2843e5556df", "c0a9f8c2b1ad60c9d42252c80ff8cea4a3a25c2c", "5b693cb3bedaa2f1e84161a4261df9b3f8e77353", "3adb3d43bd1e12659c7bc31f8da51adac4187abb", "9408e93f12fa536854a71e2875030a7b2f67341f", "2b6d4e638d75bb8ff98185675c4c759e317d5d78", "dc0c7d66d46919fe5f9fb2b5dde8bf3ab7972d1d", "6670a64f6898accdb8cfc7aae50dee0af369c6a2", "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "422fc05b3ef72e96c87b9aa4190efa7c7fb8c170", "7182bb21af9ed0ac8f34f2ab305fca563301f433", "a18ce91d629a6e2ad1a7c8dc526be973a9862361", "37c8514df89337f34421dc27b86d0eb45b660a5e", "44b315edcadf527af7eb7ac2921341a03fd73970", "25afa24d85e693351bad795ee1c3e801d10c4a15", "482b389c3d8598028644179f2396c26007355625", "d2f2b10a8f29165d815e652f8d44955a12d057e6", "d8f72f50cbe6e0fa4025bc990b7e8a52cc6bbad9", "5c4c5094f383544aacff6bfefce7f358ceb894bf", "5f068009502bf749ec4805f149310e0cfd03038c", "de7daa206f1dc3d5f83c5342fc08e3e92ddfa126", "c542fa8c4cfaff6a8d8efa9678e42e1b9ead8aa9", "cfc9056155bf32648448b588a752f694b4e8249c", "e9809c0c6bf33cfe232a63b0a13f9b1263c58cb8", "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "a5f10a8c7a64c3339f7cbad9b518ba29f5f74b7b", "37910df366ca9989d8ce322f895794bc779820d5", "090ff8f992dc71a1125636c1adffc0634155b450", "240c11a9699b95e69ea6cfa15f5c8de6dba4f09e", "c7745f941532b7d6fa70db09e81eb1167f70f8a7", "83bad2dd911128071c72ed4e27e75921b56a2d1f", "61e65cb1391c11ccc4476a19853d616153e522bd", "24ec4cd704d07865ce31fe539d00cd2597b5dfc9", "5327241cdbfcfa39abadb4753c7f3706bc24f94a", "b60119a85720ac9c85a69f6eea3694cecfa77b6d", "20a00347829b79afa6fffb83265872304ed9256c", "061d88c882e34e9204695f2d4e0bd418cca4a618", "83ed55f6a5d95a4fd8c92ca912cf216e92ec303d", "76a6fa5db2e117b5ad926503d24863deb26f949f", "b62ce008de40a54edd08e82af59f88704ced60dd", "3fb0a5517d6e855b7b7574394ff781194b72c7b4", "3fd7c26c6aec1f2c522cced79959906c9ef64867", "1ac4faa0b772d6b608bc7cd3a5a6b530518e2c29", "154b9a1a4dd5a01dfb4914d4aa392ad9cf43b98d", "cb6b9cc908a2862a17a1b4560ead1a49989275bc", "57d33c0f8d6998d665a7ec6672a56cf8e7729c14", "16f5966e345d729e748d7ec2df7fc8e094c8d852", "5484ad04ac0a256b51fd1a3eae48483480862ab1", "4188bd3ef976ea0dec24a2512b44d7673fd4ad26", "59436fd423866ccbd9841933f7a9ef7b5f17f52b", "044d9a8c61383312cdafbcc44b9d00d650b21c70", "5c1fcee7c31fb2dd54a35670b63cdb2af5726ae6", "89496d72878ff71ad13d8957210f2f5bf30d637e", "0bc6c3ee31d35eecf505bc8eabb98d553b351ba2", "10bbdbf86b3dd9a60f9be01401e0585250c97477", "213775a1d8268bb6b056f00f1dc81205e84a5fdb", "25899b46ded451547a913567db876c75c305b1a6", "7db00be42ded44f87f23661c49913f9d64107983", "08a6cbbb6d3aba08fc6a1c238278243222eaa5a8", "bd2dcca948801b68091f9ff9278049d7e4d87756", "ad7a3b600c67a604d51cfdc721069af31469c397", "a820941eaf03077d68536732a4d5f28d94b5864a", "99b8a24aacaa53fa3f8a7e48734037c7b16f1c40", "e7ccc669084d42c25f429dc61bac9f481100c2a1", "d86992d3ce3c2b89ddaab57244d91dcce610412e", "59a35b63cf845ebf0ba31c290423e24eb822d245", "29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d", "07319e9be3a107902335eba29b3c6bcde86b5045", "1ba384ef80ab9295162833ed2658aac119fe9cc3", "5a8d5d8c08d9ab3cfe6fa15526cdad284755b66c", "21853e5624b6ac24c19659c336aa46eb4e491ee9", "fcc76b1762dbeb49cbfa30ca66bd405e015ca331", "5f593354fec6d6ab770a3e000684b9280cef5bbc", "1888bf50fd140767352158c0ad5748b501563833", "895414849dd5e953feb6801b8d3aa7fa005b1f8b", "a8c53c57cd0f4757ca07c9f1d0870cedadbd2f7b", "d1443d18d40c323d5ad01277675ee00c8decdb99", "2179afa1cb4bd6d6ff0ca8df580ae511f59d99a3", "d3adaebed00fe94d9dc8d9a80d63dd15c69bb8c1", "b93ccd76e56a60461bd60604c918c33111288e80", "63d865c66faaba68018defee0daf201db8ca79ed", "f95d9759566e766ded8902a65775b5f6bdccb3f5", "63cf5fc2ee05eb9c6613043f585dba48c5561192", "02cfef55937103669a40710404ab5f0afd4498e8", "5860cf0f24f2ec3f8cbc39292976eed52ba2eafd", "20532b1f80b509f2332b6cfc0126c0f80f438f10", "4fcc8e5d78c166b40e5b6ee439edc9092811c159", "548233d67f859491e50c5c343d7d77a7531d4221", "1f5e9952cd225dc4677146ae0f9901f070d19cb7", "bcbebb62125751b9957fb5ab765702a445fb8146", "5b6f0a508c1f4097dd8dced751df46230450b01a", "34d8287c2c84b30ef056c0a07f13404ca5ec9471", "aff92784567095ee526a705e21be4f42226bbaab", "dac3fcb9fd51a22ea27cb911b95051387c5885ba", "8c3e775292d170e5c3533c03c0f8e8e404eaa86c", "38fb6eada1e62e0c25c45023107ca8ab3426c162", "0e22687fe92f765df06495df1462fc632ea240e4", "792f04e729f1a3efa42d40bb9c57cbcb5e6d880c", "419279b5d21234737b10715fd785eeb51b317767", "df51bca592fb045c50a143a6659ea847ee9e34b1", "cc44f1d99b17a049a8186ec04c6a1ecf1906c3c8", "1096445f1185265c56edb1be3bde6ac4e8d91386", "0af9141cdb644ea4eea659ec664d49cd083b9dc7", "ec54daa878d9c58f16bbe3b929dc0c4999bc8ee7", "4e332c2f05872b56f716b72edc25b73145db4b79", "471befc1b5167fcfbf5280aa7f908eff0489c72b", "5ffa98b79702814770fdbe9de150b4420974f399", "cad2bd940e7580490da9cc739e597d029e166504", "f40f8ef004fa18cd79d0a6a49f74b058dcfe49e5", "2c279af53e29eec915cb8643d6d8923504db5635", "9cb3508b6abd62f741b60ad2d79510aeae81175f", "2a92bda6dbd5cce5894f7d370d798c07fa8783f4", "6e6f516ed1ce0089d4f6d113797d711d5997802b", "aa4047d5f2e9e55b97d03aa7e8fb2a3025598a4b", "942dd0a7f975a3400bd6bf37e3a06bb50e70297c", "3b410ae97e4564bc19d6c37bc44ada2dcd608552", "8160b3b5f07deaa104769a2abb7017e9c031f1c1", "0a811063cfd674275f91006d28cb8620c781e817", "43ab8edb5987b64eea3d0b49a3474d8627040aae", "f306c0d24a5eb338b7a577a17d8b35d78716d880", "781d3550f54f3b4bfbd99ca9957aba6d6dec990e", "aa11aa50c5a3cee44d7fb39b1e2732c5699f565f", "389c916c3aadf8688ffe88378ce6f4ce89401bd1", "7b63b4c4be97f3f86f910468b9646226dc04db3e", "feb6e267923868bff6e2108603d00fdfd65251ca", "0e64a202a673ebb9265d600d97c2ccff8acf64c9", "f45a7226b21ee9b438772e4ff69f5b8b679420b5", "a5fd72b3bdda02c1d706167e98d088ffbdfefae4", "c3780c0fd7f6ee82339a974045eebbc9e5b61c75", "0e9ba9ececdcc22275e87d5810822559a7ddf040", "10413ae7de5b234f5bdc5560a168fa2c2964a1c4", "a74251efa970b92925b89eeef50a5e37d9281ad0", "8ba474aa327cd078c2b85f0c1ab752043253016a", "62da5876fbc5b6abe467891fc71b68173e6ad061", "185e88da3d3c0aa104ba14a6bb4f5254aff8e8eb", "0a36fbfbc93a64012e52465eca013e3fbc24a4dd", "fe98261abdca6becefa420c8df8690d704ac7fe9", "4f76b9eb6d27971f65c6a1c6cbef7e8b670688c6", "8dc0635733c8e588e9b7a5ffde0028f2bfde19bd", "3bfc89350284e317f0b08732b3becc733cdc2d53", "38558bd53b5bab485ca4abca35a0401c0c387883", "889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7", "4a06ae9d41b384d6b1954b42a63385310b5d43fc", "e7127ec62360cddb7176cefc826939648db924a8", "ac86220efba082f5e9d55938ba7059dbdce87ca8", "8eabd39cf43596e56f377aa26f985ef20f0aeb4e", "72c32e48a82b2ef2da26c78b4b8c8b4ec888d062", "605f6817018a572797095b83bec7fae7195b2abc", "e0152a4e30f4ce73fd7a3d56f9d796da6dad4bdc", "3f4b8fe5edfac918c1c74317242b2d91346d5fb6", "045011929b571b34e3df439ce67d0764c2578ecf", "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "aeae58c5e326c162fa5b0019e84f867c58dd20a2", "ec286f61f2c530b5628596c0e82ae5b07e7396c2", "5ba51674897afa2a1bc0646fddada7510bd9c0ce", "a6d7cf29f333ea3d2aeac67cde39a73898e270b7", "32f7e436b29e4b6aab5dbeb9425569022aa17afc", "cde7901c0945683d0c677b1bb415786e4f6081e6", "8846a0f238deab5e5a9ff0ad2209899bcb2c1032", "f355e54ca94a2d8bbc598e06e414a876eb62ef99", "5160569ca88171d5fa257582d161e9063c8f898d", "d3b3c82d73fac683aa23533d26240ec92d14352b", "321c8ba38db118d8b02c0ba209be709e6792a2c7", "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "791d46aa9cdd40bc9d82067a2e9b71785c62838b", "2046689ab60fddc0473326c99b33b7f72724b2b6", "ee142d2ad892ac23f27220ee25e0b06656b19861", "5293df3b1543e79f88eea70b8766dc34e1f406e0", "083c9f447032897e7888fec7f1e1abb13bfb283e", "f61fa90e4e60aab8366831d4a8a7bed980b76073", "766728bac030b169fcbc2fbafe24c6e22a58ef3c", "b6c0397fc911e12519655ec1eb1074574ae6f290", "3ed5fc6e27dea4c99b68dd1df3dae127a6bda0d6", "d0ad7324fab174609f26c617869fa328960617e2", "3d75cdc87f193beae8b8526100e6099dd38173bc", "426b6d514dc4fe551b9db85d1139ec9502fd264c", "7462d7e2d9305f936ee262af7634dba93967d77d", "830e5b1043227fe189b3f93619ef4c58868758a7", "3b1f8bf9e41b29d38968144ae9b2ae13a9bde731", "c65d7b7c111b1e6303b460ebd484c81537ecae80", "90ae02da16b750a9fd43f8a38440f848309c2fe0", "87f723a8cd56e4e7fdccb8f26eb75a258835ec18", "e379e73e11868abb1728c3acdc77e2c51673eb0d", "f21a8e372fa12d87fec77d3297afe1e566e229a7", "7cf95b9923e741eed2c7988d7321fa1044415d57", "49570b41bd9574bd9c600e24b269d945c645b7bd", "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "d2b2dbe9b13c6885ac67a96bb42e4286f454ad06", "3e21d98b202d01cd1430f11a686c8ced2d1c448e", "23f78d48bb75df464e1118836d23ee1b2474854e", "19483e421717025e0a51501a85db48186d0a2e2a", "ff03823829265f4ff269bfc5517625e4e3584dc7", "6215c5713adeacbb33b9d1c4c739f2b0b50dd17f", "0f5379a3c80037be64570b6481399ea6e2db41a9", "eacc648388f577c95792f6090eba43ef5a85a47c", "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "ec71f5e5cfeeaa41bc884937aeea3043d7a0da02", "38192a0f9261d9727b119e294a65f2e25f72d7e6", "9048732c8591a92a1f4f589b520a733f07578f80", "bd12395d9cac597e9579f9ea5be06bd687de3989", "61183c50509f7ad284ae52ef4768aced2af3d260", "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "54bac87151febb2e9eecf237d6498f8ed8ac3b1e", "169927e68301d881da6585dd09e1bc9a88adf147", "9cb916aa3672a8071d2d77931ed221f4f98138f2", "a32fc1edb2d23d117f47d86f79ac88c9dc3a45b1", "697afaded9d96fece5e5693c80085a3f099ddc64", "8f5ce25e6e1047e1bf5b782d045e1dac29ca747e", "8b03a6ad5ca06f35f65e37df0c6da32c6dd59586", "4e841ea04bc2aa13415b6f7e4b88511f9613a189", "4e6d820c59c4a8f921e60cf78dc657d2a4ff6cac", "5ad12fbaf3af81765a3201d138c0cec4eb68d542", "cd54941cc46656005d31b1b24e3a002a7acd5b3f", "45deb9d034e5c99de0e36e4c2a9a4f4277d1497f", "916318d7fb755b13de566a8a21625d47541d0d3d", "fd4c46bfd3bb00ed93b0bb5b28ef0336f59f0c15", "8495e36177e556f9f9de729952d1b6aabb4f2e2b", "b4e0e4e8b92067ac4d31961832ce30543cffff0a", "2306b2a8fba28539306052764a77a0d0f5d1236a", "d119734d8b140aa22efa571fb22d29ac92452666", "e3f2e09894e49b2d0134cebd07d1f2fcbb22d97e", "61c76ac08113e3f732e65a3593471c3e94ddda7b", "b13a882e6168afc4058fe14cc075c7e41434f43e", "bc9003ad368cb79d8a8ac2ad025718da5ea36bc4", "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "501096cca4d0b3d1ef407844642e39cd2ff86b37", "ad57f26968b7a33324d83f0f44b773eedc7283a3", "7f65992a8e140167fb5fbb9bb2a95a035546fb76", "7bbd9c7fc4191022f48bd1bbd354fa957835943f", "91e507d2d8375bf474f6ffa87788aa3e742333ce", "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "28a95825874fd194fc4411515aeaee4120ec57be", "bf86c65a4a3d81ca422600fdbc5d31eb56e098b9", "2feea7d50b312a6c07673fda325838139b2e7820", "a5bf83f99f71e3840f651fbeef9f334d8e75fd75", "ebac4bc69488d0339b0f1be55d79d3b2520e082a", "1c4b225cfad24c0d83fd92064e47287372c99cb6", "d5f12d8f91c6604711a958764aa942f443229c83", "34b14ae503f4555d0254fc78ceb01be09ec439e3", "1188a35475cda119158744c838c45f827429cdfe", "6e9de9c3af3258dd18142e9bef2977b7ce153bd5", "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "16bd796687ca17ac7ca28d28d856b324186628ba", "5bccc4ab12c570ae1b6e5ed89c4867d958961a7d", "1b60b8e70859d5c85ac90510b370b501c5728620", "f683533c105ab71a2ce73e18b7e13907a923f739", "1d532ab4315b48af710c0dcd0ccc2a8bb2984cb4", "6ad55e57d248cdc9292644c64771573ff39b602e", "56a4834972eaafa94d4037483704638a4314e516", "d3b751f284a1b92c7715ee6a3204f17f485516aa", "6e95e9fdc73d75017dbe32a13a868d0942d5c9c3", "07e6d293498c4f9048ee5a67ad32ca42d6af9b51", "44787df6079918c6c4bf3dc871e2cad5a62c0e58", "ac11eb3a87358f623bb0dbb81de141c00e1112e1", "ade4f9273d1e360fa47d188536fdf7d3f965a72a", "496ffc24230b23af2d00b3adf4907de112eb422f", "768c332650a44dee02f3d1d2be1debfa90a3946c", "86c053c162c08bc3fe093cc10398b9e64367a100", "b87b0fa1ac0aad0ca563844daecaeecb2df8debf", "9b5b2fd938a9337475cb90a143cf7568f8f63709", "0e69c4f189db8a5e2a65031035c88bee2fc04221", "67e78de58956aac781f3311a6499f665e810421d", "f0075b258d5ad3a332a59a5aca5852606b80c420", "52f60abde42428d4aa8c5824a749398a1aa73be8", "a4a56ba73a3412ec2934bc85c7e3c555612077d9", "90ad0daa279c3e30b360f9fe9371293d68f4cebf", "a7ef068d80056451e26fab2415c140cc4ad212a0", "5e9e72a4e856e38e4ae4f7625db7415a6d843912", "2788ffd2bee39a8610a132ab0533aad083a0a701", "978051446fe6899a538153aef3ece0d5ce590278", "dbd5e9691cab2c515b50dda3d0832bea6eef79f2", "422c21a3ebf43fe0ddd62d052bde00c004339ce4", "bc955487a0b8d2fae3f2f44320389a12ae28f0f5", "28312c3a47c1be3a67365700744d3d6665b86f22", "055cd8173536031e189628c879a2acad6cf2a5d0", "122b1f9d6ff910f4162ff13f827a4cc03e5c33b5", "4346f73ecbaf688cccc7d694d92a9a2c512c6786", "09ef369754fccb530e658b8331c405867c0d45a6", "3802c97f925cb03bac91d9db13d8b777dfd29dcc", "4afa204c986c5c6ea7923902ee858afdf14d7758", "04a20f9513a93f034e3aac7a415b537c27c05695", "5c820e47981d21c9dddde8d2f8020146e600368f", "8fbe68810cbc53521395829620060cf9558231cc", "82a73fb987d94d57e2004345137a212f3de9ab5b", "4d1d5dbfccb2219c547afa347148cfc372c4d998", "01bd864085b7ba7c9c85c593bd893a5cbb13b136", "354388347ef59192c04bc36a3693748d7377a334", "d968dcc086683ed597ad06313710e6717a157eda", "86383365b3912be9ba0983401fa1b1d359679db3", "3f5f07c9ea779626af24134c83dd1020a4d10e48", "ddd9b3067ad132b07a0b95fbcfa43c5a38ed7a48", "1745243fd21b29895ad9f21c4084dd24b10c39e2", "df7e3f5cb90230f6bed1473c4984f336b56615c8", "acb9bb0e2046d63bee5289cbfac254dd1d7aa6f9", "f201baf618574108bcee50e9a8b65f5174d832ee", "94f55752c68351ced0a50c7953bae9dd1b9044e9", "27c59f06bc62ea85e828228c1bb359e06f9232d8", "2ad0f376c0014e0c3000e7bb92df78d1d20d815a", "debbf2f0f9ae128e40e962bef5096adacd1cb264", "42f66e1639b5b80318f68dc31ebc404b1153432c", "13e6fe2049d0089da6fc1ccf6175da6945a47fb5", "b069e125442995787119db3bfa71dff5d965f3aa", "23d7833d63ed3e416bbb237ea39f751bc9bfb703", "909ba012227159e7a2c0e9b01db7a95dd07fa85b", "ded2eaddaf214e63aae6be34f4f319df0a10c13e", "2a4f3536cd21fb7193662faef2612384f429c6a7", "92b9c19da2c144257617e39bc8ace7293e710914", "bb34bcf28021a658ce89d65d229df76d4dc620c6", "a481de6e9a7303784a7492ede7a7f055be7bc831", "f38afa91e8d0dd939ff48e679d28f2ac640b4437", "780c7e3226635c948aa2b2414833dabab3e6c0ea", "08c6191e9a354090708c4939f5e9c96905ac52f3", "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "70a69569ba61f3585cd90c70ca5832e838fa1584", "ceeb67bf53ffab1395c36f1141b516f893bada27", "356da8ca86142f1ff275f02e05a8e056ed1f5a68", "5f71adb3df33e1dac408e1c211043aa95e75988c", "4e082299ae5b9808956dbd52c94e36da5820aa04", "71b07c537a9e188b850192131bfe31ef206a39a0", "c89064dae544838fb4e71f64f140d886fe0bb2ad", "4e667fdb69511446673fab3c5993d913a928ec70", "89d967cb778cc99ff9b3f3e26257b0636f522af1", "b7d7e0d985e1a421fa4b6ed2a432d6375d003d94", "8376287a7f2401a36295aad094fd85e966df5dc4", "91f5ee7eb4d67d5b40ac8e8ff8145d7eabe35fb6", "67f4eabd4f0771e2e50a0ec031db64cd9083e3f8", "3cc3e01ac1369a0d1aa88fedda61d3c99a98b890", "294266f46011bd5ecb4f0e0189e089eb9723ca2d", "ebc2a3e8a510c625353637e8e8f07bd34410228f", "1c628956dd149ce177aa420cdf89c51e37ab8517", "3e8740ae6a065c5d85c901672c7a0a34d20739a3", "9ac365dc78c13c2fa94858b056427de2093407ab", "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "ce243a52ee123128c387aaf8fa12fa8cfe2dcb96", "9e65402d1e5efae1aba9461a9463b114a8bc6b49", "86104c6156661bca20224c2f3b37133ccb4b1f74", "275cc2085f90866d74d6531489cfee67a8f48cc5", "8a3f109222afbc83810cfa952fe68e33da6acd91", "1946fe5894daf21255af3c1235eb15a38a349a07", "0d5d0d4553e7049fe485a87013710c838adfb8b0", "980f57473495b1a2d6bf2506a01bf0a5fb136ca5", "2485c98aa44131d1a2f7d1355b1e372f2bb148ad", "d39eddd5305cfbdf9a143fbe3c4274ef08895e57", "084bd02d171e36458f108f07265386f22b34a1ae", "ef65fabfaa6b3c617f3f6506eb484ab8977c9db2", "6c653fcc80c83c87f710588bec039da3c7bfd219", "df80fed59ffdf751a20af317f265848fe6bfb9c9", "149c21e5f1c52429fb1585d30b50bc850a16edcd", "aad38eb0800c535ec87eabc2f3904e04cb16ac3f", "26aea7a383546ce3195aa5884ec5dca69203e313", "b033a4a543cfbd6a1032ed2f0b109a4327124d2f", "74368040bdd21380365963baab6a83da6c5cff81", "b8d361d45f6fe4d8dc6129d205b0ae8c8e615939", "ae922364835393d0fd471c365b2eb025f28cf701", "ea927bb1f3b0564dab8b94df94134aaf405671f9", "df1b3b429b97b34df4ee8a11c921ced410cd5372", "a05d26ea50e7bf9637c4a101a1bdd5a231da9e03", "c08a826913a25792d0221cc419daf8f47ebbdf9a", "d838d9b1e3515956e8583e9fba987dd3515e9e95", "1a3c4a57b4ee90365fb714a24672c97083fc44d5", "1ae321e1e6a24565b0bbb86c159a142b2d56e27a", "f6f2df3c4dd5fdee439eab3ea7f9ff30d70e05cd", "d79c4436d7260ded9f11d659606724244470ac24", "01fecf4553132a5252b6bf6d264f68568a8dbf6e", "12cb66f687e0f0a79c995c0aa08ff855ef1c4ed0", "70f0f0ad8fcf45538bbb49dd339e16ba3a0033e0", "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "00eafcf56c556983edd5f0dec76561e6e23aded0", "567e31a823669fe728d6e428a069991e508a2730", "8b9b20234fa0bf4184c9acf29d5bed0714aa16db", "71406b7358812400d0626e8d62e7eb38cea99bbe", "320d6e79fa184dcf24c30232ab762d29f7e3d9c6", "5c3428d5c47e613fb394f2ffbd9668aa82e9e035", "0068fb32720da464072ac9aaeba539c6db746986", "65b9c71a4e5886e3ec8ff1f26038c3c08bd96dcb", "75a050e55ef1f6753da6e2e26d30e074992d2b28", "716c649a14d8f3908e0fb5535f80d70c57c4239a", "64667791c1237d73e01103f0ea636b5fc7deba13", "ce3af5ccd47704252b2ec6bf4588c08b4435d32b", "9c2739256937fbe66c5b5ce2a23d2d47b48aa4aa", "076f3c0b688f5ccc4ab610233ea1d5005b69e204", "690ef94605f63fd0094beff056521b117430ee6c", "81a8b2e55bcea9d9b26e67fcbb5a30ca8a8defc3", "152a7ca3a93d41c78ccb50687d8277e9a9247e26", "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "2bb6ab1cb16edea5c71174f8e277d001c0084b58", "b8a53daa97fb917a89c351c47f0b197573e20023", "9e837df910b7795db3f5eecb305aeae1f2711f0f", "0c359d0d674599203c53f55dde73d511de21e580", "253f7ed4100c702dbee05a005a5f1745fb08bf52", "526524aef873f9be406b936585f4849e0d34f3a1", "9a9702372e243c5330d6e61d345d9e6f14e0148f", "91303efc57f2241b6aaee7ae86c4be60a7bad7f8", "eaa0433abe4601aefe865a82119b4491e3618a61", "e5517a6e5094c159f4982c3b88174b8ae10c268a", "38ddeb190590b5758eb03924917a5874dbbd3731", "f308e00f4fa0f0a995a82e9b825ebcfa3ba0d9f1", "c57ad1ff22d92f71019d638300bd06eb8637b86a", "71139c4a7fab64aa84a7ba704d567627819bff13", "26979d90b947bc3ba458a3aa0b58a8b85d2ad52b", "7238e8f34c662af74b81de80fa6c01838a06b349", "6953d1ec1908fdabdb33b16a6acbc211cc31d6fb", "0e8f529458db2fbede1274758f4651580ef5fda4", "d8c18a88d1a347816b03acf7456fdd16ed54003e", "658eb1fd14808d10e0f4fee99c5506a1bb0e351a", "e387db84cd31f14e468bb329ac008a80e645400e", "48c474ab86920c70d0a404a80d68096a8fa9723f", "34b4f264578fc674dd2bf8d478ec1314739a5629", "67ec24bf3d227ef11845db4743d3da7f3a5a8f5b", "7348ef42b65f308faff0c2cce10d366dfb3ff35e", "b3208346d45215e63d854a28ab61d39a0eb1ee21", "30fd1363fa14965e3ab48a7d6235e4b3516c1da1", "157d2c6dd8c9999b251099ef4211cff8030ae486", "9631ea02e40b3cdb555a38953432c8584bff6458", "383a9bf5fc7ce9ca9e454a7e044ff0af4495b8da", "d510ed87dff0ac430974a44ccd4ef7cf265b0c56", "4f680611a200c0bea548b3d8f1c29001a63bb544", "980fb221bd7b95929ae5557a5c4f23c6eb5799ef", "17c4488f345f773624652804717610c95c503b1f", "b74c410ea8db3babb9a307d1fb8f08b90ce8b490", "02da0cab1152eb1c43266687ebff8389c2d6b27b", "50a2ba70d42f6543b26444695459d0bac38a4ab3", "36e45fcef15e31af0f05b6b6d4e93d79e62e50e6", "d4fc6cdde848daa54a7daa5eaf283d6ea09f4aa9", "88726ee727d38c7a101f79412ff1cfc9b0e35f04", "6b0b4df3223315553c1b1d911fbe846681ab56c4", "36231ced34602aea79cb19ee3e532cd568570e80", "71264160f7a7d671162f77c62196ce4f7001afa9", "28c24f16e20c83c747f2aca8232f2cb6614905f5", "89cabb60aa369486a1ebe586dbe09e3557615ef8", "a929f59a71e0c568edca21a9aaa0101f494b61e3", "db157b6a9733fc50086bd8bd197c7d995f5d13ce", "7ca37d66cbedf61d30e18e0608078c7b1d7cbf58", "4a5014c23e2adb640f4b07b9b47ca2f2a5d427e6", "6a57b2258c2263af18b65e8a8542b87fb921eff0", "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "aa766115e8bd91a05cb8fdded5ae036c9b03c7d3", "1dc496702d705deb8f1ee19e9575fd8e6d14595c", "dd1a85e4c2ab2ed241af0e8d6e588498597abc8d", "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "6976326c1b8706cd93620560e46dd7d3d7c15d26", "2c37792e0cbe4363caff54be87aaf080d21adfc6", "f6066a3428a60904b39dccfd4cb7ec522b4a69f4", "1a8f35982e77409931463342d3955ff63b73d3b6", "6163381244823241373f6741a282f2c4a868b59c", "7d7255ff50b9e7e4ace61b9ca883704f43298595", "d6cf3cab269877c58a16be011b74e07838d957c2", "3d867aedece02f3110d88623d4a48875d1833084", "4275ef99c717c5dedd88f2e0b578df5216da2183", "f3745aa4a723d791d3a04ddf7a5546e411226459", "0645134e885259c7ddc97bd1136b009051444061", "6ba03818cb3e54b42233718163ae09cd0e12a2f0", "2a4153655ad1169d482e22c468d67f3bc2c49f12", "de46fbad976ec6f02e53c70c1f92b4beb4d84f35", "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "1dc0756f1a58d0ae8beff58d7ddf8fd5dc6d174e", "24f0881a6444ca85ac99882a32c8efee5e2a1acb", "d2f254780699bafff02eafc92e00822ee597c864", "550289407a642e81e1ef9dc0476117ed7816e9b5", "a11600deb182677f4fe586fcea59f10d032a6c6f", "02e39f23e08c2cb24d188bf0ca34141f3cc72d47", "628b7dbf216aba008b9ef74a411b87a99e7a3106", "3bc376f29bc169279105d33f59642568de36f17f", "0c0b33baf60c787b3361a2671ae9aa077545b845", "0867f64fbee671ee2f93e99f28ce79761272b332", "806ea38703fbb421612e50286760e36226f2d2f7", "2a08cab207fcdd333710294b3480ad25b743e8ca", "944e0d37937f799b70a206628d22ceca52feed3b", "4ab3f2b81588805d12158eb3ca2be72e67d98218", "5ca23ceb0636dfc34c114d4af7276a588e0e8dac", "7ddd2eb46fcc7cb36974b5d105e84071c3e40572", "d9fd1383fcfd164b0b826e947fe2716b82d2964b", "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "78133d47c333109ac8f87774603bbc87ffdef0c2", "1d926403bb2f9f4883abda8ef60da547dd35ae97", "e6e57ea0c50fff5a0429d045eccc2a46955a412f", "af11769a427eb8daa8435b1ea3252531b4275db8", "b028e74cbbba184e2ae01f10290961ddd1d09b9b", "e1e1ae77cf37855ddc3493ac240551c28cfc5f7e", "176bc3f528d3d87a7543e377f9b7e4c04b5a9408", "19533bdfa47c2b770b3301cc921e5d5e7dc505ec", "15ef120b8c0bf154f0c78e547d91dcef9e13a857", "89f4bcbfeb29966ab969682eae235066a89fc151", "4c078c2919c7bdc26ca2238fa1a79e0331898b56", "740f744c93dfcc4788408c9054875872b518c11b", "d7688956dd79708b18b497117da2f0398c106493", "9854145f2f64d52aac23c0301f4bb6657e32e562", "a84ff30b8110561dc1c584e55ba56a991941b3bf", "a8a46c299128ac1823c484337e440bb11abd8c41", "4b4b639c7c6bda36be90aaa073bc77b7f288a3c9", "6c4e173fdafa89ac7b40e1dddf953dcc833db92d", "bb55301662e6bf9933b5ecd5c3602b4298c9b14d", "939cd1da477fb04ffbe95b20d0ebe0853cb86025", "43c76cf17767a43a345cd1a8d7c08d18578b53ec", "3bfb3db230b429423dcbdc623ac55b63d038bba8", "00f5c0ad23a9d7c312a316d2a8c6539aadfc95aa", "22c89775cb5309eae5ac1f9ce9d1c2d569439492", "afa004a8daaa7fc093a798bf97babdb00273e1a0", "6ba23d8ac627ea8064b69e6d8208323c37702cee", "e2b0e74bfaa0ba299a2da2e9204edcb10e481f04", "a710e7cc61069fd7b622534510d5409203e2f59a", "6ad929e6a1d916cfb4552cc3b13430c9029fdf1c", "57f5711ca7ee5c7110b7d6d12c611d27af37875f", "d49d740ba5298ead14a7e9b146ba5b706376ce79", "515039d9a2e102cdd4d0fce68052e35e70a32231", "2dd6c988b279d89ab5fb5155baba65ce4ce53c1e", "330a34b8dfb3f6adaf6401c3ececf9f4127505a0", "4a6a59470fc27f8860a094c6cd90ef220ddc760a", "8df066237322cc5f3bcdccad3a752daadf128c56", "0d14261e69a4ad4140ce17c1d1cea76af6546056", "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "1cc19cee80108891ea79c0f9de9622ff7a369538", "77cb6ea4feff6f44e9977cc7572185d24e48ce40", "f3c60536cf7a397c9df6bca549824841a6d7598c", "1f6148e538bceea5d8829c868d4cd3a3bbcac244", "dcdffbdf4c7c7c575e7c46a5faa3fc4c8aa9e0d7", "c1b71c339e4a4f88e0eb90342f10c7ed3fb8f5da", "158eff6ccf0985777ed1160ee8ddd0145b44a0de", "36e4578e29adacc5b44edd3bf9f2a77561b0f2e0", "17127e17c00dda8d5cbad6ad126a5509ead8b284", "060f67c8a0de8fee9c1732b63ab40627993f93d0", "07030399a287cef2e45779b50a27409e45571c62", "dbb7f37fb9b41d1aa862aaf2d2e721a470fd2c57", "b59f9b8081d949175bb16ce59c5ac1bb991d3675", "46afb66cc7a7c6c49b1b5fc6dd1e111fdb4d3e4a", "9ea4aa41fa9e6d19e00bf612699fbc13ba4be576", "0d52f1ae438a395fadebf04990d0d1750cdd0218", "cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd", "ad109cfebcb512ce83b0a6b2fe640466ccb8a1d9", "6017b19c4c0e6c0e5b32e54efda6eff78b69d1dd", "f3002f126f7da75f838637cc314b5f8adc09da53", "8c8a41ca36fb903854c1fbb551e7c2fe49740c5f", "0ab1fa904323c440ec6e185e2d607ccc45225df6", "dd80f3d19a4e3de9e9ef6dc3d23d52852a2ec23c", "05b8673d810fadf888c62b7e6c7185355ffa4121", "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "0aad0a248f6d153f84e2d623042d77e5442693d3", "2f88bf279a66bb519dd5a3f3ed975c7747f9a9d5", "7b15b2ec4ed2b92bfcf2c736c1149d0eccb66de9", "dab6921a578c9ded6904a5a18bdd054aee62d2ad", "d818568838433a6d6831adde49a58cef05e0c89f", "23a450a075d752f1ec2b1e5e225de13d3bc37636", "c751a00dd5357e2e390e5af2626b5fbb6223ea1c", "2fd9ecb40df6c7cd4f27c047223a1e45aae1bb95", "e47fa7ddafd29a93859f6c6d5b05890888b9794f", "35197862aed9a73415bdaea2fb8ad29d66675604", "6c3cb94507de2ed41c0673e7ef669f1b9e495e48", "395978c1dee9fd75bbcb249e74ad6fb4d3c2b9fc", "2badc21fc72730f3ae540ba2d20051d31c4a62bc", "e6a831679964aa1134a2d3c042eb0d2df779c64b", "56b506a95cb63afd1e359babe1fdf3f0138ff7a4", "12c51ef3dfcc3595e9c2f99c374bfa143e296f38", "290136947fd44879d914085ee51d8a4f433765fa", "3c5935ae10077287251c866d3ddac13768e90955", "87398a6e62abb71f516142be2ab88914cd081d33", "9f44ab28e5d4b7b9b63908e912582d20e0f1fa29", "6cf222f7c9ac4b48d95db4a62742c8329fcbd8b6", "b1451fd77efd4f9cb1edbbfd45516205c6457aff", "126b045d5899f7ff4feab858cf95d7cc3c8004c6", "2c7b72d0b66074bff2f0b3493673a51f6f094d5f", "8916b33540de19d7fd138b91cc2d38d9fdb049c9", "a3698c7f280c21779e3b117eec43cae7cdf2ca3a", "645f195e7c301c0bd4821ff9440529c28a58ba74", "17255cf67d05f9f46f9bf7add35a950c36ccf920", "71e942e05f73b163a7ec814a85ff4131cb48f650", "91e58c39608c6eb97b314b0c581ddaf7daac075e", "09571f48442518722b9b6412f2bb4be5faf19d7a", "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "f7ee4901843cf85ed80625a1a2d7e2543e015c19", "0ccc19a924ffbd56c055db22bf88b96bea73aca2", "ec90d333588421764dff55658a73bbd3ea3016d2", "a23bd099a4539a04feb9b4d57668511e62ee53ce", "0b440695c822a8e35184fb2f60dcdaa8a6de84ae", "142f319dd7437c33429a6932390006b69fd7bc50", "aae0e417bbfba701a1183d3d92cc7ad550ee59c3", "9499b8367a84fccb3651a95e4391d6e17fd92ec5", "04afeae3eb05f7be342476ebf241108f200070a4", "ade5f68891c000a434ab48d348695d3c49b8d6be", "438e7999c937b94f0f6384dbeaa3febff6d283b6", "16820ccfb626dcdc893cc7735784aed9f63cbb70", "65dadb2128c8720e9d23160058935a6eb459f7ba", "aa643738532a593e739b5468ddff7ebd4c371b47", "6520367a3ff4f863a95e0d34eda54cd4903f557c", "25cb142df18df30c416f5f41170d6b8c7ab2b957", "021a19e240f0ae0554eff814e838e1e396be6572", "9e92d847ba169146ceb8b3b7cfdc47925e5a53e9", "3a56ca792284c14e41efd360eafdcbe39c5e73bd", "1d585d2a5a57549e734f1b6f77ebcf4377730aab", "8dbe79830713925affc48d0afa04ed567c54724b", "440f1a472b245ba05405b05072c6a622a352ec60", "20da3ec27d221973c681ed8713f3e00ff10fef6b", "10f66f6550d74b817a3fdcef7fdeba13ccdba51c", "260126c4fa2c0be6006335527eaaa58cec711be6", "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "8205d8ca2739f701c1e79490fb1daf4d1f0c356b", "3d62b2f9cef997fc37099305dabff356d39ed477", "6a0e35c2ee573ab62157c599dc92bd05cc511b4d", "6bc71c846863f4bd990d8c68c2763a298d2d30c7", "4a6b1c6900ec3cc48f9a1061a97cb53f6d5f9aaf", "f121154f0a7625fbb1613bd4cc2e705f9de8fd0c", "93a93ee535980ee30e3a5e473a37d89ecb20c4a7", "596f107c1af0d46ac976cf6ca52b8c3b4721564b", "4ebba791d33d10f694c62c762c15ed581d83c857", "d8ef79377ee77ad3b21315072f092db02ce23287", "7af15295224c3ad69d56f17ff635763dd008a8a4", "a3c210e73d827e8a7ea78c91d620af249164b4ae", "9aade3d26996ce7ef6d657130464504b8d812534", "fc063670d362a89232f18336081791897ea505eb", "d869044ad4f8032789781c350059f7b41395bb21", "39ad6ce5f67c76fc1488ce6a31ebdf229b3f34df", "cd5d1e54ed6b97550c7871050d512f21aae27f9d", "c6b81fdcbb7623f92fc4e77cc4fae63c1c2f5fbe", "1a2564592edc25a56637ffc1381c875dd9e7c6cf", "76dff7008d9b8bf44ec5348f294d5518877c6182", "e3b69f122f97a6261bef1afabd7e7b13d778797c", "fdd719ba2495802699b7ba827768ef62109c33f8", "1306ccfec94a36b94085d4cc71fed45abd998b0e", "6774a2f9c88ea8db244d62282229127e83761758", "18cd79f3c93b74d856bff6da92bfc87be1109f80", "e86008f6aebd0ab26bdb69d2549b2e8454b8959c", "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "0e015d0f2cf917c2b8ac4cccc588d67ccbd51c2d", "b37589b5e07659af82da1c859052f3998a40bf62", "70fa17afd5a2f5953032ed1ecb66ca0c3e11b150", "e82a0976db908e6f074b926f58223ac685533c65", "e811550cc83a3650bee8764d5fab4bd26109ee73", "6ff8a87d91c9765609e3c12ee101a9ed82718d26", "37cf5f0d62f064d05239dfd62e768631eafeca08", "79d8551dbe25b0e979ce0034f0721b3bb5f30859", "fdfb82f654e03c4d884713278077cc66e42afe41", "53dbc015e9fb7bd0ecd54c4b6f238467edcff5e3", "12e0695c9ae037c65dfdfe80b0f2ef1246d4b104", "22a23238d5c1f12e192140c1a8d84c0800b1a49a", "098f2320b3cb65ba000201261a813cef96d84842", "ba4e88481e2f211d22254c7d0563d3779b584cb3", "9cf27016cb78509c11eabc0b07c5b92b2cefbdf0", "01c9f0be6a300f385274b72a5463a650e51e300a", "3e4bd583795875c6550026fc02fb111daee763b4", "648d326990ed78d2160139c1ab307a7b3e44b1bb", "d3e980c3f88b98ccde525f2ddcc8df3abca1ca01", "8c63bf3b7b35d4ba6309cf19a181f6aaf8b83435", "810d60ff5c0106de53a48fa2731eacf5ca2377b6", "e2c79f6e4afc691ed6a72b83298e6ecbfe13e0f4", "433a7ee7c30a4d0b7035a1bace3b8ffc9229791b", "c099a6dc8b9f731bbc9a29a920233257c13d9b00", "cc589c499dcf323fe4a143bbef0074c3e31f9b60", "a3d836f601c9c462cddaf1c7175246617dd8f3af", "a7a3ec1128f920066c25cb86fbc33445ce613919", "2cfe4d55590e2db3c18d5693d8b9db4538921260", "4998462014c907c519ae801af39cf58a4c538bc9", "82bb3bb057b6986c02f7a177c98b8fa2594a8eb8", "a9571ef995ea7a9379b1499de1759fed938933ac", "15dea987f66386be14b7811f1f27784f3ed9e9c0", "2306aff6dea3c9d5caaae973c51cc9308c8af620", "5b3eee498ba40423536c3ca487f7ac10d94092d2", "995b2868326837cde96e01390f87b2dee6239bdb", "8aa85d2f81d7496cf7105ee0a3785f140ddaa367", "e18d09be7d1d347258d7d0ae85526416c5389cbc", "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "33e94daa8d5e1e6969f28503a12181bd022d8df6", "ad9d1fb6d39f2c42f9070032c2f8a4a4da1c7128", "653b957d4c70d6cbf8de443df497e47edcab77b4", "f5af4e9086b0c3aee942cb93ece5820bdc9c9748", "d6b9c04bc7a1d410d3fc07e04113c7109429174b", "24caf5d977e840edc39177f35011d9bd969e51d4", "4fdeb5d59b218ecba0f72dc3c42f38a086417c0f", "75a7a42af98c20740050d459109b8c4c8ab18128", "50e9e9d27132654c85427e4940dd1d40e8652434", "4419215162eb6ec20206fb70f6890c5286ced188", "d37bac011f93e8eee3b71efd2ea727d35bd3348f", "ca26e9329459c6bd0122da7dc6339301952c1a3f", "11cc0774365b0cc0d3fa1313bef3d32c345507b1", "a92147bed9c17c311c6081beb0ef4c3165b6268e", "b0502dcc6df378ee3ddeefeeb1cc51a20e04f39b", "699aa8b9b05f746b913bf86efdfa3bcab372f3e1", "4f3656da4cbd1979a5fa763f90defa1f90d53583", "709fd53f07bd522358ab23cc2c4da91266d8877a", "45052b4bad0ca9a51e3f00ce50ed8495595af681", "c3c77b0cb3dfeef0687cdc0487f3d1a9422cb082", "1f62e53a7346425fd33c98d59718807daff965eb", "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "54df4b428f1f07331e9711e8c029375224abac18", "d9c665bad8ba68e8ef9537a86346f2942d78b84d", "0c955c18b1d815f5ae69450db760f658a8647ce1", "b3f07763288c67d9f08b4a2180e06c0468856629", "49c5062e5b73a654fec16ab755d44fe4877536a1", "9c6d92f3d796242332ebf419a4f9b584864cfa15", "4f8a2ea5eb6dec4aa687a29b0721a8d0db52c695", "721c52dba4450c7f5a5128517eb0f48f5bcc1119", "9caacc6001c25ebef373f3cd1746d20450c9480c", "2f3884bc41c15fc9771a298c25ce45b0b5596edd", "5236d6d60cdc0fbdb3caf78bccecca5d92b3d67f", "6890f210cdc574caa89fa94933ec942360aa1e0c", "2ff37f7e00c624066f596b71ca3331171d0f66d1", "570e6e7e2589bb9c7327c6a08aa3b9f36f8a3788", "e322591ea32a5fd9fa7a874ce0d49e1174aa3912", "9188bf095e701e8dcd17205441048b9c884ff309", "439ec47725ae4a3660e509d32828599a495559bf", "cbef6ee44bb87f54d80ea2ca7d1266bc624d9d07", "355cf0799bba51f324f1e8370327e51cd5b358d8", "311c4d091e358bb491098b7d95d265676a66a2f5", "1037664753b281543ce300fed0852a64d24334ba", "fbb37d4700fa54468a1b86d9e0d4fa77a0f53195", "0ecc1e3234035bad7ef53293546a8bcaed99da04", "4b86e711658003a600666d3ccfa4a9905463df1c", "a72f4c3ec0699675e3050900a98434402b221b16", "5c9407da2525a9f71be4bc01b2e72a877ee800ea", "d103df0381582003c7a8930b68047b4f26d9b613", "ab7bcbaa9e77d35634302b021d47e7889628a88d", "c58ece1a3fa23608f022e424ec5a93cddda31308", "5ce0309a124ec78a6b55de0b564ae13bff8c1dbc", "b5d222b3105cf0d9c744efa3763b6718a5dfdbb3", "a8e7561ada380f2f50211c67fc45c3b3dea96bdb", "7ff42ee09c9b1a508080837a3dc2ea780a1a839b", "53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4", "c9876861cc0e33fffe8c3ce7484ae27d3b2eeb75", "17d25eeb711f15067c40ee662030af467181263f", "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "573b687ad970e1931debbf366004c0983de28718", "a4431f94df13f3cc68630ca82fb5487f1cbf4be0", "a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43", "8af9f7c920a87acb3ae127756f498a51b535790a", "ed82b95790b3854f28d2161320bea8aac158d2af", "e541dca453879907b22b766e8751e1a39c316756", "2594a77a3f0dd5073f79ba620e2f287804cec630", "94f725918586d4414437322af5b33dc1b45c0c64", "7f03d628f3371c44a1248962dcb3740fb8573fd0", "498fd231d7983433dac37f3c97fb1eafcf065268", "ea8fa68b74ffefbe79a3576d7e4ae4365a1346ff", "84b2a852ba953051ef7edf6bc2e1db30b9e81082", "2cbb2c7c0f3f78574b5e8cf197774d5b556b1202", "df096e221cc92c481d34443f4788c96ee412b189", "ca60d007af691558de377cab5e865b5373d80a44", "faabc70615649169b559403d7f15d45fca537cbd", "a9fb62cc0ef607d36305b0e39741db7891678c1f", "1e0bbd854f201c0cb965da4356d70dde232b5bc9", "a4543226f6592786e9c38752440d9659993d3cb3", "1ef1f33c48bc159881c5c8536cbbd533d31b0e9a", "475e16577be1bfc0dd1f74f67bb651abd6d63524", "b87abdb1b11b6b2dce1749bdd0b396796da7e7a6", "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "4f618cbf19917ce5b8703adbc14e15b0bf0d35cc", "734083b72b707dd2293ef2791f01506dec9f8a99", "c0264118ec190cbe17503c7b4099905b1508d396", "322a4a915a77f05936a66b3a010e569243c9bb3f", "0bd7c720e64a3c6e82f5fbe2a0183a2055e0d8bb", "bc249c9be803af3d4a5a6de495e1c85578fce84b", "c52cebeb90539ef424c35ea37ab004ca4bf09a9f", "3a1c40eced07d59a3ea7acda94fa833c493909c1", "fb4d1028bceba7ea676e6d7a6e767ecddd841985", "aed124c053b9c510487d68e0faf32aff2a84c3b5", "d660abfbe5f84c1c49f1e7174eb166b8b23e53c4", "4ae67bec2fa4f5774215634c66bb67619a54e677", "51670395402625f1b1ac42df471e6e3fe27865ce", "2354bb91a72b7667a03c68ea74ede7a5c90b3afc", "90f6f13e402454a964f6c5707b91dd2e13f3a9c9", "2f29b13fcf7a92a3cc438014068f11f9e45d62be", "140c95e53c619eac594d70f6369f518adfea12ef", "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "1aac36122c07ecccfd59d912c22865801f096190", "a3201e955d6607d383332f3a12a7befa08c5a18c", "5bcfeb4d3730b541218aee4ba77919a636971443", "ddf099f0e0631da4a6396a17829160301796151c", "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "b4338267e825a4cd057365abf49217e1c76bb5f9", "02467703b6e087799e04e321bea3a4c354c5487d", "8da32ff9e3759dc236878ac240728b344555e4e9", "71ca8b6e84c17b3e68f980bfb8cddc837100f8bf", "4b605e6a9362485bfe69950432fa1f896e7d19bf", "9865fe20df8fe11717d92b5ea63469f59cf1635a", "44078d0daed8b13114cffb15b368acc467f96351", "75249ebb85b74e8932496272f38af274fbcfd696", "5865b6d83ba6dbbf9167f1481e9339c2ef1d1f6b", "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "9286eab328444401a848cd2e13186840be8f0409", "5149a01f400f3f0ff4bdd4bd003bd4c50efc9354", "bb4f83458976755e9310b241a689c8d21b481238", "da2b2be4c33e221c7f417875a6c5c74043b1b227", "8d3e95c31c93548b8c71dbeee2e9f7180067a888", "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "21117380118ddce47b3c515c5228372c513e61ba", "f27fd2a1bc229c773238f1912db94991b8bf389a", "a2b4a6c6b32900a066d0257ae6d4526db872afe2", "3011b5fce49112228711a9e5f92d6f191687c1ea", "ce76e45d67773b2e31d195c222870ee6f6af8364", "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "2ad7cef781f98fd66101fa4a78e012369d064830", "3531332efe19be21e7401ba1f04570a142617236", "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "3dfb822e16328e0f98a47209d7ecd242e4211f82", "2241eda10b76efd84f3c05bdd836619b4a3df97e", "17479e015a2dcf15d40190e06419a135b66da4e0", "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "7fb5006b6522436ece5bedf509e79bdb7b79c9a7", "486840f4f524e97f692a7f6b42cd19019ee71533", "04e71c050a80fe3a594192ba14cb3a011b44b68e", "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "19fa871626df604639550c6445d2f76cd369dd13", "13a39916d0459879703ce20f960726c5fb7269f1", "870433ba89d8cab1656e57ac78f1c26f4998edfb", "3933e323653ff27e68c3458d245b47e3e37f52fd", "83d5721eb59461a55fc5e63805d0a83155746ece", "2e3d081c8f0e10f138314c4d2c11064a981c1327", "30180f66d5b4b7c0367e4b43e2b55367b72d6d2a", "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "38d8ff137ff753f04689e6b76119a44588e143f3", "3c97c32ff575989ef2869f86d89c63005fc11ba9", "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "28d4e027c7e90b51b7d8908fce68128d1964668a", "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "6ed27a41214716259676b6949999cdf4b12d0bdd", "1e6ed6ca8209340573a5e907a6e2e546a3bf2d28", "291265db88023e92bb8c8e6390438e5da148e8f5", "c43ed9b34cad1a3976bac7979808eb038d88af84", "582edc19f2b1ab2ac6883426f147196c8306685a", "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "1121873326ab0c9f324b004aa0970a31d4f83eb8", "5f771fed91c8e4b666489ba2384d0705bcf75030", "05ee231749c9ce97f036c71c1d2d599d660a8c81", "c6382de52636705be5898017f2f8ed7c70d7ae96", "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "9e31e77f9543ab42474ba4e9330676e18c242e72", "37619564574856c6184005830deda4310d3ca580", "df51dfe55912d30fc2f792561e9e0c2b43179089", "a50fa5048c61209149de0711b5f1b1806b43da00", "28cd46a078e8fad370b1aba34762a874374513a5", "29f298dd5f806c99951cb434834bc8dcc765df18", "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "944ea33211d67663e04d0181843db634e42cb2ca", "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "83447d47bb2837b831b982ebf9e63616742bfdec", "8334da483f1986aea87b62028672836cb3dc6205", "ef230e3df720abf2983ba6b347c9d46283e4b690", "d44a93027208816b9e871101693b05adab576d89", "06bd34951305d9f36eb29cf4532b25272da0e677", "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "ce6d60b69eb95477596535227958109e07c61e1e", "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "052f994898c79529955917f3dfc5181586282cf8", "20f87ed94a423b5d8599d85d1f2f80bab8902107", "746c0205fdf191a737df7af000eaec9409ede73f", "7ce03597b703a3b6754d1adac5fbc98536994e8f", "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "cfd4004054399f3a5f536df71f9b9987f060f434", "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "f7824758800a7b1a386db5bd35f84c81454d017a", "4efd58102ff46b7435c9ec6d4fc3dd21d93b15b4", "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "18858cc936947fc96b5c06bbe3c6c2faa5614540", "b7bde76f52b3a8a20a05d2a01dec1d1c2a16e609", "72a7eb68f0955564e1ceafa75aeeb6b5bbb14e7e", "77362789d04db4c51be61eaffa4f43e03759e677", "b908487b30002d5ae1ebd819880a713494a45a40", "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "49258cc3979103681848284470056956b77caf80", "14aed1b7c08c941b1d2ba6c1c2ffb6255c306c74", "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "42e898ca773dbd9e085ffa824c21d0bfda245345", "4d90d7834ae25ee6176c096d5d6608555766c0b1", "4e7ed13e541b8ed868480375785005d33530e06d", "13e3a68dd49b2098c2cad2acc799953abdcaa3ee", "0cb2dd5f178e3a297a0c33068961018659d0f443", "5180df9d5eb26283fb737f491623395304d57497", "a2e0966f303f38b58b898d388d1c83e40b605262", "011e6146995d5d63c852bd776f782cc6f6e11b7b", "1ba966584fa935ba8ab8654016a12298fcd2b048", "96e731e82b817c95d4ce48b9e6b08d2394937cf8", "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "3cb2841302af1fb9656f144abc79d4f3d0b27380", "acd4280453b995cb071c33f7c9db5760432f4279", "6fbb179a4ad39790f4558dd32316b9f2818cd106", "0b82bf595e76898993ed4f4b2883c42720c0f277", "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "61262450d4d814865a4f9a84299c24daa493f66e", "84ae55603bffda40c225fe93029d39f04793e01f", "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "d92084e376a795d3943df577d3b3f3b7d12eeae5", "48a9241edda07252c1aadca09875fabcfee32871", "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "de79437f74e8e3b266afc664decf4e6e4bdf34d7", "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "fa03cac5aa5192822a85273852090ca20a6c47aa", "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "2d748f8ee023a5b1fbd50294d176981ded4ad4ee", "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "1ef4aac0ebc34e76123f848c256840d89ff728d0", "0c1d85a197a1f5b7376652a485523e616a406273", "1fc249ec69b3e23856b42a4e591c59ac60d77118", "80be8624771104ff4838dcba9629bacfe6b3ea09", "5905b4610389cd3b11a3a1ce06c05fee36a97f86", "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "b503793943a17d2f569685cd17e86b5b4fffe3fd", "0aeb5020003e0c89219031b51bd30ff1bceea363", "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "f8e857063914c58df6d3eec24b79355619cf01d4", "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "772474b5b0c90629f4d9c223fd9c1ef45e1b1e66", "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "1da8178bfca7c76cae53ec34364d86c7d5713fdd", "50b58becaf67e92a6d9633e0eea7d352157377c3", "3d85cf942efda695347c7d95485fcd1e6796ee3a", "3b3941524d97e7f778367a1250ba1efb9205d5fc", "57178b36c21fd7f4529ac6748614bb3374714e91", "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "6005a30bf103164fe3410185976b6b8b36537aca", "1f9e7b699cf2db3888a56ece481ed2f05c88520f", "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "cd55fb30737625e86454a2861302b96833ed549d", "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "098363b29eef1471c494382338687f2fe98f6e15", "6341274aca0c2977c3e1575378f4f2126aa9b050", "84c5b45328dee855c4855a104ac9c0558cc8a328", "628a3f027b7646f398c68a680add48c7969ab1d9", "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "59fc69b3bc4759eef1347161e1248e886702f8f7", "6afe1f668eea8dfdd43f0780634073ed4545af23", "415078018292f90644ef4d34daf381fdbac16d41", "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "b2cb335ded99b10f37002d09753bd5a6ea522ef1", "e83fb7d5510f777048abb2015456e60b1d5eaa65", "64d9c5ab4cab193046ac839b74d182a472fe45ba", "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "56fd4c05869e11e4935d48aa1d7abb96072ac242", "14b016c7a87d142f4b9a0e6dc470dcfc073af517", "a581dab3ab41adfd843ac51af30d47022a5f855a", "d1a43737ca8be02d65684cf64ab2331f66947207", "8f89d6ef6c9e3ee4883595f94b38ab01d05d7b21", "a8117a4733cce9148c35fb6888962f665ae65b1e", "a29566375836f37173ccaffa47dea25eb1240187", "03f7041515d8a6dcb9170763d4f6debd50202c2b", "173657da03e3249f4e47457d360ab83b3cefbe63", "d9b70268f7b3661645417b956bb1e56aef7bdedf", "e4c3587392d477b7594086c6f28a00a826abf004", "efb56e7488148d52d3b8a2dae9f8880b273f4226", "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "47e14fdc6685f0b3800f709c32e005068dfc8d47", "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "77037a22c9b8169930d74d2ce6f50f1a999c1221", "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "6909cd34a1eceba2140e2c02a842cefcecf33645", "4e8168fbaa615009d1618a9d6552bfad809309e9", "5226296884b3e151ce317a37f94827dbda0b9d16", "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "fab60b3db164327be8588bce6ce5e45d5b882db6", "5fea59ccdab484873081eaa37af88e26e3db2aed", "31b05f65405534a696a847dd19c621b7b8588263", "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "4ad8178e285901c886e3e2e66f2340115347b23f", "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "3b64efa817fd609d525c7244a0e00f98feacc8b4", "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "86204fc037936754813b91898377e8831396551a", "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "48499deeaa1e31ac22c901d115b8b9867f89f952", "4b3f425274b0c2297d136f8833a31866db2f2aec", "5981c309bd0ffd849c51b1d8a2ccc481a8ec2f5c", "aed321909bb87c81121c841b21d31509d6c78f69", "2c92839418a64728438c351a42f6dc5ad0c6e686", "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "a35483c9becc95faa16bf70a8c6355566a205091", "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "f5eb411217f729ad7ae84bfd4aeb3dedb850206a", "dc13229afbbc8b7a31ed5adfe265d971850c0976", "3b9b200e76a35178da940279d566bbb7dfebb787", "368e99f669ea5fd395b3193cd75b301a76150f9d", "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "140438a77a771a8fb656b39a78ff488066eb6b50", "109df0e8e5969ddf01e073143e83599228a1163f", "c01133cdc8dd24affdafc03086e419e02f8c64af", "295c44af9e9dc7d6bb7247f567f36001b8f6ad7b", "1e43d706d38cbacac563de9d0659230de00d73f2", "42e07485caa2211707c312afc6bc5f5f1ecb7f14", "845419c6183a9baead5fbaf4ad79694d247c4deb", "758572c5779a47e898caff7232af76eda253163b", "e61a7a02cd2b68043012231f8da1d7077e665040", "3da3fca7cb2e6c071b4b963446d8622b34a96ee7", "11ca91ee2c9974fbc8577207893381a46d79fd3d", "dae0a4ef50b347f145ed6de8f6c7fb94d350f937", "ff5f43762a4bc3286fcde0f45e23714fc23641b3", "0689b01927eb99d9a2520fdfd4b238ca4de1ca7e", "d33c9fe66bad7a90e34e8bc1332b73147a30d202", "7ce25a0852e2345be1a1bd02b8eb4cefb9d47073", "97cdf5887f47ee49c6fb0ec5dc1530ac5b19a36a", "691c034580aa9a7865c6eff95a819999f039976d", "41690be86b39c55a26ea056261513ddd726d6601", "829739639a3a3e31136582e9f97625599a020ff3", "7c0bd7ce51c62671d5ffc1506786b0b7861ce00a", "2e045673404592cb4c0ea136d7521bc6475b3b51", "509be79bd94d56ef7cd1af54e2be88983805bbe9", "0628ffefb911d1446914098d7c38a094c92c8a70", "d5c4a7e9270a68137b5d6611bf1a1478d60093f5", "f89aeea0b41bbb89275174eb8f84aa1832183f4b", "4ee380e444063f9b948a2fd82e5c11b97a570ad1", "a07e7443a51cf64a338500a834f5d80cee69d5d1", "e1e6a4146c082e5465cde38e9511de3d150b4ede", "2ee5d3c5197ee6f23bce8af515471c415e8c65d4", "76725cdaf2b5d78a5b95f2aff134593b78c42cab", "befd21f74248ca5f22f608043d64cdea67829737", "c961a96173f7c13883aff1f8b1628d3299e78857", "cb3ba84146d1324e1cdbde3764ca3b354ee09a2a", "d75d074c11a62780b836376249391da39660cad6", "283550fce0fdc0876db5df533625dffdfcd8d099", "1d1f83023686d43fd4e8805c8e517dffb02d118c", "7f6653e70c3860b537354875677722565e707efd", "22a5c5b366e56339b34a66ce2a4a106592656e40", "21392a527c80839067c0c814763f6b320ee6665e", "73e271ba44a183fb3d678ac2dbb025727da3725d", "63b0697ea7561029d648f5fc3cf940c29f2701b1", "90d8bf2199e7fd972dab3bd3dc6fb67536fa509b", "d9849dbe923b525f3039479178f43a5ebad27ea9", "47788b7a4700d1bbc972178f3680a028874afdb5", "9b1ec8b20a9ac4c9797c27b75cbee9302c3fd4f9", "4e510ca3e5811026a2853390b926633779446228", "26cd9c812c279347ae96db31cee1cbee0f646fa4", "f6eb6f13cb0af1c1d99bf2c5293f7fdfd2b002ec", "9eb111f6990d1494a3904f22be9836c202efd7d1", "0c5b03a6083950aacd9aee2d276a232e6ce3213c", "0a8cfe6bf63530d9ee402a6a6e1a7666008e43b7", "eef35aa64e16b3558c341599ca44aadcc22990a0", "41b24c890ae0ef99ff031c9c8549375af6025fb6", "3d1c9151929aece2c0cec96aa77f7d6ad30afbc9", "22baee247a44e3585f1dba2d01727b6be07d1944", "11373e3b60b0bb98da5075f85938004253dde3ee", "ac8269a3033ede3c1ce4381b1fef61375a54cfb9", "380d5a881f6f79e5253316bb1d6f56a117e12e0d", "309dd5555dad9dfc3f3889cf11b5dec8ab797da6", "a00a59d79ff863c5ac8f1e0fa4a015de4ed734c0", "a01ed75aad9b842c9bdc4bfbff6d90fa8b747466", "4fa85ff0c4f2c33a6f03f84f988cefe1b829a726", "1a229f1d21abe442520cba31a6e08663b3d31777", "10d0405b6c2072c0258430ab0b4f193f67db317c", "2911782a45e76936ade94216c1213d3d119cf4c1", "42c8d3a33a73ace976cdc6e0fc2a17c011d54021", "b438dc16bf97c1324ac66771efa67bdb9b853346", "b58672881dd8112cd3e6dedebcf8367ce2c9d78b", "38e509fc0d94e954a512128760f7a1f0d6fbc384", "a3916c952fb3ad2ef834fda08c23020f59f1e54e", "e73a14bbf3d00fb72b710b6c62639d65bf4ee415", "84af45a22535589053d0b00c9d6050c1150f9eaf", "ab69f49fedb6936ce04b2e9d1f161772b2f24b7d", "c3f5cf5594e66dbbeb1af72ddfe7d5e24a4f56c0", "ca581cd5bd0cecf346f2bc47f4b67bfee31b9da1", "9ac625867c50ce839d56a52ade92d3b971caff43", "c3305114a831c6507c819be70b23c068b07aefe9", "9f9b6224b103e9694444bbfb9efc01f67002014d", "7998babd6df1772532e594625d8c07eab2eefce1", "3d74d4177f5c1444b73221c12f359e858625a691", "048af40cbd0516eb935641065b2224f390731e2f", "81ed539ccd14f99ed4b2d126e4b6a0ccb4082031", "0740f71446e99273b89d89fa05ab439dc58c12e1", "853d5a725ba83397d1b75d6d6eef3eccf448d754", "c507eb104fbd4397da056b040b060d81d25d71dd", "89a9f4faa9a24690e140542be3c5db4a0db5648b", "c3599c91d0e3473178c1578b731b03e4be5d3ff1", "27c6b0883e51ec901e587963070eb2ad96871a33", "58f63d82c4f4c97e9f25b77a83ac04d084c3d56e", "8a85de5d0424cf7424887a7f1f0b36f37e65a10d", "751e352fe52946ca3d0f51956706313ce521b658", "75073faadb967823db48794e9cd54b681bb0729b", "381416c19b636c9bbab6ec5ebb1c1fa1be6faeca", "b8898949a2be260dfe9540b2a39816fc82595244", "711801297f23df9ac8ca1c2d3c9d7dfa2ed12043", "362d884ff43d8c7cd6bce184944cfc04cdd57c18", "424ca6d3746ad6975d0fbc7bd6152e4bcca4b281", "17dea513763c57dcd0e62085045fb5be6770c600", "3b23c39f21156f9ea86ad8bb2ca53b2cf56b4181", "ef75e38d567436a22171de2fb038b2f7c9ae2863", "bcaff57992ba8e66f4bdf49566b4f3d740a172d8", "06325345f9ffef958d9d7c704b28e6cbb3021b8c", "ebad62ebe00fe0f0c19ce04c3f7250506137fc71", "156db35e45030aa590625a3188c8784306d3453a", "45518c2350b9e727adf59f1626610917f71aea1e", "33e1398b73c9789debed1168536c93632c6f3f10", "93e4aafecd11ded7d691204bb576716da4e13cc7", "316486bada6023816c785c0d4eb401658737be3f", "f27c685b8f006cd9594266d98efc17bbf64d2d7f", "0828a2d546796192d84d0f622b9ee0be90e073b9", "147046f4e1b4d1272b482cda87364584db5c1526", "c36f933a46e1d1c51785295bb97154df9ceada36", "00796052277d41e2bb3a1284d445c1747aed295f", "34e5cd31cb05beed14a6e14b7c3158c0f67dd8cc", "606c5f3ed9befa7113bc28436a8a91f176934874", "6f7b74b131d83c5f97ca353cc0267da5910c5619", "36e21168155720d0210b8cc4ae031091d96701c8", "ac68dacd66ebe1c7eab56aaee9a8bef478be9a23", "c188bcd2e90273fe8078cb28dd7d4b131a2a46c9", "4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c", "00434a4491b6710308c653c430784872849d1f36", "930663a0812a7a53963563b647c5957807d3d97d", "56917004d3cc3aca5668305fb33ddda4855dd519", "7650f44d9558928f2feca09467e87a75cbf85735", "b6bbd9a66d573e4b22fd0603acc707dbc5379648", "3f9c09e2fbefc9aeba6505f49317f9a2fc03a615", "3b1f325aef22021a75cf790fbf8cce74ea9786d7", "f1c76d97caa6f882764c1382c622a2dfb6aade43", "04daeb22aaab37f24345238fa23edeb7d40fbc55", "cba130014e6cc590a09aaeca0590623b496f126b", "bb0dc5b3da817a13795c11bcb4b7c80f2414f077", "c7713829e23ff40e27421cc34fbe0ef71b13684e", "d138270d3c06e85fa2c3da6f953818da4b72313a", "00ab6bb0df7fd605038d64eb5798b31481a39dd0", "01f42436042ddaa48998c87109cbe46cad6e7e52", "56a1cdad6b78c053085f8676bd7f5b8eb5e05435", "0a71b71421d8a33c41625963d19d5df85685dffc", "0f907be717c75a5630a4a86080118a3d21581ece", "ecd0a2e55f456b69243d1278fee15d8dbfc98c28", "a826646a8e4e8a746111d3a6915c8f0fcfcc3a00", "6ab6c1334c70db6e7705455a2db359e8d83042f9", "c8ee4812c32b0ad4e26d53b99e1514514bbcaf14", "ae6eb5fdef7fa235379cd741a79cdcc2f7102453", "2734b3a6345396499b2b7c6cc1b43fc7e9b375ee", "2b514d32318bb01ab04f75ef19ad1af63bce7943", "30052dfa6397cf9732a7385dc55f207a0ad24ca4", "6289d2c4c47d7101861153bfe78c92d16cf4581b", "1914d07f940dcae3d82642513718858925a26fc3", "b233634f8944080bce276b6d8962810699494c93", "0a84a63acef89a0f632ef08cb0b00af77ed8e7f5", "5b4ca29fd32b2d11b0e5ea7efbc34a34023915e2", "ec836d3239287400f17c06a230c2757def28fe3b", "9fd88e00acfc0d4b40644eeed28c0780b7025f66", "d80b26548469f5aeda2185138bca0816b1c4b10b", "beb63713d17df19fd7e7e337b2c87841725fdce4", "286b5b80bc76dbb63094a85951bb8e8895ee9f14", "fe5e1e869510d18d4c771b1fe924fca0a01f7222", "8e9ac116393057eca401c35aed19b10f04c265fd", "1a9e0bf9f7a9495bcdf1aeb214ccc9df9f2a9030", "30bb582c2c09abc7eb9dda7d9f80804eeb89f9d7", "ab0a1ad85ffd00df6640f0f5c3e7166a53563eac", "14a829e8a32ac6f0c7be194750128412644de67a", "007394c2bae389cf43e46db4567dafe206355c25", "656d0593bde5a9aecf0a791ec21cdb1fe05cc30a", "e5dc8be9b4678ae1f91764494acc96299cf44009", "cd331931b4657b39ee1ac57471cdc5a484661e50", "0c940ccba1bd9380a0ac723d791777fc1746a060", "a3dd5a595039dcc13d1a98930b7a68ee4307c991", "a565990d6b176bf9c82eec9354b0936fb141e631", "538a38193de5df19a095fc7187f5972de0461195", "9137ecfef874e36da780b6a14fe873dad5da8044", "6574eaab393aa8d674cd785fab16cae06a53151a", "0949f46d5db3169813ae23acafa345c6b8a37f08", "318d7a4bc9c7b1e3a01056815479564ed8ad78a4", "1542b8a1805d73a755d4b2eb402c5c861e6acd02", "3aadcd1e809d07965db79dbd4f026e89500c2a1f", "4add5fda38b0a651295ca2886a9a39ace48dcb3e", "9c31daf957e98eeabf58b22b7800e93a49a92d93", "4c05dc45b82b79e87f7b337ccf9f48d537c0e6e2", "e30bbeb927ccb1798e8a5372ad2c2a5f33d132b6", "eb871655e36fb2b837bbdacc4d98d903931f5caf", "cf64cdc889a4edaf641a307aa2b11d89d4d10a09", "a4acd75470152933faf9957f04579aa662a912a0", "a098721a7173b7079b9158c57818cbcca962b97e", "4861ee51f31fa27e7d1766de06591a27dc992085", "4d9e89d724145e6ab86df356764022210c1c0042", "069c9b3c7cf82310d3e06831208aea15f6fdfc32", "da90c9ff02e76a7e686ffe13bcdedbf949c86dfa", "92175241bd9b55b53403b9f6ffd3a6c956733490", "080a910dcb2541e0ca9384d27de3db7a0248f02a", "9bb1f695e399d030ba188b29b546cd9b26039715", "683260bf133c282439b91ac4427d42d73a5988b5", "e3b40ffd57a676aef377ef463849fd6b9a3d3b5d", "10195a163ab6348eef37213a46f60a3d87f289c5", "1277b1b8b609a18b94e4907d76a117c9783a5373", "7fab17ef7e25626643f1d55257a3e13348e435bd", "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "92b61b09d2eed4937058d0f9494d9efeddc39002", "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "36a3a96ef54000a0cd63de867a5eb7e84396de09", "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "14e9158daf17985ccbb15c9cd31cf457e5551990", "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "b30aaf7e24f665473d9d19739581fd61499c6f36", "bb20363203aba8e88e73603c1e493292dd0c686a", "28d99dc2d673d62118658f8375b414e5192eac6f", "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "79c959833ff49f860e20b6654dbf4d6acdee0230", "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "9939498315777b40bed9150d8940fc1ac340e8ba", "d11d0151618987ce00a88ceda55d35f0bb89122e", "15f82c3a7f12b82281aca77d519403086611ae69", "c6d55dd73bd124c8e2240630258de96bddb504d8", "ae88996aad98bfa49a49d653fd9476e5982e982c", "ec05078be14a11157ac0e1c6b430ac886124589b", "357963a46dfc150670061dbc23da6ba7d6da786e", "50ff21e595e0ebe51ae808a2da3b7940549f4035", "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "b88bace97d214d279e3a2053ccff0b6425295708", "74aeca09284f0941a9c7e7ace0af1cabf0795156", "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "d00e9a6339e34c613053d3b2c132fccbde547b56", "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "4560491820e0ee49736aea9b81d57c3939a69e12", "6601a96220005883572fad5aa6b4632e413c8e5e", "cc45fb67772898c36519de565c9bd0d1d11f1435", "02567fd428a675ca91a0c6786f47f3e35881bcbd", "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "35f074047838d1590591a93477d4d7eef4dd52d8", "d5b0e73b584be507198b6665bcddeba92b62e1e5", "2b60fe300735ea7c63f91c1121e89ba66040b833", "4f1249369127cc2e2894f6b2f1052d399794919a", "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "f77c9bf5beec7c975584e8087aae8d679664a1eb", "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "ff60d4601adabe04214c67e12253ea3359f4e082", "8c2233d763deb01761abe72b9b3dbb0b115916d3", "00a967cb2d18e1394226ad37930524a31351f6cf", "39c10888a470b92b917788c57a6fd154c97b421c", "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "632fa986bed53862d83918c2b71ab953fd70d6cc", "36939e6a365e9db904d81325212177c9e9e76c54", "380dd0ddd5d69adc52defc095570d1c22952f5cc", "53b61d674f7d7758188ed51b81737d545d1641ab", "9e0285debd4b0ba7769b389181bd3e0fd7a02af6", "390dc36d547dbf9bc9774ec8de454e6317a2d170", "b8c08c1330779283b3fbf06d133faf8bd55ea941", "d7c2f972c21290e9df8cce1b4f89389983268cb7", "5f94969b9491db552ffebc5911a45def99026afe", "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "a9ad8f6c6bf110485921b17f9790241b1548487c", "99c57ec53f2598d63c010f791adbca386b276919", "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "d00787e215bd74d32d80a6c115c4789214da5edb", "ed9d11e995baeec17c5d2847ec1a8d5449254525", "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "523854a7d8755e944bd50217c14481fe1329a969", "0e71d712f771196189b01f0088cc3497d174493b", "7f30a36a3faab044c095814d0ce17ea2b6638213", "8397956c7ad3bd24c6c6c0b38866e165367327c0", "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "df7af280771a6c8302b75ed0a14ffe7854cca679", "4522a7268facecf05769e90cae6555ac70c05cc8", "a101de23d08350011890f851d4f73ba8f39259c8", "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "fca9ebaa30d69ccec8bb577c31693c936c869e72", "9c63c2210b5dde771ec8751cebc4281e74034fb0", "26c7eda262dfda1c3a3597a3bf1f2f1cc4013425", "305346d01298edeb5c6dc8b55679e8f60ba97efb", "f580f4d6dc15b352f0bad63128587bc67b886170", "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "c9c2de3628be7e249722b12911bebad84b567ce6", "8f89aed13cb3555b56fccd715753f9ea72f27f05", "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "cb27b45329d61f5f95ed213798d4b2a615e76be2", "0cece7b8989352e16a2fab8c0a0b1911c286906a", "7d1357c13d502f00c66a91cf90a3323d93d190b0", "cca476114c48871d05537abb303061de5ab010d6", "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "56e079f4eb40744728fd1d7665938b06426338e5", "8a991beca5bc864bbc1e26df953fd1fbd4dcb4bd", "ec0104286c96707f57df26b4f0a4f49b774c486b", "13719bbb4bb8bbe0cbcdad009243a926d93be433", "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "775c15a5dfca426d53c634668e58dd5d3314ea89", "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "81e628a23e434762b1208045919af48dceb6c4d2", "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "2149d49c84a83848d6051867290d9c8bfcef0edb", "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "2de5cf93f1b53d01448b94506ddfa13df8f53092", "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "377c6563f97e76a4dc836a0bd23d7673492b1aae", "5366573e96a1dadfcd4fd592f83017e378a0e185", "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "99f43e5f8f4348c04e97590ec173d61d2be1882d", "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "633c851ebf625ad7abdda2324e9de093cf623141", "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "2d8e5012c3772003d1fef084d9e2ebc87c8deb64", "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "2b632f090c09435d089ff76220fd31fd314838ae", "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "cf736f596bf881ca97ec4b29776baaa493b9d50e", "cca9ae621e8228cfa787ec7954bb375536160e0d", "51f626540860ad75b68206025a45466a6d087aa6", "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "7b92d1e53cc87f7a4256695de590098a2f30261e", "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "a398fcb30b49bee32d8f2c4cd3939517cd262025", "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5", "c5749a9f786f3044e380b1fd23eea7e3534b3e64", "e03bbca03dc10c4dfb10eca7439aa1a19233aa5a", "2a42f5cd39f6518f6e41633f237090cb80790f35", "c21374bb29efd282ed89b5094bcd9a7416d30339", "50f1427d24b13ac374859ef851bfe1e05355b958", "91275ce826037081f6d02eb3471601a97ac5b4bd", "ca54d0a128b96b150baef392bf7e498793a6371f", "1e06865a8fa4e76867cad59ea4e6c4708f958a44", "e1f6f01457f527408882a0e2aba7b2496b48456e", "9b7af646fc817fa1aca2fc6655d64686a65ab17a", "30dc93e203313748c3a23b99378209c6919790ac", "653a3a1ec8245977db082fe80f53bebf0085295f", "5ced805107dd8d453c25f5a176ec14a0955d8ee0", "1100ad221e6ab2e898beb0e49af107b34c02090b", "bddb0667e74549eeebeda1fc50f49a5eb6fdc55b", "2f1a5e5b2cc9d2b31913f1b873e2a617b6aaca05", "2b47a5ac9ae5bcca1f0ae3910c690249e6c469f6", "096775868090facef67f7394e5b94b50128858fd", "c789b35640f09b5aa8139719e324a8cc9e3cc0ab", "4ddd0b6644457a2027fe206cee57121e9493e700", "78b1a3e26125711ac0b1cebaa6fa65a5625ec751", "1da99a4c19af3c13a17b90081da291ddee9611f1", "77d72c0bc603ec1da852362035be8be69130f3d9", "780ca9b0868435354a9ebdeb384a3b632f18b98a", "bd08ee3464d50e79d013ac842737fa97367c92bb", "66f9e488496fafe853f49f834b8041740ac82926", "5552d34933adcc74d0e3ca8cdbb93cfe3b1aaf46", "03cf107beae8394c685cd3997c8c4740e2468a7c", "e8a5a2fd1bcc580139291ccd0ff967e2007893e8", "7dd77046d1268e41e82fa452fefe91a779d3e7c4", "d78d66e717f62aaab59a4f11335167d72ea7f19e", "346a307a26285290c5baf726e3076ca1d5eb9b5a", "b1a3b19700b8738b4510eecf78a35ff38406df22", "4a73629639f1ee42f8352c2e2dfb9ec306ac1400", "413015edd64a15cf2b2a9172768e8c12db5a259c", "048fe8396aa62914516183ea6bdffcf38838ee07", "1581abab7ee42f741b8cf783e7d7898493de2ebc", "b57677ffafdb4a1224beeb91510d17afc235ac8b", "dee460eab759c02b03e5cb6495ca73112d857e55", "8992f0fe1c23796047601f45f1c99224a9fc4fcd", "5b6f5645a9de8e8c250e4d473aac61016f9324a3", "3b475c337df0dbf30c0627272b45219f3fcf3550", "97d16fcb4b692a6a9a1ba9d0d102319eba35b6e7", "049d93ca5b69431aedc2cf2acd89cbc40aea158d", "44a9f290dcb1b30d478b8b9dd94e0b3637aff92a", "8e1f593376ec8f0a7d4cfd98060406f2628e0178", "3837f3faa722c91aa21d6f17ea1ac1cb5187bda1", "99e386cf71727ee66d5ac77693e107c78508f899", "dbed7dc1cfed3e0b80a594cfdd1f129624b4fe22", "1b1d9b528c69e082dc5685089090bd2d849d887d", "c5adb33bd3557c94d0e54cfe2036a1859118a65e", "2f6e6ffffeb9538362b4dfcf90ed242c57317a1f", "4958c06da5581fd0b4904d3bf0ee09958ecdba5b", "b73ba189d0d1a3e2502716fee60c6865a7964d6e", "389ae84da4e82498b0175176f2f19ef6fbd06f64", "d4881f8794acc300cce436a4d60f46d040a3af99", "3df26d623b15b2e27a19f5cfef33e36112f07675", "217a21d60bb777d15cd9328970cab563d70b5d23", "a2df7d7cb330440165a23ab24ac79e11cd1fdcc3", "b22d1ef896a034c080ae3ce44eb78393f2156396", "1e41a3fdaac9f306c0ef0a978ae050d884d77d2a", "0949e3a8b5e70d47f07dffe3aebb1a709f283199", "1acfe213bde3f69a8eff515d92ae88220cec4bad", "939453d51ba1a574a9f5a41194d14ca2470da88c", "ce4f199ca6df3e8515b0f75f3a69c917d2d85b66", "771479c18b586eafae21baf262a220aaa7b2eef6", "b68f55bab12ca50b033d8b5c773ce5fe88c5923d", "bd224f8cb6a241fd651f4659c18928221c8b8ef2", "f2cfe635bb9ffef30589e48d68fcda8fbd034c9f", "ae26f381806845ac0d4185815eadbc5bc0eed609", "7e63af3e76b4c7a1168a577eb317fb601bfcf87e", "1d05bb320ca36cfa062ef8ff76590b9ae3acca58", "0a1413e7a8414aa1f129daf0b7ffffc1d5070212", "2717998d89d34f45a1cca8b663b26d8bf10608a9", "65601451bf636e4655007b0fc535b32eca980cc8", "13636bbe75556f069eeccd6a84329d9fc4a057fd", "946045a3c6304c1cf608f6096878d6ba180df2bb", "304c757cd27e1d93596112882f42b5db3f7efe49", "56de5038b1c0aa706b2c99dbd4dac7e79e8e5eee", "ab4228c3be1e795ab3d3349be8d61b9c1cce729a", "2b1dff6c06ae92b8d73d2fea6bfbf5122da46a81", "9684a54d9ff94855a40a2dc3eeb1ff16b44795fe", "6f9892c904995ed8a6eb48d7a19baa0e40420f90", "a78cf9ee6571b99c74e330dfe8d357e51fd8cd28", "ca4681b7768c2b1d30adeb32c6f0b3bb9db1653d", "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "80ce72984af1739a4f6d4c972dbaee62fb8c5a74", "02b5e16ccecef823ccd5409fb9ecae31310971fc", "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "d6ab2fd51ce0139bfeef96cdb7789ad3a799f62b", "711b5758434dfa03ab9da1f4add4077766c1cf27", "03d37f9c8c2f6b27840767ca5dff144613f6af4f", "20e783a2df0486cd1c8b6b59fc76220f5718b304", "0e8cce2c7050f1b28422868d2af78dfb14ec0cbe", "ab6e1ffae59c49b737bca925449f9f3285d5371f", "ec52f9e75ff172e290d552b639e1369ed75e2718", "b7b9196227cdf2f55bd5b6fac373c9127ccb7b57", "0c427edde7a1c34baeaef9358390b7816330d0d6", "1cd9efe6179e5f90728332bcf3368fa02a6d4681", "bf3c25349e463c5d238cc60f5373f9218554e322", "18c7957a16609f8794379483b532a6390e3572cf", "1f6478da40edd4a243666a83fc2451388b43547e", "67906211cf1482ac3a46c379d76adaa13c899d1f", "2607455d64b9f25287d4e60cc6a4c6692a4cc1eb", "258a2dad71cb47c71f408fa0611a4864532f5eba", "84df037c77b1565dc2046fc8547e98c68579f077", "109202d326a14467722fa5b72adda07fced33eda", "a8a7441c7b23eca1660052169de2086852fa1cc9", "0570cf84490413941ac68754622d1442d838b90b", "97b86d486c836abbe8fb2cfd8810181593e2ab53", "1f678208bd8d5b50d8113207ab3c6758db8a9246", "19732918e1da8365843191eea1540faaafbb305b", "151f8482da59b2d0ffb6f6892dc107771b435665", "4a25a22b7ed6f85297f8a8f07f2188cd1a81dd29", "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", "506e290247014f95e11dee8146f08b61507d66bc", "09903df21a38e069273b80e94c8c29324963a832", "a0dfb8aae58bd757b801e2dcb717a094013bc178", "4d352696f60eaebf7ef941bb31173ba0a1bb9a41", "8ddcf45e1fe5f1e528018335605a6e66ed30e68c", "ae651ac14805f58a9eb963e484cf3df0f07a76d5", "69f564032a66eb414d003eb277f3630eeb5d1b27", "8f9c1d3cc79fba333b97e638d817c6bcc725db9e", "61eb42e978a99357abbc2c64fa0d364a1465d7f2", "6891fc343ed8b7e530b041eace4c21d227901e90", "e1d262f22188d71ef9ec1e178ed235d025cd4a98", "2bd0a810bed6e37cf5f6441ffc3477319c3e633b", "4932b929a2e09ddebedcb1abe8c62f269e7d4e33", "759a25606bcce2c2fefe7b83e091186a0c521d13", "f6f4d887fb62d33a9a18cbb7bc58bd6247384a35", "11b40f51c156c82b6defe0717698bbb2317b66ba", "896fc7da5a0b8d680c49aed01db7370133edff37", "7f0ba275bedbaa285c47bc3bc89edad5c7d9bfc0", "183094b5dceb37bdbde9805f1960503aad72ff8f", "7fdda2bdf1e4ca717b9e8c57f7900a2a24aef52c", "ce3cd202d7cc974beab3e101231db9ef74c6bb40", "151b6c519c77cda9ff5542fecee166a166e0928f", "0197b45de121e60c7ca13837515f98d0f6d73d5c", "6eb4ad8770da756c7e7aa432c8aa2c840b2285f9", "1a51c0f5f20d3abddc01dd1f6a40ba75a6164459", "2c5a27acc157efaa07b2f34651421951bc724c95", "b73fcfbfbe15f25b3e804cfa30420a3e27b3262f", "0ae69840d9dadcffdf13b0b712f89050d65559d3", "5b0552a8e0ffdf1b6e7f2573640f888815391dec", "7332999abebd14f8518fa2a64715a1ca4cfda242", "97d3a8863cf2ea6a4670a911cf2fbeca6e043b36", "7f386cdd37df57e4d00b75fcc8f6c7a04d17db66", "6c50dffd2c9c96bd868c79ba20260770ee5538eb", "845c5e3f264d4a5d660ff0abc81c84778ceb324e", "833e8d17a5543c943125fd2175e5f455bbea3cc6", "3eff18934f5870b27f80c8b1d7104967460e3035", "588a21c28ea77a71efab5b2ed4f307eda49b6d1b", "b033f83e331e80efab458eb903cedb69510e8b1b", "89b30aadd8a2e7f4d97b7c126128853ee1c0c251", "542a2ddc53d80d58a8791ab1a72dad660035e114", "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "06ed31fcd78d7cbc86dd381dadcd567bbb0c7698", "dff2a734e5a684a5d9ccb3912b26f1503ef4ae35", "85e823ebb0c3e84284cca7b78a5f73720531ee81", "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "b3e6e4bed1b5f73aa114d19dcab214661a1d0cd6", "be19dd880e5f2bd7a4a9d785971eadc871a65195", "3e16c45327fbce52237c5b1666eeb3eb7dda30e4", "017297b68f49716bdcb64ea3b2ff6c490e4c3225", "76d456bb92f8fe1f32d28f4ba3e400c8c5ce0b4d", "f9ee16257c8c749c884ad8146fe57d85787b6430", "c99d03a41ab5dbfc01e641049945525d2daf680c", "4650ac406a79fa59ff147ffabc32e80c5edc1cbe", "e6cfbfeb178e7fb35baf3215626705c790b7605b", "538b2e084a8e6d2e461fc4556cb46441307869c4", "a7817a19ee8123026491b6389795c040e6040763", "5f726502ae46816d3c4ca41fcbcf089992349750", "bfbb51b27363f83c6b043e0d7938df927b7e9574", "13c72c593f1992bee50924677628e7a8713d9af1", "ff7a6820316f2606b7f7c8a07415bc8eae6587af", "3d6a22c5574d1a6c71f93bc43197157a6a32895d", "da7fc2231134fef949882bc193bc1802b318c6ff", "5ff684231fe006d9743c6ec4d8dee5dd3f771031", "c40ccc2fde6a0907e4beb27e7f1e34e03f98600a", "e1bd1f70e908bce6c9c4e6b1d7f243eec8ca867a", "cf16ec9441fbfdcf0ec811f25a2b804f562c9958", "4cc2dc6e6b1f4575e86217a13b591f605a12b825", "c9b958c2494b7ba08b5b460f19a06814dba8aee0", "5d8ea5ccba2fa8d1f9f3342adc776ecde5f82d32", "c27ef63f9611c5ccde35d25344b25205973a9c6e", "0ed925cf92023466bd6a8ad886a805b10466e189", "604ab308e9e007a5cbf180b23abd9bf3fbcb821c", "51e2167cae2e257aeeab0ba6600227576e6cc436", "0566bf06a0368b518b8b474166f7b1dfef3f9283", "7549fbaa8911c499ffd0d1ad9013a72eee5d95cc", "408f6724458ef2b2d19636fb0b7b05dc14c4cac3", "523573607fc7b2a648e0d508d45fe801adf6d8bc", "c8e60dad2fbadb19967159f4baeab41fb168d796", "e278218ba1ff1b85d06680e99b08e817d0962dab", "0ff48c41af4648101d8c68d23c811a9af03c8966", "73c9fbdc05f648ca8f3c5961a91522164be10ba6", "b05d2ec5df6c24cc44b6f7e889e3cdfde4171a4f", "be6facdbc38e38bfa059b0b11df481c400b6441e", "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "a55720941b745968d06381f3add31c491c3465ea", "f2d7e59182fd5e40b4c961291306ffc5c91cd6ca", "6c06f959397e990e5d68dbcc85cec8b96b4c5c2d", "152724ee2fd8b7379f75a11bee72ecda408c341b", "e49394cc047ad261d9f3968a4c6d1fda4b5309be", "c80be9b548f83528e166868565ecbf3581d6a6e9", "cb7361a2164dd76f889be9c60a2e8d5528011347", "2d2f2ca5b294b99a0126e7ea4649567d3d4cee16", "4e6c23835189943b1c830eafb8be1c09889b23f6", "76be26b546b542c9e0c3f6d47bfc9b27d8106982", "0b62ece314846fa257d76e84dd9d002d1fcd21ae", "de0aaf8c6b5dea97327e8ef8060d9a708bf564af", "4709eef3f059e13dbd6752dee809effee56fedd1", "b58852921f43412f5ed1616135270572b5862107", "4e4746094bf60ee83e40d8597a6191e463b57f76", "cdc535719aa041b7bbd529eab4582619a04b706e", "27fc0a33e12acfea26ac06c6f6325b70db13bdd6", "9fb043439aaba12867f01d37f37b16467386da74", "656426c200766444c8b8918af71c62995f76253b", "85077c7a4e2c9b8a1d35e26231358c0986710d98", "0484e84b9e1c63caf683759815f812915c01d0fc", "f8599ad5332cdf2c9919988ba300bb4b438b5834", "749801f4796e16f8ea4f20b4210686d94daf2972", "40010e1918e1f342b14c8ec74e570101f07471b2", "6cafe39de962a125c8e18fdcac12d166575cc38c", "aee92d9db9c313e321336e53a6097c57cc0853ab", "bb78fcbc009349ab44785ce78c7aaff3b79e4fd6", "23347ef3e4d7be7d5b02e37de829bddcbfcd232f", "4c03ed26bbd189a895d35d87534cae45d8561220", "26b5963909aad2e663e3fac0c66489bf9a78e34d", "0429c701ab694a8d8d7e780516bcd0ca47b50855", "60eca89b103bcfb286148080e73f77acc39c7196", "80a3ad1b4ed56d86c0add2ee6e0011a2fc552df1", "2b2639ef3220e13dee1a9b477572711a3f2d06e6", "7d22e93a47fd080de2e999a4209bdfb483b8b80b", "c5de5bea500834d355c7ec00287d3b77a1a5b018", "2a7d502debb9c95780d31d7e1b49f6c116e0f046", "1695bf2608c13ac4463944abb566a2774b082446", "323eb410e0d0978901a8baa670f905f280ab19ff", "1633c30909f4f3d91ea4256c76c71abf62a52bd8", "cc1b21b61bc51a4c4c5549cd7d4e42a7f18ccddd", "2af091bdc1235e58f13d8021fd0ad9b96f89c0e9", "11a3aae9b2c459a4a5c4cfb2ba101df0cea3ccb9", "ccf5a4ea6c7042ba025b03233b513fca08284e65", "1d7e30b2db63727b7862c982586537481c0f7146", "11bbd7f162c0e5f1f00abb08da327b2c9e711b5f", "4c7659079b3df5bc746f76b2b1685b0b539832d6", "06466276c4955257b15eff78ebc576662100f740", "4702da6f887d9982d4f74c2377f95ffdf935f4ca", "071680ca97de050a372ea79f2b99f102bb3ca6ef", "c564c28f86279e218f04412fb21efd4303c648a8", "4c91ca56283200e150c1d5a71dc73234904d56ba", "0809b4e79dbdbbe7c7a16d60dc30db405992c598", "8b93411d0321918a545c1bd820e337962ccd6f4f", "24283d553914b7dce704de22a018b887214a3486", "defdf6dc8af4f11e6d040c20892e60b3aabde176", "c4d2f47c859c330a45950f70fcf81888af901058", "e67309a0492c195b706663dd90616eca7c979e2f", "824b3f3c1e537918868a9ec28f0c2d2cfd84dc57", "56676f712637057e230b2b842b9cdef2630c9af2", "d042cad2eacab630ac9a514e84a2c3a1319d02c2", "c37ed292e59790a4cfe9cc89db8bb1ba4775d967", "36cbcd70af6f2fd3e700e0a710acd5f1f6abebcf", "888d98dfc312400861a89bd433492094dbe787de", "c7f98d6973a5d07eb2a7a4d07bdb13fa3e4a6d4c", "00d9d88bb1bdca35663946a76d807fff3dc1c15f", "81bb775a46b6ef4e4bd6aa7bb2762113489f809e", "628aa81f69a2539e601d822de80169a244cafd40", "9a24fec4f14b6d1debf6a3895e74426030683b47", "bb9686ea6f154a64fbdc3551fe223da42663baa9", "95e9ac6db8015fbe5083c41e6b8963f881b21016", "40f2d2638c9a945c38e4698f33ad33d32213a50b", "1059729bcca57731c81d8a9c866ceb8ed3547d8d", "29acb73f1aec78996d77eede7a7b72e892be9a84", "94254e7f2524985c78f050bcf1a5793a1076717f", "f458105738111ff04ab930c13b68d11d1a4122af", "26293e04a986518e8445059e02482faf530f5bbd", "0170158c227ee1ccf0a6a2d642699ff184c84bab", "c4d5c7f4fa8d5d28cee529984b2ca1c6003403ec", "d748ab44c4ce2679027aebd5456d7e94a3924edc", "26288af02d522e50308ef8deb2def5cd3fe9878b", "a59436cbd6bd8b6ff4ff754e746fc2509191537e", "3b1fa9a3137bc5f8474a39ab99f98c6b783acce2", "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "da2549e85c28d92de907076ecde277cd4b3d27b7", "662a88ad79e390c2436ee124f03c5b5763074498", "4aea5326c2f8cb29b3aec4043156e3076b915815", "0d44b57c5db0519443264a1c7ccebb5a8ab0ba5b", "11aabacac6dba2aba621d604993afb7116e1d4e8", "936a4af585f9a7d3b95c078ad31e8e41e22cb406", "3dbc6271e7d4fafa89106e2a85e9deee19e9ebd0", "771b7d76df1ed476dea859034a276f14ad1e49f1", "03ee62090d89cffdd6fa26a12943c9eaf1de5d79", "b8c62ae9c27111c1500768e32c156851b5514a70", "148cbf752f1ea757021a2e0ba260db09531c23e1", "e5781730c9f1c81b08cf4b4a924f1058efe77908", "6263bc7ba717f848024126a2999fbccf7bae4403", "b58306ee26b1b49afde9d4ce5f6050f3ce588874", "af13629a536b1499cec1b03703b69f96efdceabc", "df84cf593e7e20ac0fab44b647db08d2398cdb13", "2a0a33b08eb146f63bcd35a05315d0ce90bdb940", "9e51844b7568453336b6f76afd4d4c5c8b24a478", "267a3faf16b12707bdf218be22714003efdd3732", "9a0f55d011bccfe8bd21b222cf355921ba05cac0", "1916a795d293aa3ddd9802ad5b5d50bb4a59b98f", "f5b3dcf24ac6648c5a71581a63c4fd69cf985f92", "1b503c21d865d3c57e14bfa2f4fddfc29536625d", "000f948cab1156b92ab35886ee4eeaa6a5e4da1f", "02ead663aa1d3e52295bd8464206bc82a54ace18", "1946ee514dac2bf70b1b0181784dafdbfd8d8ac3", "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "5414d792f8b9dafcf58d582545d3e7605b087ee0", "14f9b9798aa3f2077d4c16d5d8ad499283b3e495", "d4dabea2a8e3db01846bd14c03ab1be4884ca75a", "662334fd605487b8765c13c649cda9129e908d29", "00c60f1f0ccdab6560aba012c73ea291a13ef192", "aff59c4c4fcc19946ea48a34752e807b0621ee42", "4a3a9d02999fcf0895db31d644f40c98254ac4b1", "193debca0be1c38dabc42dc772513e6653fd91d8", "3947b64dcac5bcc1d3c8e9dcb50558efbb8770f1", "4b8f420af483c4673e0c6e7d0dd4bc15a6b875c7", "2101a169125030e58f3e96783f5f2cb013046ecc", "6df3dc585e32f3b1cb49228d94a5469c30d79d2b", "1b69e366df34ff18be3a5044340f726c40537998", "de9de9609db4ff023d8765f4479983227ecb8b47", "231bd67ae76602fcc86583122f9ac0b4f64d3de4", "96b85773f06720fa25c1bd6e4290e22d1d23f815", "689f0260b1ae60a553d54b28a075a210e9b40c94", "7b60adc3420c3aa7cf92b3533edc0794d976b541", "bf6a087e7b6fb84dd4f54f3b16950ad577e591e0", "56f812661c3248ed28859d3b2b39e033b04ae6ae", "779db93204bee4a9540db1e79ceb0b45e5af77e9", "467662cc7c78035f89405f50fd97398e194b5110", "9667c7cedeb9d003b241c16c32255cce14460f54", "81c820ede111830e9ccebc3281d1c4300ccba9ac", "edb8cf4de599e7e4267403e17a85cf82f8751b99", "9535002d9838a04889331ce90bbf0aeeeb4bdf00", "d407eb5249871aea49b138d7a54fcd3df9a0c27b", "9938945f9898f2f95f607428e6d5a1eeca63750f", "becb704450c6b2f7f57f03955036a5b66380b816", "ae64e511777404f9b28e7d048765eb7252a3b83d", "8587215eb286423ce5eb0002b186da41e6cc6eea", "f9fdc63934841a0c4d8d29fdea80e1972ffcfe1e", "73dbe02e590fed82640c46129f64651fd1b33c24", "9c0cda8cb2337fb0cf78051bd0fc6b086d7efbfc", "4b215519d7f82f5e4e097f92ec35eb5007e954c2", "3687d95a21dcc5521d3cf28dd9306658ff9226c5", "f5124fd224ec921554a7ddb13a84a738be5ba057", "e43ba752b64fae54fe4d217a31d0529a98ea9644", "8a07b8b84cd4df7e4e20dadc5b5e914fe0e11162", "84effcd6231cd9d1e39767491403045c98abc3c1", "81cf36452eb8d03c8c28fc3d56a6f305e96d4974", "2bda0068ba4d214c0cf727b18b96f4c19524bdd7", "98fda276c9f268ce65d2cf55e1876d1de6f05e3b", "301de764ffe31d00f197abfd4cdede78cc973e3a", "274be0f6a343c0c75e792f4fa9f598bf7d1924c8", "78780c2c0301ee23918462f05b0b52ec1eca016b", "7783095a565094ae5b3dccf082d504ddd7255a5c", "7bd56cddfa13df19f793061016e45a856c72d329", "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "c3e4ac8907c4009250f55450759837f02dfc89f2", "9cbbb518b2d607cd3a8081523550d89623490cd6", "a18e811a27429ab8f76bb133db6226853d554704", "1fa5273a701ba25821529fee21493b0424eedbd8", "78a35d6f5387acddb5db723b5aee8508d062e680", "3d3073854220455d0c4b61d626bf601c9748f2d2", "1b5a19828a1dd486ccab1e9c107dfe7bae20cfb7", "756ecdb4a87ee1395a8daa26d26de490ef47eea4", "85314e1042bea0a55d908422484d403a09cce46f", "6f3b511729fe87658da0d22065688c42bdcd1f4c", "82e429eccde1bc2de66c465308468622cc2ef91a", "eb3f47ed113752eaa4c989bb92aa0e3e4e0bf339", "863d15ac28cfd4f111891bedae3373fca836fa6f", "96bac745855cfa470f34ee46bc6315ef3729c3f1", "086a91d8db2780a14a21335260e97a9b7b27f546", "5a3800bee147ad58ab7d6c55d8a2be484c17a511", "4952eab1d9eb457a92190b5c33d98839c27590bb", "6e09a41a6de4011a9e9e1424c530dfa18fccf08e", "8b4b189cf7d9a079832f1cbd2f7ad595d5d371cb", "263da1c074ad3527edf82bba0222f74c6f173973", "c2864a3551a3a5d41474d06639815939f8439add", "0907bf3a63f121353e94530133e2dd087b831dc6", "d66fd730b1792ffab1e832e2480788bd8aceb763", "fcff3baa6149f525b5675bd081a9337bec5ece41", "94e6d270f96778856991ec66ffcbef731957ef12", "4eb3ae4d9ba8cf94971130341cd1cadacac3b27d", "5a707d2c8f10349c37aacb776c8aae8d933950e8", "7a061e7eab865fc8d2ef00e029b7070719ad2e9a", "498f312acf7ef8b60d3f65bf5c440e9d15915b38", "ee6c2233ea56bd14a4775826ecc9c0bfbe16ec87", "86918959311b077fb1d5c9c14f4aa263260c47cb", "c93dd835e1c175f78ce1a1f6fcd212fd3920f755", "69aa599a7618c4f095ffc9c782b4ea67df05de2a", "dccae0dfd5b10ee25e534e70acc52804fc030d0b", "44eeda423bf6c1bb5eb73527d406a78d1d0e6fad", "8455d208f43ec69971eabfcb28fddf64c3c9896b", "dd8c45baaa6aa112e46dc2b7dc08c4ef9c1d0afe", "ec7d69daa4f0f45ae90b7872253f067556d827e9", "2a69c47441b823ff589ff7cba0df623af31c77eb", "0750c796467b6ef60b0caff5fb199337d54d431e", "16a0415a39b0640d2f303d7fdd4a80f5521bb404", "553ec63f804e578edf221ab642a1f05612657c22", "ba74c078fdbd5f90061351307da292d36bc18d5b", "e412c0891bc40d68f12a64772d3c9eecb3744949", "5cfbeae360398de9e20e4165485837bd42b93217", "74ba93f347635ec4691852eef76791c463abd103", "35d181da0b939bdf3bdf579969e5fe69e277e03e", "4fff3f15b48e8e46280798df387d3dacd193fa1d", "a46c9dd10178c6b8deb258d2fbb28ba9d4b82523", "b7a947c8a036abfeb3b7f54061b3932fd6f3ddd5", "b36e945243d56fe25ba83821cb56aabb6bf92979", "4075865cd3474d397382d7d83ca65721668ceef2", "f657a6e8070d92659e28b32d47929d00c46c0d6a", "06046fcc31cd0b8062f3ea2d568e561dc258921b", "09e1072c509e1d24a34dfbbaba1c3700e1eb1338", "63507be85497d264be2c6e11aaa66def8bc40f6e", "bb346fb120e3c90038f34d4f669884adf5233722", "77ff558d125b574e3f850dc694f56213f4441590", "1ea7f7e66f50b890f9e3bcd8b28659316fa30cdd", "334ca0a146d466cb1ebc38d13a2dc64e371e979c", "075cf66ad598775b31e13227effa2a944a507de8", "7722acfbb0cea8ff80ba355f00cabf02f1f2e0df", "e2d37596f1ad4823fe042f37137ff54048231de2", "29b8a236d2d0eece038f62a57d8ce63c7819b40e", "d3f9315e29e1cd24326257972f4769249d4e74ca", "09255414dac54b5168977d2bc871b85cb88eee50", "95288fa7ff4683e32fe021a78cbf7d3376e6e400", "508eb5a6156b8fa1b4547b611e85969438116fa2", "c4a2da0fdd20bea8301c7ff872444e00672e2de0", "a00ce39d5a2ddb903b3a4de9938d0df0e21adaa8", "202fc1f256c62288b150d44152ea348563970700", "8e9dc84107d25671559e940dbe548e264f85aa35", "084cf3858b07d64fc29cb7f0f4dc0653c6246d3d", "a19a92c9cc5724913dae0e6ff5f8b8bc0c35dbd6", "4dcd40005726e66a0e4ed33635b38bb8107a671a", "e8df342efc6f81e327149295a22aa973978ab99b", "79617903c5cb56697f2e738e1463b9654e2d68ed", "d690c73221aef394d093b26ed54cf13d9be15f62", "52ebc9e9f3129f9a4f5fd79221249941479be376", "d9c4b1ca997583047a8721b7dfd9f0ea2efdc42c", "1f88427d7aa8225e47f946ac41a0667d7b69ac52", "68f087acf865a5d800200199871beb286b5a7659", "c6e502fa918beeb033b9e7f6d0de83d55fa59d99", "45a44edf54064ca4e6b14a51bd1303313168af3a", "651616afc04ccf20ca2c015b2f78be98ea5ee24f", "b41080e0681d2213a7122885fa4816d9f8c19ff9", "64d42a977f644e1b2d0e680bc91cf5e5b3cbf034", "5638516780883fa91827ed095fe2ace103a2f941", "715cd420709395818538465091f4a5cfc12c4a86", "ff14098471311d2786b1d890e3f7ff40f2835036", "6a4ebd91c4d380e21da0efb2dee276897f56467a", "b346d614a34ef9d267037b796824311ee6437c19", "784cc0363d44bf09f3f636abd1a532ddac95ca13", "bc4dcd80a647dba602651f078e056042ba836e7d", "c877fb881378393fd8a5e9d4f7abdafd7b004821", "e6d03614632804429e55e3691fa1d74b0e92b531", "29875d51da4063707a5e16a90493c69be6fcc006", "850d84e4c73a8f0762c8c798b2b7fd6f2787263a", "3810b6299140bf2c7d6d0cced765c0777d603923", "79887e092becb90dd7b5197f93605be209d3710e", "1b0548e52a1ffc7ebffe5200e2111525c9f7fd4a", "acef60b233cc05fa2ea4700e1eb22273bebab77a", "26dda18412365d6c59866cf8cbc867a911727141", "f99a0d944c3b8041332f3d0ff67f984e29255c30", "681b6e96f3bfef39bb44098badb3dc43311f5857", "0f6fb0f7b5a24385f989100388e4121ab84bff42", "2d83ba2d43306e3c0587ef16f327d59bf4888dc3", "86303054281ac3d593ebb8aaed37218468534bf9", "47b6cc487a7a257c405610b5830b67f30c514922", "06e95ca55197500eb5363138dd18c80e7f7f801d", "8f595e03f93640d25650b34b35c39156e42c1052", "5eb25ec961c6a86c93001a44d38b3eb894e7e5fb", "4c91ddc8d4f68bbd4ef04747443c622dadce1097", "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "116907d7c3602f06f2d277ed77b63b02dba8d454", "b1ace8d8e60209d9ceb5ee0fdc9cadc395392504", "610a01b2997c1705213d42b796607a31a63a8e6c", "0145270501ab2812c6e402c6af8b80c6ef0c6b17", "d60e386a44a7b841fc9f4369d5f71bd517a49ceb", "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "ef59e9bc97205237d776d553e304f4f72e418ead", "3b52357706d8670b8b35491cf1e311f240c3ca08", "b3b89c23b4d3973db3be9413f64679c5c1ae15b4", "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "0081dbce2c29223b9713a8b41a93852c5319ea9b", "337c846f206105bbf2bc31926f973db1012bd2cd", "f0f501e1e8726148d18e70c8e9f6feea9360d119", "28d7b900aa8c48bef81db589b6ef76c639dd8c26", "3c78a53fd212b80ac7e61e7713d39e458abbb026", "7147154adab91d815ea42eb0694d139e3fea2056", "407a5670b7de60893f9d6e46b2740048567e410d", "02aa3f8899ac04b29fa52cc3c282b1c604de9685", "322042ad339d216f8f8da82ca0b79f73d9df3019", "cea41672f1e169939ae82ba01a872dc2b353106a", "012e46ca4c7927857fc00813864b378f7109cbfa", "29107badb19e7c5c89f57f81f50df08422e53304", "b030f6b619e0f5fac51f8cb4933a4baf281f0798", "6452d294af27b1f9408c9522bfb98bf00e1e4732", "c413d55baf1ee96df29256a879e96daf4c2cc072", "3f1d8a700a193c8e27992f2c26ff8325b878b85f", "8572f451a9943f0f653b98b6624f5cd2512c1a45", "72b81533eb082709b1fe2a6a7ecba5d2ed7fe22b", "5fd6863a59e88b45f62e82bb72dff3fb52c49be1", "d5e4d4893ea8420df2d049e888dfd314a65cf4f7", "2f07ebacd09c805787e41368b97147b5d4823172", "af3c292acbd564f4c641e0272ebbad0af6ab61ae", "e8d5e923e88bec3deec7fe5132932398d5dd9067", "19ededafa714eb41d72e6080fe5771199fda8ae4", "0a023c35b0caf38c4068e0044c6213251956a9e3", "0a2ddf88bd1a6c093aad87a8c7f4150bfcf27112", "dd6a34ee3408bc8844f6fa388e0e7287dfc03c5f", "2809f39a01d7292fd680af31b19504763a3a20e1", "f9592652d962f470d539d42e21989e71df943041", "bce0db9cbdfcc69cc905cc667f9642e45b05caaf", "a79e853b778c143b39ff6406a54f6f68bb64364e", "c86ee85f46736566d6095cd00b1370a27bdd8ba5", "5ea94b5e58c7c476c8d75b22743a3f98debe44cd", "044ec8d2929e703a161290d651fcfbd0a6db7151", "1f836edb0c0421dfb1b14813da59796a64a87466", "0e824d7f2708fa1f61843b8d39896591ec3c4ed1", "1d2e33bad29c525a16b2f6651360de6eef45cd1c", "3e819b354da79f1d7d3015eb8acb3c4af53bab4a", "04e2b2eab1966ffb0079685baf169d4d7ad4ec8c", "fdd32e6cf03a90bab09e11bb4f1491f570b688b2", "b7664b966f00c382e3c8cec4a806d182ba04e298", "20df24b98f983f4de2b9201af260dbce730ee70e", "e1b3e21281d89b6904da86c670cf7b529ea9b7d2", "3bd97ef0fa74e7fa776992afcb27483b2e77c7c0", "339d7ff06217e5f212ae1490a9a2db55bfe589bc", "df6934f32d0b9810ba29a8155a7712ed1155cf9b", "3626401bfe9898de61716651582f208e260b9c38", "0222bbc30eccd824032c4089ab86d75057048c29", "c9f588d295437009994ddaabb64fd4e4c499b294", "f3062992cb10107b9d1e3699c8a61d5281886c4b", "e0ca16e4fd31e7a0886ad92e3d2c44bbb55a13b7", "715d3eb3665f46cd2fab74d35578a72aafbad799", "e0ac21d1ce795d565a99b61587f78539ed5d9476", "e05dab064bb1753d7c0ddea9e80405661f34e931", "f15afde8e26cb0dccd71c6dacf2a88fd5d4d69f9", "59691415e1d23d985849da0bdbd1c51245710555", "f1ddea510a838300c107194910b8f99d98c07fbb", "7b455cbb320684f78cd8f2443f14ecf5f50426db", "60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad", "28ff4c98b7a922f4502c69003f686fe0f94083a6", "ba9826d9c3b19bbfb4f692110127e29932e3d0ae", "7fbd2cf032ca4f390f1699ec6743f55b60e2bb4a", "ae28b6d0fcdae465d92707c50aa2e20fb7321e6b", "28445005727d68aa2706a27205332f92e2239470", "8f5ca896cacd7603106a148d8763c18c9ae746ad", "627744e969e3881037f6544d6edaf831aae494c8", "10f641aabdd8bc1eb87fae74c63b814d8ef274a5", "2163d8cfafbac93ef36b955cf7f50c8ff589d3e5", "ff8e40e66f42b84d494d09c3726b8492c916ec63", "647191a9992a2670cdf7ec706893bb8dbc17aaae", "5c177cc55835126fc2a240a7ffcd9a5f4bab4fb0", "d54bcfb162a371e4441f207ca005b8aeee3d357d", "9878a29e32a52292656f137f2a82cb6db80dcac3", "8a85e159c0a5f5e8961bace53ed370094e55ba87", "6ca9f4dd586c0d038bd82d22a1e298d8ac00af8e", "583025ab1b1c68937bf58e6d6d2873103b4ca56e", "dcae7a4603897edc9a9bb4236b01c4a5a3b21ca6", "995dd15671993b2165860c54bf5acbbe421c5f45", "400b3e50a977c49c7486b53a880aaee5ead108ff", "0683be899f3e04b8b55a501e8ffafc0484b44056", "fef5ae23381369852a59578afa5d80414de68b83", "10ac8e3cf81b0431948e2f70ccf65a0c931f7a45", "291555346159ba4efb753c057be74fc039cdfa7b", "f402e088dddfaad7667bd4def26092d05f247206", "815b9ac1cc300187f649b2b65f6e34eb7a35d2e4", "18c5adc17572ece99046fe6f6ddff047c738763e", "507660f778fe913f6e1957fe39a87cbf50a52b2e", "0f7e4a53721e78fb2c77259b5f842d99b990e20d", "1f018bb3d449e7f7901f73b85cb93d06201b2dca", "989226e11193ae19ca0d723e902101ca0f4b50df", "ae85c822c6aec8b0f67762c625a73a5d08f5060d", "8be4b7d8d1a09c05411b2d135fbe1590f11d3798", "9826590f8015153a2a42d9d46fbbe2c527f562d9", "ae620eff5ce7aed89036dc1834e175b92be089bf", "33adc513c22691e24d2d4f6de70217894d545f76", "9b1022a01ca4ecf8c1fa99b1b39a93924de2fcfb", "b63d331c081e78aa86fce353097f76fddd9496f0", "6f1a784ebb8df0689361afe26a2e5f7a1f4c66ca", "b3aeb701826cffc7c5f1b4eac618449e0f18202d", "f734535eed525a36348798af821896f319f715ee", "e688a6535dbdd6ce6928bc4eb2978f39628e5302", "fb72a857c85c40d3a4b6052aaa292dbd26b178a3", "7d3c52b8b69faba23990acabb0888964efb52213", "0bb51b6246f31e94bf8db43302564201400a19cb", "e6dbe0c021f34072791e12a58403da095600b1e7", "fb376a1743a62191f9c6d2b6cd9182a7e6223dbe", "5877d30d6d23ca1dc14e84c5a87fc4d68329d884", "de147fb41414273ad7510549ce0352888550115c", "a93ddf304502fa9ca151d61f512e5682b5364d9f", "477caeeb7c953654a891a3011f3bcfaa6a68ec75", "2db06e75cc7b85da07a1462f0349e99f64c1e144", "2176918751052838fb1040a31ad5b948ec7c3e4b", "4850af6b54391fc33c8028a0b7fafe05855a96ff", "5bc5285bba9659f6bd98fdecb97f01a5f90637df", "50c5cd1f0af228beb5e19efc897e691c1493e509", "afe72b961969d8ee6cd0a3c6db217ac8d305e685", "89b60f2b798bc488da4248c9d975444d11b74507", "0a561e6f0aecd182ddaf526220acc75f6583816e", "85192977775e1f1001334a13de5d32736fbfd24c", "32d6ec2810b52d1df128be51464bc43b53702232", "aa019ca2bebca93f966b345bf064dae9a7489c3e", "7af8fa8897c6f1ec1e7f9eadb01f74b48c185588", "4f61c7c3b768acb00da176d124adc925b84b0489", "2fa710fc518369662fa6437707408c40fb87bc4f", "09ef5cd40bc9dcdbdd2d3587b0efe25551d25618", "8f74743ab435469ce35c17b07a97a19da1b77955", "f1a746af4c82585f2b9d7b9cbe1c23c5cf5e3da0", "0dba5f321a154fac2f18eff514800e600d82e078", "8000a92c373903a8a2002e279014311ac56ca05d", "2e54c4d86e9801af1663265c0e42938358e8eb13", "3159647c04ff22945a534a48ba592ffed55615e9", "edae4ef18810e766a5f0d0515b9e75596ec71548", "ff3eb95772b1aecaef8c609f9153cefdad65f896", "7004cdcd2995b321cc5988ac3f3a0eb72e425cf4", "e010304979c869d6084fb3ae902e48bb44f5fb73", "b1675b1832e1d0a538af4aa7c66bfddf63176855", "ff1cab3d74173176aeccf0f27d5a4973811875d8", "c394a5dfe5bea5fbab4c2b6b90d2d03e01fb29c0", "77c220415797164f44a0748403a07adf6d9ba4e7", "6e2e6a0bbc3b82645b83a383ddcb513a49538e98", "0bf4b3162b9bd5fe707e6a9eaaa46d79a9199fc9", "1f3e4ca2a9000e75c07c63e845af5d5dbea19a91", "5f9749e84735579204ca400944e7e640955fad20", "b859c7b8d9db3a952479546901aedd059ad5248e", "45d26f93cc6bbb33d29eded4819cb1ed0ff2458e", "3f0f3c2bc151ef91959b06442b9ad80d405387a5", "516f5becd2b673b349e0232732989e1db6db29b0", "1060e223710a9472ffa5bb68bbb4d629014f7dbf", "8b88d05ed47b93bdb1350e7d26b3c47c9817e624", "3bef3311fade98af233b4f68d9ac5975474eff8f", "fef5c091b122c715387d61d4730e44476ff9c8b1", "3fbfe79299b44f52d7e758406042240562f18859", "932d67d450e0541839a72e2f4228199ed08563e3", "c1b5448aeea9ed22e638901c0b54ff7942e5467b", "fd23502287ae4ca8db63e4e5080c359610398be5", "27c9cf9983f402d823d1414d7f19bc2127c70424", "09e9ce783864171868a8136dcd8644e8aa8910c0", "0e61d3e6e27159e51d3e7a0813c784e95a0ce7cc", "37f9637d72971c9e8c3788ba16b00e07fbee97ef", "e562fd7196641aae0d2452249a9dc87cdc92c972", "9b59a44f9ce90b1dd4a6b07242f753dd17d3e25d", "19fd0c7217bbf0ca4730f240040e4cfe7dc417ce", "3b704045238b116920e6801010a39b31c8884178", "eb5846662a1c15293679d5fe39d3f2297b602c6a", "f8c328104d27d7ee6f0ab4f63b1b3ca9a7ba0531", "6e6ecf7b1ba51a5f67d044cefac95f92d142edff", "bf4ec5068e6ff0b008a09f0c94bfaac290ae7d3b", "dd0aef0d44e740580212d6efb5286446494729ba", "de6ee9a926b481d60020c86467c3c78b71b4a436", "290bf96af4c6d916f4d2a533244d4918492646fa", "21439d5ec155b8a66d02f35386a5297c8feb52f1", "1362b43a76412ed9ac67fd182a72b9457cae5aed", "f69def801bb24388468a5c3c2fae3f613cfbc6ae", "73eac341e32f90dc35245496bced04a8bf0a03ca", "51c51b8aa2ee43aa3834c5aa5d6e051877e8c423", "e7d80ba5f259f52f77cd38d7fb83f5b751a87022", "a45eff428adb22acba8984d4de95116d1f9b0920", "866213354ef2125bac035e026f86a6af36218c8f", "cbd65299bcea07204379a2711c22fd9062172b86", "0ea59d57b9651b7aa1c47ca96bf77bd65513cbdf", "015c231d25cfcb4b0126e2b4e17659630d920ee5", "c1177a27ebc50019abc46b4c316ab2e8eac2d694", "97ee35db6b389a7bcc4b7975d12dbcd165226aad", "fd6e1bad0ac7e1e993b12f82e4375762ef8321ec", "1697edc5c23feb0f4a0854ab736bb95c3a2245f7", "ac709c72bd3e052adb4c9f3ad7ae234653f15196", "42c40c668b5c0c28f63915b069641100f4f0e39e", "a32fd69ad24abfe416748c8043dd8ba0267b4516", "62da0b7c15387af920c72e912f1f796a71f13b76", "f22e5059bbb1cecb30665f8c60369c3e6b20b130", "11e6cf1cbb33d67a3e3c87dcaf7031d6654bc0de", "e8dbcfcad17d9f71fbe9cb175061fd43f77c1e6e", "12fc800d955f137274a8b51bd7d2c46f5f7d7222", "dd0dc94dec9f31ceb6f3622e7883be1d3cf58abd", "0f07dcf92588945eb0d70893cdf0fe4a48552763", "8de4c9c601c3385712b068e328871a99a4f32479", "35ba4ebfd017a56b51e967105af9ae273c9b0178", "5e5ba5acc7a352f455c228d860b7981b3aebc20a", "026502c90e38697c0b8f9c4424571b7c1608296c", "703890b7a50d6535900a5883e8d2a6813ead3a03", "0c6a262bb71c3a382ff96c3fb5878780de534e4f", "410ad524c2d9b0f833e2aee87a35dc2efc9c8b01", "90d9a0219dea31504fa3ded8bc5a7bf290b6da77", "7e0c82b3225a12752dd1062292297b6201ca8d6e", "993023a4859f9889f30fa2625790ccfa4dd4b1b3", "c3433a02ada61c5d234ebfae44e9ac7ad465cc26", "e9e15e987d3fcf145ad3954ef3edb718367554d3", "b46eac8ef1322bd54b0286cc4f1130a15c9d51db", "97b5d089fb6c7960c54aba50d31a70f4fee824f9", "1eb0ea0db58f530e76fe5bff1b292184126f33f2", "b18bf817aea1f9b5586be935c91b55ff9f4d01f8", "a07c72ff14394b4ca17ab5f7c7a431466dbd59ba", "0decfd45e944b059c177041151252e9f2d676c93", "160d14d4b3248de3a9f95b9e38f755fa9d7fd997", "4c141534210df53e58352f30bab558a077fec3c6", "3d727f95c6771cba6608eb7d3900b25e745659cd", "9de60e4de904863dd22186bbfeff45ae4c161823", "a41db8ac270df8f0dfd51dff30a7365b3e649bb6", "71ac84476210b9bb40e8f3f069dcee94df214c8e", "16649abd95c7329ec800daca37f20483003af060", "00dfd58bbaff871603e4a8aa81e67915b0675aeb", "8c1b20ea97f5be841165b7023956b44d7149fff9", "61187d8240e1ab48627846ff0fcc49cd639aaf88", "7460b91c3f0d8758e621bc8cc77a9b34dbc962b8", "c89cefcaab0b24c5cfd1629156208faa88c8bfd3", "bec2c65a8419b9ecaf04e8c854b5ad391894a6f1", "57d84421b0aec884de771f67b14a7a55fbc19b29", "cc67f1cb136338b50968faba237222193af7202d", "44855e53801d09763c1fb5f90ab73e5c3758a728", "0dfcca18d43d906adc907562c59530712b013519", "05b435174d24b14b17df4ce5af79dc6086a2b16f", "18bf90d6f77bb3731cdae14315c0cf4724f0e6c1", "2bcf2bd59219d89f335cbc8d1dd4f431076b4c4c", "7587a09d924cab41822a07cd1a988068b74baabb", "9d6e60d49e92361f8f558013065dfa67043dd337", "6d61d9271ef677c0ccaba29c5fc5d395dede99be", "3b5128bfe35875d0cead04b7d19024d841b605f9", "853e6d42fdac36a60887e7e3c2417f5d3f26c96a", "30044dd951133187cb8b57e53a22cf9306fa7612", "611ef1f3febfcf7471a5f9164b1b6e2f3720a9c4", "48e1f2d79be1f63327bf63957b01d3954a3e6d41", "90105da00ca0e80c1e90506c8fbdc88d120198b6", "d9f0640716ec25278e6f1a4fdda5596660504c54", "5948b8282c542f8c085d8a78b5b5a075ef80fb24", "a760c4e73292e5ff05b973bd691977fa4e0c5b84", "6c05dc34acb51081469f812034d017372b1c3006", "f281826ec229c67acf772b403b1649c88ee79bcb", "d0597bc9d213875a3b8aad90f6af81168674c7c0", "07f931e8b601644c70215bb94f196fc662fda98e", "1395f0561db13cad21a519e18be111cbe1e6d818", "fb3875056c365efa18e0d96152d177ee677c101c", "20561e7d040f0b67dd820d49c926ac32ff170f24", "ebcbf14a385816fbee61aab792bc3b0e51b283c4", "684971a37f413c8677c42b084c2fa51884277f26", "19075e854e29edce89a1cb39167eb1af06b86fe5", "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "14bdd0ce8bc490757899fa8353b6576b87c9f3e2", "ebedc841a2c1b3a9ab7357de833101648281ff0e", "ab5768dd3c6575ac29df5d701ed483026f8e0bfe", "addab6e00b0c79d89c5ba177ac316e7d175e4427", "872d4a892b17f642072da657195a7aad3fcee965", "87ea22438e33fd98a5bac577598f26a6a02cf8a3", "158a8037ce1c577620550da385d2275a31b9ccaa", "802f377954df39868a157a3daab31a5532742ea9", "6229ffd8d2df3b939e7298f6a89ac0077e7e1951", "08c597fd8cd60316df2f74a443f1b87e3fcb6c30", "90f3c825c248b258f1336d0be6d0f8aac3ab8303", "d941ec348bd2c37c8d9cfff1997b6d3a409e1410", "cccacbc43585738fb70140ee24df8f09c6789274", "9ea11fa479795c5c65eafbf566504fc9bf7557ba", "84d4aa3d67609c5ca637e2e863a1b32e35fcd1c2", "04699260b8cc94fe97113548c145ee138d1b2573", "84809d1e4f88a82755226f9d278fe8da22fdaa68", "ac0daabb618ea22da9f9090bff2071468b9c57a1", "b77902ec075441e71a3698f6c0c9dd704f2d5ad6", "01125423805e2d140ccb96f33c197ab97f6d4902", "7550d35a633140ddeb863b7dc45c3cfb120a95f2", "9880e65a42c680ca00d2726f458f0f1d80d7e1fe", "5870c417d8cbcafb8c44108b39f631b810b5e13a", "651f4a561040ca488470ade6729b92f49ab7a59e", "39689bd427f5668a8fbb3113019c2b8393f0b1a7", "fecce467b42856eadb8dd0c08674d9381f52efab", "655ca5ba88c08dd9916a779c0db5829a50da4d7e", "52ba3a4a3667a1d00a51e3dbac6c33f6b7509d5a", "22deaa0f2e8e054caa47e2a0969d875d2c8fece9", "a49687fa1d90825e29c9a6824ad419f86d327d04", "5522073ebd53a6502cec9d716a77bb2c18aca593", "7f2edf4c111698d237fd967f6a3c9751d9a25543", "592b108b241d2d062c3035b6a5ba827180885bb7", "3fabe1a353093a63b172257209fc7378fd5e03e7", "96b4124cf7626301ed3bb2d2b2233a490804e35e", "d17bf14994a7620d8b14856501b809a85beb6407", "b67e695a0543e44c694a3ef7b7ea98505905db4c", "93af72ca7c97b0122ab75954cfa46d0f9fdb2b0f", "7ecc14967e36d999542d82c2905031e4242217bc", "3109c36a10f2ef3f2368018a4125f5e2981b1918", "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "4320f25686c5be1cc3a5f27b45e91a4f34b3fde0", "103590b36d026928a90eae7ade9d7da318202168", "b59075c420015e91971333c06857bccd97a70355", "3d5f8847e52a7082cbae49003b17b793755ac401", "bf2b886510c9a932c41348a60d1b9c843bdcd544", "81f9f6e2fe3f9079b98b8b9235acf3f55e71bca3", "f84d74c44591c948d50c8943642e1a5af23f61ec", "fea91c6166d7b37d902147e93e8118f92b6cb6fa", "830828a60007416cba8a779e30660572e5ff966c", "63204e48ba703806f5c8947a3cbc4e456a9080d7", "7245ff279081c1c1dc43d50339529553c7c40c31", "766f98300e11d98841edd448018856dd420de2e9", "565a55ecd94713cedc7fdef0cc3c7577941a8756", "af2c07de7f93d74d50264c5008418269431caa01", "5b8570d810f6fbd0bd35a9f43c4a6017e341713b", "5ac9bf91127255820e6ac53fe656859146bb424a", "1cf74b1f4fbd05250701c86a45044534a66c7f5e", "193a93d1291d9c12a0c4a159729bf9797267ca3f", "00786bb4605f9a766ef6d20606cadb4bb1c6eb10", "006415b0ae3ac6ff9a2b482bc3d23ad15e8f09f2", "7ae0212d6bf8a067b468f2a78054c64ea6a577ce", "55e57000d286e7b32634f5a831e67a3c73c66c00", "4dc8b1c193c421f8f570c0a7eac2fc73da06cb51", "25087667f2549da9874574a7589e95ba8ac41d41", "6aef7b35776ed2b86b60af096319b9f4fc7f37b8", "58730d87a71ee10353cc1a44f1fd624fc93f4a6d", "53d62069f115cdcedec90ee6b7249281039f8272", "528a5a134b1339102a7286ee1fbbfacc94ab82c9", "16e95a907b016951da7c9327927bb039534151da", "8a9ad52db203f0090c83568b31cfe969b870cdc2", "ec06832fe5b4c0629648824414c9de1555e976d4", "2f7e8efa852fd63ecb0db98767bd5d170a55fc79", "05fd17673f1500d46196b0e38857eb3eaf09296e", "3a4ecdf7d73b0fb392763048aa834a537a495537", "b7bc6a2dfe99668457b67007400f5ab760386d0c", "524fc6c73714c91d7ef2cc069988b3b9b3a87c8f", "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "52d86a69fb186f521202a8c2d8103ca591762944", "d2466d6db8997d4642acd280cbc2e578e0093e82", "5d2c621c4643f2e71645f61a5f9fb0ea140e704f", "3d5c4c24ae883f2434cdc352ad7ce8c2da8da998", "6d2933c8650ea54a43d3845f4b960ba2846bd77d", "9e33f7762a90eb3708691aef67c45ae7a6cc5d41", "7b65f1cd8b8bb5066bc8bcff0e49e3ef80e451de", "db056590e54d7be16fb1c96deb9e94914ea9f838", "6149f92d39acdf89e6725dfb611bf89ac22c88b8", "23a40952e047ec9bff8754231e0305477fd934a5", "7c7b0550ec41e97fcfc635feffe2e53624471c59", "1f57a427072604126ca65e907f985534289ffb73", "5d2a01e3a445a92ecdce5f20656fd87e65982708", "8142bf5301391bc81a3342303c564847616e6c8c", "d84991a2f0f01a1fba4953a289d35e66bac86168", "924005aa69a813b2bcf0a0a1831b9a5055c2b8db", "1a7662e3753f9b93983b17b177465a9ab64febad", "0fcdcf8c0474b3f2ce5616880540c1a757f1cc7f", "6ec07affa4b4c25cd92820f84b997b13056cf354", "ceb02a8f874c84ece88fcc7be1530a581b1cd1b0", "6f80cb31194f2fe16157674af1f42ff861c40ea6", "0ae4ce813268a669a1e7770181dfdf555dab728f", "90d289c50651118da0cbcbe8de17d652c1638033", "0333a649d5139aba4447af945fbbc747c90437d1", "25885e9292957feb89dcb4a30e77218ffe7b9868", "05fdd29536d55fe3ad00689b6f60ada8bc761e91", "b0b07732a9ab9b2b9d9dba41e1b9811629fa43dc", "8e215dee77c1638796ec10278e89e3a0ea53bb02", "a3c46b343ad825fe26ad073c151067e871d6937a", "302481da0e6a386e1eabf914e5cdd1dd61d06d3b", "7a9890cdbb62a60ba88a515655535151b568bc44", "004c32bb72c1b8dcc612c1bf9eb1e817227aff97", "cfcaeb8be168d30679cd40df2c4a6bf54a16c3a2", "6b2b7c5efae0bd7be3156323cad75e10fe83ed66", "8b1b0f44da58cb3f9e7e956e5a588097b1276a58", "5ab1c3fd7604d5e90b657e68de21b15353da950d", "50dc0ec4d30e67ed0065c707ddac407a021fee34", "1c495071381225825fb51274b4c7bd81bc535d73", "55c88dc930fec57cc92bbae3630008b103fc4c48", "3c9196c3b7c09d6d7f323081b94d9f37a4f11e65", "91be8f9102a4806ed70bfaf2d27d5e828058b250", "c5670255893d9c3de844f6e207299251a0ba557e", "8c3cf955ebab27eadcbff6d2268597770617ce7f", "b2c6c1a4477867fec7958c1fd62445e0e36fdfd6", "3426fcdc36a52fe11d8c3168397f408e0a93c9e8", "29d1542661f85b4b96d776997f12ad92da900933", "268ba4d429a62ea779756723f2c60e144cc452ee", "42ef3884ff691871ac38684d6a785f4dcdae5425", "207fb7b5176762d8ac6308d922882a99743299de", "a6c2a441a13b3638d2d1d734d7fd50c739819bdc", "09dd9850767dc8b28ecd6bd912984394ce1e5f4a", "cd2a47cd2312cbbcd57b60f68b5990165777f92b", "bcc00dad540515b964eb676c302c5b8bbc3a13c7", "af1325b1d144a500babf5e9d8cab739bcb62ec70", "21a1654b856cf0c64e60e58258669b374cb05539", "522727c880fa8d13b4ed352c24ba382ccd9a97c2", "decdd2f8918a2ff9ca6e9e2fb79cdd9a326435fc", "004ec63975a5ffa306242025df200fe70d2a5c5c", "1ca5b8cc60880d70bb65c26f9db24e98d91e6202", "83a89f5c778a2e7ed7e6327a5b8fcd9558533928", "e08df8c2fa54da58ec067b9a15cdcfb01b88652d", "00c5f0e7cf224dba123ccc3691bbe7a81f33b5f1", "1256f432f076e0c467bd4df8dc5d47656e259949", "faa29975169ba3bbb954e518bc9814a5819876f6", "181777a21cf272d98fa21d379adffeabd3334bfe", "6ae4fdde916aa705cbc5ff67373acfb9679d029d", "88274f2351f3c6006809891ed405119205a790af", "5f7cfbe53d87e5a0b1fb7df326b86f0c3b199173", "f85d2b8c1036783a2ce986252cbdd0d2fdbeef34", "5c48d6ea9b022c077b1873ec48ea4f37a91ac77a", "2ffd6937278d4fb70a15af858ea3cb0667111465", "04bb1b063d8cc66880fb3769d2d1d80ee9f54148", "0e7d8ae484d8a0ecf65855dad9e7514730b4e07f", "2ba9d72e7f87a458a06bcafdba68ef7abc1c68b5", "0884faa227e66a1e66cd9560a77ae005b85bfb96", "62ea69156fb6dae352aab02495f1de6f1c8fea15", "6dc9dd3043aa08b4fffcf32d0e8b28a746a2704c", "88e63dbbc1b3372a38e2c3993702876acd5bbc20", "2d69b3965685066081e533b29fde3364a6cc21e7", "649d233be3e53361264f1d6500ef9984991c9121", "0fa077478abea097a1b74915ccaaeb4952eaaec7", "fb0aa3debfd29cf867370e83ca780b8428d204f8", "d5b358b9169a8fc0a505ae5a4616253c43bd0293", "10b2ba83c2795c7c09d27d02dfd741728d201d3b", "23a955b33156abc9879d4d310c8f5a361a5e4ff8", "fa53df962851d5c427cdaff2b0c520ff92d2fe28", "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "1d07b46783b9006ecdc65511c5a07b151519db6d", "9dc4dbbd959d380be1eecae2beaf5d7cea4a1813", "2d5708571f412714c6e8d0a4399dacdf83efbdd6", "cded5fe6f27723d5628ac4ce939b41e0068d175b", "327dc2fd203a7049f3409479ab68e5e2a83cd352", "2a899b74b5e350c299914d5af0f45d37ad1cb5a9", "18e30924b4845c3ef6a9e3342fdecbc8029f7fc6", "685a4a70f9c751bf30d721550cf2820688b01758", "f58592051db1f5d300d096f2cd7869258d2de9d8", "a80fb58c8be0ce81d146faa0abc1d605eeb323d4", "85a04f28c1696e33ae9a205dbd7531c97916eb18", "0d4cdadd765c3003b0bd5f762b84bef93408f548", "941e4b73c8f9931f0a083494fb8cd1fd6e860809", "4b514c4ec95aa1fe0761656d5f912fc114f15fdb", "5cbd16cf9ecc3ff042c8a239c78efb23d218a099", "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "7826e0b07c3b3bd2adfcc6ef8d5afe88876d04d4", "e429c9e38b98a1f0cc99eb890d6789ec311fa42d", "8189e4f5fc09ae691c77bbd0d4e09b8853b02edf", "31a88e7656915026470d54acf7c154f030c9e945", "4aac0ada9b1b48ba822ed613fd9589555625c0e0", "65b2bf978a404da453f03db80fcbd8197ae0c99b", "fe2948ae1064b2c4e3324193fddbff1e4ef1664c", "35e2fb4a72656cbeb2e9afa140fb01af03815202", "9103148dd87e6ff9fba28509f3b265e1873166c9", "220ce8b5151900e994b79ed515648892ff6c5368", "7edb02ef21a9f232de8416b025b17cf5ea28d17a", "c684d188a28f77483a7ca9ee0653bc5105f2106c", "7feff9a8f31520310ce99ffd591178feacdd98bb", "7c61d7ccba6515b8e07806ffb57caed6c71d985f", "7da8b91918a31bde58eb6ebff7a5b8a53c0f3fe7", "614eed5581f342518aec87988f310ba01290378e", "2492bb313093cbfe885d1f3f9da2feba4923baf5", "f131a654bbf4c8de0679d3c6054c10bba4a919d4", "a57ec5c04d09f236aa0e5f85daa5b3a107dcf228", "1a9843457d3ec24b461b0d2619108a263d6a69e1", "3247610e9ed42c773113f6f6d75b14a4e3188ad0", "bd26faef48080b5af294b19139c804ffec70825e", "d6c936f270cffd8d63b57cd7c6c31b0d9c6e32d3", "962649e2fbda0522406d7daa14cbb6145ca03b42", "aea81017c4fb7b9adef21adaf776257f4a790823", "1768adc713a6e91e6ffc2d79f119ad0ab538baed", "293316f4640321fd47210fe832de4ec2895acf2c", "26232149842de7b063f16e203eaad102e1b8cac0", "491208ebf5d16ef89187a0f479d26e97da1c9824", "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "0ad17977977a5ed3219e763696c6b4267b36c1f4", "4cf343cbd28343ff44fa15e4160c58a2953df5d1", "8240b5f9679d8f24eca071a886d9f40796f0799e", "00b370765678c44acd5313f3946b2431890721a9", "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "7f4b3d454eb5a940a504c1f3a3b18d6992c5f7d4", "1c9b9f3b3bf89f1c051c07411c226719aa468923", "83dc66111a95d954f371b4b1442b74d6e5892060", "1aeea66eae8fc452631132785edd1a607ee021cb", "e12d0dbfdeabc35a8458b3ad9a1179419acb7f0b", "523b084f21d7b9b6b46368be21e3f769745ed516", "6771548ec1b369d99cdb2b2c9b56526cce1935d1", "77518d7e11f9d106dd989a628bcea823384321bf", "6abdd7c4dea2d5d7ff82cd5e6e503be1589861df", "4335f5c43a3a8565504e11da740adbc98a7a7625", "35e3f6a9a92cacd53a36ba71575ec3831d227d87", "294e78ee5712781c0e9edf7d9ffa897cb97d2db8", "b3004f4ddb8948a081035dec9c4f7f40205926ab", "8108a90e2427928b943eddea1d1e5650d9cca9e0", "9fcbefd92fbb69cedc134031bf196b79a1e0a150", "cfa02e0a093f4dddea9c304b4efbfcae10735580", "80433f3c41f383abf495ff2b368616af6d545694", "2ecaf74183e31358aada441707897e12aaa11eac", "49c2ba651bcbb8aa7a84160676c3b478535a657d", "bb4ca5831eb8d913eb3583c9907137a9cdac0599", "7f01665ee355c8d016eeb195583bcd31b4e189e7", "83a4987ca95b56a97c3751641e59f8891a911657", "3be45f3e3aba46bcf1e2d3ae83ed5f63da53272d", "2b7132b528a61f345a5b4b39a728e9a6da0c3193", "e080b9c905624bb9ecaf449ce211561ea4832656", "7c88f6763903c9601695f70aee5efcea1818e9bc", "b128011e2667768ec195b778a997ecd20f99160a", "7de79a149568048db336d92dba9ea5ca54145628", "f7ab638dd60908df56392285ed4afe29de757981", "985cd420c00d2f53965faf63358e8c13d1951fa8", "12fd613bc68101176d8fdf1b28d4d6fb3e3fec6f", "ba8f87d3948d550fd3934d67d06f35f8ef31de11", "3569361103331c185c681f50e8d23058ea2aad7c", "ec12f805a48004a90e0057c7b844d8119cb21b4a", "b28fbdd8530844734036e059e1ce7c985c8124ad", "a315600c54421e28c14f938431babad7f4866aa6", "1bd1645a629f1b612960ab9bba276afd4cf7c666", "be393cd567b338da6ed60181c8ad429627578a31", "e35515f699b60472ac8f50d1da84fab3c55417d6", "02caadae027f983261d93e40f4d9d1f785163db4", "5d5d267416aeb2bbddaf06f703e8683753abdcd0", "0cf0ad8235929417d904acd1c672713ca4fdb105", "cab97d4dc67919f965cc884d80e4d6b743a256eb", "6f172b6635ad9e3d3e0ab65d931dcb354eb9ff73", "34786071f672b55fcdb24213a95f2ee52623ff23", "439f6206480b3ce069d75a95b1ffed9417117a17", "95addf732b584f7a2959f143d860863df3d1f320", "8a6665bfe3ad126d84414280ee2f884818560063", "333880ee776d57555f54935978ccb2ce13cfdb07", "f30bdc22fe454a28234cf858d5bf9de94701ee7a", "976647b32fd7e1a5c8ee4a11792155903bb34e43", "5d49632f8c8cd06cd5ce66f007aa140f40c12c45", "66a08ff2ea7447093624632e7069e3da16961d30", "b80a7bbde2986a0b3474258ec2fad0a75813d89f", "84afbf356669f544f6c7e19fdb273edc93bf93ee", "bcdb697c9d748f7655859256b0228a51b19b6fee", "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "e607b91f69ea2bff3194b07c5d22b4625bbe306e", "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "3e667c54e848233db092b794f2cfbf47ea63b771", "a5c8fc1ca4f06a344b53dc81ebc6d87f54896722", "e586547a63400881c7a95d6ad6d5fa31ac237ca9", "7a9c2524a157a6b5d0204c2f3b187cd67eb26b4c", "c7f4e18ec3a805b8aee1d3d7552364c8f5f6ca1d", "99c1bc2b09210d016a252ddae051ca7cf7fe0a56", "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "81ba5202424906f64b77f68afca063658139fbb2", "d488dad9fa81817c85a284b09ebf198bf6b640f9", "b8c51b9ad3da310b590629b050152460abf7effb", "f38a1edab9f0f0f36718778ac8d510fd25c41269", "830466596c0908399760f2009a09ce605e3121c9", "1d1a2387663cb3510d6f5c0651c1dc55e48dcabc", "91d2f0b7c23239740fa15dff0b5893b992c0ab34", "8e7c647d8e8ba726b03f7e7c5cc395f86b9de9be", "6a0aaefce8a27a8727d896fa444ba27558b2d381", "82b1ca78b2fc7ae0459f5d7c61a78822b8a590d2", "2f02c1d4858d9c0f5d16099eb090560d5fa4f23f", "c43c3ec39005aaf1f0ad2f641d92f41021342217", "e1a784e360f2bf3911cffa30506d46c412659db5", "9043df1de4f6e181875011c1379d1a7f68a28d6c", "a4ffdc6f0811b5adbf41d20433a44fc546197b75", "9da3ade53bf91556fe46828b216aab20a4e72294", "cfa48bc1015b88809e362b4da19fe4459acb1d89", "eb5780e49ad7e713e9f34cf067d45030fb29753e", "750bc0d2c9105a352001875127d796599a994886", "54c9343c247ce5a82bc52f83df84c2bbae737ce4", "2d81cf3214281af85eb1d9d270a897d62302e88e", "d54d0dc1e7ef82f3ed0ee332e0777b6d73477a8c", "9607f88fe6298f754e3f610c3a587d8e10b1b0a9", "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "03a65d274dc6caea94f6ab344e0b4969575327e3", "8935ffe454758e2e5def0b5190de6e28c350b3b8", "993acefc2e350f9661125bb74df136e2b614ea23", "d78b190f98f9630cab261eabc399733af052f05c", "deea683731f468c7234e1089f48c4546e7003b18", "08e18921d7e405ad27956c75f2613230170997d5", "1303b3e9f4bffb87b6dd34f7849f7a57e00253d1", "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "5031a110219231ceaa820725c6e77f87f7b2fde2", "86c158ef6caaf247d5d14e07c5edded0147df8b7", "bba153ebdf11e6fb8716e35749c671ac96c14176", "fe5679c183cb432894d111bf02cc3243c89762ca", "11824658170994e4d4655e8f688bace16a0d3e48", "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "dc2f16f967eac710cb9b7553093e9c977e5b761d", "7a65fc9e78eff3ab6062707deaadde024d2fad40", "cc757b23ab825f56d4612283d9742ea236bcd360", "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "d7fd3dedb6b260702ed5e4b9175127815286e8da", "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "02138f475677ca1f9a5919870a78a3e4518b395a", "56f86bef26209c85f2ef66ec23b6803d12ca6cd6", "984edce0b961418d81203ec477b9bfa5a8197ba3", "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "3e19d36e41a8040df26929f19535e25dcda40d2b", "ca011427853d34ce4ec9ccafde8a70c9eacc3e21", "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "24c5b0b2506198bd89d492145b6176a6b1c999e2", "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "0a325d70cc381b136a8f4e471b406cda6d27668c", "07a1e6d26028b28185b7a3eee86752c240a24261", "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "458823c4a3be58dc188cf314113b91209017fd3a", "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "0435a34e93b8dda459de49b499dd71dbb478dc18", "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "282503fa0285240ef42b5b4c74ae0590fe169211", "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "eb4151eebd0b7451ca990b242cef8357bfa9db92", "29db16efc3b378c50511f743e5197a4c0b9e902f", "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "6c0ad77af4c0850bd01bb118e175ecc313476f27", "bb33376961f6663df848ae9bf055c9afd9182443", "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "be0a0e563445119b82d664d370e646e53e69a4c5", "31ea88f29e7f01a9801648d808f90862e066f9ea", "cfdc632adcb799dba14af6a8339ca761725abf0a", "17de5a9ce09f4834629cd76b8526071a956c9c6d", "16d6737b50f969247339a6860da2109a8664198a", "ac9a331327cceda4e23f9873f387c9fd161fad76", "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "8355d095d3534ef511a9af68a3b2893339e3f96b", "c5fff7adc5084d69390918daf09e832ec191144b", "166186e551b75c9b5adcc9218f0727b73f5de899", "e295c1aa47422eb35123053038e62e9aa50a2e3a", "b18858ad6ec88d8b443dffd3e944e653178bc28b", "635158d2da146e9de559d2742a2fa234e06b52db", "0c4d42abe48db8d4ef5619031a179a9465b3e0c0", "771e27c4b53f58622e6f03788b5102e5e70b1e49", "10126b467391e153d36f1a496ef5618097775ad1", "eb6ee56e085ebf473da990d032a4249437a3e462", "81fc86e86980a32c47410f0ba7b17665048141ec", "3be8477ef3596f089c74a800a5e5ded500ad67e0", "0cfca73806f443188632266513bac6aaf6923fa8", "6e177341d4412f9c9a639e33e6096344ef930202", "7173871866fc7e555e9123d1d7133d20577054e8", "b910590a0eb191d03e1aedb3d55c905129e92e6b", "854b1f0581f5d3340f15eb79452363cbf38c04c8", "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "24286ef164f0e12c3e9590ec7f636871ba253026", "625a8ec3e6cfc5fee0962acf09023b6bb9752ed5", "e5563a0d6a2312c614834dc784b5cc7594362bff", "3a05415356bd574cad1a9f1be21214e428bbc81b", "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "cf1dc9e3b7ef7f80318a14a1667139a69f404f6f", "aa6f7c3daed31d331ef626758e990cbc04632852", "d278e020be85a1ccd90aa366b70c43884dd3f798", "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "63a4105adbe182e67d8fd324de5c84a6df444294", "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "62e913431bcef5983955e9ca160b91bb19d9de42", "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "9755554b13103df634f9b1ef50a147dd02eab02f", "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "b161d261fabb507803a9e5834571d56a3b87d147", "7361b900018f22e37499443643be1ff9d20edfd6", "12e4545d07e1793df87520f384b37a015815d2f7", "4f37f71517420c93c6841beb33ca0926354fa11d", "92d051d4680eb41eb172d23cb8c93eed7677af56", "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "60cd4ba089d0b078cdac0db311099493b55624d8", "1fe121925668743762ce9f6e157081e087171f4c", "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "321db1059032b828b223ca30f3304257f0c41e4c", "80d32516b736a38a896898e62f6b3228870b4c67", "e8951cc76af80da43e3528fe6d984071f17f57e7", "bc749f0e81eafe9e32d56336750782f45d82609d", "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "017e94ad51c9be864b98c9b75582753ce6ee134f", "00a38ebce124879738b04ffc1536018e75399193", "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "7cee802e083c5e1731ee50e731f23c9b12da7d36", "ba0d9e1e8bc798656429fe7121afee672dddb380", "7aa4c16a8e1481629f16167dea313fe9256abb42", "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "cb43519894258b125624dc0df655ab5357b1e42f", "ecfb93de88394a244896bfe6ee7bf39fb250b820", "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "9d4692e243e25eb465a0480376beb60a5d2f0f13", "31f1e711fcf82c855f27396f181bf5e565a2f58d", "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "8879083463a471898ff9ed9403b84db277be5bf6", "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "1e8c8eb8be00fc05643d8370efe0aee176345230", "185263189a30986e31566394680d6d16b0089772", "564babec16b895d385d06d38545febd66ef02f35", "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "8a6033cbba8598945bfadd2dd04023c2a9f31681", "4ca0f009594150a760da17c5dbb71107e206834f", "855184c789bca7a56bb223089516d1358823db0b", "786e57ed6877dc8491b1bb9253f8b82c02732977", "0b8839945259ec764ef0fad47471f34db39f40c3", "66e57fe8d2bf08b5783d333c1870591b23008850", "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "4905323aaf61952e07f62c18fa662c7da895e40e", "e649ec9be443c0a58114a1363a34d156cb98d0c4", "63c74794aedb40dd6b1650352a2da7a968180302", "8b38124ff02a9cf8ad00de5521a7f8a9fa4d7259", "8e24db957be2b643db464cc566bfabc650f1ffac", "65d6b73c2763fcdf7ea5bb9a182e5fb167572b5e", "01e27b6d1af4c9c2f50e2908b5f3b2331ff24846", "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "bc704680b5032eadf78c4e49f548ba14040965bf", "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "2c615b77350b936ac2c2479f6473005b882c6514", "2a3e19d7c54cba3805115497c69069dd5a91da65", "a60db9ca8bc144a37fe233b08232d9c91641cbb5", "120785f9b4952734818245cc305148676563a99b", "84a0f6db2b7155a83728101728794713898a859a", "07d95be4922670ef2f8b11997e0c00eb643f3fca", "7d1688ce0b48096e05a66ead80e9270260cb8082", "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "ca537e1726a8d8c371a71bbd6d9098774ab51955", "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "926e97d5ce2a6e070f8ec07c5aa7f91d3df90ba0", "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "8862a573a42bbaedd392e9e634c1ccbfd177a01d", "3d9e6f1c3acdec5186d52dcc8fa7c3e2cf4ec2a1", "0f257ae1829b3250723a87781373d339308ea996", "7789a5d87884f8bafec8a82085292e87d4e2866f", "4a8480d58c30dc484bda08969e754cd13a64faa1", "ad37d01c4787d169daff7da52e80e2018aab6358", "466f80b066215e85da63e6f30e276f1a9d7c843b", "4dfd96f456f18bf678158d158f33929c63b438b8", "18ab4e43e475a0a066912873c694f998ffe1a37e", "78f2c8671d1a79c08c80ac857e89315197418472", "289cfcd081c4393c7d6f63510747b5372202f855", "889ff5c4001f2bf88bbd54941b15474b8273eaa1", "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "293ade202109c7f23637589a637bdaed06dc37c9", "3f549b21834844b5db1531670c34eb06e2c95e61", "ec1e03ec72186224b93b2611ff873656ed4d2f74", "b45a9f95980c434582c920bf15a8099ec267c1f7", "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "48734cb558b271d5809286447ff105fd2e9a6850", "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "38cbb500823057613494bacd0078aa0e57b30af8", "afd3a6dde8fa3b330cb146678731b150213ddd95", "5fb59cf5b31a80d8c70d91660092ef86494be577", "2fb8d7601fc3ad637781127620104aaab5122acd", "9ab963e473829739475b9e47514f454ab467a5af", "e6e22d8505b98257af88d5dd1863d6b805128913", "254964096e523d5e48e03390ce440c9af337d200", "bae86526b3b0197210b64cdd95cb5aca4209c98a", "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "ec27b3d1548909d3f55246a388d768cf51e65802", "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "d32b155138dafd0a9099980eceec6081ab51b861", "0f21a39fa4c0a19c4a5b4733579e393cb1d04f71", "74419de59b2dd7d0a16484aa2aac621df514f5c4", "f276d79e428183b457875dcccf2442c7832093bb", "734a9a7f49468aaaae0791a2de199048aa86bb46", "303065c44cf847849d04da16b8b1d9a120cef73a", "40ba04ffa68721c8130304ed1947bb092b6a5bff", "ee3d19879bec7b0b5b4131360be9951188b7ec60", "37030b9fa13d2e192afaba780010129f67ae74d2", "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "c335a560a315de7cfeadf5b0b0febca837116988", "6932baa348943507d992aba75402cfe8545a1a9b", "87ee56feefdb39938cda7f872e784d9d986713af", "12095f9b35ee88272dd5abc2d942a4f55804b31e", "7492c611b1df6bce895bee6ba33737e7fc7f60a6", "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "e8c051d9e7eb8891b23cde6cbfad203011318a4f", "1885acea0d24e7b953485f78ec57b2f04e946eaf", "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "014e3d0fa5248e6f4634dc237e2398160294edce", "4848a48a2b8bacd2092e87961cd86818da8e7151", "9728ee87f70f5b5bba55e417a3b2fa8bb90a9569", "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "3727ac3d50e31a394b200029b2c350073c1b69e3", "465faf9974a60da00950be977f3bc2fc3e56f5d2", "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "31cdaaa7a47efe2ce0e78ebec29df4d2d81df265", "5b97e997b9b654373bd129b3baf5b82c2def13d1", "d9dc41d3bc92e194c5a881ee9d741f898310ce9e", "758d7e1be64cc668c59ef33ba8882c8597406e53", "1b0a071450c419138432c033f722027ec88846ea", "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "9461ae046dbbafbad095bbbc80d0b9e5931f6a72", "827fdecf6a292cefb21837b9d11533a0e40f9e08", "073e98d1a443e7b5f8b65903f18cd05a2b884400", "a5985dfb2f90cd34d83613b4872ac72b298a876e", "4519b43e0d22934a2a3035d45f7626fe2e77643a", "54eef13b3fe487cc48a74faf8f486a312f545cc9", "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "171f8f1090ef0533ff470ed5a4d31ecfefcc74be", "ff34d1ede03e99fb4694961d458bf0ca51cd4b31", "bececcda7976be8e19abe19baf2e1f19483b5eaa", "87061b07b04c55d426e5469935f7d679fe111ede", "acc405806229912e9723c55bf61dc1d34059f5d1", "7fe117f5bbf91f85a97720eca8be36da87a5f8a8", "a9cbd487b394d94d5f303c91d7f14dae14f70acf", "b808cfac9c44f27d3716f9280dad4dc2a9bbc8df", "35a2ee8bb43ad14b966c294f599475c1edd5213e", "2c75e7ee01b362cc5f1ef2e49a84d56af93e6a3d", "f2640379adc41360adc1ff03c851b30e509e41b8", "2fa77c103e2e4bb166cefab209a0be24c99914d8", "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "60d3622037a0c94af44e8334452fe4c1a7bde1c6", "fa62bd7c8e29a7f2c2104f7b769b487ab9dad4fb", "37db8a78a6bb47f6de37f5e42f6df5cd7b1bd304", "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "78efccbfd1b1fca267c1b7903d3e4344c9d54ce3", "65a9d4b8740b7ae48127d7eae9443086613a83a7", "4da8fe0379af893cca721276e13db3622955b3e7", "5b65716709a2a7a4da2e2aeb611f82e7aacfbbf0", "23a109da0c4ce0314f6f016da679a4e1fd6960ef", "70cfbf82cee2f007b3c65cf97373f66f13005b42", "6f0ce4d957c4e9556b04b539105837a5db63b925", "b3918fab36f106e83e016a3e33d260ad656191c4", "e89cf011bb543137b961807924e0b765d536aa98", "44d23df380af207f5ac5b41459c722c87283e1eb", "49d1935740a3333b7f0f4b929680554e2417cb2c", "8b13de4030c52bd84252fddc2a2d93c1751059fe", "66652367a369d18e1845dd14220dc94a9748c9fd", "81d327ec41c67728b15438bca86d10b72de1d88f", "67ab22dff1c21e8680f94948d80b77314b325d66", "f775be87ca71180d1cf97d81678f4fd713343e01", "60189e2b592056d43a28b6ffa491867f793ebe1e", "d561f8bb5d09e47348c86b40b5f6e4fe524fed36", "f611f46455ed6ad9af85eeb22e294082dced9bed", "b7407b2ea67b8c82246f013f4966c4cac1507e60", "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "8031dd2c6583d8681fdd85bdae4371c7c745713f", "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "296fde2acd81a1b2dadbd89b20436911ed3d6ead", "c68c391be18920ea1c065b714692dd968bf5a15d", "e78fdd62f67c38fcc6ac1421f045c9437f352b86", "b42a8325d5cabefd11cee59f4b2b5901eb7f18c6", "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "359c2483195a3217095dcf8738abe47181a0fc94", "79931447522097044cbc89e4bc2f69dd6e8f0e58", "e9e04b36f88199a492db6ce7ffdb4e76dc7cc966", "14ce502bc19b225466126b256511f9c05cadcb6e", "3fd7bfd90f0dfc3369bfe718e27aff30cf268c23", "808ed09fc6d56aa221e95e82d3ed37a9cce1da88", "b15cfd1e2f46a943328fa32fe0a571b8f7073b9f", "b33bbdac96c3540ebb07c3655643e6badc368c59", "56423685e039d82d3cc88f797fc2b73f2d93e200", "3a8023d206613c930cee8e9166fcbbfd743e6634", "d8a3dbeb3e262d873d5c01c2d9af7302fbc86fcb", "ac5c5be6234c459fedea5d66fd34e916e4730949", "754ee07789f6ff28fc121bb9f771895e971ac28c", "b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764", "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "25bb4212af72d64ec20cac533f58f7af1472e057", "02e43d9ca736802d72824892c864e8cfde13718e", "b3c375f2113eb891682b94d49a8a557f18d3ad1e", "7c1f47ca50a8a55f93bf69791d9df2f994019758", "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "454f403857e487d6a885180e0e0f7216a342fb0e", "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "3e159084e12ece3664a17bf4dd0eed8c5f06a33f", "cf682939be6828d1a70161618024e02af660d1bb", "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "d1ba33106567c880bf99daba2bd31fe88df4ecba", "85cbeac58cb0a6010836ddd8b2d093eabd31767c", "1a3bd11734742234ed8b12bf6221f2569b2a59db", "76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34", "59a76bab968ac4cd740eb376ce9a26f6c1b103e4", "4953dc81247efe5a1c28c79fd1d4ab69bbb9f21c", "1898cc980300b5646116ee68d54957da439a7236", "b2efa9a9d996b396317e94d26add673bbf804bca", "a7fe834a0af614ce6b50dc093132b031dd9a856b", "2161f6b7ee3c0acc81603b01dc0df689683577b9", "15d99a8ebf09304916a082a4effdb215ff0a54f0", "aa8447c65f93670820124e0a99a2b5e3536700be", "4770f73bc3ad0097fc8cdff3a3f8feaed1060595", "0ecce20af2ec42e39d4294322df48a42a58e42d4", "00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7", "1de96fa00e498b425a34a85b7fb491431d00a41c", "16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07", "f2843da00dc202eb8748b1b690f7b5dd0849af20", "135fe2a0a0e6b726e5d81299edad4b3ce39d6614", "ad01687649d95cd5b56d7399a9603c4b8e2217d7", "9785429538389146c8061ec856e74e957a246f2d", "76977a8e7afd645e83d3e5aaca47a44922188d47", "b39caa8b3f8d2da981285a0115a61a66b5f50b93", "37d7cb06c0a1e632dedcc1f23db22cbdc130e6aa", "3c975c6af75d62336b6d90d2c920f82021726f68", "50245be68e70e8447610d6fb304bf1c49cf2feda", "38b55d95189c5e69cf4ab45098a48fba407609b4", "1b93698c1784db4abf72b500e51d4806e6430522", "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "0994b8a23880be0b28c0c4b214b6d4ae91d1182f", "e3aca5a0afd13085bcc39dde7691524a07d34206", "2011d4da646f794456bebb617d1500ddf71989ed", "712590793270e2f115fbd8891314a413047fccc3", "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "974b9f0af3af675c092b96e7ac68e391cffdcf49", "498af0c92b41f02ae328857020bc5e01df59c252", "6782b148bd2de66cd73f3d69f481d40cce866fff", "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "2ac31bc7a4dd0256166208dcc8d5dfa99347117e", "e74cc004dc22ac30ddb77b6750aa326bbd41082f", "02f038ed453de0551813159284746126168f5e15", "0843ec2b76ef9401e60654fbfe71bac44ed19fae", "fea0895326b663bf72be89151a751362db8ae881", "7f45292369a5214984b4a15c65330ada474b0150", "0d754504848d071936a5d603c8b3db0c48a3da6d", "a23f55dacd3b2f3e61d6a30da49c307ed0102807", "18ab9be9af94f2bf4d3828161ffb232d1462526a", "e23a75430f777e982b0715b6f8a048d4bbfea438", "90c18409b7a3be2cd6da599d02accba4c769e94e", "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "8edcd935362c899e630349784e4ff8adb3a69cdc", "611849b55ef6b164f21e52cefd05300041e72152", "b07cf8eabdbc66df9cbc2bb93bedec1c8e5c41f0", "a855b07ab632ef67b0538325acc34e38f000245d", "9cf6d66a0b4e5a3347466a60caea411d67c4b5b7", "c8c714c100a754baf7d86d240ec35207fcf84b06", "ff8c21c13c9f442e6cebe405be4a4ce09a7fb98a", "a9be351910ad6b1819764fbaf04caa69f27548a2", "6701efa7f715b3c296843b8ff5414a6610711cf9", "7969cc315bbafcd38a637eb8cd5d45ba897be319", "a0cc5f73a37723a6dd465924143f1cb4976d0169", "063f78c20405158d87114a8aef1bb7557230bd89", "2e59865aa2ddcecaf9275abcad9b134558c686c2", "160ab0e879f4451fa4df88cd567508150894ba9d", "19bcd3bd41825a67f48db701a68030c5e6763152", "09d78009687bec46e70efcf39d4612822e61cb8c", "1bcf142e3b2f5a7ade185f220ee031657203c293", "79c2d4a2f802b1df52096154484362aec06290e5", "46638b810bf69023bca41db664b49bc935bcba3c", "61245ce4b3d8faf4721a27cd92337226bff82f74", "0a103350842cca3794a784fb04ed70ca78e7f29d", "7557e81c1189f0ef9643519e0664d60baed51721", "a6840267e169382d3c5ab2645f6da60dd842d6ac", "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "bf976d746b1223a60e93f6fcb1321e433eda94f6", "2170636d5d31eb461618b5da10f4473c67e74e73", "e9b72a152928f683aad5f81347777534b6715e67", "2880826d86a57cd15a73872ad6339baf5b100a9e", "274e8c0c513ff82713f2f332694cf2b29b7c3bb1", "6ce99d07c3673a8fc43bc659bb659df753bc3fdd", "3a28059df29b74775f77fd20a15dc6b5fe857556", "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "f10f6c294130c76981f0e584af5811c44636eda5", "fe54a5a10288648f3bd0a71b053cdb896716b552", "e9835bb131287d711e5e5435a5df8ce5302acb31", "64e4d1152cd43193f2f9a33c0fa2800b1aab1d55", "6c572562a906f6c94d8f2e91895c161cbb0fa4cc", "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "7ac25c5391251611696d16e677bd71040d80d583", "35bddbae441ae8d5f381b3aa343d12eae3196efa", "592bbab1e073908c75584879bc00911e7246aebf", "5da0e870d1f9161989ee9110c932477b3030d501", "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "4679f58139f1be2aab2598378555f277bc299d2a", "ccf934a335793fe416b0115183783d2c355b64ed", "3147bb14bf4228735ecf4bc2a421590b3de86c0f", "0195bf2b913dbc527fb081674f480ecd8a799c34", "ec85c3f57594afa77a8b0e516035550ef6f79db4", "4c822705edd305d04f2c02ac9b1b73421e857961", "67538df7950dbba0ab7885a23b7abf6f56f39537", "16e5d7b733086e0a7dbebc7218f80da53bd71646", "6313ecbdfee7d04cbf22755c4b53193f42467a92", "ae936628e78db4edb8e66853f59433b8cc83594f", "6a2ecd18bba2667cefe1f9c3689c7cbe0380a276", "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "315df9b7dd354ae78ddf1049fb428b086eee632c", "1ce69b2ab1821b7434c099c2c2d65a2cef878645", "1e21078efc0aa7a3881d0e87cb5dd5918523f525", "10952c8fed04a5847192decdecfeee03c9ea997f", "628aea69160e273ae3b3ae982deb11e9089d0336", "3bb4242420255590eeaf45fe0b7c3b489fa87303", "813cc31130ceab1668da1ac6646eea4b6a4be6b6", "1fbc81959c49d04e292ef4cfc68dd431105cdd83", "2dbff0b15221234e00bec4a00b4897c631904fcf", "b856c0eb039effce7da9ff45c3f5987f18928bef", "0a85bdff552615643dd74646ac881862a7c7072d", "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "57c5501d9937fa43291dbd3f95288aded8b2dca1", "febff0f6faa8dde77848845e4b3e6f6c91180d33", "faffbf70dbd094346bad9b8a4ddeb973c51a70a9", "1f5c409e9b6aec60003b5d4534373f9b07ff8443", "40848b442cd52cbb9a440e413d5edea23a6ac26d", "26e39719a8dd2a554a825dba86fb244dcaaac4aa", "38feccdbb8d98e325cac41edfbfb3cab866fd968", "2c98300103c86401c979ec158a659fb07fd2a36e", "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "b866bafa296ae836726a8a1df78639ad9533623b", "c5f4b605eb866000aedaf7377f6329be10b5920e", "6448acca3bf4d14ad44756974a6486a317095a54", "b534163cf101520e0868c46a754748fd0e4e0ef9", "705073015bb8ae97212532a30488c05d50894bec", "2b50f8e4568ecd84e2f9d6357254272d8db4bbd4", "9ab57be9cd26652fcc02ce994ee53ede05cfa79c", "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "3441edf456e25b222d7b237b96faa7e3e00daaf7", "f727b12c905ac585de60811048c9f9dd4188b498", "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "de02043fd479a2bcf23d30ab4496cc4e0d84f699", "489decd84645b77d31001d17a66abb92bb96c731", "700bafb57112febd5d5712f474b0ecc39379320c", "aa2deffe0b56f7b9b8cdd69f5b3ee6bb79801797", "d0d148c5124d53152e93d25ed91523dc7d83a248", "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "f3084f7f60fe087c66606f21a1df6de890feeea8", "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "8e346f6cb75fa50e0c4e8fee4f198788b91569e1", "03babadaaa7e71d4b65203e27e8957db649155c6", "70ab6dacf948624998d61e3476d0604c9ea2d349", "cde66b2f8c7f2e8b808073cc82f49fecfa0da04d", "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "1b3505018e39a794eab032e7e313784b21be42e9", "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "3da3630061a1b70ceb843711629eb320085cc9ee", "160da454cc64c1117c3a164b9bf375d73fb81720", "6a167375410115d83be377de1f9714929f301b00", "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "82485c89a6b48077b03b65a774fd5768ea768d4d", "b3ccd57f7c15a1dd61d18007622d6332fe9ab041", "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "8d8afef13a8f6195d3b874231e5e767cf62f3c50", "0c69b1e916476bbdd8b1b38bbb1aa877709a0f28", "2b52292f09451cf4c803b52c2995b51d17e96153", "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "6123e52c1a560c88817d8720e05fbff8565271fb", "9125903bf7aa68920fdca8296f703b9013a877ed", "2f3f87d8cacf32232c3a34517fa991289ed03884", "37ba12271d09d219dd1a8283bc0b4659faf3a6c6", "21e880907053301b621d318a4b81dbe1b51c3aad", "a57e735f3582365dea89a202bdbcc43e53af6ad4", "05a6a40c840c069631a825509f3095697592e1c4", "51144f331aa9310e4fd9b4dab00e4baf6fba7ef3", "8520a3731e66304cac8981e97127211409b5089e", "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "779a74a12d73d5b72c156a50ff14f29fb8b09f0a", "090dd649d9873282cfb7918fc12d11cb673dc15e", "76ad6daa899a8657c9c17480e5fc440fda53acec", "231a12de5dedddf1184ae9caafbc4a954ce584c3", "e1febe25c3f678878c97bec28036c797bc5e6d0d", "a784fd9391cc7013c618186017bbf43b806fa004", "71529e3e51f2967e338124652e93a3d34eb6c5e1", "ddca5c18415bb855e76f9f459747685ee9c23a4d", "e5a9b24056782a343ddc903aebc21e6c277a6b2d", "78fde57462fb68530a49f913c89343da5727580d", "887502ea2d8a335d8e72deb23fec2784df713b8d", "5a603ab4b6353fc244361930c28723b3bc091f4b", "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "2de8508b33fe3ee290f94339a2f78f373e83b21d", "a46edfb0d5374fae7633b56ab767e26cc8ea25ac", "e6eda2bfec3036cf431a45fa021070ab21bb3488", "5c07464391cda9440cf05c67ab5f3b2b777459d6", "eca9b9dd665556423278b85f79e1d589009a7ea7", "9963c73b03e4649959f021ef6f4fb1eac0b617d2", "7bb929b8ff2f83de91318865232819be8b13fbe5", "2b853328b37db50be2e5ddf7e6629121f607140c", "2c3b31284e8ed00a473338be011570967cc15958", "230527d37421c28b7387c54e203deda64564e1b7", "9836ebbef8ba972af323e20ba7667e2d03105895", "3c3c628aabdd32617ab7a602c9ad4b9c98a46406", "3f45d73a7b8d10a59a68688c11950e003f4852fc", "d8c2a08673bcda9fca35972112bff8764d207764", "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "ea00489323104d70dd43bac5e15390ec4d6dfe8f", "3387805b752dadfa34cb8eb63d9dc86aff49934a", "bffefd41cea42f4db45e8c98b0651f74a8aa90d6", "eee4cc389ca85d23700cba9627fa11e5ee65d740", "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "37b207d2c4a82a57f80e96353f79ecd71320a854", "7c37f8213a33a07076ece47660ad681cb1b58d08", "b8e9a328d3952755941380f9eb88072c3c1e4f74", "f62d71e701c9fd021610e2076b5e0f5b2c7c86ca", "61ab9bf00e444d12816886da0d68b833c47c152e", "3005a4afddab849d9070788ac0e4e95e0fff2216", "1459d4d16088379c3748322ab0835f50300d9a38", "99d3bc6d62675297693e5e57ff0770e7017f9637", "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "07f5c01b1e272fca1fc575ab84ac1710cbe58518", "4469d0d0ac2f6f0221dc865b132958df33faa95e", "0f911ed7c457979200848db3974f13ed3d7457a4", "56c5d08103c5bf4b263a81da73135455136bbe6d", "3f9f5a8966c035dc179a60c042b160aee2bf8f53", "93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f", "81eecb00eeadb5fe36cd840b687439bfdca7ff30", "c37c3853ab428725f13906bb0ff4936ffe15d6af", "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "744cc8c69255cbe9d992315e456b9efb06f42e20", "fef7fb6f3e239c346cd144960e27875889fdd650", "f34fdcaba3ab1c2533a00b10d83263af5d488e8d", "5438e7c8151311d76ed7335051069c7c07113a12", "63ac85ec1bff6009bb36f0b24ef189438836bc91", "0f18522f7cc5068a2dc89e28dd41054384fab289", "f9824a85f30c687f7b3a3fbf25f842d3d87e77ea", "2ab79698e74812142600f7e02315b9ac235a93ee", "12bce6e2db10faa4f370f9e40a6084296080b5cb", "b33d610d62e5255c77ca4abcc9de8aa3c57b60aa", "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "0a808a17f5c86413bd552a324ee6ba180a12f46d", "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "c58a68628745ad189e47dcd956c7e23dc831da1f", "afaec3f0da9f2b8721b7979c8e77341bae59f98a", "ea14548bc4ab5e5a8af29696bcd2c1eb7463d02a", "4acbfe48fb279dbbc62f5be868dde5a4ce799904", "5696e95cb9538fe5f5cc27cd47543b62761021b7", "b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f", "6c518aabdbba2c073eab6a3bb4120023851e524c", "f27ac0f3a0c69571cb7d707d39bac2c5bd9c43a4", "35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62", "115808104b2a9c3ab6e2e60582ab7e33b937b754", "50bc8a4e7e6ab9837c6244b29ff800f523494d65", "998b7c8608fb9f80177ce54230761d8c3d82b2da", "84be05dd82a7208a6e7b3d238df27b123cc917ce", "87fa9d667f8f41eb04831356dc8d68b190693e5e", "706600aa77ffb165097e4aeccb2b214dabdb8092", "0910a4c470a410fac446f4026f7c8ef512ae7427", "f22058a3003cee6b17c6c25c8a635a653e78614c", "783e48629dfbb44697b15a3bc0cb2aa3eea490eb", "df9a102288582d8edadeddcb8d55068a06cc471c", "8b2d224c8b69191c02dce750257c39d46b1c4a7b", "380d50f3ccc07fa4f41282395a78c51e33985c39", "0605a012aeeee9bef773812a533c4f3cb7fa5a5f", "10a36dea0167511b66deca65fdca978aa9afdb11", "d88eb94d7054d2668b1a8dfa311721f37ae1f059", "940c42892bc5b012be2b2ac7421ccb15005781e6", "4cefd47f3327b6d30bf99e61651b18319c4ee829", "34c9753893fe4713568542e7d96dc9a9e6545ec8", "55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96", "3468740e4a9fc72a269f4f0ca8470ccd60925f92", "fbe3ba628fa8435bf1ad4ed153c93109624b8dff", "1ac6a33f04f6c5a8084c15c85295f987cc8e3d72", "7dcaf1ef07a593a987f3b529c2ad1e977c0c7196", "fe466e84fa2e838adc3c37ee327cd68004ae08fe", "3d1382fa43c31e594ed2d84dda9984b1db047b0e", "828ac57f755db989e2886042a85278ae4823297c", "26a275ba467688d422c295b5ec950e0e5d411dd4", "03eb382e04cca8cca743f7799070869954f1402a", "fb193923274c9b028254075c3b6decdae70b2ec0", "1fa9c5af78b3ca04476f4ee6910684dc19008f5e", "72cebd7d046080899703ed3cd96e3019a9f60f13", "50f3587a6316ae59493f4c408eadefe3bbf891fe", "e8691980eeb827b10cdfb4cc402b3f43f020bc6a", "cb3e81b912f24e66d91509e8ab41d09b522a397a", "12441a74e709ddab53f9039cf507491df7b3840a", "10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29", "0c41d7cfadcdaa5a66694bd57fa5eaf807043ef9", "617c4e23fc7ca51d98dacb28779214b3e79e9720", "6f42cb23262066b4034aba99bf674783ed6cac8b", "0ad1fefa54f69d9efa0112f2e60c19841d5e9346", "e959a426d02dd014c1346131ac38ed50114c17b7", "d182c6d9ac4777b5ad73afdd64b7b68d76037212", "dd216b5070a1bf97473a40c8ef4b90158d728e15", "80c11a3ad362b294d5faa0d8e5c384db1d585795", "1aef6f7d2e3565f29125a4871cd60c4d86c48361", "4e614e344ecbb36770d45fc14d3b5152b653aa97", "71807a11819431cce1b29b9c64dbd876f1da39c7", "fa50b5a54aa340d6fe7f46feb02229f1ab0f12c0", "637648198f9e91654ce27eaaa40512f2dc870fc1", "6fa1076a98a15cec083fb474f238237f1b3a341a", "b081d11a8d19048c65b34c520357a82efcc91856", "15b0e598d9692d77aa33370dd3a1a47ba5f99aa6", "173a38768848cfe57a6b20b5ae019ce613e58781", "19d1855e021561d6da9d0200bb18e47f51cddda6", "e59e1c43ee86e3e68b83d8a9916ebe6375606bb3", "8e112ad656ff90720ae609841bd0fcb2caa90d65", "3d0660e18c17db305b9764bb86b21a429241309e", "30b32f4a6341b5809428df1271bdb707f2418362", "ad08da5951437c117551a63c2f8b943bee2029ce", "175e9bb50cc062c6c1742a5d90c8dfe31d2e4e22", "7892606127c94d0be5c9bea5b6cb539f7fe3bf39", "aa90a466a2ff7781c36e7da7df0013aa5b117510", "ca1c710c14f95c3b0cf027fb068d53d595809a5c", "8027f50bbcee3938196c6d5519464df16c275f8d", "355c8c0dbd80de9d23affb37ac102179b6b2a908", "01959ef569f74c286956024866c1d107099199f7", "3cc0d9c1f690addd2c82e60f2a460e3c557ff242", "90873a97aa9a43775e5aeea01b03aea54b28bfbd", "7289a240c9425bc7cad87b3b835e5f0cac22f488", "7ed9913de03dd2990b68751842306c2636852647", "1cee733ee31e245dac4655a870fd9226163a52b5", "f5a22d8f49c0a3038cd5cacb017819a7bf781ef3", "a3f4f163e87b28901389e189bb7f0f655995793f", "1042683cf5733244238198ff486d3a65e70c9621", "9fb31d0375552500bd494af20ab0c3109c9be3d2", "4df36f11cddb2cfd01cd062b53f10d206db752e5", "76e7e33ddc3407fed63f9d55ffd29d253170a766", "a27973d90c1427369cb10aa0202d671f0422e21e", "a3f24a03b9b55327704fba3aed182323137113c2", "8cdd241b474bf7b0632162403ac2a3c4799252ad", "5720b75f11b2029eaad1e053417d627cfe322626", "5287d8fef49b80b8d500583c07e935c7f9798933", "aa5fbe092f8a4dcb43c31ab93af0290900b4f0e2", "d7221695df4de3f34d5e4a877b71c14bc88760d2", "f783d93b983841804a9633a37dfbc624bf5d9bfb", "8cc5ed358764a68140550c1a7fcbafef31560164", "8a4119c2898f611a6ffa0b4b72acf322d1b455b1", "04427d8371cb9e66e2cdcd2035756203398a8bf1", "63856e83b69ac15e1252c1c3d89114dcf806fbcc", "2ab8956fef9526741c1e68c94d9a9da74a87960c", "5f9c3b25eaca97af3c86460d365a3dd485ecbf96", "4ae33d64f8515a023f10e20af20f62a2a5a76f13", "65de72fb1e682375614f7edccd2043e919df9aa7", "ce386ab4511f38a7671576a9cd32e5557853180e", "a47e51dd3f73817679ff0e987a0064d43db25060", "48f45accce6a4a22e4ead41fe292a915f3531f5b", "20e476887f9ad432ea35a5f712485e4e77363d64", "d6807368ab0c87a9cfbb34237704c7019b404a21", "b08c35f8e529f47a3fdc4f0713ffe77d94c57d87", "1cc084aaf9ffb015f76eb2406e11745ab847ef3e", "20405902028e631e239cbc0ff6148f5f1d8050a0", "1cf6bc0866226c1f8e282463adc8b75d92fba9bb", "7a82d83f818cdc4ac714e468446bc2499ff9caa7", "9563456bfdd8b18df7f764400c04976771eb8728", "00f5bfc2fb760249ba4e9c72b72eea4574068339", "62aaa33c46a7c4c2d8a80c81954101576200799d", "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "a0c81783ec60bd64aefc49285eb082a8185d49c1", "3aad63c3c049eedb1c6da4871faa90e797b933e8", "99975f84728140154a35b0763753b35bc44e1d5a", "f1f6f1f2f3c732eb986f604f6056c23bd9e25c7c", "90dd771829094dad1230e32b8bc4385bfe86c4e5", "3965d73c9d7c97cdb391bfd86a15bfd3534cbd32", "5d31da6f19d69c8f83eb44c6f6586de930ee86ee", "610e0bee525a6573932e077f091505f54a5c4ede", "0f21156ea35f558ac3635326bd64ff4018446ea3", "044e0d86e2db70d4c0b767bf0994913e90e105e3", "4d510bca00b625f86606cb0096299b993090534a", "ad5950257e053b08657ea298f7b89ba358b8bfcf", "3c54b796cc10cb530f77caa4d18e1c80ac863822", "c4e69a89a9e322ca78ed3f1140e74aee5ab844f1", "6115445ca062b8f865f0b447c059813088b9dd49", "1bfc74bad04b407d1792a70d73a3f5dc0be0506d", "1e7995220c6f17dc649b0caeab34c617248aa167", "6dc24f94f610a27e767ce1e02def70eb3652f81a", "a4a90a2db209db2d5c49adfd2091ede2d4130f60", "091d0c7b3576fd6f3bb2bec344deb8f81fc1f7c6", "21c99706bb26e9012bfb4d8d48009a3d45af59b2", "b9953824b3d4cd2be77ecbc5db3f7dec3dfa031e", "88bbd2adf9007683c1aff85c84178f2c040a196b", "0612745dbd292fc0a548a16d39cd73e127faedde", "a678b68abd4047d5342f64725f57a04647a47711", "0f827a43026854e4f7e4ea5edad2c70c7d72e9a1", "2385007824daaf9eac9476fccb1501b7ac166ceb", "82bc5bffa47f20f565474d79476ee357eb93b639", "9a3d03a00a4bd72f328217323e85957523df8f24", "df192055c2a28f5ab7b7cd4f32bd3836bf3a3bb6", "06e7648e945b39b8ccaa9120c796adc170dc81e4", "d740d0a960368633ed32fc84877b8391993acdca", "eab2a4b9fbec18a8f4a5f4fa4028cc72ed06c439", "20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74", "7a84b972b385109fc9eb76522de8344a5d495763", "1b94c49c119c7490d2df6a2dd093e5ddd8bfba14", "8cbee37fdc2353e93494a687ceddfdce2ad71e85", "974cadd15684c96618d04f845794cec5568a86a6", "4066f186ff58d300090c652925ed0aed3355efec", "211fe99400bde5116efea3b42719d00a34931dcd", "2d3d4883350a48708cdc0c260479110e5eed965a", "2d83dbf4c8eabc6bdef3326c4a30d5f33ffc944e", "7a8e54033d166bb5bcb2acfc89c2659b45baa6e6", "7730d2a16d6b85edfacdfa37124abda79a667702", "111ff5420111751454a2f4f55b7bb75d837ed5f4", "c86ce9fc2bd5aea98869cf1f31d03e05e7ec672c", "98025d3d44e9379736adb1228919272ded9298ae", "ab84d00079d0a29e44bdc4c83037dc76b0fbef05", "0b57eb772ad9129ea4011c7fcb16c57967409018", "634161e4759616dbe06f0b1465999d3df122f366", "7e4b638e028498e900747b600f46cd723f1f231e", "5582bebed97947a41e3ddd9bd1f284b73f1648c2", "a3d071d2a5c11329aa324b2cae6b7b6ca7800213", "09efde3bd0a380e8cbcd55a13694648276c2c166", "1da2431a799f68888b7e035fe49fe47a4735b71b", "228db5326a10cd67605ce103a7948207a65feeb1", "4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a", "e6beb5d95fa262b8717cc264d79a879285db15d4", "b5af4b9d68f1b9b2c2999a726f6d2fbb2a49a3bf", "96ec628fc3608f88fdef998bf68eb37f7ae17359", "a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c", "0197f278e2dedd67ec5067f47037b8cdd3ae8509", "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "9328898f9e04e4ddfbc377701ecf3d4da2e44652", "287c5be2610e1c61798851feb32b88c424acfbf9", "05fa7085663bbbd1057c0d240158091930c59c6a", "8e06f628d0566e31366cf046b4a83ac4724ea7c3", "f8809a55945c283d249f4c4adb5d74e452cdfaa0", "6861552bf6730529d3fac5d6f2bb7e0f491edea2", "b44999bb2e23cf8ca0a413a2d006cc9800794650", "1d8f4f76ac6534627ef8a1c24b9937d8ab2a5c5f", "03c820f35afdc38dd05e4c663d2877e2602bcde0", "b68773df340498768e88487abe8f7fbac5fcb52d", "216c6d29a6f57c37ef8f26f88b6ec9be5b855a66", "5bc7a664f7c7155bd1c2da0939d04231f230c4c6", "a1030e6e0e6995768dbcafedc712a59db090d2b4", "6eeff23d6e0127cfbbd0374a83341173a418ba7f", "788eceb4d1b7556d1c9033224da2348b4402d6ca", "e260a9f00180a720e848d8a2f28e7d4cba93e453", "cb8f1f77a8b19d99dfe0c7b50dae3978cf646aa9", "182ca028795edaa939739a2a3ee93a7e60721e28", "747e9b36c5a1b0b8a9572da0ab416ddd1e1d2d33", "1ca8c09abb73a02519d8db77e4fe107acfc589b6", "fc450e42aa2a491ff0afda144718d4f73d4d89f2", "7f201b4226d62bf449a68ebcc159acf8b95289be", "2231f44be9a8472a46d8e8a628b4e52b9a8f44e0", "1c1a24169be56e01b0e36e260f49025260a5c7e7", "ec3621e900cc50afd067584bb1246a8b4e338fa8", "c67d62592ff24a25764e489a8a68672d40f50da7", "17d4fee6b21c9277375d6cf0c9087828595009b6", "ad2339c48ad4ffdd6100310dcbb1fb78e72fac98", "15f8bf1eb9bb3c86ad75454651a518267028c917", "9a6268d2bc1221ea154097feadea0c58f234d02f", "dd2f8bb5fa881797fad0448547e307a18bf897da", "0ec03a13063e5811ec9461cf7af04f4f3110ccaa", "05cd67d4aea69a4e305a3aa5315cea19662743de", "03f98bfb129028b80ce98686c573830671ee1e3d", "1eda03469d860ac725122bd27faaae6b2cb47d0d", "486a0044b9c86c6f648f153f3d3f2e534342b754", "867fd4914a265b5dd4494f14273b8d28257c7b5b", "7a047428e6a6ba1486d54f9599ba3ce6201360c9", "87ce85c4f10a2339902460d0906d2fa7894050bf", "caa9927fbf2c83d3e3c086d890a263ed6c421d0c", "176980b2554c16c5a48af890276f4649172076bd", "c9cb1f19ce918a038880f40d616969d7821b1407", "5c617a3fbc92cda09175b2afb3eef2a91e37938b", "31e00cb6451920447cdce252bf73d162fe91d775", "4d0ab1cf9524fb8263a63357fa39757a33a29cad", "a8c4ad6a2e0ee88ca2b1f017c65c31ef6a243657", "cede552a5d65e04fd4894f940b4dc5dd486c44a3", "7b83674072904f783881585a45017c1969e2d692", "5ae02b222ecaf7c11dfd07ad4b31b43d69ae8cd7", "817502a2b3d7db07f89158ce2996a9e4bc433a8b", "f04d1648357dca8418f2cab80eb5c063c4abb674", "545b2ce4bc5ed7b1c1089020b3e53c1d67186370", "79cabc5664dade1d486f076a124a92859269b80e", "356b431d4f7a2a0a38cf971c84568207dcdbf189", "dc5d04d34b278b944097b8925a9147773bbb80cc", "4bf85ef995c684b841d0a5a002d175fadd922ff0", "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "4707c5e306e69330c5757e74a6313544484840c8", "7ec431e36919e29524eceb1431d3e1202637cf19", "e43045a061421bd79713020bc36d2cf4653c044d", "434d6726229c0f556841fad20391c18316806f73", "c038beaa228aeec174e5bd52460f0de75e9cccbe", "7071cd1ee46db4bc1824c4fd62d36f6d13cad08a", "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "59d225486161b43b7bf6919b4a4b4113eb50f039", "590628a9584e500f3e7f349ba7e2046c8c273fcf", "60efdb2e204b2be6701a8e168983fa666feac1be", "624e9d9d3d941bab6aaccdd93432fc45cac28d4b", "82dad0941a7cada11d2e2f2359293fe5fabf913f", "a9be20954e9177d8b2bc39747acdea4f5496f394", "d1edb8ba9d50817dbfec7e30f25b1846941e84d8", "0c53ef79bb8e5ba4e6a8ebad6d453ecf3672926d", "02fc9e7283b79183eb3757a9b6ddeb8c91c209bb", "90a754f597958a2717862fbaa313f67b25083bf9", "0ccc535d12ad2142a8310d957cc468bbe4c63647", "7c3e09e0bd992d3f4670ffacb4ec3a911141c51f", "5d88702cdc879396b8b2cc674e233895de99666b", "68c5b4d9ce2a0c75ba515870923a4bd1b7d8f9b5", "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "25ddb883545658f5fea5c18d6024d54dfdee48fc", "acfe5b5c99be70fa3120d410e7be55b9fe299f40", "3b9c08381282e65649cd87dfae6a01fe6abea79b", "48a6a1c6a0ac5f2b7912b3ccb40b0c07f62ddfdf", "43261920d2615f135d6e72b333fe55d3f2659145", "f8f2d2910ce8b81cb4bbf84239f9229888158b34", "b999364980e4c21d9c22cc5a9f14501432999ca4", "ef761435c1af2b3e5caba5e8bbbf5aeab69d934e", "01dc1e03f39901e212bdf291209b7686266aeb13", "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "36c473fc0bf3cee5fdd49a13cf122de8be736977", "1886b6d9c303135c5fbdc33e5f401e7fc4da6da4", "d307a766cc9c728a24422313d4c3dcfdb0d16dd5", "d963bdff2ce5212fa585a83ca8fad96875bc0057", "2b0102d77d3d3f9bc55420d862075934f5c85bec", "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "c708aa3866a122778b6f99d8eae3149649306e79", "b37538f9364252eec4182bdbb80ef1e4614c3acd", "3cbf60c4a73fadd05b59c3abd19df032303e8577", "f8f92624c8794d54e08b3a8f94910952ae03cade", "b339e16484a937fd87aba8e05dd843a8af81851b", "004acfec16c36649408c561faa102dd9de76f085", "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "5b062562a8067baae045df1c7f5a8455d0363b5a", "8c7ee7acf850562e7515a3e01800c98cc393e62b", "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "be501779ba57eb1ecc1d9ec96b59e7bdd365f2f3", "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "bab66082d01b393e6b9e841e5e06782a6c61ec88", "10384cbe0ed2c44c4d0059745d8bf1509be75941", "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "76fb9e2963928bf8e940944d45c13d52db947702", "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "15a0546ee32ac391f342a6188446dd6699a1d7b8", "fd2bc4833c19a60d3646368952dcf35dbda007f3", "fc26fc2340a863d6da0b427cd924fb4cb101051b", "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "cb68c60ac046a0ec1c7f67487f14b999037313e1", "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "386ce3ac3d2db91290c8c2fa984a5e76dd364169", "0b198c9aececb8f4172ace5c25d468141c5df6bf", "d9216cc2a3c03659cb2392b7cc8509feb7829579", "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "947954cafdefd471b75da8c3bb4c21b9e6d57838", "c635564fe2f7d91b578bd6959904982aaa61234d", "280976bbb41d2948a5c0208f86605977397181cd", "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "b3222fafbca3b184634c5124960e5dc813221aea", "d70db731423a881aece0505f43c1af73df8100e1", "e307c6635472d3d1e512af6e20f2e56c95937bb7", "2e230fba690287b9cf891adc0a0a089df3a383b1", "33f358f1d2b54042c524d69b20e80d98dde3dacd", "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "fb5ae9c218fab5582014d9834d371054e947b9a8", "d6e8930b3758e415a09238aae4a129bbf2d5468b", "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "c753521ba6fb06c12369d6fff814bb704c682ef5", "978716708762dab46e91059e170d43551be74732", "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "e9d549989926f36abfa5dc7348ae3d79a567bf30", "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "dd749916f9705a55881f77f4211f1b0051e4885f", "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "9812542cae5a470ea601e7c3a871331694105093", "95bdd45fed0392418e0e5d3e51d34714917e3c87", "69835bdd4da26fccd54f4a8d351f71fd1ba63a92", "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "767ac8398e845779be111eb4ce8cb60a8b69a511", "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "12d62f1360587fdecee728e6c509acc378f38dc9", "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "bccadacb4689e060711d95082ab9d0ed4e0c4e74", "4a91be40e6b382c3ddf3385ac44062b2399336a8", "00e3957212517a252258baef833833921dd308d4", "31da1da2d4e7254dd8f2a4578d887c57e0678438", "ae5983048e59a339c77fee89e9279a4a787ba985", "1822ca8db58b0382b0c64f310840f0f875ea02c0", "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "a80d8506fa28334c947989ca153b70aafc63ac7f", "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "7f4040b482d16354d5938c1d1b926b544652bf5b", "2f1972f1fa665f3306a487de9d004dfece719c0b", "e5a9768dcfa9cdd079ce597e8e9324336fbbf1c8", "93e451f71245f8e5ba346a48de2d09c0bccc3c22", "1e7ae86a78a9b4860aa720fb0fd0bdc199b092c3", "b8771c3c3de2444b74e637f187e972eddd51506c", "1e1f664effafaf3f0f03889aa335125ed7ee42cf", "15f5c638c4cef6e8de5a2fb26e981f263c828a3e", "dfecaedeaf618041a5498cd3f0942c15302e75c3", "acd219a3cf9798af43d67237ac06232065dac357", "8fda2f6b85c7e34d3e23927e501a4b4f7fc15b2a", "b55e70df03d9b80c91446a97957bc95772dcc45b", "daa4cfde41d37b2ab497458e331556d13dd14d0b", "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "8bf4b09d9e5667b65336d71d7d917eab5fc26fbe", "c3a3f7758bccbead7c9713cb8517889ea6d04687", "85674b1b6007634f362cbe9b921912b697c0a32c", "1b794b944fd462a2742b6c2f8021fecc663004c9", "7c953868cd51f596300c8231192d57c9c514ae17", "c13211a15abd3ca187ef36b9f816891f901ba788", "ede5982980aa76deae8f9dc5143a724299d67742", "ca6ca00a66795fd6c051364a375bda9901758937", "1171ec9250743c349e5218d4a01c4fdad94c7707", "795ea140df2c3d29753f40ccc4952ef24f46576c", "cd4c047f4d4df7937aff8fc76f4bae7718004f40", "8a3c5507237957d013a0fe0f082cab7f757af6ee", "dac733fb6f7a4845063d3dd494410f4b38431336", "1389ba6c3ff34cdf452ede130c738f37dca7e8cb", "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "02820c1491b10a1ff486fed32c269e4077c36551", "e58edf6e667afe41538eb19a0528e9b29dc88d7d", "31d51e48dbd9e7253eafe0719f3788adb564a971", "17c0d99171efc957b88c31a465c59485ab033234", "a065080353d18809b2597246bb0b48316234c29a", "287de191c49a3caa38ad7594093045dfba1eb420", "239958d6778643101ab631ec354ea1bc4d33e7e0", "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "7d73adcee255469aadc5e926066f71c93f51a1a5", "66490b5869822b31d32af7108eaff193fbdb37b0", "9944c451b4a487940d3fd8819080fe16d627892d", "01bef320b83ac4405b3fc5b1cff788c124109fb9", "ca8f23d9b9a40016eaf0467a3df46720ac718e1d", "0ba64f4157d80720883a96a73e8d6a5f5b9f1d9b", "043efe5f465704ced8d71a067d2b9d5aa5b59c29", "307aa94a046a7afa23ffd2ea0c9020e057b238bd", "3fb26f3abcf0d287243646426cd5ddeee33624d4", "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "878301453e3d5cb1a1f7828002ea00f59cbeab06", "a32878e85941b5392d58d28e5248f94e16e25d78", "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "e5fbffd3449a2bfe0acb4ec339a19f5b88fff783", "32ecbbd76fdce249f9109594eee2d52a1cafdfc7", "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "174930cac7174257515a189cd3ecfdd80ee7dd54", "0f9dd79de75a3dce394846369f09c05ddf250e31", "6043070c2f2f592601e90d2c71dc6fafca48056b", "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "350108a9dbb746dc6f127d98342c07d8019e3f46", "2a7b7de7488211471a001044a3a249a117af488a", "45e7ddd5248977ba8ec61be111db912a4387d62f", "22f656d0f8426c84a33a267977f511f127bfd7f3", "156cd2a0e2c378e4c3649a1d046cd080d3338bca", "2f515770d74502d200c3f51ba663fbe600714327", "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "6eba25166fe461dc388805cc2452d49f5d1cdadd", "7ba27dc104ce8d8ed2925f1e982d5d54c7db54af", "5a2eaba870d962896a09fdd220b46980831c07e9", "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "4dd71a097e6b3cd379d8c802460667ee0cbc8463", "ccebd3bf069f5c73ea2ccc5791976f894bc6023d", "4cd0da974af9356027a31b8485a34a24b57b8b90", "ada56c9ceef50aa5159f1f8aa45ca2040d1ed15c", "7557296f49116c1e1a5e7917c68e238a8e5507c2", "441bf5f7fe7d1a3939d8b200eca9b4bb619449a9", "cdb6b1a316995c42bcb90536d6fe17b81cd21b5f", "5c0d105cfcc78d689d948a2aa8d654cab4e545f2", "c94b3a05f6f41d015d524169972ae8fd52871b67", "89497854eada7e32f06aa8f3c0ceedc0e91ecfef", "446a99fdedd5bb32d4970842b3ce0fc4f5e5fa03", "4e6c17966efae956133bf8f22edeffc24a0470c1", "053689f1b58cebce2f5a574bcb240b0130855dd4", "9ea992f009492888c482d5f4006281eaa8b758e7", "d4c2d26523f577e2d72fc80109e2540c887255c8", "a1f40bcfadbeee66f67ab0755dd3037c030a7450", "629093211c6ef089fe53680472c147af9af678d4", "cc31db984282bb70946f6881bab741aa841d3a7c", "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "2c17d36bab56083293456fe14ceff5497cc97d75", "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "fce1c3f4948cf300694c18c3fcc5486cd060af13", "b558be7e182809f5404ea0fcf8a1d1d9498dc01a", "d673d571f467ba23730833befce027b661b62cac", "ff93f127081f54855d1612b39260489a2d9baa0b", "622c84d79a9420ed6f3a78f29233d56b1e99cc21", "969dd8bc1179c047523d257516ade5d831d701ad", "d689063294e217f1ec8b83fe4b60e706f1934787", "64e82b42e1c41250bdf9eb952686631287cfd410", "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "8cc07ae9510854ec6e79190cc150f9f1fe98a238", "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "2223fbd01aabd8792940c9756621e38c669ca351", "5cf12787b9ee536817c0429700c75b98f04192ba", "22c06284a908d8ad0994ad52119773a034eed7ee", "05f3744c2d272910fad0adc3a5fd9e919e005150", "38183fe28add21693729ddeaf3c8a90a2d5caea3", "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "a28adc7e175e03b59a3bec8cdc0172670db55e62", "31e57fa83ac60c03d884774d2b515813493977b9", "3dfbd17bd9caf7bd1d908ff469dec2b61e8a9548", "1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177", "b8978a5251b6e341a1171e4fd9177aec1432dd3a", "085ceda1c65caf11762b3452f87660703f914782", "ec8ec2dfd73cf3667f33595fef84c95c42125945", "0f7723acbe2a8e7bd71d0f2264359ff2e93f7a9f", "081cf6c4a93379b891bf1077ed77b22ddcbadf8b", "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "a422f2d0212f54807ff678f209293a27c7791ec5", "68f09c4615291a88a6cb0268e767ca9e085844fd", "c7cd490e43ee4ff81e8f86f790063695369c2830", "45e616093a92e5f1e61a7c6037d5f637aa8964af", "614a7c42aae8946c7ad4c36b53290860f6256441", "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "244b57cc4a00076efd5f913cc2833138087e1258", "c4fb2de4a5dc28710d9880aece321acf68338fde", "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "113b06e70b7eead8ae7450bafe9c91656705024c", "0561bed18b6278434deae562d646e8adad72e75d", "0c20fd90d867fe1be2459223a3cb1a69fa3d44bf", "19a9f658ea14701502d169dc086651b1d9b2a8ea", "73a70595af6500505b46de91afbe108ce2fc2aee", "fd96432675911a702b8a4ce857b7c8619498bf9f", "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "04661729f0ff6afe4b4d6223f18d0da1d479accf", "b8378ab83bc165bc0e3692f2ce593dcc713df34a", "c1e76c6b643b287f621135ee0c27a9c481a99054", "fb87045600da73b07f0757f345a937b1c8097463", "d06bcb2d46342ee011e652990edf290a0876b502", "bb070c019c0885232f114c7dca970d2afd9cd828", "b1245ada9360b1b9fe90badea088a8685d1a44da", "1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4", "853fc1794892175e2318f55785ca8e2ce6fd7537", "52c65a83434dd45caa6c51aea029e74c10bd4ae8", "3cb057a24a8adba6fe964b5d461ba4e4af68af14", "2f5ae4d6cd240ec7bc3f8ada47030e8439125df2", "5cbe1445d683d605b31377881ac8540e1d17adf0", "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "fdf8e293a7618f560e76bd83e3c40a0788104547", "2804e7407cc5c236da84437e0440947a3faa1145", "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "82024c5f25c9d2efd4aad30a61b6e6bccecba00b", "c146aa6d56233ce700032f1cb179700778557601", "1389184de2f2ffe753ad39744d79648140ea7789", "8ee5b1c9fb0bded3578113c738060290403ed472", "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "be892645c24f800b9b615b496172cd9fac8d5fe8", "2f04ba0f74df046b0080ca78e56898bd4847898b", "3251f40ed1113d592c61d2017e67beca66e678bb", "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "eb87151fd2796ff5b4bbcf1906d41d53ac6c5595", "b3e521baceadee36ac22b6a06266e8abd6a701f7", "b1fdd4ae17d82612cefd4e78b690847b071379d3", "d42dbc995318e2936714c65c028700bfd3633049", "c82028f8fc6762e4f02a0001cf9d85e316274598", "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "e523c19503a81eb916cfced029a96405be2cd002", "6f9026627fb31d4cfb08dbcc4ab852945dc42252", "247b5d69370f6e3af9f36f1f9dcf482d63f771d7", "71eecb0cf86f83585c0eab8297645b2a21942cb8", "28bac5bc6e8a15f704563c5cb723b7c71f5413fa", "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "2d294bde112b892068636f3a48300b3c033d98da", "d3b0839324d0091e70ce34f44c979b9366547327", "b294c35759dc38c4bb4723fa953310f7f55b7fc0", "e4e07f5f201c6986e93ddb42dcf11a43c339ea2e", "6342a4c54835c1e14159495373ab18b4233d2d9b", "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "a5f35880477ae82902c620245e258cf854c09be9", "37ce1d3a6415d6fc1760964e2a04174c24208173", "5c8672c0d2f28fd5d2d2c4b9818fcff43fb01a48", "aee3e3b9ac91fc90dc6db127f27764d873b29a89", "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "166b3ca3a43102e7d0a35d883e650ec4bbf2c3a5", "3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f", "f339aeb5911229c6e2a5835ab6f32080e137781c", "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "1ca815327e62c70f4ee619a836e05183ef629567", "68c1090f912b69b76437644dd16922909dd40d60", "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "136f92989e982ecf795cb27d65b48464eaec9323", "4eab317b5ac436a949849ed286baa3de2a541eef", "40c8cffd5aac68f59324733416b6b2959cb668fd", "9bd35145c48ce172b80da80130ba310811a44051", "1606b1475e125bba1b2d87bcf1e33b06f42c5f0d", "f4ba07d2ae6c9673502daf50ee751a5e9262848f", "a1e07c31184d3728e009d4d1bebe21bf9fe95c8e", "ed07856461da6c7afa4f1782b5b607b45eebe9f6", "9207671d9e2b668c065e06d9f58f597601039e5e", "19705579b8e7d955092ef54a22f95f557a455338", "0974677f59e78649a40f0a1d85735410d21b906a", "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "0d746111135c2e7f91443869003d05cde3044beb", "fcd3d557863e71dd5ce8bcf918adbe22ec59e62f", "4dae1c18838233338481e3ed29bf6e1252cb68f2", "be632b206f1cd38eab0c01c5f2004d1e8fc72880", "02bd665196bd50c4ecf05d6852a4b9ba027cd9d0", "7117ed0be436c0291bc6fb6ea6db18de74e2464a", "f070d739fb812d38571ec77490ccd8777e95ce7a", "f074e86e003d5b7a3b6e1780d9c323598d93f3bc", "940e5c45511b63f609568dce2ad61437c5e39683", "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "35d272877b178aa97c678e3fcbb619ff512af4c2", "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "f27b8b8f2059248f77258cf8595e9434cf0b0228", "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "5789f8420d8f15e7772580ec373112f864627c4b", "2a171f8d14b6b8735001a11c217af9587d095848", "726b8aba2095eef076922351e9d3a724bb71cb51", "775461c0ed08a24cdaeca8975fadfc9846d509fe", "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "1966055f13a7475100d18843f85717f312511805", "293d69d042fe9bc4fea256c61915978ddaf7cc92", "3176ee88d1bb137d0b561ee63edf10876f805cf0", "6ebc601bba067af64b57d59039319650168df4c9", "93b689145277f7594e4bc0af2ffec5d3a31cc1fa", "42ea8a96eea023361721f0ea34264d3d0fc49ebd", "e8c6853135856515fc88fff7c55737a292b0a15b", "7384c39a2d084c93566b98bc4d81532b5ad55892", "4c6233765b5f83333f6c675d3389bbbf503805e3", "a4de780b8b333f073667c1f2dd7b3ae54a97f380", "74ba4ab407b90592ffdf884a20e10006d2223015", "01125e3c68edb420b8d884ff53fb38d9fbe4f2b8", "1efaa128378f988965841eb3f49d1319a102dc36", "a5e5094a1e052fa44f539b0d62b54ef03c78bf6a", "961a5d5750f18e91e28a767b3cb234a77aac8305", "2aea27352406a2066ddae5fad6f3f13afdc90be9", "95ea564bd983129ddb5535a6741e72bb1162c779", "afdf9a3464c3b015f040982750f6b41c048706f5", "d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1", "7789252476073a77e80fb0668eecf94a99b81d8d", "0e986f51fe45b00633de9fd0c94d082d2be51406", "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "37eff004718e0d66a249310ab5108206d158d945", "1c8d585fb7e82abf43f45014494018a843774d2b", "44fe6787f864812e666fbed8c18e18ad0eff190f", "2dcbd8f2533dd08d09987bd069eeacbd6024731d", "a71185a29a989d9ef1bb6f2a3e225f1746640a89", "c872d6310f2079db0cee0e69cc96da1470055225", "58303432a25cc86bfe9c77cf4c04f91695a24304", "e28915617dcad57c84f5feb2b93763548a44defd", "0ad8149318912b5449085187eb3521786a37bc78", "582a6fdedcde646cdc4558106832f247dd4b27de", "3813d74ddf2540c06aa48fc42468bd0d97f51708", "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "b3f18013079e0535dcda045ac5145c201287aec3", "ab540c5be9f7ef688d3cd76765fcb794b92531fb", "04743c503620baffd75f93f8e4583fcba369ac9d", "1fe59275142844ce3ade9e2aed900378dd025880", "50decd1955df6c7c6edb2d74d1663edc7a0f53e2", "8499c03161918d40f11f649a5fd4510aa43632f6", "cc31c2f2010db1cab040a937a37c4873bb4ba3a1", "625075ac5a48c9ac5e90cb6a7fece1f7a8ba2b2c", "20b038c50cc7148dfb364e2de51cde120c907c9f", "9fd2859eb2e277bcf42a455741f623480238e381", "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "6f9c14c9d4cd38e70598e4135419741c4f7eacf0", "5ff63170ae8eb78a055ab34f52b33756ce2b738e", "a11f5e74b13a6353d14e024d06a902b9afa728b3", "188d26a005b6aac1448b9c52529b93a186c33685", "e58f08ad6e0edd567f217ef08de1701a8c29fcc8", "337e67c8c5247695bb384c35272beaf47d464c75", "021c3e8c3c64c25126315911f31cab1edca82ab3", "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "d437a69d631b48583acc19c946b48e7d601d7853", "665f0763ad7f320cb59fcb6a745906d3d6799d99", "6c97af4c5d9908c288626d833818d7095f635765", "7a97de9460d679efa5a5b4c6f0b0a5ef68b56b3b", "d50c6d22449cc9170ab868b42f8c72f8d31f9b6c", "9391618c09a51f72a1c30b2e890f4fac1f595ebd", "a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc", "70af8e4ff3c029aea788bc28b45c56932b50c056", "06560d5721ecc487a4d70905a485e22c9542a522", "5a9a8d57df9646acd559b843df3ea891b7b6d026", "52ed55387cd6e168b91391110fb4319160e82f50", "5061f591aa8ff224cd20cdcb3b62d156fb187bed", "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "68eb6e0e3660009e8a046bff15cef6fe87d46477", "4425ea826207e1e0266ca26968edab2b9d29a3c2", "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "0d8cec1b3f9b6e25d9d31eeb54d8894a1f2ef84f", "2783efc96a0d59473e4236ccf1db6ed7e958839e", "a47f834281c39b1b851757b807c92f43dc975206", "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "14f6309369cc8d4826df11522de318b266df3bd5", "ad8bd7016132a2f98ff1f41dac695285e71cc4b1", "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "e151c99b5e55bfc03047a2c6c2118cd9e4ad829b", "1dcccd889562daec06fee30829c61a4b5a386cc2", "bf107f242abea2e52d82dcd834e58b774205ec84", "6d62819a874ce889dde472cca0991ef90a43cb47", "c5c7c5241023edba35d864820e5c900c78605c1c", "88e2574af83db7281c2064e5194c7d5dfa649846", "3df44e3a547c7ccbc1222bdeaeef6c899c59dc30", "85955fe6cdf4f9f35fc9eab6cc4fccbb819e68a1", "a83fc450c124b7e640adc762e95e3bb6b423b310", "f926020afaf2fcaf15fd6423dc3d76f88551701c", "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "1bc9aaa41c08bbd0c01dd5d7d7ebf3e48ae78113", "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "5da43ff9c246ae37d9006bba3406009cb4fb1dcf", "582157494d72dd28dc28172f04dfd5f25fb17bff", "7ac88a1ccdac2704b1dd868296638e276c75cd1c", "6dc784e98680f417d8dd1a78a417b8ce803ec143", "856b8576999517c0cb7d95aef0159432604a8447", "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "c733e4a14b51623120da9b4571b4409bc99ab0cd", "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "7f8d44e7fd2605d580683e47bb185de7f9ea9e28", "bcf2710d46941695e421226372397c9544994214", "a6270914cf5f60627a1332bcc3f5951c9eea3be0", "a1e1bd4dacddc703a236681e987a09601ee1016d", "cc96eab1e55e771e417b758119ce5d7ef1722b43", "0341405252c80ff029a0d0065ca46d0ade943b03", "91e89cedd4093bfe176532530ddb960f2767aca5", "6bf57ae6c63873253d1b95782f8c6b7bbc91b9ac", "963d0d40de8780161b70d28d2b125b5222e75596", "0c251ee4c1f4cac3929cb889c525785335237ed3", "8f4ca94d4f96e1fcf81d6a8928a9ad9b744441ac", "36c2715522c3df4237d8e034dfe49d67eafd6382", "f8e3a0f41b41312d4cc6bdd0854ba5c805ee6fb6", "16243557482241171beccbbd694976103cc941ef", "9a0b2816f6f1ee04b54c7bf8269c5f2f31049f0e", "16597862a1df1a983c439e82e0462424f538bb48", "66449f6eb492864c86ab80e81417b5003a76a36b", "2a84f7934365f05b6707ea0ac225210f78e547af", "3be8f1f7501978287af8d7ebfac5963216698249", "1188c925d90e93a205c5fc15d11fb2ae02660f2e", "c05ae45c262b270df1e99a32efa35036aae8d950", "d46509935f7d485295587d4fc201c42108760379", "6b0b10836197d7934f53080a39787b7d8d2b81f2", "0eb45876359473156c0d4309f548da63470d30ee", "a92b5234b8b73e06709dd48ec5f0ec357c1aabed", "8c3754f43d604dfe6d149a051eeaff8c2237f217", "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "9a6b80f8ea7e5f24e3da05a5151ba8b42494962f", "3abb51739b90c8bfd665e045b0eeadc87e065b63", "8f32df80a5f3b3b60599614990fcd6a7d5ae9619", "b907537c602b95948da809f7d4aff4bc959d8ba1", "6c0e0c3e66622023c64c664c3411a6fe1c87d5c5", "8d646ac6e5473398d668c1e35e3daa964d9eb0f6", "27f1fd71538ba420c63aa4c74704718a0633b22a", "445e3ba7eabcc55b5d24f951b029196b47830684", "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "1287639dca7a7510af82f0840012db9d7873930e", "76b11c281ac47fe6d95e124673a408ee9eb568e3", "caf36ebfe947b911b247905f3995b46a8c635892", "3505c9b0a9631539e34663310aefe9b05ac02727", "fce94bd316dad2e38091549e15aa2d84f2e93943", "68e6cfb0d7423d3fae579919046639c8e2d04ad7", "e883cf759c3abecf59bf9f13053b1eb59bde01a6", "4543052aeaf52fdb01fced9b3ccf97827582cef5", "3a2cf589f5e11ca886417b72c2592975ff1d8472", "9ca7899338129f4ba6744f801e722d53a44e4622", "4931258421696faf422654c83c25e6331ffc640a", "862d17895fe822f7111e737cbcdd042ba04377e8", "88e2efab01e883e037a416c63a03075d66625c26", "699b6cbd72ee0274699b939863813499c377ea00", "42a48ce71daa2d05c698d2e9e90335320ddd9841", "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "3fe53257e357ac1ad0e9cfcd2d2a452f3f54a6b5", "8d8d333eb194bce847a4bbfc85fe332643622a34", "d1fac29bac01b7412770902914f67ed7d6b31516", "fc94624942d6276951c3d60254de070cb615dc33", "79584ed8638392e253ffae2d5ec936239d088285", "a602b95a0e24c224f5812d08aa39b20588de699e", "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "1a93f3449764258a6a0275054c435a334ed95a44", "87147418f863e3d8ff8c97db0b42695a1c28195b", "1b7f9cc57ab8f3f551bdb0d5f153191ec403895e", "e1aa78cc4df90564da1dcdfd63e04c3cfd0e84e0", "1768909f779869c0e83d53f6c91764f41c338ab5", "12831caca9674e0ab3fe2fc02a447ddb5a372994", "a0798a0a422520241cc02282946882dd1ef853cd", "ef559d5f02e43534168fbec86707915a70cd73a0", "053931267af79a89791479b18d1b9cde3edcb415", "e1e2b6a8944a4e6f195b6f7371ee9e6b0684ae6b", "b8658fc3b17e75afce025bcbb161dd02e7004b1f", "a251171bb335608b3019f7b05b167b7e49a8dc23", "187f3ee3bc50a1f2471edc80d707e4fa1cac5b0b", "0700d36427b3a6cb6223a639ffea11570400ab25", "c36ae7c5e9f9f992a5939e07283183707ee0a787", "40033c6a0b534a6023a78ee2a144edd7f10fa696", "b0b267117315e570209e92744d5ae4cf1927f31f", "303a7099c01530fa0beb197eb1305b574168b653", "ee34cfff3c1c0ffb71ae6231797129b459d81e3e", "3661a34f302883c759b9fa2ce03de0c7173d2bb2", "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "924ba14f62e3c8da005082401625b3f71587198a", "0293721d276856f0425d4417e22381de3350ac32", "46b2ecef197b465abc43e0e017543b1af61921ac", "85dc159dd1eec52147b24f32f8ddab135abeb8ad", "9f829eb41c2ecb850fe20329e7da06eb369151f9", "5e2b918f2dee17cb79d692e10aa2103ca9129e2c", "5335e98334e37114c5bcf076189d1cba887a813b", "687a90f3efdcfba4aa0dd35f91df383038ccac5e", "28a45770faf256f294ce3bbd5de25c6d5700976e", "9151f229e7b4e318b0b12afe99993da0ee5e0e34", "df78dfab5dc60927d1d1531c7f8be95792e1a5a5", "4a75d59c9c57da420441190071ba545eb4a75e1e", "55e66f369983474eba525f0f718c37794027075e", "c6752af29ae0d5f3af8c823be02cfec38a8b65f9", "3ef1db04e9f4d3c986d3eef5216562c844e9faba", "a9116f261c1b6ca543cba3ee95f846ef3934efad", "2dbc57abf3ceda80827b85593ce1f457b76a870b", "7aac397df8109d8d9ad55cc2c1f9a07589d58d3b", "96d3969dba2d1000f97de0b7cca50ea721d1f79d", "a627234002439d5f89da44bf83b8fd0b503812ad", "b908edadad58c604a1e4b431f69ac8ded350589a", "9901f473aeea177a55e58bac8fd4f1b086e575a4", "e1630014a5ae3d2fb7ff6618f1470a567f4d90f5", "3f0ad194165036a13421a8b43fd71313f8f1877f", "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "90ddf1aabf1c73b5fc45254a2de46e53a0bde857", "488601935d69906f925381b92c7ecff069a79dbf", "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "7e9b6aa4909042d5f1faf074c50383e465e4508c", "2eb1dc9d1cf571462f7bc616b0dc52c8e402e331", "816030cbf3f887cdc498591e916ae58fdd4ed29f", "927ac98da38db528b780f14996bb02b05009c9cc", "2976605dc3b73377696537291d45f09f1ab1fbf5", "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "a70fa8af52e4cc32dae09e6e753f1dd3ec198327", "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "09fc8a48b2a9746005b33743fca9bc8b17c724f5", "aca8c4a62ed6e590889f1e859d7bc79311fa6f4d", "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "703099734f70f0cc00773ee54b4385f89afa7afe", "8a63a2b10068b6a917e249fdc73173f5fd918db0", "dbb9601a1d2febcce4c07dd2b819243d81abb2c2", "c4f3375dab1886f37f542d998e61d8c30a927682", "4d3805141f21e88b1d32cf39e65e42ccf4287504", "969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce", "d56a262763c84d2bb21e9ea40f2517610f61d05f", "2fda461869f84a9298a0e93ef280f79b9fb76f94", "231b769f2e13724754fa09e7e5ab7d4b843075a0", "277c72916f3834cdba6c4cea1c8c651d2b46b78b", "826f1ac8ef16abd893062fdf5058a09881aed516", "6e12226cf0da453dc4b9879d7af6b43af3c31d2b", "0c049cc7320f9b92f91210ab6961aa6644c867cd", "1ac4c3ede7e6a630c7dcbf204a14a2215ce9f1cc", "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "7b8b1571639f901275da22ee8f1de852350bf38e", "3947fe473d8cfa443ea4cf6571d2aebe7b2066b6", "ab703224e3d6718bc28f7b9987eb6a5e5cce3b01", "1eab1ffed59092d6bf19900b7fb283e6dd0d01a2", "1d6c0e7b9591ea332671080df2e53119a34c90bc", "a49253cfb4f602e26b260733b22cbf0dd5f79010", "24e6e8d725f08c44dac42a588f41092e392a3514", "dc9915636dc5a3131493cdbdc02a52f6d64f6e2b", "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "bb35ef89addbbc28d960bc0cab70d8a29fdf6eee", "259bd09bc382763f864986498e46ab0178714f58", "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "b9237a613306050cd6d194c71c58a7f85bfb70e9", "05ab005c19a7c06c2570727dedf1d77df41b4884", "12a155be0f3d5e4c8bf08cc79fdb964bce1f4b55", "763b152aa6c0c6a2d4390fe0f61d95ed6f57d583", "e57ce6244ec696ff9aa42d6af7f09eed176153a8", "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "7a670b80c7e95b85efc6ef677cae539c4df20e4f", "91fe49e7d80aca437f1d951ce58e87f7353c81ff", "19bfe748ec8957ec82a7fef0f2585bb14ab8bdd4", "441d532b4207ca57b37eb210a79373c556d90846", "01d72352e96a3ed9aac4ddca76620014e8fd73cb", "21a2f67b21905ff6e0afa762937427e92dc5aa0b", "46e46dffe4f8b724ec51179b3be1ae321fdb2d39", "b40881a905cf6c4963658df4f64b860f9b1755fe", "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "6cb68c1f7558e01966ad1e1fa81feeeae3dee666", "29921072d8628544114f68bdf84deaf20a8c8f91", "add9dc1725f8b96d2f7c5e242de29205096e7c98", "cc8c5f23038663abf98874612a8b7a1bb000b990", "731d33256d42dc4146019954c46c566aa666d7f2", "a2a200fb7cce52a3394f15def028ebfad3dcbe1d", "d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f", "2b507f659b341ed0f23106446de8e4322f4a3f7e", "8ad0a88a7583af819af66cf2d9e8adb860cf9c34", "6baaa8b763cc5553715766e7fbe7abb235fae33c", "6f491fcff042991767a8d5c3a919ce169e0e65f0", "e0162dea3746d58083dd1d061fb276015d875b2e", "ae8ed3b0b8043c5af76390751938edfd100fa9cd", "1423037dd56f85453cd4257861821aeeb7478bc1", "53a8cb1e6a6c29b75eb683c99551288a5d28c1a5", "8c3a7bb72c59628e9b7982d90525ff9654854946", "9fec253eb41438a9ab13bd5156a18c2c08ff610a", "3965d61c4f3b72044f43609c808f8760af8781a2", "2776e8cff4249a7775c040731495878135972e77", "146a7ecc7e34b85276dd0275c337eff6ba6ef8c0", "023be757b1769ecb0db810c95c010310d7daf00b", "8875dcf2836315839741fd6944f249263408c27f", "332339c32d41cc8176d360082b4d9faa90dadffa", "2f73203fd71b755a9601d00fc202bbbd0a595110", "958de17ca69d5931bb520b0c10ea8ff6de06d46d", "4b02387c2db968a70b69d98da3c443f139099e91", "7df4f96138a4e23492ea96cf921794fc5287ba72", "755416b8d2080f5d9e894130e5115a471e9d8793", "fa59e9f47e2a467afc81fe1ed737563a3eabf223", "7afc3db34d9e16a70064ee4937b0425045cdb4e8", "6623d8efb11bdca7348249c357902a5527a71e84", "db49a5e6d73de616c66904138a8a19ce0a329c4d", "2a31b4bf2a294b6e67956a6cd5ed6d875af548e0", "6db593d99fabc7f787f41786cb2e37c084f1ad19", "a7a0099caf89bedbf4de1c61499f999ea4fc7d98", "09701199771e344b12dbfc799e0f82456764757f", "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "3a0425c25beea6c4c546771adaf5d2ced4954e0d", "bc93a5d09aad16356808843338bdd34df6b5b01b", "c9a8ad7f5c08595f694e362e861fd3621d0159ce", "6ad5a38df8dd4cdddd74f31996ce096d41219f72", "19d1b811df60f86cbd5e04a094b07f32fff7a32a", "143ac3b7338e240b106863d35177c4567ef9c1aa", "40ee38d7ff2871761663d8634c3a4970ed1dc058", "4fc96ad5c9c0155961ace769f3a73b728854fa98", "c09032896722aa35a905d8905c1cfe67cead6e01", "b29345a35287e5e978bc1dea246c609bcb564ace", "286a5c19a43382a21c8d96d847b52bba6b715a71", "8544cce3a7f85e4952acf51c464f1fce15250760", "65da43d70b16fdb32b182e4ede59fdb9dc3f3350", "a94aac3caccebd82413dd05707ef8bf525dc46b9", "33bd8406c5630e3651ea514d833da8396d7a5c03", "3e0a12352fe3e9fb9246ee0f81ff7fbf0600f818", "79f69d04a9614fbeab554048802c25118033cbd6", "c9bbf31afbec278ca735e91cf5e9c70dd3aa41a4", "0a7a7b3f05918fb4fc33f04cb7e31232fa197f76", "f854faafdd6c4f4144012f1de26573eddabd040c", "40905b69c5d9fe95a25de37877f5045061c61a20", "196f815e31697a8271219552ea8362d7fea0640a", "b92f276ecf9077f7c09ce410336f8b9a819df4fc", "d3b5a52062e5f5415df527705cb24af9b0846617", "e579ae31f4c2a20490a1e774b1b959203be0135d", "2a6b48e5c972355c9fb91988b324c2faf6bb1c5a", "8bf7212a3ccaa93fcf202654c8e123a62bde71d8", "a1e198454bd0868b4da9bca7a35218dd235cfdda", "a1b48435f7a94304e6da617877201c16bd46d798", "e7f268bfe0016412db538b57300d46d7bd728867", "1da1903050c8af71c7bdb3cd608e1182826ef72e", "8d3114a3236ec9adabcf0c40613a23f00c272a1c", "95a835cdb5dc46e4de071865f9dccdaf9ec944ad", "fef89593599b78db7d133fc6893519b3ee8ff8d2", "6643a7feebd0479916d94fb9186e403a4e5f7cbf", "d925540a8cdedb92c7f20ebfd9b8baf36fe6caa4", "696bfa059fcc459c30af21c84d116ad77fb11197", "d9434e64e880640243f5257dacfdcc0355a577dd", "46df854f57b6553b4b3238779e46bf2a3a3fffcf", "1d679b371c9dfd833cee0925de483562d2bc7d88", "2f5d44dc3e1b5955942133ff872ebd31716ec604", "0b0b0d9b15613a6e3c4f9a4dd1c17c0313ca4303", "12ad3b5bbbf407f8e54ea692c07633d1a867c566", "95f12d27c3b4914e0668a268360948bce92f7db3", "ccf16bcf458e4d7a37643b8364594656287f5bfc", "5711400c59a162112c57e9f899147d457537f701", "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "1c1f957d85b59d23163583c421755869f248ceef", "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "3bf249f716a384065443abc6172f4bdef88738d9", "5721cd4b898f0e7df8de1e0215f630af94656be9", "4a4f0a47de1567f3f913e2632921797df36b2525", "1d49ee6afb82b5fbacf69628f52e76dc33341643", "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "0a6d344112b5af7d1abbd712f83c0d70105211d0", "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "5f448ab700528888019542e6fea1d1e0db6c35f2", "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "562b21e58805061f898c421848ec837a70d3017d", "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "5df17c81c266cf2ebb0778e48e825905e161a8d9", "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "4f742c09ce12859b20deaa372c8f1575acfc99c9", "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "95e3b78eb4d5b469f66648ed4f37e45e0e01e63e", "1824b1ccace464ba275ccc86619feaa89018c0ad", "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "8a336e9a4c42384d4c505c53fb8628a040f2468e", "3c086601ce0bac61047b5b931b253bd4035e1e7a", "671bfefb22d2044ab3e4402703bb88a10a7da78a", "375435fb0da220a65ac9e82275a880e1b9f0a557", "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "837e99301e00c2244023a8a48ff98d7b521c93ac", "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "30f6c4bd29b9a8c94f37f3818cf6145c1507826f", "5da98f7590c08e83889f3cec7b0304b3610abf42", "b4362cd87ad219790800127ddd366cc465606a78", "2724ba85ec4a66de18da33925e537f3902f21249", "4b936847f39094d6cb0bde68cea654d948c4735d", "33ae696546eed070717192d393f75a1583cd8e2c", "992ebd81eb448d1eef846bfc416fc929beb7d28b", "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "21f5f65e832c5472d6d08f6ee280d65ff0202e29", "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "500b92578e4deff98ce20e6017124e6d2053b451", "52d6740dbed1dc39601e5badec0b56021dd6ea5d", "deb89950939ae9847f0a1a4bb198e6dbfed62778", "e69a765d033ef6ea55c57ca41c146b27964c5cf2", "624496296af19243d5f05e7505fd927db02fd0ce", "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "708f4787bec9d7563f4bb8b33834de445147133b", "35f921def890210dda4b72247849ad7ba7d35250", "ca83053d9a790319b11a04eac5ab412e7fcab914", "ad5a35a251e07628dd035c68e44a64c53652be6b", "2c14c3bb46275da5706c466f9f51f4424ffda914", "4836b084a583d2e794eb6a94982ea30d7990f663", "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "034b3f3bac663fb814336a69a9fd3514ca0082b9", "64cac22210861d4e9afb00b781da90cf99f9d19c", "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "06c2dfe1568266ad99368fc75edf79585e29095f", "fd809ee36fa6832dda57a0a2403b4b52c207549d", "1b8541ec28564db66a08185510c8b300fa4dc793", "234c106036964131c0f2daf76c47ced802652046", "bab2f4949a38a712a78aafbc0a3c392227c65f56", "45429c281e30f9e87ebcd1ae42e0656d2ead24d1", "11fc332bdcc843aad7475bb4566e73a957dffda5", "696236fb6f986f6d5565abb01f402d09db68e5fa", "397085122a5cade71ef6c19f657c609f0a4f7473", "37381718559f767fc496cc34ceb98ff18bc7d3e1", "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "5f4219118556d2c627137827a617cf4e26242a6e", "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "1fb980e137b2c9f8781a0d98c026e164b497ddb1", "12d8730da5aab242795bdff17b30b6e0bac82998", "6ba6045e4b404c44f9b4dfce2d946019f0e85a72", "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "c46a4db7247d26aceafed3e4f38ce52d54361817", "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "266cb58a82ce44ce8f0cffbfa89e44227096f424", "8191f76d9df5c59186859c4834026c8e0fb42922", "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "89002a64e96a82486220b1d5c3f060654b24ef2a", "1672becb287ae3eaece3e216ba37677ed045db55", "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "029b53f32079063047097fa59cfc788b2b550c4b", "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "5239001571bc64de3e61be0be8985860f08d7e7e", "995d55fdf5b6fe7fb630c93a424700d4bc566104", "f354cd137fdc40a3ff6a4004f2a052966c275627", "5180c98815d7034e753a14ef6f54583f115da3aa", "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "0eac652139f7ab44ff1051584b59f2dc1757f53b", "1c1a98df3d0d5e2034ea723994bdc85af45934db", "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0", "f1a58bb78149f408471ce166a13cd9176e5edc5b", "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "72a1852c78b5e95a57efa21c92bdc54219975d8f", "f2d5bb329c09a5867045721112a7dad82ca757a3", "6966d9d30fa9b7c01523425726ab417fd8428790", "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "f25aa838fb44087668206bf3d556d31ffd75235d", "2d1757eb136e9e7ce79363e7acd76d67a053b727", "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "5810ce61fda464d4de2769bd899e12727bee0382", "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "80ed678ef28ccc1b942e197e0393229cd99d55c8", "8c048be9dd2b601808b893b5d3d51f00907bdee0", "e52272f92fa553687f1ac068605f1de929efafc2", "cc4fc9a309f300e711e09712701b1509045a8e04", "f61829274cfe64b94361e54351f01a0376cd1253", "88d63a0cc0b8a5303bdef286d6df118bb1d44d26", "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "ba21fd28003994480f713b0a1276160fea2e89b5", "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "08ecc281cdf954e405524287ee5920e7c4fb597e", "c858c74d30c02be2d992f82a821b925669bfca13", "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "f7ae38a073be7c9cd1b92359131b9c8374579b13", "f0ae807627f81acb63eb5837c75a1e895a92c376", "c17a332e59f03b77921942d487b4b102b1ee73b6", "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "b5f79df712ad535d88ae784a617a30c02e0551ca", "4068574b8678a117d9a434360e9c12fe6232dae0", "b730908bc1f80b711c031f3ea459e4de09a3d324", "ab7923968660d04434271559c4634790dc68c58e", "c41a3c31972cf0c1be6b6895f3bf97181773fcfb", "771a6a80dd08212d83a4e976522e1ce108881401", "7eb85bcb372261bad707c05e496a09609e27fdb3", "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "11ba01ce7d606bab5c2d7e998c6d94325521b8a0", "eb48a58b873295d719827e746d51b110f5716d6c", "36219a3196aac2bd149bc786f083957a6e6da125", "51b42da0706a1260430f27badcf9ee6694768b9b", "607aebe7568407421e8ffc7b23a5fda52650ad93", "052c2706203a231146ed170d2ba15b3a63afe031", "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "8dd162c9419d29564e9777dd523382a20c683d89", "131e395c94999c55c53afead65d81be61cd349a4", "aa4af9b3811db6a30e1c7cc1ebf079078c1ee152", "4e3b71b1aa6b6cb7aa55843d2214441f0076fe69", "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "c2be82ed0db509087b08423c8cf39ab3c36549c3", "84e6669b47670f9f4f49c0085311dce0e178b685", "266ed43dcea2e7db9f968b164ca08897539ca8dd", "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "cbaf7bef33ef0506e507a8910fe5b756e9b20e76", "d68dbb71b34dfe98dee0680198a23d3b53056394", "d03265ea9200a993af857b473c6bf12a095ca178", "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "232b6e2391c064d483546b9ee3aafe0ba48ca519", "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "1f9ae272bb4151817866511bd970bffb22981a49", "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "1fe1a78c941e03abe942498249c041b2703fd3d2", "b7043048b4ba748c9c6317b6d8206192c34f57ff", "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "93884e46c49f7ae1c7c34046fbc28882f2bd6341", "456c8c8ba65fb933166cce1699a2d12a37f60233", "6a13e4a294115c439063617ec31d26f156e1142a", "352fa54953cfe0da7f1547bc6fdc43e0e53595cd", "e44b644dba198a4f8de553c9795aee77c0d23f37", "3bc9d71a7d1d3641a3ee1df46cc45ec62ffd2020", "4cfa2fe87c250534fd2f285c2300e7ca2cd9e325", "3be8a8ddb40399f1b0c02156440167152f8b0cba", "39bbe9885ad1e12e79bc620d83f7768d2fc04994", "c4be56287fd666f9cfff257018a42e00dc56499d", "c3500a6300ac14256fc836a53eb9c56f007cc61d", "02d6df5060281cf13fbef68a8f1ddc29983fe8b3", "ca22c95ccea3e5ceaf95956811cb507af1bdd672", "c694b397a3a0950cd20699a687fe6c8a3173b107", "00e8968c5922b71bf3be2e9733fce82f3c40cf44", "77addbb49abb80ccd3ebfb5b6f2d3b0687ce90f7", "c7dd846c0abc896e5fd0940ac07927553cc55734", "d5bef023a7d1032a5c717109a9c1b600ee1e8a71", "8732d702aeb08e9c604b36dcaa5933aea91a228d", "fbb6e707c8a5f189d8ad416597e23671b884448b", "de766084610ee5db289e94bf2865369d6bb89444", "4cc0bcc342647693c21a0ca2cd1e4064faf2fb47", "bc99f98b5f1fd158cc31d693061c402a36222dbb", "19e4c7d3f3b60235848fdf1e2d23f6fa6f5b6586", "470b89e2c5248eb58e09129aa9b4d8bc77497e7e", "6414453e462f1a022302bce98cadd8a817629521", "4417258e4fe9e60d044a72197cb67471272991a5", "e810ddd9642db98492bd6a28b08a8655396c1555", "16f403ab388c27768155b466fcd828b4ad2a41b9", "59d10820e0a04d2d1acc43bb18a76c52e9946721", "b33e062f36dec4e49558133426b50c2536cb0a1b", "d3fa2f9b41e43a9e7ff3f940eabecd98cdd0082e", "01e5c95aa20a44eed21b5037697043e57f606f3a", "e1c0e8f58fa035048f7762e1ec9780c37be2af62", "886fc74b943011ce5ce192ff98d6ea9dcac7ef11", "2845cc51262f3af6aafbad62690a23e9bc847b07", "5c48f97a8a8217025abafeababaef6288fd7ded6", "c7fd727cc1b68a611bfda0e273d2524007651233", "94e008564e4f091a887fdda379e7d26d90920c54", "44bbb7cd8b3cba9c00ba55746867fb29df59102f", "928d711b592aca0635e3b4717f7cae31f5aaa9ce", "41915a85714bbfea53af9e65abc01a7b54e5cd13", "38cc2896058131e4656443aedfb1b9dae61b99cd", "27276945ce8b103b2341729e99da4e76acee19c6", "40ce2567ccc2552287f8a1c25e9f6086efa6bf8f", "1412f4024babbc01b671f7ee4a22d86db1545268", "426b47af132293e9ffe6071a3ede59cfdc1aa3fb", "fe4609fdf8fc8ea18204ffe673c2b06acbe8d0fd", "d2a8779b4f533e1dce709ced55196ef28e9a4c90", "5432392d916e730c53962be202c115133e6d7777", "4ed4b1fbba79a1f02c290ff36ee8bc4d78247bae", "a8e5d204549fcf93c5bea88b0f99a2e4da9648e7", "f0d18a5d205c23d1309387dfbd4ecfbcf3b1687e", "4cd85c27016362a23936d670b8b0cc0abcfe5a8f", "c2fafcbbf334447e8e3a18a2339eaff63ed2b4e3", "9899eb0ae24aa8c992244afe5f4455e9f96c1f18", "cd4cce724c8a33f72b068a267cd6152c31851013", "304fa45de90874e89b7a5511c88551994ea8c89d", "64753fe167a46208e28237fa98db8daedbef83e4", "bf42000d04efceab3f0f799a9b3f2058f91cf3a4", "3af0400c011700f3958062edfdfed001e592391c", "8fa290b5d92c1f427edb62d29988056383e02047", "45db5e4f5da9d2020b44fe2c0f0040d1142fbd3d", "167f0115862b79a7558fbdbb899458ac29ab63f8", "107dbd2ffa3bb26786ebb7bb57a308c7d1f4dbc4", "ca283c6fdf43b7ad59949207834a6a573381a9c9", "9e594ae4f549e0d838f497de31a5b597a6826d55", "f3e4d5b5d761387313a002a06aa66de625362987", "231e545fdb1a516e29604fbd740e207b6f25c7dc", "555b332252522fce0f31b0c0b7630cf4f36ba0a5", "6316f0adb6e2ebe503b7fb623ab28d7b47fef5de", "0136bf1d3747770a7fb4fcdeaf0b4b195815ed67", "4c16fe03bb96328b715acfe40491a90034858800", "f0fc82cabfbb7d7a8505ef1f78becaf179b9d72c", "87e05a26fb4c45dbe2b0b10c8ab20e7662d46912", "a10a3efbd1e2b6f997bc0a64ca0539e80f81ec7c", "710ce8cf25f31df8547b888519b414187e989257", "07eeb8f39f7d397a2ab236ce830c3b5c19adf9d7", "132781c1b2495ff0e792b46b94fdf33867394e4a", "5cd58501fd184a0fe5c05026ba1965ad12e68205", "a2e7f4e97013239c8d25c9f4eba71ce313ebb1bd", "7bc8d81a38899b60704681125ec4fc584a3e7ba4", "61e97d8440627bdc9772b3b2083c65f44a51107d", "c72ac3dec0d0b2d5ca4945b07bd6b72c365bdc13", "9941a52ef4db2eb338eec061a950af6a95f82510", "1750399579e616cc3274b82f0c3c10562573e2f7", "24486f70e0fa7a44844adefe352b18aaeb04fdb0", "161eb9ecc119952c137959e87a796da0f3c62cd1", "bd5c222323d6b46ea71f329cafe11d38533f6f3a", "9c571732af31360b79cee46b1809d98a42423dc1", "76c018c6dfc81f61c3912c5ed442d9a72f64e467", "00cb08dcef72bfaa1aab0664d34168615ac6a5cc", "0b8ef6f5ec5dfc3eded5241fd3d636a596b94d26", "9a7b7d61481e3a5bca1ef809358d46ac87405f67", "19a3374ac2f917b408b4bcdca33fc9e9fd7ff260", "30f49d6595359a4a18c728ec83f99346d1e16348", "50984f8345a3120d0e6c0a75adc2ac1a13e37961", "908fa5bd0cdeda8b321b8b86a17ae44c1b0983eb", "38d9edb98ca01b0b8deee33b4705d8c9a927375b", "2a8d0125c8d27699ccd75c76bda774e065060709", "324c91551c3cde44bbcb9d97bc14db7ca6d31850", "9b2607d4a8f7252bf13628afa1b5e5cb55ca65a6", "0b8abd8f45d161d2e9a2b2bbdedd4e103f2d0efd", "303be881f6cd4907c5e357bc1bb5547d8ea1da5a", "15db3bb041ee06a369f0cd478369c75618a35387", "9af4d310415afb925e157e7120b7aa596298888c", "9016d7e5461aa3328efcfb74a7624487c4db2ffa", "8c30b154811453b6a1017bb27e3becefde44f689", "06f2df0ec9ab6968411e34f581dd8f5d40500d7f", "f2da70f632db70eb42cf5bc5e2428f4bc53909ad", "c61a5961a344748272fe51ddf4584b22d9c10cde", "8b98aa8be775eb4618779a682ba994b36adba24e", "80c80df96ba7e4df75802bb8710318746cc5d9d0", "080ffa4c89bf85f9610f413350199b52898a554d", "14151dcee2b86469eef5d28036ff068eeb428064", "e0d04853f1d1323130d165a69f7cc939986598d2", "cdbb1f8c13000441c5dacd7dc26774315818a09e", "9be3bd737c1ecae5fd895583dfc0613926abeb6f", "cfbffa4d143a72476d962906e413c5ed6306b09c", "ed732b3a1f8fe733686a35688b090f426d018f9b", "a951f9b3aa95fe53cd9b19e15ebfdbde3fd5af62", "7e2a443cb069f1e3b0d7c41fecf55774ac584895", "d4e99d6f9e91fcd58c9fd00932d1197a9e03d08d", "f780c064fc7a3ded0412a6eac184ada57338f650", "3c917f071bfc1244c75fca3ceed0a8c46bb975cc", "06a33dfb6365762c2f83f3ab975d982a27b8dbaa", "69d9b79757d76b73ed940754f4d05288b76eb8c3", "5ccccb8df66e5b2b88211ffc7335d356260b801b", "c34911e9fefd987470edf8f620d9ce8f0030339d", "21bdcd9be2e9e75ec1d060d8d748a372d9ced230", "04a1f6d15815957562932f030ce7590521a27763", "8f48b2da711417d1f1f39069501577c84abb8d37", "93e16f85ce6468f25d53b4bf03e7251012c464ff", "e8d2d991dcfb12b287ab06d282a86802e565780c", "4af997701ce14ba689f7f964a72bcae0a2432435", "d4e4369babdba158bfdce1b605f92d6b1b665be4", "e37f0b9dadc0bc6dc56ab0fb2c348dcca436bcc0", "301662c2a6ed86e48f21c1d24bfc67b403201b0c", "c563a1a197e8e9b5119063a8fd57fa5a7ca0da03", "2fcd3007f197fa2c799978162d49598c4180ae69", "c64ab3ab8b8276ad6ea9dd117ca42a2fa0efc8db", "db20827ca6343eb46dfe9a207248c4d50f1d72fe", "3e50ee66e4bae05600f38170847b1d945e2f99d1", "7105585fd49ba914e980c45cd72dd2cfcabea7c9", "5836c6e12eeec6bb14c71189f30a24422847a694", "344682f69dd9bec68d89a79b0b7f28a3891ab857", "bb1a6080072bd54eaa5afa1d29cc02525946d7bb", "cc78b2d4d0f756941356074bb17e8e94f7108eae", "bd0d93e67c0b439caf372b704a377670f0c89be8", "f650aa86c7ebd31fa079f4db62a53b12f1b5d61f", "68becbe61cf30ef93b2679866d3a511e919ffb2f", "e9877c4fe5df59bd4e705216ebc7d5ceb16eff60", "d31e827d7570de3088f7ce582a4be2dbd38dc1b0", "f412d9d7bc7534e7daafa43f8f5eab811e7e4148", "9c62f4b09ca590f74c75115184fc1a9833625edc", "f2a90a4b597e440182f722e5e1e154d9986b1e90", "872d1392408358b88490047651052c87ca754040", "b55489547790f7fb2c8b4689530b5660fbc8ee64", "9078307c58d74ed6aab70363a5addc054db7fd1d", "acfacced2dce0fb4d39907b3c3cc22b4eb63e7dd", "b0b628bda8a6c4267eeaf91420b8610400ff398f", "d37013e4ce0f5dd6b61a4ffadecc401274966602", "06ab50dccff619c58bb699ee182824b5dca65000", "7fe4ff1e2861830c16a44526cceba39e3677b22e", "8f5566fa00f8c79f4720e14084489e784688ab0b", "aa01add66c95fba6f71d1399d0d8667356d3de34", "c1bbcdf3b5901e3378a89808b07e53a502c295f0", "980fd3fb067215017af8d13381e1d95fe3a34727", "122af84cdd28be10b0a8d7a82b9946738e086024", "4a9086cf2637b7ea54855187b978af7a89bfceff", "ab567ca60fc3f72f27746b4d9e505042ab282ca3", "e00526ff149bd61f6811ba2f2145ed22d9306319", "94bf6b804dfcedb0bf6b0d5c711bb7fe305f3704", "22f7b7e6d4997a489bad794d44c6e02af7a1c506", "e4d2cc8fe567e8e1f2e0c5eb751ff9e9361346c0", "083ac08287af7df220d88dca2fbf5b1812e35ee8", "2e55fd3f5138e55250aed84a7dc17adfc34970d3", "72007faf3bc77e1d98d3552f36c0b6b74aa9e379", "71912976a7a4a5321b7e7ea20163fe3928cc5b71", "df518051c5d10da2c772cef2654d6612eae0198a", "b1ec55cbf2e9a6785e1f1f2fc060e4171ec88b4b", "4168fd6fd9e672223fefc9706596121d653e39ff", "945cd58065f923e3cdc46a28c2b3f0c22ebfca9e", "f2490341a21e54a800e5ac7a1c0a25b60f0e0c36", "1be9ee50f4d4f59b9761a366bba9127213dc4f33", "6872615b0298aa01affa3b8d71e4d5547244278f", "5eee9c417157916ee66689718af65965c423b2b7", "e75255911aa88fda7c0ce8b42b0ca2d2a43bf33e", "6b3ef0e49fac54dc76a8706b8be1f724ca6ae32e", "672f32b140360cf6051c1ea22851d1f9e2f9a153", "0a814669f4a0198e46a3a0d91a1bbb81bb089216", "07311ac342cbc736030bf698fe376ee64a11a3eb", "2e53a5dbadfd30b834feea80c365ffff3925eb76", "969ed0575736943c2db62793583f99365d10fbac", "272c6b6ccf144954a154b83bf5789341ee3f9ed2", "3bd8f6577bd4dab492f9a0836bee1d99e461f028", "040a3fce405aa203585f8037caf5631cd63d8cd9", "bf5064c9143fe2ec32abeff7351db82201372b7b", "0f5e10cfca126682e1bad1a07848919489df6a65", "18fc6bac478f069dbf35f1ebdf6f5d7d711872a0", "badef8089c6b1b4cd479ea406c6b7358b68d2c26", "0f42c64a74bc6e3e83821aa8ab5dd8e3a4b797cd", "a94c3091be2090df6144bd121e41e7dfa96ec0e9", "630d88e479046ef18e1b801bc37e2e1b3df85cc8", "8a7726e58c2e24b0a738b48ae35185aaaacb8fe9", "3412d9f3c620155bf3eb203f5817a310000f0c63", "8145ff6adab3397a5ac52cc62a7c53dae59763db", "033998b0ac8dd5b86693bd0d27cd3daa00459c17", "1d187e1d0e9eb874f85e3ecdb75ca0a7bd98d8bc", "f7a91f74b0f8ac03459770bf4ba20af58a72a559", "43de246e9cc197623e27ab41a69530a8d121c77e", "6d84d92d9ed6c226f0cc6401bc425a23432c9f96", "a4b80c31fb4ab8d5c648e809bef01823f13a8b08", "122cc9d15937d3d24a51a69e45440544d8aaaac4", "1947791685597368400ca0429695658d1f68541c", "8d97e0102b5d89c62e5c6697eeaaefc82b36c809", "40f6c9355dbf01a240b4c26b0fd00b5cfbd5f67d", "e06f6d6b473c8966309571931143ccf646ced981", "50894e607cd5eb616913b520c4e238a73f432b86", "f558a3812106764fb1af854a02da080cc42c197f", "e2ff4d1bbd6333763292d9f605855b14c27b550b", "fb748a6953e72ad6d508109f8d809c25570ff07b", "a9b249b42a64cedf166a49858cc94fe930f8a1b2", "fd212b37ebf5a287478261f31b214e69ccd37cc4", "f9028b47a4755a7349108b1dc281f13add5c6c12", "d83403dba5dd0f822f1acaced47b4ddc93e386b3", "2ed18139791ad8287b085c1539895d587800a373", "196258fd1c722574680a72ae8fb4cb5132ff7a37", "8d96fbc52ffd784dee573d44e0c47a3577fd0266", "743c7e1aef6461d6582cf8deeb5d518e45215f89", "06e15d0d6f92a11bb5b46b5a3e0250cccc452c92", "0e610db9b0626db3ab64cd7a8d2c4e49bfc48ed2", "50bf19a06915778a0bcbdef700f91b56258a4e1f", "60bd1d33d74619f08baf0d7477b3f8cb8fc711e5", "6d7ba173121edd5defadfde04f7c1e7bc72859c2", "25560ab44f2ac093c2ef22daae33b0dc9b828901", "381d15951b5beb2456ac016ac7f15fd27aa07d1c", "139ee1b1d98e7ac9d659a5d1bbe8c75588539b29", "b5872d6952a0a073491e845c2071c5b06d92ba29", "ca400e0c7a739ce5555b2e3eccccbcea65e71b11", "a45ec771ca2db81088c52c173eed9ec2022a8a70", "3e42e336d67dad79ab6355c02f1f045f8a71a18f", "7e37ac2a1e70ba2acdb9a563267431cf4cbd5eb8", "0a60e76e6983e1647469172a50907023913b0c9f", "1c8b08599961bc19083f4a501b7ab60a03ab972b", "b1e27fade89e973f4087ed9a243981b0e713b22c", "79f12f28b060221f3b80ea1b7b16779ef9362ca8", "88dc2b2f6d033b290ed56b844c98c3ee6efde80b", "8e7749f635b161558efa3e98a324e88c73e2b18f", "1875b2325b3efcb49dec51c6416f40862db4fe74", "ea251fc90da36fdbaf7be76f449a9e0dac1d42ef", "4fde52cd3af5c698f0807bc3b821ebb3a270a986", "9a3ea7c922f5df1af6b14df0f71f546243f2bffb", "21f5652d4f88ac039c58aa530328e65a39eb7b38", "cb3d38cd18c99aca9c2a228aeb4998f394c7b1b3", "c6d78245ab09c5690e483962dd51e0408fbf5cc7", "1df1aa9179506554744bf16b238d05ebd1e2d4d5", "fdd94d77377df6e55d14e41a28141dc241d8b5d6", "55c6cd3b3a0c0335de050468f55a5cc4bdc30681", "1a515f0b852c2e93272677dbf6ecb05c7be0ea2e", "85401b669a989da15bb3d2b37d4598c21d9d061b", "cbadf6b89571d387eb5f1d56ae5671ad16ed1155", "2eae02d59a3f455f3714ce674d85d3f073c9d7a2", "dbbaa5d4a5d04267e5be454624f8d3be8265fe7c", "bc3a7dcc237041aa4b0d70e07c9bc441dbbc9c97", "bc8e1c2284008319ee325ff7ea19916726235f55", "92373095869f1b9e93823f0bd16bb8527c1665dc", "9090d175a155c6d50dc534b404cea7927e94a198", "019a95631c49011330773e953194a0c73c61f3f0", "bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f", "37fdb70003ab93267ee6c75a333cb62d9e4d0798", "bf3f8726f2121f58b99b9e7287f7fbbb7ab6b5f5", "aa8cec9cec1f15f95bbe0ef4d7809e199de0f30b", "431e80aeee80a74f41d8af1336016340cd8e4848", "89f73328e509e3ab2df01481cf55cb53050f6343", "527dd9647c474490ac33ac5b0a19aa76b226610d", "77fe6c859a59ac4438794d38d018d1e3c02d36dd", "f06f3e1cef2d04af915a932e83b22e46a45f3b73", "2eb96e784d2b34ba56654ebd0f357f0b121f73cb", "1450b9f2e69e2a4d0400bffaa535712b5fbab562", "c495fdc195f30ca853fbdea45bf4e8b59e1632bf", "984d5ed1fa80124117fdd0aa9a5be69f269da268", "182496e9533ad3a5eef6a06b815a276c18eaea2e", "fbc5de479d74d4adc95e111ffec6a417a90bcb4f", "76bfa74a6311db5d84bad2a7a941f30dd750d01c", "60c06e5884a672e0ba3bf1d3488307489583b7e5", "23ca7c4367f7317c61ebb0574e3d04cfd9bc3893", "88132a786442ab8a5038d81164384c1c1f7231c8", "7a04b5db3f589ac857b51effa1be3eae7fa8dd4e", "c3fd3b9e0de036241d6e0f94fdc5364551e10b6b", "c52d7271abc7578ac47b6550dfda2540486f8320", "10cefc1ec65f42a25670067683c30d92873e7023", "32ffc4f2665f0061b556f60c4db0f3f5999ef004", "0449b56b6b19a3c42766962782bfb88576b5bd62", "baa1e6894024223a928aa00be698247ae253e7cb", "25d58e8c9a0c46d44dede888c4548479e8fee994", "a1e1e7e976c22af9de26d9b74c2ece282e20218c", "7d513b7c22d8e771ce657489bb8e515dab897650", "de46cbf18c7da9efc9368241463919e22230b0b0", "c1bf99570889a43ba2b16e6141b365d74608973d", "8aff946f5d678f689cc9476e48d8b122671205ae", "58c84f968b7b7d61f6073e1a8421ffad1597a46f", "ea5eaaadb8bc928fb7543d6fa24f9f4a229ff979", "30256c10cb7ec139b4245855850998c39b297975", "4bfe7037b2d92215aeb5e116988ade7e6733a6b9", "ac752e998ea646411438fd517c36e1e8c6507d15", "12c5cd899d5ed85741197baed191f3b8b7fac495", "45dee419077eb71abb6687195d97b0a7867c867b", "6e3d95b039a013666cb0544926e6cd2d4d2b8798", "d7ebd31d4616c297292a36785727f1bc5b470290", "178f9df87c6a5ebfd850695b0df026c8fbf2d287", "4780cece6d4adeb0b070fbefbd587b89f4acf3f7", "0e4dd115461e3dd608bcf809f4a8689b994fef29", "c0ead9bada2fb7cdebf7dadbc8548d08387966ae", "e59587d5a5e8dd6d66912bd06a12a2665fe8fd07", "0ab06a5d8c13470d2808ce5b12839c0659ce1d3a", "2744d19a3026a516431ad92f1b60a9237aa2ef6d", "7a00365f9c7bced9ce47246794932f60564cb662", "34ce6a2b0f4404ef4f2a7d3eb68718454840fb10", "d487d2f13590747f2a405e53bd137bd0f50ae4c7", "328bc4d5495723f9a1037660b5d9c1176713bf24", "b0e95789aadf2631576e4aeba44e96ad9d26d1ff", "9f61362052e7675b3053a9d1b682ad917ce0e3d1", "a2f69a94380ccfd463886d26f07c4dba791f84d4", "2a87f95e36938ca823b33c72a633d8d902d5cb86", "7180cb0c2773be3c15cc2737fed0fe19b08e1538", "d8f74df3b39204fe06c648796a933506d9980f5c", "f26b3a916aaa50fe6ef554fff744559815ccf954", "84a69f6357b137028e3aa51376ce2dffad5e0179", "619d215c2e80eedcc5a65c00fdcf5852f9cdedf8", "3caf02979d7cd83d2f3894574c86babf3e201bf3", "29a606ba5b9ae9bc16d05a832d4e54d769c63dae", "2fa04fc0bcbc92886902a62dbf538c490084efa4", "25e62096a44e3fe2f641b492379e7c4babce7ee6", "85489639f395608174f686d634d6e27ef44c9d77", "ff825a46f0a4e9f6ad748aeefd18f34f6b4addfb", "2666050601ce1a7281a9154fb781ebcb40695863", "ae60fccb686272d12e909c9de99efb652e0934ec", "91d94e1b92208b3cb5b0f4a1e48b79fb5851c381", "3064424c1abe01dd2f4d2c9022f5ee1312e3cec9", "852bdbcd091f48e07e9b989cb326e631e2932d7f", "db06ec1ac87394fbd66c16040c10ffeee4877799", "580130144d9a123c499d6e23fe0b934dffb00c73", "70428cd53b628b120128ad4e8f9201231e2713c6", "d20e7d7ab8e767dc1c170ca2141d8ba64a4d092b", "c391029d67e5a0c352f9f328b838cb19528336fe", "480810001ed845ec04a20b00461a8a82fcffbb52", "5727ac51ad6fb67d81cc3ef2c04440c179bd53ab", "2e02597b9a8239700703920d5b74f765576d6f43", "7e51a42049193726e9ac547b76e929d803e441f3", "0a3a33b872c84dac88bcd6f5bd460ef03584e0f7", "3f688723fb984bce9b60329f8f1ec3346be7f7e3", "c28745625f048d86f2ad0f38a41ddc0683d36a96", "feba048e15c1931086f909d4be04ade134942947", "e5402d593fc55c337594a4e0d31c259e891e7596", "49b3f6d8712c01f315686b6b8541eda8c5ee428a", "c6dab0aba7045f078313a4186cd507ff8eb8ce32", "656268296532913eb34929e82ee19808429de06a", "23fc6c6e1cd52a77215a285a462840cbb96aec39", "3b6310052026fc641d3fa639647342c45d8f5bd5", "c1dc0e5226eb8d92d141fd8bddc1ccdc797698da", "97bcf007516cb70d8cb17b7de6452aa06c4b9c76", "715b79490e57a2e057d4868e9c4fb0e1e14582fb", "a0fde5b5f8aa197380da30210c10c8c3ff2a25df", "3825b2ccbf2b305fa051bd7b62306108d61a753e", "54f892f62580c11a5742f60ff87f8231406e6502", "df28cd627afe6d20eb198b8406ff25ece340653d", "4f922f6602f39baae94f63954005776e1da05671", "421a7b0b6cf45ccba3df41a99fbb272d324489d9", "2ea8029283e6bbb03c023070d042cb19647f06af", "4e6b3c687ad5a78e97c1fe3c1a221bcb32e36bb4", "64b14354afc0e33b1786c0c5ab1af46e76b4631c", "dcc8c248ab26da04760b50dec4623ee6ea099ef1", "8b9c53e7d65ba7a7be3d588d00481f2ff49b5ef4", "3b6602e64e62e5703151d17475d4728bd2095256", "203956dec006b8c313bfd166be58d1e70b3dffd9", "399ab5652908d99a5be1a664425f6463f67df2aa", "621e2686f2113c2181653b2fe524a09eb91d5baa", "3315329b633116fb5e1e8400b6932bab41df58c6", "0856622ce2fcc4e39fd396427abae90cddf78fd0", "d1c103c63d930d3ae7397618f486117a48e35f16", "6eb5db8e6a79ad59bf4f4a5fccdd5b10237408d7", "20b8b3bad07b31e8ee83b2d865266ec58667992e", "ec40a234a74b62a9725b0747caf08d679e757429", "0af68a284808a8da294e0ec18b9879e3f7a5b21b", "e7f4951c1106bff0460665ef67d11fb9c2d07c41", "6c0b662be91c0e09c0caf039cb7c80bdb01d7198", "27eb092a9adbfcb3aea1b13bde580f1fd5c7b8f0", "ce282197f226fc757af4d27cbdc3416ca62ac5bb", "7d057676c9ba7b313adf0b191f64eb26ac2f9dd6", "863f2a473e9e60dbfffe9f7eb576b9bbe3d3a6b4", "93a66d470c1840d11eaa96ead3b600450b3cc9f8", "1ed8c43191d240a71dd2758e47e31be13660addf", "786f2e480cb81c9df8d213ac156a5333946a2b8f", "693e6afdd6a104181da54471122169c68d7ddd7a", "b13b6e3dfdf6d708a923c547113d99047f1a0374", "b47dae9d6499c6a777847a26297a647f0de49214", "36d487129fd0b828255e417e0d10cf13d7f525cf", "f38ad869023c43b59431a3bb55f2fe8fb6ff0f05", "be7bb84581b09f47668966d0cb70df0876c84a21", "bc4537bc5834b41a631d9a807500d199b438fb27", "e8e8f40ceff8b71d5dafa6b680d40690dfae940c", "67bf0b6bc7d09b0fe7a97469f786e26f359910ef", "a0d1e2934e6fbf42175fe6f04c281a976dc33975", "05fcbe4009543ec8943bdc418ee81e9594b899a4", "9e71ebc94e558cd7bd343959bbe59ff9b817171e", "e80635b9b48df5ad263c51ecec62d7d4bd7327fd", "f32a06e6a9b00c3db88e6f4bac235b7d660f5d8c", "4f8bd3519a6e8a05db9e35b027c0c65c91d2ff62", "8f0b6845689a0b6adda2feb52b9345f9d9a2a8b3", "887cd2271ca5a58501786d49afa53139f48c66f3", "df3d2f514d41c0c37293d88d4a594e5cfc6c3bea", "8990d4dae35481774239f3eea4662887b43c779c", "2c7aeb73447bf6d32630aaeb7a18256b62ae1674", "5fc371760fd4c8abe94b91ae2ca03d428ac05faa", "c3dc704790e1a170919087baab0ad10d7df6c24e", "f0865d11131a84ef1d91e1c8b5718692f153267d", "33430277086192476fa6c32eae88688b0cb21228", "c0efa1a3cea5b1f450283b81eee9942defaad4d2", "045fbe21ea8e501d443fa2d297c1292264712c62", "607bfdbf583c4dfa29491eedc3934f2293e1fa96", "3dd5a70191613e0867d32f368fad6ec25c63cfb4", "de0157390682eebc838e271f4fe8f704251ddef1", "ef29e5515b9ae3af358e511a7faa8cdc69bd073b", "ac56b4d6f9775211dfc966e9151862fd508d3142", "bb534e04c39f807cdc38ca9acc29e26fe7f374df", "42b4e00e55d3b61da5a9054ba038f13600e70f9a", "34fdfd174a8cc7d11bb28494ecbf4a85c88558f9", "aeabf3d23d09967d182d1a95837b79d46689592e", "b327fe29e568e7bc224f2f05da1662abbac6a8e2", "8e7a6e9da1d57809fc2c12f11d3a26b07f5ca9b4", "5adfb8a5b37bd2784ac3e16f556841c2befb3931", "b903e77d8f4377b96b02e6e5fae5745e87f1c522", "1ac20a7a76f7b83ccd8ea0aab64e2b24ecd23915", "e7f00f6e5994c5177ec114ee353cc7064d40a78f", "0f90a76b8cfcaea8ed0d24ab958295848f7c98fc", "0a55e4191c90ec1edb8d872237a2dacd5f6eda90", "253f98d7e8005fb221a1fdfacf576401591a5db5", "4a4a3effdfffb51a0f82d3b0904c017086996ac6", "899333d57c2b2457f7240964311ada8df20c9ad9", "08cc9a589cbeb5333751ef030a3f04e9be531900", "ae87896c38f1871457d811a0588487db0155a833", "c6e99ff40ccae0d7ce8e32666ed7f75e3a381d9b", "e096db52fc8316e66273b456c58b073f9b689074", "d6ceebb0cde7fb0fbe916472d7b613a2d7d2e1e6", "d409d8978034de5e5e8f9ee341d4a00441e3d05f", "053a4e5a89716f3f9e71bd09718bd9021a5114e0", "77646ba359a87a5df2605ccd2a580f2dadd017b5", "fa7689cedcf2f0ddb6fa4a3c0dbefc6fa63e1a14", "7b9ebcc8b9c05ef661182fe73438b7725584817d", "77dc158a979731d2ed01145b1d3ead34a6c33487", "7db5404feaa08e3e53bbf4fea7d89bcf509cfdbd", "b778c0e5ec6cebbabc77fc56f9b7438f2974a4ea", "34f2bf9e98fc234d2c29f751f59407deef4f4404", "c6657c1263bac59b006d1da1174ec4bcea0dff3d", "56c701467da819088c3f734f3ba36a793d645992", "99b41df501f25f4aee9c1f94a75510b2fbcc6bed", "14f67bc2c25ffb81c37d39da9f1f932c4a16efba", "c372356800ae51aebf8054a0d16ccad77bd06e41", "57ce2a7078dbd8e98266270e1c3c78e71c7c9bd3", "05b9a81aadd8827437dd857bdcca0a39b13bb1b3", "3f600008dd9745e8357f5b7b3c1a69b8be6b7767", "58a11053cb0d1322900273a450e4adf371252cd5", "addbddc42462975a02f4933d36f430b874b3d52b", "a361e820a85fa91f23091068f8177c58489304b1", "8b4d8c26e4f76ae55474df2a3753bbbd0d75b8be", "5a6c021f80d82f3fae283865b259e398f9ed0f32", "03d10c88aebd7aabe603d455c7bafa9231c7cf51", "4db64fbc3dd2486a74dba3350d44c51e561f515f", "f2bc0ab0cdf34a1df441ed9678489cb810474c84", "b239b39c08a08d9c3b1da68a7bce162b580a746e", "fab35a4ecc333dd9cea0ea839f18454e749d3509", "07eb30d6bcb96d7d66192f0cf43038eabd6fdd13", "c737e65d7e8696f5a2878ac623c61aeff434f92d", "403e7fed4fa1785af8309b1c4c736d98fa75be5b", "7a2cee9a210e7b418fa6169f8cf027f7993a3ee5", "d0462aa7754ffdf39962e2003344937258a0e42e", "6b5850c5a288fd26480ebcbbfc43172597e0d442", "281114ccee453fffa82a8b1bbff47b38e930f9a7", "6e1b85aabb132ed741381fdf00909475d16cd3ba", "57179347f63dbabc298c40dbc0fad92b4ac12b83", "c2d065bc8067384c40b3e8146cadc9a0c4c1d633", "5cc9fdd3a588f6e62e46d7884c1dbeef92a782f2", "257e008c01a32b9b642553f3f1e59e61efcac4a6", "e534582cfc1b98001fa1ad17cc1df47aeab1257f", "a1f9ef1236ddb57efc1ebbd87a1a69db9bc38c4b", "38b0a67727dea3fe563e8662517bd0fda2fd5e06", "794f76c111ba1a4ca718e84ae74ee8d2a67c4173", "4be117c52b1caa9d7555130652ee8a1492b1e7ed", "68b44eb4c7440046783146064ae9e715a72766dc", "3737961f634876f59d4ffd5bbd198bf38b2cfdda", "b8471908880c916ebc70ac900e9446705ed258f4", "02b25bec70f500269e547014635b42f556d8e173", "718bb5362dc0b3bbc89216f73ee46ece36c3e775", "eb33adf3f8eb5c07b58a1433734ab1fee5d77c93", "b63957152a0f37ddc99904a5bddb60b3f056b8cf", "07cb6efa6734b5cc22a38b0855189d12791a0551", "5741255d30f4848273c921ad177b32ff1cfe0671", "f5050ffebf973d4d848049dcf661891acd950b82", "1067ef2c4d8c73bb710add5c7bfe35dd74bcb98a", "431f013143de3159c0c0033fee2fb4840d213b6f", "531a40720f2809c560840e6d3afb11a31ad0b9a0", "c8ebe4c7d884c468d572a1ccf8583ac912215088", "c1087c588960dd7c00a2b5feed57fbdb70d066f1", "1629148029595a5c728edb89aee90dc4797e9881", "d46a5bba21f897f1c4b3366dcb663820ef1c282d", "fbff92bd8ad39aeda14b7547ecd26ee602e065dd", "812a6ced985317b3b9429ef0455645a9744af6d1", "c3c73bb626efec988aadbac519c61810710282fe", "e79a34f9942172ad97c5fadca3701db3e29d32e2", "f8beb25e944004d283e1b347e3473089da244335", "0a7ae4e41ea12426f0692fab66fad3dadfca8148", "db63c15fb5f086667091752e6515647b733b9451", "1d1fe1bb2cecd94b1f905cf1d0675d214f6ebc50", "8954d46e1d7a11b20b2c688e5fb8bce4901650d6", "804d856f09602f2b8e9184db155bf1b9ab7f31e7", "d930d20ba42a5d868dd78dd73bac0f72110e0bc5", "19d414907377e60e8db604a8c32852119533c8f7", "78a2a964b61308f683fae6f3a62e3a8aece51bae", "bdf64dd341925ea7b9b3abbb49cab3cf978f8e21", "b5f5781cba3c3da807359a6f600aa19c666a3f81", "b8b46df1b013c30d791972ee109425a94e3adc06", "8e34de64c9cbd5d62b0ce53ab3d99092605d6c94", "70990e1b13cec2b3e4831a00c6ac901dae76b27a", "f820bca64665ac90fbed5881599a049198d71118", "6dc41784c56de1925e6a7be8ddfdc68f18a21e55", "a2ee76eef0ee147f96e40a6846d178128fec68a3", "30e18a16d4c7092694d55743ff92965e5dec2692", "c793a38c3d16b093c12ba8a9d12dfa88159ecd38", "6d5b0f6e5258d370f9af8a2cebf035fe61905db1", "ff948365684d3aa1a834deb49f326e264b56677a", "031c721ce468a136b9bac87da7274229e7b967b0", "f7514435495cd76552a4de01652a08ff8c2863c7", "4189862b2ce9c71e1b451deb58dd42f50c7d04a1", "5e74d92d841d1bc1c9c2d80219f98bf892f239c4", "635e3ce6fb0b28f38fb77f25770911bf08f0ff03", "a0453a7b2fe97280f1e33b22619991d3e5aeb989", "4bfd8b4f673c04ab9111e7d162e84e8926685c5a", "7538ad235caf4dbc64a8b94a6146e1212d4de1ff", "72944b4266523effe97708bff89e1d57d6aebf50", "02a2fa826a348cc3bc46a1a31a49dce8d06ca366", "e20abf7143f4a224824c3db7213049dee2573b4e", "b0d6e204c36f029300787f6334cb727325f8983a", "040173a26e1dd6c7ab2e636e2ec3dbe0b1349986", "27421586a04584d38dd961b37d0ca85408acfe59", "40f2b3af6b55efae7992996bd0c474a9c1574008", "eb66b3321d53ca68161c2caa2fe4f228c40c003f", "954af3d46d023d73c7ee97f2264451080f542084", "9b762be133142412ffc08da9ed5d13cfcdb803d1", "e6868f172df3736e052fec4c00b63780b3d739fe", "22fb836a593267d9ff09a4d12aa5b4a6fd52c81e", "a943f3987999ffe1c50d944e79568a53ab18a5fa", "5a383940c769660e53558d8f4bfcca7f5c730e75", "3b4619b1e138841800bae12ecf5263a0290782a5", "cb310356d1c5f567b2a8796b708f6e1e10fa1917", "722c33bfb4443f4f0a98ab709d40e379e7787c38", "fb03d1500deb642c53a6523d8011a9e8f8aa983b", "8711d150bce8691c61b2a29cf9efbc2747585569", "e2af85dc41269bc7c50fcf2fb35bfeb75e3d6ee4", "54760ceffc46a7a5425260834840fcfe910e0f3b", "0adace244eb8d075cdd3fa67d653edfff2fa200f", "09798b13739edabd55830fc5589d8ed263d62c82", "c2c058afe227f2099aae4f204688b22239d6837a", "d1295a93346411bb833305acc0e092c9e3b2eff1", "eedf9480de99e3373d2321f61ee5b71ea3ebf493", "204c73cd39d3befc4f669661b0451a7f858570ff", "c2adfc55e0ab9be6e8f5e4ebeb20770dca307cef", "3c895e65b811239604796c1e2d1bdca3494c50c5", "b18efa91e9893ae5fdfcaf880bae5c569fab4d18", "8387c58a5a3fd847f9b03760842dd49fec7cbb0e", "fc857cebd4150e3fe3aee212f128241b178f0d0a", "f89edc5a4d938bf6df0a780163b872b9edeef5d8", "19a30ad283f2ab2d84f1c666d17492da14056d75", "7a72ac1c77110d03dc0482f2556e9bdb36582fcb", "21679eb7e953bd132803703c27dcd56484d497e6", "73c13ba142588f45aaa92805fe75ca2691ac981b", "3fee5c6343c969f33a7db4c7f7da1e152effd911", "614f4f8fe47e7c0bcf64aa0ad39dc371e4b4ab7b", "44ce0051d9482d96169ff5564085fe9867eb3193", "44054c64ae7ee16a8a8348bb57345aae95a8ddae", "16892074764386b74b6040fe8d6946b67a246a0b", "43016e51bc6e7939521ec3c2fcff78f35bfc5e92", "e1e5d64318ec0a493995fb83ef4f433ddde82e77", "261fa69e3260296652e02d8757f9af16f7dd6ac9", "5ae332be64c8eecc92a61deb2c3c3587cdcc59ef", "95d8523b7782b9f162a73e60796d355e1d4de301", "94d5ebe936c101699e678f6f0cddd8a732986814", "1d0a6759de0d55d15439b0367f0aa49c1e248c5c", "00cb5ee9c7f016a8ece5dd3b34e74ee65ee19e2d", "1dea4f56c04d12abbc9e1ed7c48c7ccc09e7f5bb", "6135c12b13700eaa93016f65bb0021df00f26f5f", "929218b75858e244c1ca99a6bec07ed9465737c7", "10cdb31a23c3233527ad2f8beebe7803b7a51a8c", "27c15e9932bc039220f6937ae8e2cf9f1391f7f8", "79a36b19ea363c14af27a1f4112a9eccdd582837", "cb5f65bb52ef54b46368ba33db2ddf56cee5b8c5", "731840289e35c61c6e21ae18f2da2751bd8e2f20", "e577847c36251dc31282ad57ea969ea8297369be", "ecdd4731e197f4afda804602f533565c19ffc271", "3885cfd634c025c6e27c4db8211d72f54f864f90", "33236cd0b9454ab88ec9deddfb8ce8e492056770", "d8cbe136dd95d287786d0ed5f0d0e53f143bca7f", "f1a772608cae0d3189ad1293d5b7631435f02e44", "5e51f001c1349f3dffaba37f7e4bd08b370d813e", "992eca71ee8314ede9bf680b6966730f6bb77bc5", "9d6c5dc5b212d8a8e94e7c52b0a2e4550aa2e117", "10aeed13a7c0317eac9608bf0459e1e44eda3625", "7066ca7d19a714012dd899f3ac0a84e4c0dc92e7", "2525483e2d899c435437bd874208071183223b46", "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "fc685ef21c4b2db0304b830f6a20e31eb0ec0737", "b58417561ea400b60bd976104e43b1361e1314ba", "784705fdf2c412fcf764841b980cfb85ef3944c1", "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "4452c36dc4c5e9f11d041489c8ff2e7006d33c80", "6795a5a06790ee4fbe5b873b563b34b0be6ad6b3", "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "6106028c73d22570a01212814e1e4f4edb4abed6", "1db11bd3e2d0794cbb0fab25508b494e0f0a46ea", "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "14effecdf4e99a6ef3bb590582ca07e642d49632", "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "e23b3779547682b3e1f5a9108ed1afddc97af679", "d7df298c94b33bc500f97406313fad1d5ed7060f", "30c93fec078b98453a71f9f21fbc9512ab3e916f", "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "26d25c21a4da2429d5b923b86410ad73320d61ba", "90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52", "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "da9d71087025ca20fe0259b9aabf803e9d556160", "a518ca2df1b74e3080c93cea11e4b769c82d33eb", "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "6ff6f356244a647ff2a6d9dc27343d3e22840571", "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "498c8abcef3b709be97167ea5870e85d0c586945", "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "48705017d91a157949cfaaeb19b826014899a36b", "6947ecf688956184bd7371b3689fb9494139320c", "3e03435792619833d4e2aa14344761b003c10c67", "82fb85517ee1bb3746348221de3d5347c6b3ed0e", "290eda31bc13cbd5933acec8b6a25b3e3761c788", "4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7", "1f527b5406356018e6dc401a4be8098a5a451891", "b040302c9e6dfc1501a70bed4636fe83730a26db", "057517452369751bd63d83902ea91558d58161da", "5d58d4164493924906231a28153e50342fdf1198", "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "6aaa77e241fe55ae0c4ad281e27886ea778f9e23", "2323cb559c9e18673db836ffc283c27e4a002ed9", "7e53ab07d0ce28484830329036a1fc018b9644dd", "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "d67d9abc9c9f9e84ab3647d21db70ca98117f709", "687ec23addf5a1279e49cc46b78e3245af94ac7b", "273b973092a4491974d173cc5258c74aede692cc", "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "b4288f34528fbda2d2781454aadccae0d578d59a", "83d956ed39127058e02395924f96b68e2f8289e0", "869df5e8221129850e81e77d4dc36e6c0f854fe6", "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "626c71140a93afbb2234642f2634ebf635949263", "256c91400aa7e92160c889654614f70213947f06", "ba004e5789bdc565734727ce22820dca77d6407c", "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "ed432ecd59021a96d8995269a34678c4c2774507", "2b9410889dc6870cc6e0476dbc681049b28ccacb", "bf5214de5a1460e01eccffb74c60a57b43cf099e", "c11f05de35310725d83a4ac9a393f06168acc967", "e1678add566a002e1fe5536d8607888549e36ff8", "4e82908e6482d973c280deb79c254631a60f1631", "73596313fe0a93c2c0ea345ce854517140b9eb1d", "a09c071f8468897176ce4351de36e7c8b7c2dea6", "ceb9a051f1273c7159aca80891f21ca3357b68ab", "137239cd29634465f35ce261718efece57cfc617", "4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7", "ac611487ad19e0ff182890ed567c449bfaabd0f4", "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "24f367315bdb96ac001d568b8e2c0ff022845ca5", "1627a0c46c29e020268f9225c9042bd6cedd83b5", "bb7c093c41fcec269b6a7a950902cc95429bb289", "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "35af45f799c65d21bbb3cd24f666de861bad33b0", "1642358cd9410abe9ee512d34ba68296b308770e", "50137d663802224e683951c48970496b38b02141", "b02581323ad03125e9b18d74ba0c1909d6485dda", "4643a480f115d5ae96259f204b6712c1e769a699", "66c4f727e9d6caccc4d3154de174258ce63b9a35", "508ce149508610edd93a17561a460f2199c8609e", "8e0b92b7ccf6a2d110011b79637d257805d8c96e", "61a768171bcaf5d0b5359af551d9732015bc4036", "920246280e7e70900762ddfa7c41a79ec4517350", "7202235dd82965b4bf18216040e40433f96274cf", "d8bb184afa8e68c569592471d83fdcd9120fe5c6", "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "72dc0c1e033be838582ef8da6ae3d51b6375cebb", "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "0348ff27225e45578c39f000e86bd96aef060c97", "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7", "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "23515e0f5fbcba94dc78e719c127ea42d087c81d", "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "85136f57350f29ff299dd13b28885666ae305e57", "78d7fe93404686eeaefce0aa3d9200272c0f4413", "434627a03d4433b0df03058724524c3ac1c07478", "084352b63e98d3b3310521fb3bda8cb4a77a0254", "30492d91c8ac2e476a25bf7ddf445be00b3d2fe3", "961561a96e82d1fb596f030cc1d4aace1bd85a32", "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "b787113305ddef424def20920b8b098c7f18bd98", "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "5b36d1d7279d0db75f52f4934b123a3757bf8092", "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "98220d35ae6a3ba745f7dea1434f000ca60c62c0", "3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612", "9355b789dac162ad50c31cdf5d9a196cdc09828e", "0e181a1b4c63143466c9ac858d46491f1ad11092", "4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10", "a7e20614f707cd8fb02cec5ba60ffcf48ea66d92", "909f91c1957ce2bf9d76ee2109a865e87bf17057", "43fe6e4c3163435fd829d3c1c41ba17de4e13559", "58eba9930b63cc14715368acf40017293b8dc94f", "d9bda208addf00a55df23821f6d4abdb85e73599", "d1e8a08aafc64661206c495e963e0b244dfe59cd", "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "70be5432677c0fbe000ac0c28dda351a950e0536", "13a3952eea0445fc4a1825be10acbd3a189355e3", "a936a60766cbccb27217c3ccfedaa16d4c7b517b", "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "c04236e02381fb8e084069559e92900d4ec1af7a", "244377600b1474e1da3b86a08683e629990d1417", "679136c2844eeddca34e98e483aca1ff6ef5e902", "4624cbd2395e46159127e285ceaf45b9ab903e17", "356ec17af375b63a015d590562381a62f352f7d5", "f0cc615b14c97482faa9c47eb855303c71ff03a7", "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "a7d09489ce188979fb7767f43f27240ece05aa33", "3cb0c82dec438987269f08a4b09235c53bffe293", "04bb0a1ccca86a4c1084fc7472ea07189c110aa7", "8cc56d82787069ca91ac6bb8133e15da6dfe564c", "6624a89894990a9f5edb06feb9e4d5ce6147459f", "422d352a7d26fef692a3cd24466bfb5b4526efea", "fa62bb5355ee5447ec651f56b9e06645eb2f56f0", "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "9d89f1bc88fd65e90b31a2129719384796bed17a", "b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f", "71bc8a1c19137ab9bc0b5926afb77ee76aac9057", "a44b91f46ba66c8279b93caab6842444de0c9343", "0382a1301094c6ba60b18ffa8d12da6ca0863339", "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "d0c75482c5d2d0c1c860fe6f46bf72767bd02848", "b8a829b30381106b806066d40dd372045d49178d", "8bd8969d1de5a9e47c5a99c23a9faa8413cab72f", "de0c4459c46c5efbad02cd9a1f4687a12883c5d7", "218982f0878a3de667fac2bb18b9f50949aefc1c", "bbb44958216281607c282427f3001f7bc36e2385", "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "586c989e12d19a48eb7084a3e07e9149c9fa7092", "449a170266998d364b960df58506981920c732bc", "10c077bf2dd1bed928926feb37837862ab786808", "32d072ce790b62750fbe343d9dd8620939d84975", "45e459462a80af03e1bb51a178648c10c4250925", "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "a8ed00afc46064b18a6bcc7aa282e554891eacf2", "adcdebf739d1f911a3ab26ca6f496b7789bcf5ac", "25252e21edb700772ae7bee300c070024c4e87ae", "b1bccc71e48ec4a114cef69a492b2e5b3d1f123b", "5bae9822d703c585a61575dced83fa2f4dea1c6d", "7c132e0a2b7e13c78784287af38ad74378da31e5", "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "9458642e7645bfd865911140ee8413e2f5f9fcd6", "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b", "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "a48a8e337a155d01a9652f3ea36675710e600222", "dba7757ea7a390ec0509834a5f457c6f28ae6b76", "df3b560a5d6c8cc5fa1477d3a89245a0d3b60715", "9883759eb90c2aff373b48d31d3e5700b3bd256a", "64e0bd1210f180e0610b2a1faa188051a1de29bf", "1874db58583e6e5aeb98f2329d9e1ba44b8f6022", "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "d7f11ebb73bfe74a57c33f7e75f7981ad9385580", "01a152e7ca6accce4fa52e29b27feb76418583fb", "975c04f3193615ea7559cca019176e56ce60d052", "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "1883387726897d94b663cc4de4df88e5c31df285", "846652200134bd02c65c502a4e587a11592479a4", "9cd7487e0eed11dabc94dd867178204c53eb2270", "cc76729795069f24d66e8c29f1e08b50f8980a53", "06abf34ed52cefe1181451700346f870c2adb0b5", "828b73e8a4d539eeae82601b5f5a4392818c6430", "02af5e40653b5a545b62aa6aebfaca6557f4173d", "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "8c3d86ea14205e1bf046d1a770cee4edcb9f6b8f", "0f8b4a64eea40c1f0aa655d4e77e46543ff558b7", "4a44381f7c639451a797b2d3016b1d4cb54736dc", "608305c25aae19dd346153dadedac851f0b7f9ff", "1d14182d23547723a32fc3e51e5c59a0402d31e2", "fc5561d95b63f05a2f88e66291dbd269e4141a00", "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "4d38a43865e0bcc87dc6ad83331539429e00543c", "6986658717d6430be30acea59a1296125062d5a4", "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "6a9c460952a96a04e12caa7bae07ae2f7df1238e", "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "03ce07616628ac7c7dac92ea714313b674217811", "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "9070045c1a9564a5f25b42f3facc7edf4c302483", "ffabb5dc6f3a3831d1d88028594c06d22d39ebfc", "1110f86433302fd6c4cc92e2ac1ddf80b917b25c", "c31f7fa9d050c8a7181fc3407313f1fddd06de8c", "8e64f7f38db57ddc197cc7a9c51b914920ee99cc", "fa83597bf71dbeb606bca6593bcef8ecd51e8661", "3da12b99cd8040bb374eed160f8016b3fe492967", "59e9934720baf3c5df3a0e1e988202856e1f83ce", "6e604946a0a51911db0e887378ba1ae103dcfb9e", "e7617e3beaa1a1a8a3e24ec517735c5cf5c8a8a8", "076fd6fd85b93858155a1c775f1897f83d52b4c2", "7996a71a86693a721e45ff9482d286a310ada3ad", "1180b1da7221c8c614ac7f6960772b78342f233e", "6cfa1ecd9b534c08cb4556f5d45fc9843c6d9425", "8f3786e2064a103472ec227a03759bb5056aaffc", "50d1021392b6b226cb6a022b69b55396dfec99fa", "c1c119361952120507d010b96d53ee8bee13c4b7", "f3d0d2f66ab04d9b8d6a590b339cd692b22174df", "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae", "3434ba5677e5c98e82ee17a1f2d0ddef66d0b009", "2814d558b4d7425b5dae6b3dbbf5f4a08650fcb1", "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "1167136efcb52cf49e89b90949149312bab19cc3", "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "d8bc2e2537cecbe6e751d4791837251a249cd06d", "84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb", "19c5dded4a2d1b7e62e29c71a4a7bd0911e2f5ae", "08030f9d34cc96384f672d9f9f296914d594335b", "bd75a21797c8fbed8e9a8f293163e4d4c94149fc", "609cadcb4d7fe32d616f8e778b7fac9dd578bd81", "2feb7c57d51df998aafa6f3017662263a91625b4", "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "043831b3164152b4d67ce55db90eb3623d715cbf", "71d4924367ba5d31d87bf1ac724db3f285b345c1", "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "b8af24279c58a718091817236f878c805a7843e1", "d29895fca6ae688514850856208c2b88f01ea3e0", "e5bc872565ef74c3929a4bfb2f785570d546e983", "ad467baa4f59d18ed998757bcba3df3c2a753df8", "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "3c3477903b5138fe5e5e007556981387dd391f77", "6ee5205408fc6db03460c05765ae0f21a6eb9552", "94490145def938ca1f8bb265d10b66924937a367", "d7eae9f76dcfa978b99eef430feb9420eac702eb", "0a5718f6a60ca18e6b6de5660c49040ac0045d7a", "b45bb3876a7f980490e0b78ed70064d276b13761", "2329b177c71c7087013ab4bfdc3154a6ba87ff8c", "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "0749deedd6dce98b48475f335e2c322b16fcb202", "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "2a7935706d43c01789d43a81a1d391418f220a0a", "9b93626cc87411964712d05905c2dd0a1247d16d", "139302f87b4a23dad87b2f3a2187593f18bcd68c", "8cf679ef0ea28557acb86546e4b1b1a617d1c698", "4643da1a650d34aca300f3222d07fc9c1e622891", "e12d5019baca91c3662aef317d406ae884f9c742", "0824768412cf2c3e9f550025eee06bb34e5f3afd", "53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54", "e1a7446bc6f8267d4378977f8f39674f6932b628", "1120e88663a38ed05120af378f57ecf557660160", "5172baf893b1afe2650e015606b8537e16db88e5", "32b9be86de4f82c5a43da2a1a0a892515da8910d", "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "347573e0b27a01748f8a6781dd84bb312aea5c53", "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "07f47b063577afc98c6717d6bb046fe72aa75b12", "184c3e66a746376716d5e816d95e1a7cb8e04390", "78045e2b93745b16a174137074e430ccd5ff53ff", "074fea1fbfedeb80936c7cc1df7efee8f0b680b9", "3dffacda086689c1bcb01a8dad4557a4e92b8205", "eb67693ae74a3e5fba42b96b41953f85c7414a8e", "b28eb219db9370cf20063288225cc2f3e6e5f984", "f34bc8a28f71be31371b1af0ddc3d1227e33281f", "b6d0e461535116a675a0354e7da65b2c1d2958d4", "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "e1f815c50a6c0c6d790c60a1348393264f829e60", "30f7609d111bb3bc006e3dd38678291528aa14d3", "5d1365b1cb7d51336402d546e1b7640f345757fc", "b06b0086e84038abbe5088f3429603778f2b8fdf", "20100323ec5c32ae91add8e866d891a78f1a2bbe", "7a776f080b270c8759b2b4fe601682276d1b2eb4", "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "6749db5ae9547d5fe0fb4c743c631eb5bac69d37", "b17b20c3a3804482a1af3be897758d4f3be26677", "5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a", "32cd02519928aa91dca18074778a59b2cba19765", "4ab31fc841890b90d66c30ed2f694a0597f0a081", "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "c9c8ceadefa12adfb867cffcd2e5a37e4db81868", "6725b986c81964414c39050e0ced11843cc0cbaa", "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "37115eaa2789baf9edca92b48305e434a5ac5c02", "0726152a1c1a5723ac34d54abec0dc8d4659598e", "fa5aca45965e312362d2d75a69312a0678fdf5d7", "29113ed00421953e0ddc4fa6784eaba60f05e801", "5369b021f2abf5daa77fa5602569bb3b8bb18546", "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "14d5bd23667db4413a7f362565be21d462d3fc93", "12a6d0617af44b46b70cd5c4ce055400b134aa8f", "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "224547337e1ace6411a69c2e06ce538bc67923f7", "d178cde92ab3dc0dd2ebee5a76a33d556c39448b", "d7a5128ed38b01416c18ecf8a472de75d66ae35a", "13243c5192642919d7ad1ca01a5c737e0b020bfd", "4f99e35e40a2608a7b37d2028c05216974d677ad", "45ae4c0cdc2df02c278995623b2e25ae5cc4c91f", "c5b4e8cd56459e5fadd6caf33da8ae7cdbaca93f", "406d9f9ab1f1e9fc431a09f4567c4b3dd0aaa711", "d3c5d55c787b2cd8bd953f760ada8a77f8401d69", "aac23e7b7bf3628952e72e9e8fe43f7987383a36", "3d3a7225b441d669a0e6133546db4cef18884360", "1638636f183a53dd9390cf4cc12ba748b02b3b3e", "85fd4ab1ff63c248bf0e43bd23a58e471a0f7717", "011e4d450796a6c47c708b7e57bcaff79404ebb3", "1b1868679e392d87079407e5c161c9c6031f3543", "a30e9fd9444189dd84ea6c03b687888a631be2c9", "03f6c96b7afe5f80e92c077408e89455ddaa8308", "953251c1ca794264429ccfe743eaf344756ecddf", "c36d51b9efab754959baa25bc016dbf81d00ebe8", "ad62c6e17bc39b4dec20d32f6ac667ae42d2c118", "cd87eb67fcb32cc4e0fc0503d9dcb5766298602b", "6cd19453c540d0a2d806b0f80633f9cc669a14d0", "ebcd23bf99ead285b9f064bc47e713cd6e5dd599", "520ab4527776c92d7c0bc70543efce79b9e7c2bc", "49303434c9f8beb604408a983dab1c8b7ae1d2df", "840bc15b8ad4ca3eed78148aa0d32100b3f25120", "22ad2c8c0f4d6aa4328b38d894b814ec22579761", "3f4da6250fa9cec60c76a44123bf37345d9c59d9", "ce4ad1ad4134d9131af21d4213e598f03475cfd3", "4328933890f5a89ad0af69990926d8484f403e4b", "2bf8541199728262f78d4dced6fb91479b39b738", "bb28ba2dbfaef0ef86afb870e7c879da3371ccff", "e9368e9fbdd60813f2763490cd706c82c28a8a02", "49105e6eb5a88b9e1b41c5dc82c5c0170f8f32e3", "6dbe8e5121c534339d6e41f8683e85f87e6abf81", "e40cb4369c6402ae53c81ce52b73df3ef89f578b", "eb8a3948c4be0d23eb7326d27f2271be893b3409", "7004e0808b0905761b583d74524b932ba66c20dd", "e217382ceed42605eb2a9b570c55f9622635e111", "2e5d173ee0d1d7f88c335ade6a7b879b2d987ab4", "198ca82e51c55c079598db2b33dc424c5806bc46", "0f8b4455398ebea2e860e33fcd98ddadd61b1887", "1a6bab35f09749d85975b4a02dc444704bdd1b58", "09348656bbbe88881d1257650a170af5e22f1008", "ce13aaf9ab0d3ec3dd9637b2dd5122b4aa711fd7", "d14badb33740b42833ccd620b344fd75c35df2b7", "efd64b7641bea8ca536f4e179be6e2dd25d519d6", "42efcb8cac3889ac25368770058e000249f68d13", "f7d658da66748ade53850e6b5002041a0dec1c63", "117f164f416ea68e8b88a3005e55a39dbdf32ce4", "3c8da376576938160cbed956ece838682fa50e9f", "1299d9b498e30c67833b4d82a209204dcf696ef4", "53bfe2ab770e74d064303f3bd2867e5bf7b86379", "2903630d9582172f38108dc171fd239e337654a7", "6555ef4e6f9582b5cb06199a70d4f54df04314ff", "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "a13d47bb8e5ebe741a57a6f963941aa638d88872", "7ecde1ae3fdb767dac5e406da4527b050d6b408f", "0ef399b8bad6b3d4a908e2a9318f2ba51699b4f1", "0c59071ddd33849bd431165bc2d21bbe165a81e0", "eb716dd3dbd0f04e6d89f1703b9975cad62ffb09", "5b2bc289b607ca1a0634555158464f28fe68a6d3", "8916cbd3eb66475182a177ade018ed8a3eed26b7", "8598aadd321752e7e767fc3c608706f9104fd0e0", "a4956f51ded4d02b2f9f15c582583469e58b619e", "090e4713bcccff52dcd0c01169591affd2af7e76", "c9adf1ff0bad0e0397ae98d4e0857192bfc3d59e", "b7bbfb829b69efac8efc2c4cc67b08c565d10e5e", "8d22e3641d8e684ecfad6eee5e2ca414ee3728e2", "2d20ccac97cb11460097c10c90feebac3887f92d", "110c55b440b7c6a1692da9d8ee52389e43f6e76e", "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "58b0be2db0aeda2edb641273fe52946a24a714c3", "1c0319d67707dd7dde76e47668e852e74692df30", "8b38262f1b7258bb168b0edc401699ec56f52e28", "b36833aacc1ae72f9ccb9eee9d9623df19802fe0", "818dcb3bac6342c02eebd896cd0a46bcf2192b64", "5535c0f3b8e27dec1437845fe362b8b6924d9e8d", "5906297bd4108376a032cb4c610d3e2926750d47", "d2069cf09a9b7ecffecdd32a7a34e861669cebcb", "1a6b88105b2e5c5f92bcded1acb0769818858838", "47c0c0f925d4e7496deebb6385cbe81e8582ed94", "4f261ad96d6775ae3b8e9d5f0a62bfcc4c13b493", "91d216e72a774b10c1eac9bce5b1046fac8c8a97", "3d24b386d003bee176a942c26336dbe8f427aadd", "861c650f403834163a2c27467a50713ceca37a3e", "0b4c8e23800ca4c2fc58c4c7771c229faf0631be", "218a8065deb64bdbedfc3f8d889d57dfc8c42bfe", "20044724665208227ad54d9ea98b08dfb1420689", "484c380c322b2b5cb5756c9e94608949fb5d5e4d", "b5bbfa92c035d2ac65f3622ec3d15cb8eb3bfebb", "9e071a5c3b8d85627c61bbbd303f919afc64ac3b", "e1966f234ad3f30302af3ddea70ed9eb5dcbe120", "10d46f5d09c0d334e1d29779fdefebafc2bc67f7", "01df75d2020931ad30f827653cdde7fba06dda5f", "2cf525b50a50d142ff86b750ecf50421f4361bc6", "d10b03ddae7348ea8de079f6175d6833c885a991", "48f211a9764f2bf6d6dda4a467008eda5680837a", "544b31e9de8e70a6f9ee0a93496f1c8769a54a32", "4303bb85737ecae5fc27bdf598056defcb289a84", "3ec6fab063bd0b1863357d3839847e8be6759c7c", "05e3167206bc440d5aacf2256fd2e2e421b0808c", "3b9d94752f8488106b2c007e11c193f35d941e92", "2dc4b472fe257522a106dc1246b758113be60b59", "3074b3310968d012a760fa6a77ae0bc90f5ba8a2", "e0679f8cf0029c04a95d966f562eb0bac3145adf", "1ffe119fa86a06e671adf6df51b4e8c06384bb16", "3bb5dc57a828cebd484750a51d9cdcbaa51d8f96", "7c5e33e18ef4fe92907bd1b9d752bcd85a4ec90c", "45513d0f2f5c0dac5b61f9ff76c7e46cce62f402", "2cdd5b50a67e4615cb0892beaac12664ec53b81f", "2597b0dccdf3d89eaffd32e202570b1fbbedd1d6", "6d74e491bae5ec2768c0ceb27e54669704c47ca6", "3f8fa9d4772d0b37deb98cbc9903da6cb754799a", "5be5d977fc1eb0ee7b6450bbb1dba01c8c7ddfff", "129ac698f62ca7f9024423671f4128d83a0c3c66", "67e19d93e3cccd08a93d3aaa964cad8bae99ce4b", "da4170c862d8ae39861aa193667bfdbdf0ecb363", "5932d4fc13a10ee83b0470c8130693db4375365c", "53cfdb7392e6da9e617eb490ae933aa682520b90", "0a0d5283439f088c158fcec732e2593bb3cd57ad", "0e56ad2326a78c3e5a77db699c6fc4c44666d46e", "4d7771c0fba963a5a26bf3683a5650e750caf0e6", "18dbaae05c18b316d6567fe14f89d3fba36db7da", "bded465d7098f4e3c614ff02b3beec83b439413d", "ab3baf12ce8316ae495fc7679ba34c5f704934cc", "e24294adfcdb0334c310823c591f15e8829dc224", "b1309769d0411478af6c354f42438fde3813ee85", "20177ef915378ce6d454be4295ab190fbca3c64c", "b68150bfdec373ed8e025f448b7a3485c16e3201", "c76251049b370f8258d6bbb944c696c30b8bbb85", "6ce0c8ef799d1c01fb0a532d736478d9698c2a45", "1c404de2c85a1b58cf7048ca645de6d392358779", "c7ec456099ae2d0eee073ca1d546d7ca57dd4a85", "bd74c7b6d17e2515583cc26f26933a785045690f", "614992cb937db50a7739bce18c1ee806f71fbc7c", "d008e8662b7e482b88e6dee7c50bd939d28e7628", "3048ed5110a80eee3450d6658d65c90c2855a541", "8984bab6e9523b65cd8c482236eea0af8eb88743", "e10a257f1daf279e55f17f273a1b557141953ce2", "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "66af2afd4c598c2841dbfd1053bf0c386579234e", "fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f", "1b830c8dc75952aab85ed1ca59e44fd83abb5e03", "f3f038f4524766a1a8e746280ee2082ec979995e", "36d63f879588faed3854aa363577f577390c647e", "11c535b6ea3f6230b97f574d8aea1ec45f157a33", "6cd93ce2ca1fe3fd782c83448e0ba060b2bccd75", "132f88626f6760d769c95984212ed0915790b625", "d02b32b012ffba2baeb80dca78e7857aaeececb0", "4cb852b0893edcf895aeccfb4e03055073777f5e", "4166aa3fa97e9e835056133d2140c2f405e8a9ab", "40c5050e470fa0890e85487e4679197e07a91c09", "3e687d5ace90c407186602de1a7727167461194a", "a806ae21b7e50a9f8bd37014ea4ea7bc8384fb4f", "c6338a96e14521930b8844afa64afc03bc9f6c54", "978c6e9c01dd6fa64dd0e357bc750345b06ff6bb", "2e0f5e72ad893b049f971bc99b67ebf254e194f7", "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "132d6e171b811da9af5f772bd83c78d744214429", "246638128509f3d70477b7f439c6dbc77bc96abe", "60777fbca8bff210398ec8b1179bc4ecb72dfec0", "f6c7fbd84e6ac61af40e670e589ec52fa435f396", "e3466e5ba37f33474eff37555ac274cf098621cc", "40928537845bd14f731b753bef8cdab59661c090", "1ed953c92ba011c908ff75f45d81fd7523bb3d8c", "f0fda989277302ffa8d2a3837c95fa7c90585091", "0416f5d1564d1f2a597acac04e81b02b2eff67d2", "1ea4e6db88a63d1a635e90242ce81adedaa803e1", "f21f29edb7e2f32a587ecbf91baf62896480c0db", "14c988aa9086207b337dcc5611aad08422129b42", "65293ecf6a4c5ab037a2afb4a9a1def95e194e5f", "079b6800e3130ca2ef1815a35632ab6998848ef3", "40205181ed1406a6f101c5e38c5b4b9b583d06bc", "3991223b1dc3b87883cec7af97cf56534178f74a", "e2df2b16d63dddc7a571ed3b993e5ffccbf2337f", "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "abeda55a7be0bbe25a25139fb9a3d823215d7536", "9fa1be81d31fba07a1bde0275b9d35c528f4d0b8", "ae753fd46a744725424690d22d0d00fb05e53350", "25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb", "e91ea0179977bd295751c6436f385fb3fe1ca3ff", "bc66685acc64fa3c425c0ee6c443d3fa87db7364", "8c8525e626c8857a4c6c385de34ffea31e7e41d1", "f5e3e3ffac5c6605f71b1310ca7162448f388b38", "441132dd4ec14991644723c9642ac3a63181753e", "e3e2c106ccbd668fb9fca851498c662add257036", "f2efc85f9e20840c591b4590fd9ed202f727546a", "7f6ae7cb74d9cab9d7add9bdb9ecad9df6c7d007", "4db62d2f236c708916ae0d078bc1713aaca4cc46", "22909dd19a0ec3b6065334cb5be5392cb24d839d", "90c4c8bafe50500312350e73d93eda6e63196832", "e94c05eecc78008c12090e24e13526dd26d0a644", "4c975a0615112fd9eeeed157ab4842509b0e15ba", "9fd5ecc538a9344814dc00b92beb45c54d5dff3e", "f348d23a88fd81e05585897629f2f230fcfe77c7", "29fc2a8c6283543fd18d758b5079530f7316bd68", "b6fd381fa41a2d03e170ca686f191ab1e4b69615", "2258e01865367018ed6f4262c880df85b94959f8", "147307c7e67e1c3e5ceca68644f365d6f44472fb", "2701bd6850dc1b811ef7697cc1cd19405b99f990", "940002939d519227427619ec437e04676235d558", "1bb73d8f1224a846473d0a2ddc4289ae3e21b61c", "bf4e6ec60e5603324f6a40d2a060420322dbdd62", "517cc1084952133b6d2ecd0a535cdc3ddf8955d7", "664ccdcc614a8ecfbfedadc7b42b9537fe43d3f1", "8dc2b137b2a1a3713f6ce5e78f621a9f0f036bf8", "5fb635801e65a12b5c52085da78152d2df6c2ff2", "e9336cd4c63139c481c2ed9624b04f5b9a477d80", "53079196041fedeb5f1e236b1c76c7108fd8346e", "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "e27677a88e40d65cc28e4c8ecb35388467ec3cf8", "10b36c003542545f1e2d73e8897e022c0c260c32", "fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231", "5f2a3fe58974a4e60dde5cbee46a64718ac5c179", "aab5d43cbd215099cb7a947665072f8d6d5fe2c2", "8db60e5196657c4f6188ffee3d2a48d188014f6d", "1183ef7de3083c57ca9152aabd905814bb486a08", "d5aa657e0e34dac4fcff484496b0e17d5ae0f52e", "e3255ab54d4ae6cfbdb7bf103108663bf4c6e0fc", "fcceea054cb59f1409dda181198ed4070ed762c9", "4820e34baf57e7b3d8d70df915c1710e6e93d631", "d5f1e21f71874874fd4122899a83aeae58367c5e", "18ab703c9959fbea7ad253a4062eb705b245552c", "54f0fa07dee7bd270d3bd8da9011ca90df78af59", "241d2c517dbc0e22d7b8698e06ace67de5f26fdf", "2bfd2add86071064bcf3795dbb57bdb1643ce2c4", "efe208a03e2f75ddcebf8bb0f10b1c0bea4824be", "f627f2ed56f42dbc3ba127f2a820630dd0e03c52", "e604e8a2a639df10704e3f97fc93332589b8c160", "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "11a6af9b32a93c4053dc12f70afac64a4138b2d1", "7c9f884137a22c3bb5cefcd7dfc55e3a83979771", "e281a0f632f5dee3697578d8ddf69da92c9410ab", "220f6ef6f4bf4729871822e08080142359012e10", "8e0cc47c194ef7daf15aaef14d61e493879ae137", "b674bacb45c1c96e9c93792019478a7760fbe7a6", "f5adb841e30eb635b91e95c03575f3b8767c9ed5", "a6c40d0fb4c0420d1d974f9fbfae83da514ebfbe", "812e06a4cee26629e198a0a6d991616933ab14d8", "9d6c04aa6eb0c3d7dce7e5717a16b56f86ffea48", "59778de271938df6de938deac17fd614f4640ac5", "95e999c08a9cec339a7e53aa645d32279f9a550e", "ba1cf2d0493f25da61bd816f92712291999c0ef6", "46a93d3bb2a2abea38e432a9a125d225d729f0e4", "f3b56b873c48929361c1cada7b18177e3f4d2727", "b40856b30023d469810aacfb48e1c502804e8b7b", "5ffaa04d15fd159c420cc10fddf15ae39a6db865", "507bc8ab4a598fb2f4108713e8c1e55c180c007e", "fd68662e0fe3412d47ca07d33246212d4ecfe590", "f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d", "c0d21722d83c126af4175add38ffc893a33ee01e", "27b630b8d189cc9d6315cdb031573184e7c875b3", "8628cb21f0ba3c270d731646b350a059204d26a4", "056d5d942084428e97c374bb188efc386791e36d", "444c99362e81925c1e710eb901e8f3b4659e6a42", "361164861d8e4676079219f6d099358a31fc4025", "9dc263210770e7e836040c8e9d0edff40814254b", "5f0e9cc18374a670dfea4698424c9d48494f3093", "2112edee4a60602e9e5dc5e4f9e352f983f0c8c1", "f496c321dc171ddd1c0f280436fe40722e1b03ce", "b467f07202aacb8c5f7e053a7fd4e72d0da16b22", "62d719b40d3c8db3d33f06a5fdc34858c4d498fe", "53f981cb6f1cf19b08255c571d62cc1073fd792b", "8e74244e220a1c9e89417caa1ad22f649884d311", "0393a25756c6e5d298ae880f6b7b5c9285092def", "d01e65591745fc46a3f69a6c9387be17caf55c16", "047fef806e6afb3430bfc6d8a6ab09b48afb9822", "4469ff0b698d4752504b4b900b0cbef38ded59e4", "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "001973a77bf8fa82314de667af5b041d856b0069", "0480b71244b59ed13cfe844c8bac8883a0c40573", "01d785bb989850019001a418a16202fd7502ac14", "c9baea734a14e4302829769ac39fe8c48fbae5a1", "6f79c4b82f9ccdee918659a8f7091b8ab99fe889", "f6f12e0fbfce067d02445abde76be0522e4db329", "42b58427ed3265ad3c46b3e378ab09c26e91117c", "a744c82e10ccd67e4e6ba73ff4411bd45d95d533", "4e3625382a60672c09c6614214f2b3c1de61898e", "b3a45118534144f50a56653dac8109c73fc2c0e8", "b8a4e7c21c3163b7595dac0cb00cf518e2dd82b5", "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "79e39f3d0577b9c5a47b93eb6d75bec04d14c07a", "9cabbb686883635d8755706ee4f1349d812d7ccb", "8ec3325c12340d1b8b746b7e9b40616ace1f4d0b", "c2d35b387518496d8100f70e82597b002eba600e", "e27301701e4d2d7da4171e6c560c4fb3f974bf2d", "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "b3182d09761014b4efa2787b6a66700b52c979a6", "b13254c2c9ca90f57e385d34abc7fe78d74e5222", "343192938edf3e650169f1650349206f2b02e00c", "2b9659169951d968e437345df0d4d784f6843734", "2338aef7041339ea4b894441e92267e4a28e4bef", "2c5bfdf6b4f9c06a42280e99d101e628a1dc597f", "f6d35f4884d0834f2a2b29fd6341f3b4afefb119", "4a64b020c72db15a729939a2c041ef4f5830f0f7", "77a53d4141a8081657ce08b13dc3328ac4a4e689", "b64c2baf82c51a7538136c32f5193bdfef946297", "01018a509f32601e1bbf7f0159aad1a513e23f92", "b7b5fd3e2cfc39967e389b974c1cb418b2bf1b8f", "2b8c1daa238f042612260f0c3f8ff36e27c434db", "42af47b99e972f2f5f1897f00082f37496aeb7e8", "22d5719a95be420e0d1817799498e987eaf6676b", "5c24758a6deec8fd726b25aaf1df69fdbc47072d", "9a57f0233a616bab84fc35101637765510b1ed83", "d04631e40b237ae29cb8d2bd187b04033580e63b", "1922082de84afb69c966a7628e86012342b475fd", "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "5348367971754f6b63bd0c595fc3e331eed8950d", "b5c945e04cdf204358e7964290867b38435ef458", "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "37c4541037b67e8f4c538b285efe80aa251a49b9", "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "f0325a190d5d3e265d21e6a11342583e52b338f6", "5da14895692fad7d1f403279faa743a657fa7ac4", "ef61e43a1cce95afdc0696879085e834b981d5de", "8dcc1e0f0215dd5fcb6d698c35180d40dadc8dac", "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "839a028f5928adca3b59c8bd1397d31a88ec285c", "b3b97439c33063c9c45c305b67dd8f6066052096", "bd4e64b1af4feff3e1e641523d99a642de23dda2", "b0a1f562a55aae189d6a5cb826582b2e7fb06d3c", "c9168495c99b37ce601bc778419c2667f34cb29b", "c81430d4a9171d52920e36cc85bbfdea8457487b", "574476d73737fc8cdf2fde04a9750d1c3d83934c", "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "c4ec7ba2541258913425bacf925927becad83033", "50797bf1a167ba294f640d3ae237cee962427cf0", "5b74a57508069c719cff3c5410984be76f6b7785", "819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6", "14261ffecd904d9aff97d98c70e49ec1d870112f", "5d28a54b1b27280482463df85bb66bc2914ff893", "14f0283c703e450e5f17cbe94878896de865ce30", "4d5c179ffdf09255edadb1bb7233e0c23e55b8b4", "5fe89653d22d35cf98a6fe6e6793da82a55f5c9f", "3e7b5b07da3465103929b4347852d456c0f0ed58", "349f305fff405c0f38b9df2e1648450eb841fcea", "4a0707131dab1c64c03bfa0809b050d34fafeeb5", "f08b25b904aac24b84e35ee7acbe208a7775f27b", "2c39e50b2000fd73f648b25d70321815e410162d", "8d9f793bbf6a36285308fdaf2886c9c377f40413", "f043824a1d6ae1eb2ae1d5c1845c0a050efdf345", "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a", "f61416e740ab891824c27ebde50cd7c78002001c", "c887a86430f0444f71ea4ce6da807455d0435dc7", "3507544e326253c47e4896919cccafe97a0c2661", "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "82ff25b6e7749e0210b2f8d5a0666f3499745154", "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "65bccb76384bc95c8fe53f2d2a8e3f048fd880bf", "4a0cec395dfe1ab634f53cf295409281c40ed5c0", "c3717efdfd3d19018153d52c21b8b582c9629fbf", "797230c284a24ae7b3c9781f8188a59345b90838", "6c10226a1f68997d85aa0970521a9ff9507e0caf", "28bdfdc5fcbb6ecd1d9bf02356e5a80ffe1882b3", "f869693e44828d09bffd1d79f872071aa09ffd57", "65341edca2f74ffad7d0aa56f20558f5305b307e", "b498990a90a2b60802f9532fdf88f23caed7e864", "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "32c16cbe2e6dd90de95150051114124177725be3", "2b88c583cd62130f1e2c6921db9703a0c5746a90", "18babfe4c7230522527a068654eeea10b1a827fd", "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "f7dbb15ed72d1282445178dab3368d7676763aa6", "5bf6e7599c38ade8ef3b97a3411a7f84418b6062", "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "46bdfee362a4de978d24d53fd704d64d82273718", "8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa", "9bf0db2da5fcf245d353350f69c8eed8a63eaaeb", "46f698dacdb5f76d6b4dae67cb1ae4da2b789398", "3c7d2ac29c867600d3bda5b356db76e3a5014a71", "57165586f65f25edd9d14f0173c4c35dab8c2e66", "f2b627f11a36c359de9aab6c44796e1d30d30b64", "e3cc912b9ca074e3d419c1dd289fd1b067fb61d5", "a110602d15b1c98459071501483366a56cfb59d5", "cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57", "4b7302e805eb079ccf2b9b6bf99c09479d4190e2", "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "0c8769bf0501fdd7fbc94ca81601de4a40679295", "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "f9c580a24bd3f73190ccdd255208478e999d632d", "3e08d000ba3dd382c16e4295435ef8264235ccbc", "b98aec5bbe7116fa3ae5f9b4d77cb1f1141eaabd", "25a5f7179b794ab2bb7283c8337480fccee51944", "67c25e73b89166563cf5b70ffc043bbff23a321c", "3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc", "a9fcc7552ab942c0b54d05488da2310127fda764", "b12c9773c6d948d36698666ec351a78c449c0d06", "9ec2fc7df2db247a55a1af4fcb85710b25402ec1", "07f4ba45b771ed123b08261d88acda19406a7987", "9fed3f4967bcdaebd1c321fee18fed865020a641", "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "2781de1aa6f4c9621ad3af38fc58b894696f1791", "3d2758e39308a64d2163cb638e684f58f868dbbc", "28b59fcd3d642f8d92a7c868c0076b00bd7f55cf", "5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7", "92a93693f43a49a7b320d5771c6afaff98b27864", "40fc2803d3df9759a3853b040588a7d9be9542d2", "21a82c06f71a99ce40f5ffb72fe2908abac8433c", "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "bab47c7bf80c9310f947cbdaf71b3c983c497b68", "813dc79f5f439050d68c923a410940d0d139ceb2", "54c5fad54492650f6eccb90bafcab8c2b779ee2f", "1849b903e19b3abfeff7b0c86cc875f6b42b0818", "d7c094f5be41a13a579d8922ec4d50c70be1c276", "1d4f56a9bb093c52569917537a93c7671db28e6f", "280eea0fa86c811b5422012788853514876854aa", "7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9", "d914c53cdf26acc64259d381fbd45c4e150633ee", "4b8ecd100d6640fd7659be2715c86b7a9103240b", "e7c2670a0785d0fa1fd768f5c119f0e43a376b97", "9b477dde9aabadba1ad2f2f180e755f31af904aa", "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "788a4db5d51b26880ea1d092c121804592b0ef5e", "ef92368c21c1310a6134de0cf5befac4443e3e85", "128ea529f079431220ea63229c934f36287910f9", "baa6be848d52268b71c2486e43940dc64412543c", "4163947e9f6538df8e4171b1e5f378d2728099df", "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "328ffd128c86fe0b2d78fc59f3b83cf9c267ade9", "4b0893bf71e4e13529cefb286c78b166a9491552", "48c494a8f1fdda835417ccc395a42fe210efec2c", "1b6202f28a66dc73f51eab72b2e0e73520f06c48", "7da261ca2cff495bd7744504797c4c3d5b8b9b4c", "baf3b3abb3b449a8c1c7850c3ba0ae813aa6d2ad", "2103bb6772bf01e43a8a4e8e34f16baac7d7c331", "b88b57d52f6f16986381fa0ba9d5a1387886c157", "d15662886a615521d4205fa1ededb3d794b9f944", "0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc", "e95cdc2997760c90aaaac6561c84e68d5f94aa36", "159b87e6e68b18f4daa3505bfc415be9b21a7db6", "45ca696076e9c073e6cf699766f808899589bc88", "c79eb3b4d8324eb824493e53bfcb4d3980398523", "a9e0e667537c9059b3050a64d22b8fe86787d913", "bfe69413c439327680cba369c155f1d0fffb401d", "3039a08c66d45168ab871303407d7e3047529bf6", "65237b5e96c7492a0e5d01ddea5b1d381da408cd", "5d9822e581ea793bc70998ee8b40c6ae37e5a994", "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "1a10782ce899b0f884aaa8ef4659976adb5d0699", "6fbf3df212eddaca8d3600065b341ad5174ae5c1", "3aee2ec5a43d599742af6a87427095b9cdf06a8b", "6475c1e95da0a3bd36786a32d00a893d85460e9e", "39df8bc28c6a5ba494bf2d31f68bba06acf934a5", "58c17688fc08eb69ff3b20803a227693289d63c5", "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "4774b9853968b12156287bd42bb425d79f99e313", "a9624e3c04272fe06fcc440a04b373533439c111", "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "572791e2f290dc0ecb05e56bfa714c4b7af79b08", "9a5473662819063cb60c1b29e6544b9314b9b29f", "7372c1e9cb87dad88bc160536263e461bb7ab04c", "1ff89bd94d8a21b7ca4bf844e2d366f854822918", "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "267bd60e442d87c44eaae3290610138e63d663ab", "e9c000b765ba5519050a61726e007c430cd5bfcb", "1ae8afd68c2bec15ab5d02299c739151cd668ca3", "f668ada16a00836498445bd29037e4af21f75d7a", "2524d9d45471fa8908b17f04060b68e7cfeff841", "8c8a61fc2c0e426aa64e50756b777475f3beb49b", "4938651efabea4c55acb9485bdb0858a82e9013f", "f59ac278349083a50871822ea08172258030265a", "7a329ed2735f5401d6f978036fb859b10a4fb96a", "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "03306aa44c4073c14fd798229ef5c81c6ae50314", "8b928332d60e995bce78ff543a2d7a37f1103ac6", "cad7845e9668884caf4842b14983ec0e45bbbc75", "89f680a78d118f14753056496dd26059ca08a6c7", "5e56c8776b5aa6edce068255134ea31670755b0c", "e8cda2c754670850ec722799640c6cb42dfb8199", "e5f39fee9b241b83f27ff9fce0fd027268c6d030", "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "795dec6a13b47655145e635a0e7b1ec04021ad7c", "61ed130bd12c5ff8170a9bcbb4e108657ec5942a", "b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53", "e48dea5a5c4d74ec12b6817997bbef7975bde526", "44880df54e6caa3e7263db7a4d5cb77838f4698f", "fba5b5a8675d5f9e57243fd7a1320193db321150", "fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e", "866dd3a16e035a7c724f8ec02d26e45655f7a002", "a045ce22bd4372c3b6a1c5ccde5df88974927fc1", "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "0b5decf8a99c49a64dfed76d4d31b0b71c293767", "f8549b73b76078a6c89a8c35040c73fcbc884e20", "f86792e5f5214a7a79b80d90ab1957a9050100ea", "40d4fab85e2e1557e61d03b92429d64c6efba101", "291be6e3027575287c24f4363e4bf7a8b415d4c1", "df01f6be9573a7864e86d960db7cf3cef3a8199d", "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "cef092bf9beed65e379ab48ef2b43498d4aaea92", "4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59", "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "fbece7c5584662d1da447b12e9a2be6fe626216e", "300b819bbbe857f5fe89d0895f907073fc288719", "d84f9b4dd297075aecec1135a280f92c8ce7f1af", "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "3d1b0c7e9ef0e31dd635041539e795dc07ebee86", "9db841848aa96f60e765299de4cce7abe5ccb47d", "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "094aaeac2712700e340827e2ed2b6d6e4c556ded", "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "38079a7f127ee9279ac99c4e18f87e80777cc895", "286f443fa85bc9d892ab54878c0ace0264d0dcff", "2965d092ed72822432c547830fa557794ae7e27b", "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "1442f7813f2a14c14f977b2fff833f5c502db59a", "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "29a46aed79df53a1984ee755bed4c8ba2ae94040", "b35464a8609a257b0b43b1a0faee0402a054f1be", "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "c5ba4e0a8abadb68b3de135e3da522059a99b2cd", "235f4fad10a5d9e043759354a7cb94122a8f10fc", "d8fcfb25195b71b85cec72edf160f00f160cbe70", "92980965514210b4f6dd074d122078d54684f724", "3a92179c7d9f938dd313ea2620f5b3329f167d56", "5014f5dd9d3586dae0572325085647ddc187fa3f", "18219d85bb14f851fc4714df19cc7f38dff8ddc3", "d7f22666206258c206c4634ad9b22f95e44504f5", "4eb2f74766378c218e01cca0f23db47df00bd1fc", "c74a42afeae520ff6ab280d17bccf0d082ba8de5", "9662acb7fa75691ff0e7d1be87763af469419b8b", "2a547bf34d185f80a0d476148721b6f05c276256", "4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b", "072457191c91a50bd16df6d211380c9fcc21a057", "d0f709ab39e280467d854064132570c1d5316de5", "de92ac27693598254554531d8cadfd4728c423a1", "de608b8696b151405105abef1de66a2199cf1f3c", "7711330fb88e2522a5779a09c1622b75557f9254", "751923405938a9f6b9dff74cf34dd34c7427b30f", "29d291e71334392f6a04c53a4194d4ff29a460bf", "11ce6be0fa8972659bd288a5f51c152fe38a1881", "5fad6815cefa1ea061bf495784899e319724df5a", "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "c77c094faf7b1a4e293609a0909c7c50b468675a", "8fe0a35dc47698b45f3812bb502b0921b349ae56", "fca56ec29f1d567f829be5f8477a81f1ce732f86", "71599901b889e24372012ac405d5cfaef79f94b8", "00b543d51bf6d16b4027ded325387518cb7fcfe1", "9eb891b89443bdfc8434e4c9e08dda0253fd242c", "1bea531e8271202462c7907f60a8458fa5aec00d", "e90816e1a0e14ea1e7039e0b2782260999aef786", "d8671247f6188620c6e382ffcd15d3e909647c63", "0c25a4636ebde18e229f7e459f1adaab1e9a2db9", "94bc017ea8795c774c9dd572ee44673a51dc631f", "0f94f4934d0a26dfd243852036468ecc9bf8d22c", "ab98cb28dc85f85da8b7b3acb090008bab26dd54", "5646fb8250f8c900e5f281665089363abcfbac8a", "213255dca20f9a62d5121bb3c875d99c57913a25", "1454b646866052ef61a838737bd74ae191210cf0", "eb8ee9e0672241ab3acf7ded2d22d97861da65fe", "fa8bb8ba04432543a65343bd66b4267ccb8d4d89", "78a77643f8040b3b6630985fe4236a302d73e562", "4fec93d62355224981ff6323cca962e6989c0b1e", "cdf246d2eb993e80786443a984729b874f958657", "2ebcb7d0f013fbc7225dd2305d76ff985b43eeec", "a07a894108b5ddc19d18e66e969f47a3b2a6e006", "622d84128caf728a77ecc720de4806592fb96e94", "8566231abd7e5bc71ee0bc0da84b8d76ce07a501", "5cdb9ef5ad646a6bdcc7c1fc33eab24e0a4a6bc1", "37e0b4055a4915ed0c802eb91ac3a72ceb45aa42", "83ee7643adeba92b6244ad61b71f539481430220", "5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d", "47d967496693a4842749df307280197fdb8b9c7a", "6008ac8efbea0f9cfddfabbfa02f62f742685028", "1ed39db202e606f25aff93f3e4fe135283a50cc2", "07ea8df90f4bf47d24a42aaec3f9b282582e200e", "d80f1af929b507593c06442c6ad93e381b40283d", "9829848932525928e5b06a8505dba2edda22c569", "ed0b765d4a477240a5c221c8b05dcc7e3abefd4f", "11a1e99fc65fb8567d7f52dce941231ea949db0a", "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "1a660d8576ed749610e0e040076d27973aee44ee", "05036f4b48857275f50a191f83f7ac1ff0bfc5b1", "da523ee3b7e8077713ebb7d903c3dc3bcb78921a", "dacf0682d0a58af9b5dcfe15243f30aaa2d94a34", "e66925e6aad8d89b8a140b70e495bcbde72c8011", "169ae32829821d5e22c4744a42223f78a88de3b9", "0db41739f514c4c911c54a4c90ab5f07db3862dc", "e7a8549865978b478699647bd259f71c516c4479", "0e56ba97ea6eac96c57ad4773af88a22d44f41b6", "55e28e4c174bb7ad2fd80be3c13a033bbd91ac7a", "632c114e12a6b88bd488ddfb1960d669f101ca3f", "88d84fb1aab19f756c9d839e2a473834ae4b68b5", "c8e32484bbbc63908080284790edafc4b66008d2", "3504852a821693857b30c47e08374b479d29ff8f", "a3650762391efbaa743b8212ee408b09f66f0604", "081f0ff96de80b4a29d9f52e6e058bb9482efc2a", "8ae88dc7ba177128f89223f48921e3a74d8bf1ff", "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "70b23c6d8c713f5663603343b19ea5873b6696cc", "0afc4ce1ec16ef0a9ebb255004348720e0fe8c64", "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "896e2776174dcb86d311789ab83a266151d0595b", "4c6ffe1cc479d86adf5126174900e2f23afb22a9", "7b78af7951708f6059d374e2385a69ea367f62d2", "e527cd5b8a74cb47b291ff5b3b793840e5fa5b11", "489ef25ef51b2a2e660f8085d482fa5801d59058", "a91c74e3bdbc560653e25fdb02d337a8d20186f4", "0d08ab78ce86e053ff3003aef951a5174d56beb8", "998b6a419e5ad9ed5b9e83ed43ee9688878505f1", "500eeaffef9b28d9253d5ac3fd0bb3a9317e482a", "1d08754a95715d1058772b48ecfb082bddfb16d8", "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "c2f2c89d7615df07b540748d6c53485c4cbfa9c0", "45a44e61236f7c144d9ec11561e236b2960c7cf6", "60978f66eac568ae65d3acdc6559273fc30bc8c4", "72a79f351d4ae03ff940ff920898e41ce960f58e", "d0fbebf278b7e4f10a25e583743080a57b2b3f3a", "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "9f182f2f1ed71e57cf56ef161e05ca3e8816fecc", "db640eddc51258cf6b11e442745d9a4bd5d6995b", "22ee43dbd2bdefbc8945d453c6cd453f49ab5eb7", "a9721f9680bb21a0849a912ed24eec9ba50def9e", "0b8c9acb478c856eb157c648b25b3d60117392fd", "d120b3c3ea620cbc6400f0e31d584fd2f2e8c8b7", "6e17c16fda71e8cd7abcf5b52b7f6438a69d9958", "f9296decd223b13fca96836caf42aa037cd5055e", "166e7fd811d104254155c90506f2f7e77947534c", "2f04c7aaac3a884088be550d1be51b4a0b585a2e", "b6cff4ba590eab964bc49e079ed1a72a49d9e3e3", "3803a2cffe6866600e0727cec6b0d8fe66d97728", "6388c3f3559b61632942856bbede67b724542c9e", "21262e01039e5994114b4c102fc80e9afa3f1bde", "2bdc0c79b26fed51bc2af1af16117879ee3f571e", "5317bd54ad696f40594d78c3464d86d8e39bd75b", "2cc17e1ccb5f1f67f8ce882e683d8c66475330be", "321d1f8d13075275b207dd048e9b655aa8846d57", "7e703d57e9eea387f4d01e47f4990fbe403e4a8e", "8e679b8f165b46521c76a766ddfb538fa90d3f94", "eb0cf5727275f89323e2cbb4c0f0515b8ece75f8", "b8b202fa955801da840afc9f523d439d14d87cc1", "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "4b2bafe419e5b40f667601f112c6f6cf8a7c86e3", "77b5526c488f824aa2a4e898f22a674a375b1aa7", "e38c0c03f272270aed6a39fbc6275b132dfb498d", "a67a84115304d3e55e00607d0dfbd3b20c8b8672", "c8633d0eff70feb0a378337237d4a03fec582290", "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "557890cef6e9285909904fa141ccddddc0da90dd", "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "2972997fad77516bbae27fdafc0bb44f0708e806", "5e8677eb21c3a5d24c52bcb93404416f7eeebc31", "f09bcd575c8bea73dcfb413840fb14d6a4caa4a8", "ffc02195ad8eeafa955680b128b99ebccf4b0a91", "159afb7fb0740f0b48b812ed5183c2229089044d", "39b741be40e093f92519cd15cd2deb6e114d6200", "60538302d064da95128f19b06413f0a16f5552d2", "ce6d4264e63b195563f8b958c129b03cb2c989f5", "4dbdf48318339a7ce06317137e7aa664ead783ab", "76a8d37bab548faef5e7ee1653be8985ed0713ad", "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "9e644b1e33dd9367be167eb9d832174004840400", "21ad377aeb6ff099c5a59fa82cec95b0bba177bb", "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "2dd3dff173686d66af70e7180fabd8755dd1307d", "1be32039596ff52fa09772f4606b65845d1c5853", "1d81293bc17a135cfd35912146c538cd81830381", "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "3b8f605c86007f7f22131e7c31ca5c327304589f", "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "8432cae0d463b46980dc3ba585affaaca90d1072", "075d9baf2ac827327a5fe63bb1f873c4f54f95df", "fcf0963095ff472132fe46d0cc543aff2735a0bb", "95296302a7fc82edf782cece082d7319cfa584b7", "296cacad71b4181eca4a571cf080d2baee229dcc", "7e02b0bce72a88f2f70b199c5dc87a01fe217832", "5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8", "f9f34a0558a58720e1aa55421ff7583f049208a4", "d5c14e768f91e97c16d6aeac8b108458d3eb8004", "42f643a184183d639e976daa756c277779c066f8", "5084ca7e4db3168e674414ae55cb6f4e682214e1", "6eeb16c858a53d48b7d669d1feada739c80c8563", "76c327cce83905bda72944407fce7746ed0cb6fc", "afa24eb881c7011e851f8a12dea32a7293cffefa", "7766ab86a7bea8809129e4af769b4595578e63fc", "529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19", "2731da4a48291640b2698cd5909c283484db10c3", "e37c8e2823cc3429caca4420f19adf329c62d313", "8877c5afa16b025452e444e0798292fe7ee4dca6", "afeac9270149b927b592e2299d11095fbdf8d308", "d5bbfef5511d215bd3d3cfee3926d313d48c3001", "0b79f0999eab1e2ac586a97dfc9a71809e7ab262", "14bfa18bc0a9eaf28732948813c764390c80acc4", "da628bf4add6e2a4631be1267033143e5f716ebe", "62dc594c1eac220d2116506d187d9fdd5ff8e795", "60fb007eef153fdf9c3d6620c419bef1c657c555", "1a20c1d04b93d91cf2fd0b4e3c7bf1153a93942c", "ad88fcfd12b62d607259db8d98e2a1a0a9642ca0", "4c39000bbd6761dd9e5609fe310af51facb835a9", "189ff58190c6ef1ff49b46f5c68a7b124b9b0059", "092a4a0f16287c26dcc833958b87b32346546c8b", "4adb3fb481d5ec33d6161d780162b616ab6c44e2", "1f55079a33023518748d66869e7c539994c61c86", "344f647463ef160956143ebc8ce370cca144961a", "b40622567165b372a6e15928ab5ed41413d1d50d", "bd8ff0bf1c6ae27789cefebe2f55dac25ce6f1c8", "9edd7c738171b0f36b65ae771711c38ed1dc38ad", "413f4e770cd05fb382d8ceb4f33cd2726f34b9b3", "dcaceb925cc523b33c32f92255094f70150e92d3", "eebe513912302604fe0601b7e4e85203f69f3b1c", "8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d", "0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a", "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "6d0767ce00979afc26940456994970bb488d4b46", "6eafa9a536d10b460f780e07c0052e7c246059e7", "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378", "0f29710e54f714eeea5233628afc68c680d881bb", "9b9f921646571ede31671ccfb6763d96c22642c2", "203abfcc3df8de6606cf34fa32cf225627f52d00", "25dbf9b12475454585d5050c5cf446e1c4f6dd27", "5be6226f1fa0c3a6f5be829b00f484582d531b6f", "71d3ed17c0642234a921bb45fcadd86520794941", "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "78f4e29fafad7a0156cff6d14e9b92c8b8533d4c", "bb5855056f9a7e4c8f945bd965526302fb5db254", "3481a544e28cfc14108b0785eef7c12747e622ee", "a8123a4e68642b602b5094f2f670ed7aefdd2f58", "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee", "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "5055ec9531d57c6b32e5d122b04602e7441459a3", "63dd47f7ccf4bb22c1e308b263ec65ae382c86ce", "bbdc66937d1ebd5cbde36f3fe8051e168bd69603", "76056730a78d286d1d636f7d6239ec510a1a346f", "016860404c0926dda53b9bf4745f3eb9708fa1d2", "27b2f28fca10afaa046ae3821685d05a267287cf", "ba6aec7f1b17833e7983809926a90951469f5520", "0aaf9868487c1d2ca4c73aaa5f3530df6ee431d3", "1d8a522bbfddfe86951ea7605c7df058b2c2e1b0", "1da09ba7340c77b3f943c15f80ff40f6f9d14eeb", "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "b50edfea790f86373407a964b4255bf8e436d377", "4801256b4ee39e71d5a9a1046c57e3ad4af6735a", "d754586d1bed2074824d650305cb361ef2706f44", "8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc", "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "232f21aa133b75156665175158c65b89bded4032", "beac7c1983bdafc75384e35a1bfb04c52ff821ba", "22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b", "5bb24d1250df62a56cab1445f1d8c5c61269b785", "6a90a2bf7f275b81596e0dacc78ad2991eac0311", "75a92d92ee59555c847973a7422d7356514cde2d", "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "97527b3c58591926800e3586e13d99a8cf5b17ff", "7c349932a3d083466da58ab1674129600b12b81c", "3b42de882cfba6766f6ca34d57fb5001f2686f33", "2f43233c1c165f225bb002874dac967736525d85", "a6f79e6b63ff8f6a2e472625d9311e8c60ac36f2", "6cf9322009fb8f36c01fc54d213e9cd745e62468", "e7397f7f0e83494825d63b75bdd40c3879f369cd", "af4745a3c3c7b51dab0fd90d68b53e60225aa4a9", "fd1003eeca71ea2e92747767bfc6c862c6036f37", "0063b44da282eec78045ab59d2debbf61959a4a4", "9d1e32f6af50354b64ca8f004746073473559056", "4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4", "77f98d1dc114e4a7a99bbdb2363d74f549dfa417", "451d777ee33833a3b5eb6ba5292fae162c6d265f", "2f529605ed776d4fbeac2d73054247b495504ac7", "cecd1bae0495610fc6f1ee05f6bd65d701b75259", "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "f622efd8f7ecdad1b5352ce6d8677f44638425da", "900175d24928921600d09985211b6b9bfea44ce0", "6345eef2ffe46da6d77d07446c1329da7ea00f45", "9e154dbb24f5701921870f5dbd5609182e2e9bc2", "c0387e788a52f10bf35d4d50659cfa515d89fbec", "360a590703542f2ba345b432416398b6dad9e3fb", "12a99c832c023415864f922197dc645e447948eb", "a53ffc7a9ca049cf265dc37c818b6283f56b6dbc", "101c5b39f4fc4dda1f39bf0c00e196f0a4720af2", "74fcbd059e6749ee5073b7323d121132799f97a1", "6f0417ed89e3750a3b39d0bd7de2b4d12879c2a4", "824364e018b4445bcc61ae86e112e68a4a067108", "2efc6f98720b804345c030e22aef6c9f4a53023e", "2f2aa67c5d6dbfaf218c104184a8c807e8b29286", "6c690af9701f35cd3c2f6c8d160b8891ad85822a", "610c341985633b2d31368f8642519953c39ff7e8", "d348197e47a8e081bd3f12a22bc52b055ecd8302", "f7a7b1dc7a4a7adb5e0d612b2dc86aa32ce80ca2", "2e43e602dd3800e08d7660e20a128fea49393d52", "0deca8c53adcc13d8da72050d9a4b638da52264b", "afc560bde09cb47eb2811423b14d14bb6a5d35f6", "cd7c007f5831b294160eaf1cc6270af4a0ca9bf4", "8e4508e86d838356c9ec4a7011fda5cd1d8d35a3", "1ceb1c0fc4a9673da6c394ef729e02c9fb96a83a", "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "9059188d07fee979f556e3a1fbb6cd76805a6aac", "dbd566003baf517c2682be50bf50cc2b046ab511", "5f5164cf998a10d2bef37741adb562ab07fac413", "d1dd0c714950cbd89f76ec6b039201eadf74cade", "88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "cd041e47807124d2ee9e88cfdfb47491da8c2b13", "221c18238b829c12b911706947ab38fd017acef7", "98c5b88db35d7ab2d3cc0a63c7ff1414160d2aa6", "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "bce963c494ccce1c66757e69993f578c37564f6d", "bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb", "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "4e12080616da4b540c8f79db2dd1b654cd8345ce", "53baabad70915a852477c2191b8bdb005b8cc4a5", "78569509e61269f5d2276b80f4fd41c22617ccc4", "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "a3208914f7a611bc0135d711ded3a3afe153df0d", "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "b5c3df6e0e3b25411151d92d431908adceca1a23", "443acd268126c777bc7194e185bec0984c3d1ae7", "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec", "570f37ed63142312e6ccdf00ecc376341ec72b9f", "239492717385758c0e64afe4d31b789d000c18f2", "31bac8e29c25d19c11303440834e59ca8ae5a45c", "757fa14ac80b2c375a63119b63c2de257d1a8298", "0cb55c0e73f5eda18849100412499e7dfb492022", "daf99b3ae2f2ca19aff571d88ee47bc45ac46350", "1efc28925ec65879652ad9d5f8be53037bb2f306", "fbd287db41bff55956b9faf4a226a39efe96e6da", "65cea66a59a4e75c8403daf3589f81627d5afd12", "ab02c78c9cc4ab80da45def34f0cf2c1b54fd8ed", "c65407a1a25b3e47cbf21b50bd02c929f9cb5ed4", "9f742d1d5fc7b8fc0ee5affaa4642ed49697df79", "a139c62c27a884cf447ad020cb7b154e63477681", "8ea36b58bb53367d312cf38b7b15013f470fb4f7", "09d453d4949b9d2b0dad1d5288e02ca9ec7da450", "d7347d239a458d47c4cc0ef01c1cd4cd20c00405", "42617a3c9b059f7b53d3608c71b7dd9d932f3c5a", "97429525089ca6bf3b4571274667c92a1677b7d9", "112cc60d3c6268b1563df4e716904d29a7feb466", "469fa274bbef1e8c7b5b4b1948963abdffaf4e1c", "5f6720bd97d74b57fd297dce197c680aed009e05", "06cb261c063a45e14d311fb4be1790857ee01db0", "703d4f376eb2379ccce814c729d15f1165312167", "63a1efb1dc6d269b9f77aea5adad914c30e62686", "c782d122f1bdc3a3d100eb340b498aabff199d12", "3d657f1e499260a3235ce0f955e6289db32d5111", "31bec2ba11ccf217461a491e810dc1d8ef33f9a9", "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "96c10ff56e51a2527239428de369e03df388800d", "608ad1614d8d35d038a3e5f45196c2d43a0988a6", "c6579c0298d055f1c09be99c7329727d37f09556", "a41581276c5d6206ce79c1c7b319556de0d15234", "06288dbcae43ebbc69353d5e3a3a5e2a224916d8", "095c44e6cb891a2397aea491914e572019c7a0a9", "98eb6c5c600012472e7e3f687492e047e6ab358a", "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "c149626b93c8949fb8b181c6220d8e8e8a558f98", "c8663b8d0d8cdbbbb3e9a5b7e46bc33b3eac96a7", "8821f38a22399a4f156984b3e0e5fa7cb3130d88", "83cd39c3a171dbf3e684899c79bb596652d32d91", "4da29057449df4de5b4646ae6a46d622b4d7d0ad", "5b516862b93052cc2335d78a832641a38304beed", "36702fbc5195a6bafc0aa62aaa2b084f80e59785", "aff880b9d855787cc5c545e124fe0ce5212f0024", "0d734f1681c116fd6cc50125321b4bc7f1651133", "6beb699af9f5fee492455ed2632d853952df726a", "6e50c32f7244e3556eb879f24b7de8410f3177f6", "f7bdb849dafe17c952bfd88b879e01f74cf59d78", "b93a71dfa6342fda64ef6cff8b2fe81f728dc642", "195efc2587512a08c86183454241d76c216573a2", "c731a3d8ef9121de7ee6a14dc70e0e774792982c", "3361ddc93a6d9f451c1b94cc488c52fd0bdf5c83", "95201050f70d94185eb7bba8d88fda673a38b275", "78f5817a2ea36e28ed613ac16302a17b19d11e63", "29249bfe8dbbee213f8b56764261f2183fd7e031", "d5b83d6b4a3c1093edc9138ab9dfe4e965a80261", "ecb927634e8a734710a3b3734e1bffccac7b7061", "163dc2bb0ffa32ef011df09c4ef7e3cc4c24ea35", "36b1370ccd2e7f087111deed453c275f47a5e3a9", "dbe2f62c086b2e6617c7744f8c242de401f17cc0", "3f19995932abbee5dacde0c31b78fb182712f610", "d5820ce33563f44f0c3127d46654a2b48aac12cc", "7a97fcd6131d2f90eb6580374eca63956040d954", "22e189a813529a8f43ad76b318207d9a4b6de71a", "ed587213a5092c623bbb7ee6e0c85d67c11b7336", "030308b637b6c902a120c0158ebbcb83877732cb", "48394fa271cd182372c6fb82342d7080554f735c", "1e6278eb2716048165969d294e110e5a8df71e0b", "8e6adaf03ac84acc16e428869b66a5a1e94ed753", "a057ea7d7c980fa53b0e0a87052ba11ad24157af", "51cb2116c5a32d076f54b1a192cf4e850390f665", "c73c11bbc0bb5a8ff94ebaebf7f12560a885b8bb", "1fbf9dddf0bd4c115e2256cbf5d3a3bcc5ad2060", "e2b52c31e04b515c1223b547b9aa73acf0af9456", "15383ae2d86eb8c5e172168f94ef915a7a238b72", "3303f4c5dfe63ac157ac36e45c46a592cce8a7b9", "712a86afe7b479dfe583cda521dd0a14b0182f3f", "87436afcf6e1d602ae4b72845cb27ae84825ef77", "5c976886fcda366d138038f796a1bd9e8e9b5066", "1bf478f79c5daf05b406f7f0d5cdf0508661646c", "05554c8b2b7b50dcc664360d5a0b95f1946ec2b5", "580304860fa244553e10b58ccf9a9ed24a999eff", "f38b7f434ec98ad85b7b6897671aeef6c9079fa4", "c0b5282ab89749fcc2c5890793e7fb7c2ce6f19b", "7b3e725ff30fb9e70482af0873f46c599ac0f675", "e2d969752015f90d50a2e85c19d5b391011bc9a3", "d1e8672193befaf62ad327fb88da0685976746ac", "5e4e55ad902d0749d463187dbd453fd235a1379c", "04741341e26bdcd9ed1de18e5a95c31d7b64fa36", "fb7dd133450e99abd8449ae1941e5ed4cf267eea", "643337c78c920dce1f3f4ee06a88e3db9f0348b1", "f9f72562b135a4c04974c9423dba6b5c6192541f", "88bbbdb657cf23d5d406899168bb028b4999aa70", "a2ea1baa4c74cad680ea42a7f08c4d5804da10d5", "3d0b133bb5a2559d8a60898e90f9780a94b6a0dc", "89ae6715e6e581046074935912ad50e104a6a8c0", "7c739dddc905c967e0b432dc7515cb1f4b82e580", "e3e66ee37d08752dc19c3e3b212f869c8ff19f71", "e11407869aa4ffc24c2fdae5e22f29375639d343", "ced61099a0306d555486162670f1213f2c72b020", "b6c2a7b6e36e2a9f8c9eed7aa40d70d09d2c1706", "5aee2684976acc3aec1f60da5db6b000786eafd9", "3e36e6fbd7b33e37b9b68eab8d50ef49840987ea", "45c70dd300442d636e47ea7bf4af7df44d07ac5d", "e1cb5ff731dfb84ee46d8469c68964b7c4c0f3ea", "67f42733a8d147bc432bc79171a7c976e99374b3", "e532dc46f7a28114fbe03d256e0e28ed30929692", "e6d8218e9859ecb4a0aab781493a2cac19632a63", "816a7a4f8ec926502be5770bd33fc37dc8f078c0", "87e5e86ea70b8cedf68d9f7e36ac29162366318a", "d7ed4db868fa2481c0c7b722df1496095ebfedf5", "4189b500e98c4caf68046a124feef6397bcaa555", "782bec46053aa93ebbbf5d1d27497966b2407848", "9445d51fd7977fb11a34a0e522efdcdee0d5cd95", "0c7874aa162fdd85217d306f32b324832d8f1e35", "0d62885b3e5a5ecc6e9f22a96319f94711f8fdb6", "64e05d69c74c5f3b8ea091f74039330fb96aadc8", "61228ef559e4d73c8c726115f945f5f86d5638fb", "8b2c9743de156189bf927a158f21e08412ff0de0", "405453a0ec8b66ececc9f51bd7a3fbd6e2fb80cf", "6890123baba105254c91adada3665f84017cd864", "b859e1c26cc093530737a60016efa9b97a862444", "c32576bebf4e0ef6e827776c6f880ae7706fbcc2", "9bdc71eacf7440bab8d2852f229da537498c9546", "d610513cb0d35ddd2a91ad428575411519c2ee5e", "b54f15a02d8454333ca7dbca665f7712572b56e0", "417890cc6d43a3082a6ab2ac64527f8db5b0125b", "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "170e9cca569fe8141e88dc21bfbe02bc55090e52", "a6bb8bf77bdb4e65612384321db25708fba695aa", "2942964bc62b3d693b9bf238173fdca6e1f57875", "c18e11d0578dc67e46160afa527e1a9e73b8fa15", "7ab90189c9c66298c900fde3de4c8d77fd035d80", "f56674e6a4d89bf8855499eea0a043fa14fead70", "df670cebee69f10f3f320720b248fbaaa017a4e6", "64c1aa13fecfc1cdd4231e39a40a5f6db91b90f8", "bb08d1570685a20861e9b8c15c57aae9c01d3eac", "c320243eed20d89a9bfe7334e2adf1e6a16322b2", "4bb261e727835aca4ac4b61a6147ab5d84aab709", "8abfda3c1e1599bed454661f15ee0bbe7f6b8c12", "d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe", "267b78d000fbac96f8187f6baa5ec9d9cdc23536", "7198f45e979d4e7bb2ad2f8a5f098ab196c532b6", "e37681d2fb9f65ed14170bb556cf64156f055167", "3df8cc0384814c3fb05c44e494ced947a7d43f36", "67ac49c44b8b80568d0f6b237050167f743451f0", "09fc69a06f4c709846719a06a00a8bce533928d7", "e596753824ed56f17927984f78f51713b321588d", "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "ec4a673cebfd566b22ed98fe6f9dd6c930b83854", "259e4aca87b8724b4c9df2315b976237481a1929", "aa3e3f4f1159e3af45a32eb0b3e206204d201721", "7711bf8f04e897034dceec10561c18b63a9542c0", "01e214009e6c9dc7ee566fde4f089c5ddb739442", "51749a7531bc31eab63153fedbda840f290b9a00", "051bc84485f0d9be02003e27e0ca67e9a06f2e4d", "fa95ce52d821499547a68048d35f35a0dd171a25", "4e8f65a536516410bf52dfb64a53da3608ded090", "c722c3afd37649f1f4c5ac9029c18206c7378ed1", "9564b36faecb356a56ce4a3545722a94daccd4cd", "37bed9d4fec61263e109402b46136272bcd8c5ce", "a37ff20bff5215b36317e7a2b52833b061d4e7cd", "3e93e41ccd22596ca478f336727f6340b12e7572", "0a5bcd1c9e88ec6b2fcf4699a8a0a93547bd07b2", "fd6dc84da8c4512e208f355a2752743659fbe43f", "a2b78155f74ba697b76f83aa3cf2d4935434628d", "5cdf477723fde8a738e3cfc0cf367502f68b950b", "ca228b42de0f0311f4826292a2996d3348ca43fe", "30f464c09779c6210397204901d025c0def1fe10", "426c39358d592be673b72d26dad4560b06ec5d89", "50a353f67a64420370517e12d67bf79247ce077a", "45b9424e1b719d05c1ea08d3a1105e8d32ba94e7", "e05f4e761aded7f9feefafc802bbd28b15a4690d", "0f7ca11acc495f1a45fb2add4cee94d445d8d96f", "8acb55a72c4d6eae528a99e571b4a24d51f57fe6", "7f9832031d61c46f051dad9a0d421338888b6b00", "7cf72500ace743d360af90a3f6d8c6ced984bf75", "580f86f1ace1feed16b592d05c2b07f26c429b4b", "198005301f7e3e3f9ddf5d4c1a403271b222702d", "9c5cbbdaa76e10106c4ea12a17826bec88e5efc3", "620339aef06aed07a78f9ed1a057a25433faa58b", "6dbe18855b85bc6f218c53993cf289e2607518b1", "343acba1d609c1e6f274e3b6733c9173b5a46342", "bbc8254b170918d619574496c138dac101dee61f", "c0162b2a42c5f5e350648e600e9709afbef816f0", "1debc9cd258a8c66045f01bbb50b6c9d15883256", "96086909b0b89894aa5423f19d15d5843b95ca87", "c0d79e6077c47d6289ab89054f2b51653d887958", "5808f5285bc60a73bc240621ad0fce606867ebc1", "ea2c44e4792c0d35af737f46a2dc2b78e6dedc8d", "fb198416cdd5e1e3d1ae407c1bf7b462de996dbb", "343d21ae54b45ef219ac4ba024265eeabf4d6edd", "6438a73bade949bd2858ec0e25de52b59be1fdb9", "e020b5a55f73ba41d780be572e771ea6da0f788e", "82087a02da7505ddec4e78f864989188ed20ef8b", "186a637947086efff24e307317c0569288871ee6", "4afd04db8eeb6a4cacb616b0dd193819bad8c2b6", "dc47f73f02ab6b84acf8b0c25d8c1f62e148efca", "bef7d5d2c5951ae9ae85fcec4a7eaf5dfd8196c9", "6fc1e886659838b2ca08dbaca291420785fd51bd", "8c6db488bebf3fb2c50d951c4a9f002a531f9b61", "39af7f265dc9d647d97d94a1d0c12fa36f9f79e9", "a87ab836771164adb95d6744027e62e05f47fd96", "0779875eff440365184dd8bf44e9f85f78267c5f", "f3161b75de1e37b0591f250068b676ea72d1ba22", "cbfb8a1592c30a8cc765ceeef2c64c7280435f84", "734fb6d51d65207c524b211557277be1b0c8fbfb", "8f4a8ba4046acc9a69583b53e1bdaa579e62c42b", "ccf7d46c143e0fe7687140f96f65b96fb38d2403", "305c4d91b0f70853a1cb0ed2a60a466b84e5c13d", "578d4ad74818086bb64f182f72e2c8bd31e3d426", "3423f3dcb0edee1c5c6a5505b9e8c0bbdcffbd51", "e260847323b48a79bd88dd95a1499cd3053d3645", "3c439abbda16518c3dccfc70051a2c36b7fb1501", "2d8eff4b085b57788e2f4485c81eb80910f94da0", "725597072c76dad5caa92b7baa6e1c761addc300", "44d3b56b02375aac30b26e896f4e78c9f5c177cf", "4d2022e3db712237b95fe381a75dbeb827551924", "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725", "3ebbacf0bfe95781e70ee37085bb2addf30a40a7", "9a8842c5c625e55e794ee90e36b2d4bea16dcee6", "3597ca03bded3717f5c88273e4b7dbf24545ff83", "a0f4ce26c8cec8d00e0250388f448570ac7dfc2e", "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "56d3df5ce2ffb695728c091252087979be31f0c7", "80c8f118f37f990905205eee4f3b3811e0488bf9", "21bc819e9d6c5d5c545b50addaab6f54f719a05d", "306ae56a4fc8f090e58a237749950e1607382ed7", "7234468db46b37e2027ab2978c67b48b8581f796", "a9426cb98c8aedf79ea19839643a7cf1e435aeaa", "b4ee6b62f6a89feede06da5fb7e5ad6ec0265175", "0ba544ff0d837ba5279b03eb91246d00f2c78817", "02ddda27cef81c363ffffc4edfdfbd1dea14149e", "60593c176ba39e8cb63ba6a7bf936553984bb67c", "57fe081950f21ca03b5b375ae3e84b399c015861", "4d3335465f818e065ffc70db58db43d07b9d265c", "fb9ff8e4240c9bbcf5ff110f554e29aef54d60ff", "d18e2ccc4f1413870a760a11e7a4fac19aed5553", "72a155c987816ae81c858fddbd6beab656d86220", "2e469c6e86d8f9827d8e665db3b343fefb0451d5", "efc7a620e21abbc882d5a26f0e7a78ae6960be20", "4b970ce5297312ce8869745d3aabdd3001dc47ef", "bbc76f0e50ab96e7318816e24c65fd3459d0497c", "1f4fff64adef5ec6ae21e8647d5a042bf71d64d9", "1dc35905a1deff8bc74688f2d7e2f48fd2273275", "89a245eae1e7eda7aa8e360c0cdb4bf6a72da225", "3274a13562029f36e2f0fad3270e3ecb9ca013bd", "b1bd2e80fac0b3629f46a3e7fd403e82688fc733", "a317cd9435900b9d47217f2896d55fc2c49c8b6b", "2a12c72b0328a23b0d7ea63db1f93abf3054beec", "4814c849a1c441d05f33c7089364086de88d3f52", "17e0d8f9cc53f2c711d73eb7af33f59302a1ce85", "0a20e2fbe52efdb794b7566ce5233c41f4c5efc9", "d3e9c5a63215a9c46bc61ec04df5285ac355e42c", "7673d5fa77770629d040fae54c214c60ba69574c", "776b77306bdb852c89a22ba142fb57c8e8bb7bb5", "9c641dd3ec81b1976ee6ad4c76eb1f9a6d5eb882", "79c7a3fd16c575f68de835efdc5e25e9fcc7d438", "13f07d51c073964d11f9af6463fe3ffe5475c393", "62d1f420eb14c11a6df613994b3cf15f9db05ca0", "16d38a5af0f60603c5edbdc32885146f6df5e0ba", "fe7849b48c0b70118030ba0da9e39b1b190f9077", "012e281061126caf2e2c94ca6ba0116c8a8930fb", "5fdf4a86a8991c32306379c809967d27d4cd18f9", "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "8a323bfe03d72f288b0fea8ebc419b4214792058", "1157f18bc9019e5639bc70f501165c7c1cd21a31", "a0a41d30cd7eed54c714d9088319c86220e0f30a", "1d351a4a61d55c982061195f46bc93fbc390fdc4", "d8d1fb804d1f4760393c6fd70c9072fa1b39f02c", "aa261599d70a9e649501cae5cf46fbc56229fad8", "05e6ef04116fb096e590d73d6938e4fed6426263", "4a8b21da621a33b805906140b08c699a09ef06a9", "5bc5cfc2622f6b0a0003d7b115726d075205a2cc", "d9dafc343727db2b6060c868d748f97eff6bac7d", "7c61692a8cd885a36e8c93114a81417182e0a111", "ce60c28cce422e1b8fec262eb2eb1b72b78c3e47", "1f913bcfcdce870bbaa9ffedf179478d1fd44522", "7d2897162f727b02debbe5a3648c63f9ef3efcc8", "0ffee18b495830d373dbc65f67a452d94938900b", "922e0a51a3b8c67c4c6ac09a577ff674cbd28b34", "4ba1cf65eb86aba729192d2f0fe2cd064ac346cf", "e1924a925cfcc3db29f8006b8eed83aad9721a24", "e028bef776114add5e323a6353c57c8c5a8fdfad", "d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae", "58ecbe5e7d10b4176ceaecc36ae05e15908289c2", "09f853ce12f7361c4b50c494df7ce3b9fad1d221", "e7697c7b626ba3a426106d83f4c3a052fcde02a4", "26f5b8a79fac681ffb132c4863c51a55bc2b20e2", "0629bc2b12245195af989e21573369329b7ef2b7", "3f008ef45af7edd6473d164e3da2a8baa6f37ff0", "2ea19a1b18e29d9fd5bec1ff5e123d181c607bbe", "d50751da2997e7ebc89244c88a4d0d18405e8507", "f83fb981044c707e3695f68999347a0a7ec5000f", "7ab41d2fb37079d20db5e25fd6e71755673f82f0", "8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09", "432d5eca44ff558642491f3bb7f44f500993fd38", "016194dbcd538ab5a129ef1bcff3c6e073db63f9", "b6052dc718c72f2506cfd9d29422642ecf3992ef", "9b6d61491120bdd579f53e8c5f7cbe1e05cbc91e", "5a6b2f3a542322be153fc9104f3064f2a1bc76eb", "98fad0d5c3ebdab54732b49cad3d8b3a3a55d9e6", "cefd107b19201cd9f403e2f9332c690e81f770b5", "b36a80d15c3e48870ea6118b855055cc34307658", "09749e7b0ae6bd9ab37671fcc4f0e7a7bcf9ff2e", "fff11f4dc03cc0c84bf9094e24f4b2adf8a5205c", "6097c33a382c62a44379926ee96b23b51dba49c4", "861802ac19653a7831b314cd751fd8e89494ab12", "982db27f0a092d5c8db88e959a77fae5b4f9cdf6", "d82681348489f4f04690e65b9ffe21b68c89b5ff", "b91f54e1581fbbf60392364323d00a0cd43e493c", "c8f216dbd43dda14783677f44bb336c92211cd46", "a3add3268c26876eb76decdf5d7dd78a0d5cf304", "24078db5422dfddf14b00fa79c38efa553845a10", "261a7be6c650de797c7490aeeefba98662acaa20", "846372d7181279e93860d54ae3b665ae0ef19d08", "c32fb755856c21a238857b77d7548f18e05f482d", "f7c9bafc66dc8d8002cbb2ea926378bce2b3b251", "1d6faea849d6d05bb74f84622302976a2305a17f", "37acfccfa44747f956e4c0c56aa7ed5cd5ecdb85", "220b66f1d7d33c3d6439133c211810d7cd642354", "4aa27c1f8118dbb39809a0f79a28c0cbc3ede276", "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "9aa8daa04347f904e277b633dd70feae12cd7c42", "5ef98034e3b662c6bc0dc8f4e863b0ff72b6e9d4", "ed2f711cf9bcd9d7ab039d746af109ed9573421a", "a6ac6463b5c89ac9eb013c978f213b309cc6a5c7", "06444375d9a0c44c9eb2d697c6b8a7d2a8aef430", "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "aaf4d938f2e66d158d5e635a9c1d279cdc7639c0", "91f67f69597a52b905c748a15db427c61f352073", "5ec89f73a8d1e817ebf654f91318d28c9cfebead", "74dbcc09a3456ddacf5cece640b84045ebdf6be1", "e84e49c9530897fad7927a06ac4a48ddaf0adf0f", "dedc7b080b8e13d72f8dc33e248e7637d191fdbf", "1f3370e2e6381408efe11e69ab12586bd6f74dc8", "18c57ddc9c0164ee792661f43a5578f7a00d0330", "ae9ab89c51d264fb7b6b57d37399a7c629836e35", "a825680aeb853fc34c65b5844c4c4391148f18c3", "3907d83f14ba9e2b8a93c3f02b04ca0b81901c4b", "8f712a92c63856d700a1573d8b911d8cec700451", "f249c266321d661ae398c26ddb8c7409f6455ba1", "73f56d17e91e54c9e4bc86477d01399f07792f79", "f53ac4a7f9dc5b641fed6a48187e12fc9cac7a87", "7fa5ede4a34dbe604ce317d529eed78db6642bc0", "7e6aace92f8caaee4fbce488fc35f03baf30ff1b", "64e471bc1bf422bd760a39203647dd6b3e83c1da", "13fad0ab765c8f92c2c7ff05eecbb164a3e0e56d", "394bf41cd8578ec10cd34452c688c3e3de1c16a7", "1fd8476926a2b583657661e3a9deeb93033c2c85", "a20ba0057067a3a4cf662c0c5e1119a173d090ae", "600ef88c6cf44b05e3812d468e34f51cc62529d3", "ea9cecb5b619cfa4afef6c70e193c2303696a4f9", "b7c4b22d44be82b2e1074c5c40b76461db4b0292", "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "b4b1b39f8902208bbd37febfb68e08809098036d", "e3498ea2ece32753fe714bcd5186d457a6bbd1f9", "2453dd38cde21f3248b55d281405f11d58168fa9", "ccb9ffa26b28dffc4f7d613821d1a9f0d60ea3f4", "462e4d0b35bf571bfc35dcd8e9bd589dca07a464", "3df5e17e87144b1e84b5ab9467bc2c2f233b66c7", "d38af10096aa90dfccd7e4cec9757900bf6958bd", "e22979cdf147a63be74f3816ef59ef11f3508919", "5a14209a5241877f92743d04282598f41fd3e50f", "93e3aaa3bf274cb6769002fda32f61acc46f3e8b", "c5318c79bc1b880e8356211b837b684f1ee6e5c4", "8c1e828a4826a1fb3eb47ee432f5333b974fa141", "a8eeace37181dd87d5125c213add6e15fdd9d9f7", "36b2aa7248152fdad7bc7f670d0b577c9728d466", "0790c400bfe6fbefe88ef7791476e1abf1952089", "442cf9b24661c9ea5c2a1dcabd4a5b8af1cd89da", "56d9e2856e4edac2677672053c4ab767a2265465", "4bfce93a0d431e9f9c908bdf467f8b58fbb719f1", "04eda7eee3e0282de50e54554f50870dd17defa1", "622078fc9a773f37e61c8e5523b99ead27bb46d0", "00319cd17cebae5e1095a248260bd7be15781362", "622949b1aacd316c60a7034c44121c698a3fb6a4", "90a4125974564a5ab6c2ce2ff685fc36e9cf0680", "c3dd6c1ddbb9cfcc1bed6383ffaa0b1ce4d13625", "b786a16ca5d84257bb98024751429c9f42005e62", "f0a0f341fa1f91ee58a5020297bea02f8863cb26", "30aac3becead355545b5ab7f0c3158040360021e", "6fbe1d6815d7ac427f9ca528960f07bc8bf34a37", "f1a05136c8b8f9334a4b3d9de2a4b192d2c762c2", "81d0815a09b6c73ddb68c96efbdaf3f92968eb1f", "a80fdcb8c837fe7a516de7397373f4c4d6de2884", "25e9a2ec45c34d4610359196dc505a72c3833336", "935e639bebf905af2e35e8b1e7aa0538d7122185", "7f26671b68b5491e553ab191e85abc1bef43e90b", "211435a4e14d00f4aaed191acfb548185ee800b9", "087a6baef9d81178f2f8f001aa9be4c0d4ed7733", "4c477ba5513ec9c629ca3442c1fee15612259905", "229e105fd4d34815e476702dd5ca4362943c475d", "330dc3d87dc80dfc9fd5292cbe3c644d24c000fe", "9fae24003bbedecdb617f9779215d79d06b90dd8", "dbf6a25d10a312b38b862fd88f6cec9ed71400dc", "7820021d8a3eace969cea5f4865c5aeef4673596", "0c1d746b8e0218feb8ecac1b0b4bde16c67dffaa", "c45681fa9d9c36a6a196017ef283ac38904f91bb", "45f858f9e8d7713f60f52618e54089ba68dfcd6d", "52a86eccad4ae8b15b4585d1691845bf2b8707d0", "157ee7498320119f6f5da2d9c592448986edea7e", "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "56662bb8a29e7d0064a35fb38cbabaef4578f3e0", "57bd01c042a5f64659b3a9f91c048b8594f762f6", "5cff58d081a4732b11e6da498196ed6fbb54d15b", "9716416a15e79a36e3481bcdad79cdc905603e6d", "97265d64859e06900c11ae5bb5f03f3bd265f858", "264a344e4d65cbc14d52f0c875f4534217c37bdd", "a19904e76b5ded44e6aeb9af85997d160de6bb22", "473f05ce910e7f20266880eb580d3a3aa877a98e", "0969aa7d4557699b7460e4159658828efafed8bd", "96a9ca7a8366ae0efe6b58a515d15b44776faf6e", "300ce2d1ff744fea95fda05d2f3d48766c283042", "baf2607f15aab164289e1d4b4097813a65cd118e", "d0e20aa3d61b77d17f005a1d24d7cf47600836ef", "f0dd265dfbe9ffe86ca56ba053335626720059a3", "513b8dc73a9fbc467e1ac130fe8c842b5839ca51", "7882c67f555b761e10ecc70216db25382890d9d7", "0ee3aa2a78f9680bb65a823bd9195c879572ec1c", "cac3bf3ceba79e6a6c8e51eb44c6862b81661f85", "a776acc53591c3eb0b53501d9758d984e2e52a97", "10773e5c1bc8a9a901a8baf4d0b891397975ea9d", "47488b5e84c60a32f59a253750d06bcb8f6f7f63", "a6a42e06c9501052ffbaa1fda4ad5552da6c76b6", "bf7cdcda49853bca3d91255de1a82a1fb066ac12", "5b94093939ac42aba54ab41eb1725aeba1bd5c34", "f0b77702c8f2249ee1f48e51ff9b86faffe177c9", "c0a0adb7f02d5509969e6107c914f7cc6e9ec881", "00f8387fdeb6f009ffdc9bef6a94b37294d77633", "41a5e043d499967f405e823b959e2ac4fdf9ff71", "423b941641728a21e37f41359a691815cdd84ceb", "833bdee366f1e6250dea59bdebdcad271c7cfddd", "9cf69de9e06e39f7f7ce643b3327bf69be8b9678", "b300c37a6132446590cd88ce4dc24e47945e9a23", "1fbb66a9407470e1da332c4ef69cdc34e169a3d7", "666939690c564641b864eed0d60a410b31e49f80", "54fbdd6f2f916db9a518f1a2e0b5d235931f47a8", "96ece788e0db984a27a11a9a10b6430f6f7299c5", "0306a275e80d11d65c4261b8f3d45317a49c1bf7", "2bd94a9140be6fe58e5431b03a45502b31fe6cda", "0089a590154694e0de340f357a022f6a38d60946", "51e8e8c4cac8260ef21c25f9f2a0a68aedbc6d58", "3b01a839d174dad6f2635cff7ebe7e1aaad701a4", "cc246025ec8e1d32ecfbeefaba0727fdf73cd9cb", "d467035d83fb4e86c4a47b2ca87894388deb8c44", "264a2b946fae4af23c646cc08fc56947b5be82cf", "04bd29ec1ae0b64367ec37ddde51a0d8f8b7f670", "480888bad59b314236f2d947ebf308ae146c98e4", "802f6a704b93291aa049e80c16af7d2bce7dd92c", "a1ee55d529e04a80f4eae3b30d0961a985a64fa4", "3e9219fdcbc17772041456cf8dbfd361a82cbdd4", "867f1a262a704ef4cabe84899310370182dd598f", "0cd736baf31dceea1cc39ac72e00b65587f5fb9e", "f727837e03a039d9bcec6d02cd87256f5a5854a4", "df90c50792971b4debfe8d1db5604337bf9181e3", "4fb569af589d89f11d84d4b828459231345cc301", "9fd864442f18a8b739efa0534998b2afdd6f08e8", "b8452417df1047ebace6fb1368b4b91be79b8cc6", "a2db611b6179f3bc4cfe0e891df7b9d4ab58d642", "a8c6954ae821f846cedc50a86e2095a20ef454c8", "8e0091f7360b7c1cf07dbd88ca13bc83a5b6a6d7", "6634318fa67bb8866d2579760c7b5763d0ee46a3", "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "87ab2e74e2ab93de0316f09d76e7573052628989", "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "6424574cb92b316928c37232869bfadcb5b4c20f", "51eba481dac6b229a7490f650dff7b17ce05df73", "0c05f60998628884a9ac60116453f1a91bcd9dda", "d12c343e60f9cc1a0c6c94c138f38e6bffe22001", "c3d60c8b1dff411982ccd8875496f1e74d2cefc4", "f825f784733c764128ddd1c620b0b0884941e2b6", "efa2aacb0fbee857015fad1dba72767f56be6f39", "fdc39dbf35b1cac8d99434140b8e5341d3f1e38b", "f1dd778af01de993ba47858cdb6305c64f91288a", "17113b0f647ce05b2e50d1d40c856370f94da7de", "8031b81338c05d5fe4e2e5f8820d185b32734fb6", "e2cfd82831bde290f6016a3e9a576e8a79a2cac5", "1193317829bfcc9b9dffa5ae85a2e2114254b37e", "c1e714a9ec329629798a88ebff8657c349fec739", "62d1b32d67e4a4b58a66cba91629aae5f7968962", "549d55a06c5402696e063ce36b411f341a64f8a9", "5663d02a09dc2f53b826849ac96f235c82586af2", "558719ec858120908ef40b27a5d32904a68f6dd9", "44bfa5311f0921664e9036f63cadd71049a35f35", "133f1f2679892d408420d8092283539010723359", "98d04187f091f402a90a6a9a2108393ca5f91563", "d03ae9148a2573bcf959c7fa343cef0be416cb55", "b0d52bb1c9cff9416fe766e9cba94ceeab12d51f", "0fbf59328d32e1a9950dfa08c3ec87eb94398651", "af740db182b541eef80bb0a2dfebd1f07bb0e316", "7128f1239cbd1007ef19d8fd8cdab083d33a6984", "9b4e90866c1f096a57383fb7320ac9d516a2f88d", "a3bb0ec5c4380141828b9619ad92c6ecd42a09be", "6feb0d42232c31eecee5d90290287afe803e88a5", "ea638559b6dd6b5520f9abe2674b92c07873a157", "e92855e7f939c0b43bb4e14e932b6ed4e9312259", "300b8caf79783a7eba5608b5819b6fed14273d2d", "f8015e31d1421f6aee5e17fc3907070b8e0a5e59", "ab26528c5c414156c7668592cbb04268d2aefc52", "6b9e8acef979c13fa9ecc8fe9b635b312fedbcbe", "27d9d09126c1f2138f6aa719c4937da0bf8a8b87", "747b15ecd9a9e28bbd733527c59e5dd0aa5de7a1", "6e4a1850bcb2b76d8e08ecf1d80d15722aaf6fe8", "f7091323c825553e1c5bae6969516fd3bf9c0617", "72fd97d21d6465d4bb407b6f8f3accd4419a2fb4", "899ff288be86ac85133c73cdca3ea20639934e6d", "62b83bf64f200ebb9fa16dfb7108b85e390b2207", "384b21d51dd466517f5ced3a59b997ddea10aa42", "d4700db5a8290ad8e501c2d6d93432dcb833092e", "2577211aeaaa1f2245ddc379564813bee3d46c06", "d805574910996579177625fb1dacacab17f70cd7", "15ea40bb1025212c231fd12a6d7edebb260b805f", "d73221adda13a99e8dd8dab101abcfeae6b7b706", "035c606bc6a05e2018e57859737877043673b7b9", "3900fb44902396f94fb070be41199b4beecc9081", "06a23ffbd9752ce204197df59812b2ebd1a097ff", "e7b5c98310a04923c2c75b38d0b6ab97d2a15178", "32c45df9e11e6751bcea1b928f398f6c134d22c6", "2a1b247b31d0b4baa5438ac502615152426165f7", "56e65fae871aca5f7977ed0c33f153efe67707d8", "a62d352db6efa30b66bff378b0c27792ed37d8fa", "1abf6491d1b0f6e8af137869a01843931996a562", "2bcd59835528c583bb5b310522a5ba6e99c58b15", "be313072e9706df300d86bfac54079acfb9c1ef0", "3920a205990abc7883c70cc96a0410a2d056c2a8", "2725a68be6bc677bd435c19664569ecd45c52d7a", "b6810adcfd507b2e019ebc8afe4f44f953faf946", "1f98daf89f9a3dba655f0a4eb4164118ea6226ef", "683874b070da69ce358ed5dd673ebe3e42fc2137", "0e08cf0b19f0600dadce0f6694420d643ea9828b", "81bf7a4b8b3c21d42cb82f946f762c94031e11b8", "8096d92af2b3fdf6c43769d5aca9082a7958a07d", "2da694d7f494265a8193f17dfc492c577ad4db1e", "f18c34458460b9b62b51213b9165b37c057c5837", "991673d4f9dd08893723549ff3ea866b2dc18047", "30d8fbb9345cdf1096635af7d39a9b04af9b72f9", "71d8fae870ea78a89e231247afb3259267e09799", "8a83c15c7e4bdbb7924ac521d7f260d24ded442a", "a6574d111bfb12d6a9988bdbbf24639d3c4534ec", "ffc8f9fe66a14aa0657e59e219364b5a852ecb8f", "f56edb6f2bf4f5bc9d54284289212b8d4a437c1b", "87204e4e1a96b8f59cb91828199dacd192292231", "07e8420c5528e8d0152424a124ddb92380e32329", "e903fc4e9636d5e5635b6970b2520b920e919a68", "30a4637cbc461838c151073b265fb08e00492ff4", "606cfdcc43203351dbb944a3bb3719695e557e37", "0b1c1c32b7ab78106590bf76fd4261aa6ce25599", "996dc200dd686c39e235aec78f7c6acd903a970f", "3de3c479164312ab3a1795ee84f20c16632c04c4", "b14b672e09b5b2d984295dfafb05604492bfaec5", "30ccfd2b4b6d5b30581356ccefcf96fd77c1766a", "e108d0bfe686438e4c5ae4cb9b8ddc476deba9e3", "47b6cd69c0746688f6e17b37d73fa12422826dbc", "bd36544bfecd5b9ea58d0eab186968b3c9d181aa", "67490b6f34c827f107b046adeef0f5476132d4f8", "be668bb10ab47b7b09590ad4c310e13ad70e84f9", "319955a10dcddd6e97d160132141feee54de358b", "14421119527aa5882e1552a651fbd2d73bc94637", "3410a1489d04ec6fcfbb3d76d39055117931ccf0", "69b647afe6526256a93033eac14ce470204e7bae", "81825711c2aaa1b9d3ead1a300e71c4353a41382", "2788dd3b087351ceb891f7497d64b438e8e5f808", "2ce073da76e6ed87eda2da08da0e00f4f060f1a6", "e286f4fb60fd819dd36db44d0f56dc76932aaee4", "a0107238471816ac3b8fec32bb8499c082338593", "c4b6bff9c8d00944ed2cbbfec8c37810a9f47b76", "2313c827d3cb9a291b6a00d015c29580862bbdcc", "839a2155995acc0a053a326e283be12068b35cb8", "f10727c4827118a147f1301d2fd5e206aedfeae7", "a65c76169bdb8479353806556f61bf94fdec7e10", "4599b9d9a379385a3d31681696d2523beeb0e9c1", "106732a010b1baf13c61d0994552aee8336f8c85", "5056186a5001921d0a24587e26167a7ee9d88cf9", "634e02d6107529d672cbbdf5b97990966e289829", "28e9ae07540e3709e7a3a6242f636f893ba557e6", "2084902f20c3c3dd58ca063a2ec0d63e715e660c", "96e5e6ebebc0afab75983d444402893d1a467a16", "d0137881f6c791997337b9cc7f1efbd61977270d", "bb8218a0fa421320421549ec13969834636e4d47", "ed173a39f4cd980eef319116b6ba39cec1b37c42", "84cf838be40e2ab05732fbefbb93ccb2afb0cb48", "b082f440ee91e2751701401919584203b37e1e1a", "801593e5de666e4d93d0a40e8b563907191c7ff8", "6008213e4270e88cb414459de759c961469b92dd", "0fd7e70003c366cb93be06b5a3f250f798b939f3", "f2b95f135b95c3df4f6ebe6015098a2e1667711d", "250c0c37947d6dc32e1923c8df99bf64dc5d7e10", "28f9cf85ebbff86207e1f6067880bb23daff0878", "7f15f56d7c0a17d9c81ca21029e7fd133b2b9347", "0c17d8370ad804635591a258e6ea1ae802fb5902", "90b4470032f2796a347a0080bcd833c2db0e8bf0", "a6d2e304b2270b679855b87cd467ad572c9d2974", "0adaaeaa04e8d1901c886bced6ee4a0fbbf9fb4c", "beecaf2d6e9d102b6b2459ea38e15179a4b55ffd", "7cda4fc187f446a52cc5c9ac0e6a0752c1f0d5e9", "0fb8317a8bf5feaf297af8e9b94c50c5ed0e8277", "75777920d6b05794639c0029052f20f932aec9f3", "623092852405f452994b7067b963cd918b909566", "17d22b7289d1bd22f6ccbe33ff50ed1ca270a690", "896de2bc83ef4a2ffee582a91898ea29617222a5", "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "d4901683e2c2552fc2d62d4eb3b1f5d5fa60a5ff", "943c372336ced4b28e15e02fe8db1f4b23bf6835", "0e0179eb4b43016691f0f1473a08089dda21f8f0", "135c957f6a80f250507c7707479e584c288f430f", "d4ca67160781e5c74b0385c3d45f35dcc0f79b8a", "a7e8ce268c16ea8c10e4c5ccd8d6e53702423faa", "c588c89a72f89eed29d42f34bfa5d4cffa530732", "c72b063e23b8b45b57a42ebc2f9714297c539a6f", "21ff1d20dd7b3e6b1ea02036c0176d200ec5626d", "339b6e6b358b40db5807ae9701556fed9b7961c4", "3c68763caa67dee55bca76f0f71dd4530f3fd57c", "78a144d5dce1a61c92420e77c11116f541a7617f", "20c59a55795eaa4f2629cc83fb556dc8c5bcfc1f", "774f67303ea4a3a94874f08cf9a9dacc69b40782", "061ffd3967540424ac4e4066f4a605d8318bab90", "a49b309ba14ad00a3bcb7b99a45d5bcf9bbc0ab1", "8ac2736683dac9a467602ee19f5a290096259148", "86e1bdbfd13b9ed137e4c4b8b459a3980eb257f6", "43b7bdfcbf061a51a5c4cf55172ffd1191ea9665", "93c14fa9778fc98fe1e078131179d3402c7d1d0c", "1a2e9a56e5f71bf95a2f68b6e67e2aaa1c6bf91e", "8fd1910454feb9a28741992b87a271381edd1af8", "c6f58adf4a5ee8499cbc9b9bc1e6f1c39f1f8eae", "016473c5b809ff55304a2923c36eaf58f02f02e4", "fff12919cf912347776b70aa76af7635280dc401", "3c8db2ca155ce4e15ec8a2c4c4b979de654fb296", "8ccd6aaf1ee4b66c13fffbf560e3920f9bdf5f10", "559b95b135a842f8946f62067de7e0c523870d2a", "802ecaabffbece0dc2c31d44b693967c683fc5ff", "b5c94166b3ceb7166e89abe1e951556690b87310", "3f06d445371c252d5a6ba977181987094148d6de", "b4f5cf797a1c857f32e5740d53d9990bc925af2b", "159b52158512481df7684c341401efbdbc5d8f02", "333aa36e80f1a7fa29cf069d81d4d2e12679bc67", "3bad18554678ab46bbbf9de41d36423bc8083c83", "08f46d6a91e513edd57a0ef15d5367b5d0545c1b", "db58b4a053c2bb1f7681fd479e8dcdbff42cc6cd", "07191c2047b5b643dd72a0583c1d537ba59f977a", "ae6e8851dfd9c97e37e1cbd61b21cc54d5e2b9c7", "9d2ad0b408bddc9c5a713e250b52aa48f1786a46", "df33c32673a050ad9fd84d55efb48214e1a9358e", "5375a3344017d9502ebb4170325435de3da1fa16", "769f0c9975236e46151ffec1724c23508c38f6c3", "6d973fb5f682c491be94aa40a184a1707a8dc24a", "cd3b9597c7f182e31b9943bc67a1a918ff0012aa", "ea5a020e64107c75f2f723967af5ad3b97fb2ec3", "63b89e654124eb2b8edeeb82c6373bdcf228744e", "79828e6e9f137a583082b8b5a9dfce0c301989b8", "41308edf82ae645923efea2d6979d076b975ee25", "fdfd57d4721174eba288e501c0c120ad076cdca8", "2771e262e54948ad2c35a80caabc7af181521d39", "4f7e4b1b74955b54c434bdf76c47fb1e96db74e0", "ec83c63e28ae2a658bc76a6750e078c3a54b9760", "b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b", "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "668d2afb63f27feba389ab9d16e682ea13934337", "0b92f5734ffd7d9ff1dd0f3639e92ed18fda7824", "676600ed722d4739d669715c16a1ed2fc117b3d4", "a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000", "5990c2e78394388e8a81a4b52baf35c13b22d2c9", "b66a93884f80a243f50da97e33211693a317dc45", "9528e2e8c20517ab916f803c0371abb4f0ed488b", "0a59337568cbf74e7371fb543f7ca34bbc2153ac", "06774cc8b0ab364866beaf3efda1b2d012a7bcf9", "c60746fb99a02536c2aa3dc866a260ca97ae59f8", "e2272f50ffa33b8e41509e4b795ad5a4eb27bb46", "e5604c3f61eb7e8b80bf423f7828d8c1fa0f1d32", "b8d61dc56a4112e0317c6a7323417ee649476148", "006a9f68bcf6edca62d8750af55168971cf0890c", "5740a5f9cbfe790afc0ba9a425cfb71197927470", "28af8e1a3cb3a158f8a642c8493fcfb207743d0a", "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "6c803cd67f2ceeb11882b322abd386ac8a61ce25", "f1f3ecbcd46fb5ac2731ca118b61a4e3c9a429ea", "cf2a313b039b8adfee2a14ca5e81f2f5da52b0f2", "efe88ca3b72085ed90f8ebcd6c30f9397316ead6", "e4ada3966980ac76b0173ff9a0c407759647f2fa", "b47204251cdf97e1e78d0de99732e3d78288ea2d", "db0a4af734dab1854c2e8dfe499fe0e353226e45", "003afe78ec7989371f648fd8957a6ce79083cf11", "ffe0f43206169deef3a2bf64cec90fe35bb1a8e5", "8f9fa03690428cde478f1a27d4773f78d857b88f", "93ed1c9274906f1916d58cd618a9a82858448a3f", "05a22ebec697cfa5e8e2883d68e6f4762bbdebd7", "66660f5e8b2a4a695abe0f9e1df32d230126f773", "ba7892fc2f7bb5851cff243257da0da0f2d5bc05", "479eb6579194d4d944671dfe5e90b122ca4b58fd", "2a86bcdfb1d817ddb76ba202319f8267a36c0f62", "1ef46f7bb7463ead4369a796435106da63578733", "0bc82ec532228427a497ac47391d524e3b4537ae", "cb45511e4089fb8aff17b0adb6a3f386046a0a6e", "d289ce63055c10937e5715e940a4bb9d0af7a8c5", "fce5bc434a909d6d480fda7cb04cac3d278f8eeb", "cba3fda21e073df8e97920ebefa63712b9796c89", "b4f517f2f229a5f9d8b64bf7572c515c6ed414bd", "2892ca4979521e2d2aab24e33ac571e16ff030c4", "2b4b0795358d0264f846e8b3c19ec3180da301cc", "65edab091e437d3b9d093dcb8be7c5dc4ce0fe0f", "eb71c9267cbf93823b06b379f0041fd5d63703fe", "276d35fef150f61adf53270eb6e50625022d4e7f", "16d658ed2ff10ff4c729479962c5989116adece1", "061bba574c7c2ef0ba9de91afc4fcab70feddd4f", "8262facae51097b3004f492d6de456286a2a58a2", "407a26fff7fac195b74de9fcb556005e8785a4e9", "c4d3033356066ef8133f03f4060bb8cad842918f", "c798f01248311387efb1d9dc67c737d61950145b", "227a312324edd41892eb2c1dbc4bf8d94984a326", "aeee98c90799cd44dde4046754cff27c8ed28d44", "53f0d493c64c908c479f28b4b0cc38aa2124697d", "ee2217f9d22d6a18aaf97f05768035c38305d1fa", "ff3354d042fc3f9f7cfec5e6bc0dc91a8b55818f", "dae70eb5e393c0f05fa7b75d5ad48070743f622f", "da44881db32c132eb9cdef524618e3c8ed340b47", "76808ece9a138a8df2a28962bf1563208dbde6a3", "050a149051a5d268fcc5539e8b654c2240070c82", "09222c50d8ffcc74bbb7462400bd021772850bba", "add020816e4eea7ec547d0c3233b15abf3413fd2", "d6d6edce271935feec96484d0e1f16dcc24973fd", "cc94b423c298003f0f164e63e63177d443291a77", "035ef7b25991b0f7ea841a2270ed053198aab09e", "be213d0e9e7c41c0783f3efa2fddb07d0efebcb4", "83a811fd947415df2413d15386dbc558f07595cb", "35035f79256a3f19a111fff34df6d14876d83fab", "675b2caee111cb6aa7404b4d6aa371314bf0e647", "b336f946d34cb427452517f503ada4bbe0181d3c", "765b2cb322646c52e20417c3b44b81f89860ff71", "a51d5c2f8db48a42446cc4f1718c75ac9303cb7a", "3a5f5aca6138abcf22ede1af5572e01eb0f761d1", "ce300b006f42c1b64ca0e53d1cf28d11a98ece8f", "065b4890957866a831ccf35694056dcec6f48acc", "2e32b8a7f86a0e9b3d185411c166cfe0c067a0eb", "71b038958df0b7855fc7b8b8e7dcde8537a7c1ad", "3aec4bf3cee81e9574879bb04e5da7f8b310671b", "062d173e11c19595909f598ccda04998b2bcfa27", "469e0e79c936130b3727d598fac46913c75489f6", "c5f1a1e7e9d7dc2f795e86fd4fb780da09ff0e45", "460845e06ca99f292fa2265beb4e535d20ba16f8", "84c08d24012f5af14589c371d34b146202850c96", "21d7c74ed8a1c777debe96937c08b162ee01eac6", "af7cab9b4a2a2a565a3efe0a226c517f47289077", "a89ad89748ed86ae916f0b0143ab61f01e637205", "3a6ebdfb6375093885e846153a48139ef1ecfae6", "a7e9d230bc44dfbe56757f3025d5b4caa49032f3", "ca548fe8e5db29b876115d31544b68add98ae6a8", "787303db8e707feee2fa2b93dfc46e3d3cc244cd", "06de3eab314437cc3ed08c3db5171a79c1f684c6", "7d3dd33950f4a1be56eb88c0791263b3e3a6deee", "fbf20dc3367864462d7630aad81c436e50d1cd60", "07de8371ad4901356145722aa29abaeafd0986b9", "cd61c4253eafb8ae5d6131f4ab55bdcbf1586e40", "cbdaf66888797ccbbbae7e47b1880246a643ec70", "af386bb1b5e8c9f65b3ae836198a93aa860d6331", "d6b1b0e60e1764982ef95d4ade8fcaa10bfb156a", "37b3637dab65b91a5c91bb6a583e69c448823cc1", "83d16fb8f53156c9e2b28d75abb6532af515440f", "25d7067e0120c6eb863f03a420e644ebbcf2ceed", "05e45f61dc7577c50114a382abc6e952ae24cdac", "6845cc4e9ceb13e8204cfe8ec818c91b0cc21f52", "192235f5a9e4c9d6a28ec0d333e36f294b32f764", "95029b1041a169e5b4e1ad79f60bfedb7a6844d0", "aa23d33983b1abd2d8a677040eb875e93c478a7f", "0728f788107122d76dfafa4fb0c45c20dcf523ca", "f809f9e5a03817d238718723a7b4ac04abcd3f12", "e443cb55dcc54de848e9f0c11a6194568a875011", "bd4f2e7a196c0d6033a49390ee8836f4f551b7c8", "6775c818b26263c885b0ce85c224dfd942c9652e", "2070296caed1f915d05f7977181698104e2f14f9", "7b1be02cbbef951875813ad55d3016ec2aee17f6", "7335de73c5607015779085dd990022efd67faf2c", "42f512d36722b09d1c83d328051badd374769fed", "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "6900bb437679dd0b0c5cea0acdaa9429d0127d38", "be48780eb72d9624a16dd211d6309227c79efd43", "3d5575e9ba02128d94c20330f4525fc816411ec2", "78f62042bfb3bb49ba10e142d118a9bb058b2a19", "0690ba31424310a90028533218d0afd25a829c8d", "0c7aac75ccd17d696cff2e1ce95db0493f5c18a2", "6c78add400f749c897dc3eb93996eda1c796e91c", "b61c0b11b1c25958d202b4f7ca772e1d95ee1037", "970e571305ed9dde9308e559694044e204d6e2ad", "79894ddf290d3c7a768d634eceb7888564b5cf19", "0deca454f2bc1be9421653f4f3f6ed9e38846628", "fec2a5a06a3aab5efe923a78d208ec747d5e4894", "155ce5d596c7b525110ca24db11e47d521b487ce", "5ac63895a7d3371a739d066bb1631fc178d8276a", "4e559f23bcf502c752f2938ad7f0182047b8d1e4", "7536b6a9f3cb4ae810e2ef6d0219134b4e546dd0", "11b89011298e193d9e6a1d99302221c1d8645bda", "de3245c795bc50ebdb5d929c8da664341238264a", "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "78598c69201cccfc060d47fc0415f2f9365035fc", "9c71e6f4e27b3a6f0f872ec683b0f6dfe0966c05", "14725e03c93088c071f51c68137b5b8fcfe2129e", "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "aaa82dfc7942ae16c1d7155a109582505ccee4ec", "b1abe5b8eb9a153ab1013243e2180777ec2fdb56", "1e4474f86bbf4bc78336c2f0040f6cf995d07edd", "0cfcc1cd8bae5f5899cef0995debd7b38c46e817", "f25295b1ed1e8dbcf6bfe17db294d0ab32802633", "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "189b73b11634e4ce5268006ba74646cb0b4fa754", "c636cd6eba286357fe807c0ca4b02c3b9b7b5619", "b6a3802075d460093977f8566c451f950edf7a47", "2e7874ec37df91db1934d61d9e1181de5e4efb36", "122f8f315feaf90ae78c4061846a42f0ac514c1c", "ca1b0b87d1a21332bb8e9458e5acca4e596f7c83", "618c13f1e13cc5346ed5c069a77acaa720b6a1a8", "4d507e9e9e2f8834cf56eb675f5c5e5477cd15b2", "cd6cab9357f333ad9966abc76f830c190a1b7911", "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "0fe8b5503681128da84a8454a4cc94470adc09ea", "8d01119f663d667edb8cbc360340a4ee1a20043b", "3c6b46b7867a387ef46cfa7eeb3f0cfda47af2d8", "9bbc952adb3e3c6091d45d800e806d3373a52bac", "6e209d7d33c0be8afae863f4e4e9c3e86826711f", "bba22e04fbe124bf58330e5d911d873a80afa0eb", "912f6a6ac8703e095d21e2049da4871cc6d4d23b", "70671018d4597b6d2d0c99b38b1f1a3f1271eaec", "0079d56c8e183ef36f876b84327b97ee9454825b", "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "46d85e1dc7057bef62647bd9241601e9896a1b02", "f840e727e55e9ab1d4f069ecc38da78cd2ebd23b", "67e3fac91c699c085d47774990572d8ccdc36f15", "3d21d0923d9f7dc3836f2790dd8e1db98e0c2013", "5710ddc7254500901111394e968cfc41b4fadbe1", "5ad99fe589826adf9f2a95c5b3fb6e86f3d276fc", "a4f29217d2120ed1490aea7e1c5b78c3b76e972f", "c85aa12331bdeaba06d4c3e44b969e6060c3310c", "f2d07a77711a8d74bbfa48a0436dae18a698b05a", "d76f68c2d0a45ab224065d57836bf3da360c82f2", "09fbcd901db726caec1f3bcbda5266ca72c7deb6", "56e95fa26fb417776824e5adf6d6d511e5b30110", "5b705232a9ab0a91030abf0aef2464a74c9eeb0f", "a6e695ddd07aad719001c0fc1129328452385949", "ff11cb09e409996020a2dc3a8afc3b535e6b2482", "7b8bc2ff998c8ad5fd0464da8da3b42c32d51750", "770e5117d02ece2ae62d734089fc6147f9a90be8", "7c98c27f4be40a7675ba9c85179ce72d12593a7a", "fb1732a1476798c42a0123aaf127036bf8daef09", "e103fa24d7fa297cd206b22b3bf670bfda6c65c4", "9a781a01b5a9c210dd2d27db8b73b7d62bc64837", "b68875e99baa9118a6df314e947d6fbfa78e29d6", "ac559888f996923c06b1cf90db6b57b12e582289", "c05733052172753c8736e07fa8004dbaacfb623d", "2a4fc35acaf09517e9c63821cadd428a84832416", "f60437dc3d8687930d82988713fe16184117ef27", "cd4850de71e4e858be5f5e6ef7f48d5bf7decea6", "2ff945f495ac137b4e0cc7e9e1d516c555607822", "c5decf0a3906c85b6540e96c9c7003957c6d395b", "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "790bce6cbe30ef9bc4431c988d0d747da1c6bb1d", "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "1a11c2e4e74c0876c6259b8148575a0665e1a7cc", "34b925a111ba29f73f5c0d1b363f357958d563c1", "c76b611a986a2e09df22603d93b2d9125aaff369", "4b7ce0fc27cd84c2b44f16c16b1c5c6b612c6881", "9d0ac8e084fd6ac32528aa480f71fab4b4f5d3a1", "d7f3836f2d28adf15fc809bd4f90afb1f61ba8e0", "70b0538af40672e3be4b72f97cec486693d5204f", "7cb4ab1bfff61bf0d1ebec6c4402b7e45e62c609", "738947f9b0bc50d1b7d5cbe84856bc18fcaee386", "0f366de3ea595932dad06389f6e61fe0dd8cbe74", "1927d01b6b9acf865401b544e25b62a7ddbac5fa", "4cc98d819de01db8e0eedfac1022e6bd0b1bed03", "1ecd20f7fc34344e396825d27bc5a9871ab0d0c2", "6a60c3994e4701b2d6ddd40609f6f0bb03fc9605", "038b5a38510f5b2064a0b24c94e59ee2b7c49815", "5ef49174ca2b54c1bb54df828acc52075cf1634b", "26aa0aff1ea1baf848a521363cc455044690e090", "260d8f563e581e4151501375fbf58425f401b1a1", "3548cb9ee54bd4c8b3421f1edd393da9038da293", "25ee08db14dca641d085584909b551042618b8bf", "d0f81c31e11af1783644704321903a3d2bd83fd6", "88fb26bfcd7a52b3f6a5e9e6cf0ea04628d1049a", "155219f3e6dcf5d5f44815a7493b6b7cc8e02263", "a996f22a2d0c685f7e4972df9f45e99efc3cbb76", "4da5f0c1d07725a06c6b4a2646e31ea3a5f14435", "40dd2b9aace337467c6e1e269d0cb813442313d7", "0f1cd6eda6c6d09af59f0590a711f299b39fe948", "26c58e24687ccbe9737e41837aab74e4a499d259", "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "299b65d5d3914dad9aae2f936165dcebcf78db88", "2a218c17944d72bfdc7f078f0337cab67536e501", "9c49e4ba8ad0ba4634fe9306fb612695ed2b8cae", "cb5dcd048b0eaa78a887a014be26a8a7b1325d36", "ea572991a75acfc8a8791955f670d2c48db49023", "17444ea2d3399870939fb9afea78157d5135ec4a", "c5f02a3aadcaaf0dfb11788cdfba037fbcab5929", "63660c50e2669a5115c2379e622549d8ed79be00", "5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1", "f6e58f54b82e19ccf7c397cf8200ebf5160eb73c", "3b6bbb187c09f6e64fd5bf2d528ca8bd3363d115", "3f70938c1ea282a2f2efd4609223d04a8f1e1288", "46994b489f7c673d031f6ef644e84ebe5d843d93", "472541ccd941b9b4c52e1f088cc1152de9b3430f", "adb6fbff14b660aa6547edbef27c01ff427eba33", "31b2b1dedaa171bae9a10dbf291e445f1c3e38c7", "049ad2deb4ce7d1f98057694406879816c4ac049", "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "9184b0c04013bfdfd82f4f271b5f017396c2f085", "1a5151b4205ab27b1c76f98964debbfc11b124d5", "8d07e8bb63d489e6b60b187b679670cef24f9bee", "a05dff6fa9b4829306b1cd311163e587c8cb1ca2", "fdb6599cb273a88ff38a987b19ec2ec4b7efb2ff", "766a3939b9c1f785cb2c1dc60719c9290e606042", "b9b7b37d7edf4482a6f440e282c3418ab1913afa", "57488aa24092fa7118aa5374c90b282a32473cf9", "1cb68fa98a0d9871a394cd0035488df167b9c2cf", "7771807cd05f78a4591f2d0b094ddd3e0bd5339a", "8a9a3cfe8dff0d0792db3173a4aa0e354a17cddb", "7f4292745f5169655f831ffa017aab9acd7a994c", "4558338873556d01fd290de6ddc55721c633a1ad", "8339ac6062a7a17c604b1517c16d18e2cd365132", "85957b49896246bb416c0a182e52b355a8fa40b4", "a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f", "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "67c30688bd46d305c610a83a0b28e86e10ef5cc4", "9547a02bdfe44c39ab3537142cba44fc52b8e834", "de10f93b0a3656822aa7c0b5d62074ff5eac60b2", "136954b17d0931cc5aa93aa80ed91b5e7b402fcb", "5d425633681755fb9235023aefc78e712fb7efc8", "b5e3beb791cc17cdaf131d5cca6ceb796226d832", "2a40917ef436000b22bc7c6f35400440ef673d36", "532c089b43983935e1001c5e35aa35440263beaf", "35fc0b28d0d674b28dd625d170bc641a36b17318", "be9dde86ebd10ecb05808e034e3cadd210fe0bfb", "e4cb27d2a3e1153cb517d97d61de48ff0483c988", "8d203fba8a43e58703618cac3b5147c92f5919d7", "132fb6cfb40a82001bef31b030d0e740ebb69c26", "a67da2dd79c01e8cc4029ecc5a05b97967403862", "4ab69672e1116427d685bf7c1edb5b1fd0573b5e", "989c7cdafa9b90ab2ea0a9d8fa60634cc698f174", "85af6c005df806b57b306a732dcb98e096d15bfb", "58a6eb3584b2f5df2f25d39a218904d510cae516", "cdb293381ff396d6e9c0f5e9578d411e759347fd", "7b73276eca7d2413a219961685f6fe6870c42ff8", "6fe149e588a5bf15bf89edfedb1a29cc31384ddc", "0e67717484684d90ae9d4e1bb9cdceb74b194910", "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "07c80339af2dc54c94c03c01db71a3d7d2bb9ea8", "a2bfab80a4b48717aa647cb38069632c5962c6a6", "e7dd1ad267f5b9483400bf03e101de7f9cca1e39", "4dc6659b5022ecc2c4e1459e9dff16ddece4147e", "7ee53d931668fbed1021839db4210a06e4f33190", "51424fddff93b26381e5bf63b3003d610283955f", "47203943c86e4d9355ffd99cd3d75f37211fd805", "45ff38add61df32a027048624f58952a67a7c5f5", "9ee4d3c173c41ffb6f5aa3c40951aefe3da11d5b", "0a789733ccb300d0dd9df6174faaa7e8c64e0409", "ad6313f284b081076c006d301124d12ba24272a3", "9595a267de2b0ecf7e4e2962a606c8854551e203", "9d3a6e459e0cecda20a8afd69d182877ff0224cf", "f5083b4e28e42a2da7bafd2a742ab8e21c12559f", "42e0d7fe2039b075ac2372d883fa994eb0a68b48", "5df11c59e3b47189486445f5833675bf08359bfe", "e8d57223a3b88c58131a6642579e66f4739edfb7", "c908bd540a02af5e1cf2d556ed2a24fa7bdf2a67", "943a1e218b917172199e524944006aa349f58968", "72b6e589217e54879982e1f559197a9408e03b34", "35c3dead77e705132762006e588984ef36ee3604", "2f886f948724595e1940aab6b9869b6144d42982", "725bc4fd72070b58fb7e6819a1087e6cce16550c", "5f68e2131d9275d56092e9fca05bcfc65abea0d8", "f989a20fbcc2d576c0c4514a0e5085c741580778", "cf94200a476dc15d6da95db809349db4cfd8e92c", "3e0415f0e8c36f20042d6a1f8b7c216fb5543c3a", "9a0331bac634f67c2a993c36da95481fe53709bf", "fdee0cf79e9a2695857afeee6526352918c9f315", "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "53197621c4f41ab4e35f3bb27224c6fde0938a60", "25dba68e4db0ce361032126b91f734f9252cae7c", "883767948f535ea2bf8a0c03047ca9064e1b078f", "229bce6384ae16a388881e766bfa5a672b61dc9b", "568727a76dc1242e3d48392f9c19678a27c63482", "d1580e818932ba23b38784b48d3e472ec91cd746", "6768b558cc58e113096540c123ef3b2c2d2469a1", "357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd", "559295770dc2e2e3a1348df31ac5c3f3e66f1764", "18095a530b532a70f3b615fef2f59e6fdacb2d84", "adfaf01773c8af859faa5a9f40fb3aa9770a8aa7", "9397e7acd062245d37350f5c05faf56e9cfae0d6", "03a24d15533dae78de78fd9d5f6c9050fb97f186", "17d4fd92352baf6f0039ec64d43ca572c8252384", "86d827a84e9f9bbd27e87c5b2199c79e34427369", "30a29f6c407749e97bc7c2db5674a62773af9d27", "280d632ef3234c5ab06018c6eaccead75bc173b3", "cf98c333c8d7d5870c1ce5538bb0c3de3de16657", "3eaa860f2735fce8b839237397455c13dfad1ed1", "0f945f796a9343b51a3dc69941c0fa1a98c0f448", "0db6a58927a671c01089c53248b0e1c36bdc3231", "63111778d25b1105fec5e09bedf9122eafe34fd1", "5979acf247d8af73b41da0eab6d8a7eda1036c9a", "08bdb84d5c66265b3b6d33e8f95c4cc27caf33ad", "14d0afea52c4e9b7a488f6398e4a92bd4f4b93c7", "16b5890dd6ec399a235d4ba13484fbdd4e4f5cd4", "8da1b0834688edb311a803532e33939e9ecf8292", "f42d3225afd9e463ddb7a355f64b54af8bd14227", "3e63af98d0da4e267411de8743e68f65b00e85a1", "dc6c47d15ffc0fd59e51ed03556c3566afe5710b", "f13552e2e2843716e7a1c7c2492cfcc6e86aa03c", "da9080d5b433f73444078ac79c3a8a4515ad958e", "e963ac953e084f6223a5d8379a52631508426ed7", "a1dd88f44d045b360569a9a8721f728afbd951c3", "322c063e97cd26f75191ae908f09a41c534eba90", "28b039cb4b00cc4deaf791b5e923d58637714f49", "0534b58649818607a8ad31e6a63e4b1d37be16a5", "0c36c988acc9ec239953ff1b3931799af388ef70", "08f00e5adaba03628144dbc97daefa8ceb6e5322", "fc027fccb19512a439fc17181c34ee1c3aad51b5", "426840ccf74bbd8b087cf357efdb80ecc85ea2ab", "24b31c4d044fc8a625a229fd8296b71836d4a422", "165c27a4bfb56562c807279bef9d15f1bced5ca0", "ba051292ca6e8c689542831479e436be7035c147", "377f2b65e6a9300448bdccf678cde59449ecd337", "a3a7b48f707b87198d93f3fc7cd6dd1bd753fcc3", "7a82e4a2787b404b4c9c9238fa626319e85a528d", "c0f17f99c44807762f2a386ac6579c364330e082", "8c00fe016755483f63c96b5530d259bf815c9d29", "c48bde5b9ff17b708ab3e4f7c62a31a46c77f2f1", "19441b8be551e8134dd9eb33238309bc2de0a42f", "7854876ab5d87248ace94615731ed3e3e56af769", "451eed7fd8ae281d1cc76ca8cdecbaf47816e55a", "992b93ab9d016640551a8cebcaf4757288154f32", "7489990ea3d6ab4c1c86c9ed9f049399961dfaef", "886caeee31c23134adafd0b191e911650de85a24", "228b899a16400c4e23ac1a7eb6de3e69797bbcf7", "41199678ad9370ff8ca7e9e3c2617b62a297fac3", "424e918134ed7c70fa73450bd6af1bd982071a27", "c5e039f2565def55ad7587c443868e815bc3ff7d", "e7713751e08a6e837a4b9bcd766b021ee5c15502", "923e9b437a55853120f1778f55fcd956d81260f8", "7fb74f5abab4830e3cdaf477230e5571d9e3ca57", "10793d1475607929fedc6d9a677911ad16843e58", "c94fd258a8f1e8f4033a7fe491f1372dcf7d3cd6", "add80957faa3cc64f293f239c01752dcf022ebe7", "d850aff9d10a01ad5f1d8a1b489fbb3998d0d80e", "c27c2fe9642fb82a3dfc314ce6003fe7a88eb1ec", "2581a12189eb1a0b5b27a7fd1c2cbe44c88fcc20", "96416b1b44fb05302c6e9a8ab1b74d9204995e73", "aa2ddae22760249729ac2c2c4e24c8b665bcd40e", "60542b1a857024c79db8b5b03db6e79f74ec8f9f", "bd8a85acaa45d4068fca584e8d9e3bd3bb4eea4d", "456abee9c8d31f004b2f0a3b47222043e20f5042", "7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb", "6bbcec054017a6fd64af8bf325cb6e3e7244ba55", "b99588bd0393a60a0c627970ab6cab7338d08ca6", "57558bfe896ca98777f6345a07e65752585496cb", "5080655990fe0e0446bcb038b3e0adad0218bd29", "7142e659d6466717cdb8a242d8e34fce176b3f4a", "d58c44bd9b464d9ac1db1344445c31364925f75a", "0391dca8171f52015eba4fb0e4be3be071950fc9", "fbb9cdd699baf86e9d616b259ada02449c2322ca", "3347d3e9f8a2da66e1c00f6a1e56bb37d27145ae", "e849b9b3e65130712e23afb872ac925e1e9a6b73", "3f775e3be9e1a00ebf4fd281e524932e88cec0ae", "9588b3416aa68104b58546a4f82e234a3670d266", "3261a6ca620845566a61ebd0205dfb75d1c0d0f8", "5087d9bdde0ba5440eb8658be7183bf5074a2a94", "f33a7e98930f9623615b6ab3133431a298586f85", "1f18708439ba1dadd81568e102216731d44340d5", "fcabf1c0f4a26431d4df95ddeec2b1dff9b3e928", "7f29c53c6483919c8467fb596af9596ba546f11b", "7b83867b7f79cbfbfc71996bcf07fe7ee7a7600c", "1699acad478e85bac4632612b66307dee4cfc60b", "0b6f64c78c44dc043e2972fa7bfe2a5753768609", "c1b971cd7263e788e114cf8c4aa076a2e170990f", "016eb7b32d1fdec0899151fb03799378bf59bbe5", "2e3f24d9cdba1d0343248a81c13bca96db123c21", "fce4680e09b2521dfe75819dbf20d973fec4b864", "503c16d9cb1560f13a7d6baedf8c9f889b22459d", "cd9d654c6a4250e0cf8bcfddc2afab9e70ee6cae", "e7ef466eac953e2fc1ca59b08027c4a9feb3cb9e", "28737575297a20d431dd2b777a79a8be2c9c2bbd", "7e736f25911c91cda343c000aabc773ed9a94fdf", "65eff143b099e53dcf39692c2fb542b0ee1fdfb6", "80ce8b6abd00c4148f03011944ce03d38fb82c39", "1d6905e88f64ac826344d89c51ad8daea3b95e0e", "66a9c35828b1a4c264008a35fdb975a07c128fa2", "583e2dab221ad5d54c1b1cc0a9df4f1254bf3942", "b797f3fa4e732d52092f9eb863350440d5de8bb1", "16bd481fb66259df9c4c22b54797d8e8adc910fc", "46702e0127e16a4d6a1feda3ffc5f0f123957e87", "d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb", "7fbff9fa2ba7a7ff57a433e8bb19cfd99d52132d", "50c5a552c191bff34ca74e0f8dbac159e3814533", "860952e6d159003648290fac0362883b4e7adda6", "386a5c06d334d20227e8b2daf5433a2bef385648", "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "291e5377df2eec4835b5c6889896941831a11c69", "b69fbf046faf685655b5fa52fef07fb77e75eff4", "4438d4dd2dd096906c321b166b092ee51474804e", "b4c02e071432a9a986501b7317b524f216e87ec8", "13bda03fc8984d5943ed8d02e49a779d27c84114", "7bc74eec0a0aa43ae2b9448e16dd9d1fa4234fb8", "87a66ccc68374ffb704ee6fb9fa7df369718095c", "4960ab1cef23e5ccd60173725ea280f462164a0e", "8856fbf333b2aba7b9f1f746e16a2b7f083ee5b8", "2dd14a73911446f90c9dae9bd46eb172e2c7fba2", "f9f01af981f8d25f0c96ea06d88be62dabb79256", "6cda4d23983298ef2c9bd719805e66f4fda7e6fc", "ca90c12af32c057c9bfd46a7a054d799a27f0e78", "09066d7d0bb6273bf996c8538d7b34c38ea6a500", "415a4e43bb1cd0570a51eab1bc09796cbb09b2be", "574f05ab2f135fad33ccbde85debdd12bb41bc87", "81bae1505b1d404cecebb9e1b17162ac124cf4e8", "4a06c130c57b373718d15aa25ebb958d78bf2840", "4aeebd1c9b4b936ed2e4d988d8d28e27f129e6f1", "232ff2dab49cb5a1dae1012fd7ba53382909ec18", "1b32284d732e0aec506411b71e6150df53d167f7", "809e25da311366bfd684228e16184737d948eef6", "465c34c3334f29de28f973b7702a235509649429", "caa2ded6d8d5de97c824d29b0c7a18d220c596c8", "72642c9f4dc2ec2f4cc28dc056f8e542ff20b178", "289d833a35c2156b7e332e67d1cb099fd0683025", "09a05ecae987d9ababf5fe52323f69fa3e889d83", "0fbdd4b8eb9e4c4cfbe5b76ab29ab8b0219fbdc0", "f94f79168c1cfaebb8eab5151e01d56478ab0b73", "4b37efd3987c1e625b063a6998bd6b282c844915", "6bb51f431f348b2b3e1db859827e80f97a576c30", "b78e611c32dc0daf762cfa93044558cdb545d857", "c67eee5e0ecc020264fae089a08a1abf8c0b6240", "e605242319ba495bc5f47abe9f1c08d508d83627", "3a8f16d8f7adae8bd0cdc5cc5114dac0b388a9f6", "688cb9fd33769b152806c04ef6fc276629a9f300", "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "bc12715a1ddf1a540dab06bf3ac4f3a32a26b135", "19317c6aa7f88c79abe03b146aa5d340a11fde3f", "143c8b8a45d7176240b1bd7a6e7aab705866ccb2", "28b72ad9229f38ec61f950e1d794d6af070d1800", "1c9333bcf523388d75f852e0689b0e7f5a04faa4", "050e7e32fdc48150f66cb5edf166790c69652b8b", "17a9db524ddbeb5577a94924c2a7cca048dd19f9", "a81d396c9210282d461f9f08b7b9794b096ecdfe", "4d1757aacbc49c74a5d4e53259c92ab0e47544da", "d392098688a999c70589c995bd4427c212eff69d", "1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a", "72e9acdd64e71fc2084acaf177aafaa2e075bd8c", "1b79c2e3816eead394145f2f1d12d3314431a035", "f2d95a5b29986a6a28746b30adfa43497b27ff02", "9da9ee38d5845d39497b10b0ab442580e75ee4d3", "266b5b038750e1ab1311e38554e4c2c8ba6564fd", "220f8088f2fc1ddd9df1a0b583d3d01cb929ee8d", "07b8a9a225b738c4074a50cf80ee5fe516878421", "8380b8f4e36c993eef23af42ccb382ae60aceabf", "6a1e5f4dbabf451122bf35228c8b25c79c7d235f", "b1d8d693e34c8cd80cf2e361f0910d5454393c11", "d146d7726369be92c6d67ff201a8a9300540a03f", "2d0dfa8779aefa1a9a89a1b400188fa9114b4c0a", "1bbe0371ca22c2fdb6e0d098049bbf6430324bdb", "9954f7ee5288724184f9420e39cca9165efa6822", "7e6c2d3142e03af2ca925418c34239ef8c262f8a", "ccdb0c44cb6f30924801877ece4f797b66670985", "cc835394ac6c47263c57aa815f1c5b9ea9cd0261", "0a773ed20a5920897788dd6f0d63c20defca8ab0", "a91caf771905ddff8cb271f04e7ede1a8b6d529b", "d3f349c401dd1b3eec10e6c2d8bb51b9a0f3580e", "be6f29e129a99529f7ed854384d1f4da04c4ca1f", "e212b2bc41645fe467a73d004067fcf1ca77d87f", "7ff636c82898a35d3239573f8e3a29da89c73ed4", "51c4ecf4539f56c4b1035b890f743b3a91dd758b", "007e86cb55f0ba0415a7764a1e9f9566c1e8784b", "d6dfe23018172d29c36746d24f73bf86e1aaa0a6", "9bc05a3505ed3210729aa59e405a974259925268", "54d97ea9a5f92761dddd148fb0e602c2293e7c16", "6140b789d5767dc124f9c3d8db7062d0e637082e", "0e923b74fd41f73f57e22f66397feeea67e834f0", "f0e17f27f029db4ad650ff278fe3c10ecb6cb0c4", "93cba94ff0ff96f865ce24ea01e9c006369d75ff", "19766585a701749fc297a5ca6b8cdc0c62d4ba1b", "30e6cf0c3cb38997acb05a2f5ed86269643ae3ed", "b13c28b35571627162cf46765821c739a7dc2d62", "24fc311970e097efc317c0f98d2df37b828bfbad", "45fa259ad3c2453226093ae72d8a88e2e5ed2252", "5c4d4fd37e8c80ae95c00973531f34a6d810ea3a", "183ad3409a53914247affc599b33af38d94937be", "0cc2dd2900339836e6d42f2cb0e542bbe5627454", "2fd5b8ef1c62e3fcef69bb7deebbb7d77d5998bd", "2ce76250731cb19ccc5ffff43e4c6abec8f5af79", "0f08d62e882026ac83ebf26c0bd288c553873814", "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "20c02e98602f6adf1cebaba075d45cef50de089f", "c17ed26650a67e80151f5312fa15b5c423acc797", "1e2b8778cfe44de4bbe4a099ee7cdff5c2ca5f38", "5b3725c8b5e058ec3a383b621aa9316b90738b2e", "6838a27d34b0a47e44dc94dde63e3f83986c984d", "d7da0f595d135474cc2193d382b22458b313cdbf", "0ce08f1cc6684495d12c2da157a056c7b88ffcd9", "d4d5a35371d35640d01f78abf9f51debb098cb4b", "1b12c10ccf3a814d7465c67542ae7b0f76521a81", "289b9161cf1b474837c1b5a0fdf444ca72b95aee", "728a8c4ed6b5565a250bd1e0587293a6a97f515b", "f2a158e5bd95e5dc7ab9169b613fed64d3aea663", "40c3b350008ada8f3f53a758e69992b6db8a8f95", "78bf95cfef847473ac9c83e625f2a52da82b0f08", "a28f831b4014fa75a69f3c56e39d9c40fc0af48f", "635bea02dae6d4402b53eb3b31930b53ef00adc0", "29aa9c557a46ad214a4236143d93072ab018841e", "a96c45ed3a44ad79a72499be238264ae38857988", "567078a51ea63b70396dca5dabb50a10a736d991", "6e4e5ef25f657de8fb383c8dfeb8e229eea28bb9", "cf528f9fe6588b71efa94c219979ce111fc9c1c9", "3b67645cd512898806aaf1df1811035f2d957f6b", "03484414f657a6cce8e08dc8a560ac9db65088f4", "7a7a53b05e22305b2963c05ac89830e099146767", "5d165ff5b0b389e32809c17838a2afc218a91d62", "ef2e36daf429899bb48d80ce6804731c3f99bb85", "cd444ee7f165032b97ee76b21b9ff58c10750570", "333be4858994e6d9364341aeb520f7800a0f6a07", "0632a9ace74f540e8793f89a84bb7555ba9deece", "75410eb80800f8b51b555da7d61b03b3fe58cc47", "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "15728d6fd5c9fc20b40364b733228caf63558c31", "1c521ac6e68436f6c6aad3c0eb7ffa557fe25b0d", "ae6e8ad5bce62d2f93ae3a039368f4e90c83922b", "576ffe2304aba0b799b4d3b8880f4b5a244ece5f", "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "79a3a07661b8c6a36070fd767344e15c847a30ef", "5aa7f33cdc00787284b609aa63f5eb5c0a3212f6", "8599560c50a55e75928dba6bbcbb98ef180a0798", "cf77d2e7411814b30aca203376709b12a0eb3e08", "edcf668846a3aaf55120aef0c806854936208b3d", "c303dba374c094eebb7005724b76d33547ffd830", "3159c9423862b22c6326801ad4353ae2cfe30d32", "38f88655debf4bf32978a7b39fbd56aea6ee5752", "0069406e49ba09432e9723d4a2eef27b9b8994b8", "7b3b2912c1d7a70839bc71a150e33f8634d0fff3", "056892b7e573608e64c3c9130e8ce33353a94de2", "7c33367c65094b25e30527176d85f4e74fb07c72", "7e5414277148c8fdf9903068b001887225b69868", "79e7f1e13e8aafee6558729804cf1284134815b3", "acdc333f7b32d987e65ce15f21db64e850ca9471", "da4137396f26bf3e76d04eeed0c94e11b7824aa6", "5240941af3b263609acaa168f96e1decdb0b3fe4", "126250d6077a6a68ae06277352eb42c4fa4c8b10", "447b57ff91e3572da718c18b2bc016839ce418e8", "0cbbbfac2fe925479c6b34712e056f840a10fa4d", "28df3f11894ce0c48dd8aee65a6ec76d9009cbbd", "4baf3b165489122a1f8b574240c2a7fa9b6a7a14", "325000c2ebe4fcfd08946aef91aee8bec22026a5", "aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6", "cb84229e005645e8623a866d3d7956c197f85e11", "636027f52ab111b2b22332ab2ec5346d03aac305", "a79a109a1dcf103cbb929cc3807572683bd3c35a", "3dba6c86541aad3ec8f54c55d57eca9aa98f4ed2", "535ed3850e79ccd51922601546ef0fc48c5fb468", "c679fd4e29597c64e5921fad796183ae30db8396", "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "ed90a9d379f6412a1580e7eda5cb91640000dc42", "bff8bb99347ff866e1fb77476fe3a660f4dc2af5", "b8fb23610ce59509e926fe068281476deeaf5687", "deff1653be22ef7ea2a4befe0eccdf660111c504", "d115c4a66d765fef596b0b171febca334cea15b5", "8306e384e7ca48445843bc025b08236cd181d7c6", "e20ab84ac7fa0a5d36d4cf2266b7065c60e1c804", "a1fdf45e6649b0020eb533c70d6062b9183561ff", "775c51b965e8ff37646a265aab64136b4a620526", "0688c0568f3ab418719260d443cc0d86c3af2914", "3988ed2b900af26c07432d0f9f3c2679f3c532ac", "3bfa75238e15e869b902ceb62b31ffddbe8ccb0d", "6d34ccaa0429255264c747f4ad86cef299a36f3b", "5d92531e74c4c2cdce91fdcd3c7ff090c8c29504", "beec0138d21271379bdfa89317a0a1d648733bad", "c919a9f61656cdcd3a26076057ee006c48e8f609", "c6ce8eb37dafed09e1c55735fd1f1e9dc9c6bfe2", "c0006a2268d299644e9f1b455601bcbe89ddc2b5", "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "e771661fa441f008c111ea786eb275153919da6e", "4ceb9f530549f3edb3369fd0bf7406d55354f9c4", "8f05c4c1b3c1ad31ec95ccb87bca24a884b5ad4c", "facf25e1880d23eb993d4ad507256ebbc7e0d82d", "e1537df2f7ef11c4a7609d4fa094d8c5e72c9a2b", "5feacd9dd73827fb438a6bf6c8b406f4f11aa2fa", "042daa253452d0e7e4b5920f5d56b3c7d8d7507b", "245922e5251c103c2021577cc0f99791d748ac64", "6a75ef6b36489cb59c61f21f3cd09c50ad5b2995", "461f6b955f6129aa1977eadef028dab9d8897f1c", "0f2d6a2c37203af0a3b10a02773b659a71468d32", "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "7268747251a61d1ce3285baade15c372d4c566d6", "3c4d0c604d892572996c1ee0504a1f1e0887a2ce", "83c00537e0c3e226d999a5abf02464e138867e96", "b6f5b2b519316e9ebdb8d3a94bb8f8100e028cae", "6120b82d4fea996404a9cd429c6724ccaaaea6e4", "7cf8eec76042dd8117f8c1e02b3d2a9ca4748dac", "7ec9a18671aacdbc138d082da0572e62806ce8d9", "547b09ddbc94900523d60dcfc51b61add7699588", "907d1baa5f344d147aad4a3d9cff382d9e7250b9", "5f9253997ce7ad510989e58c5c2b98e5af017fb0", "129eb5f1bf5f49e973f8bec8d4e8389f5197054e", "06f02199690961ba52997cde1527e714d2b3bf8f", "eb2d85e01488c54f48da94748d3298732f5b5de5", "e6f46d75c7ba653f027fea11a3c33337aff5c336", "a6b3457f861c8ab718321dc30dc708a4f8424796", "8ff6581f94c366e34c6f2d55806f7781194c33c8", "3146fabd5631a7d1387327918b184103d06c2211", "73b5261948b9b1e998bc84edf061efd354dac479", "b5ae8b69677fb962421fe7072f1e842e71f3bea5", "a523c62fd27eb1f4d2f7090bf0f346c895c5eed8", "14bf36c03e6fd5171794a2d56d18748b1ab3fd17", "9a1e29d9f23a6a3ba017dcb382e4b37bc705009e", "fb9ad920809669c1b1455cc26dbd900d8e719e61", "116763250838c0c37dace540ff38d33bf4864960", "badb95dbdfb3f044a46d7ba0ee69dba929c511b1", "f1aaf4f80c2bd42f14d8feeec34bcb0af48a61db", "d00c335fbb542bc628642c1db36791eae24e02b7", "33e0b83b705835c1d0ea878225e82f4a0f25826c", "7f92ace1683979018b87f2e472857e152503cc24", "8748c232a93cfe595de6938f209a170fca51c1d5", "c84d3506d2b831faf343a9e91ea5b257d22dbc34", "80f560e3e1b650e119dad40febfd4c692c441c2c", "811933108581e93b69f8183e545e843c6eb6db96", "6fea274d3559dfec495e7d54aec712b1e49bdaa2", "1daf18f2b1bed861a9483de129223755260193fa", "7dfa46c90d2293de3e353db84917fdee405f2a72", "7b0f1fc93fb24630eb598330e13f7b839fb46cce", "07d619a33aa9aef13da1d67607d0e671e9776423", "f5766540a5a21688f34d752fc21b92e909eb1488", "bbe3b83d2429a25459cc8114a1bad16a09d42b86", "fadd240a54d0598c0cfe679d3cacfff0300f13fe", "bf6598d7c16a5e86d6eacda31185b1b2e8411b19", "359b4a4c6cb58c8ab5e8eaaed0e8562c8c43a0f9", "8a91cb96dd520ba3e1f883aa6d57d4d716c5d1c8", "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "3c16b4c829d6fb0ae73211e19e99e424ed02ae52", "9c2a18691e28a6112cced694564247f56f5c97f3", "e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d", "5365892b23db7e8bd526441d339c9165657f7efb", "dc0341e5392c853f11283e99a7dc5c51be730aca", "16ead73d29d0f9f99eeffe2ee4cf1f8fd1053459", "e0d9d6bc35f1ec90d5e41d9bf176b2a00dce3a97", "fb0062eadbaae53c0fb001d0add7ea8d0f7029cd", "35ab5978376ea8113ff476076f18a677b4136d92", "4a77c8ab5d538541ac5f37ae6200d34360ff36b6", "c34532fe6bfbd1e6df477c9ffdbb043b77e7804d", "4df37f8d253efc3fbb6bbc9fe7273a39eceac76d", "9d226ba34cfc70bfb5b8e808bd18c217e61f1770", "7dd654ac5e775fa1fa585e257565455ae8832caf", "bd5802008156ed1ee6919ccaf21ba6c06bad2a4c", "523303e477d3b5f27373047c576b9b6dbe478f8d", "6cad5d0dca60d7d958d19ca4e03989772ff81784", "ea476558228c2fe014e034b76b5de35e40de8215", "16d9b983796ffcd151bdb8e75fc7eb2e31230809", "15037913b5d3f299da509218f0b914227d10b929", "565a3ec8b9fbf62d3341ba0047e14afc8f40cfdb", "a75db530b5a905c87aba6b65676809b35f9614f5", "a967e05a1eec6610ed88bb2aafc98de6b318f763", "06d89147794d0889b2e031b0c6811423806f5ea0", "8294072ea75ae73ddb8d9b85481b9a878f3b87c7", "ed0cf5f577f5030ac68ab62fee1cf065349484cc", "0698eb3b6409b0e79fefdaf9a99759d1acb940f0", "00dd0746d0029ab373bd855d6bf52bf1617ebd0b", "37da23bb50d75395e7feca8f8d97c82f22d8e95a", "4a1f7905a2d6f218bd39172fb6247ffa9cfe0640", "cef27cb257798380ceaa90fd65ccde1660957923", "5fc81eeb3920771984f5824bd4d4524016869f02", "4915d25f3db7506d9a310bbd53bbb52f521192e9", "770e16c18589ebabc9596a54cd5eeab8cb8fe62e", "46d29ee2b97362299ef83c06ffc4461906f1ccda", "fd892e912149e3f5ddd82499e16f9ea0f0063fa3", "9ad65c5c5a2b22ef0343831fe0dabc2055d72497", "affd45bdd5e7e20932b1caffd121600629d1a5e5", "0df0d1adea39a5bef318b74faa37de7f3e00b452", "e6fdc3cd184e94126b8f1207be325822dc0f54b9", "0dd86ec40c90c436a1ec566501dc8429d85b9d88", "4259f9b7700b060bda58630c4f2e2da9f0fedad6", "066d71fcd997033dce4ca58df924397dfe0b5fd1", "066000d44d6691d27202896691f08b27117918b9", "69efe30bbfa798e2b65e3d42d92427a8ffe9b0d2", "af89e230af9b31559ebd787767a47dc1670012dc", "a574d3c22195fd7fb83f1a35e83c43108c37bbad", "b5975cf3810bbe62a927eb1999f3d480eb584497", "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "64c1d9a031ec0e6785dc92edc0d00cc0802e32b0", "550a7764e30f9805484e10d5b9936c539c5cd2df", "5af1e8a38b64c6694b9a34cd0b1596f2c905d3ff", "b2597f8d137b86920156b73fc9d6e3e64d597438", "08c6943a17f267ef27316cff9248b3036a7059f3", "26bfabc72c937fd4feddf585b4989407dea90c59", "66dd296261268061140f60b0cebec9580148c346", "dc9678f4563a865df780760dbf0e6ff4541fc0ce", "2c9861da30143bcad1281e858f2b441f6eb85e70", "9fcd06effa6edae818b2f1bd94cf039386d1f9a0", "9bd02152ff9fb93daef3f4dc7ef032479a6c03f9", "23a59bfb96c4f543673e05b3cf6dc01b4173745b", "fd6c144e200c39cb7209d7dc448f3b8c4d20d573", "3e01f0bac3d5df0744caf8f42ae189e113d0758d", "f9e9e352862938ce6374381fa4a233ad01ddd3bb", "0269312a7d49209fd9f1875e24df6a1d178fb15c", "62e2c431d375bbafd988d53c4d39f240c8b7977b", "603a282933dd7cc2bf012df66d1a24f6d7d0c0ae", "79f2e8a93993d51574a14ee08ba81a73abd8065d", "07625af8d73142e239b5cdccb1dd226648e4b0d4", "572dbaee6648eefa4c9de9b42551204b985ff863", "10e2f2ad1dedec6066e063cb2098b089b35905a8", "16d1e29b588fd26f5f0ac8038110f7b8500a1ec9", "8b86e6297fc9b4804fb2b78622ca1e7c8dc952c3", "0a851d13f1460eb66450473ef2c8e1bec9c7e75e", "2ea33c152a6ec4b33c379eb4cea81b34edd84813", "34c456590968581b5bc0baacfe2dc1e8ab0f2689", "6b8c949cd7a42f1b9f3b614ca40676b1a7a4a336", "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "182274b15e760537ae868d984155f5aeac88da23", "389b217408db3c6d013207ede37590513cad28c1", "47b8f1efade7c551e6eab1d11bfb85475241baf7", "27f322483a2f5f98995d4f780084000ceebc6cce", "1adb472cf79b9adc4f1223686528c524e5d790be", "cd64bfee5c008c1d96b3d0e440ef94270f50fe5f", "92fdb0c40f05fd02857f70efca469eac1c3a0e5f", "2637a5d0b677eb3145e5bc484337f99b8486014f", "f48b89fa0aa7435cfb7fcd801a51b2504b9c4515", "474c8e5bcbc744ff7045bfbedfdb336ad0ad12e3", "a50099f5364d3d4e82991418647c727f0f9c297c", "0c24ccc6d6c386a8d555a81166eaf6e8d4dfccc3", "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "806bf27919283dd4db3aef8a64e053ca5052840d", "0313924b600ebb8f608705d96c06b133b3b9627a", "4a111ca4ba39386b489f9c0a9c7949e932563ddb", "74f21f2edfa985280be63f8a01aa00541f3a5625", "a22bc85367a6474a91fecea9dd20681451c6fd0d", "4332314ac4ab56153f68a9e55e92b3659e93a5b4", "cc622a0ac114821be935ca9c66cc177b93e18876", "f5cfcefeb52bfed6c8f84b035824ce8a8112837d", "4c4622ae838ce86313c2979c0ebeec077713161e", "e414195d6e816a45e2b29c3694f22a707e29120c", "054ede6144c3dee20b9b9a435a33ece783a32cfc", "41f6368bc4ec5e334c81a9d16185205b3acecee3", "99a1c58b075b22c6b219f543e1566b215ad08396", "0e2c746b2e9d7337b63afcfb9b36998ebbb9a829", "ecd473cfbce5f058a3c9388b220b21de1ece8eb8", "e890ed30b4204b7294cdc291de7cb37a0c860f44", "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "c4a56e121cb183e2595d0c9761344d124dafd9cc", "adca02d4b34a9851d1c9c0a7c1bb8d5178b59b85", "9f889c81bdb1d791e22c5f455baf32829b5b788b", "5499003468a81f2c6dc616be6416e766b6bd3a13", "1e00b758e50fc1896511fab1cc00abddf5bfdde5", "75cf72819b8741777a961157f43d994238219f5e", "e216e7755e1c6850a3e64d1e6402aaf5a36e2188", "9807b1e0c9a89aa9b9244c3e8a720428a33e710f", "815e71b83bbfde33756fd5aea4eef74008342ce1", "69a55c30c085ad1b72dd2789b3f699b2f4d3169f", "93de2f92e71fca56254ebabd7ee64ecfb5d10692", "4f36755fd732684b977a041ee3b0acc3492e5b6e", "cb878f4c2c1bff1b640591d1902b53b3eedfbc7b", "7710f1fc67f11a91afaa951f1b26e07e280391c5", "afd5fd3c9ddf267300a6d795b79be65b197402c6", "e076f818b090e42036821c69727cfa3b7da49373", "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "123bc74a006a75fefcdd9995cbdc1c6c64c8bed6", "80ce2ef85b71cc78814a9cab77fce1c307464116", "08e6d7d062dca6ed869a21d7e5634ccbfd0dba32", "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "65637a5fd52509d33476e45aa882ed66a0584bac", "13ae3c8afef5a0d6f4c9e684da9fc1fa96caaeb6", "b51bedf49db9b892a4a346539d25f31e70faf05d", "1f2e8e29911696df774d3d674cdb5483e26efd89", "42a581862c4bf4c0315078165172cc8d40054ea5", "429bf689fe333e1a2dcd8f1d50cd0a905972029e", "42f4653f0693f16e087e4b913407d9b0278154c9", "31d4d53be57787c7dadac9d9286992b44b4707b8", "7ebc96b4b7886b263808c2cd62b21158ebf6297c", "4fc6bd10f05731b4b4948b426b164900a04cf1ec", "2b339ece73e3787f445c5b92078e8f82c9b1c522", "5520acfa1f4e678f1abbaab67ec76e903c3d3bdc", "ef66ed8d8db41f67048d077fd4b772c8ba748090", "6655aebc1ba3e0fada0a05069e84548deee50e7e", "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "d24855c3d8106b2809640579caff9fc5733aecd1", "31bbb2901d6ff0f53886e44e69c818f3604b2223", "8c244417db2082f4d5897548e72ef304ae886e52", "1623be99eb8266c9dab2300ac61bf279b65fc176", "a96b6e645a8d3eb8efc7358a852cbfbaa32ae245", "27d549aa1c1676cca14bb8c87e4f7339d9e05568", "7c0b4ace044848f8e156e5ec898847a075905495", "269e098a1297ddb1e3fcd85524dc8272ef2295e9", "0900b6288b61bf627649b67aa82be017cc6ea646", "5f4a873118e033e5e168ee99d64474b4cc4d94a3", "34f87560dc4fde9c856e46b79618817e9ed7d3a3", "7bd2f332a96fd64e015157d9564ada73cff0cf3b", "e44d8409bb5233bd1822555bf85095a80e27fd49", "224ffad672f7e6c7995780eb9bd3c8a141cb25cd", "94686d5df14875ed800a9f710bfa43ba4eb19b75", "0ae07f24251946b2086fb992031c298ada2805de", "b1757b756cba1e374a05b075d7664644332bf0ff", "6fb5c5fa97fbc761c5eff7fae18a3d27e6463330", "bca6e77e7e0db8f632af7395e99028025854ea0d", "133900a0e7450979c9491951a5f1c2a403a180f0", "f65896855e5df3db5422b57ab360287efa213066", "ccc57280e2c50381a692a67ed53124ad1b735686", "aab45f8c7a4338e80069e6a8611c09160964bea6", "f4c029044afa6cb3b08d5e47701d532b3aed9a40", "88e1580e975ec0edab7327783f59665dc711ee7c", "a303fca91c181f1084d94948169ab73c45e2073e", "18e1863e70cc93759a041b8aa745d0c0da51ad31", "3b30646bba9a44d7f9f191887edc5b427d819f73", "8bf53b6a162ce625d0fd5840dc41e1c845b929c4", "4adc7003141377fb4a854f948634599a823f898e", "898acd25d8ba5c073166fc38105fbb74128c9823", "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "67aa8c2e7fd5b079d8940ab4c5a8ab4013e45205", "1116e7ce6565b3c2f3bdae80b11bec166353a7cd", "8b6605aa3c52696992f39aeb5ef584cc1765e8e2", "4b004f3c524778d524bfb0cda923bc6e895f9ea9", "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "0a68747d001aba014acd3b6ec83ba9534946a0da", "a60146c458adfe9207f015d7a77cb7dfb54f744f", "c6a5c97a210847f6fbb9281cc87cf2baab042b33", "f71f3dd37793d7db809501e2eda47ca28052c946", "49664965ba3d988c327a05470fa7519f77dd639b", "cfec839f66000e45f6bf29af76e4641a30975ef5", "0c3c83b7f030fe661548d362ddf33f37bb44043d", "eb161064ea62eaf6369a28ff04493b47cf29cc0c", "0cf07a503b80f630c6774efb126df282a7c93f1d", "bd26dabab576adb6af30484183c9c9c8379bf2e0", "942f6eb2ec56809430c2243a71d03cc975d0a673", "4af21922090f8160c528d9aa77a169503555716e", "a0d5990eb150cdcb1c8b2967e6a4fe7a5d85063b", "089a5982768a077028d3675a615b32e67a12a22c", "424745b006491ae2caef924287e50fc6706c06ee", "278c9b47199701d75a6eb9f4cff9ea88fc7fe63e", "b897e41403edb987c218662fd7ccf7b0ec25382e", "4cc326fc977cf967eef5f3135bf0c48d07b79e2d", "c3d874336eb8fae92ab335393fd801fa8df98412", "52b102620fff029b80b3193bec147fe6afd6f42e", "6622776d1696e79223f999af51e3086ba075dbd1", "5e58275f36c81c8958968d10d14a24d8821f7da2", "9768b5245ee449b300d3da718a089e6a057a4e6d", "fc2d0660f3b49135209b567c09b1bb1d013ee115", "0178929595f505ef7655272cc2c339d7ed0b9507", "f2c568fe945e5743635c13fe5535af157b1903d1", "38d56ddcea01ce99902dd75ad162213cbe4eaab7", "fc6c868a91b480fb7e1fa300e071879929668087", "bd88bb2e4f351352d88ee7375af834360e223498", "1ca8ff064af16bd6b1b60cd7df416a1915d3b01c", "05651e76aea63ed00a6859b54e153e851e47839a", "010f0f4929e6a6644fb01f0e43820f91d0fad292", "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "c63f31a938944f55027808fb9afd4d6e0b8b645e", "92fb2cb7f9a54360ea4442f902472aded5e88c74", "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49", "1cb5547c3f5ff42746bf9c4e083795aed3c8c609", "db63bf0ea02ad561d6b97c6cf000c3954e428787", "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "5e8966e332a8cfc587fc116f71b97d6412a4472d", "b0f513aa41b5aeb9384f7375fbbf2030be526a93", "0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7", "5ed63317cdef429f77499d9de0e58402ed1f687e", "866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583", "90443ec362dc553f29fbf824b4d13fd7f26f2a32", "2fc8f46ed3e679fa50ecddd7e394235d6b983b4e", "8b6f94d27ee220d6528b735c39a2707810aa4646", "6ecb8f65ba1ede4877d75979b1540503e568303c", "25291c10213b6bec098e1611d145facfa5d2b398", "e4ca0b623d81a6cfa4ad852e9ef931980e44dccc", "c452a759042233ce3658bc734bf48535660f77ca", "0f6090015ce5b19ff5b7f58ae849668bf04fa3cd", "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "39c6897ed1a7157cd8370f2b9269f9cfc477d64b", "49a45e5e296815de821a6bd03b2b5d3c0da2cdb7", "2e3c8c8a413a317295bd44d86d089ed70a0b0c29", "666300af8ffb8c903223f32f1fcc5c4674e2430b", "36631dcbb9452ea3d35b19b2de6ef709022531a6", "b7216846c743d94fcd43e1b543c9d16ae11d3c48", "ceac30061d8f7985987448f4712c49eeb98efad2", "96f4d4fc345698b9b44f034c0d63b704772c8386", "d0b936f643f7462068517e0a840e775d6bd4abfb", "1e54025a6b399bfc210a52a8c3314e8f570c2204", "a42eb9e4c2506640446f07df3a9a0134752b00da", "fbe107b6e3437ffe33243480005c815eba3e02f9", "c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9", "23de28db3c90eadcd98554a68e0425cb6aac9844", "841855205818d3a6d6f85ec17a22515f4f062882", "aa246dd3999021ec733a56c3d4b7b6772ba007f8", "64a0323adf55db3d3de20cc2a8176961548379f4", "815dfb96d8ce15ca95c773b8f3dac08b355fa7bb", "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "4ab023f9bac5c85b829be95c905b6d5dc51820c2", "52516cf440eaf57966bfef2a6cc800163bd85793", "414920f15379a60bb4625405c85456c98e836f52", "1fd2655fd69a44bd9ca0d855521247d5620d3f82", "4a29bc00d1bc944fffe510713e3e8f2206c33fd1", "c82840923eeded245a8dab2dd102d8b0cf96758a", "bc6830fd4ac9307ddd323c5f92627fd42ac02ff5", "c06447df3e50ec451240205cefa0708caee8ab8c", "e9c9da57bbf9a968489cb90ec7252319bcab42fb", "c7fde641178549bbd1860144138bffdc9e800540", "cfef79c6ba4679e2c0ab902905701d39221b6f1f", "7559688658fbfcfea6829ce48ff6583d1c3439f9", "24301df85a669c86ae58962b5645b04a66c63cb1", "28b725d03845312c619e79932f3edbb47356e252", "55077b3293fe5f699d09df0675c2318109b4b90d", "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "0a100cb8a1accb69905374ef35c13f36c073873e", "df3fb59479422f82f1c2c6111392e6b425f928a7", "142b46642dd46566f7be8c6263dfc6bf13a8b0dd", "aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912", "ea3e3f62be20b9b11994a6308c79a286725db116", "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "5ea18f4f13835ea3413646ed676cdff411ff0c75", "4e444db884b5272f3a41e4b68dc0d453d4ec1f4c", "0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6", "eb7ac897c17003fa3d4b297c3a7937aa7b69f776", "9db77739a1b84c7a07c13a446684c9b63966f39e", "0321d183932ff1353d59e418847ff5bf8f5df5d2", "e60f58a4ea68d8f961b5d110329653b398fe5ec2", "95e82cf57bc67a386da57049453e6ee29cba1487", "67da607541b8e380c1665c2158e5e0dd4a6f0e49", "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "40000b058cf80b7983a2c0f96562368a40a04580", "a38b4eaa536dd2b709eb725bf2a2192b162cbf06", "a1a58f2f195d8da57a84176c1fd53cea34371fed", "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "76908c01966d1656a13de779955aded5fc1fed32", "d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b", "ea7d9a72e5f804567da3e9d937bd7d240c546d06", "1267eae42798940c105355a9590363fb6560595b", "1957bf2457f4dbac1bc226a16a751ad8f00705d5", "5db46dda9f0f08220d49a5db1204f149bd4f6a4a", "06b94b47b70c9bfcddbe277a61a9a802acd20096", "59c6c201e1e41c470c446e2762a156051c5107ae", "788b16995a689a918b7994977350e7db13ef96a4", "f257e3ac714cd8fcd3b22d7d27ac6fab2db34097", "830a532ca99fb9d8527dcfbac2d4003b4dd98eb7", "71424a706a2e4b9bc5fd049aefe83d73873c0145", "20c016843430bb65c60ea4011a9e8bbb5785c490", "7a0e9de471b25252afbf8cec566d4962538c5b78", "ef94ea8847cba51537a3df8f107cecb1286e1242", "bd825db9d9cdd0026a991a6652e8a4541c85c6b4", "5feb32a73dd1bd9e13f84a7b3344497a5545106b", "4f48c8653cd38cd18f08924c9304bc02ed7ea492", "bb39dabdbd18a241f0c06c54fc21e967d7217665", "3e3ce21b1ef9e4c7199522d2c923e3771dbae930", "b3e50a64709a62628105546e392cf796f95ea0fb", "6e9680fe35a752590ad2d750ba1aa2b387cba135", "6e7cfcefe82471a6aca78b59be0285467ce37b8b", "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "0e2e4b2deee91884d6da21c06e609b1f61270f70", "61b17f719bab899dd50bcc3be9d55673255fe102", "7fd358a0eba775fe9d87f165cb2074fa8fa762e0", "48a442646483d9777a2c5864a8e5f6d1a4851396", "788da403d220e2cc08dca9cffbe1f84b3c68469a", "9064e178864208cb0e89fecdc8d26b846ccc8e55", "75b32783a098b3173d44f27f7b8329b6d48f369e", "6f97f9959015cb0e93fba000ae468d22b4c5078a", "4ae7fb256d3251019f570776dfe34e8d234c6fdf", "58d96262dff8f28e59e66491ffb7f36f28af07a3", "2cbb8de53759e75411bc528518947a3094fbce3a", "01591390da1356b871aefe11d4bb92c1df5ba082", "9d6993f60539d30ee325138b3465aa020fa3bcb4", "1415c27bf7ddf4137d45f446cae6edfc9740919e", "c546010dd1547a8b904ac9d19c0b4e929a45c8d0", "dbf360fa9997b2918a8076f1d0df9a1fffa94ed7", "fac96b94671bd34c493db2a74254794786e7013a", "c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42", "8a5be2b370c5a1df06e1063b306b2874706c24dc", "bd41ce7362259dea758d84c219eeb0dd2f40337c", "571b04fc6e624b730f9c924e33a2cf6ea8049992", "db989600b1857cea9abd14dba9c10808030c7d33", "7ecbc1b186b4b2f6f6ea786572252984f1deb667", "5c8ad080ccb3f5e3c999c2948029f0bd005d5635", "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "3fd6503c5c5cfb2303dbf0844206221882180d7a", "d3219d8213b26e75141d53e802b5bca3d89a4e60", "c48ec3d14a223346bb50002176e9a04bfb385cc7", "76477d6f415a27938bdebd3f7de5a7c3328de8b3", "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "434c2c53af7b3cb3c0a47583a372fa3dc8143951", "e68c133947bbf14834f5353126ae85cc048642db", "799b9904f37a515a9614f6a92ff673c4c6e97a7f", "a50d2245d46ce0595ddbf25ae9acb8513aa70067", "97a25752c91538ae0d9d1f5db5ae97e2719b528f", "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "0f885fd46064d271d4404cf9bb3d758e1a6f8d55", "1fefb2f8dd1efcdb57d5c2966d81f9ab22c1c58d", "651e0593e76f6b536dae32337b4b9067d09f0796", "a5628b377efcd69043b158388203502e41266852", "41e7df687f07102969b3bc0c89c8197942da326d", "cbd0f4006df1b2661f2c3a711d95727d61756afe", "632d9b67c474aab18dc960d8a251b2030ad59bc1", "9a7c1562ed9a4be74ba3b02046469f8b32b9c02f", "40be718f23c163f12f88384a9ceb703578f89af4", "8ee02b8d375b21fe37b837e1a9288624f47c38d3", "655f587a59c835a7b6b5017016ea1c2123f266e6", "138f079382e2802f3c98c4c81218d413472c6d53", "d722ba2da54680a9add7db0e6cce2ce5ec5ab68f", "6d2892f82a89bfc81f9924adb8bd070fe007adf7", "a019131087eaca6d33f43d9b38d9bd177f89855c", "fc8fb68a7e3b79c37108588671c0e1abf374f501", "d7b10dc90288c6b4b41c77624f2805f4123e8f8b", "28453ccaaa89e46383e6164907d3e2a8f38549c6", "2ccb12140ffc642010b448e7b6f77b3f57cea497", "247a14b584d8d83a9191149011de2908a8da605b", "2cfdf540840a983907e957aacf68b405214c721c", "c92d6fdcb16eb547b3794a2d60cf04328fdd2344", "edfc222d66267709b66440c17e66fb08c69f2ba6", "df9a08016fa553a169d893ce2d3fca375bab4781", "3233340bbb770187cc870f01755a658d3ae92396", "890291bc2367e802fca871d67880bdc4a05374cf", "9976b88d15f89b6c82b16564735d489a7524821d", "db545026d0b42c2dcf935a1505a68edb36381194", "a1543975098f8ec14f4402f761eefb473100beee", "87a937dff0ecffefd8a7e4ca4ce068aca9731a0a", "b52ba1473c63e67031bb356151762477f99f3241", "53078a5692d493685fd2d63abf297a39b2edb36d", "12b58a712396bc2fd74cd19a4d758d7b9c104c3f", "ea5b90931a6e3d0801c1862aaafd42c5127fd83e", "9baf01eb53abda6a169110477f2c7a3492559368", "cb8a1b8d87a3fef15635eb4a32173f9c6f966055", "06d10f906ac9023b5566c70a2600384b8c1b24c3", "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "04384fc1b67e3fc6553aea9299589d33faede5a6", "f765c628c5483d7ad974a8605fdd3c7b4010ded2", "b83fa4fe617db200defe21a07f81aa8060587217", "c2e8f68f31a1cb75241e84d61f26263ff8904374", "fbdfed192ea0e6508d931b3d00335d99e976c0d7", "bf7f554ec8f5f44e9c942237effd282a16efecf6", "25a162aa22493a198e460f6be023d64d3b36dddd", "432a78fce47e2cc38fd742ab10cf80dec82ad49a", "719969807953d7ea8bda0397b1aadbaa6e205718", "c141b7c4ccb4a0e5d2a327aa260b318c7c3bcfbb", "37380f8247e7ddd77f0105914d97eef849b9dc47", "9fb32f4f332b6acb8eafa418b45650e54796f0a7", "d2f698591d8c7da36a2a265605e98e714d6b678a", "0a55824aa80e5a06af5bf8ba089b19db245471f1", "e346aef68ae6df61b83fdeaa71ded9ba0282325e", "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "e70ebb9971b1fece8760293e61ed42e2372b1d19", "2874e3b4bde2203129773f1a7baf78f0710c490e", "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "90eb833df9614da495712f4c1fbb65f8e7d9b356", "4d1aaf1027231979bb0cad6dc3e31e01925970cc", "48e361ac15c9c048ef20fbc8a60c21f0ef3e6885", "65429789a95b3026457de76d46b5ec94158ce10e", "5e9f01b44ffda34356dc15451098d6311335d7ae", "8a3d969732951e4d22c608d465b091b9272f03bb", "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "f54ce6b62e9889832d891f2aada677171d4219fe", "f2d2dd3db244dcbc6fb32ff9c01ed0cdeb3fd437", "10e78afd7ea5f70e192b08be8fe1a978ad89394b", "0bb078880758c023007950f1d7eea99e666e4f06", "7d39d69b23424446f0400ef603b2e3e22d0309d6", "20a1350815c4588a2380414bc78a7e215a2e3955", "40cf7b70c1b4e04c236a9997139c924d2292f505", "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "966a09ac570b043aebb7bd92fa116e8f40f50642", "ec2a887e02237e0b221b721eedac14254ec681cf", "1fc80a5bcbabaffc738222fa7381c75bf81d6ca8", "4f90acbfe479bad10b1c733dc7e6a174fd4b2870", "353436c53928bd999971694314a6f4ac80a196ac", "2bf37dd0ebaac003e67d11cc869e5e93b13dbd00", "9036f47a3d2aa6800ca50813846de8bd79f9cf4f", "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "e0ffda149d1d81fff507953377e08cf4f718d8ae", "697f0e24f24b016cef9474db485fe61a667f07b8", "30a77605282133e83ee5a35cc5bd9fe46534836c", "7f2a7d076bd2fad956dc5103191e392fb11adc49", "40a2287feb202e82634c225675c838d4f8875658", "1e17202d6de18d5e1965edce5fee79744b717d0b", "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "d50e47c59655d0274d60386c6627e2571242a121", "983f695c0ae44632182184f81579872f0353c6bc", "612da08d1dd16ac0a3b61151c6cf40b1e95b50c3", "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "968ab65077c4be1c1071120052b2e4b4f3d3c59a", "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "1f2b4b2670fb2ed83db817c95d52ca0e042d5315", "d1ade6a8c3a4c929efb70810a171c62a39e6f195", "c1de9803bd0072f017a97c0503308a7b9b4f211b", "57582fd607c8aad7245b497a6a68bc3a1901ef08", "5ad42766d7ba40ceccd8047f6810b9cf6ac79748", "089ad31ad5eef41bd179bb0a142d3386a8de5564", "7ba0bf9323c2d79300f1a433ff8b4fe0a00ad889", "e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49", "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "de09cb5eeff5e7a752567c009f7621dfa6ebb2da", "da30d5e0cf214c1d86f629081493fa55e5a27efc", "7d0ff6d0621b3846e8543bc162fd0215d8adfaf0", "dcc414adda5432011bfc53359075dd341b924910", "4cea60c30d404abfd4044a6367d436fa6f67bb89", "d89b7eb82a663187f63e7d69dca11f204c74fcb1", "f11acabdc1aa9fb8917431268f85746b88d88c32", "0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11", "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "2e68190ebda2db8fb690e378fa213319ca915cf8", "38d26057acdae8d66378db4b1a2fbebed0a14f27", "34f5acebcb39d844d3bef5cf4a840fb505bda5e1", "353a058f49a8c60b41e9cd28962f6060cf4f6646", "beeeade98988e55afe81faaedf06dc00848ec751", "12cd96a419b1bd14cc40942b94d9c4dffe5094d2", "aef55af11d8ecaeaf4c13ed765e74a3471ce9b7c", "6b6cd29c63d3ada53c7a7664248c6db8387da88a", "aef293fa9617a8924389b95f313540c1329cb2b1", "2e57eef707fa9c89d2a7ac68f55c26dea850c5ea", "014b8df0180f33b9fea98f34ae611c6447d761d2", "8dd9c97b85e883c16e5b1ec260f9cd610df52dec", "78a4cabf0afc94da123e299df5b32550cd638939", "1a85956154c170daf7f15f32f29281269028ff69", "62e834114b58a58a2ea2d7b6dd7b0ce657a64317", "4b3eaedac75ac419c2609e131ea9377ba8c3d4b8", "529b1f33aed49dbe025a99ac1d211c777ad881ec", "20b437dc4fc44c17f131713ffcbb4a8bd672ef00", "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "7c66e7f357553fd4b362d00ff377bffb9197410e", "8f08b2101d43b1c0829678d6a824f0f045d57da5", "710011644006c18291ad512456b7580095d628a2", "3d1b59fa0252e72afd8b107a1dac47cc2d5f8bb2", "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "9487cea80f23afe9bccc94deebaa3eefa6affa99", "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "33c3702b0eee6fc26fc49f79f9133f3dd7fa3f13", "0a1138276c52c734b67b30de0bf3f76b0351f097", "7c90dc1b0eb50900e38e796b5e18d50fb83571ba", "b93bf0a7e449cfd0db91a83284d9eba25a6094d8", "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "5da827fe558fb2e1124dcc84ef08311241761726", "143bee9120bcd7df29a0f2ad6f0f0abfb23977b8", "055de0519da7fdf27add848e691087e0af166637", "0de91641f37b0a81a892e4c914b46d05d33fd36e", "0ba1d855cd38b6a2c52860ae4d1a85198b304be4", "a812368fe1d4a186322bf72a6d07e1cf60067234", "8e36100cb144685c26e46ad034c524b830b8b2f2", "4c87aafa779747828054cffee3125fcea332364d", "7cfbf90368553333b47731729e0e358479c25340", "02e628e99f9a1b295458cb453c09863ea1641b67", "27eb7a6e1fb6b42516041def6fe64bd028b7614d", "6f2dc51d607f491dbe6338711c073620c85351ac", "cf9732deb856b45aa7a9b0e90bde885d7d8a16bd", "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "58823377757e7dc92f3b70a973be697651089756", "43fce0c6b11eb50f597aa573611ac6dc47e088d3", "71d786fdb563bdec6ca0bbf69eba8e3f37c48c6f", "193bc8b663d041bc34134a8407adc3e546daa9cc", "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "4aea8b8a733aa9a816cc53cc5c138876c0660773", "3fdfd6fa7a1cc9142de1f53e4ac7c2a7ac64c2e3", "48e77ff21d8fccccd9709b02f2de94b331c503d6", "c38b1fa00f1f370c029984c55d4d2d40b529d00c", "c570d1247e337f91e555c3be0e8c8a5aba539d9f", "e74816bc0803460e20edbd30a44ab857b06e288e", "0b43a712f055f788fd0502cac4455e254b1adbeb", "5c91fc106cfe9d57a9b149c1af29ca84d403fc7e", "47dabb566f2bdd6b3e4fa7efc941824d8b923a13", "4f51c4444a71fd13c4b8062a8835cc1241e7115a", "ccb54fc5f263a8bc2a8373839cb6855f528f10d3", "dda35768681f74dafd02a667dac2e6101926a279", "cdd5062627c7b331d64a1dec25989815cd9a4913", "85a32743d0f544ebf6d2edbb29a785073fccd634", "b91e9a1daffe112bec387d5017dd3dba9003adf8", "cfb3c1c395b146021a70ae9d5cf7c76854108a86", "245d98726674297208e76308c3a11ce3fc43bee2", "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "8ee62f7d59aa949b4a943453824e03f4ce19e500", "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "0ca2f48fad7f69fb415ecbb99945250cbf8f011c", "3e682d368422ff31632760611039372a07eeabc6", "49c5a9b23e06f5b99391ac5f34f9bf92d2de4672", "09b2e7af73689dbdba1547e19111a6ee06767906", "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "5ade87a54c8baec555c37d59071c6fb4a9a55cf7", "db466d02ec9f7f47ee11590d0feeb6330256c98d", "b480807e11bb4e2bb7ab6d70fefd03ab39901cf1", "a287643d3eddca3dcc09b3532f2b070a28d4a022", "19c53302bda8a82ec40d314a85b1713f43058a1a", "4f58c42856f1c23f15833d86721adae76215a023", "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "022d74ae2f8680e780b18e0cbb041d5c5a57c7a5", "7bd6d0bca27ff68621acd10d6d1709f084f97602", "7d7ee56f28688283ab9958bcc94fe88413fd89b6", "c351a76401c3f1fef420ce634c3e9a87131fa826", "484c2617471fd742c4806f9281e5add45c6831a7", "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "e4894a4d8fccfbe99fa065ab86d0203e1e447b25", "ce2fd44a8c43642b76f219fe32291c1b2644cb73", "b7ac537d97efcb968ca8e353ff5b0563e26b9dbe", "2bfe6128731674488249316cd2db83fe9045278d", "815e77b8f2e8f17205e46162b3addd02b2ea8ff0", "bbd9b5e4d4761d923d21a060513e826bf5bfc620", "2bc5a49e6d8351e276cf5b37fcc0a6eecebd5797", "0a3651647cb44b87ec8373ab4a1b53e2ac352bc2", "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "c20b2ec72ebf798e9567a145465e37a755fc34d8", "07d6238d8f8edbfe0fd2887fa0a7939735f21e13", "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "06101c79b9eb53ac1b85f8d8b556f02a80603465", "03ed6f09a29fe5d0dbf6d59798f88a5311c966d3", "d0f0eb3e7c150fb8bbba52af3347673f24d7c0b7", "80d9d4b5d7af67721212c0e9a89efb7f69671a5c", "6562c40932ea734f46e5068555fbf3a185a345de", "e1dcc3946fa750da4bc05b1154b6321db163ad62", "95aa80cf672771730393e1d7d263ab6f6d6e535d", "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "95c1a75417ec4aef764a93c3d98589d3a5f93c8e", "0e46943b2b12a8df6a62202651555a1d464cebec", "add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40", "e3e36ccd836458d51676789fb133b092d42dac16", "c91406fea53e869e431dc9a799b989321a66c9da", "271da47ce770f4acd2a9fd328dd2cc27eeefc6ad", "186e933fb752b5644b4ea6fa3007ff76b6bf125d", "1a0a06e659eb075d414286d61bd36931770db799", "2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e", "978b0c301383267a8ea8ce4f9a4c58bae236bdc2", "fa742bba58325af0c27083751ff1b8924e103973", "25b83cffddff334d78c55db4d67c65b1d8999b2f", "123286df95d93600f4281c60a60c69121c6440c7", "1b51e52ef178f138e74d055db009eeb102ad4f5b", "be0bd420b78be8dfc0aad65dddae10ff1ec30a94", "aeee02b8c8bb749a1203fa634407319dd6874667", "27043999be114bacb4d53fc6dd04316727986de8", "b6f15bf8723b2d5390122442ab04630d2d3878d8", "bf87e84403589f33b7dd076c6e34b0c7eb39a7a7", "a07c3e6fb9036aa0a04c37d065c49d2e4b46dbd9", "a54fcdcb02da0844d28b3191145bbc99675714df", "3886107ba141cdf506b3370c6443526b2b257bf9", "91ae3f2775bc53321480df63fac07998c3f5a0c9", "b613b30a7cbe76700855479a8d25164fa7b6b9f1", "f575acc7e71aa7c02b5d747b8ee8293fb4bdaf98", "2b62a643bced9cfb71e6bfb9c466aed21489a615", "4ef8462d844f92569b94d92d5a6f5c267a3a7304", "036c1d7bddcf704b213d89f66d9649a9c8e4f3be", "9f44dc7897e91a539ad97a4c6cab609213114259", "abba1bf1348a6f1b70a26aac237338ee66764458", "b29fa452d737e2b6aa16d6f82a9a8daaea655287", "43325f1459ddb03317adc2a2f83b44403028eafc", "77d929b3c4bf546557815b41ed5c076a5792dc6b", "ebf0259c7b95a9ecabe67507345742d45339428f", "bbe4d0db1fdb0da1a5550c889505020789e3520d", "3b14bdb0b1a7353d94973ef4c1578e1bd4a4e35e", "8746202644228a969a41085cb552e91dd13ef6ab", "6ae9f4dc7433ba3433b39ee932b22fd57922c2ee", "037e17ac0272b4db0d4761067dbf0ee56d91e6dd", "28af188e26836934c9beea8b2bc8cd53447197fa", "23afec5c3edf6c65fc28d360a82820d34bbdc8a8", "4398afa0aeb5749a12772f2d81ca688066636019", "ba597c956e5bba455f60276a1de92a12707927a1", "00f0ed04defec19b4843b5b16557d8d0ccc5bb42", "89d38db614621e925756db6e9b068fefd812d4a1", "548a0523c9e66b793f2145dbd05dcb4d32fccfec", "a5acda0e8c0937bfed013e6382da127103e41395", "102caab9bdf31c1bb4838529be45608ef29efbbd", "d54703c366bce363130f1e633e033a0116c8a0da", "d57982dc55dbed3d0f89589e319dc2d2bd598532", "c9b36584dcfd69ef8a765719d799090fcf0a96aa", "5d5533b8b95f25f63e07786cf3e063c8db356f1f", "91bda4b5ea44084f932523a12ed784ead126950f", "2a4984fb48c175d1e42c6460c5f00963da9f26b6", "834b15762f97b4da11a2d851840123dbeee51d33", "ffe8a4cef9dec30ddd2c956c2f63b128a4568f84", "3b80e625b3073be59ec0ca3bb846cb3e4c1fd426", "7b618a699b79c1272f6c83101917ad021a58d96b", "858ddff549ae0a3094c747fb1f26aa72821374ec", "4f3fe60e2c806505ce1122973a53da721a543d28", "b1b4b030b405b35689f6405e400697a2701e8119", "69291d44eb4fdf848a06defe99a74cb75026c70b", "832e1d128059dd5ed5fa5a0b0f021a025903f9d5", "f24e13dd7b70daaeca7a7395cd83c2ece4587b20", "a9215666b4bcdf8d510de8952cf0d55b635727dc", "008150576e5fa29fdf22d863605a261808800dc6", "99cd84a62edb2bda2fc2fdc362a72413941f6aa4", "48c0059feb14ca3deedfa7e3b53fbc34bd6d8efb", "8ca29760334b7bdeaa7ad7ae4ff54c3b24420dd2", "eef0be751e9aca7776d83f25c8ffdc1a18201fd8", "1dd56ce2f980283a9f167b9a84c3d42a47481524", "b82f89d6ef94d26bf4fec4d49437346b727c3bd4", "82a7bdc2ca2ba706446fb1b1c8696e0d0d7cc8d0", "8359f65fd0e0ada2a3de8aead37a6680b53de2a6", "0bbde476713458acbdbe86157bc5067b36cad2ad", "2ae40bda27db2da1c05f3e71ce8d1c809a909bbb", "1ac2882559a4ff552a1a9956ebeadb035cb6df5b", "ab041f1ce47627ef8a0165169bbb226e7c8a6fee", "8b4e353fe825725b53fb42e4ece889b7716d5b41", "48d784e556646cf1a42eff051cb2083a2d8e3234", "35c0954acde9c86df8bbcb6edccbcd702796f5eb", "0f5275b472344dbfc4a26a9ba73dff23844b7e84", "b2b535118c5c4dfcc96f547274cdc05dde629976", "7ada60106605bebb66812f85eed16d64d1acb972", "428d1777846efa8e86b694791b8dbf114e188f30", "0ddf59fddd97a40f77ba169298bde80cd38d0d82", "e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf", "f898ac4c468d46fde9f6393541759cb8d22a0ce2", "d8bcd7e5764c0b749e0aeee5569db1a9dc3d54a1", "20260d36506911e04ad1efed1e60b06bfc178d52", "39c48309b930396a5a8903fdfe781d3e40d415d0", "c570f70459af243af9ca73709646239d82d07655", "39098c6c2b365605b16ca9d5f67fc0df2c4fe8c4", "fed90d84dc199d7bd996caddd1cab26ded89de98", "f472cb8380a41c540cfea32ebb4575da241c0288", "69a26a8d376f84ea965f858d181e878b82a47e6a", "459960be65dd04317dd325af5b7cbb883d822ee4", "1586871a1ddfe031b885b94efdbff647cf03eff1", "76fd59062e563353097694d38855e94efbd53143", "833b6e61468fe655b5067ca91608fc37246c767b", "24f3dfeb95bdecdc604d630acdfcafa1dc7c9124", "ed416bf3e3a5d8e1259415eafa9ae20caf25c870", "1d59ffad091a5bffa5fe935b79f5bfc08d2e802d", "cb83430c8427c4c57cf417f131b410401d64f232", "dd6bdc336a8cbcde80725922b637617b5abb26af", "04f0292d9a062634623516edd01d92595f03bd3f", "9790ec6042fb2665c7d9369bf28566b0ce75a936", "7265e367f2ac9aebe2ad8ec404da1168edf8519b", "0021f46bda27ea105d722d19690f5564f2b8869e", "47d4838087a7ac2b995f3c5eba02ecdd2c28ba14", "598744c8620e4ecbf449d14d7081fbf1cd05851f", "8da11cd99ed1eddca4d245ed16f4dd5d24d3cbec", "f9bce7bd7909f1c75dbeb44900d374bc89072df0", "0d3d290e93ac76d5ef2d6c8bbced79fb3101ad36", "f79ab9baccd466d86460214c5cee9f3be0af4064", "0ff71f1fadf4c35924e93174556e0a63439d94b9", "6afccf6c6cebfaa0579a23e7cc7737837b090f0f", "77ef2ccd6a1a3f7ee590c688e841ed78d892d4dd", "674fcadf1b895e3a79380d3ac5afb43d406fd31a", "c8585c95215bc53e28edb740678b3a0460ca8aa4", "7e507370124a2ac66fb7a228d75be032ddd083cc", "aa5a7a9900548a1f1381389fc8695ced0c34261a", "6dfe0dafb4ed4bcfce670f321e724682ab261060", "05487784c1c94e17c26862e342c1b81acfe11258", "5083c6be0f8c85815ead5368882b584e4dfab4d1", "d62356b0b6490aad238adf0a29016140245735b3", "0f4b902a2e12378e0ac0cb6fff7dd4c5f81e2c0a", "c5858199b7703bf55f1772edad4856ac908f02b2", "a2550ec2abda71e6c323babb196f21e4766c891e", "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "d52edd32144eb9a14b635a5f612cc063d9129a20", "6b32c89af605d42d166d3674fd7f56fbc5bb7b47", "3719960f974173f23b88a207a42d67d7a393a89a", "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "0986130d760cc80895397f277a3254ae53266243", "e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028", "49f22f29e57f5867b47348555136844ffa6c6603", "9170443fb0e6a343bdcb68b3f49ae8e3abadfb48", "0155c2921f060a95c0eca8c64bf62a1eaac591e4", "097dc32f712550f655facf74212a70ce3828d98c", "22cf367d14e646914cc959bbcd402df0c20cd0dc", "1099d475ee0807fc0e4aec55b636db4abc01dcb6", "c48c452f26e54f37faaf025ca3c76b33ce3e40f6", "ed702537d487de0737582f7ef7e937f4fe9b28fd", "32a336e2a99eb113eeba7cbf622b463cd46d3138", "795cef320de562836caccfc6c6d2b99b3f38fc8f", "91dda4183c6118de8195e07a623962dbd22cc34e", "39db2ff704cc30a7e94989de33ff4290ea4a6df1", "0b61cad6ae6e7ab99f2e3c187bd8530da71f10ae", "e6540d70e5ffeed9f447602ea3455c7f0b38113e", "21913787b7ed62773926a287b60308d1960e6966", "f19f875c535b940cc642f5366925e92ac3caac97", "7804dc14a7d57cfbbab584c3fd7a111410451b64", "98af84d3a97c946369670a813f4399e36b20be62", "8e31c59c973cecce1a7ef114344513d1b6ec9001", "439f3a865dfb7b42c600a095a6fcee1c1f4768ad", "5383473d1a669beb0089f72a9a5075e943f0270f", "76b5ce50ab603a6d175fd21f4b1404dff3c897c2", "5dbac0b5e88c4af9a1adb4d482e74d0ddfe26844", "0ad344673a12c718637c851758484d7889125347", "416f9e0f460bdf57b5889472049324b5dc26ed89", "df8cf73dc6c026300bcb1d96db731daeaf847252", "cf74dceae075bde213d2aafad115d2afc893c21b", "29e0a79a31e9d8c8d586c281e5a0376c1911df65", "b810ee6da48d3778f5b4dba9088706af1169edde", "2bdba44420e400eceab79f02a8552ee97e940225", "9c3b9dee9da817134325357afbebbd1a0d67cab2", "88c564ea1148cecf903282eb0976187075fe2144", "ad60b6d777ab5dda8a67dc4bdf974abec69d258a", "9f7aaa10067f8e10f87169be1a3d0c153d979157", "d08dceceafc28e2533994e94842411aa2924f28a", "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "95e4f000204a3a6bef97af7328a63992b1b3d7c6", "fd56132a1fc505d39513994cd97ef4429aebe9cb", "027bdb0f502cc61b73be32427a8dd56e213cc2b8", "f5d0e8a329c2e9399ed311d9b68495c89881a26f", "f08266cea120e8aa091983da5269ee5e35febe75", "3657e84a673233f6783004c863c38b463c1f74ff", "5178e164bb5b504141ad5ab1213ed391ccc70c5a", "80e0f776604be5bd72381479b8dcedf98f82d470", "810cb76794fe11990cfe30f48faf222f7469ce3d", "9b6edae11ee8f12ada2bfc40ea6e871de2eec399", "b91a7b79ba6216c2f18ae7ddaf6f97f46f015ddc", "6ceacd889559cfcf0009e914d47f915167231846", "9729930ab0f9cbcd07f1105bc69c540330cda50a", "7b931eb8c539a75e7517ad57eebe1780bc5960e4", "b1e7a972049ac05db140d3cfbd6f946dc3f20cc5", "59b71e19819c1c6aee98020b34bf92e605f33819", "f3fc96377dc3456948fd3431ce940258926ce04e", "79d1e83e6af2ccb6aa96896547d7de0b27cf2e70", "032c1e19a59cdbeb3fb741a812980f52c1461ce1", "06cb0939ed5fb2b3398d54a7fcdb865fe53f414a", "67dca0d4b87ab2a4f18b5a1ef76f6ba17b599245", "a105d1ff8d42ac3ef4a59718a3fd214700c9e3b2", "46f48211716062744ddec5824e9de9322704dea1", "ab41364a58b34844b281046c3d8678f7d537a97e", "eb3e0a14851b681ee254ff0c2be5c6b29025c823", "20eaa3ebe2b6e1aff7c4585733c9fb0cfc941919", "82a1c84c9a6add84ab1b7df48917fd7616844e47", "eb0e5db282f88d47b65f98df70c2e7c78b8647a6", "a22f27857692fc4d78c7f0b0126676a4c0ec3985", "e9c9606bb8678c1a74b570a4be8c19944e8e817c", "a0e5afb1237d47f7a8ac66e7b5ada24cec5222cb", "a3fe284b029269ad5f071dd37bb137593c67dfc2", "6d79999f8dc0cb9f86a87eaa2eb313a4eaeb2e5a", "94a76e349e43f09c863a9c77e47722c5ade3740e", "6c73ca2b877d333157c136cdd3f5e96cd8909cc7", "41a21f4b272a33e71b73e2d533e0d86875aecac9", "004e3292885463f97a70e1f511dc476289451ed5", "903cae123665d885aa82b7590db0d323630d8d88", "e9a76f501ae3b2dca197f4b273aba19826dd4113", "e2b8ba13586bb9a96e4813472d1f763d37ead47d", "a9acda127ca506e1b2a4641eab1bc14292b304c8", "b1f4423c227fa37b9680787be38857069247a307", "2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb", "14efb131bed66f1874dd96170f714def8db45d90", "111ccb406a68d3fa898d65e059d1c8dab71f26d6", "8576d0031f2b0fe1a0f93dd454e73d48d98a4c63", "9f62aefceb988dc036146506eb5a31228be1f9b3", "1ab881ec87167af9071b2ad8ff6d4ce3eee38477", "f2004fff215a17ac132310882610ddafe25ba153", "59b83666c1031c3f509f063b9963c7ad9781ca23", "4dff129a6f988d78c457ece463b774c3d81ac5c7", "ffd152065390103497e29f00acc040567e1481b6", "d8904955fa93ad434f5156235ac94452eec57f64", "22894c7a84984bd4822dcfe7c76a74673a242c36", "181708b09bde7f4904f8fd92b3668d76e7aff527", "0568fc777081cbe6de95b653644fec7b766537b2", "298c2d1ff57d2164792a68f0d93ca2c257dad288", "15810b5057730a1c7c047d47f42a94dafc0fd95a", "57efdcf4d56f15846c9c5104ce2cd414532ced7d", "49e541e0bbc7a082e5c952fc70716e66e5713080", "6813208b94ffa1052760d318169307d1d1c2438e", "ad0863aa16301d7c6617f8b965a64cf58f38594f", "204f1cf56794bb23f9516b5f225a6ae00d3d30b8", "fdbc602a749ef070a7ac11c78dc8d468c0b60154", "2c448fbe0a563288834016b76c299b2beec0e0e5", "a70650358cc226e7f613b49f93d7eca044ca608e", "7782627fa2e545276996ff9e9a1686ac496df081", "336cc45a886874ea9b8f609f8c3cf0a4d9b6de7a", "13afc4f8d08f766479577db2083f9632544c7ea6", "5d7f8eb73b6a84eb1d27d1138965eb7aef7ba5cf", "bf37a81d572bb154581845b65a766fab1e5c7dda", "2f95340b01cfa48b867f336185e89acfedfa4d92", "05580412f6c90bb5bc14b714573d4534e3edaca9", "2f0e5a4b0ef89dd2cf55a4ef65b5c78101c8bfa1", "20cfb4136c1a984a330a2a9664fcdadc2228b0bc", "25728e08b0ee482ee6ced79c74d4735bb5478e29", "0ce9c3a2fec2bcd1a897c7ed1bf34cd68e6af89b", "b97f694c2a111b5b1724eefd63c8d64c8e19f6c9", "6e7302a08e04e2120c50440f280fb77dcd5aeb35", "2cf91c09d648d37c9833d9763721fe07213ae985", "2ae139b247057c02cda352f6661f46f7feb38e45", "4354a944535df5e62a2691e2f5c0567c2fc3f322", "49ddd4adce09b35f28aa5f79c0f1e1cdf928db45", "4da4e58072c15904d4ce31076061ebd3ab1cdcd5", "699b8250fb93b3fa64b2fc8f59fef036e172564d", "6d67a7fd9a4fa99624721f37b077c71dad675805", "8fe5feeaa72eddc62e7e65665c98e5cb0acffa87", "82d2af2ffa106160a183371946e466021876870d", "779d3f0cf74b7d33344eea210170c7c981a7e27b", "116f9e9cda25ff3187bc777ceb3ecd28077a7eca", "c84de67ec2a5d687869d0c3ca8ac974aaa5ee765", "e14cc2715b806288fe457d88c1ad07ef55c65318", "f073c3c86c325d5692f83a0c7226a2bc2f6f8a2e", "8f52a66deec46ddf25e93a83e48784790d5b59fd", "29c16d421385d3ea205c2cc4047fc663848ca67f", "4a2ff05ae941fb4cd3a65e74e1008820515c177b", "7a0c93d7cc75187aebb1a42772c79839c8f681c5", "863b96896ffa920bf5ae6f41c4997741d47c3e17", "92527ace7f75188b5ec209ff7d59f431343075e4", "de877f1d4749973fe23b1f4de5cee91550284812", "e862577cb654c33c4817c31b445264614485413c", "b80b9a58f06ca83ac643ef9eef32cf0fe424a476", "7e2602f7572add68636863504bfe9ff271f3796a", "03f4c0fe190e5e451d51310bca61c704b39dcac8", "2c285dadfa6c07d392ee411d0213648a8a1cf68f", "05020c51c11e3978a553581b026b7d94d92b034a", "e74696594014d70678f6835a948e49e8fae7bb5a", "98e64a5377ba09356fb191283f406708be7546c3", "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "cdbb354904bc05129fa1ded42a4f0c793dbb3de1", "2624d84503bc2f8e190e061c5480b6aa4d89277a", "45d9ac0ea4cd1ea91e98975b7fce0169089f25fc", "520796fed11df39bba7ea03844f4f465a6bf0655", "c18bf07d5161d6ca7afb6eb5a4f385b6bd2fc381", "6d403c9ca96ace8f3f2ec6de8138cea365a76610", "5a7520380d9960ff3b4f5f0fe526a00f63791e99", "9cbb6e42a35f26cf1d19f4875cd7f6953f10b95d", "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "04b08a2735eff524f17d3f1a63eb7fc6484d4f83", "f1100a7b95a65091cfb7d5c1d25279a31bbf562d", "c1764ccb75d19bb2fc5682dcba4d632b2cbf4bae", "e585dc6c810264d9f07e38c412379734a920714e", "eac2a468de0c4f241fad7696ca930bb2e11545b3", "ce6a6d35f65e584214aaf24378ab85038decddbb", "0d3068b352c3733c9e1cc75e449bf7df1f7b10a4", "6f14be41a36eef88889fc6ad966eda4ec1c1c6dd", "10f2b8188c745d43c1580f5ee6de71ad8d538b4d", "6d10beb027fd7213dd4bccf2427e223662e20b7d", "947cdeb52f694fb1c87fc16836f8877cd83dc652", "03c56c176ec6377dddb6a96c7b2e95408db65a7a", "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "c270aff2b066ee354b4fe7e958a40a37f7bfca45", "96a8f115df9e2c938453282feb7d7b9fde6f4f95", "3cdc307dd1a4f2f30b1a3721f5f4d9aa4f7ae4a1", "b8df2c2fa02a37d09b73277ca4edde654ac80953", "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "540831094fd9b80469c8dacb9320b7e342b50e03", "d082f64b8a0a07d105207eb822be58ffb61b353a", "1ef6ad9e1742d0b2588deaf506ef83b894fb9956", "1bcb1c6d6cebc9737f9933fcefbf3da8a612f994", "3803b91e784922a2dacd6a18f61b3100629df932", "57730f7a3ba2439207e091ca2b2e89dd453cef13", "865d4ce1751ff3c0a8eb41077a9aa7bd94603c47", "46312c80e0583e956ac351615d73e11c21749c4b", "9a64847d25de4e1deeccfe8d7ad45bbc7e332fcf", "b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2", "08a7dcfaea52c7fc5e603273f0d5d465acfc5c64", "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "af278274e4bda66f38fd296cfa5c07804fbc26ee", "11269e98f072095ff94676d3dad34658f4876e0e", "cc4f29647db7b7d4fc30a66d63a341c20adc8840", "0387b32d0ebd034dc778972367e7d4194223785d", "afe07027632430fb36d8217dc4f22804866ac6a5", "91c3dd75f6bb3e40e575b851b235a2a26a2f779b", "36c5421d477697a8692fe6a51ce62473e690c62f", "3b44991d1c9f51eaba02c86d8a0efb539805c204", "51ab92566306c2f26e8415b451f3dd1f83f59008", "258972e9df3cdf0b8babbf607eaef7cce689226a", "a4725a5b43e7c36d9e30028dff66958f892254a0", "e71bf6c404cc9634ab2e0bdea3ee517911012001", "b5f3b0f45cf7f462a9c463a941e34e102a029506", "0573f3d2754df3a717368a6cbcd940e105d67f0b", "2edc6df161f6aadbef9c12408bdb367e72c3c967", "1b300a7858ab7870d36622a51b0549b1936572d4", "0a23d374c6cf71a65e845569230420362fe4903a", "d29cc6d2007920beaa47b24d222981a1e6802ff9", "04c07ecaf5e962ac847059ece3ae7b6962b4e5c4", "300fd9ae3bb33fba3e48b605e49d59b3ce3957ff", "389266c1cb73a7918d599be659d91e7fb7f431df", "d90026a9ca2489707aff2807617f3782f78097be", "d8afe2ac486762e37dc6616606d38b5967e9618d", "07a8926c99d719c4f4f6067e4479e5d1f598779a", "825198ad69b2203997341fa903ce56ea28451644", "34c2ea3c7e794215588c58adf0eaad6dc267d082", "0ed96cc68b1b61e9eb4096f67d3dcab9169148b9", "940a675de8a48b54bac6b420f551529d2bc53b99", "88ad82e6f2264f75f7783232ba9185a2f931a5d1", "935924ddb5992c11f3202bf995183130ad83d07b", "83fd51e4938ce22671152e8c63867d07d0c41686", "0931bef0a9c8c153184a1f9c286cf4883cbe99b6", "03333e7ec198208c13627066bc76b0367f5e270f", "54e988bc0764073a5db2955705d4bfa8365b7fa9", "5031ddae98622adfcd71ce75cdaa3954dabbb0f5", "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "fb5f7d581c0d7561e83c6d77c3df6991641cd158", "abd57ead5ca39a6adf02e1bb1e5d1fe0fcaf717c", "2e12c5ea432004de566684b29a8e148126ef5b70", "93978ba84c8e95ff82e8b5960eab64e54ca36296", "1afbca9f7011ec659db9cb3692cbab5b5e38499b", "0a9d38f74095c6840540dabb00c754f4b0c2d131", "a8f1fc34089c4f2bc618a122be71c25813cae354", "eb4515c58ba7446797b016be9db64e800c2fadd2", "c68e7986e246087befcadfb0032c3398d9114ce8", "6278b2586a1240e3184d8d9c26e6efb50e55bc30", "23b466abb866e3f160f4573a69666f861aef59cc", "ad29afdbce160d3749a3685da75bc35b16d64b95", "616e69647b02e69cffa7eeb83cf3e72b8c532653", "0f0cab9235bbf185acdd4f9713fd111ca50effca", "4eb8030b31ff86bdcb063403eef24e53b9ad4329", "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "912760092c200d1151900ff0e34acb113de43c3c", "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "6b6fcf1220ea100aa80004018c78b137289d3c50", "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "06fc643a48464fd8280d11c1189f49afacbd43a4", "7f5793c967d53d0a3e88e8bba895336b92d5da90", "fbb4f4959756798aabba8034cb3167756b191811", "f35953687697b3455fe89b1f07504daaa6ebf4c8", "e58434a01c45505995b000f5e631843a2f2ea582", "193a69489230de1013dff9af1232e5379cc5282f", "744108530678ee667b9c1220933bed074794d9e2", "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "4c5d723dd83250c6b289c94318717de2d373a6ed", "0bca0ca7bb642b747797c17a4899206116fb0b25", "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "334a8aa8664637a74217aede4c368058640a8203", "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "a221588fd2d062462254481cfd9563fec2f7c387", "67126ad0af544740c455311d08cb180aec830a6c", "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "823db813f036365cf9b22b2081ec167a2b582532", "f4901354f843b058bef649d14a9fc67c51943da8", "5a0209515ab62e008efeca31f80fa0a97031cd9d", "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "2c9c597ab660815e07980e9655c3c5989402205b", "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "23453a37beea310b53419be45fe266bcf243ab49", "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "18fe63c013983bea53be7d559ef36a1f385ca6ea", "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "ff18125a8f549135e6320fed91d0002bd2dae635", "5075c16908a72d506aa19e10e12e79ed9383db48", "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "73883181800edffac983fb110233dd5a50a10c11", "3e50e351687779c05390daf117f0394d1556cd3c", "06443cc014711e2e9cb6b8625362b022826d233e", "d0b083befa0034bcd4a1349336fb30158157e6d8", "065f05c9cb2a6080191851dd82cd9b439a77499a", "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "0bbb40e5b9e546a3f4e7340b2980059065c99203", "4ba503d8f173880d8e8402808f54b78b653e5d20", "f4c42c58c6649538c85b85b5357b29793798109b", "23834ef411abf22da58d5bd1d9c1cb2896713f62", "03a2235fea70317461222fac05e38ee35ead9711", "48674565d0737bb422406d757c02042759b635ae", "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "4896c9f6958137c88db29a3a707aafae3c29d106", "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "46971fb6caa61c606b046da855be4e196a830ccf", "1a20ddce2349bc995dceea66cd2378f8888c8027", "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "9089280062cf40870a322d687c2850d45c02ebae", "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "7675774227157bec91218d6798680f58deaf8bb3", "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "cf384eda31030a45238ebd8356ace7600da5076b", "9f4078773c8ea3f37951bf617dbce1d4b3795839", "280895aa15bc8308f919d4cad666e826e82608f4", "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "83acbf0bee402b0472ff101cee5942f4137d91c3", "a7edb6726667875e3ebebe17065779be7cbf5623", "3b4f6956aba3c0a8c444349868b2263d3124aa66", "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "0547c44cb896e1cc38130ae8cc6b04dc21179045", "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "393d34faf86df2c9d8246a7d6ba669133fe9207d", "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "d13c01d8218ddc744dffb040a8dce055ebd3000f", "64b9675e924974fdec78a7272b27c7e7ec63a608", "8680cec120c3717c2178aafdf45186fd04d49875", "4980511ea7ac286b7fff0456216425287bc9a083", "b1369e4785dd0b23f89ca76f45468049c8667863", "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "a609d96399ea52d4d1026b416f181581af0e6fbc", "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "f1d8c377093ecf64afd7f17383738e81666fe5ae", "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "10f13579084670291019c6e8ef55f5cd35c926b6", "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "c17b85fc95591573bc356650522d303f8d76aeb9", "12ff1c48f5776fda9d156c7b324af3f2674420a9", "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "78611941ba25ea5e3d850a940c9e3a293798a08d", "579f0108283f119227de6a485069cda3c7945fa3", "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "09ae02eb0359363134a7a5ca912ea60769b07031", "9d67f5adf4497ba99201d318cfbbed07e926c05b", "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "0caef87116f62fcc86735401a9aa9d4e170ffbef", "806aea24148fc2ef851803c216a0a25894d78bf4", "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "c43c6fd93f1d171487ac2d35d4744199db69f244", "848db2f0758c314ddbc0bc4030633501df3a9276", "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "3bb1c6290b208cda17f1142215c952e40761769d", "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "f865248065b8d6bcbce4a4053b73e4de2080ba23", "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "e0e19769ad446c2a74c0616fcfb551059c899ce6", "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "4aa286914f17cd8cefa0320e41800a99c142a1cd", "eea9994c71831219aacd537f5f4ab8a91110a7e2", "bb1625e1955e9453221244b755539929ca86b4a3", "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "732cfdb92061c660ce55743b07bdad6657c4aa5b", "472de7b3c674e8f06702385569779d11b71bc8f2", "73818ae13a89c2377c30cdb029fdb7e490fe5367", "205e895e03969c96f3c482b0bd26308b16a12bd0", "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "6826ae2e1598be376f5b64f302172bebc57b64cb", "dc5fc803b64b49217babab378efe29f35b697d2f", "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "be99cefefa264f6070f56f1fe4c07151e360ff3a", "d3edc100c6577abba414f6c0a16e4c3921e68bff", "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "ee42895807a375adec78c8221ecfcba01b0cb7ce", "c5632e2117d268159225d5c307b7efbb6428ccba", "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "0585a2f480e9fed934e415bee8e03e5e13abf035", "5eee4151201258ca75202057baf00a9774ccef38", "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "b6946370d6c13d562b96e42d494817c7d1969a8f", "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "6bb19408458dbae075be7f1612b969b565b4767a", "9ea7205ef136f207123cd6b54e15075835ae0049", "191beb87f84326d2cc9c427efe2a5abee8f67574", "5020a75c45416073d0b07b1deb7382bc80de1779", "a73c551da8d69f04e2be7c3f5c7125532e194935", "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "b8ccc5341a1b0214e9d155b019962023f344c2ee", "8d2459ada191d496eeee70f1e817d0ba92075160", "09dace372d15fa3381ade36f5cf892b5ce15a982", "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "54830a1cf8606a5183561357b4004088718e4141", "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "44a3ee0429a6d1b79d431b4d396962175c28ace6", "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "8047586d2223f3076a1fc028197f54d0997bccfc", "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "b1045a2de35d0adf784353f90972118bc1162f8d", "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "1426045c4188f09fec46d0d2f246357a230a1748", "efe133717899b41cd4c0b0c999da312d3af60a6e", "9caa7605c16da42761c8a27327f5f037dbf901fa", "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "49d83e2fc70dc00130ac9eacab498a96abaa0300", "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "a5683661e80668e05170bf17bcbd754d1b07af74", "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "575a0e97702edcb0621a47b574949bac50e34200", "7fdab95ff454a900c710f464c1129cd173059912", "8ec2485e616c935aa82645783096abcd25547cae", "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "bfea962697e9b445b89a865b465ae967dd55b4fe", "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "3d2bf56bf8efb0459c0303526436ac320d237b13", "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "b54200cc65046e1d29329bded3eaa741f45063e4", "90e36f66c25a4c73a252102c6c6c329c36d82676", "ee098ed493af3abe873ce89354599e1f6bdf65be", "0c77f42e8d530b542a534087b24dd8a21e8781cf", "e64fa00da02cc774559db5be88bc2862afbfd432", "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "0faeec0d1c51623a511adb779dabb1e721a6309b", "5ca467072ec40acb1b6bbf59f1119300741c0aba", "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "c4fc07072d7ebfbca471d2394b20199d8107e517", "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "13105c611a059b4825bc92ff9778f532b6a849b2", "0967341790643f680f3fc9dc87bfe311723be4e4", "a8bf49021017e19df051a3efb7337d93ea263e37", "8ff7743abd160763dcd12c8404d65477339a0e81", "347ce37f15cea5bb8d0a676562664f80e3609b78", "ffc2f8c1bf568b913427d1702d75306311df3d5b", "a05b7a206c86b3928746cce935f6f85d534a43cd", "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "50612493253f5cea7ecf406e9a8d75382b96a83e", "659fc2a483a97dafb8fb110d08369652bbb759f9", "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "35f345ebe3831e4741dcdc1931da59043acf4b83", "051000dd99635b74862b4b33f6dd84aca34f7471", "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "bdfb5f11d497b44b17d0315c3b6892f835723832", "14a3194bb454f1f2e3fc1452045ac18c69959368", "43fe9006b90137d6ce85a539685ce66c13f0e38e", "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "0c2cb193274217855000c98a02488885571b55bc", "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "95f4b88d4b0a725d786b34558b60af47f5442230", "642772c38ff690d17a3ce84a1d8646aefc802139", "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "7653af14cf2b220da07252df585c443985ea9f8b", "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "15ec23ae3007c8474149777e6f3d9974dd392fb5", "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "02f90eb252ab3bdab420690570b16effdee53b3f", "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "fe1f382184505cdd9c8857119b95974b8396c3d9", "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "9b6538d09e914c41345812b3086feff1dc1ae218", "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "16741cad4175adf065d6adbfdfa27acdcda2b26b", "13c0c418df650ad94ac368c81e2133ec9e166381", "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "db9644b48ff890fd76c377192faa1e60b72c0120", "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "777487da0f738161e4283042084b85fca4a82487", "7f415aee0137acab659c664eb1dff15f7b726bdd", "6143a034163e7c8b533afcbba6bd1c48631ca77f", "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "878169be6e2c87df2d8a1266e9e37de63b524ae7", "3daafe6389d877fe15d8823cdf5ac15fd919676f", "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "ada42b99f882ba69d70fff68c9ccbaff642d5189", "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "52684303004d2a9849e53a111cb847d05156d73c", "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "9434524669777d281a8a7358f20181c9e157942e", "0e0900b88c33b671be5dd2ded9885b6526d6b429", "4d910c5ab0b70ddbef6be944077ed63821608135", "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "07764e1607d9e3d8094455adb658077996eb38c4", "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "b961009dedea99f948650df7291a28f18bbfc1dc", "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "d4f454b24a7901dea14858808bbe277c7bee8ffb", "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "86824ba374daff17ff2235484055b3bb9c464555", "ba6c19771926564e89be4ace7c33dc3da580249e", "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "70d71c2f8c865438c0158bed9f7d64e57e245535", "924f931aaed2925c9d9becd0ec76c512fba8274d", "447b28c347172c6da0fb4d764a534fdee557b7f8", "782b21e803d149955c627c063ae60efeae04a9b1", "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "72048081cfe678f700c52e1c7a56713a8e0865b6", "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "7fe203374ba3ddc8462a7c775b276e53f09dd036", "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "ebf35073e122782f685a0d6c231622412f28a53b", "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "3640bf810f4cc3160c278763663de03bc5ba6bb9", "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "37314dbf2d7680b0545223abefbb58cf476273bd", "2a7007555f71e559c6aa33efbd3bd8b401638d82", "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "d86cc655aee9596de5e0db001275c6fee495eb08", "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "5b0b675416d0603008d5650bbb259f8ab230e8cb", "8d73906f0a232e8b94200017e512446c1af4dd9d", "497857bce6ea1ed4889fb949a2f176072e2509c7", "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "1d5f704a98d82c34de96ceb80fa06552082effd3", "ce290c46257f7676147b5cfe4c104373e4fca13a", "18b4a20ed465972d9d8f3f8d8982d321acf45907", "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "992a614aa601c52b20729538ea25b62471ffe8bc", "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "53822d61e829ef02a95a6c89fea082114fd3e16b", "7532996c27b199ed89b412a9f0df7483df83ea72", "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "d764fd52625933692843941825845fcd5ee27f0d", "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "1ebb95859f0398cac9a957c61f5047f268ec89a3", "478261574ddc6cf297611000735aa9808f8f0030", "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "572785b5d6f6fa4b174d79725f82c056b0fb4565", "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "2d34052aa801b2061670be0a39f59ae51b5e5866", "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "3785f701a53ab0c8baa9b76c75216944361943b8", "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "72be36fce39e2c04ac1f3e3995b39559e226fe34", "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "52fe6d952ac0b6888b65293acfaec6825153c955", "030646f4fc694ffea5d4f77203cbbc5d02aae797", "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "21462ab847ee919abbd862c1f86b7c13ad34d519", "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "06f1c079303937f6022e6157e6341c7921fe9428", "038e2f45575c234358325dd0dd16421136882191", "5570388d982bebe4eb80f1eb7348e353370a5ebf", "285b27126e3e6d51942e8a152581a59110a9feaa", "333b877ea761c5c1d4ffa39654fc19bd015e245d", "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "35535b2b03a9fcbcd8c09f753e1a69c977add020", "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "c0c3e0161a1007a5edf701a6b4a201ca06922559", "45d45687ebca6281d44e477cd012a1ef48ebf286", "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "6b8c4082cff10a893efa172da0ca1d31e166be0f", "ec25f39fa6b4ef4529981a1ae051086e93642d27", "4446924885545b255164b32e42b8375bac699f23", "da082139f303fd36c160d91acc0949c005dd846c", "fc2c39b6439623c00b10e8d9826b1c82e8487805", "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "0d760e7d762fa449737ad51431f3ff938d6803fe", "d802b6f76288e62f9236d13c59dedb94453e6915", "6342c679becb63aed72a9c7cc2cf3b217adcacee", "92cd808bba43c3702d8cbddde65ee42bf01676d4", "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "0b67879b1d5db9da12490b41b4f52d12626e87bc", "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "4ac0a37ba0630310e7848e144edcba9ea3d05334", "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "77a0e3e366e061b0ceb4a7a901ee18e420185447", "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "5cb5207759597a5d293a331af73e1ace574a4ba4", "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "013e0fe2d203eaa33a4b42d057688815116cc6bb", "931282732f0be57f7fb895238e94bdda00a52cad", "05e9e85b5137016c93d042170e82f77bb551a108", "64bff565c83c6ce3fac783d8d67191af99803701", "595a8356461904b2dfe7f46acc87002fcee9d4a1", "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "cae6f7249783b102e8b05216709a780f47c57f7c", "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "0f780a8cb09627bec41000345c2771df2853224a", "c1206330ba57a27fd0acc29dd39825bbf2d91060", "182432088c9fac5b0ac977df625cb40765f7c84c", "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "02f86370fd467f0d03948a94a346034d8a111ffd", "9241b103b76a3bdae157038b71783d7d372c71e9", "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "24410627f9db865c4a95bf0ec74547f582ee198b", "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "87fe38a79ee12531bb618d4006a476b3a5256f3e", "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "d8b8e165279ca2091d5af1440ed974db4792250f", "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "df8aee8aef6f0c71f968979318dafcd53da04bdc", "d5c8280e49cf7f58356e37e1722ab429415204ff", "70918453e9f147747b7a37d9159c8c1515a55ae4", "1876095a9387a84e594d81675c9c2c17cb10f7cf", "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "ad52d047a44f20416f9dd6655cef54169d481454", "e096b11b3988441c0995c13742ad188a80f2b461", "531e412155cde56382906aeee2a1b28ec61259c5", "2fc8905a80b284d2cc204dc38ce10d904a875be9", "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "85eedee59aca5f2a591265a2173cf3a2799cdc94", "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "6d90a0ac9d015b911469663d505b2e3d8f75520f", "70b420850e16ec2afe42d5c0006742d9045b3e7f", "8ba686c99684c6be46988ed3ab1003312c2fbf80", "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "69877c56737f84951db86ff27235b597ef95be2f", "82451d0ae2e0154b5f9cd096af199c35319e911a", "2d1d105538961d9b301bda6248d6df55829751be", "8ff6294535acf46abf523b879f20685de0692a8c", "2c953b06c1c312e36f1fdb9919567b42c9322384", "390faba76c076e6bf8db4b0850366bd084be257a", "d97224063697392f073e467005e89973d2be7d65", "2cd7821fcf5fae53a185624f7eeda007434ae037", "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "e33bc0cd79d92d6868989a29c3ab06b75f808590", "14d1a458f49e251cbbab34349e379469300a2bae", "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "9b8746e9480c3bdcaa6efca33096369422c624aa", "3325860c0c82a93b2eac654f5324dd6a776f609e", "e1f041594fa37d407c80b28a13680a9ddc081c49", "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "7d520f474f2fc59422d910b980f8485716ce0a3e", "dab8b00e5619ceec615b179265cd6d315a97911d", "d012f6d7fd45051adaff8da4ce0860de9f81d445", "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "4a31ca27b987606ae353b300488068b5240633ee", "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "40b237c04438a1828083a139ebc88f521591375a", "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "894e4376750b83b63649cc518b121f345ca0df83", "21d1225296aad388406824eb113715c4b90ed3da", "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "75b987f86af2bc7f68edc45be240dd30e1ef2699", "01f26d2945c4eca35890756d114b4cba9931bf25", "0d517ddc86858e4068d52dd6f6df53a9a8599690", "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "6a405e7284ff7e2127a241d60646b4abd3da92f2", "0d60264bbb41ed188f852d96441f43909c3e60ee", "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "c0e551acb063c9cd73dea28ab8963f850b6f1148", "c1d1b1197667facd360196059796ab8cb7b46e96", "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "25d75339720787e7003f2f103cf38cee8175972a", "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "c6c691b772822881c5c52b779100928f0d54fdd7", "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "11a3084768f035c824662a85a348f02466693d2a", "4be10db13a9210e078d78a4a072c569d9bbd9939", "4268dc438d81c9f143edb9097923709b2e7a18ca", "c9abf6cb2d916262425033db12cf0181d40be7cb", "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "13e424d502bf539108ad6f5cc877cfb1255dbee0", "1dbd7653ede6af15d539f64cb2128752ca029e44", "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "3ec04a3536007433451a428e090d099c8b2a6add", "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "f4c45108cb41051010d8a5175b8da23eb246c967", "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "81ea29bde0216e41420c4591bebb800142fa3269", "4a31b3fcc346bf3235efe1c0fb310833570cef27", "ed62a56b81511d7fcf6d247014987163d9668982", "742d5b4590284b632ca043a16507fb5a459dceb2", "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "a289de92de2503b632efd7acc13080ab026986b7", "34072c31c2c778df471c9f0c43ba6198dfd0db32", "d23ac99cdab20a9a3eca2784a5b262649c717988", "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "8339da16dced3343173fc71373012d73c9f59f8d", "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "8502c089c9affe5955810073b4c814457790065c", "a74b045f28670e8f85173e0e483581520d667f02", "c56da136b8d62125009a131f6dc21fcd0dd6a559", "3b20082bd64d8af4041611434ef23fdef57616a8", "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "6f2819172d270ceb568bf7586d812b298266bcbf", "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "f23114073e0e513b1c1c55e8777bda503721718c", "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "d68a6bf394f8f6440426a84d8494e83d08aa1535", "19d4855f064f0d53cb851e9342025bd8503922e2", "5fdbebf417da2427744d2c60f413b5375e68993e", "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "4be211df856e2fc0d999598ba6561a22e65997b6", "965bf5726891428a2af6922ead4779c0a1331392", "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "108961c7366e36825ffed94ac9eab603e05b6bc6", "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "ab781f035720d991e244adb35f1d04e671af1999", "e41876930495ee879b0d1cda9a85f82102884b17", "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "7d98e98e64f2622d321bd3b410a4636fce39be50", "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "2a2232f2972191a0606d588aa4f13c9f27d1972d", "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "029cabb6f3f6a824590e735feb1d8557646db8a6", "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "03fd6774f57aaed9320060e4527121c59e9eca2b", "46c82cfadd9f885f5480b2d7155f0985daf949fc", "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "dccd5d00f88cdb59b0680baa86024f14331c38d6", "0a81e5c6429a85564ba742726850109ae07dd24c", "c8ba499e8d8daa32637885f03137f41d61023bf9", "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "cd1a636c1261208084cb8395c877c7ca22c76df1", "101c7305f141145c4d168dfa40284e0ad86a0d9b", "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "bb1df923eff58177f20b2cf46318a31aa7e89143", "121503705689f46546cade78ff62963574b4750b", "af7310abcbac6b43ffa850be2315282185b933bc", "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "48922520e6de0954a83f26977b2b50b7fbfdcf61", "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "0083a395fded81d562317d83e194dfbc47b5c04a", "95a1d94880f3466e62cb5e0947e041aba6d02456", "c37fe13f94dfc2f3494a35a63336689ce4392135", "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "30654fd93360a339e271d4b194b7f7463b2c5dac", "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "02d9d571980ec2f8d28011a5ad33820d3585755b", "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "282cee05661a690aa525f21b47c6ee39fb26a7c2", "e8ffef3d4d74720e766e506e175e533bdc8ee705", "1daf971c087f5e21dbae831231377cbe9bb2f188", "182c91f619e0b7a8cd2120139d530750aa0b85a7", "886674a5abae3c9bfd262006c67d4ba078e1462b", "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "013d5325e1225456de011bee0f45c5bfec872e9d", "3b304585d5af0afe98a85d6e0559315fbf3a7807", "99df9e95b3f3d187636918a65277baf7c98cbfc5", "832246357de85108cb910e773c203997448c570a", "9974ff5429696e815a3c1532577ff4c233b22490", "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "9452d029f5d140aece06619b6fd8e47b070cacd1", "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "062723093e77d942471a77f1a89614d05216a275", "81763bb718dc6630be210c056a250b1c2ed57fd7", "62ee1385725c508cdb64a8318d2e07bddf8b5832", "309e17462a9cd4ebd540b4218600e97b688c3779", "8043117df3fab932c715f2361f1a8bf0f45755dc", "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "0ab65b963f8b71e31bfec188056023147f75303e", "3e64282d305b77b39b02e820cfcba2f1e5544793", "2c03ba51f7404d8d9869a997a00f6af801149ac1", "a228ba020bd321d29ab24485cb2988a62707fd64", "895c5a6f2915d95d518e78d6a0224dad7399492b", "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "bf3aae7293f664d512c0904916d804327af22f52", "428f087b10141cbd4d827b1df734ace473548e87", "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "9bd9050c53d90dfa86cb22501812afe6fc897406", "0de46e6768acaa71745406d646573644b975dc62", "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "1d7029a974f950de61f3980704956b43f1a06e7b", "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "23a44db65ff4913289a3a93fb8c85072ae9d007e", "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "e84973cf0337de616f394df06087989a75a0df3e", "f79c4bf83371627ba139b61eb427463b93cd687b", "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "2d5589ad3a228670eac7251b6508cb326793051c", "f678f31e7bb5eda34098b0fed608cfad5e372509", "084bd219dd239dc4c9a02621a5333d3bc1446566", "df0e280cae018cebd5b16ad701ad101265c369fa", "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "392589e60f203b19b1d314ff1005182a668c594b", "66586f1d755362f485f25acfc60153c2a5ed1533", "549c719c4429812dff4d02753d2db11dd490b2ae", "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "2851efe83633a1c80272ba2c9302a1333dd32523", "094f5e36dae2602e179f2c1d95a616df3dbe967f", "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "f92ceb6875f614bbccb25e4b11ca55353773890f", "da53cd51d9d4d047f10144233ad925133ad43207", "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "2114b25727a21275e88e30dad0423752f6047dae", "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "c55f15ffdd01c526624626ea94ae90263ee86fee", "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "838420cebfdad4e93221f8fe203c09155983141a", "748305f0b2d686d51ccf893207697d6cfb39e890", "15c820aea3dba1902485f34f635e13f69204e501", "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "5c7964b57fcac612dc18e27e18f98eeba9404707", "b7efecec654acd8831d045e728b54356c697c9c8", "cc6983184d5a1ae077deab222ecd381cd44410ea", "eacb95e81156c48f4ff7470567ba205225170fa7", "263ab80451b236c27675ca4c6aff5c72fef77f4b", "51a09f0305a0cdd48ccaac070363c71bc2c49938", "14b311b848b51b7b5345573a289b1cedcbb4d581", "f6e00d6430cbbaa64789d826d093f7f3e323b082", "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "24ff832171cb774087a614152c21f54589bf7523", "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "99c37dba394b100ba8f3d895c0ee0e57d5852347", "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "f6b649023e49a341f042f9a17b2f923db58ccf35", "c4fe488c0cff49e1ed6de1425ede27900005fd87", "5250f319cae32437489bb97b2ed9a1dc962d4d39", "1c8897aaac36c9f96b86b4e6d412e91512429cde", "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "e70360dec906df73e7de268b801b51296f55471e", "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "3d61a6834371ef08f25f5eeea615808380e109e2", "0678a8abea82793993cd89383319da75f6dc4be3", "46a1172c784c3741e79781ef2353209b08dbea67", "12017d411ad5db2fce87eee19540ba22dc87bdf1", "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "4acf31294e940d85a4eea56c244205e3a66d8b8e", "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "057f5ffda59a3412f1e62159e96f84faa352628e", "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "250466b42c0b690724c4d2c7ff61ecae489be356", "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "a887937b813f267507203d4faef1013043cf09d0", "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "4404a99e2f6db3e703609168a3595e0fbdeabc38", "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "e478c322de923337627487d8a688f5922b45b2ff", "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "7c594c0b9482624745dd95767f3eebde1ee7f043", "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "032bde9da87439c781a6c81ba7933985ed95d88e", "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "d47d72afc590f5b96117a5227d45157135da21ad", "8b06d12795c1714960cc0db17687777aad28ab42", "05db46c7745c360fa5938ee204c81efdcc84c1da", "bb6548b43c737dca642298c46ec4648a403e1b11", "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "7dfc24b8e21fa7a397d5557574efedd218864d10", "d7a042c4db29e233861bc556fd763ca608ae078c", "50953b9a15aca6ef3351e613e7215abdcae1435e", "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "397bfda299f789f0c84bf284a868b9ca005c7f84", "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "a13dac9255dd738932f463a8f462c11419f072db", "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "050e5b4043009e54dff9319877fe947885db2d6e", "fab39542b04d5aac48349e456cdb300e7786ee6b", "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "b705ca751a947e3b761e2305b41891051525d9df", "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "0ae427cc645162f1a110ffce7b94cd9400138527", "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "cd7551569c460c19139377a90d554b57b506b831", "812e11fc86e5d183337257978e5a0f26b5668218", "fe683e48f373fa14c07851966474d15588b8c28b", "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "2ba540ca70c7dee81e13768792aa7571952987f6", "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "ddb561cbdc1e8d76e88679c115f277effde4db8d", "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "115e8a4f76a57b893c985ea4f7530b90d071679c", "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "92f2639dbd9f7c4284b7012809e4d2c407834774", "33e845e18acbf54ad2e031efe68493d07d7deb61", "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "448ff117f216bba80080ad56851d7dc6bb5e22bd", "4c454fda214e00c9cba4bb759da78949a4130873", "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "39223c8e64221062cd992e7e89e6db858014eac1", "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "750896331f6d74495037f6c8f6c821b0c50ee44e", "778b73effb652ab54c17de194e7ed38f58e5b5be", "d250e57f6b7e06bb1dac41c8b89700086a85999e", "cb05bb5397e077aff7bac3ee26eaabed2779e914", "f99a2beca1e85015af62f728b70dc48be93a3c29", "de35ea60396629b2d1ceb73df56a97ed21012680", "eecc4466056761ba6d4909cfd7928de90af140d7", "6a64ac585cf7150253c690ed62bc92fb2894a347", "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "e083d6f5084d8a8582af797999185c4e0d2c841a", "19339e816d8006ad462868b01812b03eb463ead1", "446154e26359e7f8fd2f314cca44c1e20da02ac3", "899e7ff67aa2630edc8776758cc5d65823f099c1", "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "139ab79a0aae5d4346f907b7b29288d09ef373fa", "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "94780b00dc2807ec507ae91500b622ec7a8ddb12", "fa496716a5b8520e94a0126b5baa4f636623c997", "d4efe5177a932305d0ac742b280da1e97a254f0c", "47a7b12776de302f5cf34df21eced1bff593dbcf", "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "c2cb4da617168c76c4560a01de8b5e68b5250749", "87d5b53580ca5f77ccc3ff157337ef3456308943", "eb2333a759788903848c49111a03c4c00d188e70", "cda356a979c0a57e1051830551f657db249e3c45", "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "335be9250ba4a69a303abc3e202fb7c9c8551f49", "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "8eaade06b75dac977574d05ce1058b86df059d47", "16161051ee13dd3d836a39a280df822bf6442c84", "1504eae5487e1e062fef96e1e424de5d3a5a3858", "b9b21cfa7de32677151571ab44d27d2d246b7a03", "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "149f3cc167b046dc790b1f4f1c48eeb31e898403", "a31a01827d809673a641877f21759633936d7da5", "1a1654456decd116f4ca84c98006dfda0a8a3134", "8f76401847d3e3f0331bab24b17f76953be66220", "7bf7483f96a5f08a0c762831f7214b4caf451d24", "55f7699e768457d40c5232448cdca4503db2821b", "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "06ca83cc7def5b0d582f4d933057c4370a6345d7", "2e1f0b522014c942197e51b556eeb48b6ad66cda", "03735225d5f956180cc252af3613796e75930f1a", "25858dc59faf2630bf0eefe23297ce262370cff0", "d994cae1195536ed1298d9289f014e4a81b88ca7", "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "4a6049e1926cc8e574301cfb229599cdc0a64e62", "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "5950512e21114236208b9eaeebc9a09735e367a6", "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "c7780cff11068fecb322a43e459c56267a88aee7", "504d79d7fba48645ef84a90b94a431f8a7e0612d", "98bf42055160845e6f8f3c022298e3b8e4e55f80", "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "41be021880a916305c82199ddc2298eb271f6590", "19b6b0649cc669791c799c52fc56bdc556f06916", "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "4ff486644be5e451784d6ae83f8073c8320fa974", "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "99f95595c45bd7a4fe2cffff07850754955e5e2a", "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "732e4016225280b485c557a119ec50cffb8fee98", "ceee9ba72a021ae5604db04a93fdcff421d60216", "73e3acf30ecce3771557aa083d5a83308049582b", "c4a0e89793961dc486964802df55ae73fbba60ee", "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "2622d2467f19bc60427f8ea495515e7da82316c9", "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "c96f012f4915398259e7e223810c57898b5e1a76", "488fff23542ff397cdb1ced64db2c96320afc560", "537afabc561a2efa79a903f4859ca63e6592f340", "3b483c986b973856e016f761ec312c1a339766a5", "e9d82ae7530e605c03440d362d78663c4af0edb6", "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "34ccebc467bad0fc179543bde7d1bc04bed2397c", "71f7be73a575f3689b0137446289d02462e1c5b0", "33ba256d59aefe27735a30b51caf0554e5e3a1df", "4efd04f737ff386edd943f2bd63499d1963f1a6f", "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "72d7e11b30767f4f5993d794fc040328b23868b5", "419550e7b918c64785f087b17f7fde6c94bc6d4e", "a2a032f907c19256863e1e011b834eb1f8057a4c", "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "ccd3dcbccae7d903608530bddf6381db8e723a7d", "3dcf65754c6ea49ece027964348f4ee792dad758", "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "5a364ecb2d10b637c63b885d27eb372390232277", "1114c2aba97a5782a48341817811df2438d0fdbf", "8379f3cea577e393156c75f4c06560ba2472da94", "3b60af814574ebe389856e9f7008bb83b0539abc", "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "8211c974ec152e79235cb57a03ba2971e913508f", "474d84a1cc5bf2be1004f07732c470b240049780", "92990ef7866ca906b595e2841e340725fb3ff8da", "eb69f89588e9538194750f12bf8c8df6d5301f3b", "87c2e267fadac9d4f4f694125eb86eaaf7121797", "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "68e596972d99635b5431357630512f1828ce90b4", "6e7a9779dee831658e973ee26ac8bfed2d6da033", "08eaa845a72a2b78e08e58592d8785942fced649", "420c46d7cafcb841309f02ad04cf51cb1f190a48", "2603a85b305d041bf749934fe538315ecbc300c2", "c23734cf46af7c299b72089e5cbc0e50b833e434", "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "a5fa91dbc72f200970e70debe88375b71ddef40b", "605f5d08199b3202dd180590aef1a1648c0e309e", "025ceb084150433087cd9d3e6725ac439115e526", "06e2178d029b78801c004e512d923f7ce7f9e8eb", "d2e8efaa0d095c22455fe4eab260f94994bfb116", "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "10d3f77225eca1d576268ba84ed83f230a5e47c4", "a01c7eec51fa901b2526325f563480c152c58ee5", "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "2774b83247331d10a87195290f8e9aa096640dde", "d1ff495047a47ea686cde7806cc04b377ef9984f", "8448b75afec91e618ab1c2dade7d5500f6ae4289", "5907ca4b91c8e8d846871e045bce9a4ca851053a", "bad2df94fa771869fa35bd11a1a7ab2e3f6d1da3", "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "3fe3d6ff7e5320f4395571131708ecaef6ef4550", "632b24ddd42fda4aebc5a8af3ec44f7fd3ecdc6c", "e3a6e9ddbbfc4c5160082338d46808cea839848a", "a60907b7ee346b567972074e3e03c82f64d7ea30", "d8c9ce0bd5e4b6d1465402a760845e23af5ac259", "2dbde64ca75e7986a0fa6181b6940263bcd70684", "3f204a413d9c8c16f146c306c8d96b91839fed0c", "40217a8c60e0a7d1735d4f631171aa6ed146e719", "2201f187a7483982c2e8e2585ad9907c5e66671d", "285472527c5dc1c620d9644849e7519766c2d655", "30f62b05b9a69d671be4112d47eba90028a26c71", "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "2cb5db4df50921d276ad9e7186119a276324e465", "102e374347698fe5404e1d83f441630b1abf62d9", "1862cb5728990f189fa91c67028f6d77b5ac94f6", "d06c8e3c266fbae4026d122ec9bd6c911fcdf51d", "d6639263381c929ebc579a541045a85aa21680f8", "7177649ece5506b315cb73c36098baac1681b8d2", "cad52d74c1a21043f851ae14c924ac689e197d1f", "b599f323ee17f12bf251aba928b19a09bfbb13bb", "970681bbc2ee19a1e9f6c765ebf86003fbdc3471", "8d4f0517eae232913bf27f516101a75da3249d15", "83fd5c23204147844a0528c21e645b757edd7af9", "8983485996d5d9d162e70d66399047c5d01ac451", "1fef53b07c6c625545fc071c7386d41f87925675", "59c21f5a24d0b408d528054b016915236bb85bf2", "b51e3d59d1bcbc023f39cec233f38510819a2cf9", "2a8b1bcd397d987d7bb0963ec7e472c3ee6ebfa4", "b104c8ef6735eba1d29f50c99bbbf99d33fc8dc2", "5480aee1d01700bb98f5a0e06dd15bf36a4e45ea", "be6bd94322dd0ecfc8ea99eb7f40a9a14dd3471f", "493f7f6db3160b3e011a96db8add618bcda39616", "887745c282edf9af40d38425d5fdc9b3fe139c08", "122f52fadd4854cf6c9287013520eced3c91e71a", "fe961cbe4be0a35becd2d722f9f364ec3c26bd34", "8a8127a06f432982bfb0150df3212f379b36840b", "44c278cbecd6c1123bfa5df92e0bda156895fa48", "9d6e5c1fef16f9a9ace7ce90e6a547905be6b25d", "ed82f10e5bfe1825b9fa5379a1d0017b96fa1ebf", "a3e66902fd95b757edca4268c8a29258ae9b15cb", "3f88ea8cf2eade325b0f32832561483185db5c10", "b2a0e5873c1a8f9a53a199eecae4bdf505816ecb", "8e60be8a25cc4a28220dd3092489baa84be903da", "39b22bcbd452d5fea02a9ee63a56c16400af2b83", "24959d1a9c9faf29238163b6bcaf523e2b05a053", "b239a756f22201c2780e46754d06a82f108c1d03", "2b64a8c1f584389b611198d47a750f5d74234426", "6eddea1d991e81c1c3024a6cea422bc59b10a1dc", "01e27c91c7cef926389f913d12410725e7dd35ab", "57dc55edade7074f0b32db02939c00f4da8fe3a6", "90eb66e75381cce7146b3953a2ae479a7beec539", "fd4ac1da699885f71970588f84316589b7d8317b", "622785eb1f954ba028aa45671ded10a79aa139e5", "d350a9390f0818703f886138da27bf8967fe8f51", "a6e75b4ccc793a58ef0f6dbe990633f7658c7241", "a735c6330430c0ff0752d117c54281b1396b16bf", "55cfc3c08000f9d21879582c6296f2a864b657e8", "12a56100a958c12049ad7f5e98c824e07d309999", "57ebeff9273dea933e2a75c306849baf43081a8c", "87bee0e68dfc86b714f0107860d600fffdaf7996", "261a80216dda39b127d2b7497c068ec7e0fdf183", "f94f366ce14555cf0d5d34248f9467c18241c3ee", "9282239846d79a29392aa71fc24880651826af72", "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "3b7a6291712f9796a3add49a3f65f0acaa3e1335", "0d781b943bff6a3b62a79e2c8daf7f4d4d6431ad", "010c6081a66990ce7754f12dd1b37fc677a7751d", "e896389891ba84af58a8c279cf8ab5de3e9320ee", "ff3a8474a77f9a69bc2c82e087f065d29d0f2114", "6c26744149ae08af8bc84137633495fa948b41ad", "849f891973ad2b6c6f70d7d43d9ac5805f1a1a5b", "0ef20991e0ecc7dc3f6e0e5fd6ee93c4970206f3", "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "102b27922e9bd56667303f986404f0e1243b68ab", "70c3f7ade95e5f79adc02ca6171b4194ec347427", "529baf1a79cca813f8c9966ceaa9b3e42748c058", "bcb99d5150d792001a7d33031a3bd1b77bea706b", "d3367c9a4825295301225a05a190c0b7ed62736e", "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "587b8c147c6253878128ddacf6e5faf8272842a4", "69737cf25979bf8d8886f63c44ef5b7c95a066e7", "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "397257783ccc8cace5b67cc71e0c73034d559a4f", "038ce930a02d38fb30d15aac654ec95640fe5cb0", "21bd60919e2e182a29af455353141ba4907b1b41", "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "96faccdddef887673d6007fed8ff2574580cae1f", "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "3b84d074b8622fac125f85ab55b63e876fed4628", "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "7ed5036a7c1eb2ea08fa2a12a446a9ccb6171c92", "2dd902bb32bc106d828e1d0734477fed84df2ff0", "c2474202d56bb80663e7bece5924245978425fc1", "228558a2a38a6937e3c7b1775144fea290d65d6c", "4289f5d6255955a7a97e85b3d16e29accb52d96d", "050a3346e44ca720a54afbf57d56b1ee45ffbe49", "08f1e9e14775757298afd9039f46ec56e80677f9", "f33bd953d2df0a5305fc8a93a37ff754459a906c", "da386f486dd2f12281aabb368543e62459f1e79a", "2fe86e9c115562df2114eeedc7db1aece07a3638", "562f7555e5cb79ce0fe834c4613264d8378dd007", "113c22eed8383c74fe6b218743395532e2897e71", "8bbd40558a99e33fac18f6736b8fe99f4a97d9b1", "4f7967158b257e86d66bdabfdc556c697d917d24", "ef26b36eb5966364c71d4fed135fe68f891127e5", "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "982fcead58be419e4f34df6e806204674a4bc579", "25695abfe51209798f3b68fb42cfad7a96356f1f", "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "96ba65bffdddef7c7737c0f42ff4299e95cd85c2", "9d57c4036a0e5f1349cd11bc342ac515307b6720", "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "6144af24ce06af7d8cdd606e79cea5d6e73e2135", "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0", "2d072cd43de8d17ce3198fae4469c498f97c6277", "6754c98ba73651f69525c770fb0705a1fae78eb5", "3ed46ef5344927a30d71089ae203c9a9e35e4977", "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "29fd98f096fc9d507cd5ee7d692600b1feaf7ed1", "83011670e083dd52484578f8b6b3b4ccde3237ec", "50e04ffed39d130720cf9310f72ebc037f8f6392", "3cb64217ca2127445270000141cfa2959c84d9e7", "5ed5e534c8defd683909200c1dc31692942b7b5f", "f79e4ba09402adab54d2efadd1c4bfe4e20c5da5", "eb9867f5efc98d3203ce1037f9a8814b0d15d0aa", "26e570049aaedcfa420fc8c7b761bc70a195657c", "a611c978e05d7feab01fb8a37737996ad6e88bd9", "8c50869b745fc094a4fb1b27861934c3c14d7199", "ca44a838da4187617dca9f6249d8c4b604661ec7", "64bb909c4103d2078392377ef8e4205346437c61", "b1534888673e6119f324082246016d28eba249aa", "081189493ca339ca49b1913a12122af8bb431984", "17cf838720f7892dbe567129dcf3f7a982e0b56e", "dcf71245addaf66a868221041aabe23c0a074312", "ce56be1acffda599dec6cc2af2b35600488846c9", "77fbbf0c5729f97fcdbfdc507deee3d388cd4889", "6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7", "3463f12ad434d256cd5f94c1c1bfd2dd6df36947", "3cc2a2eaaacbf96c6b9abc1cf91bfefabf6fcfdd", "7ac2fc0fcda50c358cc812007bd99f370b779324", "1ef4815f41fa3a9217a8a8af12cc385f6ed137e1", "28f7d3d894705a92cac9b08d22701fadb6472676", "a8035ca71af8cc68b3e0ac9190a89fed50c92332", "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "68021c333559ab95ca10e0dbbcc8a4840c31e157", "ef4ecb76413a05c96eac4c743d2c2a3886f2ae07", "56dca23481de9119aa21f9044efd7db09f618704", "ecd67d0e8eb407b1edb07511578a68995efdfea8", "171ca25bc2cdfc79cad63933bcdd420d35a541ab", "d91fd82332a0db1bb4a8ac563f406098cfe9c4bb", "7f2a4cd506fe84dee26c0fb41848cb219305173f", "4014d74e8f5ea4d76c2c1add81d0c88d6e342478", "e4abc40f79f86dbc06f5af1df314c67681dedc51", "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "56ae6d94fc6097ec4ca861f0daa87941d1c10b70", "5ae970294aaba5e0225122552c019eb56f20af74", "d69271c7b77bc3a06882884c21aa1b609b3f76cc", "0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a", "d9b4b49378fcd77dcd5e755975b99ed4c7962f17", "813c93c54c19fd3ef850728e6d4a31d279d26021", "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "55aafdef9d9798611ade1a387d1e4689f2975e51", "4eeccbbb98de4f2e992600482fd6b881ace014bb", "e73f2839fc232c03e9f027c78bc419ee15810fe8", "c5d13e42071813a0a9dd809d54268712eba7883f", "d6791b98353aa113d79f6fb96335aa6c7ea3b759", "e569f4bd41895028c4c009e5b46b935056188e91", "b3067deb3110e3a7566c032ac0c1e1608668ef3d", "b51d11fa400d66b9f9d903a60c4ebe03fd77c8f2", "b3c60b642a1c64699ed069e3740a0edeabf1922c", "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "04f56dc5abee683b1e00cbb493d031d303c815fd", "bd66dc891270d858de3adf97d42ed714860ae94d", "a094e52771baabe4ab37ef7853f9a4f534227457", "90c4f15f1203a3a8a5bf307f8641ba54172ead30", "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "9a4c45e5c6e4f616771a7325629d167a38508691", "fdcca639b96aa982ae67544f58c7e60be9d0748e", "9f1a854d574d0bd14786c41247db272be6062581", "40f127fa4459a69a9a21884ee93d286e99b54c5f", "fb0f5e06048c0274c2a4056e353fa31f5790e381", "9367513f330964b288a4a99ce8265b2960c4cf4e", "49fdafef327069516d887d8e69b5e96c983c3dd0", "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "50236de1791a009dc77d7266c412469a22437b4b", "4ae291b070ad7940b3c9d3cb10e8c05955c9e269", "14bca107bb25c4dce89210049bf39ecd55f18568", "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "4a0f98d7dbc31497106d4f652968c708f7da6692", "0acf23485ded5cb9cd249d1e4972119239227ddb", "dad7b8be074d7ea6c3f970bd18884d496cbb0f91", "13fd25a18ab3faebcd6a4ab95f4cc814fcda337a", "7643861bb492bf303b25d0306462f8fb7dc29878", "36486944b4feeb88c0499fecd253c5a53034a23f", "bb3698df3b4f40c0b7cc523d26ffb8c5276d5a1c", "3157be811685c93d0cef7fa4c489efea581f9b8e", "22a10d8d2a2cb9055557a3b335d6706100890afb", "506c2fbfa9d16037d50d650547ad3366bb1e1cde", "d861c658db2fd03558f44c265c328b53e492383a", "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "bb83d5c7c17832d1eef14aa5d303d9dd65748956", "c34026ede413e806430b6e18151c5618e8f01fbb", "e957d0673af7454dbf0a14813201b0e2570577e9", "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "123a9768700433c405bd7266f4c57ca8222e7fe1", "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "a00fdf49e5e0a73eb24345cb25a0bd1383a10021", "2f489bd9bfb61a7d7165a2f05c03377a00072477", "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "82cd5a5fec8a27887a35f1ecec684ec55eefad73", "c71552fb2a18458a5607c609b96433004ada1131", "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "2ea247029ac1b8ded60023a369e8d259a8637bd2", "aa5eeb1ab953411e915ea5e6298474dbebfa6fb6", "5334ac0a6438483890d5eef64f6db93f44aacdf4", "7e00fb79576fe213853aeea39a6bc51df9fdca16", "9326d1390e8601e2efc3c4032152844483038f3f", "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "dae9d0a9b77366f0cd52e38847e47691ee97bc1f", "51d048b92f6680aca4a8adf07deb380c0916c808", "83fd2d2d5ad6e4e153672c9b6d1a3785f754b60e", "e577484e5c3ecc6f073faf124468c8ae2f827a0f", "62f0d8446adee6a5e8102053a63a61af07ac4098", "6a931e7b7475635f089dd33e8d9a2899ae963804", "3b64b8be33887e77e6def4c385985e43e2c15eea", "48729e4de8aa478ee5eeeb08a72a446b0f5367d5", "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "3b37ef260aa1cdb43fce5ce76fdb70b4cb0dcc6c", "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "243e9d490fe98d139003bb8dc95683b366866c57", "10ab1b48b2a55ec9e2920a5397febd84906a7769", "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "9c373438285101d47ab9332cdb0df6534e3b93d1", "a4898f55f12e6393b1c078803909ea715bf71730", "18a013e1c72cf579d1b215f22d298521047e98a4", "74875368649f52f74bfc4355689b85a724c3db47", "3acb6b3e3f09f528c88d5dd765fee6131de931ea", "81e366ed1834a8d01c4457eccae4d57d169cb932", "eb48170a6e1e020f002a6a0a808c1934d5c760b8", "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "1aa766bbd49bac8484e2545c20788d0f86e73ec2", "f345a05353f5784b64eefb7785661cc0be519521", "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "142dcfc3c62b1f30a13f1f49c608be3e62033042", "a2136b13aa0bb4ea4e7fa99a6c657b11dffff563", "b7461aac36fc0b8a24ecadf6c5b5caf54f2aa2f7", "e328d19027297ac796aae2470e438fe0bd334449", "64ba203c8cfc631d5f3f20419880523155fbeeb2", "61971f8e6fff5b35faed610d02ad14ccfc186c70", "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "1b150248d856f95da8316da868532a4286b9d58e", "86c5478f21c4a9f9de71b5ffa90f2a483ba5c497", "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "60c97065418fbd30e55d79b764c7c3961106ac3d", "03f98c175b4230960ac347b1100fbfc10c100d0c", "55c4efc082a8410b528af7325de8148b80cf41e3", "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "b3465625ada74af38feca2d5067c5607b7d7fe16", "c20b2d365186f4471950fbe1ef8755de90efc000", "c175f1666f3444e407660c5935a05b2a53f346f0", "1f9b2f70c24a567207752989c5bd4907442a9d0f", "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "2742a61d32053761bcc14bd6c32365bfcdbefe35", "b9812f16ee3303ca0e32f9cfe38474fe69812624", "b73d9e1af36aabb81353f29c40ecdcbdf731dbed", "b3cb117f2424209d5997d5745772dfadd02dc80d", "1610d2d4947c03a89c0fda506a74ba1ae2bc54c2", "fe9d9c298d2e0c72408668fcff996e4bf58cc6c6", "993374c1c9d58a3dec28160188ff6ac1227d02f5", "24bf94f8090daf9bda56d54e42009067839b20df", "152683f3ac99f829b476ea1b1b976dec6e17b911", "a255a54b8758050ea1632bf5a88a201cd72656e1", "18c6c92c39c8a5a2bb8b5673f339d3c26b8dcaae", "565590af15af3d02f0b592b2e201e36708e4fe50", "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "9628af8b8496a2e69c8eb8a33e2db2db62551e9c", "68f61154a0080c4aae9322110c8827978f01ac2e", "5632ba72b2652df3b648b2ee698233e76a4eee65", "06b6606e47e071bbe070093c78120207578126fd", "aa127e6b2dc0aaccfb85e93e8b557f83ebee816b", "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "74325f3d9aea3a810fe4eab8863d1a48c099de11", "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "fc970d7694b1d2438dd101a146d2e4f29087963e", "086655743dc5f16563c012ad43b2f9d06771d9c0", "8633732d9f787f8497c2696309c7d70176995c15", "064b797aa1da2000640e437cacb97256444dee82", "44f433c5db087664cd5fae273763a2d2baf03bfd", "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "1a6c9ef99bf0ab9835a91fe5f1760d98a0606243", "440b94b1624ca516b07e72ea8b3488072adc5e26", "93dd4e512cd7647aecbfc0cd4767adf5d9289c3d", "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "e57014b4106dd1355e69a0f60bb533615a705606", "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "f3495bf7f7d827c72cc4e7a4850eaf54a998db11", "33f7e78950455c37236b31a6318194cfb2c302a4", "ecd6506cc3195620822e1f103b2faa96c1e8c0fc", "637b31157386efbde61505365c0720545248fbae", "21765df4c0224afcc25eb780bef654cbe6f0bc3a", "b06f2949eb748331c40a8b2381517fa09757ad17", "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "25c108a56e4cb757b62911639a40e9caf07f1b4f", "7811fd02bb77e2f6644f34c0f445d096199c3c2f", "ddb1a392582c624c9116cb00eac01aba220fad84", "1a849b694f2d68c3536ed849ed78c82e979d64d5", "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "2dc34d0e991c5df59b9c0a6022ece9430a913bb5", "e03f69bad7e6537794a50a99da807c9df4ff5186", "2ce84465b9759166effc7302c2f5339766cc523d", "230c4a30f439700355b268e5f57d15851bcbf41f", "32fbd7e8e9fa2387cbd6d23b9925fe7c2072cb92", "405ff96909968c6de716c9a650c8f27aa5b336b0", "6cfc337069868568148f65732c52cbcef963f79d", "171d8a39b9e3d21231004f7008397d5056ff23af", "3ea0555aeef50012c87289dc1b18241ec1a858f1", "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "690f5d35489c63ec7309b9e4d77c929815065257", "9ab126760f68071a78cabe006cf92995d6427025", "43776d1bfa531e66d5e9826ff5529345b792def7", "be57d2aaab615ec8bc1dd2dba8bee41a4d038b85", "4a1d640f5e25bb60bb2347d36009718249ce9230", "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "383e64d9ef1fca9de677ac82486b4df42e96e861", "de162d4b8450bf2b80f672478f987f304b7e6ae4", "26949c1ba7f55f0c389000aa234238bf01a32d3b", "66330846a03dcc10f36b6db9adf3b4d32e7a3127", "ea0785c2d4ac8f8d6415cffdb83547bfc4e7adba", "8bc190e3782a20f49b7346ecc80099edd89bc257", "40b0fced8bc45f548ca7f79922e62478d2043220", "fc0f5859a111fb17e6dcf6ba63dd7b751721ca61", "7e1d2befac6946112cd80652d0c2b962e3c0d342", "4786638ffb3b2fb385cec80720cc6e7c3588b773", "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "a5ae44070857aa00e54ea80394a04fda412b335c", "47fdbd64edd7d348713253cf362a9c21f98e4296", "c23153aade9be0c941390909c5d1aad8924821db", "31dd6bafd6e7c6095eb8d0591abac3b0106a75e3", "60106015783983454bf5925af9d9c1a5f4b701f0", "c30982d6d9bbe470a760c168002ed9d66e1718a2", "13b1b18b9cfa6c8c44addb9a81fe10b0e89db32a", "5778d49c8d8d127351eee35047b8d0dc90defe85", "f6511d8156058737ec5354c66ef6fdcf035d714d", "2969f822b118637af29d8a3a0811ede2751897b5", "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "104863192ffb35e285f7546d1ac842e001ac9084", "7d2dd37e443794f96c4c7b48322503bb4e702984", "7c1e1c767f7911a390d49bed4f73952df8445936", "7f703613149b190ea3bb0e3c803844895419846b", "d22b378fb4ef241d8d210202893518d08e0bb213", "32dfd4545c87d9820cc92ca912c7d490794a81d6", "c61686b6fead7cd04f71ca29caba25b387498965", "45f5ebf76cb908e805662d2d3be7a57d4324a391", "2e5091b5a73325ca52cfd56a6e277a1ddc27d147", "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "3ed2ebfd783298a9a2e412529ffabdeb98bd552d", "bbc8ccd3f62615e3c0ce2c3aee5e4a223d215bbd", "256b46b12ab47283e6ada05fad6a2b501de35323", "653878a26cb31bb444539e3d4db11ec7e59dd00e", "a1f1120653bb1bd8bd4bc9616f85fdc97f8ce892", "3377d56732c432bf42d6627b0fa25ff91286548c", "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "b0c512fcfb7bd6c500429cbda963e28850f2e948", "4e7f0dfc390f88623c825fe702da45b994342011", "fb0774049f2f34be194592822c74e2f2e603dea8", "9285f4a6a06e975bde3ae3267fccd971d4fff98a", "762311d26be8c774f2ad0ae74e3f12458662dd91", "19c0069f075b5b2d8ac48ad28a7409179bd08b86", "ea78ab987af09a65b9bb30b3afdd82bb2468f101", "08cb294a08365e36dd7ed4167b1fd04f847651a9", "046770df59c49c7ca9a1a4c268176ede2aa89e37", "6f81178c6f042f5e0b7dc226c1509596dbff63f0", "73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2", "0b9db62b26b811e8c24eb9edc37901a4b79a897f", "524c25217a6f1ed17f47871e947a5581d775fa56", "744c22e95eaceabb031589ba808bf2e9f24b04c7", "93dcea2419ca95b96a47e541748c46220d289d77", "3b8c830b200f1df8ef705de37cbfe83945a3d307", "bfab7043e206f428f98be47ecc02d506be1148d7", "8d712cef3a5a8a7b1619fb841a191bebc2a17f15", "32c20afb5c91ed7cdbafb76408c3a62b38dd9160", "ed273b5434013dcdb9029c1a9f1718da494a23a2", "dfb8a04a80d4b0794c0679d797cb90ec101e162c", "7a81967598c2c0b3b3771c1af943efb1defd4482", "559645d2447004355c83737a19c9a811b45780f1", "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "27812db1d2f68611cc284d65d11818082e572008", "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "0c75c7c54eec85e962b1720755381cdca3f57dfb", "c3ae4a4c9a9528791e36b64fea8d02b2fced7955", "e287ff7997297ce1197359ed0fb2a0bd381638c9", "fc8990088e0f1f017540900bc3f5a4996192ff05", "66425ac80e8c5995f9a680ae8b0f077893d6713b", "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "6da711d07b63c9f24d143ca3991070736baeb412", "5445e5fe5e42698413cfaf90f8c52009f19539ff", "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "64ec02e1056de4b400f9547ce56e69ba8393e2ca", "214072c84378802a0a0fde0b93ffb17bc04f3759", "92115b620c7f653c847f43b6c4ff0470c8e55dab", "14ce7635ff18318e7094417d0f92acbec6669f1c", "22ccd537857aca1ee4b961f081f07c58d42a7f32", "90b11e095c807a23f517d94523a4da6ae6b12c76", "4cdae53cebaeeebc3d07cf6cd36fecb2946f3e56", "dcdece0d0ee382e2f388dcd7f5bd9721bb7354d6", "b7752ffc2273b11b0afd9a360fb83a80a14d6b7e", "87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd", "1dc6c0ad19b41e5190fc9fe50e3ae27f49f18fa2", "405d9a71350c9a13adea41f9d7f7f9274793824f", "e81b7576356c8b579e3dfa32d1edf7bfdf9c27ea", "27a299b834a18e45d73e0bf784bbb5b304c197b3", "bcd162862b6d3a56b474039b2588a8f948d59fe0", "23f18899037c77efea58cbde7b029225af7e0db9", "632441c9324cd29489cee3da773a9064a46ae26b", "4c1ce6bced30f5114f135cacf1a37b69bb709ea1", "434f1442533754b3098afd4e24abf1e3792b24db", "fd126e36337999640a0b623611b5fec8de390d46", "65f25a28629ecfe8bae42a33883a8b9ab3c7d047", "5dff253fab3740871784a8afc9613d7189a70ec9", "ef3f5a972e91d5f2f3097b0dc1fba7f2890980d0", "647b2e162e9c476728172f62463a8547d245cde3", "642417f2bb1ff98989e0a0aa855253fed1fffe04", "5b59e6b980d2447b2f3042bd811906694e4b0843", "b171f9e4245b52ff96790cf4f8d23e822c260780", "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "a0021e3bbf942a88e13b67d83db7cf52e013abfd", "27961bc8173ac84fdbecacd01e5ed6f7ed92d4bd", "64ab36d095764c48140ef5aaaf6932cc93bceec9", "d511e903a882658c9f6f930d6dd183007f508eda", "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "0b835284b8f1f45f87b0ce004a4ad2aca1d9e153", "b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4", "33688a865aa0d0fd19cb488bb5258b1203fd42d3", "e3b324101157daede3b4d16bdc9c2388e849c7d4", "4bd3de97b256b96556d19a5db71dda519934fd53", "31003ba1cf9f77ec5b7038996d2ce999fa04d0ea", "f531ce18befc03489f647560ad3e5639566b39dc", "15ee80e86e75bf1413dc38f521b9142b28fe02d1", "3f12701449a82a5e01845001afab3580b92da858", "15252b7af081761bb00535aac6bd1987391f9b79", "437642cfc8c34e445ea653929e2d183aaaeeb704", "97e569159d5658760eb00ca9cb662e6882d2ab0e", "b1546f723d11f95ee50b1db1bdce8de8de85a54f", "d904f945c1506e7b51b19c99c632ef13f340ef4c", "7dc498d45f9fcb97acee552c6f587b65d5122c35", "27846b464369095f4909f093d11ed481277c8bba", "652ec3947d3d04dda719b1f5ba7c975e567166ef", "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "a2429cc2ccbabda891cc5ae340b24ad06fcdbed5", "3726d17fd7e57c75b8b9f7f57bdec9054534be5e", "72e603083c8b1cfa09200eb333927e8ea848fbc8", "06d7ef72fae1be206070b9119fb6b61ce4699587", "58d43e32660446669ff54f29658961fe8bb6cc72", "63367972e1ada96dd47211d86ddee83f65ca1880", "d8896861126b7fd5d2ceb6fed8505a6dff83414f", "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "5aad56cfa2bac5d6635df4184047e809f8fecca2", "912a6a97af390d009773452814a401e258b77640", "d6e08345ba293565086cb282ba08b225326022fc", "c049912e3ac45b1e2bc3432db2828754a0c66057", "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "27c6cd568d0623d549439edc98f6b92528d39bfe", "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "a52d9e9daf2cb26b31bf2902f78774bd31c0dd88", "488a61e0a1c3768affdcd3c694706e5bb17ae548", "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "46551095a2cc4976d6be0165c31c37b0c5638719", "6bacd4347f67ec60a69e24ed7cc0ac8073004e6f", "b9c262838db89597a7f9c0cb937cb7d671ab4544", "3a591a9b5c6d4c62963d7374d58c1ae79e3a4039", "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "1afdedba774f6689eb07e048056f7844c9083be9", "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "2f5e057e35a97278a9d824545d7196c301072ebf", "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "614079f1a0d0938f9c30a1585f617fa278816d53", "af29ad70ab148c83e1faa8b3098396bc1cd87790", "8e92168860d8c6591a0c088573629e4d167f5947", "5b6bed112e722c0629bcce778770d1b28e42fc96", "2059d2fecfa61ddc648be61c0cbc9bc1ad8a9f5b", "496074fcbeefd88664b7bd945012ca22615d812e", "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "1989a1f9ce18d8c2a0cee3196fe6fa363aab80c2", "1c25a3c8ef3e2c4dbff337aa727d13f5eba40fb2", "8a46f8edd522fb5fc7002b2b356ac9ae3d551f10", "8cb6daba2cb1e208e809633133adfee0183b8dd2", "b73e1f50f2d6f2438c545da6703621cdcc5b3199", "2cf57aeef8c93d293506a2f7062cac924943eb67", "2e942d19333651bf6012374ea9e78d6937fd33ac", "11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0", "213a579af9e4f57f071b884aa872651372b661fd", "1dca6a54d201dd56b41a5475aaf498a207083b0e", "365f67fe670bf55dc9ccdcd6888115264b2a2c56", "3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d", "d8fbd3a16d2e2e59ce0cff98b3fd586863878dc1", "0a11b82aa207d43d1b4c0452007e9388a786be12", "1564bf0a268662df752b68bee5addc4b08868739", "f1173a4c5e3501323b37c1ae9a6d7dd8a236eab8", "f5770dd225501ff3764f9023f19a76fad28127d4", "e9d43231a403b4409633594fa6ccc518f035a135", "0f829fee12e86f980a581480a9e0cefccb59e2c5", "4e72d964c28ba909f646b4eabd7c4aa61c14885c", "ce5e50467e43e3178cbd86cfc3348e3f577c4489", "1255afbf86423c171349e874b3ac297de19f00cd", "7ebd323ddfe3b6de8368c4682db6d0db7b70df62", "e8875b317c2e0ed6fba0c908d599b3772a400bdd", "a136ccaa67f660c45d3abb8551c5ed357faf7081", "eb9bcf9e3f8856c92e7720b63b7e846df37de0c3", "9c1cdb795fd771003da4378f9a0585730d1c3784", "8fbec9105d346cd23d48536eb20c80b7c2bbbe30", "cfba667644508853844c45bfe5d0b8a2ffb756d3", "8be60114634caa0eff8566f3252cb9a1b7d5ef10", "774cbb45968607a027ae4729077734db000a1ec5", "59bece468ed98397d54865715f40af30221aa08c", "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "0d0b880e2b531c45ee8227166a489bf35a528cb9", "5be3cc1650c918da1c38690812f74573e66b1d32", "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "b85d0aef3ee2883daca2835a469f5756917e76b7", "290eeaed75693eda17ac6703f0a8364f14c24701", "14418ae9a6a8de2b428acb2c00064da129632f3e", "950171acb24bb24a871ba0d02d580c09829de372", "414fdfe5f2e4f32a59bf15062b6e524cbf970637", "cba90ec61155a233fee33b529401e65d9481213a", "d8a0d1d56b1f93e703ea0f672df9700d7a39fdd5", "0eae752f8949d97e41831e509da721ad673dfc2b", "13d6585962fd165f6e6bf5f9fda0f0d73d7128f5", "1038aa6c1f63c1de9045f10e47ed573810cb4a52", "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "45cfbc5ccb64ba73677effb221a4b22c8a2dcd5b", "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "4323929f442ae84b6f4d14b2fe294ef42d6fb67a", "606e920681b6bd2910a1cccda2403ba7e361a3a9", "b573a57b3da678631bd78f25ecdeac7cd36fa617", "4f3f08bcc36778d45dfd5c6f6b8aff070bcfe9a4", "14fee990a372bcc4cb6dc024ab7fc4ecf09dba2b", "783bb44092f45573a9fbf47d023786105dde1d83", "2c13e817232e8693ecbd7a139cfb1825a720ff96", "4d0f6d323c9fa84b8187586cc3c9e1a42e65b4f9", "4b87d095bcc944b868f8a33679914d54828db3ce", "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "4774eee5c0fbd63dd62d72777a8b06afdf03d205", "30b74c53bd7a9b364920e5074b52b3f737a71c89", "2707f0f56b63c6ac472c37d3e40388e433e752b5", "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "0f4724cc069609a9544ca7d9a429b52cfe89c182", "55c0113534c62b7f3f238210cf501b42d91cc33a", "64afeccc2c0e671e1cf6df5fc8ff1d6c8da28f1e", "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "69f097ceab54d580e7cc8eb52ee79ad2182c2686", "1e1da480ea5c4e68f2bc6e16a492da640745ebb8", "5abb23a37cadda6194709196e650980bbf5bdd89", "29cbbed59a47566851deb63602a34c08e9ad3645", "4a1eacd06dbeed8acef3e4ad68b28af3bcebda56", "3884b78a06ccfde3249c16ac450b5254d033126a", "3f85020032ae335baf57aaf65c4831b67e4030c9", "7fbee617687fb0ad9e4562a33bd2007c1c438992", "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "a84934a2db769b7523399c8eaf6d2d7582415c5c", "0c5f9f5083b9fca4dcdbc4b122099ac1f630728b", "01d3a0b5557dfaf9eb6656d52768c2e9c51e5443", "d23bf3200adece389d6e7c866ca9105d999b23fa", "1dca96fdcab180133644442df4ad78eeec1aa00b", "d1b51ceb0644fa638b5bd192f49354ef464178f4", "a3fa023d7355662d066882df8dead0cac6a8321e", "4903156f9f0edae78c24f9b9b3348a3a4d20384f", "23e2b9d1ac20e114f48850ab32b3d9136bec6826", "a640bc0faef2c0ee44074bfd17e813d9b538bd17", "cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1", "1a4b6ee6cd846ef5e3030a6ae59f026e5f50eda6", "f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d", "6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c", "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "061d303381266e1ee751f5b7551d25324c043bed", "44f18ef0800e276617e458bc21502947f35a7f94", "2e55a287328b234db16fb538eddbbc185d51582a", "b799e4a405e5f79194a4609561dc45f805f081f5", "f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb", "11cf7aa5d940d0680e287b6e7f13490a619fdf47", "c8c5944ec503744304e026284182fce26d74cd92", "45f884c4c3bcdabdca46ee0e3794ce1631b9c558", "3f15c35d4c5ed41de9f57e06849f750e43fe80b3", "877c5a3ad915c2bbb5595252d08163f34ce58957", "5a97dbd14958386aa0d969b5a926bb64cfd01b4a", "4fec8a97d6d87713c5c00f369fc1373fba4377e3", "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "68147c43ad2ddebf223bd14a7928cbe26c7f270e", "981847c0a3d667aae385276221834edbb8ebd11c", "100c452a508711c11ab643d52e54c441cf58403e", "62a6cc9e1cdd2b3d72a968a3698063efc7350310", "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "7ced78b7fba4b63803baf2547b475d0edbfe8490", "2d1f710ba593833cdb0b63880f60146504cf1dc5", "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "c780747801743a2c47512ec406c43b2073eb6587", "bdd3e33cb78965bcd15d69b7902c813b2ac864ff", "008baae7037a47f69804c2eb8438d366a6e67486", "16261e2af94e20db19bba11080636049b9919cd3", "393a62cab9e2a1cc82c1663fdbbf1aefb781c36b", "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "2e9739056c9d1fe7b37046328f00cae603f59441", "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "95deb62b82ede5c6732c5c498d3f9452866eaba7", "bd17484e0a6773a74c51c41e773e202080682b3b", "93a28e5131a762aeb888b76bcc6689e8696ab8d2", "b6f682648418422e992e3ef78a6965773550d36b", "88bf14cd272fda73e5bc8fb48102a93149792e37", "b6049a15e204327e44b6d1ee3a1148bd7e21c635", "3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a", "b29c83b6ee10857e09ac3503916ae1b129642cae", "0f4acbcaf70fb008fbf75d856ccd9dd529cad43c", "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "2031b062f4c41f43a32835430b1d55a422baa564", "0c60eebe10b56dbffe66bb3812793dd514865935", "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "e0821e6bb9efb795b4593229e4eacd6d86cef7d9", "d708ce7103a992634b1b4e87612815f03ba3ab24", "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "0b18a370e573cb1836154a9157a4e7321dfe249b", "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "b3ad5304072264ef0419b810d6ed0c69a109d5a5", "550ba177de494789e91571129fdc3f6476b1bf79", "b7a09eaadcb21bf9ab234d87c954e329518580c5", "16ee8df3c0202a2756117ab0686cffda65362a4c", "ba9cc1577393afcf8b6b34423535ce71e4eab2fd", "55402d43f501024db62e1108e5b18109d91b3e14", "54ed052738ca0f4570c74931857b3275fca9993b", "ebd28f04c2ab1e61430d309ecbf7c832173d65a5", "657411b716d181b45583d2b2b206abf7a4a2a8e1", "47096e7103a2fbb6f6ede05e996209497d41db6a", "d5ff9ea7d0531ee7ac76a27449429fe0509164bc", "2e2ad9e47e9098b78e83b2112092809195f420fb", "591f04d62f44c22d1d82c9e074b066c21b420394", "a102edaa9fd458316637ce51a0b7aba2ee651637", "6f44303f9664a4ceabd0f4bc74cb3886aad5012f", "cf2ab0e639c19877596036603a3000ce7a1deb35", "dbbf2fd0d59641bb7735f93c70e4673b80d031a6", "4500bc692662ab8e14db8e3144db9876f24e940b", "81eb804756f27d08f2d193d1074e58e1c5d263ca", "7d94103c5e3796721388200ddaf94ed6e984ab0f", "fba89dd3240f49b3e5697e3665dc949a5d7ef31a", "3b904964cf61cb8d344245939870533b955960ae", "506f744801c97f005fa04a09e4a4ae5fdabe94d7", "38cc89399dd6f5aaab1654f27ab3c9eeade12a36", "6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3", "9a27d5efc7b74ba23c07d3a45f20285998bf1577", "321dc2958e7874a3896e7df96213cd808d3b2b27", "fed58c1faf9af15e1215e47a432f84b840f42857", "f10f7f315bf48b3f545015fd5dad967aafb79abb", "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "c0d4bcbdcdfeec6ecd83da9cae578e345116efb2", "44b5430d98aa581ebae4295f9f6441f4acb891ff", "ad7889a2525c345d701b8b57e441afe8ac3370ad", "53695e2dfec6737d585dd4e53757f73d18bd5e01", "24cf9fe9045f50c732fc9c602358af89ae40a9f7", "134c740476a35444100af1b4cd52a9165f0bcb7e", "1dabb080e3e968633f4b3774f19192f8378f5b67", "41e085d52e85a224a66e6b0884f053c05f285877", "54abfe3acd987b5041878c29ec74204a11e73ad1", "02cb44528213f4d5bd38fb2dcb59002680301e8f", "37e1fc37a3ee90f24d85ad6fd3e5c51d3f5ab4fd", "16be1bcce9a9cd94c571313da26590c80fcec5b2", "3e7f54801c886ea2061650fd24fc481e39be152f", "99911a8effd2ab3af4b4ba802920f3e1720a83e6", "71de9b3b8f482863d544da0f26ac2876b4fc210a", "c03c16668426d8b069e75cb440686e12a9adbcd7", "9e5378e7b336c89735d3bb15cf67eff96f86d39a", "5b4fddc0b86deea2fc139c43ee07892ad211a2dd", "1db058654185978c5b1e12a5ceb064567d797947", "dd609e4bd83cfcdbf64fc794da73a36398076890", "1c7a050394371bcb064868dfe681ff4c29ce2101", "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "92e5708ed3b622ca1f0f6ac28ffd6e789c528cdf", "a2c97ced4981a4505a6aa7f26e1c499df98f525d", "6d4e3616d0b27957c4107ae877dc0dd4504b69ab", "ffdaa12d37c720561f74d23fc3b5d47afa268000", "bd90d371dc333aa5a1dd127dbd85670273b32fc7", "6cb9c41a30ac5127d87a4dc4fcd0809b4303b819", "57c3b64c6825f737234812e9825acc895101d61d", "0b4189d874ee67f259a1a366ac93740d500064a5", "0d29816e37e97e8fd7040ddda37e0052d2b28693", "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "1d53a898850b8d055db80ba99c59c89b080dfc4c", "fb210da5526e967a6aaaa1a4cc1134fa0976ad11", "d05825a394f11a391c8815f6b0d394cdb4cfaa95", "10f3ead41bf8de97aee9c25b345b8b7495a99aab", "b8f1d51fb48655ee38fc4634d016cffa817619ae", "474c75016daf7324cee0b354cad5f657b59c1dcf", "53ac22fff7ae3ed08565439ac30656846cac2465", "b7676adde75c6d1bcabf56c7e2f7fa484155e8a8", "62c9590d6a37a24e6ce7805a4b1fe20c8e502c5e", "6779b1ebdae5e3af812ce075611f2cb00073af82", "129256ab0fd6785766a6709f107610deb3d9bfcd", "a016fbe8d09402316c7b38946ccd502d76aa8c74", "131e9edbe4b0322a467b7e8c35f6b0c0ca750e21", "3adbf4ed5e4e3f59afb7509119667c8701c7cf37", "5ad0e283c4c2aa7b9985012979835d0131fe73d8", "5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1", "f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb", "b0e9147416ebe901a46900f584820e843b10c655", "9d7199db4897724c06fff907727458ff2660e7a5", "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "0c8f09f66f590690e391a3fe25b3167b174c0f82", "31ed5db17eeb4a0e023ce2b475be48528835e215", "e22e848d3bbe8e75bba09203b70bdb1324dad471", "8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd", "8dc81389a61d4d80644f44e1fcfd35ccfb332082", "4645c1135a824292d44c18db93b96c8402026c83", "61efa60e16c06e2820d863bc55f3c60e86f3f6e7", "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "2645a1c4ee285ebf4081ef1674bcf2e546908c18", "77b7572bf1426b0d2fa8d34fab41ca7f0086f28d", "5830e0816667e08bb0efca538d892ea329307daa", "309acdd149f5f0ea12acb103b36bb59e6e631671", "c3e245a276cd6e5db0a42163a89915a1de80791e", "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "0cb5a80d9ddc9876c73b6013fa927a8202736349", "87a4711136040f5d6929d7e31d8dae881afa5d3f", "41da7c52a09072fd9c5275f03f4fa6f6d41e1aed", "1cd0bc067e66bc1f66a73b401a4a470e43e4bb9e", "94ac7f52e2e94ecf1fd3bac53028967b7dd62f36", "6c8420b40eb13ae209f72125d339963805f4ff90", "1ebf201b34d9687fa17e336a608ab43e466ca13f", "1178beb48d666d7fc41b2d476f6a92450c0726c0", "1a0912bb76777469295bb2c059faee907e7f3258", "7c7ef33766024f4b76ce770d1e94b4ad31202c36", "9d3ac3d29164c2665c371a3c71de75bea753eb47", "eb7f690d6142fe558892f8d2f1bc692884b1a852", "50d871b436317bd387320b9fc796294e5d4d6216", "13ad6164dba75845f0f397e9314ad596e74eb946", "d1ca34311d6572ab27a85d7f03ce8fed2d2fb89d", "45e8ef229fae18b0a2ab328037d8e520866c3c81", "08b70ab782141a2d7003226a0f438a6aea0a0d46", "0f2f4edb7599de34c97f680cf356943e57088345", "a6404e91af8d1644aa7eea307ffceefa715dd7ea", "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "36d18202745ec9abb70d8f7e6a4f28a55871e657", "f52db83298a918d6ad7bda8263f91904807c4ced", "6668ca5ab57d68070f90671a4f92a6bc25f80470", "1d8a35753a9bcf42f7b73ff292fcae9a6676e791", "5d8c94a69414b119b245df4d959be99c7c3b9b61", "70ab0ec5358e40fdcf7247f31e6e927cb21442f1", "dcb0afca54aa2bde50319ad5720d613a6eca36c3", "989282f579fdca0ebdc890cf05cac88c29f9eb49", "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "2179779fdd977477c52703c4feef37450fe0e36e", "714a420173f328999c3b81fb70ce85be925b725f", "6759fd391e3f8a1aea7673d617d3e1b04d069804", "9289c04054cd5b27cb023da8bd1ad298c10e44e7", "68edd8add77c99c60d50aa10ed94173e84307319", "96feb1534ff81fce7699e0440e5b5432d450ae4f", "619a5c54981238fd9c31300c5a45857338742d32", "eac1b644492c10546a50f3e125a1f790ec46365f", "148316962e1ebb7086837e25cbee9ecbd71e5940", "014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7", "cf80b4f78e639504cbf056f29bc1efecf31b1bb2", "8c357c8716e7a0606587cc67b209276b08483f3e", "d847d2b75bf301007a9e67889bdae5b147559ed3", "31e8d53b144efe60be647f8d93e824bf8d0f4161", "97295e92dfe49f37de65c5130097ccab84cfe2f7", "e42b2981f4e8de54213d624d1ef12bad4fe02f0a", "3ff40f0760bd8d3c46d72147b0f5b0d4aee2a24f", "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "ad7dfaadf9d99eadbb001ff0e0974f53704012b1", "8a48975cf7b36e8be367f229447d16ca5ab4a87a", "c9b13a5d5c7a688b567e08d933a8098724c75325", "f26a8dcfbaf9f46c021c41a3545fcfa845660c47", "3837f81524286ed5f9142d245743733766aa4017", "5136344faad16d313ddb47927ca8fd080acd6b70", "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "d813ec3a3442f2885b76ac0133c4c5d76f9f8065", "303e7b842a5f4210f83e5fea9f764767d546c9a3", "53c0ebe6bbdfc7b4718928b1d2f0a09ce899c741", "1b73bd672c6abe6918f91812f4334db23189d1d6", "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "35498b80ee457e409c0962e03a6e170a917c83af", "7f65c6e8791ba1db576b395be637b44995073b9b", "75512a0c23866cc2f0bcf349b770f0fb2ce17e57", "e4df9b008050bdda42670c020d6ebc88b086e36d", "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "d6c4069044b976c48c384c4562338942a842cf55", "905ba09d4db4f5e150457599553610fc2cb7e105", "995495e36f4a2af999875ea4f197ca98c5e5c8de", "c306c207ac7299872280b47c88f28db4811a319f", "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "c94f1aaf62f87d97dd579cb6451cb9149fb4967d", "790fb309a30e3d96efdeb5b16a29a79b7a67aa24", "e48fa574960b23ba65b7ff1a732cc521213b5120", "7e1a8659fa224e2734450cf33cabd194e2c8f2aa", "4e1ade72128a6e530577dbbe69bd0afa0ef0e140", "795cea6b95af22238600aa129b1975e83c531858", "9eec12c62b44d40909bb0f8dde325654c83f29e1", "038251b7c6ffee94181dd6584ae2a923a6b0be07", "2d1b8f60f2724efd6c9344870fb60e8525157d70", "08d40ee6e1c0060d3b706b6b627e03d4b123377a", "ea3801a15f4568856581357cfc4e5bb2de185a2e", "571a29d324cbacd036d8a30ffd0f586ba128a10e", "4a88237199595feaa3f0e3289cbdd201a3ce28ff", "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "6111832ed676ad0789d030577c87d4a539242bd3", "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "7750d24f5861551ea8a9b371f8f9e5c404a6e81f", "4b83eff7c2d758f8ae04c52b7ded5afebaeefa4f", "dce5289a0974fbd0695ceb547f97eecb5158e7a5", "e4fbaf84130f2f526beb39459eaea39552c4d0de", "39523a5a0225618bdd55212da8c51b04d5db789a", "e73696016b43314a7bef6015dacbe702af472d96", "64a5709d41f4c2ef0383cee9932e89bb58085588", "0a81810af97e8ab5b8c483209b4d0ff7210436f9", "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "744499b779a751bcc3a43a45eab6f7704140a701", "5fb894b0acd39a6c8b05b5c736cbb84b7b5d2fc2", "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "329e16cd476c958d1de8af89dee3ac0c5007e25b", "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "a7e9b87e28e252e7b6a4e5e9dc4f09b0830d9af4", "40d3b108399253862a151f242e4906f280c88418", "9b13e0d1a5a23e9b40339432a7a6d6d4fcf0091e", "437a720c6f6fc1959ba95e48e487eb3767b4e508", "289fe7756c5e0796edcdadb6d1a38890010c7cf2", "f7e16e57b93b9dac11280427c7575a0a0ae4e0a8", "52572058f015761f2113aa25a341c607a286fca4", "283b3160f02db64759259b4eb39dd54c4969d6f8", "8f941592d46b98885781060e41cc199dae0690a3", "54b5aab87dbe38803935789c4d730bd203d198a1", "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "3316521a5527c7700af8ae6aef32a79a8b83672c", "9576c9640f174abf2c6d064d2a109eb4a0b1af16", "a18c8f76f2599d6d61f26cb1d4025ea386919dfe", "29778f86a936c5a5fbedcdffdc11d0ddfd3984f1", "0149741d647c6044d830f5dcac0dadbe3a72b43c", "9555785f2a69c6f77e08c9ce85af35026d1d65f5", "203ea8ab1d9c48977be97e6caf3fdbcc84101354", "35d94887e4eb075f2603b2c69b19d31471351ff7", "1c2db743b37306e50c4234da53510c113f50f9ff", "a53c907114b909709780d116acd00dffde3aecab", "c79178a47403f317f837e4a8aa9fd03bfed1dfc7", "06cfc431b70ec6a6783284953a668984600e77e2", "f50b6aba0254809ba83c55d2b144508007c23c58", "6332a99e1680db72ae1145d65fa0cccb37256828", "2703b2e07bd0d11655f4f17a405b3f43ea13dd31", "9a339fe893deb250c63fb1fd31cb818b24ef16f8", "8a1852b1222dc6891d2e1b1a0a14bc8f4ae2f12d", "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "c1980e5d5c998ddec31cda9da148c354406a5eca", "881802e3df5abb317d8956e79848a8c142d283d4", "f07956d0031ff046c5c719296f7916d7897fdd21", "16fdc3829dc8322a26eac46e93703000005f3d6d", "52b6df1fe810d36fd615eb7c47aa1fd29376e769", "d77fbaab4f3883d8c08862b2d47362884ed98624", "0b0535fbdc468d1fd6ff32545a717a8af14f634f", "3d2e872997a0f5f07786121807cffb357fa91152", "e80ac8c09bd1161c8709124d799a25b8af109224", "1d4b44a770aad450744d6b5483314976c80974b8", "3d91ba69bfbb2ba018419342d279f2d7571530f6", "ef3697668eb643de27995827c630cfd029b10c37", "d1e66107eb084ea0ef5a97f3363f8787b8df91ed", "8966af6a8049192556e9c9356886a135595c19b8", "b525a863eab597055e02351acfeab64754d22690", "4335d53e763b2caf20f06928cd420ae09e5041ad", "aae7648c8b3acad61463cc1bdb4f17da40f819a4", "f6780d4ccf4c734baab5b1fcb301021a86446850", "1b4424e06ac29b72535727b92f261f39d065e858", "2b1358efbceda12de2f36398cdbdb3c7bccc70d4", "02a4fabb41ce20d10e4055fff49ac98b86723000", "4822c1bf765cf99193a231c000c19ae5d0c10a00", "3af9e70e81ea67729953c9c0e5269881b35e3cc7", "f938a5e5bc9a309b00da6b372a175e9a27aa16b1", "66b955311ab6841c4644414d8ce2faf6ca721602", "2803c3247c11a30a8075dbc2db6ff96f58c2ae97", "2f4623b24ee7204d12fbfd95d63366ab659f3e71", "83acde484baf81ee3a09c30ec250c11c111d2c0a", "d26891a7769397bce150a2619ddae1636eae8263", "52049fb96156729ce0ad88f86fa617ecf7d237e1", "7b607888d3a9952e0553874ea77fa1ad4f6ba2ad", "e0739088d578b2abf583e30953ffa000620cca98", "38765f67cb480de8d719524cb20d32116e2dff28", "1828b1b0f5395b163fef087a72df0605249300c2", "234112fd23604cae638b133e6581a3a91b8b6107", "f4c0114443cb38a20fc6bb2f1839c45ae52dada6", "bacd919cc95351f3766e8dfe0988e71fe2d0b8dc", "72572392ea68b82f5efe5623ff948b9032cbeab5", "1b9a63f103e15400371a52d48cf4746cb048a037", "0a53e6eb8b48890f7431da7d0f51d6624d4430cb", "e15eedb39dac379e217110002a6576f7bb213aaa", "3ca983d40b9de7dc12b989fce213b4abee652c9e", "62ad7d1b10be9c99b80b5d73ef8183e6dc4673f0", "1183db5f409e8498d1a0f542703f908275a6dc34", "0032567b2d936c463a6ee4f0fa9cfa9f87c91be9", "2472d6e4459dd65cd77b5fce99220d3b30854408", "38a3611138388490c2cd60dfbf795932d5e55a79", "0ad84d9e32bf7f3b612bff5be3492f2e545d3d14", "e61608681a2c2081b2b48ddcfd979d2266ff10be", "4684c487758df6b6bf4b69f3fe22e1aad874378a", "54509dbe70cd3015007bbd5fa1fd8793b388319e", "ade18cf978e4b00fb74352a7eba90b4f4509d645", "e8391fd7ef979a63c389ab0fa7c00fe67e4498f8", "09aaabb99e0cfa932342b72cb4fcdbb2ce3aada8", "95704293fcaa01473e5c0b389d8afdcc0178d8c7", "c2484fd7e368a17d25bb76a0644c6978d18d16fc", "7ea07b7b27d59300840df17e5881dbe3a4769872", "99ae00a21c26e59f565bac8afbed0ac4bc1b813c", "5578ce163920cc5ccfd709e6ada927d508272b51", "17614bcb0f96d576dee34e1349f8be3d56786dd2", "14f936e4eca8382ad835bf18b4a11d2e6682fd71", "cfbb771b7ebbd6f318a1bc2241e7fbcba56c9ba2", "c896946612069f162864edfbecf5c1a8a077ed79", "6e0288b874320b1b6461016fde8b215c3ba46b90", "4106c49eb96b506ea1125c27e2b2f32ad79f8c48", "3d8c8acb8c59e9f23f048f44a23f36ffd791cdf5", "eb22aecb7b59ab01acdf498b33f5ba9ef1b64f64", "4f4de2071e649043fe220888fc374b67d06f2867", "8acab2740c5b43f1d72009f849c1a8802d98aef2", "dda1be806ab56ca58187621a0c2e4d2b8ad429ac", "78e6b410d56d65a1a6af0e65e07fe8afeea04af3", "fae4185a5fc540b057ea9e0402223e653327d0f9", "c7aed3a33f4ac320b2b0d2354a1763b3e05b5fac", "91eb155bba11c8f0e7e164c30c4e097d00a9df51", "c3da60330497cb948ce1741f1624347ee7acfceb", "5684d284310582ae0f69c5b7a4d6b791a13fcf49", "24d630946023cb421b9d960dd9983b4b5dcb800d", "873b28aa7cb9e4a923e46338be472d910aa87a3e", "331429a6994b73c25ca0c4d0e2794e9119ac870c", "100f57d2eb737d6cb467bfac6e4bbfa9b39e774f", "f4b15fdcaaa3ad604b82df05f5d7f59dbcfe861d", "f7bed3080668246b517a0c787698b53f67140a7d", "907189aacae7bff389d6c6592d6e2586dab5168d", "6a3cbe2bb27b2a7d32c358e0be4ed268f7d4455c", "ebebf029b390fa37530e74fb18ae2f592475cac0", "48d4b174736902b6c773c139cbe83588074b03ec", "489a91bbe01a5bad1d333dc1d0d15afa7e712ff0", "a72fca41dad5bbd99c237c06311faa52a4a36bce", "665e6aa652b99350a08090faaf9d4bcc7800186e", "27f5cfd010f5414b7e0426d61df4f204432623a4", "6b25122ad5009d53321f9eb7f960947d8f353d4e", "07ed099e7d9c88d8e272d7191a4c7c5a68e3a6bd", "15e27e189fe9549d674ebd0f55a7bf1fa026cb85", "7be6c9234351536f3ca8c1f61cd12dc9e94f1a45", "3974c8a9894a6ee33969fe556e6d18dbaac771ba", "69df1b392fc782478f8ff63040855d50514ca782", "c7da4495dbefe97addf3d67a11cc3089f54bf799", "a5f9391eb46c27a7ae7b5d3691338fcf141c39ac", "b196d2b8a79446b9dff3170b38b8480744194ddb", "60cc2e8abc20c145727e7089c55bdba5722436d0", "6fac6fb9b2fff94e2babc4906646cf6427c591a0", "00c3ccc8d7e799a39ca15415775e89e2b41a3972", "f7040d2109cb42b373b1785ccb7a03faea824873", "7fa3d4be12e692a47b991c0b3d3eba3a31de4d05", "37a3e7a01655b4806df2b95aad193a2965e48a5c", "d3b898fbd3e6d788020f07c8514ecbbcebde8b9b", "b96017e1023e0431e326b78bef3cca2a083212dd", "8326b11dd0b81dcc169ce21fc12e0c9d632db6bd", "573c11e7e00389a033787984223ced536e15c904", "422e46aa845435822b7d93c2fb9103cd94128a21", "253325f09f07c2f7a05191f76e4977f473f4bac5", "0c15cf65f49695c5be05312e41994e2806ea3d17", "26ad124271c118e207113ae42f0fd3d30f204ea1", "9da04235f7677d1e22754125465656c93f2dfbea", "56af5fae5142a7777001d80a2df0aa644186c4e8", "b375db63742f8a67c2a7d663f23774aedccc84e5", "5665d98136cc39322d47cb782b8e49d141c5a29e", "fef3e7da849da4765ec6dddd10316b2da6ad498a", "7e8aae934643c566eb90463424992a73cb75bb3b", "6db59b031406546682a773baed2caed529aaf37c", "407e4b401395682b15c431347ec9b0f88ceec04b", "5f534bacc658f620a15b5647adecb0ea813286c8", "caacb99b5cd40992296f914a3bece80059047400", "330b66b43201057ca41622256737eceed1c5908b", "49e6636cadff564e47f6fee1063648459d92d847", "01424c2510fbca67c3cb016ac919f6a58e37541f", "fe40be62a131deaf62a5a313e2842234845ee200", "ba87bcf4bf799001641b7afd7d1025600f57c4a1", "3c0420a0dd90d0900613ac1f1a1174b626df26d9", "422f22dc13e581e09c4ed705091c73e1a676dec0", "ede0c040db8e24ffb1cb24cf435e032276c7f8b7", "2603efdc673e9c7cfa0c1e1dfda512b6ef54ea2c", "c4f628e04b5dae3d0c949d08b884497bce2925fe", "3f5158ea65bb483c6797462faffa16fea9f0b004", "a4b09fe27dc38a7646877440d76947cdcc895d4c", "0239d0af254c5304414db1672ea25ad2e1cdf2ee", "bae912f94bccb41e5492d8f1efb1603c86acd1fc", "b30f9116df47ba70a71e04ba8722a13f87719599", "41ed93fd97aa76b4abfda7a09168ad1799f34664", "b85645681e976ad7a4800cabd316bfd3e0bee362", "712f0a7a3a026faf42d017a95fc609644cc9f715", "d2a9abfe8d7b1163d055470c5b60394c3f0094b9", "28a16718b633dbc7f612de637fdb0d49c0e09219", "2b0a27ef0b49a6d067128d831046064c12bee37a", "2897a94242d205cba5c7254930a3b4c732d590af", "afe5066281a94061d5f76a08335b62d75a1d76fa", "2349eab05cd0c6f94ba5314c037d198aa12c2f0f", "9e179295ff4d894b92a98e5323c544ec6e269891", "1f614a97e16671c091b1bcd1a33e1280822b53db", "a62dbc13006f6a647e89f9187fa0f3d6ea782b82", "7e59d2d3416537dd958ff71b7a0bff87e639dad9", "34df09a9445089c8f23eff5b2a43a822c9713f6e", "90eb9f6a1b7e3dae24e438b201e6b1f671a87eb5", "72969929a95227fd7f9a1abaa832097c0c93dd71", "643575e188968a38b1c318d568d26d7043df9f84", "0d5f898d59ce592ce5cc62643753aee72c4153ce", "0818ed460c7c0d7bbed760145fcf83b3b426d344", "074c658fac7d7ebd88be8a24b46f2b301a9aeeeb", "26fcfc86bb0a20a0a9b5919ecc0df5883c220d1b", "179a37cb5416cea7d24b5820e75327ecf105e488", "fae9be785b12bd2917328ee9f3ddf0feb6bd571c", "1685ac0f9fedd83a178a2f64f25155fb37998d8f", "47e225ad6293ebd589c3c1268bcb70730cfeb8f6", "242c07160d7de751dd918a1a331cb157776d7a22", "c39e647e7a76ac60916f1f8b9ad382b5d68bc5fb", "8a091254ba45ab9fe7d72c8104409bee5aa8f199", "c6481bdef3a75f74b7c28bb957755f75003d869d", "eed87e0cab48938ad5a3809a04c0f54a7dd39cb8", "6bb55ed3761eb1556acbd1a0d15c2c9099bab0b7", "96416ad7328b57794e17c2f83ecfedea75c84828", "191753aa338f24bb41f7bacb4326e0c0a1b90459", "278eead9d16d003e5470bed36f4e3d680e37957b", "d4c657ce3b7e47237201393aa6bba0e19442bfd2", "005c996a9059af96454c3d6f83338068d3608585", "07b9a622f4a167c653d8ae5d73071608208f94d6", "1040a32d5bd5e6f4c8bc1932345ef93671e2c019", "3e3111f5f9285a2ff481a6668f734b4e53bf2673", "904c53ea063d7d1e13b99d55257801d69d073775", "4f5e1e70f51b30e4606f991ed0e912c84af90251", "5258aba47a9248c336216accbd9a8fd04e6e486c", "434fe2cca3321c08ef30a0076864298cf608e0d5", "9b69cf7c6b3148fda4bce898b5f63ad8650b282f", "fefaa892f1f3ff78db4da55391f4a76d6536c49a", "3b15a48ffe3c6b3f2518a7c395280a11a5f58ab0", "2f1c5d6cc5fba4a1d6af1adb6b4e7804f0020c2d", "465e8625141ba0a641359cea9f478767a26cd7d3", "61b288d120a44a0d92bae6e940eade40b1f26484", "05605b7c951267ef23408ca5b80dfd3b5c40f3e8", "8b4b0734555e446888f05c25ea330c6c53ddf307", "63f367d50b248680138cb4b3aec3143fad3a7112", "8338a6a0c1918562d821fa00f13eb30a42aa5b07", "65086cbda9714c538417f7b25f9cf661e6d72833", "b4e8abb2a5220732002e1086fb4a214122213fea", "d33beb4f1477374fbcffd8e9df74ca2547eb77ee", "a32dadf343f811e6837b8ac5bab873674fa626b3", "60f592326a1537d63e13a2c3ffa3c03f0c1be6e2", "24475686f64825c6eb503e57636fc1fcda724407", "ccfaddc870dec71195b2d733f0901195d03aa251", "3f42db34a79cf600b416a246ad3fd146a4afbdf4", "f1c2ba8c7797c4844fa61068b3ce9d319e6ced3f", "22267d537cbaed08c2005c42f251bb6097aa1505", "24cbfcd31227d232d37d4e257e8300afffec9182", "2edc56745377adfcf60bdefe0f61064ad49c282e", "134f214cba50b25e82359fdd182fa0fa106d4792", "0020784920bf7ff6cb51d0b6061b99fd77161c3e", "732d0d3f57e93c96ee85c33b39012111a90624c2", "935ce31268232b25c9f685128ae0ae9e5c3a0e8e", "c3831d2c4bd6acfe996d0e272b3c5f4fa03e8425", "1c6e067098fa86ee3f96365f28669b06f9ce0c7a", "88b40b93bc00b91a42ba9392d20a6d01a5ae7592", "8d39eda4a3d8bca380bf3293fcb9c034a6abdb7f", "8f34d05a3353329079dd327be0c013669c8083b1", "bf3a09f7598afe4e3ab925636f167e55f2b70a9e", "4286b193cf1c381ac18d1fd994d6acd2a284ddad", "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "3c5338479915115edff232b2a871c2e73c971c14", "2784ebc97a064bad57d8339e736754ac15f10bdd", "2ecb3e485b4935d3f7d25ebe8179724b9228bbec", "863b15316453bad8ee8da5ce7c7bc460d74a4bba", "0b57e48dcb065c4675c62d535f9eaef876cb3d69", "5bd91c5aa3468d3435ff33d03b3d8348724f96da", "3db824136c1a1d447a1fd20fa70e478097d23fe4", "504bf308431785153402b7058102f6920a0d8ab3", "5e6ccd81669f7da05effc109bf349ca7ce4de2e2", "c757f6ee46208c1c26572265803068f8d837c384", "f3d6b854e605abfb3270ad309eefdad7300716d1", "c25a8347a108678cabfd80575c74defd838edd9d", "e45374e8d9491fe396497fc9fd91bd2f2f036315", "a73bc57fb0aa429ba5f7f12b6d02e2c6274cabdd", "3f4607f71888df5b69719cc926e8d07988f82dd9", "dbd3b57b942cb860207c377ac41d777f51ceabfa", "885e6f1ef99d04a057d2543cbf2ffc9e7bcfb309", "a25f1b02c63857482dcaa621f3a52e2b34d8b022", "dcdbb5af93d240994c3e1eada67405ee05c04fdf", "3bc6ddbac68eaa89487d29abb0d25d85161d3ae8", "fc9766fdbe687b3c8b93b6d164357d4918687cb6", "5d09fefbcee2410eb448dc75f5957bed8587624b", "0ff1da972f03085a2bbe87b88940da6201e1aaf9", "fde6f06101aeaadd47e8752ba35583ffddb73667", "28707ee894ec3d9aec8c98887dabc6aba35cff82", "71ab53b0b3635411d5985f71cc56bb1784023834", "891ecd15c285aeb7286762b8a02e9897cd9df5a1", "d48647a035eb108a0df1daec63177841d81d3ea5", "99582ce8439dce17d9d6f74eb54fc5c89dbe06d9", "d7431a266a151fb92abb7ff93fd458f21c6c3c41", "df4e60c93b6d3079f633a078b37662130f54a5fc", "12fd9a2349446a47d50251db6f981a12330f5ac3", "0dc11a37cadda92886c56a6fb5191ded62099c28", "5d5d8c802513c2889654a880345e5a4bec51f762", "ba97bee7254831a2a9dfb86c170a111c4c248413", "90c01ab7f0516990e722c366155a796577bd31d8", "07a65c9368d41a07e9ff1065e5a76d69178008f7", "de11bb7e73d96ad36dee8b0f8fa827f18cd3ddb3", "0b5c3cf7c8c643cb09d55a08b15de22e134081be", "4e9eb9e4faf5bddae87e311a744cc04406a87fa2", "934824fcd19fcff4baa2053ca669bef4c614143c", "434acd877953b066496720ab1078a2be4398a632", "06390000bef7eaaf372f1f5e7a23d2f550ad2691", "017a5a3f7d0ca925ca0b72bab059526a03ed6476", "405a70c184e00eefcf797a0e842578ea0b51f6cd", "8d177b422cbdbc793d4fb6b82fc2745a508b6cd0", "100b416ac4c0867dd683e75249941a4a6e178071", "dbf2ffd4ceb7714dacda92fb7c9b0f962235587e", "548329f292f62fdaed27298e657cea465c3dd229", "3e211a93388dcf29dda4cd6d3d515042f2cffee7", "6b3c9c0e4d47bd960c0adc4d13ae524a5d9b94d1", "040da12c3c523e15bb864b114b551c5306c6846e", "816617fa6801fb2abd3d4475c459bf6e3221954d", "e7b6b6c7311813b69316eafa38f92bef2dcea13f", "24dbe0a133908500d25753542bbb720d71678c42", "2c0a71b5e111d2c7d99c3f23989d317a0d845adc", "851f3dcfde59313dc2c8b87314f5a191d82194f4", "7fbbc20eb5fc2f023f60d6b907765fa0d2633ce9", "06890d068a7fb82fa78443038ad26ca7623f7a98", "a6e901131bbec0b754647cbc1d7a7e3580d351f1", "75522dfc1610c8765185c4344d97db33e1af5047", "dd6a938aeec20fe17eb9884387b98116a6fa7f5c", "5d7a207f36f22dc470a007abf1095d30e8020650", "730c523e478725676ecb0fa389af644baf80627e", "c1100efda7c00d3181a6a065ab1474c2f864e267", "e27567dd2f70344f156a2e1ecc54df8dea7e7027", "d0d186779ae4a4e53101a26dc741254e822e07ab", "6dec0491f7f2ed1b1357d93d47ce5c082683401b", "5c138b421a8e7d14c33a1dd99ef57d24833e3e84", "2822a883d149956934a20614d6934c6ddaac6857", "09071e54b012fd8b14aa351a73d44190707b1409", "1f281b87ef58c0dd244ec4743fb1f899b4948308", "ea3353efbe7b856ced106718d04ea7d83e2a2310", "1be15c1b5755c6176b2894abf05aafd15e43d6d9", "778eefd9f0f6189456fc25b7cdd2c3f4403a37a8", "71286a2b3d564daf171cdef54ff8972159152729", "26d6de8fff278fe887b9de3f446d6bacc31057fd", "d2336dbae3916135bc26dd064514441ea94a8a2b", "56dffd751df9936f98ba871cd0a56024fc518369", "d13f176178f90efa6f91e9f45f710e72e5675c9a", "47a1aece15408b93ecdb4721a21e2841624319e9", "532f070082eb565704a2f6481ed64bdbc7e6aa24", "a312599f9a842cf686c6cf80b770e05840d32a5a", "2f41c7ba65fa3d2819469fba450754266c98740e", "3903cbd56446436a4a3b8443c26c90fc1b69f5e0", "83d0b7100ddce32e37af72585f9aa4181e6447e3", "82594dc43b73453c958feea6ede8472cc0af869f", "413c98ff2d95b5b945825268fd8ffdc65880f715", "5d31ac0626f1388e3b22e9dce8837b37189e6269", "0754be0801b5b7a3cb9e4011a8efcf3df8f12bd4", "680402e42c874c14a32146865d985588985744a4", "25e06d516f3b26fe84d2715e8d9b347c0ade2fda", "135de89f2fcc94b7e7db7cb21097855b66c90fa8", "457d3ca924afc21719d19175caf285aa575d1c90", "4ee87ed965e78adb1035a5322350afac9ca901f5", "fe464b2b54154d231671750053861f5fd14454f5", "517918025bdaa0dae2c657b3cc265d67dd38a029", "3295ec2e52cd83cec75fc7c7064a843756b4d1ee", "72cb689ace0277d64f45243af8f66a8a95e88c44", "09ca15b1c1d65012e5bc07e5a44bad7b72609a02", "4c95912db440086efb2b7acca4e8a1693cf4b3b2", "070199a5087590f96c4422b82e4803911bb0652e", "f74dbf3481fc3228ea821da232128b98ad5f7a60", "05c1fde513e23e2ec95bb9366665e716a2fcea7d", "33594e1bfe93fc6c74c2bcfc1bc39c524fa9e2ca", "3c68834951564fdc2ace1dcd5bf7d1317a22a176", "0fd53d7e1ab8f42c710cb77b5ec4cc2b22158a4c", "6ed559a0d04e7d4185eeea43f77e372483982e4b", "036839afdfe7ae59bfcddd22d2c688b03bef3bee", "7c4864065f4e107cb5be49a8dba8cf7d94b8340f", "71f2175dc19f1c61aecd97c5f7ac70bbd477b961", "591a4dddbebd3d3ce3d86f9910be40aafcb73a90", "d82a39da1e524f6ac8b5622002bccb974bc9b69e", "cd490432e35ed5c5b7d80e1525e2780d7467ffb6", "2b8f87a454b80da5800337ccb5579cc7afbef45e", "8558ea46c8f7e56c57073b27408c6638e81293f0", "fc0630823bc02d8ad7a2b6dfd1e457392ec525cb", "04c6810b810f0e06f68954efb937a28de506aa43", "36c9731f24e5daa42c1e2c6c68258567dfa78a0a", "400aa5cb2fec558f7827c3638993bae34752ff31", "150b61a610baa6b00557acfd1464af53f5fa27ac", "77ca49df9b6616d3234073f1bf647e0e3d5795d8", "74cefa1d796c84dc4343fdf383f15ca1e8ebb6ba", "fdaba5860f753b1e5714d582db9851cd0aa29139", "22859493a419d791ec737817df53f5225e3c48fc", "275260b6118b56ee2a3d6bbdf250d0e424b4223c", "263ed42f7f5864a8933e4c0a361ddc198d44695a", "11b00a4be68e9622d7b4698aca84da85aca3e288", "50c4ece0f07f2fbc3cf2fef98df24aeea0145899", "ba227bb94ea9414bad8846673c904a10d813e443", "003021d47a752fc2d8bb8555643cbcd6361e74b4", "cab31574a018a28590b92d60cccd9cde906d9b88", "ac5c93b789bdd557b90ce77221f1c01ead63041f", "563523dc73375693314c20e1fe2a65e34915cd8f", "747fdbdb1fecfefd3eb194da4816a85a61cbafcc", "7b3231245a3d518085c8e747e2c2232963f49bc5", "1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8", "5d1f177964e767ac5ce7512cc33fec728096bd07", "26cdb9b6d94c1d6c6a01792fee3c176585f594ac", "267bb08aa4eeefa1ef653716ca0ab572748a3a4e", "a576d19473a12e16262266989376ad1e77e8e817", "69ad645516fa5cd4cd45fc217edcbf83bc0f65be", "ad15e64c93676b57ebcef4c2c4183d41b246f8ae", "6481ca04cdfd7d37ee397783120d12ba27569cc3", "5677e80cd3f3924ff4bbade111d012c313b15d86", "1936a73920c5a7eb97e8b73cb9a6096aa509e402", "d88aa79ba54c70c521881eff72933a9284570091", "a95d653f96c9f17e7ef4466b673cdfab2fa0aead", "8ff967ed7130f81abc896d7b84f7c629aed5cf49", "ebabf19e66ef1253fda8d39a0569787c65e60a9e", "242094969481f2600aaf66d0e4e6567569d8cc5a", "085ca7f8935808986ae1c6afbbb62f6804049f26", "18fa509413d418d7a5ac9f517b86530fe3a4bda9", "877d0d47700b82da0563161f57cfe2dcc2be0fbb", "0d82013cbe9f65ddb34e5d99eab730fce4f0effe", "78358320d0319c9239c0379efc0e7827b9c948a2", "2dbb4b45b6a392268ce45d16fb944a652d434bd2", "436f798d1a4e54e5947c1e7d7375c31b2bdb4064", "03ca829e8680ab4cdabd491b3b42639c58f4cdce", "3394168ff0719b03ff65bcea35336a76b21fe5e4", "48857fa69a4c4e3dced3f6c5b60ec29b6e621feb", "0cb7a27177a782a091916bca3d8edb02f88577b5", "21e2a03825b260a7dbccafc0c113af3f9fd73581", "a3dd6a08c4132358877e3b3c3eb87c3f3f4adda1", "ef11f2cd92ae23832260184db767b8474bd84273", "28b281cc0d527d3966d753f5d96b3bd0ede10e25", "980230e7d3367420c35851bf47b40dfbe5b7649b", "cc392ab1cfaee298e05488a4a1d84ece12220880", "683b363a20328ab7a423cc21936631cf493af97b", "f48665764089d42bb0123914e4ed0a3770f5d706", "3752dc15fada54abc0af866273d03a28f4dc8975", "663cca096b98c8f0444608b188e464028ee34368", "23fa51635c646aa621bb18ff76f31d5e48ac969b", "c11c89e303a6b46de324efa01a0f749b4246c516", "6d2b633743178bd5aac1073b60d81ceb41933a4a", "8161b85a9d4593bc58f225a3aa29eb9e3f59f652", "87779d07a76b1070a1c144ea680bd7c24e4acffa", "548318d42e251b3ed7d98748a07cfcfcd0594575", "f4a9b4a3b680ff01e8e2ee7f532161905db91c25", "df358507940f83318a812a2d7ef73f8d985333ad", "6937fe93e6238ee21904c172809bea0086da4570", "3db349ea211ed3e71baf7c7f6739ea0b086c5db7", "6ab1b6dec1b3f547af977706ef0a51324fa0640c", "dd7ed20a65d811dcf863f796d6dcbe873f57e7c4", "9e48808f283598edb5a78ec2590a35ff163cc8ed", "aba742ca4edc7dd37ff481d12e4b94c153baae77", "02b21488531c0edc44f7622a035d1b980b5364ca", "04e2f0de3aff901d94b0840f7d2fc303639ece4a", "06856633ce8dab74f6631c3f132d985acf2be355", "3642ccf1133a965ea943c212b3314c792730be18", "079aacc817bcd84dd8a2e20666e8a62d60ddf724", "8ab52e11760b929a83dae617afd3d55fb528d110", "af2b0d3a6ffac71b2be2110e493255b72ed93b47", "dceb0c8093171d5d044fb23b7a9b212634babbc2", "91ecd2e705cf27abaf38e5c1c25a19ca01c16124", "4ffc1e005990ce708f7e8191bcf14971b2d26e2e", "320fa803436ea0d94ad73f9b2c5c0938de4ad6bd", "164f3b9740d9ceb14658237fddede0f86b5e0c47", "0fbe3aa3f288949c90956155bf706a9f33d173bb", "29d9b6b94a36c02889809594b26f3785bb7ab146", "4f6ab8af1b059e6130d5fd8c4e4adee4079ae2e6", "642486fd468e818fddb8a2ec156535a9d74fa4dc", "285b4e0493aa1789801275869cb3e0df1fb73cfd", "93a8dbd0823cc1924bfe37d88af36d4f0545bb12", "300073a2f9720388e35a27e11ebe53c619969616", "21fa37258834c2e3f075a8465d8de1c178cdaaf5", "52bf00df3b970e017e4e2f8079202460f1c0e1bd", "4fcdfd50ddc5690bb9d4cfb986598f3796baf585", "d291569f332a216e2a12238a117d747b0f4ba880", "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "d76f9f0e8f3f39553ecafd311d55bb4964fe13d8", "647c6ac5e0bfee0241d583650f18c6314f28aaee", "63344dee49a1ab7e27ac34eefc30fb948a0bf9bb", "ad560c4c6b78da4736962df380a42736909cdb3b", "4aa2760c43996af6231d3d61a7cd739389766641", "191a3f67bfeec06383d083c9d826676bcd9205b2", "5b818c73ce5681e523d6fe9ed8603c7afc0a9089", "ffb2b60dd4b88480eb4b24caa06fd096d60e9a67", "b7c2027a8ab6623a33d103ab4919ad3033badbc3", "0ff4b53d140c2af0771a8a3dfeb17c149659bf07", "09edba9db405dde61630c70bba00ae9c5dd7ed37", "f1f7ee70b2fa29a93ed801a1da9853a4c51f3f05", "ce1cbcf0f671423eada02e6699d637afbd9ef570", "736d3cceaf78b9e97bf5b3ab4621743c1cffa782", "6ca3fff996c62abd07bd13f36a9d552e91d8ba5b", "a047ea8f6dcafae5ce077952ee2b554580ed072a", "4c6decd726d04b916d9a2cdd468c64a8a0fc2fdb", "277c41ce2a485f09a842d793e599553ad751d34a", "8c722d85fe25d1b0a14c4e8bce8b2ee2cf7c13df", "9c82f58ddea417b1044f64ea3a7c08899be6f29a", "0acc526e1fbef5bed4c63623e370a4710206e997", "a34ad53bd23ba33eb2644acaae821f08e23d1c42", "3be772572a3cdd81f53298336c929571e0e096fa", "0fd877cb088e38b00b44f52f5483be8f356788c2", "955dc25def91eff6bfa5698249bb189ccfa83367", "e9a1b1cfbfcf60698fa7b5b8738f5990182abc3b", "26db78cc0cac058ea6e46101ad2e7e91f510cd2e", "e9a8e80bbb4cef2167dfc0505392518a087b7e0a", "323fabb6cb4e74518fd4c7ad6ea5a1b2674e63d3", "2ccca849b37c26f403f04de2822771412f4197d5", "1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4", "11d04269aa147450f37215beb3ae44207daf3511", "d5e035db391f545ab4d699e7b4c73d2f3360e2d7", "7340b7cb7620904624bad5694a32cf66bd32f7b7", "92b2386e11164738d9285117ae647b4788da2c31", "b704f8360c369e65f0826ca23dac2d4e221d8997", "49ae4afe91239a8259dc0c390179d47bc395beda", "a7438874b2c008e614c46151fe244e5cd8455a29", "14975c7487dd4ddc85568e4b114ff162a334f66a", "61c4969c78cff37357ac794af5ac8e439751b39f", "bd8d3bce895143e58579e6ec7260dd4a41794cf8", "490a0174ec7ea3e838754ec883c2aa5ff52f8221", "02c2a29a4695eab7a8f859bf8697a5ca9f910d70", "2ed3ce5cf9e262bcc48a6bd998e7fb70cf8a971c", "d8781a8d68eb429e71ee784ec858cc37f55d3957", "3ce25ff9a72bdbec5d39f6d8c43abe4d932b4fab", "c2251f1427a7e0c8e94a70950d8f08c205aa3e66", "f4f681b48b858eea88c5eb252a7b37409cd2ffaa", "ed283166e0238c4aa801bc76969776aaa73c5a77", "7b95bd44db15f7cf20bfc051c353841f3fcea383", "eefc06f6e6af1c2b9b33fb12bdaff73e19a31d6c", "521482c2089c62a59996425603d8264832998403", "b74e94e426c50b1bfdfce063b6521a464c6b71b9", "da19a33303b7a5ffc04e3e7d17f8f014b6ee3566", "1d911007a6f2832e006773f247fad1f729d1c6ae", "ab450a7968555532d9ea79f81189c0d52f9c5f11", "48e34a0e630953944a9f7450316629f538e20e0e", "76438df197d4cd0a05d0b2c87290c1cc2da2c85b", "ae93008a90842c113a426dae46a821a9a42ed731", "06ef2ba33ec911aa0102fb938b53bd3cc36a475f", "a2e33ea056c881c12517a254ed03f550082bee94", "e2e19b7259e43f7388bff1f10c5bce0a7c16dc38", "6fbc58272384ede0efa72753d78f1ef6db381ad7", "6419037ed7396bcfa45ec995ce63058865889e72", "0748b29b046d0659765649f7831a319ec23967e2", "75d69d183a1a9e8312e21e88e40fddda0affb96a", "9209095ac450f14c603582ac01692b0f11c9c33b", "6910dd8525776b2f7aa048405542abd8d61bac5a", "56a74f0f8f18895b114839ee53c2f6e36950a5c5", "3b9fa107e8d68590bfb7ac03056c02ed0aea1c29", "6497eb53fd7d3ff09190566be8099016fb49f801", "ea586a20cffd4b3c825ccd34d8a917ee058c4aca", "520e8b71c39dea06b296018a60bcca2dae53f456", "03eac9f1a4373d3570a024eb3983bfda235e3cbf", "6c6566261ce22d11254ea45863e8fd6e13316be9", "29c362ad0d13f9e60a25442c2298a1933c163431", "6b960dbe5372d7bcd5e2336424c0c5e37569dff0", "849f56689d6d947770ca3e1f582521754ff72c4e", "31c846067016220b31fd442663ba42e50f524d25", "d019bfb44fa65f7bc7b6f50f7077d609cd541427", "bff4465ba5ad9af448f38d8aca6ac0a8e22a577b", "3d4b76fe73ea16400d62d0d776b3f43cc5ecf72b", "065ffca373469c95db28891889289d79e873e2a2", "55266ddbe9d5366e8cd1b0b645971cad6d12157a", "4a48a8a6b3efdfb353454a762c042fbde343632f", "064aaad2a9ac5044b333714e61955631faee87fd", "550e5d7f607951d7e33e8f23eb6b6bc97780915a", "77516bc906d7d924cbfd8a2bf43dc06eea516163", "c200e8f4b171777673cd543f017368629e4ff69c", "ac89be25278ad9cb7c1f59ae7e30ed667b16e977", "ae5e92abd5929ee7f0a5aa1622aa094bac4fae29", "1142a9d15d536d2534d6e757911efc0716cbad9d", "1b71e4b59358ed7ecf6117e19fc944307e58a7af", "219a40b7c85ccdd377feef710aa9ea226c2932c1", "fad856784bb87c72d7f45eaba7e0457ad57a258e", "2cff8237001922e7cb88c2c5d156e6cbb17ef565", "ab85c4082470e8053fcb418d4ee33659dac57e08", "275b3cb7c780c663eabbf4d6c6cbc8fe24287c70", "d4a398aaf49807f1616bdccfe0dd56e6311681fc", "40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80", "1299d40434a894b4f443cc0550e2bdc30248dbc6", "40b886e29d3e553d4ecbaa7945a75e709e0d5699", "f49f1028052baa1588376a78a9dc64812748555e", "62eb53fb0fbde20945a5bf04fd63249157f48002", "f56a9a127a0c65f7a0977d93e260d74ed4d5aed9", "95b5296f7ec70455b0cf1748cddeaa099284bfed", "0b84f07af44f964817675ad961def8a51406dd2e", "f741cba061655581f6fbb628613d0669c4bdecd5", "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "8961677300a9ee30ca51e1a3cf9815b4a162265b", "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "4cb36aea73a328da8ffcdc616407bae3c908aa07", "95ae9f187044b0000ca371ce6557a076a5ddede3", "e4819f0eb03bbd2164636c466763e458058135eb", "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "0d7810ba414b746b0d4f73aa94042bb0ea8f324d", "5a88b2b9c77ae830be0b014d4788420f6a748723", "7d8c2d29deb80ceed3c8568100376195ce0914cb", "b3e720b349f97243bf7bd64f39c54d25525ef14d", "989d7ee9b43a528f99f33a9f92d16ced735019d1", "b76f0271893b93ed28c32d32a5a7200f2db95ddc", "7229bf0f7111c6a2856eea30c367ede3b3cc799f", "d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e", "be21529c47b79b688b420c5e296086698ba11350", "3849c22a21e475d7ecba0afd80b9129eb006a72e", "684c8acd49148020e9bf9c4f4aefc03708a6dac0", "30666d175714e29f03a2a649955e714b0cfd88cc", "1e2f07f7231eef629c78cba4ada0c9be29d77254", "193089d56758ab88391d846edd08d359b1f9a863", "15e1af79939dbf90790b03d8aa02477783fb1d0f", "9dea76d985e50f2b34391f7277488a2dc31ebaf3", "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "456f00e213e03058a056069fa75c34929cf7d4e9", "63b7a821f11e6ad466be5bb1a3f18549d68a9cb2", "35b9af6057801fb2f28881840c8427c9cf648757", "a8d665fa7357f696dcfd188b91fda88da47b964e", "6b6207c49c7b41b171388fc2228304de148f0a96", "944efd74c6fd812c6c495a11e7b045c9b778702e", "7b8aa3ebeae17e5266dac23e87f603a5d5f7b1e3", "e69152334ac7bbb29d368862cf5ade75ed9bbadb", "5328a7024f820fafdab4165777807c2ecb855fe4", "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "0935f094c9693087a807529a9fe1b096df0d7726", "311e4361ded641dc6f007595dc05f5c77055bdba", "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "beb0239feac388e4ee04492159a45f7e2c71e1e3", "d1263c5b58a2591eb3c1e35eebd78f3caf0a3716", "b086e278c5ac61c024e89b302fec87b2aecf9281", "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "8ba606d7667c50054d74083867230abbed755574", "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "29933de38d72a0941d763b7ac5a480e733ef74a2", "3529310a5b3a8b5a576651dcc994ff1755e8560c", "ae4d06143a6b46ffaf5d228b1fa464dc322ddc18", "0c769c19d894e0dbd6eb314781dc1db3c626df57", "e20e6c134369e3d63ba0cbbc5f2088db24bf3d2e", "4d51b155e7ef7fd60a3f275d7885d07058f5aa5a", "c3e9086c01cce306620f1968958bb16fd9c084a8", "e75575717530f475947c3ac2727621a67927901a", "76cd878c37bcdb8b3ae678e96c9b7700184ddb46", "6f5a3c34360caad4644aea897b8fe7dd72076d0f", "bcad8f845a00e8f2a071c6d200534e52f82b5bed", "f423e2072441925a16d95e7092005abf602b7145", "ee7034a5ef168f6bcb1b5892177870fc2563a646", "c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2", "901670d2c74a0630d991e1789ec0406988e809cb", "f6f0585ee1e03044c5e346d66549a956886e42e0", "211f413e811c7850446a1d24b52697b72c81176e", "49609ea8946d5c4d8fad96553b10e2b07f4e2485", "59ee327192c270fc727c5f6d2ef90058ed072b14", "f8dfa96a9d146b23bf266d6d880e485e636b0f60", "95c5908d856010aa9836a4f1a6cebf3828bcb9f6", "2933da06df9e47da8e855266f5ff50e03c0ccd27", "af10467547324b6eb1393a6148d8291539eeea1c", "0ab5a9e10ef99b71ade05f8d9bab3073232a2ef6", "ca19bbcb4d8ec8fa22d6a2536f349dfcd329a390", "15c99ba792bfb0496694884af5075c81a266ee46", "d9c536addc6f84e8b6f48a555b0320992f950b1b", "09e5f2f819a21162d833f356670a140cd555a740", "092b64ce89a7ec652da935758f5c6d59499cde6e", "397f572e759aed28ffd4deb2d3acf18c991e8cf9", "f96dd74d4dc828cedea8b82503effc7a012a79fb", "fd32b8424e9b250f797310929082d3cf60bf87a0", "65e961f8cd9f7a343884b86c60bed69cf10e1983", "46eee6d5c5b1de8f19048910a2f862cf10f2b874", "a905cd521e6abf75f847c8a1bdaab9f24c992d81", "89d590d7013433304aae1c97debd257b8dd801fa", "8ee50fd3e19729a487f7196b682ccaa2d17aa0df", "09c4f72b8d0bcd2956bda94bd0776c14ec051819", "914c859b7d991a7e9c733011e1cbbb4277b6bf64", "27caf667432ad7dbb01921696857303641b34f83", "490fa9ee39614e1ef1d74162e698e4a1f0e5f916", "413a184b584dc2b669fbe731ace1e48b22945443", "7fcca469ded8293c0a77849a1b4fa39a427cdaac", "872e93c59ff55ccf402337f066bd04d37ebb1edd", "19cfe13e8196872b81d6f31d2849dc540d146f7c", "4cf17bca0e19070fbe9bb25644787f65fa6ebe1a", "dd5ef2a12753c5c923fa6b8033384db7875acf95", "0d555309828e4c31b79bbdea55066ac175720f86", "0cfab1c2839ddacc19bc9af2e821d5c5fd4f28c1", "e7669c62339ccb4b644729b2060ca41eb7829f8e", "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "4b387e36ced03088ba24c7ecc01ba5f30ae14e30", "253b9b36565b83d0196c3bd9bf05089d9aafa242", "033fde43e6ff235fd560435bc060d5ffd14fb827", "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "a271f83cb1f72e0f9ca077499f51adb086fb449d", "cf75d967bb47e1085fd120d8373e32db835d515b", "323d6d93b059372bbe26a86bad1b9d94b076f50e", "69c5fbc040f3ad70f396ec468bf1d725bb13531d", "4d4b1aa87af8bfd65ac7bc250bba5951aed40986", "2a7bab2b201b93aca291b260c114f5b2a1f47954", "5ab3cbdaf3b14352f47c3d2a91c9f2c247fe94a7", "7d19cd007bffabefa59de061b303da464711af22", "0b7d052036b92f8c8cd4ed4717ee3b528b1e3c99", "760acfa418e26c5fc03471899040404773e38799", "0291b43490e02303c9414f03980e606950ec7261", "1978297fa32ca39f57f450608a48a19048b09270", "1e8cef4a24376bd12df5bbb4a1fd7a1af95cc2d8", "7ee637bee61a7a6d4b2d2d7aea921566bdf5922a", "31a1d959e62dcc078fa2670fb9cb75b6bb070ef7", "cea08e768eff490c51ac1d884163cbc5ec862015", "68415682aa3e25178c9504866f64cf4b2a32273e", "8bfb238673869c428e7723e4b8ea5ec6bdfb9824", "4aa03bb7c10e280acf5d1f5653f336c5d93ecf88", "11f8eb971b3ef63ffc1805e1508ff5e52c943cc4", "07892741feb277639b8a7d4c1dcc0054077cb7ce", "3b8ad690f8d43d189ea2f2559c41b6eebac8dcc8", "63c71e317168d5b55dccaf5515ad96c9e87f7d9e", "74f4c444cf2b7db77ad0d2138a61b96be549fefe", "ffa4d1ce1751f449f2d9829a5712c3641cc9c5e9", "10d3c60f08df6b6e6eb68ef5709f9ac2b6313f0c", "2c2bf22e2f0a1817475aefb37e0c4e0404e8d479", "983f03659e42407b1779e407388ea86fa58043c6", "94fc0212788b2e7b277b20f04de6e042acfca052", "413c960e57ec3fe713e7b3e070cb6072726874bd", "31b9251dedce1e10467a0a33f56ac4eb05ed0451", "9d422e2c318ab63e6b49c83053757b4636f8308b", "e72e852dca333d66559dbcfb050140fac5affe4f", "7251c5e33a47be2023a1fb3f9bb74fe8e413379f", "6424add0f4f99cb582ecc50c4a33ae18d9236021", "3686c59fac958de0b3911d5b08213994836ee96e", "712c13fbbabf086df5a6d795377d2b435e132a57", "452bd41a9f9a0dcdc9d0ca3b9f0534db7990826e", "a8c00babbec804b4e236400459e26cab1e035d42", "308647f22e3f1c80b7416b3c53fd56f9abfa904f", "b3376f115f8b13695f1b8c1a7f00f4cfea4cae53", "df58cbf63a57ab1e1fe2cc22fed19b2f8cb89d16", "1e254f77ccbf3bd796ac3f60001384f59eba4ec2", "291e6f2a365913100de8bd1071810b8155095f08", "0441e485349cda6aee6fa64f11a39e8245eeac74", "4e8206dd2e163c6a139bfd0ec3adf410e7b78c4a", "e0e4910d575c4a8309f2069b38b99c972dbedc57", "4df1eb999ea8b7972e8f8b4ef218866aa16e98d4", "5d75c4db2e09b19de26b7c77f946e89d449c4ca4", "12bbd57ce427a9f847fdf4456eab3bd5caeb5891", "d53cd5869a3d718ebfe8a383f76e7ede2458dd69", "45b27c1cd68625b5f20a5286e09bceaaaa4c55f1", "0c53b45321131e61d1266cb960fc47c401f856f1", "a8d3639b2548263201b84ff865fbb0626d8cbf3a", "33c485b59249af2d763d6951cd11e4080f3bbb3d", "e8304700fd89461ec9ecf471179ad87f08f3c2f7", "8d19cfe643582fae03ce024efaf117d1efef5e58", "7950d67f7104e9bd82d957f0ed80f11982802397", "7e481a07f829b9f9bb5d3f28eb7bbaff0558014a", "c76d143b3fa0d25e21580c583d39ab07fc937e71", "882c1e78bd8e89200fc639076eab19843d118432", "e78572eeef8b967dec420013c65a6684487c13b2", "e71da35611f4ca7fa19180839a0680f65de78c4f", "2f33884d0612fcc3f7eed66e1a4acc229860d6b5", "1c686359a30e68183d1b23e069c56a7c0b1fdae3", "70e3c02575e4041519434e0dacb291bbb8791380", "508d5e0ef6cbce1997d968c5d4534a7baba84948", "851e78906e1307773b664953bf2830f32b28511f", "195aec5513d3fbd1892079fc0fb3ffea0e108ac5", "db9f80948fced4926b09556aea4acb726951819b", "b4e6a967666cd8f943b9e16ab4ce61c108803493", "3db123d094c7ba33bbd3c4ccbea77e2093ad6174", "54b2a176f061b8e045e01b49dacaf1a96e8fffae", "fcbfa580dafafcaccca5819b232e1287406ed43e", "fcb3f7498ae8185ed09ac8445fd9409a4fcc49a4", "1257488885ab81ce41578bb244c258772681791a", "f2bccfb12c1546bdf73b11904ac44b1cfa130072", "3e637cb31828efdfec8334c637f09a6fa04545ef", "84eac516ed3b75233c5110468d3fddaec83a2895", "b1d09b2cc2456bf069135fc53eba9603507087b7", "7d7024c8c97c972f81c0789a3d282470c1737652", "18cf63b20521964f2115f6c939f70e582999bff5", "f9bee6e61833c0323c9175402b73442d27ab9eb8", "82161d704bccae999e80a6fd54658aa35e143995", "4c5041f8b93fd71a851445e84bfca0d7d0c3bb9b", "c4072181e35b989b812da9e346e45234967e356f", "c8f035510b72b84c21430a887ed03c8836eeddc2", "08e6f526afc00c06ca9862029472e56a7c3de51a", "2df5e2adf01a803405341af1943651f6d8658bce", "1169f3386a49daccbe199cccb518238a0130a537", "62a7baef5a3381eef8e142a481a5d5c291447c7d", "b3014317cea72345a711d82d27f2c03c53932a31", "34f557dc85066384ecb5e76000f22f01100dec9c", "ad8db9a00ca75933e78742c5d1878585cbf4762d", "bcbda7b0fb9897bb7c20702cbbd5df9d0a6576fb", "45fb9c434738bfef9fac631d2023680092a0c7b2", "4696031ddcdfab8b768817fd974b601b6b68c7f1", "715216a92c338a3c35319026d38ed0da0c57d013", "43c1bf9bd7b18c9603324c328f0f2696278c5327", "fdbd6d15f5be4d60592036eb21f4cbf68493d082", "3e98719cc0b570c7a0c7c903efb010075dd267e7", "01d2b2bffd1c6d77398cfe7011d4cbd3a0bc7fd1", "86c17a68aead58c7e8e26d9d58a857128da7753a", "8d23d1a1e8eb0e4fbb3bf4ef4fe16ec76f842ec9", "cb13559e23fd88363d7eba62a98a269e6e41087e", "c24d1b707d2a8bf019e11dbf35c457384e044548", "42d8a6b1ef5acaaf4640a8974c6f99d60b56090c", "2a3991ae72740f3661f98d2ad58a0595bbcd07ad", "0419726a00e16ea89868792ca94f5b1b262c5597", "faeb50fd92c9b4946cd2789ce5edfed6b93a058c", "76bce0419c3cb063032b1a4a53cfc618c093629e", "3f09e7dfd30acb888b6512638439522c9bbfa955", "280b0a4078232f13a7d4234a9ae176f01b762b12", "5daed301205f283c35ec809ff5b2df88d09b2cd5", "2aa06417fd361832df384cf7c003ed1d3c5ee8df", "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "aad8d2e32f1cc21eedbdd5e8ebff9f367daa6d92", "042510b39c6cdb463610fdda2081b36ff469a353", "fe055de0e633d637ef80cf569f0b36d5ec8bc543", "a22c372911680793c7f94e3fd0b3843a2019f085", "504002dbd2de78f8d55c860a76a6ee322eb816a8", "331cc0b310251cb180541023c4e2d45ccc2ce08a", "b1bbe8b1afb97d590269bae95c34c87a8aa388cb", "a2c1c83e2dbeb2dd42b06e97807b287e48c2f257", "e188aa199d4307fdbbf60e9e6612bcb001e1cab6", "913352e569d3e5eeb90de2a7979533355e02acc9", "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "55355b0317f6e0c5218887441de71f05da4b42f6", "766209460c41d18ec357c6e1c8e79480b0c3c0f0", "58888b30e9123c1b1709be1efa92898e090d7bd2", "29ce8c5df56424b9502984f5d263fbd30bc777a4", "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "ca1db9dc493a045e3fadf8d8209eaa4311bbdc70", "bb3d634c5c021de7c2ba10b073c63171f7610c6c", "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "308a13fd1d2847d98930a8e5542f773a9651a0ae", "07c6744e25ed01967e448a397f5d7e9d540345c3", "ea80a050d20c0e24e0625a92e5c03e5c8db3e786", "7ec16949adf6ea78054f6c6512f332a86960b91f", "6a03f9b4354cbe6bdb4c00eab3521a6463e563f7", "2fad06ed34169a5b1f736112364c58140577a6b4", "fac6b4562053853db517ff6511c6daff2e6a1a7b", "34b8e675d4651db45e484da34f3c415c60ef3ea2", "3f69a9ef0f98a3936bc905e792cfe8a7d313b565", "172f0c646a67f6398a15b9cc69ab85bfda616e35", "f5a00153cb49c2f66b072832adf053ebabf50850", "8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868", "df45ca54171804193c0b499e8f3d282cc8b06998", "631c4ca00eaa65b801c63d32c0f564e974009ddd", "92939c68b2075d0446fee540bd174b6da26fea05", "a65c3af3752866732fb2d1ccb3305ddf0fea91df", "6c387ca410870cf7fae649f63b00e0db83cd5e1f", "4abf902cefca527f707e4f76dd4e14fcd5d47361", "34ca83537d5d5128dd80cd3c4cae3c45fa5f2263", "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "c66350cbdee8c6873cc99807d342e932594aa0b9", "7e186b41f5d2cfdf1940009e61d4e34a47b33c7c", "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "f11d3728c1e3ca14c697ea2c95f428d38f340554", "b82a4a0457170258aaf622b81e6f739a220398eb", "7abac083402d44a96769f9e68c8f6ad84ba80472", "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "63d64d07966d4d128581246a891ff1d3dd3a2a96", "5e47ada58f5b7817acc46240f1090ba51dd0c637", "2084e54505cfe4fd81005167b1b11d10b5f837d1", "147f31b603931c688687c6d64d330c9be2ab2f2f", "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77", "e23004116d85976ad0a2a4da69914a2c9d1ea5ab", "d70d0bf360f4007c06407b7634c617979ac703b1", "2fa4b37f91667970150481c37a1f4e294a49b7f0", "53492cb14b33a26b10c91102daa2d5a2a3ed069d", "441e7df66fe6052a6b770c3aeca4acd8dea98643", "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "6cde93a5288e84671a7bee98cf6c94037f42da42", "4d799f6e09f442bde583a50a0a9f81131ef707bb", "1bdb09190fc0c66f7e1a6deb7a0ebbaba6b2a42c", "dcca36085752eec824d489ed556378159464a0c8", "5645f567d83bacf318c9b8c4adb5e508b713e466", "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "35184b2891ca17a8b1e5fe45b319336d00a2a4c9", "e6a8951063c3e87c7e8458faf9e5c4584c32cafd", "08d2a558ea2deb117dd8066e864612bf2899905b", "f81f69570113e5171203ac121d1ec1d8b91df4a4", "3f95710d17556d5064bda289dea5adbce2777a59", "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "5b309f6d98c503efb679eda51bd898543fb746f9", "4cf5437ef31e587435ba1531da9109d714c0ee3e", "d2b86b6dc93631990e21a12278e77f002fb4b116", "218603147709344d4ff66625d83603deee2854bf", "952a8ef56f35376a52e4540d3df9e48f4077b09e", "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "1565bf91f8fdfe5f5168a5050b1418debc662151", "b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb", "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "f96525599a5abc069d2415950f6acd0ed37ab7d8", "5fdb3533152f9862e3e4c2282cd5f1400af18956", "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "fedb656c45aa332cfc373b413f3000b6228eee08", "850d2697fec9c2bb434907db1c0a11e200f32dbe", "1c1e4415f0acf5d536c9579117d326471f0b678b", "41d3603bebd818b79590383d94b5b36349171289", "6b7e552ca66fd3235e99115d6f072061b9ada181", "c8c60abb7cef001213d951d041e5f03042de0df5", "abc8638968909ab0fdfbf1049009082df554a49e", "9244a113df66d8af944d988596710698bea8a76d", "7965b2ce7d64991218515e20fc1fc0459fd20a38", "2056ba48e687d619c0ce69d0be323d48c5b90701", "fb0bbbc159dad0113f5d01ac736945feeced1247", "7c9d8593cdf2f8ba9f27906b2b5827b145631a0b", "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "4e67d44495ab109133b3d94d56e1d82b8d75e9a1", "998bb8720fe25c6b38fbc70b1142fafde46e39e5", "5961e59733cc7692ea86e9777039e6da2349ac1d", "f3196b1bcd1af733347edc923d43018724fc73c9", "19be4580df2e76b70a39af6e749bf189e1ca3975", "a2fa23bb2720f1fe2131a485562658f1a8fd4ea0", "304196021200067a838c06002d9e96d6a12a1e46", "6843531814f19799c86af271b8643411360549e8", "08b28a8f2699501d46d87956cbaa37255000daa3", "71a353116bcd6c23333d311a5e54e4e6a48b7cd7", "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "ce8013ee63851ffbf14889a9b7cf3f907df40b9b", "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "635efc8bddec1cf94b1ee4951e4d216331758422", "ba12b1a8ab4995efb1aa1560bce19794a0358dec", "5dae01134bf11b48f08fb1cad0163aee7d123ded", "e8dc52f700f7aed02440b4b1441ff62213eff107", "c2206c3b3cafd1cf1694b0a231c80ab806f0f59c", "52c141b9b7739dbacc93e3e661a15c84853d4094", "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "bee609ea6e71aba9b449731242efdb136d556222", "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904", "8ffc49aead99fdacb0b180468a36984759f2fc1e", "02f94930219d2bb632d067ca2d31db61161ed5fb", "14d0de03d21faf6e26bc81f9aa8c5d768489223c", "b986a535e45751cef684a30631a74476e911a749", "b5184bd428b9a89255900dce50b4320741706744", "5386c181d0b294d54123f001678d1125ca7b76dd", "d3797366259182070c598e95cef8fff1ddb21f65", "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "e7df0b3c8befa4263971d1b645545ebecdacec06", "b76ed28a9b8a8b9061e443c85e39de8ef0d63605", "34a6762ed8e92612ba4fdf02ee95d2ee0d587908", "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "a20f132a30e99541aa7ba6dddac86e6a393778e8", "93817c245aaeb78dc8ebf1b24450942a3e24ffe7", "0a058caa89d195930224148d3d2897c0c08fc668", "7627ddf1a676dd28a10e9f633d01611a1ab4a250", "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "463a1ca5f819af35e71ae47ea0e57293691507d3", "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "81aa7b082f97f5fb7d6ca6cec783a3d205adcc2d", "a8540ff90bc1cf9eb54a2ba1ad4125e726d1980d", "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "8cd61bb3469aa253d4411ef2295b50683a031d17", "592e555ebe4bd2d821230e7074d7e9626af716b0", "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "68621721705e3115355268450b4b447362e455c6", "d9912256502b9578cea7d149142832e0998d97ff", "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "bd6b974bd9544c7f434752e42bc5b950fcaf71ff", "608dede56161fd5f76bcf9228b4dd8c639d65b02", "33c1ab4084d4df64602ccaa1de4204e05c7e98d3", "3b3686f87f9a22db2bda99cb279c817e7f8a001b", "110919f803740912e02bb7e1424373d325f558a9", "974fea3530307da6d22ef91c6765f5404514b3c5", "5bab0828e5dfbc13d2c2e3f0532edbb002995e64", "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "c0e9d06383442d89426808d723ca04586db91747", "61470aaccabd195a361112d38d80d3779498f784", "a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1", "91cc3981c304227e13ae151a43fbb124419bc0ce", "33469aa1130c6bfb838fbb6216f5c42c483a2799", "97585f0fc4e55fa849bae0d40a7a31a8f4dc76c6", "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "a77619c8d36c444cae62e767b33b2a8c4e30d4ee", "be79ad118d0524d9b493f4a14a662c8184e6405a", "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "5084cf08beb04ad91ef3c5649077255097d0c5d9", "864fe713fd082585b67198ad7942a1568e536bd2", "e87b2fb0d4e8403a1a63153a3330fed177cdff49", "f1df5f74477658df45814743f2e605656e8ac16e", "c4384c8b0befc5d81ebfa012f2b69091f65218ac", "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "2788a2461ed0067e2f7aaa63c449a24a237ec341", "384908bfad5b9e81d605344abcb9e99d8b0f4027", "83c19722450e8f7dcb89dabb38265f19efafba27", "8a77025bde5479a1366bb93c6f2366b5a6293720", "6f70e85442959079bfb67b925c660fe86cb4ba24", "76616a2709c03ade176db31fa99c7c61970eba28", "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "2f72cee2b9ae3d4271bda9f9bda1f11ad84ef616", "ba32bcea914685f2dacc689b3d9dc070eceae684", "5a08b451b0397782d81edb5b614bb2a523c6be98", "4c7a8bcd1f15b6a0f6416f20564adef71069785e", "d97a0343abdb6ff2cc1492c4c952654011736709", "9a9830c6edca29ca91f7bbc2683eb9ce43136469", "aec7ba707a37446fbf39cec960951ded2d575267", "11fa30ccbf62a64f650844b9cc39797e5faa82d5", "67289bd3b7c9406429c6012eb7292305e50dff0b", "317f5a56519df95884cce81cfba180ee3adaf5a5", "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "19a0f34440c25323544b90d9d822a212bfed0eb5", "61dfbdfe718aca026cafa06adc63055bd0fc562e", "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e", "cb8567f074573a0d66d50e75b5a91df283ccd503", "e746447afc4898713a0bcf2bb560286eb4d20019", "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "d497543834f23f72f4092252b613bf3adaefc606", "e7711b98384cf72a3ef26a51653083e41781a6bd", "61d715d3a668780eef5f019450d3cd1378c6b02c", "01b94ffeef22187587a9d3b9aeefa6377f85baa7", "a34f8768b10d928aa4f4105afb971819c26a2219", "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "a089b7627f4661e68fbb2acc4a741b98e54f1f09", "2788f382e4396290acfc8b21df45cc811586e66e", "ad3be20fe0106d80c567def71fef01146564df4b", "207e0ac5301a3c79af862951b70632ed650f74f7", "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "4e6830f272eb7dabd42cf14133c57070dbdf212a", "eb51b630b194f6161dadeca54b3d21330cde9ebd", "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "de3eadd9da762010066eab138cbea5fa3089a290", "805b42d42a52e1e5e20de8950dc18ec9323575a7", "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "a6e825aa233e0048d70a9a2c6a4ca9322331aef3", "a3d11e98794896849ab2304a42bf83e2979e5fb5", "46ca382cf66af47c356c2cebbd967bbe01b1a735", "43001722a7b31427d1ee16ef47c0482fdf552011", "4f6e1319c795e7ea1ec220a007c04e9cf37ff4e9", "6ce6da7a6b2d55fac604d986595ba6979580393b", "df527756b33d1c2722bd005b246f7df75ea0520a", "9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a", "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "b54ed594267ead88b99bed3230e0453f54d00873", "61b0cfd75f5bce59cf79abb7b602e404fa5584e7", "6d902439b736a7546dd8872b307fb760087ca629", "b2cbbaf194abaeea3a4e1c6993dcc597f119eb57", "fd0e1fecf7e72318a4c53463fd5650720df40281", "adc95c86c5d5288b8d7d096ca2b77667826d985b", "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "91c014ff243ea747ea3a84a9efd4a3e38a7217ee", "b2c52de097b4e903a1ed487ac8476971f3d52a34", "d041c8cb05a5555046f6e62a4efbb964fb560c31", "6a699b51c37b532460483cf2eaae25e4d868c73c", "cd04c94e522013f531b1a8cba05c80762f09b6f4", "99bc96eea249e28b3e741fbe15757a38d52631bc", "8f19b4212d0fbd955f8a464530188ce68d0a87fa", "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "ac5fa28687217818e698aa102577166609a2c5c4", "1a40092b493c6b8840257ab7f96051d1a4dbfeb2", "e0446d14d25a178702c10752b803966a54b539e4", "5c4ce36063dd3496a5926afd301e562899ff53ea", "4ed2d7ecb34a13e12474f75d803547ad2ad811b2", "8e3c97e420e0112c043929087d6456d8ab61e95c", "06a9ed612c8da85cb0ebb17fbe87f5a137541603", "1aad2da473888cb7ebc1bfaa15bfa0f1502ce005", "4dd2744a37bd1e666346a41dcd2a271945c74e2f", "5bce272adc5bd6934fe31ae3c648b4b62191353d", "3d42aedd347f927a6bce28d0fa509c6d2132c11f", "37a4199e63312f7901af853998951883e52ab062", "1b3210660d10318d4fc65b9de75d2093a2de543e", "50997081b89dcee1c304a16f714385142d512fa5", "67f88f37e4853b870debef2bd29b257b5b19f255", "36cd55cdb1b032c8f29e011ed0637923afc46d3f", "5e84fd5c73dfeea9d51e1cf59ea6f8ecf2097603", "a625b55cf8914d6f275478773b84f58ad8ffdd85", "fc50c9392fd23b6c88915177c6ae904a498aacea", "080e81f425dc129c4e4022568e2a23674ca41307", "18101bfc08381ddea8fd944a3300dc8cffe34e63", "107231a511fa981ac8d13723d7aea52847580930", "a8c58660bf2ee1fddc3ef05ce52c42775eb0b2b7", "f11b0aec9dba441d80af3884b2d79e6d7a35e9a3", "3564ee7ead6263a6a83107ec9610f72498163f0a", "08efc3cd63b5657ac65e68aaaa9cbacfd2596fea", "2862615e5767a8a81257138f04de6c5bd33e2984", "2e9cc64376ce44c6ef848a13aaab26e3878b9ec7", "d49d1d6239e3a14da48074ab7c2f219d5bbf8861", "71f9bed14188d861f248fb426a26a3a0b400843a", "7404a8d77ba515633b61c68164210d3422d0aaf0", "10ad82949b65bae59410aaab5aac88d2caa6a3d7", "00083b3b6c356aca3eccfa26988ce52a6682bd6b", "31486c9342901ccdcef5a37c501ca9c56a1e3bc0", "2842cebee2793c9b4f503895a32b328b7781b60e", "4dcff552a198b58311b04935ea2250385f54c585", "359fda4ff19dbd3634b867fbb3ef3cb6812691c5", "1f4b741a9da2fb7623ff68c8e1df3f3cce5e2542", "d1e388269ea8ce7074f804f79e158038f629a0df", "5a48999cf31b26191e2db60d80794163d5f8c43d", "0d72a62b16139bf2c0bb4f91a9bb72c00e5da6a4", "b7c8452ac9791563d9a739bd079b05e518b20aea", "b59df3832c3914c9aefc7f11017360a24bd11480", "3ca4ce8ab704b44701bf7ef8dda01c8dbb226fac", "748260579dc2fb789335a88ae3f63c114795d047", "2917808d9018386af42e249ba4fb94bafcda54e5", "8546885e83f7901340c7893fdfc017cef86d910a", "5090e374a0d505040ca6fe957936a12026f5347a", "6446089a2a383ad9e4315aea0199084dc61490f9", "2deed841cfde51ce3b4e90880894efbbfdc18f18", "89dcf3d6f42f1a2fcdb0c81982ac1ea9e4ce2339", "f616a39587de5a965df965cabe541dfdcd604466", "c42adbb77919328fad1fdbcc1ae7cdf12c118134", "071777bc168e9940bb04b207d3b061bbd5a0c01a", "133b0d480a8fac7c7e0c7511b5bdb0dc7d387d42", "d20efdf05444a9d7509b85f6d5cd59359b1062f2", "85780c474c20f8d824e57081521e7420a4055f65", "a671cb0d366ab895249349ca457673150ecc8ee2", "7cf8440b1c02c021f6ba8543ad490b4788bbe280", "74cce11cfd25618b0fee0bcceb2f23376121a1f6", "0dceca6bb3ac648c611f7097cf52a9b7f59be6f9", "c160bcbc8f0517a97e46042c84343bf3f0477478", "b1103fabd55cc5022be550a0fb2ae25aae3f2d23", "64a62496e20d8d6a0a7cd0525304b67b848ccf41", "51a128eb0d72f318e9d3617ceff64539dfeaa608", "aa299218f9b7cda78c440117f12f193c3c4a86cb", "057d879fe2d6c40ef79fe901cc62625a3b2ea8ba", "46c73ac90c8107e9580950eef9df6834edccd183", "dcf17cc3b4f8519a6789c1ea086689bcbc1d6f11", "efa2b259407b5b9171dd085061d05b72b6309eb0", "dd0c747ef631c733fbeb69f82b08e6e9ca0d1c49", "015a5fde8c9c89ae9ae8349183018acb8f0e741f", "6b99cd366f2ea8e1c9abadf73b05388c0e24fec3", "e2d8363021947b6ecee6f8f8da6f6571cd58d88a", "1d4c2dd3996cb3d87da6c35d72572637d3175ea5", "2c2371629ad7bcde46e62859b2e812f6e5fc64cf", "5b300b85e10aa312dfe31d8064d86f764d0aaa68", "4fc67275bd9d68895933c3baddec266402cc2412", "daa52dd09b61ee94945655f0dde216cce0ebd505", "62cf98ce9c28dad430810a59a527df50cebb65fd", "6c26743e131a67b25738beffcee05da6af5d87d9", "1e8fd77d4717e9cb6079e10771dd2ed772098cb3", "1b6b67dc0af67a39cbcf01f68bd3aefaad058c10", "9507e5c59c45e68b964fdaf40e39569dcc754be3", "0888b6904ef12bc7a3c59fa59c4051d5002de80f", "fff755ee8522d5ab0931babeaded2f9113c44b95", "5a021bb28e8c62a8c21fffa1ff35929ef2edce8d", "4839f861709e6ae6d4d032228473ce1764acbdcc", "38a9dfdf72d67cea75298cf29d3ea563e9ce3137", "078e897aa85ad4e382d6c68fd78fa2a6de510b98", "3c6be0034477b07222f41f6fc558a64f0222a192", "9bdc406ad9e9fc0ce356e6d0e53780534f418849", "c268c0d62eac349468f786ac50342213ef7865e0", "4deb349f0883cd1ad8c7b710dd4ac4e91e69f7b4", "929b889750747818f75a7974b45a8d309761e5b1", "6275aa21331a2712222b7ab2116e9589e21ae82c", "77181ce3e55e25da06d0ac584c3ceef313bdde3f", "14a7e7290f81e313804a000b125bcd1c341bf9b4", "3837cd26a92e6c20b4351b3fd7e83a422e56cb89", "3597dce344b088f913689abde927a59a0bedde48", "1a30e44d6b70d11f7b270c87eac099b75b2263f1", "fccfd318e56b5c5ea6ffb93f422b40eade39661e", "c29f21f0b098123e523df17b23fdc4a82940cabe", "48d299fe3303c80f840816fc76971a42b4a8b624", "50d80e2020698b4cf49e6b820df0aea497d8fdd3", "40bb3ef2b4e556a3646a8cd77364a89b8773e4a4", "3154d7479881c7efd8a50909af921cfa8cff8e2e", "fd36e838ffc2f56afdbd87a98f1dc4e05d20ed33", "3a192e0391c357124cd2ec2287b1706f523ecdfd", "1f7b2087dd0784a04ba4d2a68c2db9588f36c33a", "3de03bdea67b43d5004ba5be14706975dfba1994", "b3ad7bc128b77d9254aa38c5e1ead7fa10b07d29", "2a5dc32ba784ff30c73011414bfb679fbc203069", "dedbbb6e588e77969ab87571917d4f84a3b1722d", "ff59ad8cea158ef1c2ef15e43517e8fa33df97b1", "0cd8fabfc8e22be8275c317e7ccd37e640711c62", "20bda5e991a7c0774f2767b80de0ff54db1adf1b", "e227058f661d9dd644753c4f81c02b8e46ec89b1", "3dc2bbbd0c17643a8cd08ddf2ba385af2fc4b405", "78560fc9c224c1b605b3ed30cc3345863c5988e2", "5342b6e9ecdc993da2cfd992b4939fcc6fba231b", "9d85f3cf2cc464b67ff0ead1a82197878da7494d", "7de1d463fef3c63cb228f5b4a6a72e62f66630e6", "d94136016e14bcce68ec68b443c9d1b29535ca3b", "0ee7990e2ae054aab5f1fc08670fe5eddb96fb19", "30b7d284c29e49a55797041dffd26d8cfe3ad9ca", "39d900da87fa2f8987567d22a924fb7674f9be67", "73298c5610004a8337baeb79f33c1519c0ba59e4", "990bf0171deae7f788f4867c155a276fca5c891a", "edff76149ec44f6849d73f019ef9bded534a38c2", "4289f9f727af39414537a97e5eef90b06115a5db", "2d4a3e9361505616fa4851674eb5c8dd18e0c3cf", "30bb55d3ef6905cfeedc12aa0dc70ccbf85c8293", "0229829e9a1eed5769a2b5eccddcaa7cd9460b92", "158452a25143013e4c406ee2d41a7399c34df3db", "603dee8661aa9bf0d7af6c61fe5fa2e85227f166", "05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2", "3bac7069b9d3051f40ef4eecacc517d02107ba4a", "114d6a2503847a72afeb38e79243ad10abc7e123", "1b715b4cef51be6bd5dd73c0d30257d853411a52", "78cd4291d123c4835b0298045aa89ba6674581b5", "697e6552326bc04a80b510f91e3a83c23159fa4b", "bec3c3e6bb9c738dad942f00fc69848018c3b1cc", "3077fc0a9a1d41dbdec150b891cb2d555e4c4ffd", "1ae19084d2cd53c70d7e44d419df32560e417fb9", "56f5a94047966eac4b2f97ded4b50513f9a09951", "4213502d0f226b9845b00c2882851ba4c57742ab", "e8de844fefd54541b71c9823416daa238be65546", "590739cab80ad1219143401be0d929bc2885901b", "68a3f12382003bc714c51c85fb6d0557dcb15467", "cac571e2e2d37b712055196e87d57a8da742e7cb", "0f6d068ca799e99100fa5ff7503163fd1c9ae581", "26c8ea087dc0744240ee955db0daa9f4355e4f60", "1ff616ae8b61f8167f2d626b7c1a36e018b23e94", "3726b82007512a15a530fd1adad57af58a9abb62", "1a645bcd029cc5ce21b973146f21a9655047cc96", "1b6d41795de1fd9a0da4227c83dc4dd038a229ec", "2da2ae720ea37fffe7247b9cf977fa86b04f97f4", "f523c55a0a8057c5b08add761353ca79946feb07", "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "0d0cee830772c3b2b274bfb5c3ad0ee42d8a0a57", "f45cd366cae85da26a0692fb6eaacf8579eb5a99", "4a70c6e14bcd7a44838fdabdcdb33bc026c907b4", "12ebb51d50f704b5d0a8d821e90dd336175ec8aa", "0e01db4197f71450118f81ae5a69ce4916b46421", "bbfe0527e277e0213aafe068113d719b2e62b09c", "f51d9d34635ad9f6310d767869710e78fc4174bf", "3ab036b680e8408ec74f78a918f3ffbf6c906d70", "4d925db7c9e3cca2e8fed644f750d218a48cd081", "f104dd1b606f402c4e29edf52d45b552947671a2", "01aad32349489cabfcb619024b297d8f854e9d1f", "3e78402eab72d87eda1f0b44ca7ff54ba0b6b914", "92dd389bf0ca3d651ed3be85b14e6a31866b1ed2", "051830b0ea58d1568f19ec3297e301d9789c9a76", "22bc12fb82db4c5a5f52bd1ba70e25ffac94f428", "4bff304627cfe155fc7f8e5a21ed0599a894bab2", "107c5030f2c55e0a7cf4c6159cbbd4f719b0d9fb", "6e97a99b2879634ecae962ddb8af7c1a0a653a82", "8d30d06c0591e08a0b37ffc565dab376885499ab", "688f5cb02dc6c779fa9fd18f44b792f9626bdcd0", "fcd248fe4da9d719ccb3babe4a82bbd7d7b6935d", "b3d592bfbdeddd4074cf7aa8a832f13cd9d3be0d", "081307db6d8d709af26f49d24041086bb09abfd1", "4745baf6c4ae7a088f03340fcc05ad7d18a0aca2", "8a755e7e6593d210ea065b3d85dc985c14dfbaa7", "54a2fdd4402c45abd7247e4c393ee58528baf8ee", "2fa23deef68f0944fed54183c79f835df2d1747c", "eda20a2f33d0f6db44a2e7d060efad3caa6621e0", "29b4815e4ed9b7d3d53b5a8742a00d8250f05429", "414315d44a489d09c6e1933033ffba6396974ee1", "cb08f679f2cb29c7aa972d66fe9e9996c8dfae00", "3dedff7d7813af193589e44c204b08f34c297764", "d544cd6baa2dca816d860aa0c037911b71260e3c", "0baee7f68c08f1a6b5190755adebc57145d18ccf", "6c06ad0b4b7c981089b5a8037d5b9f9e5b928196", "38c33ba18b909f5e40ba02c60237c64cc8011ca8", "00ac5fa58d024af5a681e520f49ea0a2dfc6c078", "f62d29f9e1d426297640c7f0e43961b181449554", "f9cde411f21877372cc411c8417c8ca4181cd0fc", "27a0d94f047a5ae719f9e13ce6407eaf31299431", "6eb7ae81554ad4db92ee6b578f47be659c8b9cbd", "05d0c5f579314e12c35fd35ed0858255d8c48887", "f35acbb0b2870e5735561196d246463aec8ae7aa", "33f3b212d665d769a209b7a278dd9907ae2be952", "b984c9815fd556cc845adae1f9a206d2a0fa2d33", "04afb510e11e963fb18e3271ac966164db806120", "08263a9ab40ad37d0a4368f2a089c3d44c770d16", "208e903211ddc62b997afb5a1bd3c2c43e0e69ee", "c4cfdcf19705f9095fb60fb2e569a9253a475f11", "9772ccb519268f067da7707fc199ad942ac63c42", "b86a3953682331302eeae1d977b1306038d4df53", "19150b001031cc6d964e83cd28553004f653cc24", "42832bcb36ee3f69327c38d0d17e6e2a73aaa2a6", "7697295ee6fc817296bed816ac5cae97644c2d5b", "8e4ff1aa78f8997b683f873c46999f384db4de18", "b1b993a1fbcc827bcb99c4cc1ba64ae2c5dcc000", "01a903739564f575b81c87f7a9e2cb7b609f7ada", "de02a762f64fc11ad2fc2aefe62361758d0e0786", "c0d5fa2e57646f2cc7dbb9633261af7d20f8a51e", "be49dfb17f3743493ce77fd8e3d440ded451a0fd", "22f4427effd952b6f1a5440f18a7182cee341bc7", "c69a8a9325929a55f0cb6bd7f99a57985f7f693e", "fdc0754852b9c8366341972f1b5b4320b48d64a9", "719b741280607f258707d102feeb53dacf00ff8b", "8e0a86634b286567433736a667e3a0bb7902470e", "9cdb83ed96f5aa74bc4e2e9edacfbb5263e8fc37", "d5525d00bc2099700711751e33f0fae9a58577ca", "a5f449c715f0e0074f29773db3b64bafd435dd38", "d2b6c706f1a165db60cfa675bd5bc62b7a2e1230", "5c6215a32fa943d07cd2d0401d646f93faaf34e1", "5b249cf39370503f22fc7d4b257d735555d647ce", "ac4c19e52a58aea27593b99f0ebe5316339b9646", "75bf811670e6aa344f1cb360d43cd6ba10919ad4", "d90bcce87174d2e85004036ae3e977c1ef222695", "4641986af5fc8836b2c883ea1a65278d58fe4577", "05ea7930ae26165e7e51ff11b91c7aa8d7722002", "14761b89152aa1fc280a33ea4d77b723df4e3864", "ab1719f573a6c121d7d7da5053fe5f12de0182e7", "dab134705fc67f560b4276a39a8219ed0b3d572e", "3cc16be882dff500b8fce3d7cba3d79fdeec4db7", "60f5be7ed46bddc082088ec29e2506b88be61732", "7cec368016b146254817d5c0138876d2772894c2", "4edeaa65210966cc89890ac4c19ec447f000dba2", "2e480b3ef788512d647129509ea2e7d20464bf45", "033e3fe75da26d8d3dd3cb0f99640181655e6746", "72c248c8d3bd76e2a31963aad7286b8d06ab7f8e", "936c7406de1dfdd22493785fc5d1e5614c6c2882", "26534206831483d9f5434fe2fe0839afe83cfca3", "5ee0103048e1ce46e34a04c45ff2c2c31529b466", "0eea197144b631b33857821559886b6ea063b68c", "03389a530f52c2397b7507376e25a109c24a3f45", "73200504c7381c48c900894455995b9188676cd5", "2c55ac6330ce91a24131a81807237807134ec371", "249c9034959448e4ca96e9e753570c20ccbd90c9", "48b38d157272f03f6b44c0df61130534d11d8569", "8d44aa6745ec0b30f1402531b3419f3310587dc7", "0be8b12f194fb604be69c139a195799e8ab53fd3", "6e60536c847ac25dba4c1c071e0355e5537fe061", "11f515ead5b4a7259668f2620e808fa8ba5ea65c", "22f2f77120cd28e9b2516179239380adef46b1be", "3805cd9f0db2a71bd33cb72ad6ca7bd23fe95e35", "c6fe7056e52208bc54f52ef9ce6b5fad3aa36251", "1a6d748365dbf3b17f2db371a30469478ee7b142", "13d6dde8767ac7176dcd6d4367974292bc627863", "2af06b88444cfabf92f54bcb3a31e9afd149ae69", "cd000f4a7a64db5e00b200b93cc3f13c9e313c01", "3d4e6fb9c238c490f57aed72bcf9a81ea5f28972", "83bd99dfa4b9e55adc229765449528ca8b1b2fdb", "abac0fa75281c9a0690bf67586280ed145682422", "08a4022e30f93cac2e55cf6b034a09a40550df45", "29c721f628803b54bbc0eacd27e60d94772cc2e4", "521619a352467180fc702a43090339f0257a4a55", "7542d0692e8ce1aeed3717ff20c7b88072269866", "0324a22f71927bee2a448f800287cde562dc2726", "d0fe63de22729bcecf12a84554cdfbccdb44c391", "d970117b1f976733d033dfd9ed374e77d0bd970d", "b840b2f8221363a95f596181df9f6625ab77bdcd", "d096bdd5743cbb33f0cd0ae984d188b2c302f054", "1f7127b9ae86d7fac305c6b824801e455e82f511", "8164ebc07f51c9e0db4902980b5ac3f5a8d8d48c", "8e3af624abec623a06535847e250dce443f040f1", "af34388e69800a168876f7446a621f68ca2215c0", "2beb9777bf452d02f9bec5275c100f4a736def10", "275ad26b7e4d7847f7ad4eedda65f327007a9452", "d972b4da29aebf5da7c02e77a9118b0f60895985", "151b87de997e55db892b122c211f9c749f4293de", "53288f4c3bcb993f8561b4af1776ec3145d7a051", "143fde0dab5b736e6c2739da740e461707ad3391", "1d524c57214384ad6a003c54b1918130744b69d2", "4be79ee47771c670aa63bcdaff870f9dd8575a0d", "052651838d27835f39270101e140055e60a59d68", "a07f66b3d4c88b3ff3f73503c9701593b56e7e6f", "293ca770a66313c9427dc71cf86bef7e1b94f2d9", "0a6548b8c6e5e50604c2e72ad48a721bc4c2bf76", "0ba87571341beaf6a5c9a30e049be7b1fc9a4c60", "f94feceb5b725c6b303b758a0e5e90215b0174d3", "191f8b564c4f90d2ba7423fcce4efd7e902f4f77", "89fff8387432878db240a044a98ff9c9200f3197", "b0fafe26b03243a22e12b021266872afdb96572c", "3229a96ffe8d305800b311cbdc2a5710e8f442f4", "ab98abfbdfd700c27bee31ca1f8850db72120c5d", "6e6923a8b39cd22d714ae9364d18bec8178e5632", "da5075fa79da6cd7b81e5d3dc24161217ef86368", "d86fabd4498c8feaed80ec342d254fb877fb92f5", "0000fcfd467a19cf0e59169c2f07d730a0f3a8b9", "67b38b88f3b3acb4ebba3c1941cbab7290bf59fa", "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "5291304833a3565f8a2b6c13c1f12e6841925a87", "3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87", "c54e00aadcdc8c4dcf556dbe4d30ff3952df94f5", "9c1b526dc9adba029809e45693f758c2af913f60", "7e60b357a668b685203d50742d25927b71c43c2a", "59307b897ef4cc4bde2d2393f97310e7d89998ef", "08aedeb74dda306a14c699ffcef4f434a60f34e8", "0709f6328229a79c44be715db90df028786a3129", "0ae3182836b1b962902d664ddd524e8554b742cf", "36c91b1342c1357877e89b4c43f8eadb39755c0b", "bde3c1298d4136369c8607dd5dc3f0800a27a8df", "03bf59f6db62b5da617e42913e9cbb1e58b79f28", "759a7e443f725be44ded970745c5422fd3196127", "de8cd616d90964147dd0af622b76b5caf322ed96", "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "c8671a739a95f57946a625c3eada1f4addc60aea", "b2e4c58e5b7cd5db446a76551e9c37b650d5c2d7", "05a3f10b6cef0178f5d149ece2b0f08e8b6af7a8", "3436b30d5c09a089252cea893fced7b3a5cbc675", "e178ce46d3a490a5e7298fcf6da31f1262fe5e94", "3d99cf9ab3b7aeea322c3c6b10fab3fa3ffa0489", "0760e5ba407eb29d7a1d1baa7903478f6c492dcd", "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "15e28e884fb6c7eba2610e3dfcd5b40dadb14155", "f8403bf4e3060487cbc8acceb1fb256a4f1cfc76", "734e850ed1187a2abf91187c00a46c3ec172060c", "83991b798dc4974c1ef1ee00889e6d63fe163899", "89588a697c8b81e38d3793db5055a65c4abc4845", "8990cdce3f917dad622e43e033db686b354d057c", "f1af714b92372c8e606485a3982eab2f16772ad8", "811784aecf0ba50cac84979ad45ae0947f678f1d", "bdf46e52b9cc967628f423b1a69555a1114cc3e3", "28ced5aba250a35d38bfee1c8ea220c479f58ca3", "c1c253a822f984de73f02d6a29c8c7cadc8f090c", "11155ee686bfb675816a2acdf5a8ddf06e67b65f", "468bb5344f74842a9a43a7e1a3333ebd394929b4", "09a7aebaf7edc7544b7f46b2f58a437379b4feed", "c74b188e7527a41eab514d4a5f72660184de3ced", "e8410c4cd1689829c15bd1f34995eb3bd4321069", "c2148f81ffffeaff3fed49448fa5485f65917865", "a729d0243b1e3b055f44248a32b3caf20b7e93be", "402bb518a5a5fd7f7224a83a2d1f5e6be00a7787", "0bf1f999a16461a730dd80e3a187d0675c216292", "19237fd84387378635ae135cc53ae934267addc5", "a80d2d403785f0424fa145b9b3a678a01213dc55", "ee0de878eb13914c59bf17c4ca5074361d01d593", "f17d8f14651c123d39e13a39dc79b7eb3659fe68", "4a03f07397c5d32463750facf010c532f45233a5", "1ec98785ac91808455b753d4bc00441d8572c416", "7393c77eb8addffbb2c4ad7be6f39632feb35835", "3cd380bd0f3b164b44c49e3b01f6ac9798b6b6f9", "cccd0edb5dafb3a160179a60f75fd8c835c0be82", "d0655f12fa9c2fd60b8ab9a071cbbffe7a39068f", "0f47af453c221630b63a79e709b5dc78dd1c0499", "5799d5c6ee7bca0235a528117f8c5c0ac78da735", "c54fd2ea5fe45c1377a45c396fd68d3bc00a699e", "3a37f57a9b94fff82ffea4e77803ebe5ebf6401b", "2c848cc514293414d916c0e5931baf1e8583eabc", "ce1466c5656a1af9078299aae69b46a2cae7146c", "fbe9730f6a95fda9b2972a845586237f954cabfb", "196c12571ab51273f44ea3469d16301d5b8d2828", "ab8ecf98f457e29b000c44d49f5bf49ec92e571c", "2b8dfbd7cae8f412c6c943ab48c795514d53c4a7", "bff9bf6f8c4ea9ffe54518af985b87243c15c671", "897aa4aaa474fed41233faec9b70b802aea5fdea", "1ae15cde8586199f0359d4cceac3b1e14f9243ac", "2c4def184f940e2dd4302bdc130999c27054de3e", "c82c147c4f13e79ad49ef7456473d86881428b89", "48bce5028560140ad3fba0bc330f27a81200a81d", "fd554183287fec879cc085eca6350f8769ab5d78", "1d5901662dc4fa5be2375f35be07b4116fd450ea", "b2749caec0094e186d3ee850151c899b8508f47a", "6a5cb60fda310ee2528e9877bc5d2a07cd72505f", "52e270ca8f5b53eabfe00a21850a17b5cc10f6d5", "0418cdad1a10b58cf1a526b5a65a465f9324d67f", "1599718bf756a0fb7157277b93f21cfcad04e383", "352d4905e3a10afcb307be8534e4f4ee0be12551", "29fc4de6b680733e9447240b42db13d5832e408f", "d74e14de664be4b784813d93e260abe379e2602d", "bc0bfa9cae364816dac01151d96d0335eb8fb177", "ebb1c29145d31c4afa3c9be7f023155832776cd3", "438f1841a0b09c96759dc870d663d837d07388e3", "7b4b2787aed8b1652f5268c6b7dbfd63d9795939", "600075a1009b8692480726c9cff5246484a22ec8", "66e2c3d23af8ed76b116121827b9bc5e99cf4acc", "f17b51fc9143d17770cbd7164d97e18f9dd6f9ff", "3180192694594f345f6fc5bed5a473762dfec522", "bb41e30d8b2618f215a15c56f3264876d308f546", "70998e14f795d82e367d890aae5476a91472f268", "d57c8d46a869c63fb20e33bc21bc2a3c4628f5b4", "26c591cbb35d4d031d13e27a59adccb74bc89bc6", "a39d318b68a2c262b6351a05f447dfcb0555da88", "08872d801f134e41753601e85971769b28314ca2", "84c26b1ac5c202485b743392fbfefabede8dcd33", "05c43f1791787e78e343536a65a2853af699fe68", "2b0ff4b82bac85c4f980c40b3dc4fde05d3cc23f", "c2c7066b485c2cea70320af5a9fcee975e52d872", "929c3590a6c4e52fece92a8c31e32b897e6f2ba7", "857c64060963dd8d28e4740f190d321298ddd503", "3288e16c62a215254e2ed7c39675482b356c3bef", "f152b6ee251cca940dd853c54e6a7b78fbc6b235", "1d1e78bb93590a86ecfd2516f4e5789cc05d76f5", "980266ad6807531fea94252e8f2b771c20e173b3", "5633425e52156c8d5824d033103b237b1e579539", "7b0e81249159686337ca2cfe81662123906b6b26", "1ebc39c63a722710038c2701cdf681c0c10169a8", "50da9965104d944a8ae648c9aaec43be8ea1c501", "c7bc67ecf4fd60e3323094a5ef8de6f2a525a618", "4c8c89670a55e65ad9b92327d3386b5701dddabb", "1207ed9a9d8784427417c3efe788d2d76a7dc216", "3868c75855df640a73b1fcdfa5df1bb92b878099", "f2977284cc3c6653df957d886101cc485de1a9f9", "233a21100a2728ed7fb9109495cd640ed76011ba", "a3334cdf92d1157dd691d88189e793d18164cd7b", "abb74644e2bb1d1e8610e9782a6050192c3ceddf", "6974449ce544dc208b8cc88b606b03d95c8fd368", "d5b73e7b5f2a72404a6c80c9158ee1d109cda7e3", "aa6854612062edff9978b33e0a410f2717bc3027", "80f281f4ac7e06d1741b91279de5b12a7a167e30", "d628aabf1a666a875e77c3d3fee857cd25891947", "b5877c53c4bbb8b4090393c7c3f1b5ca34655cfa", "95616c511e1eada5c4fba090fe739a4554711e22", "35883d90bbb84a598c85ef8a324f653da7b5a0fc", "4272734bf16a87f22ea4ccc404d955ddfa745fd9", "30722904751c2e1cf287f268befdec2e4223b086", "007e269f105b44042491537d5d7c35cf5b553feb", "7c7ab59a82b766929defd7146fd039b89d67e984", "e2f7a7b3cf0681aea61a99e5289109c2d7f445b2", "c69de80ac804ce2bf7e47974ee984fd8a745a5d7", "3377c068d661cdc35ebc8ef54dd69a41ce3cd55b", "01b4b32c5ef945426b0396d32d2a12c69c282e29", "83a65b371a2095e9fb7c3908dd5fef558cf99ce3", "0ef71bc44dda56495447bbdb3017fd808e765645", "34669c5ebc30be367f231cb2df705e347c34f07a", "87c2806f1fd20287f00b43dab07822ab13035169", "af1a6c35f5d75122756d37faed062d5b5cd6bc71", "ed717bd09e8344c2cfa81ceedfb8baf2105708f5", "3c9f2444b1de1bf960664d8c3109f8b8d5dee44b", "33d631ee947ef0cb184ab6b172213abea9f540db", "764193fc925e817a3afe5930e1399268c9eaa136", "e686e9a642880662e56558b13d3d32f051d549b3", "72cc1aeb77bee20bc2b98e6d2a7d754a512a7a94", "174c8c8a392f4c37df712fe890e5c81cb8e60604", "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "7ac6e6a4a7be438bc6aa4626d4beac780b875999", "3190e8e4617425e9b45ca59d4264c7db735bafc6", "9727c74a09aad74abd67ff1d2dff083cc73d4a2e", "1414d4880e368414cbbbbd215e8b0471f185aa03", "9a601fd18aea081d28408d133140ffb1f6dfcda6", "5befd78017c51dcc6cb1394e1144d50bc936c7c8", "0efb7d1413ada560ab1aee1ea4cc94d80737e662", "5725c06b406b5291915a6bef8b5c3d20b2873aa0", "bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e", "e8686663aec64f4414eba6a0f821ab9eb9f93e38", "6a211543f138d899c1fd98e0ac491ec9689ac167", "f3262127af7729ff295b863a217e2395b1c005a2", "2804e97b5c9dbaf4cb057c14478600cb2f9984de", "b7ae23d8309eb217e2d83012c614140bf7e9a512", "23a8e37363ca40515c7d66ec33cfce3c8c1c7909", "8233c1d79ddad9d969b995d4ef2c6f8ea9acc646", "80fcc4e66906d04e14f5ebc68b0a17d4e5ff0194", "aca232de87c4c61537c730ee59a8f7ebf5ecb14f", "6f08885b980049be95a991f6213ee49bbf05c48d", "116cc9e15e17dba817ac020732fbec30026e5f6b", "00bd394ad1373372ea21297789bcbfe1693885f5", "976e6f7612df76306d920381e4d9cf2927dcd430", "0c5b2a03df2ccd6f236c631f073b6448381a429e", "e39a66a6d1c5e753f8e6c33cd5d335f9bc9c07fa", "cf09e2cb82961128302b99a34bff91ec7d198c7c", "0875af310ab8c850b3232b3f6b84535ffff84e5d", "bbf5575f0d20b79b61c8c0d8b7c2a57224c359de", "17f10af27762b443e4a857b9ffd11aab68524682", "0c990e779067c563a79ae17c9d36094a745d7ed8", "ce8efafd57a849e84d3f694bf12a21ce1a28029d", "8fba84af61ac9b5e2bcb69b6730a597d7521ad73", "6e318d89e8e3ea0ac40be9d06e6acfc624b30f76", "bc27d28a7f694025deb9f46432e751ce10ae194d", "998e829cc72080c88a780f322d6bf7ab78dbd743", "ee87aa52d9642607d86f011c0d7326c4bdc63121", "247df1d4fca00bc68e64af338b84baaecc34690b", "1ed6a05a226cb0d09afd76ff9b7560c404d8eb49", "161eb88031f382e6a1d630cd9a1b9c4bc6b47652", "06850b60e33baa4ea9473811d58c0d5015da079e", "20eac6406bc319a31efb01f7242649fc2e153457", "729d23a3a439927f1917cb93c9c20b5c426065b3", "81f3306d1115004a4a54a7e411715014e0631821", "d7d472adfc0c36b964081b4fa8add4c86de695ff", "22086b3c772ba638e7d50b10bcf544abd93c9305", "2ec6518420c6f5f4e0a9329efa55acd896a92a0c", "01ababc0985143ad57320b0599fb2f581d79d3c2", "37fe5b28d4531c93668d4a56d2e3411c2c5978b0", "4233746214b73039bd80d9650d53651ca24440e9", "d1cb86a07708c76dc17d411e8558b17ce211ec8c", "794a51097385648e3909a1acae7188f5ab881710", "288bddfabe739b32721df62d821632e3dafed06a", "d0016a2b54b115c6e4faced5dbb9598c0813e22c", "8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e", "f28ef0a61a45a8b9cd03aa0ca81863e1d54a31d1", "aa9738c45df4c71ab2cc98384b4afb0fac9499de", "1aad5c9123bbe32ac03578b5af5fa097049f6bb3", "e813691808adcd7a0151fea51313dce9954de8a6", "94106ca511a60fb4fa8402fef4bf22b9ebef83e9", "22ffcf96be0e252397962f51401e6cc70ed27fbc", "adf423f2a76301e34aed59d4e6d6f5378dcdadb4", "ac206a97e981df4514dcae28442beaea31845f35", "4e71e03d4122aad182ad51ab187d4b55b41fc957", "1015ac3d9d9b93227e59328160de09c8bc2c6d2c", "de04e7b854a27d514635e51221a233a3c27feaa2", "49d7fd8975413fb2912e111093749733712210dd", "079a0b0db150b6bed24e06e3ad00a73c9fbe00a8", "c84b2cda2d645475f25d8b8f34b8f21ad3aa059c", "c7774fd600630684cc1d6be8313e2935bb198880", "7a334cd0be8600f92290c082113eb7f65d6b2f27", "98960be5ae51d30118f091f7091299a49f2f34bb", "3b38dc6d4f676ace52672f6788b66c9abb10d702", "b259c82853a563c1f7725d37aa74cc4a6b6d5e3c", "41a174c27f0b431d62d0f50051bce7f5b3b4ce64", "09c34a4829eb5d37f763e06e5f044396d518dc2d", "60ea05df719973ac4d9d70d3141e671131a55db5", "ea533fac61db537fe1e1f351c98ae28db7272705", "2452dfb2c5a4578ac9497cc4dc3c6d5d03997210", "65b1760d9b1541241c6c0222cc4ee9df078b593a", "101c7d54194c02600865d7b0c638e6bfd428788c", "513d37674c661a72f2eac8a79c2f03139d6c020a", "c8d15a58794e4b383424d2d057a518689a278b8d", "fbd5c9bbfb43aa4734cde7863897600fd42eb8ff", "af9a830f62478c3638880d9a870f0b10535b3f92", "48a7c9f9f810b5b5befe7675e8c7ffe40cf473ff", "66849ba55446a5a7c5d057091a82a71d38c1ca50", "f218df397afb1f070ee093bb9a19616f61b562c4", "603ecf880ad770b566c4ffa49ffeb06340375194", "a643302a89805bb8d3d204660a3a60420fee36e2", "6f37ba7b7a5e13760e1b5ca6de085118b3fcb670", "4ae3cdba121dec886a84eff146e438a55513002c", "3136cab00cfb223ceb9aff78af2c165b6e71a878", "ae33dc04adcb83a486517c48078cdd4af7dcc7c7", "4d9a6c4b1f7797962bb2554cf4bb869c7ea57a0a", "c018f62420913102fec2126f140a09dfb90893f4", "96723b42451c42ec396381596490143aac8f85cd", "4184bad9ea7ca242ad52fc385624a9e09d3e21f0", "695f45aad44683979d14a8be88a0f6ae1fa3974c", "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "590065c40574dc797e5aeb380d6e6dab79fad6e5", "c0c80aeccb1628926738ea8f09d238061a8daa29", "abc4d51d510cd8222484f7f4f11a739e8bce42ff", "92a044df6c37571aac25756252dda27676492bb5", "5ad4e9f947c1653c247d418f05dad758a3f9277b", "3c8938fc1866121546f9cff0c3aa03a26fa7db6c", "e121bf6f18e1cb114216a521df63c55030d10fbe", "1bd8ab47177997acb3b0cca4b6a801e6e6ec3eac", "5fba1b179ac80fee80548a0795d3f72b1b6e49cd", "df6aee6739132a91db5b66fa4956c356130a0d16", "9fea3ff012d5ee474a7f41956bc4a4c5b67f09e0", "0bcd89b356dc78aaf3573086f13e94b8e7b5bee6", "dd8bc239c1c5a142ded241cebf6a0b7a0efbdee2", "9bdb40f15d56975436d9223da4e9ef5416591a52", "88740da3333ec14281a6defb55fff7c28025a758", "7688187b1ce5cbb1413d075f435ff294ba09cadc", "0679d05c11c8cd54a597fea870a23b3556c07e1a", "2ee04d30e68e327ab84a9444be36758e8fd86b82", "734d6049fe08d0a24f6aa70bf0d81c217dfca570", "cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544", "afe9cfba90d4b1dbd7db1cf60faf91f24d12b286", "237ec7e6d20025c32069e41f8007bb97931a7fc6", "5552234bf8e016949944d00a99703f20b4fca990", "da11564599083db6e423e99d6b3ac1fd34771b9a", "d9caf1ccf7674156782d3a998c77dbe689f0754c", "a9f7ab254a8c73a51f0eba5a8e13b48924b542c0", "d0f575e4b9d1d535c42b351c71010e09f7938153", "590a52702bdf7f9522cff02f477de1fa98fc2ff3", "b5e4b4cf5178b06e0bb5fd016b8ff5f609eddc8e", "eebfe2f248ac81b30eb42afa29b037de1a7b4406", "8af0ed43fb2f69730b8af570ea3852972174f1d4", "86056abdd2f2dabfd733227196d633166793f7dd", "36bc31322b95425a8ae925b458a8bc6c6f34bcf5", "a3dc109b1dff3846f5a2cc1fe2448230a76ad83f", "9c16a974756ca43b2bf628358ddb08210857f464", "b7cff43f653279a65e23a7a85c48b12a484148ef", "81dbc36c38b820dff88bcca177bb644f55a4926f", "fc369a73eea045497f82634e6ea0c13477728f2e", "4abaf4673d3745d312ed7e62770e6d264acee27a", "fbbccf0454c84bea1fd5c5a1dcd9fd7bba301a44", "456ccc8bbb538037ff00fabf25afb2aceb39149e", "0396dd7b16612bd39a9c8058bb7a91d9fcde6130", "9fb964ecd41f50b40a3d347136df97b4b7f56b74", "52db41d9c507c7b7e6fb3cc36ae9241e70f5f0d7", "ab368172c8acc87ec1dc87d1ad607546b2ea8f6a", "8b82af24bf580cbd22467ab69c588da87956a7f3", "1c26e415c7eae2f3b0f49e0519f0d985ec661c63", "6bda5819d9bc2e174902d839a12127a57fdb43f7", "68c279d4fcc02710056e73a3b0d0d564a7615cad", "263fd526b86c037be6b17fc192a8cbc0768f9c37", "b7d425ea6b476c4af208a6b6a9e84ab17921dab4", "163ba5a998973f9ead6be0ca873aed5934d5022e", "992655a7eaa846cdf755bb1be93693d7b6fe9094", "05d4abd35ecdb5863e04ebb0011f525ba3ef0092", "f8fd80e47a571a478eae2e4760b76c6d63c7a126", "047cd38ebf2ce7eeb885f654ed64d405a0421fab", "9cc91de928faac3fe397b2a93e4dc2cc7ed025bf", "5c271b5f96cfce1b4fdacc728ae8f8ebcbc738f9", "ce588a19ac2390e22839b26de12f76fe215a7035", "482769e4c4cf832128b52f1bdff873af1eee8ba8", "bf3d0e41e4d0a2ef6dbdd3018e3c7f728b5efceb", "78fdf2b98cf6380623b0e20b0005a452e736181e", "59448d96cff9825d86e50d931fbb576e008efbe7", "70c54f9bb5ba03821dba15225eefeb14a75e913f", "e6d9d3a2f1560e507a24b8cfe3d2f4369c79e0f6", "026ca771bd3995748b477e100ed4283a9bf8215a", "446f114979c3026541c25883216925d9c12f9c1e", "159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1", "5f2617d888cbc0e7aea1c5750440a85268f9da86", "9ef73533507b46278d0d27c41e16af2b8ecf23ef", "16cdbdc3038dbfeb79df4cb0936d052e30eb7463", "61de0a35431a26a2f6a38e6f27f4ed3499e4ee95", "b8aef59bac4035013bcdaa9b56d665fc8b4e187d", "3953b89a9001c8816c3c56b778e28b246524786c", "91ee88754cc7a193d51656a3b53e16389bf4aadb", "d827c72d6c9e35066b40bd205bbd71ce487a1c39", "19997d39447e570c7030a214eb4d81e3669ffd1f", "372c054ed554182b5f2a142467ee14aae5a462fd", "940865fc3f7ee5b386c4188c231eb6590db874e9", "6d525c1afbfeec9825a2e438c17861d5c2afc9d7", "a3cd609365ecf9da18dd58c6eb9b04d12a78a7a6", "23a8d02389805854cf41c9e5fa56c66ee4160ce3", "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "27c978bdb9de3a5135349976fdbc514ff547dcab", "1b8508c6e341dcc803e52ed02968ae944c744f68", "543c601f8ebc0995040f4b8de4a339fd4c860cbb", "74671fd8dd510db4abdcb93864fb5d5f77c878a0", "6a6280189ead63b2eec733b8e8ac507e830928fd", "4eb0b82b294f601510cd965adcf0e8c386cbaf22", "37134ecfe5391fb3661807d496a85b04ec1d1988", "ed04ce45b0cffcb4b642b8aecbe26d7069ac9ab9", "ac51d9ddbd462d023ec60818bac6cdae83b66992", "0665853ee87112bc27a9aaec70672f521b91d38e", "7031d7fde9f184b72416759f8a9be4155616f456", "9a9019972dece591f502a2f794e81648b9e064fe", "ced73382d686dee6232c313f014bc21ca7536db0", "6554ca3187b3cbe5d1221592eb546dfc11aac14b", "423e8cc1a7501066b7e0e5bb1beb5b9592337023", "4ecb93ffa3c3b195664ee6d627fd6e46f6798e73", "804b4d57dace42dc8ac4d594db9ad93de33c8d6a", "dbc3ab8c9f564f038e7779b87900c4a0426f3dd1", "c136e338606acb0e3a0752a75cf1cef7db5de0a6", "7a8ba1a6c90b56ae0a98fe43d015ab0f2a73912e", "de7a148970881cbd4e6a12b6a014e3dfeee98cc9", "d4453ec649dbde752e74da8ab0984c6f15cc6e06", "11467733103a3e58ae88cb238f620cf6cafd4420", "75df6bc2dd7225446f2a421d99e9db80b9c50837", "64602e95d49e8acdbca0a7445cade7a4b3476875", "7eb145b301a78d6006cb2c560f9368553101659c", "18c515d42666c95079f9a98eab59ac1cdfb10859", "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "107a293f2d8b104d70d7530e27d5e19566be968a", "9b5db4e1613cd86e6ade687bed5b01cc9f66811d", "72dd9ecc3a1f32d53b4aeb03ea3db14236fbcb27", "7c47da191f935811f269f9ba3c59556c48282e80", "474cefe3f67293f23cbec7b4b31e1c40d7c36352", "bf4073f334902cd76608655b2d54a624ccdbface", "f5be2fae5ba5e7d3550565867e6b79abef8e3f0a", "5eae1a3e0dfd0834be6a003b979bf5b3dc923453", "2b4d40ef1610500c207f166e9a5b55dbfe234045", "81d5c4b49fe17aaa3af837745cafdedb066a067d", "1c38a00dcb7e5e801f321eb5704eb06aaf031028", "6c8c7065d1041146a3604cbe15c6207f486021ba", "69da91e45d74db80e8eb436db31d384f5322c1b6", "66af0fb424e4bc07cc28e08c7bf3a8b70c094d60", "3a0673199699cd51abe0f104ebe080f63d1b6d37", "4a3b28e5ad2ae2c2f17d681f6177da212e51ca32", "3dbfd2fdbd28e4518e2ae05de8374057307e97b3", "a62bcfa204fca20acc7b90aaac01b55d315fc971", "354ddc8976a762ee03fb78b73adc3b5312e5f2a5", "dc6263270cd23a51d8fffdfd7e408250442b40f3", "1f7bc67fb5b3ac9b2a92ba8c84a3bbd4b8e3a656", "5fdd81fd5e4caa852b6be3e6bf7891578248d662", "948317b46a24ba11bb0220875fe7a9949f3d939c", "fc43ee52274f25725535bf7f6184618779125987", "c9311a0c5045d86a617bd05a5cc269f44e81508d", "f66e2d403774d3fe49e8c37f8acecb4e43d1675d", "dce54bd12826fd86de660e8bb1ac7ba19198aa98", "e3f63d12be07c743e7590957f4ed38b06cd98aba", "0db787317ba0d63ec8f9918905e7db181a489026", "33b4dc370731535e39df8ce22fb43dd80d811dc4", "8f3d5f9ad240c186971edc652f8385dc2a53d2eb", "299c1e335fb6c6b0cfa4a733f66655dd35bbdaa8", "8e34eb3f9f9bd7ba44f46b7e622ed083497768d0", "13e348264fe1077caa44e1b59c71e67a8e4b5ad9", "ede1f00c2ac27ac90dbeb0df1840ac757447af34", "b0c601a43384524d85ff4aa0bce65b2091133b47", "3002b5180c4b4fbf9c07145b5b435846c729c724", "15df73918e084a146cd215b839a3eec1cc813a78", "2ede15b9454ea7b5593aed9624e14367d59f176f", "b6bf9d357f280ba8bb8338b2448f0f90773f5c57", "af54dd5da722e104740f9b6f261df9d4688a9712", "2f2a07283c960f186da6aac5a7f6cde5a8ff49e3", "d088be037869cc814bdb8ecfbd9b7bbd51a5b056", "be9f60ec249bc57ee9d337060fb20bdb8a0729e7", "73da66ea59da581c31ff9dd5f7d8243356360eb9", "b514e89249042899eafc890bf9815d2507b13d7e", "9377376b366dc6b7c1ec03db7ffe611056263202", "c65b71ebb22745504f4374c4caa4939855544e7d", "6ee8a94ccba10062172e5b31ee097c846821a822", "e8baf6ddd2e651350b843fedfe58f761848d3524", "bbb73e73d79a6fd994c55bef96eb0d293c90c13e", "03161081b47eba967fd3e663c57ec2f99f66eebd", "ed9967868fcca2ec38402d2bb3e6946b8e554472", "43301d1b4a66471512abd08fa2299bb99a7d24f8", "b8ae7c6ff8d34cc639aba63b0f4b094720482280", "82b4922d1e74ee7f4674206358fa7323c1506f7e", "b5d14fee9658877abbbfa760dd9765db0af86ba6", "f04c83d778ff4cc7c5770487f08de6b3c2271fbd", "f96dad96192fd1c81e35fc3bf7bdb75a6f6f96d0", "c54f9f33382f9f656ec0e97d3004df614ec56434", "2d331bdeaa0962eb210270ddb951525d47df9d6e", "ac6b280f2a43516fbaf92073304002f9f4da0188", "9e384187941e939453fc0c7585c1a8e76d535c02", "68eb648a6e18ac15ee31bcabbce64c45db619639", "cc5a62bd7c45a9ca479506acb572566331354fa3", "1ffedba43c470ee93a3cf9db547ec0b55f23b31f", "afef2b1d35fb807f422cfec0a370f7d08d4651d1", "743679e51b879b01e9cd30172e63b0680977430b", "2db41f32a41a090fa4ab1a230a27749758060136", "3b44f90cb302541793407994378698d5509a9c15", "6c66ae815e7e508e852ecb122fb796abbcda16a8", "0af88d7b57ceb8c9b4132d792dcbcf13ddad972f", "0e25527a7df08c8cda5e86c7a255806289b0ff64", "51cf3fa26b7c31c10427317fb5d72a6712023279", "250c8de6e884b5447d0b63d28855eb5078562197", "a120cac99c85548d0749dd83b0450520949e6474", "bcb79e3ac69508060c8cba105f6a8622eb929ab1", "8c855cd52e30dbe35abc3accdb58b6f48bb232e1", "19f7654f22416e6fdf430c1c873ad3e8c15e64f8", "52144c6d20ddea70e59514c2aa9ec7dc801e5c5e", "d802ed7d8b7aea71a10bd0d700fd11fde5729993", "6b47b1c5a628ddb939d0088b36753ca29b3f9b76", "df9c3dae5b14e739b1507e2e9f9158f933a3d246", "a53a20b01e93f04a37e0ce74100a658d6443591a", "6e44ddb54edbb80d5bb8f2ca3b36e40c486b9daf", "0b1cf351a4a6758606bea32d29c7d529e79ab7ce", "17d212e81f1e9ab707a90a010afedc1d85678a26", "caac13b7814e65161a3e9240e536722af0edac06", "9ea337ffdf652803c805074d61b2d6a8d7040e95", "6856a11b98ffffeff6e2f991d3d1a1232c029ea1", "b3b802a883fd9f796ca4f056b1529ffaea863ba9", "77cc3e55ff5e18eecc29f2fad1ced236ce9b0689", "5047cae1b6f47ac1715479abfa3daf1c1a063977", "4c3a0d87f7aefcf3f420c86e8dc377edbbcc25bf", "8de06a584955f04f399c10f09f2eed77722f6b1c", "1ecf4055831ca23c9f6026ef866dac95c8b8f9de", "8edb2219370a86c4277549813d36a6c139503fb4", "9aff97b4fe0b3df61233283acf264723f4dd3b4f", "c4a5932f33e6f4ccbfc7218fac58350a530d0ad6", "125d82fee1b9fbcc616622b0977f3d06771fc152", "40536b0cc73fda29a335c6ecf9ce891dcb6d04cd", "52deb24ca3822f11ffde755fd9e5eefea3958058", "da50fc942b1edc535ca69f1b922e856620aacebc", "26d04923efccaec3a2c4435ab760c84a46f458cc", "8d09e7c3c6b714574b2a4a7993ac94beb9d4f50d", "a149dd3fc6c7087c414f9655d92693ce9d3df6ec", "0133e8ba2d7e51c363c954f455ea7c4bae2be410", "591094c5428c6010f87ecb93c89976a54cd63bbd", "2b2f98518464a27c400b52f8c0ae4456dcc314a6", "232d99697a18c3065f2ba7c5f2d93d87731690f5", "4335805938a35a47cf86c985e993f73060405679", "1339188247e3b8fd102b37501eb93cbeab71b870", "6c3c845fe484bdb2b3549054644c7a06bd9b87b8", "734cdda4a4de2a635404e4c6b61f1b2edb3f501d", "3acdccd33e518f22dcfe36ee29c332a644afdb25", "5f19b98e5cd22198d25660d609cbd3f4a69c94e7", "d6b1e14d211145bbc083b230d1724826de430fb7", "41e1084e74564ced3e1fa845250162d6d0f2b9c3", "1903276bb462d3ccd4f1fac3a8e34a53045ef8a1", "1a140d9265df8cf50a3cd69074db7e20dc060d14", "091a4637735c1a86dfb94432d01db0f11519ba5f", "310e83d7555b3a084e8251176d76648b7bdb3c2f", "8459692ecc49cc87311ad97de85576e383e36490", "1b2e50412ec151486912f0bfd01703c8ec46b5a7", "24b6d839662e5d56f17fc26eab4d2901f6835ddf", "94347c0f73c31a9fdf04e9d581cfc47ee94e9ae3", "c0014e048a5d15ddfeffa075a1b819bcb93dd351", "2c12b2bd93f9ac8efc5c94e46bfa7a3cd0461052", "c28461e266fe0f03c0f9a9525a266aa3050229f0", "537fb9d35e56be9436b42a9e5e3405523c2f1e0e", "fdf5ef8d3274ec3bf3d0bbb210a13c419d9ce9ff", "92b748f2629b3227a9c56bc9e580f45eb5bdfba5", "83968f81f23a34e18e850fe2cf68bab51e22e35c", "130bf256f4cc3dded4fb701f74f6a34992be639b", "63fd7a159e58add133b9c71c4b1b37b899dd646f", "a4e47b6cbadfe5085c0a83f39513bda0ed3e9a92", "74c76a7ddf2a6c76744662dab88e20d329646a60", "552c55c71bccfc6de7ce1343a1cd12208e9a63b3", "928ccc8c4ae415202d187a229009dd48e57871ba", "d3612bcc772761b611365fe21c42eafb181338ef", "81b6de17391f44c07b2efe75a529aa200604ee48", "bdf7298687fc1eab1589d32b0639426abf06da21", "f0aac566e3d2c06759b8f4f45a270d5af93b9705", "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "670637d0303a863c1548d5b19f705860a23e285c", "139bb2a4034a0498934185e8c6d515d8f9330e2a", "135fcdab631ab30ae837a743040f1c8751268e41", "dac8fc521dfafb2d082faa4697f491eae00472c7", "c6c4371bdc0214d66703deaa5e1e464d18cd641d", "8fa9cb5dac394e30e4089bf5f4ffecc873d1da96", "bf5940d57f97ed20c50278a81e901ae4656f0f2c", "6d96f946aaabc734af7fe3fc4454cf8547fcd5ed", "f7993cc8b37a99da066b3338264edf2bf316ebfb", "720d4e1c1535f26c3d6a68c6b00e44d7a8ffec36", "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "0c85d1b384bb6e2d5d6e4db5461a7101ceed6808", "cc599ad4070d18c716a6a8bec47c88bab820fbcc", "f18ba83ccf4f7bd1475495de832127c62fa75bbb", "8acfef0eb76fe38515f1cb742bd0fec8947058b0", "8c2b663f8be1702ed3e377b5e6e85921fe7c6389", "b216040f110d2549f61e3f5a7261cab128cab361", "edb01fced7e2fecff6fb4909d99213d33781dcf2", "21b5af67618fcc047b495d2d5d7c2bf145753633", "89fe52d1be59c7cbc8c0c2d41a0247060390ca74", "8818ceb7bf41b07037a7396058b69a6da6dc06a6", "90a226bcd72ac3bd7a0e12d416055b6299613169", "eedfb384a5e42511013b33104f4cd3149432bd9e", "d692a9be9983c4445ec3cf599d6ccaf379fc0cee", "5dc056fe911a3e34a932513abe637076250d96da", "4a2c156062bc1a82edf3828c1e79f01bcb842544", "6c28b3550f57262889fe101e5d027912eb39564e", "98f507d182814e12559aa00d3b2552f299dc7bad", "78651b2d44701090f730166d45e414fc23512eec", "9065a972f17416149f8e54eada1327921ceff412", "76e7484e7d9880a56f01ba28e9262397bd10eb2a", "fccc78bbf95f866687ad10c3749222d884fac79e", "5507497aac9907f49effe0433c4a3d8ecbf24018", "38c7f80a1e7fa1bdec632042318dc7cdd3c9aad4", "510257c8cedc079aae88ccbf3dd10a84051c8fdc", "cae68d5af3c3c6167aa9b2247ca27efe75992ccd", "e3a8f18e507d9f2b537ec3c3fcc1b874b8ccfc24", "ae6af6bfde5383f74f40092a5cd48ed6bfd7ef9a", "ba52e9a82fd707bd9cedf44201edcaae74fa34da", "4542273a157bfd4740645a6129d1784d1df775d2", "158d2c07561d55b7eb11fd12ccdc783fae513175", "7193d689593edb5f681e6678eb150a2da7c68105", "1216f1aece5e152302451f4e5c105c6c68829732", "88bb5fe557339cbe7d2b45df23e63b9829ed6d24", "cd1a26f151cf6bb7aad90a7ca939df5bcbceca00", "03d118ea3b30209ea4f71256da0b46e69b794a71", "e1ee1e7c355097f960b872223190b9ae8389a800", "59770c26ff77f17d6386c962c2b0753cac041382", "8ab183883acba0501c3315a914aee755b5e517d8", "ce56df12d12e8bbac451647a8e2ac5c9a52ed240", "8c8d4719fed7d487260e2c4e88a5adb7132078c9", "340716ba8c6ab315a4253cb3750c74aca54dc3aa", "7a3d52e10e94cd142928d8777e82455f2aaa3364", "bb967edbeb6b9d7dda567a91e99546e2f6477ee3", "c4a57492ea32a09899c19595c123d40a07d84408", "35cb2329c0461c990bf65d9d6d71a43bba90ee99", "2f6a4bda37c7efdf178cdb3e73fe4b23910f28e4", "d3d5d86afec84c0713ec868cf5ed41661fc96edc", "5960888c4de94c7caae1527e9f0cd1fb13dff808", "ffef029c360db36c72d356103f7b119c5e54f96b", "34964b22c248b304753179349ea84a2b2e9217d9", "f41ae7b47391f10f30368c519d8fe3e904e3a35f", "b7f7a4df251ff26aca83d66d6b479f1dc6cd1085", "00d0b01d6a5f12216e078001b7c49225d2495b21", "27e5b7ae3506a0f7472ee9089cd2472442e71c14", "19868a469dc25ee0db00947e06c804b88ea94fd0", "e9e39e31419d9a22790b327bc1d6107fa832bdab", "82d5e927c4f1429c07552bfc7bebd5f0e3f2f444", "acd5b6e9bb6a87a028aeb33c805e352ad98ade02", "64281b49a34786912085396bafd67429725f1bcf", "73111b3403ae8b59ca2955dfdee6c5d5eb9fe04d", "91b1a59b9e0e7f4db0828bf36654b84ba53b0557", "0ae7dbe27a2761412b1aa1a65563b44d5148eccc", "4b5158bdc12b3704fdd5d199f83ace8505be2945", "8b632db02220806cd62e35fdebb3ede58243dee0", "90496b7dd9f151f97681d3289ed4f6f18a57b918", "3c573f52d7df943ecb5d4b4e1fe835f7622df890", "8309e8f27f3fb6f2ac1b4343a4ad7db09fb8f0ff", "0052de4885916cf6949a6904d02336e59d98544c", "00ebc3fa871933265711558fa9486057937c416e", "4926af10d590686f4f5706b450515caaa1ddea54", "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "56bcc89fb1e05d21a8b7b880c6b4df79271ceca5", "b975d9df20dbddde183c06584e936e7d170d3ca9", "383b1ee2bf284c99c68a426dba660f373a83135d", "87a57610e42de5f94641ab09b53b3c26f36f9eda", "bfb98423941e51e3cd067cb085ebfa3087f3bfbe", "2670c7e83d34c3e43a6b6295b453e6828ba27d15", "6cad808376cf5c5dc8202471c046c2cb80afdc09", "a8385939ed0629d39d25053447f80a126627c307", "b110375e11086527aaf0d2b38e5055432a720c35", "274046ccc3f6641f29e404f4c731e5d6b771de26", "9cfaeb64ba71ae144df1530acf517085ebc4ffb7", "e5720c765f38e6a98d79b889f3f3534b7e6f4bfa", "8befd137ed05e5797ee934c621eff6f3fe8f7ba4", "8ec368bcc138736efedec4ce4fb5eac2c7d7585f", "93eda37ac8a2937f726cef4459ac6fd7b155ec4f", "3c8e16de72af3f96af31b26aeeb01c8bf41148fd", "6cd5b56f4262c7e13f61a4a6f28eaa805f4e3291", "96e5fe29580c85a07092716131ed3993ef36b81c", "0efa6a6f385ce1d9eff6410ffc43e1f5a3c24f21", "f41bc477a7a0ba36d11f82ec55131913f9ffe678", "63e91ca26ace8df65a221f819f3bb49d1e7830fa", "e32a592aa7d441f834b6bf339e2e2805fcebef9c", "528b49d4cdc30752c40ec07d1a9e9b0801933feb", "21046754cc73414edbfdf5a7ffa39b10c293beab", "4b8d80f91d271f61b26db5ad627e24e59955c56a", "3566f27d6857ce82270bccad45759da955060a35", "b6e3b42ea84bbb84658d34e7af49bff139616084", "713d4e7edcbf8a4f4c0ce521d58ac7fd9c9e9bfe", "176d9121e4e645344de4706dfb345ad456bfb84a", "cf968e26add377a7edeae338629f2f4edb050b0d", "bcfd771ee51f2813e910b339d08d10057af1e294", "11ea239c256ca20662225897c2b800c7e690ef04", "e87ee15174cfa36d1e91710140608d78d1af2e55", "8fbfdd249ebf5a83ed3c43f185d143375382cea4", "b62b41a45ab7c3697767f9f6de177b8b23357ec1", "f7630f80083a27ac1ea3e5818a70857723974f7d", "1a53ca294bbe5923c46a339955e8207907e9c8c6", "f9664fe3167ff72f6b91aa84882e23bf50907d43", "6f304800ac95746611231ed1ef76fde426702479", "78dba6eb788bf228dd60a18ee806ff0856ff4a0e", "a6cbac33da95bdf7167d4a81275755b6d91b7822", "8fe43144c0ff36ffefca869eec0a63e71ca02049", "da7151c9e15598971921a2fac4900b2503982535", "42ecf293be16049b307fcf6a4ba589f9630caf8b", "f9b92e15439c82aef4969e0560683605dd8ce1c4", "ea86b75427f845f04e96bdaadfc0d67b3f460005", "55d8052477e599125442de86cf4b05bc6ea0fbf8", "d5ccbc99a89934b5f2dd3f0ba7e028ac9c347b73", "cef58d5b3e76a2ee1c157a6b1ea3329dc7624e6c", "94c19b15ffa7cbc7f755d063296674c23f0a7ef1", "52a723061175ad141d73cb3979788e8afb7291db", "301c8c7fee33ea4ae50b18a8ac630dd91eb40a73", "ba84a1f07df13a46c2c3af12b9d9dc33f09dc107", "1fefe3ebd72a51d7883a16b8d5d3220589c9a738", "d97bc465d568da984418e886c3b36e3151f40690", "dee39ab960882e70a87501118dfb61cf7a0cd017", "7e988b6f688f248d803be9846a4cbd4126afc785", "af6a0bab11a95dfe99b835c724e7901b9bb8aaf6", "f5acfc4c017447ea94c9d9cb19a9f1fcd4aa51e6", "87d9bef42fcb887442223e52f751959c681615d3", "3e63e93b46a403f4bdbf3f7e497dc53c23b6824c", "9eb13f8e8d948146bfbae1260e505ba209c7fdc1", "0ebd83e838dcd5827329c65d1ccc260e7aa7b5fe", "74a9712e7f3c8cbe5f705d88e531969dbc663aa0", "52274e5d9dc1d3501ee43cf741b835012aae574f", "070d945a9aaa064b8831b6dba18d5924a51f3fb3", "a5dd647ff98d8ac9642a884c501de9a7aaf9a1b7", "1d6a99e11ed5576bec973a35bc50d196c9a38e26", "c8e2582948d60d6363aa20208000f07c002c21cb", "4589d6bbb3186fc001ea2a42ae1ea2718edba915", "707aba1159407acdc549311395f909d0d9da2b9f", "eb7e40aab49fdda492bb8aac02f520013931144b", "e1ec6a3ad254558aa529fe23eb815c8949291f90", "85a136b48c2036b16f444f93b086e2bd8539a498", "a5db464f4f8e7b688de5dc53733845f1db536004", "6d8057ce549db311b7ddaeed8dfd934b58c1c281", "7966146d72f9953330556baa04be746d18702047", "7fd36cd223f27f52b5c2ef5635cdb8a6bad3cbde", "648c381bb3365425fddd643f1ce7d97bc975f7e6", "08b7f088e04757486b34a8baad2ee07f4d1d0544", "31ffc95167a2010ce7aab23db7d5fc7ec439f5fb", "21a6ad72b4dddb6720e7278fcf384f9fd131bdb0", "73d74679b7eea15bdd2a68ac97c2ff32e0d73ba2", "355a0e14992896f88d4043183f7d5787df8e1ce7", "b06254f76e13d5f6ac0230fd8bdac35b901f9480", "e33bdda2a9eb3d9f99b334d5f75138aa1d880f31", "61ead7459c4d49ed1e14b38e1d179ee408e4036b", "036dbd85ce68220418b722db44317252ab5ba9a9", "5ec2567c3bd8ff0d89d13d05e7fe298651f2e555", "7c65429c04ae814384090fac76089c3151394ee1", "760a712f570f7a618d9385c0cee7e4d0d6a78ed2", "7bc39edde3a988d81a86650d43b0fda475c6fac0", "9d55ec73cab779403cd933e6eb557fb04892b634", "e19d1bde4cc052b4b563ccd5507738211e7e95ab", "cc2e4d3f1415dbc800fb84bf7a354a5ad3213ca2", "218a46f811d09e697f89b00925467707cb353696", "5ebf0f611a1dabc723a8e8c351e626171f75c26d", "2d23fa205acca9c21e3e1a04674f1e5a9528550e", "6cf5d7c14c5df98d19f7c457daabcafd3de308bf", "e61efd3087857ba11bd4ea85e294c2701d3dcfdb", "9342ac1c8bfde4685c6ff420d03cf51fd046275f", "378d1d5c16d816df8ffd79e9e8bf2056a0c66838", "2829288498cf03d87301f12a5bebf7f9faca0884", "daf4dfc87cac71f1293e5269ade8e7bc7c9c42b9", "26fcefb80af66391e07e6239933de943c1cddc6e", "f40767ee174caa01eb0fd09bfcbf703f7ab50dd5", "2fe089ed85f3afebf3716c75925c8458baaed7f7", "660c99ac408b535bb0468ab3708d0d1d5db30180", "f451ad96ed92a2fde9e03836510d0e4c1d44b22c", "bce970f44680f3f3fbf2ebb7a53272afe8e4c5bb", "42fe1f908a36e68829779b3b7b830eec407afb94", "40fe5e764f5d76c1bd050dd4e396ccb6c82b7370", "2c34bf897bad780e124d5539099405c28f3279ac", "73c4963d308bd54e61bc46544f4552aad5dd1d91", "4a963c8f186ba66ca4976354c287922d24d2edd8", "0f65869ddbc83ca594500a165782ad072928b456", "2161d9a86082d820cc7bf181464730fb451bf6f2", "7e55dab6f23f8e0f9587f76ec1dd66e2dbba436a", "338f0018a3580fb4444d9af59e14957084d47996", "b7c7411eed2f3b6211abfe0aeea7c18adb028d11", "5217ab9b723158b3ba2235e807d165e72fd33007", "00eccc565b64f34ad53bf67dfaf44ffa3645adff", "5e69f33032488e9c897bf71d74bf3d76a6e3c648", "6b8acdb90ec9200fcdfe1cdf1d90993b8deb1c2f", "22cef598fbf596423b309085e9ccb365c2128a97", "8ac2d704f27a2ddf19b40c8e4695da629aa52a54", "39df4f8ad7add3863208a5f7b71e22ed1970ca58", "1181f1146db7170b09f28f7cc51c42c63547d84b", "b5aa77cde8ac09bd821cfd34d0a0d1c12688779b", "5aa29373a59c60b01df4f8986ed4902e6dd60b96", "0b20f75dbb0823766d8c7b04030670ef7147ccdd", "2271d554787fdad561fafc6e9f742eea94d35518", "8a0d5ee127bdfa97e11f5becdb834505f8b5ad39", "17605bec1ea7a55d87eb07a872858d86b703e9b3", "61ead80d623e21c8a9f166964689a5d50dff9ae6", "36bb93c4f381adca267191811abb8cc7812363f9", "5c13e88b0a739f02de93126b4d376349588fd58b", "ddeb017c0452f14690ce240c90128d979289ab5f", "e2063ee46a5828ea258ad9ff4f4bcce535a5301b", "3f9e948faee62a85a1b8a14f45fe4bb4be1d6637", "1acc5e2788743b46272d977045868b937fb317f6", "d0985f3f3b74c9a8c64e639aeacbb99de02a651c", "aa94f214bb3e14842e4056fdef834a51aecef39c", "18c4a0e82fdddda2530b7281ad567abc0373a89f", "9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d", "ca7558f503ac687ba6f2fd197660fb542ef67862", "e24edb77083e9cba6fc50eadb3ec64ddbb43c120", "7373584a27320824dc9bc0bae58364f701a1210b", "19a4e3458003d5160e9efd31ba4789cf46f61583", "b6dd4057bdeef69148ee22e9ca31b44434c0e89f", "a489a7951c7848ebae5a99ac590c016359a85434", "0b3f354e6796ef7416bf6dde9e0779b2fcfabed2", "ebce277a2510701f1a2b77585e4d02c3ae32aebc", "5e09a85527a2c471ce35b21a3b22ae1620c80176", "a2b9ad7a09b45c661774dddc72c5db9fd8109ddd", "90de154ef57f14d200af340f54aec11122252556", "c4c5309ab3916bcf27617826d8aaf1e75ef9500a", "26cf0735be5ae85e58542d81c66b36390c8b6dce", "a6c0881a1fe3dde65c1ae35dd6a1a7300552b6a1", "f33e0aa9940d5fd5db44c122093581cd044ca28b", "10ada578e2c7b33754091bf14c0d98b9e532e6fa", "03952d539ce51494a94622c6fb8055d3bc9e2c9f", "970e9aced75369c697e2be8cf970f3a173ed676b", "0c93cb1af3bba1bd90a03e921ff2d55acf35c01f", "8fe2514fad1267276b8cff850d0c9e073ea6797b", "19eb486dcfa1963c6404a9f146c378fc7ae3a1df", "324e8dfc441a1418273157982468642d7792d04e", "705a61f5e2d31a2382f3f07d1669755284d8407d", "545600c4926bdb5ac348c3a733db7776392906c8", "5fabe9b544fc3a80d356f0e4ebe323093cd5aa5b", "08ae1f8dea9b5ce7923db6469443f43f2c290510", "0f29bc5d8458358d74dc8c4fd6968b4182dd71d2", "210cc7fb206355a795b1c50ac8d17445e4546747", "6a2ed331afbdfbaa9e98bc434e48c183a8aaa0b5", "a14879e4326105502892fee66606a8998b1baad6", "f4bbe6831dd4eafe04dddf8eafd03a835c26b87f", "ce092c54917473afe00bcbcacbf8abb361959c58", "9af50efd1226743c8404245665f55a6b86baa429", "6b742055a664bcbd1c6a85ae6796bd15bc945367", "bd25c4ad7471580ed9787eae041b80a3c4fe97bb", "4eecde79b5041b456f17662294d5c0abdd69dfa2", "857c1ba9b7bea644966475bb9d6d4f29d7b13f2d", "c35aff2baba9b62fbddb23b2d4346a987823ad7d", "0b8c92463f8f5087696681fb62dad003c308ebe2", "8287aca4f019298534ad11e6e0943d0cffb7468c", "b463f935ccd91831cb56bff0a27a88c4320f99dd", "8c3ab1ee8734c0015bb16214192fc7d7efb5863e", "84187adc5e6412123405102bb3c2f0428713593c", "117b78d154309d87c4d84ffb64057c1dfcdb1dd7", "fcce89d4b212d5ba5ffd2c84498bad8275505d84", "85430c7f34259a9d76286427802506f0ad84d503", "4d9c02567e7b9e065108eb83ea3f03fcff880462", "358e4bfda3921545db73efd15c6fa08cec92a4fe", "4d356f347ab6647fb3e8ed8c2154dbd359e479ed", "8210fd10ef1de44265632589f8fc28bc439a57e6", "23b41291a31bd66c170ff3a08f2c5507fcbbdd6d", "977bedd692c240c162481ef769b31e0f5455469a", "cc9d068cf6c4a30da82fd6350a348467cb5086d4", "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "a1ef8f589b8c1257d3737044f0e96503ae0a41b0", "40cb6ce9f6521d5386e20cc1f1c7886bf7e08b61", "6f5486c415a6aae48fbbc546358993d551ac1cd4", "e098cb8a1b413a1dd5f9a70d91bfcd9c8f8923e1", "e3c6eb3bf5b39d13e96b4cea186e88748e2dc3c4", "eedd405b9c44da778ed3246ec3df2d5b26ca0f7f", "fb807b5ae37863531a49811de04ca36fd44996d8", "31c16cc4c5b9da82ade50de69ef834c7712df8a5", "922d12067a1999c81c17dc9207e8816c93b1dd7b", "d62817d85b55e04021f03e1636fc2269adc5adcc", "be5975d5ac261f6224ad43e78d0f14bf17c3c941", "cee5e1a4e5a79ed93a3f5a6cc0b22e38f1c8d389", "83d9472111308d8d3c0d572361228ce54f1c121b", "b8711c88f5e7064e4626dea33e5dd1faedf78ef3", "dff60c66bef83fdb73fd7617eba7c27e96f75276", "a15e9417c0d89fa541c54d95d4192677d442e667", "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "4d4be112c180d5a4484fe6e17e506ad6e1853f08", "c266e41f18f72d4512dafca61312370ab2f99bb7", "b272dd2968cf7e14559706d2eb52f185375e839b", "66a4a03ea58792e4be90b20c60ddc65de736537e", "9f60d8b2791acecf7cc426bbe93a9c0f53beee52", "856cc83a3121de89d4a6d9283afbcd5d7ef7aa2b", "61f853fe195336300d3ead1247402b60b685001f", "a7a19d9cbc25a821e0a2e991e0e5233c703e754f", "d9e34af95c21c0e114b61abccbc653480b370c3b", "be427965a79aa1191a1ea9dd79717d89bcb74ad1", "15d1582c8b65dbab5ca027467718a2c286ddce7a", "70b500520e0e229993f0154aa4b08b5bd7601253", "c207fd762728f3da4cddcfcf8bf19669809ab284", "3ca50b11000acb99a954cb9bf25ec302c6df2404", "dc38354d4b666a44dfc4d74e51348cf0db0181bc", "65c7058623c19980c75be8ea5790f4a641b6846e", "cfdd0f44447467bdf1030ebf40421b803d8eceb7", "e71c15f5650a59755619b2a62fa93ac922151fd6", "0136d9114d62aaedcfbb50ed9594d18e10424179", "0df09913890d9ca374079d504e30791a8bc389a7", "f42990b279966fd178c37c6cd04bc523ecc8a92a", "e72347d213fd8d14b95daae742a6bda3f6fb27fb", "f4b7dc95389227baf0d3543d135fc2dbebf1c3f0", "05f3d1e9fb254b275354ca69018e9ed321dd8755", "1e6de0c5064923b1356925e58f0ad4db195b5c6a", "94c2f28d51193077cd1dd391962a04f254033215", "176e5abddb87d029f85f60d1bbff67c66500e8c3", "19179eaf3255650171df980ad1c02efe482b47b2", "0f490d2c38aa8f141ea55e62ec02609a1301081a", "2c906190b56567b35f266e29e766123ac8b1ce7c", "84a74ef8680b66e6dccbc69ae80321a52780a68e", "7fbe17089f8d0f6125e6e60da9d1f6b42d1b319b", "f3a094d213b373d0aa20e157fdedcd349c1d1777", "3f4798c7701da044bdb7feb61ebdbd1d53df5cfe", "88f8b779cb4b8d9af015abccea4c421e6485ceca", "c9af0ef038ee0bb783d77a5aa7f04c587043aded", "3cca51f66b9693bc188557abe8a628580ae62aa2", "9f64f09074e9c17300c2858d01d16d5ce54611cf", "2479eb0d2eca1ec24825a68134fa67763c8f08b4", "01c7a778cde86ad1b89909ea809d55230e569390", "ab302d79e419348499acbda4a627b67dec89936f", "0a7b474a610524288df278c7f20ed3b4d477a437", "1ad4981e51cb55e1ff3ffeedabc7e6ac22e77343", "28d65e4d72638983fbc723b102d78b10587c06aa", "88b79457f60544bb1a6339ec2c791d48fe6cc731", "173529e7cf473071c4880532a2709475a81053c9", "2b8fa6187db53c53a01174838e7ff8b77205bedf", "a1bb205db5a42281cd68c245f1ef9e0122cd10ae", "8ec193302458bd9805d04042e05b59662d7b411c", "8b64dbeac77fe8d6bf440311337451f9f61b9ea0", "68d7b5431eb2b3b967455f09554e5b1559d82d32", "0db036d8ad2c26670abeb42b932baf0d6949547b", "787e4415baa7bfa198a7e4a245c9b11034b01510", "8e90b97ad70c49c8d83bd4ef9c0b64555788c944", "1f3af32b10e699a6bee0d696c55f2b994075edc8", "3c0b4cd76b16464addb05d52f9d9bf02195f11a2", "d5e9ad75082e41ee5c35009f96f6b23d483111f8", "772daa4b6cfee20eda725b82a568a5e21e36bb2a", "7702e45b6cf8a7c3c94944d837f20c56b994496e", "5670d4eb5a49ec876b9c58110f1091216ee23199", "3767c07e73c8968d144762bc5180d37909b605ce", "7606a74de57f67257c77a8bb0295ff4593566040", "ade79cfe160309f1129b7bdc7ff963b94409653c", "2ef1b1b5ed732634e005df779fd9b21da0ffe60c", "7079c51423ff61a18692da993ce3113451bf262a", "879ba2e6c8553e2ef418e845d3f3999c03264021", "dc12511c2a72e2128cd10d77bc40a1453f8f17a1", "78eeeb7f15ac69d12e6f5df06064aaa13e75aa2c", "2980ca344a48c0e7d352c4badc3e8bbfcaa3f96d", "1d25f0490f561ac7edb83b0a28ea7c0dfa08dfe5", "fb25566db4ff4d676dc4aec99a0122966e3e90b0", "1ef9acc90b8c19550cc4697cc140611561b338d0", "4990824c5ff6c993e0697e272026438c4a05c3d5", "8966eebfc31dad7902ff5cf867142bf6af69a0e4", "2f4dcc62e541c15f625e67859b6750bcf16c2e63", "e76e1faf1f92eee805c9c7cc76c5dda23f568f49", "22f1b026bd78fdc2e945bcf88a6d69d44b484ec6", "03e755815b69e3f37c2c9df6a1c6a8df7649706f", "8a29378973987bdb040f35349d1c5a86a538c0fc", "599a84997acba7d31fdc139867097858b4a08b1b", "15b30fc33fc36ce21ad5c5bfd22f61eb366d67f5", "d5620af1bc8ffbd20a4fb82a4facb0f46ffe8628", "ccd21acab5dede82d49862dfa188e02bb8b24b9a", "0e4fa61871755b5548a5c970c8103f7b2ada24f3", "df550cb749858648209707bec5410431ea95e027", "ac11be5e2656f93c1b02b0222414bb3db8baddd5", "f152fcfbca25a19e9984fcf264cd7f0e34a1e236", "2de33637fae84ca94d89b3b3d681670191c6281d", "2d990b04c2bd61d3b7b922b8eed33aeeeb7b9359", "54966a5ac5a2aa19760fb5197889fa9dcccac1d1", "4a24d41aef0041ef82916d2316eea86f6c45c47f", "df1a10668eaad727ec3fdf0d5df405bbe29392c9", "227088f0446f648bffcc2c29f727d02ff4bd054a", "f3f41178d60e8598a7c65fa7415b8132d7066960", "0c7a9230ed9aae4cd1f26290cf140bb9c7286954", "ae1f9177082d209e70e6f40502b9b6b0529c7862", "9ff45d69168eedc6538dc684d94460ab4522480b", "70d2ab1af0edd5c0a30d576a5d4aa397c4f92d3e", "3b21aaf7def52964cf1fcc5f11520a7618c8fae3", "36c91d8c2ab00252c6dfd137e74375f5498d7a4f", "ad113dda7a694458f4dcdb4d0715e1c1b6607ed4", "2d9e30680a17bbdf83ce27287bc1901da7198f74", "f31cd51c87e64bfdd5c2c9259ae40b5add8cfcc3", "f732ff3e718ae0f86c5d8cf66b30a18878762863", "d1af31b0a4611a3b686fc440e4c250c1be221c71", "f23cd33ea1020d0fc82fc6e5f65a87d8e3edb3b5", "21f7980a22300983e1cb0fa02a9c300045a08740", "067fe74aec42cb82b92cf6742c7cfb4a65f16951", "b88d5e12089f6f598b8c72ebeffefc102cad1fc0", "1c3d1f85dab473df151bc6cb16e7361da5882bb9", "b9a6f14f5d3af6bdb31b40c6289e1b7aa323412f", "5884eaf9f7c20d6d65892a9eb91020448262c5d8", "08ff81f3f00f8f68b8abd910248b25a126a4dfa4", "38a75d92684122da464a7fb1f9adc8f6acec74da", "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "40b4050e417b138f7fb00f28d94ce6890336e867", "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "94dd0797904df022f687448cc429b6233df7be4b", "3be7c0dbeebd1cd218d8c4751b0deffd5900c349", "17d7579cd732dfb485ee59bb6b9ca56647c800c2", "3b2e6f8426de08a330ce15dbde8eaceadc7e7311", "c9e955cb9709f16faeb0c840f4dae92eb875450a", "32df0196c3135c7732c31561b50c343551fbcfe4", "46ecd7bbbb682abe153e469a5c8d4b0ef14b97d3", "3a7f3d38157bf90cfb429c57bdf51933a6d5aabc", "ac6f23544161c723567812f96a4cd71ed47041fc", "09718bf335b926907ded5cb4c94784fd20e5ccd8", "cb9921d5fc4ffa50be537332e111f03d74622442", "59f3f62fa3820f8f41a47d6e37b896c0f899457a", "2a628cc59bf229979ba4cb2530a7bea320aa3dc3", "9283fa7a8c8a0c746f4d437ca14f80fdffe0fc99", "9045987f12895bc51bffdf3f2518c1fd4c5c73ac", "879096084520c8a105c363c85d1d1d483805211f", "158de03729e0bf8fb04b2accaf5604d8b4878b56", "64a44e1d5cbefbb403811360a88f4d93e569ffbd", "3d72f837e52c4c69ba996e6b8313a7ab4212a077", "c5ed62f2b57e03d0a2e0cf13772b216ffad30c19", "0bf3513d18ec37efb1d2c7934a837dabafe9d091", "b42741dfc3a7f7d1d110978323e18fc71e2d67fe", "1ff0162ece14c2f05b925853aa1a1e8397e187d0", "78e00cfe5f0bd4bbb3d4111fa11de9e6dda17afc", "10bab1bea94e99444a363daa0d7439cc55d60782", "df8cea032bab81e2688490f1ac80f06afcdf0af6", "10760edf9718677c75f8814b487d08ae7cb120a7", "1f24cef78d1de5aa1eefaf344244dcd1972797e8", "555f75077a02f33a05841f9b63a1388ec5fbcba5", "2b300985a507533db3ec9bd38ade16a32345968e", "1e4c8ff205e6182b5c788f6b66d4d5b472470a55", "6f2bc1a4fbe3e00881b56c145a568264bd3c76f1", "91c25f3942e56cd387558b9c818aad3d0d865830", "8fed5ea3b69ea441a8b02f61473eafee25fb2374", "51173e0f31f362f3ea59ae3e98c5cdf31b2a2ec5", "181936e1842f4b5af85472b9809638e819d23d17", "e98dad1ab4eee90dd05b6db36498f021ee21b29b", "641f34deb3bdd123c6b6e7b917519c3e56010cb7", "6bc471c32d7eb452e9cc0fa975d55ec2e2c51cd0", "b30ba233313453e03ee5fc326ced0798bc4f3dad", "6abdeda10a4261ae2d91806d367f7eca19e44792", "6555b02c569b2565de31a1685141a07b20596f1d", "76dead9de33b9dec6edee3172c4d741265adf1a2", "035b7af000f1eb4c0bf825fedc4166ab31c3f8a3", "cd33b3ca8d7f00c1738c41b2071a3164ba42ea61", "6ca8af7d20cec9684a5dbf0bf55f60945e75967e", "0f23f650e8f0e2aff20e99f52fac0b2332fd22ac", "2e739499316989fb91d23e4c0b7166915899b964", "18252a69fbdcf6d6301cfc939da6decdbecc9fe1", "c12fe001f8d1e8781de5e6e59ff9836bc6da6fbd", "621e8882c41cdaf03a2c4a986a6404f0272ba511", "6139536e1eb5bdcb49a123e79e854937fd2b5c62", "47caa516511a111b9dfd04f0eae55c6568bddb6c", "8336789c905e9c40ab9cd2a82626c8b3d38974dd", "0365ea467c169134e858bb668a8e19bd251019e7", "56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac", "28d08891578788f4a6a5f50d61b83b1be83315dd", "eed90eab6e1743838bbff2b24997c0d14ded57e3", "8a3bb63925ac2cdf7f9ecf43f71d65e210416e17", "23cc74166f85c8392d5ab07eb2c1150bd4822a93", "516f8728ad1d4f9f2701a2b5385f8c8e71b9d356", "a8b913b76533f400c5db3d04810350f7840f6106", "ea20ebb611690e4ed191a6f497c79f6aa2864d90", "f22c9094bae238bfcf040e015f9b9b703a8d4bce", "58ec93d804ceec167963d7ca1f6955a652b331aa", "86b6de59f17187f6c238853810e01596d37f63cd", "5ff17b14004852c3a1f765593a6cbf420f90d4ef", "ac40a025e4a7bc158bd848c2ee03244646ca4e29", "e542f3ef5e54d48fea1bf135e9d38c1c1adede2b", "32732095eae3a33614cd6cef2a82e6189f5a28a9", "5599ac2cd569ed83ecab8449d2f245e13034da06", "1a9839698e29c9f80db0a2ea8c4568be4e1e84d8", "b9b1529b66441945b3d8c90414a6abe0a287277f", "166aa92160f73201b3656a57f192a10685e9e759", "586c75a0fc1de3a1ed0a83c95eaa689939951783", "79bc9e5f4f77a529d1410538698eda5f8585e478", "44c4b799010f3136f0e793db1a3cc972947b937d", "58538cc418bf41197fad4fc4ee2449b2daeb08b1", "a8e785333eda0b3041c7b331ee76164f563fba7d", "c0c98bca6cf04e5b19bd2363bdc2ee0ad0d63a75", "519b605d432449f7d46a3fad31320a8a5e6d2d23", "f7f19ac1c4e38c104045c306f5ddac6329193d8c", "cd8b6a831c0120a0f22befa500bdaf11eabd3439", "07380a57102582a831ddc2fcc352b42fef99c784", "7c9622ad1d8971cd74cc9e838753911fe27ccac4", "3a013cc66f47cf0051b4a844578727bd4ca4dc96", "9ab21955dd9b7a1ebe4ec05305de8c20b1d0c1e1", "42201e66a75a23f734c4f676d18a55d9358b6412", "ca43d33c14625a7a0f7b7839834d92e836bf9994", "204625ffb10f876c8a93a8029cb2df156b41f5d9", "8febd4b37e01ff8be6684239764abe26896fa801", "2a47fefbe459e468efdda27a68dda9704270cfb8", "99facca6fc50cc30f13b7b6dd49ace24bc94f702", "48327d758ff5da4c4f0e0d2689a5deabeecc5a64", "38f1d8d25c0332798e0929594af2c43092d2c5c8", "a35aae241bc535d65f587b3ea816619998f06646", "256ef291cd320d39163d3b438010256a3c40c40c", "607c7d6b7e7248734949bdc1eec6cb4df1525e4c", "62e0edcf5a2bab8163851ca1d6ce50d42c367660", "d9bc9c2a245c766e6049954a2da53ce78a1dad08", "68df1699cb9ec7b27ee2b13a1b93f4bac447a1bc", "1fab72a0699fcc6a7f82af14bc025fc48065fa8a", "2fe5bea76853da079512595fb8bdd74ef4ccf12f", "7644b3a0871b8e0e7e1cdf06099e295f1e5fbdf7", "585efe3c8efd1a4fa2ed8221c278997521668bc1", "cff69200ee436efde19e8a6141108a821c14e374", "c10870f23c9d464b40f8eb022987bab3ffb0b844", "63148c203340013ea70d32337a869cc7f10df023", "0b574f70d0965d66986bb9e89df693126652a4a6", "286cd0494f6d362e9fef7e720edac086caa53cb0", "0235b2d2ae306b7755483ac4f564044f46387648", "4344ba6e33faaa616d01248368e66799548ca48b", "86ae83ce79f05952bd4a5448e901e626b8ba1af4", "e644aa0562ecf015d4abf6ae5297ce127bc85921", "e87b59db55a69e452d3560e54561aedcb59a1b55", "0a799a72cffc71c2f3ed04205ae724c270f4a8eb", "93c56758d92ca862fb5facd55bc8025faabba054", "9afe065b7babf94e7d81a18ad32553306133815d", "089ed02309d0754e4c72f2c72e0a92752951d00b", "61b22b1016bf13aca8d2e57c4e5e004d423f4865", "fe2d4ec5f7cbb0a96c5dc63003fba0811f1ff769", "83c332971c4534907afc4865179c2de30f2792c4", "7b47ca13af16bdc1f4b88e9b68dd3ea52d959199", "f9ba89183d2523368a2b2b00084405e1a0e37f23", "c873b9a7c61d4157a96a98025967cd09472e567c", "5ebb247963d2d898d420f1f4a2486102a9d05aa9", "80d42f74ee9bf03f3790c8d0f5a307deffe0b3b7", "17b170920b34f21a59917ddea7bcb5e5848c642b", "6c0048265758442d1620c2a239590d0d9060c09d", "e5d41bf4554831c204a999f5b5223fb51cc4aca4", "51b70582fb0d536d4a235f91bf6ad382f29e2601", "0f96d5e621ba6a843a28e303d8bf4a669d8f2052", "cbfcd1ec8aa30e31faf205c73d350d447704afee", "b430871ec2a19e1beddec33fa79d04d07b5b4a34", "3813a77005fcc87e1a65c272c9c7a9a87c80c000", "9d0ceae3747467488ba914cb2ca5b30ac3032286", "59ec9bef0d331444db7d763960095213eecb3b20", "052b35b3b3e8f1a8689a2e3e5c67ab08de094cfe", "c59b13adfb853c7a6355f2538176f8279604ab07", "beb4a5d17bd84fa5607a5567bdc1891ff6ce2bf8", "5a3092b266ddf97ac9dc9a07a0ae7c40b54470cd", "0c5c3f577ef559ed253ae6251999db16942c7e4f", "a6e670f5dee62e041d1da9bb4f3e1097055f1535", "c15fb21410e91cc3663f6800a3baaf737171a27d", "9b000ccc04a2605f6aab867097ebf7001a52b459", "21959bc56a160ebd450606867dce1462a913afab", "a3b183d041f8f3e90a2cf904eaab544070216367", "121b0f7122a8c9148bd175c7e6921498cfe910b0", "3560b01dc95906f18dc8f79ff0502a562e7a928f", "b824cdb86ed0b5c43d46a9811c170a661b4646e9", "926bb8d48fd8ddd8bea84edd15bce3b1e23ee499", "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "96625e9db95ede3c2ec507ada1650c3a7deb2814", "09e64d9e0654fe5d472ef73b479364d31ab362f6", "bca39960ba46dc3193defe0b286ee0bea4424041", "aa5a78afb6e66f95a72b97a01ed1564de9669ccb", "4dceeb9ab9f53715abacdb8dc7dc77e64be0e295", "4beaad1e490d42dc4669fd8715ab819394839aaf", "7e90e316819f220aa728dc1ddf73cf1d90e0af33", "5524131a5849a4cbf029714a7d3c61b353d63fb4", "8a05d0a98570be20bccd106602f3e981d9b05334", "bd64740d5e9848737c73f799b09916e9637b9a06", "358cfdacd8b3f946a88690e934e6844fca6c2994", "52fada1aac0678c4d880c84c0155882ab502b1e9", "a30c4e49057dd66b653297023cc28054f3905491", "c62b877c4dfa861e47e5a34e443a57599aca4e08", "871bb9f0e9bed6ea0c3b468a39999cedfbc7580c", "777644a70a243349f3e8950578c69891b7fc1df1", "c7f752eea91bf5495a4f6e6a67f14800ec246d08", "a88e796bbed528f17c812eeb3fc6e32126ae4f53", "f7ec90a8a2f24f82d260d10f986249e9d1523dc3", "6de676f420c4fdc3b674fd847c4d86bd396c31d3", "8746db1ddf564856f01555380903499553c03a4a", "7e8870d626d8ff3a2d8bc970390a7b130acfcb99", "1fbccb842cf34697c98532d69b044463985f90ee", "d826c91f5ab4281742cf4f603e20192368dab9c6", "394fef15f21f4747d38878f623dc300274c5ef1b", "ca23c473becf0048ef294f7c25e579d7095cb27d", "6d1c5cfb2e6827c768ca29fd76c2d37ca8b99a6d", "01f0bfa8c743524b31dc5d0edfb0d700311ee292", "8959e0e9a24c0fe79f3fd3acca9d139edc0abcfd", "6d85d689be43f6391f6c585638a22f442519382e", "1719ead0abb2cf28b4e8c261a0b22fa6ea76dbf5", "410ee60056d93ad73651984a8ef13c36a0ff18cd", "b41aab61281536351711ab6228ec4009aad17d64", "9887ab220254859ffc7354d5189083a87c9bca6e", "df8684817ada3d604c98f12b6b22512b2e29a6cd", "9fc37eccb3d12329f208cb7d3a509024e182a100", "96e626c8d03ff83b10adb45901e2e7fe247f2cd4", "a8ddc84b2efc65810ac9081935e688c4a155bc8c", "40772fee5a87ee525d6f3178bac489ce9abda97c", "af0358a3f4e147b378efead6b9bae0575e0e8e97", "157eb982da8fe1da4c9e07b4d89f2e806ae4ceb6", "27708a9d83d4a056b30a98f7b72f391fe2899f90", "bdcdfe3c0ee4c93b583ccdb9be5e83583b4fc178", "65d63caaef6ad6a4863453f97652782229455606", "8a5fa04b749baf69a1b58dc768b2b4d9f2c038ff", "b7870a68ea9d9d433608ee66cc532bd78e171b8a", "746180ae6f60df48992db104dac452dc079736c5", "0b5bd3ce90bf732801642b9f55a781e7de7fdde0", "4223666d1b0b1a60c74b14c2980069905088edc6", "284d9c3702b8820e2bd89b1c96532f12b3afb336", "a045a138792e92e7e7e3c9c6735e9a21f2bfef15", "ed023651e31cdbcaa5ef2ee1d71ddbc2906c2f76", "6908d18545b0dd526a179929c1138be62edfe9e4", "16a766076d61dac7c1b72cf729319edbf582e31a", "8a25899de6aebcee2e1e2c54d38dff9188434c2b", "65a33b8e01130aebd2359c32ee6b635cd60f02c5", "3e4f90f3d5f489660799f0a1eba56c29ccc2f4b3", "2542a1e7b005d5fe6b60aed0c4927e8b87d4b14e", "eeaeca3a601d65d2d978bf3da43ab42fa5e08ed2", "532d6721e9f8f9514e090419d46d98fadd0fabb1", "0d71eb0105d23e782c98217dbba1fb659770938a", "3fbe4a46b94cdacbf076a66da7ea7e6546e96025", "188df7ecd5ee40d728db03e5b4728b62ea8605fb", "7568f26230942351884793085d650353a83b83e3", "37838a832838ff3211b358bc51ba5105b9d82e89", "a8e75978a5335fd3deb04572bb6ca43dbfad4738", "74effe72d0f92909a92a5cc20ee28f09c862cf7d", "b1e07e1b813e7cab3b0dc43455a56dfe93690a3e", "4ea63435d7b58d41a5cbcdd34812201f302ca061", "4bc55ffc2f53801267ca1767028515be6e84f551", "f4399a244d9675fb0434cbc6911886e8ecabda5a", "4e2e22724ffa2e0f9a5dc8c6a6c44ebd8b263148", "2f06446a2174c30a21031f6d5472b87bf56bdd6d", "e0081394bf477e8b233e06dfc0a706c1256eff7f", "8765f312e35bba0650aa769b59da7e8fac9e98aa", "b989e046b57da0c14296cccf5f7d265edfcab4aa", "312ab9bfadba23663f701ef5c3805ebd90c0a59b", "571ef7cc172b265d912a099c14a00887790aeee5", "23aba7b878544004b5dfa64f649697d9f082b0cf", "04fcc44647e867917c22375e0ade3276d873fd14", "d41e35bb3072518019bd1839a5492fca02b13cc1", "013eb535ed8ca00cd47ba50b475429c2d7316ceb", "782ddac9ea1b378bc72adf7c31f67f3f7c6f8d25", "b74fa93833b4bc14a0d241c1f0865b7de73ade4c", "1b917e0383ba8b6236ebebd8b20d6e0fca2fac40", "7043061af1a96f866dca2427bbc588fd3967cdd0", "90bc5091918e4b4b54dd10ef77c8628da75bb5f0", "576d0fea5a1ae9ce22996e726787c49023fc7522", "ffcf239395eed1ee124187d7ab38a2bc4909bb93", "c1a16ee838d977160821951e7264af4b2e7c8265", "42fff5b37006009c2dbfab63c0375c7c7d7d8ee3", "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "2116b13eb3af418ef02502715e8f3c98664e699a", "f789bdf00efb74b376fa9050f7ae0ef7ee29594a", "8db9188e5137e167bffb3ee974732c1fe5f7a7dc", "0fae5d9d2764a8d6ea691b9835d497dd680bbccd", "7cbf3ff040ce3d68d530fcddccf56788fa9b7a53", "3e51d634faacf58e7903750f17111d0d172a0bf1", "aa591e478728f383337916ce4fabcc3f90cb58f0", "33a4744818b2847d7d3650bd547932cdcddc2f04", "2094af31f36c691551d27ce3d82eaca7517b7214", "355b26b7e9ca064ac474f4bb05f738ab11139b3c", "0ab55cacf597b25ca649ded6ee5c05a76fb437bc", "305cfba1e9be3f0bef1f0474a6fa86f76462087e", "42f9ad17169fd0dfaecddf15a0e2f939efbfbd58", "982b86f58f33fe27edc03bbde5a419e242c99998", "c980443ca996402de4b5e5424f872acda0368831", "8596c93780c550f12eb1e3737e0cf8bf7f85456f", "b4646d7d46a4532281f404d6bd05cd280b4a90c0", "8248cfa89b67b69d8f9d0fd27fe0feffa22e939a", "4bb687247d76834f6a16002f5e78244f5fa9370c", "fbfdad055b3996a50ee6da680def914c63e45e44", "9d5bfaf6191484022a6731ce13ac1b866d21ad18", "72a81c18d6ea427a87a27871d5ca011821f5048c", "6b8febe3e726fb42530e8f9d27b412d00163d045", "fa9b58f2273dae80268afe58052023c9529f97a5", "695733af422d3cea7ae8ab4468fe2f741cda46c8", "3a824616c851b15381330f4f3aeba05054f36a9e", "0f04cfd5cc85fd82f98eb9f16128d67410e21c18", "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "19be0940e0cec7d990f388f03bb5374e240feccd", "0ecdbaf1d77b9c0f16c1d52210011415f7c6396f", "b00d87ca1398fe8df674292740f87dfa1fdd5802", "0bc7b12b4eb5890e5e9fb45db2c7a801980441cb", "7d91e32ee2ebaedcf680d19187eed6604cb5cbc9", "2f5b51af8053cf82ab52bbfd46b56999222ec21c", "4ff9d14631b46f75fcea833fc0ed8ff2ef3ea855", "2b55dcb7383348411e519c21e7ae639561984548", "3d143cfab13ecd9c485f19d988242e7240660c86", "8b0af7d056e7e8a5ef2bf1278fa0740771e23401", "b2c3cb4d85bb5da9d99656c8f71fba4c552f1326", "d91dcf3e0b381e1a4705d753cbc2a2b64d85ff62", "076f2dca12b3e85c282fc678f0d22ad6a3e6dc14", "19322e9334a833f68d3cab078e8346364d4c4566", "bc9565725be015135142305305a1c85fd54d99f8", "d5eac8636db83a1af680ce54d5c8272317edd63b", "4cf74211e635c73ca5816199ef33d10c3462beae", "d5f289142cb4c8aa3dafa6da9f3d0212881af491", "c11de1b8b46729f0c055d957b55f6801dbf03048", "4dc8814e44dbd2b02f61fcdaec48d053a6f97537", "4fb9f05dc03eb4983d8f9a815745bb47970f1b93", "46f32991ebb6235509a6d297928947a8c483f29e", "a996492cad4ee17945f6b8ba06ae87cf38223242", "294eef6848403520016bb2c93bfb71b3c75c73fa", "42f258d271425b0f87af50f30d10c8fc74354c26", "5a06b8ddb91bcf0d7d1f678584532314acff5b77", "6cd96f2b63c6b6f33f15c0ea366e6003f512a951", "539f55c0e2501c1d86791c8b54b225d9b3187b9c", "3b9a2f0fd429016b531ed398017da029fe5154da", "b606f64a792d6055e45d0a854b9fffbc857a393d", "7e5316031b08b8855e0d3e089b7b412ef3ba425f", "c8c035ff19fdea2b8053d781b999356110a43ff5", "7ead08b98488f2cbce655e26689e9867ae4e9b0d", "71ccb8bbb5f5cf30f14a3065c69e24218fc9502c", "683ec608442617d11200cfbcd816e86ce9ec0899", "4967b0acc50995aa4b28e576c404dc85fefb0601", "23f93b27908a233f920aa1e652982da367822067", "28226aedf1972af2008509cf3d1e7c6646c77f7b", "88bbedf7f6f0dcc830640c521acece28e67be356", "0a89de163c74bf76b929382cd3cd506547c1642e", "b6dea361ec38d0c48dd9e1e143e0537f49d9e73c", "341633ccce0f8c055dfc633765d905c269e28f82", "884a9ce87d4d2338cb97bf4c8df3cdb079a87d5e", "7de8a8b437ec7a18e395be9bf7c8f2d502025cc6", "b24114325299b30a5dd7c526334d65a5dc21e5ae", "af9cc4ef2a582243594c7da53b1a090364b9f678", "4e37cd250130c6fd60e066f0c8efb3cbb778c421", "234082729adfd043712dab007a05f01a170187d2", "4675f2ef941be7eec5111d521b087981118efb1a", "e62ad5105b7b74e2a67ed07a7486f144c4c77564", "d318347969fcba50985047a669d3fae82a157a91", "419a6fca4c8d73a1e43003edc3f6b610174c41d2", "f28c5a652ddf5985befa74ffcaa97b1bf301c1ed", "ad6c7cc5c0f4ab273fef105ff3761d2c08609a20", "10f4bbf87a44bab3d79e330e486c897e95f5f33f", "3ea79a2158151c666bbf696eba7a5edb5b284974", "d5053b0a1e1a27e4c93eeac69232e9c2f43bc646", "8d53a331b722bc9add4add1571c8ff9f66ce2123", "65236351f6e0c4ee02e0effd575b7b9c93e2bb79", "3cd4f0356d871610870ea94c25945744fde80139", "fa2fff0b933388352841b52f74f9469a41b1ca64", "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "59cee3d54dca04207f57b19c3d1a31402a75c3c3", "55fd4639c2126de5ad69d23b8a6e670a05911b9d", "f4b99820202f4b9fb1cbdc77c25eb446f085d6c2", "c9d5d8d30bee2a727ee2deaa38020c3a867d24d7", "1742e6c347037d5d4ccbdf5c7a27dfbf0afedb91", "8216b3b812c94f6cb48ae970a46cd18d845cd19c", "9aba8c4a9de4e9d8cbae0d2016500f1a5d47170c", "2a99cd2e9fd5f6b5c6badb6a813db730d4570e47", "6d18f7657b0df2155d5171af8653e840537d789b", "80cd0622d4fce8370de19c2706a5f98226f22cf1", "ad9ecacca5c28b098096ad0cbd81fe84405924e3", "0b3f0c26171d1d899fa64f380ffd714bc6e700cd", "17d5e5c9a9ee4cf85dfbb9d9322968a6329c3735", "06ec0e1d2c4a27d22f36019b7049765d9ccfc5e6", "023decb4c56f2e97d345593e4f7b89b667a6763d", "55ecf12976d0dfff50122ef87b88bd4ae1241305", "9d91d12f108eda42b9fa7427617f76ea4676ad15", "bd5dceecf4a68575057e9032e346d3190134575d", "befc6e69cc611aab94ca8217424c83f467605dce", "db68105a787d7ef60ebb5bb4cfce151d47748123", "e04d4d69ca0b3772096a6f47ca4dbac0b3ec5521", "8c09403636275797535fc2b4db9a3a3d66aa0dc0", "9b3952412ec2370a1b7f723378b26c37aaafe8a6", "1d0dc5f4c63a8f7fbac3cf8976132e7c8a16ccb7", "10156890bc53cb6be97bd144a68fde693bf13612", "99c1302fcba313339ae87be3bc3ace90ea290a69", "5b14abbea83270282ef94fcf3f3a73e7d8fee023", "e621395091292a0fb55b8a9ca25461e36f0e2cf2", "7ccde3de8732d44b771f174b7149eac3a6959a6f", "fd7f23a63d12bb7ed8fce09b73fa5cdcfd64b53c", "2d68cac1bd2f18631051cfbd4a46b67be1a939fe", "38f56240c642677f2245aebe94fb846988487570", "9b63eb83ca12c16f9f5fbfb5532121af9a28d4b1", "078ff2806fa1f283833a0cde80681b5fc51142b5", "53941d88bd0daf576ce571df306a25007b76a1d1", "9135379aba96c7f4012232a016261048eb074e8e", "da8eb0d7666d481ba0d50a03067dbc1913131495", "7ec7080708b2c51c46d5e6d122f20b3e2d99a4f0", "4632cab5af714454355b5bfd1e99aec097afe91b", "ea12d29c3d55c6fe27f451911a7a662b32abf63e", "58a063b67e23e5535f823d52d9eaddcf8d11f179", "ab65f378ed60b85f09cc037962758b8cd74c8e73", "f07fc87ebee3d6644412cd14fe6dcdea7c7a9f26", "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "aca728cab26b95fbe04ec230b389878656d8af5b", "92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d", "9ff3d2581fc86859b56aaef4ef2e1009e8bbc272", "8d6dbbfb8f77981492f67664020076f0b200d2ee", "ecd10c99c033ab01d23447ec8026ac758fd99d0a", "7c0da0fe4d2f29b901d9edd74b2dc753e68abccd", "a318a791f207050366d6ffdec3ca609498812d67", "64f0af8f7a7861491b9c6a75feffe0abadf61b82", "7d18e9165312cf669b799aa1b883c6bbe95bf40e", "b8139046b781910ab257d945f54414ba73bc75dc", "2a4ead5b64980692ce6937b461b9f406d19b3e78", "480e415e733212b1a9344f155230cfe988190199", "0532cbcf616f27e5f6a4054f818d4992b99d201d", "766794580ddbb53f4e29f4912b8d373df7ba928b", "f37ee76a283db27fe65faf17d7b2900c5c0613b9", "ca3e88d87e1344d076c964ea89d91a75c417f5ee", "fed593e37a3f06619e5443c4124db0620d064c51", "e4b4f24dd57431cf1a79bd1f18f5085f2d1eb220", "244ed43a3b86d80f8bfd0ce852b3c2fcfb2d91cb", "3ddfa1e5e57c8f439796d092b3059075600198b1", "0165410c4878ab90e6e82d59e6416fa8e0d40518", "c0be23ae7f327f9415e583aee1936b9932c9b58b", "a129c30b176820bf7f4756b4b4efc92d2a83f190", "42ba8fed261e754b86d51e4f69e81f142f39fdf8", "dc8554b84d2ad7423a3b0339103488e76a591eb0", "a6c99f51f65c0cec6829db5b3be4942b78ce7e4c", "e4ba6b383cb00b9d5e315ceddc9bce6902b7b35a", "0ce3a786aed896d128f5efdf78733cc675970854", "16d6d9a71e82b3a53f7a577063f5a4e7cfc298b1", "3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f", "c1dc9dcd8e7f1e10b7da5addd222e5895a4485e1", "601f184fe6c5c382c0d56a423d640ad70ad3c88e", "59e3a1c0535de475ec06d637cd3d649241dce59e", "187110ea2bb38456b73fc50399bd7ce5f622702a", "81f7ab08c2b522dc49b402de467f485a51a63544", "7d09c226ab1890efa5286aac020cdbbf551312df", "3973a667588f1a47d7cd5829a7c0519aa732b873", "212950ddfd0fe7ef0b7725b7ef0e2a7c18dcca04", "dfe31177d3722f23433434808aa2d943d14a5157", "0313f71c856b0732d7e7b46755ca77eede77f2f7", "7c9a9a9679845530332e89f1647e390b3af7beaf", "e4b1048e37c7f862392864dc980cdd35202f197f", "00dfd28b91ef1e1bfa2e205dadaf23325b207751", "63d9b7d4b8044e0559631d4a991e6c2dffc87e4c", "3ef62bf524e310b0d4144c000bf76dc418d57157", "875c0171f83296b929b64c2f82f626250f6004ce", "15d57e7cbdb02e3e70c47a9a4016f5ca3cad569f", "26aed9ae723f59238904be6da0f766d6e64f5415", "2e64682caf77309db573ee439d988233f71e88ad", "bc449b54e4664c650ee2e5d40d1a35eb13033d3e", "f81cdc95c14819b9b234cc1c4cd79d02292cd572", "550a7ea61ca745a127b767b2267f237d5fcabd50", "050e51268b0fb03033428ac777ccfef2db752ab3", "4df922499ed5f3bb4c40b2ab2a9418de05135592", "7ac4fc169fffa8e962b9df94f61e2adf6bac8f97", "deaa2c335481da0af65a88fbacac548fae2f5705", "a4eddbaf04256aa35f8a72723ae8f3be9279b282", "6d2eed8d7a4dd2574a39bb0a497dc2cd1cae1bfc", "23b6f964f3e93fcade91cac639c76136f30c3054", "db3da1be27b591f4bb68fac369e132a66b26ac72", "96fda9a7396a4d61d91e927ce885d4a32d6f7f01", "552a2a8c921793dc0036e60b98590bdb40261998", "63e7c466326ab0aea0cc349b4bdafe0e59ab801d", "f1bc2574c907b2740a2653b82c3fab01ecd0e458", "62306db738cfddd39e1f12e22bce0f7615ce58b8", "2ed7d95588200c8c738c7dd61b8338538e04ea30", "2910fcd11fafee3f9339387929221f4fc1160973", "25c3068e7964d3b894916a82b1fa93c9d6792886", "1fdb84cd0ce04df3c4997059a5571e043dc32c8a", "74f643579949ccd566f2638b85374e7a6857a9fc", "ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c", "f9e22befa53647209c9f63f2dba7bc56fd3b6f08", "2f1ebbcc1ae5e2484cc82c8487243e5b4e6c5b81", "ac246edf1bdcb74bee9439b1faf4ea16ba403676", "ab9ee18797106dc5f1fc97b6f10456f75d81749d", "08c76a4cc6f402c37a050cae5390427a5b66a467", "d3565af8028c0ca486b452e55d0c577c34efb5a6", "75c4b284f13974fe8af906634bca05cae4feeb16", "69e62bf7678590b77c1518ce61df274c3ff62090", "f718ab6b96688e24bec4be15d66041ef24a94134", "6d5e12ee5d75d5f8c04a196dd94173f96dc8603f", "64da1bfef7db423f31ff92713fbbe1994ad4124d", "ac7c643794b9f55309f0d2041b12ae7bf845a52d", "d0e1ad4f3f608124cd3efc2d5bd01b421ffc3274", "6f3da2bbba474d872d9a863191824cbc3b3f75c3", "7239ffd42e64bf63bffd55f4d01d57e3890f5e8f", "24b637c98b22cd932f74acfeecdb50533abea9ae", "e08038b14165536c52ffe950d90d0f43be9c8f15", "74d673bc32d8def7765de2c135a029f77dfdfb6e", "0831a511435fd7d21e0cceddb4a532c35700a622", "59cb6df1efe0d63b20f3e976c308e99334b9c363", "4ac4404957de150ae9d18d8bddbc8df1b23415ad", "40492c5e4e7b790554c9a990549e01808127f625", "8bbafa3efb7b96adb95128ea2a30a363bfe06812", "52d8dda2740d11642b900478c421877c07c9044c", "5c19c4c6a663fe185a739a5f50cef6a12a4635a1", "c6e96644d61805c3451505ea5a9ba3a62e8b516f", "a3d747a72803de5200c39f88a2b7fd300474f89b", "33595d1135d9eecbda62bc568d2545aa3161276d", "8c9466b5a101f7b671d347da5098e387bb85e3c4", "c0e5ebcfa7fd20fa688e6623fdd0dfd5eefc2fad", "919cb6160db66a8fe0b84cb7f171aded48a13632", "f180cb7111e9a6ba7cfe0b251c0c35daaef4f517", "1b67053c682dcbc9dc368de89fff32f787320a96", "58cb1414095f5eb6a8c6843326a6653403a0ee17", "2ca8febbbf1dcf4bedb31f4d8ed599858b1e8a65", "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "5699bf68862dd098ebe78476325ae7c5a54145c9", "55019941e34fba802b7ffb5b27fcdc00887334fd", "4acadf133d82d91e2186c0ccf73852de9901e555", "04dd157af1cb4701404d6afa14cccba495b21399", "6dd0597f8513dc100cd0bc1b493768cde45098a9", "b3f96035651100b361e8c6d13e1f2022b406e196", "045b45adbcb83a34d087c917b79274858a878937", "6801c8ea1fcb2f76799234a9a81c6199dd61b24c", "311bf799c476e3ae8382d8492f61bb979e6593fc", "91ab27348b02d1a241f9f4778695d1bc26f55abe", "5f7fd05f09dd6433cb273a1d33bdf75873509983", "0108504305468275985da608b77dbbbe4aee34c7", "58d821874f48c3ce748b523f7defdfb72a608392", "42bb241681c4bec1fa36211a204fa0dc8158e5ff", "3d82f99a994a9702520aeac6bcfbe1aabb2dcf78", "781e54b5ac35e21f30f5d1915103d7682b8d18fb", "d73a0c3db0b347bc6f3796eb89d1342bf9ccee9b", "8455f7e992596fbb39212897a9421c9005949f76", "916dd8e8f5e7b661dfc69042160626136f1a23bb", "816c1925de9e8557fa70ec67d0ff71a5059eb931", "148a5fa66480afa7744409cde659f79c7c9b3fdc", "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "5edfa28559c054b23acc43ce0f975a04ae27b331", "f17bc1c74a381f06d607f2ec6a06b10dd692d01f", "bf6a7250119f5c09c1a34f4d56f50399b061f3c8", "35570297681daa3973498eabead361d0be961672", "0ca35af582b95fbab3829f98308d104359c3b632", "4669b079c3ca15aba08130c36ead597014f7341a", "60093318820f49b5a105352a6b8512d1601af153", "1609cab807f391fe744f089aefb647e482dc33a0", "38227805c37b00ee9fc5e165bd4ad926f3d94ca7", "6dc17e91c0b02ff3b9e5c9283924279c28641db7", "737649d6ce286b69df14c90635cda19a5a014139", "ef14393a9b6da680390461901f8be949e101a88c", "0827fa5586227437df34d63a8c49f5bc8ba077dc", "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "c61cfd298fcd38cad92b6962309e5fd66f576209", "3f95a5146d97480388b2f8d4ae189e4f7374e715", "f0ae665f5b4a9314c77dc9ec285a335ee6ecc15b", "b75d4b08a5e4fd33e6a29c2e8fa64b6954a95165", "08847df8ea5b22c6a2d6d75352ef6270f53611de", "997fea9df7057cd342299e90c1c6e6e9f1cc5a88", "e2edc7e7a2832e2f6014945afce4f76643cab02c", "d88ac8d78f4030de81e4be1ef5048072e6dac2cd", "9b555d8c8f518d907fa273d8691b008d55aedd92", "4d36d147297767cbe698436d77c0b93b1b47535c", "2e222383bd75d3c3961ac073e8aabd3557946601", "87c0f3408ac4411b615756f6c854177c440f0b2f", "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "26c9e57116061594ef843141a6a8bc49759f766c", "c7e7f6dd94576b7072b805d6b2db0529c31a78fb", "eea931e63c523599ba75524938a0be9ea36e9c2b", "e328038ca6e0c7bfc1bb6ce72931cfc5d3f65427", "7fc2979d8efa6cf5af0c66ca2556a83d434690d0", "fa1f4f34cf4502ede6257305ed8e6c808b6b3643", "2805daf3795e4e153d79dbecfe88b830ddc068d3", "267417efe1bf98ae904ad3970cb5742ec705082a", "18f7fe72fcefee11082534f4bd254d67e433a2bd", "1b612877c4fb6fb7faf395357cd8092e5ec5dae7", "16fadde3e68bba301f9829b3f99157191106bd0f", "4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8", "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "5cebc83001ea0737cc46360850fd294327c82013", "3aa1b9194fa2b89f647caf2f222c1cee7009bbec", "3fe4109ded039ac9d58eb9f5baa5327af30ad8b6", "06e959c88dcce05847a395dc404725dd0488003d", "a03887f0a82f498f57aec666d7e6a9505f0edec5", "fd8b1715ad34858bf8650ac549c4249d86edbb7c", "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "a3f1db123ce1818971a57330d82901683d7c2b67", "f4557028562003c13eeca41b175dd4f4a03659bd", "16283efecc7332e363c9419d7129bbd5d95cbf4d", "5806ff24d62e868b73312f704e7ad8d74eecfbc0", "45a6add58dcb5587f607b8eedd92078560c313c5", "4631f58f5a1ecdfb1b0ab833c3c22f2c05c576ff", "0c1d5801f2b86afa969524dc74708a78450300d9", "1792f5304fc9999a2981e45874f0d6ae3588b4bb", "99273db59af7927c5f4bd0df2e424ed7ab655857", "f1278b44acc73b41c2993574392047f8d10e997f", "a3ab3385a634dc6022dca37e65494081b908f41f", "251281d9cbd207038efbde0515f4077541967239", "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "943dabe57f65d9b7af589a4e4db6354db89ed414", "f66bc143d85d2b1d9aafec20f598a21d2b90b0c0", "534f41985a7350261a03b8c0dc54e218115dc4a5", "15ec39729aa70d75699886150fc0e927278c8ade", "c0d10e4424a1b5e27a84874d140e922a829ea9a7", "6fa39c0221c8bcae9146d31646cd9f70aba7190c", "397fffa6f785762acb3cd3c96c4c6b65058b816f", "6daf590f25f0a0e02c46b4d0d89df0eafbe23d06", "8d4f12ed7b5a0eb3aa55c10154d9f1197a0d84f3", "2cef1515ac1d98f1dcfdc9b84c1a3b6f3758b9d1", "5012a2408b4df939dff96f77c456747eb15e967a", "29dbb9492292b574f7bfd8629d6801d3136887b7", "2534997443c7e183c9f8e370ea1e82989ecc940d", "31e1d021bd06054bbfcd915794e84448ae681000", "575134b3d99ffde52f238b82b74d6ca3fc5ba08d", "c660f261615f4a0185fda548b0ffb0e997a918ea", "02a99a43670ab83e77de9d935eb8d3d164e1972c", "aea6ee66bb58bed475a7b4f8266210e3f49be3c5", "86131422d485a09b12f40de30457683296f1d1c0", "0edafa576c8c89035db8ad24a8a1af5d457b746b", "5864688d1af1c139c567f323b5056b2ded994b3e", "199aabb19ea78576a74d573739a7f35cf04fac6e", "bc1fa3efa43dfb79f6f8243d29327c8ee06e8a97", "1a5340212809bbbce6e0d61720209179dcaa8a26", "01e5eb25e262afa4289d39b964c837a22a32f5a2", "a90193d1dc557abe386c0836fb3f16642702df7a", "498b7c42b8f9add7c83920c49a4e9d2fef3a514a", "e1d1ed79174cd8442409bcb3f296101852ddcb95", "6049a381a0b79a90344306a885f118b47936ac9f", "21cfe8372be299be84818b4bcbe07fa6736540b6", "7ff1c04c210d1c0eea7b7c341ec9891e082b0c2b", "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "26dacf88181021939c09ffb3529ffd2854fc7ee6", "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "4ea759e13b0991772c61a4ede058d59d5e33a71b", "71ab6a9bdc852b75e12f6ce6ce68c1083475e627", "7dba0e39bb059103e10fb81bce2fe831f520fb38", "4949241e61243b8998835a48548a45473f41c27d", "e41e1e4d9e578c29bf648e7098c466935b50f1a9", "0a7d081df9da6562a0c5459cb561f5bea0399f58", "43734a8321c4b279a6e5bed9f87c849ddd38068b", "39971d444d54fd9569692f1a03f94d847161dbf7", "38dd4782fabeb13bf6ec57a0fa5749d701d74152", "39a2cdee78bd671a4ef203aa703e05232840ad83", "2251a1efad0cef802fd64fc79cc1b7007b64f425", "3bb724ee496100e12087ced6564198d63d843259", "1712178708eb74770af9fcce854dfe21af9d56fc", "ad5d2146a629b786712eb21d4dbfa31394ca07b4", "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "011d461718c39c9d196cb84b2e881c1660ef8f55", "e49e408c67067e4e001adf285cbaadf9be5c1b79", "4f606761ce65399ef4ff24cd503ec09cf53562e9", "86a84b3a61f67f59c5bc5545bc88296e46681ca5", "b0158b26f01d5fa18aac51ece055cad9a12f6d87", "954e5ecd158a38c03a38232dbdbae37dff6dda66", "c930f860b783f811814feb3cf5905287a62f8050", "b33fb5158af1671d65bd927595c56c52e24e4f11", "795bd86fc22ec544e7cd9b3d3c2ccabe72de54ec", "16aec3ee9a97162b85b1d51c3c5ce73a472e74b8", "92f8626d4b2a5e8eb08bc7774eabb65e9cf616da", "6f37b6da734c2a13d2860bc5a23e809148b39bd7", "10559503926fe22dbb382c31541b0eee5c2cebd8", "d675a54dd5e353f99a1bec3b2ddab925a6563653", "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "6feea436272077e5c5da2bfc55b4ea5d9d1a5dfc", "e48432872be1e0449f50c6807b274d57c87a641f", "810cb5228315ac027bb8fbca94f6f8faa6ff8016", "36d76954bcb4f381f3590598d5f00bb842ffddf7", "1a7243913d9b8c6855b1eb3bb6566f2f1041d50a", "35b9ded80ce2b30ee115b8198d146890b9028d51", "0dfb47e206c762d2f4caeb99fd9019ade78c2c98", "0f7bf963a06682d69387c54632cec9e835423617", "95debf4c4f88d48a71bae9bfea4032355805aa2f", "33cd316d23f691fa324b651154b01100542c4e71", "2fe2ea6e0bd939b3c2877d1fa6444b81d9940c35", "2954deae38c40a244f6a9c0714987d786c69db7c", "828dfdb73b6fc92952ca88edb8162d430e6cd995", "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "7b70ba9f7b3868371677816e6c9b5022f4976f57", "ebde14a5d0137e970bfea350eb0ccc7d4eec2394", "26919156cec1cc5bec03f63f566c934b55b682cd", "f37655c1a367e68fee926feb66b29af5be58a45a", "0141c695e4cf87cc58e0d552004bcb53258c4915", "beb9cecc5ee89dfe6307cd3964743b1088c65082", "03270297b85b4a5a0d3468767ece17446c97df1d", "aa7c72f874951ff7ca3769439f2f39b7cfd4b202", "118c8bcbf52fbe15b38b67ef3f30839aa7faf2f4", "39d6d71aec74a9a810239f04db2f8854d2f966eb", "a107250d3568e5ac7a7504f04b1154da8e9892ba", "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "b5b63c7b9ded97da404c404be0a47c3fd91fc477", "0ee91554aedcb2cc4e2d2a15eb07eed1bbbac2c2", "61847a342471d9482129bc2d6e0c79089f331040", "7d1d282db00de79c6bfcc409c483cbc6a4582626", "e1846cf49132cae0edf24ddbe281d470b67e8a14", "0c6eff59e210c3af9865207302199412f3f91914", "672982134f8a2c6143ad3179354f39ecc3ff798d", "d2d5d61dfdae1c6492d15eae5f0f37f460ba4030", "0206ebe8a7d587548ce8f4507ab919c43a369014", "481fde422a31e21ac12644e0df95cf66528f52c2", "2af9ee8ee3ab4a89ae0098a1f9caa1aa9dad4e8a", "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "b7291fe7fb5480059bf56bf71c5bd54600080752", "821702d8c32176ab03fb39b2a60a6293a06d620f", "86f17e74b905c8251223caf9b4e99784264c6252", "db480f100004e3ef075f9404041fe4f89fcf4e0c", "d040a7fb0a0c904fc4a759c39e9705e8604ddd98", "deae19c928571d3c1101660b0d643d7a7ee893b2", "ea481ceaf3ad8bef871a9efdddb27c345e0c3b4e", "77d51bea8f2511d2b039a6da3f5319857d6c7ee9", "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "098a0bd7c948e9c94704ac5e8c768c8d430e1842", "ad500c69ab1b228868d47315340c3d7fac5dc175", "272ac22c670fd0c7c3f1b4ca02e925ff22dd4b27", "abc5ee7fc8129c82fde8d151408042e4673762f6", "1dc4b5e93233fc632b070c8ff282ef0fe9141f64", "8a65a86ca07dba867b6435819239f96a6d825bf7", "3a92a00b41dc6217f7685148c8a378524fa1a542", "b03f81c0461e649124ce5b88b44786bb1f8d24e0", "2ac986ec18c3572ee4f922ba9a90ae374563491c", "d3cc9c370be5f28ce2eb06312df64a8a5a40feb5", "e33b5e91eb12ee3d7a5d134669994cbde6673df9", "188d823521b7d00abd6876f87509938dddfa64cf", "235f8e797bc10561ecd684023d2c980d990ea217", "171585599fcc0cb2c2c190a3ff395c2f5bd331dc", "c3a20a5b67e478529a020dd1749fc52a2812f45b", "32510e7f88bc0767fbbc811397ba068dbc4cf549", "4b39b981133a91052956cc42d2967f349a95cd89", "782fb036d3bedcaa068610d17a365bdf6c5b1378", "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37", "6ebfec00388b6975c8c38aed1ebe006eae79bcfe", "6a0279c043eadaa09b5b486593c0f2f4f68adeb0", "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "90e55d06f0c0234712bb133df05a24ccfe7fc87c", "bc4627e1bc3bbe21c46c4011ec4f9bd377ec83a4", "d055f36e7975fa5b7785575dd64b5f95b9088465", "3fbff11afa17f4c6f13f52a944ff9588be52ae41", "47dfddafed43bc5afef93ac90ea3376a02046151", "a71e3cf566de457336aab9dd6a5f5d6282b4a6af", "7797e267972c98ba1fe38c019b689f8b77d5dc88", "66be409861ae97fecb6c70ef160504574bba6dd7", "2236294e803316c5934fa387f27d128fa7819a03", "4bd09fc152d680dbd3027ca14deea290f7bdec36", "b5817dc821447546c47bc549cf6676f5da78f570", "b2c46084d4cdaf407a43d3a2c213b9b1a1678206", "0c4d99f49654fe04a8e229a20a6e0e0f0d81337b", "ab36110a9c443d32306631ee2fd37abfa64bc1cd", "a8fa12c662447903fbb751eaa967f861ea33abff", "6e69de19576ea2dfa4cb84a450ce18eccd183a95", "657bc02d1522eaa89c05e60ec8c5614b0574843f", "ec3472acc24fe5ef9eb07a31697f2cd446c8facc", "233913367b5006277b04a8f7651f51425f13697e", "33f885a7e1369128534aa5f3b867bd42de9ec683", "d5c8e530685c6496ca9513790416b2ed61e5f6b6", "95191c16bd1f3b50cf41adf92f8a8bd882270b74", "076f4d9713acd7188a13186ac857124ef44f466d", "1e768d4f8114969070dc2b8864c44ccbf7ca042f", "0496d10bcdd29395846d05c2de711db62be10630", "413e3b68cb2cf3f7ed51b95552c0b5b4bb762451", "1d35391869824040a081de1f35ba56afa35698b9", "f08f909eb07b3fe986510901e1234436c584fbb4", "cb522961fae4cfeedcce8d0e3cf4cdfc8fe2b701", "7c15b34c156bc1fea2749820ff4e5f5f54b355cc", "4803b306597de49bbc8bf1a1d191063c2d2c9ebe", "9c54c038664ec0c167211e9855a2275a97101708", "d1e1c489ffe0331313e9c626a971bbaacc633774", "7b1af8cc9c2c43fa9d528bcfb05142d714df3700", "1209fa3c61fb5cdb18d1afa55d64f155398827f5", "360f8874e42894af71ede97cd153853e09238350", "dba552e2c43d0de1c7d33b4c2c84dedbab71aada", "1e2cfa23aa2a9981bdc7f8f007121de541c387a7", "ef48f1d8ec88dabbf7253cb1c8a224cb95f604af", "209df2d7724bc6defe87618b502e1d7c800a819f", "6911686f00c99c51c21f057c45d561c88027f676", "b017f588d281bce0a92043ea47ed4cec5db3ff33", "2e1ff08fb5790e3b5ba7864408628467795a9df4", "6c0f9acd62ca9f156ca632dad6d666209eae461e", "83af9d8242c5779c97d02a0a0351991e9bec89b2", "d984b580e02da76cd4d991953e6d430fadf3d578", "2830fb5282de23d7784b4b4bc37065d27839a412", "3b3e980a5eb1b838fd8f56c0276d311635537a8e", "af58701bdd28a49d234ba87d8f1b90d1f001184e", "286ea63b1b5df1b8b67718f25b47357ec3168e97", "15ec1faddbd61a9d50925c7b9b0c76642abe94e7", "9b9f3ec91e8ba185b0c7fd7545b0721e0cba9ba7", "cc3ef62b4a7eb6c4e45302deb89df2e547b6efcc", "3d0eaa64bd321cfbee9d0426ead5e41324707ecf", "d95acbbb63eedefd16f6c76c33ddf598348d039c", "eb0e0a40372db32d30ceaefad046b213fac977f4", "6d1cfdb82122cefbc0f27ee7a02d6a22483d6a05", "d79de82207d251ce411acb620a0c44a7ae71f5a5", "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "eb7d5e71716f6e3eec281da7d5c1d987238be8b2", "4f0b641860d90dfa4c185670bf636149a2b2b717", "40bb090a4e303f11168dce33ed992f51afe02ff7", "d7cbedbee06293e78661335c7dd9059c70143a28", "84c7d3b1d407e0d435a08574a3f82ecacf7841b6", "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "6f2b36cadf3dd1648b709e9b4f4c19ffa1939ed1", "be5b455abd379240460d022a0e246615b0b86c14", "0b4901e6724e533f6d5d2510e1c0199eea898c81", "8a56adc9605a894c513537f1a2c8d9459573c0a8", "b5f2846a506fc417e7da43f6a7679146d99c5e96", "3e0377af0087b9b836bf6d95bc1c7085dfde4897", "062d0813815c2b9864cd9bb4f5a1dc2c580e0d90", "2e927d0a2dc4b69fc03124ad876329b22a61f1b0", "cf92b8fe6c5a55f2fd9e1cb25a6bc77f47375a57", "0831794eddcbac1f601dcb9be9d45531a56dbf7e", "10cb39e93fac194220237f15dae084136fdc6740", "11bb2abe0ca614c15701961428eb2f260e3e2eef", "bd243d77076b3b8fe046bd3dc6e8a02aa9b38d62", "d81451529e64cf0d272d5663dc8473338e011c75", "aef58a54d458ab76f62c9b6de61af4f475e0f616", "ac9ee00414034f340b1c612ef23bbc9ed6d653e0", "06526c52a999fdb0a9fd76e84f9795a69480cecf", "164b0e2a03a5a402f66c497e6c327edf20f8827b", "57eeaceb14a01a2560d0b90d38205e512dcca691", "10df1d4b278da991848fb71b572f687bd189c10e", "34bb11bad04c13efd575224a5b4e58b9249370f3", "372a8bf0ef757c08551d41e40cb7a485527b6cd7", "7f6061c83dc36633911e4d726a497cdc1f31e58a", "4873c78f0cd5a1fad96300e49e196af75800a24e", "bd60560a8e2e97e90a6a26e350f75ba7263966c8", "b5667d087aafcf6b91f3c77aa90cee1ac185f8f1", "944faf7f14f1bead911aeec30cc80c861442b610", "521aa8dcd66428b07728b91722cc8f2b5a73944b", "69a41c98f6b71764913145dbc2bb4643c9bc4b0a", "07c83f544d0604e6bab5d741b0bf9a3621d133da", "057b80e235b10799d03876ad25465208a4c64caf", "14b66748d7c8f3752dca23991254fca81b6ee86c", "18206e1b988389eaab86ef8c852662accf3c3663", "81ede08b36f3abd423424804da8ff240606b3a5d", "c1173b8d8efb8c2d989ce0e51fe21f6b0b8d1478", "a77e9f0bd205a7733431a6d1028f09f57f9f73b0", "26575ad9e75efb440a7dc4ef8e548eed4e19dbd1", "e5b9269c7499be1bf6d50678c2b06db648dbd283", "12ccfc188de0b40c84d6a427999239c6a379cd66", "2c9f486fcec3c80a41fcecf33b6f4653bac1aaf5", "866f70b2b3d91d15e235712378952d942c9c7478", "b56f3a7c50bfcd113d0ba84e6aa41189e262d7ae", "3557b92c64d17717253a3a6136fc85cf41ee3036", "48db8bf18e2f6f19e07e88384be855c8b7ea0ead", "5de5006d6c02762595e1a186f25fda669b64b61b", "b133b2d7df9b848253b9d75e2ca5c68e21eba008", "050fdbd2e1aa8b1a09ed42b2e5cc24d4fe8c7371", "d9f885dd41c13aa62531dd8bee571079cab8d20d", "052880031be0a760a5b606b2ad3d22f237e8af70", "5695b767369f2d65e8bf4e6303f00b73eeabc6c7", "a9fc8efd1aa3d58f89c0f53f0cb112725b5bda10", "8cdc9bb623bf7e587c8ffb9561aaab9a7e1f0a95", "32b8c9fd4e3f44c371960eb0074b42515f318ee7", "907547b332ec1863f6ebc5298682df65a9dd8225", "fb2cc3501fc89f92f5ee130d66e69854f8a9ddd1", "da092dad9a978f420bff4fb7731d5453ebed1d5e", "72b597578176aba4dcc2fec79196d5071a6d3133", "8e9b92a805d1ce0bf4e0c04133d26e28db036e6a", "c6241e6fc94192df2380d178c4c96cf071e7a3ac", "016800413ebd1a87730a5cf828e197f43a08f4b3", "e667250b0407b262e9d15929c86b6da347f9cdc9", "7306d42ca158d40436cc5167e651d7ebfa6b89c1", "2a14b6d9f688714dc60876816c4b7cf763c029a9", "9e8382aa1de8f2012fd013d3b39838c6dad8fb4d", "f6fc112ff7e4746b040c13f28700a9c47992045e", "af55a25cdd3a2c138e755d5206b35457c1f5760b", "6d3b00381c619912337c60897307322ba4edff3b", "acd26d5b85e979d73101ac790bfdedf17bfe8ed1", "68d08ed9470d973a54ef7806318d8894d87ba610", "be5276e9744c4445fe5b12b785650e8f173f56ff", "f38813f1c9dac44dcb992ebe51c5ede66fd0f491", "a2065ec87fd8a917bf0962e77417ace62e6cc6d9", "a3f684930c5c45fcb56a2b407d26b63879120cbf", "d93baa5ecf3e1196b34494a79df0a1933fd2b4ec", "07edbcc0acd09abd81d0353cdb48d137ce498f24", "4a2062ba576ca9e9a73b6aa6e8aac07f4d9344b9", "4e6c9be0b646d60390fe3f72ce5aeb0136222a10", "3beb6b76acb0485d28e8e02f7cfbcc407560708e", "e2888084b375163f7c956adff102fdbc9fe7fb40", "8bbbe65f6b4a01152b467a1376dfcf9203690013", "057d5f66a873ec80f8ae2603f937b671030035e6", "33f2b44742cc828347ccc5ec488200c25838b664", "4fd29e5f4b7186e349ba34ea30738af7860cf21f", "a27735e4cbb108db4a52ef9033e3a19f4dc0e5fa", "07c3904c8c36bef110ab6fdf00129637fae35349", "ad4d1ecf5c5473c050e11f6876ce148de1c8920a", "782a05fbe30269ff8ab427109f5c4d0a577e5284", "cdf53f506338b6282cd0032761193d3158f5e430", "9c065dfb26ce280610a492c887b7f6beccf27319", "c7713be03c08e62d9a5c2f3be937a69c7ac4441e", "ab0981d1da654f37620ca39c6b42de21d7eb58eb", "17a8d1b1b4c23a630b051f35e47663fc04dcf043", "4d1f77d9418a212c61a3c75c04a5b3884f6441ba", "fe82d072a8d13cfefcd575db893f3374251f04a8", "35308a3fd49d4f33bdbd35fefee39e39fe6b30b7", "7c2c9b083817f7a779d819afee383599d2e97ed8", "fd33df02f970055d74fbe69b05d1a7a1b9b2219b", "bbe1332b4d83986542f5db359aee1fd9b9ba9967", "c36f3cabeddce0263c944e9fe4afd510b5bae816", "10af69f11301679b6fbb23855bf10f6af1f3d2e6", "81d232e1f432db7de67baf4f30f240c62d1a9055", "b449a9362a8dc7b8b1bdaa032a73577e2720ccb0", "a3c8c7da177cd08978b2ad613c1d5cb89e0de741", "c3a7262f681fe5c0c4afba73a37b52a7d8b2d8db", "24e07578dd0c2e224aa209b83fe1c21b635451dd", "7fc5b6130e9d474dfb49d9612b6aa0297d481c8e", "e353923ae4a3289c39a1e80deed826ac4b30f77d", "982ede05154c1afdcf6fc623ba45186a34f4b9f2", "9abd35b37a49ee1295e8197aac59bde802a934f3", "16c2eb10de8b2bf0f2f8304c8a365a5c7f8b7a2b", "662a9f41095196df82bf9df4249ec779cab5b216", "35e6f6e5f4f780508e5f58e87f9efe2b07d8a864", "7e27d946d23229220bcb6672aacab88e09516d39", "baa1ae74fbf7ed6204f2f6364d51375ff81aabc1", "2098983dd521e78746b3b3fa35a22eb2fa630299", "af369310aa73e9ff10518bdbf37afe17754687b7", "2766379db5d9907766dab034a52867d7394a265e", "217aa3aa0b3d9f6f394b5d26f03418187d775596", "c90427085909029afd2af01d1967e80b78e01b88", "e34cb2d2f9f6ccf63de5a838ce5218e0b817469b", "b9f2a755940353549e55690437eb7e13ea226bbf", "d1881993c446ea693bbf7f7d6e750798bf958900", "6881000e95bb145aec802b1f17cf02912507c0bd", "e0ab926cd48a47a8c7b16e27583421141f71f6df", "2f69e9964f3b6bdc0d18749b48bb6b44a4171c64", "7d7b036ed01765c9473d695f029142128d442aaa", "ae8d5be3caea59a21221f02ef04d49a86cb80191", "3bd50e33220af76ffc32a7e57688e248843b7f25", "ebde9b9c714ed326157f41add8c781f826c1d864", "4fc936102e2b5247473ea2dd94c514e320375abb", "63213d080a43660ac59ea12e3c35e6953f6d7ce8", "594217139575015e953b8b6c2616c0a196854d70", "062d67af7677db086ef35186dc936b4511f155d7", "5fac62a3de11125fc363877ba347122529b5aa50", "c02847a04a99a5a6e784ab580907278ee3c12653", "b3b532e8ea6304446b1623e83b0b9a96968f926c", "32799cee51933ac4e1999358bad64817985826d7", "cc6d3ccc9e3dd0a43313a714316c8783cd879572", "2926ceef49f66f00a43b681878d209af87a1382f", "6bb630dfa797168e6627d972560c3d438f71ea99", "863ad2838b9b90d4461995f498a39bcd2fb87c73", "89d7aa10ad97251089d0204916f784f137f3a1ec", "af13aae576f4d9ecc3de73a9ef8ff4396d057b8c", "03c48d8376990cff9f541d542ef834728a2fcda2", "9c686b318cb7774b6da5e2c712743a5a6cafa423", "9e5690cdb4dfa30d98dff653be459e1c270cde7f", "4abd49538d04ea5c7e6d31701b57ea17bc349412", "dc974c31201b6da32f48ef81ae5a9042512705fe", "3dce3bb30f0c19121a71e0bfe1d418f855cb13ce", "1f59e0818e7b16c0d39dd08eb90533ea0ae0be5e", "bd9157331104a0708aa4f8ae79b7651a5be797c6", "1770c29a17aa69acbf3e39dffc3f1e9fe6fb2b3c", "adb648d08b9c75a99eba5091fa9618f3725713b8", "8bf647fed40bdc9e35560021636dfb892a46720e", "182b627d73de02764498c500aa7fb56cbeb1a424", "1c41965c5e1f97b1504c1bdde8037b5e0417da5e", "ac360c948a81738b892869fafe950e05cf477618", "24932a3c9e29877443da9b6bd1ab10f38f59758f", "29f0a868644462aa7ebc21f4510d4209932a1b8c", "34ec83c8ff214128e7a4a4763059eebac59268a6", "211c42a567e02987a6f89b89527de3bf4d2e9f90", "f8e10b9a85ac0785e1230124b1dd36987293170b", "6fef65bd7287b57f0c3b36bf8e6bc987fd161b7d", "34c8de02a5064e27760d33b861b7e47161592e65", "98fd92d68a143a5ced4a016fa3b7addd6b4a0122", "5003754070f3a87ab94a2abb077c899fcaf936a6", "ed9b230a1629049656c62bf4434d1212faeacc1f", "7b74b65983ae0abb09a540b6413a5a36b2df027a", "1eb1fdc5c933d2483ba1acbfa8c457fae87e71e5", "6144728018865691618dd340f3bad17dfc06d720", "5c5c710f4ad73c4e015afefe6a2a5f131ccfd82d", "5f7094ba898a248e1e6b37e3d9fb795e59131cdc", "a8ebb1ae213a0e8f3cea9ee97b4b5f1405d82e97", "2a41388040141ef6b016c100ef833a2a73ab8b42", "a4a5ad6f1cc489427ac1021da7d7b70fa9a770f2", "dd8e8f08ddbcf4a8ca28808a712f83a72850c26d", "cd22e6532211f679ba6057d15a801ba448b9915c", "1be0ce87bb5ba35fa2b45506ad997deef6d6a0a8", "d8c9bad8d07ae4196027dfb8343b9d9aefb130ff", "db1f48a7e11174d4a724a4edb3a0f1571d649670", "04b4c779b43b830220bf938223f685d1057368e9", "d794ffece3533567d838f1bd7f442afee13148fd", "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "6a17ef4a9cd6b09b7835a87e095694db4f3d3daf", "89498817a49d9c349ec9f67375023ead0411b865", "041af4546b48b0867a4f7242a708753a3b29a8a1", "6a02a6ce130ad3d6c78a5f573fd7badca41c7227", "89bc311df99ad0127383a9149d1684dfd8a5aa34", "abc1ef570bb2d7ea92cbe69e101eefa9a53e1d72", "769461ff717d987482b28b32b1e2a6e46570e3ff", "71a1fed654e1de9857d8b0d1c78c4024e60457bc", "53da7e4e193b334ce3891a55c61593a9fe479e19", "c535d4d61aa0f1d8aadb4082bdcc19f4cbdf0eaf", "81a142c751bf0b23315fb6717bc467aa4fdfbc92", "9f135d68bd3518ae06a45489ca5c50454776455e", "24aac045f1e1a4c13a58eab4c7618dccd4c0e671", "44f23600671473c3ddb65a308ca97657bc92e527", "6fea198a41d2f6f73e47f056692f365c8e6b04ce", "2601b679fdd637f3cd978753ae2f15e8759dd267", "77fb9e36196d7bb2b505340b6b94ba552a58b01b", "dc785007d600f69d1d50bed5481217e9842efcf2", "6d5125c9407c7762620eeea7570af1a8ee7d76f3", "89c3050522a0bb9820c32dc7444e003ef0d3e2e4", "67ae7ee9557cb486d5e1129b9b24466ffb8c4766", "cb6bdc66a0a7d405b3403e8a4c3117f8deafa7fb", "7ffd9e745e58f9dc876af7f68e9ef5b9d56d6461", "69f7045d901dab5e949948a16beb89a4b0b38c15", "bf77949b099348d8adffb14d5290b1db3fb0d2e0", "9626bcb3fc7c7df2c5a423ae8d0a046b2f69180c", "30b103d59f8460d80bb9eac0aa09aaa56c98494f", "be068ce0d5284dbd2c4c8ba4a31a41da2f794193", "b7c2227258ce57f46b761b3e2a1e89dc86c2ce89", "bcf19b964e7d1134d00332cf1acf1ee6184aff00", "05c5134125a333855e8d25500bf97a31496c9b3f", "88fd4d1d0f4014f2b2e343c83d8c7e46d198cc79", "1ca155a4b65ae19ccb73df48516e4775770a382c", "f8dfcbb111b1e739dbef580a87b63ebc6a76b7bc", "c5935b92bd23fd25cae20222c7c2abc9f4caa770", "d141c31e3f261d7d5214f07886c1a29ac734d6fc", "574ad7ef015995efb7338829a021776bf9daaa08", "6318d3842b36362bb45527b717e1a45ae46151d5", "5925a25dfe107c49c636eccb8f9fd1aeef7b438c", "c37a971f7a57f7345fdc479fa329d9b425ee02be", "4adb97b096b700af9a58d00e45a2f980136fcbb5", "392d35bb359a3b61cca1360272a65690a97a2b3f", "58eb9174211d58af76023ce33ee05769de57236c", "a6e25cab2251a8ded43c44b28a87f4c62e3a548a", "00f7f7b72a92939c36e2ef9be97397d8796ee07c", "95f1790da3d0a4a5310a050512ce355b3c5aac86", "6d69e5b03389da90fcc89b832a564f62ecbc54ff", "20a0b23741824a17c577376fdd0cf40101af5880", "7f52b5bbc2678d3bebef7e00e281d5ccdbac9f4b", "3a96a6a08b9a494e71450cd18d0b741135233eb2", "05a7be10fa9af8fb33ae2b5b72d108415519a698", "211b35befe51baf018e971d53d3c35cacbe6ad3e", "2c3430e0cbe6c8d7be3316a88a5c13a50e90021d", "85fb0d6cc991cf49ebc4f506b5edd44214979f65", "104ee18b513b52386f871e959c1f9e5072604e93", "96f0da034d090a3ecadd0fb92333bb681f23ab14", "e8b3a257a0a44d2859862cdec91c8841dc69144d", "eb973a103b1244238eb07ff805e24a66c4a971d0", "085b5f9fd49432edab29e2c64f2a427fbce97f67", "f0f854f8cfe826fd08385c0c3c8097488f468076", "f00925f8c8acc5450b5482a12753653cfeaeb268", "2bb53e66aa9417b6560e588b6235e7b8ebbc294c", "def65f74de66e37d3c2977d2322813a6f9b163b0", "4e0e49c280acbff8ae394b2443fcff1afb9bdce6", "df9269657505fcdc1e10cf45bbb8e325678a40f5", "c97774191be232678a45d343a25fcc0c96c065e7", "081d6ac51bbb7df142e3db6649fb5d663e90d569", "3b408a3ca6fb39b0fda4d77e6a9679003b2dc9ab", "bc8e11b8cdf0cfbedde798a53a0318e8d6f67e17", "f1ef5156eccee6c845bb9f0a99a3943218e145a3", "61e2044184d86d0f13e50ecaa3da6a4913088c76", "819d1dcea397e6e671acf74adccdef5750550873", "ea9e5fcdac51328a99e88f14b194abb933bd81b3", "f9fff8a34942053fd93760c8c84a40849b9db734", "eacba5e8fbafb1302866c0860fc260a2bdfff232", "a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531", "e25c57a6395b7c8861088699eef1a56b6f1d70ad", "e19ebad4739d59f999d192bac7d596b20b887f78", "fe8a8c4133698e4b68018d99c6a2bcec870c5464", "bff567c58db554858c7f39870cff7c306523dfee", "9d530c341b3eda84c0b0a2c3149232daf16056f4", "1fe1bd6b760e3059fff73d53a57ce3a6079adea1", "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "7f9b192dad9f85289016c8a089d2a6a65ed1224a", "82007bd70d83869fdbe39c03bda0b4459991fda7", "24eeb748a5e431510381ec7c8253bcb70eff8526", "ecf589ab160976d283d751a8dc407b6cdaff67b0", "695426275dee2ec56bc0c0afe1c5b4227a350840", "8878871ec2763f912102eeaff4b5a2febfc22fbe", "7f511a6a2b38a26f077a5aec4baf5dffc981d881", "3f0e0739677eb53a9d16feafc2d9a881b9677b63", "247ee3e4519381a84fdfe655223c270c4ef1ad75", "9c23acb6e9b76dd9b4bdacf4974b42e8c45f5260", "dc95fb644c12ee9caa989390af29c969b4c1d646", "16eaa26a84468b27e559215db01c53286808ec2a", "8de174e1e050e0037d1d51fa35d43b2bfcd7dc2e", "53698b91709112e5bb71eeeae94607db2aefc57c", "5dd146912c2b2a313cea50acdcca3b4b54479142", "4bbbee93519a4254736167b31be69ee1e537f942", "c15b68986ecfa1e13e3791686ae9024f66983f14", "758d1c17569eea2a698cac31b2d9d2a772c84322", "78b457f8b1ba4fbd1c50c32ec1f02f4f58764ad7", "ef3043a7f5e2900c7dc0d8fc90f8380278cb15c5", "a6b5ca99432c23392cec682aebb8295c0283728b", "d56c5f0a23ecef2eeaad1b882829d709fa172632", "00d4c2db10f3a32d505d7b8adc7179e421443dec", "e4d7b8eb0a8e6d2bb5b90b027c1bf32bad320ba5", "f42dca4a4426e5873a981712102aa961be34539a", "b181ae8ed315ceb8f03332ba02ef0849adbe5b4c", "fffa2943808509fdbd2fc817cc5366752e57664a", "edd7504be47ebc28b0d608502ca78c0aea6a65a2", "27c66b87e0fbb39f68ddb783d11b5b7e807c76e8", "4cc681239c8fda3fb04ba7ac6a1b9d85b68af31d", "19824fa8bc5522f758b5c9f433fe73da9e02268b", "b5322d96c301ef4042a0a3af8512b2cd87f8fe39", "49be50efc87c5df7a42905e58b092729ea04c2f5", "c843f591658ca9dbb77944a89372a92006defe68", "8820d1d3fa73cde623662d92ecf2e3faf1e3f328", "d45f7abeca184533ee0f0670c4946bcd34edda81", "c6c086748474dcda06d773891848aa1472de3560", "815aa52cfc02961d82415f080384594639a21984", "c1fc70e0952f6a7587b84bf3366d2e57fc572fd7", "1977c3aea64b7dcb8750e59edaa20b1ccce83464", "40dd736c803720890d6bfc1e083f6050e35d8f7a", "1f05473c587e2a3b587f51eb808695a1c10bc153", "b6d977251b551471f5dddfb0a2e8f9c542e684d2", "deaec57538ae555282a66ad632247a657a00e29f", "2f1485994ef2c09a7bb2874eb8252be8fe710db1", "bf2eb77e9b795a4a0a38ed4b1c8dd4b2c9a74317", "06f39834e870278243dda826658319be2d5d8ded", "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "3266fcd1886e8ad883714e38203e66c0c6487f7b", "ba29ba8ec180690fca702ad5d516c3e43a7f0bb8", "dfa80e52b0489bc2585339ad3351626dee1a8395", "beb2f1a6f3f781443580ffec9161d9ce6852bf48", "31625522950e82ad4dffef7ed0df00fdd2401436", "2cde051e04569496fb525d7f1b1e5ce6364c8b21", "b191aa2c5b8ece06c221c3a4a0914e8157a16129", "089513ca240c6d672c79a46fa94a92cde28bd567", "1130c38e88108cf68b92ecc61a9fc5aeee8557c9", "73598ca47948fa18e051ce5173d7556e0f485489", "44384fb1f20cea528f32c1c14c5a8400b65c1804", "42517e072406ea6f8d2c579d98ee3f9918a8a1d3", "eb100638ed73b82e1cce8475bb8e180cb22a09a2", "4c6daffd092d02574efbf746d086e6dc0d3b1e91", "22dada4a7ba85625824489375184ba1c3f7f0c8f", "353480b21d5745590db5f70b016a27e25f5b9aec", "ac0d3f6ed5c42b7fc6d7c9e1a9bb80392742ad5e", "f2abaa1476fe1f00358f3eaa77dde2f348f58982", "7edf213eb3754f9da150cd6f1a4c0ad2e2c416fb", "24115d209e0733e319e39badc5411bbfd82c5133", "e624c73e3057a1de75e9d6d7e813771154ff1375", "60c699b9ec71f7dcbc06fa4fd98eeb08e915eb09", "0d8d0ce66eb661fbf12a04130dd7d51454f1f196", "3d5a1be4c1595b4805a35414dfb55716e3bf80d8", "263ed62f94ea615c747c00ebbb4008385285b33b", "d691440030394c2e00a2ab47aba4f8b5fca5f25a", "51275703f9a27e9e94e90440360de98c113e809f", "b3200539538eca54a85223bf0ec4f3ed132d0493", "279459cbbc5c6db4802e9c737cc72a612d76f7fc", "d833c48334e906537f21757b6f9fa44da66f6c76", "ec6a2093059fd6eada9944212f64a659881abb95", "0a82860d11fcbf12628724333f1e7ada8f3cd255", "197efbef17f92e5cb5076961b6cd9f59e88ffd9a", "1cca57d2532a4085fb357c10237bdded69541310", "3174fceef3cf09ac35e8d1eb4e1b8b73a3b2c713", "eee2d2ac461f46734c8e674ae14ed87bbc8d45c6", "ee15b67b606ff49cd17467b062c11441e3b2dd70", "1a167e10fe57f6d6eff0bb9e45c94924d9347a3e", "63f2d1a64737afa1608588b9651b1e4207e82d1c", "a92adfdd8996ab2bd7cdc910ea1d3db03c66d34f", "55c68c1237166679d2cb65f266f496d1ecd4bec6", "2c51069d03974bd28dd821142a852ec24ce7546a", "fe4aa088362d371daf15ccf9290291c8867e4f23", "6ff497677f27d3e45e4633550c1a0e5243b8fa3b", "c8ab4fbcf1f32bc9a9f7d7957704853fed60b2bc", "b0526f25acba719a4e85f54ab1f164292f7c0f13", "a6e21438695dbc3a184d33b6cf5064ddf655a9ba", "3fa738ab3c79eacdbfafa4c9950ef74f115a3d84", "0145dc4505041bf39efa70ea6d95cf392cfe7f19", "d5d5cc27ca519d1300e77e3c1a535a089f52f646", "4534d78f8beb8aad409f7bfcd857ec7f19247715", "155199d7f10218e29ddaee36ebe611c95cae68c4", "1491b98d8e9ccca13bec883f94d935d2dff24053", "bc36badb6606b8162d821a227dda09a94aac537f", "558fc9a2bce3d3993a9c1f41b6c7f290cefcf92f", "2980bea598e2208b08e0996a114400415785debd", "8ad12d3ee186403b856639b58d7797aa4b89a6c7", "0d467adaf936b112f570970c5210bdb3c626a717", "b03446a2de01126e6a06eb5d526df277fa36099f", "3150e329e01be31ba08b6d76fc46b0da88a5ddeb", "407de9da58871cae7a6ded2f3a6162b9dc371f38", "a000149e83b09d17e18ed9184155be140ae1266e", "e793f8644c94b81b7a0f89395937a7f8ad428a89", "b5c749f98710c19b6c41062c60fb605e1ef4312a", "7b8e9c50f74ce6ca66a8ab61fb18ca31d26cf13f", "090873e83594fc7396fb81b64f4ec38a05151304", "2b1327a51412646fcf96aa16329f6f74b42aba89", "709d7f6b86c01fe90f10ae9216a91f95b1dcd2fb", "959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c", "5f6ab4543cc38f23d0339e3037a952df7bcf696b", "3c56acaa819f4e2263638b67cea1ec37a226691d", "107fc60a6c7d58a6e2d8572ad8c19cc321a9ef53", "79fc892abaf44a84a758268efd4d1b9e6b64ecf5", "9e65e03be8b63ab0675c37d7c38e7a678cb26c1d", "12408baf69419409d228d96c6f88b6bcde303505", "edf60d081ffdfa80243217a50a411ab5407c961d", "c83e26622b275fdf878135e71c23325a31d0e5fc", "14b69626b64106bff20e17cf8681790254d1e81c", "89b0608fc3bf63b4fafd6ad42529067220d901af", "33402ee078a61c7d019b1543bb11cc127c2462d2", "2525f336af31178b836e27f8c60056e18f1455d2", "61f0718163a622f0431692f81b539e5a6f9b944d", "b5cd9e5d81d14868f1a86ca4f3fab079f63a366d", "f6abecc1f48f6ec6eede4143af33cc936f14d0d0", "98127346920bdce9773aba6a2ffc8590b9558a4a", "5406fd98aa22bc2a0c1a8bc2a58ca3eb7a91155d", "dbaf89ca98dda2c99157c46abd136ace5bdc33b3", "6261eb75066f779e75b02209fbd3d0f02d3e1e45", "e0793fd343aa63b5f366c8ace61b9c5489c51a4d", "c88e1ed0bd67a25c5c81d70de62e53e99876dd93", "473366f025c4a6e0783e6174ca914f9cb328fe70", "4b1682da96af72ce0ddaa9384ce294611807a8b3", "95d858b39227edeaf75b7fad71f3dc081e415d16", "e6b534d8838f92461a478a3e737b73e08db94748", "a0c37f07710184597befaa7e6cf2f0893ff440e9", "4f2713b128de5d1dc0e9f6a555ee7b94adb1b181", "c3e94bffaa786b099a37d58e64e8dc870c7526b9", "c61eaf172820fcafaabf39005bd4536f0c45f995", "473031328c58b7461753e81251379331467f7a69", "94806f0967931d376d1729c29702f3d3bb70167c", "ba29f13648ca6600de02765ad83c0d0a9f71d610", "a9f652787e5669168c7b8f632c3a343dfbaa6f4b", "de15f111baace7f6ec49c44ca7d34fcec15b7cfa", "ef7b8f73e95faa7a747e0b04363fced0a38d33b0", "7056f8bbc6796ea3c5af9c93a033eb442c5959db", "1e94cc91c5293c8fc89204d4b881552e5b2ce672", "08410196627dfd16371d781a64e98573c54d07a4", "1ea74780d529a458123a08250d8fa6ef1da47a25", "f0f4f16d5b5f9efe304369120651fa688a03d495", "aa581b481d400982a7e2a88830a33ec42ad0414f", "10d7a0a51cf531e599047bc7d6cb0715011c2675", "9758f3fd94239a8d974217fe12599f88fb413f3d", "9d58e8ab656772d2c8a99a9fb876d5611fe2fe20", "1c30bb689a40a895bd089e55e0cad746e343d1e2", "05e3acc8afabc86109d8da4594f3c059cf5d561f", "c0ca6b992cbe46ea3003f4e9b48f4ef57e5fb774", "283181a2173b485726664edc6fe73f0465387629", "651acadf8be02a8e3afea3c3d17e0637864fd91e", "e6c491fb6a57c9a7c2d71522a1a066be2e681c84", "5feb1341a49dd7a597f4195004fe9b59f67e6707", "398e0771e64cab6ca5d21754e32dce63f9e3c223", "79a78ba93f3d4d7dc30eb6f943a2d2ac7cabb048", "170a5f5da9ac9187f1c88f21a88d35db38b4111a", "7b0fe0bc433d894299e249d97ed894671c3748b1", "3fd092b96c3339507732263c9e6379b307c26073", "009a18d04a5e3ec23f8ffcfc940402fd8ec9488f", "2063222c5ce0dd233fa3056ddc245fca26bd5cf2", "70c58700eb89368e66a8f0d3fc54f32f69d423e1", "1384a83e557b96883a6bffdb8433517ec52d0bea", "70c9d11cad12dc1692a4507a97f50311f1689dbf", "15ef449ac443c494ceeea8a9c425043f4079522e", "8f27df2d4fb7dd7ed5587640dcbe4dc1eb37acfb", "f2a7f9bd040aa8ea87672d38606a84c31163e171", "ac4cd0cb132e34dc20a25c2fe14edd84dbf27ad3", "6de18708218988b0558f6c2f27050bb4659155e4", "19994e667d908bc0aacfb663ab0a2bb5ad16b221", "8b744786137cf6be766778344d9f13abf4ec0683", "714cd75fe3557b4cbce4b7d5335d06af0fa99689", "d48bd355d091e7ae75ade4e878fe346741e7da1a", "663eb30b98e84d67a7468b6a6a996fcca600bf0a", "1dc241ee162db246882f366644171c11f7aed96d", "b08203fca1af7b95fda8aa3d29dcacd182375385", "85c90ad5eebb637f048841ebfded05942bb786b7", "e52f73c77c7eaece6f2d8fdd0f15327f9f007261", "90bec6f106f6d8d60cd939d594568bfc0f1393d9", "1b635f494eff2e5501607ebe55eda7bdfa8263b8", "96ce111119624888be47d998cf87c9df18988c4d", "098fa9b4c3f7fb41c7a178d36f5dbb50a3ffa377", "51cb09ee04831b95ae02e1bee9b451f8ac4526e3", "d4ebf0a4f48275ecd8dbc2840b2a31cc07bd676d", "6dd2a0f9ca8a5fee12edec1485c0699770b4cfdf", "fe4dbea7d530c21c77137f52fed28c9b0947172b", "ed388878151a3b841f95a62c42382e634d4ab82e", "6eee0fd08e8b33bf2affb355a6ecd3523860aa11", "551fa37e8d6d03b89d195a5c00c74cc52ff1c67a", "1fa426496ed6bcd0c0b17b8b935a14c84a7ee1c2", "6ae72dc774f62b190036fb094be4558d827e53d2", "d961617db4e95382ba869a7603006edc4d66ac3b", "94d67304c6c0d23c7dfcf008cbf799b54b8d20b9", "ddd9d7cb809589b701fba9f326d7cf998a63b14f", "cbb8ccb289e3b9d39481081ef8dc1c80039659d5", "58b3669cd4eed088f9a6b398aee583c5c3d8036f", "5b5599b3387840d41e536771886ce55320a7f8ea", "35f57dfe596a19c1ae3393cbb088769d6f517684", "8f3675e979629ca9cee9436d37763f546edb8d40", "ef8de1bd92e9ee9d0d2dee73095d4d348dc54a98", "2bcec23ac1486f4106a3aa588b6589e9299aba70", "22f94c43dd8b203f073f782d91e701108909690b", "ad58b92ebc45e71e40ce68d4375441267549b054", "7142ac9e4d5498037aeb0f459f278fd28dae8048", "3634b4dd263c0f330245c086ce646c9bb748cd6b", "7fe2ab9f54242ef8609ef9bf988f008c7d42407c", "0329d9be8ab1e3a1d5e4b9e7db5af5bbcc64e36f", "59478365451b82f5227bc4b694a2ff319025cc33", "7e467e686f9468b826133275484e0a1ec0f5bde6", "4fa0d73b8ba114578744c2ebaf610d2ca9694f45", "19841b721bfe31899e238982a22257287b9be66a", "997b9ffe2f752ba84a66730cfd320d040e7ba2e2", "62fddae74c553ac9e34f511a2957b1614eb4f937", "64dac451ccb1b998f4dff1d35ccdd3936ea49e33", "51c8cf240c0d2660988773153371d8ce029a8e08", "cec8936d97dea2fcf04f175d3facaaeb65e574bf", "195df1106f4d7aff0e9cb609358abbf80f54a716", "1ebdfceebad642299e573a8995bc5ed1fad173e3", "f22d6d59e413ee255e5e0f2104f1e03be1a6722e", "ddfae3a96bd341109d75cedeaebb5ed2362b903f", "024d037d46ae933c7e12fd16af61953c7161773a", "30b74e60ec11c0ebc4e640637d56d85872dd17ce", "10a1dcbe52547146fa4735274e8c89ae01e70a55", "2d9e58ea582e054e9d690afca8b6a554c3687ce6", "686970efdcef5d11a4d2b1f5d77d5515d766f53a", "1bad8a9640cdbc4fe7de12685651f44c4cff35ce", "c829be73584966e3162f7ccae72d9284a2ebf358", "5ac946fc6543a445dd1ee6d5d35afd3783a31353", "738c187d55745aac18d5fb5f6cc9e3568cd2d217", "4c822785c29ceaf67a0de9c699716c94fefbd37d", "5de5848dc3fc35e40420ffec70a407e4770e3a8d", "6009bba115904bc3bf876224db90b232c4f0a48f", "533d14e539ae5cdca0ece392487a2b19106d468a", "02cc96ad997102b7c55e177ac876db3b91b4e72c", "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "cee66bd89d1e25355e78573220adcd017a2d97d8", "db848c3c32464d12da33b2f4c3a29fe293fc35d1", "167736556bea7fd57cfabc692ec4ae40c445f144", "374a0df2aa63b26737ee89b6c7df01e59b4d8531", "e8a150b743d487e9dbf6e023b0928f03b2c39aef", "6114916d2bd874ba15653168a207df6c55c11efd", "0247998a1c045e601dc4d65c53282b5e655be62b", "2288696b6558b7397bdebe3aed77bedec7b9c0a9", "d63bd06340dd35590a22222509e455c49165ee13", "7c42798c307c67ca8b80f51d99e8f79764c0aaed", "f19bf8b5c1860cd81b5339804d5db9e791085aa7", "ca37eda56b9ee53610c66951ee7ca66a35d0a846", "8befcd91c24038e5c26df0238d26e2311b21719a", "a93781e6db8c03668f277676d901905ef44ae49f", "2e5b160892b70a1e846aa9dcdf132b8011937ec6", "274959f26d04848f71a355c09500fd7ebc271d69", "371ab565b512a5ef9133831c8b7b04fb5b1905c4", "4fcd19b0cc386215b8bd0c466e42934e5baaa4b7", "a5f11c132eaab258a7cea2d681875af09cddba65", "4890a0810a666aba67864deb03c1661b477d4d83", "78df7d3fdd5c32f037fb5cc2a7c104ac1743d74e", "1bbec7190ac3ba34ca91d28f145e356a11418b67", "0cccf576050f493c8b8fec9ee0238277c0cfd69a", "bc3e1420b468bafc8edd8f2da665a8613fc2912c", "b1d2001e877bb36c8ccc97bee62d9824a3b8874d", "86ed5b9121c02bcf26900913f2b5ea58ba23508f", "5c7adde982efb24c3786fa2d1f65f40a64e2afbf", "a4d4f52f922b3f28251ae03abcca8c0a369694fd", "e3ce4c3e1279e3dc0c14ff3bb2920aced9e62638", "563143c5f4fed0184c1f3e661917da94cfed1d46", "65bba9fba03e420c96ec432a2a82521ddd848c09", "55995e4ac050563d10cbcdc07a79b729ccd1b25b", "1576ed0f3926c6ce65e0ca770475bca6adcfdbb4", "94498fae459167841e8b2f4b911493fc3c7da22f", "83cefc1a9cd1dd85cf9233016cf269beb6b7cd85", "3c09fb7fe1886072670e0c4dd632d052102a3733", "09926ed62511c340f4540b5bc53cf2480e8063f8", "faca1c97ac2df9d972c0766a296efcf101aaf969", "3d708e4ecabc50d3f3e387a21a73f6ae2b52ddfc", "dcea30602c4e0b7525a1bf4088620128d4cbb800", "b0de0892d2092c8c70aa22500fed31aa7eb4dd3f", "df87ede3627bcf682adca13dacd45d4e6941f983", "d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9", "fef6f1e04fa64f2f26ac9f01cd143dd19e549790", "4467a1ae8ddf0bc0e970c18a0cdd67eb83c8fd6f", "38f61e422ef75df4b96fb6081ce866556b6b854f", "91bf1aab212d9a51be89736a69ab82aa62f5bb01", "115b16e1d73e0bed2cd5d22b1a83c030db885393", "673541a8cb1aa3ac63a288523ba71aec2a38280e", "8cc4a4bc7f9a989130d5ac129d24426a444fe161", "cfcfe036b2026fbe8761888e43858c61a418331f", "a9506c60ec48056087ee3e10d28ff7774fbbd553", "631483c15641c3652377f66c8380ff684f3e365c", "c4b58ceafdf4cf55586b036b9eb4d6d3d9ecd9c4", "e0d878cc095eaae220ad1f681b33d7d61eb5e425", "2c258eec8e4da9e65018f116b237f7e2e0b2ad17", "b5979489e11edd76607c219a8bdc83ba4a88ab38", "40ff3276e62f03fe216d8592d2fc994d8eead010", "7e2f7c0eeaeb47b163a7258665324643669919e8", "17a995680482183f3463d2e01dd4c113ebb31608", "ce450e4849490924488664b44769b4ca57f1bc1a", "f0611827752eb1493f57c0aff38f15e950da2a74", "045e83272db5e92aa4dc8bdfee908534c2608711", "3bcd72be6fbc1a11492df3d36f6d51696fd6bdad", "27b06d8d09b0190f44597214627f0e8c65031ad9", "b7c6df1ae0e8348feecd65e9ad574d1e04d212a5", "66837b29270f3e03df64941a081d70c687c7955c", "7b43326477795a772c08aee750d3e433f00f20be", "025720574ef67672c44ba9e7065a83a5d6075c36", "dfc784c860795f4f9aa704b7655f6d1321018980", "cba090a5bfae7dd8a60a973259f0870ed68c4dd3", "7dffe7498c67e9451db2d04bb8408f376ae86992", "de048065ea2c5b3e306e2c963533df055e7dfcaa", "ac820d67b313c38b9add05abef8891426edd5afb", "f27e5a13c1c424504b63a9084c50f491c1b17978", "f92d3abfb16e491a52b2d89549396d023562285a", "e39db6a72f533b5adb2ecd9feaadbbab8204e024", "2f7fc778e3dec2300b4081ba2a1e52f669094fcd", "49a038852b9e51af658405231045559d728e0970", "d915e634aec40d7ee00cbea96d735d3e69602f1a", "0b2966101fa617b90510e145ed52226e79351072", "f39b7b7af204e9c769653c574284508fc027ce31", "506ea19145838a035e7dba535519fb40a3a0018c", "ed0d8997a4b7b80a7cd3592e98bdbe5c3aab0cee", "73ed64803d6f2c49f01cffef8e6be8fc9b5273b8", "35cbb64d46dfa3e74aea367a173dcb94cb6125c4", "c2dc29e0db76122dfed075c3b9ee48503b027809", "f557df59cd088ffb8e27506d8612d062407e96f4", "11c67d6fedc3dd95b752ade4e46ee143ac494259", "0726a45eb129eed88915aa5a86df2af16a09bcc1", "288db6d3369ddb6aba5d753e0a46ee32e2383bcd", "861a51e66553979535df2b41971150453ab26372", "9f499948121abb47b31ca904030243e924585d5f", "329394480fc5e9e96de4250cc1a2b060c3677c94", "e2faaebd17d10e2919bd69492787e7565546a63f", "2729e12ecb777a553e5ed0a1ac52dd37924e813d", "3b2a2357b12cf0a5c99c8bc06ef7b46e40dd888e", "b6ef158d95042f39765df04373c01546524c9ccd", "2be8e06bc3a4662d0e4f5bcfea45631b8beca4d0", "b56a568799a0dee06587d8ab54032f7bf7712008", "4698ed97f4a78e724c903ec1dd6e5538203237c8", "f5b8894cf0606b991a913b84a2a3e8b43e4c32de", "dc5cde7e4554db012d39fc41ac8580f4f6774045", "76996250596ca0665192daf5d4c8588f75014096", "57c59011614c43f51a509e10717e47505c776389", "f58f30932e3464fc808e539897efa4ee4e7ac59f", "7ad77b6e727795a12fdacd1f328f4f904471233f", "118ca3b2e7c08094e2a50137b1548ada7935e505", "2227f978f084ebb18cb594c0cfaf124b0df6bf95", "03e1480f1de2ffbd85655d68aae63a01685c5862", "416b559402d0f3e2b785074fcee989d44d82b8e5", "1cad5d682393ffbb00fd26231532d36132582bb4", "11f17191bf74c80ad0b16b9f404df6d03f7c8814", "c6dd337e44cae4ac6fbc5c53b27fa8176f417398", "d0d7671c816ed7f37b16be86fa792a1b29ddd79b", "fd7a3e809bc94a07f2604c1ec97d5e11080a993e", "3afd90a0675936e2f747171a1063d8171d987656", "90c4a6c6f790dbcef9a29c9a755458be09e319b6", "694a501468821e0cd0d4d98c85284d60dec58ed9", "30df8c70c11f6945b2b496b87c1923d2673092c6", "63a2e2155193dc2da9764ae7380cdbd044ff2b94", "06f8aa1f436a33014e9883153b93581eea8c5c70", "5615d6045301ecbc5be35e46cab711f676aadf3a", "bdd203bcd3c41c336c5635fb026a78279d75b4be", "df2899462e04559c024a773d91f6e06c262e136b", "41f26101fed63a8d149744264dd5aa79f1928265", "60462b981fda63c5f9d780528a37c46884fe0b54", "013d0acff1e5410fd9f6e15520d16f4ea02f03f6", "8b74252625c91375f55cbdd2e6415e752a281d10", "80135ed7e34ac1dcc7f858f880edc699a920bf53", "6fdf9b9a80a2fa9c04a3966587c29d1dde978097", "b61a3f8b80bbd44f24544dc915f52fd30bbdf485", "22df6b6c87d26f51c0ccf3d4dddad07ce839deb0", "a9756ca629f73dc8f84ee97cfa8b34b8207392dc", "303b832123a0d219e91a3e0bed337d74f68b3fcc", "5394d42fd27b7e14bd875ec71f31fdd2fcc8f923", "20767ca3b932cbc7b8112db21980d7b9b3ea43a3", "baafe3253702955c6904f0b233e661b47aa067e1", "6c1227659878e867a01888eef472dd96b679adb6", "97b5800e144a8df48f1f7e91383b0f37bc37cf60", "f02a6bccdaee14ab55ad94263539f4f33f1b15bb", "fc5bdb98ff97581d7c1e5eb2d24d3f10714aa192", "645de797f936cb19c1b8dba3b862543645510544", "8c501a89092252a9f62f76a6f439916efe626251", "488375ae857a424febed7c0347cc9590989f01f7", "4e5dc3b397484326a4348ccceb88acf309960e86", "503db524b9a99220d430e741c44cd9c91ce1ddf8", "247a8040447b6577aa33648395d95d80441a0cf3", "225fb9181545f8750061c7693661b62d715dc542", "930721b5ae8661fb840ea968582a9722ad9f66d5", "fe6edc8c6e4cff6a2c115648a2135ffd47b04a08", "cfc4aa456d9da1a6fabd7c6ca199332f03e35b29", "beabb0d9d30871d517c5d915cf852f7f5293f52f", "67ba3524e135c1375c74fe53ebb03684754aae56", "e3144f39f473e238374dd4005c8b83e19764ae9e", "062c41dad67bb68fefd9ff0c5c4d296e796004dc", "c4761b47c3f259559740c90bd42ed8442249499d", "1252727e8096f48096ef89483d30c3a74500dd15", "056294ff40584cdce81702b948f88cebd731a93e", "90298f9f80ebe03cb8b158fd724551ad711d4e71", "41aa8c1c90d74f2653ef4b3a2e02ac473af61e47", "ebf204e0a3e137b6c24e271b0d55fa49a6c52b41", "465d5bb11912005f0a4f0569c6524981df18a7de", "ebb9d53668205c5797045ba130df18842e3eadef", "12150d8b51a2158e574e006d4fbdd3f3d01edc93", "90e266add46b06e59f67c486d423e38b95bb1fbb", "267c6e8af71bab68547d17966adfaab3b4711e6b", "264a84f4d27cd4bca94270620907cffcb889075c", "d09d663055b3b6d588bf4de2f386bb144d09aea8", "b03b4d8b4190361ed2de66fcbb6fda0c9a0a7d89", "17027a05c1414c9a06a1c5046899abf382a1142d", "9d4c467adc09fb50c5e799fc124f3e82da8c3c22", "378418fdd28f9022b02857ef7dbab6b0b9a02dbe", "09b0ef3248ff8f1a05b8704a1b4cf64951575be9", "dee6609615b73b10540f32537a242baa3c9fca4d", "b09b693708f412823053508578df289b8403100a", "6343bc0013343b6a5f96154f02d18dcd36a3f74c", "781c2553c4ed2a3147bbf78ad57ef9d0aeb6c7ed", "17035089959a14fe644ab1d3b160586c67327db2", "351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd", "a6b1d79bc334c74cde199e26a7ef4c189e9acd46", "0be49fc1e0c9a6a50e449015945dd1cf92ccd07e", "162403e189d1b8463952fa4f18a291241275c354", "703c9c8f20860a1b1be63e6df1622b2021b003ca", "e9ba4e866862936cc49c4b762afd29367289fe31", "e03e86ac61cfac9148b371d75ce81a55e8b332ca", "3852968082a16db8be19b4cb04fb44820ae823d4", "01c9dc5c677aaa980f92c4680229db482d5860db", "703dc33736939f88625227e38367cfb2a65319fe", "2588acc7a730d864f84d4e1a050070ff873b03d5", "3dcc51a37f2e5e91d77ff00f18178484c4e938cb", "36ab143da8b6f6d49811afaaa7bcbf81c22a210e", "645f09f4bc2e6a13663564ee9032ca16e35fc52d", "1056347fc5e8cd86c875a2747b5f84fd570ba232", "079edd5cf7968ac4759dfe72af2042cf6e990efc", "b5f9d5be7561bb6eacee9012275b17c75696c388", "0fc254272db096a9305c760164520ad9914f4c9e", "6e46d8aa63db3285417c8ebb65340b5045ca106f", "071135dfb342bff884ddb9a4d8af0e70055c22a1", "62f07200058df5b39883b3ed918083f58e7e734b", "6ce6768a34e197e4ef76933c8e6760b6e4833dc4", "ce11b2d7905d2955c4282db5b68482edb846f29f", "38d0dd93755b83b2390815fda926866f7ec624ce", "7577a1ddf9195513a5c976887ad806d1386bb1e9", "861ba11c0de8efc8bca4320f59364080886cfbdb", "080c204edff49bf85b335d3d416c5e734a861151", "69fb98e11df56b5d7ec7d45442af274889e4be52", "2da695c0286e9ba62bf16c6b59f2c4f50ab2df2b", "0290523cabea481e3e147b84dcaab1ef7a914612", "f41d7f891a1fc4569fe2df66e67f277a1adef229", "9077365c9486e54e251dd0b6f6edaeda30ae52b9", "b4d209845e1c67870ef50a7c37abaf3770563f3e", "516d0d9eb08825809e4618ca73a0697137ebabd5", "fd71ae9599e8a51d8a61e31e6faaaf4a23a17d81", "83b54b8c97dc14e302dad191327407ec0d5fb4a6", "18b3a7421dc3e889f2d3031a139e79467e825f98", "554b9478fd285f2317214396e0ccd81309963efd", "ad9c5d86acaa6eb194fff67a4d8ba6e8d8cd495a", "ba816806adad2030e1939450226c8647105e101c", "a4c430b7d849a8f23713dc283794d8c1782198b2", "4f0b8f730273e9f11b2bfad2415485414b96299f", "a6db73f10084ce6a4186363ea9d7475a9a658a11", "ba30cc9d8bac724dafc0aea247159cc7e7105784", "40d62396bb195d510bef5c0fd2bfa2bae6777754", "13f1a38bc8542eb7d9d5d3b13d326fbec1f01783", "73af3cbbabb7a63498944fbb8f9e39b5570aee76", "3e3f305dac4fbb813e60ac778d6929012b4b745a", "5c45c46b9b35685497d5fcdf2d4d748f3d27449a", "e75a589ca27dc4f05c2715b9d54206dee37af266", "3cbd3124b1b4f95fcdf53abd358d7ceec7861dda", "ce3f3088d0c0bf236638014a299a28e492069753", "53a41c711b40e7fe3dc2b12e0790933d9c99a6e0", "15d653972d176963ef0ad2cc582d3b35ca542673", "e412efc9baecddac274639c0a5140aa28446792c", "14070478b8f0d84e5597c3e67c30af91b5c3a917", "9652f154f4ae7807bdaff32d3222cc0c485a6762", "43c3b6a564b284382fdf8ae33f974f4e7a89600e", "d1694200f2fe0676985a8cfe467f9ae010eb3e57", "3cc2d6ace4cf0bc3a6c4df5ca8da892275ca201f", "4c0cc732314ba3ccccd9036e019b1cfc27850c17", "ebabd1f7bc0274fec88a3dabaf115d3e226f198f", "041115cb5509466f7449451709387268a008aba2", "4ee94572ae1d9c090fe81baa7236c7efbe1ca5b4", "d66e13a5e128a4ecad78e0c1c128893684292dec", "c553f0334fcadf43607925733685adef81fbe406", "abf0aa1d8869d87f4ef62e2da058ccfb4bf46d18", "355cea44e2d40409a7a5be72b12511e43d259cb9", "a301ddc419cbd900b301a95b1d9e4bb770afc6a3", "c244c3c797574048d6931b6714ebac64d820dbb3", "060034b59275c13746413ca9c67d6304cba50da6", "0abf67e7bd470d9eb656ea2508beae13ca173198", "427be2984bc0ff3831480c6dd6ae9c59c25603e7", "e0dedb6fc4d370f4399bf7d67e234dc44deb4333", "f7911b9ff58d07d19c68f4a30f40621f63c0f385", "fab04dfcb35a29a46504d2ad3acbc642c602c7e8", "5945464d47549e8dcaec37ad41471aa70001907f", "597d62e665d5b3103b0b62c1c029b8fdc856cd67", "4f298d6d0c8870acdbf94fe473ebf6814681bd1f", "521b625eebea73b5deb171a350e3709a4910eebf", "05bcc5235721fd6a465a63774d28720bacc60858", "69eb86b4501a516b983b6269b7f154e4a8a4d588", "e6f20e7431172c68f7fce0d4595100445a06c117", "2e3b981b9f3751fc5873f77ad2aa7789c3e1d1d2", "5a12e1d4d74fe1a57929eaaa14f593b80f907ea3", "282c859ffe35db6bce76b75cd51aa90a33ef0f72", "cec70cf159b51a18b39c80fac1ad34f65f3691ef", "1ed617d14dbc53b20287d3405b14c68d8dad3965", "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "4097fef623185557bb1842501cfdc97f812fc66d", "fecccc79548001ecbd6cafd3067bcf14de80b11a", "10befbb6c3f6183fe143830ac1479b7dcf119bae", "cf784156547c3be146706e2763c1a52d939d1722", "83d41f6548bb76241737dcd3fed9e182ee901ff9", "1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9", "d35c82588645b94ce3f629a0b98f6a531e4022a3", "a2359c0f81a7eb032cff1fe45e3b80007facaa2a", "41b01af6c7e6f3bd54700ef617c4bde9022012a4", "190b3caa2e1a229aa68fd6b1a360afba6f50fde4", "8724fc4d6b91eebb79057a7ce3e9dfffd3b1426f", "b54fe193b6faf228e5ffc4b88818d6aa234b5bb9", "3bfa630a6dc6d1ca98e7b43c90dd9e8b98e361d6", "d553ff1054ab9a9be745d3ed2c73c20f8afcc094", "9166f46aa3e58befaefd3537e5a11b31ebeea4d0", "b2e5df82c55295912194ec73f0dca346f7c113f6", "98e098ba9ff98fc58f22fed6d3d8540116284b91", "e546572f8205570de4518bcf8d0345465e51d7a0", "1b71d3f30238cb6621021a95543cce3aab96a21b", "39b452453bea9ce398613d8dd627984fd3a0d53c", "5a77877689e44e3ed48250f53e05b0d37bd901d7", "799c02a3cde2c0805ea728eb778161499017396b", "947ee3452e4f3d657b16325c6b959f8b8768efad", "17fa1c2a24ba8f731c8b21f1244463bc4b465681", "35e808424317cf03b51516df7d083f45791311ae", "74c19438c78a136677a7cb9004c53684a4ae56ff", "5dd496e58cfedfc11b4b43c4ffe44ac72493bf55", "669c2655f2d09d5d18b1dd25723f3a3a4cc4937d", "032a1c95388fb5c6e6016dd8597149be40bc9d4d", "87f87c837dfa89637de287fb5e4769114d6dae18", "9989eda2f5392cfe1f789bb0f6213a46d92d1302", "5e387b29ba253ddfe402509b2608d3f964721a8a", "feaedb6766f42e867aab7f1a33ba4d7ddacfc7aa", "4a9d906935c9de019c61aedc10b77ee10e3aec63", "0dfa460a35f7cab4705726b6367557b9f7842c65", "e060e32f8ad98f10277b582393df50ac17f2836c", "05e658fed4a1ce877199a4ce1a8f8cf6f449a890", "66886f5af67b22d14177119520bd9c9f39cdd2e6", "994b52bf884c71a28b4f5be4eda6baaacad1beee", "8981be3a69cd522b4e57e9914bf19f034d4b530c", "88493c1952000cde64c3f2294d36fc76fd23bf3f", "8383faea09b4b4bef8117a1da897495ebd68691b", "26a72e9dd444d2861298d9df9df9f7d147186bcd", "9d98a956aadaff727e495b14b7c532d40ea49e16", "7b87224dba24b4720f374c664158f40eb0d40ebe", "fc941fbbc906bf7834a21eea520e2d2277aa57f5", "e4d53e7f4c2052940841abc08f9574655f3f7fb4", "41aa209e9d294d370357434f310d49b2b0baebeb", "90bb40d96fcd16129eb85ce5dc4ee3b2380d74c8", "c0f67e850176bb778b6c048d81c3d7e4d8c41003", "b6bb1dcc63eee4b9f72431ec0397ae1bfdbb6060", "34c062e2b8a3f6421b9f4ff22f115a36d4aba823", "31ec1e5c3b5e020af4a5a3c1be2724c7429a7c78", "75a5d5b5b47aec2a7423632fa8a6efffdf320f46", "e65de721e68f498b6e1c63373c6df60a12533cc0", "12002e37fd9cf69a68c3c216c9ee78fcfac2fab5", "03b03f5a301b2ff88ab3bb4969f54fd9a35c7271", "0e3935a84c68cf4ddd696e09e56a2689a10957da", "ae78469de00ea1e7602ca468dcf188cdfe2c80d4", "d5de42d37ee84c86b8f9a054f90ddb4566990ec0", "93e1e195f294c463f4832c4686775bf386b3de39", "468c8f09d2ad8b558b65d11ec5ad49208c4da2f2", "8aa1591bf8fcb44f2e9f2f10d1029720ccbb8832", "292c6b743ff50757b8230395c4a001f210283a34", "ac559873b288f3ac28ee8a38c0f3710ea3f986d9", "6dd8d8be00376ac760dc92f9c5f20520872c5355", "3aa66f2829ef440842c71a52cdaff30398a90ccb", "f5b2d840e4e5f9e4191fdffbdfa82ca7b4701cec", "2f57ad0f2558e2a25443bddc5a28bd598cdbecad", "ea35d98dd074cee5042942804bd44a636f393d52", "2fea258320c50f36408032c05c54ba455d575809", "073eaa49ccde15b62425cda1d9feab0fea03a842", "0e36ada8cb9c91f07c9dcaf196d036564e117536", "a3f78cc944ac189632f25925ba807a0e0678c4d5", "8a990e81436422ebdf5de97c01c98b511dd4192c", "1221e25763c3be95c1b6626ca9e7feaa3b636d9a", "ecbe158c795b2bdbad9a16ac40a12a09c6bf11f1", "75259a613285bdb339556ae30897cb7e628209fa", "896f4d87257abd0f628c1ffbbfdac38c86a56f50", "94ac3008bf6be6be6b0f5140a0bea738d4c75579", "46242b2f1ba03f2625380fbc143cd854b9333e7f", "d1959ba4637739dcc6cc6995e10fd41fd6604713", "71167cf519940a7373adc221401c396198763ab0", "a6badaa9bbd8e222a2f06389261e27c5a599df68", "380f159cf407d2aa52232b8f7f29ae2405c35c65", "1ef6b55a23aab0ec6b02fdb01d5e30181ef42e04", "ddbd24a73ba3d74028596f393bb07a6b87a469c0", "749d605dd12a4af58de1fae6f5ef5e65eb06540e", "b9dc8cc479cacda1f23b91df00eb03f88cc0c260", "f3dc67bb4cd3601ae9bdb7df4ed5036f525ff21d", "169618b8dc9b348694a31c6e9e17b989735b4d39", "2914e8c62f0432f598251fae060447f98141e935", "56f57786516dcc8ea3c0ffe877c1363bfb9981d2", "0d62b577d0f361c05cdc6b838d03cf89766cae80", "60d4cef56efd2f5452362d4d9ac1ae05afa970d1", "96b59209ee9f658a5ed7c836e38e8fa623aba665", "c28d9c4b2d3cca5f149c2924a60490b7200fedc1", "9888edfb6276887eb56a6da7fe561e508e72a517", "add6d96fc018986f51a1aac47eae9ee3fc62fb66", "8613fef2738325a5697e253276b160099100528d", "4cac9eda716a0addb73bd7ffea2a5fb0e6ec2367", "b4d7ca26deb83cec1922a6964c1193e8dd7270e7", "1902288256839539aeb5feb3e1699b963a15aa1a", "efed01e3515097ecf25137cd543a94e92f8b8fbc", "e02fc2b0117b6f656ba7daef11987cbedb32cd89", "1b41d4ffb601d48d7a07dbbae01343f4eb8cc38c", "2d4b9fe3854ccce24040074c461d0c516c46baf4", "154695e22470bef2413c2b9388c7f1b575e3a2e1", "5dd473a4a9c6337b083edf38b6ddf5a6aece8908", "cd85f71907f1c27349947690b48bfb84e44a3db0", "bb489e4de6f9b835d70ab46217f11e32887931a2", "84b217090164f63c279d38712826cd8beade2bd3", "b9081856963ceb78dcb44ac410c6fca0533676a3", "d1f58798db460996501f224fff6cceada08f59f9", "62dccab9ab715f33761a5315746ed02e48eed2a0", "568cff415e7e1bebd4769c4a628b90db293c1717", "14c0f9dc9373bea1e27b11fa0594c86c9e632c8d", "0f9bf5d8f9087fcba419379600b86ae9e9940013", "e679d7d4a43b7549c0439bf00c05dc844e9ecfc6", "9797de286a3101fc31fb51995c18ec7d3eab804d", "da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2", "bb491d3bd43d8fb018cb7f14ca4a17738225bafb", "326ac7776f000c43ff05fbbbef444a55984346e1", "e13bd9e4571d4ed604ca38859f065bd22186cadd", "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "b45354f02252fc5aac4e8536e98fa80d5198c20a", "5435d5f8b9f4def52ac84bee109320e64e58ab8f", "021e008282714eaefc0796303f521c9e4f199d7e", "344a5802999dddd0a6d1c4d511910af2eb922231", "7d730b5e0f813c4bc1a28db276d182e45f2fb4a5", "4b4106614c1d553365bad75d7866bff0de6056ed", "7afd34046a8a0fd6bd2f2c5cc25e3793151b28c4", "8ed7924cd4aae54392e89f29d8a6f8a8f2a15de0", "de26c1560db47f63ef2dc8171d7c2c52369ffede", "e90124684b0cd67feb14cda51d9afe9fe73ba05e", "cb8ff64c1d228cdc87d0fe07a870b63d315c5566", "9da9b85e93a880aa5f026ca02bb188a445d909f2", "dd8ad6ce8701d4b09be460a6cf058fcd5318c700", "d7f5f4ae54e8020e8c01f5ea5de22a370d3e4b21", "299c14458e13eb290534eb4484ad910ea0e828a7", "0717b47ab84b848de37dbefd81cf8bf512b544ac", "6ee7007fc77c91e3d33951816ce695893fcbfac7", "53bf20644d0560a3afbf53ee1d2373713dc7f00a", "86b1751b265b289b09de79956e77a01d82e12086", "08bf83aeb7ec36815afd1183d8268ab4e10a2961", "feb303611836c0b0a7f633e5a00c3667c9860d2f", "1afef6b389bd727c566cd6fbcd99adefe4c0cf32", "0c6a18b0cee01038eb1f9373c369835b236373ae", "ac01cb10c356d26bcfb7f674fe91e6c190ba64ab", "74c8116d647612e8cd20a2528eeed38f76d09126", "94ded2328a91b678447657b9344a1423ed538374", "ff82825a04a654ca70e6d460c8d88080ee4a7fcc", "dc72dd4690f4373a7dd14223a53ea4cc16bd5210", "92911c43f91cc93a3357b48bc685ed676ef9ec11", "7d6539d637f919fa20a9261e03aedcf59f92598e", "5f87c992e5572cbab6896c9e86d8ea480e6be899", "ac1d97a465b7cc56204af5f2df0d54f819eef8a6", "b7fa06b76f4b9263567875b2988fb7bbc753e69f", "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "41574bbb811bf5f257e84f121f47d8ea0580058b", "8ade817b8af7a1ad4192f5974454373efd1402ab", "4ccae36f78c660c9fc01959e28e676142c5f8a7d", "8bd42c1bbeeeaf694999295e98ff04e978a3c295", "53c3f71f5ea3f93c33e5d68813f24135cb5ac6af", "36340f697d6c9b64adf4047a38804c0dd5b016dc", "02e4025fd63f168810724156fb6b20b0b14dccdc", "987e12505c837f96db51c844af4416dbba378921", "d06faeabf5bccb8358f225e1ff5b7f6ca080f7ad", "d71a2baecdf28fd946458a34bfbc034681a82694", "d15655bed4257ab86fcef8fd7cfdeb3d920e1bbd", "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "06d028bd761ad6f29e9f1835d6686d9880706438", "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "5161e38e4ea716dcfb554ccb88901b3d97778f64", "f98fdd7f7d95a56af8c8c11298af99c9a6142576", "39787dde76648bea72854aab06a003ff717423a6", "7da3166576ded84d613561e35f4ab7e72e424746", "5509acb71d28a18915939b6b68a2620c07f6cdc8", "b61d4c5f9188b10118b758dbff6634a942565296", "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "56a653fea5c2a7e45246613049fb16b1d204fc96", "f2779f470ff7be49b64289ba52c692e5eed67fc2", "72c9bf19ad6e9a38fadb35ffebacc6497b4acd5d", "560e888d8ddaf61c56a35fc9d20997422579900a", "97865d31b5e771cf4162bc9eae7de6991ceb8bbf", "87a2486124279eea3f7e72fb56e07ba4625a3a2a", "48010474a2888b4a728accb84f4f8ea95a7d88ae", "370e0d9b89518a6b317a9f54f18d5398895a7046", "6b67416a57718e39100f8a0e353930e84ba78011", "314ad104401c78a83cfe8018412b6a2f33340fc6", "9b612900baf8a9f9fbbbded8de37dca9157942a1", "1d5b030747bd836aebf7a00ed061a2f7bdf0a84c", "4e8f301dbedc9063831da1306b294f2bd5b10477", "ecbb05ad1d5ffc9bad3c33a8cb800d3a6d034159", "4d8da08fb2af86ff8974e6e2108c27d152b94072", "fd2e516192b3fafb7519f51b546ddd0004405982", "589b30ebdb76659ce5d3a19cd9fa0e7a3466d85d", "2f576edf6a178a6e16c71d8f67b95bd546edce57", "6b089627a4ea24bff193611e68390d1a4c3b3644", "9d2b597c4bfb9d1c188f37e6e22866786c791598", "6e9862146e7e081429da233960ba0dfa9e400fc2", "6848a0993b0754b27750a78196fa91e3cf2bbebb", "cd0503a31a9f9040736ccfb24086dc934508cfc7", "551a62f43a9da5ceb9564358ad25523736fd48dc", "390ab26ec93606a835ed0a0ab501cf2375c8cbac", "a80d991c0265e6637d8acd3bf75f2b4ccb3c759c", "b8fbe0ef134220bed2a0a7fb583c04734d83ac7d", "053f9b10532a87e346fad281e0be81337cb525a5", "3faedba96bd6b72c6669bdcb82ae0788cdcb3a43", "83cc0768927dfdac32f2d5753cf70ac23b7cddeb", "e00c26e3d16a44baf7be389e94ed0025a0ea3867", "dbfec5e1f8543db1f85fba2d212c17f1f41190ce", "3a3087c03f0403c3e180f47f9001509e852b82b3", "c1d11b94c8fecaed79f97966d4bfa8381d32ad16", "41ca12a7abad12d4372a8c785f2442b4d867c841", "267e695d33c556164983014f1aec1552aa0388bc", "a119844792fd9157dec87e3937685c8319cac62f", "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "6008556d3875927060703385c2cb52486d9b1d33", "73071addca7a387b8cc5762713a10b7347168a23", "288d2704205d9ca68660b9f3a8fda17e18329c13", "9cf3dae2c64f2935b3562364c15eb3b34fe5213d", "9f263e2600712c6fa440a931d72601ce6fca587b", "60ce4a9602c27ad17a1366165033fe5e0cf68078", "de0df8b2b4755da9f70cf1613d7b12040d0ce8ef", "e10f4d5c0e0e294e00ce3a92b2057c4b2a5acf09", "271fbc4c09b3f2eb9f56dc2bbac89262b3bc083d", "a255ed275d7cd6862204e2d45d486bbf21ece632", "c50e498ede6f5216cffd0645e747ce67fae2096a", "361eaef45fccfffd5b7df12fba902490a7d24a8d", "57ff1222a78a230c46fc81f22daa57981b0fa306", "0c9b266bc2573e7266636c88398edf3895268777", "50dde698bf03c295d08a6ec921a3b6f7531994bd", "8468af265ef8c296764d26a69a7d35e6ccd68fa5", "ac61f5e442e653e2503aea85425f0b9dba9f768a", "7aa76166f0a65a144de11e06cb0ed8f1dff2c197", "c618d4d60ce16925d4fdb219a7227d0e3575a518", "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "43b6fb3146cb92bc36a2aab1368d8665af106a87", "245057df7f66fe12e91ba242b275256235e9f831", "3555bdf6acee09ec7eb08b891a0f30b82c1b6482", "049062fae08c8b716fc8c80872fb02a15a4ab06c", "e1cc833f301c42579392f21335b70d0216b03ab4", "601655a17ca199ef674079482c9b37cdf8e094a9", "f5541330741315b98e590e405c96c72bac49d51c", "0a69aec6826546283d1277b0cf933c398fc41e86", "99127b39f7671607b1fc9d862a9af0ce9beedaa4", "43f7aeea3ff5bbcbff6cce387f8e9b6c588e4f66", "6aa0a47f4b986870370c622be51f00f3a1b9d364", "2df8f7b10a3c4e670228cdd4b837fba14c1131c9", "661e215ff688a6bbce73a76e71719416e47e193a", "3dc522a6576c3475e4a166377cbbf4ba389c041f", "9ea37d031a8f112292c0d0f8d731b837462714e9", "406c5aeca71011fd8f8bd233744a81b53ccf635a", "cb2470aade8e5630dcad5e479ab220db94ecbf91", "db35e0d084ac38dae8d80901bdfd5af6191f8a5e", "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "4f10a7697fb2a2c626d1190db2afba83c4ffe856", "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "153fbae25efd061f9046970071d0cfe739a35a0e", "5121f42de7cb9e41f93646e087df82b573b23311", "19d53bb35baf6ab02368756412800c218a2df71c", "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "7c1e9eac39dfc98a54e4d3a80e5734cbfc33178b", "65984ea40c3b17bb8965c215b61972cd660f61a7", "98518fc368d7e1478cef40f5f8fd4468763645ad", "7a131fafa7058fb75fdca32d0529bc7cb50429bd", "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "e47f4a127f41c055fb7893ddc295932ead783c63", "2401cd5606c6bc5390acc352d00c1685f0c8af60", "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "26567da544239cc6628c5696b0b10539144cbd57", "1d2639042b72191c04f0b7928313b8dc2bd4184f", "4874daed0f6a42d03011ed86e5ab46f231b02c13", "4cdb6144d56098b819076a8572a664a2c2d27f72", "c808c784237f167c78a87cc5a9d48152579c27a4", "b35ff9985aaee9371588330bcef0dfc88d1401d7", "4209783b0cab1f22341f0600eed4512155b1dee6", "76cd5e43df44e389483f23cb578a9015d1483d70", "726f76f11e904d7fcb12736c276a0b00eb5cde49", "1929863fff917ee7f6dc428fc1ce732777668eca", "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "95df57cf3e15d75a8526b4fd3212d39538d31100", "3a27d164e931c422d16481916a2fa6401b74bcef", "5a259f2f5337435f841d39dada832ab24e7b3325", "6cacda04a541d251e8221d70ac61fda88fb61a70", "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "f02f0f6fcd56a9b1407045de6634df15c60a85cd", "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "d35534f3f59631951011539da2fe83f2844ca245", "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "85d040c9886d6a966a96516e6c6df1e17060e384", "f917cdd7f7330454e52205ebda6147aa9fdef9da", "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "7fa4e972da46735971aad52413d17c4014c49e6e", "0c65226edb466204189b5aec8f1033542e2c17aa", "fb3ff56ab12bd250caf8254eca30cd97984a949a", "1345fb7700389f9d02f203b3cb25ac3594855054", "9f65319b8a33c8ec11da2f034731d928bf92e29d", "c053e59f0df43980ce7dd6d781f07df0f5b58a1f", "ddfde808af8dc8b737d115869d6cca780d050884", "e36fdb50844132fc7925550398e68e7ae95467de", "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "98b2f21db344b8b9f7747feaf86f92558595990c", "6f5309d8cc76d3d300b72745887addd2a2480ba8", "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "779904cb019c9d622b90948c99aded91cab9524a", "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "c71217b2b111a51a31cf1107c71d250348d1ff68", "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "5c54e0f46330787c4fac48aecced9a8f8e37658a", "c71b0ed402437470f229b3fdabb88ad044c092ea", "352a620f0b96a7e76b9195a7038d5eec257fd994", "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "5209758096819efee15751c8875121bd27f2ee78", "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "4a56d3240a924240c2392c0d5dea8715f6715277", "eb526174fa071345ff7b1fad1fad240cd943a6d7", "db374308655256da1479c272582d7c7139c97173", "313d5eba97fe064bdc1f00b7587a4b3543ef712a", "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "c1482491f553726a8349337351692627a04d5dbe", "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "3901f177642912be3fd132807a1e7d16796d1011", "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "dec0c26855da90876c405e9fd42830c3051c2f5f", "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "6d91da37627c05150cb40cac323ca12a91965759", "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "1ca63ee80e1d8a94a0440c2d777f67bfde4c95cd", "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "cf4e5206722ba16061982b885f8c7c86beacd27c", "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "8509abbde2f4b42dc26a45cafddcccb2d370712f", "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "c5b324f7f9abdffc1be83f640674beda81b74315", "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "606ee88d9600b332ffae5cd7992a817f9aa996af", "ae284bc18eb5e7ebe43d824b967287a5494ed17f", "3e3227c8e9f44593d2499f4d1302575c77977b2e", "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "298cbc3dfbbb3a20af4eed97906650a4ea1c29e0", "986224bad9684c359db7fac2192b7134b855fbe3", "b4367c0792af4fa0de763c17e94a38d9d4e6296e", "5b8237ae83bc457e3b29e7209126f61120fba082", "0abd596e15ed9a814037089bc53e124e262f7464", "c8e3941b7638fa2533693998ccc1ee8765e8e1d7", "ee8466a8bda15534cb862b420a8a51bb333cf06e", "0b99403a510ece40b5b6f50e64921cfbfa936784", "5bf85a60cf7506b0c14d484a2a50f553ae9a45a9", "a7252d74d69a8dee603080eab8371cbca67cc9b6", "2679e4f84c5e773cae31cef158eb358af475e22f", "f1ff567d7400ed7663d662c0b1e0ec6a9b900e70", "115c0e7e1e755410ab19e0c806a84f4439fbea78", "d812795695ea62bd9d575b94e93cbce1101d7a56", "deda217e685a07f5fe6fec5f61bf12cf033e91f9", "1c15e172032404df48ef685d6b1a5536843a7bd4", "8162c57170451331b456dd1d3266d3ef0563a379", "890f9b0e5547c133b9294bd4045eb9b4e1b60880", "a1973e527059171e83f2ef2863a8fc60afedd7b1", "893292315f5ecc73e84c5585900c53072de38550", "e0e511a5d58a8d090ad169be4fcfdbeaef097a70", "1d50e3a90ca7084319e3ae3822e08790fa99654d", "dbcab35c43c78411da8ceba4bdebe69f79308568", "3e421fd1775413bf89abd8e39a35e5e29d1a4dab", "ae541b709702e799afc563c430c96564c3663198", "f20a1f5bce0c76d3d303d9149569c833b738b71f", "c6ea6fee4823b511eecf41f6c2574a0728055baf", "4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f", "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "0d778271ed979ebfb59029647b4bf43c8ba34a85", "acee2201f8a15990551804dd382b86973eb7c0a8", "3f5b20c35f55417823f0201862d85af1f31e9348", "b1d89015f9b16515735d4140c84b0bacbbef19ac", "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "2e7cb40e06e6653027c6eae8353423513a116865", "9ac43a98fe6fde668afb4fcc115e4ee353a6732d", "6c863659540542fa90cdbb73453fdbc4cb3000f0", "bc21112cc91cf7c75bf5ece42f05b24b6beceb30", "7f5b379b12505d60f9303aab1fea48515d36d098", "13b91ecf02ffeb91497b45a890732818052f5541", "84dcf04802743d9907b5b3ae28b19cbbacd97981", "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "3a3e55cf5bfd689d6c922e082efa0cd71cd2ae5c", "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "1e9f1bbb751fe538dde9f612f60eb946747defaa", "57b1bb1c0fa7c9fdeb428339eff52e6627287a24", "778a32549a65265f1aa2a0edbbef0c430e453f40", "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "3399f8f0dff8fcf001b711174d29c9d4fde89379", "d07284a6811f1b2745d91bdb06b040b57f226882", "101d1cff1aa5590a1f79bc485cbfec094a995f74", "ad75879082132a73fe173a890a0f414f2c279739", "25a784f7f8c94c42821ee078587fc38dffcd00a4", "4203f10b41e7931a63598989aa14478c04b725c9", "bd236913cfe07896e171ece9bda62c18b8c8197e", "032825000c03b8ab4c207e1af4daeb1f225eb025", "fce6accd81546269aa4d95a5fee5c2446bacc8ed", "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "981449cdd5b820268c0876477419cba50d5d1316", "6962505b78d0cec04b992a059cc58870c361c971", "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "0355d95f618031ab9282dfbf7a80378fd8b48257", "d83583562f3536d5c13f8ca58925362f6878f5f4", "aab3561acbd19f7397cbae39dd34b3be33220309", "aafeb3d76155ec28e8ab6b4d063105d5e04e471d", "5d9f468a2841ea2f27bbe3ef2c6fe531d444be68", "0aa0e5f96d512fcd2357129ad4363d6ae961327e", "3f607dd67b456e3dfb136c70a3dae369945a6076", "35ccc836df60cd99c731412fe44156c7fd057b99", "19d4b3679294563247c126148912d44cbf03e40e", "657e702326a1cbc561e059476e9be4d417c37795", "aa799d721f75510be236ac73f26ec92b0a89ab10", "5fa04523ff13a82b8b6612250a39e1edb5066521", "48d119442b4ea60afc97b3b247bd9efa6aa3696b", "b3b467961ba66264bb73ffe00b1830d7874ae8ce", "7c825562b3ff4683ed049a372cb6807abb09af2a", "8f71c97206a03c366ddefaa6812f865ac6df87e9", "7788fa76f1488b1597ee2bebc462f628e659f61e", "86842e65e050f8ed621ab222fe828581779fc809", "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "3fb4bf38d34f7f7e5b3df36de2413d34da3e174a", "beb49072f5ba79ed24750108c593e8982715498e", "25ff865460c2b5481fa4161749d5da8501010aa0", "ff01bc3f49130d436fca24b987b7e3beedfa404d", "5fa048bfc3e33fe852cfc3753447a756c143451a", "5c3fd194ba96c5eea41c0772ad0b2292dedcd197", "64c75774bead5c188405fd5c800a4b47103bc548", "0f0fcf041559703998abf310e56f8a2f90ee6f21", "714794c74941e45798d9c405a4fec1138cff2df3", "933d06908b782279b1127c9ba498d868b26ffe8e", "4192454749b4fc4a95348e7260c2f5c56a06cafd", "86f72a4391c3b90a03f8fbbd28d4846947f028d6", "3f4137c23193bd853d8319620f85fd11b591dbf4", "1ffa669eb393961357f9a78b6a9cc71c779a5aa3", "2232416778783616736149c870a69beb13cda743", "aa062fc9d6e986889f44c36e8286f9eb47d525e1", "494a71a5d0df506ea5803d1f4e691d4b10eae506", "b14ff2ce6d9ee83bb8b0f1085ecf30d280efeb6b", "082087ecb69a3b66d9d33c1d38a9e24e248fb9dd", "e6d422a3131508e38262485fbd0baa3cbd03af14", "b29d70f38bd4759cd9d8c2fdc9312f7f807f4fa9", "147fe6bfc76f30ccacc3620662511e452bc395f6", "3d1af6c531ebcb4321607bcef8d9dc6aa9f0dc5a", "4624a22816daf82313f48a978afc7d53ed0ec368", "552020318f81082b06d7ba12f0010e27d360d77b", "aad43bc579a9b1b4e998b8399a820c2c26001506", "f7094d4888e9ef039d283267d310b0673ff0e423", "2b507ea9720402f8b634f8b6bf407f7d73cbbf55", "98eb723145da3b29726e272f61eaeec742eae1e4", "95289007f2f336e6636cf8f920225b8d47c6e94f", "fb51141b3b65d823a4e8c70c9f7bd4a730694b21", "d0bfcf9995fc66c77c06f843b11ef5fcb2c680bb", "1550a1e5e303b49be0ad75ca9c8494c462382e74", "20b7d94df4011cd27e420976216b419890e254ff", "ab1b95677e8ea0f9881520b34a5f8192d141ef0e", "8552f6e3f73db564a2e625cceb1d1348d70b598c", "25bfe2d9fc573c2250ec3d7b084a0d50db06004f", "8298aa4a508a9586e5d54777b897eae64165a071", "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "93afaa8c5fb5e0913e1f2a2de99636ddd30f7718", "26d3f57dd09efff6315ae0064cdad4877f5297d7", "8824638e8077f62283d292804006ce94c92764bf", "1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02", "92166eb883b0505040c2d61c758985e5ec051f83", "6581c5b17db7006f4cc3575d04bfc6546854a785", "95300bce6b4554be7963620e87024449531987c5", "bf4780c028ba42bceb222bde11450672138602f5", "44c019a5e72707a1f4e06c224b530b05684fbb0a", "3149e6206484104959bcd112abb4e448fc35e311", "33c31cba98bda51f923caff75022d13bf62a5d60", "068a7c7849cb6480def2e124ac5a45564e094b2a", "6bdef989bd80d72c620aa9ac4c62c021cf4bd9d6", "33526226231cce669317ece44e6af262b8395dd9", "08d55271589f989d90a7edce3345f78f2468a7e0", "6ee1f57cbf7daa37576efca7e7d24040a5c94ee2", "9c675774d49be7ba428c80142cb63ed4267d3c46", "e989a827fa3b00941410364cd3507e4779bffb69", "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "d94b37958657aa703d8a3d02a66ee251b4c3f597", "834ff8e06ed3f01c10958a276f1526fce7ffd387", "d0441970a9f19751e6c047b364f580c30bf9754a", "9c2978428e35f27a851432dd44f1d2721e0e10e3", "ff601ac3be7d90d64b57b83ad59ede15cd38a929", "2d6130f043e69849fc0443bb489c5d21f933eddd", "149d0f12530a874093a478551e7f04c6641099d8", "64b90c3220c43f58cb38da9af1a1b77da3dde63e", "8de7da01bf4c2643f36dae4a8d2fa04906daff02", "926e02d8d850cb2d08d49b9191ffbe7fa018b5f0", "6abe0a851064e0c5068c37067f2227d53127f69b", "4b6eb9117c1b7833c8c6b95ecad427f8f994f023", "72f6bc80258293bddcca325fe95ce8df36ae6f06", "36973330ae638571484e1f68aaf455e3e6f18ae9", "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "ee8e39c8d3d2b004fe51b40cf7f54549c2f635f3", "3c8f916264e8d15ba1bc618c6adf395e86dd7b40", "f31c9328b5b4678388c19a39064a8056313f7cf4", "a6a5ee9cf956a08510269a674db6a4ef3aece36f", "09da5ae17cf1bf382f69036a96ec953c18f676d4", "6355f7fd956466e8e9f09b297e6cdd155d66740e", "4e9f46a80ffaffa2dabde4fb48d6ac72398ef829", "0adc3ad7c40c475d5878f9bdfeb3c8b59e482c17", "9d5a6d12b39c6574fe284d779d2c23c2800bb283", "4cc675422395ed7dc7e4772280f7c57cac6fbaee", "ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e", "a20922597ebe3706598220009311161179de4a09", "781f4b1732cffc30f315eff94d53965a8fd9324f", "092597b8e0f31be1671025cea1b9fd28a48e04bc", "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "f89e5b1f61b221c7b00db55b64239a28f8ba9fe0", "3b4ec8af470948a72a6ed37a9fd226719a874ebc", "7af4ee644a0b4269a080fc491f443b32d6930bff", "956466b5c3036ada2e18f8f7c1b7bf0650779d08", "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "411278b73afedca6976f02a8d3a38cdec3337f87", "c1d70ce31ad6a8df5e55f256f545fafe0e08b644", "e7d840cf207802918e5b09af0a650b8f38f824a8", "c87f7ee391d6000aef2eadb49f03fc237f4d1170", "7d66daaaf6a52c3c0f26972c10e08423a23f842c", "84f047ff1665f7fdb7653047caf4d43c2c9576c2", "140a587914d1e60f636c1a479c4673631ad78d04", "38b78d785ebcb57027db4abb5d64a31efad34d57", "12919f98aecdd74c1e0db56cba13d107553e421b", "fccd0406749aecf76741460de7499689ebf4c676", "50cbe0eb6ff6fac20629e86056d8d2e7d991ce52", "78c84c76c3f651e13d1d2c804f54f6c6c0096468", "a0303a4d37e8264028808661050c4443b6b880de", "589d06db45e2319b29fc96582ea6c8be369f57ed", "8e50abb8460805b9e5cb7a73b306b6be3a86baf1", "4893ce89df7afde71534af9b9fd5becb947f112e", "61f56afc7713ebfacfe382d1824966cb9b967d34", "a89c12bae45ec11742c50261d6e2505272369d41", "31ab7bb7a1f84553f3a9bc975131f4ec95caaf61", "89198580f18cad7f62393732868a977ffae57917", "21123fde70a1b2614fb4485d9ce786d2cc85a1ea", "35e15c8aa2a3f017462a64b5ef940baf5993480f", "d4b34e327b62b7f3fbddfc403e4642b17245a3b7", "b85e71d4e68588211c877fff8cda267b3a6bb6c9", "e0027a30bef2d84d33eb3d0d62d9ca4806a53230", "058d50af5456665dccda2b41b17bdfead72bdec8", "1608572473465387e4ed7b95936ecf7fbd10513f", "1adbcca753c7b4f22cf3d6bc3a9579573d4d5846", "399a5f7500648462fd8cf1704dfaeaea9d560e7e", "3d5b43dcb9725f469635c54c01f6bc90976b4ee0", "2eef20a11324686099ee6f9b1a7613444b0d2112", "437664a3bc539486f185a39e58d312b9dfbf393c", "1e146982a7b088e7a3790d2683484944c3b9dcf7", "9501db000474dbd182579d311dfb1b1ab8fa871f", "9d6a35541f388db3f4ccf4c457e8ba23eb463654", "c1660197f94786364e624efed4ba03c0d8ab6161", "d75640108db01f7e0706780e6356a0c82c7eaf29", "a66a0349a840e786455ad2741c7fe7c46c9d4ca6", "16f1a35d0149482d6b2b67df58b21b68622e6b9c", "ebe8408052d9bf05dc2007d01559dda6129840eb", "5025a2f2a2d53db48f9504be93358c3ec5261646", "82430878b6ee7a427ac389b51407599909576084", "ac36284cfa95e613f9e726cd017a5dca207fe633", "b42a8f2703867639f7ce68229b0916015878c5eb", "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "be49690e496fbe399a31994570ec4e2146bdc370", "1977d67a8db78d483a25c9fc6ad2ffad8d80c41c", "3e90a70d768415e28fbf0dd56e53f8933784c416", "53b4bfeb851b60d470788d8153db26f4312cd755", "a14260cd8c607afc6a9bd0c4df2ee22162e6d8c0", "01381e2faeb26489ae9c24c84c42df33901cfe61", "5136f69da8a61447a300a50c67d80d84a31b1257", "cfffe8b338cded442280c6435a9eb5f349f0a77c", "16701e3cbd43b52e32d567649a194245dcd31829", "54be7b76110de37a8315bad7a4b0cda3bdaace76", "b76d6f49f97bfff0f49efbd3b50115ee4ff249d2", "7b51e4cf4f38c581d95b2c07457fc9a76058ddbf", "3788a901df4c47d173a992a9622537301765e9cd", "5bcff482bd9652420f8f6b0e6e58ab59a562046e", "edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3", "f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c", "1a2b5b52e4b378a4b8b6f5adfc4a8d5d161ab012", "38010ef51f34353d79d032991b703c1d158a9a16", "c5482c2080ed780094091b9535865c4c4e5a2984", "3a2a4edc0d3573b2d408ccc573bee4aa219c1e88", "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4", "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "88e68073a175b8dfc15d7cb9c8a1baa3ebc119c9", "b55914fe572bd2449234eb05c300b32ad94e97d8", "95be490aef44da67ca1cef76b16df14b6e40c421", "9199c2b8cdad80735651a6a8bb9115c83acae650", "137aa2f891d474fce1e7a1d1e9b3aefe21e22b34", "2f43b614607163abf41dfe5d17ef6749a1b61304", "6462ef39ca88f538405616239471a8ea17d76259", "e6d46d923f201da644ae8d8bd04721dd9ac0e73d", "45f4b0087fdcc17f122cc4f7a9aa19dd51b40669", "6dd5dbb6735846b214be72983e323726ef77c7a9", "ff76ff05aa1ab17e5ca9864df2252e6bb44c8a17", "133f01aec1534604d184d56de866a4bd531dac87", "5b721f86f4a394f05350641e639a9d6cb2046c45", "634541661d976c4b82d590ef6d1f3457d2857b19", "502d30c5eac92c7db587d85d080343fbd9bc469e", "5278b7a6f1178bf5f90cd3388908925edff5ad46", "bcc172a1051be261afacdd5313619881cbe0f676", "353b6c1f431feac6edde12b2dde7e6e702455abd", "0a0007cfd40ae9694c84f109aea11ec4f2b6cf39", "cefaad8241bceb24827a71bf7c2556e458e57faa", "0e5dad0fe99aed6978c6c6c95dc49c6dca601e6a", "46c3b9386d63b483dc113592f587b74168d30eea", "84c0f814951b80c3b2e39caf3925b56a9b2e1733", "d12bea587989fc78b47584470fd8f689b6ab81d2", "b747fcad32484dfbe29530a15776d0df5688a7db", "77cea27494499dd162221d1476bf70a87391790a", "48bc87ccc6b6e2d318f91d5f1886432806fec553", "205b34b6035aa7b23d89f1aed2850b1d3780de35", "d04d5692461d208dd5f079b98082eda887b62323", "e4b825bf9d5df47e01e8d7829371d05208fc272d", "84574aa43a98ad8a29470977e7b091f5a5ec2366", "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "584909d2220b52c0d037e8761d80cb22f516773f", "b749ca71c60904d7dad6fc8fa142bf81f6e56a62", "f2d605985821597773bc6b956036bdbc5d307386", "93eb3963bc20e28af26c53ef3bce1e76b15e3209", "6479b61ea89e9d474ffdefa71f068fbcde22cc44", "53da28434f35b26e5fc3d49824c97c32f670eeb9", "2348f1fa2940b01ec90e023fac8cc96812189774", "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "46976097c54e86032932d559c8eb82ffea4bb6bb", "29122f1861339307f586ef36d9e302c09098bd3f", "214ac8196d8061981bef271b37a279526aab5024", "384f972c81c52fe36849600728865ea50a0c4670", "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b", "a11ce3c9b78bf3f868b1467b620219ff651fe125", "aad7b12936e0ced60bc0be95e8670b60b5d5ce20", "8f6263e4d3775757e804796e104631c7a2bb8679", "a14ae81609d09fed217aa12a4df9466553db4859", "430c4d7ad76e51d83bbd7ec9d3f856043f054915", "29e793271370c1f9f5ac03d7b1e70d1efa10577c", "e6c4715476216be00ea61fc276ff39fb4620d785", "9a98dd6d6aaba05c9e46411ea263f74df908203d", "a324d61c79fe2e240e080f0dab358aa72dd002b3", "ce032dae834f383125cdd852e7c1bc793d4c3ba3", "33ac7fd3a622da23308f21b0c4986ae8a86ecd2b", "db36e682501582d1c7b903422993cf8d70bb0b42", "3e18b439a6fff09a0e4c245eb1298531cc766a72", "93d74b1315a09f568027b6d8b3068ef048d17889", "b712f08f819b925ff7587b6c09a8855bc295d795", "9b9a1f18749e969c8f246894e59c62ae86b079be", "251e386a90f21db6d02806395b012b297cbf06ff", "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "8c0a4d39eb85f24e2052e0418c62f1653ae8cd2c", "4cb31f16e94067ce5eaeb8eae00eb0b0d49d46b2", "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "e5b301ee349ba8e96ea6c71782295c4f06be6c31", "7726a6ab26a1654d34ec04c0b7b3dd80c5f84e0d", "6cce5ccc5d366996f5a32de17a403341db5fddc6", "05287cbad6093deffe9a0fdb9115605595dfeaf0", "78fede85d6595e7a0939095821121f8bfae05da6", "4686bdcee01520ed6a769943f112b2471e436208", "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "741950ae2e503a614f257cdac653d1bb30cb8e79", "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "5c6de2d9f93b90034f07860ae485a2accf529285", "78436256ff8f2e448b28e854ebec5e8d8306cf21", "3b4f114c94b2ce5b082023aadba172fb47c02e56", "8e64d872a419f122f870026179ccbc5daa1645fd", "12c4ba96eaa37586f07be0d82b2e99964048dcb5", "942b89d8d17e89e58c82453de2bfcbbeb09adc81", "481fb0a74528fa7706669a5cce6a212ac46eaea3", "57246142814d7010d3592e3a39a1ed819dd01f3b", "3f7cf52fb5bf7b622dce17bb9dfe747ce4a65b96", "81831ed8e5b304e9d28d2d8524d952b12b4cbf55", "89e7d23e0c6a1d636f2da68aaef58efee36b718b", "ad5a1621190d18dd429930ab5125c849ce7e4506", "59031a35b0727925f8c47c3b2194224323489d68", "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "c697590ddd71232174072c9680adbc7a0b30c84c", "98a660c15c821ea6d49a61c5061cd88e26c18c65", "146bbf00298ee1caecde3d74e59a2b8773d2c0fc", "dce15becf620afd938818ce5ebd793c798782b70", "49fe4f387ac7e5852a78b327ec42cc7300c5f8e0", "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "bcd4e549928260d247f3ca67659a65ffcd429e98", "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "d9358de0d80f4f4d89c91b2b16fd52279b4834e4", "395a91d49e9283e1bf2d61a75c3dc846b347ea74", "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "fd649233d62bf43d589818fbb41295e2d0669aeb", "60a006bdfe5b8bf3243404fae8a5f4a9d58fa892", "14ba910c46d659871843b31d5be6cba59843a8b8", "532f7ec8e0c8f7331417dd4a45dc2e8930874066", "3bf8e4d89b9e6d004de6ea52e3e9d68f6015f94b", "4e21fb066ea5eee04f3e2090bb4348344ae980a2", "ffea4184a0b24807b5f4ed87f9a985c2a27027d9", "0fabb4a40f2e3a2502cd935e54e090a304006c1c", "13907865a97afde053d7bb7134d58a7bbc12043c", "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "b8d4754813b88ef1a583da2fcd164398824d04db", "c84991fe3bf0635e326a05e34b11ccaf74d233dc", "9b1bcef8bfef0fb5eb5ea9af0b699aa0534fceca", "c4b91786a1c7da66e10200195345dd32762be285", "cceec87bad847b9b87178bde8ce5cce6bf1a8e99", "120bcc9879d953de7b2ecfbcd301f72f3a96fb87", "68f19f06f49aa98b676fc6e315b25e23a1efb1f0", "7f44e5929b11ce2192c3ae81fbe602081a7ab5c4", "fec295c6b6a1795d8ccb4592603040794667dfa7", "7b21db9efc3403fa054739921e29aedcc81b1fb1", "07a31bd7a0bd7118f8ac0bc735feef90e304fb08", "bbcb4920b312da201bf4d2359383fb4ee3b17ed9", "cd436f05fb4aeeda5d1085f2fe0384526571a46e", "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "c9832564d5dc601113b4d80e5a05ede6fee9f7dd", "b7b8e7813fbc12849f2daba5cab604abd8cbaab6", "ae8240095c9cca2c395f173fece2f46277b94929", "8813368c6c14552539137aba2b6f8c55f561b75f", "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "3a2fc58222870d8bed62442c00341e8c0a39ec87", "0756efe121e37479157010e18723e0c8da02a34b", "a532cfc69259254192aee3fc5be614d9197e7824", "499f1d647d938235e9186d968b7bb2ab20f2726d", "2d294c58b2afb529b26c49d3c92293431f5f98d0", "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "9c0fd1134aa730c876c4020fc4e54f6e7162109a", "75e5ba7621935b57b2be7bf4a10cad66a9c445b9", "02a92b79391ddac0acef4f665b396f7f39ca2972", "33ad23377eaead8955ed1c2b087a5e536fecf44e", "b1efefcc9a5d30be90776571a6cc0071f3679753", "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "1063be2ad265751fb958b396ee26167fa0e844d2", "5dc52c64991c655a12936867594326cf6352eb8e", "62e0380a86e92709fe2c64e6a71ed94d152c6643", "0059b3dfc7056f26de1eabaafd1ad542e34c2c2e", "0394e684bd0a94fc2ff09d2baef8059c2652ffb0", "61a3c45c9f802f9d5fa8d94fee811e203bac6487", "651cafb2620ab60a0e4f550c080231f20ae6d26e", "f56c407f918cf89ffa2ec3c51c383d53510c10e1", "c610101667a93d0beed6376dc8e53cdbab6f3674", "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "13f06b08f371ba8b5d31c3e288b4deb61335b462", "b7239d619c5ad3d80a170bb33ca427bb4278f4a1", "293c4f086152ae9d635ab1eb84b72f44cb57d129", "9fede7e3fac47a4206a643c4647834e5680f2a8f", "1b510618969a298225764eaee54ee700fefb2d23", "e79aaa36b68cb9e14ab4a6a66028dcb4c79e8681", "228fe0c98a1d331d0dd30fedf282c0d262837f28", "397c395aed9d96aef064b9ceb9f0eae9421eb00a", "dcfcc635b299184bb96a020ac6501e4b14fa0674", "6e75fcf384b31ea2108a81d868fbb886f39cd188", "0e55a3a498cf7df0b980de1980c1e8c36fac1f27", "ab8af4cb5243544e38852bb670aafe5a2fd9b3ec", "d97094aafbcec8e4cb63098b42a7553ffd2cb854", "8a9db3cb799922a7b1642a5b5d7361142de5d656", "fbb3e9903fbcf0b8778712c29459255731342cbe", "d913c573a5ad25098bbca39a0d86e3b65ed4b6a0", "2f5aa539fb27962aa4ba5b264ee503e6921bf531", "4823dcfb0bdc1af20e4da85035b8fc2c71a6add1", "e72c4139e3d2d85915b065f2608f65ebe879b6f5", "07a6468d70dd62ce63a90b1b67651729f9c3037a", "43b7f3d356ae89b3772f3e64d4456ff0f442d4d3", "6d08526a7a02ffa51ac50fab2eb9f794af38539b", "07db2bec3691535ad9d8525b4cd0f230ddc6b384", "049b8821cc1545c3d80428277aaefccf800e7fa3", "544519fa0794d41a04307973156016b6c679ffa5", "2cd9a7eefc126469b566fc429657bb889d13b4fa", "68e4ed4daa2ae94c789443ed222601a4a47f9a45", "21fbcd455db2ed78d47d10fd16ed88b667632906", "7e2fbda3cd115024ad0125806db7dc28fcc22489", "60161c712a491764b6f227d72e9d01e956caa873", "084145b7b828d93a5bb5f5dd04f3ccd003dcd5c1", "20928315086a49e0cdea0ec66f2e78e9c564f794", "f98a975642972ce24e42e6957f63be556c11dd31", "310dbc59aa3309f2a3813728783d81a9f7f1c939", "52df9da94f8b76ec130d5128222ef7fd76304438", "da7ab36f1d14bedf0a3280257342bd1dba9833e1", "2eb730bd36a8960b512297e0a5c99441fc19ca51", "38dcf70922020b81b641ba44ad2424ec50e5c8fd", "ccb83c86a3b27d1663292c34742ce1b5fda43a67", "4a2ba5d7b41ae1d8334c5b8bb1e76ce29e4367ee", "771d7744a78de4a3a7cff09fe05ff7f7e4d15142", "20a2890c92b7ad628aedd25db3384276f0fdaf90", "ee0f601226819c01fc6b6add2e551887473bbc23", "99bde06e7d5191a47f8dfb7b457531cb5721021d", "8b454f38e35e1ee51bd1aa1b16d3d8db5d68fc05", "c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc", "7442f8ccba3a5810ddb4b4d10f51fb93af7895c9", "1cc952244563c61596d58d8f6c339a235fa975f7", "23095c6fc92f41a86f93276d446cfc72c7ce7b23", "a0ff4d516c81189fe0719f03f5caebe31d70e0fb", "e9ac109c395ededb23dfc78fe85d76eeb772ee7e", "1a382d4e436e3e4f3d735f6e34ba2bc61e30838e", "b848eec33ad46861b3148bce7a7e53c7f8dd0db7", "78c823c2b3e6b198eb01dcc553f2e2642d23af15", "74410df341f44f5c915d97725ce396a862d44a7b", "bad7254ae08f8bf1305e70c7de28374f67f151fd", "12169ff906633e486599660ebf77dd73060640b9", "dd829179231c2d7a51bdfaaed25afb7b82f9c9d2", "f3f7df3315fcb8d651efaa85ce59b82c4f46cc08", "acc550d31b50c8d95794dc35dd1e271f979a0854", "1e5c8fded283dd4c305a1e4c9c1fc8e0988f9c01", "a65e953df1dbc007862f8eaa8c12ceb225d15837", "601bed4ec12d11e4230dc715bf871de580f3b917", "89dbfb9b75d3902748d73bfb5965e7d11e83c10e", "65057b96e3c81302caa1d2cf779a3adc8fb5af74", "4bc98553a4c324d6f501b6403c1956fad700e559", "f06b30bf5874ad6168615b4443d011dd44e1ceda", "02a5216a20423bfeda6bc49636e7a6ebfcf8576d", "3877e8c9ccb2d9186d619b7827f1184138d1a837", "b58e71a3336193bed5785b2818a4fec85dd5f5ff", "d7e8672caecc7e4b17e8d9d3cbd673d402c7e7af", "e23707a6978e08f7a2b83d82330b360759a9c1a0", "94d0c0ed5bb9c13c2c8231adfdd9d96cf837514a", "226ecde126cbcefcab78d551be1bbd814738397f", "b691463de5e30e7efd18b9d02cbf83c805834fe7", "2889eba77ec480a175df2a2e8728d73d12b9b790", "2799d53ca80d67f104bef207a667fa12b4c59d62", "765ec537eebe7ff30d0c298fe15b1c3475cbdb98", "c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d", "b5f7b17b0feb3a1f3af60dce61fd9a9c6b067368", "2c49e626d297e6ee26671459a77776b97b5f2c88", "0f708ace6f4829e466a8a549bd23f6fcf719ab9d", "5c669416ecb41245b2525afcf4fb962d8b871ac1", "daaa90ba7248d22d655479431dbd3edf349469cc", "9c2039d036c01e421176d33c1436633d03be4678", "5c81048593a6729b2d0b948a1129a97bdbf82f11", "f0d6c3a5dc85b84863987edc5e62ea8e5549d412", "868d2b757c5bf7583562abc58f5eb756d3bdbf26", "f10ddad356ac9376e8c982f96cead7f6bdee3251", "dda95e28395324aa87027d9692423b3a6f42dd4a", "18625d8895de791f01a6cc2754c9ac50128f4110", "eed1cadc4b739968032d4a94a8629c3bc76e0129", "b0cce83fedd64f46af401e04d15f50f294bc8259", "08779b7be598b6f4e50dfeaba6255631d9476ff6", "19dfea55ce8c6999415cb6216de0e5bd108a4f79", "0c922f8be9f0368c1abd53b8d9554f06b73a56cf", "d3dcdd5bd1592ff8555629068e046ce0741d6062", "12b2ae1ebbaed2e664a028b3d845456061722a6a", "f827c2d22bf74ba6047e265680a48f7279ea24e4", "8faa4f2e287ff1bcaba2e0cd84d82a66bb2982f5", "1f61c1ba961c6328923f4c6219c6889ccb538506", "64fb6c31033e38eaaa10c0f7c2b7995f8fa84de3", "df9a016950ffaaa8526e7332f0a6568ad43d054f", "f87ae55502267f82e031a8101b0efa626f3e6c7a", "5ec7e6b9cf06ab90cca7bda8e7a4b54ecb6859ac", "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "0d49fcaf53ac1f3b5fe12bef92c9035a36865802", "d1a760d034200c0a34aa1dbdaa0620756c2aa5e8", "d0e684f9614ab97a8f4ec47775124242ce493f26", "12fa3c73a7764cb65bb76fed0601fc5d79893bcd", "c132a6e869cd171e403784c172961471733dce31", "b6fd905efd5da32bd32047896074a821477cb564", "3d23fcaec13373c514965ebf50f16939bde19aac", "54389f3952811d03992d0d4b9f7b1c40b37ca613", "79d6d077a543a7b789d42dd10c5e102bbe2cbf2c", "1bb652545b316701faf582d673a98060ee426f37", "4d4a8bb9c47350746fc41b183db422175fea8d55", "f9cf3bbca1598a0309c1395c5a46f17f774f4094", "ee36ec51c08844c63c3faad94869de618cd31cfc", "ce06015fc0eb2add064ef93c9b97ad063c03aef4", "5078c4494a8ba13f568b6cea454cca571c7735a3", "ab6428083fb7f0e7eec46e2c4965c69bf55e5f87", "dff612c198dc50a7bef5a9cd48da5da1f893fa72", "2ba534b20211586708c7f6300e8c2d6ff2245adb", "7e6b11674e989d6a86afda241a51f7fa3790b93e", "d29279725abfae6bffb81e59296443f3d5f7a689", "3a430e576b134df617ff0d148e2d0bc5472b95d2", "ee7a2bf42afba263925b125b3c7de3a2cb7698c0", "46d7f41189c5e262df9ad1165d5a40d2b685bb0f", "15686988df40f5ec8475471ca14a6406aec4c85b", "f8bebca34cc787dd2652deb182cf66d346d06094", "b54224b037fbf3a73873c55b5d67f260178c41c9", "15cf11ddfc046b2ed2766c375e8ad067baaf8347", "6f24906ec9888fd2a2c158794f22fd428c833c6e", "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "1d630cc482f7a261738eb8b3b2021cf27c38370e", "21c478661268d62f32060472b34e7b9f31b76b54", "513674c8bcaf3cedfc934f4e15a07a882c6bbf07", "363cb83220451baa9f785a1fa738e41178e015c7", "ecde1c993f58a4ebd34aa7033e49f3f964b05fc6", "29401a5ad840cfa2c525003815149d62399e91d1", "7e9914314af3b9998b22ec8906544fe7786ce9e8", "081093b0b3195e3f6bfa283b49fee26b606d4f67", "ce4df7862bbf7e70d0052470e4bced479bf83703", "1da28f17e4df1f45056d6b8e76c08252ee909333", "395dadff1eab9c8177f843326ec864567342eba5", "ab036048cf90296171ad2bb7265c5a5b7f3252f7", "f691d38efe4cb8ba6fbd812d54de4098ac992c3c", "27123e0e9743f27fb25e4f1a325a01c89240d0bc", "afd492a598476b5a9b13e2b6d28a76b0707c0a35", "51e9630e2d3f353d43834d06ef5b75fbccf0243a", "32bd968e6cf31e69ee5fca14d3eadeec7f4187c6", "214959c01b73e2d6eb4a39607de6fdc062526047", "4183d1b79d54f5638063e6c59a2a873ee2cd1bed", "3eb5f1d466228c1345d92f906ab31ab93c160837", "85df1c2ed78788699f805b43a40f041813f04f2e", "02fbf86b975c3f45b04de8288d1565cce8b53f62", "11138173fa5e72a6bba314881d8d5dd74c1ac83f", "06118523e79fc6a0f75f05c75dfd95e283aa5eab", "b41d14ca81ab76f8528277e65bd2f57078796779", "ab9d368b2ebcc34e38046de49437b7bb224c5b56", "260081528f19f6f7e8e5ae16a776b62ad8c2ed0d", "0f51f1586edb3437812c8ccc339ce62f98d2dcc3", "1ece9e67cdc9141f3d27102d820ed9490ea57039", "fbd5678f6f29ab9217c09b54bede92887e38329d", "472df520353b3715ee8e5234db01d0f551e6d9a2", "d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539", "af2c7b9adbf898b251d3d5d0659fd21fcd0197ba", "ece80165040e9d8304c5dd808a6cdb29c8ecbf5b", "c1aa52ad21d0ec20102eb5402c60ac91c49612bb", "28bf3aee9eecc2f7a7b4ac71bfe89534d3fe5f19", "90918dfd9d754e1cd07ed6acafec9001a4685ce5", "650f4ccbe7d4aa49ae80e246df394ca6c60894ec", "543119d346faf7c4272811a6338b3ee957148589", "9217dd87274bb6b5ddf9bb403a065822eaf9efdf", "a8a50323fee41ca89940a812a90e817fea8a23a1", "e3c5c5623af4b1a1f719cac24850dcaa6a304bd5", "ce073cb70eec80d87c9e07a4ec2d4162d91e23a6", "22493d8d4d7b4604cae23638dce4981b36e30147", "fdc6715efab69e057d53d782e930fd3e700cc7f9", "6a4f694b028b3d8392cbb185a34e49a657245265", "390cc673792dbf47939f621aef5bb774ca01dc46", "ece02507e17c7e6a5ce4d58f990f3e01c6555aa4", "7c8e64f20b58ddd1fc0e9c972c3eb0fe35b40a6b", "bc445bebf386b769263eed043e982bc1e4755080", "20124806b1bbd5617b01fefe2ad06f1af5717c78", "1fe73457d92f6158847e5e8dd18f040ef7cb3987", "061fb1b627554f52ff8f3ebb531e326767d845ec", "2557e2ed0a19cbe2d78e3d4daa5d39e62be5d009", "14eeb1ed623c7c2be0414c75f696523d46ae45d5", "05603a8742c8fe8545cade27b65bcf8de3e5f43c", "14f55f333c29871867b48e1a9084132542d88083", "b5fabc72ecdebd832fb02f1ea2e85672f2ef125e", "abc618b5c4f69a34c655bbb93c6003cc671b0f72", "641f9c87356c0829e690272b010848242058b8bc", "4953da81a1a93ab3a30152d4403c5e8fa79edc09", "69ee78388e0f40941496ab92efe3e0fa065ad22e", "0437028464aae0237a292bb5317838b2bc6e1ce9", "0b2a3e66aadf351fc3da369c15d7d8a94e0e4468", "1dfa8cce7b8dfd4b954d3fd90bef7bf569c87fb8", "96317a89a479017ac3aec1bc5efe63fa947a70af", "1c80bc91c74d4984e6422e7b0856cf3cf28df1fb", "8f02ec0be21461fbcedf51d864f944cfc42c875f", "3137870bf1314e25c2246d4a9d77d941aadd5398", "df6216785f64c2c191df4d07012cc1a9f339cc26", "069e61934f8104b76b31c1f18d2e9a4f5ec50de4", "2ade545f25f5ba66295aeab3a89583e7cf6101b3", "c9bda86e23cab9e4f15ea0c4cbb6cc02b9dfb709", "e35f4238bbc6c4acf4fce9591fa5cebf64fd0c2e", "9922a2ec8dfb307bb1fcb334098fd912e23b3bab", "ed5519a03f52e47047079da2e0c480eb8c4a9805", "eae83dac25f323f24b0f2f9df1ad6dc47456231e", "7ba6ac1b769ad7098037c07a5b7399fe9d97fcc8", "c900e0ad4c95948baaf0acd8449fde26f9b4952a", "ee815f60dc4a090fa9fcfba0135f4707af21420d", "603bfd8e1230816526e213855c5de172443f9ee1", "2a16da1479ad4d7fb9566e2a8bdc08f45a2a5452", "382e9f1ed5e3e0e7dd5b1f27cdd14e4202044f9b", "754626bd5fb06fee5e10962fdfeddd495513e84b", "31cc32b6e68cde4c38ffed0a8dc6a73d3f1c5e22", "faef5bedb0b1e92730febce4e6af33b803bd463a", "1f5131663f5874f12790fd4eadd893f8b8d2f9a2", "f5f5db54551556418c45ef009cec4647e7d0bc58", "9e297343da13cf9ba0ad8b5b75c07723136f4885", "2af733d1a779e69c62b0b2b4b40d8667702cff4d", "30fe65e38a5822184a463bf0d26a374b5e08d2b9", "cb7bbede1c2eae831dd73440f439955c4310837f", "39ade96e6e680d58a8aaa8e2a72616b706707dce", "bd6158bed42b038863c8ace0c96700e87c1c0231", "df4e31f00c6c27e1a76df1cc539696faff384fb6", "24f1e2b7a48c2c88c9e44de27dc3eefd563f6d39", "82d5656c74362d6c5c5fd889fc48f7816bbb033a", "aaee760cd3e5669dd597f0daf8c50b4da995e7e5", "1e3a9b0cfdeca614c5689a3419016c89bf9fbdfa", "aeb09c11a94a1589b0404b5d14a68cc40fcc0705", "7bce03583d85b307d5b84872e2ff147661a70158", "c571a5273d09d5b63b9af6a8611f6ee8510f1c08", "3e832919bf4156dd2c7c191acbbc714535f1d8c2", "c72e6992f44ce75a40f44be4365dc4f264735cfb", "a9e8c08c69b8752a8afad752ec26a2b3807ede50", "102e97d0793eeba6c065d487ab38bf66108df8ff", "e31f24b92a19aeb9a7611a9ca09223c8f5238ae1", "9b07084c074ba3710fee59ed749c001ae70aa408", "555dba0fcb3c7bafb881a9a17a795c16475ce0da", "2297ead8a0000dab33ebc73b7d5781b3258322b6", "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "04f49be1bba3d4786a2f9d949f5b6ce4b822b9e6", "f9034d80a0c318a8c564ce3aa9d8545d871b9663", "b36b1485cc07df374cf2b01e4797a98da887d641", "9da429ce36afc75f2c457880a9d7129220ac9225", "340a93570291aa3883e93bb00adbad7b0d2a0c30", "580097d2532cfd280abeb17769c2b2963f3eac02", "1f0fe020c9c181352b6f42f893c79dc02f178de5", "37922bcfd75d50b7a500fbf61174ed3151fddfce", "18fd129d0c31ca2d5c8454089d487510cac3f314", "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "fc160770d259eb037fcd48a8e3b476c2bfab267c", "9fb93b7c2bae866608f26c4254e5bd69cc5031d6", "b612bbd751d94996a02b85829e0b2ac0511350ff", "34a0d0cab4fd24b14554bf4d46caf07f2037eaed", "1f7c0d8a5edb749eddd866674f2f8b5d3a409170", "9ebe5d78163a91239f10c453d76082dfa329851d", "0a2891043bf1e74bfbd43b8b4589c3dd172b57a6", "0095f7ea55fc04feb5fbd532e8c07fa281faffd7", "2302933bb19072f2b3381c5049fb15c45e5d52a8", "cc76ddf3335a324436bbcfe33b1d9c158723432d", "9b666e20f570387214926eee542965f3fbe3cfce", "b82058b4bf630d33e129ab097b8cacf6cc3d4556", "0b6314e9e741d19346d936eaaa7d6fcf46dd3ed7", "f6abc5171112c4a2d4273be301e0528a3a0f2159", "1dd3faf5488751c9de10977528ab96be24616138", "dd03498b4e38ac0d213e7c9dbfd75a3b5ac64cc1", "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "05455f5e3c3989be4991cb74b73cdfd0d6522622", "61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa", "f59e2bd58563d03a31e2a3a1a7b309e33f03387d", "984e6ae7d2d018f7947c84b440a4cb9047d8e502", "9fbcce73bc2d28f12764cabf22fb4ebf7b7c628e", "291b227b9ced8468a53870fc382ed13f5cb807bb", "3690af0af51a067750f664c08e48b486d1cd476d", "5527f5f38512ba63d3dcafaa24bba8037a243e47", "00f1cccba86736cb6b6f39759ca6749f819252f0", "4bc9a767d7e63c5b94614ebdc24a8775603b15c9", "11ad162b3165b4353df8d7b4153fb26d6a310d11", "02e18aba47210ddb1b55de670cab2100a23b712d", "ddccc58c84de4ed2051f72f9870f3f958080307a", "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "035c8632c1ffbeb75efe16a4ec50c91e20e6e189", "ede1ba873ac2fa186a8d2f58be6cde2284c65d1d", "138cef9080f213f1ffc7900ade7c0e85ee8e7bf2", "a14df1c3d79966e65e11f29ea09d90446be73fa9", "fbc9ba70e36768efff130c7d970ce52810b044ff", "f65b47093e4d45013f54c3ba09bbcce7140af6bb", "2b5ec4532fbd88f730e542d4bd5ad6dbe163e868", "60e1b0d8682ddb1eaee8f6deacaa7c8dd4c908fa", "7e528ff6b6c6e38aaf4ca01b046523fb23debe45", "59c33ec110a0840ea8a639426b3e11739eff2e36", "dd65f71dac86e36eecbd3ed225d016c3336b4a13", "e7e9a228d1562ea991a31ecdd2c10163a95fe7d1", "e3c8e49ffa7beceffca3f7f276c27ae6d29b35db", "9cdb311463aca8ab3f2619e390635ea42ca02097", "e0590d0705bb0ee7182eb8c45671b142fd37460b", "28e1982d20b6eff33989abbef3e9e74400dbf508", "4ba8be7f84b5eb9cf2078e5503b9ca55f5902add", "be65ca1665e041a8d801759fec9a918ef7ff5c39", "5b7b9dacba6aa8a1967eed630145e77695c75590", "b7e0340688798c8cf684c5d0f2e71b9832d2856c", "aed6af12148b43e4a24ee6e2bc3604ca59bd99a5", "710669a25300eb9d083ce46a643b492eab80b1a9", "fd4b5766a8ace0d89676deb26a098949a96089a3", "f6a574f597daf1c0252db61eb6ed8cb369b6851b", "e5799fd239531644ad9270f49a3961d7540ce358", "3ce37af3ac0ed2eba08267a3605730b2e0433da5", "0671a41b780be540ace68c2db654544508e29e49", "07e5bd5d3830e55dc85677821eea8256e252f966", "1860b8f63ce501bd0dfa9e6f2debc080e88d9baa", "e43a18384695ae0acc820171236a39811ec2cd58", "9c75db3d0abcccef5113db7bafe2fe5ab0559dab", "d413ab304bd3e6c6e41f2cebf8b0b20edcff3b9a", "7334b3ade39e3bd826bdd9bdae73d176e4a02caf", "faf19885431cb39360158982c3a1127f6090a1f6", "ccfae6f7458391fdb42170af6abf1b6840cfe88d", "b039e95a998d3f0c29ba06aacb0bbef3a02b551e", "b5050d74dd8f0384506bcd365b31044c80d476c0", "d5488ccb99a3e7adab37d5c7ea05b163bc717d07", "305887fe0fce91470c6cb042616cb36486dc0e3b", "fa72f77519d4e48d9dbb1f47eafdbc9bc4c824bd", "974b32c4b74cc6a15f44cf8b5874d6f20273b21f", "7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0", "5f01f14ca354266106d8aa1b07c45e8c9ac3e273", "5adc2c8fc8c851a7e14665c581328c7e5cca0c00", "58192249cc6aa7b21ef32685f610585d5782544b", "d9bfc8095bfa604d90e1cb8c878ab844c2f89464", "33d30ab798e518eedbebe7e7569737362fdcefdb", "2abc43c86b206fcac256aed478a37a4003ada602", "218ce079b9e64288faf20a87043dc32884105102", "c46ae522b8cedb68339dbb8fd9c1fa3b2d676f8e", "8e88a651e7bc9d200fcd7af0ca93690e0929f469", "13be4f13dac6c9a93f969f823c4b8c88f607a8c4", "6cad008ad80081dc42752e813ee6924e3c174dc7", "84f003d3cfb093b0cebfa3ae8ae5f138a5677558", "531b50e7b829547db9ad143d232bc07b1a64e3e3", "66886997988358847615375ba7d6e9eb0f1bb27f", "a72a882fff54c34a5fcabb4bd32c03689544e683", "d3409f66d35f5828affda26fc3416771eb8154b1", "c8af2aec7729fc64d01773a9f603ddadf8d88525", "0aa303109a3402aa5a203877847d549c4a24d933", "bd5fd0b8dae02bec7bbb286f804b4a7b0c4457f7", "7da069849066a55d219b9e5b043fb4e07dee2652", "f7c50d2be9fba0e4527fd9fbe3095e9d9a94fdd3", "9ec3a2af6cbee57cd337b5f46a2792aace196e78", "26e118084d09771bfb996628a7569200100bff1a", "46a01565e6afe7c074affb752e7069ee3bf2e4ef", "88b02b654a0206e47979618ff95697f4cab7f6a1", "d65ad3e9293bd1dca1b137f8b81f18e201e76c3a", "ae8febda8de382422962c4ff73f87d92c5e029df", "7dbe77557878f9a2ac65c253256d498100711a10", "5f1019f26479545a6f2f9c364b995579e283d2ce", "d71cefc30269feaa1de3e330b472a7dc66ec95d3", "601c9ac5859021c5c1321adeb38b177ebad346f0", "06d4379308d2716a866fc2ca583e4f2a33fa9f4c", "50e6d9ece3ddf145252484d04984bfc86ce58db3", "f7bf5b6b4c45a1df022c73a234a65ae77a3eab4a", "418f96729f68fdd5a8e206248a2fe180672f9de2", "0e815b773e480ef20a680dd35cd72ab26a141d2f", "8e069b2447751a2ac44056203a47fa97ac803e4b", "b9b5bcd2fe579766074eef40ffbea0b4f4cc2283", "4e2ad2fb548e9197feed11f03ec4741ebed81d44", "c8654556a010a86b8eec681b290a1d06597c6202", "57ef0d30fac07e1fef3346838a1dcc8f4eb9f315", "957fb0bfee2b28476b69ea13f4d594efcb011cab", "179ca4195c90e032aa1e052bf6dfea62095e1006", "589cf8d6e4d6dd7372b469814d4e369f318a17d3", "9f1b39e8d157b74181c666e85e5d55550d762409", "2fdb3576715829aa9bbaf74825236bbb71d06f1a", "16e577820999e584c787ec611f55746cf9147518", "b80f2419d89937ab6b8c4591fdf72239875ddbec", "4c438728464f3d81d975c78aa0d7ed01088d2435", "df4525d7d99f7237c864adbcb2dab30d8f7447e0", "33e430001ae882bdca340485346d4546295501d4", "cd1347c9bdf48198dc0e323b8d579b8838df6fb5", "0443b7a4372fb7bdcd69a0b55945f937c8b7d35b", "7f02f790f320194d5eccf7665066308e46f5d0e9", "65e9f360106dfbc8fd3c4a631e14a22535dce421", "e5b4700a615cde23b91be3eadf1c99642cd33e42", "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "16a2f42edb98495bb9b766c56a05edcd2ca4ef03", "5c9c153f705a02e157adcf49dccf4f1eeb70cf93", "586f7cafee0456c25e850dcf42b38195a8a80055", "51319bb12c67fb5b11cbf2012a7e2059718b52eb", "1e41d1d24200ba830285b2526735e147f2e64640", "52a152b985b298be4b382d0b6045e31f43850c6f", "de1aafc4f737d17b211fb84b80bace40f82c148b", "df1cd65bb206e7e2039436381fb5290b0fed496a", "097f482c548075305b5866d7d0fde7b67c30c52d", "0a6a173a1d1d36285bae97f98f4b901067d40097", "b87237dc91cb8459723ca8e3c6999f39f010481b", "50f3209d022d1ac185237425a3ad682d2234c1ca", "d7cbd030b282a7b0fe397df04a6a3c860608982f", "6f90c0330a54d836f63d3b8e608193d26335dc71", "7bcd98ee2df3d14eae7bbed713208cb7da7b5db0", "42505464808dfb446f521fc6ff2cfeffd4d68ff1", "bd104ea0561755c6c0b963ef9e1126b21f44abb2", "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "04d08f834da05dec5494fc599d48ceccc992179e", "da59f4fa6dc73b2b8b041e7d4e0e7f121297658a", "40229a034d2fcddc3df32f906ec4ef6a3b3e017e", "751223e9636f4624551b37d8891f0e06eeb64a5d", "64f6c8c333bc043d41b83b6e62fbe3a521882ec3", "4562904c57a9184d9fdfab8a534a82484bba8e4e", "4a3d96b2a53114da4be3880f652a6eef3f3cc035", "19089ecd35606445c62ff4abaa26252f44dcda89", "17efdcdb40094119f1144252b3670356aac9ae4f", "8ee11bf054c0fccf2949357363987768c8893d34", "3b60520684aaf944935b39e20a8b31063b27a25a", "400ad65e42cc438eb7a587cff750648eca91d513", "09ba6b87736fa29aae88c5b4cf30f25188e4c6ef", "548d25088fd4acf71764f9c5d0c01901a13e6eed", "92799a9754a9481e3e90aa59dfe56e9b21b70cfc", "2ed9a69ee6509c0b3fe5a51d1116dccc877653ba", "ac86ccc16d555484a91741e4cb578b75599147b2", "dd320b262e7891c6e51b34e213aa0ccb14af3ecb", "7b9b7c42151c11c7cd170a528412a84b5ab626ca", "70755fffb5e42b10bc2aba2446ef2063af92da96", "fb3da9b47460eedf857e386a562cc5348d78d544", "bec26ea7335ed723a1c4360d6365f2dd846161e7", "3a415f3fc013bf3d045d9a45c7ed5d83996f4556", "179ae598004d76c56dcc95c5aab3419ec8996af1", "d7c279661dcb2c83ee63f149db3be7f0771237f5", "4da3b3888a74365fead3057f34d986c0a439fb84", "032707da24e5486d0bc319259ae8a8409a19a2f0", "cb124b7019f6c1d2b25d8a18a51d78cd12b511be", "24ddb628035b32fe0b412a11b09512b4612d8fe0", "a4bb791b135bdc721c8fcc5bdef612ca654d7377", "7a7b84b8d8c1edb07f16180ef2c243ef30d85e1d", "b4a09b6a7c78c3d54a0ce59ae3ebb6d4ebfd7d06", "22f44121a6de3ff942c5fbf4ab1d6734315baf66", "af9bca1ac3900182afae03f500618fc40da9ff87", "047f8d5d5134dd12c67038623417f05ab9885056", "da1ba46027b7236c937d276fb54e99906036c4ef", "03650399cbf53d916d10a507852c9e94a02ee13f", "6236962ce0d627fc23774f0680e77069b9667803", "b8556e7ace156cee0199c057c5bf6eacaae45e7c", "199d4e49f959a6d77da6054ddba7ea328d5acbb4", "8bfec7afcf5015017406fc04c43c1f43eb723631", "a760ce8baddf2da7946d2ed6f02ac3927f39a9da", "59b2edf39e0490892d8865b8252bd7f11e2b2228", "6372262685162f3f11ef7ac1882c327e98564875", "04b29b6f1210f4309f3d5ab9e6bd2c8a026ce244", "5865c3aae2125e1078d3d1b230e7206dcada16b3", "97a611717ddcb13a6fb5f19ebbc96dd005ed4887", "5c9e708d60db41727ebc2174bcd99fe838c21a29", "0c79485f64733bd128ef8c395034b6bc77abf94d", "639937b3a1b8bded3f7e9a40e85bd3770016cf3c", "0eb7a91ff9ce61ff22a7e410934402f0b70fd8a2", "74dd7f66c26219901e8937910996f0003fc718c6", "d0500d15ee605ae404d4a8d54dc38ed5b39f3832", "e224d8fd66e3594cf27bcd06cc2ed25fc4419b7f", "827f6ddae388c9ee727cb7d91fb276f774ee4cc9", "ac2e44622efbbab525d4301c83cb4d5d7f6f0e55", "33867c617e9f264c9e857d73358e0fd5b60a149a", "4115652b7fad7a474b5af1f4c063b1f9717b1bf8", "1328c0a8a357b303f6e853581360370ef2975612", "c6badb2cc1191f9dd5e5bea7df75a76349176d01", "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "3d53493916cdf49ba29aebef955ab6b32a05762f", "2aec012bb6dcaacd9d7a1e45bc5204fac7b63b3c", "beae35eb5b2c7f63dfa9115f07b5ba0319709951", "1ab7d8da096c418c0bf93de14d128eb008a92db4", "02977d45f759bb913aa9fd32f415e826b788ffd5", "f3f65a8113d6a2dcbc690fd47dfee2dff0f41097", "cfb1b2006d24a81bc3f489ca0eb391e7f03788d6", "2c7c3a74da960cc76c00965bd3e343958464da45", "646eb6e19d2d0c858d71d3d810f4642cfaa130c2", "fd4fab290541b621ed27773e191472b0dcb225cd", "630d2c5b60e28ff8710f415a8adb7a73f8162d9c", "34ed02e82e9816e7491b1af9f6f65d7fff87ff84", "3f9210830e31f42103c6550f75cb37fde18e5af1", "fd8168f1c50de85bac58a8d328df0a50248b16ae", "b63246b95d5711486ddec96c214316f885a52b18", "6efa147457e1ce984f6418d219e14d94ef6cfbce", "761f2288b1b0cea385b0b9a89bb068593d94d6bd", "bbe91ef3ec4303d77a3847aa18fe5d9ef2739566", "0f03f1bb36fc1b3ce49d777203961689456b311b", "037aeb661eb8018ae8dd92cc0b4029231dffc60b", "7697c8a0eea8b4f7e9b5c3378879cf34ba6d79b3", "31bb49ba7df94b88add9e3c2db72a4a98927bb05", "951b133220921ce04e9da9d189077124be2b9af1", "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "88af2da57863b60ddd3776d61113b552e827d3b8", "e934a2ea5d56284b41f4c9d791dd5f77541ae1ef", "773b8f5efcc972676784a572d1217bc9d9b2a5a7", "c4b878bc74921dbc8f6cb133ce6bffb5a50668ef", "2acf7e58f0a526b957be2099c10aab693f795973", "587c47130af6b65c30861a18fbecab66aa0f9ba6", "c5b2d166f77f072dfbbbd538729bf7ac11f4094d", "4c6cc339d1ef9cedcee85ad4bab0ca687ef39bda", "44241248f16c172a1c2fb90e48fd728ba26220fc", "a1b6aed0b998f0e6e049fcc209287c8b2801d054", "0e677f2b798f5c1f7143ba983467321a7851565a", "47aeb3b82f54b5ae8142b4bdda7b614433e69b9a", "325d5606c874bfc3b652d7924e2d7bedcca3d96e", "ef57b2b689cb91e0c7f9f9a2691c340349d9b2d4", "ce094eb72aa42dea87ed9ab531ea31aa0a9561fb", "ae2ee60219d63475c56fcb6c3f2b3664b3c4dbd9", "4e6e5cb93e7e564bc426b5b27888d55101504c50", "438b5bbeb86d31bb4ce32962c735af098d035a79", "820b0a63599208bca29c6d2ceed4bfb38e8860d4", "a6075b621cf11b967f1cdc64de854ff96dc04f66", "eb02daee558e483427ebcf5d1f142f6443a6de6b", "4189b1e61a4f244acb05b34c46628b7e78a8b8cb", "55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c", "117c7cf24b9310ed785ef6fb84e95c73186f61e6", "004ec53d1f12cc4c0a7c809bf3b7acaee2180fd9", "bf1ebcaad91c2c0ed35544159415b3ad388cc7a9", "22b1b97a0722621ae72fb3b33f76226b73549ea1", "7e52732900d509ba38f5a65408d800c6dff94157", "e351beaa000aa5875d00fef12eb14e1cb91530bf", "033e517804afb183a32a5b916e79733968a468d7", "79b684396347d916c4a488f2024212ec9f4eff0b", "ff8315c1a0587563510195356c9153729b533c5b", "792928e5e539dfbba334c36bee337449c4918d6a", "ad1679295a5e5ebe7ad05ea1502bce961ec68057", "9585dabdb01406684c516f07aba686fef77edfa1", "4ed4143034fc6303737c7ad5118a72d9a5d12cf2", "099053f2cbfa06c0141371b9f34e26970e316426", "a5ae7fe2bb268adf0c1cd8e3377f478fca5e4529", "6d60c427036e63957f1ce72930146964c5743749", "4104eccb9288a35cb3d00e29a9bf0d6282608d4d", "46398e772f13492d9b9db642d7dad3d904054b07", "0676f7586319d5feeb3fc64137bf49aa75d6b2c0", "c521e8efdfd4a70e1987dbcea28507cce1bc2637", "da23d90bacf246b75ef752a2cbb138c4fcd789b7", "18aaeaba26d95482fc40d560c49f0a7f22ea0870", "4e5be940b2b58247fd90552b4a2a72b841ed03e1", "b88771387d5c0f09ea9a2ccc743b11471fb257b4", "ce3304119ba6391cb6bb25c4b3dff79164df9ac6", "e9a3399f3e8c28747db0fd418c5dfa1cef5c9243", "e2643e9e6d2536b6a6d2a843f40ec601fb87221b", "6295f5a59c528953f282df71e4d0646ee2b4b50e", "75d7356d26995263dd035959709991e597c94b5f", "5f676d6eca4c72d1a3f3acf5a4081c29140650fb", "e054919d68b963bf484b5c9f5c73aa834018736b", "449b87347fe7f9c3f17e969fab1617fbfd9ccb1b", "673f17802bb99766407c70804c17357c3c448b6f", "47662d1a368daf70ba70ef2d59eb6209f98b675d", "7a7b386385ec5a458c6d45f58c399941c2f054d6", "1330847470ccad3d47a09c70c76de2913f414695", "6ffdbac58e15e0ff084310b0a804520ad4bd013e", "a0067d23456c74d4bef5a8bef5bbe3c92e29c314", "f76a04bdc43f1e440b274b299b07ce2e423431e6", "4fac09969ee80d485876e3198c7177181c600a4a", "25d514d26ecbc147becf4117512523412e1f060b", "f4af5f676a5f2f5f66023542eed6f27b63265491", "026b5b8062e5a8d86c541cfa976f8eee97b30ab8", "54fc3551b3b08767d5d731092f10ba4573a2c822", "4688787d064e59023a304f7c9af950d192ddd33e", "fadf0c7271c560587172144d2f11cb721957b219", "fbbb73b476639b89b5a0f400251fe33c4fec4f6d", "45bedfcb562e48a64436ea3131bc91098eb93dab", "77eba8289e257df835e16ce8e0919acebd02f7e4", "5431845cc36d8d0fbd489e6921a341fe2e654246", "eba31ad9871c6dd5c2e7c62a121bbb417dcb1223", "3acfbc2aee9b2ed246a640930ebc2e350621f990", "67af3aed0deb70eb0fcc089c47f15adfb8f637ee", "0d2a9f3357717e0a44eb82d5eabfc047cc4d46f1", "f294278e03868257bfce132b8cf189359ada915a", "9ff1a4754391a5cf91c998eeaf75b93a4f5f2451", "4b5dd0a1b866f928734bc36afd597adca20a7ec1", "28bd795c580ca24f40dc82cd01d9d277749d2661", "9f1319162974cb4d6125e8c6c52878ebc48eb8a7", "483f85e1ebef9d10a951b3c01751892aca92a2c2", "7f6a527a3dc2e526aa59a57cadb20ff727124973", "7b9a5d9d7386d47c51cb473f6338988bd6e9f2b1", "63c7c0511e82172b6b60af21e56df68e2c6ab228", "527ed756eba3bc77eb58d22d4cfe27da04d3bbbb", "787c1bb6d1f2341c5909a0d6d7314bced96f4681", "08f6ad0a3e75b715852f825d12b6f28883f5ca05", "7831ab4f8c622d91974579c1ff749dadc170c73c", "9151f8f0af49d8c94ba6f6ca13e9399beab7ecd7", "a34582457b10b3627c853002c85afb434ac8e9ec", "d781a60f7090222631c555b87da02ced570caabe", "8d2d27753d316494574c4e8ac51190921e0765bb", "4793f11fbca4a7dba898b9fff68f70d868e2497c", "60ab5c64375c4f5f8949a184fd9bfb68778ae6ea", "acec6d7d24e07fccd1a2ef3b6268bf3f8934f7ac", "65e19cd4f848451758f23779fd86ba7f12f18ea0", "2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d", "7dc62564a31cde5f581df4891785708eeec65d2a", "891dcefdcc89a6e5784393d5ec550ecd75ce1cda", "35457de70ea13415b8abd3898a4a83021946501f", "720518359b98ffda2c0eb6b62a2a18d9b47ad5db", "af057d399c41910aef723cede855ff15216df303", "6b43bd8eb478d9f3b4e64907070b93b4c70750b3", "0185bbb0f45bea11210689543fec253e87abde82", "5aae9e5a7a1083fda72023dc2c34f406f4cce866", "0f92f0cf1fb1d37f7f723892976ca61419768995", "4a7facf4bff5a2e14f59ececaa6bfe75d04f2171", "08c66211b17a0ac7cad53995b15b0098cad8135a", "9bd8fe15e5f6ac46e2815d1105f64aba1d8d76cb", "4563b46d42079242f06567b3f2e2f7a80cb3befe", "6e173ad91b288418c290aa8891193873933423b3", "1f3ae376b22136a2fe2e96632d4383653a42e4d4", "ff946df1cea6c107b2c336419c34ea69cc3ddbc4", "242ae7b1b1c3e1aafcbe9cef3cb23918c6f94f2c", "45c31cde87258414f33412b3b12fc5bec7cb3ba9", "0fd1715da386d454b3d6571cf6d06477479f54fc", "72d110df78a7931f5f2beaa29f1eb528cf0995d3", "a703d51c200724517f099ee10885286ddbd8b587", "5db075a308350c083c3fa6722af4c9765c4b8fef", "35a39c7da14b1d288c0f9201374b307f667d63a3", "82c303cf4852ad18116a2eea31e2291325bc19c3", "72160aae43cd9b2c3aae5574acc0d00ea0993b9e", "b43b6551ecc556557b63edb8b0dc39901ed0343b", "adc4bc7639d5f1c5ead8728882e2390339d061ed", "72a3bb0fb490355a926c5a689e12268bff9ff842", "0eff410cd6a93d0e37048e236f62e209bc4383d1", "43fca653880f4e4d238c73d864e964475e4b90c8", "7918e3e15099b4b2943746e1f6c9e3992a79c5f3", "cb8382f43ce073322eba82809f02d3084dad7969", "b2129f9f04dd026a8e2c07b1c5ef51ce5046c781", "02e668f9b75f4a526c6fdf7268c8c1936d8e6f09", "0b0eb562d7341231c3f82a65cf51943194add0bb", "05c91e8a29483ced50c5f2d869617b80f7dacdd9", "8f99f7ccb85af6d4b9e015a9b215c529126e7844", "42e155ea109eae773dadf74d713485be83fca105", "363ca0a3f908859b1b55c2ff77cc900957653748", "e0cc2a9fe6b5086c55fdbf0021aca3dc1a77a1ca", "55c46ae1154ed310610bdf5f6d9e7023d14c7eb4", "5ce2cb4c76b0cdffe135cf24b9cda7ae841c8d49", "88535dba55b0a80975df179d31a6cc80cae1cc92", "15840cd73e6df528d077f3b64c0e88c7cc4281a7", "40c9dce0a4c18829c4100bff5845eb7799b54ca1", "fadafdd7dedd2bdd775b4591a998c8b5254081e1", "e7906370eae8655fb69844ae1a3d986c9f37c902", "50eb2ee977f0f53ab4b39edc4be6b760a2b05f96", "142b0b0e30725263122460539cceada4d33833b2", "3006988730d2e798e58b5081a50b7f0d43030c9c", "32df63d395b5462a8a4a3c3574ae7916b0cd4d1d", "f59c58b446e3f2eca4147241a64c051311a7c57a", "205af28b4fcd6b569d0241bb6b255edb325965a4", "91d0e8610348ef4d5d4975e6de99bb2d429af778", "23ecc496eaa238ac884e6bae5763f6138a9c90a3", "5c02bd53c0a6eb361972e8a4df60cdb30c6e3930", "27289ad80d685bdb38823030fb73a5b894ac4cba", "37ef18d71c1ca71c0a33fc625ef439391926bfbb", "ee6e4324123b99d94a7a23d9bddf026f39903693", "838a4bcfeb36dc7bdb4a38f776fc0a70ce8ae9f0", "5042b358705e8d8e8b0655d07f751be6a1565482", "43bb20ccfda7b111850743a80a5929792cb031f0", "3749eb18758e0f8e97b086e6b36a98fda6e6f945", "b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807", "11f8d0a54e55c5e6537eef431cd548fa292ef90b", "7c119e6bdada2882baca232da76c35ae9b5277f8", "27cccf992f54966feb2ab4831fab628334c742d8", "0cbc4dcf2aa76191bbf641358d6cecf38f644325", "70e79d7b64f5540d309465620b0dab19d9520df1", "f740bac1484f2f2c70777db6d2a11cf4280081d6", "0322e69172f54b95ae6a90eb3af91d3daa5e36ea", "0708059e3bedbea1cbfae1c8cd6b7259d4b56b5b", "141768ab49a5a9f5adcf0cf7e43a23471a7e5d82", "61831364ddc8db869618f1c7f0ad35ab2ab6bcf7", "cfdae1410575937f8557cbd379a6232974128d63", "64102c217cba63a89cd2227dc4b3a9ed2104b73e", "f4465454811acb2021a46d84d94fc88e2dda00a6", "fe14d8177cbdb7e5b4085302e6e044f7a4c19cb2", "4c1249da3de9f31b2280af171e910f02e7ca5153", "4c815f367213cc0fb8c61773cd04a5ca8be2c959", "924b14a9e36d0523a267293c6d149bca83e73f3b", "57d37ad025b5796457eee7392d2038910988655a", "4414a328466db1e8ab9651bf4e0f9f1fe1a163e4", "e496d6be415038de1636bbe8202cac9c1cea9dbe", "ecca2a2b84ea01ea425b8d2d9f376f15a295a7f5", "9e99f818b37d44ec6aac345fb2c5356d83d511c7", "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "bddc822cf20b31d8f714925bec192c39294184f7", "aac900e572423cd0f10ae22cb87f610cdee607a7", "c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0", "8c37bd06e1a637c6f249dcd1d2c4bc9589ae24b3", "a75edf8124f5b52690c08ff35b0c7eb8355fe950", "bc866c2ced533252f29cf2111dd71a6d1724bd49", "fc0897608840ed17f862dbeb8f32540adbda359d", "e7997e1d0c199f810a16d71f235e8c95ce9c1353", "bd0201b32e7eca7818468f2b5cb1fb4374de75b9", "e59813940c5c83b1ce63f3f451d03d34d2f68082", "9c2f20ed168743071db6268480a966d5d238a7ee", "3c7825dcf5a027bd07eb0fe4cce23910b89cf050", "e3a70f8ee84af6372b482c0b8b6e8e553dd0e1e5", "948f35344e6e063ffc35f10c547d5dd9204dee4e", "bf4fcd80083f3145176b64d15bab78456a7e5e43", "be8c517406528edc47c4ec0222e2a603950c2762", "f1d090fcea63d9f9e835c49352a3cd576ec899c1", "7825708552c86079d0d11f48033ced391c0754ce", "0ec67c69e0975cfcbd8ba787cc0889aec4cc5399", "e8f4a4e0fe0b2f0054b44b947828d71e10ec61a7", "03167776e17bde31b50f294403f97ee068515578", "0d9815f62498db21f06ee0a9cc8b166acc93888e", "7887824e9cc42914165dd3d96b956bff7560e4e4", "638e0d6f9f5d714d8a0edcf65297e8735b30db71", "97463b5a0fef72a576367f55d46aa3eb7576ae01", "5642bafa7955b69f05c11230151cd59fcbe43b8e", "383ff2d66fecdc2fd02a31ac1fa392f48e578296", "d0a21f94de312a0ff31657fd103d6b29db823caa", "96ab0367d0112b6092cc130c330c8c11c2eb8238", "4ffd744a5f079c2d65f36e3ee0979b978f522a13", "5911dcef05ffec02cc1dd88ec6feb1f1e0e8bdcb", "4e4a47e2d285e55f3d0b6d449d6b9893615db5cd", "2d2fb01f761d21a459cfb34935bc47ab45a9913b", "857f33a90e843569f3a2b7537f1783c4c3f2710c", "41781474d834c079e8fafea154d7916b77991b15", "3f63f9aaec8ba1fa801d131e3680900680f14139", "d9218c2bbc7449dbccac351f55675efd810535db", "3e76496aa3840bca2974d6d087bfa4267a390768", "751b26e7791b29e4e53ab915bfd263f96f531f56", "7ed5af241061a6d88e0632a51a91d59627b00c34", "29c7dfbbba7a74e9aafb6a6919629b0a7f576530", "5821ef33b714c76337e9d1605bba3a578061d1a9", "a1a5143a962ab3dc6f2a0d5300cde71d9f087404", "e4d0e87d0bd6ead4ccd39fc5b6c62287560bac5b", "dee36d438d7dcb5923ab63dfe1e8676726dd4d69", "a125bc55bdf4bec7484111eea9ae537be314ec62", "2a7bca56e2539c8cf1ae4e9da521879b7951872d", "c2c5206f6a539b02f5d5a19bdb3a90584f7e6ba4", "1b79628af96eb3ad64dbb859dae64f31a09027d5", "6ee64c19efa89f955011531cde03822c2d1787b8", "d8bf148899f09a0aad18a196ce729384a4464e2b", "8b2704a5218a6ef70e553eaf0a463bd55129b69d", "58b8588c01196070674ceabe5366b20f73c2912d", "561bbc758f995894f43351b4267abf9748890705", "f78863f4e7c4c57744715abe524ae4256be884a9", "b050587444b41292b046bb6ef1e92d8c09a26760", "1cb6fa2e58cbbd4b289f5d897be1416e90d886c0", "332b1250eb38575b4768bb6036369abc1d48ea25", "f781e50caa43be13c5ceb13f4ccc2abc7d1507c5", "a92e24c8c53e31fc444a13bd75b434b7207c58f1", "288dbc40c027af002298b38954d648fddd4e2fd3", "6ed738ff03fd9042965abdfaa3ed8322de15c116", "6345c0062885b82ccb760c738a9ab7fdce8cd577", "fa9610c2dc7e2a79e0096ac033b11508d8ae7ed7", "4aa8db1a3379f00db2403bba7dade5d6e258b9e9", "79fa57dedafddd3f3720ca26eb41c82086bfb332", "f8ec92f6d009b588ddfbb47a518dd5e73855547d", "324acb08d73ebad775f784dae3434c43a898e46a", "3a6334953cd2775fab7a8e7b72ed63468c71dee7", "8ccbbd9da0749d96f09164e28480d54935ee171c", "48de3ca194c3830daa7495603712496fe908375c", "831a64f59944fa05f023288f284325429026e4e8", "6d618657fa5a584d805b562302fe1090957194ba", "858901405086056361f8f1839c2f3d65fc86a748", "9faeb2f8cd7e1deac432ab8e4294cd504976a293", "10550ee13855bd7403946032354b0cd92a10d0aa", "41f195f421b548357088c2985077d6b14003ce7e", "7f268f29d2c8f58cea4946536f5e2325777fa8fa", "b6c00e51590c48a48fae51385b3534c4d282f76c", "3f4bfa4e3655ef392eb5ad609d31c05f29826b45", "ba09dd1844427cff803082dda7366bd966456932", "a35f0515a98a4f37a14a4954240ba09a91017730", "6159908dec4bc2c1102f416f8a52a31bf3e666a4", "6b4fec3211b86abb89cf0d2d8b8454e63e9120d6", "4d83a25931ff8f73130a4d07e0209fcb3191db4b", "bf1e0279a13903e1d43f8562aaf41444afca4fdc", "bcd00d9a2c97db0f9970a57f51dc948822a9b854", "3fac7c60136a67b320fc1c132fde45205cd2ac66", "405cf40f3ce74210f7e9862b2b828ce002b409ed", "982f5c625d6ad0dac25d7acbce4dabfb35dd7f23", "339937141ffb547af8e746718fbf2365cc1570c8", "1ad780e02edf155c09ea84251289a054b671b98a", "43bb2b58f906262035ef61e41768375bc8d99ae3", "87552622efd0e85c2a71d4d2590e53d45f021dbf", "1134a6be0f469ff2c8caab266bbdacf482f32179", "176f26a6a8e04567ea71677b99e9818f8a8819d0", "081a431107eb38812b74a8cd036ca5e97235b499", "237eba4822744a9eabb121fe7b50fd2057bf744c", "f3fed71cc4fc49b02067b71c2df80e83084b2a82", "9fb701dd40e35a6abc973b6d89a455de45dd8616", "7935f644c8044c0d3b81e2842e5ecc3672698bbb", "20a0e5eb52717c389103b7fc925f9d4986654a8b", "0d7fcdb99dc0d65b510f2b0b09d3d3cfed390261", "3ce2ecf3d6ace8d80303daf67345be6ec33b3a93", "cd3005753012409361aba17f3f766e33e3a7320d", "2045fe2f21c30f364d6e699ea0bf0ea21d7f460e", "367a786cfe930455cd3f6bd2492c304d38f6f488", "9753ee59db115e1e84a7c045f2234a3f63f255b1", "d19df82c5ea644937bf182fabdc0e36e78ea6867", "0ed4b4d6d1a0c49c4eb619aab36db559b620d99f", "0c66d6162695ecbfc248074f58ced10d70a359ac", "789b8fff223b0db0fe3babf46ea98b1d5197f0c0", "eb309b11fd2b8d28cbaf7a72a49df14630ed696a", "75908b6460eb0781130ed0aa94585be25a584996", "54975ca3ce990b0e9040395e0597dfa17a12d3a0", "3409aa0ae519ee18043e347e60d85e53e452650a", "5c473cfda1d7c384724fbb139dfe8cb39f79f626", "acff2dc5d601887741002a78f8c0c35a799e6403", "d7b8f285b0701ba7b1a11d1c7dd3d1e7e304083f", "4263f2c81a8b79f637c3fdf432a9b1e58e1c25e5", "dae1726852228b9c3c2b45f440f38f904747e40f", "0580edbd7865414c62a36da9504d1169dea78d6f", "857544746a1d1071739d98718df51936a3488737", "e5eb7fa8c9a812d402facfe8e4672670541ed108", "c49aed65fcf9ded15c44f9cbb4b161f851c6fa88", "9c81d436b300494bc88d4de3ac3ec3cc9c43c161", "6eee2b2c85617f819bd6145d1dcb16c9bd283ed4", "312b2566e315dd6e65bd42cfcbe4d919159de8a1", "bc73a228e03bb2409098ea69e68fc094de1bc02c", "e88364a478c8e2278b1aa5c4d7d539562c059549", "cc713a92d8a3aff6f1586923ca9ba267d5e89251", "d65b82b862cf1dbba3dee6541358f69849004f30", "0cc96359b1edba28d33fe9e663079c5674744672", "6ca7a82ec1c51417c4f0b8eebddb53a73a3874b1", "d893f75206b122973cdbf2532f506912ccd6fbe0", "b20d921628bed754c39cf25786255d20d9ccd3a1", "512befa10b9b704c9368c2fbffe0dc3efb1ba1bf", "7081958a390d3033f5f33e22bbfec7055ea8d601", "0abc13166e4a098fc34d4c708f3349fdd8f6f4c6", "f545b121b9612707339dfdc40eca32def5e60430", "3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8", "cef6cffd7ad15e7fa5632269ef154d32eaf057af", "ab1dfcd96654af0bf6e805ffa2de0f55a73c025d", "289d98ae254a64f549619c77e974c99cd1e4fe8a", "798e58c181f3ba3aecbe41acd1881860c5e2df3a", "00d931eccab929be33caea207547989ae7c1ef39", "fae83b145e5eeda8327de9f19df286edfaf5e60c", "b89862f38fff416d2fcda389f5c59daba56241db", "8706c3d49d1136035f298041f03bb70dc074f24d", "e26a7e343fe109e2b52d1eeea5b02dae836f3502", "96ec76d2579a3b877019e715da58d8c47d343399", "d7c87f4ca39f79d93c954ffacac32bc6eb527e2c", "b85b754ace15f4e9bee4ee76296580ddfbc3a11e", "90f4b20f4b7115cb84dda22e5e4eb9c50d7fddce", "e0bfcf965b402f3f209f26ae20ee88bc4d0002ab", "0cb7e4c2f6355c73bfc8e6d5cdfad26f3fde0baf", "fb3aaf18ea07b30d1836e7cf2ab9fa898627fe93", "2a9b398d358cf04dc608a298d36d305659e8f607", "6dcf6b028a6042a9904628a3395520995b1d0ef9", "86f8e6310d114bb24deb971e8bc7089df6ac3b57", "7f59657c883f77dc26393c2f9ed3d19bdf51137b", "352c53e56c52a49d33dcdbec5690c2ba604b07d0", "8d3fbdb9783716c1832a0b7ab1da6390c2869c14", "eb3c45e78acee0824c8f7d997c6104d74e7213a8", "70d2f5e897086b8d3914f8fa1d9e479d71597e96", "681d222f91b12b00e9a4217b80beaa11d032f540", "c696c9bbe27434cb6279223a79b17535cd6e88c8", "3753b9fcf95b97e2baf952993905cd6dfa8561cb", "f6311d6b3f4d3bd192d866d2e898c30eea37d7d5", "0d735e7552af0d1dcd856a8740401916e54b7eee", "aa587e0d5f992f88eeb345b92459cdf730daa57b", "824f20de33febe3f0b19276cb7cdd25cb1e789b7", "455204fa201e9936b42756d362f62700597874c4", "39f59570ed9065d100745617a7e0a9dd4bb072f1", "650bfe7acc3f03eb4ba91d9f93da8ef0ae8ba772", "d44ca9e7690b88e813021e67b855d871cdb5022f", "403a108dec92363fd1f465340bd54dbfe65af870", "7975f12187a7686d861054649845ccc634c3b00f", "f6f2a212505a118933ef84110e487551b6591553", "41b38da2f4137c957537908f9cb70cbd2fac8bc1", "d4ec62efcc631fa720dfaa1cbc5692b39e649008", "fcb276874cd932c8f6204f767157420500c64bd0", "b7128e0fe18dcb42e8a2ac5cf6794f64a8e37bd0", "da54a3d6dc5827abba96edf5ec1e6791ad05760b", "fe50efe9e282c63941ec23eb9b8c7510b6283228", "33a1a049d15e22befc7ddefdd3ae719ced8394bf", "ec28217290897a059348dcdf287540a2e2c68204", "f18ff597bbfca10f84d017ac5e1ef0de6d7ad66c", "b331ca23aed90394c05f06701f90afd550131fe3", "9f6d04ce617d24c8001a9a31f11a594bd6fe3510", "ae62c0a4b74ce672e8103dbf6d344d82c59f216c", "66533107f9abdc7d1cb8f8795025fc7e78eb1122", "e4bf70e818e507b54f7d94856fecc42cc9e0f73d", "2983efadb1f2980ab5ef20175f488f77b6f059d7", "b33e8db8ccabdfc49211e46d78d09b14557d4cba", "5fd66fd2286f78ec5b9d392273394c6ca61df7fa", "72ffcc5b654b2468b9eff761279b29164f1df5d9", "c27f64eaf48e88758f650e38fa4e043c16580d26", "5094347095af408a9be84b1538bc049bdcdb343a", "52c59f9f4993c8248dd3d2d28a4946f1068bcbbe", "4735fa28fa2a2af98f7b266efd300a00e60dddf7", "158e32579e38c29b26dfd33bf93e772e6211e188", "516f784f145390e22cb4607cb525175ff4c7109b", "0aa9872daf2876db8d8e5d6197c1ce0f8efee4b7", "bebb8a97b2940a4e5f6e9d3caf6d71af21585eda", "cf6851c24f489dabff0238e01554edea6aa0fc7c", "6011a12917bf91b10084de99ddd2908714b1ba96", "2564848f094f7c1cd5e599aa907947b10b5c7df2", "1aeb7bffb66e278b4b859538a70790bbe2fc9cdc", "2b43100a13811b33cc9f905fa1334bfd8b1873ba", "b313751548018e4ecd5ae2ce6b3b94fbd9cae33e", "c175ebe550761b18bac24d394d85bdfaf3b7718c", "9294739e24e1929794330067b84f7eafd286e1c8", "83ac942d71ba908c8d76fc68de6173151f012b38", "59e75aad529b8001afc7e194e21668425119b864", "8b6fded4d08bf0b7c56966b60562ee096af1f0c4", "b728e7db6e5559a77dc59381bfb8df96d482a721", "9fc5c067559b705c681bf5e344a0b780b4d87412", "33b61be191e63b0c9974be708180275c9d5b3057", "b865652add14e5455cc3577cffcf439d12961ad3", "d7bd37920a3a4a4d681151131e23a839695c8d5b", "60bdff71e241f9afc411221bd20aaebb4608576b", "ad50f6899103eff0ee4504e539c38eb965fd1309", "a33f20773b46283ea72412f9b4473a8f8ad751ae", "0badf61e8d3b26a0d8b60fe94ba5c606718daf0b", "5f453a35d312debfc993d687fd0b7c36c1704b16", "96e0b67f34208b85bd90aecffdb92bc5134befc8", "298f618aadaf65869c9825213d5933eb560b347b", "ae1de0359f4ed53918824271c888b7b36b8a5d41", "df5fe0c195eea34ddc8d80efedb25f1b9034d07d", "819c93dfe531ad6aba71cd48942c9e07b7a89b1b", "3a49507c46a2b8c6411809c81ac47b2b1d2282c3", "c5f1ae9f46dc44624591db3d5e9f90a6a8391111", "2d2572f46e4d7e017e4bf40a6571928465fa1350", "d522c162bd03e935b1417f2e564d1357e98826d2", "8eb708d86d9e6b9779593f0ab60df39a6adb6398", "763b60feaabceebbe9eddfbaa0378b8b454327aa", "9101363521de0ec1cf50349da701996e4d1148c8", "39ce2232452c0cd459e32a19c1abe2a2648d0c3f", "b71d1aa90dcbe3638888725314c0d56640c1fef1", "053ee4a4793f54b02dfabde5436fd7ee479e79eb", "9774430006f1ed017156b17f3cf669071e398c58", "7ab238c23c6640fe0b23d635d6b5fc38fa4a3b46", "757e4cb981e807d83539d9982ad325331cb59b16", "6733adb12458678c606759233f6f55782bace372", "055530f7f771bb1d5f352e2758d1242408d34e4d", "77db171a523fc3d08c91cea94c9562f3edce56e1", "04f55f81bbd879773e2b8df9c6b7c1d324bc72d8", "d569c3e62f471aa75ed53e631ec05c1a3d594595", "5613cb13ab381c8a8b81181ac786255705691626", "796e5cd7913665dc5f2a228817911432e1916d12", "6def8656831687bc9790015931bccf884e38358a", "256ef946b4cecd8889df8d799d0c9175ae986af9", "f935225e7811858fe9ef6b5fd3fdd59aec9abd1a", "de00e46b834a1f6263142b8de19f51be44e667eb", "d09fd7e0bb5d997963cfef45452724416b2bb052", "874da338c01fb7a87d605fcde6c52835eee03d5e", "111a9645ad0108ad472b2f3b243ed3d942e7ff16", "a6f81619158d9caeaa0863738ab400b9ba2d77c2", "99e0c03686f7bc9d7add6cff39a941a047c3600a", "4e1836914bbcf94dc00e604b24b1b0d6d7b61e66", "dc550f361ae82ec6e1a0cf67edf6a0138163382e", "8b4124bb68e5b3e6b8b77888beae7350dc594a40", "ae73eb7ab8ceef75f99380b3a4a4d739f89fc946", "e1c59e00458b4dee3f0e683ed265735f33187f77", "2d25045ec63f9132371841c0beccd801d3733908", "3db6fd6a0e9bb30f2421e84ee5e433683d17d9c1", "18dd3867d68187519097c84b7be1da71771d01a3", "831226405bb255527e9127b84e8eaedd7eb8e9f9", "86d1fbaecd02b44309383830e6d985dc09e786aa", "62f60039a95692baaeaae79a013c7f545e2a6c3d", "32ced1e29df77b269c338827fd1477da36482c83", "e51f1ee5535017e10a5f77100ff892509ec6b221", "583e0d218e1e7aaf9763a5493e7c18c2b8dd7464", "6316a4b689706b0f01b40f9a3cef47b92bc52411", "7c9a65f18f7feb473e993077d087d4806578214e", "41971dfbf404abeb8cf73fea29dc37b9aae12439", "6ee2ea416382d659a0dddc7a88fc093accc2f8ee", "3f623bb0c9c766a5ac612df248f4a59288e4d29f", "60284c37249532fe7ff6b14834a2ae4d2a7fda02", "1a71f9af98228f4d2b15cfaf415321813e29b087", "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "0dd86db7970caf6614965770e0143864b1d733fc", "978a219e07daa046244821b341631c41f91daccd", "9eeada49fc2cba846b4dad1012ba8a7ee78a8bb7", "9990e0b05f34b586ffccdc89de2f8b0e5d427067", "68996c28bc050158f025a17908eb4bc805c3ee55", "86bbead2fb5b77ceff7994be9474648672f244d9", "71a9d7cf8cf1e206cb5fa18795f5ab7588c61aba", "75e9a141b85d902224f849ea61ab135ae98e7bfb", "022ec7d1642727b2cc3d9a9d7999ca84a280443f", "fa72e39971855dff6beb8174b5fa654e0ab7d324", "bc31c7df14d8e9b8e5c97db6cac66dda4ead1440", "c7685fdbee2d96ef056a89ab4fa43df5aeae7ba7", "4bfbe296cdc53c03ddb416d540242e1e2771d770", "9aba281955117eb4a7aed36775f55f27e4dde42f", "9a276c72acdb83660557489114a494b86a39f6ff", "2eb645a33fb4500f41ab100ea00fd78fde1459e2", "1a7a17c4f97c68d68fbeefee1751d349b83eb14a", "6cb4c7f52fbe386a4ab06d5ca61a11d69abba0e4", "3d68cedd80babfbb04ab197a0b69054e3c196cd9", "ac2e166c76c103f17fdea2b4ecb137200b8d4703", "f8ed5f2c71e1a647a82677df24e70cc46d2f12a8", "4b9c47856f8314ecbe4d0efc65278c2ededb2738", "640e12837241d52d04379d3649d050ee3760048c", "8a12934c4cb793c6f1e40129f37847414c1cc5c0", "5b719410e7829c98c074bc2947697fac3b505b64", "e1c50cf0c08d70ff90cf515894b2b360b2bc788b", "5d44c675addcb6e74cbc5a9c48df0d754bdbcd98", "53af22c212d1209ef5c726d6ca6913f49b4c3749", "880be65e233d4302744e2154b2ef172291ee9779", "694bdadb720d4237b701a5c8c10417843ed89c6f", "bf0836e5c10add0b13005990ba019a9c4b744b06", "46a699b18994a7f013b2fc37505e000ee7c1c29a", "0f8116b631c17f7adf55df3faafc6f2c316599f6", "b3330adb131fb4b6ebbfacce56f1aec2a61e0869", "3fa3591399755c8a50c60877652ef083ca37d3b3", "02c38fa9a8ada6040ef21de17daf8d5e5cdc60c7", "3403cb92192dc6b2943d8dbfa8212cc65880159e", "b69e7e2a7705a58a0e3f1b80ae542907b89ce02e", "2138ccf78dcf428c22951cc066a11ba397f6fcef", "0eb077a3e227b19f032f980d3a3206e4ae15e429", "535bee7337ebe0ef14dd0137e0d5a186febfcbc8", "3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e", "aeb36fac7516753a14c3c690f352de78e70f8c6e", "9dcc6dde8d9f132577290d92a1e76b5decc6d755", "142e233adceed9171f718a214a7eba8497af4324", "25d3e122fec578a14226dc7c007fb1f05ddf97f7", "8184a92e1ccc7fdeb4a198b226feb325c63d6870", "8dd3f05071fd70fb1c349460b526b0e69dcc65bf", "261a839307d5f6facf7dcb1cbf7beb064c3bc044", "8a40b6c75dd6392ee0d3af73cdfc46f59337efa9", "8323af714efe9a3cadb31b309fcc2c36c8acba8f", "ea890846912f16a0f3a860fce289596a7dac575f", "1f41bf5e8b8562ac7ef0013f4d0cf1c9e1a431f9", "1467c4ab821c3b340abe05a1b13a19318ebbce98", "516a27d5dd06622f872f5ef334313350745eadc3", "dd0760bda44d4e222c0a54d41681f97b3270122b", "33ec047f1084e290c8a6f516bc75345b6bcf02a0", "cce2f036d0c5f47c25e459b2f2c49fa992595654", "f7aae7f6f9f10ee53726ebc2c77694d7593035f4", "1659ef06d59e3f575675c48dd7fbdbbc9728a178", "6cd762e7cb1301abd0ddbb265dd9c7661ffc0458", "b11df79c812ff7ea63f7c93ec8eafefc3fd04f7e", "911505a4242da555c6828509d1b47ba7854abb7a", "52885fa403efbab5ef21274282edd98b9ca70cbf", "2ac7bb3fb014d27d3928a9b4bc1bf019627e0c1a", "81146c567fa5a3c83778c1c940780d00706fa2bf", "3bf690a6e2751b23bd8ae65c2ad133b249840bf9", "5b6d05ce368e69485cb08dd97903075e7f517aed", "e198e10fc6b01e37b435f91559be67ba0e9bf40b", "1b5acd1736f18e4fa202d88a80f774c6deea5733", "c5366f412f2e8e78280afcccc544156f63b516e3", "a5b6a3234e15343d2e5417cff46c0a5f0943521e", "4a484d97e402ed0365d6cf162f5a60a4d8000ea0", "180bd019eab85bbf01d9cddc837242e111825750", "27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba", "01fbc6089029844880d532d0060d0ad3c8a33763", "8323529cf37f955fb3fc6674af6e708374006a28", "cef841f27535c0865278ee9a4bc8ee113b4fb9f3", "b8f7eb74b9b35215005fc8da64ef6d2dc31aaceb", "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "10e704c82616fb5d9c48e0e68ee86d4f83789d96", "08e995c080a566fe59884a527b72e13844b6f176", "1a03dcc811131b0b702bd5a75c54ed26cd27151a", "c043f8924717a3023a869777d4c9bee33e607fb5", "c459014131cbcd85f5bd5c0a89115b5cc1512be9", "b13b101b6197048710e82f044ad2eda6b93affd8", "8d1adf0ac74e901a94f05eca2f684528129a630a", "6cba90e81d460bb32188201a2c10622baa55015e", "334166a942acb15ccc4517cefde751a381512605", "f96b3122f66c01cb78643d7e1b412e1bae16f2c4", "c3390711f5ce6f5f0728ef88c54148bf9d8783a2", "68993fea46f4b86468e5138de9e4e49b3da5088e", "accbd6cd5dd649137a7c57ad6ef99232759f7544", "c48b68dc780c71ab0f0f530cd160aa564ed08ade", "929bd1d11d4f9cbc638779fbaf958f0efb82e603", "eeb6d084f9906c53ec8da8c34583105ab5ab8284", "5e99b49b4c5fb2a72392ea199edacd650bd122c5", "e96540252f2f83e394012d653452411efb9f744f", "5491478ae2c58af21389ed3af21babd362511a8e", "2a9793abeab9af4de860bee1a1680777b562f574", "64974a76d4bfd9b327fa378ddc1fbb7c566d9d53", "2d05e768c64628c034db858b7154c6cbd580b2d5", "e6c8f5067ec2ad6af33745312b45fab03e7e038b", "af8e22ef8c405f9cc9ad26314cb7a9e7d3d4eec2", "b3658514a0729694d86a8b89c875a66cde20480c", "98af221afd64a23e82c40fd28d25210c352e41b7", "a7a5d9a2dece15ddbab77b7ecc81294cfa1fafdb", "a5e436bb88ff28c68f981308faefd6eee48b9c8b", "1eba6fc35a027134aa8997413647b49685f6fbd1", "e726acda15d41b992b5a41feabd43617fab6dc23", "0733ec1953f6c774eb3a723618e1268586b46359", "ae7604b1840753e9c2e1ab7a97e02f91a9d81860", "c74aba9a096379b3dbe1ff95e7af5db45c0fd680", "5f380850c50bf6f0963e38885776d9d7db81d7a0", "c914d2ba06ec3fd1baa0010dcc4d16c7c34fc225", "44dd150b9020b2253107b4a4af3644f0a51718a3", "cba45a87fc6cf12b3b0b6f57ba1a5282ef7fee7a", "7f205b9fca7e66ac80758c4d6caabe148deb8581", "01729cb766b1016bac217a6a6cf24bbde19f56c8", "179545c1fc645cb2ad9b31a30f48352d541876ff", "7a8bd349ccddf6ace40dbfb62d7061e847f4b83b", "f963967e52a5fd97fa3ebd679fd098c3cb70340e", "6b06b79ad1f1907e21380083b976b24a89a0f743", "530ce1097d0681a0f9d3ce877c5ba31617b1d709", "b87db5ac17312db60e26394f9e3e1a51647cca66", "cc7c63473c5bef5ae09f26b2258691d9ffdd5f93", "c4541802086461420afb1ecb5bb8ccd5962a9f02", "5865e824e3d8560e07840dd5f75cfe9bf68f9d96", "ec983394f800da971d243f4143ab7f8421aa967c", "ba83b28ac5ce92ef8437fdd499132823f487ff83", "67e6ddce6fea17bb2b171c949ee224936d36c0d1", "f3f77b803b375f0c63971b59d0906cb700ea24ed", "047ce307ad0c871bc2c9a5c1e4649cefae2ba50d", "677ebde61ba3936b805357e27fce06c44513a455", "00af9945a3401bdad3cffa89f7e5a15660399282", "12226bca7a891e25b7d1e1a34a089521bba75731", "dab51ce14f59d552c0fc5c13b37ca64cae8d0164", "6592dcd17fc4df707020904cf5ff0927684f9f23", "3074da78949dc2d710892c66904b61d9ff684e50", "ca0363d29e790f80f924cedaf93cb42308365b3d", "bb6ac4e26499dea5bdedb05b269f40f56247b4c6", "fdb1aa2acd150e73dfd27d2601a66497292170d9", "f14403d9d5fbc4c6e8aeb7505b5d887c50bad8a4", "80a6bb337b8fdc17bffb8038f3b1467d01204375", "aae227322ac72cdf982fa8b7e3249e9ea6b05910", "b84dde74dddf6a3281a0b22c68999942d2722919", "5551a03353f571b552125dd4ee57301b69a10c46", "5bfc32d9457f43d2488583167af4f3175fdcdc03", "35265cbd9c6ea95753f7c6b71659f7f7ef9081b6", "b7eead8586ffe069edd190956bd338d82c69f880", "87610276ccbc12d0912b23fd493019f06256f94e", "272495b5d30009b9afec766b879fd1a8a65b5abb", "cc8e378fd05152a81c2810f682a78c5057c8a735", "9df86395c11565afa8683f6f0a9ca005485c5589", "496d62741e8baf3859c24bb22eaccd3043322126", "a5b9c6aa52f91092b5a8ab04ed1f7b60c0ea5260", "675b1fd2aaebe9c62be6b22b9ac6d278193cc581", "a158c1e2993ac90a90326881dd5cb0996c20d4f3", "09cf3f1764ab1029f3a7d57b70ae5d5954486d69", "2465fc22e03faf030e5a319479a95ef1dfc46e14", "9ccaa13a577b20e88420d0a4b8c9545d5560261d", "7e456e94f3080c761f858264428ee4c91cd187b2", "19359fb238888c0eb012a4ab5c6f0fa0e9be493b", "83aa049839dee19c75380a3894fd0f26fbeae28c", "44aeda8493ad0d44ca1304756cc0126a2720f07b", "1e64b2d2f0a8a608d0d9d913c4baee6973995952", "fb915bcc1623cdf999c0e95992c0e0cf85e64d8e", "d9eed86e53ce5f7cba379fe77bbefb42e83c0d88", "06ad99f19cf9cb4a40741a789e4acbf4433c19ae", "c3cfbd03efca980431e17fcbc507962377821681", "6584c3c877400e1689a11ef70133daa86a238602", "ca0185529706df92745e656639179675c717d8d5", "2e6776cd582c015b46faf616f29c98ce9cff51a2", "80e9c28c369a6c49f9dd10473c663a25dc9716d5", "9e5acdda54481104aaf19974dca6382ed5ff21ed", "c23bd1917badd27093c8284bd324332b8c45bfcf", "5a4c6246758c522f68e75491eb65eafda375b701", "3d6ee995bc2f3e0f217c053368df659a5d14d5b5", "179564f157a96787b1b3380a9f79701e3394013d", "0614cafad1b546faa7e99c67c9bda6bae2cacb5e", "2ad04707b08e9002e382def29d47496ac4ce8d7d", "cda4fb9df653b5721ad4fe8b4a88468a410e55ec", "4ac7de66841babac6b482cb54722074e2eb42079", "051a84f0e39126c1ebeeb379a405816d5d06604d", "5bb6703bc01e4f7ab7e043964ec6579ac06a7c03", "7c54240c23d42703ddc85089d167f4985614cc3a", "7851baa2ef437df7ee65c591dbe7ec01f2257ff1", "ad9cb522cc257e3c5d7f896fe6a526f6583ce46f", "9696b172d66e402a2e9d0a8d2b3f204ad8b98cc4", "14bdd23ea8f4f6d7f4c193e5cbb0622362e12ae1", "62c2d21f78fb89a11b436ab6ca9acd9abca145be", "08ae100805d7406bf56226e9c3c218d3f9774d19", "a45e6172713a56736a2565ddea9cb8b1d94721cd", "6dd052df6b0e89d394192f7f2af4a3e3b8f89875", "601834a4150e9af028df90535ab61d812c45082c", "dae420b776957e6b8cf5fbbacd7bc0ec226b3e2e", "526c79c6ce39882310b814b7918449d48662e2a9", "eedb2c34c36017b9c5aa6ce8bff2ab152e713cee", "57f4e54a63ef95596dbc743f391c3fff461f278b", "d9bad7c3c874169e3e0b66a031c8199ec0bc2c1f", "93cbb3b3e40321c4990c36f89a63534b506b6daf", "7a0fb972e524cb9115cae655e24f2ae0cfe448e0", "5dce578c8bc819592c9ec7bfab6302bbcd9a3f3d", "36b40c75a3e53c633c4afb5a9309d10e12c292c7", "9bcfadd22b2c84a717c56a2725971b6d49d3a804", "2e9e07b871e7703c60d6849282174d99977ccea7", "3652e841fcd9828f3be9b1e6ba48fa7f1714804d", "978b32ff990d636f7e2050bb05b8df7dfcbb42a1", "939f9fa056f8be445da19b43da64bd2405851a43", "429d4848d03d2243cc6a1b03695406a6de1a7abd", "998244a44f90b3b569f9c93226df70239818ead9", "19c82eacd77b35f57ac8815b979716e08e3339ca", "f0b4f5104571020206b2d5e606c4d70f496983f9", "ea3fa5e6004c0504feaa31e01b2ea19f138e9a78", "eb2fe6dae7d4f3866948569f94e6ee23efaec49e", "0cf8ea19d97fe228ba535b8ab5e7facb893fdaec", "8dffbb6d75877d7d9b4dcde7665888b5675deee1", "794ddb1f3b7598985d4d289b5b0664be736a50c4", "21ec41a6ee3c655cf54c6db659d56480fc76e742", "fba464cb8e3eff455fe80e8fb6d3547768efba2f", "a05fb74778e8bfde76cda27e4925ff20b5087889", "d8e5d94c3c8688f0ca0ee656c79847c7df04c77d", "bff77a3b80f40cefe79550bf9e220fb82a74c084", "6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9", "e9d1b3767c06c896f89690deea7a95401ae4582b", "ff45ecd750f9417c0941c2ded744569fc7a24ba6", "8bf57dc0dd45ed969ad9690033d44af24fd18e05", "34301fbf4624139a40176dbde6f5954b2df6de7b", "232a44d2d9dca00f1435ab45fa1bd3face438f92", "a76969df111f9ee9f0b898b51ad23a721d289bdc", "fad895771260048f58d12158a4d4d6d0623f4158", "dd033d4886f2e687b82d893a2c14dae02962ea70", "10e12d11cb98ffa5ae82343f8904cfe321ae8004", "d185f4f05c587e23c0119f2cdfac8ea335197ac0", "f1e44e64957397d167d13f8f551cae99e5c16c75", "8cb4aa49904d6702d9a95ace8610b415d88e3ec3", "0d3882b22da23497e5de8b7750b71f3a4b0aac6b", "78d4d861c766af2a8da8855bece5da4e6eed2e1c", "e57108607d94aa158eb22ae50540ae6080e48d4b", "81706277ed180a92d2eeb94ac0560f7dc591ee13", "c555b4655284fb31d5606e8d798393af5f701dbb", "ef02294c390e495af75bac51404dd6cf3a4391eb", "63c109946ffd401ee1195ed28f2fb87c2159e63d", "1f02bf412a82ad99fe99dc3cfb3adec9dd41eabb", "d22785eae6b7503cb16402514fd5bd9571511654", "cbba7d753caf82fd5325a1b380146fcfe0c72e32", "a935891f02cc3d6bd35a0473e3029c9446d400ac", "52012b4ecb78f6b4b9ea496be98bcfe0944353cd", "dd8d09eab82d7ec4457317d9f9427122d2ffb649", "01cc8a712e67384f9ef9f30580b7415bfd71e980", "5ab96ace21bf54625f3d18ea11801f540519bd3a", "9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc", "beb4546ae95f79235c5f3c0e9cc301b5d6fc9374", "af7553d833886663550ce83b087a592a04b36419", "27173d0b9bb5ce3a75d05e4dbd8f063375f24bb5", "43a4dd79bb26e3b722ac8bea20f5916c30599851", "feb0bd4ad219dc5005da84561b97ae53f4207440", "3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07", "bf00071a7c4c559022272ca5d39e07f727ebb479", "7eec377da62477ca42d6b86f566468962f95cfe7", "049186d674173ebb76496f9ecee55e17ed1ca41b", "dff38cac0a1004037024f0ed2a72f76f4e49318b", "8aae23847e1beb4a6d51881750ce36822ca7ed0b", "4f0bf2508ae801aee082b37f684085adf0d06d23", "84f86f8c559a38752ddfb417e58f98e1f8402f17", "628f9c1454b85ff528a60cd8e43ec7874cf17931", "cbbd9880fb28bef4e33da418a3795477d3a1616e", "3645d85ccd5bb7ce5df8d24e6ddb358eb1656df5", "1eeb39d618f5fab243dd07b955a8e0e722f6dfdb", "8f8c0243816f16a21dea1c20b5c81bc223088594", "dea409847d52bb0ad54bf586cb0482a29a584a7e", "97ea4b846be6598e2ee8e09134d1b3f966c4d0df", "6d8a7399a195023f8546846231cc032342d0c622", "363f540dc82ba8620262a04a67cfd6d3c85b0582", "cf98565a19ec05a63dbaf650660b7c3f72de7b2b", "a3a97bb5131e7e67316b649bbc2432aaa1a6556e", "59f788c69c2ce520fd6f0b80d01aca72f7f8d859", "25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8", "646c38494aa960c1c120c26619473f5968e5dc34", "b55d0c9a022874fb78653a0004998a66f8242cad", "4d530a4629671939d9ded1f294b0183b56a513ef", "3f4c262d836b2867a53eefb959057350bf7219c9", "496f3d14cf466f054d395a3c71fa2cd6a3dda61d", "c34e48d637705ffb52360c2afb6b03efdeb680bf", "f2943bd7cf4c9371d093a347bfa319d5cdabc811", "5d233e6f23b1c306cf62af49ce66faac2078f967", "0359f7357ea8191206b9da45298902de9f054c92", "1ef5ce743a44d8a454dbfc2657e1e2e2d025e366", "64782a2bc5da11b1b18ca20cecf7bdc26a538d68", "965c4a8087ae208c08e58aaf630ad412ac8ce6e2", "966cf4ca224e239a7192f9e79b60cc88aa604e27", "1d51b256af68c5546d230f3e6f41da029e0f5852", "0b58b3a5f153f653c138257426bf8d572ae35a67", "cdd30bd77c7a4fa21176a21498f65f6b8b873965", "64e75f53ff3991099c3fb72ceca55b76544374e5", "6c6bb85a08b0bdc50cf8f98408d790ccdb418798", "a7da7e5a6a4b53bf8736c470ff8381a654e8c965", "443f4421e44d4f374c265e6f2551bf9830de5597", "3c2b6282811c3077b7807d84068e6a879d163854", "b6c047ab10dd86b1443b088029ffe05d79bbe257", "99a1180c3d39532efecfc5fa251d6893375c91a1", "44eb4d128b60485377e74ffb5facc0bf4ddeb022", "ae4e2c81c8a8354c93c4b21442c26773352935dd", "8fd9c22b00bd8c0bcdbd182e17694046f245335f", "609d81ddf393164581b3e3bf11609a712ac47522", "ab6886252aea103b3d974462f589b4886ef2735a", "3283499696251ed147c5fdbd27a75225e345f069", "26c884829897b3035702800937d4d15fef7010e4", "fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5", "334e65b31ad51b1c1f84ce12ef235096395f1ca7", "b8048a7661bdb73d3613fde9d710bd45a20d13e7", "0b80fdb5b78422efdb3cdb840c78630de0af61f3", "749382d19bfe9fb8d0c5e94d0c9b0a63ab531cb7", "00d0f2ec2036fb26ffcf882eb0aa47da0693192e", "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "3e69ed088f588f6ecb30969bc6e4dbfacb35133e", "5a5f0287484f0d480fed1ce585dbf729586f0edc", "86904aee566716d9bef508aa9f0255dc18be3960", "eefdb69ac2c461e7791603d0f8c02ff3c8600adc", "0b78fd881d0f402fd9b773249af65819e48ad36d", "18b344b5394988544c386783e7bb8e73e0466e0e", "d4026438ce2b92302fa635c05507cf0e888414c0", "26947c3ead54e571286fdea25f1fc4d121817850", "4e1258db62e4762fd8647b250fda9c3567f86eb8", "37105ca0bc1f11fcc7c6b7946603f3d572571d76", "c180f22a9af4a2f47a917fd8f15121412f2d0901", "6da446b59944db9b3d7412ad0efc6c189812d56a", "66b9d954dd8204c3a970d86d91dd4ea0eb12db47", "faa46ef96493b04694555738100d9f983915cf9b", "fde611bf25a89fe11e077692070f89dcdede043a", "ea6f5c8e12513dbaca6bbdff495ef2975b8001bd", "4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea", "874713dfa7ba8b3ffcc47ed5f8b60849d77f6ea8", "f8ba921670c94ed94d94a98d64f38b857b0dc104", "da5bfddcfe703ca60c930e79d6df302920ab9465", "6c30b29b24dc11e37fe36c6e2c283e1c8fe5e339", "46e66d3e4c6bb674d68f7c71f55cb94fc25057a4", "5e6fc99d8f5ebaab0e9c29bc0969530d201e0708", "52af7625f7e7a0bd9f9d8eeafd631c4d431e67e7", "e59c0213103730a45e88866c7154524df3517476", "77652e55f73539df94f03489544504874f96d25e", "5e09155cfb7a8bab2217e5d34cd0d6a4a0586868", "76640cb1a683a479ce2e0d6681d821ff39126d63", "62750d78e819d745b9200b0c5c35fcae6fb9f404", "7d61b70d922d20c52a4e629b09465076af71ddfd", "1eb48895d86404251aa21323e5a811c19f9a55f9", "23ba9e462151a4bf9dfc3be5d8b12dbcfb7fe4c3", "0e49a23fafa4b2e2ac097292acf00298458932b4", "aeeea6eec2f063c006c13be865cec0c350244e5b", "324f39fb5673ec2296d90142cf9a909e595d82cf", "4c5b38ac5d60ab0272145a5a4d50872c7b89fe1b", "b7a0c70a320c1ac3e92f4bf0b50a7d8ceb757c41", "3d3bcda01769b1aac8d907cfecc066963afd555b", "2f837ff8b134b785ee185a9c24e1f82b4e54df04", "a93852198fe4f542087863664b5213613542aa7e", "6e782073a013ce3dbc5b9b56087fd0300c510f67", "497bf2df484906e5430aa3045cf04a40c9225f94", "a3eab933e1b3db1a7377a119573ff38e780ea6a3", "f2f731feb9d376ac50b3347a93e73a0d6528cdd9", "883702f1589abdf14dcb1d164d578a64316ed3ab", "2bae810500388dd595f4ebe992c36e1443b048d2", "12ded6a869b4e21149452234140257019af9494d", "d3f40b393e0e6a88ae4b4072e01ddb0b420300af", "782eee555067b2d6d24db87775e1ded5fb047491", "2293413ebd24e377c1785113b695cc8a918a5fdb", "32728e1eb1da13686b69cc0bd7cce55a5c963cdd", "cbdcc28d36f1135d235b5067383b25dcac5d2ff3", "268c4bb54902433bf00d11391178a162e5d674c9", "d05759932001aa6f1f71e7dc261c4716f57a5397", "ad96a917d5b474ae88ee5939d1e677f8a90ed5e3", "d4fba386caca1b5b2ee35ee5310b5fce50b2b1c3", "a000e15656e84dd538f1f0b8f8639dd29f122c95", "8c955f3827a27e92b6858497284a9559d2d0623a", "12bb0cb32e48269da2902c4c6d41ea2966ba8462", "b5bda4e1374acc7414107cde529ad8b3263fae4b", "00c8b712475e0db21271e2988e5e2a27fb11a187", "20ae711183e4d31e08f074603fa861cd9821fcc9", "913062218c7498b2617bb9d7821fe1201659c5cc", "74d3ff8324e02503c18fb2566ed29e2e22ce0d1b", "259ddd3c618feec51576baac7eaaf80ea924b791", "99726ad232cef837f37914b63de70d8c5101f4e2", "9110c589c6e78daf4affd8e318d843dc750fb71a", "9a84588fe7e758cfbe7062686a648fab787fc32f", "a52c72cd8538c62156aaa4d7e5c54946be53b9bb", "1a66f37f37e4fbf9a8e657853933539256bbda88", "e475e857b2f5574eb626e7e01be47b416deff268", "c66ecbae0f2bfa7cdbf5082fb8f0567878b4a599", "32e4fc2f0d9c535b1aca95aeb5bcc0623bcd2cf2", "61dfebbb02dad16b56cd9e6c54b5da3ab41caf1c", "14e428f2ff3dc5cf96e5742eedb156c1ea12ece1", "6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6", "7d50df03d0c8a26eaaeaef47de68691f9ac73701", "93c4e4b07f36a533ebaa29d3f859a0d356696eab", "41c8e222ebb26e72050f5d26c82f25d7618b700f", "3960882a7a1cd19dfb711e35a5fc1843ed9002e7", "43ae4867d058453e9abce760ff0f9427789bab3a", "9e5c2d85a1caed701b68ddf6f239f3ff941bb707", "6f75697a86d23d12a14be5466a41e5a7ffb79fad", "17d03da4db3bb89537d644b682b2a091d563af4a", "45e043dffc57a9070f483ac4aec2c5cd2cec22cb", "c3dc4f414f5233df96a9661609557e341b71670d", "a46283e90bcdc0ee35c680411942c90df130f448", "847e07387142c1bcc65035109ccce681ef88362c", "62f017907e19766c76887209d01d4307be0cc573", "816bd8a7f91824097f098e4f3e0f4b69f481689d", "7c457c9a658327af6f6490729b4cab1239c22005", "411ee9236095f8f5ca3b9ef18fd3381c1c68c4b8", "aa3e1824af497dc16ae27e6818a0e89c78a18371", "0cf7bb49fc6dd9ab0d60e7cff4bb3e53b2676a1b", "052fb35f731680d9d4e7d89c8f70f14173efb015", "396de136485d85242583951bee4e7b19234bc964", "145a0f18ae28d51edd113a427fdf98c5e030345d", "9abf6d56a7d336bc58f4e3328d2ee807032589f1", "fb557b79157a6dda15f3abdeb01a3308528f71f2", "df71a00071d5a949f9c31371c2e5ee8b478e7dc8", "b6c83e6706a9931a2670bc686485d76b67cb92ea", "19878141fbb3117d411599b1a74a44fc3daf296d", "1050cd9bf281d0b7367c03d931e6e0b4fc08ccd3", "cd64530a910ba28cbd127c78913dd787184f8e6d", "eab53c9e3e8442050aa6ad97003f2356a365adaa", "250ebcd1a8da31f0071d07954eea4426bb80644c", "4af89578ac237278be310f7660a408b03f12d603", "4bf698cb8f8bf549a96e2ac8b2d911a81f6cc9fc", "b5234d5fa189a2401b613f932cc9b3c2de2443dc", "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "8a8861ad6caedc3993e31d46e7de6c251a8cda22", "84fe5b4ac805af63206012d29523a1e033bc827e", "de005cf88856b4b56e8eea242fdb16dabec6b4a0", "2e56209ed179be641e6df5efd11be8b3d54a62e9", "eaccdbcdc8032e4de8419621a7786bb073cbfc0c", "313e508202a6f4f2fc40a78b6237e52c2c0d22a2", "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "80774ae06a562555cc1336da6004618cb9ea170c", "518c529fea2a362a93d2ad0d919b8d820c4cc0ea", "3c4290e6adce10cb809f5adec9559220eac79241", "5119ca96eeca49a0b1a95cecc798abdb042beb38", "372fefe66aa693e271ec6298fac1695208f36aee", "42bdb205d63cbcb44858f3a9e541d37cfeab1b96", "d2df37ecfbf914d5b81e2e5e342e3907c6f55a14", "e996da9beadff6f6694540c6b1794312f814dbae", "5034757f972b68fb164c9996ec2e222d5a1d095a", "21732ecbba1a75d54e8b90c1804f0b77953466e6", "f988aa059bc3589f3cbddd0b87cea2588f623cc8", "759cd83bf1dda78c7e839f332327321a144327f8", "f249b2de6eacb5598abf3046fbb2efb9f15f3fcc", "45a4030b30bb8fe18611476acfe2f1c8b4eff322", "4c170a0dcc8de75587dae21ca508dab2f9343974", "40294254c5d1eb894665b28e009e6daa92aa943a", "3b092733f428b12f1f920638f868ed1e8663fe57", "7808937b46acad36e43c30ae4e9f3fd57462853d", "3d0c21d4780489bd624a74b07e28c16175df6355", "4934d44aa89b6d871eb6709dd1d1eebf16f3aaf1", "24496e4acfb8840616b2960b0e2c80cc4c9e5a87", "6014eeb333998c2b2929657d233ebbcb1c3412c9", "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "37866fea39deeff453802cde529dd9d32e0205a5", "23ebbbba11c6ca785b0589543bf5675883283a57", "b6fe64f953c5e0b8776bd4e0e1a2fb29d8e63294", "ccf0324f4115687a844a6df6a87bbba150adc10b", "df11424eaa9ed522052cf562fb7c054448abb8c8", "346c9100b2fab35b162d7779002c974da5f069ee", "d930c3d92a075d3f3dd9f5ea1a8f04e0d659b22b", "91e9e19a06614197b5431410cecd29762223e04e", "a30869c5d4052ed1da8675128651e17f97b87918", "9213a415d798426c8d84efc6d2a69a2cbfa2af84", "3411ef1ff5ad11e45106f7863e8c7faf563f4ee1", "d9c4586269a142faee309973e2ce8cde27bda718", "670531f3925c1ee6921f1550a988a034db727c3b", "6c92d87c84fa5e5d2bb5bed3ef38168786bacc49", "424259e9e917c037208125ccc1a02f8276afb667", "71e6a46b32a8163c9eda69e1badcee6348f1f56a", "58a3f4d9e1611e29e6378bc2d7cbad7600fe806e", "0fad544edfc2cd2a127436a2126bab7ad31ec333", "88e090ffc1f75eed720b5afb167523eb2e316f7f", "2563fc1797f187e2f6f9d9f4387d4bcadd3fbd02", "21d5c838d19fcb4d624b69fe9d98e84d88f18e79", "7a3d46f32f680144fd2ba261681b43b86b702b85", "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "8b2e3805b37c18618b74b243e7a6098018556559", "034addac4637121e953511301ef3a3226a9e75fd", "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "00075519a794ea546b2ca3ca105e2f65e2f5f471", "c5765590c294146a8e3c9987d394c0990ab6a35b", "10e4172dd4f4a633f10762fc5d4755e61d52dc36", "3830047081ef4bc787f16edf5b244cb2793f75e5", "7c42371bae54050dbbf7ded1e7a9b4109a23a482", "06e7e99c1fdb1da60bc3ec0e2a5563d05b63fe32", "4c4236b62302957052f1bbfbd34dbf71ac1650ec", "52887969107956d59e1218abb84a1f834a314578", "61122b36259f5e987a4913c9b257c6e7dc88edc3", "78f438ed17f08bfe71dfb205ac447ce0561250c6", "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "1ed49161e58559be399ce7092569c19ddd39ca0b", "0b605b40d4fef23baa5d21ead11f522d7af1df06", "2a74ff3540c6cdc5e0633d6c1a42cc2705c940d7", "df2841a1d2a21a0fc6f14fe53b6124519f3812f9", "008528d5e27919ee95c311266041e4fb1711c254", "1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee", "4703f91062906b19fc97e1fc1136958d7b8fb753", "b40290a694075868e0daef77303f2c4ca1c43269", "ff8ef43168b9c8dd467208a0b1b02e223b731254", "5811944e93a1f3e35ece7a70a43a3de95c69b5ab", "eee37a7acca02ed6bef8b2b1acf532fdcade9e59", "9f094341bea610a10346f072bf865cb550a1f1c1", "1939168a275013d9bc1afaefc418684caf99ba66", "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "28b061b5c7f88f48ca5839bc8f1c1bdb1e6adc68", "329b2781007604652deb72139d14315df3bc2771", "0fd3a7ee228bbc3dd4a111dae04952a1ee58a8cd", "87a39f5002ef2de3143d1ea96ae19e002c44345b", "28bc378a6b76142df8762cd3f80f737ca2b79208", "7c1cfab6b60466c13f07fe028e5085a949ec8b30", "adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6", "6c0c7b90e0c7badaa95924530cb50d86444010ff", "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "f16599e4ec666c6390c90ff9a253162178a70ef5", "65817963194702f059bae07eadbf6486f18f4a0a", "852ff0d410a25ebb7936043a05efe2469c699e4b", "00b29e319ff8b3a521b1320cb8ab5e39d7f42281", "136aae348c7ebc6fd9df970b0657241983075795", "feeb0fd0e254f38b38fe5c1022e84aa43d63f7cc", "5c2e264d6ac253693469bd190f323622c457ca05", "9b693c71cc89e2d2f41b6ab5cc0f62ca59c6d128", "7862f646d640cbf9f88e5ba94a7d642e2a552ec9", "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "55a158f4e7c38fe281d06ae45eb456e05516af50", "94a7c97d1e3eb5dbfb20b180780451486597a9be", "eef725f4130ee326954e84e5f4ddf487da63c94e", "28d06fd508d6f14cd15f251518b36da17909b79e", "ddd0f1c53f76d7fc20e11b7e33bbdc0437516d2b", "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "1ce3a91214c94ed05f15343490981ec7cc810016", "3a0796161d838f9dc51c0ee5f700e668fa206db3", "7c57ac7c9f84fbd093f6393e2b63c18078bf0fdf", "7f4bc8883c3b9872408cc391bcd294017848d0cf", "d383ba7bbf8b7b49dcef9f8abab47521966546bb", "70580ed8bc482cad66e059e838e4a779081d1648", "be86d88ecb4192eaf512f29c461e684eb6c35257", "2bcd9b2b78eb353ea57cf50387083900eae5384a", "03d1d0a665e358863ff4de9ee7d78f64edd7e756", "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "6a67e6fbbd9bcd3f724fe9e6cecc9d48d1b6ad4d", "8ba67f45fbb1ce47a90df38f21834db37c840079", "b13bf657ca6d34d0df90e7ae739c94a7efc30dc3", "11a210835b87ccb4989e9ba31e7559bb7a9fd292", "603954eed110b1c822002e471921090f6f807b15", "098a1ccc13b8d6409aa333c8a1079b2c9824705b", "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "46eaeee1d2887c27b614852c728411cfedf52144", "8b1db0894a23c4d6535b5adf28692f795559be90", "504d2675da7a56a36386568ee668938df6d82bbe", "69b2a7533e38c2c8c9a0891a728abb423ad2c7e7", "5a34a9bb264a2594c02b5f46b038aa1ec3389072", "fdbe7c520568d9a32048270d2c87113c635dc7e6", "4c523db33c56759255b2c58c024eb6112542014e", "17189cfedbdbd219849b8e7f8cf0293d49465f9c", "14a5feadd4209d21fa308e7a942967ea7c13b7b6", "2f17c0514bb71e0ca20780d71ea0d50ff0da4938", "03264e2e2709d06059dd79582a5cc791cbef94b1", "29e749b14ca6e46dc7b235e879f83b7b132dda8e", "d584b7b1311f52827b7123c9b59fb027322219ff", "0b45aeb0aede5e0c19b508ede802bdfec668aefd", "2961e14c327341d22d5f266a6872aa174add8ac4", "b81cae2927598253da37954fb36a2549c5405cdb", "76673de6d81bedd6b6be68953858c5f1aa467e61", "0de1450369cb57e77ef61cd334c3192226e2b4c2", "61e9e180d3d1d8b09f1cc59bdd9f98c497707eff", "52c91fcf996af72d191520d659af44e310f86ef9", "729a9d35bc291cc7117b924219bef89a864ce62c", "8202da548a128b28dd1f3aa9f86a0523ec2ecb26", "0716e1ad868f5f446b1c367721418ffadfcf0519", "08a98822739bb8e6b1388c266938e10eaa01d903", "076d3fc800d882445c11b9af466c3af7d2afc64f", "16c884be18016cc07aec0ef7e914622a1a9fb59d", "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "8b7191a2b8ab3ba97423b979da6ffc39cb53f46b", "9d24179aa33a94c8c61f314203bf9e906d6b64de", "05ad478ca69b935c1bba755ac1a2a90be6679129", "3c1f5580a66c9624c77f27ab8e4cf0d1b3d9d171", "50d15cb17144344bb1879c0a5de7207471b9ff74", "17b46e2dad927836c689d6787ddb3387c6159ece", "24f9248f01df3020351347c2a3f632e01de72090", "21104bcf07ef0269ab133471a3200b9bf94b2948", "79dd787b2877cf9ce08762d702589543bda373be", "c9527df51e63b56c61cbf16f83d1a3c5c2c82499", "2df4d0c06f4f68060cecbbb8e2088d9c6b20d04f", "6d670eb172355d46034a831d8dc569e17ab14d94", "00b08d22abc85361e1c781d969a1b09b97bc7010", "0d4d8ce029deead6f2ce7075047aa645299ddd41", "1ae642a8d756c6aa7bc049c5c89d5072d8749637", "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "794c0dc199f0bf778e2d40ce8e1969d4069ffa7b", "97c554fbcf783d554c4f6c2f3fcc0a0f9dba0759", "eba4cfd76f99159ccc0a65cab0a02db42b548d85", "2163c401f6345350e38b2ce6f39a42871fb22c84", "1033ca56c7e88d8b3e80546848826f572c4cd63e", "4c72a51a7c7288e6e17dfefe4f87df47929608e7", "30cc1ddd7a9b4878cca7783a59086bdc49dc4044", "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "7eaa97be59019f0d36aa7dac27407b004cad5e93", "aafb271684a52a0b23debb3a5793eb618940c5dd", "484bac2a9ff3a43a6f85d109bbc579a4346397f5", "62648f91e38b0e8f69dded13b9858bd3a86bb6ed", "a2b9cee7a3866eb2db53a7d81afda72051fe9732", "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "8aff9c8a0e17be91f55328e5be5e94aea5227a35", "dc8b25e35a3acb812beb499844734081722319b4", "609f8215f0b9546b01aed5d7d12a37d3a72a0c9a", "699be9152895977b0b272887320d543c9c7f6157", "2f348a2ad3ba390ee178d400be0f09a0479ae17b", "7a7daa220b80e6f447183ab1e30531bb9eec0e0c", "ae6d2fd7fc75b2eeee47e44a162f661a61b59a34", "84eca4d0c6a989d57bc5ce900022d4bd5576361b", "f337bbee95772584e5e082bbffa67ac184d79155", "66ec086d1a546939b753671f192d76c06c8b207e", "fc7709f209dd66a72050c9c5b105164c228ae438", "3df7401906ae315e6aef3b4f13126de64b894a54", "e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e", "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "2862d405f9d1e957076195b0fefd1bdfe480ca8b", "71644fab2275cfd6a8f770a26aba4e6228e85dec", "857ad04fca2740b016f0066b152bd1fa1171483f", "dc4e4b9c507e8be2d832faf64e5a2e8887115265", "0ecb58abfe0462fecd27fd5eb0605d736e75acf6", "76951c50e5c33132a9de0f8911b77d99d873cd0f", "23b80dc704e25cf52b5a14935002fc083ce9c317", "5ea51401eea9a50a16bd17471bfd559d2d989760", "21358489b5ce0e94ff37792a8a5eea198e7272f3", "dddafd9fc479b06cb1601b1280c19181bc6172a7", "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "b4e6c5942ed495c3158ef4bede9b53690b20d0a4", "192e439b19824d06bb21ad6bd63cc7a55772549f", "06bcd68dcbd8f7dadc8310fa47d44bce982f4559", "0d8753db30693a000a2b704bc4f8c7209f716d66", "0f1cbe4e26d584c82008ccef9fb1e4669b82de1f", "87b81c8821a2cb9cdf26c75c1531717cab4b942f", "3dda181be266950ba1280b61eb63ac11777029f9", "668e8a5f2170c9ec921ea55b1d58d87223a04b36", "862234d7e26aed33cd5287be256cd9ec23b0b489", "a68ec9a74fdae7dae859e27fb711bc3c335a0d86", "01e460b6cf467f774844d92f1d359d0d77e044fe", "8e6f67ba883169d6103795d7366a3821843ac758", "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "e1fac9e9427499d3758213daf1c781b9a42a3420", "4dab3522bbf33f199996069106b514badb4f900a", "2f8cf3747f3c7d8e230ad9ab3dbc5ea4e6b9cdf1", "e71e9cbcd34bc169b2d6d083e925bd7f44693ca0", "2a5efa83ea5c4733757b838b84ba6519f873b826", "f12813073a7f894f82fe2b166893424edba7dc79", "5a363ac89f93377bb72af4346957ce36a01090c8", "b6ad9d1a8038e9b4ade4d5bbb26f03e813d53071", "e82693e9e7b1176ecb48a775cf2548e3d68ffd3a", "add80c86fa2e73637b5630a9e32644784e59379c", "a6807ee5dec896aed0d76149067ff27f8c5fb2b4", "5b446205c2a9d694bed3b972d8dd26119c7b1ac5", "38708f8627ab18d748990b1c32817d5e878c6705", "4c1dfd32f2ecd994a1dd85adebd4ad98cf27117c", "e6639b09a1fda7ddcf3d6ea9b5a011e3467ce381", "11554a577c225db1acb09b882e3c51d837ec2495", "c924137ca87e8b4e1557465405744f8b639b16fc", "d8e8730231dc0e77f3ad61385f918df3d93bd266", "55498d89f9eb0c9df9760f5e0e47a15ae7e92f25", "ab69d53372666433738063fd6f3d8a9e88a74b4c", "dc4289ca959b36f745d8e4b9383b673e2b95db47", "c2f8eb9b3414c1777440a0adfcc8c0a3c3b646e4", "3076adf64a28eea92308541978f8ed6907fe2672", "8b56e33f33e582f3e473dba573a16b598ed9bcdc", "2450c618cca4cbd9b8cdbdb05bb57d67e63069b1", "bcd299eb32f17b531fa281cb750a89895cb4feb5", "003f161768db4b70358971d40eb8e1ad535f001f", "fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53", "ede16b198b83d04b52dc3f0dafc11fd82c5abac4", "ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3", "018eaad53804a88d894a8370a94bb6db31a30ed4", "53d8946fd7dcc9e35ddf92096b372c8988c0cce9", "e8420101f54438859ca5cf85ecee01b265bb1568", "dfe97eb3304660c252c94c7eed6fc1c0970191ce", "36018404263b9bb44d1fddaddd9ee9af9d46e560", "64699c4546b66323d4af7d1e44ddb5912991c00c", "e2aafdd2f508ee383a0227de9cee00246f251ebf", "0735e0b0266d94b670fa6e1b974d3676ef4e3e24", "d045f43bd9cbd5ad4833be011e3a33db55d1f7ce", "13db9466d2ddf3c30b0fd66db8bfe6289e880802", "297c4503a18a959e3a06613d5e7e026ba351b9bf", "e1d1540a718bb7a933e21339f1a2d90660af7353", "0af37c4a61d479f0e93e423f15a1f20fe1817fbd", "d944ff789af84cecc0a913da964e017408687d62", "b664dc4902902b3753ea862378f878487b13cc22", "a7f26379346be7c7d4b5511bad7de534c689273e", "25fce91ce1b974865506c14d2e4714d8db2672d1", "221c626da43f973f47e5b6424b439a9a0f6c5052", "adefabe194863b4f764ec982e3120554165c841c", "e66a4fcc9d99088234378b12707d7a8651a7bafc", "726fc899b4b1ebbd607e6a0934e86383e5675440", "f209ac3162ad9443f80dac257427f60913be78df", "42350e28d11e33641775bef4c7b41a2c3437e4fd", "de4b5d00cba99d355f10eb1565b3644b4485cddd", "90f0e0701b755bbce89cb0e4e3f0a070d49814a0", "651ea8b030470ab4a70efced154e77028a102713", "3c47022955c3274250630b042b53d3de2df8eeda", "debbab855c250c003941fde1e799570f0b18faab", "4d0c95aa38dc191db17788f6866726e7ceafe3d3", "1e6d1e811da743df02481bca1a7bdaa73b809913", "f4aafb50c93c5ad3e5c4696ed24b063a1932915a", "07c676e6c42df0f39966aa057a6dea67ed371264", "ce0aa94c79f60c35073f434a7fd6987180f81527", "6a552df527057d433b6b68cab7c2b7661132dbcc", "6069b4bc1a21341b77b49f01341c238c770d52e0", "7735f63e5790006cb3d989c8c19910e40200abfc", "6ae02dac51860d9124db22a09a160a6478123b33", "217d22a63b45bb5960c614ede827fb5c532e0add", "0af10b19c5636ab37609bfc3289fa1b9a40849b6", "602ff72d6b65cda209184916b3ebe6cae0b28564", "449f93b4be37087236c6a13e9db4c1c323683a58", "b69ff748b1cc7da3843acdd7f1c33f0c0debf3f5", "07d70e554f7c9d4a22944bc5e0685dfdd813f33a", "95aef348d76fe8d6ac628dd62196646894585ee4", "a2c9ddd7e7df99dba7c7b2b522f5c601b341c695", "54e6343f4368d9e5468c3e83b6eeb3a58a3c7555", "33abfe693258a4e00467494b11ee4d523379ab6b", "cebf73d590e0c0021f09bdbd59778bd574e96da7", "7ed4d134e1910ded71697aa7420f2fb720596d4b", "355af3c3adbb17d25f0d2a4193e3daadffc0d4e8", "fde7849b90c64d88aaacf384f30a06416d370750", "f909d04c809013b930bafca12c0f9a8192df9d92", "5615548157d0e23d60ba82af1a3b29814bc4b7c7", "63389206f5cc81990324ee498eb6c25ffcf39831", "2dab5bddd86b0c1d8dc201c5860b3d5832da87a4", "0636baf08c741c7d0cadc0f88dc70f6bd023b8ee", "ac2a2c655ad1b3eea3f222b213a774aa25a403c0", "bc9085fb366afe9444e30e5920f3db7042013262", "ee8a75b776f92e797856b3d9a8f2c02421e53ad5", "ac1bbc44a0b342bb52d8aa92170b6473a148d130", "8dc37d4993d2e3ad145ff0959b71ffcfb507e571", "0ea2fa4039b6fc733dbc6942642287f141c1121c", "e392816ec3e0b131bbab06431ac85b14afa7d656", "966b76acfa75253679b1a82ecc5a68e523f5c0c9", "7197e4236fe7c24f6b088b16a404128c1bb28a0f", "900869f974fda37e74e36f3723217511d76395ac", "8356b642e4e9bb39bd26ea6c4b9bad21bd9b1912", "cce261b47bbeec42cf4036e89e2413e25f66ce61", "8c62ce3db6d4147bcc45cba0e225f87a30878810", "1e8d0998c69caf6e9495db1d6df562f8b9e90003", "a1997d89f544cc862c63a972ef364b2ff38982e9", "99b93f67c3b2b0a474bf5670a7dd40a6a0e849ac", "eef05b87f1a62bf658fc622427187eab4fb0f7a5", "c6ecb8e20250e3fa8ef2a5edd8fad4131f3e874f", "62c425be3e07e076d1339d1f2fe2ed319a859f02", "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "459eb3cfd9b52a0d416571e4bc4e75f979f4b901", "56c448434df9f01de306815122f6517a33235e22", "2ff67946ea47903b4ea077a8521032497c2820b0", "db326135c998b7f1f6ae61de015f09e90206d3ff", "d10cfcf206b0991e3bc20ac28df1f61c63516f30", "27e0684fa5b57715162ac6c58a6ea283c7db1719", "ff47698be7313005d0ea0fe0cc72c13f2f4b092a", "d38c564429502f0efece11e212bb1be03f05495d", "ad6bcf4384a7604b6252a6eeefade4c486b01240", "f0a0e963f1ddd8a0b3269392e3d67043d2ace7d0", "ddeacdc30d32da02fd8313657926ef8a99e57620", "47cd38706e81ba6d73a9c56ebc9e42327a0a28cb", "8e1d84e08109b5c692f7eff5cbc1816e5bdb00a3", "26ff4aaee89d0f87367ddfb466d8f8d308c22fed", "14b2dff604f148c4e5b54aa25fbecbf7f9071205", "5dbf772b98cb944befa9cf01ec5d15da713a338b", "1434c9140ba724c9a92f478781e890434e7a0215", "c0d096c31198be908b73f6ebed99435b7d913e06", "34f60ecedeb798397849b171e2e8bcf46c9b7ada", "a2611b92b000d4a0d9918ff282c719dc7f82c600", "234318640a05a7e30b84f1743f2b29d63ed109b7", "47795cbf06a2cc40bf961caa600a491691692dfe", "7302d800c962b5cb705a269cda8525634cfe64a7", "dc2c353fa43a75ec92327e323ba5715c400bf92b", "4af7a077cd5dbabac0e1f52296331bb179b14706", "f5450d5b7c9352deaa1926feb240f644cf27bc23", "51369f138c878e2bd17e6973f95328317868cbde", "3516d0c6918bcf977ad004b337fb066a9d5a8e17", "edd6ed94207ab614c71ac0591d304a708d708e7b", "38f0f382162785c01d08318b112063e5ce7070ea", "3b9eaf8d913f99adeb9192f68808efb7d2c0fac5", "01122cf389ad64c53396fc20f347f218cbfd96c9", "b374391ab793a1bb2ecde4df51be9d97c2cbf79a", "3c1416dd18bededa58d3ac6d2e1f3658ef6cf961", "816283d4313775c8a659edce08e5e10d75a338b3", "183c10b7d9ff26576e13a6639de0f7af206ed058", "8c98f67bb17c94d4d7392dba0774e2e931451db6", "5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55", "ffd78f26ce4abf3df539b0f275f100000123a6c1", "ac9516a589901f1421e8ce905dd8bc5b689317ca", "1dad684de1ce4c013ba04eb4b1a70355b3786ecd", "3eafadfd496f63df4eabbde15fe1add55d82ee53", "0d38a1bc4ee43d04ff7dbcd612284098d7d5a830", "6d9164bc6a483ccb55284cddd9024bb8831dcc35", "4d15254f6f31356963cc70319ce416d28d8924a3", "d6bcc9f24176714fc72dae4cad88c12d9825a70d", "d9984fac91cb4f469cf36f140b6c8c07c45afe6f", "c03e01717b2d93f04cce9b5fd2dcfd1143bcc180", "d8119108c849aacbaff404d7585ef583e09fb894", "92f57973d84404505fdaac530d0009b7bafdae68", "4338ccdbc0407d0ee8fda202c251163e7be49c90", "5437b5cfb0f8eda908559a16e7ed7d7b64be641b", "5ce63df36f893d2ea13b58a20e58ebc0854ef4f8", "cf3250327b9c7437c3ef95b868ce19a0e35f6d82", "b4a16fe1469f2048d031db626b7cbc5bec7f4055", "1d122efc1469e96d71497f0931f502fa47ae344d", "d4b88be6ce77164f5eea1ed2b16b985c0670463a", "5b73bc1660b7eef0c12694db935854dba0829f9e", "cb254fcaa1219f829793ac4a0a1f4c858d853c04", "0dca6aa1c0143aa190973fb2256c16d700992473", "d8d274e679d8ead02a38fb2d6b3c100ccf99fdde", "5efbb135fd3a49de6ca1b69ef583d1bcfe761043", "964e43f4983a42ef3790c265bdce42c1fce56d79", "2921719b57544cfe5d0a1614d5ae81710ba804fa", "f442a2f2749f921849e22f37e0480ac04a3c3fec", "52909a123ba3b088a5a93d930dcd029ec2f1f24f", "6075c07ecb29d551ffa474c3eca45f2da5fd5007", "bde8271f6f9afb58008c3409cee9b1f8a81a0e3c", "63fac08993df90719a52fe3f1c928a03bddc333d", "bf39babab5648ff64cc4b79bfec96e8c6c93b812", "d3ae825a19b7a0b1645412368403814dbebcd113", "5998a015a5f1b72761256759808f9529a7717058", "3399021c2cd7bc4f46494c5aa38bac82ef290e7b", "fd01b62a8bb76798e93cf927e3aa823961af81fd", "4850e40b0e69e30723cb027fdc4a38ee1322589b", "7cb3eac464ad6607819f45e920c4784ad631e0b9", "58da4e59c4d259196fc6bd807bc8c36636efa4ef", "6b18628cc8829c3bf851ea3ee3bcff8543391819", "6d994076a6ef3b6e74e2a0149af759e48b71f9a0", "537fbb3d5216333bcc91730f3ee61ff71f710e37", "53ce84598052308b86ba79d873082853022aa7e9", "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "13d591220f9fdb22d81c2438a008c80843b61fd4", "1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca", "15dc50e3bd1063c3760e1c17177a0e898175c61e", "f5c285c3729188884f448db3cc60647f15e289d3", "8f077eeeb9678a31e77a17a5c28c36699cf13f83", "36f039e39efde3558531b99d85cd9e3ab7d396b3", "d7b6bbb94ac20f5e75893f140ef7e207db7cd483", "a75243922e0a5df5d1bd7d990fdb612fe9f0b376", "a3bc6020cd57ebe3a82a0b232f969bcc4e372e53", "7166c7a4d1e90876899d61e3fa4e30beb5f1ec9e", "221c9fff1c25368a6b72ca679c67a3d6b35e2c00", "d3afd1ee9bd0402775227505ea506cc52a0c18f9", "0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad", "53f8f1ddd83a9e0e0821aaa883fbf7c1f7f5426e", "c901524f01c7a0db3bb01afa1d5828913c84628a", "abf0e3ce602287875a2d1ddf1bb4ab76eceab977", "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "686dfa9c12ff5bf0a3b1707c6637dc8f4a606fa0", "22032c78ff1e89b45a815f5caca35756d935dd5e", "8016233d289f4d7da40f3fcae550b29dce2acfc1", "51ed4c92cab9336a2ac41fa8e0293c2f5f9bf3b6", "a5eccba8e68fe72a4f5f3ab593a2d507a5db7c4c", "4344413b7814b2ba99cc79ead2903f259e98ed4b", "084f1a6c62a3464b1a9b745fee40af2895920301", "83b79e4a0be3db276b12ea7164cded4b755cb215", "2a77e3221d0512aa5674cf6f9041c1ce81fc07f0", "21a9f713a664374bfdcca6f4c8f267b85e63ad7a", "367c571480ac46d48be050dee4e6103a0ebb5db5", "79dc9a1aa2ab7fa46e8024bd654a4a5776c1a6d6", "da61e3f62eda5e1cea027f73a156da36262722b0", "32fca37dcd496dc4306fb19be52f0988a742e4d9", "a6190a778a4e343ceb60bbd738df1cce094e7332", "eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275", "229317fe9b066b6f6f4961920123a03d777dd283", "5fac23560b5ba4d45045f1edd837ed4bb6c1f5ca", "ed5fdbecb5f655333b3e24d448a9665d18e6b5cd", "d341ff4e93ff4407251d00417c9a756a68b6f5be", "ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba", "6c964e59bdac6b8044993ca96b47a9a0addedfb8", "197598af5be60fc75535c2f90849e60ac7122871", "00d6e5a1b347463f6aeb08a10cd912273c9d1347", "214e544d3b01ddbc24e3093bbf186fdecc600342", "f09c9adff8f71c1be5ebbb1bb01d4d762aa385e9", "b21b860cf21edb2e57f62b665203e5d8b64829d5", "6d838f3628dd3e8cdbc7da0b1b472c8c71eb0124", "418b106e1f072c4da400b516079f429d84cd7305", "c4330fabc238fa114f0b8e7b1c099e6565026cdf", "0f00a04c4a8c92e070b50ab411df4cd31d2cbe97", "88ee6d0b8342852a5bd55864dc7a1c8452c10bbf", "5c2ad03a1f8f08a44c597870a2d3f9e518833668", "f2ad9b43bac8c2bae9dea694f6a4e44c760e63da", "8023864256a1a4a26e130a7165f3d70875c27467", "cbefe7939bc7f44274ebbc161c14054b55db9af2", "749146938bb9c953348e105acde9f261f15fb2cd", "aeb64f88302b9d4d23ee13ece5c9842dd43dc37f", "912be40bda22038783af2bc0919fa181097c9f6f", "3a564db6701cc64a4bf336e6012ada0952fed02d", "e74c4cf90c5bbb88a8ae77aaa5709984f7e6a80f", "49a7949fabcdf01bbae1c2eb38946ee99f491857", "6baacb4b67c5dd488e0fe29a6c508c20e034c345", "c28f57d0a22e54fdd3c4a57ecb1785dda49f0e5e", "4d848b2055e1bba4ce80d5d050879c26686eda50", "ccf05c83dc1d9cfe2ef34d44e993980906720548", "d5194642b3c68920e9fbf9839f5704db5a39ae9e", "69f638309fe692f7d57a72d2df8fe2bf1d81dff4", "9e194413f10ea3385f063de87e15287072ac357b", "fa4a215cf6ae71c2c939375db7f5318f644c976a", "55924c83e71fef6ba8031715df72e1d85cfb1516", "06cdd818d3908e9fa05381a069bb99596c17ab33", "c41afaf882de1c7a94c05f881a7416bb60cfd0e8", "e0611abbdfac10d1d9183a437f027094a26c0cfd", "880d024d830fd33c44d9c5e37a9c257966c27fe2", "99cf068a2c453785ebd1b109ccfa158bd3b62803", "619442b4e5503e80941ce7de87eb12da0cce2b23", "3607afdb204de9a5a9300ae98aa4635d9effcda2", "1d126e871e81dc2828685cf6112cb955bd9aae15", "d31e47f45041736c93ec23ba1dbaef6c311e76d6", "22b1c7cc6ba65c5b5274ce4e8f017a6c1599c088", "9c1b132243e0dcacde1717ce1cfe730a74bd8cbc", "c51039a4cbfcdb0175f15824e186998500f5b85a", "49612f6110f6863159fbd0e0be1253845102f0ff", "254d4206f4a68862e6e6c45b0938868e84cc67d0", "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "45c824c25e66b7bc1dd474f80cf2b0056b4fa6f8", "bc9c4b5379469a03415b5b35f8b627b2fbdbe967", "c59817e6fa375f715420d88ce024777b2961360d", "625fe925c88f642d8e082fc51c851362f94fafd2", "eefe8bd6384f565d2e42881f1f9a468d1672989d", "b9df25cc4be2f703b059da93823bad6e8e8c0659", "b14fb84db85ab4bbbcc8c92200e9c69b00737f91", "0d47b2b65c5c42291e90c591212e4e0b574a95c1", "57ba4b6de23a6fc9d45ff052ed2563e5de00b968", "aa17a5e76ae21d0d068c7f10a4bb24c19888b685", "e19a4dadf60848309c8fd7445d97918da654df76", "a7d7fba176e442f60899c57b976ae6de6d013ceb", "c9fddfbb8fd4b83421cddfc1495dfb4bb1f9ddbd", "90bd16caa44086db6f0e4bbc1dde7063cb71b7b8", "326611cbfaea5a413c6f9496bf96b27267a7f273", "e181aca6e4b7142d2254a93477170e75c335d616", "0cdb9f0428721f848ff676ecadfaeb99896cbd13", "aa9b924c88b75909871585cbadbed2d76df7dbdf", "1aab5662f57ceb813fbe5233f8b6fb5868f5d9fe", "70769def1284fe88fd57a477cde8a9c9a3dff13f", "7a870f60eebb2c7417140f8ab48028a0f57f7b42", "307ed58717ecc925bdf3f56da4560b44ea6bc312", "84844478ac95e3dab92f0d574688aa468a84961f", "31abc53cfaeb5181765917dba03c85a9e8de3c26", "07f31bef7a7035792e3791473b3c58d03928abbf", "00fb2836068042c19b5197d0999e8e93b920eb9c", "38211dc39e41273c0007889202c69f841e02248a", "59f83e94a7f52cbb728d434426f6fe85f756259c", "fde0180735699ea31f6c001c71eae507848b190f", "891d435fd1a070bb66225abfd62b2e2c5350e87c", "95fb31beaa745557fa33ec4f670ab4e130ff5bf4", "87ba4cce558c2defde90f4b42853262fd572ca3e", "dd2d952e5dfad764649a1bd9adeaa429f0998c12", "bd766fb148c419673778cd026a8c4e8c5e4696d2", "89d4f8bde129198f41f454b2fd9bf29fce809fdb", "76b9fe32d763e9abd75b427df413706c4170b95c", "29f5ed1693511c636822b42db76639911bdeeda4", "35a2b1a8ad8c67f3bb0961f690f407124e61c9ec", "a716972c8d3e6c25343c07c01361375bcb34118b", "d962dc575bcbb054a76385b7f2d446e83f17d1c3", "d275714c323dd4e400e8003fa8c33070f8ea03d1", "666ee08d9486645a3a0a9e5354c248dccd9ba0c0", "617a6935643615f09ef2b479609baa0d5f87cd67", "df30fd76934092a4aacb850bf5ae5520b22083ef", "4f507eb9823b13f1f782d25d6f0592924c087562", "64d795ac6b90f1b7dd227e7e8f24a614d18aecfc", "5d1c4e93e32ee686234c5aae7f38025523993c8c", "07d7889bf4b7cb19d4a8d09996311cbec2a3da33", "fbc3680f14f057a62420e5771250465768a75557", "f3a8e2eb5190cadd037b722e7c1190c2d1148f10", "af31ef1e81c1132f186d7aebb141d7f59a815010", "ac0131ab219891562cad7f5d83ec910216e3a94f", "93a451b5efa21887dae43eb73b4793ae3d184138", "110a6a5304c6773773a0cd217f3e9d540b2f698d", "0c852df66ccd97f42317b8c021424ca6f93721b7", "85639cefb8f8deab7017ce92717674d6178d43cc", "fff0a848b57361e1e99548c95fbc2ec9ae00ce32", "75fd35b2048407f93d7bada8edbb7628d5a952bc", "7f3a73babe733520112c0199ff8d26ddfc7038a0", "2f1c3257ced690a0e1c38ddf7792e36b24fcc8fb", "b27322d8b0984ce3b756f2b7c43ea698d635f2ef", "7d82e69d6e69cab9951bc148bbf867a0a69dfdc0", "3c4014886b3aa01024e3a1e81823a95a57fcf215", "b542f58c1c9abe627638e9267040b397b6668374", "d28d697b578867500632b35b1b19d3d76698f4a9", "5a5ae31263517355d15b7b09d74cb03e40093046", "3c8aa33ccff8f959df28e4e883867af32e7b4b78", "f3cb97791ded4a5c3bed717f820215a1c9648226", "98fcf33916a9bb4efdc652541573b2e7ef9e7d87", "b7cf7bb574b2369f4d7ebc3866b461634147041a", "745b77016f972288925602d0d67bbba7d2c0fee9", "7c23bdcee91be4426c77f580e79462ffe7f52df0", "6c62c592d9d3090b446cf76147468a6190431b3d", "468df6f105845fd82ceee75478e2f61489359075", "5bac3437dcdfe482b406800f38c0b9a5ca9223ee", "bbdd99189aee252adcb0ae80d094e2858c645a78", "f4140100f311ba899b8ba661de17600e91cbb129", "c4c41bf777a1dc0ced43ee64bee683be092e297f", "7b4e42f4dac397e5214d957f75832e58d6f28299", "5479da1038a530beb760a38dbb5b08947dfaefbd", "8780f14d04671d4f2ed50307d16062d72cc51863", "c29e33fbd078d9a8ab7adbc74b03d4f830714cd0", "fd068e481929949e0ab792835a943043638d1b9d", "ff62415c8685d6beb698960b7db3498b61ead423", "82524c49ea20390c711e0606e50570ac2183c281", "829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a", "ee6e5a67c0504f77ec96121106ae88488da0536b", "c3561494f98929d8019b0b0e9481b2e79424f60c", "a9d1d00d6897ae23c9a7e9fb75a3c7417a6730a4", "5f7ae1e13c00bb58856374b9888f1ddf73c6865e", "1ac8cb17c278fde95d76cdf066720195d115d265", "4d0ef449de476631a8d107c8ec225628a67c87f9", "7a9cd340fc4f81469bb379f74f39a90a7c8c2534", "3333b35ddb698be76dd27bffad131c1daa694bf2", "d590ca357910532cc62eeacc56af8f86b9fe642b", "2d28fdb8e067b15c70a02729f49b23d75551a300", "35047c9667a4c5160f9f40f16b455839e63662ff", "1fee632cad6a3853cc43621ba50161f5dd6263e5", "2c53cb4222cd9ccc868a07d494b8a4ce102658fa", "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "7a9ef491914d515bb5570aa9b3a261d42d430b86", "30457461333c8797457c18636732327e6dde1d04", "a6f13b609450139d09a97d0f18033cc45f5701c9", "80c4f5bc43f21041343c6d7a61cdc281cb36be07", "96d34c1a749e74af0050004162d9dc5132098a79", "3fbd68d1268922ee50c92b28bd23ca6669ff87e5", "58493390be8aeeabbd974e3d81f7db49af1ceed1", "0328b975b11fd4153010535d1a06cf618f9b0c91", "97e5beb344cc68fbfe19a34e061f886c962c81e4", "076c97826df63f70d55ea11f0b7ae47a7ad81ad3", "3abe50d0a806a9f5a5626f60f590632a6d87f0c4", "434300db45ea1b0b36b0c606ca728aaaed235275", "8028b9bc85b64f3b93d936ab2bd05ccf64a92bc3", "af6b14c0bf427b22baffc06a0bd515b30649d8c3", "9c5c30e396b307010c374ef3730e84f6cf763205", "8ec7fff88b2e5b49154e6654e5e27f6678ddb7f0", "cba987b9d2da056c23e052705f0eddedb12b086d", "91d6d25512e3297830b7d8b330f311656db09831", "05f2c7cdaa237e42338e2f626af1fe79fcc4bf21", "280bc9751593897091015aaf2cab39805768b463", "0318c3a969d714581fee93324f5fbe6f5ce685d6", "a7a8b35aef658490920d62623870606c46c95c15", "80cef64706957c53a31b67045d208efe39205c9e", "71ed20748c919cd261024b146992ced4c9c2157b", "f2cc459ada3abd9d8aa82e92710676973aeff275", "4897bb843f0f397d150f4c210a3bd9990db881e3", "79033ec1b2c86034908febd444d6ed3c753e17b3", "ae419d28ab936cbbc420dcfd1decb16a45afc8a9", "1db44d94f6a4eaa3780c251446fa0fba14dfae44", "3a3aff63229d6b6e5310985d2c7fc18808895b7b", "109f2ec25cff824458328eafe53dda07abf4da94", "085913122bb75391ea8c73f2625f4679fe9cb3b1", "0c4a139bb87c6743c7905b29a3cfec27a5130652", "c83dba889132f0d2b909474e5e187f254bd09e29", "beaac021fa41904ad8247936bccdc7ea17ee9f53", "7eed1dbf1d09dd48f75ae25c5e39182afae6862f", "380862d22617064ffab1a3b42f0b11752d6bd785", "7589bded8fed54d6eb7800d24ace662b37ed0779", "d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3", "224a88f8b4afe8e6dfe938a8baef491c5dabd85c", "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "9a912a17fceb5ec5a0ba230f74db2701d18a2937", "a66d99ea07f72281a6e510eb2a9fd4b0973e16d0", "05bd6c2bc5dc6d65c48c6366788441bcfdd9db3a", "60cdd2ae71d39f2a8a3c6d4c22284a602428b347", "4da80ad59adbe530838b5685935b488edab07c7d", "95d567081510e8e59834febc958668015c174602", "bad65ef11c58c3660febb98abbe9f86e2b8fce11", "c45183ec95f89aff793a2629a0520006b4153d6a", "f07468f7b23a4b5740787a7d9d2c7706991b51ed", "a044dc0ff3fa2a8f0a80afff9eb2cbc762996e3b", "0398471b52cac8dced1468502cb782dbeb38130d", "13a82da2bfa24583caf78ab1d14b5cfa4798b3b3", "e194cb0077bf84eeb627b7772336421064a36b54", "9902acd6ce7662c93ee2bd41c6c11a6b99ad8754", "43a3f22926bbc7ee3419a8468255bd42ddb95da1", "591db404f6d8e3f37c12752b0f9173ff1a475598", "0922e7d583d02f6078e59974a3de4452382ca9dd", "bcf52629788e210f9c87945fa9cf792609e9154a", "68d7be102d8b298d172d120d5a7ae1bfd5b8ffb9", "e984017c5849ea78e3f50e374a5539770989536d", "7c87f445a15597f603756587e0f9b8cf4d942ecc", "0ba67a76c6e7d37d3fdc0017cd40a68e503168f1", "241416b1249d2b71b373f8dcf054110d579a2148", "9401465784cb5107cabb87d7c2ffc0a594e1dafe", "7bfc38e15589f9ffb471e152297f5419fdc9ba8d", "0098f42c6f24d5e6d2471c1d7d1e864ff8e83226", "aae29ef5ab6f9f24e8ab7985386c23294d2343cc", "f6b8f8511f8a66209ff2e7f163f9265ac077ba3e", "a6f858256d209c62e869af60a0f347f7cef07281", "04e06481e455c6eb838c22e8505dafc01b7d0cfa", "bef2854893462ae28bdb2243bba4d010d3909289", "20f64a00593ae2c6ebbe87b41394335152f9b165", "930b3472592ced6665cd630be7ae57d4abb8b4b1", "e98022f21f7d31a056e027bd1d499a5285ed52f7", "af80dfe0dacf992c49543a4bac53d1974cb70e2e", "7aa83aee1e8b2da7ec90c67e63161c24e85f4ba1", "001d909eb3513fb6fad8fb2355971441255458c3", "34d62a259bca3b83518d45d9f0b53cbdecf973a4", "e4f3e0951fd66abe3b5dfbca88f676df82846214", "0b0b1632a49861c2fbad8b6c4739760195524c27", "0a602b85c80cef7d38209226188aaab94d5349e8", "a35849af340f80791c4a901ec2f2bbbac06660f5", "50978b4e9bd0357dba7f16440ef8bebc43e82f9b", "be1dd7faf6c495e628877332d44c0487c225bdcd", "5160c734bfae7c3649c81ea36e4a607e3df241ab", "0e48cbe35ff94884258b4058721f01143197e845", "882a1c2c17fdf692605397f05b09d280a8da59e9", "077492a77812a68c86b970557e97a452a6689427", "2c3b58b8103d80ef24241c938837ec18690f5b94", "31fd53c2942135e35f83566d58e693ffedec2369", "cc098a0f390573237f2f7211ccf0643cd1ef3c66", "1b5f80efbfee767b318a7374cde4e6d1a6a91607", "2713cafcf3d0aafb558d13217d649c93fadca56a", "dabd3f276bc815865ab7c9f375368a1e31903860", "1cfbc68d06c2f3706f819e4f53ffdccec0ec899b", "c444c4dab97dd6d6696f56c1cacda051dde60448", "0dc4231b9fe007eb891dea2a51d2bc3c6e3e1cb4", "533d70c914a4b84ec7f35ef6c74bb3acba4c26fc", "b1a40665eb4c0a4c6978e84539ece1c0f406b8f5", "fd7c9d90ade72ad96990b284004f672a482029d6", "48c9898a14191c478d623550fbb73fbea92309aa", "612b8eda338fcde9400ea93779741282fe4132d6", "ce85d953086294d989c09ae5c41af795d098d5b2", "f7329728828f5043f6e2c665b5dba2dcb45628a1", "8620814aa00631b03195e183c1e86d24b1c5caa5", "433fd3234c13dfa73c93b68104f568f479481eef", "2135a3d9f4b8f5771fa5fc7c7794abf8c2840c44", "841bf196ee0086c805bd5d1d0bddfadc87e424ec", "35917932a9a82abe1ea6f2c66d456612a3a182e0", "323ff022256bdcad43042f3c12f749598ca66338", "e273fb43ca209a33668ce389c929db42b74b0968", "0b4b5747146d77ead155e3698885bd464b5e6f56", "6b356d4ef84ebd58b93ac4f8b738dbff944a829a", "66cf52b29ef32d5a13c646eceaca98cb08fee6ba", "0b87ba2f756cb0f1a84ce6abb2574af27d3113fe", "67c08e2b8b918a61dcbd0d4c63a74b89b833d259", "30d5bbfb35a0d534c39ba709a3c625e9965d2985", "299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0", "e506788b911aa7f55f44e047b79a242334167d5a", "abb4b8f9df14f7b15aa43920d0329eccada33b97", "b755505bdd5af078e06427d34b6ac2530ba69b12", "c61743d4230bfda7e4497046fba8b132ed221d23", "18eb8e376ea07f8ff68f7eaee16e34fcb0c4b23f", "eec466317c83e8093a32b978e753c3fc8f21d21b", "4a763a6e161d372f17fa591c35932c4f62e3e12b", "6d10c110adaa381084c0b8ed2fd391d1fcd84a03", "3ce0f48106fd872e2c2327596c2677c4680444a2", "13425bb41d326982ec6b3c6f3034aa978a1300ac", "e5c22faf19bd7ab529ec7c39e4f46e8116211679", "7ef41e2be5116912fe8a4906b4fb89ac9dcf819d", "91a5897565818631a32ce4edae5548d2baf99d77", "f6488c7741eaddf6cbbd0b0728c48fd8ee1c00a4", "178a82e3a0541fa75c6a11350be5bded133a59fd", "bdbded88916307e282a22dadb7954a4942300908", "df3d69acbaf1121798d5c7eddd8094fca3635466", "6d66c98009018ac1512047e6bdfb525c35683b16", "35ccf703df2dd37fc857ab9b438e18c9a65ba5b9", "1182323392b11a3de72b403c1ba3fba34f547faf", "2a0a335d4b2183b03ea8dfc27e31a1891771c4e6", "aba31184783150c723805831cde0f22fe257b835", "ac942c4870e55fe1d9822d62edcdb685d41cd2bf", "11bda1f054effb3116115b0699d74abec3e93a4b", "027f769aed0cfcb3169ef60f182ce1decc0e99eb", "18c72175ddbb7d5956d180b65a96005c100f6014", "a65301ec723dfac73c1e884d26dedeb4de309429", "166e5efacf632f18de3476cc5a942a20d017e68a", "0b32cd6dff1561889652450cac5c1abb9833557d", "5ab4d05729884f5ce806ed77f38b3972f3b430f6", "5367610430dc0380dfbe8344e08537267875968c", "6dd850acb928457ffd44e5d9dceb7946a7f0c6ee", "05fa0ce63fb55a848d5ecd6cd1c45d3174dd889a", "05a35959c6822155bee927305e799613ce99cc2f", "82b8a0c3e8f46ab0af5179a9d9a6b137405096d3", "cae17fd058a031515ad0aa6c0f5da5fcb5f681b5", "50b290b0b2d14a3f0f9cfd17b15d87b91d76bff1", "ec1a57e609eda72b4eb60155fac12db1da31f6c0", "f4eb8d918def78f79adbb51d11c81793d5bcf0f4", "18b4e9e51ee14c9d816358fbe1af29f0771b7916", "0cc3c62f762d64cffcab4ac7fea3896cb22a3df9", "c126f053855396f9e1ac1a408201d50d5280f79f", "cdb61fc4841e68c574f87137d93d8c63aca4ad89", "13791aa7c1047724c4046eee94e66a506b211eb9", "124476c2815bbfb523c77943c74356f94f79b580", "20675281008211641d28ce0f2b6946537a8535c4", "0e0bfe54d1f6ff1ad831c552894ebed09e3e485d", "d0318d0e1f87c16e1e4718b8166743f617c62a47", "cee80d22cbadad649424bb60a548fad7fb437e68", "385fa8768d174a9044bc723548a7f8810a62606c", "478f1dd9eb44b8de17fc3a7a0e45861fe7bf0fe3", "2cae2ca6221fbfa9655e41ac52e54631ada7ad2c", "3909f51a6850436d7e1e27ca2a16d6db49773870", "cd841bdd90447085542fa3a6a422437e97edddc8", "bc8373b3d4110786a597b21f3ae9c8e5ffd34a2e", "7be351e731eb9c3b71ad0c2a47ee8d300f7049be", "c70ea40140e2f73e78d9d54335fbacce46d4d0b1", "2e6e335e591da1e8899ff53f9a7ddb4c63520104", "2cf40b684c0cb789ed8d9f8eee0576f3b3fec98e", "95738166f0e8e66af1b23e28af2a6834c86e12e0", "157f95439cdc50f0903d59e406964dc2bc4b4d1e", "328bfd1d0229bc4973277f893abd1eb288159fc9", "4ef4553de88191fd46ec8000589c3fc1988f06b5", "1e472cf9a290e8f59573628dba426cd6d74411f4", "ed12b0a9d2bf6316b32a2bd143f33a85582dc91b", "7438582019689ce42ba4427a24bb7295438f82b8", "a432f815d753121267ffb524f8fabac21be32733", "756083723f91af82e55b8ad6b4ea7965d46c4ca8", "614524b27188bb8869ec7a5b374c2a9874f96ec5", "c22df6df55f5c6539e1a4d2e2d50dbaab34007a7", "2eb610d67ac07136fce4d9633edc28548aab76c8", "33648b41b4c9a776dc059bee96d6df994009828c", "432e097b6212c1a37e5d05f0d6f5a8c44746cde6", "4a9db3fd76ad7d2d95f862d50e97247f2c16502a", "d16f37a15f6385a6a189b06833745da5d524f69b", "ceaf24a1c756938125ef5865ec2183730385d7ea", "fd6d4673178cbecba3b2535c740f28cbdf901f13", "75f0d2d8aae00da73e4122c712ad230cfebe7729", "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "24d3e695af619e88613aba7dc0e7492c12fa4d0e", "e825811cfd92a8be5be2caee67fc7a48ed2f5df0", "1c2724243b27a18a2302f12dea79d9a1d4460e35", "2e2935a7489ae55fe36af6980523f8d587c18935", "b29f348e8675f75ff160ec65ebeeb3f3979b65d8", "831cbffbfe39a059b1212d49e8fdfd458d1d01c5", "82a610a59c210ff77cfdde7fd10c98067bd142da", "f7c155f9bfb55ecd7518feb7cc8854aee36b43ed", "7d7870b7633678db2d39d4a5d69d10337ca827d9", "fcfb48b19f37e531a56ae95186a214b05c0b94c7", "8ed051be31309a71b75e584bc812b71a0344a019", "5173a20304ea7baa6bfe97944a5c7a69ea72530f", "fdb0472af94a726897c20b6b181c6d71ee293e71", "e8a5800db4b7609e3a55ec4b904b263cd359df2e", "a80d057099a6ca872508f5d416a8cd67b788506a", "dfa76da5eb2729059ef303cbc25e01ca30383615", "8e16ca7a91aea52788f1ed5ce12c906117a56cb4", "2168ec12eff5c3d1ff09d0f3c13d6df5b5061164", "1a5a79b4937b89420049bc279a7b7f765d143881", "d74e708a058f0590c7a2ad679af483dad46acac1", "dc4089294cb15e071893d24bdf2baa15de5dcb0b", "2713423d87d011c0a5aae99bef57523769121a1d", "d002ffe37c71e32361dd6126ae4b3cf4bfdaa7ef", "43a03cbe8b704f31046a5aba05153eb3d6de4142", "891b31be76e2baa83745f24c2e2013851dc83cbb", "f59ccad6b7f76bd8cd5d6bbf867b2236c9b01e02", "2e5291fc3c0c0c6ac3a6459d63416ca6eca3cad9", "1d0cbbe466647286bd73d41032a418b0e2265e7c", "96d3280d7af05eb1968aed07cd50c305952cf83b", "c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "c1f07ec629be1c6fe562af0e34b04c54e238dcd1", "4cfae149d6acd8cffc12c06ed796f1f84dce0e73", "020f5848c11b43ca5f7cf02f9198649895422426", "c33c8bb663f651918ff8c4ce04d941e1d2e9be0e", "47d32615dc396dece539b664969d2e102f5b0f63", "3e72a9a5b7d184b72771ea4519cf9fa0253cdecd", "643d11703569766bed0a994941ae5f7b3e101659", "9a5e36c0f9b802cd346e3225c0b04ab9dda496d1", "711f6446d0b3897b892c5c19c7d88fe50424eef9", "282e2f52d8dcac36c8c1a35cdee66da52a07e2ea", "2d8a84a8e661ce3913cb6c05b18984b14ed11dac", "a82b47e94a8982b9c1ca4bfab54ddeaf856d0be3", "56c273538a2dbb4cf43c39fa4725592e97ec1681", "0fbe38527279f49561c0e1c6ff4e8f733fb79bbe", "ffeff854e7fcf5af663497be00c86537f7d9ed11", "144523508d89f164c61924a4c4fa6946fb5545f5", "8009291e2f52d8bc586b5e0be9aa1b91ce12c711", "8de7c496c1dac3be5fa55de72867325153b119bd", "998cdde7c83a50f0abac69c7c3d20f3729a65d00", "ff60f453888ac00a0e0b6f1649c1a699515a955f", "42afe5fd3f7b1d286a20e9306c6bc8624265f658", "62857147a6809063671614d62f43605130757b1c", "edc6d96ae195897b33c07f5fa428149915b4cf6a", "cdd2ba6e6436cb5950692702053195a22789d129", "dae35f1f2c581d9e632cccb8d279b56a4f1deb79", "23ee98fece06ec19bbdc399f1ef5412265275f9c", "dcdedd9f4f3ba370903c2d0c976f82fd63da6266", "ca2e14671f5043dab985dd18e10c5e3f51e2e8be", "a36f79f541a4049b615c8e12531a6e5ab88d1aae", "c2fa83e8a428c03c74148d91f60468089b80c328", "fb2ac6befd22fde3e6cff180d3431f02c81bc32a", "1b3e66bef13f114943d460b4f942e941b4761ba2", "422ca72f0ce9d63d2fab1ecc7f3c77e5c0fbfbff", "4cb8a691a15e050756640c0a35880cdd418e2b87", "e533d2321ccdd69f64be60ce1e503c09eb3dfed0", "1d5219687b9e63767f19cd804147c256c5a5a3bc", "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "ccc874b0d73690d18a84229f40af438696fb1b27", "843f873c08df64431baefd79e83e4b70236427de", "05d7812269e8a1c229e45665efdf88eeae605dfc", "cac24ea3b301c4aba0f84470b175198c10d03199", "3528125426646dfb7b9ec2bfb937e1e70028bcbd", "a1c1970f7c728cc96aea798d65d38df7c9ea61dc", "d84d48f842d271fe3e02da1a55d8137da5d4b756", "b55058e3a67677206f0b0816abf980ecebbfef86", "916498961a51f56a592c3551b0acc25978571fa7", "a2b24511ab903adb0529fe36d043dde64f15abc6", "bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8", "8d5945ef2361511a17719c9efe9e2d005247029e", "db30d798655d2f66c55814f4f884369b85c95a48", "96813c14f3de1b8f7472caff7a99b4145267f25c", "5828c50ddde3b819403ca9c447f65d0a2accaec8", "4707175ebc50e4036412f441a7cec6673c4ad31f", "7c5c4ed47bccd0016d53b7bbc27a41dd74bebf1e", "9019ad9140383a406b8d87a2dc9a99ab1d16aabb", "1176a74fb9351ac2de81c198c4861d78e58f172d", "f65ff9d6d0025f198ac4f924d2f0df121bc51c67", "311848708312ccceaaeb82bb7dce31db5e63a7ed", "e0b6defafb69fa3bbaec279b3cba92edf50c760b", "a9f15f6a6d94e5fa421e592ce1e577d1966af954", "bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d", "c7aff56c47c9b26691b420ecfc72caf4901ef606", "132cc530230cb869318b0a9d81a717077895db38", "aaa4c625f5f9b65c7f3df5c7bfe8a6595d0195a5", "46a29a5026142c91e5655454aa2c2f122561db7f", "e7796cb863c1e25b393ef05241e222a6355bd4e4", "18638b148424081fc36f63755feeee6e30285f87", "72fb849144aea8e01f141419914cde87bb7972f3", "5c707dc74c3c39674f74dc22f6b6325af456811c", "761db68bf6031545cc865a813f398cb4ee8f61a1", "7a52eb0886892c04c6c80b78795d880a70796cb6", "a967426ec9b761a989997d6a213d890fc34c5fe3", "35cdd4df9f039f475247bf03fdcc605e40683dce", "59c194bc84d604baf09241238dc47806a998df70", "fb36f2badc18977f469fb8b8be54a4a6f9ba1068", "d5e1173dcb2a51b483f86694889b015d55094634", "ddb49e36570af09d96059b3b6f08f9124aafe24f", "3172fac25c7bd516867933487b8f04c0e23b4f43", "403b4deb13545144a34bee855042877f8b0ed809", "7d8354627468f1cb236c9f6f42c317c9c09f0c85", "420921277310ea97a819e676f626dedec734d4c7", "d31bf8f6f9404a0ab2e601e723b9a07287d0693b", "f9d664c21d4693eeea04c824f301694dc5de4af1", "0480b458439069687ec41c90178ba7e9a056bcca", "0e9ea74cf7106057efdb63f275ca6bb838168b0c", "31daab398f84819a98c966801a3795140d080c5f", "b65ed4a745168ba5a336a593635fcb3f3c3ae60d", "5fce9d893a40c4e0f2ae335b2e68bfd02f1cb2c6", "62647a8f8a534db2ccfd0df7d513b4f084231d10", "fb1919aeaa26f2c559268c52deb68463ee58abee", "a40476d94c5cf1f929ee9514d3761dca00dd774b", "ca30c8f28642303e8f9095fa5d1e908f194cd586", "699ee890e93384b386f1d44f011ee47bd8a17b07", "e4691de78d35ed7085311a466b8d02198bf714ac", "dbc749490275db26337c7e3201027e8cef8e371c", "db9ef28cc3531a27c273d769e1b1d6b8aeff2db4", "b1898f8fe31147779a841f56795a776db6699efd", "23adc523fc790aa0ca450f73a44b71a792bdc85b", "b0b49b1626a9c33843eff609fdb42decdd1f8b90", "cfdc4d0f8e1b4b9ced35317d12b4229f2e3311ab", "11fa5abb5d5d09efbf9dacae6a6ceb9b2647f877", "fdd7c9f3838b8d868911afaafa08beffb79b5228", "bcaa5fab589d95890d539a3119657fa253176f0d", "9f5fbc661ce13d1f946f5d3c5b194aab71e0511b", "787cdc730b35e380f0d33aa1b3428f3b3b1666e3", "be84d76093a791bf78bed74ef1d7db54abeca878", "af36ce6d1f2cbc61dff80526c530b714f797cc50", "be66c2638b86964cbd67d66a8a6bc8346a06fad8", "783f22f9ad77e437438f24f2d0a7c1397468ec88", "708161b78b049fe9891a8fb2b2e6cd1588591bf0", "309e17e6223e13b1f76b5b0eaa123b96ef22f51b", "27d2e977356915c63c4562fe41df9e9ed0290f15", "e3f6108163b64ca4aa94d9be77c753b377fcda87", "6b4d1c0ddf606c84148edd889db231f67703ef3e", "db67edbaeb78e1dd734784cfaaa720ba86ceb6d2", "7264c2a8900c2ab41575578eb2d50557b2829f84", "53b8288f71340a98c2531cd3e152c94613a38cae", "4ee2421bdbb71712522b0db86864fa9ac1474582", "2fdcf1c89b231ac4cff03fd6768583b3d4400b41", "e59adfa9ff6377f54a5514701cc783cf8ff79628", "12c708a709480722aae9324648d0404ec55f151e", "c599e49afcfc0aa4910cec58b5fc1198153514bc", "514fb60de79497ffb4b9490e12b11a9c94036ec3", "036f2001767de3d9b6b396d2d829f8f030b056b3", "e5c468c859faf03954d9440fa33b913d01c65141", "dcad4d6a6517dd2f76dfe3c8539333d9e40ab90c", "3ca9453d3c023bb81cce72ff2d633fc5075e1df6", "fb6ebea810ebddc0c3e598e929369e395e012da5", "2acf319c5eac89cc9e0ed24633e4408dbd4a8a5b", "3f4f1cabe336948b80c819b910581e0f338c4b4a", "2ab214d5967f964dda4e6610a9694dc4bcb44550", "e072acd8a041b90cd86c39f90f235eea7feb37cf", "db3e78704df982b2af92282e4a74aa3b59ea3a2e", "35e4b6c20756cd6388a3c0012b58acee14ffa604", "d54f508c943b8415bfdd30d9210869ec93ff3f03", "838ed2aae603dec5851ebf5e4bc64b54db7f34be", "20100dbeb2dfebc7595d79755d737b21e75f39a6", "f60311fc10d41aaf672b9ffccb815e3d5300678d", "6fe83b5fdeeb6d92f24af3aed6a34c5bf9ce8845", "140eaf273eabe233f67257d1ae7ee44a8f21e502", "32420c65f8ef0c5bd83b14c8ae662cbce73e6781", "01d94d568447075d9f32f6c1e7af9255188a6938", "8b5e32389af26e86e0b00f21d48ef938c3b6c699", "a632ebe6f1e7d9b2b652b0186abef8db218037f3", "eeae5d972fd093786acebf884a915924f9d66d0d", "6cd497a9a66daa2d0c867dc07412d958791f3499", "8768b8a972debe697ee5f8c3bd67a6df6ff44977", "69a85d31cf3c17ea4e8b5ac43062d5332f463955", "2a2df7e790737a026434187f9605c4763ff71292", "327eab70296d39511d61e91c6839446d59f5e119", "649b47e02b82afeccc858f1f3dcec98379bfbbbd", "a6f13ef1eaa93b8532be9a36815e1cfa25efec6d", "5f11893a16c0c2c6b685befe4ac23e86c9e9f59f", "3f5cf3771446da44d48f1d5ca2121c52975bb3d3", "06b72db17f9af33996f97f45eca1473658973286", "1505a18901aeffeeba6aa48c54775a2b2cc67579", "4b144a0a5f8b58d3bf311c121e9cf79fbf91cc52", "f5001aca394bbe7067db1b65f231c627e286aa4c", "d7b1e64fb0b17883f16d6b43991b5afe9764b4a4", "a8cd4bc012e08a2c6b2ca7618ec411a8d9e523e7", "ca8ba835d8ebcc2d95d166ce34e051821367928f", "5224e9cf182453e6660fa0b8c2e3f386c72e67ec", "4455b9ab789eb4f704e9f890c122a843087b605b", "3e0830ba56a55eb726a0b3251b66c9237135c87b", "30ff70a3afea6b6b46bde883ca1ade0e932bbe71", "9bed3a6f0f480ac23032e51d4c70e2fc57f7ec0a", "c4cb04972f42ae2bdf26cff0c84959dc0b5178f1", "8d44ac33d768fdc436c1b8ce995e2a6dbc4ad74b", "58a3d1e4745d047429facc96685d31da86eaccd4", "42dadeee13686e555435f9426cb9840fc085b23a", "9ecbf630838f24024f214922ff374151c95651e2", "3f6b59164baf2454e0befac4d8df0d29a9566cec", "4875bed500321dec353959a556541715da5c9d18", "40672d4c33a4525617f51564d620b31caaaebd30", "5e2798ab1e55122a28e12a7e7df3bbe70e0b09c9", "d63d1a2b4923c8329af590f5e844715fe1227333", "6becb2c0cfa7f8748ade49e5be4c4b4cd07a86a0", "17555c227941654bc19d613742e2508f209c6d86", "833fbf0e4be3ba82e7a1efdbc16813ee849d9942", "88babcb7cfa8e46f814c241e441c890285f6f9d4", "dc92aee7d44223cdfa85a8f196d24594703d6ff5", "feb171df36e33cfc23cc27b782c40fa49af64a58", "841c51b778300c04c4b9d2e13f4a728f0f564276", "97cd33a0650bb4850b3cfc9c599e4e4fcfd3101f", "1f06651fc5ce2c10cb1f4ad53dd9c931ceb66448", "45cc6db8414209773d1c5cfa8a20d53675af3209", "be5c16a3db2efd50ce361bda76837c019eaf40ab", "4b9374da18cbb300d943ddd7b43bbdc189b96778", "50d6dcec7f1fcbde647237d43950fa5ec59d6984", "d9b69093a82ee7cb9ad499c76c9b0d30aa377454", "264ae75f711b413954bbeb864db016c749eb9449", "2fe87224a5b8db29f72936c1cae17389e1c553ad", "3f0454aa9686809983063a01ae90e5945980c68f", "e38c7d4f8a4399f402ab6bb364ec662fe897bed1", "9d17e897e8344d1cf42a322359b48d1ff50b4aef", "97d3708dfcae89cbcbd260029601f2c1de4d7017", "56e440c651d53865d4a620d831452599b71ba102", "65630863c572a54e1390d4b7f4c29ed5e152a93b", "2c91faf6ac4c9fcdd4686e67b867a2b8c20fc3a0", "5e59284a1497d877c500ddef7f33cb91fc445817", "dc7a4d5ba20ca07d29c360b26e1e72afae9a77be", "6232160187e5d0ccdee30a022b7d9705dab7ddbf", "325093f2c5b33d7507c10aa422e96aa5b10a33f1", "bfc5a53fa3623c27950874ea7d338aafad9dfeda", "d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996", "80d31c8a700afc8d42e94709ddde1b0474d3435f", "1f2b28dc48c8f2c0349dce728d7b6a0681f58aea", "fc5e12966c447c8e607ba833506f875c657e20b6", "6a1da83440c7685f5a03e7bda17be9025e0892e3", "578e0612f26c05a40462400fe4839a6d9b3235b3", "7863d957faefe111c88c8b6c25628a38bc373918", "ae3046d2d03d5825cce648abda6bce8a1d4e443a", "780772a69b1556d5f725630dff8e79ec3ccb46bb", "1b793cc5dceb98c95e816aebc2252205bfd71569", "d2e09ba6e28152ee61814f3418227550bba1bf82", "71c21458a78b1f1497eb3dfbb78b61b854668217", "73733a003db8440db49060ac271a378df3894033", "9d67af2158807aa815b5a4485b076f7a18ce6ab4", "905794cd12e9553cdfdb9f81f2cf80f7dc5c1030", "c3ec7ac15f409127b2ecf61e8edc12d7500dbd6f", "220377caca34bed8a0081d48d153aecc11c211e1", "25474c21613607f6bb7687a281d5f9d4ffa1f9f3", "ff8634af92eb03cf8d869cb261f3bb7aef4bbe7a", "547a6c2a15f8b40c015c7515abf3680a5df74d85", "5f2a8e79d02ac5bf91109f29f999aa13be0983bb", "0c5a2bb5d1a1e9bb332207be61e13d0afb8f278c", "f7f7c3cb8b1abaab289eb87feb56d71f2d37fdd5", "5c7d7f44b0294d446843e4404775fbe5c9369c3a", "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "1866d61f6dfe2e7863f50efd5dedd06549ed4b87", "2cd510de428c496cb88b4207a7b6ca925f48dedb", "3d88180732d63a4babf3a4b1a82dd7fdf27a7520", "3d74ceb4ff1d06205ae781db4058394183803325", "ebb5eedb6ce41317971885ff33da17ae2c9e8f7a", "f6bc6924c91a749b5d9943065e93958fcfb5b870", "32d8194269faf6ae505a8d7937a3423e4830187e", "b05633a18a48d9c18735fd0a186a2654297ae543", "e8f753208fc354fa9aeb3fa9c6acb3d45e7eac7b", "334e559e8decadcedbe8e495b3f5430536cff32c", "27a5f4d813d355a33b4b1e4fc625e60ad072b64e", "da6cc47200291796c7639e8018b958aff589d9b4", "5fcde9236d654a0f92a76c1a3f07c0cad954985c", "49f01ad8e60882d0f3c450345251b6c6b499c3a2", "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "09f4e1064afffd8464e9fd558fc8ef7be5e33170", "bbbe31818a21f719ca0cc80329f2bf4cd2b0f39e", "3c05ba2e9c604ee036d4963f5f674acc42543c4d", "2d120c8c74bc029a14fb0726ef103c873a5090eb", "55206f0b5f57ce17358999145506cd01e570358c", "9794d69194ac772c3e92ee1f322a36feb3c16239", "7cd5d849212c294c452be009ff465ca7d3d923c8", "e059650472dd7bfd6907b02de491e312a0cb6d4e", "ba0d84d97eeec7774534b91da78b10c5d924fdc8", "fa2603efaf717974c77162c93d800defae61a129", "0b2277a0609565c30a8ee3e7e193ce7f79ab48b0", "56e6f472090030a6f172a3e2f46ef9daf6cad757", "45483f17551d9c6b550474dc7168ec31302e5d7b", "8a585ce808288cd761509dfc43f53d0d7d9579ac", "3ae3afd599203c7c68ea3b78dd2cd7391ccfd079", "c05ccf3a790e96b50cc3692f70fc676f24e95d18", "f104931b77a44557757b84405c41901e94f1cd60", "f6dabb4d91bf7389f3af219d486d4e67cec18c17", "ead2701e883174028a1b1b25472bc83bedc330aa", "ce8db0fe11e7c96d08de561506f9f8f399dabbb2", "c315a050478781da65556a745e01286ee4a8676e", "a2fe4f7bdfbdc32393ab6102c8e1063542229758", "5fa932be4d30cad13ea3f3e863572372b915bec8", "608109b7643145d3559c962041c76207a58a3b57", "221aef61ba240c04bf52eb2525edaa501dcae0b7", "70444627cb765a67a2efba17b0f4b81ce1fc20ff", "7644d90efef157e61fe4d773d8a3b0bad5feccec", "8112972b8a6e0c7f9443dbcdfb4ed65c7484f8c2", "d16c8ac2d194a6e862be0d1c4edf1ca2cdf5dc18", "a147cec1434753777b3651101bdbda1489b09fd4", "87b5eb7f6f5cb470bc409328e240bf5e6a408e9c", "e27c92255d7ccd1860b5fb71c5b1277c1648ed1e", "20af7f10485fca89c2c282e74016fe69765e4962", "e6276780b23ce2cff6e19397b5e726842f8a24d4", "afba76d0fe40e1be381182aec822431e20de8153", "09fbfb566a8f2af9df4d3a1bf5df00d0693a22eb", "dc3a92c3775c8d561f2a90205d706ef15238d163", "0b19177107a102ee81e5ef1bb9fb2f2881441503", "e34b29cb1f51e0c6a64850c67555ad7080253e17", "6267dbeb54889be5bdb50c338a7c6ef82287084c", "f58ee95c2c4bdb1432e15d981dcbdb2038a55184", "fcd945eb1cf5f87eefa444660dbdf94f5bb0092e", "7ab8e09cb7585c9370ebdf88449d6649e97fa1ea", "cf06e540e1cea9a915d8081cc75962f982a564a4", "4522a5ccae6f656e347211d86c2e6ef01654e4e2", "438b2a97cfb85fc4d11d19d5edf23725c3203d52", "ec91c6d6235f31c751b03489d7b1d472dfc9da26", "d7731565ec4cb1b910290ccb580405cb55224286", "cae25b66b485b5b76fb6f3d383b294f3456519a3", "0fd99990c9613434e7089310ec0214653d56932c", "a2e3c367995a238155f0b180743d5487ecdf8df5", "343c76120d0b213655ac8e49f1d87e883d519813", "50eb757c375d3b4f53f3ae70632839f5c4eb1cff", "564555b7fdc45938d813650de7a7b1cd40005aa8", "f1471a408369689e2fc956b417dce24e47557a38", "5e5e11e143140cc376db466d5b096a54b900c2ba", "c1d324cade724a41ea461db118743241536d097a", "45b9b7fe3850ef83d39d52f6edcc0c24fcc0bc73", "6966a0835b6e4627108429c5f0f0c7f3de20905b", "2cff3c291e03dda9ed6cf9747eeffc5642762e52", "e205faa8febcb7e33c482b00f84939b153575292", "04f701fc661b6a5f6324c9b457f3fbdfa1500c19", "701d1a2501eac11054225b79fc5cf13fa4745785", "8f93fa329e4e0daa0303f13c7ab6717c5615304f", "ebd36259defde84deb0d4c09695b54befe538ac8", "418154a73f02b11c6759b8101084aab9d4536b6d", "e592f6dc3bf1d53044cd59ce4a75fdacd0ecc80d", "d2dbdc7fccf6087c583e79f3303ef7e16b06b4cd", "efbe52289f71eca9a0aaa8a5362f73334fa6b23c", "81b4c5c0d4a804e5e6981b1f39386fb115592ba5", "bf7df7f49bc6b75568b008032822285cc09607cc", "13f9922632ff5311046229b849615fcd2f5d0c06", "f0e321fb86e6ecd773e7557577015f59b18c713b", "3fef3bcc94728f5061fc98cde610f6a602b06148", "a4bdeacbb5875881a970877970f31ec3b0276a37", "f42ef7968d66a93047215ecc8bd0a769deae7db2", "2539260c351df0c2b248f5f62dc26dfa1a00b35e", "73bfcee974aa6a5d589da07cf374a037bb0e3b75", "1abafbb83a617c1a63eeba8796fb49b6778db93d", "e78042d77765c0fd3c09651b679e15ffd6b7e8a1", "58ca5ac14af2765ce1d25c3a82d6f9312437ded0", "af2531b3834b92275a3353e4b2426217ddc4a839", "a4d5ff6f1fb8b304c3e6fd5f1a7abd9b5c52955c", "861afe3d2ddaedffb107b7040c67dac392731929", "4a992f73261cbe6e17a3684859ee26783b1427a4", "7f7f57fb6548fbce752ac4ab0302d0b7ef29da06", "d5b335d78e16993fa018bc5261e1fe9bc3692ea2", "1f989aa51b4fea5f109f8ae202c1df91910139ea", "05dc38472fd4ccab196543b8f48e3117b199922a", "c89e9028dd85a35aaa65be7830beec4448c2ba67", "cea973a31280003a434705dfb9edd9d99b601d1e", "87928ac7fa5eda06475881948f11db15c71ce222", "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "4f7147e1c7f4f8b6081366971053196a63cbf1fa", "43123e77108e059098194deacae1d1a6044703a2", "215a3616f4a6b5b692282a0a7351f13071e4beda", "afc00ba70fa2e58f4f291c4008eab82ec1b22c7f", "3aa9d370378bce52238f2a8290926949ab38f0ae", "08d0612dea89d7fc231a5bcc3e62998d804412b3", "807104a0cf165257beef2dd046259b9f7dfcbd3c", "e6202ceac0c7b08da2f51ec1d9c9f1efe53d0402", "c91da328fe50821182e1ae4e7bcbe2b62496f8b9", "0a0ce9a865cbfaab0b0121e6db95f95ca13640ed", "c1178a5e02338270c18d3a80e40e3d03c165586b", "01f5689a4010ae14ca444c36bec81f12ce528912", "47ec1950808910a541c9405ca6e9d8caf4b15891", "b0807688d1551fd7a80722a3454ea53f6007ffb7", "4347880f4ce93504e6f586ccec873cbe081cf9af", "4622d4027f807083e10d1ac6c3f5539d2167ee45", "1fcd7978c6956fd9a0d752ecc9f5ac1a1b2896e9", "da67293fe8ab15539dd045675fa2395435f239b6", "a77f477cf52d3dd83b08ab7cf87acb2517e90587", "fbb22fe488b1eb973071ef117a0dcad9ede1651a", "8e378ef01171b33c59c17ff5798f30293fe30686", "397400dd7c31e47f8dec20a742695abed297a150", "03ea1c3f867703f840c0e65df86e09055ad6f774", "7ddea8eae04ec694c69bab3ab28a4ece00b3a07d", "73b98fd6cc481a12932b9efa1c0c6ba4e49d8c3d", "c1e8dc4df76297a91574066e65eb0d1054e37e7e", "9cdf1e7ae13309e5bed41d609dc1ab61d134b24b", "e74a2159f0f7afb35c7318a6e035bc31b8e69634", "aeb83c009f37e74257209204d463c14982a2c64f", "79ade61f677dcadfc2b46444d2e0275d25ca1f06", "13fa2c37bcd9686232765e663e00b09159b9a846", "28c14a6c64518c21888afb2d73fe8dff633ca4da", "e648fda506496d7ac771d47926afcffbc8504c95", "2663fa2f1777dc779a73d678c7919cce37b5fb61", "c5a72b85b7a8a6413ab59d44e074dadd12b2dbad", "b270a993d03e639fffbe72c3f5c4b8f3564290a7", "112f76b909701ab8e64f5909981ec91fe8df60ae", "53a43a5e650d0c0857f856df60d8a90772e542dd", "ca458f189c1167e42d3a5aaf81efc92a4c008976", "85c1926ea23ff4f472774fec8c6a993bb499e4f4", "2dfc48168c0de9e6c7135293c95b7d794fcfbbbf", "eb5769a873e4f06c6813fc4bc21cd2c46a269f3a", "9984f16ef4dd45d087b3689ef8b8bd42ea74e1d7", "dcb99b0de664e17b1de205dd1aad327414ea686e", "287627a80bd51b1da4041273e584a188a8992de1", "88e6c221273af85e8736b4b865ad90f9a1464480", "6006010ad0d9507d5ad31f0bc7f452acb45e64db", "aa49556ee4f1ee3fcc9f0f713c755da30b0f505c", "aad3c1a6a8dacc4ebf4a8cfcb555d5f916d139dd", "727c8c696c6acc04e57b6c3541613702c22c6f0f", "403ecc19291f21db6084db5c12f428e2af91ed3d", "11e595afd0c70b1077938f7fbe547bb163fa996c", "1f1fa3df05c2e5fc41cf1368440991e73b5c34e3", "4ffa207907910091647c73fe5b1c448f2e6c4e76", "043c682265532e1dad18e68f269bb75d162380b6", "ac2a8d9011a0eed8df15416f4771f9b6126bbefd", "0e02dadab802128f6155e099135d03ca6b72f42c", "84d27f9027c208c3c09f1c8c9baae9d553c57d54", "f0da88d34a56a847039b35b6fbc971671e13cd53", "f1e2dcaf6ca82ab7cf00b21c9f4b78f173069ed6", "602f772c69e4a1a65de00443c30d51fdd47a80aa", "3255f6cbc14fdf8f499dfdb543f899b240708c07", "fabbebafe1f7b1680f66edc8b4fff345658a58c3", "0b609b048b75d45fb17bf1e2763d83735db7d7da", "419f05c5888804e0a9d9f2dc60839f2d8d65a7a6", "1bbf4275c1dbe3203b0e2261114850fbe8ca7e0e", "9b4532181847d2a28c059e3c07a45c4ee8452cc6", "2038f2051118192320dd86332a128f59f1532865", "36513f869e5ba2928369014244dff998ab93728c", "e8aa1f207b4b0bb710f79ab47a671d5639696a56", "938566dc8ee83a12d07e4d26bbb75e65ca7963cd", "03e83659f0fc98dd03c354a2cc7a90d585ff9cf5", "ff0bcbb588ac521c055f9214dd7630579038060e", "274cd31032db89a98b275af408ef5141a4d7b59e", "e113a840e088d07e14349f979d21a18d246a6217", "9ccca698224219cf48068a0d1df111ce209a0ebe", "5543224d6f8e22e7eaabfcbc4bed9e8a9451e3f8", "38a9b0963a279e7aab52cd50b095ecc9f8e6da49", "77cfe37cd98910de3601795131305bea639a435a", "5ce4968e87c23e73ddea484e8a2d28e245ea48f6", "10e5b4d4be3ccbedbc0c67a9c30200e6d79e0283", "c7f16174007010dd0e681aa98b835b53012aec15", "622107e35327a8759b967ae6a6c654bdab738f91", "7660adafc27d31f582a6b77665dc24144cbb4b6f", "2c6556931ba314455970d9a2a2887d38b1bad73f", "80f53cece53b82915e096f3ad1730f9ce7ee5808", "884e1de068accb6cbdc8d3e1bd590a033628baea", "0f1d42e1296474c9211fb57604574ba0cae4380d", "19b0ebf88a4672342429526a683d34ae5f65e4b6", "5d197c8cd34473eb6cde6b65ced1be82a3a1ed14", "577f009d44839e279732ff901ebbb6a09dfb9fb7", "745e74ae84e1b2b8690d07db523531642023d6c4", "067a40d9fe0942abfc8a31342a95f165a88ca5d6", "803803b5c2c61046d63674f85ecf0123f9d2c4b8", "e7e8c0bbee09b5af6f7df1de8f0f26da992737c4", "853d6cfe9c08c971979d1dd138bb21c25ff750bf", "e4a2289ba094bb60f010a7bd0b848b8355a76ac2", "34032cf0f94cc6645b7fb5df821c72039151c0fa", "70a39bdc6da0954d584879cfe61ebbfc81d1e931", "09ce555219111006529b4185b4320cc21605ac79", "49812218d3b84ab65ddc52fd2e7e17c688d2dfe9", "e76dd43bfc3555c005aa5d725a226c9bf4b6bf6a", "ca4580c5c5d8475801de42e493c5f97096677927", "4c2eda1297ecc45b1365470698c01bdeecb5a1f8", "ee570863a3c2d5a6197caa763dd740dd700630ee", "8eb115a8dabcd663d37a35898ede63fe169761e3", "ffc9d6a5f353e5aec3116a10cf685294979c63d9", "2a83a51c9596ed796da52bdac49ca30e4eb04345", "fb4a4e56124b1ca1cac61a3dddd3490ae8291d64", "32c2d12c7098a61d8f0733f3044692b2ee982d3e", "e7bd805c001e04b3c015b7ec11497cd5247a1a77", "0971a5e835f365b6008177a867cfe4bae76841a5", "4512037737ab217cee118a07c5fdb22821eaf3fb", "d7d6d2dd2e9c205eccdb59f61ec11746996863ea", "6c032a08fba885960e531a02641d121b81cb7c32", "9194c206269a09c251cb3d1c878f9f11639b053a", "29a8492f5aaa212ad81c2e903c73937e7ced73ee", "3b9d48a09510ebd8bd5045ba455279abb0a9baf8", "08e0073b649a3fb6fac530267e3f32eb8e67c5fb", "1e0cc66573f4e14976c8fd75cabc0b6cc027e4c0", "95d0cd902ff0fa253b6757ba3c8e09ce25b494cc", "eb4d3a43151691c47b5b7bdd06c28ee6a05de36d", "a60d1c8d2a5f28ee2ffe95e7efebe4e45a9aa939", "bb667cbbf050040fa39cd9e756cd5bf485fccf32", "ccb01a51ed204da01a12728bf168376bd2415b38", "518ad8b4e86cfa9a7a7c14a95c524276569c9c43", "0e979422896f63a93ab463af9eeb0013f6c5abb0", "8a12ee3c98b76d99531d5965f15bb77a10ec2569", "d78fb5e8da040b7f20546122093e50812ede8b37", "95f26d1c80217706c00b6b4b605a448032b93b75", "3d6229044f6605604818f39f08c5270a5a132a03", "d5cd99e251773d14ff06033d0bee8674a5f11def", "4f385f862e43424e4ebee369e6cab8a93f740507", "d07e9b04c1480d65e37e44bec3be95fc3206c17b", "161c9ef7114bda7c5a60a29ee4a3161b0a76e676", "ae54407c898fe156e83fc2bb8fbfa38075200f7c", "3123e97a6b86913d994e44f8d9d5c639e0e2dc96", "4179a8503a98ef98f5fe39c49642d6bd6ec15555", "b2c25af8a8e191c000f6a55d5f85cf60794c2709", "34832c7177a2201e9368d06ddfe9373aa68ca89a", "22e482d9136b5eab65b7e3eb7ee1743c1ad8167a", "eb53175fd51b46780a41c4b797013d80a98c2686", "9c53a8657e69a2da5e4a589238bb0e62c896f47e", "739d400cb6fb730b894182b29171faaae79e3f01", "52f6c7506d5d2b4344d2f00aeb3c9dd1112eebfb", "a0c70766f1238f975db0ba687220ee78271d8b22", "96e7a8e435d67604eb9ba561991b9f7a65eeeb67", "51f311f724883218bcc511b0403b9a7745b9d40e", "7378f7f4165d28cd1ead2a8c0950098694163337", "42fe79301fe049dbe4ec3ca49d79127f126a565e", "661c16658db873efeee3621603fe6bd53eaffac1", "5e4ad1f19e88b6dc87000f64b984d8f09abe7baf", "0fee3b9191dc1cef21f54232a23530cd8169d3b2", "fb9673f0373ca4c72fe9059648ae618d45fd8c90", "0fe23b1530fde4bb10959e811216ce16fec6b4e9", "78522d87381d70a919516f97c9dad9480fe064e9", "3851371dc4584e4b3e90e9b3172cd674e5e7ec49", "95f7dc555d6ee4deaf3e30d4ed4c8a806bccb424", "d22064099b862eec0f430fb62a587dd888d471f3", "1c7c477d8b7c4fec273c9edacb8135747a31bd59", "2633ee01b41edf9df7bf399e55e14d0c7412523a", "ab05988c3af93e7753de79996cc409be0a8d2bd1", "c61f0003e2626f456e56b2356a87d090cded520a", "c540439a8e9280264f314a89f8de2672ebe06bdf", "714947e4d7f79f753c5c44eac701185e37086276", "88682b2258312103ce9f1a440e3a890612547e65", "d9bbaa38d7997f334ef8d662fd2ce380d495545a", "8caf100798c9a20db95acd7e9c73a6f9c3fe6c30", "ef9b8724f857daec94690d03764dd1299d0cbbcd", "8a5cb84819e8e03dd99d664cf3127eced5fe11c9", "66f8115136a11684e3b95c5aaa1476a871d58a66", "a5bec55a9668b103265bcf84ecca94128a6769cc", "e3fae8109ff2f91ebfa1bced01452a3998c40ade", "9a4db91c5af7866af67f5b043cfb448170d13090", "668e93e89835ec662d21cf695b7347339ce74c78", "50db43b7eaeb427e6e3e1d945f77d86f21a03b01", "207e91b23253545c32dfedf71773f5af1dc88057", "5bb78acceaa89675ca777f6c8071bf6ac9987e1d", "4ff1ac4e66bc545275c83bc2ef1f3fb8bc207aec", "074acb048b09fc95a2201ff00f67fd743b73e1fd", "1b784f1f9b93cbc894aedbb4223928dfc74bda10", "ec5b793ef2f8afbf2bf914204358fa7319ceab10", "6580712927e3b01b35c557b8cc9dd9849ee8fc0f", "f9a9c8b36ccf107e65cc1d8da41d572e43da0b82", "d25f5e3cb9ae6d4c588f950ccd8063d5c9e11781", "9ba3e2b8b678910c4fdf379c278dbc007c19aa38", "6472df86bed51909f7b8aa0631f910db5a627c84", "acaa781f353c769ae5f6101aab140f51b2d33cd2", "2757ff9bba677e7bceaa4802d85cc6f872618583", "b03d5ed5b3f253703fa37d6445fab0e7cdf38ba1", "9cde4e4c1310ffa14fce97bd10d323ea4c46e187", "3056a5686a404a862807f7aa7c70312bc0225e0e", "1befea19da607cb9f797c75c37f84d3a78ffeaf3", "8a38cd388847780dd6757d77b3eca8cff51bb182", "594f8f1abe570ee3e9557828d8f43c6c8878a9aa", "d9327b9621a97244d351b5b93e057f159f24a21e", "a77342abe136fdbef8da9b43055356e3596c570c", "1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac", "0997f69e081bc460923a34e55b525a2aa3c4548a", "c7fc1a9dd3c0b2653b0c9ff668cafaff7670da92", "54fc77b3b3f8ed657437c4048fa6fffea6495b30", "5d56587ee5652fc9bd7e3bdf5a533b4f627b6487", "ddd6ddd596265d035fba71e3567f168655bf3e73", "94ead515ed260ed54b1b9df3b63d548e368be801", "457abee61182a320b301d73ecceff00d055f596e", "eaeababea109602e6bd4fd0aceaf94b3f6c91070", "fa9f2312fd0a4eb5bbfadaba9dea47ccd34453d2", "4ae1b8e74b304fbfdaf681b4626dc3ec00d69d54", "91d057823291857ec6259c2deb9b7c95d4198154", "7225f3e81598351aeff47c79030f71a24a34934d", "9ef17e297937a918b79e5ab72d1a1e3868d2d65f", "1d1caaa2312390260f7d20ad5f1736099818d358", "4cdfef0fec0918dcf5c40b9b53c9e3f48be0462b", "63b119a8736aa8f28d2fd09049f9207d0d6b0551", "a8eebadc262594d1ca86d5520f312c1779d00b33", "e0d15d47c00e35d8bdc7ee4a1dd7751a4783a501", "dd30d7e32046c333de78a9380ac6b76f4ce307b0", "9d35d4fba9217404a7aab84a7d09e53c324710be", "18bca470bf51f5cc42148cd7e34fa58280be8eb2", "fafa295d64858756e61432f06f4e1d62b528aaac", "691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc", "9b7a41215af8950ac8cc791aba4a90e5eb908836", "b944cc4241d195b1609a7a9d87fce0e9ba1498bc", "0b50e223ad4d9465bb92dbf17a7b79eccdb997fb", "e82360682c4da11f136f3fccb73a31d7fd195694", "4407cde7ab8fc38ccb22f2799ab6f0ff7ab65283", "05caf67982ce3416a28550f291211bd1459f9aeb", "166290d850cad09e30f883165d4e310f707d5ead", "fd93275f240d17b7adc22d5e1139379265fcf011", "34103d6e466b47ae820612e527db8cb46077cb13", "192bf10c12bd5872da6989302d7cfb47491c7a6a", "c285789796b61b49b851c6658f5bb57c1d445d2d", "66313d48a6352e731e40450f80a66c64aabae817", "acf70e967b069fa66dd63e85261ae6bda526a749", "41de109bca9343691f1d5720df864cdbeeecd9d0", "2840f93cd2487ca9510ede0fd2e8ab1af8cec6fe", "b3effb96c09eabada94f9105241fe66658fe77b1", "d3fed81785d47fe6f0de68eb378f18fd2beb03e2", "280d59fa99ead5929ebcde85407bba34b1fcfb59", "0da3c329ae14a4032b3ba38d4ea808cf6d115c4a", "c6a6e517660eb640adadf6e8fe262fe6752939be", "c2b8b49526e3dd537b641a6495e49a3d1a0ebbf2", "b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2", "19bcfa4a4ecb3b108d4a3c07d29f8cdcc1e78498", "dc2b9fa93b4fffe066e21e6d20f254acf27e0988", "aa528ffb1c392d519f1183489eccbafbc85c10b0", "260fca0b9eb144fc54f1872b8cc418ae3fdce756", "25110f89ffe3d3c49945b06771d0e27d4a2761e6", "c1e02305a0fc236fb737afb02d81ff7d59f14787", "9b74de11c62ce16d0b4509554556e6b6b0d4f5c0", "a2646865d7c3d7fb346cf714caf146de2ea0e68f", "24d62eff4e7361586de40b34883cdf5d16ff40e9", "ec5b6f284bb5f23c7c674f53adcd966652cffe58", "d2c92121d768cfb966184418205f9d92fb6c9e28", "163738c0f74ec82ab670a868a051edb732543b6e", "8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b", "5735c1b752f08a8263ba0d7c52ef5607f177f343", "8f7ae27df3df63f0f9a0a8d595bd95f4dd6d2589", "302c2293e36e0704ccfe9af759a8505df588eb07", "f4ca1d5132ce75f9ae9eadcfb055410024e6fa36", "cfbfcf538c1c9bbf170a524995098fe4aacde374", "263ce02126d9e5f861eff30b3170eddc158018bf", "60ec284f67c1012419e5dea508d1bae4bc144bb2", "0eceb033643fbededefef1815ca7cea3b47f4a1c", "1bed38bc216f80a50617afa5c6d9cc4b2db72519", "e7beddae52b1bfe952b0af2f4dd1b29dba9061e6", "d2e51df571802666e3f224be25d2b7715f018c9f", "927ad0dceacce2bb482b96f42f2fe2ad1873f37a", "143b54525bdda1f83965002616a4e7b5b9f523a3", "4948c1791412cf13b770d922399c625527b51a6f", "27ae7c8c650ffef74c465640f423d9008014e1ca", "7e19f7a82528fa79349f1fc61c7f0d35a9ad3a5e", "e4aaaf7034201fa94a9b9dc9bc8915cbe01c2c84", "590c277e8ca10f2c2d7e32eb4a9dc61078a67b96", "e362aef53fd4e716adacfff443f7639339c0b88e", "2b07bbaa3775c1578a7e5caee3a3438ec229f7db", "dd0086da7c4efe61abb70dd012538f5deb9a8d16", "d154df56ac4382a0a81eb24b190bdba240546d87", "ae3fc0955509a9a8ca2686eab5b445af8e126524", "e3d9b54f74b7c8cc8d1cc96fac83cd88b7c3e09e", "5134353bd01c4ea36bd007c460e8972b1541d0ad", "937729cea19a955147e059a6f0ef0571cc6785c4", "1a3f7b9fc451b54110aaebae56c65413c620f6e2", "7d3f6dd220bec883a44596ddec9b1f0ed4f6aca2", "27405836469652ca9bfaf948c0c9dadd6465a566", "eac95636c09c5335a8f27d9fe26c4192f78c03a8", "4ba3f9792954ee3ba894e1e330cd77da4668fa22", "86b87fa14321f2ca8a4e606cd4de17763dc48ace", "d8c0a1a5f556eb5c7640133374c87c393f0365d7", "077c0c12a6c82c50a2727510f0d022388bea3aa2", "e67e757a3d94b71b94e16c5a6a90d77bf61e9aab", "9055e7415beb421a861df974147394d09e442bed", "0f41f1a4bd5141184ee3ed3cf8874eeb396d7862", "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e", "64be271fd50fce1cf8434020145a1b6e16f75c1a", "5d603a725a9ad972d2096eeb33828ac21a8c8319", "6ee5dbbc167167105162abd888ca4824a048fae0", "06b7713df895507720ee9cce4eee199531c018b9", "098f1939afa5a071e133c767ca49703b16443b9a", "54ce3ff2ab6e4465c2f94eb4d636183fa7878ab7", "d3a793759027f2ca2f2df750a0495ba61e67cdad", "d13bd433a26f716034002e941376d5c5c310b7c2", "30af3e6e0165ebc9a641420d14ca285105550205", "12c548d99fdc59bd702910af2c3daa17ed43e5d7", "ea96bc017fb56593a59149e10d5f14011a3744a0", "6b9aa288ce7740ec5ce9826c66d059ddcfd8dba9", "86d4e1fda741cff189ab0edf6e62152c46740526", "0781a36b81d40595e8b38696677c836509ec6dc6", "57cf990bb3d64668614787708efa7cb06d548d06", "5cd34abb1e96e0c11f427364e40b1e87d6fc62c2", "8bc814c9653ef7fe248986788dd2a53375317a3a", "e17783170ecc48253fa16123a041ae298184f4ff", "4f854d04ee27c61c33b7437e21200ff0d811e064", "d46d2a5a34e0add63c5775e7eb5fb624f0ae6d8a", "5d9890831e0628b4f1bf46084d52baa6405c7abd", "048bec3eac2ab7ca42f8b67d0effcd4e85027a5e", "7113b51f20c01ea5cbe0be04c19588d20f432f9f", "eb03f0ddf6e1dbed41bdc075df8a5c6c136fe276", "4cc27210cfee0780f8a8f0d07635d33f15eec3bd", "10689c0a253c858c898275b819609e3dbb6fae25", "bb85ce38e114489fca36a4c5ab09a500f04edee4", "d4ba8d84358778e1ad4c5a7c55dbce12753a1716", "0e6f422c3f79c552c0c3d7eda0145aed8680f0ea", "231a6d2ee1cc76f7e0c5912a530912f766e0b459", "2809753376c4a51fb88fd223acfb91ea277997e4", "36c8f798145902583592a03df88a6043baa11fe7", "162ff332f98f3493a96936d5c1547f65364097ae", "4678a2ae263e7952887df31f76ab404df74a4649", "867596b7c4a2e108dc5a024f85cdfd77a574f5a7", "b7850320d321b0e26bfbdf276b2c42ea14b10cc7", "4cec3e5776090852bef015a8bbe74fed862aa2dd", "19843ae1a237b7463e30207ec94f5a294bd8d0bb", "68df1f746a3434ee8bcc8918d46809ddaad38b12", "08f48d8dd64328ec6c91cf0de8d19e80e65ad52c", "d0326153e297c18e739ae847d2bfaa26c1aa0a57", "4c293a98e929edaff6ed70c22a844c04e604e9fc", "e8db9f5b3ea405436dd5dcd247c85cacb5dd3969", "504647a7403216470e1ab57fa8be3f97fd802d3b", "4bc411ee896755862158885843900c8bdde597c0", "0a3fa8e6f158e7faec024d83964751a5d59fe836", "36688a79cc8926f489ccb6e6dadba15afbb4b6a4", "4e25cd4e40494aa5073fcfbef7506336b84152f4", "e57dccb1d6ceaff28f3372483600c857bae20a90", "6ba5e90fc9bd0165d9459cd6baa44537a21e2c53", "31cd61f05ea86a3eb08e06f1d0c2aa810805282f", "dfe823d9851d222f299ad26283c7de4b4a3941e8", "087a1f9c2846fb1f9d7c29a0f042bbce929bbf5f", "4d36499a93981e1dc0594d5b314a9ef0955ffe6e", "38ebbd3b9ab655507cb072e313a48ddec78798b7", "38679355d4cfea3a791005f211aa16e76b2eaa8d", "433d2d5528d1401a402f2c1db40b933c494f11ba", "bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc", "1abdf07ce2fca11a26222dedd581b68b141af3f2", "68d459ae0aefcdbf8babc47f08249b68d2f13623", "4022d4dd90e1d06f34024c867537bf571b44575f", "6a0f62bbc27e5e194cec81e7c24a9b57d698817b", "6ab5f5d12542c28b552e7ad1ab2898fe62ed5f27", "a9722d6d3e51f3e135bb498c3dead227db63dfdc", "064f14ba37381ca13286ff782a5b9667af9d5822", "1bbeb8139f9b5f0bd1f125f3cb02321d7f08a250", "ceface94e4c73ff1458be056caf2c8312fd1a515", "89544519aa58b0ff34b477a769ee1854930d858f", "b0c651f23516055583060e2197756e1390455de5", "1d5580b1dde791afcb2da812d1e91cef33eca0be", "9771621830b7068e1e25ad378b40e334382ebfa3", "15affdcef4bb9d78b2d3de23c9459ee5b7a43fcb", "eab4046cb0a4f7debecfa55388256fed7f3ee677", "98863caacf9f522db4a1f37963498db3bb007b72", "df56f8e5a822c40f4463715bfdfca2fe374bd1ad", "82d781b7b6b7c8c992e0cb13f7ec3989c8eafb3d", "c8c83ab64d99b16ef3248cbeccc95f7049e324d5", "0ffd230f2f1ad98a10fbc8a5cc39099922e833b6", "2e9c9c0d01e6012d530024b2399ab5e77ad31a0e", "ea482bf1e2b5b44c520fc77eab288caf8b3f367a", "0874734e2af06883599ed449532a015738a1e779", "cc37f5c056d78cecd7a44295661b5534fbbf5fa9", "13e6fa2884bbd2a403acf04d16d6c58642855776", "2e74cda095fdb1a7100745ff3b19190a1b2d0b0f", "97de882a75b09efa53c8d39a6921cced2173414f", "d455673be81868de822f3ca9a7f3fa13d4499ad9", "0cdf238fd44684b49302c22b062772e7c66ea182", "f157daaffa1754aae5963d9c49247142b07c8d4a", "0d881a1b53f843f67608cf10416092a627178de7", "318ee553c61888f2418280cb1d342c698d3444c9", "ac6a9f80d850b544a2cbfdde7002ad5e25c05ac6", "8111eb725133da1f0128967bf8cf488dbd94ce2b", "c7c405b6fc95ff2ccf2cb5b59942db4343558fc4", "e7893712592c592eeaaf1c7112aee41f6d2d3998", "0c642068ff8e4a437f8c16656b08d1ce3c47d59b", "2ffd1e152e4d322f03d09be3edfc162508b9938a", "81d91eb9fa3fec5d198b4522d5c373e55c0ddffb", "0d185e6de595bd3844909d3606e9218a498a9bd8", "42ab6c438bf5a6e0e74cc2dd9192a12f2406ca33", "3ef33cf952e5aee26f9b249fd3b2a68ee13bc849", "196b492ccb0127a645d7f1892f29801d90710659", "ca973e5c478895a63c919c5fa59c4aa283b12c0e", "14151238780bedb19c585ab3374b3240d61899b9", "ba3d99ecf95445734c4f98e6d2b61fc98d31f21f", "72eab1e61706519e8c05cc042f0597b439874413", "f3b46ed02db04594204b54c17e88341d7dc22db9", "75329ae46925aceb6b9c10bb1fd118db434e1f9b", "ab3bfce47b3582d4a21d80b1b1c95bc41b907db3", "32b9bcecdb2e3b1ff6fc58586249271bfe07551d", "42ae348a6526c31e8ed88f79f6f748508c532472", "bbcf6f54d3e991f85a949544abf20b781d5ba2ed", "31531ff4f106d1e196e619b859d0dc510e01c5a8", "49214332796abe6bc4dc9ef18ce4dc7d692bb404", "06687e82ecc94f716d86d3e9f6bfbd30655c6631", "f8e51a8124f4a393eb29cd0b1c52f347fb82aa20", "8d7becc3667a0fb070e27956a6cf6d66be38f19e", "080ab68a898a3703feead145e2c38361ae84a0a8", "b14c311050cb1aaf9dcfdafd87b55a2b5ee6b928", "03563dfaf4d2cfa397d3c12d742e9669f4e95bab", "3e6b70e5be3dbe688866d8dd4382ce05b201fd28", "c9e301c367fdc9c2dbd6d59780a202f7be4e78d8", "9e36963aba45f76b9ee5056a92f1cc10894f7a77", "851136b1d3f345d0d00c4ea36c66114444d04305", "09b5b34d06fff4c76866d92516108ac68ac25ccf", "f2ba98d57341a11a7c193cf7b4e82d22947644b2", "03acea7cf22f2b11d29bc3df973884c84e4a2475", "e92548bba37998b0a28bb7a697dd41f4db006ab5", "6c06452671a501edd6fb66c2c05ded614045a9ec", "2edae6fc9234fcdcce05c7879df17f568702d7fd", "eac6aee477446a67d491ef7c95abb21867cf71fc", "66e5c4f051c49f0ce0d521c53864b211c6ae143b", "bd866bbbaebc6bfc9707319312b44514e679f670", "632029daf2a667cb87cd3078a853d68412ea6896", "511dda02d39dc8107ac385ea8a572970e2eb9b7b", "072c5665b700c7b5da541bbe7dace1ecc870ab8a", "9c430bc3aeaba0a037b8a5e5804ea2f4327ddd65", "8432320153aa3a348138e27ef80ae3e8631bb6f8", "8e12bd55853967419e7383c30b81f043e1f2acab", "287d0f1c15d40e9f3a851e4bed0991ed5d642c06", "c1ee2e1d53f9ffc9fca5e3e8da7c89dc2a2133d9", "9cd2335f56bfc7b5eb509e138aab5e7838f8ecc2", "2b249bc1370339eaf221b1c2a3fcaab37a629459", "4e4fa167d772f34dfffc374e021ab3044566afc3", "10261848b16292a5c8c700de6c6c9f692867c9c8", "a3c7698c57a13fe914b1680d2762d4fad6be8bf3", "0de97a56f19490c4c325a7d06bff9f37ec7cd233", "bd289fcea977df33d18792a7ac02714fa50d493b", "2786b6571656b8a40776dad6899532d7863ff4f9", "347e62b6a241462b192622f78413a2c724deb0aa", "b8fdd124357113b374dadd5623c3e4c60b344453", "004a1bb1a2c93b4f379468cca6b6cfc6d8746cc4", "6ecd8ee110381e073fe6b4e79029fbb59d2b0e02", "4d39adb04c8846099f01cc12b5d22adb257652d7", "5e6d63dce8c41f1a4414f7124eaf8be9360fe485", "e4fb1e102393b9c2a83a054cb8f96aab5565505b", "9e89c9e40ffd1848da10a2944edf4f7c72ef15fb", "48b86173d5576285f07a7d0a9c3cbb183d6aa63b", "18260aeca5ade8454043f8a2286779d5853b5b32", "4aff9eebbf4680ac8cdc2edcf650e4c467ce633c", "f4283348b7d85610c0fc3c93df83caaf52977e3b", "417df443367334351111a064a601355450b2531f", "62713c466be23af553fb7aa59fca0fda39e94f38", "90863022d8593a70e574816e6a43f1fdab842e27", "6613d1331e51d0b683e9d71def1868a49fed0a5b", "77b33810d6b6b1d23d89e58112e6724b8e96ed3f", "0a52919e4473eb7bc20982094e8497570d797b13", "825d6452747852c8d0027124227ea8b562b28a4a", "3d58204f9f89b66db916278dc2d269e1f79ffc43", "08a67ddc62ca4d969bd9b918ab49c09b1ad40928", "7bdab6e725ab1bbf8fcd6d7c451f6c4cc215ada9", "05f4d907ee2102d4c63a3dc337db7244c570d067", "031641e5ce5c444bc197ac3f7083910b077dd5fe", "51ab4022a10fda7324dcae2729ddd117d58d2b87", "5a2c5b50437a15ed986343c60ab5f3aa8b02ee50", "08f69a82fae49a4a1f13d06cae32d77bb8e5be1a", "1624cf2321d6b06216ba0be9c13c23b340de0a52", "09552faa3cc5755b307425ef2926c30d54d2f524", "c3b5ec36a29b320a576f6b9e58188b505becb4aa", "f4ce7c36586c27783a1b0e737c2834f39f9d029d", "0e69c94f1fe4659cdc69a5b536a764cd7a373395", "f7db1a670a99fd68dc3c6478eb9aeadc2838a897", "75b6992b30b8e1dc8e9a916a166407050288167b", "e7c96fd067bc622abda2015cdaeed0f462d21df6", "69d5a48077ca6f61d24d7c787a5ddfd2d4ca5b36", "687e17db5043661f8921fb86f215e9ca2264d4d2", "9648a3790c62cee4253299f21368ce8028e3c8a6", "a86479f15fb728b29f98c9adfbc6b06a3d3c83fc", "5593a505984b55dda96f7c564804ad57eb002103", "2a9283b65c8f04cecc8fb6a2cca5610b18a6f677", "42fc202713cb5205bba8be8a3b85a8be1e65d63f", "9398c7ca42671dbfb1684a9fa5213029917ebd0a", "ff2e25cb67209de8ae922abdfc31f922b130276e", "0d77698da4a672b6b6045832c92ddec05787120b", "a292b11f0bc397c0bd8551e8eaa259bc30fa6f34", "3da4fa2365c01f53180050c7d332107089d913c0", "b2f75a068cd027c81b09a2f94dd29cdfb46e2eb3", "0f0146855de3cc6e0fd1e3c6a7bd0d3df19653bf", "ccebecf0e24f76262d85f55712010632ea04c0af", "285faa4cc54ef9b1834128705e0f96ad17b61e0b", "30ef88ee401f70cf43b330b475d30f7f5e722630", "c6ac51ba7e269d4b6ad6a1772fba2039e1610d78", "2a7b1257ec819688b46272024855c1858e031db6", "ab954da6c71fd5d98cd92fbac763c6aa304ee4f2", "70696186584d663bce09ff929db0cc32ce81cba7", "c86bdec7c4aa6aa1b5872badb5e48193ff5920e8", "fc0f5a1ca6b3a004c15335b80b457ccf09f94d6d", "de69410bf819bcc6d487de3548293a542c381e3d", "5809d5eedbbc5d9ec7e64dbe1c4a9ed4f126ffb6", "c52f2a00fdbfb7fb10252796dbede6403e780da6", "ac37285f2f5ccf99e9054735a36465ee35a6afdd", "8f713e3c5b6b166c213e00a3873f750fb5939c9a", "5a8d20ecd92d22bf077208a5e7b1bb008a9b7dbc", "3af2b79c342d80900fe32f57755ae3a555d8407e", "031d22b08d9e8235f46679b89e273ab8723d3e67", "b2e7b1a8bd7375a043ad4eb1c88dbc7d436d9634", "e0239297b28ce5b57bdd803bf24f4394e92b9ede", "1bc8cc908cd722cf560b36e14a3333bf7b6114f4", "d0bb66773b387ff4d75fdf61e0c52006057f553a", "0b64351566cc0145ef9c963edcafe8229fcb1fd5", "6c22b549d854845c5d2f17d75417e4469e6d3f83", "5fd17c035e032618a6f844965f7e959d304df455", "87f0a779ce4e060e3e076df3cc651e0f3f01b2ae", "997ffa2cd7f3c7ba3730fb348c9804f3f575f32a", "bbb121177ce1c2a7ba2a85aa5cf8e2b9606196de", "66c0fcf637bede76a6ea61b58655c5fc7e890630", "fc6eaa5f8c5c437236840929a323fb7122ee76cf", "6926676e0b710717e373926e1302bfb441c5c503", "3036e85864daa85935d1cebd28738dceaeb2194b", "efd4bc3a1850f8f3380f14325baee1af182e1f39", "98aa4bc56aa6aa15735727a91bb3711bc90e73b2", "f41ab9de6b795a4709a21ab265166c58fc6ea362", "0f64e26d6dd6f1c99fe2050887fac26cafe9ed60", "0ba99a709cd34654ac296418a4f41a9543928149", "6e443fe29b4858410f5be57e36dddfc8a389d285", "e3faabdc800d2400f072eb5b48e9ad6dc94d7625", "3fdbfa10f6a640aace2c29593f1bf55daf70d6eb", "7ff1c4e0ad0dae92d4f25b93783fadde8f07276d", "127d16add62d6747481d23064a302fd878e33b56", "0c5ddfa02982dcad47704888b271997c4de0674b", "e5e9e7cae71b13aabb30f6fe1f97cd153400be6c", "61955df5dd9f62b839b61ad6d4e5bf2ab887da86", "1d8a0d9fe19921b4fab27e200aafe44cc76b1586", "91ddac7d1d63c52cbe30fe27674b9c1e54bc584c", "c1a18684feeb2b966e2f03c2622f9a702e14204c", "bef503cdfe38e7940141f70524ee8df4afd4f954", "0fa9bb6df99691957f9dc16926f5981ec76eede5", "061f8dae89734c6e2b5d01ae08d3883b1c2052e9", "39803a9c075d543e19384d79fb4c36b207892179", "6403707d95046655a7bb405cf7869bd3464074e3", "5e9d2126b557d4a3dc5716b55f29c0f117abbb02", "b54886b291273482fdecc3e0dcd8ddce394ad7b3", "4961a4efd448e173d26a380d15bc11d7d57b04b3", "0a5d5f359614a5cb9f42f5b9e2ee6409975703e2", "4a64758786e3f49fc13781304197591ffbd69a6e", "7be6fe8c58ca12974c563689b7230b933dfca432", "d9024931d08b3c41994cc6e6e585e2c6bb7cc813", "b18c8ce3ba9419bcbab3c375b0820d032f1e38a2", "8a00f5cf6ae47ae8bc6d29729ee84f9e71cad853", "9d28999744fd5040fc29f8beebd5cd8714e7f0bc", "94ac0bdc3fc106006a69f294647a3dc2ecaff532", "b63914ca499b41c672a81e3550732cef514e868f", "0d90d046db16d3d5ce70590e6dab32cdd58928f6", "6a915d1f466b9e13ab79d4b59ec4897647dc75e0", "2435542be8698eca136ea2c8e1812cfe12132e21", "31f2ddd9af75c7f9bec515945bc6c3055fbe9801", "ab8778793b0f2f06d9e97b6277f3b1125f31432c", "1a0b09e7e9182a68fc457bb888536b9023f6c9fd", "728bda577b98b0f4150c0a74eee2f6d0a3bc4f15", "a36aa784e00d479bb0e6cb8aa6b6cd2dfeadfe1b", "ee9385efb66ee0b1bee31c1632141729bb7fb6f5", "98720e3b5b36160a73c09086afc88405f7ed517f", "ea5efa35de61f82088fa72b575863a59c9ad7269", "3f44352b857f2fc18c18c5ebb2cbf994ee22f44c", "87ce943906579910572db0d0edda0813503b8015", "d3b550e587379c481392fb07f2cbbe11728cf7a6", "3b6d7df0cc0aebb0736f3664da4ea8a03e559db9", "8740611875c4351ab9ce3729c2ff30e0863948ba", "1956757cabf13a09ec8a469ca9afcf4ff1110527", "0947f2689c71e0298411614aebf1c223168a0c9c", "fc7b34a2e43bb3d3585e1963bb64a488e2f278a0", "225fbfd99465033e993460a1bc838a87fbf42346", "a27312e860704f94785368d8bcf18f0b871d3d4c", "de72d2563277eed2a9cee2b91b72dc3c462cf5fe", "47c03504648672a75561abaaf9e5e4187138dbd7", "9dc15949c40c5f90087eee9da2600144126ac2e5", "705a24f4e1766a44bbba7cf335f74229ed443c7b", "00e4f90555b98e2286d4d07c87220a6766c441f0", "3c03d95084ccbe7bf44b6d54151625c68f6e74d0", "25636431c9c94a3681b8aaa2013d94b501930f31", "d76d85e6f90300f45cc52d02ba881ca1d43ccfd3", "f1052df3e311b7caa563685e741e0a1bb6b288df", "b873246d9c474bf7799d6f45deb1155144dbd6b5", "0626501c230d2b74a8975e8b71c3ff30f0aeea2c", "d9fe0b257ec50a12ba1af749fad56a6f705d16a4", "22043cbd2b70cb8195d8d0500460ddc00ddb1a62", "720ef31b8fb5076c861fa55f55456ccbc9174132", "992eabece1baa0d8dc2516613a192b283e1921d9", "e267c813d8804019fbd8e018171dd05255b10fee", "56cde43def09ed9f4c6867d2e7d293a5b999c628", "4c302936f43c30430b0b07debd6ed6ef260b5225", "df4efcff93c044fdfabd0dbcaa084e8aee5ae8a4", "702edb659ac74c2fd00b276d1ba36141922b5054", "e381edad6f9040712e6a50caf9c82465722aa04c", "b5f9306c3207ac12ac761e7d028c78b3009a219c", "f1c63d2d6b21366535ec3092883af413c2f7f18f", "1991936613c29f8d09f437a5120ab1fca2257ba3", "8aac66d15e0903257ec3abe6f126bf6316779011", "559c527d03880269bdf7d51d7edf376abc12c7c8", "471185a3950844c0d5058a30cf6cff30ece4b381", "2ea846a2def214b0bac54b671d7690e0d24f1496", "af13aca09e6238c6121a14672f08589836ebe7df", "56fb30b24e7277b47d366ca2c491749eee4d6bb1", "1819d9a9099dafc987dd236c2174945e7922be13", "e8fdacbd708feb60fd6e7843b048bf3c4387c6db", "40a82046d7d4e8148d22eb86b462440524da8f52", "6b45999ffe9444614d286c3597ddab389402a337", "4508f20e426f5873a38624311059ddc060ecae7a", "6eaeac9ae2a1697fa0aa8e394edc64f32762f578", "5366e8093715dffdb559ddb54a8230486b1942b2", "7b3fe45f887a37f78bb356874702adae91dda105", "137f8195eaa8e68f133395a9b9a232bffa7b2fc3", "a9d6e84a5f37d89d16e9fc2d9b27cd0be4d8e119", "c9db658fb6ea7331c749ea46fd22862d8d3d4bcf", "b299c292b84aeb4f080a8b39677a8e0d07d51b27", "21697dda852b69885d71caa309482f14552d273b", "8a9c08bcfce9aa91fe587feeeef07dcc53774a92", "067126ce1f1a205f98e33db7a3b77b7aec7fb45a", "aba5c9246fae51a7770bba16d04e4a9a454d4d3e", "d76a1e668bb435e69f48b696532d7850fc814576", "d4305c30ffe986fa53872b1b6cb61856b3d7346a", "6291c0485f65e3879a66badffc4f947188a757b8", "5f790739bb4e11bdf4fef85c293edc04aae903a3", "f648142987e097c74f927f6f4ee9c556898a1654", "5cd2425bfbfbc1413c5c853d27c35f8ce5d8f144", "0275e4251671da323407bc2192a0b50679d16237", "0139eb62a87649bf7d259542b5afc6be121b094b", "c79fe054f971a454406f46b62b5a397b95240046", "2023f1f73947add416fe3e7dbe50e3ff0eb4f531", "d543ff291a96584586ad36d1209a8b1b0cafd1f1", "50e45e9c55c9e79aaae43aff7d9e2f079a2d787b", "8e52267bda3033cf58f7d1d0390f7d26e9ee7115", "d90e292c4bc2fdbeec5e494c92194e4d3420d760", "6f74c3885b684e52096497b811692bd766071530", "5be44ad234706995c5b6b7ec9c77ea5b85a2156a", "ff766741cfbfa14282a2ace9a5b1cc361e060b7c", "8bd82d362c39c3f2160f5685149ed41125b0681c", "035d6dbaf2053d065464e065bb824695b1ab5a95", "dc3ad684a90a45160e0c82a9b30b77e0bd4477ea", "3dbae414346398645001197a1d1ce37f5953aeae", "3a8245748a5b682845784dab131f6d8240b09f7a", "e29d51146bd7bd479d7a638054f1d6dcba71fa1b", "8bd2212bfa90f39e10d1c9964fb2ae9ec13f9021", "a2ff11632d5116f0510800d84ae2943029f4fd33", "67d7ba941dc91eb016551102fd9642263ae47de8", "b5f9c5af707f55d96b1d3d65d970270d35a60987", "327ae6742cca4a6a684a632b0d160dd84d0d8632", "4ab4e283c6c635bee029b4857be670504fa9d1b9", "468253c79c14439d238f1fc6c642e1c12145dfc5", "8f60e94729366f46cd4602df5f38113020874745", "09016bb7db067f4cc80d243892de4149a86ab42b", "b233c19eb5a65cbacb23a1fa2b9bd30764e7904a", "45c4514ca2b7903b4c8f43e396bce73f014b72be", "537ea23047f0bd8b58ca3fffe161bed2da913187", "70560383cbf7c0dc5e9be1f2fd9efba905377095", "adef82b510dd72999bb04e13660c9a77b5abeb4c", "7443ed0caa56a48a57cb3142c54a19ed7484b404", "de724211683bb92931a5d80193e5dee31ca2e045", "34a1d075e6f4a9cea93b916ebac2f3bbdc2c5ab8", "c031d1792f088c4feca14ed8ee05423a7f77fe8d", "2cd0da17f7d20f01a58a22880f24d34cfddbca7c", "0af7632427f70f2327cdf5188b814fa55d7551df", "3263fc6c05fdb917b26cc9444e32f4d76c62e711", "45b3e64312f64cec0a88bc8e2af06ac628392899", "2e22cea98837a5226bf22d6aec448edf5d07fb9c", "eef82228530a70a3158e59be2b0b07d6dccd8a88", "9c8a2d66b8fd6973751b8ee2fe6738327968cfcb", "9981201c3ab04cb3ff18b689d01815255bde89c0", "203a1ecdf7e488d81e5661a6735b767c4fe2b37d", "014892cc24798d04a066c50e33630bb3f1b882fe", "0ccdaeffd5820e98cd534f380e8331560140b62f", "9b48372c7adb3780873df7c6d4134f93c2b0aebb", "555cb7b89386d0849014b9af7e3eebb377488a2e", "7b6765ba98396424bbdd4bebb8efadf6431adf09", "b131f10070538e55bb9f6026cc5c518736a0780d", "f6789caf35f376e839a92bf6df11418c343bde98", "9df680a0fe9142012ac49140aaba717388ba9a1a", "1dede3e0f2e0ed2984aca8cd98631b43c3f887b9", "ef1da2bcc95e524eb6866d35aa5638ee8251acc4", "aca57cd3f1f4edea9918814aabd0460c682cd56e", "536b37fe90a2f0bd8b40b7eb7ecf89b25a1c8ede", "58bac838068df358b536850a84ff806a23f061fc", "b7653d96c148a6a9e37822b64982a9a499686b29", "b209608a534957ec61e7a8f4b9d08286ae3d1d7f", "470dbd3238b857f349ebf0efab0d2d6e9779073a", "78342d17c6c6fff00cf1b20602f3213a3f61ba56", "00785be241b28161c320693ca3611e1787a25978", "3c9019ace5e94e1670df357220ff848954002bae", "d3be2efe2193eea84562f83e8589a3472a9520e5", "8234aa5414a53e705f0be9abcdcf1d3fec90c091", "3155c3096026e82c7f8844f379157843bab4e0dc", "362cfe79a6822f9e317555c5e3469dd038b9053f", "80265d7c9fe6a948dd8c975bd4d696fb7ba099c9", "fb8869680fdf1514c0997c14a189501632bffb2a", "770b3855cdd15b49c89e4053b6cedafe53cecd6f", "77008ab857beb64a5d35e2ef3575db2ed1e087fc", "06c2426fdc1eb11a0074473078296133343774ee", "987b49719617981c0f1a6d12134f660675144632", "3efe2e245fd1a80e837f9c4eb57c4971c644ee6e", "3aa98c08043558fec09bbf731cd7a8f09cf4eacf", "21a1e0cd24e4a1d383556fe566bb2326da18f26c", "a32f28156b47fd262e04426806037d138bb3ed0b", "4d3faf14bef2c835bed774c0c9cd5cee8827c6f0", "ab12db11007c33fa71cf228caee35da8277277a1", "1283398de84ec0178dc74d41a87febfbfbcbbb02", "2caabb0a9656881d2f6d6562eb1e587b67fb8f64", "11fb122efe711980ec4fb55e49bfbc03f538c462", "c822bd0a005efe4ec1fea74de534900a9aa6fb93", "10791a00b28ace9729895f3d287a7147acdc8944", "78038de44ce38592d3af79f92271a59fc766d66f", "713345804a00c6c0083e4155b904956bb95949da", "988849863c3a45bcedacf8bd5beae3cc9210ce28", "e00bdb0b046c4d21517ca808a4233a6fd5f3faee", "324d82129642f84838be71bd7401f38c80fb87d7", "26b9d546a4e64c1d759c67cd134120f98a43c2a6", "cfd933f71f4a69625390819b7645598867900eab", "0b6bd0a6f396e1479dc30318102bf49c12959783", "0a04d8b0099708fbceb63b58faa61ae0c772c8c4", "235b4729951e036297bab2191a69c507a882d609", "65355cbb581a219bd7461d48b3afd115263ea760", "25403c52a7c3092866773b0e765ab55841d3cb67", "029fa43a49a2f5df4bee8aa6a9574f8da5098f98", "81884e1de00e59f24bc20254584d73a1a1806933", "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "6a4419ce2338ea30a570cf45624741b754fa52cb", "31de9b3dd6106ce6eec9a35991b2b9083395fd0b", "eeaca5178795fcbce0e0042549b6bf585033122f", "19d27714c820ca7cebf8c6d5a76053b23bcfdf11", "e04a5a6860b80e3a7fc293d495f3b9a822c3f98d", "fc9e60f370252bc9a6120a6b2c39703ac1fee810", "216081f7e3ac058b2bad7609676193f50da24db9", "905339e771e69cd412f3379c4da02b78ec2a950f", "4d527974512083712c9adf26a923b44d7e426b44", "a72e5d33361ed5331a4c8cea497df964f9ae6ba7", "869abfc258f5512fd95da179f7d92b624900eadd", "b6145d3268032da70edc9cfececa1f9ffa4e3f11", "f5edbb47a9a200c17f0c34ec8cb6fc4a2f9cfc20", "48be9300acdc484100436f32bd409a89a7dc1ef7", "4c2fe5997a5570720bac2ab5ce187f1bd2aed1e7", "25bd32b6332093ebc938b55b7096094f3fd22cdc", "ce20f81374e2058b01910a4d028b79c07ce7e994", "3bc514bfcaa3808618ff6b4b52e4001e7a24b82b", "87842004ea0933f5ba113cc9d78de6b33d444f59", "e96ce25d11296fce4e2ecc2da03bd207dc118724", "8ab2bc0f298cf595d50064a5bce57065d5b69c59", "1746fec6b033f5fc7aa0f8c99e1f238ac3710ee9", "f6a65be9a3790e8fd3b5116450a47a8e48a54d63", "4d50de8ec7335ab320f9743d199336699307b523", "985dc9b8b003483f6df363a8ce07dd8c89ced903", "2598c02e537b02ce181eea1aa49a698080a391a8", "97930609f1a5066fd437ed8a4e57abbfb1ae4b12", "9107543d9a9d915c92fe4139932c5d818cfc187d", "2406f413907b7ef31c086755edbb22a7b7b10f5e", "d24a30ed78b749f3730e25dcef89472dd5fb439c", "1057137d8ebbbfc4e816d74edd7ab04f61a893f8", "79c0201447bb2d407dad99d8fe0a2f4703a3fb7f", "57bd46b16644be40b2e0dc595c1aaa6abbadba89", "0e7862580028aa80c409b52ef1fa683444afcbcd", "fc83a26beb38b17af737c4ff34141d0deea3a4e1", "01b73cfd803f0bdeab8bbfc26cd1ed110c762c91", "748835f09adf69955de260fe2497906908a7609c", "5a1bf442073b95a3392e673dd14bf73fc1e99f6b", "b104061d4a39c97fdd11046e93c7512403e9302b", "b5476afccf97fc498f51170e65ac9cd9665fd2ce", "3199a528e5e68f48827544abee7fd6b47678dba5", "620c3f6605e528503a99a8832200d5afdf156c20", "467144dfb6c2f52d63f7a012b4680165361e96e7", "0f04a95ec885cf98e7cee43eacff13de0c888d3b", "3bbdfa097a4c39012cb322b23051e360c2f7f023", "2fd1c99edbb3d22cec4adc9ba9319cfc2360e903", "fcd2fb1ada96218dcc2547efa040e76416cc7066", "6d28ba098f800caaa46d9273631135bd0318303a", "9d357bbf014289fb5f64183c32aa64dc0bd9f454", "670e2c9b18ad853e86fe402bb8161bc81e38887d", "d1836e137787fadb28d3418e029534765bcf1dae", "d849905418ab2bbb159fbc45be752c50d7852e9e", "3d42e17266475e5d34a32103d879b13de2366561", "9ed76667357681d4c3fb2ec7bcedf566d634d50a", "80fdf9757c0e4b62dcfff03941f1951304ba002c", "8f9f599c05a844206b1bd4947d0524234940803d", "64b78b6f13c321da77e3770a748772fa837aa8c8", "c9579768d142a7020d095090183805c98a2f78e5", "66e21b99ae3aeae79589d260e3daca3b04981a9c", "31b58ced31f22eab10bd3ee2d9174e7c14c27c01", "7e7e4af2a79288fd2e391020edff8552ea1ece9a", "6198c7d579726fcc0d4c62ac156b503fc9e39251", "6d43831c4501ff44ed0ea70ef696e1c496b68a1d", "1576989733e10463f2e053c97c1aa3c14ef1dcbd", "0cd032a93890d61b9bd187119abee0d6aeb899f7", "165b7b9ed474805c35cb60204671c9bb2053c976", "497ab61499d85ab9ea2f0959ad3e5547cc4ac8e9", "61a2b79e27df799f941e9c7d06797ae4d4533a2e", "0c2c53d71942ad3171b693f565812f1db43215e0", "51e43578ad761c7c4d58cb159eee0f8e6cf0f7a4", "515de436f65bddcf9e24cc0d3b82689bfaae3f14", "5ac707ab88c565b1ed34fac89939f0cd2451eb22", "b569166b4c67927c7e139350416b60e127a202ea", "910bbb44fc00eab606558fd49562edf082fce726", "16375c3d7c671405aa1b5a744f46bc19a0590cb9", "0709192e10ead7498a1deb9f15bcb8504282d3ee", "93d3f2e546314305e8102538c4714e30e9146858", "7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5", "92f2c4f5583f0b58799f4834bc2808ee785e27f1", "0ac669970c0c09c82065d22396092bb4b31d9117", "e5dcec59afdab7c15e3a874e9b602b8fc42b9019", "383a58de852715c8544abe60fa64d29fb7ea5688", "ec1f6f26e992e01de616d7403743831a9435088e", "701d2c119733809f65311bc96733330b3ab59dce", "b3b51d80bae381e7a143c6cb532873a273b38e51", "64d83ccbcb1d87bfafee57f0c2d49043ee3f565b", "e99e1ae39e8d0f2b5c607903dadb4a630d06599e", "07421497a80b7611f50c343edcf8222fb79f0bfe", "0781498a38ac67722bb690cd04f69a80e07a55ae", "51348e24d2199b06273e7b65ae5f3fc764a2efc7", "60ffc8db53b02e95d852f5a06f97686486f72195", "b41d2d4750ba7fdfe072d253f408e5b60c75eb1f", "6bc96ba9680947097cdcef4a235de394c7597187", "6ab94ed33779d21d233c274cdc65c308955668a9", "0371b7cba37970f22040a10bd29219778dcc3947", "c30b9fb837e912ccf3919fdb64e9543fca57799e", "06aec820d7d4b15f8c49ac4b8246377015693abd", "e447ef5eaec9869570951065d1635e7717598ea0", "700af3eb255ecfc9cb93d33fee763047875252ef", "61366c2eed49519e3adef44e8b7146db1fcc2113", "18f348d56a2ff1c0904685ce8b6818b84867b7a4", "413388515ec220144c91dd0cfb7dae0c36b35d73", "54087bd8624755b9366651d5f38fdd3bbbaaeb52", "f7e91701ca7db1d9de3e8a1d082e2cf0cbbda7a5", "43f0e2207d628deba1f91c810c38f33a1978cd58", "3e3f19cfb5a7f93d71b2a4578a9cb9ec968960ba", "8e6e1861ac3e130f3e5ba97d9c6ab21355b3a55f", "29895e2b4d15c22a627d23be2e25bb5f6317fba9", "3f4cd2d8bdcb2a0e9851ffa9d31c09606e1a7738", "38de307adb27126bfbfe28d55a89f0a77d4cc8e4", "77d31d2ec25df44781d999d6ff980183093fb3de", "27d90cdd54bcc8f8ecfa60d886143288977a5c63", "89358e65aec4d6665098c7dbbe3975296cc7a2fc", "7a4f3d17672ecd89e4ad0d4f3a9257352a055d9b", "85b758a0b59e957253be56a780fd047d18c43aca", "dbc077fd5412d11b33e18cbc2c5d8b92f6691c8e", "4cff5b5099b0227730efa9e9fd724a63dc0c0c2f", "20c70df0e353a4d125fb945c7965e8f8ae817bcc", "87f64a3f33f464a2602d5fb0d717d553c91fc39c", "759b28cb6527f8820f1cffc3581884c5caa19091", "22b5bcd590f6d4c04b8de28217b001da9667ec33", "2d12efd5aef4c180ecfaf65184eb7b56e5a40329", "cee700093d6672df48d169ef194861026fe31e8e", "10e8ebc9a2397336cd03dda18842ad6e7e7299bb", "23b8647161d875b9054bb77d450cc530a14c956b", "77eccdc13d8949add2a169f69141af37b2982ce3", "21bebef8ced5d1e77667c667b54287782556eebc", "304baa0481562d468fb7cfa1f89e726f82701a39", "a62ca056821a3179b116662b28338433ba5b5e7d", "5ff8f8d8904deb0df670856d63905b1eaadffbb4", "10d8a48deae967b627839cc95c98b6c080ba9966", "8afe84f915d3dbc45c57011e62f5dbf9003dfb4c", "49c5f7b313eb4d7b4442074b9807200ac6aadda5", "7525e1fed92a780b6cb78190da360a3a7b611885", "2f20cf49eb6a0818313c29d64eb6d30ddfb8d747", "0e8a6bfa372d64b9630d2f6182ac07799a9c2161", "0fca9a022f4910dda7f8bdc92bbbe8a9c6e35303", "d9c143d75fee89d24cd5566ec05af40f54dc8208", "57d54fe3f48857863ad9d19bb196d13600ff1878", "cef9e528ff7fc8b3c7ed6fc0147c4db207bbe6df", "96b1f2bde46fe4f6cc637398a6a71e8454291a6e", "9c6a16a241c82ae695896572edd2f31febcc822f", "55eb5691479268718627a39237fadbe649b34ecc", "ae7ebf1c6111af9d00dfeceec4b48b528b437956", "77927f4f812513d6ecfef26e0ddbc53c85796ccb", "2cc8371c483f76fff65a5fb1c9cc89e974ce83ea", "3d2636b1ff339cc8571bcb0590cae19c95ac0d02", "29d591806cdc6ef0d580e4a21f32e5ad9d09d148", "7dbd91389960498ee38ca7588025ec61a08ec942", "32dbb27c3d02f73b53a5f158bda9e0273296c96e", "56f942a738022cb9af243f3336ba1f035783f73c", "e6098aa34918a8d01bd265690e3677fd474ba17d", "c69da63f19a75a8cca99a2ab26203d89f18e8786", "88a0ff6b180703a2d90bc86b40520e35a08fe02c", "6e428db07a54a824f77a4c1a8fe9e70d6049e79c", "349db48589d9c2177b2067b112b8411513242e95", "6a2b83c4ae18651f1a3496e48a35b0cd7a2196df", "2a88541448be2eb1b953ac2c0c54da240b47dd8a", "e0526b013176e2cbb1d13b4bbbdc156d09a0276b", "fe95b902eb362ad39f91e2325300d3f7a9119c48", "0903b956a68073eee3760572059abd5b24b026da", "3eda9f9c29cec4f44e210d40b54810de525d75fb", "b9dbc8ddb68fd4bc5bc958fc0a8e63152fc87c88", "b695052732594b3fb50d4dd8cf3b6bcafc65da7c", "52d9477a8293d44b0f8be5c07d56d468d035b0b0", "4e93d17fddba420dd8de02ce979fd0ed02d19f7d", "9a6c53b8f82a9f533104e2ba5b90b8e848d1e9ea", "50a4a7725ee35124cca4e72a52bdf71f5088faf2", "a1497db913ea4031315e24a1027177ad0c4b680a", "3ee5f77594762b786611787860d7d58f4a328c9c", "22f3158eccb3ec449f23db87e270a46202cc9571", "bda5d3785886f9ad9e966fa060aaaaf470436d44", "86adf24bcc9aabec4e2543cf3433a47763c94a49", "cd07e9cc9264098159250f78b5f9faceba489800", "121af7d7fc747c4b36d00668a63c58ee5b368f97", "280d45fb813e75622b7c584ee7fba70066245871", "ed7745cd990064ba1029b15ba866b59cc7cf1cad", "96fda2ce5803979ba0295413b2750e9733619dd5", "43e43a94a580a9cfd4e1f5bc4d9d6964003af446", "c790d53077e17534f071a3b87cdf8bb362c7e839", "5b9dc0f10704b5663c06c7dde2732d4a6076de55", "ec9f036195ccfdac51b6daf241c45ce7010d0d78", "4a8b8746def96caa3efd65548040c5c597c4312a", "33e0687306fc700b3e34633e1219da0d52dd9fd7", "b7a5b5d284f517397dc2a8310ad8aee2e7897f54", "84124eba5ccd5a25d2275c3dd6d2f15e30225ef7", "24065d385bae5579be07607a1f63eb79cebf8773", "485eb41be3ce1600e9934167808b0319a6c3ec2f", "300c37d0bc67c906ae46de419fd2964555dcc8ba", "f970cc735d87ad8484a29a5bad69f529dd557471", "4913477a16c8354f032546b1444728c592823586", "6ce9b17283a3fc4f2a3df7fa1eaed80bac69f69e", "77bb7759e09b47b35d5447d1d6fe07957f939f68", "01c6a4ec199f92c11b5e46ae3a94e4228bac3990", "0c8ab9e08e6ba0de2cb9987cb0cc542d280b04c4", "1ddacefa549de21f734f43016115ce7d54ab3d94", "1e9758d282568763b209252bc3aeb7b47d269881", "7fa5ba03236425c2b3023391ca3437df4e69a255", "970b4d2ed1249af97cdf2fffdc7b4beae458db89", "e2279676b01e477b5e7333bab276678f4ad34753", "78c91d969c55a4a61184f81001c376810cdbd541", "21e6bb3dfd11477ab968edce4518adbd269b8841", "a15663e0c0a2427ac4da5161e4ed75d331a5a2be", "6eebd8762996501b28d3d94a7c166c79d37e7a57", "1e8ead5045c4b4de598c4eb570bfd9da14970129", "e5f803e055a3916d3915c2c19a1773d0dab08844", "ab559473a01836e72b9fb9393d6e07c5745528f3", "cb5ea214f4a3ddd50e821efea003340a8036408c", "12c68afcd77584f3db55b42f38c3ac0e19389b60", "eaa4c662f5f6408dd860757f7ab669a13b7f0a24", "1eec874715f47c5dfed4986dd87fe5fe93f619bb", "bfb8d036810fba95c73c6fa6e8f1a40dcc15d745", "026050f71175d235f3f91ca0e99e994c00f9b5a6", "63ccfa415c7933f5a9f067b43501c3d6896a5c7b", "8a382337ada0665ac5edf9e76c4caed0817a35cc", "0cc22d1dab50d9bab9501008e9b359cd9e51872a", "0e9f55c0ff758a91c6764f833b14b09ca788db20", "9ed3e04586f311b1e2b5ded9c9c4bfeeecf27f0c", "072fa3b84eb93db06134a2795c62cc0982475e9d", "4879d56e5edc07ba5a34bc08700f0eed72131131", "61acd4e07657094c2720bb60299dba0014ec89a6", "944ab8c7d73bf2ca439205543c906b7797c269f5", "70d64970a44c093e9756936fbbf1d88acb04dec5", "99b9eb691018f2ab253254659999b36f01263269", "065ec79836040f89df3c850a3b065de9222a8871", "fd0b7bda4edc22d39b83ea8386c8e94608234832", "89b4111f14cdf342188f96d3962581fd0afa042f", "7fd9c2d4ed3759a96313da416b140b04024778e8", "a4b0f11334d33de4f41bfeebfc520fb5b034a31e", "68ce1572b18c95fe9c60bc11d9d33f8310902154", "0ffbf9c316c90f9a1fa3fa7eca5cdcdd751c8a52", "be62019734554152c4feef62ba3092894b402efb", "b75c93c70e8534553006c084ddc72de39517ded4", "1e1334f76177ddf3ddc35f7359a1e04b65438dc4", "5bec2b3851a540233258ae3e35b833ee5a7d22c8", "d806790866ab9bad77f60436fe77232db8e0c1ba", "b79412cee14e583a5c6816c1124913f560303a95", "1ed5d99fe46c0b5083f97e65841cd8535a9451c1", "22c169fa05a0d5710bc111e451161e9d9141c29d", "b717d84d551de252300b9f161a5551162a936119", "0c8ac71e174a941ea7e14e7b503a12ae7eeca9db", "af17312546ad1016ae7f2ceca1a4fd2a95f0946c", "9d743bbef448e7c145aeb11e55cc05fdbafe9d6d", "972f121ff42d17c7c633937bff765f2fb11eaaf5", "9f59d0a003558066d2ff4fc1c77f461b4d233663", "81840ed3a0af562d428a9c8f9d8dcd5605c4c1f8", "1f669f4a971b58e845d935f436e050597eed8e99", "575d6a05bb27316ad677f19e79473e314e6c6f94", "747ca08cbf258da8d2b89ba31f24bdb17d7132bb", "566a39d753c494f57b4464d6bde61bf3593f7ceb", "f1d3e4aaa37dbd7996a0bbc2ac6015e4d0b2c687", "9bd0c4082a13de0be6c7daba999b55061011f3a5", "23b22f10d3e0a5726f58ae10c494a28103979c6f", "48832468be331e0257afd88ea71b807503551ca0", "0fb3b63090f95af97723efe565893eb25ea9188c", "584525fa2e6b3bbd4ca5e971aa7c372b6ce07e8c", "378b6d94bacffb0fcc1063476a7b9694e877ba12", "176e8eeefce2039189bfd65a8d0346e480591db7", "62e34fff5a29d2e27bb3c7ccca43daad2d164ac0", "88c6d4b73bd36e7b5a72f3c61536c8c93f8d2320", "ba8e0bda11af08b6037666b67cf54ae1f780822d", "5d056f03efb6470a8e13843da58a95cc985c5946", "eef408a49b943ff664142a980b08d76c5baad512", "0630b3677323c8c987f16f37545ac6073293de8d", "2682f197ab1437b3c79027320a983de8fa7a400c", "57db5b35f2473fc3608fe3519d6763c1d4984eed", "b0c379f740292ad2cad2c990a445f69167e18894", "1693e615c3a7a843880eb5bbf4e3f1beb0580f5c", "2b726b240fb75e459eacc8a6916a26a93373088f", "1c90ad1e264c29a8d180de47373257a5f1b5aa57", "651125ca22947e95e5be6206c3056988b850266a", "383f874ba7975c83b55c694ec0a70f51dc3a0ee5", "904a8241ef400bd85b1ad10267a1177bbde1c048", "72da95453c41e13e945735fee83ac19bc732693e", "dfd18b71f5c53ec2a95fcbe327cf7710da3b4851", "8bfbd28e6684e5507a150b7cc26392648b394e49", "177cbeb83c3a0868b9a5c75cd74edf4b972cba80", "11a7c4aadb47753c8d30cbda4ab347c361e4c66a", "3a30a54d8df929933e5e20bb7a4484f0a5a325f1", "1fbde67e87890e5d45864e66edb86136fbdbe20e", "27183d23f50884a0e06b978acf9ad77dbcbfb112", "bd65efb5d1fbff19dcd3cd24452f359013eac188", "f5a059e8f50ae137e0146fbf32e199d8c6dcb83a", "fd752a384a46e99e71694d8fc82b50d0b506e2a1", "0bdd8f824fa4d4e770e34268a78dca12fb6a135b", "cbd20c2199062724eee841016f1575cb7d5309b4", "05531fda7a82b18c42c7ae9d053349fdb8281b33", "5582aafd943f2b67805cdb4aba9e2f288dfe0ca8", "9b18cc5c938062161a4b6b0c71ee7a6c550a15f7", "0bc94d0c1e75d90be373c09941899a9810080924", "219b7b157f2a559ecdffe21c2a0edf5285931298", "acfa01182d18d8f3fbbd7df6be0998269116ba6d", "2ad9a338d81340b7b02510e7f9e390f9202ca72d", "759f7f9e4a363223dc06903ef88fed27a3a64826", "67fd4f209aa6e8359fc86bdc12c62bbdb0529077", "595d0fe1c259c02069075d8c687210211908c3ed", "ad84f49b2cd1b85a6d7df2304144a093f5b610a8", "c3b9d987015586245af449134a4dbb3d8e16f86e", "7c8d57ca9cbefd1c2b3f4d45ab6791adba2d6bb4", "58d496268f22d8cd35fbe7fa27919b80d84d9aa9", "25642be46de0f2e74e0da81a14646f8bfcc9000a", "ea370d80391c3f4b05e04c2248d8656351b99773", "015d24c1a8621bcb6b6beac3c4d5a34af5589ec6", "2f349ec19443523bc6c1e4b15fb677b1c188e253", "9a3454677eb0f356354fb5cfbfb38357e257eb23", "005f4fb2256c6fa293e738bb53ebf437a5b98d73", "41cbf0750fa0d08880068f9a89be92232795f357", "04d316dd48c44f90d137ff11b9b802020423778c", "614a547cb976fae955e276feb2ccc9a33f1c7806", "12d0c11d546d91e776a170898ebf3a38c010695c", "435bc494d3606d1137fb8b70d481bd6497f15090", "092d5bc60a21933abf98aa85ace8a9c85df16958", "866ae642b5b54abf78b4657cb1de24f7d4cca7f2", "05b6c32304dd1673c14f1e1efce4e4d5c4402275", "456d3118c93d30fbafb076f0a9d0d614d2c847a2", "4e81b72c551aa1fa6f831f7ce9cd8e5e5d9fa328", "856448a97a34f8ff60b22cbee936897c74f7a26f", "34b6466e3e69547f6d464ad6b5660b1e629a5c35", "38aad7aa346bef9af8711c1e1fb5fdcdb8a5edaf", "46773c8a2fa5012f7b3e16b44214de0da3f68859", "5853875ecc400b3b365f73cbf44e8680da2bc5ca", "fc7c428f604d13604a1d62e8a3e1b393c730791a", "d817729f2fc8509d138f8db73ef0ca519615c8fe", "3dd1338a5d0aa47fa2aef31654ee1392b8089991", "10b987b076fe56e08c89693cdb7207c13b870540", "de6539bd682157a05226f59434042e4d553ad8d6", "3dafecf541e7aba8b6431f6deb50d37e7ea8a8ff", "ed6801362ab442097e7f753f163b9e9c0584b257", "48b4f49ec708677fc9f70edc74fd0f92ef986406", "0ad0a1293f80c838c843726eeddf5a97f33f0c89", "ae5195c44ef7bff090bb5a17a9fe5f86a8c3b316", "927f86a6498e2a528f025e86782ce4ede317ae0b", "29b3f9f0fb821883a3c3bccbf0337c242c3b8a64", "539ca9db570b5e43be0576bb250e1ba7a727d640", "011c5bb510c9a4c24e2fc07e7464fa8493237058", "6c24fed42d9a1ec283d2aa39a2dd768256a1a066", "1d72a3afd6d8dd1d9a5e7c4aa5838e48ab18c41d", "9461d23c55f58af7f5ceb157af01a1e6e8347508", "785337b262534e43a4e14d21283e180bbce23621", "695f6dc7165aa3fca15d1b1deb4c496fc093ac19", "a2e86c23cde8899ac39d0df43d6c5e4dcf0ae2e6", "75c30403bad798381afa70f225e402ee7d84cd34", "17ff59bb388b155f613f7566ba7cd71ec780cdec", "a1f67319c37a3481802e42b11eaa57225a0dfd47", "84d6714ae7bc73acadcca41b94148d61c8599ea8", "0c320e30b37e0ac25e97a7d5201c8918603f0fcb", "e455165f51fde13633500c7f281a9bc641fce874", "6f911cb4b7c83baf67d2c262558535d360d37a3d", "c686bf5bf9b363e15df3af30d3a88d7ac093cfe9", "4d87784afdb704d9eca14010212afd5cd74c60ec", "3413af6c689eedb4fe3e7d6c5dc626647976307a", "bd2043d46ebd3b788a1ada7ee32627e88b79e75e", "6e6f47c4b2109e7824cd475336c3676faf9b113e", "49c88aa6a22a41eef4058578ce1470964439b35f", "48e681ee58b2615500cad3c69046bfa0f0400a33", "b6bf15f123a814538fff5db757a474be6fc0c72f", "062864148cc9e0fdc7cd6dff35611fd30da719d5", "2891ceceaf586e4ae013d932978074ff0a06801f", "1da7d851c8d6761b4e1ab3e037596969a295ae50", "9264b390aa00521f9bd01095ba0ba4b42bf84d7e", "90d8dbaa799430d7384425061317e0fa55bf5cbb", "42d9484b8258b84869589fd60ebd3ff0acbe0b3e", "0d6f874b5a0772d1ea88e85a010a01e381d02982", "5120fb7db8eadb26118847d0553fca1c22ed6f07", "0a8c6b40d6ca75bc1995083825e362137b130624", "83ce2c969ea323784b9098b9b170e015d559a1df", "abb3df5b61dc7550db96fc112f98fb99a9db8c93", "5d90f06bb70a0a3dced62413346235c02b1aa086", "a9ab913cd7d2330b93e0cdab3d5fe6cc47d74513", "c08ce05d1d096fb8410859b2134f38b3db308b6f", "0630b153af22b949e3160612dfd913d5a5f25f98", "b01de5e9554109a006a0cface1f11d45922abc0b", "0707316cac06f02a18019595a43b98ff8d56e63f", "86564bcb628d4ba6728babcd7c5a38d5fee39241", "0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c", "edab5891f057dd9222f92331cdd8c72a41390650", "5f57a1a3a1e5364792b35e8f5f259f92ad561c1f", "3554ed270f27f8c3d6f8d847f6c6b2c17a9668dd", "a12d9c1af6078f923066df9ab8eddb3cec85df1a", "00869507c550e2d840d730b04ca1e4346f205da0", "3bd63bea64c770df5049879f4398e65f958ebd23", "f445493badf53febbaeab340a4fca98d9e4ab7f7", "5c60f84f041432f27b6578eb586aa3a754f7a25f", "a649bc66524e5e61e4d34cc00159099b6b58db2f", "1f833d80883c112ca854aca12de671fce2162efe", "33030c23f6e25e30b140615bb190d5e1632c3d3b", "c48ee576130473efe6dc3ee47f552bc581aa68b2", "da288fca6b3bcaee87a034529da5621bb90123d1", "8d10cb114d58ff3688b06445ab1f006567a3ac82", "91f88cced4015d99e5234a45ddf0e127e53bdf21", "23a432a388552ab52437d428e5af2b6c195be635", "4610b1e9b18f913fbbdb5bee6502f55a47610ff5", "a165619977bc69a910a771e1096551073122775b", "02f1d5c896ced7f6f002eb7514ba49eca940b75c", "50131e57e14eafd385d94fb31e63f86a5bab9b9f", "004db007ac193d8df3630c453b5ceed773ccc4d9", "9f775ea5be1ae5f4182d07fb7c9399df82872205", "8eeac4ca19ddc919423c42447c28ce546a25c4f8", "78e966f8d137653390ccd6309d8345218fe275ee", "1921e0a97904bdf61e17a165ab159443414308ed", "0a66015112da542b9b6687e4b3c9ff73565d0844", "7f45650e4c9dd8cbc2bf2dd411fc24ba5631de60", "0bfabcf5c74cc17fe8b5777093699789411868b9", "75cfaaab672ab005539bdf1a9c79eed18be6d7f8", "4c7232d5c3caf09e9e5c53d697bb470246d3f4c7", "271f8f98e7b345b6b181d15bb714ce94f7b1923e", "1dc45403839d6aefe65c6e7f2179d5ea697dfeac", "771e78ccea7a03dd94bca10a7215dfe3b0f4623b", "8f84ff8921dcaf1a2682a759f1e8e515ab0eae4a", "cb474ea7c5f6d3c25a75a653baaad19cd12c8536", "19e7ba0098ea0b3fbb7b6333ece0e9740f726db3", "031497b0061f4536eb431545af69161d3a2b2d42", "5397dc42e7660d3dcd96abc95359e6dbeaed31d2", "776bc8955e801f6965e85b35d8e2dd6f2f1498ad", "1da87be8bf6b337076f1cf49629a5974a2f71439", "205814d838b67f4baf97a187a6a781dfa5271df9", "19cd6053bbb9b9c67da0c0881e31019f9ce28154", "82f8652c2059187b944ce65e87bacb6b765521f6", "158b233b1b26749658a14a966a921c89f82646e1", "2813b7e9da327baca5ced6da94e1754a6d80390f", "1701ee9e9518a055e82e79f6425645c4797c19de", "87e4d8e0fc4019405001683678cd199fc9936369", "56c808acbae8aa02869de984f366db344d300ea0", "b8f08a454853b6e4230878788245f1630bd32609", "3521904cced380b849325d6fda2a4d855edbe405", "ad26e62e83f706fec34d9393c8e62b22e2c75e45", "9949c9f75cd1bd8330ce113c72cdae628659e8f3", "5c97b70b4e2430dfb9e98bcfeaac77c87e45359e", "e3c4c44e33e1ae41137db586d89fd09d22712252", "a9f63dcae167630b0c6ba4131897539151217e2b", "44ee63d38e80492fa9875cf3fc28efcbe44ad8ea", "d01dea6b6928cdccc6a2521d36efe1d93edf6d76", "05818eddd8a35fed7f3041d591ef966f8e79bd9a", "3068dad264ece487e21fbb689d8f47d498c5aaa4", "23000287004800912e3469772f3a2a48704dd303", "155959429a6f44e7b980ff00f2d5c0343d71c4dd", "124a31521fb0b1a9cd1b1618baf07bc69684cd0c", "b3c8752cada163af9f72d37d2781ecd49b4c8c52", "e55f8123c5077dbb0d3531534cc4bbf2bd025f5a", "e97dbd90d97ae8f499a399d5fa2780d6ca08a393", "228eaf76e75de3ae12c28e5134b7b6095c16c49d", "e09249f111051df1dabd0fdc90194e9f513a5a7f", "753988cd61d17a677511df50fc3f6c40ba29ae1c", "b2180fc4f5cb46b5b5394487842399c501381d67", "e97f551cf836b51e44464eeb84a86fda00914a8a", "d3015812feb640c79ca8a098e7e27c35f4355ede", "4bb603d515ef338ee69b54ff7ad73b5d8117f4e5", "a52d6c456122007f10c90989a1e81dc8e1c599da", "7e463877264e70d53c844cf4b1bf3b15baec8cfb", "318eb316c0117059dd47978854cfa92baeaac1d2", "f2e70cc1603100548df96eef6cd9e28c547801b8", "6d88fb85fe5c61bd65e0a373cd39fac81a19596a", "7eb4c9ebd70092b3d93a79cdf68bc4e2f35b4b65", "779e5beb515ed26c47dbfc08304fe49233063c1b", "a5ee556c355392db1750df92ae2dc8867073e771", "1d730a452a5c03cc23f90d4fde71c08864f31c35", "4f7d9c5fc3e0fd1b1a4860003bf2b482a215f721", "477811ff147f99b21e3c28309abff1304106dbbe", "2270c94d3f9d9451b3d337aa5ba2d5681cb98497", "032ab4966465facd284531865529b124ef173a0e", "62e878445851c9d5e89a0ef8d49f11acd77e78ec", "2a2bc9c04a060a9ed67ffeb726d96882ff07882b", "252e48be0fd63d3a786021efa8733f8891101a82", "160bd6ca22957e528d2d81b59e71836b9644c9f4", "833fa04463d90aab4a9fe2870d480f0b40df446e", "0f1392c1180582a45b42e621e1526f03cc6e9ca6", "58ee038c6e4f62c01474f3d08f13589ea4ecef34", "409220cf5137d6dc6c85f440d618e44d244f402e", "72a1ecfcd5f0b022fef49cab72bb476e41dea40e", "6dba85c931592dc54ec1b8db08b2a723686bac54", "b1f42e2b1b560c2451a1d704430633aed71f2bb9", "50f88b364e818f6051330582854f80ea5ee3df5e", "37d18c386548277a6c94d221f0de7f24da7bb8ae", "a2afaa782be91f5baf9e9f1794d57dd29143cbf4", "9db7bc834ad534d48b22a87ab5f706833cc18d79", "be22647956f1bc8cf6f936ae3c85f5637492b6b8", "3bebff841ce7d40f0309bbc0e8cc454694061e82", "ee0f87a93fee7a7dc8d13760464dbd6ce1526626", "29c23c7d5d70aef54168ba20dccdd14f570901a3", "ecc2ea05877d720b725fb89bc3b0586a51cabdc7", "6f9458f584837bb26408e14823699ff4eaf330bb", "2cfee31ff4aa21e4e21cd5f018e1a9ed9ef33f5c", "4297deda7ea77fb90de2509c763738584b2353de", "4d267098356dc4cfcd3f5aefcc26588ffb23b8dc", "0f0499989f3331396af94f92c29f2eda9b58d4dc", "6f07560cb2ad1d15746df6da0f992601c7bb8815", "a4c12fb22e733e855459f92a2bc563645ee25f34", "9da2abae3072fd9fcff0e13b8f00fc21f22d0085", "81ff6d7f934f7134d93b2039d788b72f8593693c", "adf1b20cffb0ab12d20f878d07373efc4c1bc6c4", "1baeaa776c4f1cf17e690a73f8b38b8064c0e794", "a646319975ae38081b3788e9241917f1b096a95f", "3dc78b41ed926b88c9cc4d40c6c5250bfafad74a", "320ea4748b1f7e808eabedbedb75cce660122d26", "e5b01b4439ee779b425fdd99732101d0d0a47e7d", "5f592ed440b5fd4f454429981ee76dec73f934b3", "9d146936d7d06622e271764c8a050a92bc168f3c", "7b3022707facb5a2f0e8e042ea4f70fee61ae58d", "076d909aa2674b29fcbf09b5cd5c200926710c3d", "d5484f516e5e1253a90529a2018a75d697fa9e05", "dc72350bc950e3b91e323b6defa2acccb1190ce0", "02809c81a2948a5080b03b787c73565828a27675", "faefb598a66284e31154251b94cdb3e1bda53122", "756db84f76d745211464b5686a67bfdc23e18c19", "17501551acce05bfde4f0af77c21005f96e80553", "d522d63e0e8bdbee314b45085baf40caa08fd6b1", "70161d387927c542860669e929374f3b032d1b11", "af0fb9f0848a87e4782af88d56199ea03eaf2aea", "0e790522e68e44a5c99515e009049831b15cf29f", "1901aed12ca845cf22bc20db6427635a145cbf22", "cf8f5cad6aa87a6364f6b5dd985116b902050acf", "4c971c934a3c56d08af92117cc8b505e03754262", "e54f6f8220d958450602a3df56153c6b82cc60fa", "d002e8e3c803e416c894811af86371c79272ec41", "2a869bc7c1488023c6e791e9c9071badfbad749d", "5456166e3bfe78a353df988897ec0bd66cee937f", "2afde5e414aa94e20e2b30a5aa277ac36ca41d6a", "c3c435e495cfca37828622262f997975ad6c7e4c", "3cd27ba9984367f0024767f439a5089255737036", "c2e9300b0e72dca0b95ccd4181fc2a7a5178dea7", "9a9998098e2b28c55e0b1c9032c6092572096386", "423aacfe7467961e32f012bc6de10d636ebc0236", "545dc167a4879ce2d61836cb300479c305f8e096", "3cd1c3c7ce30e3adc26df36ed550174311a9aa80", "5ebd9457a3a09889fad8cc86a91b274da5986636", "498a174241eb5f6b66179cece13536d2a5fc7802", "b06b960293b1c7744580e03539713c9fd83c0b63", "1fed6a571d9f688e18960e560d9441f5c5e3e2bd", "d689cdb4e535be040316722229e6362de6617f9e", "4a3afaabdaa17154505738e9bffc16d9594ef2c8", "30e28beb92239447aff0718119195c0539aa58d8", "bea5780d621e669e8069f05d0f2fc0db9df4b50f", "f724cbf5035e2df0dbe9a4992a0100465f5c6db5", "32c6086b1605698c8b775b6920741981e85b217d", "02fa3f9517bfede1c2b61570f792f6ed8de364f3", "3ba3ef6d8394055d43bf4fe62227fbae8ab9b195", "58622d45472f454ea64fd456d9b52ed9f7dad7f4", "0701f2ee5a06e9ab760ab9326a33b1d4b8d83414", "7aab4c9e2ab29218d6719e7d37e97afdcb3f457c", "427c24c75128412166326e2afda1e3cd5a35a16a", "2a64437674b1fada4b7e8c2df7da23408111f11e", "7cabf60cf1fcf69cadc2b2fbb33b6886dd8b213a", "00845bb3700c8a4f41d15655ea1846be3c18288c", "364c79d2d98819b27641c651cf6553142ef747bf", "0edd128d362be5d2d107970bcb05579cbaafd948", "f5a52b69dde106cb69cb7c35dd8ca23071966876", "dc9f29118e38602c03bb2866f8b12ce478aad52c", "4a79923948c6ccda965077287dc6fd1d3728d680", "d44b198e7ab75f2c06257f4129031b5ef5b3d575", "7ae33229eb26ba8567c29a44289dfeb803ab2426", "00dec7b4e082e9345e1b34e36d42669f12c129f2", "2fef9c616bc2b54c732939cffed3d1789d5f499a", "d61165b4551c90a522c34c233187dd0735fba50e", "e09ee005c07fdb5a370c73909a447e5303a74129", "b340c9efbf477b8842bd27168fe1d81879f6417e", "6cf1d69e447e9687dbd2d92572f44bddbabd8192", "6ef0b43cf897f527540c29cae0618aabb7329072", "0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a", "61668aeeb60bd2ede1f9b0873f0e19f6f845a029", "d4bf98518791e0f9177516d4566ca5146fb09593", "cc4aaba48546c598c1585f4973b0337da79f8c80", "2d31ab536b3c8a05de0d24e0257ca4433d5a7c75", "3a39cb039fb0f569ab88dfb058d98650a17c9f5c", "b46538db32a8954a087214370586551ac12632d5", "d900842af0542c283fbeadeec9905922c566e7c2", "4a8085987032e85ac8017d9977a4b76b0d8fa4ac", "ee24d974dd3805e5d30c44c48b53a0ce23cc05f9", "edf96fab969c2745ef0e1baabb2154e0b06f22e2", "2fdd09747f491249e706fb0df51dc6b59f0b7b23", "d2f16e84f5df5f00f2d5b7326ab28bf0fa233007", "625d68fdb0db5c3ad27c8defd608c3841086392d", "3d00fad9ebc9c4cd13bef710de91f4c9d1870887", "10ecdc05144b2c0357abf5df9cef5b843c372b59", "d4c9bb2e6e3b19cd485837d8322884e137f7ee35", "3be7b7eb11714e6191dd301a696c734e8d07435f", "11d33ad636796e1832b77f78bc3357affab44256", "75e9401e70c05c4d080e2d17f83ed2b61b44b3af", "71faeee57ea250a989d2b928384350edef37c963", "52b7f1323229c132ed0a79194d7cedc3b289ff37", "afe2b41cd5af65feda66fc71bd76db602954c6eb", "e19b60e5b8083828285a2baa781ceaad27f6353c", "2a9114c24c9ab0d3beb598a33df54966522dec88", "11a089c83fc91bb78c7c5104b5763887edc13875", "2eebf7012a6179264c3c7ebcbedfc8f288cbdd87", "5535ecf25b0ab5b2ebf26af15fc2caf62e25dad3", "1e511a36cd6c793189c544a6f935958a2d98a737", "9bd36eff633c52c6f6e8ead009367f6b6c43f16f", "da9b7005385544f063c0789438e79aa6da9adcf1", "36c19ab9e0e358b2ba485a32a57eafebe0753c20", "4bb83b00e7b8eb27ad04d4bb80499e91fc471a07", "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "e0b868e7dbf9e43d01082c5f24fcb9e3c01db81a", "9a5a1763e0342d41cb1d1eef18a007be6e8dba89", "214db8a5872f7be48cdb8876e0233efecdcb6061", "6f68ca4cc05ef8db344f0bf1ee394e93d519e77e", "efb181d56c385cf20efb9c0d1543fc0e7464d3f0", "cf0ff92591563ab59e18449b79f058d1f9db9e35", "d22a8bac307e1550a9542c3d4e316496b968bf4f", "7bf8ba8c7fff5e8aa23b5bc68aa1756f6a55bfc0", "4cc5fb6cf48b2c58b283460b19f3beeb7e5b6a22", "c673e2a6b52fa284bde1914214065a247b1a8faf", "4c32a8b84e2ca55586cb655881afb55f0981b15f", "86ee4b6b357c7f30009c34163ee7b5eccf6dafa8", "faff106a31c0eaa60511c7d9a8e4cd4c42374b34", "114b12559cbc2916b90728b09f158030d332e6a1", "87cd95dbe885762ec0f733bc9d232eb4d63cc995", "4987ac5638e1fdb116cc76626465f166998d7536", "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "5e0959a0d4ac8794429c3c3b604b346f650dfd28", "b411850a3614fbb06bc77e6f776b2f23af563a90", "5d5c3aaab050ebea3f7610109617c5d30c17bf55", "6729895ecfd8eed9e73e898b54d6c7f18c095a91", "400630ed6191d740f463a56e21d5da5d69f8dadd", "ea4a93a97bf0bff059034c707fa75a2ca13d8048", "4a13206bc77708debbcbfb01928a3d23ae632d8a", "60aa6b163fd8bc16965807fdd47634bedb04989d", "9a99c23aaac3598180c115e3843d06faa4211fe4", "dda820650eed893fd88d4bc9fe11fd238f3f4bbf", "0b07f20c2037a6ca5fcc1dd022092fd5c57dd647", "1a81c722727299e45af289d905d7dcf157174248", "e5aac48bd54d0954e351123c0ee8128890dc782f", "520901f189d7943ff060239d4152b34edc0524ae", "cc7b941da55d2a4e7bb704f15e49fb4dcd6ee377", "2108b67bd717d349a3474a5ec3a34113b5943a6b", "6c5682f8ea2aa384878f91a561689a544dd0fec1", "2a4117849c88d4728c33b1becaa9fb6ed7030725", "0c54851799df1cec365e4c8c8e48d8b44f3a277e", "165d966940dcccf9c9976ebffcabe72d66996b05", "1469b18d0bb62b01ef4012eeedc478536897dbc3", "61e8584f5f37e6f47bdd2be2f93251ed5934cf48", "a2a0580514f493faef2be987a10c99846e7dfc9e", "80936791605589168f05e0d56d1a934a876dee02", "4af4098deffc22cf901f38b4634d316df68975ab", "bcee0fcc3af1f05d567d25012a64a08857d31bd5", "fbb304770d33f44006d134906481208ad087ce63", "55e4cf29055d1556baf72cd17d2bdb692c8554c0", "3aa9d042e977f99d1124d6ce6cd83d3feb975ec2", "cfd700cb28529a9119824389451ddde9c041275e", "283a2bb8aece06b975a1109aaa8daecdf4d3df42", "16eb964a5a0f5fa3692440f07dd60b23354f5f58", "2bb2ba7c96d40e269fc6a2d5384c739ff9fa16eb", "8bf05e179d50def46b008147fd3cce6c582a542f", "09ae4b2c851a06e0bde3f4e00b9b7c6e5ac3ddac", "4f46dba09e075b2e7dfae1ba2a71e8e21b46e88d", "033faa9639fab487f79f65c2e27d792221e3edeb", "25e979e3c2d4fde4f297bf845796664424ab4c29", "3eda28fba2917dac593bf5d760ec79fc9732da00", "edef734a0bc729162ff7a805363eda88e1633c8d", "6122dc0289c91378585711dfef07b52a1adc9f3c", "de4bcded33b562a8af7f601d17c3202965eb4034", "646fa86edc22ccc452a44ac7a5953ba62fc0929b", "7d92d82eae23fe872e8d29116ae22cbd0b15abce", "0a70401d161c6c180d84e8139ee8bfbaadb2baad", "4c69da79843016d5d934464d3777030741978180", "057c8f04bc5e9f528589eeb3806734e38b1ecc83", "8773d5dcc15ad7f3de8a3deb1fcd2b5e522bf869", "4a3ba4a8f6945382b50d053b58aa0fc7c5199b4d", "8a722c17e6bda2df13f03ca522119f4c8b5bfff8", "3c7204e7f1f7023a569a3e347f172f511ba1c752", "0e8f56d7e0b639e182d1d9693b79653cfd98aaa3", "c04d4dea28947da14cb2c62a41feec51763ceaac", "1272d526614e40ce859e73de7e39a54baffd28cc", "8520da50e5e234c14272921868ff36d55e6c7837", "e819d8ec94ff9b07f81bcfcf6eb66301aa271805", "7abb316e3f1f8c6e6e85e4d416e2b41871aa4ba2", "ca6b2b75db9ff8444744df9149601a4ef2beefd4", "81fe36a1a49eabe38c7d98602447eec518af1aa2", "7dd3dabbc01928f36b4737e481ab4fb2cca16695", "30e547dfab832ea0428b137d9e4824a22d8efd0b", "5fc8dd97ee6dcf60b474f2f169331a05b0242805", "b103cbe3fd070aca73da3acfb3e176e58fa090ea", "bade9b38c45afd4f988e246974427685f3ff599f", "5393c6caebf34d600e6622aed031e961a6c1121b", "fcf91995dc4d9b0cee84bda5b5b0ce5b757740ac", "19746957aa0d800d550da246a025ad44409cdb03", "10ca3d8802ab0cc6ce000682a42fd9f6575a2006", "c2b9d6742e504491800cee44adb05d2d706fc209", "3e734cc79496091e8b08df8d781d005651885c38", "97f5fb31317f75c7ba412caa1adb46de4c51c52d", "e9c2b7677660820019ac5fe0fff9ac3409555b63", "110e44112bb0b742ca2c8ee607fc359698ee1198", "39ebac62009e5f3b2aeb4dc6295f7ce4530e7174", "910022af8e4812334270e9706e16f9017197fc0d", "166d8f840c502c5095c8651540dd393743d63ce9", "ff9af51b07a7e80706361cd064a25d99cde64236", "f9dd2ca5f50642378bd1ac03db4bf74a65b83481", "8cb4349f7d4b04a2e98b727524d3699bad50de1c", "e91783cd31ffe99b050a3d2ee06f632385079423", "f9129b3858c14b5f6cca1fcbf31c4816d94a5038", "0691b9cd1b9b44bff297a62277be514ede9df01d", "d0b77a2cb1621d0b22005c61656349ed3f7b747a", "57c34c5fdd602df84f187f8903efc2972da806a7", "39f525f3a0475e6bbfbe781ae3a74aca5b401125", "abb68f5f393f60695ab16dcee08f2638ab3c7809", "92e7e867daa56d531646e75c4e1b72e6983e59d6", "40a883133e4a21f2b67f2ae689f619cb29fcf2ad", "431ab9a99eb7bd9bd9ced2d32afdda71bbdcddd0", "260a975bb1562127634e3447890447d593e4d6dc", "8959e091e26ff040e3e495984e1704401b7f500b", "5a4fe479d3b737dd29c4cd8b1241a050ea7caccf", "8b20737b454fa8c2848979b5c76be9915a65a75f", "4bc1c2cea06e5f42905f5ee99a6e2c1693c098f6", "4699f98cfdb19e57c2c14c046d0a658ed2267aa7", "e265b020323937234d4ef85b4773e95549baf580", "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "2328b0b5d4e9d4b78b1b9002407a533c21ff66f1", "2409557812a3d26258949ba73a05031591f42bdc", "86dac8e830702e720880bc62d5c1d835fbaf477b", "209a1f024ade2a22d483a7e2b10307a9d000826a", "d5e12c9286038afaf9ae764b044929cd9a458c95", "19d3b02185ad36fb0b792f2a15a027c58ac91e8e", "958055a314841c2d963db16075d9f66f6a803d59", "c6260f83e86dd4d1ece92e528422ecc6e36c13ef", "b401854f6ad4a0a01aa273342f6c40e6caaa8552", "3b2697d76f035304bfeb57f6a682224c87645065", "4b042eb64ddb8991c0e63fff02b1c51c378a8f58", "cebb9e30f8046109923ff5768a2ba9bcdb25fee5", "7a1bf891e09cc7e12a0400c93aa0d1d598a3aaf7", "08d625158727bd97ba6fc58992158ee55a53011c", "9efedc7dd4596819756135c7f1ac3be3d27887a9", "186d6d47855cb00c5bc99497932422b8963510cd", "fd9073597e8d219e39f78ea44d2a502f8f2ee27f", "5b7cf29f164ec59a15ddb55b4af84ca07231f35d", "b26f6e3cad2b3d129c0e70e9307ce9197cad2123", "45a2d0b9d5361742a567bd1978036c0c14c5bd1f", "0cebf440622050f8149d14b803a969917348844b", "afd1e4157245d56711d4f16a5b7c9fd1f39a5139", "4bb1a4ebdfa98e30e12fffec3fe5a75c6c113bab", "aa2a4f7cf8866d513053873a410879ab5b34b53a", "de10c2806f7c5dce2381435546d95435ea362e37", "68667c5d7144c4ad5c8d447c9891356ebcc83e3f", "b5a778e8ce38d1131b9304652c09b2645b41e0c1", "134af834fcbd8206ea60d737aab324aeade85428", "635804db97b8251c54674ade12f3de494d9aa6d1", "e597aca96ea1c928f13d15b7c4b46e3d41861afe", "61f93ed515b3bfac822deed348d9e21d5dffe373", "0eeca9b515768d11cd5f9c37dfd997b808213738", "dbfce5a560a0808c2108ef30bd384a92da6977eb", "82d446206a3e9afba7e5b8c112227df681ef422a", "969b889dc0de12a2fa10611f1a5fe57ab3de1e49", "7f4c9a659aa32482a646b7a7e1e6e68cead381e9", "51d438a7d0841fa25367323f7b12d76c76d44caa", "9ecd0f6bf02bbaf43a9b186c633d04263049ab6f", "861f4aac1178bf1c4dd1373dbf2794be54c195d4", "a2ad9ae7c5adbbce9ded16ac3ebdfa96505c0f46", "f0cc9d73b1e5d7f91f43071950bfda619b1443bf", "95ed9e883b6321658b95a8db28d0704e90973a9d", "2960663d6d9f09bf52b030fb5b760cd32afdff99", "cade92eccd80dad65ac7bf93410177c885a4c2a5", "5c1e0e94d6cb74448c7b3c1e0db42121be4e9bd6", "fb26f1175db9ac4976ee9935083694a9e459ddcc", "5ba8bb7d204e7a5a29a043792546577500e2e5c1", "a49acd70550c209965a6d39d7ff92d11f0a5b1b6", "f8420447086739561867a8227e2bae65628584d5", "aad03480c30c0a3d917d171d8d6b914026fe5105", "a32f693e98ae35da5508c8eee245a876b6e130a1", "6a26016754371bfacc6fa2d116fe9d2efdafab5e", "47785095076b48393bdcffea3267c686a5214900", "89cdedb35b487bcf07d6f53aa91463ea2de8da66", "ff82c10c90d327e84fddaba65065d956c105763a", "e24a5e843d2ea999393b9f278f4b5c80f8a651d1", "2704959c75a2e6741867ae18f11fa822fa544c74", "db299ad09f629a0fcd45b74fa567da476d83a4f3", "15a9f812e781cf85c283f7cf2aa2928b370329c5", "a061fe051e3909da55c20dd0a486ff86e1f3ed55", "e985e7ec130ce4552222d7fb4b2d2f923fd2a501", "152ca42d6701db43dbd8a37901d56a52e4a9e6f9", "b8dc8b405ab941b9ca8313f08a6cdecae1124316", "f180db1f0216c097ed9d669ea69e9d3eddd8eb8a", "23e6517b8ed4dd2ff5dd452f25fd5dafdf905906", "3af0a26ef9a4084703b310eb997ca630d0bae237", "919717628a5ea1bb258489a0f5bae11d24da5787", "3abc833f4d689f37cc8a28f47fb42e32deaa4b17", "3ce8a74b47f81ec66046f2486afa1a89e3165dfd", "0535101387033bf0b5ddf662a8c4d98caa1adc52", "9ab6c8511222c592a571cedb7b04a30062cafe41", "a87aa2271ef76d54d15b2dea9a71c6d04ab461ec", "c64464957177bc9e98f6ca2251bde1b49144af25", "13c4a4359e9d7f5b2abe1b9542c0950946b0565a", "7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44", "67a496908ff624d0e8d8ac2412231c53f1424d59", "9507b1a7af5442f8c247451a63400893de34d9f9", "141487cd6d32f6916bdcb029ac8159eba44e23de", "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "3d25eb8241345f86101fda145d95d89c27844fd1", "0159b548d04a21938f066adc44bd7ca95bcb226b", "67fdcbc07358605a8fd8eadf1200329af3c25749", "ad3caae50feee550b047e17699cfe7bb9e243cf5", "fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073", "7d941dbab0bb645af81781bd3867ebde11c3641d", "d52fa3620648792337809cb664efefec9dc0628f", "3c4c15a6597223887e0a5384237fd2a89b176e4a", "d517b13f2b152c913b81ce534a149493517dbdad", "888bc20bd71d4ab7e9fa16677848ce9332dd80d9", "c9cd6be6bf5f09b245b707aed6f6cb51dd688da3", "efef00465e1b2f4003e838e50f9c8fa1c8ffaf3e", "06cea45f1b965b9820d80ca1107661b54cdb7e8e", "55ef8c3c28e2afda486d8471205204927127c605", "a00ee78381f0bd5926851a68d6ee68368b44a5e1", "6d2c81825312cde3914eb9f06d7965612df0d06f", "06f969d3858b6d14425fcbe7ff12b72e213ee240", "e97a0cbd5f6a239a351855f691c917d9338d7116", "454cb7c8f4e9c777b1062e71cf3bef717b941657", "02d423de6ee65037ea6c3f4a8f2f269c210fb163", "412a82b94129477d3cce2f737365219103715db2", "eb3f204bba4662bcb46a64144f15c0fcd51a02b8", "65539436abf0eedabeb915a52f787b962722c99a", "f57891b2e5860f42c9cbe3c58e926b891270277e", "4a1a7e5d52e097d1defb523575fb8de1a5b24171", "5060e2e7d94e002a5376f4edfd2e48ac01d6221f", "4f21a805c8f6c0341d78dcfebd4e1841f9fa0f86", "624706748e2e62a4e07ae761543da6d41e3f8fcd", "877d083b2a3a75cc1bb25f770a9c5684bf5f6f44", "0162e84bbe995ec06e8e59dd9023c67d8f0e8880", "a87bc818f7409ac97c8719aa8fae2c40d214ebbc", "678166999912492688251a1ce98dfb79d3c60ddd", "05e733bb33a3ae9413642254c456cf7ae1d7f4bf", "3794632e53a463a3b9bf83791ba6f61f1d654a79", "0068204e6f250c7e8a26e5dcccc37b36808bca32", "9f44ac286c4d9b9005f639f844dd2e74b371262f", "a6a6cfae45e8633c01793debf43592b7d515f65d", "66e6f08873325d37e0ec20a4769ce881e04e964e", "6c52c12644321d4256306feaf784ccae6ebc4fea", "02227c94dd41fe0b439e050d377b0beb5d427cda", "87a99f1e27c8f1a13f5c1971f4c38b0fa59456ef", "15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74", "6dd68c403d3edfa77c034c46925da058a539921f", "505333647d4fe7eb80c6c390f79ae601dd1955bd", "856b1e24fcf33dbf0e8bbf07e75c2cf712654b5b", "78bdba66b1a5fb19824be37c4f5c2d20e0e3b34f", "94c4c325c8f7faa85a12b70fe7218e87049ed203", "72635f4e479e234a9ceb9c836153830621b308c7", "97f4a74eec00c5d2a42c6575f99d95567b78fcc6", "7b8baf809d9b643145e089b7a1650923487cf451", "e18cc09c3d3d79df6cd40ea5cf13ad40eacb8a73", "3981d46c0b453f484aede9215bf9d85974d86d63", "dde3b1fcf0009e247f838d4e7a9f57ccc0593541", "4f77c682f133d5010762556ebf512533524da071", "313387fc6c5b5561f23fdc63a546b18f54f6bebc", "3a4abb2b2a8a499bc10b29e0eb293d3e24503053", "3805d47da61527137b6f44b92af3017a2dfe7bd5", "9b95153e4d3972d59fabef0fddce9b7207836b1b", "5bf7a81e48bbae954d7a19615292d9d88698cd75", "805c77bd351fc98d6acbee68b73af915c5cb6776", "13564c316b729cfb516f0c8a319990ea8e69349a", "c5b05718963f4edff80456c441796e4199ad8d41", "e0aa9ab8f00b2bf0dd1b6ffd5c00e5a15b6a67e1", "9fa5d5b2cd6d625973d735e70d44824eb0118a33", "a21b8aadb27cd10d8a228fe1aad27c0c88d67f15", "f986968735459e789890f24b6b277b0920a9725d", "ca754b826476b3e4083a0a6fbac3ac39b494fd43", "5c77901df1e0f52a9774b39e730c31afbc1214a7", "b9fd6c8ae5c3dce4a7a40989d6dbf62f0093dc6e", "05b0383b4cfe007bbad92e72ee361f95e7e9a458", "1839830486082578d2612e46a89e0e727ea1773a", "887b7d34ebac80bbe3fb3792ed579dd82ff7e373", "5d38cc38f3a92e86cf2b6167810eec5893721d03", "2311cdd241c118395a510776ec226aff7725ebc8", "1cf4abbd052c94e63557b7922f7a5fc7e22c6e3f", "c6bbb56a26222bdb8ce7dd829cff38b67d4b03cd", "d9b0dca3a9bf7cbf60ae3eea7bca26cf987d1445", "d474666b880ad7b8a7dfd910d4f0adb7302072df", "134fe1c4f45cea3339c094fee817e7a024d73d88", "ad4ee8e1ea26edbd2b1f921d899197d56cb2f57b", "513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b", "4354ed06582b37e52bc23d0b1e86993d88c00e92", "a511463a423f842bdb524009f6ce6c6b0ffa0f77", "9c2f3e9c223153b70f37ee84224d67b5a577bd58", "1eccf152d034b9ef575a29e6030661627ed0f9fb", "ab34ed858412b08441259374a83f4b3adb615789", "cae208e906f5c21d7c8f00c5e237cced25883da0", "253cedd3022e25a79bcaffe74e3405db65c6d2ce", "0be936107834d08f381018f374979e0949e6b932", "224f31a02eac15e3ec6b7a37136726aff5d0d4d3", "050836151004b1997972c3fcbff0b85de8308e38", "da86500475912ef286d384b4d556df748cedad0e", "bef6daed8cd1ac90ee1c0a42e5c019bbf523491c", "3781cb252207fa5d41f0519e6ee84c26a393bff5", "08aaaf56277f7f9897353a6b09a63ea90b4cc554", "480492ca998b3393b370d176d1f990a3db1c8e12", "ba1c6d526b1d0586d5c1eca811db3ed3ce106254", "8458e49fb08d2cca3a8d7355465e182c30785220", "0bf26d2fd1b375f50c0a6bef086f09f7698c3156", "75003c069da53911f714d8d28b121ed9b29e0911", "81006fe4c4947d225b9fa17e6b98b8acb36a7692", "558540d73fec6fd3856fe0695ad8d9c0b5fe1773", "fb15a8189d02e3b989d553a779670f409f53fb17", "c80e9854c5ff43b0958119d04e884418d7c05c38", "f9e388544ae371cdd1d73b2e444cb46d9532f530", "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "763b9ab0218760aaee314fc92c62efc9a2095b46", "ece390deb6576dbc1fdf132f182a1cc75eb67832", "1d03698a46ff12fdfaf4811528b3e7961dfd2fe6", "93ec46e05059d08c8e454e22c66c34d97f2a2349", "5e286a45a4780a142e1420728ab99cb92993ab50", "d91d1fc3f54fafaa66df12b9db2f83b477992e37", "91eae81dbba3013261292296bb929a18d73b447f", "0fe5d8acc77f54d60edc56c012f35517d9c861da", "01e77cd46ab75bab8f4b176455f0daa592e5f979", "398bbf007544ee736d7bb4227fc632a60125d0f7", "02086be014c4a276663e66ffde4d14f9c4cebe7e", "0029418d56d8fe71d1d45bdaad88e5cc75dc58e7", "817f38e6e9844d4513047916fe88561a758846e7", "09f47fb5a14bb607b889c5da669e670fe02efb40", "2850aa5324998b6d656d9d9c20f0eaf9d8946e2f", "936d8ba4bf32ba96fd40a7a3e7f6e0d1b15040e5", "6e3f5d761df91f4ff598cf1bf8814c2f5597b553", "68b697c207761c2acf077072ef0fcfef102f7d72", "41399dac2075aa82421c8603edb29427da3a6166", "46d0a519da10160a20a3070cc53e5b9401066526", "1afe9919ddb2b245e21b610fa96037724bcdf648", "213777d00adf001486e6fbaff879eeba7ff3070d", "67a3cc056a539d17f00b0be550a2fc7cb2118dc5", "4a8f521b929f72da2e9ee4af9f43e941f02bd114", "dc0d690da905cf9cb83d606e522b89df2818bb53", "7a92007531fb19c46b1d69f93b52ce6650c1ca99", "41fc42b9557d6b954c932617ae34390007babc65", "882190b77ac33c5c988b1b818afcf83e5ccf9c4f", "9f2d7b7f5d983cfc02dc3b06dadddc4902afdd83", "d70874832f361ae1b67abb210de32ea88c5608a5", "02f7077d6488da99b013937f19e138ce2830f982", "04b2cddc8e04a02d685d6476f00d0d25d4dd5e72", "cb658e9e0823dc7afe66b593307b230cc2747790", "f5c99652c4c89e56156faf2bed361a15de6162d5", "6b83f83a374312c7246ea694f1c138641fea0962", "0a2c9e1dab6e32bff5fa3fa4a1de10547f818d2d", "ce5747733e8d796ca98a8d2b465f9bc3cbf24931", "0443c1dcf47b196752c89f726cc840a2437382ed", "e1e490b5d0a179b8eea022b64e83bbd611114d4e", "d264a1b519c1e68d6f07cd05b7422061647e1dfe", "709198f1a7d42fb87d46a8f5dc48e23e6564df1c", "1697a4188b9f75ff5324eb9957b8317f459bbf59", "357b39c9667ec894410042a8338a6c63f1a97bac", "2d54dc50bbc1a0a63b6f1000bc255f88d57a7a63", "c71db5d3546e22227662ee0f0ce586495ef18899", "046f1c194a09fc84f535c27a3373622223a80c67", "464cd3c5f0e9a05dd685a7b71fe88b913da520b4", "1225619985309d5b7ea7cd55985707a2e07dec90", "7671234c3726fda01b2842f85327624f0dda8ead", "56bb321e0e180f72be9c4e9eb791b251073750e2", "3765c26362ad1095dfe6744c6d52494ea106a42c", "3bdef2961f9572d2d0f35148a7fa8a3a81f50dea", "fcd7407d0df030d03e3a8879f184d4b3ceac4fb2", "7cd99c15e5a1791f1fa5c9c9969312c7dd646574", "1f03f21ba6c1bf66b025029b10d4bc9bd7f65a81", "31a521f2e1abee3b6be6e98b33aa915e3c4dd8f9", "32ef19e90e7834ec09ef19fcef7cd2aa6eff85a9", "811cab87c37cafde75d5b289639fa409d8c4af86", "7df67fa3a69f580767cfe52b74329c26a2fb6352", "3ec5afaee732157a1039d25b953aec38bc151638", "2d4215a73e4cabc12a8ea5f49a3661d741add0c4", "066077e9d76c779fd9c399b8fd51cb6a6da3e3e7", "832b37fab195a8ed71614c87666b9f6e71e367c6", "2467767aaba7c380e742ff3e3d1a84a649163f38", "365b72a225a18a930b96e7c0b215b9fede8a0968", "98286df6d923d787f26e034bbaf3a5a64ac29cb1", "85ac4459daedecf04c46c0fd90adf57238a5993a", "12149fc431d2b3ec4d1f194e92e74c765e51ee67", "d5b66763cf15d4eefc8a5f15a498262bd9e58526", "1f736b39ef43e3dcc82e6c62a38b94a630b7d830", "dadfa5bebaec79a378e3c260d6c5c415f82bb5d1", "d8abf01fce0d44665949e7a73716fff7731fa6da", "02c8de83c3bd2226a918c925400628902b6f175a", "ad2afeb4c1975c637291bc3f7087d665c3f501c8", "77199ec703f163e716c47c836048e7f7c0e61370", "05384ac77be3211fb7d221802bc79eb3c9fa2873", "3a0cceb1a10697e3e17738579d27708c9c3303a8", "34cc32571dc9567cdf094765ebf8399288d833da", "5d9d1b95d5afd58f6e53512b7ddd04b78d62864c", "f6c3a40ad2dc387bb6a1887497707146280dd695", "6bd6460ec06adc1bd69d9517d116fd1545c04ac7", "582c87ef9e98c24694c83eb03853eb96a4d84809", "1856e71437886af2366b620bcfe4caf891425f7b", "6efdb14cff9cdd9ed049eb8857b9f64ec38a45b8", "95ad4f39a2368b26c429cf8118364d63c3617ccc", "5b25b9053ceafe1cf8258d8daa818a2da80c800f", "0523e14247d74c4505cd5e32e1f0495f291ec432", "5b5d8b55e3365f74f4dbdbfdf7b72452a688692f", "6d7dabc58f53c0233d6d593a8fee76d1c7f44033", "401a8272c60216d1ce8be58edc13b42b1bfdf912", "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "396aacab076a3607429f58ce442d5d57b5aaa794", "955aa3e7317e236e41f05ec2853b64236c252af0", "090b341def78df92d562e7d8e7f9d131a68ca769", "da6b2dfb5b0b91759a69a388a4cee5eb1187ad8a", "3f57498a6ddffa18225e6f10e9d5bc7f9bd24613", "e22406cff5049dec33dcc8c60fa79cbf4c28ab67", "ca48c87bbba1a07cf126cf3bb04a53d1758d66f5", "106150b707a31f0825bdae44eca4139b715547d6", "b69badabc3fddc9710faa44c530473397303b0b9", "02d7f9715cdce854d727ba763c81aae5b04d3a3b", "2709bb385ce53c83a5fe952d54a4c5e5786c0849", "3b374fd726c8cd2c79c1092d76e3583265866362", "10554295addeae86571a26de6c2ad7e274963953", "23e0571fd42347ca2bdf424b8562c6c6f72b88fc", "12660f0defc6580e566c0fa2ac909971d6c6883b", "bfa6ad4d71008505729274d008a9b4a7d92b2985", "0d05c3c1ea5a1b4f5b4c66e08f4185255d286e94", "6dc71e318afd9a9628ab091ea7519fbfd97e0ef4", "0b3a5267c6543a8b4ff3473199bbc648596f6776", "268da7a23078849e10ae8209d0bb1e5b98ab5244", "d4be2bd85176e5c3a701174d7bef2c81aa5aef02", "4a83d9d07cbac4a8a279073e3873d01f3215f2f8", "1db9e85f9bcbf14ff6174889985eb3db4cb0c132", "ee0d7a1dd5f0821b6f48113a283b9196a38d1c6c", "ca627984743536d9403cbc25c00d033bcc1cb839", "17579791ead67262fcfb62ed8765e115fb5eca6f", "21dd874d7103d5c9c95b8ad52f0cbf1928b926e8", "038554418107375d4c2f5f6f8afbc04b1f9a6afe", "6e80ad43c5f383c1d87b1ced2a336fe5cd44e044", "587caa61ac2ff1b45acf5c8f4ae1478addd79b7f", "3ab93fe26a46f8bc0999e68af71a0907a63a5e65", "7ed241bcf77552889850640ca9782993fa78c1a9", "2396ff03c41c498ff20e3a0e5419afa45e4a9d41", "05962afc7380a1e13a99534979d3e5905978f27d", "3b5b6d19d4733ab606c39c69a889f9e67967f151", "3a772ed83fdc90e10def9d38f59153aee49cd47b", "2edb87494278ad11641b6cf7a3f8996de12b8e14", "7cd097f3866d56114c1778c0d9ac1c4a9a35cff9", "56a818455cc83b6d685ee05ed9c9adeab530caee", "8973910c8acfd296922d9691a533b3c5061ec815", "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "d9bc16dcbc13502389704e4a0bdd8ee7af618069", "765263556ce90c5c0d86d3e6d8a21e04a307b60d", "2fa1629d75a03b950c56bf9b3430b2983abd7881", "c338045f80ab3465bdc381f2b1791744b060fbb3", "639f0d9e9dacc3d6f91aa2b1a9b9152220c24789", "df3c2ac15c71b6cdc07f4268ee83d4fc1984545f", "1ed4791ea3bb9a9503a1cb61b525757e0e4700dc", "bd77b5e4edd665a0f42203760b8fb7933101a448", "9933357ce4ebb5647925ca8ce39ec68984b4e5a6", "037e7e2941239cc35782b8023f421799bc71bddc", "cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d", "f6021093cf962a0ab67f5e8a981036f6659a5230", "34aa3dca30dc5cbf86c92d5035e35d264540a829", "f9edda8351a65d23967132a4f9f5d24ff3bf4f11", "156953cff8836e6d06f85e4ef7fbf2264ef6486a", "99b7ff97ad54308b816e47d9bbf6704b787b8f52", "76adc7fe42af597012a1506bc39b9004d8f61de9", "5b3f94200bbe38e1115e9ad11a5f5707a7904732", "64b22e5af5dc07309c85a742728ff6f476bd71d1", "9328c702d646928690b5725203b79d7dcc217802", "059eaf1206d0f28c19b06972d9946364e0e52546", "325d0969f46a449ec63b9fc4b3870a5415d10b91", "708ccbc563c9da72137800ed86949c4c6e1a0fdd", "205f3d654b7d28d00d15b034a8c5b2a8740bd8b6", "0c0dc5c307483642e15283d0d52a4159483d3df6", "2c4dd7d5ec500f180cc8301d96389a81d3a99c65", "1951f201578b89943a625e16efc1254ed7bbe191", "930a33327a030a5a30e3912feafbba0ef0d57e13", "06b502150115324c8890b6d01184d74dc6b8ca72", "4991dcef497ddd7ea115663985a9e0635494a95d", "7e45b27ec7339dc557866b31e74c71a52e99fd32", "ccf4049dbb61de4e2f8ef918b8f639b148109e65", "bf065e114e50120a6f2718d656ff56823cec639e", "07eaf19eecf4ccdd5f8e3367c1675d9f4addd2df", "74e68366a075b1d61952cbf7d51e23c2cb831279", "f63d5ff1f11a72bb1ea97996f54a60543312f25e", "1337acf12805a24968c0518e695ca94f103e630f", "6434b95401aea9ece22b2b29950118afc163c2db", "f76faa629659ce9b9b8f0062549fa2810fa3a1a3", "d74da7687d4c5d384039d5f551d8cb1a1adb3194", "b76ddd8e9098c4b361ef72ddaef42bf3c85f5825", "b9f65f3ea5aef51e7955e1972aefc1dddb400b59", "d315396cf26613a552a41630a9698b71b6fb5f9a", "53e8781bb152e8e05ffe03737082448ac3378e37", "38eb71578f82477f4b032481bd401f19f14eaf25", "f8a3135aa603d53bbc5c13a7b16984761694475d", "a1e14192035fd64425840d613450d272c43dd39f", "75c9dc4cbf7224b244a5c9046f998543ee8926e7", "4f3484a1b08b332479f0cc0197528e9007292a90", "356965584382b789e17d073edbfc096aed74d05b", "ecb097261781ece1688919fc638517460e18ab4c", "d23d747e9936299b177b0358ff0502a884276aa2", "12138be732a2aa10e4eef460979bec64eb8e4f4c", "e38c93bb8f7ee103eba4b78443d94f55a63bdf08", "75cb21fa931e957941c0237a1030aa36209bae36", "86eab1845deb3614233360b6bc33ce1ff074458e", "0359935f5fe14eb4cb8af9486291f760495de7dd", "e58b63832dd254bc0cbee190db00de50004b46b3", "8e290eb707a39603ef2862ead218a3ebc4e9d687", "966f2106b12d2425185add5666816abf8c834e64", "87e4178f71990818a3c125a41db91749bba17cc2", "4ba1fd0aef931741f9e7d5711f2a652f76771937", "c4f632a1b6faa43c217e63c58a4764511104c303", "f31040b6d7e135753eccd6ca573d784e9ac9c8c6", "527087539d468976684031414d244c75b35fe1b1", "a4cf949a3f6b7b094983acbd6a042766e09e8a2f", "0353903b504d6246edcdc6b2c7d32e59b5c0a863", "c2b1007824fa7ce3a7a94209f0be0902a3454bae", "2049ca79ce94ddfe0cc3d39bf770f580a740f3ac", "31f5eebfebac54cf5817deea7da32994637a5b28", "a9351c53346be32b7d6e0e80a93f2e383fe85eae", "92dbaaabb91d14ec71843970c604303680c26695", "1ecbcdf1ff0b78170b39985a26a7ab034ab73c60", "e6ffa1c305512e0d4efb9a88cfec8294ef476e06", "19ae769aa067b5bd781882cd18551f7abe01bcf1", "2171a1414844b161c9f08f08f76d33926d1db321", "0bf7d4f5d05dacfa539e418a2fcfdce3a9624ed7", "4d48f40d4599dcebd3b31667cc113e140f95607d", "700ae4e8a6e64e08a5d551bf174f31ca20b61e18", "8c618c038c60a385d220193f87b8b0759aab0fd7", "c7b143915a87a55a75c17adb2ab68ae4a4aed3bb", "012cdba79f672e45240791d6c52f213640347b54", "8899b274fdb4ff77de40a15a958ab5ea4b4a6477", "15cd9d3d455cb77948ec498bfa112bef7363c2e4", "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "436e40bfb2b5f8ba771812b7299669e677ecb29b", "0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6", "774b649c75078e10759b3b6c8ea581e68fc45a40", "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "e0c6748799529ee035b21f040187d1e6df232624", "1afdc0b42d25df25a7cd4b304493e9b521c84f0f", "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "080d3d5055e684fe3aa8baf9cc06d6490d3d38cb", "c06b13d0ec3f5c43e2782cd22542588e233733c3", "8e8e23be83ac0900e082bc795337887c48467701", "309a62afbe1ca7ac181452c5b3c50e2f860e7e65", "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "54c28bf64debbdb21c246795182f97d4f7917b74", "5b1d78b160560db5f581e65289ce5e2f99eb9b1f", "5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0", "dda0b381c162695f21b8d1149aab22188b3c2bc0", "5fb23b55de1c613517f55a1b878bc68bd4b543e3", "6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9", "242e19b95f1cf77a74f1a99a899a8dc7d34f7c10", "43edcd7968be3abd25f8ec44ab6d6182b7277afd", "4a303369828d9334022a0f5e8ad2b1a715d1c0c9", "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "36bccfb2ad847096bc76777e544f305813cd8f5b", "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "e42e7735f94a8f498ef0bf790ab43a668f904848", "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "96330777eb14dd6bc31d61b0d7f276083a04e34f", "462e13f050e89fe10180d843838b9a679ee08739", "eb7bee63337d6219bc4391ada57b1bae03717872", "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "94ed6dc44842368b457851b43023c23fd78d5390", "8abe89ab85250fd7a8117da32bc339a71c67dc21", "ec7cd3fff8bdbbe7005bc8d6b7f6b87d72aac2d9", "5957936195c10521dadc9b90ca9b159eb1fc4871", "909c23143162d98ffb2447f0018f92ac6cf8591b", "74156a11c2997517061df5629be78428e1f09cbd", "53e081f5af505374c3b8491e9c4470fe77fe7934", "78598e7005f7c96d64cc47ff47e6f13ae52245b8", "195d331c958f2da3431f37a344559f9bce09c0f7", "c2e03efd8c5217188ab685e73cc2e52c54835d1a", "427cf6528901d7fd5e5acfe4175ef809ed8ee7fa", "bc910ca355277359130da841a589a36446616262", "9c36256275e21cc6103e92414aab35cba1c61a0a", "3d2891950f1b76f783a9ba77b3c55b8e68b95fbe", "768f6a14a7903099729872e0db231ea814eb05e9", "5213549200bccec57232fc3ff788ddf1043af7b3", "4223917177405eaa6bdedca061eb28f7b440ed8e", "9e8637a5419fec97f162153569ec4fc53579c21e", "06262d14323f9e499b7c6e2a3dec76ad9877ba04", "43ed518e466ff13118385f4e5d039ae4d1c000fb", "fa08b52dda21ccf71ebc91bc0c4d206ac0aa3719", "c18d537037caf399c4fabfdec896c376675af58a", "fbe4f8a6af19f63e47801c6f31402f9baae5fecf", "a73405038fdc0d8bf986539ef755a80ebd341e97", "747dc0add50b86f5ba9e3e7315943d520e08f9eb", "d2992e7e98010c83a9ba83d96743bee551dd2d8c", "15bf0e70b069cea62d87d3bf706172c4a6a7779e", "355746e6e1770cfcc2e91479f8134c854a77ff96", "2aa2b312da1554a7f3e48f71f2fce7ade6d5bf40", "9b4b2a575641f3a7f8a5ce28b6a06c36694a9ddf", "a0aa32bb7f406693217fba6dcd4aeb6c4d5a479b", "f11c76efdc9651db329c8c862652820d61933308", "83e093a07efcf795db5e3aa3576531d61557dd0d", "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "0bab5213911c19c40e936b08d2f8fba01e286b85", "3080026f2f0846d520bd5bacb0cb2acea0ffe16b", "13f6ab2f245b4a871720b95045c41a4204626814", "3c88ffb74573c87c994106b3ae164f316182fc2c", "69b18d62330711bfd7f01a45f97aaec71e9ea6a5", "91f0a95b8eb76e8fa24c8267e4a7a17815fc7a11", "6fdf2f4f7ae589af6016305a17d460617d9ef345", "a85e9e11db5665c89b057a124547377d3e1c27ef", "df3d85ecf8e326774cab59aab75b572fcf9767cc", "258b3b1df82186dd76064ef86b28555e91389b73", "716d6c2eb8a0d8089baf2087ce9fcd668cd0d4c0", "710c3aaffef29730ffd909a63798e9185f488327", "18dfc2434a95f149a6cbb583cca69a98c9de9887", "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "a26fd9df58bb76d6c7a3254820143b3da5bd584b", "dd715a98dab34437ad05758b20cc640c2cdc5715", "11aa527c01e61ec3a7a67eef8d7ffe9d9ce63f1d", "b806a31c093b31e98cc5fca7e3ec53f2cc169db9", "0141cb33c822e87e93b0c1bad0a09db49b3ad470", "370b6b83c7512419188f5373a962dd3175a56a9b", "4da735d2ed0deeb0cae4a9d4394449275e316df2", "3d9e44d8f8bc2663192c7ce668ccbbb084e466e4", "6a26893ed63830d00f6d011679d1b1ed2d8466a9", "5a10d74c7fc3294f76d771df413fe0b0b35f2ab5", "2b0ae372a8190b377c27259c43aeea5e55075f50", "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "2160788824c4c29ffe213b2cbeb3f52972d73f37", "6bca057c25b48fa7d1607e5701c46392ec906822", "3f04365f59ee8bced434ef82a04ab0aa0ff43cd6", "ddcb62a2398cbf499e1852ee07956d4fd58e771d", "219f54d3b9e2d674d9866ae80fc6caab2a9a6ed2", "a02c87cb623f5e20cd986ffcf046d63a5add0b85", "85f14bb2ed4b9d680ae4062cbd571752a1ff1dfa", "7c5b4abf25b212b9d57cfc62b75aa45124b7cb11", "3d919e63307610258720cd0d39b37904acd5c77e", "3e91300a76e5c88fa9850067546a6e2fa1c8914d", "7ed6ff077422f156932fde320e6b3bd66f8ffbcb", "2ce38dbb4d4228ae4a7016b0422155a274b88659", "5b9ae36868ad04f8eec4b51c425ea987ef74caaf", "7b8ae23573fb33e6a762e914128c425a7f381fb7", "dced1e101af923fd1a70c09df972f3b81a998a6b", "82ec2ff0bef7db7e5ea48c42336200fb0e44dbf9", "8722ab37a03336f832e4098224cb63cd02cdfe0a", "a30073beb1350032cbbbff79b71c2c3f1322b614", "decc4de8b6964ba473744741c3a46ac37f2d6e3e", "4061f7c60deb3f22e10fab6ae3fccb69e06c34b0", "8f20c3d2389bd6729bdb1cb5831d3ff0d7ac2c65", "2eefaa9c278346b9e0eb51085cff490b0a43688f", "f354b080c3d49c3e48ca3bd730cdd74df7ac5cb7", "4813d9332a1f3ef2bf5846e81005895322310bed", "dc041f307d467918ba684d3c425fb23016f3b28e", "67e7c14ecae22868e8159c52941194cdf6f003a2", "a5c27bf9b27af011b779ea1aff0543ae5334e563", "c5de09398c13f440c03bb4429d320e0e65c63b52", "516c59a82888f9b401db596ff067a0e4f9bf3db3", "534ac5cd8e2503b333efcc94d92e5359b54190b1", "4348c8706b92a9bd90dbbd735f824ec79e96dd71", "202a923504ea81e94c06a81581539b893b461ee5", "d535965ba320a20bb4df7fc671c83795ef48aeaa", "92d6131082286750232fb6546470adf3f8f9c7cf", "b1f177f70086ee19cda2738aaa124d534f09b3a4", "d1eeb413be2a5abe0e20fb57060a57649244409a", "2299d971cb38dd3335fa94cfd5b9ecc2f7901dd9", "2d05fd37ef8f148711819d777757bdcacfaaf175", "35ee8aaa4a2ce4d36a1c608268a430eddcbf5c1a", "2864c8df356b1b915e16bb285bda64bfd7396f74", "e2928b6bf05943782ff19c040804833c95435666", "b8e35566129299c3591af0fd4f127e5e0d0b5774", "a654fdf590a063d15344caccecff76d971635993", "eb724fed2a6457a2ee41a205892004116180bbfd", "07050b9fcf949487e32aa30d0534e46d7eea58b0", "51f9c3017455ca7440f34c01bf23764d3cc07aee", "0670849811a6ba4fbfcbe11126b811dd94e06e66", "4afc85117d687628df7d88836e2346bc4aa77e16", "29f21bf4aa648f0996b41b03fc11b07a0e550f46", "4cf0c6d3da8e20d6f184a4eaa6865d61680982b8", "8fb849fe51fbf4b56393cfef26397caef2a22fb0", "a94563ed497381c349307499e30ccc75054230b8", "623da0faea1f98f238936e34f361518829edfdf4", "bc5be2dacfb9b9a524bbce627268eaba70066236", "83df0ec6071dfda29da831860fdb2a1f19a6b3bc", "45ede580b1e402aae6832256586211a47c53afe3", "2f7a5dfc04b037d1841e1fdd08d1462f34c6a1da", "e4d90019c312ed87a236a11374caeea9cc4e6940", "f7ac8523770b5965aadc27cb5364d77853113be4", "a5f4bb3cda5241cb684daa3d92e611852e06bf8e", "78a7b042dfdc8c062a1ae9b4b93195b434e91aca", "cebfafea92ed51b74a8d27c730efdacd65572c40", "c2b03ad0572786fd37c4a4a908356cbf85d79f75", "4e5e6d405331aa4aafc88e3ab31c7f45720c00b2", "3039381ced50a910234ceca5133a69aceb324faf", "58f7b9ebdb9b380cdfbef12b8abefceee0160a58", "fa72b7140f9fa4fb975344109e597e9566c65f4a", "3633b26502ef1697a59722be794947bc510dd0aa", "8e8c141e06d52cee1917b7268abca315bf3af714", "4af25075729aa4d0fa4ecf6c948f59ec15bf9565", "3dcf02ecdd6bb1d487c554ea987777bd5db08950", "7608953ef5c7a882bd2e7e7053a600e543748233", "bb562d026664e53cada5e78ff99d9b8f223117e9", "50e5dd45a94a56cb973e51dc3347e621266db7e4", "9e9c600919332dcabbd32bbe81a00d1e47449193", "e596a4aedb5cda6f0df35d38549564a0dd5546a7", "351de1f7862bd13a82fcfcaa698b4efd53bc2c35", "4d0e64da142299039841660ea03f24575174afa8", "6ab30c67fa966b6bcee61de6294245e2dd8604d8", "18ced9c7bab4d7fa69ccf2d3c8783317ba94e59f", "06f7e0aee7fc5807ab862432a4e5ade2cda73c4b", "3d855f0665a912ff2c7736cecf9b8eae3effc281", "ed1da141e83ecbf3998fe88f222c3d50136c548e", "a80355dcee5156b064e31b39c6b72037044ed87c", "113ced4a8c5ecb6da1b2eb63c1300cd8df982917", "644602c65a5d8f30e62be027eb7b47f7c335191a", "1958da636ce92d36c0985a6cb00696d90b2475f3", "f73b15d33b9dcf329cf605815be7493b162b1fab", "734be7f538d4cb9fc727794ac86ff2b04aa5d468", "0fc52c1f7a9601067cce260f8dcb7a7e796f4281", "740d4a7322eec687d1e6f0d2b71fe2d804e1ae70", "34994e291f2ddfbb2938599730a5f7a79498dfe1", "da8d102e9e5ed5d79200e019b8d47a256a1f8452", "5b7856b7669a5746b7f14d2ae5452aa2dc89d454", "214c966d1f9c2a4b66f4535d9a0d4078e63a5867", "7ee17d2001c9fcef63e3a56610cacc743861d944", "47de0569259e6a420c3eda69cdebf01bf85a1acd", "f312fce73aabd97bf4fc02fe2829f6959e251b1e", "7033b916a7f2510ca9766b7a8ed15920a9f9e2f3", "fb22404e46dd46b2c2cb9a85227a1ab6a8ae4f52", "533d91cbb5e306c96b71b6f776382f3956e5dc7d", "cc00df59309c13f72fcbd44c88509210c157ce47", "45619a2b7b41fea02345badf880530519d3d4c8f", "f4065d13bcad78b563108075f650c29a2f3f1917", "58f445fa45d4bdafac43893a55b21348f9e1e6c2", "40b2652cf3bdee159dacb6e18c761003c31f4205", "cf009a6b02fbef514a4bac9695a928080ceac764", "a9f3aed7013b1a09b7fd7464b45e3e0835600718", "02039d41e9b61af510bab0b3252396a0e350afa5", "1b3d5d95e1fcded017f193f5cf9772bf8a1ed108", "3493b2232449635aff50fc17e03163cb4b66f1b5", "7c0cf2fa4ed7cfb1cf41c986fdc3b82c53177854", "f39b88ac61264e9a33dcdf47722f0d048a8e490f", "4c8a4f659e827a3189e14f0efd00987dc4c7785f", "382f1ebe6009e580949d5513bc298cb253a1eeda", "cb1e34d7fcb7fae914fcb65cb9cf25199d49cec9", "0babc4af06d210cf38bdf8324c339b6cf3f424fa", "8b162c2a15bc7aa56cdc1be9773611bc21536782", "22a12ec4258f223b43761e5c4729787d1aaa623b", "3027727790598d913a8ff9a1bab4538176ad9fc8", "49d4cb2e1788552a04c7f8fec33fbfabb3882995", "c595863b90b904a7b3197667b62efa16b0fd5ff6", "36d858eb19bba43244b92f7faabfce47b13f2403", "3cf24e5e15deef58cfc9ef43470a7db9a2bb97d2", "9d4ebcd84c4ba2241cca3242e22888558b62a0e0", "cd855c776240150f4dba7a5975c7011a9c6737ac", "5e4a451faf2e47486a5dbeca8a5109b53e22d95a", "75f302f1372136c5e43e523bacc0a2ddf04c3237", "11b45236b2798091ddab35c572a35f447bb8d717", "ee2bb1a7f58b4c3735a52e7692e6293413d72dec", "6555977f0d5f993e0bee7c2ec3d1fc819057da15", "75a54f49fccee29faca8931fa8ba700030dcaa75", "c5ee2621e5a0692677890df9a10963293ab14fc2", "48b9f9ddf17bd29b957b09f9000576e53acf8719", "d6600601e1a1101d991c0bffbd737975db9ca262", "e4444820fb3f6d1f41c6ea51c6b2ab8ceb04a3a5", "0a850a9fc853c358aea1167e1f965cda8980b7fd", "0c6fa98b7b99d807df7c027e8e97751f1bbb9140", "0a267d927cfae039cf0a9c995a59ded563344eb6", "d7ed878c08c90186e3bf607c20ff943834ad0d68", "67296e6cd0084c301339889c4ef1f71a04406b3d", "cc9f473584c1a7f224b42d4a3a3ea2864173cc28", "105fdf31d14ec55fda91c05059ec83162ba7ce3a", "47f84928dd6e40797255fa1e1bbb3c12b2659a7c", "5b600cfabfb3c99085ca949fc432684e7ac86471", "8d7d02bdd3a6dfc01982468ed3eb4e66d99a302f", "12dcb25f10d42ad2b4352ba9fe7a6a32ee2635a6", "323cd51bc18c700fa88044dd24ae663a7eabaa68", "d0a188debff9baca296787dfb207f151cb78300a", "7de028e5c878b56057559bfbd57f1ce6482ec282", "577c1d59e43f04a4bfda95b0b9e3b41d893bc0a2", "cada850299f0aa71ecd9b37a2496802ad8d48455", "193c9406a4d48738afd799b70c3d7174b6618a3c", "fe6cf3776cc88a09b5f3013601c35b9b2b06d2d2", "562449f9e8e7f91521e64b656b4adb472437f757", "2df019ab06988ebce826e0d7eb2f2bac7f1743c8", "d50abaf36212d31c758643c70f487ee272c0b627", "47382cb7f501188a81bb2e10cfd7aed20285f376", "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "307f0da392588b172a68512969d1fb61f85fbc0f", "2ddfe58e6e62dbc96138d434761d0a8127382fb2", "31c52ecc98ebf046df914fd113abcae334e1cf0e", "7280000cba3a3279454890372668362d00cf3ab0", "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "f266c3bb846ef13a8bf0d09a66461e1e77464475", "33919313bb3cf09b00f9fa2253b30af33a52bc51", "89ee022431da849b4991e41c0894d7535008ae99", "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "30c43c0eb26839541861819f420f1ac2dad0711c", "19f8f011516fe6ffa4ed74776a0149c9dbdc5ccf", "230aa8fe68068f2e64876bdf1c41d20b4923288f", "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "fd3131b370a81e25aa962d266b2b32922ea4e613", "da3708836813fece4170585f2f9248a34c6ad183", "453febab65d4047e04b320daf8877bf5a018b6a8", "0c56f414251d6c9f43623ee683dc6cae3be1045a", "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "228408c76823355010bb13e5b3f32823b35a176c", "29be6e76d9ed777ca032c40a6ab374a44bde38bd", "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "72fe1d86581e4672a534852d1e4f4680811db074", "ce3edf04c9f0c9da462832cbf8c5a1982e3e6bf8", "c0de99c5f15898e2d28f9946436fec2b831d4eae", "537f8c50369490cc90303522dd4ab80100fa1e59", "0f8a0c308bb63aaf2741a4817ea0464a85854e4d", "c81b303005459285a5864ea4de71f77025cd5be5", "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "4ee4a540b3a2bbfe263573852d2a5f6231002145", "550c8162757b9fb649efab8529d86daa99700fb1", "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "f3a34525fa7021322f132c80c9517f240cf1e742", "21033d95e673cc4b28d81b15c80ad46cc0bdc22b", "1a39ce3f624844a1288b6deff545f6c4d79c4fae", "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "54378aef6ec3423ad44d61de61b301be9f5c686d", "01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa", "270f029b03ee1bdfeae4ff4c5167b450d185a981", "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "ed3c4d2d28faaccbaef876a7daaecc3cccadb48f", "1d6c13beb860bae7e566b7dfc5c0a449b854a590", "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "95f641ddebc34740b7d44b0b8e8bff0163534891", "cc18b36be217e4640a20d55bd69b790b6d0f9192", "99ae92bae7c873432a6a60238b33d494bbae13eb", "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "81fc46dd71121cfafbb11455745ae62f6eca0b25", "93ece2d76dc69c7340c6e2c499b58c27dc9e3de7", "545388d4a8e79cab605cea9b3e1ff1da0f848f8e", "b137480d2ccf3b53433de208815ce891d95af912", "3dc3f0b64ef80f573e3a5f96e456e52ee980b877", "67da3d4d98b967fa88469374081e7b130afe4d45", "6cb485e40da3c1536a2482ddee103e9054ef5b7d", "ba89ce698b9d890ba942b31f7ae0ed5dac985077", "001e445f473325bf2ba7ee3437bc4e8a80f2429c", "93202ef6a794c1d70b50ef42807977a2986acc6c", "ed87e27aed9faf57e46ec0b93abb049376662db8", "95fc686c3de2636ffcd611e02109fb005275fbba", "2cd5350fb4835c60adf1c329a6f94edbfabb6f2a", "0475380e39a5017f5c61b01a0c58c1ea7a7cf50d", "afd0fdd40b47b8f5dce50162d436b4f942db051c", "a9cf682c7a6c440502fbec82ec2917c295f85ed4", "959b2d6be5979eb5b67549eab9b0ba028188604f", "5e86e17d83c97dafa3413d1d0dae219bd527ed61", "b3e51092fa8b127bef0e46c2e54f24bdaedf30c3", "3bd30e1683cda28d8ae3bee8f23cf73830c68ef4", "38523899d7b7e2887ad701ad32d63af24e034c8c", "97c5d289065f5181ee25e2f09746ce77aa12490f", "c11fe04b0a4a14e11d5465b3376c10c7232eef6a", "2b2d8019a53bf36cdfe204ebeffb559d3aa1fe98", "f9f883a772584b61d43760174b885baf68be7e09", "2d41de9f38923e67dc5aa7ac5ace85ec18302e6a", "03c9e963e0896040c96e32057a7bd97eafc3c595", "645ae07bda299aed8d6d2eb9a256289a122f43d2", "6c5bbaf8d14766b428ec0732328877138560615e", "4da86a8cebe1d4881e73e02a7a21e3dcfb6bba8d", "ec6900a4080c82a9365d3d47273247548c480a82", "55e608981810a243d507c5c11a2656735de6338c", "4cb59b9f8ad668ad5376777861a91797ea2bfb0b", "72f2bd8d083bff95b757a88902ad267c16a82b74", "c427bc26a8d2615015cfdb216443f78fb716fc69", "a6657bd80ea5f862cc28e711b4e2e51d26fbf6ef", "5e9069d6c70ed80c98bffe0d0434c37a52a5724d", "919b80cfd09a9d6aaeb3ab9836ca16934a84dbf1", "a86f388811dcd726239b01b317389743e5896e50", "0eca37ba961f15496b8cc92fce0631400c71b698", "144f482decafd2d4e968de98d9493eb49cd35841", "39c53325acaa712bcd946c10e0e20df2fb2580f6", "c81199b5e7e4e5e53c68401cc1239e5aa589c91c", "0004f72a00096fa410b179ad12aa3a0d10fc853c", "3b468579e0cae73906782201786418094d0ec086", "e3917d6935586b90baae18d938295e5b089b5c62", "b2f188b820db700a4b7b3bffa52627396da2afb1", "36ab76ffce98bae5f4d5de9ebede8391859b075d", "9f3ea233206022922db7741d8fafed6061a12295", "e7be083e34cbe38f5aab305bec5e415685cedfbf", "23e824d1dfc33f3780dd18076284f07bd99f1c43", "2880f343892683a6dbc6f655f1185d44bf4d1629", "4c648fe9b7bfd25236164333beb51ed364a73253", "1e9700ab5cdb35d358379fef53260991d63f621f", "cb1b5e8b35609e470ce519303915236b907b13b6", "0ba5369c5e1e87ea172089d84a5610435c73de00", "0fdfc467c9aaf887d3699b546f98810ba4a781fb", "23fc83c8cfff14a16df7ca497661264fc54ed746", "31ef5419e026ef57ff20de537d82fe3cfa9ee741", "c0b298ed5940cbcca5b5c670378e193580c81503", "c259db2675f3bfb157f37e6c93b03d1d14dab4c7", "a1490ba76d5055c8d07c156aa55aa5e63f51206e", "f43eeb578e0ca48abfd43397bbd15825f94302e4", "e45a556df61e2357a8f422bdf864b7a5ed3b8627", "0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056", "9f5e22fbc22e1b0a61bcd75202d299232e68de5d", "72450d7e5cbe79b05839c30a4f0284af5aa80053", "ab6776f500ed1ab23b7789599f3a6153cdac84f7", "86e370a221277bda32a70d42050ab97f42c1f517", "2c811b647a6aac924920c06e607e9e8d4b8d872d", "c98def5f9d0c6ae519fe0aeebe5378f65b14e496", "54483d8b537e51317a8e6c6caf4949d4440c9368", "51d6a8a61ea9588a795b20353c97efccec73f5db", "b43fc030b92e698ab317f45a12de106e0639c1cd", "03af8cf40283ff30f1da3637b024319d0c79bdf0", "e085b23cd0c72aa6a4432cfae05ca1e58bd29739", "e0939b4518a5ad649ba04194f74f3413c793f28e", "ad624331dc5f8dc3a72b1d5baf69634b2f345656", "7905662634bcec97648fb81d73de66c19a45b63f", "8e29884d4a0a1a53412e115e43f1b1cefe3bbc34", "2654ef92491cebeef0997fd4b599ac903e48d07a", "4d423acc78273b75134e2afd1777ba6d3a398973", "a243f1c24e759e3f22dc0c1b2762bf0a9a2bef13", "d74d1e63beca972b3c9114bc0a82cc815483a1ab", "24830e3979d4ed01b9fd0feebf4a8fd22e0c35fd", "f7be8956639e66e534ed6195d929aed4e0b90cad", "1850597b2db7d0f94f4b3d2be899beddce9bc12b", "f5603ceaebe3caf6a812edef9c4b38def78cbf34", "62415bbd69270e6577136ba7120f4a682251cdbb", "778bff335ae1b77fd7ec67404f71a1446624331b", "1b3b01513f99d13973e631c87ffa43904cd8a821", "dab6620775d4fbcfb17e2f7060fba84913a2bea2", "3ba85313a578e6a094f7e547c8356c7f4766001b", "044fdb693a8d96a61a9b2622dd1737ce8e5ff4fa", "ffec78f270dba4bdaf6bca7aedc16798bb9347ef", "ff7bc7a6d493e01ec8fa2b889bcaf6349101676e", "8a4893d825db22f398b81d6a82ad2560832cd890", "406caefc7f51e8a16833402e4757704d5d84a1f8", "719a5286611c2a89890f713af54f4a00d10967e6", "ac1e8abd3efc78dc76ea096d2e5b941d94857bed", "79aeda6dd4eb648d827b8c75664e01e3f02124be", "367f2668b215e32aff9d5122ce1f1207c20336c8", "2cdd9e445e7259117b995516025fcfc02fa7eebb", "480ab25eba799b59e0a1a51021c5126c88a58a0c", "23d5b2dccd48a17e743d3a5a4d596111a2f16c41", "621f174fd75c38a6376eacf0e4b92b18bc88aad2", "e9b731f00d16a10a31ceea446b2baa38719a31f1", "673a7fdf36bb2ab2beca5678bd29eebf6eba0582", "a285b6edd47f9b8966935878ad4539d270b406d1", "62694828c716af44c300f9ec0c3236e98770d7cf", "398558817e05e8de184cc4c247d4ea51ab9d4d58", "af62621816fbbe7582a7d237ebae1a4d68fcf97d", "4b20b27e2864b97c16e3e06e93cbf9302e109dcd", "7754b708d6258fb8279aa5667ce805e9f925dfd0", "c7e4c7be0d37013de07b6d829a3bf73e1b95ad4e", "969127a099a12bd5bb88809c75cafe0a62f6ca05", "cf875336d5a196ce0981e2e2ae9602580f3f6243", "942229e683ba17c6695857f16e6658d3fc4d1650", "0ca309d186d11eba00b2932b3f37589219090623", "f4c32b8bcf753033835c14a66e9c04b06bf086a3", "e4ad82afc563b783475ed45e9f2cd4c9e2a53e83", "150518824c747ff252ac134d57645879e660230f", "35b6a0d001de8d58d2bcf5dfe8922d59576a87e2", "2661f38aaa0ceb424c70a6258f7695c28b97238a", "1286641b8896ae737e140cfd3da2d081d4cd548e", "6b1b43d58faed7b457b1d4e8c16f5f7e7d819239", "f39d3ed10131f986be5fb8a10b77d44bc9feada8", "c5b5a00cbc3c030c462f8ba0c0b0854e335d5a1a", "3bf579baf0903ee4d4180a29739bf05cbe8f4a74", "b7b732df067a146b6254dfda404b124c1bff43b9", "1dff919e51c262c22630955972968f38ba385d8a", "b961e512242ddad7712855ab00b4d37723376e5d", "1966bddc083886a9b547e1817fe6abc352a00ec3", "0d2583d07283b21ea1034b8b52b8401b6148c59e", "907475a4febf3f1d4089a3e775ea018fbec895fe", "28fe6e785b32afdcd2c366c9240a661091b850cf", "8cedb92694845854f3ad0daf6c9adb6b81c293de", "98774edc7eabb163b9881b33f1c728c77a49011d", "05c974b9fde42f87e28458fb7febf7a05f2dfd18", "d6e3bd948aae43f7654ea1d9e89d88f20d8cf25f", "1b781faee797beff41ef67703dd80bd6da3c8b23", "0adef93017fc226f5c767a6eaebeaf4e2e40a754", "5f27ed82c52339124aa368507d66b71d96862cb7", "b3f78edb167a9d4749029a433f32d463aaf30a64", "364748253891070982668243f0e4a454023afa29", "70bb5c2570673eae86a3f9ced55c7ef00e0be8b5", "6ae13c7dcd1d10d2dfe58546a49da09b0b471d68", "9ac2960f646a46b701963230e6949abd9ac0a9b3", "14ebdf93fb1317ac6f7eb6ed7f243899295c1bc9", "d4dd4600e8f4ecfd11fa4a4a702b1f08bc9ec6f7", "a2d9c9ed29bbc2619d5e03320e48b45c15155195", "dcb50e1f439d1f9b14ae85866f4542e51b830a07", "77223849321d57a03e0571a08e71eba06e38834a", "45f3bf505f1ce9cc600c867b1fb2aa5edd5feed8", "7771b255115341d9339e243df0a48fc53ae38394", "ba17782ca5fc0d932317389c2adf94b5dbd3ebfe", "6dc82921719319deb1a193febb0388b2f32cecb0", "ad8540379884ec03327076b562b63bc47e64a2c7", "0369baf2366fca2f2afdf86efec4874dc8fad194", "0fed10ccccf270ba7ad78cc00f4745b2cda55ee4", "ecdf8e5393eead0b63c5bc4fbe426db5a70574eb", "d280bcbb387b1d548173917ae82cb6944e3ceca6", "7b4c4771030fb0c5a01bbe7b7d08b8fbcd2187a2", "d778c46657a974e6e87df82b7ee2ced8e5c6f151", "2e956e178fd50ab140f30f9255a83d853c8be210", "18cd7649d7413e1950795efa7a1b1388b31605de", "0a2cc533b718fdd95cca25c37a2bf18fcdf1fd42", "a08f09c5923dd2a114da1504379e57e8eb87ced6", "1149c6ac37ae2310fe6be1feb6e7e18336552d95", "930cbd5a6c63f0de7984a9b1db437a35ffacce3b", "94bb43cbd9c1243eb9b731dca2487bed46afbf96", "03fc466fdbc8a2efb6e3046fcc80e7cb7e86dc20", "5875a837a1c1c9ca09ff49cee3a9561bb656fe5e", "346670bbdcb667312264e8da395a37c5c797bd9b", "ba8a99d35aee2c4e5e8a40abfdd37813bfdd0906", "fc00d634797c5378ca9a441c2d4ce88761d3c7eb", "fcf393a90190e376b617cc02e4a473106684d066", "2e6712f789345c2dfc396f5309165f6786cf51ce", "081fb4e97d6bb357506d1b125153111b673cc128", "57f7d8c6ec690bd436e70d7761bc5f46e993be4c", "4b321065f6a45e55cb7f9d7b1055e8ac04713b41", "16703a3aaa7e540a3f6ff16a484bfd6226f83f06", "984f3b12e8c9ac590065ea7f44f8f6c902c7620b", "400e6c777d5894db2f6538c8ebd1124352b1c064", "ac98e7c570eb4a9db23f85164010f94afba1251e", "6ed957ec0dcf84e69fdefaf1027162fa884ada80", "57101b29680208cfedf041d13198299e2d396314", "35ba8534d32d630799554d15469d5107579a7abc", "a3f689fa5d71bdc7e19a959ac5d0f995e8e56493", "b1665e1ddf9253dcaebecb48ac09a7ab4095a83e", "855882a5943fc12fa9c0e8439c482e055b4b46f3", "7ca557fe3f70a933695e785ba86416ee68add051", "89c73b1e7c9b5e126a26ed5b7caccd7cd30ab199", "66317e1fc0ab4bf15c737f1612a075c3ce55b133", "cb160c5c2a0b34aba7b0f39f5dda6aca8135f880", "a6ffe238eaf8632b4a8a6f718c8917e7f3261546", "32925200665a1bbb4fc8131cd192cb34c2d7d9e3", "a702fc36f0644a958c08de169b763b9927c175eb", "2dd5f1d69e0e8a95a10f3f07f2c0c7fa172994b3", "26de4f8366b7eb5794bb5d649956d9badf41af2d", "b472f91390781611d4e197564b0016d9643a5518", "2a6f554a356521199112bae333537de62e13db73", "08fbbfe87563595508a77629e47613d6bd1119eb", "3c78b642289d6a15b0fb8a7010a1fb829beceee2", "32adde2e33f4344900829c557c8533f8f0979f10", "4fee2f524ef12741d2b0fa96f45a5ef9d20ada83", "08831ef69a36e6dac7f544aae19b2ba36abbcda3", "abfba1dc9a9991897acd0e0d3d4ef9d4aef4151c", "5d9f27c51bf10441639324f877e0c0031144289d", "a88ced67f4ed7940c76b666e1c9c0f08b59f9cf8", "28c9198d30447ffe9c96176805c1cd81615d98c8", "f08cb47cd91a83ea849f2dfe2682529f3bb95aa9", "18409c220a0f330c24f0e095653a787813c3c85a", "427d6fca32bbe3633f9ba58d1f8c3f2a303f02ac", "d3dea0cd65ab3da14cb7b3bd0ec59531d98508aa", "454283ee7ea757dd25780807e4017cf43b4fc593", "33403e9b4bbd913ae9adafc6751b52debbd45b0e", "11a6593e6e35f95ebeb5233897d1d8bcad6f9c87", "05a116cb6e220f96837e4418de4aa8e39839c996", "744db9bd550bf5e109d44c2edabffec28c867b91", "8c3f7bd8ae50337dd812b370ce4c4ea9375a9f58", "2f184c6e2c31d23ef083c881de36b9b9b6997ce9", "29e55071b0f35b424535cf96e337fdc53915885d", "4d8de4dad40faa835e8a01e3aa465e1bb3a996f4", "d1dd80d77655876fb45b9420fe72444c303b219e", "d19727942376c273b913a800ad09ffe672d7d6d0", "0f70f1a103e780ef80bc9610eb6cdd5fdcf7c005", "8d2701b03e53500525222dd0128658ce1bf8b35d", "4d9a02d080636e9666c4d1cc438b9893391ec6c7", "36fe39ed69a5c7ff9650fd5f4fe950b5880760b0", "52c71d20dced998a607c466241dfc2eb88183de8", "d912b8d88d63a2f0cb5d58164e7414bfa6b41dfa", "e90f75406d69cbdecc2237b4eab80dd590619e34", "3b350afd8b82487aa97097170c269a25daa0c82d", "322b7120bc46b4d6221d318961932a6cd81d4a08", "561eaebe69b5d2955b05557db01cda14b5f148cd", "f0d7c205b2726ff30d7139498aaab3ca205f0e64", "db3f52ffc7f09b415dd148cd1c6de9a811d1c5d4", "1042c225aee0c6625b8d49cec12083d7f1fc8253", "3aa9c8c65ce63eb41580ba27d47babb1100df8a3", "289c6413c9b1d37c0608ee0027d28466ef3a552f", "4ca1fcfd7650eeb0ac8d51cff31b70717cdddfdd", "abc30185578990ea134e4d66866e225bd7dd7632", "98218fa05a171a641435c154afa17bc99cf3375e", "4d90bab42806d082e3d8729067122a35bbc15e8d", "9436170c648c40b6f4cc3751fca3674aa82ffe9a", "acc548285f362e6b08c2b876b628efceceeb813e", "6e8d9202480e3c52ca5a207a9ab7841deb8d101c", "a7d23c699a5ae4ad9b8a5cbb8c38e5c3b5f5fb51", "126076774da192d4d3f4efcd1accc719ee5f9683", "a5c04f2ad6a1f7c50b6aa5b1b71c36af76af06be", "c0ee89dc2dad76147780f96294de9e421348c1f4", "9444355bae76a6a97014cde14e5beda3d432658c", "e860db656f39d738050b5f3e0bf72724e6a4ad5c", "f6eaf3e709ea0437b8abca2405783624f52580dc", "08c17e2191d0fb20fcefda35ea45825ac94740f8", "c030fdd6998bbe0c781b91e2fb0e3d4932b7aa04", "c2070f3e1249274fd73a0296e227c47d55925247", "a6ab23f67d85da26592055c0eac4c34f05c26519", "ed04e161c953d345bcf5b910991d7566f7c486f7", "3be38ac1690294f9fe828a32e5e6234aa293cb43", "d1775eb9d8898a9f66c28bb92b648c3174caec18", "3c4106f2c670362f620b33ad7715ab6fd3eb2458", "78f244dc2a171944836a89874b8f60e9fe80865d", "a2765ae25a20c267ceb75ffdf06df92d287cf795", "739490f3ac27193c289bbca4810e16795ea05df2", "5f2c210644c1e567435d78522258e0ae036deedb", "b1ed708d090dd155ffa9ac9699a876292f31aaff", "9a7fcd09afd8c3ae227e621795168c94ffbac71d", "9c4521dd25628b517dac3656410242b83b91e1e0", "39150acac6ce7fba56d54248f9c0badbfaeef0ea", "72a2b363d10a5e148fa0113b3bb810a8546d064e", "1513949773e3a47e11ab87d9a429864716aba42d", "8ff1f263d91f192269f6f3b324bdb1d30761ae41", "2c7185bcf31a4950b014b67ca7c63735ee00d56f", "7eb8476024413269bfb2abd54e88d3e131d0aa0e", "d0b7d3f9a59034d44e7cd1b434cfd27136a7c029", "d950a5293f68cab6602510261e858643fd7f1966", "82bef8481207de9970c4dc8b1d0e17dced706352", "6a6406906470be10f6d6d94a32741ba370a1db68", "94a0d7c4fa6d91497b73a6c7974f602712c50e39", "222a557e93d27c87f32e8fc475fc3370aaa4bcef", "2a75f34663a60ab1b04a0049ed1d14335129e908", "6d4236a7a693555f701c0d149d1db89325035e23", "fac0151ed0494caf10c7d778059f176ba374e29c", "dd0a334b767e0065c730873a95312a89ef7d1c03", "36b23007420b98f368d092bab196a8f3cbcf6f93", "217de75995dd38953eb9d85c8e5e21e5530a1127", "15cf1f17aeba62cd834116b770f173b0aa614bf4", "80a5afeb6968c7e736adc48bd4d5ec5b45b13f71", "3de5dc06f5d089dee111e048c7174a834f1363c1", "03b98b4a2c0b7cc7dae7724b5fe623a43eaf877b", "4572fd17feb5d098e8044fe085e963036fea2a6d", "be07f2950771d318a78d2b64de340394f7d6b717", "0b85b50b6ff03a7886c702ceabad9ab8c8748fdc", "067c63ce89671437930cca4e776ad03f3248b48e", "491cf4d86ed895000a35ba96f46261984c0bdf7c", "4d8ce7669d0346f63b20393ffaa438493e7adfec", "036c41d67b49e5b0a578a401eb31e5f46b3624e0", "9be8994e29f00559437a2e031fbc224c4ca943c1", "b723e431ae14e349a8ae8f0b709db35e4d7bd41d", "dbfe62c02b544b48354fac741d90eb4edf815db5", "fb5280b80edcf088f9dd1da769463d48e7b08390", "f9ccfe000092121a2016639732cdb368378256d5", "87781173db55039016fe8f5eca40b5c2739c6051", "df90850f1c153bfab691b985bfe536a5544e438b", "3e03d19b950edadc74ca047dec86227282eccf71", "c65e4ffa2c07a37b0bb7781ca4ec2ed7542f18e3", "e6865b000cf4d4e84c3fe895b7ddfc65a9c4aaec", "66aad5b42b7dda077a492e5b2c7837a2a808c2fa", "a0fc97dfed926b2839d66c9082f95be918c924ec", "7076bc6eeb8be3721acf46e299dfd9611698abe6", "33bbf01413910bca26ed287112d32fe88c1cc0df", "28ee6d316f646e7067eb8d2f364119a6218699df", "f9784db8ff805439f0a6b6e15aeaf892dba47ca0", "374c7a2898180723f3f3980cbcb31c8e8eb5d7af", "f0ffb44b41822c69baf880f7ad52ac1fb5f452b8", "c42a8969cd76e9f54d43f7f4dd8f9b08da566c5f", "59d45281707b85a33d6f50c6ac6b148eedd71a25", "d6fb606e538763282e3942a5fb45c696ba38aee6", "84b4eb66ad75a74f77299f1ecb6aa6305362e8cd", "e2d9ff9eb843e9b49ca50e6d55ccef6a74a03bbb", "4fbc0189252ed4fe8f9cffd3ea0ebbb0c621e3ef", "ddf55fc9cf57dabf4eccbf9daab52108df5b69aa", "15bec5377c7046eb376d1c37daabb84a296fea6f", "dbd37195ac03ec0d4e2d9fcc7b24751ab34fc5df", "81b2a541d6c42679e946a5281b4b9dc603bc171c", "5ea9063b44b56d9c1942b8484572790dff82731e", "d4353952a408e1eae8c27a45cc358976d38dde00", "90e89d2251ea2de123c29912b07bb89efb9dd677", "1b589016fbabe607a1fb7ce0c265442be9caf3a9", "33431901b04ba63fa2635df68afabd7f155c89c9", "0f46cb390b98487b492962d7a270990a9918e9ee", "f0a9d69028edd1a39147848ad1116ca308d7491e", "d157616ccd80bfb4cddee9b0319a22a1f3884106", "976c9f88c23e892c75c452b450407841e5161a32", "151481703aa8352dc78e2577f0601782b8c41b34", "8fc5861ccd2409dd58a97240c424c3248d5fd331", "a4e75766ef93b43608c463c233b8646439ce2415", "2d87f4bf0606ce9939033b8f1fbc64b539eb18a6", "679b7fa9e74b2aa7892eaea580def6ed4332a228", "9e8dd40aea9204ad670b312a46ba807bfc0c61ce", "2e7e1ee7e3ee1445939480efd615e8828b9838f8", "61a7aae4f90ce5214fe899647e58e803b70ba5eb", "0c1b52d2272e322e9de7e331ee28ccfcf5699a86", "842d82081f4b27ca2d4bc05c6c7e389378f0c7b8", "7212e033b37efa9c96ee51cb810c303249ab21e4", "f16e42cdb0cfc03a8e73a19ba27e7541cb66bd68", "0b3bbb0b4698338addfa336bc93b80089089618b", "cf86616b5a35d5ee777585196736dfafbb9853b5", "78216cd51e6e1cc014b83e27e7e78631ad44b899", "82cb184e908fd74be15f2aaae8d5a5fa6f3ce2a2", "ba2ca5d38a421278736c4a9962854176b51b2711", "6bc288ffd20ab625bf5411ed2b1153b686716e9c", "5a4881bfcb4ae49229f39320197c2d01b2fbf1f5", "10b06d05b8b3a2c925b951a6d1d5919f536ffed4", "50c0de2cccf7084a81debad5fdb34a9139496da0", "88bef50410cea3c749c61ed68808fcff84840c37", "05dedee0bcf1f0e73876537c7b1ee27ad769f695", "64b83983e256c7c094462887ce51114b80da92b9", "70c25293e33f5c37143ae20e3b0198a68083a5ed", "7fb1904d79991f8ee00f71c97c088cc1284e6829", "e4bc529ced68fae154e125c72af5381b1185f34e", "0d1d9a603b08649264f6e3b6d5a66bf1e1ac39d2", "2b7f0a45fd6386f4988ba1d41cb92777deab441b", "7f36dd9ead29649ed389306790faf3b390dc0aa2", "8656f48aa77f25462b3ad2edf2b1aa965b2b7b38", "e14b046a564604508ea8e3369e7e9f612e148511", "c068263bb09968fe69c053906279b16532b778f4", "d56fe69cbfd08525f20679ffc50707b738b88031", "021469757d626a39639e260492eea7d3e8563820", "60821d447e5b8a96dd9294a0514911e1141ff620", "2f882ceaaf110046e63123b495212d7d4e99f33d", "fc8b04762e4c0acace1599f0bf0e73f530f0db43", "8fc36452a49cb0fd43d986da56f84b375a05b4c1", "24b37016fee57057cf403fe2fc3dda78476a8262", "59690814e916d1c0e7aa9190678ba847cbd0046f", "8eb9aa6349db3dd1b724266fcd5fc39a83da022a", "d6db7ffeb8aef83926335eefa085f7151b2211ad", "0b9d3a0c61ee498f8ed54aaa22d3c4e72aa56f40", "f83dd9ff002a40228bbe3427419b272ab9d5c9e4", "4f9e00aaf2736b79e415f5e7c8dfebda3043a97d", "f790112a069eb20f0b8c7bbea13d760edf32c7b2", "9f4f890f74ac91bdc4323e061502331945474b90", "40232c43228bddaed394e7b1a05490c7811bf06e", "396a19e29853f31736ca171a3f40c506ef418a9f", "91285e53b5d82aa9ada3f3d30b550c48e257737a", "d59f18fcb07648381aa5232842eabba1db52383e", "88b8e02c4f6b9ccfd1e86fd6bb5e78ef036fb4bf", "d604af9dbaf6d8e5e94dc65bda076fdb609c692b", "a6035473e288015e8c67062fd6a27ae6c7f1e611", "748e72af01ba4ee742df65e9c030cacec88ce506", "fe9c460d5ca625402aa4d6dd308d15a40e1010fa", "102b968d836177f9c436141e382915a4f8549276", "d89a754d7c59e025d2bfcdb872d2d061e2e371ba", "f8ddb2cac276812c25021b5b79bf720e97063b1e", "177cc20dd3317d51ebd2a38d481717502283a328", "2ec7d6a04c8c72cc194d7eab7456f73dfa501c8c", "d23a437e77469b05db870d7fade54d62de2cf641", "16286fb0f14f6a7a1acc10fcd28b3ac43f12f3eb", "d7b4d741b1dd4fb3f278efa5fdf2a5d8523caa0e", "f68f20868a6c46c2150ca70f412dc4b53e6a03c2", "f6cf2108ec9d0f59124454d88045173aa328bd2e", "9937c27bf82b866451610e6082df3f4db8643325", "33e20449aa40488c6d4b430a48edf5c4b43afdab", "3167f415a861f19747ab5e749e78000179d685bc", "d1142624f0f020c4ff33f55a09b26b9f1bec46dd", "86ab9a7961ba82f5c55d73bfa9314eeae85f0938", "d27abdfbf85acbd0c1cff6c80879b014d701ea3d", "51410d6bd9a41eacb105f15dbdaee520e050d646", "8c605bb9f703c01c87bae7849594b4a8ad17bbcd", "abb196b8ad23157eafdac02c52bb7c480362aa69", "7588388b3f68c1a1a6b3b336d8387fee5c57c985", "69604286cd804ebe72b369e6133256711d3880f3", "93108f1548e8766621565bdb780455023349d2b2", "a70e36daf934092f40a338d61e0fe27be633f577", "de5bf6e703e07adffa5c075c42f4596311f3803d", "f2abeb1a8dd32afb9a78856db38e115046afeb34", "8cb3f421b55c78e56c8a1c1d96f23335ebd4a5bf", "cfa92e17809e8d20ebc73b4e531a1b106d02b38c", "f98c536ce32bccc290c0acc3159e4fc4db96805d", "1cbd3f96524ca2258fd2d5c504c7ea8da7fb1d16", "7ea7c073d13e80ec5015f41f1d57f0674502cc5e", "28a900a07c7cbce6b6297e4030be3229e094a950", "3c11a1f2bd4b9ce70f699fb6ad6398171a8ad3bd", "77b4fad7e1e16b8628289a1fe5c09c55bf83d85b", "5bfad0355cdb62b22970777d140ea388a7057d4c", "9bbcb6e7ec64525ea3352f867d7d0ec86a4b2859", "805a0f4b99f162ac4db0ef6e0456138c8d498c3a", "6f0caff7c6de636486ff4ae913953f2a6078a0ab", "2d3c17ced03e4b6c4b014490fe3d40c62d02e914", "179e566a2c1a2a48aa3d0028209c11ebe7d6740e", "920a92900fbff22fdaaef4b128ca3ca8e8d54c3e", "6af75a8572965207c2b227ad35d5c61a5bd69f45", "b013cce42dd769db754a57351d49b7410b8e82ad", "fc7f140fcedfe54dd63769268a36ff3f175662b5", "e75f449af85dc055229437768c9992bf5488cfaa", "b848777c36d6d8fa7067d36796937b33822c10eb", "383a041a97d5e0cc3058a017556ec0ca11ced1c1", "75d2ecbbcc934563dff6b39821605dc6f2d5ffcc", "924dad2fb143fd803faaa64f4bb1d6678ef0dee5", "b689d344502419f656d482bd186a5ee6b0140891", "629a973ca5f3c7d2f4a9befab97d0044dfd3167a", "539bbf8e4916481bd089d5641175085edf4cf049", "133f42368e63928dc860cce7618f30ee186d328c", "fa7395da8669f4096acdd35adfa7e2020d21945c", "be2728dba08786bae92708e1c4172850642cf62a", "7003d903d5e88351d649b90d378f3fc5f211282b", "07fb88c75e2a162475960378e7ab3ea274f1d9d4", "243846792841cd290bf438772c38f1609a297fc0", "97f665219a42faa8e625625257cc35f5dcbaf0ba", "b21702f00e25ef1e05fb5c36ace1eabfd7f86126", "7b9b3794f79f87ca8a048d86954e0a72a5f97758", "0d4740b19fb6148bc22b7c07a5c750debc242dd5", "5d9971c6a9d5c56463ea186850b16f8969a58e67", "3dabf7d853769cfc4986aec443cc8b6699136ed0", "b082c8b8bc7f8dd4b3f0dfb6576b31d53ea5520c", "97d0131943db64f53af042ba2e97d71edfb7244d", "8127b7654d6e5c46caaf2404270b74c6b0967e19", "9b43897c551b134852bda113355f340e605ad4e7", "ebc3d7f50231cdb18a8107433ae9adc7bd94b97a", "c4a2cd5ec81cdfd894c9a20d4ffb8cda637aab1f", "47d3b923730746bfaabaab29a35634c5f72c3f04", "0559fb9f5e8627fecc026c8ee6f7ad30e54ee929", "d647099e571f9af3a1762f895fd8c99760a3916e", "0323b618d3a4c24bdda4f42361e19a2a7d497da5", "149a5fdaaea603445cfd81ada8b5dd6232176c40", "8eb40d0a0a1339469a05711f532839e8ffd8126c", "09686fd5eb5ec6f47d5ec24276c78d23607ec01e", "492afe8f07de6225f70b72c922df83effd909334", "36ce0b68a01b4c96af6ad8c26e55e5a30446f360", "556b9aaf1bc15c928718bc46322d70c691111158", "adef4b0beae64fad7f0b48449ea84b80e38bdc33", "ee6f9a0f6eb5b615a36acc1444f4df1359cc2a63", "4acd683b5f91589002e6f50885df51f48bc985f4", "3e04feb0b6392f94554f6d18e24fadba1a28b65f", "be07c598875bfc14075ab07059fb496932607871", "7dcd3f58aa75f7ae96fdac9b1c2332a4f0b2dbd3", "fe451b5d82e10d0b7afb0ec92e6182a202240880", "b803cdb3377fa3b6194932607f51f2d1fafbf964", "d394bd9fbaad1f421df8a49347d4b3fca307db83", "bfe6b6cd802c07a4c7cdd2e8cc39b0b3886eebc6", "949699d0b865ef35b36f11564f9a4396f5c9cddb", "eb9312458f84a366e98bd0a2265747aaed40b1a6", "8b547b87fd95c8ff6a74f89a2b072b60ec0a3351", "5b01c4eef1e83f98751bb3ef1e4fca34abb8f530", "35c973dba6e1225196566200cfafa150dd231fa8", "0ac664519b2b8abfb8966dafe60d093037275573", "a79704c1ce7bf10c8753a8f51437ccbc61947d03", "2dced31a14401d465cd115902bf8f508d79de076", "773ac659f26cbca3fb7e821e4fb483ddeaaae49c", "9da63f089b8ee23120bfa8b4d9d9c8f605f421fc", "4b4175593b759891c34f6a808628a652856e4436", "49820ae612b3c0590a8a78a725f4f378cb605cd1", "75879ab7a77318bbe506cb9df309d99205862f6c", "8069c33c3bf7ec8531d66e530eb6bb003b7dc184", "2eb9f1dbea71bdc57821dedbb587ff04f3a25f07", "6a657995b02bc9dee130701138ea45183c18f4ae", "715b69575dadd7804b4f8ccb419a3ad8b7b7ca89", "68249064f7d5046abef785ada541244fa67b4346", "4c8581246ed4d90c942a23ed7c0e007221fa684d", "9a1a9dd3c471bba17e5ce80a53e52fcaaad4373e", "b44ca5bb74b27d196f281b6741c645f425ff65c1", "29cb1e90d1e08f0990925c8d4e8d00fa5fa49100", "8ef465ff12ee1d2be2a99d1c628117a4ce890a6b", "70d8bda4aafb0272ac4b93cd43e2448446b8e94d", "7d98dcd15e28bcc57c9c59b7401fa4a5fdaa632b", "d41c11ebcb06c82b7055e2964914b9af417abfb2", "9994c4fbf918950392e73e1695e6c3c15cda5887", "512b4c8f0f3fb23445c0c2dab768bcd848fa8392", "8812aef6bdac056b00525f0642702ecf8d57790b", "201802c83b4f161de764bb1480735e0b090b5c3b", "09a36682a6a4bba83eb84ddb8258e98f2917937f", "490a217a4e9a30563f3a4442a7d04f0ea34442c8", "235a347cb96ef22bf35b4cf37e2b4ee5cde9df77", "910524c0d0fe062bf806bb545627bf2c9a236a03", "738a985fba44f9f5acd516e07d0d9578f2ffaa4e", "c997744db532767ee757197491d8ac28d10f1c0f", "1d6d6399fd98472012edb211981d5eb8370a07b0", "25c19d8c85462b3b0926820ee5a92fc55b81c35a", "e0b71d3c7d551684bd334af5b3671df7053a529d", "c91103e6612fa7e664ccbc3ed1b0b5deac865b02", "1061140c5177193585900e3a8a271366c0e48a43", "205e4d6e0de81c7dd6c83b737ffdd4519f4f7ffa", "564035f1b8f06e9bb061255f40e3139fa57ea879", "10b94b4975e9aad1258419bf4a09a58ef217f85e", "dcea75410fefbe70a4736fabbf178a951b6743ed", "0b0e679e6d3abe3adc8525d4fee49b388ccfdf9a", "78f57e5e23ca40af858e6e97ebecb694036bd8a8", "29756b6b16d7b06ea211f21cdaeacad94533e8b4", "0f53ab8b6c428127753281dd77cf94bdb889b624", "9f428db0d3cf26b9b929dd333a0445bcc7514cdf", "78f79c83b50ff94d3e922bed392737b47f93aa06", "553a605243b77a76c1ed4c1ad4f9a43ff45e391b", "afdc303b3325fbc1baa9f18a66bcad59d5aa675b", "d85813b58e10a35703df3a8acf41aafe4b6e1dd2", "75fcbb01bc7e53e9de89cb1857a527f97ea532ce", "5550a6df1b118a80c00a2459bae216a7e8e3966c", "b28edf561cdad666eac3d6e6ff9ae5eefc6928b0", "c8fb8872203ee694d95da47a1f9929ac27186d87", "b63b6ed78b39166d87d4c56f8890873aa65976a2", "43f6953804964037ff91a4f45d5b5d2f8edfe4d5", "c514655da8def243a0e5c0ebffd30f58d50f31a7", "033b88f1274adddb9ded4cd23f79d447881c22e6", "d428aa4c1c84da422f8c99eb0147a49439d16f0d", "237a8db67c7cbf7a33a5d6b442ac89f2608e4346", "941166547968081463398c9eb041f00eb04304f7", "a295c426992b6eaf922e4112cdaca0cbad1b6380", "aa8341cb5d8f0b95f619d9949131ed5c896d6470", "d5afd7b76f1391321a1340a19ba63eec9e0f9833", "531fd9be964d18ba7970bd1ca6c3b9dc91b8d2ab", "23860d947cf221b6ddb6d6cf3a7ac4b08c7cb8d3", "6960bfc668aad1b537fbf3f1b48328e7d440b80b", "8a72d4eac105b0839de3c6392aafe4adf2a433d0", "9d1cebed7672210f9c411c5ba422a931980da833", "3f6033a72602c3b7495a0e4d5596d1a61e469a84", "f3cf10c84c4665a0b28734f5233d423a65ef1f23", "5ddfd3d372f7679518db8fd763d5f8bc5899ed67", "2d30ca615697462480d9c9f03c6bf50a6c5163be", "6506f9a8a2e73eeaea185273df909feccb68f944", "5e53f530871b5167be0f224993be8a38e85796e8", "cefd9936e91885ba7af9364d50470f6cb54315a4", "ca90a57f9c28804901233679bc076ce327da92b5", "0f395a49ff6cbc7e796656040dbf446a40e300aa", "6eb1e006b7758b636a569ca9e15aafd038d2c1b1", "389334e9a0d84bc54bcd5b94b4ce4c5d9d6a2f26", "8f3e120b030e6c1d035cb7bd9c22f6cc75782025", "841c226a543d810561ca2d3193c44dadc154f45b", "002d2db05595872caf1fce4c3c2f4e168e6d8e61", "f9c86f8b0d312ceec871c8a3b6bc79bbe76c1069", "3c113a1e8b61431c4a73f72462329eddf9449a48", "a6ebe013b639f0f79def4c219f585b8a012be04f", "ce30ddb5ceaddc0e7d308880a45c135287573d0e", "95b9df34bcf4ae04beea55c11cf0cc4095aa38dc", "d074b33afd95074d90360095b6ecd8bc4e5bb6a2", "9b164cef4b4ad93e89f7c1aada81ae7af802f3a4", "7b4e0a98dcb4ba34afcc5901f51384ba727473a0", "f702f1294c0cd74b31db39c698281744d3137eb4", "afd88f046750eaa9a338edaadb644862a89179de", "98d1b5515b079492c8e7f0f9688df7d42d96da8e", "31e13e569730e9c2faa2eb775144d6c4c82db6f2", "247a6b0e97b9447850780fe8dbc4f94252251133", "c83d142a47babe84e8c4addafa9e2bb9e9b757a5", "c5be0feacec2860982fbbb4404cf98c654142489", "2b1129efcbafa61da1d660de3b5c84b646540311", "8f92cccacf2c84f5d69db3597a7c2670d93be781", "193ec7bb21321fcf43bbe42233aed06dbdecbc5c", "19fb5e5207b4a964e5ab50d421e2549ce472baa8", "946b4d840b026d91608758d04f2763e9b981234e", "8c325003be986e426c76516f4d634bf2568442f2", "4ae59d2a28abd76e6d9fb53c9e7ece833dce7733", "01c8d7a3460422412fba04e7ee14c4f6cdff9ad7", "f0681fc08f4d7198dcde803d69ca62f09f3db6c5", "baa0fe4d0ac0c7b664d4c4dd00b318b6d4e09143", "aaeb8b634bb96a372b972f63ec1dc4db62e7b62a", "ebe16b3a0450f639ed0c3aa9b786169eb81445ff", "00c05adcd5157edba775782464402c2bfb998c82", "5db4fe0ce9e9227042144758cf6c4c2de2042435", "1dbbec4ad8429788e16e9f3a79a80549a0d7ac7b", "ca291471eb86ceccbfbda9aeb92eba8b48cb6c0f", "7ac95977b80f78c983a09bbfd7267f9655580159", "5da3bb198b087c15509f933215b141de9e8f43ed", "4fd847d662d0bf015a770e8c419c1058dd1eb524", "045275adac94cced8a898a815293700401e9955f", "39dc2ce4cce737e78010642048b6ed1b71e8ac2f", "6bb0425baac448297fbd29a00e9c9b9926ce8870", "7636f94ddce79f3dea375c56fbdaaa0f4d9854aa", "14d7bce17265738f10f48987bb7bffb3eafc676e", "8fc94e970a261ab3e599ed34a337cf4bd21ee806", "6f0d3610c4ee7b67e9d435d48bc98167761251e8", "449b1b91029e84dab14b80852e35387a9275870e", "1b9976fea3c1cf13f0a102a884f027d9d80a14b3", "6688b2b1c1162bc00047075005ec5c7fca7219fd", "90c7f6ae4f1744050c24f1b662c92ee2b4347b18", "74dbe6e0486e417a108923295c80551b6d759dbe", "6a806978ca5cd593d0ccd8b3711b6ef2a163d810", "228ea968b08b439cadcf5643ee4728af974e4f01", "d78373de773c2271a10b89466fe1858c3cab677f", "07412121674e8b393b7e2c9b4920ee4b12906c70", "d567f2bbc6ce6d6acf0114e6514f31eff4da68f6", "d26fdcc354a8a9bfa3d5be702b2d50b5c0531d0e", "4d0bcc55c46773e24330b68c2fd4eeec5491ed13", "cacd51221c592012bf2d9e4894178c1c1fa307ca", "f858c5d0052d19fe780affccb1f38b1e826ed091", "1e2770ce52d581d9a39642b40bfa827e3abf7ea2", "88850b73449973a34fefe491f8836293fc208580", "1facefc5257116825d39588c9a89c4f19bb4e50f", "097104fc731a15fad07479f4f2c4be2e071054a2", "72a5e181ee8f71b0b153369963ff9bfec1c6b5b0", "6409b8879c7e61acf3ca17bcc62f49edca627d4c", "dd600e7d6e4443ebe87ab864d62e2f4316431293", "c52a8645c3dd08eeab89c4578db4dccc4a9e1ec5", "3674f3597bbca3ce05e4423611d871d09882043b", "dce3dff9216d63c4a77a2fcb0ec1adf6d2489394", "86cfd552d4928544773e249785486c576ef6d493", "47e3029a3d4cf0a9b0e96252c3dc1f646e750b14", "38215c283ce4bf2c8edd597ab21410f99dc9b094", "49358915ae259271238c7690694e6a887b16f7ed", "a2b54f4d73bdb80854aa78f0c5aca3d8b56b571d", "bf22861eed144603be302dfebde43cbc39012132", "5d185d82832acd430981ffed3de055db34e3c653", "2912c3ea67678a1052d7d5cbe734a6ad90fc360e", "62f3525cca0a08ef4727b60a366104baadc4db26", "08f4832507259ded9700de81f5fd462caf0d5be8", "4026dc62475d2ff2876557fc2b0445be898cd380", "25f7f03acf62b2cf3672bb506c8827d00b048608", "8efd1cfd0e93970b9e7920f754d319e98a54955a", "bb22104d2128e323051fb58a6fe1b3d24a9e9a46", "95f52d5c2b571e585e0c75bce0111a3f68e5f3fd", "a3f4845ee80ac5553ab7cf6c8550be6433364dc2", "41c56c69b20b3f0b6c8a625009fc0a4d317e047a", "b69bcb5f73999ea12ff4ac1ac853b72cd5096b2d", "73b90573d272887a6d835ace89bfaf717747c59b", "cbe859d151466315a050a6925d54a8d3dbad591f", "326613b5528b7806d6a06f43211800b54f34965e", "6be461dd5869d00fc09975a8f8e31eb5f86be402", "f405e3d09bec57b74147fde20dc2d252bd9e91d3", "3af1a375c7c1decbcf5c3a29774e165cafce390c", "bccb35704cdd3f2765b1a3f0296d1bff3be019c1", "a949b8700ca6ba96ee40f75dfee1410c5bbdb3db", "82e1692467969940a6d6ac40eae606b8b4981f7e", "177007b368196133e374d52d44a24544bf066f23", "993934822a42e70dd35fb366693d847164ca15ff", "e73b1137099368dd7909d203b80c3d5164885e44", "9467048bd79722b4367fb91585694dee157d8af6", "65d7f95fcbabcc3cdafc0ad38e81d1f473bb6220", "59efb1ac77c59abc8613830787d767100387c680", "57bf9888f0dfcc41c5ed5d4b1c2787afab72145a", "41b997f6cec7a6a773cd09f174cb6d2f036b36cd", "0b173146a29d74f031ea5ad0d0f3a9efb2daedf3", "a1682c1eb2f317336798c4a1282c55eb2b8a8ff7", "4353d0dcaf450743e9eddd2aeedee4d01a1be78b", "086131159999d79adf6b31c1e604b18809e70ba8", "399a2c23bd2592ebe20aa35a8ea37d07c14199da", "c0c0b8558b17aa20debc4611275a4c69edd1e2a7", "88c577859d59b818cfafbd1b9ed64683cca95981", "34d484b47af705e303fc6987413dc0180f5f04a9", "0daf696253a1b42d2c9d23f1008b32c65a9e4c1e", "a9727ad37ddd44355b049084cb2a049367208c1d", "680d5038da3b7528fb14032915324ab4a665337c", "071099a4c3eed464388c8d1bff7b0538c7322422", "239193cb0c2d8a49179708f0bb4546a2ab662383", "0be015e2f9a1d2acebc3afb6e0f6948dd2f9d23d", "1a8d40bcfb087591cc221086440d9891749d47b8", "8c9c8111e18f8798a612e7386e88536dfe26455e", "d11678f5e923165d55c6434a445ab39dfbe65f5e", "39f7878f447df7703f2c4ddeeffd7eb0e21f6cd4", "66ebb070ea8de63afa11cc856fe2754ea39a93ff", "40dab43abef32deaf875c2652133ea1e2c089223", "8d2c43759e221f39ab1b4bf70d6891ffd19fb8da", "176a507ebbfdc0fad141da14d30d89caa35bfaf9", "4bd088ba3f42aa1e43ae33b1988264465a643a1f", "2e1b1969ded4d63b69a5ec854350c0f74dc4de36", "19e7bdf8310f9038e1a9cf412b8dd2c77ff64c54", "898a66979c7e8b53a10fd58ac51fbfdb6e6e6e7c", "86b985b285c0982046650e8d9cf09565a939e4f9", "55525874e4971ef6738295ea49382fca66fdf28f", "aad6fc5bd7631d2e68b7a5a01ac5d578899c43e5", "d785fcf71cb22f9c33473cba35f075c1f0f06ffc", "1f28535a5866ce625f72fab83ca3304097f9417e", "dbb0a527612c828d43bcb9a9c41f1bf7110b1dc8", "9af1cf562377b307580ca214ecd2c556e20df000", "121396baef9d8137f32530dedba653708d5c8a9d", "abce06a96a7c3095bfc36eed8779d89263769b85", "45dbf1b6fbc7fdae09e2a1928b18fbfff331a979", "6ab9c6111b07378f8c839888c6e331f00c3f35c9", "44d2ab6b7166274cc13b52d8f73a36839ca0d4a8", "5ea9cba00f74d2e113a10c484ebe4b5780493964", "0ba0f000baf877bc00a9e144b88fa6d373db2708", "06ca215c5086ac9fe5f48ce0fbde3e5c42336c9a", "b0ac518e5d0a3e524f30439fa87b35c36554c3ad", "4b3dd18882ff2738aa867b60febd2b35ab34dffc", "126214ef0dcef2b456cb413905fa13160c73ec8e", "0b87d91fbda61cdea79a4b4dcdcb6d579f063884", "f2d15482e7055dd5f54cf4a8a8f60d8e75af7edf", "93b7ee9842114bc15202ff97941892aa848c0716", "951368a1a8b3c5cd286726050b8bdf75a80f7c37", "3a9fbd05aaab081189a8eea6f23ed730fa6db03c", "f2a9a4c2f50b993d488548cc63739465a89a7a58", "07d986b1005593eda1aeb3b1d24078db864f8f6a", "ba69d464bc360f94303ffc9f710009d16a5673a0", "35490b021dcdec12882870a31dce9a687205ab5c", "133da0d8c7719a219537f4a11c915bf74c320da7", "93115b81d1efc1f6d2788972bdb89908764890b6", "48f0055295be7b175a06df5bc6fa5c6b69725785", "3da8bbb525e9a6212dba8f099b2d3f9dd31d2e7f", "b6685941588febbf66f9bf6a074cd548bc8a567f", "a57e8a2c72025e4aa2aefcdca617b8568ab10432", "6ec275755f8776b620d0a4550be0e65caf2bc87a", "ded8252fc6df715753e75ba7b7fee518361266ef", "43010792bf5cdb536a95fba16b8841c534ded316", "0278acdc8632f463232e961563e177aa8c6d6833", "b14e3fe0d320c0d7c09154840250d70bc88bb6c0", "57f877ffe7460348793ddb2fe3fdfe567ca91e02", "68333b73613c59914bfe1264a440b3cf854dc15c", "22143664860c6356d3de3556ddebe3652f9c912a", "9ac82909d76b4c902e5dde5838130de6ce838c16", "1821510693f5bed360c81706c97330d2fa7d1290", "5af06815baa4b8f53adc9dc22f6eb3f6f1ad8ff8", "6f16f4bd01aeefdd03d6783beacb7de118f5af8a", "7767059c935fb773d5e6f559b9eca6e72caa456d", "ac03849956ac470c41585d2ee34d8bb58bb3c764", "d1082eff91e8009bf2ce933ac87649c686205195", "ae71f69f1db840e0aa17f8c814316f0bd0f6fbbf", "721119b5f15ccccfd711571fb5a676d622d231bf", "b431d1971a4e0aca9afb5a24d0ddfacd88dea2c9", "1a21aafe1824e00f12aaccfbaf5d5130a86640de", "0c435e7f49f3e1534af0829b7461deb891cf540a", "17fad2cc826d2223e882c9fda0715fcd5475acf3", "cc0369d979e1721b7e21913c9eb336b3f0f6d834", "208a2c50edb5271a050fa9f29d3870f891daa4dc", "486f5e85944404a1b57333443070b0b8c588c262", "b1d047814837c88d1755740a49389edcfb0c64f7", "9fdfe1695adac2380f99d3d5cb6879f0ac7f2bfd", "72d9bee3a71b005677dfe1c0a416bbda6eb5fa95", "5df376748fe5ccd87a724ef31d4fdb579dab693f", "491872cdba42f66b7e117e283eeb98e1fcdd0dce", "6fda12c43b53c679629473806c2510d84358478f", "59be98f54bb4ed7a2984dc6a3c84b52d1caf44eb", "bf03f0fe8f3ba5b118bdcbb935bacb62989ecb11", "64153df77fe137b7c6f820a58f0bdb4b3b1a879b", "6aa2744801798f060fcd66901d55df2b3934a22d", "76dc11b2f141314343d1601635f721fdeef86fdb", "606dff86a34c67c79d93f1e536487847a5bb7002", "d855791bc23b4aa8e751d6a4e2ae7f5566a991e8", "75407eb34921386f5071871e830032891727ca09", "c2e6daebb95c9dfc741af67464c98f1039127627", "a8affc2819f7a722a41bb913dea9149ee0e23a1f", "f397b8c835425e4b18cc7d9088b7f810c6cf2563", "310fe4e6cb6d090f7817de4c1034e35567b56e34", "eefecac463ebfc0694b9831e842b574f3954fed6", "0f2a910f98e9955d2fbd4841d31b4943b91ab382", "814d091c973ff6033a83d4e44ab3b6a88cc1cb66", "ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18", "dec5b11b01f35f72adb41d2be26b9b95870c5c00", "2cf92ee60f719098acc3aae3981cedc47fa726b3", "6f5151c7446552fd6a611bf6263f14e729805ec7", "e8c9dcbf56714db53063b9c367e3e44300141ff6", "8e4a4bced508d94805619c22cda7bc54cdc25e6d", "d6925270c730ea886e95e32bd61c84d32b2f7da1", "6b3f2b1c80cbeb62d0abcf7d452b5e9293208555", "f913bb65b62b0a6391ffa8f59b1d5527b7eba948", "d4ccc4f18a824af08649657660e60b67c6868d9c", "b6c53891dff24caa1f2e690552a1a5921554f994", "cc1b093cfb97475faabab414878fa7e4a2d97cd7", "292e1c88d43a77dbe5c610f4f611cfdb6d3212b6", "67250ea195589d9dad29bcbb17219d7447a23597", "1cd3250280a0703ba57bbc357287a7213f901b7e", "b578f4915a4496d14ba7684b128ffea24c98c314", "5e821cb036010bef259046a96fe26e681f20266e", "ea79a2ad4ac307cb8c586b52bf06d7bf783003a8", "25f1f195c0efd84c221b62d1256a8625cb4b450c", "90c4deaa538da42b9b044d7b68c3692cced66036", "3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f", "1a47e9f0d44c6298d0e7be3373002f435791fa2a", "ae4390873485c9432899977499c3bf17886fa149", "9df37566a6f88e31035c124a90bcb31815e4aa74", "2bf08d4cb8d1201a9866ee7c4852bfcbf8f8e7f1", "d36a1e4637618304c2093f72702dcdcc4dcd41d1", "51cc78bc719d7ff2956b645e2fb61bab59843d2b", "42afe6d016e52c99e2c0d876052ade9c192d91e7", "762aaf54d42ad6bbd97956417a56fd0ddb269c11", "d0e895a272d684a91c1b1b1af29747f92919d823", "c3b4705545ca039a34cacfaaaf07cc7a57932a88", "7b8e2b1f759424a0e909095c7aae3727377ffbb4", "f8f872044be2918de442ba26a30336d80d200c42", "23e75f5ce7e73714b63f036d6247fa0172d97cb6", "86dc92a74dd22c075357c00e089b5d6fb24fb857", "0d6d9c4b5dd282b8f29cd3c200df02a00141f0a9", "70d0bffa288e317bc62376f4f577c5bd7712e521", "9ef06cc958af2274afd193a1dca705c08234bcd3", "176bd61cc843d0ed6aa5af83c22e3feb13b89fe1", "eb7b387a3a006609b89ca5ed0e6b3a1d5ecb5e5a", "8d5998cd984e7cce307da7d46f155f9db99c6590", "ab1f98b59fa98216f052ae19adce6fd94ebb800d", "ed74afbd3e36f0fdf54da1e4fcb773c21b5de9b9", "cff0e53006c6145d96322e6401e840f405b6ed02", "522ef585f181ecf7ce926fa159edf44fbef55ade", "a6adefcb723a3e52f24987115cc3ae7f6d08283c", "69a4db0468263635ec810c49eb42f1edca728e84", "2c8ebba5d4b2b679aa5713c2d2e2e0d5cabb585f", "6dce5866ebc46355a35b8667c1e04a4790c2289b", "2aa0a7d65fb66435308e09ea2bc7fb09b2d484fc", "c08c377a1a6ddf8c45240e34ea6358955311c533", "f8ec2079838520fcb9394574bdd956ac9d3d5832", "ce142b327974580b297fb84c2c1c799f838bdda5", "2af2aa21538783e46911fb857a23dbb88ed90c2b", "046b30b3c3cf64449e9634273e9ac50ae931a0ae", "c50318651f70913c2e7924d6c9d8a7b326c07ad8", "0a02184707247a79a236a03f85ab35d99a68be33", "538a9230ddc14b8a5d3f5f195aac4ec43e37d16f", "ac5a1b5a90dfeb4d22c37d806385cb9046e5edcb", "3a385c330c436fc4c5ba288e219819e3cd28896a", "4f93cd09785c6e77bf4bc5a788e079df524c8d21", "063146e2b400cad120d41371a024de319eb67c05", "5ccb73fa509b4c56c765cf5ef850060ca8686bfa", "d6daaec16ac90de8f99640f687ad7e9e92a46840", "2b86919eb8073d9b0e137b23cc9a14fab8bc601b", "d6b0a1f6dfb995436b45045b56e966d8e57b0990", "6862945b8abc805eec2dcff0eb2445f7c8ea9a80", "81f52fef843df38fb22fdbdf26da18f9123712b3", "ea672c7b77228ca570aab7888b96de7952b2b21b", "a534f41608ee0157ff002a0d5e5d39deb0d34797", "6193ddcb2500e696ad572e6b483eab65c66f8c44", "bcf73131c2be397fa2105ac45df3ce1a55c07c2f", "64a39028f5d70ff2f7c3861847adb1f995319c2f", "2b4bed0fadee29a84a272d7c52adc4a70e1a2b52", "16fda65f258ca22d856bb0252891deecc59efc3d", "46e866f58419ff4259c65e8256c1d4f14927b2c6", "da833d8ec9c91d55256effccd370b2e62a896ccb", "b3adc7617dff08d7427142837a326b95d2e83969", "9e8f9786ea868f042f7d984cddbd9a6dc23969ee", "b3655bcc6f491ae995c652c7f51e1b9b3a36d39c", "80688e72b00013eabe57ce88be0c204d0b5aea2c", "551a11f9db279cb1485b1598adb8552d345c265e", "bc21bf4c733e117d2d969fd5605bba4251467243", "0cd7ff53729dafe9175009d7f04570dbbf41a608", "0ea53c86d24b1b80389eefaf0a84fb9b2108b795", "dbe64cf1c505ca5ccd0f8ad914bc0eca97e44e8b", "c55b0bcd8081999f265468f87f281959bfc786f7", "5a62f0b5d5afaec50318a6d9063920a6aca6e3f2", "286e4e6b0360c06f659d351ac885aafb62a6b73d", "99ad5ac59f2139c021115b2e63c81fef19f01080", "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "c3a101f8fb6dd2fddfee94774ea3dbc8df8f45de", "b6862bb11e7e72f7c2e71de9d8e5aa731f8a0df7", "f8f373d50d1d38e182a8c1b96c821eccac39f07b", "0268d1744377ffbff48b014f513ea3e5e4a4dab1", "6fe2efbcb860767f6bb271edbb48640adbd806c3", "c398684270543e97e3194674d9cce20acaef3db3", "471785884e523566ed38118b23a30ae5b446cf47", "5c1a418120208c27dc724bc24853ecfcabb22e84", "76cb86ab21796d81790b1c98c10e4090ea187c7a", "5122a5d4bdf58b4f413d4de1fb250d4ab5e0608a", "5d5af53310c56d7e7678b92b69b88ca8fd95dd1f", "8b653159e55dbac7130403cafcc9d3e86eb47ab9", "7ab233422c7505ad58e052acc74ce5c557a220b8", "58eeae4de083747a2c018b6ffef4fdaf7aad3c7a", "0183eff3a60f44bc6e4bcade37518f6470af3437", "b28e142376a2dd639f58935f2f63a9dc7651131e", "aca273a9350b10b6e2ef84f0e3a327255207d0f5", "191eb9c416a991819fce7822b72407f265f19608", "c5637543e80f97c9ddab8b54a635cf71941e2786", "5e0832848fab012b7e59580264257e0a3d05c596", "310a88a60ffa2d8a0fa7ef9fc77fa842d16eed57", "2abd13f249d6483f1a433a4deb8c088d40c24586", "a71d0bf3b8fa6cf0069fe12f3fe6d695fac7dd44", "9d1858a2ac2a963384dd6809dbdb2b4bdeffe040", "f563ef1a0fd024edb91a889b17b64aca84624be6", "1e9461b2e48e11638b85c2f2dc7bca043f9d60a8", "32f37cbc7806c37e8b618d935800bdcd6e7108cc", "a75095fcfa78972dd222810fb3e39d77ff6493aa", "77f064553b780471a2812ed2cb667d7332433bdb", "e135f8118145b6a2e2a6a2088c04c26ca6d38642", "ed7d4400d5e07efb7b7cc3624dbe5963b77fda33", "a1a49e2c1a424ef2dc6a5cf787d5eadf8421aaa1", "c01d65f262814e15daee73538a0a20d2a88e05e7", "8985f8d9aa656ad5b85d0d06ebe027f8c4ddf46b", "c4b3a1cf8842da8c64f7abf4a352583d5fd9762c", "71392858b6af5b50b1cd7c740560697101f60e46", "884e63b5371883a1502f5c39a08e5100c89a5427", "7920936d6468b027cf52793f6ac6a05b550d87d7", "284e96db3ab52fa2e2d16cd611ec6d2639de5d6e", "299d260138692a0affe8ec0b8cc0ef4a6474e6a2", "1d58593a61f887e2ea367a5f59dade2493ae0b44", "6757254d27b761ada5dbd88642bd0112fcb962cf", "7cb85b17a35511b99bbb3975a333c714c1aad4b9", "f7a2424eb5af9613544a945772addcf2e19b5f92", "b03abe450365433450120b3eba460ee4e2cfc763", "35058a8166a8fa4479167ba33b3010cc8c839f44", "a88ca6e81e04b737ee6a416263d305db06de72c6", "83a2385034b98af16f4a1a6cad2c7a481ec0a9cb", "0edd3517579a110da989405309e4235e47dd8937", "1b1d31dcd365c48ca39b4eadcdabf1c70104e490", "ff70cfaf3e085a6c32bfa7ebedb98adfb7658210", "4dc056cfe5d06cb9e4cbf60ef5044f956ab92b91", "6aeee62bd32ebc3c5349689f9e4283afe8d162b4", "2b10b0f309546878ec418ae6e6f0a993fd7f3293", "5257c447f9c50ee8bb2011fb72f8bd40bc0291d8", "c3980cbaf613cad1fbd0ab6da472c789cda583a9", "92891d260e46adeff84ec5ea0817c0b6a70c253d", "9006647d190af09e773bfd7ca9d5632f30ac0d72", "c2d102743e265d1b7c6073b087d030425786deb9", "fb19c7cec103193ea4f4265a2d9534a20893b2a8", "03a83517298203605b502648ded886fee5a7436e", "c2ff1af8ae5768aaaf52cd4809bde3cfe9bef962", "8fb611aca3bd8a3a0527ac0f38561a5a9a5b8483", "989ca38616b52f23c2720ba5c6df2493dc025d0a", "5fbad7c39509a3edb4f8a946e2676562e88264bc", "b66418ecc37ea0c79da5425e9ceac939ca9075ae", "f08e3f5fa4dc2a07e7024911fce7d01d87962752", "132f4a27b3d20e3783d854343b06d7fa3a6fd142", "ec7951e69c7f31dde16072d369491250378f875b", "1d4d249897a0b50d1e3b9ac4adea7ed5c4e26976", "c51fb195bd9fe3b7d001179a3a39bb8252304f1b", "5dd2f26a303272b2e1bfb7b6d994eed9e67d30c9", "e75601d37c2368ced9f5fc579608db7bceeae46a", "d399a5dc23866e4590d7a76174154a582b93a18d", "63f38f60022ab78aa5e47bd84070547409ab3cc8", "ebecc2516c998ec6acd1ecc5484702c4ce4c980f", "c391478faa3a8903678a7bbc4ab17c8f9601e273", "25b1a031a0559a0bc4079e9011bdf527e1a39d19", "319aeaba5dfb4f7de44668bbedbbfdcb7ebc50fa", "22344ddcae83e732ba0c2116d7ee9016aebb12be", "4b8762d7637868b6ba0c97c95b2d4949d103ecdc", "15b1a65988290432e79a5527e2bd6d3ae45c1b98", "bce887343456e4344b8174b99cea641a97a7bfa6", "3fd970da1fd9ebcf1b97f4d16f5274b25666471b", "389363432ee9fcf0e0cfe67b7b4f62618e1f4b59", "a4b9161ef85519206b7b2b9b0e1598b2beb4e584", "960870523484a7f66cf8afbe833afd7d343b68f5", "4263630a35c5ee34ccf9dbd81c0541d92d0c7d5b", "85c7aab0f58f17816064699865cd0836bfbf2e82", "f3c4e3c50f1213cf74f30b1dae9717cfdf465a36", "fbd781143a3f4c9d03c227cfbd1f528d658195ce", "678f2f9b3597cb0304f5c0c937fa2f5b25daa6aa", "43f37a725dd58015bdca53937518042d81ca1078", "d4712c75a1a51ecbc74e362747926a16a2cd36ed", "d335c623f30a290f3291554ec500a8ded69d03db", "0549dc0290fe988ede74c4e030ae485c13eaa54a", "837635f647c42d03812a7f4ab5f87c5a49372a0b", "4914ba227a02f1e2aa95cf49b6afd2a8427d5546", "72fd97a0f595fc108d9cddf1949928143cbcf22e", "d1d9e6027288cdd64509ea62f88a3cbd9320c180", "d458c49a5e34263c95b3393386b5d76ba770e497", "7634fd094c435e2084abe3f5553bd814c9d0ec40", "3c0cf28fba65ef287ac889aac138768fc384f80f", "420fd3f64781cc21e188f8325a8df8911c286b8c", "72e14386d0ef1aa09c52e07086fc310c440db16f", "c048513689fbba0a12a1ab9cb08ab3a533918519", "6b359aefefe6b6c511c41afb873820462f5f42cc", "4f8b8a1f454eef624f1aed78bc4b60ee39b7b0ae", "6f9824c5cb5ac08760b08e374031cbdabc953bae", "aeec61ef41d55b5c1becfdc00c2e4dbca0e379c0", "e953eff0c214438f7f32f3b17994ef7d4ecc1e4f", "e7cf3e01b9d74531cbf9f7158e099829e233e261", "85c2de95080c1e8d955ac57f64a6b51ac186af32", "81c7d56f1a77097c8fa14b76cb359d7f436741a0", "7fbf1885f27fb72d5e553c4a2147375f928465ee", "cfec3fb4352ebb004b0aaf8b0a3b9869f23e7765", "a0da08f42b1ce4205456663c4b5fa1d9f1b2b873", "dc396e33d350970aa27e072338ca8e95c20d815a", "3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8", "3a71881855d75cb68d0f0cb17be234ef1864011e", "cab86dcc9cbfa064991401efe798f2853a70e6ea", "b454d1385696f4629206e5c8bd190bc707ae75b7", "6c015bdf0e2e2f090190876eaee247ec610323ec", "73528766101a4577a48a8c03119c26fbb8228748", "9063a486b2e216ef5abfbb8c7503accd2becc5ea", "d1496833b9a14d87c1bafd0d5031cc1629ca2b87", "0bd192078234ebc1266c3f3e80560e843ba2f3ab", "4d45612c41d3e27a30a5ec64e0d8e2362dcb6b73", "54c8d17705bb470690a67353e2d492aa828872ed", "71573d5dc03b28279c1a337e9fd91ffbeff47569", "a493a731dadababb6f2ae0b4b6233d861206345b", "90aa692013e6a36f8313b9cf3183a499852b4330", "c44c84540db1c38ace232ef34b03bda1c81ba039", "ab0a19609759acd2823c86aa6c3648e765550626", "2836d68c86f29bb87537ea6066d508fde838ad71", "2050847bc7a1a0453891f03aeeb4643e360fde7d", "d3a3d15a32644beffaac4322b9f165ed51cfd99b", "b2e308649c7a502456a8e3c95ac7fbe6f8216e51", "39aaa7ca4983caa563656716096c9eb0082c8a51", "871f47c80e738e9710e4e0f2afb9855f1ee1d6e3", "744d23991a2c48d146781405e299e9b3cc14b731", "50cfe0673a2ea8986a80b771a44aced2d793e34a", "038277dbfcd767b0a0899de42d3277b5b253cc8e", "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "2133475ba633c732292ccf405f07a0baea9d01b3", "434881b40c45df1e807eae37edf454e65d36a4a3", "1fe9289bf1640d3e1d5030d2da158497a7f3b4a2", "17670b60dcfb5cbf8fdae0b266e18cf995f6014c", "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "e9a5a38e7da3f0aa5d21499149536199f2e0e1f7", "b9d68dbeb8e5fdc5984b49a317ea6798b378e5ae", "3da3acb71219a0e13f460838a4d34289e03174fa", "1d3dd9aba79a53390317ec1e0b7cd742cba43132", "853bd61bc48a431b9b1c7cab10c603830c488e39", "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "8c66378df977606d332fc3b0047989e890a6ac76", "4863333b9e5f25423e273a0581de3edee8bb3b97", "b0c1615ebcad516b5a26d45be58068673e2ff217", "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "e9e2d40e40438a3485d7763b97302240ab637c05", "019e471667c72b5b3728b4a9ba9fe301a7426fb2", "80097a879fceff2a9a955bf7613b0d3bfa68dc23", "d37ca68742b2999667faf464f78d2fbf81e0cb07", "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "1648cf24c042122af2f429641ba9599a2187d605", "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "70569810e46f476515fce80a602a210f8d9a2b95", "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "989332c5f1b22604d6bb1f78e606cb6b1f694e1a", "c607572fd2594ca83f732c9790fd590da9e69eb1", "705674e26ec579bc061726e7f3eeeaba806f45f0", "08d41d2f68a2bf0091dc373573ca379de9b16385", "a95dc0c4a9d882a903ce8c70e80399f38d2dcc89", "eb8519cec0d7a781923f68fdca0891713cb81163", "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "fec438794c9cc3350d6dd9a16cd48d1b8d13b32a", "68eb46d2920d2e7568d543de9fa2fc42cb8f5cbb", "68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090", "5194cbd51f9769ab25260446b4fa17204752e799", "003846e4559fa32699f08ecd09de13ed5a4e92d2", "9838ba7a31a096503def7b69bf48e5d327f95caa", "986a1f8d07e2ae3df98fe91f6fa5303c808df763", "538f735450463f40c78f60797899fcee47df72bc", "ec949cb716fb33cb9273fc90f36b0351056ef0e0", "c74562aba74472794736728fc5ba95891e624f4a", "6293d33e176ba7ccd59e94f8a137876c1d581e1f", "902794cdcc6d908a2955f4c7361a881fa76afc98", "593dc59fc8b89d5040be7fa5239755ab47b0e01d", "747fdee12e633addeae3b74c12643cbac2c925ec", "f77b3e6b6eb4bc6d6bfeed290a1bc533bb97968a", "75d8f2da0e9d80eef141c765254d7752445afb53", "04b194d6358957e5a48b3e33a0738de59cf7cccf", "0adb5923fb1955f7ca0a85454afe17e5d25425df", "6a203565275610eac73461438f4cff1a35d5075c", "c626a9d75dfd73e26cf30793d5ef71527cd9fa95", "655b1f83ef218ee6a030b5541d2865bc6599e6d9", "54171243dfae9d7343c78026c9b94004df3853bb", "bf9b34433bdf14e595a1ed89a23c416990639215", "70920447b8300fd65745c0a884523e4d52d000ef", "39d091bd1908229ba0b2490f762b23a8c7050693", "9e889034999221e37da9f72bbb60383712fe7806", "f1cec5f837638efd8fd592cf5493f33ed1fb6995", "9fa59e7bf64875da23547ebb49d34fba5233c61b", "5ad88a16e2efe9bb67c20cdbd9b003ffb79c12ef", "1a1955920ee36d58265fe17100ca451d899e8372", "444a3d811380318d6c01d952e751e0aa55588595", "db412dcee9aba0615d7972fdee55655061ed0178", "7a88d33b3e23a2cdf1e8a2b848c73a12a34ba88c", "29954bf080407f23c8ac140202bd2ae5a48fdede", "56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0", "ceb4040acf7f27b4ca55da61651a14e3a1ef26a8", "84af83ff6412a756df58b6436f0d2e3c049e1f12", "10d68ad6411aecf321c1a590a481901623495181", "a546fd229f99d7fe3cf634234e04bae920a2ec33", "e86e2106dbedbb6d8b1195b77540971b9d58a198", "6e0121e3e8caa27d6283e75fd13a323aa37d0df4", "af9d41c598fc5ae57b20948cf664273da4664931", "1ac4e83971cb2d0114eb3101651239c27d1b5b2b", "3db739406a5cc3326a35ce59cb261a41a0ca8f30", "20828d021b5987bebc3ce495e44eb9e48eb9be3e", "7385c53466fe95d847d21a04a805f532ab3e0101", "15fa1f2a1c6c5eeae149eeb24bfe0d545c02f73a", "4cca640761c980c77a696a64ad3c1e95b82109be", "1212af29cc596e8d058c1dc450b2040c51be6d6c", "af9685d885b88aaee4ce9c985669032a9ac9029f", "b5c4056a8b07a050f70660720cf606a2e00dd7d7", "5827586e4503389985b238ddedcd5ecabe4e4bc3", "53ab5b9187918b9eab45b32feda2aaf9e7edfae1", "dc60ce6eb9ace1dd9ec9daa26a0bb456532ce0b3", "1253223b9efba52a9d0ab2efac79d2c0d010e7a3", "83963d1454e66d9cc82e28ff4efc562f5fe6b7d3", "4cace31e5bb5ff11318b66ff1050e84ab5f334cf", "9ad0e5b0342a3878b18ec245939725a5a904a52f", "73599349402bf8f0d97f51862d11d128cdba44ef", "299ca90452aa8a7dd517de3ff3c9bf224d5100c7", "96179303817c6e3549f779abf6e033ae7d221199", "5c733b5994b8d457f8496dcf8f6864a95e53b9a0", "f736b7cf8388f20bfe9619d63d9c4ce070091863", "e3df67537b365574c0036108fa853cda23778d7c", "1df8172763d403244e77be8ad0461d3f989a9370", "fb171efd146fa2e2613c14edd7cfc0776349950a", "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "b3a82f7df6d19898da0d0a01285b8331e099cea4", "caed930d54a3f24b86163dd31eee9890ec5b5c5f", "dc63e89e014beabe084c1dc72838c473d8c7ccfe", "22dc91889312e796ad36b363bc5ed959714e4694", "9ce97efc1d520dadaa0d114192ca789f23442727", "83b700f0777a408eb36eef4b1660beb3f6dc1982", "27784c7d525b338f236de37a824a010d636102cf", "38b61bb76131659916c50f4f7926f4d225076f1d", "79a166bf02402f7ed9947b826afc72f24f65b311", "690a1b410cda35bdfb5bbc8d89af1b7a97c703d9", "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "238015b2bb185f7154d9461066b7a54c96064565", "9bd3b15944ac28aa7021db126e4344a478bdabf4", "5d76a25936366c6619d2b5e6b74106cdb53a4978", "a15f4e3adb56dbbdd6f922489efef48fc5efa003", "34ac676ddda31dfc14d4328b0914fa9f2c6e1a92", "c4934d9f9c41dbc46f4173aad2775432fe02e0e6", "66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5", "b2c60061ad32e28eb1e20aff42e062c9160786be", "5fa1724a79a9f7090c54925f6ac52f1697d6b570", "135bafc83e9a73c88e759f98a28edfdb5c02f81d", "8588e784033bcbeddad88d45decfd3af2017ad3e", "ee463f1f72a7e007bae274d2d42cd2e5d817e751", "4f0d7f2926061c9dd6081d95eb9755812f9a16c2", "1b3587363d37dd197b6adbcfa79d49b5486f27d8", "efa08283656714911acff2d5022f26904e451113", "0c2875bb47db3698dbbb3304aca47066978897a4", "8afb501d683dd2ef3276f77ffd66230403a8ba43", "21819624b83b40586afce41c3c9ae7abf6c9a2ab", "bb6bf94bffc37ef2970410e74a6b6dc44a7f4feb", "25894be540936562953f37fbbcff69e5ac17a494", "27e15e5ae496a228653b69195e7d62a758b73cfa", "53e0ff629658f5a1b6d42be9a8892a0f16587ebc", "638e04272c312d64337b14f001529084f2c40bef", "22648dcd3100432fe0cc71e09de5ee855c61f12b", "8f3da45ff0c3e1777c3a7830f79c10f5896bcc21", "747d5fe667519acea1bee3df5cf94d9d6f874f20", "daefac0610fdeff415c2a3f49b47968d84692e87", "58628e64e61bd2776a2a7258012eabe3c79ca90c", "02239ae5e922075a354169f75f684cad8fdfd5ab", "936227f7483938097cc1cdd3032016df54dbd5b6", "366cab6bf6100ea99c7d6ebd089878ee31aeecab", "e0111b5c8d4b5770f805a24a3ecb77bd90205449", "69a9cf9bc8e585782824666fa3fb5ce5cf07cef2", "c8fc65c83473c633e2bf1c13031ccd10617cc8a2", "2d8d089d368f2982748fde93a959cf5944873673", "83e5e6fc0f086017b3e099ec063df94f47427d2c", "3152e89963b8a4028c4abf6e1dc19e91c4c5a8f4", "523574aca71d8981b4122cce8d132f22391ef26e", "a8d52265649c16f95af71d6f548c15afc85ac905", "71f4a824767eed13fb02fda38b1f615710f8128f", "c112f761bf0f7135f82331b22c330130a7f71cfc", "7dd6feca2c444323ec8e7017ddd8d1253b29c6a1", "ad5079e4446d7c4bbf1895d8af56f6d299eb1f0c", "26a6b2051fe7970f94584e9efbfcf7bdcfd1d6d6", "1a00927d3719a0b6c2699f0ad1e1f4cb8402d4ea", "77816b9567d5fed1f6085f33e1ddbcc73af2010e", "c397408e784004240e866d0f31cea7b9e44fdd0c", "5ab8d83870a6fa71f787f3fbfdd03786801a3496", "b5d7b34821c09e158db7ae61b8aa628af357c9e0", "336b2f1e477a1fea7651d5c1b6eab7fd17a039aa", "27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8", "002d1619748a99aa683b5c30b7eafebdfe6adfc4", "326df1b94624b7958cff0f7e3d16e612ea9d7e4d", "4e4311a5fd99b17bed31b7006a572d29a58cdcf3", "8ad4742e656c409e5a813c1a6d5f21fd2e3a9225", "13a994d489c15d440c1238fc1ac37dad06dd928c", "993cf62bb73e18550cea82e9774ab59e43f5449e", "901bd72b9caaf78e096c3d3e015fbbfa5e90c8c1", "c2fffbc7c82ebfde82e6dcb36231a3969e91ee1b", "4b450ead769a48d22c57741c0dc0631df759bfc6", "39fc0fe46ddf43f13073cbab077d981547889dc1", "c4b937a68c068e9d70548b7dc2cf5527aff16924", "2fc15f80080b4317cad60ad645300b49afddb19e", "2bbe89f61a8d6d4d6e39fdcaf8c185f110a01c78", "39316490f69f9469d0142ba42b3deb5d29d70ec5", "1b224ad99c42e696b6d98c05a87f1738e28c6c5e", "2011d483373a84c59661f66b58ee85d277c0b7ef", "dda0f68fe949dc594ac3c42438d780adfe0d742e", "3ffd6531263bc1d0b7acd4a234a578c285f77917", "1048c753e9488daa2441c50577fe5fdba5aa5d7c", "c593c6080c75133191a27381a58cd07c97aa935b", "47f2088afb616bde5468818e23d79e1ae5a562cd", "bbf49e0dc67663b2d116eebdae93abb0f276ac8a", "9d4c05c7c9284c8e303641b95e997f11df2dd1a7", "23b3b07cb484bd3aaeaa3728f8977c44f50443f6", "df570f400e2dc597a8aec9b31786f682b822e21d", "e97ab76f97a09f585bc21d1fcda4ee78b77d0cb9", "8c5852530abaefcdce805d1e339677351c6ec7fe", "9446d1f95d5621ad1e5f3e4d4e9379f8f6ded21f", "e905d36e04aeb356c07182b840ebcabb417e7c9b", "fff32fd598e41ec6dd6903082d77f43f16908cfd", "6b60f8533d44f6a9c2b51db0e7f8421b6ec1be1a", "50f7d3faeeaca41748df4b8fd1187712add72bb4", "02fd953af0391d395bb7495d4450bbaaeb1ed70d", "721b890875660e87e7e3d9dd6917709b5fc5e34d", "68ae4db6acf5361486f153ee0c0d540e0823682a", "b3b75c14aca737b4769661f5345b99a2761d9881", "09ad57265a1f0dfd60b3360daa499f5e93059c22", "6d0cee378100cb2983d7b8d4ed337df0e2ed5c73", "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "56f759838cb154f540be809d5fad6540457facc8", "025ef3fde2ee852ffabfa726eb6ea95a7d8de802", "06eafdc0b281edb8ab4d65012da5d0c94b55970b", "db9bdf10452e99a6dcbc5c01e8c934f85d61b101", "8d2c0c9155a1ed49ba576ac0446ec67725468d87", "eb98feac659ff5c7e27bc8eb4f425bb158e3fc5e", "81f1d80dc9775995d9c080043ce128fad0298f48", "4c1e47ba68b81d210718f837b197253164decaf0", "16f0195a60ed55b5e1a955c420f94a99e5815258", "9e10ea753b9767aa2f91dafe8545cd6f44befd7f", "26c8ed504f852eda4a2e63dbbbc3480e57f43c70", "2c06c14b68f6621b4d1b9e1cf8fe81069a8d42ce", "9a2af8c3be3ff4677efaedc3141846c64c85dddb", "c28e9523565104d233351665f69c63e6cf0d1424", "a03f51c5a56401986e451e9d50ace2bc4686e12c", "1b4add23ab3e3ce40d8ec48120bd710d8b53d2c2", "a7eee3222623778294461102d0dc770d4e09a7c5", "7b7df29da8ccf4a74908f70845c7b1e523a174c2", "a0e3775fd5d5df951ac7f65d3a9165bf4b96fbd8", "2193cb7a612e25fd4fe773312ec03d6c8a2dfa03", "e38709a2ec162a6f2a2fa3b4b6463e752267b154", "d97288e3cb6ac11a7445e5a896e89866cc47718e", "eb24c37a43cd3e4a957c47898b7bbfe7c8695e3e", "02b9e1e24a3d392186673b2f7ebfd2602534e52a", "aea36332b83ac569dabc88618eb6c4ec8a7e68c9", "f0ca04fe6de04a46f44dabd8744b4163e8e0b4d3", "14d78b7e0d0813da722e8447ce4ad57a3435b6d2", "4996867811a2b66ff662ac8fc9eec119cf7f0ae7", "d3af3935eac968372b42e5bd6cf32a95420b0ac1", "afeed4b79eb88138fa342b33d6ab33e26945e19c", "50832083df91f83333364544b24f8af4798eca32", "53282ff3b130e9503c5d9e8ae77a2d63ac68e07c", "58ca00c22a7a365f71ddbd8bd56c33ceecc325be", "0580bfaf154e5e2286a115b421b17ea1ccb9a7f7", "bec31269632c17206deb90cd74367d1e6586f75f", "23c7465c16ea9343f74a400f92b970e84878b65a", "f39ab00b78607ac3685ef284cb3c78d0ceb2686c", "116f0b1f54365eccffbb3310146a43c6935cdb04", "c4f4122d16e1fdb77cb94152d0d1222b69ddc32b", "ce5ee0c014b5559c8f294c34076de7e978f84844", "06e9149b7ef8bff3a4b5a18fe01da9a522f91891", "27fe52eb8534986774b59a1aa5477c39e251f327", "2c786b32a621a52fc7d00499e4b056f149a4fba7", "8919a83be135007cda72875c777bb648a71cf6ce", "c8f428eabaee6423270882a5d79505637ec9724b", "9492e93d4ceba8b4d95efbe38f844efd34a95222", "e0969c22be0c93a2894ab2451eb5331e190fe98e", "f9b2d4a38d647f2819951f8876ec5d067696e5bc", "a7664247a37a89c74d0e1a1606a99119cffc41d4", "f7ffc2dc6801b0feee7d863f02ae2ca34c3e6a66", "ea72e537ac714d015c802280345957b40a262da4", "18855be5e7a60269c0652e9567484ce5b9617caa", "7ee610cd384cf1950d6254562e00490ad05eec57", "4c797506d610525591288f813621b271ce879452", "57b55a7a1adc8ec06285ebaf93995d67cf80c719", "0b37f9fc4fee278375c44d03d23bbea5d026dd2f", "fcf8bb1bf2b7e3f71fb337ca3fcf3d9cf18daa46", "3949967b873dca8c8adf0761777e2702415c67d4", "4ecd459aa4b4590bdc552e07b6d0bbe132fb1fcf", "06c7b96d46cc8d78f32a11f649707d22c585ba95", "6a4508df37c95e4c9e6d26ad70a2e718134b8425", "da53d733ac5c59397d925ff40c24932791b98ca1", "5791a0c98d63fb8378dfaa0f36a0a229c04df6a0", "b8053da77bf1a5b4c87fddf6140be0a612cfc164", "b372432ccd4c9cf169b1eee2adadae074eb3a3fd", "1b1eb9b758676f9b249ef17bb473cfd38c11e62d", "c553e4a2aaafca0736064c07944eace986b4d6a9", "892db59add66fc581ae1a7338ff8bd6b7aa0f2b4", "35067d880e9cad43811c6669a6b39e337cc4acc4", "baa4b2d31c1ce7b1c8ccf5cbd3e12ae3e89e1d7e", "bc6a0a107068b5a1715510e815c0103eaf80672a", "dedabf9afe2ae4a1ace1279150e5f1d495e565da", "da2d7ca77376b90a79287a517f596af628c8f488", "013b72b0941eec78c6a23bb8e94b9447793b7833", "2d690c63b00e68782666ebf86ac0756fad100a18", "6eee5d9c5343b7953028a49d202caa683ed9b448", "a06ef8ef4838c048b814563f7cca479c7d4513f2", "233ad668dba2bda721348254d41265ceb24ba2f1", "e3c741a093847839d37817c16506cd7137a5579b", "2aad85de05e8b9137558926678c94442371d37ec", "8e9f61d2e3c27a831f85d7be07efa70bc3492c9c", "3f8537c2141ba19a03876c7bb5c1e71a01b56838", "278e1441a77fbeebb22c45932d76c557e5663197", "6f8ea33c29de7ef94f674c4c847185a127c6ea2f", "7e8edc45fa80cb0f7bc2c20e8eb893dcadde2c8c", "42a6cbc729904392808195d8d4c91636496c92a7", "d22473b5709bf03e03cf7b9c2397c9dd25a83228", "3991c704ef1030c5bfead2b58463d39842b52985", "afbaf5e3ccaef3e53ec85e42b97392a0e95d3991", "0277d5e54daf955fe670505bb1c34ad67396448d", "f84a8a7d9bb4a07e5f07cceaf9c80163315b12fe", "39c118c4f3c02daf7edcf207dfc690814967e8e8", "0e05b365af662bc6744106a7cdf5e77c9900e967", "57f3a57fd5569f15dfbb2cbc69e7f6af1e88b1da", "66080593dc4ea2347d4ff8c10e4b4dedf0d16ad2", "39c09940e03fe5c0e6c9da28253cddfeb25a4aca", "5eb2ae4f7c07015b99dba5ab6ce9d9386d493eaa", "5388638c7801b11958d937c89ece764bc769e298", "d0c916d9045dd3d028774cf06255bbd041c72af0", "08e56681533a23c79309718f76cc0081a8baefe4", "70eb48e06d9d5edf84246b772673b6d44af4b3c6", "578e755e669caee147964f9412c23943cd0f0789", "4963aeb5e5e71671ed7403a576eef82d2d95a267", "c8c0e8523481996a77423eac861dbcec7d5a7716", "b47386e10125462d60d66f8d6d239a69c5966853", "2a3768ac4f6b3bfbcce4001c0c2fd35cfcc7679d", "5955e31c413a4a08d149de8af843355ac45525bc", "36cf36021540ad81d86d6148b133751d45caeed5", "660cb4c5ba9a6bc0d1bcf6b0dff66c47512cb2b5", "e55f7250f3b8ee722814f8809620a851c31e5b0e", "4226c9b155ef3c5c78bd122d870fec42ae695ad7", "24018d6012aacfb8f5f5542664c572e6b2dd29d5", "79b669abf65c2ca323098cf3f19fa7bdd837ff31", "40c357a9479bc17c170260091aa968f6f6fbaa78", "14373c9fd08dee8f7195a88430121c69bbebbe1b", "c6f9d500f55201ac56812829fc2d258e4d662a1a", "7acc05ae92823c12b28d6ad73cb2a7707ccb6c7b", "d4881df7dafb7beed668cf6360066de4960c89b3", "e9ccd438d6d55ba0d11a63eb95c773d63b3ea4e5", "dc452f3e531c4057c930f0538d5652ad9034d1aa", "482e8a9323fca1e27fccf03d2a58a36873d0ae10", "34d14e8752f7e368b78b4e72beb851087cc336b1", "8a287a95b93b2f42279c321a828a6fc362a3db21", "aa6b683c891c15389b90eced73c56f34065ee3be", "5d14cc415a93e6f3a625ed7794e1fdcf99ea5713", "a7152589980ec27375023d719eec6acc04b7d4fd", "6502cf30c088c6c7c4b2a05b7777b032c9dde7cd", "01c948d2b73abe8be1ac128a6439c1081ebca95a", "e781f2b75fa9b2bb0f41dfa8dd248bcf874e2080", "7060bf98867cffc08e8aad59f572d3939f19a774", "765094fa3cd745bed29c20dad92dbed8c4cfebea", "9a835cf73ed824cbce116ddf2133283f4c82a971", "ea908e1ccadfc1b8c2a93edc060112e0a498d354", "279acfde0286bb76dd7717abebc3c8acf12d2c5f", "c7657e8c546ecf2987fea4d27df17992a4822aed", "122ee00cc25c0137cab2c510494cee98bd504e9f", "05a6fdc344fa9255316e0998e0f831d7e892a25d", "ff249ee2d69f14fc130fe8433732e9733ef066c6", "0f24db0c7a8db28595c9419354ec1407c2b7d89b", "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "aa925691f99a48355bf1b6b2c22a0260af35605d", "1d58d83ee4f57351b6f3624ac7e727c944c0eb8d", "7bdcd85efd1e3ce14b7934ff642b76f017419751", "182268d943926a048ea3f128ae8a3f3679d3dce2", "0b5899af61f410cc76bfc81e7cbce4499bda2570", "ddfc978b3a149015c9e517fbfe1b8563df5e7356", "28e1c113b1b57e0731c189d28e404cea3bddf260", "318c96a87a7f2e573a3c21f4b2076399556a8e0d", "f74b62933362cce595ac247fc6f54ede68697d75", "0d595eda148555402d59750cb08f79bd52a859d5", "2b2e6e073fe0876fdf96a336cbc14de0217ce070", "fc9e48e6688792a3edfe373da51e2b4e7182c6f2", "88f8519f442826f9b7b2649c1cfcbc5c82160428", "dfdc683a113c6543de36c5bec9325bbf4a2ad25c", "aa2b82cec652b8f9808a98ac708058a481822210", "fc1f1374e45883aac33092401bed89dc0566de7e", "8a3eaaef13bdaee26142fd2784de07e1d24926ca", "46e5d8f4cd7a49117876258fe70ca902ebba801b", "f8fe1b57347cdcbea755722bf1ae85c4b26f3e5c", "f2d2e07bc55792531291a8b91dccf103148371b9", "de86a9f484addcfee57a6f5a9224aa77bd23345b", "2e16f75194e2c29329b55ea8b82d1ca26ff01fdc", "d0dcef424ab6b32d00bdc66e8d4a61ebe911fff8", "8df57cc014ef7079e32bd7928dfde7e78430789a", "4da00571d3bdca847033a27f0a34000b1b3945e3", "032eda9419ba8cc57b093d4d025555f664349f85", "189619de93e83cdc26e275bc7652463328ab3f5c", "af1fa9d29512fc8f4c07efdf75d3f640567a5262", "87a63c4f8ad387b6555b37b99e003e4054cadfb3", "6a3ec8a8904436020fac8ce7873c0f47abfac17c", "362ba8317aba71c78dafca023be60fb71320381d", "c026c4eeb0d29d2842eb0b34754715e497cb1af3", "0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3", "9729ff547b6882b49898c1f5abb69646edf77e71", "129a6daa54a7334930b6413875b6154acef3922a", "f590d0d04378c3ad6b57e6ceaaccc476267c3a3f", "6665aea27cbe927ba67c1a3b512362aa07a544d0", "c92be69c7b174c1fe6eeae6d7e6f6535420f48ac", "9ae25adfda5e9788e740886080856d12a9f0d95f", "5b5962bdb75c72848c1fb4b34c113ff6101b5a87", "fba88d9030853870d83949bb1baa8f47f1c4c2c2", "c3be8f94eefd5bf984e9bc2e8918630de1729238", "c8a22550297a25dadd283089f009015bc0df5eed", "3dac3d47ed220f010549d78819b27035d1ec6844", "59423a5286d25134a916dc9439ebebe28893aaec", "1d6068631a379adbcff5860ca2311b790df3a70f", "2809ead5d1c8f436f6c761f76d1fc2dfe1977035", "c6b73d64390db1aa492b904ca577913f217950a4", "52d4cdf75cdb593fa449dd6a9afd26c5c9761d66", "b74aacefedefa3f4338e1c5999dbe756ea2ff837", "5cfa8d0384bcdf5dfd7501561c748e69f3a2a747", "b527c241e2fbd88b8ba1617f3b04e21b9c8ea832", "29230bbb447b39b7fc3de7cb34b313cc3afe0504", "8229f2735a0db0ad41f4d7252129311f06959907", "03c970e744cdfaa170fe8f5a188548c68f2bd4f0", "47e4673730082456836e127f6833b20cf102f260", "b5f773d41be527ad5af5ab26e5986c88543d73b9", "0a5ffc55b584da7918c2650f9d8602675d256023", "0b4c4ea4a133b9eab46b217e22bda4d9d13559e6", "b0b9fca75b56a9f0010805c7055e8e677e7b82f3", "75e8c765a51ade8c9a19ac8b7bae6eedc0542d66", "fdceab2fd385f1d546f2a19b8186b325d5499477", "25742cfeedc8c6c4016b0d06f10893d469f62896", "f515aea60852c9c302fcd8645106966eeb11469f", "7a76c45fdaaa2756233d00b4b1f2e3a580df9870", "68f8997b5c6c59028eac099621cbbd583549d35c", "68cf263a17862e4dd3547f7ecc863b2dc53320d8", "7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272", "4cbd8adfdc4d622d9a7dd3676869042f16d073db", "2ad448227b759de8a603fa57d3a038a9bee12785", "8815eadedc677785f5593b90de0bc5bc3ec741ed", "d035c8bef0e0619fd68ab2cc1c9e71dfd730aefe", "0a0028d18578c3ee0c01edd4157d7c1809db30cb", "32ac4e5a8dee203c0b99e15484893fd9d62de43a", "65c2464aeec7b6ea84a05529576d421e19944e15", "c94ae3d1c029a70cabdab906fe1460d84fd42acd", "485e0d178bafa959ac956aa8de6556a2439c6663", "175ecbc1e6204601bc4afb5b5f058244f183b6ff", "2d9e88db5887b7ee3501bd745f671d3acfc268ba", "494f4eb035faac6ac647203d36d0319ed44db244", "b19bebb229d50451602e752435582d340294a896", "87cfd0aa3baa43efdf40fe36452516b89c05bb5e", "5926e1e4ae5dace2c723a9c539c4a17433bda8c6", "74ed90588ff5b2aa65c1b0882f1aa50caf5c2127", "d486ca9d6cc7b91dd5d7682c6e5a6370701b4a62", "fd9feb21b3d1fab470ff82e3f03efce6a0e67a1f", "ebc0fe539f8562bc10181e15f42c4e21816a922c", "635ae8939739bbaeb4d35afd1c1491bcb3f82737", "4a12d2c80ae7a4622bf500400ad6fcff83dfb5de", "3527651a701bb7b16577e40d928825b3e3823f8c", "907311b9631d9dbc9550fe2425569735f495cc8e", "e43cc682453cf3874785584fca813665878adaa7", "899924764816c2c68d15d964a24f4fddba8d3b29", "92facdae51b96e256649ff3dd112ec5cd3feb466", "4f10b81f822091ce2142e33f0578940da1e25ad3", "b65926e1c70037e66150d6669cb6a806e609c98d", "7c0d3882c02c2adac5f587c18b4dd1179c41753c", "54f96a4b675eff2d75d1fcb517fc4a9cd64f6966", "fc31e05ac6d215e34f857f5b6408c72152346d8d", "37992120053b50b2f92eaa1949273bf828a54b50", "f74dc0b52d46fd575cbb8bdf753c821a752525e0", "f7059afb640bf21787542f2163eb7a5c7fd0b687", "336cc68bc266fb4172eb7367ce1ad7b69fcbb763", "022edc074693c52d4e689947bd2def8b2117fa8b", "37b7f55bdbf0a9a61e137199e521c29873f30ced", "07b682ecd645712fd1d1d1ce31c02ad548e3b05e", "c92e36689ef561df726a7ae861d9c166c3934908", "1319275904ef21118a83f04c5ba73787314ec784", "f5c5f5fb2bfd11b65265a7a088b50185bdc7bccd", "a12bc1b9bcd81cc0a8f7209f0538c5f356e5f4d3", "ec0177cfdee435c6522ca4ee8a5f97ac0412472e", "a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f", "cc91001f9d299ad70deb6453d55b2c0b967f8c0d", "d56b65d0f65afdfdc217c880e9c8fdcafb23bfbe", "35842f3b8f11918588687333920b2cf64599d76b", "ee46e391288dd3bc3e71cb47715a83dacb9d2907", "59420fd595ae745ad62c26ae55a754b97170b01f", "fce3d53829b739803a1ef8e80a4d4607ee319581", "91f820e2cb6fb5a8adc83e6065cbdf071aca84bd", "4bcbb221693f45d12f6ea623d6ca068f0bf7ba06", "fb4545782d9df65d484009558e1824538030bbb1", "34b5ec839b377840e2f6558f3a23fdf83263116b", "39d406df1823aad167a429f60ae8f1d3dc4250fa", "23861361973990f5d5106d3099a61480d052c9d8", "48a42303559ea518ba06f54a8cfce4226bb0e77e", "a25ba58eb02ca6d19dfcea11da98ef01cc53ea9e", "5c9cfeb77f7e5040a4ca3775e524247a0bcb73db", "c9aab37b323d9cb2504ad0f20ecc8cfe210c0469", "d0135970308d27b5af9078c6c8faefa5bbc196fa", "0da2a7ee04092645867614db3574cb261f33b6e2", "cef2c6670884729cd339e51e736c98d61ee61c43", "faa750becfb1fb65511130d73b14cd692da07444", "0c663a7224a60488502a937ed3bc2b869260b6c0", "a2b9c998264ab1920ea8f2e07c3590ebb3dc6f35", "dd6b6beba7202deb1ceeb241438fdfd48e88b394", "42e3dac0df30d754c7c7dab9e1bb94990034a90d", "04c2cda00e5536f4b1508cbd80041e9552880e67", "4990c8ff6f12bf62e986cb949dea27fd579cb2a9", "9e453713e7750995587c7fe5233f70cb63da8047", "026fd26cf0fc1d1bd80d7e265058c21c15e60f79", "9f1be5e5b1b87792a5a5c34f3a755cca23e3e517", "d78d2718047b8a5f9167d697d9acad99cfb6daf1", "526ce79587f9098ee6c153424ead74e7fbf02a80", "c4943c2c7334f3a1e7ee380de65d6903803685ff", "360d606cfe31daa9955fc098afa2ab4230127d7e", "f70be41cac83bb02cee9cbdecb1cffeba7250e89", "a1c6f88330762cc97f26585c124c6b3ac791eb89", "2fa4f66a7c3846a189ea1f962592d7c20d9683b1", "200ab001770a39d5465c661d0078f4d9410f343c", "4602bbec65b0c718d5887fdf2381fb7cee77a64d", "07d249512522ae946089460c086b98205bcd17f3", "3ae65761e3d4581f3c999d192dc0d4271e4f455e", "308f56c37c930c0b0e72b40c84a93b8486e40ea3", "3859d584d3fb794c2b74b42f0f195d16ce8e3820", "55436c98bc60a18472bcab364386d43c0841b651", "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "472b22afde0446d85f4ea096510a9d2f342ab7c7", "c49a71015d869c1c438ca7308ec7c04d633fc065", "1c99a23368fc96ba3ca71e4bcaec8107da59ab87", "5ac02cd4572b93e5245d7876e446d70df4e01bb5", "9f949f6e40e604ef05ed690ad732a2f6625997b1", "88a9b3043a951c622667dcd5f70acd2c850b3950", "1862bfca2f105fddfc79941c90baea7db45b8b16", "1b2297ba37fece76568c8b53369e6fd34d63175a", "2ba5e4c421b1413139e4bc5d935d6d48cc753757", "25366ca0d124ca6222c7edf72681943969055024", "c0b372d1a6515ba6ddd2f1661bcd0c3bce3b5fa5", "3901489fd02e47c1f4b16b55f6d27192be5dc652", "856c09ab10efbc8c61a84a951746654d947370f3", "84c8b29103480cf6f2b93e2fd4225b0d9d535ed6", "d6c1e14e8bea932f821352ea9e33928129f7d065", "f0d59dedba3b38c1c2d0fb997dc2fcf901c353d0", "16727cd69372019267589a27574147e8cf3b25f8", "7c62f5e4a62758f44bd98f087f92b6b6b1f2043b", "9fe55487c40983b1da71c073104cdc2d6f5cc7bf", "87747b6a1bff0944fc3e4891de9c3ba8868aef66", "669ae4a3a21b5800829ac9ee7e780fa42f9bc5ad", "ddf37df62a4f266906d8e361deb2be38b0bce1a2", "7e526c32a9ba12d3aeb69c70ee38b178ba203d6e", "37347e4c1b35196761fc1620e451738f880f0392", "0608313884bea3c286d6cf95ccf9bbff4c77c9f5", "385e45a0b9e88929ffe8a341c886a6de41d372f3", "9f61c20ab97351ee7de898f04af5d8e278564952", "a470a81f989d5354239f1044c90e07b78c6beed7", "656e7c7739e3f334d4f275c71499485501aabc44", "471b72ca18e3ca0c3d5edb8f28ab8eca596f78e0", "398246ac90a7abc2c0f319f604017062c4593e58", "0eb668a7542057bdda8296f856a91352dcea28e7", "c2d92e8ac031295a561ff20057424bfbde845988", "f015cb3f5ecf61e5f6e597bdc4d39351f9c392e1", "1507b1b81665b81f799b6cef530b9fbac2ee3685", "488e475eeb3bb39a145f23ede197cd3620f1d98a", "943262361be04747aba71d45fb4854cf72019851", "9b678aa28facf4f90081d41c2c484c6addddb86d", "778c9f88839eb26129427e1b8633caa4bd4d275e", "8fbc11aebd2702df7837fca20a4ac04981ada736", "bc3506336830821b55d5b2a51efc562699102ce5", "bf4f76c3da8a46783dfd2b72651e2300901ced25", "c324986c8599fee2f6da7b59751e89ed9624afa3", "ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d", "0834dff6e1d37ecb36137e019f8e2c933d5e74f6", "1f35f0400d6d112e3b27231d0d9241258efd782d", "2c375f93c0d0db944ea3ee5e5b4428c5b647f3fa", "c52aa6b9c7b89782f2316ce8ef2156fa06a3696d", "9a6d6049d4a4a1b87f6b78a644d3828a84a27526", "5a74e0b78e6ac5ac32d6c3b7a20c807d57c4c4d1", "5f6ac935f13aa4913abcca424e226b6903d50da6", "0d232056ee26b5da9b6b0658be12053a76484d2b", "3445e917f0712be391591442bfa1bca82b7ebd1a", "8d007d8d75cb84e3350889ad5e1cc6520688e65e", "4b152bd834840fd0c01b9af8c68c6518d0e18e4b", "c9974b7d35d9425faf8d31ede581c605f4f0abc1", "35c0220ab8a8281129a00ac32ef2f488fb562eb7", "236171d2c673194045b4c2e2837ddcc4a2041b8a", "9ba138e1a2f477e8256b38964a699a7ab182f221", "81542ef1b2e441e3b39f71ca12d49cee715db21e", "16c3f99f8f48d4ccb71b782f79601d5efeab8461", "e837fe3e1d97200717e22fb26ec2c545119a5e42", "09a6261c3334471bb0bc1a173aff672afe963ae3", "31697737707d7f661cbc6785b76cf9a79fee3ccd", "8150f267cd2852f27639d4d85c3a311360346c88", "a7d804aca2243843df383a7f9e312c74980d6d9d", "8627248c6e3c3e316e3964d12e0a44e23aa969f3", "766039c203f76009c5efabe7b24914cc66fe117f", "d737048ceaa81eb59ef2e4cebe2faffe1f19da8f", "6c62330cbd60f2cb6cb80b920104d0df3116cb3f", "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "8accffd31d4969ef29cc8496b1628b4b3164d53f", "2ad2af8e3bdeb0302de07defc3fec9b387414a27", "40b193d7fe51bd2ca5240d280a0fd5fe1dd6eb0e", "221debbd7878ed303eaa4666f8df04a48e4c5070", "0c2052d43883214e5bbf7ba4a73e5fd89bda63a1", "41367bca49675d0dd078dcd9a140b92d05379900", "8c99f35d6c3851513adb2c2d5c385c989879e05b", "16e2e9e4741795c004d15e95532b07943d3a3242", "01ece1dd9a0a2a7289d791625c6c7446d38584e7", "1f8d539885f78e1a9d1314e952f3099e71676a5b", "89a7e62db09ff62355f67fe706fa3d15df3b4299", "550edcdc27aff4e7ea8807356a265a0031434a49", "541f1436c8ffef1118a0121088584ddbfd3a0a8a", "ab44a7585b45e72affe1746fc302baccd6412969", "3eb298bfcc33f6e40bfd2e8788b13b256d2c0391", "a1bbe8b9eab55cdf58746fbf790eeaf626878615", "560b3895591d7b1631122b995a5c20889b1abd3d", "273dc39c3e7a18aac3cbd5f2db93969e9cc7613f", "cd0a04c0af9b6c523884415ba54bff370fd02fab", "1d2dab7790303bbe7894d0ff08ecf87d57b1fbca", "4238ce9152b02b5ae07e8e42074d1ab7462ac652", "684f87f29176db22743b327edd070ce366a8cf76", "6c9ed3378dd53a5ad9e30613ba2e1ef363bd1f9d", "37a892395061206b58127f04fee0e4d2db33803a", "398bb5cb5738789262d09a8577146723644cff58", "d28c12e270a06e977b59194cc6564787c87caa7e", "f3b4ed52992d8a016035e2da1609e534036dbefc", "3b9ee03255eb5a0040676eead1767db431e83562", "4178b559c2381d88bd81a0e73874f1e3261e17e9", "12c6f3ae8f20a1473a89b9cbb82d0f02275ea62b", "34bb062432bb5a95f0cefae4dcf9936b850e9c39", "176a3e9e118712251124c1347516a92d5e315297", "15605634feb1a5770182a8f2c3515daf102ed463", "e3c420b29b8590442decd330ef70494c2209f149", "1dbcb8998f2527df4f8cf7750e61124fa5f6a6f7", "8333f252d35a17752587734d4d777fa6bea79f0b", "f32db58cbb8319eb8f2cfa2720c810f8410eb569", "2fbe4ffef775bb9c2cea535a07ecd48ef30adcaf", "29963f39e4bfd074d30a94b5150b2bd0afb4ee16", "452c9b3a94897ac40b2dedccf2c6b9b358e5631a", "6066d0a5f1123b9e158185113c1e18c4687610c4", "1329206dbdb0a2b9e23102e1340c17bd2b2adcf5", "843d1955cdff66f76cf4ad410eb54afe96c05a08", "0569d7d3d8f96140adc8ec5a6016fdc97e7ef8aa", "2a6c7d5aa087233ff8a09bdaa34d5f76f3330a4f", "11f5dd9f1cb14d14a48499d05907ac05a20828e9", "260aed27abfe751b3d90aad9c0805d35c359ebd5", "2177f2a85f2f7b4b841c7a01bc74499005104aad", "bc843c35530e38396e8ba55b8891dbe8324054a8", "d8ce4c55d04b93bdb94c1d0427cfe40431bef941", "8e6526b46a52a18028336a8d026e9d466aa12edf", "375993fd5f94c7b02169ff0d71a74d1b84262dfc", "fafe1b7a5084e7294fa29a69abf4c0440bd523fe", "13ccce0e6fdf7831d07d588042d12e04e772dcff", "e0fa145e17fc1e530e011a9f724b4b4aa337bb4a", "25ae83767c926898047bbc50971b5b11de34e12a", "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "0014a057ebdeca672b1cdee8104cca4dc928ef3e", "0cf4105ec11fb5846e5ea1b9dea11f8ba16e391f", "f367feef8f486966916bd0769de8c7b5a59250b1", "1601ac8e682622f489b4a18792025c0843d47b86", "ae9efe3990ddb6169286f50ee4325ffb0b3dcfa7", "747dce91747014085c719ad9070538d31b8f5ed3", "1e46af829a955dc5ca9c53f94eb416bcd9e2a2ce", "8f1ac3c8fe6bcb1da2cdef60bc218ba1e264074f", "1fd258d385045340249dcb4a7c0dbc27336bca5a", "d137c5a78a84efb75cadf3516069445510ba9521", "0f18ce082b7dba524759cf3fbc21bfd1e586dea3", "38192f06ac19172299ab543483d2e0eca2f889c0", "284b4ae707d6f6fdee850d3960f54178be6109f0", "a1b4c98907c0c08671e69ebaaca6315000d5099c", "9093a9c9275dee14c2d28c9ae2dd67f8cd9a4863", "ac6c9623c063bfbdb87097e1f2e437ad7c5e1b35", "03af78f067ed1f6ea0108a4d2ab7120e7ef852ac", "50399793a5334654dedcea635cad291dda77de96", "09ff849e7e22f0ca2f46347ddfd8596f34d8712b", "6c6150dafaa4ca1d2825969548bf8a06d87723a6", "ea086c5b91972d14aa63328237e1c94ee19b8c5e", "9f97bec3ba3071b41609f8f4590b8635116d7e9f", "86e5a0806329909f6bebf4af73155be2ff185cac", "e1d726d812554f2b2b92cac3a4d2bec678969368", "2fe0555f2b92a81992247519cb8fdc047069e2b0", "04f4679765d2f71576dd77c1b00a2fd92e5c6da4", "b0e7c177084be76fb73df3c4bcf1846676a2d615", "3af16b0c1265cc9c8969f9c16ce65185297a2bfc", "a89eae439dfa7cb727bd5193a5130ae6afcd42e8", "f7a0ba33e13de1095258bf58390bcaeb60516877", "50d2fa4e3a4e961cf35cef6d11ea745f9d1b3839", "8ce5425f20f2c9e27d954a7d86503b9a0a33c34c", "edde81b2bdd61bd757b71a7b3839b6fef81f4be4", "a9a75b2ff6c68aeb2837a4d9ab3a6e8e8275c81b", "0cdac46ec42be2d81f64ec4ee53d88be43290d52", "08fe9658c086b842980e86c66bde3cef95bb6bec", "4bfce41cc72be315770861a15e467aa027d91641", "8a609abea6d8d71a4547426d8ba858c955a2ef5d", "4e613c9342d6e90f7af5fd3f246c6d82a33fe98d", "514fdf2152dda3a39fc05eb6e1c80314837d96a2", "d2f0b7392be6ec4d753c9414d57bfc18dcc407a0", "8fa3478aaf8e1f94e849d7ffbd12146946badaba", "184e4a62fc9c3c8ea8948aceebb1debe0b5fc54a", "fc3215537899eee966951a3586d7b4fac2bb07cc", "7249b263d0a84d2d9d03f2f7b378778d129f9af9", "5782d17ad87262739d69dcbe76cadfa881179a91", "9230b4d0b2460057ce927fc3a82186a806ce3ec3", "86be6ccb0d7e382d8c04d8cd7b99a17867e4f555", "e02d8652209fb722b73a37339817cf9c396be95c", "2cc3bd2ee340ee096726c9c4c9e7d20031723c6d", "05b603d7c6004de3c028e40b4434804f752290b9", "544fd5065c0f4f6b0a9ba1805785b5ef3cd68231", "32a54bec72f62407084289dfc1b6df4c9a7ce1cf", "8dc697e79cd23c2eda6a5d483f2e5aaa4eec4426", "828cfe547a2c9719dea68698dfa168b0bdd22aed", "53df7d12472ee0c466a2bb59c4a17274858345de", "7411761e789ccb1da80984472f5df5cb084e8ba3", "dab76d62013d47c084e55a14af4843265067e0d0", "23bdd2d82068419bf4923e6a0198fc0fa4468807", "541d69fdf97e5ded611ad0dd46f62bb9d2e19a51", "c383d55c717caaef3655be23fb051a2168e14ca2", "a3ebacd8bcbc7ddbd5753935496e22a0f74dcf7b", "6dfbb5801aab21dc3c0b1825db028bb617477446", "100da509d4fa74afc6e86a49352751d365fceee5", "c4136792e590ebbd7c490d9c0e0feec0204c00f8", "1fb54581120c38528984a657b1da6c24679dbea6", "c5595be9cc9dcd14dc4369d3f6089a83cfcdc968", "0d21472dbf20d4c1bd48a15267b4a59eff80e309", "0862940a255d980d46ef041ab20f153276f96214", "65ef33636f07d4d1aa1b22a5b67f1f402d6a5900", "1d55edf77c5f2f3607d5f30419b4c871fd6b07a6", "02e774dd585c35a00a2e2d30c1b9c9079f03bf3d", "544829d3b2e878c8f28fae5aa0c226e65ba6242a", "59deea5077fb537f8d7258c740c4b9a5cf1f4b8e", "40c97ba0f8c50cae18151901c0ea2504bba4e79b", "76615d7bc69ef0e50338a8c3e59c75d361ef0db4", "b4a4e93343e778d0b86c56132a63aceaa70911f7", "723f879b93097c22ffa4fe6b587d3a070a67136b", "484708cc3bd4aaff0ccf166f6ead108f0842a04e", "71f36c8e17a5c080fab31fce1ffea9551fc49e47", "97486b088729a87865d08daf56072add84db3ec6", "a9e99d6efadcf5d8f67949c5fd4e1f1c024868de", "6222bf495ef5adda051e986a82d7b7eea4880ece", "6c79992e7dedd67380b1f107e9ba012b77eb8071", "4459593cf12181988b8cec7e43f834f6831826cc", "1ab56eb6128da34027242b1314e51b9b18b960db", "47e388dcd33feda1dadac82cd60fd7f7fb599594", "085fce160b0fa279597bf23b518c56c735d9e7ff", "200f68f899f0bf72dd2c49ba2b4a5027e0291531", "a754989741afb89e588b52de375054dffbeda39d", "32202387d048e40fe692c892692f3c93f29f6d29", "c2dfdc01a39d193e017531bdc2abdbdefbb2ab33", "b13e77dd6b6891347d977f011e03ef2c51008fd8", "935758cbc31ef82bd248b6d64be4e0050f191036", "941a2710ed3cbdccb869bd6327bafb8adf730818", "0a26477bd1e302219a065eea16495566ead2cede", "28bdaf9b7fc5af73482e324d45acf91722f07340", "29b3be93a60bbc5fe842826030853f99753b08bd", "6b9be95acc206c63c23c931cb0e102f1060a0bcd", "eda8796530fd9ba23b39d50cf349fee01ccee144", "2854f8c3dc28654067e721246b611eee872c0a57", "20e5b077f05784a1d3aac5b281934069475cccfb", "0e62b741d4421b284cc6a27cea0b1e95b799882e", "8ebf1e173eedf8b3e559cb397c504383ee553e70", "e79bfb8dc4ebbdeb971545bd31ffc1392ea0ad4c", "536b5739c2162301bff19730a65bfbe8b86179b6", "27aadf6e7441bf40675874df1cf4bb7e2dffdd9e", "44482010dbd63fba4f7457cbdb7cf61e44c78617", "50fbd28cde388656afbd48812830d6bc7e71be2f", "81ebda23819ed215c83435bd861e26483b56f5c5", "ec7d418ddf95d231b2afc70ed8c94d0764abec61", "d87123ba9ee9920809f9e52ef576892f206853e2", "485c0aa6a58ba7f1c14e06f5b49679a441ac07a2", "621cff3d984455cc75e8ec94574af107ebfdb982", "5a0b50fcc4f444e6b89aeb312eca37c9d6e2bb75", "98126d18be648640fc3cfeb7ffc640a2ec1d5f6f", "3960d8eef886562df7e9eb00e71e48b4a1175721", "3efb04a9847284680b48214855eb0a962efa5c7b", "a6f4d114dae7664a5161a21fc2bdc76c86a2d69b", "de7be25d3e87a20fc9ce5bf90a60f175e64f75fd", "b00796447d670f9413e831ffb4ed548a380816a2", "185360fe1d024a3313042805ee201a75eac50131", "5250a8bbbaa9dcd25f6b2a062b7d1f3ee7406c74", "0e8defaafbbde9031fb2942eccaf980b2f20f04e", "8a0538eb80b5d41c0e5991aceeef47db01603033", "29a23b9bf42a862679ccf5fcbf7607f13b15ad9b", "7809e6d99147bc4a5a8f1379b39354b3e65ccebb", "a27c7afac5a34141ec5415defed6d4d85325230a", "b759936982d6fb25c55c98955f6955582bdaeb27", "5b70beeadc31ac8421bd9fe54fbe696b90eba1cf", "8bf4f45460536852c5f4189de009d0d1bff3ccde", "2431eeb2df8877d78901fa37a091a23dc207c2b2", "538c6000369594084b122c37b3219ad15b58cb37", "682e889fdfa43278d616d3fe18cec3126a4382a5", "245130ac792531ca9981f9c5907190eac19ebb50", "895d366c5d9c544661cb1de060c5c6b8a2990b87", "7e467f75d9c331ccc3794cef0f4ae8dafe80cee3", "12692fbe915e6bb1c80733519371bbb90ae07539", "a30d5b636086d80791578cbd0e0b02d87ab42d27", "87cab840df202609bfcfb5a9ee3293e61c7c85db", "2d34187db078c55bbd93e896d8dbfa860c87bae4", "0c3c469e46668ea2c38a6de610d675975f337522", "29c1f733a80c1e07acfdd228b7bcfb136c1dff98", "7d81257d709c0fceebd38ed76fbaa137ff2e32ed", "e4501da190012623d5048d57b7e650de27643b8d", "25ed9bd6c5febac832f3d68b96123e6ba013df83", "516a014f4654c90a22ae3d363b6e80bda68a084d", "6009f5c357a8b972c5eaafd104f03fde185568eb", "366595171c9f4696ec5eef7c3686114fd3f116ad", "2c564f5241b0905baafc3677e7ca15c27fd2c6e7", "f95004e9a61777a0c4fe6014acb9bc5d63024af0", "5d33a10752af9ea30993139ac6e3a323992a5831", "1486f2e32deac2b61d37b52e48d07fcd5208a164", "9612fd66fcd3902bc267a62c146398eb8d30830e", "36b9faf0d6c4c6296193b8d5d7833624a181624c", "c98b13871a3bc767df0bdd51ff00c5254ede8b22", "13ab059e6b592ca7bcb14337316ec1ac14aa5c5a", "7c9fc1a61359a07cba839945360b1fb617a5af0e", "f6ba16aee3c40b69dc88c947ae59811104b1bd49", "0d0199e48d22ff4b80c983e3b28532f908467da7", "acdba6bd93cbfff78c5cb03cff85b70390f77f85", "0485e96bb0c1276fe2a27271b939b6e67997acfc", "a764a07699f59ef5277730c20af881585371be4f", "c693c578d783323d130d642bd04d391aac7e8f81", "de6aacc6fc9a706e7a821651951a94634dc3b4f9", "3a818a5fe2c36ff29212b4da9f4fba3280dfd497", "4af50ecb45709829a840a75ddc84f56f288c5a64", "2a259fd1b4442a71cd127afac417a650ffc379d9", "12fe91ab616b797e22543ae6c2afa7866dbc9a49", "c666aea88c48b287080de410d4830f64f0b5ca2a", "37f075b425b5cabc9de37400792b87520f8ef226", "1113b4fcf644616e2587eacead2bca4b794ac47d", "197f945b66995e4d006497808586f828f8a88a86", "97e7810f21a145caddc7e5168b59f0ab8894f669", "14819d286c9b46c8e57c7e809db879f9e1451226", "afd9802722bde66eda6c04ff608fffaa4e210435", "0d538084f664b4b7c0e11899d08da31aead87c32", "a10f734e30d8dcb8506c9ea5b1074e6c668904e2", "1362d0680de25838c19d49baec3077ade76108df", "4eb2d6699c17cebad1ccf58014cab271a56032a0", "db35faccd8d9fcf25c363b4781cb50dbd76649b4", "271207db1eeca3f9c528abf529d62fb6d41156b8", "29b96e41948e35a5bc4a9e7ae978808bc5b0c841", "6226f2ea345f5f4716ac4ddca6715a47162d5b92", "1b55a0ad1d4738a7d46ed787542991d4a05ae27e", "92fda647757ef9e0691fee7195bac9c90bbc0f46", "0f82a869a80b6114bd16437dbf703bcae84da7b9", "fa64163eb54c595d1d7041b2394e9029202f4da4", "30962cf6f47396df88bf1c8827ebda8f0a6ff516", "b74d44d8c26750ddee1f6a44067a271097993798", "04aca8c96971acce8ac4303bf514e83c87e692ce", "47d8d8ead70e26eb791c4dea5fe1a4d666ee2462", "29f4ac49fbd6ddc82b1bb697820100f50fa98ab6", "53ee5798cc8224db919a957594ebd72fdac60e2f", "1f00863b64688414e688397e4bfaa69c82d36881", "22dff8fa7cc57f7b4f2903c6fbf6ffa7f1bea0d7", "1f4aa1d14bb99e152dd1c7ac3cfd5afa8f6a012f", "73acee80dbcf4ed119d863e4ad6c7bf1bcc542ca", "314e3cd001a3aa8e25378b915cc3d9a8125e31f8", "6b063f5119e7eee6dde3b2e6c98e28974f0b0f7f", "3fea9e8599fb75f03089d3402f7ae8e868e2a7a8", "7cf0e702d0682b12af38e8a478ffa6e7d8d6eaef", "2a1d3e1baf323e61da517a054b9571559815a651", "6a64c83a016e4831ae7beb9e0df8ab7ff514bf2e", "9746186205ed5e559d17e87d7ede9e3dd3922e54", "2c38081b653662b0e57745bb713db1b822714875", "19d4379e424e7166537442bfae918b55ff12e722", "f6248644435c918f1b27d98bb29033376d3bd6d8", "a705b6b6de4ed62891099cbe5734fb7d3d3044cc", "d593627af915e8112b4df24101b3eabfdbdd68ac", "6b02d73f097d745e58bb99a880e559b78c4594a1", "88cc7220be4ca882c129722a9a4e3ec420ece99c", "b3fa62a7028578be8d1f8eb0877c762a4d6639c1", "03701e66eda54d5ab1dc36a3a6d165389be0ce79", "59b4c4e503af54bd9feb074f0a8e8aacf2a3a6ab", "fb52ebf6ffefb54f4a1c587c96cd8ea122cc0d3a", "7e81065b76e8a1971c8575106faf34296f8bb54c", "5d3ee3c16d073a99c9f0d42174b0c7d2f1f097e2", "6eb2972abed9507e21b959ba7754b599a7af41fb", "d17a954a3d04ac8f887ec01fcadc8aa42a9cff01", "577b62afca4d5e9092228f20098da5df35ad3cdd", "e7166221e369d25b9233a3b48643e9ddf37ef313", "4ed6c7740ba93d75345397ef043f35c0562fb0fd", "78688698a5137e42062d08da586aa9dea86ebf90", "41f8477a6be9cd992a674d84062108c68b7a9520", "0314e3dc7064370a5dce74c20d39d98f55308abc", "cd58d7f2672fedf71d4ac6f7fcd71621612b2d25", "0ef99317c2ab67923c1657c05f2eba5a280a54eb", "b2e1b3b2342d29b1abbe92caffca703622ee4274", "b3cbbcf67aea4ae28a01bdc5f0c75580f869d82b", "24cce97c3fe3c3fc21f1225e4a9f6c1e736e6bb9", "8af21097f30eaaca67e8623bca6cb899e3a2c2a8", "3e4a54adb53d69984bb1e113eb1a8184be4abe99", "45467c70c1857b68902acebe6086d8d455f69f1d", "d69bd38f1c92afff7d14eb6f3cfed30f76ea2721", "c8df719d8ab2a7df6eb16378ebefd3caaa25e0d8", "587b607a176588b4646bcdb3d60b6204e98806fe", "a7b9fa67d19dff3066e96f7e37f7919f16c0a438", "1be99868a0674716eda26d899145a7ee508b2d13", "c3c7caee16dc77e5caf07890a2973367670b3511", "5c31c8b75469336cc89373067022af810f4eb19e", "4a9051db6f86beb7734a32e36f64aefcf9ff5ea3", "c3b85c36a94d25c8b3a46acb9a990c3b98a775bf", "ca29ac2fcfa409f0c30ac4f4f50650e71d54b960", "3342018e8defb402896d2133cda0417e49f1e9aa", "d93de169020b6b1698717d598d84c562534eaa00", "3bf0d20c2eb75076bff255884635c2fe3ffc98d2", "a5fdfd7e04f62ad04269c5fa08024c9143dc2473", "c9ca18d217ce4bc134e4dcf08068d0ec6d60cc10", "d1318b84c082befd4eb9de651fd524de5378807d", "9b69ea8034a24db2bb1a1eef73ec11b6367d2f2e", "fa4e1906e120c07116858f059c17abfbfa7f145b", "7c4c284ed998da31aa5765c488fc21c00d62764a", "98354134962592250a3ddbccad5cfb6733a76c9b", "261b3869bf60d4049acaf251f9015ff644299e45", "0342029ad13c337ef09b1413229a8945c0aebdd9", "17e974f463ae01c518ffb1f77852b59dd8f78b56", "613f21a9f471a26e496a18ab7484558df9803136", "1d97735bb0f0434dde552a96e1844b064af08f62", "6dbb20ed77d3901da5fa9f57d258c134d33a2e03", "d950c5b7be9e46cba46f6811845c9f45189e900c", "fc798314994bf94d1cde8d615ba4d5e61b6268b6", "66884ce29c44dc1dcf1c4a40180cd3baacceaabe", "7ea5867554c865b423d73571577f37d0560b7be2", "9ded7bd7ee896de568cbb0281ec553c21de93131", "4e061a302816f5890a621eb278c6efa6e37d7e2f", "2b4512097cb0056886f2d4d2ca7f5b034a647237", "4e626b2502ee042cf4d7425a8e7a228789b23856", "93971a49ef6cc88a139420349a1dfd85fb5d3f5c", "bd58a9d09cbf213d846f7580044b74b0efda8322", "6e53acae2e9909affde44e339d8db5fcda42aac7", "4b04247c7f22410681b6aab053d9655cf7f3f888", "612215d2a81b254e92e5632e144c647e52568efc", "3ba80d94cd19f24566b454c4a82a1e499a029158", "289f58b43794394cd312944147b80986ed5d7bef", "6bd3a97eab2cf35050e722011fdf3e862a9158cb", "d4a9db51512821094e67daa9873f0ac0aba1a98c", "1381c0adc5b9693394b0ac8f9e7ce90fb8162f08", "9a61efd9923de107efd3487d6538855c62926a6e", "ec0678aa95384e008377600195d7b9a59b55da7f", "26e4d80c4ef601b739904c5acc1a682dbc049af0", "718d3d6ca77d1999efafd171ac4b6056312035d8", "cafaff52000effaa671261e80869be94ebef0d4c", "c55501ff100d3cf416ca4bb3e20309387e3df3be", "888e48a726840bc598399ee47033383c43faf68c", "77c53ec6ea448db4dad586e002a395c4a47ecf66", "cf130b2e858d162f8dc45301a1b205c0c19ca8b3", "3ee425f59da3c8cb42bbfbc2c80122b767eece5e", "3a280773e130abd44f44eb3181ea050e4e5b64f0", "f05358fb80283f0f242215d459367bddce810cd0", "5c562ed8d58522d28ac2d749de0bce8de07c1733", "ad0dc6e623c7cdf5a0216ac9a9bc0e5d9a255fe4", "49b349021c958772926851ee7b704c8839977e28", "d6d619df6c853b04bb5369f5785dc5da5091f4b6", "c45a6a816c32d4041f9be8b937fa92d6dddfe476", "cb2b91bfb8cc57748781869ae8395b640829e665", "e3906b524a18cfa329c20cc422de78ed66d05f01", "f190a94b21e7606065d276fd5c6ad00c673e9d3d", "1836eb6b095f868a91364a4113cdd9a94fdbfadd", "3a4a908350d856577ac48caec10c0809e8396acf", "740f968be0becd9f16896cccce0e45a69e605146", "c5794039b20e38e60bf613239706517f538137c3", "42101cece94dcc37f363a38ce701d5f6276dca78", "7e49b04fa295259b2859a4c097edd7b233d24f02", "e3ea5a142714d1701c12b773b2587f876e112e57", "5bdd9f807eec399bb42972a33b83afc8b607c05c", "1548fdfe07c1e7d93389e1226257ce5499f304e8", "a172653d4559ca848b9a85f9ef5230bc794b3c3c", "c9f3a5fe33782dd486cb32d9667fba0514711f04", "f090e821921715521eff2ff474dfa65449114df0", "607850dc8e640c25f027f2eee202dee5605cf27c", "d61e794ec22a4d4882181da17316438b5b24890f", "d2b37d57b0326bfab3c5d6f9e2ec02f8b3f8fbba", "6ec9d179badd083ef7d64863f0ba36b38a2eef15", "1232b992530bff6a8b209d7d71793c343ede0664", "7f43733b4126bcacb3f394cadeb82d9fb5966634", "b9f7c83a5fe1db65f50b2add2a09946ca5e2b434", "2205ba259d725ac0e0ed271d541d61a669027893", "b68dfa8723be662e6af76bef159ed929bf8a1a2f", "efe49fcee6aad2489589a3b6dfddeae7730e0798", "afb834494f041e5db01a7ba266c4da1d2edfb593", "452955c4e448b5f5baa1522c0002d6f192166851", "e8ef27f07f8709ea66acaf8b30e858750fdb7d02", "64195b78fd4f5b9aeb5cceeb060bc9821e63136c", "fade0a2f9605905a17c67c912b37db1e82de6e73", "05a9ed5ca9c0167db21b7926ffe4a3ce31dfa123", "6290c85a9ae8b6c89151a5f8dbd678a514054674", "ece76035af582c2e5ba321fd22d021d948f93e7a", "e96c45f0809189a5fcf208f508205c6ffc3d8684", "bab88235a30e179a6804f506004468aa8c28ce4f", "080936799b4ada10785f0e227a2d10b054473127", "61c2648798014363d8c2c4478ebd09e2165e1484", "188951263d3140b3b5f5579e7a745317356e75ce", "26a9447fd836c98077d512b224c2c8771b7806d9", "2d9e1c79e14a3ec3a4cc5e177c2d5df221206996", "402979eccaf4580a57843521fef46a0c46a53b51", "190d8bd39c50b37b27b17ac1213e6dde105b21b8", "3d0379688518cc0e8f896e30815d0b5e8452d4cd", "236a99cc6364661e855cc1585ed166bb06cd30b1", "6348357fecf5324038f4ff5f14d9196f4659c74b", "318df1761d01ebafc955eca683392dc98a5056d0", "2c8511f05a9d1dc4a1da02945a9126be03999a44", "95d1533866f8ab59b7709c2106df013faa9a0b43", "96881897605eb3d9575c5379b29083b793a24bd2", "363913a335053c837d5fc279032d28c418dda1dc", "e472ab9005af1beb1e0d4a11d83e552c89b4cec2", "342bc03235e8a10848cbb315f2d9d14eb0a9ef78", "98b1e59c32c1e3c93fba0346e25892ed6904f486", "b4616157d8f602bedf7b4f69db73f6b28a08bf9e", "db995bcf42e4f4952b83b40339c2858345f227be", "9f45c026c7ef06104f229994729dc3d844358f11", "6e261b9e539ecd03d76063f893d59c6eafb6ed43", "1a6300ce4fb5eb593419a92d75ee4a4120d1c58f", "4002fc29854f79ce19bc1694194dd526ebacd17b", "902114feaf33deac209225c210bbdecbd9ef33b1", "228ee338b5d49ce25b144af6a70baaab42f32811", "e16311bf88192e1588826984d6761f7f26efe542", "84dcd7d08f61fb1f8996bf92801589e07fb18965", "f4d71167a32268281dcb8794ae1f91556b01ee38", "4c22a9f6f3f2a6071327a1fa1f6fdc7ffd06987c", "ecd1d1ee4090c378f7be78331e87f1c1e836b9f1", "961939e96eed6620b1752721ab520745ac5329c6", "01266af6b6cc067ba8f6c507b3a194a3ce7e87e4", "dbb065aa2a6e6804e0ab8aee27314a6f68c4cde1", "92017bf2df5f6532d39c624ea209f37bb6728097", "4ec46573d2e9551cf9ec956b12df356a0cc43447", "004d5491f673cd76150f43b0a0429214f5bfd823", "eb157f3592c7bbaf0609eab4e66c4ad9987fe802", "fc2f12bacd3714c02a52ba183309d1f5dd8b292e", "695f56d6b1b294d1691c93d86a23e77016a42720", "c7115255ba4b12b15d9f91cde8fd3a15b17cf54e", "cfdfe6ac376e31184178250b169de50e726a449f", "5cead7ba087ebe7314f96d875f3d3dbb8dbed1c7", "6b0805ecfb69a70e5fd3ab1362289944c6f3ad42", "c362698bcaccd6c78a8073c394781389a8ea2a86", "bd67c08fae1d32f605585b0f375ad17c9695c9bd", "43167658228d59b81d48fce14bba4ae616b866ec", "69506b4e071fc3313ade7c50f410bfc56d1296a7", "04f67ecdae235680db5006a02d5cbc153921a98b", "aec46facf3131a5be4fc23db4ebfb5514e904ae3", "fd1b917476b114919de0ae1b6a4b96a52a410c20", "ec729a62c32e4a4a851c9c314140aac285b23a2a", "875f0e2b2a35bbc4f5e45baa52ef078f889b9504", "462fe97ce53e58c8e2cb01c925b46bcf3bb53eda", "1ae21cb7981e7b4da08a83b1faefe38d817fbb18", "2d35a07c4fa03d78d5b622ab703ea44850de8d39", "c6588319e03d48f35b0aac0d429f700745e452e9", "19b03e7f37e4bc2f049ba57056f6e687e52e1f5c", "074af31bd9caa61fea3c4216731420bd7c08b96a", "839a359df925e6b159c8402bc81c39790a26febb", "43dbc4612303879bdd67efcee549196db500705c", "8f1758a6b6e01f6a866c1a1302e20886796da390", "959f28afa9502099cf0e8ede036ec2e19e4e5232", "e3192a431fd83431adc99906cb7ba40337527b74", "9530be236c0bf9c32d39ff35571a496cbd266e01", "43fe65803439c1953f8baef7ca0654677182defd", "9d5de431f8e643ed17b83e1930c003d1eb9218f7", "59206fbc9743a9d34be473188be3e861a30f2edc", "ad9cf6eb41dcd61e4ee2844721fa4361a81f055d", "220b815229ac5557b3360f96b3afd9453635088d", "a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0", "fd34b7226a18da0b155c60c1126bcc23d7696013", "3650375acaed9b4b58e90065a9dbde0087f52524", "617159ad6dfbadd396751058a1bb79e663b44a52", "ec3a4dadb9878769d5396483f6e04d9e0db2417d", "3eebe8a5adaa49e54ea909b4e2aeb436025c84d5", "69e1ccc3f9ac8410135cdd694135460440503d91", "fc2b072449663ec6065a32dece8eb8825c982119", "f24e379e942e134d41c4acec444ecf02b9d0d3a9", "347601254b7d760d6650c59722e8b1f1e471f393", "5044875556bd3c66927e17cc720c0bd04fe36faa", "654fc4c01d00891e10d28d0e0bd5b9ad76823d64", "0cc2fc148eef46c1141edd276d903853052fc19d", "753ed4c701296fa530ae8f824a80a50900a386a8", "cd4252d1f0a124dcc91af28f527ad1fa7be3a195", "6345842ec06145ac397b8b46d5f64113162a9268", "2744e6d526b8f2c1b297ac2d2458aaa08b0cda11", "2632bdc0add112b4ced6cc5aeb7ee37eb3d10db2", "9d18904e73c71f6b54dc13aa622ca0f7844d9503", "297c27c74e5cc731b5bd1ad95726b4192e3b902d", "0e151a26edaffc23f8f8224a0d132e2aa50644b0", "b17197921cfd6e06da85881a03abb2da2608b0c7", "ca3b5c52481b0a7fbe4f8a753376ec073ebedea8", "6321b0a9f210203a869cf38ca71d9b099943fb62", "f95ba9aab699394954f96c1419d3b1894b847e41", "5f32ba9d85234f20203c31d2dca0793908f825a9", "5ecf564bc9eab26c96c17304744ff1029215a109", "c74b1643a108939c6ba42ae4de55cb05b2191be5", "16eef1915f9885583a04ecd849c5d29506c2773c", "b802c3eca64d89fa73f75a7f295903ea9b10cd6f", "89f810798ede05087512be80f2e52ebe81b7b6cd", "b0070d14db2f0e9cbd48b96af3dde66b0461c555", "4003b21fb29585ae55db154a5b3fa9945b1af88e", "82ded52198cb3d145b08ea75f8de471232ad7709", "bf8fcb7860bc89c332d87ebacd260bdc5a30b4ce", "120e7a0e9e7bd0eaa248f04cf393a735832a5044", "75705f1254debc4a703ab9128c11d13cee0de66d", "2dd57833652e5239339cdc16cb3b50316ddcf3d9", "bf9d47987943e8c763ea42fbfd4b71c08ffda266", "6ae75eaa7e9f1379338eae94fbb43664bb3c898a", "a0289b48b291879c2e4e52181baccb5183d81376", "8e461978359b056d1b4770508e7a567dbed49776", "d3a79b434347bbb94f8f199c702862905ebcaf38", "a391b5dc4ad36f9125702d744613b0686df77e43", "d687fa99586a9ad229284229f20a157ba2d41aea", "f59a09a27d5ec0201f63547d4df2ee90381df7d5", "8eb4901485cc168be9d42c38200e9ceca6e52170", "2a703e0ee535c65d1e819b2e784470fac844c6a8", "bbf62974ce56f58d58c43b6ceb692ef00082333c", "72c69a7a791ff86f84f082b73e09733bb90edfd7", "526ea1569a1189ef825ce3d594022dd6bfa1c200", "4a912e8c04ec0b2d2364d36874a8faf6e4a28b8c", "80eef4c5908fbb1d5a098488dfc9b2e53456b3f1", "cf6fc9efa22a50d76123d3b2cba46202e20e9a5d", "1f7c58713471cfd75663f03dc6632c8eb48b476c", "b2a229d42a0b038d65db3a466a6127336774007d", "68d15e9fa60f3a5c9ca2fb43f2e559730c65189f", "4e51a3049f1a7301993e2d5ac8fb77a1ab0faae7", "cdf2510d1fa51e911ef8f2618d41707b0c037d3f", "0871982db35e924506d41de97ba4d909bb727f50", "e82b8fbba894dbe61fdc1ecc36640a23e2fbe6da", "177c1998dc9635bccd60151e29ec50666ff7ce6e", "998c582e463608ffdad1d27a193e2ac64a2ca297", "52e84616b177419b457969875474582feb28f8ec", "2e36a2f9022786c091d24e88a60687cf271292bb", "75dd1a7b3759f6b5910e38b936cc62313136c630", "d4a47db4b227fb8529cd8c457875a139d11d3d95", "3aa0c5c5cb5faf3c9f3c4694bf5f486d1ea0e351", "8ef484990214b80dd0e02de09d8d65906f4daf6a", "6526078009b3b4b53d751e1d9838a62a2aa4de7e", "0bba4b11ad1ec9017f1abfb457792c9c0b83c527", "7eba8590558148759b0aeebb0772e19ae50edb3c", "b50b067cbaca828515935f5c9f11d4a64ff3dfaf", "f64fecf010caa3a445381e7cabb81659ee6802a5", "c33f07164a12d8e7469e11afea0674e67138b342", "30efb804cd408471dad6b7ba6429ee1c5f1d9015", "31fc3b044ec908f7f61386422727ef23784178c0", "673736d515ecc387657c9f24d85056ec05c7a5e4", "b028d806016a72ef1ccdb73b70ceee8e1e3c126d", "c1974d59d55b6ea57d4acb8fcdc4a10f19d3cfca", "5d8e92225f1824f0b66e4661b2be90c64d09a534", "526a4847586c5b23dff7da932a86fcf8e712bb41", "3859dd21b6373bb4b237ddcebf4dc8acacb587e0", "f9d84a4a559b303a672f113abdd7d333ed94ab21", "f8facd9691b9b41392aef606aea5e6bc2e7d489c", "a55dea7981ea0f90d1110005b5f5ca68a3175910", "b1e218046a28d10ec0be3272809608dea378eddc", "03c872a7d12b08104e29d0e59fe65a8ae516561d", "8963f4cdaa92bab71e020471a9d3a99e25c7e0aa", "03faf0afc44e0e2462dfbfd83ab2e2e7b3874d3e", "30a327e5960c16f973ba791743d491a5a6d52dbd", "09c4f3d3f4ab07bfe9a65865262e44cadd393503", "3f930a1666f94440bf2bcfcfb963498ce8e12d78", "1ddf7ec443393b23992aaa01546d124d8b7c62dd", "fa8e047c959e2aa835355a9bcff11ac4dd5d5358", "6bf8cc271e1f5aecbc9df9ad411ce22182e830af", "8fec6e273f6f337e5b8661af5c9d4570ba6aa536", "943830fdc6d03e7063b1eb6694815b215b9a9e46", "56874dc2b91a896e4d0395cbb8c017a5731b24aa", "517adf4dbe299bfad2fab60bcf0efa53166d01e2", "1b457646a300c744bf098f0bfde641042602262a", "b9b539f217487b64037b0a516fc62bed205be0cb", "ed979427a4e1fc62bb8b9d8b991c5dbd9387dcd2", "fc8519bd27094a08d8b3843886c0f3e6357e80d3", "eec6c05595cb4d3172fffcd2d2c8fe4358cf52f6", "75dba0d604c1224ee48701d1419885c149b8a5c6", "c71d2ea6cad37e318289d02f20d393c85de5cc21", "d7dc630df2b19f764eddc45bc9937e7abcbbd9d7", "4d20fbd6dcdb4408dd6268951d86b92e8d96f332", "560447750f45ea18cb21f202e30344c4fe12c52e", "588bed36b3cc9e2f26c39b5d99d6687f36ae1177", "68fa3ebde4c9da70cea15b57f547a97bf3b698cd", "2a6b5b8afee8289e454db9447fdaebc1282c1fea", "7ed2aaab9d812048a60ab22e609b1ebb5cc86809", "a6df947dc3f7c1c3a37b4fdd5292e9a3b09dbda3", "d73b16b1a4f96eda9abcecaf6425b17fd02c631f", "0b71495fe7c3db9f89d238f051b6823e3b9bf3de", "0b02365863b5037cb64a7de0aee805d0371f6b21", "91883dabc11245e393786d85941fb99a6248c1fb", "3d9c027078916d51a0484ee5ff619d49be505afa", "dcb38b469b47ca409fda54a5f0fa3b8fdbb9e3fb", "7515dc37fd1e62a3c1e9bbe175c093c0c5cc7bed", "9c59214c0d9d06e6470121b48751e2ed72a3b6c2", "f10be9d1dde22b21c9cad7e5e82fea320b0b8731", "f894375c28c685fec586b722a08a78f45f931d04", "5aadd85e2a77e482d44ac2a215c1f21e4a30d91b", "9a0fd1341c567c23b8d5cfad7d6d2141b6313273", "9ca6bf5ab3b20d4893f4c5623a6df795932b64f0", "d5f1886482893adf2f61e3b344d5483c86792ab5", "4654dd4741b096c769a4c51194c457f4d8e96c34", "d2f1fa5f3cc425f7d5b9f6fe6123da8bdb0724b7", "13e8a65cb4e3dd481a7b079d0a19560b1344a427", "b5da00cffb44acf4c385c4d14a51a49d9adf5d29", "5489f0a7e4ac405ce99f638097897bc45fcf805e", "6d77b214a39b8592cd6ce48c9945e8a2466b22ba", "9c7444c6949427994b430787a153d5cceff46d5c", "f8b37756c5d8b3af3bf78a2f3dae293725074965", "740b0f180c64c71bc218da7fd275ce8dff640079", "197c406b95340dfcdef542db532e0f7a967b9cda", "9ce6730aedbd4b6e05f157397be05b33893bd69f", "1e15c5cba95cbb475ddb67157fdd480f5253502e", "2dc1d8e1fd469fe18280c09189f53db05bd62019", "030c8b086dc2705c87dc1b8b1633fb6e0a138eed", "68ba2888a6fca08cd36da66d999a881f6a536e96", "8c661e613d96210a02e5c7faad6d000b7d683e26", "79eb2b3449b6601f3aa451d9fb94752dd969cba5", "90311a9aed41340f8820f288f4f24a5e7c4baef5", "2970841968246454647be45f0a8ec7fd4a98ab31", "4613b3a9344622b2997039afe3d47df1fd4de72f", "ad5965e00d9511528c91adea0b356ad1e7081f0e", "90818e0ab85b6a5f03cd28bc5c23c90a0971c36e", "805d54dc4e5699a7c9848c044fddd2044091c697", "55671ba35bac31a4fff2f4a8620fbe5088f8c0a6", "88087582c004fbdf84e4ab4be9cdacbdfea306f3", "3dcebd4a1d66313dcd043f71162d677761b07a0d", "de18678edacae7156edb835ac5b5680cd684a0ba", "39610b2e660ec2e33b28f477657d49e3d1f58a0e", "0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b", "01db5ff980ffab31d938881dea363ed60155cab3", "9b5b7bba820466131955830fed812d25142776f6", "e423501edc7a096522eb9596d6259e9ae93ce911", "519db7bb7d1778bddfbe3725220756627373d69a", "d9fa14d9a914ed5f899d48dba005a82160f58f56", "5999930ce9a93704fc40855eb4790e831e54f966", "861a832b87b071a5d479186bbb2822f9ddbb67e4", "4244d3340304b114e5c00e7b5797d2338a5c2b82", "96ab9ba7956a2ee13e8b3e83616316f15173ff8d", "c5227e2704a87bde8280cb1ed907cc2187d0cb02", "37c3eb6c0f6427a5f401bc2b2939f25d22493808", "43b8b5eeb4869372ef896ca2d1e6010552cdc4d4", "932f58b4d6bd3bcecc5feadd82ebbf07e94583b9", "854cfc218b506b54edeee15d32b0869e77755006", "addd16272477a148574dbef94a31c35420da785c", "d50e51d0a349dd904b85734083e59643ba99bd2c", "376d9030b796cc6f0d1280aa2ff2c268eeae33b9", "d689858229ef3c0115d52d1b881895e790a91254", "fc4b50b96761f1746efe286ec1b27b0d44d5fc75", "1ec4c5039d8af149af55196590eefe89a7888a24", "c7f80cd585117ae7028148c38ddce8e63b311ba5", "14bf85bacf15241c500db72c145b0490a14addaa", "ebe95ea3d1568c70ae49e19428be1cb401fb3df2", "50074af3edde8b12d5131339cc2c3b089fa5d8f1", "167ea0ab6c1d3905cb2675ef605b9ec83d76379f", "96b83ec9c34c5b8d20797ef0c25f0eb45a7ff389", "246597d62f5d4af187a01623d7c353e13693da12", "1ded14ad9efd45ba2a4751065d7813e0b5543a12", "016b1080c108718fc59e58e47b4867baebd57d8e", "c88a1d52d92a47704a797fce2202970bb1f2008c", "b499de04abb323a0bc6b09922bd16690bd7f67b5", "00edd45d8f4fd75fc329d6a6fcc7d87108baa3a9", "a098fab95db313d8bd2a5175b519d7de5a3a675a", "d03baf17dff5177d07d94f05f5791779adf3cd5f", "6092110d67c8082a1fa16e721aaa0421ec3161d7", "5e2db6d625fdd6ed532651293b5a84f8e559791c", "398194c0b005d9de88bfe98225ea5b3a07ed001b", "699ac69c8cbd0108b2e501f5f8a59ad43b7f4e98", "776a4575812e6e177c91b3e05d55dba98db8557b", "1e213b03e1b8a6067bf37503904491e98b9e42df", "19b9583d0c1fa3ac86ac02fe5c10d8d4a59fc459", "fef3efeffade0e39f2c279653b4785b372be410e", "433bb809862f472d6f7f82c5e1f677d194c3fbb3", "646d80dcc5bcbf7006a0559329dc4d18e10c82e0", "e9bb5c25833050dd4bb64376a7e5a36d4d8f36fc", "7e5fc58d742ac5fbc16c3e33284c08fe9d9556ec", "72771b33c6756426ae3228f6a3fde4ddf880986a", "2c6225b551ad3b272c89feaf9a5295f21eca8512", "2d8f08dbb012621504753a4df493b785ad22ef0f", "5b603e8303a28473ae31b2b425b624390a5cca26", "5c7019fdbcc1a89d4a75ba88565d9ea8324579f4", "ee3494604c97b2b84ea79d8c18d64ded48244dd6", "aa156f7e2e8537b9d9cc8257e7469563a65d977c", "46be9cce021fda02f2d26f20eaf1256e17920d81", "54ab1b28175f527cb9d442b6cf9c5ce49ba339d5", "61a5ba0935e31dbc4cd448504f9b15455922c1f4", "46c82ea7aa2812e5adee6c4804d15cd5ecb96041", "2671d7085cb32fa3fe55672d9472ba22808e6fe3", "9099de23a4842b37b1612e90db18ec43d2e6250f", "d9f9b35800da98e7bde1966225b8734d2ca5e94f", "4ec4e9a682cab979e90c5029d8455e852abedf26", "2cc7c9719a5e84444cf2f123f447916908ddd398", "a870a4672dcdc53f8f85828cb64da50e51f05348", "75b51140d08acdc7f0af11b0ffa1edb40ebbd059", "4204918c1f7959310ddd78a9c5ff3a6812b5f598", "0f556558853268d86cd05bf8ea42da6d7862a024", "01f6ad4e1dc183a4e6ed7932e2146b37ae71fa09", "ed184fda0306079f2ee55a1ae60fbf675c8e11c6", "7d84c9322368e0df02b2ee3649c368b10e99cc80", "c9b139b78e5337580047138d7fc2dff3b8fcf31f", "8f717afc3bffca1521b45c402aac576ae3263cf5", "b86bcc153e097838fdb31ffa6c363f1d883512ae", "578166ee3494bd060806b16c556fd2ef9612866c", "661da40b838806a7effcb42d63a9624fcd684976", "6fc129d384431d17eb7aa22afd6ab68f1084f038", "78d00241fc9798eba895d41a0068715212a70489", "3f4cc476cad942c80ac3fe26ebc6813f4f3ba9f0", "998157761fd524f39d4d95b8929649b8d66c3b99", "01e63d0a21fad7a29301749e9eafed826101b636", "db6344e4f8a41c619573c8579595612a7cdfb080", "f18b33e9a9138d6e5226e3f70051a845d5a96941", "bfd13531b21c38832e1853bc4e5e023f83f0be5f", "d8391151d6e43d8e4ea0d8206a5acb7f9be7439f", "268441dd3c5862614c309503d5b85f77b736d659", "73489e8d5b96182c25d7d29d04dae979a24dd070", "d493288998422ee30fe67370497a8a35108f81e7", "99428c49e54b72fa11d131dffa6b37c6c633b019", "ee2ec0836ded2f3f37bf49fa0e985280a8addaca", "935c6a5087f7683942a1999495647a02190dd8de", "beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2", "e0fae57a3f704318221c4d14ee76c8a7cf9704db", "70502590316b61180fdee7ac21f740d1c836c929", "cf5bdf52cf269c9f3ebf548756146763f55e42d6", "aa54d0ac723c1a45e31df69433a72f6dc711706a", "11afe55035a4408eb5b8944b383f103e7ea12b67", "5cc2cefcc1706b6533a6b8b6f79b0f1d96282999", "1c0eaf4c568664007b092225095c9c5e008c20fe", "33e4844a95bc2df4619e6d43bd009b24a20fb79a", "1c924a8264710ed7213e2ec180e49028fe01ca10", "fa87fbc7df4e56318a38f06ceafa47206b4117ce", "741b0ce40cc18449f350792af777cc54c390eda1", "4588f2acb965351ab35bd3bdafb5be7dcee9e1d3", "b783a9a0402e713cef320c072656de487709154c", "6ed1ed0002a0b7eae2bffc309c7d7b9baf06ff1b", "4c73baaf624280b49eb73e5d72406fab5ae05011", "074e5e8cb359b54142b234a39a40ce898188e4d9", "7099e4a8b01b5cf22f9f9ecbfbed16bb44d3d76d", "8588e780fc03c628d6ccb64084701c13bc507e79", "0953df0cb7a40a29100eb3089863451ee8e6db47", "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "908e5f0610254f4993018855f0710c24bf326d93", "4541f3ee510b593243ff9a66d3586ef9125c2931", "ae5621c37b5170a642e97c555e698a05ea04497b", "0183d3634f43c85ee7357916cd84990b9ff374b7", "9da3db544cf989464ca4c74c0557f6417b462da2", "43cff54bb47d0e96cda86671b2fdd9a0d09f4060", "db78b10f9911c0bc6bbbc6fe3228ba725a370ebf", "1fd808c6fda9c530d00d7a588693244ce9f324a8", "4d7fe6bb67a1956b1cfcaa7b4e14ad79d64d3fce", "ce5eac297174c17311ee28bda534faaa1d559bae", "d6f5cd81e3957befca075114050185e304d95b05", "1c37f96b346c76cae6d13f3731d5160e1be7cb49", "0f146e17dc24a304f9e9b27cd787ff51edbc33cf", "bd21028c19e7b2a35dbdf8794d845b15fe7e3aac", "09bee5e450619111c40f82e63e1cc20dc6ceab0d", "18d0f6445abeecf1fd2ce2b79924916d5f635af2", "ce7de2beb5615ec81971fcb0471aacae1332cb40", "5175ce1cd4978e5dc11995f9beb4ae84805aff27", "2b0ab48de9e1383521be11b66b86b88fc87f4b45", "86e19f1899e67f4bdab015ad46cb72d0fb9b01a1", "0a500d42bbbf561bc19333d34290f417bdc59fd3", "c4a3cfc70ae20d3cbe808d76b35ee396239c5374", "c95ad088c9d96c7e94428b7e90ea8bf547cd9e42", "35b3dc0e961a15a7a60b95490a989f91680acc7c", "2cc46e18e6869f1a6a4420f8b839cfd4c6844c20", "bc8bd3f5653165809af3d4525f266219add4d132", "1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38", "82e4ae961dca2693742c7d35b8647243d9083613", "a02f070080d4bd0fcef8b3234ca6b8ee7c97fb50", "0779ed1e4165803287cf711f4a733d4f98d6827d", "5fc664202208aaf01c9b62da5dfdcd71fdadab29", "0537421172b6aebaa73ea157f49f9c7e828d77fa", "491932c508db8421baee8503e4401f5682357d59", "01add5c7872d7cc5aae36a1bb31f98a3eb84bb23", "3db59805f585447d2946a00b9277f59707396f0f", "4b71d1ff7e589b94e0f97271c052699157e6dc4a", "40055c342c19ab492df04dae2e186cd0d6b5dc5e", "0a481d2472958ca243a79161af97544adc67f4fe", "d2c64a89238b3f6ea74cf7024c7289f9416f283a", "748675f7ab301351b8d80b0c9816d5763ddd7bf8", "c46bcb02f92612cf525fd84c6cc79b0638c2eac9", "695e44e9582f2bef78726e3c44f46b45ef12eab1", "cbb257acc69549de69876fb17f1544e66d1c1135", "704d5572e7d5a97ddbc3c9436dc0ea785a600dc8", "d45f5f160ceff67d316b311778d5c4ea9a9279ac", "bc047bdf33c12682837fb0b2aa1ebdae99329968", "303517dfc327c3004ae866a6a340f16bab2ee3e3", "5bd07359b91d0eaa30264c5ddc9aedbb816844a7", "62b680a5ab0d83a8c5783585a4e3e541ac997ea0", "6c4ac38cb87b8ef711d49ef980edde9773a655e4", "e21cdb56c23e2a834a611d51abce545d2e8d01a2", "8e0841963aefd45ef19a62c5bc6acc56f4b17b4f", "39a5f2ab4474b8532aaccb68e3b705e5100a628e", "90dcf6c0b414900c606112c0feff7ff2d68bb94e", "d6f2ba0856d007112974596a8a1cfd5c81269836", "19b9e5127155730c618c0e1b41e1c723f143651d", "4f49ee1348f7731786a11ce2c32eb635de99be43", "8f2b348673e1b59a821a3d0ff6276acdc16a1a7f", "5f6d2580a8b9fd33283f87adbee3dd395184d076", "c0e85357120c4adb3c4c920b90194afd0a4a1a81", "52bc0f02e34ed1e2ce1f77d8f07aea2b87813e89", "a8114d9ccecbb75a88e1dd3e6a5eee387c491b47", "015cca86d9b5d891ce18eb3e04010594ab4ad533", "c274a4428e81f49c2395f4b3888e768e2dec9ee9", "c8a865aba30ece776367dc32c79ded3c263312f5", "ac20730c27b023ac8f75c3a62d001f8a3eb918dd", "0428b8c6a7bf673dcf5e86805c089ffc12e47217", "499ec985f911bfdd44ca67af223e08916f9ee8ea", "ea7e8377f80378ca9c9f8f3e65f7dec6b8b356b9", "4ea253a391f804f0045a20e6ef1ae6e92cd0ba55", "1176c886afbd8685ecf0094450a02eb96b950f71", "c082afd5928165ccaf6d419aff5d0456d8ef78f3", "532913844a98cccd780207b78a3e2d642783595d", "20f272f4bdf562aa8b4dae84b67cfafa34a00738", "f624e6a1f13a7a55454dd23871ab951b21d6c884", "8021d95301b44d0638444071bc3b8962d1e8efd7", "b8ad1f7e5753473e3d5231a08c980fc2bae3af0b", "123cb96ae91f6e809d756b32d81200014ec185a2", "c450b742717dd56039466c3f761982355bd0576a", "9c6c8e651913e0d0f58afc8348ced373c386a880", "f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b", "afaa607aa9ad0e9dad0ce2fe5b031eb4e525cbd8", "510ad7d606c928fba52425dc804fba33dd8ff265", "fcaad38bf09403b33e5d1e1f4c9edc61413e7d15", "050fde74ccc9ca2e9a66f1fc8b9373bc908f2bc9", "df358d394db1647e662ce78edc4f031434922067", "a8a45d083e5535812f991afb686b4e36ea9f0717", "bd592392942c3183f39e4a3105ef63f8cde953da", "2ec31c9e87830fe4dfd82748ef6c102ccea23362", "17d84ca10607442a405f3c4c8b4572bdd79801c2", "e835a8cf0c7046b409b16b6720b27769ad83269d", "aa03cf7c482119d906d67f91b2b905c3d7d22d90", "91242c982b6c69a8f3d8307bcbdcaab0cb2680b7", "23b4dfe0669dec9fe862f962e222b6987e09e061", "9d3aa3b7d392fad596b067b13b9e42443bbc377c", "36fafe371c2c289f9253bf3a1cb6514123c6c120", "11342399df26a059848764cc550e0f1c83992e61", "19e32a17c7091dc88cab9e858110deb7769b3f5c", "89588a4055b69abf99de321ce36b03ad5e8f8f05", "149e866def710ceb77d87ed1d3153701cde946aa", "b45549a95120a744e6b882216f8a86481fedd255", "18fcbf5c7f83aff072feb116b8a561d40afa11e9", "d6e785d3466eeaaae1f6c792f679d1111ab30302", "fd13c64f629d57b85ade538e15821fd00f4e5f1c", "b084ad222c1fc9409d355d8e54ac3d1e86f2ca18", "fe07ab1f417c96ae9851aaf0b59908925073fdd5", "a8c776ad5f4e0ccf9a3e6c5073e8951bb11d187a", "89967f456c7680c193d7c2d18d2ec267ec59dbf6", "9782c3827fb5563e6230e8c3bd72dc456a557da6", "ffa4bbfc1981fb5c44b09fe22a38b91573814e11", "f8cd3c8f27b3928862a16c1a087c445e095079a0", "5232a1ab263e4feaa4989b8b257830650403dfa5", "2e797e59174f4995020a1d0dd802f4dbef18161a", "6bcd825349722e3dffcdb2929bdb1461dd13595f", "5454c5900b6b6a0cf36df65d667129fcbd5262dc", "93b549fc1e6cae3038b122190aaa21e88a65a200", "ce9a22bb42ae68ed5bc2d19857f4fb46107a1712", "2f2fb46249ef42c8e9d506dc9ce79ad455e3e2fd", "38198502b6579354931bfa35e88dba6df806721c", "b8c3e39e6c339e0348ded128b61e83b17e731d54", "142f2241bf5205f5c270141cfa6c0e9c4666601b", "6ee3fbc4768f578601d42b1596aaf2b0cfa1d40a", "8cc86387a3185c2c357f2ae748a17a8173ccb8e7", "c88b2a351e207698dae6a2b314b5f4fd25f2e9c1", "ff7d2d9762d6ed1ca6b868bc714b72a5f150f3f1", "6829a415730eb94e447bd707a95812fa35a7f9fb", "80fd7c92f6dc92c2a61c354c73dc483794e9bcab", "24baf0d64384ad67feed9920ab04303bea610c13", "7c85c1080bc3734c61c2c6e6be74b36859ba63b3", "399aa3c151a684bdee68cceccdf2c037cbe60aab", "2ce2560cf59db59ce313bbeb004e8ce55c5ce928", "22c951d542f4d03c718bd58f8ec1b40239af6974", "e00beb10ab1bcabc47434d71bda06710ddf71c17", "37308828f9a57fa92c9f99c0f314fda08c310472", "9228d4b91c878089b3e5aa8082452df6de63dbf4", "294bd7eb5dc24052237669cdd7b4675144e22306", "af8fe1b602452cf7fc9ecea0fd4508ed4149834e", "2400543ba5a94e2723bc5296e9e5f2a280f0adbd", "4686df20f0ee40cd411e4b43860ef56de5531d9e", "8a1f095e0f84c3ac2e070823cf712103ade62fc4", "c1528d8813c34929e1263c63960d6c633c1548ec", "7afb39dcf74b5d9ae082ae33ebf3ce04dceb0cf8", "a57b87baca7f3512372e7d9cfb5a712c80b53289", "3bc776eb1f4e2776f98189e17f0d5a78bb755ef4", "a4f345a8a7b3d5933282cb7fa641b2957ca89113", "cd516ae100bcb698ce90b7d588ee06a27284c1a8", "26a07311397d47ccc438783eb256cb97309edbb2", "0bdae87db9d402cebbdac21c6a8292945a2aeaf9", "2310202b10c535b7228c9029e11a24d33deafdb2", "f3c7431bc27947423c7ee79559e9b15f6c00194f", "32cb1e4cadfe7ba1bb09679fd51b012fb616dfed", "2b7d575cd0e690c124a41ddfe62c0cb9ac96a406", "1fe74d637bc5e7d95abcd18b6967e51461fd8cdd", "1f8da6449cba22c351bf79b606fd17c6e5e758c2", "078937f636ab702137052276c62afb75ad1033ea", "bd3d2f48a8937a1498296dbaf6984f37f9710e83", "19c07f16d2577c1c19e65d0187036e73b980c8de", "ad661191f1c0515030fa2c11aba20bf1cb54022e", "6bfb0f8dd1a2c0b44347f09006dc991b8a08559c", "81a527f5679ed91ff6f5cd18e030ee5074a76a24", "96fc15d01a202446179546a5bea8106a414232a7", "94473e8aeb99b1b374975cfbca014c948c7afd95", "e4bce7dabefaff6069fc0773773c80dbc4865005", "51a8dabe4dae157aeffa5e1790702d31368b9161", "ef42f6584d696513605b424752bd9fed6ed98fa0", "e8d898a6adcd526874e0a41840b69760506a98a1", "6fb33358bc7e1a73e88b4a87fb0962366ab959c9", "ca0804050cf9d7e3ed311f9be9c7f829e5e6a003", "12d8ee0a95daf4927b5f5fb0d0b6bf73850bdeea", "79f7037675b3929dd2ee4ba989d3d26e63c9b9a7", "9be4b392e768ea3d4631c57c35d561d54905aec3", "15885415819f2a9db8eee46ea6b6224c759801fa", "88146053e69432e1162884a4717c250dd1c9a7a5", "bd3a3884718015cde3eb8b0fdeae94eb1702a233", "c99685249f0374b89a9a1a3ed1b57b2977228e7d", "17c63dddd8d37b3b8c70d509cfee81fe71d84e2e", "4264342722c48bb334d19b993400c5a133819e51", "b17969a7cd43602f8a1ba3adbbfcad1c3163eb03", "4f892475be26333ddf1b72c21f0c9c4ca129bd80", "13f3dcb3a5e21381e945138f4da6031673ce2cdf", "a964fbcfe85cdccb86e8c44d027b7f9e96fb22b6", "6c67f082c4141907d60ef914a151568ef59f58d7", "712237121aa189179ac216bee7ecd5eaa79aff56", "d2b0e08637266f49e9764b65e5154363b063a00d", "eee69704bde40ab20090c19a21487f7ca5bcc674", "f4db287121a9809233a5631b4e7c1687b9c07ba2", "bda61e9bcf02d02f61882790dbbdad8e4fed0986", "cd6aaa37fffd0b5c2320f386be322b8adaa1cc68", "4eda4c1c63d96c2764577fed9a2bb3e10937e551", "ed285220eb719732227808bdfc38b3ed1804f237", "a32d54bbf8ede0a629dcb08323e77dec3ffa334b", "9ec8800def01100d2db0ca5ad98993bdb6f682e9", "d26f0f3696d4b895e8ecafe7469164c4debacf89", "7ed81b41ce0a0ef6d6704b1629162266042de45c", "7cb569246ade0393a0ccf2cd0f9fd01921569ecd", "7a05584a0e8ff57a81a172c1c86fb524cfd9c84a", "77dc926b6ebb3e7e7854dc1b74466906c53e5f2c", "1165516b4f8bc57ed416ef7be9482c4f013b41a2", "b856d8d6bff745bb1b4beb67e4b821fc20073840", "91aff7996ea9a7257517819f8079880b6f35c92b", "6a1cda6b681278a0bdbfd50022f7024dd58411b4", "39f03d1dfd94e6f06c1565d7d1bb14ab0eee03bc", "50dff7d619de13076f04382690f2ef83cbb43155", "8db609d84190b905913eb2f17f4e558c6e982208", "0316ab93582f0f32b6137a0582d94aa31bfe3d1d", "399f973a59493280db9686ebd9e7e218ce74a5bd", "3ec0d2c66ba2f00d90470c03969372e610986833", "c7e00a3f01c54e033e5664bec1c6df82fd5c7572", "e30b14ad7341a596768bd67f854d1ed4ede2abc8", "b3c73fe9300209045168d0d15a4839f3345de46e", "c79d1509ee63086fe1a236a13353f25f36b75006", "df869aca65cdbcdcc54fdb05e44c62f2b3d006b0", "d5b5c63c5611d7b911bc1f7e161a0863a34d44ea", "15bf753aa41e4ac465d5fd13ef3913641bc0427a", "e9d7b52f6b2f6e2b81909288939d3f2d3797f0ae", "a4e670b58de7b63b42da50c8797f1f53f7e6f76b", "07e2abb4c9abd53268683b8631248c091f563059", "1ee9598f88f40dabb70965a74eed87aedb276171", "d6395245317ad36a8ff3460f6df3f135238fd204", "073bbe41f2fdfb2c87b75dbc154adc7020baab0a", "aff672a7e2c5dca5921ddfa3cf3223e2f94d5838", "26922b5ff18de4b5ffd454504f0c156098524fa3", "bd1d466299f585f2f67500a6ceef19008c4cb637", "060732e29971e4598b2b086620f66671d520a349", "a348c7d55b97a3dc77eb8890b63f2c228bf94504", "59945763707557baace208253c029265b4b6e0a9", "36b27f74b9a7fe12cf6593cc8b73e764efce7dda", "226ecd57bddb543f177426f3481a0d81aede58cc", "69909a4680263c528103c7ed52ed6300f7971289", "f18109e95dc0e3c083b7d344f472ab9e69d9a441", "38bb66c97b35851051e95834639c205254771adc", "8e6a403943d00b31aa0241c36b00234353507124", "93d6dacdce6708db29ab3eed1683aad561fd0239", "00533c79ba906cee9441654ada8071150e85f5ad", "a42209dbfe6d2005295d790456ddb2138302cbe5", "4fc044f55a3875108dc592198d8999ea51f08d77", "57349fa966e3b66ffd251ff596a8b2510c07cb4a", "ff398e7b6584d9a692e70c2170b4eecaddd78357", "d3e04963ff42284c721f2bc6a90b7a9e20f0242f", "95008358a631a10ee3c24bfa2bf0c39d136a916e", "608de8217aeb7851d0425ef412e7e65da804f682", "f9997c130b9295592bf0e49bdfcefd215b6526de", "9040fa6a62f6c185473f4043846de3aa7920624b", "ca56ac26cd7e1fdc35033228b4936bf70a090825", "a051854861453ae8a5e32ead7deed628c52f7fc5", "1ad9bc55d1a6ee18607b027ca7fcd03bec979e87", "b16580d27bbf4e17053f2f91bc1d0be12045e00b", "c82889c36a53d1c18eadcd7babb8a680d68c20fc", "ee356b434738e2965e27f933d974cc4609277328", "c5905c01dc25768c3a18f5c7051f0f73806975c8", "eb4de1c205dc084c7584a945970869961a884284", "0a1e3d271fefd506b3a601bd1c812a9842385829", "3a032433fc93acd5a482e4194a49ee7f0fd86afd", "0b9ce839b3c77762fff947e60a0eb7ebbf261e84", "90fcf4d23f490fe9ad38328b92a3a24a03115918", "d4d2014f05e17869b72f180fd0065358c722ac65", "ada4901e0022b4fdeb9ec3ae26b986199f7ae3be", "cc200b665f6c446747a48d01e89f6b1e7d7781d4", "ba25c0c330da1460cc817a98e7c55a100c255039", "ed3f32f4a6bc3524595db621fa5f6c61cf4b7497", "630ae5a734dc9dc9d46b05278f0bcb5a252f6998", "b870406cd5483d53cf02d6c28981616996f7f08a", "3d4feeb390b040408377f49681f584189de0ab86", "2a84291b542e01cc62cc94037f581e28f91dbd19", "5cca59b7d9f3680cf921ca848065dbc97d9ccd76", "99cc7338102f4d979dd793f304ada404e11cb623", "2cce7a5289c4124d9b23fe67963f3d635b63091c", "a2a8f6bf8f8cbc170fc8b4ac0fd4e7ec792a9b8d", "19f4020db2a37102ec3236ff72d8c7d3a0992ef9", "07b75e2fd8e2eab17d096bbc7fd0d408d5973d9c", "00e9011f58a561500a2910a4013e6334627dee60", "c2a1f436eff1c1607634d55db064814e922eb6b1", "50bcbdcd9a21b88c2c3e640894081d1e225a5b80", "ff061f7e46a6213d15ac2eb2c49d9d3003612e49", "50f6888d9a7edb746e43a78c682a57c7ef36765b", "427f40b7b3e5b41909050d66a94ecf34fa57adaa", "99b910dbdcbcda8ad85e2ae8edd5062f7ad791ed", "57911d7f347dde0398f964e0c7ed8fdd0a882449", "0312ea54c4fc9d82ff62c5f699808273be2bf78a", "85c007758e409eb3a9ae83375c7427dd517f4ab9", "a49018f1f04d6d64c763ac73f21890df8983e641", "7dbe5adcbda3ce5623939327eb882558729aabe4", "cc03d60b73bc484da847b658ce8bf3abf3d47753", "4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461", "b4d41bdffe3845e67980559c0dd5df71ad9efd6a", "4a5b2d5892f630a10b136eab25a1406de81b586b", "d640ca9c8a18281a3c266a85b254ab2db3fe5788", "02c50ddcb8ed626090b967a7015d1ddaf55aa149", "166c52cdd75954daf302267f24c31b6cdda5f275", "483bccc11ef1e665b8e2597f8e4e5f90a7116c40", "bde2549bd077adccd505b9c2bf0b92f8051b3b3f", "b355996fd36ea6055e45dd65c1c9422be4fef966", "3b6163ad3cb47fa7120a67f828094a0f8d4302d5", "7a2d1ab82eacbc92ec4cedbf2d7432bf0194c6df", "da141474d85257ae65e45b3d4b3a9aa23e62724d", "3bb80697a28b9876e668de2228003dbbdcb84a25", "885c37f94e9edbbb2177cfba8cb1ad840b2a5f20", "8c193d49d4038c9cc0e55236bbf2b83ed9687786", "8a92d17cff2096336796232e4e42bb11c590629d", "85b1ca3089d503781af9de23d24567461cbb65c6", "2cdb8df791cb15eef805443293319ec8690ff88f", "3bb95239433149eb6e56c3feae13b1b85d6869de", "17738b0972571e7b4ae471d1b2dccea5ce057511", "fc5fb5d0fb7c654e8fda140e5bc53f4f422a5d6e", "59e70af67a5584752489da80b36fc79cdd45bc6d", "a2268e3ec394bd8e7dfb131b931fdc00547d3f39", "4f5708dfbdf03b370fe6be9a6e260d6e124ca09a", "b99dd917f85096cd82cd1ce37b39bbf8a8596bd3", "14e31e4d3e4cbf53dac78220e0be467c5c7807ee", "504c1cc2ddea7db0f684269be3df05e9e95b6e2c", "f463d1e8170da42bbd133bdded847e2182814a15", "0bdbf63900bf75077b00984d757ca3f10eb372c4", "3b430466f7c7f26bf0dcb2f32646a67c0a611f0a", "42cdfa8feefa47abbe849f13df17822494ea331b", "eb92705f6920a5eca702066a0914cf74688e928d", "00bccef4017ff11fc089e0a87253981f6ad0b58a", "76d076b7d792edd310515132339f9f2fcc5c4bfe", "5f3a513351a75f4eb86dd57e1651e33691c62417", "ae6c9610297186e0e1d4347a2d203fe5f86dd42b", "76dc38e24129ffc8bdb84d533c4ee50c752140aa", "210178b8119398be09dccfe1c51b39700f534204", "1aff495a36ceecbe2d49a95fe5779c2062fc5127", "47abb090848b06b5ca045a8f9582a7fb0d729dfa", "3a837dd686e5b34fd2fee1ecb340d9238128eff3", "744b794f0047b008c517752fc9bb1100e5f120cc", "a9e1bddb0fdc862859b90d03e20b34d4cfdf4b93", "42966f6d506f09f990a42fe422f69895235f9bee", "108b2581e07c6b7ca235717c749d45a1fa15bb24", "9a10845115794117485fc84f9b9e6ada2a7d2b00", "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "1174b869c325222c3446d616975842e8d2989cf2", "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "8efda5708bbcf658d4f567e3866e3549fe045bbb", "287ddcb3db5562235d83aee318f318b8d5e43fb1", "96bad307f3c2062a76ff1486dcc18eea11d63ab7", "c250c1b8f160e953c2ac0253860abd6a27b8f7f7", "db3a1f1b2e6157a945217d8510683d7248478c28", "8b2dd5c61b23ead5ae5508bb8ce808b5ea266730", "ea864dadea36d20adc24f47232d97676638723ab", "15d7250a7668f8687a14aaa06a4379f6bb57705b", "0c7844b63a05ec086fba231ad9eb3114ffb4139e", "ac79059866be081a8492c642291be159220979a5", "2dc7d439e99f15a499cd2dcbdfbc1c0c7648964d", "5ccd6738432ba015563395f35a046ff87a79c7df", "f095d5549de0b35ac18b2b3e178f39a5667e89f2", "f106ff6b2dd497650e7e2096b24a23d620a2306b", "831a016b31d8ecb2c017acae3d8fe2c31d5c7873", "ecb0c9af1b6d700bd2e50257c3c658477f6e9957", "76e76fb584f381a2dca627a276462c52ed680b90", "08bbb59036c4b85a2418f9702ccd37929c5dd154", "dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd", "a58817ac72b96d06e062b5e13e674ff1871df17e", "f91388f87e10674226f4def4cda411adc01da496", "9b4f651dafbf0a59099ef43deda0a621c8b74465", "2c7946d5d2f1572c20e9843eb2033b8eb9771bf3", "0fe8d8e90889917acca22b9078a1a5607e603d8c", "1a1ed320882c00c94d9f738b7b14eadd941376ed", "33b53f4169afe0145c0a14bd7dd48bcf2f83c888", "29f351f64bc14cc210cd830f444a226fb8bef14f", "53993c7fabf631cbd8a44ab3e42c6bdf784db456", "2d21e6f8bd9e9f647f3517f51347ad89b4381a7f", "9be0de78bb69e7b243e92ab7530f9fd5a08c62cc", "df969647a0ee9ea25b23589f44be5240b5097236", "f942739b7f9bc3c0b84f760bb2fd4895e1363ec0", "b7216839f399a8ad47636f952dfa28ab34aab5b8", "7566032327a19f9ba770022677de34d7e7aeaac8", "05a26e093a101a9e6d9cac4e39a29afd6f1ca77e", "00d9c1a60f82168c9e98b7b8b911af0f42387504", "b7f0d1d65763fb57ee9a3624116a42a2fe763707", "da6f8a33bf288ac7aeae899c3c3ebf42c2cd45f8", "b33b155e9ceb953626d690e169cad4ac1117edad", "aed5aecd3f0a07036e570c84c06cd37ab8904acc", "e903f35319eae1776f8892652d78e3423a91005a", "3c089b8175ebca4a3e2caa5b1291f1c39341414c", "b1429e4d3dd3412e92a37d2f9e0721ea719a9b9e", "1ef79451c83cd625a9d1c8941bcab850956f30f0", "9cd8e1ccc5a410c7f31c7e404588597c0bb1952b", "64a5f474014e3924d3f04c8b44d6a8ed8f6c82da", "1db51b91aa2b98e91fd5e440f829a084e9932b8b", "714e8209cb0e2dc5dd36107a8d9d71e55ac887a3", "6dfd5f97e3260e80a293f92736fe3c44858ec1b7", "870f68355f9d3ec83c162d0df200077b93028e8e", "e692870efb009da4b9316678b354ae935fdf48eb", "30c96cc041bafa4f480b7b1eb5c45999701fe066", "d16336fdfdd7d992f3d85e3d60ab74689f661648", "89f4ae258970b9cba733eb39506d7cacb69e4529", "36acbadb5b1db1587479fc4595e21e81aaba1f4b", "e6dd073f9b2cea53baca6378c3b56fd84f3818bb", "80e5abbf8182e68fa0799936aa0fb43fa27e98a8", "8cac1f5c0c5786af6ff53c1b50fa85e7213ead13", "765f01e10ef2df381ad8173d90763d218f4da9e1", "8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66", "92ac98744ee8b110a1e569b30c2f8c08778a382a", "41067145afb071bff45f15a53e86f11164f5b9ac", "f122d899cbb428f9ca4d152f87d3d28e1a76338f", "100428708e4884300e4c1ac1f84cbb16e7644ccf", "228c28bd18a2d58cd771a75e8718b14dc32051e0", "ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9", "c1ee18611086ae698bbc48d7166c986512e176bf", "0328c519845cad6af96d939b7d4fbd34704b77a4", "d7fe2a52d0ad915b78330340a8111e0b5a66513a", "34d15fea236612e9df10e4c7a25ca31c0d95edd1", "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "914902618e7cc864393ad508521eb582a5af5b87", "dfd2a3cfb8250ff39de498105d3f31122f314811", "a84f80ca4e29b49cab1035ed8c7877caf2dbe914", "d4343b3c7122f57ecc0bb39887406dad5214dd57", "258da7c0f7bdfad019f9affbd3469081d1c12661", "51ebd2067aa0e66d0d66e2b018b95f5e85993206", "736a8d506785703a995aedaa9d9bf020a9b1a2f2", "2d3af3ee03793f76fb8ff15e7d7515ff1e03f34c", "e7647e094183e5b37e4723a2aa700cf51429fa3c", "ef3ccf4c7d4b240ad0fbcc29f4e6be9334db9a18", "e6d50d65a87425e7f0b4ec08c53d200f12f75590", "70badf685b6beb4a78e12beec800368a8bf9f698", "45013959589013b946d98b787cfaef404f52a5b3", "5bac2400575e8cbc3c8e9b658a0b104e44591d81", "d453952637ad119ea730ed002af8349efa98cc12", "b187ac6801c823f28052fde4a576184f6bbb436c", "71453044aa6a5aab216b3e2472fe74be77b9da34", "320e2c950d5b31cb371208a6b752a94585ac6665", "cb57352dde938353093721032f02299aafbae1fb", "45d5d080c05ceb89610323d36ceee9bf99bf6dbc", "f157ec3f4d330aac34331300b4c1fd1edcb46156", "ed3084c2545f1c9ea6a95e5dbd95bbe74531da27", "7d42c27163619fb259992ba518f165dd13eca11c", "4df3143922bcdf7db78eb91e6b5359d6ada004d2", "011db5d3c0b3630df7320dd90442ab83c26135c5", "217ddfb548f0b84c8010a0965adef469bf8c525e", "9b861942ff2584fd1660aa5e86eb67f4ad998da2", "b2891e43c7b5dcd889f1a270721209a9cb9cfb49", "9c7ae727b0627d1c20e3b06c7f310c2a2610e81f", "5b90bf3ebad1583beebcae5f892db2add248bcad", "58178c76b670a0a486b88645d5a482881d5c827c", "3e649f31eb2916213d5b064dd4f3225ff689651e", "c9d9e91bec48a13048a2a0626892e00575e236f5", "3e51988542ced911184bce400a2a4af0b044396b", "90f3c5f8a0669e3277fd1dd98b75f1e022d1f06c", "dcb668f66307ebfa2c214ea7b071c04586e2cf1c", "59da714d643757871bf3a48757a5919b9b577e89", "081456e22734a2cdef442345f80182e84d1c6124", "789a43f51e0a3814327dab4299e4eda8165a5748", "16b0c171fb094f677fcdf78bbb9aaef0d5404942", "58bb74b6efa2e7737ca7d531dafc6ddcb3340cb8", "5fc2d40dcf41fcc45db2e2a91ce615e3b170f189", "adc9c23effecc870758f35930dfadd1da319d502", "2785a806702622529d0a9bd119d3d99fbf3d0df9", "bae5a70807de5ed4975cb5231437771544465b7d", "e6606446975aa85fbb4b239141ae35293a8b8eb0", "13f4d056f6ba318074187ea5ade7f231803e2879", "5ce5c3c427d0e696c2c5ac93e76a319529dc0115", "965faca4b89047ca0c90df0f12c06bc4cb9ec2dc", "ef9dd272eae0f66c3d62785a6b29c2cc24e6dc19", "57e3a48099e661a5fa8d65599ebaeb71b51c568b", "cdf817a64c389615c2d3098ea1c4f48d10ca24cd", "1047af2458917a7924b9fae64773ebc3aae06748", "4df1bbbd8cb36c8591ace58616d6f64a4e9edfa5", "b0db46bd9568fd2350a0c25eccaa2042cb0e310b", "d842ddfecc6ede3ad86cbfc68f019d5c0c6f1e44", "0319332ded894bf1afe43f174f5aa405b49305f0", "5110c0c09e3a81265f09d6ebfcea27480ca4099c", "50f9170457cb0cc7f89d44917d5750ec33459ce4", "35a19bed4f5c0499f5c03c14fc5765ccc2904a58", "e5745f7ff915808faa6505b18a1d02aac783f5dc", "17bd74ad8e61db571d0fb270d5f6b5750bf3d354", "86aad14460b12536985620c6de043d4c11485444", "d380878ab465d4aa5fbff4d3ee26d96e10fba332", "230cdc2047406b81539840086131f879c0647633", "a3bf4d0ee5fe3f9071a59fe9c0f3081a59ece287", "398ad0036b899aec04502c243dd129c1f3e4c21e", "8f4c8a80e94a883356ee4c4425324dac5457661a", "ae0f8936faeae1b714831fcdfa889a6fbbda82e4", "74032e526edb45bc6c79cb5576e69486e72a316d", "40df3137ca769da3d76b3d5e9267ab9373b73b84", "55b9fc72c3d4c41831393e998b07ba6fe1323e3c", "abaa114931d71f80e82fddf076e2a62666126f9d", "7fe249644081e8b6e496867e4743321e7d3eff4f", "e8a1634270cc6f3fda88c995408117f2376d2a9c", "d541986a647e7ab10cc8f882e1a1f5e6d725d8a2", "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "3cd40bfa1ff193a96bde0207e5140a399476466c", "69a9da55bd20ce4b83e1680fbc6be2c976067631", "014e1186209e4f942f3b5ba29b6b039c8e99ad88", "4e7951a083bdac5c5d62c221de93181398240234", "136112d29f8abfd8804f9b9c0e15d00f7c013c6c", "301bef4826d50d56ed0f53dbc6cc124bce986f67", "ca17025fe9519b0eec7738995902be2992040a87", "2befea9b289f22547f8911aa56672d6373c1ac64", "5ad6cda57fde91dc7dc70f8ded49a46e39e692c8", "e55dfdb438c0ca607dc970b382ab3d820574586b", "f3b61d419d67a50f930bd57fd049e3208568818f", "c6a019a9da9b71b7b397005c74abfb483f255938", "d6992b0a3a736293b5a9084aa9615cc825d1c3ab", "482321a30da9edc4da8efb73f8e7d763c56811f2", "51f2e751beeb14c37412a65c8e8f0746edf8382b", "3b92916dd9d772cf1d167461a548115013a954a8", "0e41bb49b2b3b1fc4fadce856f164af51549bcb4", "39c54d22a0f29605f96ab57720cde8c6aa743c10", "e22022de2db3432b3d77a49180b58d29058750d2", "ae19008898ea1347cf0f7ecb81b71aa18137085a", "6a6a393e8c8924a379110dd6d48a0237242579c1", "cdfd6930edf117c80ba9db0961e61a9576e85f3b", "eb65bea4586db7aff66895d13c1a6b94c5364497", "1d0ee1069bd433b5f754d70517d2e0fcc519515c", "211744a5dfe8b03828bd6ffce4c5f8cc58ca9109", "89f9225a7223133fa687e1c44bb758c3567f4f26", "06c8fcb0429afd3aee153ba42e1fd8aa93f7214f", "87cf788806ad021c85b8f23e6a2c9b98f2f23691", "826aa28f44628f1740b75da3ecaf76251d2e36e7", "645736f2027c5cc64e8ca98ef46f28ae9b1b0110", "8ea27ec3c92818c1ce7e95ad8db8ec2fd53e4de1", "2b64a72d53f13417c6352d3e89fd27df91b5d697", "49435aab7cdf259335725acc96691f755e436f55", "07a29f43713833da42b24e3915b63601c39d7627", "1da57510321fb8b25dc4d21844fb9afa4e40571e", "43d073d3fdc22f0d74793fdac47ff56b66c95990", "a8fdeb7b9ce92c8ba8f25f5dc9996e409ee803fc", "07bc20cc868b1861f9ae139b8bf23beb10374125", "a03a2154f9aaff21c190634c888ed6d4f8d52150", "14df5bbb6fc34819f4ef43bb2b8cb1ada35613fe", "a72821008c41032e82f377b53bd96b5f7f8be025", "05b9c1ad0cfe1bdb68f470492c9a593bf78d5192", "10d85459ab6a9350931fcb4709bba171cd31bbde", "54b309443f53ed960f588f64d6aefe53f87504b6", "1ca9ab2c1b5e8521cba20f78dcf1895b3e1c36ac", "01853c864e7eaf0c61cdb2315681224d6a14bde4", "51673c4e2f92c04245c94b2b77065239b6a4922b", "93610676003ef1dcda3864b236bca3852cb05388", "480858e55abdbc07ca47b7dc10204613fdd9783c", "6301830b8b6ff01537ec5b3293ff229cc1d5a53b", "90a0482d4a65eed68d09aa4b64f6270654fc8fda", "9bf6fbccfdf013cfd076f9357a05fb00b50735ee", "3318ea550981a714d2c84522aee411460004347a", "f22b157fb9f9963b21a82860cb47585556bd79d5", "2753c410a4072d40a8eea5de392414999b7f4b6a", "685fcf13c5e261bf4851ddd1273e048869124ac2", "b956d741740186c99c64bb789c87da000ed3c3a5", "0a00b08c51d922d1b30753e3e756867121c7aa02", "0ed1c1589ed284f0314ed2aeb3a9bbc760dcdeb5", "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "732e8d8f5717f8802426e1b9debc18a8361c1782", "db24a2c27656db88486479b26f99d8754a44f4b8", "6a951a47aa545e08508b0b2c6a2bef45e154a3a9", "c48cfef662b39935b4a78ac64d6178870dfbba5e", "8d07fc18aa55c775760f721be4ace03de2693289", "7942d0c6e5d1a2440061f2ea4bc27e32badb9c3d", "fc2b5fa51a275af4c96029ca18789504f9f55393", "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "0b07e4341303272b26be11262feb66c0a4412c43", "bd833fc0989c4eb3ffc88713bdfc8d7480132fc4", "6f3054f182c34ace890a32fdf1656b583fbc7445", "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "e3abc96908ed0ba5537802266672d09df530d7f2", "5da29e393a92632633095ddd5e1b343bc5b11876", "677251fae7ccc62bb776374daee146cc2b7f0f4b", "ac9bdf668852dea5fa8ec4262f10562eda9bedd2", "9427c56810d422bdff00adaec42f13ecbc0aa811", "3540625bc996601a9d04c4027169b7fcad1b9eae", "555222f2ad6dae447eef04f96fa40c1b8a397150", "806c07757431ab3fd91f4276d350186cf6f9b7e4", "b1301c722886b6028d11e4c2084ee96466218be4", "387b54cf6c186c12d83f95df6bd458c5eb1254ee", "02e17f547dd75eee7282af1b5ad2626829615ac9", "2c461388ce3ab65ecbb5a4d4aab122cb7198c01f", "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "6f98c18e834ba2cea0ad0157b53c34dbcd0c318e", "acc37d228f6cb2205497df81532c582ed71dd9fe", "7ad34c3c9647bbfd9e404f802a21fee9e1029f13", "7ed27f10ff2961611bb8604096a64adfa38c9022", "b034cc919af30e96ee7bed769b93ea5828ae361b", "ca50e441e275a3c04299bb6b59f6c098abecec1d", "330126c9dd71b3b0319d6429737186f1f20057a7", "b3ca58539e1407e0fb6b308194234279f78eb1d7", "15c8443f8d9f1f6537fa8ff470ac407bf2185b0e", "02172f4cb49bb3ad4764f0e00701972483e4e85d", "1cc0183d8fbef098d29b6b5f621745ff099f6c6c", "10ba1c9fc82cbbcda26054c9ca8bfbc9d86e8ed6", "96921b313f4c8dd6cb2299de1a24d4e9803ffdc1", "9c1fa04553e96ccc59b9c0026e6e25fb2c7dae77", "cbe1a5b67c1d19aa1fca10473c6e88b4a444f77b", "dc947dc7a948aa8cb8b82f18c0de8707f6064a7d", "c62c4e5d8243da6bc1fde64097b2ab8971e6e51f", "604b79c12304af6826db4ea844dec6b2a2ca4e50", "1fc73cbc0b91a5eec313afcd251edf069b8bddd1", "74ac172076ac9550b32cce7b8e8989f1eb113515", "189355bff03076cc5bddaa11239626051931144d", "b67fade804ad0ab12e484582190899fea14bc799", "d11c6beaf4d08fdecf89ca405a7e5e9117c085c7", "687fc9ffea3ca36d87817faf37492941ec6eb0b9", "5284e9d84ef74683c306314e7a79786438514c90", "68ce5ad7baddf4ac26d992294409d06bb92dbb44", "3d5bb9b38c44448512973e5bbacb5f7468aee2b6", "d4b61c59188b830b9bbeb346d86f950585204af1", "146f989d2cea0e6825543d45c073f90dd8ae9939", "69e4bcb9d7103165176112c675120f88b2ee7a13", "d277a60f2904606193170131ffd0c1affc416c7b", "86a200647f89ed81db8031ccfbcb5368a32bed6c", "70111f6868ffab46cf32534d8b2175693c1bbc26", "1696f6861c208b6a7cac95fbeba524867ad3e8d6", "5fd80e47d53c64512a0b85a4c7a0beb24bc35766", "6e16a62acb76065d031fbd46b3a2af2b1499dc8c", "131125a5aadb48ec3eceb404cedbff713c401feb", "48f0f6d7547f43d068f4d83d7cc682b082cfaa4e", "d92e04cc1fc0bf45deb4fba12f5aff9f2c1815ba", "f6ecf84620d314cc5ae51d485eceef3270bf41d7", "2d48557e4107d93126e7f7b74fb04517697f6a52", "3535ba0cba9bf03443d52cbfc9a87090ca2e5d49", "469d249a40639d4ffb62abfb2c25f5aab0812fa4", "1b8290ff2fe1b04df14f2504b38beb749e2e75ca", "4bc176200ff718ea0a0650145d3d263b0b7dfb39", "000cd8d20d91ded078949dfcde76817221ea96c8", "ef2db5a716f80888e387a18be8550cd7081de184", "846a3d3cab941d0a23223198c9001965d9dd7c50", "698812f7d37e148c0a99e768f0a7d24e7b9605ab", "47be79c0ecb598e1af44e57f386f79adf491f82b", "01e812ad00b7743e9b24aa070a24023f05710b8b", "84346cb26e983981e21faab2623045d6adb2da2b", "9dc291b6e2416d7b8736e46f4c282be0602b3a6a", "7c8231cc89f628cad270f0c2d2228ad749a97d01", "9e4cd22ab92adcd74014709167b6cbb97baa3d1c", "d55d6ccefe797317996805ebf58a74587b158950", "cb2367f93e3bd7b228f271904bd61a5723094a96", "918b0901d1b00d63def88b1b27dbb20df72a0887", "0f3178633b1512dc55cd1707eb539623d17e29d3", "7858410077f9ba94ca60d0f6b4d29509e46a4ef9", "c5b4590d9c539dc893edcec2b54d1efffd221655", "930e61d3693583f9222a724f54a83fb20a7ba75d", "3c8cf97f00cd8b4303eccc4134fa79b15cc3d564", "a2e29b757f4021ed5b9eb7eebf78a0bddb460790", "0d96c9d14f079b7b8b6b56b4fa86f611a4ff237f", "11f4f72f99883cc225fb0cdedd457b612eb76359", "876efbccff569e064e0adfd7f212ae69d727db40", "fabbc7f921d77b5aa9157310df29ad81367fe92d", "64d46b5e05553a06ef9a73d3e2e06b1c611baef2", "ac768ff426a3a04a835cdc627481afc898a138f9", "23626966ab027e041a70b53ba2c059aa38a88c59", "9d1e20c3d2d0d67d3c2f06dbfc336170c772f2fd", "6b57526152a6093171a05499cb62840ba28da660", "bafd1978d6a68db89b4b75008e1bb53aea81f632", "3e56a9b6c6aced2cb14f9cd7f89d145851c44113", "43e5817c18ec570d614669e3940d82791d285a10", "070c979a9138a6b8c3edd5fdbf009a3c2cb877aa", "14aa9fe9b443ff636d792a1b64c1f80cc6c56ef0", "30c5000bd841388d426de26df678f567b75210c7", "9175e4f461aaaddc87072e2b1451c8da7fdff7bb", "004aa2cb4b68850ee006af8a6807b3c1a6a198f0", "17257fc03b611315ae49bd53d229188b889002e6", "056e2c82db905b93f7762a2ee7778d3aacc5a1f0", "b94ec9abc3009cfcd1e45647926b4e5084d95136", "e62a3f0d5d8540abab02b6de80dfdd2811a5879c", "dbb202b5dc073a2284044b4903a6057ac54c034f", "bacc83feb1146bb3d4cb3fa6304090c2ceb6e0d0", "edbddf8c176d6e914f0babe64ad56c051597d415", "10d39dedfaf34d862e3ca7216521c6290044ff87", "1e95a366f9212654f79027894dbedf1ef44ca4c3", "9563d6fafb6ba09c082a57e8d9b31494029a45ac", "b4a2e8d7c6c0b98f2cc4b0f9cf16a55b4e80eaea", "2838373034071d045c360943ba6fcc7e551fb808", "1abadb7a70c9faa69b618926aa4c61a2520659a1", "4143292a7544bce8c275b5f9a118268dfd3db950", "4c462a76517f70588a8406ad2a9fa290b7d77e5a", "eb2d1d406405537773e70f7e949df656ee8779aa", "9c43b59177cb5539ea649c188387fe374663bbb1", "38b3cae6ba1b98d6bc6f88d903916dac888cb951", "82405ab7fcca6c008371a74a23562091912260f3", "fd38fd64398502c0f0fc010939e7f61d44a7b5a6", "09d03b792923695deb0492d8fc3582a50e5f1a1e", "37a95a78bee34bb26a64c7ec30f7bd0496e072f1", "1974b92a19d210bcd6242a2b633603ab3bc88bb0", "5981e6479c3fd4e31644db35d236bfb84ae46514", "fd23492e0db72f849502d74cf8893c9e70f35678", "49b30c39730aeaff5904f89ab5a020086e990e2d", "a71a19903cd3e7c4c7bd9ad4e4586bf8ae9cbc4e", "90c316d4c4bdc94908e68bbe46dd6c90a88e847f", "2c29b082d8e6b90be8cad73a7514ad6e2897923e", "22d8d50911c6b8994f624267677cf736be3c5a8e", "a308ad39f3cc25096f493280319621a25c2c7f46", "d83c5c0fa648de9ea0f8f6f92ce2096d5fa04808", "04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6", "a8f92b47df845b437dbf10b828a742006b75fd27", "5a8a1c7bd50778bd7844704a6fe50d75186f1122", "e5705294bb58bda55f32dfaf6f9783748f0cd7a8", "4f2ffeb4bac11b7df692f08002f207993f479c51", "b03343b99d15e752e7c46eef04308ba496555c89", "bb94a76badb69fd3d11de69f7a09518eca36ca5e", "21f59ece2dfe0181a3c4763318fcae254e80b7db", "0bbd0060e79c5370c6d07bef7b5830e8732e7c1b", "699797728e0e88f9821647dee2c40b86931c1f77", "c4530262874ee564932ddadf9e5208e66b6efa29", "2390f14bf3b52418953ac0d334047e92b5157c1d", "dc94db59fddedb3fc6ae5317ad719808bb5482f2", "59ce048ce1f01704f37d2d60e033c3382118ecad", "23a6b0edc8e6ad88a3d68419880665c193893e3c", "1927d86d26a1afdd4bb988b26ba89a8589675473", "00c86c21c2a842233b381d141cdaff12ef3590fd", "7d8b467a524bfd4d65d6e9481dd56a1fb381723a", "42d9cb791b8aa3a8658e3ac34e41a1bad1935610", "63bf2c8af992e7306210d23f601840b3ca57b532", "46c9e36647f2d5b40555e4e392dd76807c73f2c2", "e8062a0e50606e2230120e44b38a8cc26f475c22", "0bd7a9de611ff444be27a3a174364a5146161af0", "4fe32724ef0dc683078099199fb7c2bbf1a24b38", "18e7d5fe57fd0f660abad7c68bf6b366a975652a", "1ba97b4f02b09c588c3d5189ecb94ec80c339caf", "3fd5a28ea052ad176f32464e594f49c6a387e984", "6506e45c15cf24d9cbf3d694994195ef56063a80", "616b7093cfe6ec679f25d63f62c16e937227258f", "5fea385735997c7e826c7a389084cdba5d6e0928", "d0369a51eaae3723cfe290fd666f2d6be97fd7c7", "4fc90013e4e2297f33a86db106843917c824d6b9", "c32f798663bd00268e3ceb8a855222dae877a58a", "7fb143927b616726f065a55b4455b822b4cc8d86", "65a641203ebbed46a3db1993bd360713c51d9156", "3369b007683be909b1ff848b73a2787dc13ef0aa", "09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3", "44b517a544dafbf753f1b16feec26ec2c0c2a8f2", "eaf421c589034b422d64c2c590d30959ce2d6c74", "191e58d41835d59b918759efb9d7b59fd8e5ee00", "2dc8364433bde6041f38792cd01a6e80a55b1471", "29ade322a7d4a88da0b451d8ff814193991fb4fc", "bd7e61b2ad008741b0845fbf3e1a7a3a9805f147", "a9607714002b5debc0cf7b96a3def0cc6a005198", "22db2fd664a4b838149853d1f3390c6022a9ddb2", "32f9cfe2e352dd036dc19d30374118c2322f4449", "44e3d382ce8d765f705706d40716cb81575281e8", "312b5c73d79ae80f9f8e4573118d372cf29a80e8", "f75e27051d83775f51565b9f700eb03bc1960d42", "0a5c6b73ff2a27ec7c3bddca757643fa11f035ee", "3b6cbd6eee1b75bf6f608065126408d3c3d71e99", "134994ada9a22f82b81640948afde2252e5ad5f5", "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "9dc42551849d808f66dccf2e02c4f047a69c4d89", "c9efc5823212d700b08da5e482ffd46934ae0f58", "3099615de73bb1d6442ce29dc9959ddb91cfc282", "488cb054f61378809cdcea5b08b5005d392b07ce", "88b57bdbab36d4912212a9b93299427defda8400", "1a52e51428c7a867189a775e274ab04dc35f2bd8", "a1edc13e5c2517b57d432f4a6c6b693152e8c4bb", "e4cf6a559b4002b650dde376005a64b064963b19", "d9433ba8bc58a94dffbfebe85e1aca1b6229d6c4", "89a7cafc8b001a95373cafc71ca166d9df231385", "e8d000296ef76d8477b3f2c9a61d08aab6247487", "e53d4731b7c55dac6d70df4e068b79216bf1614d", "66f533bc88329decafc5ff171db0db2beca3446e", "0cca85ee872ae6f6a4d305880b4461f152b1d808", "5c46e40aa1313e444ddb74cf53c5c7ce0d38366d", "066454772e51df9142e99bfed1d83eae1c755ed1", "2f988201fb8316772bca1b44cc0e42f774edd714", "ce049cdb0582ffd46d2b8725c30ce73e48e796ad", "9840b1c84dc8f47979d74be23e2276a12d24164c", "7ef33dd6bc689eb17d7696e2de2d36de73507e52", "17b81e9282da0ba5624ef62f4537bd211a3f5acf", "50b22fa36b05f175101faa1eeaaf79eacfd9863b", "1260950b06b68b2be42ba54112f5856044e25652", "3d3fb9e6e591a39a74665ae6e4d5ed842596d3f2", "ef9f61f1a00351a9c38cb0e9ade622a55ff2a148", "bf9f26780d7207c8845d7787b6003a8df161afb8", "4c989676b701495221433b4c174ee6d04051348a", "43461e78874aff6b33b8231daf6068ec7ff15098", "46888c67aa5351730ce5022cc800239f6557f254", "7227c1d8f53279041822266c7a6d0ac128e96d05", "5e91464e4d9f61c0c6038447d76e14eed6758a6e", "fa43899928dc3ea398fb8542917c04abc5158724", "81b337f2006cd6c8d5fd148a56cab3e5a662d40d", "750465b63c19e8b33743f8f446413382f0239c97", "0ebb98011a941ad8800ab06b374dd3e41d17aaea", "34339f1edc9fb0ac90f363ddbaf39f853495a137", "27785e060b3aca6f3f6e09497bc32eb58b4cd6bf", "aac241c0327ceec5fded6646cc5b93e150ca8b06", "13453bbe7b669e0a6ea82cf0f13494e08f00414f", "ceef3cce226d2f5977ff4366c5fed0e366a11d84", "41b541ff747817dade4653fe6ffcdc50e7b3135b", "247a55385a11c070a9bdfce55ad4da6b8bb8d3c6", "6cd51f1699ceb4f433c88de70bbf46b27f527d4a", "def340ffd4bc0bc57b33a447d99a3c2f64e1a572", "7c65bbde13b4dfb8381ff72f7734c9196ba5d721", "bf63599a05692ba4c18476f696edf98bc28a4f3d", "537639f670c675d625783ca08fe997449cbb4f9c", "82b9a637e55a9faef8f68d00296684c6cf29630a", "ac0fd99c800160043c9d4eb38f369c81f6ae0097", "05d5fa704527ee6f0a9eef2b9a03276b83378ca7", "e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb", "6161ed8a0aa7d5b8791534b093e02e6eca6b1524", "1e7ca1f8393c1a39e60329fce8560be92ac8c96b", "5984c4a65c8fbd02be6054c30d929e76b9b9110a", "152bac3db84632dcf3d8d9d49fb11d7df9f040bf", "241709c37d2a91b79352f1e77f0881f5de709795", "a921dbe7659e4a75c1ac53f5bdc1fcdc6caa5933", "3b1fcfd2fdb89b3534e506beda391305f10daf5a", "e6a5c128a6697063b2560702f792b97c65db99e2", "05a76887cc3f3dfad7f391bfeecc613d6c611b17", "7ebb153704706e457ab57b432793d2b6e5d12592", "2d1e009a7b7a6304903ba183e39395c358f652e8", "87defac1045bfa9af0162cd248d193e9be6eb25b", "c26f8f2ca512733b14ae2dc98e21c446466ddd6a", "ae0aee03d946efffdc7af2362a42d3750e7dd48a", "61003316e5dc4fbb36749a66f37f89a819be73f5", "263977d8867a68ac52ca4f7e19048ba2a51cda21", "09fec2f87d910613a065e4115919ba72f7ca8df9", "5a111966ed112c332c510f9f9d44fa969e155bed", "b516e9f933a573b957f21a8b9a617c8ebeaf1fea", "9352f3f9aa075d14f3402e05482bf756df8e6b81", "3bf673a1f620015cb8b5106b85c7168431bb48ff", "5a6e624b35175fa031dce373c906a340f668407e", "01beab8f8293a30cf48f52caea6ca0fb721c8489", "10f4d6b419365b75d63f24c8e71a3440ed5b5dc3", "a8db91308f59bc9452e87fc553eecea67632c443", "7a85b3ab0efb6b6fcb034ce13145156ee9d10598", "62a44dbadf36099ea4b76c0656adc2ad4c8ad734", "cc5071eec5f3d78053aac92e15e88209a0b08fac", "b5cd7c414388cd42d2df85af6ec99a2a90762b84", "73689865eeceb8e14f39f94bc20118ad243c2385", "903bc3588be010a5a166b48d3f52d0ee521dd4f9", "cfbb2d32586b58f5681e459afd236380acd86e28", "45d2d99922cfe7d0630dddd2e3a6ac478dcd26fb", "00b605f19ae4502362831e33be0f9c03228fc640", "4c72064797e493e65ed9b1e5c1e4a16ef1adf638", "5240e60456b22467ab838c815a4f93821bae6b4b", "dc0c1f211cc684a3b0e6d992fda60cdca8ffe53a", "d1554ed518b37b62293dd58542fa9dcef77b34ed", "ea46d9ab3388a4081bc2378335212ac958fbd2cf", "4edd41dcd724df28302cc5a7bc0bee348fc81456", "f93606d362fcbe62550d0bf1b3edeb7be684b000", "2eaadf87d4d4e2746a351a1c63f6873ae18bccf7", "dc295e85e698af56cd115e5531b66e19f3b9e0ce", "3939778ca4175aeccbc31d310f9b3ec8676a5030", "b702545c1076f248207549714453fe5b48cbde54", "0b7667c2cf78a96c0acd5194fbf46d5c288bda58", "cbc562b3d3441b82ac756836027e0a085d142336", "64b88125bf93a26f9e15bf57208f1cfe6e31fa1c", "00a24b3a377fdb9b31e0f9d0860e48a95c17c304", "64e166895e08dca66c54dbd617a6e76e1629e7f1", "138a89f4d4b7e44db412442c1721b582c462aa8f", "6788099f9e6b165927dfbfa71065d4c37ac97f27", "181dbee10a8273545eede2efe9b85553cfa1bc30", "4fb70690308d7322f63508b13e491edd52c1486c", "2d45cfd838016a6e39f6b766ffe85acd649440c7", "2b2887d7c28f18147094c92fa93acb3d45a42b76", "5f724a84647c5a70865509910070077962433dca", "b04e96e1fc56c11c43a6fc3e84ba4ca95905e2de", "c66eb0e17076bff559d8f94a8f967d52db2bab01", "2a08147bf88041c6e0354e26762b4e4d65d5163f", "c59aa01d1859f3b2d0db11b3d768cb3e526b0464", "9abd6bac662e8fdf4f71ccc26a89f7e360b7b879", "5eefe98aafffe665b19de515e3ba90c9c0b7219c", "3eb9f4ca21bd104b1d9963a5a74e0ad48a1a1bdf", "878f70f6abb83f5158ca0bacfc2bacd49b1886b1", "72f4c415b5f3ecf63380b6985c95c5af2ba72632", "b613ea6c4fb5efdf17af090d64e9bdce41e28711", "093da3310d98b3c09e2770c2a6aa49eeca58cebe", "38283e35371f2a426305dee60e80cd28abb4f349", "b0bf1be8731c60b2caf3a27f1e95b73875c4220b", "496e7b1c02a786ff0e2ee86711f03a59ae0abea9", "6987aa3d6896c5837124dbb14af529133984104a", "7e49a6f11a8843b2ff5bdbf7cf95617c6219f757", "488370572904a8fd97f5bc68fbdf0b3b3984cc76", "fb42787f7f4a5e4cede43bf97eca216f12e354fa", "5a4ef8b9db11833e01ca8e715c6eec928bc80df0", "aecce5d8e06da797c087fb361732e84e62c04c4f", "2a5823a387e248c4e7312d49cfbb02a25519251a", "18c1d32045df2eb7ff451b132d023d5627255f7f", "71899cbc5b4b25b2e834919f58d7620484d7e848", "d3085beb80b08376ee8d3bb79d1034a4a9c71c8d", "30e2b97b06590b7e39e6e53976c5b8265ed7392c", "b5747ecfa0f3be0adaad919d78763b1133c4d662", "da995212c9c8a933307cd893d862f5bf7d99f3ec", "1bf0b5186af083117af136dfcb08ed28828664d0", "24d0092a3fc2a414b73fd453c5cdd229fc0cb174", "188d43b5be038c705c0e552d5cc3e59980899a4d", "64407fe6fc65d3370427770544be0c7f2447e0f6", "696e4f16723db3d1cb7888acb9ab6924a40cebfb", "d066c86c509d543b549bf865bba6dddf2987059c", "4afd11632db090f518c2591f46523bc7be95ba2e", "7d953309fd93d86fe93c392dcb60d1dec3de797f", "71a95a05280068bba8d4138051f1f1d232e238fb", "12c262912f4c09e6f34d40de77f68b465d80ac8d", "0155d5876b55da1da649754e84d025dbfc00d8ea", "9e8d87dc5d8a6dd832716a3f358c1cdbfa97074c", "1b4f6f73c70353869026e5eec1dd903f9e26d43f", "a86b1198a2d6dfe57e87a5acc33a747a69d1fdfe", "512688b0b730a6083a282e52c6304d6f33b406b4", "3769e65690e424808361e3eebfdec8ab91908aa9", "8052bc5f9beb389b3144d423e7b5d6fcf5d0cc4f", "2d13971cf59761b76fa5fc08e96f4e56c0c2d6dc", "036a8bbbdd432c8eeb87ba67ac673750402657c5", "0e986ac9484e0587b6ccf01a5db735b9bf185157", "c817c3a0acfc49f7eca0e9855b550e242aa0a6d5", "c9ff9d4dc27e698a4795619a1291a488f23fdfd0", "346a877564351e4014441a1dc174b0369a759ba5", "12798749dcaea21d5eb1cdef59d1200ca4d12fbe", "d82c5c606d03ccc5f1a216b52f3eb55c2d181742", "2e1822bf06d80f5ad07a79a4bfff98c1c18fb573", "d4f8168242f688af29bcbbe1cc5aec7cd12a601c", "a5d525d27a55c38879c4becda7af7ad04406708e", "16f034d56a15f3b69e49b2b216bfb650582ef0a0", "ccdd6874aa8924152d0ad4a74a37542def74eff0", "3bdf8de95b8631af1c6ed10e5c9dac2ceccf571c", "1a29f8e4e0578a799b013bb0a9043b0ed693a32d", "9805d810286c494ead550bb3dcd2e5270e7a59d7", "05a2e6a5240b77246e26ba9875213c3157cb2fca", "5bf4f97b631937b2176db9c80dee965e2e2286be", "e052b3c2e11d298e53f06ec1472c1473b9b7fe1f", "529073b49fb28e8919d6862f2ae445477c7337bd", "26d3887193808875115f68c7fd8ef9e86659fd3b", "6baaca1b6de31ac2a5b1f89e9b3baa61e41d52f9", "57f3a6ce22c050ca78146b6cc5475c46789647e3", "b84a0cdb313554f43282ad10fc6305d758a5c51e", "49a2f3262958465c8cfd5a59bc0f9f4effd1936b", "4adca62f888226d3a16654ca499bf2a7d3d11b71", "d826a79848fc79ce2dd31792136c68131af5833a", "f6d8b67755af67d469fc1b68c52d4c9910eae0e8", "ebb0a67e17f26dbb829b8a6b4b02d412a589efe7", "9245248acf2b99ffabb00b70b9a60b8dc26ef7a7", "f9e92f5768998fbb876fb41facb1bba17b10c7af", "02b0e93e4778fdfe4984a3cf5174df64447fedff", "c3124b0491d479e8a869c61f059ffa08dad49362", "df9491cc46eacf66bb963a699b73ec1a82aec4eb", "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "0f05eb2c216097ae75542f951413a4e0a5513db5", "ade2266f249f91767b0949ae600fe1048237e567", "fecad388186269e3d8d71a75c42f56e661861c3e", "2c3138782317a97526a83a7ce264c0c772ddf7e3", "7f3c226f2ee3563461a4c5a2c323fb34beab80f5", "e1e1937b4d9e369b41575d6aa437e1b0126f187e", "149fd33b98af3d15292f7787a048c980e27574b0", "dceaef5e7cbfc4d0150c2d765cc3df4349b8b2bd", "24d68f3e7ee737463f81e9bf03500afa7b88f913", "91df860368cbcebebd83d59ae1670c0f47de171d", "085f86db9dd5e8c62889bee829443e9208cdb889", "48850f2f66b3f3b6bb93638ac2edae6060b79521", "0e1f6abdd24a4e929511740168e2f67351751302", "a00c0928a03d58a365d086a8df76ae93caf7cc63", "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "4b3c5b49fa099a77c98bad4b5299c6b4eb0a8f2e", "0da5384dbd1646ed722bd9dc7f7387cbcadcb41f", "d6a596c71828b7488d62627fefbe7fff123b62a3", "532804f37d77b91052dc2a4d75a2b756d6754d11", "50759809ecb2bb6897efe1d2a7716c1d2e522246", "32103c021e4d52f9915c3236669de5da973fb13f", "bc40057335e589c30e0b6c7b71685ef0433b5af5", "f8106b414d81df11ef2e9c26dd83f812711eec35", "3902f38412c6dd8915bb408dea500650864b8d6e", "de05ad26b25b7e7c4c3afd133c6aa2430939135d", "663efaa0671eace1100fdbdecacd94216a17b1db", "ba244239a2700b13307a112d09c895cda2fc9af5", "58a85eabed3a0c9e596e1158bd3ee54eaae4e7b4", "18d4210a5bb56e92045ef0637208685abaaca6a5", "067f150a431ee5351f53a8c69423cd2e33ee8e47", "30fa389899ab0577779ce0aa19d2a69702d251a1", "29d2b60bdd998479df7f088859905379e30967a5", "0bfb78f254eaa6171b0e56dc8dfbda824ef22d20", "efaa24efd9b1adaf4b0ad708147fad3fc12f227f", "d387bea00ecab8217ce665fc3c41eca04e24645d", "061c84a4143e859a7caf6e6d283dfb30c23ee56e", "0cba3c4ec4c1dd85b637a078b9c05244196009e9", "67e488d4d31d65a31d4bc2a3337c587720af2a12", "100641ed8a5472536dde53c1f50fa2dd2d4e9be9", "2f0cd9b54de940ae8c0db2d7aab8510fce45b507", "c41de506423e301ef2a10ea6f984e9e19ba091b4", "e31f3ce696c4b1d68ad44418fc37eded2afe75af", "19676dd4422301a11aa5fe5e5316e2c412987302", "cb3f5defe2120076ebbcc89b9256bbfcb8b4d8a1", "12fa75f90b0dcf254c33145fe08e7ce0f099066a", "26a6ee00528724c7b61e22cfe90b994523b88d00", "f4f5a68c8e7a90865c4e1a653db4ae788e387bb1", "0a5c3af1d2e3bec09a2475134c4534a596c8759b", "2e0a4a36bd5e631fd9957d8f45bfe3af7037b001", "3640fd39a0028f6b3e250fcd338dc88e9403a248", "1e58d7e5277288176456c66f6b1433c41ca77415", "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "431dc992b6f38b9e5eac4a5706af8dae01791334", "2bfb43cb0e72aaa7aff71007bb420df2c9ae4375", "5e706ba3d5c7237a580716aacda350b867c85e5f", "4d803109f3d9cca7c514db21a0494972d5681faa", "ddbfea5302fcb5cbc2ca4c498a592ddb063b9eff", "9831061dd9f3e53057ce98aa1208731119cb7f12", "0ff507cb9e30d48b811d186b1d700e377427d749", "60bd27eed0ea7294609566bae2675f544c6572a8", "ba8e129724e86984d7f935353941cbc9b134e171", "99a898c0e45ebe96403c6d57afe678ef2517e88c", "1b69b860e22278a6f482507b8ce879082dd00c44", "5fb50e750f700f920f06b3982bd16ea920d11f68", "ddb27eee407aa7fca166544cf5c2d93c5f0e76ea", "10d710c01acb10c4aea702926d21697935656c3d", "76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765", "2a7058a720fa9da4b9b607ea00bfdb63652dff95", "c335f50ba3cfe1831dae0189a2e585d17604c150", "b917e8b974dd96efcfd84e765d81a69c96d01107", "4b18303edf701e41a288da36f8f1ba129da67eb7", "d6a2f269e0772817eb7be7a7dd84fde8a821aaf5", "1cfe8c1d341dbf8cc43040b37ca3552385adb10b", "ed9f7c64c88c6d4acdfb27a0fcc4e67067cdeadb", "0fb03917b4c6ec8b840cecf25b5d3cd0c101fb98", "9a0c7a4652c49a177460b5d2fbbe1b2e6535e50a", "4508afd43a616e62627a5f5c6089bb3b3629518f", "49d76cef9a31d18eda22057cfc99f7eb9e25bc7c", "022c485c5617bbf0b7f40475f9758cddd11a91af", "592f14f4b12225fc691477a180a2a3226a5ef4f0", "bb030eaf7c25953369ee111dc1555f4f85409bb4", "98582edd6029c94844f5a40d246eaa86f74d8512", "be4f7679797777f2bc1fd6aad8af67cce5e5ce87", "a81cc726d1f73521de45a59c9f439a31bb341423", "f26097a1a479fb6f32b27a93f8f32609cfe30fdc", "3d62d6da226bbbe330bd715a33f433f16396f2ec", "2c9f1d0b39ede81a6a05ae015ca95f5aa3835684", "38abaa549c4f398079dc5b1e5957315f66918e23", "4024ca2514db910ca2bc666cbbee418a1e164229", "20a052963f2c46aff817f34a09c396c44b3e46da", "80bd795930837330e3ced199f5b9b75398336b87", "e427c8d3c1b616d319c8b5f233e725d4ebfd9768", "018e730f8947173e1140210d4d1760d05c9d3854", "094bf2413bbfca19992aa9950ffeb3a0a7497a82", "beb7a0329c3042c2ce63b5789e2581bb8e2dbbea", "6eeeb96350c676bbb9bf765851362e590e32eaed", "b051715249e47fa7e987e1a5504830af0521c38c", "dc84d3f29c52e6d296b5d457962c02074aa75d0f", "b8f09ff53e5a1700492100b8cd1b9e9783485376", "094357c1a2ba3fda22aa6dd9e496530d784e1721", "40614596ea5ae9ac78a88bed0419366831f9715e", "9fb90b8fc2439e89c83a661ba4a5ff0b4100252c", "4e13efc986655832e917f126856875da86de6792", "28744ee615d343e7372f3bd5006b7822c66261f6", "ab4d7c7bd1335ad608ae16920e459585b131696e", "42ecacbe2f2c2c1b209048d1a8c384995b178dd3", "57df27685196fad070bd2da14ed865fda87d93a9", "3c8d892649f91b5a7778dab0db751f6ffa0e3154", "2ab28b7ddcac3e1879d54d4fc83c5849b60acf79", "290fb91615adc208ff79764f04eabc74be36936c", "5b39c05009336851580571b7e08e59afaedae5f5", "09a99ca583b0eff0a34de32b4eed23d6d8ff14c2", "adaa47752ba813f0a11defa60949f052de6610be", "820b1349751d7e932b74c3de94b96557fa2534cf", "68a677a326a290a82bc08686465019414ebe1d98", "3c1e1961db0f0a351d5a4e21cd30bcbd9f88be57", "68ee4a2a4aecff38598cf99e72bc21a6ecbbcd1f", "a7fc39214fe447f650441d033401ca73b45c6633", "325d145af5f38943e469da6369ab26883a3fd69e", "607d8de7abdc85a75473493e37a001c6b061cabd", "073bcb3b1aed5cdf7bff4e9fe46a21175f42c877", "37d579112296384603c61150d8bf78fc588424f1", "a7b4291b1feebaed4a36808df2a17a3e452b9efa", "a8e2b2b1b76491336036005d81be57d256acdd0c", "09dbdc05f0f093ed71f6f29abbc516c58c75ad2a", "584f64a12382c74c72410bd46bd0d636697c94f8", "a84c039818d2abeba21f792c0522e9f75582518e", "12b29fd079e047f564e115e6106f750713eabe61", "131e00d1296a952ed236bc264dc16f7e486c6e79", "e0da17d5a8460ab74d4e8db338779feb2bb9fbbe", "04b559c0968751cc89980de3429c6bd10d6a1750", "d865c5e85191cfc0da714290d8583a2fb1179fd4", "39db629b96eda72a23a49d54f32689e0651ca4ae", "2e68f29f26f91985e0ad12b3229e46edefe1e871", "48d7d9cc8e7b1d2c64dd6ab718e1883356a4c5e6", "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "2c2f03edc9b76e5ac132b54b2e3313237e22b5e7", "d0296efc3c532269aaa7e8f856f5d1807af847fb", "75f9d3533f175943e33c9155f4038488f32a24bc", "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "366e650a578a3732ebe10267f04bcf9d3129f076", "8aeb3d5a097d33fc20efa046c0ed6cb886498d42", "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "1491d0938bb4183bd19f2fee3b61997e1918160d", "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7", "68573e296f069071d071fc158e974e8bc70c893f", "f7b422df567ce9813926461251517761e3e6cda0", "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "f519723238701849f1160d5a9cedebd31017da89", "4b9ec224949c79a980a5a66664d0ac6233c3d575", "10d6fe566125597195cf985084347139a8cdad1e", "71c4b8e1bb25ee80f4317411ea8180dae6499524", "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "ac12ba5bf81de83991210b4cd95b4ad048317681", "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "52ed30920f2f96970c4f79d6768436ed855dad42", "12d813f14166578dea8aa6aacc945102dddfd05d", "487668cc36443a67378f253afe05a550eda2c4f1", "d934eec76a2588934094098987de72bdf1214d48", "30def55b6277f1e636dfebe12799b12a1b3f48a2", "c380aa240ebcdb8bf2cad4f30bcef2390fada091", "29bd7de310438c2b9d8b6e7eb7df662079934747", "6d8a42dce4d79435c42bf8eefddbea0e38951f4e", "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "bca7d615cc143a255c0dc65235ba1acbac86ba32", "4b421db0f57608470ac1e26077ecb8a6cdccade5", "639a60373d3592bde75cd5b12ce07cbd6e6639d3", "db186bd2a276a574b2246e3e4d136f8a07c53ff2", "1131088237aacddcc078547b4455e8572c61766b", "0b83bfd13552b57fe551b6fcf088fdd3d6055854", "7d6132a884d2b154059c461e107c7a8c41603ef7", "041ac91c85276f61bec3f0f3c42782e4f9a31f88", "eda6da71c261df17b4b9da5e72aad7893a871a84", "4b0966b65a4854cea31c2078a3ceb21637dfb1fe", "9ec74521d03d41f4157a458513c79017dd066a38", "dfbf49ed66a9e48671964872c84f75d7f916c131", "62195ef7e2f56063f8a7e9fa27ffbdd1a5696b4e", "1cbf3b90065e8a410668ed914e9d03a94a4d94aa", "d67440791eb55e36ae1470cb37da7ebe8ba44214", "0b6c912b0c6beef4aea8cd7d0a265483caedb7c9", "7910d3a86e03f4c41fbbe8029fab115547be151b", "82729f984c514bd0a5157c28b75ff0236d609384", "e5bcbfd346121769b674a7ad35e594758de5553f", "81a51cd6ecd467abb1ef38c8e35bdf1885f96fe3", "35f84e0020c26715691825594e2cf5553467a0e4", "e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6", "e0e8c7145c9b389dad2f4e1982f2b9c31b766503", "cd4bab5d6845c2141c9b3b635d99dce1db446028", "2bac4161a928eb33e6be700ed8ea4d823494b22c", "64afa85b79c7ad60d8f3f9265259c654c03a01e8", "0cf333cab1a9ccf671cebf31b78180f863c1caa7", "d623428f02e80a689eb58d022237daeae2ae7b9c", "51fa0924576680490fab445bea7b8f4a649d8161", "351c7e6c2e2fd894626be20a480fa5749e016dc7", "87bba3f4292727091027b7888b5d8f364425344d", "35fe83665c61adb513781c7208b92706ae2a1578", "eb4edbec8cb122de07951e3cf54c33fc30dd1c19", "102c02bd78c2a4d9a028b779933ff2f164e1e927", "bcb12dd13426ec7aa4d480ef829fef798f0e374d", "1c42f8ab39e22225ffd3222baeba4863435220a0", "0744143542ffcb45b1ad83078c23efa9d3ec2be4", "601e0569028924cca9b5f1afbca6f52aa7212c39", "486f08c875e88b3f1f157e7de1ae2cf5176f5431", "6def88cbf839bdcb2a61b3fbc82ad393ae3e23a9", "f61b4aa14b052e143db302402cf976ee93cb4eee", "c92e701c908908bda407f12edf6984b283e8c258", "5cd11d6b6cb7a2b8c00fcb535879edbd6b008a01", "4fdbe95edb967bfc0b44f0fa291cd86b178fca2e", "84c8eb2db35f7fd38c906ced741e2c5470ba7544", "a2aa272b32c356ec9933b32ca5809c09f2d21b9f", "1373195c26eab581138579f7389cdf8b7a94a4bb", "9c59304a619b7d503be95bd560f90be976a5309a", "8ec76d7d4a9abd09f088fb3f7a3351a7fda1fde0", "d9fda0030ca349da7b1dafca015bea95a6aabea0", "26f25c552f0d82d2d774e66e57d337bebd197d24", "b648d73edd1a533decd22eec2e7722b96746ceae", "34510d3b68b23cc829c5435ac12a5041a8adc50a", "0612832338287cd6569cad32f147bed6df134223", "92d5fd4ef31cf86a650c7b01c26f0ac93304f98a", "7f1d7688c4923cab09bf0a548e6f1fc1dd916b51", "9d1940f843c448cc378214ff6bad3c1279b1911a", "91bd017c1b19c36e430a22929d8de3af0795dfa4", "f83e563288e5d7a54444bbcf28a28a37b72a0644", "dc16b42a64741df2881604f28788f421e422d297", "44bb6ccb3526bb38364550263bc608116910da32", "dc83f97a2dd241bf1a9f53ad11d8f10eeb4f5dd6", "15e6c983e74dcf70d8a557b75bdc172e36692191", "d8c04365ed0627a5043996cdd26c1a56b5a630b8", "96fdc0131dc80ffa6d7b9c526e07f080414c54ec", "251f0d28d62b2651b49eef4d044c0153f51030a0", "a97f3d2313affd35c889c57f2ebe21e7ba2b5bbb", "15292f380f5996f539f4d5e93dba3082d53338fb", "29f46586c95af2fa6326724c867aa88b55b5400e", "7793c7431f3ddce74fe2d444df614d8d8fd9af4a", "43b3dc931cd43a490de3206fd041e118e3651d8a", "b8969d6e5658b360111f33d3f85eac63afcd7252", "0874a262c2ec7082658cbfc55892ec6e5ca6a374", "ead1db02b36146ef5c3ef29a1cc411a8f01bc56b", "c64df6c368b09d61c8319718d7d538a58392b01f", "5c76da86238e35ba0c01d5c0419a7806b8e20789", "9717bd66ad50aedabaea0f3af784c7ba9643b686", "ced4853617ba6af27f5447f9c4de07c3e05e8c3b", "8a790c808c293cf5d8ca089e8963b133d1300712", "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "1bb737b69878e8e9ce6a5b6a3c87856521c7e9a0", "b11872621d9550ec2f1d09f2f02237182744e2ee", "11943efec248fcac57ff6913424e230d0a02e977", "e63f4867c73eff9ff7cdf31246585a6915acef57", "282578039c767f3d393529565cae6be56fda6242", "55ea407e4e5aa3f8b8ba7663abdf8926dcdafa19", "4b3c1af4369c9ed6714451643ef9c06969849e73", "3e7ffb5658cf99968633ede18785c5cfdd6aa9eb", "7fbdb1d05a34d28b7f93544248edf7a2e0b8cd15", "c1130d5c7bb1311e04cffbaf2bf6cbe734adc2ac", "6f4a671537c9e60f042808451ff0fc06032d1221", "24c6240c511f4daa7cf51e28b0a9fb15e365d4cc", "2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd", "a1d6c9a03075848014e9bd9baa6edda25e512963", "14d037b6c84df142a3f60e21a4afab834d947885", "76d8b370d0a8fc63ead6ba657dd438d7155d659f", "3f6a6050609ba205ec94b8af186a9dca60a8f65e", "92de2ed3805968d6d95da4fa9c44423ef50a6a37", "661be86559295d3b2cbabcd31cc90848f601f55c", "19bc52323383732c3c7d73e11726f6232515d2f9", "516668a41d6106232a7cd56d20d3b3da343e5f36", "1c557a18fd8f4f1052ff3f831a694bd50ceb6664", "b02342a423eef6e19f473eba26b067405b525f16", "63c7c8dff73ec6798e38ed7466a4f8ff8a87f879", "59d88030c99de99d18d16dd5ffab7c0bcf6ac58e", "b018f4ea4b46701103046c472468631cc28ab311", "97b54703c267deef8c86ab6240c24d76a59864e7", "c33289788ca69a55c7eefe6e672c82a0cac5a299", "cfc22c35ad191cf9d70f4a3655840748b0e1322c", "c72914e2e999c99753d1d0058c459af69af6662a", "147c33df99dd52502d65fe390ee45c585349b3b3", "8641593c67d87d81e528448a527e45fc9a5aa145", "7df103807902f45824329ab9b2a558b8baf950b2", "ea2e15492a0080b90b1fede934bf3eb7b50e472d", "5921d9a8e143b6d82a2722d9ee27bafa363475f0", "e564268a03b21fa092390db0c11ba1c33d2323f9", "fe43388bb2d939f2f9671b50dc0f47d8bc5ae6ed", "4d9d25e67ebabbfc0acd63798f1a260cb2c8a9bd", "d94395882da6da17cee0a6ea6f1058314f091f05", "c610888cadcf2aa45e7367f43e42eaa7a586652e", "f2b547b0bbda1478cbecbd5c184c3c42c3db7e3c", "87b763bdb23ed72e849f25a19879722dc2255ab1", "7f9cacb5fc126f87dbf53dd547a9fb9f58ded557", "120339e6ffb6748907d19bc918a743221e59372f", "d44647349c2a4e3705ff347532a159c3f92ab531", "84e3629b1c1c169125f777870e2009d8bcfdc2d7", "5ee220b6fb70a3d4d99be9d81d2c0e5de06ab3b9", "844568d9e49ec34536502bb8c66d5578c962abd6", "26d08a90848c8dba9e4e7c2adee6c38d713699d3", "8d94e72ebcbc8f93dc60eb42ac7058d6a94e8683", "a6a1a47c6cb2336c78f8424943eaf9f01bbf980f", "6ea6be2c270f7d366e9e93ced7ea5a17d3a24c1a", "5ff708d399962a07f77c9bbc0d5efda52aa6915e", "e21b1c10bee6a984971dcba414c22078dcfd21c2", "8f0c11a3332c434af11c01ee11ff7c492c7968da", "3f0126f467802562505d5f551dfb6bd138180268", "cb3010ae04bb144b49eb0c1061b695998d3a7441", "291dba3baa7d42f1e30b26a714e525cb73c05af1", "12f2325789febc95c9b453d12194bf4a778e60bd", "dc3cd4e110b526cb59bd7527d540120c5fae77ce", "ab134c9244c762f1429ccb7d737610d17d95f019", "cab372bc3824780cce20d9dd1c22d4df39ed081a", "3a13c964cc7adc5f010164ccb91d150457685a78", "6ef190ad2c9c6e11d12bc1b51a4c8a11a4692fb8", "8d7a55d184659ac97d02061a660ae4e30604185b", "e524f222a117890126bd9597934d0504adce85ec", "f79267b0f4c0110051c93f9faabe436215e4fc28", "0dab1ab19a44b73ce0fdd15014b635eb7362af3c", "ec29a0abcd80752674bc0404fedc2c1ec2c7341f", "90dcaeeed3cc5c6001a06e9fa674845a8fd471bd", "9d34280d545ac91031804931f4df7c31b6ab6011", "99c69fe118efbc47efc91ceaa3b2e711405eef20", "578e002828e5e106dd660c7273ebcb014e8068a6", "b18dad1d2d725ab6db64dbe678a033464915f074", "fac36fa1b809b71756c259f2c5db20add0cb0da0", "6973c343a4a59476d57251651551286d4bd55d58", "c5ab6895710b5eb7bb783456421dab70684c017c", "3b73f8a2b39751efb7d7b396bf825af2aaadee24", "c2353b9cb7cea1081ca203f8c623b12f7007ba9d", "6729fec79b6cb472b4326745a67c6dde5772ed95", "850c5d1f97eee47a1fdaefc0894b52e51a3145fc", "384887c893c72f1bb19075f03e20490ab003c791", "927b52d5caa2a38abadea5be6b531c1aa03d99e0", "fde6d64175c459a26037a249e31c34cc0c9e3f7a", "edf074a5eb3a1f71cc710ccc42849dceb27e3531", "ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835", "57680f0d53392178bb3c431e03bcd8626c12f620", "d1c091bf9402f1caf13892a3fae39326507401be", "479fa087bdffcd574470801f76eef9faafe589f5", "6e6724b247d452f3756d2ed5fcb76980f50066d1", "5f50b2c187718e3ecba68a1eee492f6f1a0c3355", "5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e", "3947371c9376c8f8d18470f8ad8b91c1925397e2", "8dfdfcc3f34263779871d023fad973f4a1966ec0", "825bfa844e4493f205f66782c6ca68aa69018d9c", "d84e075d571193bc616218a84951375e63ab20c8", "1ba4d5d3b0cb46d61f23279f70ae42735601a60c", "fe3f495aed57ccf889d2a42de528da5bcb94e36f", "703f8f9ed65ab87e67716cbfbee0e323aed5b9f5", "633f4e4d1e29d336a5472a9cf43163fdceafecfa", "724a493411b7c5a904445406d3037df4a22b6c89", "4b4763303a15a4c6313bfb386756437f394a0129", "b2e2260b8d811948e71898d3adfa8aa6b64fe125", "8ca0a7f2e5a7b1676f9a409c3ed5749c8a569b83", "ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa", "f408ee71b9db38ec1b1b785057d50d6e0d9b30ba", "9015fd773526e21e352037663de3f586ccf4e907", "f6149fc5b39fa6b33220ccee32a8ee3f6bbcaf4a", "45481d31c19986eb5cbaf6bda54362efb2fb7203", "5f88bd922959590e0dd66d71519bdae75485e994", "2cc6e67be5c4acd451fe3e1aeddc4d1a0ad051d6", "32f0c95cee39eba143452d6a0fe93283575257e6", "e20b53bce9198baf7cef711efe9c1060b9ac07e0", "0b6406bb39bd18814ba5445d815b5e49757cfa03", "de87a5d5fbae0733806ba965b2d70fd04596f6e9", "950cfcbaafad1e2aaae43728fe499d8a4c90f6ec", "dddfc10d9649a936cc440c1f3590b14e51a81daa", "55c22f9c8f76b40793a8473248873f726abd8ce9", "baff74e4a9880d7477799822d8e68224466f3e76", "e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe", "023da8828f9c039c20ac9267a6b37813b74d4824", "1ad823bf77c691f1d2b572799f8a8c572d941118", "5578be51e09379061f526e8d0fee65e3613eee8a", "ae587a4a8842fbe01b9a043b66f762a89dca5074", "05929f5a20147fe4349b6fe76819c023e53ad8f6", "8948e9dce2dfaeb1d93ce146fab5364b6cd342c9", "12cecce5e5bd53212830cb0b8f5cc593a58c215e", "af053b8cf39612cec0148e14a9c4b7a789d7db11", "ca6b78e3d12134e12305fa4bcdf050ac102781df", "8f0b2d24dab016764eebeaa2070d31801948f6f5", "eaaec63bb86ee87d56f5844951143485ce84a4ea", "90943f17cb224c287d1bf117441781d43d2f9b49", "6a9e240e5d84b33c0835cd85c96c70ad5ffdc49c", "3a28fe49e7a856ddd60d134696a891ed7bca5962", "4910c4d7eea372034339f21141550f6d7cb28665", "20380acea8e7fb3819f994b3e6dcfcc3839d0b96", "8c5fa29c9bcab3d518fdf355e9da62fb0b58905e", "d8af6a45eaea68adda8597ae65f91ece152f7b21", "6a553f7ef42000001f407e95f4955e7ddde46a83", "916e217426eb1c56be2a74cb2a3b50cf3904a5cd", "8de026cf8a9a82d55743aaa4ec18c86029fda096", "92574a72c660a86a7ded738a1350851f416bec03", "b1edff56936e5d306e51479142b98cc2414c1a56", "6cd7a47bbba11a994cd8e68ee5eae2fcb0033054", "e1e1b3683ac278386cf1569e97f9aced0923f4a0", "6ce1a8240b0eba18c40136370e143209dec4a5a7", "576372383bfd6ce6944d885e60b19151efdffc99", "66b37797286952e7735901e152b4cdea171e8567", "463bfb0b55c085cda77c2c6e1583abb64baa5d0a", "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "d2c9f842ed2e36b14b9ea2bb2253159cf5c495ed", "c64da9bbdc9942decc4566f89e13d991a6303683", "a89e1fc2681a9a399cc5008ea34b5ec3fe7ca845", "564065591bbefa36830f99cca6110818f252e5f6", "05f988ce9a92436f194a8e06ba21b6a62a3aeef8", "02c44e0a7bb179be03601a7abedb006a28ad4e23", "277bfd1bc89044b4a523ef23f48bd053d5560657", "cb2bbc19ba323ac8a7d0530fb605462c8e608e1d", "aeabcbdff7ab810b961a9f7e4399b6c0421d00cd", "0f22005f8f2bc134f02c4a76cde30349e3389b8d", "1957956856dc04ebee5815bd62874687e2af7260", "22115fc69c612832a39187f3f1b3fc6fd9c9084c", "b61fd19071b887e7f7b91c1473af9fc653a560d7", "79d50641eec7fbb6588909f96aeaef4a7b42c9e9", "2c797d2daefba6cfceb8510219163dc7dcfa0a66", "fd070be9327291e229d3149ec60388dd4dbf74b1", "40932ccdd7cda22e90c1e16b4a4dc4930b122a9c", "9c03db9ad53be4862625256a24f56cc7b0a79c23", "264dcfb5be3f89dc0950472a2a274ef7b641b1af", "bb980dd94463b03c6584513bcccf780e43f089b2", "28b8d20162f007eab1acd9d7cdb8baac914de820", "99e1fd6a378209d48c12a70229e4f6d4d83f4417", "877aff9bd05de7e9d82587b0e6f1cda28fd33171", "02e9f1bb203a5ade98308eaff4f6a5c96a2c11e0", "429961112a9b4f08f6b68acce8868b3468d72c6e", "030ff7012b92b805a60976f8dbd6a08c1cecebe6", "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "de8a01d36df1c3a881523c3748fcfa988710fa15", "9c07704226e536834c4a8c01e1eb428584bacec6", "def3b2254caea169c5cbc4b771c44f1773c004fd", "c34ec5dd51880acf72336e85e4e45da5fcfc75f4", "daf74c34f7da0695b154f645c8b78a7397a98f16", "9c2aea0bd67c7fe232cca54ee2440b9d666479ea", "9534a04de5e99a44df76ea30140f66a62e83fdaa", "0a40415bdfe4bc9ef7e019e4f1442a9fb61f58b2", "eadf6cb8f16c507e4a73db33da201cde3d9b2f5a", "512f7507034e35d7259845bc5e4e174ef2f652cf", "98bda8768fd4a384695ecc736876a87f51c4ca0e", "cb4fc4d49783f2049c48a062169f04eb744443ec", "aee79e0ba67506f1908e88463f1904a8c056cbc2", "84c01c9760cd294718bd7c4b4c93596db1e5e068", "35c473bae9d146072625cc3d452c8f6b84c8cc47", "237734e3fd3abab005b0b97d61416ee16105f902", "367231b80e8201fc9c461fbb42047b20e89ea961", "c01876292b5d1ce6e746fd2e2053453847905bb2", "93dce341666b6a57f8888dddb25a3fd37df69b02", "6e40b120bf46807ef28ebdd8860e3109708bb888", "90ce797fd1218768737f1611cf830a70266e60f4", "0d130b5536bb1b909ff9a62737d768d4b4fab2f6", "699a7c88a6d226f59c7a5619b3cfad714415c31a", "3896fba68bac1d13478e4b8c48c353a44c958ee1", "7cee2a2bee27657e6599b13f9ed6536d5f46fd0a", "16022bcba6849cdbcf5866a075daa8e24c218c13", "658c802890c7133e2ade778b5d88b68bcd0dca9c", "2ca4934e250810f20cd6beb5c131301ac4b54cf3", "072fd0b8d471f183da0ca9880379b3bb29031b6a", "7954a1bd6e693da8f2ae69ad01233e937d600e9b", "c92f26b4a7116ab923e84e351662d1c8a6048b47", "a343bc9239a209af45c43f94b86651fd0074a364", "d6eda0c16d226976506396653d14044c185eaf3e", "4b69bbb6dc2959ea3d2e911ed45c6298dc531490", "90e994a802a0038f24c8e3735d7619ebb40e6e93", "242dc739b7cc49a7f54967a7d75d8a82f92bef59", "d3c1612ae08241dadf6abd650663f4f9351abaf9", "81eb9fca9093f58eabb8850512f8f46fe2bb07a2", "cba8b9949e71ff485a4ecba33128e2f206651cac", "74f17647637fe068e237d8d5a8cc37e081ec03d0", "d0d1a18469bd41b9464b393b56d209d53869bd77", "ac88405d34b7b6fa701e25d9fbdb56126cc9a8c3", "3d69d634f79dfcc717e18f73c886b854a157a3ef", "86cdc6ae46f53ac86b9e0ace2763c5fe15633055", "8cb3e0c4ad37dd7e0abd2eedd704d4d27edb0a17", "9b2553d375c27d3b5c5a91ea4f0fc0e083ca8d77", "322a7dad274f440a92548faa8f2b2be666b2d01f", "cee8ad964ff20dd5ff6c10c783ee271a7222987e", "77543f169cf1c9ef8707e54258c35568c7ad8250", "aa7e7637f3443a823ee799a560ab84103b0e9a7f", "eebe66c4d1a41b3c7830846306044c8f3fe0d350", "e8af37ac6e0a5b7f04b6824bb1f74e4f363b99b5", "060797f33c242b568189be251f9735afdc4c9f22", "741e2682b45a3dccab341cf272312a3c75c4b49a", "0b90cd2e8abd6b23e7f8133f02e3e6d121cf4903", "6f640d448f00321b9b3bddb3a787cacd2f45cd1a", "06a2a3c6d44ab5572df55ce34d9b1216bc685385", "b288a369c6f05443cb794048065b7a86139733d3", "07b358a22cbfba084189d287ba1ba50055c3cd09", "1cd9dba357e05c9be0407dc5d477fd528cfeb79b", "7363cc7e0c5b43ec12ba47bca587a325f719398a", "4c4454aa7a2a244c678f507a982fe8827ba419bb", "18d19cf4d09ac340428d091b24af561a3d5de3ea", "3bf1a5164e4bf751f0101e177074d2cf2fd54c95", "83ef7de2669bb2827208fd3a64ac910e276fbdb4", "267595dd40cd109c93e67874a1cf49ce79871f3a", "5ef2be1aadd2f666756b2ab66bc05d146ba0681b", "f4f0eeb4321eacc723e750ad27bf4a9401f1bde0", "d7173d9dc87234211050f2d2c38ddc78306ac1ef", "33e7bc26047de3c1b607f04a644c2c03920201fd", "c7756864268459069a59c2276cf482377d5f997a", "f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb", "3a2d3514b5cdccdb4c13aadb3929f3a78c03f020", "5f0dffd4f36394c92b26a1ee7b185ea4b3be58fd", "c95cd791ad0cb0a08cb39e987f725eabe3a08648", "c9e4e1bb544a892fe07c99cc9a999f0762237cc3", "03c6a002268c066fd6947452533e6b316f8576a6", "11f73583ba373487967225ae4797d723ff367c1c", "0c1531a2fa4d6a270b9a09cde86bb0669f5975ff", "8a7882f765822ecc1f72610277037228c24e7bf7", "d951ff5f378b2a5f878423029123ad6b3491b444", "483351de2bdf58e21bf8a68a5d75e79a025956d6", "2690264001ccd4b682b7b4c0334c80af6f5e9c9c", "948853c269cf97251ba5082db0481ce6f96cf886", "b56e4f61bfd6da098941d2aee8a3ab1221ce834a", "eb65354fe51a177b2366f8d10b8140912e883d62", "3ad2b6c283b1c4687c4f782efb64a209d3cf4cfe", "17bc977c47562210d54966ce412804b237b1d763", "47f8ba44fde1f8a3a621b20cabb7e84515fb8313", "551fedfeaf55e3f7a7cf19d2b21f1a56f8cbe9f6", "fcd9df8238605f70a54492fb0c6bdc9f29afda98", "a49b661e42aea6f205e543a80106fc9c6ff0f9d4", "c867caf3f29abb2f3fd5c4c7e98e5f551a70be25", "79443a311d75fc0187314d21f8b065b33e5b41cd", "455943924a98593655ae7197ee3835b9f6a3b778", "23231becd8ca7bd3f1f10660e1709554a21c64bf", "05a2547d976420f7d1de19907e16280d15199008", "3303f6694fa1c48afbd6e104b72e98b7f52b1651", "7b35e6b9bb6575eddd5d4598481007c154f2bf9a", "0beaf17d42b1171dd245131825d2de67000f45ac", "c08b098c1c2b44bb1080f50cf605f451972dc52c", "20e903faf8e2e656a89d983541b15f2e0d614eeb", "ff1a958cabb2aa10cc947a90960da4a971720db1", "42854a0175d866f190378a3034406e11cd160568", "4753a125469da7649e9f58fb0db781622dff41f8", "f439f9a0bd535eab00cbb93c1fa7083615a08d1a", "2f0c30d6970da9ee9cf957350d9fa1025a1becb4", "3ba5e820f160dfd02544120ab6c1678421fb2c3b", "d014011b24c62d5b689c782c09b89c52970f46e7", "2b79da19774861621b6a9d0c769f95d33e5b6eb6", "5e525d319af3739ccb205a890d0eb8bbed811d20", "f174b24860b4cacbe047d3a5650cf8866d2244d9", "fe2f404a7345ca414b07cb1301656ce18e629207", "74ce7e5e677a4925489897665c152a352c49d0a2", "0d5fa5be4bfe085de8f88dbee1c3b2a6e5ab9ee2", "031716b430e4256c09d5b3559ca9f0be51cb30b6", "37bb9b45c6385789b819573b3716fe56a9e627db", "682f735ef796370f510218eb7afb4d2a36cd1256", "e2658c545d0b8033ea1d7a775a4ae18f56b3bcc7", "00732bed67ca05a601afe8376b5121545d5c7450", "66c792b7e9946f8cb92fac185267d03371437451", "64b06918add69292c088455b62c4b0f06c727b1b", "3910b1cc849f999dc8a2c02a0313be32dd5d2b43", "079e20d0d870a5bade46cc9b4338a3d637399654", "95593fb20df8ce1273cebe0690cf2cdab054b9b5", "75827a2021ac2ad2256144b2a2fe301948d39b51", "22ef6475b220356f8547e9980c437f55ac2ad45c", "47c0c7f1a27d467e00a6fa7ea2ca0af2e3328b9e", "95bc6f4ff5033a091b6ddc6a4290a58c7e6ddc66", "62b72fcf996f6351b67ae57653c5d0f3a03d3599", "d67277eb00d58d20eaa18c346761fe4eeaab9c49", "1b7b95ee13d91e9c768de6417a8919f2a3384599", "649d0aa1be51cc545de52fc584640501efdcf68b", "830b48f210f3905117b335e305166df4ec092b8b", "98a6f2145a358cb2e54eddc99dd29911764bce0e", "6f41e2ba877ec690bd1c9e5e8742c4088f95c346", "0c03bb741972c99b71d8d733b92e5fa9430cbede", "cb4418b5bddaaceb92caea9e72c8cc528ce4e3cc", "f65c03004e3b2ef4b4224396f7a31ee75a252d85", "6e396401b3950eccdaf8265aeae8a4f0da8965a0", "af3d8552d31843136acc8eae994842c0cd5262b5", "4d653b19ce1c7cba79fc2f11271fb90f7744c95c", "4189aa74550c1761dd5927442d0a98ff3d3d1134", "d8a489e5cd8a7ca5faf646533263b46ea462a105", "998f2cfb4a3bac6b38d8a4a96a3827e06a0eaadb", "a7a66d713776e78ae60617eee2715443a8565a23", "ea3b13e512c846e2bb29d99f5f97fcf8c7f52836", "09d08e543a9b2fc350cb37e47eb087935c12be16", "e10662a59b5f8e1f5684409023f11ca727647320", "5849635e61ed7d6358f65f5a228a5148e4fea3b8", "dd54255065cf93895661c40073cdd031af7dd7e8", "feb4bcd20de6ce4f9503ef01c87390e662538c15", "27bcdd21f1be3d0990f86a231d29d46a5537e5cd", "833c1c0180ca36ea07ecfe44caf2b739c94f511e", "d1503151b39038a87acbd9ecce073ddc211a597d", "78c4061ac15acfcbd932a159e9c00116bed7f362", "5e3c8cd50301a13ad53a3fc9e3567ede63a76215", "a070eaf54e5f1f0980a3820477fe97fb8b1d80c7", "92d1e292c00cb307fd5ad074b5c172aabf052ae2", "1f8f0abfe4689aa93f2f6cc7ec4fd4c6adc2c2d6", "7fd97bc23c85213b8b2e4d28264f04ce6dc84e74", "30f113d985d876a3974838b2ead49a069b474e57", "2869d03482eca973a0d2640545e657428d05185f", "f3dab33e5f00e80ed4ce97d3443e96eb0ee96301", "48cfb97dbbc324d9f98effa5a7e07665f62080c3", "d809c0ab068861c139a544e5d8eeaa73cc8a3f6b", "77b77d9f42b51c481d7de37fa2faf7baad6c7fa7", "9c6ff9a0977284ce08ebccc96b400620be3ba486", "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "243778aefb3c23d6774309c70217cb83f7204915", "951092e30c5188e6dc925264f580316639eba699", "3ee096aff93ab9a2374cdde06973db1996331d86", "da1049ae56eaca2e7d65946cf87b1e504d9fcb70", "5ff64afd70434b12e043ff39a91271eab6391124", "1d5fe82303712a70c1d231ead2ee03f042d8ad70", "4ee9efbeb26f684557fd8d39afc8e90e9958a495", "33d682c52eb24875c556ec007bc38068d3e682c0", "8529c0b98ab4f6eb21715a54395420988dd69633", "3f60b1f800178841f4e0ecb79b64fe60b48ed03b", "7d52c9da079a4929faa0b39d8acb92240eb3a1f4", "0cbefba0f41982bdff091d0e5f0d5ef93185a55c", "8dc10cb0c8f6e449c22bb11399aa886d850fc701", "7e1bb3a908f6bcd3ba09b2d48f559536e3034d88", "6dd3a95bd46e3ab9c3f649a2034bf5ddba19c710", "85feb069aa605caf378d030754c478478729c0a2", "9a23a0402ae68cc6ea2fe0092b6ec2d40f667adb", "f375bc91a5f7b1f2d36e41841ccc22f202be2dcf", "67598e0b447294ad7414b8c73819c7ff395eb63e", "c72e13581cc69ab9cf59fb3d41015a67de68306e", "8670fea0d92c6a0e767d089083a39d5896db8534", "f43327075c17e71ee713ad727aa473230a432a90", "adc2a323af5f8be790b7fe5ded8b5b276f0a1b31", "2b3fe9a0356eaf50f1340dda3f3d14f6904905ec", "53819049f41998a5a1587dfccccc2db8612b45af", "484c4eec34e985d8ca0c20bf83efc56881180709", "ecb08081539711766acec0d252da13be716ecae3", "a62cbd84251d325ea9e91642a9b37f3026cd3e20", "cb985b696085fdfdc664c74114b841d58382397c", "43694e7d5861a8bc8aa5884dba3efe2d387511c6", "174cd8e98f17b3f5bda1c8e16cb39e3dec800f74", "a3fdba7975494c34552b33cf839f21d62734e6f0", "c7391b43bd0216daf697fb77906b76c71f5c50e2", "ede3af38e30ca332af0c1ce3bd5144070f7fb7f3", "53cf087dbcbe0c4b145297fb0a32732ab2b18b66", "8bd59b6111c21ca9f133b2ac9f0a8b102e344076", "ac392dba43796a25c2eee5f08671537634a77029", "494e736c05ddf500830e9c51b5fb42be9b9bff1a", "21b58c8aba44c173493e418a797a1f36c6dae8a9", "bfebba8356c5d20dc6a9b2f72ff66adaf63321b7", "1e1dc91c2ac3ad0ae44941e711aed193231c3335", "6faab65a009b36ee3f79d3e4afdf3cc84d57cd67", "5b79ae0d1fd60d61d1b7e37ffe499f50088554c0", "6b9f23d75f7f85af831e15769a33b8f8d90367d0", "d40bd8d44fe78952769a9bb04fe74ce38ef07534", "8ec6a93973daffd3ab8ac70bdb902b3136bc8e87", "144d19b3f820c96b7816842356dadebf16678a8e", "e1140b86c64549cbcd138f868c82ee8aad77d103", "93b623ffb25fc32898f3c876c9aba0f5ec22d3ac", "8d879f4aa3284aca8d671d8360c6b6f2f0f07a23", "d0096742f59b9361eb0454a69c9afb0ad6574d96", "1b74479f6e597a33703a63161527d55cc5d3096f", "920ac5a925193d82a9aad4d976de295b75d2df23", "000f90380d768a85e2316225854fc377c079b5c4", "63fd747875052931aed46a37c6da7d7ebb7768ec", "d5579b2708a1c713e1b2feb8646533ce26085a3a", "c7752341b28a0ff96e8b63986afc669fada6cd50", "abb7c66487009ea20967b9c6708f660fd4197bbb", "0c493914e4a961c859b0a4435cadde02cfd56fef", "6d3c8c5869b512090b1283fba28f01c2748b0ebc", "ccb27d726c0b799e800a63eac18a33bf262852aa", "4f19d33e808a6675f11fb624499d303368deafa1", "5bf9493564d1ed173aee4dc701d4e62d5f926fe3", "9594cc518db7890c3f20073525e9a335b2049e02", "28f53ec7732299fa946ed3fc27bf691a6ab5c60c", "040eb316cec08b36ae0b57fede86043ee0526686", "2aa362740ac9a2b304a74122da820e3829689842", "acfb90f474209f56455c4d1ae60d524d8c4c9df8", "12feba45b219f129b5f12c16b5ffb5c1687b66e0", "5da9a5367bd70c004ad9b7e8cee95059490e33fc", "a33f155fa0e886eb4746fbe6aa8ad8f334929648", "2f21c68ff9fbd82a3241f79f985ec7e1dcdac41a", "de99971e61613f174c9e5aa41a2c600399f59953", "da1e0b9e445493d3e6dc0e3c23be194228c5d796", "3a888bf996bcac3feb7e130543df9ec8287db515", "b9e6f9e22134d4b5ac66fbf2ec7b7b702c6f4eb7", "987c9a137d638f3d561c52b6dd0f987734ad5460", "6a7462ac7e82dae50251ff97ffea3777f2ea81d8", "5f94e354faeba1d330088b926d1f7886067bc93f", "dc093a8975f97c5c1f18550cf7298982b0c5cdfd", "3ab5d67310aa3592b68e9ef55df4603507d0d486", "b81a5b676e5e8eee7dc99d5319ecb963f22d05c5", "b701f11ecf5d465c7d5c427914db2ad8c97bb8a9", "a6161e53d77d7cbd6e69d1b84e6d03d7041cb93e", "e8b616e244c6f51d925751a6fe2f11e488f986b7", "f4331705d8e7180455fb865436bfb34c08ed6d50", "965f7202890cc64594ebeaaeb7dcd5420709c55f", "c02dbf756b9e9e2bed37cb7d295529397cad616a", "fe01e1099dc2ce02158de607be993f9fc8aade57", "027beed800f7d5e20194caf6d689345045e8d0d4", "cb422f464e849272d92b8f2fc3c5605a71c98e54", "874082164d9ab9fced08b9890c009b91a2e846f1", "e45bcda905b897513f4cff9e5c0a5bf475674a02", "6d500b0c342c1cf23efff049ef121bcf5e606ea1", "7b79a754a8583f887857c539895a9dda6331ca2e", "56cf859363f1b5231418b40b957a9132a78ea546", "2504b7bddd1892bc905fc5df6b5afc0b109ef40e", "28446fa9d9ac0468cc715594a6dcc0ac5d9288a5", "239d2cc391e51bd6c65944bb3f3b48f1f3681877", "da013b84a93cc89d78f2d9a346fc275e3c159565", "06d4f3b135ffb69c2e3ba10544ed1e7d684761bb", "8a1294d2093b7f339e3d33da46e008aca3528893", "d979dbc55f73304a5d839079c070062e0b3ddbc5", "fb6bcf5763fe7ec7366f5991400090fa503613a7", "30caeca74168cd841759cef951c947f44ef0f547", "0baed6e8b8d5456980f2c9f64b6f566872c778be", "1b7a0fffb5ee96adece2f6079f5e9ab79c3bc50e", "d80a794320836120bab46b467118c65fd6693f57", "0f12c93d685ec82d23f2c43d555e7687f80e5b7c", "3ef85a078a688615c61f04d8605ae27e17f554dd", "a5006c29b0609296b5c1368ff1113eeb12b119ad", "7b45aa509184b05064eafb362f80ba5778566a4e", "7ff83f10e49e81ce6f66270e8f3f42dd2c6eb3ed", "d444e010049944c1b3438c9a25ae09b292b17371", "56b9c6efe0322f0087d2f82b52129cc6b41ab356", "7a39a3ca168dfebb2e2d55b3fca0f750b32896da", "3aee6a6285869e6db48ad269eb110b542ad23c93", "0b5e4ac8a04c0ffd0f9045901525201db03c789d", "ce13682b1771c221f0e0ed36da1cc3aaddc52188", "0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7", "e60a7fc13b41c76f45107e03ceb850e413c7b4b0", "531b211d4cbe766e0b86c4bb6f24e924494360c5", "b05faf0ae510cbd7510a6242aafdda7de3088282", "1574abc94d22b03f8c9630f0eb7ad1f8ed67880e", "97104def2b92b430c02f595d7802f9ba23b74cc7", "dc3d7128e15ed8d97f9b29021216fc1d4053fbaa", "c348118690d2e6544ec1e68f904dbf9e5b6397bd", "6957baa0db5576997aef9de43b93fe8fd4d07632", "1ec59aece51a698bce34f393cf6474b926fd89ad", "bed8a74e75ed96868ce81ed1080433ef5be66a52", "a3ed080262f130051d2a02e846f5d227a440b294", "e2b615e3b78aa18c293e7f03eb96591ccb721b55", "b55853483873d3947e8c962f1152128059369d93", "28eceb438da0b841bbd3d02684dbfa263838ed60", "f7580def2dd84a6a083188aadd9c66c99925860b", "4b3f47e3b8f62b8b5460c85c623e1d7e0b189706", "f6ff469fc4b3043530f64e8642ed822d119b42c9", "d6d7a248b1f59981277121b9c0626ee8d5495757", "295d978cf47c873936ad774169cac651ea5f3c96", "2a86bc520586f611771c2052b50ac52239414dd2", "a36f8947c7e33f73157d3ffb0660776403fc197c", "72e8010136460340683a52c2aee4edaee0b48559", "b72c72e2c3d140c3064eae3aff17e0c0c177c963", "1172ce24f6e9242b9c26c84c6aa89a72ed8203d0", "6e647a430d603f4d82e44b4a87de580a0fcaec88", "13631379de6487fd0571e5919f4efb65d16c1633", "84968d6488e87c99b8560ab33110a5bf85aa5761", "e669c2fe2051648aeafa806bc10b380d5b99dbe3", "8ab450081c04e5587002e9c965d144958cd404be", "2a06341b40b3fd27483b2a8d8cbf86fddf45e423", "7c38572093b0d0ef72d828f59f95b3a6a067fe27", "79ef25ed4863311000975b955651c0515fe38f45", "8c04688425fa3e03c24d08b09faad49e33f2cc30", "a1653e88be986aee2f37792c3fb05f0ee7fbef94", "d4ea53af07a40dbb624ceabfb35de30638e3ac13", "e939fb6b762de242b22e295940e0d9d7d259e442", "1d455f918062f66e86ed53cf258284abd6abd8fc", "1d21ec277d2a72e506a9665f19ec5478dbedc20f", "c4d4498189f147ea1559b5cf097fdbccebc4dceb", "4cfdd0c8313ac4f92845dcd658115beb115b97ce", "72ef0ac03d3043bf664ca7c21abafc4191b24557", "638afad8ab360d3afdfeec4acad02b4406714e38", "fe6409e8e09d47758d4e71981ad951423bdce212", "ad7a7f70e460d4067d7170bcc0f1ea62eedd7234", "39675124e4fe1be08f42bdd2e1e237e5a87839ba", "46149723fef89d3b04019b4f62e4c0ceff7c76a0", "a3bf7248e38ed6f9456f0f309b36470c5c0dabd0", "0949548b95e225dcb0ab88ba21f385ac6b5d81ae", "44ae568a8cafbd4f4d495bf612bd6bb5c5116425", "0de0c329e07ffb91d100424259a4a18973d731a9", "548bc4203770450c21133bfb72c58f5fae0fbdf2", "f91e069b2e67801f54ec05a1265fc707a65feb37", "2cf6d4a3481b7ec40b704472017493ec17565e6f", "af8181d0394118638c1e140051d9c590617b7724", "7caca02d3c61271d22c43580677acb6d52b23503", "d6a4a34829b3b55497210ddbe88ad63ff801faae", "5f642f76d3503547d517790fdb5ef8d34f0e23ac", "be993d793e393127e3fb34d27fda255894edaedc", "cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe", "5d0e11844f1a210f16025e990de938f6732672ab", "d7c659ce0442bf1047e7d2e942837b18105f6f47", "368132f8dfcbd6e857dfc1b7dce2ab91bd9648ad", "9be696618cfcea90879747a8512f21b10cceac48", "0f9bd0d528603654de2687d3ae2472a522607ee3", "d8d13c540c326d45824073c32499590d7cfb291e", "d291befa3249b49d57e6bb5abc643ce6d728f7dd", "48c5eef4ef5ea4035bc0429e773c38ced7151157", "15623fe8875a36cac5283ff2f08cd50998599725", "ee82b4ecfc16070177fb78b8befc95121ff35419", "c20148703a706d5883d323c3386978714fe1508d", "9d9166e1d9e80bbe772423384af53a3d5da898ae", "b242124e3bf1ebfc57b5279d4d75ade924a5d1e3", "fb2379346def4846ac24bc41349e7cac7c1e7243", "e01058388d139e027482a7d89a2997606f7ef4fd", "18a4399b8afb460cbd4de2225f39ed23a95336d6", "7158179c1cc56edb32a2da3a139a168592bbd260", "32c801cb7fbeb742edfd94cccfca4934baec71da", "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "4b399e0d8153e842739e8b7401353209ce02b79f", "427d6d9bc05b07c85fc6b2e52f12132f79a28f6c", "ee89b903af1d8f26a8894a3773915c74f038883e", "681a1b6c72af33e91e6b7f82994482b2076c6d59", "aa892a303aac532ccec34ba0e741092df97fdb9b", "9185db7ba8375311879d506562a7c8e89f34ff82", "7174e77f8e26aef3105996512b787b336320d46f", "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "2ab8a7654f943c9d19e02eee0b2ce3b12d6bc3c1", "90aa891d181d918aafdf1a29d8620bc7859294b5", "663981cfc5fc843ec2682b77ae427ac351bc2180", "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "18ddef5e311b62adf5d037a240324f569bbfd248", "49a690f5dacf8b6cae7f2a1c4ef2052042d6c729", "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "d2df6e68a686ecc95a1e44505379db005f83ab18", "8c4be5f5ff36bb326ae4325d2ed79a18a0296107", "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "e27680dea38b7a0272042a82577eb58eb552785c", "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "fb6745ecbe69aac73ff6353dbf781c588c55a7ff", "fd645edffb18e76d89b9efe02bc0b76163de2261", "2060d46b178719080d51bccb150a3f8f227807ce", "5882e62866fe1fcf7f8458e0bd0bcb39057afce3", "21c0bb96f989d2e5a61b48f1b88627763647b79d", "a507ee57e0e2e2834bab1ff7d218d3afb3634f2a", "d57279d90f7f5278ac56974485810865cdb1446d", "46f5bb35ea99c62320199b1f0924a4e7c0b001d3", "a65b93c01518755291e19a0545c1a3d20e401c0a", "c298134646049f72b1a8732ec6594a34f6311660", "d656078f3ce43ec5ec645ccfbd0af483c9669b10", "834e738ade61dbf19bf8a7059921da345e9d5529", "9c889616034adce2af05d74eac44cf43a8106468", "1e99c95ea015a0639448fdf60f9694fed5464500", "6ede463b08327c61eab9c1a2bb73204e188e850a", "5ece646d13786df1d84ff8eb2bfbc736dd337378", "6c182ec9bd85cf61b01c90955c81d71926b0198a", "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "3bf66814817f582510e0f0a717112b78aca075a0", "5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985", "1810a716546622d138f3715bd4d3a425ea58c8b7", "504a4056692eba25e732717a3181ff73a5c7ec45", "fa634d2194974f52bff30e2ffab81c3f97c49b57", "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "2e6c3557cb90f472e6798fcaa8ecc9dff3557f11", "4c02d6874a761182f3776a5a04142e713cd939fa", "b9305c065b3c95fd0844d16a09fb9cc7c321cf58", "99783c792947f17e41c94ddaac31766277809049", "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "139f8dea90ed4b535aea4ae03211ca948fe34acd", "8861eb32367e6b227fafc21cee87f70189348c26", "aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b", "9fa796a11bbcc50fd20796701a123177cbd59ca5", "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "71b6057016b7da02e454fcc42f270ec040b488cd", "c936b9a958a67cdd5665b923569d9d786c934029", "ae47e73c25755427c9f5904425a35d7db737829b", "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "806d7b97c3535a3c62ce243fe7008149062d14c1", "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "09c9a70a95d1e663e9f718c095f0ef59a877c152", "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "a3dab83995f27ec8d09cbc06fe815ade88232d10", "33d076ad8ecba15c61d5ee8c3e2623d23f73d396", "1e0fc2e5537db53080ec9a875df614dd8018c873", "ba1072f692840c6e3c6c506f164b741c22a27a68", "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "c05f9e4979cb33090db984226ff3cff6e2dc1950", "9713e87734046cb7a2d040d71fa35cf93472ea80", "03799d5eb1de8141db27856758a2f72436fcc926", "2faccc93b7bf66ec8764ed3293849bed1bdbf115", "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "2bf53442826052dcf1f3e8f2b231eaf164ddfe3c", "e9bfde4d9898a886c340e5ce4337c2969207990e", "6965de4410921cff014a48b071f2c4c52c1da0fd", "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "5101de7052206087dc256660d72cb05d0553b24c", "216bf8374a6fd745e623750583bb2ffbae6e7edd", "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "0012d023347d01b791e7753f4f58567a5d480f7f", "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "4543845adcb6135f263cbf6c2813d10464199d52", "133d9795a89a681c9f6db6a0244e8975992d968a", "9c101af0cbee452a8f85ff89be0d4525daf3736b", "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "f9e21549678feea9129112feba7ab5b702abbded", "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "f8e55d0bb896d93385b590c13c5702b63b41d489", "1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9", "4bfaf3d14625cf020e65fbbc5be262b83342facc", "47580b23dac6ebace27f4503ceb6200fee45056d", "5128f77564f70d861debf2941df54fc575283698", "888bb55811a77011a1f922044ee5709f25cb5b36", "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "8ff7567197aa9cf146e023326802b2e097121acb", "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "0c3d1f306fed393b92fe62f03496c0405ed1ab4d", "95a287356caad3910df98d52a3723e1f98e491f8", "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "ec24412cdad5a912f1174ca9775442b5036e2298", "11a47a91471f40af5cf00449954474fd6e9f7694", "d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3", "cbbd13c29d042743f0139f1e044b6bca731886d0", "2c75658b080a9baaac20db39af86016ffa36f6f0", "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "0334a8862634988cc684dacd4279c5c0d03704da", "380d5138cadccc9b5b91c707ba0a9220b0f39271", "6d07e176c754ac42773690d4b4919a39df85d7ec", "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "5e24dcafd1219cd77717e625895bf4abc4af7c09", "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "9fc17fa5708584fa848164461f82a69e97f6ed69", "c98983592777952d1751103b4d397d3ace00852d", "2359c3f763e96e0ee62b1119c897a32ce9715a77", "934f69d038721540c96093cae634573b89d7d714", "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "a52a69bf304d49fba6eac6a73c5169834c77042d", "ca5e9973a4494c608548f639eb9a391f6235d4f0", "93af36da08bf99e68c9b0d36e141ed8154455ac2", "d2eb1079552fb736e3ba5e494543e67620832c52", "91e17338a12b5e570907e816bff296b13177971e", "dde5125baefa1141f1ed50479a3fd67c528a965f", "09997e8f71dafb78680b8c5002e80f7f1d71b896", "3c300649fd125ebd56e489086aabba7ac9f100f0", "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "2a09be75ebe85f64a198d20766872c66cb2f00d6", "228ea13041910c41b50d0052bdce924037c3bc6a", "2b2896f41480399e7182acfa9466a3f915885387", "58d0c140597aa658345230615fb34e2c750d164c", "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "fb82681ac5d3487bd8e52dbb3d1fa220eeac855e", "097f1f58f1cb8dc9e0622e001d7f6cbb624d542c", "abddbb57258d85b1f3d9789128fd284d30a91e23", "8b879863237d315997857a5585afb2bbbf78c622", "4b57456642e1d21f2bda05aea586b7f419d309ce", "a6151d07560267818389909c9f1dd268a87f42ca", "0d8e7cda7d8a2ff737c0ad72f31dfd4d80d3a09a", "550c369cc3080c03b89d738d82f1ed50145c5aa7", "dca246cd06666a331b0203cb09a6ef51727bfdcc", "4d6e7d73f5226142ffc42b4e8380882d5071e187", "9b9b6d34deebb534de66017381be7578e13b761d", "9c341221e19fac7a5e38b9fe5c62361f780a7f08", "98bb029afe2a1239c3fdab517323066f0957b81b", "f49734bc34cb7cc50938a18e72d5fe338fa8a8fd", "c4c66578a8ec100861bee5a16b1c9c7d28be95e6", "830fb48d04609bef50ae7f8f3513ce1b160894c9", "745d289e559dcbbfb938790735aa221fbb585a05", "a6f477f3c1cb2ab230fe8d89c31ae6af0b9c2346", "c25a71d01255b96c08dc36e79dc7200347574a04", "2868622003cbfd5cfc817cb57896298c0858b166", "1cbad37f54bb3d55c621c31e741472e15f832809", "54f8a2cc202a65ede4da8593c9dd218eed0b0109", "64f6f1cd23bbac1983ad4115475e4ef26ab86ba4", "a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0", "ffe3d6fcfee0378e7afa0eb334a454144b5bd272", "15180235b45506f87057f53d688729fbd9f2e291", "0b0c4641ed1b6d18a1f0789485484d97c1c8cccd", "73a1c6815c0ef4d62cbdb7a73e84d7dcd370b50b", "53881bb35cb98c788f75fbc8c76198ccbc50edbf", "34d784636e2a8078a6c517f6a9b132b31c2ab3d2", "e3471f481c6b61489d8d48eb4668286f7db890da", "75150b16cee83641f01074568fe4b2d2eb3d0a31", "e56f2c9c0a2cf1db7ec49527cb70b345ec71cfbd", "52118fbfbb0ad29e8eefee27438fdfc51b350c8f", "c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4", "2a8c909e41f2653cc6f24449af97ea599a6f545e", "0318c74b1cdec63de4c9577e9e600a48241adfc2", "033f0a769c60ea47928a805ea0b000278748c271", "1eab461a69ea758bf433342a35c6035876d45f3a", "bfec95482dc40936cbb33d386890aad48483adc4", "f5d9da15409bbed02a640c4e716a456b659c8346", "7346838bcd4c372fe79cb85ac519e0b4f06fd7b5", "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "c458db5d616058fbd9de19acc6c82827396cf195", "314142838289cac416098cbc2bbe796dcbd2357b", "e3e44385a71a52fd483c58eb3cdf8d03960c0b70", "097d3892f5f2ba7be43a81908279f42a618839ec", "4bce0b90c3c7c1f4b5118b6432841cc5d99c2c72", "7fa5cecfe1c26cf5a8849cf84339cc4b827e6ca5", "69522bd70f1c64e9073753ccf335382be5aa1cd9", "6aaf91619dc41d1e442c5439fbf006965758b915", "500fbe18afd44312738cab91b4689c12b4e0eeee", "83ba6317d13482593264a4738dd9da6283d11832", "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "988d5ad8d114f5f21a73b2ae464dca4277f5725f", "59319c128c8ac3c88b4ab81088efe8ae9c458e07", "d520d335fd89605ee2da63998642acac4ab75a50", "8886b21f97c114a23b24dc7025bbf42885adc3a7", "6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19", "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "5741454948c92d9d7a59f57772589681cde21943", "808b685d09912cbef4a009e74e10476304b4cccf", "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "3c57e28a4eb463d532ea2b0b1ba4b426ead8d9a0", "0da75b0d341c8f945fae1da6c77b6ec345f47f2a", "ff1f45bdad41d8b35435098041e009627e60d208", "269248eb8a44da5248cef840f7079b1294dbf237", "c8b9217ee36aebb9735e525b718490dc27c8c1cb", "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "503906ca940fa3b01e39d05879c9b6a36524aaf5", "1451e7b11e66c86104f9391b80d9fb422fb11c01", "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "b64cfb39840969b1c769e336a05a30e7f9efcd61", "0ee46649d629f67768761a915791e1759c15415a", "82f5c150a882533c51ea221b642b0df9d10757c8", "a13f52f596deb76aa67525f76dad8f23aa84e7c3", "76c1a3506ff752347e69582fe300489a66cc94c0", "2ffc045f48f25bfcf9fe6dbbc86d3f60ff7b112d", "3a64b39cbd4d0cc2dc97a75d10ca19f1f325f3f5", "4b2ce7064eeb014a480255c29bf147a441b3fa3f", "ce0cc5f078c5224b9599caf518d74ae3023be0a6", "61c256071d3344cce6602afcf4f6c27593a2d93e", "e5639d673d5ad4640d0c92cdd32753cd6b8dbd13", "b7bc85b4f6a186e01365dd42993029ea06909c8f", "0c95ff762bdf6a20609f49f1eb5248de3f748866", "99e04d3633881e668475589917f3dc864b0024e1", "d8586c794456f88400231db046b0d33be7781185", "97e6633c9865dba296a36a5e80e3d66109b43b0c", "beff22ec87148ce4eac32fde45ceb5368c735381", "f621f4cdb4158f72f12fdd55564bcdce322dce7c", "2a65c3a5d19cd40c763daad7ec1d6842292f8379", "d47a2c0828bcfa4ebe0b7831f0b389ea385a8ce9", "62d5da64f52b56f79a9ed6952af51508cd13bea2", "91254b9dd1b7ab852bf6a6c346469cdf04cb0045", "5d0d9729abada2cfd6d09b9c3d654f796f013ab1", "e52b0059addd08b6aeead3b4ebdb46594e44bd79", "d9a4bcac04a4c0785adaae9803f53e9bd1f4ee72", "001719ac5585722d14bf4f2d807383a368504a4a", "1868aeb7f13e64ebc78869b371ef321572d6167f", "78e7e122773204b7cf3c321b01cdd3081e63af0c", "b288353fcd8da86e9c55f9f82768492b2de25596", "f1ecb4a14f1f30012ec8b70ec39882888f29b07e", "a8a096f38c7f59a5a310a94cfce2da00acd622b2", "de23c56e5624404628e0d6aa7b1fcbf7f56c6b28", "bfabdebd2185365e7b51f21138bb4e4b0d957a97", "15cb6e29d47189dfe8277d1b67908e5e47ceade3", "1559eaca4ee5c4f1a7816992975e0249f79c32d2", "eb902c51df0aa2140ca5196f6f7e847fbe5562c1", "f225f7034d89cc34c58cb7f6daf00c97c3194556", "6c45759b0a1745870dd567dcad212faa393c767c", "a278841f24de0bc6d6f30237a5cd8511094cc8e1", "44984f97c8c5ff0a734dc4496116df195789beba", "279f3e45d72000767f2b05378ef617d707a58321", "e8f6838a552919eee7b61be745888f2d4c480e22", "8e37696a0163e081ea75fba4623a4fc53fce49f6", "645f06028ef15c6ba8005d3508805bd2d61f25bb", "1438f91b97e5980a641f0ed40f1b34b2e9ffb786", "e4d33362b4f99ab77fd6ceaafa183c087c79faea", "6b2a10bd60790f2e88be820f93d58a1b3b04c743", "04209fe08b6d4cb591effc5a18f4af4c9663a910", "8988384f492b1b277be41a894a2c911ed884e095", "d8cacaa244667fa4a57e9c55fc1cc4fa2d19a92e", "35794480e556b946c82d498ce868fa62235befa7", "0393723dff4c00262c1daf34c26d27fa6fc52ab6", "f0864a4e2f7dc4b3bacc36a0617a1860bcb6aba1", "0fa28b3dfb841cf542edf8d9d5933c7205a88d41", "a9e438c1e66917379509165fc40f335514870b56", "63bdd4d64cc55449d0277b9ec4b2f20bc1813696", "c11ea13d46b93bc895f316ccb0c3cd7203ccbb63", "c5543534fa4596d98e564ab9f792e8d97bfedb7a", "b4a5136a5080f62a4123b6218e7a3570da6d5d3b", "c12f42280c431c959fbc9ee5928d38289f334665", "557a8feea36019a6ad1e6943c83508170f4b4fec", "322ff387087134ac776a4270cd55e7f3334edeb2", "d4bcf90262fe685f147b951a8609a6ef32ffe3f3", "a7aa69b348701f8efb7bc04f36e93ef85ec8a017", "453f9c46cbc0e769b6cee60d65a99b23631f0ba9", "f5748711db00d82469ff60e05f62319f1eac90c5", "2c515b83d6c3cb8a097b8f19dafd9317bd147ebb", "7edd4a32059476ded7493e6438fffb26ab298121", "4119a7bf09a59e4e8a409c74a8fa338336f5ca52", "139683a2924f539d736aab3a57902ae7f95eb83c", "89ef75b43bc329f21fd3e81d36235d4824478831", "b8da30e8f6149baf1201e98b2ecbe847cf49a872", "041d854a835815e5be740332c047576804bd166d", "58563acb6ed1091ee1d0fd8fe77649ccfbda9e66", "ec7d18b054380f9254691b1a80e5040d4af88ea5", "c5af99522e324b72c8a563a5d6b7c9a0101efb65", "0c2309b357cbc5be6c5e5066b053b96e846ade37", "af3de028f6f2369a6a7bd42147d99dd683c8bfa0", "b8a670eb52db712d04ae00606a025edf63dc8a79", "d5d6878f8c82727c3e145ed596a29023f7f14eeb", "5a3523db70e5a0a24b1a38ea8bd55a25c63972d8", "673e1ed100fd6dfc37225ed5f6cf39c02f9e5193", "560e4ddbdab54665e652e6fbbee7ce7738d28673", "e4253d4f6e5bbcfac7176f39eacaecf63949db6e", "50bf792c721293222248f906e95726ac2ac2fe9e", "76692146f3cb481925aebf2053300efb70e4536b", "4f77672c57a4fe2d925aea61cc54ba48220816a6", "2b537d826718b7578ea7c5d0164873d376824e6d", "6da7f9d647b59fbf8d6a389caab26c5331e2cd93", "8061564db4c15aed794f9e9c4f624757101cdd56", "94f9e361fe06c567a29ccce81273bb85d66e342e", "0fafbeedc41f5e31f81c91f56eca448cc29e1701", "06150e6e69a379c27e1d0100fcd7660f073cbacf", "5df93d7da8ab46f1d0e9deadd4e5e5568acd7651", "52cc64fe1e3c93311ede4bfddb71b99fd2eb5c37", "4421790b8f6b7d44915e030dfec6ececc0f03c2e", "a20f57f0012194f5de142715320bddff4ded3d22", "4a4d66b26c908e0264fbef706d1708030a8c5216", "99302fc2bc72ff166fe41e1614df606120b2f1b7", "ab0dd486ff270c3a5ec877aecad7f20b2ce3f670", "a2f2996145d3d670608af1cbbda59c1ac28d4f7c", "847a1fc7c29ca91282a676fc6381056b8dec65a6", "0bdfc21178347ed4f137d4c7d0ba14c996c66b6e", "917411f5a2c799cf16f03114147cc726fee950dd", "8df1766638f4d57935de811a137cbfec3d48cb59", "1bbd83aeccae06f7d1b048f12566943ac824a490", "adaf2f6e627870eec71ee416db1a37c023937231", "2cbfb137e12a68c2fd8ed5184d46e2913101090b", "6ddcc4ce66f301954132c13e629899a27f729112", "b9bdf31f8ee1bdc37e2a11333461ab52676e12f8", "c95e6cf689809cd6a7c9aea99a083fbe2af01457", "b90efd4e0a2267b1c47d31ead3c860acb4364cee", "d928ba68e20b22a327ab093537ec3e03bbac3b63", "97ca91a896c1b9171ad2aafd455540fc65eb92a0", "4cbb4801667e2bee41e849b7d226cfcd1c501139", "fbc93b13b8a6a5e4ed11310ce4da3be0b7541da8", "d680cfe583fe61e49656cc7b9dbd480c6159cf0b", "43d4927f5113c5e376ab05d41e33063a6d06d727", "d4207e8fdb053e81f4570ca2da9f6e7b73656ccf", "2da845c75bf9ff02bd27b6e2ceb4732e89b05fad", "217de4cf88e116f505fdf802eba55572a5d7f227", "c56857cf866603e44ca7a10c122a79c10c5ad4cb", "9e965f37e6f59e210a3540a67d1ae8633a5f9b3e", "42a6ae6827f8cc92e15191e53605b0aa4f875fb9", "e2f4e66a14e74c6347c6d89423457ca337989599", "e76704e56ba5f485499ddfdfbed7088609e45766", "5851db1a7d67af0f6ac219b8fdbb9b1574c9a893", "ef6fb34ea2a5bc1366bffd0927fe4a11f9f5962a", "5085e49ff681a9d61cef81529c4cd7991ece9484", "bea2c35ef78eb40df52e27cf4098f28a79bcbad5", "1be4e4fd9cc7ba114456d9aab2935236f0e1a91d", "ad0fc3daea914e8025332a24c25dab37f6c55658", "0703843838b9cf1240a9459fe5e0fbe3580c63c2", "0bfb8b3cff951b4488589f3e53a801694e1e0fd2", "58841e322d54744dcfe624347d0fffc2925eb9d9", "269912f07c693453dbe5ae69175d06e841e2d9b5", "9ea8091ef0bf002263a3ba6f0962f3698e2a20c9", "0aaa66501298c3df27293eca7906e93d8013b729", "218d50faffca29a2e7bf53c2b9b52e60760e8072", "b64a94c42df080196acb74cd06847297e361ff62", "15811446dce3242813160e68cf79e30a8c03dcbe", "866aee7bc3ba13394a84ed36fb8f8ba543552d5e", "0eeafa603bce9587e7fca38cb51c1418401eb277", "4d0d5101bb563061e4155ddb7df943a629c49e4b", "a5c33de108cf7903a0f7d20daf22fb0794adba43", "bb0f179496d4863c8f6e6ea27dd826a2a40f55dc", "51ba9e2968b2c2ba4f94b4ea17aa9b9a4a8ecc16", "0b3437b872be122d35c52aabd077e45a5c4a1ffb", "01a078cd25b7ce1049efc07bd754980771150775", "d00e573a85f764c398ea35120ab2a0bf90fb09c0", "7dd0db26e4badfc606c56270738d42dd21406b96", "7a596f0c23f4368f6a3856df6cc652f1988c5d3f", "03be0b8baddbe72e813c8ca29819e2309d7cacb9", "75f5c0c387f2e697f320c5fbf02fa28c5a7c92fb", "cdd3b727a8c3129d265ddccd01112655e45c0f4c", "ccbc93aec53000a3ecbac8c8b1706ac37fa10e19", "6f613ae524066802efb1b46a8673e62f9fc63321", "0eb52f7685d5d4243e52fb72db55e9d813abd7cd", "54d7e756a8f14d01a557fe87f62cbf90e905b04a", "55956278efa78ccb59660a48c4ce9ad3e7d88e70", "5c4f8972ff0df23161cbdf1d70ea91f0e545d52d", "89ed007d1dc8cd26033e71dfad7698c835b7336f", "20aa23186f58cf83674a07b631e0618f68f2a6d8", "3762bde6d3f21e8abc549d70709984c36b6bf3b6", "73390af668a6c9662d15cdf84b2ddefaa3f7826f", "83e5d6b25f33bd06784b7aff437f39f45dbc7d87", "0c4d7768d84d53dcfd40f19083ad59e8ee64ef93", "981c2619adb110dec12165ac9dde93f2a9d4e389", "30a319d6e1472c81a1987133afb01f524df459dc", "4ce1946a28cf7c9cebf29210da326c336a0e92ca", "4a47b5e21676347f980efdc0f89f79ebd3a56c43", "6f5cc6efcb3f983cf8518525b941d807cafb59ae", "923afee9370f956e29b402fc228ded2850ea5df2", "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "d0765e76ea93e70ad6873560541531b5f572fb4f", "2866b2376254eeeccce5b796dca847437cd79f26", "b86d16c9df3791ed29ae8219ac419447fde82270", "359c9b9282424f198ef7b348a2fbab38c0c8f4fc", "c1d98fca75c63fd5975fc2fcd3fe07ac02de4a5b", "771431afa9b5c936dc970db8d02ae06f49d68638", "80bf17031c5774501ef03a75b329f6740b43c3fd", "97d1f7df45b74357942eb5c965dbb77210f783e4", "67190da5e5503ac2d9618b4f5fbe42701aee4ce3", "cb78d297b895fa8490265c2143a29562761fc239", "e5a20d65b6569f3ee7b592773632dc9fe6644e58", "64372501affd8571db20dc606b0146a76c266303", "ea76486bffc27d1300c8212ff625ee8f2c873014", "04d41406ed69542a3998b281f9d5064f0c691a9d", "2d5c7b3dc5ce81500238fb7d1c9b6e4a1b86283f", "34530c3a1df47c888506b836a061092df05972cc", "16cddd80945d3ac84e4200e272a4bbcbc6381896", "0ecca0d93554dea65002ba3ce5924f02a6e6a886", "a967f54369466ad66ff1179166eed16cda56c5c2", "1af68c5b5ff61d95de7c585275e119796eb81b1f", "9eaf349bb57cfc2acfc14d7531f801a603c17944", "e741bced5c1d6368530ce8cdfcdcaa0d9e07c31c", "47b6f8c7be3d3a6786e0fe10c4fdbc64f89ad77e", "147fb09a6fd61058f275b7daf8e095690174bd27", "b0751b7361e691b0df7dc70f6c39d41d6cfc04ed", "282c39add5270f9fe08d40db2a5735ea2961705f", "f34df8090f6a24b37ee1bda15d743502ff03edab", "fcbedf2113c91fb71fe7bfcf9644a2f7f74ddff3", "4dde27160c8155b209b6630cd3797b6eea04c792", "aa8cc8a80fe591676b09ef50b9cc695c28460c73", "e868cf6bc55777aa5829612f7f791310536d78e0", "322eff0dbf5d7dc18688be29ad5fd7eb8c8d6d54", "da48fb38e4b7dddf6685c8a2a0c62bdaef3168f6", "33d1767600148d3c51b7fffcdfbab48e570620d5", "b0f37cec22bc3d9c36bcbba518fd8926f1da6931", "d8b3bebe39f5f69d68cdb5c04b44aba3f9b5ae02", "8f5e4fc6b92bcc50ed5f91104b69a58ac98ede9d", "812a32915097a8f947e8a64ef3ac7a343463b3f8", "2bed84ee6f8e592dde39a93a77fe06fddf55b817", "e9d89ff7c1bcd610fa8eb44d86598ab5a14bb353", "9588a42bff63fb36015e10fac9f3121154c3ab1d", "20500887735f3fb87ae3ec351e2115e89c0f663e", "4e3618c74350c83edafefbdae21dcda6bc571d23", "50e6ebf213514f4fa5397c142ce05954483f67d3", "8895047fc2081a6efe0a77547e1dad46f648681e", "833da007d1cb183287728b720a03237bee072cd7", "5bf1b3deb467eb2fa0fa2db3d11b9a0784cfd2fb", "91f2b2aeb7e65d0b673ed7e782488b3365027979", "0d2832ba74fb50d79879975c2cda2d85b98a7fe2", "4cd30e654deedb5cab98ad73096ac73c9645860d", "8a268c9d76043e33e958d8bc908cd703ef5405b4", "4f23a446f1f15d0ac65e4e50232531f8eb404a7b", "370277791a0708b7c93deb21da172e025b558643", "f550f8303406cc0056a1f619f774b68eccf126f5", "9b2c813a94cee031325b3e76e20db7072063549f", "b870b9298c4e982468163168f8a08b3d85dff035", "1c60817e241321ce8af54120f82b162e1d803e12", "a004e590586551911b1cfa7688afacba5c8b399f", "e4e601f854e6989eb915e44dbad04ada47110458", "b308706f194e273e19731711db6986863b2db798", "b4b278ab7f37839343be4f77b45bc401eadd257c", "0dd5f2d7c30c51995015b7fc8e282fc12c3665e8", "a77d9e54bf6917e56054c2b70836b535dcfbcbac", "c7cc53622fc3f3b0970bc02dffd08d004d03916c", "18fe745e0840b7b086fb7d14850a95ebbd5ae57b", "e1628b820ba6258026fcf1b8cddb4099794ad120", "ba85ccde9dd53a9c78a9dbb1fe1e34d7800ad1c1", "dce44d81e06f6703b0e85e778e7afbf3c8d0a401", "50814328c14b107c62c3e49bc7347059a9f590ac", "f84e392a19f227bbedd124c7841db3861d600cdc", "b7a096387e09eb8fc1de957c4cf25e894cdfffcd", "f0fa7d7764e4934f21c348341d79b93bbeb6e6cb", "820bdbe2d34198568b31658bd2fabcc2eeead469", "d41a3022a3947b724b026175dcd93cc055ee9b7c", "69cdf6edcbfb3c71ae99a1660b68128e2af3fc70", "d538d06e1565882fae4137f4eaea1fe6d502b19d", "a7f846c1d517f9030532cb8c6076b1de01e5e69d", "34bae042a882c0c4db79bee95420792f9f25eccd", "e80f3d620dee14ab86431ef56f63e4a11f66a02a", "602072750ce931fd592ee0ea6d968ba9746fe34c", "1d1b2f0e612f0d60b723f74a89cb56ec796f0c89", "0066dc9131c25e93111fc092098f6c9db6255f1a", "9114fa9c4e3c2fc310b6e265636ba9acf6cc689c", "0b2de2255280e2726b78b0d7921a206846f2e23e", "43b4db7bd73ff0a7a48298808c2976662b82f370", "dcce157aa2e5db081b36fd16544a038becb408ab", "77851ca35105ebe007d99e5d78ceb3473491071c", "d12a53e797f799108415ee925c6cb6e626ce6d89", "37d53c1addb437a1413004424395b43ab09a6e69", "29f1140cc5750bc6979a41e1eb55df22d9d0ffc7", "603f9fa18be34c37e66a92e81a8a9c2c209ff2ed", "936627bb98bc9dfe8feef0621af2865356a49e4b", "9833e347f8e19de59b931c94d50ef2685fd405fb", "0a572c16e635312f118d1a53f0ff6446402d3c32", "953a85e036a017124a21d69dde6dc3b4fcd7fe5d", "7fa9b158d301ece512fb53e67deba7bb7506a1e1", "195659b922e57d4508ab267d92d1abdcde2dc9e2", "4edf4079bffe3eb9f62c201a4c1d9d7be280d7f8", "1acf1000d47fd8273ac0bca6f9345b55709f6357", "8d6c0487f7b358a6167007eca96911d15e7cf186", "729fb8d4c8afa86bedc6899bf835e32313a40176", "a42013649b10bc21a1aab42f96aab1bd2751652f", "f19e923c6f07c283631a2a998653b67df745b333", "6b383e7bea3cbe57743614ed5566a500b784684e", "31c4017c71b722293dcbafd85d18acf875995835", "76a2844ccf9dd0a04a0d2ba017dc4f94540370ef", "0afb2e3db5b8ffefe6a52fdfc5ee813c25353382", "02c3432b5d97b4ed7b8522c1fc4388bd4eda8e67", "803382a8f1a3762e642ad106ae2e01af8b711b64", "e8b197ada861f35d18024543196be65d4b0f8c97", "6a14b0794d5f9de6d2d72517fdda211b3349bff5", "9eb0eb9fa1ad11692ed49577d369b3721bb4362c", "855854b5c76fd7c79f4ad22eda78a8341721c847", "17d26f2c2e142ccddbf1365c3f2a336a94117bff", "15a196a161ebe6916480eaff6eeb5adce3cb77d5", "24cf50f79329c29e1fff1f83a9b9daa6130b9cc4", "75b84ce3900558621af0b83ed5d413542014d911", "925811b9fdd6c0d901bdd63245ead6a781f38bcb", "7bbc3756d5a99896be9f8dd4fc9b59c6d1e1d7c8", "6c896ca9bafd7479c8291d0448e2910117ee059f", "e118c399cf7787c4c7e9d8602d5f63dde722526a", "061acf48912fe058ba7084dbbdbddc407f01263b", "0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f", "4e0314036c8071b999ca3b24429b91cad4dc94be", "1895252bd951faac9b2336b3fdf1daea7aeaf1a5", "a7353ff60115d2f28c1282d7c2ff733f3bdcc7e1", "9b7c922d00a6bebc60607168ebbda2ebdc703db7", "c51e244be1728fd1abbd4b4bc58d2e555643ea50", "bb774b8ae76ec0818f6eebe10eee17ed30d7079b", "f8e27d3d390e37b0a82e9ba5d9486178b25ae135", "3c8b65999388baad4342baf363e2b872bdabb564", "4ea079e676b8dbf14a8fcfd8b378235eaa8b8aa6", "76d7cec5b32a2624b7a7a0cce4eaf4d43a3fefb7", "1d4d0aa949242d3f90fd3bf2e759ff5bb29ae3e7", "e3b14c7cf882dcb9ae22a42851cff5c69d1c0a31", "7cf28c293fef805c75dde283d5e53e7b4377924b", "84529aa8b6224caec0bd1204f2294903635c451b", "df26e4292378501eac5f99b433c9937225859c9b", "d121714f0862cf923883008b570dcdd70e9128e5", "fc18642d17785ef1853749b5323bf87adb329537", "a7767accf8ebfb51676062ce7102a3984f446a82", "0f4a26d9833d6fd9166c1dae1c53c7c7a6d00e95", "5d5f6ca40afd27fd49c72930a87abd8b9fc4c0b1", "e27c4b8658f6858d26ccbdc7f97cac28da13245b", "2414a082c7ae54c60bb0de874029f073d4c3df5f", "a5ec50c3f268ec68d49acd31e850cb69b65c5a5a", "72b58842d8a9db7f4ec1dab6986e18319748f295", "adba4fe9640c03d8a98bf7604edb32cb868df655", "c6b7c2a485f13bb97283c367dc2811266a68ef64", "86397e61de89beecc5ab675bbd1aa1c48ae889a8", "b0eb2eddcc2575f02615c12d2ca392cbe2048dd0", "0f322826b609c03f0d4eea735999fd37a4cabfbf", "27edd87445ee2474f654563bbae6d265cddc466f", "3d81625b6d51ee81c95333aceaa3f60094f01d6b", "04116bf26e21f6399678b5740690deda11579d0c", "409883c2ec817b5e49a65425f04f4e27af4baccd", "7dfb22b8762575420f914305c5616515bd1b4aba", "45122c17e52f49ccb1ab8ee5b7042a21f1a61beb", "4d39bff41d69bb24f02e66fb5eca244a1d9afe7b", "685150f27d482e22334f8cf8ef2b65eb8c49769d", "eb81fde3cf08dfae350c28b492af7a5a6254b57d", "9bea77f4bf5eaf47f195abea115950cda7372419", "0ff898bd960645fd52f7e374b20eccb4f1f7c9fd", "4f0525205a31893702adfe9d84eb9a460dbc0c75", "1dfe045db68f9c656d98ac85f7fa31851125f1d9", "fbde058357f36b233e722ba2d3ee665ca34d57c9", "d853f490cd3d552d3a6d4a90d1b76c84e746a061", "83c3c4ea5d23d3573e82bd769c35b9db99bec8fa", "5e32d8aec25fc9437889c82c10abaa413a6ac928", "33f4aa3d0c732ff8cdc6593b7ba3bb40af7554e6", "72c37e7507439fc6de2b8385d8842f0805b095b6", "c915bb79e1fed83938dfc8a781dee6d24742c61e", "66e8e8a098a26d61c1844baeb5e9aa761137edbb", "1a765cccff5e14c8f72d3cce13683e506b35c5c6", "923d914e2a2f04490df530891f287768b1f0d602", "3d5e4ae1b8f8384ff490ea5c7d68873b8ce0a25f", "7b965bf132e5971dfa95c67bc7685b73b32e07df", "abe57316b960260a0e89f84229f26d3d8c613e59", "5c296fc8825a3b7fd0c60a86ba43083bc8720afa", "4affeed766c5edc6d5e16f5aa427873ec7d79a76", "a90d72b4b0e026391ac4d7a6b0a5deca2791e718", "3e30c59cfdf9ce2c89481d81912e179a9bd6cbee", "1bd890d0a14f378c99c9b60e214f05d2b5c64928", "bddc9637bf102ad8220238b82a59c3fbcbb82dd8", "0ef45179ed4748c66472153353d65d592a048503", "ccb6c474f7329f85076382e0700463d10c3437e7", "440e9ac4017069a756f82b8c4a1259888317eefe", "b285e50220fb6c09cf3c724c7e48093373df3c58", "abe68def86acc7674f91bd815f637ceab3ce4a2f", "66fc5015ba1039dbc557da2d9c4d914d11ae998e", "ab913a6b4732b31d226ab99faa1dc14a42c72ef5", "a5df78ad005a605ed762e64f47ff9af0df595703", "a6ee83e4655d09063f50a8b97d8dc32adc5fdf3a", "cefdfc7f7348a500772a4d5347ccf26706302d8b", "68c2e7be6e989c2089246ee1bfe0fd902feff76c", "8e963c09144cab961bc90a3c807dc9b92c6aa916", "f63b1aecb09cf4943a7994e98ba88ca99647d4e4", "9bd973e64750a94dcf528da402b39e3a53118312", "6c56051cc87b452683aa9da7b485f89148b31962", "894ad7efafa1b40438ca1ffc7c76ee6694e136d4", "94ab01c46798b55cf02f21e87201d48f4fe746fd", "0464b56c5beee717b074ed950abcc959372256a6", "0d3404530399eaa1f657d925a9a49c9e88a2e23b", "c6e34156d4a303e1ed6d02351c542e42a229653d", "3103a8a83e60aa1ef93b55cb0b2e7f12b9e2913e", "4143777a1c15244edc2387f376e1641dd7bc2854", "2fc0812940e295041f66757c43d966fb0aba0e2d", "ccdf24d85fc14b4710dcee268355548f166ba870", "ff2b0f2c01a4a98e18909a8bd4dab2e12e29b68b", "667f41cb2db2a75e3060cdd3319f25f0c56bb57d", "1bf46be0a8ec177a27db32c523f98d18e2c4c922", "4116a02abfb2a054a32b92fdf4edafa5f8684f10", "6681006eaa13e03d8cf87cf44797e87ffbe0826b", "9a76d45f0373c5f85dacb4c797f371ea787e3956", "d9a4c399f6759a9290c8d9038ae582dcc8a24a18", "40b82e992263e74537b1c4c70bd9d9cf0c241e02", "98eba4505ae23473bb377ee1040ae24331b26247", "aefdbf8dc2566d3d95e3a2bf5eb63bb803bbc38a", "bb6fb618824e29fe8cf16f5956e8265052377ad5", "681a624e58560745cdc232d9c11a015575d179e7", "bf66db9b0a5d18249eb910a6bab0f0a7fea3fb03", "62365af444a7dbf4ee32ea1350f4659d9fc99ce6", "4dd1c0aabefc54f2936693d0c19f7e32e967c8d9", "264837a7c36ac409119cf71b22415d5c227a1870", "42ea94af578b796aa96b68cd1c8ab6f55f22b050", "b9fbf264d61c44c9737513d2cfd331b34d24fd64", "309712bb1858f28983ac1460d2cb43e64ddc6bd4", "19941761feadceb20897974483ede809c4793aa0", "1ad8b5ff526b8d6103051ed792d9ee8ca3c8be54", "99cec3fbef6b7543d3676dbeee1520fd36cd52c3", "b25d312015b7130c0e4ae78d84970cc3956dbe42", "3972e4a91194c260d236c50671e39282ae0384e9", "150326137da214210b46e0b7f22e30f7e6529006", "bc7fdd91d351203f2820240b43b9aa4a66d0a8e3", "1a6b2972506d7d85100552bee99ce2b267e30d41", "04a9de9df349ee0245a6abd08f4e458e65b1325d", "e1250228bf1525d5def11a410bdf03441251dff6", "8a48904820b6cfffe8bd951877a3e6e0d5dd6eaa", "413a1a00f0eab2fcc3dcc0d821fb2f34e85f5d7a", "30a088d311987f43a08f95e8def1e9d2d7f3c46e", "3de3ad0f6ae59ff579dc32856740f9f9b801eadd", "cb9092fe74ea6a5b2bb56e9226f1c88f96094388", "3e16cdf4072cf85e54c6c9f57bad854ac22bcef6", "769f3ff405b076689748762526e0a861fcf03ce6", "bc73f04ecf5cbb96b537937c46ae48eadc80b0d0", "ca91856866bc73f6ade83682895fe4aa16b949b9", "397b0e1db0feedfc4e90a96a3ffa04fb6b8ed569", "3cba45bd70741f38ebf375fec33a9c077288d575", "0f2f1e6e23e4bb9f16ba969d50582e0064ac471c", "5305a899c3f45e312f2ae583fd3abb2d1fede458", "275416b209906988a73125e8ee0615774895c869", "ae94d00bd6c4ef06b73593aefca68723229b9ae9", "722364dc6205074a75a0caf3c1b4d2f27f5eb794", "66e9fb4c2860eb4a15f713096020962553696e12", "8beca6290f6024601272daa4ddca7628b282b081", "0d61fabf4c3111391c31677e478c14af1b0c3a0b", "540a95299f5d9ff70a2d6f0103148c25d20ce37a", "93dd3cbf7483f3f52349df1dec78e9a4e95c81bb", "5c789a504d8d7192b82f5f5a323b6c55ef2d0c6c", "737838428e282f4a312b7a0465fb1f4929cb4a1d", "bee990f78c51444ffc87bd237fdb39f625fa4ab2", "7b358ed87f39a12d737070dc22b4c547ce378648", "b9e43abd1f798f222dd7bf9caf8b597a0eed6316", "b5f851fa4e4392c0a80fb04dcbaa86a29cc7f27a", "6d8eeae743d77b12be8760444724080a94d2e49c", "5088b1ca95e4b3e988d30dadac20e8436f4a0c4e", "132d5724f8531aef54cadb79748929808ba685c0", "1dba153b743d0d1534e3711217498942159e7db1", "8289e4e4fcd4caed5f8259068b92f699a5666386", "8ce4a669358dadbfac69ff0d313af042aeb94de1", "57861866a948ab1e1d61376c4d4b6b251e89dfeb", "6e8c7e0f6a83fd02f0cc6872ca16d755406723e5", "190053ff5ab2a7efbdf5a632eccd0491dd3c5e76", "e8bcef31648bcde5a97c770dddbbcd1e09086930", "09edf114f8764c82713f8dd35b1b32ad83ecaa17", "22554e829483d9914c95ada66ad6e7a92ff42b25", "39652bfdf5574ed7ae59dcfdcd2ca0396b9e0cba", "617a7e6418b5a330fb98c38c61b4c8859a8118cb", "a12f3e1a29dbe709384322c162840238ade1a559", "c19b5cce6c542380ba3bd05fb128918499428914", "68f25fb2f3ab9ef08f5d2de5b632a9df6fd1f4ce", "c69f4ec3ba6ae4a627fcb5d4f58cd07b8c42e4e4", "a231fdbd9065ec7ca76484816bf64a6748426b42", "247b8e6b0e1014e707117c08fc880bb341b2c248", "d622f752379e0d3fb5184bdcaf014efde70061fc", "cb1018a7eadc1b4f686c15d2abd2723d1e6eeec3", "b0f597ffbd5729f2ff7b90079dbf7d26d2be62f5", "dffb4461c45f21d41d85241b63fbd6e2272d4030", "48b7b474af1e86ee6e9db66972155c10cbbdace6", "396037d0ccd86ba8bdecfe8c78bc363770a547a6", "c418d1afbe822870245508f3469c02d440ef77e0", "cd6b6a7d559a204920ee1e13235e461362f343dd", "a9d54e40407be7d8e496830e75a5b6020461ce4b", "f53f990a22967b3eb6c9e9cde81d50a63b6a46d5", "311bd7acf599412fbf6bb0b4c9f14c0939e5486f", "56619761a74013d6c58e9f1b3aa4946054f76b63", "4f1765b1c352093718ccc59f420ead44a4bb267b", "6268ad4bc516a41a30db566e2207079fc483212e", "0fb5159b976e39530a9b4d4a1480efd3ab3cd458", "9ebd150e340fd7e1f67cd50458e80508d6332c1b", "53b35519e09772fb7ec470fdec51c6edb43c4f13", "e293469719cea119bf9688922137f90451f7a67a", "3b682d46d9c8ba9d571cf1a631bb60d6ebb72dfa", "d843488c6ab10586af524048a6cf84d2776a7264", "20a180fbe73a0fc1ca3ebb5f04dae82da9496c83", "2c47ef6a9979cb51f7cdfe3bafdbaa2aec28da8b", "c165003060eeb01e05800a5ee4cd327f1e0bf5e3", "d09a3ec68311af4ebd3cbf7ed906aadffa94a464", "6cdd44193ed8e17a214c4f7673b72b2480ea8dda", "015f9cf25b5902edadd984df53df6e16848c9528", "f8a083e405a8205278135442e21311b43ab56027", "bbc4bdab563b8b4cea55dfd6a7ea32680e082933", "59ede79c2f3e004ae959a329bb8a56804cecec16", "293909c2b4c18982fa0aafe714081ecfbd23b580", "02ebbc4ffc398f3d2a699b5743c41472a5c4a88b", "11d21c7fd5c23b757d8ad274c5e98ecbe8cdc233", "ca1794dc08fae4df7d658407ba8f5cd623f1c1bb", "5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923", "5e172e71d36ecfa968db3cd393dedfc8d4f74343", "2dc1d97001da2fb71524adcffc27492726ace37a", "ca0823ea938736ec3286a5fd3bbc0b3d830b4fb5", "53509b593487ff4b5ce05339b60184b122884452", "0a6c36de8726b6feaab586046ddc1d1a008f44f9", "3b7f93327ec947194f327869a58073d8bb7259ed", "c21b8b8cd5708111ea21d8095c075aef1598efcd", "f523089dad14fee8f90f9e14f30477d2973c6ec7", "83bd4c43468883d4100b38b4f4013731790cd7f0", "2d1b69e2d6b5674d1623ddd9e42c8f700893d6ed", "1f5e47ad5490a63c7bea79000999b711055fbf2a", "346a18025714deaa2a37f4bba9e1a1f79426c8c7", "335486cb9bb326e2b33fb03a74d0f9d671490ae7", "98ed6862bb4d628c29b7fdc9953510f130af9d9a", "bc13a1a4c3e94ba346a8c2125b966e4849a3ab43", "25d48ab3b05bf299fe61ed6580674e893f08380b", "33ef644ef5085237b4f529251d6c895d32d6052f", "a3431ac9b157f7f510b855988107b065ce1deef8", "ad72a3c74a2eb7a02288e2ec86057a37d80227b2", "35eead675b8456076ee0c734991cf467d0becb87", "183381620f30e8d03ad5eeea091dafd8e0892cac", "1df314a1e4dce42fd9fab094b79a0f2a10ad0b03", "11606059047b2f3b2293a43af0a5eacd01830be0", "f3040f4b9fab7f0ccbfdb87117520742a793cf3b", "6688cf4ecaa06de4c7eec2a45194b334e84a9bb8", "ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044", "d75d55a9096038b0c745c0f79d1cd51d190e06d6", "83cf8f2866d030ff3583c4f92b00c27e43647f0c", "ef140c5a517643d89ef6e90b4ec33e95b90ac2d6", "e387b3d3dec004366de7e5f6b049781888adf34a", "cb76c7002b9a813405359b2bc2a29756bf426bb4", "af8261ca1fc8e111cc344c0f3e26c09e39246983", "2d7dc5b052658451f5f5923f73fd7b0aaa0688ef", "e34aa1164def0063dd5e45107592313110adc9dd", "29d6176f2ac871446cfa2b8ac52e9d26a2b0838e", "e85b6f50b14014ee4a9212de4716031e21e92a89", "c100cb3ee6326d4f420c3be27b1232de6cd3bc8d", "1bc783d6bc137b7fabcb5cfc9c4542c500a5c3ba", "0b0e29ff990877127963eb064ea12926f7aeb52a", "248b822f5f6ea1ac88d3b3cefeec75fbffe0fc95", "e1fb8ab53996f06e9a35de6b553333bd6279bcbd", "04d4dcc4b75ebaac6ec393eee57ae64b7931545b", "ad0cf51af6320cf4ced419f9dfab208fda85a10b", "53449d684a621f299030bc2078d32774abfae7e7", "b0285670f2c2f1e66c3a47b71137beec0ad39acd", "4eb412ae320f9e91e4c1e243b40ce502e0d9ac98", "2a2047f32ca7a36413e87271dc7e619a6517898a", "f8d5ab79943ca03d6ce1a24605435054ea9bd105", "8ad83c705f7794f4e35ff1f6b26777d6d0931091", "6fc7b0df95146389c780004f7aee6d09358d71ad", "4ab88d630b1cda47cb8fa094dc730a06244c246f", "7fc9acf2aa68c0995e1af736c2dbe647ceae090e", "1d5d68bee741d81771e9224fe53806e85ed469aa", "9834b3f7096b103b5f36c746c211a61315734918", "f172573a4df493e226aecf19262532a2ddbbabad", "feaa050749597887cfff6b8c2ff4b9d94d979552", "f5d7270939a58aee835357e994b3773076cdefaa", "d922d49557a0a29c1186cea64f02511663455c82", "f555ae02a9942bd1e2c36962490af6306d635afc", "e3d174bc5632dce568bd947303d776b5ae98ec84", "14cb3de564377cc4ba2b9bfe8ebd8c0a7c2787ce", "3388719e1bc9fd7f15e9068a5e7a5f4cc7e3c0a2", "4afa7f03e40d96aaf05a09c318f758348269b579", "158ad4a4a0e3bed2c512d67048b42cde78ed2307", "7b4be5c162e10d26235d5c9e188e4832e003bcaa", "168c645b3999cc0ebc10754a0a55fd139c53c9c3", "4bd21123e4193f61da38f8246380f1dc9d39a646", "b8968033438c1a53219dd75150b711a6aae6bee7", "0ad119275960fd1b68004feeb84d41b91bc273c8", "83bf70f55f0e1a4f5fdf7a64a25f2c1fd927f57e", "4d071bb0501ebb478ca3963dae1f4cdea497f72f", "139763a0b2e78b63b245a456f2b9dbde2d1d573c", "9c7e4721c5ee32bf09ea1014ac50ed16fbfeb962", "7bc96a4b8165e283bc25139da5d88333db6309d9", "a98ee26b04478a04bb1d6c80c0bde10ef3daad0b", "f0308e72f981ab902ab0f5256c40cb2302e8ac0d", "53e74232ca0fe2e26dea8fceeb5c79d9b36d27a6", "72725cebef376922cf4335e48fa059f8aea49acb", "60c43614331eef0e2a8d8b303f61ee9681294647", "c75f71fce33f81318a9d850f21153dba157894a5", "7d7cfc8dc71967f93c2b5ec611747e63c06e1aa1", "4be63e7891180e28085d03bb992abbc5104ac446", "da633d1d43a7c5ea2c505e6902a7cf3d9da2a0f8", "116cb9384c51651abbf17806e60f63131347ac0d", "e1a3c4f31e73bedc457b7a7fde7f5ac0c2647f83", "03965ea69709a5a97f10a4f03b8529470c0ea05a", "1b2d743e4cce2293ae67930d44000ff1d3f53619", "77d91c50159ec2d78d6f2475f6e9900622f0aa7c", "3de8310c685cc9ce6327ce715e835e8806539a34", "089edf0f53e670ba908b93cb0c44fc4f2bfa5511", "1e94ae83bd49cc9c6366a7f486ed5956e5fa0e14", "1f53ca209f982500069fed73efe2345358eff79e", "678aa1c5241590481ea8f54eea69e193f513a8ec", "d473ac0467fa6f86e411c839ca0dcba4397d39c6", "4a691bd830cd0fdbb4a13ba91160e973386250dd", "78c9a63be8e07dc6acb90f4fe3f06821719eaa34", "7beb3d87864ad78df89235fb323d8837b8846475", "8b354fbf6f4a08a9169940c1f353345fb566ac87", "0695d67efdf7bf82a99a4fcf13e65ce6b97afc57", "3b8411bd68ec818359d68471099d7283d1a5cd94", "1d328a61c10c5ed2e5c24d483cf5293e61ea846d", "08b302ffc8f4659f9f5a6f33e870032d8d3ae598", "741723051f50070be86fb06ff378a78a76fd54e3", "e7a4e1fda9cf8e03e8d4ec96b6a1591914b8e1c6", "718488bb2a00e4853bc6abb5b2ec129273ba8d15", "52f3b79d813a1fa68d8e8b34705f72cc089457a9", "ca14a1c7c8a0725164d119b7b83189b0ad19055a", "59139d77a5418826d75da14fbebefeed180e61f5", "9035e87ce49b67b751838c7346d36fe481260217", "d04092811cd1204f560087422e2b60e4be76465f", "41e5a06cb3374fceab3a228b21340f6ada0248ed", "c3a9767797c58f3bbdcbf0cc950ec3e55de5827a", "e6ff9da79e8f46e1a110a16ec306a44bddc376e6", "3d10a1ded3688610d88b715e1de02c3458708ad2", "41eb9acb7326cbb5f8f270bc0176443c1c170200", "c3e75536a0b99bf7c55c5cd95900b2ffd14e5096", "eebf82925482e663d7dc5d90871baafa44245e52", "fc74e14a3195fdf91157d5ea86d35c576fcf01d6", "79a7bfdb8fba80240c0f8e7852c4e85f3a4fd8c0", "37cf9143dd6f7695fc179cd00588110fd9aa3ae5", "8c2c788571c0feda311e7d4358791505514919d8", "373d33254f6f57de1203b1a7b76f9bc95b827a3c", "f166c4652e978bce7d8e494ea7c13ef275b063df", "b109eb542610ead0b83ea23b4b2f45b18747e8bd", "2cf264065bf579247b3f0754de7e6592cf5a66ad", "cee02ca4d324644be4aa86e0e42c6c268c034bb2", "00eea9f10738475e9c37a5a240b2f3a2515f16bb", "936547a21fa52c0a8df4705a7d9af3817b1235a8", "7135bed472d9a307d0612634d690c6306f5bce26", "5b8b9ab0feabc023f3ebcbd99d86bcbdb79245ba", "878130455685650f0f185313371a3f4897f06c14", "b2f69961ef207d478e4dedc7ab955fd67b30ab3c", "a9812d22ccc56178c956258d69664f49a2f3bcb7", "eaa334c28bd53d2cc37c1973cd9f5f4a5be1012b", "97ec813ef2809557a6b9dcb58897756d634dde16", "cd0ffa823ec50bda250aa7a364aaf87ce32384d0", "88a37a05024ef3390e2f1b67fb3637d1c8bbddb3", "09771c0f9eeba235555337034f4aa7a42c8833fd", "6d67c2368650a65900b0d13c9ee9554dfdf8c03a", "ebe7063c2dbc5f162be874b47a93d6b05070101c", "f8edb37ecc8e30392250af248c402fa3a118f8c7", "02b589c7e20ecce80938b173ad805cdb2bb0e7e8", "5b33a220defa5362e7e1f1b664ad18e466b0515a", "b147baa55e7b6456419d1518ccc9fd16f5ba2db2", "c65f39247c6c055097f769b79792287637e5b29d", "95264dd570b2747f863fa6c52cdde3d0cbbede2a", "06f251cceff93dac123e8568773295f2d0d702da", "1806665f9571bbdcf654f3bdf5e009bcb8eac799", "ac71673da236ac440f647226dddd94aef3bd72b2", "55cc90968e5e6ed413dd607af2a850ac2f54e378", "0af48a45e723f99b712a8ce97d7826002fe4d5a5", "f7de943aa75406fe5568fdbb08133ce0f9a765d4", "d2598c088b0664c084413796f39697c6f821d56e", "65b737e5cc4a565011a895c460ed8fd07b333600", "6b8329730b2e13178a577b878631735a1cd58a71", "1677d29a108a1c0f27a6a630e74856e7bddcb70d", "d6ca3dc01de060871839d5536e8112b551a7f9ff", "7574f999d2325803f88c4915ba8f304cccc232d1", "a75ee7f4c4130ef36d21582d5758f953dba03a01", "053b263b4a4ccc6f9097ad28ebf39c2957254dfb", "05b94a28a7a5eda5b87b317edb968ecf2499f614", "47638197d83a8f8174cdddc44a2c7101fa8301b7", "21258aa3c48437a2831191b71cd069c05fb84cf7", "078d507703fc0ac4bf8ca758be101e75ea286c80", "14e66126040d0be79cb06fdd9532f2c8efa98e2c", "fc958c029ca92492c107a10fc982ca00a04f2a34", "548952720ddc6afa8b62154075eb195c6b48217f", "223ec77652c268b98c298327d42aacea8f3ce23f", "9d0943e5098e3a11fedc7d441a145ae1b2dac26d", "bed06e7ff0b510b4a1762283640b4233de4c18e0", "75a9d9ea6c1a5ee55fc0ccb347b263785b15ac0a", "cc9057d2762e077c53e381f90884595677eceafa", "2f16baddac6af536451b3216b02d3480fc361ef4", "682760f2f767fb47e1e2ca35db3becbb6153756f", "09628e9116e7890bc65ebeabaaa5f607c9847bae", "14fb3283d4e37760b7dc044a1e2906e3cbf4d23a", "cbd004d4c5e3b64321dc1a8f05fa5d64500389c2", "8686b15802529ff8aea50995ef14079681788110", "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "7224d58a7e1f02b84994b60dc3b84d9fe6941ff5", "2f065b51547c671ad9267d08f9f428950849ab9f", "0a15b8c7d529c7facc2d3b4c2111801dd4adfc28", "1df84bf495d15569258513f229325d922b91e045", "2559b15f8d4a57694a0a33bdc4ac95c479a3c79a", "bfdafe932f93b01632a5ba590627f0d41034705d", "23ee7b7a9ca5948e81555aaf3a044cfec778f148", "06f146dfcde10915d6284981b6b84b85da75acd4", "f663ad5467721159263c1cde261231312893f45d", "7859667ed6c05a467dfc8a322ecd0f5e2337db56", "16395b40e19cbc6d5b82543039ffff2a06363845", "a481e394f58f2d6e998aa320dad35c0d0e15d43c", "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "b59c8b44a568587bc1b61d130f0ca2f7a2ae3b88", "7fa2605676c589a7d1a90d759f8d7832940118b5", "6e2041a9b5d840b0c3e4195241cd110640b1f5f3", "15396d785fbbc977957565d3d7478a18672cb83b", "eca706b4d77708452bdad1c98a23e4e88ce941ab", "593234ba1d2e16a887207bf65d6b55bbc7ea2247", "587f81ae87b42c18c565694c694439c65557d6d5", "17d01f34dfe2136b404e8d7f59cebfb467b72b26", "a9d861e270b8b1e6deea1936b258f49f1823005b", "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "2f841ff062053f38725030aa1b77db903dad1efb", "9b93406f3678cf0f16451140ea18be04784faeee", "0ec1673609256b1e457f41ede5f21f05de0c054f", "b5bd67ada6de799d96f65ef0f1b6ba1cb85e3dd8", "68c5238994e3f654adea0ccd8bca29f2a24087fc", "08a1fc55d03e4a73cad447e5c9ec79a6630f3e2d", "5d01283474b73a46d80745ad0cc0c4da14aae194", "96b6f8ac898c8ef6b947c50bb66fe6b1e6f2fb11", "f86ddd6561f522d115614c93520faad122eb3b56", "a14db48785d41cd57d4eac75949a6b79fc684e70", "36b13627ee8a5a8cd04645213aabfa917bbd32f5", "9cf718136c8a33659dc35bf0a7fd4a8c6c68f75d", "7cee0311e71dca540aaf3d87bef3a6c97ca39bc3", "7196b3832065aec49859c61318037b0c8c12363a", "0abfb5b89e9546f8a5c569ab35b39b888e7cea46", "5050807e90a925120cbc3a9cd13431b98965f4b9", "a325d5ea42a0b6aeb0390318e9f65f584bd67edd", "97b8249914e6b4f8757d22da51e8347995a40637", "8a83387dba9b768416c931b1df600777c9bff868", "6577c76395896dd4d352f7b1ee8b705b1a45fa90", "159caaa56c2291bedbd41d12af5546a7725c58d4", "8910bf3a708ee31942dc1b623fcf6e7ca4438c18", "34ce703b7e79e3072eed7f92239a4c08517b0c55", "0f0366070b46972fcb2976775b45681e62a94a26", "cf4c1099bef189838877c8785812bc9baa5441ed", "d066575b48b552a38e63095bb1f7b56cbb1fbea4", "9b1a70d6771547cbcf6ba646f8775614c0162aca", "eac97959f2fcd882e8236c5dd6035870878eb36b", "705e086bb666d129a6969882cfa49282116a638e", "a6793de9a01afe47ffbb516cc32f66625f313231", "a6583c8daa7927eedb3e892a60fc88bdfe89a486", "c5fe40875358a286594b77fa23285fcfb7bda68e", "8ebe2df4d82af79f0f082ced70f3a73d7fb93b66", "4268ae436db79c4eee8bc06e9475caff3ff70d57", "14318d2b5f2cf731134a6964d8193ad761d86942", "397022a4460750c762dbb0aaebcacc829dee8002", "9e60614fd57afe381ae42c6ee0b18f32f60bb493", "a51882cfd0706512bf50e12c0a7dd0775285030d", "785eeac2e236a85a45b4e0356c0745279c31e089", "da928ac611e4e14e454e0b69dfbf697f7a09fb38", "cac8bb0e393474b9fb3b810c61efdbc2e2c25c29", "7f5346a169c9784ca79aca5d95ae8bf2ebab58e3", "f6c70635241968a6d5fd5e03cde6907022091d64", "2ebc35d196cd975e1ccbc8e98694f20d7f52faf3", "4b74f2d56cd0dda6f459319fec29559291c61bff", "f1061b2b5b7ca32edd5aa486aecc63a0972c84f3", "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "1d696a1beb42515ab16f3a9f6f72584a41492a03", "f69de2b6770f0a8de6d3ec1a65cb7996b3c99317", "a8faeef97e2a00eddfb17a44d4892c179a7cc277", "405526dfc79de98f5bf3c97bf4aa9a287700f15d", "cd23dc3227ee2a3ab0f4de1817d03ca771267aeb", "2ff9ffedfc59422a8c7dac418a02d1415eec92f1", "992b276f85d88b90e5942ebc330e397461bf775f", "aade6c3dbea3b0a918f87c85a36cb6b06eff4f5b", "922838dd98d599d1d229cc73896d55e7a769aa7c", "dc1105c7171a0922bfde7612aa069231720ee694", "53fdcc3a5a7e42590c21bbb4fe90d7f353ca21e5", "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "5fe1728aee6b1045c2a4717afb8cb49254d777f1", "83c1fee5ef4b7ba9d9730f3b550dd7bfbdaf591d", "248db911e3a6a63ecd5ff6b7397a5d48ac15e77a", "98c5dc00bd21a39df1d4411641329bdd6928de8a", "3039627fa612c184228b0bed0a8c03c7f754748c", "af97a51f56cd6b793cf96692931a8d1ddbe4e3cc", "100105d6c97b23059f7aa70589ead2f61969fbc3", "1f8656e2254e353a91cceb08b33c25643a1b1fb7", "0c12cbb9b9740dfa2816b8e5cde69c2f5a715c58", "59b6ff409ae6f57525faff4b369af85c37a8dd80", "7acbf0b060e948589b38d5501ca217463cfd5c2f", "718d3137adba9e3078fa1f698020b666449f3336", "7f57e9939560562727344c1c987416285ef76cda", "17fd37ef5678ce967e47cb670ebf81cf26b70a5e", "c48b2582429cc9ae427a264eed469d08b571acde", "2ef328e035b2b5501ceddc0052615d4cebac6f1f", "3be027448ad49a79816cd21dcfcce5f4e1cec8a8", "16d7e73f9353e12a18bfcc8b96bc6d589935da8e", "4be774af78f5bf55f7b7f654f9042b6e288b64bd", "b6620027b441131a18f383d544779521b119c1aa", "026a9cfe3135b7b62279bc08e2fb97e0e9fad5c4", "345cc31c85e19cea9f8b8521be6a37937efd41c2", "80277fb3a8a981933533cf478245f262652a33b5", "55a7286f014cc6b51a3f50b1e6bc8acc8166f231", "8de5dc782178114d9424d33d9adabb2f29a1ab17", "7f904093e6933cab876e87532111db94c71a304f", "4c71b0cdb6b80889b976e8eb4457942bd4dd7b66", "31ace8c9d0e4550a233b904a0e2aabefcc90b0e3", "f558af209dd4c48e4b2f551b01065a6435c3ef33", "0e73d2b0f943cf8559da7f5002414ccc26bc77cd", "e2b3aae594035e58f72125e313e92c7c4cc9d5bb", "976e0264bb57786952a987d4456850e274714fb8", "913961d716a4102d3428224f999295f12438399f", "0c79a39a870d9b56dc00d5252d2a1bfeb4c295f1", "f328137ba1924c8b451be32c7bd8d1d9a5c392d6", "5fea26746f3140b12317fcf3bc1680f2746e172e", "47a2727bd60e43f3253247b6d6f63faf2b67c54b", "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "86a8b3d0f753cb49ac3250fa14d277983e30a4b7", "0ea38a5ba0c8739d1196da5d20efb13406bb6550", "37179032085e710d1d62a1ba2e9c1f63bb4dde91", "477236563c6a6c6db922045453b74d3f9535bfa1", "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "3d0b2da6169d38b56c58fe5f13342cf965992ece", "9a59abdf3460970de53e09cb397f47d86744f472", "82e66c4832386cafcec16b92ac88088ffd1a1bc9", "e790a2538579c8e2ef9b314962ab26197d6664c6", "ff8db3810f927506f3aa594d66d5e8658f3cf4d5", "2faa09413162b0a7629db93fbb27eda5aeac54ca", "1da83903c8d476c64c14d6851c85060411830129", "7d41b67a641426cb8c0f659f0ba74cdb60e7159a", "2d71e0464a55ef2f424017ce91a6bcc6fd83f6c3", "a538b05ebb01a40323997629e171c91aa28b8e2f", "5fe3a9d54d5070308803dd8ef611594f59805400", "38f06a75eb0519ae1d4582a86ef4730cc8fb8d7f", "3ce96f03874d42345c0727edc78b6949b20b4a11", "5798055e11e25c404b1b0027bc9331bcc6e00555", "164d8909f6b7cc9d0a39eb22fe0a9b9bd0698c2f", "aa892fe17c06e2b18db2b12314499a741e755df7", "8b8728edc536020bc4871dc66b26a191f6658f7c", "2d0363a3ebda56d91d704d5ff5458a527775b609", "69a68f9cf874c69e2232f47808016c2736b90c35", "bf4f79fd31493648d80d0a4a8da5edeeaba74055", "c0270a57ad78da6c3982a4034ffa195b9e932fda", "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "550351edcfd59d3666984771f5248d95548f465a", "0faee699eccb2da6cf4307ded67ba8434368257b", "c1dfabe36a4db26bf378417985a6aacb0f769735", "0b6616f3ebff461e4b6c68205fcef1dae43e2a1a", "2dd2c7602d7f4a0b78494ac23ee1e28ff489be88", "041b51a81a977b5c64682c55414ad8d165c1f2ce", "20e505cef6d40f896e9508e623bfc01aa1ec3120", "133dd0f23e52c4e7bf254e8849ac6f8b17fcd22d", "46e0703044811c941f0b5418139f89d46b360aa3", "0163d847307fae508d8f40ad193ee542c1e051b4", "55966926e7c28b1eee1c7eb7a0b11b10605a1af0", "1b6394178dbc31d0867f0b44686d224a19d61cf4", "b4bbb9ad9768f130ae51185494226be558da695c", "59bfeac0635d3f1f4891106ae0262b81841b06e4", "5763b09ebca9a756b4adebf74d6d7de27e80e298", "0b3786a3a0ea7ec08f01636124c183dbee8f625f", "affa61d044daa1a7d43a6803a743eab47c89c45d", "0fcf04fda0bea5265b73c85d2cc2f7f70416537b", "3f5693584d7dab13ffc12122d6ddbf862783028b", "e88988f4696e7e2925ed96467fde4314bfa95eff", "345bea5f7d42926f857f395c371118a00382447f", "6d8e3f3a83514381f890ab7cd2a1f1c5be597b69", "73fd7e74457e0606704c5c3d3462549f1b2de1ad", "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "5ac23ecff8ad11ba6de4ce09b058d05e1d41d01c", "bbc4b376ebd296fb9848b857527a72c82828fc52", "99d7678039ad96ee29ab520ff114bb8021222a91", "0486214fb58ee9a04edfe7d6a74c6d0f661a7668", "0be418e63d111e3b94813875f75909e4dc27d13a", "385750bcf95036c808d63db0e0b14768463ff4c6", "fc2bad3544c7c8dc7cd182f54888baf99ed75e53", "bd9e0b6a90b51cc19b65f51dacd08ce1a7ccaac5", "782188821963304fb78791e01665590f0cd869e8", "56e25358ebfaf8a8b3c7c33ed007e24f026065d0", "d73d2c9a6cef79052f9236e825058d5d9cdc1321", "cacce7f4ce74e3269f5555aa6fd83e48baaf9c96", "c1f05b723e53ac4eb1133249b445c0011d42ca79", "314c4c95694ff12b3419733db387476346969932", "9c23859ec7313f2e756a3e85575735e0c52249f4", "0653dcdff992ad980cd5ea5bc557efb6e2a53ba1", "71bbda43b97e8dc8b67b2bde3c873fa6aacd439f", "f4b5a8f6462a68e79d643648c780efe588e4b6ca", "34dd83115195676e7a8b008eb0e9abe84b330b32", "76d1c6c6b67e67ced1f19a89a5034dafc9599f25", "c8fc771fbc889ad70e841d93cfb7e38cfa1be1f1", "06a6347ac14fd0c6bb3ad8190cbe9cdfa5d59efc", "85cf25b9c92ffea7d72d33067b2836208d14910c", "189b1859f77ddc08027e1e0f92275341e5c0fdc6", "d666ce9d783a2d31550a8aa47da45128a67304a7", "9b6d9f0923e1d42c86a1154897b1a9bd7ba6716c", "57c270a9f468f7129643852945cf3562cbb76e07", "bfd383f309b18c2934bb802eac0783b145686b77", "a25106a76af723ba9b09308a7dcf4f76d9283589", "556545eec370b9d300fc044a1aa63fc44fd79b0f", "25c3cdbde7054fbc647d8be0d746373e7b64d150", "15e12d5c4d80a2b6f4d957a3ffd130564e9bab3a", "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "919d3067bce76009ce07b070a13728f549ebba49", "aefc7c708269b874182a5c877fb6dae06da210d4", "3607ff03515544df3279d9de553bc774cc1f4bd0", "cf73b404f9ac98f8d5801f54ca40dd1d792c701a", "ee1f9637f372d2eccc447461ef834a9859011ec1", "c352b5ccd6fa1812b108d74d268ce3f19efccf0b", "3bd10f7603c4f5a4737c5613722124787d0dd818", "784a83437b3dba49c0d7ccc10ac40497b84661a5", "2adffdffa16475ae71bb2adcf65840f01f1e53f7", "9b246c88a0435fd9f6d10dc88f47a1944dd8f89e", "5945c0f0bb7ac410df3eeb26083d35eccc7e8734", "778c1e95b6ea4ccf89067b83364036ab08797256", "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "676f9eabf4cfc1fd625228c83ff72f6499c67926", "b3154d981eca98416074538e091778cbc031ca29", "06bad0cdda63e3fd054e7b334a5d8a46d8542817", "06b0a66fd062a9bc7f0d94e270e4ddf47b275c10", "c614450c9b1d89d5fda23a54dbf6a27a4b821ac0", "cf2e1ebb9609f46af6de0c15b4f48d03e37e54ba", "552122432b92129d7e7059ef40dc5f6045f422b5", "2f59f28a1ca3130d413e8e8b59fb30d50ac020e2", "0093ace3e220869ac9aa407c7fb940ddb82c7a2b", "5dfebcb7bfefb1af1cfef61a151abfe98a7e7cfa", "2c0acaec54ab2585ff807e18b6b9550c44651eab", "1e8394cc9fe7c2392aa36fb4878faf7e78bbf2de", "fd615118fb290a8e3883e1f75390de8a6c68bfde", "43476cbf2a109f8381b398e7a1ddd794b29a9a16", "0e454686f83284ced2ffc5740829552a032671a3", "5922e26c9eaaee92d1d70eae36275bb226ecdb2e", "29f27448e8dd843e1c4d2a78e01caeaea3f46a2d", "90e56a8515c8c2ff16f5c79c69811e283be852c7", "131178dad3c056458e0400bed7ee1a36de1b2918", "0cf7741e1fdb11a77cdf39b4dda8c65a62af4f23", "c63b614865bd9e5b4944894083e5e9d4aba82d86", "4b60e45b6803e2e155f25a2270a28be9f8bec130", "3f501130dcae183c3e5abcc71cb40e29b791c446", "391b86cf16c2702dcc4beee55a6dd6d3bd7cf27b", "8bbbdff11e88327816cad3c565f4ab1bb3ee20db", "6043006467fb3fd1e9783928d8040ee1f1db1f3a", "35d42f4e7a1d898bc8e2d052c38e1106f3e80188", "53509017a25ac074b5010bb1cdba293cdf399e9b", "189a839c708f95772ccaad72bfb4d0321d1535d6", "271df16f789bd2122f0268c3e2fa46bc0cb5f195", "061e29eae705f318eee703b9e17dc0989547ba0c", "64cf1cda80a23ed6fc1c8e66065614ef7bdeadf3", "2e475f1d496456831599ce86d8bbbdada8ee57ed", "3137a3fedf23717c411483c7b4bd2ed646258401", "992e4119d885f866cb715f4fbf0250449ce0db05", "743e582c3e70c6ec07094887ce8dae7248b970ad", "776362314f1479f5319aaf989624ac604ba42c65", "1910f5f7ac81d4fcc30284e88dee3537887acdf3", "d2d9612d3d67582d0cd7c1833599b88d84288fab", "a0d6390dd28d802152f207940c7716fe5fae8760", "29120de3b01fbb6b18665563a3397e3e30a85872", "42eda7c20db9dc0f42f72bb997dd191ed8499b10", "0ad4a814b30e096ad0e027e458981f812c835aa0", "9821669a989a3df9d598c1b4332d17ae8e35e294", "92c4636962b719542deb984bd2bf75af405b574c", "7e8016bef2c180238f00eecc6a50eac473f3f138", "26b606ac6beb2977a7853b032416c23c7b36cb8a", "b75eecc879da38138bf3ace9195ae1613fb6e3cc", "dc5d9399b3796db7fd850990402dce221b98c8be", "7a1ce696e260899688cb705f243adf73c679f0d9", "24de12df6953151ef5cd0379e205eb0f57ff9d1f", "6324fada2fb00bd55e7ff594cf1c41c918813030", "01e12be4097fa8c94cabeef0ad61498c8e7762f2", "1251deae1b4a722a2155d932bdfb6fe4ae28dd22", "4f0d9200647042e41dea71c35eb59e598e6018a7", "6256b47342f080c62acd106095cf164df2be6020", "f7b4bc4ef14349a6e66829a0101d5b21129dcf55", "aeff403079022683b233decda556a6aee3225065", "09b80d8eea809529b08a8b0ff3417950c048d474", "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "0c84bc7fe88b908835f42b27b0093fb8e83e5b6c", "23c3eb6ad8e5f18f672f187a6e9e9b0d94042970", "7a6d9f89e0925a220fe3dfba4f0d2745f8be6c9a", "4e343c66c5fe7426132869d552f0f205d1bc5307", "0f4eb63402a4f3bae8f396e12133684fb760def1", "3bd56f4cf8a36dd2d754704bcb71415dcbc0a165", "7914c3f510e84a3d83d66717aad0d852d6a4d148", "50614ff325f0c8ca20f99efc55d65a8d4cc768cd", "3a2a37ca2bdc82bba4c8e80b45d9f038fe697c7d", "26bbe76d1ae9e05da75b0507510b92e7e6308c73", "7ab930146f4b5946ec59459f8473c700bcc89233", "3519241c9ac13ca43e533844e2d3644d162dde22", "4307e8f33f9e6c07c8fc2aeafc30b22836649d8c", "7923742e2af655dee4f9a99e39916d164bc30178", "706b9767a444de4fe153b2f3bff29df7674c3161", "be437b53a376085b01ebd0f4c7c6c9e40a4b1a75", "73ba33e933e834b815f62a50aa1a0e15c6547e83", "f63b3b8388bc4dcd4a0330402af37a59ce37e4f3", "a695c2240382e362262db72017ceae0365d63f8f", "89de30a75d3258816c2d4d5a733d2bef894b66b9", "d61578468d267c2d50672077918c1cda9b91429b", "68bec0e90fb276d9ee9dde445aaf50255e85a116", "5502dfe47ac26e60e0fb25fc0f810cae6f5173c0", "4cb0e0c0e9b92e457f2c546dc25b9a4ff87ff819", "124538b3db791e30e1b62f81d4101be435ee12ef", "0db36bf08140d53807595b6313201a7339470cfe", "071ec4f3fb4bfe6ae9980477d208a7b12691710e", "8557914593e8540fcdd9b11aef076f68d41d3b4b", "11dc744736a30a189f88fa81be589be0b865c9fa", "f0f0e94d333b4923ae42ee195df17c0df62ea0b1", "8a1e95b82d8cf27e0034e127091396efd4c8bd9e", "27218ff58c3f0e7d7779fba3bb465d746749ed7c", "2af620e17d0ed67d9ccbca624250989ce372e255", "96f4a1dd1146064d1586ebe86293d02e8480d181", "6a38c575733b0f7118970238e8f9b480522a2dbc", "8a2bedaa38abf173823944f0de2c84f5b2549609", "d8b4698d5dcdcf25c6d639bd5ac6073a839bc4e1", "d065996d413814b58092d4b881f3ac6e9d6b15d8", "54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3", "5666ed763698295e41564efda627767ee55cc943", "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "7d94fd5b0ca25dd23b2e36a2efee93244648a27b", "3291aff20c171927eed7896eba659ce599ccb666", "f5aee1529b98136194ef80961ba1a6de646645fe", "ff25c6602305ac46e9c35ffa4e30b14d679a5413", "e1f790bbedcba3134277f545e56946bc6ffce48d", "96fbadc5fa1393d59ce0b8fd3d71aebc1fe35b40", "633101e794d7b80f55f466fd2941ea24595e10e6", "7668ce758af72df8e0a10d4b3cb0fd58092fe3e1", "b0b944b3a783c2d9f12637b471fe1efb44deb52b", "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "1617f56c86bf8ea61de62062a97961d23fcf03d3", "44b30a1048465cd56904cdcbec8e79dffab693bd", "77c3574a020757769b2ca807ff4b95a88eaa2a37", "a9791544baa14520379d47afd02e2e7353df87e5", "ca447d6479554b27b4afbd0fd599b2ed39f2c335", "565f7c767e6b150ebda491e04e6b1de759fda2d4", "4a4b5ae5793696b861aa009932e7a121d36ad67a", "042825549296ea419d95fcf0b5e71f72070a5f0d", "abe4c1d6b964c4f5443b0334a44f0b03dd1909f4", "81a4397d5108f6582813febc9ddbeff905474120", "09d8c49197a885299bd18fdce9764ed66187b83d", "4d625677469be99e0a765a750f88cfb85c522cce", "5e6ba16cddd1797853d8898de52c1f1f44a73279", "2b6f6800bcb7dbf09e1caac725f39ed14bb7db50", "21e828071249d25e2edaca0596e27dcd63237346", "f39783847499dd56ba39c1f3b567f64dfdfa8527", "f4ebbeb77249d1136c355f5bae30f02961b9a359", "6acb911d57720367d1ae7b9bce8ab9f9dcd9aadb", "458677de7910a5455283a2be99f776a834449f61", "ab8f9a6bd8f582501c6b41c0e7179546e21c5e91", "36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958", "edbe675596c8452fce625477fe6b0a3f0eaf39ee", "356a144d2aa5cc5e74d178dae3963003871aa8a1", "ac48ecbc7c3c1a7eab08820845d47d6ce197707c", "c63a565dcf3114579e555feda498de6a0563d698", "42f6f5454dda99d8989f9814989efd50fe807ee8", "4f591e243a8f38ee3152300bbf42899ac5aae0a5", "3312eb79e025b885afe986be8189446ba356a507", "9f8ebf149aed8a0eda5c3375c9947c6b26eb7873", "1afd481036d57320bf52d784a22dcb07b1ca95e2", "0058cbe110933f73c21fa6cc9ae0cd23e974a9c7", "79dc84a3bf76f1cb983902e2591d913cee5bdb0e", "9e9052256442f4e254663ea55c87303c85310df9", "9cc99d8190f83b39f99ddd14fd04b809e1987610", "f95ba7673789d1b4118d30e360a5a37fd75d3961", "dcc38db6c885444694f515d683bbb50521ff3990", "177d1e7bbea4318d379f46d8d17720ecef3086ac", "0eed55ea9f401f25e1474cdbaf09367f44b4f490", "424e52158b43e40f356af7eafb35c91a9e13db30", "5c3dce55c61ee86073575ac75cc882a215cb49e6", "ab133af7ec2726f712dd049213e6a27449d28c78", "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "f0a3f12469fa55ad0d40c21212d18c02be0d1264", "3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10", "4d3c4c3fe8742821242368e87cd72da0bd7d3783", "71dcbca34d71bda0bc41c33c04d2c1a740274feb", "0182d090478be67241392df90212d6cd0fb659e6", "8518b501425f2975ea6dcbf1e693d41e73d0b0af", "869a2fbe42d3fdf40ed8b768edbf54137be7ac71", "d9318c7259e394b3060b424eb6feca0f71219179", "53f5cb365806c57811319a42659c9f68b879454a", "32d8e555441c47fc27249940991f80502cb70bd5", "52a9f957f776c8b3d913cfcd20452b9e31c27845", "5b73b7b335f33cda2d0662a8e9520f357b65f3ac", "0273414ba7d56ab9ff894959b9d46e4b2fef7fd0", "3d2d439ead6e32877ce40e5568e62dee4a877836", "37007af698b990a3ea8592b11d264b14d39c843f", "046865a5f822346c77e2865668ec014ec3282033", "f834c50e249c9796eb7f03da7459b71205dc0737", "1fcb905e4505a781fb0b375eb470f5661e38ae39", "49c3750efa8dd268c7f9ce228e1b8d16a5df472b", "177bc509dd0c7b8d388bb47403f28d6228c14b5c", "fdfaf46910012c7cdf72bba12e802a318b5bef5a", "2d38fd1df95f5025e2cee5bc439ba92b369a93df", "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "f05ad40246656a977cf321c8299158435e3f3b61", "f3fcaae2ea3e998395a1443c87544f203890ae15", "390e212d4a874d8d2256e55fe0dee9193e4c376a", "318a81acdd15a0ab2f706b5f53ee9d4d5d86237f", "3eec9e8d5051e84624ea7e009a8947403dee99d1", "f1da4d705571312b244ebfd2b450692fd875cd1f", "d98a36081a434451184fa4becb59bf5ec55f3a1e", "88691c3b74753a8bd67459896c8660deece9a2b0", "20d6a4aaf5abf2925fdce2780e38ab1771209f76", "5b89744d2ac9021f468b3ffd32edf9c00ed7fed7", "3ada7640b1c525056e6fcd37eea26cd638815cd6", "0b51197109813d921835cb9c4153b9d1e12a9b34", "4568063b7efb66801e67856b3f572069e774ad33", "4b7f21b48c7e0dc7334e36108f558d54642c17c0", "ea218cebea2228b360680cb85ca133e8c2972e56", "378ae5ca649f023003021f5a63e393da3a4e47f0", "e51927b125640bfc47bbf1aa00c3c026748c75bd", "435642641312364e45f4989fac0901b205c49d53", "a6e8a8bb99e30a9e80dbf80c46495cf798066105", "1c4fa67f46181af06cb4b44bb5c11f8c1473e75a", "72119cb98f9502ec639de317dccea57fd4b9ee55", "c253694c153cc016d745df089bae0220e7f297ee", "57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1", "8e55486aa456cae7f04fe922689b3e99a0e409fe", "2cf3564d7421b661e84251d280d159d4b3ebb336", "4622b82a8aff4ac1e87b01d2708a333380b5913b", "0fe96806c009e8d095205e8f954d41b2b9fd5dcf", "dc107e7322f7059430b4ef4991507cb18bcc5d95", "adf7ccb81b8515a2d05fd3b4c7ce5adf5377d9be", "2020e8c0be8fa00d773fd99b6da55029a6a83e3d", "191674c64f89c1b5cba19732869aa48c38698c84", "aa577652ce4dad3ca3dde44f881972ae6e1acce7", "d79365336115661b0e8dbbcd4b2aa1f504b91af6", "d6cecf6c3e598dce18438dbb063d8c861e7edbf6", "9745a7f38c9bba9d2fd076813fc9ab7a128a3e19", "38a9ca2c49a77b540be52377784b9f734e0417e4", "0830c9b9f207007d5e07f5269ffba003235e4eff", "02dd0af998c3473d85bdd1f77254ebd71e6158c6", "d05513c754966801f26e446db174b7f2595805ba", "233be88c7ce1fbf1c1680643dca7869dc637b379", "24b5ea4e262e22768813e7b6581f60e4ab9a8de7", "8e4808e71c9b9f852dc9558d7ef41566639137f3", "c9424d64b12a4abe0af201e7b641409e182babab", "7b32f18a665162687059adc18f14a5196ea3ba2f", "d9ef1a80738bbdd35655c320761f95ee609b8f49", "159e792096756b1ec02ec7a980d5ef26b434ff78", "1177977134f6663fff0137f11b81be9c64c1f424", "8d0bc14589dea1f4f88914ffcb57a5c54830f2cc", "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "db227f72bb13a5acca549fab0dc76bce1fb3b948", "fd7b6c77b46420c27725757553fcd1fb24ea29a8", "90221884fe2643b80203991686af78a9da0f9791", "54756f824befa3f0c2af404db0122f5b5bbf16e0", "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "9590b09c34fffda08c8f54faffa379e478f84b04", "4c6886c489e93ccab5a1124555a6f3e5b0104464", "2d84c0d96332bb4fbd8acced98e726aabbf15591", "5594beb2b314f5433bd7581f64bdbc58f2933dc4", "4c8e5fc0877d066516bb63e6c31eb1b8b5f967eb", "5a8ca0cfad32f04449099e2e3f3e3a1c8f6541c0", "75da1df4ed319926c544eefe17ec8d720feef8c0", "1a89f67e8578659e02d3fb94a1c258a80fde8993", "19ddb005ddfbdec5109f6fd0672b38d6079753b1", "f3a4599d501717db1714140a0425971ef4f330ff", "06384163c07afffc91a890116d42fb1c1a97dbd9", "511fad07b943f088e487ea09ffc6c89114bb3c3e", "dd41010faa2c848729bc79614f1846a2267f1904", "93e056d9aa4ff18408a1bf2d027cd841bc1d2f06", "61db7d306bde0622685450ca38d26da33e00d3b1", "86b69b3718b9350c9d2008880ce88cd035828432", "4377b03bbee1f2cf99950019a8d4111f8de9c34a", "f9d4b04b323eebcbc996d379f764fc10c96f65e4", "91d3850bdf35f40b7a0738073727b60fd26beac4", "f4746bd863991c55a1139982c15d9e49a5f9e905", "104ff622ccd51419cbddf9636f7794987be04495", "3899b49ca98a134fb9d33feab458f2092da32096", "6ab5c128fa94c833a77ae3b3b71c3f06b733c5b8", "de9ddf5719e14fd49d0ed4686d040c7445147129", "c2c20d0826836a80adf0124a4a4c66f9b3eb0be1", "6b3ae3e8e1107ae8017966eb4c2abed518451448", "f8703ae50ef94cfb59c74e772f2a804dcf6e051f", "0916866570527b609566404ab80ae066cbd3ca7c", "14d4c019c3eac3c3fa888cb8c184f31457eced02", "e71ff84c4527a6ed48e37094a82fb87fad530ea7", "5d32b19bf1c250c811ba56c37e87b8acda27aef1", "f8f57790f190cc7fbbb7d5fdbbf7545e11e91b67", "ce114dd0b87b68bfb30b73e2b0957e3dd4856a02", "a533ce73fe37e304bf47218a4acb817402086674", "765c7f68514764451da690bd78693e94b7016277", "c8918361d5e636143d07868ad750d34d1c7d5578", "ec01797ccac5918cfc798cbe0492645daa60192d", "c8702464d571e04eb5bd2ad75a6c36c8d1605e2c", "d1764e7cc0786d96bdf64ae51f82a9995333a737", "5cfe03c5a0518fe554f4c6709bbee8fa1f3ed0e8", "dd656e5f21003a33b10eb3574a093774a7081d46", "919a0935d8d127aa5cea44327fc8f47f9724e5d9", "5a1255d65e8309131638b3eb94aad5c52ab3629a", "70559a849659ac9fa2d4799f9199a804a80fc49a", "761304bbd259a9e419a2518193e1ff1face9fd2d", "08e674eb16f7c9951c6d480fdbc22b2ad476c978", "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "e98a30293a80976aa79259d8cae2d06d43f0918e", "805b937fd715dc9e9bc2e9f06b6144b24d74e221", "068e70cfd3d5935870c8ce82be412dda5bcd4228", "4bf0f8fcc904e7b51a6adb15cd60d4edd950b859", "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "ab2c07c9867243fad2d66fa6aeabfb780433f319", "893c0067d984510aa2840ba1da23dc89988f32f5", "ab83283cb2d59c4694cea1cb964351c441fed675", "5a7525a6ceb754ce4ed28d8f323c6e52e276bba7", "d5bdd93bbaf01b1430b78893f94314642b55495d", "eda210fed70dce6e1888a2c4c154bd41a265fb86", "15896a568689dfb0a21472682c903b78737387dd", "4ddd55a9f103001da8dc24d123d9223dbb67f884", "8e8a6623b4abd2452779c43f3c2085488dfcb323", "ec3d4d00a569c98b45786d50c7bd2f25bf0a6b74", "4700f5954dd9873fbe5b88a7629b71074a95b3c6", "d0fe28afd4b2ab64cf84346ac5d75d5fe6788e4e", "ef5c7e79f3157af726b118316752fded48f2eba3", "0af4b7b0cc01fbdae6ba973ed0ae420708d3b051", "1c46a33da36d47356cd9189a41c55ac9f5d34847", "30861d747c87e2e838c1c30eed334b17cc93cdb6", "aef6f6ee3f062285247b078386a49604749a7a02", "9bbaaf095eadd40e3b0f261edf483ad1ae4f3137", "66305f1b826082ddea107e126b5c3468fa5f962e", "d0ea54f1a97a1922c679f88c6167328da472a259", "65e68384a832282d5e894a3d1e62127475b68754", "9e09c86543d4b9207ce6216775d7e094d9046120", "b7c5f885114186284c51e863b58292583047a8b4", "aac101dd321e6d2199d8c0b48c543b541c181b66", "a2afcabf3b3f4bbbb84c972bdf10f061350334db", "e7436b8e68bb7139b823a7572af3decd96241e78", "10fc3d49c840329db0d2f6d83ab5f2b0bc058a4e", "cbcdb9a0d1bd8481caedaf1872763547e062b5c9", "94edf9873c51999a109ff544fb034047708dbb35", "1add90a3b956011e1503a6d4bdbf41842299bb99", "327cc4424139f882b9f0fb839f50c8e18704f482", "cead57f2f7f7b733f4524c4b5a7ba7f271749b5f", "47294b53e0af2be666867e914b8788a73feb3753", "31609bc244cc8ed3d78af93ab615eeb9ee4d2501", "3e55a750f1fc64ae25cc510beb7aaa8fa4e009d3", "20b5a959cc924c2f9496f45504ce8c1a71727520", "8518933a8e23833326011b3993af0335f4c83c49", "37f25732397864b739714aac001ea1574d813b0d", "20a4a71d779c85614051415675695b4e8d4a9191", "9467791cf63d3c8bf6e92c1786c91c9cf86ba256", "de40c5b69c7d3dbb919e89b34c821afc44975278", "4c7470fe759b83a104fb6be5190877e96787ed96", "74728b77598b0d7d632ef3631cfa6688dc7f864c", "85db5cd1f6eb2d36256795210331667af56355ec", "ed575e997ebb5df75e1bea804dda4b7bc96f9c9f", "3ab1241b8839648c2ee13d0b9861946dc4e48a87", "8534eea03b25a3cb03f800c149b6e5f2608481a7", "740e095a65524d569244947f6eea3aefa3cca526", "e21d96a85df0d2d8cd685316efa216b61a0e1ba8", "41ad3d007a217890baef80c9b18fa45d2c82c0e2", "becc891a7548fe38a15b224e2592d97dd0efe31e", "3148c8814f659e922a045869dd6dda250b34f946", "124a259d81a06cbad1f8d935f98ec6d45e296ff6", "8dfd4f3b96d7018b75a215dadc0cabd2d1d328ea", "ffad55bd69728976e6a532e75b92f62a0e78d29b", "a7dfe697959ae8b15eb795d4692a52c2a5856d88", "53d3738e867cae5f19f2bd9bb96d0d06eb0362b0", "7f2f69e38fae79011f93d06b0ae5c0f15eab659c", "076b643d92703de0c7786de2b08cca7fdf714663", "520e4b21302b99e5f289075541f9fe4959a639a4", "9a1967db627dfbc3f3519970d403c57be0e90ea2", "3ff0edfd84edd9ee42fa64511c7ddd7ae5716c09", "fe9b0accf0e7d3821bc5d7d62937499a441633c9", "7ace44190729927e5cb0dd5d363fcae966fe13f7", "138625d22b594a9301fd5d4e94b1357e0cd24a50", "c3231c32839b8317530f4624f8b2b028cb02ff5a", "a059f480770e613593cc8be8eb779a96074672f6", "3fffeda70f3d1a798ff5f1dbfcf5ecb30eaa5c4e", "287afb29b5aef6255a5882418b87e6b41cc9b29d", "f3ff9544d117dcdb001c07dfe37c4ad46d4a23d9", "06830abc752757837883b4950160bba167a90cdf", "36d14d9f241790aed0097b53232901811ebf90bc", "9a49c7d584359bb444a81bcca55b03eb6b944c4c", "7c70697c3db90adca733a4e36cd5e1d603551da4", "b380d7cd4bd8087a2b106233ddaa86a341f0d0bf", "3490683560ca18d19884949dccca0ad7c98d4749", "286c1e0b34ee6d40706ca6a02604420a192204e7", "233053b5962d4001adc7616c07616d1b43048a7f", "ff7de2ea4d21e7d32d7f07e07fd278bebf6b5d66", "0376e3273d2c7bf2af53fbf5904c70bdb56383d1", "62e698f4d2c9c70f51012bb3a4940783d9e01cc6", "f049ea3ca734c217c380a1802d15a6d85378f55d", "f6dd24709765025f6b2de1106995843624e149a8", "09396d72f2f8f82794fd6a2a36d173c86a56904c", "c2021ac068c23ba6a5360312fbfa0c0d2cfb47fd", "07faa38d4d0e9d14d72bd049362efa83fae78ee3", "755d1f600b493136b71e8b7fec9b7d4c6af7bf21", "6ddc0558a2e0f97b36e6af2e3f3858ba184cd257", "fa3ae082e585e131e83b5ce934c6549d6a056205", "2f0d5cd2d25ea2f3add0139cf4b61f358435bab8", "12c2f7cee1f6abff0d4de9b4b90caa3b5c6084a0", "b8d5d2e4ad3c20657b7769391e0cd0bb47ba568d", "cc4a2cab31ed06d0d8723df0bdf8cd0ece71bbe9", "af1eab707e690e73a5b9073ed07a0436fd4e0b66", "1d1ffd3a372e9470c43ff785436165940276212b", "6fb3c2dc0facf6240618f33cd851053d192b6f8d", "8af0af4545078d5b92a40cf7c2e95113496babce", "2ca761938bd789b82d1a4ca85e7b8d5661093660", "f9c563ec6c8238aaf420327bd7f9d8fbf8de3bce", "07a17771ca169bc01deb8f7dac1ff0c574ddc512", "976103822fbb72e71aa2b528ec67915a7b151688", "ae88ee0fe6064617422ee00cd452c0c8d8aa1ba9", "024627662bc96e4df09bd2617e5258cc823d2d38", "55d9b72b2110e3a0a6fd7b002eee17945280ba15", "84676c330e4f8962703ca531db761c96bfda8067", "a92b0dfcf17686a8048fb286c6ecf2417243a3ad", "11a2f0c7bdc78bcf149bae0a07ded2aa0ce33ab5", "6e4f07882d417a76fd7f25d89e848f944c3b3c3e", "e58a1ec612091abf014bb48481def84f1b397939", "578117ff493d691166fefc52fd61bad70d8752a9", "852c48452295e48945779491e9f6b076c66d7eee", "5bd84335e169e3c019eaf4dab64721e5b32b3870", "89f5eade7955507ea033770d92b995a6c48627c3", "9ecddc8c91c2263607aae9dba7d3bc05e75cc219", "b099df0a0c5abeff5586a1389e9278613e6c0c64", "de623c6bdd097990077fc221f841221890e9bdd5", "ff65a723ff70e92b543548288ed7f77a8b0a8f6e", "a41c607603b1191d3bf95366b2e3e2eed8d9b0a3", "dd688b5e438f0b6bcd7121de03e518559516a306", "9989ad33b64accea8042e386ff3f1216386ba7f1", "ce9b24f272b15b37d69b61ec8ecb3210ca6047e7", "37586efdc0d56b1179aee3059bc18c84483e3bb9", "fa641327dc5873276f0af453a2caa1634c16f143", "8036bc816101ac5c000dab700d2108b907d832d8", "1b0cc9f0ffd8df93c8006da9c525ca9b84fb1211", "3a5cde0caa9cfc7b6f3c04ebc3d798e7e73e216d", "a13a27e65c88b6cb4a414fd4f6bca780751a59db", "d35f6b9e29eac5d5249143685075a9ec2036e2bb", "0ece525c9d350910c8cbbf8928de357a310f4f7a", "05469df372a567dcef62b7ba447685fd5a5efb80", "c370f762968f6379c2cda1e18e71334494aa3b72", "1bf570bd40b3adced1e47dbcceffe50573f81845", "0cdd98adf48018dba1a92e8a270a61b8d5739c42", "7ce9e79cb63e33faa3be0c534664076e420dd7a1", "4e19917a786c611ffdecd171fae37183ad55ad49", "34fd227f4fdbc7fe028cc1f7d92cb59204333718", "5cd3a766c46423dbfa7c190a16412374e9cb700a", "5588b6b8dc57e8cd63528087b103d6dc00a86d98", "5bb92336195e51ec1b22e5e67a0aaf2964df2513", "7d40e7e5c01bd551edf65902386401e1b8b8014b", "56359d2b4508cc267d185c1d6d310a1c4c2cc8c2", "0252256fa23eceb54d9eea50c9fb5c775338d9ea", "919b1f80f818c2c1710a674536d4957890bbfd82", "e706d1e5aa444798fea933b399a0079f7bb63572", "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "32ebb099598dd8224c00628a715cdd9acf3518a7", "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "73d23c0e81c39b25cc43521a8f2697912d6cff94", "fbd50cb8b107a998fb1c2de0757318b3f2e89b02", "b161f4e6ebb2260deeacf3d05de5bd70c811e66d", "61c74509af666f062c906da767221cf5a25c3c84", "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "8dc52b993715356f35e59b7541f52f2c76466168", "0ead390b8edbda1653834c77d547fd35bd2ee8f5", "0a84cb949a12c619c6558f1a267710e9a7b71726", "266ef6c6f1679d7666621fc1589dd18f9029f143", "1d5aad4f7fae6d414ffb212cec1f7ac876de48bf", "15f70a0ad8903017250927595ae2096d8b263090", "cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3", "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "6c6bc06b7df4bf363838bfa2bacc79e0bb5cf0b9", "d4180d19ce7d6d9574d43bec320915d6562a9dc5", "f1d6da83dcf71eda45a56a86c5ae13e7f45a8536", "095be7eaf5429ab08d02a9e05f52f5bb81bcd838", "9ceea7b5de9b8f086d46ff1c932d188a9b59e769", "17768efd76a681902a33994da4d3163262bf657f", "75858dbee2c248a60741fbc64dcad4f8b63d51cb", "c03ce09b419b6a15c1228e344a900d8c54bddc78", "b1c3ad30acfa909d817c60a6556f6d362d6d15bb", "12948518bb457d0d302bbf00160f4165ce089b9b", "7a982ca3fdf740874db2bb4cd04041a014b5d374", "89f091ccbf2a428c5cee5339c4dadb310d6dab03", "0166abc36d196b9c434a30fc5cdaf82c429ef852", "26d4711763df78580adbe7c775f80b2240cc6af3", "a2c08d63682b348a9848a77f9b97378a37a6b447", "fddce785ccc3bc5534e2ad00c55e9d07cd92c6ec", "59d492a80f190a71a3ed99fe03c50987cc278249", "9af9a88c60d9e4b53e759823c439fc590a4b5bc5", "7dde459312522985c85c03f6b2dd16c9da5ccf74", "519a31e8430c953b5c9767b5537c765ec1a26491", "162ea969d1929ed180cc6de9f0bf116993ff6e06", "bd0000fc37cecf32798aaae2c9571b010bbb52f6", "6412d8bbcc01f595a2982d6141e4b93e7e982d0f", "77869f274d4be4d4b4c438dbe7dff4baed521bd8", "c32e8eaf0ae9122a6df3e44118166bfd3f1bab88", "64e205799096448a50ddee218bcd3b81ff342cba", "7171b46d233810df57eaba44ccd8eabd0ad1f53a", "a34d75da87525d1192bda240b7675349ee85c123", "d9e66b877b277d73f8876f537206395e71f58269", "f20e0eefd007bc310d2a753ba526d33a8aba812c", "d90367a57012edb08c4a23e376955197439120a4", "04f9dc91232c705a09ce69f588bd4cc0507ccf8f", "9c38986568db937527c3a6c8d847c317136eac74", "e1a977d97cc108afc9d6811d9bdcff3e8f39846c", "ae87400ac2b1f1d11b2a9cc1b5bf2a2a155fbba6", "58cb6677b77d5a79fc5b8058829693ca30b36ac5", "169d37965bfb8ac1c1dcd502ab401c6cd0622251", "9b8d73e83c111268745311e03f0c0f7f6c92c9f0", "f080cca9bbe998ed13d42f20c316b50b037e3f35", "d360968cbcca774bf0b70bb0f3fc870aea121924", "171a4ef673e40d09d7091082c7fd23b3758fc3c2", "6f4ec006b6b9da4982169adea2914aa3d14ee753", "7ba4d54a9862f0c4c4bb2095616fc1b4e3dae923", "19ee4fb382e9a5042652abe8206a4f2b9e420bd1", "0c87bd0eeb5c3928174dd17c1cb08c42516f8c81", "460852dc965390d116e05e2dc28681a9abe08f2d", "67484723e0c2cbeb936b2e863710385bdc7d5368", "8cce8fe25effa5c9451e2496b4659ec0f8eccf1c", "7f44973b8cb78be47d55d335f40a54aa00ef814c", "831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9", "5f40693c44b56fca1b94dfd3bc97b6d7be1b61d5", "7ccc0f8748e499a4131f0f0ba94cc7d79c3f5cb6", "946017d5f11aa582854ac4c0e0f1b18b06127ef1", "bd8b25a4f16a46f81e6a07cf305650f17dbb5020", "4e83b9cfd19b7963e2044916821d7a09bbd1574d", "4881f6c1d0aaf019fc793088b60d8edd787002b9", "c8e438dbfbd6c2d04a3b4df2fb6796e6d279290e", "1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d", "831d661d657d97a07894da8639a048c430c5536d", "39075ff687908133c2f0fa9a578db421b4f3805a", "e5a1b8c7f496900451014619387b429659faaf9c", "22563bae7ffb1a4e3ae334a9d5d7211edc598a64", "276282d6e7b617833f8b96c3fba65856ccbeae73", "29e5eb3bff4c198072048bf76c7b62694110bada", "20af3b2a011eabfdc3021a5e78995c5ce592575c", "49bcb014810ff50edefb20eb1411e8cb3c132b99", "78250b9481690aeb2f558e69c9e782dad2bf90e3", "23fd82c04852b74d655015ff0876e6c5defc6e61", "603e4f77ca4b16c0e66cbd1759abbeb059abef41", "7fcd03407c084023606c901e8933746b80d2ad57", "6a3c6f6325eb388a8fa2580a8f1953f6e557e078", "16d8304a1d8a5cb2288a5af90a09fd09d8b7ae09", "0a0813a013ef75ec70d0394bb8795f4d37cd6ff1", "07d3dddb363870cfd980ca8d748c8b1418aad863", "7b0b0e556a91057ce38a731de247e6a98ee65a2d", "62b26c5fd8279bc0e7ec58ad18d4b65d6203da0d", "f0b954b464ee9ddb24b90108654eab24f136880f", "ff351ecd5d3a9243177d0dcb73de29534f4fde57", "9cf5a6270e3339667ea3bda11268b554c953edaf", "9d104ac719107af754a52fe7b8c8085a64cd2618", "89c57aab49ceb3c2b939e61f44ecc93257b3ce1b", "388b345e4d9e306e7072d0d2604fcc385d32acf4", "1a86eb42952412ee02e3f6da06f874f1946eff6b", "b465e173b81337dde5a0800753e34a40e4352d38", "9dc91a889b6f6383681b768ce4f6fecf40e7d471", "0081e2188c8f34fcea3e23c49fb3e17883b33551", "9912e5b1b72fbc14a682de397fabaec1bd1d4028", "b0a0a793e9bfe31d4d8bbf926369488bf0a97bc2", "69c2ac04693d53251500557316c854a625af84ee", "caa7953cf5480fbdb464ff37f24f7cf9fddd27b0", "daf30e6709631aba291e8084fad853db325594e8", "e8f4ded98f5955aad114f55e7aca6b540599236b", "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "daa96d16117775de67cc1cf2f1d57922126e1a6d", "dd355e437cce079f6aa7080462cc377c110d8849", "a90d1f132d900985e0a01490345303b31e606f6e", "ee8d2256ac99799677a5bd88bb1a12973bd245df", "43e63603a5794c4e289d1f41d7079ed9620a355e", "084a05504ca15cba604b1e770913294c72ced2cb", "5951e9e13ff99f97f301a336f24a14d80459c659", "6c5ce8bf382948bb27a9cc33b700a2402877bb64", "b416921155c1687ca07beb23f167e5ac267c5616", "54204e28af73c7aca073835a14afcc5d8f52a515", "1e07500b00fcd0f65cf30a11f9023f74fe8ce65c", "3163d481923cc75d53c2ca940e23a07e7c85069c", "5ea62e97113c243ebaece2fbb975471c8649aa62", "7a5b09559d210d90a125b4d451271fe07924b992", "7026aa20d83800aff72f2e13d02770d1e42acd2d", "50188f3b8d63e196af9ad156e8ff127e060d0aef", "e20e2db743e8db1ff61279f4fda32bf8cf381f8e", "b8084d5e193633462e56f897f3d81b2832b72dff", "9b8d765da5a9e78d911e05ea200dd27cca29601d", "5fd19f4f9a1c809021c2fb6ebc83140c819ebb0c", "af2d30fdb8c611dc5b883b90311d873e336fc534", "1e9ace30e55c57c14f609fa45a459458ed40dd77", "f5ab93e4ec9d0c80ae6c1378e865df2411f19752", "04e5d374c10b70a74d79070103cab1f362b113ba", "5af6201819bc2f57305096404bb220c36bfc5a8d", "434cf041db74868ca625a0c2e11b6c0a5b2ed467", "03ac1c694bc84a27621da6bfe73ea9f7210c6d45", "feea73095b1be0cbae1ad7af8ba2c4fb6f316d35", "25e3fd1074968896fca45be20ca1d678438081fc", "d29eec5e047560627c16803029d2eb8a4e61da75", "08842a7ad102c3ac56e7df270b9afd03685d321c", "adaed4e92c93eb005198e41f87cf079e46050b5a", "4b6ea82fa73d2137c884ad43f7865d88b24ff01d", "add50a7d882eb38e35fe70d11cb40b1f0059c96f", "31bf80c0c36993fda9eeb2cf277aef2723501971", "5c5a9e1c2579dd101fec87c723c747f3eda9dc00", "4e46a254315c10c36f6b1170b85cc708360543f7", "cd6e32b00a53310f90a7138a41b855bf44129637", "06214c4bdf2354b5a1a13958998d79bf46ac53ee", "e72f626074252b7e17ebc48d9fd4a4cd9d231359", "f9f3160404c328364adb1bcd1d61f3796d869bb5", "1f39e264921766c3b1278cae92bcf6289f86ea21", "04ba06e60fce5cb7c882c00d6aaa2c846ba7b67b", "7c8e0f3053e09da6d8f9a1812591a35bccd5c669", "a6051a9ae4e09faa02dcc45c0d34ce3b1c50382b", "4c60a78722404bcbcd9afab4636993e79cf96c72", "8298420666fc817271b52379d3f2a96d8990fcbf", "e3582dffe5f3466cc5bc9d736934306c551ab33c", "205672cd9986044a03483058d9462f52c2cfc543", "92e464a5a67582d5209fa75e3b29de05d82c7c86", "2a19608262e17229d68383922e4fc58a8ad7b902", "0651ea8d9ca9890e8bcb32283c261483f89025ea", "35700f9a635bd3c128ab41718b040a0c28d6361a", "227cef669b362a7756564519be22c7d060348f66", "3b56d4f2591b2e6191d82c8f3e2236c953c42e11", "ecd2b19f25bf5d1143a608575c3def3fdc76fc92", "5288e1e7e914f73bf65c745f328844907226cd3e", "280f3e9f70a966b63f51036a235bd2a0bd6fe8d9", "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "f33d121705e9b7775cf6a8bb1f602f093fc8cf2c", "ee8f04fdc9dc00f5ac24ddd8a894bf1807f44caf", "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "5e236d5cc4399888acfe58a7aae740147474e7b6", "0a3e33acb8dba18641db90cfec2c58c65fad9715", "04cb43806ca57040100b33af0781e4331f8daa56", "f715b29109a1e619136df43979a23edd5b31d41c", "6850628658aafa61d0078b3dcb84f0a72910925a", "8fde6363ee7e0a849f323a40fb2029da74056370", "a9196f0ef06460467836fe09d53737170c612e79", "d2bd59d686c6f6eeecb37b8ac0e5c296ea4f2b13", "ebb3286dd729c2d6c8bfa58c7f159ac76123f079", "53d0cef0b415f0cab8b82e1f62a66f9511ea6eab", "e00d4e4ba25fff3583b180db078ef962bf7d6824", "1707179eda2021a19315af2c4ec2f7ae78595c4d", "0e767d8a88cdeea1a4338817c0e6ea3640ba4232", "6d83c33e917e63a2c1a9f23fdd58f01a95f0c87a", "ee72673c0394d0fff2b3d8372d8a9401867b8e13", "1c5d523512b4b3ccdccd66337b893ee054f03f45", "c9da8cf341ce0dc02cdc765fc350e181d7fb3f53", "a1cda8e30ce35445e4f51b47ab65b775f75c9f18", "3f40c1d8c2fe5d416ffca93049d3f3539fb52079", "e179dee700ff26df6da3cf0cb5e0358b2080acd8", "7a7a04a02e807d7c9cb90ab8442ac428904d2415", "cae41c3d5508f57421faf672ee1bea0da4be66e0", "91495c689e6e614247495c3f322d400d8098de43", "fe9b4efdf5ebba7865f920b4b94409047fc98ca3", "24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9", "596d530cd19e1caca2084a672b9c2a92e27e89a8", "3f540faf85e1f8de6ce04fb37e556700b67e4ad3", "1aa61dd85d3a5a2fe819cba21192ec4471c08628", "d557ee62524958761bd6f472655f9950557c6212", "01f21ad0eccdbb56dd60c397a27415b9f33d5ec3", "438c4b320b9a94a939af21061b4502f4a86960e3", "41951953579a0e3620f0235e5fcb80b930e6eee3", "85956f6431543d1bf62bb5d5143de4348f14a95c", "d7453fa0c70a15681e76b509fff6e1dd49f5a4a5", "529a044e1d54e5b97085b67c740709485b60bec5", "cf34bda14a2f6148f330213e0ec0dbfe3062c959", "9710ad1ec252ef59c988cd7555bcc1be6ef88ed9", "b9081c87ba2645d56f2f6e3cf7b46af1816d7616", "2d92eac985bd87556a414f7bd007d98af8a03924", "f9988dda860bde31ca0309c08355638c759e7281", "ca7f7f77a190b98b2e7173f64727de5a287059e2", "e60e287fa181eace7e716ccadcb12cef85ab11d6", "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "1846ac363068d2db9433fae60a65dc6ee92c2c23", "59f65b2a3a50b64193ee09dac29137cdd8dc6688", "59824fe429655a2bea2aa0af6258f64107cc7141", "15ef65fd68d61f3d47326e358c446b0f054f093a", "82006f2cdf0929f804785ad176ef3f8e7fbbfd3c", "ab87ab1cf522995510561cd9f494223704f1de91", "ad3b3d00d3601190dd04155d69c343fb03bfe704", "8458efc65d0b2ef9b23c0f4f2a41f206fcaa787c", "c590af8c6b2e352c20110152bfe18d5cfa568656", "19e3f57055f952e3fd277a742fa15650335e76fd", "82654a18289d3f931fc455c3714b54c8062ff521", "cdef0eaff4a3c168290d238999fc066ebc3a93e8", "2604aa10fee1900451fe0ddd115c413b0204d1df", "bd5ea34000675be41f3fdc5d57ec2152ccd37fa5", "046a694bbb3669f2ff705c6c706ca3af95db798c", "0aa74a922604e200fb92194301d4a4786cc1a74c", "ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab", "f79b017f92a290c7b37835fb0990eb4cbe592289", "7f04b65f2c6f96c7ce000f537fb691a93f61db52", "ef3eb3b3e2285e964b385c015caa0f8a24057f0e", "20e504782951e0c2979d9aec88c76334f7505393", "0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e", "6f206b46c26b70b3be0b1e89b1d4b6518b601005", "610c62bd933c82b609555692ca7f8e9b77934034", "b72eebffe697008048781ab7b768e0c96e52236a", "5c2a4e1db32a6afeb294920de1999210bf1bcc6d", "710b7a0c45ca6ba84768025ed1a02804a9530ea9", "5daebafa2b440e63f688fb64780a69e7256612a6", "0be764800507d2e683b3fb6576086e37e56059d1", "f04a3495b4d6caf6ead8a39a2b526b61f411ebd0", "b4c60fe73d1e788ebe0e24b0c8989e4fda110ac5", "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "5056a117ca092825053c517a2a52b21ccbffa949", "c3b8a2f4c6ddcf90df1a33e5245dd5c14687a4fd", "9c336a20b0c4949b180f12a14588dffaa527cb34", "af9419f2155785961a5c16315c70b8228435d5f8", "298a10dd069404f8846b5f82f46441385e7e4486", "1fcdc113a5df2f45a1f4b3249c041d942a3a730b", "bc220d15a0f079e1ba2533494b04a8c40e8eb73c", "7959218f3beadbb058844552874547520799a3f9", "4f53f80cc0d11beb3a086b98ba8ebaed6ec688de", "d822a13d173db2c5244b7f7d31babb513143f5a9", "a7da28249072b4983d40aff532c1ad5986cc5f80", "80e0c604cdae5a9775cff69be8f4c1ad64aa16dd", "c6608fdd919f2bc4f8d7412bab287527dcbcf505", "fdaf65b314faee97220162980e76dbc8f32db9d6", "1280b35e4a20036fcfd82ee09f45a3fca190276f", "ebf877db5fb6aadbc09d74325f4f9d29a192018a", "ec33350d7c4dd7a3b35bf6d7cf799af4ac1796a0", "7c4022dd2525882a0f7ba0d60db1c6290d5a9aa8", "2f04bfc847d5fbb9be47e3297881c9266cbb8ff6", "617a1c049c01f0f5ef14274741caf273fbb3d084", "c7a9a6f421c7ee9390150aa0b48e6a35761e1cd6", "ee65cee5151928c63d3ef36fcbb582fabb2b6d2c", "7a2b3eed5eeecf0b442d56b93dfda8cb88c10bf7", "1fb1f74bbea8d2b3bf5a4c2834f4774daf6398c8", "c68ec931585847b37cde9f910f40b2091a662e83", "1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1", "cc5d9fc3f20037d4822bacd6898e761e7aa37dc2", "b382bfdc57e0376fd4e4c598e03e42459aa0f24e", "cf112556c47c6959fc5760877e794b2862f2f3e6", "a8748a79e8d37e395354ba7a8b3038468cb37e1f", "a93c8d104996f73f5a00ea27a170775cc08ace6f", "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "bb8c5cff40479da65eb62b93bb11e6cda8efab14", "764ccd05bbdc944411c98430e4637041ec79e674", "f3c01802d226a228df623d3bc289333f05bf55d3", "09f58353e48780c707cf24a0074e4d353da18934", "19dba5d36b145739651594ae74d6cc4dce91aa08", "9be94fa0330dd493f127d51e4ef7f9fd64613cfc", "52e896bb4e1b7051131203a4861d4b1f172a2eb7", "4391c43a59a9761c9c5465005399537b0695b916", "7903bccf6f98436f4916419e5450d1bb890876ea", "38f294ae53862f98a3e34818c1e86f689dc8723e", "e4a5babdcb76a7f6c8de336ca352b74ed167ab73", "571b83f7fc01163383e6ca6a9791aea79cafa7dd", "7e242d08aea74eaf71bba3981ea778f834891540", "a29fba978756a928dd6373a615c516fbc5d337b4", "d3a1322c988b50049986365c27dcfce42828d2ca", "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "e44dad288724b068fabfdc7967dd9fe0579f5251", "e9abb5213189190df98530df4771a95b8fc0fd96", "bd53d3249cae4606e06999ee62f53bba6c4494d9", "e20469c66f44e6e18eccc722ef3f74a630d102df", "3b557c4fd6775afc80c2cf7c8b16edde125b270e", "31f905d40a4ac3c16c91d5be8427762fa91277f1", "fb662d021f05236c8ff2bea3be901cd25251487c", "b6d794f73ef7f2a6ffb4738a7dee334f512046bf", "d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e", "57283eea328099f878978ebcb382b06d9c6c20de", "8a02a0517b841b53fba478a851948b86869a0582", "ae32279ce2828286a40800045b2d9f3b53bebb8c", "74c65396b82c2a796bd023e97cfedf058e9a1b83", "9d0edb19cd5615e3a7bf5e9b7c1628dd5ddf633b", "10554bc4fb045d303abee266bc2c548dae5e187d", "9590ba45a42e7fdeec4e8ebcda69e80f11b9c1e6", "0344fb9ed0cdffe7619c3da46fdb93810d6f0263", "8e9ff8224753b22e3b1f8bbe271382d6fdb8ddfa", "a53d13b9110cddb2a5f38b9d7ed69d328e3c6db9", "357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1", "69459d54693772ce7b007498c87fdb1c84ceea19", "4db0968270f4e7b3fa73e41c50d13d48e20687be", "f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b", "09fa54f1ab7aaa83124d2415bfc6eb51e4b1f081", "d7312149a6b773d1d97c0c2b847609c07b5255ec", "0cb5079c39933bd8897fde7edecf156ff57830d7", "9f238d529465e89b50b160dfb1e03e6eda1c7a6b", "e5961e65169098351571e0828b46e3f8558a9faa", "eed1dd2a5959647896e73d129272cb7c3a2e145c", "8a84fd21ffe7acfa207439d2e30ed15e491b1991", "64d7e62f46813b5ad08289aed5dc4825d7ec5cff", "8be57cdad86fdf8c8290df4ca3149592f3c46dd3", "d27aacffa8671336ddd43dfb7c1c37ead2b71ff3", "c4526ecac44a90ef76f907527d2ab0860ccfb594", "67bff02582bb47b59e118a1d07acbe1339f3d2c8", "37a1c00a1f5b78eac269ed335c6610b91c4be76c", "43892e316c4a009c71282dcf5b11e1d13691bb39", "d3424761e06a8f5f3c1f042f1f1163a469872129", "bf514f38c6549700fd51355bdc6b86ff4707d4dd", "54801c260df5221a9de533d371d3edcc358b4050", "6dc6ced91e73ff5c762d66633917c5b155091218", "bcb1540377ac162df5dd1b9206cc7550dd7954f8", "3a2fed81b9ede781a2bb8c8db949a2edcec21aa8", "6374e5307c699da00875a858134653c16d5fd035", "6d27648c1261648b27f2fd725d4cdc0c7e1066d2", "6b3b17ad210dec82f2bbf3affa7d13eed8b9a2fb", "67d5508940bc3ed468a14632e386970265a05d0f", "9beac041302100493681cb8ce82eb4383f48f603", "84f8c5a8f3ccac8d0021f9d54e4388a9870e27a6", "6bf4f5f6f1fc30e7886812cc352ce6c2c95ae6e9", "4ad8b29c5cd59283c3ab8122e315d4784f85e388", "8d1b6718d8ac82975a9a0739f4b024b363dfb729", "c70a372ed2f95d29b8af28ddb8c1b9e7a853ea3c", "b5d7b226b2b3c894126cbdade1dcb071f3ba0c49", "a4dd2ff517ae61d7f39ec176915d8da5cafe8323", "5e0cdf7d0edee84ab0efb9cbcb9487dac154f747", "d1a9ce4a250ede36ff1bfae090a905e7795f0e26", "4c83e1be7c025dafbd009577977baccae2b29727", "6ecbe9b4af1d68f1eff7305e17ec798129b76793", "fca14b3ad0efa7bdc6ab7c1f1d58016d2be634dc", "33891ca0f8fab0eab503f4b4bcee009a1cf3b880", "5a0c75bef21432510d80555a3bafb285ead5a7eb", "f64fb2e5cfa86fe68e9c239557f440c412d02274", "6c0f0064afd2ce0a0a231b80de611ca34e208222", "26d52680d610a2a19483e5fe9bb1421cc26207e6", "bb9c9020d4139eb7961c209eaf9776fa09af31a6", "07b3a07afe3753083b4d22285fc0d4176f26d912", "0c7bd0820f68b64f0a78e926d1b5abf9df31da41", "650723ebe716b6c2c4de2d10985caf75a07cddbf", "d21c57a5a7ae2e5e2d8c59050f4f0b693b222341", "9cda3e56cec21bd8f91f7acfcefc04ac10973966", "252ea831fbc092b95ae464bce2476619aaf02d01", "05ad1b2d94e25b14ab026abd09f59fe65d1586a8", "4d4dbae1dfb0a79a52df7f06cb1442f71068ce42", "148126a62db13a2ceb2ad38d0c0a95e609bd59fc", "5345822a30293c9989fd1ec19b5a2da96956347b", "9c431d325f8a889ab19350cc71f89030107f7301", "0ad545407966e1630b5e51ad8f7dbd2780de966e", "fd41689c7e828badc861a31782b9a0902eac055d", "6bdca1b4ae169686da39d6f0e3ba70b3d39e0cbc", "2b1a7d4aee670b1df3ef9acc2c77940679666601", "80510c47d7fad872b18d865f3957568dc512780c", "201f53da0a5e177b2a86de4c8c4e33ae7bcdf001", "7b2e083302f7ef8e93a3f83a2ffc0c366a743cba", "241ec10eff020b14834ba5e5ca49675931dfb971", "6821113166b030d2123c3cd793dd63d2c909a110", "0ae6b023b599a17cf32b83606a9565c3ad539ecf", "51628cc779c6ccf8061aa77a18eed5c495515bcd", "e8ff0d5d75221feba7f1aba066b2d596b7e7685b", "5f9e6f2f84a6a9a64b1d5868e2782b4bae82b567", "c7efe52121f526791f5b414d60aa3e97bc058aef", "c7873037228a009917085556c514a90f9817cb08", "416c3781d02efa590e76dbf4ccb88ca1fd7b4de1", "d259d3652f03c7b80e29c986e9540ab00b1f1133", "fa9f1b236d0a252d4a56e26e8a9a41d496803413", "9fd77ac4fae2df8468f22549985cfb53ed517cc9", "1f27f9c0da385080f05f8cfaf0771e5aee6d9ab2", "485f42b9bf3c5b63b52c34f7f3069a685b355a5d", "5428c21579fe82c822e5b0af86ab2dc4b826e6b7", "e3660a13fcd75cf876a6ce355c2c1a578cfb57cb", "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "5bb14bba7510c590164007d7e3aa1bf88cb3faec", "9a9af8a5b6939a1da9936608fbf071f852eca7e1", "afd29ac2de84c8a6d48232477be018ec57d6f564", "9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa", "3c84e2ed018dd1d971b526f87e9d7c1f08e6230f", "589b1677d6de28c47693c5816c32698860c32d10", "2f910e4a72a2fea67ea6c83f36c7017fe26ca9a8", "069cadd9d8e52ad2715a3551012a06e506191626", "30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21", "2603d8578a6c95a9b9d4cb8a73bc66f18d523f37", "5ec650d4506ac2bb066760420ee8185c93dbb2c1", "24e6a28c133b7539a57896393a79d43dba46e0f6", "2594bf77a1fef68d86be74a2cb79c55499cb2bec", "95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5", "10114df7ddbb221337cc1e99e1de0eab8e47c95d", "616d3adb73ac0d8ba83d9ae4ed74c48e38e0f4e2", "60e065dbb795cc0d76ec187116eb87d1f42b5485", "b4a3f480e2004bdc8106de2f772283101bb290d0", "a04caf5898d01972e28a38faed9a2eeae78cf21e", "e255ca660def135eb6ac99127d08df032876d8ab", "821fb8b05108b7ce5312bc5cac3b0e5d56e279ab", "447848afc79a7f78be49450cd330bfdaabdd64d3", "b38b621bd21813b33abb11ef2ffb51af3791b73a", "54c5e9cded7da1f9dc695f5397d9d1a5ac5350af", "167ef72a08832f02e0bb4bb60b61b44adca4f804", "7cd5d7f8295b219b029a4231ae5cffb261e00ebe", "3ba5aa0995f129d2854d9690adb6d982bba4e675", "0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4", "9b976f7bfa636d89510fe5ad7fb7a8057b86a57f", "1c0f3a0fe2369e5357728ff81b6812e952f6337d", "51b1d708bdb758de8ce217c51992f794c70abe95", "862f19f8317971fabc46cf0f994f4a8616f17b78", "b0623c1d8493d273d704ba1d0413db0de579ae77", "44347819fd94b20676862181ac4de55a5ca47a0c", "3c71475ac56fe2875de2a61254ea4f8636a1d971", "45269e9746a5bd45b7a329ba1116622dba2e1ac1", "a19a5a604e07c525f9a8969c05f1c9ed5b497053", "0611dae4ae932e0c5f28f08676d234dd9233732f", "02b33c654aa475f400552bf0743d8d2819e2c2bb", "7b6dc0a4feb3c940618f6c011ee1b75089e3b07a", "586bfd960cbdba91eecbb06de994dacd38b9ab0f", "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "6752b59da83c03e64c73f9248a67304713b6efa9", "22f21d58c6aecdb4f57c50fa9eb4952643eec0e9", "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "2eb14814511d93fcd01e81f4f838647eb10af3be", "8e861a7809905a003fffa821574e68ae0c0788e7", "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "b1ffa7a926e129f8dccdd6f258fea034cbee9160", "fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf", "2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0", "66284b8894bab0165c4210cd2df749f0b015c88e", "008d536060dfb10782e889f133551c9b87b2cfa2", "2d919473cf43e2522b2366271b778ce6ce7dc75c", "93498110032a458fddebfae80d7a93991e11673d", "d8f837265fe76e26c99052229c4997fbec20573a", "6aef8eeff5f532dcdad95043ba464720be664ab8", "501e6bed8829f0cf26522a29f647453e8a9f770f", "87e165e00ceb93416d167acf65615433cc1028cf", "9ef9046cc26946acedda3f515d9149a76e19cd6e", "0cf2eecf20cfbcb7f153713479e3206670ea0e9c", "cf18432bb77bf41377c477b5aaab9abd0f1f306c", "13d3b696cdbec99b2fdbb34e9d031bf8c683f112", "3638886772fddb696551970e256ca30fea380369", "c675534be881e59a78a5986b8fb4e649ddd2abbe", "c6fdbdbbbc7642daae22df0b7812e78d0647afb3", "70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3", "98ba5933d7fe9fec0f3b39d7072662007ca6a57e", "203fcd66c043e44fefd783b8f54105f0a577fc25", "5c35ac04260e281141b3aaa7bbb147032c887f0c", "e2b4a1747e66f72baae9929f908ab064a4263f9e", "f16657feb6dd94f2656ea4a1daf0003ac08f0a7c", "0ebc58bb5d517db0111f3565c4eb378d93dad908", "b6259115b819424de53bb92f64cc459dcb649f31", "694b72a84306112bd012073d24716e406ffcd4cf", "2a48dc596c7a2f496169360e819b56a6c8d38e67", "dd888fd4f6d04623a34fc2286ff1e26280c2f0f0", "ec32c8476b5dbf6564bdde991f53cabaf5d6363c", "1049d50487b5e4d891da951028bc8e66eeef3396", "89c7f6a765aec6e7c754063bd723b1313f058948", "40883844c1ceab95cb92498a92bfdf45beaa288e", "0b37ff3bb5e73bc4fd70877b2a39b27debdb83e2", "13831e47759e11f8cc6c77fa64ad34272b409b34", "fab7f1af3d67c7b7cf76ec1d8dfcb265da61a572", "11aa92ecea8674138c375d2bfea3ddc4f5811b45", "bfa7adab82844025960d841159e386e51f9cde52", "cd22375bf1d917b928aee006b65cd92c7bfe0927", "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "f94867160e0885bc397892e4db56fa7ce9ebc83a", "f03a82fd4a039c1b94a0e8719284a777f776fb22", "1c838d356b85d0cc6629896758a60aea4a95f74a", "c286b2539ce1cbc11338409062f0c28a37dbc4c0", "012ace850dfe366ceda69e560863fbefec2bc755", "bb6801a2e7e3f319d6dc72a4ab5b4d16919d074d", "db458242dd526d84579aeee563355ca1a7dea5ea", "3929ff77805bc02993b187a6019dbed4f662d59c", "67751b7ce7f934ffadcf095f4189b31f890e9fdc", "96f0e7416994035c91f4e0dfa40fd45090debfc5", "a5bc960e186391ca0ba0718aec70069abb5134e5", "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "c5973aca863d73673e78d1310e8b21b4ea5aca00", "b68e1fe527cd37e29d87a9540a5d62c5ab067b8a", "e568236493c3606ecd8c576a62540545aed1c170", "bcab55f8bf0623df71623e673c767eed2159f05a", "0f4dfdeca316a5d27d61ab6bcdf907cd44686941", "f49b4ab188dd090367d9f6762473879b2bba16cf", "ab1728e84ac682ca0c53435f712a512ac139e9c8", "23e6e8ab8f62d8f67525313c823e3cb4424ac578", "ea6207e553a5c8a3e171a8f6b6297688ab43f92d", "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "1a31192ac79d0eccef596f93d6170117a0111396", "64e216c128164f56bc91a33c18ab461647384869", "026e96c3c4751e1583bfe78b8c28bdfe854c4988", "f06a104a3ff9999bb9d15cd0e4e3445dd23f7804", "585260468d023ffc95f0e539c3fa87254c28510b", "bf933913d7380b5cb32266d68e75c095ce99eeae", "7c86f71de716a297950dc46f45152e03bfbc475d", "096ef3f0b14e0589e1921d897b492c14fe0fcaf4", "5cbc66ace06eb35a22a3196cc13f75ddb0b7cefa", "f7943ecda36b38725efda73d68b7ea70272451b8", "e83b017eaedfbf19d598799d8a1884c57c634782", "b6d4a28fa7bf237f2c6a305f6ebb8aabf7072b84", "0f9e0eb925b3dbc6a56731710b06716646babc8e", "8a1ed5e23231e86216c9bdd62419c3b05f1e0b4d", "c4da6de4135a67c1c34ca5432224a2e91de71a17", "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "e87d6c284cdd6828dfe7c092087fbd9ff5091ee4", "04221205249bdffd0f155ac68ac477613654aa42", "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "4ec3c7fa51d823a43b3808c7c6baa2e153104bdf", "36f27899a2c11afa000732bc5e82aef560c9426a", "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "49484ace2786445c2181d2f2975ec3ce34f9ed6d", "96eacc464c0177efc4f802f220888c7f675f24af", "11e38512d29d4662abdd44c611d7c44ff9370b05", "555f5ef266335af8189714297ccbcd6ab77d83f2", "2625314d30a8dfaf918e93a8e7b243b2e078d191", "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "e8d8a42d0ee8849bbaf99c52cadeb2f1ebe564b0", "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "00ff024e0800db79a8f7c661b47357fc98e6c0af", "d79fbffd03f3bece0b19fdfe94377ecb611f4ee7", "36a1e5a77998368720d8813724d70538e53ea948", "ffcb92719dcd993dda292ca82d4585950ea22ac9", "30fcfc6b7fe1809d79ea6ce08f50e2e53c203800", "27c495019bae2d7ab5b607e11a47a39cd9f1c519", "f0acbc128407606413df764cfea7350e8842c704", "79dd5743438963d9fe4793f7c27530f2e7c4b20d", "76669f166ddd3fb830dbaacb3daa875cfedc24d9", "d9f6ca3513c4f84ec412f221fda9bc9c340d8bb5", "81d0ab3201fbaef5aff57e9df2c12c7b4f228987", "c81326a1ecb7e71ae38a665779b8d959d3938d1a", "0171c74925a61d5df6732357fce000735bc73bf9", "adfe759046982880d500fc56f915ce2d76687656", "795b76ebf17c559d82ea6976f1749096036d6817", "d2044b92486248f87bafe937779cd2167efe170c", "d7d6f1b1e832bc7f52ed34131e3f200badb601e3", "e83753a708e3bc8072851fe97aa6929515c518ec", "fe60d81f726c8e20948b927b456a94a96d78fa26", "1c2b9e1e6359a12b0163d422a37d46e5feeb9f9d", "430cc88c6c73ab178c0e656b246f8f74d51c3a7f", "f793970c7b57c3470561e9830cebbdd590a38bf4", "1bc5c938b79f23afb9931c99377d6ce7a99bf8fb", "6ce23cf4f440021b7b05aa3c1c2700cc7560b557", "3e9405f88d82f70348317b42828b54718f60dc13", "eff063c99ebed728582a5895e312f660e8fde5f7", "7bb8bfe1c80b6739a6a5dd3db0b8f9f93fbb6e98", "6fa9bae381274518d3972294d81e460f0c63900b", "0d35ab4d59c3731986965dcc935d11074832bc1d", "acc9821b61ea804bd1e0b0e23a45f08fbf760a37", "33737f966cca541d5dbfb72906da2794c692b65b", "8f96a6bf39d91c5cb37316d90b476cd98f447709", "ceaed903eaeaa1a541831e2c70b4b3251de67719", "5ce80b41443518a14d800f6b93b4057bbb007432", "a9b5db2abd37859eada0f35cba857e648ffa7b0e", "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "e3d80c39ed49ce57e6e48c183265db148c0d1901", "85889dd93ee184868f1da5d34dc5722865af9f15", "43dce79cf815b5c7068b1678f6200dabf8f5de31", "5b24ef13fc9a51a9892f164bc142ffefc0b7a8ee", "dd2e69465ecdcd67d5211babb9d1a6754468d174", "8e5804b8dddff600ee7646b8c33bebad4b550b31", "4f863543407143a62e1bb053d435a947886ba619", "debab342dd7bf6980ba5c0ad9fd7d6d3cd691f46", "0cc3de80412455f6095d6ea293fa6ff7fb1eafb8", "8d9445e579837e83099e137f2aa65681ce029697", "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "8fc730d22f33d08be927e5449f359dc15b5c3503", "d46b790d22cb59df87f9486da28386b0f99339d3", "10e0e6f1ec00b20bc78a5453a00c792f1334b016", "084011fe855c3aabb3de1c25174d78082d04a5b7", "c2508af974b8b1fd4ef097ef625e8bfd07474be0", "512b1dfe92ba93e69762a855abb9bbe3eb8ff115", "317553d0c479cb9893b3884c96cfa681c80296a0", "55432723c728a2ce90d817e9e9877ae9fbad6fe5", "fb1627ed224bf7b1e3d80c097316ed7703951df2", "52af93c58257f9275ad948f96e7fcd3b3cd0dd3c", "4747d169a5d6b48febfa111a8b28680159eb3bb2", "9e1a6a63a7646f9654bebf6d5ab516f33cd50b25", "1a8ab75050d1c5a6722d7fa05bebf8fd4edd698d", "68e239671615101ce3db879888a27be64b8ee0e3", "9c9417e7a3c04f6304d3e609ea9ff320bff285e8", "88337c4ca3eeb00538b9a1ac54180d02187c68db", "de95fa1dd69a2d0d2b76539357062062f8b1e7b8", "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "5b4abeb466a2c97a99b9621e0c83c95f4326e99b", "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "3ce2e718ea2782b9fe801e42fc2bd1ac2f35ed9f", "6aa201b23b93dc51939e68bcf12e386d3b459f2d", "f0225fd9e968a022ea6f993c1e44f01716908769", "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "4edc7f27d4512b69be54abfc6b9876e5b00725ab", "1dbcf2181cb9890397c88c7cba20941af9019a20", "5495e224ac7b45b9edc5cfeabbb754d8a40a879b", "cd3c23a0009851b9e0026a1b9e083d0882243ad2", "2a18e025c0c89c2dd94ee92b1e496767de8a3406", "174ef76c12e6426056ff2980bf220964030ed48e", "49a5d855f91c6ec6d1724a200d33e92c41f73480", "41d9719922c81d14f2a39392285c5789f5ea4282", "9a845ce802227a13de16f3e29eebeb3c8817f83b", "4adbf8df68b1e1cb9da45054a12469720361c826", "6187f91f1e53cf6f62afe30e01c7b1ed43505c9e", "a58ba304ca0c37d94c7227feeeffb600a492d902", "c9a91d1200ac7547e49a665e3b2b51426eeae27d", "d2c24fd4b54fdb88e6574da7c42653a94078d58c", "71fd29c2ae9cc9e4f959268674b6b563c06d9480", "a4c9808de4626df6d94053df5497fafecc44c7a2", "f4421adced24d729d5ed22559308c2b4719b44c2", "856bd32ee16cc531bcb1814fbae2f66582e21cc7", "de06dcbe607f583794ce98f85caed4607a366b35", "f879556115284946637992191563849e840789d1", "612075999e82596f3b42a80e6996712cc52880a3", "954eca6c3daf17a081379d51980beb299c803d3a", "6a99becf2ac8b3adf161ae4c453e24a8377e41d1", "e44e8b0e8b041afe4501f199fa8af7610cfd4259", "ba654c84ec5817bd115983fef53c90ca68f880cc", "fcac68ed896610947dd80ed2d96fa3f5e482d903", "e6ca412a05002b51d358c2e3061913c3dab6b810", "82b43bc9213230af9db17322301cbdf81e2ce8cc", "8a26431833b0ea8659ef1d24bff3ac9e56dcfcd0", "6ae47c7793e2f0f684ae07357335c7cf338d66ef", "49df381ea2a1e7f4059346311f1f9f45dd997164", "1dddfa634589e347648e79ae4e261af23553981e", "0400752fe0137e96b1553c62f659362a42cf377e", "129d0e22d6b847c8002fd2c70bb508cdf3286fb8", "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "9e42d44c07fbd800f830b4e83d81bdb9d106ed6b", "d118454b38f3f0d4dd48d7775ea3683708b33325", "c5f71486c16add42c3394edb41b8c064b0123824", "5bf680b6aad2724960453eb73009a0e4aa85ce0a", "b3e5cc26fb8ae57b5e9e6dc161d5ea3c67bcdeab", "a8ff837f67f9fe9e6f562f5de56784b93b4f9dfe", "e9c008d31da38d9eef67a28d2c77cb7daec941fb", "50235c7d6d19c741582f93d00d0a0d980e435be6", "06900e1849e604e9cedc3f4e7bae37932c661349", "db326e6b49121e7f80c802fd2e5b80a482c955df", "cc70f4af018de5e5bdc8075dbdf1bbe49a6f0b4a", "30885b71532eaed5827b5de5cb60d9b85bce7a08", "9857eeded6b7608ff862174742b38946102f5008", "9c513b0f304b1bb29de478a1227ddb201ed50217", "d07483e2c1f89b490ae03507fd39bd3c0883f2d9", "69c2b7565e080740e2bdb664e6b00fd760609889", "e483f644eb20d79402bab1f5d96025598e101f82", "860196a306c9303ddaf323d702dacba68db658d2", "cfa205874bd192ab949132631a7eda995ecc57af", "5b4ecdb48673a29bdff063131002285b3bb0400b", "b632d47eb7421a3d622b0f1ceb009e4415ccc84d", "c6542d17b212d808cba48cd2b1536446b14e38b3", "6e7d799497b94954dc4232d840628c3a00263e42", "b4c80df27276660522f8901aa90c129c15611821", "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "01350214f850f43d72268df4f98b05901fbbe06c", "2a051c1f2787690fa9fa916fd548b62ce571f778", "5bd98e03691089cec9a42f8b0a00152b4578b903", "2accfb97407e74b6f55d228cf7048a402dd8cb6c", "de390a143720e697bc71c3727633b155bf25a2c1", "181d0534f2c0233804a6f90c75c919d868fd58e1", "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02", "a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc", "cf6c59d359466c41643017d2c212125aa0ee84b2", "51273a7abfe2018ccf2789a8e25d0c2ae565bc77", "16371cf22f9de60dd1edd7178669e5ba69143686", "2d2127532fbad4d5558ead3e5617e3d3004dd5cf", "fc441d3781c4d49355d40a4a41e69d21513b86e6", "2b7f906be30b9bc4fbc5885cf3d5a723b6925eb5", "22f71559c88fe32b405a6fedf7ee099c32d9377e", "bbfd178e0c92ac547f86aedfcc439741a1a089bb", "3949256c19148c74bdf97e2988a97eee1d933a54", "be627fd587b614e07c09940961ccaa42a64d0aeb", "c9ab493f7ab58e7923dfad04c48b860cfc5aaf30", "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "6e3660e8efb976c916e61fe17ea90aea7d13aac4", "195bec771d31eff04c8b0324878d2338ab594527", "1b51e3e98c8b2a2977cdfabc8483dd55c9dcad3f", "c9d9cb2c647c6489814098438a9fbd916a8a1918", "e7d777dd96777e9381d792c377db5d7347c9baf5", "60f7de07de4d090990120483bd5407369b29a120", "fc06908006036e9f6468c6ec3cc94a97e003100d", "2544249e92b324a7f79da6eb556c387a4fa5226e", "e2f994059b831d4b752a5e8131ccee250ca56ffb", "17ad76ef00d4cb584389682ca6b138a8bdc9a2da", "c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c", "ed7b46df8ee985d9dafcded81a2295a21e9f2293", "b8a5839f6b1e051f430f2b89d5a1a7e49a10655a", "7205b67fb64aba0043b43d167243aed3af72aa6b", "2c12d3a47b9446623df1d48b7b3d35857699219d", "3f6da4965b214ea947dd3b6cd33b41ece89e7e79", "de8e1a96fc02ddab239b23f222dbfe34249eca2c", "66436e96aafa7abd3b0700e8409dbb360775a9b8", "d203333f94c45cc6b885772b6e5453fc74231eca", "265c53ce3fbdb3f2623c4b20f38b94d3ed1d878c", "9aa36a46d63693c136cb8ca673128f2a2d4e08d5", "aaa021feeec2f84c4a5f3c56b4c0fecb5a85a352", "9fc993aeb0a007ccfaca369a9a8c0ccf7697261d", "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "5200fa5d342bca9a2eb533d8aeb31d89bfe89d2e", "85387549277d6131dc8596ffacc7a21aeee0c6d1", "5c9e0f15222424022201422c7de534e06575d3d6", "bcd6e682c11eaf493017cb734e95d606e49648cb", "5f09018d330f8d62b9abd83d44f1097d945508e4", "ccf413e4a730ee228769c82a8af1fddc2857fbe8", "5d80149e005894ab57f47e667f3e060e247d8e43", "71edcfe5e3a4e1678698a0659a7e51555291d242", "1d7df3df839a6aa8f5392310d46b2a89080a3c25", "1e92c074ab9082863a48fecdbf212f1897687a74", "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "9e86e9853c261f2e4affe61674ca26a537ba65de", "a455cbde9dafdb099d83464c7f4729d8f17208ed", "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "ecc09ab9c61dc3a3a15f55332f63bccbf443f291", "3a3c47b6da1ea1b8d57ce41d9ddb54a774e1914d", "1dc94886ca1d4893208d38b18cb7ad1541a74b82", "65783e66cb6d9c057edf7b37f6d0be24a78d3013", "33554ff9d1d3b32f67020598320d3d761d7ec81f", "8f7a38e1400631abfbe67de7d907fbf377d1f68b", "a5b2fb8711d5771bcb078a1e21430dc5a642095a", "dbe101c7c4b5ea5986be38e4d6de70bfc4324683", "4e4a4359c7dd25af7e2ef0910928cd9faa5d0cfb", "e513e8789e90251fc957351028e02eacb3a508ec", "709dbd54cf17212c7a61db58667ce7c7e2ef7d7e", "d94c7a89adf6f568bbe1510910850d5083a58b4f", "884fc5bf16841f8fe234abd7f3056206e5c4cdf2", "33f2761d08da1c5b1b6a8f65ee6930075cf9927e", "2d7c2c015053fff5300515a7addcd74b523f3f66", "d485683ed45dadd53b18b9e4ac5eacb3a7520334", "39082dd549ee32805f48cdac3ede7d8537696afe", "2098c31d198c2d195c37b8d632ade750bdda4cf8", "9fa224a709fba2df1cafdf1fda02bfdbd4015258", "415c16201f65e92b089918340494ba2a798bdec5", "7ffef9f26c39377ee937d29b8990580266a7a8a5", "046600fc88843159d5c53d089504b22f9876904d", "5ba7ccde201b9199b2fcbb37b604a99d8d760008", "1bdd7ed61a38b61399340c04cd478a96b67a51e5", "77c5437107f8138d48cb7e10b2b286fa51473678", "e8e662e45e39249756d2b0090782434a5cf1f4aa", "7334ebde5892b618c24dbac47027f61cf0473fde", "5b1780b24d82b9b93ed2c67d41885a2e7b6363f5", "7e1e189fff0b0cef3c231e6b2d01b65bef6027e7", "0d40a5118987c260934a2b7fb4a70c8aaba2e9c3", "1c147261f5ab1b8ee0a54021a3168fa191096df8", "8f1f11c578e1d66be0ec81a6dc4eefd9a0704e56", "55fdff2881d43050a8c51c7fdc094dbfbbe6fa46", "c758b9c82b603904ba8806e6193c5fefa57e9613", "f8daab1e4f63051b78eb43e98ab723f6c425a6b5", "3802da31c6d33d71b839e260f4022ec4fbd88e2d", "5fd262d1962262225c59ae33b07e69f6635c3f67", "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "c10b0a6ba98aa95d740a0d60e150ffd77c7895ad", "cc0513eb2647af223c0670c5d335c7ba91185635", "50a893a51a93c1308b506d98927fb30bb763145a", "8d1253f315c821bd2b354550ae9ea6d3d7be1d31", "b12431e61172443c534ea523a4d7407e847b5c5b", "55089f9bc858ae7e9addf30502ac11be4347c05a", "fea83550a21f4b41057b031ac338170bacda8805", "37af037923d0d7a4480a9c1f2e7d002f122bfebb", "110359824a0e3b6480102b108372793265a24a86", "93ae0e1704b20b89149e3eabce39c7428063e963", "1319d99cc71d3a8afe6227ff59defb15a6e530b3", "f36303b994e571d45bea1961edf46a072f4b2ffe", "fddc99348ba397c0f1a16f4ee44754fb7a411b76", "1b55c4e804d1298cbbb9c507497177014a923d22", "26fa4c87a2c9e21e9207cc4aee2b9890b1ad5a0d", "a75de488eaacb1dafffbe667465390f101498aaf", "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "79f02a006c77f2d7fece8302bf54d851269a515a", "d3b832f3c4e8b6d81eac24d6e070f756b9e8a7a1", "8a217389b365d06ae323fee744304067c8f62be7", "8e1514996169c84b082ccedb075ebfea719f27e0", "da5932a4f3af37030f0460496d4e0b6f93294bfd", "0b0d518eda02564a720298ddea04edb509331672", "b938d7df1158afe45f9e17b4426859c4cd218fad", "dbced84d839165d9b494982449aa2eb9109b8467", "f7242b7a146f62189f27a71ff56a26e17b26a363", "0daaa56d724c11e64338996e99a257fa69900236", "3c563542db664321aa77a9567c1601f425500f94", "852f35acbf6cb3cd0b7036ef7a3ee7b46bc78922", "98ef8b8e4df2c19bcd56827a5a9cdd7eb88364ac", "270864b41a66bc000812869fde40df10cba91cb7", "8ccde9d80706a59e606f6e6d48d4260b60ccc736", "8fddb940c70261a335831cb7aa11b0102f3d901e", "70e41be079ff20d213a37e09b9a82bfd2beb2191", "a260adcd209acb36150400d38d599a8b8025523d", "0192c20b9f4fab5a4d76d3e78239f0ddf5deca09", "68484ae8a042904a95a8d284a7f85a4e28e37513", "b64cc1f0772e9620ecf916019de85b7adb357b7a", "806589080e7a5e48ee4b8883fc819b521f749128", "03b31cbb8e64dc9402b76287f06f15840acff3f1", "3d045d8d8b1af5eb6ba0b8365dc87d57bebafb4e", "dd16038195c0f3ce6b1f3afc6a0482a12bb9ab6d", "0a91c7e4037912b9614eaf738aa732be7bc22ec1", "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "9f131b4e036208f2402182a1af2a59e3c5d7dd44", "8035e8796ed5bdd44477c523cd6b03f9adfa2d8e", "badde061da20510ca74b94818eb726d27ff2f491", "a74abb9ae03bcf212ab97c4412c1be140b3142f7", "a04273851ae262e884b175c22decd56cbd24e14e", "5c36eb8c700da01e4053d0bca006171335c9ec8c", "cb96c819f20f05ad0d85bba91f86795162f63445", "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "2cdfa08b7f158b57edada00baddc0641af5b0132", "33e539cc9bab90ad9165f8482c1329d8870e9bb3", "089b5e8eb549723020b908e8eb19479ba39812f5", "f7c4fec94571969af6bf2926ba951cc766b85516", "f2743ae62496a49d69a049141fcddcb3d1fffba4", "2dafea864f74a477414c3b71b742f7997e216102", "6d4790026b63a175a635351b355cb7db7504cfc1", "f79a1ab802be2ca879ddb7b813028da61134f30f", "e7cfaff65541cde4298a04882e00608d992f6703", "f37dcdd86bea138706edb14459ca29de7b8d5ea9", "91dec705d119cb3cc40da18f51aafac3c5c191ce", "065756857d5180a40b493e88f4eb3b24d30a1713", "3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9", "33cbaae593b6fc0d4cafdd41cec11e00956e251f", "0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc", "a84bc1216f508ecdd8bb310e21d5f9bd15dc66d5", "f36647e63a11486ef9cf7a5a1c86a40fda5d408a", "b85580ff2d8d8be0a2c40863f04269df4cd766d9", "03046f4dd5c1535a9d97662f75d1e3fc9bda407d", "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6", "3fd203807fab28243f84d2360572796869ccde90", "bf45eec73c22f446458091656bafdb037a79a5a6", "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "78bdaca41440f03b4d18a4caf9f0dace9afa08b0", "6789bddbabf234f31df992a3356b36a47451efc7", "4b6662a1b123f2253b8f9bf0511ca57bfa9db951", "36646992d460e12615a7f6cd249d4aa8626e0987", "ccc65463198ee0a0db9b303a3dc903c762dbccaa", "ea2d3a58982bfcf5b22986da513eadf2e74cbf4e", "295c3be3e603b3349d23f8733c3c3eb1744b103c", "0dfe04d3fd96dee4952bac36bafd3778c106dc1d", "23334c7b7860b8e4db873fdeed127a1034173d5c", "ca92c54ec18e72d3ba86f3b80d82974707882abb", "4e71ac257b104bbc161331ab2a66e86515427146", "8741a327f06b2969dc5e1e7a89b577f2d8c262fa", "668d39ceb83d06c61ab58cb689a1b744ff520669", "32f62da99ec9f58dd93e3be667612abcf00df16a", "ef2bb8bd93fa8b44414565b32735334fa6823b56", "b5ba0c50cfe2559f4197bb35cf50441118b768c8", "3918a0c698a9bc1ec576e2f5138ff5af41892822", "b49425f78907fcc447d181eb713abffc74dd85e4", "e58dd160a76349d46f881bd6ddbc2921f08d1050", "30723ada764c6ec186927522d666eaa8eeae35b1", "0cd87a66028f9d3c519a9459a213905b42b4c3b0", "17e563af203d469c456bb975f3f88a741e43fb71", "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "3faebe9d5c47fc90998811c4ac768706283d605c", "8b5a469d131b304eaad13a99b8092a22a1e5a263", "1b92973843c3a791bb5ca5a68405c3ecb3473ded", "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "ea2d43aa2490331cd1406e1432ce706c53139323", "c877dfb0c636852f243e53dac4445681e1985a35", "b4e889af57295dff9498ba476893a359a91b8a3e", "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04", "a693aa8f2bde89158bbe9aa8abec8428518c8d45", "2945cc9e821ab87fa17afc8802f3858435d1264c", "a9a414604cff39f1a03c5547385dc421e6c8452e", "894f1e924dfb8dfb843c42835fa79e386ac07383", "a6e51e37b8fcc679d331753441ca531fcedbf002", "d69b8121771f211cd4f0d9bc960954643731ca4b", "8e63715d458ff79170a010c283c79427ce81ff0c", "8694cd9748fb1c128f91a572119978075fede848", "26de38f28172c5bd05f623469449a860b0409b11", "4e09aa735d3f0514a5dd43bafa6a1515dfe76e9e", "3cc5f82147bd203e6d0a2cf9d2b2ac0ce31e58d6", "f4d25431e4022e60c465b3f93abd0dbb08864453", "97b930a4fa4670a609b6ee8811409090fe55b313", "b1c80444ecf42c303dbf65e47bea999af7a172bf", "1e1ab3d08fd71ab7368464d9adf78be1170fa728", "c8dcb7b3c5ed43e61b90b50fedc76568d8e30675", "90c8899132396fa1b4c1efd534739cadd5bdca3b", "877397982198554e9294f0ddddd8d971cc87cefe", "57235f22abcd6bb928007287b17e235dbef83347", "8e06017bf1afe6fcc6878da7c15aed866a34755b", "c5b311152a4e611288a77fbb1460eb0fbb049de3", "d39b132a5c114e48a74c49b3f07634ac43d90595", "00426c770eb74b11bdc63e24c8ae7f1c84c8ea8a", "e088a2537492ed5a22885e871a51102a95c97cb6", "3355aff37b5e4ba40fc689119fb48d403be288be", "b63041d05b78a66724fbcb2803508999bf885d6b", "e184ee1c1ad3ea77dee5d8f9329eb2efabd2120a", "4320b0b7e65607e96326990675ac15880dc08b89", "5b3e9cd460746c51607ba2bf8cac439f37d0c5c3", "231af7dc01a166cac3b5b01ca05778238f796e41", "a84e03b5a7cd00864c8090ae69555d600d044255", "626c12d6ccb1405c97beca496a3456edbf351643", "8134b052a9aedd573dd16649a611f68b48e30cb2", "6b95a3dbec92071c8552576930e69455c70e529c", "330b3db69f70f01afd674a2b7bce4bb5000bf164", "e909b9e0bbfc37d0b99acad5014e977daac7e2bd", "9b19be86280c8dbb3fdccc24297449290bd2b6aa", "f3356570afde9002601a46395d565031945c7a5a", "2f39fd505b04ca363b9efe23f1937fd414a93ce7", "8caed04a8207c812929d547969454c304a0aea98", "8bff7353fa4f75629ea418ca8db60477a751db93", "a90226c41b79f8b06007609f39f82757073641e2", "00d0ad219577c70a3d6295e8839841b2f1898e29", "a0a950f513b4fd58cee54bccc49b852943ffd02c", "886213eb40002beba2b299d047e25894da499a76", "c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1", "5f69d59ad195a69618231ad83c4ad6342a569074", "7a9d2135cd3b2e73d15fe36e9bbdd3ca212e585f", "39d08fa8b028217384daeb3e622848451809a422", "1b72222651c5b0295981e26d1333fadfcfb6a480", "0b783e750da34c61ea404be8bc40788fd66c867d", "47617c126442fb041f8aab30a8c0c5d2a56d357b", "b04d4b1e8b510180726f49a66dbaaf23c9ef64a0", "08809165154c9c557d368cddfa3ae66ccaceaed9", "d944d7899f1a8160ec60473731a1d6744b6b1a84", "372bc106c61e7eb004835e85bbfee997409f176a", "9b9f68a002eb1fe42c0983723b8e388a4e52ad8f", "40638a7a9e0a0499af46053c6efc05ce0b088a28", "a5531b5626c1ee3b6f9aed281a98338439d06d12", "cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8", "346578304ff943b97b3efb1171ecd902cb4f6081", "a562180056cc4906d6d5ef9d2b4ed098d8512317", "ea7fbfd02bf17b310e1e7f4be12d106b4990c33d", "6211ba456908d605e85d102d63b106f1acb52186", "fed9e971e042b40cc659aca6e338d79dc1d4b59c", "169565b280eb25a9cbcc1528420551371ffed314", "f881d2a04de838c8950a279e1ed8c0f9886452af", "1a8a2539cffba25ed9a7f2b869ebb737276ccee1", "2c94682176f320f406f78c484f9135f085d1c0f0", "7fa62c091a14830ae256dc00b512f7d4b4cf5b94", "3567cdb5543f21c37664a454d77cea3b54787bf1", "b959d5655a3b2f92c2c1a8a7896fecafafea979d", "df87a13f5c175217b9414bb1958c0fe1a28028c1", "e530b5dbced106b72ecd0d1ef542d2c9eaf00856", "70ed5731757c62fe81e2116ee419ca26d6ec76c5", "b5097e8098d1ab1cc76b5d1baf693d61fcfee46a", "542015e2c78c51203963b76632b7ea2a6c46aa74", "0b50de08502aa819fcee452f996b12d04dbd1f23", "06be17bcc4136476855fc594759dddc6f8b6150f", "07736be32a3d966e13785d2a145ed6f1223cdece", "8195787260dfc6bc9abea3b1dac1ce15f747caa2", "34b07ddb01d983aba64a2f0f569b93270b31d322", "516d34c32974766bd14432d3aa2723dd4e7a8d62", "f0483ebab9da2ba4ae6549b681cf31aef2bb6562", "2727927c7493cef9785b3a06a38f5c1ce126fc23", "284b5dafe6d8d7552794ccd2efb4eabb12dc3512", "b5a369ebcb2e9a8169b71791d77e7a3ad992870f", "eba13a9c5d62e254f4ee1ad48076a33be5f25f2e", "7cca4d680152ed43e6dd8cc55d9ea55e2ed64eae", "33658ee91ae67f3c92542dd0f0838b48c994ae4d", "5a9103153c7f36d8a28bfd66e89ff05c93129415", "c5102d940cd249df5ffa084a1b8e1bc5a75cd769", "db3ce18f318ee732dab2e2f574062c94f7398943", "ec3eb92b9a56b1fa84b127b8acc980555cd1f2e0", "e90e23a757c346170df4f403d0c18bcea2874ed7", "1450296fb936d666f2f11454cc8f0108e2306741", "55d0eaf7393bb6bd0483c98894f16269d275c2bd", "7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a", "e309632d479b8f59e615d0f3c4bc69938361d187", "35800a537017803dd08274710388734db66b54f0", "31674c65a4bcda817a1c8de0a440ddb23eb43824", "d417508b6e1951543afb8d382e6e9e8abeea812f", "36b678bb0da3713c62a71865972eb94165580d22", "e1740c8a562901ac1b94c78b33c4416500cedebc", "f792f75f6d2bf265569d4e63dd139c4d04ec7fdb", "72a6044a0108e0f8f1e68cd70ada46c81a416324", "f984a5ad2d379b4e4b51005a73cdbd978ce3d810", "db0d33590dc15de2d30cf0407b7a26ae79cd51b5", "34a4c733bc2b53253dbebe67f1af83b969c2e657", "476260eade2959aa064a3798322532d79bdea912", "bb97664df153ac563e46ec2233346129cafe601b", "b9350f43816f3866ead2f1b54ad782d15eeed8f8", "2bff9e02dd5d5ccab39ffb024620655166b151b5", "21a111fea344b4cbc9f3f4de4cdea70c3f3f4d18", "d060a7a715f2e233dd09777bf651be10fa19f3d3", "56f5005c4be6f816f6f43795cc4825d798cd53ef", "551b75dd57829b584de5f51b63426efac81018db", "c074d5a645e1554faf0383282c37af971c5441d8", "7bef795ee04e41a934748a1c56fedfd1fb827893", "e05b5c38f342be48f64eee2568d78c42d6c9c2aa", "25260fad04c7a2d8c6d4e9d8a9746ed6811d9cb2", "dfcb4773543ee6fbc7d5319b646e0d6168ffa116", "af405d9a70846214a0e3218ff7dd28b051ac4aef", "a47ac8569ab1970740cff9f1643f77e9143a62d4", "665265289471d08a4b472329eb42965b51ac485a", "e0515dc0157a89de48e1120662afdd7fe606b544", "a8760dc83e8cb88f241cc206855fbbad680889a0", "b872b3b63beab636e0b9c5164e3300a96f7f2a27", "3f6474bc611ec790444ffa6e644a258f3d2aed37", "9385a155c5245420a7c70c867d9fea6088a9b2d5", "cd1758d3b86c4f1caf01ec222b45daf15888d1a8", "637de43801f26fab8f567787485c57ab92273ce5", "a91fd02ed2231ead51078e3e1f055d8be7828d02", "ffd0ba45cc6b0c8f72a09617144786ffb26be771", "95a0c9f41d0cc6f45853d616d5476b8aee54ff0a", "2c49ed3085fb1e3f12f901b1e62f5237dc7cde03", "4c281ab9e305c8424d539782705f99125112fb34", "6b2db002cbc5312e4796de4d4b14573df2c01648", "26690f2548c6dbf630de202b40dec417b20c9b6c", "6de1299a192fdb852846e3cfa4a428b8fe81523f", "84c35fc21db3bcd407a4ffb009912b6ac5a47e3c", "a0019c58f18e2ddc2935c21353c03fdd8d5b34d4", "e9afb44fa1bf048e90d68f755945bc2b81642239", "a765b506d29cb46420e125c86ab6ff442905e9d6", "bb1bc9df5e9cec3e8a03a027b8016b8fc25be73a", "3d5a4b31e6e25cd0cfefa0b5925674377cdaea7d", "9db7af606e6eb6238ca900145c8270245e9d2959", "216c3b24df3e2368a579c76b4f98fd6608ead14b", "77ee75f96e6498ccc7bb7ebcca2acd7cc4e33229", "41a96329d93e7b06ebd6b3a761cc0d50375c5f15", "f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d", "d4c5a544bb52f005cf754ea1f86b1d2124b8f74d", "dfe5849fc844bd7b747b3ecbe0f28ffb7e6ee917", "7689d23a22682c92bdf9a1df975fa2cdd24f1b87", "2d2102d3fe127444e203a2ab11c2b3d5f56874cc", "318c4c25d86511690cc5df7b041a6392e8cc4ea8", "8ea9093542075bd8cc4928a4c671a95f363c61ef", "2ad18180c313fd8b6fb6a9d87922974d111a26a3", "b7bf1fead0b966de955b33b024fe84866be42695", "9a62a3b6894aeadf0043fc42b6419c062ccc66d0", "21d1315761131ea6b3e2afe7a745b606341616fd", "729405648886d51d441351dc51ee47cfe53bcaf0", "c879278c64a525fd8efd5dc500719975a3ad2d9f", "3e2ec9cea926bd02072aa41bd81eb4c593e205e9", "62f24c0b30e3703c8e24b7118a5a6356d4856077", "a8895ffa0b60d1456539f1c6bc995bc7c83a9613", "d5d472266aae563010e12ae90fe5fe6f3c484cba", "4a45b8f8decc178305af06d758ac7428a9070fad", "2a142bad9ad28ae70ad399b3962d51c16a2d1289", "c9d7219d54eccb9e49b72044d805e103fe17ba80", "61ba7ff98d8ab1b2f10c6e0c32dbfcd41e7017d2", "2f587ab6694fdcfe6bd2977120ebeb758e28d77f", "a6b908c2d4367068f47c3163d4695c17a6300c4d", "4156746cdc99a509549c4028c7122eb6dc90b1a1", "4eba5f6824f29533e0cd2660e49f2699c7e6501f", "006af49a030aa5b17046cfaf40de8f9246b96adf", "f67afec4226aba674e786698b39b85b124945ddd", "b8942497abfc1025b3961d3e62bd326b829b068d", "1c4c0cf2474bd250b30aff4326c013a1fba9f5e1", "ade6e366157dfaf0f7eb34e64c7589e62bf46ffe", "2da1a80955df1612766ffdf63916a6a374780161", "0ee737085af468f264f57f052ea9b9b1f58d7222", "801a80f7a18fccb2e8068996a73aee2cf04ae460", "1667b7c68e733f95f81c12e6cac73e5f659abca1", "34558af5df236172cd99162057450b81f1ccba1d", "98ded5dee0d263c6532a06d5c2a9b08acc4d1db3", "250449a9827e125d6354f019fc7bc6205c5fd549", "67c51d4b2975c1468d7de90118ce3eb17e375b15", "834f5ab0cb374b13a6e19198d550e7a32901a4b2", "7e3147a01108607fa65ace289094e5b5b525929c", "b19f24ec92388513d1516d71292559417c776006", "09a179cc3a195f2d414d46d3378eb74d0baa0292", "16f79b8917f53eff7da88c6cde9300cff1572eb8", "e37bde2765c0869982c48a7bbd139d0c63246fa6", "4ab2b6ac74bc2f48c4e1fbf6156ec5f44c3b0654", "390baa918c5868cae882ff8a07493b6dfa71b4ce", "c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd", "c1a6ef8845b1798d7c0e208d337cd94e41cd7773", "2e10560579f2bdeae0143141f26bd9f0a195b4b7", "189eedfc81ee47b2b44caf8bfe816726697ba421", "8f954b1cb03c97c64a10ea563214585d175557e2", "5bbf9a1dd48c9d388f791ed0627f010c3f5b6d64", "075f0ca63dc0eb24b537125a983c28d61678fb2e", "5da53a17165fcc64e8fb6e9ca532bfb6d95ff622", "51236676c3bba877d82c31b393db1af4846527ac", "806a567515e85dd089792b6de6c0e509307d0fb3", "7b07a87ff71b85f3493d1944034a960917b8482f", "c14fe5e69383fa9dfbd256965df06a99fae5558d", "bf5c5c346e5d378731030edb53fd0c8a49781468", "a9090748223ea0932d075a2eb5615ea48bb24cc0", "737a3fb82cb23cdd479fd368a45847f2c619d444", "120adede81dc6b3bfcb4cd276f0b73cc58a96c1a", "a66d2c8220d53742ec240ed3e77b8f81a0d72531", "f01d1f8a714716e0a7a399ccf8b5707272ebf7dc", "4e29533438d5c612ab24b80c840446eafcb5995f", "5a4a53339068eebd1544b9f430098f2f132f641b", "9941a408ae031d1254bbc0fe7a63fac5f85fe347", "308898a6bcb180f8fde1901a89e8baa213eb4954", "404c7839afe2fec48a06f83d2a532c05ad8ba0d3", "775be2fe9e6d7ca97209692ee3f85fb0f1b125af", "da13a0dbcea87e032acb6b1ce64f7cb778f39612", "8392640c275cab9bfbf6b35eaf4556618745b118", "0c2d0734a2c9d3e4d8a585b3f2ad4f642bf06dea", "7e1d22e87c436cb9f9cb1841b1e6f2d38c012c0c", "3d38022d7ba71e865ca406d28acd3fe547024319", "cfd37181201c886b591c30869af8c7f39cd7d22f", "22bf723638ace7a42842b1f31005f135daef1a06", "7208173daa5131f59be645fecd81e103ad3a2d70", "e90a925fea8456718527a73a3621fba9b848de28", "ba26bf9ffd328d23faca2deea9ebb3292bddcd93", "102a2096ba2e2947dc252445f764e7583b557680", "6b7f27cff688d5305c65fbd90ae18f3c6190f762", "5375149a74361b51d734613be5d2ccba0c6b6955", "8ae92b73020dac2c98c72cbaf823cff1567bd91b", "4d3cbc5799d7963477da279dae9a08ac4d459157", "99c81b2dc2a5def38f62db269bba7765cff129e0", "fa60521dabd2b64137392b4885e4d989f4b86430", "e75a2c37940a0f4e8b9f8d40d059ae4da2c443dd", "c425b9f65845c319f3ef2c3c09aa2fb056d7e3ff", "ba38c4f083ccde8a932952ba865e57d930476b1b", "13402ca147038e8424a4ac18ecfff968083308d1", "0fa88943665de1176b0fc6de4ed7469b40cdb08c", "7b058f57d40925e255f88648e9bd41c6aaf1c37b", "257e61e6b38ae23b7ddce9907c05b0e78be4d79d", "16abea5536a53251ae4d13bed7a3aac70d03a1e0", "5284e52e739ea3b26b9defe7d0d44522b8a391dd", "58108d7ddb79dcdab8c403f0dea6f239058be0d9", "544cf61103ac01eacb6d41f4d35ee1cf89167db1", "c86e6ed734d3aa967deae00df003557b6e937d3d", "fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb", "ed3bd655c6c428c0ea0c9d505e8de09950700170", "815f496b43a7acbbb530ae2fc2ff05db5bb7d7de", "6a3e43e397aa9a4a329c22eef7359a2959064f44", "48a62c91794c55aa3a81acaca77de52753a854b0", "1c99e412666d63e46e1c6606841837d3c18f48e6", "664f2a6b454dc7e4dc81ac441fcf0f4f919ad884", "2ba23d9b46027e47b4483243871760e315213ffe", "8db04bb700610bbd1429792113af743fc17b5e18", "8bddd0afd064e2d45ab6cf9510f2631f7438c17b", "7f71833e2d9d374d2fb1fc37e3c99911d545980f", "a8ef9a39e68bbc7f6f25a8155cab52aab6708886", "a4ee9f089ab9a48a6517a6967281247339a51747", "07a8a4b8f207b2db2a19e519027f70cd1c276294", "245f8b05bdd1ac65a09a476440dc4b05ac05d4a0", "21ae4ed57d395aba2158a4f86e93935be66dea20", "ba571cbfbabc30dfbc00678f37d41f50309a0b54", "654ad3b6f7c6de7184a9e8eec724e56274f27e3f", "6503c617db449861b96043b2bc892a1b4cb40a95", "f29a24ee71940aa46b2c3438d4ddb89b33acdbc4", "9dbc8a0abef578414573d7e8c5c56bf91dc74a4a", "3654e8d4f55df2dd12c0cdc37150a8a989b0bc74", "48810b60f1fe6fcb344538d5de8c54e5d64c20bb", "d6ae7941dcec920d5726d50d1b1cdfe4dde34d35", "782503820f20d04044c0bd385c2a4ed95d889749", "e2afea1a84a5bdbcb64d5ceadaa2249195e1fd82", "a7ffaca97861a4af061a7151f29d909c74c3a7d1", "e7ad380496ccc2e65486c2158589ca9b009cc386", "4b8903b4eb3a60c0fb01c229e3192a5f9159d460", "00f1b6927785b6f4305cc35c1b0bfbbe2010c31f", "2d42b5915ca18fdc5fa3542bad48981c65f0452b", "877791f13688f7499c35744a8a0dd2a778f881e9", "ad0064a1f3d5e2b86a904fe44d2c17680870e2e9", "d4a925cb0ca66b1cacec325751f4a85e5b74790d", "7fe7fe517119e39eab2ab7cc5f03103d9d1c03ee", "b10319193be303038a9f58e7552632791e3f1ada", "20e3fa37b32de36237b6cd7b29ba2eceb0ca3ed0", "7c2174a02f355a00f1fd5aac6dd62c84a919a2d1", "c9bffa1879b16c988d8d777631575fef0ac31371", "798cc4f05ac0699215d0083130c2793be17803fc", "70f3d3d9a7402a0f62a5646a16583c6c58e3b07a", "e667ba14fd3ea15491ad7c7f2f7e3622d231eeae", "edd6b6cd62d4c3b5d288721510e579be62c941d6", "9063b17ccfdf73fc789d01d3c44c451244638528", "226f08bb8fd049fdca2f6a8a41ffe485a0ee6ebc", "485f8b28dcb7a5ffc98beb49fcbb50cf0a0b6331", "911ee14fbd3f0b9ccbd91090fbe4aa65d73f46f5", "1b5866c5b3715b410bfb4ccca6d42b32162d4ef1", "22d51400424c93eebc136213d51c1aebc9c1f715", "4e91defcc0b5ddf18fa70c34d91ce94a0be0f4d7", "33f62d2c5eec27a692154cb536c77ecc2ebe6126", "53275aea89844c503daf8e4d0864764201def8f3", "e7263a21c0bf2c146e1b8a13b8ad518286a55159", "473badde394d37cfc51349b5e212c567107cdc43", "2a3d5b5cd9f2955b3835d951b11d13abd22c999f", "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "b1ffd13e8f68401a603eea9806bc37e396a3c77d", "62eeed3ae184ae6c944fb41b49ba32fa506380a8", "788a3faa14ca191d7f187b812047190a70798428", "7c2494c8b59a76404996e4b34889da36d140dd4a", "0677dd5377895b3c61cea0e6a143f38b84f1ebd7", "584f9ccba8576ecab61fd4575da7484c8f9a7bf2", "12417ed7ae81fb4e6c07f501ace9ea463349481b", "d5909f8d82bff4b86cc36ecd000f251c1a76293b", "b22b4817757778bdca5b792277128a7db8206d08", "bc17c2075d7f7bc414acc00a88ff5a464eedaebe", "17f3358d219c05f3cb8d68bdfaf6424567d66984", "6066e13aea80f64b6ad1415cfc3839c1f8590c04", "edcb662834aae8878a209c769ed664f8bd48b751", "bcbbb240450a511841ee8510f8dd274e6c788f2b", "55848229927e9430fcf844207cfbf0a8b444b6a9", "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "91ddd01e983336731dce6640d66242409e6d5430", "14defe2727fa6793132b6c419ff2ebc97a765a7c", "20f0834aa7a3f687b63bae4e00e9ca0a52c22789", "69c8b0ec77d3164df2069a5133780a36ec8e91ad", "6e80dcdc0a702931aeadd154d3a7cd635441a70f", "6196fa926ae752f927cd550b74259069e18abc71", "ae2b2493f35cecf1673eb3913fdce37e037b53a2", "d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921", "621ea1f1e364262348135c803557e7b3454a804e", "8818dafda0cf230731ac2f962d8591c89a9fac09", "cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8", "01b86519d78f31787f6e6200c122e6f281d4b56f", "bb9a697548b8f3f9f2211228a907a8763d2a7845", "403530d1c418de29cbc595775ec45e16183950e5", "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "4fec382efed4e08a36fafa3710b97f0b20de1ebe", "799322fc525964889afbfde27db1fcef9feb3d61", "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "c35724d227eb1e3d680333469fb9b94c677e871f", "273785b386eaf01be96e217a2a8aa1c2ee694c2e", "31996925c87d8306401a970fe10e4c0f9123d2a5", "cfcb4d0d9ba7eb86f068c4fe0f9e6676a37481bc", "912475e1be5c327ab25eda51d77de141ac5f4ea7", "eb4d7688cd03f3863a175149f5fa293140f9df30", "f6c814f6efff8031b9ebc62cdf0f3b343441e7d3", "4e97b53926d997f451139f74ec1601bbef125599", "9e1c3c7f1dce662a877727a821bdf41c5cd906bb", "492003c835c97b7151583e00764237294a80d05e", "d8b2e37eb9d2ee0e84bceafce84812cfa0b88211", "1c44b632bcd6494f4cfc41c70ed53d93f72473cc", "4941f92222d660f9b60791ba95796e51a7157077", "ada1a5f2d2a3fb471de4a561ed13c52d0904b578", "57522ff758642e054d7c50753ec1c3fe598533f0", "b4282699ac8fcaba118afae76aaf72bc97505fb3", "f8a2a6b821a092ac43acd4e7366fe7c1e9285317", "a45c0cd7f089718e52bbb75bddcb1fdfeb49c4d6", "251179381afd4f65ab59ddbd8cd37e24d439d140", "0ac54252eab1ac7641e03bc9b7344e2064e06405", "04fd269c96f11235fbbb985bb16dacedaa3098fd", "45c182f8d003a2d505e4d1d491b5d03159a70b81", "27c4369463ff28f4ab16e9d9eba6f48102c8793e", "641fd2edcf93fa29181952356e93a83a26012aa2", "9baf0509f63a3322d127ae4374aa5b0f9d5439b8", "9a989c7032051566d3ade03e5650ea6a41a5a9ed", "833cd4265bd8162d3cfb483ce8f31eaef28e7a2e", "00049f989067d082f7f8d0581608ad5441d09f8b", "fed5546113d945807e2f24317c0e560d1d21068c", "1cce875bf085602a2b0e486eb37dadc47e4efbb4", "4563cbfbdba1779fc598081071ae40be021cb81d", "389b2390fd310c9070e72563181547cf23dceea3", "c43e050799ae2d193b8fd8623ce93fdac4adf2a0", "e51d170dd4119ae1464c01fbb14e04e0ce8b3025", "d6e8e560100c43ea22070535b2d0e31f518ffb72", "e23ed8642a719ff1ab08799257d9566ed3bba403", "f89e5a8800b318fa03289b5cc67df54b956875b4", "0a13581afdae66bcf52755bfb53410e6e54c1840", "45824905119ec09447d60e1809434062d5f4c1e4", "7933a312c4a4ba431eb0357fd05e8609ca66eaa7", "c03ef6e94808185c1080ac9b155ac3b159b4f1ec", "4b850dbf3c818dc287f27f144f870b4f0b08ef09", "4cd7c8e6c36457729f0c7a0819a6f3a5c84c1765", "97eabf253570f1fda79a0e217a7bbdb5aec871da", "fafd0d7dd9c845960bfdc90d87066bdb14d4e3ab", "b4e3a880a978604b11a2c476bd84a187dfa03ea3", "b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf", "54f9d5b3cc0a29f514fbd624ea0ea0b8f7209edc", "16f48e8b7f1f6c03c888e3f4664ce3fa1261296b", "60bc358296ae11ac8f11286bba0a49ac7e797d26", "c2b3bf311a9182b1452f5ade82fb6db6263e2ddc", "d80564cea654d11b52c0008891a0fd2988112049", "b343c170a9f50133318170db12115c700c45d04e", "7dab6fbf42f82f0f5730fc902f72c3fb628ef2f0", "1340054bbef7cc95007a8756b736086740d939bd", "56599a6e1a3b552081f82f0153e85bfc3144e07b", "a111ddc170f41b4df799fe76edabc1d97f6034de", "9019286143f89561509506c3164f36f0e7e3a364", "16554e854f1dd6964883d929ef34eb4c1f04e072", "f79da1632565f10ba4feac93fbb1aa521ba09015", "3bdf9c8ba5f5cf1845fe69b3874f0036ea8c245a", "4771af2eeb920bde146c74ee0f56bd421793cd33", "92104ae97d3b57489751528a315966c0242a6efb", "2cc9e70cd4664533af9bf34b2da7a1c2694616f8", "3a8ac4e7ae1987944d4fb704831336b277416f98", "9c829fe97d7958d7ad29b22193e1abc6fc95a444", "646030fe70672299b099adede5c446115826f4f6", "6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7", "6b327af674145a34597986ec60f2a49cff7ed155", "fdcc1e66697a724bd2d0d2da368de04a7eaf9209", "72887cb810616b5696814cd14b7e892af742d9b2", "42a712dbfe07262ba2b479e800008f08ad1c1388", "ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf", "5fd147f57fc087b35650f7f3891d457e4c745d48", "27109d89d37b7b15c229229da6720d21311d33c4", "4273c24df71ec59c0c1cad95342d01cf53bb7d8d", "bc995457cf5f4b2b5ef62106856571588d7d70f2", "86f605392f693fbc39e1c791e69e616bc09aaf61", "147b7998526ebbdf64b1662503b378d9f6456ccd", "053f5a00d58541c417693a4e08a76005e135486e", "065c54829a8d2511adc9122ad183be97ada7a7bc", "341de07abfb89bf78f3a72513c8bce40d654e0a3", "9d9106d48e30c07d45ab07c21f8c35d11ae4d35d", "008936436a5dada1366ccf239786f913a47c340d", "a9df9f3500d518b1eaa2c450d5cc3b2b8437dd67", "e5ee85c412942bdfd9df8cc519d4af31d6d08a67", "6d6834a094767356474d34b099a2f042ddb44e69", "d3f907cda8cc949fc61ae1ced09f4f7020e61159", "81d67fa2f5eb76c9b0afb2d887e95ba78b6e46c9", "0ae192e146431a52d7bb51923e9bdd7292ab12ef", "ff3401d410fe89771be0f528170c4990397c264c", "5423749e5cd6a386da9a4db329a30abe6dabc8fd", "c6437e7fb44f13a5ff610c9daf8fa7ce4a6c1ec3", "688550a6c72f14cb8f2d9d86802c7cfc3d3d800e", "8a5099b2ae6912b4df22534a1b3065e147c38b9c", "fe030b87e3c985c9dedab130949e2868e3e5e7d5", "62b90583723174220b26c92bd67f6c422ad75570", "fb6f5cb26395608a3cf0e9c6c618293a4278a8ad", "2780f8fc25320f4fb258442ceb790ffe301730fe", "d2860bb05f747e4628e95e4d84018263831bab0d", "80a3ad65623a286c11881b542e3262ebb2733219", "18ec3b37a33db39ac0633677e944cc81be58f7ba", "556ca2389246b0a848b578dc824b930e1337a4bc", "d5c4e3c101041556e00b25c0dcb09716827ed5b3", "69b5dd48d0f6f95f4dba5ad8b35b51de446b632f", "154e519235933c594624243775fc383b87480e6c", "8d9067da4ba5c57643ee7a84cd5c5d5674384937", "0ab07d0d6cf8d417e695a43ef4b88bf70b68213a", "ff83aade985b981fbf2233efbbd749600e97454c", "49d9a2220843e2de86a37599ded349ce936565e4", "95a3af61b398976c13d96baa32481e1bf4a31984", "4a5bd1f2935f9a3c33f1a103a1d43377e61265a0", "9f723469b6634a7d08d3b888e23421e873c95617", "fa3a1b77c105f40199de835a75b4b232ac332f71", "af666cfbb17e1d816124fa5b7da6bd31dded9205", "46d16042c6edb8d1992ffa2a2fd853dca85af7cb", "d0fdf0f3f47d9f9d11e84961573b324c51518f34", "886a50f269ace4b140ddee9d4c7277743b27e250", "6f900e683ea1fc85825a403d1ba2df7875f35bb9", "7c0c9ab92d49941089979c1e344fe66efc873bdd", "d9ee64038aea3a60120e9f7de16eb4130940a103", "4131aa28d640d17e1d63ca82e55cc0b280db0737", "ca42b7f881437976a6c60de0229ebbf31b58c3bd", "d21ebaab3f715dc7178966ff146711882e6a6fee", "7b0c88bc555e3ced093e5cecb5dc1996f42eeeec", "8216ec4e94537de667510a7ef2ea051622fffb36", "4cb48924acdcc0b20ef05ea5f5e856b081d9b40f", "e4fb693d8b2755b8e989e0c59b28db3c75591503", "9fb372fd2fb79571de1cc388154d4a3f0547d440", "a22e1e95a21d895049ed24b5c86f888a0a097565", "99f565df31ef710a2d8a1b606e3b7f5f92ab657c", "2786a595741c0bdbedbc0e3cc2e4174f784ac776", "96390f95a73a6bd495728b6cd2a97554ef187f76", "d81dbc2960e527e91c066102aabdaf9eb8b15f85", "3712c0706269c6f177e9c2b24b2d47b7ef186128", "8a3bf4d403a39ed33f0fa8cf78dc906d6130595f", "7804949c133d7308d828a94a7944d47c1f0ffe67", "cf65c2df432cd9dc9e29aca55da4f49d9cafe961", "e4d4bb14863e6a24a1a84701604cdb8e9fc14cb4", "9e8b20ac34f560ae12bb51f3e3713ea755d36c85", "6903496ee5d4c24ca5f3f18211f406e0ba8442d6", "39c254cd706b9fb89b369b41b1c4d3949cb554f8", "c9367ed83156d4d682cefc59301b67f5460013e0", "0e312aee6b03a697d112a1bd8d25d84d1a122d8e", "b1413b4ff88f33f3d14e30f6e9e206bd3f5d8fd3", "5db0fa82c322bb7d9f60109294d088ff139eebf3", "9d8978ee319d671283a90761aaed150c7cc9154b", "5417bd72d1b787ade0c485f1188189474c199f4d", "23876c7f756c9601266aa0149800c1d990683b47", "f04bb86c4f46666fd1c0313843be9758d6144a9b", "59e91bd46492391beadce041806297e856af6ee6", "fbbb0c1ac9b26047348fa1acfcc1e4b47fcd94c5", "d3d887aebeeae44cefd5c2bdbb388d9ce109e335", "c231d8638e8b5292c479d20f7dd387c53e581a1a", "a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd", "8326d3e57796dad294ab1c14a0688221550098b6", "48143b1270a2df096577e6681b1f1ceadacf73e8", "40c3f90f0abf842ee6f6009c414fde4f86b82005", "c64a45c2ce84c86e67cf22429d78432aa138317c", "174ddb6379b91a0e799e9988d0e522a5af18f91d", "f83d1726f7a4e164027a3fa44cfe842640907d35", "b099dfc5c823be79f9ca96168263c40d0020b92e", "8175f126198c126f9708fa8a04f57af830fba6aa", "0471eb1882bb7f538b40a0f76c7073992e7bf213", "907fbe706ec14101978a63c6252e0d75e657e8dd", "847705c7d5be33efd424299b0cda9287e439e688", "3e43f0171fca7a36c7fed8c736787a1366e4f410", "79815f31f42708fd59da345f8fa79f635a070730", "442ee5a3f51ca93a642c20fa69326f3b17367565", "a7e5a46e47dd21cc9347b913dd3dde2f0ad832ed", "d1697250de6f91d3a3266c1ff0fdce0bf96acfe3", "472c8606e68b34f4cc796a11963155fe3c6bfaec", "7695ad05116bfdf9a6d106b3ea356a37d41a7c0a", "ea94d834f912f092618d030f080de8395fe39b3f", "7da7678882d06a1f93636f58fe89635da5b1dd0c", "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "de60ee528db713d264ffea870b33f8be054fb8c7", "2d6d4899c892346a9bc8902481212d7553f1bda4", "43a2c871450ba4d8888e8692aa98cb10e861ea71", "0005a23c0db792ac9d0f5d408c39240ffe4c1d57", "e0f828376631b362aa550246c73d85e354126fed", "2829c069ff0e6b6e8bcb904c2ba61279434f7980", "65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45", "42f422a9a67ba71a9ac699205940d8cc2dca8317", "9557da53ddb8a122281f92a17a2a816acde1b3d8", "2a417a16473e2bcb1c98cd7814bc106760925e60", "d87ccfc42cf6a72821d357aab0990e946918350b", "d49fe11667eaaa8d52d149c7521f6705162642f5", "c86afba9c77a9b1085ccc6c44c36fa3a1fdb51c5", "ef2665a91921035b39a81e5a7c150a6dddf7dbef", "36771d5b865a2a3b2a1b76f199298375d53927fa", "e459158c2217904d5fe9a409896bd49622f17ebe", "82821e227683d66543a303f4faddc1376a91a463", "84e9de36dd7915f9334db5cc1fe567e17d717495", "f00dd1f092ad93d659070a8e77f00b5902ec74b4", "02a97d3cd6c57636ef6f1bb9e3171e832ff8d307", "6fe99c4969c2f2d3dde8ada84e7388d74eaf0528", "4d91926b9291fd4542547f5e974be8c82cf6c822", "0217fb2a54a4f324ddf82babc6ec6692a3f6194f", "471908e99d6965f0f6d249c9cd013485dc2b21df", "c8855bebdaa985dfc4c1a07e5f74a0e29787e47e", "822502df38f9b242a939e0ca19dd4e197690ef2f", "2b852a4e5026ab962050a0ef23a6892e06abb152", "486ee9d420fd1eba1006221d3d61931563bc4115", "6a20f975eb253503bba46a421275d46cf74ee1b9", "d309b1b2d8b6667fac99f83bde278ceb33e0f3dd", "4a57999570a812795a93a6f9395058f575a0e531", "4ed0be0b5d67cff63461ba79f2a7928d652cf310", "13b44d1040bf8fc1edb9de23f50af1f324e63697", "e21c45b14d75545d40ed07896f26ec6f766f6a4b", "dcda558e15e309d8e3158bf2cf8e921cdb59cf5f", "5b16f0870546cd57a934f2ee039136a09abb96b9", "1ac85387b1d5a05f752ddf671763f02e923a2a03", "76ec5c774bb3fd04f9e68864a411286536a544c5", "ba60b642a558858325f50d38a345b6bb85114ce1", "04d09bed8b05ed10d25c1cc2ab47381b0ee34c2f", "1bf0c7bb20266e307b122bf785eeb76163bcef07", "b362b812ececef21100d7a702447fcf5ab6d4715", "4539582f25f4316c1655fbb308ee8a5b11649e38", "f086144001353de3ddc5cd3124be18ee0a116e17", "9dfe94243788a4bc992b1c8e933afcfef94ce467", "21011f38e721e74c3979ec6f3426aec811423640", "33150902d90e9e5917418da0e91c05d062fa8e05", "8dbf8f3ccf67500b1bfa5cec7225801bcf5cd1be", "9d7edd114f788763bb16280249fae97c4aa2c102", "6a7efb6f3471a2aff702d5e8080e066636335de4", "bea185a15d5df7bbfce83bc684c316412703efbb", "8681d139d86266642ff5008da05a1b30489fa29f", "6099fa74d68a9b05a57b9bcebf832db243e3680f", "3bf154166f149669ae6bbb2c265c6ced4992f3d4", "b0103d264f756144f8acc1994f2327699e280652", "57932806423204b445bac4abeaede97edb90fa03", "ab3b196c5386f7ec2d05870eeb8872c8b8e33d77", "501bc80334fd6e429d6fa2da7c81ecb1f03580b6", "c8a5c5c8e1293b7e877a848b7a9e5426c5400651", "af6af58ba12920762638e1d0b8310a0d9961b7be", "325723a7fa69f9976feeab5ba9abd3c11e3f7c80", "e3a7fca5f94d85814b600e870b90259eefedaf6e", "7d8b1aab662186af200ba581573809452c9c2584", "c58b7466f2855ffdcff1bebfad6b6a027b8c5ee1", "744fe47157477235032f7bb3777800f9f2f45e52", "98aa23924e224f6e6cab043fa363f10f4d473c7d", "09879f7956dddc2a9328f5c1472feeb8402bcbcf", "b23254b32e36e7d9782b7a076d6ad7b475d56c45", "14a022a3eb8cc9681b1ab075650d462788de1fa0", "9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0", "c82a9763fb0b84eafa59a2733e944ca092f42087", "eb72dcf0ba423d0e12d63cd7881f2ac5dfda7984", "e68ef9597613cd2b6cf76e81c13eb061ee468485", "42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4", "20d17ffeb8adcbbe7cfe7b73cc998a1d20a91553", "79fc3c10ce0d0f48b25c8cf460048087c97e2e90", "353f8f0eaa81a5a34078024c72bb1c255237687a", "f6b9c16ff73e019ecf8fcae860b68bf3447254a6", "b8b2acc7e5bd94651c8bb025b6311c108c7a7d37", "64eebdafe5614e7271207047ce28a9c596a4d6e6", "d0256c9431a18694c33bf0c6a8e0c48ff0614d28", "3144c9b3bedb6e3895dcd36998bcb0903271841d", "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "96e77135e745385e87fdd0f7ced951bf1fe9a756", "2b286ed9f36240e1d11b585d65133db84b52122c", "31182c5ffc8c5d8772b6db01ec98144cd6e4e897", "5efdf48ca56b78e34dc2f2f0ce107a25793d3fc2", "98b54eb04e531c34a20320e19b55f6721bd0d651", "829ddf932d7164ebc915095a4a94471049825410", "98142103c311b67eeca12127aad9229d56b4a9ff", "9b2b7e1153638286305c12dee2aba8d3bbd22a1d", "2cf5f2091f9c2d9ab97086756c47cd11522a6ef3", "e853484dc585bed4b0ed0c5eb4bc6d9d93a16211", "0a85afebaa19c80fddb660110a4352fd22eb2801", "26d407b911d1234e8e3601e586b49316f0818c95", "1be10b1f05fe7a5dd28cbb63d61a992c5d9b611a", "0310d31020ae59bf3d6ac61b6206dfc0e79b4efe", "aff69fb91d8bbebe989703f35ff86d5becef8c89", "969c4d89d7b22b36d8fc569156ca6e040b31565d", "9c09b9410da8b1c5f0e3f6b65502160734214782", "17f8f5fe7a6730ee8d735d055ccc12231aff4435", "bb31312a7f07486676cae4f7a2ad7da43b0700e2", "99f9a3437fbdc3ca7a54d4c9eb6973334f50f51f", "5a677694e23fc36c08e3752e9428fb2b90ab0397", "90bd4e3c4d579b8d917439ee365257c5a7f840cc", "50c89813eab745dc170bf440cba869d3999a2827", "04be04189fe77a3bbd108b8c0ef78d63b0bd5118", "239323312b22934a31f946bfa496ad9a144c2483", "9c87036509db08781d442567895f24ea38933912", "06c08bde10f691fdc0c02827b669d8134ecaf1cc", "172cd5d213cefd99e93039eaf3d8824b3ba203e4", "fa7377104d6246a38e432c95e2179e53c2678fd0", "ea9857a5e5c72d435054a5a73e50dafb755a2597", "1cc902dc999103c8ed27559affa5cdaed6fc2c38", "2ad0ee93d029e790ebb50574f403a09854b65b7e", "c78dfcc119e5a88ca5f4ce6787b2e99cd1e350b8", "09fb440dd2daf2b93e36dd5df93950f0f3bda685", "209ac2bac0f4235bea01216a987d87d9380260c7", "3327e21b46434f6441018922ef31bddba6cc8176", "d31af74425719a3840b496b7932e0887b35e9e0d", "0135747b4d3c9a2d983f7d0d9f4c39e094825149", "817178917e77f55ffa8d918833c0a667b32130f8", "43bf6489abd63992b82f2008b4417a1638955f0c", "334f267ed3bfd29febf3739caca3539374de9055", "fe88308887b5acef8d7853be42ec46558d613e77", "13ac93950986fc023d45e9647197d80b86fa4867", "0e4c87100aa7f585ccd969aa71dd5dfdf26e732d", "7713517d7b38daba56ca5da62e2a9c35ec39008c", "3581984f6250fbbc550f2d931fb201763bcd08f2", "358ad3d1a9cda69d35a841edb8f819c69056f588", "f39fc7c420277616eea29754d0d367297c6f02c1", "588041c603e5ce1cc8d3cfeae702a3439768ae0c", "f15b8efe8b9511207bb1261e218a54bcfa20349b", "8e36255da222c01a880c9b88d61f139f7bdba62f", "fd9ab411dc6258763c95b7741e3d51adf5504040", "83bbc84e2d42fa037a5cbb9b03e60141208e5b22", "746433b148d25bfbae9ecbc94e8db72580208546", "6f9c7a5d99a33c25ee384f760108e07f5923ccee", "88590857138505ee524f3adf6da9c57352d917f2", "fcbfb2744874fa709d72f6dfe37a1202789b1649", "4934fd234db9a095e51d36e738e706886d1dfa0a", "5be1f85e1f1b9e3f6807c69df1cadf44c3d9a2db", "b2bbd23cda05b17c0311325227cf7dfa1ef995aa", "fb084b1fe52017b3898c871514cffcc2bdb40b73", "886bd160dc8e7ae213940e2bdbd16cc990a56b46", "5d494e5517a25365fe204eaae3c3247f7e57260e", "e69ac130e3c7267cce5e1e3d9508ff76eb0e0eef", "815069f591122aa7b388615f944c17c7fa1eff14", "a9af0dc1e7a724464d4b9d174c9cf2441e34d487", "0f22b89341d162a7a0ebaa3c622d9731e5551064", "3bcdb430b373fc0fafec93bdcd8125db338b20e4", "312a261d15bf3f3ae5187069aed5bd2821f881bf", "24977d59a5de4eb597347bef00f0c097a641a8dd", "80840df0802399838fe5725cce829e1b417d7a2e", "74cec83ee694b5d0e07d5d0bacd0aa48a80776aa", "cd1349619415202e82475353e2b2a60da2e5bd65", "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "72e417b8cb4912c0aa991de75153c3f732ab447d", "68d1c9d5cf3c4530171d1e88fee777592e00e1f2", "2cc2c2421963a2d303dfe1f7b87e70973a587a32", "810baa46ed829553bdb478dad2782cef2278ca60", "1602475fdbcb700f10d17c3c3e80ea92c9ba2c44", "3210666306517c4ef9a4c1a4463c728b0e3aeb72", "9057044c0347fb9798a9b552910a9aff150385db", "38d8cf143e64e013b6b9eb3ea73957c3b2ffbee9", "b69dc4972605ad0dfebc8c75bec6333588276b1d", "3818db72031038e39dc7a4a6f76b8d26ad91e53e", "1bd6c1b3976e480883b77a962824854b8b9d4816", "19666b9eefcbf764df7c1f5b6938031bcf777191", "f510071fd7fdc6926e3958ebb85518bcfea17f89", "8536fd81b568b2c9e567adad83be3a048664ade6", "1cb7936b82112de51c9e3b885735d6c81e86e1a0", "4883baacb405dad3635a5e564b68f3190140c79c", "51082f012c050dd8fa872962f93c5407a94f6daa", "a513977bcd8cecd2ed1836bf91b31a80a1ebe27b", "1fe990ca6df273de10583860933d106298655ec8", "b19e83eda4a602abc5a8ef57467c5f47f493848d", "90a70b38c5a1b40ac16e18628a7772923cdc5cb5", "a6f4fcee61855c3ebc11534646db619847ea902b", "b0d607d5e9e79540c9f2673f2224b2d51be3393c", "5b5252addfef181c8a44043664050473dd01e14d", "4843c1873bd36b4702ee22b25e09b244849564a0", "000115f877c3a3fc77736afe620a22500188f3a5", "e37a1c3590bbc670210b77ad44772c852d483672", "09fded4954d2df2ccabf5812a0cf5040e627a312", "12727bb8a4a1462553a13a253a97c2569cbcba0a", "f6fa97fbfa07691bc9ff28caf93d0998a767a5c1", "fa4b5f663d5d600e5ae3cb85ba1d080ab1721add", "de309a1d10f819d69a4ef2c26d968d3b287c3dd5", "4a6fcf714f663618657effc341ae5961784504c7", "9d5ec256ee5a6ee2d9602f651e88132f2669f690", "3fa88f10b3b357b2541ec1ace41f238e09718242", "f66a93565b73299cb726b58fe2866d30e34f94c2", "2564920d6976be68bb22e299b0b8098090bbf259", "5a0ae814be58d319dfc9fd98b058a2476801201c", "ad9ba7eade9d4299159512d6d5d07d7d3d26ae58", "4ce68170f85560942ee51465e593b16560f9c580", "f149a23d65aab507dbd04eb5c484b8cd76fbb66e", "309e5ae1554d2afc3b94eaea66b8f31ba85c434a", "1bc23c771688109bed9fd295ce82d7e702726327", "5bdb6ad866f52a3fa439e81a88b11d7a78904b07", "892d47a6e46fb95def22bf4c21a79548457e045e", "9b14225c6ff8ef043866775165eeb6473f9fbcb8", "9ed4fb4f25ceadcc489305f766f26812077ca151", "42df75080e14d32332b39ee5d91e83da8a914e34", "519f4eb5fe15a25a46f1a49e2632b12a3b18c94d", "01379c50c392c104694ccb871a4b6a36d514f102", "58d080c29764eec7c58682d7c7aa74fd3a2c6456", "83e96ed8a4663edaa3a5ca90b7ce75a1bb595b05", "5996e84f482b7335cdb08ca218d450d37501e182", "ec440ffc63baa8d150a49c678d99321ad2455c14", "4040fcb0678f3f138136ad373b4befe89e765fd5", "d8214e68bc7af0e24558fd9e79b2d777e46f2edc", "dca13f5fba4a93039958abc7ef94ced7e16e5361", "33792bb27ef392973e951ca5a5a3be4a22a0d0c6", "2254930afe019a0d10c9c0d8e11af8897ec77fa1", "cd2221518485f829d3fad81e33ef4033ffa66f75", "df413247bea63b75214496d2d2eb2802f74e79a6", "1623b36a5e516dc9fff9c9dbd8101845eba5951a", "0d06b3a4132d8a2effed115a89617e0a702c957a", "294cc3d492a38f7a6886d55009286efdfb04395d", "035d72b687247d8675e05538d4d0bc9ea4abda47", "bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53", "4f42346ad17a4e05bac7a4b3f96480900bd00999", "72aa01cc6dbadc631407b4d2d0addec172dc5037", "dca6ce475f6c2496a5f87e853d18e4b37fb27fb2", "fd60166c2619c0db5e5159a3dfe9068aa4f1b32f", "d40828fc94806d2941162f8e8118429a799fd3a4", "e029d87365f706193e02c2fbdbe6dee97eb796a9", "b8a853be273b6c326e599a2cc031460f56b73d86", "3f7c4fb00be2124fe8e2e9d48caf86265b6471b7", "5e4fb9b216657cbed1125b3be359ee482168c3e3", "7e79c3a92f60c55a6970f89acfa152bcf74823e0", "09138ad5ad1aeef381f825481d1b4f6b345c438c", "684ffa16d86d82688edf52cc2e80b4021607b360", "ad0dbdd4b0eecf16cd93f8f1f261874f5830f64c", "072db5ba5b375d439ba6dbb6427c63cd7da6e940", "2488e73f347e56a165369c5d7999f73a21283e20", "6bac4add406bf0cc30f9e1a7d8a87282dedc7f23", "520d586b50ecaa9753f714c6e76e6b819663d1a4", "6da3ff4250103369f4a6a39c8fb982438a97525c", "ee04c6c9c672fedf39f601a466f64a98541cbe19", "6847a733a907eb215abd466e5bdf0b57bdec4cf2", "783f3fccde99931bb900dce91357a6268afecc52", "7d8141fd805da71af51205b9218e0768e9371188", "468c97bdfb67614d458ba63eee04756add5631b3", "edbb8cce0b813d3291cae4088914ad3199736aa0", "84ce5efc0d190011cbe3f62fb3532a31a50fe0d7", "8ea56e4697430d1dbc728bad5a6e8ebafcced835", "b84f164dbccb16da75a61323adaca730f528edde", "427762b51ce1a21b5405d581a8ca2bf950163e32", "642f19468ecf21cf97227b0d50fc1098afb37140", "f1d7f33d0f769c2bf7ee91fcb266579d3677bbad", "fc64f43cdcf4898b15ddce8b441d2ab9daa324f0", "0760b9375db1505e9b9c182e98bb9579dd9197af", "0ff94e25a8ff3bd5c98899684d0885423fbe4f91", "e4cbe39daed8700a1d6f4a25a3a98645c4f231d0", "29d414bfde0dfb1478b2bdf67617597dd2d57fc6", "2b0d14dbd079b3d78631117b1304d6c1579e1940", "1b5875dbebc76fec87e72cee7a5263d325a77376", "f6ce34d6e4e445cc2c8a9b8ba624e971dd4144ca", "3be95fe3e701420b8be1c71c1eaf7347cc27eca5", "c4a024d73902462275879fa6133bff22134fcc7e", "1ff057f2fb8258bd5359cded950a3627bd8ee1f4", "12f60ce286d625f91e56db29a82923f004875cd7", "0af3c97068638ec2b79b93ff8b3fde9bd999f153", "af657fade7bd78d9916bbf4305bee7170121d8ac", "b9fb66f09b358a4ce167b54eed8c596772a392d9", "9cc43e3a756485b78b991605f44eec9be3530350", "5e832ea5328cdcc9b4346458672ad8288a56c0a7", "255971561c250d1ccee1402397586d2c7d0cd545", "a88640045d13fc0207ac816b0bb532e42bcccf36", "638f419126cb7e2a97bbb092ef2791b4d18801ea", "1a862270ad9168e3bf5471bda2793c32d4043aa4", "3b5d3e38690b4d76f77bbf90a45f17403d28857c", "e724c9a69613bef36f67ae7ed6850b1942918804", "48381007b85e8a3b74e5401b2dfc1a5dfc897622", "31ea778b6f5c9c2653eb2bed307ac7b02bcc6894", "8c81705e5e4a1e2068a5bd518adc6955d49ae434", "442cc39db208a66acf3acc22589b13981bb303fd", "9dbae72418fbd5717fe750f1da442e10527519af", "6500d612b1391e5b02372cd45c7ea6143528c15c", "5abaaf9c222398caea40d62e45b81a847436b784", "28525f9bb0797fdf7c0a8a9d1666015c60610077", "7f1078a2ebfa23a58adb050084d9034bd48a8a99", "0ca66283f4fb7dbc682f789fcf6d6732006befd5", "5fcaa87dbde0c4ac437a6b674843927c70f76a78", "d9c0489d0c2baa8be219b2bde51364461b53ccab", "1ff9954aa15e0be174a205293766ac52b47ebed0", "794d344d6aa97e3cb67a44739207aa9c1360db8d", "266bf8847801ff302c6f91f899f36269807317ee", "24c7554823bb8c1c0729c4ece5f3e50965aea74e", "4b1abc5b52db2ba854101b137d1fe3aed9e21274", "966d22958b3738cd73d93a03c1c704a72ad470eb", "fb62fae47f2ccef2e11eefb112765cdbbe4f0400", "5d09d5257139b563bd3149cfd5e6f9eae3c34776", "d3be8849ebecd40060644d63c4b3d4e2dc555315", "3f17078de8d62246d2d28428d0d89a98a6652a29", "0390e80ffde8a6e6cd544c6b91b19ec747c73637", "48dcf45a1e38adbb9826594f7ffaa5e95ef78395", "a53f988d16f5828c961553e8efd38fed15e70bcc", "5834555d239c27369e7a4167bb0c0fed725d761e", "aef8456577768f2ff029107149c9c6713e8707f6", "75d7ba926ef1cc2adab6c5019afbb2f69a5ca27d", "01a8c7335f0d9321c95d6a57f2dd9f128735f1d7", "a3bf6129d1ae136709063a5639eafd8018f50feb", "a7ec294373ccc0598cbb0bbb6340c4e56fe5d979", "37c8903b087629d66ce3763b0176e9b424f7f106", "7bef608d7eb5ab26856de62a681a1503720e4e9c", "471bef061653366ba66a7ac4f29268e8444f146e", "202d8d93b7b747cdbd6e24e5a919640f8d16298a", "19fed85436eff43e60b9476e3d8742dfedba6384", "9904026bcc39ff435b2ce8f5b1e80d735339ac5f", "50c919fe195775af1982d2fa8fd4f9d8c2f5cfe8", "bd14bfd765b15425c76f6fd4e83968f9f1097202", "b2ff5762f7b68ca9d947a374cf3d87e85fc7e752", "da0ae07cafd76210fed537e4a776cb52b3c50174", "1e57ace361b941d9d210e59a9bbac7697b6bcff5", "e96cef8732f3021080c362126518455562606f2d", "b9d81aee3d1a3d8cc64c70d2185e6c27b94f8f66", "ba0ac513d656eef49666ea2231b516bab286661b", "eff229d281e9f572555952314cb0f4ca0ea91844", "2220d18368ab2fe730b27525aec94f9a819d13cd", "37e35bfa93089930788bbb3eff3d7386906d05cd", "2792e5d569b94406ca28f86c9999f569a3d60c6d", "1dae2f492d3ca2351349a73df6ee8a99b05ffc30", "c6df59e1d77d84f418666235979cbce6d400d3ca", "6bdfd62ae9eb026dbc37f6f2db897fbee5cf8a5d", "fb3d3fae626ed54c0c5899c97a82215befb3df58", "c1fd7ca74cf162e0e0da4dd06105f9755dda4f50", "7eb8b748154167e8c8ef1e61b24e5369e057b03e", "9babe1957e56fadebb32a64338d54fce794c7094", "bd0265ba7f391dc3df9059da3f487f7ef17144df", "3965ff8cee7e1542740d9ba5096ace33fc2f4980", "c6d71294962a74492ef190f6d4d33c068f324953", "69064c7b349bf6e7f4a802f4fd0da676c1bd1d8b", "3cfc8c00d390abe5f94ba7a1251e085a794b35bb", "8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd", "2bdadae8c95f365bb1477c91a38857d2fb413ef5", "9ded6abf76768305ffc9649c39b168656b61f714", "fe11881b6a395f20a7881b40e474cc10ca1d2996", "e1449be4951ba7519945cd1ad50656c3516113da", "5fd39d09b0011d596ebeff63ad6fd5753da6f75d", "55f669d7def736aa2f9454a8645cadc55df9ad87", "acacbe3b89f23a5d4cbcfbf8bfc3424026ed5bc9", "8106f23890cfd7c7e3d023a3f9acabbfca36c7ef", "3294e27356c3b1063595885a6d731d625b15505a", "9606b1c88b891d433927b1f841dce44b8d3af066", "b732393cd3877f7e6d3cf3ca033a42415bd6db56", "b86019811a09a9ffeb73c4e3fb5285587f449aa9", "9447367e4ba6a720ead70a40ac6deceeae478940", "d36950f7ac378a3dbcdd65ee67382a22fa83688f", "580054294ca761500ada71f7d5a78acb0e622f19", "1e8e3a954762f58501b970928071ed1b58b4fe40", "8871ba2354e93b6d9b04b5d2f7582a5ff0888a7d", "32eeba2ff1ef4259de7802c8ee8cecb6d6c581a3", "db671f0ea4d13ee81d3678ea43bde0cbbe7ca66b", "d12d2f87517e3d63d62599a72752445819320c03", "06518858bd99cddf9bc9200fac5311fc29ac33b4", "24e42e6889314099549583c7e19b1cb4cc995226", "30c5d2ec584e7b8273af6915aab420fc23ff2761", "61329bc767152f01aa502989abc854b53047e52c", "a566780ffbaf2e1ee88a821be4d0ffade934c518", "4c9261b1edda6b21c47412df3069145ecf495565", "27f9b43737e234cefb3c5cd72324a36cbe61ee3c", "3a2f235fa82b41aee2a45194c1b159f777abffe0", "14fa27234fa2112014eda23da16af606db7f3637", "735be89c989ab7819e2f640960a8895e79913e21", "34f9b561885198d3eaf8de2b6441d0a8aaeb9efa", "b04d06b737bc8e9543d5ac6a1afa33aaeb3619c0", "3035bcbad93767570d444c136f4036f357648d60", "17dcd3df2bc6e7c654ba412b2ce14c79f337f47d", "37a23e76674e606ce779131d2c93496e8a53bb2f", "2be0ab87dc8f4005c37c523f712dd033c0685827", "a9ebeca46445b8af728118b05e56d95d4985000c", "916fbe5e8bec5e7757eeb9d452385db320204ee0", "04a38470fe72ec113639749a2af5ff9024e62266", "67865e222e679806c9fb24472633eb96adca92f5", "13aac86217231a7d118ecdff444ee07234fcff50", "749ce4f00b0425376a884666d2f79e8c5191bea4", "170aa0f16cd655fdd4d087f5e9c99518949a1b5c", "66810438bfb52367e3f6f62c24f5bc127cf92e56", "fb7bf10cbc583db5d5eee945aa633fcb968e01ad", "2d45911a4f3cad91ef5374720b5ff90efd8bc3a9", "22e121a8dea49e3042de305574356477ecacadda", "08de380a16259134da084ba859346d18a225dd00", "2fde9f3cb021bb5c958a65d5a29ba998e1cc8c17", "081287dfe5980783510fc29ccb34008eae89f4f5", "2d709edbe61a8616bef2a1f45c4d777b4ac1e96c", "adaf2b138094981edd615dbfc4b7787693dbc396", "3e6613d86fd9c814afe056838a75e89cc025224d", "9378ead3a09bc9f89fb711e2746facf399dd942e", "0e82489bd928af59b0e05eeea3e1ef952d9cb4db", "3c6e28b3183e2786ac2004616e1190d2853cf40b", "1a1a60fd4dc88a14c016b95789385801c6b80574", "5a8a4b0ec264e0959f0c1effcb9de4a74cf6b148", "392245913bf63c8a9f44881628f8f3f587e08189", "0233c06139127a83e645bdb14f11674ed610c72c", "5dcf78de4d3d867d0fd4a3105f0defae2234b9cb", "593d191fbffa8aa54f78d387d24136f384bd4dab", "a3fe3e6e86eacbbc456152022af2c1a0c0c82f51", "65a7aeff98fce04157f76a5fe6ad5ec10fc88e7c", "119bca48c83538c06e4989cbbd9e7d079033ba2c", "f07449375fba8e786966733b2f092ac25e103ae8", "b0f59b71f86f18495b9f4de7c5dbbebed4ae1607", "741109fea9da1102ea59af39aa44e8846c966151", "871e5c0f69fab2bf331420a038f2beb0e000276d", "e2c09f29ac989a40a7cf8a24b44db7281a188758", "bd9834c57903db8d0095a92e9569317e5478cbbd", "c09cd44a4413de704bd74d825ca435b742b73ded", "ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9", "5167e16b53283be5587659ea8eaa3b8ef3fddd33", "3c09d15b3e78f38618b60388ec9402e616fc6f8e", "e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6", "753a277c1632dd61233c488cc55d648de3caaaa3", "85e8c103614cd330596c5d3eb69eb18dcf941435", "be02c2ea2b54d8fa30e2528f91a801ecf9f2185c", "4914f51bc2f5a35c0d15924e39a51975c53f9753", "0f533bc9fdfb75a3680d71c84f906bbd59ee48f1", "f0dce694bd71e46e5b84512f06de046f83a8096e", "887a1f28c52ec9a1cea0d8a68a82d0a04b3a0e25", "73134cc8ab3cda6eeb7ac870ddf8d32430c48710", "2d7ce5b7e86845ddc2ecc05c2095445df264bb48", "38c7eb0fc56e0d041c3f026e581cc0a5e4ad8736", "0dc2fdf1b97c76de1e7380e8126f8acc7d87e23a", "897a5407c110dd4582fcdfd63696192dfd912e20", "b92e9e26205840586430ddc03e042e85efc6c680", "6d0d29e6660eb0fb8b2c1245ae953394e2e333c0", "97db1cf65b4583937b0899635b9e0f7d36bcebfa", "5304cd17f9d6391bf31276e4419100f17d4423b2", "8121824f4598d600e4cdb745cd2715e4655c9e88", "24e347ea064b80ef927483f40d661bb94e756e26", "a62997208fec1b2fbca6557198eb7bc9340b2409", "a81d3be2fecbfdff8ed1d04dc6659fd7143d9cd2", "aea7391a521dae31a4af4cc7ddfbd3c63c9e3902", "f9b6242f8e9d5f7f9e31214444290f812889f946", "423be52973dab29c31a845ea54c9050aba0d650a", "d8162cbb4d2e00340c0fe3525f8894bd71be79d2", "8e6957334ab60111fd7e2ae59b008a745223aabe", "0ad4a9fad873e9c4914fd2464404b211f295d7b6", "f16e931dbe640660562e903c71f2676144a327b7", "d53c66005a00207fd75845210ef4bb7b4dc290b0", "8d152057cdc4eb0da992483e120fccce13075651", "3ce8b89c34a3d22659e65305a36cfa4685643d93", "01b5d63b60bcc35aa8bead42ea52a517f879bfc9", "9983cb9a683f30df0452003cf3068895e4961996", "76d955e83b1d64de95f37336322cbbca0019e3b2", "3fb054dbdff35b7ac3940c167e7292c7646e1ad9", "281b91c35a1af97b1405bc724a04e2be6e24971b", "70b742e0c65388c176d21e9f48aec00f4a5cb9ff", "3514140d9c2e692abed0aebe0531f78c250f5806", "c0e5a471179d2d8c7025febe77a90c3a99c7c9fa", "199fdc3c0b73d9469d2e732c97e889bfc8bf8bff", "120c85cf69ea656b02262b4bc5761117fe35674e", "becd5fd62f6301226b8e150e1a5ec3180f748ff8", "1b90507f02967ff143fce993a5abbfba173b1ed0", "1ea4347def5868c622d7ce57cbe171fa68207e2b", "40a5b32e261dc5ccc1b5df5d5338b7d3fe10370d", "75113a9e6a065e25cff08de01b7893825eb58641", "2a4b693127a28a2c56914bd2e5b99ea0f0883176", "23b48110cead14510ebb22dc388324466fd56c95", "20daf06cea3dbc0b92f7ba4adb8fe7d95d27455e", "2ee1ba1c3d4797fdae46d3d5f01db7ef5903dadd", "052c5ef6b20bf3e88bc955b6b2e86571be08ba64", "5ca50e0cad9b066dab61644e3cb6be773c9d6136", "838dad9d1d68d29be280d92e69410eaac40084bc", "21c497b761f0bc4c8e89af2544807f6266457b07", "2502cdfb39474bf14407c2f6a1a4663d83d4bc0d", "8c1a6265c148c454018749b0dd614bfd8eb18d14", "69d29012d17cdf0a2e59546ccbbe46fa49afcd68", "59f325e63f21b95d2b4e2700c461f0136aecc171", "d570e0dd72b8488388218793a7301c8abf14dda1", "9454399b92939a650f6cc967d129a71c9ffbb59c", "34c594abba9bb7e5813cfae830e2c4db78cf138c", "d040475eecdbfe361efdfc900d1cfd8671694fae", "34b42bcf84d79e30e26413f1589a9cf4b37076f9", "344449bc9491e7e8e2e45193e71c9a7219c094d4", "0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d", "2243752f527b502b848fb1385ab3bfbe8f57e135", "dbf2d2ca28582031be6d16519ab887248f5e8ad8", "79bd7fd2b40aadea84bced07f813ffc28c88bc85", "14f639a4c49280a4886f9590402d7651b1b042a4", "e5462299c4783d16d88d0143731902e835fcc615", "108d44bee37d4190883a268274ff78a8fd20de54", "1c1aa29b709370f78cc485b14c18b89a53229b62", "55249d73df3c38aca08f45a60ff54d9ac8b678a0", "46a553e670027e838716e5a1a39577d7cd7a4893", "0601416ade6707c689b44a5bb67dab58d5c27814", "2a1deffc67ccb5f8ca5897ac3f31dac09af70f05", "ae97b4e528b8081a77eeaeebe85ceb83ff884191", "b72bcf94a483c48558fc68a0d36336e4453ceff5", "b9c9c7ef82f31614c4b9226e92ab45de4394c5f6", "92d6e4067acade472773ef94ec76e8586c4e256f", "f93750b355f4112abde2cdeb0efca6dcf76bd1ef", "12679cdcb4bc5e9c60a795c2418b40b5e1681652", "2860ceec62ec14b577fb747b1051193d7b6b98b5", "aeedc6b7f2ceaaf9d9cd8e327ca979128c1947e9", "5040f7f261872a30eec88788f98326395a44db03", "3c32db9eb8b2a95069b80a63ebe874f9526afbf6", "31dc87637fc68db9f7a2196c9a95331736a5bf61", "054b8f998b46660846e1b5001b5bfe70c2787397", "a3ccf7fa5c130c8bcd20cbcd356ad7a47cdd4296", "8820c003644f9073c6354bf3c82256f0ba7f97f1", "6d97276eeae0b9d42e08ee31a301837ab900467e", "5f0d4657eab4152a1785ee0a25b5b499cd1163ec", "ffb15a1aa50aee4b80d062a59b3a5e1245dcd83f", "3a92de0a4a0ef4f88e1647633f1fbb13cd6a3c95", "865e9346b05f14f9bf85c1522c5aebe85420a517", "da0b41c22e0918c99ba89a04eed4f8ed58cc1d66", "d0ae349512127ae384e45d877edde04523a74eeb", "e1773400a72bd7305a2c4f617b976c6f9b2d6662", "8c85ef961826575bc2c2f4da7784bc3bfcf8b188", "366ad07343e304ca3d04269d12bd49cd95f3f5c9", "4511e09ee26044cb46073a8c2f6e1e0fbabe33e8", "4ae3bf19b9e8e6fba4f8589a57a0c1336ca56141", "ba59052195901768cd8b0336d0c7cb4882ef642f", "a915feed51493490157e8211360d3bf53743e3c9", "ced7811f2b694e54e3d96ec5398e4b6afca67fc0", "217bb92e707c7ba3ac0f02079baddfcdd82432ab", "4dbfbe5fd96c9efc8c3c2fd54406b62979482678", "d1bd956a8523629ed4e2533b01272f22cea534c6", "9993af9505ecf16c337633506d8842253cdb1187", "907bb6c2b292e6db74fad5c0b7a7f1cc2a4d4224", "6253515390d484e4a13b69f4f5d495f5d5e9c0ba", "f9d2e8f2038fb2c7e088185c0f1e05b841d8b8ca", "261c3e30bae8b8bdc83541ffa9331b52fcf015e6", "2434ea848bfc5bbe77bdabe8fe346290a60e9537", "51c02f135d6c960b1141bde539059a279f9beb78", "c4b8da56721ff2e6cde29e8250cd4f71b37422fd", "ae05a5256cc9463fd3bd50931751aab805b7af77", "1b5d445741473ced3d4d33732c9c9225148ed4a1", "2751cab92020cf332f745536a04d71c3658c91e7", "9ec8eb9f290ce099165c5d0e672b70da1ce28803", "05fa2ff1a6020a34cb4e0515a24f5eddc9ea0dd9", "d3cd2102ab7c374ffab25eb4945592a00033893e", "4f5a8916e0f2c7563e917bac37f007f1f2eab937", "6fe4704e7648200aea1a109634f183d0207c2443", "125c267219955f1703b097d6c764e22b668059bf", "275b5091c50509cc8861e792e084ce07aa906549", "7c7551e47cda1822de672d7ed2e05b77572bc6cc", "8b8dd053aae04f000e8b9d38f7397d7f1a3b5e99", "1d924f61190b0495e2031f2bb365f9a7ab2ea9f6", "46e24761446ca5eddc4fb9ea51d846b6b2609499", "a93c3dc4efaa80382210f5f8395ac9b04a485f45", "8ffc2cf0403d0c760708aef41a5868c2c464cea2", "4d101c064323e4e72ca8d95d1b345c4328ed13ea", "391642ec5ade3579654a14c3644af6f086af0158", "4bb9c5f1ef1240486374f4f80d8f65921f74c1ad", "ec7a545ba99542b2b74340d2e863590e4f450bb7", "bdf5434648356ce22bdbf81d2951e4bb00228e4d", "3af6487da9a054f59beda393ae85718a1c5b200d", "96e7142ab905c54c033696ac3692e85692c43bf3", "01576b5fe525d8dee025fd3776337d74dacdf224", "6a8743973e24c39b33ff50e023447daecbd9f25c", "695b040a9550a46b5ffe31e4a6abbadfac02c1ad", "a42f7038aed61c45b12f1b2c505c89757bb461a1", "ca81213fdb06d88e349de743137de6969ad3315f", "04072a097a2ac6a0ee9132bb61bc95bd68bb0621", "c32cd207855e301e6d1d9ddd3633c949630c793a", "c39ef5554b9964f578572d403522380e95802650", "3748a828dabc6b5292b53cec6080cef33d78d3e3", "237316762470d72a02795a7f57de9279e9cda16a", "50076e679fcbb69cddd1e127165d87512d9b0616", "0149b14428de816bd62f80bbfd89238b765edaf7", "dbf100379671730692abb489d4aaa25f866ffaba", "6c5c48066d59b429d57633b8716f9d69b8abb812", "49b2545b8b9ed81cc547ec974e0b61d01b7bc759", "914382fdda66162bb8621703bb83d8d69b261e86", "8d8a7bddf8fa85e6a8995346eeb5c09107167632", "9c7032664c6902c5a936697b9bbc01f6446c58fa", "82cf87b569d3382edde1872c66b1992dbaeed71c", "d1864c668527825229828578cc857c9f5c1c684f", "8f2e83f6d70b9e161ad714fee79ed6d23ae2a93f", "59c9d416f7b3d33141cc94567925a447d0662d80", "63c022198cf9f084fe4a94aa6b240687f21d8b41", "3b47e618c5ceb1c16db7f709dd1cfe53d7417b54", "40012a8e480a1724cce1a71e2b8584332225492b", "29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea", "7b90d656fd658e0219563f8f5af3df2df3b11338", "9541e80b15ee3e1793f2caafc3502a6fd6947b24", "a656ed4aeb85e01827958935aa666466430547c6", "059bf35362d896dddd5ebcd5b1b93682efa9f46f", "cca228b47a603a9b9e2a1e3a1b278b35612d078d", "bbe949c06dc4872c7976950b655788555fe513b8", "a93ecf7b9780989c709714dde0f93f4d81eea640", "0c78445982c8c5fce2442b6611d2660696b9696a", "17370f848801871deeed22af152489e39b6e1454", "bc504105e6a79e347c4b46b4c767d42f365666aa", "89e23ad356db842dbc23446c062af2a0d735b096", "04adf2e51df06a03b6decf520b0952a54a538a18", "5b011cbd450bb859700bc6ff5e525ae1d2a4c521", "a993500f229ea4a4a3162fea2cbbec9ba2a5e404", "c0e0b878ec8c56679faccb3c3f5e2ae968182da5", "5cbc9bb8b7bf21b07e1eb868d718d132311bce90", "3d2c89676fcc9d64aaed38718146055152d22b39", "982fed5c11e76dfef766ad9ff081bfa25e62415a", "1b55e82aa07b9e0009627e1d44a52b37ee26e24d", "03104f9e0586e43611f648af1132064cadc5cc07", "57ec50237ee588d3b40640c4f98410cbd996ee84", "ae8cc8db9e05c79adad03da64a4a9ba0b00f4eb5", "2f4be1b5655df160c31cb132172922e0f440857c", "3fb5e637e95468d4fc133f78950e94db36e63610", "c9c1255057652584603945508b7151206e9e9069", "b73fdae232270404f96754329a1a18768974d3f6", "1462fea6c71be9c442f443488fc7c45e1840e9ed", "075bc988728788aa033b04dee1753ded711180ee", "fb7c85b71a4bc838a1698d72542cc4833fc83784", "1332421c4c2ccd7460ffd72d696a41bb2bd2db52", "a98c435e83bc71738ea215a329f49a26c2730255", "2ae6bcd37f5aecb84a9222331b80c84a3c65e05f", "09d7aa7d856e08ab07074364ffb2c19c2ec5022d", "599b7e1b4460c8ad77def2330ec76a2e0dfedb84", "4e4e8fc9bbee816e5c751d13f0d9218380d74b8f", "442d3aeca486de787de10bc41bfeb0b42c81803f", "30a4b4ef252cb509b58834e7c40862124c737b61", "3fb689c0f1db224d53d9fdaee578d3ff8522f807", "4aa1f51595a80d4c2db03e6a4ad407f71b35e6a0", "68c586e81f593904221598f7ababb97570dbfe63", "0afde5f49ea236fe5e79f3ec9a7e7e2f9a306b06", "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "57632f82553f34bce21cc8419bc5381d50096592", "fbbbbc8fe255191b14608c6d877d9330d35273ca", "40f06e5c052d34190832b8c963b462ade739cbf0", "b246d41b53db2243b4d7c3b811a92000fda1a69b", "48fea82b247641c79e1994f4ac24cad6b6275972", "712609494dd049b44ebfd82698b9305ef07f027b", "d411065a097587a9374dc5178e9f6f6c45b965a4", "fe8f3472982048290f8af9ada5d920a172d6c362", "047175fb23f6f152d86e81100ba7140dd2847636", "2be9144a1e66de127192b01907c862381f4011d1", "d58f1d2fc5ea941253ff71aac7683fd3909cc71f", "e7b4baafea8d34f8fe54d863b7418ac4f5b78da8", "bb131650627cf2d1da570589f6c540041df1ae92", "86d2bb930fd4fec5fbeff69d1990007f786b7959", "0e8a28511d8484ad220d3e8dde39220c74fab14b", "89ceaf90a5cd5b4ec15e8f15b2a3befd81dd5f2a", "4ede16d1aef065a975ae6f9761e623313aac7295", "5c11029cdf7876ca4507d27ea968a641ac64c031", "73be334ecc48751269443b0db2629086125e69f5", "c5313ab990b2a031e41304834b4bf486256aab96", "95dfbcac082aa68a8fa97099c4fd46834c43153a", "fe96f3b0d3280a359651411473ab43b6239434ba", "686e11f04e5be01894c0f4dc09e5d547378a69e3", "d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6", "7a91617ec959acedc5ec8b65e55b9490b76ab871", "d92caea118892a8911e643ca38460b5978bd1889", "b11e97d5a12046ded77bc4dc0f762ac3c34e65cb", "1b92fdffa3f87c1081e88c41b5fb0d7d31b3873e", "77a9b1856ebbc9a6170ee4c572a515d6db062cef", "9033ca38cc650a6dc8f7dca967712d1e98aeceef", "44ea7adc1182c1a95d7a7d91f9845065bd7f99ee", "8a23861d6d700ffa845dc85f2884355fa686ec37", "c5f22a01fc1abce01393d2e3ed4b8ed91b0e3b4c", "6f1278204ee89978cebdd9aced3d9c31c1ad40c0", "72fc4625f42e0b20962a26d203961bb116809de0", "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "564d4ee76c0511bc395dfc8ef8e3b3867fc34a6d", "4f0aedbd0b5cb5939449da41579c93b98048fcdc", "0a4fc9016aacae9cdf40663a75045b71e64a70c9", "e5bc052521aa8eb1e4813f00deab8dfa09f80874", "a012b41fc54060e11744db20ef6d191b290f1879", "60bfe2903ddbd90827b51791c3a004c60ec9997f", "73bf37452fdfaad39ee99e56850e3083eec4a4de", "0aa56fa873d27d9c83c001a6d0f7d1d3a7c901c8", "1244b267758b49978f3a093ba9a66e71ee4ac3e0", "31afdb6fa95ded37e5871587df38976fdb8c0d67", "22dabd4f092e7f3bdaf352edd925ecc59821e168", "868eb748db8bb5b366c6cae1d14f310767dd6016", "fca20ba6e116d8703c8c68bb855ec19e00fed2c6", "d94e77ee8da75691c19e4987369c546bec46354f", "0ef999f06955193aae575b2d00f00d136f546028", "38b8f80b05db035f1ba9eb2e76629ce937fc956c", "57727cc320992c503b8eef2817298f720a016f4f", "56e470c1a13fca16fc83937701f03fb74ecf2303", "226a5ff790b969593596a52b55b3718dcdd7bb7f", "028eb4f79eef3f136ad5e36930ae571df04cbe59", "3d9d1f8075ebdd03f86b4e40b9a5d08447ade8d3", "f3880d1067915bbbaa0c47a736f46f488185250e", "332d773b70f2f6fb725d49f314f57b8f8349a067", "0fdcfb4197136ced766d538b9f505729a15f0daf", "adaff7ff015b4be77e8c0bdb9d002b614d6e2851", "ac9dfbeb58d591b5aea13d13a83b1e23e7ef1fea", "efcedd5750f57f4c7f748783e91918e0f42da61f", "8b97c23b35c9dd031dd30c583e4f18191fefde62", "43d36a22629114e14a0952675e15c9c76f1f024c", "5a1669abdc4f958c589843cff2f4d83a11fe8007", "0241513eeb4320d7848364e9a7ef134a69cbfd55", "051aa14e0b7dd4231636db39398c0c15b2687682", "5720784b7e45693109b867992e3f93e4c747e536", "74e6110466306f41f703d84bb3d136ba414b1998", "3f67083cde69d50a47a5d6407389e7681872f861", "286eb053f55e45ad5d0490c1c18f6d80381dfb4b", "6c7a42b4f43b3a2f9b250f5803b697857b1444ac", "4c55ea9c04d46d60ec5789f4e4c3224c41360768", "4c50d612e64f08a269c996d5dbc71b19b887c493", "8e452379fda31744d4a4383fcb8a9eab6dbc4ae4", "6bc72ce9cc599e404046e12ee33a3145a3c5a3dc", "73f965d9b521117d35ff3ea7e71250ac5d8388a9", "5194a8acc87dd05a92a21f94fea966a2815f9b38", "63eefc775bcd8ccad343433fc7a1dd8e1e5ee796", "6daccf3d15c617873954bb75de26f6b6b0a42772", "047f6afa87f48de7e32e14229844d1587185ce45", "5bed2453a5b0c54a4a4a294f29c9658658a9881e", "106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9", "ad7f51b24f4325086b38b468e2057dd0a9725ccc", "9be5e52fe3977852ff719998e6dbc02a76478fcd", "c1091cc8049d18d8fb012309eb87b9531be469b6", "fce7c61dac242ddc992055a08a01e8b2d55f8a8f", "17dcf9db28b41fbfade10dc14f885b8de1b0c6ed", "4e729427f5cd4be22dad7bef0eb241e93497dbf4", "34db21e6275a013c2fc5d9f5147b91bdf05856ae", "b9cedd09bdae827dacb138d6b054449d5346caf1", "87f960948d6241700809105090aafaa680e5b6a4", "3ea0bc7cd58d4214d4ed20e8acfa76054f73654d", "e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d", "d8e5362a16914e779a135a5285775be49d60dccb", "c8279a389738f3011edc6e9ddfefb0410df380ef", "7a666a91a47da0d371a9ba288912673bcd5881e4", "2ad9a264cd44f42a5eb0f928ac78ba15e0d1cc18", "c390fb954a07ecee473e0704ac065875121f6137", "ae3c78acaa1b1422d5d01e073d850ed3ca13c664", "70674cdbaa43678a6b197df45fdce6ed33ca0ded", "c71f36c9376d444075de15b1102b4974481be84d", "e486b9142b64bd18220b9b730a4eb6fae1e5e669", "60a33bcfe4b40cf46772e6aa1ead10489e924847", "d97e7799142e2c66b63fe63bc52632fdf305f313", "94ffc269a89bd69b5e33aac26f457d68ec355f36", "0802c3e0c332abcc0175a609ac5d2d185ce024a7", "6a7ec333ccabd41b9d20f05c145b3377f6045f43", "657bea04a19eebecc4519030a26d6337d3e31840", "77967f001fbadab624318e79013df3abc95fa52c", "31e0303d98fd1bb6a1074d4fe0b14228e91b388b", "2cbe913aaf7657dc53c64f03fc0e20b62aa369d9", "8fe7354a92b4c74c22dc0a253dfe7320487d22ab", "26e1e0d35fd00c5350025ef78c9d1a987e74f396", "8f052851b96719f3ed0d8285baffad73f7244423", "5dc168fce0712bc5dee40aafc4404a1167aa78bc", "3283477ebd49488e1f3c78e6e828678ea2bb815b", "06625b0c5747ccb8524fec9f44e4a8aa1ecc2151", "865b552d0556f257e1bf3d4ba476199c2e802a27", "a2bcfba155c990f64ffb44c0a1bb53f994b68a15", "1ec73ee49e422b4509c016ce244822144c849089", "38308a4fc038611797a5193c6d3abb593a6a3a37", "6ca10c3af356f76ed37ecce7ec25c7ba79e9cbfb", "ed6003db58b67f1dfac654868b437efcef6e2ccb", "ff9e042cccbed7e350a25b7d806cd17fb79dfdf9", "ebaa909fdcb6f1629a7b5f6dfecb11d2fdd4549e", "a61933332a3ff7e748f001196f5c97b249963569", "293891d0c36f62fb739d6ddfdee1bd17fda73b74", "375e478acf62eede1cc69693c54d81aa718df9e7", "1cc3c5f242d885738e9349a91d4beba82ae106a6", "e1e3c82986453cbb3a6a41bafdbbedf02ff63ae9", "b5fd75f0f03a2762f436d59c5e8220c65b649178", "4f00f5fe9d762009f524fb97555088769b96328c", "9ff31462ae749d830fc8832f5808b2a82d747587", "7a7d9cf8a6e28da11b71057948975fd179ef34be", "b124116a533e58f342fe2547ee858c5e8f816fd1", "e5629a5a6d08848cfd3dadc23e2e28775fc43cb9", "3389fa2f292b72320f4554261eae34d57e2db7b6", "ce9450d0d6b1272bd2e6c52a2108d6839fe21d12", "ac21c8aceea6b9495574f8f9d916e571e2fc497f", "19d00c90674de88c093c367425bf6820f3a7ea35", "44b91268fbbf62e1d2ba1d5331ec7aedac30dbe8", "f52c80df4e1d465906a8be5bb0bc3fc5a0e147a6", "4461a1b70e461ec298d7066ba103deda48d4ba22", "121839d3254820b7017b07ef47acc89b975286a9", "e695b8ae49e905bdd240b8a6202ba97c97b12a7b", "1535c185a01c952237ee50788b8123d503a0dd25", "12e80b3a89bc021a6352840fb4552df842a6fe7d", "8f88bcf3b2e0fb9cb09240541d4b65bcdcd89826", "4b8049b6bdda55e5a17f9f748aeca2c63afa98ff", "5ea5d25b31cd59036859c9b9d54b76052fd6490a", "a8415394b782e45ac92a7d36f4af3cad47602b25", "816c8c8d0f02200f988625d4989a1b4b34d779c6", "72e51f8d989b4418974ca4f38c42ec10206eae0d", "5409d9ff06ad715ee6996e44c88f930b9dd074fa", "03c53fb96a9acd2ec6ba52a2497410f980793bfa", "f755d9b2b7ef66ffdf7504b34167b95d0685c18d", "4865174cb83bcad5011155c27ed6e09c50e46765", "a409d6853571de9bee5e22c6c0cc088e3bd2d2ac", "3c5aaf4053b12e802a6e17184aaf7d38d34dc3f0", "5272c134411c008dfbc4ce14f776ed18f83ee0b9", "b631f3c212aab45d73ddc119f1f7d00c3c502a72", "bafb8812817db7445fe0e1362410a372578ec1fc", "2a98b850139b911df5a336d6ebf33be7819ae122", "4e6fe1ba927fe81a6f4529ea27985cc9431ed357", "03cb9b73fec5af0c1142eb1356e842b70c854bb9", "235bebe7d0db37e6727dfa1246663be34027d96b", "0e57f5098993d15cb04335f9eaeb7203e7ce7b75", "5f4379b83102d1147876007e328e1b209e4b59af", "b27b507fa7b68897adab421d942395e98519cb21", "9995be96f645dba68e392028cc2c221643241cd9", "5173c7c29796b769df6fd4b7d25616d796ff8564", "227094e85ae30794d03f3cee426f40877ac2b11b", "aa1c73388a28f1d2c5b12134577644c9d577a54f", "dddd70fb2746a944e7428e2eb61ca06faff3fce9", "3d7a5d1fbec861542631fcb10f58e38f4f51a04c", "f4815fd002f8b81f9f842a05e888be96e50306d7", "08b25aa0cca422d3a896aa1fdd865a7e970666db", "609ff585468ad0faba704dde1a69edb9f847c201", "b932f131bc1ae2fcf2876610bb0a05d28518c773", "5b19a51a68a583074a5b0a4a08ebfc9b7df75103", "c6ccc6e1323bbed1479cb5cb0b75e5675b7cbe5b", "b2d3d880c37e0e5827ef0e14668b4d640aea394a", "340d1a9852747b03061e5358a8d12055136599b0", "f56e997d239c9176f45ae2352064700f31d5047c", "f68e2e2e420312c1371c816f7c0471d43073ecb1", "eef432868e85b95a7d9d9c7b8c461637052318ca", "fd04dbf62467a4df739c06bcfa78061ba2f985f0", "458713d5c1dd8ff95865302e51f0f8df22204d91", "0fdb6823669959cb709fdb3070e7e5efeebb046a", "7bf04c79f2659a404c9b9b91e0375e1450c3adbe", "5dbae8c58341d1f6e475ebd03aa6b8abbc9d149d", "88e093d90d0734b471ce2c1f58fa0ace6dec1101", "58dbdfdc229237e0ba23eb55653f670cdce459a1", "d9208c964bed4cc0055e313353c73fd00a60c412", "abfc26b65169f0487ffdb2124f375a4924e2a2ae", "faff8ca21ffbffcbc871f3a2f2f3938c7cff407b", "5f4c09cce4971e2d1c066cd344cb3cd807cf7331", "04bdbcd0d86b639f97ae6cfd46beca3f78c1d211", "7348d947c59ee3509b9a857823cb2f8513244cd2", "38b8f638490af5f2e3c2cc6dbfd855509ac969fb", "389db56845978baef0141b876774ea06cfb13e04", "2225e4767de57badabd41994a4891752502b3f33", "f6480efe44e9a59737c1223ff7413bb2727cedd6", "c0e921cd6ace720830c0b4552d717af2acabe7a0", "eadbad2a715bd1b0822ec3790c65765c61924549", "3cc288308ef3f24cf3524c59f4746ecb244a8cc0", "9d60210702f385f9761c83c0fac218e904955519", "e21702df3d0faf5615b358714b7b7392984d6883", "131130f105661a47e0ffb85c2fe21595785f948a", "ec75a1c846194cfb0fd202694390c55e24a27728", "e0638e0628021712ac76e3472663ccc17bd8838c", "f8148fd099c4f6ee2af2575a572f6a26ebc628b7", "3f9ca2526013e358cd8caeb66a3d7161f5507cbc", "2491203e3b268235ea0269f41dbebd113d2a1b0a", "d8b99eada922bd2ce4e20dc09c61a0e3cc640a62", "39b080aea9b342947058884ca25fb5bb1b8f6d66", "7870b08a65c815b49e554530c93936380833a325", "260d1662f5b236943d8944c3e00c9ba006050182", "336b2ae3e4db996538f930b754f7d233af56a628", "7fa41631cdef8f7fba7e1289dd4c5f3723b172ab", "4643c7440babac8b7790494f16979dcd3ffdd2d7", "9f5383ec6ee5e810679e4a7e0a3f153f0ed3bb73", "37faa075574e4abd323ff5ec85934464a5b93a83", "1540076e192ad448771f446c908db76249809d8e", "ed91762544810590cc7eb3b84aec0bcdbc206465", "a8c8b7360c45e25ed175828767424bf9690af322", "2a152dae1ba70d0cc605b0f7418392ed1a294a4a", "b2efe4ff983008e8e951ea4a277e3651ed863734", "e85fa1b3225ed2ab0f3c11879efc9d55aa996d2f", "4f4f920eb43399d8d05b42808e45b56bdd36a929", "6caa275cc502513550bde0a32416a3b32470161b", "b1c6182f7886b04393a557f368360fca2410ca4c", "cbd4713a000be4c0b47cf15036420b2d32b8d64b", "790aa543151312aef3f7102d64ea699a1d15cb29", "c82af405f945b99f59b324a1d07863d4998b0786", "abf5562757150545dfc1d6a552d84dcf766374ff", "49cfb17f3bedb0167a62b6441c6b490b18e5dab0", "97572483020c6a6daab9acba4845b87a3f47fb6e", "43f413567f533497242028bdbc369ab0e7f6577e", "9630109529870d142fde01341da05967484e906c", "acb4a2957e7131b442f87ac6e4fa2d3c1f31357e", "3c2819dae899559f1c61b3b34aeb5d41a6398440", "13a3b4f65a722c537912f698453028fec8197e13", "568988c7c3468b371928688a1414433809142079", "36665db54fa91a07211bd3904924427bed7f897b", "401f056e1017151018e83d2b13b5eaec573b4dbc", "c7ee0eca1a9af0a2ce31d5a745e49a638bd5d59b", "9d518344d5c7d889f9c90c6193be4757fa584770", "bc77cfa7ee1d16c9b97052130c90f824160129a7", "6c66d92fc116a787d39ca53134d23009c96b318d", "206fc605691939ae4e6398cb567352c2d1446bfc", "333e7ad7f915d8ee3bb43a93ea167d6026aa3c22", "5ef25b78dc947f1f4674da44945b050e3f4b9e17", "2986a47f45f9975691ce81e332f4c8acfad4ca3e", "abba22ed4713a5ee5fa91fcf7b8dde58a9b621db", "64c6c258b95a9f7c495fdf8ab5178c7cbe9bdec4", "51245ec3a3d21f4b560e624064087b4625d61bd7", "d7f76415d517e9105437372fd92eefde29e08af4", "4eef479499b6c3baa546b9070fa890e11ec432bc", "50765d4b5c9246c19f0839f887a7ab05c4757d39", "d3fe3dc407c8f4e38cc3d67dc9308156ea610d00", "906b93f519218d4ba2d1640a43fa53cc24531d4b", "db82f9101f64d396a86fc2bd05b352e433d88d02", "baf420613e00a42c1f5215085f74c4e69782e7ae", "845d7e0f5b477e62b484a7fd628e80651167d500", "9168b36568b8abffab5b9de029be5941f673dca2", "c0ed509333dc9dd5cb823d2504cbab5ee965232b", "51edd6f87c3b8bcc228849e3456522b308596116", "f367ed1edfc0f22316de7c942f0046315624d285", "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "056d1637fac0510146431a03d81de1cbf1147d65", "711d45dc5e8f95809be5e835d5a49f65843fa806", "43bce3ce3c2edf327a1dbcb2ee34b743b8ea2fa1", "5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e", "75a3f622f273450d020af5bc5562a69a9dc02b77", "88f51f4e7fc2c963a4e0815862258fd7e1e05d58", "bbb274a7f79c94eb2862ca99dcb23de43b9ff8ae", "ce5a47b920931bfe8982cb4c09999178ed7ce0ba", "add9b7cce37c88df0c800f5c89fa94c3f7f879ed", "dd93611ab7fb697d92e97749ec09a2fdbd86b7f1", "b831a08a7098b64485587541485859c9213e6dc2", "e2acf0d058777458fcab6c7043429ff6e229a3bd", "233ee51b2a874381c28e2c54515e5c92aec33316", "e474ddf96196f464dde83b2f018db9e1bcfeb87f", "a9c120de41679fe336e2779f3e6fe4b04945cb3a", "a125bc46fee1bd170a0654b8856d3b78d62e9d29", "c3203e18a11be454d3124748a48350f5b741722d", "2710e1c58476e1996466530af825de6376a92833", "9e79b3deb36a14483609fb775277c1c9f3fc5944", "3f514fde39c78b98d4df0afd36bc9260db5f1225", "d797df0f60073583b76853de01aaf3ff41b3fae2", "18f8aa212165426c3862ca65bda1d69c655ec273", "4de83b6025526ef7a340ffca30626dac53d7f8cb", "69dfec15a45786bd37474c8e059bc1ab0a7c8c25", "a4cc82d09d5c8e03f2a279a4eb44a9a9ba745cf0", "cb4d8cef8cec9406b1121180d47c14dfef373882", "70480ee0e636a77f6289be98ae39300a584808f6", "2e239dc61cf34f4de9ff2e055b96a012c9dc02ec", "1bd80812c58de8cb0127aea915a45ebbff42dc3b", "b2a33ad2ad1de7f7bb03d10ec4f958e5109f5744", "58d5fe8573aa6156d0b02a253ff820e0fc77f8c4", "2528022c14428ad5912c323f6a356009457c985b", "2789920c91b54434da5aa9e68c5bfe943a917f80", "3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a", "7d2df9b943a666caa9154dbc1a0ba3dda8cf423b", "fd451222670d2f185ae3211b5450fd6951e6af51", "c8e029d94dd0766a5356cc00f033c8604ad94327", "94ed45f469390a58bcf95fb6725b6715743eb89c", "1ba55051d3957895d77257cc9a5885068fb2e43a", "5cbef6da9c2cc630722f1e48a59c3aa84a00c44a", "7d841607ce29ff4a75734ffbf569431425d8342f", "2c5ff99e7e9769677df3eeab9f198e3ead016c35", "0642189222e584e67979a27a4e178ac7175d73d3", "a9c7d8a704b5a30980ee400de0e8a2235221e0fd", "88e6002375b534d88d070f45f466a0fe4db80360", "b5940250c0a136b85a4706b1bb13f52be0037837", "cdf0dc4e06d56259f6c621741b1ada5c88963c6d", "899e9e5fb53653b76a906709524945c56aba61ad", "13a94d8f5eafbbf411c9a70e1b30937a532664ef", "8660575ad46621b25daf7ca356b2d7c4f461e982", "79bcc554fbdeb36c1d7d8966522012acf803c999", "4b0111182ace7443f060a64754ca23b2fc7e1d77", "1550518a37d58e708023b9a1d457940a9c465717", "2f25cea519db27f4c3b137e5d20d14f6e0381ccf", "5712cfc11c561c453da6a31d515f4340dacc91a4", "7803206f024ba6887d93e8aec91dd0097ffc5165", "2d51b52b3eeae8877d1a76ca564a35b8e5051c9d", "416087bc2df1e5150231d85b8103d816fc32a2a3", "ca811f4bb2984aad00d5763c806decc5268e359b", "cedc0927edeba2f157e6ad1c356e8f6487fbb6f4", "95e7cf27a8ee62b63ed9d1ecb02a7016e9a680a6", "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "24da9c1eb30ed5ef0052f760d5d847bf5cd1d2ba", "2fa2a186dfae16958bb3bc8752c57a749ccb4f41", "8b9729519615bb8576d532c9bed799cb5ee6b06d", "5807932dbb95e9def833e98799554b62b66eed2a", "9cd5d74e3db99ae329aaa30e6716653e9580cd76", "bef9ee5093b0427759217a213678aabe22ac52f5", "04e7a4ff6635552183e6a07b4ba7b415986b758b", "f6532bf13a4649b7599eb40f826aa5281e392c61", "51a9de3b6ffd4b87f024cbde2157d03412b1384f", "4fc609df4e17b5854e3b7f4371e5f4192608eda5", "dc1510110c23f7b509035a1eda22879ef2506e61", "c82b3e1cefdecc1fe60f2aa9db46479462629918", "d804e1563ae656794fda008fcef0d79d85b40b3b", "af4e324e4579567fdfb8d3216d5a76e9f94cc915", "80f2284adfeead3d288664cd5a508cf4e5af13fb", "467747f86df4537d6deff03dee8e552f760d7c16", "4a24ed07acea711ca822a77f4b38311d4ad969ff", "40c3ded33e3737d7f8b75eb19c91b3d90c18f24b", "49396502143e920f7208bfd27202d6fead39992f", "41af2f897d6d9f418d752898ff767f1e2a521b07", "77d4843a177031b2b5721824280033e2e601334c", "47b97c9db5269bc3bee88105e23acb2045afb2a6", "8cd4234fbbc1a7a113723f70c592ee0351f974f8", "104ac33f00d0fb9c58d6176c2f94de8654e6fb84", "7de3a280481d5389deef8c4d49a3920147889835", "fec9fb202906e6f136ae92c3a3540b2a84257c4e", "722221f6c696b4a7cc094748aaad8158990ec41e", "6983b8498c634cfa2d58d811fec4e06a6aeb573e", "c91cf824cc7954483284a6e0019c83baeac236ef", "4704c8e6330352f370107a3e9ae297a0e77f5543", "19d36b11b3e99615691a2c8deb964d803906ffa2", "03ce549e60833eea1a518081e93d76fad19fb9ed", "5f708ce777ca58f6b1a9900f21256279defd5d03", "3bbf722c8d35bf3f7efb6361c5e2e58961f3d886", "df4a6ed5428c26b8d094f43efc255a1b4009c355", "1521c815e67572f3a90e44b67675b599bacdb687", "0d7652652c742149d925c4fb5c851f7c17382ab8", "83a715e33a789104d4c21773555e66b913c32921", "fc6c5ef8d97d0c4d7f2a8576f8f5fe8e0ed83fbb", "00d324d84a8fddf660e499c2879b3acc8ce02094", "3622877ffa6179d876acd531feb14743c8760810", "c2f83e4880b44579b7791516a5d9dfc175cb3620", "120f269cbbaeaef9dfe1de0d28ba8b39cd05b618", "364584f8313e7601b1f5134d371e98aeb61110e8", "d665213b59f2460faf171d3b03ecd9c96d606883", "e66a6ae542907d6a0ebc45da60a62d3eecf17839", "1b66b3b8ae9d1f2f673bdd12ccb0c326393ef302", "0b4453df81091bcdafedc07b64bea946bf3441b2", "88ed558bff3600f5354963d1abe762309f66111e", "16da7c95c218e9e97eea7734d6c243e8b825196d", "d14538b0e5fc144c8f600591f75cfa977cc02daa", "3c3915c5b550dc514d308122beb9298afd32995a", "03fd8ab33126baefd0f1b84f4198a44be68dabae", "8776e7260399e838da02f092d0f550ae1e59f7b5", "3f4d2c46b45c637c38b9054820521baed154f75b", "fbbfd3bd8a0b1c63fa27dd728ee907816c484ea1", "c003283920a77a42f2654a8f51a142e2ff2ab80e", "421b3a33ec70af2d733310f6c83ad713a314951d", "4bc31b1cc8e4f0204a02fd900ed0ef36747e5b77", "03baf00a3d00887dd7c828c333d4a29f3aacd5f5", "78345557ff69e20874dfc9e36a2defe92b6abcdb", "8dd62c3a6803aa1f9a102c947cb848affa18f155", "a969efee78149357ec109c1de2238a0cc670858a", "366c14f477bf2ed16b1498d1c56a7e1f2af08e69", "04911900ab7a32117a999dc447f455701b15cc25", "00d8f67ac0ea0bb2c9827b60e1f47c300346cd7a", "6121dafcacdba9aa3cafb0c2d4eb40544be88c3d", "5a9126f4478384f6615bf57b6da7299dc17b9a6b", "20045a9f577fab336ab7684bf8311cc1c2c178b5", "63216e4bbb8736c5587b41ebbd92043656b374c6", "7aa4ed5cf9b33e0c3d90616d52c0f264b416db54", "87a837ebe3b4770165dacf0738602b42902cb7a5", "1668963ea05061a70aa941e60500880de9e0c163", "bd5593b47b40d7f516c3807a13e5c7327a934742", "1addc5c1fa80086d1ed58f71a9315ad13bd87ca2", "8ae02cef563120be51f8655e199a54af856059b7", "75ce75c1a5c35ecdba99dd8b7ba900d073e35f78", "07909972d01df8edbb4b9c9c28c46a1c71556549", "e40007540c4813c81bc8b54dda4dd6f6c21deaa8", "fc8cc6c3f065daa92f45e6379f407c53ca31f375", "5afe59aa89d2faf093ca83256ec86bd50b8cb5c6", "fb1ad9ecd3ca960bfd4e7b24c0ad27deb4937d18", "459b4d0ed3031e2fe5b3b3f176a5204dfb28157a", "de587631aa1357b08754b65bfee7b3176a0c0a47", "5ef3305303e86fcb1a0f8b7aaaacdc5974f3bd94", "ed2420d0fc7087d61633bd9a5b2907d1c2de1810", "489b7e12a420eff0d585f3f866e76b838c2cd275", "76b928ae59b265da627c350216ac36cf93a67dc7", "9cc495bccf03ef14580be951f8ceb36f712cbc7a", "6e1651801b56ef013f5c671663570d717ad1992e", "53873fe7bbd5a2d171e2b1babc9cacaad6cabe45", "9e6c15150179ce848402e89bd245831d9935f4f9", "520ddfa86afcdd99a7c6819473cf5fd80c2bcc62", "33aff42530c2fd134553d397bf572c048db12c28", "95ed2269c4a13771cc8dfe0ff2d4d6a7f4d73033", "f7ff713e605cd8198e474e44a61a78751e26cd29", "c7251a6455f405153df0290c25c25c085fda66c9", "7e4aee2bb849ec9251a0128518f329d572fc9eb3", "d724c43d8f17e76a1fa73c3b685dec9308d106fd", "5517b28795d7a68777c9f3b2b46845dcdb425b2c", "83a77518def85c789bda7115d48310eedb10ac3a", "edc37f68cc6a36ba51db77574788cce4b2719719", "81aad254f9795040111f7319c862a04cfec16472", "83e8bbbccb8613de490b1a362dd3fedc411cbfe0", "0fb17e7f2bb70ca6ad66bb13599fc6a33be9916b", "d3ff28a5660f709ac7b5aa0780e77676b62de4dc", "2acf8de76c3015914131938253fedfce110720ec", "6058661442234f0c58e7979aa8a86d0e2eae0d8d", "a4876b7493d8110d4be720942a0f98c2d116d2a0", "f41d1cba2260a1bc75c6380b688922c65c8b3f4c", "c7abf02d3cce31d44641580b217ca39721f0302c", "52ffe694e8d6847deb4579e2e8d7ca544643b9c4", "2d6f9e4456ea8e89d89b6e68e3110f7b0414e641", "c895586e790eaa1f7191973f451f89bb1336ed14", "99311a926cb1e3080ad52eba6aef27d53df000c8", "3f114f494306cc17b6c3639c28424516ef4ed242", "45e81d04d01ef1db78a04ef7a9472fd4cd6de84c", "bd8d579715d58405dfd5a77f32920aafe018fce4", "944671287862d741a96a4026600b68f4a7976ee4", "2ef0748522a98f3bd06d7819410fd084e34031eb", "ebfaa69a0aaabe79752c8f14ca7a91232e1a7d2a", "1f6576ef2f8b986b44f06bb83b4238d1ffb6c990", "57893403f543db75d1f4e7355283bdca11f3ab1b", "98f7081ed27e250d1f974d89377d1fbd3f78a347", "7d45f1878d8048f6b3de5b3ec912c49742d5e968", "51dc127f29d1bb076d97f515dca4cc42dda3d25b", "40c97adda90fd7d678fb3e614f2ac3acbfab6d9d", "45836122e1a8ed3de05ce0446a93a5adc5ef84ae", "482a31cd4705f3d56e468cc33486847fc100f568", "ba502e59fb58310a3e8f8889f02ed9e782e27c75", "3abfab8740ffc66c0c191ce32ce1240062620bea", "273b0511588ab0a81809a9e75ab3bd93d6a0f1e3", "bd96c3af9c433b4eaf95c8a28f072e1b0fc2de1a", "b3478486f9703c64ee91f9cbce24571e2809b072", "071305535de1c6f6ac820fc0b3a5f1e67261869c", "3c2bdfc703a77ecd0a991b03e620e8a911d5f8f4", "594236967c5dc3948758a1ff38e18105106e5cf7", "3be8964cef223698e587b4f71fc0c72c2eeef8cf", "826fd96d3f612fe1f6b3d8d8c77329645f29a318", "fc68c5a3ab80d2d31e6fd4865a7ff2b4ab66ca9f", "fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59", "9b30771968b577ea1b71c0cfaee31f3824bfa027", "24539a503e4f1686aa0daa775e9b50cc97953888", "2e535b8cd02c2f767670ba47a43ad449fa1faad7", "2ac21d663c25d11cda48381fb204a37a47d2a574", "dae144d7b02aab7338b15d561ea18854df563cd4", "3e2b9ffeb708b4362ebfad95fa7bb0101db1579d", "7b304d7771ab7eb7734fb7428087d80c83accef7", "78fd41d5138b2b920d5b0e151da89ea4eff7560f", "379aaada226a3629408dbb223c7a7252dcc425b8", "9a36bbabea698a9fe0e11e2cf77a013dd7769f42", "18001ed8ce46cf9df5574b1e360550ed9401cd76", "487a097700f06c10c990e9150830de59008712ee", "2c93c8da5dfe5c50119949881f90ac5a0a4f39fe", "b2d9877443ec7da2490027ccc932468f05c7bf85", "e064845cd130ad3a8e1603bcbd592cc17886fd31", "0e4ad0e373eecb81ec3e171c42860589589ab1c5", "0f91e3e67ec5a71a6c29b9ea0fc1916b46a09b0a", "2a94265530b940b5516f431675f882f83581a745", "be0ecae19ee079c65cf621586a9bfc5c376a9e28", "706236308e1c8d8b8ba7749869c6b9c25fa9f957", "73891f78310a6846da559ef36cdbac905961e4a3", "4b4ecc1cb7f048235605975ab37bb694d69f63e5", "3a60678ad2b862fa7c27b11f04c93c010cc6c430", "4510faad196b34f70e5d27f012840d4987627b37", "44062a8f6da687b40fb393dea7712f6fd677c8d6", "4f4c067e684252cf5549f60036829a89b2f35fc8", "9026eb610916ec4ce77f0d7d543b7c2482ba4173", "5480bfe964e85770615a73837e5451888bfaf689", "1c006db94629ef30ec75377925e4b49b4aa8aed7", "0d30a662061a495e4b5aeb92a2edfac868b225ea", "ecbe33456daa76b27fe83eee8dbf7a0b827540ed", "a1b1442198f29072e907ed8cb02a064493737158", "4d2975445007405f8cdcd74b7fd1dd547066f9b8", "c9fe5df03f4de042cad42e11560304b886161a3c", "434bf475addfb580707208618f99c8be0c55cf95", "74d4224989b5937ee6c97eec1955e64ab0699f57", "952283f21ab30a1026b26911c160433ca147bf8c", "0b3144cdc9d6d5a1498d6178db20d1c49fb64de9", "e9ba629fd9533131735e2305929faf0c2c46538b", "9f43caad22803332400f498ca4dd0429fe7da0aa", "a9eb6e436cfcbded5a9f4b82f6b914c7f390adbd", "db150d158ca696c7fb4f39b707f71d609481a250", "b0c820c6996b9cf9798d778a46860d28f1beae64", "dfe2d36ca249876e5ab5500f155e3a5094dbc170", "240d5390af19bb43761f112b0209771f19bfb696", "1e4822f64f105a3f27888cc463e7e49e95c1e0f0", "58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7", "040601d28b683c3c8b48b29e93b6aa3c26dbdf5f", "3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4", "69ad67e204fb3763d4c222a6c3d05d6725b638ed", "02d2c2b0ee77fec8d85c114c20fdae318e95a1bd", "a313851ed00074a4a6c0fccf372acb6a68d9bc0b", "25982e2bef817ebde7be5bb80b22a9864b979fb0", "54b63296ff114133ebfd8e01992a69099deacc19", "6b59716a193d3f91f88277e4c8a0f4cd0b6873c4", "78e076efc67a1d02339c6c42d5da570af374734b", "3ad56aed164190e1124abea4a3c4e1e868b07dee", "1d4e1b4f37caf40dc70d211c6b2745195dfa6c3f", "f5a95f857496db376d69f7ac844d1f56e3577b75", "4747f4e167fd7b30090fffa650be3a49b564364c", "d453e0d308919867b5814beb1394cd0cc1cb2378", "af10d1bb6ef67ab9c8b624b5fcafd9dd2e2daf69", "0c48138a513ca458030cfcf74095071eb99082d9", "7a7f2403e3cc7207e76475e8f27a501c21320a44", "b11b71b704629357fe13ed97b216b9554b0e7463", "8c844654f8b8db6cbf586e16baabff56f91cc127", "a70f3ae590606e9ae7aa5e1c8c04b20d9de43472", "60d9189464cba1751c96b509e4a877b7625bcd35", "4e7ebf3c4c0c4ecc48348a769dd6ae1ebac3bf1b", "160259f98a6ec4ec3e3557de5e6ac5fa7f2e7f2b", "de92951ea021ec56492d76381a8ae560a972dd68", "09251a324dc4865732e2ead50334bfb906f8ffb4", "eb86c6642040944abc997848a32e631d1f25a2f5", "aef59def2a65901de9d520d0442b42bb4a448f06", "053ff27aba868c64823dbbe2167a762dd3f33b53", "45d4b8a1bdf306623ade653faff0c2be4d84960a", "5ec1f7dcce316b66bd107c45a50c03f106bc7fb4", "a24709b9b2ce01a6cf3e4b8d603533d66f411916", "b02fe7db60c2973ab2f9cd42746a34d9ce34da1a", "75bf3b6109d7a685236c8589f8ead7d769ea863f", "eda501bb1e610098648667eb25273adc4a4dc98d", "f991ffc087de855ea879a10044807f79949bb0fe", "10af9d8f5895e9ff26fcfce779f9a1199ceba529", "b8ebda42e272d3617375118542d4675a0c0e501d", "a9fdbe102f266cc20e600fa6b060a7bc8d1134e9", "7ae8acf20f9415f99bfb95aa000d698b8499f1ee", "123c3798779e1d85bc2a7864e1a133c4c2571080", "cd687ddbd89a832f51d5510c478942800a3e6854", "d65f11b44180d9997ad5ba6e6970fe4874891f4f", "4ed40e6bb66dfa38a75d864d804d175a26b6c6f6", "aa070e425828c89f4f79b5659c03ec86b8a975b7", "84d665608c7c005d38290df392b0ba0157ba32ee", "3a27bdb9925d5b247868950a9575823b3194ac8b", "e97f4151b67e0569df7e54063d7c198c911edbdc", "8d03e982bac627dfea7a785a597d5946c6b2c4bb", "38ede8e62e82d5012b3a165e55c9bd84442967db", "031532cc5c4e64e02e796360a16f89580a0ba552", "134db6ca13f808a848321d3998e4fe4cdc52fbc2", "65bf352a3bafb9320265d8a3cc019a6f20156acb", "349c909abf937ef0a5a12c28a28e98500598834b", "6625349c4705d25844ab6eb019e5962b012e9256", "47fc921add1421ff8adb730df7aa9e7f865bfdeb", "cc2a9f4be1e465cb4ba702539f0f088ac3383834", "5e9a6357fd7de7271dac77756c3992dce260eb49", "741facf45a9fd4886b5a7affd07406098253c327", "f3df296de36b7c114451865778e211350d153727", "48cf1105eca8049e8625c5b30a69620b2381589c", "224868cc607dc38b7eca8536018580c577f9fedf", "b255474d62f082fa97f50ea1174bf339522f6c99", "3e3ba138edbcf594cd0479ac2cddd5a8e3ee6a18", "ea8cb4a79b211fb288f747bdd64b3fc36e11c0fc", "bbcbe1312063aece3585e41f63a1491eb3637ce5", "8edc48e7a110f176ca08c26c0085c4dbb4146c5b", "205f035ec90a7fa50fd04fdca390ce83c0eea958", "53c8cbc4a3a3752a74f79b74370ed8aeed97db85", "819a321975c736e006870e76446d581e195cad2e", "9ce0d64125fbaf625c466d86221505ad2aced7b1", "5b27999b3f066137de537e78113faf4bd942b7c7", "e260ce226de2c945967a7c8d8363f22af02dd2bb", "338d88d38795c154caa87460b99fb3d016257054", "807913b776bc5039cd3f195841419e55979ec7c7", "968f472477a8afbadb5d92ff1b9c7fdc89f0c009", "39f48090df19dd0122590ef839226f8b2bcbe609", "99c46753dee61203dbdcbe65d5a19d4cba6e9b7c", "81513764b73dae486a9d2df28269c7db75e9beb3", "c37b5c43b58f2810bba78fcf2251d5b631428b48", "20e3bd5b0fb6b1430927d7618f03a6234cb3bcd7", "1e2087908e6ce34032c821c7fb6629f2d0733086", "525da67fb524d46f2afa89478cd482a68be8a42b", "f188b4a5f399c0ffda05c9be34de76c56f7c74a6", "4716dab7f35535a754aa6cd29d03d659483b7bd3", "50ac5fd467d0a3718c88bbc3a439ad6062265258", "7f8d2d7eaa03132caefe0f3b126b5b369a712c9d", "5ea5a9f6fbc7209355cb98fc70b177326e0fe09b", "a4874a54a2afd74d2cbed50f2276c91c49f12ccb", "ec9976aae8042a6ebb8a823510c757a93b11737d", "335435a94f8fa9c128b9f278d929c9d0e45e2510", "69447482c6d7d0fde4001231ca84c31f866a2d5d", "0841187bb483212014584ce9fb59b763f53bfbf4", "10ca2e03ff995023a701e6d8d128455c6e8db030", "312337f1c79d49bb94333be74a541fc8dffaf552", "8449f94ce5def129be1fce4a452a6224d4179c39", "7002d6fc3e0453320da5c863a70dbb598415e7aa", "eb5b1dfe580722c0fc5ca202a1259b0bd62354c9", "18269fcaba9feba85552b039a9052cd67e6d9c8b", "2d98a1cb0d1a37c79a7ebcb727066f9ccc781703", "384112e458d887c036fb313953a217173eea5f93", "1e516f45f87a94ceca466c9a101a01720a535117", "7adfc2f854e2ea45c29d22d6e2dcccdd527f46a8", "ea7fd75c904430d6c062c770d9a740fd0aa8751c", "51356ef096ea60e2c7513247a941977798eae260", "ee4fd1a1df6a01e7dabe82090b1024e2eb6d78a1", "a84f5df7e540b8038ea1c68398e514f7a6ee6486", "47b1498f9f5eba0c0488784ee177ad29cbae7177", "68070526920b387bfb91e4753d57d8e07fac51ee", "bb2f61a057bbf176e402d171d79df2635ccda9f6", "4e0636a1b92503469b44e2807f0bb35cc0d97652", "e2f78d2f75a807b89a13115a206da4661361fa71", "894a3ab0a3ef82352b2c294dd2bde2bd3403da8c", "3168e52567d564f0871c3f9ed7757dae9d66c55a", "2480f8dccd9054372d696e1e521e057d9ac9de17", "e23bc755f7e161d524fcc33b7d927d67dd4a5e76", "59e2037f5079794cb9128c7f0900a568ced14c2a", "9b0ead0a20a2b7c4ae40568d8d1c0c2b23a6b807", "57b052cf826b24739cd7749b632f85f4b7bcf90b", "0697bd81844d54064d992d3229162fe8afcd82cb", "7e5aa453a21f56737db5e02d540f1b70ee6634ad", "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "ef458499c3856a6e9cd4738b3e97bef010786adb", "5bea1762f43987f03ddbd8d9c46757cba281a05f", "dc77287bb1fcf64358767dc5b5a8a79ed9abaa53", "923ec0da8327847910e8dd71e9d801abcbc93b08", "b4084ecadad44e75b6aa3960c654bff9e9972650", "7490a6ed3404c459f9d428a7e640f8d3a42a21a9", "f35a493afa78a671b9d2392c69642dcc3dd2cdc2", "bf776e3483419d7e0cb1dfd770be02d552e1fedf", "5f8cc55e9dd9c21d45dab929bbc04e5d44617067", "096ffc1ea5493242ba0c113178dab0c096412f81", "9a2de59473212fbf9194e88fefffeb2b1436b3c5", "b5bc03b29235a1fdfe316b88628eafd303b3ddf3", "84f904a71bee129a1cf00dc97f6cdbe1011657e6", "2d411826cd7865638b65e1b5f92043c245f009f9", "5bcc8ef74efbb959407adfda15a01dad8fcf1648", "1a8341f9e85a4ca2c8f349d050176c505f204b72", "1c33e8577ef7122ba7aabf2b1e1f103e35b3577e", "30fb5c24cc15eb8cde5e389bf368d65fb96513e4", "5fb9944b18f5a4a6d20778816290ed647f5e3853", "ee03ed3a8a9a8b6bf35dda832c34160e62893f92", "cf6775c027d687b4ac347e1392e2e61af20ce4dc", "7c13fa0c742123a6a927771ce67da270492b588c", "2f598922f81e65c1f3ffbd8c2456d2e9dcd7124a", "871f5f1114949e3ddb1bca0982086cc806ce84a8", "2aa6496a8dc3f9bcabe27c1ef87190ea5919388d", "420782499f38c1d114aabde7b8a8104c9e40a974", "4efaa9edacad850d2fa54b1ca13b1aedfe19c6fd", "649eb674fc963ce25e4e8ce53ac7ee20500fb0e3", "d6102a7ddb19a185019fd2112d2f29d9258f6dec", "0a9345ea6e488fb936e26a9ba70b0640d3730ba7", "a1e01feb2629f8a9a55b8f8c1c5d3ac6143d8b19", "1cceae92d399b2ed30aa54ab616e8c39e6ffbe11", "538faff98ddec5d9391a521c9a27aa0117af7d15", "634f698c05d640ab355e94a9a0cf9191891b3dcb", "9952d6630a2fcadf34e356de07ebd2254651c95e", "9af5ae0544990fe8da7c1a2346e0d1b328684f46", "34dece36ee166864cf1b766d3243ba36fdf3f6e7", "4671f13ac3661f430e50b169108c67e11ebfdf1d", "0a350543ef2521b144c80a831848cbf711523fc4", "12cae6e74ddb4a16d66ac410cf2e1b3bfc3618a8", "ff336983f0308bcb616301a6381b3296ae27c4ba", "0cff6fe25622c3da377d073c256203b98a2169a8", "1d80eed476270c04ef9c1499dc4cd76030aed595", "cf52545ed18be7288376063a0c9ab339d0e8ff78", "6ac29ffbd9184e5df9a14e748e6a80d7ee912fea", "a60b85109f2eb13bde4d797da4104719d5017cdb", "99df887213407f612c1f5df502b637709a29cd6b", "69abd57a49c6b430a83d9a1e09dce5a347c9c63e", "969a06bc35f3d8539238901e17fc05c66d278317", "bf91c7f62afbc838cf6af5158fa994abe4369514", "ccf5852bfb55e1fa6760f76139ab44dab89f2a17", "e61449a2a919a2e9a9b4a685f6651dac16673d5d", "ff54ff0dcea8a08bd987848387b2884e7fef9dd0", "9e3436fb5be28cfcb0995617f3867711c3013b7c", "5ed062553280d48a42b688bc63ed3f81f3507dbc", "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "c5773cd1b7650af3096a807a14a3199de9341aa7", "a5766dd5f2efe0b44879799dd5499edfb6b44839", "7acbc7edfeee7c3a19b6f204e1c290172150db5c", "2106de484c3f1e3a21f2708effc181f51ca7d709", "1cf34b6d6aa2e5e18e1e2097bde30ce456bc373f", "c140d519da4f5382b047500d9a0e83d9e0fae1a3", "3aecb2e2d4f9c3858b0a009fc07682ecd30c95ef", "3b7f6035a113b560760c5e8000540fc46f91fed5", "1178a8ed61ec6714383f2e9791c27aea6d8022ad", "8e71a8352a373697bca904e69dd728317d55917c", "34d53d2a418051c56cad9e0c90ea793af6cbb729", "1a86568fdba2b85a9f0b69d563dd22aa5a8d3562", "756275128fae4ffe8389261e498f9bb49a8381b2", "2a7ea871ba5bc69488e0c8c4c594852a085057d2", "1eafc8e7316d7257955ef09f903d318d55fac1fc", "72903a6b9894f13facf46a81bd7b659740b488e5", "a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1", "8b665946429ab0715064d6f120cdea6f426ff29b", "171f51ed4d084f0df52604d80cd8fb304c163ba1", "e26c2f7471b19bc881d0804c37f58ffafd68fcfc", "8d5ea0c79eecc9e6c857eac5d494d57960e0f587", "310dcf9edb491b63d09a9eb55a99ad6bb46da1d4", "70cb286bd9e5ca57b4b3f56b0c801a209804b552", "3bd05ce100075dbc29fc87c95d2fe9cbc1476ea0", "ab60ec2e8fc1f53cbc9c1277e758bfbcfecb4e00", "0c166b1e5ae46c157301da4965a453295ec85658", "3eb58533d6467be5bb0aff97c37254b3789b87c5", "5e03074c747c2428da51adf772bddb5510691568", "5fd4818688b009a61bc0ff9b234ea2a3e509a2aa", "d8e061960423a17748dedbcfe4b6a6918f79c262", "8a2ed61448d9e41295753f5bd0a662ac28373e6f", "7eb8a3b55bb02867b959461e3577a2d6f22fda49", "cfe73aa0d6bdc3d52b48854d1c057bad8c575331", "8e457222d6f38847489d63557ec2e0de7356e2a5", "10678172baa93d8318dd1945d09f38721a0c1ffa", "750e567370fd8c37bab657207195517405727a71", "bec0c33d330385d73a5b6a05ad642d6954a6d632", "c19845c84abc9e3afe17003fdcd545ed020d0624", "721d0c5a193fb5b5c357ca56e20d28e1ef4c9ca7", "f36c3ddd43ea7c2e803694aad89e5fd903715c81", "26973cf1552250f402c82e9a4445f03fe6757b58", "286812ade95e6f1543193918e14ba84e5f8e852e", "83f3491249f1ec8b546267f53449686754f2f7fd", "cdb1d32bc5c1a9bb0d9a5b9c9222401eab3e9ca0", "3ba2cc665165e5f9ab61c8fb81cf6eec7c82a316", "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "6ca2c5ff41e91c34696f84291a458d1312d15bf2", "4ff11512e4fde3d1a109546d9c61a963d4391add", "faeefc5da67421ecd71d400f1505cfacb990119c", "cb13e29fb8af6cfca568c6dc523da04d1db1fff5", "013305c13cfabaea82c218b841dbe71e108d2b97", "a6ce2f0795839d9c2543d64a08e043695887e0eb", "0a4f3a423a37588fde9a2db71f114b293fc09c50", "8291491723d24fd242a3a93248f6475cb084999c", "3e40991ab1daa2a4906eb85a5d6a01a958b6e674", "5aad5e7390211267f3511ffa75c69febe3b84cc7", "85ae6fa48e07857e17ac4bd48fb804785483e268", "34ccdec6c3f1edeeecae6a8f92e8bdb290ce40fd", "6a52e6fce541126ff429f3c6d573bc774f5b8d89", "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "a72f0be803c9290923643660caf3bffec4ea3611", "0cbe059c181278a373292a6af1667c54911e7925", "2960500033eb31777ed1af1fcb133dcab1b4a857", "127c7f87f289b1d32e729738475b337a6b042cf7", "2ca10da4b59b406533ad1dc7740156e01782658f", "14fdec563788af3202ce71c021dd8b300ae33051", "43fbe350681185ec9a18991dbcb19d694ce4f245", "041d3eedf5e45ce5c5229f0181c5c576ed1fafd6", "903a8db7bac7a2826cd98ae5425d839852274f7d", "9b7b07cb338846b0a0e3b2fbfe8d45184b92152c", "56e242cf22cc34467f6053fed2eea407d36fb80d", "9623e1120e789542a07f099911833a2a5f270e1f", "090b3189391f3e1917649b3a62696febbf0429e1", "95bf7e3960d88f2492fcf10298b0719b1c7da248", "6953911c6756ca70de1555df14a06f13305e1926", "a624f18087e663dbdbf176de45b863cc59bb2bb8", "a473ad49f4570c2008d6738e9e83a6a393237f57", "17f9b24a4871d29ca1a83fae12e4b96bce0fba63", "7191676f46478c0e8cf3030bae42524ce38353a7", "c105bd7f3fcdcf531fecd29206f7a1a6ade8e6c6", "f68ed499e9d41f9c3d16d843db75dc12833d988d", "514273063cebe911f0b628d012e9553129181996", "246fa412f26d5bf5b151a7c3f5287141bd08ae0b", "edd4b6d99367a69865377109f5f8bcf872f0ba45", "c2776c5ae1aa8d640ad96f06a2c82707fe70a850", "78b046f79754d61afb985f100f98b83399cb2b63", "16d2ead2c3e98aa1ee9c948855a027e1da2b8eea", "83335a287533fa24efdfad928db8fd8888ec4ef4", "15e6e1551ce9a4094c57db70985e420e57c6997a", "3a387304d18f2786ee83804bd38efecc2a5fd323", "2ec9a7729d6bddeadd1ba073dd27696aa1a20174", "de2faaee4f1b2ecf23149995d0146347a13b9257", "5db08701e6a8173ada652309c09d1262f9df7f9b", "8cfdd9047f8ad1eaf7d2b71385576f759c792173", "d5c86768c067df0732187040c21f23fe2183e597", "008a4cf80dbd44fcee94ad93595f43da626c8a60", "8fb0ae4fa49de45bbd51f97571732c1827516617", "d87cfabb760f7e955f872ac077eadf5c0abfb32c", "8de7ec0f751675d069cea98e93e54f69127ccc2a", "47165ad181b3da3a615e6e8bc8509fcfc53f49c4", "ac44314e877e10ecf4b2123553ed0bdc3fc963ef", "71253c2e93d9431f3fa6d150299121b8ba27ddaf", "5e8e1925d496c00c2e7d885fd4b0717cf82c1031", "cd4eea276db9e02abfed96e4fe6ff623c708cb5d", "dff7c9a7e66eb996f29ff9768d07a61d119aa484", "3eca8ed3164324698d0171e62dec24e8abda9e26", "9579bed02269e3f1f81c1d3b4dd396426e06c459", "e851a51b7e8bb43e49c9edfcd0b44da64b693646", "50d967ba885059fdbb6a14ed7784397d951efccc", "ed6a47f0e2e621d8420082ba1d0078189d76352f", "6aa21d78af359853ee07288cfc8d047e914ce458", "22f8148e43c50341bad686d7fccb425b0682e667", "53facd4da5f1d1f98f876211421957f5fbe8a29a", "0b0eb6363a0c5b80c544aff091d547122986131b", "301474a50a39b24917ad79bd2493f1168c4c1227", "373f0b02f61b1256d6df39979f1317d747195a25", "40e30ba448a079152ccd13f9ba670aa272df66b3", "95fe27cb6af4bb754a59a690e842a2d5792e4f4a", "57e5930c790ab68af3201e211483d88819e7563d", "daee91e5f88efcdf154dbf6f123a97ed8c5bb643", "00bc6570d7bec88593cdeafc0feafa32c81aeea9", "adee5054f386c6eb8ca83417c9b9ce4571aa2633", "2884ff0d58a66d42371b548526d685760e514043", "b3345c179be86c3fa7f3fece7d1f0db93e2cf8dc", "ce75deb5c645eeb08254e9a7962c74cab1e4c480", "c552f30ec6e8f17d2986829f85639b887095bbdb", "928d8e39ed97a6deed59b3d0eece44a9fb7b3116", "bd88ad1356a85bd70889ed1deeb27dcb2722fde1", "e004b3fca78a6730acdca0dfcb73a4fe769872de", "2de9e64be2ac5f5f923478ac7bd14f847db6a765", "2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c", "c21c557a8afc8568d55a8e65b35ac2c5c516433c", "02e1edb2f78c9b24e76e547ca8e31501d0be95f6", "a31262a25c6ff6cd1e2e4162ac13e657eb169d02", "f47e7253f0763579c6c045cd3fa5b34b0697f254", "e163118b4a5b8016754134215433eee1f2c0065a", "16f2dca5fa64ce02da0d0c8daaeb2b2cbe405fd7", "a289f5c7c1273c2402bbed8b3f9ed9b4b6e29777", "138778d75fc4e2fd490897ac064b9ac84b6b9f04", "900dc8bb7274701d4eacddb71643b6a8a51a3b75", "03e2aa8a191c7b1a579a7ca4c9ba6b6b6d6e09bd", "c784ba7120e807e244f508c71e96cd7677fe1109", "795c8a097e74618e862f77659cb212333ef79a48", "a9359ce3a7d0a434739fbb60af48a4c3122906af", "aee5047d0d1378ada2b0c48ced7dd4b908f26931", "df293bc88f5e4f4fccf7dcc0efd8dc8ee7ca3157", "95342efc83fac4cf61046c99c23e99706358fe70", "4c41b774a6bdf43d980f640880cc49b82ae19b34", "5e9d00bd30f8e6ccacd5f57728aa9413a9bff2a0", "435514bc2103deb604d762095d8faf77be544b9a", "ad5679c50e249610c687fb9a4bb859e7e07d2775", "1f80f6cc8aeb3d37a43a8e782298adfbb1ffb5c5", "73c72161969a070b3caa40d4f075ba501a1b994b", "a3b70bf7e676f92ebb6dec3e2889c9131634f8b9", "4d3a6c2cee0cf06ff6471fad3d65a5835d0552f8", "a0ddf6e9697631f771d73b721a3d871db6a04f6c", "d1c0592f4f9f0ff2e14e0591d87539e5141b7361", "7010c55055aae36edc121befce125ea04f0fc52c", "ea099ee1183145131e29009f2af0e4b13ac583f0", "832aae00e16c647716f1be38de233c9c15af9a28", "ccf044bf7ed04758b5926038e3dbc129765f66cc", "c259602c6c5ef3e3ee7397849a1a20c8561ba432", "180953265b3ad550682c8f0dc693eda87b82ec91", "070de852bc6eb275d7ca3a9cdde8f6be8795d1a3", "d9e99cdc42bafd9f57485a1cd74bafea9f9f074c", "5b207dd63dd1a3a8fd085c8b4577945bf5fb4946", "1068f6eca07c35426ca67961f00c3cac4866f155", "122c674f264c53d762af841669209e131b49b3f2", "95d7fae081259f29066e568689b007a44d6c26ab", "db84c6fd771a073023f2b42e48a68eb2d9d31e4a", "8c6f9b87c465ecbc9b3b75741a462d40e009eaf8", "5e004f0255e8e34b4f542fabd36d839d74cc38db", "501eda2d04b1db717b7834800d74dacb7df58f91", "a0172fc5e0bc49c3e12a0ae6769eeae40d22d28b", "527d2a15596cd2ee6d0a66ec47c7fd621bcef404", "524d119aa75dc9865db584cd4e0f17c957b8f56a", "fec268cf9566309d7429b879a4dc9df4baf2f56b", "1263a2be6f37c5edb54043ad9a25146e82bb4103", "9095f633a153c0e3a5503c0373c9c1dfeeefb0cc", "4e5698894946680e4d6e766346355b2dc1959819", "0041ea67f32bef4949fedcef97562ad16fe5a7f9", "69aef3ce50967a00c568849fed630c573f6cd1eb", "0d2e29f07275fe05a44b04f16cd3edd0c3f448f0", "0c0a3a00c97634fe39a4bc39bcbbb9f929b220c4", "46e11b3059c1110c318091d136f36ec67159bc9d", "b20a5427d79c660fe55282da2533071629bfc533", "33c3ef4dab7548364c7fbf5369105b8ea377e909", "352fbe52e9bcbcf8625a408dfca36b30460c8251", "1a03716411e72722f853b904a83d9c15a0d737a3", "5e99842246430850ba22ed36bd32d076ceacd686", "8c98e81895fb00a0eb91dae680b2384c9d3526f8", "5d3b6c9a0a8b71b875a565f5cd133d83817fdc38", "7ebfae505737a5e0b61173e9446c8ecf5a6dacd1", "18727c3f4ada0cec9e5914340cc672d0554d7784", "7c598d8b947b7cad18ae101ccb9b82c43726c51b", "9de6b3f7a60cea9749ae38ad9b700a7350212350", "ab89587477fcd48b374d4958778da16113965ff1", "8598e603438360884073fcf7b843ac489fad43b2", "00c4325c669c52db182390b2ab4a2b9c20f06b8d", "1c9cda71922fce078e5b87a8f19e34905ebcd2c7", "1d9306ea0f0239c88aecbcf0a48a11c964a0fcd4", "6b3c5ad668d793893dd5169c771c23bc9ffeff31", "06bba3ee6b385d2baf0c05a05ee612983a2ef628", "8f976aea4eb95019d2d50ae989bb9231b091315c", "a7afa62f053dde1c33e904b980752a4f36629775", "05dc1d27ade984a1d85e104b11aa3380fcd0d8ad", "252f912df6f301eb35923f97dda5db731fed2446", "457c94a2d3feb0a9d753ab9b92185469c397da49", "38d6fac9afc1f10f2da6421defba484f32f1db38", "3506ef7168e07840187ec978b47f3a05a753101d", "2de1703cb70bfbbd8ec2aa7830b42f2a17856e05", "1154e9a62825e6dd0a253b4cf9b98cd6452bcaf1", "85badd058bdba2f6b6dd513e9925dfac361d68d9", "b3e84ed8092640e24b7c2bb3b0410ed41f0fbf86", "7c7a1f5586ecc46d4efda1018a5807e3e08f3b65", "828f098aacc01e52802b0f1dd25008cf73205d58", "451dfcdf9553b3af0dd911d02ff39399a12ebad7", "6ed22b934e382c6f72402747d51aa50994cfd97b", "8b4061697db9d3dd6536b812d395553f4cfb534e", "65150ea455cf30ff75a73c1d25df84687d4930e4", "8bad9d970664d4a9874ea71de9cc7b4360ba04ab", "418d12dfcf5a2a5de898ac9728043448a85b9e71", "b184bc4e42fb99622ea59c24b13448dc343f6af6", "c4458cc521d8da6faeedc8c4f09505dace844a05", "384156c658b312946eebab736235f03f726c787a", "331b2520b0eda715270134ac2ee2a3cbb329aaa1", "03fddc552004800a5c5b575d3639f9a8eb5c0ebb", "a67e7ca0c7e1e3020169b5c59dc492e9f62f0022", "53c5f995e76ead002f1b0a78bfd50de3b1faf593", "b96b054df390efc6d620abb277b43c2d3af85c94", "40f5ae73e598114edab3ddaefc38fbdbf5c114b9", "479cd0af9f345bd44cd180a5e26f3e799391e31d", "28093e46fbf89c3d9c59d0a011738e3c5709164c", "c29487c5eb0cdb67d92af1bc0ecbcf825e2abec3", "a20210d875221088d6428330787606e12605c68f", "64e053ab54c44968a1e6fa146a72f59f101bc951", "2d080662a1653f523321974a57518e7cb67ecb41", "775d5676dfda56c80c87dca30bd611f8fabd9ff6", "4dade6faf6d5d6db53d5bcb2e107311da1ad48ac", "871e6c1de2e0ba86bad8975b8411ad76a6a9aef9", "a6ea57828252de759995289e409d83add6e8fcb9", "1d843d285992549b7e87933f403b23f456a73e30", "692a8ed54c4336d181c6c15046407b7ee3183e77", "6f7f9c366d16fc386940d2ee6e9938af6e158cf5", "93f176d0ac0e800c255356ff9c38e81ee677c4ee", "f0365c525bba4561d43e16f3fc79a898fa8294b2", "3379938454ad1ea9522f164d0330a4e9b1a233ab", "3412b4738b97f57d5cd321ce61bf9be453f89bf0", "17f29dba3809527c3b9533247045a488417ec21c", "0d028a924d8fce70d9fc42daecf77eb7caea67d8", "7df3b0c7cc025e97ff83aef9ee2b526e32770a20", "c81b27932069e6c7016bfcaa5e861b99ac617934", "355f262283998a6f9b38e7a41444966cdbabf036", "03a6cc09984669e3e85c779363a93ae7c7b5f124", "0765bda9fdd0bccad74d096be337ca083b3a4aef", "9b47947c293f045f7d980c9ffe55668e93483b75", "886dfe069bd0f6bbb0a885e0bf2788007bfb737c", "57e562cf99b3dfbb6baa5bbf665aa6fd97ffe8ca", "16a1984d55966840132e9845e5d450b39d41b72d", "5b8164fc9c65cd96fb529c3c8db551027009d4d1", "6d96bf377c96e1dd9b43e9f12e0ee2a66543edbe", "ffd3806a1a8305f5fa7fcc75e614922f1e1d393d", "5191781bbfe562cfee0c57675a9fbe79a85473b9", "fe4986bbb10f3417372a02fed1218acb5162ddec", "2c56eedd28be5f0d246a728c5e78f0d8c57f1da9", "c84ca95638893700d8f806e844984a5b2c50b5e3", "57412e2966a04c106657c926bcfdcb5c3842444d", "d743a37f6a2af0203cd19cf746d4d532a553c12b", "2d91ca2a115e62dadddcd0694e2d34ed36f1136a", "a5a01adb6e50ad22e650824e0def422e03e3e577", "503ca6ce6351e476c063c474394a324fe9ba6ea8", "2e1add06cc82d139348056fe43282f1ca1832e5b", "cba3f3ccb138c630a6038e8fb1a3f8715fd02326", "89ad4323ee776782170d6f840fdd8a26c6b15d9b", "79c6dc2bfbe3c4d8e21f4bfd36163abd2b3074ab", "4ace3d7830f1853038a034de3356eed1079c4552", "a3f2c15f87a9cae87b449052b05892eed3282ff3", "11386a382a556a253406102f774c4056035dc8b0", "a1a4059c05fef739b5ede0e77ad4a90acf085e38", "2a955477f778b6c27f914bd36684f019a9eb5976", "5cccd151d7c36c53bd582a71d780632a79384917", "6b5f32d129f73bd1e2aa8323bf78cec3ed12c539", "04379f40d2a26dd769c53488b7b08a5123f89347", "1b807b6abaeef68edfbdc4200e198bf4e9613198", "887377ea20d144c74ade6f73573dd5cf411f5527", "1bca1a09e2ef62b1960c23ff6653ae2d5aef5718", "63db312ec494988e1af0c1db5f9d9ca40ef89237", "069ebb57ccca31ab68983e07044e65ce1a04174f", "1eec7a6effd09be491ac983fb088e4aab02567c5", "88ab3efdec83670cd036a9048842416baf50cf34", "e9bbbdc38971a375756434406f574704819ef14d", "10723c39f9dcfcbd45d4ed7460006dba78c6b67f", "49c603c2910bbaaf877d2a0946f5f1448e90bbbb", "f96970f75b0f37787a47073bf7d02111f45abe83", "c76eee7a6656664bc37890f3754ae202255ffff3", "2299010c37e1c6101d42b1dc8379798c8ce091d9", "cf814b618fcbc9a556cdce225e74a8806867ba84", "d47ce2b93d81d9d5c617bc885aec3c7c29b97933", "ca0ac8cf1ed07d96e7951e8546980ad8a7dddfce", "5c6ccca19179fd217a74ccb954a4c4370e4203e2", "66d490c95ac100cedd2a0886a0a5510267e042f7", "f7e6656442f075902bf9886dd24693ebb4ee1ffc", "503166f937690c23dae7db65811f9b1b9b3cded2", "27a4bbd7bc90ad118f15c61bb30079d6e6bff78e", "6aaa45f48323ce50d0e4698dc98634fd66a728c2", "cc06565c14fb383d22de5478d67c81e1a553e036", "b14fd1ba72d1187a64a9cd4b024af17e8f80c14a", "95c63bddb6d6801c1d6cefa1765eec6a5797c416", "ed700fef77b92ba942ad09fd6da00398e879db5b", "03e6b8f173012cc2e1410404f9c3bb97e0881c00", "0dd72a3522b99aedea83b47c5d7b33a1df058fd0", "a219e7a1fa717d4575284ccc80e850088dbe9597", "5853c2df979b14baaee7053d4dc6e2b305c87e61", "c75ba6ef724c0c3a9c9510a70da4cc8729b59a35", "44bf7e376bf6d0a64134de99ac92df11546c055d", "fe5c36734551e837e5cc41673668050f44cf905e", "14629c6989721e452fd9a49b5c20b8e849bce82a", "bd8ca2a1a87220192589c2f9efe8dc761971ea74", "721fbc63a647239158bf817311d1c084455398e9", "b6967d6096294bbac242b6f27e1fee51da24eb11", "4cb9f0965bcb756f40848abde28f5d9903fd6db4", "0e43417efcc2bf5cb11cae87502685c5e0455bac", "3db588f1e58c1207685771d8015fa9427d731a53", "a444fd7229e2b635f6d179043541d9d90d661978", "eab8a51dfa9cf2af5dea1decdf57299b8a421d36", "19c5a8e8015a950cebe0deb94c2154e0da44ade8", "8aa6c3601924c99ca420c7c37ffcffe00db1eb78", "b4f6962068c27d10df9016090a0ca14f65f26b70", "f262f21a5bfe129e90cd36bef206dbb89e5d2656", "35b95ccd1350c5207dca8fd16d3d9906aea1d7bb", "c1fb854d9a04b842ff38bd844b50115e33113539", "8c31204573b60d92051929ad2ea98b9eb17d5210", "0a01d9b6b468f3e25867a028244ce4376b5e8d82", "ae2d194e8095fcf8512f9b1d2fb23304b59ffa3f", "10e155151d3a364b1249e765edf178f1c519c3ab", "453e311c6de1285cd5ea6d93fd78a636eac0ba82", "f4c768a8f9ae211168acafed36d371d793e768b3", "134d4eb44ea1fd0a2719dbc8ee2e41003dfa3e25", "c7ecb2ca791fe23c182a06e7700c4e41f5ffa79d", "a083e3fc71b4b073ae3bc6aaf31d1070e61c85c8", "dfeddb420dd7b37dde0322762d3b221c1cb0499b", "b264d8ac4e9f1477ebb8367598b9eafe87ed19f1", "cba31f4773e2e3ec849f7ebbe8633b5b7be5506e", "9900be092f81547ad71e4124cd850048e1969063", "28209a6ef1de7c10ec13717eba8bad7c2f4feba7", "824e7a8285cea048e9c731ba995804a99bf6aca8", "ac9227ff4262405b8eec8ebe4802b763bd6f55e1", "1996c51c33a6c0e1ed1f8dd70bfa6abd854b7869", "1834de2fdc73c52779cc2159a07d88c247d3f60b", "e24d52b2feb48a5112246da04048a846a33affb1", "bc703a84b98866aed444d8c3e72c58e5886ca44f", "e2fd91726073975f6e6eb7a88c9993da30f1621e", "e465b7d0780b27da4b351a281a2711c63b42c7c1", "699ad5c2bfe38df4c7e7af0b8d7c54a73a21b07f", "6c40a215574f95d9dd2f5ac3523f2ffc03d1a84b", "094c3e8733ba08a879522a5501b291c9e134ab75", "0acb29c97b60d7d24ccd6a23f89175cd3b9c2cf0", "62e1641bdcf3d5c4c4a23f6fd1690785c797add1", "f4d6361e20be2e472ec064936966a02baf473412", "2cad358676854505517307314728e8920fe53d77", "4db99a2268a120c7af636387241188064ea42338", "465b75fa4b84948e19d8bf2ebf4fe4459c3c87ae", "dc08ae1a0ded26d13cfb98b47a6153d7d1e071ab", "d3bc28d99301082653f73288c68bbdddda1585dc", "f9e07fbe2d2181e7cbcce673aa2c3d40b85b8a3d", "cb5d7fe8416810cfdc5b3b9d2b60f44ff9c5e78d", "90a7e37935891e2e7ede39d0c2da04d2aff54df9", "a082c77e9a6c2e2313d8255e8e4c0677d325ce3e", "3ea6cfdc047e96411d11c9bfdefe67c7ecade0ff", "0953eda20b3f3c41ad2b9ddf180e0988a1d8c175", "160b6b8950a155b66ae772c90cccf642a99b1126", "386696660b8e8a3f63ec269693c2c8801eda4b26", "abd555f397abb6f46aad81c683b279cbd6d22637", "105ee3d197af63c761730069981ae3bb1c4f90bd", "507c9672e3673ed419075848b4b85899623ea4b0", "d9df2ed64494f54c0e2529f2c05a16423a57235c", "fd89d46397d48aa38a317c4e2fa3c9a52a187998", "0568497f77d21122a6991e3d7147d5205451873a", "028b950820fe57d4031e56db974aa54bc7ee8bf4", "4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06", "36119c10f75094e0568cae8256400c94546d973b", "468aaa87ccdba65f3115bd0864f7772b6706c00e", "5fb16fc243c2bcb37149d5bdc3aefa05198ae840", "4a1fdf137e720beb6dd3c8a2623b21676b142f2d", "49fb5306f72a0618093753cebb81c82e031e9f9c", "172f303e61c0dc9556dbd080b80f365080783360", "b69d14265a221538332747fcc486d0f9338c2822", "1d93a1af770040cb8a64e96215884ee363a8f53a", "b488897ff5a357ad31c3b15ee9440de17df2200e", "319a27b8559e2301c9dbf0462bcf0ca6ad3449ad", "ae42dc9ef4a03caf69c23c117621108211977405", "db43367d687cab574e791f1442cc5a088859a744", "54983972aafc8e149259d913524581357b0f91c3", "6ede0d34104d1f5821654039f0ac8532f39dacb0", "e3e2914ecc57f00f31b2769d501bf16dd99547c9", "92cc2cecbf065c4b55a3bceb0d9e475fcd70f8c7", "6e0b1ea97421e080402a8db23358b01c04c905e5", "2717b37097b8f413275731539ad3344011b1d4aa", "08f6b52317b34b60aa65f38b83e3d72deffa0473", "ce9799830a24412f4bd9ad30a9d6e2a50215f8f8", "369c4a308ec9e56746f7cc1b164208b917e31a22", "35ebe95db7ab148e25904604d3b06a9412f6b4a4", "55761bdf5cbbff5fbede8ee9d0573d1561a9254b", "12a91c9d4a55fc93f15f4acef078c8908af3c9b9", "c32b66a9badc57e416cf15287c9c8861b264805b", "254f7ef73629c18ff9ba13af59b2d78df3fda59d", "02a4462e6c63007dda36ca5305f6b57d03f1316f", "0754d3d8fbae668880a3eb91b2bce89543ea467e", "47067114c681e93322a9152fe7ceb7a9178bb32b", "b955969e1077ca328018c9e4dcf27b87ed9f5076", "fbaceba60619d9f76f7acf6e639669cd6150049e", "6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee", "c486eeced06b1db66b7deb58496d71074b88fb86", "a3c93737a4497350768b0dda08dbc0826670dc5b", "bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7", "3d1e82b69663758a1db87fbebed6525d23090146", "365117e2e47b83ec70014058de13d167619094ad", "01efec88d36070dc3bc49f341a77476f74d373bc", "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "2c3e7392b865b228f5d56ab025cd3123554be5e1", "8b6493a65285fb72252221e7ef8ad1091bd96b32", "3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd", "2281d8282dc6315eaa5c31821310c1a349ea18b0", "7bfa04eb7ba2830a682a15206370abec49cffd2a", "0871062654a6ddd18dba940009676aaa1230f879", "104dd4963f7f0ef03fe09d505d31966666f9281d", "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "1536579229a334640735725e0b886f8d03aca1e8", "041755d1c14077ce18d8553aa40a415283edc825", "ce8c8e9fdbdd84adc096018bb0edb49b6913b946", "597bca76d9c983f0b71ff1143d80ea91bf97cb25", "110556d073a4d930877edc597a92995f0ff9d294", "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "28bf62416b5b0f3ca87332b83c3944f515505f66", "1295cbaf3b03de2eb8c79530289f5939d7819e5c", "3081b725e1764ec754bee1fe5487000b7adf7936", "c32b09f20badd9ce04309d7c5ebea88336a3345a", "4cb2d5ea093d52a9dbb5141bde20cbea576efa24", "eddd45f8b2febf3800db7642357731cb63116acc", "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "4cfd15e9d3c01028bcda22e68791a95aa54c2a7c", "25b9ef5c78dbf17c71e6fd94054dd55d66c39264", "0b2c543e0c47454c4512569175094e6cb6ae02a9", "5b610d9492a940d3e64bbf0cea8de4622e07d8b4", "efb01e07ee994fec890ad83b89c9b652349da50e", "eea248baa16162da661fbb9255e2cfcd5b9f0c05", "cc5d91b20c8769d1f040ff9a5166f76cc19d2d55", "233b52f79d37363d924041e047c6b9d9609cbb17", "2d541bf669dda499f86b4dd2ac4e263134a3cd4c", "98735e57075ed6e8ef9d98d7ca4895013492e35b", "36679b7ea9eb8418410db7a6e2f15aeaf1b8e059", "c98e5a582e9f1b11bf5244ed16c78a7cbccf36b9", "0e0fbead3da9e16b03894b63efc6816fa3ef6d0e", "18f9a6045ba01cb079c4fa49a630d71bbd27cd92", "619701bb7d73171d6311c9e14b8ac5919692d03e", "3e16de062b9cdeecfcbda0de022f1fc4e741a2e6", "80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35", "68f6b329044b01cce1660e953875ece2c3778c68", "d983ce0a7d249bb85d14a66a89225a7136cc783b", "e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9", "22aa426aeffb77339646cc03da8e94de22396efc", "19f73120fa314666c841ea88cb2b627aa67251b4", "24ff2797234e26bb2ffd4558eb4412df0625687e", "d31d4bb58f5dd67016e77352ac7600e2ba71e38f", "faf73a84c9ce13cdfc9014fa89ecde9927c8c84a", "d7ed61f57d26c192a75d088854d937d549efa37c", "528d1ad4725277b25f17c951c7aa637f58da1c9e", "f4af49a1ead3c81cc5d023878cb67c5646dd8a04", "9d27197ecc73ac0c3a664499c62975068251bf9c", "72d7c465ef199a9670b3da7a318b0227f5cc3229", "3fea412361b2d14cb3c6723968b421c1c8cb38e8", "2c761495cf3dd320e229586f80f868be12360d4e", "52a08919efb7a1d0f28eda82bacd9d495639a6b3", "59d0d7ccec2db66cad20cac5721ce54a8a058294", "cb8f0d0e529e27c67f04e748266f084c07679755", "a875c22ca30a99a013d728313420e418e398fafd", "eb7ddda1bfa709497af9d0b2010d61d659a1816f", "3f93ad8732ed2e92f09536ad744d1111cab93522", "1c5b168c29d1c8b3dc753865c741b9f3c56d0555", "76b61ccb488ad7861e9e36054f96195877f4c9f6", "3b8a3b4ed02a15b2ba329727596b704889123a39", "8899094797e82c5c185a0893896320ef77f60e64", "bf881e53510b230879aa0d3b02576043b8f881e7", "403537a81f9c295ab5770fd82abe4f7542be9200", "1695d0112d2e2c6df8bbe1d6abe18a457eba90dc", "10beef48f3a9b2c4a6c863edefe2cac8bf09b50c", "2fc6647858a1c7d6f51c4c57368e50677f30c0a9", "7897f6a19d5211bf6387f5c9e141c90a0cc84566", "947f2d465df60ec49f441f02733edbeb81dde2f2", "761de31c575bf30162b6e0d92a1800eb406e96b5", "8060ae8621a20e5cbf6e974aab12ad34c37e9651", "96d1bf51b3aa118696ce18dc45924e5ca8b9d885", "9bda68ea52bddf5365e3230761c95424ff1ddec5", "b674dae73fcb236ee951d8ae8a36be527d232678", "9ded64e83d3ba51513ea00de27c0c770a02b0cf4", "5fedae3bccf86052ed725e5925bb4ef47f9389c1", "5d1d45c89ec13f3b0a83078759bb1dfbac695102", "8e368144360042aad69703a6bffd56e1e72f2af4", "dbc359e95d999bf119353f51edcb53b2beb5b3fe", "de1505819e145b5c22a6e09002510413019f7228", "82317f5ac40e982b8ec5b2634f1214db259ca325", "8b485d7683e54d2b9c5d5ddf4ed31770bb323dbe", "0b888196dda951287dddb60bd44798aab16d6fca", "bb127015474fdc51d4cd6b4dda7176a8c778ea49", "e10ca043fae02972f19292efacddd8e0f216b70c", "030ab7710a1307cfa2159686dabd07e2b239fb10", "a3d96844dc4fc3b51f3b8361c72f156800794251", "85cace98e07e190494a5d88eba5e5b11538dc3b1", "8a12540c85c6835eb6fd36131107d82c50d2b8d0", "2dd853b617c176810e3dda008f7cacea6473f0ae", "9138045b7164876f9c2d6c5891d1f3d13a147d84", "bddf7da5a21a5d1915cc9ee784223adadbe0aec4", "76b6577f47d6782bf75aca04e361a7b7381b4a84", "28949c94c8457e570ba65c8382c993600f8404e7", "a4aa145b519a9515e1162ca017d80d460002ba5a", "442b6114ae8316c95f59acabe6de26f2b569cc02", "8e325b234e9cb67c285fc256c7e51d5e326952d1", "144ba4e9e64d4f9a5bb436c80c3c02b40e4092e0", "0489a21c77d1646ea3af48d678c3ad9645eef2a9", "9c0ff1f1e2c83f089cb6b42a91869428fe9a92b2", "fa2d3c78981ef0e19557e51d85b6dda05345c380", "c93e26b52cb22382ed2627bf32f86fa18d034cbf", "57922243faec5a60473fb9ec32d9adcd94fb6cc8", "e5918229f44f0215d73a0b9d5eb13eb56764a2e4", "f7cf4e0b1e371efca045e71996956be19aef0577", "00e19d93780ecf8f807c510a1105749d5bb1a2f3", "6f3a1216e984c78e7374b3b7ab05612544d345eb", "0199150ccad6479eac9d693a7cc0406935d877a8", "4c8dfc4720186799b2baf53c282a32ba3f312bcc", "10706113b871354248beb37fe5bb2f31925f7a68", "3921afded8bc8471d784df86f64432fb14b8ef58", "b29be8ae91eff7ccf001d48adf518bae86129be3", "2fcd5cff2b4743ea640c4af68bf4143f4a2cccb1", "d9519d66f9844fcf306cc205593a55cf01090633", "b5bfe824fc49fe78b538ac15f21c4cd6a9d44347", "3bcca85ad84806be6d38d3882f7a6aac0ad90253", "39978ba7c83333475d6825d0ff897692933895fc", "6ee2173c06c84cae6aae2912a4439ec956ecc3bb", "6220d0424bc7357e7e381d59baecdff91062ba81", "d3bbd57899d938e8c4bcafbbda10ceb59638e4db", "fd0769033b18038b9baf9e762f16973ee27be626", "b408b939c0f3be9cce0f84871a78a71d1684cd77", "8aa9d9ccbdf37fd1d9fb4f3adb778b3c2c9baa45", "ed7de328e2191463d42d745d8ac8f16024f95f25", "11da2d589485685f792a8ac79d4c2e589e5f77bd", "0ae247153afd87f98829359a8b5df0f68d788d75", "30795da8026e875faaffa3d6f2fa03c9c5d14c55", "2675a66b3f8743cf0551f284244af4f24537c19b", "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "54f688ea5de7b9156db28b2821e5f5ed0148605a", "02588064dd2b4b56d1dad214c1af3a7518832a59", "bb93c56a44a244601daad96a7bb94e41609afc4d", "19aa506d04d3f7241fc71b595d28b5f1bb99edad", "3979e8ddcf95fedf7a220b7d39a72fa120d436f8", "9bddd98289ecc7a8dc5517122d21d5c6f5a9a01a", "80acc73e29fb324a3e01113bbeddccacaf5283f1", "b4c48aa7a93f38d2eb60209120a1a8daa61c4545", "26e425781e4090abfae65b5d68eac72282dd2e31", "d6c3f9edf5459db8633f9155f55e6f735dd0ce8b", "f831f81f34a9c9dde41c5250b1a9dadf8ec8963b", "9645e8b4829c04879a642d8dd6b3cdf5cf264afb", "f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38", "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "40c6a2b1cb312f11f8225a733545fdabd436e347", "ad6dedc3f56b1ef2c083cb13c2638eddf208d49b", "cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de", "d9aca4cfe6bf49056c4bc6796414355a59cf5fb5", "d0593359627cd0744740ea50731d2b98ff6b1937", "1f0c7b93636f879bd5ef3dd915a02dcd813a053d", "402056b2d10b27c1b17dbb5eb82b95fd1cfd8fa5", "5b3dc81a490b1d9e69d7be20c4e8e1de886b5ca3", "b7c2798e136feb85847c8a9aa693d75bc3f9b08c", "372026896229c870f11bcecc1c81c80dad9c6761", "8d384e8c45a429f5c5f6628e8ba0d73c60a51a89", "6f77ff9990973a6cdad6b5b6022323bff9d03965", "146f6f6ed688c905fb6e346ad02332efd5464616", "85e283564fca1d1cf4d142647561901a26f144c6", "3e198f28343fccf502bc20191660dd090ba5356d", "bc1d609520290e0460c49b685675eb5a57fa5935", "e20daf69526c5da9cffb252d043fdc765f37a89e", "704b46c9c255cd22b4712dcc6bc417d6fefc1e18", "fb732b15fd5235893228ad3249cf04e1809034c9", "0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813", "3d22f972448a2336677ae6ff2877fae010c7dfa2", "0e23229289b1fbea14bc425718bc0a227d100b8e", "6950b44613b7a98e860d800fdbbe1693c6444729", "69c22f1f72de76dfd4f5b90621dad4969674da1e", "5820ba4c09695ce677a5aca6b0628c024303e60b", "eaf8c104ab14600ecc5e9cce739b55280eef7ad4", "dc4682cd15ccb7ebcbc8d2ba21b613e34a9af8ca", "1cfbaa9af05f0eea03ac7c28cc0e588687cd8343", "eecd9a070ed333077a066bfdcf776c51c2c74406", "b9566216ec1e5dcd02e3a222987f1934e44c773e", "8c3cf0c579a28890e21428fcad7f09175e65e43d", "478a1ed7dc1890ca9476dcc1befe7f21c9bf9149", "e559630c5710afb0d5eb8f95141e451393bbcbd9", "e6d8ebfd88ee333deccce32b09ee41d271af6dc4", "aea6dfb43df75b176ff209f5510a0f17256a4d0a", "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "e4b9c14951cea6259dd9d522586ba2c5bb1fbcce", "542289d1acfebb9d79ea7a10c8e1516924e09973", "75cea964884a6f5c35e2954e56fc787ed8f9662c", "2badc4c87a7751dd5ae1797bc4091d10d1acf442", "9b45e9a40313096abf530df3b98a1dfa1553f17b", "ad8fc03b492590a4282df52fe998d713995d0a0c", "7d035e6c6b5ef1267dff23845009284677c16a4d", "4923c6bc3ab501651763f6814a8384745f3d9a4d", "3ca194773fe583661b988fbdf33f7680764438b3", "0013fae7390cbd34aade7959b4476512d8ab9aa3", "00ca28c1c8005ae8d06c7afd0284f67c67710c43", "a88f86093e6f2d14761d4b8cbdcadfeff496c948", "f43463770d361e55fb6f6eb801a6e8530ab668cd", "30f33cffe390dfcc03d8df28593aebba6afafd59", "46d8531797d8913b05f9124def1ef81ac30423c1", "e69b1314cd65a115c98082a5863b92daa4dcf9f0", "6bfae88bea2301f2abeb6d1ed62c8b9a99b251c0", "fe8431a3b4313737183510d8f01003d48870d277", "99ef290d0eca8cfe8dc086bb1c4571e88eb876e4", "2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d", "8d0fb60adc54c168587bce2cf5b1c46ba2ac36e3", "e654320739770029ec5cb22174772c935478b237", "b80f43b42b5320578d4c1e214fe1a8b6b45352ae", "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "81cb69e401b3b51e49ec378dba4bc0c8e33448e1", "7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d", "ee5b4fc5fafa7e883d751557b5c7863503cd92d2", "18087bfafbe471f346c8b739522e64fa11e48b13", "4fa6a688f350831503d158f8f618c58d1e06bc5d", "ad8642e186c5c81d06934d4e6fc249b7cbca40e8", "189b02caa2bb9ffb303154e35f60797ec8576f84", "3b8ad1f2335fc755e5cd75ee5922b8a0d432018a", "ef12de45bd47e03451cde586697601cd7e36c3b9", "6cc46899b415ebef4a70068b2cbd8a50e955aeb6", "3d732ba534081326eb9de70f2e370a31940c2990", "5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89", "10bb4ef7a6719ea132e00f0ab5680919a4131d99", "f795b4ff67d3ecce0b988ecfc0589cc7e54f5dfa", "b9146b314812231d09587e3a9f622dda65d3cc40", "9d0c3adbee8098d47c7c0704e0841fa7daf8d161", "30f78071ac2bc965ffbf452a7b315d6dfddae30e", "9ac253caa50f7d94eead17ac12499226c0f05e87", "102e7bd7660357e1814c821c7f697f2eccececa4", "c2f1aa6395941438501653ea262df63c812e8f71", "afa073e5ec712423e300f21bcb2c3f17a69fa9d1", "af95ba2c08cf3317291dad554488dd951cd6ff80", "c4cca330ec7289fac16d0793da98f705f6513219", "02d6fb270c82c390476faffc6015b3116ddbb60c", "0dcc768631d9ede8a3679e980b37204b782781b2", "11d256be1eb3da7789c0c9672f467079917baada", "cbe6739ecdb23d61f2ff74481c6b538ef953eb10", "a4e1a95c32e9477aa1b09073a1fd3ca129aacadc", "3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411", "4f9beb035a3d196f653e8528303fdf9ded998e22", "87e1ae939f3632f26a9878fe32674e338cb18094", "7277fdf51bb3fc38f254a5546c53caa4169653c9", "32812f35efab1fc5bdbcc17d67f27bba31c720c6", "b6b9d29d25de42d78f09217c9cc457247d90fc70", "eb7e0dfc61f3f9993a39316ccaaa263059b3a108", "2198a3d3342442d6ed6608f2e2b0687f644b67d6", "16beefb2f8d0d61e536bf20766e485499906c2e0", "340e55a44793226a51ad06612f340f2c520e3575", "edafa697ba68874d608015b521c43d04e3584992", "833ada09759039b7c620b8930a50a0521d70b2c7", "6e09a291d61f0e26ce3522a1b0fce952fb811090", "46253ab8721ced8c9b94234f3a2401efde1e3f2a", "402324c77b7b4040810480d6947c7db92d491308", "64e2ea4ca45cbf1a6ef35f3448c5799354e2f603", "858a2e0ca7ba129fda1a92959abe8770eb303bbe", "14c2321851fb5ae580a19726dd2753a525d6ad76", "8176e3aea16595b3fe6afdb6c745c9eca98ece06", "f5ce3c9eb539d2f4a85880db65ba3890a0fd8c6c", "2bc70a13426c79c192c5e57f8a0041d8ecf628a8", "9634348d3bc7b86d0b644f6c14ab0c4294341905", "8de065f412a7d739dff40044212c8506b5c52bf7", "80ef252a17d343ac7b12485c117d6df4a409dee5", "bd2a3ad4f28757791c9335033f39ac31cb84b8c7", "068171535ac18a4b7b65be0748d483ce4c71a9a4", "8a1f46d56ef6dfa34412986a802b5affe2512000", "6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe", "2df1688afdb470a9d9eee95e41fc34ebd0c9036b", "ed605dc1e69dccabf47044499e7ec26e30b72b58", "2b45c35aa63180ef83e7f8e6f55405db9c688b0e", "ea743597a5f48babef1982259566d76a9bf66bf2", "2770af2c74f9b82f2167cf5773ccc94d482ac8d4", "c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2", "43eee49e372e5299608a79f8491fcf40998028df", "ff5869f420d33511c22e60bbcff072c3cde3ebc4", "15a148957469bc8b91bd7cc31aa1f0c6584a1571", "f43012db4836cf671a2a095413ba5ec6725e4a41", "ebe7eda4fd10caa326d57b93e8a1e2a13e09a403", "48320a4be9cc741fdb28ad72f359c449e41309cc", "1334d274bca9c94fed724ecfac7e36d3789aea38", "ccba451687f83c463deeefb69c1f4a781de2d638", "0219ced7a3afcd8e7584b24809bac30304f9288e", "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "663617c728b18e333acb5279e9b1095eeda9287e", "15147ca5866dc5fbcfa0d91259798599004d051d", "6d880f543e583cf1ba4333be7f3845de4dcbda64", "59f4df3087c22e0e13574bb7d20e9d41e74cb9a5", "3fb61e0d133d0971c853b8435fea99150e15cdbb", "b93cd1e6f1aee81f4f94452c0091d11ee0cb8af3", "4c33746fc5688da61059daa93978ac887f04cce8", "4f6d8d4d460517297b419242a7e9ab3f9a307a72", "c682ff7a573082c5b69880c4bf84cdd464b70ae5", "1baa9fdfb27f561be67c52ef55b0e3587f306cff", "2dda7f46bbb8684a3a497dd40aabd4d759a62386", "8b35c00edfa4edfd7a99d816e671023d2c000d55", "a0e03c5b647438299c79c71458e6b1776082a37b", "14198efb1ea9d1c621dcac44e9c5aad349c0d69f", "72976d066d38d3d378d75dcf1467b0a295acad6b", "7fda1edac608bc67e55ac3d7c9dc5a542d8f8aee", "0b938c4a993e7e2fda81426924cb91c108a7830c", "94d177db3f198a3571576e562b4d3d9e816eb3cf", "4a9831e5fec549edee454709048a51997ef60fb7", "c41e483fee61e5040eeb49859a481352f8e3f8ac", "4041cf003f797007fe53ac89fd57072f97257abd", "c91e94e981084f5d9c3c1479fa90b8b091826d1d", "23a0cfaceb35413bd6caad437e37d566fcfdcc64", "9d5a5517650d5f9a7d9818bcc1eb59ba65d316e1", "44674b020e9ce46b16ffb72952a7cacb40d01657", "f87aa7d7b746e24e3b08fd3375331068ecd13311", "8dcc95debd07ebab1721c53fa50d846fef265022", "3bb0ab7ebe1ffb83aa9775ffe2602407c9d6329d", "e7d6fc6daf70a30993b57efff9a259bd418c5c91", "01cb4071a0a43aeef63e5d568ad5afe1fb8b2411", "93adca9ce6f4a0fab9ea027c90b4df828cfa10d7", "09a4f1b7afd8d5f6854b23f0aa9e80b9a0fa6d20", "85473d7bd0b73488f22d8443583165fdbd3d221d", "f9a14264ca328cfbd817c7458eee5b18592e5d54", "86d9f836c5fc542e987601a102c2b6cdbca1d64f", "ab0715642330502d5efca948e4753651cb004d84", "c719a941d3ab00e45d1d74e7533ed59cc0740ae2", "adc55a30b17060d68b5092dfaba52243e39c68f5", "8f1fcd6c3007f48eafeddf5f517c1197b2aab9cc", "974aa04b051bd2493bf4aaa5cd410dcb8f3b264d", "3e6d2e963f9a1b417871327f648d16f2c66a4068", "cda6d9b0cc1509ec61a43e24e9b7a14b18642aca", "9a8662189388dd84ce1ec6e90d103959a4132a95", "33bcc97b605f00145098d095be2841a1fa6b9a95", "f28e2bb46e49799589787e466c3ca966a0897bf7", "bcb35a8eb4cea46755c7430618e4ecfa4647b360", "126e5a90e12aee34d33e6d301ab9533acf03c199", "9c1f5547d98f5390e2389ce40668da83a9830487", "4b59e1fbcd68d616c9e5d02a62d332b0b2c268c5", "45dd2a3cd7c27f2e9509b023d702408f5ac11c9d", "7f33a5fcc5db4625c66972f0e6f06540b64d4f1e", "02a4e2569b8033eff87099ad402f251d02213cfe", "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "237c0c0749aaab0f73ec0641bef2453714da3099", "87697847062e7eefec99a8c3aec888e3eef5e5b9", "15908912ce3943fc5ec281c1cbf062722cb114d7", "ff23167f18723faf41265cd36ee2cf1de45a3048", "6459cf454b87fded65a223a30341e5304519a6aa", "47b4c33621bc0e636d6c268ad6acb319e12abbee", "7f836c047bc86d52e3a28098b53311cb2186acaa", "5f5068645a5cebf923093542302c1fa21e387cee", "84ed65bda3de8a17526a0ad06ae3777fbbbeef20", "26d27a6de0360ed690248a9dd08e4ec0818472b0", "f85be6a31b74d6da6f490635d314306d77d0b6c7", "21d7130230162af2a4cc1b9375bfe9b37dbbd499", "bf8e413869e96afa15ef3ff884cc7739eafa8308", "516d57bbd02a6938a99b45691a3d7864c2fdc70a", "efbac99adf8628aae7f070e5b4388a295956f9d2", "d0a934ef5b4edf7ebdc2276048534e4c9acf5a76", "015d25f66514ce0a966300944201d45968a104ba", "47f8a217de3df8d70c3ac7fac73696a9104b1294", "ce9287a47f00d06ef75fe3ace9adbd7691b6e844", "1fefc1d288a87fe218ba25024c4b2b6ef345738e", "c7132da9421bfa06fbc859d6c3d6e621bd7bf472", "c8b592fcf2ed2f75799b94c428d2ccdf1e82c5f7", "ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa", "d4a7259340ece685b9dacb390eea10c6684a05b3", "c562e95b7906066be4210d00c4f6187475e6e13a", "a24a0126f76ba1423ac3548ef95aa24ac4e670dd", "4328ec9d98eff5d7eb70997f76d81b27849f3220", "e304e516fd4e1499b616f120795600eb688fa93e", "438d4c181362386590eb703c3b65934a6acbbbdc", "f660ea723b62f69b9f4c439724a6b73357e1d3c3", "bb9e418469d018be7f5ac2c4b2435ccac50088a3", "4634bf44a0c994e2bed89686225f8cef601a0224", "acf13c52c86a3b38642ba0c6cbcd1b771778965c", "fd716faea00fb6ec433a62c79aced17d51de8d23", "1687d0120e937d5efe2022cbeab19b38edba0608", "dbf777403156adda2d551a973379edd3e2bc5aaa", "1779b6a17ee68afafb6801477b165f19901689b2", "07ca470ed3be3a476b6fc1917bbbf4182846d1db", "9dde6ed569684356c46217fa53224272b668bae8", "eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42", "c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f", "1be7ecc7100bb5fdbcff7f5f6191a9b57165fa2c", "290941887c37547462285152ff82796ad71dd757", "cb3e91a4c800c60c3f734dd77a64ced7d81e570e", "4e83df2bf849eb6af24bf919ddc7bb25c7249c39", "e2c122bea06dfa067712cdb58ce474144f93af07", "bb1dc1e9e9c20d99b55f37b9e635457af86a065f", "3e08a3912ebe494242f6bcd772929cc65307129c", "47a2b1ba7e4275174a017a290f2e5de7de0acb00", "50ab5859994c76dd69f2ef6c770888408d9ae5d0", "6c0c368fca391b4456e64d2943d0bcbe6d8e1ecc", "9120d59f2ca86954b45d254cae1409cb0806d9c7", "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "857fb344977e5181bf5a99593ceba09a158d412c", "a799babbbd56a047feee85d09e57e2c240c5f50c", "d4ea0438b6c0479a7d7611130a0dc242a22f93eb", "aa74e63360c341f47a921e0043c5d58d55807fe4", "ecbaa92c289f4f5ff9a57b19a2725036a92311f5", "b3eb61c3542e0c6bafb4c1acd05cffc0970faa85", "904b322a61d9be9c0b1023946320f9245533085e", "62a5f2a142fe636632f6467176ab18bb86e6398e", "d2796a0d1ba7ed9287a9db6f4714585b8508871f", "68d96226fb71daad7d1a4ccbda267062244d9bc0", "f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f", "5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4", "23ef40af4fda9c7db8fd7596d34446303c378793", "ee53c9480132fc0d09b1192226cb2c460462fd6d", "b0760764dc573b519f76d5a79531d49af333c67a", "5fa587381a9e4308163b3a5395985f0375c3cf7d", "0abd1a332717f540f1e3297a9eedd9633ad9c3a9", "2f005b31b41face8a8b157e2ce7f97ece5b61391", "51a03fe7cbcf5c650b5dbdba0bf14be8a45cbaee", "85a65932f30b05532e259a99bd6a179af20ab267", "1ed5c62eec52380c285daf2ffa7576d96e4ac150", "6f1c84d5a137ad14e5de9a8728fced8044d05b79", "5abc8b9ac261f320cae1ce6676a3f05038b93436", "284af686292a6119129b410413831f8d2363fcc6", "60ac4be07ab4b20e1b9d0879e9553f05ec581867", "73f1a3d88defbd5481214e27da7df501d0e31fb1", "a98b63516c7d45eadf8cf4045ea114918eb3b636", "3361905a9ff903142e50d5b608f4775f1c5bac1a", "f9255703f0a89c9ca2e9256595a0526829ff4402", "02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b", "7e163ae363b62b708566f348da87750284860822", "e4d4346bd415c6fa9187c16a9b7f5c69f48f1ec4", "0f1c436aa7b1194e8660f7352315497c38ade853", "e8e43abbc8bee64a53af64ceca90bfb687f7bb9d", "c5b9a96fcb07f538be3181922e5f1a24a7936783", "fa5ab04ebf64de3bd57bd0729ce9ca3440258acc", "d5673c53b3643372dd8d35136769ecd73a6dede3", "456983805a8781d6429bed1ed66dc9f3902767af", "a759570e6ef674cd93068020c2e6bd036961f7c6", "e7b92fc6e2f1a13a3076a48a78e03badacb0465b", "c896502edcdec38466e7d66f38fb53a57c8e05db", "30a68bea6a43c239d899d7f02bb8ef9f3c5a8f47", "1daaeae28270b06962eb6fcf812a368892b5dff4", "fdce9cbe5c726201575b3c8a8c1af0752f1af53f", "97ccbe3440e5a574b37753ff49165c7ee97a6eb4", "91bb3680cee8cd37b80e07644f66f9cccf1b1aff", "2a4bf8d096ea9b6a84ebb6cecf98589a76806777", "7c4fdcda302b93c0a275420ddd6e249c565173ff", "a34de6e26cf34257d6c2fdc9a1801aea46c00b08", "a213405441c68a0ce415a4a842bdd6ac62c1667b", "38e3c26829e38c6b56f7c541e0c4445820fab0fe", "57bfbd06e94c5def35c1dde901bb4f1c839dbcdf", "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16", "729a30040132909cda0eab2c6c4ba60d6d1941b5", "9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad", "0ac43cbd4c25994ea2687743c5b666d498831687", "95f74ce5a69fdcd2abda908724d2ab4977e72100", "24aee34d1fb3cf5b1cddc2c6ef9259506be4e9c0", "01100c14d0a06376dbb0fae6fe7995f7b3aed8b6", "a1b5b0697e46eecc9657954311828cc9b4113a26", "ad9b3dc6c0e54070cec79df86458ed38566da1ff", "ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f", "1cc85b17137c4d6d75e4c418976e7dceb3d7559e", "1c0d70587340adc412c6e2afd71012d563c1e724", "2a74b00daa80e64cde5256bc014d1b011926b97b", "40c1aec7e0830bf9dd8a689d671024567311ae72", "3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f", "4d1e28368e1121872bcd4ce75bc7ba5e43bd42d0", "0e5d673111e398f6c083623e31c2f498f0bf7b5f", "2595319371a06449e3f8cef251303aecbb9e731e", "431140620ecf6cbb7c4118a65f7f2b8f48089647", "abd4152773ebb97b90163b9a6bbdf2075e825481", "8481d4160bf5a9c760b5c4de60c82f102492317b", "72f8df596eb9bb3a8c8206329083c42e70fcd9fd", "1eeca84f33079c6d7a95daf8994370b2d7a93443", "b3b85d0a697c9b0309965151dcc396eb70adf46e", "84036eb97d011ed2d7c9e4eb14fa346b5347c0ad", "2b0134725e7400f2211207fbe9bfb402b9fcacf3", "1ca06a9c5e80bc0d4011f0d6f6ccc1a5ee746844", "64a336f952ec67f85fe00092847d50dd29e4cddc", "d42142285c46207a16bd4294e437d504e419a9b7", "ccd99008d942b890cecd308a31ba61240eac9e54", "91c184e7fb0c7cce5319b8db85c1488b3861976f", "cd8398e82e0c0cc4276a1694fd333214ede337ea", "31c197a0e30f1aeb1414634968d1649e74cd8d0f", "5b8b27d1339d788eb3e0e96888c3633a7b92dc1e", "8e416d760feb5f23bc1a6dab98eb1f6e75ab8907", "da437db062e751d49528914971ecdc868b557648", "2ebadff3e2a573c947d49aba987e7917a9285ce5", "f6ce7e947f1cfe75abda61f018c3ca7e38fceb20", "f7186eb3d717694d4ab1730a8d0f662e90c44d6f", "35c5b84fa47e5b6cee201f831507f62482ccebcc", "256623ff025f36d343588bcd0b966c1fd26afcf8", "a3be1951ddb2fa2682385c7f22c2904f5c22a66d", "d318f3ca49f7f2159b9fc0face08eb284d5442dc", "012876a5f45da258675add1614ad7608a210141a", "c5f6ed9efc222fe2773135ffb4e5c567d98e64ea", "bb4650130c460f413e97b0328624a485bf094967", "e7928bd33d09fd00a588617736b102063ca9d070", "45e2aa7706fcedcbb2d93304a9824fe762b8b3b0", "ab6c09ee2e466ceef2492f16472aeb76cd34009a", "8f45907fba8fce5e9d958cf66cb68b406858fbb6", "f672bf42dbefb6b40921c00a05f60284934e9948", "c0343f9cc5f16166bda83815812c4c71ab3258e3", "e075c5ef9d7d4ef77c92008ffaa7ac12e60383c1", "a133374b9630bbe6eb2b7de8c3204aa57e75c582", "ccbd7e417158e7ae0f9f61c3b6d1e5a3317cce34", "aa09ade36424fd83f067f234baffde294800e705", "3fde03e7479f2fbff16f7849a2d038dbd29b1762", "a25c32ea0292af5eacd6e9e0ed53b9ff7e65433f", "247b14570940601f5c7a2da1db532ecf1c302288", "bb021f58f8822d12f5747d583a46005ade4a0b10", "2fa45a5b0421578a9a0d5124678dafc689e2bf82", "a7066c13ba21817abcf8ff955740493adf95b02c", "059582bee125512b127296364e7700ebd9f80436", "c580b0a8dc655a8831ddbb7954bb929b1f236ebc", "4ecaa651722a98c2847377f3ae1c70294b4791ce", "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "52d9ad99874f6b76184ad9abe45e824a6568617b", "c5cfeac36fd9fc35de7752cd2c63939920eb1eb3", "72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58", "1db6a35c42e86d5cd64ad2a4803fd683647fab96", "8efb48fdb8616da5133efb8659cd96c53529f76a", "71afbb37a81a44299872bee9ae888f4129962e18", "3244699e06b145ffa65d0fbddb2ce6e5da889418", "9e64582b644481a734b018304a22b536886ed024", "c85340a0d428ff0b47f1a4d92fc92157cb7664f0", "9d8747468f0fed8e335656d7fe9737e4dc21c798", "6bd1f2782d6c8c3066d4e7d7e3afb995d79fa3dd", "e096003fc0dad2a09334044ebcc01601fdc0afd6", "43c5be1f64e0135fb3d6e43a9c33caaaa58f7213", "9f545b9006970f7626b7b121c5c3c66204f1ba40", "80fc9efde5bb28550d17363d882fd5bc6d805c26", "2e8b08c8df95d2ef8c0d03820094608e9cf456ab", "8331fb280f083767fe85ba476862e519e0275233", "350af77e01e78e8e3534f42b80b5dd35a602e73c", "54e0b4f63e6ed966d76b6ef83488249fd09d3a43", "f11f609facfb650ed8e659236a04bc0a664cb665", "a8773da25b133d258132d646024bf5ffd5694302", "666e08b6921a28fed75f35dd70d322f0edc06e41", "0171bdeb1c6e333287be655c667cfba5edb89b76", "fa93e027e795e98405dc72f123aadebafc5d80d8", "757b27a3ceb2293b8284fc24a7084a0c3fc2ae21", "0d4dbd59e42e615ccf6cd4f71203be97afac48fb", "df5094b2e8cf7e3bde3943ca7a56eb879b8e34ab", "4443d51f54a9df679efc5ae65115f60f8e58a1a0", "b8298cf0056af5afa3185181ddd5f6bb03181696", "a8fd9be2f7775b123f62094eadd59d18bbbef027", "a71b99357b0952858f98867ed0cbc87738899e1a", "faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9", "7a9fe5781220cca6ca600833015f200a9c03d50e", "d5873c4f169227ab002366db3b55d1fede9f473f", "55af092ce75ade8a26d2afe97d57de2191d44b5f", "91a972eadf78f44bdc03cc5ebe27899091bc94e1", "55d1342900e0abc59495afd44cde0a0052367b42", "6583d293734d56c9dd2a34ffa5887c6c323aacf5", "4b4a174f46ce03caf1ffa4addd074aaa70539f35", "aa6f094f17d78380f927555a348ad514a505cc3b", "bfce448a3409d87ba281de53ed696b09119f2ba9", "885d589101ab3c09bda20ee9578f2c6d2f6cddfa", "1553084dcbf2235428e7dbf57b57e567c5ea4d1f", "66c6aebf10410a11623e32e23295213dfd7c557f", "267c8798a5c602dae05908b63f031dbdb81fc42b", "a0a49f50d9b76ad4ba7ce5acd14a3d4b31a520d6", "333f083671da1010cbb080c6ce607ed87c19d73d", "d7d2a1d42f0e3182d538cf8fb4d55f3e9d7ce779", "744089e18ef246785cdec2875d2b3872ef1d71b6", "ff772950f66ac6a57f4201ce1f02f0013ccdc1bb", "e56c99e8a94d3e585166fcd66f2ab6da60932f09", "135c71101af5d030f8cf470c454e7b655d699920", "1bd9db88bdab930f0dd380942b65c1449383166b", "39836fbbcd2a664edb31119e88870c38b83df352", "185e7191dc5eca046d90205527da597b6ba9ae3c", "947c973846f2c5f8f42225c1108810bcdb4a7015", "1e55e9c647832c969e449da28a391205a9704c60", "3a0f23dcb731762f9cc968d63385183b301eef89", "8bce31108f598986558e9afb1061eb988ea4f3be", "7c7af300c4780ad01e7db4d60fbf89771672585b", "fdbe50ca6741ddad66fb289960624627c6869cfc", "1855818c492d5f42dbe14814e4dd9b5733d54790", "f857cdf601379064bde3d4738f40aed30e266dbf", "8c4c723a74fe479c2b8af7d911817377dd6d85c9", "e0c3c1b9744a695cfeab11ceb23069c38844932c", "2c28c95066b1df918f956f3cc072e29fd452dcad", "fe0edc34d9bdf51c1544a3f70e83917e5d917681", "356ac139eb92753d710c1cd6bbb84403b8cd711b", "e431de776590f52a5ae2be2d71900136c91b7136", "d3a545bb8008a717ef95aa981295f38e6cee0d9d", "62a6220c8cb5b74e958870e52affd9e7542216fc", "3b1860cacfd59893bb0f7e131e982e9bbeb21e87", "bd4b5fcdf801b13d51083f3f7809366751c81c09", "3f10b9d98a276fb9e21e5742ce88bc7f48629715", "bb60196acdd4b0870cd0dd7f5a7c712aa042b1d1", "afc4cc092f990644ff7a11dc7ab60519920cbc9d", "bc6a01ea112d45bdded0bb2d34a4782e4f6f16be", "0c65245bff0004961a5173709400479addbb9ee1", "24e680c5e7f59b72984ebc344dfba0f9573fb38c", "2e84deb2fbc518c0ed0ba4158fc063060e5ac1b3", "84a3478cf884b0cbba480c7c36dab565e778094b", "fbace36d9161fbd062eefa0c005362bb210c7097", "bbe3d39adcb41ad2824204c0b0d299d77c2d8363", "d7443ed614548498a390aa1b83c74069aa923074", "b20dc4906fc021aaf8353df98f8828d99f951c3c", "f42099bcd6cd13146d96d1ed15353a4ebc1f4d9a", "f632790471b2bed7ba7c28b12cda9360ec586a63", "7985ac55e170273dd0ffa6bd756e588bab301d57", "05357b8c05b5bc020e871fc330a88910c3177e4d", "9c11b1552748c697bbfd33c157f7b7875686eb10", "bf2793fc09176f8bf23b3a2b3c6b32185e8a8329", "0f54eacd2d9ad031a0b55166399e2f1d0f70b4b5", "9a33c33190ce0c1bfffe2896ce162b3be05bc9e8", "052373d7fd12145c41377f9a05513596d32e409c", "26203d84466488b168745334935f7ca82294e3e4", "8b059a9851c23067afe247b59e54f3167caa9b34", "3796fe0e5dd10b01fc9fb486d09e61b28eedf915", "11a8cc3fa18ab4f7158447cc1fc8800489e82f9c", "2e78e804ddfe86f112719d4a237c882f930a9d3b", "5fe7add7bb041eb52c9983fbdd792bfad1af9992", "c2021d9652bf3ec3921bf9c13a06e1ea51588d54", "6fe1439e40429c7cd7029ecf83ca6f36fd0c8040", "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "bd37ff771acd72ebdf4024043cb62fcacdd3a82b", "a9b219bd6ad71394ad21929fb5c50387698f340d", "5a40efdd3a50ab2e3bce106f92d921713ef068b3", "79a05184a6689800fee40bbb95554ffeffafeee2", "745a913b6a3dd28f3d1c583e80497d6d627a9ca4", "a43280a668f12cffdb7b4c9917984aa55b12759b", "4d86a4c74201c0d5df9a4b259a70f2221a5cb0cb", "aa7914646c6a4bbad0727cb84ab9b05e5b381af4", "8067d5d3fc80abb010b239bbe012b50bae8e6611", "04a5b47caca62d9351219726e92c08e60f74d652", "fc09e358a130e88dead33bf6bb2cbc0e94c88291", "1d82e7736268917cc3d87a2ee0896b03e02a5ff6", "ca673e6c11000459e3ac27dc4ab5f29177d04fea", "e4a5ff03ac258f1bcc9c214c30497610b3d5faa2", "58d16e23e1192be4acaf6a29c1f5995817146554", "d7cb7ca97a665f23165b3c5420e848563cdf1f15", "38b2e523828a1f23ad5ad4306a0f9fedca167c90", "1b7a7d291235e4b6e5f97722124070feb26f3cc1", "20a91b0e7c2598d327169517cdeaafc433caa700", "38262d92b09564aba747beb7150b92c92998170c", "faf40ce28857aedf183e193486f5b4b0a8c478a2", "6864b089c8586b0e3f6bd6736cabea96b1c4a28a", "b3c21608a4f78ad3d436bfe005d5c82c941273c5", "210de355b1e20a57c98608b98fd2bb8a62fb40ce", "9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6", "7c3c4c64cd5c0d962f8f0c875dd86006cafe30b8", "e58e8163ab8d74aceea898d0955e71936ff336ef", "80d6594a2649893bf67f67e84c1cda802f2f296b", "ce54dd2b0c6c75208ac77420233419066dd0117f", "2ad868dbac32c0d6dc100b2dd02e52d79e2e035e", "afef6c3856cbc5be8328be5025e900b541ceb883", "c67844afb694bae09deb472fc1f97051d43e63d8", "e819a577c57c83a133a0a0e81180d14dc13b82e9", "dcad0ff8ca4c60d69feeb1f642019798b52ca981", "1dcf08c37fe2e8e78d3f1857547a965a0ac29526", "c1a63923ab7dff0fb8ee264866e10b374bbc939b", "55130f5103231a5b87de67ced5e42c9ea6c0208c", "135b95d67996d88e6208b6061a50262035bf3349", "b89fc897a5c538b2de462fb68bab4e588eab68f9", "28e9cb6fd45dd5d6c0fc86a99c9bd4186a9b760f", "3e75e6d3f55e6db9ef8b140dfb68bfe9773e8f40", "f1cc060b6adcca3f8130e8670230899160d26848", "b8345f687588867bc800a0c149d59db4b873160d", "fc836ff649af617c986f273ac3374261ec811124", "cf103f2fe5595a55f918ecbd9119800f4747fc8e", "87f1b49dee91ff0065ab4ed1f0ddb74fd0af6b5c", "fed3ed2d361411d324c664daa127be5edc6a1c8b", "52969cdd2c5eaccb534fe1296a61517b7ec42a54", "47abff9dcb7cd8628bf3bda89069896ee2f356fb", "d5b37090422967018477439c25f672eed2f5110a", "2ede43350eef0f579d5abcd26dfe24afcc3ad05c", "2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad", "f8d434471c2850c5f1d0757d42142b655fb46ddb", "72a672cd20a3b7b2a123772ac0f9a27cfe96effe", "2042f1cacea262ec924f74994e49d5e87d9d0445", "e8767c07279240ec65b01c5c835e7b125d7baf3e", "24b476b0851d6d5d276814f3034b8a1ce3ac6905", "39634443c52f43c815735926a7113402c9b737d5", "7aed6480ec8882075c7f8fab20b7d257acd65ae1", "d793dbfd0918db614ab0655815ce7f9f118a6046", "75a59bc6938fb2071ed01a5fe8e88781e43a5c3b", "6b35bc911a868ef3f66c0ae44a7ebebdaa61ccd2", "cad8aa5fc13325a83649dd78ebaef27159c0d5bc", "b212f642007d6ba21dcd833c673b11399e7abd11", "84881da6fd1da4fe24d8b39f960f7a2fb71a4197", "00972c31f6e679efbcff85f8d2059e9732b637bc", "10aff52a74c75742e6b7379e581a6760f80ae8f9", "c06ca26b33ab2e9ce118ca02018be5834e8164a6", "98d4dc2e5b47a26a367eb074f5f3dc6e86befd98", "1665835aa8146a71dcb83e12dede78e3f3f06e7e", "06e5d9ad3363b8834229bf7e055a94092994e097", "4bde15a51413fafa04193e72c15e132e7716d8a6", "b0c66e95b5eb36471bcdcdaad7d9368556110109", "778952cc94d5baa5132ffbe2cf342f80032f5f73", "61fe4426929c3b066b93a582667e3f0cc3b41959", "bafbab2e61fff00c72d8588bcea71c93bc107051", "f34da922171c839debd53af5013d0e5a33ff8681", "d3fd06f74a84e48f8403e6b8ff3ae33292f8883a", "8c71e28a4ffb283a9cf3c5549e2fc64e9b0ecd5c", "232384b7a252003af706ece11f5db4461cb46e44", "3a7f9b4badc7407273325650763e887ad7b5cc9e", "1e0c050ae39a1279ffbac98e42253bb0672c5d36", "f6136ee2e56e5f3abc42049425794073aca306a8", "120b22e7a47923e42a123b9b68a93ccac5aaea6d", "f68255269d509ff617c2532bd2da71edf9576efc", "c7b8783c5db016ea819749ef611e5d70571972c5", "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "0db1cd7a4aed9d17256b02946660a2ea902d6635", "303828619630ca295f772be0a7b9fe8007dfaea3", "5b01d4338734aefb16ee82c4c59763d3abc008e6", "7d85c3a1bae00efde989180f90fcc3b42c4013e1", "600f164c81dbaa0327e7bd659fd9eb7f511f9e9a", "b624d6eaa1d21e2a34e1b9bc34cfe2159ed39449", "dbb1871efda531c5340a49e147173c374d069ad1", "c222f8079c246ead285894c47bdbb2dfc7741044", "9c3a25f7f8ac74cc3e5335bc06ce85f16edc13ae", "ba1c3dd512fd1fbd7325d63aad435ff07196755e", "63a6c256ec2cf2e0e0c9a43a085f5bc94af84265", "65ee4de888e5b934429dcb126ee0ae544156c9bd", "5e48958c1c9ab9ccb5c9e1a62b81532700d38d83", "b26d23501f8e9f89ce822057a6c645bc9a634b2c", "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "a7127869e36c05e8bd0b7a99e645cf22d6651155", "46b960d3d871b2ee19d1b8e8838e7036c2ee56ed", "06c956d4aac65752672ce4bd5a379f10a7fd6148", "392c8e575f8520bb880959d494be0911d091b525", "86afb1e38a96f2ac00e792ef353a971fd13c8474", "52e181018aa26df71a02ffffaa1d061fc43cf09d", "f92ade569cbe54344ffd3bb25efd366dcd8ad659", "f467eb5e7f9d49ab318401f961109882c00f2720", "9ace71283834d4dd72509db6f1b859536f801d1c", "a146c83b0fddbc5edb5850e1833521c356f1fc0c", "4be3d083e05fed1adc1af3dc4a119b74590b0eaa", "689d6bc6e99bbfedfabc0654724139348dbae37c", "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "636b8ffc09b1b23ff714ac8350bb35635e49fa3c", "19f076998ba757602c8fec04ce6a4ca674de0e25", "95abb8fe71b1208c979ddc62e4f3b333735b3a9c", "55804f85613b8584d5002a5b0ddfe86b0d0e3325", "f4210309f29d4bbfea9642ecadfb6cf9581ccec7", "44834929e56f2a8f16844fde519039d647006216", "c7de0c85432ad17a284b5b97c4f36c23f506d9d1", "7a595800b490ff437ab06fe7612a678d5fe2b57d", "67b79c2336b9a2efbfc805b9a6912a0959e392a9", "3888d7a40f3cea5e4a851c8ca97a2d7810a62867", "1e5ca4183929929a4e6f09b1e1d54823b8217b8e", "d4fb26f5528b9a1f04ea773cc2b920e01fc0edd4", "28e0ed749ebe7eb778cb13853c1456cb6817a166", "84ec0983adb8821f0655f83b8ce47f36896ca9ee", "60496b400e70acfbbf5f2f35b4a49de2a90701b5", "5f7c4c20ae2731bfb650a96b69fd065bf0bb950e", "bd1fb02f120c335a107f9bf4cb598fc27d5811f7", "6f26ab7edd971148723d9b4dc8ddf71b36be9bf7", "b5d7c5aba7b1ededdf61700ca9d8591c65e84e88", "571f493c0ade12bbe960cfefc04b0e4607d8d4b2", "3ece52e9d54df421ea11a59be022e4ac3967b571", "38861d0d3a0292c1f54153b303b0d791cbba1d50", "dbdb348e58a98bc170d8c52590ea593f11ddf805", "3c63fa505a44902f13698ec10d7f259b1d0878ee", "b5402c03a02b059b76be829330d38db8e921e4b5", "61542874efb0b4c125389793d8131f9f99995671", "0699475af70765d0810881d3536b44a3c1d745a2", "96ccd94151a348c9829ab1d943cb13e9e933952f", "718824256b4461d62d192ab9399cfc477d3660b4", "2d146cc0908c931d87f6e6e5d08b117c30a69b8d", "78f08cc9f845dc112f892a67e279a8366663e26d", "2c8f24f859bbbc4193d4d83645ef467bcf25adc2", "a5b15979d5815fd8c73f76ac7f46b292e5abb51e", "0b7d1386df0cf957690f0fe330160723633d2305", "40a74eea514b389b480d6fe8b359cb6ad31b644a", "e200c3f2849d56e08056484f3b6183aa43c0f13a", "b61535c6aaa6d13c987dbbda564a68daade7fd5a", "113abcb319c4805c7678371522ee875a461829c5", "23c66ab737367a96f1422ce5c4ff8421709ef70d", "5da139fc43216c86d779938d1c219b950dd82a4c", "0f2461a265be997c962fa562ae48378fb964b7b4", "d790093cb85fc556c0089610026e0ec3466ab845", "33d6aa6c41ce3000161d9b5eea910a5b78e14330", "68f69e6c6c66cfde3d02237a6918c9d1ee678e1b", "33c2131cc85c0f0fef0f15ac18f28312347d9ba4", "6225e9c2a9ee47b4d3d58313a839f6e170b48525", "c7d7cf88d2e9f3194aec2121eb19dbfed170dba8", "aeef1fcaeb3e5f3eac93ee275426a7f5eb586e0b", "7a0b78879a13bd42c63cd947f583129137b16830", "10cb7f4f86c6437b496a1c98955ba413c7540cd4", "f57da17ae46f31ad6322d2dbb59e16f23c2efc9a", "bb0071e21e1f00568ea80dd22c5bcef06bdebe2c", "5dd472415b64c3f135db816e8242e3c7879a4163", "71559cae0bc89398e75a2f24674d61cb51909390", "8ac4576ee9fa02e3692fba9f4c093e835d7a0354", "2e2017a7c315ed7a0628db7ca28bfa1220cef675", "411eb3c02c676b80aabb9c1455cb581320834e38", "4d6d6369664a49f6992f65af4148cefef95055bc", "4c2f3c6384888ee81453b01bb81f35871f618c3f", "48bf7357723abf7770400d68f914d6a7ca5a1a5f", "f8a0619d7edbabf0f55e1117df53f9d34b360c4c", "dd888bacb7e3511caa18c20d5e05a8c4e9bb891a", "8263834bbe6e986a703370810f9b963e2d25a7f7", "5c5dbca68946434afb201f0df90011104c85e4c4", "ec946da86686310da231e2bc1919651c8777e394", "ee4bd9419405e051b709d90b63d9d264bd2fd796", "858d81fe346f179e1719ddb4ae5a0fc8ec1c2c67", "9a45abde5e2ad08dcb6c267fba30a02fcd2e516e", "30801beeb4436ce1f15e641b74a3daae836b0a0d", "35f2541ef1b5dc2df8283143b1b98c6309ed47dd", "baabaaf0a3d06b9b5ac378bae4f69dcd69f78643", "166d069ea056fbb42b10ca660956fee881e6c875", "80e6c8a17b178786d0db50dc9c68ad68df7f1fe0", "b95023870b21653a3777c640aeb32c342a3d906e", "693905c29feb7f9be3517308c8a9c2dc68aa8682", "1303a83494da62032feee866225b731f6317f605", "27fda2c61f3fe1f74e18bd11555df7751d178bca", "e58cc174962bba8a27d2acab99cfee30ee4fbce5", "2868b2b13512261d07f33ff05dbe0c10eacfe0bb", "887270a39b2b3a0ef9c098acd5cd20cc4ad9c99d", "635e5b6219a655b73f47ae74751ae43577d22da6", "047d3cb2a6a9628b28cac077b97d95b04ca9044c", "ecd53b84e0d861b212f08a0ce9097f68b2fa81fa", "a4b1e2ff256e32549716dbe47284bd26e5ba19e9", "1fd8c71a8859da611a8fde1cbb2bba1c7cf00b4c", "0bc695e580d41ad163d5ec601bdcf384a0bf91cd", "3beb94f61b5909fca8917b0475983ea2c66f1df2", "e7a922049a9bf54a0b13cd1d475a58e36c7c9b3e", "ce9a9f178018fc266fbf554bbde63155a48eaedb", "29936a4dcc91adf9708b938f0d3fc0f38409eaff", "92aa964d5f8b4a99a17e40095c4e3480723dd74a", "6890af11d4c0a3189e974ffe7cf03088cf532ab7", "2475d216fd52994ac69ef922f4daf73e47f9535d", "5e59193a0fc22a0c37301fb05b198dd96df94266", "bf4097f79bdc519a6d7b060f4ecb24bfd3d2401a", "61d20ada590e7627351d19565c93c6bed012b5ec", "07ad6bb9b21c065cd92ab2f24a22c1d4a8f205a7", "a30efa3271161dc7409530fe0ea76bad62a6f191", "6844a700aee36bd809d1188f6f9e81707c513f19", "451bf4124ec8a55b9112cf9cc167d304fa004924", "38e083047f1a8273a4a166aa4c39ea85b7b6cec2", "a84d6c761fbbc66a3d6e0a5ab8a1dcfc944f6753", "7238ad190988f86ad1ca5bbb8e5d0021802276c8", "7ebe7e295a5943df23dcadcba9aa3436b0f7286e", "d1aba6644358ab647436b8a830d925baea75a437", "49be1b36f1a9b948e029d81fdca23989c3e4b268", "845c03910c7cfd02de7df9622a9973e8b085c0d8", "6cabae60cb9081346a409018a3f99f197b192e4b", "2daa7d027772a64c94369fac39cc184b0b62d747", "286ea509dad9f46fe04db96d09a503f5cd94a6a6", "dba3ec4420a0bcca3264f75f4c975cabdbb1af74", "73f3e3d9b6b6624ad18da2a1ab1d87924f055fd3", "d6143ddbee74c10996d291c666fa17bd87f9d4e2", "4640dfc0bfe7923c08d0c762a9c33b52b9029409", "008f01a0b815001ddbe00be84319a83478bf56aa", "dd9716a7d00fc6656537bb035e35acdeb21fa497", "09669da2fe4764196eb0e2eff240291d54607882", "c8673edad31a9f991f6c446c057e03e130611a7b", "08c2fdbe89fda66ec26453c4ea3f190e3e3d794f", "1548cea1fa9be7a23d4d1e38086336913d501e44", "46227a10f39f4d2fad0fc933b73bf75a7fd94d1a", "b40f176684ada07faac259aa3a8d46121543dc75", "cf11ac17de2d2650ed79196e7bde84857fb63d02", "531ed96d7eb85397123e9ab96e0866a986a96ff5", "639b8da4c981de46c5975d8c8f74e82567e7351c", "7e1d88c39ca80f7a6d741213fcc87a6014d670e9", "9507d84995b374c35af5abd5f8de08d1d80a3f19", "b657702aed7aff8f1a86fa32d30a07197f8348c5", "2279cae83716e2a00181593a7b10966020dd11d1", "a8b674f17d8d8c7d5e4ff701c3525db2ffa1803d", "204c74d691ddf4a1c7279546a167feb2ee098a27", "6dd007b6e518a3aa96111028c4664f2647e5e81a", "175feee910c542f9af9a7e8ca75610ba6d133b24", "c528e6285ed170c9a838446c062c8dfbe31c546e", "b0d61c3e9851bb83cda8bc079e92d73a43e479bc", "1550ad45b067cea594f9ed8a3369632dc05876e9", "cbb141925e919aef18f9168b79b4c4aeb871ccff", "74e1efe5e3564c4c6a9aebcb18103e941e31e335", "9a486208ad06d09374ec3fba6856e384c7481e2f", "1dd3a58ab363cb396bf36223fadc8d2341bfdb83", "18aae0f20fdc6aab093c72c81005247d2cbc8512", "0493b82694d8754582bf54802c4dbf64586ab9c4", "c5c0cda46a77a7ea8c1f6d4d762b189ef424ffa4", "ae85ff7fb5a7e7a232793c743ad11baf849a61bb", "5d7de2eb2ee99798bfb2e50ed5169e3b8a35469a", "9eaa5d3cee5905a67299fa4f9f5d5cfd85368e1d", "22e4e64c1172c90ba23f634d850931ee5f9a972f", "4f5ceebe7d166b2b96ef080e179e8f58f7787e5d", "1a790c7669943af5868e49d15cf282cbbd506f02", "9f8bc786243caae73c650ca2a6911921fd0ae8c0", "e9bb5cf8eca585fb1b5b7e3ade05937cbb3ee040", "376b73334bd9aebed1fbb69c4ed3848ec0826b6c", "611c8dcb8cc4c328f0b3be7961adb47689b371c1", "ca11dc3a8064583aaf79061866bbcf04caece162", "f95d53ff893305741d60e234772003ec8579828b", "7357f37a193992f06eba68ee71faef8c093e8aba", "79e43278ccd7b71eebf16a0ba0627efd023a0b8e", "96d98463ba845651907b0b03f613b91c97d3465a", "0f504de06fa6ed1e57fedad6219a0516808ac4b7", "97304c55262bbd9354aa78d2f52eb73d0a13c9ff", "14e38bafe584fa0f3cf5899027c61247ff14204c", "1505e0aea7f82488dad1448e79b22c3b0ebc65cf", "034f7fcf5a393ac3307ac3609c2b971df6efaff6", "a24f84b156bbb1edeb1d0761f5940de318b7ed9d", "c14781a995933e2b89d40a95ca1247845ddfe3ab", "e471973e006ebc0fc801cd354d314e16a872c02e", "ac99cce29398a6885598925a03196ab9b298ffd5", "f9378db092580854602e37d2285d0be10671eb3b", "30923ae494447f60b9e7edbfcfa56c6f0be358dc", "1b2183c2b9608b7f815551c9ba602f22205126b1", "64aeab4a2678efa0a60a4d57bf81e3ab640cd476", "71869b405b39c812d783cfddc56c4e20bccc6a28", "3bb9cb67390f134ced24f64e997ac825e0a16c34", "c0ca42fa8788aa8cb6cd7d76337560615f9e8358", "67d7022462c98e6c5de9f2254b46f0b8d3b92089", "4497c58a1c7dda2027b3de6385ca628c62d965cb", "c42b28d722dcf2b276fe41da1a811e6bf9e68010", "b85a2d00bd69572757acff140bd32c24085e6c94", "d37a88bb3e3840464bbc177569b76cf3aa1ec081", "5b6ecbf5f1eecfe1a9074d31fe2fb030d75d9a79", "4d178cc41201681fe9b3e5484fb88ef6dc674ddd", "789cff184f607384b4a45f361143e5c348ef97e5", "aec84e5aec1b6d83baeb4d447cde399864e25467", "c4cdfef8b24437718511ca7be223b158b5416d0a", "037c0f087050284f828f71a8c81a4972134baf10", "ec00ecb64fa206cea8b2e716955a738a96424084", "22c01d758a4941c01239fa8facdb3407559132ed", "7638cb16631fbcdf621aaf392fec5108e6fa9f47", "f13530aebae0a1a03a5dbe7f5375506e4f92d0c3", "bd2bc845420c3f7d23e28b12bdd50a14fb4befa1", "588222a89edaa3bfda4fd2f9012d09adf0bc14f9", "44f4b1b90f8d5515f2486e07e4cb4b9589c27518", "4bfdbe2ffc6311c8a297355422d914cb666b358a", "70c012367fd77d6b6dbd97620724fcdf72bb15ea", "2fb1ecd1451dc0c016cfe4cc43cb9620a766f1b2", "7a540e0e2049a8f0118be2eab9a2ec5f57e022c9", "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "06a5e1b1161a84e082f9b4be6327c5b16579b04b", "d670583c4065132282dbcb4387ee6a83e85f8af1", "119ccee35247b83565d385150baf1181fa5c3e74", "dc22d96593e552700f98dd4bf76ee838f9f11145", "7da818df4207bdfd5ebfc609e48da360b4b678d1", "2067ab35379381f05acaa7406a30d0ee02c0b8cc", "c5420ef59d7508d82e53671b0d623027eb58e6ed", "90282cd8e122e102124b765ecbb22025a238f249", "6a8a30d0039a266a6ae62978359bef3e0256e205", "f19527b2ceabf50831e78ac04161107c936efb2b", "38b18585e4bdb78347d44caa561e69a0045ade8d", "ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2", "6f53466b17a2f9da4dbd1d870e822a1f8e837044", "21e82350472bf6a12af0f761b8dea91cb16bf42f", "2785c5769489825671a6138fdf0537fcd444038a", "abdd17e411a7bfe043f280abd4e560a04ab6e992", "30998485c920f62c307c29c4832b70bbce748eaf", "14860877a790d99296a990281b22e6b6a430b64f", "751e11880b54536a89bfcc4fd904b0989345a601", "811dff89b6d4657e5a0b8534e208baefd2204cee", "5017d635ba8dd630fc0375bfa71cf2a3397fae8d", "f6b0f62871526f8c4680cc54aa6add755f1477b4", "8b26744e11e5f226f187bf903b88933c5b0fcdc0", "96a3dc5169c095c154fc873d6655903618336448", "2088d93e7f4fa27b8498428d2ed64f144ab8cf3e", "9728c3e32f57b54dea94fa9737c8f300de5cc468", "c866a2afc871910e3282fd9498dce4ab20f6a332", "35071331c379a9c830c96117c4f69e4bc0dc0bd4", "9cc3172efb42d2f9fa1b9ae7b7eef9cc349cdef9", "93f9607034c9b7b7693c60e9d2631adc15a2a524", "696ca58d93f6404fea0fc75c62d1d7b378f47628", "d02bf4082850a667bf0b7b6205df1cf9c1899233", "06096a9927d45ff82eed34e6b3d6c8fbdc397756", "a247c12bc54f7792e381c6e71d98348f8059ca15", "7d7f60e41dd9cb84ac5754d59e5a8b418fc7a685", "cceab479d37060b0952439d9bd6fbbba5de1d550", "6709e3b3b860ddda5f79b30a0bb6080c6b747816", "f95f5e43f34e1bfb425b6491fc09558c44d2973d", "34fd4689d406d28100709b3be71958721d6ef11a", "04d9913c3988b24522741ad9917108bf9c56ee74", "d6ad7334d6e2575d61f86f91b8edac8053af8c35", "001dc49f7f3348841b4086f966bfe4e9dfadf03e", "c29ca739fa740b3155c755655d590582305ef9a8", "67bee729d046662c6ebd9d3d695823c9d820343a", "3a35154f765dcba4e3789a38346bf54bce69e336", "e282bf5a679ca4e8b7d9a2ed56d3b40dc440ab53", "657ae9ecb59cb2a27e57784577a9efb60de81126", "ef3b777cbe362a5e97c5ef27eb3289ebfdb70b53", "115724ce1ce9422dad095b301c7d096498ad50d3", "a8bed0a96d9ad3e5c7ecbaaf2a8967e034e72cb3", "5dc7c33475b545271d1de726fd88bb68dfb7e11b", "96c866f07ff999ee11459519aa361fa4fdfc2139", "ac207f5e368e285b0dd54387e3a898c550249b20", "03d89c8eac079df1ff9acbded0336352cdb04624", "bf05e710dae791f82cc639a09dbe5ec66fed2008", "de8303e9206096dd9f4ba9d876057345ff1f164a", "4078c37c39dc5c7c65a5494651ba6dd443cf9269", "0fa956029110bd82b34208cd18a77ca34d2c5eed", "0d0a348510cb2fbefbb3225ee18fafc1479eaeef", "7729b0d1d3e26ce0eec1f019f3a98d6c7d926e10", "7523ead2a91191f0ecfb88fba5c0f2deeddaa256", "31ea3186aa7072a9e25218efe229f5ee3cca3316", "f1368b0001e454381eafc35324740c928cb2ad1e", "81f30bc57b84a6e5b71983b50bdea32f32bee285", "9d3472849dc2cadf194ae29adbf46bdda861d8b7", "311fcda76dc7b7cf50b17c705a2aaaaab5ed6a04", "d1b0d2ec2f01c3aab06119192cf9ba23146cc662", "bf6913250ed359fdf130d6465b90b2a0b6fae04e", "ff172624dd0a3bd31ca925b73cd7295d596173e2", "428818a9edfb547431be6d7ec165c6af576c83d5", "7fac20f3908c69bd336ea252e28c79f5abaa6dbe", "18cc17c06e34baaa3e196db07e20facdbb17026d", "37eaf94fa6619ee857019937677cb055a2a51bf3", "bb79bb04e569f9319fbc9d8e1f275bbb2cf8d32e", "24d967ac44319cd053544c1b77e2e294b90efe81", "89f9fcc6b6bbc3c8c13f37d602d42a5c7196bcdd", "510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9", "caf912b716905ccbf46d6d00d6a0b622834a7cd9", "74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0", "778ce81457383bd5e3fdb11b145ded202ebb4970", "f5350ef1d45574e33f5b0f1c013a5bb00e1b1c55", "bc9f3c466c6f6b386f4ef1195853d498cf3c182e", "fb3bce3a6221eb65451584efa898ecbe211bdab6", "a6eb6ad9142130406fb4ffd4d60e8348c2442c29", "3cb8128b41b419a1fdc7a95bf8e65a37aff79676", "a19de85fa1533a1a1929b98b5fc3b1fb618dc668", "a8d41c63462da7dbddf4094eddaa0bb6d72d0fdc", "36f1110aed28165483f2dc7250fd187412467f61", "72f9116a04e584081635500e9f0789fa26e4d15f", "09beb1aadfcfee89ffa8b97cfa983b1c497e3dba", "627107c02c2df1366965f11678dd3c4fb14ac9b3", "397f343180dc4c9f40c1c706217956126a09d157", "ec21434615f72267d26d8e2d8cb7671561d26fc6", "29ca8ddf79d4cd1dc20cc8160a6d3326933e943f", "2ba64762acdd21046999a2a31e031d339df5e8cf", "6d0b4f5b3391463376c013a6c00d76daf38da578", "49512d11c468dc2fe3fe832d8c4dc8e0a01b0a4b", "5d2d797ee4053dada784639d7462abbfb2220031", "d5813a4a0cca115b05e03d8d8c1ac8bf07176e96", "697c0c583cb62bdc847106f9ec79384ce66d8679", "b10427999fbde2d90e3541c477e2f6ba4c8f08cc", "844bfcee3bc559960ae7a2b1fd68fcf7a926dc5a", "3ac78d0fd4f0c01650277bb25eab6957d4eeb655", "243b82ad6f062c77cb1ad8e5fc56f5fa6f34fc15", "43e3cd896d4dada4114a8961b98ae9f6d6ff9401", "768cb0e32de3f1b5aebe04448aaec4c25586680c", "2ceaa8d6ee74105a6b5561661db299c885f9135b", "aadc142d4e216432899326c7162540955f8b5590", "3f04caa9d17e6b26e4446578c020bf3b35df9de3", "127b17fdd8860605680cfd053398fa95d12ccc03", "a453863082a7fb42c9b402023294390eb4167fbe", "f17d6db4844f26a023f92b8771a1c33cea91b9e4", "6128190a8c18cde6b94e0fae934d6fcc406ea0bb", "692bc33f7466278900dd73f7f40c563f72cb6754", "091433bc8791bb66797b519811834a8a53af622d", "579b2962ac567a39742601cafe3fc43cf7a7109c", "f19c24761fe51e6711ce444c2671a551dc6aafcc", "ad5dc94b28bee087a34f52114c52bd09d2acd8cb", "da8f9211ea60755bb40811bb92de76be389566c6", "117aae1dc5b3aee679a690f7dab84e9a23add930", "7a736b7347fc5ea93c196ddfe0630ecddc17d324", "d2cda0dbb8b2e83ce3e70d818f78d2add803c661", "a34fb5c4b8b58ca19c376b1312e4d9955fe1d857", "082d339e29b1b1a9a800a1d72b401f69b6a157c5", "05ce73c39368aca1d10ab48dbe0dee80ee084bdb", "20dbdf02497aa84510970d0f5e8b599073bca1bc", "4715303bdb871e57cbb597b7e936a6ef4aa2f71a", "532837c431617d37c03361ba5a7d5fdb082c55f4", "75064b7675553c22112b76b5687e0aed4089b0ea", "14401d4aae737a3ed118eca071f27f11dac7eda6", "3533a7714b19396bba8297e0ca22f85ac68ca18a", "88c307c51594c6d802080a0780d0d654e2e2891f", "00fe3d95d0fd5f1433d81405bee772c4fe9af9c6", "159d16cdc48135632c2d5790e5baaf8d0631f510", "29b737cdb317e47e7cc219b438ea38e8fdceb45c", "39a20428734b1b38b8e93c1c23283f4c85ff27f4", "ddeececa11517bea0d21804e3f724612dac1a5c5", "904949e9bf204c275ce366237ec1d3ebcf864a1a", "5da0224590d91defe8c75db0ab5e12d50b6ab6f3", "5d8eb0ccd00d66b649c6a4c06edb0e34093a2357", "b9d73e86a98e93d558366fc3dd002393677808a3", "e6020915b9530fa585453f60a8934aed30558be4", "f0243850576e364368c3f743012e78165d8bf249", "dadb7ddfde3478238d23a8bacf5eddecc59e84c9", "7ab02556d18d116228a964e38b7f454cf9f2b189", "209324c152fa8fab9f3553ccb62b693b5b10fb4d", "c2cf74ba6f107aa9508e7ef1bad93916d944cb4c", "0486c77b8f251e8ae52f5ab6304288c1a8bcc48a", "47ce78c9f49248a7d1bd395befb43e45d89555ee", "554b53f6e5e37d0f8c8eade1a962b39ce591f6ae", "54969341ec539ddaaf7537b7353e3cea84790eac", "caab1c1d53718315f54bc4df42eb9a727fa18483", "1491c73713ff0b931e5bc1e990b9e762bfe7b60b", "a910f0468ffaf85aad72c96a7214565945cd2819", "53bed2d3d75c4320ad5af4a85e31bf92e3c704ef", "19158dfe2815e7f9eebc5822687e83d0a89ae147", "1aa52a25c2967b8bc228268c9ab5a96a32d2189b", "39e55283e6eb3f0f9db07cf1b20e0de8d5aac10e", "3402b5e354eebcf443789f3c8d3c97eccd3ae55e", "5e053cd164b02433c4efc0fc675f6273a8a1c46a", "9af9fa7727df11b86301a252db8a916c3a516a8d", "c70ad19c90491e2de8de686b6a49f9bbe44692c0", "06ba3492e3a9a2e98df2c81b91ec94787e3f97fb", "3b0b706fc94b35a1eddd830685e07870315b9565", "78990bd69e12f7d123b6a0ce6b1674ea801f2319", "deb78e302c2efdac51b742f4d3e8041b5838e533", "bfc9a449e6364817a5a3e19b73b1527a85c32d02", "56ffece2817a0363f551210733a611830ba1155d", "8f48c9ca2ea3101083be19344633372fe1a2efcd", "d7c9bd2587204071b87feaad01d631e7ea591c6b", "fd3d94fac6a282414406716040b10c1746634ecd", "57417c4a523d93801c8901d6f3c3740eaa65c9ae", "3adf719a5f451a61e98823783b5f2e049bbffa2d", "89887e95169efb35726cbeecf6a252de6fbcac3b", "33264f4cfc7fa52ff2a6e9f739070e8501ce07bc", "1d9b6745c0fd793db6dda8975b498ca517961d25", "b5793958cd1654b4817ebb57f5484dfd8861f916", "1a9997d8421d577a728f6ac119d4b14a3f46402c", "561ed7e47524fb3218e6a38f41cd877a9c33d3b9", "8cc23e554d98522b377d227dc78e9382a0ed35e5", "d81b0a79558cabaaf3db22caf89454f4e012f21b", "0d07db3510c7f9c2ceab65444cb8fc8ec49197b2", "eb044760b6502431da6b6f3d5ad11aaab851a1ff", "928857c96ef837f43ec87135de69780f6667cc70", "afb353801ce723951f0d8f9ed4b5ff9b41615601", "4d22c000c12aaedadcf075736dfc998dea932f06", "3417673c59544fcd33820a0a583a7543c70ac595", "27ccf0cdf0c7a74640697dfb5d1cf85969a5da2e", "8ff0c2020bf42b97d82a275c98a923a0df3bce33", "1eadafc27372b33a73eca062438a58d4280fd3a1", "a9e28863c7fb963b40a379c5a4e0da00eb031933", "abc2e6431a7092fb11418b79ca1c41a76b811ea0", "558c587373e2ea44898f70de7858da71aa217b8d", "d8b3aafb25c235be5c62da07881807872ac3e831", "a13a4e4cc8f4744b40668fe7cca660ae0e88537d", "aa3c9de34ef140ec812be85bb8844922c35eba47", "5c3d8cf726f17bbb326551253c810429d332d3f3", "a79b694bd4ef51207787da1948ed473903b751ef", "4ed613b6f0427d3ec4cad6c51dcc451786812959", "d350e3753756b1c6946d5d9150626b2de4f7a8e4", "daf489ba1a9012ec2e5236fddfcc46f38cf848a9", "a360526696a2698ad31dfca4c529e098d2dbdbd1", "e74bddccc40e65b31081a1599cbe7385d5d3e1c0", "1e0a5ce5204f3f7503c39df6d200627cc331efe2", "9263ca6211ec39469f0daa8790ccaecbd5898423", "de6ab8cd9d402c976082b707b1207c3ad49ae204", "d0631ba22add59684fff926d80d2e6948dfb7d7e", "789c76749a15614d97ac8f4ec18b3ce7d80a2d28", "0d75052f1d7350fa035a35566555ce7b65d1cd2f", "e42200a4f407f3a58119a2abdb3b9b218ec8ac7d", "45fccb72a1bc078ecb260c3e9871dda4edf37087", "673952e036b92617d56deac4166aea3064da7fed", "0041afaf2b17f1a33bd514db27b17ce34670fdb8", "6c76bea8342ebba9957e5ddb5ffab9a953398a90", "e2b093c6ebe4352ba9a1b281c621b798aae8d71c", "e5abe63d687f927a0ac61e9ad62f88b355d89caf", "977beecdf0b5c3487d03738cff501c79770f0858", "4706d61276b953eadeac572bd449cfa70d2e0b82", "4c130b216126434c8cd857431c9c4a7a7c10aca8", "3d6b71b359d5db96a69ca322a5336110d89fb10d", "4061524d5867325aab871ecf25ba58acd7872192", "9bd7f95a4c752a44e96d2205ceb6fcefe9232c8b", "2c3c72fffcbbf66cbb649b64aa51199722140ad1", "96788880589a514c3ae9de29695c0127d6e76b8f", "bea0bb77c0d75c3d70fefc274bfbff93a3eff015", "4170882122b559fc39ab3eafd66babe2429ba858", "74b9d1e80d3df707963fad57c50d7c25936da535", "90fbeb4c871d3916c2b428645a1e1482f05826e1", "f43b60a33c585827bfa354d3d49fb148a1c26c3f", "15f85fe1d930bde435c2e04372e27e8c8c4ba19a", "f164313e63d5c6d0a5f4b55fd0ffcc25c436bc14", "fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0", "bf92d7784a687b1aab20a0de2679498af641ab18", "aefb110f14dd8d59c5465c7d91bd8b34a7c69597", "05014b04223562c7c7485a1277552564d0ddc6de", "3c9ad25e91cace6ac93069480745d4578b7f29f5", "ae0514be12d200bd9fecf0d834bdcb30288c7a1e", "4dea9cce0825c0cdb1a4a28c4ab8416d6e3e047c", "5458ccf22bdea7197e28b433ef06d5225fb030a7", "0e96646eb97bade66848b1fe50a9fc6ab946ed42", "31ffe7b6447221ade78c71c36e8e86279a8478b6", "2c7932c2096669113328a75d1ad1d1bfb8f86ad0", "e79847c3bf3ffefe9304e212d8dda7aaa29eaada", "0bcc4ccbe7b12166bb6e8669ab6b5c7edfe6294e", "cd36768795c696c990ff5c89be8d8b3b205858bd", "b2e0e08e4d4c722d0f54f5a124ca28a67d74ce3e", "d5773fa88d40849b0d118f1c223cadaddcd8e189", "686c3da5c61d3decdaad57ea6f800048053d7e87", "b19077f8792f4ab7e390a8344e8b32accb94bc0f", "8bca3e860a08727511148e691835c9c516894b88", "f56321ac53f63cc5c5842dc5a7a06c56501e5dc8", "aa4b5494886b9322f3ee6e2d8b7c5550c26a7c5a", "3c8380bace3e9625ff5dcd7e425fb88effd917e4", "bff9d100e99dd6a99ec26ca867694075b1dcac92", "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "db861322aa584dcbd71c3d70660edfdc4464e0d9", "0f711f690ec9aa72c7b1cb074343f1f91fc8a756", "86f8dd2a96e1ef9574af1c4cf93f70227f7bfd59", "ef9081d153f96b96183666a5086c63cecf2f33e6", "a48ac2ebade8a0c77c936e45756bccef9668d8e6", "afd9c334973b935284dde768afd15e059eaa825b", "d6335ef1bed414c62a4c3f1a7851bdff37e31e45", "659fe7f32475bec73ed763f50cea929352b1309a", "c1e62e8f34b035317b416f574307ed6d5e11e079", "96a7f2faf4baa09184deb458a03146805d62beed", "a8dbc8284e3abe08ffdc08019b7d04a056a101f7", "4b5ff8c67f3496a414f94e35cb35a601ec98e5cf", "846f3857976ba437e0592a848e47f6a3370880a3", "61be9e8b1f2d642eb0b91a6097fe1c50c37a285c", "244a6d4f5f745f8c2a58a6a70d7ba2b91300c118", "8f00c57218b413440bc99bcd1b2a9dce369f0f4f", "491efbf5590467157f35c8c75c49d44659429f62", "406431d2286a50205a71f04e0b311ba858fc7b6c", "577faf190e6348cd72fb9efa696c69c4c291c794", "036910cae6efa7e2f4d506121d7f021e9e1a2e4b", "156b194d0cee545337524bd993ae640ed227b79e", "748e7263f048d4a3ee513d0d15767da9b283a052", "672e492d25510d0cc7fd4d06da0acb8934bd8a64", "8408f4b1193e8db25fec818a989d9fe3194d5ea6", "eb6243b1c9506f9450dab2a09db9c17fc2c2d364", "e69a57639e0a2c30c3127b67092b5535c719440f", "7e1a0b3ae3dfe1f6795205a48b7a3757bfad26f0", "cb522158aa3c91fda3089d152b0005605056852b", "330b7b3893eb5b874f7958b3ed0cd2879ca9ce3d", "d17fd07b82bf08a35df3fabd5d4f14588843ef40", "93a819b07ec0e76cc2de9f05f41f148cbaa410f8", "20ac41b5bc3b0697e6de097797bc95478751eb25", "da7ffe21508ad8d6dd9de7da378e184cb43a56c8", "96c9b289dedae6f29878d1380e4668d0679a53cf", "93df4ef2e1a9a99c514a69f9b7a22850fd1e00c1", "469592d1fecd776ce4cab2d004e4ada2f2d75f70", "83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a", "03a9affced96b1554b6208ff148617fdfde6712c", "fe7cb074f2bed5d3e0dd4e19255beceef6ef7233", "086a0b1d346835a053ad71fbe497fb1f9b1fc6aa", "814b49d7ceac7c3e6705eda9993921acd3c18b6c", "2af680736f32ae37d579a8b5656eec1c6b158dec", "41c1b8f319e27be0c77c3b33cf877c29b1676501", "e03c227ffdddf19cc12dd79b59d6871b560366e6", "c65cfc9d3568c586faf18611c4124f6b7c0c1a13", "81af86e3d343a40ce06a3927b6aa8c8853f6811a", "d0ae9d4b32409145abf3afa61532559976b32372", "b7a9fa746f22aa543c1e682554a834329b17d1c2", "d6daef592b96866a61bbba0fe9c2d3015c3ebedf", "a427ee25ef515ddd9cf50b4cc3a7376f57d58926", "c086fccde785d803ee2fab1979f70fd6f313d621", "df293716fbab287f8047378df86c5f81c03fe123", "3985dbf7616c7d2c6178eaa262389815f95290e6", "449df573e41217c584e55e602428c2e3849b82e0", "7c25f32e78d0a9ae75825445daf51b064c3f58e9", "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "c83a0e82240c87a5357ae1683fee96237cc16693", "1d61c77ea9df08c42ae2d222f04ff8291d088e84", "65da5a05fa6b49e8aa11b4acce965a0f439c1716", "54a0f303fba2b79868bfbf2941b23d970ab5ce0a", "e82bb86cf6d128b3ed0edf8ceddf025964e419c2", "d3200d49a19a4a4e4e9745ee39649b65d80c834b", "56ffa7d906b08d02d6d5a12c7377a57e24ef3391", "e60ee0573a6b6f6bd1800d353993c74ce6121765", "434ad689f9f8bc034fa8489f80f851686b8b449e", "11669a0a1fe4e98eb67ba2b756343bc16814ae97", "038e196b560b21f79b629a5a1c5cb89de27ca66b", "bbab98fe736523919d17661055756a0fe6fe4e8d", "af7590664e217dcfd16de3d1ae3cbe2a20334359", "67545a21b41ec6dd60376aff84bc0945cdb79590", "2baec98c19804bf19b480a9a0aa814078e28bb3d", "78749b58299ecebf100e2512872029f89878449b", "d5de20cca347d6c5e6f662292e4d52e765ff5cee", "a168ca2e199121258fbb2b6c821207456e5bf994", "3ec77809aaa7bd30858a4274e3c28a2a0259b30c", "a5da6a6d4243a89e974a6467cb5c6df6d914a946", "d36bf3b5616e12e402dea79b8a645e445f67b675", "883006c0f76cf348a5f8339bfcb649a3e46e2690", "09e3967a34cca8dc0f00c9ee7a476a96812a55e0", "403b3d0594989629c95e5bc5230d4ccb1691f255", "31d60b2af2c0e172c1a6a124718e99075818c408", "a6d621a5aae983a6996849db5e6bc63fe0a234af", "485c869aa24c3241dbaaa5d4f0b5f696ee4ef77c", "e36ca54c2195fa4291b24ecc6ec0ba2d286992e6", "b2d13185695bdef08679d83d1c195f7014d5f4cf", "c1c2775e19d6fd2ad6616f69bda92ac8927106a2", "7880138c9ec1f0f78b7c896a93179e9b38f44a47", "89d12f74c4195ec04c8bd6e16919e339b2fdcc63", "46fbf807f1c0c863aa35d3d8acb40870182d3b28", "57723da316c019628460daeaba143537d4dd1327", "eb9a98759265dfed4f11786ec9029fed4c632e23", "c5392bdc97e525403a38563ba19caef342879116", "d65d63d294d44a9356807fa2016700ee3177052c", "f06b015bb19bd3c39ac5b1e4320566f8d83a0c84", "df7606059011e0f13f7e0d4cf02574343b21676c", "214eb90d0386379972cded05e9f57b884edb1675", "bab65e5a5e0768fbddfaa0fa85f9fe9a51d38b6c", "5ed66fb992bfefb070b5c39dc45b6e3ff5248c10", "29c6b06ac98dbdaf25e4cc9a05b4ab314923cccd", "dc128d77a641312f358071edfd12f05988306465", "1c408790a7bc5cc8b0c2e23668ad326d0ccbebd4", "29fc5339e299b47c3d4f871974069a2971b4b8b6", "b9c7b2b419b44def1b0b4da9f93fcc339fc20a41", "3f2bfab312ac307240fc5345932c7f4959f11f2c", "f3f66fced81d87d0b83119e8561037de3c7dbdfe", "20a2b3a0d6a8a5334425e7190cbbfcf5d02ce8e9", "20133e8f14e5d3c4543a97ee99308b9d1532a52f", "331a3487bc4a876ab1761bf0f67ead5170e1dc5c", "d62d0505b37f3df983d97e39452137d31d44c94e", "ae03cfed10cb1dbd0328d70dc84789dd141ef1a3", "10c49dc22d5c7d885cba238634390013aeda6e0e", "9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0", "07f07f9c324666a7d139735e4a06cae96b9d36ec", "b38c7a58b4c5298705b8f63dcb6a1c21ee297af8", "113e5678ed8c0af2b100245057976baf82fcb907", "f10484fdcf67cfed25121d4162412e523fbdec95", "c5c6ec48ae98d86171360b19e3ec03738c712f53", "fc950b230a0189cc63b2e2295b2dc761d5b2270c", "ecb4b28c5ef9be94e2c34a55f42b40a54ff500fb", "3cfc097ba6badb4f89a9591b950e65b60782589b", "9fbe2611b1e2a49199fdee96c2083da625ba57df", "185ade6026c291166cbe4d36a444ee71fbe7f873", "b2046c78d4e2f00a72ee9a76875746d2d3f47e1c", "922ea66a77fbe53f781c83d3553f8b3e406965e7", "f51771c6cd9061acc9c468e7b44d5d3b6c552b32", "326b9c8391e89f5bd032aebd1b65e925083c269b", "15912abb1fe1457bb358d2d2b0e586c1987b6e25", "5c879f9e2e79d6c6af8d4c821575e73876240a83", "5147c249aadf9dd20d24a025995e79f5d6e4e5f4", "410eb51d63a3d6196ca9cab812f3233f00ab5906", "98ff7597197bfc7b4fe42575cf17d0fc42f501bd", "f442e57e13d1da68723d68cb68d7c78e1788cc7f", "1e50a75f1ed15b365ab0215035cb1823ab51caa6", "600c8fcef0480b7061574532861369c1c631de75", "568067d7232c753e182dbc1d7075364560ffc363", "a377f2c99218e0eb624ba65d6711c640b1697b92", "53bb52eb910c3a0ac5dc7f379b1f3f7c29af529d", "ec59860f635569dbe007e4c27182f7eb5a71f606", "75503aff70a61ff4810e85838a214be484a674ba", "604a4f7c0958c5cac017b853a7d0f5f5b4a4c509", "6c7b048313ee380da9104f33a5e0cc68d04f7717", "85754413313949f2fce98bfbcb49a18e5897849a", "f9329c2ab6d27864e498daed3709665522c1809a", "0c75db5e3c27bcb0d07311a950d0d25cb57c731e", "29732d196d199acdb9d5122207b4613bb3aedf8e", "0f085f389a52e13586fe50f2dae49e105225303f", "1a1f63cbd8465d1bbee9bca24124b52ea4ec2762", "63ce37da6c0c789099307337bb913e1104473854", "aadf4b077880ae5eee5dd298ab9e79a1b0114555", "35be5bea87c465c97127c64919d115e235d62e82", "8e9288e4619ee50631b68cf248eb56f4fc97a5e8", "76229d9e68bca10f3876f351856d6911857be827", "896366051fac2c6c97ad44a2ee9eebcf3ffd59cf", "a59800f16ad02f550c600fff4179167bad0b8654", "1f284b24d4b937e326316e2b5bfde227ea2fcdc3", "181979ca0f9db45da0d0e456b79165248d611486", "141baee5b83ecbe7242b6f3b8e8b55a8f2e484a9", "3f14b504c2b37a0e8119fbda0eff52efb2eb2461", "3b2df7d70ecbe3d0d65d27801d159ddaa150bf42", "560e0e58d0059259ddf86fcec1fa7975dee6a868", "5779e3e439c90d43648db107e848aeb954d3e347", "0e21c9e5755c3dab6d8079d738d1188b03128a31", "8f73af52d87c94d0bd43242462fd68d974eda331", "39d6339a39151b5f88ec2d7acc38fe0618d71b5f", "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "d3edbfe18610ce63f83db83f7fbc7634dde1eb40", "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "aa0c30bd923774add6e2f27ac74acd197b9110f2", "809e5884cf26b71dc7abc56ac0bad40fb29c671c", "38ab777923e09eb3aeb7c2560244c7fef50b0499", "ebeb0546efeab2be404c41a94f586c9107952bc3", "d3d39e419ac98db2de1a9d5a05cb0b4ca5cae8fd", "b32631f456397462b3530757f3a73a2ccc362342", "31835472821c7e3090abb42e57c38f7043dc3636", "1b3e7caf4b456e3762a827aa623c3fb88ca0b1a0", "cdcfc75f54405c77478ab776eb407c598075d9f8", "2ed27364d8bb58990b814dd0d746d8ec419b8d94", "08903bf161a1e8dec29250a752ce9e2a508a711c", "344c0917c8d9e13c6b3546da8695332f86b57bd3", "1773d65c1dc566fd6128db65e907ac91b4583bed", "70341f61dfe2b92d8607814b52dfd0863a94310e", "5da740682f080a70a30dc46b0fc66616884463ec", "5e7e055ef9ba6e8566a400a8b1c6d8f827099553", "48906f609446afcdaacbe1d65770d7a6165a8eee", "0595d18e8d8c9fb7689f636341d8a55cc15b3e6a", "20639423c42768d101b5fc6884edbed322a2ba7c", "ec90738b6de83748957ff7c8aeb3150b4c9b68bb", "57fd229097e4822292d19329a17ceb013b2cb648", "24cb375a998f4af278998f8dee1d33603057e525", "bb4be8e24d7b8ed56d81edec435b7b59bad96214", "9be653e1bc15ef487d7f93aad02f3c9552f3ee4a", "b8f64a94f536b46ef34a0223272e02f9be785ef9", "2e1415a814ae9abace5550e4893e13bd988c7ba1", "534159e498e9cc61ea10917347637a59af38142d", "7f533bd8f32525e2934a66a5b57d9143d7a89ee1", "210b98394c3be96e7fd75d3eb11a391da1b3a6ca", "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "5e0eb34aeb2b58000726540336771053ecd335fc", "f3ca2c43e8773b7062a8606286529c5bc9b3ce25", "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "914c009f13aaa3d10bbc5532c1ca3a5199db8185", "2609079d682998da2bc4315b55a29bafe4df414e", "34c1e9a6166f4732d1738db803467f7abc47ba87", "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "c1f10c419538584562470c78c23f9bbfc7dc1a89", "58542eeef9317ffab9b155579256d11efb4610f2", "9d941a99e6578b41e4e32d57ece580c10d578b22", "3774ffc9523b8f4a148d5e93eaae317dc18af3e6", "03ac704621312e0dc6537ccfa1dfce507746e355", "33f4c796089ddf9aeb7bc1357e3add5fdc8ce4dd", "4ba2f445fcbbad464f107b036c57aa807ac5c0c2", "97129acc201d6e86e21514ca9ed3fcc0877f1367", "2be24e8a3f2b89bdaccd02521eff3b7bb917003e", "47506951d2dc7c4bb4d2d33dd25b67a767e56680", "9fab78015e6e91ba7241a923222acd6c576c6e27", "4b7cd8c7a9dd28f0c1959c36dc7dfeab46be1caa", "6080f26675e44f692dd722b61905af71c5260af8", "ce6f459462ea9419ca5adcc549d1d10e616c0213", "9dfef52f45372ee76b63905606779080026dfeb1", "71e56f2aebeb3c4bb3687b104815e09bb4364102", "52f02c4a0a1fba52d0b5c898d428644e5e1e4729", "b6a01cd4572b5f2f3a82732ef07d7296ab0161d3", "5e16f10f2d667d17c029622b9278b6b0a206d394", "0133d1fe8a3138871075cd742c761a3de93a42ec", "06aab105d55c88bd2baa058dc51fa54580746424", "4f623e3821d14553b3b286e20910db9225fb723f", "6f22324fab61fbc5df1aac2c0c9c497e0a7db608", "e9b6804cd56cadb9342ec2ce412aacba7afd0723", "6dac0abef00a9f22b04973e396053476a12fba64", "ff3f128f5addc6ce6b41f19f3d679282bbdaa2ee", "32c9ebd2685f522821eddfc19c7c91fd6b3caf22", "d0a6a700779ac8cb70d7bb95f9a5afdda60152d9", "48320c6c156e7e25bfc04171b5ee6003de356a11", "3f25dd45dd008a32fc03bd284f78553209833323", "417c2fa930bb7078fdf10cb85c503bd5270b9dc2", "c7c03324833ba262eeaada0349afa1b5990c1ea7", "88bee9733e96958444dc9e6bef191baba4fa6efa", "59a6c9333c941faf2540979dcfcb5d503a49b91e", "0fb45e704ef3ca1f9c70e7be3fb93b53714ed8b5", "2c203050a6cca0a0bff80e574bda16a8c46fe9c2", "d6513d62594d9ef558c787f65118de5554419920", "007abf56a59d186c0787abbb4f78a90bd48103c9", "539085fb25edc3b9efee6577d709115ff8415015", "80d4cf7747abfae96328183dd1f84133023c2668", "747fddd7345b60da121fc13c5440a18039b912e6", "73e0ff21029d337af53e030ec269c1b7aaffc3b7", "0fdc3cbf92027cb1200f3f94927bef017d7325ae", "46e72046a9bb2d4982d60bcf5c63dbc622717f0f", "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "70f189798c8b9f2b31c8b5566a5cf3107050b349", "a59c0cf3d2c5bf144ee0dbc1152b1b5dd7634990", "298c2be98370de8af538c06c957ce35d00e93af8", "8882d39edae556a351b6445e7324ec2c473cadb1", "a5f70e0cd7da2b2df05fadb356a24743f3cf459a", "29b86534d4b334b670914038c801987e18eb5532", "432d8cba544bf7b09b0455561fea098177a85db1", "6d70344ae6f6108144a15e9debc7b0be4e3335f1", "8bebb26880274bdb840ebcca530caf26c393bf45", "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "2983cf95743be82671a71528004036bd19172712", "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "39d6f8b791995dc5989f817373391189d7ac478a", "2af2b74c3462ccff3a6881ff7cf4f321b3242fa9", "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "39d0de660e2116f32088ce07c3376759d0fdaff5", "4d6ad0c7b3cf74adb0507dc886993e603c863e8c", "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "0b6f110b702552858454347cadf22ddd1a05f62f", "ba01dbfa29dc86d1279b2e9b9eeca1c52509bbda", "dea9b9619936bb00cf845cdf4478435da5363057", "0343f9401b98de36be957a30209fef45dd684270", "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "d903292dc4e752f6a3bf2abe668d17a2575044d4", "8b19efa16a9e73125ab973429eb769d0ad5a8208", "5c812e8968b88c25d18a066f8a28c0421555d2c9", "0486eb243d167ab4b197b682e9eff9684b273df4", "250b73ec5a4f78b7b4ea3aba65c27fc1352154d5", "dd8a851f2a0c63bb97e33aaff1841695f601c863", "174f46eccb5852c1f979d8c386e3805f7942bace", "a6b5ffb5b406abfda2509cae66cdcf56b4bb3837", "6bf88e29ac04d72297e6f8f2971c5b8579786e7f", "c9984c07eb657d6693e2e205518c9f05cbed75ff", "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "ab734bac3994b00bf97ce22b9abc881ee8c12918", "924fdb38c7186f216fd8844905fdad7db910544c", "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "bcfac093aa4a67d405a088e56ee4980872661070", "a955033ca6716bf9957b362b77092592461664b4", "2a612a7037646276ff98141d3e7abbc9c91fccb8", "950bf95da60fd4e77d5159254fed906d5ed5fbcb", "0d3b167b52e9f0bf509e3af003ea320e6070b665", "81777d9cb42c384d5471ae89d4c5769a3a046864", "aa8ef6ba6587c8a771ec4f91a0dd9099e96f6d52", "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "60643bdab1c6261576e6610ea64ea0c0b200a28d", "38f7f3c72e582e116f6f079ec9ae738894785b96", "e378ce25579f3676ca50c8f6454e92a886b9e4d7", "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "970c0d6c0fd2ebe7c5921a45bc70f6345c844ff3", "1fd2ed45fb3ba77f10c83f0eef3b66955645dfe0", "4349f17ec319ac8b25c14c2ec8c35f374b958066", "eed93d2e16b55142b3260d268c9e72099c53d5bc", "a5625cfe16d72bd00e987857d68eb4d8fc3ce4fb", "19808134b780b342e21f54b60095b181dfc7a600", "e00d391d7943561f5c7b772ab68e2bb6a85e64c4", "563c940054e4b456661762c1ab858e6f730c3159", "4749503fe584b4747c1e371b7bc101dc083ed0c3", "cd01a0018f2b8f1211e8dfe311c28e32773c58dc", "9889596a98824bdf7e7c59b62e732c0b2d356c69", "c196cf87e475fa305f534f6a25fe676e1737294c", "3964caa0a1d788eb30365972880f83b71df1ab21", "12dfc8d4062b83a0b824b1676533482f14e4978c", "fa40bf7f7d16a72cb6e203e0ea438fc4c575396d", "41cfc9edbf36754746991c2a1e9a47c0d129d105", "877100f430b72c5d60de199603ab5c65f611ce17", "7f26c615dd187ca5e4b15759d5cb23ab3ea9d9a9", "8627f019882b024aef92e4eb9355c499c733e5b7", "9d5ee493ee1b7955bbc71b13edc7f97efe53d743", "77ad2727065cb3dc5c91975604af01c82ec5c9f6", "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "a8d0b149c2eadaa02204d3e4356fbc8eccf3b315", "ca97777cc2d4be87ec7e7b50dc8c2390dfcd4546", "0e33bb2ed974c33e3e17a7464705610d85a5e74f", "4e6ee936eb50dd032f7138702fa39b7c18ee8907", "8df05de407b829abb357e230bead5407cabe7305", "41c87d3342a85712a3591b6d49d99be8fc8d35d9", "48cdb6a640b4259c61c476fb529d7c176e8345a9", "359a4142f6a55a58a3e18628e3ee52c76744fcb0", "1fc5dad90c459d25a53d73125ea50094e28d6525", "af370cbe392b7fb2b9f26476a7e063e0f4c46815", "c322706351370b598612dc1e73b8bee78e0e8a5e", "5802d1ad0be6ad38ba6b3e8df6be6735cce451d7", "eae625274767cb695fa2121ccdcb30828ffc9b66", "d16968e5baac6d26b9cef5034f9d84bcc3ec627c", "15f795d436aaa9e77ccccb00b9df49bf0127f8b1", "1394ca71fc52db972366602a6643dc3e65ee8726", "04d3299b91413aef9b412deace3da92409cd6639", "619eaaa60f0194d456591983a6f26b04cd9e9a52", "82a7ee86e3a8a0cf5a0447cabe94150e30b01f25", "0f5bf2a208d262aa0469bd3185f6e2e56acada81", "8f690751e82bd3aa3a6b142309d3010ed6d577ca", "1550c3835822843a02b2144cef8abc534441f5d4", "1deb7f96fc92d5c9e04d2cbb277473fee878e144", "60580f3edc3df1e869b234b88a66d6791c2d5d43", "490bd6dc220b42a706a919166dec7620a1c663f7", "134dd3bb637b51c61fa9d2332f11e39efc0b359a", "832377d50d133da3514ae3c51c0e6043ab856eea", "90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a", "d8b251cbcda6289bbeaff56692da963aa5a80cd2", "0f3b3688af4e87b27ad38bf70aeffb64288bfe27", "28795f32b324eb3601e9a8c1ce93335691e120f3", "78dd8db25230f7001e86c94a6796b5e74f9d6e00", "df4b148b89c3e19d11e53dd2102599add3a9048b", "df9bad65bb11cdf9cff33425a3943525b2666ea4", "7b8ed16ca5c03d21b0b2e56d9ee5cc24d668625e", "b769007cb6931464168f63ebb4571e46d8c804b7", "181eb2a54f70d9d5355e7b91c2000bb236e35c40", "085c61ad31208717a6bc28059708ebdebbb1ca43", "db6017d7f86188484f7927c3844f27088cb396ba", "3765df816dc5a061bc261e190acc8bdd9d47bec0", "52db20e91a46e68d7feda4b9d2755312f423b5b2", "bfb7619312e0d961b979fdcd7a327776a1fb2e26", "f69a289a3bc6b61c612ba6ff4033f122100daccb", "dd0be14c30714c77421dfe6cba31ed0b523434ae", "6d8612f7856f569f5635ff07a6b94480a9c7c284", "c631a31be2c793d398175ceef7daff1848bb6408", "248291285074203eb9ee8e0b8b517ac4ce7dc4aa", "147e699946e8c54d2176b4d868db03dd1c7bdb8f", "5531b7ba98f4dfce40feec370bcaab512282cbfe", "f153cbec29d86a58b5f15231fd14e7037a210682", "b0b4ce1962ad6732965aa7f4b3dd1bfd32f0ae5c", "72b34e9536665f776b0f282ddb63120afa21c84e", "c7c0feedf979e7cc9139926e89c44e4189c585f5", "c291d95ced5f5039f62d29db25ab094ef61e3df5", "eb1208a7f535de6c6180e4dbeb6eef2a27500c52", "1a9a7913db0f726996d28e15ca6de59d36e54c4f", "3373ca46fa2c19112aebd772983ce70183ac1690", "db85195e171f7b75e4e6f99ed3029d31ee557e13", "c747c45c2fb3d678954bf1a16a3d9cc4dd4b8f01", "69dc87575b56ba7f60fa24bdd4fceabeeaf39a80", "c69ea9367e1244bfa5d3fc290b8a33be3abd8c24", "905ade3e9d37e3243877c61dc03c0a4daaa45c0a", "1f5cea8440403bb06ce4868a0d7123b12e73dbd9", "68ba19afe924699b4a0c84af91c05deb5b03e3bd", "f202c78e58d33a65c19183414ad0ee91be440d61", "a625ea5942e68364ceaecaccd7e5cb85b7aedfbb", "acfecef9e56ff36455aed13f8e6be1a79b42f20f", "f86c65bc2753ae71826a0dafbf46a75d22fb5b5b", "820e4727827646c79a9a5d862c510d26be5356f1", "00ba9f2005b750efddd9f883acb03201342b9288", "4efaa2a1a14ba6e8bea779eae49d6220fc771f2a", "ad95faec593acba9f9327b202d1235bbcf23fe8f", "35410a58514cd5fd66d9c43d42e8222526170c1b", "fc38d7e2dc7006383e5b86b922c815251ac55631", "f8a5bc2bd26790d474a1f6cc246b2ba0bcde9464", "dcc1512561b342c003b489f9235c0fca527ac0b0", "0741c84f80f64446f6b87c7db534d6596f8f78d1", "7af971c24f1569a0ec44bb9036564f1b543c3a73", "8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11", "4b3db55f583cdf3fc396d83fe9bc8439d8f5d294", "79d3e7321e50be745bef92ba1405b486bd1f133d", "7056a051e0589ab6aa299c7d2a31588800b8c93e", "d11cd0c7484094a5c778d29ad9f73783613a2f6b", "1e9c3d0d87e09ea359ce1e31114b677d627bf9e7", "685918c61769ed1ef955356658eeb98903f3ed48", "f3ba0aa8887705801cf3fbdc5dc085edf94c54bb", "47412bd10b4d40edf77d8976ae37081493ecb601", "fe35639349a87808481e64f9cbea065339063154", "c0d1d9a585ef961f1c8e6a1e922822811181615c", "ee267e831aba3a2ead7ce6109b48afd41a30323f", "a43c7b7f702c52022549a3533b5a487a1bfa3812", "18fbe981d6f0c7b316b206297c24341cc26778b9", "1f1339196b0c65126145e0fdfdd88a4e197d5896", "6ed82fcb566cf73e01b58d95218204e276f28272", "a7a7d4be51d0918cbec78d84dd1f7363535fd60c", "95bfeca1a19479dfa4d76b3b7211be5462174ec1", "2379f2c6ff59e01dff3c5dc96b63dab67ca50bb8", "75e1e59f82013e9661e0b8400e7d49ca62deb8b7", "8b9f529700a93a2ff6e227c76a1333883a1f6213", "7869d8b9899226132d410ad6d409746bafe58f77", "d787f691af05a56eb0e91437fc6b1dfe5fbccbb9", "f1ec3752535e0aa6aafe3930974a22250e652ca1", "e896b084a247213f48b703c98f2ec6f55a02a2f5", "295266d09fde8f85e6e577b5181cbc73a1594b6b", "a23d2ce6ad9640f24c63dc7a42c45faf559f4039", "40451d8dfc6aa0c72b82aa54a8cdb378a5a70abd", "c017789ff1b4b455220e97bd0264949d8bf006f4", "b9044a4e648d04a3f07695797b22b695603b3fab", "18d8c54c1977f41b7ed71c1eeebf162298323c6f", "f4f616115bcc049b52c4e6e8aca9e08837730951", "318b52b1f37669c24415f4aab6266c72a3b255fe", "f07e54347b9c2c9ecc0878f1cc1d7fd8ac7e2c58", "ddd0cd1e2061ae6941998f2bc7b86aa717339ec5", "57a903864f1a64160457cb9ff172aa4c865b6a9a", "9730a140831f51a6640236e42059b948c5466d0c", "6898b0934d2bc34acc61a3c63fbb20337d7b9a95", "15eafc361edebe3da9ff8debaae16f487fbf17f2", "f8ca23fdb2c9f62a0492147f1f015579049ad3cc", "9bfe2732a905cb0aab370d1146a29b9d4129321d", "2adfedf71aa84a7417d95e8c4fa2288dc995b41b", "2e9dc528c023a6634a51d5a74e95e5f432da9aaa", "a8bdc3a5ed63837785ec00f4dbce932b8957cb2d", "760ae5b075a59d6b448115b0de549f29a58d7f74", "e4433daf01a4e55ffca764c1e161f83552db081f", "36436beaff15390381b04cbe543c73dcef9872ac", "21967faefa55857c6a09f9fe52a10a394757d59c", "767936728b07238bbf38661fc3c2000d0c17b598", "2fb9363fc33568c21e696e82c6869170016335ac", "7b4d985d03ebf8465757877f0eeaea00fa77676b", "48576b8ff0cb471c95dfd503f55b9acff61c5eba", "596e414872debe1441b5e40216febe8788df9b35", "b5ff7932a25e8570e428737653b776e6f942a65b", "9b68fc7b3f395ba1df39d1304c36365424c73819", "61d2057142a1e995ed4c8d337d0f557188eb8162", "9005054204e2dd01182b959f603ca13cf1565d20", "8d6344658fa9673b1f4ac0d0bad53617ee127aaa", "56852a56dd830a6ee3882773c453025ddec652e2", "54568bdce3405ffbe2a6f5820711f966e2d2faf3", "1df1391795000c8085f81316043f0a0adca87379", "0a391c4d7aafa73324549f212cf28640ed471a81", "f27bdc4f7ec2006425f999055df071d64640836e", "8e46ad44e47d323c8cbede0fb9bad5614369a43d", "60e7831264573be83d9e34a0cf4fc9780a04495e", "1001f69c8f5f265e141a471ebf74096eac289878", "12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25", "74cbe1bfb1e5e4171b6fe1d89cd3a03a834617fe", "8e42fc867827a10aad2f425fdd06d83d6462a3a6", "72edfb91e4b3d42547591be9e8c6eb07e7190499", "a6bd679c8a9346a39a003f536f36b7f77c0e09df", "a6afb698b19faa376fe9e04e63b35668bb608f3f", "000b27b8725432580ef9d5b9c5402fc7b76fd68b", "46aba81002e24209ca1962e305e47ef7a1821b32", "a66373beaad40fb5a8e2e1b42c5a2213b166a55c", "b8caf1b1bc3d7a26a91574b493c502d2128791f6", "dbebd79aa29a078bfb7a8044d7a56acb24f8354c", "8747cc07e564e567ed0e8de038a222782206d986", "1802aebb98424af6fa8f3d4dc024da2f1d3ea1e5", "09a106feed520651d785fd8a2df26910f5928f2e", "b97ed8715ef7b93c3540c24245e91a2685708529", "b317d03d82c22f52dbd79a3a19b1384aa53a3925", "48d27876c99241eb23305c90bee91ee1e7316352", "10030368bf59a779ba1e78d181e91d93756fb0e9", "83ca4cca9b28ae58f461b5a192e08dffdc1c76f3", "90f0646c0801f1dad43d2374d1145be8e005bdbf", "defcfed9c43bdf8a4388daade4899ef9d3345458", "8ffd5f01c592cacc2cfde8486f934f6b2c9f95b0", "62567f0042fadb644aeabcbabe78caaf1ae28349", "4c5b56f0da26c745c7375308607beab08d13460d", "7dc6654a122ae36304ed2a091774d04075064c9b", "dafe65b9ca65c67b3a655755ca26e0ffef049df1", "1d8e7a251ca178d7142285043cba1418864250c0", "9f22e0749405dfc3e3211474b933aa7514722e4b", "137457bbf46009b25d7f6d853083b6da02bfd6b9", "a01e3cd6072535838493005107530f12f4d7bae6", "b47ea4d5b0040d85181925bda74da4ab5303768f", "c43490eb0a3ce18fb2326ef1d0828664b60e73e2", "30f84c48bdf2f6152075dd9651a761a84b2f2166", "95e83661648ba6bf2f0fbbf436bc8304c3cf016f", "0f349677a24dce888851dcf44f5c886d9f4681ec", "55b74bc00871b43d69f8c80adb5af6e0d54d24e0", "916d0708a75ed34819d232f4cc82b23346571ee9", "7d4a04c03b73d34c86f5d06cbb88cca4287d8b37", "40757d94d6ef33555fc940d556ebfb0d32410fbb", "8c5dcd5a0b3c9940e544993327eab6425ce645d5", "68245f308f8049dc40f146e296d6e6a6bdba1ff4", "8575adafc04a7915bd71c3733e379577da0c4406", "3a53bad58f8467092477857ff9c2ae904d7108d2", "ef363588ceb966d862b4347051d20b8e1b8834f1", "22d5ec0e9756761b686f85473890a6f6675b524a", "42e793b1dd6669b74ad106071c432aa5015b8631", "dd6826e9520a6e72bcd24d1bdb930e78c1083b31", "5357bdaf7c54619016bdb7ebfa991a65a6cc8353", "a7537db89ba832467594c01f2e9c4b57afe7e719", "1aa0b335906e91cc026741e3523b088677755762", "f883739c699e33937c88bd510be37cb16a23b79d", "6a536aa4ecd6359d54a34aca7eff828e4df02730", "bf8bcda2e4d04b6bd6f5e70622e972baf525a1c7", "c02cc6af3cc93e86e86fb66412212babda8fb858", "cd0f7b3f545cc4bfa5e2d7185789e8ead7e3cee2", "754871be7e73e2db0d1dfe92f7f9bb2ea39e7842", "74113bb67eef4cfa28ebfa8bd38a614c82bdfdea", "887a035bf946b44d218c1c13f0046197bc35b83e", "73f2cbbda2a3f43fba6838a2793000af7fcd2f17", "9b451c1a85e8482befe6f826e1e7c8a4f88f8b94", "4c863a15c4da0d0ccd20c5897a4e33fb771fe3eb", "c010c66620a57b14f0f1b0f7cbc0173d2a844c0e", "823a47273e0e6101be67858f5c5f08e235f2d58a", "645766177de2ef61619572bc09ce239c232d7d5c", "ea5645229264b0925708a09994555756498316a1", "1b6b778f3b18a3c3168a5997bf8e656ecd46211b", "4b3d08514df70aa04961343d355b0a242fa81519", "bbab2c3d0ebc0957c5e962298ffd8c6d4bc25c5a", "cb9057a47f6d3367a6756507ceb1b1f9b596eb7a", "2b0e1a62d7168df5f29e2e9c7fc72ae43c39fdb2", "05bba1f1626f02ef4ca497090b4a04d47f36ebb6", "a9fb2ec954dbb8e1ee6b3a33e0e5c06db2d89d3c", "1ed10535da0954f0a334102ca8957611f52e1b3b", "42b0124c382ee7a3b56c2063e769aae94d7eda7b", "183cf20917780d9f9c6fbeae3fd15afddda7eff0", "f524b1aac4f2a29dab45d7e8726517798dbc9782", "b99957df60ee58e38ad71ed70b9973c22d5c26cc", "8eb2e7c9017b4a110978a1bb504accbc7b9ba211", "ec89c5f2f5acce23b0d05736cd9f32d4ca6dc382", "1a2be2332bd353227970250e0255cf0ae802df31", "034c06a737546856a33816d3a27836ca12875c47", "11c7e7010da7a93287e09b71f920237d0e5aac02", "e030697c19dd1919dbdd889b69df7ab002a8af19", "52f71cc9c312aa845867ad1695c25a6d1d94ba0e", "27fb07897db51ce23db4ef93e2621717ee1db64c", "cb489395a7a89bc6299e78e75ac7c0207bcd39bb", "9d0bf3b351fb4d80cee5168af8367c5f6c8b2f3a", "7934c91f09e5bf819519d4348aafdda7c99267bb", "75b20672a6290a8e2769ba0226d9187c0ccd5843", "a68c07cb446f63fa6b48eda04c93392219c09700", "794cf037dac115755cd15295d8c5fc1c00242548", "03accb50af9e92d0849e72c1a966e7ddbc534396", "127c229a3306bfc8170b84b12316f4a8024cc7ab", "1518a6f8f477fcaa213d5cc80ee4d36591d194f5", "116888b8f08419f027f5047f0ff1557b16f69d5a", "d93a1f71adb7c2e641af966bcac5e594e0b3723e", "806f466034e0c3e609e672559e23d5d8bea6fe3d", "ac5b3e24a7dd2970c323ca7679625a7d29602480", "d5eab901316fec455161994f15da6513198e089b", "dbaa466fa6b9c107307fdfb60a9a0c74db0dab38", "68150d92e2ca3141ff3f4ab3d770e07f6ca13961", "a2505774d5654685c6d899760759520b339e6c1e", "0d9558933bc7305f6fbecf944f181d8f67d47522", "21a763b9038dd75ed1c59bb2c9bc92cff805c34e", "658b5690828c6d3f745d47828867a6cc33370b18", "042e83c87d9cd16eb2309d08b71ad955fc8a65d1", "69188668dd6fe2075212a085bb63b5651f06704d", "58cbd5a31e92cff29e29e8b25ee79f30ff4e6d4b", "0956a3c628959afcf870f5d7ec581160a4aa5221", "150f36869f1dc71fd2ed53b16900c510a89d89c0", "7f3c6bf191a8633d10fad32e23fa06a3c925ffee", "0c9f715835bee028a358701cf5a73ecbc3a7e242", "8f616a1a3a1098dd59c6abad93e41fc86ad32faf", "42e640fc7d37c51b157e7007117eacb78d7789a9", "e1eca56ced4fd2a6a3048ba7240f0fe1991ba45e", "81438ba6eae264ce1c8d2b5ffd9d48eda1d81f93", "8a63b2fb15c1ed01bb1c9c42561219e5162f3851", "6af98f9843ba629ae1b0347e8b8d81a263f8d7f2", "09eaa332ddcd036b0f0950bbdb3624072f105a3b", "ddabb7494b5b6e87c279912071840f105c7a4d15", "6746292c46975ba575a48c2b05b09ab056c26967", "0b74a2dead1ff07447ef49cd2a861a77d5b5de64", "ee3a905ec8cd2e62dc642fad33d6f5f8516968a8", "d83837592e22200824bb125a1cea2a6f0b74d643", "66cc90ea586c914e6a3b50fe703f4379d530fad7", "2be9c1d61092ec315f068bb30f4651cf4f3c7658", "523b2cbc48decfabffb66ecaeced4fe6a6f2ac78", "8179d7c9bab38b738b4879a98f17f0a696dd543f", "6b6946ce943da5ba4bf6471609d3355cadec172e", "5d2c592fdccc7331598cfa60ff70f245faee3200", "e1f794bacd01eecb623bead652bdc9f86e17944e", "faf5583063682e70dedc4466ac0f74eeb63169e7", "f26d34d8a8d082ce2c81937f61c28f3769c38372", "776c5e37eecd26049ae31f56b3249c390e25e4e9", "ecf4690ddd3ad26f9cd1749d16ef1aa06d391f92", "0bf2765d431c16de7b8f9c644684e69fa52598eb", "7e3693fffef8d83ac109309a77f2545d32c10fc3", "b97a155bdd86491c8d32f02d6dfe5b73aaef4549", "32610513986d27c9e3c3045e4f5e04f8b47c9082", "f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e", "65354a13bb76cdd930b88879580eccd2cbc4ebbb", "519b69f50689cf0c702c8432282d98054095cec4", "941fe72a1aa8ee31ab5d15fc035ef856ce032b74", "75308067ddd3c53721430d7984295838c81d4106", "421387011b5cdd2cb4a1fdf04728d350741a0ac1", "a3a6e3cadfed3c0a520e4417fc27da561324fbc6", "29a6cbf089a8d916b563e02480a1844909754bcf", "063f0e6afe13df9913617dbc2230ad4263a595bc", "05904c87cb1d0b1f17fcb018fa0344c020694f36", "420346d7231608ad845fd7f06c8134cc1e150821", "d5440779ca69a2f010e57250f53a9be0116305e3", "4c0ce0ed9cc92115874be4397f6240769d3ed84f", "1f7bf1c9705b6d0485c9ad1a0b91ebb444e5fee5", "963cd7dbac6fdf518b1c082a5b0a6c151c7b97fa", "3369692338841f14ce032fc5d0b5b4fe7cc79f1a", "fa11590fea86049fff1eb412642753422738c584", "524f6dc7441a3899ea8eb5d3e0d5d70e50ba566a", "b129a44a83e8219eeb877d6f98db7d22cdfae828", "8f9449ce1250ba1b9ae0dc96ea3803f0c96d98a3", "1f7cf2df2fa7719c9db3fe57a0f01d65f08a9a8f", "f110f7be74261469fe9b0cc5a3b4ef35e2092d5b", "2d8bb78b2f9c66d45f2c25b04b97603844e1a622", "0f9683ca40a2257ae602eb781a57a4e5d5c53b03", "284bf12324805f23b920bec0174be003c248cc9b", "b79e1ab42bee24b1c904d33a0299569de26ba530", "d4cc504df896c4c5cd392abbdc3f990744ba54e7", "841ab6951767498cc49f97557499b54b3aee4992", "2670c4b556264605c32326f49ab4a8b4e83ab57f", "b73f43a34af3f5ebac0a88066d8bd2eb39873be3", "b6ef46621d8660eb53836202fa58f04fa20adfd7", "790ad3255083ac475185d9de8159ae3cf2e0068b", "73bbbfac7b144f835840fe7f7b5139283bf4f3f1", "dcc064b8bf7744801ae7dfe4cbfd11b7e5a5b673", "082a8642455b9a5cfb27c07cf9969106f8a7bf3c", "6e7c2f13bc2cf5547f4d8a845dc115108e52b27a", "1d9081e59ca765fb5e43fdb6565e0e5be1dd176c", "fb35a3dadbe6d9a1823eb12e33fccf9a3db3c2a2", "bb40bf3b9f059b39958da8d33a3f1ae49eb60e55", "a82cbd476559704a54a2634423311be4146c5025", "247232ab9eabb4f2480dd70557a1ee89afed4f20", "9fbc0135e76b0fd972517e06e833593ecf6ac49a", "ec4af4a6e89d61c05dcdf89f7f5d0a404bed4027", "44fbbd3def64d52c956277628a89aba77b24686b", "32cde4e3d7e225cd0f98f53e54295140df9600bf", "d45775dec9cb9d6f48b583f8d6a864e4cd6001d1", "b6ae677b26da039e0112e434d40baf7dd929a3ba", "ec6855acd0871d3e000872a5dd89db97c1554e18", "38fb67d26d27653f7aa538a1f0237e281d5a4e6d", "5ce035891b920e4728a50af7e4afb54e088f5183", "11bfc54a64ca69786323551bbf88b85b216ae486", "c594231d4eefe6c46ade599c477a435fab64b1d7", "defea28a6d1b749484027576bb388f646c781ac3", "5c2bf097046f538d8d56d86c60dfd3cfb735d3f2", "97ba2eac9f7e6567b228ebb2c18163933ae3f05c", "b370eb9839be558e7db8390ce342312bd4835be9", "0b2cd813a6e4eede24a8e603f361fddf82e67757", "3584b132d652e60056c2cc63f11705131eaf3120", "6e08cc6e871eb7b19f4a540714c4f21f0fdbb86c", "8f2e594f55ca1b1675d8bfef25922c97109cb599", "48ffb705e94dde426b7241108ca915a5ecab6414", "1582c29d0f752f95a12f5a8ce08d5e5c752f6822", "7c79d3a40c1a1f5b9692ed23396b0f13453c225c", "ea7ba51f0e0c78320df382d305db91184f60529a", "c2fe8856caa3dfa282b2c4c11c5c5dcb3b57e14e", "c85e85fab31ef72f1d090b1944eb2fec7f1d03cc", "f2bd32b1d4cd09e73476f2e0778cffa2e3e79029", "ac5d9753a53b0d69308596908032f85b416c0056", "49659fb64b1d47fdd569e41a8a6da6aa76612903", "4e39951c2f8b4600239dec7e10b7ee1ba3a000dd", "2dd409b2eff010631c1e6f3d92b873292064afa7", "6a55d6db1b31f44c9bb37b070fbf7c8f64a31f13", "00858aa4fe471f0412ca869382a2f6c5ac907f50", "f8af9978e0f722d38191e5780fc769dda8a60158", "492355a44b81753d43bfb1827a8a940effdf4cd9", "abfcafaa765433b8f5b8be7eae392a8daec54b8e", "c3de7c38493cfe67654411d77f47069cfa7b077b", "cffc94574c8796cbd8234422a979e57e67eca7b5", "006a2a42d6a0970ceef4b3622426ead8bdf2c979", "753119d52d611a0d08a2d43601719325f89fbbc2", "370d80b5765bac227ec17e783e54cd51cba76b40", "8c8284461633083764e01fe720a186267504990f", "0f2ffd582674bd856247bc5482d85e6db3b49b8f", "821c5fe2fbaece8a86aa3bb2d8be971a5f26f10c", "9ab4c53832c521276c766afd35e943aec3b2a4cc", "3c1d87a9d7cc6599ba235884e25e5030941a00a0", "8401361bcf149f0ed09a6da09d5881fcda7546b5", "0ec17d929f62660fb3d1bcdd791f9639034f5344", "5ad65c6474c135a6c15e7127d8bb91de8c8a55a1", "feb4367aafc60159c8dedcaba2d5a66fdd64066c", "93230746b04a1fd42a8b600cd965be79517ea3f8", "6fee701352f0f5c4abea3e918ddcf078243253cc", "69f7b684b318cce5dd72a0dc7c516c2da17520e2", "7ffe0284db4581e814cdcdba48236e63c50a7d54", "338d4ea0813c668d6e43eb025ea580fbd76bec8a", "5d04bd7104f08f7fb91967613ffc519c27641e99", "67f1537dd5ab89d911977cce217ba5eb239fb4d4", "8ff3c7b46ab36f1d01e96681baf512859cc80a4d", "02e05ad42dbe99257eee1bff3e28feaa005e5924", "2155739f578e33449546f45a0b4cf64dbd614025", "0cff123a31dcc115377ecca6ba137bebca909ff8", "3df8ca618c05514be39a4cde3e68988e73ae6f50", "b22317a0bbbcc79425f7c8a871b2bf211ba2e9c4", "b05ac3b2286c30fcab385f682b3519a823857112", "e5d27e52fafde2b09ae6568fc6bde28468f5517e", "aecb6d0094ffea0738dda1fc2466dc34ab77afbe", "298fcb50848b95678b143bd3650978d5b62d3678", "044da4715e439b4f91cee8eec55299e30a615c56", "78a9bebc5a9a3f10017cac4475fbc970f3a3ed35", "bbf534b8ee9455b8e492a252bef26f9293d4f91a", "20eb57978ec863e031e0960c6799d756a041d60a", "30e3569d672b10ea9104f6e40d657075522187b5", "096e68f8d632f4363056d54a7de9c59d66b806d8", "343b07fc60e2bf9c2a2c8da7d46cee1c3bb85cf6", "0c98defb5a83ea5dc5d90538d1cc8c4b6267a1cb", "75e0d77d50dc0fe492f2c58c1ca86c5e21b2511c", "9cf07922cf91c4aea66c8d72606ca444f4607cc6", "adc71e6925f1879f902173e659f7f63caf19c97d", "de058103b26ea4f15074392a2eee62a3aa935b80", "725a45ad75caf0112d649253f8a69793b1f00e80", "b29e60ddcabff5002c3ddec135ec94dd991d8d5a", "17635e22a73da3ff60a72715b7dd8837de6fee89", "926ca7ce14332f9f848c28565d0f2f9a2d1e35a8", "e7cac91da51b78eb4a28e194d3f599f95742e2a2", "fb3844521f9719e4904e5d3d7e1e549e5881b1f4", "5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0", "0da4c3d898ca2fff9e549d18f513f4898e960aca", "6ab33acf444c39734762b94a1bf473ab2f2872ea", "04b22b008669fa981602c7723b44cb4a5cb2d480", "42b0e7f924dc96df281207d5b6560436c61fbaeb", "a2fce1c551a3c3b1cac16a96f86a59cd7fbd4c80", "8304b011f09655927010d2893710d17dd6ea4f39", "9fb1bd7d98a2fa79e1b9cb21b865ec7af0c1283f", "f16921c1c6e8bce89bce7679cbd824d65b494e4d", "06c333fc146d0a87f591c82a1f22925ccef378b1", "f614f9ba33554cfd1a474be03520319b51651a35", "6761507700db286d23fc7185d44b95087ec277b1", "ec5f89e822d9fcbc7b7422dc401478fc29f9c02d", "368e7f24c43f5d628d938dd453127917b6cbefda", "6d55aa7731364ad19865f1aeb2d8e84a3f155f81", "34351420203bae3f7be1c2866e63f34410f68099", "7da9464dbae52c8bda13461a4f44420c333b0342", "28858a6e956d712331986b31d1646d6b497ff1a9", "82da8e52232df3124b7130a9dab90af9f165de90", "86bb3f1189095547defc95d0f3cebd21ea47e36d", "20388099cc415c772926e47bcbbe554e133343d1", "eea0640261e2d9bb6b851a519ef1a036093ec04f", "d377e648734f429ae50c889c43b7b2e9c5ca2d66", "00f2cb52f5d88e09d24ca791f9ecd64168c8a570", "2ba64deeb3e170e4776e2d2704771019cf9c8639", "67ad519dee36c4368163c1617f5018fee4aa30e8", "22ded1d36fdf941584a2dccb8ce981085e991116", "e4485930357db8248543eb78ce3bc9f32050694e", "6c54261f601c8a569149b77d32efe6c58f2e4a2e", "7484911e00afec5c08e7b83f3a1259d60035d77f", "2d532fd0636fd49dd893c9dff7fe615f974ec826", "87bdafbcf3569c06eef4a397beffc451f5101f94", "aaec8141d57d29aa3cedf1baec9633180ddb7a3d", "3ebb0209d5e99b22c67e425a67a959f4db8d1f47", "0b5915fdba1e99e401f0e964deed33a9e12357bb", "67c56c3893d4ecac99e263e1374ce851fb988e4f", "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "12044354032fdee40405cb12e8bbebb6d073a768", "741da133076cee3cd0efa848e8ef8aee5adc98c9", "46d477442fa49a497b5ec794b613f127ee647bc5", "9360cdc6ea9d1d373ff31387b5528fcea2d815ea", "82d6794d7898fbbafc64bc2432ba3a6c951a7872", "2775de727d56d50b63d473ef2ec7bfee9b62b185", "c4e60b0cdaf229f982cfdd8dadd1392d2c569fa1", "43aa40eaa59244c233f83d81f86e12eba8d74b59", "48174c414cfce7f1d71c4401d2b3d49ba91c5338", "1b2d9a1c067f692dd48991beff03cd62b9faebf2", "1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3", "4ce474dfd3c52a95d208c170d0bdb47e070aeb88", "0cec42a1593a02ce3f4a44d375e3b95f5797aa21", "0037bff7be6d463785d4e5b2671da664cd7ef746", "d77f18917a58e7d4598d31af4e7be2762d858370", "59ac40ba02eb812e08f8a80f2303d7d97376fae9", "75e7fa7290b9b740559725b9c59df0d457523ee3", "81a80b26979b40d5ebe3f5ba70b03cb9f19dd7a5", "7480d8739eb7ab97c12c14e75658e5444b852e9f", "be4faea0971ef74096ec9800750648b7601dda65", "c03f48e211ac81c3867c0e787bea3192fcfe323e", "fdd19fee07f2404952e629cc7f7ffaac14febe01", "0cedb284c91816ad282ea3f59f5ed84d295fe1bb", "210668e2dd74916ca1aa1555aff30e78cd3f477e", "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "d37519f8b26a86162bff65ee48d3a805773b7c98", "b28346f6a962c6bbe309c891cfe04c90b97c1fc4", "8ea8cdee6f62751d87339f821d2b2a094ab4b260", "0d7fd4f4245c81b586270826458df1870cea46da", "c3fb2399eb4bcec22723715556e31c44d086e054", "c51fbd2574e488e486483e39702a3d7754cc769b", "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "d95db5ddb83e441e3441fa3b727ddb15f1266846", "4d9b757b51e52dc5da81f47f7006833269a55ff2", "1fd6004345245daf101c98935387e6ef651cbb55", "de878384f00b6ce1caa66ac01735fb4b63ad0279", "88cd4209db62a34d9cba0b9cbe9d45d1e57d21e5", "7ba7c3652aa9c21cb31a745657e0bb3d7d7ca890", "38a2661b6b995a3c4d69e7d5160b7596f89ce0e6", "a8fe949f73ad7c0ca5cdabed1a0493be72c4a598", "b68452e28951bf8db5f1193eca3a8fd9e2d0d7ef", "09ce14b84af2dc2f76ae1cf227356fa0ba337d07", "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "f19ab817dd1ef64ee94e94689b0daae0f686e849", "0034e37a0faf0f71395245b266aacbf5412f190a", "80326699007a29119728636ba13d26efc2b10a1c", "ada73060c0813d957576be471756fa7190d1e72d", "746285327c609db16f18f47b9422475953a8a2a8", "98c2053e0c31fab5bcb9ce5386335b647160cc09", "86fa086d02f424705bbea53943390f009191740a", "aa1129780cc496918085cd0603a774345c353c54", "ef19c2b2777d08740c96857b9554635386bfae14", "4bc4a7c4142e8b37389fddd1e2338298b8b56e96", "d3d71a110f26872c69cf25df70043f7615edcf92", "d0f93c7c32c433f246f20ed4c15d1c9de718938d", "749d24ba31f0bbd0344cd2dd879c6549c64f3d7e", "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "e9e40e588f8e6510fa5537e0c9e083ceed5d07ad", "6fa7a1c8a858157deee3b582099e5e234798bb4a", "e293a31260cf20996d12d14b8f29a9d4d99c4642", "91b7270b7f2a8a52df6a689f73d14986b2d48ba1", "ad6e42a287ce14ae6f49bac5e2522517aae56d84", "5a8f96f6906af8fbf73810b88c68b84a31555f60", "db0b512d4473bf9d08875bc001038e9a3fc71a11", "0cdb49142f742f5edb293eb9261f8243aee36e12", "2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc", "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "270acff7916589a6cc9ca915b0012ffcb75d4899", "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "3ed5a2cad06209b00b51853fc399b9c240af4c18", "f45d6a7bdb6741242da6192d18c97ac39e6308db", "b98e7a8f605c21e25ac5e32bfb1851a01f30081b", "ce54e891e956d5b502a834ad131616786897dc91", "2ab034e1f54c37bfc8ae93f7320160748310dc73", "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "b3cb91a08be4117d6efe57251061b62417867de9", "48121f5937accc8050b0c9bf2be6d1c58b07a8a0", "701563eaca0c4ca985d751ecf9142dfcf0e0c9a9", "2a35d20b2c0a045ea84723f328321c18be6f555c", "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "332b0a954a1bbe2bf678850bfd3378ab09b4737a", "367f5243e3a7cd3dede3a9b2c540906d18161636", "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "5c4f9260762a450892856b189df240f25b5ed333", "1175e6e0f37be33d0bee87a63ac31631f3e1462d", "d562303ddb580cc6a5d700c857e19b2cf77f5c84", "41f8dd3de3380d49ed3809c582b139d9be5176e9", "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "69d126fee77fff737a5d4404b623be97234a5dff", "61bb5e11f1ca95fbde53605f9aa7119787c1fe5b", "917423ac7e47cc6131084f645444aaf98cb98395", "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "6a0368b4e132f4aa3bbdeada8d894396f201358a", "0addf98106d949bb8d96734867db6c0bfadd4d11", "1a83a63c645f717950b65d22fe53be208e6de71d", "ffc5a9610df0341369aa75c0331ef021de0a02a9", "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "baa6b659c18ede26085dff29fb1b3130217e9102", "6c01b349edb2d33530e8bb07ba338f009663a9dd", "238fc68b2e0ef9f5ec043d081451902573992a03", "50f0c495a214b8d57892d43110728e54e413d47d", "cff80816977a28b942a2351c69fb9d4884041f86", "02e133aacde6d0977bca01ffe971c79097097b7f", "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "e8dda897372e6b4cf903234c7a9c40117711d8d8", "217dfb88befc92b29e211ed2c3c6ae774a9b6d54", "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "a55c0810e6c84f8e51953c0d8fd9971696d205f0", "df2494da8efa44d70c27abf23f73387318cf1ca8", "27a0a7837f9114143717fc63294a6500565294c2", "b23bad5159c41b32fa07e901b1cf52fdb41450df", "1e95f08cb399bda0c25d6791713bc9537c159dd9", "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "8af411697e73f6cfe691fe502d4bfb42510b4835", "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "9a345efd67dbd02ed2be4d8f4c63538f0d41c328", "7a51ba9f18b8991956696a94bb014e40fc4975a7", "404776aa18031828f3d5dbceed39907f038a47fe", "a961f1234e963a7945fed70197015678149b37d8", "7397fc452aac26712099170431a02fd531f97cf0", "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "c07ab025d9e3c885ad5386e6f000543efe091c4b", "1eb9c859ff7537182a25556635954bcd11830822", "b1961dca4d37aa72a0713fd2164d70126ffc0587", "b41d585246360646c677a8238ec35e8605b083b0", "9d757c0fede931b1c6ac344f67767533043cba14", "2c56e17a37c3584d128e7baf3cbea595a150f74f", "771505abd38641454757de75fe751d41e87f89a4", "13901473a12061f080b9d54219f16db7d406e769", "ad39efdb45b9b855844442991c0588eeaa61fbd0", "d878a67b2ef6a0a5dec72db15291f12419040ab1", "c17c7b201cfd0bcd75441afeaa734544c6ca3416", "c18a03568d4b512a0d8380cbb1fbf6bd56d11f05", "d0d75a7116a76ccd98a3aeb6f6fff10ba91de1c1", "2784d9212dee2f8a660814f4b85ba564ec333720", "a92c207031b0778572bf41803dba1a21076e128b", "28be652db01273289499bc6e56379ca0237506c0", "debcb4d9de36e6f53fd246b3d65c8260b6c56a34", "518a3ce2a290352afea22027b64bf3950bffc65a", "ce37e11f4046a4b766b0e3228870ae4f26dddd67", "22e678d3e915218a7c09af0d1602e73080658bb7", "3b9593a7ba7138673e3d34c5fb68d299c832ae9c", "5506a1a1e1255353fde05d9188cb2adc20553af5", "84eec311063320352b771b71156292148f25b0f3", "a29a22878e1881d6cbf6acff2d0b209c8d3f778b", "b49affdff167f5d170da18de3efa6fd6a50262a2", "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "99ae2fab79a3eb494be133ee47ff2d4571052b30", "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "9ed4ad41cbad645e7109e146ef6df73f774cd75d", "a2de19bd3095f6cac4ce9205f0cab363e88a83da", "edbdc2920441bd751f57bea87a9c0fc283874b50", "467b602a67cfd7c347fe7ce74c02b38c4bb1f332", "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "62c435bc714f13a373926e3b1914786592ed1fef", "4da21844c20980c64bc0303ad887ab10758a4258", "96cf50510bbdeaeeec1a66c889af32a0630c1f90", "0f3d44d8de2754358c27b3e2568cb1cec7b1311e", "60737db62fb5fab742371709485e4b2ddf64b7b2", "a5eb36f1e77245dfc9e5c0c03998529331e4c89b", "90fb58eeb32f15f795030c112f5a9b1655ba3624", "ec40df721a80c62d4a768fe29b58d86b1a07f435", "307a810d1bf6f747b1bd697a8a642afbd649613d", "4d16337cc0431cd43043dfef839ce5f0717c3483", "21bd40e7219749039064c9b9c00674606ba73b1f", "a38dd439209b0913b14b1c3c71143457d8cf9b78", "3f5e8f884e71310d7d5571bd98e5a049b8175075", "d78fbd11f12cbc194e8ede761d292dc2c02d38a2", "b108c2a80744fc1463f9cf30ecfff79cd5d370e5", "8c7bceba769762126fd3dae78d622908bb83c3d3", "33548dec33abfc66bba40ac3f9651c0605d6b537", "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "19296e129c70b332a8c0a67af8990f2f4d4f44d1", "c8bd42f19a4f7087d384cd5b5233e36a4b9f9fd1", "dd3b83ce1b52203afd05b15c660ec6e19580299e", "ee7093e91466b81d13f4d6933bcee48e4ee63a16", "b0b8757e6b327180824f01514cfb81b1e2823550", "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "c81ee278d27423fd16c1a114dcae486687ee27ff", "3cf9156e725ebb91a896b4601e291d1da909aedb", "78d645d5b426247e9c8f359694080186681f57db", "5302df3216856b0c54267455078c206948c8d545", "5028c0decfc8dd623c50b102424b93a8e9f2e390", "3b1bb92e03dbce3792cf386b9abb61a330597746", "34108098e1a378bc15a5824812bdf2229b938678", "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "89272b78b651038ff4d294b9ccca0018d2c9033b", "86915632efd021e1dca42f16df36944d08de2fbe", "2493fb68320162f1de3fa3506c87f33fe0dc81d5", "789a781eec0cf28d4294c270bbd72f3a21e41dba", "2563b2adba98788a217565ba5a648f83cb75eeeb", "1d1a7ef193b958f9074f4f236060a5f5e7642fc1", "7aa7decf521b394b9ac3d75d03fcf2aa7d792858", "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "3ba74755c530347f14ec8261996dd9eae896e383", "a937d8d4a25709d1572192fc85c3f12759067ce8", "a0061dae94d916f60a5a5373088f665a1b54f673", "c4c1fb882ae8b48c461e1f7c359ea3ea15da29fa", "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "b1290dff343ae4980e3e853055ad9a5b9116238b", "af53ce0f3a039c685b754e1f704817e03e182412", "c7835d080337efb17a174f175c0fd889a255578b", "fefd9778ef0c23b9e59c2a4748dcb98c827168f4", "2cf55b050102bb770ce20284cb1fb33681822a48", "0c069a870367b54dd06d0da63b1e3a900a257298", "12003a7d65c4f98fb57587fd0e764b44d0d10125", "218aa551e3947876e746e6de4b2b5b144885bdf3", "4180978dbcd09162d166f7449136cb0b320adf1f", "2004afb2276a169cdb1f33b2610c5218a1e47332", "5c92355b2808621d237a89dc7b3faa5cdb990ab5", "3b75681f0162752865d85befd8b15e7d954ebfe6", "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "2643ef482e63eb56b9474fb7b37440764c8e2651", "958e5e855b17a736bbaa65eed0412b0f1018f1cd", "6e3a181bf388dd503c83dc324561701b19d37df1", "e4df98e4b45a598661a47a0a8900065716dafd6d", "2400c4994655c4dd59f919c4d6e9640f57f2009f", "e880437e23b1f8955604b1c7d09fbc4385245d19", "10e38b46ba1b4eed683459c292e00a2d3509bcac", "b306bd9b485c6a6c1e4550beb1910ed9b6585359", "8c93907f376fe93b9ec847f5034afd623b9774e6", "c0230b49a8576aa83805bcdf5efcafb38efd8482", "426913f890f07a5d79e6c23b83cd928ffc00e494", "972e044f69443dfc5c987e29250b2b88a6d2f986", "6a69e245fc5d615a849518d6f6ef320b46545672", "d340a135a55ecf7506010e153d5f23155dcfa7e8", "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "deea1daf5825a0e5cc50da17b7bc7e96ddff4052", "a38808d5295350132d0e0b3031837310511f1e1d", "78f08685d44b6c6f82983d9b0f9c6ac2f7203a5e", "9fc04a13eef99851136eadff52e98eb9caac919d", "83bce0907937f09f5ccde26c361d52fe55fc8979", "48d67280368d7efdc3893d286290a85a00070918", "31a38fd2d9d4f34d2b54318021209fe5565b8f7f", "2f13dd8c82f8efb25057de1517746373e05b04c4", "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "09060ae3b8057c1cfb391dd96b177e14555584d3", "39b4b48aeb1deca67390718735511f2fb5d71c5e", "5ef3e7a2c8d2876f3c77c5df2bbaea8a777051a7", "ac12a36330248eaddadd3e6e75b909e023c7674a", "5501e3a19f32bf537c9fbaa34593ee0069db8ff8", "c48cea0c27c9df398651b4f1722b1179ff1fd19b", "57b8e6db0002660f03c4d93174a05a6d525fa755", "f2f590d81e7926b3348d6eea1417e88bc00c40f6", "3fed04ec797dd248b93954d83a24d9652181954c", "1921795408345751791b44b379f51b7dd54ebfa2", "ab0d227b63b702ba80f70fd053175cd1b2fd28cc", "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "67c703a864aab47eba80b94d1935e6d244e00bcb", "315a90543d60a5b6c5d1716fe9076736f0e90d24", "26727dc7347e3338d22e8cf6092e3a3c7568d763", "b36faeba2383cef082f9f3f509dd2098a926e2f5", "942fd0b406fe1d24b50d745cd31fd31220c78f0c", "8964524580ea2cff41a6b5858b623788bbefb8a4", "a8a8f17582a5ba873eef2526ef4774813b19bfac", "19dd371e1649ab55a46f4b98890d6937a411ec5d", "50861dcd93908969f9e688951aa298519f93efac", "b5c30099791a909b87c736bfc269b347544a859c", "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "4b13a57cc3c39d404239c726f12669f352f69ef5", "ee56823f2f00c8c773e4ebc725ca57d2f9242947", "7aa062c6c90dba866273f5edd413075b90077b51", "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "9ff931ca721d50e470e1a38e583c7b18b6cdc2cc", "845f45f8412905137bf4e46a0d434f5856cd3aec", "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "198b6beb53e0e61357825d57938719f614685f75", "9649a19b49607459cef32f43db4f6e6727080bdb", "d92c08d8d10aef4cff8342f9251d0112e1c2fb45", "e1dd586842419f3c40c0d7b70c120cdea72f5b5c", "8166edc1352eeef54f6d861b93673c36d67927e8", "5de9670f72d10682bf2cb3156988346257e0489f", "d3b38fbaee4404e31186d9db98ecac74f48a433a", "c95cd36779fcbe45e3831ffcd3314e19c85defc5", "6a42c07228e46f318ca5d52166007c3fe113aa28", "ff012c56b9b1de969328dacd13e26b7138ff298b", "b166ce267ddb705e6ed855c6b679ec699d62e9cb", "37d6f0eb074d207b53885bd2eb78ccc8a04be597", "1171e8a96ffb15fdb265aaba02be014a38137ad5", "3605c2d8a532c15e27262f9b00bbc920c94645d7", "965f8bb9a467ce9538dec6bef57438964976d6d9", "ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b", "20747cf1685ba615f19b0db7b17b66bc58ce3453", "fb228b214e28af26f77cc1195d03c9d851b78ec6", "45edb29fb7eed5a52040300e1fd3cd53f1bdb429", "1f745215cda3a9f00a65166bd744e4ec35644b02", "0647c9d56cf11215894d57d677997826b22f6a13", "a8bb698d1bb21b81497ef68f0f52fa6eaf14a6bf", "03f14159718cb495ca50786f278f8518c0d8c8c9", "a2fbaa0b849ecc74f34ebb36d1442d63212b29d2", "32727cdda38066f03e5819acddc5e62c8b54974a", "a5f200d52b588030c76dcc38c504f65d772a1f5e", "407806f5fe3c5ecc2dc15b75d3d2b0359b4ee7e0", "272e487dfa32f241b622ac625f42eae783b7d9aa", "55bc7abcef8266d76667896bbc652d081d00f797", "21bd9374c211749104232db33f0f71eab4df35d5", "82be2bc56b61a66f7ea7c9b93042958008abf24c", "559795d3f3b096ceddc03720ba62d79d50eae300", "7b19d8e0667df6913f6cd72ad178f3bd599166a3", "bef926d63512dbffcf1af59f72295ef497f5acf9", "cd010fc089c580c87c5cff4aa6a9b1d6d41e2470", "1750db78b7394b8fb6f6f949d68f7c24d28d934f", "b15a06d701f0a7f508e3355a09d0016de3d92a6d", "8a0159919ee4e1a9f4cbfb652a1be212bf0554fd", "e1179a5746b4bf12e1c8a033192326bf7f670a4d", "e10cbd049ac2f5cc8af9eb8e587b3408ad4bb111", "a32d4195f7752a715469ad99cb1e6ebc1a099de6", "aacd658991f2f37263e90cfcb0282fbda6719f65", "a694180a683f7f4361042c61648aa97d222602db", "fa2d02343be1de448ac51c3a668c29f231b362f8", "be13f17ca05bb0f80f1689254e516130874c6f6e", "a010835842ac0e49eade395f056e1e33d45b6ea5", "8f400ade331e7e75ace804726aa2bb397980415f", "f0ba5c89094b15469f95fd2a05a46b68b8faf1ca", "ea4a61299b3b19adb02d4246aa33cf8e8469ce98", "dd6ce56da6593add0e52951b46d198950554c025", "c6ab9ee6e406993d784f9a4b46bb06070abfe7dd", "241cb0c59f63fab66f4772b47a17a41cf6e5f23d", "a894c3f61b79efed2389eaa3b9744b0427087f56", "116261c74ad54646f7d1d6be38cb9930f1bf44f6", "10f74097f65d3e80a79a271dcdcd9b6159a1f58d", "42750fbdc5bff1a2955d2ef4e5d197e101843bed", "3c531cd922bdf3f03fee12c82a77a7eaedc6734c", "f774f80fa4b5a8760084921f093730da519c6681", "026168fd2bcfbcd02012e379f35b7cfdc4c95ee1", "e11247abf2c359428d414a97ea21e0744e2ef9ac", "8770d091d91626e80c7fdacdea6bbd464986fb13", "56370ddb77e57c212e562b600d9299ef0b28184b", "6b6866fbb4354e30ab34db9d6a8a07da4bf25777", "a19f08d7b1ce8b451df67ec125dd9254b5a05d95", "28ef59700a57bb4d9416e09608cc1a03749d2103", "3ad1e34dad185501ebae44dd9dbf0f5c91aff183", "ff8d115b73a301cb31d58c8621ea22e1749e570e", "1e394f669c4f63c593677d2850c3d022a6fc1ac8", "0fcca61391e7ee7718f5d2c05adc658f2978a2e8", "490a0b6ff5b982e884622bb9c81250f05c069f32", "98a18702cd9be53341f12c0e711df9d985120ad7", "d57ce0ff4acb2910c2d1afee2ebb7aa1e72a4584", "ae5743712462f99bc3618eaed9814ef305048ff4", "f7aa587f5bcad000c07f41ac91c4fcd9ed3c2a8d", "7c0f7d47da05a41e8671b059ade70dd2df7070db", "770bf54c87e55c986c5bc383f3ba240284ef8908", "ef13cefa7700e1286c52700cee5b36c4e186b27b", "b4a2ab88955b9b23db59bcd1b7b8488b2d4ecb8a", "76a313ca56efaaf03c854b2c3fc94b514fbc5e75", "044264a61868bc4e0efb8b501f326cb93f9fade0", "7c26559e7269679ef52a85d02c6ff7000c2387d2", "ab68837d09986c592dcab7d08ee6dfb40e02916f", "8370912226ee7783c459368593bc3f88310b1414", "15a559e988cf565879bdb5941b93c35686c0ff6f", "73d8fafee6be9d4fa789ece2192f259199f00e60", "14635cd7a9c91ecc0133d02113bc8f6332492f31", "97d811ae99bcbcf9f63c2f447041ab6d74a20b1e", "e5d4e5d68ab05a02dcab035a0d8ac8123a1bdcb0", "f8aa5d47c0de3eb423d545f3318e3c3715524a27", "59f8d0e79eb02c30a5f872038129c4b5dd9bc73a", "90fbcea84f621ee5d73482c5cb02479778aecccd", "bf735bb7557e73bc6f68853cba828b55bd163726", "96defc23602f84af2ee6b7e7c75afaa7ee560eb6", "2bbfe26aac63693556a7eacb45b7271532d0128b", "a70cfa3d84d0ea64a09faf00ee1b0069d1ebf73f", "8064d7a28c763ec37a840450d729f23428ad8f8b", "d095bafdecbae3a234d92ee96005b45cb5b1f55f", "3759b4fa10eabe047ff417b3076458b44132dc8b", "0c1f066a2246fd8d817318e3081f6fe3589f42ea", "5b9c849c2acbdea6e3cfc730def4f083f169521c", "74ba4ba7a2c97826690b9d45edcc82532d1039bc", "fef0b51c865cc72b64bfafd6a1bf3539c3c1d290", "d5cf8636e5435cb2d31165fe1edea5a5e3ae798d", "273fadb4247020b830f48be556b4b44fc900b94f", "1fe0fd340996ac94d6aed72a22ace49a34ee728e", "f3f06ab2acce6aacb0cbf709784ee7d90df27969", "626913b8fcbbaee8932997d6c4a78fe1ce646127", "efc6e9bc366ef4b0de3fde4c81dff91f3f03063f", "4d231311cdfe3aba13766bd0b358d4db0a9af3d3", "cd6aace4f2e7b95e3069e708ebca1e9082ae0559", "36ca720185b62e92a7f3cce75418356a5a125d24", "4845a5041529d0c010020cf08ceb376c096abc9f", "197a3c1863c780507798c9550dd6faadeb65caaa", "bace9d834e3582333b9460e33f0d6712eddab94e", "103b33d0006cae8fdbc9998b3136264771cfe025", "bea56c0e615e6cea496f52331432bbc344d55192", "49f70f707c2e030fe16059635df85c7625b5dc7e", "01c0e86de95062b64bc56216d8bb769cc896b223", "cd6978bf6b98794552bd52d166b5e04626fb6d6d", "b1bd58bb76ae9e4504622a941e1da21a24b5cfdd", "df0090524461ac8e16987a6e30d4287f7c8e0c8c", "547679aed8f1043628600a40f261aff2e951d316", "cce8da044492b41f692aa56a03ad5f11102ce973", "0cf0f28d4d9e571cab6c5cf9dcf91657fd869b2b", "9039b8097a78f460db9718bc961fdc7d89784092", "3bfb9ba4b74b2b952868f590ff2f164de0c7d402", "e4d08ef1b4350c7e03bdfb716200370c2ea87a6a", "cb11a150fc245958799e763069a6ae3080814d40", "902d1b14b076120cb21029b51ed8e63529fe686d", "dd7875abad93418e275825116e029766ada9b9c6", "b96583c64a3e098adff6114a5dd42208a6ca67fa", "7b47dd9302b3085cd6705614b88d7bdbc8ae5c13", "2eb37a3f362cffdcf5882a94a20a1212dfed25d9", "e7b6887cd06d0c1aa4902335f7893d7640aef823", "ea9085c359fe8d01298c60ed8b2a2737b67a9f63", "111f2f1255fa9e5a82753bf5b3f2f0974e87f86d", "b21bf45cd3aeaec3440eeca09a1c5a5ee3d24a3a", "0939dcc2006eb7d196b63106ef1fcd54a514e4a8", "bca52740ba679b67a508894e68a0e52f6bf62079", "d082f35534932dfa1b034499fc603f299645862d", "085ba9f82e15603f1fe2a29dfa0182d46465a591", "edf8b7b4275560b2f779f7cc6a698fa43338442b", "2c885d046ea482774d0c657613a061ad21668557", "fddf524012a4e1e7be94827d2ee5506d2678e540", "04644c97784700c449f2c885cb4cab86447f0bd4", "fa052fd40e717773c6dc9cc4a2f5c10b8760339f", "d7e8c6da1a95f41d8097b7b713890ccde13ef1d8", "90e8610ffd1550648712d78074236daba6caa58f", "98cb6011e3713239c0e758e0befd94e060fd9064", "6f5d57460e0e156497c4667a875cc5fa83154e3a", "b759ce285c6ed41dc8efbae1fbe951e83f4ae292", "3eb174af28a80be4e3ce5d55750d7d38c2ff4da6", "7b905905b616be6ddacb1808ca9849ab19863967", "4e246e8b505b67dda0fee6b344806e2faa504b7f", "de8381903c579a4fed609dff3e52a1dc51154951", "3515f79514fda3d82bd8117f51986769d6f13b5c", "dabf269f516adc6bf87a7ceb455cceda4466917a", "a06f0b2d569cbef0822ae5e8625b4cb2a7f1d78c", "13f762bbbfd0921cf8904265eb027ac99e70ba6d", "7c327903219c4da8bd127b467b47ac0867529973", "d2ed9996d42d255f05c6a56aea28e385d75929d8", "791eb376d4db96376eba3ef804657c5f0ba7229a", "6818c60209f0c4f979d1ff4211aba49afe9ae78d", "e5e453771109f60be145c2b09121f7e85fa5b1dc", "ead587db6b2b76726e98b17cb1fbf973a34ddf31", "61f4e08b938986ea80f711c73cadbc84e1811181", "541b13515480c0371bb8bb79cf17120645edccc7", "a8948941f7a24c09cd7c26f3635d8571c7998570", "d7702b849b136f614bd751bdd416c747805bbcab", "8ab16c26678245ef009cbbf87d750cfd18e21572", "0b3be3656a90edf9d8e7c88c89927eb42e674aa6", "f7f1c57d38748d718309d7d55ce79e41d60f0940", "3cfbe1f100619a932ba7e2f068cd4c41505c9f58", "9f5098dea38669135c8552a83f4730330a15ebba", "cf7e6d057e6ef01904770be3dfc9da29f9c1e197", "1d5f22e73aa0d8115af0be61fc8832de501f4a1b", "c8b1850cdba18e3de513a315810fa4bbde2da867", "b67e2ccd0f05df5358464b9b38da3bcb9feda1ab", "27c6f50eafc11957df59b8a6c1894600f3011802", "69d1b055807ef35a8f9490775348cce899421841", "b3fb2255fa1535bf8a8609d4a47ab09d5ba3e417", "05ff2975863bc9f7b16f2c0b85a1d17f8b76cdb3", "cea6a4b34e3bf3837dbac1058770f1009a4a580e", "98512028c62db408b413fec756e99f9085c46bad", "410017a1810308564dc54cb986b12f079428f966", "9c93512df188d7dbab63ebe47586a930559e6279", "c1c3e32ecf6da8e1372fab7d504cb8cd2c86fd93", "3e6c43835e0579fbca60db2cb124364549dfd2b0", "5fc15baee1383d502775fab8ee91d56f4875429c", "2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c", "6c984bb3243f3b8d0afd8d90cd4ce85eb8f1dd3c", "52d158c08e269b62cdc7c0cbe339206d20de370d", "4fe0c6c83d998a0660bc5280c8ab6e61df9df887", "6149229bb6c705b8e4d9fea772e7e375437947d7", "cc34b0ab84e82a6d8ebce08eff1b7556026b5352", "108c973b51514f54cf2a078ca243ff0cde091f4b", "62d9750adb300cd53fb107b174cb6a07fb8b96b5", "14aad0d391a9491eb122d5b6af6c325a0e090dc7", "919d08e9645404c60b88f5f5e8511e363ccdf922", "f8c94afd478821681a1565d463fc305337b02779", "d76e0235c3e5f826f99392d3165541a1944308bc", "60acfe1311d3e624287321256eca4adef5f77ce8", "10f16af880a8c7127c1b343a25fdc936c2bd5b11", "71bece8ec4934e3034f76d8ba19199c5b8ec52ea", "673ebf0d41100f67d9b6feb0dba7ef96d23d81e6", "e5ae390bca95fd014918717472a5507eab7fb069", "7085d21f483743007cc6a8e3fa01d8bdf592ad33", "fbd047862ea869973ecf8fc35ae090ca00ff06d8", "5c97cef9cebf101b74699f583f3e324aebccde32", "9108682a3bce19d67d7b48d94bebfbf6ed29fd8e", "21241d07840e3cc30feda59642571a9b459c817b", "b7b6fa6aa0155a9512836857a0140a356a8190af", "69e52ce4df3fc14d2321637ac4e9843dc2e68b0b", "5efa4cbe10eca74f0806c13257c6403ea5732214", "c04fec95a448f9b01dd4399b3a5a365f67448bdf", "7cb0f54a9a02b32e8fecee6d32fa3d392ad29379", "cf7b4fa0a8b58473b94496f353f3c8d0f9531b71", "c7abfb920bbd82e117411817b32b5dc31d04eecb", "f4808e78bc648f9e1829c83a68a3e8ed4e7cf325", "3575d74eb548c3187ec5b0d27383ac966b9d7110", "1f7e6d9ae543c67fa9cac2476d7b5396f881ee69", "8d09c8c6b636ef70633a3f1bb8ff6b4d4136b5cf", "7ed88b4444de20cda76cd73f7374ccb76e753002", "9214e71ca44d87a9f43ba719f411d5307d78fc4a", "397349476582198639abc7a8b933e350cbc24c37", "5e2266d4ca1377bdf38ad2c07d0d9e0200813522", "527d596a56aa238dfc450c3ebfdae31e82c6c175", "c16479cfa79fe9996ca16fc30add9099815abb04", "718cd7e570600401c64e31bc08ab404be97d19c3", "5bdb621ae5eab5d64ae4984ab0e6e74a1b4b7a57", "179253152fba4626e02a57067c3eb5302431e537", "8c0f38c7c07c631d0b5414a84dda2992bdc4514f", "d8f96bb4130604bb5e160611d499451882f4166c", "58b80f0e484d32c9fe5b57648848e048270d435b", "3d67e97227846f579d1825e00d395d30e17f5d0e", "43ba38f4f79f7ea47f472ad70f00f4c96c9dcdfa", "2cb31b1a334de6763732a0e147ce30ac1eb849d4", "40099b528b170c180022e98577544435321e9d79", "a4b5c5a1a29d5d609d44bc9c29df0d96a30cb68c", "d7daf70491eb407db4b951861062edeceb8ccd6e", "57f06c0bab366438ebea9ea047678971653923ff", "702ac86ca51e18a3a50ab0ba7c379673c077d97a", "8044b9683d3fb609365fd4b053712ea7fa2b4e22", "ce06644d1d71e258363407288638ce76b561fadc", "fab6e12a913223b69e1b9f0672df6c89275b1ed0", "892b845bbd1b2eba8d014c852ab5b8a8dced8efe", "fba6b4b66aa4dc04f96336ca94887a669adf8e49", "ad46f1de2001474cce1047d88703f61580c8a5de", "3fee310b47f361e4d7c298679db411999847e375", "99cb716cd7687db8ef3d0403c85b1ab90869800f", "1fbb93701bc417f7b7e3273f05dccb385826a984", "3bf0f03e37929eb40de452a1e2773fb8b77ebcc1", "13ec6666b8b722ad9eb68a21a302e3f2f1ab4df7", "23e1746c449e675a4ffa3833b0ac5c5a7b743f7f", "243cd27dce38fd756a840b397c28ad21cfb78897", "596e101d08b1972ca53e6ba8a5696eb8db5a3d55", "1d56d3b129e2671d42f656114a628e31fb181965", "b610e52b0a8fa11af3d01944c0383f015cade9c0", "439ac8edfa1e7cbc65474cab544a5b8c4c65d5db", "67dca5503eb4068c6ed5be34b7488a4aad6686a2", "15dc99e91da7c6cf808d9481ba4a9dfc5914bc63", "c253e241ae1a7a3fde79bdd62ce5095a0d18ed71", "9ee5218a2a74fafbc4227f6c7c587b72e141bd33", "2af266cdba82b168bc61408e5d5e9141540ba028", "c4abbd51777785234d5b77734a281d50d2606441", "024b7d7b1961bc4886c7a5c8fbe45dd27cd14384", "4e608c77043f56b0abfb2760fb2fd2516b5412b0", "654d5579fa954887f69333de752eec78b11a73d8", "763d9eef06b454d722c88ffab8dfb9538a57c06b", "b8d15b12418569089c786e3754e169bc43001644", "df3a01b4a962e3657cf9126cbceaf14899852499", "476c00f8da4ef04477ca7398111841e2eccb6110", "932b157ea4e554af580124b5575097d47fb6a707", "e8d0cb340284ff7d97fb2d65556659a3e4bb0fa6", "3dbb2ca6942eb49538d92823fe22c7475e866ca1", "e994ae6b25c082a541cd68354ef4e4952420f705", "3ed22ecc6b3a4c89d07d59c21b7050a277e4e950", "bacaaa8e59baf853bdd0b3d5f8e3c352c9be8e98", "b717c61f6a1d7c65f4505b4aa1d199e851676c60", "0533987210ba1e35037d6e5295e288ae2421b36f", "842e42d30dc31de1833047c268f0a5cdff16f2ce", "d8029237cde893218d21ba551fd127d045ae3422", "9ca4581dc2b2be1781f46f94d6e597c934e55f87", "92bc5cfe5d0492c532e7d118a467104fc53bf487", "d0933550b75237c285c8bb2393185475014dbc2d", "363f973cbc1e46c6607b945f9ac96cb4a6262c28", "f984a9bb5c6e7b8a055b810bff468d7f8d80a7ff", "2ec393b4fa5739c54ac9f61e583f5e41cfb2687c", "606dcfcdcca767db34230c4798273565a1235320", "58abb5001087f51dd2e9ab17b9fb8fb3567988e8", "e29a71bbe4e999e7375a3e847cd2b86e5db4b7de", "6603e7de5b155c86407edc43099b46b974b7f0bb", "7d337edc28b85ecc07adfcfc08e14eb0508dfe74", "0da611ca979327840161df87564fd07299c268b5", "2baf54199b4b0047f3610ba691fb0a718dbce97e", "3130eb9bfab5e5a095ab989ba3cc6a2ec62c156d", "def897862020dd63498a5ade81141c65582695df", "2fda164863a06a92d3a910b96eef927269aeb730", "fcc6fe6007c322641796cb8792718641856a22a7", "f61ebeb87ed1897f85bb37419f67a589fc043055", "b259f57f41f4b3b5b7ca29c5acb6f42186bbcf23", "665403a0ff78a1d5b3b0c5adb66c271dfb663152", "e66b4aa85524f493dafde8c75176ac0afad5b79c", "9fb3707a0f90c6620251d202a972a2c626dce976", "0297448f3ed948e136bb06ceff10eccb34e5bb77", "78102141a1b78101515f93385e7b71a4aa1955c5", "ac9a0997267d7c46a396ec243a4903276d986b7b", "e59a68c328c69c294991f87b741a5d4e952defba", "fde5e4538967f325916c1f944242304466edb41d", "02b1a5d4b113211198e9c66d51153eb63ca680e2", "61764c068ad7d2ec988e6ec315d6ed2ed7489c2e", "dd49d67fbd69ec9bcd0bf3e8ec46c67404dc4591", "d951552faf169e62bfb362f44f471020faa2e6cc", "354dd9f05094d4f45a330e81d79c57941e968936", "479f44f9b4c401327a721550334b8d491f6b3f16", "d5d3c1b299e81b4ab96d052f8a37013305b731d9", "837792b672a3a4a06a22b2c26a8ecd3812fe8330", "28b6adbc5ef790413431cdb2f512432862778b3b", "46544182751970a7053bde08f34511667b28e346", "8bfb2803f624815c7454752da4136f0f3b9ec431", "0c302ac0101545e1942aa6c3e053c0185d948ff3", "853416c2a96ad46bdf3ef044f7a11e19d86fe073", "1992331f9e3e9158a2b91640b862dc77f9df0eac", "66e06455ca017f9de9a5c08979e997b643f46907", "df14ef329c575eac56e6429251a439fac8d67418", "46836605c2ef5f78796644da3d385f66825518ba", "c537a1b27cc3fbc06a62b6334f2953377736220c", "252f01e74cc32435da52a42229c8102a88698e3a", "82475afbd13452349777c73f68c771b23e15d830", "7be0f06e5c98a0b38edd255d7489c5bc66eb2eb6", "5e55d9dabe06ee6b4d4b31dfd3723f6016a6c937", "54eb104b9b59315a24038e366283c1034c30ff69", "641dfce99363f8f75b0e03f8578f6c413eb65591", "00763a20ee6a419ac157891570a6b4e81644ec21", "b9436b3db0f0eb9e5c98e036c7b503a9f63ac2b1", "0dd151d003ac9b7f3d6936ccdd5ff38fce76c29f", "026e3363b7f76b51cc711886597a44d5f1fd1de2", "6e5a9fe3937fddf09a5c2604a13b9692d30db176", "f0c3eca0114515db991a3b8febc33c6f3ce84f35", "cd32ea4eae50f60584fac6001d2af22a8c1d8648", "226a88038782ca4f3f00330f633a4d3d529f89d2", "e457ecb6ca9960c13e3c2c17fb4d79b20f879f67", "3a53f87690cfca49f1899360650658aeeb0a7056", "2ae1c0d4898cf7d5446039e639d95a7e27f4d957", "b881a0bb227052c6ac1f6f584b27ff05b778e937", "bda201e2a941def8572e8faa42c988eba3f6c990", "c4441d8cc5f84386ede4ca306bf3e17bd4983328", "b6408fdce06c5ffd8d7141fe872cd677336e80c9", "2c86443519b46c83073b17c6a98da0fe781a2730", "1fed938f55a713664c53d65a655181c9c3124c7a", "2d950a3e8c74efb08197bfcb9c64a6b111f6bcd9", "01b527641d1f23cddac932d9fe20b44ec39114a3", "90c80317fa68784a3fe4fc3136bb188895b09fa4", "c40bfdc874cf4f8d3931f21e3975054ce8a75513", "09109a5375d8e2ca752bedde17ba5acad1df61cb", "131c5a0367cc617c67e6e45586d7fd39b7408e3d", "73f1d09b56a23ad72da1373f062ae902547e2580", "0d936bc32ea524a15c1504ddb054d2006e2b12a6", "980d4a2aeb7e55406e6784340e846883b2f77021", "c2cb401f73ee13f35368127939c6db8654aa422a", "26c8cac8c6320bf49e2898e46bdf1504333fa257", "d99c1941131cfd2c5f4142458adb6b19a8293183", "d4f34bc1dbaa06bcaef01f182b78640afc15c058", "1c8b26d593bef51f2f56c64acaae65d8ee40b333", "06060fdd2f452fb512f92b289b54fe2ae2fc455d", "37f8449e776c9b8e3c121704590d24663001b3dd", "3b63c3aef835d9fbe4ff8b20e797340ebbf2ace8", "5e8e3d2a79537a6cd0c138545bce63ddafaa853c", "e6b7bab5839c991c30d7e7a6d1df1adb97d81775", "3807f0c1b7360f99fe2d30d2fd1722fbddd276b0", "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "a825364ada04007221577d305cbc42d413239f03", "4afaab229f78c7ae78d7ee7a51695e6d0fadc6c0", "58a09b1351ddb447e6abdede7233a4794d538155", "179cab3d5a800f846225117e708e8d7c49754828", "613239a6c0188a60c9fac6772572861112a385a9", "dfadde5a8b1b225884ae2d3a9a0cac74fe0c71b3", "a9b18f753bdcc8ed609fd763bf76cc20cbd754f2", "e2c38989fa080756292b5ca9d9f7de3f746590ea", "8dc40f8d9ea4de3c3d144d76b1a659a5b8f2cc32", "5377afc065327eabe7e469de691b58a3e49bb06d", "236d534834d31398ba2e207ab83945804fee3882", "976ca502622789fa2bd8a135e7a53cb999556909", "fdfff58f62ffe7ab76c2b2cc32ea20099d197194", "d9fab99e26c52eeee65ee80b29e75d2b4724320c", "bd76a71c6b1f414ada026ba82726024fbd58e9fe", "725b4d2ae7de22856200d1e4511e1d697d42b37b", "0b1de7ead4c3e75a2f164855fa5a9a5f7ba1c951", "d33f75bc05bcce1779fce534da86cb039d11ed26", "c1073b5ab19f6b02a74279ddee33c830f49849f7", "87ba8ea7cadd7965551c7fa7b7c0282d0d4d9773", "06d6015a19ef180cb11d9f32feb9e6adfa2799f5", "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "df350766b53d4db23790a0408b0d2c7a185cff74", "f1498ba94d64ee221e27b658bcd407c160cf0897", "73def276518d88b8f6ee4e578e861284473c36e4", "c14c86ef7e6d213b0f139b7ec66452ef01d52aca", "4135004c75a361c91311314fc588d229a7107526", "2af04f9bb4950afbde0060c347c0b4857ce8d3d6", "ffcd7ea65af89d1e1bcf004f39b642932b081255", "48103763fa317cf769e783966f02af9a18030765", "315ac7b1c160eb593b6ce80d46b4ae2bcab49e12", "a2cf2817e0ee69fc39a1d9bc1066f2f6fa66b40a", "6f7d4c572a33087c7ec64e40223d658fd48710d6", "86e71e8cb5bd15a6530cbe684be0775249665f3c", "3d8a4533197c9d765f08a177d147d30251f76b7f", "0cd98be65a1a645f3c9618d9920be3a3dfc77574", "2052bdb3713e818d0a6d1a5596526ddc28da64d4", "febe8057efcf51d189a1d85f1c32250dea6d13ee", "0599c0c33a99d6d261ed7e93a7f727ba8bfe0e0c", "922b80a8b504b990880058cfac1096f313df556b", "133b982a3c8f5ea44242f44fbd47f5e684664fc4", "7ba3fa3ee663487170f7eee19c82274d9fb78780", "ae0322119c8d70ba98f32aeb205393dad8dd287b", "d64bf1a202922067ead948629c4074314c78de8a", "41455b578f593d840f6a942cad0dd52212fec0fc", "d2a3ca86969d8fe99eabbf5a7943c125b603cdf1", "32c3dcf95da2e54d1635f06f5714c5099cc6034e", "91cd2360f964406d9ba9ce3ff1b99a9d5d9ce2a7", "187dc62f5dd88d32db9849bd364abffd1613be9b", "604de7e5ce863d10d6fa191a000ec4385ae8dd8e", "9476167d09f28d9bddffb9653130563ea9616150", "66316822e626b4af8ef2547f1ba3e7735c24a203", "aaf1d8237524ebe671b3e56f803747b7092dd1f8", "95e35ac9f097290e8637a8439ebb40bb9ba4eeed", "5523c9ed32d2e5acd09cccf4f0370f9dd3d9a6c4", "9d629ee73070e7c693ae6924aa52df129a127b33", "39a6b9c8d45aa3bf29aede1ba0d4060a4afb834a", "aef3bcb3b09f708edad335cfc0caf8ad208d4741", "a9cad1a4f13f77dad9d989c4f146b2176e4eceaf", "4966961b76fb5615ad3e8ed27c6a859ce08f23b1", "19991e05c949a1279bf6946a42975fab5cb871a8", "12d5589c1aa6ad1edfabdf8e2a26571ffa932206", "510af05a9fa7abadf5ae510c8edefbee04d1e4b1", "7cc2f74fe23b38dd91a805a991ccb017352d33b2", "2693b02dbd7cada420fb913a36b9a826ec2bba5f", "5b7c0f8ae03e23573049e71329a4ba4166d016c9", "24816e5cc4d6df4a4f8247788d13eea2381594b4", "4c60815ea05ff4b9f7301b28b8dd6017d64877bd", "cef336eac17173b8a5eaee0074bc95333c03e0d6", "4cbb370f0bb6af0052bad6855cf1d9776376ceb3", "0324567543cde9707f7b90292f569ef88fefb087", "c72796c511e2282e4088b0652a4cce0e2da4296c", "cbd1a47356d8dc1c46d569d55eb803945193f9b0", "773a3ef780cefd6f312f52569f2b28384705cfa3", "12677416c4ea3a07e738f34d1b60828ec32a8045", "a85007fe09e96e13cc30992ba19d71cae75634c6", "91027fd707aed714c9095551e3d63b3e18ee138b", "20c71ee8275969a7df881de69b8d8baf88f1d120", "847306581386c4731cca12d0b636b1b10d287369", "2d9afadb9a91e87a234fa1f495191f4c2b7b2067", "226394b10ef4d1fb1d88791f87a24aedfdb52c31", "9afe080ea6b9cc46f0e99cb283c265f3e6b73408", "1fd0871450a8f52a2419de0604f20b87c5f66e47", "760801ffae578d9f258957dfbe423119f7f81c6f", "222625b5ab6fcdd1e95b0b53105803ce63138567", "d0eab36a4c76da09d2393ff549c2d6de2106a4cb", "ddeec5c89d27acf8c122163b2cc1e55c6fd74336", "e73f076f66a5e4aa76c1b6d623a06cb88b599b85", "5f2669d0fce6223653ce0149f96833011a1d6bba", "4c81789b13b016afc5ef47591268533674c2a3f6", "1db8bfaf4e74b68f5501642a823e5b87dbc1fbfb", "b82ffd6f490a6ff33908ad3370bbe18330a8243b", "7de1d7b30ea40ee64e1053c5bbdc5142674683eb", "b6a2f098e1ee50e1627ed0a7c364996a0d67ec2a", "49822ae9a24ef9237a32c0b7eb60e12597777f75", "a315e5dda09b03a5dde929f00a3996d5a53bf695", "1c4f47cd1aaff689aafda8211db9c1732225b1bc", "6d3d975bd07cd18434a637ce22c65c641f1c31a2", "408814b17337ec901f5960069f5c447a36a42524", "ccf7b07a4631fed7fb5794d3506a84eeb3d228d7", "2551721b91069d8eff0816da87a29bb133de8351", "0fb7d5e228b604ae6136328271fac3d18c25312e", "8bb6d7803839de35eae479b2d04453062add9ef4", "8d6996b6c683df258ce5759e161fba79103a7c13", "19d189e88b8ad20c7b211f1fea5fadd87fab56e6", "24597f588ec766081fb263d32a04c602ca78db04", "b2026f7ba664e976afe8d83560d7538e47e9af5e", "e8a4e3b3af90c84ebd6c40ad759a80729a81230d", "50582050f26dd06311b7060c29bd73a40fd61c16", "18dd7bf12de78f8d9afa4d107ddbf814d5a8ad49", "ea847c12d907ffbf5216eb30778669709e0e433e", "d2bc2c3c933131c1e4b4fedd5e3db1734244b220", "5467fc08f86538c0a51ecbc09bde9cdba37341d0", "c35a44ccd3604e003034f6fdbdf8b1427b25b3ca", "50457c55b318dde8c9024851fdf7e5ce3a936f65", "ae2e46a10d6dd83883809aa5df766050f83aaa91", "493abaf881c3a6e9d3bf47a8d6e75abb4e75f557", "75a1406d26bc6faef8ffa3da00fdf6b7621b7754", "9c45ee00eede65dcce4098e15b7d005d9775c494", "246eb49fcd73e2dcd19cf3a76a06e4fd895a62a4", "d767c97af96461eac76fb897a0eec35804f0398d", "af283064e5af079a4a49a8641a2e4cc08e583a59", "47b0e2fde37b3d1810a5b5a19597765fd76c691e", "7b05abdb4a842106c1fe25019a5695982ac4b2e2", "6e2aef91d8a1457cfbea51f92bfc04956a289829", "91f1ec4ebfc6f538247de1cb2bb3b5217d34049f", "842ff5f014337c25a0919f5d8993dea8533d2cd9", "500ed54f2537e61a14e1141b40cba9373a25e51c", "bf2248b03eb586c2249996412b336ac44b597fbb", "970b0e6e29bbc7bafc0e6a387492538c71253304", "4e165914c800d5569fd22cd69ca2ca7d92ffe705", "b6aaef3be3e93a5429511011b3fcf1c768521efc", "3abbb484e93e87ae661a1a5c26990c61908398f7", "2eb28035531fea58f17b141e325fd1611939416e", "6cfec3c50622f3e5c80b3cc98744a05225f42066", "dba7cf91feff6bdf26e9a3940015fd0c0cdc6520", "9cb5563413dc00dfd24121939fbe27308f4ca031", "1dd26846e8b42e2da92b5977f8a6050f2f92f388", "c8ddeeea803e50cab2d82f6d3c7f9e08b5f51f4b", "90a545980b3bb2f001298fe5091847c9738be8a0", "a95436fd5888b81441daad9d3194bca7a9568efe", "7397a8ab5cdfed63171d248f664eda919a9b51f4", "430147c2032add4793d3444ef77020cd2420773a", "8dbb08fdd8827383ce74dde937b74cf21b687cbb", "1c3ca2dc3bbdcdda1abd78d40dcc2e6945118e60", "8e7886d42fac00d0b2ab3b0ea7bbb449dcc6b690", "08ceef43c7b333b4417bf1d863c674a6ce5c5ff8", "e3c65a08fc12183a57a04953b6fc3d5e447c9a47", "f0e609a2e11a093273c0d8e3321e7b20eaca46e9", "7b28725e63a038f5eb4f25c69ecd3e745d382c37", "bac748bf117cb5b06037413de92378b76ff358d0", "f1d3e9335b4fe5c514c7ecd9e0d9bf3c864454ff", "aeab405df790f12470f232fe475f7412ef324655", "ad8b8eb07491b3e771e873703bac23568f134bad", "1295b038ac6903b0ad2cee280bc8ebbf4590e943", "3687612a7f6a3149e2f47b67a6b9fcb516585694", "ce6d34010f04afa4cf3018f51bad8f480ebc759c", "c33b61e4c4cae519fc65319ec0305e1b10d17219", "0f0fb26d8999fecc362c0bf65a62c809061c5508", "82fc08f5658e0e37aeb36177717621605e11cda1", "e39fc6ff1145924c7987ca07c1f2df80577f0646", "11e79b96cc87794592c0aa8f573d440a70a9a941", "5db584b00dc31ba387585b6e01c3bec057761b97", "dacb596193e91f8738769f8f4a637dcd78c4255c", "ade32e04dceeaed72c3e99a9f3698b2fe01c9863", "ef88a02f9b624fe34f4b20ac7beb9ca4f44afe83", "595ff304aac871abcccaffec7c1d33c3800ddf36", "37832573b77b87f6ea0e6ecb52a8b3e6c4e05728", "57301bbb63505d2eb402dbfd4fda164b820692c9", "4fc3bff4afb46a0bd62d151563711891ad7a7b58", "78331c884611987cf62a2104d52dd3ca9efab88d", "3aec4e2f04ae7b1d61bee6c98c4e01f6964cc322", "86163c4270fa1173640e7b1f526ffdb482f45f17", "b9b5866e4df383a7fbb780e8f822b905e3fbef6d", "041c7875af1e3eb0102d06fbac44e0c1591daffa", "754ffd18b106e6ef3644e3670faf28d798b841cd", "dc4b239e76bdc6fb2aba4cc352f0ff5d2892367e", "a7887d32c86cda13872c5408713b21a27d0fc17a", "ccd126c1337d29e3bd366579549fa4dc04443fed", "ed510cce08500d8b3df23325ce122c76f3ddc11e", "34c8b940dcc94b23269e8eb5f0c4abeefc50ded2", "475e21ba0524ffeae04fc7390abc6f24ff1afd1b", "6dc8180b32848aa92e30dfbeb1cd28dd654a761a", "2b0a6aea501a8a29b5a6b757e89a8ea502e654cd", "9bda5f8659b3834369cbc52fe8f852c6bfd2eaf8", "1a873f5df77115471cfca5ef83e30a7a470ce0b9", "3e5ba104e9fce5d57751d4314cf32118398d1f22", "fe51fd153fa6dac3b7c50fe79e71123af5c5f43c", "0aa9b44756774085683d96ee98be2fe512361a94", "8ddc725db47560b2bda227226dd792f30abf9dac", "5b85073fda9df623077465dda6920176fdc34c3e", "9d7a3a47fe012fd78aa0291a672276affd0c6e67", "3bc2630ff97cd08a645ee8a08f7a48a260d2db5c", "980cf8e3b59dd0923f7e7cf66d2bec4102d7035f", "8aa41170a9591ff2e5e56ed218d955a4222101b8", "476cfbea95a21a333cb4f46a698fd8b1e9fac7cf", "070c4ef4b278efbfec743e4a578efcdb0aa9c85d", "163bcc83da66e29e764c762708e75e0df6a320ec", "a75d8fdd48512ff91b393dab07cd0a4f7bf47b65", "78a85785150b2b80eca826ba9afc05005184a7c3", "bb0f339103317259c76c9a480067afea0273e056", "8152c2edf74676675552a91c9d5b115c349598b1", "852998c60e4a62d0508de11b6297e6e97a0d3fac", "346d274167bf96389794646056b95785b78bf596", "474d9967b69f9afd5404686f16c8f53c1951526b", "8ac6d03bb57fa94967a33e54ea0fc10775a80be7", "1c40cb899fccbe98a2bb63088e02d6c59e87c187", "2c1cd58790cf07d5fa7f1f1f096023a993a6ead3", "0ae12653bf39dd07c5c6f825daea33845cdb6d2c", "84ca27f04b83da90a8e3020ef17316032e22f45e", "bd86306ccb6698e17f00f208cf4fbc7a0aae39a9", "ad9dd9d6a357059a7c9902f1dcb2842c90f32a33", "5d5bf8433aba574fcec7b4f8775909d11677b951", "037e6eba6b7fd0a0ef6919295b03c2fa8bea41d1", "2aca60ee8a43d88be24ab9dad373dd555fd080a7", "8beba00174b9db3d45dd46d9cbd76f64ceec550e", "86519cfb71135dd15eb6be3769052ef11e5ab257", "ff6243766e7e53e032bf9cee564b647307f2df44", "f676cdb17ccd5b65f44ce67677d8646b48d8939e", "a67e66e437331cf7dbb02d2a7296e9c32dba67d5", "a6fc29d0a2b1eedd82b2cd55e2d271ec49054c1e", "9ea1623c3f8a744f70d75fa29b8b00bb5ed13f2a", "9f96b12427e65eb00ca6cacd9839f21892ee55d9", "50b05b2491d5a5dbc2aa958c3f592969e4f694c4", "642e271c72d0cc7426deb3f0199b2b71140e4b24", "b911aeae42ee6bd56ac52e656c1f85186c3a974d", "4dff517b1578dec9155936f29aa9e8ca174e0804", "3acc07f7f8951617276cf99483ed02aeb0a6eeac", "c77bf2471d578707114d50d3e426df9aed70d1f0", "f3084731f770a2cda8350edef38d975bebf2ce35", "aa5ca83bfa1f3b433376b63c42d567ddd3370811", "e9c8594ce3b8c555df59ff32b1a71eb62722b38c", "ace8bf0f5d218cc6fd08e5a224f320e2244bd771", "fc5281e0e9da3b3acbca127b141d5ee92b3bb641", "b5d1a7bc9f89ba9e8d99f6b151f83a4ff9220bb9", "2b2cd0580a741d76dd80ad4b7195f6ae24dd0dab", "399e1b0b84d6b5199646892e8bddb9e4d7f45362", "17dc9ca88bb8f36d167af1fe672278c8edd09713", "77f1c87d8ad030be67666028065dfa4a109e0ed6", "ac43a881c0ab8af00ccfca7cb7558c7f816ded1a", "c10223c113b0bd181d957180f897633abfdc023f", "112b31e53037c5a17434524abc3ddbd1e05c168d", "1d22fa7f7ebc6cd8432748644f4a11930ffdfaf9", "1ba8acf75d84bccc14590251353b369cdd3bd500", "2e380f51c160ca81e21fcc5ebfab11e9d223c844", "7cc61d5645bbb96eb0cbe65d7559f983c13b4740", "d4030e1d9a68bc82e71b012edf965d9e355aea3c", "9eea052864e3f034b5f4b744fccedb90e18aa284", "603ffcfad879aaf559cac118894cd38666158f2f", "5df4b92f86698a8270f9fba73b87c9b97e0d1016", "fe5cfc9136f2156314ca20b19095b30704ca1117", "21160be824d97e66fcd7d55ed502b36d3e691c1f", "0367d76a6651613b5663d60900061cd090c1b78f", "1a3452c93f876f05ccc6f6735b16628dfeab7ed9", "bdc01c545a97127ebce9595fd92cc8fbbad1757d", "6dde7e3496954b55072432b71df279720c6ec8ef", "e06bbf346e2daf2413aced8200319018abea61dd", "b2ad921a42b68c88e02535204495ffa3ccb8eee5", "3901c04f0dc8a01243789d2ed00ffadbb2c6423d", "d7184f6cd7751fb8398bb06d04490d2bcb74cdff", "dcb32b8bdc9174bc24c74ebe49fba54c46acdaea", "8f202da799b15a80cc46919b4eaa0c67b088751d", "6323db5f1281376029714b51f876d58dd4abd4d0", "3a23e02ef7855544bf8f38274d2b523fff03e6eb", "831a87c47f9f46eb9734b9ca0ad076e666d76e88", "ec196dbede1772541bb9df2efeda655d377b291e", "99081a318ea8b552954e41ca7203dcf91fe2b018", "9697f045fc09f953db34454856c68746e2a9b85c", "2ce1b73cee6ddf4dbff391e29b73b35e3fb67685", "e4b5eef259a4315889997be830197e269c4ed67a", "a12949e11458a4c9433789940afe51411c18cdd8", "5fbc907ad8e765a00c26198ec954861d8c1f1bac", "7c2f2080473d25db73c53869337afb79d2135731", "7be7c9dd3c2c116adfe7bee55544bc7874c16a5b", "eaec5677f6bebba24ab2a0f08f82bcf374a0c3a2", "690135c90da14e451226b3a949fdeca32f4d5d5d", "22aa73243e6176e7a64f771710a0dcdd5dd141f2", "bf513a484bb1ba20185eb677b38e58cd12d03b79", "c3c7878da83e0249b6d7def5c0c042b2b144cf50", "b95abc092817c5ff8a84e8cc59053c4108e0176a", "7242738691c7cb7877dc364337cbf0394704e389", "a6aed23dd9b6cde15f026b1c0d3f868093a6e15a", "dfcae2db863381ea8047f78f65b25146e696115a", "2fdd82708a99cec2bcd45c2c7f337a9beccced04", "fa4544e5dce135c3d0517304ec9e620c78267891", "bc9cb21ed76e1852075cbee21cdf6471df288798", "1231e9ea7fe18e8d6cc7fd0b0285c3644b5e9bed", "bb77e65f70707fd36c247277ab0d71db83f83e33", "841c16f0e724fca3209a7a83fae94bec1eaae01c", "a1839ec451e9480a82585e59c2bb2465a480749b", "87ad56e06d48fa9b30e2915473c488c1b4b7e6ae", "9ed34ce4c6ca510a6027ae9eefc5dd0d9e0b876d", "1b6918015d0784135090fa0f0dd28a3a617fd8e6", "c133b741c81a5c3edc013851a04a5f92570017e2", "4fcb4872eedd92f866a665f2fac4efb3ad5735a8", "41edd975efbbc5af28971bc2669d9a1ae6ee8ace", "5b40475ee5a67a758f665957b019dc8a1fc027b4", "182df40034d937c74df0edb0acb295088e63f1ed", "ab2d1f43b4458856b71462faf3bf4e3613cb9a72", "68111cbb1441bbeaa6303c2a3c36895fec5e8ab9", "49944c8d3f202e96252eeb69c9f7b62ae0b70789", "070436dee4881edf2fc3c1d440364c0effc79c8f", "b7862fa0997201f82becf03bf8ad852692ceaa2b", "7f7452beabc21143e0e48a85da7d8d421abbfe86", "e0ad3408ed47261a9d0fbc2f037b395fb41b88bf", "994853babfbfb9edd78f2745b9f96efdb4b3ec74", "1c60a13e3d48c5425b08a775d40e0d92c9c581f8", "e8b6d398f6d5e31845b11257e2177e2b94b0ad52", "c3b03a0a9a76eff3859afd7b945912a447c88735", "7dbdaada9efe96b304e8594ff610559958d5661b", "e9891ca60aa39df5819e5c417a6f00d56335ffb9", "dc71d6c56aae3ec9f13ca0e7be745ea6c23a6d19", "72d2859df6813fe37544ec2eb81a5255c0e2c4cc", "24d02ab862e878a6e37bd38ef7704b2e60d32974", "9f2328931be1cf81a9ea14b35f3373b6122f0714", "fa0b17a01fe6cb0070529460f1ac511b308af103", "a5d77dd6ed07bd9688d13eac9d7848d19fdfb39b", "5c892db3c3959fbe6ab488df93c86d97d704f837", "5acc0330e82090502bed6fcbc18112e7ed43ece8", "401918cb0bfc23b900594fd94a57182a5b4f530a", "1db316f850ccd3600ce3526da4a611f8078ec33c", "580a39100e0d1466c914915a2a30ec0a57a94bcc", "1d29d5b91bcf501179cc57fc3c3e2e4e42bf168c", "fdf9c636f79f146f116bbca392dcad3b535cecb2", "0bc8849275aec0559b45afd2490f8e42f1502742", "7fb8ac1f06c894f61299e341ea556dee9da77a38", "273d6c307cae64e3f3813a1a70299205f519e8a7", "dba7817a9bd4893058e83c29581cb77a12f122a9", "33bd2951b7fca4965d9dbc2c8f97f5b0fdc7af93", "ec1d02288d38fa65541d71dc26be28be64415efa", "00cad8009b739be733b56a90495510f275bdc983", "426bef506eaecb8e18a81888c61131cfee6ebdb4", "9c03b3c1fe9ece847bce9a051dd094aaa6dcf4c1", "d9bb41ec9d8742eb77ce38e4bfdc9b8371f275cf", "714bf3e76b5469c8357d1b68ab58e9622a92ca6b", "27326ae43ec7a6a31ecd257171b8a338053946cd", "d408e80d0c5db9fa856a02d42657959a530174fd", "88b67e35eaa639fe1e21f8a4e0f0614f37317675", "24727e1b401752c5914fba5c935268e284c9f55f", "64f0ab3f2c141779fa8769ea192bd40b0a9529c7", "ef2c56cc84f4392d537af740abbfc371d015ef03", "00cc019886dbd3fa51a9cf31e2921f63bdbd18d7", "719fd645c4da6575ab0e774891ba30d7dfcc53aa", "856c6822980e0b768f071b1bc614a8c981aca2cd", "ba2aa291c1e123c61b2b11f26a6aa2351f6466fd", "1252b27c42bf095f1eccba2aee3765dab49647e3", "ecab74350042a494110ee2f452bb96a89bc146f6", "6ddb65ce430f8db2eb66b0a98ed8981049b3f520", "dc6a62ddb047bfd1658163b09757f8b3762deeae", "735d1d59ff8e01d51665fae8dacc9117ba28759c", "03348371f02301528ef7ced9879dcf341de86bda", "c12ee7293bbfa51def56456928eb82a73a1da1d1", "338d0087fbd3bb768e637b4538e6581220387fff", "378eb402cda5928e43644a8859be255cb3ee69dc", "da1b5f54641ac9a8a154e006eb4a06de55a71179", "29bd9cdcb6f3c8c7475df5918c0d87283ffa254f", "fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c", "d91576dc1bb96636edfead160932f4a9d1a43dc4", "83518f2075996b980d412cf64d833ae58cc8c0e4", "167895bdf0f1ef88acc962e7a6f255ab92769485", "76ff32b56b528ab83ef5310408e1d8e1ad3ddb8e", "713f7659eba67f12c0a3ce44518a11d9b748e225", "983bbc2ca8b7c77c480be8ea7cb00c4a7a0b7e7b", "007e64dce82512b65746536e5c29c57b1b77758d", "832ebccfecac5728d5c556a8398a0756ae242549", "444d165af18f474a2d0e56e981195374c3f304bf", "ef1d48feca1b4589e4dfa607e06e23f84d09d967", "6cd0cacd022b6c9ea0d2f339574e512b862bef2c", "8681f43d3e28bbdcc0c36e2d5afc6e1b192e735d", "afd806f33fe0bda3694d4a7039cbfe90fc71cacf", "b8874d79257a1968a7f7ff89d25d6408ec5c48bf", "e28c6b37d1fdd7f1721f251181de6fa53e578d95", "b3e1e5718bb2313fb888255d63e9f6ad0a2dbdd6", "e36e8e1fb9abec16f0430bf69070bb318197d3d6", "0511fe7e05e7871255ee2f8472c504e7459c324f", "70f6c967d01636a5e166f03fc9584311cc66669a", "09876610d463a2b40839e701d4ae8b7c7739e11c", "444d59c7a37db543bc23443acfc33b364d6df144", "10ef80d27640c2da1012b5a40d672832ecb5f333", "0eef84d70b0eff55fd356751daaf2ace169fa653", "50c1ab22f442470efbe3198f0b338fb699416bc5", "4287fca41f650f9a953a976136d0f9d271ac5c37", "955aa950f57cde6dcdd8d70476288f8407762d4c", "a7c88a4b6d575c64147a9eb2c79a57a9b3b54062", "f2408272222111da46bf175f6dfff6fe90104a9c", "41b1d0a7bdf1753288e144e9df8205600382658b", "242aebeac907a2fd575440140ef7c8b8bce29202", "481e0cb49c1c0340c8a4d9eb31859e3ccf04772a", "a64de6d29a88580d433f8c92c7335a654382de24", "38fe30323a12b211fe28e91babb8a946308fdc5a", "c8f129266f09add156935c4dde2ef7e6e55e9d52", "d6ab1fd03ab0726a731245f9f29463c40c6c7383", "2e2579dfaeb8906e4219271be8c7d54102eb7228", "cafe515943a1f502ac6f57e957c2a2044bf7937c", "e11bed7488ff6d889a0181c682be8a9b57101716", "513b11920f15a55ff4e3dd1a063c386b863d6679", "24da352e8f9c463106237b169b96f9472feea1f4", "dac2e7adbd69ae35009e143853765b36a1adb07c", "06b5aa440151a1c290d3840b6b533baec6b15439", "36c71258d64f9255cfe0a703545b44b25ee0bea5", "bbbc815f6329798fcc72c6c620499eb0d1bda073", "fde2d6d7ec8945a0348497dbddef033b8a7f6839", "bfcba38d563a4a75f69f892a9638f464049723b9", "19eaad7f48669d9e316b781183c5c07f0d867b02", "56f591b13087b8846c63b5a13e7eada93e25f16f", "83686b88e989bc6c9b66302e16546bde23ee34da", "77895618194b153577c0931335b73ff35e9759fc", "a77e462997e903fec8d831af11b7f61b209c27a6", "e90e01ee452d1184c65713ce84c468092dfb080e", "2402322ba48ab839017eef2e2bc6f7c1fa381011", "98f64ad55b00d417698c1fda2c9dbea5a91a56e4", "a1c7568f4757ecb25831e7528316e13731d819fc", "430e0b4577b7b2a82461241bb509b6830139b924", "abb217936f3cd357ccde4896bcc5d721972549b4", "3a962138ede25d81a6d5aa42aa1abba649481f10", "2ef005a135496cdc2029345f1ae00f809cc6082a", "0ab14fa46549259b7103b2f943de6c6ac44cef4a", "743bbf46557ec767f389c1ec5ac901ef64ffab37", "378e36386f8a19efe1a7852bb063f0378005a36b", "ace9ee37899da2172383dcc1b925efc345da0ada", "66129fbd2415a74c8b1063cf84ea5931b634d2a7", "a8d4b0fae3449e6ecde5d3589ae78c72b1072e38", "5bf1ad77389d78faf269391416e60e8d747bbc34", "10773068ad7bd63bb7e92df01499c29928ca122e", "a2c820abef6b656479d21c1c4749ac80057a0ef8", "ce4b47aa8ef7bb67157881a5f79f0a62b691c660", "8dbe2075aa92c231fdf89804390df15a480712ef", "0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595", "5c80383fad1f36ff5292817475af1b89327f08ba", "d97c4da8cbc6b3c5de06eb457acfdf5c7241a522", "6cbb82293c96dc37e0147857bbf3a8916adf1e41", "04c49b649b8f4336c1f38f69b8381249c81fbf0d", "9a7c4412169580452078e4a7ede7c45f9047d4ef", "ea924c634d6079ad0bfad08c2e916445f9944425", "50e6130232e496c13c90058207ede84fb3a2ebe5", "539b66c91f41719ef94f50e6d42ab470f2a2702c", "1611ec5db77d20637f2881121a0457234aacde33", "9409753efbdbf82e1c01a717ff98aa5d4c6d980d", "5ffd5fcd875120e2f6baf9b8ae95941e942aa5bb", "8672c684d241a1cdec43dd187854af6a893e7b57", "75d86b9a537ab9f337ca38c22ed0d2ace9d1a34d", "8c2c4e3db2de3305b1d25368695c258fea6a6076", "8a9681ab446bce92f01fd5636d0a1cbe23dc8a88", "17ecd1a68ee571c47a571c9236b8ac299046ec02", "286adff6eff2f53e84fe5b4d4eb25837b46cae23", "0662baff581198245aa5bafed3109d03068e2be0", "e58b4a2e3990ef8c8bc0c5506f93a2bd04bd6079", "25c57d1916c926bea3d92548f1c9836cffc23fe5", "a34c195aaf97c227a6901d786c19085872cd50bd", "da141e57fb9e20bc0eb90d9cf57b6fc4d873474c", "b15b11002ef3c30c101d8096d391d686e583caf1", "a7531c0a3d6dba42425b890a299a96e4693465ec", "5775c9f48566d239a2062e7f5e1cd70ae760221d", "1cd66a9d9158f65f9e099141189d9a00fb82b525", "8beb24ebe38e5f7e94743e0a9896d1a0bae707ab", "f1f3c3e240281611db415fe3507789430bd848c1", "3a9f8921a96745a958454fb27bcf1faa4a394ea2", "f705ce0ce4ad30d20808ef9709abb5c66c3ca39b", "0d6017c54d1f08d60d1423a3b84b01c387276387", "5ad4b2d6c8253aeb8fc4ad39bcb459a1f2ca10e6", "b92182c0efd46df91ae8972b0d905213df29810c", "9ce5da326d971e1dbda7bfb6bd8a7b92e95a5b72", "5520fdb531a27bebe7df8062dd5450344dea107c", "0624406fc381e6810004b1d2aa40e447e6f11a73", "360f97f6cdbbac3912e2a531c7a9c1542d7ad9eb", "0f5a6f93c0ad936534d9283ee12362ae1cea5676", "06a63e4c01afb6baaf6d25e481f75d13b84fa13c", "b213fd648f4af2934e76884cf5ac4531e676f7cd", "4f456675b4dd1711285aa488af232c5a5099e85f", "06928aef986877d04e9ce642a3ac71b6f061c638", "9cea82a817afd26e32a0ab858ca492023f22b103", "9eef5dd3e69f74049530cafd473b49db07e311ae", "3f221547a4382a26208c5e76366a3cbcdfe6d90e", "9ed56cf584eb66bdf576fcc58e84fecb2f51f547", "89f108814e97bb63030b4711d46413bfe39197b3", "fe9666d9618c043c31ec8b63f65c67fcaac59688", "4906d54807947dcdbf2da174fd0cd716ea195006", "8a946eb35a96ac65a1230a2798fa2f360a7e47e7", "f38cedfd93f421058682c30635a64fc0a2498192", "377513421f9470f34c77bf64dc2c798eb50143d0", "5acfacbe8bf93ab1ee17bd6f65667abe0d6e1b5e", "4b33c7446775ebd76c3f3c7bc8b6c79ce585aacc", "7195a7ae1f44cbca46e1b705bc3a8e91bfd780bd", "9294bba3ea887a16ce6332cedf40eb389b8aeb73", "5c6bb6bf7f3f267cc96a0a00752f914331f10a89", "2aa531b4aaf005db13ff93cc1bea7602d7fe2efb", "5bf2132de8be99547af4aee6013fec8226c763b5", "de85e5abc5d97092d879c48eef3d2d2b0c45eb9d", "96d116795b9d719c3b1a6d70b906c251fb4bfe09", "37b44827e806adbb579cb566cdd4e5913d3d0f74", "c55e8b90aa84e7d2735926f776ca491c5bf854ca", "c326f216fb2f21a360fe65592cb767ac24abf83a", "b272f86cc47024b1deaaa29e242ecd5138006199", "5b92fab33efb943503bada94735659e01f797737", "106034dcb2619b7f5db9fc039535a4f2dfbeba45", "96c12de46cff51ee368a3b4f5c8ba1784c628197", "8deafdefcc338264ad8ae3657d5246f056370552", "a22691f5f44862fc8ccf6581c5a0f40b97535c2b", "7a8ac613f2cadc6ae6ae62ba7e68b474721671e2", "df3178e77fa6655bbcae65c00b732ef240d99fa5", "b9770484cfb2d7c7b1792b766b04703ecce0032a", "46ed9623dae7b237b15f0c19d11664b979499302", "9fcb23adc3e0b2e0e81df0ed30abbdef0c3bb16d", "f8e61a313cd442451c46333951f92801f02f9360", "e0b37160c307ae9da9e35680ba45739a26659304", "dabde7204e23d0ddd96805ae66b7730ab0808f28", "3e1254d98dd63c7b19c8bc51c9c53ff24a4ed51e", "f900538a682788fce19bd90277e9355db406e38b", "8dc198bcd54ab73936711165a52c6ecc842edc90", "6ad42add5596183870ab8e13e46801e265e7e65f", "5c3002f5ed3dd441b5ba73ac68b1b5cc1dfdcb27", "be15ea7d7caa1468afba5a7dc63965e2eb54ec08", "184f8b223387082c7fd002932f2e880ae3d9dfa9", "6549acea73c2efd8c5bb5afc3a5779e8d6336a2f", "3340a809c53edefd161f3c27448c7e383c15cdad", "565626b628a290bad2c316f10f637831deffa19c", "9aba0dd0a960cc7429a8f8811e7cdb5389ab92d7", "25811285a1c1fd514b315d6a05adc2cb4abe9618", "6c1db70ac2d6fa130e627ccc5aeb17986979b9ba", "15ff6356e3552b4dd7bd6bdd65090d988a7ce61f", "c46d44143d1e0cbab34f120d65c3a869101c7622", "ac7031769c08423774ae4346f7492f6814176268", "52073f263ed8bef4792c68e3eb74f5f1d21810ee", "a145002396e7e119808ebfcf66ce215cd331552a", "2bb78d1b137e6374808542a7193270a9e7524724", "2e80ce889fa47bae8583f89d501a41e283c1551b", "97ed2639ee5cbde21caefe5e7f54694d7c7e9b44", "7cb5a4b88235250424e4b7450e22140dac9ba535", "ef7039febee4a8dee83d2fcb58696bd276f923de", "7e7430b5b6ffc470284b8fa94840797610d450ad", "cab65f07bb7edd5fa86612715ddd95d48fb1dbbc", "9e60e13dad167897bc61b3c52e723e515a3bc1ac", "921f217ec696d233132e28d5a55ce76acca49382", "4dd995d1ce2b0865cb1d8f27b0d8f667a3586c44", "93ac4d0824ab1824f9a508426860876cfb198863", "66ec00ca1fea6a4aa31358675fb653dc49165572", "bb288a5c653659411f95ef5db8e1ad652e0a8173", "e7def979f3f32399e880805d89bcfabd88eaa33a", "167efded92139b274b4ddf88aff92598e29cbb44", "bc9024e573c6fa30b622286c7d7f460e4eb6a693", "2962f226b658b13c358695bcd1f403133afa19ed", "86585bd7288f41a28eeda883a35be6442224110a", "1d6e0399ccf832585dcb3541f1b3ca8358f0c462", "e660453693aac196335f2ea31a3dead580acadb2", "7f8798204ad34d904f9465ce9e97050d0472dbf8", "7df082cd1bce65f6060825bc14289570bf73c4fd", "3ecdb65de4147d42c8227b6b7a70b47d91485b5e", "23a8dc98eb38039f032d77a209751b25d3106c4b", "37191adce691000583f4ec7d805323514268f8dc", "0f11d0d773544ea0d6585aeedb839e8cd8124d9e", "3499d11df11cbb35036f481231b618e41dbc2e9c", "de7bbb79384f81d0b3d28aa6531273ce240553c3", "ff73ac3b732ab85a38a907bf332c4d29dd203aae", "7bbf17225773aa811e015479ced7de72063c3839", "a40f614499dab76b477ca5bbb4614d6f1a5c8b4b", "2fe3161791693903f98c89429b275eaaf020e0d0", "a23a06394fcf366149eab6e71ebe3fe793284961", "3dfb4545704315a09039daa5374fd07365b02621", "8a158fb9380a6666b922bc7a00121b6bf4a5ab0b", "a248805c5d9a5626dbd4f58906b35d991e2aec4b", "728f656a4e8525112618badc15b2cf04669f3bc0", "5c23469cb8d6f8fa9d759f54070726101e22b161", "c62e4ef5b459827a13cc1f7015dbf33ea7677e06", "ef73e91b47c0043febed130896f610982fb89976", "3b4bee3fc38c9e36fec1ff45acb143c6cf9e64d1", "04964e2697778dc843671c7764f0f912e46991ca", "c190f285b60416e32dc53fabe896456d20b7acb1", "06feba1ffd596b41884cea6e8ef0da89b6dd2233", "1ac4951dac6f7e19148a7d66ec26d1c3f4ccb0c1", "162025eda333e4e927185a52bf9bd9c0c588919f", "533d5e62a983325cdbd44010018696ece433ea67", "d38559f22b91f63ec8a70190b6b7e04cc1e95d77", "6ca6ae194577004c869b2d5bcc7ed735dd2dccda", "7dbc14895390babea6f283fb9153bae94eab727f", "43554eb750bcce4b0b5e78efce2a071616c2f24a", "e6fa9d4658610e699c71ac281762abf471983430", "3ddb88f9294e962dfd9c99c5864b2b8690b56d90", "5acd67f9102db0bed8c8465a0ea0e85efe89bcec", "bcc4749456781335b0f94e54a76c29e303b3665f", "432585e8fa1893a03fbc4f1a9ab7e35c6275f073", "7a8ffddbceb14a5b5fb5fc52c47a4db366e47f80", "3de5550bcca62e0dd8520474ece51731f46b101f", "c2343501e55742a4edd367118b9045993ff96e27", "80e85e3291e39368c7cf17b2e13c7a1769c0a612", "de49836bfbe2c4e42147afa1d6ec4d89b09bbb83", "e4660f26d3d752349ec72c1f7ad6d14b13ab95c9", "3c709c648f40158af31199aeb0733890ddf2bc58", "d737b6f014301182e05738eac94fb97ff6a65da0", "5cfc1a29243aa3811f67c05cb77e73cf429a47e8", "521f688f1fadaaff81269040f13270e8ec1a14d4", "08a4b46fe7dea6fa3e1e73f51222325eb3f5fad2", "c868ccc443bcc9866f610883bf5a0f63079f89fc", "01f74b8fc05a44e479cfedf669753cce0e1da2ed", "4555cee0e8d34cce2498f547c0631955318da952", "3aabf747de0a0b4953cb594ddd17ed82fced1ff9", "61aa4d62657bd2036daa92012ba1557fa61be632", "808b03e28bb45bd446ee7e82f767e48db354fefd", "0d8cc3604f35dd5d00235c144e06dc91c489e11c", "4a333658f27d620f6f37dc54868cea8dabb574e7", "2bcfce1e68e9adb5f1547307e66a7b23c16d319a", "8d44861cfcb5159e0a1afb9d50f3d2c6083f605a", "ec49f49e518925782e64dae47fc5dd6f768b650a", "0cff00748f016e4689e713e258ef14720df86682", "0f3391e2229b9a3c19806ee2bbf5cca868a4f21e", "ca1accedbc1c698c03e9835d9f960c40e9d3ef51", "667f297e630c0073e692d232c4a6cb00d226e278", "bb0ae3c0bffb07e5980e48e35fe24b71a13855e0", "09d954e980133014cb4dfe3f6b1444edaa099c97", "d51e4b2425c07cd26813b3af646762ff45682ef9", "0329b7a1694b53d845242cf1e923864742d815f6", "3a0969900b363a7c52a5995d894d45dd6c6c01b4", "2b212a9416027dc63273f9e29d93230d837abacf", "27962faaafbf01092da03130550a70e097e1dd9f", "ff1b253636c878f5b464a7623f36242327e6b485", "61f83a5825a6b7cd3da653f77a8feb7146dbb1fd", "d8cbb5872300f79806acba6cfcbc7225800f1041", "f8b61a8783ee8f10b5a62b484107b3d2bfd059a6", "1429ed6d33341df1670db45356b5374a2fe8a636", "ef218ea1129e71bfdf1fc80b01d1dc89d76e0aed", "928afce3c0b251601ad9e0a77a6540bead4de8ad", "21948cad3c7659807e4243944b97ec0fd5428fe0", "c5484a227f52e73481fdc453d74bd76675b8c943", "e4075f168bf5fa596ce07cd174cc553bd6fac627", "639aaf68a0dee9bdd2b65b582a42a79ffa5e4875", "d331099a0e527bfe5f74c74d13c65b45fabcf88e", "cdbe13daf4a0421dcdd306ef34dc09c1168f800e", "966541dca2aa4fe5ddd1a371a1c999073fa0d737", "5bca2c751526665469e9e405d6143d13e7472f7d", "cd827a9dbf82240cb711f049989decada01c8ac7", "de287480b9ab8dfab1c49e24e5517b0a3c55203b", "db3814e155e77cefaa71016b0e5ebdc6be34a925", "c5868f6552e75fa747f9f70539d1b7736a5b076f", "7dcd927b3651d9230f074d19a9b65d1c96fc4604", "b4fe210e55fd844ebef2b87a5704ccf0ecf37782", "70d0aeaaed41048f5b67c676a6a4027e889263f5", "02c777b3683abcea10f6cd4e7aba1501bfe23f9b", "d92fb4fed35d85cb4d5ebe385a611f64340a62e9", "753383995df41c5d1e64785b5164035fb4edd912", "9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9", "2fdbd2cdb5b028e77b7640150496ae13eab05f30", "f7ecc9df67e9d33543c68fb150270e9f7af8814a", "8835e24ff3840f123a8fcc846a507617cacf7c01", "43e77b5157b0fa0f365808e26af287c3164e002f", "f15e07af45079733c1e1ac96ce158c636ad450d0", "e4d4f9e2c27575e32f010fd93067cb26c9d315ae", "09032b7d57484ae98111f461673b860b1fbe3314", "a84eb23638faaabf7f156c080894802385957f25", "298f1bffed274e890e0a09b38cfca42020fd1462", "1e1ab5643d4011695cdba52b7d49908ea6cc67a3", "22355c1b0a8af6b9e1cc2ef3fd5dce08edc48dd5", "04cf5b67fa4623512843acfb9f0066e5c11b8887", "93a6f0f562b6bd4cf71829612c1af2feb160dedc", "13b7b973458e12413ccf3df7174bcc56d1a9b070", "0933514e0c28a1b2f7305a944bc9c70718da2448", "d7b850537ccf33cabc2f0b231553aad79ad43aa8", "df06d165b107318e270e59f15fdfe7792a49baaa", "53bed46ade7d09af5301a730ac147d3d25329f4e", "fbc0e33bed3bba7eff9bed2c31f33da793120929", "2f62e445470e453cc79d1997173aac45375a1358", "708355d319a88485fdbbea3524104982b8cf37c2", "3ba79761192aa4bddd3342db03aa8187516c0fab", "d88d43504f2be7e26ab1ec731dfc8af6e407aa59", "d9bb75374f8ae582b42ee47c383b31f46eef63a9", "c0992975eafd94746a4c18a0a2ca252044fcdc64", "e4972e6af450a5ba6b648684d6953e789bfc18c3", "275d19040241b22eb15dcbf51d3c5a2e0bfaf385", "90c26eca18194e23cfd3c3bbf341b133e4bf5f6b", "b0554290e1c1d19ee5378485fadd1ff99c31bf2d", "e6348bcc61f49bd19f9eb5fdd39fef2d390a0f25", "c7c005e7875582e0a207cf1a48ca4ee51e073580", "775e702f8918f4e788ce0f30050525bdabb41bdb", "2f8a46540740cb04bb33d0385cfe455a2a907672", "77d0c4ed1c2d971b3e81fe7919be7a5a19309f40", "8c305b2d8982135da852cb005dcf602a02f04118", "63e9deb375f260bdc0c4308410caca0755d307c5", "a75d159bd04f5ff13aef1ac33abccdee27057d60", "58fee92d763786ddf7e4772e19fe1f97a1d901db", "b32f7c045801dea27d58e47917badb5b075ab0cf", "64605e0c28f0acbde52a29e6e640dd6b00ba9c35", "b69a7be6ae438090b7ed458662abcbde5871c4ff", "91e98c4a2164e1426724a9b0dbf780deec6218a2", "285830fcf77b1119e7603379750e5bab306ad119", "28fc7e119ec7d3bd0cf7988a0aa6cdfad1152b31", "c5d1cf71172bc4df3ef0ccc445e4e7e0d6691b28", "931d8149f6148a190a9a917e5815afe7a83c578c", "4aea2c52d7c99ecd4ee6d6ac6582efc71fd7d2f0", "b53259a81dcfa9913495bb47f62627c51e20f086", "7430d964331327475f62d8b1051b044c453ed660", "55b17c95d7e032a868a255c183dfbd8acdd308b1", "3dad8d0b5185503b3281bdeda10b9904ea19da50", "82a7f64280cbb3c90570b2aff0c52ce9161bd942", "951dede2758451825dceed238d356a3a984c3670", "c32e20258189aacb38b11f854fe4869ba239605c", "90b212c9fa764b77a228419fb97d4d091366007c", "b39d24fdabf49c95fd3a32ac37f9285ed247670f", "30ad88ca5b834ca78619f3938b5f8ee534fd3ea8", "4d5908a27f21d97fbe526d247fceae4c5bbceba0", "3f7ecfd3834d75411cf08ca17b0bc7ee0e96b6a3", "ebac8173e857a69c6dc1c97a53464913deb76114", "bcc1e0043567ab73969116f34752b36a33ad96bc", "a13dc9739e4637599359d792fd60d511ab8a016e", "86558c2aa93bcb4cba53d0ec1763376a74ca5054", "f916dd87bcaa9ca7142ced529b76ff1acbc965d4", "a68d2f331a4c3fa0ababb93958645a98941e99ea", "1de62c96f042ca0f5f7eb22c2f3cec4a6881b548", "e01e2b2d12acca616d01eb087d63363f127ad750", "656c05c742bf5e1a9583d1ddb9e80d388ac79807", "47bc34ae6f5dc104bc289ae3bb4fa75ef75fbc21", "0535c537a77016b0fbf5c38377ad76c78523b097", "206bb63f675ce65ec61a8bdc402af529968f0772", "ded41c9b027c8a7f4800e61b7cfb793edaeb2817", "519b5b120a76499ec769fb6f8e5e6633aa5f23b9", "07a7484a9cc566619ff9a01eb71bfa30ea9e4a06", "1335190de78e0b58fbf7a7c7c52fa1a15f14858a", "4eae5c4dda84d9a19f45b7f69fb06198a81bcbe1", "41b2c5ad11a3f55d72def07d44cb32a44701ecd1", "d64140198926ab48ed18aa462f376a3bb1db5371", "626004cbf0aea5efa847001f06838050d43bcc1f", "1b31dbc68504ca509bc5cbbfff3c81541631cf4b", "ff43d325169a324529f6411852165200b51c99f6", "33691b7e8c980ea2dea5b5d3d7bee661e9623715", "da11e38895b1ba0034dc59a629b949f33f092275", "e480f8c00dfe217653c2569d0eec6e2ffa836d59", "4d2c1610bea4fd70dac20d270dcd35090c9aadde", "2a748cc66531dd7f4d122e66cc0cb461d1205fc0", "d7d90d768c4770c356901f20077af9ad27efdfd0", "1d7a3f91f2496e0d1c9580c3d22ba209e29db960", "c3f22eacd32db1a92c65f8eef9e79f4bded71904", "608c5103ad8e745b98dfe92ef33b66b93f01b051", "6550389c31620b7c9bb8fd961c32b1d9b8430d35", "e09c9eafec429a541b862a2d645fb514267791d5", "c97cd49536fcec5b50962eaf4658a973cd85bba0", "7d6244527b7e310ff443496d0dfb973cb7d6f71b", "34cbb133912723e90a87e50da3ab805eb7bf6070", "0468b2b98f6bc190a84daa5902b094ca23122ff6", "f5f56fc9eb19923520aaef6703426552a713680b", "e66304d30125a7adac3b1c9cce345c164c0317d7", "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "1365d179232048c2d80f6f7f10330edb069015f0", "f91ac398724dd122c2fa165ec1cb779005f9f829", "55c769b5829ca88ba940e0050497f4956c233445", "336fe31c25c9128f43f2dfe454041e7c608557d1", "b7c7721e5f19e02ef56c17cd74d24476a53856dd", "819ff65fc6bdc9c4aea53b14e1431796c1b1d3d1", "d335f2713a3bd9a2075e29d4c59b804f392b49c2", "fbbc2978758fe459f05d749a0fbd1ef3a3ba3c6c", "d3c99ec84197320443127d2f2f2a8f42c878b310", "7eaff569dccba42bdba94ce7fd83e1d3669abb3b", "bfbee49e2c193fd0aa0f119bb2603450895dbf14", "8496f90e4a3f36840d32a14588b791d85da3c868", "55cb0ba0ef122ee2c9010df63f6f6e46eb1aaee5", "fbd8ddea892129cadb4a7aa89c19eb07dae9e441", "230ad73e8bd1d3268d56c66a83442d24176b864d", "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "fa23122db319440fb5a7253e19709f992b4571b9", "892400017e5c93611dc8361e7749135520d66f25", "7bc1e7d000ab517161a83b1fedf353e619516ddf", "604a281100784b4d5bc1a6db993d423abc5dc8f0", "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "53facf0d786366430886eff2fb7bf6da236b2899", "575141e42740564f64d9be8ab88d495192f5b3bc", "ed32df6b122b15a52238777c9993ed31107b4bed", "083a2bc86e0984968b06593ba06654277b252f00", "a05b1254630257fe27ee195ef05cc50ce6e41f22", "0fc5c6f06e40014a56f492172f44c073d269e95c", "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "2a7e6a1b2638550370a47f2f6f6e38e76fe9ac13", "e198a7b9e61dd19c620e454aaa81ae8f7377ade0", "64ca0dbe60bf8f8243fad73a2494c3fa7a2770e2", "f2896dd2701fbb3564492a12c64f11a5ad456a67", "3dce635ce4b55fb63fc6d41b38640403b152a048", "fa160e14172ba5b825488d961c7e6e7787a26cd3", "4551194408383b12db19a22cca5db0f185cced5c", "44fb4dcf88eb482e2ab79fd4540caf941613b970", "4465b754ac93e330facee245b4da0c822cc58441", "5058a7ec68c32984c33f357ebaee96c59e269425", "8d8461ed57b81e05cc46be8e83260cd68a2ebb4d", "6c5fdec4dfddd51babf0fbd1275f2f2fa6bbbff0", "2bbbbe1873ad2800954058c749a00f30fe61ab17", "0915800afce26871a8546c091c6741b220b90e05", "bc3f76d1816cca5c83e83b8710aaaa6119b5456f", "f1748303cc02424704b3a35595610890229567f9", "1c530de1a94ac70bf9086e39af1712ea8d2d2781", "d7a84db2a1bf7b97657b0250f354f249394dd700", "2facf3e85240042a02f289a0d40fee376c478d0f", "ee255aa41161021e44a676fba8090afbe4cb6c83", "3c6542295cf7fe362d7d629ac10670bf30cdabce", "22532c6e38ded690dc1420f05c18e23f6f24804d", "7c11fa4fd91cb57e6e216117febcdd748e595760", "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "aee3427d0814d8a398fd31f4f46941e9e5488d83", "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306", "fcb97ede372c5bddde7a61924ac2fd29788c82ce", "3e6be14e4d1a505184498ee0f40735821262dbb6", "2336de3a81dada63eb00ea82f7570c4069342fb5", "c418a3441f992fea523926f837f4bfb742548c16", "15fbb5fc3bdd692a6b2dd737cce7f39f7c89a25c", "fe866887d3c26ee72590c440ed86ffc80e980293", "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "29631ca6cff21c9199c70bcdbbcd5f812d331a96", "85f7f03b79d03da5fae3a7f79d9aac228a635166", "d119443de1d75cad384d897c2ed5a7b9c1661d98", "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "e0423788eb91772de9d708a17799179cf3230d63", "a7191958e806fce2505a057196ccb01ea763b6ea", "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "3083d2c6d4f456e01cbb72930dc2207af98a6244", "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "3337cfc3de2c16dee6f7cbeda5f263409a9ad81e", "452ea180cf4d08d7500fc4bc046fd7141fd3d112", "75650bfc20036d99314f7ddae8f2baecde3d57e2", "6ab33fa51467595f18a7a22f1d356323876f8262", "dad6b36fd515bda801f3d22a462cc62348f6aad8", "b47a3c909ee9b099854619054fd00e200b944aa9", "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "b234d429c9ea682e54fca52f4b889b3170f65ffc", "ffc81ced9ee8223ab0adb18817321cbee99606e6", "42ee339802ec9195b2439074e5b7120e74ad79a4", "0c2370e156a4eb8d84a5fdb049c5a894c3431f1c", "14014a1bdeb5d63563b68b52593e3ac1e3ce7312", "00301c250d667700276b1e573640ff2fd7be574d", "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "48cfc5789c246c6ad88ff841701204fc9d6577ed", "bd8b7599acf53e3053aa27cfd522764e28474e57", "c29fe5ed41d2240352fcb8d8196eb2f31d009522", "b84b7b035c574727e4c30889e973423fe15560d7", "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "81c21f4aafab39b7f5965829ec9e0f828d6a6182", "ed70d1a9435c0b32c0c75c1a062f4f07556f7016", "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "47a003e6bbfc5bf04a099ca53c67ddfdbea71315", "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "af12a79892bd030c19dfea392f7a7ccb0e7ebb72", "cfa40560fa74b2fb5c26bdd6ea7c610ba5130e2f", "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "6c6f0e806e4e286f3b18b934f42c72b67030ce17", "0821028073981f9bd2dba2ad2557b25403fe7d7d", "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "9cb5f62995c9b5413164e896294ac695413823d9", "31a36014354ee7c89aa6d94e656db77922b180a5", "fcd3d69b418d56ae6800a421c8b89ef363418665", "d1b5b3e4b803dc4e50c5b80c1bc69c6d98751698", "7c8909da44e89a78fe88e815c83a4ced34f99149", "1e344b99583b782e3eaf152cdfa15f217b781181", "be7444c891caf295d162233bdae0e1c79791d566", "ccc51e8b608213fe126b1d2469cb72de0331498d", "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "f81dd3144957e3cda5a798529d858898d384f121", "16bce9f940bb01aa5ec961892cc021d4664eb9e4", "2b5cb5466eecb131f06a8100dcaf0c7a0e30d391", "935a7793cbb8f102924fa34fce1049727de865c2", "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "23675cb2180aac466944df0edda4677a77c455cd", "ef36ca8abf0a23e661f3b1603057963a70e16704", "b249f10a30907a80f2a73582f696bc35ba4db9e2", "c49075ead6eb07ede5ada4fe372899bd0cfb83ac", "cce332405ce9cd9dccc45efac26d1d614eaa982d", "25bcd5aa3bbe56c992547fba683418655b46fc4a", "0f112e49240f67a2bd5aaf46f74a924129f03912", "cb004e9706f12d1de83b88c209ac948b137caae0", "0e2d956790d3b8ab18cee8df6c949504ee78ad42", "2bf03e8fb775718ac9730524a176ddd189c0e457", "939123cf21dc9189a03671484c734091b240183e", "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "f374ac9307be5f25145b44931f5a53b388a77e49", "f214bcc6ecc3309e2efefdc21062441328ff6081", "a591639bfcabc4091ff556364074c58521159ff9", "70db3a0d2ca8a797153cc68506b8650908cb0ada", "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "d82b93f848d5442f82154a6011d26df8a9cd00e7", "070c8ee3876c06f9a65693e536d61097ace40417", "13aef395f426ca8bd93640c9c3f848398b189874", "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "02d650d8a3a9daaba523433fbe93705df0a7f4b1", "8f5facdc0a2a79283864aad03edc702e2a400346", "d5fa9d98c8da54a57abf353767a927d662b7f026", "6a5d7d20a8c4993d56bcf702c772aa3f95f99450", "13f03aab62fc29748114a0219426613cf3ba76ae", "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "c035c193eed5d72c7f187f0bc880a17d217dada0", "3cb488a3b71f221a8616716a1fc2b951dd0de549", "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "19da9f3532c2e525bf92668198b8afec14f9efea", "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "7ad7897740e701eae455457ea74ac10f8b307bed", "ebbceab4e15bf641f74e335b70c6c4490a043961", "4a0b18fab67724313cafc35495af9dc5454fa6af", "4919663c62174a9bc0cc7f60da8f96974b397ad2", "1890470d07a090e7b762091c7b9670b5c2e1c348", "c8b89de8d63d68166b3373e451916bf35e74d2f4", "97c59db934ff85c60c460a4591106682b5ab9caa", "fc04a50379e08ddde501816eb1f9560c36d01a39", "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "b1891010a0722117c57e98809e1f2b26cd8e9ee3", "f2902f5956d7e2dca536d9131d4334f85f52f783", "7553fba5c7f73098524fbb58ca534a65f08e91e7", "a6e43b73f9f87588783988333997a81b4487e2d5", "997c7ebf467c579b55859315c5a7f15c1df43432", "a0dc68c546e0fc72eb0d9ca822cf0c9ccb4b4c4f", "876583a059154def7a4bc503b21542f80859affd", "9f49013657cbce384df9b16a2a17293bc4c9d967", "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "8000c4f278e9af4d087c0d0895fff7012c5e3d78", "23edcd0d2011d9c0d421193af061f2eb3e155da3", "635d2696aa597a278dd6563f079be06aa76a33c0", "c0b02be66a5a1907e8cfb8117de50f80b90a65a8", "05318a267226f6d855d83e9338eaa9e718b2a8dd", "cd63759842a56bd2ede3999f6e11a74ccbec318b", "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "f67a73c9dd1e05bfc51219e70536dbb49158f7bc", "963a004e208ce4bd26fa79a570af61d31651b3c3", "435dc062d565ce87c6c20a5f49430eb9a4b573c4", "2f2406551c693d616a840719ae1e6ea448e2f5d3", "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "3cc46bf79fb9225cf308815c7d41c8dd5625cc29", "1ca1b4f787712ede215030d22a0eea41534a601e", "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "87b607b8d4858a16731144d17f457a54e488f15d", "6e198f6cc4199e1c4173944e3df6f39a302cf787", "d9810786fccee5f5affaef59bc58d2282718af9b", "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "bc6de183cd8b2baeebafeefcf40be88468b04b74", "3c0bbfe664fb083644301c67c04a7f1331d9515f", "c907104680ad53bdc673f2648d713e4d26335825", "11b904c9180686574e6047bbd9868c354ca46cb4", "0c741fa0966ba3ee4fc326e919bf2f9456d0cd74", "8c5cf18c456957c63248245791f44a685e832345", "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "1135a818b756b057104e45d976546970ba84e612", "dcb44fc19c1949b1eda9abe998935d567498467d", "abbc6dcbd032ff80e0535850f1bc27c4610b0d45", "cc1ed45b02d7fffb42a0fd8cffe5f11792b6ea74", "a9fc23d612e848250d5b675e064dba98f05ad0d9", "e16efd2ae73a325b7571a456618bfa682b51aef8", "f47404424270f6a20ba1ba8c2211adfba032f405", "7e1c419065fdb9cf2a31aa4b5d0c0e03f7afd54e", "621741b87258c745f8905d15ba81aaf2a8be60d2", "6486b36c6f7fd7675257d26e896223a02a1881d9", "1fd3dbb6e910708fa85c8a86e17ba0b6fef5617c", "8411fe1142935a86b819f065cd1f879f16e77401", "189e5a2fa51ed471c0e7227d82dffb52736070d8", "574751dbb53777101502419127ba8209562c4758", "659dc6aa517645a118b79f0f0273e46ab7b53cd9", "6adecb82edbf84a0097ff623428f4f1936e31de0", "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "09111da0aedb231c8484601444296c50ca0b5388", "d3c004125c71942846a9b32ae565c5216c068d1e", "2c8743089d9c7df04883405a31b5fbe494f175b4", "cfaf61bacf61901b7e1ac25b779a1f87c1e8cf7f", "4aabd6db4594212019c9af89b3e66f39f3108aac", "63488398f397b55552f484409b86d812dacde99a", "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "b6a23f72007cb40223d7e1e1cc47e466716de945", "0e4baf74dfccef7a99c6954bb0968a2e35315c1f", "1035536e484a167e3f7d7edca8de9cd5917383ec", "c4ca092972abb74ee1c20b7cae6e69c654479e2c", "6e12ba518816cbc2d987200c461dc907fd19f533", "1f5725a4a2eb6cdaefccbc20dccadf893936df12", "ba2bbef34f05551291410103e3de9e82fdf9dddd", "2e27667421a7eeab278e0b761db4d2c725683c3f", "68c17aa1ecbff0787709be74d1d98d9efd78f410", "d79530e1745b33f3b771d0b38d090b40afc04191", "4aeb87c11fb3a8ad603311c4650040fd3c088832", "d09df8a2e7cfef667e7836a157d0d26658be788f", "2a6783ae51d7ee781d584ef9a3eb8ab1997d0489", "fa518a033b1f6299d1826389bd1520cf52291b56", "8cffe360a05085d4bcba111a3a3cd113d96c0369", "141cb9ee401f223220d3468592effa90f0c255fa", "834736698f2cc5c221c22369abe95515243a9fc3", "197eaa59a003a4c7cc77c1abe0f99d942f716942", "812d3f6975f4cb87e9905ef18696c5c779227634", "c5421a18583f629b49ca20577022f201692c4f5d", "7755ded70d23839e9f9eb348605c0a4dc336e95d", "76a0016ce19363ef8f7ba5c3964c4a0c29b608ca", "b9262301b11a4d41c8346626a86b603cd2e63992", "a84b4e391afed6bc4ff5ea8814093a57034d664a", "8cadbd63ecf964626d76a68b855781a6928859cf", "71f98c3f7a5b02ab193110d5ae9f9d48a1c5ec38", "7894e3888bf0bb4d37569457491517554872eab9", "fd8bb112b197e23183feeb6d1f4506d180caa4fc", "15f51d51c05c22e1dca3a40fb1af46941d91f598", "324608bf8fecc064bc491da21291465ab42fa6b6", "e42d055d59f6b5b0bf677975d21544aad26a5417", "ec096d96a9cb18203a14c06e150e67febc4f4265", "ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b", "72ae9384187c147dd17d53d0d23d2b604cd09efc", "67df6a8129ceb223ee0bdc19a900fb3c7adacf34", "7ddb2e298acbe29ccaea131e8a6475d451eb90ad", "148721b162dd355812fae94c8aaf365e5e2c3a79", "b95c8bf1fa882d3c2ff466bae1eabdc533781806", "8d34ab23d6770a6caebc2be79881481dbf7c64d3", "28a0e78922fb9a78afb04ac22745bf81e116f416", "6f99209b7b274e564e95622990ffc4becb3232ca", "2cbed30dcccb78ad18e3fedb30db187bf2ee09e7", "edbfbcebb14234b438d90d6dcd9b667e9071952d", "25764e6e767c49feb9a92e4a0cb2210796843c88", "99e2c2e7748173f16d51f524cf6add081a478a2c", "09c19512612df09b1e69c62d813f6050321bdee3", "1b1e6ed3627fe1eb24d0dfe19f5a1a14be48f8dd", "2b926b3586399d028b46315d7d9fb9d879e4f79c", "b1e7da535171de484992a0f1a4fb915e67fb873c", "03318abb2db923cb15dc28bec1209a02be308ff6", "ed68ef03a97b8441fd6a676e095b01dd3b5bc54d", "5d25caad6e551ca7b39c66f1f79998bfe6c71ceb", "2bdb6162beb1f66baefb83465421526b934d43ab", "b53a55d624269228a761301abab1d80ade9f89c5", "ef9677e5c7dbcc87940b11c3627db56cca9bbf52", "69511f2cf0ff1892758d360e1416617987a2ed2c", "7cc97a34c9a5c1c57af1ec48602ff74b4f96b523", "e05444e51d292bda871388c22b97400ed4cf73a8", "a11a63e00c0e587adf4efc1425c0651c242263b7", "091b4ad74ac5bec206604673506b19838d6a0c52", "67134d7bf637f7ac4e354bcb374d7c28c7740ab8", "592173bf31727dc67ae1c7927f1f82ae940b2b31", "265ffb2d850ce9ed4cfb2646b253611d07d0b19f", "4085e77b15bd340d9e18be651b37e7790f676cd0", "54bb3a17d536c7b88e56d294464f3d54de2ea9b3", "3093a57be04309e2380ac98b568dd8fcb8077ada", "a3b1bb72c1966c4b59d2428fb293c26f386c4f71", "0185dc40af02d6fed5a0786b9ba445d646f5c98f", "4f41f7a2f1f5eb5f26d47aeb168dbeb0f9ed453f", "7214d9356398aa39923c69650bcf761d4ab6307f", "57ce5856ab81a78c2e5db968468da3a8b45cac25", "6c4f34eee17d66677fd332772761f41213cdc59b", "11a34bda2daecad5f7c1caa309897cc9cc334480", "2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9", "a51aeab792370ea6c6e71d382c6c7e857da30b48", "796e333796024acf662fe76c4761607eaaa98a5d", "b4ab2555d5690e8e6fb1cf23c995a120181698a6", "bf23de0c2b478114cc5c4733e4e701a1d4662cc0", "91816b4b5fb74710144b3294dec61aab4de12fd3", "afde6c95ca696de65599a27590b31112a3eb6f6d", "0b39f2e02c0e8102092f980615449a5c6c3087e9", "d6380f8294d62757fbc07419adf76ea87e0acbcd", "14e336258fc0e0bf7311ba73d6f3abed339fec85", "3b9c3218439c7a6af9bf8ad97f9ac59874ef700e", "98a60b218ff8addaf213e97e2f4b54d39e45f5b9", "3979fc22340bb275e5d1d97f00ba0dc2cf1e881d", "cf4e94d0337744280da87ff351412bbe702af2b7", "8fcdeda0c2f4e265e2180eb5ed39f6548ae3ba99", "a975f1aea5dbb748955da0e17eef8d2270a49f25", "0037d05fe2fc9553e58206f40ca39760396b5911", "9857c4aed140d6829d763004c028e7b61bbac00c", "4eb600aa4071b9a73da49e5374d6e22ca46eaba6", "9561c7ef4f89019eb7fb779a7b18ef810964b491", "f4b9b5bdb28641fd1a2db0b3730eef02c7bac489", "0144b29bde2579e0a1b8ab3a38306c5621a5c30b", "20b6b28bca735f8185822dc92b8579b70ab555eb", "506e2850a564b6085d8f0af4834a97ddd301d423", "31c174f2190889d5792358713e078336926d7ee4", "4ea9bfcb7791cc07882f78b4747b8c8064ec6f7d", "59a0b3537bf4f764c192812c4b48049f5c8fccc3", "a2a17b7421bd46224127e35e3451b1af36528a6a", "6de25382753e1b20246520c5dc8b591d9371c816", "87dd1c52a3805c59eeab527b8c8c1214415026a6", "02ef1f665765d4d00538ccc6969a3e041ee62d71", "a25cb1b45b0415bae92d7ee5a384010968b8a657", "8b46df5e851e819473a726503a543a95e130e33d", "0fa24e602d65af82fc429edb4e0980dc534d4b16", "669ddd0b5f742876fe84cfb3dd7ff30bcaab52be", "e03f1f4e673f6a2937c48a0afb4dfd442aabbc5a", "1456f147381bf7c385225d854c2fb48c19eca285", "f4d68024b096c8e203f8b8ccf40d0efcd06f2c4c", "41d9fbf55ea7142b13b68d8ddfe764896569cd32", "120dc243f034d517a2181d1788d921510ef30cbf", "fb44fc4c92ffbca1a41053e5cb673e76212f1df1", "be707bf7c7096df0fcf5bb07ef0fa53494d6a781", "096bd380a2f653dc5e43069b97e1505186c47d5b", "12169222eeee058578629e5097f250c3992530b1", "04ff060369c86ccb07414935bd3e3b85e4896261", "19c5dad301b1bc0cdb719f0d80e42e73d3c7a421", "0d4fce2853a867e055a0062c2ef2f8accfc623f3", "a58d942c5dd42c9257bd295a13cb49474014a8cb", "02a2c5b332d883d726929474060a7e62411c010a", "b69f7660985be23abda72990cb1f367778960275", "5fc9d4b713fa26a1b50759fca8fb2ab24fe96ebe", "7cd9b79cfe05e772afaaff2a0aecf3bd5eb53f79", "c6fe64e24184056c16ad87f89f6d8ffed1423611", "b75cee96293c11fe77ab733fc1147950abbe16f9", "78bf00914a0f283138ad3397091c4ae5199670c6", "19b727567c0d63dd5594f96e70f5ccd8ff1b4e33", "2475ad865b2102cef83a87adfe0d2e71d4791e53", "394276284bfdb5049aedbe94b215e81b1bf4fb03", "a9a2ef9417dfe480a047a11a15814d3886ed0729", "16c855aea9789e2b7a77f35dc4181efc93dec69c", "d476b357c5bbc7bfae06a3876a5c0852d31d1b6e", "3f3d0852249ff7924e152efe948d0aee87d4238f", "25deec2f03ef5f1ec76373b5bd67bcfa43d37657", "005503ccf270890ea2582370feed4506f3785004", "0ceb23d9f7cd7bf095642d40dc650be9c1cedca5", "de7b815a83de8496a3bd384b3caa54352a85cbaa", "3f4b67309e6a2a9a1e303fbc0606225df0d3c2ab", "b1e6078cfd44ea816cf2fbc05d10c69543834150", "ebb527dad52f28610f9153952c10a95d8f01f5f9", "22029beb936c9871757813758c5ae3e5820260c9", "8645fe95f3f503f854b08096c2874a3f7ea6b79b", "a91d0ebc1255d6de1c4588767b3b5e1fc630e56f", "21f990f3bb8c7dfe57f31d912fb555819f1a64bd", "f735188dbcb276cd1da248110712fde0d1b2aec7", "8af0854c652c90d4004e1868bc5fafec3e4ce724", "3265c7799f9d14e29de37b1e37aec4330cd1d747", "aee90db1f66b77113b0a62701deb01ca96b6d9e6", "4950ae0e837657b611113e219bf848f0c657dcf9", "89e4f5a1eb6a97459bb748f4f7bc5c2696354aad", "2f951dcba9539270ca3feb9becc4539feb89e80a", "224e78cc643e38c2cdcdaaa5123ecd7cf7a08674", "78f0cf1cac51c51121080a3785e763e4397fc330", "9e2120e48d497b373c53563275c3786c11749883", "34128e93f4af820cea65477526645cdc82e0e59b", "300eb15b819ecc9668be26735e5038efc4e05281", "07c0fb95cd39bece89d1edecbade0e0b89cbdf56", "154683bb947c48321ecec162062204b1242b51b8", "b849bfe51138d88f6cae2d602b5e2a42565fb1c7", "faa111d749eb228c686643e4667dd1bc21c724f2", "50fb5e2f0c2fe8679c218ff88d4906e5a0812d34", "3678dac7e9998567b92f526046a16e2910ced55d", "2c3cac0f568ae9261ff9c80eeda55a13e83ae7fb", "8eac20a3657b2c1fd9fcc1024882c5303fcb83a5", "204db062f4952ce446cbb28fbc40d4a7f4424b03", "dcba9cd587be2ed5437370e12e3591bdde86dc3c", "a74bd6c9c4631117a036ce0e1c8e3d2a0b1f1f5e", "c88173aac29baa13d615c5be858290a14f0493c9", "59948ee0f334ccdc4e94e5bb6a7a019c764e1815", "66ef3bc9136f062f31ad20d1f5e0eb57074b9493", "09a8ae8fc95bd3c9fb8022da2c32c519d5fc06bc", "9b401be9fe35b759ae48c9dd5e9b7e4382511a55", "7c8242e68445118798e2e1eedc287e88a3d8e76a", "b4f90b09bb99405885bc9413288468f5892a62f7", "d097056d7cf1648c2e2de8e3a15f2a8d526cacd5", "5298e3ddb8ca2f40b67aad2507a76cda71bea6ba", "013ae3813686580980924a8fc97caf7776b8a63a", "08dc6e67f71e6c666cc7eadbf31b494e4bee362e", "763e0d4cd22eb1339fe346e8c62bf45738734dda", "09c4732280c3b2586e390d818ef0056a8de73e2c", "e27acf161f569aa876e46ffae2058bb275f12a60", "b9bd9cab426f4d4a0b0d0077f6d9dca2ec01ce3c", "0ae910ef0cb2f193a43d3a592b7b62ef8bd13058", "8eda955303623b68ab207abb233fac17b92c6632", "eb0a94e92dec2fb48943078eaafac33502fa3162", "e3e0f24539706023d88883a848b96b3be0366892", "ddf20b3e47d4e9626ae6c82f8690f440251403ed", "43d2deb66ad01e1a6b77e47ae31bf8dc12f81c22", "35be6ce15347870395931af308f3e84f1e79db1c", "af858b8f788c81d40c3c21568d3cd0d058dcc9f7", "4d5c34fb36cf8c74880a62814750760bce0aef16", "cee3bafca4b8474ebff82c9661617ab6cacda6c7", "bb06c12e83255b2c3afca1e3e115e721c53b46b3", "e26de3193487e19091ed353db6012507080e645d", "f1354246b647074dde9109eec4307f2d0b4e7fa2", "41f7c03519a2b108c064a2126daf627edde14c1e", "111ac5d013ac59aa8da919a470cdf83b437f9721", "7d30939e2d6f8b980910f4eeca5338d072f5ecb6", "bfad1067e24d9fc86487d4533559721838bdb710", "cf192e801761d1d9351f5f5163f9f24970f88812", "6ef28af882e408ff63f83ca670392a008d203fbc", "62f7de0e26f5716beb32b9d14e646e76b3a2e2af", "89dd979043cbda9f3964c31acc69873c63040552", "ddaf362bd3b2b21421466156d7b08399b9eb8a79", "0a843177d1aed0bb78463225103eeba94e0ce057", "4502b2691d6c92f3306b66bce70caecf550ae55f", "b0894e102cc3784c408573fce3a1ee0130d7ded9", "1b1027b3b03ed19fe579a32319b3e251efebb3c7", "0e41758075d91e58412f012c2d03531c5baf7cdc", "478cab795c8bc62cb68d3ffa9b0dfc290201416c", "4a95dacb1d38a07e73007082b8ed7651a4b5277c", "53d39f9260c6ee29dbf118382be91ea09475e628", "302fee58f8c9498e8a5e543312e7c11baf7e0827", "4d334cfafd11a93394917adcffef6c1d27aa178b", "00433d2ad90b40bc5ad22a591aac0da68037003e", "60b66ec51ddadd132453f700d1781e8e7a8f78c8", "4bab23e4ce9b6c65a067953fe202c20c387f00c8", "405b43f4a52f70336ac1db36d5fa654600e9e643", "37d6cde8be756b70d22262f1acc3442a0c6aa7ea", "b5cf931cf0bd606575bc793c0c8ec6d913d08bc6", "aeb2d4d6418e34e4cd91925906d6b648e32c9cc2", "9700f1cf75c3908aca56d154b2a4424ce557a7b8", "587f58539ad6fdfd277853ca611730a81e773232", "d4efe6e5b4229b03fc7c62ee34c878626d368c09", "3151b110ecdcf2105def494bfb0775f21259d7e8", "0020207f7e004a5f3faeee9b7c3ee86ceae88a2d", "b95acfe00686cc6f6526fcd1f30b6f38061d3a29", "4931562044a691fe41b638550b54a0a689674e83", "22259622612a839d97133d4809f80447dfeb5d56", "6bccfe8068da78fe3caa43bba686919513fe451f", "7a27c7d5ec6728b6b81a476d38db6efe1d938215", "e5bdd9cdb0845cbc2d1301198cf18f3c0f056161", "e65452aa90850570f7b8d52cbd7082ed669c19f3", "b749d6459a343de2b708c44ceb801cc201bb9c42", "47ae41d513630b8e4a03a124d7c20eae97ddbf55", "03dd7ca6fdf2f4785089e286969f7ee5ccea0a02", "49957368eceaa751c0b9c49251512ca6a8800cff", "02be981d45a8ca14e30e1cf9dfffd977f85e6ee4", "bb1b1002210de5f46102036502ee2732a8050174", "6821a3fa67d9d58655c26e24b568fda1229ac5be", "6b78f258cbe1f34a938547eb1585e43f8fdbd200", "7f310839e62c2623f6267b533047b323f61d2b27", "e8632e5bf43f7c59f4e1978833db8aa405c76c58", "7c1db13ae2c62d1f860fd2664885c9c93a28cab8", "aa435de0833fb6cabb1bd97f85a80d4a593807a8", "63f2c3e312d07c6452bdad0a8adef1b879950500", "47f31f9126a386dce81e3ef935579fd8c9a134f6", "e2e8db754b1ab4cd8aa07f5c5940f6921a1b7187", "a1abafcb88d668495b6ac0599382bfb26031b8a1", "f7970f1686d322953501163b14ee4368cb5f0498", "6e172fa3eefac4d5adc7c215871c02181d498002", "0c678d593cec6ff51c18bde3847fffbf58a66282", "0f96adc5a1b50cd587b510cf7c0bccd8186ccf82", "83e7254431486d24715d4170680c6cbc8bdb2328", "6f83a82f7944fc679241b7e1cf9f3e17a6d17550", "082722e10999ace6177ef03d73126e0b4e1a6f2c", "b2fde24de782d2979b946c49986cabdb12e84eba", "14d6ddb48d1b8a593665576d7e25f17be1447b2e", "454ec30d0a491800458a52a5aa655eb76a28f4f5", "984ecfbda7249e67eca8d9b1697e81f80e2e483d", "fded7773f14e4680c5a818bab5de4b3d29bfc732", "56cbfa23b9a60320fc0f8365991544f015a610b3", "fec5c0100c72d7c1c823a91dc146ecd5e98e77ff", "b0a376888a33defd6fcfe396a11e6ea6d4f99f0e", "6b68e3388ddecfcb0671dee6fba9a895aaf3d4e3", "d897e942dd9d07c3d1787b44151b691ecef7ec1c", "a8f032b300b99dedb9c0f8362557302696d5ee9a", "8399c71abc9a820bacd9c4e21c85c461c0b830b3", "f76808d6811cb3790e7fc3ddb08c733febbdefba", "eaf8397f8effd1f595f14fb888ff7c9e54f35833", "fef9ae59c5bf1f3876312723ac2e00ac4e9b51d6", "c08ef9ebf46e5a88c4ee1aa64dac104ddc07bee2", "340798e6b7a9863005863f38c1bbfda5cf85d201", "ecaa37790566c82c892d4764bed2b6133a3a8e32", "ffb34b2b63e80e3541ecbdfd75ebe88304258210", "e41a1c8165e84d576b34e06b7941f0dfde479cf7", "86e005b54819ca54d35daa2ae7ead498f41d84ce", "496a3c906a31ebc2876bee410530489d4b64945d", "5acfef824dccbb56d9095ec2ca54290e8ba6eaeb", "0534576e8937c209fe03bcd5e64ded9bd09d897b", "617b719e6c31cdfe7c5c485a755435b95f0c4991", "c140eb6fddbfa4eaf8fcabfaa4c205215bca6be2", "8d526a81a1939b810ae729fbc7e41d175881b099", "b3416a5f7339c7e83d68ba1d00d00576880a8f04", "3f764cbe8959a4df0ce844030b8c6c5935a71270", "940f164074a26b324cc33ee5192f768b35ba179e", "b33b88a5fa5d4f20c24dd0e5f3b3529b7545c9e6", "6976165d1ed210363be5b45933144c16183b64c4", "e3f2e337d4470545398cc6753a54c21debf9c37b", "a3ab0490b94868c52ff614bb0c6e47019da84313", "c1059a702f53c44bb26d3313964e811adf01d9b4", "31b0f482908d16d82826f2fc5fba67128cb07e4e", "46106d9f9d9b90401b7984794536e2f45fff1dbe", "1740a0732e8e308f5dd395313313cc3289666f13", "1d2f16a6bc39e2cccb0bac09b8b958684901d9ea", "f902592858a68efb8f8ff333d0ff6864ce81832a", "1670729d1edc9bc6103ee823f1137d302be41397", "073c9ec4ff069218f358b9dd8451a040cf1a4a82", "1916128446270b7b4520bf2fa45ec999043507e6", "03ea398fcefc53a1bd041346c895aadcffed0261", "93d80d544b5e5e5f84605b29f3fdb9b502f2e99b", "75b4a3434023c5068c510b91bf4c3679e22ff3c7", "3b4177556f1c9f5a8f8e1b2e8d824dee20e388e4", "a25fb4cf0a360bb4962da16d0f1c2e3bf570a183", "7c202efbaefdd283be4a4579c6d579ce03e48cd0", "ef75007cd6e5b990d09e7f3c4ba119be6c2546fb", "8d6c4af9d4c01ff47fe0be48155174158a9a5e08", "bc25f5e10c839d08ac8827fbe7724cd713008803", "8236dfad541d0caa066ccfb2bb04731e3c74db37", "119ac3d4a8c9bc5c36087140fbdddab788d10e5c", "11ed823555aabf7e32df5b09a04111a686f8ebb6", "cba3061a883cdfb45c6d26fdee7dd53e6614d388", "34c7254d2f420df6309260b2bb461a9c107dfd5a", "b5354bcad6c11983f9614546371262c454c994ed", "e93a65ff1c7c29736cef5701f079f75ecfb76f5f", "63da9079437f6090b44eec60ec3986c25c13be73", "4e33798e364826af1241d28d57977bec9a579709", "c4827fe8002ea61a2748b78369afe3a0747d1a0c", "6dc25023be1947daef79698f88922e97ead2c9a8", "ad9d98f34f6b7d3f0d3b742e49bd42fb6b4040a4", "d69e644016042d1032995bc9f51e2d72a1c1cd93", "10c41af3f41fdf842c05d451e5af98d10e642b75", "7bd6c7a26f35158112339ea81c055cbd79ab38a8", "d33e2e31e5a168c7d291d62d4c1be44e8179cb53", "01c687f0cb8c8e1002376f834c9b43b4b653a52f", "42c3adafbf8fce4b9d0986be184f2b1955958162", "5f6f246175d4fb759888e2e42a04360724dd4c74", "d497b9e50dc2aacfb1693ca4de6ebf904404d98d", "cab160d3ee7873f7905c0334de1a066e20a25679", "70f0636b14b9e3916a780d70a5c712e8fea739da", "41562c2982e1e32acd8283571c7b1f3d6bc36fd3", "362250566948f17693b737122fc1434173982da8", "06680961e99aadb366968e5f515da58864ecd784", "2c98165dd72bac574ed463b00f1dd4c276808cb4", "b61b4eb2e28b9cf35578498e1bbcc35ec0a07651", "9cfdd2e9e9e084e2cda36a41c197571270d7f1d0", "9c36f26a914b76b0f95d42b2ae442af61e5d11d7", "3a165f7e22f0667b401cba1b2615048193781b4c", "06cf3f55b2bd959d9228d29e1aa3e71ba7cece94", "0da8f43b7705116eebdf6f828c82046c8f63db2a", "97b24c34114730ef556737800912758c5232c47b", "ccfebdf7917cb50b5fcd56fb837f841a2246a149", "6d33cfc76f9febf45a8ce9ca4c78959340beaf6c", "f38d09b11a8f6853ef27822df317646b70af5949", "2e384f057211426ac5922f1b33d2aa8df5d51f57", "3ce92cac0f3694be2f2918bf122679c6664a1e16", "a6ed433eeaea37ff86e31e012d345dbd31eb2356", "576bfffd7d58a9c70ff73e39033f31739e6f09b2", "9e3fe7f7c125ad60fc1018bd515c6eb4a9e76f2e", "ff47201a705dddbf35a3589fad7d04a2e3e4602d", "2f000034f040f6a23c756671477f5f573514af8a", "7c0773c7578433a2277e919ac824f142d5de351c", "37d969028935706c3f1a3200a6d7ec25ea3b30c7", "5fa35645a0fe8f5e081302238a70a1963a1276d7", "2ab9c36e19090ed9ac5295b3704708bdce80462d", "ffcbedb92e76fbab083bb2c57d846a2a96b5ae30", "f19f7bfccefec7d0e2f8adad1e718d4a4b7d31e3", "c90c51357ccd50bc1f2976cb63a5b7077feef4ad", "76ff6a68d7a8dcc12b6ba68e914294f6720a466d", "b56ffd4b244b2c3094cdb930ee569fb4e3bd95f0", "c3941b5074a3c23ced4b3ff598653724ec7007f1", "bb21a57edd10c042bd137b713fcbf743021ab232", "e5687f9584deca1fafb68b50fa79b9fcfbd1d379", "a7e5c01e3dca9284f8acffad750cdbb29689d3fb", "2dba6a057b7e7d14fc6fee076ccf1d22506be54a", "519a724426b5d9ad384d38aaf2a4632d3824f243", "3ee522805e16bf7816ec4abfaf0c7648b5cb5c95", "1ebcf5dbb37fcd369530b0ee4df5d4a60f756f3e", "a432ee5977443b5c29001f4bd10c6303cc364d4d", "3cd9411181cd4f12798c64f0442c199cc24a56a7", "d290e9dc6a3670b218388406dcd0aba33efced33", "769a897e42bd131983ca641a698b1e3c85b19d0d", "65a858ca95dcfa032e812a7f1fc7ee5bdac88f5b", "57c36f13b188816051a27478e2f56bb284f4fb13", "2b6c031c61b78a9f9ee958d291d29c8ab359404e", "1d93f7de9f6d2daa77d844dd928aaa1e699ed312", "a01d22166ed62f5ad485ae32827c70d583a88564", "33ea400ca2105b9a3cd0e3c7c147e06c2d3c6d79", "b7c2173668a4c23b79450111887d8b1e4199f89c", "93173b854598140ce16f5d3263c5e13d73dd3e37", "970e723404885e94e77780766b39ee951dd7abb3", "ad08c6b0b42db6d6ba30387d558f5e427e39b7dc", "3b99c007994340381b6a2ba15346ce03c323b523", "11deee1b9e199d1cc0d07d4c4d9f888447e19845", "4dba7e19e2958d8ab75261219747aebc675c6f8a", "040033d73d1efe316c8f0a8ed702b833a0550d83", "e3f0e0dbc8e14e3dfb8fe9f9ecf6dab2c4713823", "8646f22a46b65c2018bc39ad3cbdb939e788a1fc", "922a8f36112c3f484df7161b334bbfc78600afc8", "c3f0d5ad2104a27d350560e1420f561374413793", "321fbbe7da848b602f376219ed9aed6a7f4b7f57", "6bc459c548bba7a04e2e255845b28060ec390407", "672865c2a60921efe15b6b0b66bd0fac460f8895", "88e30a988d4a496d61eb241d4cafe5cc88688ae6", "a60c19b131090b00264d2dfdcf8146afdd3f968f", "e903985eab4571c0a1639a83f145c52330c82a2e", "779f67f2fe406828bbe7a19e8736cb5fd309e321", "9adc420f1f9c97fc1fb7975447fdf244b061bbbc", "5b6c603fba0a66fb3c037632079bdca82ec3bf91", "a353d425a602d04f1dfde2142650fe0fb5193159", "6b011aa54aeabae8ac172a0cf0dd4333d1bfd327", "75c3ba0c7e5b0d4a11e9d2e073ccd02ee688c0c9", "3d740c4f2246ce8e63d0eacc2cc1a5c31259e9ee", "6cd557019b7775d8647ca31260734c786fdb69ec", "af267b44c3ae6c2a0587310021a6180962e835d6", "a45ec977363157d40f4c57b8c98d7aa15ec6fd7a", "ff643f726e01ad2955d6df752fadc95a1140be78", "98c7a6210ca7bc81d2f7092ab28451f47039e920", "06fe63b34fcc8ff68b72b5835c4245d3f9b8a016", "91fe43fd76571513c8caf3aca20a405f5d99f3fd", "000a83a533f9c945addce83e466e308df1ae79c5", "1e5f33a4843fe609aedd060c50278d0d62e0adc8", "76e8fd009eb7e126af8de59953b1fb9d3d841800", "a04429934abecd22a136fc2e1a659ff557f7cd84", "0fa42d4478b514b0f961e26bccbaf2b75d42e912", "79f9a15b4e838d6db91249a85d72fadb07aee927", "aabe235a028a4d533053d78034f85bea39690d4f", "74e537ee4061aa64278dd59a4d135f83f1b8bb20", "0657da204bbd5f1e92882b2ccdf4f883659ccd37", "a7e274db8f1389b95469588995f18c1c42b62534", "f571fe3f753765cf695b75b1bd8bed37524a52d2", "34914e7a76a35890e6372f8e313ddc662b653da2", "2def47989c6f9143184b5eaaf3aca3f2833f3e05", "423cfa55a14cd92ada32245b416b587ef9c29308", "eaf356e0ddf7701fa3d52d5159a78202a4866296", "b0a96954377390e80de59f0063e5703a21391eb3", "2b285e5eaeb7a2aa7e37c5ae6762b838d3742b4e", "82a4562d9ef19aec3aeaf9bd9f0ac4e09bdf5c86", "6c4d5ac0eed17513e3ceacd396526b8ad6c8fc09", "0cbf8aa9f81f49d1e304238a72cfc6564d4a36fa", "506e76681d02dc3a3748e326fb57c4e4ab66778e", "540502d954529b37bfb2a0944126c7c4268ee39d", "1630e839bc23811e340bdadad3c55b6723db361d", "7bd837a934c6cd6ee858bdfd4ee0f8fa3663fed7", "1d99282d00f7cf3e4d912428313848add8de8220", "353020020597c01f47e59f9862dbf42289e138df", "34f29a2485b003614f7e6a4c42dac656475b397d", "55dcaee65936583846e8c4fa36589df066ebadfa", "8ffea367dbab7ec446a202f39120f5b3769c7f91", "480040b64a972bf51f8debabc4f9421fd2c7b829", "7175a0875580d511ce7db54e183a8f4bddb97dcf", "63b20102be65bbb3453152e504e79c2af2eb9059", "6e99832e265999194aa88958d892db62afbd7ac9", "a53fe4347da39dcf61ac37cee66c945e79a5052e", "140dbcb0be3ce7961ed551f129698e9ad4c9aa8c", "3a95bfa1d4a989b162e07fa69b85cb6d31a674ab", "6bc4b1376ec2812b6d752c4f6bc8d8fd0512db91", "76fe2c44c1b803425e609b8d847733fbbddabc0b", "431fc5903ab4853820eac6614073c5b7aec0ac31", "01915181692c821cc5a0a703047bd5b07c1f9af5", "3e59a900cecbe5dddaddea51f97fb7d12d99b44b", "8ff80024836dfee9a6a9a38586aed3e3df1d7a43", "0bcde128b115af74d0986306184502ae7c8822f6", "8f0bb07bba345af8e22bfadf392660ac26e821e2", "e3b5a83120889063183f227be138cc90ee6bd64d", "18dd8e04ecb5421b13aac39c288cd8dc3a541178", "3b1b94441010615195a5c404409ce2416860508c", "5dc452b75efb033501e9baaaab468b0a8014b86d", "1eb249b515f7c09ae2663c1b5c49243906aabf22", "22029de24dbf6867658145264f36b161c40a09d8", "afe987d36438efaa2b5116c444b5fc47462f11d9", "bd4e3d9303fca21cf51c88ae1ade73f852beb9f3", "0c60805cd71725cad770db897801d149a97788ce", "a43c3ebeee65d44bbedac7548483485a14eacf52", "77ee5514fa266c172502713f27d52444e951d49a", "312ce75c7b86333a03afc2cbf8f53047f7eab3d6", "3f3ce530fe7e75c648b6959980008b0b1f99727a", "4c60b754ead9755121d7cf7ef31f86ff282cc8fb", "553ffb04c193eedde286c944f4816d46248d9822", "3a23697c709ef341c685abdb24af52753974871e", "30a14aabde46aa236a7b437a4942a92d417f3653", "0bd949f948f8f7afc0578d23d065b36c5c03c509", "0d82ac80275283c3dd26aca9e629ee6a9ca8a07a", "54ffc4c83974d5915025f80e54e350cd30ef96d7", "6bee77418af305d632b21eb03872a0d268eeebac", "499842b3df387b81dbb2436c764d22b1a3f42cae", "2547607a98eff30654994902f518e30caf2f8271", "d492b06c4eb8eeff00e167b2365d60d4370bac0a", "146e6504d473b92e56108b7276d96aebaa58ccfc", "e39d1345a5aef8a5ee32c0a774de877b903de50c", "361367838ee5d9d5c9a77c69c1c56b1c309ab236", "58ef0c54f01073e43ae5e9662f450002540355e9", "0f6911bc1e6abee8bbf9dd3f8d54d40466429da7", "60ed2c1acfddd02a0c0361366fc1a913e68946f1", "00cc6b9ad1aa0bb6c170eca1f2b8df2a7e249338", "45556fc103f8255cd60ce756c6f9ecdaac3fda79", "dbbfb8ab9355d00ec3b2a9be12747e2e20458bb5", "ae7480d4fee5b5fd47bcb8ce37395fa043ed3356", "00b0ea36d426b35994b8a586a18651abf1dd1f93", "18a7edd0bfe5a3d6ceb4d2053081e479cfa1e920", "01785fd8588e1281656252b8a6783fffab9fdebb", "09c5fe448694eea3cf3166ccccb2c81048fe0601", "0d6765cc4458d7d25577776aa88876240dfc640f", "4a19f6545473363b16d4a10ed13fef29b38856d3", "d3008b4122e50a28f6cc1fa98ac6af28b42271ea", "f084867370c76854cc7f3474c9a1f3e9bccbdb7d", "159868d951834e4aafc1aedf418d6b975d025db5", "fdf31db5aa8cf8a7f9ac84fcc7b0949e8e000a41", "cce060843cd8f920903cfaff6216218600a0d0b9", "e8327930af0c719e3084d0ffb284704888976515", "3e56cbce67d312af2b3a7d0981e9cb33d2236bea", "21ac5d1c34675bf6056d2670f9fa3dde530b1716", "81ec47297e44a623029013a92e4510d504e4a86b", "33c050241a203601b1e64ad45415e24c455ba7d0", "4cce5a690decc1d81b41975bf88eaefef2a71222", "515a3436255c6750e516a9872261442ba13a0a78", "255bb1a38169c7b78fb4da747cde18a961755d7a", "429b8d5bb05e1a580fad0222b9e9496985465e40", "483ca50670c5f7d33f7c722dd71105327a30ea60", "903f8670d13237328e0a0f9f655b8f534a9b6651", "76f7664511917bb575081ad3555e383de54562f1", "bb30cc05068067fc33d34930283bfcd9ad9b411f", "25d35a9153463faaef9413c26db598f36755735d", "7f7c3a99923549601c81cd5e9659ca01e8a42f47", "094ac7510d1723cb9c2da01db47291322aa29025", "5e9e3afeea446a2ae19e3a8e0678f08b73b0b36b", "c2fb2cb5487ad404b8e66daf74198496c40bef32", "e1660c10ae661cf951602232b36047b19198f599", "03016dd2ed29f1d8c090fff88f2cacbdb03da5f3", "35f6e4a61bb3541348300be3347ab56d0be75744", "ed02b45d05e58803596891d660837c21be70a0af", "aa8eef836b5071d0d892deb546ac9d6a0d747bc7", "36597e65169d576d0a68dca7023c57efcfee5c4f", "4091b6a3ab33e2aa923ee23c8db7e33d167ff67a", "59cca46a0442fc6bd0525e5f13cef5b5a9747d34", "cd6c2ae00157e3fb6ab56379843280eb4cbb01b4", "9004a833c65b89c88d2f50835dc47f2319a2c3d5", "10d003ba5062c048f0e324c897f849b0c9bc2aab", "1dea8b1bba7f12575049d92631706b5999d6899d", "67a6bd37e91f2c334b1092fd9e9b16be93f82377", "8b724754d7c7d7e5f98c1982b144fddb66add843", "4425df6cc10917644c44a7f4177a5d7cc1c8b7bc", "4ff7f5928f96ddc877b4b8675cc41cc08f4bd561", "913e85383c8bcdb53a55be8e4ef50814b3193417", "3dc6f72bda1707e6a96174ff943991bb2b7ff319", "f3e2fd2388c33b09df32c29f381e71b48dc227ab", "8cd6095bce5e3c6239fef7dd5462842afb0df223", "e55d5dd7d8dfa8f979fdc0769a209441ca04c96d", "8dd167b3b6c039e5fbc5098076fd88792cd0374d", "1a4bc1821e32acc3a2a8dbd9774b8d201e9f11b9", "f31b271bd0d17fd4a2ed302c3bac6ae4f548b180", "58c3e04e8105cf8f2721c4a4a6487db752bb8852", "2e3c893ac11e1a566971f64ae30ac4a1f36f5bb5", "45d6323b4256a1cd11189141dd056525890f76c1", "6b1f12995c88412607d8c36b3d5b0aa6a5cba7a3", "ada53a115e1551f3fbad3dc5930c1187473a78a4", "c5e4467b5830d7dad4e940f0766ae728f22e38fc", "7710232a3d8bb1ef4ab0b5b6042bed19380bf0de", "a3825a14676c5f88478af2cd254ba4c531d5e92c", "6c510b56b468303adf9ea2fe94bd93d98347f07c", "4b7d5b17c0daa35f682417c32e80022c6645dc7f", "e06f94ebf10b511d121725c318cd289c55349c2d", "d196d3ae94972a67d8298f5c11d1a63f1d9bc3fa", "de59ee5e56443e581e896eda47a75a45e7f5dcf7", "8627e6ccb42c909b5c1f94304af986472effb6f1", "7938d26e7681048690c917b67e206c1b8ea3dcc9", "debe5f241a678d40b0457d448710d9a3483787ac", "d6837519e7f028e83140ac2585fe84ebe4aca18a", "52884a0c7913be319c1a2395f009cea47b03f128", "05f96b4aba7d2cccd9de4c227aed48dbf4030a80", "996ce2e3c1b7d0b37a1d18c24f48b0aa3d4ced6b", "3e5321136cf8007c98b77c1d5a17823deba20b7e", "18fe5b96b620454baa5342ee6b8fb2908ed22988", "1e0dd12f2bff234a4df71641bc95068733506858", "0687e472b5accce40299a6dd109c38e4167fea94", "bb6f922cc6f94beacc93aead7af53e9bcb9fe3b4", "6f1be86c77492af422e936028858c9180b52b698", "833a2c168849697aae3589bbeef0cbca22808fe8", "edceeaa885f3eb29761580095059f8a34be8408b", "7f2061fd27be3afac4d020a87ba40fded935a97f", "3b1aaac41fc7847dd8a6a66d29d8881f75c91ad5", "50af3b6f7192951b42c2531ee931c8244e505a5c", "b2dc7244fbfac36d5df5c2c74de9c170aa7c8f1e", "349c50a22c9f5b46f4ed0f03912706b2c9d484d5", "47b34a8ad5100582aa7cbfd85df3ca7659adc392", "76b39ce25471d18f32b5b016833f6cb88915c844", "17e769ef3d86e74c21f2616c7f7a6f20a4e2fbaa", "20717f1cb12ab208458c0f2505b237d8f061f97a", "f5440f03e54a2e8e5b698a9872a6f2968807c446", "6365b0e06709cebaf436546820176f4bf68689f7", "355de7460120ddc1150d9ce3756f9848983f7ff4", "a08004ac0fac652d92a6c8bc6d7629f344db4d50", "858adc1499e556dd4d2c65705dc62d2e3592b3bf", "a448aeed546a13cad7977dd0e8139f0ee43baed0", "fd67b9812fa4aef6c5dfb633df4406105cdb4e8f", "b4ad2bdbf82c8bd1454f6d743b956bcfbad54101", "ec443db55db1a6721387b2054b94f6df020994ae", "03184ac97ebf0724c45a29ab49f2a8ce59ac2de3", "77fb0266b354d33f3725629c2ddce3d2342b318a", "1ccf5670461638542b32fc7bd86cd47bf2f9d050", "c6a6906c9ee5b6b4da5b8296650a8ae9eb7f74bd", "f90efe7d3d6eef4fe653343442163bf20495b5aa", "e344cfff1ec2a46e230983157ef34efba5d65340", "2c71d189e131d8a0b1f832202392b83b31ee2818", "e1ca483bf02befe4a15f6a4b7d8a3d7f39cd1d05", "b67e0ae9d64ec06b3e1c25c7f7e8b86020612d33", "0a24b6a80ab5a73df7e72e30fb76b0d11ca4e79d", "70e90b9df5b8617ef6636c5492db727f9d48d0ec", "c1cf510bdb4a097426bd95c0c2e970081d3e9ab3", "bb4362bd6f0bc5bb467fc8f169723243caa97d1d", "127316fbe268c78c519ceb23d41100e86639418a", "205cbac63de77af22e003c0c98c1a4a351747708", "de1216664eb86122f31b5e072301b2fb7f187251", "5f0facd360d54bc0d532c90ec2ced4c54043d15b", "00f2ff5aca7737f2ddf67d4621fa4df6a951b0bc", "db625c4c26c7df67c9099e78961d479532628ec7", "3b5c8c04c9c640faf7bd7b1df465a8f6153b711b", "0700d9c983b9c52341a4e17b70bdaff59cb539e5", "d6b8a1c74f1c7b317188c8309b8c2e72591b4a83", "e1529efdb6e48ee550bf65407ad8590ac2099b47", "3162505b76ad387de62ec3696ce037f73c60f118", "448e1e7a993837fb3867ed15dba31d5ca1d526b5", "f31beb62d18d8ac7544b4658cae1d2c7730520b2", "1151a81118368e7596843b8db2508e4974fd7435", "069f2092c5d22e6d4c1e27c30e18dc63848fa3c3", "52162b19e058f11b5d010f6b9f1f4944ce8db3a6", "1774b5a76d139a5532284f797ea7a36318bbcefd", "93017577a8070458bc2c0a91e653fba0773466d5", "10cb43143c3370e54a4e365aecc29505ea968bec", "a35338cb4686cff66710b7f8102e5eabfc38adb8", "7cb241d57f0f35f941207f5b302a8681d92f445e", "541c68e2c65f6dce6179801c9f92dc7803dc71b5", "0a3051c8dde80975640d42dca21fac17ed60f987", "558c4917dc9a1d34f62c0ab713b1b9a37ad04853", "7573ff84d71de19fe7d387bb4a6de73cb28402f4", "03b99f5abe0e977ff4c902412c5cb832977cf18e", "91b0081a348d182d616f74a0c9fb80d56acf4198", "105bc5bde56723abdd3979c7b9adaa0a1616520d", "dbbdb23bb2512ef0922c5396cb95f713257b6ac8", "4c4f7ef4cc9efef2465e9fe6b7a6fc8d92fd8d1f", "85ffbcf7ab725d4cf8e2e78456ddd68733165027", "20e4818919db0176c6c2ac30a468249ffeaff151", "ff65e3bf34e892ef75d91c5e3d7294e0b64d867d", "684114d3f1405efd50ed9a59063936a1a7fdc970", "d647c13b55a8c8413dd470b376fb92da77955dcb", "7245206cdf02e839fb91716d684e534c62d0b712", "f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5", "256cca1ad1ef681121bc617f32b5f4dd96aa8ac7", "9d313b105b7b5b77599626077aa6f6578f556796", "afac56d8272665c445b7fb6b31541b9dd578455e", "5f943f9bfe3154fbd368034903ea11620d2946eb", "e09c7bbf1bef602018928acb395f09448a0366b8", "0d57d3d2d04fc96d731cac99a7a8ef79050dac75", "b6d33a07d55688b5a0478a0a44f8ec905376f37b", "8df3bef321cd1b259cf6fb1ef264a2e885610044", "b975049ea8f5b476f468f387090a03670ac8040e", "73351b313df89572afe1332625044f7e5dd0ce06", "6d55daee74b83af740d7e4c04a404e84ec1f55d4", "01c840aa27a6c234c0e55e9a5874719bb4d8fbe3", "a00a757b26d5c4f53b628a9c565990cdd0e51876", "dea949c10dbdab5b95dff6220556b65a1f7f1206", "6737a429dd615a0d9ac78d836c6b65bfd9ec36e8", "87363751b8e3d51a002dea6d32df553ee5315cb7", "0c3e08148c1d2e66868c2e96d61ac5c2aee2dbb1", "1bcc4f0f58848190ae0b2098eadf06002d5f70b4", "72ed3be320e435a1dc093c84071a22d3d64fd997", "f929915cefe8f581e3425c9d94639e25771e759d", "81b4f1f6e8b993a04fb7e91842ad39691cb9e4c7", "a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64", "113a31b4c58c613d5847b0d4b9890795d33e9189", "d246b50b99eb2d2f1e67b855e059002b96a64f86", "be35231e0240eedba8b513fc6f48a111f9e2bb90", "2607f0093fecd4fee5244d56fcf3f53ff22e949e", "b5447f2addbd8b7ccda2cb9e3084cb3fa1d876ff", "c1c8fec3f30a3708dd146ea056d54a2fcfdb5880", "25e8788388173e054faf32cc79de5b2fbb55a792", "cb1214e42fa81977bc21f4b3c8e194a9b68278f5", "e00e8dc033b7009eb70e38891ee7e0eea80402b0", "bc7f431c4c5cecfc7bf95b2f0704d81469f23580", "2e5ebb2ed819b97c6c54570d684576387dc55e93", "691275c189525899271b448041de36c4932deda1", "7c7a23e8e846c1e1a6c63925d73d0d0806a040ef", "00b03ee4a7e31a999715d7a0c31d283d646106fa", "4b8ce1bfedb285d8d609d1059dd0183420d63671", "8e67f2e8b15a1b0b6b0fa1bf7ca6a72b5d0a51e9", "5f54f38043ecba3871fe18529c89309267132127", "44ec89df8d9f42e323ea90599f23ae58e3a8925a", "760a8a46089ca9fc7d06ea44b207b948569237ba", "738d5a6491ae0fef5d2debc17f951534061cf6f8", "6a14652508138fcf0aa8c518109165f65c88fd3f", "6ada03f390f92704f3df1556846697c54c00f7da", "20e64f44ce2977a4dc5099fce6f73842613f0865", "adf9998214598469f7a097bc50de4c23784f2a5a", "87d0c3359a9a99fddfbc5a388e211762a79ed5d7", "48daba0289e036c5aba6e360377b72ed6dde674b", "b352bd38298608afab5df341857313c146c1418c", "7256160e8884091f6024a9495291bd0b10e8af6d", "4552dfc16a89d1066051b0dc7ee888d0873d2793", "0b48e1bd69c5b87f197397f933ce7f5261fa00bb", "59138911e0526dd1d8c5466b2793b6bb02c35ca9", "ea17b634a272e78f89460f513c74b0557777868b", "f98cbf32989387733529fa4fc943f0a7e97b5c07", "e4ee8e2fcbdf2b65ca39c28f36c81d4c56b82d0d", "215f26774779e260087c66eda49e22429619db94", "3e309126c78261f242d21826bfac37412f5437cd", "73ec2d5a6b4bee0f268b793ff646330507497e38", "18fe8a42cb3b7ce14e29a11faa3d7cc45f1be22f", "5326fb54202d535b210aefdf396eeefcf7d0ee7c", "f30860a38945ebcef57484a977937dc0294d0ce6", "f63f754ff445a1651780e58577bdd5e823847146", "c9811aa6dd338408e3f4eee7459376a90c2def4f", "84908a9162b7243e70bff6861d084813ed011f0f", "2118b1ce0c2551e75d30fb6ba24482e50b319a90", "8d559aeefb291d5b017c263a49f38e8a28439344", "54dae5187de3898d8034719bcaa3e0100ae72d76", "26a471a491c2fb162ad403ed932b481d386306c7", "3701503a946bbe003e060859fc5b71209991b0a7", "10a285260e822b49023c4324d0fbbca7df8e128b", "ff3ec3607b77a1dbb685cf90dd23a273d622dda5", "1f436aa4e68274037fff44e6cfbcd0a1ee3f60df", "7e01ce7a1c14971088afa3ee73f92db451e2c536", "308dd9a212f0528f5bad80c0954db4b229576cd5", "4bc821ff7cc7e4906fe7c4f9f1d8f180a0ef3e18", "0c8a6fd107320d5d40a3c5bdca1efcb4b8f774fb", "36c31db023db39d8ba3ddaa42e23acfdff5c7530", "68cff7e6aad5407f74aa4e7a11ce4ff0102eb7ed", "e06d0d7513a42755ad8b33c21ec4c1660f5e0cc5", "8def62fd86b5ea0a41fd9f892bd95b01bf072e88", "d89f17c77369b7a7148c77ecdb2e1fabf90e650f", "36a95f1a9fbe518427bbf33293488c71161313a9", "73713880d4d1ec4c8f4608a94f67ea9e9f9a97a5", "5a5f7d39433d68059e513b947a9fde62b5d4d3fe", "97d9c57576a573955c1b21b63f5b5ae44438e973", "ea2772e03af15b8387f2789a45a4e1d197b13f88", "265bd28d8cd20ccfb73a5aac6bb08d417e7823a3", "aaa29212a3f9e6a35f78600231a690b4a3c83fd5", "900d5fadd4daf867dcd90929d0c2c31d5976d13a", "dea749f087a8c9a9baa9167b4eaff50bd3eb9d16", "0b937abb3b356a2932d804f9fc4b463485f63d0e", "f187b0ed2224b2861442a73ad2966c1789afc09a", "07adc7429fb22352946b675023df7db11c905701", "5fa08db02ff78d8f5d2a50ce92d30af811eb7d64", "5b35bde1c144cbc96f25c5359ff44e898191dbe1", "0e245275cf1ce11d47291d0930d9b289cea9cc14", "32b7b671c786aa74f7d8f9817b12b3a59c0b84c2", "0f96eee0407b9ce9ea01629ed01bcf6802f97272", "8297204fb6188cf3750154d4ff9855f7973b0cef", "e1e2e32f29cf7d23881e98dfe018d9049bdb070d", "19c0e8f6fbe49b0065039ed7b23da3ef0fb9852d", "6ed483dbd967c035976830e65d0cea4fde4ac14a", "05bac1f503ad77b095730f3b55214f7785b3f65d", "29d10748dfb3bc6883dae224bc4c6ddf774bf363", "4701112bfe9946a97a60c2bbb2d47dc784942c3f", "9f9a5cf4e84e99edebd55b2c160cce821c2439a7", "05fcbd15764437c8d185c79eaf5cc1683f62dbf4", "08ca2a2a543ee74e2bd6585e0a059b30aae65d30", "6f4a596c80b5ccaf44a076760761c4f132920b11", "a8d3dc5c68032c60ebbe3b547ac948d7cf8dd1d8", "0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e", "2d1a072e89f97324cd5ec8a8235ef20d1bfdd70f", "c2be88c6d99605abca7a7377935c8809eb8d328e", "a96c3b0e4ba2949053a9e1e00751b76ef5b05816", "155448563c354b01d12610b5864b511644cfeb27", "6047e9af00dcffbd2effbfa600735eb111f7de65", "070943ccdaeb3ed97c89d729d93fca6f4e7631da", "11f476a5da2366cfa6e4b4e2654a0833fa7d4fa4", "47e2a7ed8df51ae1a89179a22bb5995296eeb8d9", "0cbe9732bc80761d7770e952275d5757b1acaea2", "3f1ca715733c617c96a5d6deeb76c93c710d082d", "ef8d42105b06d2bb06b2177921a6415e44d5a90d", "3afae8025cf543b1acfd3b8955b48bdc0979f303", "6926b84ca14eae7c5c899b7d66c4f73617d92e7f", "52b0104a43f55c5652001c06dfabfc4c327018bf", "06554235c2c9361a14c0569206b58a355a63f01b", "dda403e6d9b61e3fa84fafb3aa2f70884d03a944", "45bc489553c41b489e29c4f538fa554d9009151a", "2ec55c3fb5fa493ebfacc58115cf28f283a50a02", "664e3e84dee394701241ce31222b985268ea005d", "a32ebfa79097fdf5c9d44d2f74e33b7c8343425c", "2057837e059a1dde8c6c4c0587e652b79c04780a", "8531b4fc2eb467c3ae359017e85b25fac905111f", "b79f3d9f8de4d1cc6679676146a40d2a8596f32d", "d881a59d00971c754e02bfaaf4c48ec6dfbc1343", "34a256eb89fde78d61c2184787f5c3183dae49cc", "8a565aa547e2bdf278ad3d1fce1f1da8e70c38a1", "7c02a578734af8008177bb3f27549198b2503178", "f867cd63fa18da1c52061ba22954ee9d138906dd", "56d162799d5e004723341492f776399693d76433", "c6054cb6e6319f8e79aeaa3e9c6963889458e0bb", "a7e78f80e0e37d0c17bc09058c27996e32e4454e", "9d6a2180a5f452356526edd8b4833180fa09cb3f", "e33b1833b2d0cd7b0450b22b96a567a59c9e4685", "558613d96d7c125c00eae0c58c56ee6983208fd5", "95a9e256c8f8bbce0d86199cacea92b15004dd45", "86be567bab1293ed847979d2c56a662fcbcbc1d5", "996ca49f17757a146c0ed4eb4e122ee4af200e06", "218595e1979007ccd6b1bc5a30a3484841c0eafa", "c2eed73654b544a705b194ade58cd82488c6c5b9", "049584922a6bb15ceb25fa1f771f834b9befbcae", "8656567dcd6917d144572d5a0730726db2b2c472", "d6b1c0c2107abb01ee4241963eab26e261510f12", "183c8da12a07e2002fd71edbabeca5b3bfb45d66", "0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de", "6c019f832dc689f8fe0f217534d8568ca3814c19", "47a567ef9d049e5775ffd005f9d74e6aab108f82", "110cdc88e2a26b0b88a0b54d8f646fa837e41554", "81be42a4843a2ff03e8a46368f77ae95723f9c7b", "e8ceaddf63c2b91997e36f062f4cff1e380db029", "776d4718b3643d30d642e6985e02dc9343b8ae83", "9bfdd57154164b6f9fd9dab52fb2679b9c7573a2", "4fca83b685a6523f167da5cbe59a51e6b09db61e", "30d4d6bf4bd09f5b5a4f3631aa1ef18fe07efef8", "bfa71537839a81a03569a702a7cdc07647f7de4d", "cb765693a73e4acf51fc1d78fc318d62a5a26fd1", "e270943b338400e624ed62c462ed882e4114de03", "b788f1c013c6786cd44d6f35682a388975058488", "27bd59baf9cc179e8218c65abd56229def1f83e0", "1d3004953fd521adc8be457765ec978f0df1ac60", "983bfb10fa228ecd1047ab4ac1d78c96448de059", "b92175bf063bd73cabe8b222268c153e4466a82a", "b0101a979f3003911aa867598a61ca67e13e0d56", "3e515fc01c28dd0e2c41efa6d277d036c4156aad", "c7592f3e2de1bbebc3b030a2247b006d53b2173a", "442258632b82baee92a97e8d48581121bd24541c", "60faee1263dd37bdd5ce99814c09f58fde58dcc2", "49b67c48cebb33720d0722192678723141454a57", "c2b89235176e4bb2573421f02e72eddcbb2fd630", "9d94ded6f0349ef8dd5bd69b2a3ad2b7c2b750e3", "40c72f5699f87db0f4f5505e6fcf79254dfd13bd", "095251493ac774df0a737bb8023cffd036edccd0", "2115d5046088f6c17cecd43dfd3342018df2b861", "d2ada7d9424c056cc555f331dbb23ddab84eeee7", "0b204afe26f1a73e9183c575e99fe37fef8c1500", "d7ec3c87dd6a4fac0a16f5ab6ff85eb2bb4d7984", "6f3c76b7c0bd8e1d122c6ea808a271fd4749c951", "03d51d9703b58521d718af2e7c4b75291a94509a", "cc3e1a6376928138dff5582b7a56d40cfb3b7367", "c259693737ce52e2e37972e15334cbe78b653e69", "2dc62458979dfc00ec195258ea8809077c5de442", "0ca475433d74abb3c0f38fbe9d212058dc771570", "44442a26062c20dab7db4a9862349b598efca119", "c00935052d80cddedb53da1ed042055faaf3aa1b", "688680d9902f688b9ac2d47c399ceebd1014d785", "95c3749c8b7a900ece82b3d5fbef16eb0c853112", "6d432962055a8c521e6b388d5a0a2140a0019a5e", "91deebce5562145bf8599b182bf9241f6b92814c", "b3d8438c23306909c04dabb4c2d12d15d82959fb", "c3f48742f951084c085ac070690ec2b3c489217b", "50b548facfb728af123befabd6e3292c44f1a8c5", "6e885d831568520aa95f523f625623e46578efd0", "01ef99054433b4ee53f968c652041183a0a931ce", "dfbd1f1392720fb3a2ae149a3de66ee53a5bd073", "b92f984f328851a5572e38ee816ebdcc515f2a0a", "b774d7c951b9c444572085e15f6a81a063abf123", "c397acf6a2876afe25bb07824f2d6030816cb009", "bc8cbd105f45cdc447b6c7cf2093ec6a24b92728", "304a306d2a55ea41c2355bd9310e332fa76b3cb0", "e25cf0b9704e8ceb346ea00a9e98a9415f0228fa", "a97d561583e93127da44c67315f8699b5c91030a", "bef4df99e1dc6f696f9b3732ab6bac8e85d3fb3c", "14bb9a1eaedac0e53b692031008bee529ff30ff8", "b5a8c7edb2ed81ae415b231b975c205e5c4c08da", "7ee7b0602ef517b445316ca8aa525e28ea79307e", "7f68a5429f150f9eb7550308bb47a363f2989cb3", "b1c7a6e7a28a33ba9c6d05d3fb02dcbd77ff3fa3", "81b0550c58e7409b4f1a1cd7838669cfaa512eb3", "5ca325182e134923de0bd59d38594479c551aaa8", "32a9569f90ee6254ca7e21116ffc0082422260f7", "7a09f2c222aba43649ca654761d37ff1b1eb6140", "7c3214dbf680131a871a1c03434bb8c297f9b8bd", "1c99c06f346fc035465c8b215e74f0ccf67f36a0", "9632509db75feefc1a6945639946122126ce5f64", "6d645c56ae493249bc6a4f8925eb686527ec82d4", "9ca542d744149f0efc8b8aac8289f5e38e6d200c", "08446fa15b2e8bd5bee06ef01c7fe2b419016da9", "7336ddab4a6ae0f8a3db4023e859fea6870e828d", "f8c9a3412f3c74ee4ac1865bfc1da3ccf3b2b3d4", "0e7eaa9e5602a20a2786157b8249964ca7e85eee", "dfbbe8100fcd70322a431bd5d2c2d52a65fd4bbd", "8602936e6dc8684336a5b9441293ec032e9fc351", "77e5bf7786e46e03155eda73c29dc80a1312d49a", "081c6bb197a3a593fc471aa8d24f540cd28b18fa", "bcc346f4a287d96d124e1163e4447bfc47073cd8", "f7e131796418a79ff38f426abf5acb846230708a", "3858e5175799b97805b2b70ff54e8a7e0718870f", "3e7070323bca6106f19bea4c97ef67bd6249cb5d", "29088f1c9cda9c4a7b75d7aa365aecea003b7a28", "6e87f48c283d4e7df9f8f69505d1c54714c02a17", "55ee484f9cbd62111512485e3c1c3eadbf2e15c0", "308025c378aef6acf9fe3acbddbfddcaa4271e8c", "405ffae3b7a7702e77418de5dce0337b0596acc4", "bc08dfa22949fbe54e15b1a6379afade71835968", "30f6095e922d56972e59eb181c0a950b5d52a04e", "fded99a29bfa03d02709dd23f49b04ce3840af51", "18f57228614b1ea0f42e1376a78b94222e81bf7a", "81f101cea3c451754506bf1c7edf80a661fa4dd1", "ae73f771d0e429a74b04a6784b1b46dfe98f53e4", "c0ec7e694a976ae1b9444d435614bda0006cbf4a", "0509c442550571907258f07aad9da9d00b1e468b", "63ada149373f27d1ded6df24acaa5871d0c3e379", "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "5566f5c364a3e9322f814d67541de0271a6d1b59", "462346f8e30c54a5211589dc99164162e4b1e8e2", "37f35a05733e11cd490897a3c6d906abfe5ce434", "4fea55f4b75633edbbf7889592959fe74afed564", "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "840f2258318d3e339caee706c51c514d156ade8a", "06ea877e7599c28d043fdbbcb6fe68b032dda008", "0912ea64eb6e1938c421566688b5eafd80d8f968", "b94238a31edc961d78cc48292c58f8fc39dfa008", "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "2b102276e1d22b517cb482929b8c58db88647d9c", "aa358f4a0578234e301a305d8c5de8d859083a4c", "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "72b619c805c2eb830c7a728f3c97af124807f7f5", "1e122a4f97da88faa0472aa2b0aa994779e910ef", "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "540cc9b479ed60065b1182a94c02b34c75d76823", "bb827b7e998f3f7ee944424ad783523025b41abd", "90aa877941f70307b57e07c954c0ff1fe4d4b678", "aaaead632a12b372a91ce2ca5810d98234a82a39", "712d25810688673446202c43bd3d872e72f75bbe", "c33f02a04c7a7b683480e126230a0487ee0a1358", "abc81655428a91d1977907c96cedc3539949eb72", "06686d25a6a7fecb201b428260636e2265f71238", "6c4d15898e48a60a70969ef7f42d0b8aa3d0cb03", "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "1fe2ed65bf8605e286ee04d51863e4a7cf8a167a", "865efdda03e296a5936c883b41c916333e008de7", "4085520db76eaf952a402d8018dee969d54dbe97", "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "be7f24d4b3360ee96f691327951a22e79b7068d9", "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "be21cd7fae28f04871ae69e5167fb676ee17a08a", "e7975261539329e83a4b404c0da177f78c00dbd4", "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "a685a6d034e32f86cd97948ac27eadf98d127c7b", "938dc97889fe5b00eab73b5a7a40b707c0cfa681", "d5d5a5f565b007967583dc18fc60ff793518bd56", "fa030e4b18e3d19336fdd406790efce04ab49524", "c229b92d12fc678c05db49b89bb333d1ff563cb6", "7719db31b1555addab9dacfc7afe9f17cbabad8f", "a8d525c513273b19dfb93ca969f664ba4baadebc", "d257a85d640e6e409f74a7074da078f343b9ec8f", "c451df8fddcdb3ab95c0a8392c82c0799817f461", "6b9a188848b7d482b308f6852860ca20124f0d1d", "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "1aded58a43338e651c00f2771d845b7a61b40190", "ce9321feeb4239ba69604a6b729abd0dc876f325", "0ad6dc4554fd5c0212993677c160af31fd27e243", "a959bb513ba066fe7852395c4cfe67d2d60a7493", "faf0fa6d706c088861288ad628f75ed09d924c85", "0b6256f1d669e6d26075e648da219dc7408797d5", "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "cb733afac3a9a17463645ceda19406a684a19883", "6282e59f5b40464df3cd66a8e7002b4645d4bd25", "782bec7177abadf8b8fd31392edf2477caad8a15", "4b04b2d5195cffa31a522cfded0f9c8aa3da2f23", "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "0e72248f06182700d743a5c4a8ebaea9237839a0", "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "f4f2d93b3de67f08365e4d84067694d27f6030fd", "9bb00be1b904d162a6d3911897f89e93987a8c90", "a023f0e18bbe770d9480bd0c2c4915b8b21c8655", "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "814d60ed249c62314d389e8b8cb7d6794289b647", "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "c68f3b6ab8782427cab32b474a094416e108c1e8", "94ead3662a08a3118b2958a5b4a168a4d034df53", "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "ff51b5c8503ffb397f2e27276fc32cd7801c8c9e", "aaa47aca53ccf00ad804b3f9702a1f647c5aca2b", "b88e0c3a6a95e5193085a258cd281802852e5a4a", "528c03761682f73eed7d736c19551856fe92b1e1", "adf420d3127121a3268c7229f30fe6e3a01ea981", "359742c64ed3700f021cc72685aca41c7ec166e4", "7224c8f554de5fd9daf803b4bf03adb9a981fd3a", "36d01ab112e0904ed59bb5cbf3a05352547c5a1a", "4bf455b329fe6b860e8936098d83fff246f207a1", "d79121a03584123fad02c4f2607f0e63d08ff7c2", "67f8af0085eb6b68a41bb2044f4ddca38b78b109", "65d588e2ff7b4f2903efbeded978885f7da5d0e0", "4387998d52fedcab7d3d7144662787152e212893", "5c7db2907c586f4f2d6ae5937b0dc0f4d1bc834a", "b285337ba61c2bb54181dbbb4f4863efe1aa6ec2", "6c8a7e0cfb8d41152c1b3157da612253ac45256b", "dde15326b39e5a048c27ec22a2dd3d47959afc56", "4f567a5f0a8ab016e17838990cee66e637fbcdbe", "3f50b80eca9d15b5626ec05062c48149e98ab3f5", "6ca21247f5963f6d459e09278812d60c35d10335", "2ad7100498f3e4d00ec4424099b90fddb659e972", "07098ec7f9b66ddeb21314fd3630a9e45decdd4e", "b9054aadbbb91f74d373cc82d70b7c513e47139c", "1b921e9a08cda8c495d546445c7ae5d0897febf3", "20be0f8992db53d3fe88fd3b03d9768da6e256cd", "947bd44270618f5a1b046b68f1ada3c11d97b440", "2e0eb98d045565978f048d1eebc0f0f2fdf020b5", "e4511fd8a4cafcb270df76e594017dd70806f29d", "582ec12e629b2efbe1aae96fd331404e7a9a855e", "6583e5e9c01da5d70a9ccba799fd53bc4ec015d6", "2ea46531f7d837c1e4b9e6a8d8fc084c6e526545", "fb67fb52b723a64da6b22344e5f92dcf36b263f9", "2bce7f8a53fb8ec93dd218dbdf55b48ac54ae8b3", "9a00aa841e631589fa5c4b3ac4107e4dc9b25f3b", "241b86d3c71d14b8cc6044a425b047a0724cfdc9", "93c3f187629edf79800c012e0038736d69fad90f", "009678c2034cf4a9924a78d533d2ec81303a946e", "9ebf3afd384cc9153e00f823a3d79507fdb3b5db", "26dce5da1b49488c7a25a8841637c97b66d4cc00", "56c0f83b7f6a3a9edfa9dec3e2ff65baef089d74", "8e3e61d1b14360bdf7a5c51b3be77bfc9a4823e1", "040ec1bab630b4609cb55c3e0e2dbd4c3064d8c4", "0dcff2dbf287a6e2937f495e1cd887297863296d", "b2d96d82d9504fa3e0880b12c4b1c048a7c3afd9", "c458e611c0606771b508c1a8bee4435e02ef0eec", "c55dcc587a53ff82cf3f79d84e7df67f4c8f77ed", "50ed931266a22bc166afef38f4b217fe9b4d5d74", "3d32f5e055d6e441d059b1f55b3cb3c1f5f85c26", "794fd0fb684f90704e108677edb40d3ff6a85f8c", "def569db592ed1715ae509644444c3feda06a536", "6fefcfdfe517e2e670bf345bc2a4fc2c52a9db35", "5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a", "b2ea00005c5c8a900ef64fb625b7e7b9f766719e", "128e58c0010637061d4d6e8320a792b386109493", "799629203a7055764380b12b0406b94653de325e", "77a4096c59f51711469d4a2d8936fc5ef62ffdf8", "a2cdd215586701c883dc3959c80f53ee5c091fe7", "36fa002f36e14ab7d24ebcdd99b6589ed726b383", "0f5700e8aa4cba32828ca12cd4e3732a33148951", "b97cdc4bd0b021caefe7921c8c637b76f8a8114b", "07faf42fe021a0965a07ef7273d89a452aec6b90", "745ec003b7fbeb52aecd00c41ac889fcd4d88bcd", "07dba01398404a8fcf2c78158166e1d51876d933", "678b367b2d5250f278c994238bbf816098252d9d", "fc27c2c8a2486f5918451fbef198f46b5bf45d2c", "3f4377109a92cf4e422b7e2ae95ef3144323ea72", "0af15b37d9a24c05df92d9004d11f78fa69b00c8", "bdd85b0db321ed22a3b2dc77154dac8b3ec3ad4d", "6b4da897dce4d6636670a83b64612f16b7487637", "1a5d52e026f877f682bec19d0edb81aedc6e14a1", "fcba7fa09f8bcbb203cf09b149558dabbfc47d13", "315ff3853dd408b765fbf83344974eda9ac37705", "2a56a51490f6ccfaf6fcbdf546a5515bef5203a1", "3f0b5ada4ad2090e788c40a8f6f33ed4fe539eee", "a33c5b508c64d1b01f3d4567835de6a4242b6911", "ca8b529e389381c8b51ddf83788b7a3eafb8f859", "67610fad509a008cf8e9e47b47cf8468b4f0a5f1", "6cfb2876161b21e9de46ade1dadb7779fd1ea7c7", "456ae882c62434974448c37086b01fe707e04f5c", "186370ecc1f05ef8d3f611873a039fcde3af68b5", "6245c9eac2de0a8e63ea658c8fa1486ece855d8b", "c12b241a8b6fcd28c6af8ed11c3746fd2a6fca0e", "fab0d19c58815eccb0db7215fe45d6a32066ca1c", "5481464c7058475da126796df43c6942ee12c11b", "22894791cb1e139177cef3fbb1ebda417a4b549f", "277096c5e536784da9856ac083a972715ce9f9c3", "a8896fa513ff0587e2e8dea0f3ef585d4d04feff", "9a3fe4631e8507e3409631d506de3cbe793f0b42", "6ade1e0d4744d2eb5bf7bab97289ffd7eeb5a661", "842ad1d5b6ea8a982be544b562ec91d907f879bd", "20a0f71d2c667f3c69df18f097f2b5678ac7d214", "4eb2903ecfc5dee98c5671c9459bcea71c59c79d", "eefeb9dea84320b1d9ae5997a2368516f42c2ce0", "66bd4056cef30b9d1e724c943b1c5ae959fab14c", "093b6af0e5f00f9578088a49822d8d500283cab0", "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "587c48ec417be8b0334fa39075b3bfd66cc29dbe", "5343b6d5c9f3a2c4d9648991162a6cc13c1c5e70", "616d3d6d82dbc2697d150e879996d878ef74faef", "9d8fd639a7aeab0dd1bc6eef9d11540199fd6fe2", "d53c5a974f9fccf18f3c8f7d73522d6ca7162115", "751fb994b2c553dc843774a5620bfcab8bc657fd", "1db45038ff49e4220a56b17a3b255df1c97b32c1", "088aabe3da627432fdccf5077969e3f6402f0a80", "685f8df14776457c1c324b0619c39b3872df617b", "07dbf04089b015db773fe95e664fa73aef874b36", "ff9195f99a1a28ced431362f5363c9a5da47a37b", "fa08a4da5f2fa39632d90ce3a2e1688d147ece61", "cbaa17be8c22e219a9c656559e028867dfb2c2ed", "facc086712a0255c5634c854b9d0ffbc3be6a6aa", "ad9e39cc49c41235740a3c8dca4578d73e9110aa", "a35dd69d63bac6f3296e0f1d148708cfa4ba80f6", "3107316f243233d45e3c7e5972517d1ed4991f91", "b498640d8f0ac5a628563ff84dbef8d35d12a7ec", "ada063ce9a1ff230791c48b6afa29c401a9007f1", "0991634b6b7f5b5d7045fe859c24ccb46152251e", "9a7858eda9b40b16002c6003b6db19828f94a6c6", "7957b73dd2ffc2b7d269cb0cbd442a0d5651cd37", "bcee40c25e8819955263b89a433c735f82755a03", "4f3b652c75b1d7cf4997e0baaef2067b61e3a79b", "122f51cee489ba4da5ab65064457fbe104713526", "10464196584476a7f3d887fda42444d08f5f8ad4", "0b6c10ea6bf8a6c254e00fcc2163c4b6fc0f1c3a", "763b5765f7c22adfe2baadea8e891562063a68ba", "333123d85fb8142e5942459d8000fe4db32829f5", "6b5cf028b9fa3191119067f087b189d97017d31f", "798d042a70b2c824998b3fc39a6e21799b588832", "034f7d5b3878f8b2db92a7cb7f12edcd5681eca7", "b1cdbb1bcba07082c7172ef9c99f5a755eab04f1", "7684b221e5875dc4f1526036375898f3d2407d8a", "3f2dbb34932edcb69295e57d4b8d6a8f68e28df4", "04470861408d14cc860f24e73d93b3bb476492d0", "c0afa514524a4cf4b1772c1738ceb6989bff1b71", "63470476067035a47bc14c217a5a458d2c299f04", "31f1c92dbfa5aa338a21a0cb15d071cb9dc6e362", "85c4bd014c082dd2b0e53adf8b128a5edf76d455", "b0771b7ca52022b37a563464f823af67c0b36c03", "65babb10e727382b31ca5479b452ee725917c739", "c478faecfa337bb2d37ac7c63aca47d4148ffc6a", "a746bf64f2950d290b96033c095514f3195eac29", "6b6791c0a3f06c356035747f7e5f87d54bc5a657", "22c392ef712fe5ac990b4e0322e0b0ae245829cd", "a9e53a7533c9c743b57b6668c11be0c73525f188", "c5e089ea32790a16a30b986f6d5c9583a346e143", "51c2c974558fe4e194ee7c81925580b7922add33", "429439611b809f364fe4a9d9a2239bfbb815529d", "361aa2cfbc51ece34be511986205095363db94c5", "707f3ccb8b1889445c54ac2cb6452aa646346a78", "2fb092e2f36f26e8cb9f8f3443046be0ff24f4ac", "602e1a579a0996142e1ad24345f5c1d5b57327b2", "4eca3e3c4876fc7ec81224d4ec2f159c9e7c72c3", "ec0239b3547639195c95d322632b6a83b648e8df", "f5f87a0bd3afc8372759f0995bdef7106381ab7f", "0ff23392e1cb62a600d10bb462d7a1f171f579d0", "87bbc0c2284794d88d0fef44b8ceb6c2e1e2c67c", "307dae1bfa57c0c5dcf2abd22f2e16f7e894fa29", "4df54d4758b1a883902c036b2a10ef6d0f2d4af9", "7da866310e9738a2d37007aa528463188d943ef2", "1a24785a6cb7f245728962cc46a5a491c7afe61b", "d8ddaddfd4843d483505718f3487e312310ba23e", "5f0b7245bedfc984b327b8e144c3cba9d9b2a807", "bd6333229199e7b4ac4b9ae7a7cae50ff9b9f5b2", "edf254f131ee6bb42555bdafdc4775a3edf3c28e", "b6aa10c634aeaf1af841ffcdb2fe7d3825f1870b", "530914de437419c103f7aa2cc687eaf53972d785", "0557776160a80a612541f0b3eb79b30e884e1b96", "7d2154d95380864f30ccd5842c5f46bbdf0e374a", "23b93f3b237481bd1d36941ca3312bb16f4beb58", "d0b876118eb1c9d0b397d29c47de904354d95648", "b10e2efc35ceae28e1aa463f44bc76f3b2d3556c", "92020e6540fe9feb38616334645a0ba28dcac69d", "89a1e42f645c657510eef13c151851f945eb3681", "1b7cc9137b493791f4d1e38efbc2074f8fb9f3e9", "ccb2f6a7b662fb1d6b8d70e01c615b4964b594e9", "04df36ea27f14f96bb1b33d76103d1dee7c6e0ca", "057d9240489746ad35bb73c2d1c86f5f27a733a2", "c1cf5dda56c72b65e86f3a678f76644f22212748", "e1b656c846a360d816a9f240499ec4f306897b98", "53b88d7b05b9986b3d8f10c0fdc647738727c730", "5150f982e12bedb4f3e4041bff579233a8164f64", "6a59d68bced702ffe02d46285982dd31dc53fc76", "fc1f2d9fe13c26f20d715aa738bf4302d4093016", "58386e36dd873d4e2c49bd522ed7f32d62990f99", "fb66546a16751810754430286fe4c636e4411ca4", "b349714e9eb089c3a756c03533525cb3d5a84ff8", "4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0", "425d8fedbbd64ccd630851cd2c2f618243977cfb", "8cc48c7e146a1cc8c6839b32b7692b0bf5dc6fb4", "6d0177bb1cd292a2ad4a14e7b9173fcc8b72569c", "5be6340c55d4a45e96e811bdeac3972328ca9247", "67f78b4b4669bae388f4f2c9660f265a987e8f22", "158974dc6503cb4939b87a1fffe17871e8a48c91", "340866188aa3865642d374a48f56ed2741b3b8de", "140d5459e2ab0499a3a9db41bc75bdfae81d5266", "75b60cdbaa2ab77b169ed0d1e478ebff07468ef8", "9e7f7e273be2ebfccbf43e20d2683368ebd7e5fa", "67eeaf667b5f948d763a8d2a7284b7a394145d12", "244293024aebbb0ff42a7cf2ba49b1164697a127", "f4c2ecc328a1e9ccd13ce785f97fc2febc0106ee", "a9ff867711fae973fe63078c8eaf759af44c0f26", "377c328e833b690f4788810e9877c80badc9b199", "65d9839ac30215b5c38c5fba22782985f6991d74", "60f1f1c56ff4e607bb34cf0e1407ebeadc864817", "a3d8b5622c4b9af1f753aade57e4774730787a00", "ce3ee08f4d937a6dcb2d6dd0a1ca100920f312e6", "312b807a24b8c30876c1750530b08e4d9627e231", "3514f66f155c271981a734f1523572edcd8fd10e", "fa66007e6c159c374de78f2d3e47317df7fc8214", "47ef3ae5832b3985e9f461b26428867258d4b261", "a1132e2638a8abd08bdf7fc4884804dd6654fa63", "230e45294a95a7b773a27dcc3fc52ad5e116f9a7", "60d4403ed3d5bebbf89e8627acb1768ceb29e8e5", "8ff73c1d0f4f0a190f889ad7f1ecccf709c25929", "d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705", "99f1a82f6439ae8280327f7a378512ec1488cd21", "04ef0b28534cdac18a2059f73ecfe940d6bed277", "cc38942825d3a2c9ee8583c153d2c56c607e61a7", "826f9e286eb0c9165c04bc5811aa7793050c7666", "6c2b392b32b2fd0fe364b20c496fcf869eac0a98", "b5a03ac5125ea25a9aab05577a382c740420ee47", "6a1fd51107770edbdd832a1934ff5461e891f2e1", "66aaa719c84c5ab833eb9cd8a8566d9a110ffc48", "a8c138225b8f768fda9c796f65edfaf53f3bc867", "3d59a9d07295173bf8b578d0c8efe7322df5701b", "239c06cd437832faa55a8e7292c50e45229a3d7c", "080d9658e40581c7ba8c0cc1d86d1157eda92a3e", "25866eb48b94e85fa675b1d393163d27ffd62ba6", "2f6baf1fc904f92834880264d6e9569284ad6487", "27b9e75bcaf9e12127f7181bcb7f1fcb105462c4", "c64502696438b4c9f9e12e64daaf7605f62ce3f0", "97946f13c1cf8924b0c1ce88682290ae87d630a1", "d8ce90d4905578ffdc6bd8665fa24d8fe90ef3f8", "6ca45b402a204351691c6f12a84cba3be1c5fd56", "7fd4e67938d02452e256c69822285778f95eb045", "fea7c360842121780ec29f4cf0f65eeecd707336", "ba3f4d05971d3d9ded23725846b864f5a8e8a7a1", "83984fecbf4dac1a6399c57e147015935d7c60a3", "adb2d1e241933ef363bcf03d865a9219d2911780", "d116a2a8e59e337fc132978d4ae99549c3fd8e15", "5eb2cf87852d84575eafa38677eb50b9f79005d4", "597ed9b810d84abaa30cf0ce4ea8893cb44e33f1", "7663fc96495d699e041f462642a07ba994fb9352", "e506cdb250eba5e70c5147eb477fbd069714765b", "c165a5e05ececa9a4b4efd55c6fbfede8a06a8f7", "e360a722400cabfe2d5959503ed500125f529433", "26172460c2c47886f8b0e141c15de29c9766bfbe", "d596540ba9402bf8cf2ffd168446c15cec12d6fe", "de1a5ce1abd2e82825a967b199e98480cfb8a909", "a6eb8cb1c35d0f53f8d2c9a404e374c01275544b", "42fc724ef54deb40f05c521db69e2f3becf9fa3e", "75b1d8339085ab03f45c0316b976755b6c5da9e9", "e4ecf4c117cbb4dd1fbcfe31d5076af94a51eda1", "f9b8539d48d6350435ab5550fd47451e779d2466", "6a8e4947a72c9c3b9267994a5b8f657ea63deb7e", "bdb74f1b633b2c48d5e9d101e09bad2db8d68be6", "bf96a0f037e7472e4b6cb1dae192a5fedbbbd88a", "f46097e264c7b0e47c4b1d1b476e5e6c1db9cc30", "1f56d8442452c527140909d9f5b857b7eb7c997d", "8f828dc79d32a4a7b3d3791b32718564e104357a", "ac57b04359818c17d416ee53ae05a5f126eca4db", "2199cb39adbf22b2161cd4f65662e4a152885bae", "706b1123217febf934ee5c33b4af27507a85771a", "34d44256d910861815373476371429a5f6f31c92", "4d1fc3245b05731a313e61165c1109f42f5b4a0c", "dbf86aca1b92ffda84110864a7ce9fcfde9f5f52", "236942bb64f1711b4763424b2f795fb518c9d8d4", "1c65f3b3c70e1ea89114f955624d7adab620a013", "9fe2fed0bbcb9e41e058031b98e7247fea854bac", "66c989bd4cc3c9bb8d006d239664a82006ab0615", "f2b13946d42a50fa36a2c6d20d28de2234aba3b4", "10ecc6ca956a3268d94016e6ec040ba0b6304730", "75753c1b07cf3e368762a401d591dcec6a8e8a53", "8dd839f6bd403f5d155267e2740db293eca8b5f6", "a192845a7695bdb372cccf008e6590a14ed82761", "73fa81d2b01c81c6ede71d046f9101440884e604", "16a431d87d0f01c6d70d2b7476dfb3948064b740", "511662e02373433c8c9e27d1425707069e3695b7", "2a2deb5dd30a71ab6366dc737359604a9c8f76d5", "867e709a298024a3c9777145e037e239385c0129", "15667845de2531b59736d866531728a771500d34", "dde24967490f58c8d10b2a00f12bf9103bd9b4a6", "90ddf36ded1624251acac0b900c42eed3fe37505", "f28e1ef4a0126207a4ccc16b359a41ccfefd2bef", "fbc591cde7fb7beb985437a22466f9cf4b16f8b1", "30aff559ad25dd3490712749793547bc89b0f103", "6c36965f46bb21a36f56a1ed2741b7bc4df55f8d", "79d899a672d4ff83f018276fb7fe6b1f4342e8b3", "2ad29b2921aba7738c51d9025b342a0ec770c6ea", "0431b78553b0ac6c91bea31ed866255697c8308b", "cebda64dda05fd13e54221986182e9d08a31909d", "ed1ca78784cb4752be46e0fd867bddb92dd02ec8", "5145e42dc46845f3aeb8307452765ba8dc59d2da", "75aef130afb8c862575d457db6e168e8d77ae4f0", "0cf9f33546917e2d0edec03037f1a084d75f917b", "13ef55829b636d248dca450bf4dbd743ef269131", "173a1110e3f5fe6a5518d7ceb025730b073bad62", "0315c68902edca77d2c15cfc1f1335d55343c715", "70eeacf9f86ba08fceb3dd703cf015016dac1930", "536d1f74c6543afcf2bc711befd82ac7886d1c33", "7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e", "48319e611f0daaa758ed5dcf5a6496b4c6ef45f2", "78f415961debaacdcbe7e4958cae28f7a922886f", "d92581c452e780710938cfbfa0f1ca2ffccc5d5e", "ec6b3d7ae26d241709df49734b4c1df9d2a27c48", "eae97767244ddb8bfdaa3b370ee0c00a3aecc8a5", "28f5db383ed771c40e9131229de707af844cf197", "013e9e0f712d8caa89dd0881ab8dcf90d687ba50", "500ddabbfa3bb1064b6250cdd3d5fe207f7aed67", "9945e46412ccf8a8d2f1d42bc3a5270ac71751f6", "51f9c71debee2ace4c9c29b78a01909f61875acb", "5d02f269e3b9764a3bf5d254a385fd61759a84a7", "184fc019bbec7f07bd9e34406f95f07faf7ed96f", "c2af954c89972a716968f97a67cc3841290937d3", "e9dc096762f503cfe0d56066c02d27082665b3cf", "b61cf5daf24c5d66110cf0ec6c32ca39f252c0ae", "fdfc73fabb7fb570c4d4ac1e29f3cce889da7f91", "c32b5f8d400cdfd4459b0dfdeccf011744df0b4b", "f4e6b45d5b41b3b85728531d9bf0a7976a3b9238", "6997039127d9b262d4a9aa9467c4f4fa3d596085", "fc3bc272dbd1ba62cb183db35133b0833b3330b2", "0aa5e9d2ff47585dbad5711482a388028899454e", "377a1be5113f38297716c4bb951ebef7a93f949a", "1ddd4a651389b411c2bd847146143577cfca02c9", "3bd6621394ec33f5d48fc09278b497add44cf923", "0e95f68171b27621a39e393afb7c74ef1506fe85", "d0d58e1885db56bdaa3890a1cd32c6d6a42f5f49", "faed896f28281a77d6847534ece9c97a3036e75d", "1c754b6cd6f672a0adaa1fba07a551c4cd79a444", "8e74ec37f1fa24eb9f112c0ed7b6d2c6f20383c3", "17dd242e6d7afb5d7fafcf9f8e8b201573ce4b89", "ea3503e9dc74b30b4c98a89843fe2ea0dc9221ab", "683fbd7593cf5c22ef54004bb89c469eab2f656e", "3f3acbe919d9324b379b13a0ba54d0035f2b5035", "4871300f1e5a58ce920e6b5be14e89c5da4aa4c4", "6ef97af2cf7d3654e294565c5447f573ff9e3cb5", "8c522c293ffbb4d8f451789e3f05f5815bf40b92", "7e3ea628b91cc32bda7da4c64195d510b9a7a617", "8c995bb3483feb3ef11a236f80f8a493387b5829", "f3015be0f9dbc1a55b6f3dc388d97bb566ff94fe", "ac8bd8663c26d8cc5d73fc91dd269c38d437f47b", "2ea47779a591d13e67bb6ff77af7b9f7194ba06a", "902cc7dd4ecfb2b6750905ef08bceeed24e1eeeb", "93ae6b140d7dab7fea958da3fe537b0c80334c30", "71524b02d3df6e017c92f7ccff73cc9b65ee2287", "18a9f3d855bd7728ed4f988675fa9405b5478845", "0d29ff45f000d2fde0a16db54ce7ce014408e4d8", "fbd338f653bbf348dd33eadac1f439be072c27e8", "53ebaaca2d09fa3d20b4aee6720781b1ff6fc6a3", "6ad5ac867c5ca56e0edaece153269d989b383b59", "00b1451fcfc14fc8109e8108a61819e821fc4ac9", "432326edbc598774315a0def91d1fc224d732922", "bcebb4ce6e4410a97e03cb2fc4d38aaf29e636e9", "5f26ab1b415e3cfa9d9f20cc93154939f3c28ebc", "4b48e912a17c79ac95d6a60afed8238c9ab9e553", "bcf7fb98ab0137d8a8b8a952819f5e13ec4648aa", "13f8c13cfbf2a504f02745bd44da4ac40fd8f8df", "b357576afb70465e47144aef96955b1e4b9cc1f7", "1af52c853ff1d0ddb8265727c1d70d81b4f9b3a9", "bc14c01ac17f7b3527435a650503ca26f3c84aca", "8ad9c753276254d4a3cf177d5c911b21892561bb", "92f0e02c9f4e95098452d0fd78ba46cd6e7b1f6d", "d4ced2086ccd9259ade8fabdba14e0e4d9fc0c40", "505ea4493e4b733352c921401a96d92b4e6d4448", "5454a2d207adccd04e4c3b4f38520ccac8a21d7b", "04d9abdae728f09e1d1f78e36a5de551c3a690f5", "5746dcc8164ab95dcf8569bd4f37dec58e1112a3", "1575e8413e86570b142b6e268aa945c2514a2420", "0f1cd34e77c141e75b02ad4f5b4c2dfcbbffc05a", "162c0826c27517309b7e27b0d1970e34c094596d", "422e01be2612b69d5b567abc3b218a01c1cca754", "0e5e7e5e04aee1a7582268d4d28b7aa91490584a", "62d5c16760018b08e301a940434c3fc2e862c385", "a69d98f4b308406bbeda6ba9871ed19f4b220d1e", "0cbc3221a07db517c30b9d6605cbe9d103e19955", "dc6b2c758c8fda9aa40138112fafbfa0ac50a193", "95a5cb872321addb28d5dc22ffad9586f113738a", "f8292dec6d60debe9d4da5004d5195a79255d5d5", "3d61557da178b6210cb67c3d8934afe1fa434830", "009bf86913f1c366d9391bf236867d84d12fa20c", "5ee42f0f79aa1394bf6d7f51ac9fcdd69ca66fb3", "d6e7217ecf6d163b087efc0dbb8b43de700bff93", "36c948efd76f58ff1a5e42a2b69fbdc04913f7c4", "c3b3636080b9931ac802e2dd28b7b684d6cf4f8b", "5c717afc5a9a8ccb1767d87b79851de8d3016294", "cdcdaf29cca23483ee187fb0c480f3a3e45d9d30", "c18ce1d706b54010f8e8cd3f87c3e5f0f5950901", "9b305e918be3401e79c6dc019cf1e1563fde9a31", "47440f514318b438ebf04d9932f5dafdb488a536", "1e516273554d87bbe1902fa0298179c493299035", "d7d9fa9a5a57f9f3da7ab2c87ca58127665774cc", "1b544dc335311da2314444e9c11c4940dcd4edec", "df61bc3b712493351c9ab065d67fe2276990e79b", "b7deb56d090747314d91d6d5197a0162b0c0e1d5", "7125b81253ce09c46cdccff465b6066d8550c80b", "10a98632ed618c23c58af93e17d90ef654b1845f", "82ccd62f70e669ec770daf11d9611cab0a13047e", "4ce18536eec7917da848be6b5f783d3ee3d49677", "f884a67187929e7dda66091c13867ed0a8a36d01", "9040e6ed20a5e64885e59ea585373663c5551273", "1d3ad3f3a4336b51d3858cf8e05b3bb99730a16e", "b395e6a9f28c5acbf81a58599283753c033b9540", "26be80fcd89edd7d4a0c2aeec463d1aa74f5ff47", "11feb48d2c4c8f8a5ed9054d49e7a13b0f75f2af", "3c18fb8ff0f5003fefa8e9dc9bebaf88908d255c", "316d51aaa37891d730ffded7b9d42946abea837f", "bce61a182c7a1028eed0c0f67e779753a86503c2", "6bc4642c2b8108067914abccea3f48e18aec5200", "b7fb19677b8f6af81278f2e005667c5c6b44a2a4", "f822342fa7ff901149cc18878bd79ab78e01fa85", "c39e7d03648c398e73e84bec1939660459b7c7e6", "175d6e5f9d12a531966f8a2e2eb13e849ae1b38f", "5fd9c7f6efa9902b926eaa8d49b8e46abf3af33a", "653f3d16a192f23769d277097e981f49b14289b8", "812725dc3968aaff6429ec7c3f44ba1ca2116013", "9cf1a5797c9e31734ae881384325cbfb8608bd7d", "ef032afa4bdb18b328ffcc60e2dc5229cc1939bc", "bac17d63893e8025d2410828f7411092192a3abc", "cea85314294f9731661a419f627cb99331ad9c50", "5cbb641f3e4a9543912b5a484c38cb89ba1212db", "47ecc0924c2a17a6664d9ff6c31e2b9b6e490294", "06834da1a4cd8df213db142501a72000912b8b0f", "054953d915f65b66485b653cd2ffbf61568b2849", "439da29cf857151f386e6af488b2d60c098c4fd8", "f04de7248f26ac959c31aedc7bcc475253585eb5", "d8c0f6ae4c23ecba187abdd217e0c10689bbf63d", "ff5c698e1f451c7e6fc4f036fb79ba6ff899285f", "f64d17d32ba3ab1277ff4edf025503fc3ff87c14", "9f259c58034279e73af473f1f47d3ae3dadaf599", "f42234d1efc179079e6cc6a26667fc942ed61911", "640aa9d6b87d893d1a75e3c49067b9ca1a2babe6", "14d00c5949bad75f888a4b8eb0f9385d71fe0be8", "034050422f90938a43e9cfd292187aef124fef61", "b79873ccb1c03375f58f577c98d5bd7a371da4e9", "ed9de242a23ad546902e1d5ec022dbb029cc2282", "e0e71b59a34c97d15e5ff148fb9a43b892d45bd5", "9ea0785c52b24a9a18a8d415d4f0fc3af9bc622a", "549afb73666202ec3c02a59de611387f723c1cf9", "45fbeed124a8956477dbfc862c758a2ee2681278", "b16ff1331f961b2067c9464c491b7cbe90694758", "f403f1e407ec2dfbe8481188c17ca39455996c99", "034516f37171e7e6cffb8afa84c1f5d6d12d887f", "01d71a82d29912e68cf5d86720da8d7187e209a3", "e7120dde20d8518413180e8e635cc1dabc5e8072", "2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1", "67faf6163bc7a9b29148add1950afe928719b361", "9841df3cc4dc89379039092816ef19af949257a8", "0edc70f3b5550f997d9011c6d4860feec136cea9", "34b124ecdc3471167cea1675a74a0232a881bc69", "03df507b31691baeb7343d3eb70d048943e2d4f4", "0dc34e186e8680336e88c3b5e73cde911a8774b8", "5aa8c64b00ec1d8f64da8deb4d3293874ef9a863", "8c6c0783d90e4591a407a239bf6684960b72f34e", "3fa9bf4649ff5e0d63ee20a546e8814f3a93ca4d", "afdbbc5c84eb4e535c7c478b5227c0138b57af64", "41a6196f88beced105d8bc48dd54d5494cc156fb", "8173c811950c1c357253b3ed7c9afbb21ce6874a", "380b8df0f340e5bbc3a953c62f9bc573ce073b92", "4cf68a0b1a3f49393a8c11f3a18cccc7912b8424", "04af8a7b2a6cac581246622c1d89ac1ba0d769ce", "15acfd430b06f32d17c27be13e7a74bd0c09c0f7", "545b95c768fd4c7b0f2a957359fa00acf97066fe", "bff354d05823c83215183c8824faefbc093de011", "301897fb2020b8c414eb1d93a0ec8fda4123476c", "412ab6f96f0dd928e158d07aefb391926b3d1a82", "7a3676dcf55e22c7249eac7615174309617c8246", "29445acb03961fb27ac9221875c0a25171502144", "98fb18a3079087cc1370bc3c63aa73281c632df3", "0e790be2a341556d80ee34eb8abec966a2018c5f", "5b3d5d1e23298bc58d8cdf9f30b998cede5611c5", "e1e60501677ae67c6a682bac2c17e4fc904ee380", "76e834df333586fa9906afbdabb9a33bef98a56b", "fbb6ee4f736519f7231830a8e337b263e91f06fe", "c56bf47e288e2e0b47bb0d49c0f1c4dd76511614", "a9f03e4bb90addab234423994bfd8c25854484ea", "0f5830844658e0745e6703cd08d65c033a97e96c", "6a41ba9db0affa701ea125e09a2fe7eb583e3ac9", "68bf34e383092eb827dd6a61e9b362fcba36a83a", "a4f37cfdde3af723336205b361aefc9eca688f5c", "693e0da15094071de5eebd2f36f8b4023f91f161", "62692164113ccd9badd188a225318855c4f01898", "a5173a67c7f32582739849cfa5e07278ee6746ab", "c59aa0580d4d81e38463b87e0cb99358e99bde99", "a7790555c65be0fc5b5de9bcb1dc550f4919ce3f", "35b9f09ed66955765dc7703e9cada605948c71d0", "403d6a09c17268fb4bb0ae953107bf5f78ca9d05", "541a82917883657a9b9c069559e2d0b890904dfc", "17c0094c68d6efd19b80287c51d228fa50750f46", "563d507c86cf72c6c9745aca7393eb84845ae125", "9a15bb1a3b2f92ae0f6f5a6556f52077909fd736", "101c7bfc56091b627886636afcf1103c1cecccf6", "9c85d54a9f6c6a522a267bfdf375251947caef5e", "2debdb6a772312788251cc3bd1cb7cc8a6072214", "67e00f7e928e6eab0faf1917252778b36bf64e39", "626a38a32e2255e5bef98880ebbddf6994840e9e", "383faf929ca0cd928ace9e11970604bd03883310", "38e7f3fe450b126367ec358be9b4cc04e82fa8c7", "258616ecf878701824548dec916a8b5094e0744a", "91bdc706ad1d7b246e457870a7eb8caff87ec05a", "a6f82935311e5db41f262ce010ab71632ae886ac", "5b27cb504e61687fc2f59d975b3593dc741050e4", "a9bd9298839bf239bb7ef891d2ffdb2a81902574", "c592b16d04b27ad9a7d676f28a6a2b0649ceeb94", "64c1f5a833efbf6d520a529384014e2ea6b6d113", "822c7bfebcc456e3598304f69eb8f4a2aee46f02", "529e2ce6fb362bfce02d6d9a9e5de635bde81191", "c4d7c6f4b294e26e619b5ea5c90b4f9136a466e5", "c258c23d30af319d363ce6d229c664ae08bc86d7", "0c5b32acd045996716f66e327a2d39423446a220", "73a7ccf0facccd8943f7e54d19478f2bef9b7dab", "a84d0b681bbb6c42fccb26036af689d682a76b4f", "d39f311f1ae08efb6cd50bc5c0efe06532caad65", "2431e8f4c01581e51a480f822971b81470979c45", "a30e987e9909a4e307c35809275cf80431211f22", "77052654a37b88719c014c5afd3db89cb2288aeb", "70e14e216b12bed2211c4df66ef5f0bdeaffe774", "de53ec6f806982a4940452428f9f6ea94a85ae68", "10916d4eeacbf63a178c229868160189c6ce8850", "6eaf739f30ebbbe827e5fed3bdb7aa73d1241b19", "f03160078980321466e57fe4c5adba1f2c87ac61", "14811696e75ce09fd84b75fdd0569c241ae02f12", "dd72ed9a30e4d04703487df29a8762940bd79967", "23c9fe37fa0474967be4cc6c7a310dcc87b86b72", "6af65e2a1eba6bd62843e7bf717b4ccc91bce2b8", "41b1069c06735a20f9b4281001285ee2167da309", "774c8945ccf0f5315482abb8cf84ac5d37c60aa0", "b7207c142b0b9f4def3ae7cd07ce50ca31d930e8", "9e7646b7e9e89be525cda1385cc1351cc28a896e", "e24d6b40e956e11e5f0a972dca6e8a3a337d502e", "b7a827bb393361c309fbba652967dee11d16857c", "bb7c5a521607a02e7a291dca7fc33b595c3b7bff", "47bd6c1d7da596d3cf79f06ec0de816d10f11beb", "1565721ebdbd2518224f54388ed4f6b21ebd26f3", "28aa89b2c827e5dd65969a5930a0520fdd4a3dc7", "47fdd1579f732dd6389f9342027560e385853180", "04616814f1aabe3799f8ab67101fbaf9fd115ae4", "d487142a7b8c84cb47129d91d5837345ccaa88eb", "369634f497852e05d5e72b12874e2a3db2d3945f", "b6868c44202cd57b2ca7e2b9d654f0d9fdb3b61f", "4a7c76098adcabecd66bb5059a8878d1b0da68de", "a98316980b126f90514f33214dde51813693fe0d", "ec6cef66d5548514c2df6dc5d365793deb8958d5", "c8da81fb5551941295ad815051d39dc461008751", "8d156f3b4f1ad5d041ae9f50a0b879e25c80749e", "8bbdafe007c9e153bac5f3a2e2d898e0a23b95e2", "8139b28693afabfbbd1c5862048888d8e8d77406", "e24ab3b2a7b5938a48ea3c8c4bc29be2b02299fb", "83dc0675cf5ff9f9a4e07e4e20a6bd9642985949", "df58cf3fe7502a91a7d319be11680ee5b1c78e6d", "9947687ffe0bd2d6cd4fe717e534cfcb59302a4e", "88edb5a15fdb10fca4e8275016726210f1953421", "5f92de3683b4fee28ad3f431c889e7c8bff604f8", "2e58ec57d71b2b2a3e71086234dd7037559cc17e", "3ea1057e765431733532e7b70e6929c75b977aa1", "39674d06b0df1df8d29f7a68d6588d5a94f1414c", "2c86351363c59d0f39f9f0296b149aee50047ee8", "446f003afd16aa932aa87c73543348f62eba0e67", "ce4a7531113d193f14fdea87d59cfd965ff8a845", "1efd06c3ad14dd94c3f7c10e8b54fcf4ce5201a8", "b5857b5bd6cb72508a166304f909ddc94afe53e3", "65a8c76a25c1eb95436bab22e99f78f6b390c87a", "1a7db5776181155f90bba4df97cf3206ce0271a9", "80c8d143e7f61761f39baec5b6dfb8faeb814be9", "14a01628169a3a060b6af5d5dcdeeb584b648abf", "3e5917055297a6e9cbb5986fdbc0c345602b02e6", "829a9912d0cfaba106d1d594caf8aa97f9ffb318", "9f42dd958afc027d42843945623d8e0ddf4185d1", "9ac7bb9be33f41d02754bc33a39974496ead0b27", "b12deb63a8964b3d5cd6a95f0b4860bbb377f630", "00091891790ee77816ebd785d25900254e6986bd", "4500888fd4db5d7c453617ee2b0047cedccf2a27", "67a56dd94906a5460c263e1a1b87fa3a52c4b453", "f67f33f0d739310bcf21ce79098041ffa5ffd6ac", "354650dd4057808bb8e6f080186ab9b85702b263", "ba1d0d2cde169bfef82dc271b580ed6688982e7c", "2596b967f0768b64a12e53b24661ffe8f2ac4d1b", "66a153048f20a04ea46c0bf442be3eb4d56a2d30", "13f74a94d492919a1ff13af16e2df2ab1bedf04a", "26c8ae944746d91256a8b9c283030b3b34a2c929", "220d62414053519f7b9a6aecb4aa9f775014c98c", "7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f", "c526f3e27c7d8ed5e07cf57ab378f17e1c548ebe", "d462d514c0a177eb82aec8175bf431189218e393", "034b8adb06a8ea330581ed8b733166c18034c54c", "89ee33b78797c0d6219d31200424f88ba8fbecfa", "75085220b42ea4a0ce5f269fd64c5414cb423e40", "1063708776b817751c2054e34a33efc9ca39c41f", "2c2786ea6386f2d611fc9dbf209362699b104f83", "c8eadd001e5c0474ed02428e79e8d2071151bd1c", "b4b01120b61a00ef13f8666b0cd93d38a57d2b58", "4f81f0c0019862046710d70b6ea880f989949e9a", "1a257ff73b1dd95f905dbbce9bb233033d09e959", "3073eff17368262d7c605bbcaf3b2fb015754d39", "8039c28bb693b872c732bad66eab34663df88f35", "6bcd9143215bb4f1bde742fdd0d3969671231831", "488d3e32d046232680cc0ba80ce3879f92f35cac", "8ed32c8fad924736ebc6d99c5c319312ba1fa80b", "087a507075819e5b7ad886fad3097b23470f35f2", "539ffd51f18404e1ef83371488cf5a27cd16d064", "d8c9c234cba6771f7d8f794f3202ead9a7786647", "656b6133fd671f129fce0091a8dab39c97e604f2", "1c9a86d0b354e412da4b7c76fcd9cce716c8b09b", "52d349d2dbd86ae697cbfabb058b069b5d57ff84", "07c47160ed02e28164b90fb9659bf2881ffa79f2", "9660594e91ca3b37e573a0408f3a10f5107e443f", "3ec98dabbcf440db746d4baf6550e44e12c5ee76", "bb80f32bebfa25c5999a43af19eae7cea8c183a6", "c9d272cc836ea5bbe946718d2a4f8b3d57a6c811", "06e768d74f076b251d53b0c86fc9910d7243bdc6", "0c17c42d71eacd2244e43fa55a8ed96607337cca", "e3e49e5807436d08c01cb953bfd845b274c4a85e", "72458e19f8561e74471449fb4cfd97c8b9b527e8", "4798e98fd4533648833c491b1ba289e370757371", "92f4d324150c8da468829d51d1df8f659752f5c4", "a1be53dead395b2d83a4009bec76729fce95af83", "e30b70282854264cb8560da0352d8edbd2792439", "cb53c8a85d58ccb2635be5b7ff978ea6e8b78cde", "1c17450c4d616e1e1eece248c42eba4f87de9e0d", "d0de92865a53576af3dd118f4d1fa73be12aee9b", "de48bb3a9974f6f1ed2aa36d066150015f9f8647", "0ced7b814ec3bb9aebe0fcf0cac3d78f36361eae", "16404d38775e2e8ddcd28e2ca6e79cf8a82d0d9f", "8c269412a8c9e646641750dce2a1b2ee7b9c6b2e", "26a5136ee4502500fb50cd5ade814aad45422771", "d8f7b26d25a026fe43487b6f77993e11b8b333e0", "d65bcbcddec932480c434f0ffa778e429cdd4ee7", "f2da0ed6dcb86a8c0ddc8c13245272a726cec480", "e845e4da77080e61ccb785c21b2bfeb6fafc3806", "3a846704ef4792dd329a5c7a2cb8b330ab6b8b4e", "4b9b39bbdac95e24773789f1bb543149116cdc37", "978d9a5251028da5a23fd0aed8234ed22b4918c5", "3ad9f6c1d10a2d1e86c93a4182ee3b260a6f3edd", "fc69b65c7d03da6811689a2ca825c1bcf62cc7d9", "4a1d0719d360d2d4ac020ec75a63129bc9e5114e", "9c5bd5e27216f22b6dad96b04673e4ca63d0604c", "1dc07322715e093c560b30fdf1e168e58e9a9409", "3b448e114097439f02bed44bceb6c8f823ba5f51", "82766851c790a5225f3b932239e831e1b60f5ee7", "a19f927f79d94331914cf4bf77b4617d9cdb345e", "89efe00633f660b75ef32aa246b36efd85619da1", "af97b793a61ba6e2b02d0d29503b73b5bdc2150d", "ead6645a3b3794edda3c92926208a683008924ca", "810ce6d1a3fbf6fd850b0ab75f4a86db02926dae", "c093506abe0d4a9fe2abc4f7bb0fe03cecaca4bd", "98aabc3bffe179cc5b6d8137493029338f470647", "3548415e23b536b9e41aa3d92c18880f38a1d80c", "f6cf220b8ef17e0a4bef0ff5aadc40eec9653159", "568d65d0d8ff878ada581885e94eebb9ca96fa59", "61be827dcbc2f9e6e7828042e77bb13b11b321b4", "1665fe64f8439a1854595e2e73394517d44c35b4", "192723085945c1d44bdd47e516c716169c06b7c0", "677172a408cd8378261a96d888a5cebf68193842", "891938a103b72bbc9f277a8106acff72e7f9b6d5", "8ee80acd51f30ec64e8f356764ed245478151ab4", "68003e92a41d12647806d477dd7d20e4dcde1354", "68b01f77c7c4c09c725ff8a6081aa20ac5fbbb39", "e5c4b75cb79aa5155ffd9498b3fcc790eb794e72", "dbee5b3340573d478244fb6ff4ddaa989dd11d50", "dfd94ec697ca1f16b5171e884626f014d2bcd754", "3d5b8127ce57279f9fd77d3a24d8034b485163a4", "7e48711c627edf90e9b232f2cbc0e3576c8f2f2a", "1d9bd24e65345258259ee24332141e371c6e4868", "a61a3f7870f7cb0ff73fc9470b28ed94692efe74", "bef6449f2c508324774316e2989d58b1612fa49a", "ead955a336df22f4d5f9e467dab1fe87542d7f9d", "2eba2865c0ea8d228f5289b342dba4fa163fae17", "36b19e6bf2f0abc0387052436956a25b37488134", "fddca9e7d892a97073ada88eec39e03e44b8c46a", "a7beee421dc8f074338f32d7d8bd2c40a39176a2", "f5c83679b73ab59c2ada2b72610acdd63669b226", "13b8800b6ac35e80881e369961541cb6c110aba9", "12b3116aee4c8119f6d822bb32637ecc57704f3c", "aeb67c789430584e6ff34cf22af0d72b32c83ab4", "fdc60fe4654b5efe0752acabef0ec6258062be0f", "6f25be3ed3b3f872c373b151713b0a0992053c90", "7289a44c2714c75eed6bff46d9bdd399bc6f8ac0", "2cc0e431d7cc0bcb926b9a19e7be8a3592d670d4", "c9fbebe22206c7501948ed6646154a377f24b6d9", "2a4676ca1f805cd90aaf2b3193399f5ac2770987", "9eb52cca3ff73def20a7d51cb1779c32ed193289", "f7f6eb91b6ad95a3b47c0ec4ac02f323b98cfcfc", "16d7ca53474bf74cf242472a5cf7f427796fdd04", "6fd3bafa25bf6d376bc9d1cc1311eb260d10d024", "2f7d3406a96a5f409872e13643463a4896d9a009", "3316312af29a7c2c22c9653e63d51564e264b6ee", "6626e883c82914d9fffc0761e2eddfdcd3ffd96d", "0957189f98fef283b05a672177465867600dc5a6", "0d1b8977d9390470577fb595fffccf7c1aba06f5", "146b852de824ac9e105175ec0d82346e9f9cf083", "ff4e8a8333e4ef506318160248c068250963806d", "66fb1e7a65abbfa171a3fd92dc67006490df7450", "baac597e78beadc5d38a8ee5783faa3d658b6649", "846a25af091b5a7dc0b643d826455a80cabdfbf6", "cd5dbf0a6bbd6be291b53f17ae77656ae9c4bb7c", "719eb145ba64d701b6de2f69608be2e70e300204", "a1af05502eac70296ee22e5ab7e066420f5fe447", "aaba2a04c025f12f839ac71fb248da0dd6985d58", "2608a2499819053468f4e6f77a715c2dbfefdfb0", "1d8b85d7fadc62099eb15c4462379b2167538a7a", "3cf4bf6068da630fb4e4433f355b776f4aa4b8d3", "4e4ba3783e7fe7dcf4a3b4de1fe1d5b603029f3a", "021b38f989a7140e17babc194967dcc7ab4809ab", "c6d6193c8f611331c8178c3857f9ef92607a4507", "3ac173183f968a7f042d0b779009ded2af76d0fd", "18783a40a99f36b3bc618be6ebf06923fd63efab", "1adb6341dd9bfe88d631009992fe8a4ef80e2f2b", "e7b81c3d22fd9735d807368dad28bc2411d8371e", "45e9b5a7dba2f757567324fe35c2f2db87b015cc", "90a46cf5ca0f13154864aeefe3e8e30e9fde754c", "d690b0fc5a9f0b033963afd92e70402ddf167839", "6637404f65c0896d5b52265bcd4fa5433fea1db1", "f52a5e4e21daf4156bb0eafaadd77865e56a9aa5", "810f5606a4769fc3dd99611acf805596fb79223d", "82224858677af47b8c836df701eeea8fffaec924", "63d595ca536bb42b4d79421557c927c3289e1f76", "6eafe3fd654a18ad8fc15b2351c4921839587374", "9c6dfd3a38374399d998d5a130ffc2864c37f554", "987a649cb33302c41412419f8eeb77048aa5513e", "c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8", "aa1607090fbc80ab1e9c0f25ffe8b75b777e5fd8", "7e18b5f5b678aebc8df6246716bf63ea5d8d714e", "67386772c289cd40db343bdc4cb8cb4f58271df2", "bba281fe9c309afe4e5cc7d61d7cff1413b29558", "4d58f886f5150b2d5e48fd1b5a49e09799bf895d", "c8292aa152a962763185e12fd7391a1d6df60d07", "052bd24b03bd2acddf0aebae8111d4d2021c56b9", "af44049d138b4f0a3cd4664dc6e7ecde04a754aa", "1e2844dfdaabaf555fe6fa3162cfe454a4eeb3f6", "c5b623805ad8a2ef49ccb6e9b08d394c83061946", "e295f31df11ec700851c2413b9bba644a91b0629", "4f6e1fe403b13279cd4674615d6d07ce002c9dec", "851ff9fe367ae63e9d46e4f0560d283da81b361a", "4196e0b77f88ea01cd868c535befb52c2722454f", "ec0758185c9d565de715fa7cc03e93809284d9ac", "9c731b820c495904a6f7d255d7e6a3bf9e5fc365", "c7822b90a04f25e06d2fbed6b72a5ff89ff22c41", "b1a6a0fdb4c12d7e083bd4d828e0c469dec53205", "d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291", "864d50327a88d1ff588601bf14139299ced2356f", "2ee8900bbde5d3c81b7ed4725710ed46cc7e91cd", "daba8f0717f3f47c272f018d0a466a205eba6395", "3cd22b5b81a0172d608ff14be71b755d1f68c201", "e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc", "c2b10909a0dd068b8e377a55b0a1827c8319118a", "41c42cb001f34c43d4d8dd8fb72a982854e173fb", "a462c8b259724bc96a1e45e640e4897ce6a7ae99", "cdeef3983bfc6cdbea25cf720fc95e021b17f826", "42ecfc3221c2e1377e6ff849afb705ecd056b6ff", "0294f992f8dfd8748703f953925f9aee14e1b2a2", "06b4e41185734f70ce432fdb2b121a7eb01140af", "20a16efb03c366fa4180659c2b2a0c5024c679da", "3ca6adc90aae5912baa376863807191ffd56b34e", "94b9c0a6515913bad345f0940ee233cdf82fffe1", "7ed2c84fdfc7d658968221d78e745dfd1def6332", "ccbfc004e29b3aceea091056b0ec536e8ea7c47e", "9513503867b29b10223f17c86e47034371b6eb4f", "c5468665d98ce7349d38afb620adbf51757ab86f", "b7f08e42ac37f38cbcceaaca82331ae7b5ac16c9", "de15af84b1257211a11889b6c2adf0a2bcf59b42", "cdfa7dccbc9e9d466f8a5847004973a33c7fcc89", "ea5c9d5438cde6d907431c28c2f1f35e02b64b33", "cb5cda13a4ccbc32ce912d51e402363c1b501b32", "034c2ed71c31cb0d984d66c7ca753ef2cb6196ca", "4ac4e8d17132f2d9812a0088594d262a9a0d339b", "a7e1327bd76945a315f2869bfae1ce55bb94d165", "7f6599e674a33ed64549cd512ad75bdbd28c7f6c", "b445065871695dc73ef53be158ae899587099139", "57f8e1f461ab25614f5fe51a83601710142f8e88", "ecac3da2ff8bc2ba55981467f7fdea9de80e2092", "668bd405c5095872d9b5ba6fd356480e00d4c66a", "d8b568392970b68794a55c090c4dd2d7f90909d2", "ddf577e8b7c86b1122c1bc90cba79f641d2b33fa", "b3c398da38d529b907b0bac7ec586c81b851708f", "8010636454316faf1a09202542af040ffd04fefa", "6e1802874ead801a7e1072aa870681aa2f555f35", "1584edf8106e8f697f19b726e011b9717de0e4db", "fcbec158e6a4ace3d4311b26195482b8388f0ee9", "4f03ba35440436cfa06a2ed2a571fea01cb36598", "a9adb6dcccab2d45828e11a6f152530ba8066de6", "18166432309000d9a5873f989b39c72a682932f5", "b58d381f9f953bfe24915246b65da872aa94f9aa", "2a4774a811ec32f005a043653dd15eb184d96dfa", "5039b2081eb3c8efbf9e96fd27775731f38f6fc7", "227b18fab568472bf14f9665cedfb95ed33e5fce", "8802c93aa576aeb689871d353e7bf25dd4515582", "ff0617d750fa49416514c1363824b8f61baf8fb5", "bbf01aa347982592b3e4c9e4f433e05d30e71305", "cd72f92420c6ec9123d4e45b3d14548ffca3185f", "2afdda6fb85732d830cea242c1ff84497cd5f3cb", "0db1207563a66343cc7cb7b54356c767fc8b876c", "4a2d54ea1da851151d43b38652b7ea30cdb6dfb2", "a803453edd2b4a85b29da74dcc551b3c53ff17f9", "1e0add381031245b1d5129b482853ee738b498e1", "2b435ee691718d0b55d057d9be4c3dbb8a81526e", "27b451abfe321a696c852215bb7efb4c2e50c89f", "5f871838710a6b408cf647aacb3b198983719c31", "09e7397fbcf4cc54ee085599a3b9bb72539ab251", "b55f256bbd2e1a41ce6bfcd892dee12f5bcd7cb3", "149890e8580d7d6b24b054616fa9c13c127309f7", "21cbf46c6adfb3a44ed2b30ff0b21a8391c18b13", "fc45e44dd50915957e498186618f7a499953c6be", "0efdd82a4753a8309ff0a3c22106c570d8a84c20", "8ab465c1a131ee4bee6ac0a0b19dfe68f5dcdcc4", "923ede53b0842619831e94c7150e0fc4104e62f7", "1d30f813798c55ae4fe454829be6e2948ee841da", "f75852386e563ca580a48b18420e446be45fcf8d", "964eb383c1def6d1139e80d98d12d788c700734c", "4672513d0dbc398719d66bba36183f6e2b78947b", "266ee26a6115f1521ce374e4ab106d997c7b1407", "8966eb0853cb350aa49e9769013fa3c942d35206", "ed74363c54ef59e99a983e85f02be9d263f66ffb", "7fc76446d2b11fc0479df6e285723ceb4244d4ef", "35208eda874591eac70286441d19785726578946", "bfcdfc11f9a02a47bda6e571f1e5aa8a5264b4a8", "2e0e056ed5927a4dc6e5c633715beb762628aeb0", "4b507a161af8a7dd41e909798b9230f4ac779315", "57b7325b8027745b130490c8f736445c407f4c4c", "4309faac3248663ed56a6a841cac1855e302f090", "49068538b7eef66b4254cc11914128097302fab8", "16fc82d44188eb49a151bd5836a29911b3bfabcb", "c05441dd1bc418fb912a6fafa84c0659a6850bf0", "e4df83b7424842ff5864c10fa55d38eae1c45fac", "eccd9acba3f6a605053dbde7f0890836e52aa085", "ee92d36d72075048a7c8b2af5cc1720c7bace6dd", "25b2811118ed73c64682544fe78023bb8242c709", "27aa23d7a05368a6b5e3d95627f9bab34284e5c4", "7d53678ef6009a68009d62cd07c020706a2deac3", "df767f62a6bf3b09e6417d801726f2d5d642a202", "60d765f2c0a1a674b68bee845f6c02741a49b44e", "7368ceb7f5daf549560b4bddde33acce2f8abcf7", "6bcee7dba5ed67b3f9926d2ae49f9a54dee64643", "bcf4aa8ced63463cd2e11d0a6f6bc1f1441207d9", "85041e48b51a2c498f22850ce7228df4e2263372", "4215b34597d8ce1e8985afa8043400caf0ec7230", "b3f7c772acc8bc42291e09f7a2b081024a172564", "6e91be2ad74cf7c5969314b2327b513532b1be09", "0a29cee986471b495728b08756f135a2377d5a2a", "d5c66a48bc0a324750db3d295803f47f6060043d", "773ce00841a23d32727aa1f54c29865fefd4ce02", "59dac8b460a89e03fa616749a08e6149708dcc3a", "d983dda8b03ed60fa3afafe5c50f1d9a495f260b", "27ee8482c376ef282d5eb2e673ab042f5ded99d7", "27c9ddb72360f4cd0f715cd7ea82fa399af91f11", "014143aa16604ec3f334c1407ceaa496d2ed726e", "8185be0689442db83813b49e215bf30870017459", "153c8715f491272b06dc93add038fae62846f498", "f58d584c4ac93b4e7620ef6e5a8f20c6f6da295e", "b5930275813a7e7a1510035a58dd7ba7612943bc", "a9881ae58987da71b4c1ce01ba213eb4be2eef02", "d9072e6b7999bc2d5750eb58c67a643f38d176d6", "c0945953506a3d531331caf6c2b2a6d027e319f0", "fac5a9a18157962cff38df6d4ae69f8a7da1cfa8", "b54c477885d53a27039c81f028e710ca54c83f11", "e10952addc41232aaea041fa48d360a3208fb9a3", "b05943b05ef45e8ea8278e8f0870f23db5c83b23", "7f8cef6ba2f059e465b1b23057a6dbb23fba1c63", "ad7b6d2e8d66f720cc83323a0700c25006d49609", "7c6f5a701988423550c1b7b200424e59393fa50c", "7c7dfc71122c99959e561b62a7fc2764f13a401a", "ee5fe44871f5e36998a2fdfb20a511374cdd3877", "56e03f8fcd16332f764352ba6e72c9c5092cac0f", "f95321f4348cfacc52084aae2a19127d74426047", "82953e7b3d28ccd1534eedbb6de7984c59d38cd4", "39a19a687b3182054b30f36f627bc6875b09dbd3", "c44a3374b99cd3db01fef1e14c72e84d1917ebb9", "4d4736173a5e72c266e52f3a43bdcb2b58f237a2", "41272037f6a7a4058f9c52843b9025b7b3cd13a9", "4d01d78544ae0de3075304ff0efa51a077c903b7", "e5c687c8c84f1cdb9d9fbc9b6ff7518ff4d71056", "a200885bf6bfa0493d85e7617e65cdabe30a2dab", "a03448488950ee5bf50e9e1d744129fbba066c50", "72345fed8d068229e50f9ea694c4babfd23244a0", "cd596a2682d74bdfa7b7160dd070b598975e89d9", "a0e7f8771c7d83e502d52c276748a33bae3d5f81", "1b6c65442f2b572fb6c8fc9a7d5ae49a8e6d32ab", "8990f8ea6441f97597429686542b9cdc46ed47de", "e084b0e477ee07d78c32c3696ea22c94f5fdfbec", "50333790dd98c052dfafe1f9bf7bf8b4fc9530ba", "8dc9de0c7324d098b537639c8214543f55392a6b", "ecfa56b38ac2b58428d59c9b630b1437a9ff8278", "325b048ecd5b4d14dce32f92bff093cd744aa7f8", "1c4ceae745fe812d8251fda7aad03210448ae25e", "ad77056780328bdcc6b7a21bce4ddd49c49e2013", "b5efe2e53aa417367314c1a907d0fe8053c71ecd", "292eba47ef77495d2613373642b8372d03f7062b", "301b0da87027d6472b98361729faecf6e1d5e5f6", "44d93039eec244083ac7c46577b9446b3a071f3e", "0553c6b9ee3f7d24f80e204d758c94a9d6b375d2", "e48fb3ee27eef1e503d7ba07df8eb1524c47f4a6", "29a5d38390857e234c111f8bb787724c08f39110", "050eda213ce29da7212db4e85f948b812a215660", "28109b46be5b0c065c7564b9c79e229477a71dc8", "a26379d9993073d51611588c36f12db2b4ecb39a", "8f8a5be9dc16d73664285a29993af7dc6a598c83", "4d7bbaa2c7e89d5ba6940ee5804cf10a6b24d6ec", "31a2fb63a3fc67da9932474cda078c9ac43f85c5", "539287d8967cdeb3ef60d60157ee93e8724efcac", "39c8ed5213882d4dbc74332245ffe201882c5de1", "5e7cb894307f36651bdd055a85fdf1e182b7db30", "71f9861df104b90399dc15e12bbb14cd03f16e0b", "3cd7b15f5647e650db66fbe2ce1852e00c05b2e4", "952138ae6534fad573dca0e6b221cdf042a36412", "030c82b87e3cdc5ba35c443a93ff4a9d21c2bc2f", "9b8830655d4a5a837e3ffe835d14d6d71932a4f2", "391b273af237b69ebbdfacb8e33b8e873421c780", "63cff99eff0c38b633c8a3a2fec8269869f81850", "c8829013bbfb19ccb731bd54c1a885c245b6c7d7", "ccb95192001b07bb25fc924587f9682b0df3de8e", "2a79bd36c56fd1634ca0f8089fe8aa9343eb92ce", "3d741315108b95cdb56d312648f5ad1c002c9718", "c32c8bfadda8f44d40c6cd9058a4016ab1c27499", "2f78e471d2ec66057b7b718fab8bfd8e5183d8f4", "a8583e80a455507a0f146143abeb35e769d25e4e", "1679943d22d60639b4670eba86665371295f52c3", "e6c834c816b5366875cf3060ccc20e16f19a9fc6", "51dcb36a6c247189be4420562f19feb00c9487f8", "06719154ab53d3a57041b2099167e3619f1677bc", "1eec03527703114d15e98ef9e55bee5d6eeba736", "126204b377029feb500e9b081136e7a9010e3b6b", "70bf1769d2d5737fc82de72c24adbb7882d2effd", "fafe69a00565895c7d57ad09ef44ce9ddd5a6caa", "11fdd940c9a23a34f7ab59809c26a02bce35c5f3", "5dafab3c936763294257af73baf9fb3bb1696654", "8c13f2900264b5cf65591e65f11e3f4a35408b48", "e9b0a27018c7151016a9fe01c98b4c21d6ebf4be", "6f48e5e258da11e6ba45eeabe65a5698f17e58ef", "e6f3707a75d760c8590292b54bc8a48582da2cd4", "91d2fe6fdf180e8427c65ffb3d895bf9f0ec4fa0", "0066caed1238de95a431d836d8e6e551b3cde391", "fe5d6c65e51386f4d36f7434fe6fcd9494fe9361", "b4c3743b10fffd2d44465f29a78c136e623295ff", "9e94d174d9076b5c3200ce895a4b4e50a3a02705", "62c72d82471dc22631433bbf41ec4b5491e71852", "61f1b14f04d2fa1d8a556adbdf93050b4637f44b", "26a89701f4d41806ce8dbc8ca00d901b68442d45", "3e59d97d42f36fc96d33a5658951856a555e997b", "5397c34a5e396658fa57e3ca0065a2878c3cced7", "1c6be6874e150898d9db984dd546e9e85c85724e", "171389529df11cc5a8b1fbbe659813f8c3be024d", "a54e0f2983e0b5af6eaafd4d3467b655a3de52f4", "46072f872eee3413f9d05482be6446f6b96b6c09", "016a8ed8f6ba49bc669dbd44de4ff31a79963078", "b7f05d0771da64192f73bdb2535925b0e238d233", "365a39662089e507b2d146a5232dbe2132813f85", "421e5b79bf83be03d6b1ffa61929206b7dc1e8d8", "0d5824e14593bcb349d636d255ba274f98bbb88f", "40c1de7b1b0a087c590537df55ecd089c86e8bfc", "0a297523188b03fdf9d2155bfdcca7e1bcab3762", "4f0d5cbcd30fef3978b9691c2e736daed2f841c1", "45215e330a4251801877070c85c81f42c2da60fb", "7753e3b9e158289cbaa22203166424ca9c229f68", "097f674aa9e91135151c480734dda54af5bc4240", "32b76220ed3a76310e3be72dab4e7d2db34aa490", "297d3df0cf84d24f7efea44f87c090c7d9be4bed", "7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d", "d43b6ca9257e9b24f89eb3867f2c04068a78c778", "89896474f007c99f5967bcc05a952654a3bbb736", "1a41831a3d7b0e0df688fb6d4f861176cef97136", "20b405d658b7bb88d176653758384e2e3e367039", "8562b4f63e49847692b8cb31ef0bdec416b9a87a", "b5fc4f9ad751c3784eaf740880a1db14843a85ba", "0d8415a56660d3969449e77095be46ef0254a448", "2cac70f9c8140a12b6a55cef834a3d7504200b62", "f3ba1a131d92975c2355f76dd3c97e1a9e043be8", "6691dfa1a83a04fdc0177d8d70e3df79f606b10f", "ce9a61bcba6decba72f91497085807bface02daf", "795b555abb26e62ad89a93645122da530327c447", "d0a40d6c1a0a0f20996a551fb784e00e741025b9", "18e54b74ed1f3c02b7569f53a7d930d72fc329f5", "f9d1f12070e5267afc60828002137af949ff1544", "3cb0ef5aabc7eb4dd8d32a129cb12b3081ef264f", "d6a5eb4377e2a67420778eab61b5a89046307bae", "199c2df5f2847f685796c2523221c6436f022464", "5748652924084b7b0220cddcd28f6b2222004359", "ee744ea13a0bbeba5de85ca3c75c9749054835e7", "c4b00e86841db3fced2a5d8ac65f80d0d3bbe352", "e99665790f3d2f19a25cdad4d07226f339f2522b", "69526cdf6abbfc4bcd39616acde544568326d856", "141eab5f7e164e4ef40dd7bc19df9c31bd200c5e", "6c27eccf8c4b22510395baf9f0d0acc3ee547862", "ad339a5fdaab95f3c8aad83b60ceba8d76107fa2", "d91a5589fd870bf62b7e4979d9d47e8acf6c655d", "93cd5c47e4a3425d23e3db32c6eaef53745bb32e", "bb69f750ccec9624f6dabd334251def2bbddf166", "0f4cfcaca8d61b1f895aa8c508d34ad89456948e", "49394a5e0ca1d4bb77d8c9bfa963b8b8cb761ecf", "d7dd35a86117e46d24914ef49ccd99ea0a7bf705", "c92da368a6a886211dc759fe7b1b777a64d8b682", "283d381c5c2ba243013b1c4f5e3b29eb906fa823", "9fd1b8abbad25cb38f0c009288fb5db0fc862db6", "8fb2ec3bbd862f680be05ef348b595e142463524", "06ab24721d7117974a6039eb2e57d1545eee5e46", "5a87bc1eae2ec715a67db4603be3d1bb8e53ace2", "fe97d46c34630d14235132a95fb2d2ed7b2c4663", "69063f7e0a60ad6ce16a877bc8f11b59e5f7348e", "d36155b6f5143c784e203df82cd0de77669ecba3", "dcce3d7e8d59041e84fcdf4418702fb0f8e35043", "40cd062438c280c76110e7a3a0b2cf5ef675052c", "c6a4b23ead2dab3d5dc02a5916d4c383f0c53007", "f4c01fc79c7ead67899f6fe7b79dd1ad249f71b0", "7d306512b545df98243f87cb8173df83b4672b18", "88c21e06ed44da518a7e346fce416efedc771704", "3f57c3fc2d9d4a230ccb57eed1d4f0b56062d4d5", "44f65e3304bdde4be04823fd7ca770c1c05c2cef", "92fada7564d572b72fd3be09ea3c39373df3e27c", "15e27f968458bf99dd34e402b900ac7b34b1d575", "b208f2fc776097e98b41a4ff71c18b393e0a0018", "e94168c35be1d4b4d2aaf42ef892e64a3874ed8c", "68d566ed4041a7519acb87753036610bd64dcc09", "e051022e1b260fe539e243f45899c37d2d7272d2", "e865908ed5e5d7469b412b081ca8abd738c72121", "cfd8c66e71e98410f564babeb1c5fd6f77182c55", "7f1f3d7b1a4e7fc895b77cb23b1119a6f13e4d3a", "1ecb56e7c06a380b3ce582af3a629f6ef0104457", "3d0f9a3031bee4b89fab703ff1f1d6170493dc01", "5d0f72174e9ca1d620227b53ab1bbd8263fb4a9e", "a63ec22e84106685c15c869aeb157aa48259e855", "c466ad258d6262c8ce7796681f564fec9c2b143d", "caaa6e8e83abb97c78ff9b813b849d5ab56b5050", "346d6b452205cbe23f552b82ab8cbd81080211f4", "60a20d5023f2bcc241eb9e187b4ddece695c2b9b", "dbcfefa92edab8d1ffe8bc1cc66ad80fb13d2b6a", "c40c23e4afc81c8b119ea361e5582aa3adecb157", "96dc579850855c2c53a5d09a8a7438f225d4e4dc", "aba770a7c45e82b2f9de6ea2a12738722566a149", "7c2ec6f4ab3eae86e0c1b4f586e9c158fb1d719d", "9ee6956305ab69b3a0469f0406c6b1473bc69abe", "2ca43325a5dbde91af90bf850b83b0984587b3cc", "3fc173805ed43602eebb7f64eea4d60c0386c612", "55079a93b7d1eb789193d7fcdcf614e6829fad0f", "f52efc206432a0cb860155c6d92c7bab962757de", "fd38163654a0551ed7f4e442851508106e6105d9", "d231a81b38fde73bdbf13cfec57d6652f8546c3c", "35ec9b8811f2d755c7ad377bdc29741b55b09356", "aebb9649bc38e878baef082b518fa68f5cda23a5", "ab989225a55a2ddcd3b60a99672e78e4373c0df1", "557115454c1b8e6eaf8dbb65122c5b00dc713d51", "6f8cffd9904415c8fa3a1e650ac143867a04f40a", "e013c650c7c6b480a1b692bedb663947cd9d260f", "7cf8a841aad5b7bdbea46a7bb820790e9ce12d0b", "6f68c49106b66a5bd71ba118273b4c5c64b6619f", "e3bb83684817c7815f5005561a85c23942b1f46b", "73d53a7c27716ae9a6d3484e78883545e53117ae", "d72973a72b5d891a4c2d873daeb1bc274b48cddf", "77e747b12d22827fa84f506eefdac4ec37948359", "55138c2b127ebdcc508503112bf1d1eeb5395604", "3aebaaf888cba25be25097173d0b3af73d9ce7f9", "7bfe085c10761f5b0cc7f907bdafe1ff577223e0", "2251a88fbccb0228d6d846b60ac3eeabe468e0f1", "cd824567936e0987e18e1157045a038262bab759", "adb040081974369c46b943e9f75be4e405623102", "a0beb0cc6f167373f8b4b7458ff0ec42fc290a75", "e03bda45248b4169e2a20cb9124ae60440cad2de", "8acdc4be8274e5d189fb67b841c25debf5223840", "e2f91b21f3755914c193a546ba8718acf81c845b", "3d0ef9bfd08a9252db6acfece3b83f3aa58b4cae", "3a0ea368d7606030a94eb5527a12e6789f727994", "2331df8ca9f29320dd3a33ce68a539953fa87ff5", "4b8c736524d548472d0725c971ee29240ae683f6", "507ca34d7e43551e1ead360fdfcc2e4515359324", "48eb6e33c48d5cee7bdce2a0f8591797905a49f0", "05270b68547a2cd5bda302779cfc5dda876ae538", "5a029a0b0ae8ae7fc9043f0711b7c0d442bfd372", "7701952e405c3d8a0947e2a309de281aa76bd3f4", "34863ecc50722f0972e23ec117f80afcfe1411a9", "1f89439524e87a6514f4fbe7ed34bda4fd1ce286", "57a1466c5985fe7594a91d46588d969007210581", "4aea1213bdb5aa6c74b99fca1afc72d8a99503c6", "e4391993f5270bdbc621b8d01702f626fba36fc2", "3db75962857a602cae65f60f202d311eb4627b41", "321bd4d5d80abb1bae675a48583f872af3919172", "b3e60bb5627312b72c99c5ef18aa41bcc1d21aea", "c833c2fb73decde1ad5b5432d16af9c7bee1c165", "30188b836f2fa82209d7afbf0e4d0ee29c6b9a87", "a6496553fb9ab9ca5d69eb45af1bdf0b60ed86dc", "cd66a1d08db3d56c91156797659b96dce8aa015f", "7fce5769a7d9c69248178989a99d1231daa4fce9", "64d5772f44efe32eb24c9968a3085bc0786bfca7", "404042a1dcfde338cf24bc2742c57c0fb1f48359", "a07f78124f83eef1ed3a6f54ba982664ae7ca82a", "9cd6a81a519545bf8aa9023f6e879521f85d4cd1", "0ebc50b6e4b01eb5eba5279ce547c838890b1418", "fac8cff9052fc5fab7d5ef114d1342daba5e4b82", "0a451fc7d2c6b3509d213c210ae880645edf90ed", "e27b2cabdfdd6bf3ffb3ebce1b4c55adb1e80c8f", "180f5289a3d365fbb084178afda0b7c90d4afd06", "5f6fafa788bd1b25c3c462c4013fd8fc0049be74", "476f177b026830f7b31e94bdb23b7a415578f9a4", "35f084ddee49072fdb6e0e2e6344ce50c02457ef", "814369f171337ee1d8809446b7dbfc5e1ef9f4b5", "9cfb3a68fb10a59ec2a6de1b24799bf9154a8fd1", "adad7446e371d27fdaee39475856e2058f3045e5", "b017963d83b3edf71e1673d7ffdec13a6d350a87", "4f773c8e7ca98ece9894ba3a22823127a70c6e6c", "a56b0f76919aabe8b768f5fbaeca412276365aa2", "89c51f73ec5ebd1c2a9000123deaf628acf3cdd8", "ae96fc36c89e5c6c3c433c1163c25db1359e13ea", "846c028643e60fefc86bae13bebd27341b87c4d1", "4c0846bcfa64d9e810802c5b7ef0f8b43523fe54", "9e1c3b8b1653337094c1b9dba389e8533bc885b0", "d715c221c84931c42b6f7f6bc1e555afdce3fc3d", "75e5a1a64d9d27dbb054fc8b8d47f0e23cbbbfa4", "0447bdb71490c24dd9c865e187824dee5813a676", "e41246837c25d629ca0fad74643fb9eb8bf38009", "6459f1e67e1ea701b8f96177214583b0349ed964", "d1ee9e63c8826a39d75fa32711fddbcc58d5161a", "ad6cc071b2585e4bdb6233b7ad8d63e12538537d", "521b670709a344b299dbb7824f419c63b1b9da46", "9255d3b2bfee4aaae349f68e67c76a077d2d07ad", "621f656fedda378ceaa9c0096ebb1556a42e5e0f", "9d06d43e883930ddb3aa6fe57c6a865425f28d44", "07c90e85ac0f74b977babe245dea0f0abcf177e3", "92c2dd6b3ac9227fce0a960093ca30678bceb364", "b1db9b9ace4f71a8a59188f0aa7e96687337e2eb", "e5ea7295b89ef679e74919bf957f58d55ad49489", "dab795b562c7cc270c9099b925d685bea0abe82a", "27883967d3dac734c207074eed966e83afccb8c3", "4e94e7412d180da5a646f6a360e75ba2128f93aa", "dd8d53e67668067fd290eb500d7dfab5b6f730dd", "6a5fe819d2b72b6ca6565a0de117c2b3be448b02", "7b3b7769c3ccbdf7c7e2c73db13a4d32bf93d21f", "9d61b0beb3c5903fc3032655dc0fd834ec0b2af3", "d40cd10f0f3e64fd9b0c2728089e10e72bea9616", "98519f3f615e7900578bc064a8fb4e5f429f3689", "621ed006945e9438910b5aa4f6214888dea3d791", "98856ab9dc0eab6dccde514ab50c823684f0855c", "cf7a4442a6aad0e08d4aade8ec379c44f84bca8a", "2b8c5017633a82b15dbe0047cfc76ffdce462176", "a52581a7b48138d7124afc7ccfcf8ec3b48359d0", "40a34d4eea5e32dfbcef420ffe2ce7c1ee0f23cd", "4ea4116f57c5d5033569690871ba294dc3649ea5", "10bf35bf98cfe555dfc03b5f03f2769d330e3af9", "ba931c3f90dd40a5db4301a8f0c71779a23043d6", "10ce3a4724557d47df8f768670bfdd5cd5738f95", "9cd4f72d33d1cedc89870b4f4421d496aa702897", "8605e8f5d84b8325b1a81d968c296a5a5d741f31", "642c66df8d0085d97dc5179f735eed82abf110d0", "e7de6f8d6558e91c3154920b3400cb237ca43f8a", "4c1528bab3142ec957700ab502531e1a67e7f2f6", "c648d2394be3ff0c0ee5360787ff3777a3881b02", "f437b3884a9e5fab66740ca2a6f1f3a5724385ea", "d2b3166b8a6a3e6e7bc116257e718e4fe94a0638", "2a02355c1155f2d2e0cf7a8e197e0d0075437b19", "0a79d0ba1a4876086e64fc0041ece5f0de90fbea", "a3a34c1b876002e0393038fcf2bcb00821737105", "e95c5aaa72e72761b05f00fad6aec11c3e2f8d0f", "4276eb27e2e4fc3e0ceb769eca75e3c73b7f2e99", "d44d911c045a6df610cb4103f1ab09827fab8296", "6d1cf703ae488b8e116b3b756b9e99b37ba68947", "0b183f5260667c16ef6f640e5da50272c36d599b", "b86c49c6e3117ea116ec2d8174fa957f83502e89", "c59b62864a6d86eead075c88137a87070a984550", "00cb35cadee5c1ea11bd4c37cdfd234859c69617", "61f48dce1766af1decc47186fe48f9c8160e5a20", "7adaad633d3002f88cdee105d9c148e013202a06", "d116bac3b6ad77084c12bea557d42ed4c9d78433", "e1f6e2651b7294951b5eab5d2322336af1f676dc", "9175b123837ecf55a9aae6c40ba245ddacbc37d5", "ef940b76e40e18f329c43a3f545dc41080f68748", "b1a8315b4843da3d0b61c933a11d9b152cfaae70", "7c4c442e9c04c6b98cd2aa221e9d7be15efd8663", "daca9d03c1c951ed518248de7f75ff51e5c272cb", "9227c1a5b26556b9c34015b3ea5f9ae5f50e9b23", "306127c3197eb5544ab1e1bf8279a01e0df26120", "a98ff1c2e3c22e3d0a41a2718e4587537b92da0a", "2533c88b278e84a248200d3c5a281177d392e78f", "5ac80e0b94200ee3ecd58a618fe6afd077be0a00", "7d8798e7430dcc68fcdbd93053c884fc44978906", "f49aebe58d30241f12c1d7d9f4e04b6e524d7a45", "46b0f9a549c546a06e6e383de4dea97dea382285", "97137d5154a9f22a5d9ecc32e8e2b95d07a5a571", "265a88a8805f6ba3efae3fcc93d810be1ea68866", "245f8ec4373e0a6c1cae36cd6fed5a2babed1386", "448ed201f6fceaa6533d88b0b29da3f36235e131", "82a4a35b2bae3e5c51f4d24ea5908c52973bd5be", "d6c7092111a8619ed7a6b01b00c5f75949f137bf", "fdbacf2ff0fc21e021c830cdcff7d347f2fddd8e", "863bf7728f8506b021c2582885905a83d507a0b8", "e1a0d0c2f67af61b454dd03aa96fa5aca485a351", "2d94dfa9c8f6708e071ef38d58f9f9bcb374cd84", "2f5ca5c5c983c23bcfe897aa467fde4097188f52", "40389b941a6901c190fb74e95dc170166fd7639d", "303225eaedd489f61ac36e1f39cd04db7fd8bd41", "e51e94cc3c74adf0cccfac3a8035a10016ce8a3b", "1b4bc7447f500af2601c5233879afc057a5876d8", "7a6e3ed956f71b20c41fbec008b1fa8dacad31a6", "2b84630680e2c906f8d7ac528e2eb32c99ef203a", "d7ecfb6108a379a0abf76bf3105b4c9baca8f84f", "65d25ef512688d6f491be3bced2fee8f8e181c80", "baad4e7ab0942a6b93ee2df39685f928efdae006", "f7a271acccf9ec66c9b114d36eec284fbb89c7ef", "65fc8393610fceec665726fe4e48f00dc90f55fb", "2bacfe91bac3ab256652bccb1712bf4a23e93f30", "835e510fcf22b4b9097ef51b8d0bb4e7b806bdfd", "1be785355ae29e32d85d86285bb8f90ea83171df", "d3b73e06d19da6b457924269bb208878160059da", "394ea2610db6bcaeb85c81c3d438a9813cae3fc6", "a006cd95c14de399706c5709b86ac17fce93fcba", "b5f9180666924a3215ab0b1faf712e70b353444d", "808656563eea17470159e6540b05fe6f7ae58c2b", "69ba86f7aac7b7be0ac41d990f5cd38400158f96", "0d8d4e25daae586c42c2c956404e54959067c2cb", "3dec830b2514e82c714162622b3077966660112f", "5a86842ab586de9d62d5badb2ad8f4f01eada885", "445461a34adc4bcdccac2e3c374f5921c93750f8", "367951ba687e4e52ca4ee1327627b332afc45fae", "f66add890c2458466e1cb942ad3981f8651ace2d", "fa5ab4b1b45bf22ce7b194c20c724946de2f2dd4", "85e78aa374d85f9a61da693e5010e40decd3f986", "22ec8af0f0e5469e40592d29e28cfbdf1154c666", "4aefd3ffa712a9b7d9db0615d4ee1932de6060d6", "74879f53e3e5fa580bdb3e2693861bdf40c0a8c1", "3e1190655cc7c1159944d88bdbe591b53f48d761", "84f3c4937cd006888b82f2eb78e884f2247f0c4e", "1c5d7d02a26aa052ecc47d301de4929083e5d320", "a939e287feb3166983e36b8573cd161d12097ad8", "b234cd7788a7f7fa410653ad2bafef5de7d5ad29", "914d7527678b514e3ee9551655f55ffbd3f0eb0a", "0b6a5200c33434cbfa9bf24ba482f6e06bf5fff7", "4e43408a59852c1bbaa11596a5da3e42034d9380", "0c54e9ac43d2d3bab1543c43ee137fc47b77276e", "a3ed0f15824802359e05d9777cacd5488dfa7dba", "d975a535cbf3e0a502a30ff7ad037241f9b798ae", "349434653429733f5f49fe0e160027d994cef115", "98c548a4be0d3b62971e75259d7514feab14f884", "ace1e0f50fe39eb9a42586f841d53980c6f04b11", "9636c7d3643fc598dacb83d71f199f1d2cc34415", "b126b6cf66f9ee5c6e33239eaaeae69bf4703287", "293193d24d5c4d2975e836034bbb2329b71c4fe7", "337b5f0e70e04349da17e8069936e2260390aca0", "e1ab3b9dee2da20078464f4ad8deb523b5b1792e", "cb992fe67f0d4025e876161bfd2dda467eaec741", "a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9", "d9d7a4b64b13ed1bce89d3cbbabe62e78d70b3fb", "35683a325c4fa02e9335dccbca9b67e2b55b87ec", "2fdce3228d384456ea9faff108b9c6d0cf39e7c7", "a55ec6bade29f23f8cb1337edf417b2da2f48695", "83371cf672af3f9aa75d921db536ee82e51a7823", "ec22eaa00f41a7f8e45ed833812d1ac44ee1174e", "48901e44cd3e17efcfc9866982f8bd7b2c26b99d", "493bc7071e35e7428336a515d1d26020a5fb9015", "c0f9fae059745e50658d9605bd8875fc3a2d0b4b", "9b7974d9ad19bb4ba1ea147c55e629ad7927c5d7", "14ae16e9911f6504d994503989db34d2d1cb2cd4", "d7cd916fd6ef2ea86bf6a1dc63df236f70c954b4", "c8bc8c99acd009e4d27ddd8d9a6e0b899d48543e", "d7b7253f7d8b397d9d74057e1e72ed9c58e2ba6d", "d264dedfdca8dc4c71c50311bcdd6ba3980eb331", "1c4404885443b65b7cbda3c131e54f769fbd827d", "df3a9e4a3570704af677cdec25d13271fb9920c2", "939d28859c8bd2cca2d692901e174cfd599dac74", "09e5b313587445280073555038c0ac5bf090628e", "d57c25c50e5e25fb07fc80b3c3d77b45e16e98cf", "b503f481120e69b62e076dcccf334ee50559451e", "252f202bfb14d363a969fce19df2972b83fa7ec0", "b8a16fcb65a8cee8dd32310a03fe36b5dff9266a", "a3a6a6a2eb1d32b4dead9e702824375ee76e3ce7", "be89d0288944090b86b761a1912fb5248f366c21", "ce70dd0d613b840754dce528c14c0ebadd20ffaa", "7ab8cafe454a9fd0fe5d51e718a010ef552b9271", "8b1fa60b9164b60d1ca2705611fab063505a3ef5", "4edf2e8ade64a2eb72ceafa1963e13006c0ad3b1", "af74c3fcb3f725c40868826ac7eacd81de29a210", "56edc2e6edf9f95a9b721fb860584655c2980144", "4dd2be07b4f0393995b57196f8fc79d666b3aec5", "b9f21812da61521303b7bbca8f79cb6e27a1e62e", "4dce568994fb43095067ac893bbc079058494587", "78e1798c3077f4f8a4df04ca35cd73f82e9a38f3", "0a3863a0915256082aee613ba6dab6ede962cdcd", "80b6e6f98d4374cf254814ad2c42f2fd8dd4e6f6", "721d9c387ed382988fce6fa864446fed5fb23173", "d30050cfd16b29e43ed2024ae74787ac0bbcf2f7", "aae742779e8b754da7973949992d258d6ca26216", "f3cdd2c3180aa2bf08320ddd3b9a56f9fe00e72b", "636c786d4e4ac530ac85e3883a2f2cf469e45fe2", "fe556c18b7ab65ceb57e1dd054a2ca21cefe153c", "0701b01bc99bf3b64050690ceadb58a8800e81ed", "cc52d5d5a5c80df5499cca0a2427cea42f66cdb2", "52736a11bf370c53324ba27c891ae0b15b2e531c", "3af8d38469fb21368ee947d53746ea68cd64eeae", "5721216f2163d026e90d7cd9942aeb4bebc92334", "064cd41d323441209ce1484a9bba02a22b625088", "c0cdaeccff78f49f4604a6d263dc6eb1bb8707d5", "0ca754ce762198ab653548fdb948b36325bd8f9c", "8bb21b1f8d6952d77cae95b4e0b8964c9e0201b0", "b7e7f9aaf58b2f91c902fdb6d158ba9c49f44c29", "d99743ab1760b09b1bb88bc6e1dc5b9d0e48baac", "887b7676a4efde616d13f38fcbfe322a791d1413", "6f288a12033fa895fb0e9ec3219f3115904f24de", "bad15b4dea2399d57ee17f33a5ba8f04b012ef63", "09750c9bbb074bbc4eb66586b20822d1812cdb20", "ebce3f5c1801511de9e2e14465482260ba5933cc", "01c0e41abceafb7d93b837238096512586ee5667", "359edbaa9cf56857dd5c7c94aaef77003ba8b860", "3b80bf5a69a1b0089192d73fa3ace2fbb52a4ad5", "e9cebf627c204c6949dcc077d04c57eb66b2c038", "23fd653b094c7e4591a95506416a72aeb50a32b5", "8a91ad8c46ca8f4310a442d99b98c80fb8f7625f", "6e7ffd67329ca6027357a133437505bc56044e65", "e9f1cdd9ea95810efed306a338de9e0de25990a0", "464ef1b3dcbe84099c904b6f9e9281c5f6fd75eb", "592370b4c7b58a2a141e507f3a2cc5bbd247a62e", "df6e68db278bedf5486a80697dec6623958edba8", "6ae96f68187f1cdb9472104b5431ec66f4b2470f", "d91f9e8cbf271004ef1a293401197a10a26ccd1b", "949fff3b0a73c81e7ff3d47caf7fbf9c664bcc70", "b351575e3eab724d62d0703e24ecae55025eef00", "ab2b09b65fdc91a711e424524e666fc75aae7a51", "f9e3a51a38a37b896c895254e619106e9e6a0c96", "11a2ef92b6238055cf3f6dcac0ff49b7b803aee3", "9f89514e3f6dc90df33567c6b16d77a9745d61c0", "c59104e304297bf732cdb062efcde52fb52a0d53", "318e7e6daa0a799c83a9fdf7dd6bc0b3e89ab24a", "31c34a5b42a640b824fa4e3d6187e3675226143e", "e43ea078749d1f9b8254e0c3df4c51ba2f4eebd5", "f8ea0f76f2044168040fcd0a9e81072c88cde4a4", "0773c320713dae62848fceac5a0ac346ba224eca", "2e091ec49b3d7a1f5647d9cdb844d72d33c05204", "b2ddea9c71cd73fa63e09e8121bc7a098fae70b4", "402f6db00251a15d1d92507887b17e1c50feebca", "610779e90b644cc18696d7ac7820d3e0598e24d0", "b2f9e0497901d22b05b9699b0ea8147861c2e2cc", "4cb538b0b30dc6b425d2b5a5305d8a629cb1a847", "afc7092987f0d05f5685e9332d83c4b27612f964", "5760d29574d78e79e8343b74e6e30b3555e48676", "c87c07d44633eca2cc1d11d2d967fc66eb8de871", "9117fd5695582961a456bd72b157d4386ca6a174", "03fe3d031afdcddf38e5cc0d908b734884542eeb", "fe63d1b1fd5a5f768be4338dea033348cb82130d", "29ee844b4c2184a30f6bed3eb9174add6a768ecb", "594ec0a7839885169c65133cfe50164d4cc74b5c", "570308801ff9614191cfbfd7da88d41fb441b423", "714d487571ca0d676bad75c8fa622d6f50df953b", "e16eeed2ada9166a035d238b1609462928db69db", "ec1bec7344d07417fb04e509a9d3198da850349f", "615016f45e89baea5c0aa3307efc41b458afb8af", "58e7dbbb58416b785b4a1733bf611f8106511aca", "dec76940896a41a8a7b6e9684df326b23737cd5d", "0bc0f9178999e5c2f23a45325fa50300961e0226", "4cfe921ac4650470b0473fd52a2b801f4494ee64", "64f9519f20acdf703984f02e05fd23f5e2451977", "8d91f06af4ef65193f3943005922f25dbb483ee4", "d6bfa9026a563ca109d088bdb0252ccf33b76bc6", "f3553148e322f4f64545d6667dfbc7607c82703a", "1b1173a3fb33f9dfaf8d8cc36eb0bf35e364913d", "98fb3890c565f1d32049a524ec425ceda1da5c24", "d0b67ec62086b55f00dc461ab58dc87b85388b2b", "6d4103762e159130b32335cbf8893ee4dca26859", "3f7723ab51417b85aa909e739fc4c43c64bf3e84", "c3e53788370341afe426f2216bed452cbbdaf117", "8b9e94fb3bb64389e9765ffde365862231b5972c", "2e98329fdec27d4b3b9b894687e7d1352d828b1d", "6fa0c206873dcc5812f7ea74a48bb4bf4b273494", "9b42fb48d5ac70b6ca5382f50e71ed8bf3a84710", "745d49a2ff70450113f07124c2c5263105125f58", "858b51a8a8aa082732e9c7fbbd1ea9df9c76b013", "1d7dde30b8d0f75576f4a23b75b8350071fd4839", "540b39ba1b8ef06293ed793f130e0483e777e278", "99d06fe2f4d6d76acf40b6da67c5052e82055f5a", "23086a13b83d1b408b98346cf44f3e11920b404d", "11408af8861fb0a977412e58c1a23d61b8df458c", "b12feeaa5d22c439b53f8c57bf65500af324dd44", "86b51bd0c80eecd6acce9fc538f284b2ded5bcdd", "fba386ac63fe87ee5a0cf64bf4fb90324b657d61", "4492914df003d690e5ff3cb3e0e0509a51f7753e", "9bd3cafa16a411815f8f87ed3eb3cafefc25e5a3", "2a826273e856939b58be8779d2136bffa0dddb08", "2911e7f0fb6803851b0eddf8067a6fc06e8eadd6", "71b376dbfa43a62d19ae614c87dd0b5f1312c966", "503c0b83c64878eddec6f71798b7877f2ae1967e", "9e4b052844d154c3431120ec27e78813b637b4fc", "ea8d217231d4380071132ce37bf997164b60ec44", "da15344a4c10b91d6ee2e9356a48cb3a0eac6a97", "c8e84cdff569dd09f8d31e9f9ba3218dee65e961", "32f7e1d7fa62b48bedc3fcfc9d18fccc4074d347", "84e4b7469f9c4b6c9e73733fa28788730fd30379", "2e8a0cc071017845ee6f67bd0633b8167a47abed", "3506518d616343d3083f4fe257a5ee36b376b9e1", "e9bb045e702ee38e566ce46cc1312ed25cb59ea7", "9b318098f3660b453fbdb7a579778ab5e9118c4c", "182470fd0c18d0c5979dff75d089f1da176ceeeb", "8a2210bedeb1468f223c08eea4ad15a48d3bc894", "7b63ed54345d8c06523f6b03c41a09b5c8f227e2", "d9e82c5c6bd4869278ff6f263e4b1b304d49c82e", "962812d28a169b3fc1d4323f8d0fca69a22dac4c", "9ce2fd6ae16b339886d0ce237faae811230c8ce6", "176e6ba56e04c98e1997ffdef964ece90fd827b4", "1159ff04fd17c59515199e0fc2d5e01e72818b59", "1473e6f2d250307f0421f1e2ea68b6485d3bd481", "b1df214e0f1c5065f53054195cd15012e660490a", "bdbba95e5abc543981fb557f21e3e6551a563b45", "ddea3c352f5041fb34433b635399711a90fde0e8", "60c24e44fce158c217d25c1bae9f880a8bd19fc3", "4e581831d24fd90b0b5228b9136e76fa3e8f8279", "bc78f0086ba2ceaadd0094003a5ab02df21a7bad", "3e452ca67e17e4173ec8dfbd4a2b803ad2ee5a48", "8dd05e2d604531a8df730843fecbd608fdcce821", "0aa405447a8797e509521f0570e4679a42fdac9b", "c47bd9f6eb255da525dbcdfc111609c90bc4d2ae", "0be80da851a17dd33f1e6ffdd7d90a1dc7475b96", "b95d13d321d016077bd2906f7fbd9be7c3643475", "9ca93ad6200bfa9dd814ac64bfb1044c3a0c01ce", "8144160b206e77d1c27927ec8f017b1c55965571", "0b0c2d9db83b4f002f23f4a20cfc5a3d10295372", "915ff2bedfa0b73eded2e2e08b17f861c0e82a58", "07440622b6b237b170136b5be4b6ea44f6578b5b", "5dc51e2bcda3a104edd3fd45b4d2b7e447a7b774", "48255c9e1d6e1d030728d33a71699757e337be08", "d5b445c5716952be02172ca4d40c44f4f04067fa", "c12034ca237ee330dd25843f2d05a6e1cfde1767", "88780bd55615c58d9bacc4d66fc2198e603a1714", "d122d66c51606a8157a461b9d7eb8b6af3d819b0", "7be60f8c34a16f30735518d240a01972f3530e00", "0d902541c26f03ff95221e0e71d67c39e094a61d", "3d9db1cacf9c3bb7af57b8112787b59f45927355", "543d2992bd50aee2019b5553ceb64f84afcd83db", "9d24812d942e69f86279a26932df53c0a68c4111", "a1cecbb759c266133084d98747d022c1e638340d", "5e87f5076952cd442718d6b4addce905bae1a1a4", "608b01c70f0d1166c10c3829c411424d9ef550e7", "c8910e52d9b50cefdb1e49b3cc8ee8fff7758456", "1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6", "94b729f9d9171e7c4489995e6e1cb134c8521f4e", "9fd8d24a9db7cbcdf607994051d89667e95d7186", "6b4b73367fe7002ff363749ccbc209817647f17a", "42dc1647c1bc074b72527e463367bc77b2b16d9e", "f0f80055ab85254ca58c1b08017969a0c355881f", "df87193e15a19d5620f5a6458b05fee0cf03729f", "3c5f390f99272c59fcf822ab78c90ee6bfa7926a", "9b66c4bf3e50bcd32918c2b0d5bfd30240ea9cf6", "a63638b26d36bab8db10bd95fb287c727bab33ec", "1f5f67d315c9dad341d39129d8f8fe7fa58e564c", "1831800ef8b1f262c92209f1ee16567105da35d6", "027f98757d19d870f26142c9eb0ab4d05ccf60e8", "8877e0b2dc3d2e8538c0cfee86b4e8657499a7c4", "98a120802aef324599e8b9014decfeb2236a78a3", "0e78af9bd0f9a0ce4ceb5f09f24bc4e4823bd698", "21a2f9bd43335f1042ebba5478b3f9005c20a247", "f0dac9a55443aa39fd9832bdff202a579b835e88", "4db19ca4c64d1d879f7c9091cdfc23e80ab7182b", "98760ffc159502eea67c7f747aac845dd5cde252", "4805f41c4f8cfb932b011dfdd7f8907152590d1a", "539cb169fb65a5542c84f42efcd5d2d925e87ebb", "d58fce50e9028dfc12cb2e7964f83d3b28bcc2fc", "5b809871a895ea8422afc31c918056614ea94688", "c37de914c6e9b743d90e2566723d0062bedc9e6a", "dcc44853911c3df7db9c3ea5068e6c16aeec71c1", "79fd4baca5f840d6534a053b22e0029948b9075e", "f762afd65f3b680330e390f88d4cc39485345a01", "6aefe7460e1540438ffa63f7757c4750c844764d", "85205914a99374fa87e004735fe67fc6aec29d36", "a7f188a7161b6605d58e48b2537c18a69bd2446f", "2c4b96f6c1a520e75eb37c6ee8b844332bc0435c", "00bfef58353564f4e4bd7e2cb68cb66953cf9103", "2f53b97f0de2194d588bc7fb920b89cd7bcf7663", "1a40c2a2d17c52c8b9d20648647d0886e30a60fa", "a71bd4b94f67a71bc5c3563884bb9d12134ee46a", "3980dadd27933d99b2f576c3b36fe0d22ffc4746", "b4da6104aed862db99e296368ae5c07ae6c99480", "1439bf9ba7ff97df9a2da6dae4784e68794da184", "85f6eaa1ed3ae15ec7e777b7f90a277eda38cf7f", "77b1b9bfd1d98d2bd7e374f869ce9f74057d4f2b", "7cf579088e0456d04b531da385002825ca6314e2", "2d93a9aa8bed51d0d1b940c73ac32c046ebf1eb8", "3bf7b57d9264f147b8f5507fe331059152a6c3b9", "7e3367b9b97f291835cfd0385f45c75ff84f4dc5", "42e0127a3fd6a96048e0bc7aab6d0ae88ba00fb0", "dea8bb5933e5463569fcfc505b97f6de5899d73e", "bd63d56bebbc5d7babc7c47cedcb11b8e3ad199c", "a09fbea3818b04361ad93a25f3d240dd40dd6b50", "00220a6783488054eb0fe7b915e882b1294f3318", "af3b803188344971aa89fee861a6a598f30c6f10", "3060ac37dec4633ef69e7bc63488548ab3511f61", "2c6e65d8ef8c17387b839ab6a82fb469117ae396", "1de8f38c35f14a27831130060810cf9471a62b45", "7ebfa8f1c92ac213ff35fa27287dee94ae5735a1", "fe6fefe5f2f8c97ed9a27f3171fc0afb62d5495e", "abf573864b8fbc0f1c491ca60b60527a3e75f0f5", "9407f8620a9b6db7643248d09835a24c1c110e05", "87806c51dc8c1077953178367dcf5c75c553ce34", "48910f9b6ccc40226cd4f105ed5291571271b39e", "d46fda4b49bbc219e37ef6191053d4327e66c74b", "06a799ad89a2a45aee685b9e892805e3e0251770", "630d1728435a529d0b0bfecb0e7e335f8ea2596d", "973e3d9bc0879210c9fad145a902afca07370b86", "b1c5581f631dba78927aae4f86a839f43646220c", "67ef372d35382570d7a16488d5e2c6b8ef88677f", "029d34f8a666a6edafb1065b01dfe789975d7d8e", "cc5edaa1b0e91bc3577547fc30ea094aa2722bf0", "48a402593ca4896ac34fbebf1e725ab1226ecdb7", "3bd1d41a656c8159305ba2aa395f68f41ab84f31", "374f13aedbbf2a4dd3b23a74a368127ad68a87b5", "aae31f092fadd09a843e1ca62af52dc15fc33c56", "9ed943f143d2deaac2efc9cf414b3092ed482610", "934647c80f484340adecc74ac7141ed0b1d21c2f", "cd9666858f6c211e13aa80589d75373fd06f6246", "20a432a065a06f088d96965f43d0055675f0a6c1", "2babf665198a91932a4ce557f627c28e7e8f31f2", "e3b0caa1ff9067665e349a2480b057e2afdbc41f", "59eb9770adf59604b93c25106c6ab5d7d94a0b95", "ab8a0edd0bddae0b2df6b8d3ac027a8e765a93cf", "63ebe80e020d902bc1fdc865c23a9ad7d1eac17a", "0e0bea5121d218d75799ce304b97c63894cd2fec", "41612c66beaad320af9b7d34407c7d0f4ca7bfea", "df50e6e2ad60825167c6b3e641eb5cda0f3dc505", "b28eb03b14d5e1bff7248c3522c088a731a2dc85", "941b3ede00e4913092dffb8f9d130767c72a8871", "067d4e56f416610d9b1d1fad3dff251cd9f19873", "28589357a7631581e55ec6db3cde2e24e4789482", "507af6591900a7165c529eca9fd370008c1ac87c", "0c553e57cb6fe7bdf3212fbf86bcc869958db27f", "234e3f821c31d0b5b7c59c3c013ad258fa6f5912", "02f8c803fbf02bae0cd4ba8943fe3acccdf37402", "c591cb28d12b7ee53af4e5c2050b74071527c248", "9ad1e152f85f61d9ac1254580c2596f351951b76", "df86f915f9d91a4838babb328b8c7834200a30e8", "eabdefeb685dd71a39417bf40247d206af4f9b9e", "f01da5c6f99b8be70609158f0334d4a1ba987a65", "b3977811e7353eb5451042c37700692196b11372", "d53994f28deb2800120fab8a42852813b3b8c081", "6d6bb981bc8470de23e30890bd96a76ffd2b7ced", "e2e920dfcaab27528c6fa65b6613d9af24793cb0", "f2bc0ccda62bda25adb3e8862a48ff373e8b4da9", "784731961819abc5a5a199be1573abd828bd9af1", "b77e0dad79d5cbf264cc8697c033a659f4670dbf", "938d9dd3e35cb8af5fb6b8b3f7c7ff9d6ba8b253", "244601b6f558843f946010f34229b0184b016c65", "8d9f516fa6e374f6b90ed51c0efb8b90e4f30357", "f4a13741fd2eaf4d5a283667095843ae78955a8b", "d64b24e9b01f4681d92fc29f36e46d94db7b8bb0", "9db1e4ab7cd46873382f450eeba4cadf17789a97", "8e9f973e9d01fdd275af6c1460e5307d2ff3d2bc", "a71106ef95103276fac010c10291f6dd6fd9d9f5", "246ec873db261257833231d657ec8995d686cc3e", "32d6ee09bd8f1a7c42708d6dd8a5fb85ac4e08bc", "44206d5f810385e66aef5f29083a610d91815343", "2056fb4cfe4aaa8a5d833f7494589499c2c5e8f5", "5aa63f9c0310c4dd64801b379266b778f4778445", "0fb680b5136d80c13e8d15078ef18ca4aac269f6", "4479efe6c81bcdb07b18d1cb66a06c66c6137fed", "b7a0e7dab11781c252e1145f3526aee388b4136d", "65683bd97720bc18a022b23755b32c8c988e8d5c", "1904adb4351b90271a9a91037e84f67db068f04f", "5f39d07dd39e5d7cfba535ada3a0ab9d5d0efb5b", "44703dea094eb9558965db9439a07b9a74fd36b5", "0e13f7fc698cbe78ddbf3412b13ca27a4d878fa8", "7dfd76228a3ef8e9098babfbe7e97e311d38a33d", "ec01ee706e284174ce77c3a48945ba6cf4d53d20", "3d204dbc13f59f1a1678c773b30a1d85e305f548", "2a6327a8bdbd31e2c08863b96c4f09245db8cab7", "f8ae3654c41b6ef5c5035a6db65b80137ad9a267", "784ee59ea98a0878f1ba709f4385bffcdb4911d7", "93818799037f55f38d1499f2a996fb490418b348", "4ad51a99e489939755f1d4f5d1f5bc509c49e96d", "a941434fce5d3fddcd78e2b82d46ccab0411fca9", "9fd61592cefddd89718a7b22836b518b3be349c4", "64b1de5ebd431354816ea2ebe04dd21b1953bd4f", "46282f10271875647219b641dac2cc01c7dc8ab2", "e6d4c0ac2352f108a078a4fd3f908a03b8571f2b", "7e7b4b4a84c2aa0ee69b5cea3a4da7f62a0a37d5", "379b9bf154c08a802a75249874dc6238f8386ead", "7da6695d4a205d1404d6e9bf503527da8b13813e", "4ab56e24f6c072fac375213fe68a59f4f4439251", "8ec82da82416bb8da8cdf2140c740e1574eaf84f", "44c0b2129b43141f36956be137f2321a7630e36f", "91a4ebf1ca0314a74c436729700ef09bddaa6222", "2e0d56794379c436b2d1be63e71a215dd67eb2ca", "9b2a272d4526b3eeeda0beb0d399074d5380a2b3", "0019925779bff96448f0c75492717e4473f88377", "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "014b4335d055679bc680a6ceb6f1a264d8ce8a4a", "02c7740af5540f23a2da23d1769e64a8042ec62e", "a3ab2a7d596626a25f680b7dc9710ea2d34a8cbb", "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "64b9ad39d115f3e375bde4f70fb8fdef5d681df8", "f3850d8ec9779e8e15da9831ba23d4cdca1dd4ee", "bbf20adb59b7461e0d040e665bf64ae5f478eda0", "8bf243817112ac0aa1348b40a065bb0b735cdb9c", "a75dfb5a839f0eb4b613d150f54a418b7812aa90", "8bfada57140aa1aa22a575e960c2a71140083293", "01e14d8ffd6767336d50c2b817a7b7744903e567", "26ebe98753acec806b7281d085110c06d9cd1e16", "e7144f5c19848e037bb96e225d1cfd961f82bd9f", "314b7d87f77f58e428ec56479fb9939e33a9beda", "b2470969e4fba92f7909eac26b77d08cc5575533", "2025392b7ebe267fbe13cb9fcd022ded8f7d1972", "ba6769c165967c8dcb11fe5e0be2153ddbe99c7e", "6c40fc9df6588f7cb721537883167eede1b8d369", "1e62ca5845a6f0492574a5da049e9b43dbeadb1b", "ea03a569272d329090fe60d6bff8d119e18057d7", "f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3", "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "78a11b7d2d7e1b19d92d2afd51bd3624eca86c3c", "177d03c5851f7082cb023a20fa8a2cd1dfb59467", "7e2cfbfd43045fbd6aabd9a45090a5716fc4e179", "35f03f5cbcc21a9c36c84e858eeb15c5d6722309", "cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae", "b8bcf9c773da1c5ee76db4bf750c9ff5d159f1a0", "a1feab9029e49d1a5d4ad511be30bd40a423a1eb", "c53352a4239568cc915ad968aff51c49924a3072", "77c7d8012fe4179a814c1241a37a2256361bc1a4", "de0ee491d2747a6f3d171f813fe6f5cdb3a27fd6", "4c8ef4f98c6c8d340b011cfa0bb65a9377107970", "1f94734847c15fa1da68d4222973950d6b683c9e", "23b0f4edcb52d5d38cb7d38b4c4eda6c30cfc10a", "ba42600cb069a1341cd9d2e0cdb23f465cd99f11", "d40c4e370d35264e324e4e3d5df59e51518c9979", "cbb27980eb04f68d9f10067d3d3c114efa9d0054", "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "4946ba10a4d5a7d0a38372f23e6622bd347ae273", "b6ecc8d34ebc8895378abe2b8f35e3a0691f5d26", "20adfee9f931b48ad6ae236dc50b8106573d03f7", "0ae74fabc585cfd1cf60ea3f9e218c59a4539091", "519aa7395720299682bce756c86b587c33b7e0f2", "18010284894ed0edcca74e5bf768ee2e15ef7841", "39a863aee15e35aaf1b4b5f86a27a5eb0c3a0f84", "342bf840586c167354052336859dcc6655bb01bc", "90d07df2d165b034e38ec04b3f6343d483f6cb38", "11d4b800cb4dd6f2b7a0c614d1b73191489d7918", "fc73090889036a0e42ea40827ac835cd5e135b16", "7b8c709abb34fba9f5404293ac5209a78258acbc", "d78be582827941679ec2dfc1f56c254f61302476", "f6ad7fc8ab40c2c892dbaf3922b30fe0c0311c65", "5c2ee7136e7672543f529548b57884f644cc3570", "bdbf414a2059d542f501ad9b1d21eacc9831082b", "336067ade694c79b5838b2e8158acf18546bc5a5", "b4a60cfe62d78e315ed4206d455022ead27ecbf0", "423e0f595365640b653c1195749e01394cbcd937", "6e7d30e83dd48f4d31e4765edc38cb39af441b13", "81eae59b7462824040198b7be94df4f916024a4b", "a2ca036b5c010dbe168d7e5fa0ab1f0e11c5b37f", "8bd8b5ee7a38ae0a148d8afa1827f41aba5323cf", "71adad22ecab68022627d9d5334cfb52f96c043e", "ea880d42febfa290e54deacd0e65e97a2d780dc8", "73bef3c162999185aa5eb8a4ba29ada189529047", "d589e218cc3f1b10e77d272cca5df3525e06fc95", "7abfa8648e1579c97aa6f70d875accec1e070030", "a947448d1db19d99abe6de2f6b6d67804786a8b1", "0123d5b91e56d4c6e92eeb25b461afe8941f48b7", "244c7d89bcd67b26756123edf44c71fd5f39dea6", "2d105eea4f594519bd337298c55b9af3da178293", "8e7548911c41b6f3a6ccbda6d3ab913eaa41e721", "03593afd7976bae2c105277f61f335b64fc3cd19", "23e85d879c37fad1e6c07fa13b896cb99535c297", "c31e08c5b1b418d1ba5b25524e78684c76d63f4b", "f3ca251ac3b05397ea6d72f2a9a6f0cf619a2a32", "0673bfff75f178e40522cfc179ed15e06d67973a", "45804e509e6d6e772d1c40e804e90c6659988abe", "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "94c7c7fbf7434342cd492305a26ec313e09c30ef", "a31b862f1addbed64a2dac64d7d416e129cad6ad", "eb43002e771de05db5e3e7e8eb6fcc75de0e30c4", "ea8707f8d527018c063a688bbd5a88f74506b288", "64d1fcc26c2af47c8ed7436fe91546ba5bfc7a1f", "202cbc83c22a9c7b3d878cc1bed1c5cf152eb6fb", "bbb71cbca731295758563acdc67273b99618e1c0", "1c00fb17bc29d11630cb48e23e846b9dc35ea93a", "f499e84b489b0b4afe86e303803871700e561063", "f06f4bc74dc0be0a628e99a5c86ab3e00ed00276", "c419b3c1ff156a0e8262f8f43a4118fde57ae37f", "759f4f7601292c37e2f1c4a5a9f53075e9e355ec", "9a0f1166313da24e76eaf01e662f63a737d50e48", "2662500c88cce40e4c8b0e780a0528ef9fa51d87", "d45fbd818f032566e9e8f8bdc0f658cdd6873e8f", "f153f5099c69b644f2222a80de798ae82dc36d67", "37b8a996bf6281e1eb6464d1493663ec1ac0d2db", "fb9b2211f23ff608e786ab3ce17c7474d7a773dc", "214f31bb7b170a0d4ba43954dda0c210416122d9", "daef6fa60c7d79930ad0a341aab69f1f4fa80442", "140c49529fc66feafd9949d444db3c1987ffb0ed", "2687a892b1b737df1feb09ed8575d925f59371f3", "cea354a20227e80e1b37a9677fc8f2ba00f908b3", "b5e6fb219ca76f0175bd9f28e1460280fa11d5e1", "485eb9e9392ebe6297e049f646b94a4ea8814cac", "34ae449ae64cd2c6bfc2f102eac82bd606cd12f7", "9e1b3cf334aead8d2c29747f6ee7d1291dd83708", "75370d108f053f04dfbe8d42835f63fa165adcb6", "e912481d2d885244b1c72e5d74932429394a5789", "b245580bd7bbdd8f96fd079fcfa23e05e731a0df", "61bee369916333bac86103cfb07d6d2ae5e091b6", "c5b6b81a75f7ec3211473eb1ca58897a6537a085", "9f0f4ea0ec0701d0ff2738f0719ee52589cc3717", "6f8fc12004fa068c424369793fd39426e772b07d", "428cfbd3c237d04edb06690a7e9e9a40c62fc8da", "fd9d7efd0ecff49249844a0096e77b2f864fae0d", "75b227737a5124c66c39d66d50c32293df6a398d", "ab1f057bfe02b80a14f4c011abb9ceb2a9c98b6c", "9cd19fc6a60543ac99f96aa0197d2d986a2c3a14", "494daf40d90a07b58690985088e5bd109ddb315c", "39b765988e8bb6f650218c839640cac56e62adc8", "2f671e3dd06d3398d6181c3927985e712c9f8a27", "d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9", "fdb956c7705b7f57f56f944a0f3f4ede1d6f77fa", "005227ea30edc2907ca2c01d0729e247e2d9a350", "384aee9325e70e5215e07e55d0ee3ea461a46f96", "07a63213c090aa9b96fd2c578fd236b6ea13ec59", "919cf6064f6a9cd02f377752ce259cdf46562ac0", "074a12f9187beafe40386f19aa2544df30fa5703", "4071778aef122d2ba9f2525a56e375e072a4b186", "4f9fe0f537419520b1d598567ddda3650debf3f5", "39e4dfa4ec7e2bee44a9c5b940e640eb39c3442f", "61f810b3cbec7bf050f964ff069a05ac2f883303", "c280c95c17194de83e5234cca3586cd567ecd47c", "3cbdb3c9eb3e97a9d12d84d2b62b76884cc0003d", "f8e0910d50d7dffe7097b6263c6bb3952b1de336", "6055ece6d5efaa219db45d8e9f8fbc9e1c9feb1f", "9b0f2fb0faa27c4fd9d50e84c65ecd81ab26bd75", "8285e1b5536ce11d55462ae757f61c75ec6773c6", "916c816f16e4934e41f09a3ff81a10e5fc4bb459", "0dc3c1677e7d76133e5ebc7b62ae23524e289627", "b1e92402ff89540fb9294620f429eacb0aba7d1c", "0d691fd4d3fd7852280b939d24f37c89aebe2862", "bdac40e2cd172c4706d98b78cccc068090b3b2c9", "e2bc01813d6ef50194588086e2adea42bdf2323b", "69985d404c2befe175c0ee953d0fee4f843164bf", "06178edf24183e6fb9e3e265ff4f290a4f0934d2", "82ffd9024dd6890e5469b587e3516cd07786d6d4", "61b717c2c5b9766ddaac6a0fe0b1bfb01e6ce19f", "27dafaa0478bc70e3af9c5a45f278bcee44a920c", "aec3e1a8a21cf13021c388590bd25cf79325839a", "2e3551aa03ceabf0b71593d47ea6a48c32045ba5", "68a513b1ac290a69f95869600c751dca25e9495b", "1a618ff6fd0f0f94ab070555a4746e120eb9fbab", "d4fc055aa72b71397bdd223af212a632c026246e", "0ee7883f778076c6d8a14a115114a3d9ef830fc1", "d2384ce437e4e6ec82aaade981cda79db13b4dc3", "096a97299c9114316770205f9697653d000a58a6", "9d083a1aaad04641d0757ba21eaad1a60d5cafe0", "7337e138e5ad5cbc40e4c7f99801ed7c096776a2", "ef1b6fccfd5c0ff019699c21959a93368aef4197", "5d4af8c9321168f9ba7a501f33fb019fa2deaa22", "0df347f5e3118fac7c351917e3a497899b071d1e", "4c987baaf0587798a40b56d4fdc9e2518bdc139b", "15eff32ccbf0f89e888df5a5128d89cea3e0060e", "e2f24d01d7236d60f3829570ae111bedddcf4586", "5927984db5949852d2df809ce61dbb604c270f48", "61c425bdda0e053074e96c3e6761ff1d7e0dd469", "6dead19a89cbcbb71350a19925cb2c6f71261dfc", "8fc60a7489b76641ceee5da9180a3ca76b18560d", "490c30b1d6b680be3c5a13552073e4fc10a850dc", "7373afec3b5f87f9f0dfe9aed0e0be9a38a9e1c7", "6812ee7c4173abb9e0a22904adff04c54d847587", "68a05a845b6ace756d51c5bbce927479c9b9ab95", "18ae7c9a4bbc832b8b14bc4122070d7939f5e00e", "1fe8b8dc1271b0cb5ce37f21be5809546597cfdf", "f921e6f5085f1ebbd8289081e499240a89bf6c43", "b32aba82f2ec8ac17abc2fcfd32f5ea9f85cd759", "62a60c3d2dea6f33350d5f73224bd330ab157f1f", "58b49db3664cd623699eb4a69d1a9e3993bca731", "74d745ece0f5d751bc96be2e0f3fd4b22cac25ec", "a57995ecac8275b4c7d614f17538cf771b0b1657", "760c5d7392f4f193312af0f5c4f178b73f3f77d2", "61dba27bf77fc5279a61a29c61679a2c40ac6256", "04b74c6659f999831ac10517eda75958c1fc6cc0", "5cf549ca5680491f12a5ac5d42b171a64088da22", "6e82ce9897093ce4f5fa795887273992489c380d", "f16695987ee6f18aa7ce1bffe2080367407fd043", "4cb9827e0de6cf0ccb61cb806e52508c392a2d21", "e2b2812f1f43206ec4059b459745e724f22bb878", "751e9126b99c8c2552447c0bb1897ce5add6cf4a", "72962038460e32b0dd01d083f7f4049be36a34b9", "1f10e419aebfe6768f14a13bd3af65e84a58da00", "169731093e6b1a5ca51805a876011a9c250f11cb", "5f34c96ddcf992e1b8660b5cb01e3c311b05023c", "4c56f119ebf7c71f2a83e4d79e8d88314b8e6044", "55e0eb73c5243fb69695e16f3d7e47bde8e7c22d", "0c124734ce6015bd4c506b101038aebc1412da49", "f1ac9370bdf4c408fdc242719cceb3eae19b9a16", "efd16f6cc4b155b51c4d07750f16c5576d278f04", "50fc40ec6166dc33c6e59ef5dd75230651076f44", "08a78e0c57d0b6474c09ef8c6d118b3e95da1e18", "fea8ccdb0ea1a8d20acba1f359e2345164602576", "6b0bc26c2e9c114306d5dceca1494ac52d56101f", "f50bb87a850ad0f44eef9c2acae5b1dcccb945da", "61692cffff60568da43780df38876c11390ccdc8", "e9dd49970d259ec267d7c23a62215db37b986e49", "19645269d4a3099adf549ac1dfeb117d16c20292", "d03da4a537315144ca0f9782bb61ad68082a48b0", "a4ed81c97fbb394a6d8b9bc6215ca5eb97e0a38b", "a99b8c2165fea3e90bc8815a965b7df961367419", "c0aeae062aa27b71be728f2b9bb22b5ba0de27c1", "7667484b76a893287f3728e5b7604034ff868edf", "b138bd605e7b22b25c9d46277b38567c6566c634", "f844101618bcaadfad189645d0d9514f6a04f9ec", "3356074f4896bf2af7f46749fdc212a99d4932a6", "bbd347e6648d0f9c060da9ba9fa1782fa47156f2", "55c3b8f21b063b605a01a720af92c0a5de59333a", "06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f", "b9a65dd30e417b45eb50add150e0b155e69ad14d", "07e2461bccbd4a17609d022518a82bdba691c21d", "e2fb8ff1cc25a285288e7b6eda4c32fccdcaa10b", "447bcffc87b278900578b7539869dd0ad65feaa9", "05d3657ef0a94f1d0ad8291d8f2fb3b22aac782a", "8634ff503027ea11871f2be784bb3f063ecda853", "db6cc1ccbc517f86d39e446792ce7d84b935d899", "2def1c373a2f7842d0367cb48da87d777ab478b7", "fe7ab34e71d110d836a30ffb287306a02af5f189", "bd245c4ee85a3685b0a8bd678d27bdf901cf5706", "cd9f1f429b41c4c125df231bab8872e012ff5316", "2337b5b0212ad9b7fafd89d91016446450db64eb", "683c77c94b53db26ab3175bea0cad5b5f38bc672", "e21691680d3c5bbccd89b0850504b604a53a940a", "5b6593a6497868a0d19312952d2b753232414c23", "044984bfbda796d0a2a2b97f716e8924dfb28078", "b1b9aa047dbfb219588b26705dc23ddc44808d78", "8e01ce9c92a657077b2bbbe119523bd7429306f9", "25aa2410b759d98c7102f071a17c3b8934395048", "3affe6f9c2244f4b32c1c0f7d7f1d24770d40efe", "46e82bdcd623e693ec086f81fa78f55c92a9ce44", "3264df8917ad5e39e9a7f33bbfbce25ac7473a9b", "8a05ac5e375ebf80b5fb88f207a9d33d5765c27b", "eb6b8359909749e52efff9b78b037a88468101fd", "652d3f33fd0a99808dd646aed228b45eacdaf34f", "7fd73c91462153e16d207faa8ec0e3f507c72ae5", "a509f0528c5fbb36993324922b13a9a303ce82ee", "1ab19e516b318ed6ab64822efe9b2328836107a4", "1173cafc1d3880f73b98410f6131d0a93f423a0c", "2f8df9aeb5732a8831c4761e09c1997fcd5e1bbc", "f367c4472f11abc3fbd00c8ae94833ba901d8e64", "7b522c5d6d2d0699c4183a543b8e65b1a66d9e74", "e352288274f62be6abc37c944120bdd4979dc250", "ef247c194162f76eb8d44b1f83c25a4002ab69a6", "f6328f02ab64c992d76967dbfd1a66d325173723", "5fc541e1431aea41261569af2f9473c8fbd0e5ec", "fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c", "47ffffb26cbc0cf0800cbf7efd370e0afd4aaa92", "33e5d1c93e4195a1bfd303a94f0fc3f1c5e233bd", "19bd2572ef52b8758312cd40e237e21f6f2a0feb", "08a03f966216e4c5bf13405556f16220a14ddb3d", "9f33fe98e70c049ddf932247a44b9c9af85cf9cb", "3ea27ba44a3e8a13148236807e569b909517ed89", "4d16cf1b11ad66bf3e038936b8e2a04eaf39712a", "8c7cec067fe9e88f23d7fc3fde11e83d123c7875", "dce5896abd1a9ff4399ddedd87ed96d988645639", "9d896263d1200e49e463e00a19502e694ea4ad7d", "a679a47de6b3114cb614a4c5577eea3b898bdb51", "15860bc14c38c89256a4263b0d31eb67fd8ed923", "0ed78b9562661c550e382ed30de252d877a04cdc", "6933b9dd92156ba716006cbe5047edea15661765", "4a9145d52184b20f7241f52509034819c79ee162", "fb2e805e61a5939f46352b69a355b8f6b54052cf", "72b3202cf98c28249bdcab6099c9d3f61cdc4552", "2dd91115091f1691ea37c4b14788ca4199354012", "8eda0af45fe1fe32a22661aa1d03e7267a8181c8", "3dde006a6bf19a2008116542ba3d39f9a280648c", "3ee7623820035a982d899e3805331d255c9c7e95", "abb396490ba8b112f10fbb20a0a8ce69737cd492", "9e1a96e0fc5d8867e82e6262a8d9499b3ae806e5", "4ed727bfef7d61023d391fdcb95cfa1df901be5e", "617253f275f14490c61dc9d8cb23ceb9c9d4ba35", "7c4efb5b0e29233d13491bf9994708333086ae39", "6c825dab1405d193628298adc552a4e4d17c7e69", "3528980fbad49fae95ec278d089bdf01b33445ad", "13af83892724343cfdf88debbf00ea1343a10db1", "18f70d8e1697bc0b85753db2d4d64aeb696b052a", "8e579a8a43f6af1d66e927a48b89e8296eba63f7", "5583a131ab89aef81cee3e60d32160685c24d694", "bea1ffedb87d7b0eb9cd4397b334b204fa450a84", "2bca780e277f48198882e816a803d3db7c4771d3", "ac952dcf1448b7afa8c17cbd8062e3fb1382da0f", "10fe1c3d32398ee5492b72e230e74615ed31bca3", "5cd2a7ec2b47086b1e9ff6ebc096eae5e03d2f67", "dffb64ac066bbcfe6aea6b11408b5ea62a40e9fb", "f0619ba7eacdfcc25d0487fb9c3c00d143633500", "638bae0ed5de16dd8f03f0bbff6e090f09b69a6c", "7b3b6b874b89f22c46cc481448171a28ec919a55", "36ea75e14b69bed454fde6076ea6b85ed87fbb14", "7faf8cea7efd7839bc7e6bb761cc06304aa53db4", "49823d4264a8ebc8d27e5382d6b97d19facb65b7", "1f0088d0f731ca563f01fa72678ebbd541aa86da", "2e38ff75a80ec92111261bf368781c7eef89eb14", "29322b9a3744afaa5fc986b805d9edb6ff5ea9fe", "0126f1566a5a9ba051137afb6c1fe28f93584def", "6cb225f0b264c5f004dc11980c241e93fd7b0e24", "c5697c28272dc7e81c451a63495f229c740d597b", "a6664cb6cf2589c28e4e7e8da89b0b116a121279", "362c8e7d0cd8a3fa100a35b4b89dfd4523ea0525", "4af133c49d39c8b7aa9d82c17f1fd2c70e36233f", "f3906c390e378ece7f785fb553e0b89c2cbfeeb2", "9cb152758ee57f2abcc0b59348752e528a2ed2f7", "bb72fa16dc5e13ae37ba2c942043643d269b5cac", "3209c4c71b22c7cd91e5be583664ce953e560a83", "02cf88e5ef78eb89c4b22ff301bc1211f5beaae3", "d929534024614e3153c986e55d758ea7471d3fff", "d7d6200e41d574e2f3ddd9ded299613683519c7c", "2b712551fbb5c574ebec7283b0280add25103c31", "808d7e7c411ba8e4b31c63f34cce5a195db3dd38", "9f483933bcc872771707dcf0acb1382411ffee94", "118546dead3bbde31ff4052b7dbf5a147d1e69f2", "aab9a617be6e5507beb457b1e6c2e5b046f9cff0", "e3055d57305f272043757e5d861fed64c592344a", "1f8435f58054a101632d023994a93c986efe5ffa", "4fcf1bfc2a8989412adb67c97ce1bee72a996fff", "83b1df92cceff322230743a34a3402de2ae4ad1a", "87169aaa3e44fd1568a2fdf1e4ba2af385c34f4e", "453a5416c78ec530c0e6f2a49ca5057c3282e7b2", "11c25e20b74416a97bb93f68990ed12c25c8baae", "1ed93b32367351089815aeeedf06cde9e999a346", "26ef54b182fe25e87622a2e846024c8d637c8b33", "c5c1575565e04cd0afc57d7ac7f7a154c573b38f", "e3f0c5a51d6c5085fbcb64d872d7db438da27474", "1e73c84785f20a1dcab8b4cd19cdbe946193d442", "5ac8edd62fe23911e19d639287135f91e22421cc", "126b98473cc25e604abd58eb6bcf720354ac7e7a", "c97c4d390b8e53c594483cf9533d80aaeb8c9df1", "2b3556d1344cb5128b89785ed1b3793b54527fa5", "babc76d0550a647dc605dca9a69bda1af8e0c872", "6ed7823b66a413459021984e417bf71497354559", "302bf028487b50bed33bc6d36971b8ecf06393ab", "039b29a58861f78fd4cac0f51c70eb90398091d6", "01ccd6a341c8a29b9b39fd28e723ca3a0bdac22f", "aa255b96f6fbba52c2b42cc3cd291494b1d93268", "82f293d1a33cb92c1cf3e9f9386509e8b3cbcc81", "b13e819c48bcb2362614c18cdcd7a53d90944fea", "b1e14a9292c071d63f45cd3c1f645e83027be4c2", "349668b75c4398c075fc681f563a80ad7cf6b4f2", "99c2adc3868050afdaeacbab976e8c48a3ce214b", "0776a6a2a44e9d799e5df888cb3052984e975e9b", "69026120a20aafa64bed9fd3beccf546758642f8", "4887b8b83a05946af2dc2699aac6af95a7fa7150", "ad575fc6c2a0a33aab8cf8ea33f7782ed3bab2a1", "559f611d95138c6d4255e493f59de33f9f786538", "3dfecf073b2ea403def1fdba11835b8a95cf01a0", "fb9a1f5692ecc5fee9f7673c9934c61538ff0774", "0aa116ed30655f2904c3dd4f6e7c7db658e44a75", "91811203c2511e919b047ebc86edad87d985a4fa", "49febc6d94e5f7a7aad043b53cdf52dee8ab18eb", "8a4df86ad831b107c49e431fc2e58c0a0ea3685a", "cf9e81c129a09457b198f176baef3d3b5f09682f", "2599445b0990979483db54c707c9a33b18231910", "110d474178b0bb5e2050537d89d08a76106ab736", "22ef59d9118f99a896cfd553d7d099f3960d1f17", "2375edf7a4014eb9ed1d0634726063f41528d6cd", "463b3269d27b334e15e4fad18f886837cbc06fcb", "ba25c219b52d675b579941364ce6ee6700cea8e8", "6ab5acb5f32ef2d28f91109d40e5e859a9c101bf", "c4e6ee6124fc12aeeb30fbe5a787d2090f62caf8", "9019d11217cedd413d65052c72f07e320bc3f120", "937e89cdf056358d1d5befe334a0e1f497f7d643", "50d337e06079496c3efde863c2ba18f6118b6c69", "c18d80d00f2a7107bfe780eeec21b51a634ea925", "4959489ce1f092d0d66afdf0c835f1b4e9162d3c", "8602b2ef26a0f851f1f6f2f2ae0ce142eb64300a", "32d1220b2a6a3f744d85162aa1a12013070c282a", "0fb75f5cb12d1e1a909b9f698b7617bb9603002f", "22dbdace88c8f4bda2843ed421e3708ec0744237", "ddbed5c2a4c6de4304e2b7aa1d074f5374970b1b", "063792ff9a139a5b8375afcd35e4ae6c8d83c352", "9c1cddcabc6610913ea87e3ad0ea2fe85997d9ca", "a64eb5aa719bdb2f58023c1a97094daeeb8e1ff9", "ddbc590554fe1c1052fa965a2b707b3b46dbe7e9", "4ffb48c98502dcee71200f8b7e62f986dab9da23", "460e18fecf16338d06df56276d29115981ba3ad1", "068f8b19a3847a2eaf0c65f6d85ec60060750d3c", "23120f9b39e59bbac4438bf4a8a7889431ae8adb", "5a6012176189639de6517d6515fc1aca58e05c11", "2f77c0908716b0febfda19ff6a0e2970c23af440", "591bd78a06814e75cae7cdef50ad91cf22e66c23", "7e63dc2831c93437cc3a6f1b80722669fdfef051", "de3ef07b202839a458c3ae9f16bc59e60dc857b1", "eac6827734e9007feb84fa21d10d72bcd235e5ba", "983c6d9d8aaeca30e6b84e2b2c6e2a514d6df254", "ec001d5550cf950626f6416cfcccde82806df2ee", "cd0856cd440cfc19b6989361baa084f61be1e5bc", "48059da276a8a93e0bb3faaa8421589f09377559", "22766a841b3c17068e5f1ca34ee5b751b6c4bc24", "41eedd1e627a060f6955d8e04a3e9307a7b8ae6c", "fcb9597f75e9e1770df629d784cf03ed87d61d0e", "3ac3386a9d1a5651ca2062d5c1b23766bea2568e", "345df8418208ecdbea4afcab21557fc10a27aa78", "2546f055c217055cdd140a55d812036b46b63e38", "9802885e39e0847374a2efae801b8b719c09c64c", "9bbadfc8c30f17790454e5842a1151ad6cc914cc", "a9dd61f4dc1b033683d0152f5753e1cfaadc6500", "060ea3f72ee63d909600caad168cb26b4777b19e", "19fbf78b32d40805063ad52117be9df69cf10678", "ce7b4fcdd81d4a6461f94abefb48c4b524865cd7", "bce6725d15a130db618bf1db097240860351cbda", "19911c7e66b05d5aa28673608fdfc50ef00591dd", "bd3d69121f38db767bf820e5f786c7e55b7628a7", "2d638ee3e358732f3c052b854dc16949fdd4a2c3", "4300c7773a130b4995f60ba5ed920dd1782a3527", "17f472a7cb25bf1e76ff29181b1d40585e2ae5c1", "0c468d5abe428def1ef996ecf78a7f99ae24544f", "5ad07ae06ba8ae012367fd06205e948ff13cc7ab", "695423ede04c7ccf05997c123fd8ab9b94c4a088", "3b995415a12903a45587827651c38e722f98a8c0", "0ce4110d4c3d8b19ca0f7f75bc680aa9ba8d239a", "c90b109301244e59771fec431a8d50a78e395956", "d13e81c7a3d6f62948a68663acfecc3a480d9b1c", "028dc6a134f1204bd9ae28213e2e6665e82ddcb0", "0eec56cb77e52c8070dfd9088a55270f22536224", "921aaac9b33ec6a417bfc8bb0e21e11e743342c2", "a3fcf3d32a5a4fcc83027e3d367ecc0df3ec4f64", "72da7e3cf1136dd0c916f9e966937da0e26c64b6", "a73014cafb3e0b89ef6dae3372606c3d028ba2e3", "a80f062fce64f9935c89fe0d8caeb798e72e451b", "72b4b8f4a9f25cac5686231b44a2220945fd2ff6", "012eb31e668ea9f87e39a0bc3ad467d31843568b", "a9fd443590628890844412d274e396bb0e383eed", "bce36092b1910ff3d492f86aa3a39ed8faaf72d2", "af1a40d2bd4bbebfea0a3b69b8dda593a24f9dce", "249d4ea043ca1917025b00341b4339c3d76fcad5", "6dff2bcbfad53238d24f4467a9504ce33ecdfa4d", "87e207fa31099d20450e60f056a0b1304dbc1bfa", "6cadbc0122376be3c249ecfec7de8247ffbc4fb3", "9304de56c284748273f7eb7d867eedaee971cb55", "9ef15afd2a6f58e96d8719d8d92fa10e16c8a243", "3f0e00188d751829c4548f9aacb939b982425ebd", "39905f28acee51506352c34736577d49ceb2f318", "66c92c9145c2b6a304eb1b3a58e2a717884fe064", "c7c0da2219c4324c5e8d5bc062c499286489c437", "c0a32aa37f88c7725d0ba73453b2a51f5fb2bce8", "fcd9221f8ef306155f59817a3b0bdae05e9e0ae2", "ce7a385b791686f318313e94a0b573c456c1297f", "dcace6f0611b77177f4aff4bb650afab0a819575", "4c1ef2a628627798939dccc072d33f9e12b48640", "0f7a5e5cd62066d2207a3b51f2cf26dbec1f134f", "4156f9fc5983b09eb97ad3d9abc248b15440b955", "0e9f7d8554e065a586163845dd2bfba26e55cefb", "bad206bfdbca3657c08868cd990cc95eb61a0c5a", "2db197fa498d54c1a659b57bd70c4e467c2237ef", "f011882fbfbc0a2436e01c98c1cf517355aeb20a", "0021e292c9d8fd19f5edd1cde5bc99c112f1992d", "a7ee9c43058efbaa4caa7a93fd833d3c6e90f4b2", "695e4c975740d2aedcfc42d7ec445b4b2b56cbeb", "16344102d21291483d1fa7484be28b563df434ce", "761b87a9533151d8caec56e5b48d5bea86ff6853", "3138e91d8920a3d73eab28c5b1655e8a245a6cf1", "71d68af11df855f886b511e4fc1635c1e9e789b0", "289853f2baf3bd63ee215e3e07ca011c45ad4277", "b5900b981020b00a48f544b942ae172a52ebccd1", "c89ddb0e978b78c062fbf9ea992da83e4b38778e", "1edc51a447b9e26fdabd25b6daa1729df5bc5834", "efe4b9b9957ee38c2762542b320adcf0e5d04bbb", "0f6c6f03fece9b0acd3d0866c09201ff42493ca2", "044ca9f2194aca3cef7fbc6b94eb9857819a17be", "79d805785ae28fb14423ee4124c32e49aa6e07a2", "36fd702e5686f91b7e45434f8e2f6ef51feb2d54", "52bfa4a8b3e3b8e0c0031ae53caddb4c067c04e3", "f47108e83398953e5aa56d5c5dd75b950d242f9c", "8318f563f915031c677decc3d133c2aee803591d", "04fcc898fd376338f7d279a06fe78b42a5a4d74d", "4f15b1e750007465024181dd002dfc6d1baa48c9", "5357e6e5d5fe06934bfe693d18b9f44bbd98f73b", "aa5c2ac60a288132efeeb85c5af1fd0b39294eed", "1b2dd300a43d0553f1deb578d9aea45d99472136", "3898a9dcb22f87413f08bb44c656f4129e1c42df", "4f9001753ceb18ee06f825687abe0e3d292e71e0", "c93ac931336befe341dc3eacfbf9695cca54f8f4", "7a7569246855b8620d65d016013ccd0144a4f3ab", "2645230afa0ade78708a7d36630b3be7087bef8e", "560b46547720b3a892f90a337835875f74f4f4ec", "3feecfc73e4b215664218852ca77ef26ff7af94c", "66f01a12edb1db3ebf6d165d89bb20e7be034510", "09d9d9d153119558e83643f0097ffb87e1037649", "8676167c1b45dff6fd9a35bfb1d3d326eafb6480", "3fb87254e76bba7ca98bb55d453b3b6f380cf713", "228594425c26d4fa97e8bc2e22329ebaec5d4b63", "b67e6f9c38d9cd2c41fa906e177b449094159039", "39e53535fc57343d301063246dde1871bc7e07b8", "e8f9a45fdd76fa33855d9a7a6e70ff1821d0e2e1", "d3f945e0f14cf069d8a3f97497e94044f5d3b21a", "0b55b31765f101535eac0d50b9da377f82136d2f", "9a5c896a527fb6b72508d7a6309c5c375cb2967c", "e5cb3bacd8003da8134583e382c9230966374f8e", "bc4e86b6d2d386805466b822a04ea0c015debfff", "8797c870c0881cd30fda186affee4bdec54aeecd", "3f31863c0e094a80d4fda3f23a06b50f6e2ad192", "91ab486c5d654f60f7c0bbf62ce7532647ae6a30", "1172b5f3edafb5eea176ad64ef0cec762ee22437", "20510478cfd6385d7d080ec435e8491d6b87c3ba", "f57364601b020dccca729c967b11c4a5da43f3f6", "60e87a914be211d775df47dd111a5c5a11a127fe", "aedc9a615b97442ddc4fd07427ff8595965d46c6", "84784b388550de5ecb5b7740ad8a724c0a01410e", "a3571721ce0119866088622755d678be7ee4b374", "09af91e913324255bd8358e62cd3b8a25f7141ec", "938d363a87fa4020fe1e526c439f6f52e66c33c9", "effd46389bc45dfdbf32f00eddeef6cf5f0f7947", "aa4928142b99224e96536d402ef8869b8391cf79", "1392d2f7310fcc1d07c3748b5416feaaf52c0b7e", "4e99eaf58aa5fb4665dffec0009e2464feb0f66c", "e266dc5a2ddcafd3229124dd9baddd9fdf90ac87", "a40b4bf3a921f07f4d07838f9092416189e077b5", "055b9efb3a7c558637c732d20ca5db311a2c6b50", "2e243d59184f781755339f6b415fff87f63c5ca2", "52f8eb239997d9a324d4794529c60522db8d08bf", "351550aa56b81de2eef4b8379dc85722366635dd", "402dc9ca10b92e848741991256d8b53d220d6be5", "580f3ef6e77753ce0b157ebc02656f346080d9a8", "4ebff380d7ec7a75d42d37414669707a384b0fc6", "9e6ecc12794f1d3215f93376a32b350a0492ceb0", "4aab784972af579879758e894fc52f50ac37f4f3", "b0698da6bc08772d686713945b561bc952dc7949", "3d84ced34be1e8e61cb66f9270efc801fb4f4f2a", "2b11f435eaa58f141b050f3ab63279cc716507d9", "962e4fee051d00737bf4a87fd05d90ef86252ec7", "114907f89466987b3c41c8d530e50b2ac67179cf", "b65bbf24479d4df65dcde2ac343f5c7cf96be3ef", "53213f7cd7817a06ac7d22e4fa2a708a4c96538e", "4e370791915e4b56603451b4fd1bd0105f1bcefb", "dc090aea412cef17c7a68ec84c34797806feab24", "0ef906e6c67d8a4a2558ee8978178da4402024e5", "894c2d4b9f49ae87f3a8937123e3d734f90ee6b0", "21ab1e521820824b41606554e94dd0584734d100", "be3fb00c4190e26b6a50a8c10c7a9ea5b8d45a2b", "36ddf5d08ce753fe00efc844be3769f09dda9f91", "5a362e8f6eee03095fb3001b417fcddd80ea3d73", "332740a7ababbfa0dbc974433bd5a213197c0dd1", "05ce0e4e9ae2c7b2320decb3bb29e066f1dd96d3", "01cb4ef787c020c242de53769e4718e4a615d29c", "4a1b67d1f30abeeecb270666605025d9d78971ff", "23316b1bb8e17bc1f9dd2c971093fca3407c32d0", "383fae9c0b9b13af0ce5c5e88fa8ad40c7a3e7aa", "5edf937723d48b03443b0cb27d32cb7c3cff3c17", "2fa941ed0f9546796499782e285a14cabf0186de", "7b67c38a6f49e02c03e1cea98146a506f607b0d7", "a2183537ccf24eb95e8e7520b33f9aa8f190e80e", "f22a7a7a8cdd323270d1f8173c0289d61981dc73", "d1097fc0fa5410888c7d791a0594d361114caac1", "6af7f8817d19192b157d9612139a7dcc9ef8930a", "36a0961cc64c4d3033aec820073d50c6470caa41", "7d97d4047f3668e8990dc96a8761632bbb313430", "bf47f87ccf1b2f9ad18cabf29a715114185648a0", "98d39a1af025a29212e054ef36b4e0004bff4256", "d2fa8990bf4fb1eecd3019f3cc718c536118109c", "8b793aba8ef62e41dabf0d2bbe3e84b8ead59fe7", "5bb9540375ba9bba22f8a22ba2990cfe7ff6780c", "415ce470a3c5f78bac68d945af5805a1c8ab86bd", "617294408da21693521adb2686209b04311703c6", "1e3739716e163fce6fded71eda078a18334aa83b", "08ba1a7d91ce9b4ac26869bfe4bb7c955b0d1a24", "3150fd3b0065372f898b42a3628318210fcd566b", "694dda2a9f6d86c4bf3f57d85dfd376e2067ec62", "e8d1d2a61c5a259440ef9fcd301093b43e87efa1", "eb14b933a374df4e909f6f61500d7a1ad34a8d8b", "6ff76bab8eccec64cfd448b9664e50db76e335fa", "54c3d2d5b10610e99cb71ce440a0b6e638ce6aaa", "2d2b1f9446e9b4cdb46327cda32a8d9621944e29", "82d3dc1dd35e7d2d13bc43614b575dce61b0aba3", "cf65c5cfa2a2b0370407810479f179f5fbe88fb1", "9853136dbd7d5f6a9c57dc66060cab44a86cd662", "b55dbcee433917d4fdf3976fa49cdd73a2bdbbb4", "4cb2f596c796fda6d12248824f68460db84100e4", "48fd03f97ea949b6b7f44d8db86ecfe3d62c49dd", "fa1b849697115ceede0a08ac552ea25ce2bf33a1", "8e351b3a0beaf62d8e1f8f879451f06577f9d04f", "22bdac0a9f98ac51d6db21f40c05d2dd80bcf3de", "0b72d7bc2639be9fcb54cb10d06e17e5dcfbe750", "d69ea1032b0fa7ed62cfb77c1569e66f2fa4703b", "c16bae6b2e578df2cba8e436e02bdeda281c2743", "1e747986c9efd481d380b28896115812eed54f8f", "f96bdd1e2a940030fb0a89abbe6c69b8d7f6f0c1", "29c0a5eb91c3ea95e0bcccec02e1f5c71adf0a81", "271e2856e332634eccc5e80ba6fa9bbccf61f1be", "c232d4989ad1bd9ee19d8309cf0fdec2a5c3895f", "694b23e806db505c0d5de29a7670e898043d3ccd", "73acf6406301440db5cd20d59843b145dba47556", "a082b1ee9a5bafe678539e694197c0910d4a09b2", "e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836", "f54eda209f30f9df2b11e4fd0d69bf15f6bfb9ba", "24662ce3f3499ec8c5ecc546dac69dbffad578c6", "75776ce56e649dda68d9a8f13a9df911662e5b79", "4dc94f68b13062b52b59141a77741d926d181fe1", "10afbfad8c01bf44e6fed021b53000b77f9ce564", "50bada01c37daf2ed11350b4b0d2be28d9bafd0a", "0c1d40de56698e672d3906b96f47ae1361fc3912", "2d9a49666bd72e7ba06579d9411ceb2df5205466", "3f089131d71321461f84a06064689b6daad951f6", "51144365fac99623cc7ab9038b7cd24b9082d5ae", "02f1d5035e15fcee198da9d67e6a182d52a94564", "6946acb595095407871992da62298254658f8d84", "5c22982dd4baa68cca5264263cc954f47503a46c", "3d0e9dbb81c4fcdfb179342f57f9815a5ca2b659", "48019c177ec1e650d0d67feaaf38ae12a74fa644", "d1d15291dadc44f0cd192dc88bab3b10e2b07ccd", "75d5e67e31cefa09ae46044fa1f9f7696e058c99", "1f00f197f222be4a3b081515eb8d3f014860cec5", "84ba2ff2a4d75e46bfe39c18ad075f4972c3ed73", "250252b9693778e0af653efebfe17f68d649c8a7", "dfe98039db4aab11338900ae393fe02eda4f2374", "eca4aa7238d232b108847edb62a49e38cdf8115f", "b92a057606a47eb7de6ecc180e4dbf53c4a8d4b7", "ed3bb078cab7f423dacf6e946538c6fd22e96e1a", "a2cce59fb47aef0974efa89145d6591501bbb318", "1f72bead6784e66e0e0e8ea434a342eedc7f9e64", "03d1695a2788969558cf17ee2a391f191b77c7d9", "65747ccbc558ba2ffb6c1726ce5808f0c5f81774", "6f71a23914ee823a54c5b77e8a424a5094b70212", "ca1bbe0a5d7f202fa47b836c0798eecaed926818", "4c7c1c2d6eebd227b1e768eaafa5a61e27552567", "ee4c659ad75c302b223a3815a65aa2e304cccc30", "dd7faa9ebacb64bcf4210c3be76202c592e3d637", "559bdd52d77c1d5c60d9d837168f4b8affec877d", "55b55426fcba3e298a20a4b95753a906956fc2ac", "9a7973f85c7db836efc5d00eab80019d7a94fade", "0b875d54bd3ebb87ff63f0cb46bf53e1fa3299c6", "6462a1def50d89eb485a59f99b4094c33f705de7", "a6fe55171ca0dec20ab9f3c226351aa65d6d135e", "22ea4705091ddff95924cc092373aa8e87699765", "d23ca7d5f846223b793a5694dcfd9cc931aac1aa", "f746820469018e2b431763261f22f8ba800ed1e5", "1997d4e2ebb511d7dc7ce96d746bc5a375b3fcec", "5b7870359b8b9934453f8e772ab7c3f9df3a5035", "2fd007088a75916d0bf50c493d94f950bf55c5e6", "d82507debf90ece1153481a2cd7970d65b4a4a73", "9db17e98592448c3d1a6dfdb38fde90ced7f3d68", "4003a42a10bb9d5f30fdf8e8f8bd0c2ae4db5d0c", "15b07dae17f184c8e6efbc9d2b58526d8e8dc9d4", "4936ae4eeed5bbfde4460333bbf243ca495f6afa", "31bf8d7f5d373a2dece747448306e2228be51016", "f5638a48ffd8442ec783a06100ac252152784eec", "a9771fafd73b650235e6b5970e494187df9b3922", "2bf646a6efd15ab830344ae9d43e10cc89e29f34", "9c42fe587d3c1640fa44e9ddbbc3946382b06368", "e89efb10399d347a6222534523a1f8e67ecf4dfb", "021dd3df72c8d29813c3ea4d314f1f49028e44b1", "f8cbc1afdfae8fc50625ef859e7c0fc670052ae7", "fa21c47308463fa57cb6f56b83fdc44e8cddeadf", "1aebfca04911885b18833e64e6953c24a5bd9af1", "86533e0737d8e41edcf679f1a157d9a3ef56f278", "d0e87275aa98b174d5dfc4aba6486700def0891a", "b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3", "1e058b3af90d475bf53b3f977bab6f4d9269e6e8", "60970e124aa5fb964c9a2a5d48cd6eee769c73ef", "7b46135815a3ef42e83607c24a5512ce811ef894", "a50b4d404576695be7cd4194a064f0602806f3c4", "e6976219ec2216bd605d007e52915558d1eedbf6", "6308e9c991125ee6734baa3ec93c697211237df8", "96c07a686b9610e65e5326a0f5a2f35004de0ab0", "c4bddf62e31dc4f1234772dcb952496a1e77b179", "fa4d9953e3c7e75389b98efe00a3b0aa2baaa908", "418b468b804379e8a600bca0395e01bffb7e08de", "09733129161ca7d65cf56a7ad63c17f493386027", "e83763cda3533ac93a0ef8cdf6eadf79d9b71509", "35fe5bc1b7edf2b3be4044de53c0cc8dd615d717", "8ac621e1e5c57831940600fa44e5b98f5be4c4d8", "41cba0016d5341670699c4696d71ddb5a53adca7", "7d90d5d82e92414a6df6e72c97696500a67799be", "4f4246fe254e675d5ef9a77345a67c5478fc0a3d", "b9696bdba6e16959258bad17ce26e6a643be5faf", "cad332c213bd1795ecd1f8560d08f82dc0abadda", "b71f6b1684ae2a55ecdc7c70155ff85bf6cbe6e6", "43cbe3522f356fbf07b1ff0def73756391dc3454", "2d5d3905adfea7a6a8371dc2c5edc669cadacf70", "c1605859fcb7cedacc5dc5aecd3e63eeb7a126da", "9112a4f2da74ff5976dfbf69366f69a23c154245", "48ab839eceef1c4a395a8dac764a7b17e9efb958", "8b7724e2e5dec9a0a51e84a270c9b9db84b205a6", "b46858ec8d4c3e64bfc058f208a86f7b2be26fcf", "a56c1331750bf3ac33ee07004e083310a1e63ddc", "a5f6c7d9fa7c7ca08cbd83f409ab043825115d16", "9d2c3857f74b89a6a64bb9b7b3094e6de7c133e8", "c592e48ab59a1bb721e8f74a15c6d4714716e195", "1c11f0fb2d03efd0006fbfa6545c1393f134d6ea", "2126109a919edb04cf45efa9cfc6dff708136d16", "32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b", "758d481bbf24d12615b751fd9ec121500a648bce", "57e8977d603ffaa536bb975f879b8f9a0be069ef", "0ccfd05c31685f1aa4a55346eb9ea7057bc5fe8b", "656ef752b363a24f84cc1aeba91e4fa3d5dd66ba", "2cf9088e9faa81872b355a4ea0a9fae46d3c8a08", "0394040749195937e535af4dda134206aa830258", "5253c94f955146ba7d3566196e49fe2edea1c8f4", "6676809d0ca8ad0a2e90520cd65369a22e6fe699", "1d1184c92e7651d09d3231b4e650f3611a8e2c8b", "e6301f40d56570b4e1ab5eb014dd610c39d67f5c", "8f992ed6686710164005c20ab16cef6c6ad8d0ea", "8b3d46b286412a6241dd380c8e24577162010d4c", "aac39ca161dfc52aade063901f02f56d01a1693c", "b5690409be6c4e98bd37181d41121adfef218537", "c1ccd186038c7d48111fcd37cfee668e335277c8", "74b0095944c6e29837c208307a67116ebe1231c8", "c0723e0e154a33faa6ff959d084aebf07770ffaf", "a237e3d89c460e1b2e3f12c5d4275bd0c6eb47a8", "41c506d8e6ac755a8b4616c695aab97ba89c23db", "54aafe33c4a32fb5875d04fd4a6e6da50920c263", "234b5d9e48189199d5fa5785fc4196abe1549f83", "88fb65c5d2645aa0cc212d63754bfcd24590a947", "84ac1f99dca12eb53549bf085388ce3cf5673b74", "ad784332cc37720f03df1c576e442c9c828a587a", "13f615a51b17e4726da17b692bcd80432481f2e5", "928b6bc4492740e8eba83366e9b21eb47ba59067", "f842b13bd494be1bbc1161dc6df244340b28a47f", "3917bf2cc075ef075d9c879fc9ec3349ea116735", "35d90beea6b4dca8d949aae93f86cf53da72971f", "8e158fe4fed61e9a0b16944820365d0a6ebf29a8", "54708655fca567e3e4a8f0a0345d4a17c7288eb2", "956317de62bd3024d4ea5a62effe8d6623a64e53", "0cfb0fe4c4fda4dd5438e185a59f61387d4380fc", "1ec2ad2310b29380716897278e22574a9cbc4a58", "7314a2d0251ab9d65c0a468c39bbeacc3d565408", "6189addbbd3f48a220380eddedae7909d4adfa47", "d1592f44b4e24d9790de1f344ea971449dda7c6a", "59d1b95786ef51ae9f407fca59d267f043e50527", "b52c0faba5e1dc578a3c32a7f5cfb6fb87be06ad", "73a35a3129be46c46d1aad659322ac611a613045", "9a5f3bde520fa1be393867ef82dc0b49ac053d13", "b446cf353744a4b640af88d1848a1b958169c9f2", "158aa18c724107587bcc4137252d0ba10debf417", "86ec0e331dd494533e16dd638661463b7e03edb7", "6d4c64ca6936f868d793e1b164ddaf19243c19a7", "023b19a690841b7541bcf61a899e56bf991f6c8a", "ffaad0204f4af763e3390a2f6053c0e9875376be", "2ad7c65b61a311ad64b1b5b04ec9c61b9580ccbc", "60a8d30b726bc25779e9e3367cf0d46bb6302ddb", "51520d6b275404562c7116b03c92f8477f8ba821", "eb9b3ffb765b74ab920d5f443cff890096d5ad2d", "6003700dac1158c876fa1cf94f3830a54608b375", "c78692bb455a3abb00aaa06eb9cd151cde08ba1c", "96b27bde9b78c89efbb8ad924ffb503ad9dc7df4", "daa8a47e0b40bdbfa2584e193f76798c79955fdd", "f6ca29516cce3fa346673a2aec550d8e671929a6", "984bb0fd4137266db58d1f2f2dd498ea60c4cb70", "0d88ab0250748410a1bc990b67ab2efb370ade5d", "69b3f0298ea8d0c98857e6aeefb35635bd64e490", "efd28eabebb9815e34031316624e7f095c7dfcfe", "e68869499471bcd6fa8b4dc02aa00633673c0917", "91835984eaeb538606972de47c372c5fcfe8b6aa", "e9d147e657619c393ca702117602fd7d15675f69", "7ec6fc76bb6d030e9fa5a87ba672b228d0b83843", "2ee817981e02c4709d65870c140665ed25b005cc", "365866dc937529c3079a962408bffaa9b87c1f06", "c252bc84356ed69ccf53507752135b6e98de8db4", "8682dd2caff6b658fbbc02dff9f37e95bc122a7d", "69a77cb816a31c65699cd11c4a3b1b82ae44e903", "85f27ec70474fe93f32864dd03c1d0f321979100", "096eb8b4b977aaf274c271058feff14c99d46af3", "622daa25b5e6af69f0dac3a3eaf4050aa0860396", "4882c926b4833fd2644e7bd0140cc1be96789909", "f0de1e61ba806f3db918f9e498fcc6dfa223b13d", "bb3379af7f557834440a2c28c51ad323adcb90e2", "7957abae15f631c5f5c50de68aa2ad08fe1f366f", "62bebdd874669406a858cfd7e7409c3b8dd80ef6", "b658fefafe36edf7c62fbc9eb728ef971f478e27", "7b0fe31043f19750e75f6d171e267b68bbee30f5", "576a86a57a3e69f2f52740a46e4a446d4bcede97", "126535430845361cd7a3a6f317797fe6e53f5a3b", "a090d61bfb2c3f380c01c0774ea17929998e0c96", "0aad706c0b9d1eb4f262c801c3782ffff7281de2", "abbd84c0a5bb081fc24ab760c99b57f9d2a9e490", "45a6333fc701d14aab19f9e2efd59fe7b0e89fec", "2460d850ce9e9bb9366b2f896c9377524ac36c15", "6f0900a7fe8a774a1977c5f0a500b2898bcbe149", "36a17fc4db6c12f2b1e4e04131824a24aa1ee43b", "7ae95e5d44a8745e38bc98b0774d24bb7adf8086", "03688aefc3f5f07c3abbb76423ad03d1e44eb7ec", "1ce7b042e67d909ccf6088c30bbf095dfe53597d", "205616d715f9ce237775cda1d6edadb6e410a14c", "c0c1e8b48a6ed1f6a496c67944322b80710f747f", "8a120fbfabc8f69aad8bfe127e004eb97f7d0233", "bd9b7f47ad3a278e29852eaca4efe967d9aa3e93", "fc5538e60952f86fff22571c334a403619c742c3", "9a334566b79bc6c6906e2b5285d5ea50b9b99479", "034c1fe8ac2d1ffe221597f0d4443c6d1655ac13", "08fbe3187f31b828a38811cc8dc7ca17933b91e9", "5899177113947d5463daa92a6d1cadadc71ef253", "9a28bebcd6761b39747b23eacfd8265076c4bcb8", "cd5b9784c3663d0773af73ddc1aa73f13f0a2474", "1ff896f707a5ee2868282d3272c6baa4a61b406b", "a7b45bba9b93aee6188895f5eb2b3d7da28fd588", "6a0b70abb9a81a96d4baa9b396deb9da4cc20f8f", "c4e2d5ebfebbb9dcee6a9866c3d6290481496df5", "2d3b11e267832bda506d58419e63d9a096369616", "2f8183b549ec51b67f7dad717f0db6bf342c9d02", "cf8d48fc11fcad3076a45cec68f107509a0a7aa4", "b93ef6e6be98b4de41bc0de944668eb9fdb781f4", "22288423d1caddf6bd4f678244c071dc2b727be4", "2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9", "78a4eb59ec98994bebcf3a5edf9e1d34970c45f6", "a8604cf391facc4fd8738a20db89f9cee5f998d9", "a3775b3a0e78b890d9ca79b0aabd982551474a88", "f25d11f49acf6340ac1e31c2f984ed85c7531343", "45de1aa355745040b1db312f1f90a5cc344bccec", "0c7da1f0c86a6250ed956d9ec7092505e64da865", "efc78a7d95b14abacdfde5c78007eabf9a21689c", "2f1b521c29ab075a0cd9bbf56ba26ee13d5e4d76", "76d9f5623d3a478677d3f519c6e061813e58e833", "91b3aeca88e910be86f23a5bb6c1a2351eb23fae", "19296d0050cfb9618facffc22f0b0a9757882977", "0ee3ebb327dff07045901485348f290bbc46ec1b", "64fd48fae4d859583c4a031b51ce76ecb5de614c", "195670d31dc6edac26e58d280b26b36abf1a1b78", "76af670a2577bb527d452ebb8a6132902c20aa0f", "3933416f88c36023a0cba63940eb92f5cef8001a", "7f2a234ad5c256733a837dbf98f25ed5aad214e8", "89e31777f221ddb3bc9940d7f520c8114c4148a2", "04bcefafe9313add468d719131eac59100015972", "03bd58a96f635059d4bf1a3c0755213a51478f12", "d75bd05865224a1341731da66b8d812a7924d6f6", "eaaed082762337e7c3f8a1b1dfea9c0d3ca281bf", "1270044a3fa1a469ec2f4f3bd364754f58a1cb56", "c5d9ac2f52c9fc229890798b9d6e4d899b72c525", "fe8b2b2a2ace6d6af28dc0f1d63400554c8c675d", "70a67688de6a061c41bc34af9825036e864cd847", "f179f7888934b11dc5a2d8ff9205d1ca8b8a1599", "e8026fd588cccf00eab4e75807b830057612e270", "115b020a2d7d7cff342f69a6cf0a461fb9b46f3e", "4b7c110987c1d89109355b04f8597ce427a7cd72", "d5e14ac4d78654bb68a6693498dd8c742b91bbe6", "acfd9cf5d48cf0ae64661affddb9f90d0356aab6", "3fd7697610cd87aba8a83e2d2171fe51602162d5", "41eb77689fcae606b530b8a7fbc5b17ec9e65307", "93a2a0f81f977f0d881ece70391bc7a49b6e9b8f", "016cbf0878db5c40566c1fbc237686fbad666a33", "0ef96d97365899af797628e80f8d1020c4c7e431", "60838941f9c0c14376e5f32d43eed350470fc7a0", "2988f24908e912259d7a34c84b0edaf7ea50e2b3", "8bb4d90d5b97e8d08d2aaa99e9c075a506b3108a", "3a95eea0543cf05670e9ae28092a114e3dc3ab5c", "426a8a0a8f6955ba7a60bbb192d4bcc97b557b62", "dce3cc767c66e46243f0ac6caa1ae0d07d3b1e29", "f41e80f941a45b5880f4c88e5bf721872db3400f", "176e46e33f2693c5a37f65c16c797aa8e7dee2f1", "3e3a87eb24628ab075a3d2bde3abfd185591aa4c", "d12c836c67ec0a03a52437a3c9705bc905cf8b5a", "a91f26feecd83b1b325f109081548ee8fa43b438", "5304dd380f7590683456ba48fd81c68c8795ab09", "597a541c28c7e68a29fe6edf13d0741a6a3e6cc7", "3eb8a7e8b517974e9df2eb89e085d62894891977", "003ba2001bd2614d309d6ec15e9e2cbe86db03a1", "052e935a65b06e05f4154021dbb33380edd26576", "4f7e9e22040ff5eb81b6347850330ee8dffabbef", "16c1b592d85d13f1ba4eff0afb4441bb78650785", "da7bbfa905d88834f8929cb69f41a1b683639f4b", "2e0addeffba4be98a6ad0460453fbab52616b139", "6fd900927c93a8e9f0677aaf7b4782455c35d533", "d80941f492c0f09978adc2745f96ac938c5c2d37", "28d7029cfb73bcb4ad1997f3779c183972a406b4", "cfdbcb796d028b073cdf7b91162384cd1c14e621", "6ff0f804b8412a50ae2beea5cd020c94a5de5764", "c5844de3fdf5e0069d08e235514863c8ef900eb7", "18b09b3260aa110cf5b358cafa95b7440f26be7d", "b37563a750eef10830a03aeceb9c9d32e836b7b9", "960ad662c2bb454d69006492cc3f52d1550de55d", "eb38f20eaa1b849cabec99815883390f84daf279", "d86c285cd89cad9c91bee28a44d5e463b3c8bba4", "cc5134e148bd4392125c752c4b5ad259d398abfc", "8c7811c029905f4f3e9f31e925634a42e413f6d8", "2e696c2776dc0b7fb923628e5fda0b5dc9a0335b", "cfeb26245b57dd10de8f187506d4ed5ce1e2b7dd", "02fda07735bdf84554c193811ba4267c24fe2e4a", "8027a9093f9007200e8e69e05616778a910f4a5f", "50ee027c63dcc5ab5cd0a6cdffb1994f83916a46", "817321d4008bf95e9be00cf6cb1554a1aed40027", "25dcac4afc64a2019e6b4e34786b8f9de9d3c860", "956c634343e49319a5e3cba4f2bd2360bdcbc075", "af52e0fe21ad286c443b63481bdd1a24d4a3b93b", "518edcd112991a1717856841c1a03dd94a250090", "971b3c1396970420bd723a51f7550938a50c2c24", "87309bdb2b9d1fb8916303e3866eca6e3452c27d", "028e237cb539b01ec72c244f57fdcfb65bbe53d4", "34a7a77e533baa5c6c14e6364c2ed6eb66331cff", "6d2fd0a9cbea13e840f962ba7c8a9771ec437d3a", "84be18c7683417786c13d59026f30daeed8bd8c9", "1125760c14ea6182b85a09bf3f5bad1bdad43ef5", "748e937cddc1b8335cf8872e74adbf681c0a8d1e", "be06e8841bc1e7205bd8d3fe77470a3369ec96b5", "4993ab9c737e5ae7799e9ec636235f527bd00637", "2a4bea0e308c254444216d72c54ac12062c382fc", "60912e6fe983b5030e6ada20444662b907d0d7da", "07b5d38a050308ffa082a74a5a851a8f8a33e2b1", "49e85869fa2cbb31e2fd761951d0cdfa741d95f3", "56fa0872ed73f7acfbfe83677fecb2dbc6eaa2fe", "3e4d8f29b792db30329024f6ad4aaebe948d896e", "4ba38262fe20fab3e4c80215147b498f83843b93", "01d2cf5398c2b3e0f4fc8e8318a4492c95a0b242", "f43d456ce77c093460e02ae450d15577d04e1d34", "539ae0920815eb248939165dd5d1b0188ff7dca2", "64a08beb073f62d2ce44e25c4f887de9208625a4", "cf97f2eff309a76408ac9e23936aa21e0dbbdf9b", "464159a30f6a469916e4bb5efde42a95e8f2bd10", "636613c0b0092c57566eb4697e905fc3b9646a09", "bd6099429bb7bf248b1fd6a1739e744512660d55", "e4b921ac6e5859e348d66688e70c00889fe448ed", "8aee8e4860346138f1f70aa98c19533e5b7b7899", "2042272213a821270a320bcd2732ca91e6aa09b8", "a9f2e27be70a75f5335df280d2243c87c76c281b", "3bdaf59665e6effe323a1b61308bcac2da4c1b73", "7bf0a1aa1d0228a51d24c0c3a83eceb937a6ae25", "34e11e351dd9ed2dc982016528708c5953a204bb", "fcd62fbb4031ae078dc6471a7a8bd63966719157", "a87c4eb335d60eed7d16ef78e84831372c09a7ee", "335af998fd86806422a4500ee6defc26df8a5388", "7a1d52a7e206c1b20a45c6c2726a99c9fe2d8d47", "4234b70ef6aa25c1f39fc3226d5897ddece63783", "d41bcb0c79f46aca47b9f9b8a779ce80a2a351f9", "ed94e7689cdae87891f08428596dec2a2dc6a002", "00fe4f5447a848b4c2f4183e014b7eeebdec84cd", "9a1246da9730ddda1f982a668816b501791a2a64", "c3b19b65c0178142683c2a3318f492da8bcadb1a", "0a4a8768c1ed419baebe1c420bd9051760875cbe", "f88ce52c5042f9f200405f58dbe94b4e82cf0d34", "73a554f9d2c96a7bb5455878a4361b6eda4ba683", "43e268c118ac25f1f0e984b57bc54f0119ded520", "2c10ab9fbffcb0562adfa8cd523f090c497d649d", "c1581b5175994e33549b8e6d07b4ea0baf7fe517", "6a16b91b2db0a3164f62bfd956530a4206b23fea", "f3c08d3139f14689a07a8208c90fea139817552f", "1d10010ea7af43d59e1909d27e4e0e987264c667", "f2eab39cf68de880ee7264b454044a55098e8163", "1032c2c6a95f85d6465ffac7c1dfd2842a457f10", "259e35fa5a57cf16010621639957777ebad72367", "49600d98d45292a7bd8d4b7626feb00e22ff6768", "38f8314b006033d1fcef1ccc547134824976e587", "153e5cddb79ac31154737b3e025b4fb639b3c9e7", "337eb9cea869ba22b7d684b34642fb6d90e32997", "182f3aa4b02248ff9c0f9816432a56d3c8880706", "658371a7f791d7ddeb266e939381d278ae809da5", "03fb3df33208b149252717e2d27e1313ea170a7e", "521120c3907677e17708c17c5b6bab9087e61c5b", "87f452d4e9baabda4093007a9c6bbba30c35f3e4", "33695e0779e67c7722449e9a3e2e55fde64cfd99", "29e96ec163cb12cd5bd33bdf3d32181c136abaf9", "87f738d3883fc56ef0841484478b89c0f241df02", "7eafebba9ffcad7ad29b6de2224f5fcdbf0290b8", "c1d239b42a8aa6c2cd2f3b95b3a00929dca20b19", "4ca9753ab023accbfa75a547a65344ee17b549ba", "b58a9cf29e4754538a916a971737a9475aa2df9b", "690d669115ad6fabd53e0562de95e35f1078dfbb", "0c345b159d5e6ecf23fcfba89d40b736725dd011", "1ad5cb4c1eec5a9666b5dbbb6fab43576d0935db", "2608cab2910f53e5738664270c7b362d9ac4332a", "00d94b35ffd6cabfb70b9a1d220b6823ae9154ee", "89f2a9e37fc6c0e5c1175f36ef8d6f1c6a9678f1", "a9bdeb1eb5ad47618fb0d26f97c071a262446321", "4e19dbb5421436fa7fe3b2ddea11b31ebe65c5fe", "80aa455068018c63237c902001b58844fcc6f160", "25127c2d9f14d36f03d200a65de8446f6a0e3bd6", "505e55d0be8e48b30067fb132f05a91650666c41", "d18cca5e90884020e748e7fe2d13398d3cbd14fb", "1e1e35284591b6a69569c48b3677b6f4409c5edc", "2edab301935d1e1faa0859897b617862d4fede63", "60d247a09ecbf3d04e89c0427fb33575f3759d41", "d4331a8dd47b03433f8390da2eaa618751861c64", "1f0de93f24ece9d74be1c3ae8d53d773f2e80ade", "c2d6fcb629baeadf3f7336a8d639274dd7b281d8", "0ebb71e013745b5ccc7ae1e17632fb6e07da2c4a", "0e1983e9d0e8cb4cbffef7af06f6bc8e3f191a64", "9b2bab14258edae9814d08111b65fd086cbe8d25", "75c1268e4f4411b187b6cbdb7117d4be886f039b", "fb2bd6c2959a4f811b712840e599f695dad2967e", "4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676", "266602ca695e504a9bcd18c7e3b46e82b85733ce", "16671b2dc89367ce4ed2a9c241246a0cec9ec10e", "dcfdfc1b8fe03b5b31ca61bbaa284533e1d7d7d2", "16c095142cdbb2d2852028e52145471922a7714e", "4631ea6ae36984485b33043660c3a9a8ddcd86b6", "055d3a41298fe36e0dab50c19d0c43eab5d1c020", "2a8a2902fe61c00b5096435c07150543cbed8c2a", "710ba7597a16e73a9f1bdb42153fd4626c7f4a49", "9bac481dc4171aa2d847feac546c9f7299cc5aa0", "e7b7df786cf5960d55cbac4e696ca37b7cee8dcd", "e42f3c27391821f9873539fc3da125b83bffd5a2", "e6e5a6090016810fb902b51d5baa2469ae28b8a1", "918b72a47b7f378bde0ba29c908babf6dab6f833", "3983637022992a329f1d721bed246ae76bc934f7", "e83e5960c2aabab654e1545eb419ef64c25800d5", "ba99c37a9220e08e1186f21cab11956d3f4fccc2", "e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd", "f58ddc47e485bb1fe70e150a7e9d7c2ea1f83d8c", "b2e6944bebab8e018f71f802607e6e9164ad3537", "41510adad15c56c998a3190c550c0841614996dd", "ae92d134963aa3ebe6bc6de216ecbf7d1a587ec2", "6a092b8bb90234aa48a25ca12b206929fbeaa4a4", "6f73807e309b262c5761c7a73c6a5609679f9f02", "5a8afaee351e2ba4f37a6dc06d02f88f653db1f6", "8f6d05b8f9860c33c7b1a5d704694ed628db66c7", "077d88f5378e6a4df868609a53faead2c2b8b4a5", "d9739d1b4478b0bf379fe755b3ce5abd8c668f89", "84b3c815bd7df7a3a03bc0485e633ea08c71e9c7", "ca902aeec4fa54d32a4fed9ba89a7fb2f7131734", "65723941ebbde69fe1842b9c2a405bd499a7d266", "c6f425f7b6147aa30b26c730d478f04052208e08", "c8d36a1ef1555fe4f8026f82f4e8905701519579", "7e86e86de52810f9a7f596f7b8ae3e89b4f44606", "57ca530e9acb63487e8591cb6efb89473aa1e5b4", "4e46301327280138c49f3ca4c268dba6a9cd4da9", "3d948e4813a6856e5b8b54c20e50cc5050e66abe", "b6919d278aa46648ecf6f64218efbd6b0fbc53b8", "b3191a0848e6c3fe7eaa8200f1668d0eec767414", "2fbb2160fd28add63da96ae40ef51e89d2608f92", "86881ce8f80adea201304ca6bb3aa413d94e9dd0", "6d207360148ec3991b70952315cb3f1e8899e977", "0bca804d834da6870ccafc4a738e9a5a54c47b63", "da6cb7b63fbdb50bde5a23731f64d98e13b568c7", "92292fffc36336d63f4f77d6b8fc23b0c54090e9", "fa71b3be5089f070518f7c150441b43a0ce9fb0a", "b591430dbc7070cd35a7b1cf7ef519ceb2fae81a", "692d1de8ba12b71bd21ed4f0010d14511b17bafe", "c3c463a9ee464bb610423b7203300a83a166b500", "fa68a1d46a736dbf3094893e73d10f45e36270b1", "983386734fa2e4312457a9129a8844ba4f3c137a", "e0765de5cabe7e287582532456d7f4815acd74c1", "9c1860de6d6e991a45325c997bf9651c8a9d716f", "0ed0e48b245f2d459baa3d2779bfc18fee04145b", "bb59a415a47357b61ef39e93d6bef02f3db1ba97", "05a312478618418a2efb0a014b45acf3663562d7", "5889f0d5976c25aee9a9e9cc470d70220ac5bc32", "2e5b6fb6d6fe250e99a2af47949932eba01f5b8d", "7b7be292b5affb37400624f15674cd8fd39a6432", "5e19d7307ea67799eb830d5ce971f893e2b8a9ca", "439647914236431c858535a2354988dde042ef4d", "a2e357531c5e8b7caf6bf3eeb1f1330b37439d69", "d8b88110f4c9c6cdf69f51a8930364a9d92e802f", "2eebc3fb68ecad910394d107f807e3c9eef8e540", "9c781f7fd5d8168ddae1ce5bb4a77e3ca12b40b6", "461fa46a23fb057d807742d17af64f663d2e4229", "1ad97cce5fa8e9c2e001f53f6f3202bddcefba22", "08229cf2932040b1980c5b8a172a6e9ce89e30f2", "bb1cfe44091679336c5558b4b2de515978e9a657", "5e06558f2b5c60c9c1a64d6bc781c38d0a1896ef", "1d396b39d6a46675891808c1622870a60ae90816", "1169396801c2ef5a60600ae1b3f13cdeb492dfaf", "07ddfc8c78ae0ac15b86d9380a26260f1a34ced4", "951722d388c5bfb906d0e5f8cd9c02d799a9b716", "5e7d213b6cd5d06842c1e6e79cbae9e31beb4cf4", "c05be9d27c8e7cba75a0c4f353a3712d2c6bf902", "0aa74ad36064906e165ac4b79dec298911a7a4db", "f17e8b6c716811c88a82b39a057fe68bd0aaf2e7", "bd668fc2631f9ecbc92631b8be8f707d21fa6819", "1a0e1ba4408d12f8a28049da0ff8cad4f91690d5", "4aac8f4b8e459d06ca22cd1b7606af99615bd5c7", "7477cf04c6b086108f459f693a60272523c134db", "28d55935cc36df297fe21b98b4e2b07b5720612e", "9771e04f48d8a1d7ae262539de8924117a04c20d", "499f2b005e960a145619305814a4e9aa6a1bba6a", "77be118034a700e5b7d9633f50f6fbb7fabec8ef", "18b0cd5f044472803d3436475d3cd3ca648d9f72", "54bae57ed37ce50e859cbc4d94d70cc3a84189d5", "52c89ca39a9fcad716e1e43c0bd4e40101c15d64", "9d46485ca2c562d5e295251530a99dd5df99b589", "40fb4e8932fb6a8fef0dddfdda57a3e142c3e823", "b3b4a7e29b9186e00d2948a1d706ee1605fe5811", "9e4c6eeb94d36fca5778e04e7a1b4f4ac98ccaa7", "093b8f8b401f4a563d9ffe99d2b5a20b3b83a390", "503b6a490c2b24b9d2aaf642a0fdaf797a8cdb99", "319671078659d8845690a6a785421bf2ea8f7b5e", "118a336b7b8f305634f5fad8bbefcff988da601f", "4b429441b2b163380c8b20fe4b33c239e875f7a4", "1ba5ae098566b0dd46a4b68e88c53c18e90675d2", "d723b1242e45b041d254bb85e5f69c0d96ca7daf", "11de4195ecf7b24568b0c893125cd6b8b469f0a6", "03e72b4f932998bc363df1d49650bfa33dcc2872", "573655c3023f938abcd60b4e188e108ee3ea9614", "aca0707883f9d356cdf430ab59989d4bfb765a9c", "188abc5bad3a3663d042ce98c7a7327e5a1ae298", "8c5ccfb019d8dba31cfe3aed662bdf9256b34623", "1fa3948af1c338f9ae200038c45adadd2b39a3e4", "a233cb665a6b44d233e8fb2913e5b57b20e1cd7b", "aa6fe54fab214cc7ed42e25af4302c88ef650128", "5c624382057b55e46af4dc4c055a33c90e8bf08a", "0ba449e312894bca0d16348f3aef41ca01872383", "b88ceded6467e9b286f048bb1b17be5998a077bd", "8998e8a7a0ca9b09ab4ee462a8f15ca653953f88", "c57bd8365fd4d733f56ec47f989877d90cca44d9", "48a417cfeba06feb4c7ab30f06c57ffbc288d0b5", "e0b8e7d684e68054840014b751b85b66fb1e388c", "524db5e7c35c2d6a5345db8c535232b397324677", "fb9ad401113eb5000b50923514f7c6eabc0233d2", "1a3eee980a2252bb092666cf15dd1301fa84860e", "b018fa5cb9793e260b8844ae155bd06380988584", "30ee29aa8fc9f4566cf65ee3300cfb24d8b80350", "4679c92445db1337406fdb824f6becf17d627144", "ff402bd06c9c4e94aa47ad80ccc4455efa869af3", "4adffe0ebdda59d39e43d42a41e1b6f80164f07e", "074fa5163f86175aa338111d553ca6e947a757b3", "b9cad920a00fc0e997fc24396872e03f13c0bb9c", "0a5631595a7e6e74b0dc587dc53f065ff2bea417", "7bd37e6721d198c555bf41a2d633c4f0a5aeecc1", "b8f12a17afdfa35a6c3dd7d652fe0acc10bc77ae", "59c91d28363201f421cbfb8819ccc5c53dacb00b", "84b5f7c7148555c2d0f156660eb2f3dcaef83ba8", "67f1f2bec9cdd5cf52b0732349fd7657a45b10f9", "6aa61d28750629febe257d1cb69379e14c66c67f", "656aeb92e4f0e280576cbac57d4abbfe6f9439ea", "60bffecd79193d05742e5ab8550a5f89accd8488", "2b5005c2abf2d9a8c16afa50306b6959dfc72275", "aecb15e3e9191eb135bdba2426967bfac3f068db", "a01b807b7a3a6df0c97fb0658951b0ff07cec3d2", "1cee993dc42626caf5dbc26c0a7790ca6571d01a", "29bc1fdcf9d2412c13ad9ddf6249f859b14fdba0", "4b1d6a73e5f54104b1c0fc64642aa5c6f9d2e2a9", "8b7832fae1ce38497548e8f747e662634875ac29", "12d8b28e3da6651ec8518319135be956c8bf0162", "732763608dc94ca39b42af8fb1317e0a8b3a98d4", "7b8cfd54bf9392c91af4c4621d793ede638fc81d", "dd0258367fadb632b612ccd84fbc1ef892e70aeb", "c9be1001706bcdd8b35fa9cae733c592e90c7ec3", "7a7db5a1325844b62d2ecf8489872c8f515f1c37", "a0003e7fe6b135b9cd777782ec3ba2d11e5f7c16", "92d20871dc410f6dfe9f9459249eb6b3824a3f71", "0d039f202281d0921f7bece7c5987e2cdf5c0cac", "c4cbef8b1f3a5aee0d9a92ef00971b7c833723aa", "08517a94cbcd1c2cb39a74db13570c05ec191c58", "cf7c8bdbfbfd5dbc1cf6a6d47d7b51a6904fa628", "543454759a1fb6e5f6471034174d4421c9e48aab", "4909ed22b1310f1c6f2005be5ce3349e3259ff6a", "d93366facc8c28c7312da80b1860993f90739644", "cbd1fdb389095f6f2f7f829970f85166eee59d4f", "d02c54192dbd0798b43231efe1159d6b4375ad36", "208659475ab6869b2a4eb5fef519bb8f9b43b518", "d3badf073cb7f6e9e140c9cf82a8b017862b1781", "487f9ab19ca6779a014278d93f3e56ff82dac2e3", "9c9ef6a46fb6395702fad622f03ceeffbada06e5", "2f3ec6d666d7b94b63a104f92859199428b77f78", "7c3c09b6200e9749339eedf41c272e9ca7a3af9f", "d16471d4a5c300a122c1b1a4c802ce4748835e1a", "f652cb159a2cf2745aabcbf6a7beed4415e79e34", "fd228f05dbc4b5523fb0fbaabf64f22425e63535", "2ff6f7e489ae8ff054422444a5e0604e30f3e97b", "72f4aaf7e2e3f215cd8762ce283988220f182a5b", "708123b9b4781782b3b3d7c6ba28ca18e3511803", "191b70fdd6678ef9a00fd63710c70b022d075362", "18532582e506bbcec0b82318e4c65652b913222a", "d7647391c9bd4528b44b47774107e64d090054c6", "9fbe6b06b1006fbb588aca06e9f6cd2a7438e624", "0e05e1655f173b586dc7ac10b3eae6b54abc1de9", "126a7d08d76536fb2c5fb65faeef6ee7ba8cdcf3", "bd97f43f5f077bb7be3cd02b0054f38ccedb531f", "4923b630aa6b0a9c966f34f9debef9c0198b406a", "7535e3995deb84a879dc13857e2bc0796a2f7ce2", "510ec82e78895ed5bb2e8e77c2517b2f95d6ab0c", "eb573174682054790c3dbd7c8b72cd91d2ed3218", "0ea884e470ea285b44c0aef096f3e90efb1d2832", "e0c0e37b447c2b7b417585f9da750b7f1142fa66", "3624ca25f09f3acbcf4d3a4c40b9e45a29c22b94", "6ab5a4d1b79df48f82566545ec40f49899ebaf46", "9b0859544c570276a1ee85e26b1444569ab10015", "aea4128ba18689ff1af27b90c111bbd34013f8d5", "448aac9a3b9c490949602b091391bea16f013818", "4e80d124692d00a88a32559c920579ce80c50a3c", "4949924ea5a5e68e180f71dec743b7b3fe3fb9cf", "2e6e9d117b626e34ce0167f9d69cec6698b0eb05", "a3177f82ea8391d9d733be47e4a0656a7b56e64c", "f2e9616577a0eb866e78e6fd68c67809e4fce11c", "48a71b7fbc317134624eb7019aaf59853d288755", "1edc9eefb555e044f12d8c8cd56e8cc950abf8bb", "956419756558d7a1f2505cde8133bf3021721102", "581baa27b0404940da1d817bb44bcd9085039930", "aaff3d3da7d8b18cc5d9f85d5b1af63ec174fe84", "a751642f7817eba208ad80cb5446e2d482a52e69", "554f10d7b8933e9590551a4f891d034b9b8e8642", "40629398c85c12432979379800c267d2a8c62bf8", "912f107002506ab8c7ae411c8d34c200ba567b02", "079a0a3bf5200994e1f972b1b9197bf2f90e87d4", "14fed18d838bf6b89d98837837ff314e61ab7c60", "befa14324bb71e5d0f30808e54abc970d52f758c", "c5bca6a0ce3a4647c7e074c0ed666dd742c2060d", "0b242d5123f79defd5f775d49d8a7047ad3153bc", "7bdf4b717371ec9d59f8dff39fb7c1e03b8863e0", "48d66e07041b8aa042d7a3d263fddc624bbc1e32", "11a670d3fb02f63207b8c3989143335a2d6f98e0", "1310de9dee71fb8a41f13f6e6c7ba2336a31f104", "56d831143008ec10f8122e5086f5a55aec770ea1", "28475d32e92593b426be8ffdc4e852ed2c63affc", "cc1b7592f29fc3a945a38c742b356167731ef59f", "ad8f0b5dd8d89c0b0805a77dc27a9ce22caf6c59", "4468afcc523b54d909b2b7e6e747c5c0f3f61c89", "2bd49bdfc61788c8ac5621fe7f08a06dd2152fb9", "0e652a99761d2664f28f8931fee5b1d6b78c2a82", "ec9e8d69b67bcb2814b538091fa288b6bdbb990f", "720d7476c5ff17eb0e6ce4ce406561c2c0a69d9b", "ea050801199f98a1c7c1df6769f23f658299a3ae", "9adbbd9dadaf7b15bb585555e7a2e2223e711296", "1b2ad281ef74e366ec58221b13edc6eefdb170f8", "9691055b1fcbe626b5bce9d8d43903094a5c0339", "040ab6a70bef710b61e3b6a183c2d81947ac8f88", "040806bc41c0dd50273921d8d839fda58d20b01e", "c5ddfc020a3d1a4cb5d83c725a683f54a7bf7f1d", "28e1668d7b61ce21bf306009a62b06593f1819e3", "5a15eedcd836337b50a2bfab82ded7a9b939aca5", "49d1afd2d1fc1e11b46cd430d4a5809ac766bee8", "b767abb865fba93f35312127b61ba351a2a91a44", "562f35a662545d839876deeb605ca2c864507a82", "116170983869d56780343823621f2f30f62aa38e", "7a1828e181e3c8bd014c7e5fc1bcc417f122c18c", "6204776d31359d129a582057c2d788a14f8aadeb", "092a9788b63651a48843d658728adcb156036d75", "f6889690bda495bc1f3b2e9f741506aca5ac4809", "be2b9eb4a521d075742e5e3ca821b7f34435e1b2", "a0eafe29aeb6efcd5d89bf96aab7aba6a219ecf4", "080f74ef33634874645a7a55b42a2a89a3cfa713", "5f665729542e1424172ba2200e0cdbe3bdb802df", "8f7ad2f8952740a779c961e1274269c96cf6f960", "c0323bb0aa1782a14f3860158689578bc3b8f5e3", "c143895757c134459cc9575904a2c9049ba2dcd1", "64ca2b37229a5517334a55a4892f6bcfb43fcc76", "9dfe8918f83d1c1a1e059034440eea97679343ab", "772c2c2064ba9201d7249f0ab4ef023919e92493", "582e2d44a44d66974588f04f15badd248b177542", "d39de649381775f6f0f9646abf8ce36785211204", "f739f0df89608d4e1ead37e59070d714396c1bb1", "baf83127cb7d0377256b9cad6f55d2fd55c6f528", "b52ec83f59a59eeefeaa1261e8c67a1372f4acdf", "9c55428269c69db700819cf1790062ce8e306fb6", "954ab03bf13c3f0d3670b283819b96e6dace47e1", "fa8d0cf2c641d3034bd1f534263633b315fc3a6c", "8bd23857afb9de73eaf5b146da7dfbe6bf9fb347", "5adb8e8e5de6b5ae0235afa02e4c9fc74aa35745", "271550eae921bb41b5f71af16981244e916827bb", "5acb1e65fb9c572658c46345b197b614c7a80952", "4dadf6f4d9a180d36e9902bc9b6de3b124cb8c92", "f136e17e3ca8ea4446ca6b737d0b14745bacf9ef", "4b694d5dd573c909e401eff2b8f6dbf7d189a46f", "45eb8ae2c68bc515a1f105e135eea747cfd5bbd0", "759e56b7d706da1b1ff7f31f7a2c166fd3ae598f", "5a4fb4cec2fb4465d4d642a6104cf4f5a83ae80b", "a1402ffb3e9af83124069b71831705e2663204ec", "6124b6151de97f19ef2b1f31e6292c31f3d67bc9", "f888f458b05610f8405dc552d7916645bdaec229", "b6b18e79efd0e789d943b517df7c374e7b965376", "402a5fde740501e6d207d1e810c19a8008a2e2fe", "7ea3b08e6af11989a70e5699501c56dc423f6b69", "392f38dcf4a300f19bec6690fad7a56c9b733149", "4f4a32150b3c88e78eef4c9c8868431fcbe12ae0", "af1c04c3eb4beebfb26552ba565910cf334c8297", "4dfb81596c10cc770d242757e22cb83751ebec43", "259f264edbf7331d187c2ba6654a2d223ccd9baa", "8e15eac468dc6e16104f6682e62920af6e239880", "afb17fe938953087b561b23ef569460a29445610", "5760f16f369867cc0534a53340c13feae838e687", "e14ec7094f4d38203af2604aaa4e1ef26796680b", "d1128415f741c970bbfd149c5ce6317d8abdbf8e", "9e58348c7f51911ad67cc87df132cf9d70da8a5c", "b64f0e546e29c41eb026e33416eeab3c1d9b8c34", "34e23f0aa0032d92114e60efbbc9ad2e649643a0", "e1097d081236759d7727b33bc6a131e742b755a6", "0f573ea21cbf7e1192c009ecb07c5576c8220d41", "0577d999ef271d8db4a434ece159eb0848b11c1e", "26735fdd43c7469ce1f86d719d997519e146687a", "09d078f942ec4ff982714b58963803d30f98dbcc", "d654c2f5b500ca3d561c356ac24121eedbcbc820", "f5dbd6abc0bf17c4e712f8c7aa9d1709c66f19e9", "625cdd2f864d5336b9c90710dec5145b1810eef2", "7f79addf941a90eedd081758554b79eef2878cae", "51891f33c93cb7534c02fe20bcd13046a166e72e", "8fce896e0a75fd5ac76de35b12bcf82f27796c86", "0b28eedcc8ce4c06abc75d9327086ff7c7cf3510", "7a431de47af97ccc2c0cf5880cca5031d79fcf48", "0d1e7e76f69ec37c2965299669dd79285d975cf1", "113a1d0817b15f6330e140bb2ba5ed2620f2d5fb", "006ff99363137e8ae1ad621e6b0160080b77a1ae", "abac66ed5b0c89eed059667c041aedef89dbec9b", "ae42e8a0af2fd26156832df5c718dadf078cf47b", "a8971a8e3e6fc69c6760f18c1160d9cd82db2f57", "ec58c28b9fa38b386875becfd850a84399b2cc78", "eebc4a70509aca8491c2302c8a4241fd82c9007f", "5a18ba401b4a1583bf4d47a0b8f6e69dd9078ab0", "3b7a682353683f7a62d37a7937fdf622c269d3b8", "16013194ab861393df7ca93ebabe0d47491bdd8c", "09e6601c59e52c45fe34ed6054e706ead7edf9e7", "a3677ff1b5ad66db12d81b5175b21ef2ae5f0955", "454875688c220c25b45e877d71138219a1963ed4", "d346b7e0ab15ced0608627c679c25b5eaeff0c63", "49de5abe5f111328fd3fa48c2a0a5c68362eaaa9", "ae853eb6d824e2c3c6b5d90475ef981d3c06cb98", "2d634554ae82d07d8599dc8f2424ae5e9068617a", "89a44748a7efac5856d46f8e2f5727286cda8ab1", "ef320ca75db01fa515f38ba0b390b2925d968853", "c57494a6433980e645416c983bcdc5a4fef73ed0", "92d7223c4c5c44779e1d984baeaf8c64927d4101", "243f795af7ba08fc7abd4a765cfd657b6e111d55", "1a940b13099e8581e708d8edf6864d478c70acab", "7e64d5ccb28bcec57d4210dd707ceccb247aaf93", "c93cf675aa5fd0edd3435b082150ee65bd2457b0", "1b3b69048539a7f4405460141408690325fad133", "0684811cb5df54945921ab762b10fbc6478ec0a0", "f39c44e9e9dad5240af7d4d4020f35da7e7088ff", "0b46dca675879c34c536b65a78c182b7bb6c7755", "e38ce7ad1b5fba83bc91f6961b0f36b196c0868b", "e6c3601146451244f5cf7c41c1190943eaa81955", "45d25029a9dd71f47d2fb0693b9e070a0b1d0f10", "1d0cb1dd4b14e026b7767fa05bb34e5c84cf3d39", "4ff5643ff5fbb791b902addd4b31b3e4eb11b4b3", "b20b682fc822b30bbcc15dc2fa7adc9c8804e190", "122aef0d23489b3d97bd093eadd38c2a73102263", "364c8a768fe821aec4def9a9d7a6b8ef288615d8", "72059220bf0111c4380e6fae93d8a773fee171ff", "1a435b53c61ffe4e90f0484c6e0af4f5a1fd5429", "f8925f543054d2cf411c88437b9dc3398a87c780", "225e9b5edb967b132c97dece8b0a526edff78889", "c91e99c6ab13f64db37375cf0ae6404948e31b7b", "640aafdbd0eedd6001bd9cbe31045aa12223f65a", "47a2252fdb2c5dae498a61dd73bfd48a8c5bb4d0", "0ac39e43deccef7b35f054b9784095027e6126af", "46e05393f9b8169106b7c8e55ef2bd9f1931a362", "4e4acbd9f684b2c171ee02e350dd87f5c472a40a", "58298d7b7f68539e7c657c39d7481ebd59b89f17", "ff101205e1f71f6303073c04a5f23c2ad7cbeeb8", "69c0ee6c2344ee7408b5095b00fe8b162b732325", "015de47baa3862474f534dae527e283681f21c97", "58e95502bc5d3e8a8095ec4d584f9feff9a8cb4e", "490a0623dcde87972701261c5578db2c9ac4c290", "485d5a32baf9290c8d8d7a3520e96e28dd3e8e4e", "09e6906bde8f69ba87b2bec691b4aac5a06078f0", "24b2421d14188e7b12224bd160d12f1fad61fdbe", "5bdfb28477ea9a8a1d4a28cba8675696e709555b", "33daea82ae459324e42aa703b5e9809b5e4bf9af", "875b00be3e95382c930692efb20633ae7994c08e", "02203deb1aba9f54e12c2bf89c3b4096435164ad", "4ea53e76246afae94758c1528002808374b75cfa", "3109e032147962acbb9d0fdce9053ea6d6bdb34d", "36eb5ac678c49f29db681cbfab7576c0619b0df1", "9a1dee546bdf48ab9028900ed034ae9d9da87c35", "f771701d67449b3b48b37cac6820ca61f564cbb7", "c2ed9eaf447cde53780aadd3ba63062dc579506d", "51224ed7519e71346076060092462e3d59ca3ab9", "a018e597608609018f3f11c4b8cda0cb2c6aff1e", "fa657dbe9001c660e4a2a8129972efa6f90b5759", "164a17cf9b22c913068fa9de44807357276aef2e", "57cca04be0637d181204d823535391f8b318d2cb", "4e47663416e0b45fbcfb9d67304f30409a8ddfa9", "5d8eba56d0c1db6873abff7966956bb44e652d71", "536807e72623afe885abc82a6ad075a2e48f8c17", "b885b656f6a5523e8c5d0b6bd6ac5a60ad8057e2", "04c0432ce3732f822464dd180ef09e1cdf407a8f", "0b7e9fb57d91fa44aa5879c1024133c331ee8906", "965dff97d53767a5ed9db0ac0d57d581bcf9fcc1", "6273b3491e94ea4dd1ce42b791d77bdc96ee73a8", "14f964d152337e963e4a4fd3619f6030aa75deb1", "28103f6c09fd64c90a738076b0681400d4d31c9f", "22bc3624a1e6d46f5b7c9208751d4f14fc87e946", "579fabe2a068228d4020050da3d68e9314148db5", "9715aba0688195b2019d510ae3fd8da2e40f6e20", "b2444e837095706998b03fa5fed223411b9d4d55", "9e3db0bd1dfa9e033a2a055a9ac03728cd28e930", "9c9ba660ff8fdf74a81ceaae5ee2e590c7659cf8", "491d42f3df46dd4cb9e2bf3f71f39f5313520d82", "2a31169e3a0f87987537220b743bbf6e79c440e5", "4372ddbf84b8d754ed83229db4ecb3d53ccceb73", "a341505614f5693c8b6c15d9801fea9f8d956804", "b2c0b0a2bbce14201d33687f587a8e51cb800351", "9e8e9e04bfce59907f7c8a73e03f7ebe034120b8", "bbaebcc0a2d65dea32fe1cf2a2aa12c65bb1b3da", "5334e8f42130fb632afafa629a46ab1f0955a86f", "7c25a4b2eaa7bf0bc4e0bd239f05d6c0d4cb3431", "eaaf411826d129c2a31d997dc3f5f708a8186656", "b7f3d16ac463065e99a8cae937592f8134b67bb6", "4441f529631a9278f5893f8302c2448039456fd9", "55bb6235eaec0459183b5442f46501d29b824a9b", "88c5baffa5522ea62ff5d5c41036b92e30d7e3c9", "18df58d5055a01092084b22bf76bef9b1a6d360b", "d1d14401d5c2ffcbba10a867905df47a99445b97", "7faa11c9f104977d49563b52387174b87c3ee8b0", "71dc03d6c837ca9ec1334a63bea24d836de076a0", "d740a9d099a86e234084234af09c060d736f764c", "1afe5d933b58b4dd982a559cc6ec1d17959239de", "7a4b4719554ddc46bc962a55f88a9ae475d42097", "d745cf8c51032996b5fee6b19e1b5321c14797eb", "9caa7f125d3e861450bc3685699fceeaebea04d8", "0bc7d8e269a8c8018a7cb120ff25adf02d45c7ed", "49dcfbcb88139e4432cc0d3cfdd91af30f4d53dc", "35472424eb5662d05928017942c32f4537cb5d5c", "99e149facb869122770b91842fbccaca3d7e764c", "78478816ead2eb2f4b5f8e7d5c06fcadb10f3e46", "255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31", "360bb1bafa00dd1fa90a89766f5ef75061cfde75", "8dccec5593788fd114ef4a4ebd953af80a26c3a9", "3fc24d9d0ea6c52d316b4740a52b4bf28ba29cb5", "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "0f25aa473e808de72c6975fdb1e3e65180a38c05", "b63411ed70ba315b87a716e1809faea48e70a982", "8525a653d2115ca8f2fa061cd81bd268486ae459", "5a41f881700dc4af6e7c0790485345a4cade7307", "37a1937691f69fc4b07fc5229c4d2756d2cf41f1", "df924c5a556f8ad0282982693aff0ff8ccd3d7df", "d6d7b7e882a65663fafe470f0582afb4279879b7", "fc8030f2e34af8a99b25332683ba62ea18abde17", "3d7fce66c1880f4b29171e415cfad57d8b96ced2", "ca1dba1fda076e042794c9242368d33215396037", "3454e7bc68713f03000e6eeaab67d6401ba24531", "4da2a88355cddba0371040ab3f87104797e7a1fa", "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "751960b7e046b2d53315844f6e65b5ca945d7d36", "c038186138b76a625500ff84c9dadb18aae29f1c", "21fc82d819d2a1a70465471be67260a1d6c0982e", "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "ac9feef881ed00a5a5e53bddb88f135a9cffe048", "2aacfcdc5d06c86901852f7b666d17e97822ba23", "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "0c5f74c8e323861d18d6090d8cce05dde22660d0", "47022785c35735a242dbacd4f1f1bb73628493ea", "e4fbd2f5b2068016aba3f3ef6f9bffd695b3a729", "7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab", "ad34d0da2a9f15bd45f8193e10838ae7deb9ead6", "7ed24153b125bcce3fee92785ec8f7af5b011cff", "69e054acbf09a4bebac1c4b14c3f6a1ac6d199b0", "229890f8ccd486ac377eecc689010458035b9a8a", "4e15b6ee0db3ca03348559abc104b734a1e0b482", "00c4dfdbbe7a123790c577c09eba98995c9d5ca6", "ea32e570ddf5661cdb030132e15e68e30ba6b24a", "a176e44cdee30d69732c331de8aba436194a2dd6", "708a55d65568faf8158417ddfb79e728b2b28f86", "eddafbd7ad94ebdf554a2810f1f122e87e0998dd", "5a6dcba2b966b318bc17b24798294d9a510936d0", "212f6bd7163e7175eec7335be8d62249eaaccacc", "1c028833faf11dd565c749741eb97ce811b490de", "984b721cc29b4d66c03b86114554c3bf3403d434", "51e50d6e695e402d95099baee82846748bdfb1e0", "ec19f55500104f68bc62d3c07e7108e1139ca108", "35692e80fa2fc17a1d37a40b3d4ffca28a1bcc7b", "0f431ddce270d277fb5322dfdde1524a4717455f", "53b84c6887bb5c0a02e15b581132eb38f4a69bec", "08d25f86d9ba5d2443bd3852aab01334a3a96dce", "202d1b08ebfdcaf807bcf5ce7a72466b5ec60e5d", "89174737423d87258d3b9d5a660236a0bb66a470", "4b7dc1e99b0b34022aec2bde1a13481f28f62030", "23339e409363a89cb5fe64e18e78a36286724de0", "9cd0d36af668c354b0ff17f2e21cdde2c16b0d4e", "0a5b2e642683ff20b6f0cee16a32a68ba0099908", "3cb1f4c1650f7e55b78abba5a00b56a90b8e0567", "09e66de10f59f2853843aeec6b0d5684fa4290c6", "b5b7f9cfa8f0ddabc850634912cdcd0ae6a79f62", "23752b8fff9e07da1fd7b1b8dd9e2bb692ed2750", "a4bb4474e38140d183241f0c8cee13167a6d2c60", "851ac060db5219f69b6dcc5d96283d597862049a", "51f01948553bfac8d3a2d786ddf793b76c763888", "4ec428bdc1f42d6269fb8d554cc128d28d12fc51", "00e39fad9846084eb435b6cddd675ee11f2dfb90", "4137c8f2adfd3129d02e82a760ea4fcb2011b31d", "42a2b1e7ba92a8b5678ff2bee489a89009a2e913", "189573971c1ef0893d761be1874de2c33a640fc6", "cf40951840bfa9b8721d722e9422c73e3a6fbf59", "141fb4af72c7c33f57687f0233f53effc732c3db", "cdeb16d4d2825da9df9982ed0bcf822d598d75d1", "ba86c9ea9c0453cb8dbbe3ac1d83afd1e2faa9cd", "b64bf3dab761d27a19f2ff4049691dc47369595d", "d168c2bd29fcad2083586430dd76f54da69bc8a6", "08aab46667dbcd875751f1e8ce2daed0df643b12", "e2fc290a245d9f5c545e2e92ee8fcaff4908b97f", "251da2569036cebc2ea109972f412c5b1a9db20f", "7add83ab4ec0e856d88f6e76ea4f585e80def1fa", "e9ce1ab4a1b6204114446cb255c1d7639adc9a80", "9555e76d705da6a3eaccb9731369b5e925cdc834", "a94cae786d515d3450d48267e12ca954aab791c4", "dfbdb4787091f71d27ba6d1e2bbc19b8e160954d", "87879be7d2d65a2b6e257cf10b6f51fe9ab8608e", "071f824aeb7dd87955727f612e4dc5e8536db3b5", "c01a499e52edd49bb5fbe4d0e7309f79a5d9d3fa", "605e2a5a4ca7d765e500300595f5be2fcd05cf52", "b38e915dc7a8531ca6f11a9e0c133a5cafe1d532", "a1d6c15f638b847b7dfbfdc901d1f9126cbdf289", "810f93d0f46a730b04e670da3dad6afa176bd9fd", "4791df90a067b8084315765d9b2dc3896b0b47e5", "39aac8a92315edfdde7f4f2ced20e998a1a3d70e", "8c192cd39f90eb8ff2969f8916ef8967607c5298", "231951807081451293189fbf5ea9269b59724518", "6b6e2c2ff6fcc5837523940c69cf2e9e94bc0503", "7060f6062ba1cbe9502eeaaf13779aa1664224bb", "ef20808eaa02c1149b75fe38b7d5ffaff02dbd6f", "80d109b71001d5184b34d48835a9bc00afdfa9ca", "1d478d088bd07fbd867bf21650846782164c4631", "82752700f496d4575163b2c59a547d24eb916baf", "c6d5d47513d6a7a1b0b92b33efda3f2a866d34ad", "75595c73bdce2e07dee0a4bfd911b36b6945b949", "34e23b934794a5abff251698df09cbac5ad2dd56", "e4834d942338d7a0b9a57fe307784caa8ad4c5cf", "258dda85eadcd2081d1e0131826aceac7f1e2415", "f97e9818a8055668f9db7967b076dd036d25c417", "008dafebbb27eb64a1af8ded8bfe2e7a04c1d703", "7c3ab4a8947a0d1d1014d3e09dcba7485db5ea22", "8949563597276246f9f480d4b38b3b7851fd5495", "d655dd296ef2c346f56b7b9f08fe7270592dcd29", "28934adf9690c6571de2b0c047d20b7cde7e159a", "629b1bdf4d96bb41f7d3fce5c7d5617515303b71", "6eb5f375d67dd690ec3b134de7caecde461e8c72", "e9b97cff4bf7ca4029cbe6b3919f796c6668e1a1", "18078e72bddefffc24a6e882790aca8531773bed", "9677d2f6a994f598c1d631038d49401c5f707ee0", "1b6f3139b1e59b90ab1aaf978359229b75985b49", "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "518f3cb2c9f2481cdce7741c5a821c26378b75e9", "1004d43b8a22b3692fd9018802ace33061fce70b", "5996001b797ab2a0f55d5355cb168f25bfe56bbd", "cccc169185d5a88a9fcdc4ab1477a8500cc9861b", "65c978a97f54cf255f01c6846d6c51b37c61f836", "ccb08ad272cae4705a45c7a642a133b4bbbe49bc", "301486e8dad7a41a1a99fd6fba28ce153fe1e56e", "c0a7ffb06bf23cffc49e67d6359b1fb5db336edc", "79b50cd468fcdba8f3c841c9d28d84ff66fd97fd", "cfb9713dca90b6f975ed392953ad099245d2ef6a", "b3d936c0d82f9b2032949af685a10708c6856d2c", "e3137bb7d73b4f846ad00800b46cc4118d2e0a34", "22954dd92a795d7f381465d1b353bcc41901430d", "dfdb4641fd3c5e559e8a850f7059a2ca646a4bc1", "4eb8376dcf9b251fffa238db8d78003c9a7aed3f", "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "41bde18c16d586865f8f60fbd3773422d6eb5890", "72fd5068ad5a2fe54570e6e758686daa6ca09a77", "2ede3ba3149bdb180387669acd7cc47aea2bfaba", "0878d67f1bca06d3ea8a9354901fba9bf0135cd4", "ff3fa31882bb9c7573a38c7d0883503a464522a6", "256f09fe3163564958381d7f3727b5c27c19144c", "891433740bf6d318782c468638722aebf8bef2f5", "85304f24f5a1800e66de20ad05e20c8c032b7d03", "35ec869dd0637c933d35ab823202c13b9b5d9aad", "7c5dde400571fd357d1093e1829a8bd7917d8fcd", "ee335fb785c332b1ac43565b007461002616f1e0", "5cdc02ed9f456219369fe3115321564c9955b9ae", "49f200f4651a8832d9005ed9b5cec4200f0a411b", "7d621ec871a03a01f5aa65253e9ae6c8aadaf798", "b4b9ec699c873cfbb16647966b230b522bc0113e", "988aa2583c63ada43ca260dd8b5a4a543725a483", "82ab819815c86e85128a2a055a0c0fcd1146b696", "6816cd8f4fcfda892d8f993cc0ae4d9e10db4178", "9844c10635927811e0e5c40f5ba1a074c867635c", "77b11260154e13e33c84599feba4cdc4f781bf71", "327f3d65a380f70bc39fe99c7ad55d76a5f7fff4", "17e7a53456539dac2c9cf8631174c6388f64e24b", "57126589b3fe62c35a36a2646dac3045d095ecf5", "5d1ffb7ba3c53ecc5a90d40380ae235043c16344", "87b93dc5834d945cf6a9e5b53864aee2005d71c9", "81f63e7344cc242416e37d791f7eb83ec2c07681", "d4993a960acf2495654fa7b2b177396b9e705f3a", "3ad6bd5c34b0866019b54f5976d644326069cb3d", "02b852e698dfe85df39c24e7dd39dedf484893dd", "49455079e54d7d06fd2d5617507947a31d4f9198", "7fe7beb207f24056a106b9be31908f807cb625de", "d1f9047dd3a5a086131582b4e5811c07220b2361", "187480101af3fb195993da1e2c17d917df24eb23", "8a61396ab3eae09d5a6b6bd020bb4433dec52473", "2f2e1d2eee8a5a0c389d9dfb11b81964a0754335", "dcd319efcd00d73b21e0830ce9ca085aa05b129e", "6e35585eb37ee8a1de60a10a56a3183af480e214", "2606e6a5759c030e259ebf3f4261b9c04a36a609", "beeadf57a976f23f4fd6fa8a330eac6c81d3e3cd", "b214e3daacc79ebfcfe242c4962c9f8f525a860d", "238136fe55dbebfc6e473f6d5f52448767082c69", "ae76de17551ae635b2d6862d89b254b697250175", "b80757994fc0f784b88e60b37c055302274e2e07", "171042ba12818238e3c0994ff08d71f8c28d4134", "c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae", "26861e41e5b44774a2801e1cd76fd56126bbe257", "f28bbee52ccd41da02f12cb2c93301056d51278a", "53c8f841cbf2c8f09c6ece9d7f164504fe39409b", "43e11904ca961006be79f650025b5d8fbac9913f", "0ae80aa149764e91544bbe45b80bb50434e7bda9", "723b87aca073b7b82970a4580f64ba8c6c64691b", "30193451e552286645baa00db7dcd05780d9e1da", "661bf7aa2de455f966f114d900f92a43f973ae49", "126bdedeb55f2ca1a40e65c87dcb18bd038148b2", "16815ef660ef9e4091a81044d430591348df72ee", "2a2fd2538e19652721bc664f92056fbd08c604fd", "7f3b7acee7851f933402f2a2cf4deb157e996851", "4576b59a44f75120f6a2d17a4e9c52e894297661", "295e9b2ddb3c9c7d029a99d5b877bf3824949f1b", "f0b0dc397cf31df4fda45c0187190c42de5adf40", "af24595c0c8f1b317b6fe2f2b49417cc40094b5c", "7f05df12dff3defee495507abd4870a0a30c3590", "ca839a67ab0e1434e5107eb4db30e63c6607e75b", "fd0a462934359b52051ae95b970c9e01f4f32539", "b7b421be7c1dcbb8d41edb11180ba6ec87511976", "a99361200552e723fc9ccc82a6f98be222e51c12", "3918dcfddf2da218a615dd8f008f6fce436e06f7", "811f42b16e917a53cbcc605112781d8ab76bd31b", "3efea06ad6398f9db07acf34479c81a99479e80b", "47de7339f70075f6ac1a77d3dba23dbe3e435b73", "46c52f92e10fd2f2dddda162ad7995a1658e1245", "9b93dc45befc69c38852f135400f7e2c87e4d804", "15638d4611867b8f105fb541dbb61669fde6ab2a", "464bdf369bd0caa6386dc759a7e7e6671baa1575", "0a8ab703839ae585c2f27099616c40974cbeeda2", "c24c9a9ca6edf52e533951b2700ec23234423c61", "73866bdb723841da93b6ad93afe3d72817e2b377", "c7ea9611446817f7b668882061ab11c7e998296c", "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "17c62bff70eb0919864f111df4930062aded729a", "822c6e34bdedcfbc92589bef72c46569b13a3dc4", "527cc8cd2af06a9ac2e5cded806bab5c3faad9cf", "a7097289a40e740378f5973bee7e068151ef7597", "a8068de468ae9e1d6ebf021433467a449703acae", "3b52d234ce08932f285cfedb96c4457adea0f865", "62035628c85e13c10db4dfe2acedc5741874fc2e", "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "aeb4cb00f0ab02b5a082daebac959d29e254dd8b", "ff3d4f2406ca2d78b20ed94a33983bca3583d520", "8d441303e7f82e3333c216b32d36aa7ae1c6781b", "b8b0f0ca35cb02334aaa3192559fb35f0c90f8fa", "cf01707bafd2850af6a46933a3029bc2a9aeecbf", "3f54660f555c4ef356375ec8c589891478d59513", "0994916f67fd15687dd5d7e414becb1cd77129ac", "46c28ad00f7af265f6926e5384f4ade28361e5de", "57c929b6f30eec954dc5f17a52fbce290d8e3ca9", "e018c7f468a9b61cd6e7dcbc40b332a8a25808ae", "4273a9d1605a69ac66440352b92ebeb230fd34f6", "1cd584f519d9cd730aeef1b1d87f7e2e82b4de59", "26679e1885b1ce186e80551befdf82e57b3f7455", "785ff3f2c027e56c266ea37c1d190121d496b7bc", "9ba8dadb888433f6e4b47ea2b7ec7b0c9f8eeb0c", "f43687ad1aea44b841c7700a1a30d08806d2add2", "ddbb69b0f60960a29c3f861010ec55a22ab86d61", "e8aa9aac39456a422bd7a1a87f943af5856e9ad2", "90ce227ec08053ea6acf9f9f9f53d8b7169574f2", "bccef9817e38e8e9b450edc062f3938f1e25281c", "bae1d7574b94eec513a2c009af6ffac3b76dfed1", "6e7b2afb4daf1fe50a62faf75018ff81c24ee526", "29c9af31eb125b696ce34d0a8c64382f7e97bf23", "281be1be2f0ecce173e3678a7e87419f0815e016", "e8867f819f39c1838bba7d446934258035d4101c", "2a7e2cda27807d24b845f5b5080fb1296c302bfe", "5f107c92dd1c3f294b53627a5de1c7c46d996994", "98d7508f449fe44769c3f343778663779497ccbd", "a1b7b23bd8f2b2ef37a9113e6b8499f0069aac85", "3a1c3307f57ef09577ac0dc8cd8b090a4fe8091f", "87c6ba55b0f817de4504e39dbb201842ae102c9f", "3adae788b345c778d93d51cb9a1a5c38e718b1a6", "92a3d5ab3eb540a11eddf1b836c1db28640b2746", "a00bcd5db27ab270a11e83d3286f0c18a847d674", "f20fe5c662fc90fb0032cdfe39812e83456ca46a", "544c06584c95bfdcafbd62e04fb796e575981476", "d7b534178ef47def4aea4850782b13ef21bf8e96", "fbfb0de017d57c5f282050dadb77797d97785ba5", "bfecffd8fc8c309154b51e8d762fdc03918a2db0", "2ce5dbb12461e78ab923f04e6b8d3b90f2e639e7", "8a12edaf81fd38f81057cf9577c822eb09ff6fc1", "5ff6aa027b2772b3cfb45bdde22ef808ba59acf5", "6e968f74fd6b4b3b172c787f298b3d4746ec5cc9", "c04497a82e1e574abea4a7212406b8e09e72bf6e", "6f0b8920d39ac44eea320a4df2763137a71d851c", "2b2aee745c608c67f931ef064f1d672c0f549262", "425833b5fe892b00dcbeb6e3975008e9a73a5a72", "c4c4e5ff454584ae6a68d25b36bfc860e9a893a0", "8286c8eb0df7c9f1b2000b67066331f4e541f5bd", "0c91808994a250d7be332400a534a9291ca3b60e", "362ec3121d1160824e9b19761d0d24d98c412574", "c3f5ff55663cfd85841553e0159bf4bc41f899a6", "4928d4a458355bbf2a9e8a7567125dd06e459cf8", "50e194109b46ce50f62ee0c769b5f05668f291a8", "37566caacf16f024489f727f7c6ede1e060871ce", "37313658b217202298127dd704c8c1b5c15473ef", "dbf98990383ee38413f55c831f89095a1b009420", "fc47b7b700915f078d4f1b42e5d5eafef1891db3", "1266d931f5ce080d25039ce15be319f39c178a47", "6624e30564908c233bfa45c3503ec8aff741515e", "9dd3f85b2418ca26fb94558de57fdc001615ed24", "d92bed36a381ca9013d74e93932519a7da8e8d43", "74a3618f3268d8d55a27e53dba2f76034dddaacf", "4998afe9e6ac446c14e866e5c1db625c08b64e8a", "1af5f188abbfc38ac2f5985f636e0f53a4cdea10", "379ac913e976db227ff00c7e085fc97f5c8fb247", "16d03786b5d44a29e66f6e0472b8e7ac42e127f0", "4ee8186424af4beb4f2dcc174429d5d52353b566", "9fd298aca910a6c95fc2a125e45de670c471acd6", "04926009741f2a62fc746fd01b1f8cc338f24336", "178199b97983556926c9ac7f06e2d12ec6223803", "225f09fd8103626c486ea9bfcd3770858dcf1906", "0d45baf91f2ec75ff82f6e443ad29e565e6e7e3b", "cd8912d1839f762d48400ffedd789f75106b1c16", "71077c80735a56187ae8308fd90dbeb7a54ebb3f", "763ab0f572ebd0e98bbce533450a0831ab27d39b", "36d59ba291ae64c7cb7829ce605702716e9f1aee", "75013851e8264bde68983289e0c4d0ae92533ad3", "8b36c4675732249963b3e9294a0f52f26c6dd931", "0ac7488dfbab703fad126dbe8e5e1ed0e9f6629f", "a092fc3ebecc9f4a6762104f0a796a7e86890881", "0df476fa7a1f872b2b5802deca3efe803a6c8e5a", "f02a016bfbab5ef6357f34f8a550a5e569dace6b", "f4afc9ebafce950b81081e25efc2d8f5fb1f17e7", "4a3684ee0c64d22386a44c0ddfbf8d609cd2de48", "8860be8cd9a53cb27eebfbf4d3e0b56b08a446c9", "50a48fcd6176b72aea7a61233d3c7fb12a279ba4", "5e108b7707444e0cda8058982b468d5c424b2482", "6388fb33b274d74a158aa3ed658a2d5d9e6553d2", "aebbc844dad9455a31c28d7c006c603cddeb4a13", "309011919f45062ceefcd2275ded5171762baa59", "f8f374e6ae12511589ddb8d31d775a62c558cfea", "265f894d1f7e216a581be05b6aad149d81ed6709", "5dc60d250e648f96a799db986a336ad344577405", "15a99b13627b5f1de5ee0a08c13b954808a34746", "090f24044c4ea2bb7f55cd90f39bb476dde131e8", "de741378150a3a841756973d262541018d0acbcd", "df372ccb1b3220f877e0db8c21c603e57897bfce", "91d83d20cc22bde6b4b06afc87f76a1b0140d4e2", "fa307dac56600e8fe8a0ee03830ed72b014208e3", "bd95446d4b1423b9f9c9243d8b5dddfbd045a30d", "457126a6ae703998ba62f283699f94fe5874398d", "609ab932f6cb0c404f5c14a56217462bc5906a8e", "42954bb6babed6fc16646c6f34083b720593cce9", "75976b1d3fae34f975374357eb9632ebb6c3a5f0", "cafffe047be8dbdeaf9b34016ed14a70424be940", "38bbca5f94d4494494860c5fe8ca8862dcf9676e", "35e855b0c1af4cc7bf62a8eb459c949776fbe7ee", "f4717cc1de51c8b3a7c5b68fd98ae16672bc6181", "aa273b84633fd5355374abdc6df76da18d0ec4da", "8421ff5686cba2522b6c65df2f544dd064177901", "28e34b9238817b5682608673335985841c3d750f", "39a49d7d84305d334b5fb00c25b812bffdd772a6", "52ef80e422dcd4650fac136820554033e54cf366", "df31d416fdd0ca8737a821995fa5b27c3f22a9b2", "6360a384c2628e185543b5b18b9c8aa9babd86a3", "9974a806bb69ed26fb8cf49ebdd53d7756336eec", "10cedf764fbcae9f79713f701b489c06deb47b9c", "8a55c385c8cf76cadaa28c7ab1fde9dc28577b08", "596b2ad91ba21884960c67fad21bc2ac62800200", "042f2399d65d05728364aacdd9932dea2f836b71", "e4878a4dd9f456060fc50e6c43e5a4141eaa968b", "0d7cd7256784d29296065cce07e432142fd4cad2", "abb2073788183294ecede3765f698a8e7ed6de87", "55eaece6db38d90704081ddcef06339cc5af1016", "4e23628370d3ca9695c8eb1eee488a9eea4d5eec", "09556420a7441bb5259fd6dc68af340f6ac15ade", "5ec17a2bc931e31774c4fc783af2b478220a9ad5", "51b7a57a2dbc2df0b0353cfcb4331c8f9c621e56", "c3e710845dc74ab99f8bb57a4941be89942f202d", "dbeed6c04b36e68a60a964f6bdb0459c8f97e719", "5feac72b2e2a88617ad959fb10b5c367a568d4f0", "d9b87198df457f45f74566f6cf1d6fb178b0dc9e", "10177800e4d1dfc0c88460b52e746b336bd393db", "affab4332ae8318c6c470f6639f0360392baa469", "061fe2ffc3c5abc63d5f22306a6944b3a8bf8d7d", "23a68a8b181a2d29172a5b2fe61c72cecdc15638", "650aaa330f088c2a0ba6bc6cb4a1ea7a61bd2173", "23f6a42731ef46f06f0a11308197745edcb58f6c", "5e82282dd5db84772f01cdfb3739ed786b9f2238", "00091da5ae37d0e63854ceb038eb5e7472cb4b03", "958b761f1ebacbc38d4edc4b1bd5b42204fd91a1", "23711ffb488d4579e729caa006bb6b4d8abafda9", "921c33d3036818d4e2d5f879c667eaa669729adb", "661e7e21f3db8c8faa6e4325f6c71377da7f188f", "4eb8dd9bb051fa052e9a2c206bc7bdfeb9645ae6", "7ed5392ad9582662f84b79683678272572225434", "0750abc650a197b30246159b03d06c1e8cbc5e53", "c55f3b1ab8f4de230a55a4702aeefeb6bc0bb68c", "162065fb9de1928f7abd593ee9a1b7d41b5a4310", "5d5bf98df710b9061f0c2e42a0718300a74b6492", "2981465359a1acb7d1a2881a63c520b5b99aa6a2", "e81f0966f04b8755541aedb5de05e40c9e5c95da", "b6dc63cdd08e19cf6ec0aac08a0f82a17c8c370a", "461fbe656e43379a520fff36e7ebd15e433c3d9c", "6bc4ddacc5446553d742b4b9475820ca289fcca4", "9943c11420390ff2cdc2319d63eb70ff1f803f10", "075bfb99ce2dbaa2005500dff90f893b7caa68c2", "134aad8153ab78345b2581efac2fe175a3084154", "1ca9da67e2c427e59a5a54c9b31157e6b8b4843e", "91bfea1584199561ff0e4788722457502c61e762", "91fe10027edf7d0fc26988b5ba53ab9658ff534d", "859456ec4a9d3e02716122bdc80870d5439075a4", "1d35a0955d2c406d7399d54117af58e2f434fa59", "2f3c60ebd92240099e52c1cb6d33832b0b8979d1", "eed98eb53b34820df736203d62076eff81de926e", "50f2f66590c6aac099844d1e1323bd9905b8bf39", "29908288392a9326d7a2996c6cd6b3e6cb137265", "199b14fecde214c0e7cb8ec4126dcdf9962bc650", "174dee2c320e39dc8486b12e3ff5d2284b4a5744", "47c5a9fdc2adb340c5cc61ea97c23a2036f2c086", "004053203529d86d7c753ed5bc54f00f4888acec", "04ce2c3d075e3761700340ed61d6c1a3725fd146", "9a52f7d3d4952cabfba7d88da980371b8c3e2e37", "03093884b0cfb33281cdec2c079b6ae873230054", "72d879305cb0456bb1a0e6161111b2bdee0f4dc0", "1f6e627efb1ac2b31f2b18dce8359ffdc352b3f2", "28dfa207e5390e40e6ee94cdb150fcba3f7903cc", "bc2f68dbdd23f3bc7187169e5e3b66793f5a89a3", "9c64863d567da32962eeec15201dee142777f8ef", "399bf5401a9fbb4945aacc82de2df404dcd88559", "38df535ea9fffafc17c001a424b8aa70cfa2be1d", "dddc2aa21f281148cb22b2cec5635f76ef4e545b", "84302b4e2e70cbace4d7ebc1cbb4efd744dfb645", "23ee28a7b5939382a7d29361ca9ae89c424e3678", "a9c0d70ee98e77916f6cc6714e599040cca4d7ae", "b528b8ec5c7b73ff8cb2962bcc4b10d94fd5dc42", "9b846efdc4e164a281930c3095f06e032d6543ec", "22500fc63c16eb7413afb5a7dd8f40578855fd57", "df11e87694ca73bb0fdee1499193c1b96cf7b5b8", "4aa9a1dd4c0b5d5ebaabdacd2b4665e1f10faf96", "e1cee76d2f9120e603b8c7fc586e6c346cf6476f", "83b723f1f22a04c0771017a03eb936378f3e3ebf", "04d63b8686a0cd3f7cb45d6cf0729d54615cf10a", "a03e7a88cde61e87830c4e55c241c96d890d33ba", "d22f46d367295a0897a179032ae88f6f31b68228", "250fac885611cf7513d94aa7d8ca329abc216ca1", "d6cc417984d633e1e313da4eb7b83fcfb9b8fd66", "750100f1a429d4fb3ec9639317296b6538a2a238", "101c0e66ad693e357bd42f1de310fde3390e8595", "6577a11fc1e022670a0867ca2622b72ef225616e", "de595159fa9f8acbf99e4c39b935cf11cd64fde1", "872d13345d75c299246d41bfea4bbd2aa7e6f30f", "7cf001f745f3020dfc75cc34352d5bc71e552093", "03b4b84260648ce5083fc0168f25dc754768832a", "2fe0058754c9f6759a0354b2b107fafd34fe5d90", "2903b8f45b3fafc26c8416eae0ba264f5b76d8ef", "3824a648507000b7f319b9bf2ec0b7d07bcdfee4", "09ec2d5cba5b15894b1fea71489c5204a338fd95", "334355b4c82ad477a2f44ba61dd04c68048e78d3", "8b7e5be7faa1c78065baa21179c258697fcaa730", "98868ce769fc28d1f3b72379c9f04fecba3edaab", "08ab862450b42595be34510f8da8defcfaec3d2e", "9abf83e8133d84788a3ade059a6350d40647916a", "6af8dce0063901dc35fa0086ab49d84418b32bf8", "5ff3a03d000fe14990b04bbfc634fc2eda0d6eb5", "f3a9651405695d03bb76e141a7999f2addc4225d", "e81705e6100759b75eb71839ea61abc257b0b6a9", "2ab0ad4b8e439d54d69c40df158c06ef569deb27", "9a7843f19b7e1e089db9ba875fbea9773d739f71", "0769f782105118883d59f1e6b5629ed99a6ff7b0", "d98c7dd22a7927b377e523a3a36408729a523f42", "a6f63bcd346750602fa6c1d3c28cb1aafb4f9a30", "09f2af091f6bf5dfe25700c5a8c82f220fac5631", "e131ff6eb5eabebc6b7b27832eb144ecd9599644", "8558fc2016fc9b3db3248b2e75b81d9aa9cfc390", "982ba55288088899dc5ee69750f58415ca748ec2", "8f98e1e041e7d3e27397c268e85e815065329d2d", "f73b5cb120e55284c3bddc6ae2f1937109ff2994", "12ce65bafd9fd535d9c3f9a725d144d898ec2d79", "4839567c67252f9ddb44f7cffc61d7b929b7dec0", "6090ebb9464986e458f8c37d2e08b042c88bf651", "d41cd5f2ffe8934e0c7ab34fe1b814c6c0fe50e4", "12af8628e590b3da288d7f5ef0ac85676b8a7fa1", "1e6b3ae784416252d98d8d3433ecacddfc0839fc", "81782b19656cd70fccc7cccab57db3967db8ad67", "90614cea8c2ab2bff0343231a26d6d0c9315d6c7", "d24a7a7ceb2ddce42ac64d1d07ccebc2a55ed053", "4e4b41b8d9f27e262e4a853082e690c32c490954", "3852eab6b56324a1f2bd47b059200c9c0d507905", "d5e5dc9bb068841ce2b0923d8250489426dc7ffe", "a1dd8e6b829aab38cbca72a1cc2ae20a088d7a3d", "1f1d553be51339208c572f927354033e86a5be36", "e8f0f014c38290d17882542e576e237da87f0620", "707d6fcbcd64e489b660476c7d87e5b2dffc9c10", "11f2e65a0cd4e27505f1306d39b5717b5c5c92a5", "31b0308a886572a23f3f3576d0f7bb963a8cc6fd", "782bbbba012328e80c08ce47de6ed337b53973f1", "3e43c8841696eb6aaf93f85bfa40bb0cb6f7b4a5", "44682707bf06626bb1f0d9b181fb5c45cb446d30", "0cfaee84c8611599a74db98393c6a959d6e10592", "4ac13704507a89a45bc8e8a41943bb98dc1e04a8", "97a0aba4e9a95db17c3d4367f59aad1f02e04b55", "7ae0264e62ccf358cd3e87f83e5a0f49b511429c", "e0eb1d66f244456063409264ed795d9893565011", "155205b8e288fd49bf203135871d66de879c8c04", "1e8711d2fc4b05eac0699c82f4698154c2b057d3", "5cfc5da57acdca92946fc323096608ce0646f00f", "a90e6751ae32cb2983891ef2216293311cd6a8e9", "5585f55bbfae39b032a24521ce65f905afd69a3e", "532200db4f95055a47e16c2e2095edf063f42d6f", "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "e49372992c31412f55579397e615610748b6e6c9", "68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8", "85934ee572897ab2da4f294bced88a6531c2fdcc", "d2b2b56dd8c1daa61152595caf759a62596a85c9", "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "f16d6152e23b032f59eb794fac2d272daa859a79", "05db8e3a342f8f239203c24d496e809a65ca7f73", "20c6c93cef3d0417b750a9c56a9587acb93500a4", "3bd64ef7dad9e68419af9fed4e595383e18909f0", "5e3eacfae3009616456e7c038597eaa50ad049ca", "feb5b8bf315a6b6222f62dd9533b1e0f891a27bd", "f16591cc791eb3ed55246e17115c7ebb3349187b", "96a34b94412cf04fbeb01b243e6cb6e83b5bc116", "61bab86023de164bca3e35fc22944a7262970e1d", "3d33f16ffb3f56e63b8b5c51147b1a07840d734a", "449c804ddffeae6d81a1be1f8021cd540dcb0a71", "10cc976f8bdc0ce269a1239cf7cc6f3a5df7cc8a", "ec1223c8fc16751dd577d3418f61d44a139c7dc3", "3d3fdeb8792859543d791e34af4005a80f348eed", "3148c4ca284d6521769dfde54e3e7693228bda06", "6025f0761024006e0ea5782a7cea29ed69231fbf", "892c911ca68f5b4bad59cde7eeb6c738ec6c4586", "4032597bf9727adc3f4e3191ec17b87d9ce0980b", "85476331edc9a9e3393f736f14aa80ad95f3c105", "727067392502bb44cadcd55680156e9517a3fd65", "bdab45dfbd4e21b707dbf2503147d1eb99d183da", "32a6f6aa50ce2a631bf4de7432f830b29b6b05f2", "704fe3839742e8d022fdc110f3a502e42a0ef89e", "6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4", "8e1a5cb0e9a1100034ad313f9bf6766065cd2b67", "70ce6a55460d825e6be142939ceb83e976ed9f61", "e9bbe558c73de60e40ce2bd8c7cb7a47dacfe594", "a3b87364aa68b371ca9831d333b934402fbc3713", "1bdef21f093c41df2682a07f05f3548717c7a3d1", "8b607928c7af70259a9f8af9e08e28e6037411c8", "5801690199c1917fa58c35c3dead177c0b8f9f2d", "b34487edb8d47c0101d514b8cb63148d80deee54", "e3b20cf421812dc96477a2074d0bb1ee83e6c98b", "a7dab944b42c87c52df2abe016158eafb110b2af", "24e64e9fd79f138cf4d90f65da06eacf031ec635", "52417b0406886154f0b4e2343ad6ac18c0484ec4", "bdb1fca40fd98a966b627ba9b0f4a0ac801dffdc", "6dfa82f00ec6faee1db319c1e306ae779cfc1c36", "aac19081782914dc359c1a6b9cbc626478e0a957", "a416513aaf97060287bf3e64ccdc1ccf85106c07", "602ff4fd0f5bd10c9fb971ecd2317e542f070883", "710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4", "0e14ff81568e3c5aedf6764f6be1ece325f67c02", "02c04a8b7c1232646ebc882caf3793327a510ba6", "89c45ace90d377502dc84825e5039290927ae9e2", "2148e8484c8f27d853872c59f483f0d281fc664c", "65874dd7220664762b5b25f47460b623a7eb0175", "a1f0188029436169002d75af8f23f7ebdad969dd", "548f94f82bf28efa299a64c2527aad36d76b81af", "038b8b2b629a8ba1e2ad6f9319e16b68e83e518a", "c0825a62bbf6a906ec812d0f668478f001c24279", "8d226c762f60a43c92d66db65952eedf19777ab2", "febdce13fdc9d3fd9381602916fbbc395d4ad2ab", "532f91d59d96d28379e09043592903d143218f4b", "51d97f4e4385a3da78bf9277a5426216198698c3", "527249f0b1432cec3e2cadc14cf285008d7f55c7", "9466232ccee3ea887330d90243d8e164426971a0", "2727b5eb800a89570c4c54b2b3bc726be29ed170", "cd74d606e76ecddee75279679d9770cdc0b49861", "ce93f83d69ee6ee981124ed1f20102335caf7b09", "2484a34597a40d846c084e827fda299fd0927008", "d102f18d319d9545588075010f5d10b1ff77f967", "b5fffbc0e590ce67d485f1602c8158befcef9fa8", "8b9934758378a78604ce13914e23c6994caa3427", "69a78c5edc0af189df07b1f5eae24105604a78e6", "363dfeb29263c6399365d86fcee97ed18f507768", "fa8c73899c22b461cc062a10b6df20fccb18800c", "53d0227c40b354cc438c035951da801c9dcd87b7", "97c1f68fb7162af326cd0f1bc546908218ec5da6", "1c09c81b63c84d1001ce7896f45a4ee50e2f8f49", "2e67d919815a073d1dbc6db3153697578257a28d", "79eb37c207ae3a7ea51871fabfc307485846cdb5", "35168a83fa1020c2f7b6501d19e07127d923fc8a", "f128e7eeb1c4c9aaf5f610b538d480b6ad23a1dd", "a35d85c2efd1fb090267980ebb3fd7b6381e3b74", "2b0d16e74abf3c512fc70def14163b119f1988f2", "b7a3ff5153b340e639dd14eb6933e307199afe08", "33be61144db9b7d2878f3ccb1251ee75b4f5ecfe", "305dccd4004560572af2e849a36faf5626990517", "83e71455ee2070617ea35c02f03b7451187985d1", "e5f4583dab0c7bcd9a416771b65721895f110134", "e4ae6597929a5da38ffaf230015aa76587984036", "e78ac6617fee67cfb981423cb6d42526b51bb9db", "537a00082b413b40fbdd02b5584791614f5071d2", "ffc06713436afc4e08bf4afa401ac52db674c5da", "b878518814fee31ce8cb61040301e7a921892156", "a55970013b984f344dfbbbba677d89dce0ba5f81", "afb3a84b7daa92d6e1894f5fefe9b38904976d7d", "7bdac8773dffc917e678db342ccbefdae238fb57", "a1b89c488a723cc496cf931d97e2538ecf9b2991", "795662b9ae10bdb20ddf40ee124ec3c06ae6b2af", "f5af3c28b290dc797c499283e2d0662570f9ed02", "0d9b83d33d7d01b38094dff4145b22348e926c7b", "289c51fdc3fdd57f303d0e270758bdb8da7eca4f", "855cf31504da69daf03766b1357030dd07e485f7", "a9c8fa7e890878fe209f28d358cf5eca5e958fdb", "2129304075990cd2f3317ea67a2acf52b7d7a3e2", "47af13d56bf6882b2c173447ef5ae8adaa18058f", "3fbe9d51ce96e3d8abcbad37611f02d97c1986e9", "c2d7bc19196dd4a7ed1a08d60081d16e0c14f463", "e417e88c13e0f3d5bbd02e6682823b0514f4bc78", "0ce0d440126c43700765e5d12fc95eb962680f4e", "edc5c359ed0fc24a3e85628f57fde59cd9b26dd4", "c4ac98154efdd73fd3ec9954dfb5ed32b95f7ca5", "abf659847660763c94b44c0baaf9198046a11845", "6be0ab66c31023762e26d309a4a9d0096f72a7f0", "8da421994430cab9f586b84e6573b6b705a6b63d", "2c14b1dc3ee73715691c90b139b0b881e4e6bc7d", "c43d8a3d36973e3b830684e80a035bbb6856bcf7", "3323a905a3960a663a9884540e8c3586cf362ba9", "d7361c34e180392e62552c463cf8abad9813719b", "97b3185d948c45a00a190ce0a26abd23e77c9edf", "783b14ab10a95f3dc7a74073886313a256f05de7", "4bfc563ef789273bdb5a0ad5db547c8a0789f4e1", "baf9657d66845e47413510e8ab53fdb73ebba27f", "34c0ddfaf9209af15152399208c31e94e80d60a5", "45eb2362a8e59ba264eb68bbb3a285e5132fdea4", "04a88ab3ee6314997a51f8ce60da6111226e0f37", "a12a08027ae33ebf39523759353372445e20bc7a", "6b5d7223239f02a091db8b9d3624b59994402419", "87283935f0eec5ddc0e5ad3062568df8eb89e7e0", "94456106e1d894ca3f41fa5a0a5fecffffa3f7a4", "1ed1a49534ad8dd00f81939449f6389cfbc25321", "a2cc3193ed56ef4cedaaf4402c844df28edb5639", "77351eaeb65e374a4d1e54acc28fea426670e364", "ca2cd1781eb06c42f7b9a0f4955a05416ccddfd9", "16e8d439fbcf8311efea7b0baeb1a5340272b396", "71969ee27916d545c63fe852946dd6dcc015d1a8", "97a9aaf99400de88504ef40cee3057f7c718261b", "46d728356b5090bc28461b30cb21a08c3a690195", "878dce67a005a4d70f14a04230556b785e77532f", "49e2c1bae80e6b75233348102dc44671ee52b548", "6c8b770ceda34be2ef294e8e2271f94e8a58672e", "fbd17af24e86fe487e28f99ba3e402dd6cfcd16a", "604d7533bdcfb06f4ae217a2cd9fd2e1467192f8", "30ea6c4991ceabc8d197ccff3e45fb0a00a3f6c5", "5a05e438b60e728b862af1a4022131549b7390a3", "52e0c03dd661d032865dfedd91ca49542ccfc2a3", "477ca04e9c6b9fd8326af7e11c6d60b6ada2f42a", "8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a", "e483482e19b022a1cd7081dc2757bb8a85774ed7", "942bb63e78d9edfe3b8d0a4bf9a3511c736a6930", "6f9c01a9b861882c6676227942005cef13f3cb29", "55af4918d6b20d13c58c482d7e31e17db53c6ab5", "1d39c1e39d712d2449de59beae76521f4e04b2bd", "c0c311c985fcfb309066d0d475ca862b2a19363e", "1d2af64416882b2ae8fe4de51b85fdd7d561cfee", "b07546f26a99b61c5045e313bc024b0fe7de590a", "448efcae3b97aa7c01b15c6bc913d4fbb275f644", "4da2c15f320ee2f719785c44ca2427fef04a0948", "10ffdfdbc0aafb89d94528f359425de0c7a81986", "ddef0c93cd9f604e5905b81dc56818a477f171e2", "510d5f8e610ae962ef35501e9c5f310d83dc7b70", "83272537fc29345d32f68a8ab37e4170df10d3bb", "899fdcc44212ffacd91b80bb9ca460b807096283", "f254cbfe9710de5e41589f8b7898112b06872ed2", "5fc662287842e5cb2d23b5fa917354e957c573bf", "7118f2607052e9a8647c1ac60c0a00cb5bc79b31", "22d7f08af8851b89240a17afbdac24e9d9dc33eb", "3a307b7e2e742dd71b6d1ca7fde7454f9ebd2811", "0cc3e74bf371635ed1fe94ef99d82b4ccc9703ad", "a6c49f98df934c45cfd948e7f68544b00fbbfa02"] \ No newline at end of file diff --git a/scraper/reports/doi_domains.html b/scraper/reports/doi_domains.html index 44b75bc8..634a27ae 100644 --- a/scraper/reports/doi_domains.html +++ b/scraper/reports/doi_domains.html @@ -1 +1 @@ -DOI Domains

DOI Domains

ieeexplore.ieee.org12126
link.springer.com1641
dl.acm.org1493
linkinghub.elsevier.com833
www.computer.org825
www.ncbi.nlm.nih.gov172
www.sciencedirect.com140
www.worldscientific.com54
www.spiedigitallibrary.org44
www.nature.com37
www.scitepress.org25
www.crossref.org24
onlinelibrary.wiley.com23
www.mitpressjournals.org20
mr.crossref.org17
www.inderscience.com16
arxiv.org11
jivp-eurasipjournals.springeropen.com9
www.isca-speech.org8
www.tandfonline.com8
www.hindawi.com6
jneurodevdisorders.biomedcentral.com6
www.emeraldinsight.com5
content.iospress.com:4434
academic.oup.com4
www.intechopen.com4
infoscience.epfl.ch3
www.bmva.org3
www.base-search.net3
epubs.siam.org3
bmcbioinformatics.biomedcentral.com3
journals.sagepub.com2
tel.archives-ouvertes.fr2
portal.dnb.de2
ethos.bl.uk2
journalofbigdata.springeropen.com2
www.jstage.jst.go.jp2
aclanthology.info2
ora.ox.ac.uk2
autosoftjournal.net2
ipsjcva.springeropen.com2
journal-bcs.springeropen.com2
www.informatica.si2
www.matec-conferences.org1
dpi-proceedings.com1
digital-library.theiet.org1
www.usenix.org1
jphysiolanthropol.biomedcentral.com1
www.liebertpub.com1
spiral.imperial.ac.uk:84431
annals-csis.org1
www.research-collection.ethz.ch1
www.int-arch-photogramm-remote-sens-spatial-inf-sci.net1
bmcgenomics.biomedcentral.com1
ecommons.udayton.edu1
eprints.soton.ac.uk1
www.teses.usp.br1
www.aast.edu1
ir.library.louisville.edu1
www.mecs-press.org1
jes-eurasipjournals.springeropen.com1
www.lrec-conf.org1
www.ijeee.net1
asp-eurasipjournals.springeropen.com1
www.aaai.org1
journals.tubitak.gov.tr1
cit.fer.hr1
www.morganclaypool.com1
koreascience.or.kr1
www.degruyter.com1
www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net1
www.mdpi.com1
bmcneurosci.biomedcentral.com1
www.repository.cam.ac.uk1
ro.uow.edu.au1
www.research.lancs.ac.uk1
www.ijcai.org1
hcis-journal.springeropen.com1
digitalcommons.unl.edu1
www.atlantis-press.com1
\ No newline at end of file +DOI Domains

DOI Domains

ieeexplore.ieee.org12143
link.springer.com1641
dl.acm.org1493
linkinghub.elsevier.com833
www.computer.org825
www.ncbi.nlm.nih.gov172
www.sciencedirect.com140
www.worldscientific.com54
www.spiedigitallibrary.org44
www.nature.com37
www.scitepress.org25
www.crossref.org24
onlinelibrary.wiley.com23
www.mitpressjournals.org20
mr.crossref.org17
www.inderscience.com16
arxiv.org11
jivp-eurasipjournals.springeropen.com9
www.isca-speech.org8
www.tandfonline.com8
www.hindawi.com6
jneurodevdisorders.biomedcentral.com6
www.emeraldinsight.com5
content.iospress.com:4434
academic.oup.com4
www.intechopen.com4
infoscience.epfl.ch3
www.bmva.org3
www.base-search.net3
epubs.siam.org3
bmcbioinformatics.biomedcentral.com3
journals.sagepub.com2
tel.archives-ouvertes.fr2
portal.dnb.de2
ethos.bl.uk2
journalofbigdata.springeropen.com2
www.jstage.jst.go.jp2
aclanthology.info2
ora.ox.ac.uk2
autosoftjournal.net2
ipsjcva.springeropen.com2
journal-bcs.springeropen.com2
www.informatica.si2
www.matec-conferences.org1
dpi-proceedings.com1
digital-library.theiet.org1
www.usenix.org1
jphysiolanthropol.biomedcentral.com1
www.liebertpub.com1
spiral.imperial.ac.uk:84431
annals-csis.org1
www.research-collection.ethz.ch1
www.int-arch-photogramm-remote-sens-spatial-inf-sci.net1
bmcgenomics.biomedcentral.com1
ecommons.udayton.edu1
eprints.soton.ac.uk1
www.teses.usp.br1
www.aast.edu1
ir.library.louisville.edu1
www.mecs-press.org1
jes-eurasipjournals.springeropen.com1
www.lrec-conf.org1
www.ijeee.net1
asp-eurasipjournals.springeropen.com1
www.aaai.org1
journals.tubitak.gov.tr1
cit.fer.hr1
www.morganclaypool.com1
koreascience.or.kr1
www.degruyter.com1
www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net1
www.mdpi.com1
bmcneurosci.biomedcentral.com1
www.repository.cam.ac.uk1
ro.uow.edu.au1
www.research.lancs.ac.uk1
www.ijcai.org1
hcis-journal.springeropen.com1
digitalcommons.unl.edu1
www.atlantis-press.com1
\ No newline at end of file diff --git a/scraper/reports/doi_institutions.html b/scraper/reports/doi_institutions.html index 22187553..ae6c6c8b 100644 --- a/scraper/reports/doi_institutions.html +++ b/scraper/reports/doi_institutions.html @@ -1,4 +1,4 @@ -Institutions from IEEE

Institutions from IEEE

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore103
National University of Singapore, Singapore, Singapore95
Department of Electrical and Computer Engineering, National University of Singapore, Singapore78
Tsinghua University, Beijing, China66
School of Computer Engineering, Nanyang Technological University, Singapore63
Institute of Automation, Chinese Academy of Sciences, Beijing, China61
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China58
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece58
University of Electronic Science and Technology of China, Chengdu, China55
Peking University, Beijing, China50
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China48
Beijing University of Posts and Telecommunications, Beijing, China47
University of Science and Technology of China, Hefei, China47
Department of Automation, Tsinghua University, Beijing, China46
Shanghai Jiao Tong University, Shanghai, China44
University of Chinese Academy of Sciences, Beijing, China44
University of Maryland, College Park, MD, USA44
Microsoft Research Asia, Beijing, China43
Nanyang Technological University, Singapore42
Nanyang Technological University, Singapore, Singapore41
IIIT-Delhi, India40
Institute of Information Science, Beijing Jiaotong University, 100044, China39
Carnegie Mellon University, Pittsburgh, PA, USA39
Zhejiang University, Hangzhou, China39
Department of Electronic Engineering, Tsinghua University, Beijing, China38
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China37
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China36
National University of Singapore, Singapore36
Fudan University, Shanghai, China36
Chinese Academy of Sciences, Beijing, China35
College of Computer Science and Technology, Zhejiang University, Hangzhou, China35
Tianjin University, Tianjin, China34
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China34
Beihang University, Beijing, China33
Advanced Digital Sciences Center, Singapore32
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China31
IIIT Delhi, India30
National Taiwan University, Taipei, Taiwan Roc30
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China30
National Institute of Informatics, Tokyo, Japan30
Harbin Institute of Technology, Harbin, China29
Hefei University of Technology, Hefei, China29
School of Computing, National University of Singapore, Singapore28
School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China28
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China28
Department of Information Engineering and Computer Science, University of Trento, Trento, Italy28
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China27
Institute of Information Science, Beijing Jiaotong University, Beijing, China26
College of Computer Science, Zhejiang University, Hangzhou, China26
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China26
Microsoft Research, Beijing, China25
Institute of Microelectronics, Tsinghua University, Beijing, China24
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore24
Idiap Research Institute, Martigny, Switzerland24
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China24
Institute for Infocomm Research, Singapore23
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China23
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA23
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, China23
School of Automation, Southeast University, Nanjing 210096, China22
Northeastern University, Boston, MA, USA22
The University of Tokyo, Tokyo, Japan22
School of Control Science and Engineering, Shandong University, Jinan, China22
Wuhan University, Wuhan, China22
The University of Queensland, Brisbane, Australia22
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences22
School of Computer Science and Technology, Tianjin University, Tianjin, China22
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China22
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China21
Department of Computing, The Hong Kong Polytechnic University, Hong Kong21
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China21
Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China21
Department of Computing, Imperial College London, London, U.K.21
University of Southern California, Los Angeles, CA21
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan21
University of Texas at Arlington, Arlington, TX, USA21
School of Computer and Information, Hefei University of Technology, Hefei, China20
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China20
South China University of Technology, Guangzhou, China20
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China20
Beijing Jiaotong University, Beijing, China20
Sun Yat-sen University, Guangzhou, China20
Universität Hamburg, Hamburg, Germany19
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China19
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China19
Computer Science Department, Technical University of Cluj-Napoca, Romania19
Department of Computer and Information Science, University of Macau, Macau, China19
School of Computer Science and Engineering, Nanyang Technological University, Singapore19
University of Trento, Trento, Italy19
School of Automation, Southeast University, Nanjing, China19
Department of Automation, Shanghai Jiao Tong University, Shanghai, China19
Department of Computer Science, City University of Hong Kong, Hong Kong18
Osaka University, Japan18
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran18
University of Maryland, College Park18
Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan18
Faculty of Science and Technology, University of Macau, Macau, China18
School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China18
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea18
University of Trento, Italy18
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China18
Carnegie Mellon University, USA18
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China18
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea18
College of Command Information Systems, PLA University of Science and Technology, Nanjing, China17
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China17
School of Computer Science and Engineering, Nanjing University of Science and Technology, China17
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA17
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China17
University of Southern California, Los Angeles, CA, USA17
School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China17
School of Computer Science and Technology, Harbin Institute of Technology, China17
Ulm University, Ulm, Germany17
Singapore Management University, Singapore, Singapore17
The University of Tokyo17
Beijing University of Posts and Telecommunications, Beijing, 100876, China16
School of Software, Tsinghua University, Beijing, China16
Nanjing University, Nanjing, China16
National Taiwan University16
Institute of Automation, Chinese Academy of Sciences, China16
School of Information and Electronics, Beijing Institute of Technology, Beijing, China16
School of Electronic and Information Engineering, Beihang University, Beijing, China16
School of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, South Korea16
College of Computer Science, Sichuan University, Chengdu, China16
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China16
Southeast University, Nanjing, China16
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL USA16
Carnegie Mellon University16
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China15
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, 430072, China15
IIIT Delhi15
University of Minnesota, Minneapolis, MN, USA15
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China15
University of Texas at San Antonio, San Antonio, TX, USA15
University of Science and Technology of China15
Xi'an Jiaotong University, Xi'an, China15
National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China15
Academia Sinica, Taipei, Taiwan Roc15
Institute of Computer Science and Technology, Peking University, Beijing, China15
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China15
School of Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, Korea15
Department of Automation, University of Science and Technology of China, Hefei, China15
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China15
University of Science and Technology of China, Hefei, Anhui, China15
Georgia Institute of Technology15
Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore15
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China15
Microsoft Research, Redmond, WA, USA15
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
University of California, Irvine15
International Computer Science Institute, Berkeley, CA, USA15
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA15
Federal University of Technology - Parana, Curitiba, PR 80.230-901 Brazil14
Department of Automation, University of Science and Technology of China14
School of Computing and Information Sciences, Florida International University, Miami, FL14
State Key Laboratory of Software Engineering, Wuhan University, China14
Stanford University14
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, China14
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA14
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China14
Center for Research on Intelligent Perception and Computing, CASIA14
College of Computer Science, Chongqing University, Chongqing, China14
Department of Computer Science, New Jersey Institute of Technology14
Beijing University of Posts and Telecommunications, China14
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China14
School of Electronic Information Engineering, Tianjin University, Tianjin, China14
Graduate School of Engineering, Tottori University, Japan14
Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland14
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong14
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China14
Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates14
Division of System Integration and IC Design, Institute of Nano-tech and Nano-bionics, CAS, Suzhou, China14
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China14
CRIPAC & NLPR, CASIA14
University of Tokyo, Tokyo, Japan14
Department of Computer Science, Hong Kong Baptist University, Hong Kong14
Beijing Normal University, China13
TÜBİTAK Uzay Teknolojileri Araştirma Enstitüsü, Turkey13
Peking University, Shenzhen, China13
College of Computer, National University of Defense Technology, Changsha, China13
Academia Sinica, Taipei, Taiwan13
DIA, University of Trieste, Italy13
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX, USA13
Northwestern Polytechnical University, Shaanxi, China13
University of Oslo13
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China13
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China13
Hasso Plattner Institute, Potsdam, Germany13
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China13
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA13
Dipartimento di Informatica, University of Verona, Italy13
Beijing University of Posts and Telecommunications13
Delft University of Technology, Delft, Netherlands13
Tongji University, Shanghai, China13
Dalian University of Technology13
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China13
School of Computer Science and Engineering, Nanjing University of Science and Technology13
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China13
Center for Machine Vision and Signal Analysis, University of Oulu, Finland13
Department of Telecommunication Engineering, Beijing Information Science and Technology University, China13
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China12
Lincoln Centre for Autonomous Systems (L-CAS), School of Computer Science, University of Lincoln, United Kingdom12
Computer Science & Technology, Zhejiang Normal University, China12
Queensland University of Technology, Australia12
Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong12
West Virginia University12
The University of Tokyo, Japan12
School of Software Engineering, South China University of Technology, Guangzhou, China12
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong12
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece12
Microsoft Research Asia12
Centre for Vision, Speech and Signal Processing, University of Surrey, UK12
School of Computing, University of Portsmouth, UK12
Department of Computer Science and Information Engineering, National Central University, Taiwan12
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China12
Dept. of Computer Science, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA12
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China12
CAS Center for Excellence in Brain Science and Intelligence Technology; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China12
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye12
Arizona State University, Tempe, AZ, USA12
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France12
National Engineering Research Center for Multimedia Software, Wuhan University, China12
Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA12
Department of Computer Science and Technology, Tsinghua University, Beijing, China12
University of Illinois at Urbana-Champaign12
Huazhong University of Science and Technology, Wuhan, China12
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China12
Department of Computer Science, Università degli Studi di Milano, Italy12
School of Computer Science, Fudan University, Shanghai, China12
Imperial College London, UK12
School of Automation, Northwestern Polytechnical University, Xi’an, China12
Department of Information Engineering, University of Florence, Florence, Italy12
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China12
Beijing University of Posts and Telecommunications, Beijing 100876, China12
University of California, San Diego12
Singapore-MIT Alliance for Research and Technology, Singapore11
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, 430072, China11
National Taiwan University, Taipei, Taiwan11
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, Korea11
Computer Science and Engineering Department, University of South Carolina, United States of America11
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China11
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, ROC11
da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany11
Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK11
Department of Computer Science and Engineering, University of Notre Dame, USA11
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA11
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany11
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China11
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China11
School of Computer, Wuhan University, Wuhan, China11
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Portugal11
Visual Computing Group, Microsoft Research, Beijing, China11
Shanghai Jiao Tong University11
Massachusetts Institute of Technology11
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Department of Computer Science, TU Darmstadt11
Indian Institute of Science, Bangalore, India11
School of Electronic Engineering, Xidian University, Xi'an, China11
The Chinese University of Hong Kong11
Institute of Automation Chinese Academy of Sciences, Beijing, China11
Anhui University, Hefei, China11
Columbia University, New York, NY, USA11
The University of Melbourne11
National University of Defense Technology, China11
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia11
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China11
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China11
Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia11
Institute of Automation, Chinese Academy of Sciences11
International Institute of Information Technology, Hyderabad, India11
Northwestern Polytechnical University, Xi'an, China11
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong11
Sun Yat-Sen University, Guangzhou, China11
Max Planck Institute for Informatics, Saarbrücken, Germany11
Department of Computer Science and Engineering, Jadavpur University, Kolkata, India11
University of Amsterdam, Amsterdam, Netherlands11
CNRS-LTCI, Télécom ParisTech, Paris, France10
Lancaster University, UK10
University of Canberra, Canberra, Australia10
Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan10
Intel Labs, China10
Department of Information Engineering and Computer Science, University of Trento, Italy10
Center for Automation Research, University of Maryland, College Park, MD 2074210
Department of Computing, Imperial College London, London, United Kingdom10
CVIP Laboratory, University of Louisville, KY, USA10
Department of Informatics, Aristotle University of Thessaloniki, Greece10
Human Language Technology Center of Excellence, The Johns Hopkins University, Baltimore, MD, 21218, USA10
Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA10
Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil10
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA10
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China10
Australian National University, Canberra, Australia10
Chinese Academy of Sciences10
University of Udine, Udine, Italy10
School of Electronic Engineering, Xidian University, Xi’an, China10
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
National Taiwan Unversity, Taipei, Taiwan Roc10
National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China10
Google Research, Zurich, Switzerland10
National Institute of Advanced Industrial Science and Technology10
EURECOM, Sophia Antipolis, France10
College of Information Engineering, Yangzhou University, Yangzhou, China10
The University of Nottingham10
Beijing University of Technology, Beijing, China10
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France10
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan10
School of Software, Dalian University of Technology, Dalian, China10
Xiamen University, Xiamen, China10
Thales Services, ThereSIS, Palaiseau, France10
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia10
Chinese Academy of Sciences, Institute of Automation, Beijing, China10
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, R.O.C.10
School of Software Engineering, Tongji University, Shanghai, China10
Institute of Information Science, Beijing Jiaotong University, China10
MPI Informatik10
University of Illinois at Urbana-Champaign, Urbana10
State University of New York at Binghamton, USA10
Institute of Systems and Robotics, University of Coimbra, Portugal10
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA10
Renmin University of China, Beijing, China10
Shanghai Jiao Tong University, China10
Nagoya Institute of Technology, Japan10
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China10
University of Florence10
University of California, Berkeley, Berkeley, CA, USA10
Department of Electronic Engineering, Shanghai Jiao Tong University, China10
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, U.K.10
Illinois Institute of Technology10
Indraprastha Institute of Information Technology Delhi, New Delhi, India10
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK10
Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain10
Cornell University10
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China10
Carnegie Mellon University, ForbesAvenue, Pittsburgh PA10
Kyushu University, Fukuoka, Japan10
Université de Toulouse, CNRS, Toulouse, France10
CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China10
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang Province, China10
University of Technology Sydney, Sydney, Australia10
Nanjing University of Science and Technology, Nanjing, China10
University of Surrey, Guildford10
University of Amsterdam, Amsterdam, The Netherlands10
School of Computer Engineering, Nanyang Technological University, Singapore, Singapore10
Communication and Information Security Lab, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University10
Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China10
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan10
UMIACS, University of Maryland at College Park, College Park, MD, USA10
School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China10
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China10
Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran10
Queen Mary University of London, London, United Kingdom10
School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing, Soochow University, Suzhou, China10
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China10
State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China10
Department of Computer Science, State University of New York at Binghamton9
University of Udine, Italy9
Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)9
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA9
Princeton University9
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047, JAPAN9
Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China9
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, P. R. China9
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China9
University of Notre Dame, Notre Dame, IN, USA9
ISTI-CNR, Pisa, Italy9
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 1175769
Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China9
Robotics and Microsystems Center, Soochow University, Suzhou, China9
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France9
School of Information Engineering, Yangzhou University, Yangzhou, China9
School of Information and Communication, Guilin University of Electronic Technology Guangxi Guilin, China9
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China9
Key Lab of Machine Perception (MOE), Peking University, Beijing, China9
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA9
Dept. of Computer Science and Information Engineering, National Central University, Jhongli, Taiwan9
Carnegie Mellon University, Pittsburgh, USA9
School of Information Science and Engineering, Central South University, Changsha, China9
Department of Information Science and Engineering, Ritsumeikan University, Shiga, Japan9
Beijing Normal University, Beijing, China9
National University of Ireland Galway, Galway, Ireland9
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China9
UC Berkeley9
Department of Computer Engineering, Kyung Hee University, South Korea9
University of Rochester, Rochester, NY, USA9
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain9
Department of Information Engineering, Media Integration and Communication Center (MICC), University of Florence, Italy9
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland9
Centre of Visual Computing, Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Selangor, Malaysia9
School of Computer Engineering and Science, Shanghai University, Shanghai, China9
Intel China Research Center, Beijing, China9
Centre for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia9
Department of Electric and Electronic Engineering, Yonsei University, Seoul, 120-749, Republic of Korea9
Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China9
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA9
Department of Computer Science, University of Rochester, Rochester, NY, USA9
School of Electronics and Information Technology, Sun Yat-sen University, China9
School of Computer Science and Software Engineering, University of Wollongong, Australia9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 6397989
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China9
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan9
School of Software Engineering, Chongqing University, Chongqing, China9
INRIA Rhône-Alpes, Grenoble, France9
University of Texas at San Antonio, San Antonio, USA9
Microsoft Research9
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia9
Dalian University of Technology, China9
ETH Zurich, Switzerland9
Institute of Computing, University of Campinas, Campinas, Brazil9
Université Picardie Jules-Vernes, 80000 Amiens, France9
Brno University of Technology9
Dublin City University, Dublin, Ireland9
Department of Computer and Information Science, University of Konstanz, Germany9
School of Automation, Guangdong University of Technology, Guangzhou, China9
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China9
Department of Electronic Engineering, The Chinese University of Hong Kong, China9
College of Computer Science and Technology, Jilin University, Changchun, China9
Queen Mary University of London, UK9
North Carolina Agricultural and Technical State University, Greensboro, NC9
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom9
Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea9
Indian Institute of Information Technology, Allahabad, India9
Department of CSIE, Hefei University of Technology, Hefei, China9
National Taiwan University of Science and Technology, Taipei, Taiwan9
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China9
East China Normal University, Shanghai, China9
The Pennsylvania State University, University Park, PA, USA9
School of Computer Science and Engineering, Beihang University, Beijing, China9
Fondazione Bruno Kessler, Trento, Italy9
Noblis, Falls Church, VA, U.S.A.9
Google Inc., Mountain View, CA, USA9
Graduate School at Shenzhen, Tsinghua University, Shenzhen, China9
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy8
P.G. Demidov Yaroslavl State University, Yaroslavl, Russia8
University of Illinois at Urbana-Champaign, Urbana, IL, USA8
Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA8
University of Houston8
Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy8
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia8
School of Communication and Information Engineering, Shanghai University, 200444, China8
Beijing, Haidian, China8
School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore8
The Pennsylvania State University, USA8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
Google, Inc., Mountain View, CA, USA8
School of Electronics and Information, Northwestern Polytechnical University8
Sun Yat-sen University, School of Data and Computer Science, GuangZhou, China8
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China8
NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China8
Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China8
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China8
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia8
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands8
Université Paris-Sud, 91405, Orsay, FRANCE8
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China8
Singapore University of Technology and Design, Singapore, Singapore8
School of Computer Science & Technology, Harbin Institute of Technology8
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Information Technologies Institute, CERTH, Thessaloniki, Greece8
Keio University, Japan8
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China8
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China8
Center for Machine Vision Research, University of Oulu, Finland8
CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France8
L3S Research Center, Leibniz Universität Hannover, Germany8
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 6117318
Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain8
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R., 710049, China8
School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA8
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Institute of Signal Processing and System Theory, University of Stuttgart, Germany8
Department of Electrical Engineering, University of Washington, Seattle, WA, USA8
Universidad Autonoma de Madrid8
University of Notre Dame8
CERTH-ITI, Thessaloniki, Greece8
Renmin University of China, China8
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan8
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University8
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, 200240, China8
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK8
Indraprastha Institute of Information Technology (IIIT), Delhi, India8
Samsung R&D Institute, China8
Capital Normal University, Beijing, China8
School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China8
Singapore University of Technology and Design, Singapore8
University of Amsterdam, The Netherlands8
School of Information Science and Engineering, Shandong University, Jinan, China8
Soochow University, Suzhou, China8
Microsoft, Redmond, WA, USA8
Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China8
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea8
Center for Research in Intelligent Systems, University of California, Riverside, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China8
School of Communication & Information Engineering, Shanghai University, China8
Michigan State University, USA8
South China University of Technology, Guangzhou, 510641, China8
Institute of Computer, Hangzhou Dianzi University, China8
Beijing University of Posts and Telecommunications, Beijing, China, 1008768
School of Information Science and Engineering, Lanzhou University, Lanzhou, China8
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University8
School of Information Science and Engineering, Xiamen University, Xiamen, China8
College of Computer Science, Sichuan University, China8
Computer Vision Center, UAB, Barcelona, Spain8
University of Illinois at Urbana-Champaign, Champaign, IL, USA8
Osaka University, Osaka, Japan8
University of Surrey, Guildford, UK8
Institute of Computer Science and Technology, Peking University, Beijing, P.R. China, 1008718
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Genova - Italy8
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Türkiye8
Université de Lyon, CNRS, France8
Institute for Infocomm Research, A*STAR, Singapore, Singapore8
Key Laboratory of Intelligent Computation & Signal Processing, Ministry of Education, Anhui University, Hefei, China8
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China8
School of Computer Science, Communication University of China, Beijing, China8
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China8
Queen Mary University of London, London, U.K.8
University of Maryland, College Park, USA8
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, SC 29634 USA8
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, China8
Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China8
Electronics and Telecommunications Research Institute, Daejeon, Korea8
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China8
Center for Computer Vision and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China8
School of Information and Communication Engineering, Dalian University of Technology, China8
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, USA8
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China8
National Taiwan University of Science and Technology, Taipei, Taiwan Roc8
Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia8
INRIA, France8
Multiphase Flow Research Center, Federal University of Technology–Paraná, Curitiba, Brazil8
Aristotle University of Thessaloniki, Department of Informatics, Box 451, 54124 Thessaloniki, Greece8
Institute of Electrical Control Engineering, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan8
Duke University, Durham, NC, USA8
Signal & Information Processing Laboratory, Beijing University of Technology, Beijing, China8
Center for Biometrics and Security Research and the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
Sarnoff Corporation, Princeton, NJ, USA8
Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China8
University of Sassari, Italy8
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh8
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh8
Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea8
Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386328
Delft University of Technology, Delft, The Netherlands8
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland8
College of Information Science and Engineering, Hunan University, Changsha, China8
Department of Computer Science, National Tsing Hua University, Taiwan8
School of Information Engineering, Nanchang University, Nanchang, China8
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA8
Masaryk University, Brno, Czech Republic8
School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK8
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China8
Dalian University of Technology, Dalian, China8
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea8
State Key Laboratory for Novel Software Technology, Nanjing University, China8
School of Computer Science and Technology, Shandong University, Jinan, China8
Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School, China8
KTH Royal Institute of Technology, Stockholm, Sweden8
Zhejiang University, HIKVISION8
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan8
Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom8
Queen Mary University of London8
Hangzhou Dianzi University, Hangzhou, China8
Google Inc., USA8
Southeast University, China8
Fraunhofer IOSB, Ettlingen, Germany8
Robotics Institute, Carnegie Mellon University, USA8
University of Washington, Seattle, WA, USA8
Robert Bosch GmbH, Hildesheim, Germany8
Mitsubishi Electric Research Laboratories, Cambridge, MA, USA8
Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China8
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology7
UC Berkeley and Max-Plank-Institute for Informatics, Germany7
Departamento de Informática, Universidade Federal do Espírito Santo, Vitória, Brazil7
University of Tampere, Tampere, Finland7
School of Automation Science and Engineering, South China University of Technology, Guangzhou, 510641, China7
CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy7
DGIST, Daegu, Republic of Korea7
Computer Science Department, University of Buenos Aires, Argentina7
North Carolina Agricultural and Technical State University, NC7
Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China7
Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, USA7
Barcelona Supercomputing Center, Spain7
Gwangju Institute of Science and Technology7
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China7
Institute of Engineering & Management, Kolkata7
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA7
Department of Computer Science, Jiangnan University, No. 1800 LiHu Avenue, WuXi, China7
University of Missouri-Columbia, USA7
UC Berkeley, Berkeley, CA, USA7
GRASP Laboratory, Department of Computer Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA USA7
Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA7
School of Electrical Engineering and Computer Science, Pennsylvania State University, PA USA7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
Technische Universität Darmstadt, Darmstadt, Germany7
Autonomous Systems Lab, ETH Zürich, Switzerland7
Universitas Indonesia, Depok, Indonesia7
Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand7
Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy7
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China7
Department of Computer and Information Science, University of Macau, China7
School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China7
Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany7
Advanced Computer Architecture Laboratory, University of Michigan, Ann Arbor, MI 481097
University of Geneva, Geneva7
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece7
Haikou Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Haikou, China7
Center for Automation Research, UMIACS, University of Maryland, College Park, 20740, United States of America7
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France7
Waseda University, Tokyo, Japan7
SenseTime Research7
Signal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia7
School of Information and Software Engineering, University of Electronic Science and Technology of China, Country Chengdu, 610054, China P.R.C7
Northwestern University7
Intelligent Systems Research Laboratory, University of Reading, United Kingdom7
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Purdue University, USA7
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China7
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China7
Graduate School of System Informatics, Kobe University, Kobe, 657-8501 Japan7
Digital Performance and Simulation Key Laboratory, School of Software, Beijing Institute of Technology, Beijing 100081, China7
Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK7
NAIST7
Computer Laboratory, University of Cambridge, UK7
Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC7
Beihang University7
Tsinghua University7
Duke University7
Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China7
Stanford University, Stanford, CA, USA7
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India7
College of Information Engineering, Capital Normal University, Beijing, China7
Signal & Information Processing Lab, Beijing University of Technology, Beijing, China7
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan7
University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany7
Department of Computer Science, Rutgers University, Piscataway, NJ, USA7
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China7
Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye7
Samsung Advanced Institute of Technology, Korea7
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China7
Massachusetts Institute of Technology, Cambridge, MA, USA7
Klagenfurt University, Klagenfurt, Austria7
CVIP Lab, University of Louisville, Louisville, KY, USA7
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100190, China7
College of Computer Science, Zhejiang University of Technology, Hangzhou, China7
CyLab Biometrics Center and the Department of Electrical and Computer Engineering (ECE), Carnegie Mellon University, Pittsburgh, USA7
School of Mathematics and Statistics, Xidian University, Xi’an, China7
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia7
Center for Future Media, University of Electronic Science and Technology of China, Chengdu, China7
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China7
Graduate School of Electrical Engineering, University of Ulsan, Korea7
Department of Computing, Curtin University, Australia7
Indraprastha Institute of Information Technology Delhi, Delhi, India7
Northwestern Polytechnical University, Xi’an, China7
Princeton University, Princeton, NJ, USA7
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China7
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China7
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China7
Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany7
Robotics Institute, Carnegie Mellon University, Pittsburgh, USA7
Tencent AI Laboratory, Shenzhen, China7
Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea7
University of Michigan, Ann Arbor, MI, USA7
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, China7
College of Information Science and Technology, Beijing Normal University, Beijing, China7
Kyushu Institute of Technology, Iizuka, Japan7
Chonnam National University, Gwangju, South Korea7
Graduate School of Electrical Engineering, University of Ulsan, Korea 680-7497
School of Electronics and Computer Science, University of Southampton, Southampton, U.K.7
University of Pittsburgh, Pittsburgh, PA, USA7
Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA7
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj-Napoca, Romania7
Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA7
Department of Computer Science and Engineering, University of Notre Dame, IN 46556, USA7
Aalborg University, Aalborg, Denmark7
Stony Brook University, Stony Brook University, NY 11794, USA7
Columbia University7
Dept. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan7
Machine Vision Group, University of Oulu, Finland7
School of ITEE, The University of Queensland, Australia7
Computer Vision Laboratory, ETH Zurich, Switzerland7
University of Ljubljana, Slovenia7
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China7
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China7
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China7
School of Information Science and Technology, Xiamen University, Xiamen, China7
Computational Biomedicine Lab, University of Houston, TX, USA7
Università degli Studi di Firenze, Firenze, Italy7
Institute of Neural Information Processing, Ulm University, Ulm, Germany7
University of South Florida, Tampa, FL, USA7
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia7
Queen Mary University of London, London7
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China7
School of Computer Science, Sichuan University, Chengdu, China7
School of Information Engineering, Zhengzhou University, Zhengzhou, China7
Clemson University, Clemson, SC7
SENSE VIT University Vellore, India7
Guangdong University of Technology, Guangzhou, China7
Department of Signal Processing, Tampere University of Technology, Finland7
School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China7
College of Information Engineering, Communication University of China, Beijing, China7
University of California, Berkeley7
University of Chinese Academy of Sciences, China7
MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 024207
Faculty of Information Technology, Beijing University of Technology, Beijing, China7
Dept. of Comput., Hong Kong Polytech. Univ., China7
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway7
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
School of Software, Huazhong University of Science and Technology, Wuhan, China7
Department of MathematicsIntelligent Data Center, Sun Yat-sen University, Guangzhou, China7
Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China7
Grad. School of Information Science and Technology, The University of Tokyo, Japan7
Indiana University Bloomington, Bloomington, IN, USA7
University of Toronto, Toronto, Canada7
Agency for Defense Development, Korea7
Virginia Tech7
State Key Laboratory of Management and Control for Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China7
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China7
Guangxi University, Nanning, China7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China7
The Hong Kong Polytechnic University, Hong Kong, China7
University of Southern California7
School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China7
Image Processing Center, Beihang University, Beijing, China7
University of Tsukuba, Tsukuba, Japan7
School of EEE, Nanyang Technological University, Singapore7
Centre for Research & Technology-Hellas, Thessaloniki, Greece7
Department of Information Engineering, University of Brescia, Italy7
LAAS-CNRS, Toulouse, France7
College of Electrical and Information Engineering, Hunan University, Changsha, China7
College of Computer Science and Technology, Huaqiao University, Xiamen, China7
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China7
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China7
Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA7
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China7
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China7
Faculty of Information Technology, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia7
The Chinese University of Hong Kong, Hong Kong7
University of Catania, Catania, Italy7
College of Electrical Engineering and Automation, Anhui University, Hefei, China7
National Taiwan University of Science and Technology7
The University of Sheffield, Sheffield, UK7
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, China7
University of California7
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China7
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA7
Zhejiang University of Technology, Hangzhou, China7
University of Ottawa, Ottawa, ON, Canada7
Institute of Computing Technology, CAS, Beijing, China7
TCS Innovation Labs, Bangalore, India6
Institute of Technology, University of Ontario, Oshawa, ON, Canada6
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
PLA University of Science and Technology (PLAUST), Nanjing, China6
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia6
Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece6
Dept. of Computer Science, University of California, Irvine6
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa6
Indian Institute of Technology (BHU) Varanasi, India6
Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh6
The University of Western Australia6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil6
School of Computer Science, Centre for Intelligent Machines, McGill University, Montréal, Canada6
Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China6
College of Information&Engineering, Nanchang University, Nanchang, China6
Dept. of Comput. Sci., Houston Univ., TX, USA6
SRI International Sarnoff Princeton, NJ 085406
Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil6
LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France6
Computational Biomedicine Lab, Dept. of Computer Science, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USA6
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China6
Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, U.S.A.6
Department of Computing, Imperial College London, South Kensington Campus, London, United Kingdom6
Research School of Engineering, Australian National University, Canberra, ACT, Australia6
Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon,Republic of Korea6
University of Alicante, Alicante, Spain6
Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Republic of Korea 151-7426
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany6
University of Macau, Macau, China6
IBM Research - Haifa, Israel6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
École de technologie superieure6
Department of Mathematics, School of Science, Shanghai University, Shanghai, China6
Visual Analysis of People (VAP) Laboratory, Rendsburggade 14, Aalborg University, 9000 Denmark6
State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China6
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic6
Gdańsk University of Technology, Poland6
State Key Laboratory of ASIC and System, Fudan University, Shanghai, China6
Beijing, China6
Department of Computer Science and Technology, Ocean University of China, 238 Songling Road, Qingdao, China 2661006
Autonomous Systems Lab, ETH Zürich, Switzerland6
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China6
GIPSA-Lab, Grenoble, France6
Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China6
College of Electronic and Control Engineering, Beijing University of Technology, 100124, China6
Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia6
Key Laboratory of Machine Perception Shenzhen Graduate School, Peking University, China6
Department of Informatics, Knowledge Technology, University of Hamburg, Germany6
Dept. of Electrical Engineering and Comp. Sc., Northwestern University, Evanston, IL 60208, USA6
Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand6
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA6
Department of Computer Science, University of York, UK6
Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy6
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China6
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi6
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal6
Department of Computer Science and Technology, Tsinghua University, China6
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China6
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan6
Department of Electrical and Computer Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA6
Ministry of Education, School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, China Guangdong Key Laboratory of Information Security Technology, Guangzhou, 510275, China6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China6
DISI - University of Trento Via Sommarive, 5-38123 Trento - Italy6
Department of Information Science & Electronic Engineering, Zhejiang University, No.38, Zheda Road, Hangzhou 310027, P. R. China6
School of Information Science and Technology, Dalian Maritime University, Dalian, China6
Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16/II, 8010, Austria6
University of Toronto, Canada6
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, P. R. China6
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong6
Department of Computer Science and Technology, Harbin Institute of Technology University, 518055 Shenzhen, China6
Department of Information Engineering and Computer Science (DISI), University of Trento, Trento, Italy6
School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia6
Carnegie Mellon University, Pittsburgh, Pennsylvania United States6
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, P. R. China6
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.6
Cornell University, Ithaca, NY, USA6
School of Computer Science, North China University of Technology, Beijing, China6
Department of Electronic Engineering, The Chinese University of Hong Kong6
School of Automation, Nanjing University of Post and Telecommunications, 210046, China6
University of Firenze, Firenze, Italy6
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy6
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium6
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA6
Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Champaign, IL, USA6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
China Three Gorges University, Yichang, China6
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche 60131 Ancona, Italy6
Computer Science, U.Illinois at Urbana Champaign, Urbana, United States6
PUC-RS, Brazil6
Freie Universität Berlin, Germany6
Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China6
Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China6
School of Electrical Engineering and Automation, Anhui University, China6
Department of Computer Science and Information Engineering, Tamkang University, Taiwan6
IAIR, Xi'an Jiaotong University, China6
Centre de Visi´o per Computador6
College of Information Technical Science, NanKai University, CITS, TianJin, China6
Zhejiang University, Hang Zhou, China6
Department of Computer Science and Engineering, Varendra University, Rajshahi, Bangladesh6
School of Computer Science and Engineering, Southeast University, Nanjing, China6
Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA6
National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China6
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China6
WINLAB, Rutgers University6
Los Alamos National Laboratory, New Mexico, USA6
Information Technologies Institute / CERTH, Greece6
School of Computing, University of South Alabama6
Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria6
Department of Electrical Engineering, KAIST, Daejeon, Korea6
Colorado State University, Fort Collins6
University of New South Wales, Australia6
Univ. of Bristol, UK6
Computer Engineering Dept., Amirkabir University, Tehran, Iran6
Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia6
University of Texas at Arlington, Arlington6
City University of Hong Kong, Hong Kong6
School of Engineering, University of Baja California, Tijuana, México6
School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China6
Institute of Image Processing and Pattern Recognition Department of Automation, Shanghai Jiao Tong University, China6
School of Computing and Communication, Lancaster University, Lancaster, U.K.6
School of Information Science and Engineering, Xiamen University, China6
IIT Guwahati, Guwahati, India6
Dept. of E.E., Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China6
Cardiff University, UK6
Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain6
Jiangsu Provincial Key Lab of Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China6
Shenzhen Academy of Robotics, Shenzhen, Guangdong, China6
Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt6
Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China6
Indian Statistical Institute, Kolkata6
Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina6
Jaguar Land Rover, Engineering Centre, Coventry, UK6
Department of Computer Science, University of Warwick, Coventry, UK6
Disney Research, Pittsburgh, USA6
Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK6
Leibniz Universität Hannover, Institute of Microelectronic Systems, Hanover, Germany6
Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay6
Wuhan University, School of Electronic Information, Wuhan, 430072, China6
School of Computer Science and Technology, Soochow University, Suzhou, China6
School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China6
CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France6
Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China6
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany6
Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea6
School of Electronics and Computer Science, University of Southampton, United Kingdom6
South China University of Technology6
University of Freiburg, Germany6
National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China6
School of Computer Science, Nanjing University of Science and Technology, Nanjing, China6
Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI), Federal University of Technology - Parana (UTFPR), Curitiba, Brazil6
Department of Electrical Engineering, Indian Institute of Technology Kanpur, PIN 208016, Uttar Pradesh, India6
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China6
University of Bonn, Germany6
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China6
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA6
Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia6
State Key Lab of Virtual Reality Technology and Systems, Beihang University, Beijing, China6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
MIT CSAIL6
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China6
Department of Computer Science, University of Kentucky6
ATR Key Laboratory, National University of Defense Technology, Changsha, China6
Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 3100236
Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 1008716
Department of Engineering, Enzo Ferrari University of Modena and Reggio, Modena, 41125, Italy6
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China6
Dept. of Electrical and Electronic Engineering, University of Peradeniya6
University of Verona, Department of Computer Science6
SUNY Buffalo, Buffalo, NY, USA6
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, UK6
Department of Computing, Hong Kong Polytechnic University, Hong Kong6
University of Notre Dame, Notre Dame6
Dept. of Eng. Sci., Oxford Univ., UK6
New Industry Creation Hatchery Center, Tohoku University, Japan6
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China6
The Ohio State University, Columbus, OH, USA6
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal6
SAIT India, Samsung India Software Operations Pvt. Ltd (SISO), Bangalore, India, 5600936
Universidade Federal de Campina Grande, Brazil6
SIANI-Universidad de Las Palmas de Gran Canaria, Spain6
VNU HCMC, University of Science, Ho Chi Minh City, Vietnam6
Daimler AG, Research and Development, Ulm, Germany6
Center for Vision Technologies, SRI International, Princeton, NJ 08540, USA6
Research Center for Information Technology Innovation, Academia Sinica, Taiwan6
Nara Institute of Science and Technology, Japan6
Department of Computer Science and Engineering, Shiraz University, Iran6
Hong Kong Polytechnic University, Hong Kong, China6
Advanced Multimedia Research Lab, ICT Research Institute, School of Computer Science and Software Engineering, University of Wollongong, Australia6
CVIT, IIIT Hyderabad, India6
Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL.6
Hong Kong Polytechnic University, Hong Kong, Hong Kong6
Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK6
Institute for Information and System Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
Harbin Institute of Technology6
Department of Computer Science, Chongqing University, Chongqing, China6
Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K.6
Autonomous Driving Lab, Tencent, Beijing, China6
City University of Hong Kong6
Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK6
Center for Behavioral Imaging, School of Interactive Computing, Georgia Institute of Technology6
School of Software, Dalian University of Technology, China 1166206
University of Ljubljana, Ljubljana, Slovenia6
Wuyi University, Jiangmen, China6
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, China6
Advanced Telecommunication Research Institute International, Kyoto, Japan6
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom6
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, CHINA6
University of Oulu, Oulu, Finland6
INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France6
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia6
Amity University Uttar Pradesh, Noida6
Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, 061071, Romania6
Faculty of Information Technology, Brno University of Technology Centre of Excellence IT4Innovations, Bozetechova 2, Brno, 61266, Czech Republic6
Chinese University of Hong Kong, Hong Kong, Hong Kong6
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China6
University of Minnesota, Minneapolis, MN6
School of Software, University of Technology Sydney, New South Wales, Australia6
Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 320006
Columbia University, New York, USA6
Télécom Lille, CRIStAL UMR (CNRS 9189), France6
IMPCA, Curtin University, Australia6
Centre for Development of Advanced Computing (C-DAC), Thiruvananthapuram, India6
UCL Interaction Centre, University College London, London, Unithed Kingdom6
Hong Kong University of Science and Technology, Hong Kong6
Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.6
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
University of Wisconsin - Madison6
Tampere University of Technology, Tampere, Finland6
Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA6
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore6
Institute for Human-Machine Communication, TU Munich, Germany6
Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, China6
UMIC Research Centre, RWTH Aachen University, Germany6
School of Software Engineering, Chengdu University of Information Technology, Chengdu, China6
HIT Delhi, India6
Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 117576, Singapore6
School of Information Science and Technology, Sun Yat-sen University, China6
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA6
Peking University, China6
Hochschule Düsseldorf, University of Applied Sciences, Münsterstraße, Düsseldorf, Germany6
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University6
NC A&T State University, Greensboro, NC, USA6
Department of Electronic Engineering, Shanghai Jiao Tong University6
University of St Andrews6
University of California, Irvine, Irvine, CA, USA6
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China6
University Politehnica of Bucharest, Faculty of Electronics, Telecommunications and Information Technology, Applied Electronics and Information Engineering Department, 1-3, Iuliu Maniu Ave., Romania 0610716
School of Telecommunications Engineering, Xidian University, Xi’an, China6
Nokia Research Center, Beijing, China6
Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, GU2 7NH, USA6
Fudan University, Shang Hai, China6
The Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong6
School of Data and Computer Science, Sun Yat-Sen University, China6
Department of Computer Science, University of Calgary, Calgary, Canada6
Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China6
Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Satmasjid Road, Dhaka, Bangladesh6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA6
Università degli Studi di Milano, Crema, IT6
Department of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China6
Centre for Intelligent Sensing, Queen Mary University of London, London, U.K.6
Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye6
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.6
School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China6
AAU UMR CNRS 1563, Ecole Centrale de Nantes, France6
Institute of Industrial Science, The University of Tokyo, Japan6
Zhengzhou University, Zhengzhou, China6
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA6
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China6
Université de Toulouse, Toulouse, France6
Adv. Technol. Application Center, Havana6
University of California San Diego, USA6
College of Communications Engineering, PLA University of Science and Technology, Nanjing, China6
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India6
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China6
Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, 4 place Jussieu, Paris, France6
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA6
School of Engineering, Newcastle University, UK6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
University of Technology, Sydney, Australia6
Idiap Research Institute, Switzerland6
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh6
Department of Future Technologies, University of Turku, Finland6
Institute of Information Science, Academia Sinica, Taipei, Taiwan6
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China6
Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka6
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong6
Université de Technologie de Compiègne (UTC), France6
Department of Computer Science, University of British Columbia, 201-2366 Main Mall, Vancouver, B.C. V6T 1Z4, Canada6
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China6
Tongji University, No.4800 Cao’an Road, Shanghai, P. R. China6
Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany6
Universidad Autonoma de Madrid, Madrid6
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa6
College of Electronics & Information Engineering, Tongji University, 201804, Shanghai, China6
Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, Dalian University of Technology, Dalian, China6
University of California, Riverside6
Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain6
University of Barcelona, Barcelona, Spain6
Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil6
Computer Science Department, University of Technology, Baghdad, Iraq6
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China6
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China6
UC San Diego6
Waseda University6
USC Institute for Creative Technologies6
CReATe Fertility Centre, Toronto, Canada6
University of Toronto, Advanced Micro and Nanosystems Laboratory, Toronto, Canada6
Pattern Recognition and Intelligent System Laboratory, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China6
School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea6
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan6
Department of Electronic Systems, Aalborg University, Denmark6
School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK6
Nanjing University of Aeronautics and Astronautics, Nanjing, China6
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 6397986
Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
College of Automation, Nanjing University of Posts and Telecommunications, 210046, China6
Computer Vision, Video and Image Processing (CvviP) Research Lab, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia6
Johannes Kepler University, Linz, Austria6
School of Computer Science, The University of Adelaide, Adelaide, SA, Australia6
TU Darmstadt, Darmstadt, Germany6
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China6
Georgia Institute of Technology, Atlanta, GA6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
Sharif University of Technology6
University of Technology, Sydney, Sydney, Australia6
School of Computer and Control Engineering, University of Chinese Academy of Sciences, China6
Vision Lab at Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA6
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China6
KAIST, Daejeon, Korea6
State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China6
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China6
Carnegie Mellon University, Pittsburgh, PA6
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, U.K.6
Yahoo Research, San Francisco, CA, USA6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Türkiye6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U.S.A.6
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China6
School of Computer Science and Technology, Xidian University, Xian, China5
Siemens Healthcare, Malvern, PA, USA5
Institute of Artificial Intelligence & Robotics, Xi'an Jiaotong University, China5
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom, BS8 1UB5
Université de Lyon, CNRS, INSA-Lyon, LIRIS, France5
University of Southern California Institute for Creative Technologies, Los Angeles, CA5
Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany5
Image and Video Laboratory, Queensland University of Technology, Australia5
DFKI GmbH, Kaiserslautern, Germany5
Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil5
School of Electronics and Information Engineering, Beijing Jiaotong University, China, 1000445
Image Processing Center, School of Astronautics, Beihang University, Beijing, 100191, China5
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China5
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile5
Clemson University, Clemson, SC, USA5
School of Mechanical Engineering & Automation, Beihang University, Beijing, China5
National Technical University of Athens, Greece5
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX 77004, USA5
Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul5
Telecommun. & Ind. Phys., CSIRO, Epping, NSW, Australia5
Integrated Media Systems Center, University of Southern California, Los Angeles, CA 90089, USA5
Faculty of Information Technology, Maranatha Christian University, Indonesia5
National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing, China5
Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea5
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences5
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi, China5
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea5
VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy5
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan5
Biometrics and Data Pattern Analytics (BiDA) Lab, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Spain5
CNR IFC-Institute of Clinical Physiology, Pisa, Italy5
Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany5
College of Information Engineering China Jiliang University, HangZhou, China 3100185
Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China5
Research Academy, Northeastern University, Shenyang, China5
Korea Advanced Institute of Science and Technology, Daejeon, Korea5
Lawrence Livermore National Laboratory, Livermore, CA5
Computer Science Department, Bina Nusantara University, Jakarta, Indonesia5
Securics, Inc, USA5
C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY5
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan5
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China5
Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines5
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil, 80230-9015
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, China5
Norwegian Biometrics Laboratory, Gj⊘vik University College, 2802 Gj⊘vik, Norway5
College of Computer and Information Technology, Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei Province, 443002, China5
University of Athens, Athens, Greece5
Harvard University, Cambridge, MA, USA5
School of Electronic Information, Wuhan University, Wuhan, China5
Defence Peace Safety and Security, CSIR Pretoria, South Africa5
Automotive Processor, Texas Instruments Incorporated, Bangalore, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan5
School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China5
Inst. Nat. des Telecommun., Evry, France5
College of Information Engineering China Jiliang University, 310018, Hangzhou, Zhejiang, China5
State Key Laboratory of Software Development Environment, Beihang University, P.R. China5
Institute for Infocomm Research , Agency for Science, Technology and Research, Singapore5
Shenzhen Key Lab of Advanced Telecommunication and Information Processing, College of Information Engineering, Shenzhen University5
Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain5
Simula Research Laboratory & University of Oslo, Oslo, Norway5
KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan5
Toyota Central R&D Labs., Inc., Nagakute, Japan5
RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia5
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava5
College of Information Engineering, China Jiliang University, CJLU Hangzhou, China5
Visionlab, Heriot-Watt University, Edinburgh, UK5
National Chiao Tung University, Department of Computer Science, Hsinchu, Taiwan, R.O.C.5
Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 4007145
School of Electrical Engineering, Korea University, Anam-dong, Sungbuk-gu, Seoul, 136-713, Rep. of Korea5
Korea University, Seoul, South Korea5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida 328165
State Key Laboratory of Software Engineering, Collaborative Innovation Center of Geospatial Technology, National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China5
UNC-Charlotte, Charlotte, NC, USA5
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China5
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA5
Institute of Digital Media, Peking University, Beijing, China5
Dept. of Computer Science & Engineering, The Ohio State University, USA5
Northwestern Polytechnical University, Xi'an Shaanxi, China5
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
School of information and Control Engineering, China University of Mining and Technology, Xuzhou, 221000, China5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
University of North Carolina at Chapel Hill5
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil5
School of Electronic and Information Engineering, South China University of Technology5
CVIT, IIITH, India5
Department of Automation, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China5
The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China5
Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China5
Centre for Machine Vision Research, University of Oulu, Finland5
Information Research Institute, Shandong Academy of Sciences, No 19 Keyuan Road, Jinan, 250014, China5
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany5
Institute of Information Technology, University of Dhaka5
School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom5
GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France5
State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, P.R. China5
IIIT-Delhi5
Department Electrical Information Engineering, Shantou University, Shantou, GuangDong5
School of Information Science and Technology, NorthWest University Xi'an, China5
Center for Imaging Science, Department of Biomedical EngineeringJohns Hopkins University5
School of Electrical and Automation Engineering, Shanghai University, Shanghai, 200072 China5
School of Electrical and Electronic Engineering, Nanyang Technological University5
Department of Electronic Engineering, Tsinghua University, Beijing, P.R.China5
School of Computer Science, University of Manchester5
Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil5
Beijing University of Posts and Telecommunications, Beijing, P.R. China5
College of Information Science and Technology, Beijing Normal University, China5
Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka5
Department of Computer Science, New Jersey Institute of Technology, Newark, USA5
Graduate School of Information, Production and System, Waseda University, Kitakyushu, Japan5
University of Freiburg, Department of Computer Science, Freiburg, 79110, Germany5
University of Southern California, Los Angeles, California, USA5
CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Vision & Image Processing Lab, Systems Design Engineering Dept., University of Waterloo5
Universidade Federal de Minas Gerais (UFMG), Brazil5
Computer Technology Department, University of Alicante, Spain5
Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, GA, USA5
Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic5
Huazhong University of Science and Technology, China5
Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany5
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China5
School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian, 116024, China5
CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China5
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences5
Daimler AG, R&D, Böblingen, Germany5
Image Formation and Processing (IFP) Group, University of Illinois at Urbana-Champaign5
NICTA, Australia5
GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador5
Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco5
School of Biomedical Engineering, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China5
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan5
IBM Research, USA5
Surrey Univ., Guildford, UK5
DeepInsight@PCALab, Nanjing University of Science and Technology5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China5
School of Control Science and Engineering, Shandong University5
Machine Vision Laboratory, University of the West of England, Bristol, UK5
Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany5
University of Manchester, Manchester5
IBM T. J. Watson Research Center, USA5
Department of Computer Science, University of Calgary, Calgary, Alberta5
Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan5
Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou, China5
University of Illinois at Urbana-Champaign, 1308 W. Main st. 61801, USA5
Institute of Information Science and Technologies of the National Research Council of Italy (ISTI-CNR), Pisa, Italy5
Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Madrid, Spain5
School of Data and Computer Science, Sun Yat-Sen University5
Zhejiang University, College of Computer Science, Hangzhou, Zhejiang, 310058, China5
University of Texas at Arlington5
College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China5
University of Vienna, Vienna, Austria5
LUNAM Université, LIUM, Le Mans, France5
Department of Computing, Imperial College London, UK5
Department of Computer Science and Engineering, University of Electronic Science and Technology, Sichuan, China5
Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France5
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA5
Software Institute, Jilin University5
Department of Electrical and Computer Engineering, National University of Singapore, 117576 Singapore5
Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong University, Shanghai, China Shanghai Key Laboratory of Digital Media Processing and Transmissions5
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180555
Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China5
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China5
School of Automation, Beijing Institute of Technology, 100081, China5
Department of Computer Science and Engineering, University at Buffalo5
College of Information Science and Technology, Beijing Normal University, Beijing, P.R. China5
University of California, Riverside, CA, USA5
Department of Mathematics and Computer Science, University of Udine, Udine, Italy5
School of Computer Science and Technology and Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China5
Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand5
Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, 328165
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, PR China5
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, 100876, China5
Visea İnovatif Bilgi Teknolojileri, ETGB Teknoparkı, Eskişehir, Türkiye5
International University of Beirut - BIU, Beirut, Lebanon5
University of Southern California, USA5
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China5
Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK5
Department of Computer Science, University of North Carolina, Charlotte, NC, USA5
School of Computer and Information, Hefei University of Technology, Hefei 230009, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
Research School of Engineering, The Australian National University, Canberra, ACT, Australia5
University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy5
Graduate School of Informatics, Nagoya University, Japan5
Intel Labs China, Intel Corp5
University of Illinois at Urbana Champaign5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
Deptartment of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, 611731, China5
Department of Computer Science, Xiamen University, Xiamen, P. R. China5
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China5
Computer Engineering Department, Firat University, Elazig, Turkey5
Xi'an University of Technology, Xi'an, 710048, P. R. China5
University of Brescia, Department of Mechanical and Industrial Engineering, Via Branze 38 Brescia, Italy5
Graduate University of Chinese Academy of Science, Beijing, China, 1000495
Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania5
School of Electrical Engineering Department, Korea University, Rep. of Korea5
Knowledge Technology Institute, Department of Informatics, University of Hamburg, Hamburg, Germany5
Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia5
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiaotong University5
Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China5
Technische Universität München, Munich, Germany5
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 2100465
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea5
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China5
Toyota Research Institute5
Southern Illinois University at Carbondale, IL, USA5
Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan5
Lab of Pattern Recognition & Information Security, Hangzhou Dianzi University, 310018, China5
Frontier Research Group, Samsung India Software Operations, India5
School of Information Science and Engineering, Changzhou University, Changzhou, China5
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-Gu, Daejeon, 305-701, Korea5
School of Mathematics, Sun Yat-sen University, Guangzhou, China5
National Engineering Research Center on Multimedia Software, Wuhan University, Wuhan 430072, China5
School of Electronic Engineering and Computer Science, Queen Mary University of London, UK5
Cornell University, USA5
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea5
National ICT Australia, Locked Bag 8001, Canberra, Australia5
Inria Paris, Paris, France5
College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China5
Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, The Netherlands5
IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA5
Mapua Institute of Technology, School of Electrical, Electronics and Computer Engineering, Manila, Philippines5
University of Chinese Academy of Sciences, Beijing 100049, China5
School of Automation, Nanjing University of Posts and Telecommunications, 210003, China5
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France5
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China, 1001905
Institute for Microsensors, Actuators and Systems, University of Bremen, Bremen, Germany5
Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
University of Applied Sciences Aschaffenburg, Germany5
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
Hyundai Motor Company, Gyeonggi-do in South Korea5
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science, Beijing, 100190, China5
Department of Computer Science and Technology, Faculty of Computer Science and I.T, University of Malaya, Kuala Lumpur Malaysia5
Chinese Academy of Sciences, Shenzhen, China5
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland5
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P.R. China5
Automation and Systems Research Institute, Seoul National University, Seoul, South Korea5
School of Computing, University of Eastern Finland, Joensuu, Finland5
Department of Computing, Imperial College London, U.K.5
School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China5
Utrecht University, Utrecht, Netherlands5
University of Ontario Institute of Technology, Simcoe St N, Canada5
NVIDIA5
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan5
Département d'informatique et de mathématique, Université du Québec á Chicoutimi (UQAC), Laboratoire d'Intelligence Ambiante pour la Reconnaissance d' Activités(LIARA), Chicoutimi, Quebec, Canada5
National Laboratory of Pattern Recognition, Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China5
BMW Group Technology Office5
Institute of Digital Media Peking University, Beijing, China5
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA5
L3i, University of La Rochelle, France5
Dept. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, P.R. China5
Department of Computer Science and Engineering, Shanghai Jiao Tong University, China5
Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan5
The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China5
Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Center for Learning Science, Southeast University, Nanjing, China5
College of Information Science and Engineering, Northeastern University, Shenyang, 1100045
University of Trento, Italy, Via Sommarive, Trento (Italy)5
Binhai Industrial Technology Research Institute of Zhejiang University, Zhejiang University, Hangzhou, China5
Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 021155
College of Computer Science and Technology, Beijing University of Technology, China5
College of Electronic Science and Engineering, National University of Defense Technology, Hunan, China5
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain5
VIPS Laboratory, School of Electronic Engineering, Xidian University, Xi'an, China5
Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia5
Department of Electronic and Computer Engineering, Brunel University London, UK5
Electrical Engineering, Korea University, Seoul 136-713, Republic of Korea5
Hewlett-Packard Labs5
School of Computer and Information Engineering, Henan University, Kaifeng, China5
School of Computer Science, Wuhan University, Wuhan, China5
School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam5
Universitat Politècnica de Catalunya5
School of Electronics and Information Engineering, Beihang University, Beijing, China5
Department of Computer Science, University of Maryland, College Park, MD 207425
School of Automation Science and EngineeringSouth China University of Technology5
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China5
Shenyang Institute of Automation, CAS, Shenyang, 110016, China5
Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States5
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France5
School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor5
Computer Vision and Pattern Recognition Laboratory (CVPRL), Indian Institute of Technology Ropar, Rupnagar-140001, Punjab, India5
School of CSIT, RMIT University, Australia5
Chalmers University of Technology, Gothenburg, Sweden5
Centre for Autonomous Systems and the Computer Vision and Active Perception Lab, CSC, KTH Royal Institute of Technology, Stockholm, Sweden5
Siqura B.V., Gouda, The Netherlands5
The Hong Kong University of Science and Technology5
Tsinghua National Lab for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, BEIJING, China5
Tsinghua National Laboratory for Information Science and Technology Institute of Microelectronics, Tsinghua University, Beijing, China5
LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC5
Shenzhen, China5
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
School of Computer Science and Engineering,, Nanjing University of Science and Technology, Nanjing, China5
School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada5
School of Computing and Communications, Lancaster University, Lancaster, U.K.5
Department of Mathematics, National University of Singapore, Singapore5
Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain5
School of Automation, Beijing Institute of Technology, Beijing 100081, China5
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China5
ERAU 3700 Willow Creek Rd Prescott, AZ 863145
University of Southampton5
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran5
National Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China5
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University5
Tampere University of Technology, Finland5
College of Computing, Georgia Institute of Technology, Atlanta, GA, USA5
School of Information Technologies, The University of Sydney, Australia5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye5
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China5
Department of Computing, The Hong Kong Polytechnic University, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China5
European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy5
Beijing Technology and Business University, Beijing, China5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
University of Southern California, Los Angeles, USA5
School of Automation, Northwestern Polytechnical University, Xi'an, China5
Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India5
Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina5
INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal5
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China5
Center for Machine Vision Research, University of Oulu5
SKLOIS, IIE, CAS, Beijing, China5
University of Science, Vietnam5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
Technion - Israel Institute of Technology5
Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea5
Hebrew University of Jerusalem, Jerusalem, Israel5
Department of Informatics, Knowledge Technology Institute, University of Hamburg, Vogt-Koelln-Strasse 30, Hamburg, 22527, Germany5
Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia5
Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China5
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang-si, South Korea5
University of California Irvine, CA5
National Institute of Standards and Technology, Gaithersburg, MD5
Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences5
School of Information Science and Engineering, Shandong Normal University, Jinan, China5
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 152135
Computer Vision Group, Friedrich Schiller University Jena, Germany5
National University of Defense Technology, Changsha, China5
Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany5
Department of Computer Science and Engineering, University of Minnesota, Twin Cities, USA5
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland5
Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India5
School of Information Science and Engineering, Central South University, Changsha, 410083, China5
Univ. Grenoble Alpes, Grenoble, France5
Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
School of Computing, National University of Singapore, Singapore, Singapore5
College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, China5
Sun Yat-sen University, Guangzhou5
Microsoft Research, Redmond, USA5
Department of Signal Processing, Tampere University of Technology, Tampere, Finland5
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil5
Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam5
Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea5
Vision for robotics group (v4r), Automation and Control Institute (ACIN), Vienna University of Technology, 1040, Austria5
Faculty of Mathematics and Statistics, Hubei University, Wuhan, China5
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China5
School of Computer and Information, Hefei University of Technology, China5
University of California, Santa Cruz, Santa Cruz, CA, USA5
Department of Computing, Imperial College London, London, UK5
Department of Computer Science, State University of New York at Binghamton, USA5
Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan5
University of Tsukuba5
School of Communication and Information Engineering, Shanghai University, Shanghai, China5
The LNM Institute of Information Technology, Jaipur, India5
University at Albany, State University of New York, USA5
IBM China Research Laboratory, Beijing, China5
Center for Vision Technologies, SRI International, Princeton, NJ5
SIAT at Chinese Academy of Sciences, China5
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Haidian District, Beijing, China5
Lawrence Berkeley National Laboratory, Berkeley, USA5
Microsoft Research, Redmond, WA 98052, USA5
Department of Signal Theory, Telematic and Communications, University of Granada, Spain5
Department of Electrical and Computer Engineering, Biometric Technologies Laboratory, University of Calgary, Calgary, AB, Canada5
State Key Laboratory of Software Development Environment, Beihang University, Beijing, China5
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland5
Technical University of Cluj-Napoca, Computer Science Department, Romania5
Imperial College London, London, United Kingdom5
Northeastern University, Shenyang, China5
Technical University of Cluj-Napoca, Department of Communication, C. Daicoviciu 15, Cluj-Napoca, Romania5
Ocean University of China, Department of Educational Technology, Qingdao, China5
Department of Computer Science, Technical University of Cluj-Napoca, Romania5
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea5
Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea5
School of Information Technology and Electrical Engineering, The University of Queensland, Australia5
Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea5
Tokyo Institute of Technology, Tokyo, Japan5
University of California, Merced5
College of Information Engineering China Jiliang University, Hangzhou, China 3100185
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA5
Yonsei University, Seoul, South Korea5
Department of Computing, Imperial College London, London, Unithed Kingdom5
International Computer Institute, Ege University, Izmir, Turkey5
Cummins College of Engineering for Women5
Shandong University, School of Information Science and Engineering, Jinan, China5
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China5
CVLab, EPFL, Lausanne, Switzerland5
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)5
Stony Brook University5
Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS5
College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China5
Max Planck Institute for Informatics, Germany5
Artificial Vision Laboratory, National Taiwan University of Science and Technology, Taipei, Taiwan5
Rensselaer Polytechnic Institute, USA5
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan5
Michigan State University, East Lansing, MI, USA5
Department of Computer Science & Engineering, The Ohio State University, OH5
Tsinghua National Laboratory for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China5
Department of Electrical Engineering, University of California, Riverside5
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China5
Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná, Curitiba, Brazil5
School of Electrical and Information Engineering, Tianjin University, Tianjin, China5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences5
Toronto Rehabilitation Institute, Toronto, Ontario, Canada5
Beihang University, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beijing, 100191, China5
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi 710049, China5
Department of Electrical and Computer Engineering, and CyLab Biometrics Center, Carnegie Mellon University, USA5
Computer Vision Center, CS Dept. Universitat Autonoma de Barcelona, Spain5
Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany5
Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, Zhejiang, P.R. China5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China5
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China5
University of Illinois at Urbana-Champaign, USA5
Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei, 0710005
UC Berkeley, USA5
Medical Image Computing (ESAT/PSI), Faculty of Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Herestraat 49 box 7003, Belgium5
Graduate School of Information Sciences, Tohoku University, Sendai, Japan5
Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia5
Center for Behavioral Imaging and College of Computing, Georgia Institute of Technology, Atlanta, GA5
Google, California, United States5
PARC, Palo Alto, CA, USA5
Xiamen University of Technology, Xiamen, China5
Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 1386325
Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece5
State Key Laboratory of Software Engineering, School of Computer, Wuhan University5
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia5
University of Michigan, USA5
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China5
MIT Lincoln Laboratory, Lexington, MA, USA5
University of California, Irvine, Irvine, USA5
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi,, 6204, Bangladesh5
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA5
Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA5
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA5
Computer Science and Technology Department, Tsinghua University, Beijing, China5
National Engineering Research Center on Multimedia Software, School of Computer, Wuhan University, Wuhan, China5
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin 150080, China5
Ryerson Multimedia Laboratory, Ryerson University, Toronto, Canada5
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand5
University of Nottingham, UK5
Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada5
Disney Research, UK5
Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany5
Computer Vision and Image Processing Laboratory (CVIP), University of Louisville, Louisville, KY, 402925
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore5
School of Electronic Information, Wuhan University, 430079, China5
CTA, Gdańsk, Poland5
Institute of Intelligent System and Decision, Wenzhou University, China, 3250355
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, China5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada5
Institute of Measurement and Control, Karlsruhe Institute of Technology, Karlsruhe, Germany5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan5
University of Massachusetts Amherst5
University of Alberta, Canada5
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA5
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia5
K.U. Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images at the Medical Imaging Research Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium5
National Tsing Hua University, Hsinchu, Taiwan5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China5
Institute for Neural Computation, University of Bochum, Germany5
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
University of Malaya, Kuala Lumpur, Malaysia5
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore, Singapore5
Centre for Intelligent Systems Research Deakin University, Australia5
Alibaba Group, Hangzhou, China5
Department of Control Science and Engineering, Shandong University, Jinan, 250061, China5
Department of Computer Science Engineering, Rajshahi University of Engineering Technology, Rajshahi, 6204, Bangladesh5
Department of Computer and Information Sciences, Temple University, Philadelphia, 19122, PA5
Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan5
Chonnam National University, Gwangju, Korea5
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China5
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia5
National Engineering Lab for Video Technology, Key Lab of Machine Perception(MoE), School of EECS, Peking University, Beijing, China5
Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, 2 George St., Brisbane, 4001, Australia5
Intel Labs5
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA5
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana USA5
University of Sheffield, Sheffield, United Kingdom5
Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 3820075
Department of Computer Science, Mangalore University, Mangalore, Karnataka, India5
Harada/Ushiku Lab., Graduate School of Information Science and Technology, The University of Tokyo5
Affectiva Inc., Waltham, MA, USA5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-8525
Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA5
National University of Singapore5
Discovery Analytics Center, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States5
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA5
School of Software Technology, Dalian University of Technology, China5
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada5
University College London, London5
University of Illinois at Chicago, Chicago, Illinois, USA5
University of Florence, Florence, Italy5
Fujitsu Laboratories Limited, Kanagawa, Japan5
Sun Yat-Sen University, Guangzhou 510006, China5
Department of Computer and Information Science, University of Macau, Taipa, Macau5
Inst. of Comput. Technol., Chinese Acad. of Sci., China5
Huawei Technologies, Beijing, China5
MIMOS Berhad, Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia5
School of Internet of Things Engineering, Jiangnan University, Wuxi, China5
Electronics and Telecommunications Research Institute, Korea5
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India5
TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India5
Robotics and Perception Group, University of Zurich, Switzerland5
Beijing Institute of Technology, Beijing, 100081, China5
National Research University Higher School of Economics, Moscow, Russia5
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China5
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany5
University of Houston, Houston5
University of Tübingen, Germany5
IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA5
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA5
University of Delaware, Newark, DE, USA5
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China5
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 212185
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada5
San Diego State University, San Diego, CA, USA5
Brown University5
City University of Hong Kong, Hong Kong, Hong Kong5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, 48109, USA5
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Massachusetts Institute of Technology, USA5
Universidade Nova de Lisboa, Caparica, Portugal5
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China5
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown WV 26506, USA5
Microsoft Res. Asia, Beijing, China5
TU Darmstadt5
Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA5
School of Automation, Wuhan University of Technology, Wuhan, China5
Department of Computer Science, University College London, UK5
Information Engineering College, Henan University of Science and Technology, Luoyang, China5
School of Resource and Environmental Sciences, Wuhan University, Wuhan, China5
Cognitive Science Department, Xiamen University, Xiamen, China5
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil5
Zhejiang University & Alibaba Group, Hangzhou, China5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
GIPSA-Lab, Grenoble Institute of Technology, France5
Measurement and Information Systems, Warsaw University of Technology, Institute of Theory of Electrical Engineering, ul. Koszykowa 75, Warszawa, 00-662, Poland5
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam5
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia5
New York University, New York City, NY, USA5
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China5
Ghent University, Belgium5
GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco5
School of Electronic Information, Wuhan University, 430072, China5
School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China5
Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey5
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, P.R. China5
Nokia Research Center, Beijing5
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia5
State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China5
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Tunisia5
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China 4100735
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China5
Bahcesehir University, Istanbul, Turkey5
Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing, China5
Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain5
University of Toronto5
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia5
School of Computer Science and Technology, Tianjin University, Tianjin, 300350, China5
Department of Computer Science, University of Illinois at Urbana-Champaign5
Department of Computer Science and Technology, Tongji University, Shanghai, China5
IIIT Hyderabad, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan5
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA5
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA5
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, Australia5
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China5
Changchun institute of optical precision machinery and physics, Chinese academy of sciences, CAS, Changchun, China5
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China5
Department of Computer Science, University of Oxford5
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China5
Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany5
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China5
University of Queensland, Brisbane, Australia5
School of Artificial Intelligence, Xidian University, Xi’an, China5
College of Computer and Information Science, Southwest University, Chongqing, China5
Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain5
The Australian Centre for Visual Technologies, The university of Adelaide4
University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia4
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731 Chengdu, Sichuan, China4
Delft University of Technology, Netherlands4
Xi'an Jiaotong University, School of Software Engineering, Xi'an, China4
University of the Western Cape, Bellville, Western Cape4
Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan4
Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France4
Google, Inc., Pittsburgh, PA, USA4
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, China4
Complutense University, Madrid, Spain4
Department of Information Science & Electronic Engineering, Zhejiang University, No. 38 Zheda Road, Hangzhou 310027, China4
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Dept. Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea4
Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada4
Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea4
Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, 200240, China4
Department of Electronic Engineering, Tsinghua University, Beijing, China 1000844
New York University, Brooklyn, NY, USA4
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China4
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea4
Electronic Systems Group, Eindhoven University of Technology, The Netherlands4
Robotics Research Center, Kohli Center on Intelligent Systems, IIIT Hyderabad, India4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China4
University of Chinese Academy of Sciences & CAS, Beijing, China4
Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada4
School of Computer Science, Cardiff University, Cardiff, U.K.4
National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China4
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K.4
Advanced Computing Research Laboratory, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
Intelligent Sensing and Communications Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.4
School of Computing, Informatics & Media, University of Bradford, Bradford City, UK4
Dyson Robotics Lab, Imperial College London4
Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, LANZHOU JIAOTONG UNIVERSITY, Lanzhou, Gansu Province, China4
Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea4
Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany4
College of Science, National University of Defense Technology, Changsha, China4
University of Portsmouth, United Kingdom4
University of Udine, Via Delle Scienze, Udine, Italy4
School of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, 130117, China4
Department of Telecommunication, Brno University of Technology, Czech Republic4
Otto-von-Guericke University Magdeburg, Neuro-Information Technology (NIT), Universitaetsplatz 2, Magdeburg, 391064
Department of Computer Science, NC State University, Raleigh, U.S.4
Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland4
École de technologie supérieure (ÉTS) Montreal, Canada4
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Informatics Institute, University of Amsterdam, Netherlands4
Australian Centre for Field Robotics, The University of Sydney, Sydney, NSW, Australia4
College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China4
Université de Lyon, CNRS, UMR5205, F-69622, France4
Department of Computer Engineering, K J Somaiya COE4
Department of Automation, Tsinghua University, Beijing 100084, China4
RWTH Aachen University, Visual Computing Institute4
University at Albany, State University of New York4
LITIS laboratory, INSA of ROUEN - University of Rouen, France4
Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic4
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China4
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Lishui Road 2199, Nanshan District, China 5180554
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India4
Department of Information Technology4
Department of Computer Science, Aalto University, Finland4
Université de Lyon, CNRS, UMR5205, F-69622, France4
National Laboratory of Pattern Recognition, Institute of Automations, Chinese Academy of Sciences, Beijing, China4
Signal & Information Processing Laboratory, Beijing University of Technology, China, 1001244
Wenzhou University, Wenzhou, China4
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
Federal University of Piauí, Teresina, Brazil4
Information and Communication engineering, Beijing University of Posts and Telecommunications, China, No.10 Xitucheng Road, Beijing, China4
Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 289334
Singapore and the ST Engineering, NTU Corporate Lab, Nanyang Technological University, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore4
Institute for Human-Machine Communication, Technische Universität München, Germany4
POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy4
Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt4
Department of Electrical Engineering, University of Windsor, ON, N9B3P4, Canada4
Department of Automation, University of Science and Technology of China, Anhui Hefei 230027, P. R. China4
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences4
Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia4
Information Technologies Institute, Centre for Research and Technology Hellas4
Robotics and Artificial Intelligence Lab, Indian Institute of Information Technology, Allahabad, 211012 (U.P), India4
The University of Chicago and Argonne National Laboratory, Chicago IL, USA4
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology4
Electrical and Computer Engineering Department, Clarkson University, Potsdam NY USA 136994
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China4
Intc®Movidius, Advanced Architectures Group4
Department of Electronics, Computer Sciences and Systems, University of Bologna, Cesena, Italy4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland4
Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ- 080284
LAPI, University Politehnica of Bucharest, Romania4
Hiroshima University, Hiroshima 739-8527, Japan4
School of Computer, Wuhan University, 430072, China4
Universidade Federal do Parana, Brazil4
Institute of Digital Media, School of EECS, Peking University, China4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France4
School of Electric and Electronic Engineering, Shanghai University of Engineering Science, Shanghai, China4
Graduate university of for Advanced Studies, Kanagawa, Japan4
Blekinge Institute of Technology, School of Engineering, Box 520, SE-372 25 Ronneby, Sweden4
Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel4
Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea4
RheinMain University of Applied Sciences, Wiesbaden, Germany4
Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain4
Haerbin Institue of Technology, Harbin, China4
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA4
Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia4
Institute of Systems and Robotics, Electrical and Computer Engineering Department, University of Coimbra, Portugal4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Sun Yat-Sen University4
Federal University of Technology–Paraná, Curitiba, Brazil4
School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China4
Shanghai University School of Communication and Information Engineering Shanghai, China4
Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, P. R. China4
Media Integration and Communication Center - MICC, University of Florence, Italy4
School of Computing and Information Systems, The University of Melbourne, Australia4
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, 09123, Italy4
Robotics and Computer Vision (RCV) Laboratory, Dep. of EE, KAIST, Daejeon, 305-701, Korea4
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China4
School of Electronics and Information Technique, Harbin Institute of Technology, No.92, West Da-Zhi Street, Heilongjiang, China4
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China 1001914
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, Guangdong, China4
Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel4
Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
University of Denver, Denver4
The Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia4
School of Computer Science and Engineering, Nanjing University of Science and Technology, 210094, China4
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, P.R. China4
Electrical and Computer Engineering, North Carolina State University, NCSU, Raleigh, North Carolina, USA4
Department of Information and Electronics, Graduate School of Engineering, Tottori University4
Department of Mathematics and Computer Science University of Basel4
School of Communication Engineering and the Kangni Mechanical and Electrical Institute, Nanjing Institute of Technology, Nanjing, China4
IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal4
LITIS laboratory4
Computer Science Department, University of Illinois at Urbana-Champaign, USA4
Department of Automation, University of Science and Technology of China, Hefei, Anhui, China4
KCIS, IIIT Hyderabad, Robotics Research Center, India4
Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA4
Department of Electrical Engineering, Indian Institute of Science, Bangalore4
Instituto Superior Tecnico , Lisbon, Portugal4
Vishwakarma Institute of Technology, Pune4
Sch. of Comput., Singapore Nat. Univ., Singapore4
IISIS, University of North Carolina Wilmington, 28403, USA4
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand4
School of electronic information and control engineering, Beijing University of Technology, China4
SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France4
Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE4
Electronics and Communication Engineering Department, Istanbul Technical University, 34469 Maslak, TURKEY4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
University of Tehran, Tehran, Iran4
Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science, Sun Yatsen University, Guangzhou, China4
Leibniz Universität, Hannover, Germany4
Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China, Huazhong University of Science and Technology, Wuhan, China4
Media Integration and Communication Center, Università degli Studi di Firenze, Firenze, 50134, Italy4
Graduate School of Informatics, Nagoya University, Aichi, Japan4
Graduate Shcool of Information Science, Nagoya University, Japan4
Division of Biomedical Engineering, University of Cape Town, South Africa4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R., Shannxi, China4
School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan, China, 4300734
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China 6117314
Intelligent Data Center and the Department of Mathematics, Sun Yat-sen University, Guangzhou, China4
Social Robotics Lab, Interactive Digital Media Institute, Department of Electrical and Computer Engineering, National University of Singapore, Singapore4
Wuhan Zhongyuan Huadian Science & Technology Co., Ltd., Wuhan, China4
Department of Electrical and Computer Engineering, Seoul National University4
Centre de Visió per Computador Universitat Autònoma de Barcelona4
LIMIARF, Faculty of Sciences, Mohammed V University in Rabat, Morocco4
Artificial Intelligence Institute, Zhejiang University Hangzhou, China4
Toyota Central R&D Labs., Inc., Japan4
Institute for Creative Technologies, University of Southern California, 12015 Waterfront Dr., Playa Vista, CA4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
School of Electronics and Computer Science, University of Southampton, UK.4
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an, P R China4
College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China4
Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-914054
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, Bratislava, 81219, Slovak Republic4
Department of Automation, with the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
IT Department, Mutah University, Karak, Jordan, 617104
Nanjing University of Posts and Telecommunications, 210046, China4
Institute for Advanced Computer Studies, University of Maryland, College Park4
Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil4
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA4
McMaster University, Hamilton, ON, Canada4
Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA4
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador4
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China4
Department of Automation, Tsinghua University4
Graduate School of Engineering, Mie University4
Department of Computer Science & Engineering, Centre for Computer Vision and Pattern Recognition, National Institute of Technology Rourkela, Rourkela, India4
School of Computer Science, University of the Witwatersrand, Johannesburg, South Africa4
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China4
Electrical and Computer Systems Engineering, School of Engineering, Monash University Malaysia, 46150 Selangor, Malaysia4
Seoul National University, Seoul, Korea4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Emotibot Inc., Taipei, Taiwan4
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain4
Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain4
Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China4
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China4
Boğaziçi University, Bebek, Istanbul, Turkey4
College of electronic and information engineer Changchun University of Science and Technology Changchun China4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China4
School of Computing, University of Leeds4
Graduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga, 525-8577 Japan4
LTCI, Télécom ParisTech, Université Paris-Saclay, 75013, France4
Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Zhejiang University, Hangzhou, 310027, P.R. China4
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA4
Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt4
School of Communication and Information Engineering, Shanghai University, China4
School of Computing 8 Info. Sciences, Florida International University, Miami, FL, USA4
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA4
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA4
Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina4
Faculty of Mathematics and Statistics, and Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China4
Peking University, National Engineering Laboratory for Video Technology, School of EE&CS, Beijing, China4
School of Mechatronics Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai (200072), China4
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH 44555.4
Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China4
Beijing Jiaotong University, School of Computer and Information Technology, Beijing, China4
Biometric Engineering Research Center, Yonsei University, Seoul, Korea4
University of Electronic Science and Technology of China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, South Korea4
Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA4
Department of Informatics, Aristotle university of Thessaloniki, Greece4
School of Electrical Engineering and Computer Science, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia4
Department of Computer Science and Engineering, Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering4
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology , Chinese Academy of Sciences, Beijing, China4
Moulay Ismail University, Faculty of Sciences and Techniques, Department of Computer Science, ASIA Team, M2I Laboratory, BP 509 Boutalamine 52000, Errachidia, Morocco4
London, United Kingdom4
Department of Electrical and Computer Engineering, Federal University of Technology-Paraná, Curitiba, Brazil4
Kyushu University, Faculty of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka-shi, 819-0395, Japan4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, People's Republic of China4
Video/Image Modeling and Synthesis Laboratory, Department of Computer and Information Sciences, University of Delaware, Newark, DE4
Jiangsu University, Zhenjiang, Jiangsu, China4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
Department Of Computer Science, City University of Science and Information Technology, Peshawar, Pakistan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China 1008764
The Electronic Engineering Department, Sogang University, Seoul, Korea4
Pennsylvania State University, University Park, PA, USA4
Key Lab of Optoelectronic Technology & Systems of Education Ministry, Chongqing University, China4
School of Cyber Security, Shanghai Jiao Tong University, Shanghai, China4
Streaming Lab, Shen Zhen Instituted of Information Technology4
Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran4
Image and Video Systems Lab, School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Computer Vision Center, Universitat Autònoma de Barcelona, Spain4
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China 2120134
Department of Computer Engineering, Khalifa University, UAE4
Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, P. R. China4
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia4
“Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Bejing, China4
LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania4
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China 2002414
Department of Computer Science and Engineering, Michigan State University, East Lansing MI 488244
U&P U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India4
Institute of Computer Science and Technology, Beijing, China4
Faculty of Engineering, Multimedia University, Cyberjaya 61000, Selangor, Malaysia4
Key Laboratory of System Control and Information Processing, Ministry of Education of China, School of Electron Information and Electrical Engineering, Shanghai Jiao Tong University, China, 2002404
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Key Laboratory of Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, Korea4
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland4
College of Computer Science, Zhejiang University, China4
Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, The Chinese University of Hong Kong, Hong Kong SAR4
School of Resource and Environment Sciences, Wuhan University, Wuhan, China4
Victoria University, Melbourne, Australia4
NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan4
sch. EECS, Peking University, Beijing, China4
Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn4
Department of Electronics and Communication Engineering4
Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea4
Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, China4
Naval Research Laboratory, Artificial Intelligence Center, Washington, DC 203754
Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China4
State Key Laboratory of Virtual Reality Technology and Systems, Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing, China4
Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation of China, Xidian University, Xi’an, China4
CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China4
Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, Korea4
College of Computer Science and Technology, Zhejiang University, China4
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA4
Nippon Telegraph and Telephone Corporation, Kanagawa, Japan4
Department of Electrical and Computer Engineering, The University of Texas at Austin, 2501 Speedway, Austin, TX, 78712, USA4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China4
Insight Centre for Data Analytics, Dublin City University, Ireland4
IIIT-Delhi, New Delhi, India4
Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland4
Department of Innovation Engineering, University of Salento, Lecce, Italy4
Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam4
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway4
Xerox Research Centre Europe, FRANCE4
Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil4
University of California, San Diego, USA4
imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001904
The University of Queensland, School of ITEE, QLD 4072, Australia4
DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France4
Nanyang Technological University, School of Electrical and Electronics Engineering, Singapore, 6397984
College of Electronic and Information Engineering, Hebei University, Baoding, China4
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA4
Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon-si, Korea4
NVIDIA, Santa Clara, CA4
Osaka university, Japan4
Willow Garage Inc., Menlo Park, CA, USA.4
Facultad de Ingeniería, Universidad Panamericana, Aguascalientes, Mexico4
Chair of Media Technology, TUM, Munich, Germany4
Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Corporate Research & Development Center, TOSHIBA Corporation, Japan4
School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW 2522, Australia4
IIIT, Delhi4
Information Research Institute of Shandong Academy of Sciences, Jinan, China4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology4
Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China4
University of Michigan, Ann Arbor, MI4
School of Communication and Information Engineering, BUPT, Beijing, China4
Nanjing University, Nanjing, Jiangsu, China4
School of Computer Science and Engineering, University of Electronic Science and Technology of China4
Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain4
Technical University of Berlin (TUB), Communication Systems Group, Germany4
Department of Computer Science, Swansea University, Swansea, UK4
Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China4
TU Darmstadt, Germany4
Human-Computer Communications Laboratory, Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, China4
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
Department of ECE, S.J.B Institute of Technology, Bangalore, India4
School of Information and Communication Engineering, Dailian University of Technology, Dalian, China4
The Hong Kong Polytechnic University, Hong Kong, Hong Kong4
College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China4
State Key Laboratory of Industrial Control Technology, Zhejiang University No. 38 Zheda Road, Hangzhou, China, 3100274
Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering, Tianjin University of Technology (TJUT), Tianjin, 300384, China4
National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China4
INSA Rennes CNRS IETR-UMR 6164, Univ Rennes, Rennes, F-35000, France4
Radboud University, Nijmegen, HR, The Netherlands4
School of Engineering, Universidad Autonoma de Madrid, Spain4
School of Aerospace Engineering, Man-Machine-Environment Engineering Institute, Tsinghua University, Beijing, China4
Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea4
College of Optical Science and Engineering, Zhejiang University, Hangzhou, China4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China4
Konkuk University, Seoul, South Korea4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Dalle Molle Instituite for Artificial Intelligence (IDSIA), Lugano, Switzerland4
Faculty of Science and Engineering, Waseda University, Tokyo, 162-0042, Japan4
Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 77 Massachusetts Ave., Cambridge, 02139-4307, USA4
College of Computer Science, Sichuan University, Chengdu, 610065, China4
Faculty of Information Science and Technology (FIST), Multimedia University, Melaka, Malaysia4
Multimedia Computing Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China4
Rutgers University, Piscataway4
Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany4
Center for Computer Vision and Department of Mathematics, SunYat-Sen (Zhongshan) University, Guangzhou 510275, China4
Graduate School at Shenzhen, Tsinghua University, Shenzhen Institute of Future Media Technology, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China4
Lancaster University, Lancaster, UK4
Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany4
Department of Information Engineering, The Chinese University of Hong Kong4
DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)4
College of Automotive Engineering, Kookmin University, Seoul, South Korea4
School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia4
CSIR-Central Scientific Instruments Organisation, Chandigarh, India4
Shandong University of Computer Science and Technology Jinan, China, 2501014
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran4
School of Computer Science and Technology, University of South China, Hunan, China4
Institute of Industrial Science, University of Tokyo, Tokyo, Japan4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany4
Dept. of Electronics, University of Alcalá, Spain4
Syracuse University, NY, USA4
School of Data and Computer Science, Sun Yat-Sen University, Guangdong, China4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan Province, China4
Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal4
Noblis, Bridgeport, WV, U.S.A.4
GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain4
Graduate School of Info. Sci., Nagoya University, Japan4
The Robotics Institute, Carnegie Mellon University, Pittsburgh, USA4
Dept of Computer Engineering, MIT College of Engineering4
Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Monastir, Tunisia4
Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain4
Fujitsu Laboratories Ltd., Kawasaki, Japan4
ETH Zürich, 8092 Zürich, Switzerland4
School of Computer, National Engineering Research Center for Multimedia Software, Wuhan University, China4
Jiangsu University, Zhenjiang, China4
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China 10008764
MIT Lincoln Laboratory4
Chubu University, 1200 Matsumoto cho, Kasugai, Aichi, Japan4
School of Computer Science & Engineering, Xi'an University of Technology, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
Northumbria University, Newcastle upon Tyne, United Kingdom4
IDSIA, USI/SUPSI, Lugano, Switzerland4
Department of Computer Science, Yonsei University, Seoul, Korea4
Department of Medical Biophysics, University of Western Ontario, London, ON, Canada4
Automation Department, Tsinghua University, Beijing, China4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China4
Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1, Nojihigashi, Kusatsu, Shiga, 525-8577, Japan4
Sch. of Electron. & Inf. Eng., Xi'an Jiaotong Univ., China4
School of Information Renmin University of China, Beijing, China4
ETH Zurich, Zurich, Switzerland4
STAR Technologies, A DSCI Company, Eatontown, NJ USA4
School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada4
Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea4
Center for Future Media, School of Computer Science and Engineering, University of Electronic Science and Technology, China4
Department of Electrical and Computer Engineering, University of Windsor, ON, N9B 3P4, Canada4
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jialuo Road, Jiading, Shanghai, P.R. CHINA4
College of Computer Science & Software Engineering, Shenzhen University, GuangDong, China4
Intelligent Assistive Technology and Systems Lab (IATSL), University of Toronto, Canada4
chool of Electrical Engineering, KAIST, Daejeon, 305-701, Korea4
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore4
Department of Electronic Engineering, Tsinghua University, Beijing, 1000844
Vienna University of Technology, Vienna, Austria4
Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand4
Youngstown State University, USA4
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, 4300734
Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy4
University of Mannheim, Mannheim, Germany4
School of Automation, Beijing Institute of Technology, Haidian 100081, China4
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China4
Department of Computer Science, Cork Insititute of Technology, Cork City, Ireland, Michael4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Dept. of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan4
Graduate School of Engineering, Mie University, Tsu, Mie, Japan4
Indian Statistical Institute, Kolkata, India4
School of Computer Science and Engineering, Xi'an University of Technology, China4
University of Salzburg, Department of Computer Sciences, 5020 Salzburg4
Tsinghua National Lab for Info. Sci. & Tech. (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China, 1000844
NERCMS, School of Computer, Wuhan University, China4
Department of Computer Science, Western University, London, ON, N6A 5B7, Canada4
Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia4
Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA4
Dept. of Brain and Cognitive Engineering, Korea University, Seoul, Korea4
College of Information engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, 3100144
Contents Protection and Management Team, ETRI, Deajeon, KOREA4
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom4
Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Caoan Road 4800, Shanghai 201804, China4
Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea4
Visual Information Processing Laboratory/Shenzhen Key Laboratory of Science and Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China4
Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy4
Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan4
Universidad Rey Juan Carlos, Spain4
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany4
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany4
Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India4
Global Big Data Technologies Centre, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia4
Computer Science and Engineering Dept., University of Nevada Reno, USA4
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105204
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China4
Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway4
Computer Science Department, Rutgers University, 110 Frelinghuysen Road Piscataway, NJ 08854 USA4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering and Computer Science Department, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea4
Advanced Imaging Engineering at Chung-Ang University4
University of North Carolina Wilmington4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
People's Public Security University of China, School of Information technology and Network Security, Bejing, China4
Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France4
Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA4
Computer Science, Colorado State University, Fort Collins, USA4
Department of Computer Science - University of Brasilia - Brazil4
National Key Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, 410073, China4
School of Mathematical Sciences, Dalian University of Technology, Dalian, China4
Zhejiang University, College of Computer Science, Hangzhou, P. R. China4
National University of Defense Technology (NUDT), Changsha, China4
Computer Science and Engineering, University of California, San Diego, La Jolla, California 920934
Philips Research, High Tech Campus 36, Eindhoven 5656 AE, The Netherlands4
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany4
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND4
UC Merced, USA4
Knowledge Technology, Department of Informatics, University of Hamburg, Vogt-Koelln-Str. 30, Hamburg, 22527, Germany4
SIANI - Universidad de Las Palmas de Gran Canaria, Spain4
School of Computer Science, Hangzhou Dianzi University, Hangzhou, China4
University of Alcalá, Alcalá de Henares, Spain4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China4
Université de Nantes, France, Nantes, France4
Institute of Information Science, Beijing JiaoTong University, Beijing 100044, P.R. China4
Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan4
Guangzhou, China4
Department of Computer Science, University of Toronto4
Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic4
Shenzhen Key Laboratory of Information Science and Technology, Shenzhen Engineering Laboratory of IS&DCP and the Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Beijing, China4
Nara Institute of Science and Technology4
Zhengzhou University, Zhengzhou 450000, P.R China4
Department of Electrical and Computer Engineering, University of Denver, Co, 80208, USA4
Department of Technology, Pompeu Fabra University, Barcelona, Spain4
University of Florence, Italy4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China4
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
University of Yamanashi, Kofu, Japan4
School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA4
Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Department of Computer Science and Engineering, Shanghai Jiao Tong University4
Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA4
School of Software Engineering, Chongqing University, China4
Department of Mathematics, Intelligent Data Center, Sun Yat-sen University, Guangzhou, China4
University of Massachusetts, Lowell, MA4
School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand4
ECE, VIT University, VIT, Chennai, India4
State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China4
School of Computer and information, Hefei University of Technology, Hefei, China4
Norwegian University of Science and Technology, Trondheim, Norway4
Dept. of Electrical and Computer Engineering, University of Dayton, OH 45469, USA4
University of Liverpool, School of Electrical Engineering Electronics and Computer Science4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Institude of Computer Science and Technology, Peking University, Beijing, China4
Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Queensland University of Technology, Australia, Queensland, Australia4
Tel-Aviv University4
College of Information and Communication Engineering, Sungkyunkwan University, 300 Chunchundong Jangangu Suwon, Korea4
Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA4
Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy4
Umm al Qura University, Makkah, Saudi Arabia4
National ICT Australia, Sydney, Australia4
INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France4
Northeastern University, Boston, USA4
Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia4
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 1100164
College of Computer Science, Zhejiang University, Hangzhou, China 3100274
Institute of Computing - University of Campinas - Campinas, Brazil4
Queen Mary, University of London, E1 4NS, UK4
School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China4
The school of Electronics Engineering & Computer Science, Peking University, Beijing, China4
Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea4
Pattern Recognition and Intelligent System Lab (PRIS) Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China4
Institute of Intelligence Information Processing, Xidian University, Xi¿an, China, 7100714
Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey4
Philips Research Laboratories, Eindhoven, The Netherlands4
University Of Michigan, Electrical Engineering and Computer Science, Ann Arbor, USA4
Corporate Research and Development Center, Toshiba Corporation, 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582, Japan4
University of of Modena and Reggio Emilia4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
Nanjing University of Information Science and Technology, Nanjing, China4
Dept. of Computer Science, Otago University, Dunedin, New Zealand4
School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology Guangxi Guilin, China4
Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea4
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy4
School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China4
RMIT University, Victoria 3083, Australia4
Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
Indiana University, Bloomington, IN4
School of Electric Information and Electronic Engineering, Shanghai Jiaotong University4
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China4
School of Engineering & Applied Science, Ahmedabad University, Gujarat, India 3800094
National Laboratory of Pattern Recognition, CASIA, Center for Research on Intelligent Perception and Computing, CASIA, Center for Excellence in Brain Science and Intelligence Technology, CAS, University of Chinese Academy of Sciences, Beijing, 100049, China4
Department of Electrical Engineering, Indian Institute of Technology, Patna, Bihar, India4
Visteon Corporation, Karlsruhe, Germany4
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China4
State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100080, China4
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China4
Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea4
Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand4
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China4
Seoul Nat'l Univ.4
Inter-university Semiconductor Research Center, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea4
University of California, Santa Barbara, Santa Barbara, CA, USA4
Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia4
AI Department, Ant Financial Services Group, Hangzhou, China4
Facebook Inc., Menlo Park, CA, USA4
Peking University, Beijing, P.R. China4
National Institute of Informatics, Japan4
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Weizmann Institute of Science4
Dept. of Informatics, University of Hamburg, Germany4
Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China4
Institute of Smart City Shanghai University, School of Communication and Information Engineering, Shanghai, China4
University Politehnica of Bucharest4
Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France4
Seoul National University4
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China4
Air Force Engineering University, Xi'an, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
University of Illinois at Urbana-Champaign, Urbana, USA4
Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, China4
dept. Automation of Tsinghua University, Beijing, China4
School of Computer Science and Telecommunication Engineering, Jiangsu University, ZhenJiang, Jiangsu, 212013, P. R. China4
UPMC Univ Paris 6, LIP6, 4 place Jussieu, 75005, France4
Institute for Human-Machine Communication, Technische Universität München, Germany4
college of Software Engineering, Tongji University4
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China4
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China4
Graduate Institute of Electronics Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan, R.O.C.4
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China4
University of Chinese Academy of Sciences4
School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom4
Jiangxi Normal University, Nanchang, China4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain4
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA4
CC Innovation in Intelligent Multimedia Sensor Networks, Lucerne University of Applied Sciences and Arts (HSLU), Lucerne, Switzerland4
School of Computer Science, Northwestern Polytechnical University, Xi’an, China4
School of Electronic and Information, South China University of Technology, Guangzhou 510660, China4
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye4
Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy4
College of Information Engineering, North China University of Technology, Beijing, China4
Computer Vision Center, Univ. Autònoma de Barcelona, Spain4
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA4
Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K.4
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea4
School of Information and Engineering, Wuyi University, Jiangmen, 529020, Guangdong, China4
West Virginia University, Morgantown, WV, USA4
Indraprastha Institute of Information Technology (IIIT), New Delhi, India4
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, CN, 2002404
Dept. of Computer Science, The University of Hong Kong, Hong Kong4
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea4
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK4
Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil4
Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea4
Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy4
Dirección General de la Guardia Civil - DGGC Madrid, Spain4
ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS) University of Sfax, Soukra street, Km 3.5, B.P. 1173, 3038 Sfax, Tunisia4
Noah's Ark Laboratory, Huawei Technologies Co., Ltd4
TAMS, Department of Informatics, University of Hamburg, Hamburg 22527, Germany4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
University of Electronic Science and Technology of China, Chengdu, Sichuan, 6117314
State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, 110016, China4
Computer Vision Centre Barcelona, Barcelona, Spain4
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China4
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia The University of Queensland, School of ITEE, QLD 4072, Australia4
Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, USA4
Inha University, South Korea4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Dept. of ECE & Digital Technology Center, University of Minnesota, USA4
Queensland University of Technology, Brisbane, QLD, Australia4
Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
College of Communication Engineering, Hangzhou Dianzi University, China4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, No.95 East Road of Zhongguancun, Beijing, China4
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, 150001, China4
Department of Computer Science, Washington University, Saint Louis, Missouri, 631304
Hewlett-Packard Laboratories, Hewlett-Packard Company, Palo Alto, CA, USA4
CSIR-Central Scientific Instruments Organisation, Chandigarh, 1600304
Dept. of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, Korea4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China4
Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico4
Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, Taganrog, Russia4
Department of Computer Science University of Rochester, NY 14627, USA4
Mathematic and Application Laboratory, FSTT, Tangier, Morocco4
NTT Software Innovation Center, Tokyo, Japan4
Universiti Sains Malaysia, Penang, Malaysia4
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, China4
Department of Electronics Engineering, Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan4
M S Ramaiah University of Applied Sciences, Bangalore, India4
National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China4
Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany4
Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain4
School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom4
École Polytechnique de Montréal, Montréal, QC, Canada4
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL4
University of Bologna4
Department of Computer Science and TechnologyState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China4
National Electronic and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani, Thailand, Tokyo Institute of Technology, Tokyo, Japan4
The University of Dayton, Dayton, OH 45469, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China4
Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China4
Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA4
Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece4
Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan4
Making Sense of Data Group, National ICT Australia and School of Computer Science and Engineering, The University of New South Wales, Australia4
University of Houston, Houston, TX, USA4
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei, Anhui, 230026, P.R. China4
Center for Automation Research, University of Maryland, College Park, USA4
Sch. of Electron. & Comput. Sci., Southampton Univ., UK4
Dept of Computer Engineering, Kyung Hee University, Yongin-si, South Korea4
Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan4
George Mason University, Fairfax, Virginia4
College of Electronic Science, National University of Defense Technology, Changsha, China4
Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China4
University of Biskra, Biskra, Algeria4
Shanghai University, Shanghai, China4
Virginia Tech, Blacksburg, VA, USA4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
Department of Computer and Information Science, Temple University, Philadelphia, PA, USA4
School of Statistics, Capital University of Economics and Business, Beijing, China4
EEECS/ECIT, Queen’s University Belfast, Belfast, U.K.4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
Shenzhen VisuCA Key Lab / SIAT, Chinese Academy of Sciences, China4
CyLab Biometrics Center, Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, China4
Faculty of electrical engineering, University of Ljubljana, Slovenia4
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey4
Department of Information Management and Security, Korea University4
JOL WAVE Telecom Italia, Catania, Italy4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Faculty of Computer and Information Science, University of Ljubljana4
Dept. of Electron., Alcala Univ., Madrid, Spain4
University of Rennes 1, Rennes, France4
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan4
Face Aging Group, University of North Carolina, Wilmington, NC, USA4
University of Ljubljana4
Istanbul Technical University4
The Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
Northwestern University, Evanston, IL, USA4
Digital Optics Corporation, Bucharest, Romania4
Thales Research Departement, Thales Security Systems and Services, Osny, France4
School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA4
Seoul National University, Seoul, Rebublic of Korea4
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia4
School of Electronic and Information Engineering, Beihang University, Beijing Laboratory for General Aviation Technology, Beijing, 100191, P. R. China4
Samsung R&D Insitute India - Bangalore, India4
Technical University of Ostrava, FEECS, Department of Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic4
Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, P.R. China4
Toyota Technological Institute at Chicago4
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China4
Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France4
Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE4
Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001904
Biometric Standards, Performance and Assurance Laboratory, Purdue University, Department of Technology, Leadership and Innovation, West Lafayette, IN, USA4
University of Illinois at Urbana-Champaign, 61801, USA4
Institute of Systems and Robotics (ISR), University of Coimbra, Portugal4
University of Electronic Science and Technology of China (UESTC), Chengdu, China4
School of Computer Science, Communication University of China, Beijing, 100024, China4
Carnegie Mellon University, Robotics Institute, Pittsburgh, Forbes Avenue 5000, PA, 15213, USA4
Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen4
College of Electronics and Information Engineering, Sichuan University, Chengdu, China4
ChaLearn, California, USA4
School of ITEE, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia4
University of Waterloo, Waterloo, Canada4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China4
Institute of VLSI Design, Zhejiang University, Hangzhou, China4
Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
EPFL, Lausanne4
Technische Universitat Muenchen, Garching bie Muenchen4
School of Electronic and Electrical Engineering, Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques, GT036001 Shanghai, China4
Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom4
Institute of Imaging and Computer Vision, RWTH Aachen University, 52056 Aachen, Germany4
National Laboratory of Pattern Recognition, CASIA, University of Chinese Academy of Sciences, Beijing, 100049, China4
ISIR, CNRS UMR 7222, Universite Pierre et Marie Curie, Paris4
Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan4
Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, Shanghai 200240, China4
School of Computing Sciences, University of East Anglia, Norwich, U.K.4
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 60094
University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, ON, Canada, M5S 3G44
Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China4
Institute of Mathematics and Statistics, University of São Paulo, Brazil4
Queen's University Belfast, Belfast4
Dept. of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra4
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China4
Communication Systems Group Technische Universita¨t Berlin4
Queensland University of Technology4
College of Computer Science and TechnologyZhejiang University4
SRI International, Menlo Park, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China4
School of Computer Science and Engineering, South China University of Technology, China4
School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt-Pakistan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 1008764
University College Dublin, Dublin, Ireland4
Department of Automation and Key Laboratory of China MOE for System Control and Information Processing, Shanghai Jiao Tong University4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University4
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, 27695-7911, USA4
Politecnico di Torino, DAUIN, Italy4
School of Engineering, RMIT University, Melbourne, Australia4
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam4
Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon4
I3B, Universitat Politècnica, Instituto de Investigación e Innovación en BioingenierÍa, de València Camino de Vera s/n, Valencia, 46022, Spain4
Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain4
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China4
Institute for Computer Graphics and Vision, Graz University of Technology, Austria4
Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, Korea4
Northeastern University, China4
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong4
ICT-ISVISION Joint R&D Lab. for Face Recognition, Beijing, China4
Intelligent Systems Lab, University Carlos III de Madrid, Leganés, Spain4
Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, 710049 P. R. China4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China4
Department of Computer Science and Electrical Engineering, University of Missouri at Kansas City, Kansas City, Missouri, 641104
School of Electrical Engineering and Automation, Anhui University, Hefei, China4
University of Otago, Dunedin, New Zealand4
LCSEE, West Virginia University, Morgantown, WV, USA4
AGT International, Darmstadt, Germany4
University of Texas at Austin4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Department of Electrical Engineering, University of Science and Technology, Tehran, Iran4
China University of Petroleum (East China), College of Computer & Communication Engineering, No. 66, Changjiang West Road, Huangdao District, Qingdao, China, 2665804
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan4
University College London4
School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shang Yuan Cun, Hai Dian District, China4
Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA4
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, 115 Taiwan4
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China4
Institute of Image Communication and Network Engineering, Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China, 2002404
Xidian University, Xi’an, China4
Department of Electrical Engineering, Jadavpur University, Kolkata, India4
Yonsei University, Seoul, Korea4
Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain4
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, 90089, USA4
University of California at Merced, USA4
Computer Vision Group, Friedrich Schiller University of Jena, Germany4
School of Electrical Engineering and Informatics, Institut Teknologi Bandung4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijng, China4
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China4
Beijing Institute of Technology, Beijing, China4
Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 145804
Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany4
Department of Electrical and Computer Engineering, University of Auckland4
University of Maryland, College Park, Maryland 20740 United States4
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China4
Dept. of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India4
University of Cambridge, Cambridge, United Kingdom4
Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Idiap Research Institute - CH-1920, Martigny, Switzerland4
Electrical and Computer Engineering Department, University of Nevada, Las Vegas, 89154, USA4
Max Planck Institute for Biological Cybernetics4
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, USA4
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, China4
The key laboratory of Integrated Microsystems, Shenzhen Graduate School, Peking University, China4
Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey4
National University of Defense Technology, Changsha, Hunan, China4
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, China, 4100734
Department of Computer Science and Technology, Ocean University of China, China4
South China Normal University, guangzhou, China4
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan4
Dept. of Inf. Technol., Turku Univ., Finland4
Graz University of Technology4
University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia4
Department of Electronics Engineering, Kookmin University, Seoul, Korea4
Heilongjiang University, Harbin, China4
Department of Electrical and Computer Engineering, Clemson University, SC 29634, USA4
Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany4
School of Electrical Engineering, Tel-Aviv University, Israel4
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney, Playa, Havana, Cuba4
Çoğulortam İşaret İşleme ve Örüntü Tanıma Grubu, İstanbul Teknik Üniversitesi, İstanbul, Türkiye4
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India4
University of California, Berkeley, USA4
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China4
School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China4
Dalian University of Technology, Dalian, Liaoning, 116024, China4
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS4
University of Sydney, Australian Centre for Field Robotics (ACFR), NSW, Australia4
Dept. of Computer Engineering, Keimyung University, Daegu, Korea4
School of Computer Science, Fudan University4
School of Computer Science, Reykjavik University, Reykjavík, Iceland4
Department of Cognitive Science, Xiamen University, Xiamen, Fujian, China4
School of Computer Science, National University of Defense Technology, Changsha, China4
Shandong University, Jinan, China4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China4
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia4
Air Force Research Lab, USA4
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany4
DIEF, University of Modena and Reggio, Modena, 41125, Italy4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences4
Centre for Development of Advanced Computing, Mumbai, India4
EECS Department, University of Kansas, Lawrence, KS4
Department of Computer Science, University of Colorado at Colorado Springs4
AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine & School of Computer and Information, Hefei University of Technology, 230009, China4
Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China4
University of Malta, Msida, Malta4
The University of Western Australia, Crawley, WA, Australia4
Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan4
The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK4
Dept of Electrical and Computer Engineering, University of Calgary, Calgary, CANADA4
Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy4
School of Automation, China University of Geosciences, Wuhan, 430074, China4
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
School of Electronics and Information Engineering, Tongji University, Shanghai, China4
Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China4
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China4
Department of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China4
USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 2300274
School of Mechatronic Engineering, UniMAP, Malaysia4
School of Electrical Engineering, Kookmin University, Seoul, Korea4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu 804-8550, Japan4
Smart Grid Energy Research Center (SMERC), University of California, Los Angeles, Los Angeles, California, USA4
Department of Computer Science and Information Engineering, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan4
Tsinghua University, Shenzhen, China4
LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco4
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea4
114
104
School of Engineering, RMIT University, Victoria 3083, Australia4
Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong4
Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, ISRAEL4
Department of Computer Science, Dartmouth College, Hanover, NH4
Ghent University, Ghent, Belgium4
Department of Computer Science, The University of North Carolina at Chapel Hill, USA4
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, Anhui, China4
State University of New York at Binghamton, Binghamton, NY4
Beijing Normal Univeristy, Beijing, China4
University of Southampton, Southampton, United Kingdom4
Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina Del Rey, 90292, USA4
College of Computer and Information, Hohai University, Nanjing, China4
Technische Universität Berlin, Germany4
Image Processing and Analysis Laboratory (LAPI), University “Politehnica” of Bucharest, Romania4
College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, China4
Shenzhen University, School of Computer Science and Software, Shenzhen, P.R. China4
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China4
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovakia4
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China4
Department of Engineering Science, University of Oxford, UK4
Department of Computer Engineering, Rochester Institute of Technology, NY, USA4
School of E.C.E., National Technical University of Athens, Greece4
The Image Processing and Analysis Lab, Politehnica University of Bucharest, Bucharest, Romania4
“Gheorghe Asachi” Technical University, Iaşi, Romania4
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China4
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, 100084, China4
Institute of Automation, Chinese Academy of Sciences, National Lab of Pattern Recognition4
Mechanical & Nuclear Engineering Department, Pennsylvania State University, University Park, 16802, USA4
Samsung Electronics, Korea4
College of Information System & Management, National University of Defense Technology, Changsha, China4
School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China4
Department of Electrical Engineering, Korea University, Anam-Dong, Sungbuk-Ku, Seoul, 136-713, Korea4
Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K4
Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia4
Dept. of CS&IT, Mirpur University of Science & Technology (MUST), Azad-Kashmir, Pakistan4
Beckman Institute, Uni. of Illinois at Urbana-Champaign, Urbana, 61801, USA4
Department of Information and Technology, University of Science and Technology of China, Hefei, China4
Dept. of Computer Science and Technology, State Key Lab. of Intelligent Technology and Systems, Tsinghua National Lab. for Information Science and Technology, Tsinghua University, Beijing, China4
College of Information Science and Technology Beijing Normal University, Beijing, China4
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.4
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia4
State Key Lab. LIESMARS, Wuhan University, 430079, China4
Da/Sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany4
University of São Paulo, São Carlos, Brazil4
Intelligent and Distributed Computing Laboratory, the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China4
The Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic4
Institute for Computer Research (University of Alicante).4
School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China4
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.4
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, ...4
Yunnan Normal University, College of Information Science, Kunming, China4
Center for Automation Research, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA4
Department of Electronic Engineering, Graduate school at Shenzhen, Tsinghua University, China4
Florida Atlantic University, I-SENSE4
Department of Electronic Engineering, the Chinese University of Hong KongHong Kong4
Department of Electronic and Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea4
Center for Cognitive Ubiquitous Computing (CUbiC) Arizona State University4
Harbin Institute of Technology Shenzhen Graduate School, China4
Saitama Institute of Technology, Kogakuin University, Japan4
Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia4
Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia4
Department of Computer Science, Stanford University4
IDIAP, Martigny, Switzerland4
Princeton University, USA4
LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada4
Shaanxi Provincial Key Laboratory of Speech & Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, P. R. China4
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana4
Philips Research, Eindhoven, Netherlands4
Computer Vision Laboratory, Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000, Slovenia4
School of Computer Science & Technology, Nanjing University of Science and Technology, China4
INRIA 2004 Route des Lucioles, BP 93,06902, Sophia Antipolis, France4
Center for Research in Intelligent Systems, University of California Riverside, 92521, US4
Department of Electronic Measuring systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia4
Chubu University, Kasugai, Aichi, Japan4
School of Computer Science and Software Engineering, The University of Western Australia 35 Stirling Highway, Crawley 6009, Western Australia, Australia4
Multimedia University, Melaka, Malaysia4
Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia4
School of Data and Computer Science, Sun Yat-sen University, China4
Department of Electronics Engineering, Graduate School at Shenzhen, Tsinghua University, China4
School of Electronic Engineering and Computer Science, Peking University, Beijing, China4
Korea University, School of Electrical Engineering, Seoul, Republic of Korea4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Tokyo Institute of Technology4
Department of Clinical, Educational & Health Psychology, University College London, London, Unithed Kingdom4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China4
KULeuven, Leuven, Belgium4
Control Methods & Robotics Lab, TU Darmstadt, Germany4
National University of Defense Technology University, College of Intelligent Science, Changsha, China4
Fujitsu Research & Development Center CO., LTD., Beijing, P. R. China4
Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland4
SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands4
INRIA Grenoble Rhone-Alpes, FRANCE4
NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical, University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu, Xi’an, 710072, China4
Department of Electrical Engineering, Indian Institute of Technology, Kanpur4
University of Oulu, Machine Vision Group, PO Box 4500, 90014, Finland4
School of Information Science & Engineering, Lanzhou University4
IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil4
Brigham Young University, Electrical and Computer Engineering, Provo, UT4
School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea4
Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France4
Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia4
Department of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan4
Vicarious Perception Technologies, Amsterdam, The Netherlands4
Fujian Provincial Key Laboratory for Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University Fujian, Fuzhou 350007, China4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China4
IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India4
LITIS Laboratory, INSA-Rouen, France4
University of Washington4
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China4
University of Pennsylvania, 3330, Walnut Street, USA4
College of Computer and Information, Hohai University, China4
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA4
The University of Texas at Dallas, Richardson, TX, USA4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK4
MIT, Cambridge, MA, USA4
IDIAP Research Institute, Martigny, Switzerland4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
Universiti Kuala Lumpur, Kuala Lumpur4
Departments of Computer Science, Electrical and Computer Engineering and Biomedical Engineering, University of Houston, USA4
Institute for Computer Graphics and Vision, TU Graz, Austria4
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China, 5106414
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand4
BIWI, ETH Zurich4
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
School of Computer Science, South China Normal University4
Department of Computer Science and Engineering, University of Nevada, Reno, USA4
IBM T. J. Watson Research Center, Hawthorne, NY, USA4
Learning Affect & Semantic Imaging Analysis Group, Indian Institute of Technology Ropar4
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia4
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. of Tech., Bangalore-560054, India4
Department of Communications Engineering, Feng Chia University, Taichung, Taiwan4
Department of Computer Science, Zhejiang University, Hangzhou, China4
Università degli Studi dell'Insubria, Varese, Italy4
University of Miami, Coral Gables, FL4
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey4
Univ. Orléans, INSA CVL, PRISME EA 4229, Bourges, France4
School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore4
School of Computer Science University of Hertfordshire United Kingdom4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic4
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia4
School of Information Engineering, Zhengzhou University, China4
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya (PENS), Kampus PENS, Jalan Raya ITS Sukolilo, Surabaya, 60111, Indonesia4
DII, University of Brescia, Brescia, Italy4
Army Research Laboratory, Computational and Information Sciences Directorate4
German Research Center for Artificial Intelligence, Kaiserslautern, Germany4
Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, Wireless Information Network Laboratory, University of Science and Technology of China, Hefei, China4
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China4
University of Chinese Academy of Sciences, School of Engineering Sciences4
University of Augsburg, Augsburg, Germany4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China4
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China4
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany4
College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan4
Institution of Intelligent Systems, College of Computer Science, Zhejiang University of Technology, Hangzhou, China4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
Graduate University, Chinese Academy of Sciences, Beijing, China4
Institute of Computing Techonology, Chinese Academy of Sciences, Beijing, China4
Sharp Laboratories of America, Camas, WA4
University of California, Los Angeles4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
Department of Electrical and Computer Engineering, Center for Automation Research, University of Maryland, College Park, USA4
Institute of Computer Science and Technology, Peking University, Beijing, China, 1008714
School of Communication and Information Engineering, Shanghai University4
Australian National University4
ISTI-CNR, Via G.Moruzzi, Italy4
College of Automation, Harbin Engineering University, 150001, China4
State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China4
State Key Laboratory of Robotics and System, Harbin Institute of Technology, China, 1500804
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan4
National Chiao Tung University, Hsinchu, Taiwan4
Department of Geography Information Science, School of Geography Science4
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia4
Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain4
National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 152014
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, Singapore4
Department of Electrical and Computer Engineering4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia4
College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia4
Department of Informatics, University of Oslo, Oslo, Norway4
University of São Paulo, São Paulo, Brazil4
School of Electronics, Electrical and Computer Engineering, University of Birmingham, Birmingham, U.K.4
North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, United States of America4
Microsoft AI & Research4
School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China4
Peking University, Beijing, P.R. China, 1008714
State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control and the Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou, China4
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany4
Department of Computer Science, University of Verona, Italy4
The City College, City University of New York, New York, NY, USA4
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea4
School of Data Science and Software Engineering, Qing Dao University, Qingdao, China4
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea4
Aalborg University, Denmark4
Faculty Of Information Technology, Beijing University of Technology Beijing 100124, China4
Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France4
Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany4
Eindhoven University of Technology, Eindhoven, The Netherlands4
School of Communication & Information Engineering, Shanghai University, Shanghai, China4
Intel Labs, Hillsboro, Oregon, USA4
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, China4
Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil4
State University of New York at Binghamton, Binghamton, NY, USA4
CEA LIST, Gif-sur-Yvette, France4
University of California, Riverside, CA-92521, USA4
College of Engineering and Design, Hunan Normal University, Changsha, 4100814
Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France4
School of Information Engineering, University of Science and Technology Beijing, Beijing, China4
Faculty of Electrical Engineering, University of Ljubljana, Slovenia4
Faculty of Computer and Information Science, University of Ljubljana, Slovenia4
The University of Texas at Austin Austin, Texas, USA4
Graduate School of Information Science, Nagoya University, Nagoya, Aichi, Japan4
Computer Vision and Remote Sensing (CVRS) Lab, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, P.R. China4
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China4
University of Alberta, Edmonton, AB, Canada4
Department of Computer Science and Engineering, University of Notre Dame4
Research Center of Intelligent Transportation Systems, School of Engineering, Sun Yat-sen University, Guangzhou Guangdong 510006, China4
Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany4
Department of Computer Science, George Mason University, Fairfax, USA4
Nankai University, Tianjin, China4
Chongqing Key Laboratory of Software Theory & Technology, College of Computer Science, Chongqing University, China4
Microsoft Research, Redmond4
School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK4
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway4
University of Minnesota, Minneapolis4
Convergent SoC Research Center, Korea Electronics Technology Institute, #68 Yatap-dong, Bundang-gu, Seongnam-si, Republic of Korea4
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China4
University of Texas at Arlington, Arlington, TX4
Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi, China4
Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany4
Department of Computer Science, University of Northern British, Columbia Prince George, BC, Canada4
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA; U.S.A.4
Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan4
Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt4
Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao4
Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences4
School of Automation, Southeast University, Nanjing, China, 2100964
Intelligent Systems Lab, Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada4
VisionLab - Computer Vision Laboratory4
Accenture Technology Labs, Chicago, IL4
Department of Informatics, Aristotle University of Thessaloniki, BOX 451, 54124, Greece4
Goa University, India4
Microsoft Research Cambridge, UK4
Max Planck Institute for Informatics, Saarland Informatics Campus, Germany4
Multimedia University, Malaysia4
Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia4
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil4
College of Electrical Engineering and Computer Science, National Taiwan University, Taiwan4
The Courant Institute of Mathematical Sciences, New York University, 715 Broadway, 10003, USA4
College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China4
West Virginia University, USA4
Electrical and Information Engineering, Hunan University, Changsha, China4
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China4
Mathematical Modelling Research Group, Universidad EAFIT, Colombia4
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K.4
University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy4
University of Kaiserslautern, Kaiserslautern, Germany4
Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye4
University of Kentucky, USA4
Department of Computer Science, University of British Columbia, Vancouver, Canada4
CVSSP, FEPS, University of Surrey, Guildford, GU2 7XH, United Kingdom4
Interactive Media Lab, Keio University, Japan4
Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan4
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan4
Cornell Tech, USA4
Academia Sinica, Institute of Information Science, Taipei, Taiwan4
Image and Video Systems Lab, School of Electrical Engineering, KAIST, South Korea4
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China4
Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands4
Digital Imaging Research Centre, Kingston University, U.K.4
Stanford University, Stanford, CA4
Microsoft Research Cambridge, Cambridge, UK4
Center for Automation Research, University of Maryland, College Park, MD, USA4
MBRDNA, Sunnyvale, USA4
Faculty of Engineering, Shinshu University, Japan4
Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania4
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China4
Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA4
Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China4
University of California, Merced, CA4
Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A.4
Institute for Infocomm Research, A*STAR, Singapore4
Comnuter Science Department, Hong Kong Baptist University4
CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France4
University of Illinois Urbana-Champaign, Urbana, IL, USA4
Courant Institute of Mathematical Sciences, New York University, USA4
Department of Electrical Engineering, Rochester Institute of Technology, Rochester, NY4
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India4
Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China4
INRIA, Sophia Antipolis, France4
Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India4
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049 Madrid, Spain4
University of British Columbia, Vancouver, Canada4
School of Electrical Engineering, Korea University, Seoul, Korea4
Perception and Intelligence Lab, Department of Electrical and Computer Engineering, ASRI, Seoul National University, South Korea4
Faculty of Computer Science, University of Freiburg, Freiburg, Germany4
National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand4
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China4
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China, 1000444
Stanford University in the Computer Science department4
Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN4
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China4
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK4
Open Lab, School of Computing, University of Newcastle, Newcastle upon Tyne, U.K.4
School of Electronics Engineering and Computer Science, Peking University, Beijing, China4
Dept. of Cognitive Science, Xiamen University, Fujian, China, 3610054
Institute for Aerospace Studies, University of Toronto, Canada4
Department of Electronic Engineering; National Taiwan University of Science and Technology4
College of Mechatronic Engineering and Automation, National University of Defense Technology4
Department of Informatics, Aristotle University of Thessaloniki4
Media Integration and Communication Center - University of Florence, Italy4
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Google Brain4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China4
Auckland University of Technology, Auckland 1010 New Zealand4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
National Taiwan Normal University, Taipei, Taiwan Roc4
Robotics, Perception and Learning Lab, KTH Royal Institute of Technology, Stockholm, Sweden4
Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt4
Graduate School of Information Science, Nagoya University4
Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan4
School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China4
School of Electronic Engineering, Xidian University, Xian, China4
Department of Computer Science, The University of Liverpool, UK4
Department of Environment Perception, Daimler AG, Böblingen, Germany4
Department of Engineering, University of Perugia, Italy4
Department of Transportation Engineering, Beijing Institute of Technology, 100081, China4
Korea University4
Key Laboratory of Machine Perception, Peking University, Beijing, China4
School of EECS, Queen Mary University of London, UK4
VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain4
School of Computer Science and Technology, Zhejiang University, China4
Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China4
Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan4
Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany4
University of California, Santa Barbara4
Faculty of Computer Science, Universitas Indonesia, Indonesia4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan4
University of Missouri, Columbia, MO 652114
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China4
Bogazici University, Turkey4
Universidad de Vigo, Vigo4
Institute of Digital Media, School of Electronic Engineering and Computer Science, Peking University, Beijing, China4
Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain4
Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand4
Griffith University4
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
School of Electronic and Computer Engineering, Peking University4
Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA, USA4
Computer Science and Engineering Department, Amity University Uttar Pradesh, Noida, India4
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China4
Zenith Team, INRIA, LIRMM, Montpellier, France4
Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil4
Samsung R&D Institute, Bangalore, India4
School of Electronic & Information Engineering, South China University of Technology, China4
Yaroslavl State University, Yaroslavl, Russia4
Computer Human Interaction for Learning and Instruction (CHILI) Lab, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland4
Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway4
Aristotle University of Thessaloniki, Thessaloniki, Greece4
Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong4
Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA4
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China4
TSC Department, University of Vigo, Spain4
Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain4
Sapienza University of Rome, Rome, Italy4
Open University of Catalonia, Barcelona, Spain4
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing city, Jiangsu, China4
Computer Science and Engineering Department, University of South Florida, Tampa, FL, USA4
NICTA and Australian National University4
Dept. of Automation, Tsinghua University, 100084, Beijing, China4
La Trobe University, Australia4
Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China4
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany4
Chubu University, Japan4
Qingdao Academy of Intelligent Industries, 266109, China4
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China4
Center for Reasearch on Intelligent Perception and Computing, CASIA, China4
Hewlett Packard Labs4
University of Utah4
School of Computer Science, China University of Geosciences, Wuhan, China4
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences4
Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India4
State Key Laboratory for Software Engineering, Wuhan University, Wuhan, 430079, China4
Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India4
Advanced Digital Sciences Center, Singapore, Singapore4
Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA4
Johns Hopkins University, Baltimore, USA4
CNIT, Italy4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Center for Machine Vision and Signal Analysis (CMVS), Oulu, Finland4
ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France4
University of Trento4
Dept. of Signal Processing, Tampere University of Technology, Finland4
Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA4
National ICT Australia and UNSW, Sydney, Australia4
Institute for Creative Technologies, University of Southern California4
Toyota Central R&D Laboratories, Inc., Nagakute, Japan4
School of Computer Engineering, Nanyang Technological University, Singapore, 6397984
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China4
University of Southern California, Los Angeles, California4
School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China4
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea4
Department of Information and Software Engineering, University of Electronic Science and Technology of China, ChengDu, 610000, China4
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada4
Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence Beijing National Research Center for Information Science and Technology, BNRist Lab Tsinghua University, 100084, China4
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.4
School of Computer Science and Engineering, Beihang University, Beijing 100191, China4
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China4
Center for Interdisciplinary Information Science Research, Zhengzhou University, Zhengzhou, China4
Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece4
Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-357084
Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA4
Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan4
School of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, SEOUL, Republic of Korea4
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
Institute of Information Technology, University of Dhaka, Bangladesh4
School of Information Science and Engineering, Southeast University, Nanjing, 210096, P.R. China4
RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil4
School of Information and Engineering, Minzu University of China, Beijing 100081, China4
Massachusetts Institute of Technology, Cambridge4
School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China4
Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France4
College of Computer Studies, Silliman University, Philippines4
Department of Technology College of Engineering and Technology, Virginia State University, Petersburg, VA, USA4
Institute for Infocomm Research, Singapore, Singapore4
Indian Institute of Information Technology Chittoor, Sri City, A.P., India4
Communication Networks Institute (CNI) Dortmund University of Technology, Germany4
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China4
School of Artificial Intelligence, Xidian University, Xi'an, 710071, China4
Department of Computer Science, City University of Hong Kong, Hong Kong, China4
Carnegie Mellon University, The Robotics Institute, 5000 Forbes Avenue, Pittsburgh, PA, USA4
Department of Computer Science, Edge Hill University, Ormskirk, Lancashire, L39 4QP, UK4
School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India4
SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France4
College of Electronics & Information Engineering, Tongji University, Shanghai, 201804, China4
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan4
Institute of Cyber Intelligence Systems, National Research Nuclear University “MEPhI”, Moscow, Russia4
Massachusetts Institute of Technology, Cambridge, MA4
College of Automation, Harbin Engineering University, Harbin, 150001, China4
School of Information Science and Technology, University of Science and Technology of China, Hefei, China4
University of Southampton, UK4
Department of Electrical and Computer Engineering, George Mason University4
School of Electrical Engineering, KAIST, Daejeon, South Korea4
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, United Kingdom4
Sabancı Üniversitesi, Turkey4
Lawrence Livermore National Laboratory, Livermore, CA, USA4
Yahoo Labs, San Francisco, CA, USA4
Dept. Engineering Science, University of Oxford, Oxford Robotics Institute, UK4
University of Oxford, UK4
University of Colorado Boulder, Boulder, CO, USA4
Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria4
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China4
Department of Computer Science, University of York, York, UK4
Intelligent Sensing and Communications Research Group, Newcastle University, UK4
Media Integration and Communication Center - University of Florence4
Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA4
College of Information Science and Engineering, Northeastern University, Shenyang, China4
Hampshire, United Kingdom4
Computer Vision Lab, UMIACS, University of Maryland, College Park, College Park, 20740, USA4
School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland UK4
Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria4
University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA4
Technical University of Cluj-Napoca4
Department of Computer Science, Mangalore University, India4
IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil4
Leiden University, Leiden, Netherlands4
TNO, The Hague, Netherlands4
College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China4
Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal4
HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam4
Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland4
Delft University of Technology4
Computer Science Department, Reutlingen University, Cognitive Systems Group, Germany4
Department of Information Engineering, University of Brescia, Via Branze, 38 - 25123, Italy4
School of Software, Beijing Institute of Technology, Beijing, China4
Distributed and Collaborative Virtual Environments Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
Visual Computing Group, Microsoft Research Asia, Beijing, China4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
College of Computer, National University of Defense Technology, China3
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China3
Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangdong Engineering Research Center of Data Security and Privacy Preserving, College of Information Science and Technology, Jinan University, Guangzhou, China3
Institute of Computing, State University of Campinas, Campinas, Brazil3
Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn3
Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)3
University of Maryland College Park, MD, 207403
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain3
Leibniz Universität Hannover, Hanover, Germany3
Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia3
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, Wuhan 430072, China; Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan 430072, China; Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China3
Innovation Lab, Tata Consultancy Services, New Delhi, India 2013013
German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany3
Chubu University Aichi, Japan3
Jiangsu Province Key Laboratory on Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing, China3
Department of Computer Science, The University of Hong Kong, Hong Kong, P.R. China3
KTH Royal Institute of Technology, 100 44 Stockholm, Sweden3
Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Tao-Yuan, Taiwan3
Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR 7222, F-75005, Paris, France3
School of Automation, Southeast University, Nanjing, China and Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China3
Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, 768009, India3
Intel Corporation, Hillsboro, OR, USA3
CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
School of Computer Science and Software Engineering, The University of Western Australia, Australia3
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, Shanghai Key Laboratory of Digital Media Processing and Transmissions, Shanghai, China3
Face Aging Group, UNCW3
Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada3
Universidade Nova Lisboa, Monte de Caparica, Portugal3
Department of Computer and Information Sciences, University of Delaware, Newark, DE 19716, USA3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, 100191, Beijing, China3
Universidad del País Vasco (UPV-EHU), Donostia-San Sebastián, Spain3
Pattern Recognition and Intelligent Systems Laboratory, Beijing University of Posts and Telecommunications, Beijing, China3
Department of Computer Science, Graphic Era University, Dehradun, India3
Politecnico di Torino, DAUIN, Torino, Italy3
The State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang Province, China3
Technische Universität München, Germany3
Department of Mathematics and Informatics, University of Florence, Florence, Italy3
Signals and Images Laboratory, University of USTOMB, Oran, Algeria3
Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China3
ModiFace Inc., Toronto, Canada3
Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Intel Corporation, Bangalore, India3
Intel Corporation, Nice, France3
School of Computer and Control Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China3
Department of Computer Science and Engineering, University of Bologna, Via Sacchi, 3- 47521, Cesena, Italy3
MIT, USA3
Valeo.3
Computer Science, Loughborough University, United Kingdom3
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, 21250, USA3
Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain3
Department of Informatics, Technische Universität München, München, Germany3
Universidade Nova Lisboa, Lisboa, Portugal3
Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India3
Department of Electrical and Computer EngineeringCyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
National University of Defense Technology3
State Key Laboratory on Intelligent Technology and Systems, TNList, Department of Automation, Tsinghua University, Beijing, China, 1000843
Institute of Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany3
Artificial Vision Laboratory, National Taiwan University of Science and Technology3
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China3
ECE Department, Learning and Vision Laboratory, National University of Singapore, Singapore3
Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia3
University of Texas at Arlington, Arlington, Texas3
Multimedia Lab, The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Canada3
Università di Firenze - Italy3
Vision for Robotics Lab, ETH Zurich, Switzerland3
Department of Media Technology, Linnaeus University, Vaxjo, Sweden3
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, The Netherlands3
E-Comm Research Lab, Infosys Limited, Bangalore, India3
Korea Advanced Institute of Science and Technology, School of Electrical Engineering, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea3
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China3
College of Engineering, Huaqiao University, Quanzhou, Fujian, China3
Robotics Research Center, International Institute of Information Technology, Hyderabad, India3
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan3
School of Electronic Engineering, Xidian University, Xian, Shaanxi, 710071, China3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
PARADISE Research laboratory, DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada3
PLA University of Science and Technology Nan Jing, China3
Rutgers, The State University of New Jersey, Piscataway, NJ, 088543
Microsoft Research Cambridge3
DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany3
School of Electrical and Computer Engineering, Shiraz University, Iran3
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences3
Istituto Italiano di Tecnologia (IIT) - Via Morego 30, 16163, Genova, Italy3
Honda Research Institute Europe, Offenbach, Germany3
School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China3
National Institutes of Health, Bethesda, Maryland 208923
College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, China3
Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
Department of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China3
Department of Computer Science, Computational Biomedicine Laboratory, University of Houston, Houston, TX, USA3
School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China3
Yunnan University, School of Software, Kunming, China3
Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus3
AEOP UNITE, Las Vegas, Nevada3
University of Nevada-Las Vegas, Las Vegas, Nevada3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
Department of Computer Science, University of Geneva, Switzerland3
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA3
Ghent University TELIN-IPI-IBBT, Sint-Pietersnieuwstraat 41, 9000, Belgium3
The State Key Laboratory of ISN, School of Electronic Engineering, Xidian University, Xi'an China3
STARS, INRIA Sophia-Antipolis, France3
FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany3
Hangzhou Dianzi University, School of Communication Engineering, Hangzhou, China3
School of Electronic Engineering / Center for Robotics / Center for Information in Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, USA3
Department of Computing, Curtin University, Perth WA, Australia3
SUNY Buffalo3
School of Engineering Technology, Purdue University, West Lafayette, IN, 47907, USA3
Harbin Institute of Technology, Harbin, P. R., 150001, China3
Department of Computer Science and Engineering, Michigan State University, East Lansing 48824, USA3
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan Province, China3
Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India-7810393
College of Automation, Nanjing University of Posts and Telecommunications, 210023, China3
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Universität Autònoma de Barcelona3
CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France3
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil3
Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt3
Wuhan Univeristy, Wuhan, China3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy3
Wisimage, Université Clermont-Auvergne3
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, P. R. China3
Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, Chinese Academy of Sciences, China3
Data Science Research Laboratories, NEC Corporation, Japan3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France3
Electronic and Electrical Engineering Department, University College London, London, U.K.3
Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A.3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
School of computer Science & Engineering, South China University of Technology, Guang Zhou, China3
School of Electrical Engineering, University of Belgrade, 11120 Belgrade, Serbia3
Research unit on Intelligent Control, design and Optimization of complex Systems (ICOS), University of Sfax, Sfax Engineering School3
Alibaba-Zhejiang University, Joint Research Institute of Frontier Technologies(AZFT), Zhejiang University, Hangzhou, 310027, China3
School of Life Sciences, University of Technology, Sydney, Australia3
Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea3
Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 123093
Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA3
Faculty of Mechanical, Maritime and Material Engineering BioRobotics Lab, Delft University of Technology, 2628 CD, The Netherlands3
The University of Newcastle, NSW, Australia3
Department of Industrial Systems Engineering and Management, Sembcorp-NUS Corporate Laboratory, Faculty of Engineering, National University of Singapore, Singapore3
EEIS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System3
PARADISE Research Lab, University of Ottawa, Canada3
Department of Telecommunication, Brno University of Technology, Brno, Czech Republic3
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa3
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA3
School of Computer and Information technology, Beijing Jiaotong University, China3
Institute of Information and Control, Nanjing University of Information Science and Technology3
Global Big Data Technologies Centre, University of Technology, Sydney, Australia3
University of Central Lancashire, Preston, U.K.3
iCV Research Group, Institute of Technology, University of Tartu, Estonia3
MIT Computer Science and Artificial Intelligence Laboratory, 32 Vassar Street, Cambridge, MA 021393
ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK3
Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China3
State Key Laboratory Integrated Services Networks, Xidian University, Xi’an, China3
Dept. of Control Science & Engineering, Tongji University, Shanghai, China3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast3
Department of Computer Science, The University of York, UK, YO10 5DD3
UCL Interaction Centre University, College London London, United Kingdom3
Mepco Schlenk Engineering College, Sivakasi, Virudhunagar, India3
Institute for Systems Biology, Seattle, WA, USA3
Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA3
Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil3
Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France3
Department of Computing, Curtin University, Perth WA 6102, Australia3
Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia, Genova, Italy3
Graduate School of Information, Production and systems, Waseda University, Fukuoka, Japan3
Research School of Engineering, Australian National University, Australia, NICTA, Canberra Research Laboratory, Australia3
Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea3
Department of Engineering Science, Active Vision Laboratory, University of Oxford, U.K.3
Department of Computer Science and Engineering, Seoul National University, Korea3
Computer Vision Lab., INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China3
Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco3
Electrical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011033
University of Aizu, Aizuwakamatsu, Japan3
Department of Automation, Xiamen University, Fujian Province, China, 3610053
Dept. of Electronic and Computer Engineering, National Taiwan University, Taipei, Taiwan3
Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany3
Institute of Software, Chinese Academy of Sciences, Beijing, China3
Department of System Cybernetics, Robotics Laboratory, Hiroshima University, Hiroshima, Japan3
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA3
Department of Automation, Transilvania University of Brasov, Romania 5000243
Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, P. R. China3
LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria3
Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye3
Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA3
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 570013
Informatics Institute University of Amsterdam, Amsterdam3
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xian, China3
CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary3
Illinois Institute of Technology, Dept. of Electrical and Computer Engineering, USA3
Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea3
Gwangju Institute of Science and Technology, South Korea3
College of Information Science & Electronic Engineering, Zhejiang University, China3
College of Information and Control Engineering, China University of Petroleum(East China), Qingdao, China3
Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy3
The Australian Center for Visual Technologies, The University of Adelaide, Australia3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea 680-7493
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P.R. China3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, P. R. China3
Institute for Infocomm Research, 1 Fusionpolis Way, #21-01, Connexis Singapore 138632, Singapore3
Institute of Information Science, Beijing jiaotong University, Beijing, China3
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China3
Perception and Activity Understanding Group, Idiap Research Institute, Martigny, Switzerland3
University of Firenze, via S. Marta 3, 50139, Italy3
Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India3
Language Technology Institute, Carnegie Mellon University, USA3
Computer Vision Laboratory - ETH Zurich3
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea3
DISI, University of Trento, Italy3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy3
School of Electrical Engineering, Korea University, Seoul, Republic of Korea3
1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan3
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, New Zealand3
Department of Computer Science, Rutgers University, New Brunswick, NJ, USA3
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China3
Department of Computer Science, Xi'an Polytechnic University, China3
University of Texas at Arlington, 701 S. Nedderman Drive, TX 76013, USA3
Bosch Corporate Research, Stuttgart, Germany3
Indian Institute of Technology Kharagpur, Kharagpur, India - 7213023
Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan3
Compiègne University of Technology3
EPFL3
School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Shaanxi Province, China3
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia3
Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Visual Analysis of People, Aalborg University, Aalborg, Denmark3
Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco3
Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan3
The University of Texas at Arlington, 701 S Nedderman Drive, USA3
School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China3
Department of Computer Science, Zhejiang Normal University, China3
Department of Computer Science, Tomsk Polytechnic University (TPU), Tomsk, Russia3
Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 6397983
College of Computer Science, Inner Mongolia University, Hohhot, China3
Multimodal Information Area, GRADIANT, Spain3
Grasp Laboratory, University of Pennsylvania, USA3
Department of Electronic Engineering, School of Engineering, Sogang University, Seoul 04107, Korea3
University of Miami, Department of Electrical and Computer Engineering3
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China3
Indian Institute of Technology, Kharagpur3
Computer Engineering Department, Sharif University of Technology, Tehran, Iran, 14588896943
Department of automation, USTC, Hefei, China3
EElS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, 230026, China3
National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China3
Department of Computer and Information Sciences, University of Delaware, Newark, USA3
RITS Project-Team, INRIA Paris, Paris, France3
Xiamen University3
Cognitive Science department of Xiamen University, China3
CERTH-ITI, Thermi-Thessaloniki, Greece3
NTT Media Intelligence Laboratories, Tokyo, Japan3
Korea Advanced Institute of Science and Technology, School of Electrical Engineering3
Lab of Algorithm for Cognitive Model, School of Computer Science, Fudan University, Shanghai 200433, China3
Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan3
Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China3
Beijing National Research Center for Information Science and Technology (BNRist) Department of Electronic Engineering, Tsinghua University, Beijing, 100084, CHINA3
Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University3
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, 100190, China3
Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia3
Georgia Institute of Technology, Atlanta, 30332-0250, USA3
Laboratory Signals and Images LSI, USTO-MB, B.P. 1505 El Mnaouer, Oran, Algeria3
Information Sciences Institute, Marina Del Rey, CA, USA3
AIT Austrian Institute of Technology, Vienna, Austria3
Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy3
Morpho, Safran Group3
Siegwart are with the Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland3
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil3
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal3
Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria3
ADSPLAB/lntelligent Lab, School of ECE, Peking University, Shenzhen, 518055, China3
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China, 4100733
School of Mechanical Engineeringand and Automation, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China3
Rice University3
Laboratoire de vision et systèmes numériques, Département de génie électrique et de génie informatique, Université Laval, Québec, Canada3
Department of Computer Science, Tennessee State University3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
Intel China Research Center, Beijing, P. R. China3
IE, Chinese University, of Hong Kong, Hong Kong3
Dept. for Environment Perception, Daimler AG, Germany3
Department of Air Electrical Systems, University of Defence, Brno, Czech Republic3
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea3
Computational Vision Group, Department of Computer Science, University of Reading, UK3
School of Automation, Beijing Institute of Technology, Beijing, 100081, China3
Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France3
Jawaharlal Nehru University, New Delhi - India3
Biometrics Engineering Research Center, Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea3
Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea3
University of Delaware, Newark, 19716, USA3
Stony Brook University, Stony Brook, NY 11794, USA3
School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea3
INRIA Grenoble Rhone-Alpes, Grenoble, France3
Department of Computer Science, The University of York, Heslington, UK3
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, 400044, China3
Department of CSE, Amity University, Uttar Pradesh, Sector 125, Noida, India3
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
University of Southern California, Institute of Robotics and Intelligent Systems, USA3
Image and Video Research Lab, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, QLD 4001, Australia3
School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China3
Ecole Centrale de Lyon, LIRIS, Lyon, France3
University of Pennsylvania, Philadelphia, PA 19104, USA3
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain3
Kyushu University, Japan3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
School of Computer Science & Software Engineering, Shenzhen University, China3
The Green Building Materials and Manufacturing, Engineering Research Center of Ministry of Education, Wuhan University of Technology, 430070, China3
South China University of Technology, China3
Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, China3
Department of Electrical and Computer Engineering The University of Texas at Austin3
Hubino Computer Vision & Artificial Intelligence, R&D Lab, Hubino Technologies Private Limited, Chennai, India3
Shenzhen Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China3
School of Electrical Engineering VIT University Vellore, India 6320143
School of Electronic Engineering, University of Electronic Science and Technology of China, ChengDu, SiChuan, China3
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Spain3
United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA3
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070 China3
Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain3
Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia3
Dept. of Signals and Systems, Chalmers University of Technology, Gothenburg, SE-41296, Sweden3
Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France3
Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland3
UCLA, USA3
Inha University, Incheon, South Korea3
HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 5180553
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Vidyalankar Institute of Technology, Mumbai3
German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany3
Australian Centre for Field Robotics University of Sydney, 2006, Australia3
School of Computer Engineering, Nanyang Technological University3
Department of Computer ScienceFace Aging Group Research Laboratory, Institute for Interdisciplinary Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA3
Department of Mathematics, Duke University, U.S.A.3
Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China3
MOE Key Lab for Intelligent Networks and Network Security, School of Electonics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China3
Dept. of Automation Science and Engineering, South China University of Technology, Guangzhou, China3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, PR China3
Biometric Recognition Group—ATVS, Universidad Autonoma de Madrid, Madrid, Spain3
Polytechnique Montréal3
Department of Computer Science, Stanford University, California, USA3
Dipartimento di Ingegneria Industriale e dell'Informazione, Seconda Università degli Studi di Napoli, Aversa (CE), Italy3
Technical University of Iaşi, Faculty of Electrical Engineering3
Information Center of the General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China, Beijing, China3
IBM Research India3
Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China3
Norwegian Biometrics Laboratory, NTNU, Gjøvik, Norway3
Discover Lab, University of Ottawa, USA3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Department of Communications and Computer Engineering, University of Malta, Msida, Malta3
University of Oulu, Finland, Oulu, Finland3
Hardware and Embedded Systems Lab, Nanyang Technological University, Singapore3
Computer Science Department, USTHB, Algiers, Algeria3
MediaTek Inc., Hsinchu, Taiwan3
Center for Automation Research, UMIACS University of Maryland, College Park, MD 207423
Department of Computer Science and Engineering, University of Bologna, Cesena, Italy3
School of Computer Science & Software Engineering, The University of Western Australia3
Department of Telecommunications and SIX Research Centre, Brno University of Technology, Technicka 10, Brno, 61600, Czech Republic3
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovak Republic3
Universität Passau, Passau, Germany3
Computational Biomedicine Lab Department of Computer Science, University of Houston, TX 77396, USA3
Intelligent Systems Lab, University of Amsterdam, Science Park 904, Amsterdam, The Netherlands3
Institute for Human-Machine Communication Technische Universitat Munchen, Germany3
Centre for Quantum Computation & Information Systems, Faculty of Engineering and IT, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia3
Research Institute of Advanced Technology, Akita Prefectural R&D Center, 4-21 Sanuki, Arayamachi, 010-1623, Japan3
Samsung Research Center-Beijing, SAIT China Lab Beijing, China3
Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau3
College of Automation, Harbin Engineering University, Heilongjiang Province, 150001, China3
Dept. School of Information Science and Engineering, East China University of Science and Technology Shanghai, China3
LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France3
EURECOM Sophia Antipolis, France3
LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France3
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38, Hangzhou, 310027, China3
Computer Science Department, Technical University of Cluj-Napoca, Image Processing and Pattern Recognition Group, Romania3
Department of Electrical and Computer Engineering, American University of Kuwait3
GE Global Research3
Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa3
Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China3
National Laboratory Astana (NLA), 53 Kabanbay Batyr Avenue, Astana, Kazakhstan3
School of Science and Technology, Nazarbayev University, 53 Kabanbay Batyr Avenue, Astana, Kazakhstan3
Pohang University of Science and Technology, Pohang3
Machine Vision Group, Computer Science and Engineering Laboratory, University of Oulu, P.O. Box 4500, FI-90014, Oulu, Finland3
IntelliView Technologies Inc., Calgary, AB, Canada3
Department of ECE, Delhi Technological University, Delhi, India3
Department of Electrical and Computer Engineering, Mississippi State University, USA3
MindLAB Research Group, Universidad Nacional de Colombia, Colombia3
Dept. of Information Technology, Madras Institute of Technology, Anna University, Chennai, India3
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada3
National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan3
Guangdong University of Technology, China3
P.G. Department of Computer Science and Engineering, SGB Amravati University, Amravati (M.S.), India3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia3
Department of Computer Science, Vogt-Koelln-Strasse 30, 22527 Hamburg - Germany3
Department of Computer Engineering, Maharashtra Institute of Technology, Kothrud, Pune, India3
Carnegie Mellon University, Pittsburgh, PA 15213, USA3
University Ca' Foscari, Venezia Mestre, Italy3
Department of Computer Science, University of Massachusetts Amherst, Amherst MA, 010033
Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, 166 27 Prague 6, Technická 2 Czech Republic3
CSE, School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India3
Computer Laboratory, University of Cambridge, United Kingdom3
Indian Institute of Technology Delhi, New Delhi 1100163
Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK3
DISI, Università di Genova, Italy3
INRIA Rocquencourt, France3
Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada3
School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, China3
Idiap Research Institute, and the School of Electrical Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), Martigny, Switzerland3
Shenzhen Graduate School, Peking University, China3
Institute of Automotive Engineering, Jiangsu University, China3
Telecom ParisTech, France / University of Paris-Saclay, France3
Center for Research of E-life DIgital Technology (CREDIT), Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Computer Engineering, Kyung Hee University, Yongin, Gyonggi, Korea3
University of Adelaide, SA 5005 Australia3
Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea3
Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA3
Department of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania3
Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands3
Institute of Computational Science, University of Lugano, Switzerland3
Hanoi University of Science and Technology, Hanoi, Vietnam3
HKUST-DT System and Media Laboratory, Hong Kong University of Science and Technology, Hong Kong3
Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China, 510063
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea3
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA3
Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India3
Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China3
North Carolina A&T State University, Greensboro, NC3
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing and Communication, Infolab21, Lancaster University, LA1 4WA, United Kingdom3
School of Electrical Engineering, University of Ulsan, Republic of Korea3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
Istanbul Technical University, Computer Engineering Dept., 34469, Maslak, Turkey3
School of Microelectronics, Shanghai Jiao Tong University, Shanghai, China, 2002403
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
University of Missouri, Department of Electricall Engineering & Computer Science, USA3
School of physics and engineering, Sun Yat-Sen University, GuangZhou, China3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
University of Louisville, KY, USA3
British Malaysian Institute, Universiti Kuala Lumpur, Selangor3
Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
The School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India3
Faculty of Robot Science & Engineering, Northeastern University, Shenyang, 110819, China3
Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C3
School of Electronics and Information Engineering, Tianjin University, Tianjin, China3
State Key Laboratory of Software Development Environment, Department of Computer Science and Engineering, Beihang University, Beijing 1001913
Dept. of Computer Science, University of Calgary, AB, Canada3
Oak Ridge National Laboratory, USA3
Osaka University, Toshiba Corporation3
Center for Brains, Minds and Machines, McGovern Institute for Brain Research, MIT, Cambridge MA 02139, U.S.A.3
Computer Vision and Image Processing Laboratory (CVIP), University of Louisville, KY, 40292, USA3
Information and Communication Centre, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT, 2601, Australia3
Technicolor Research and Innovation, Cesson-Sévigné, France3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Beijing institute of technology, China3
Graduate School of Science and Technology, Kumamoto University, Japan3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
The University of Hong Kong, Hongkong, China3
Yonsei University, Seoul, Rebublic of Korea3
Mathematics and Statistics, UNC Wilmington, NC, United States3
LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco3
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 292083
Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria3
Computational Vision Group, School of Systems Engineering, University of Reading, UK3
Department of Electronics, University of Kent, Canterbury, UK CT2 7NT3
RWTH Aachen University, Germany3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy3
School of Software Engineering, Tongji University, Shanghai 201804, China3
University College London, London, United Kingdom3
Dept. of CS&E, IIT Madras, India3
School of Information Engineering, Xiangtan University, Xiangtan, 411105, China3
School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom3
Department of Computer Science, George Mason University, Fairfax, VA 22032, USA3
Department of Telecommunication Engineering, Beijing Information Science and Technology University, Beijing, China 1001013
University of Maryland, Baltimore County, Baltimore, MD, USA3
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, Indian Institute of Technology, Hyderabad, India3
Department of Electrical and Computer Engineering, University of Denver, CO, USA3
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Vietnam3
Institution of information Science, Beijing Jiaotong University, Beijing, China3
School of Automation, Southeast University, Nanjing 210096, China, Key Laboratory of Measurement and Control of CSE, Ministry of Education3
Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain3
Department of Computer Science, Rutgers University, NJ, USA3
CNRS, INSA-Lyon, LIRIS, UMR5205, Université de Lyon, F-69621, France3
IMAGO Research Group, Universidade Federal do Paraná, Curitiba, Brazil3
Harman International Industries, India3
Institute of Software, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100733
Department of Electrical and Computer Engineering, Biometric Technologies Laboratory, University of Calgary, 2500 University Drive NW, Alberta, T2N 1N4 Canada3
University of Houston, Texas3
Computer Vision and Image Processing Lab, Institute for Integrated and Intelligent Systems, Griffith University, Australia3
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology3
George Mason University, Fairfax, VA 22030, USA3
Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden3
Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia3
Department of Computer ScienceJohns Hopkins University3
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, USA3
University of Oulu: Finland, Oulu, Finland3
Institute of Space Science, Bucharest, ISS, Romania3
LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France3
Graduate Institute of Electrical Engineering, National Taiwan University, Taipei, Taiwan3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
Electronic Engineering Department, Tsinghua University, Beijing, China3
AltumView Systems Inc., Burnaby, BC, Canada3
Central China Normal University, Wuhan, China3
REsearch Groups on Intelligent Machines, University of Sfax, Soukra street, B.P. 1173, 3038, Sfax, Tunisia3
Department of Electrical Engineering & Electronics, University of Liverpool, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia3
School of optoelectronic science and engineering of UESTC, Chengdu3
Centre of Excellence IT4Innovations, Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic3
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China3
DISTA, University of Insubria, Varese, Italy3
GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS3
Graduate School of Information, Production and System, Waseda University, Japan3
Center of Informatics, Federal University of Pernambuco, Recife, Brazil3
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen3
Intelligent Embedded Systems Lab, University of Kassel, Kassel, Germany3
NICTA3
University of Waterloo, Waterloo, ON, Canada3
Key Laboratory of Measurement and Control of CSE, Southeast University, Nanjing, China3
Department of Electrical Engineering, Al Isra University, Jordan3
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China3
University of North Carolina, Charlotte3
Electrical Engineering Pennsylvania State University3
Electrical and Computer Engineering Johns Hopkins University3
Video Analytics Lab, SERC, Indian Institute of Science, Bangalore, India3
Computer Science Department, Central University of South Bihar3
Qatar Computing Research Institute, HBKU, Doha, Qatar3
IDIAP Res. Inst., Martigny, Switzerland3
IBM T.J. Watson Research Center, USA3
Institute of Systems Science, Northeastern University, Shenyang, Liaoning Province, China3
Certis Lab, ENPC ParisTech, France3
University of Miami, USA3
School of Computer Science and Technology, Nanjing Normal University, Nanjing 210046, China3
University of Toulouse, Toulouse, France3
Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia3
Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA3
Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Center for Research on Intelligent Perception and Computing3
University of Melbourne, Parkville, Australia3
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 379963
National Laboratory of Pattern Recognition & University of Chinese Academy of Sciences, Beijing, China3
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China3
Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 326013
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.3
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China3
Certis, Lab, ENPC ParisTech, France3
Australian National University (ANU), Australia3
School of Electrical and Computer Engineering, University of Seoul, Korea3
Samsung Research and Development Institute Bangalore Pvt Ltd., Bangalore, India3
Inst. of Autom., Shanghai Jiao Tong Univ., China3
Graduate School of Integrated Design Engineering, Keio University, Kanagawa, Japan3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
Department of Mechanical Engineering, Tsinghua University, Beijing, China3
Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain3
School of Computer Science and Technology, Nanjing University of Science and Technology, 210094, China3
Research Center of Intelligent Robotics Shanghai Jiao Tong University, Shanghai, 200240, P.R. China3
Automation Department, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
The University of Tennessee, Knoxville, Tennessee, 379963
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye3
Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador3
Cylab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China3
Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan3
GREYC, Universite of Caen, Caen, France3
Visualisation Group, University of Warwick, Coventry, UK3
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Instrumentation, IT and Systems Lab IRSEEM Rouen, FR3
Centre of Informatics, Federal University of Pernambuco, Recife-PE, Brazil. Bruno J. T. Fernandes is also with the Polytechnic School, University of Pernambuco, Brazil3
Graduate School of Information Science, Nagoya University, Aichi, Japan3
Shanxi University, Shanxi Province, China3
Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland3
Microsoft Corporation, Redmond, WA, USA3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of Electrical and Computer Engineering, Peking University, Beijing, China3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea3
Faculty of Engineering and Information Technology, University of Technology, Sydney3
Department of Engineering, University of Modena and Reggio Emilia, Modena, Italy3
Mie university, Mie, Japan3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA3
Computer Vision and Geometry Lab, ETH Zürich, Switzerland3
AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria3
Department of Electrical and Computer Engineering, Boston University, 8 Saint Mary's St., Boston, MA USA 022153
Dept. of Electrical and Computer Engineering, University of Dayton, OH, USA3
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA, USA3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
IT - Instituto de Telecomunicações, University of Beira Interior, Portugal3
College of Computer Science, Chongqing University, Chongqing, 400030, China3
Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA3
Thiagarajar College of Engineering, Madurai, Tamilnadu, India3
AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland3
Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia3
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania3
Center for Cognitive, Connected & Computational Imaging, College of Engineering & Informatics, NUI Galway, Ireland3
University of Tübingen, Tübingen, Germany3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
Computer Vision Lab, Sungkyunkwan University Suwon, South Korea3
Sapienza University of Rome3
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
ECSE Department, Rensselaer Polytechnic Institute, Troy, USA3
Chongqing University of Posts and Telecommunications Chongqing, China3
LIRIS, École Centrale de Lyon, UMR5205, F-69134, France3
Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile3
National Laboratory of Pattern Recognition, Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy3
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China3
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India3
Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany3
Department of Engineering Science, University of Toronto, Toronto, Canada3
Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia3
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Electrical Engineering, The City College, The City University of New York, NY, USA3
University of Insubria, Varese, Italy3
Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China3
Department of Information Technology, SSN College of Engineering, Chennai, India3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil3
Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Computer Science and Engineering, Beihang University, Beijing, China3
Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
University of California San Diego, United States of America3
Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland3
Department of Psychology, University of Pittsburgh, PA, 15260, USA3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China3
Department of Computer Science, University of Northern British Columbia, Canada3
Northwestern University, USA3
S.P.I.T., Mumbai3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA3
Temasek Laboratories, National University of Singapore, 117411 Singapore3
Imperial College London, London, U.K.3
Institute of Control and Information Engineering, Poznan University of Technology, Poznan, 60-9653
Faculty of Science and Technology University of Macau Macau SAR, China3
Universitat Heidelberg, Heidelberg, Germany3
Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain3
Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye3
NTT Communication Science Laboratories3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Robotics and Auto-Driving Laboratory, Baidu Research, Baidu, Beijing, China3
Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Department of Computer, Qaemshahr Branch, Islamic Azad University, Iran3
Digital Technology Center and the Department of Electrical and Computer Engineering, University of Minnesota, Minneapo-lis, MN, USA3
Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Unmanned System Institute, National University of Defense Technology, Changsha, China3
Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Oregon State University, Corvallis, OR 97331, USA3
School of Electrical Engg. & Comp. Science, National University of Sciences and Technology, Pakistan3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Daimler AG Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Halmstad Univ., Sweden3
Peking University, China / Shanghai Jiao Tong University, China3
School of Software, Jiangxi Normal University, Nanchang, China3
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124, Greece3
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China3
Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China3
CAS University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China3
Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain3
School of Electrical Engineering and Computer Science, DIVA Strategic Research Network, University of Ottawa, Ottawa, ON, Canada3
Department of Electronics, AGH University of Science and Technology, Kraków, Poland3
LEAR, INRIA Grenoble, LJK, France3
University of Luxembourg, Luxembourg3
Dept. of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, China3
Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA3
Federal University of Technology - Parana, Brazil3
University of Wollongong, Australia3
Automated Reasoning and Cognition Key Laboratory of Chongqing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Electronics, University Alcalá, Madrid, Spain3
Department of Computer Science, University of California, Los Angeles, CA, USA3
MPI Informatics, Saarbrücken3
Department of Measurement & Control, University of Kassel, Kassel, Germany3
Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan3
Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M83
The University of Auckland, Auckland, New Zealand3
Center for Biometric Authentication & Testing, Chinese Acad. of Sci., Beijing, China3
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA3
Department of Molecular, Cellular, and Developmental Biology, University of California Santa Barbara3
School of Electrical & Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-dong, Seodaemun-gu, Seoul, Republic of Korea, 120-7493
School of Computing, The University of Leeds, United Kingdom3
École Centrale de Lyon, Écully, France3
ETH Zürich3
Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye3
Victoria University of Wellington3
School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil3
Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering3
Adobe Research, San Jose, CA 95110, USA3
BMS College of Engineering, Bangalore, INDIA3
Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China3
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China3
Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
Wuhan University, China3
University of Jinan, Jinan City3
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, 330013, China3
National ICT Australia, Canberra, ACT, Australia3
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic3
Visual Analysis of People (VAP), Aalborg University, Rendsburggade 14, Denmark3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China3
Department of Radiation Oncology, Stanford University, Stanford, CA, USA3
Saarbrücken, Saarland, Germany3
College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000 Rouen, France3
Deniz Harp Okulu, Turkey3
School of Computer Science and Engineering, Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China3
C & C Innovation Research Labs, NEC Corporation, Nara, Japan3
Fuzhou University, Fuzhou, Fujian, China3
Mines-Télécom/Télécom Lille, CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
Dept. of Electrical and Computer Engineering, The Ohio State University, USA3
School of Mechanical and Automotive Engineering, South China University of Technology, GuangZhou, China3
Monash University3
Michigan State University, East Lansing, MI, U.S.A.3
Purdue University, West Lafayette, IN, U.S.A3
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, United Kingdom3
School of Automation, Northwestern Polytechnical University, Xi'an, China3
Institute of Imaging and Computer Vision, RWTH Aachen University, Templergraben 55, 52056, Aachen, Germany3
Electronics and Telecommunications Research Institute, Daejeon, South Korea3
State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100088, China3
School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, 100081, China3
Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA3
Robotics Research Center, IIIT Hyderabad3
School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China3
Computer Science, Duke University, USA3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, People’s Republic of China3
Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA3
Key Laboratory of Machine Perception (Ministry of Education), School of Electrical Engineering and Computer Science, Peking University, Beijing, China3
Key Lab of Intel. Inf. Proc, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
Autonomous University of the State of Mexico, Toluca, Mexico3
Southwest Jiaotong University, Chengdu, China3
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China, 6117313
School of Electronics and Computer Science, University of Southampton, UK3
Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy3
LiFAT (EA 6300), University of Tours, Tours, 37000, France3
Scientific Systems Company Inc. (SSCI), 500 W. Cummings Park, Suite 3000, Woburn, MA 01801-6562, USA3
Texas A8M University, TX, USA3
GRASP Lab, University of Pennsylvania, 3330 Walnut Street, 19104, Philadelphia, USA3
Research Concentration in Speech, Audio and Video Technology, School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Australia3
College of Information Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China3
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy3
Department of Electronics, University of Alcalá, Madrid, Spain3
Daimler AG, Research and Development. Ulm, Germany3
Institute for Infocomm Research, A∗STAR, Singapore3
Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland3
University of Freiburg, Freiburg, Germany3
School of Information Technologies, University of Sydney, Australia3
University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam3
IBM T. J. Watson Research, Yorktown Heights, NY, USA3
Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania3
ATR Key Laboratory, Shenzhen University, Shenzhen, China3
Department of Electrical Electronic engineering, Yonsei University, 50 Yonseiro, Seodaemungu, Seoul, South Korea3
Departament de Ciències de la Computació and the Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain3
ANU (Australian National University), Australia3
Institute for Network Sciences and Cyberspace (INSC), Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, China3
Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland3
Department of Computer Science, University of Brasilia, DF 70910-900 Brazil3
Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
DEIB, Politecnico di Milano, Italy3
School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan3
Beijing University of Posts and Telecommunications, No. 10, Xitucheng Road, Haidian District, Beijing, PR China3
School of Engineering, Griffith University, Nathan Campus, QLD 4111, Australia3
Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore3
Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany3
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing, China3
Computer Aided Medical Procedures, Technische Universität München, Germany3
Department of Computer Science and Technology, Harbin University of Science and Technology, China3
University of sciences of Monastir, Monastir, Tunisia3
2012 Labs, Huawei, Bangalore, India3
University of Derby, Derby, United Kingdom3
INRIA Rocquencourt, Le chesnay France3
Computer Science Department, Technical University of Cluj Napoca, Romania3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia3
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil3
Institution of information Science, Beijing Jiaotong University, Beijing 100044, P.R. China3
Dept. of Computer Science, U. of Southern California3
CRIPAC & NLPR, Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China3
University at Buffalo, The State University of New York, Buffalo, NY 14203, USA3
Machine Perception Laboratory, University of California San Diego, USA3
Department of Computer Science, Rutgers University, 617 Bowser Road, Piscataway, N.J, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia3
Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China3
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 4100733
West Virginia University, PO Box 6201, Morgantown, West Virginia 265063
College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China3
KULeuven, EAVISE3
Computer & Information Science Department, Temple University, Philadelphia, PA, USA3
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300133
Islamic Azad University, Karaj Branch, Computer Engineering Department, Daneshgah St, Rajaee Shahr, Iran3
Bioinformatics Institute, A∗STAR, Singapore3
Electrical-Electronics Engineering Department, Eskisehir Osmangazi University & Anadolu University, Eskisehir Osmangazi Universitesi, 26480, Turkey3
Department of Computer Science, University of Hamburg, Germany3
Department of Haematology, University of Cambridge, Cambridge, United Kingdom3
Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, CAS, Beijing 100190, China3
Environment Perception, Daimler R&D, Sindelfingen, Germany3
Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering3
Digital Media & Communications R&D Center, Samsung Electronics, Suwon, Korea3
Biometrics Engineering Research Center (BERC), Yonsei University, Seoul, South Korea3
Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil3
Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan3
Graduate School of Information Sciences, Tohoku University, 6-6-05., Aramaki Aza Aoba., Sendai-shi., 980-8579., Japan3
Department of Electrical Engineering, Duke University, USA3
PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France3
Beijing University of Posts and Telecommunications, Beijing, P.R. China, 1008763
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Guangdong 518055, China3
Ecole Polytechnique Fédérale de Lausanne, Lausanne3
School of Mechanical and Electric Engineering, Guangzhou University, China3
Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany3
Department of Computer Science, University of Southern California, Los Angeles, California 900893
School of Telecommunications Engineering, Xidian University, Xi’an, China3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
National University of Defense Technology, Hunan Changsha, China3
Computer & Vision Research Center / Department of ECE, The University of Texas at Austin3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Department of Information Science and Engineering, Changzhou University, Changzhou, China3
Department of Computer Engineering, University of Kashan, Iran3
Dept. of ECE, SVEC, Tirupati, AP3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia3
Purdue University, West Lafayette, IN, USA3
University of Girona, ATC, Girona, Spain3
Department of Computer ScienceMultimedia Processing Laboratory, National Tsing Hua University, Hsinchu, Taiwan3
School of Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, China3
Department of Electronic Engineering, Inha University, Republic of Korea3
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, India3
Texas State University-San Marcos3
Department of Electronic Science & Technology, School of Information Science & Technology, East China Normal University, No. 500, Dongchuan Road, Shanghai 200241, China3
Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia3
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 USA3
Institute for Human-Machine Communication, Technische Universität München3
CVIT, KCIS, IIIT Hyderabad, India3
Chief Technology Office, Wipro Technologies, Computer Vision Lab, Smart Machines Group, Bangalore, India3
Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea3
Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland3
Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, U.K.3
Indian Institute of Information Technology at Allahabad, Allahabad, India3
City University of New York, New York, NY, USA3
The University of Tokushima, 2-1 Minami Josanjima, Tokushima-city, Tokushima, Japan3
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China3
Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany3
Institute of Computer Science University of Goettingen, Data Fusion Group, Germany3
Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran3
Faculty of Information Technology, University of Technology, Sydney, Australia3
INRIA Grenoble Rhône-Alpes, Saint Ismier, France3
Stanford University, Palo Alto, CA, USA3
FZI Research Center for Information Technology, 76131 Karlsruhe, Germany3
University of Manchester, Manchester, United Kingdom3
Department of Electronic Engineering, Dalian University of Technology, 116023, China3
University of Technology Sydney, Centre for Autonomous Systems, 15 Broadway Ultimo, NSW 20073
Visual Analysis of People Laboratory, Aalborg University, Denmark3
NUDT, Science and Technology on Parallel and Distributed Laboratory, Changsha, 410073, China3
Dept. of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-21223
State Grid Shanxi Electric Power Research Institute, Taiyuan, China 0300013
The Chinese University of Hong Kong, Hong Kong SAR of China3
Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA3
Centre for Visual Information Technology, IIIT Hyderabad, Hyderabad, India3
CVSSP Group, Surrey Univ., Guildford, UK3
University of Pennsylvania3
Department of Electronic Engineering, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Beijing, 100084, China3
Department of Computer Engineering, Middle East Technical University, Ankara, Turkey3
US Army Research Laboratory, Adelphi, MD, 207833
Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece3
Department of Electronics and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan3
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, 40292, USA3
Department of Electrical and Computer Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran3
Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA3
The University of Buckingham, Buckingham, MK18 1EG, UK3
Multimedia and Information Security Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior, India, 4740153
Center for Signal & Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA3
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
School of Automation and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan, China3
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, Institute of Automation, CAS, Beijing, China3
The University of Hong Kong3
Northwestern Polytechnical University, Xi'an, 710072, China3
Department of Computer and Information Science, Temple University, Philadelphia, PA, 19122, USA3
Artificial Vision Lab., Dept Mechanical Engineering, National Taiwan University of Science and Technology3
Amity University Uttar Pradesh, Noida, India3
Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye3
School of Computer Science and Technology, Wuhan University of Science and Technology, Hubei, China3
Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden3
TTI Chicago3
Key Laboratory of System Control and Information Processing MOE, Department of Automation, Shanghai Jiao Tong University3
Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan3
Karlsruhe Institute of Technology, Institute for Anthropomatics, Germany3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK3
School of Automation, Southeast University, Nanjing, Jiangsu 210096, China3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan, 481283
Institute of Industrial Science The University of Tokyo, Tokyo, Japan3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia3
Faculty of Electrical Engineering and Computing, University of Zagreb3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, USA3
Electrical and Electronic Engineering Department, Imperial College London, SW7 2AZ, UK3
Dept. of Computer Vision and Cognitive Cybernetics, VNUHCM-University of Science, Ho Chi Minh City, Vietnam3
Center for Digital Media Computing, Software School, Xiamen University, Xiamen 361005, China3
Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy3
School of Computer Science, University of Manchester, United Kingdom3
College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China3
Instituto de Sistemas e Robótica, Lisbon, Portugal3
Eindhoven University of Techology, Human Technology Interaction, The Netherlands3
Kingston University London, Surrey, United Kingdom3
Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN3
The University of Western Australia, Crawley3
School of Information and Communication Engineering / Center for Robotics, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
EECS Department, Northwestern University, Evanston, IL, USA, 602083
School of Electronic & Computer Engineering, Shenzhen Graduate School, Peking University, China3
Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan3
Northwest Normal University, College of Physics and Electronic Engineering, Lanzhou, 730070, China3
Department of Computer Science, University of Central Florida, Orlando, 32816, United States of America3
Cisco Systems Inc. Innovation Labs San Jose, California3
Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy3
Wayne State University, Woodward Ave, Detroit, MI3
Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Beijing 100190, China3
GSCST Seoul National University, Department of Transdisciplinary Studies, Seoul, Republic of Korea3
School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China3
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University3
Southern Illinois University at Carbondale, Carbondale, IL3
School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand3
National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan3
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China3
Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA3
Department of Mathematics & Computer Science, Philipps-Universität Marburg, D-35032, Germany3
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, 90089, USA3
Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India 2476673
IRISA, University of Rennes 1, Rennes, France3
Disney Research Zurich3
IRSEEM, ESIGELEC, Rouen, France3
Nuremberg Institute of Technology Department of Computer Science3
School of Electronic and Information Engineering, Sun Yat-sen University, Guangzhou, China3
Multimedia Communication and Pattern Recognition Labs, Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan3
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs3
Orta Doğu Teknik Üniversitesi, Turkey3
University of St Andrews, St Andrews, UK3
Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil3
Department of Computer Science and Telecommunications, National Research University of Electronic Technology (MIET), Zelenograd, Russia3
Mercedes-Benz Research & Development North America, USA3
Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel3
Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China3
State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China3
Amrita e-Learning Research Lab (AERL), Amrita School of Engineering, Amritapuri, Amrita VishwaVidyapeetham, Amrita University, India3
University of Western Australia, Crawley, WA, Australia3
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, China and Collaborative Innovation Center of Geospatial Technology, Wuhan University, China and National Enginee ...3
King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia3
National Laboratory of Pattern Recognition, CASIA, Beijing, China3
Nanyang Technological University, Nanyang Avenue, Singapore3
Shanghai Jiaotong University, China3
Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University, Akita, Japan3
Signal and Communication Lab, University of Brescia, Italy3
Department of Electrical and Electronic Engineering, Auckland University of Technology, School of Engineering, Computer and Mathematical Sciences, Auckland, New Zealand3
UMIACS, University of Maryland, College Park, MD3
Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan3
Computer Science Department, University of Calgary, Calgary, AB, Canada3
SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan3
University of Verona, Strada le Grazie, Verona, Italy3
School of Engineering & Applied Sciences, Harvard University3
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)3
Indian Institute of Science, Bengaluru3
Information and media processing laboratories, NEC Corporation3
Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, 28 West Xianning Road, Xi'an, Shaanxi, 710049, China3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China3
School of Software, University of Technology Sydney, NSW 2007, Australia3
TU Berlin, Berlin, Germany3
Aarhus University, Aarhus, Denmark3
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea3
Department of Computer Vision and Multimodal Computing, Max-Planck Institute for Informatics, Saarbrücken, Germany3
Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia3
PARC, Palo Alto, CA3
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, United States3
Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain3
Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México3
Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain3
Institute of Intelligent Systems for Automation, Italian National Research Council, via Amendola 122 D/O, Bari, Italy3
School of Information Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China3
Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
School of Automation, Southeast University, Nanjing, People’s Republic of China3
Faculty of Computer Engineering, Iran University of Science and Technology3
School of Information Science and Technology, Donghua University, Shanghai, China3
Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt3
University of California San Diego3
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, wellington, 6140, New Zealand3
School of Information Technologies, The University of Sydney, NSW 2006, Australia, Sydney3
Xi’an Jiaotong University, Xi’an, China3
Kyung Hee University, South Korea, 1 Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-7013
Cognitive Science Department, Xiamen University, China3
IBM Research - Tokyo3
Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
MIT Media Lab, Cambridge, MA, USA3
Computer Vision and Geometry Group, Institute for Visual Computing, Computer Science Department, ETH Zürich, 8092, Switzerland3
Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany3
Department of Computer Science, University of British Columbia, Vancouver, BC, Canada3
School of Creative Technologies, University of Portsmouth, Portsmouth, POI 2DJ, UK3
The University of Electro-Communications, Japan3
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China3
Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea3
School of Engineering, RMIT University, Melbourne, 3000, Australia3
Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M83
Faculty of Engineering and Applied Science University of Regina Regina, Canada3
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési3
National Key Laboratory for Novel Software Technology, Nanjing University, 210093, China3
Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China3
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea3
Laboratoire LITIS - EA 4108, Universite de Rouen, 76800, FRANCE3
Desert Research Institute, Reno, USA3
NASA Ames Research Center, Moffett Field, USA3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China3
Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK3
Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA3
School of Engineering, Cranfield University, UK3
Department of Information Engineering, University of Firenze, Firenze, Italy3
University of Nottingham, Ningbo China3
Institut VEDECOM, Versailles, France3
Brno University of Technology, Faculty of Information Technology, Czech Republic3
Research Groups on Intelligent Machines, University of Sfax, BP 1173, Sfax 3038, Tunisia3
School of EEE, Nanyang Technological University, Singapore 6397983
Department of Informatics, Aristotle University of Thessaloniki, Informatics and Telematics Institute, CERTH, Greece3
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand3
University of California, Riverside, Riverside, CA3
Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China3
Autonomous Ground Vehicle Team, Indian Institute of Technology Kharagpur, WB, 721302, India3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA)3
Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK3
School of Computing, Clemson University, Clemson3
Computer Science and Engineering Department, University of Notre Dame, Notre Dame3
University of Southern California, Playa Vista, USA3
Ural Federal University, Yekaterinburg, Russia3
College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China3
Computer Science Department, Technical University Of Cluj-Napoca, Romania3
Open University of Israel3
Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O.Box 217 7500 AE Enschede, The Netherlands3
Computer Science Department, Technical University of Cluj-Napoca3
Department of Avionics, IIST, Trivandrum, India3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China3
Electrical and Computer Engineering Department, Semnan University Semnan, Iran3
Indian Institute of Technology Guwahati, Guwahati, India3
Computer Science Department, Boston University, Boston3
School of EECE, The University of Western Australia, 35 Stirling Highway, WA 6009, Australia3
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany3
School of Computing, Communications and Electronics, University of Plymouth, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Department of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China3
Faculty of Information Technology, Ho Chi Minh City University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam3
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa3
Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye3
Department of Engineering, University of Modena, Modena, Italy3
Department of Electronic and Electrical Engineering, University College London, UK3
Dept of Information Technology, Panimalar Institute of Technology3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, School of Software Engineering, Ministry of Education, Chongqing University, Chongqing, China3
Department of Computer Science, Pontificia Universidad Cato´lica de Chile3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China, 2000303
Department of Electrical and Computer Engineering, University of California at Riverside, Riverside, CA, USA3
Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey3
Fujitsu Laboratories, Kawasaki, Kanagawa, Japan3
Queen Mary University of London, Llrnperial College London3
Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France3
Department of Computer Engineering, Kyung Hee University, Seoul, South Korea3
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China3
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China3
Bilgisayar Mühendisliği, İstanbul Teknik Üniversitesi, İstanbul, Turkey3
Department of Electrical Engineering, National University of Kaohsiung, Taiwan, ROC3
Keio University, Yokohama, Kanagawa, Japan3
Queen Mary, University of London, London3
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, PIN: 208016, India3
Department of Electrical & Computer Engineering, National University of Singapore, Singapore 1175763
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Institute for Advanced Computer Studies, University of Maryland, College Park, MD, 207423
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Robert Gordon University, Aberdeen, United Kingdom3
Security Technology Department, Fraunhofer Institute for Production Systems and Design Technology IPK, Berlin, 10587, Germany3
Informatics Department, Aristotle University of Thessaloniki, Greece3
ADSPLAB/ELIP, School of ECE, Peking University, Shenzhen 518055, China3
Visual Analysis of People Lab, Aalborg University, Denmark3
University of Sassari, Computer Vision Laboratory, Palazzo del Pousalid, piazza Duomo 6, 07041 Alghero - Italy3
Department of Computer Science and Engineering, National Chung Hsing University, Taiwan3
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia3
Department of Computer and Information Science, King Mongkut's University of Technology North Bangkok, 10800, Thailand3
Idiap Research Institute, 1920 Martigny, Switzerland3
Faculty of Electrical Engineering, University of Ljubljana, Tr¿a¿ka 25, SI-1000, Slovenia3
School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China3
Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA3
Deir—University of Sassari, Sassari, Italy3
University of California San Diego, Institute of Neural Computation, La Jolla, A.B.D., USA3
Sabanc¿ Üniversitesi, Mühendislik ve Doga Bilimleri Fakültesi, Tuzla, ¿stanbul, Türkiye3
Aristotle University of Thessaloniki, Dept. of Informatics, Thessaloniki, 54124,Greece3
Program of Electrical Engineering, COPPE/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ CEP, Brazil3
Vidyalankar Institute of Technology, Mumbai, India3
Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan3
GLA University3
College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610065, China3
National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China3
Department of Computer and Systems Engineering, Carleton University, 1125 Colonel By Drive, Ottawa ON, K1S 5B6 Canada3
Dept. of Inf. Technol., Okayama Univ., Japan3
School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia3
Michigan State University, United States of America3
DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy3
University of Vigo3
LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay3
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China, 4300733
Department of Computer Science and Technology, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Beijng, China3
University Politehnica of Bucharest, Image Processing and Analysis Laboratory, LAPI3
Division of Graduate Studies, Tijuana Institute of Technology, México3
Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA3
UC Irvine3
University of Alabama3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand3
Cooperative Medianet Innovation Center, Shang hai Jiao Tong University, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 2151233
University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany3
Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China3
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea3
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, 100191, China3
Guangxi University, School of Computer, Electronics and Information, Nanning, China3
Centre for Medical Image Computing and the Department of Medical Physics and Bioengineering, University College London, London, U.K.3
Computer Vision Group, Friedrich Schiller University Jena3
Department of Electrical, Computer, Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA3
Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden3
Kumamoto Univ., Kumamoto3
Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia3
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China3
IDSIA, USI and SUPSI Galleria 2, 6928 Manno-Lugano, Switzerland3
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai Jiao Tong University, China3
Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, USA3
Department of Electronics, University of Alcalá, Alcalá de Henares, Spain3
Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India3
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, UK3
Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China3
CVIP Lab, University of Louisville, Louisville, KY 40292. e-mail: ham@cvip.uofl.edu3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
School of Computer Science, Kookmin University, Seoul, Korea3
Center for Automation Research, University of Maryland, College Park, 20742, USA3
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong3
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China3
University of Canberra3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi province, 710049, China3
Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France3
University of Massachusetts, Amherst, USA3
Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea3
School of Computer Science, University of Lincoln, UK3
CERTH, Thermi-Thessaloniki, Greece3
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran3
Rochester Institute of Technology, Rochester, NY 14623, USA3
University of Surrey, UK3
College of Computer and Communication Engineering, China University of Petroleum, Dongying, China3
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK3
National Taiwan Normal University, Taipei, Taiwan3
Active Vision Lab, Department of Engineering Sciences, University of Oxford, UK3
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA3
George Mason University, Fairfax, VA, USA3
University of Salerno, Salerno, Italy3
Dept. of Electrical and Computer Engineering, University of Wisconsin - Madison, USA3
College of Electronic Information and Automation, Civil Aviation University of China, Tianjin3
School of Computing and Mathematics, Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland3
School of Computer Science and Information Technology, RMIT University, Melbourne, Australia3
Department of Computer Science and Engineering, University of Notre Dame, IN, USA3
Reconstruct & Expansion Project of Zhu-Xin Section of Henan Expressway Co. Ltd, Xinyang, China3
XiHua University, Cheng Du3
School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China3
Electrical and Information Engineering Department, Beijing jiaotong University3
University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA3
Inha University, Incheon, Korea3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
Kyung Hee University, Korea3
University school of Information and Communication technology, Guru Gobind Singh Indraprastha University, Dwarka, New-Delhi, India3
Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University3
Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece3
Skolkovo Institute of Science and Technology, Skolkovo, Moscow3
CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France3
Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP) and Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University, China3
School of Information Science and Technology, Xiamen University, Xiamen, 3610053
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Department of Computer Science, Colorado State University, Fort Collins, 80523, USA3
State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China3
Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China3
Expedia Group, Bellevue, WA, USA3
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh3
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 1001903
Huazhong Univ. of Sci.& Tech., China3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA3
Department of Artificial Intelligence, Universidad Veracruzana, Sebastián Camacho No. 5, Xalapa, 91000, Mexico3
Research Institute of Shenzhen, Wuhan University, Shenzhen, China3
Indian Institute of Technology, Guwahati, India3
Department of Electrical and Computer Engineering, Binghamton University, Binghamton, NY3
Shenzhen Key Lab. of Information Sci&Tech, Department of Electronics Engineering, Graduate School at Shenzhen, Tsinghua University, China3
Shanghai University3
Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden3
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, China3
Lehigh University, Bethlehem, USA3
Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China3
Department of Automation, National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Department of Information Technology on Human and Environmental Science, Kumamoto University, Chuo-Ku, Kumamoto, Kumamoto, Japan3
Applied Research Group, Satyam Computer Services Ltd, 3rd Floor, SID Building, IISc Campus, Bangalore - 12, India3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology, Wuhan University of Sciences and Technology Wuhan 430065, China3
Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy3
Le2i Laboratory, University of Burgundy, Le Creusot, France3
Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany3
Australian Centre for Field Robotics, The University of Sydney3
CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia3
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore3
University of Firenze, via S. Marta 3, 50139 Firenze, Italy3
Hitachi, Ltd., Tokyo, Japan3
School of Computer Science, The University of Nottingham, United Kingdom3
Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Electrical and Computer Engineering, Vision Laboratory, Old Dominion University, Norfolk, VA, USA3
Dept of Electrical and Computer Engineering, Tufts University, Medford, MA, USA3
Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA3
Department of Computer Science, Hong Kong Baptist University3
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico3
Simula Research Laboratory, Oslo, Norway3
College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China3
Department of Electrical Engineering, Indian Institute of Science3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, San Diego, CA, USA3
Center for Research in Computer Vision, University of Central Florida, Orlando, FL3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
Department of Electrical Engineering, Chang Gung University, Tao-Yuan, Taiwan3
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China3
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK3
Aoyama Gakuin University, Japan Sagamihara, Japan3
Multimodal Interactive Syst., Darmstadt, Germany3
Amrita E-Learning Research Lab (AERL), Amrita School of Engineering, Amritapuri, Amrita Vishwa Vidyapeetham, Amrita University, India3
Department of information, Beijing University of Technology, PingLeyuan3
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France3
National Taipei University of Technology3
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka3
Kakatiya Institute of Technology and Science (KITS), Warangal-15, INDIA3
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen, China3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Shanghai Advanced Research Institute, CAS, Shanghai, China3
School of Mathematics and Statistics, Yunnan University, Kumming, China3
Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia3
Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt3
Department of Electronic and Computer Engineering, National Taiwan university of Science and Technology, Taiwan R.O.C.3
Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt3
CES Research Unit, National Engineers School of Sfax, Sfax University, Tunisia3
IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France.3
Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain3
School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, China3
University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia3
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands3
Image Understanding Group, Daimler AG R&D, Stuttgart, Germany3
Department of Electronic and Computer Engineering, Brunei University, London, London, UK3
Tampere University of Technology, Korkeakoulunkatu 1, P.O.Box 553, 33101 Tampere Finland3
Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg D-39016 Magdeburg, P.O. Box 4210 Germany3
REGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Tunisia3
Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Malaysia3
Department of Computer Science, University College London, UK, WC1E 6BT3
School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China3
Research School of Engineering, Australian National University, Acton, ACT, Australia3
School of Mechanical and Electric Engineering, Soochow University, Suzhou Jiangsu, 215021, China3
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA3
Department of Computer Science, Pohang University of Science and Technology, Korea3
School of computer science, Harbin Institute of Technology, Harbin, China3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 190923
Department of Electrical Engineering, National Chung Hsing University, Taiwan3
Fac. of Inf. Technol., Multimedia Univ., Malaysia3
LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia3
University of Tsukuba, Tsukuba City, Ibaraki, Japan3
Department of Electronics and Electrical Engineering, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan3
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA3
Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong3
School of Electrical Engineering, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea3
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia3
Guangzhou Power Electrical Technology Co., Ltd.,, Guangzhou, 510670, China3
Qingyuan Power Supply Bureau of Guangdong Power Grid Inc, Qingyuan, 511500, China3
Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, La Jolla, CA, USA3
Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada3
College of Computer Science and Technology, Xinjiang Normal University, Urumchi, 830054, China3
School of Information Technology, Deakin University, Geelong, VIC 3216, Australia3
Centre for Intelligent Sensing, Queen Mary University of London, Mile End Road, London E1 4NS, UK3
Computer Vision Center & Dept. Comp. Science, Universitat Autònoma de Barcelona, Cerdanyola, Spain3
University of California, San Diego, CA3
LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco3
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia3
Università degli Studi di Firenze, Firenze3
Vision & Sensing Group, HCC Lab, ESTeM, University of Canberra, Australia3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
Centre for Artificial Intelligence, University of Technology, School of Software, Sydney Ultimo, New South Wales, 2007, Australia3
National Engineering Research Center on Multimedia Software, Wuhan University, 430072, China3
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa3
Advanced Analytics Institute, University of Technology, Sydney, Australia3
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China3
Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain3
ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France3
Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil3
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39106, P.O. Box 4210 Germany3
Simula Research Laboratory, Norway3
Laboratory of Imaging Technologies, Department of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia3
Institute for Human-Machine Communication, TU München, Theresienstrae 90, 80333 München, Germany3
Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742 USA3
Department of Computer Science, Virginia Tech, Discovery Analytics Center3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Video Analytics Laboratory, SERC, Indian Institute of Science, Bangalore, India3
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai, China3
Harvard University3
Florida State University Department of Electrical end Computer Engineering, Tallahassee, 32310 USA3
Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology - Paraná (UTFPR), Curitiba, Paraná, Brazil3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, Nanjing, China3
Clarkson University, 8 Clarkson Ave, Potsdam, New York3
Research group GOTS, Universidad Industrial de Santander, Bucaramanga, Colombia3
University of Zaragoza, Spain3
College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China3
Shanghai Jiao Tong University, Shanghai, 200240, China3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
Mobile Robotics Group, Oxford University, UK3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Ltd., Pune, India3
School of Computer science and engineering, Wuhan Institute of Technology, Wuhan, China, 4300733
Dept. of Electronic & Electrical Engineering, University College London, London, U.K.3
Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden3
College of Communication Engineering, Chongqing University, Chongqing, China3
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China, 1001903
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China3
College of Information Engineering, Zhejiang University of Technology, Hangzhou, China3
School of Electronics and Communication Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China3
Hasso-Plattner-Institute, University of Potsdam, Potsdam, Germany3
Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States3
School of Electrical and Information Engineering, Shanghai University of Electric Power, China3
Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing 210096, China3
Kitware Inc., USA3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
Department of Computer Science, City University of Hong Kong, China3
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-01923
The Chinese University of Hong Kong, Hong Kong, China3
Department of Engineering Science, University of Oxford, United Kingdom3
School of Information Science and Engineering, Chengdu University, Chengdu, China3
Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea3
IT - Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal3
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida 336203
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia3
ECE Department, UIET, Panjab University, Chandigarh, India3
Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland3
Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland3
Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai-600044, India3
Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.3
GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye3
Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli, Tuzla, 34956, Istanbul, Turkey3
University of California, Berkeley, United States3
Department of Electrical Engineering, University of Washington (UW)3
Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France3
Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand3
Google, New York, NY, USA3
Video/Image Modeling and Synthesis Lab, Department of Computer and Information Sciences, University of Delaware, USA3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China3
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, NC 274113
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India - 2080163
Software school, Xiamen University, Xiamen, Fujian, China3
Visionlab, University of Antwerp3
University of Texas at Austin, Austin, USA3
Key Laboratory of Intellectual Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China3
ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia3
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China3
Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland3
Institute of Measurement and Control, Karlsruhe Institute of Technology, Germany3
Department of Electrical Engineering and Computer Science, UC Berkeley, Berkeley, CA3
Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha, Hunan, China3
Science and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha, Hunan, China3
Computer Science and Engineering, Arizona State University, Tempe, USA3
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China3
Key Laboratory of Machine Perception (Ministry of Education), Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
National Chung-Shan Institute of Science and Technology, Taiwan3
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia3
School of Control Science and Engineering, Shandong University, Jinan, Shandong, P. R. China3
Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany3
Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil3
Communication University of China, Beijing, 100024, China3
School of Computer Science and Technology, Nanjing Tech University, Nanjing, China3
University of Adelaide, Adelaide, Australia3
University of California, Riverside, USA3
University of Bath3
Multimedia and Intelligent Software Technology Beijing Municipal Key Lab., College of Computer Science, Beijing University of Technology Beijing, China.3
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
school of Electrical and Computer Engineering, Korea University, Seoul, Korea3
Artificial Intelligence and Information Analysis Lab/Department of Informatics, Aristotle University of Thessaloniki, University Campus, Agiou Dimitriou, 54124, Greece3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.3
School of Electronics and Computer Science, University of Southampton, UK, SO17 1BJ3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000, Slovenia3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea3
IBM Thomas J. Watson Research Center, Yorktown Heights, NY 105983
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA3
Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, 210096, China3
GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA3
Centre de Visió per Computador, Universitat Autònoma de Barcelona, Barcelona, Spain3
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway Street, Ultimo, NSW, Australia3
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics3
University of Edinburgh, Edinburgh, United Kingdom3
Centre for Intelligent Sensing, Queen Mary University of London3
New York University, New York, NY, USA3
Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
New Industry Creation Hatchery Center, Tohoku University, Aza-Aoba 6-6-10, Aramaki, Aoba-ku, Sendai 980-8579, Japan3
Science and Technology on ATR Laboratory, National University of Defense Technology, Changsha 410073, China3
L2TI, Université Paris 13, Sorbonne Paris Cité, France3
University of Udine, Via Scienze 208, 33100, Italy3
Department of Computer Science and Technology, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNLIST, Beijing, China3
Department of Informatics, University of Thessaloniki, 54124, Greece3
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, P. R. China3
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France3
CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia3
LARSyS, Instituto Superior Técnico, Universidade Lisboa, Institute for Systems and Robotics (ISR/IST), Portugal3
Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F.3
Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran3
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241, China3
Department Zhejiang University, Computer Science and Technology, Hangzhou, China3
Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genova, Italy3
State Key Laboratory of Industrial Control Technology, Zhejiang University3
National Institute of Technology Rourkela, Odisha-769008, India3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, Taiwan3
Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany3
TCS Research, New Delhi, India3
Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
University of North Carolina Wilmington, Wilmington, NC3
EURECOM, Multimedia Communications Dept., 2229 route des Cretes BP 193, 06904 Sophia Antipolis Cedex, France3
Center For Machine Vision Research, University of Oulu, Finland3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey3
Academy of Broadcasting Science, Beijing, China3
Eastman Kodak Company, Rochester, NY, USA3
Khalifa University3
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China3
University of Technology, Sydney3
Annamalai university, Annamalai nagar, India3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Institute of Automation, Chinese Academy of Sciences, Beijing3
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
University of Firenze3
School of Electronics and Computer Science, University of Southampton, Southampton, S017 1BJ, UK3
Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA3
ISLA, Informatics Institute, University of Amsterdam, Science Park 107, 1098 XG, The Netherlands3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences3
College of Information Science and Technology Beijing Normal University, Beijing Beijing, China3
School of Information Engineering, Xinjiang University, Urumuqi, China3
Dept. of Electrical Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa Genoa, Italy3
Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China3
Max-Planck-Institut für Informatik, Saarbrücken, Germany3
Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic3
School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China3
Département EPH, Telecom SudParis3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100190, China3
REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia3
State Grid Energy Research Institute, China3
Guanadong University of Technology, China3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal3
Computer & Information Science Department, Temple University, Philadelphia, PA, USA3
Massey University, Institute of Natural and Mathematical Sciences, Auckland, New Zealand3
Philips Research, Eindhoven, The Netherlands3
Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey3
University of Delaware, USA3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 77004, USA3
Computer Science Department, University of Sherbrooke, Sherbrooke, Canada3
Panasonic System Networks3
Information Technologies Institute, CERTH, Thermi-Thessaloniki, Greece3
The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong3
Dept. of Electronics & Electrical Engineering, IIT Guwahati, India3
Department of Computer Science, University of Calgary, Calgary, AB, Canada3
Queensland University of Technology, Brisbane, Australia, 40003
Department of Computer Science, University of Texas at San Antonio, TX, USA3
NICTA, Canberra3
Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain3
University of Science and Technology of China, Hefei, Anhui, CN3
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China3
Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand3
Zhejiang University3
Multimedia Laboratory, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada3
University of Sao Paulo3
Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA3
Université de Biskra, Biskra, Algeria3
Northwestern Polytechnical University, Xi'an, P. R. China3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xian, Shaanxi, China3
Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia3
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China3
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics, Guilin University of Electronic Technology, Guilin, Guangxi, China3
School of Information and Communication Engineering, Dalian University of Technology, 116024, China3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Department of Computer Science and Engineering, Southwest Jiaotong University, Chengdu, China3
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, USA3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands3
The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China, 3100273
Center for Machine Vision and Signal Analysis, University of Oulu3
Central China Normal University, China3
Department of Electrical and Electronic Engineering, University of Nottingham Malaysia Campus, Malaysia3
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore3
Academic Center for Computing and Media Studies, Kyoto University, Kyoto, 606-8501, Japan3
Indian Institute of Information Technology Guwahati, Assam, India, 7810013
Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece3
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK3
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
133
123
Vision Lab in Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, 235293
Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France3
School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea3
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany3
Adv. Computer Architecture Lab., University of Michigan, EECS Dept., Ann Arbor, USA3
Cyber Security Cluster, Institute for Infocomm Research, Singapore3
CVC and C. Sc. Dpt. UAB, Barcelona, Spain3
Department of Computer Science, The University of Warwick, Coventry, UK3
Ghent University3
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS, UMR5205, F-69134, France3
University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, 78712, USA3
Faculty of Science, Abdelmalek Essaadi University, Tetouan, Morocco3
Advanced Technologies Application Center, 7a #21406 b/ 214 and 216, P.C. 12200, Playa, Havana, Cuba3
Villanova University, Villanova, PA, USA3
Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA3
Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)3
National Electronics and Computer Technology Center, Thailand3
Shanghai Advanced Research Institute, Chinese Academy of Sciences, China3
Nanjing University of Posts and Telecommunications, China3
University of Missouri Columbia, USA3
Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China3
Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland3
School of Computer Science and Software Engineering University of Wollongong, Australia3
University of Barcelona, Computer Vision Center3
RIKEN Center for AIP, Tokyo, Japan3
Fulda University of Applied Sciences, Fulda, Germany3
Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China3
Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan3
School of Electronics and Computer Science, University of Southampton3
Australian National University, Australia3
University of Waterloo, Canada3
University of Canberra, Australia3
WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France3
The Graduate Center, USA3
Department of Pervasive Computing, Tampere University of Technology, Tampere, Finland3
Phonexia, Brno-Krlovo Pole, Czech Republic3
Expert Systems, Modena, Italy3
Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany3
College ofcomputer science and technology, Harbin engineering university, 150001, China3
Electrical Engineering3
Guangdong Key Laboratory of Big Data Analysis and Processing, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China3
Institute for Creative Technologies, University of Southern California, 12015 E Waterfront Dr, Los Angeles, CA, USA3
Universidade de Pernambuco (UPE), Recife, Brazil3
Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany3
Chinese Academy of Science, Shenzhen Institutes of Advanced Technology, Shenzhen, China3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, SI-1000 Ljubljana, Slovenia3
Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA3
Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China3
School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 6397983
Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal3
IBISC, University of Evry, France3
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China3
Department of Computer Science, Faculty of Science, Khon Kaen University, Maung, Khon Kaen, Thailand, 400023
Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey3
State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China3
Tsinghua University, Beijing,China3
Media & Inf. Res. Labs., NEC Corp., Kanagawa, Japan3
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, P. R. China3
Università Politecnica delle Marche (Italy)3
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Institute for Infocomm Research, A∗STAR, Singapore3
School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, China3
Université Laval3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Shenzhen Key Lab. of Information Sci&Tech, Shenzhen Engineering Lab. of IS&DRM, Dept. of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Department of Mechanical Engineering and Intelligent Systems, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, Japan3
Department of Computer Science, The University of Hong Kong3
The Third Research Institute of the Ministry of Public Security, Shanghai, China3
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Institute for Information Industry3
Smart Media Research Center, Korea Electronics Technology Institute, Seoul, Korea3
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy3
University of Tübingen, Tübingen, Baden-Württemberg, Germany3
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea3
State Key Laboratory of ASIC and System, Fudan University, No. 825 Zhangheng Road, Shanghai, 201203, China3
NICTA, Canberra ACT, Australia and CECS, Australian National University, Australia3
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China3
Universidade NOVA Lisboa, Lisbon, Portugal3
Research Center of Intelligent Robotics, Shanghai Jiao Tong University, Shanghai 200240, P.R China3
People’s Public Security University of China, Beijing, China3
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Beijing, China3
ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran3
The University of Newcastle, Merz Court, Newcastle upon Tyne, NE1 7RU, United Kingdom3
Middle East University, Jordan3
ESAT-PSI / iMinds, KU Leuven, Belgium3
Institute of Image Transmission and Information Processing Shanghai Jiao Tong University3
Army Research Laboratory, Adelphi, Maryland, United States of America3
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
LEAR team, Montbonnot3
Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy3
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China3
Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon3
NLPR, Institute of Automation, Chinese Academy of Sciences3
Department of Control Science and Engineering, Tongji University, Shanghai, China3
School of Computer Science and Technology, Tianjin University, China3
University of Texas, Arlington3
University of Delaware, Newark, USA, 197163
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 1063
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China3
University of Newcastle, Australia3
Group of Biometrics, Biosignals and Security, GB2S, Centro de Domótica Integral, Universidad Politécnica de Madrid, Campus de Montegancedo. Pozuelo de Alarcón, 28223, Madrid3
Intel Labs Pittsburgh, USA3
Graduate School of Engineering Science, Osaka University, Japan3
Media IC and System Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taiwan3
Aristotle University of Thessaloniki, Greece3
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA3
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, Republic of China3
BITS Pilani, Pilani , India3
School of Automation, Northwestern Polytechnical University, Xi’an, China3
iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland3
Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Poland3
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil3
School of Electrical and Electronic Engineering, Singapore3
IRIP Laboratory, Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China3
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway3
Northwestern University, Evanston3
School of Information Technologies, University of Sydney, Sydney, NSW, Australia3
Facebook Inc., San Francisco, CA, USA3
Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil3
College of Computer Science and Information Technology, Northeast Normal University, Changchun, China3
SAGE, Advanced Systems in Electrical Engineering, Tunisia3
Kyungpook National University, Daegu, Korea3
University of Tübingen3
Distributed and Collaborative Virtual Environments Research Laboratory (DISCOVER), School of Information Technology and Engineering, University of Ottawa, K1N 6N5, Canada3
Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan3
Intelligent Robotics and Communication Laboratories, ATR, Japan3
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China3
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Japan3
University of Maryland, College Park, College Park, MD, USA3
Center for Research on Intelligent Perception and Computing (CRIPAC) and the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, #95, Zhongguancun East Road, Haidian District, PO Box 2728, Beijing, China3
School of Automation, HangZhou DianZi University, HangZhou, 3100003
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany3
Technische Universität Berlin, Berlin, Germany3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea3
School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Canada3
School of Electronics and Physical Sciences, University of Surrey, Guildford, UK3
College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China3
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University Chengdu, 610065, China3
Institute of Forensic Science, Ministry of Justice, Shanghai 200063, China3
Department of Computer Science, ETH Zürich, Switzerland3
Tsinghua University, Dept. of Computer Science and Technology, Beijing, China3
Dept. of Computer Science, University of Maryland, College Park, MD, USA3
Stevens Institute of Technology, Hoboken, NJ 07030, USA3
University of Maryland3
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ...3
Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China3
1Computer Vision Laboratory, ETH Zurich, Switzerland3
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001903
York University, Electrical Engineering and Computer Science, Toronto, Canada3
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland3
Biometric Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea3
Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany3
Visual Information Processing Laboratory, Department of Electronics Engineering, Tsinghua University, China3
NICTA, Queensland, Australia3
Department of Information and Communication Engineering, INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China3
ATR Intelligent Robotics and Communication Labs., Kyoto, Japan3
Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, JAPAN3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Computing, Curtin University, Perth, Australia3
Institute of Computing, University of Campinas, SP, Brazil3
Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands3
Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China3
Computer Engineering Department, Eastern Mediterranean University, Gazima¿usa, Northern Cyprus3
San Diego Supercomputer Center, 9500 Gilman Drive La Jolla CA, 92093-0505, USA3
Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia3
Institute of Power and Applied Electrical Engineering, FEI STU in Bratislava, Slovak republic3
Indian Institute of Technology Bombay, Mumbai, India3
University of Salerno, Fisciano, Italy3
Shenyang Institute of Automation, Chinese Academic of Sciences, Key Lab of Image Understanding and Computer Vision, The Key Laboratory of Optical Electrical Image Processing, Shenhe District, Shenyang, Liaoning, China3
Norwegian University of Science and Technology, Gj⊘vik, Norway3
School of Mechanical Engineering, Tongji University, Shanghai, 201804, China3
Institute of Neural Information Processing, University of Ulm, Germany3
Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany3
University of Michigan3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Australian Centre for Field Robotics, The University of Sydney, Australia3
School of Software Engineering, Xi'an Jiaotong University, Xi'an, 710049, China3
Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China3
College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan, China3
Department of Computer Science and Information EngineeringCommunications and Multimedia Laboratory, National Taiwan University, Taipei, Taiwan3
Florida International University, Miami, FL3
Department of Automation and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China3
Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea3
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia3
Toronto Rehabilitation Institute, Toronto, Ontario, Canada and University of Toronto, Toronto, Ontario, Canada3
University of Information Technology, Vietnam3
School of Engineering, Griffith University, Nathan, QLD, Australia3
Nanjing University of Science and Technology3
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY3
School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu Province, 21189, China3
School of Mechanical Engineering, University of Science and Technology Beijing, USTB, Beijing, China3
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, China3
Signal and Information Processing Laboratory, Beijing University of Technology, China3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 394063
Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India3
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia3
School of Electrical and Electronic Engineering, Yonsei University3
Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany3
Multimedia Lab., Toshiba Corp., Kawasaki, Japan3
Department of Computer Science, University of Southern California, Los Angeles, USA3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Key Laboratory of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China3
College of Electronic Science, National University of Defense Technology, Changsha, Hunan, China3
University of Minnesota3
School of Computer, Shenyang Aerospace University, Shenyang, China3
Washington University in St Louis, USA3
eScience Institute, University of Washington, Seattle, Washington United States3
National Engineering School of Sfax, REGIM (DGRST 01/UR/11-02), University of Sfax, Tunisia3
ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.3
Curtin University Bentley, Western Australia3
Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France3
Dept. of ECE, Seoul National University, Seoul, Korea3
Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany3
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany3
Graduate School of Information Science and Technology, Hokkaido University N-14, W-9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan3
Department of CSE, RMK Engineering College, Chennai3
Department of Automation, Tsinghua University, 100084 Beijing, China3
Department of Mathematics and Statistics, University of Electronic Science and Technology of China , Chengdu, China3
Department of Computer Science and Engineering, Jadavpur University, Kolkata-32, India3
School of Computer Science and Engineering, Beihang University, China3
School of Information Security Engineering, Shanghai Jiaotong University, No. 800 Dong Chuan Rd., 200240, Shanghai, China3
School of Information Science and Electrical Engineering, Kyushu University, Japan3
Dept. of Electrical Engineering, Indian Institute of Technology, Hyderabad3
Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia3
University of Denver, CO 80208, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan3
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China3
Department of Electrical and Computer Engineering, McGill University, Montréal, QC, Canada3
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India3
Columbia Univeristy, New York, NY, USA3
Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye3
University of Freiburg, Computer Science Institute, D-79110, Germany3
Center for Intelligent and Networked Systems, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, China3
Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France3
AKiiRA Media Systems Inc., Palo Alto, CA, USA3
Department of Computer Science, South Asian University, New Delhi, India3
Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA3
Center for Information Technology, UPES, Dehradun, India3
The University of Queensland, Australia3
Oregon State University, Corvallis, OR, USA3
Stanford University, USA3
State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China3
Department of Electrical and Computer Engineering, University of Denver3
Department of Computer Science & Engineering, University of Washington, Seattle, 98195, USA3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France3
Department of Electrical and Electronics Engineering, Nanyang Technological University, Singapore3
Technion, Haifa, Israel3
Image and Video lab, SAIVT Research Program, Queensland University of Technology, Brisbane, Australia3
Tongji University, China3
Department of Electrical Engineering, University of California, Riverside, 925213
Toyohashi University of Technology, Japan3
Department of Computer and Information Sciences, Temple University, Philadelphia, USA3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France3
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China3
School of Computer Software, Tianjin University, Tianjin, China3
University of Dundee, Dundee, UK3
School of Electrical and Computer and Telecommunications Engineering, University of Wollongong, North Wollongong, NSW 2522 Australia3
LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France3
Otto-von-Guericke University of Magdeburg, Magdeburg, Germany3
Sch. of EECS, Ohio Univ., Athens, OH, USA3
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518055, China3
Department of Computer Science & Technology, Tongji University, Shanghai, P. R. China3
College of Information Science and Engineering, Ritsumeikan University, Shiga, 525-8577, Japan3
UNC Charlotte, Charlotte, NC, USA3
School of Computing Science and Engineering, VIT University, Vellore, India3
Department of Computer Science, National University of Singapore, Singapore3
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
Advanced Technologies Application Center (CENATAV), 7A ♯21406 Siboney, Playa, P.C.12200, Havana, Cuba3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, China3
Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China3
The Univ of Hong Kong, China3
AGH University of Science and Technology Krakow, Poland3
Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France3
Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura, Saitama 338-8570, Japan3
Princeton University, Princeton, USA3
KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium3
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China, 2300273
Department of Computer Science and Engineering, Michigan State University, USA3
Hanoi University of Science and Technology3
Indian Institute of Information Technology, Guwahati, India3
Rutgers University, Piscataway, USA3
Kentkart İzmir, TÜRKİYE3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
Department of Informatics, Aristotle University of Thessaloniki, 54124, Greece3
School of Computer Science, Beijing Institute of Technology, China3
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, China3
Faculty of Computer, Guangdong University of Technology, Guangzhou, China3
Chinese University of Hong Kong, Hong Kong, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California San Diego, La Jolla, CA, USA3
Key Laboratory of Machine Perception(MOE), Peking University, Beijing 100871, China3
School of Technology, Nanjing Audit University, Nanjing, China3
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China3
School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, 565-0871 Japan3
National ICT Australia3
Department of Electronic Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan3
Dept. of Electrical and Computer Engineering & Centre for Intelligent Machines, McGill University, Montreal, Quebec, Canada3
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain3
Department of Computer Science, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea3
School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia3
School of Engineering and Computer Science, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand3
Department of Computer Science and Technology, Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China3
Dept. of Computer Science, Suez Canal University, Ismailia, Egypt3
TELIN-IPI, Ghent University, imec Sint-Pietersnieuwstraat, Gent, 41 B-9000, Belgium3
Departmet of Informatics Engineering, Engineering Faculty, Mataram University, Jl. Majapahit 62, Lombok, Indonesia3
School of Information Science and Technology, East China Normal University, Shanghai, China3
Computer Vision Lab, Vienna University of Technology3
College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan3
Department of Computing, Curtin University, Western Australia, WA 61023
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan3
Department of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, Tyne and Wear3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
School of Artificial Intelligence, Xidian University, China3
Ashikaga Institute of Technology, Ashikaga, Japan3
School of Computer and information, HeFei University of Technology, Hefei, China3
National University of Defense Technology, Changsha, Hunan Prov., China3
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan3
DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy3
School of Engineering and Applied Science, Ahmedabad University, India3
Computer Engineering Department, Sharif University of Technology., Tehran, Iran3
Institute of Industrial Science, The University of Tokyo3
Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA3
Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China3
TU Braunschweig, Institute of Control Engineering, Germany3
EECS Department, Northwestern University, Evanston, IL, USA3
HumanTech Institute, HES-SO, Fribourg, Switzerland3
Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong3
Faculty of Information Science and Engineering, Ningbo University, Ningbo, China3
Beijing Institute of Graphic Communication, Beijing3
Indian Institute of Science, Bengaluru, India3
Department of Computer Science, University of Toronto, ON M5S, Canada3
Computer Science Department, Cognitive Systems Group, Reutlingen University, Germany3
Dept. of Computer Sciences, ASIA Team, Moulay Ismail University, Faculty of Science and Techniques, BP 509 Boutalamine 52000 Errachidia, Morocco3
University of Edinburgh, UK3
Electrical Engineering Department, Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan3
Université du Québec à Chicoutimi (UQAC)3
Guangzhou University, Guangzhou, China3
SMILES Laboratory, Xi’an Jiaotong Univeristy, Xi’an, China3
College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China, 3000723
School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
Department of Electrical and Computer Engineering, University of Macau, Macau, China3
Shanghai Jiao Tong University & Alibaba Group, Shanghai, China3
Communication Systems Group, Technische Universität Berlin, EN 1, Einsteinufer 17, 10587 Berlin, Germany3
EUP Mataró, Spain3
Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK3
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-732 Korea3
College of Engineering, Huaqiao University, Quanzhou, China3
The University of Texas at Arlington3
School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Alibaba, Hangzhou, China3
School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China3
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 531003
Media Integration and Communication Center, University of Florence, Firenze, Italy3
School of Information Technology and Electrical Engineering, The University of Queensland3
School of Information Science and Technology, Xiamen University, Xiamen, P. R. China3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China3
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China3
Multimedia Communication and Pattern Recognition Lab, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China3
Computer Science Department, Texas State University, San Marcos, TX, USA3
Institute of Computer Science VI, University of Bonn, Germany3
Faculty of Telecommunications, TU-Sofia3
Caltech, USA3
University Of Washington3
Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile3
School of ECE, Peking University Shenzhen Graduate School, Shenzhen, China3
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana USA3
Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA3
Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria3
College of computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China3
IT University of Copenhagen, Copenhagen, Denmark3
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924 Lodz, Poland3
FDNA inc., Herzliya, Israel3
Learning Affect and Semantic Imaging (LASII) Group, Indian Institute of Technology Ropar, India3
Faculty of Engineering, University of Fukui, Japan3
Shenzhen Institutes of Advanced Technology, the Chinese Academy of Sciences, China3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China3
Software School, Shenyang University of Technology, China3
University of North Carolina Wilmington, USA3
UC Berkeley, California, United States3
University of Calgary3
Advanced Virtual and Intelligent Computing (AVIC) research center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand3
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China3
School of Electronics and Information Engineering, Soochow University, Suzhou, 215006, P. R. China3
Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA3
HCC Lab, Vision & Sensing Group, University of Canberra, Australia3
University of Burgundy, Le2i, BP 47870 21078 Dijon, France3
Department of Computer Science and Engineering, POSTECH, Korea3
CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France3
School of Information Science and Engineering, Xiamen University, Xiamen 361005, China3
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar-799022, Tripura (W), India3
Department of Computer, Science Seattle University, WA, USA3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, 27411, USA3
Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan3
Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA3
Department of Electrical Engineering, National Taipei University, New Taipei City, Taiwan3
Institute of Information Science, Beijing JiaoTong University, 100044, China3
Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan3
Sabanci University, Turkey3
Information Technologies Institute / CERTH, Thessaloniki, Greece3
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia3
Rutgers University3
NTT Corporation, Atsugi, Japan3
Computer Graphics and Immersive Technologies (CGIT) laboratory of Computer Science department, University of Southern California, CA, USA3
University of Buckingham, Buckingham, United Kingdom3
School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China3
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel3
Department of Radiology and the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA3
Department of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China3
School of Information Science and Engineering, Ocean University of China, Qingdao, China3
University of Melbourne, Australia3
Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile3
Oxford Brookes University, Oxford, UK3
Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China3
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany3
State Key Lab. LIESMARS, Wuhan University, China3
Multimedia Department, EURECOM, 2229 Route des Cretes, 06560 Sophia-Antipolis, France3
State Key Laboratory on Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, China3
Hubino Computer Vision & Artificial Intelligence R&D Lab, Hubino Technologies Private Limited, Chennai, India3
Universiti Malaysia Sarawak, Kota Samarahan, Malaysia3
Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia, Johor Bahru, Malaysia3
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China3
Computer Vision Lab, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando3
LIP, UPMF, Grenoble, Cedex3
University of Milan, Italy3
IDIAP Research Institute, Martigny Lausanne3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, USA3
Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey3
Department of Mechanical Engineering, Ajou University, Suwon, Korea3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China3
Dublin Institute of Technology, Dublin, Ireland3
Railway Technical Research Institute, 2-8-38 Hikari-cho, Kokubunji-shi, Tokyo, Japan3
School of Computer Science and Software Engineering, University of Wollongong, Wollongong, Australia3
Australian Center for Visual Technologies, and School of Computer Science, The University of Adelaide, Adelaide, Australia3
Keio University, Yokohama, Japan3
SoC Platform Research Center, Korea Electronics Technology Institute, Yongin and Sungnam, Republic of Korea3
Graduate Institute of Networking and Multimedia and the Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Information Technology, Dharmsinh Desai University, Nadiad, India3
NICTA and School of ITEE, The University of Queensland, Level 5, Axon Building, Staff House Rd, St Lucia, The University of Queensland, Australia3
Universitat Politècnica de Catalunya, Barcelona, Spain3
Department of Computer Science, Xi'an Jiaotong-Liverpool University, Suzhou, China3
KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan3
University of California, at Berkeley3
Image and Video Research Laboratory, Queensland University of Technology, Queensland, Australia3
Department of Computer Science, TU Darmstadt, Darmstadt, Germany3
Eindhoven University of Technology, Eindhoven, Netherlands3
Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt3
Institute for Human-Machine Communication, Technische Universität München3
Department of Electronics Information Engineering, Xi'an Technological University, China3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
Department of Industrial Engineering, Università degli Studi di Salerno, Italy3
MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 024203
University of Utah, Salt Lake City, UT, USA3
Dalian University of Technology, School of Software Tuqiang St. 321, Dalian, 116620, China3
School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India3
Toshiba Corporation Yokohama, Kanagawa, Japan3
Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA3
Shenzhen Graduate School, Peking University, Shenzhen, China3
Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany3
Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany3
School of Communication Engineering, Hangzhou Dianzi University, China3
School of Computer Science, Hubei University of Technology, Wuhan, China3
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong3
School of Electrical and Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China3
Pompeu Fabra University, Barcelona3
University of Kent, Canterbury3
TELECOM & Management SudParis, Evry3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom3
Michigan State University, East Lansing, 48824, USA3
Department of Computer Science and Technology, Huaqiao University, Xiamen, China3
EECS Department, Northwestern University, 2145 Sheridan Road, Evanston, IL 602083
Data Science Department EURECOM, Biot, France3
Department of Computer and Information Science, Fordham University, Bronx, NY 10458, USA3
Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy3
Harvard University, Boston, MA, USA3
Department of Information Engineering at the University of Padua, Italy3
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China3
Aalto University, Helsinki, Finland3
Graduate Institute of Networking and Multimedia, National Taiwan University, Taiwan3
Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan3
University of California, Riverside, Riverside, CA, USA3
Osaka University Osaka, Japan3
Centre for Research and Technology Hellas, Thessaloniki, Greece3
LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France3
Media Integration and Communication Center, University of Florence, Florence, Italy3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China3
School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea3
Radboud University Nijmegen, Nijmegen, The Netherlands3
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China 4300743
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong3
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
Institute of Robotics and Automatic Information System (IRAIS) and the Tianjin Key Laboratory of Intelligent Robotic (tjKLIR), Nankai University, Tianjin 300071, China3
Chinese Academy of Sciences, China3
Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal3
Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea3
Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran3
UtopiaCompression Corporation, 11150 W. Olympic Blvd, Suite 820, Los Angeles, CA 90064, USA3
Dept. of Comput. Sci., London Univ., UK3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore and the ST Engineering - NTU Corporate Lab, Nanyang Technological University, Singapore3
Research Institute of Computer Science and Technology, Ningbo University, China, 3152113
University of Texas at Austin, Austin3
Department of Cognitive Science and Technology and Fujian Key Laboratory of Brain-Like Intelligent Systems, Xiamen University, Xiamen, China3
Key Laboratory of Machine Perception (Ministry of Education) Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE3
School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China3
The Pennsylvania State University, University Park, 16802, USA3
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil3
Department of Computer Engineering, Uka Tarsadia University, Bardoii, India3
Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain3
School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, 75080, USA3
Department of Engineering “Enzo Ferrari,”, University of Modena and Reggio Emilia, Modena, Italy3
FZI Research Center for Information Technology, Karlsruhe, Germany3
Universidade de São Paulo, São Paulo, São Paulo3
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany3
School of Software Engineering, Chongqing University, 401331, China3
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China3
The Hong Kong Polytechnic University, Hong Kong, P. R. China3
Osaka University3
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University3
Visual Analysis of People Laboratory, Aalborg University, Aalborg, Denmark3
University of Southern California, and USC Institute for Creative Technologies3
Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan3
Department of Electrical and Computer Engineering (ECE) Isfahan University of Technology (IUT), Isfahan, 84156-83111, Iran3
INRIA Grenoble Rhône-Alpes Research Center, 655 avenue de l'Europe, 38 334 Saint Ismier Cedex, France3
School of Computing, Informatics, Decision System Engineering, Arizona State University, Tempe, AZ, 85287, USA3
GRADIANT, Spain3
Katholieke Universiteit Leuven3
LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France3
Ubiquitous Computing, Lab, Kyung Hee, University, Korea3
Computer Sci. & Tech. Dept., Tsinghua University, Beijing 100084, P. R. China3
Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany3
Faculty of Computer and Information Science, University of Ljubljana, Trřaška 25, Slovenia3
National Institute of Standards and Technology, Gaithersburg, MD, USA3
Indian Institute of Information Technology, Allahabad-211012, India3
CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France3
Department of Computer Science, Stanford, CA 94305, U.S.A.3
Department of computer science, Beijing Institute of Graphic Communication, China3
Department of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, N9B 3P4, Canada3
University of Texas at Arlington, Arlington, TX, 760193
School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China3
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA3
National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 1001903
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China3
Department of CS&E, Indian Institute of Technology, Madras, India3
Computer Science and Electrical Engineering of GSST, Kumamoto University, Japan3
CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France3
Computer Engineering, Rochester Institute of Technology, New York 14623-5603, United States of America3
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R China3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R China3
Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
CVPR Unit, Indian Statistical Institute, Kolkata 700108, India3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
Universiti Teknologi Malaysia3
Xerox Research Center in Webster, NY 14580, USA3
Faculty of Mechanical Maritime and Materials Engineering, Delft University of Technology, The Netherlands3
University of Manitoba, Winnipeg, Canada3
School of Electronics and Information Engineering, Beihang University, and National Key Laboratory of CNS/ATM, Beijing, 100191, P. R. China3
MICC - Media Integration and Communication Center, University of Florence3
IBM T. J. Watson Research Center, Yorktown Heights, NY 10532, USA3
Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France3
Electrical and Computer Engineering3
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China3
Disney Research Pittsburgh, Pittsburgh, PA, USA3
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University, Beijing, China3
Information Engineering School, Zhengzhou University, China3
School of Automation, Southeast University, Nanjing 2100963
School of Communication and Information Engineering3
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, China3
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
Yonsei University, Seoul 03722, South Korea3
Univ. Bordeaux, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France3
University of California Santa Barbara3
National Laboratory of Pattern Recognition CAS Center for Excellence in Brain Science and Intelligence Technology Institute of Automation, Chinese Academy of Sciences, 100190, China3
University of Paris 8 - Vincennes, Saint-Denis3
Center for Research on Intelligent Perception and Computing, Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences3
Sfax University, Tunisia3
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA3
Tianjin University, China3
School of Automation, Huazhong University of Science and Technology, Wuhan, China3
Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand3
Department of Computer Science, Punjabi University, Patiala, India3
College of Science Shengyang, Ligong University, Shenyang, 110159, China3
School of Computer Science, Carnegie Mellon University, Pittsburgh, USA3
Graduate School of Shenzhen, Tsinghua University, Beijing, China3
Institute for Advanced Computer Studies, University of Maryland, College Park, USA3
College of Computer Science, Nanjing University of Science and Technology, 210094, China3
Graz University of Technology, Graz, Austria3
MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China3
Department of Electrical and Computer Engineering, University of Windsor, Canada3
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Malaysia3
University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China3
Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China3
Department of Computer Science, School of Computing, National University of Singapore Computing 1, 13 Computing Drive, Singapore 1174173
Bar Ilan University, Ramat Gan, Israel3
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China3
Department of Computer Science and Engineering, State University of New York (SUNY) at Buffalo, Buffalo, NY 142603
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil3
Information Technologies Institute, Centre of Research & Technology - Hellas, Thessaloniki 57001, Greece3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom3
University of Louisville, CVIP Lab, KY, USA3
School of Optical Engineering, Beijing Institute of Technology, Beijing, China3
Computer Vision Laboratory ETH Zurich, UK3
R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal3
National Laboratory for Parallel and Distributed Processing, School of Computer, College of Computer, National University of Defense Technology, Changsha, China3
KDDI Research, Saitama, Japan3
Department of Computer Science, University of Otago, Dunedin, New Zealand3
IMAGO Research Group, Universidade Federal do Paraná, Brazil3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, China3
Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
Sharif University of Technology, Tehran, Iran3
Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K33
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China3
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany3
Data Analytics Technology & Applications Research Institute, Institute for Information Industry3
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Intel Labs China, Beijing, China3
IBM Research, Yorktown Heights, NY, USA3
Swiss Federal Institute of Technology, Switzerland3
Department of Computer Science and Operations Research, University of Montreal, Canada3
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China3
Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria3
Research School of Engineering, Australian National University, Canberra, Australia3
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary3
D.I.I. - University of Modena and Reggio Emilia, Italy3
School of Mathematical Sciences, Xiamen University, Xiamen, China3
Software School, Xiamen University, Xiamen, China3
INRIA, Rocquencourt, France3
Department of Computer Science and Engineering, Fudan University, Shanghai, China3
Department of Computing, the Hong Kong Polytechnic University, Hong Kong, China3
Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil3
Amirkabir University of Technology, Tehran, Iran3
Dept of CSE, IIT, Guwathi, India3
Chongqing University, Chongqing, China3
Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA3
SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia3
Department of Electrical and Computer Engineering, University of Missouri, MO, 65211, USA3
Intelligent Data Center, School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
School of Information Science and Engineering, Xiamen University, Xiamen, 361005, China3
Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea3
Guangdong Key Lab of Comp. Vis. & Vi. Real., Shenzhen Institutes of Advanced Technology, CAS, China3
Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia3
NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan3
Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 USA3
One Microsoft Way, Redmond, WA, USA3
Computer Science, University of Houston, Texas 77004, United States of America3
LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco3
Shanghai Institute of Applied Physics, Chinese Academy of Science, China3
Mando Softtech India Pvt. Ltd., Gurgaon, India3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
GRAVIR Laboratory, INRIA, Montbonnot, France3
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil3
Dept. of Computer Science and Engineering, University of Notre Dame3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China3
School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China3
CVN, CentraleSupelec, INRIA, Universite Paris-Saclay, Gif-Sur-Yvette, 91190, France3
Cognitive Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China2
Bio-computing research center, Shenzhen Graduate School Harbin Institute of Technology, China2
San Jose State University, Department of Computer Science, San Jose, CA, U.S.A.2
IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran2
Department of Electronics, University of Alcala, Madrid, Spain2
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 1175762
U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO, USA2
SoC Platform Center, Korea Electronics Technology Institute, SeongNam, Republic of Korea2
Department of Electrical Engineering, Universidad de Chile, Av. Tupper 2007, Santiago, Chile2
Department of Computer Science, Florida State University, Tallahassee, 32306, USA2
University of Seville , Seville, Spain2
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electrical Engineering, Indian Institute of Technology Kanpur, UP, India 2080162
Computer Vision Lab, ETH Zurich, Switzerland2
Ritsumeikan University, Kasatsu-shi, Japan2
Dept. of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America2
National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, P.R. China2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Korea2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
University of Massachusetts-Amherst, Amherst, MA, USA2
Dept. of CSE, Indian Institute of Technology Guwahati, Guwahati, Assam, India2
Technical University of Catalonia, Barcelona, Spain.2
Faculty of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Iran2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Computer Engineering Program, University of Virginia, Charlottesville, Virginia 229042
School of Electrical and Computer Engineering, RMIT University Melbourne, Australia2
College of Mathematics and Computer Science, Fuzhou University, Fujian 350116, China2
Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany2
Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland2
Robotics Institute at Carnegie Mellon University, USA2
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland2
Siemens Corporate Technology, Princeton, NJ, USA2
University of Siena, Siena, Italy2
Department of Computer Science, University of California at Irvine, Irvine, CA, USA2
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Chuangyeyuan Rd, Longgang, Guangdong, China2
Peking University Shenzhen Graduate School & Peking University, Beijing, China2
Computer Vision and Robotics Research Laboratory, University of California San Diego, United States of America2
Universidad de Las Palmas de Gran Canaria (ULPGC), Spain2
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia2
Nanyang Technological University, Block N4, Nanyang Avenue, Singapore2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, 2100942
Department of Computer Science, University of Indonesia, Depok 16424, Indonesia2
College of Information Engineering, Shanghai Maritime University, Shanghai, China2
Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan2
Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece2
Faculty of Engineering, Bar Ilan University, Israel2
Charles Perkin Centre, Faculty of Medicine, University of Sydney, Australia2
Charles Perkin Centre, Faculty of Engineering, University of Sydney, Australia2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Samsung Research America2
U. of California, Santa Barbara, USA2
Scientific Association of Electrical and Electronic Engineering, Islamic Azad University Central Tehran Branch, Iran2
Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark2
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine2
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, CHINA2
School of Computer Science, Northwestern Polytechnical University, Xian, Shaanxi, China2
Intel Corporation, Singapore, Singapore2
School of Software Engineering, Beijing University of Technology, P.R. China2
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Department of Artificial Intelligence University of Groningen, Bernoulli Institute, Groningen, The Netherlands2
Centre for Development of Advanced Computing (CDAC), Kolkata, India2
Department of Electrical and Computer Engineering, University of Massachusetts, 285 Old Westport Road, North Dartmouth, MA, 02747, USA2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
The University of Alberta, Canada2
Kimia Lab, University of Waterloo, Waterloo, Canada2
Mechanincal and Mechatronics Engineering, University of Waterloo, Waterloo, Canada2
Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria2
Department of Respiratory Medicine, Shanghai Jiao Tong University, 200240, China2
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China2
Charles Sturt University, Wagga Wagga NSW, Australia2
Sunway University, Selangor, Malaysia2
Hexi University, Center for Information Technology, Zhangye, China2
Computer Engineering, Rochester Institute of Technology, Rochester, USA2
Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan2
Global Big Data Technologies Centre (GBDTC), University of Technology Sydney, Australia2
School of Computer Science and Engineering, Northwestern Polytechnical University, P.R.China2
Department of Computer Science, Rani Channamma University, Belagavi, Karnataka, India2
Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan2
Research School of Engineering, National ICT Australia, Australian National University, Canberra, ACT, Australia2
Department of Computer Science, Rutgers University, Piscataway NJ, USA2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Bilgisayar Mühendisliği Bölümü, Ankara Yıldırım Beyazıt Üniversitesi, Ankara, Türkiye2
Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli-627012, India2
Department of Electrical Engineering, American University of Sharjah, UAE2
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador2
King Abdulaziz University, Jeddah, Saudi Arabia2
Computer Science Department Technical University of Cluj-Napoca, Romania2
University of Mauritius, Reduit, 230, Mauritius2
Fraunhofer Institute for Computer Graphics Research (IGD), Darmstadt, Germany2
Autonomous University of Barcelona, Bellaterra (Cerdanyola), Barcelona, Spain2
UFMG & Kunumi, Belo Horizonte, Brazil2
EECS, Northwestern University, USA2
Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, ON, Canada2
Idiap Research Institute, Martigny and EPFL, Lausanne, Switzerland2
Multimedia Technology Group, Vigo University, Pontevedra, Spain2
National Kaohsiung University of Science and Technology2
Department of Computer Science, University of Calgary, Canada2
Department of Computer Engineering, Bogazici University, Istanbul, Turkey2
Korea Advanced Institute of Science and Technology2
Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany2
New Jersey Institute of Technology, Department of Electrical & Computer Engineering, University Heights Newark, NJ 07102 USA2
Center for Biometrics Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of computer science, University of Bridgeport, Bridgeport, CT, 06604, USA2
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China2
Department of ECE, ASRI, Seoul National University2
New Jersey Institute of Technology, Department of Computer Science, Newark, NJ 07102 USA2
Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece2
Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27, Czech Republic2
Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain2
Strategic Analytics, lastminute.com group, Chiasso, Switzerland2
University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 72
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001902
Computer Science and Engineering, Easwari Engineering College, Chennai, India2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
IBM Research - Tokyo, Japan2
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Computer & Energy Engineering, Arizona State University, School of Electrical, Tempe, Arizona, USA2
Department of Computer Science & Engineering, University of Ioannina, 45110, Greece2
Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany2
University of Illinois at Urbana-Champaign, IL2
CEA, LIST, France2
Jiangsu University of Science and Technology, Zhenjiang, China2
Department of Statistics and the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA2
Department of Computer Science and Engineering, Michigan State University, E. Lansing, MI 48824, USA2
Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore2
IIIT Guwahati2
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA2
School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia2
Center of Excellence in Science and Technology, Islamabad, Pakistan2
Department of Mechanical Engineering, National University of Singapore, 117576, Singapore2
Department of Computer Engineering, Alzahra University, Tehran, Iran2
RET, Las Vegas, Nevada2
BV-Tech Ricerca, Rovereto (Italy)2
FBK Trento (Italy)2
DISI - University of Trento, Trento (Italy)2
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia2
Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu2
University of Borås, Borås, Sweden2
Stanford University, 350 Serra Mall, CA, USA2
Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA2
National school of electronics and telecommunications, University of Sfax, Tunisia2
Osaka University Health Care Center, Japan2
Applied Informatics, Faculty of Technology, Bielefeld University, Germany2
Dept. of Computer Science, Rutgers University, Piscataway, NJ 08854, USA2
Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain2
Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China2
Space Control and Inertial Technology Research Center, Harbin Institute of Technology, China2
Morpho, SAFRAN Group, 11 Boulevard Galliéni 92130 Issy-Les-Moulineaux - France2
Faculty of Engineering and Information Technologies, UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies, University of Sydney, 6 Cleveland St, Darlington, NSW, Australia2
Department of Computer Engineering, Siirt University, Siirt, Turkey2
Biometric Technologies Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Alberta, T2N 1N4 Canada2
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea2
Center for Exact Humanities (CEH), IIIT, Hyderabad, India2
Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj⊘vik, Norway2
International Institute of Information Technology (IIIT) Hyderabad, India2
School of Information Science, Computer and Electrical Engineering, Sweden2
Active Safety CAE, Volvo Cars Corporation Department, Volvo Cars AB, Sweden2
Dept. of Signals and Systems, Chalmers Univ. of Technology, Gothenburg, 41296, Sweden2
Institut d'Électronique Fondamentale - Universite Paris Sud2
Renault S.A.S.2
Dept. of Computer Science & Engineering, Arizona State University, Tempe, 85287, USA2
Electronics Department, University of Alcalá (UAH), Spain2
Centre for Vision Speech and Signal Processing, University of Surrey, UK2
Computer and Electronics Security Systems, Northumbria University, UK2
Institute of Robotics, Innopolis University, Russia2
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA2
Daimler AG, R&D, Germany2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Beijing, China2
Key Laboratory of Machine Perception, Ministry of Eduction, Peking University, Beijing, China2
Universitat Autònoma de Barcelona2
Electr. Eng. & Comput. Sci. Dept., Northwestern Univ., Evanston, IL, USA2
University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Graduate School of Informatics, Kyoto University2
Academy of Broadcasting Science, Beijing, P.R. China2
Center for Computational Biology, MINES ParisTech, PSL Research University, Paris, France2
Xinjiang University, China2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil2
Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan2
Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University2
Institute of Logic and Intelligence, Southwest China University, Chongqing, China2
Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus2
Electronic and Electrical Engineering Department, University College London2
School of Computing Information Sciences, Florida International University2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey2
Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand2
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Electrical Engineering and Computer Science, University of California at Merced, Merced, USA2
Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea2
Korea Electronics Technology Institute, Seongnam, Republic of Korea2
Miguel Hernandez University, Av. Universidad s/n. 03202 Elche (Spain)2
Department of ECE, UCEK, JNTUK, Kakinada2
Kunming University of Science and Technology, Kunming, China2
CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France2
Department of Information Technology, Uppsala University, Sweden2
Disney Research, Pittsburgh, PA, USA2
Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Cranfield University, Shrivenham SN6 8LA, United Kingdom2
Beijing Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA2
Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-2080162
Department of Computer Science and Engineering, University of Califonia, San Diego2
Department of Computer Science and Technology, Tsinghua University, Beijing2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, SEOUL, Republic of Korea2
Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia2
School of Communication Engineeringm, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China2
Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh2
Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus2
Department of Computer Science, San Jose State University, San Jose, CA2
School of Design, South China University of Technology, Guangzhou 510006, China2
MNIT Jaipur, India2
CIISE, Concordia University, Montréal, Québec, Canada2
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland2
Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador2
Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador2
University of Paris 13, Villetaneuse, France2
Aix Marseille Univ LIF/CNRS, France2
Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan2
The Open University of Israel, Israel2
Yahoo Labs, Bangalore, India2
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an Shaanxi, China2
Griffith School of Engineering, Griffith University, Brisbane, Australia2
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Shenzhen, China2
Skolkovo Institute of Science and Technology (Skoltech), Novaya Street 100, Moscow Region, Russia2
Center for Automation Research, EE Department, University of Maryland, College Park, 20742, USA2
Institute for Digital Communications, University of Edinburgh, UK2
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 021382
The Rowland Insitute at Harvard, Harvard University, Cambridge, MA 021422
College of Information Science and Engineering, Ocean University of China, Qingdao, China2
Halmstad University, Halmstad, Sweden2
Department of Electronic Science and Technology, Tongji University, Shanghai, 201804, China2
Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China2
Linköping University, Linköping, Sweden2
College of Computer Science, Central China Normal University, Wuhan, China2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Video and Image Processing System (VIPS) Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China2
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
Service Systems Technology Center, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan 31040, R.O.C2
Department of Electrical Engineering, University of Washington, Box 352500, Seattle, WA 98195, USA2
Poznan University of Technology, Department of Computing, Division of Signal Processing and Electronic Systems, Poznań, Poland2
CyLab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA2
University College London, Department of Computer Science, WC1E 6BT, UK2
Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur (MS), India2
Laboratory ISA Faculty of Science and Technology, Fez, Morocco2
Photogrammetry and Remote Sensing, ETH Zürich, Switzerland2
University of Waterloo, Waterloo, ON, Canada, N2L 3G12
Ideal Institute of Information and Technology, Northeast Normal University, NENU, Changchun, China2
Boǧaziçi University, Istanbul, Turkey2
The University of Manchester, Manchester, UK2
Faculty of Science and Technology, University of Macau, Macau 999078, China2
Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan2
Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand2
Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece2
Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria2
Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria2
University of Hong Kong, China2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Kampus Jasin, 77300 Merlimau, Melaka, Malaysia2
School of Electronics and Information Technology, Sun Yat-Sen University2
MICC, University of Florence, Florence, Italy2
Electronics and Communication Engineering, Karunya University, Coimbatore, India2
Faculty of Mathematics and Natural Sciences, University of Bonn, Germany2
Sabanci University, Istanbul, 34956, Turkey2
Department of Mechanical Engineering, National Taiwan University, 10647, Taipei, Taiwan2
King Abdullah University of Science and Technology (KAUST), Saudi Arabia2
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand2
University of Colorado at Colorado Springs, Colorado Springs, CO, USA2
Affectiva, Waltham, MA2
School of Computer Science, Shaanxi Normal University, Xi'an, China2
Korea Electronics Technology Institute, South Korea2
Grupo de Investigación en Automática, Universidad Tecnológica de Pereira2
STARS team, Inria Sophia Antipolis-Méditerranée, Sophia Antipolis, France2
Computing and Information Systems, Kingston University London, UK2
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning Province, China2
School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning Province, China2
Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China2
Automation Department, North China Electric Power University, Baoding, 071003, China2
Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada2
Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore2
Department of Information Science and Technology, Anna University, Chennai, India2
Department of Computer Science, University of Houston, TX 77004, United States of America2
JD Artificial Intelligence Research, Beijing, China2
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong2
School of Engineering, Cardiff University, UK2
Islamic Azad University, South Tehran Branch, Electrical Engineering Department, Iran2
Autonomic Comput. Lab., Athens Inf. Technol. Inst., Greece2
Department of Automation, University of Science and Technology of China, Hefei 230027, China2
Research School of Computer Science, Australian National University, Australia2
California State University, Fullerton2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
LITIV Lab., Polytechnique Montreal2
University of Minnesota, MN, USA2
Zhejiang University of Technology, Hangzhou, PR China, China2
Department of Computer and Information Science, University of Macau2
Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey2
Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan2
Department of Automation, Shanghai Jiao Tong University, China2
Graduate School, Air Force Engineering University, Xi’an, China2
University of Wollongong, School of Electrical Computer Telecommunication Engineering, Wollongong, Australia2
Multimedia Communications Department, EURECOM, Sophia-Antipolis, FRANCE2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Northwestern Polytechnical University Xian, P. R. China2
Northwestern Polytechnical University, Xian, P. R. China, and UNC-Charlotte, Charlotte, NC2
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China2
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 2002402
Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy2
Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea2
Queen Mary, University of London, London, UK2
Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE2
Information Engineering and Medical Imaging Group, City University London, London, UK2
Ryerson Multimedia Lab, Ryerson University, Canada2
Nanjing Research Institute of Electronics Engineering, Nanjing, China2
Technological Educational Institute of Thessaloniki, Dpt. of Electronics, Sindos, Thessaloniki, Greece2
Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France2
Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil2
School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China2
Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece2
Dept. of Electrical and Computer Engineering, Western Michigan University, USA2
Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA2
Electrical and Electronic Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey2
Dept. of Electrical and Electronic Eng., The University of Melbourne, Australia2
Center for Design Research, Stanford University, CA, USA2
Institute of Computing, University of Campinas (UNICAMP), SP, 13083-852, Brazil2
National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8568, Japan2
Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina2
Department of Mathematics and Computer Science, Northeastern State University, OK, USA2
University of Illinois at Chicago2
George Mason University, Fairfax, USA2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Corp. Res. & Dev., Toshiba Corp., Tokyo, Japan2
School of Science, Beijing University of Posts and Telecommunications, Beijing, China2
Laboratory of Computer Vision and Media Technology, Aalborg University, Denmark2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
UR: SAGE-ENISo, University of Sousse2
Department of Computer Science, Cornell University, Ithaca NY, 14853, USA2
Comput. Vision Lab., Maryland Univ., College Park, MD, USA2
Student, IEEE2
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061, USA2
Istanbul Technical University, Informatics Institute, 34469, Turkey2
FORWISS, University of Passau, Passau, Germany2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Dept. of Computer Science and Applications, Gandhigram Rural Institute - DU, Dindigul, India2
FMV IŞIK Üniversitesi, Şile, Istanbul2
College of Information Engineering, Nanchang University, Nanchang, China2
Department of Computer ScienceComputational Biomedicine Laboratory, University of Houston, Houston, TX, USA2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
CVIT, IIIT Hyderabad2
School of Engineering Science, Simon Fraser University, Burnaby, Canada2
Computer Vision Laboratory, GIST, South Korea2
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology2
Academy of Broadcasting science, Beijing, China, 1008662
Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey2
University of Illinois at Urbana-Champaign (UIUC)2
Florida Atlantic University, Boca Raton, FL, USA2
Department of Electrical and Computer Engineering, University of Delaware, Newark, USA2
Computer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China2
Department of Computer Science, Drexel University, USA2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
Rapid-Rich Object Search Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
The School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, P.R. China2
Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain2
POSTECH, 37673 Pohang, Korea2
LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France2
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu university, Fukuoka, Japan2
Department of DMC Engineering, Sungkyunkwan University, Suwon, South Korea2
Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada2
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian, 350116, China2
School of Information Technology and Electrical Engineering, the University of Queensland, Australia2
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C2
UIIP, Minsk, Belarus2
BSUIR, Minsk, Belarus2
South Base, China Mobile, Guangzhou, China2
Indian Institute of Technology, Kharagpur, West Bengal 721302, India2
School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China2
Robert BOSCH Research and Technology Center, Palo Alto, CA 94304, USA2
National Chung Hsing University, Taichung2
Università di Salerno, Fisciano (SA), Italy2
School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA2
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba2
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy2
ACTLab, University of Passau, DE2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, School of Computer Science, Beijing Institute of Technology, Beijing, China2
National Technical University of Athens, Heroon Polytechniou, Athens2
German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany2
College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland2
Swinburne University of Technology, Hawthorn, Australia2
CSE, SUNY at Buffalo, USA2
Biometrics Res. Lab., Iran Telecommun. Res. Center, Tehran, Iran2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
University of Texas at El Paso, 500 W University Ave - El Paso TX 799682
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Jiangsu Key Laboratory of Big Data Analysis Technology, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China2
Department of Computer Engineering, Mahanakorn University of Technology, 140 Cheum-Sampan Rd., Nong Chok, Bangkok THAILAND 105302
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Villeurbanne, France2
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300812
Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India2
Laboratoire LITIS EA 4108, Normandie Université, Université de Rouen, France2
National University of Defense Technology, Changsha, Hunan2
Department of Computer Engineering, Istanbul Technical University, Turkey2
Informatics Institute, Istanbul Technical University, Turkey2
Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand2
College of Science and Technology, Nanchang University, Nanchang, China2
Yandex, Moscow2
Tsinghua University, Beijing, P. R. China2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
DFKI GmbH, Germany2
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China2
Tencent Inc2
INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France2
Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA2
Department of Computer Science and Technology, East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China2
University of Arkansas at Little Rock, USA2
CSE, Department, Regional Centre of Anna University, Tirunelveli, TamilNadu, India2
Culture Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne, U.K.2
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 1001902
Computer Science and Technology Department, Tsinghua University, China2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia2
Department of Mechanical and Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Adobe Research, San Jose, USA2
University of Sfax, LETI laboratory ENIS, BP W, Sfax, 3038, Tunisia2
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy2
Politecnico di Milano, Milan, Italy2
FORTH, Heraklion, Greece2
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032, China2
School of Computing Science, Simon Fraser University, Burnaby, BC, Canada2
Telecom Lille 1, LIFL, Lille, France2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
Institute of Computing Technology, CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Beijing, China2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics , Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer Science and Engineering, University of Aizu, Tsuruga, Ikkimachi, Aizuwakamatsu, Japan2
TCS Innovation Labs, TATA Consultancy Services, Hyderabad, India2
SoICT, HUST and School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam2
Department of Electronic and Electrical Engineering, University of Bath, Bath, UK2
Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China2
Tongren Electric Power Supply Bureau of Guizhou Power Grid Co., Ltd., Tongren, China2
Department of Computer Science and Engineering, University of Chittagong, Bangladesh2
Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne2
Computer Science and Engineering Dept., University of North Texas, Denton, TX, USA2
Depart. Electronics, Telecommunications & Information Technology, Polytechnic University of Bucharest, Romania2
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA2
Computer Science and Engineering Michigan State University, East Lansing, USA2
Ritsumeikan University, Japan2
University of Science and Technology (UST), Deajeon, South Korea2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, P.R. China2
Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China2
Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Jiaotong University, 100044, China2
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 1001902
School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa2
Honda Research Institute, 375 Ravendale Dr, Suite B, Mountain View, CA, 94043, USA2
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA2
Electrical, Computer and IT, Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran2
IBM, USA2
ARL, USA2
Karlsruhe Institute of Technology, Institute for Anthropomatics, Karlsruhe, Germany2
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong2
University of Blida 1, Department of Computer Science, Algeria2
Signal Theory and Communications Department, University of Vigo, Vigo, Spain2
University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi-110078, India2
The Ohio State University, Columbus2
Kochi University of Technology, Kochi, 782-8502, Japan2
Hefei University of Technology, School of Computer and Information, Hefei, Anhui, 230601, China2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey2
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany2
Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland2
Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea2
eBay Inc., San Francisco, CA, USA2
eBay Inc., San Jose, CA, USA2
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA2
Multimedia Communications Dept., EURECOM, Sophia Antipolis, France2
Computer Science Department, University of Northern British Columbia, Prince George, Canada2
Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation2
University Polytechnica of Bucharest, Bucharest, Romania2
Ghent University, Zwijnaarde, Belgium2
Control Systems Laboratory, School of Mechanical Engineering, National Technical University of Athens, Greece2
ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France2
College of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China2
CASIA, National Laboratory of Pattern Recognition2
CASIA, Research Center for Brain-inspired Intelligence2
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 10091, China2
Department of Information Engineering, Meijo University, Nagoya 480-1192, Japan2
Information Technology University (ITU), Punjab, Lahore, Pakistan2
School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China2
Department of Computing, The University of the West Indies, Mona Campus, Jamaica2
University of California at San Diego, La Jolla2
Wrocław University of Science and Technology, Wrocław, Poland2
Institute of Remote Sensing and GIS, Peking University, Beijing, China2
Pattern Recognition Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD Delft, the Netherlands2
Wayne State University, Detroit, USA2
Department of Electrical Engineering, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong2
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh2
Department of Electronics, Goa University, India2
LIMSI-CNRS, Orsay, France2
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA2
Computer Vision and Robotics Group , University of Girona, Girona, Spain2
Department of Electronic and Information Engineering, Center for Signal Processing, The Hong Kong Polytechnic University, Hong Kong2
Firmenich SA, Geneva2
Max Planck Institute for Intelligent Systems2
School of Information Technology, Deakin University, Burwood, VIC, 3125, Australia2
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK2
Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China2
Research and Engineering Education Facility, University of Florida, Shalimar, USA2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan2
First Department of Neurology, Masaryk University and St. Anne's University Hospital, Pekarska 53, Brno, 65691, Czech Republic2
Visual Image Processing Group, National Institute of Standards and Technology, Gaithersburg, MD 208992
Syracuse University2
Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
School of Electronic Engineering and Computer Science, Institute of Digital Media, Peking University, Beijing, China2
ONERA - The French Aerospace Lab, F-91761 Palaiseau, France2
Learning & Game Theory Laboratory, Engineering Division, New York University, Abu Dhabi2
Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R12
Université Lyon, Villeurbanne, France2
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China2
Department of Computer Science, Southern Illinois University Carbondale, IL, USA2
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA2
Samsung Electronics, SAIT Suwon-si, Korea2
Department of Electrical Engineering, University of Hawaii, Manoa, Honolulu, HI, 968222
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China2
Toyota Research Institute, Cambridge, MA, USA2
School of Electrical Engineering and Computer Science, Queensland University of Technology, Gardens Point, Queensland, Australia2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China2
University of Tampere, Finland2
School of Engineering, University of KwaZulu-Natal, Durban, South Africa2
Applied Physics Laboratory, University of Washington, Seattle, WA, USA2
Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, Romania2
School of Information Science and Technology, Northwest University, Xi’an, China2
The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 028812
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, Guangdong, Peoples Republic of China2
Nanyang Technological University, Nanyang Ave, Singapore2
Korea University, Seoul Korea2
Department of Computer ScienceInstituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
University of Arkansas2
Department of Computer Science, University of Hong Kong, Hong Kong2
Institute for Computer Vision and Graphics, Graz University of Technology, Austria2
University of Leeds Leeds, UK2
Department of Automation, Shanghai Jiao Tong University, 200240, China2
Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno2
College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China2
School of Computer Sciences, Universiti Sains Malaysia, Malaysia2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia2
Department of Automation, Shanghai Jiaotong University, Shanghai 2002402
Electronics and Communication Sciences Unit, Indian Statistical Institute, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
School of Electrical Engineering and Computing, University of Newcastle, Newcastle, Australia2
Shanghai University of Engineering Science, Shanghai, China2
ISR - Instituto Superior Técnico, Lisboa, Portugal2
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia2
School of Information Science and Engineering, Shandong University Jinan, China, 2501002
University College London (UCL), Electronic and Electrical Engineering Department, London, U.K.2
Biometric Technologies Laboratory, Department of Electrical and Computing Engineering, University of Calgary, Alberta, Canada2
Baiyun District Bureau of Justice, Guangzhou, China2
Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France2
Hong Kong Baptist University, Kowloon Tong, Hong Kong2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France2
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, KKTC, via Mersin 10 Turkey2
CASIS at Clemson University, Clemson, SC 29634, USA2
School of Computer Science and Thechnology, Nanjing Tech University, Nanjing, 210000, China2
Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy2
Jaypee Institute of Information Technology2
Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada2
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China2
Intelligent Data Center (IDC) and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China2
Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany2
Imavis srl, Italy2
Samsung Advanced Institute of Technology (SAIT), Republic of Korea2
State Key Laboratory of satellite navigation system and equipment technology, Shijiazhuang, China2
Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation2
Simon Fraser University, Autonomy Lab, School of Computing Science2
Computer Science Division, EECS, University of California at Berkeley, USA2
Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia2
School of Computer Engineering, Shahrood University of Technology, Iran2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan, Taiwan2
School of Automotive and Traffic Engineering, Jiangsu University, China2
University of Malaga2
University of Cordoba2
Department of Computer Engineering, University of Engineering and Technology, Taxila, Pakistan2
City University of Hong Kong, Hong Kong, China2
Queensland University of Technology (QUT), Brisbane, QLD 4001 Australia2
Department of Computer Science, New Jersey Institute of Technology, Newark 07102, USA2
Department of Geography, The George Washington University, District of Columbia, United States of America2
Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
Department of electronics and communication, Visvesvaraya National Institute Of Technology, Nagpur, India2
School of Electrical and Computer Engineering, Cornell University, USA2
Xinjiang University, Urumqi, China2
University of California San Diego, La Jolla, USA2
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei Anhui, China2
GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France2
GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France2
SDM, Dharwad, India2
BVBCET, Hubli, India2
Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University, China2
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China2
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia2
School of Electronic Engineering, Xidian University, Xi'an 710071, China2
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia2
Department of Computer Science, Utah State University, Logan, UT, USA2
Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany2
Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Computer Science and Engineering, Arizona State University, Tempe, AZ2
School of Electronics and Information Engineering, Tianjin University, Tianjing, China2
Department of Electronics and communication Engineering, Sathyabama University, Chennai2
Department of Computer Engineering, Hacettepe University, Ankara, Turkey2
Department of Computer Engineering, Bilkent University, Ankara, Turkey2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA2
Research department, Herta Security, Barcelona, Spain2
School of EE, Xidian University, Xi'an 710071, China2
Faculty of Computer and Information Science, University of Ljubljana, EU, Slovenia2
South East European University, Tetovo, Macedonia2
University of Wisconsin, Madison, Wisconsin2
Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil2
Department of Computer Science, Shanghai Maritime University, Shanghai, China2
Iowa State University, Ames, IA, USA2
Electric Power Research Institute, State Grid Shanghai Electric Power Company Shanghai, 200093, China2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA2
Bosch Center for Artificial Intelligence, Renningen, Germany2
Dept. of Information Engineering, University of Firenze - Italy2
Computer Science, University of Arkansas at Little Rock, USA2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Department of Biomedical engineering, The Chinese University of Hong Kong, N.T., China2
Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 943042
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, USA2
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany2
Beijing Information Science and Technology University, School of Automation, Beijing, China2
Tatung University, Taipei City, Taiwan Roc2
Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany2
Institute for Communications and Navigation, Technical University Munich, Munich, Germany2
Department of Computer Science and Engineering, University of South Florida, Tampa, FL 33620.2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
School of Information Science, Computer, and Electrical Engineering, Halmstad University, PO Box 823, SE-301 18 Halmstad, Sweden2
Laboratoire Systèmes et Transports, Université de Technology de Belfort-Montbéliard, Belfort, 90010 France2
Arizona State University, Tempe, USA2
Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China2
University of California, Santa Cruz, Santa Cruz2
Halmstad University, IDE SE-30118 Halmstad, Sweden2
School of Engineering, Monash University, Bandar Sunway, Malaysia2
Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India2
Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan2
Dept. of ECE and Digital Technology Center, Univ. of Minnesota, USA2
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan2
Brigham Young University, Provo, USA2
Research Institute of Computer Science and Technology Ningbo University, Ningbo, China2
Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA2
Department of Electrical Engineering, National Taiwan University, Taiwan, ROC2
Department of Computer, Shandong University, Weihai, China2
CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia2
Electrical Engineering, Indian Institute of Technology, Kanpur, India2
Heriot-Watt University, Edinburgh, UK2
Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland2
Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China2
University of California Santa Cruz, Santa Cruz2
Signal Theory and Communications Department, University of Vigo, 36310, Spain2
Department of Electrical Engineering, University of California Riverside, Riverside, CA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Dept. of Computer Science and Technology, Tsinghua Univ., Beijing 100084, China2
Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran2
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China2
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China2
Dr. G. Y. P. College, MGM, Aurangabad2
Maharashtra University of Health Sciences, Nashik2
ATR National Laboratory, National University of Defense Technology, Changsha , China2
Griffith School of Engineering, Griffith University, Nathan Campus, Brisbane, Australia2
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Room 1411, Intelligent Building, 95 Zhongguancun Donglu, Haidian District, Beijing, China2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Laboratory of Visual Analysis of People (VAP), Aalborg University, Sofiendalsvej 11, 9200 Aalborg, Denmark2
PDL, National Laboratory for Parallel and Distributed Processing, NUDT, National University of Defense Technology, Changsha, China2
School of Engineering, Griffith University, Nathan Campus, 170 Kessels Road, Brisbane, QLD 4111, Australia2
State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China2
Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Faculty Of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran2
Cochin University of Technology, School of Engineering, Ernakulam, Kerala, India2
DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy2
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
The Chinese University of Hong Kong; Multimedia Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Hong Kong, Shenzhen, China2
Institute of Information & Communication Technology, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh2
Advanced Technology Development Center, Indian Institute of Technology, Kharagpur, 721302, India2
Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi, India2
Czech Technical University in Prague, Prague, Czech Rep2
Masaryk University, Brno, Czech Rep2
Charles University, Prague, Czech Rep2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
National Taipei University, New Taipei City, Taiwan2
Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy2
Hanyang University, Ansan, South Korea2
Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia2
School of Computer Science and Engineering, Nanyang Technological University, Singapore6397982
Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran2
Department of Computer Science, University of Northern British Columbia, Prince George, British Columbia, Canada2
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN2
Smart Systems Institute, National University of Singapore, Singapore2
State key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China, 4100732
Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey2
Electr. Eng., Math. & Comput. Sci., Delft Univ. of Technol., NSW, Netherlands2
French Aerospace Lab, ONERA - 91123 Palaiseau, France2
Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France2
Department of Computer Science & Engineering, University of Washington, Seattle, WA 98115, USA2
Räven AB, SE-411 14 Göteborg, Sweden2
School of Computing, University of Kent, Canterbury, UK2
National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China2
USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab2
CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL2
Computer Science and Technology Dept., Tsinghua University, Beijing, China2
Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, China2
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871 Japan2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology2
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
School of Electronics and Information Engineering, Sichuan University, Chengdu, 610064, China2
Indian Statistical Institute, Kolkata 700108, India2
Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan2
Department of Electrical and Computer Engineering, The University of Auckland, New Zealand2
ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei, China2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México2
University of Tunis, LaTICE-ENSIT Tunis, Tunisia2
Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil2
Snap Research, Venice, CA, United States2
University of Technology Sydney, Australia2
Department of CSE, Amity School of Engineering & Technology, Amity University, Noida, Uttar Pradesh, India2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China2
Department of Statistics, George Mason University2
Department of Communications, School of Electrical and Computer Engineering, University of Campinas, SP, Brazil, 13083-8522
Institute for Applied Research, Ingolstadt University of Applied Sciences, Germany, 850492
Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany2
School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, Suwon, Kyungki-do, 440-746, South Korea2
UBTECH Sydney Artificial Intelligence Centre, The University of Sydney, Darlington, NSW, Australia2
University of South Carolina, Columbia, SC, USA2
ENSTA ParisTech U2IS/Robotics & Vision, Université de Paris-Saclay2
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University2
Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, and College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China2
Universidade NOVA de Lisboa, Caparica, Portugal2
University of Kentucky2
Department of Electrical and Electronic Engineering, Imperial College London, London SW2 7AZ, UK2
Systems & Industrial Engineering, The University of Arizona, Tucson, AZ, USA2
School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand2
Department of Computer Science TU Darmstadt, Germany2
MPI Informatics Saarbrücken, Germany2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey2
Microsoft Research, Haidian, Beijing, P. R. China2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea2
Tokyo Institute of Technology, Department of Information Processing, 4259-G2-4, Nagatsuta-cho, Mdori-ku, Yokohama, Kanagawa, 226-8502, Japan2
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University , Xi'an, China2
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran2
Universidad Catolica de Chile2
Microsoft Advanced Technology Center, Beijing2
Media Computing Group, Microsoft Research Asia, Beijing2
Department of Automation, University of Science and Technology of China, Hefei, Anhui2
School of Computer and Controlling Engineering, University of Chinese Academy of Sciences, Beijing, China2
Computer Vision, Video and Image Processing (CvviP), Department of Electronics and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong2
Department of Electrical Engineering, National Taiwan University, Taiwan2
UC Irvine, CA 92697, United States2
Artificial Vision Laboratory, Dept. of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan 1062
Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany2
Electrical Engineering & Computer Science, University of California at Merced, USA2
Dept. Electronics, Telecomm. and Inform. Technol., “Politehnica” University of Bucharest, Romania2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Information Engineering, Wuyi University, Jiangmen Guangdong, China 5290202
School of Computer Science and Communication Engineering Jiangsu University, Zhenjiang, 212013 China2
Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea2
Florida International University, Miami, United States2
Capital University of Economics and Business, Beijing, P.R. China2
Faculty of Media Engineering and Technology, German University in Cairo, Egypt2
SiliconScapes LLC, USA2
Toshiba, Japan2
Facial Image Processing and Analysis Group, Institute for Anthropomatics, Karlsruhe Institute of Technology, D-76131 Karlsruhe, P.O. Box 6980 Germany2
School of Mathematics, Computer Science and Engineering, City University London, United Kingdom2
University of York, YO10 5GH, UK2
Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA2
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Fl, USA2
Central Scientific Instruments Organization (CSIR-CSIO), Sector 30C, Chandigarh, India2
College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China2
Chengdu University, School of Information Science and Engineering, Chengdu, 610106, China2
Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil2
Department of Computer Science, Peking University, Beijing, China2
Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming, China2
Control & Energy Management Laboratory, University of Sfax, Sfax Engineering School, Tunisia POB 30382
College of Applied Science and Technology, Hainan University, China2
Elektronik Mühendisligi Bölümü, Gebze Teknik Üniversitesi, Gebze, Türkiye2
RMIT University, Melbourne, Australia2
Anhui University, School of Computer Science and Technology, Hefei, China2
Anhui University, School of Mathematical Sciences, Hefei, China2
Denso IT Laboratory, Inc., Tokyo, Japan2
National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China2
School of Computational Science and Engineering, Georgia Institute of Technology2
Microsoft Research Asia, China2
Robotics Program, KAIST, Daejeon, 34141, Korea2
Computer Vision Lab, Delft University of Technology, Delft, The Netherlands2
Dept. Computer Science and Information Engineering, National University of Kaohsiung, Taiwan2
School of Science, Information Technology and Engineering, University of Ballarat, Australia2
State Key Lab of Management Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan2
Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines2
Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland2
Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China2
College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
School of Engineering, Huaqiao University, Quanzhou, 362021, China2
School of Information Science and Engineering, Huaqiao University, Xiamen 361021, China2
Visual Information Lab, University of Bristol, UK2
Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil2
École Centrale de Lille, CRIStAL, UMR CNRS 91892
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Univ. Bordeaux, LaBRI Talence, France2
Dept. of Computer Science and Engineering, Kalpataru Institute of Technology, Tiptur, India2
Dept. of Computer Science and Engineering, Government Engineering College, Hassan, India2
School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China2
Chongqing University of Science & Technology, 401331, China2
Computer Science and Engineering Department, Arizona State University, Tempe, AZ2
Department of Electronics Engineering, Konkuk University, Seoul, South Korea2
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, 410073, P.R.China2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea2
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada2
Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan2
Bilişim Enstitüsü, İTÜ, Turkey2
University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
College of Photonic and Electronic Engineering, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, China2
College of Photonic and Electronic Engineering, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China2
School of Computer Science and Technology, University of Science and Technology of China2
West Virginia University, Morgantown, West Virginia, 265062
Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN2
Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
CVPR Laboratory, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran2
Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
School of Electrical and Electronic Engineering, Tianjin University of Technology, China2
Australian Centre for Field Robotics, School of Information Technologies, University of Sydney, Australia2
School of Computing, Mathematics and Digital Technology2
Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 301E E Dean Keeton St, Austin, TX, 78712, USA2
Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 021392
LICÉF research center, TÉLUQ University, Montreal (QC), Canada2
Electronics and Computer Engineering, Hanyang University, Seoul, South Korea2
Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey2
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Communications Engineering Department, National Chiao Tung University, Hsinchu, Taiwan2
Microsoft Research Asia, Haidian District, China2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, China2
Key Laboratory of Complex Systems and Intelligent Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Institute for Information and System Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China2
Department of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China2
Computer Vision & Media Technology Lab, Aalborg University, Aalborg, Denmark2
MTA SZTAKI Institute for Computer Science and Control2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Hafez 424, Iran2
Graduate School of Information, Production and Systems, Waseda University, Japan2
Electrical Engineering Department, Sharif University of Technology, Tehran, Iran2
Guang Zhou Communication Information Construction Investment and Operation Co. Ltd, China2
Institute of Smart City Systems, Qingdao Academy of Intelligent Industries, China2
Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA2
Departemen Fisika, FMIPA, Universitas Indonesia, Kampus UI Depok, 16424 Indonesia2
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, China2
General Motors Company2
Department of Automation, Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China2
Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina2
School of Computer Science, The University of Adelaide, South Australia2
Department of ECE, Kalasalingam University, India2
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Adenauerring 4, Karlsruhe, Germany2
Department of Electrical and Computer Engineering and ASRI, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, Korea2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA2
Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium2
School of Computer Science and Technology, Soochow University, Suzhou 215006, P. R. China2
Istanbul Technical University, Faculty of Computer and Informatics Engineering, Istanbul, Turkey2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi, P. R. China2
Department of Mathematics and Computer Science, University of Cagliari, Italy2
CETUC, Pontifical Catholic University of Rio de Janeiro, Brazil2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia2
University of Montreal Montréal QC, Canada2
National Aviation University, Kyiv, Ukraine2
Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam2
Google Research, Mountain View, CA, USA2
Stanford University, Stanford, USA2
Kogakuin Univ., Tokyo, Japan2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, P.R. China2
Queen Mary University of London, London, England UK2
Graduate School of Science and Engineering, Teikyo University2
London Health Sciences Centre, London, ON, Canada2
Siemens Corporate Technology, Imaging and Visualization Munich, Germany2
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany2
Computer Science, Computational Biomedicine Lab, University of Houston2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany2
School of Information Science, Japan Advanced Institute of Science and Technology, Asahidai 1-1, Nomi-shi, Ishikawa, Japan, 923-12112
Honda Research Insitute, USA2
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain2
Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India2
Konkuk University, Seoul, Korea2
Department of General Surgery, Carolinas Medical Center, United States of America2
College Of Engineering Trivandrum, India2
DIIn, University of Salerno, Fisciano (SA) - Italy2
Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
Visionlab at Heriot-Watt University, UK2
IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France2
University of Amsterdam , Amsterdam, The Netherlands2
Czech Technical University , Prague 2, Czech Republic2
RWTH Aachen , Aachen, Germany2
University of Missouri, Columbia, MO2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Road, Houston, TX 770042
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Dept. for Video Exploitation Systems (VID), Fraunhoferstr. 1, 76131 Karlsruhe, Germany2
Norwegian Biometrics Lab, NTNU, Gj⊘vik, Norway2
EURECOM Biot Sophia, Antipolis, FRANCE2
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil2
Mobile Perception Systems research cluster of the SPS/VCA Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, MB, The Netherlands2
Center for Autonomous Systems , Royal Institute of Technology, Sweden2
Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France2
Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran2
George Mason University, Department of Computer Science, Fairfax, Virginia2
MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France2
Institute of Informatics, UFRGS, Porto Alegre, Brazil2
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan2
GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye2
Nanyang Technological University, Singapore 6397982
BeingThere Center, Institute for Media Innovation, Nanyang Technological University, Singapore 6375532
Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 376732
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA2
German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany2
National Central University, Taoyuan County, Taiwan2
Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
Artificial Intelligence and Information Analysis Lab, Department of Informatics, Aristotle University of Thessaloniki, Greece2
University of British Columbia Department of Electrical and Computer Engineering2
Chalmers University of Technology, Goteborg, Sweden2
Torr Vision Group, University of Oxford, Oxfordshire, United Kingdom2
Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
Department of Computer Science, College of Information Engineering, Northwest A&F University, Yangling, China2
CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia2
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, Oregon, U.S.A.2
Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A.2
Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China2
Beijing University of Aeronautics and Astronautics, Beijing, China2
Faculty of Systems Engineering, Wakayama University, 930, Sakaedani, Wakayama-shi, 640-8510, Japan2
Computer Vision Laboratory, University of Nottingham, UK2
Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil2
Computer Laboratory, University of Cambridge, Cambridge, UK2
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh2
Computer Science and Technology, IIEST, Shibpur2
Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland2
Eindhoven Univ. of Technol., Netherlands2
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland2
New York University, New York, USA2
Computer Science Department at Stanford University, CA, 94309 USA2
Department of Electrical and Computer Engineering, University of Washington, Bothell, WA 980112
School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China2
Core Technology Center, OMRON Corporation, Kyoto, Japan2
TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany2
Institute of Measurement, Control and Microtechnology, Ulm University Albert-Einstein-Allee 41, Ulm, 89081, Germany2
Poznan University of Technology, Department of Computing, Division of Signal Processing and Electronic Systems, Poznan Poland2
Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye2
Boston University, USA2
Duke University, USA2
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047 Japan2
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Center for Automation Research, University of Maryland2
Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh2
Institute of Information Engineering, CAS, Beijing, China2
Majority Report, France2
College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China2
Computer Vision Lab, University of Central Florida. Orlando, USA2
Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China2
Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland2
Xiamen University, Fujian, China2
Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea2
Department of Engineering, University of Cambridge, UK2
School of Engineering, University of California, Merced, CA2
Pattern Recognition and Intelligent System Lab., Beijing University of Posts and Telecommunications, China2
Dept. of CSE, Annamalai University2
Department of Electrical and Information Engineering, Hunan University, Changsha, 410082, Hunan2
Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France2
Elektronik Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Protein Research Technology Center, Tsinghua University, Beijing, China2
Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China2
College of Engineering, Trivandrum, India2
Dept. of Computer Science, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Greece2
Dept. of Medical Physics, Medical School, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Greece2
Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi2
Computer Science Department, University at Albany, State University of New York2
Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France2
Lero - The Irish Software Research Centre, University of Limerick, Ireland2
School of IoT Engineering, Jiangnan University, Wuxi, 214122, China2
Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA2
Human Language Technology and Pattern Recognition Group, RWTH Aachen University, Aachen, Germany2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, 710049, China2
Toyota Motor Corporation, Japan2
Graduate School of IPS, Waseda University, Fukucka, Japan2
Department of Radiology, Wake Forest University Health Sciences, Winston-Salem, NC, USA2
IBM Hursley Labs, UK2
Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom2
Cornell University, Ithaca, United States2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada2
SUNY Binghamton, Binghamton, NY, USA2
School of Information Science and Technology, Jiujiang University, Jiujiang, China2
Computer engineering department, Sharif University of Technology2
Electrical-Electronics Engineering Department, Kirikkale University, Turkey2
Institute of Computer Science VI, Autonomous Intelligent Systems, University of Bonn, Germany2
Department of Computer Engineering & Informatics, University of Patras, 26500 Patras, Greece2
Dept. of Electrical Engineering and Computer Science, Syracuse University2
Beijing Etrol Technologies Co., Ltd, Beijing, China2
Department of Computer Science and Engineering, New York University2
Department of Computer Science, The University of Hong Kong, HongKong2
Academy of Broadcasting Science, Information Technology Institute, Beijing, China2
Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China2
Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA2
University of Illinois at Urbana-Champaign, 201 N Goodwin, 61820, USA2
Dept. of Electronics & Communication, Siddaganga Institute of Technology, Tumkur, India2
Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany2
CPGEI, Universidade Tecnologica Federal do Paraná2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, 65211, USA2
U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States2
School of Computing, Teesside University, Middlesbrough, UK2
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle, UK, NE1 8ST2
Nokia Bell Labs, Budapest, Hungary2
Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil2
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, Shenzhen, 518055 China2
WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, China2
Toyota Technological Institute2
Institut de Recherche en Systèmes Électroniques Embarqués Normandie, Univ, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France2
Department of Computer Science & Engineering, India Jadavpur University, Kolkata, India2
Department of Computer Science and Engineering, University of Notre Dame, IN 46545, USA2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong2
Laboratory of Computer Vision & Media Technology, Aalborg University, Niles Jernes Vej 14, Aalborg East, Denmark2
Faculty of Informatics, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil2
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4 AB, Canada2
Dept of Computer Engineering, Firat University, Elazig, Turkey2
Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium2
Microsoft Research Asia &Microsoft Corporation, Beijing, China2
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China2
IBM Thomas J. Watson, Research Center, Yorktown Heights, New York 10598, USA2
Research Centre for Computers, Communication and Social Innovation La Trobe University, Victoria - 3086, Australia2
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran2
INRIA Sophia Antipolis Meditérannée, Valbonne, France2
TCL Research America, San Jose, CA 95134, USA2
Dept. of Eng. Sciences and Appl. Mathematics, Northwestern University, Evanston, IL 60208, USA2
Robotics Institute, Computer Vision Group, Carnegie Mellon University, Pittsburgh, PA2
LDCSEE, West Virginia University, Evansdale Drive, Morgantown, 26506-6070, U.S.A.2
Computer Vision and Remote Sensing, Technical University, Berlin, Germany2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong2
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou Industrial Park, Suzhou, China2
Helsinki Institute for Information Technology HIIT, Department of Computer Science, Aalto University, Finland2
Dept. of Electrical and Computer Engineering, University of California, Riverside, USA, 925212
School of Computer Science and Technology, Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, China2
Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye2
School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China2
Dept. of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye2
Department of Electronics & Communication Engineering Mar Baselios College of Engineering & Technology Kerala, India2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Guangxi Key Laboratory of MIMS and the College of Computer Science and Information Technology, Guangxi Normal University, Guilin, China2
TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand2
University of Ulm, Ulm, Germany2
Arab Academy for Science and Technology - AAST, Egypt2
Dept. of Electronics Engineering, Pondicherry University, Puducherry, India2
Video/Image Modeling and Synthesis (VIMS) Laboratory, Department of Computer Science, University of Delaware, Newark, DE2
School of Automation, Beijing University of Posts and Telecommunications, Beijing, China2
Superintendência de Tecnologia da Informação, University of São Paulo2
Escola Politécnica, University of São Paulo2
School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil, 13083-8522
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
Department of Mechanical Engineering, Istanbul Technical University, İnönü Caddesi, Beyoğlu / İstanbul2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Computer Science Department, Boston University, Boston, USA2
Google, Seattle, USA2
CAS, Key Lab of intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China2
Department of Information Systems and Cyber Security and the Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA2
Electronics & Telecommunications Research Institute (ETRI), Daejeon, Korea2
Elektrik ve Elektronik Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye2
Massachusetts General Hospital, Boston, MA, USA2
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA2
Institute of Mathematics, JiLin University, Changchun, China2
IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan2
Department of Statistics, Florida State University, Tallahasse, FL, USA2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
Computer Science and Engineering, Washington University in St. Louis2
Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada2
Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan2
International Computer Science Institute (ICSI), Berkeley, CA, USA2
LEAR team, Inria Grenoble Rhone-Alpes, France2
Software School, Xiamen University, China2
University of South Florida2
Concordia University, Montreal, Canada2
University of Wisconsin-Madison, Madison, WI, USA2
Dept. of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hongshan, Wuhuan, Hubei 430074, China2
University of Science and Technology of China, Hefei, People’s Republic of China2
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan 97401, R.O.C.2
Fujitsu R&D Center Co.,LTD, Beijing, China2
Jiujiang University, Jiujiang, China2
Inria, Villers-les-Nancy, France2
Korea Advanced Institute of Science and Technology, Department of Electrical Engineering, 373-1 Guseong-dong, Yuseong-gu, Daejeon, 305-701, Korea2
IBM Research - Zürich, 8803 Rüschlikon, Switzerland2
University of Chinese Academy of Sciences, Beijing, 100049, China2
Dept. of Information & Telecommunications Engineering, Ming Chuan University, 5 De-Ming Rd., Gui-Shan Township Taoyuan County 333, Taiwan2
UC Berkeley EECS, USA2
Department of d’Informàtica, Universitat de València, Valencia, Spain2
Institution for Infocomm Research, Connexis, Singapore2
Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China2
EPFL, Lausanne (Switzerland)2
ETHZ, Zurich (Switzerland)2
Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India2
Department of Computer Science, UNC Chapel Hill, NC, 275992
School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia2
Beihang University, School of Electronic Engineering, Beijing, China2
Pontifical Catholic University of Rio Grande do Sul2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of Shanghai for Science and Technology, 200093, China2
School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil2
School of Computer Science and Software Engineering, MoE Engineering Center for Software/Hardware Co-Design Technology and Application, East China Normal University, Shanghai 200062, China2
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India2
Electrical Engineering Sharif University of Technology Tehran, Iran2
İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan2
Department of Computer Science, University of Notre Dame, Notre Dame, IN, USA2
Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile2
University of California, Riverside, 92521, United States of America2
Sichuan Police College, Luzhou, China2
Automotive Technology, Technical University of Munich, Garching b. München, Germany2
BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye2
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK2
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Visual Computing Institute, RWTH Aachen University, Germany2
Social Robotics Laboratory, University of Freiburg, Germany2
Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran2
Department of Signal Processing, ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden2
College of Information Science and Engineering, Dalian Maritime University, Dalian 116026, China2
London Healthcare Sciences Centre, London, ON, Canada2
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA2
Nanjing University of Science and Technology, Xiaolingwei, Xuanwu, Nanjing, China2
University of Victoria, Victoria, BC, Canada2
MPI Informatics, Saabrucken2
Caltech, Pasadena2
ENTC dept., Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India2
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA2
JKU, Linz, Austria2
Artificial Vision Laboratory National Taiwan University of Science and Technology2
The Blavatnik School of Computer Science, Tel-Aviv University2
Computer Engineering Department, İnönü University, Malatya, Turkey2
Hacettepe University, Ankara, Turkey2
Cooperative Medianet Innovation Center, Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, Shanghai, China2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Computer and Software Engineering Department, Toros University, Mersin, Turkey2
Department of Electronic Engineering, City University of Hong Kong, Hong Kong2
School of Mathematical Sciences, Anhui University, Hefei, China2
Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey2
School of Computer Science, Carnegie Mellon University, USA2
Department of Computer and Information Science, Gannon University, Erie, PA 16541, USA2
University of Pittsburgh, Pittsburgh2
FORTH, Greece, Heraklion, Greece2
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany2
Oxford-Man Institute of Quantitative Finance, University of Oxford, UK2
College of Electronic and Information Engineering, South China University of Technology, Guangzhou, China2
Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland2
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, U.K2
Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokrit ...2
University of Sousse, Tunisia2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Technical University Munich, Garching, Germany2
Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia2
Department of Informatics, Federal University of Paraná, Curitiba, Brazil2
Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil2
SiMiT Lab, Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, Japan2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Dept. of CSEE, University of Maryland, Baltimore County, Baltimore, MD 212502
Department of Computer Science and Engineering, Toyohashi University of Technology2
Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
CSE Department, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey2
Polytechnic School, University of Pernambuco, Recife, Brazil2
School of IoT Engineering, Jiangnan University, Wuxi 214122, China2
INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France2
Microsoft Research, Beijing , China2
Department of Communications and Computer Engineering, University of Malta, Msida, MSD, Malta2
BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA2
Institute of Geodesy and Geoinformation, University of Bonn, Germany2
School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China2
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China2
University of KwaZulu-Natal, Durban, South Africa2
Department of Computer Science & Information Engineering, University of Trento, Italy2
National Technical University of Athens, Athens, Greece2
MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia2
School of Industrial Engineering, Purdue University, West Lafayette, IN, USA2
Academy of Broadcasting Science, Beijing, P.R. China, 1008662
University of Twente, Enschede2
Department of Electrical and Computer EngineeringNational University of Singapore2
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC2
Graduate School of Electrical Engineering, University of Ulsan, Korea, 446102
Department of Computer Science and Information Engineering National Taiwan Normal University2
Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan2
Dept. of Comp. Sci, National Chiao Tung University, Hsinchu, Taiwan2
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-18162
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Università degli Studi di Milano, Milan, Italy2
MERC, Department of Computer Science, City University of Hong Kong, China2
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China2
Institute of Comp. & Comm. Engineering, EE Department, National Cheng Kung University, Tainan, Taiwan2
Department of Computer Science, University of Maryland, College Park, MD2
Department of Computing and Software, McMaster University, Hamilton, Canada2
Eskişehir Osmangazi University2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA2
Indian Institute of Technology, Madras, Chennai-36, India2
School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China2
School of Information Engineering, Chang’an University, Xi’an, China2
University of California: Berkeley, Berkeley, CA2
College of Information, Hunan University of Humanities, Science and Technology, Loudi, China2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
National Key Laboratory of Science & Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China2
University of Southern California-USA2
Eurecom-France2
Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran2
Samovar CNRS UMR 5157, Télécom SudParis, Université Paris-Saclay, Evry, France2
NCSR Demokritos, Greece2
College of Computer Science and Technology, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China2
Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie2
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R. China2
Beijing E-Hualu Info Technology Co., Ltd, Beijing, China2
University of California, Merced, CA, 5200, US2
Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran2
Department of Intelligent Robot System Research Team, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea2
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore2
Computer Science Department Technical University of Cluj-Napoca2
Odessa National Polytechnic University Odessa, Ukraine2
China Airborne Missile Academy, Luoyang, China2
Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
University of Calgary, Calgary, AB2
Department of Computer and Information Sciences, Northumbria University, Newcastle, UK2
Amsterdam Machine Learning Lab, University of Amsterdam, The Netherlands2
Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China2
Computer Science and Systems Engineering Department, University of Zaragoza, Spain2
DCC, Pontificia Universidad Católica de Chile, Santiago, Chile2
The University of Edinburgh, Edinburgh, U.K.2
Electrical Engineering Department, University of Chile, Santiago, Chile2
Université Paris-Saclay, Paris2
SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia2
Department of Electrical and Computer Engineering, Khalifa University, Sharjah, UAE2
Yunnan University, Kunming, Yunnan, China2
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China2
National Institute of Standards and Technology (NIST), Gaithersburg, MD2
School of Computing, KAIST2
Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology2
HSA Systems, Aalborg Denmark2
NUDT, State Key Laboratory of High Performance Computing, Changsha, 410073, China2
Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany2
Department of Frontier Informatics, School of Frontier Sciences, The University of Tokyo, 701 Kiban Bldg. 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan2
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan2
Institute of Management and Information Technologies, Chiba University, Chiba, Japan2
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China2
Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 1001902
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China2
Centre de Visió per Computador Universitat Autònoma de Barcelona Bellaterra, Barcelona 08193, Spain2
Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong2
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania2
I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain2
Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China2
Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)2
College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China2
College of Electronics and Information Engineering, University of Sichuan, Chengdu, china2
University of Ontario Institute of Technology, Oshawa, ON, Canada2
Max Planck Institute for Intelligent Systems, Tübingen, Germany2
College of Information Science and Technology, Beijing University of Chemical Technology, China2
Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia2
Department of Electrical Engineering and Information Technology, Technische Universität München, Arcisstr. 21, 80333 Munich, Germany2
School of Aeronautics & Astronautics, Shanghai Jiao Tong University, 200240, China2
Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia2
Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing 100084, China, and the Tsinghua National Laboratory for Information Science and Technology, Beijing, China2
Computer Vision Center, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain2
Computer Vision Center, Universitat Autònoma de Barcelona , Cerdanyola del Vallès, Spain2
Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India2
Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania2
Computer Science Department, Technical University of Cluj Napoca2
Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan2
Michigan State University, East Lansing, USA2
Electrical and Computer Engineering Department, University of Windsor, Ontario, Canada N9B 3P42
Computer Vision and Robotics Research Laboratory, University of California San Diego, USA2
Panasonic Silicon Valley Laboratory, USA2
Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain2
Shinshu Univ., Faculty of Eng.2
Univ. of Kitakyushu, Faculty of Environmental Eng.2
EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China2
Department of Computer Engineering, Yazd University, Iran2
Quaid-i-Azam University, Islamabad, Pakistan2
Bilgisayar Mühendisliği Bölümü, Karlsruhe Teknoloji Enstitüsü, Almanya, Turkey2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey2
Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan2
Dept. of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus SW7 2AZ, UK2
Electrical Engineering Department, Semnan University, Semnan, Iran2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Laboratory of Electronics, Information and Image, CNRS, University of Bourgogne Franche-Comte, Belfort, France2
Honda Research Institute Europe GmbH, Offenbach am Main, Germany2
Department of Information Science and Engineering, Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China2
Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 105202
University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam2
Department of Electrical and Computer, Engineering, University of Denver, Denver, CO 802082
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan; Deep Learning Laboratory, National Center of Artificial Intelligence (NCAI), Islamabad, Pakistan2
Department of Computer Sciences, University of Texas at San Antonio, San Antonio, TX, USA2
Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea2
Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea2
University of St Andrews, St Andrews, KY16 9SX, UK2
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, MALAYSIA2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
ITM University, Gwalior, India2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
Delphi Deutschland GmbH2
Bergischen Universitat Wuppertal2
Schools of Arts, Media, Engineering, and Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, USA2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China2
HRL Laboratories, LLC, Information Systems and Sciences Lab, Malibu, CA 90265 USA2
Lancaster Environment Centre, Lancaster University, Lancaster, U.K.2
University of Delaware, Newark, DE2
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
National Institute of Advanced Industrial Science and Technology, Umezono 1-1-1, Tsukuba, Japan2
Department of Electrical, Computer and IT Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran2
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey2
The University of Texas at Arlington, Arlington, TX, USA2
Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China2
B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India2
LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France2
Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, Hollanda2
Department of Computer Science, IIT Kanpur2
University of Kentucky Department of ECE Lexington, Kentucky2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Department of Industrial Engineering, University of Salerno, Fisciano, Italy2
Department of Mechanical Engineering, Politecnico di Milano, Italy2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey2
Computer Vision Institute, School of Computer Science and Software Engineering, and the Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen, China2
GREYC, CNRS UMR 6072, Université de Caen, France2
IIT Indore-452020 India2
Institute of Digital Media, Peking University, Beijing, 100871, China2
College of software, University of Science and Technology Liaoning, Anshan, 114051, China2
Cornputer Vision Research Lab, Robert Bosch GmbH, Hildesheim, Germany2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
School of Information & Engineering / Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China2
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 5151342
Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China2
Technion2
Depart. of Electronic Engineering, University of Science and Technology of China, China2
Key Laboratory of Machine Perception School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA2
Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil2
Department of Computer Engineering, Vishwakarma Institute of Information Technology, Kondhwa (Bk.), Pune 411048, India2
Department of Electronics, Polytechnic School, University of Alcalá, Madrid, Spain2
Department Computer Science, Loughborough University, Loughborough, LE11 3TU, UK2
University of Central Lancashire, Preston, United Kingdom2
Linkoping University, Sweden2
Foundation for Research and Technology - Hellas, FORTH, Crete, Greece2
Institute of Clinical Physiology, IFC-CNR, Pisa, Italy2
Department of Computer Science, Okayama University, Okayama, Japan2
School of Mechanical Engineering, Dalian University of Technology, Dalian, China2
KCIS, Robotics Research Center, International Institute of Information Technology, Hyderabad, India2
KCIS, Center of Visual Information Technology, International Institute of Information Technology, Hyderabad, India2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO 652112
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain2
Center for Quantum Computation and Intelligent Systems, University of Technology Sydney, Ultimo, NSW, Australia2
Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 482022
Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China2
Institute of Electrical Control Engineering, National Chiao Tung University, Taiwan, Republic of China2
Center for Digital Media Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, China2
Software Engineering Institute, East China Normal University, Shanghai, China2
IBM Research, China2
POSTECH, Department of Electrical Engineering, Pohang, Korea2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Chiba University, Japan2
Chair for Computer Aided Medical Procedures (CAMP), TU Munich, Boltzmannstr 3, Munich, 85748, Germany2
Department of Science and Technology, Keio University, Kanagawa, Japan2
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy2
Institute for Computer Graphics and Vision, Graz University of Technology - Austria2
Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China2
Visual Processing and Understanding Lab, Universidad Autónoma de Madrid2
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer, Science and Technology, Beijing University of Technology, Beijing, China2
University of Saskatchewan, Saskatoon, SK, Canada2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Northeastern University, Shenyang, Liaoning, China2
Hebei University, Hebei, China2
Computer Vision Center, Edifici O, Campus de la UAB, Spain2
Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland2
National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China2
Institute of Computer Science, University of Göttingen, Germany2
Department of Robotics Science and Technology, Chubu University, Kasugai, Aichi, Japan2
Computer Science dept. Technion, Haifa 32000, Israel2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, United States2
University of Pennsylvania, Philadelphia, 19104, United States2
Tsinghua–Chinese University of Hong Kong Joint Research Center for Media Sciences, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
University of Michigan, Ann Arbor, MI 48109, USA2
Department of Electrical and Computer Engineering at the Stevens Institute of Technology, Hoboken, NJ, USA2
Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island, Kingston, USA2
Dept. of Electron. & Inf. Eng., Honu Kong Polytech. Univ., Hong Kong, China2
Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany2
Dept. Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, 1-8 Yamadaoka Suita, 565-0871 Japan2
The Center for Advanced Medical Engineering and Informatics, Japan2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, San Diego, CA, USA2
Joanneum Research Steyrergasse, Graz, Austria2
Institute of Computing, University of Campinas, Campinas-SP, Brazil, 13083-8522
DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy2
DAEIMI, University of Cassino, Cassino (FR), Italy2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
Department of Psychology and the Center for Brain Science, Harvard University, Cambridge2
School of Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and the Center for Brain Science, Harvard University, Cambridge2
National Institute of Technology, Srinagar, India2
University of Hawaii at Hilo, HI, USA2
Yuncheng University, Shanxi Province, China2
University of Lincoln, Lincoln, UK2
Division of Graduate Studies of Tijuana Institute Technology, Mexico2
Intel Labs China, Intel Corporation, Beijing, 100086, China2
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci.& Tech., Tsinghua University, Beijing, 100084, China2
Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
MICC - University of Florence, Italy2
Department of Computer Science and Engineering, Dankook University, Yongin, South Korea2
Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil2
Department of Electronics, University of Batna, Batna, Algeria2
Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia2
Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy2
Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States2
College of Communication Engineering, Chongqing University, China2
National Inter-University Consortium for Telecommunications - Florence, Italy2
Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany2
NUS, Singapore, Singapore2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia2
Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Department of Biology, University of North Dakota, Grand Forks, North Dakota 582022
Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 582022
Chung-Shan Inst. of Science and Tech., China2
Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland2
Department of Computer Science and Engineering, University of Minnesota2
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA2
Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia2
Intelligent Systems Division, National Institute of Standards and Technology, Gaithersburg, MD, USA2
Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 618012
Digital Media Research Center, Institute of Computing Technology, CAS, China2
UCL Interaction Centre, Faculty of Brain Sciences, University College London, London, United Kingdom2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Research School of Computer Science, The Australian National University, Canberra, ACT, Australia2
Department of Mechanics, Mathematics and Management, Politecnico di Bari, viale Japigia 182, Italy2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
Department of Computer Science, University of Jaffna, Sri Lanka2
Rochester Institute of Technology, Rochester, New York, 14623, USA2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Tsinghua University and DeePhi2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Scripps Institution of Oceanography}, University of California, San Diego2
Department of Computer Science and Engineering2
Computer Vision Center, Barcelona, Spain2
Centre of Image & Signal Processing, Fac. Comp. Sci. & Info. Tech., University of Malaya, Malaysia2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China2
Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea2
Star Technologies, USA2
University of the Witwatersrand2
Department of Computer Science at Rutgers University, NJ, USA2
College of Computer Science at Chongqing University, Chongqing, PRC2
Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan2
Queen's University, Belfast, UK2
Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany2
Civil Aviation University of China, Tianjin, China2
Technische Universität Wien, Austria2
IMIS, Athena R.C., Greece2
Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, South Korea2
University of Bristol, Bristol, United Kingdom2
Department of Computer Science, Edge Hill University2
Intelligent Systems Laboratory, SECOM, Tokyo, Japan2
Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand2
Department of Computer Engineering, MIT Pune, India2
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany2
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore 639798, Singapore2
Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain2
Department of Computer Science and UMIACS, University of Maryland, College Park, Maryland, USA2
School of Computer Science, Northwestern Polytechnical University, Xi'an2
Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA2
Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China2
Institute of Automatic Control Engineering (LSR), TU München, Germany2
Image Understanding and Knowledge-Based Systems, TU München, Germany2
National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China2
Faculty of Engineering and Information Technology, University of Technology Sydney, Australia2
State Grid Zhejiang Ninghai county power supply company2
College of Control Science and Engineering, University of Zhejiang2
School of Information Science and Engineering Ningbo Institute of Technology, Zhejiang University Ningbo, Zhejiang Province, 315100, China2
Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
School of Computing, University of Dundee, Dundee, U.K.2
Zhejiang Wanli Univ., Ningbo2
M.Tech, DC, KITS, KU, INDIA2
CS Dept., UFMG & Kunumi, Brazil2
CVPR Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, INDIA2
School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia2
Mobile Robotics Group, Dept. Engineering Science, University of Oxford, UK2
Shenzhen University, Shenzhen China2
School of information Engineering, Zhengzhou University, China2
Faculty of Science and Technology, University of Souk Ahras, Algeria2
Department of Computer Science, University of Bejaia, Algeria2
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE2
Inst. of Digital Commun., Edinburgh Univ., UK2
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China2
Visteon Corporation, Pune, India2
Laval University, Quebec City, Canada2
University of California, Berkeley, EECS Department2
Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA2
SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France2
School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China2
Concordia University, Montreal, QC, Canada2
GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France2
Purdue Univ., West Lafayette, IN, USA2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD2
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA2
College of William and Mary, Williamsburg, VA2
School of Information Technology, Halmstad University, Halmstad, Sweden2
Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain2
DMI College of Engineering Palanchur, Chennai, Tamilnadu2
Visual Analysis of People (VAP) laboratory, Aalborg University, Denmark2
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Portugal2
Center for Mathematical Imaging and Vision, and Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong2
Department of Computer Science and Numerical Analysis, University of Córdoba, Spain2
School of Computer Science, University of Adelaide, Adelaide, SA, Australia2
University of Colorado at Colorado Springs2
Department of Information Science and Technology, Jinan University, Guangzhou, China2
Leibniz Universität Hannover, Hannover, Germany2
Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan2
Dept. of Comp. Sci. and Tech., Shenzhen Graduate School, Harbin Institute of Technology, China2
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications 400065, China2
University of Ulsan, Graduate School of Electrical Engineering, Korea2
University of Illinois at Urbana, Department of Electrical and Computer Engineering, Beckman Institute, 405 N Mathews Ave, IL, 61801, USA2
University of Science, Vietnam National University, HCMC, Vietnam2
Sichuan Province Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA2
Le2i UMR 6306, CNRS, University of Burgundy, France2
National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan2
Department of Computer and Operations Research, University of Montreal, Montreal, Canada2
Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan2
Faculty of Information Science and Electrical Engineering (ISEE), Kyushu University, Japan2
Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Inf. Syst. Dept., Buckingham Univ., UK2
Korea Electronics Technology Institute2
School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024, China2
TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey2
School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia2
Department of Computer Science, University of Liverpool, Liverpool, United Kingdom2
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.2
Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada2
Key Laboratory of Intelligent Information Processing and the ICT-ISVISION Joint Research and Development Laboratory for Face Recognition, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Department of Computing Science, University of Alberta, Edmonton, Alberta Canada2
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences , Beijing, China2
Beijing University of Civil Engineering and Architecture, Beijing, China2
The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information2
Department of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea2
Department of Information and Computer Science, Aalto University, Aalto, Finland2
Toyota Research Institute, Cambridge, MA 02142, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, ODTÜ, Ankara, Türkiye2
NICTA, Locked Bag 8001, Canberra, Australia2
Computer Science Department, Columbia University, 450 Mudd Hall, 500 West 120 Street, New York, NY 100272
Department of Computer Science, Wayne State University, Detroit, MI, USA2
JOANNEUM RESEARCH, Graz, Austria2
Laboratory of LESIA, University of Biskra, Algeria2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Hong Kong Polytechnic University, Kowloon, Hong Kong2
Institue of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, China2
Dept. of Mechanical Engineering, The University of British Columbia, Vancouver, V6T 1Z4, Canada2
Department of Computer Science, Duke University, Durham, NC, USA2
Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia2
University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J72
SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia2
Georgia Tech Research Institute, USA2
Department of Mechanical and Aerospace Engineering, Navigation and Electronic System Laboratory, Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South Korea2
New Mexico Consortium, Los Alamos, USA2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China2
Shanghai Engineering Research Center for Video Technology and System, Fudan University, Shanghai, China2
Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama 226-8503, Japan2
Keio University, Kanagawa, Japan2
Arizona State University, 4600 S. Dobson Road, Chandler, AZ 852482
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China2
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen 361005, China2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, China2
Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece2
Artificial Vision Laboratory, Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan2
Intel Labs, Hillsboro, OR, USA2
PAL Robotics, Barcelona, Catalunya, Spain2
Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA2
School of Engineering, RMIT University, Melbourne, VIC 3083, Australia2
University of California at Merced, Merced, USA2
Technische Universität München, Garching, Germany2
State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China2
Institute of Software Chinese Academy of Sciences (ISCAS)2
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong2
Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran2
Department of Electrical Engineering, Federal University of Technology, Curitiba, Paraná, Brazil2
Thiagarajar College of Engineering, Madurai, TN 625015 India2
IFRJDL, Institute of Computing Technology, CAS, P.O.Box 2704, Beijing, China, 1000802
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
School of Engineering and Computing, University of the West of Scotland, Paisley, U.K.2
Kansai University Japan2
The Center for Advanced Computer Studies (CACS) University of Louisiana at Lafayette, LA, USA2
Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China2
Design Engineering Research Group (GRID), Universidad EAFIT, Medellin, Colombia2
Computer Science Department, University of Southern California, Los Angeles, 90089, United States of America2
ECE Department, Carnegie Mellon University, USA. msavvid@ri.cmu.edu2
School of Computer Science and Software Engineering, East China Normal University, Shanghai, China2
Department of Electrical Engineering, University of Texas, Arlington, TX, USA2
Netaji Subhas Inst. of Technology, New Delhi, India2
Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France2
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China2
Academy of Broadcasting Science, Beijing, China, 1008662
Department of Electronic Engineering, The Chinese University of Hong Kong, N.T., Hong Kong SAR, China2
Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam2
Graduate School of Medicine, Osaka University2
Health Care Center, Osaka University2
LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany2
G. H. Raisoni Institute of Engineering And Technology for Women, Nagpur, Maharashtra, India2
Department of Electrical Engineering, National Cheng Kung University, Taiwan2
College of Computer Science and Technology Wuhan University of Science and Technology, Wuhan, China2
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey2
Language and Media Precessing Laboratory, University of Maryland, U.S.A.2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Indiana University of Pennsylvania, Indiana, PA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong2
M.S. Ramaiah Institute of Technology, Bangalore, India2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
National Chiao-Tung University, Hsinchiu, Taiwan2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.2
Department of Geography, Chiang Mai University, Chiang Mai, Thailand2
Department of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, U.K.2
Department of Biomedical Sciences, NeuroChip Laboratory, University of Padova, Padua, Italy2
Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh2
UC Berkley UC Berkley, Berkeley2
University of California, Berkeley, Berkeley2
University Politehnica of Bucharest, Romania2
Politecnico di Milano, Italy2
Google Inc2
Kakao corp., 242, Cheomdan-ro, Jeju-si, Jeju-do, Korea2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Chandigarh Engineering College, Landran, Mohali2
ECE, Chandigarh Engineering College, Landran, Mohali2
Northwestern University, Evanston, USA2
University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland, USA2
Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal2
NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Computer Science Department, University at Albany, SUNY, 12222, United States2
Systems Engineering Institute, MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, 710049, China2
CNRS, Irisa & Inria Rennes2
Hefei University of Technology, Hefei, China, China2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany2
National Institute of Informatics, Japan, Tokyo, Japan2
SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy2
Department of Computer, Control, and Management, Engineering, Sapienza University of Rome, Rome, Italy2
School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT, United Kingdom2
Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland2
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey2
Department of Computer Science and Applications, Bangalore University, India2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, PR China2
Dept. of Computer Science, Yonsei University, Seoul, South Korea, 120-7492
Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA2
Image Formation and Processing Group, Beckman Institute, University of Illinois at Urbana–Champaign, Urbana, IL, USA2
Shenzhen Institutes of Advanced Technology, The Chinese University of Hong Kong, Chinese Academy of Science, Shenzhen, 518055, China2
Graduate School of Integrated Design Engineering, Keio University, Yokohama, Japan2
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
University of Huddersfield, Huddersfield, West Yorkshire, UK2
School of Aeronautics and Astronautics, Sichuan University, Chengdu, China2
Hankou College, Wuhan, China2
Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway2
Electrical Engineering Department, Stanford University, USA2
Centre for Medical Image Computing and the Department of Computer Science, University College London, London, U.K.2
SATIE, Université Paris-Sud, Université Paris-Saclay, France2
Robert Bosch GmbH, Stuttgart, Germany2
Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 951122
Department of Computer Applications, Bharathiar University, Coimbatore, Tamil Nadu, India2
Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain2
La Salle, Universitat Ramon Llull. Barcelona 08022, Spain2
Center of Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, Oulu, Finland2
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Centre for Autism Research, Philadelphia, US2
University of Cambridge2
Computer Engineering Department, Sharif University of Technology, Tehran, Iran2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA2
Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia, USA2
School of Information Science and Technology, Huaqiao University, Xiamen, China2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
Transmural Biotech, Barcelona, Spain2
Human Language Technology and Pattern Recognition Group, RWTH Aachen University2
CSIRO-Data61, Canberra, Australia2
Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy2
Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China2
Fac. of Sci., Amsterdam Univ., Netherlands2
University of South Florida, Tampa, USA 336202
Department of Multimedia Communications, EURECOM, Sophia Antipolis, France2
Shenzhen Graduate School, Harbin Institute of Technology, China2
Dept. of ECSE, Rensselaer Polytechnic Institute, USA2
Visual Inf. Process. Group, Imperial Coll. London, UK2
INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France2
Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece2
Dept. of Computer Science, University of Calgary, Canada2
Department of Computer and Information Sciences, Temple University2
Department of Computing Sciences, Elon University2
Mathematics and Computer Science Dep, Amirkabir University of Technology, Tehran, Iran2
IBM Research-China, Beijing, China2
Sch. of Inf., Wuyi Univ., Guangdong, China2
University of Cagliari, Italy2
Xi An Jiaotong University, China2
Department of Digital Media, Catholic University of Korea, Bucheon, South Korea2
The Interdisciplinary Center Herzliya, Israel2
Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey2
School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China2
Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA2
Department of Computer and Radio Communications Engineering, Korea University, Seoul, 02841, Korea2
Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran2
Fraunhofer IOSB, Karlsruhe, 76131, Germany2
College of Intelligence and Computing, Tianjin University, Tianjin, China2
the Chinese University of Hong Kong, Hong Kong2
Sichuan University, China2
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Romania2
Vision and Sensing, Human-Centred Technology Research Centre, University of Canberra, Canberra, Australia2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
Sharif University of Technology, Iran2
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, Turkey2
Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA2
School of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA2
School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA2
Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China2
Beijing FaceAll Co. Beijing, China2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France2
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW-2795, Australia2
Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China2
Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA2
Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China2
Image Processing and Analysis Laboratory, Applied Electronics and Information Engineering Department, University “Politehnica” of Bucharest, Romania2
Vellore Institute of Technology, Chennai, Tamil Nadu2
National Institute of Technology, Rourkela2
Bilgisayar Mühendisliği Bölümü, Ankara Üniversitesi, Gölbaşı 50.yıl Yerleşkesi Bahçelievler Mh., 06830 (Ankara, Türkiye)2
School of electrical and information, South China University of Technology, Guangzhou, China, 5106602
ENET'COM-SFAX, Tunisia2
Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan2
Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand2
Computer Science Department, State University of New York at Binghamton, USA2
Institute of information science, Beijing jiaotong University, Beijing, China2
Dept. of Computer Science and Information Engineering, National Taipei University2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China2
Liverpool University, UK2
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, People’s Republic of China2
Graduate School of IPS, Waseda University, Kitakyushu, Japan2
Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand2
Multimedia Department, EURECOM, France2
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA2
Southeast University, School of Automation, Nanjing, China2
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan2
Washington University in St. Louis, MO, USA2
National Great Rivers Research and Education Center, Alton, IL, USA2
Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan2
Department of Electronics and Communication Engineering, Maharaja Surajmal Institute of Technology, Delhi, India2
Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
École de technologie supérieure, Université du Québec, Montreal, Canada2
Computer Science and Engineering Dept., University of Texas at Arlington, TX, USA2
Department of Electrical Engineering, University of Washington, 185 W Stevens way NE, Seattle, 98195, USA2
Department of Computer Science & Information Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Universidad Argentina de la Empresa (UADE), Lima 717, Buenos Aires, Argentina2
Tsinghua National Lab for Information Science and Technology, Beijing, China2
Department of Computer Science, Tsinghua University2
Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France2
Department of Computer Science and Engineering, University of Minnesota, USA2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi2
Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany2
School of Engineering, University of Warwick, Coventry, UK2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
RoboVision, Gent, Belgium2
Technology Campus De Nayer, EAVISE, KU Leuven, Belgium2
Department of Computer Science - University of Toronto, 10 King's College Road, Toronto, Canada2
Department of Computer Science, University of Cape Town, Cape Town, South Africa2
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan2
School of Electronic and Information Engineering, South China University of Technology, Guangdong, China2
Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
Department of Applied Mathematics, Yuncheng University, Yuncheng, China2
Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom2
MRT/KIT Karlsruhe, Germany2
ICMC/USP Sao Carlos, Brazil2
Harcourt Butler Technological Institute, Kanpur, INDIA2
Department of Computer Science & Engg., Rama University, Kanpur, INDIA2
Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany2
ETH Zurich2
Institute of Information Science, Beijing Jiaotong University, 10044, China2
Anadolu Üniversitesi Elek. Elektronik, Mühendisliği Bölümü Eskişehir, Türkiye2
Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye2
State Key Laboratory of High Performance Computing, NUDT, Changsha, 410073, China2
Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, 410073, China2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
IETR, CNRS UMR 6164, Supelec, Cesson-Sevigne, France2
Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University , Paris, France2
Chungnam National University, Daejeon, South Korea2
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA2
Department of Applied Electronics and Information Engineering, University “Politehnica”, Bucharest, Romania2
School of Engineering Newcastle University, ISC Research Group, UK2
Department of Electrical Engineering, Indian Institute of Science, Bangalore, 560012, India2
Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece2
Tel Aviv University, Tel Aviv-Yafo, Israel2
Center for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, NSW, Australia2
Grenoble University, France2
University of Technology, Sydney, NSW, Australia2
Computer & Vision Research Center / Department of ECE, The University of Texas at Austin, USA2
School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China2
Engineering Mathematics - Computer and Systems Engineering2
College of Information and Software Engineering, Northeast Normal University, Changchun, China2
CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France2
Islamic Azad University, Abhar branch, Iran2
Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran2
SUPELEC/IETR, Team SCEE, France2
Department of Engineering Science, University of Oxford, Oxford, U.K2
Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran2
Department of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hatyai, 90112, Thailand2
BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil2
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing2
Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
Center for Research on Intelligent System and Engineering, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
School of Electronics and Information, Technology Sun Yat-Sen University, Guangzhou, 510006, China2
Department of Electrical and Computer EngineeringCollege of Engineering, University of Miami, Coral Gables, FL, USA2
Dept of Psychology, Tufts University, Medford, MA, USA2
DIIn, University of Salerno, via Giovanni Paolo II, 132, Fisciano - Italy2
Department of Mechanical Engineering, Politecnico di Milano, via La Masa, 1, Italy2
DIEI, University of Cassino and of Southern Lazio, (FR) - Italy2
Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye2
Department of Computer Science, Boston University, USA2
Department of Computer Science, National University of Emerging and Computer Science, Karachi, Pakistan2
Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea2
Division of Information and Computer Engineering, Ajou University, Suwon, Republic of Korea2
Department of Computer Engineering, Kyung Hee University, Suwon, Republic of Korea2
Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK2
Software School, Hunan University, Changsha 410082, China2
Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan2
School of Engineering and Digital Arts, University of Kent, Canterbury, UK2
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R. China2
Faculty of Science and Technology, Bournemouth University, Bournemouth, U.K.2
Department of Computer Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA2
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh PA 15213, USA2
Università degli Studi di Verona, Verona, Italy2
Center of Information & Network, Beijing Normal University, Beijing, P. R. China2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China2
Universita degli Studi di Palermo, Dipartimento di Ingegegneria Informatica, Viale delle Scienze, 90128, ITALY2
School of Computer Science, China University of Geosciences, Wuhan, 430074, China2
DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China2
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China2
CEA, Gif-Sur-Yvette, France2
UMR CNRS - Univ. Bourgogne, Dijon, France2
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, China2
Toyota Research Institute, North America, Ann Arbor, MI, USA2
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, United Kingdom, GU2 7XH2
College of Automation, Nanjing University of Posts and Telecommunications, China2
Department of Computer Science Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand2
Center for Robotics and Intelligent Machines, School of Interactive Computing, Georgia Institute of Technology, USA2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France2
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Canada2
Research Division, Anyvision, Belfast, U.K.2
ISSS, Heriot-Watt University, Edinburgh, U.K.2
SYSU-CMU Shunde International Joint Research Institute, Sun Yat-Sen University, Guangzhou, China2
Department of National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing, China2
Sch. of Software, Tsinghua Univ., Beijing, China2
School of Information Science and Engineering, Yunnan University, Kumming, China2
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN2
University of Central Florida, Orlando, FL, USA2
Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China2
DISI University of Trento, Povo - Italy2
Center for Machine Vision Research (CMV), University of Oulu, Finland2
Institute of Software, Dalian Jiaotong University, China2
School of Computer Science, CECS, Australian National University, Australia2
Computer Sciences at The University of Texas at Austin, 78712, USA2
Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland2
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Slovenia2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
DGIST, Hyeonpung-Myeon, Dalseong-Gun Daegu, South KOREA2
ECE. Department, University of Windsor, Windsor, Ontario, Canada N9B 3P42
University of Technology Sydney, Ultimo, NSW, Australia2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China2
Department of Computer Science, Universitat Oberta de Catalunya, Barcelona, Spain2
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany and the Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany2
Dept. of Electronics and Multimedia Telecommunications, Technical University of Kosice, Kosice, Slovakia2
Digital Security Department, EURECOM, Biot, France2
University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-452020 India2
Department of Computer Science, University of Mauritius, Reduit, Mauritius2
University of Science and Technology of China, NO.443, Huangshan Road, Hefei, Anhui, China2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China2
Baidu2
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia2
Union Visual Innovation Technology Co., Ltd., Shenzhen, China2
Division of Psychology and Language Sciences, University College London, UK, WC1E 6BT2
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA2
School Computer and Information, Hefei University of Technology, Hefei, China2
Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105202
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
The University of Tokushima, Tokushima 770-8506, Japan2
Biometric and Imaging Processing Laboratory (BIPLab)2
University of Naples Federico II2
Warsaw University of Technology2
Research and Academic Computer Network (NASK)2
SensoMotoric Instruments (SMI)2
Maastricht University2
Università di Salerno Italy2
University of Beira Interior, IT: Instituto de Telecomunicações2
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France2
Toyota InfoTechnology Center, U.S.A., Inc.2
Carmine Senatore Exponent, Inc.2
Department of ComputingBiometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong2
The University of Minnesota, Minneapolis, MN, USA2
Yahoo Labs, New York, NY, USA2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli - 620015, Tamil Nadu, India2
Technische Universität Darmstadt, Darmstadt2
Informatics Institute, University of Amsterdam, Science Park, Amsterdam, Netherlands2
Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, China2
Faculty of Telecommunications, Technical University of Sofia, Bulgaria2
Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India2
Jiangnan Institute of Computing Technology, Wuxi, China2
Dept. of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH, USA 45469-02322
Facebook AI Research (FAIR), Menlo Park, USA2
IBM Research Lab, China2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, ON, N9B 3P42
Faculty of Education, East China Normal University, Shanghai, China2
Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China2
Graduate Institute of Communication Engineering, National Taiwan University, Taiwan2
Samsung Research & Development Institute, Bangalore, India2
South China University of Technology, Guang Zhou, China2
Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, Georgia2
Electrical and Computer Engineering Department, Georgia Institute of Technology, Atlanta, Georgia2
Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan2
Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan2
The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I.2
Miami University2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Graduate Faculty of Information Science and Electrical Engineering, Kyushu University, Motooka, Nishi-ku, Fukuoka 819-0395, Japan2
Pennsylvania State University, University Park, PA2
Faculty of Engineering, International Islamic University, Jalan Gombak, 53100 Kuala Lumpur, Malaysia2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, 50603, Malaysia2
Karlsruhe Institute of Technology2
TTI-Chicago, USA2
Dept of Electric, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia2
UMIACS, University of Maryland, College Park2
Stony Brook University, Stony Brook, NY2
Learning Affect and SemantIc Imaging (LASII) Group, Indian Institute of Technology Ropar, India2
Department of CS&E, IIT Madras, India2
Australian Centre for Visual Technologies, School of Computer Science, The University of Adelaide, Adelaide, SA, Australia2
Department of Electrical and Computer Engineering, Seoul National University, Korea2
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University2
Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
ETH Zurich, Zurich2
Ind. Technol., Purdue Univ., West Lafayette, IN, USA2
Department of Electronics, Faculty of Electrical Engineering and Information Technology, University of Oradea, Universitatii Str.1, Oradea, Romania2
Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey2
School of Computing and Engineering, University of Huddersfield, Queensgate, HD1 3DH, United Kingdom2
AI Institute of Qihoo 360, Beijing, China2
National University of Defence Technology, Changsha 410000, China2
University of Alberta, Edmonton, Alberta2
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China2
Department of Computer Science, Pace University, New York, NY2
State University of New York at Binghamton, 13902, USA2
Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan2
Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.2
Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 770042
Department of Geography, George Washington University, USA2
Malviya National Institute of Technology Jaipur, India-3020172
Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia2
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, 430073, China2
PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India2
Biodata Mining Group, Technical Faculty, Bielefeld University, Germany2
Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi2
Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden2
Institute of Automation, CAS, Beijing, China2
Academy of Broadcasting Science, Beijing2
Faculty of Engineering & IT University of Technology, Sydney, Australia2
Queensland University of Technology (QUT), Australia2
School of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan, China2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey2
Biometrics Engineering Research Center, School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea2
Institute of Electronics and Computer Science, Riga, Latvia2
GE Global Research, Bangalore, India2
Delft University of Technology, Mekelweg 4, Netherlands2
IRIP, School of Computer Science and Engineering, Beihang Universtiy, Beijing 100191, China2
King Abdullah University of Science and Technology, V.C.C. Research Center, Thuwal 23955-6900, Saudi Arabia2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, 69134, France2
University of Rochester, NY 14627, USA2
The Center for Biol. & Computational Learning, Massachusetts Inst. of Technol., MA, USA2
Department of Perception Engineering, University of Tuebingen, Germany2
Department of Electrical Engine-ering, The Pennsylvania State University, State College, PA, USA2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Department of Computer Science and Engineering, Michigan State University2
IDIAP Research Institute, Rue Marconi 19, 1920 Martigny, Switzerland2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA2
Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria2
LAAS-CNRS and Universite Paul Sabatier, Toulouse, France2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
Queensland University of Technology, Brisbane, Australia2
University of Houston, Houston, TX2
College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China2
Electrical Engineering Department, University of São Paulo, São Carlos, Brazil2
Video/Image Modeling and Synthesis (VIMS) Laboratory, University of Delaware, Newark, DE, 19711, USA2
Adobe Research, Bangalore, India2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria2
University of Benghazi, Faculty of Information Technology(IT), Libya2
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy2
NanoComputing Research Laboratory, Rochester Institute of Technology, Rochester, NY 146232
EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Department of ECE, Concordia University, Montreal, Quebec, Canada2
Xidian University, Xi'an, China2
Govt. College of Engineering, Amravati, India2
School of Electrical Sciences, IIT Bhubaneswar, Bhubaneswar, India2
Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany2
School of Software, Henan University, Kaifeng, China2
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany2
Informatics Institute, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands2
Computer Vision Laboratory, ETH Zurich2
JD Finance, Beijing, China2
Shenzhen Graduate School, Harbin Institute of Technology, Xili University Town, Shenzhen, China2
LAMIA, EA 4540, University of French West Indies & Guyana2
Institut Telecom - Telecom ParisTech CNRS/LTCI, Paris2
Harbin University of Technology2
University at Albany, State University of New York, NY, USA2
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany2
University of Illinois at Chicago, Chicago, Illinois2
Merses, Center for Applied Research, Pforzheim University, Germany2
Dept. of Mathematics and Computer Science, University of Perugia, Italy2
Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy2
General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel2
Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China2
The University of Texas at Austin, Austin, TX, USA2
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China2
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
MPSTM, NMIMS University, Mumbai2
Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex2
Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP2
Enjoyor Labs, Enjoyor Inc., Hangzhou, China2
Microsoft Research, Cambridge, MA, USA2
Wuhan University of Technology, Wuhan 430070, China2
Center for Automation Research and the Department of Computer Science, University of Maryland, College Park, MD2
Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China2
University of Bochum, Institute for Neural Computation2
Dept. of Comput. Sci. & Eng., Michigan State Univ., USA2
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China2
Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL2
Toyohashi University of Technology, Aichi, Japan2
School of Electronic Engineering, Xidian University, Shaanxi, P. R. China2
International Research Institute MICA, Hanoi University of Science and Technology2
Department of Computing, Imperial College London, United Kingdom2
UNESP - São Paulo State University, Bauru, São Paulo2
TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany2
Chair of Materials Handling and Warehousing2
Department of Electronics, Graduate School of Engineering, Tohoku University, Japan2
School of Computer Engineering and Science, Shanghai University2
University of Sydney, Sydney, Australia2
Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway2
U.S. Army Research Laboratory, Adelphi, MD, USA2
Institute of Information Science, Academia Sinica, Taiwan2
NEC Labs America2
Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Beijing, 100044, China2
Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA2
Université de Technologie de Compiègne (UTC)2
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China2
Department of Computer Science, Texas State University, San Marcos, TX, USA2
Department of Computer Science and Engineering and Centre for Vision Research, York University, Toronto, Canada2
Center of Modern Education Technology, Changchun Chinese Medicine University, 130051, China2
School of Information and Engineering, Wenzhou Medical University, Wenzhou, China2
Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India2
There Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Universitat Politecnica de Valencia, Valencia, Spain2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China2
Faculty of Automation, Guangdong University of Technology, Guangzhou, China2
Video/Image Modeling and Synthesis (VIMS) Lab, Department of Computer and Information Sciences, University of Delaware, Newark, DE. USA2
Indian Institute of Technology Ropar, India2
Department of Electrical and Computer Engineering, University of Windsor2
SUPELEC / IETR, Avenue de la Boulaie, 35576 Cesson Sevigne, France2
Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China2
Australian Centre for Field Robotics, The University of Sydney, 2006, Australia2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
Department of Computer Science, The University of Hong Kong, Hong Kong2
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Key Laboratory for Machine Perception (KLMP), Shenzhen Graduate School, Peking University, China2
University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France2
CNRS, IMB, UMR 5251, Talence, France2
UMR 5800, CNRS, LaBRI, Talence, France2
UMR 5800, University of Bordeaux, LaBRI, Talence, France2
UMR 5800, Bordeaux INP, LaBRI, Talence, France2
UMR 5800, LaBRI, Talence, France2
College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia2
Department of Advanced Systems Control Engineering, Saga University, Japan2
Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea2
Szczecin University of Technology, Szczecin, Poland2
Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA2
Department of Computer Science and Engineering, CEG, Anna University Chennai, India2
Dept. of Electrical Engineering, National Taiwan University, Taiwan2
Department of Computer Science and Engineering, University of Washington, Seattle, 98195-2350, U.S.A.2
Tongji University, Shanghai 201804, P.R. China2
Department of Computer Science, University Of Central Florida2
Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan2
Image Processing and Interpretation, University of Gent2
Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria2
University of Colorado Boulder, Boulder, USA2
Frankfurt Institute for Advanced Studies, Dept. of Physics, Goethe-University Frankfurt2
Idiap Research Institute, 1920, Martigny, Switzerland2
Department of Instrumentation and Control, College of Engineering Pune, India2
School of Computer Science and Technology, Xidian University, Xi’an, China2
Signal Processing Group, Basis of Electronics Department, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania2
University of the Witwatersrand, Johannesburg, South Africa2
Visual Intelligence Laboratory, Electronics & Telecommunication Engineering Department, Istanbul Technical University2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia2
Department of Electronic EngineeringInstitute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China2
Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 73232
Beckman Institute for Advanced Science and Technology, Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 61801 U.S.A.2
Istanbul Technical, University (ITU), Turkey2
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan2
Senior Member, IEEE, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr, syoh@postech.ac.kr2
Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr2
Drexel University2
George Mason University2
Electrical Engineering Department Jadavpur University Kolkata, India2
Dept. of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 300132
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran2
Department of Electronics & Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476672
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: moukyou@buaa.edu.cn2
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, Malaysia2
Dept. of CSIE, National Taiwan University of Science and Technology, Taiwan2
Computer Engineering Kyung Hee University Yongin-si, South Korea2
Gipsa-Lab, Saint-Martin d'Hères, France2
Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan2
Research Center for Information Technology Innovation, Taipei, Taiwan2
Department of Computer Science, University of Houston, Texas 77004, United States2
Pohang University of Science and Technology, Pohang, South Korea2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
Department of Electrical and Computer Engineering, Carnegie Mellon University2
University of Science and Technology Beijing, Beijing, China2
School of Information Science and Technology, Beijing Institute of Technology, China2
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia2
Department of Computer Science, Swansea University, United Kingdom, SA2 8PP2
School of mechanical and material engineering, North China University of Technology, Beijing, CO, 100144, China2
Interactive & Digital Media Institute, National University of Singapore, Singapore2
Nanjing Tech University, Nanjing, China2
Departments of Computer Science, Boston University, Boston, MA 022152
Department of Computer Applications, National Institute of Technology, Tiruchirapalli, Tamil Nadu, India2
School of Information Engineering, University of Science and Technology Beijing, 100083, CHINA2
University of Bath, Anthropics Technology Ltd.2
IIEST, Shibpur2
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049, China2
Sapientia Hungarian University of Transylvania, Hungary2
Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany2
King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand2
Yahoo! Labs, Haifa, Israel2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Key Laboratory of Machine Perception (Ministry of Education), Peking University, China2
Center for Research in Computer Vision, University of Central Florida, Orlando, USA2
Graduate School and the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China2
University of Pennsylvania, Philadelphia, PA2
School of Automation, Shanghai Jiao Tong University, Shanghai, China2
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei2
Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China2
Intel Corporation, Hillsboro, OR 971242
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shanxi, P. R. China. University of Chinese Academy of Sc ...2
Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China2
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, People’s Republic of China2
Department of Computer Science and Technology, Tongji University, Shanghai, People’s Republic of China2
Department of Civil Engineering, The University of British Columbia, Vancouver, BC, Canada2
Institute for Infocomm Research at A*STAR, Singapore2
Faculty of Mathematics, University of Belgrade, Studentski Trg 16, 11000 Belgrade, Serbia2
Institute of Computing, University of Campinas, SP, Brazil, 13083-8522
DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy2
Indian Statistical Insitute, Kolkata 7001082
School of Information, Linyi Normal University, 276005, China2
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK2
Interactive Media Systems Group, Vienna University of Technology, Vienna, Austria2
IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA2
Computer, Electronic and Security Research Group, University of Northumbria2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, China2
Department of Computer Science and Engineering & Center of Superintelligence, Seoul National University, Seoul, Korea2
B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China2
Group Research, Daimler AG, Ulm, Germany2
University of Illinois’ Advanced Digital Sciences Center, Singapore2
Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland 20740 United States2
DITEN, University of Genova, Italy2
Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam2
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States2
School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany2
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
IETR/UMR CNRS 6164, INSA, Rennes, France2
University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam2
Department of Computer Science, California State University, Fullerton, California 92831, USA2
Luohu Branch, Shenzhen Municipal Public Security Bureau, Guangdong, China2
School of Computing, Informatics and Media, University of Bradford, Bradford, UK2
Rutgers University, Newark, NJ, USA2
Bilgisayar Mühendisliği Bölümü, Namık Kemal Üniversitesi, Tekirdağ, Türkiye2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
University of Groningen, Groningen, The Netherlands2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan2
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada2
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada2
Microsoft Research&University of Washington, Seattle, WA, USA2
School of Engineering, Sun Yat-sen University, Guangzhou, China2
Dept. of Computer Science, Courant Institute, New York University2
HEUDIASYC Mixed Res. Unit, Compiegne Univ. of Technol., France2
Vrije Universiteit Amsterdam, Amsterdam, NL2
Department of Computing and Communication Technologies, Oxford Brookes University, UK OX33 1HX2
Key Lab of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China2
German Institute for Artificial Intelligence & University of Kaiserslautern, Kaiserslautern, Germany2
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia2
Department of Computer Science, University of Toronto, Toronto, Canada2
Università di Salerno v. Ponte don Melillo, 84084, Fisciano (IT)2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece2
Department of Informatics and Telecommunications, University of Athens, Athens, Greece2
Multimedia Lab, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada2
St. Pölten University of Applied Sciences2
Wearable Computing Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland.2
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA2
Delft University of Technology, The Netherlands2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye2
Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece2
Machine Perception Laboratory, Beihang University, Beijing, 100191 China2
Fraunhofer IPK, Pascalstrasse 8-9, 10587 Berlin, Germany2
Science and Technology on Parallel and Distributed Processing Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China2
State University of New York at Buffalo, Buffalo, NY, USA2
Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
Tsinghua University, Department of Electronic Engineering, Beijing, China2
University of Texas at Arlington, Arlington, USA2
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia2
College of Machatronics Engineering, National University of Defense, Chang Sha, China2
Mobile Robotics and Intelligence Lab. (MORIN), the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
HumanRobot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea seojh2
Dept. of Computer Science and Digital Technologies, Northumbria University, Newcastle, UK, NE1 8ST2
Faculty of Electrical and Electronics Engineering, Firat University, Elazig, Turkey2
ETH Zurich, Zurich, Switzerland. leibe@vision.ee.ethz.ch2
School of Design, Zhejiang Wanli University, Ningbo, China2
Indiana University, Indianapolis, IN, USA2
Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Graduate University of Chinese Academy of Sciences, Beijing, China2
University of Texas at San Antonio, San Antonio, TX2
College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan2
Department of Computer Engineering, College of E&ME, National University of Sciences and Technology, Islamabad, Pakistan2
Center for Optical Imagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
School of Engineering, Griffith Univeristy, Queensland, Australia2
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia2
Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
EAVISE, Technology Campus De Nayer, KU Leuven, Belgium2
School of Information and Engineering, Wuyi University, Jiangmen 529020, Guangdong, China2
School of Automation, South China University of Technology, Guangzhou 510000, Guangdong, China2
Department of Computer Science, University of Kerala, Thiruvananthapuram, India2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark2
Carnegie Mellon University (CMU)2
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1308 West Main Street, 61801, USA2
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, Department of Mathematics, Menoufia University, Menoufia, Egypt2
USP - University of São Paulo / ICMC, SSC - LRM (Mobile Robots Lab.), São Carlos, 13566-590, Brazil2
Department of Electronics, University of York, Heslington, York, YO10 5DD, UK2
Department of Industrial Design, Eindhoven University of Technology Eindhoven, The Netherlands2
Department of Communications & Computer Engineering, University of Malta, Msida, MSD20802
University of California, San Diego; ATR, Kyoto, Japan2
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea2
Faculty of the Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., 61801, USA2
LIRIS, UMR 5205 CNRS, INSA-Lyon, F-69621, France2
Orange Labs, R&D, Meylan, France2
ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium2
Computer Science Department, University of Mossouri, 65211, USA2
School of Computer Science and Software Engineering, East China Normal University, 3663 Zhongshan North Road, Shanghai, China2
Delhi Technological University, Delhi2
Electrical Engineering, Indian Institute of Technology, Gandhinagar, India 3823552
Department of Computer Science, University of Canterbury, Christchurch, New Zealand2
University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy2
State Grid Zhejiang Electric Power CO. LTD, China2
Gazi Üniversitesi, Turkey2
University of Maryland, College Park, MD, 207422
Intelligent Fusion Technology, Inc, Germantown, MD, USA2
Faculty of Science and Technology, University of Macau, China2
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, USA2
TU Berlin2
Beijing Institute of Science and Technology Information2
College of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China2
School of Information Science and Technology, Huizhou University, Huizhou, China2
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia2
Indian Institute of Technology, Madras, India2
Xerox Research Centre Europe, Meylan, France2
Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK2
Miovision Technologies Inc., Kitchener, Canada2
Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands2
Vienna University of Technology, Institute of Software Technology and Interactive System, Favoritenstrasse 9/1882, Vienna, 1040, Austria2
Centre de Développement des Technologies Avancées, Algeria2
Department of EECS, Northwestern University, Evanston, IL, USA2
Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China2
Omron Social Solutions Co., LTD., Kyoto, Japan2
Dept. of Electronics and Communication Engineering, Hanyang University, Sangnok-gu, Korea2
INRIA Grenoble2
SPAWAR Systems Center Pacific, San Diego, California, USA2
Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Institut Fresnel, Université de Marseille, Marseille, France2
Department of Psychology/Brain Research Institute, Chungnam National University, 220, Gung-dong, Yuseong-gu, Daejeon, 305-765, S. Korea2
Department of Computer Science, The University of Liverpool, Liverpool, UK2
Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany2
University of Canterbury, Christchurch, New Zealand2
Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt2
School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Korea2
University of Calgary, Calgary, Canada2
Indian Institute of Technology, Kanpur2
College of Computer Science and Electronic Engineering, Hunan University, Changsha Hunan, P. R. China2
School of Automation, Shenyang Aerospace University, Shenyang, China2
Beckman Institute, University of Illinois at Urbana, Champaign, USA2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
College of Electronic Science and Engineering, Nanjing University, Nanjing, China2
School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan2
Infotech Oulu, Oulu Univ., Finland2
Computer Vision Laboratory, University of Sassari, Italy2
School of Electrical Engineering and Computer Science, Seoul National University, Korea2
School of Electronic and Informatics Engineering, Jiangsu University, Zhenjiang, China2
A*STAR, Singapore2
Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary2
School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India2
Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China2
The University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
University of Science and Technology of China, Hefei, P.R. China2
Jordan University of Science and Technology, Irbid, Jordan2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Texas 77204, USA2
Toyota Research Institute, North America, Toyota Technical Center, Ann Arbor, MI 48105, USA2
142
The Australian National University RSCS, ANU, Canberra, Australia2
Aristotle University of Thessaloniki, Dept. of Informatics Box 451, Thessaloniki 541 24, Greece2
Department of Psychology, University of Northern British Columbia, Prince George, Canada2
Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China2
Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany2
Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany2
Dept. of Electrical Engineering, LUMS, Pakistan2
Thales, Moirans, France2
School of Information Science and Engineering, Yunnan University, Kunming 650091, China2
Lincoln Centre for Autonomous Systems, School of Computer Science, University of Lincoln, Lincoln, U.K.2
Software School, Xiamen University, Xiamen, PR, 361005, China2
IIIT Bangalore, India2
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)2
Pittsburgh Univ., PA, USA2
University of Texas at Austin, Department of Computer Science, Austin, TX, 78712, USA2
Mitsubishi Electric Research Laboratories2
Columbia University, New York, NY2
Department of Information Engineering, the Chinese University of Hong Kong, Shatin2
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Department of Computer Science, Loughborough University, U.K.2
Başkent University, Ankara, TURKEY2
Department of Computer Science, Hong Kong Baptist University, China2
College of Information Science and Technology, Nanjing Forestry University, Nanjing, China2
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China2
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
Karlsruhe Institute of Technology, Germany2
Fudan University, China2
Iowa State University, USA2
OSRAM GmbH, Germany2
Intel, Nizhny Novgorod, Russia2
National Research Council, Italy2
Computer Vision and Remote Sensing, Berlin University of Technology, Sekr. FR 3-1, Franklinstr. 28/29, 10587, Germany2
Media Computing Group, St. Pölten University of Applied Sciences, Austria2
TeV, Fondazione Bruno Kessler, Trento, Italy2
Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia2
Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer and Information Science, Southwest University, Chongqing, China2
Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary2
Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China2
Harbin Engineering University, Harbin, Heilongjiang, 150001, China2
Friedrich Schiller University Jena, Jena, Germany2
Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386322
NRU Higher School of Economics, Moscow, Russia2
Toyota Research Institute, North America, Ann Arbor, USA2
Computer and Information Sciences Department, Temple University, Philadelphia, PA USA2
College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525-8577, Japan2
ATR Center, Wright State University, Dayton, Ohio2
National University of San Agustin - UNSA, Arequipa - Peru2
Brno University of Technology, Brno-střed, Czech Republic2
Deutsche Welle, Bonn, Germany2
GSI Universidad Polit-écnica de Madrid, Madrid, Spain2
Department of Industrial Design., Eindhoven University of Technology. Eindhoven, Netherlands2
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa - Genoa, Italy2
Department of Communication Engineering, Myongji University. South Korea2
Science and Engineering Faculty, Queensland University of Technology, Australia2
Computer Science and Automation, IISc, Bengaluru2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Automobile Transport Command Department, Military Transportation University, Tianjin, China2
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China2
Dept. of Computer Science and Engineering, Jagannath University Jaipur, Jaipur, India2
University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China2
Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India2
Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland2
Organization of Advanced Science and Technology, Kobe University, Japan2
Department of Electrical and Computer Engineering, Video Processing and Communication Lab, University of Missouri, Columbia, MO, USA2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 1196132
EURECOM, Campus SophiaTech, Sophia Antipolis, France2
Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea2
Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia2
Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore2
Department of Computer Science, Guangdong University of Technology, Guangzhou, China2
Shenzhen University, Shenzhen2
Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen2
Department of Computer Engineering, Ferdowsi University of Mashhad, Iran2
Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran2
Graduate University, Chinese Academy of Sciences and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Orange Labs International Center Beijing, Beijing, 100876, China2
Chinese Academy of Sciences, Beijing, P.R.China2
Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China2
Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA2
Yarmouk University, Jordan2
School of Business Northwest Normal University, Lanzhou, China2
Electrical Engineering Department, National Chung Hsing University, Taichung, Taiwan2
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100190, P. R. China2
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, USA2
University of Maryland, College Park, College Park, USA2
University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco2
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China2
University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany2
German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany2
College of Computer and Information Engineering, Henan University, Kaifeng, China2
State Key Laboratory of Software Engineering, Computer School, Wuhan University, Wuhan, China2
Johnson Controls Inc., Milwaukee, Wisconsin2
Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France2
CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia2
Department of Computer Science, Chengdu University of Information Technology, Chengdu, China2
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA2
POSTECH Pohang, Republic of Korea2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea2
Computer & Vision Research Center\Department of ECE, The University of Texas at Austin2
School of Electrical and Information Engineering, University of Sydney, Camperdown, NSW, Australia2
Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal2
Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands2
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, 100875, China2
Beijing Key Laboratory of Information Service Engineering, Beijing Union University, 100101, China2
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore, Singapore2
Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK2
The Hong Kong Polytechnic University, Hong Kong2
Harbin Institute of Technology, China2
Tsinghua University, China2
School of Electrical and Computer Engineering, Platform Technologies Research Institute, RMIT University, VIC 3001, Australia2
School of Electrical and Information Engineering, Shanghai University of Electric Power, Shanghai, China 2000902
Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA2
Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Koc University, Istanbul, Turkey2
Southwest Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 146232
Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA2
School of Electrical and Computing Engineering, University of Campinas, Campinas 13083-852, Brazil2
Department of Computing, Imperial College London, London, 180 Queen’s Gate, UK2
Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, 110016, China2
Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, 1100162
Department of Computing, Curtin University, Bentley, Australia2
Merses Center for Applied Research, Pforzheim University, Germany2
Bilgisayar Mühendisligi Bölümü, İstanbul Teknik Üniversitesi2
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
School of Computer and Information, Hefei University of Technology, 230009, China2
Escola Superior de Saude de Alcoitão, Alcoitão, Portugal2
Universidade NOVA Lisboa, Caparica, Portugal2
Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China2
University of Nottingham2
Department of Computer Science, University of North Carolina at Chapel Hill2
Australian Center for Visual Technologies, and School of Computer Science, University of Adelaide, Canberra, Australia2
IT Department, SSN College of Engineering, Chennai, India2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA 92093 USA2
Imperial College London, Department of Electrical and Electronic Engineering, UK2
INRIA Grenoble Rhône-Alpes, France2
College of Engineering, Swansea University, UK2
School of Information and Control engineering, Liaoning Shihua University, China2
Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada2
Universidade Federal do Paraná, Curitiba, Brazil2
Carleton University, Ottawa, Ontario K1S 5B6, Canada2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China2
Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, Korea2
Chinese Academy of Sciences, Xi'an, China2
PRaDA, Deakin University, Australia2
Department of Computer Science, Purdue University, West Lafayette, USA2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Department of Computer Science & Engineering, University of Washington, Seattle, 98195, USA2
Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, USA2
Trinity College Dublin, Dublin, Ireland2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria2
Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China2
Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, Boston University, Boston, USA2
Faculty of Computer Science, University "Alexandru loan Cuza" of Iaşi, Iaşi, Romania2
Department of Electrical and Computer Engineering, University of Missouri, Engineering Building West, Columbia, MO 65201, USA2
Michigan State University, East Lansing, MI2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany2
The Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK2
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines2
Beijing Faceall Technology Co.,Ltd, Beijing, China2
Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan2
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China2
Dept. of Computer Science and Electrical Engineering, GSST - Kumamoto University Kumamoto, Japan2
Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland2
Adobe Systems Inc, Noida, india2
Staqu Technologies2
Dept. Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China2
Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA2
BestImage Lab, Tencent Co., Ltd., Shanghai, China2
Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Department of Computer Science, New Jersey Institute of Technology, Newark2
IIT Madras, Adyar, Chennai, Tamil Nadu, India2
Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 0052
College of Mathematics and Physics, Bohai University, Jinzhou, China2
School of information engineering, university of science and technology, Beijing, 100083, China2
State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China2
Key Lab of Intel. Inf. Proc., Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France2
Fujitsu Laboratories Ltd, Kawasaki, Japan2
More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam2
Faculty of Electrical, Electronic, Computer and Control, Engineering - Computer Science, Lodz University of Technology, Lodz, Poland2
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA2
Computer Science Department, University of Illinois at Urbana-Champaign2
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece2
Dept. of IT CEC, Landran, Mohali, India2
Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China2
Schepens Eye Research Institute, Harvard University, Cambridge, USA2
Image Processing Center, Beihang University, Beijing, People’s Republic of China2
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA2
Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran2
Research & Innovation Center, Ford Motor Company2
Computer Science and Engineering, Rajshahi University of Engineering and Technology2
State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China2
Laboratoire d’Informatique en Image et Systèmes d’Information (LIRIS), Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées de Lyon (INSA), Université de Lyon, Lyon, France2
Shenzhen Sunwin Intelligent Corporation, Shenzhen, China2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany2
DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)2
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA2
School of Computer and Communication, LanZhou University of Technology, LanZhou, China2
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China2
Faculty of Automation, Guangdong University of Technology, Guangzhou, People’s Republic of China2
Instituto de Tecnologia - UADE, Buenos Aires, Argentina2
Dept. of Computing, The Hong Kong Polytechnic University, China2
Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Photonic and Electronic Engineering, Fujian Normal University Fujian, Fuzhou 350007, China2
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan2
Duke University Durham, NC 27708, USA2
University of Oulu, Machine Vision Group, P.O. Box 4500, 90014, Finland2
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China2
Islamic University of Technology, Bangladesh2
Institute of Informatics, Federal University of Rio Grande do Sul, Brazil2
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil2
Eindhoven University of Technology, The Netherlands2
Hewlett-Packard Laboratories, Palo Alto, CA, USA2
College of Engineering and Computer Science, Australian National University, Canberra2
Worcester Polytechnic Institute, Worcester , MA, USA2
Worcester Polytechnic Institute, Worcester, MA, USA2
School of Electronics Engineering, Kyungpook National University, Taegu, Republic of Korea2
Graduate School of IPS, Waseda University, Kitakyushu, lapan2
ASELSAN Inc. Microelectronics, Guidance and Electro-Optics Division, Ankara, Turkey2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10.2
School of Computer Science, National University of Defense Technology2
School of Chemical Engineering, The University of Queensland, Australia2
Adobe Systems Incorporated, San Jose, CA 95110, USA2
National Chung Cheng University2
D.Y. Patil college of engg., Akurdi, Pune2
Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France2
Global Big Data Technologies Centre, University of Technology Sydney, Australia2
Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India2
School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan2
The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany2
Daimler AG, Research and Development, Ulm, 89081, Germany2
Vision Lab, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom2
School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia2
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China2
Department of Psychology, University of Miami, USA2
Department of Electrical and Computer Engineering, University of Denver, USA2
School of Computer Science and Technology, Nanjing Normal University, Nanjing, China2
College of Computing & Informatics, Drexel University, Philadelphia, PA 19104, USA2
Technical University of Munich, Munich, Germany2
Robert Bosch GmbH, Renningen, Germany2
Sichuan Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Idiap, Switzerland2
Kingston University, London, United Kingdom2
Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ 08854, USA2
EyeVerify, Inc., Kansas City, USA2
Sullivan Nicolaides Pathology, Australia2
School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China2
Department of Computer & Information Science, University of Macau, Macau2
Department of Electrical & Computer Engineering, The Ohio State University, OH2
Cyprus University of Technology2
Institute of Information and Communication, Beijing University of Posts and Telecommunications, Beijing, China2
Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA2
Key Laboratory of Shanghai Education Commission for Intelligence Interaction and Cognitive Engineering, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, PR ...2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Electrical and Computer Engineering, The University of Texas at Austin, 201 E 24th Street, 78705, USA2
College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China2
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran2
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing, China2
School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu2
Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil2
Institute for Information Technology and Communications, University of Magdeburg, Germany2
The University of Texas at Arlington, USA2
College of Computer Science, Zhejiang University of Technology, 310023 Hangzhou, China2
Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina2
Electrical and Computer Engineering Department, Semnan University2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, Guangdong, China2
College of Computer Science, Chongqing University, chongqing, China 4000302
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, USA2
Georgia Institute of Technology, Atlanta, GA, USA2
SUSTech-UTS Joint Centre of CIS, Southern University of Science and Technology, Shenzhen, China2
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. Of. Tech., Bangalore-560054, India2
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland2
School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India2
Islamic University of Technology, Gazipur-1704, Bangladesh2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Florida International University2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
South Valley University, Qena, Egypt2
Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Electrical Engineering, Tafresh University, Tafresh, Iran2
State Key Laboratory of High Performance Computing (HPCL) and College of Computer, National University of Defense Technology, Changsha, China2
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China2
Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA2
Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China2
Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA2
School of Comm. and Info. Engineering, Beijing University of Posts and Telecom., China2
Microsoft Research Ltd., Cambridge, UK2
Defence Research and Development Canada, Valcartier, Quebec2
UK Defence Science and Technology Laboratory, Porton, Salisbury, UK2
School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China2
Institute of VLSI Design, Zhejiang University2
Faculty of Engineering Technology, University Hasselt2
Ningbo University, Ningbo, China2
School of Control Science and Engineering, Dalian University of Technology, Dalian, China2
Univ. of Cambridge, Computer Laboratory2
School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China2
Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia2
Industrial Engineering Department Faculty of Engineering, Erciyes University, Kayseri, TURKEY2
Boston University, ECE Department, Boston MA, 02215, USA2
Université de Sherbrooke, MOIVRE, Sherbrooke, J1K 2R1, Canada2
Electronics and Computer Science, Southampton University, UK2
Department of Multimedia Communications, EURECOM, Les Templiers, Biot, France2
Federal University of Technology-Paraná, Curitiba, Brazil2
University of Oxford, USA2
Institute of Information Science, Academia Sinica, Taipei, Taiwan Roc2
Dalian Key Lab of Digital Technology for National Culture, Dalian MinZu University, Dalian, 116600, China2
Institute of System Science, Northeastern University, Shenyang, 110089, China2
Computing & Information Science and Computer Engineering, Rochester Institute of Technology, NY 14623, USA2
National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine2
School of Computer, Chengdu University of Information Technology, Chengdu, China2
Babeş-Bolyai University, Codespring LLC, Cluj-Napoca, Romania2
Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States2
image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States2
E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain2
Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, School of Computer and Information, Hefei University of Technology, Hefei, 230009, China, P.R.2
Metaio GmbH2
University of Caen, Caen, France2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA2
Denso Corporation, Kariya, Japan2
Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey2
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA2
Graduate School of IPS, Waseda University, Japan2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR2
Department of Radiology, University of Pennsylvania, Philadelphia, PA2
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand2
Dept. Electronic Engineering, Natuonal University of Ireland, Galway2
University of Massachusetts2
Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea2
Computer Laboratory, University of Cambridge, England2
Osaka University, Graduate School of Information Science and Technology, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
University of California at Irvine, Irvine2
Intelligent Systems and Biomedical Robotics Group, The School of Computing, State Key Laboratory of Mechanical System and Vibration, University of Portsmouth, Shanghai Jiao Tong University, Portsmouth, Shanghai, U.K.China2
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China2
Institution of Intelligent Systems, College of Computer Science, Intelligent Systems and Biomedical Robotics Group, The School of Computing, Zhejiang University of Technology, University of Portsmouth, Hangzhou, Portsmouth, ChinaU.K.2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel2
Cooperative Medianet Innovation Center, Shanghai, China2
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China2
School of Computer and Information Engineering, Hefei University of Technology, Hefei, China2
Department of Computer Science and Engineering, Michigan State University, East Lansing, USA2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Bilgisayar Mühendisliği Bölümü, Erzincan Üniversitesi, Türkiye2
Centre for Vision Res., York Univ., Toronto, Ont., Canada2
Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France2
The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada2
TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey2
School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia2
New Industry Creation Hatchery Center, Tohoku University, Sendai, Japan2
Sun Yat-sen University, China2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China2
Department of Computer Science, University of Calgary, AB, Canada2
Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 462402
School of Computer and Information Science, Hefei University of Technology, Hefei, China2
School of Computer Science and Technolog, Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, China2
Department of Computer Science, University of Verona, Verona - Italy2
DGIST2
Western Kentucky University, Department of Computer Science, Ogden College of Science & Engineering, Bowling Green, KY 42101, USA2
Warsaw University of Technology, Department of Automation and Aeronautical Systems, Warsaw, Poland2
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, China 3100182
Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 1396512
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong2
Department of Mechanical Engineering and HRI Research Center, KAIST, Daejeon 305-701, Korea2
School of Mathematical Sciences, Capital Normal University, No. 105 West Third Ring Road North, Haidian District, Beijing, P.R. China, 1000482
Sichuan Univ., Chengdu2
Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, China2
Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil2
National Engineering Research Center for E-Learning, Central China Normal University2
University of Cambridge Computer Laboratory, 15 JJ Thomson Avenue2
INRIA Sophia Antipolis - Mediterranean Research Center - PULSAR Project, 2004 route des Lucioles B.P 93, 06902 Sophia Antipolis Cedex, France2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of Electrical Engineering, National Chaio Tung University, Hsinchu, Taiwan2
Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA2
Department of CSE, GGITS, Jabalpur2
ABV-Indian Institute of Information Technology & Management, Gwalior-474015, India2
School of Computing, Queen's University, Kingston, Canada2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
University of Vigo, Spain2
University of South Florida, Tampa2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Computer Science, University of Texas at San Antonio2
National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China2
Department of Computer Science, Rhodes University, Grahamstown, South Africa2
Fondazione Bruno Kessler, University of Perugia, Trento, Perugia, Italy2
Zhejiang University, HangZhou, China2
Research Center of Applied Statistics and Big Data, Huaqiao University, Xiamen, 361021, China2
BeingThere Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Signals and Systems Group, Faculty of EEMCS, University of Twente, the Netherlands2
IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France2
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil2
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\2
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA2
School of Electrical Engineering, Zhengzhou University, Zhengzhou, China2
Technical University of Cluj Napoca2
Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York United States2
Computer Vision Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
Anhui University, HeFei, China2
AI Speech Ltd., Suzhou, China2
Research Center of Machine Learning and Data Analysis, School of Computer Science and Technology, Soochow University, Suzhou, China2
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, University of Lyon, Ecully, France2
Department of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China2
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
School of Computer Science and Technology2
School of Information Technologies, University of Sydney, NSW 2008, Australia2
Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil2
Samsung Research America, Mountain View, CA, USA2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
Rensselaer Polytechnic Institute, Troy, NY, USA2
Center for Optical Imagery Analysis and Learning, School of Computer Science, Northwestern Polytechnical University, Xi’an, China2
Intelligent Recognition and Image Processing Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China2
Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands2
Department of Computer and Information Science, University of Macau, Macau 999078, China2
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia2
Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia2
Dept. of Mech. and Automation Engineering, The Chinese University of Hong Kong2
Media Computing Group, Microsoft Research Asia, Beijing, China2
School of Electrical Engineering and Computer, Science National University of Sciences and Technology, Islamabad, Pakistan2
Department of Computing Science, University of Alberta, Edmonton, Canada2
Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi'an 710072, China2
College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 4300702
Portland State University, Portland, OR, USA2
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Graduate School of Engineering, Hiroshima University, Higashihiroshima, Hiroshima 739-8521, Japan2
Dept. of Math. and CS, Western Kentucky University, USA2
Dept of Computer Sci & Electrical Eng, West Virginia University, Morgantown, United States2
NCCU, USA2
WVU, USA2
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye2
Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye2
LIVIA, École de technologie supérieure, Université du Québec, Montréal, Canada2
Department of Electronic and Electrical Engineering, The University of Sheffield, South Yorkshire, U.K.2
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Electronics and Information Engineering, Anhui University, Hefei, China2
School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia2
Department of Computer Science, University of Texas at San Antonio, San Antonio, USA2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing, China2
Istituto Italiano di Tecnologia2
University of Verona2
Department of Electrical Engineering, Princeton University, Princeton, NJ, USA2
Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China2
Imperial College London, London, UK2
Technical University of München, Garching, Germany2
University of Bern, Bern, Switzerland2
University College London, London, UK2
School of Computer Engineering, Nanyang Technological University, Singapore 6397982
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
School of Electronic and Information Engineering, Dalian University of Technology, Liaoning, China2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Mathematics, Centre for Mathematical Imaging and Vision, Hong Kong Baptist University, Hong Kong2
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
Department of Computer Science, University of Texas, San Antonio, TX, USA2
Universidad Autónoma of Madrid (Spain)2
Seoul National University, Seoul, South Korea2
Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea2
Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA2
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia2
Centre for Intelligent Machines, McGill University, Montréal, Canada2
Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350108, China2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China2
Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY2
Department of Computer Science, Grove School of Engineering, CUNY City College, New York, NY2
Department of Computer Science, CUNY Graduate Center, New York, NY2
Department of Electrical Engineering, Grove School of Engineering, CUNY City College, New York, NY2
The University of Manchester, Manchester2
IBT, University of Tampere, Tampere, Finland2
DEIS, University of Bologna, Cesena, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Central University, Jhongli, Taiwan2
Deep Learning Group, Microsoft Research, Redmond, Washington United States2
Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea2
Duke University, NC, USA2
School of Educational Information and Technology, Central China Normal University, Wuhan, China2
Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan2
University of Florence, Firenze, Italy2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
University of Bucharest, 14 Academiei, Bucharest, Romania2
Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, USA2
Disney Research, CH2
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of Electronics, Goa University, Taleigao Plateau, India2
ACL Laboratory at Sharif University of Technology2
Captial Normal University, Beijing2
Water Optics Technology Pte. Ltd, Singapore2
Harbin Institute of Technology, Shenzhen, China2
Universitat de Barcelona, Spain2
Computer Vision Center (UAB), Spain2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
IBM Research India, New Delhi and Bangalore, India2
Peking University & Alibaba Group, Beijing, China2
Virginia Tech, USA2
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain2
SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain2
Toyota Technological Institute at Chicago, Chicago, IL, USA2
Toyota Technological Institute, Nagoya, Japan2
Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan2
Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA2
Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China2
University of Nottingham, Nottingham, United Kingdom2
University of Wisconsin-Madison, United States2
Artificial Intelligence Laboratory, University of Tsukuba, Japan2
Huizhou University, Huizhou, China2
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China2
Ars Electronica Futurelab, Linz, Austria2
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai2
Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China2
Multimodal Signal Processing Laboratory, The University of Texas at Dallas, Richardson, TX2
GE Healthcare, London, ON, Canada2
Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Faculty of Engineering and Information Technologies, UBTech Sydney Artificial Intelligence Institute, the School of Information Technologies, The University of Sydney, J12 Cleveland St, Darlington, NSW, Australia2
University of Maryland, College Park, MD2
University of Califonia, Berkeley, Berkeley, CA, USA2
P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation2
HAN University of Applied Sciences, Nijmegen, The Netherlands2
Simon Fraser University, Surrey, BC, Canada2
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China2
Yahoo Labs, San Francisco, USA2
Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China2
Division of IT Convergence, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea2
Kitware Inc., Clifton Park, NY, USA 120652
Dipartimento di Informatica, Università di Salerno, Fisciano, Italy2
Universidade do Porto, Porto, Portugal2
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia2
Stony Brook University, Stony Brook2
Autonomous Intelligent Systems, Computer Science Institute VI, University of Bonn, 53113, Germany2
University of California, Irvine, USA2
The Weizmann Institute of Science, Rehovot, ISRAEL2
Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom2
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla CA 92092, USA2
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy2
TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan2
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea2
Center for Future Media & School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China2
Dept. of Electr. Eng., Fed. Univ. of Parana, Curitiba, Brazil2
Institute of Linguistics Chinese Academy of Social Sciences, Beijing, China2
Environment Perception, Daimler AG, Sindelfingen, Germany2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand2
IST/ISR, Lisboa, Portugal2
Institute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil2
Changshang University of Science & Technology, China2
Institute of Image & Information Technology, Harbin Institute of Technology, China2
Australian National University, Canberra2
Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu2
Institute of Industrial Science, the University of Tokyo, 4-6-1 Komaba, Meguro-ku, JAPAN2
Laboratory of Automated Queuing Systems and Signal Processing, V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Department of Computer Science, National Chiao Tung University, Taiwan2
West Virginia University, MILab, LCSEE, 395 Evansdale Drive, Morgantown, 26506-6070, U.S.A.2
Dept. of Intelligent Interaction Technologies, University of Tsukuba, Japan2
Dept. of computer science, South Asian University, New Delhi, India2
School of Electronics& Information Engineering, Xi'an Jiaotong University, China2
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Guangdong Province, China2
Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia2
School of Computer Science and Software Engineering, The University of Western Australia, Nedlands, WA, Australia2
Department of Information Engineering, Chinese University of Hong Kong, Hong Kong2
Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, China2
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China2
Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China2
College of Computer Science, Chongqing University, Chongqing 400044, China2
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China2
Radboud University Nijmegen, The Netherlands2
Rutgers, The State University of New Jersey2
Dhirubhai Ambani Institute of Information and Communication Technology, India2
IT Innovation Centre, University of Southampton, United Kingdom2
Department of Electronic, Computer and Biomedical Engineering, Islamic Azad University, Qazvin branch, Iran2
Department of Electrical and Computer Engineering, Florida State University, Panama City, FL 324052
Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan2
Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India2
National Chiao Tung University, Hsinchu, Taiwan Roc2
Microsoft Research, Beijing, Taiwan Roc2
Dept. of Communication Engineering, Communication University of China, Beijing, China, 1000242
Compute Science and Engineering, Arizona State University, Tempe, 85281, USA2
BMW Group, Munich, Germany2
Fastcom Technology SA, Lausanne, Switzerland2
School of Information Science and Technology, Northwest University, Xi'an, P. R. China2
National University of Defense Technology, Hunan, China2
Robotics Institute, Carnegie Mellon University2
Swiss Federal, Institute of Technology, Lausanne (EPFL), Switzerland2
Department d'InformatiqueESST, Tunisia2
Department of Computer EngineeringKhalifa University, UAE2
School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, 2052, Australia2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea2
School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology, Sun Yat-Sen University, Guangzhou, China2
GREYC, CNRS UMR 6072, Université de Caen2
Harbin Institute of Technology, Weihai, China2
Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan2
LMU Munich, Germany2
IRCV Group, Rovira i Virgili University, Reus, Spain2
Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany2
Department of Computer Science and Engineering, Centre for Vision Research, York University, Ontario, M3J 1P3 Canada2
Department of Electrical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan2
Google, Mountain View, USA2
Center for Automation Research, UMIACS, University of Maryland, College Park, USA2
Department of Computer Science, University of Verona, Verona, Italy2
Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil2
Computer Science & Engineering, PEC University of Technology, Chandigarh, India2
University of London, London, United Kingdom2
Department of Simulation and Graphics, University of Magdeburg Universitätsplatz 2, 39106 Magdeburg, Germany2
DAI Laboratory, Technische Universität Berlin, Ernst-Reuter-Platz 7, TEL 14, 10587 Berlin, Germany2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Karlsruhe Institute of Technology, Institute for Anthropomatics, Adenauerring 2, 76131 Karlsruhe, Germany2
Hong Kong University of Science and Technology, Department of ECE, Clear Water Bay, Kowloon, Hong Kong2
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey2
Escola Universitaria Politecnica de Mataro, Spain2
Laboratory Heudiasyc, University of Technology of Compiègne, BP 20529. F-60205, France2
Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea2
Knowledge e-Learning Research Group2
Department of Mechanical Engineering, Temple University, Philadelphia, 19122, PA2
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
West Virginia University, Electrical Engineering, Morgantown, USA2
School of Computer, China University of Geosciences, Wuhan, China2
School of Digital Media, Jiangnan University, Wuxi 214122, Jiangsu, China2
Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China2
School of Mathematics and Statistics, Yunnan University, Kunming, China2
Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany2
Department of Computer Science, Aarhus University, Denmark2
Czech Technical University, Prague, Czech Republic2
Department of Informatics, University of Hamburg, Germany2
Max-Planck Institute for Informatics, Saarbrücken, Germany2
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea2
Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing, China2
Eastman Kodak Company, Rochester, USA2
Naver Labs Europe, Meylan, France2
Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Cornell Lab of Ornithology, USA2
Electrical and Computer Engineering, University of Victoria, BC, Canada2
LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France2
Sapienza Università di Roma, Roma, Italy2
Computer Science Department, University of Moncton, NB, Canada, E1A 3E92
Department of Computer Sciences, The University of Texas at San Antonio, San Antonio, TX, USA2
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Automated Driving Department, Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
School of Computer and Information Science, Northumbria University Newcastle upon Tyne, United Kingdom2
University of Oxford, Oxford OX, UK2
Institute of Applied Mathematics, Academy of Science, Beijing, 100190, China2
State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China2
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
School of Automation, Wuhan University of Technology, Wuhan, Hubei Province, China2
School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei Province, China2
Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye2
National University of Singapore, Nanyang Avenue, Singapore2
IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea2
Department of Computer Science, The Hebrew University of Jerusalem2
Information Technologies Institute, Centre for Research and Technology Hellas, Greece2
Universidad Politécnica de Madrid (GATV), Spain2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Department of Digital Systems, University of Piraeus, Piraeus, Greece2
University of Washington, Seattle, United States2
National Technical University of Athens, Athens2
GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia2
Department of Computer Science, University of Virginia2
Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
Department of Biomedical Engineering, Shenzhen University, China2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Bilgisayar Mühendisliği, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye 068002
Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India2
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Beijing, China2
Google, Mountain View, CA2
Institute of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan2
Department of Electronic Engineering and Information Science, CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China2
Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara2
University of California, Riverside Riverside, CA, 92521, USA2
Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)2
University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN2
Computer Science, University of Haifa, Carmel, 31905, Israel2
Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, Houston, USA2
University of Chicago, Chicago, IL, USA2
Intel Labs, Pittsburgh PA2
Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy2
School of Information Engineering, Nanchang University, China2
College of Computer Science and Software Engineering, Shenzhen University, China2
California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA2
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China2
Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India2
OFFIS - Institute for Information Technology, Oldenburg, Germany2
University of Oldenburg, Oldenburg, Germany2
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Computer Vision Center, Cerdanyola del Vallès, Spain2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China2
Department of Electrical Engineering and Advanced Institute of Manufacturing with High-Tech Innovations, National Chung Cheng University, Chiayi, Taiwan2
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada2
Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Turkey2
Communication Systems Group, Technische Universitat Berlin, Germany2
Dayeh University, 168 University Rd., Dacun, Changhua 515, Taiwan, (886)4-8511888#21982
Robot Intelligence Lab, Dyson School of Design Engineering, Imperial College London, UK2
Computer Science Department, Technical University of Cluj-Napoca, Cluj Napoca, Romania2
National Ilan University, Ilan, Taiwan Roc2
GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain2
CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Elektrik - Elektronik Mühendisliği Bölümü, Atılım Üniversitesi, Ankara, Türkiye2
Dept. of Computer Science, University of Verona, Italy2
CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France2
Université Pierre et Marie Curie (LIP6), Paris, France2
TNLIST, Department of Automation, Tsinghua University2
Faculty of Engineering, Universitas Indonesia, Indonesia2
Institute of Information Science, Beijing Jiaotong University, Beijing, China 1000442
Sorbonne Universités, Paris, France2
Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea2
University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom2
School of Computer Software, Tianjin University, Tianjin, 300350, China2
Shandong Agricultural University, College of Information Science and Engineering, China2
Signal Processing of Ministry of Education Southeast University, Key Laboratory of Underwater Acoustic, China2
National Innovation Centre for Ageing, Newcastle University, UK2
Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China2
School of Computer Science and Technology, Tianjin University, Tianjin2
Dept. of Electrical and Computer Engineering, National University of Singapore2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Department of Computing, the Hong Kong Polytechnic University, Hong Kong2
EIS, Huazhong Univ. Sci. and Tech., China2
Center for Automation Research, University of Maryland, College Park, 20742, United States of America2
Computer Vision Center, Spain2
Khalifa University, Abu Dhabi, UAE2
Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA2
Virginia Tech Transportation Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States2
Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Republic of Korea2
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Republic of Korea2
Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China2
Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India2
Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA2
Istanbul Technical University, Istanbul, Turkey2
Center for Research in Intelligent Systems, University of California, Riverside, USA 925072
Information and Communication Technology, Gautam Buddha University, Greater Noida2
The 28th Research Institute of China Electronics Technology Group Corporation, China2
Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France2
Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China2
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China2
University of Southampton, Southampton2
School of Computer & Communication Engineering, University of Science and Technology Beijing, China2
School of Computer Science, University of Windsor, Canada N9B 3P42
University of Notre Dame, USA2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R.China2
Coursera and Stanford University2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Department of Oncology, University of Oxford, Oxford, UK2
Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China2
University of Alberta, Alberta, Canada2
Arizona State University, Tempe AZ, USA2
IMT Lille Douai, Lille, France2
Institution of Information Science, Beijing Jiaotong University, Beijing, China2
Division of Electronics and Communication Engineering, School of Engineering, Cochin University of Science and Technology, Kochi - 682022, Kerala, India2
Convergent SoC Research Center Korea Electronics Technology Institute2
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies2
Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan2
Bilgisayar Mühendisliği Bölümü, Yildiz Teknik Üniversitesi, Turkey2
University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia2
Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C.2
Keio University, Tokyo, Japan2
Keio University, Yokohama City, Kanagawa, Japan2
School of Computer and Control Engineering, University of the Chinese Academy of Sciences, Beijing, China2
Innovation Center, Canon USA Inc., San Jose, California2
University of Texas at San Antonio, San Antonio, Texas2
University of Ottawa, Ottawa, Canada2
Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany2
School of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, USA2
u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria2
Institute of Neural Information Processing, University of Ulm, Ulm, Germany2
Technical center for the Mechanical Industry (CETIM), France2
University of Modena and Reggio Emilia, Modena, Italy2
COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil2
Inst. of Comput. Sci., Univ. of Leoben, Austria2
Dept. of Information Engineering, The Chinese University of Hong Kong, Hong Kong2
Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran2
CENPARMI, Concordia University, Montréal, Québec, Canada2
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 14623, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey2
Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA2
Computer Science and Technology, Tsinghua University, Beijing, China2
Graduate School of Information Science, Department of Media Science, Nagoya University, Japan2
School of Electronics and Computer Science, University of Southampton, Southampton, UK2
Dept. of Electronics, Telecommunications and IT, University Politehnica Bucharest, Romania2
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA2
GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France2
National Institute of Standards and Technology2
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia2
Department of Mechanical Engineering, National University of Singapore, Singapore2
Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany2
Dept. of Comput. Sci. & Eng., Univ. of California, Riverside, CA, USA2
University of Southampton, SO17 1BJ, UK2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr2
Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan2
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan2
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA2
Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
Shanghai University, School of Communication & Information Engineering, Shanghai, China2
Center for Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, 90014 Oulu, Finland2
Movidius Plc., Dublin, Ireland2
Collage of Electronic and Information Engineering, South China University of Technology, Guang Zhou, China2
Department of Mathematics, Center for Computer Vision, Sun Yat-Sen University, Guangzhou, China2
Department of Computing, The University of the West Indies, Mona, Kingston 72
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea2
TCL Research America, San Jose, CA 951342
Institute of Computing (ICOMP), Federal University of Amazonas, Brazil2
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea2
Micron Technology Inc.2
School of Computing Sciences, University of East Anglia, Norwich, United Kingdom2
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China2
School of Geosciences, University of South Florida, Tampa, FL, USA2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
School of IoT Engineering, Jiangnan University, Wuxi, People’s Republic of China2
Telecommunications and Informatics Gdansk University of Technology, Department of Computer Architecture Faculty of Electronics, Gdansk, Poland2
ARC Centre of Excellence for Robotic Vision, Monash University, Australia2
LTCI, Télécom ParisTech, Paris2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, P.R. China2
Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Dept. of Computer Science & Engg. IIT Bombay2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
University of British Columbia, Canada2
Computer Science, Fudan University, Shanghai, 201203, China2
Electronic Engineering and Computer Science, Queen Mary University, London, United Kingdom2
Berger Levrault, Labege, France2
Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
School of Electronic Engineering and Computer Science Queen Mary University of London2
Faculty of Computers and Information, Cairo University, Egypt2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, United Kingdom2
School of Computing Sciences, University of East Anglia2
Multimedia Processing Laboratory, Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan2
UIET, Panjab University, Chandigarh, India2
Department of Electronics, University of Goa, India2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-453331, India2
Advanced Medical Electronics, USA2
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Department of Computer Science, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Faculty of Information Sciences and Engineering, University of Canberra, Australia2
RSISE, Australian National University, Australia2
School of Computing and Mathematics, Charles Sturt University, Sydney, NSW, Australia2
Fraunhofer IAIS, Sankt Augustin, Germany2
University of California at Los Angeles, Los Angeles, CA, USA2
Department of Electrical Engineering, University of Washington, Washington USA2
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan2
INAOE, Puebla, Mexico2
School of Automation, Huazhong University of Science and Technology, Wuhan, China 4300742
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
University of Memphis, Memphis, TN2
School of Mathematical Sciences, Rochester Institute of Technology, NY 14623 USA2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer Science. Chongqing University, Chongqing, China2
Bilgisayar Mühendisliği Bölümü, Marmara Üniversitesi, İstanbul, Türkiye2
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, China2
Departamento de Computação, Universidade Federal do Piauí, Teresina, Brasil2
Institute of software, Chinese Academy of Sciences, Science and Technology on Integrated Information System Laboratory, Beijing, China2
School of Electrical & Information Engineering, University of Sydney, NSW 2006, Australia2
School of Engineering and Computer Science, Independent University, Bangladesh2
School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ2
University of Electronic Science and Technology of China, West Hi-Tech Zone, Chengdu, SiChuan, China2
School of Computer Science, University of Windsor, Windsor, Canada2
Department of Computer Science, College of Natural Sciences & Mathematics, University of Houston2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, China2
Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany2
University of Dayton, Dayton, OH 454692
KU Leuven ESAT-PSI, iMinds2
Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India2
Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Turkiye2
School of Information Science and Technology, Jiujiang University, China2
Research Institute of Wuhan University in Shenzhen, China2
Machine Intelligence Unit, Indian Statistical Institute, Kolkata-108, INDIA2
Computational Biomedicine Lab, University of Houston2
Institut TELECOM; TELECOM Lille 1, France2
Shenzhen Key Lab of Comp. Vision and Patt. Recog., Shenzhen Institute of Advanced Technology, CAS, P.R. China2
Department of ECE, University of Delaware, USA2
University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea2
Centre for Intelligent Sensing, Queen Mary University of London, UK2
Institute of Advanced Manufacturing Technology, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China2
Department of Electronic and Electrical Engineering, Ewha W. University, Seoul, Korea2
Department of Electrical Engineering, National Tsing Hua University, Taiwan2
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong2
Beijing Innovisgroup Tec Co. LTD, Beijing, China2
Massachusetts Institute of Technology, Cambridge, USA2
Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia2
Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia2
Université de La Rochelle, France2
Kyungpook National University, Buk-go, Daegu, Republic of Korea2
University of California, Davis, Davis, CA, USA2
INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France2
Industrial Automation Research Laboratory, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong2
Department of Mathematics and Computer Science, University of Catania, Italy2
CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France2
Laboratoire de Signal, Images et Technologies de l'Information (LR-SITI-ENIT), Université Tunis El Manar Ecole Nationale d'Ingénieurs de Tunis2
Division of Control, EEE, Nanyang Tech. Univ., Singapore2
UNICA, Italy2
Taiger, Spain2
Dept. of Computer Science and Engg., IIT(BHU), Varanasi, India2
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria2
Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France2
ENST, Bretagne, GET-ENST, Brest, F-29200 France2
CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France2
Univ Bretagne Occidentale, U650, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France Mathieu.Lamard@univ-brest.fr2
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany2
Mount Sinai Hospital, Toronto, Canada2
School of Information Science & Technology, Sun Yat-sen University, and SYSU-CMU Shunde International Joint Research Institute, China2
Computer Science Department, Portland State University2
Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
Aviation University of Airforce, Changchun, 130022, China2
University of Valencia2
Department of Information and Communication Engineering, Arulmigu Meenakshi Amman College of Engineering, Vadamavanthal, Thiruvannamalai, Tamilnadu2
Ghent University - imec - MICT, Korte Meer, Ghent2
Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent2
Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel2
Department of Electronic Engineering, Fudan University, Shanghai, 200433, China2
Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India2
Department of Computer Science and Engineering, Christ University, Bengaluru, India2
Augsburg University, Augsburg, Germany2
Augsburg University, Augbsurg, Germany2
Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore2
Cardiff University2
Nankai University2
Institute of Informatics, Silesian University of Technology, Gliwice, Poland2
The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan2
Department of Computer Science, University of York, YO10 5GH, UK2
School of Automation, Southeast University, Nanjing, China, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China2
Teachers College, Columbia University, NY, USA2
University of Notre Dame, Notre Dame IN, USA2
DAIICT, Gandhinagar, India2
Department of Software College, Northeastern University, Shenyang, China2
National University of Defense and Technology2
Utrecht University, CC Utrecht, The Netherlands2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, USA2
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece2
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA2
Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep.2
Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China2
iCV Group, Institute of Technology, University of Tartu, Tartu 50411, Estonia2
National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia2
Software Engineering Institute, Pittsburgh, PA2
School of Aerospace Engineering, Tsinghua University, Beijing, China2
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), State Key Lab of Intelligent Technologies and Systems, Tsinghua University, Beijing, China2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea2
REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia2
College of Automation Science and Engineering, South China University, Guanghzou, 510641, China2
Department of Electric and Electronics, Selçuk University, Konya, Turkey2
Simon Fraser University, Burnaby, Canada2
INRIA, Paris, France2
Research Center of Intelligent Robotics, Department of Automation, Shanghai Jiao Tong University, 200240, China2
USICT GGSIPU, Delhi, India2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China2
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan2
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, 4259-R2-52 Nagatsuta, Midori-ku, Yokohama, JAPAN 226-85032
School of Computer Science and Engineering, Chongqing University of Technology, China2
Multimedia Communications Department, EURECOM, 2229, Route de Cretes, BP 193, F-06560, Sophia-Antipolis, France2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Institute of Computer Science and Technology, Peking University, Beijing 100871, China2
Robotics and Perception Group, University of Zurich, Zurich, Switzerland2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
SoC Platform Research Center, Korea Electronics Technology Institute, Sungnam, Republic of Korea2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Yonsei University, Incheon, South Korea2
CAI, University of Technology Sydney, Sydney, Australia2
Institute of Linguistic Sciences, Jiangsu Normal University, Xuzhou, China2
National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China2
Jiaxing University, Jiaxing, China2
National Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China2
Commonwealth Scientific and Industrial Research Organisation, Clayton South, Vic. , Australia2
Speech, Audio, Image and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia2
Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China2
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan2
School of Computer Science, China University of Geosciences, Wuhan 430074, China2
Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia2
Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain2
SCOPE Vellore Institute of Technology, Vellore, India2
School of Computer Science and Technology, HuBei University of Science and Technology, Xianning, 437100, China2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Benha Faculty of Engineering, Benha University, Benha, Egypt2
Ashikaga Institute of Technology, 268-1, Ohmae-cho, Tochigi 326-8558, Japan2
Department of Electrical and Computer Engineering, University of Texas at Dallas, Multimodal Signal Processing (MSP) Lab, Richardson, TX, 75080, USA2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany2
LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco2
Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain2
Institute of Computing - University of Campinas, SP, Brazil, 13083-8522
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye2
School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Nanyang Technological University, Electrical and Electronic Engineering, Nanyang Link, Singapore 6397982
Department of Automation, MOE of China, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing, Shanghai, China2
National Taiwan University of Science and Technology, No.43, Keelung Rd., Sec.4, Da'an Dist., Taipei City 10607, Taiwan2
Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco2
RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
Université Pierre et Marie Curie, Paris, France2
Amity School of Engineering and Technology, Amity University, Uttar Pradesh, India2
HERE Technologies, Chicago, Illinois, 60606, USA2
Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China2
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Australian Center for Visual Technologies, University of Adelaide, SA, Australia2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, People's Republic of China2
Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan2
Leiden University, Leiden, The Netherlands2
TNO, The Hague, The Netherlands2
National Institute of Standards and Technology, Gaithersburg, USA2
Faculty of Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece2
Institute of Information Science, Beijing Jiaotong University, Beijing 1000442
Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey2
University Moulay Ismail, Meknes, Morocco2
Computer and Electronics Security Systems, Department of Computer Science and Digital Technologies, Northumbria University, UK2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xian, 710049, China2
Multimedia Computing Lab, University of Augsburg, Germany2
Graduate School of Informatics, Nagoya University, Nagoya, Japan2
Faculty of Electrical and Computing Engineering, University of Campinas, Campinas, São Paulo, Brazil 13083-8522
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
School of Computer Science and Technology, Tianjin University, 300072, China2
LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco2
LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco2
Department of ICT, FM University, Balasore, Odisha, India2
Amsterdam University College, Amsterdam, The Netherlands2
Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands2
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies, and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
INRIA Rhone-Alps, Montbonnot, France2
Imperial College London2
University College London, Department of Computer Science, Malet Street, WC1E 6BT, UK2
Graduate University of Chinese Academy of Sciences, Beijing, 100049, China2
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA2
The University of Waikato, Knighton Road, Hamilton, New Zealand2
NIT Jaipur2
Department of Information & Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia2
School of Computer Science and Engineering, The University Of New South Wales, Sydney, Australia2
Department of CSE, Tezpur University, Napaam, Assam2
Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium2
IBM T. J. Watson Research, Center, New York, USA2
University of Notre Dame, Notre Dame, Indiana2
Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland2
Group Research of Daimler AG in Ulm, Germany2
Computer Engineering, Rochester Institute of Technology, USA2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea2
Australian Centre for Visual Technologies, University of Adelaide, 5005 South Australia, Australia2
University of Michigan, Ann Arbor, USA2
Adobe Research, San Jose, CA2
School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China2
NASA's Goddard Space Flight Center2
Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada2
Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia2
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China2
LMU Munich, Munich, Germany2
Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA2
Department of Computer Science, Kent State University, OH 44242, U.S.A.2
Purdue University, West Lafayette, USA2
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia2
School of Computer Science and Technology, Nanjing Normal University, China2
Schoool of Electronic Engineering, Xidian University, Xi'an, China2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
Laboratory of Inverses Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications University of 08 Mai 1945 - Guelma -, Algeria2
Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan2
Department of Computer Science & Information Engineering, National Central University, Taoyuan, Taiwan2
Robot Department, Chubu University, Aichi 487-8501, Japan2
Computer Science Department, Chubu University, Aichi 487-8501, Japan2
Northeastern University, USA2
Morpho, Safran Group, (Issy-les-Moulineaux), 11 bd Gallieni, 92130, France2
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Nanjing, China2
College of Software, Shenyang Normal University, Shenyang, China2
Electrical Engineering Department, University of Guilan, Rasht, Guilan, Iran2
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India2
International School, Beijing University of Posts and Telecommunications, Beijing, China2
School of Information Science and Technology, Beijing Forestry University, Beijing, China2
Department of Engineering, University of Perugia, Perugia, Italy2
School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA2
Distributed Multimedia Systems Technical University of Darmstadt, Germany2
Michigan State University, East Lansing, U.S.A.2
São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil2
Department of Cognitive ScienceSchool of Information Science and Engineering, Xiamen University, Xiamen, China2
Center for Research in Intelligent Systems, University of California, Riverside, CA, 925212
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China2
University of Dayton, Dayton, USA2
College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China2
Department of Mathematics, Universitas Inonesia, Depok, Indonesia2
Department of Physiology & Pharmacology, School of Medicine, Wake Forest University, Winston-Salem, NC, USA2
Labo Handibio, University of Toulon-Var, France2
School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland UK2
The University of Queensland, St. Lucia, QLD2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
University of Valladolid (Spain), Dep. Of Systems Engineering and Automatic Control, Industrial Engineering School2
ECE/UPATRAS, Patras, Greece2
CERTH/ITI, Thessaloniki, Greece2
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, Australia2
Yahoo Research, Sunnyvale, CA, USA2
Shanghai Jiaotong University, Shanghai, China2
Department of Computer Science and Engineering, Michigan State University, East Lansing, 48824, U.S.A.2
Heidelberg University, Heidelberg, Germany2
Information Technology, NICHE, Noorul Islam University, Kumaracoil, Thuckulay, India2
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA2
Department of Computer Engineering, Sejong University, Seoul, Korea2
Department of Computer Science, University of Warwick2
Max-Planck-Institute for Informatics, Saarbrücken, Germany2
Photogrammetry and Remote Sensing Laboratory, ETH Zürich, Switzerland2
Shenzhen University, Shenzhen, China2
University of Bern, Neubrückstrasse 10, Bern, Switzerland2
Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Department of Automation, North-China University of Technology, Beijing, China2
School of Computer, Wuhan University, Luo-jia-shan, Wuchang, Hubei Province, China2
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
Naval Research Laboratory, Washington, DC 203752
Department of Electrical and Computer Engineering, University of Miami2
North Carolina State University, ECE Department, Raleigh, NC-27606, USA2
CongniVue Corporation, Gatineau, QC, Canada2
University of Engineering and Technology, Hanoi, Vietnam2
School of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K.2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad 211012, India1
College of Computer Science and Electronic Engineering, Hunan University, China1
Shenzhen Sunwin Intelligent Co., Ltd, China1
Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran1
College of Optical Sciences, University of Arizona, Tucson, AZ, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong1
Toyota InfoTechnology Center, Mountain View, CA 94943 USA1
Nokia Corporation, San Francisco, CA, USA1
Yahoo Research, USA1
Research Center of Learning Science, Southeast University, Nanjing 210096, China; The Engineering Research Center of Information Processing and Application, Southeast University, Nanjing 210096, China1
Department of Mathematics, University of Punjab, Lahore, Pakistan1
School of Systems and Technology, University of Management and Technology, Lahore, Pakistan1
Guangdong Key Laboratory of Information Security Technology, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Yazd University, Yazd, Iran1
University of Texas at Austin, Austin, TX, USA1
Core Technology Center Omron Corporation Kyoto, Japan1
Dept. of Newmedia, KGIT, Seoul, Republic of Korea1
School of Electrical and Electronic Eng., Yonsei Univ.1
Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany1
Corporate Technology, Siemens AG, München, Germany1
Empolis Information Management GmbH, Kaiserslautern, Germany1
Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany1
Carnegie Mellon University, PA, 152131
School of Computer Science and Technology, Soochow University, Suzhou, China, 2150061
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain1
College of Information Engineering, Shenzhen University, Shenzhen, China1
Department of Mathematics, Florida State University, Tallahassee, 32306, USA1
University of Seville , Sevilla, Spain1
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan1
Bilgisayar Mühendisliği Bölümü, ITÜ1
Bili§im Enstitüsü, İTÜ1
Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia1
school of computer science and engineering, Xi¿an University of Techonology, China1
Faculty of Computer Science and Information Technology, YunNan Normal Univeristy, 650092, China1
School of Management, Capital Normal University, Beijing, China1
College of Computer Science and Technology, Qingdao University, Qingdao, China1
College of Automation and Electrical Engineering, Qingdao University, Qingdao, China1
School of Data Science and Software Engineering, Qingdao University, Qingdao, China1
Department of Electronic Engineering, Shanghai Jiaotong University, China1
Google, inc., Pittsburgh, PA, USA1
Google, Inc, Pittsburgh, PA, USA1
School of Comp. Eng., NTU, Singapore1
Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran1
Department of Electrical Engineering, Electronics Research Institute, Sharif University of Technology, Tehran, Iran1
Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany1
Omron corporation1
Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil1
Interactive and Digital Media Institute, National University of Singapore, Singapore1
Department of Computer Science, Xiamen University, Xiamen, P.R. China1
Shenzhen Silver Star Intelligent Technology Co., LTD, China1
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY 146231
Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 146231
II-LIDI, UNLP, La Plata, Argentina1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it1
Digital Image Group (DIG), London, Canada1
Department of Medical Imaging, Western University, London, Canada1
Computational Medicine Lab, Shandong University of Traditional Chinese Medicine, Jinan, China1
Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es1
Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es1
ShanghaiTech University, Shanghai, China1
Intel Corporation, Hudson, MA, USA1
Nvidia Research, Westford, MA, USA1
Computer Engineering, Hacettepe University, Ankara, Turkey1
Computer Science, Boston University, Boston, USA1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Mühendislik ve Doğa Bilimleri Fakültesi, Sabancı Üniversitesi, İstanbul, Türkiye1
TÜBİTAK-BİLGEM, Kocaeli, Türkiye1
ShanghaiTech University1
Carleton University1
Shenzhen University1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Australia1
Stanford University, Department of Psychology, Jordan Hall, 450 Serra Mall, Building 420, Stanford, CA 94305, USA1
University of New South Wales, 2052 Sydney1
Graphic Era University, Dehradun, India1
Uttarakhand Technical University, Dehradun, India1
Jilin University, Changchun, China1
Università di Trento, Povo, Italy1
Amrita E-Learning Research Laboratory, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences1
School of Engineering and Computing, University of the West of Scotland1
Computer Science Department, Central Washington University (CWU)1
ICT Center, CSIRO1
Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates1
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Computer Science, University of Waterloo, Waterloo, ON, Canada1
Center of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia1
Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia1
Technische Universität München, München, Germany1
LCSEE, West Virginia University, Morgantown, WV 26506, USA1
AT&T Labs Research, Middletown, NJ, USA1
Peking University Shenzhen Graduate School & Peking University, Shenzhen, China1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China1
Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan1
Faculty Of Electrical And Computer Engineering, University of Tabriz, Tabriz, Iran1
Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Redpine Signals Inc., Hyderabad, India1
Indian Institute of Technology, Hyderabad, India1
Centre for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Department of Electronic Engineering Shanghai Jiao Tong University1
Institute of Communication Engineering, National Tsing-Hua University, Taiwan1
Foundation for Research and Technology--Hellas (FORTH), Greece1
Stanford University, Stanford, California, USA1
Department of Electronics and Telecommunication, College of Engineering Roorkee, India1
HAVELSAN A.Ş., Ankara, Türkiye1
Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye1
I.K. Gujral Punjab Techncial University, Kapurthala, India1
Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia1
Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia1
Energy Research Institute @NTU (ERI@N), Interdisciplinary Graduate School, Nanyang Technological University, Singapore 6397981
Harvard University & Microsoft Research, Boston, MA, USA1
OLM Digital Inc, Setagaya, Japan1
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan1
School of Computer Science, Guangzhou University, Guangzhou, China1
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China1
College of Information and Electrical Engineering, Ludong University, Yantai, China1
Wakayama University1
U. of Illinois at Urbana-Champaign, USA1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Tsinghua University, Microsoft Research Asia, Beijing, China1
Xi'an Institute of Optics and Precision Mechanics &Chinese Academy of Sciences, Xi'an, China1
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guilin University of Electronic Technology, Guilin, People’s Republic of China1
School of Mathematical Sciences, Dalian University of Technology, Dalian, People’s Republic of China1
School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China1
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, China1
ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye1
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Department of Automation, Northwestern Polytechnical University, Xi’an, China1
School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China1
Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine1
Computer Science, University of Arkansas at Little Rock, Little Rock, USA1
Computer Science, Azusa Pacific University, Azusa, USA1
School of Information Science and Engineering, Fudan University, Shanghai, China1
Temasek Laboratories, Nanyang Technological University, Singapore and University of Applied Sciences Wiesbaden, Rüsselsheim, Germany1
Temasek Laboratories, Nanyang Technological University, Singapore1
Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Korea1
Intel Corporation, Beijing, China1
College of Computing, Georgia Tech1
Corporate Research, Robert Bosch GmbH, Stuttgart, Germany1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, P. R. China1
School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
Centre of Expertise in Computer Vision & Data Science, NHL Stenden University of Applied Sciences, Leeuwarden, The Netherlands1
Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Department of Physics, Indian Institute of Technology Delhi, New Delhi, India1
HCL Technologies, Chennai, India1
Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA1
Institute for Infocomm Research (IR) Singapore 1386321
Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. luc.vangool@vision.ee.ethz.ch1
KU Leuven, Leuven, Belgium. kurt.cornelis@esat.kuleuven.be1
KU Leuven, Leuven, Belgium. nico.cornelis@esat.kuleuven.be1
INRIA / Ecole Normale Supérieure, France1
Graduate University, Chinese Academy of Sciences, China1
Cairo University, Egypt1
Dept. of Computer Engineering, Science and Reaserch Branch, Islamic Azad University, Tehran, Iran1
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran1
Precision Silver LLC, Gainesville, FL1
Key Laboratory of Intelligent Perception and Image Understanding, Xidian University, Xi'an, China1
Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan1
Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 1000811
Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece1
National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece1
University of Maastricht, Maastricht, The Netherlands1
Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), the State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia1
Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain1
Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA1
MNNIT Allahabad, Allahabad, India1
School of Data and Computer Science, Sun Yat-sen University, P.R.China1
Google Inc., Singapore1
German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany1
Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia1
School of Engineering, University of California at Merced, Merced, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA1
Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore1
School of Computing and Communications, University of Technology Sydney, Ultimo, Australia1
School of Information Technology & Management, University of International Business and Economics, Beijing, China1
Department of Applied Electronics, Gulbarga University, Kalaburgi, India1
State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China1
Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan1
IUSIANI, Univ. de Las Palmas, Spain1
Mathematics and Statistics, UNC Wilmington, North Carolina, United States1
Computer Science, UNC Wilmington, North Carolina, United States1
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Department of Automation, Shanghai Jiao Tong University, Shanghai, People’s Republic of China1
Beijing Institute of Technology, Beijing 100081, P.R. CHINA1
Department of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Computational Vision Group, University of California at Irvine, Irvine, CA, USA1
Department of Computer Science and Technology, The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Department of Computer Science and Engineering, American University of Sharjah, UAE1
Intelligent Control Systems Laboratory, Griffith University, Brisbane, Australia1
Queen's University Belfast, UK1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. w.l.woo@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. s.s.dlay@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. m.a.dabbah@newcastle.ac.uk1
Thoraxklinik-Heidelberg GmbH, Germany1
Department of Electrical Engineering, National Taiwan University of Science and Technology1
Aalborg University, Aalborg SV, Denmark1
Department of Electrical Engineering, University of Biskra, Biskra, Algeria1
Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria1
Inst. for Infocomm Res., Singapore1
University of Lincoln, U. K.1
Qihoo 360 AI Institute, Beijing, China1
Bilgisayar Mühendisliği Bölümü, Iğdır Üniversitesi, Türkiye1
Institute for Infocomm Research, Connexis South, Singapore1
DISI - Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany1
Siemens Medical Solutions, Innovations Division, CA 94043, USA1
Heidelberg University, Heidelberg, BW, Germany1
Department of Electrical and Systems Engineering, University of Miyazaki, Japan1
Department of Environmental Robotics, University of Miyazaki, Japan1
Department of Materials and Informatics, University of Miyazaki, >Japan1
UFMG, Belo Horizonte, Brazil1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. roland.goecke@anu.edu.au1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. jason.saragih@rsise.anu.edu.au1
Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain1
University of Malaga , Malaga, Spain1
Universidad de Granada , Granada, Spain1
Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India1
Apollo Institute of Technology, Kanpur, India1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. mkp@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. tahonen@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. jukkaho@ee.oulu.fi1
Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Graduate School of Engineering, Nagoya University, Furo-cho, chikusa-ku, Nagoya, Japan1
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
National Chung-Shan Institute Science and Technology1
Netherlands Defence Academy and Delft University of Technology1
Delft University of Technology and Netherlands Defence Academy1
Biometrics Research Center, Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong1
College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Science and Engineering, Michigan State University, Lansing, USA1
Engineering Science Department, University of Oxford, Oxford, UK1
Volvo Construction Equipment, Göthenburg, Sweden1
Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Science, Shahid Beheshti University, GC, Tehran, Iran1
Department of Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran1
Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland1
Centre for Image Processing & Analysis, Dublin City University, Dublin 9, Ireland1
Research Group for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain1
Department of Electrical and Electronic Engineering, Public University of Navarra, Pamplona, Spain1
Information Processing Lab, Department of Electrical Engineering, University of Washington, Seattle, WA, USA1
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China1
The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
University of California, San Diego, La Jolla, CA, USA1
College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian, China1
Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China1
School of electronic information, WuHan University, Wuhan, China1
Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan, China1
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
Megvii Inc. (Face++), China1
Institute of Informatics and Telecommunications NCSR 'Demokritos', Athens, Greece and Electrical and Computer Engineering, National Technical University of Athens, Greece1
Mila, Université de Montréal, Quebec, Canada1
Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea1
Department of Electrical Engineering, Indian Institute of Technology Delhi, India1
Department of Computer Science and Engineering, Indian Institute of Technology Delhi, India1
Department of Computer and System Sciences, Visva-Bharati University, Santiniketan - 731 235, India1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Dhofar University, Oman, Salalah1
LARODEC Laboratory, University of Tunis, Tunis, Tunisia1
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong1
Department of Computer Engineering, Batman University, Batman, Turkey1
Department of Electrical and Electronic Engineering, Batman University, Batman, Turkey1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, nep@cs.york.ac.uk1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, mromero@cs.york.ac.uk1
Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea1
Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey1
College of Humanities & Sciences of Northeast Normal University, Changchun, China1
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001901
Computer Science and Engineering, Anna University, Chennai, India1
Institute of Computer Science, Shiraz Bahonar Technical College, Iran1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
University of São Paulo1
University of Porto1
Federal Institute of São Paulo1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, USA1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Rd., Houston, TX 77204, USA1
LAMIH Université de Valenciennes, Paris, France1
LGB Université Mohamed Khider, Biskra, Algérie1
LMSE Université Mohamed Khider, Biskra, Algérie1
Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea1
Department of Electronics and Communication Engineering, Amity University, Noida, India1
Hiroshima University, Higashi-Hirosima-shi, Japan1
Meijo University, Nagoya-shi, Japan1
MIT, Cambridge, MA1
Oregon State University, OR1
HES-SO, Sierre, Switzerland1
Vienna University of Technology, Austria1
University of Notre Dame, Notre Dame, IN. flynn@nd.edu1
University of Notre Dame, Notre Dame, IN. kwb@cse.nd.edu1
University of Notre Dame, Notre Dame, IN. dthomas4@nd.edu1
George Mason University, Fairfax, VA 220301
College of Mechanical Engineering & Automation, Huaqiao University, Xiamen, China1
College of Computer Science & Technology, Huaqiao University, Xiamen, China1
Computer Engineering Department, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
School of Civil and Environmental Engineering, Oklahoma State University, Stillwater, USA1
Moshanghua Tech Company, Ltd., Beijing, China1
College of Information Engineering, Xiangtan University, Xiangtan, China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, China1
Department of Imaging and Computer Vision, Siemens Corporate Research, Princeton, NJ, USA1
School of Engineering, The Australian National University, Canberra, Australia1
School of Computer Science, National University of Defense Technology, Hunan , China1
School of Computer Science, National University of Defense Technology, Changsha , China1
College of Information System and Management, National University of Defense Technology, Changsha, China1
Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Department of Electrical Engineering, Columbia University, New York, NY1
Department of Statistics, Stanford University, Stanford, CA1
Department of Computer Science, University of Toronto, Canada1
School of Computer Engineering, Nanyang Technological University, Singaore, Singapore1
Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Waterloo, ON, Canada1
School of Electrical & Electronic Engineering, Nanyang Technological University, 639798 Singapore1
Department of School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Institute of Electrical Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland1
Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Milan, Italy1
UNLV STEM, Las Vegas, Nevada1
School of Computer Science and Information Technology, University of Nottingham, Nottingham, UK1
Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN, USA1
Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India1
Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India1
Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India1
Department of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
VU Amsterdam, Van der, Amsterdam, The Netherlands1
University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, UK1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Brazil1
Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Brazil1
Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA1
Anhui Keli Information Industry Co. Ltd., Hefei, China1
Key Laboratory of Machine Perception (Peking University), MOE, Department of Machine Intelligence School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
INRIA, Grenoble Rhône-Alpes Research Center, Paris, France1
CWI, Amsterdam, Netherlands1
VU University Amsterdam, Amsterdam, Netherlands1
Universitat Politecnica de Catalunya, Barcelona, Spain1
TU Munich, Munich, Germany1
Department of Computer Science and Engineering, Indian Institute of Technology, Guwahati, India1
UNSW Art & Design, University of New South Wales, Sydney, Australia1
Department of CSE, Annamalai University, Chidambaram, India1
Department of ECE, Annamalai University, Chidambaram, India1
(CSE)PGOI, Indore1
PGOI, Indore1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA1
Computer Sciences Department, University of Wisconsin, Madison, USA1
Shaanxi Provincial Key Laboratory of SIIP, School of Computer Science, Northwestern Polytechnical University, Xi'an China1
University of Naples Federico II, Napoli, Italy1
IBM T. J. Watson Research Center, International Business Machines, Yorktown Heights, USA1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna1
School of Computing and Communications, University of Technology Sydney, NSW 2007 Australia1
Electrical and Electronic Engineering Department, Public University of Navarra, Pamplona, Spain1
Department of Computer Architecture, University of Málaga, Málaga, Spain1
Faculty of Science, Department of Mathematics, Aswan University, Egypt1
Google Research, Mountain View, CA 94043, USA1
Google Research, New York, 10011, USA1
RheinAhrCampus der Hochschule Koblenz, Remagen, Germany1
Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China1
Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany1
Dept. of Electrical Engineering, Beijing Jiaotong University, China1
Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France1
Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore1
Dept. Electronics & Communication Engineering Karunya University, India1
Dept. Electronics & Communication Engineering, Karunya University, India1
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France1
College of Automation, Shenyang Aerospace University, China1
Intelligent Systems Laboratory, Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea1
University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD1
College of Computer, National University of Defense Technology, Changsha1
School of Electrical and Electronic Engineering, College of Engineering, Nanyang Technological University, Singapore1
Department of Emergency Medicine, Singapore General Hospital, Singapore1
Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey1
Université Sétif Institute dʼnélectronique, Lab. de Génie Electrique, Sétif, 19 000, Algeria1
Computer Science Department, Mohamed El Bachir El Ibrahimi University Bordj Bou Arrerridj, 34000, Algeria1
Ouargla, Fac. Des nouvelles Technologies dʼninformation et de La communication Lab. de Génie Électrique,LAGE, Université, Ouargla, 30 000, ALGERIA1
Department of Civil Engineering, University of Nottingham, Ningbo, 315100, China1
Centre for Advanced Spatial Analysis, University College London, London, UK1
Department of Geographical Science, University of Nottingham, Ningbo, 315100, China1
International Doctoral Innovation Centre, University of Nottingham, Ningbo, 315100, China1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China1
Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
Center for Visual Information Technology (CVIT), IIIT, Hyderabad, India1
Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece1
Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA1
CSIRO and the Australian National University (ANU), Australia1
College of Technological Innovation, Zayed University, UAE1
Institute of Computing, University of Campinas, Brazil1
MIR@CL Laboratory, Faculty of Sciences of Sfax (FSS), University of Sfax, Sfax, Tunisia1
Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
MIR@CL Laboratory, Faculty of Economics and Management of Sfax (FSEGS), University of Sfax, Sfax, Tunisia1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Computer Vision Group, University of Jena, Jena, Germany1
Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany1
Daimler AG, R&D, Germany and University of Jena, Jena, Germany1
PERCEPTION Team, INRIA Grenoble Rhône-Alpes, France1
Institute of Advanced Technology and College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Vision and Systems Laboratory, Laval University, Quebec, Canada1
School of Informatics, University of Edinburgh, 10 Crichton Street EH8 9AB, U.K.1
School of Electronic Engineering, Xidian University, Xi’an, China1
Computer Science Department, Xiamen University, Xiamen, China1
Academic Center for Computing and Media Studies, Kyoto University1
Translational Research Department, Residual Tumor and Response to Treatment Laboratory, RT2Lab, Institut Curie, Paris, France1
Pathology Department, Institut Curie, Paris, France1
University of Science & Technology, Beijing, China1
Digital World Research Centre, University of Surrey, UK1
Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia1
Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China1
Department of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany1
Shin-Guang Elementary School, Yulin 646, Taiwan1
School of Computer and Information Science, Southwest China University, Chongqing, China1
Electrical Electronic Engineering Department, Eastern Mediterranean University, Gazima¿usa, North Cyprus1
University of Stirling, Stirling, UK1
University of Edinbrugh, Edinburgh, UK1
Cisco Systems, Inc., CA, USA1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electronics and Comm. Dept., Kakatiya University, Warangal, India1
Electrical Engineering Department, University of California, Los Angeles1
Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China1
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, People’s Republic of China1
Capital University of Economics and Business, Beijing, China1
Université catholique de Louvain, Belgium1
Université Clermont-Auvergne1
Wisimage1
Member, IEEE, Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: k.messer@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: j.kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: c.chan@surrey.ac.uk1
School of Computing & Mathematics, Charles Sturt University, Albury, NSW 2640, Australia1
Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia1
School of Computing & Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia1
LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco1
LSI, Department of Mathematics, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
IBM Research, Australia, Level 5, Lygon street, Carlton, Australia1
Department of Computer and Information Science, Temple University, Philadelphia, PA1
Department of Computational Science Technology, KTH Royal Institute of Technology, Sweden1
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, 75013, France1
Easwari Engineering College, Anna University, Chennai, India1
Department of Computer Science and Engineering, Anna University, Chennai, India1
School of Science, RMIT University, Melbourne, Australia1
Data61, CSIRO, Canberra, Australia1
Department of Computing and Information Systems, University of Melbourne, Parkville, Australia1
Information, Production and System Research Center, Waseda University, Kitakyushu, Japan1
Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-2080161
Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China1
Key Laboratory of Computer Vision and System, Tianjin University of Technology Ministry of Education, Tianjin, China1
ME Communication Systems M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India1
M.kumarasamy college of Engineering, Thalavapalayam, Karur, India1
Department of Computer Science, Cornell University and Cornell NYC Tech1
Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China1
School of Automation Science and Electrical Engineering, Beihang University, Beihang, China1
School of Information Science and Engineering, Shandong Agricultural University, Taian, China1
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China and Anhui Institute ...1
University of Sao Paulo - ICMC/USP, Brazil1
Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China1
Department of Information Management, Cheng Shiu University China1
Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China1
Department of Experimental Psychology, Ghent University, Ghent, Belgium1
Department of Digital Media Technology, Huanggang Normal University, Huangzhou, China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, China1
School of Communication Engineering, Jilin University, Changchun, China1
Department of Informatics, University of Hamburg, Knowledge Technology, Hamburg - Germany1
Tang Department of Communication Engineering, National Central University Jhongli City, Taoyuan County 32001, Taiwan1
Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan1
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A.1
Center for Comparative Medicine, University of California, Davis, U.S.A.1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh1
Information and Communication engineering, Academy of Broadcasting Science, Beijing, China, No.2 Street Fuxingmenwai, Beijing, China1
Innovation Center, Serbia1
School of Electrical Engineering, University of Belgrade, Serbia, 11120 Belgrade1
CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France1
NLPR, Institute of Automation, Chinese Academy of Science, Beijing, People’s Republic of China1
Costel, Université de Rennes 2, Rennes, France1
IRISA, Université de Bretagne Sud, Vannes, France1
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)1
Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland1
University of Windsor, Canada1
Laboratoire d'InfoRmatique en Image et Systèmes, d'information (LIRIS) Université de Lyon, CNRS, Ecole Centrale Lyon (ECL)1
CEERI Pilani, India1
Arizona State University, Tempe, AZ, 85281, USA1
Australian Centre for Robotic Vision, Australian National University1
College of Engineering & Computer Science, Australian National University1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. ysmoon@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. thyu@cse.cuhk.edu.hk1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle, Pandon Building, Newcastle upon Tyne NE2 1XE, UK1
Laboratory of Intelligent and Communication Systems Engineering (LISIC), Electronics and Computer Science Faculty, USTHB. P.O. box 32, El Alia, Bab Ezzouar, 16111, Algiers, Algeria1
Univ Ouargla, Fac. des nouvelles technologies de l'information et de la communication, Lab. de Génie Électrique, Ouargla 30 000, Algeria1
College of Computer Science and Technology of Huaqiao University, Xiamen, China1
DxO Company, Villetaneuse, France1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
France Telecom - Orange Labs, Lannion, France1
Department of Information Engineering, University of Siena, Siena, Italy1
School of software, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C.1
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, R.O.C.1
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C.1
Department of Software Engineering, King Saud University, Saudi Arabia1
Faculty of Electrical Engineering, Mathematics and Computer Science, Intelligent Systems Department, Delft University of Technology, 2628 CD, The Netherlands1
Department of Electronics Engineering, State University of Makassar, Indonesia1
Seven Department, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China1
Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 26400, China1
Armament Branch of NED, Beijing 100073, China1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. chengjun.liu@njit.edu1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. zl9@njit.edu1
School of Mathematics and Computational Science, Sun Yat-sen University, China1
Department of Mathematics and Informatics, J. Selye University, Komárno, Slovakia1
Institute of Informatics, University of Szeged, Szeged, Hungary1
Computer Science Department, Stanford University, USA1
Electrical and Computer Engineering, UNIST, Korea1
Princeton University, USA, Universidad del Norte, Colombia1
Department of Electrical Engineering, Sajaad University, Mashhad, Iran1
Hefei University of Technology, Hefei, Anhui, 230009, China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
Control Syst. Centre, UMIST, Manchester, UK1
Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan1
Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan1
Altek Corporation, Hsinchu, Taiwan1
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan1
Graduate School of Engineering Science and Technology-Doctoral Program, and the Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan1
Yahoo Labs, New York, USA1
Yahoo Labs, Barcelona, Spain1
College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA1
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Medical Biometrics Perception and Analysis, Engineering Laboratory, Shenzhen, China. Shenzhen, China1
Sharp Laboratories of America, 5750 NW Pacific Rim Blvd., Camas, WA 98607, USA1
Tikkurila Oyj, Vantaa, Finland1
Department of Engineering Science, Visual Geometry Group, University of Oxford, Oxford, United Kingdom1
EECS Department, University of California Berkeley, Berkeley, CA1
Institute for Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, UK1
Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary1
Institute for Sustainable Futures, University of Technology, Sydney, Australia1
Quantitative Imaging, CSIRO Data61, Australia1
School of Computer Science, University of Manchester, Manchester, UK1
College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China1
Yancheng Institute of Technology, Yancheng, China1
Huaiyin Normal University, Huai’an, China1
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, 201804, China1
CNR ISM-Institute of the Structure of Matter, Roma, Italy1
Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
Graduate University of Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
College of Computing & InformaticsDrexel University Philadelphia1
Dept. of Electrical and Electronic Eng., Eastern Mediterranean University, Gazimagusa, KKTC, Turkey1
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1
School of Electrical, Computer, and Telecommunications Engineering, University of Wollongong, Wollongong, Australia1
School of Computing and Mathematics, Charles Sturt University, Albury, Australia1
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O. Box 823, SE-301 18, Halmstad, Sweden1
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China1
IBISC laboratory, Evry, France1
Department of Computer Science, University of North Carolina Wilmington, Wilmington, United States1
Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC1
Elektrik ve Elektronik Mühendisliği Bölümü, Lefke Avrupa Üniversitesi, KKTC1
University of Illinois Urbana-Champaign, USA1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India1
Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco1
Microsoft Photogrammetry Graz, Austria1
Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France1
Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain1
University of Kentucky, Lexington, KY1
Guangdong University of Technology, Guangdong, China1
University of Electronic Science and Technology of China, Sichuan, China1
Qingdao University, Shandong, China1
Engineering & Research Center of E-learning, Changchun, China1
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Danang University of Technology, Vietnam1
Dept. Clinical Psychology University, College London London, United Kingdom1
National Taiwan University, Taiwan, China1
SLAC National Laboratory, Stanford University, Stanford, USA1
IWE II, RWTH Aachen University, Aachen, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore1
Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China1
The University of Michigan, Ann Arbor, MI, USA1
School of Computer, Electronics and Information, Guangxi University1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. malasiot@iti.gr1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. filareti@iti.gr1
Human-Centred Technology Research Centre, University of Canberra, Bruce, Australia1
Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, India1
Faculty of Computers and Information Sciences, Mansoura University, Egypt1
Tianjin University, Tianjin & Institute of Information Engineering, Beijing, China1
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda1
University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland1
University of Bologna, Bologna, Italy1
Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China1
College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China1
Technion, Haifa1
Technion - Israel Institute of Technology, Haifa1
State Key Laboratory of Smart Grid Protection and Control, Nanjing, China1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China1
Faculty of Information Science & Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka Malaysia1
Poongsan Defense R&D Institute1
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, P.R. China1
School of Information Science & Technology, Southwest Jiaotong University, Chengdu, P.R. China1
Gdansk University of Technology, Gdansk, Poland1
Shenzhen Academy of Robotics, Shenzhen, China1
College of Liberal Studies, Seoul National University, Korea1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China1
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Department of Computer Science, Dr P G Halakatti Post Graduate Centre, “Vachana Sangama”, Rani Channamma University, Vijayapur, India1
Columbia University, New York1
Universitat Oberta de Catalunya, Barcelona1
Universitat de Barcelona, Barcelona1
Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand1
Mechanical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011031
National Inst. of Stand. & Technol., Gaithersburg, MD, USA1
Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand1
Fraunhofer Institute for Telecommunications, Berlin, Germany1
Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany1
Siemens AG, Corporate Technology, Munich, Germany1
Faculté Polytechnique de Mons - TCTS 31, Mons, Belgium1
IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland1
Nat. Taipei Univ., Taiwan1
MPI Tübingen, Germany1
Leibniz Universität Hannover, Germany1
College of Cyber Security, Jinan University, Guangzhou, China1
CPSLAB, ASRI, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea1
University of Burgundy, Le2i Laboratory, Le Creusot, France1
Department of Computer Science, Air Force Engineering University, Xi’an, China1
Changshu Institute of Technology, Changshu, China1
Department of Electronics, Kyungil University, Daegu, Korea1
Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia1
Department of Control and Information Systems Engineering, National Institute of Technology, Kurume Collage, Fukuoka, Japan1
Advanced Engineering School Mechanical and Electrical, Systems Engineering Advanced Course, National Institute of Technology, Kurume Collage, Fukuoka, Japan1
Department of Electrical and Computer Engineering, College of Computer and Information Science, Northeastern University, Boston, MA, USA1
SK Telecom, Seoul, Republic of Korea1
KAIST, Daejeon, Republic of Korea1
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India1
Carnegie Mellon University, tk@cs.cmu.edu1
Siemens Corporate Research, yakup.genc@siemens.com1
Siemens Corporate Research, yanghai.tsin@siemens.com1
Carnegie Mellon University, yanli@cs.cmu.edu1
Robotics and Embedded Systems, Technische Universität München, Garching, Germany1
Tokyo Institute of Technology, Japan1
Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 487101
School of Computer, Wuhan University, China1
School of Physics, Nanjing University, China1
Electrical and Electronic Engineering, Imperial College London, UK1
Information Science and Electrical Engineering, Kyushu University, Japan1
Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan1
Kent State University, Kent, USA1
Texas A&M University, College Station, USA1
The DiVE, Durham, USA1
Side Effects Software, Santa Monica, USA1
IBM T.J. Watson Research Center, Yorktown Heights, USA1
University of Houston, Houston, USA1
University of Nevada, Reno, USA1
ICT Center, CSIRO, Brisbane, Australia1
ICT Center, CSIRO, Sydney, Australia1
Georgia Institute of Technology, USA1
Chinese Academy of Sciences, Beijing, 100080, China1
Control Eng. & the Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Taipei, Taiwan1
Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA1
Center for OPTical Imagery Analysis and Learning, Northwestern Polytechnical University, Shaanxi, China1
TCTS Lab, Faculté Polytechnique de Mons, Belgium1
Speech Technology Group, Technical University of Madrid, Spain1
TALP Research Center, Universitat Politècnica de Catalunya, Spain1
Electrical and Electronics Engineering Dept., Bogazici University, Turkey1
AIIA Lab, Aristotle University of Thessaloniki, Greece1
TELE Lab, Université catholique de Louvain, Belgium1
Department of Statistics, Psychology and Computer Science, University of California at Los Angeles, Los Angeles, USA1
Alibaba Group R&D, Hangzhou, P.R. China1
Department of Statistics, University of California at Los Angeles, Los Angeles, USA1
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg1
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal1
Department of Electrical and Computer Engineering, Instituto de Telecomunicações, University of Coimbra, Coimbra, Portugal1
Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France1
Securics, Inc. Colorado Springs, CO, USA1
Institute of Computing, University of Campinas (Unicamp) Campinas, SP, Brazil1
TRI-UHN, Toronto, ON M5S2E4 Canada1
TWH-UHN, Toronto, ON, M5S1A8 Canada1
The Ottawa Hospital Research Institute, Department of Medicine, University of Ottawa, ON, K1H8M5 Canada1
TRI-UHN, Toronto, ON, M5G2A2 Canada1
Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States1
Onfido, London, United Kingdom1
Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA1
Microsoft Research Asia, Beijing, P. R. China1
Department of Electrical and Computer Engineering, College of Engineering, and College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Singapore Management University, Singapore1
School of Electronics and Information Engineering, Xi’an Jiaotong University, China1
Department of Electrical and Computer Engineering, College of Engineering, Northeastern University, Boston, MA, USA1
Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
KU Leuven, Leuven, Belgium1
University of Washington, Tacoma & Ghent University, Tacoma, WA, USA1
University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA1
University of Texas at Dallas, Dallas, TX, USA1
Department of Software Engineering, King Saud University, Riyadh, Saudi Arabia1
Kamala Nehru Institute of Technology, Sultanpur, India1
Designer at the National Institute of Design, Ahmedabad, India1
Faculty of Engineering & Technology, Chattisgarh, India1
Rajarshi School of Management and Technology, Varanasi, India1
Kodak Research Laboratories, Eastman Kodak Company, Rochester1
Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran1
Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran1
Electrical and Computer Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computing Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand1
Sandia National Labs Albuquerque, NM1
Grupo de Investigación GDSPROC Universidad del Quinío1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
State Grid Zhangjiakou Power Supply Company, Zhang Jiakou, 075000, China1
School of Big Data and Software Engineering, Chongqing University, Chongqing, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
College of Medical Informatics, Chongqing Medical University, Chongqing, China1
Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France1
Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt1
OmniVision Technologies Singapore Pte. Ltd., Singapore1
Platinum Solutions, Inc, Reston, Virginia United States1
Naval Criminal Investigative Services, NCIS, Washington, DC United States1
Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan1
Department of Computer Science and Technology, Xiamen University of Technology, Xiamen, China1
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China. anthonyming@gmail.com1
Kiel University, Kiel, Germany1
University of Koblenz, Koblenz, Germany1
Federal University of Ceará, Fortaleza, Brazil1
Federal Institute of Education, Science and Technology of Paraiba, Esperança, Brazil1
Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil1
Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil1
School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Korea1
Mathematics and Computing Engineering, Delhi Technological University, Delhi, India1
Computer Science and Engineering, Delhi Technological University, Delhi, India1
Department of Electronics and Communication Engineering, Indraprastha Institute of Information Technology, Delhi, India1
Department of Information, The Third Affiliated Hospital, Sun Yat-sen University, China1
Baidu Big Data Research Laboratory, Sunnyvale, CA, USA1
IIT-M1
Omsk State Technical University (OmSTU), Omsk, Russia1
Google and Hewlett-Packard Labs1
LinkedIn and Hewlett-Packard Labs1
Amirkabir University of Technology, Electrical Engineering Department, Tehran, Iran1
School of Computing and Communication, University of Technology Sydney, Sydney, Australia1
School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China1
School of Electronic and Information Engineering, Beihang University, Beijing, People’s Republic of China1
Department of Computer Science and Technology, Wuhan Technology and Business University, 430065, China1
Department of Psychology and IIASS, Second University of Naples, Caserta, Italy1
AIIS Inc, Columbus, USA1
Wright State University, Dayton, USA1
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia1
Disney Research, 4615 Forbes Ave, Pittsburgh, PA 15213, USA1
Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tirunelveli, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Environment Perception, Daimler AG, Ulm, Germany1
AMLab, University of Amsterdam, Amsterdam, The Netherlands1
Boeing Company, Huntington Beach, CA1
California State University, Fullerton and Binghamton University, Binghamton, NY1
Harbin Engineering University, Harbin, China1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch1
University of Tokyo, Japan1
School of Optical Engineering, Beijing Institute of Technology University, Beijing, China1
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, P.R. China1
Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China1
Tractebel Energia, Saudades do Iguaçu, PR, Brazil, 85568-0001
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei 230027; Department of Electronic Science & Technology, University of Science and Technology of China, Hefei 230027. E-mail: zlsustc@gmail.com1
Noblis, Annandale, VA, USA1
Tractebel Energia S. A., Saudade do Iguaçu, PR, Brazil1
Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, China1
Northwestern Polytechnical University, Xi'an University of Science and Technology, Shaanxi, China1
NODET, Iran1
Department of Biomedical Engineering, Hakim Sabzevari University, Iran1
Department of Electrical Engineering, Hakim Sabzevari University, Iran1
Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.1
Division of Information System, The University of Aizu, Aizuwakamatsu, Japan1
Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan1
Information and Technology Department, Nanjing Forest University, Nanjing, China1
Computer Science and Technology Department, Nanjing University, Nanjing, China1
Computational Brain Science Lab, Department of Computational Science and Technology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden1
3-8-1 Nishi-kanda, Morpho, Inc., Chiyoda-ku, Tokyo, 101-0065, Japan1
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil1
Department of Electrical Engineering, Florida State University, Tallahassee, USA1
Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France1
Department of Statistics, Florida State University, Tallahassee, USA1
Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
Guangxi Experiment Center of Information Science, Guilin, China1
Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China1
Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan1
SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France1
Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany1
KIT, EPFL1
Jaypee University of Engineering and Technology, Guna, India1
Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy1
Department of Electrical and Electronic Engineering, University of Surrey, Guildford, U.K.1
University of Athens,, Athens, Greece1
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece1
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, USA1
Department of Electrical and Computer Engineering, Clemson University, USA1
Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China1
College of computer & communication engineering, Qingdao, China1
Thales UK, Glasgow1
University of Nebraska State Museum, Lincoln, NE, USA1
TERC, Cambridge, MA, USA1
University of Nebraska, Lincoln, Lincoln, NE, USA1
Northwestern University, Chicago, IL, USA1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
Monash University, Caulfield East, Australia1
School of Math and Geospatial Sciences, Royal Melbourne Institute of Technology University , Melbourne, Australia1
School of IT, Deakin University, Geelong, Australia1
Department of radiology, Stanford University, CA, USA1
Intelligent Fiber Optic Systems Corporation, Santa Clara, CA, USA1
LSIIT, Strasbourg University - CNRS - INSA, Strasbourg, France1
Japan Automobile Research Institute, Minato-ku, Tokyo 105-0012, Japan1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA1
Department of Computer Science, Stanford University, Stanford, USA1
School of Mathematics, Beihang University, Beijing, China1
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada. shand@ece.ubc.ca1
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
Queensland University of Technology (QUT)1
Technicolor, Cesson-Sévigné, France1
Universidad de Zaragoza, I3A, Zaragoza, Spain1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India1
School of Software, Xi’an Jiaotong University, Xi’an, China1
Department of Computer Science and Information Systems, London, U.K.1
National Laboratory of Pattern Recognition, Institute of Automation, Bejing, China1
Department of Automation, Beijing, China1
Institute of Intelligent System and Decision, Zhejiang, China1
Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
CEERI, Pilani, India1
MNIT, Jaipur, India1
Northumbria University, Newcastle, U.K.1
Faculty of Electronic Engineering, Department of Physics and Electronic Engineering, Taishan University, Tai’an, China1
Faculty of Electronic and Communication, Department of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
IBM T. J. Watson Research Center, New York, USA1
Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
School of Science and Technology, Tokai University, Tokai, Japan1
European University Cyprus, Nicosia, Cyprus1
IMIS, R.C. Athena, Athens, Greece1
CNRS, Université de Lyon, Lyon, France1
Teklia SAS, Paris, France1
LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France1
A2iA SA, Paris, France1
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China1
School of Mathematics, Central China Normal University, Wuhan, China1
UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, J12/318 Cleveland St, Darlington, NSW, Australia1
Department of Computer Science, University of Mysore, Mysore, India1
National Science Library, Chinese Academy of Sciences, Beijing, China1
Departament de Ciències de la Coputació, Computer Vision Center, Universitat Autònoma de Barcelona, Catalonia, Spain1
Department of ECE, PEC University of Technology, Chandigarh, India1
Biomedical Instrumentation (V-02), CSIR-Central Scientific Instruments Organisation (CSIO)|, Chandigarh, India1
Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India1
Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea1
Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca NY, 14853, USA1
Jewelry Institute, Guangzhou Panyu Polytechnic, Guangzhou 510006, China1
Senior Member, IEEE1
Department of Computer Science, Minjiang University, Fuzhou, People’s Republic of China1
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, People’s Republic of China1
Center for Biological and Computational Learning, M.I.T., Cambridge, USA1
FZI Research Center for Information Technology, Mobile Perception Systems, 76131 Karlsruhe, Germany1
Department of Computer Engineering, Rochester Institute of Technology, NY, 14623, USA1
Center for Imaging Science, Rochester Institute of Technology, NY, 14623, USA1
Istanbul Technical University, Computer Engineering Department, 34469, Turkey1
Universidade de Vigo, Spain1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. claus.neubauer@siemens.com1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. chao.yuan@siemens.com1
Department of Computer Science and Engineering, Sogang University, Seoul, Republic of Korea1
Lenovo, Beijing, China1
JD AI Research, Beijing, China1
National Engineering Lab for Video Technology, Peking University, Beijing, China1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning, Chinese Academy of Sciences, Xi’an, China1
Research Institute 704, Academy of Aerospace Electronics Technology, Beijing, China1
School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India1
School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India1
Aalto University, espoo, Finland1
Universitat Autonoma de Barcelona, barcelona, Spain1
Linkoping University, Linkoping, Sweden1
Aalto University, Espoo, Finland1
Visual Geometry Group, Department of Engineering Science, University of Oxford1
School of Computer Science and Technology, Nanjing University of Science and Technology of China, Nanjing, People’s Republic of China1
University of Maryland, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, College Park, Shanghai, MD, USAChina1
Mirada Medical Ltd., Oxford, UK1
Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK1
Center for Advanced Studies in Identity Sciences, Clemson University, Clemson, SC, USA1
Center for Advanced Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA1
Department of Electronics and Telecommunications Engineering, Danang University of Science and Technology1
University of Rochester, New York, USA1
Microsoft Research, Beijing, People’s Republic of China1
University of Michigan, Ann Arbor1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain1
Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain1
Universidad de Valladolid, Valladolid, Spain1
Universidad Politecnica de Cataluña, Terrassa, Spain1
Escuela Universitaria Politecnica de Mataro, Mataro, Spain1
EPS, Universidad Autonoma de Madrid, Madrid, Spain1
University of Pittsburgh, Pittsburgh and Carnegie Mellon University, Pittsburgh1
Center for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada1
University of Dundee, Dundee, United Kingdom1
Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Department of Developmental Psychology, Radboud University, Nijmegen, The Netherlands1
Pluryn, Hoenderloo, The Netherlands1
Stichting Otto Gerhard Heldring, Zetten, The Netherlands1
Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands1
Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands1
Centre for Cognition, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands1
Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
School of Tai-an, Shandong University of Science and Technology, Tai-an, China1
Nara Inst. of Science and Technology, Nara, Japan1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi’an, China1
Department of Computer Scicence and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. E-mail: csqjzhao@polyu.edu.hk1
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA1
Baidu Research-Institute for Deep Learning, Baidu Inc., Beijing, China1
Xi'an Jiaotong University1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
Department of CSE, PSIT COE, Kanpur (India)1
Agency for Science Technology and Research, Institute for Infocomm Research, Singapore1
Treelogic, Technological Scientific Park of Asturias, Llanera, Spain1
Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain1
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain1
The School of Electrical Engineering and Automation, Harbin Institute of Technology, P.R. China1
The School of Computer Science and Software Engineering, Shenzhen University1
The Faculty of Science & Technology, Bournemouth University, UK1
Integrated Management Coastal Research Institute, Universitat Politècnica de València, València, Spain1
Department of Computer Science, Madrid Open University, Madrid, Spain1
Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain1
Sunway University, 46150 Petaling Jaya, Malaysia1
Robotics, Perception and Real-Time Group, University of Zaragoza, Spain1
Electronics Engineering and Computer Science Department, Fukuoka University, Japan1
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395 Japan1
The University of York, UK1
The University of Tokushima, Japan1
Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan1
Department of Electrical Engineering, National University of Kaohsiung, Taiwan1
Toyota Technological Institute, Chicago (TTIC)1
Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China1
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
School of Software Engineering, Jinling Institute of Technology, Nanjing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100196, China1
Università degli Studi di Cagliari, Italy1
Graduate Institute of Networking and Multimedia, National Taiwan University1
VLSI Design and Education Center (VDEC), The University of Tokyo1
Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA1
Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA1
Shanghai University, China1
Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China1
Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands1
Department of Computer Science, Middlesex University, London, UK1
KK Women’s and Children’s Hospital, Singapore1
Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA1
Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
School of Computer Science and Engineering, Shandong Normal University, Jinan, China1
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China1
Department of Computer Science and Engineering, Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, OH, USA1
Department of Computer Science, Inner Mongolia University, Hohhot, China1
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, P.R. China1
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096, P.R. China1
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Pakistan1
Department of Electrical and Electronics Engineering, University of Sheffield, UK1
Institute of Computing Technology, Chinese Academy of Science, Beijing, China1
Institute of Computing Technology, CAS & University of Chinese Academy of Sciences1
National Taichung University of science and Technology, Taichung1
Institute of Optics and Electronics, Chinese Academy of Science1
Institute of Optics and Electronics, Chinese Academy of Science, University of Chinese Academy of Sciences1
Institute of Optics and Electronics, Chinese Academy of Science, University of Electronic Science and Technology of China, University of Chinese Academy of Sciences1
* MIT CSAIL1
IRSEEM1
Graph@FIT, Brno University of Technology, Brno, Czech Republic1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China1
Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China1
Université Paris-Est, LISSI, UPEC, 94400 Vitry sur Seine, France1
National Institute of Standards and Technology, Gaithersburg, MD 45435, USA1
Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA1
Hubei University, Wuhan, China1
Kumamoto University, Kumamoto, Japan1
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, CASIA, Beijing, China1
Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China1
Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA1
Laboratory of Precision Opto-Mechatronics Technology, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China1
Morpho, Safran Group and Télécom ParisTech, CNRS LTCI and Université Pierre et Marie Curie, LIP61
Morpho, Safran Group and Ecole pour l'Informatique et les Techniques Avancées (EPITA)1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology , Brisbane, Australia1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia1
Commonwealth Scientific and Industrial Research Organization, Pullenvale, Australia1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA , USA1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA1
Key Laboratory of Intelligent Processing, Institute of Computing Technology, CAS, Chinese Academy of Sciences (CAS), Beijing, People’s Republic of China1
Visiting Faculty, CVIT, IIIT Hyderabad, India1
School of EECS, Queen Mary University of London, London, UK1
Department of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China1
Institute of Communication and Computer Systems, Athens, Greece1
Technical University of Crete, Chania Crete1
Disney Research, Zürich, Switzerland1
Google, Seattle, WA, USA1
Facebook, New York, NY, USA1
Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
University of Wollongong, Wollongong, Australia1
The University of Hong Kong, Pokfulam, Hong Kong1
University of Nottingham Ningbo China, Ningbo, China1
CSE, SUNY at Buffalo, USA and Southeast University, China1
Vehicle Engineering Development Div., Toyota Motor Corporation, Japan1
Collaborative Safety Research Center, Toyota Motor Engineering & Manufacturing North America Inc., USA1
Knowledge Enterprise Development, Arizona State University, Tempe, 85287-5406 United States1
Computer Science, Florida State University, Tallahassee, United States1
Computing Informatics and Decision Systems Engineering, Arizona State University, Tempe, United States1
Eedoo Inc, Beijing, China1
Oak Ridge National Laboratory, Tennessee, USA1
Departamento de Estatística, Signal Processing Group, Universidade Federal de Pernambuco, Recife, Brazil1
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France1
School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
Department of Telecommunication, AGH University of Science and Technology, Kraków, Poland1
Department of EEE, Xi’an Jiaotong-Liverpool University, Jiangsu, China1
The College of Information Engineering, Xiangtan University, Hunan, China1
Res. Center for Learning Sci., Southeast Univ., Jiangsu, China1
Department of Cognitive Systems, University of Tübingen, Germany, 720761
The State Key Laboratory of High Performance Computing (HPCL), National University of Defense Technology, Changsha, China, 4100731
Department of Electrical Engineering, PEC University of Technology, Chandigarh-160012, India1
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
Laboratoire LITIS EA 4108, Normandie Université, INSA de Rouen, France1
School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea1
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, AUSTRALIA. email: fhct243@uow.edu.au1
Faculty of Information Technology, VUT — Brno University of Technology, Brno, Czech Republic1
IBM T. J. Watson Research Center1
Department of Control Engineering, Istanbul Technical University, Turkey1
School of Computer Science and Technology, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). enrique.cabello@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). angel.serrano@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). cristina.conde@urjc.es1
MPI Informatics, Saarbrücken, Germany1
Department of Mechanical Engineering, Middle East Technical University1
Department of Electrical and Computer Engineering, University of Toronto Toronto, Canada1
School of Information Science and Engineering, Yunnan University, Kunming, P. R. China1
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium1
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany1
Department of Clinical Psychology und Psychotherapy, University of Tübingen, Tübingen, Germany1
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, Modena, Italy1
Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Facebook, Menlo Park, USA1
FXPal, Palo Alto, CA, USA1
Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia1
School of Computer Science and Techonolgy, Beiing Institute of Technology Beijing, China1
Artificial Intelligence Laboratory, University of Zurich, Switzerland1
ECE, University of Illinois at Urbana-Champaign, USA1
ECE, National University, of Singapore, Singapore1
AI Lab, TAL Education Group, College of Electronics and Information Engineering, Sichuan University, Chengdu, China1
Institute of High Performance Computing, A*STAR, Singapore1
3OmniVision Technologies Singapore Pte. Ltd., Singapore1
Department of ECE, National University of Singapore, Singapore1
Department of Computer Science and Technology, Yangzhou University, Yangzhou, People’s Republic of China1
School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, People’s Republic of China1
Dept. for Sensor Data and Information Fusion, Fraunhofer FKIE, Germany1
School of Computing and Information, Hefei University of Technology, Hefei, China1
EURECOM, Sophia-Antipolis, France1
EECS, University of Central Florida, Orlando, USA1
Dept. of Information Engineering, University of Trento, Povo, Italy1
Department of Computer Science and Technology, Jiangnan University, Wuxi, China1
Department of Electrical/Electronics Engineering, Atilim University, Ankara, Turkey1
Department of Electrical/Electronics Engineering, Middle East Technical University, Ankara, Turkey1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology of Sydney, Ultimo, Australia1
Department of Electronic Science and Engineering, National University of Defense Technology, Changsha, China1
Department of Mathematics and Systems Science, National University of Defense Technology, Changsha, China1
Low Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang, China1
Institute for Infocomm Research, A*STAR, Singapore, Université Pierre et Marie Curie, Paris, France and Image & Pervasive Access Lab, UMI CNRS 2955, Singapore1
Shanghai Jiao Tong University, Shanghai, China and National University of Singapore, Singapore1
Hanoi University of Science and Technology, Hanoi, Vietnam and National University of Singapore, Singapore1
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia1
University, Kowloon, Hong Kong1
Seelicon Research, Princeton, NJ1
Columbia University, NEW YORK, NY, USA1
Bell Labs, Cambridge, UK1
Kings College, London, UK1
Istituto Nazioinale di Ottica - CNR, Italy1
Istituto Nazionale di Ottica - CNR, Italy1
Department Obstetrics and Gynecology, University at Buffalo, SUNY Buffalo NY 14260 USA1
Department of Computer Science Engineering, University at Buffalo, SUNY, Buffalo NY 14260 USA1
Robotic Surgery, Kaleida Health Western New York, Buffalo NY 14214 USA1
University of North Carolina at Wilmington, CIS Building, Wilmington NC1
Clemson University, Clemson, S.C.1
INRIA, GRAVIR-CNRS, Montbonnot, France1
University of Leuven, Leuven, Belgium1
University of Oxford, Oxford, United Kingdom1
Department of Computer Science, Chungnam National University, Daejeon, Korea1
US Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA1
University of Tehran, Tehran, Iran and University of Ottawa, Ottawa, Canada1
Department of Mathematics and Statistics, Portland State University, Portland, OR, USA1
School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA1
Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, USA1
Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing 1001901
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 1001901
Toyota Research Institute - North America1
CCIS, Northeastern University, Boston, USA1
College of science, Huazhong Agricultural University, Wuhan, China1
Sensing and Control Technology Laboratory, Omron Corporation, Japan1
Centre for Pattern Recognition and Machine Intelligence (CENPARMI), Concordia University, Montreal, Quebec H3G 1M8, Canada1
CNRS, LIP6 UPMC Sorbonne Universités, Paris, France1
LTCI Télécom ParisTech, Université Paris-Saclay, Paris1
Indiana University-Purdue University Indianapolis, Indianapolis, USA1
Department of Computer Science & Engineering, Jamia Hamdard University, New Delhi, India1
Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China1
+Institutions from IEEE

Institutions from IEEE

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore103
National University of Singapore, Singapore, Singapore95
Department of Electrical and Computer Engineering, National University of Singapore, Singapore78
Tsinghua University, Beijing, China66
School of Computer Engineering, Nanyang Technological University, Singapore63
Institute of Automation, Chinese Academy of Sciences, Beijing, China61
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China58
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece58
University of Electronic Science and Technology of China, Chengdu, China55
Peking University, Beijing, China50
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China48
Beijing University of Posts and Telecommunications, Beijing, China47
University of Science and Technology of China, Hefei, China47
Department of Automation, Tsinghua University, Beijing, China46
Shanghai Jiao Tong University, Shanghai, China44
University of Chinese Academy of Sciences, Beijing, China44
University of Maryland, College Park, MD, USA44
Microsoft Research Asia, Beijing, China43
Nanyang Technological University, Singapore42
Nanyang Technological University, Singapore, Singapore41
IIIT-Delhi, India40
Institute of Information Science, Beijing Jiaotong University, 100044, China39
Carnegie Mellon University, Pittsburgh, PA, USA39
Zhejiang University, Hangzhou, China39
Department of Electronic Engineering, Tsinghua University, Beijing, China38
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China37
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China36
National University of Singapore, Singapore36
Fudan University, Shanghai, China36
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China35
Chinese Academy of Sciences, Beijing, China35
College of Computer Science and Technology, Zhejiang University, Hangzhou, China35
Tianjin University, Tianjin, China34
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China34
Beihang University, Beijing, China33
Advanced Digital Sciences Center, Singapore32
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China31
IIIT Delhi, India30
National Taiwan University, Taipei, Taiwan Roc30
National Institute of Informatics, Tokyo, Japan30
Harbin Institute of Technology, Harbin, China29
Hefei University of Technology, Hefei, China29
School of Computing, National University of Singapore, Singapore28
School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China28
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China28
Department of Information Engineering and Computer Science, University of Trento, Trento, Italy28
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China27
Institute of Information Science, Beijing Jiaotong University, Beijing, China26
College of Computer Science, Zhejiang University, Hangzhou, China26
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China26
Microsoft Research, Beijing, China25
Institute of Microelectronics, Tsinghua University, Beijing, China24
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore24
Idiap Research Institute, Martigny, Switzerland24
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China24
Institute for Infocomm Research, Singapore23
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China23
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA23
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, China23
School of Automation, Southeast University, Nanjing 210096, China22
Northeastern University, Boston, MA, USA22
The University of Tokyo, Tokyo, Japan22
School of Control Science and Engineering, Shandong University, Jinan, China22
Wuhan University, Wuhan, China22
The University of Queensland, Brisbane, Australia22
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences22
School of Computer Science and Technology, Tianjin University, Tianjin, China22
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China22
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China21
Department of Computing, The Hong Kong Polytechnic University, Hong Kong21
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China21
Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China21
Department of Computing, Imperial College London, London, U.K.21
University of Southern California, Los Angeles, CA21
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan21
University of Texas at Arlington, Arlington, TX, USA21
Beijing University of Posts and Telecommunications, Beijing, 100876, China20
School of Computer and Information, Hefei University of Technology, Hefei, China20
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China20
South China University of Technology, Guangzhou, China20
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China20
Beijing Jiaotong University, Beijing, China20
Sun Yat-sen University, Guangzhou, China20
Universität Hamburg, Hamburg, Germany19
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China19
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China19
Computer Science Department, Technical University of Cluj-Napoca, Romania19
Department of Computer and Information Science, University of Macau, Macau, China19
School of Computer Science and Engineering, Nanyang Technological University, Singapore19
University of Trento, Trento, Italy19
School of Automation, Southeast University, Nanjing, China19
Department of Automation, Shanghai Jiao Tong University, Shanghai, China19
Department of Computer Science, City University of Hong Kong, Hong Kong18
Osaka University, Japan18
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran18
University of Maryland, College Park18
Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan18
Faculty of Science and Technology, University of Macau, Macau, China18
School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China18
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea18
University of Trento, Italy18
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China18
Carnegie Mellon University, USA18
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China18
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea18
College of Command Information Systems, PLA University of Science and Technology, Nanjing, China17
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China17
School of Computer Science and Engineering, Nanjing University of Science and Technology, China17
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA17
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China17
University of Southern California, Los Angeles, CA, USA17
School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China17
School of Computer Science and Technology, Harbin Institute of Technology, China17
Ulm University, Ulm, Germany17
Singapore Management University, Singapore, Singapore17
The University of Tokyo17
School of Software, Tsinghua University, Beijing, China16
Nanjing University, Nanjing, China16
National Taiwan University16
Institute of Automation, Chinese Academy of Sciences, China16
School of Information and Electronics, Beijing Institute of Technology, Beijing, China16
School of Electronic and Information Engineering, Beihang University, Beijing, China16
School of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, South Korea16
College of Computer Science, Sichuan University, Chengdu, China16
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China16
Southeast University, Nanjing, China16
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL USA16
Carnegie Mellon University16
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China15
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, 430072, China15
IIIT Delhi15
University of Minnesota, Minneapolis, MN, USA15
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China15
University of Texas at San Antonio, San Antonio, TX, USA15
University of Science and Technology of China15
Xi'an Jiaotong University, Xi'an, China15
National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China15
Academia Sinica, Taipei, Taiwan Roc15
Institute of Computer Science and Technology, Peking University, Beijing, China15
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China15
School of Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, Korea15
Department of Automation, University of Science and Technology of China, Hefei, China15
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China15
University of Science and Technology of China, Hefei, Anhui, China15
Georgia Institute of Technology15
Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore15
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China15
Microsoft Research, Redmond, WA, USA15
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
University of California, Irvine15
International Computer Science Institute, Berkeley, CA, USA15
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA15
Federal University of Technology - Parana, Curitiba, PR 80.230-901 Brazil14
Department of Automation, University of Science and Technology of China14
School of Computing and Information Sciences, Florida International University, Miami, FL14
State Key Laboratory of Software Engineering, Wuhan University, China14
Stanford University14
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, China14
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA14
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China14
Center for Research on Intelligent Perception and Computing, CASIA14
College of Computer Science, Chongqing University, Chongqing, China14
Department of Computer Science, New Jersey Institute of Technology14
Beijing University of Posts and Telecommunications, China14
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China14
School of Electronic Information Engineering, Tianjin University, Tianjin, China14
Graduate School of Engineering, Tottori University, Japan14
Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland14
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong14
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China14
Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates14
Division of System Integration and IC Design, Institute of Nano-tech and Nano-bionics, CAS, Suzhou, China14
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China14
CRIPAC & NLPR, CASIA14
University of Tokyo, Tokyo, Japan14
Department of Computer Science, Hong Kong Baptist University, Hong Kong14
Beijing Normal University, China13
TÜBİTAK Uzay Teknolojileri Araştirma Enstitüsü, Turkey13
Peking University, Shenzhen, China13
College of Computer, National University of Defense Technology, Changsha, China13
Academia Sinica, Taipei, Taiwan13
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong13
DIA, University of Trieste, Italy13
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX, USA13
Northwestern Polytechnical University, Shaanxi, China13
University of Oslo13
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China13
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China13
Hasso Plattner Institute, Potsdam, Germany13
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China13
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA13
Dipartimento di Informatica, University of Verona, Italy13
Beijing University of Posts and Telecommunications13
Delft University of Technology, Delft, Netherlands13
Tongji University, Shanghai, China13
Dalian University of Technology13
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China13
School of Computer Science and Engineering, Nanjing University of Science and Technology13
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China13
Center for Machine Vision and Signal Analysis, University of Oulu, Finland13
Department of Telecommunication Engineering, Beijing Information Science and Technology University, China13
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China12
Lincoln Centre for Autonomous Systems (L-CAS), School of Computer Science, University of Lincoln, United Kingdom12
Computer Science & Technology, Zhejiang Normal University, China12
Queensland University of Technology, Australia12
Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong12
West Virginia University12
The University of Tokyo, Japan12
School of Software Engineering, South China University of Technology, Guangzhou, China12
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece12
Microsoft Research Asia12
Centre for Vision, Speech and Signal Processing, University of Surrey, UK12
School of Computing, University of Portsmouth, UK12
Department of Computer Science and Information Engineering, National Central University, Taiwan12
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China12
Dept. of Computer Science, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA12
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China12
CAS Center for Excellence in Brain Science and Intelligence Technology; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China12
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye12
Arizona State University, Tempe, AZ, USA12
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France12
National Engineering Research Center for Multimedia Software, Wuhan University, China12
Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA12
Department of Computer Science and Technology, Tsinghua University, Beijing, China12
University of Illinois at Urbana-Champaign12
Huazhong University of Science and Technology, Wuhan, China12
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China12
Department of Computer Science, Università degli Studi di Milano, Italy12
School of Computer Science, Fudan University, Shanghai, China12
Imperial College London, UK12
School of Automation, Northwestern Polytechnical University, Xi’an, China12
Department of Information Engineering, University of Florence, Florence, Italy12
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China12
Beijing University of Posts and Telecommunications, Beijing 100876, China12
University of California, San Diego12
School of Electronic and Information Engineering, South China University of Technology11
Singapore-MIT Alliance for Research and Technology, Singapore11
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, 430072, China11
National Taiwan University, Taipei, Taiwan11
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, Korea11
Computer Science and Engineering Department, University of South Carolina, United States of America11
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China11
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, ROC11
da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany11
Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK11
Department of Computer Science and Engineering, University of Notre Dame, USA11
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA11
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany11
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China11
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China11
School of Computer, Wuhan University, Wuhan, China11
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Portugal11
Visual Computing Group, Microsoft Research, Beijing, China11
Shanghai Jiao Tong University11
Massachusetts Institute of Technology11
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Department of Computer Science, TU Darmstadt11
Indian Institute of Science, Bangalore, India11
School of Electronic Engineering, Xidian University, Xi'an, China11
The Chinese University of Hong Kong11
Institute of Automation Chinese Academy of Sciences, Beijing, China11
Anhui University, Hefei, China11
Columbia University, New York, NY, USA11
The University of Melbourne11
National University of Defense Technology, China11
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia11
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China11
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China11
Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia11
Institute of Automation, Chinese Academy of Sciences11
International Institute of Information Technology, Hyderabad, India11
Northwestern Polytechnical University, Xi'an, China11
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong11
Sun Yat-Sen University, Guangzhou, China11
Max Planck Institute for Informatics, Saarbrücken, Germany11
Department of Computer Science and Engineering, Jadavpur University, Kolkata, India11
University of Amsterdam, Amsterdam, Netherlands11
CNRS-LTCI, Télécom ParisTech, Paris, France10
Lancaster University, UK10
University of Canberra, Canberra, Australia10
Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan10
Intel Labs, China10
Department of Information Engineering and Computer Science, University of Trento, Italy10
Center for Automation Research, University of Maryland, College Park, MD 2074210
Department of Computing, Imperial College London, London, United Kingdom10
CVIP Laboratory, University of Louisville, KY, USA10
Department of Informatics, Aristotle University of Thessaloniki, Greece10
Human Language Technology Center of Excellence, The Johns Hopkins University, Baltimore, MD, 21218, USA10
Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA10
Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil10
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA10
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China10
Australian National University, Canberra, Australia10
Chinese Academy of Sciences10
University of Udine, Udine, Italy10
School of Electronic Engineering, Xidian University, Xi’an, China10
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
National Taiwan Unversity, Taipei, Taiwan Roc10
National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China10
Google Research, Zurich, Switzerland10
National Institute of Advanced Industrial Science and Technology10
EURECOM, Sophia Antipolis, France10
College of Information Engineering, Yangzhou University, Yangzhou, China10
The University of Nottingham10
Beijing University of Technology, Beijing, China10
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France10
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan10
School of Software, Dalian University of Technology, Dalian, China10
Xiamen University, Xiamen, China10
Thales Services, ThereSIS, Palaiseau, France10
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia10
Chinese Academy of Sciences, Institute of Automation, Beijing, China10
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, R.O.C.10
School of Software Engineering, Tongji University, Shanghai, China10
Institute of Information Science, Beijing Jiaotong University, China10
MPI Informatik10
University of Illinois at Urbana-Champaign, Urbana10
State University of New York at Binghamton, USA10
Institute of Systems and Robotics, University of Coimbra, Portugal10
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA10
Renmin University of China, Beijing, China10
Shanghai Jiao Tong University, China10
Nagoya Institute of Technology, Japan10
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China10
University of Florence10
University of California, Berkeley, Berkeley, CA, USA10
Department of Electronic Engineering, Shanghai Jiao Tong University, China10
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, U.K.10
Illinois Institute of Technology10
Indraprastha Institute of Information Technology Delhi, New Delhi, India10
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK10
Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain10
Cornell University10
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China10
Carnegie Mellon University, ForbesAvenue, Pittsburgh PA10
Kyushu University, Fukuoka, Japan10
Université de Toulouse, CNRS, Toulouse, France10
CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China10
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang Province, China10
University of Technology Sydney, Sydney, Australia10
Nanjing University of Science and Technology, Nanjing, China10
University of Surrey, Guildford10
University of Amsterdam, Amsterdam, The Netherlands10
School of Computer Engineering, Nanyang Technological University, Singapore, Singapore10
Communication and Information Security Lab, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University10
Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China10
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan10
UMIACS, University of Maryland at College Park, College Park, MD, USA10
School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China10
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China10
Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran10
Queen Mary University of London, London, United Kingdom10
School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing, Soochow University, Suzhou, China10
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China10
State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China10
Department of Computer Science, State University of New York at Binghamton9
University of Udine, Italy9
Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)9
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA9
Princeton University9
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047, JAPAN9
Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China9
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, P. R. China9
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China9
University of Notre Dame, Notre Dame, IN, USA9
ISTI-CNR, Pisa, Italy9
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 1175769
Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China9
Robotics and Microsystems Center, Soochow University, Suzhou, China9
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France9
School of Information Engineering, Yangzhou University, Yangzhou, China9
School of Information and Communication, Guilin University of Electronic Technology Guangxi Guilin, China9
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China9
Key Lab of Machine Perception (MOE), Peking University, Beijing, China9
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA9
Dept. of Computer Science and Information Engineering, National Central University, Jhongli, Taiwan9
Carnegie Mellon University, Pittsburgh, USA9
School of Information Science and Engineering, Central South University, Changsha, China9
Department of Information Science and Engineering, Ritsumeikan University, Shiga, Japan9
Beijing Normal University, Beijing, China9
National University of Ireland Galway, Galway, Ireland9
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China9
UC Berkeley9
Department of Computer Engineering, Kyung Hee University, South Korea9
University of Rochester, Rochester, NY, USA9
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain9
Department of Information Engineering, Media Integration and Communication Center (MICC), University of Florence, Italy9
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland9
Centre of Visual Computing, Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Selangor, Malaysia9
School of Computer Engineering and Science, Shanghai University, Shanghai, China9
Intel China Research Center, Beijing, China9
Centre for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia9
Department of Electric and Electronic Engineering, Yonsei University, Seoul, 120-749, Republic of Korea9
Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China9
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA9
Department of Computer Science, University of Rochester, Rochester, NY, USA9
School of Electronics and Information Technology, Sun Yat-sen University, China9
School of Computer Science and Software Engineering, University of Wollongong, Australia9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 6397989
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China9
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan9
School of Software Engineering, Chongqing University, Chongqing, China9
INRIA Rhône-Alpes, Grenoble, France9
University of Texas at San Antonio, San Antonio, USA9
Microsoft Research9
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia9
Dalian University of Technology, China9
ETH Zurich, Switzerland9
Institute of Computing, University of Campinas, Campinas, Brazil9
Université Picardie Jules-Vernes, 80000 Amiens, France9
Brno University of Technology9
Dublin City University, Dublin, Ireland9
Department of Computer and Information Science, University of Konstanz, Germany9
School of Automation, Guangdong University of Technology, Guangzhou, China9
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China9
Department of Electronic Engineering, The Chinese University of Hong Kong, China9
College of Computer Science and Technology, Jilin University, Changchun, China9
Queen Mary University of London, UK9
North Carolina Agricultural and Technical State University, Greensboro, NC9
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom9
Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea9
Indian Institute of Information Technology, Allahabad, India9
Department of CSIE, Hefei University of Technology, Hefei, China9
National Taiwan University of Science and Technology, Taipei, Taiwan9
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China9
East China Normal University, Shanghai, China9
The Pennsylvania State University, University Park, PA, USA9
School of Computer Science and Engineering, Beihang University, Beijing, China9
Fondazione Bruno Kessler, Trento, Italy9
Noblis, Falls Church, VA, U.S.A.9
Google Inc., Mountain View, CA, USA9
Graduate School at Shenzhen, Tsinghua University, Shenzhen, China9
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy8
P.G. Demidov Yaroslavl State University, Yaroslavl, Russia8
University of Illinois at Urbana-Champaign, Urbana, IL, USA8
Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA8
University of Houston8
Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy8
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia8
School of Communication and Information Engineering, Shanghai University, 200444, China8
Beijing, Haidian, China8
School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore8
The Pennsylvania State University, USA8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
Google, Inc., Mountain View, CA, USA8
School of Electronics and Information, Northwestern Polytechnical University8
Sun Yat-sen University, School of Data and Computer Science, GuangZhou, China8
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China8
NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China8
Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China8
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China8
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia8
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands8
Université Paris-Sud, 91405, Orsay, FRANCE8
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China8
Singapore University of Technology and Design, Singapore, Singapore8
School of Computer Science & Technology, Harbin Institute of Technology8
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Information Technologies Institute, CERTH, Thessaloniki, Greece8
Keio University, Japan8
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China8
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China8
Center for Machine Vision Research, University of Oulu, Finland8
CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France8
L3S Research Center, Leibniz Universität Hannover, Germany8
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 6117318
Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain8
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R., 710049, China8
School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA8
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Institute of Signal Processing and System Theory, University of Stuttgart, Germany8
Department of Electrical Engineering, University of Washington, Seattle, WA, USA8
Universidad Autonoma de Madrid8
University of Notre Dame8
CERTH-ITI, Thessaloniki, Greece8
Renmin University of China, China8
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan8
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University8
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, 200240, China8
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK8
Indraprastha Institute of Information Technology (IIIT), Delhi, India8
Samsung R&D Institute, China8
Capital Normal University, Beijing, China8
School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China8
Singapore University of Technology and Design, Singapore8
University of Amsterdam, The Netherlands8
School of Information Science and Engineering, Shandong University, Jinan, China8
Soochow University, Suzhou, China8
Microsoft, Redmond, WA, USA8
Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China8
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea8
Center for Research in Intelligent Systems, University of California, Riverside, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China8
School of Communication & Information Engineering, Shanghai University, China8
Michigan State University, USA8
South China University of Technology, Guangzhou, 510641, China8
Institute of Computer, Hangzhou Dianzi University, China8
Beijing University of Posts and Telecommunications, Beijing, China, 1008768
School of Information Science and Engineering, Lanzhou University, Lanzhou, China8
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University8
School of Information Science and Engineering, Xiamen University, Xiamen, China8
College of Computer Science, Sichuan University, China8
Computer Vision Center, UAB, Barcelona, Spain8
University of Illinois at Urbana-Champaign, Champaign, IL, USA8
Osaka University, Osaka, Japan8
University of Surrey, Guildford, UK8
Institute of Computer Science and Technology, Peking University, Beijing, P.R. China, 1008718
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Genova - Italy8
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Türkiye8
Université de Lyon, CNRS, France8
Institute for Infocomm Research, A*STAR, Singapore, Singapore8
Key Laboratory of Intelligent Computation & Signal Processing, Ministry of Education, Anhui University, Hefei, China8
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China8
School of Computer Science, Communication University of China, Beijing, China8
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China8
Queen Mary University of London, London, U.K.8
University of Maryland, College Park, USA8
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, SC 29634 USA8
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, China8
Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China8
Electronics and Telecommunications Research Institute, Daejeon, Korea8
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China8
Center for Computer Vision and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China8
School of Information and Communication Engineering, Dalian University of Technology, China8
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, USA8
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China8
National Taiwan University of Science and Technology, Taipei, Taiwan Roc8
Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia8
INRIA, France8
Multiphase Flow Research Center, Federal University of Technology–Paraná, Curitiba, Brazil8
Aristotle University of Thessaloniki, Department of Informatics, Box 451, 54124 Thessaloniki, Greece8
Institute of Electrical Control Engineering, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan8
Duke University, Durham, NC, USA8
Signal & Information Processing Laboratory, Beijing University of Technology, Beijing, China8
Center for Biometrics and Security Research and the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
Sarnoff Corporation, Princeton, NJ, USA8
Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China8
University of Sassari, Italy8
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh8
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh8
Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea8
Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386328
Delft University of Technology, Delft, The Netherlands8
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland8
College of Information Science and Engineering, Hunan University, Changsha, China8
Department of Computer Science, National Tsing Hua University, Taiwan8
School of Information Engineering, Nanchang University, Nanchang, China8
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA8
Masaryk University, Brno, Czech Republic8
School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK8
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China8
Dalian University of Technology, Dalian, China8
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea8
State Key Laboratory for Novel Software Technology, Nanjing University, China8
School of Computer Science and Technology, Shandong University, Jinan, China8
Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School, China8
KTH Royal Institute of Technology, Stockholm, Sweden8
Zhejiang University, HIKVISION8
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan8
Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom8
Queen Mary University of London8
Hangzhou Dianzi University, Hangzhou, China8
Google Inc., USA8
Southeast University, China8
Fraunhofer IOSB, Ettlingen, Germany8
Robotics Institute, Carnegie Mellon University, USA8
University of Washington, Seattle, WA, USA8
Robert Bosch GmbH, Hildesheim, Germany8
Mitsubishi Electric Research Laboratories, Cambridge, MA, USA8
Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China8
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology7
UC Berkeley and Max-Plank-Institute for Informatics, Germany7
Departamento de Informática, Universidade Federal do Espírito Santo, Vitória, Brazil7
University of Tampere, Tampere, Finland7
School of Automation Science and Engineering, South China University of Technology, Guangzhou, 510641, China7
CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy7
DGIST, Daegu, Republic of Korea7
Computer Science Department, University of Buenos Aires, Argentina7
North Carolina Agricultural and Technical State University, NC7
Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China7
Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, USA7
Barcelona Supercomputing Center, Spain7
Gwangju Institute of Science and Technology7
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China7
Institute of Engineering & Management, Kolkata7
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA7
Department of Computer Science, Jiangnan University, No. 1800 LiHu Avenue, WuXi, China7
University of Missouri-Columbia, USA7
UC Berkeley, Berkeley, CA, USA7
GRASP Laboratory, Department of Computer Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA USA7
Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA7
School of Electrical Engineering and Computer Science, Pennsylvania State University, PA USA7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
Technische Universität Darmstadt, Darmstadt, Germany7
Autonomous Systems Lab, ETH Zürich, Switzerland7
Universitas Indonesia, Depok, Indonesia7
Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand7
Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy7
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China7
Department of Computer and Information Science, University of Macau, China7
School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China7
Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany7
Advanced Computer Architecture Laboratory, University of Michigan, Ann Arbor, MI 481097
University of Geneva, Geneva7
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece7
Haikou Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Haikou, China7
Center for Automation Research, UMIACS, University of Maryland, College Park, 20740, United States of America7
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France7
Waseda University, Tokyo, Japan7
SenseTime Research7
Signal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia7
School of Information and Software Engineering, University of Electronic Science and Technology of China, Country Chengdu, 610054, China P.R.C7
Northwestern University7
Intelligent Systems Research Laboratory, University of Reading, United Kingdom7
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Purdue University, USA7
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China7
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China7
Graduate School of System Informatics, Kobe University, Kobe, 657-8501 Japan7
Digital Performance and Simulation Key Laboratory, School of Software, Beijing Institute of Technology, Beijing 100081, China7
Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK7
NAIST7
Computer Laboratory, University of Cambridge, UK7
Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC7
Beihang University7
Tsinghua University7
Duke University7
Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China7
Stanford University, Stanford, CA, USA7
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India7
College of Information Engineering, Capital Normal University, Beijing, China7
Signal & Information Processing Lab, Beijing University of Technology, Beijing, China7
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan7
University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany7
Department of Computer Science, Rutgers University, Piscataway, NJ, USA7
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China7
Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye7
Samsung Advanced Institute of Technology, Korea7
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China7
Massachusetts Institute of Technology, Cambridge, MA, USA7
Klagenfurt University, Klagenfurt, Austria7
CVIP Lab, University of Louisville, Louisville, KY, USA7
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100190, China7
College of Computer Science, Zhejiang University of Technology, Hangzhou, China7
CyLab Biometrics Center and the Department of Electrical and Computer Engineering (ECE), Carnegie Mellon University, Pittsburgh, USA7
School of Mathematics and Statistics, Xidian University, Xi’an, China7
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia7
Center for Future Media, University of Electronic Science and Technology of China, Chengdu, China7
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China7
Graduate School of Electrical Engineering, University of Ulsan, Korea7
Department of Computing, Curtin University, Australia7
Indraprastha Institute of Information Technology Delhi, Delhi, India7
Northwestern Polytechnical University, Xi’an, China7
Princeton University, Princeton, NJ, USA7
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China7
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China7
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China7
Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany7
Robotics Institute, Carnegie Mellon University, Pittsburgh, USA7
Tencent AI Laboratory, Shenzhen, China7
Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea7
University of Michigan, Ann Arbor, MI, USA7
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, China7
College of Information Science and Technology, Beijing Normal University, Beijing, China7
Kyushu Institute of Technology, Iizuka, Japan7
Chonnam National University, Gwangju, South Korea7
Graduate School of Electrical Engineering, University of Ulsan, Korea 680-7497
School of Electronics and Computer Science, University of Southampton, Southampton, U.K.7
University of Pittsburgh, Pittsburgh, PA, USA7
Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA7
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj-Napoca, Romania7
Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA7
Department of Computer Science and Engineering, University of Notre Dame, IN 46556, USA7
Aalborg University, Aalborg, Denmark7
Stony Brook University, Stony Brook University, NY 11794, USA7
Columbia University7
Dept. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan7
Machine Vision Group, University of Oulu, Finland7
School of ITEE, The University of Queensland, Australia7
Computer Vision Laboratory, ETH Zurich, Switzerland7
University of Ljubljana, Slovenia7
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China7
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China7
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China7
School of Information Science and Technology, Xiamen University, Xiamen, China7
Computational Biomedicine Lab, University of Houston, TX, USA7
Università degli Studi di Firenze, Firenze, Italy7
Institute of Neural Information Processing, Ulm University, Ulm, Germany7
University of South Florida, Tampa, FL, USA7
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia7
Queen Mary University of London, London7
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China7
School of Computer Science, Sichuan University, Chengdu, China7
School of Information Engineering, Zhengzhou University, Zhengzhou, China7
Clemson University, Clemson, SC7
SENSE VIT University Vellore, India7
Guangdong University of Technology, Guangzhou, China7
Department of Signal Processing, Tampere University of Technology, Finland7
School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China7
College of Information Engineering, Communication University of China, Beijing, China7
University of California, Berkeley7
University of Chinese Academy of Sciences, China7
MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 024207
Faculty of Information Technology, Beijing University of Technology, Beijing, China7
Dept. of Comput., Hong Kong Polytech. Univ., China7
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway7
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
School of Software, Huazhong University of Science and Technology, Wuhan, China7
Department of MathematicsIntelligent Data Center, Sun Yat-sen University, Guangzhou, China7
Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China7
Grad. School of Information Science and Technology, The University of Tokyo, Japan7
Indiana University Bloomington, Bloomington, IN, USA7
University of Toronto, Toronto, Canada7
Agency for Defense Development, Korea7
Virginia Tech7
State Key Laboratory of Management and Control for Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China7
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China7
Guangxi University, Nanning, China7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China7
The Hong Kong Polytechnic University, Hong Kong, China7
University of Southern California7
School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China7
Image Processing Center, Beihang University, Beijing, China7
University of Tsukuba, Tsukuba, Japan7
School of EEE, Nanyang Technological University, Singapore7
Centre for Research & Technology-Hellas, Thessaloniki, Greece7
Department of Information Engineering, University of Brescia, Italy7
LAAS-CNRS, Toulouse, France7
College of Electrical and Information Engineering, Hunan University, Changsha, China7
College of Computer Science and Technology, Huaqiao University, Xiamen, China7
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China7
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China7
Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA7
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China7
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China7
Faculty of Information Technology, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia7
The Chinese University of Hong Kong, Hong Kong7
University of Catania, Catania, Italy7
College of Electrical Engineering and Automation, Anhui University, Hefei, China7
National Taiwan University of Science and Technology7
The University of Sheffield, Sheffield, UK7
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, China7
University of California7
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China7
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA7
Zhejiang University of Technology, Hangzhou, China7
University of Ottawa, Ottawa, ON, Canada7
Institute of Computing Technology, CAS, Beijing, China7
TCS Innovation Labs, Bangalore, India6
Institute of Technology, University of Ontario, Oshawa, ON, Canada6
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
PLA University of Science and Technology (PLAUST), Nanjing, China6
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia6
Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece6
Dept. of Computer Science, University of California, Irvine6
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa6
Indian Institute of Technology (BHU) Varanasi, India6
Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh6
The University of Western Australia6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil6
School of Computer Science, Centre for Intelligent Machines, McGill University, Montréal, Canada6
Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China6
College of Information&Engineering, Nanchang University, Nanchang, China6
Dept. of Comput. Sci., Houston Univ., TX, USA6
SRI International Sarnoff Princeton, NJ 085406
Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil6
LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France6
Computational Biomedicine Lab, Dept. of Computer Science, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USA6
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China6
Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, U.S.A.6
Department of Computing, Imperial College London, South Kensington Campus, London, United Kingdom6
Research School of Engineering, Australian National University, Canberra, ACT, Australia6
Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon,Republic of Korea6
University of Alicante, Alicante, Spain6
Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Republic of Korea 151-7426
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany6
University of Macau, Macau, China6
IBM Research - Haifa, Israel6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
École de technologie superieure6
Department of Mathematics, School of Science, Shanghai University, Shanghai, China6
Visual Analysis of People (VAP) Laboratory, Rendsburggade 14, Aalborg University, 9000 Denmark6
State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China6
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic6
Gdańsk University of Technology, Poland6
State Key Laboratory of ASIC and System, Fudan University, Shanghai, China6
Beijing, China6
Department of Computer Science and Technology, Ocean University of China, 238 Songling Road, Qingdao, China 2661006
Autonomous Systems Lab, ETH Zürich, Switzerland6
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China6
GIPSA-Lab, Grenoble, France6
Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China6
College of Electronic and Control Engineering, Beijing University of Technology, 100124, China6
Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia6
Key Laboratory of Machine Perception Shenzhen Graduate School, Peking University, China6
Department of Informatics, Knowledge Technology, University of Hamburg, Germany6
Dept. of Electrical Engineering and Comp. Sc., Northwestern University, Evanston, IL 60208, USA6
Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand6
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA6
Department of Computer Science, University of York, UK6
Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy6
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China6
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi6
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal6
Department of Computer Science and Technology, Tsinghua University, China6
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China6
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan6
Department of Electrical and Computer Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA6
Ministry of Education, School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, China Guangdong Key Laboratory of Information Security Technology, Guangzhou, 510275, China6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China6
DISI - University of Trento Via Sommarive, 5-38123 Trento - Italy6
Department of Information Science & Electronic Engineering, Zhejiang University, No.38, Zheda Road, Hangzhou 310027, P. R. China6
School of Information Science and Technology, Dalian Maritime University, Dalian, China6
Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16/II, 8010, Austria6
University of Toronto, Canada6
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, P. R. China6
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong6
Department of Computer Science and Technology, Harbin Institute of Technology University, 518055 Shenzhen, China6
Department of Information Engineering and Computer Science (DISI), University of Trento, Trento, Italy6
School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia6
Carnegie Mellon University, Pittsburgh, Pennsylvania United States6
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, P. R. China6
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.6
Cornell University, Ithaca, NY, USA6
School of Computer Science, North China University of Technology, Beijing, China6
Department of Electronic Engineering, The Chinese University of Hong Kong6
School of Automation, Nanjing University of Post and Telecommunications, 210046, China6
University of Firenze, Firenze, Italy6
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy6
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium6
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA6
Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Champaign, IL, USA6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
China Three Gorges University, Yichang, China6
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche 60131 Ancona, Italy6
Computer Science, U.Illinois at Urbana Champaign, Urbana, United States6
PUC-RS, Brazil6
Freie Universität Berlin, Germany6
Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China6
Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China6
School of Electrical Engineering and Automation, Anhui University, China6
Department of Computer Science and Information Engineering, Tamkang University, Taiwan6
IAIR, Xi'an Jiaotong University, China6
Centre de Visi´o per Computador6
College of Information Technical Science, NanKai University, CITS, TianJin, China6
Zhejiang University, Hang Zhou, China6
Department of Computer Science and Engineering, Varendra University, Rajshahi, Bangladesh6
School of Computer Science and Engineering, Southeast University, Nanjing, China6
Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA6
National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China6
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China6
WINLAB, Rutgers University6
Los Alamos National Laboratory, New Mexico, USA6
Information Technologies Institute / CERTH, Greece6
School of Computing, University of South Alabama6
Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria6
Department of Electrical Engineering, KAIST, Daejeon, Korea6
Colorado State University, Fort Collins6
University of New South Wales, Australia6
Univ. of Bristol, UK6
Computer Engineering Dept., Amirkabir University, Tehran, Iran6
Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia6
University of Texas at Arlington, Arlington6
City University of Hong Kong, Hong Kong6
School of Engineering, University of Baja California, Tijuana, México6
School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China6
Institute of Image Processing and Pattern Recognition Department of Automation, Shanghai Jiao Tong University, China6
School of Computing and Communication, Lancaster University, Lancaster, U.K.6
School of Information Science and Engineering, Xiamen University, China6
IIT Guwahati, Guwahati, India6
Dept. of E.E., Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China6
Cardiff University, UK6
Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain6
Jiangsu Provincial Key Lab of Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China6
Shenzhen Academy of Robotics, Shenzhen, Guangdong, China6
Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt6
Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China6
Indian Statistical Institute, Kolkata6
Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina6
Jaguar Land Rover, Engineering Centre, Coventry, UK6
Department of Computer Science, University of Warwick, Coventry, UK6
Disney Research, Pittsburgh, USA6
Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK6
Leibniz Universität Hannover, Institute of Microelectronic Systems, Hanover, Germany6
Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay6
Wuhan University, School of Electronic Information, Wuhan, 430072, China6
School of Computer Science and Technology, Soochow University, Suzhou, China6
School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China6
CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France6
Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China6
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany6
Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea6
School of Electronics and Computer Science, University of Southampton, United Kingdom6
South China University of Technology6
University of Freiburg, Germany6
National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China6
School of Computer Science, Nanjing University of Science and Technology, Nanjing, China6
Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI), Federal University of Technology - Parana (UTFPR), Curitiba, Brazil6
Department of Electrical Engineering, Indian Institute of Technology Kanpur, PIN 208016, Uttar Pradesh, India6
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China6
University of Bonn, Germany6
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China6
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA6
Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia6
State Key Lab of Virtual Reality Technology and Systems, Beihang University, Beijing, China6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
MIT CSAIL6
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China6
Department of Computer Science, University of Kentucky6
ATR Key Laboratory, National University of Defense Technology, Changsha, China6
Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 3100236
Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 1008716
Department of Engineering, Enzo Ferrari University of Modena and Reggio, Modena, 41125, Italy6
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China6
Dept. of Electrical and Electronic Engineering, University of Peradeniya6
University of Verona, Department of Computer Science6
SUNY Buffalo, Buffalo, NY, USA6
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, UK6
Department of Computing, Hong Kong Polytechnic University, Hong Kong6
University of Notre Dame, Notre Dame6
Dept. of Eng. Sci., Oxford Univ., UK6
New Industry Creation Hatchery Center, Tohoku University, Japan6
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China6
The Ohio State University, Columbus, OH, USA6
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal6
SAIT India, Samsung India Software Operations Pvt. Ltd (SISO), Bangalore, India, 5600936
Universidade Federal de Campina Grande, Brazil6
SIANI-Universidad de Las Palmas de Gran Canaria, Spain6
VNU HCMC, University of Science, Ho Chi Minh City, Vietnam6
Daimler AG, Research and Development, Ulm, Germany6
Center for Vision Technologies, SRI International, Princeton, NJ 08540, USA6
Research Center for Information Technology Innovation, Academia Sinica, Taiwan6
Nara Institute of Science and Technology, Japan6
Department of Computer Science and Engineering, Shiraz University, Iran6
Hong Kong Polytechnic University, Hong Kong, China6
Advanced Multimedia Research Lab, ICT Research Institute, School of Computer Science and Software Engineering, University of Wollongong, Australia6
CVIT, IIIT Hyderabad, India6
Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL.6
Hong Kong Polytechnic University, Hong Kong, Hong Kong6
Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK6
Institute for Information and System Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
Harbin Institute of Technology6
Department of Computer Science, Chongqing University, Chongqing, China6
Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K.6
Autonomous Driving Lab, Tencent, Beijing, China6
City University of Hong Kong6
Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK6
Center for Behavioral Imaging, School of Interactive Computing, Georgia Institute of Technology6
School of Software, Dalian University of Technology, China 1166206
University of Ljubljana, Ljubljana, Slovenia6
Wuyi University, Jiangmen, China6
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, China6
Advanced Telecommunication Research Institute International, Kyoto, Japan6
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom6
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, CHINA6
University of Oulu, Oulu, Finland6
INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France6
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia6
Amity University Uttar Pradesh, Noida6
Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, 061071, Romania6
Faculty of Information Technology, Brno University of Technology Centre of Excellence IT4Innovations, Bozetechova 2, Brno, 61266, Czech Republic6
Chinese University of Hong Kong, Hong Kong, Hong Kong6
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China6
University of Minnesota, Minneapolis, MN6
School of Software, University of Technology Sydney, New South Wales, Australia6
Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 320006
Columbia University, New York, USA6
Télécom Lille, CRIStAL UMR (CNRS 9189), France6
IMPCA, Curtin University, Australia6
Centre for Development of Advanced Computing (C-DAC), Thiruvananthapuram, India6
UCL Interaction Centre, University College London, London, Unithed Kingdom6
Hong Kong University of Science and Technology, Hong Kong6
Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.6
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
University of Wisconsin - Madison6
Tampere University of Technology, Tampere, Finland6
Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA6
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore6
Institute for Human-Machine Communication, TU Munich, Germany6
Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, China6
UMIC Research Centre, RWTH Aachen University, Germany6
School of Software Engineering, Chengdu University of Information Technology, Chengdu, China6
HIT Delhi, India6
Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 117576, Singapore6
School of Information Science and Technology, Sun Yat-sen University, China6
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA6
Peking University, China6
Hochschule Düsseldorf, University of Applied Sciences, Münsterstraße, Düsseldorf, Germany6
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University6
NC A&T State University, Greensboro, NC, USA6
Department of Electronic Engineering, Shanghai Jiao Tong University6
University of St Andrews6
University of California, Irvine, Irvine, CA, USA6
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China6
University Politehnica of Bucharest, Faculty of Electronics, Telecommunications and Information Technology, Applied Electronics and Information Engineering Department, 1-3, Iuliu Maniu Ave., Romania 0610716
School of Telecommunications Engineering, Xidian University, Xi’an, China6
Nokia Research Center, Beijing, China6
Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, GU2 7NH, USA6
Fudan University, Shang Hai, China6
The Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong6
School of Data and Computer Science, Sun Yat-Sen University, China6
Department of Computer Science, University of Calgary, Calgary, Canada6
Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China6
Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Satmasjid Road, Dhaka, Bangladesh6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA6
Università degli Studi di Milano, Crema, IT6
Department of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China6
Centre for Intelligent Sensing, Queen Mary University of London, London, U.K.6
Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye6
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.6
School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China6
AAU UMR CNRS 1563, Ecole Centrale de Nantes, France6
Institute of Industrial Science, The University of Tokyo, Japan6
Zhengzhou University, Zhengzhou, China6
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA6
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China6
Université de Toulouse, Toulouse, France6
Adv. Technol. Application Center, Havana6
University of California San Diego, USA6
College of Communications Engineering, PLA University of Science and Technology, Nanjing, China6
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India6
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China6
Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, 4 place Jussieu, Paris, France6
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA6
School of Engineering, Newcastle University, UK6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
University of Technology, Sydney, Australia6
Idiap Research Institute, Switzerland6
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh6
Department of Future Technologies, University of Turku, Finland6
Institute of Information Science, Academia Sinica, Taipei, Taiwan6
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China6
Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka6
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong6
Université de Technologie de Compiègne (UTC), France6
Department of Computer Science, University of British Columbia, 201-2366 Main Mall, Vancouver, B.C. V6T 1Z4, Canada6
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China6
Tongji University, No.4800 Cao’an Road, Shanghai, P. R. China6
Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany6
Universidad Autonoma de Madrid, Madrid6
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa6
College of Electronics & Information Engineering, Tongji University, 201804, Shanghai, China6
Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, Dalian University of Technology, Dalian, China6
University of California, Riverside6
Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain6
University of Barcelona, Barcelona, Spain6
Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil6
Computer Science Department, University of Technology, Baghdad, Iraq6
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China6
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China6
UC San Diego6
Waseda University6
USC Institute for Creative Technologies6
CReATe Fertility Centre, Toronto, Canada6
University of Toronto, Advanced Micro and Nanosystems Laboratory, Toronto, Canada6
Pattern Recognition and Intelligent System Laboratory, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China6
School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea6
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan6
Department of Electronic Systems, Aalborg University, Denmark6
School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK6
Nanjing University of Aeronautics and Astronautics, Nanjing, China6
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 6397986
Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
College of Automation, Nanjing University of Posts and Telecommunications, 210046, China6
Computer Vision, Video and Image Processing (CvviP) Research Lab, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia6
Johannes Kepler University, Linz, Austria6
School of Computer Science, The University of Adelaide, Adelaide, SA, Australia6
TU Darmstadt, Darmstadt, Germany6
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China6
Georgia Institute of Technology, Atlanta, GA6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
Sharif University of Technology6
University of Technology, Sydney, Sydney, Australia6
School of Computer and Control Engineering, University of Chinese Academy of Sciences, China6
Vision Lab at Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA6
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China6
KAIST, Daejeon, Korea6
State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China6
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China6
Carnegie Mellon University, Pittsburgh, PA6
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, U.K.6
Yahoo Research, San Francisco, CA, USA6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Türkiye6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U.S.A.6
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China6
School of Computer Science and Technology, Xidian University, Xian, China5
Siemens Healthcare, Malvern, PA, USA5
Institute of Artificial Intelligence & Robotics, Xi'an Jiaotong University, China5
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom, BS8 1UB5
Université de Lyon, CNRS, INSA-Lyon, LIRIS, France5
University of Southern California Institute for Creative Technologies, Los Angeles, CA5
Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany5
Image and Video Laboratory, Queensland University of Technology, Australia5
DFKI GmbH, Kaiserslautern, Germany5
Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil5
School of Electronics and Information Engineering, Beijing Jiaotong University, China, 1000445
Image Processing Center, School of Astronautics, Beihang University, Beijing, 100191, China5
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China5
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile5
Clemson University, Clemson, SC, USA5
School of Mechanical Engineering & Automation, Beihang University, Beijing, China5
National Technical University of Athens, Greece5
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX 77004, USA5
Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul5
Telecommun. & Ind. Phys., CSIRO, Epping, NSW, Australia5
Integrated Media Systems Center, University of Southern California, Los Angeles, CA 90089, USA5
Faculty of Information Technology, Maranatha Christian University, Indonesia5
National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing, China5
Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea5
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences5
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi, China5
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea5
VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy5
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan5
Biometrics and Data Pattern Analytics (BiDA) Lab, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Spain5
CNR IFC-Institute of Clinical Physiology, Pisa, Italy5
Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany5
College of Information Engineering China Jiliang University, HangZhou, China 3100185
Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China5
Research Academy, Northeastern University, Shenyang, China5
Korea Advanced Institute of Science and Technology, Daejeon, Korea5
Lawrence Livermore National Laboratory, Livermore, CA5
Computer Science Department, Bina Nusantara University, Jakarta, Indonesia5
Securics, Inc, USA5
C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY5
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan5
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China5
Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines5
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil, 80230-9015
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, China5
Norwegian Biometrics Laboratory, Gj⊘vik University College, 2802 Gj⊘vik, Norway5
College of Computer and Information Technology, Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei Province, 443002, China5
University of Athens, Athens, Greece5
Harvard University, Cambridge, MA, USA5
School of Electronic Information, Wuhan University, Wuhan, China5
Defence Peace Safety and Security, CSIR Pretoria, South Africa5
Automotive Processor, Texas Instruments Incorporated, Bangalore, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan5
School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China5
Inst. Nat. des Telecommun., Evry, France5
College of Information Engineering China Jiliang University, 310018, Hangzhou, Zhejiang, China5
State Key Laboratory of Software Development Environment, Beihang University, P.R. China5
Institute for Infocomm Research , Agency for Science, Technology and Research, Singapore5
Shenzhen Key Lab of Advanced Telecommunication and Information Processing, College of Information Engineering, Shenzhen University5
Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain5
Simula Research Laboratory & University of Oslo, Oslo, Norway5
KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan5
Toyota Central R&D Labs., Inc., Nagakute, Japan5
RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia5
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava5
College of Information Engineering, China Jiliang University, CJLU Hangzhou, China5
Visionlab, Heriot-Watt University, Edinburgh, UK5
National Chiao Tung University, Department of Computer Science, Hsinchu, Taiwan, R.O.C.5
Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 4007145
School of Electrical Engineering, Korea University, Anam-dong, Sungbuk-gu, Seoul, 136-713, Rep. of Korea5
Korea University, Seoul, South Korea5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida 328165
State Key Laboratory of Software Engineering, Collaborative Innovation Center of Geospatial Technology, National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China5
UNC-Charlotte, Charlotte, NC, USA5
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China5
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA5
Institute of Digital Media, Peking University, Beijing, China5
Dept. of Computer Science & Engineering, The Ohio State University, USA5
Northwestern Polytechnical University, Xi'an Shaanxi, China5
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
School of information and Control Engineering, China University of Mining and Technology, Xuzhou, 221000, China5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
University of North Carolina at Chapel Hill5
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil5
CVIT, IIITH, India5
Department of Automation, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China5
The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China5
Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China5
Centre for Machine Vision Research, University of Oulu, Finland5
Information Research Institute, Shandong Academy of Sciences, No 19 Keyuan Road, Jinan, 250014, China5
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany5
Institute of Information Technology, University of Dhaka5
School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom5
GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France5
State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, P.R. China5
IIIT-Delhi5
Department Electrical Information Engineering, Shantou University, Shantou, GuangDong5
School of Information Science and Technology, NorthWest University Xi'an, China5
Center for Imaging Science, Department of Biomedical EngineeringJohns Hopkins University5
School of Electrical and Automation Engineering, Shanghai University, Shanghai, 200072 China5
School of Electrical and Electronic Engineering, Nanyang Technological University5
Department of Electronic Engineering, Tsinghua University, Beijing, P.R.China5
School of Computer Science, University of Manchester5
Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil5
Beijing University of Posts and Telecommunications, Beijing, P.R. China5
College of Information Science and Technology, Beijing Normal University, China5
Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka5
Department of Computer Science, New Jersey Institute of Technology, Newark, USA5
Graduate School of Information, Production and System, Waseda University, Kitakyushu, Japan5
University of Freiburg, Department of Computer Science, Freiburg, 79110, Germany5
University of Southern California, Los Angeles, California, USA5
CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Vision & Image Processing Lab, Systems Design Engineering Dept., University of Waterloo5
Universidade Federal de Minas Gerais (UFMG), Brazil5
Computer Technology Department, University of Alicante, Spain5
Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, GA, USA5
Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic5
Huazhong University of Science and Technology, China5
Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany5
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China5
School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian, 116024, China5
CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China5
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences5
Daimler AG, R&D, Böblingen, Germany5
Image Formation and Processing (IFP) Group, University of Illinois at Urbana-Champaign5
NICTA, Australia5
GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador5
Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco5
School of Biomedical Engineering, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China5
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan5
IBM Research, USA5
Surrey Univ., Guildford, UK5
DeepInsight@PCALab, Nanjing University of Science and Technology5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China5
School of Control Science and Engineering, Shandong University5
Machine Vision Laboratory, University of the West of England, Bristol, UK5
Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany5
University of Manchester, Manchester5
IBM T. J. Watson Research Center, USA5
Department of Computer Science, University of Calgary, Calgary, Alberta5
Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan5
Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou, China5
University of Illinois at Urbana-Champaign, 1308 W. Main st. 61801, USA5
Institute of Information Science and Technologies of the National Research Council of Italy (ISTI-CNR), Pisa, Italy5
Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Madrid, Spain5
School of Data and Computer Science, Sun Yat-Sen University5
Zhejiang University, College of Computer Science, Hangzhou, Zhejiang, 310058, China5
University of Texas at Arlington5
College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China5
University of Vienna, Vienna, Austria5
LUNAM Université, LIUM, Le Mans, France5
Department of Computing, Imperial College London, UK5
Department of Computer Science and Engineering, University of Electronic Science and Technology, Sichuan, China5
Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France5
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA5
Software Institute, Jilin University5
Department of Electrical and Computer Engineering, National University of Singapore, 117576 Singapore5
Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong University, Shanghai, China Shanghai Key Laboratory of Digital Media Processing and Transmissions5
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180555
Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China5
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China5
School of Automation, Beijing Institute of Technology, 100081, China5
Department of Computer Science and Engineering, University at Buffalo5
College of Information Science and Technology, Beijing Normal University, Beijing, P.R. China5
University of California, Riverside, CA, USA5
Department of Mathematics and Computer Science, University of Udine, Udine, Italy5
School of Computer Science and Technology and Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China5
Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand5
Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, 328165
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, PR China5
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, 100876, China5
Visea İnovatif Bilgi Teknolojileri, ETGB Teknoparkı, Eskişehir, Türkiye5
International University of Beirut - BIU, Beirut, Lebanon5
University of Southern California, USA5
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China5
Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK5
Department of Computer Science, University of North Carolina, Charlotte, NC, USA5
School of Computer and Information, Hefei University of Technology, Hefei 230009, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
Research School of Engineering, The Australian National University, Canberra, ACT, Australia5
University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy5
Graduate School of Informatics, Nagoya University, Japan5
Intel Labs China, Intel Corp5
University of Illinois at Urbana Champaign5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
Deptartment of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, 611731, China5
Department of Computer Science, Xiamen University, Xiamen, P. R. China5
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China5
Computer Engineering Department, Firat University, Elazig, Turkey5
Xi'an University of Technology, Xi'an, 710048, P. R. China5
University of Brescia, Department of Mechanical and Industrial Engineering, Via Branze 38 Brescia, Italy5
Graduate University of Chinese Academy of Science, Beijing, China, 1000495
Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania5
School of Electrical Engineering Department, Korea University, Rep. of Korea5
Knowledge Technology Institute, Department of Informatics, University of Hamburg, Hamburg, Germany5
Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia5
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiaotong University5
Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China5
Technische Universität München, Munich, Germany5
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 2100465
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea5
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China5
Toyota Research Institute5
Southern Illinois University at Carbondale, IL, USA5
Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan5
Lab of Pattern Recognition & Information Security, Hangzhou Dianzi University, 310018, China5
Frontier Research Group, Samsung India Software Operations, India5
School of Information Science and Engineering, Changzhou University, Changzhou, China5
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-Gu, Daejeon, 305-701, Korea5
School of Mathematics, Sun Yat-sen University, Guangzhou, China5
National Engineering Research Center on Multimedia Software, Wuhan University, Wuhan 430072, China5
School of Electronic Engineering and Computer Science, Queen Mary University of London, UK5
Cornell University, USA5
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea5
National ICT Australia, Locked Bag 8001, Canberra, Australia5
Inria Paris, Paris, France5
College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China5
Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, The Netherlands5
IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA5
Mapua Institute of Technology, School of Electrical, Electronics and Computer Engineering, Manila, Philippines5
University of Chinese Academy of Sciences, Beijing 100049, China5
School of Automation, Nanjing University of Posts and Telecommunications, 210003, China5
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France5
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China, 1001905
Institute for Microsensors, Actuators and Systems, University of Bremen, Bremen, Germany5
Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
University of Applied Sciences Aschaffenburg, Germany5
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
Hyundai Motor Company, Gyeonggi-do in South Korea5
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science, Beijing, 100190, China5
Department of Computer Science and Technology, Faculty of Computer Science and I.T, University of Malaya, Kuala Lumpur Malaysia5
Chinese Academy of Sciences, Shenzhen, China5
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland5
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P.R. China5
Automation and Systems Research Institute, Seoul National University, Seoul, South Korea5
School of Computing, University of Eastern Finland, Joensuu, Finland5
Department of Computing, Imperial College London, U.K.5
School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China5
Utrecht University, Utrecht, Netherlands5
University of Ontario Institute of Technology, Simcoe St N, Canada5
NVIDIA5
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan5
Département d'informatique et de mathématique, Université du Québec á Chicoutimi (UQAC), Laboratoire d'Intelligence Ambiante pour la Reconnaissance d' Activités(LIARA), Chicoutimi, Quebec, Canada5
National Laboratory of Pattern Recognition, Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China5
BMW Group Technology Office5
Institute of Digital Media Peking University, Beijing, China5
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA5
L3i, University of La Rochelle, France5
Dept. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, P.R. China5
Department of Computer Science and Engineering, Shanghai Jiao Tong University, China5
Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan5
The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China5
Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Center for Learning Science, Southeast University, Nanjing, China5
College of Information Science and Engineering, Northeastern University, Shenyang, 1100045
University of Trento, Italy, Via Sommarive, Trento (Italy)5
Binhai Industrial Technology Research Institute of Zhejiang University, Zhejiang University, Hangzhou, China5
Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 021155
College of Computer Science and Technology, Beijing University of Technology, China5
College of Electronic Science and Engineering, National University of Defense Technology, Hunan, China5
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain5
VIPS Laboratory, School of Electronic Engineering, Xidian University, Xi'an, China5
Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia5
Department of Electronic and Computer Engineering, Brunel University London, UK5
Electrical Engineering, Korea University, Seoul 136-713, Republic of Korea5
Hewlett-Packard Labs5
School of Computer and Information Engineering, Henan University, Kaifeng, China5
School of Computer Science, Wuhan University, Wuhan, China5
School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam5
Universitat Politècnica de Catalunya5
School of Electronics and Information Engineering, Beihang University, Beijing, China5
Department of Computer Science, University of Maryland, College Park, MD 207425
School of Automation Science and EngineeringSouth China University of Technology5
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China5
Shenyang Institute of Automation, CAS, Shenyang, 110016, China5
Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States5
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France5
School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor5
Computer Vision and Pattern Recognition Laboratory (CVPRL), Indian Institute of Technology Ropar, Rupnagar-140001, Punjab, India5
School of CSIT, RMIT University, Australia5
Chalmers University of Technology, Gothenburg, Sweden5
Centre for Autonomous Systems and the Computer Vision and Active Perception Lab, CSC, KTH Royal Institute of Technology, Stockholm, Sweden5
Siqura B.V., Gouda, The Netherlands5
The Hong Kong University of Science and Technology5
Tsinghua National Lab for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, BEIJING, China5
Tsinghua National Laboratory for Information Science and Technology Institute of Microelectronics, Tsinghua University, Beijing, China5
LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC5
Shenzhen, China5
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
School of Computer Science and Engineering,, Nanjing University of Science and Technology, Nanjing, China5
School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada5
School of Computing and Communications, Lancaster University, Lancaster, U.K.5
Department of Mathematics, National University of Singapore, Singapore5
Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain5
School of Automation, Beijing Institute of Technology, Beijing 100081, China5
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China5
ERAU 3700 Willow Creek Rd Prescott, AZ 863145
University of Southampton5
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran5
National Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China5
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University5
Tampere University of Technology, Finland5
College of Computing, Georgia Institute of Technology, Atlanta, GA, USA5
School of Information Technologies, The University of Sydney, Australia5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye5
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China5
Department of Computing, The Hong Kong Polytechnic University, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China5
European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy5
Beijing Technology and Business University, Beijing, China5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
University of Southern California, Los Angeles, USA5
School of Automation, Northwestern Polytechnical University, Xi'an, China5
Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India5
Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina5
INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal5
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China5
Center for Machine Vision Research, University of Oulu5
SKLOIS, IIE, CAS, Beijing, China5
University of Science, Vietnam5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
Technion - Israel Institute of Technology5
Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea5
Hebrew University of Jerusalem, Jerusalem, Israel5
Department of Informatics, Knowledge Technology Institute, University of Hamburg, Vogt-Koelln-Strasse 30, Hamburg, 22527, Germany5
Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia5
Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China5
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang-si, South Korea5
University of California Irvine, CA5
National Institute of Standards and Technology, Gaithersburg, MD5
Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences5
School of Information Science and Engineering, Shandong Normal University, Jinan, China5
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 152135
Computer Vision Group, Friedrich Schiller University Jena, Germany5
National University of Defense Technology, Changsha, China5
Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany5
Department of Computer Science and Engineering, University of Minnesota, Twin Cities, USA5
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland5
Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India5
School of Information Science and Engineering, Central South University, Changsha, 410083, China5
Univ. Grenoble Alpes, Grenoble, France5
Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
School of Computing, National University of Singapore, Singapore, Singapore5
College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, China5
Sun Yat-sen University, Guangzhou5
Microsoft Research, Redmond, USA5
Department of Signal Processing, Tampere University of Technology, Tampere, Finland5
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil5
Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam5
Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea5
Vision for robotics group (v4r), Automation and Control Institute (ACIN), Vienna University of Technology, 1040, Austria5
Faculty of Mathematics and Statistics, Hubei University, Wuhan, China5
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China5
School of Computer and Information, Hefei University of Technology, China5
University of California, Santa Cruz, Santa Cruz, CA, USA5
Department of Computing, Imperial College London, London, UK5
Department of Computer Science, State University of New York at Binghamton, USA5
Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan5
University of Tsukuba5
School of Communication and Information Engineering, Shanghai University, Shanghai, China5
The LNM Institute of Information Technology, Jaipur, India5
University at Albany, State University of New York, USA5
IBM China Research Laboratory, Beijing, China5
Center for Vision Technologies, SRI International, Princeton, NJ5
SIAT at Chinese Academy of Sciences, China5
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Haidian District, Beijing, China5
Lawrence Berkeley National Laboratory, Berkeley, USA5
Microsoft Research, Redmond, WA 98052, USA5
Department of Signal Theory, Telematic and Communications, University of Granada, Spain5
Department of Electrical and Computer Engineering, Biometric Technologies Laboratory, University of Calgary, Calgary, AB, Canada5
State Key Laboratory of Software Development Environment, Beihang University, Beijing, China5
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland5
Technical University of Cluj-Napoca, Computer Science Department, Romania5
Imperial College London, London, United Kingdom5
Northeastern University, Shenyang, China5
Technical University of Cluj-Napoca, Department of Communication, C. Daicoviciu 15, Cluj-Napoca, Romania5
Ocean University of China, Department of Educational Technology, Qingdao, China5
Department of Computer Science, Technical University of Cluj-Napoca, Romania5
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea5
Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea5
School of Information Technology and Electrical Engineering, The University of Queensland, Australia5
Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea5
Tokyo Institute of Technology, Tokyo, Japan5
University of California, Merced5
College of Information Engineering China Jiliang University, Hangzhou, China 3100185
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA5
Yonsei University, Seoul, South Korea5
Department of Computing, Imperial College London, London, Unithed Kingdom5
International Computer Institute, Ege University, Izmir, Turkey5
Cummins College of Engineering for Women5
Shandong University, School of Information Science and Engineering, Jinan, China5
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China5
CVLab, EPFL, Lausanne, Switzerland5
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)5
Stony Brook University5
Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS5
College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China5
Max Planck Institute for Informatics, Germany5
Artificial Vision Laboratory, National Taiwan University of Science and Technology, Taipei, Taiwan5
Rensselaer Polytechnic Institute, USA5
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan5
Michigan State University, East Lansing, MI, USA5
Department of Computer Science & Engineering, The Ohio State University, OH5
Tsinghua National Laboratory for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China5
Department of Electrical Engineering, University of California, Riverside5
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China5
Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná, Curitiba, Brazil5
School of Electrical and Information Engineering, Tianjin University, Tianjin, China5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences5
Toronto Rehabilitation Institute, Toronto, Ontario, Canada5
Beihang University, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beijing, 100191, China5
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi 710049, China5
Department of Electrical and Computer Engineering, and CyLab Biometrics Center, Carnegie Mellon University, USA5
Computer Vision Center, CS Dept. Universitat Autonoma de Barcelona, Spain5
Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany5
Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, Zhejiang, P.R. China5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China5
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China5
University of Illinois at Urbana-Champaign, USA5
Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei, 0710005
UC Berkeley, USA5
Medical Image Computing (ESAT/PSI), Faculty of Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Herestraat 49 box 7003, Belgium5
Graduate School of Information Sciences, Tohoku University, Sendai, Japan5
Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia5
Center for Behavioral Imaging and College of Computing, Georgia Institute of Technology, Atlanta, GA5
Google, California, United States5
PARC, Palo Alto, CA, USA5
Xiamen University of Technology, Xiamen, China5
Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 1386325
Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece5
State Key Laboratory of Software Engineering, School of Computer, Wuhan University5
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia5
University of Michigan, USA5
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China5
MIT Lincoln Laboratory, Lexington, MA, USA5
University of California, Irvine, Irvine, USA5
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi,, 6204, Bangladesh5
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA5
Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA5
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA5
Computer Science and Technology Department, Tsinghua University, Beijing, China5
National Engineering Research Center on Multimedia Software, School of Computer, Wuhan University, Wuhan, China5
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin 150080, China5
Ryerson Multimedia Laboratory, Ryerson University, Toronto, Canada5
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand5
University of Nottingham, UK5
Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada5
Disney Research, UK5
Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany5
Computer Vision and Image Processing Laboratory (CVIP), University of Louisville, Louisville, KY, 402925
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore5
School of Electronic Information, Wuhan University, 430079, China5
CTA, Gdańsk, Poland5
Institute of Intelligent System and Decision, Wenzhou University, China, 3250355
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, China5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada5
Institute of Measurement and Control, Karlsruhe Institute of Technology, Karlsruhe, Germany5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan5
University of Massachusetts Amherst5
University of Alberta, Canada5
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA5
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia5
K.U. Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images at the Medical Imaging Research Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium5
National Tsing Hua University, Hsinchu, Taiwan5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China5
Institute for Neural Computation, University of Bochum, Germany5
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
University of Malaya, Kuala Lumpur, Malaysia5
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore, Singapore5
Centre for Intelligent Systems Research Deakin University, Australia5
Alibaba Group, Hangzhou, China5
Department of Control Science and Engineering, Shandong University, Jinan, 250061, China5
Department of Computer Science Engineering, Rajshahi University of Engineering Technology, Rajshahi, 6204, Bangladesh5
Department of Computer and Information Sciences, Temple University, Philadelphia, 19122, PA5
Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan5
Chonnam National University, Gwangju, Korea5
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China5
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia5
National Engineering Lab for Video Technology, Key Lab of Machine Perception(MoE), School of EECS, Peking University, Beijing, China5
Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, 2 George St., Brisbane, 4001, Australia5
Intel Labs5
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA5
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana USA5
University of Sheffield, Sheffield, United Kingdom5
Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 3820075
Department of Computer Science, Mangalore University, Mangalore, Karnataka, India5
Harada/Ushiku Lab., Graduate School of Information Science and Technology, The University of Tokyo5
Affectiva Inc., Waltham, MA, USA5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-8525
Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA5
National University of Singapore5
Discovery Analytics Center, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States5
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA5
School of Software Technology, Dalian University of Technology, China5
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada5
University College London, London5
University of Illinois at Chicago, Chicago, Illinois, USA5
University of Florence, Florence, Italy5
Fujitsu Laboratories Limited, Kanagawa, Japan5
Sun Yat-Sen University, Guangzhou 510006, China5
Department of Computer and Information Science, University of Macau, Taipa, Macau5
Inst. of Comput. Technol., Chinese Acad. of Sci., China5
Huawei Technologies, Beijing, China5
MIMOS Berhad, Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia5
School of Internet of Things Engineering, Jiangnan University, Wuxi, China5
Electronics and Telecommunications Research Institute, Korea5
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India5
TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India5
Robotics and Perception Group, University of Zurich, Switzerland5
Beijing Institute of Technology, Beijing, 100081, China5
National Research University Higher School of Economics, Moscow, Russia5
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China5
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany5
University of Houston, Houston5
University of Tübingen, Germany5
IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA5
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA5
University of Delaware, Newark, DE, USA5
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China5
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 212185
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada5
San Diego State University, San Diego, CA, USA5
Brown University5
City University of Hong Kong, Hong Kong, Hong Kong5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, 48109, USA5
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Massachusetts Institute of Technology, USA5
Universidade Nova de Lisboa, Caparica, Portugal5
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China5
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown WV 26506, USA5
Microsoft Res. Asia, Beijing, China5
TU Darmstadt5
Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA5
School of Automation, Wuhan University of Technology, Wuhan, China5
Department of Computer Science, University College London, UK5
Information Engineering College, Henan University of Science and Technology, Luoyang, China5
School of Resource and Environmental Sciences, Wuhan University, Wuhan, China5
Cognitive Science Department, Xiamen University, Xiamen, China5
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil5
Zhejiang University & Alibaba Group, Hangzhou, China5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
GIPSA-Lab, Grenoble Institute of Technology, France5
Measurement and Information Systems, Warsaw University of Technology, Institute of Theory of Electrical Engineering, ul. Koszykowa 75, Warszawa, 00-662, Poland5
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam5
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia5
New York University, New York City, NY, USA5
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China5
Ghent University, Belgium5
GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco5
School of Electronic Information, Wuhan University, 430072, China5
School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China5
Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey5
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, P.R. China5
Nokia Research Center, Beijing5
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia5
State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China5
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Tunisia5
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China 4100735
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China5
Bahcesehir University, Istanbul, Turkey5
Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing, China5
Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain5
University of Toronto5
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia5
School of Computer Science and Technology, Tianjin University, Tianjin, 300350, China5
Department of Computer Science, University of Illinois at Urbana-Champaign5
Department of Computer Science and Technology, Tongji University, Shanghai, China5
IIIT Hyderabad, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan5
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA5
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA5
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, Australia5
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China5
Changchun institute of optical precision machinery and physics, Chinese academy of sciences, CAS, Changchun, China5
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China5
Department of Computer Science, University of Oxford5
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China5
Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany5
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China5
University of Queensland, Brisbane, Australia5
School of Artificial Intelligence, Xidian University, Xi’an, China5
College of Computer and Information Science, Southwest University, Chongqing, China5
Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain5
The Australian Centre for Visual Technologies, The university of Adelaide4
University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia4
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731 Chengdu, Sichuan, China4
Delft University of Technology, Netherlands4
Xi'an Jiaotong University, School of Software Engineering, Xi'an, China4
University of the Western Cape, Bellville, Western Cape4
Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan4
Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France4
Google, Inc., Pittsburgh, PA, USA4
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, China4
Complutense University, Madrid, Spain4
Department of Information Science & Electronic Engineering, Zhejiang University, No. 38 Zheda Road, Hangzhou 310027, China4
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Dept. Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea4
Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada4
Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea4
Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, 200240, China4
Department of Electronic Engineering, Tsinghua University, Beijing, China 1000844
New York University, Brooklyn, NY, USA4
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China4
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea4
Electronic Systems Group, Eindhoven University of Technology, The Netherlands4
Robotics Research Center, Kohli Center on Intelligent Systems, IIIT Hyderabad, India4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China4
University of Chinese Academy of Sciences & CAS, Beijing, China4
Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada4
School of Computer Science, Cardiff University, Cardiff, U.K.4
National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China4
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K.4
Advanced Computing Research Laboratory, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
Intelligent Sensing and Communications Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.4
School of Computing, Informatics & Media, University of Bradford, Bradford City, UK4
Dyson Robotics Lab, Imperial College London4
Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, LANZHOU JIAOTONG UNIVERSITY, Lanzhou, Gansu Province, China4
Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea4
Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany4
College of Science, National University of Defense Technology, Changsha, China4
University of Portsmouth, United Kingdom4
University of Udine, Via Delle Scienze, Udine, Italy4
School of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, 130117, China4
Department of Telecommunication, Brno University of Technology, Czech Republic4
Otto-von-Guericke University Magdeburg, Neuro-Information Technology (NIT), Universitaetsplatz 2, Magdeburg, 391064
Department of Computer Science, NC State University, Raleigh, U.S.4
Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland4
École de technologie supérieure (ÉTS) Montreal, Canada4
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Informatics Institute, University of Amsterdam, Netherlands4
Australian Centre for Field Robotics, The University of Sydney, Sydney, NSW, Australia4
College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China4
Université de Lyon, CNRS, UMR5205, F-69622, France4
Department of Computer Engineering, K J Somaiya COE4
Department of Automation, Tsinghua University, Beijing 100084, China4
RWTH Aachen University, Visual Computing Institute4
University at Albany, State University of New York4
LITIS laboratory, INSA of ROUEN - University of Rouen, France4
Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic4
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China; Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China4
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Lishui Road 2199, Nanshan District, China 5180554
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India4
Department of Information Technology4
Department of Computer Science, Aalto University, Finland4
Université de Lyon, CNRS, UMR5205, F-69622, France4
National Laboratory of Pattern Recognition, Institute of Automations, Chinese Academy of Sciences, Beijing, China4
Signal & Information Processing Laboratory, Beijing University of Technology, China, 1001244
Wenzhou University, Wenzhou, China4
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
Federal University of Piauí, Teresina, Brazil4
Information and Communication engineering, Beijing University of Posts and Telecommunications, China, No.10 Xitucheng Road, Beijing, China4
Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 289334
Singapore and the ST Engineering, NTU Corporate Lab, Nanyang Technological University, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore4
Institute for Human-Machine Communication, Technische Universität München, Germany4
POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy4
Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt4
Department of Electrical Engineering, University of Windsor, ON, N9B3P4, Canada4
Department of Automation, University of Science and Technology of China, Anhui Hefei 230027, P. R. China4
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences4
Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia4
Information Technologies Institute, Centre for Research and Technology Hellas4
Robotics and Artificial Intelligence Lab, Indian Institute of Information Technology, Allahabad, 211012 (U.P), India4
The University of Chicago and Argonne National Laboratory, Chicago IL, USA4
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology4
Electrical and Computer Engineering Department, Clarkson University, Potsdam NY USA 136994
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China4
Intc®Movidius, Advanced Architectures Group4
Department of Electronics, Computer Sciences and Systems, University of Bologna, Cesena, Italy4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland4
Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ- 080284
LAPI, University Politehnica of Bucharest, Romania4
Hiroshima University, Hiroshima 739-8527, Japan4
School of Computer, Wuhan University, 430072, China4
Universidade Federal do Parana, Brazil4
Institute of Digital Media, School of EECS, Peking University, China4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France4
School of Electric and Electronic Engineering, Shanghai University of Engineering Science, Shanghai, China4
Graduate university of for Advanced Studies, Kanagawa, Japan4
Blekinge Institute of Technology, School of Engineering, Box 520, SE-372 25 Ronneby, Sweden4
Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel4
Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea4
RheinMain University of Applied Sciences, Wiesbaden, Germany4
Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain4
Haerbin Institue of Technology, Harbin, China4
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA4
Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia4
Institute of Systems and Robotics, Electrical and Computer Engineering Department, University of Coimbra, Portugal4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Sun Yat-Sen University4
Federal University of Technology–Paraná, Curitiba, Brazil4
School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China4
Shanghai University School of Communication and Information Engineering Shanghai, China4
Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, P. R. China4
Media Integration and Communication Center - MICC, University of Florence, Italy4
School of Computing and Information Systems, The University of Melbourne, Australia4
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, 09123, Italy4
Robotics and Computer Vision (RCV) Laboratory, Dep. of EE, KAIST, Daejeon, 305-701, Korea4
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China4
School of Electronics and Information Technique, Harbin Institute of Technology, No.92, West Da-Zhi Street, Heilongjiang, China4
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China 1001914
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, Guangdong, China4
Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel4
Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
University of Denver, Denver4
The Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia4
School of Computer Science and Engineering, Nanjing University of Science and Technology, 210094, China4
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, P.R. China4
Electrical and Computer Engineering, North Carolina State University, NCSU, Raleigh, North Carolina, USA4
Department of Information and Electronics, Graduate School of Engineering, Tottori University4
Department of Mathematics and Computer Science University of Basel4
School of Communication Engineering and the Kangni Mechanical and Electrical Institute, Nanjing Institute of Technology, Nanjing, China4
IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal4
LITIS laboratory4
Computer Science Department, University of Illinois at Urbana-Champaign, USA4
Department of Automation, University of Science and Technology of China, Hefei, Anhui, China4
KCIS, IIIT Hyderabad, Robotics Research Center, India4
Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA4
Department of Electrical Engineering, Indian Institute of Science, Bangalore4
Instituto Superior Tecnico , Lisbon, Portugal4
Vishwakarma Institute of Technology, Pune4
Sch. of Comput., Singapore Nat. Univ., Singapore4
IISIS, University of North Carolina Wilmington, 28403, USA4
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand4
School of electronic information and control engineering, Beijing University of Technology, China4
SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France4
Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE4
Electronics and Communication Engineering Department, Istanbul Technical University, 34469 Maslak, TURKEY4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
University of Tehran, Tehran, Iran4
Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science, Sun Yatsen University, Guangzhou, China4
Leibniz Universität, Hannover, Germany4
Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China, Huazhong University of Science and Technology, Wuhan, China4
Media Integration and Communication Center, Università degli Studi di Firenze, Firenze, 50134, Italy4
Graduate School of Informatics, Nagoya University, Aichi, Japan4
Graduate Shcool of Information Science, Nagoya University, Japan4
Division of Biomedical Engineering, University of Cape Town, South Africa4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R., Shannxi, China4
School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan, China, 4300734
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China 6117314
Intelligent Data Center and the Department of Mathematics, Sun Yat-sen University, Guangzhou, China4
Social Robotics Lab, Interactive Digital Media Institute, Department of Electrical and Computer Engineering, National University of Singapore, Singapore4
Wuhan Zhongyuan Huadian Science & Technology Co., Ltd., Wuhan, China4
Department of Electrical and Computer Engineering, Seoul National University4
Centre de Visió per Computador Universitat Autònoma de Barcelona4
LIMIARF, Faculty of Sciences, Mohammed V University in Rabat, Morocco4
Artificial Intelligence Institute, Zhejiang University Hangzhou, China4
Toyota Central R&D Labs., Inc., Japan4
Institute for Creative Technologies, University of Southern California, 12015 Waterfront Dr., Playa Vista, CA4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
School of Electronics and Computer Science, University of Southampton, UK.4
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an, P R China4
College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China4
Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-914054
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, Bratislava, 81219, Slovak Republic4
Department of Automation, with the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
IT Department, Mutah University, Karak, Jordan, 617104
Nanjing University of Posts and Telecommunications, 210046, China4
Institute for Advanced Computer Studies, University of Maryland, College Park4
Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil4
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA4
McMaster University, Hamilton, ON, Canada4
Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA4
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador4
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China4
Department of Automation, Tsinghua University4
Graduate School of Engineering, Mie University4
Department of Computer Science & Engineering, Centre for Computer Vision and Pattern Recognition, National Institute of Technology Rourkela, Rourkela, India4
School of Computer Science, University of the Witwatersrand, Johannesburg, South Africa4
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China4
Electrical and Computer Systems Engineering, School of Engineering, Monash University Malaysia, 46150 Selangor, Malaysia4
Seoul National University, Seoul, Korea4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Emotibot Inc., Taipei, Taiwan4
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain4
Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain4
Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China4
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China4
Boğaziçi University, Bebek, Istanbul, Turkey4
College of electronic and information engineer Changchun University of Science and Technology Changchun China4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China4
School of Computing, University of Leeds4
Graduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga, 525-8577 Japan4
LTCI, Télécom ParisTech, Université Paris-Saclay, 75013, France4
Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Zhejiang University, Hangzhou, 310027, P.R. China4
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA4
Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt4
School of Communication and Information Engineering, Shanghai University, China4
School of Computing 8 Info. Sciences, Florida International University, Miami, FL, USA4
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA4
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA4
Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina4
Faculty of Mathematics and Statistics, and Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China4
Peking University, National Engineering Laboratory for Video Technology, School of EE&CS, Beijing, China4
School of Mechatronics Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai (200072), China4
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH 44555.4
Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China4
Beijing Jiaotong University, School of Computer and Information Technology, Beijing, China4
Biometric Engineering Research Center, Yonsei University, Seoul, Korea4
University of Electronic Science and Technology of China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, South Korea4
Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA4
Department of Informatics, Aristotle university of Thessaloniki, Greece4
School of Electrical Engineering and Computer Science, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia4
Department of Computer Science and Engineering, Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering4
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology , Chinese Academy of Sciences, Beijing, China4
Moulay Ismail University, Faculty of Sciences and Techniques, Department of Computer Science, ASIA Team, M2I Laboratory, BP 509 Boutalamine 52000, Errachidia, Morocco4
London, United Kingdom4
Department of Electrical and Computer Engineering, Federal University of Technology-Paraná, Curitiba, Brazil4
Kyushu University, Faculty of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka-shi, 819-0395, Japan4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, People's Republic of China4
Video/Image Modeling and Synthesis Laboratory, Department of Computer and Information Sciences, University of Delaware, Newark, DE4
Jiangsu University, Zhenjiang, Jiangsu, China4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
Department Of Computer Science, City University of Science and Information Technology, Peshawar, Pakistan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China 1008764
The Electronic Engineering Department, Sogang University, Seoul, Korea4
Pennsylvania State University, University Park, PA, USA4
Key Lab of Optoelectronic Technology & Systems of Education Ministry, Chongqing University, China4
School of Cyber Security, Shanghai Jiao Tong University, Shanghai, China4
Streaming Lab, Shen Zhen Instituted of Information Technology4
Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran4
Image and Video Systems Lab, School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Computer Vision Center, Universitat Autònoma de Barcelona, Spain4
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China 2120134
Department of Computer Engineering, Khalifa University, UAE4
Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, P. R. China4
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia4
“Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Bejing, China4
LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania4
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China 2002414
Department of Computer Science and Engineering, Michigan State University, East Lansing MI 488244
U&P U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India4
Institute of Computer Science and Technology, Beijing, China4
Faculty of Engineering, Multimedia University, Cyberjaya 61000, Selangor, Malaysia4
Key Laboratory of System Control and Information Processing, Ministry of Education of China, School of Electron Information and Electrical Engineering, Shanghai Jiao Tong University, China, 2002404
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Key Laboratory of Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, Korea4
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland4
College of Computer Science, Zhejiang University, China4
Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, The Chinese University of Hong Kong, Hong Kong SAR4
School of Resource and Environment Sciences, Wuhan University, Wuhan, China4
Victoria University, Melbourne, Australia4
NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan4
sch. EECS, Peking University, Beijing, China4
Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn4
Department of Electronics and Communication Engineering4
Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea4
Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, China4
Naval Research Laboratory, Artificial Intelligence Center, Washington, DC 203754
Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China4
State Key Laboratory of Virtual Reality Technology and Systems, Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing, China4
Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation of China, Xidian University, Xi’an, China4
CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China4
Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, Korea4
College of Computer Science and Technology, Zhejiang University, China4
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA4
Nippon Telegraph and Telephone Corporation, Kanagawa, Japan4
Department of Electrical and Computer Engineering, The University of Texas at Austin, 2501 Speedway, Austin, TX, 78712, USA4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China4
Insight Centre for Data Analytics, Dublin City University, Ireland4
IIIT-Delhi, New Delhi, India4
Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland4
Department of Innovation Engineering, University of Salento, Lecce, Italy4
Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam4
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway4
Xerox Research Centre Europe, FRANCE4
Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil4
University of California, San Diego, USA4
imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001904
The University of Queensland, School of ITEE, QLD 4072, Australia4
DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France4
Nanyang Technological University, School of Electrical and Electronics Engineering, Singapore, 6397984
College of Electronic and Information Engineering, Hebei University, Baoding, China4
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA4
Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon-si, Korea4
NVIDIA, Santa Clara, CA4
Osaka university, Japan4
Willow Garage Inc., Menlo Park, CA, USA.4
Facultad de Ingeniería, Universidad Panamericana, Aguascalientes, Mexico4
Chair of Media Technology, TUM, Munich, Germany4
Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Corporate Research & Development Center, TOSHIBA Corporation, Japan4
School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW 2522, Australia4
IIIT, Delhi4
Information Research Institute of Shandong Academy of Sciences, Jinan, China4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology4
Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China4
University of Michigan, Ann Arbor, MI4
School of Communication and Information Engineering, BUPT, Beijing, China4
Nanjing University, Nanjing, Jiangsu, China4
School of Computer Science and Engineering, University of Electronic Science and Technology of China4
Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain4
Technical University of Berlin (TUB), Communication Systems Group, Germany4
Department of Computer Science, Swansea University, Swansea, UK4
Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China4
TU Darmstadt, Germany4
Human-Computer Communications Laboratory, Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, China4
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
Department of ECE, S.J.B Institute of Technology, Bangalore, India4
School of Information and Communication Engineering, Dailian University of Technology, Dalian, China4
The Hong Kong Polytechnic University, Hong Kong, Hong Kong4
College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China4
State Key Laboratory of Industrial Control Technology, Zhejiang University No. 38 Zheda Road, Hangzhou, China, 3100274
Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering, Tianjin University of Technology (TJUT), Tianjin, 300384, China4
National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China4
INSA Rennes CNRS IETR-UMR 6164, Univ Rennes, Rennes, F-35000, France4
Radboud University, Nijmegen, HR, The Netherlands4
School of Engineering, Universidad Autonoma de Madrid, Spain4
School of Aerospace Engineering, Man-Machine-Environment Engineering Institute, Tsinghua University, Beijing, China4
Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea4
College of Optical Science and Engineering, Zhejiang University, Hangzhou, China4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China4
Konkuk University, Seoul, South Korea4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Dalle Molle Instituite for Artificial Intelligence (IDSIA), Lugano, Switzerland4
Faculty of Science and Engineering, Waseda University, Tokyo, 162-0042, Japan4
Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 77 Massachusetts Ave., Cambridge, 02139-4307, USA4
College of Computer Science, Sichuan University, Chengdu, 610065, China4
Faculty of Information Science and Technology (FIST), Multimedia University, Melaka, Malaysia4
Multimedia Computing Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China4
Rutgers University, Piscataway4
Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany4
Center for Computer Vision and Department of Mathematics, SunYat-Sen (Zhongshan) University, Guangzhou 510275, China4
Graduate School at Shenzhen, Tsinghua University, Shenzhen Institute of Future Media Technology, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China4
Lancaster University, Lancaster, UK4
Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany4
Department of Information Engineering, The Chinese University of Hong Kong4
DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)4
College of Automotive Engineering, Kookmin University, Seoul, South Korea4
School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia4
CSIR-Central Scientific Instruments Organisation, Chandigarh, India4
Shandong University of Computer Science and Technology Jinan, China, 2501014
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran4
School of Computer Science and Technology, University of South China, Hunan, China4
Institute of Industrial Science, University of Tokyo, Tokyo, Japan4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany4
Dept. of Electronics, University of Alcalá, Spain4
Syracuse University, NY, USA4
School of Data and Computer Science, Sun Yat-Sen University, Guangdong, China4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan Province, China4
Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal4
Noblis, Bridgeport, WV, U.S.A.4
GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain4
Graduate School of Info. Sci., Nagoya University, Japan4
The Robotics Institute, Carnegie Mellon University, Pittsburgh, USA4
Dept of Computer Engineering, MIT College of Engineering4
Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Monastir, Tunisia4
Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain4
Fujitsu Laboratories Ltd., Kawasaki, Japan4
ETH Zürich, 8092 Zürich, Switzerland4
School of Computer, National Engineering Research Center for Multimedia Software, Wuhan University, China4
Jiangsu University, Zhenjiang, China4
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China 10008764
MIT Lincoln Laboratory4
Chubu University, 1200 Matsumoto cho, Kasugai, Aichi, Japan4
School of Computer Science & Engineering, Xi'an University of Technology, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
Northumbria University, Newcastle upon Tyne, United Kingdom4
IDSIA, USI/SUPSI, Lugano, Switzerland4
Department of Computer Science, Yonsei University, Seoul, Korea4
Department of Medical Biophysics, University of Western Ontario, London, ON, Canada4
Automation Department, Tsinghua University, Beijing, China4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China4
Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1, Nojihigashi, Kusatsu, Shiga, 525-8577, Japan4
Sch. of Electron. & Inf. Eng., Xi'an Jiaotong Univ., China4
School of Information Renmin University of China, Beijing, China4
ETH Zurich, Zurich, Switzerland4
STAR Technologies, A DSCI Company, Eatontown, NJ USA4
School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada4
Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea4
Center for Future Media, School of Computer Science and Engineering, University of Electronic Science and Technology, China4
Department of Electrical and Computer Engineering, University of Windsor, ON, N9B 3P4, Canada4
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jialuo Road, Jiading, Shanghai, P.R. CHINA4
College of Computer Science & Software Engineering, Shenzhen University, GuangDong, China4
Intelligent Assistive Technology and Systems Lab (IATSL), University of Toronto, Canada4
chool of Electrical Engineering, KAIST, Daejeon, 305-701, Korea4
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore4
Department of Electronic Engineering, Tsinghua University, Beijing, 1000844
Vienna University of Technology, Vienna, Austria4
Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand4
Youngstown State University, USA4
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, 4300734
Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy4
University of Mannheim, Mannheim, Germany4
School of Automation, Beijing Institute of Technology, Haidian 100081, China4
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China4
Department of Computer Science, Cork Insititute of Technology, Cork City, Ireland, Michael4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Dept. of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan4
Graduate School of Engineering, Mie University, Tsu, Mie, Japan4
Indian Statistical Institute, Kolkata, India4
School of Computer Science and Engineering, Xi'an University of Technology, China4
University of Salzburg, Department of Computer Sciences, 5020 Salzburg4
Tsinghua National Lab for Info. Sci. & Tech. (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China, 1000844
NERCMS, School of Computer, Wuhan University, China4
Department of Computer Science, Western University, London, ON, N6A 5B7, Canada4
Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia4
Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA4
Dept. of Brain and Cognitive Engineering, Korea University, Seoul, Korea4
College of Information engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, 3100144
Contents Protection and Management Team, ETRI, Deajeon, KOREA4
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom4
Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Caoan Road 4800, Shanghai 201804, China4
Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea4
Visual Information Processing Laboratory/Shenzhen Key Laboratory of Science and Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China4
National Laboratory of Pattern Recognition, Institutaion of Automation of Chinese Academy of Sciences, Beijing, 100190, P.R. China4
Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy4
Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan4
Universidad Rey Juan Carlos, Spain4
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany4
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany4
Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India4
Global Big Data Technologies Centre, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia4
Computer Science and Engineering Dept., University of Nevada Reno, USA4
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105204
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China4
Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway4
Computer Science Department, Rutgers University, 110 Frelinghuysen Road Piscataway, NJ 08854 USA4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering and Computer Science Department, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea4
Advanced Imaging Engineering at Chung-Ang University4
University of North Carolina Wilmington4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
People's Public Security University of China, School of Information technology and Network Security, Bejing, China4
Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France4
Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA4
Computer Science, Colorado State University, Fort Collins, USA4
Department of Computer Science - University of Brasilia - Brazil4
National Key Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, 410073, China4
School of Mathematical Sciences, Dalian University of Technology, Dalian, China4
Zhejiang University, College of Computer Science, Hangzhou, P. R. China4
National University of Defense Technology (NUDT), Changsha, China4
Computer Science and Engineering, University of California, San Diego, La Jolla, California 920934
Philips Research, High Tech Campus 36, Eindhoven 5656 AE, The Netherlands4
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany4
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND4
UC Merced, USA4
Knowledge Technology, Department of Informatics, University of Hamburg, Vogt-Koelln-Str. 30, Hamburg, 22527, Germany4
SIANI - Universidad de Las Palmas de Gran Canaria, Spain4
School of Computer Science, Hangzhou Dianzi University, Hangzhou, China4
University of Alcalá, Alcalá de Henares, Spain4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China4
Université de Nantes, France, Nantes, France4
Institute of Information Science, Beijing JiaoTong University, Beijing 100044, P.R. China4
Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan4
Guangzhou, China4
Department of Computer Science, University of Toronto4
Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic4
Shenzhen Key Laboratory of Information Science and Technology, Shenzhen Engineering Laboratory of IS&DCP and the Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Beijing, China4
Nara Institute of Science and Technology4
Zhengzhou University, Zhengzhou 450000, P.R China4
Department of Electrical and Computer Engineering, University of Denver, Co, 80208, USA4
Department of Technology, Pompeu Fabra University, Barcelona, Spain4
University of Florence, Italy4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China4
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
University of Yamanashi, Kofu, Japan4
School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA4
Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Department of Computer Science and Engineering, Shanghai Jiao Tong University4
Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA4
School of Software Engineering, Chongqing University, China4
Department of Mathematics, Intelligent Data Center, Sun Yat-sen University, Guangzhou, China4
University of Massachusetts, Lowell, MA4
School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand4
ECE, VIT University, VIT, Chennai, India4
State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China4
School of Computer and information, Hefei University of Technology, Hefei, China4
Norwegian University of Science and Technology, Trondheim, Norway4
Dept. of Electrical and Computer Engineering, University of Dayton, OH 45469, USA4
University of Liverpool, School of Electrical Engineering Electronics and Computer Science4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Institude of Computer Science and Technology, Peking University, Beijing, China4
Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Queensland University of Technology, Australia, Queensland, Australia4
Tel-Aviv University4
College of Information and Communication Engineering, Sungkyunkwan University, 300 Chunchundong Jangangu Suwon, Korea4
Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA4
Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy4
Umm al Qura University, Makkah, Saudi Arabia4
National ICT Australia, Sydney, Australia4
INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France4
Northeastern University, Boston, USA4
Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia4
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 1100164
College of Computer Science, Zhejiang University, Hangzhou, China 3100274
Institute of Computing - University of Campinas - Campinas, Brazil4
Queen Mary, University of London, E1 4NS, UK4
School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China4
The school of Electronics Engineering & Computer Science, Peking University, Beijing, China4
Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea4
Pattern Recognition and Intelligent System Lab (PRIS) Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China4
Institute of Intelligence Information Processing, Xidian University, Xi¿an, China, 7100714
Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey4
Philips Research Laboratories, Eindhoven, The Netherlands4
University Of Michigan, Electrical Engineering and Computer Science, Ann Arbor, USA4
Corporate Research and Development Center, Toshiba Corporation, 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582, Japan4
University of of Modena and Reggio Emilia4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
Nanjing University of Information Science and Technology, Nanjing, China4
Dept. of Computer Science, Otago University, Dunedin, New Zealand4
School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology Guangxi Guilin, China4
Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea4
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy4
School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China4
RMIT University, Victoria 3083, Australia4
Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
Indiana University, Bloomington, IN4
School of Electric Information and Electronic Engineering, Shanghai Jiaotong University4
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China4
School of Engineering & Applied Science, Ahmedabad University, Gujarat, India 3800094
National Laboratory of Pattern Recognition, CASIA, Center for Research on Intelligent Perception and Computing, CASIA, Center for Excellence in Brain Science and Intelligence Technology, CAS, University of Chinese Academy of Sciences, Beijing, 100049, China4
Department of Electrical Engineering, Indian Institute of Technology, Patna, Bihar, India4
Visteon Corporation, Karlsruhe, Germany4
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China4
State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100080, China4
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China4
Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea4
Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand4
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China4
Seoul Nat'l Univ.4
Inter-university Semiconductor Research Center, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea4
University of California, Santa Barbara, Santa Barbara, CA, USA4
Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia4
AI Department, Ant Financial Services Group, Hangzhou, China4
Facebook Inc., Menlo Park, CA, USA4
Peking University, Beijing, P.R. China4
National Institute of Informatics, Japan4
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Weizmann Institute of Science4
Dept. of Informatics, University of Hamburg, Germany4
Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China4
Institute of Smart City Shanghai University, School of Communication and Information Engineering, Shanghai, China4
University Politehnica of Bucharest4
Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France4
Seoul National University4
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China4
Air Force Engineering University, Xi'an, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
University of Illinois at Urbana-Champaign, Urbana, USA4
Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, China4
dept. Automation of Tsinghua University, Beijing, China4
School of Computer Science and Telecommunication Engineering, Jiangsu University, ZhenJiang, Jiangsu, 212013, P. R. China4
UPMC Univ Paris 6, LIP6, 4 place Jussieu, 75005, France4
Institute for Human-Machine Communication, Technische Universität München, Germany4
college of Software Engineering, Tongji University4
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China4
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China4
Graduate Institute of Electronics Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan, R.O.C.4
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China4
University of Chinese Academy of Sciences4
School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom4
Jiangxi Normal University, Nanchang, China4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain4
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA4
CC Innovation in Intelligent Multimedia Sensor Networks, Lucerne University of Applied Sciences and Arts (HSLU), Lucerne, Switzerland4
School of Computer Science, Northwestern Polytechnical University, Xi’an, China4
School of Electronic and Information, South China University of Technology, Guangzhou 510660, China4
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye4
Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy4
College of Information Engineering, North China University of Technology, Beijing, China4
Computer Vision Center, Univ. Autònoma de Barcelona, Spain4
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA4
Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K.4
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea4
School of Information and Engineering, Wuyi University, Jiangmen, 529020, Guangdong, China4
West Virginia University, Morgantown, WV, USA4
Indraprastha Institute of Information Technology (IIIT), New Delhi, India4
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, CN, 2002404
Dept. of Computer Science, The University of Hong Kong, Hong Kong4
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea4
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK4
Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil4
Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea4
Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy4
Dirección General de la Guardia Civil - DGGC Madrid, Spain4
ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS) University of Sfax, Soukra street, Km 3.5, B.P. 1173, 3038 Sfax, Tunisia4
Noah's Ark Laboratory, Huawei Technologies Co., Ltd4
TAMS, Department of Informatics, University of Hamburg, Hamburg 22527, Germany4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
University of Electronic Science and Technology of China, Chengdu, Sichuan, 6117314
State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, 110016, China4
Computer Vision Centre Barcelona, Barcelona, Spain4
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China4
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia The University of Queensland, School of ITEE, QLD 4072, Australia4
Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, USA4
Inha University, South Korea4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Dept. of ECE & Digital Technology Center, University of Minnesota, USA4
Queensland University of Technology, Brisbane, QLD, Australia4
Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
College of Communication Engineering, Hangzhou Dianzi University, China4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, No.95 East Road of Zhongguancun, Beijing, China4
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, 150001, China4
Department of Computer Science, Washington University, Saint Louis, Missouri, 631304
Hewlett-Packard Laboratories, Hewlett-Packard Company, Palo Alto, CA, USA4
CSIR-Central Scientific Instruments Organisation, Chandigarh, 1600304
Dept. of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, Korea4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China4
Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico4
Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, Taganrog, Russia4
Department of Computer Science University of Rochester, NY 14627, USA4
Mathematic and Application Laboratory, FSTT, Tangier, Morocco4
NTT Software Innovation Center, Tokyo, Japan4
Universiti Sains Malaysia, Penang, Malaysia4
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, China4
Department of Electronics Engineering, Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan4
M S Ramaiah University of Applied Sciences, Bangalore, India4
National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China4
Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany4
Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain4
School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom4
École Polytechnique de Montréal, Montréal, QC, Canada4
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL4
University of Bologna4
Department of Computer Science and TechnologyState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China4
National Electronic and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani, Thailand, Tokyo Institute of Technology, Tokyo, Japan4
The University of Dayton, Dayton, OH 45469, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China4
Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China4
Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA4
Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece4
Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan4
Making Sense of Data Group, National ICT Australia and School of Computer Science and Engineering, The University of New South Wales, Australia4
University of Houston, Houston, TX, USA4
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei, Anhui, 230026, P.R. China4
Center for Automation Research, University of Maryland, College Park, USA4
Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai, 200240, PR China4
Sch. of Electron. & Comput. Sci., Southampton Univ., UK4
Dept of Computer Engineering, Kyung Hee University, Yongin-si, South Korea4
Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan4
George Mason University, Fairfax, Virginia4
College of Electronic Science, National University of Defense Technology, Changsha, China4
Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang, 110168, China4
University of Biskra, Biskra, Algeria4
Shanghai University, Shanghai, China4
Virginia Tech, Blacksburg, VA, USA4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
Department of Computer and Information Science, Temple University, Philadelphia, PA, USA4
School of Statistics, Capital University of Economics and Business, Beijing, China4
EEECS/ECIT, Queen’s University Belfast, Belfast, U.K.4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
Shenzhen VisuCA Key Lab / SIAT, Chinese Academy of Sciences, China4
CyLab Biometrics Center, Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, China4
Faculty of electrical engineering, University of Ljubljana, Slovenia4
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey4
Department of Information Management and Security, Korea University4
JOL WAVE Telecom Italia, Catania, Italy4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Faculty of Computer and Information Science, University of Ljubljana4
Dept. of Electron., Alcala Univ., Madrid, Spain4
University of Rennes 1, Rennes, France4
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan4
Face Aging Group, University of North Carolina, Wilmington, NC, USA4
University of Ljubljana4
Istanbul Technical University4
The Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
Northwestern University, Evanston, IL, USA4
Digital Optics Corporation, Bucharest, Romania4
Thales Research Departement, Thales Security Systems and Services, Osny, France4
School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA4
Seoul National University, Seoul, Rebublic of Korea4
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia4
School of Electronic and Information Engineering, Beihang University, Beijing Laboratory for General Aviation Technology, Beijing, 100191, P. R. China4
Samsung R&D Insitute India - Bangalore, India4
Technical University of Ostrava, FEECS, Department of Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic4
Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong4
Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, P.R. China4
Toyota Technological Institute at Chicago4
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China4
Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France4
Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE4
Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001904
Biometric Standards, Performance and Assurance Laboratory, Purdue University, Department of Technology, Leadership and Innovation, West Lafayette, IN, USA4
University of Illinois at Urbana-Champaign, 61801, USA4
Institute of Systems and Robotics (ISR), University of Coimbra, Portugal4
University of Electronic Science and Technology of China (UESTC), Chengdu, China4
School of Computer Science, Communication University of China, Beijing, 100024, China4
Carnegie Mellon University, Robotics Institute, Pittsburgh, Forbes Avenue 5000, PA, 15213, USA4
Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen4
College of Electronics and Information Engineering, Sichuan University, Chengdu, China4
ChaLearn, California, USA4
School of ITEE, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia4
University of Waterloo, Waterloo, Canada4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China4
Institute of VLSI Design, Zhejiang University, Hangzhou, China4
Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
EPFL, Lausanne4
Technische Universitat Muenchen, Garching bie Muenchen4
School of Electronic and Electrical Engineering, Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques, GT036001 Shanghai, China4
Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom4
Institute of Imaging and Computer Vision, RWTH Aachen University, 52056 Aachen, Germany4
National Laboratory of Pattern Recognition, CASIA, University of Chinese Academy of Sciences, Beijing, 100049, China4
ISIR, CNRS UMR 7222, Universite Pierre et Marie Curie, Paris4
Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan4
Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, Shanghai 200240, China4
School of Computing Sciences, University of East Anglia, Norwich, U.K.4
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 60094
University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, ON, Canada, M5S 3G44
Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China4
Institute of Mathematics and Statistics, University of São Paulo, Brazil4
Queen's University Belfast, Belfast4
Dept. of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra4
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China4
Communication Systems Group Technische Universita¨t Berlin4
Queensland University of Technology4
College of Computer Science and TechnologyZhejiang University4
SRI International, Menlo Park, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China4
School of Computer Science and Engineering, South China University of Technology, China4
School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt-Pakistan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 1008764
University College Dublin, Dublin, Ireland4
Department of Automation and Key Laboratory of China MOE for System Control and Information Processing, Shanghai Jiao Tong University4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University4
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, 27695-7911, USA4
Politecnico di Torino, DAUIN, Italy4
School of Engineering, RMIT University, Melbourne, Australia4
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam4
Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon4
I3B, Universitat Politècnica, Instituto de Investigación e Innovación en BioingenierÍa, de València Camino de Vera s/n, Valencia, 46022, Spain4
Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain4
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China4
Institute for Computer Graphics and Vision, Graz University of Technology, Austria4
Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, Korea4
Northeastern University, China4
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong4
ICT-ISVISION Joint R&D Lab. for Face Recognition, Beijing, China4
Intelligent Systems Lab, University Carlos III de Madrid, Leganés, Spain4
Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, 710049 P. R. China4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China4
Department of Computer Science and Electrical Engineering, University of Missouri at Kansas City, Kansas City, Missouri, 641104
School of Electrical Engineering and Automation, Anhui University, Hefei, China4
University of Otago, Dunedin, New Zealand4
LCSEE, West Virginia University, Morgantown, WV, USA4
AGT International, Darmstadt, Germany4
University of Texas at Austin4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Department of Electrical Engineering, University of Science and Technology, Tehran, Iran4
China University of Petroleum (East China), College of Computer & Communication Engineering, No. 66, Changjiang West Road, Huangdao District, Qingdao, China, 2665804
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan4
University College London4
School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shang Yuan Cun, Hai Dian District, China4
Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA4
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, 115 Taiwan4
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China4
Institute of Image Communication and Network Engineering, Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China, 2002404
Xidian University, Xi’an, China4
Department of Electrical Engineering, Jadavpur University, Kolkata, India4
Yonsei University, Seoul, Korea4
Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain4
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, 90089, USA4
University of California at Merced, USA4
Computer Vision Group, Friedrich Schiller University of Jena, Germany4
School of Electrical Engineering and Informatics, Institut Teknologi Bandung4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijng, China4
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China4
Beijing Institute of Technology, Beijing, China4
Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 145804
Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany4
Department of Electrical and Computer Engineering, University of Auckland4
University of Maryland, College Park, Maryland 20740 United States4
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China4
Dept. of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India4
University of Cambridge, Cambridge, United Kingdom4
Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Idiap Research Institute - CH-1920, Martigny, Switzerland4
Electrical and Computer Engineering Department, University of Nevada, Las Vegas, 89154, USA4
Max Planck Institute for Biological Cybernetics4
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, USA4
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, China4
The key laboratory of Integrated Microsystems, Shenzhen Graduate School, Peking University, China4
Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey4
National University of Defense Technology, Changsha, Hunan, China4
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, China, 4100734
Department of Computer Science and Technology, Ocean University of China, China4
South China Normal University, guangzhou, China4
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan4
Dept. of Inf. Technol., Turku Univ., Finland4
Graz University of Technology4
University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia4
Department of Electronics Engineering, Kookmin University, Seoul, Korea4
Heilongjiang University, Harbin, China4
Department of Electrical and Computer Engineering, Clemson University, SC 29634, USA4
Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany4
School of Electrical Engineering, Tel-Aviv University, Israel4
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney, Playa, Havana, Cuba4
Çoğulortam İşaret İşleme ve Örüntü Tanıma Grubu, İstanbul Teknik Üniversitesi, İstanbul, Türkiye4
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India4
University of California, Berkeley, USA4
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China4
School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China4
Dalian University of Technology, Dalian, Liaoning, 116024, China4
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS4
University of Sydney, Australian Centre for Field Robotics (ACFR), NSW, Australia4
Dept. of Computer Engineering, Keimyung University, Daegu, Korea4
School of Computer Science, Fudan University4
School of Computer Science, Reykjavik University, Reykjavík, Iceland4
Department of Cognitive Science, Xiamen University, Xiamen, Fujian, China4
School of Computer Science, National University of Defense Technology, Changsha, China4
Shandong University, Jinan, China4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China4
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia4
Air Force Research Lab, USA4
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany4
DIEF, University of Modena and Reggio, Modena, 41125, Italy4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences4
Centre for Development of Advanced Computing, Mumbai, India4
EECS Department, University of Kansas, Lawrence, KS4
Department of Computer Science, University of Colorado at Colorado Springs4
AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine & School of Computer and Information, Hefei University of Technology, 230009, China4
Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China4
University of Malta, Msida, Malta4
The University of Western Australia, Crawley, WA, Australia4
Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan4
The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK4
Dept of Electrical and Computer Engineering, University of Calgary, Calgary, CANADA4
Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy4
School of Automation, China University of Geosciences, Wuhan, 430074, China4
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
School of Electronics and Information Engineering, Tongji University, Shanghai, China4
Institute of Artificial Intelligence and Robotics, Xi'an Jiantong University, Xi'an, China4
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China4
Department of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China4
USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 2300274
School of Mechatronic Engineering, UniMAP, Malaysia4
School of Electrical Engineering, Kookmin University, Seoul, Korea4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu 804-8550, Japan4
Smart Grid Energy Research Center (SMERC), University of California, Los Angeles, Los Angeles, California, USA4
Department of Computer Science and Information Engineering, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan4
Tsinghua University, Shenzhen, China4
LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco4
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea4
114
104
School of Engineering, RMIT University, Victoria 3083, Australia4
Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong4
Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, ISRAEL4
Department of Computer Science, Dartmouth College, Hanover, NH4
Ghent University, Ghent, Belgium4
Department of Computer Science, The University of North Carolina at Chapel Hill, USA4
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, Anhui, China4
State University of New York at Binghamton, Binghamton, NY4
Beijing Normal Univeristy, Beijing, China4
University of Southampton, Southampton, United Kingdom4
Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina Del Rey, 90292, USA4
College of Computer and Information, Hohai University, Nanjing, China4
Technische Universität Berlin, Germany4
Image Processing and Analysis Laboratory (LAPI), University “Politehnica” of Bucharest, Romania4
College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, China4
Shenzhen University, School of Computer Science and Software, Shenzhen, P.R. China4
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China4
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovakia4
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China4
Department of Engineering Science, University of Oxford, UK4
Department of Computer Engineering, Rochester Institute of Technology, NY, USA4
School of E.C.E., National Technical University of Athens, Greece4
The Image Processing and Analysis Lab, Politehnica University of Bucharest, Bucharest, Romania4
“Gheorghe Asachi” Technical University, Iaşi, Romania4
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China4
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, 100084, China4
Institute of Automation, Chinese Academy of Sciences, National Lab of Pattern Recognition4
Mechanical & Nuclear Engineering Department, Pennsylvania State University, University Park, 16802, USA4
Samsung Electronics, Korea4
College of Information System & Management, National University of Defense Technology, Changsha, China4
School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China4
Department of Electrical Engineering, Korea University, Anam-Dong, Sungbuk-Ku, Seoul, 136-713, Korea4
Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K4
Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia4
Dept. of CS&IT, Mirpur University of Science & Technology (MUST), Azad-Kashmir, Pakistan4
Beckman Institute, Uni. of Illinois at Urbana-Champaign, Urbana, 61801, USA4
Department of Information and Technology, University of Science and Technology of China, Hefei, China4
Dept. of Computer Science and Technology, State Key Lab. of Intelligent Technology and Systems, Tsinghua National Lab. for Information Science and Technology, Tsinghua University, Beijing, China4
College of Information Science and Technology Beijing Normal University, Beijing, China4
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.4
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia4
State Key Lab. LIESMARS, Wuhan University, 430079, China4
Da/Sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany4
University of São Paulo, São Carlos, Brazil4
Intelligent and Distributed Computing Laboratory, the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China4
The Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic4
Institute for Computer Research (University of Alicante).4
School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China4
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.4
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, ...4
Yunnan Normal University, College of Information Science, Kunming, China4
Center for Automation Research, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA4
Department of Electronic Engineering, Graduate school at Shenzhen, Tsinghua University, China4
Florida Atlantic University, I-SENSE4
Department of Electronic Engineering, the Chinese University of Hong KongHong Kong4
Department of Electronic and Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea4
Center for Cognitive Ubiquitous Computing (CUbiC) Arizona State University4
Harbin Institute of Technology Shenzhen Graduate School, China4
Saitama Institute of Technology, Kogakuin University, Japan4
Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia4
Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia4
Department of Computer Science, Stanford University4
IDIAP, Martigny, Switzerland4
Princeton University, USA4
LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada4
Shaanxi Provincial Key Laboratory of Speech & Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, P. R. China4
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana4
Philips Research, Eindhoven, Netherlands4
Computer Vision Laboratory, Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000, Slovenia4
School of Computer Science & Technology, Nanjing University of Science and Technology, China4
INRIA 2004 Route des Lucioles, BP 93,06902, Sophia Antipolis, France4
Center for Research in Intelligent Systems, University of California Riverside, 92521, US4
Department of Electronic Measuring systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia4
Chubu University, Kasugai, Aichi, Japan4
School of Computer Science and Software Engineering, The University of Western Australia 35 Stirling Highway, Crawley 6009, Western Australia, Australia4
Multimedia University, Melaka, Malaysia4
Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia4
School of Data and Computer Science, Sun Yat-sen University, China4
Department of Electronics Engineering, Graduate School at Shenzhen, Tsinghua University, China4
School of Electronic Engineering and Computer Science, Peking University, Beijing, China4
Korea University, School of Electrical Engineering, Seoul, Republic of Korea4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Tokyo Institute of Technology4
Department of Clinical, Educational & Health Psychology, University College London, London, Unithed Kingdom4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China4
KULeuven, Leuven, Belgium4
Control Methods & Robotics Lab, TU Darmstadt, Germany4
National University of Defense Technology University, College of Intelligent Science, Changsha, China4
Fujitsu Research & Development Center CO., LTD., Beijing, P. R. China4
Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland4
SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands4
INRIA Grenoble Rhone-Alpes, FRANCE4
NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical, University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu, Xi’an, 710072, China4
Department of Electrical Engineering, Indian Institute of Technology, Kanpur4
University of Oulu, Machine Vision Group, PO Box 4500, 90014, Finland4
School of Information Science & Engineering, Lanzhou University4
IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil4
Brigham Young University, Electrical and Computer Engineering, Provo, UT4
School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea4
Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France4
Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia4
Department of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan4
Vicarious Perception Technologies, Amsterdam, The Netherlands4
Fujian Provincial Key Laboratory for Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University Fujian, Fuzhou 350007, China4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China4
IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India4
LITIS Laboratory, INSA-Rouen, France4
University of Washington4
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China4
University of Pennsylvania, 3330, Walnut Street, USA4
College of Computer and Information, Hohai University, China4
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA4
The University of Texas at Dallas, Richardson, TX, USA4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK4
MIT, Cambridge, MA, USA4
IDIAP Research Institute, Martigny, Switzerland4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
Universiti Kuala Lumpur, Kuala Lumpur4
Departments of Computer Science, Electrical and Computer Engineering and Biomedical Engineering, University of Houston, USA4
Institute for Computer Graphics and Vision, TU Graz, Austria4
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China, 5106414
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand4
BIWI, ETH Zurich4
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
School of Computer Science, South China Normal University4
Department of Computer Science and Engineering, University of Nevada, Reno, USA4
IBM T. J. Watson Research Center, Hawthorne, NY, USA4
Learning Affect & Semantic Imaging Analysis Group, Indian Institute of Technology Ropar4
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia4
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. of Tech., Bangalore-560054, India4
Department of Communications Engineering, Feng Chia University, Taichung, Taiwan4
Department of Computer Science, Zhejiang University, Hangzhou, China4
Università degli Studi dell'Insubria, Varese, Italy4
University of Miami, Coral Gables, FL4
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey4
Univ. Orléans, INSA CVL, PRISME EA 4229, Bourges, France4
School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore4
School of Computer Science University of Hertfordshire United Kingdom4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic4
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia4
School of Information Engineering, Zhengzhou University, China4
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya (PENS), Kampus PENS, Jalan Raya ITS Sukolilo, Surabaya, 60111, Indonesia4
DII, University of Brescia, Brescia, Italy4
Army Research Laboratory, Computational and Information Sciences Directorate4
German Research Center for Artificial Intelligence, Kaiserslautern, Germany4
Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, Wireless Information Network Laboratory, University of Science and Technology of China, Hefei, China4
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China4
University of Chinese Academy of Sciences, School of Engineering Sciences4
University of Augsburg, Augsburg, Germany4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China4
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China4
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany4
College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan4
Institution of Intelligent Systems, College of Computer Science, Zhejiang University of Technology, Hangzhou, China4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
Graduate University, Chinese Academy of Sciences, Beijing, China4
Institute of Computing Techonology, Chinese Academy of Sciences, Beijing, China4
Sharp Laboratories of America, Camas, WA4
University of California, Los Angeles4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
Department of Electrical and Computer Engineering, Center for Automation Research, University of Maryland, College Park, USA4
Institute of Computer Science and Technology, Peking University, Beijing, China, 1008714
School of Communication and Information Engineering, Shanghai University4
Australian National University4
ISTI-CNR, Via G.Moruzzi, Italy4
College of Automation, Harbin Engineering University, 150001, China4
State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China4
State Key Laboratory of Robotics and System, Harbin Institute of Technology, China, 1500804
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan4
National Chiao Tung University, Hsinchu, Taiwan4
Department of Geography Information Science, School of Geography Science4
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia4
Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain4
National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 152014
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, Singapore4
Department of Electrical and Computer Engineering4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia4
College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia4
Department of Informatics, University of Oslo, Oslo, Norway4
University of São Paulo, São Paulo, Brazil4
School of Electronics, Electrical and Computer Engineering, University of Birmingham, Birmingham, U.K.4
North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, United States of America4
Microsoft AI & Research4
School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China4
Peking University, Beijing, P.R. China, 1008714
State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control and the Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou, China4
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany4
Department of Computer Science, University of Verona, Italy4
The City College, City University of New York, New York, NY, USA4
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea4
School of Data Science and Software Engineering, Qing Dao University, Qingdao, China4
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea4
Aalborg University, Denmark4
Faculty Of Information Technology, Beijing University of Technology Beijing 100124, China4
Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France4
Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany4
Eindhoven University of Technology, Eindhoven, The Netherlands4
School of Communication & Information Engineering, Shanghai University, Shanghai, China4
Intel Labs, Hillsboro, Oregon, USA4
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, China4
Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil4
State University of New York at Binghamton, Binghamton, NY, USA4
CEA LIST, Gif-sur-Yvette, France4
University of California, Riverside, CA-92521, USA4
College of Engineering and Design, Hunan Normal University, Changsha, 4100814
Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France4
School of Information Engineering, University of Science and Technology Beijing, Beijing, China4
Faculty of Electrical Engineering, University of Ljubljana, Slovenia4
Faculty of Computer and Information Science, University of Ljubljana, Slovenia4
The University of Texas at Austin Austin, Texas, USA4
Graduate School of Information Science, Nagoya University, Nagoya, Aichi, Japan4
Computer Vision and Remote Sensing (CVRS) Lab, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, P.R. China4
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China4
University of Alberta, Edmonton, AB, Canada4
Department of Computer Science and Engineering, University of Notre Dame4
Research Center of Intelligent Transportation Systems, School of Engineering, Sun Yat-sen University, Guangzhou Guangdong 510006, China4
Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany4
Department of Computer Science, George Mason University, Fairfax, USA4
Nankai University, Tianjin, China4
Chongqing Key Laboratory of Software Theory & Technology, College of Computer Science, Chongqing University, China4
Microsoft Research, Redmond4
School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK4
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway4
University of Minnesota, Minneapolis4
Convergent SoC Research Center, Korea Electronics Technology Institute, #68 Yatap-dong, Bundang-gu, Seongnam-si, Republic of Korea4
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China4
University of Texas at Arlington, Arlington, TX4
Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi, China4
Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany4
Department of Computer Science, University of Northern British, Columbia Prince George, BC, Canada4
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA; U.S.A.4
Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan4
Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt4
Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao4
Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences4
School of Automation, Southeast University, Nanjing, China, 2100964
Intelligent Systems Lab, Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada4
VisionLab - Computer Vision Laboratory4
Accenture Technology Labs, Chicago, IL4
Department of Informatics, Aristotle University of Thessaloniki, BOX 451, 54124, Greece4
Goa University, India4
Microsoft Research Cambridge, UK4
Max Planck Institute for Informatics, Saarland Informatics Campus, Germany4
Multimedia University, Malaysia4
Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia4
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil4
College of Electrical Engineering and Computer Science, National Taiwan University, Taiwan4
The Courant Institute of Mathematical Sciences, New York University, 715 Broadway, 10003, USA4
College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China4
West Virginia University, USA4
Electrical and Information Engineering, Hunan University, Changsha, China4
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China4
Mathematical Modelling Research Group, Universidad EAFIT, Colombia4
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K.4
University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy4
University of Kaiserslautern, Kaiserslautern, Germany4
Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye4
University of Kentucky, USA4
Department of Computer Science, University of British Columbia, Vancouver, Canada4
CVSSP, FEPS, University of Surrey, Guildford, GU2 7XH, United Kingdom4
Interactive Media Lab, Keio University, Japan4
Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan4
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan4
Cornell Tech, USA4
Academia Sinica, Institute of Information Science, Taipei, Taiwan4
Image and Video Systems Lab, School of Electrical Engineering, KAIST, South Korea4
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China4
Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands4
Digital Imaging Research Centre, Kingston University, U.K.4
Stanford University, Stanford, CA4
Microsoft Research Cambridge, Cambridge, UK4
Center for Automation Research, University of Maryland, College Park, MD, USA4
MBRDNA, Sunnyvale, USA4
Faculty of Engineering, Shinshu University, Japan4
Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania4
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China4
Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA4
Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China4
University of California, Merced, CA4
Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A.4
Institute for Infocomm Research, A*STAR, Singapore4
Comnuter Science Department, Hong Kong Baptist University4
CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France4
University of Illinois Urbana-Champaign, Urbana, IL, USA4
Courant Institute of Mathematical Sciences, New York University, USA4
Department of Electrical Engineering, Rochester Institute of Technology, Rochester, NY4
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India4
Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China4
INRIA, Sophia Antipolis, France4
Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India4
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049 Madrid, Spain4
University of British Columbia, Vancouver, Canada4
School of Electrical Engineering, Korea University, Seoul, Korea4
Perception and Intelligence Lab, Department of Electrical and Computer Engineering, ASRI, Seoul National University, South Korea4
Faculty of Computer Science, University of Freiburg, Freiburg, Germany4
National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand4
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China4
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China, 1000444
Stanford University in the Computer Science department4
Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN4
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China4
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK4
Open Lab, School of Computing, University of Newcastle, Newcastle upon Tyne, U.K.4
School of Electronics Engineering and Computer Science, Peking University, Beijing, China4
Dept. of Cognitive Science, Xiamen University, Fujian, China, 3610054
Institute for Aerospace Studies, University of Toronto, Canada4
Department of Electronic Engineering; National Taiwan University of Science and Technology4
College of Mechatronic Engineering and Automation, National University of Defense Technology4
Department of Informatics, Aristotle University of Thessaloniki4
Media Integration and Communication Center - University of Florence, Italy4
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Google Brain4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China4
Auckland University of Technology, Auckland 1010 New Zealand4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
National Taiwan Normal University, Taipei, Taiwan Roc4
Robotics, Perception and Learning Lab, KTH Royal Institute of Technology, Stockholm, Sweden4
Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt4
Graduate School of Information Science, Nagoya University4
Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan4
School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China4
School of Electronic Engineering, Xidian University, Xian, China4
Department of Computer Science, The University of Liverpool, UK4
Department of Environment Perception, Daimler AG, Böblingen, Germany4
Department of Engineering, University of Perugia, Italy4
Department of Transportation Engineering, Beijing Institute of Technology, 100081, China4
Korea University4
Key Laboratory of Machine Perception, Peking University, Beijing, China4
School of EECS, Queen Mary University of London, UK4
VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain4
School of Computer Science and Technology, Zhejiang University, China4
Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China4
Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan4
Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany4
University of California, Santa Barbara4
Faculty of Computer Science, Universitas Indonesia, Indonesia4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan4
University of Missouri, Columbia, MO 652114
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China4
Bogazici University, Turkey4
Universidad de Vigo, Vigo4
Institute of Digital Media, School of Electronic Engineering and Computer Science, Peking University, Beijing, China4
Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain4
Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand4
Griffith University4
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
School of Electronic and Computer Engineering, Peking University4
Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA, USA4
Computer Science and Engineering Department, Amity University Uttar Pradesh, Noida, India4
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China4
Zenith Team, INRIA, LIRMM, Montpellier, France4
Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil4
Samsung R&D Institute, Bangalore, India4
School of Electronic & Information Engineering, South China University of Technology, China4
Yaroslavl State University, Yaroslavl, Russia4
Computer Human Interaction for Learning and Instruction (CHILI) Lab, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland4
Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway4
Aristotle University of Thessaloniki, Thessaloniki, Greece4
Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong4
Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA4
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China4
TSC Department, University of Vigo, Spain4
Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain4
Sapienza University of Rome, Rome, Italy4
Open University of Catalonia, Barcelona, Spain4
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing city, Jiangsu, China4
Computer Science and Engineering Department, University of South Florida, Tampa, FL, USA4
NICTA and Australian National University4
Dept. of Automation, Tsinghua University, 100084, Beijing, China4
La Trobe University, Australia4
Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China4
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany4
Chubu University, Japan4
Qingdao Academy of Intelligent Industries, 266109, China4
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China4
Center for Reasearch on Intelligent Perception and Computing, CASIA, China4
Hewlett Packard Labs4
University of Utah4
School of Computer Science, China University of Geosciences, Wuhan, China4
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences4
Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India4
State Key Laboratory for Software Engineering, Wuhan University, Wuhan, 430079, China4
Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India4
Advanced Digital Sciences Center, Singapore, Singapore4
Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA4
Johns Hopkins University, Baltimore, USA4
CNIT, Italy4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Center for Machine Vision and Signal Analysis (CMVS), Oulu, Finland4
ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France4
University of Trento4
Dept. of Signal Processing, Tampere University of Technology, Finland4
Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA4
National ICT Australia and UNSW, Sydney, Australia4
Institute for Creative Technologies, University of Southern California4
Toyota Central R&D Laboratories, Inc., Nagakute, Japan4
School of Computer Engineering, Nanyang Technological University, Singapore, 6397984
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China4
University of Southern California, Los Angeles, California4
School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China4
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea4
Department of Information and Software Engineering, University of Electronic Science and Technology of China, ChengDu, 610000, China4
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada4
Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence Beijing National Research Center for Information Science and Technology, BNRist Lab Tsinghua University, 100084, China4
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.4
School of Computer Science and Engineering, Beihang University, Beijing 100191, China4
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China4
Center for Interdisciplinary Information Science Research, Zhengzhou University, Zhengzhou, China4
Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece4
Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-357084
Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA4
Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan4
School of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, SEOUL, Republic of Korea4
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
Institute of Information Technology, University of Dhaka, Bangladesh4
School of Information Science and Engineering, Southeast University, Nanjing, 210096, P.R. China4
RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil4
School of Information and Engineering, Minzu University of China, Beijing 100081, China4
Massachusetts Institute of Technology, Cambridge4
School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China4
Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France4
College of Computer Studies, Silliman University, Philippines4
Department of Technology College of Engineering and Technology, Virginia State University, Petersburg, VA, USA4
Institute for Infocomm Research, Singapore, Singapore4
Indian Institute of Information Technology Chittoor, Sri City, A.P., India4
Communication Networks Institute (CNI) Dortmund University of Technology, Germany4
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China4
School of Artificial Intelligence, Xidian University, Xi'an, 710071, China4
Department of Computer Science, City University of Hong Kong, Hong Kong, China4
Carnegie Mellon University, The Robotics Institute, 5000 Forbes Avenue, Pittsburgh, PA, USA4
Department of Computer Science, Edge Hill University, Ormskirk, Lancashire, L39 4QP, UK4
School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India4
SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France4
College of Electronics & Information Engineering, Tongji University, Shanghai, 201804, China4
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan4
Institute of Cyber Intelligence Systems, National Research Nuclear University “MEPhI”, Moscow, Russia4
Massachusetts Institute of Technology, Cambridge, MA4
College of Automation, Harbin Engineering University, Harbin, 150001, China4
School of Information Science and Technology, University of Science and Technology of China, Hefei, China4
University of Southampton, UK4
Department of Electrical and Computer Engineering, George Mason University4
School of Electrical Engineering, KAIST, Daejeon, South Korea4
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, United Kingdom4
Sabancı Üniversitesi, Turkey4
Lawrence Livermore National Laboratory, Livermore, CA, USA4
Yahoo Labs, San Francisco, CA, USA4
Dept. Engineering Science, University of Oxford, Oxford Robotics Institute, UK4
University of Oxford, UK4
University of Colorado Boulder, Boulder, CO, USA4
Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria4
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China4
Department of Computer Science, University of York, York, UK4
Intelligent Sensing and Communications Research Group, Newcastle University, UK4
Media Integration and Communication Center - University of Florence4
Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA4
College of Information Science and Engineering, Northeastern University, Shenyang, China4
Hampshire, United Kingdom4
Computer Vision Lab, UMIACS, University of Maryland, College Park, College Park, 20740, USA4
School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland UK4
Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria4
University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA4
Technical University of Cluj-Napoca4
Department of Computer Science, Mangalore University, India4
IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil4
Leiden University, Leiden, Netherlands4
TNO, The Hague, Netherlands4
College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China4
Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal4
HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam4
Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland4
Delft University of Technology4
Computer Science Department, Reutlingen University, Cognitive Systems Group, Germany4
Department of Information Engineering, University of Brescia, Via Branze, 38 - 25123, Italy4
School of Software, Beijing Institute of Technology, Beijing, China4
Distributed and Collaborative Virtual Environments Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
Visual Computing Group, Microsoft Research Asia, Beijing, China4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
College of Computer, National University of Defense Technology, China3
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China3
Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangdong Engineering Research Center of Data Security and Privacy Preserving, College of Information Science and Technology, Jinan University, Guangzhou, China3
Institute of Computing, State University of Campinas, Campinas, Brazil3
Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn3
Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)3
University of Maryland College Park, MD, 207403
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain3
Leibniz Universität Hannover, Hanover, Germany3
Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia3
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, Wuhan 430072, China; Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan 430072, China; Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China3
Innovation Lab, Tata Consultancy Services, New Delhi, India 2013013
German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany3
Chubu University Aichi, Japan3
Jiangsu Province Key Laboratory on Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing, China3
Department of Computer Science, The University of Hong Kong, Hong Kong, P.R. China3
KTH Royal Institute of Technology, 100 44 Stockholm, Sweden3
Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Tao-Yuan, Taiwan3
Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR 7222, F-75005, Paris, France3
School of Automation, Southeast University, Nanjing, China and Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China3
Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, 768009, India3
Intel Corporation, Hillsboro, OR, USA3
CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
School of Computer Science and Software Engineering, The University of Western Australia, Australia3
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, Shanghai Key Laboratory of Digital Media Processing and Transmissions, Shanghai, China3
Face Aging Group, UNCW3
Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada3
Universidade Nova Lisboa, Monte de Caparica, Portugal3
Department of Computer and Information Sciences, University of Delaware, Newark, DE 19716, USA3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, 100191, Beijing, China3
Universidad del País Vasco (UPV-EHU), Donostia-San Sebastián, Spain3
Pattern Recognition and Intelligent Systems Laboratory, Beijing University of Posts and Telecommunications, Beijing, China3
Department of Computer Science, Graphic Era University, Dehradun, India3
Center of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia3
Politecnico di Torino, DAUIN, Torino, Italy3
The State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang Province, China3
Technische Universität München, Germany3
Department of Mathematics and Informatics, University of Florence, Florence, Italy3
Signals and Images Laboratory, University of USTOMB, Oran, Algeria3
Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China3
ModiFace Inc., Toronto, Canada3
Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Intel Corporation, Bangalore, India3
Intel Corporation, Nice, France3
School of Computer and Control Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China3
Department of Computer Science and Engineering, University of Bologna, Via Sacchi, 3- 47521, Cesena, Italy3
MIT, USA3
Valeo.3
Computer Science, Loughborough University, United Kingdom3
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, 21250, USA3
Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain3
Department of Informatics, Technische Universität München, München, Germany3
Universidade Nova Lisboa, Lisboa, Portugal3
Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India3
Department of Electrical and Computer EngineeringCyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
National University of Defense Technology3
State Key Laboratory on Intelligent Technology and Systems, TNList, Department of Automation, Tsinghua University, Beijing, China, 1000843
Institute of Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany3
Artificial Vision Laboratory, National Taiwan University of Science and Technology3
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China3
ECE Department, Learning and Vision Laboratory, National University of Singapore, Singapore3
Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia3
University of Texas at Arlington, Arlington, Texas3
Multimedia Lab, The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Canada3
Università di Firenze - Italy3
Vision for Robotics Lab, ETH Zurich, Switzerland3
Department of Media Technology, Linnaeus University, Vaxjo, Sweden3
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, The Netherlands3
E-Comm Research Lab, Infosys Limited, Bangalore, India3
Korea Advanced Institute of Science and Technology, School of Electrical Engineering, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea3
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China3
College of Engineering, Huaqiao University, Quanzhou, Fujian, China3
Robotics Research Center, International Institute of Information Technology, Hyderabad, India3
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan3
School of Electronic Engineering, Xidian University, Xian, Shaanxi, 710071, China3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
PARADISE Research laboratory, DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada3
PLA University of Science and Technology Nan Jing, China3
Rutgers, The State University of New Jersey, Piscataway, NJ, 088543
Microsoft Research Cambridge3
DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany3
School of Electrical and Computer Engineering, Shiraz University, Iran3
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences3
Istituto Italiano di Tecnologia (IIT) - Via Morego 30, 16163, Genova, Italy3
Honda Research Institute Europe, Offenbach, Germany3
School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China3
National Institutes of Health, Bethesda, Maryland 208923
College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, China3
Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
Department of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China3
Department of Computer Science, Computational Biomedicine Laboratory, University of Houston, Houston, TX, USA3
School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China3
Yunnan University, School of Software, Kunming, China3
Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus3
AEOP UNITE, Las Vegas, Nevada3
University of Nevada-Las Vegas, Las Vegas, Nevada3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
Department of Computer Science, University of Geneva, Switzerland3
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA3
Ghent University TELIN-IPI-IBBT, Sint-Pietersnieuwstraat 41, 9000, Belgium3
The State Key Laboratory of ISN, School of Electronic Engineering, Xidian University, Xi'an China3
STARS, INRIA Sophia-Antipolis, France3
FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany3
Hangzhou Dianzi University, School of Communication Engineering, Hangzhou, China3
School of Electronic Engineering / Center for Robotics / Center for Information in Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, USA3
Department of Computing, Curtin University, Perth WA, Australia3
SUNY Buffalo3
School of Engineering Technology, Purdue University, West Lafayette, IN, 47907, USA3
Harbin Institute of Technology, Harbin, P. R., 150001, China3
Department of Computer Science and Engineering, Michigan State University, East Lansing 48824, USA3
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan Province, China3
Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India-7810393
College of Automation, Nanjing University of Posts and Telecommunications, 210023, China3
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Universität Autònoma de Barcelona3
CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France3
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil3
Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt3
Wuhan Univeristy, Wuhan, China3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy3
Wisimage, Université Clermont-Auvergne3
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, P. R. China3
Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, Chinese Academy of Sciences, China3
Data Science Research Laboratories, NEC Corporation, Japan3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France3
Electronic and Electrical Engineering Department, University College London, London, U.K.3
Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A.3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
School of computer Science & Engineering, South China University of Technology, Guang Zhou, China3
School of Electrical Engineering, University of Belgrade, 11120 Belgrade, Serbia3
Research unit on Intelligent Control, design and Optimization of complex Systems (ICOS), University of Sfax, Sfax Engineering School3
Alibaba-Zhejiang University, Joint Research Institute of Frontier Technologies(AZFT), Zhejiang University, Hangzhou, 310027, China3
School of Life Sciences, University of Technology, Sydney, Australia3
Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea3
Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 123093
Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA3
Faculty of Mechanical, Maritime and Material Engineering BioRobotics Lab, Delft University of Technology, 2628 CD, The Netherlands3
The University of Newcastle, NSW, Australia3
Department of Industrial Systems Engineering and Management, Sembcorp-NUS Corporate Laboratory, Faculty of Engineering, National University of Singapore, Singapore3
EEIS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System3
PARADISE Research Lab, University of Ottawa, Canada3
Department of Telecommunication, Brno University of Technology, Brno, Czech Republic3
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa3
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA3
School of Computer and Information technology, Beijing Jiaotong University, China3
Institute of Information and Control, Nanjing University of Information Science and Technology3
Global Big Data Technologies Centre, University of Technology, Sydney, Australia3
University of Central Lancashire, Preston, U.K.3
iCV Research Group, Institute of Technology, University of Tartu, Estonia3
MIT Computer Science and Artificial Intelligence Laboratory, 32 Vassar Street, Cambridge, MA 021393
ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK3
Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China3
State Key Laboratory Integrated Services Networks, Xidian University, Xi’an, China3
Dept. of Control Science & Engineering, Tongji University, Shanghai, China3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast3
Department of Computer Science, The University of York, UK, YO10 5DD3
UCL Interaction Centre University, College London London, United Kingdom3
Mepco Schlenk Engineering College, Sivakasi, Virudhunagar, India3
Institute for Systems Biology, Seattle, WA, USA3
Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA3
Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil3
Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France3
Department of Computing, Curtin University, Perth WA 6102, Australia3
Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia, Genova, Italy3
Graduate School of Information, Production and systems, Waseda University, Fukuoka, Japan3
Research School of Engineering, Australian National University, Australia, NICTA, Canberra Research Laboratory, Australia3
Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea3
Department of Engineering Science, Active Vision Laboratory, University of Oxford, U.K.3
Department of Computer Science and Engineering, Seoul National University, Korea3
Computer Vision Lab., INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China3
Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco3
Electrical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011033
University of Aizu, Aizuwakamatsu, Japan3
Department of Automation, Xiamen University, Fujian Province, China, 3610053
Dept. of Electronic and Computer Engineering, National Taiwan University, Taipei, Taiwan3
Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany3
Institute of Software, Chinese Academy of Sciences, Beijing, China3
Department of System Cybernetics, Robotics Laboratory, Hiroshima University, Hiroshima, Japan3
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA3
Department of Automation, Transilvania University of Brasov, Romania 5000243
Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, P. R. China3
LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria3
Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye3
Department of Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA3
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 570013
Informatics Institute University of Amsterdam, Amsterdam3
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xian, China3
CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary3
Illinois Institute of Technology, Dept. of Electrical and Computer Engineering, USA3
Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea3
Gwangju Institute of Science and Technology, South Korea3
College of Information Science & Electronic Engineering, Zhejiang University, China3
College of Information and Control Engineering, China University of Petroleum(East China), Qingdao, China3
Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy3
The Australian Center for Visual Technologies, The University of Adelaide, Australia3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea 680-7493
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P.R. China3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, P. R. China3
Institute for Infocomm Research, 1 Fusionpolis Way, #21-01, Connexis Singapore 138632, Singapore3
Institute of Information Science, Beijing jiaotong University, Beijing, China3
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China3
Perception and Activity Understanding Group, Idiap Research Institute, Martigny, Switzerland3
University of Firenze, via S. Marta 3, 50139, Italy3
Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India3
Language Technology Institute, Carnegie Mellon University, USA3
Computer Vision Laboratory - ETH Zurich3
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea3
DISI, University of Trento, Italy3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy3
School of Electrical Engineering, Korea University, Seoul, Republic of Korea3
1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan3
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, New Zealand3
Department of Computer Science, Rutgers University, New Brunswick, NJ, USA3
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China3
Department of Computer Science, Xi'an Polytechnic University, China3
University of Texas at Arlington, 701 S. Nedderman Drive, TX 76013, USA3
Bosch Corporate Research, Stuttgart, Germany3
Indian Institute of Technology Kharagpur, Kharagpur, India - 7213023
Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan3
Compiègne University of Technology3
EPFL3
School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Shaanxi Province, China3
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia3
Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Visual Analysis of People, Aalborg University, Aalborg, Denmark3
Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco3
Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan3
The University of Texas at Arlington, 701 S Nedderman Drive, USA3
School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China3
Department of Computer Science, Zhejiang Normal University, China3
Department of Computer Science, Tomsk Polytechnic University (TPU), Tomsk, Russia3
Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 6397983
College of Computer Science, Inner Mongolia University, Hohhot, China3
Multimodal Information Area, GRADIANT, Spain3
Grasp Laboratory, University of Pennsylvania, USA3
Department of Electronic Engineering, School of Engineering, Sogang University, Seoul 04107, Korea3
University of Miami, Department of Electrical and Computer Engineering3
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China3
Indian Institute of Technology, Kharagpur3
Computer Engineering Department, Sharif University of Technology, Tehran, Iran, 14588896943
Department of automation, USTC, Hefei, China3
EElS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, 230026, China3
National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China3
Department of Computer and Information Sciences, University of Delaware, Newark, USA3
RITS Project-Team, INRIA Paris, Paris, France3
Xiamen University3
Cognitive Science department of Xiamen University, China3
CERTH-ITI, Thermi-Thessaloniki, Greece3
NTT Media Intelligence Laboratories, Tokyo, Japan3
Korea Advanced Institute of Science and Technology, School of Electrical Engineering3
Lab of Algorithm for Cognitive Model, School of Computer Science, Fudan University, Shanghai 200433, China3
Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan3
Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China3
Beijing National Research Center for Information Science and Technology (BNRist) Department of Electronic Engineering, Tsinghua University, Beijing, 100084, CHINA3
Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University3
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, 100190, China3
Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia3
Georgia Institute of Technology, Atlanta, 30332-0250, USA3
Laboratory Signals and Images LSI, USTO-MB, B.P. 1505 El Mnaouer, Oran, Algeria3
Information Sciences Institute, Marina Del Rey, CA, USA3
AIT Austrian Institute of Technology, Vienna, Austria3
Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy3
Morpho, Safran Group3
Siegwart are with the Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland3
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil3
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal3
Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria3
ADSPLAB/lntelligent Lab, School of ECE, Peking University, Shenzhen, 518055, China3
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China, 4100733
School of Mechanical Engineeringand and Automation, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China3
Rice University3
Laboratoire de vision et systèmes numériques, Département de génie électrique et de génie informatique, Université Laval, Québec, Canada3
Department of Computer Science, Tennessee State University3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
Intel China Research Center, Beijing, P. R. China3
IE, Chinese University, of Hong Kong, Hong Kong3
Dept. for Environment Perception, Daimler AG, Germany3
Department of Air Electrical Systems, University of Defence, Brno, Czech Republic3
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea3
Computational Vision Group, Department of Computer Science, University of Reading, UK3
School of Automation, Beijing Institute of Technology, Beijing, 100081, China3
Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France3
Jawaharlal Nehru University, New Delhi - India3
Biometrics Engineering Research Center, Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea3
Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea3
University of Delaware, Newark, 19716, USA3
Stony Brook University, Stony Brook, NY 11794, USA3
School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea3
INRIA Grenoble Rhone-Alpes, Grenoble, France3
Department of Computer Science, The University of York, Heslington, UK3
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, 400044, China3
Department of CSE, Amity University, Uttar Pradesh, Sector 125, Noida, India3
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
University of Southern California, Institute of Robotics and Intelligent Systems, USA3
Image and Video Research Lab, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, QLD 4001, Australia3
School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China3
Ecole Centrale de Lyon, LIRIS, Lyon, France3
University of Pennsylvania, Philadelphia, PA 19104, USA3
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain3
Kyushu University, Japan3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
School of Computer Science & Software Engineering, Shenzhen University, China3
The Green Building Materials and Manufacturing, Engineering Research Center of Ministry of Education, Wuhan University of Technology, 430070, China3
South China University of Technology, China3
Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, China3
Department of Electrical and Computer Engineering The University of Texas at Austin3
Hubino Computer Vision & Artificial Intelligence, R&D Lab, Hubino Technologies Private Limited, Chennai, India3
Shenzhen Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China3
School of Electrical Engineering VIT University Vellore, India 6320143
School of Electronic Engineering, University of Electronic Science and Technology of China, ChengDu, SiChuan, China3
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Spain3
United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA3
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070 China3
Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain3
Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia3
Dept. of Signals and Systems, Chalmers University of Technology, Gothenburg, SE-41296, Sweden3
Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France3
Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland3
UCLA, USA3
Inha University, Incheon, South Korea3
HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 5180553
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Vidyalankar Institute of Technology, Mumbai3
German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany3
Australian Centre for Field Robotics University of Sydney, 2006, Australia3
School of Computer Engineering, Nanyang Technological University3
Department of Computer ScienceFace Aging Group Research Laboratory, Institute for Interdisciplinary Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA3
Department of Mathematics, Duke University, U.S.A.3
Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China3
MOE Key Lab for Intelligent Networks and Network Security, School of Electonics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China3
Dept. of Automation Science and Engineering, South China University of Technology, Guangzhou, China3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, PR China3
Biometric Recognition Group—ATVS, Universidad Autonoma de Madrid, Madrid, Spain3
Polytechnique Montréal3
Department of Computer Science, Stanford University, California, USA3
Dipartimento di Ingegneria Industriale e dell'Informazione, Seconda Università degli Studi di Napoli, Aversa (CE), Italy3
Technical University of Iaşi, Faculty of Electrical Engineering3
Information Center of the General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China, Beijing, China3
IBM Research India3
Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China3
Norwegian Biometrics Laboratory, NTNU, Gjøvik, Norway3
Discover Lab, University of Ottawa, USA3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Department of Communications and Computer Engineering, University of Malta, Msida, Malta3
University of Oulu, Finland, Oulu, Finland3
Hardware and Embedded Systems Lab, Nanyang Technological University, Singapore3
Computer Science Department, USTHB, Algiers, Algeria3
MediaTek Inc., Hsinchu, Taiwan3
Center for Automation Research, UMIACS University of Maryland, College Park, MD 207423
Department of Computer Science and Engineering, University of Bologna, Cesena, Italy3
School of Computer Science & Software Engineering, The University of Western Australia3
Department of Telecommunications and SIX Research Centre, Brno University of Technology, Technicka 10, Brno, 61600, Czech Republic3
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovak Republic3
Universität Passau, Passau, Germany3
Computational Biomedicine Lab Department of Computer Science, University of Houston, TX 77396, USA3
Intelligent Systems Lab, University of Amsterdam, Science Park 904, Amsterdam, The Netherlands3
Institute for Human-Machine Communication Technische Universitat Munchen, Germany3
Centre for Quantum Computation & Information Systems, Faculty of Engineering and IT, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia3
Research Institute of Advanced Technology, Akita Prefectural R&D Center, 4-21 Sanuki, Arayamachi, 010-1623, Japan3
Samsung Research Center-Beijing, SAIT China Lab Beijing, China3
Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau3
College of Automation, Harbin Engineering University, Heilongjiang Province, 150001, China3
Dept. School of Information Science and Engineering, East China University of Science and Technology Shanghai, China3
LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France3
EURECOM Sophia Antipolis, France3
LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France3
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38, Hangzhou, 310027, China3
Computer Science Department, Technical University of Cluj-Napoca, Image Processing and Pattern Recognition Group, Romania3
Department of Electrical and Computer Engineering, American University of Kuwait3
GE Global Research3
Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa3
Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China3
National Laboratory Astana (NLA), 53 Kabanbay Batyr Avenue, Astana, Kazakhstan3
School of Science and Technology, Nazarbayev University, 53 Kabanbay Batyr Avenue, Astana, Kazakhstan3
Pohang University of Science and Technology, Pohang3
Machine Vision Group, Computer Science and Engineering Laboratory, University of Oulu, P.O. Box 4500, FI-90014, Oulu, Finland3
IntelliView Technologies Inc., Calgary, AB, Canada3
Department of ECE, Delhi Technological University, Delhi, India3
Department of Electrical and Computer Engineering, Mississippi State University, USA3
MindLAB Research Group, Universidad Nacional de Colombia, Colombia3
Dept. of Information Technology, Madras Institute of Technology, Anna University, Chennai, India3
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada3
National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan3
Guangdong University of Technology, China3
P.G. Department of Computer Science and Engineering, SGB Amravati University, Amravati (M.S.), India3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia3
Department of Computer Science, Vogt-Koelln-Strasse 30, 22527 Hamburg - Germany3
Department of Computer Engineering, Maharashtra Institute of Technology, Kothrud, Pune, India3
Carnegie Mellon University, Pittsburgh, PA 15213, USA3
University Ca' Foscari, Venezia Mestre, Italy3
Department of Computer Science, University of Massachusetts Amherst, Amherst MA, 010033
Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, 166 27 Prague 6, Technická 2 Czech Republic3
CSE, School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India3
Computer Laboratory, University of Cambridge, United Kingdom3
Indian Institute of Technology Delhi, New Delhi 1100163
Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK3
DISI, Università di Genova, Italy3
INRIA Rocquencourt, France3
Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada3
School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, China3
Idiap Research Institute, and the School of Electrical Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), Martigny, Switzerland3
Shenzhen Graduate School, Peking University, China3
Institute of Automotive Engineering, Jiangsu University, China3
Telecom ParisTech, France / University of Paris-Saclay, France3
Center for Research of E-life DIgital Technology (CREDIT), Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Computer Engineering, Kyung Hee University, Yongin, Gyonggi, Korea3
University of Adelaide, SA 5005 Australia3
Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea3
Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA3
Department of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania3
Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands3
Institute of Computational Science, University of Lugano, Switzerland3
Hanoi University of Science and Technology, Hanoi, Vietnam3
HKUST-DT System and Media Laboratory, Hong Kong University of Science and Technology, Hong Kong3
Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China, 510063
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea3
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA3
Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India3
Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China3
North Carolina A&T State University, Greensboro, NC3
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing and Communication, Infolab21, Lancaster University, LA1 4WA, United Kingdom3
School of Electrical Engineering, University of Ulsan, Republic of Korea3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
Istanbul Technical University, Computer Engineering Dept., 34469, Maslak, Turkey3
School of Microelectronics, Shanghai Jiao Tong University, Shanghai, China, 2002403
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
University of Missouri, Department of Electricall Engineering & Computer Science, USA3
School of physics and engineering, Sun Yat-Sen University, GuangZhou, China3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
University of Louisville, KY, USA3
British Malaysian Institute, Universiti Kuala Lumpur, Selangor3
Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
The School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India3
Faculty of Robot Science & Engineering, Northeastern University, Shenyang, 110819, China3
Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C3
School of Electronics and Information Engineering, Tianjin University, Tianjin, China3
State Key Laboratory of Software Development Environment, Department of Computer Science and Engineering, Beihang University, Beijing 1001913
Dept. of Computer Science, University of Calgary, AB, Canada3
Oak Ridge National Laboratory, USA3
Osaka University, Toshiba Corporation3
Center for Brains, Minds and Machines, McGovern Institute for Brain Research, MIT, Cambridge MA 02139, U.S.A.3
Computer Vision and Image Processing Laboratory (CVIP), University of Louisville, KY, 40292, USA3
Information and Communication Centre, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT, 2601, Australia3
Technicolor Research and Innovation, Cesson-Sévigné, France3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Beijing institute of technology, China3
Graduate School of Science and Technology, Kumamoto University, Japan3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
The University of Hong Kong, Hongkong, China3
Yonsei University, Seoul, Rebublic of Korea3
Mathematics and Statistics, UNC Wilmington, NC, United States3
LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco3
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 292083
Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria3
Computational Vision Group, School of Systems Engineering, University of Reading, UK3
Department of Electronics, University of Kent, Canterbury, UK CT2 7NT3
RWTH Aachen University, Germany3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy3
School of Software Engineering, Tongji University, Shanghai 201804, China3
University College London, London, United Kingdom3
Dept. of CS&E, IIT Madras, India3
School of Information Engineering, Xiangtan University, Xiangtan, 411105, China3
School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom3
Department of Computer Science, George Mason University, Fairfax, VA 22032, USA3
Department of Telecommunication Engineering, Beijing Information Science and Technology University, Beijing, China 1001013
University of Maryland, Baltimore County, Baltimore, MD, USA3
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, Indian Institute of Technology, Hyderabad, India3
Department of Electrical and Computer Engineering, University of Denver, CO, USA3
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Vietnam3
Institution of information Science, Beijing Jiaotong University, Beijing, China3
School of Automation, Southeast University, Nanjing 210096, China, Key Laboratory of Measurement and Control of CSE, Ministry of Education3
Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain3
Department of Computer Science, Rutgers University, NJ, USA3
CNRS, INSA-Lyon, LIRIS, UMR5205, Université de Lyon, F-69621, France3
IMAGO Research Group, Universidade Federal do Paraná, Curitiba, Brazil3
Harman International Industries, India3
Institute of Software, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100733
Department of Electrical and Computer Engineering, Biometric Technologies Laboratory, University of Calgary, 2500 University Drive NW, Alberta, T2N 1N4 Canada3
University of Houston, Texas3
Computer Vision and Image Processing Lab, Institute for Integrated and Intelligent Systems, Griffith University, Australia3
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology3
George Mason University, Fairfax, VA 22030, USA3
Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden3
Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia3
Department of Computer ScienceJohns Hopkins University3
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, USA3
University of Oulu: Finland, Oulu, Finland3
Institute of Space Science, Bucharest, ISS, Romania3
LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France3
Graduate Institute of Electrical Engineering, National Taiwan University, Taipei, Taiwan3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
Electronic Engineering Department, Tsinghua University, Beijing, China3
AltumView Systems Inc., Burnaby, BC, Canada3
Central China Normal University, Wuhan, China3
REsearch Groups on Intelligent Machines, University of Sfax, Soukra street, B.P. 1173, 3038, Sfax, Tunisia3
Department of Electrical Engineering & Electronics, University of Liverpool, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia3
School of optoelectronic science and engineering of UESTC, Chengdu3
Centre of Excellence IT4Innovations, Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic3
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China3
DISTA, University of Insubria, Varese, Italy3
GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS3
Graduate School of Information, Production and System, Waseda University, Japan3
Center of Informatics, Federal University of Pernambuco, Recife, Brazil3
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen3
Intelligent Embedded Systems Lab, University of Kassel, Kassel, Germany3
NICTA3
University of Waterloo, Waterloo, ON, Canada3
Key Laboratory of Measurement and Control of CSE, Southeast University, Nanjing, China3
Department of Electrical Engineering, Al Isra University, Jordan3
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China3
University of North Carolina, Charlotte3
Electrical Engineering Pennsylvania State University3
Electrical and Computer Engineering Johns Hopkins University3
Video Analytics Lab, SERC, Indian Institute of Science, Bangalore, India3
Computer Science Department, Central University of South Bihar3
Qatar Computing Research Institute, HBKU, Doha, Qatar3
IDIAP Res. Inst., Martigny, Switzerland3
IBM T.J. Watson Research Center, USA3
Institute of Systems Science, Northeastern University, Shenyang, Liaoning Province, China3
Certis Lab, ENPC ParisTech, France3
University of Miami, USA3
School of Computer Science and Technology, Nanjing Normal University, Nanjing 210046, China3
University of Toulouse, Toulouse, France3
Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia3
Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA3
Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Center for Research on Intelligent Perception and Computing3
University of Melbourne, Parkville, Australia3
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 379963
National Laboratory of Pattern Recognition & University of Chinese Academy of Sciences, Beijing, China3
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China3
Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 326013
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.3
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China3
Certis, Lab, ENPC ParisTech, France3
Australian National University (ANU), Australia3
School of Electrical and Computer Engineering, University of Seoul, Korea3
Samsung Research and Development Institute Bangalore Pvt Ltd., Bangalore, India3
Inst. of Autom., Shanghai Jiao Tong Univ., China3
Graduate School of Integrated Design Engineering, Keio University, Kanagawa, Japan3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
Department of Mechanical Engineering, Tsinghua University, Beijing, China3
Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain3
School of Computer Science and Technology, Nanjing University of Science and Technology, 210094, China3
Research Center of Intelligent Robotics Shanghai Jiao Tong University, Shanghai, 200240, P.R. China3
Automation Department, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
The University of Tennessee, Knoxville, Tennessee, 379963
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye3
Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador3
Cylab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China3
Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan3
GREYC, Universite of Caen, Caen, France3
Visualisation Group, University of Warwick, Coventry, UK3
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Instrumentation, IT and Systems Lab IRSEEM Rouen, FR3
Centre of Informatics, Federal University of Pernambuco, Recife-PE, Brazil. Bruno J. T. Fernandes is also with the Polytechnic School, University of Pernambuco, Brazil3
Graduate School of Information Science, Nagoya University, Aichi, Japan3
Shanxi University, Shanxi Province, China3
Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland3
Microsoft Corporation, Redmond, WA, USA3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of Electrical and Computer Engineering, Peking University, Beijing, China3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea3
Faculty of Engineering and Information Technology, University of Technology, Sydney3
Department of Engineering, University of Modena and Reggio Emilia, Modena, Italy3
Mie university, Mie, Japan3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA3
Computer Vision and Geometry Lab, ETH Zürich, Switzerland3
AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria3
Department of Electrical and Computer Engineering, Boston University, 8 Saint Mary's St., Boston, MA USA 022153
Dept. of Electrical and Computer Engineering, University of Dayton, OH, USA3
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA, USA3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
IT - Instituto de Telecomunicações, University of Beira Interior, Portugal3
College of Computer Science, Chongqing University, Chongqing, 400030, China3
Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA3
Thiagarajar College of Engineering, Madurai, Tamilnadu, India3
AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland3
Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia3
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania3
Center for Cognitive, Connected & Computational Imaging, College of Engineering & Informatics, NUI Galway, Ireland3
University of Tübingen, Tübingen, Germany3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
Computer Vision Lab, Sungkyunkwan University Suwon, South Korea3
Sapienza University of Rome3
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
ECSE Department, Rensselaer Polytechnic Institute, Troy, USA3
Chongqing University of Posts and Telecommunications Chongqing, China3
LIRIS, École Centrale de Lyon, UMR5205, F-69134, France3
Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile3
National Laboratory of Pattern Recognition, Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy3
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China3
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India3
Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany3
Department of Engineering Science, University of Toronto, Toronto, Canada3
Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia3
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Electrical Engineering, The City College, The City University of New York, NY, USA3
University of Insubria, Varese, Italy3
Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China3
Department of Information Technology, SSN College of Engineering, Chennai, India3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil3
Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Computer Science and Engineering, Beihang University, Beijing, China3
Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
University of California San Diego, United States of America3
Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland3
Department of Psychology, University of Pittsburgh, PA, 15260, USA3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China3
Department of Computer Science, University of Northern British Columbia, Canada3
Northwestern University, USA3
S.P.I.T., Mumbai3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA3
Temasek Laboratories, National University of Singapore, 117411 Singapore3
Imperial College London, London, U.K.3
Institute of Control and Information Engineering, Poznan University of Technology, Poznan, 60-9653
Faculty of Science and Technology University of Macau Macau SAR, China3
Universitat Heidelberg, Heidelberg, Germany3
Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain3
Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye3
NTT Communication Science Laboratories3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Robotics and Auto-Driving Laboratory, Baidu Research, Baidu, Beijing, China3
Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Department of Computer, Qaemshahr Branch, Islamic Azad University, Iran3
Digital Technology Center and the Department of Electrical and Computer Engineering, University of Minnesota, Minneapo-lis, MN, USA3
Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Unmanned System Institute, National University of Defense Technology, Changsha, China3
Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Oregon State University, Corvallis, OR 97331, USA3
School of Electrical Engg. & Comp. Science, National University of Sciences and Technology, Pakistan3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Daimler AG Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Halmstad Univ., Sweden3
Peking University, China / Shanghai Jiao Tong University, China3
School of Software, Jiangxi Normal University, Nanchang, China3
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124, Greece3
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China3
Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China3
CAS University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China3
Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain3
School of Electrical Engineering and Computer Science, DIVA Strategic Research Network, University of Ottawa, Ottawa, ON, Canada3
Department of Electronics, AGH University of Science and Technology, Kraków, Poland3
LEAR, INRIA Grenoble, LJK, France3
University of Luxembourg, Luxembourg3
Dept. of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, China3
Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA3
Federal University of Technology - Parana, Brazil3
University of Wollongong, Australia3
Automated Reasoning and Cognition Key Laboratory of Chongqing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Electronics, University Alcalá, Madrid, Spain3
Department of Computer Science, University of California, Los Angeles, CA, USA3
MPI Informatics, Saarbrücken3
Department of Measurement & Control, University of Kassel, Kassel, Germany3
Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan3
Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M83
The University of Auckland, Auckland, New Zealand3
Center for Biometric Authentication & Testing, Chinese Acad. of Sci., Beijing, China3
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA3
Department of Molecular, Cellular, and Developmental Biology, University of California Santa Barbara3
School of Electrical & Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-dong, Seodaemun-gu, Seoul, Republic of Korea, 120-7493
School of Computing, The University of Leeds, United Kingdom3
École Centrale de Lyon, Écully, France3
ETH Zürich3
Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye3
Victoria University of Wellington3
School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil3
Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering3
Adobe Research, San Jose, CA 95110, USA3
BMS College of Engineering, Bangalore, INDIA3
Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China3
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China3
Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
Wuhan University, China3
University of Jinan, Jinan City3
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, 330013, China3
National ICT Australia, Canberra, ACT, Australia3
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic3
Visual Analysis of People (VAP), Aalborg University, Rendsburggade 14, Denmark3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China3
Department of Radiation Oncology, Stanford University, Stanford, CA, USA3
Saarbrücken, Saarland, Germany3
College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000 Rouen, France3
Deniz Harp Okulu, Turkey3
School of Computer Science and Engineering, Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China3
C & C Innovation Research Labs, NEC Corporation, Nara, Japan3
Fuzhou University, Fuzhou, Fujian, China3
Mines-Télécom/Télécom Lille, CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
Dept. of Electrical and Computer Engineering, The Ohio State University, USA3
School of Mechanical and Automotive Engineering, South China University of Technology, GuangZhou, China3
Monash University3
Michigan State University, East Lansing, MI, U.S.A.3
Purdue University, West Lafayette, IN, U.S.A3
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, United Kingdom3
School of Automation, Northwestern Polytechnical University, Xi'an, China3
Institute of Imaging and Computer Vision, RWTH Aachen University, Templergraben 55, 52056, Aachen, Germany3
Electronics and Telecommunications Research Institute, Daejeon, South Korea3
State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100088, China3
School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, 100081, China3
Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA3
Robotics Research Center, IIIT Hyderabad3
School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China3
Computer Science, Duke University, USA3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, People’s Republic of China3
Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA3
Key Laboratory of Machine Perception (Ministry of Education), School of Electrical Engineering and Computer Science, Peking University, Beijing, China3
Key Lab of Intel. Inf. Proc, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
Autonomous University of the State of Mexico, Toluca, Mexico3
Southwest Jiaotong University, Chengdu, China3
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China, 6117313
School of Electronics and Computer Science, University of Southampton, UK3
Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy3
LiFAT (EA 6300), University of Tours, Tours, 37000, France3
Scientific Systems Company Inc. (SSCI), 500 W. Cummings Park, Suite 3000, Woburn, MA 01801-6562, USA3
Texas A8M University, TX, USA3
GRASP Lab, University of Pennsylvania, 3330 Walnut Street, 19104, Philadelphia, USA3
Research Concentration in Speech, Audio and Video Technology, School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Australia3
College of Information Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China3
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy3
Department of Electronics, University of Alcalá, Madrid, Spain3
Daimler AG, Research and Development. Ulm, Germany3
Institute for Infocomm Research, A∗STAR, Singapore3
Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland3
University of Freiburg, Freiburg, Germany3
School of Information Technologies, University of Sydney, Australia3
University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam3
IBM T. J. Watson Research, Yorktown Heights, NY, USA3
Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania3
ATR Key Laboratory, Shenzhen University, Shenzhen, China3
Department of Electrical Electronic engineering, Yonsei University, 50 Yonseiro, Seodaemungu, Seoul, South Korea3
Departament de Ciències de la Computació and the Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain3
ANU (Australian National University), Australia3
Institute for Network Sciences and Cyberspace (INSC), Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, China3
Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland3
Department of Computer Science, University of Brasilia, DF 70910-900 Brazil3
Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
DEIB, Politecnico di Milano, Italy3
School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan3
Beijing University of Posts and Telecommunications, No. 10, Xitucheng Road, Haidian District, Beijing, PR China3
School of Engineering, Griffith University, Nathan Campus, QLD 4111, Australia3
Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore3
Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany3
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing, China3
Computer Aided Medical Procedures, Technische Universität München, Germany3
Department of Computer Science and Technology, Harbin University of Science and Technology, China3
University of sciences of Monastir, Monastir, Tunisia3
2012 Labs, Huawei, Bangalore, India3
University of Derby, Derby, United Kingdom3
INRIA Rocquencourt, Le chesnay France3
Computer Science Department, Technical University of Cluj Napoca, Romania3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia3
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil3
Institution of information Science, Beijing Jiaotong University, Beijing 100044, P.R. China3
Dept. of Computer Science, U. of Southern California3
CRIPAC & NLPR, Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China3
University at Buffalo, The State University of New York, Buffalo, NY 14203, USA3
Machine Perception Laboratory, University of California San Diego, USA3
Department of Computer Science, Rutgers University, 617 Bowser Road, Piscataway, N.J, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia3
Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China3
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 4100733
West Virginia University, PO Box 6201, Morgantown, West Virginia 265063
College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China3
KULeuven, EAVISE3
Computer & Information Science Department, Temple University, Philadelphia, PA, USA3
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300133
Islamic Azad University, Karaj Branch, Computer Engineering Department, Daneshgah St, Rajaee Shahr, Iran3
Bioinformatics Institute, A∗STAR, Singapore3
Electrical-Electronics Engineering Department, Eskisehir Osmangazi University & Anadolu University, Eskisehir Osmangazi Universitesi, 26480, Turkey3
Department of Computer Science, University of Hamburg, Germany3
Department of Haematology, University of Cambridge, Cambridge, United Kingdom3
Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, CAS, Beijing 100190, China3
Environment Perception, Daimler R&D, Sindelfingen, Germany3
Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering3
Digital Media & Communications R&D Center, Samsung Electronics, Suwon, Korea3
Biometrics Engineering Research Center (BERC), Yonsei University, Seoul, South Korea3
Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil3
Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan3
Graduate School of Information Sciences, Tohoku University, 6-6-05., Aramaki Aza Aoba., Sendai-shi., 980-8579., Japan3
Department of Electrical Engineering, Duke University, USA3
PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France3
Beijing University of Posts and Telecommunications, Beijing, P.R. China, 1008763
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Guangdong 518055, China3
Ecole Polytechnique Fédérale de Lausanne, Lausanne3
School of Mechanical and Electric Engineering, Guangzhou University, China3
Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany3
Department of Computer Science, University of Southern California, Los Angeles, California 900893
School of Telecommunications Engineering, Xidian University, Xi’an, China3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
National University of Defense Technology, Hunan Changsha, China3
Computer & Vision Research Center / Department of ECE, The University of Texas at Austin3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Department of Information Science and Engineering, Changzhou University, Changzhou, China3
Department of Computer Engineering, University of Kashan, Iran3
Dept. of ECE, SVEC, Tirupati, AP3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia3
Purdue University, West Lafayette, IN, USA3
University of Girona, ATC, Girona, Spain3
Department of Computer ScienceMultimedia Processing Laboratory, National Tsing Hua University, Hsinchu, Taiwan3
School of Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, China3
Department of Electronic Engineering, Inha University, Republic of Korea3
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, India3
Texas State University-San Marcos3
Department of Electronic Science & Technology, School of Information Science & Technology, East China Normal University, No. 500, Dongchuan Road, Shanghai 200241, China3
Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia3
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 USA3
Institute for Human-Machine Communication, Technische Universität München3
CVIT, KCIS, IIIT Hyderabad, India3
Chief Technology Office, Wipro Technologies, Computer Vision Lab, Smart Machines Group, Bangalore, India3
Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea3
Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland3
Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, U.K.3
Indian Institute of Information Technology at Allahabad, Allahabad, India3
City University of New York, New York, NY, USA3
The University of Tokushima, 2-1 Minami Josanjima, Tokushima-city, Tokushima, Japan3
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China3
Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany3
Institute of Computer Science University of Goettingen, Data Fusion Group, Germany3
Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran3
Faculty of Information Technology, University of Technology, Sydney, Australia3
INRIA Grenoble Rhône-Alpes, Saint Ismier, France3
Stanford University, Palo Alto, CA, USA3
FZI Research Center for Information Technology, 76131 Karlsruhe, Germany3
University of Manchester, Manchester, United Kingdom3
Department of Electronic Engineering, Dalian University of Technology, 116023, China3
University of Technology Sydney, Centre for Autonomous Systems, 15 Broadway Ultimo, NSW 20073
Visual Analysis of People Laboratory, Aalborg University, Denmark3
NUDT, Science and Technology on Parallel and Distributed Laboratory, Changsha, 410073, China3
Dept. of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-21223
State Grid Shanxi Electric Power Research Institute, Taiyuan, China 0300013
The Chinese University of Hong Kong, Hong Kong SAR of China3
Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA3
Centre for Visual Information Technology, IIIT Hyderabad, Hyderabad, India3
CVSSP Group, Surrey Univ., Guildford, UK3
University of Pennsylvania3
Department of Electronic Engineering, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Beijing, 100084, China3
Department of Computer Engineering, Middle East Technical University, Ankara, Turkey3
US Army Research Laboratory, Adelphi, MD, 207833
Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece3
Department of Electronics and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan3
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, 40292, USA3
Department of Electrical and Computer Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran3
Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA3
The University of Buckingham, Buckingham, MK18 1EG, UK3
Multimedia and Information Security Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior, India, 4740153
Center for Signal & Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA3
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
School of Automation and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan, China3
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, Institute of Automation, CAS, Beijing, China3
The University of Hong Kong3
Northwestern Polytechnical University, Xi'an, 710072, China3
Department of Computer and Information Science, Temple University, Philadelphia, PA, 19122, USA3
Artificial Vision Lab., Dept Mechanical Engineering, National Taiwan University of Science and Technology3
Amity University Uttar Pradesh, Noida, India3
Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye3
School of Computer Science and Technology, Wuhan University of Science and Technology, Hubei, China3
Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden3
TTI Chicago3
Key Laboratory of System Control and Information Processing MOE, Department of Automation, Shanghai Jiao Tong University3
Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan3
Karlsruhe Institute of Technology, Institute for Anthropomatics, Germany3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK3
School of Automation, Southeast University, Nanjing, Jiangsu 210096, China3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan, 481283
Institute of Industrial Science The University of Tokyo, Tokyo, Japan3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia3
Faculty of Electrical Engineering and Computing, University of Zagreb3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, USA3
Electrical and Electronic Engineering Department, Imperial College London, SW7 2AZ, UK3
Dept. of Computer Vision and Cognitive Cybernetics, VNUHCM-University of Science, Ho Chi Minh City, Vietnam3
Center for Digital Media Computing, Software School, Xiamen University, Xiamen 361005, China3
Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy3
School of Computer Science, University of Manchester, United Kingdom3
College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China3
Instituto de Sistemas e Robótica, Lisbon, Portugal3
Eindhoven University of Techology, Human Technology Interaction, The Netherlands3
Kingston University London, Surrey, United Kingdom3
Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN3
The University of Western Australia, Crawley3
School of Information and Communication Engineering / Center for Robotics, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
EECS Department, Northwestern University, Evanston, IL, USA, 602083
School of Electronic & Computer Engineering, Shenzhen Graduate School, Peking University, China3
Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan3
Northwest Normal University, College of Physics and Electronic Engineering, Lanzhou, 730070, China3
Department of Computer Science, University of Central Florida, Orlando, 32816, United States of America3
Cisco Systems Inc. Innovation Labs San Jose, California3
Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy3
Wayne State University, Woodward Ave, Detroit, MI3
Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Beijing 100190, China3
GSCST Seoul National University, Department of Transdisciplinary Studies, Seoul, Republic of Korea3
School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China3
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University3
Southern Illinois University at Carbondale, Carbondale, IL3
School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand3
National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan3
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China3
Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA3
Department of Mathematics & Computer Science, Philipps-Universität Marburg, D-35032, Germany3
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, 90089, USA3
Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India 2476673
IRISA, University of Rennes 1, Rennes, France3
Disney Research Zurich3
IRSEEM, ESIGELEC, Rouen, France3
Nuremberg Institute of Technology Department of Computer Science3
School of Electronic and Information Engineering, Sun Yat-sen University, Guangzhou, China3
Multimedia Communication and Pattern Recognition Labs, Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan3
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs3
Orta Doğu Teknik Üniversitesi, Turkey3
University of St Andrews, St Andrews, UK3
Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil3
Department of Computer Science and Telecommunications, National Research University of Electronic Technology (MIET), Zelenograd, Russia3
Mercedes-Benz Research & Development North America, USA3
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China3
Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel3
Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China3
State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China3
Amrita e-Learning Research Lab (AERL), Amrita School of Engineering, Amritapuri, Amrita VishwaVidyapeetham, Amrita University, India3
University of Western Australia, Crawley, WA, Australia3
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, China and Collaborative Innovation Center of Geospatial Technology, Wuhan University, China and National Enginee ...3
King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia3
National Laboratory of Pattern Recognition, CASIA, Beijing, China3
Nanyang Technological University, Nanyang Avenue, Singapore3
Shanghai Jiaotong University, China3
Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University, Akita, Japan3
Signal and Communication Lab, University of Brescia, Italy3
Department of Electrical and Electronic Engineering, Auckland University of Technology, School of Engineering, Computer and Mathematical Sciences, Auckland, New Zealand3
UMIACS, University of Maryland, College Park, MD3
Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan3
Computer Science Department, University of Calgary, Calgary, AB, Canada3
SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan3
University of Verona, Strada le Grazie, Verona, Italy3
School of Engineering & Applied Sciences, Harvard University3
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)3
Indian Institute of Science, Bengaluru3
Information and media processing laboratories, NEC Corporation3
Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, 28 West Xianning Road, Xi'an, Shaanxi, 710049, China3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China3
School of Software, University of Technology Sydney, NSW 2007, Australia3
TU Berlin, Berlin, Germany3
Aarhus University, Aarhus, Denmark3
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea3
Department of Computer Vision and Multimodal Computing, Max-Planck Institute for Informatics, Saarbrücken, Germany3
Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia3
PARC, Palo Alto, CA3
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, United States3
Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain3
Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México3
Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain3
Institute of Intelligent Systems for Automation, Italian National Research Council, via Amendola 122 D/O, Bari, Italy3
School of Information Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China3
Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
School of Automation, Southeast University, Nanjing, People’s Republic of China3
Faculty of Computer Engineering, Iran University of Science and Technology3
School of Information Science and Technology, Donghua University, Shanghai, China3
Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt3
University of California San Diego3
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, wellington, 6140, New Zealand3
School of Information Technologies, The University of Sydney, NSW 2006, Australia, Sydney3
Xi’an Jiaotong University, Xi’an, China3
Kyung Hee University, South Korea, 1 Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-7013
Cognitive Science Department, Xiamen University, China3
IBM Research - Tokyo3
Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
MIT Media Lab, Cambridge, MA, USA3
Computer Vision and Geometry Group, Institute for Visual Computing, Computer Science Department, ETH Zürich, 8092, Switzerland3
Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany3
Department of Computer Science, University of British Columbia, Vancouver, BC, Canada3
School of Creative Technologies, University of Portsmouth, Portsmouth, POI 2DJ, UK3
The University of Electro-Communications, Japan3
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China3
Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea3
School of Engineering, RMIT University, Melbourne, 3000, Australia3
Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M83
Faculty of Engineering and Applied Science University of Regina Regina, Canada3
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési3
National Key Laboratory for Novel Software Technology, Nanjing University, 210093, China3
Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China3
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea3
Laboratoire LITIS - EA 4108, Universite de Rouen, 76800, FRANCE3
Desert Research Institute, Reno, USA3
NASA Ames Research Center, Moffett Field, USA3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China3
Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK3
Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA3
School of Engineering, Cranfield University, UK3
Department of Information Engineering, University of Firenze, Firenze, Italy3
University of Nottingham, Ningbo China3
Institut VEDECOM, Versailles, France3
Brno University of Technology, Faculty of Information Technology, Czech Republic3
Research Groups on Intelligent Machines, University of Sfax, BP 1173, Sfax 3038, Tunisia3
School of EEE, Nanyang Technological University, Singapore 6397983
Department of Informatics, Aristotle University of Thessaloniki, Informatics and Telematics Institute, CERTH, Greece3
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand3
University of California, Riverside, Riverside, CA3
Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China3
Autonomous Ground Vehicle Team, Indian Institute of Technology Kharagpur, WB, 721302, India3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA)3
Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK3
School of Computing, Clemson University, Clemson3
Computer Science and Engineering Department, University of Notre Dame, Notre Dame3
University of Southern California, Playa Vista, USA3
Ural Federal University, Yekaterinburg, Russia3
College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China3
Computer Science Department, Technical University Of Cluj-Napoca, Romania3
Open University of Israel3
Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O.Box 217 7500 AE Enschede, The Netherlands3
Computer Science Department, Technical University of Cluj-Napoca3
Department of Avionics, IIST, Trivandrum, India3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China3
Electrical and Computer Engineering Department, Semnan University Semnan, Iran3
Indian Institute of Technology Guwahati, Guwahati, India3
Computer Science Department, Boston University, Boston3
School of EECE, The University of Western Australia, 35 Stirling Highway, WA 6009, Australia3
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany3
School of Computing, Communications and Electronics, University of Plymouth, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Department of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China3
Faculty of Information Technology, Ho Chi Minh City University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam3
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa3
Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye3
Department of Engineering, University of Modena, Modena, Italy3
Department of Electronic and Electrical Engineering, University College London, UK3
Dept of Information Technology, Panimalar Institute of Technology3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, School of Software Engineering, Ministry of Education, Chongqing University, Chongqing, China3
Department of Computer Science, Pontificia Universidad Cato´lica de Chile3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China, 2000303
Department of Electrical and Computer Engineering, University of California at Riverside, Riverside, CA, USA3
Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey3
Fujitsu Laboratories, Kawasaki, Kanagawa, Japan3
Queen Mary University of London, Llrnperial College London3
Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France3
Department of Computer Engineering, Kyung Hee University, Seoul, South Korea3
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China3
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China3
Bilgisayar Mühendisliği, İstanbul Teknik Üniversitesi, İstanbul, Turkey3
Department of Electrical Engineering, National University of Kaohsiung, Taiwan, ROC3
Keio University, Yokohama, Kanagawa, Japan3
Queen Mary, University of London, London3
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, PIN: 208016, India3
Department of Electrical & Computer Engineering, National University of Singapore, Singapore 1175763
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Institute for Advanced Computer Studies, University of Maryland, College Park, MD, 207423
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Robert Gordon University, Aberdeen, United Kingdom3
Security Technology Department, Fraunhofer Institute for Production Systems and Design Technology IPK, Berlin, 10587, Germany3
Informatics Department, Aristotle University of Thessaloniki, Greece3
ADSPLAB/ELIP, School of ECE, Peking University, Shenzhen 518055, China3
Visual Analysis of People Lab, Aalborg University, Denmark3
University of Sassari, Computer Vision Laboratory, Palazzo del Pousalid, piazza Duomo 6, 07041 Alghero - Italy3
Department of Computer Science and Engineering, National Chung Hsing University, Taiwan3
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia3
Department of Computer and Information Science, King Mongkut's University of Technology North Bangkok, 10800, Thailand3
Idiap Research Institute, 1920 Martigny, Switzerland3
Faculty of Electrical Engineering, University of Ljubljana, Tr¿a¿ka 25, SI-1000, Slovenia3
School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China3
Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA3
Deir—University of Sassari, Sassari, Italy3
University of California San Diego, Institute of Neural Computation, La Jolla, A.B.D., USA3
Sabanc¿ Üniversitesi, Mühendislik ve Doga Bilimleri Fakültesi, Tuzla, ¿stanbul, Türkiye3
Aristotle University of Thessaloniki, Dept. of Informatics, Thessaloniki, 54124,Greece3
Program of Electrical Engineering, COPPE/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ CEP, Brazil3
Vidyalankar Institute of Technology, Mumbai, India3
Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan3
GLA University3
College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610065, China3
National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China3
Department of Computer and Systems Engineering, Carleton University, 1125 Colonel By Drive, Ottawa ON, K1S 5B6 Canada3
Dept. of Inf. Technol., Okayama Univ., Japan3
School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia3
Michigan State University, United States of America3
DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy3
University of Vigo3
LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay3
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China, 4300733
Department of Computer Science and Technology, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Beijng, China3
University Politehnica of Bucharest, Image Processing and Analysis Laboratory, LAPI3
Division of Graduate Studies, Tijuana Institute of Technology, México3
Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA3
UC Irvine3
University of Alabama3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand3
Cooperative Medianet Innovation Center, Shang hai Jiao Tong University, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 2151233
University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany3
Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China3
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea3
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, 100191, China3
Guangxi University, School of Computer, Electronics and Information, Nanning, China3
Centre for Medical Image Computing and the Department of Medical Physics and Bioengineering, University College London, London, U.K.3
Computer Vision Group, Friedrich Schiller University Jena3
Department of Electrical, Computer, Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA3
Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden3
Kumamoto Univ., Kumamoto3
Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia3
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China3
IDSIA, USI and SUPSI Galleria 2, 6928 Manno-Lugano, Switzerland3
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai Jiao Tong University, China3
Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, USA3
Department of Electronics, University of Alcalá, Alcalá de Henares, Spain3
Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India3
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, Surrey, UK3
Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China3
CVIP Lab, University of Louisville, Louisville, KY 40292. e-mail: ham@cvip.uofl.edu3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
School of Computer Science, Kookmin University, Seoul, Korea3
Center for Automation Research, University of Maryland, College Park, 20742, USA3
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong3
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China3
University of Canberra3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi province, 710049, China3
Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France3
University of Massachusetts, Amherst, USA3
Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea3
School of Computer Science, University of Lincoln, UK3
CERTH, Thermi-Thessaloniki, Greece3
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran3
Rochester Institute of Technology, Rochester, NY 14623, USA3
University of Surrey, UK3
College of Computer and Communication Engineering, China University of Petroleum, Dongying, China3
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK3
National Taiwan Normal University, Taipei, Taiwan3
Active Vision Lab, Department of Engineering Sciences, University of Oxford, UK3
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA3
George Mason University, Fairfax, VA, USA3
University of Salerno, Salerno, Italy3
Dept. of Electrical and Computer Engineering, University of Wisconsin - Madison, USA3
College of Electronic Information and Automation, Civil Aviation University of China, Tianjin3
School of Computing and Mathematics, Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland3
School of Computer Science and Information Technology, RMIT University, Melbourne, Australia3
Department of Computer Science and Engineering, University of Notre Dame, IN, USA3
Reconstruct & Expansion Project of Zhu-Xin Section of Henan Expressway Co. Ltd, Xinyang, China3
State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an, China,7100493
XiHua University, Cheng Du3
School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China3
Electrical and Information Engineering Department, Beijing jiaotong University3
University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA3
Inha University, Incheon, Korea3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
Kyung Hee University, Korea3
University school of Information and Communication technology, Guru Gobind Singh Indraprastha University, Dwarka, New-Delhi, India3
Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University3
Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece3
Skolkovo Institute of Science and Technology, Skolkovo, Moscow3
CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France3
Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP) and Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University, China3
School of Information Science and Technology, Xiamen University, Xiamen, 3610053
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Department of Computer Science, Colorado State University, Fort Collins, 80523, USA3
State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China3
Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China3
Expedia Group, Bellevue, WA, USA3
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh3
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 1001903
Huazhong Univ. of Sci.& Tech., China3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA3
Department of Artificial Intelligence, Universidad Veracruzana, Sebastián Camacho No. 5, Xalapa, 91000, Mexico3
Research Institute of Shenzhen, Wuhan University, Shenzhen, China3
Indian Institute of Technology, Guwahati, India3
Department of Electrical and Computer Engineering, Binghamton University, Binghamton, NY3
Shenzhen Key Lab. of Information Sci&Tech, Department of Electronics Engineering, Graduate School at Shenzhen, Tsinghua University, China3
Shanghai University3
Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden3
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, China3
Lehigh University, Bethlehem, USA3
Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China3
Department of Automation, National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Department of Information Technology on Human and Environmental Science, Kumamoto University, Chuo-Ku, Kumamoto, Kumamoto, Japan3
Applied Research Group, Satyam Computer Services Ltd, 3rd Floor, SID Building, IISc Campus, Bangalore - 12, India3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology, Wuhan University of Sciences and Technology Wuhan 430065, China3
Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy3
Le2i Laboratory, University of Burgundy, Le Creusot, France3
Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany3
Australian Centre for Field Robotics, The University of Sydney3
CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia3
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore3
University of Firenze, via S. Marta 3, 50139 Firenze, Italy3
Hitachi, Ltd., Tokyo, Japan3
School of Computer Science, The University of Nottingham, United Kingdom3
Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Electrical and Computer Engineering, Vision Laboratory, Old Dominion University, Norfolk, VA, USA3
Dept of Electrical and Computer Engineering, Tufts University, Medford, MA, USA3
Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA3
Department of Computer Science, Hong Kong Baptist University3
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico3
Simula Research Laboratory, Oslo, Norway3
College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China3
Department of Electrical Engineering, Indian Institute of Science3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, San Diego, CA, USA3
Center for Research in Computer Vision, University of Central Florida, Orlando, FL3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
Department of Electrical Engineering, Chang Gung University, Tao-Yuan, Taiwan3
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China3
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK3
Aoyama Gakuin University, Japan Sagamihara, Japan3
Multimodal Interactive Syst., Darmstadt, Germany3
Amrita E-Learning Research Lab (AERL), Amrita School of Engineering, Amritapuri, Amrita Vishwa Vidyapeetham, Amrita University, India3
Department of information, Beijing University of Technology, PingLeyuan3
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France3
National Taipei University of Technology3
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka3
Kakatiya Institute of Technology and Science (KITS), Warangal-15, INDIA3
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen, China3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Shanghai Advanced Research Institute, CAS, Shanghai, China3
School of Mathematics and Statistics, Yunnan University, Kumming, China3
Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia3
Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt3
Department of Electronic and Computer Engineering, National Taiwan university of Science and Technology, Taiwan R.O.C.3
Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt3
CES Research Unit, National Engineers School of Sfax, Sfax University, Tunisia3
IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France.3
Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain3
School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, China3
University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia3
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands3
Image Understanding Group, Daimler AG R&D, Stuttgart, Germany3
Department of Electronic and Computer Engineering, Brunei University, London, London, UK3
Tampere University of Technology, Korkeakoulunkatu 1, P.O.Box 553, 33101 Tampere Finland3
Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg D-39016 Magdeburg, P.O. Box 4210 Germany3
REGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Tunisia3
Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Malaysia3
Department of Computer Science, University College London, UK, WC1E 6BT3
School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China3
Research School of Engineering, Australian National University, Acton, ACT, Australia3
School of Mechanical and Electric Engineering, Soochow University, Suzhou Jiangsu, 215021, China3
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA3
Department of Computer Science, Pohang University of Science and Technology, Korea3
School of computer science, Harbin Institute of Technology, Harbin, China3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 190923
Department of Electrical Engineering, National Chung Hsing University, Taiwan3
Fac. of Inf. Technol., Multimedia Univ., Malaysia3
LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia3
University of Tsukuba, Tsukuba City, Ibaraki, Japan3
Department of Electronics and Electrical Engineering, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan3
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA3
School of Electrical Engineering, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea3
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia3
Guangzhou Power Electrical Technology Co., Ltd.,, Guangzhou, 510670, China3
Qingyuan Power Supply Bureau of Guangdong Power Grid Inc, Qingyuan, 511500, China3
Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, La Jolla, CA, USA3
Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada3
College of Computer Science and Technology, Xinjiang Normal University, Urumchi, 830054, China3
School of Information Technology, Deakin University, Geelong, VIC 3216, Australia3
Centre for Intelligent Sensing, Queen Mary University of London, Mile End Road, London E1 4NS, UK3
Computer Vision Center & Dept. Comp. Science, Universitat Autònoma de Barcelona, Cerdanyola, Spain3
University of California, San Diego, CA3
LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco3
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia3
Università degli Studi di Firenze, Firenze3
Vision & Sensing Group, HCC Lab, ESTeM, University of Canberra, Australia3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
Centre for Artificial Intelligence, University of Technology, School of Software, Sydney Ultimo, New South Wales, 2007, Australia3
National Engineering Research Center on Multimedia Software, Wuhan University, 430072, China3
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa3
Advanced Analytics Institute, University of Technology, Sydney, Australia3
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China3
Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain3
ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France3
Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil3
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39106, P.O. Box 4210 Germany3
Simula Research Laboratory, Norway3
Laboratory of Imaging Technologies, Department of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia3
Institute for Human-Machine Communication, TU München, Theresienstrae 90, 80333 München, Germany3
Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742 USA3
Department of Computer Science, Virginia Tech, Discovery Analytics Center3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Video Analytics Laboratory, SERC, Indian Institute of Science, Bangalore, India3
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai, China3
Harvard University3
Florida State University Department of Electrical end Computer Engineering, Tallahassee, 32310 USA3
Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology - Paraná (UTFPR), Curitiba, Paraná, Brazil3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, Nanjing, China3
Clarkson University, 8 Clarkson Ave, Potsdam, New York3
Research group GOTS, Universidad Industrial de Santander, Bucaramanga, Colombia3
University of Zaragoza, Spain3
College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China3
Shanghai Jiao Tong University, Shanghai, 200240, China3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
Mobile Robotics Group, Oxford University, UK3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Ltd., Pune, India3
School of Computer science and engineering, Wuhan Institute of Technology, Wuhan, China, 4300733
Dept. of Electronic & Electrical Engineering, University College London, London, U.K.3
Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden3
College of Communication Engineering, Chongqing University, Chongqing, China3
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China, 1001903
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China3
College of Information Engineering, Zhejiang University of Technology, Hangzhou, China3
School of Electronics and Communication Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China3
Hasso-Plattner-Institute, University of Potsdam, Potsdam, Germany3
Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States3
School of Electrical and Information Engineering, Shanghai University of Electric Power, China3
Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing 210096, China3
Kitware Inc., USA3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
Department of Computer Science, City University of Hong Kong, China3
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-01923
The Chinese University of Hong Kong, Hong Kong, China3
Department of Engineering Science, University of Oxford, United Kingdom3
School of Information Science and Engineering, Chengdu University, Chengdu, China3
Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea3
IT - Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal3
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida 336203
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia3
ECE Department, UIET, Panjab University, Chandigarh, India3
Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland3
Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland3
Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai-600044, India3
Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.3
GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye3
Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli, Tuzla, 34956, Istanbul, Turkey3
University of California, Berkeley, United States3
Department of Electrical Engineering, University of Washington (UW)3
Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France3
Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand3
Google, New York, NY, USA3
Video/Image Modeling and Synthesis Lab, Department of Computer and Information Sciences, University of Delaware, USA3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China3
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, NC 274113
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India - 2080163
Software school, Xiamen University, Xiamen, Fujian, China3
Visionlab, University of Antwerp3
University of Texas at Austin, Austin, USA3
Key Laboratory of Intellectual Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China3
ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia3
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China3
Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland3
Institute of Measurement and Control, Karlsruhe Institute of Technology, Germany3
Department of Electrical Engineering and Computer Science, UC Berkeley, Berkeley, CA3
Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha, Hunan, China3
Science and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha, Hunan, China3
Computer Science and Engineering, Arizona State University, Tempe, USA3
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China3
Key Laboratory of Machine Perception (Ministry of Education), Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
National Chung-Shan Institute of Science and Technology, Taiwan3
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia3
School of Control Science and Engineering, Shandong University, Jinan, Shandong, P. R. China3
Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany3
Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil3
Communication University of China, Beijing, 100024, China3
School of Computer Science and Technology, Nanjing Tech University, Nanjing, China3
University of Adelaide, Adelaide, Australia3
University of California, Riverside, USA3
University of Bath3
Multimedia and Intelligent Software Technology Beijing Municipal Key Lab., College of Computer Science, Beijing University of Technology Beijing, China.3
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
school of Electrical and Computer Engineering, Korea University, Seoul, Korea3
Artificial Intelligence and Information Analysis Lab/Department of Informatics, Aristotle University of Thessaloniki, University Campus, Agiou Dimitriou, 54124, Greece3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.3
School of Electronics and Computer Science, University of Southampton, UK, SO17 1BJ3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000, Slovenia3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea3
IBM Thomas J. Watson Research Center, Yorktown Heights, NY 105983
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA3
Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, 210096, China3
GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA3
Centre de Visió per Computador, Universitat Autònoma de Barcelona, Barcelona, Spain3
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway Street, Ultimo, NSW, Australia3
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics3
University of Edinburgh, Edinburgh, United Kingdom3
Centre for Intelligent Sensing, Queen Mary University of London3
New York University, New York, NY, USA3
Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
New Industry Creation Hatchery Center, Tohoku University, Aza-Aoba 6-6-10, Aramaki, Aoba-ku, Sendai 980-8579, Japan3
Science and Technology on ATR Laboratory, National University of Defense Technology, Changsha 410073, China3
L2TI, Université Paris 13, Sorbonne Paris Cité, France3
University of Udine, Via Scienze 208, 33100, Italy3
Department of Computer Science and Technology, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNLIST, Beijing, China3
Department of Informatics, University of Thessaloniki, 54124, Greece3
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, P. R. China3
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France3
CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia3
LARSyS, Instituto Superior Técnico, Universidade Lisboa, Institute for Systems and Robotics (ISR/IST), Portugal3
Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F.3
Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran3
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241, China3
Department Zhejiang University, Computer Science and Technology, Hangzhou, China3
Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genova, Italy3
State Key Laboratory of Industrial Control Technology, Zhejiang University3
National Institute of Technology Rourkela, Odisha-769008, India3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, Taiwan3
Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany3
TCS Research, New Delhi, India3
Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
University of North Carolina Wilmington, Wilmington, NC3
EURECOM, Multimedia Communications Dept., 2229 route des Cretes BP 193, 06904 Sophia Antipolis Cedex, France3
Center For Machine Vision Research, University of Oulu, Finland3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey3
Academy of Broadcasting Science, Beijing, China3
Eastman Kodak Company, Rochester, NY, USA3
Khalifa University3
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China3
University of Technology, Sydney3
Annamalai university, Annamalai nagar, India3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Institute of Automation, Chinese Academy of Sciences, Beijing3
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
University of Firenze3
School of Electronics and Computer Science, University of Southampton, Southampton, S017 1BJ, UK3
Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA3
ISLA, Informatics Institute, University of Amsterdam, Science Park 107, 1098 XG, The Netherlands3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences3
College of Information Science and Technology Beijing Normal University, Beijing Beijing, China3
School of Information Engineering, Xinjiang University, Urumuqi, China3
Dept. of Electrical Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa Genoa, Italy3
Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China3
Max-Planck-Institut für Informatik, Saarbrücken, Germany3
Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic3
School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China3
Département EPH, Telecom SudParis3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100190, China3
REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia3
State Grid Energy Research Institute, China3
Guanadong University of Technology, China3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal3
Computer & Information Science Department, Temple University, Philadelphia, PA, USA3
Massey University, Institute of Natural and Mathematical Sciences, Auckland, New Zealand3
Philips Research, Eindhoven, The Netherlands3
Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey3
University of Delaware, USA3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 77004, USA3
Computer Science Department, University of Sherbrooke, Sherbrooke, Canada3
Panasonic System Networks3
Information Technologies Institute, CERTH, Thermi-Thessaloniki, Greece3
The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong3
Dept. of Electronics & Electrical Engineering, IIT Guwahati, India3
Department of Computer Science, University of Calgary, Calgary, AB, Canada3
Queensland University of Technology, Brisbane, Australia, 40003
Department of Computer Science, University of Texas at San Antonio, TX, USA3
NICTA, Canberra3
Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain3
University of Science and Technology of China, Hefei, Anhui, CN3
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China3
Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand3
Zhejiang University3
Multimedia Laboratory, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada3
University of Sao Paulo3
Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA3
Université de Biskra, Biskra, Algeria3
Northwestern Polytechnical University, Xi'an, P. R. China3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xian, Shaanxi, China3
Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia3
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China3
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics, Guilin University of Electronic Technology, Guilin, Guangxi, China3
School of Information and Communication Engineering, Dalian University of Technology, 116024, China3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Department of Computer Science and Engineering, Southwest Jiaotong University, Chengdu, China3
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, USA3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands3
The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China, 3100273
Center for Machine Vision and Signal Analysis, University of Oulu3
Central China Normal University, China3
Department of Electrical and Electronic Engineering, University of Nottingham Malaysia Campus, Malaysia3
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore3
Academic Center for Computing and Media Studies, Kyoto University, Kyoto, 606-8501, Japan3
Indian Institute of Information Technology Guwahati, Assam, India, 7810013
Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece3
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK3
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
133
123
Vision Lab in Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, 235293
Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France3
School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea3
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany3
Adv. Computer Architecture Lab., University of Michigan, EECS Dept., Ann Arbor, USA3
Cyber Security Cluster, Institute for Infocomm Research, Singapore3
CVC and C. Sc. Dpt. UAB, Barcelona, Spain3
Department of Computer Science, The University of Warwick, Coventry, UK3
Ghent University3
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS, UMR5205, F-69134, France3
University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, 78712, USA3
Faculty of Science, Abdelmalek Essaadi University, Tetouan, Morocco3
Advanced Technologies Application Center, 7a #21406 b/ 214 and 216, P.C. 12200, Playa, Havana, Cuba3
Villanova University, Villanova, PA, USA3
Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA3
Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)3
National Electronics and Computer Technology Center, Thailand3
Shanghai Advanced Research Institute, Chinese Academy of Sciences, China3
Nanjing University of Posts and Telecommunications, China3
University of Missouri Columbia, USA3
Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China3
Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland3
School of Computer Science and Software Engineering University of Wollongong, Australia3
University of Barcelona, Computer Vision Center3
RIKEN Center for AIP, Tokyo, Japan3
Fulda University of Applied Sciences, Fulda, Germany3
Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China3
Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan3
School of Electronics and Computer Science, University of Southampton3
Australian National University, Australia3
University of Waterloo, Canada3
University of Canberra, Australia3
WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France3
The Graduate Center, USA3
Department of Pervasive Computing, Tampere University of Technology, Tampere, Finland3
Phonexia, Brno-Krlovo Pole, Czech Republic3
Expert Systems, Modena, Italy3
Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany3
College ofcomputer science and technology, Harbin engineering university, 150001, China3
Electrical Engineering3
Guangdong Key Laboratory of Big Data Analysis and Processing, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China3
Institute for Creative Technologies, University of Southern California, 12015 E Waterfront Dr, Los Angeles, CA, USA3
Universidade de Pernambuco (UPE), Recife, Brazil3
Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany3
Chinese Academy of Science, Shenzhen Institutes of Advanced Technology, Shenzhen, China3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, SI-1000 Ljubljana, Slovenia3
Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA3
Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China3
School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 6397983
Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal3
IBISC, University of Evry, France3
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China3
Department of Computer Science, Faculty of Science, Khon Kaen University, Maung, Khon Kaen, Thailand, 400023
Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey3
State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China3
Tsinghua University, Beijing,China3
Media & Inf. Res. Labs., NEC Corp., Kanagawa, Japan3
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, P. R. China3
Università Politecnica delle Marche (Italy)3
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Institute for Infocomm Research, A∗STAR, Singapore3
School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, China3
Université Laval3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Shenzhen Key Lab. of Information Sci&Tech, Shenzhen Engineering Lab. of IS&DRM, Dept. of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Department of Mechanical Engineering and Intelligent Systems, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, Japan3
Department of Computer Science, The University of Hong Kong3
The Third Research Institute of the Ministry of Public Security, Shanghai, China3
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Institute for Information Industry3
Smart Media Research Center, Korea Electronics Technology Institute, Seoul, Korea3
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy3
University of Tübingen, Tübingen, Baden-Württemberg, Germany3
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea3
State Key Laboratory of ASIC and System, Fudan University, No. 825 Zhangheng Road, Shanghai, 201203, China3
NICTA, Canberra ACT, Australia and CECS, Australian National University, Australia3
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China3
Universidade NOVA Lisboa, Lisbon, Portugal3
Research Center of Intelligent Robotics, Shanghai Jiao Tong University, Shanghai 200240, P.R China3
People’s Public Security University of China, Beijing, China3
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Beijing, China3
ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran3
The University of Newcastle, Merz Court, Newcastle upon Tyne, NE1 7RU, United Kingdom3
Middle East University, Jordan3
ESAT-PSI / iMinds, KU Leuven, Belgium3
Institute of Image Transmission and Information Processing Shanghai Jiao Tong University3
Army Research Laboratory, Adelphi, Maryland, United States of America3
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, P. R. China3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
LEAR team, Montbonnot3
Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy3
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China3
Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon3
NLPR, Institute of Automation, Chinese Academy of Sciences3
Department of Control Science and Engineering, Tongji University, Shanghai, China3
School of Computer Science and Technology, Tianjin University, China3
University of Texas, Arlington3
University of Delaware, Newark, USA, 197163
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 1063
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China3
University of Newcastle, Australia3
Group of Biometrics, Biosignals and Security, GB2S, Centro de Domótica Integral, Universidad Politécnica de Madrid, Campus de Montegancedo. Pozuelo de Alarcón, 28223, Madrid3
Intel Labs Pittsburgh, USA3
Graduate School of Engineering Science, Osaka University, Japan3
Media IC and System Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taiwan3
Aristotle University of Thessaloniki, Greece3
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA3
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, Republic of China3
BITS Pilani, Pilani , India3
School of Automation, Northwestern Polytechnical University, Xi’an, China3
iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland3
Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Poland3
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil3
School of Electrical and Electronic Engineering, Singapore3
IRIP Laboratory, Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China3
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway3
Northwestern University, Evanston3
School of Information Technologies, University of Sydney, Sydney, NSW, Australia3
Facebook Inc., San Francisco, CA, USA3
Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil3
College of Computer Science and Information Technology, Northeast Normal University, Changchun, China3
SAGE, Advanced Systems in Electrical Engineering, Tunisia3
Kyungpook National University, Daegu, Korea3
University of Tübingen3
Distributed and Collaborative Virtual Environments Research Laboratory (DISCOVER), School of Information Technology and Engineering, University of Ottawa, K1N 6N5, Canada3
Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan3
Intelligent Robotics and Communication Laboratories, ATR, Japan3
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China3
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Japan3
University of Maryland, College Park, College Park, MD, USA3
Center for Research on Intelligent Perception and Computing (CRIPAC) and the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, #95, Zhongguancun East Road, Haidian District, PO Box 2728, Beijing, China3
School of Automation, HangZhou DianZi University, HangZhou, 3100003
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany3
Technische Universität Berlin, Berlin, Germany3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea3
School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Canada3
School of Electronics and Physical Sciences, University of Surrey, Guildford, UK3
College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China3
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University Chengdu, 610065, China3
Institute of Forensic Science, Ministry of Justice, Shanghai 200063, China3
Department of Computer Science, ETH Zürich, Switzerland3
Tsinghua University, Dept. of Computer Science and Technology, Beijing, China3
Dept. of Computer Science, University of Maryland, College Park, MD, USA3
Stevens Institute of Technology, Hoboken, NJ 07030, USA3
University of Maryland3
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ...3
Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China3
1Computer Vision Laboratory, ETH Zurich, Switzerland3
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001903
York University, Electrical Engineering and Computer Science, Toronto, Canada3
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland3
Biometric Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea3
Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany3
Visual Information Processing Laboratory, Department of Electronics Engineering, Tsinghua University, China3
NICTA, Queensland, Australia3
Department of Information and Communication Engineering, INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China3
ATR Intelligent Robotics and Communication Labs., Kyoto, Japan3
Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, JAPAN3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Computing, Curtin University, Perth, Australia3
Institute of Computing, University of Campinas, SP, Brazil3
Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands3
Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China3
Computer Engineering Department, Eastern Mediterranean University, Gazima¿usa, Northern Cyprus3
San Diego Supercomputer Center, 9500 Gilman Drive La Jolla CA, 92093-0505, USA3
Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia3
Institute of Power and Applied Electrical Engineering, FEI STU in Bratislava, Slovak republic3
Indian Institute of Technology Bombay, Mumbai, India3
University of Salerno, Fisciano, Italy3
Shenyang Institute of Automation, Chinese Academic of Sciences, Key Lab of Image Understanding and Computer Vision, The Key Laboratory of Optical Electrical Image Processing, Shenhe District, Shenyang, Liaoning, China3
Norwegian University of Science and Technology, Gj⊘vik, Norway3
School of Mechanical Engineering, Tongji University, Shanghai, 201804, China3
Institute of Neural Information Processing, University of Ulm, Germany3
Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany3
University of Michigan3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Australian Centre for Field Robotics, The University of Sydney, Australia3
School of Software Engineering, Xi'an Jiaotong University, Xi'an, 710049, China3
Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China3
College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan, China3
Department of Computer Science and Information EngineeringCommunications and Multimedia Laboratory, National Taiwan University, Taipei, Taiwan3
Florida International University, Miami, FL3
Department of Automation and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China3
Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea3
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia3
Toronto Rehabilitation Institute, Toronto, Ontario, Canada and University of Toronto, Toronto, Ontario, Canada3
University of Information Technology, Vietnam3
School of Engineering, Griffith University, Nathan, QLD, Australia3
Nanjing University of Science and Technology3
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY3
School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu Province, 21189, China3
School of Mechanical Engineering, University of Science and Technology Beijing, USTB, Beijing, China3
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, China3
Signal and Information Processing Laboratory, Beijing University of Technology, China3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 394063
Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India3
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia3
School of Electrical and Electronic Engineering, Yonsei University3
Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany3
Multimedia Lab., Toshiba Corp., Kawasaki, Japan3
Department of Computer Science, University of Southern California, Los Angeles, USA3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Key Laboratory of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China3
College of Electronic Science, National University of Defense Technology, Changsha, Hunan, China3
University of Minnesota3
School of Computer, Shenyang Aerospace University, Shenyang, China3
Washington University in St Louis, USA3
eScience Institute, University of Washington, Seattle, Washington United States3
National Engineering School of Sfax, REGIM (DGRST 01/UR/11-02), University of Sfax, Tunisia3
ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.3
Curtin University Bentley, Western Australia3
Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France3
Dept. of ECE, Seoul National University, Seoul, Korea3
Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany3
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany3
Graduate School of Information Science and Technology, Hokkaido University N-14, W-9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan3
Department of CSE, RMK Engineering College, Chennai3
Department of Automation, Tsinghua University, 100084 Beijing, China3
Department of Mathematics and Statistics, University of Electronic Science and Technology of China , Chengdu, China3
Department of Computer Science and Engineering, Jadavpur University, Kolkata-32, India3
School of Computer Science and Engineering, Beihang University, China3
School of Information Security Engineering, Shanghai Jiaotong University, No. 800 Dong Chuan Rd., 200240, Shanghai, China3
School of Information Science and Electrical Engineering, Kyushu University, Japan3
Dept. of Electrical Engineering, Indian Institute of Technology, Hyderabad3
Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia3
University of Denver, CO 80208, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan3
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China3
Department of Electrical and Computer Engineering, McGill University, Montréal, QC, Canada3
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India3
Columbia Univeristy, New York, NY, USA3
Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye3
University of Freiburg, Computer Science Institute, D-79110, Germany3
Center for Intelligent and Networked Systems, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, China3
Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France3
AKiiRA Media Systems Inc., Palo Alto, CA, USA3
Department of Computer Science, South Asian University, New Delhi, India3
Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA3
Center for Information Technology, UPES, Dehradun, India3
The University of Queensland, Australia3
Oregon State University, Corvallis, OR, USA3
Stanford University, USA3
State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China3
Department of Electrical and Computer Engineering, University of Denver3
Department of Computer Science & Engineering, University of Washington, Seattle, 98195, USA3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France3
Department of Electrical and Electronics Engineering, Nanyang Technological University, Singapore3
Technion, Haifa, Israel3
Image and Video lab, SAIVT Research Program, Queensland University of Technology, Brisbane, Australia3
Tongji University, China3
Department of Electrical Engineering, University of California, Riverside, 925213
Toyohashi University of Technology, Japan3
Department of Computer and Information Sciences, Temple University, Philadelphia, USA3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France3
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China3
School of Computer Software, Tianjin University, Tianjin, China3
University of Dundee, Dundee, UK3
School of Electrical and Computer and Telecommunications Engineering, University of Wollongong, North Wollongong, NSW 2522 Australia3
LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France3
Otto-von-Guericke University of Magdeburg, Magdeburg, Germany3
Sch. of EECS, Ohio Univ., Athens, OH, USA3
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518055, China3
Department of Computer Science & Technology, Tongji University, Shanghai, P. R. China3
College of Information Science and Engineering, Ritsumeikan University, Shiga, 525-8577, Japan3
UNC Charlotte, Charlotte, NC, USA3
School of Computing Science and Engineering, VIT University, Vellore, India3
Department of Computer Science, National University of Singapore, Singapore3
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
Advanced Technologies Application Center (CENATAV), 7A ♯21406 Siboney, Playa, P.C.12200, Havana, Cuba3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, China3
Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China3
The Univ of Hong Kong, China3
AGH University of Science and Technology Krakow, Poland3
Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France3
Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura, Saitama 338-8570, Japan3
Princeton University, Princeton, USA3
KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium3
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China, 2300273
Department of Computer Science and Engineering, Michigan State University, USA3
Hanoi University of Science and Technology3
Indian Institute of Information Technology, Guwahati, India3
Rutgers University, Piscataway, USA3
Kentkart İzmir, TÜRKİYE3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
Department of Informatics, Aristotle University of Thessaloniki, 54124, Greece3
School of Computer Science, Beijing Institute of Technology, China3
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, China3
Faculty of Computer, Guangdong University of Technology, Guangzhou, China3
Chinese University of Hong Kong, Hong Kong, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California San Diego, La Jolla, CA, USA3
Key Laboratory of Machine Perception(MOE), Peking University, Beijing 100871, China3
School of Technology, Nanjing Audit University, Nanjing, China3
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China3
School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, 565-0871 Japan3
National ICT Australia3
Department of Electronic Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan3
Dept. of Electrical and Computer Engineering & Centre for Intelligent Machines, McGill University, Montreal, Quebec, Canada3
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain3
Department of Computer Science, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea3
School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia3
School of Engineering and Computer Science, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand3
Department of Computer Science and Technology, Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China3
Dept. of Computer Science, Suez Canal University, Ismailia, Egypt3
TELIN-IPI, Ghent University, imec Sint-Pietersnieuwstraat, Gent, 41 B-9000, Belgium3
Departmet of Informatics Engineering, Engineering Faculty, Mataram University, Jl. Majapahit 62, Lombok, Indonesia3
School of Information Science and Technology, East China Normal University, Shanghai, China3
Computer Vision Lab, Vienna University of Technology3
College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan3
Department of Computing, Curtin University, Western Australia, WA 61023
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan3
Department of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, Tyne and Wear3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
School of Artificial Intelligence, Xidian University, China3
Ashikaga Institute of Technology, Ashikaga, Japan3
School of Computer and information, HeFei University of Technology, Hefei, China3
National University of Defense Technology, Changsha, Hunan Prov., China3
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan3
DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy3
School of Engineering and Applied Science, Ahmedabad University, India3
Computer Engineering Department, Sharif University of Technology., Tehran, Iran3
Institute of Industrial Science, The University of Tokyo3
Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA3
Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China3
TU Braunschweig, Institute of Control Engineering, Germany3
EECS Department, Northwestern University, Evanston, IL, USA3
HumanTech Institute, HES-SO, Fribourg, Switzerland3
Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong3
Faculty of Information Science and Engineering, Ningbo University, Ningbo, China3
Beijing Institute of Graphic Communication, Beijing3
Indian Institute of Science, Bengaluru, India3
Department of Computer Science, University of Toronto, ON M5S, Canada3
Computer Science Department, Cognitive Systems Group, Reutlingen University, Germany3
Dept. of Computer Sciences, ASIA Team, Moulay Ismail University, Faculty of Science and Techniques, BP 509 Boutalamine 52000 Errachidia, Morocco3
University of Edinburgh, UK3
Electrical Engineering Department, Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan3
Université du Québec à Chicoutimi (UQAC)3
Guangzhou University, Guangzhou, China3
SMILES Laboratory, Xi’an Jiaotong Univeristy, Xi’an, China3
College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China, 3000723
School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
Department of Electrical and Computer Engineering, University of Macau, Macau, China3
Shanghai Jiao Tong University & Alibaba Group, Shanghai, China3
Communication Systems Group, Technische Universität Berlin, EN 1, Einsteinufer 17, 10587 Berlin, Germany3
EUP Mataró, Spain3
Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK3
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-732 Korea3
College of Engineering, Huaqiao University, Quanzhou, China3
The University of Texas at Arlington3
School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Alibaba, Hangzhou, China3
School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China3
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 531003
Media Integration and Communication Center, University of Florence, Firenze, Italy3
School of Information Technology and Electrical Engineering, The University of Queensland3
School of Information Science and Technology, Xiamen University, Xiamen, P. R. China3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China3
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China3
Multimedia Communication and Pattern Recognition Lab, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China3
Computer Science Department, Texas State University, San Marcos, TX, USA3
Institute of Computer Science VI, University of Bonn, Germany3
Faculty of Telecommunications, TU-Sofia3
Caltech, USA3
University Of Washington3
Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile3
School of ECE, Peking University Shenzhen Graduate School, Shenzhen, China3
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana USA3
Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA3
Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria3
College of computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China3
IT University of Copenhagen, Copenhagen, Denmark3
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924 Lodz, Poland3
FDNA inc., Herzliya, Israel3
Learning Affect and Semantic Imaging (LASII) Group, Indian Institute of Technology Ropar, India3
Faculty of Engineering, University of Fukui, Japan3
Shenzhen Institutes of Advanced Technology, the Chinese Academy of Sciences, China3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China3
Software School, Shenyang University of Technology, China3
University of North Carolina Wilmington, USA3
UC Berkeley, California, United States3
University of Calgary3
Advanced Virtual and Intelligent Computing (AVIC) research center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand3
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China3
School of Electronics and Information Engineering, Soochow University, Suzhou, 215006, P. R. China3
Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA3
HCC Lab, Vision & Sensing Group, University of Canberra, Australia3
University of Burgundy, Le2i, BP 47870 21078 Dijon, France3
Department of Computer Science and Engineering, POSTECH, Korea3
CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France3
School of Information Science and Engineering, Xiamen University, Xiamen 361005, China3
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar-799022, Tripura (W), India3
Department of Computer, Science Seattle University, WA, USA3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, 27411, USA3
Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan3
Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA3
Department of Electrical Engineering, National Taipei University, New Taipei City, Taiwan3
Institute of Information Science, Beijing JiaoTong University, 100044, China3
Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan3
Sabanci University, Turkey3
Information Technologies Institute / CERTH, Thessaloniki, Greece3
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia3
Rutgers University3
NTT Corporation, Atsugi, Japan3
Computer Graphics and Immersive Technologies (CGIT) laboratory of Computer Science department, University of Southern California, CA, USA3
University of Buckingham, Buckingham, United Kingdom3
School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China3
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel3
Department of Radiology and the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA3
Department of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China3
School of Information Science and Engineering, Ocean University of China, Qingdao, China3
University of Melbourne, Australia3
Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile3
Oxford Brookes University, Oxford, UK3
Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China3
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany3
State Key Lab. LIESMARS, Wuhan University, China3
Multimedia Department, EURECOM, 2229 Route des Cretes, 06560 Sophia-Antipolis, France3
State Key Laboratory on Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, China3
Hubino Computer Vision & Artificial Intelligence R&D Lab, Hubino Technologies Private Limited, Chennai, India3
Universiti Malaysia Sarawak, Kota Samarahan, Malaysia3
Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia, Johor Bahru, Malaysia3
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China3
Computer Vision Lab, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando3
LIP, UPMF, Grenoble, Cedex3
University of Milan, Italy3
IDIAP Research Institute, Martigny Lausanne3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, USA3
Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey3
Department of Mechanical Engineering, Ajou University, Suwon, Korea3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China3
Dublin Institute of Technology, Dublin, Ireland3
Railway Technical Research Institute, 2-8-38 Hikari-cho, Kokubunji-shi, Tokyo, Japan3
School of Computer Science and Software Engineering, University of Wollongong, Wollongong, Australia3
Australian Center for Visual Technologies, and School of Computer Science, The University of Adelaide, Adelaide, Australia3
Keio University, Yokohama, Japan3
SoC Platform Research Center, Korea Electronics Technology Institute, Yongin and Sungnam, Republic of Korea3
Graduate Institute of Networking and Multimedia and the Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Information Technology, Dharmsinh Desai University, Nadiad, India3
NICTA and School of ITEE, The University of Queensland, Level 5, Axon Building, Staff House Rd, St Lucia, The University of Queensland, Australia3
Universitat Politècnica de Catalunya, Barcelona, Spain3
Department of Computer Science, Xi'an Jiaotong-Liverpool University, Suzhou, China3
KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan3
University of California, at Berkeley3
Image and Video Research Laboratory, Queensland University of Technology, Queensland, Australia3
Department of Computer Science, TU Darmstadt, Darmstadt, Germany3
Eindhoven University of Technology, Eindhoven, Netherlands3
Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt3
Institute for Human-Machine Communication, Technische Universität München3
Department of Electronics Information Engineering, Xi'an Technological University, China3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
Department of Industrial Engineering, Università degli Studi di Salerno, Italy3
MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 024203
University of Utah, Salt Lake City, UT, USA3
Dalian University of Technology, School of Software Tuqiang St. 321, Dalian, 116620, China3
School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India3
Toshiba Corporation Yokohama, Kanagawa, Japan3
Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA3
Shenzhen Graduate School, Peking University, Shenzhen, China3
Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany3
Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany3
School of Communication Engineering, Hangzhou Dianzi University, China3
School of Computer Science, Hubei University of Technology, Wuhan, China3
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong3
School of Electrical and Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China3
Pompeu Fabra University, Barcelona3
University of Kent, Canterbury3
TELECOM & Management SudParis, Evry3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom3
Michigan State University, East Lansing, 48824, USA3
Department of Computer Science and Technology, Huaqiao University, Xiamen, China3
EECS Department, Northwestern University, 2145 Sheridan Road, Evanston, IL 602083
Data Science Department EURECOM, Biot, France3
Department of Computer and Information Science, Fordham University, Bronx, NY 10458, USA3
Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy3
Harvard University, Boston, MA, USA3
Department of Information Engineering at the University of Padua, Italy3
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China3
Aalto University, Helsinki, Finland3
Graduate Institute of Networking and Multimedia, National Taiwan University, Taiwan3
Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan3
University of California, Riverside, Riverside, CA, USA3
Osaka University Osaka, Japan3
Centre for Research and Technology Hellas, Thessaloniki, Greece3
LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France3
Media Integration and Communication Center, University of Florence, Florence, Italy3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China3
School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea3
Radboud University Nijmegen, Nijmegen, The Netherlands3
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China 4300743
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong3
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
Institute of Robotics and Automatic Information System (IRAIS) and the Tianjin Key Laboratory of Intelligent Robotic (tjKLIR), Nankai University, Tianjin 300071, China3
Chinese Academy of Sciences, China3
Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal3
Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea3
Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran3
UtopiaCompression Corporation, 11150 W. Olympic Blvd, Suite 820, Los Angeles, CA 90064, USA3
Dept. of Comput. Sci., London Univ., UK3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore and the ST Engineering - NTU Corporate Lab, Nanyang Technological University, Singapore3
Research Institute of Computer Science and Technology, Ningbo University, China, 3152113
University of Texas at Austin, Austin3
Department of Cognitive Science and Technology and Fujian Key Laboratory of Brain-Like Intelligent Systems, Xiamen University, Xiamen, China3
Key Laboratory of Machine Perception (Ministry of Education) Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE3
School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China3
The Pennsylvania State University, University Park, 16802, USA3
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil3
Department of Computer Engineering, Uka Tarsadia University, Bardoii, India3
Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain3
School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, 75080, USA3
Department of Engineering “Enzo Ferrari,”, University of Modena and Reggio Emilia, Modena, Italy3
FZI Research Center for Information Technology, Karlsruhe, Germany3
Universidade de São Paulo, São Paulo, São Paulo3
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany3
School of Software Engineering, Chongqing University, 401331, China3
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China3
The Hong Kong Polytechnic University, Hong Kong, P. R. China3
Osaka University3
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University3
Visual Analysis of People Laboratory, Aalborg University, Aalborg, Denmark3
University of Southern California, and USC Institute for Creative Technologies3
Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, 5650871, Japan3
Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan3
Department of Electrical and Computer Engineering (ECE) Isfahan University of Technology (IUT), Isfahan, 84156-83111, Iran3
INRIA Grenoble Rhône-Alpes Research Center, 655 avenue de l'Europe, 38 334 Saint Ismier Cedex, France3
School of Computing, Informatics, Decision System Engineering, Arizona State University, Tempe, AZ, 85287, USA3
GRADIANT, Spain3
Katholieke Universiteit Leuven3
LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France3
Ubiquitous Computing, Lab, Kyung Hee, University, Korea3
Computer Sci. & Tech. Dept., Tsinghua University, Beijing 100084, P. R. China3
Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany3
Faculty of Computer and Information Science, University of Ljubljana, Trřaška 25, Slovenia3
National Institute of Standards and Technology, Gaithersburg, MD, USA3
Indian Institute of Information Technology, Allahabad-211012, India3
CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France3
Department of Computer Science, Stanford, CA 94305, U.S.A.3
Department of computer science, Beijing Institute of Graphic Communication, China3
Department of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, N9B 3P4, Canada3
University of Texas at Arlington, Arlington, TX, 760193
School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China3
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA3
National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 1001903
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China3
Department of CS&E, Indian Institute of Technology, Madras, India3
Computer Science and Electrical Engineering of GSST, Kumamoto University, Japan3
CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France3
Computer Engineering, Rochester Institute of Technology, New York 14623-5603, United States of America3
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R China3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R China3
Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
CVPR Unit, Indian Statistical Institute, Kolkata 700108, India3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
Universiti Teknologi Malaysia3
Xerox Research Center in Webster, NY 14580, USA3
Faculty of Mechanical Maritime and Materials Engineering, Delft University of Technology, The Netherlands3
University of Manitoba, Winnipeg, Canada3
School of Electronics and Information Engineering, Beihang University, and National Key Laboratory of CNS/ATM, Beijing, 100191, P. R. China3
MICC - Media Integration and Communication Center, University of Florence3
IBM T. J. Watson Research Center, Yorktown Heights, NY 10532, USA3
Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France3
Electrical and Computer Engineering3
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China3
Disney Research Pittsburgh, Pittsburgh, PA, USA3
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University, Beijing, China3
Information Engineering School, Zhengzhou University, China3
School of Automation, Southeast University, Nanjing 2100963
School of Communication and Information Engineering3
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, China3
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
Yonsei University, Seoul 03722, South Korea3
Univ. Bordeaux, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France3
University of California Santa Barbara3
National Laboratory of Pattern Recognition CAS Center for Excellence in Brain Science and Intelligence Technology Institute of Automation, Chinese Academy of Sciences, 100190, China3
University of Paris 8 - Vincennes, Saint-Denis3
Center for Research on Intelligent Perception and Computing, Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences3
Sfax University, Tunisia3
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA3
Tianjin University, China3
School of Automation, Huazhong University of Science and Technology, Wuhan, China3
Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand3
Department of Computer Science, Punjabi University, Patiala, India3
College of Science Shengyang, Ligong University, Shenyang, 110159, China3
School of Computer Science, Carnegie Mellon University, Pittsburgh, USA3
Graduate School of Shenzhen, Tsinghua University, Beijing, China3
Institute for Advanced Computer Studies, University of Maryland, College Park, USA3
College of Computer Science, Nanjing University of Science and Technology, 210094, China3
Graz University of Technology, Graz, Austria3
MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China3
Department of Electrical and Computer Engineering, University of Windsor, Canada3
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Malaysia3
University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China3
Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China3
Department of Computer Science, School of Computing, National University of Singapore Computing 1, 13 Computing Drive, Singapore 1174173
Bar Ilan University, Ramat Gan, Israel3
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China3
Department of Computer Science and Engineering, State University of New York (SUNY) at Buffalo, Buffalo, NY 142603
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil3
Information Technologies Institute, Centre of Research & Technology - Hellas, Thessaloniki 57001, Greece3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom3
University of Louisville, CVIP Lab, KY, USA3
School of Optical Engineering, Beijing Institute of Technology, Beijing, China3
Computer Vision Laboratory ETH Zurich, UK3
R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal3
National Laboratory for Parallel and Distributed Processing, School of Computer, College of Computer, National University of Defense Technology, Changsha, China3
KDDI Research, Saitama, Japan3
Department of Computer Science, University of Otago, Dunedin, New Zealand3
IMAGO Research Group, Universidade Federal do Paraná, Brazil3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, China3
Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
Sharif University of Technology, Tehran, Iran3
Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K33
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China3
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany3
Data Analytics Technology & Applications Research Institute, Institute for Information Industry3
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Intel Labs China, Beijing, China3
IBM Research, Yorktown Heights, NY, USA3
Swiss Federal Institute of Technology, Switzerland3
Department of Computer Science and Operations Research, University of Montreal, Canada3
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China3
Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria3
Research School of Engineering, Australian National University, Canberra, Australia3
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary3
D.I.I. - University of Modena and Reggio Emilia, Italy3
School of Mathematical Sciences, Xiamen University, Xiamen, China3
Software School, Xiamen University, Xiamen, China3
INRIA, Rocquencourt, France3
Department of Computer Science and Engineering, Fudan University, Shanghai, China3
Department of Computing, the Hong Kong Polytechnic University, Hong Kong, China3
Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil3
Amirkabir University of Technology, Tehran, Iran3
Dept of CSE, IIT, Guwathi, India3
Chongqing University, Chongqing, China3
Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA3
SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia3
Department of Electrical and Computer Engineering, University of Missouri, MO, 65211, USA3
Intelligent Data Center, School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
School of Information Science and Engineering, Xiamen University, Xiamen, 361005, China3
Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea3
Guangdong Key Lab of Comp. Vis. & Vi. Real., Shenzhen Institutes of Advanced Technology, CAS, China3
Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia3
NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan3
Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 USA3
One Microsoft Way, Redmond, WA, USA3
Computer Science, University of Houston, Texas 77004, United States of America3
LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco3
Shanghai Institute of Applied Physics, Chinese Academy of Science, China3
Mando Softtech India Pvt. Ltd., Gurgaon, India3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
GRAVIR Laboratory, INRIA, Montbonnot, France3
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil3
Dept. of Computer Science and Engineering, University of Notre Dame3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China3
School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China3
CVN, CentraleSupelec, INRIA, Universite Paris-Saclay, Gif-Sur-Yvette, 91190, France3
Cognitive Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China2
Bio-computing research center, Shenzhen Graduate School Harbin Institute of Technology, China2
San Jose State University, Department of Computer Science, San Jose, CA, U.S.A.2
IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran2
Department of Electronics, University of Alcala, Madrid, Spain2
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 1175762
U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO, USA2
SoC Platform Center, Korea Electronics Technology Institute, SeongNam, Republic of Korea2
Department of Electrical Engineering, Universidad de Chile, Av. Tupper 2007, Santiago, Chile2
Department of Computer Science, Florida State University, Tallahassee, 32306, USA2
University of Seville , Seville, Spain2
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electrical Engineering, Indian Institute of Technology Kanpur, UP, India 2080162
Computer Vision Lab, ETH Zurich, Switzerland2
Ritsumeikan University, Kasatsu-shi, Japan2
Dept. of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America2
National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, P.R. China2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Korea2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
University of Massachusetts-Amherst, Amherst, MA, USA2
Dept. of CSE, Indian Institute of Technology Guwahati, Guwahati, Assam, India2
Technical University of Catalonia, Barcelona, Spain.2
Faculty of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Iran2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Computer Engineering Program, University of Virginia, Charlottesville, Virginia 229042
School of Electrical and Computer Engineering, RMIT University Melbourne, Australia2
College of Mathematics and Computer Science, Fuzhou University, Fujian 350116, China2
Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany2
Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland2
Robotics Institute at Carnegie Mellon University, USA2
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland2
Siemens Corporate Technology, Princeton, NJ, USA2
University of Siena, Siena, Italy2
Department of Computer Science, University of California at Irvine, Irvine, CA, USA2
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Chuangyeyuan Rd, Longgang, Guangdong, China2
Peking University Shenzhen Graduate School & Peking University, Beijing, China2
Computer Vision and Robotics Research Laboratory, University of California San Diego, United States of America2
Universidad de Las Palmas de Gran Canaria (ULPGC), Spain2
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia2
Nanyang Technological University, Block N4, Nanyang Avenue, Singapore2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, 2100942
Department of Computer Science, University of Indonesia, Depok 16424, Indonesia2
College of Information Engineering, Shanghai Maritime University, Shanghai, China2
Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan2
Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece2
Faculty of Engineering, Bar Ilan University, Israel2
Charles Perkin Centre, Faculty of Medicine, University of Sydney, Australia2
Charles Perkin Centre, Faculty of Engineering, University of Sydney, Australia2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Samsung Research America2
U. of California, Santa Barbara, USA2
Scientific Association of Electrical and Electronic Engineering, Islamic Azad University Central Tehran Branch, Iran2
Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark2
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine2
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, CHINA2
School of Computer Science, Northwestern Polytechnical University, Xian, Shaanxi, China2
Intel Corporation, Singapore, Singapore2
School of Software Engineering, Beijing University of Technology, P.R. China2
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Department of Artificial Intelligence University of Groningen, Bernoulli Institute, Groningen, The Netherlands2
Centre for Development of Advanced Computing (CDAC), Kolkata, India2
Department of Electrical and Computer Engineering, University of Massachusetts, 285 Old Westport Road, North Dartmouth, MA, 02747, USA2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
The University of Alberta, Canada2
Kimia Lab, University of Waterloo, Waterloo, Canada2
Mechanincal and Mechatronics Engineering, University of Waterloo, Waterloo, Canada2
Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria2
Department of Respiratory Medicine, Shanghai Jiao Tong University, 200240, China2
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China2
Charles Sturt University, Wagga Wagga NSW, Australia2
Sunway University, Selangor, Malaysia2
Hexi University, Center for Information Technology, Zhangye, China2
Computer Engineering, Rochester Institute of Technology, Rochester, USA2
Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan2
Global Big Data Technologies Centre (GBDTC), University of Technology Sydney, Australia2
School of Computer Science and Engineering, Northwestern Polytechnical University, P.R.China2
Department of Computer Science, Rani Channamma University, Belagavi, Karnataka, India2
Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan2
Research School of Engineering, National ICT Australia, Australian National University, Canberra, ACT, Australia2
Department of Computer Science, Rutgers University, Piscataway NJ, USA2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Bilgisayar Mühendisliği Bölümü, Ankara Yıldırım Beyazıt Üniversitesi, Ankara, Türkiye2
Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli-627012, India2
Department of Electrical Engineering, American University of Sharjah, UAE2
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador2
King Abdulaziz University, Jeddah, Saudi Arabia2
Computer Science Department Technical University of Cluj-Napoca, Romania2
University of Mauritius, Reduit, 230, Mauritius2
Fraunhofer Institute for Computer Graphics Research (IGD), Darmstadt, Germany2
Autonomous University of Barcelona, Bellaterra (Cerdanyola), Barcelona, Spain2
UFMG & Kunumi, Belo Horizonte, Brazil2
EECS, Northwestern University, USA2
Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, ON, Canada2
Idiap Research Institute, Martigny and EPFL, Lausanne, Switzerland2
Multimedia Technology Group, Vigo University, Pontevedra, Spain2
National Kaohsiung University of Science and Technology2
Department of Computer Science, University of Calgary, Canada2
Department of Computer Engineering, Bogazici University, Istanbul, Turkey2
Korea Advanced Institute of Science and Technology2
Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany2
New Jersey Institute of Technology, Department of Electrical & Computer Engineering, University Heights Newark, NJ 07102 USA2
Center for Biometrics Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of computer science, University of Bridgeport, Bridgeport, CT, 06604, USA2
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China2
Department of ECE, ASRI, Seoul National University2
New Jersey Institute of Technology, Department of Computer Science, Newark, NJ 07102 USA2
Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece2
Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27, Czech Republic2
Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain2
Strategic Analytics, lastminute.com group, Chiasso, Switzerland2
University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 72
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001902
Computer Science and Engineering, Easwari Engineering College, Chennai, India2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
IBM Research - Tokyo, Japan2
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Computer & Energy Engineering, Arizona State University, School of Electrical, Tempe, Arizona, USA2
Department of Computer Science & Engineering, University of Ioannina, 45110, Greece2
Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany2
University of Illinois at Urbana-Champaign, IL2
CEA, LIST, France2
Jiangsu University of Science and Technology, Zhenjiang, China2
Department of Statistics and the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA2
Department of Computer Science and Engineering, Michigan State University, E. Lansing, MI 48824, USA2
Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore2
IIIT Guwahati2
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA2
School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia2
Center of Excellence in Science and Technology, Islamabad, Pakistan2
Department of Mechanical Engineering, National University of Singapore, 117576, Singapore2
Department of Computer Engineering, Alzahra University, Tehran, Iran2
RET, Las Vegas, Nevada2
BV-Tech Ricerca, Rovereto (Italy)2
FBK Trento (Italy)2
DISI - University of Trento, Trento (Italy)2
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia2
Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu2
University of Borås, Borås, Sweden2
Stanford University, 350 Serra Mall, CA, USA2
Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA2
National school of electronics and telecommunications, University of Sfax, Tunisia2
Osaka University Health Care Center, Japan2
Applied Informatics, Faculty of Technology, Bielefeld University, Germany2
Dept. of Computer Science, Rutgers University, Piscataway, NJ 08854, USA2
Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain2
Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China2
Space Control and Inertial Technology Research Center, Harbin Institute of Technology, China2
Morpho, SAFRAN Group, 11 Boulevard Galliéni 92130 Issy-Les-Moulineaux - France2
Faculty of Engineering and Information Technologies, UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies, University of Sydney, 6 Cleveland St, Darlington, NSW, Australia2
Department of Computer Engineering, Siirt University, Siirt, Turkey2
Biometric Technologies Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Alberta, T2N 1N4 Canada2
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea2
Center for Exact Humanities (CEH), IIIT, Hyderabad, India2
Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj⊘vik, Norway2
International Institute of Information Technology (IIIT) Hyderabad, India2
School of Information Science, Computer and Electrical Engineering, Sweden2
Active Safety CAE, Volvo Cars Corporation Department, Volvo Cars AB, Sweden2
Dept. of Signals and Systems, Chalmers Univ. of Technology, Gothenburg, 41296, Sweden2
Institut d'Électronique Fondamentale - Universite Paris Sud2
Renault S.A.S.2
Dept. of Computer Science & Engineering, Arizona State University, Tempe, 85287, USA2
Electronics Department, University of Alcalá (UAH), Spain2
Centre for Vision Speech and Signal Processing, University of Surrey, UK2
Computer and Electronics Security Systems, Northumbria University, UK2
Institute of Robotics, Innopolis University, Russia2
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA2
Daimler AG, R&D, Germany2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Beijing, China2
Key Laboratory of Machine Perception, Ministry of Eduction, Peking University, Beijing, China2
Universitat Autònoma de Barcelona2
Electr. Eng. & Comput. Sci. Dept., Northwestern Univ., Evanston, IL, USA2
University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Graduate School of Informatics, Kyoto University2
Academy of Broadcasting Science, Beijing, P.R. China2
Center for Computational Biology, MINES ParisTech, PSL Research University, Paris, France2
Xinjiang University, China2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil2
Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan2
Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University2
Institute of Logic and Intelligence, Southwest China University, Chongqing, China2
Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus2
Electronic and Electrical Engineering Department, University College London2
School of Computing Information Sciences, Florida International University2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey2
Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand2
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Electrical Engineering and Computer Science, University of California at Merced, Merced, USA2
Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea2
Korea Electronics Technology Institute, Seongnam, Republic of Korea2
Miguel Hernandez University, Av. Universidad s/n. 03202 Elche (Spain)2
Department of ECE, UCEK, JNTUK, Kakinada2
Kunming University of Science and Technology, Kunming, China2
CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France2
Department of Information Technology, Uppsala University, Sweden2
Disney Research, Pittsburgh, PA, USA2
Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Cranfield University, Shrivenham SN6 8LA, United Kingdom2
Beijing Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA2
Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-2080162
Department of Computer Science and Engineering, University of Califonia, San Diego2
Department of Computer Science and Technology, Tsinghua University, Beijing2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, SEOUL, Republic of Korea2
Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia2
School of Communication Engineeringm, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China2
Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh2
Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus2
Department of Computer Science, San Jose State University, San Jose, CA2
School of Design, South China University of Technology, Guangzhou 510006, China2
MNIT Jaipur, India2
CIISE, Concordia University, Montréal, Québec, Canada2
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland2
Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador2
Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador2
University of Paris 13, Villetaneuse, France2
Aix Marseille Univ LIF/CNRS, France2
Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan2
The Open University of Israel, Israel2
Yahoo Labs, Bangalore, India2
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an Shaanxi, China2
Griffith School of Engineering, Griffith University, Brisbane, Australia2
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Shenzhen, China2
Skolkovo Institute of Science and Technology (Skoltech), Novaya Street 100, Moscow Region, Russia2
Center for Automation Research, EE Department, University of Maryland, College Park, 20742, USA2
Institute for Digital Communications, University of Edinburgh, UK2
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 021382
The Rowland Insitute at Harvard, Harvard University, Cambridge, MA 021422
College of Information Science and Engineering, Ocean University of China, Qingdao, China2
Halmstad University, Halmstad, Sweden2
Department of Electronic Science and Technology, Tongji University, Shanghai, 201804, China2
Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China2
Linköping University, Linköping, Sweden2
College of Computer Science, Central China Normal University, Wuhan, China2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Video and Image Processing System (VIPS) Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China2
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
Service Systems Technology Center, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan 31040, R.O.C2
Department of Electrical Engineering, University of Washington, Box 352500, Seattle, WA 98195, USA2
Poznan University of Technology, Department of Computing, Division of Signal Processing and Electronic Systems, Poznań, Poland2
CyLab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA2
University College London, Department of Computer Science, WC1E 6BT, UK2
Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur (MS), India2
Laboratory ISA Faculty of Science and Technology, Fez, Morocco2
Photogrammetry and Remote Sensing, ETH Zürich, Switzerland2
University of Waterloo, Waterloo, ON, Canada, N2L 3G12
Ideal Institute of Information and Technology, Northeast Normal University, NENU, Changchun, China2
Boǧaziçi University, Istanbul, Turkey2
The University of Manchester, Manchester, UK2
Faculty of Science and Technology, University of Macau, Macau 999078, China2
Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan2
Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand2
Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece2
Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria2
Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria2
University of Hong Kong, China2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Kampus Jasin, 77300 Merlimau, Melaka, Malaysia2
School of Electronics and Information Technology, Sun Yat-Sen University2
MICC, University of Florence, Florence, Italy2
Electronics and Communication Engineering, Karunya University, Coimbatore, India2
Faculty of Mathematics and Natural Sciences, University of Bonn, Germany2
Sabanci University, Istanbul, 34956, Turkey2
Department of Mechanical Engineering, National Taiwan University, 10647, Taipei, Taiwan2
King Abdullah University of Science and Technology (KAUST), Saudi Arabia2
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand2
University of Colorado at Colorado Springs, Colorado Springs, CO, USA2
Affectiva, Waltham, MA2
School of Computer Science, Shaanxi Normal University, Xi'an, China2
Korea Electronics Technology Institute, South Korea2
Grupo de Investigación en Automática, Universidad Tecnológica de Pereira2
STARS team, Inria Sophia Antipolis-Méditerranée, Sophia Antipolis, France2
Computing and Information Systems, Kingston University London, UK2
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning Province, China2
School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning Province, China2
Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China2
Automation Department, North China Electric Power University, Baoding, 071003, China2
Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada2
Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore2
Department of Information Science and Technology, Anna University, Chennai, India2
Department of Computer Science, University of Houston, TX 77004, United States of America2
JD Artificial Intelligence Research, Beijing, China2
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong2
School of Engineering, Cardiff University, UK2
Islamic Azad University, South Tehran Branch, Electrical Engineering Department, Iran2
Autonomic Comput. Lab., Athens Inf. Technol. Inst., Greece2
Department of Automation, University of Science and Technology of China, Hefei 230027, China2
Research School of Computer Science, Australian National University, Australia2
California State University, Fullerton2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
LITIV Lab., Polytechnique Montreal2
University of Minnesota, MN, USA2
Zhejiang University of Technology, Hangzhou, PR China, China2
Department of Computer and Information Science, University of Macau2
Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey2
Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan2
Department of Automation, Shanghai Jiao Tong University, China2
Graduate School, Air Force Engineering University, Xi’an, China2
University of Wollongong, School of Electrical Computer Telecommunication Engineering, Wollongong, Australia2
Multimedia Communications Department, EURECOM, Sophia-Antipolis, FRANCE2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Northwestern Polytechnical University Xian, P. R. China2
Northwestern Polytechnical University, Xian, P. R. China, and UNC-Charlotte, Charlotte, NC2
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China2
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 2002402
Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy2
Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea2
Queen Mary, University of London, London, UK2
Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE2
Information Engineering and Medical Imaging Group, City University London, London, UK2
Ryerson Multimedia Lab, Ryerson University, Canada2
Nanjing Research Institute of Electronics Engineering, Nanjing, China2
Technological Educational Institute of Thessaloniki, Dpt. of Electronics, Sindos, Thessaloniki, Greece2
Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France2
Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil2
School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China2
Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece2
Dept. of Electrical and Computer Engineering, Western Michigan University, USA2
Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA2
Electrical and Electronic Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey2
Dept. of Electrical and Electronic Eng., The University of Melbourne, Australia2
Center for Design Research, Stanford University, CA, USA2
Institute of Computing, University of Campinas (UNICAMP), SP, 13083-852, Brazil2
National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8568, Japan2
Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina2
Department of Mathematics and Computer Science, Northeastern State University, OK, USA2
University of Illinois at Chicago2
George Mason University, Fairfax, USA2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Corp. Res. & Dev., Toshiba Corp., Tokyo, Japan2
School of Science, Beijing University of Posts and Telecommunications, Beijing, China2
Laboratory of Computer Vision and Media Technology, Aalborg University, Denmark2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
UR: SAGE-ENISo, University of Sousse2
Department of Computer Science, Cornell University, Ithaca NY, 14853, USA2
Comput. Vision Lab., Maryland Univ., College Park, MD, USA2
Student, IEEE2
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061, USA2
Istanbul Technical University, Informatics Institute, 34469, Turkey2
FORWISS, University of Passau, Passau, Germany2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Dept. of Computer Science and Applications, Gandhigram Rural Institute - DU, Dindigul, India2
FMV IŞIK Üniversitesi, Şile, Istanbul2
College of Information Engineering, Nanchang University, Nanchang, China2
Department of Computer ScienceComputational Biomedicine Laboratory, University of Houston, Houston, TX, USA2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
CVIT, IIIT Hyderabad2
School of Engineering Science, Simon Fraser University, Burnaby, Canada2
Computer Vision Laboratory, GIST, South Korea2
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology2
Academy of Broadcasting science, Beijing, China, 1008662
Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey2
University of Illinois at Urbana-Champaign (UIUC)2
Florida Atlantic University, Boca Raton, FL, USA2
Department of Electrical and Computer Engineering, University of Delaware, Newark, USA2
Computer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China2
Department of Computer Science, Drexel University, USA2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
Rapid-Rich Object Search Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
The School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, P.R. China2
Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain2
POSTECH, 37673 Pohang, Korea2
LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France2
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu university, Fukuoka, Japan2
Department of DMC Engineering, Sungkyunkwan University, Suwon, South Korea2
Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada2
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian, 350116, China2
School of Information Technology and Electrical Engineering, the University of Queensland, Australia2
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C2
UIIP, Minsk, Belarus2
BSUIR, Minsk, Belarus2
South Base, China Mobile, Guangzhou, China2
Indian Institute of Technology, Kharagpur, West Bengal 721302, India2
School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China2
Robert BOSCH Research and Technology Center, Palo Alto, CA 94304, USA2
National Chung Hsing University, Taichung2
Università di Salerno, Fisciano (SA), Italy2
School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA2
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba2
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy2
ACTLab, University of Passau, DE2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, School of Computer Science, Beijing Institute of Technology, Beijing, China2
National Technical University of Athens, Heroon Polytechniou, Athens2
German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany2
College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland2
Swinburne University of Technology, Hawthorn, Australia2
CSE, SUNY at Buffalo, USA2
Biometrics Res. Lab., Iran Telecommun. Res. Center, Tehran, Iran2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
University of Texas at El Paso, 500 W University Ave - El Paso TX 799682
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Jiangsu Key Laboratory of Big Data Analysis Technology, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China2
Department of Computer Engineering, Mahanakorn University of Technology, 140 Cheum-Sampan Rd., Nong Chok, Bangkok THAILAND 105302
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Villeurbanne, France2
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300812
Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India2
Laboratoire LITIS EA 4108, Normandie Université, Université de Rouen, France2
National University of Defense Technology, Changsha, Hunan2
Department of Computer Engineering, Istanbul Technical University, Turkey2
Informatics Institute, Istanbul Technical University, Turkey2
Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand2
College of Science and Technology, Nanchang University, Nanchang, China2
Yandex, Moscow2
Tsinghua University, Beijing, P. R. China2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
DFKI GmbH, Germany2
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China2
Tencent Inc2
INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France2
Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA2
Department of Computer Science and Technology, East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China2
University of Arkansas at Little Rock, USA2
CSE, Department, Regional Centre of Anna University, Tirunelveli, TamilNadu, India2
Culture Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne, U.K.2
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 1001902
Computer Science and Technology Department, Tsinghua University, China2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia2
Department of Mechanical and Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Adobe Research, San Jose, USA2
University of Sfax, LETI laboratory ENIS, BP W, Sfax, 3038, Tunisia2
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy2
Politecnico di Milano, Milan, Italy2
FORTH, Heraklion, Greece2
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032, China2
School of Computing Science, Simon Fraser University, Burnaby, BC, Canada2
Telecom Lille 1, LIFL, Lille, France2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
Institute of Computing Technology, CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Beijing, China2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics , Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer Science and Engineering, University of Aizu, Tsuruga, Ikkimachi, Aizuwakamatsu, Japan2
TCS Innovation Labs, TATA Consultancy Services, Hyderabad, India2
SoICT, HUST and School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam2
Department of Electronic and Electrical Engineering, University of Bath, Bath, UK2
Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China2
Tongren Electric Power Supply Bureau of Guizhou Power Grid Co., Ltd., Tongren, China2
Department of Computer Science and Engineering, University of Chittagong, Bangladesh2
Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne2
Computer Science and Engineering Dept., University of North Texas, Denton, TX, USA2
Depart. Electronics, Telecommunications & Information Technology, Polytechnic University of Bucharest, Romania2
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA2
Computer Science and Engineering Michigan State University, East Lansing, USA2
Ritsumeikan University, Japan2
University of Science and Technology (UST), Deajeon, South Korea2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, P.R. China2
Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China2
Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Jiaotong University, 100044, China2
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 1001902
School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa2
Honda Research Institute, 375 Ravendale Dr, Suite B, Mountain View, CA, 94043, USA2
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA2
Electrical, Computer and IT, Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran2
IBM, USA2
ARL, USA2
Karlsruhe Institute of Technology, Institute for Anthropomatics, Karlsruhe, Germany2
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong2
University of Blida 1, Department of Computer Science, Algeria2
Signal Theory and Communications Department, University of Vigo, Vigo, Spain2
University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi-110078, India2
The Ohio State University, Columbus2
Kochi University of Technology, Kochi, 782-8502, Japan2
Hefei University of Technology, School of Computer and Information, Hefei, Anhui, 230601, China2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey2
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany2
Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland2
Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea2
eBay Inc., San Francisco, CA, USA2
eBay Inc., San Jose, CA, USA2
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA2
Multimedia Communications Dept., EURECOM, Sophia Antipolis, France2
Computer Science Department, University of Northern British Columbia, Prince George, Canada2
Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation2
University Polytechnica of Bucharest, Bucharest, Romania2
Ghent University, Zwijnaarde, Belgium2
Control Systems Laboratory, School of Mechanical Engineering, National Technical University of Athens, Greece2
ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France2
College of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China2
CASIA, National Laboratory of Pattern Recognition2
CASIA, Research Center for Brain-inspired Intelligence2
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 10091, China2
Department of Information Engineering, Meijo University, Nagoya 480-1192, Japan2
Information Technology University (ITU), Punjab, Lahore, Pakistan2
School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China2
Department of Computing, The University of the West Indies, Mona Campus, Jamaica2
University of California at San Diego, La Jolla2
Wrocław University of Science and Technology, Wrocław, Poland2
Institute of Remote Sensing and GIS, Peking University, Beijing, China2
Pattern Recognition Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD Delft, the Netherlands2
Wayne State University, Detroit, USA2
Department of Electrical Engineering, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong2
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh2
Department of Electronics, Goa University, India2
LIMSI-CNRS, Orsay, France2
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA2
Computer Vision and Robotics Group , University of Girona, Girona, Spain2
Department of Electronic and Information Engineering, Center for Signal Processing, The Hong Kong Polytechnic University, Hong Kong2
Firmenich SA, Geneva2
Max Planck Institute for Intelligent Systems2
School of Information Technology, Deakin University, Burwood, VIC, 3125, Australia2
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK2
Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China2
Research and Engineering Education Facility, University of Florida, Shalimar, USA2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan2
First Department of Neurology, Masaryk University and St. Anne's University Hospital, Pekarska 53, Brno, 65691, Czech Republic2
Visual Image Processing Group, National Institute of Standards and Technology, Gaithersburg, MD 208992
Syracuse University2
Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
School of Electronic Engineering and Computer Science, Institute of Digital Media, Peking University, Beijing, China2
ONERA - The French Aerospace Lab, F-91761 Palaiseau, France2
Learning & Game Theory Laboratory, Engineering Division, New York University, Abu Dhabi2
Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R12
Université Lyon, Villeurbanne, France2
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China2
Department of Computer Science, Southern Illinois University Carbondale, IL, USA2
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA2
Samsung Electronics, SAIT Suwon-si, Korea2
Department of Electrical Engineering, University of Hawaii, Manoa, Honolulu, HI, 968222
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China2
Toyota Research Institute, Cambridge, MA, USA2
School of Electrical Engineering and Computer Science, Queensland University of Technology, Gardens Point, Queensland, Australia2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China2
University of Tampere, Finland2
School of Engineering, University of KwaZulu-Natal, Durban, South Africa2
Applied Physics Laboratory, University of Washington, Seattle, WA, USA2
Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, Romania2
School of Information Science and Technology, Northwest University, Xi’an, China2
The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 028812
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, Guangdong, Peoples Republic of China2
Nanyang Technological University, Nanyang Ave, Singapore2
Korea University, Seoul Korea2
Department of Computer ScienceInstituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
University of Arkansas2
Department of Computer Science, University of Hong Kong, Hong Kong2
Institute for Computer Vision and Graphics, Graz University of Technology, Austria2
University of Leeds Leeds, UK2
Department of Automation, Shanghai Jiao Tong University, 200240, China2
Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno2
College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China2
School of Computer Sciences, Universiti Sains Malaysia, Malaysia2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia2
Department of Automation, Shanghai Jiaotong University, Shanghai 2002402
Electronics and Communication Sciences Unit, Indian Statistical Institute, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
School of Electrical Engineering and Computing, University of Newcastle, Newcastle, Australia2
Shanghai University of Engineering Science, Shanghai, China2
ISR - Instituto Superior Técnico, Lisboa, Portugal2
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia2
School of Information Science and Engineering, Shandong University Jinan, China, 2501002
University College London (UCL), Electronic and Electrical Engineering Department, London, U.K.2
Biometric Technologies Laboratory, Department of Electrical and Computing Engineering, University of Calgary, Alberta, Canada2
Baiyun District Bureau of Justice, Guangzhou, China2
Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France2
Hong Kong Baptist University, Kowloon Tong, Hong Kong2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France2
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, KKTC, via Mersin 10 Turkey2
CASIS at Clemson University, Clemson, SC 29634, USA2
School of Computer Science and Thechnology, Nanjing Tech University, Nanjing, 210000, China2
Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy2
Jaypee Institute of Information Technology2
Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada2
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China2
Intelligent Data Center (IDC) and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China2
Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany2
Imavis srl, Italy2
Samsung Advanced Institute of Technology (SAIT), Republic of Korea2
State Key Laboratory of satellite navigation system and equipment technology, Shijiazhuang, China2
Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation2
Simon Fraser University, Autonomy Lab, School of Computing Science2
Computer Science Division, EECS, University of California at Berkeley, USA2
Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia2
School of Computer Engineering, Shahrood University of Technology, Iran2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan, Taiwan2
School of Automotive and Traffic Engineering, Jiangsu University, China2
University of Malaga2
University of Cordoba2
Department of Computer Engineering, University of Engineering and Technology, Taxila, Pakistan2
City University of Hong Kong, Hong Kong, China2
Queensland University of Technology (QUT), Brisbane, QLD 4001 Australia2
Department of Computer Science, New Jersey Institute of Technology, Newark 07102, USA2
Department of Geography, The George Washington University, District of Columbia, United States of America2
Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
Department of electronics and communication, Visvesvaraya National Institute Of Technology, Nagpur, India2
School of Electrical and Computer Engineering, Cornell University, USA2
Xinjiang University, Urumqi, China2
University of California San Diego, La Jolla, USA2
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei Anhui, China2
GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France2
GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France2
SDM, Dharwad, India2
BVBCET, Hubli, India2
Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University, China2
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China2
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia2
School of Electronic Engineering, Xidian University, Xi'an 710071, China2
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia2
Department of Computer Science, Utah State University, Logan, UT, USA2
Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany2
Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Computer Science and Engineering, Arizona State University, Tempe, AZ2
School of Electronics and Information Engineering, Tianjin University, Tianjing, China2
Department of Electronics and communication Engineering, Sathyabama University, Chennai2
Department of Computer Engineering, Hacettepe University, Ankara, Turkey2
Department of Computer Engineering, Bilkent University, Ankara, Turkey2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA2
Research department, Herta Security, Barcelona, Spain2
School of EE, Xidian University, Xi'an 710071, China2
Faculty of Computer and Information Science, University of Ljubljana, EU, Slovenia2
South East European University, Tetovo, Macedonia2
University of Wisconsin, Madison, Wisconsin2
Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil2
Department of Computer Science, Shanghai Maritime University, Shanghai, China2
Iowa State University, Ames, IA, USA2
Electric Power Research Institute, State Grid Shanghai Electric Power Company Shanghai, 200093, China2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA2
Bosch Center for Artificial Intelligence, Renningen, Germany2
Dept. of Information Engineering, University of Firenze - Italy2
Computer Science, University of Arkansas at Little Rock, USA2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Department of Biomedical engineering, The Chinese University of Hong Kong, N.T., China2
Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 943042
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, USA2
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany2
Beijing Information Science and Technology University, School of Automation, Beijing, China2
Tatung University, Taipei City, Taiwan Roc2
Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany2
Institute for Communications and Navigation, Technical University Munich, Munich, Germany2
Department of Computer Science and Engineering, University of South Florida, Tampa, FL 33620.2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
School of Information Science, Computer, and Electrical Engineering, Halmstad University, PO Box 823, SE-301 18 Halmstad, Sweden2
Laboratoire Systèmes et Transports, Université de Technology de Belfort-Montbéliard, Belfort, 90010 France2
Arizona State University, Tempe, USA2
Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China2
University of California, Santa Cruz, Santa Cruz2
Halmstad University, IDE SE-30118 Halmstad, Sweden2
School of Engineering, Monash University, Bandar Sunway, Malaysia2
Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India2
Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan2
Dept. of ECE and Digital Technology Center, Univ. of Minnesota, USA2
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan2
Brigham Young University, Provo, USA2
Research Institute of Computer Science and Technology Ningbo University, Ningbo, China2
Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA2
Department of Electrical Engineering, National Taiwan University, Taiwan, ROC2
Department of Computer, Shandong University, Weihai, China2
CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia2
Electrical Engineering, Indian Institute of Technology, Kanpur, India2
Heriot-Watt University, Edinburgh, UK2
Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland2
Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China2
University of California Santa Cruz, Santa Cruz2
Signal Theory and Communications Department, University of Vigo, 36310, Spain2
Department of Electrical Engineering, University of California Riverside, Riverside, CA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Dept. of Computer Science and Technology, Tsinghua Univ., Beijing 100084, China2
Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran2
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China2
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China2
Dr. G. Y. P. College, MGM, Aurangabad2
Maharashtra University of Health Sciences, Nashik2
ATR National Laboratory, National University of Defense Technology, Changsha , China2
Griffith School of Engineering, Griffith University, Nathan Campus, Brisbane, Australia2
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Room 1411, Intelligent Building, 95 Zhongguancun Donglu, Haidian District, Beijing, China2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Laboratory of Visual Analysis of People (VAP), Aalborg University, Sofiendalsvej 11, 9200 Aalborg, Denmark2
PDL, National Laboratory for Parallel and Distributed Processing, NUDT, National University of Defense Technology, Changsha, China2
School of Engineering, Griffith University, Nathan Campus, 170 Kessels Road, Brisbane, QLD 4111, Australia2
State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China2
Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Faculty Of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran2
Cochin University of Technology, School of Engineering, Ernakulam, Kerala, India2
DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy2
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
The Chinese University of Hong Kong; Multimedia Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Hong Kong, Shenzhen, China2
Institute of Information & Communication Technology, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh2
Advanced Technology Development Center, Indian Institute of Technology, Kharagpur, 721302, India2
Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi, India2
Czech Technical University in Prague, Prague, Czech Rep2
Masaryk University, Brno, Czech Rep2
Charles University, Prague, Czech Rep2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
National Taipei University, New Taipei City, Taiwan2
Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy2
Hanyang University, Ansan, South Korea2
Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia2
School of Computer Science and Engineering, Nanyang Technological University, Singapore6397982
Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran2
Department of Computer Science, University of Northern British Columbia, Prince George, British Columbia, Canada2
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN2
Smart Systems Institute, National University of Singapore, Singapore2
State key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China, 4100732
Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey2
Electr. Eng., Math. & Comput. Sci., Delft Univ. of Technol., NSW, Netherlands2
French Aerospace Lab, ONERA - 91123 Palaiseau, France2
Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France2
Department of Computer Science & Engineering, University of Washington, Seattle, WA 98115, USA2
Räven AB, SE-411 14 Göteborg, Sweden2
School of Computing, University of Kent, Canterbury, UK2
National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China2
USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab2
CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL2
Computer Science and Technology Dept., Tsinghua University, Beijing, China2
Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, China2
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871 Japan2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology2
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
School of Electronics and Information Engineering, Sichuan University, Chengdu, 610064, China2
Indian Statistical Institute, Kolkata 700108, India2
Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan2
Department of Electrical and Computer Engineering, The University of Auckland, New Zealand2
ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei, China2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México2
University of Tunis, LaTICE-ENSIT Tunis, Tunisia2
Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil2
Snap Research, Venice, CA, United States2
University of Technology Sydney, Australia2
Department of CSE, Amity School of Engineering & Technology, Amity University, Noida, Uttar Pradesh, India2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China2
Department of Statistics, George Mason University2
Department of Communications, School of Electrical and Computer Engineering, University of Campinas, SP, Brazil, 13083-8522
Institute for Applied Research, Ingolstadt University of Applied Sciences, Germany, 850492
Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany2
School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, Suwon, Kyungki-do, 440-746, South Korea2
UBTECH Sydney Artificial Intelligence Centre, The University of Sydney, Darlington, NSW, Australia2
University of South Carolina, Columbia, SC, USA2
ENSTA ParisTech U2IS/Robotics & Vision, Université de Paris-Saclay2
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University2
Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, and College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China2
Universidade NOVA de Lisboa, Caparica, Portugal2
University of Kentucky2
Department of Electrical and Electronic Engineering, Imperial College London, London SW2 7AZ, UK2
Systems & Industrial Engineering, The University of Arizona, Tucson, AZ, USA2
School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand2
Department of Computer Science TU Darmstadt, Germany2
MPI Informatics Saarbrücken, Germany2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey2
Microsoft Research, Haidian, Beijing, P. R. China2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea2
Tokyo Institute of Technology, Department of Information Processing, 4259-G2-4, Nagatsuta-cho, Mdori-ku, Yokohama, Kanagawa, 226-8502, Japan2
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University , Xi'an, China2
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran2
Universidad Catolica de Chile2
Microsoft Advanced Technology Center, Beijing2
Media Computing Group, Microsoft Research Asia, Beijing2
Department of Automation, University of Science and Technology of China, Hefei, Anhui2
School of Computer and Controlling Engineering, University of Chinese Academy of Sciences, Beijing, China2
Computer Vision, Video and Image Processing (CvviP), Department of Electronics and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong2
Department of Electrical Engineering, National Taiwan University, Taiwan2
UC Irvine, CA 92697, United States2
Artificial Vision Laboratory, Dept. of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan 1062
Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany2
Electrical Engineering & Computer Science, University of California at Merced, USA2
Dept. Electronics, Telecomm. and Inform. Technol., “Politehnica” University of Bucharest, Romania2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Information Engineering, Wuyi University, Jiangmen Guangdong, China 5290202
School of Computer Science and Communication Engineering Jiangsu University, Zhenjiang, 212013 China2
Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea2
Florida International University, Miami, United States2
Capital University of Economics and Business, Beijing, P.R. China2
Faculty of Media Engineering and Technology, German University in Cairo, Egypt2
SiliconScapes LLC, USA2
Toshiba, Japan2
Facial Image Processing and Analysis Group, Institute for Anthropomatics, Karlsruhe Institute of Technology, D-76131 Karlsruhe, P.O. Box 6980 Germany2
School of Mathematics, Computer Science and Engineering, City University London, United Kingdom2
University of York, YO10 5GH, UK2
Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA2
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Fl, USA2
Central Scientific Instruments Organization (CSIR-CSIO), Sector 30C, Chandigarh, India2
College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China2
Chengdu University, School of Information Science and Engineering, Chengdu, 610106, China2
Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil2
Department of Computer Science, Peking University, Beijing, China2
Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming, China2
Control & Energy Management Laboratory, University of Sfax, Sfax Engineering School, Tunisia POB 30382
College of Applied Science and Technology, Hainan University, China2
Elektronik Mühendisligi Bölümü, Gebze Teknik Üniversitesi, Gebze, Türkiye2
RMIT University, Melbourne, Australia2
Anhui University, School of Computer Science and Technology, Hefei, China2
Anhui University, School of Mathematical Sciences, Hefei, China2
Denso IT Laboratory, Inc., Tokyo, Japan2
National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China2
School of Computational Science and Engineering, Georgia Institute of Technology2
Microsoft Research Asia, China2
Robotics Program, KAIST, Daejeon, 34141, Korea2
Computer Vision Lab, Delft University of Technology, Delft, The Netherlands2
Dept. Computer Science and Information Engineering, National University of Kaohsiung, Taiwan2
School of Science, Information Technology and Engineering, University of Ballarat, Australia2
State Key Lab of Management Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan2
Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines2
Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland2
Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China2
College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
School of Engineering, Huaqiao University, Quanzhou, 362021, China2
School of Information Science and Engineering, Huaqiao University, Xiamen 361021, China2
Visual Information Lab, University of Bristol, UK2
Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil2
École Centrale de Lille, CRIStAL, UMR CNRS 91892
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Univ. Bordeaux, LaBRI Talence, France2
Dept. of Computer Science and Engineering, Kalpataru Institute of Technology, Tiptur, India2
Dept. of Computer Science and Engineering, Government Engineering College, Hassan, India2
School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China2
Chongqing University of Science & Technology, 401331, China2
Computer Science and Engineering Department, Arizona State University, Tempe, AZ2
Department of Electronics Engineering, Konkuk University, Seoul, South Korea2
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, 410073, P.R.China2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea2
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada2
Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan2
Bilişim Enstitüsü, İTÜ, Turkey2
University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
College of Photonic and Electronic Engineering, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, China2
College of Photonic and Electronic Engineering, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China2
School of Computer Science and Technology, University of Science and Technology of China2
West Virginia University, Morgantown, West Virginia, 265062
Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN2
Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
CVPR Laboratory, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran2
Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
School of Electrical and Electronic Engineering, Tianjin University of Technology, China2
Australian Centre for Field Robotics, School of Information Technologies, University of Sydney, Australia2
School of Computing, Mathematics and Digital Technology2
Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 301E E Dean Keeton St, Austin, TX, 78712, USA2
Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 021392
LICÉF research center, TÉLUQ University, Montreal (QC), Canada2
Electronics and Computer Engineering, Hanyang University, Seoul, South Korea2
Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey2
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Communications Engineering Department, National Chiao Tung University, Hsinchu, Taiwan2
Microsoft Research Asia, Haidian District, China2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, China2
Key Laboratory of Complex Systems and Intelligent Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Institute for Information and System Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China2
Department of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China2
Computer Vision & Media Technology Lab, Aalborg University, Aalborg, Denmark2
MTA SZTAKI Institute for Computer Science and Control2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Hafez 424, Iran2
Graduate School of Information, Production and Systems, Waseda University, Japan2
Electrical Engineering Department, Sharif University of Technology, Tehran, Iran2
Guang Zhou Communication Information Construction Investment and Operation Co. Ltd, China2
Institute of Smart City Systems, Qingdao Academy of Intelligent Industries, China2
Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA2
Departemen Fisika, FMIPA, Universitas Indonesia, Kampus UI Depok, 16424 Indonesia2
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, China2
General Motors Company2
Department of Automation, Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China2
Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina2
School of Computer Science, The University of Adelaide, South Australia2
Department of ECE, Kalasalingam University, India2
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Adenauerring 4, Karlsruhe, Germany2
Department of Electrical and Computer Engineering and ASRI, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, Korea2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA2
Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium2
School of Computer Science and Technology, Soochow University, Suzhou 215006, P. R. China2
Istanbul Technical University, Faculty of Computer and Informatics Engineering, Istanbul, Turkey2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi, P. R. China2
Department of Mathematics and Computer Science, University of Cagliari, Italy2
CETUC, Pontifical Catholic University of Rio de Janeiro, Brazil2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia2
University of Montreal Montréal QC, Canada2
National Aviation University, Kyiv, Ukraine2
Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam2
Google Research, Mountain View, CA, USA2
Stanford University, Stanford, USA2
Kogakuin Univ., Tokyo, Japan2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, P.R. China2
Queen Mary University of London, London, England UK2
Graduate School of Science and Engineering, Teikyo University2
London Health Sciences Centre, London, ON, Canada2
Siemens Corporate Technology, Imaging and Visualization Munich, Germany2
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany2
Computer Science, Computational Biomedicine Lab, University of Houston2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany2
School of Information Science, Japan Advanced Institute of Science and Technology, Asahidai 1-1, Nomi-shi, Ishikawa, Japan, 923-12112
Honda Research Insitute, USA2
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain2
Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India2
Konkuk University, Seoul, Korea2
Department of General Surgery, Carolinas Medical Center, United States of America2
College Of Engineering Trivandrum, India2
DIIn, University of Salerno, Fisciano (SA) - Italy2
Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
Visionlab at Heriot-Watt University, UK2
IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France2
University of Amsterdam , Amsterdam, The Netherlands2
Czech Technical University , Prague 2, Czech Republic2
RWTH Aachen , Aachen, Germany2
University of Missouri, Columbia, MO2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Road, Houston, TX 770042
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Dept. for Video Exploitation Systems (VID), Fraunhoferstr. 1, 76131 Karlsruhe, Germany2
Norwegian Biometrics Lab, NTNU, Gj⊘vik, Norway2
EURECOM Biot Sophia, Antipolis, FRANCE2
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil2
Mobile Perception Systems research cluster of the SPS/VCA Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, MB, The Netherlands2
Center for Autonomous Systems , Royal Institute of Technology, Sweden2
Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France2
Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran2
George Mason University, Department of Computer Science, Fairfax, Virginia2
MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France2
Institute of Informatics, UFRGS, Porto Alegre, Brazil2
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan2
GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye2
Nanyang Technological University, Singapore 6397982
BeingThere Center, Institute for Media Innovation, Nanyang Technological University, Singapore 6375532
Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 376732
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA2
German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany2
National Central University, Taoyuan County, Taiwan2
Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
Artificial Intelligence and Information Analysis Lab, Department of Informatics, Aristotle University of Thessaloniki, Greece2
University of British Columbia Department of Electrical and Computer Engineering2
Chalmers University of Technology, Goteborg, Sweden2
Torr Vision Group, University of Oxford, Oxfordshire, United Kingdom2
Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
Department of Computer Science, College of Information Engineering, Northwest A&F University, Yangling, China2
CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia2
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, Oregon, U.S.A.2
Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A.2
Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China2
Beijing University of Aeronautics and Astronautics, Beijing, China2
Faculty of Systems Engineering, Wakayama University, 930, Sakaedani, Wakayama-shi, 640-8510, Japan2
Computer Vision Laboratory, University of Nottingham, UK2
Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil2
Computer Laboratory, University of Cambridge, Cambridge, UK2
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh2
Computer Science and Technology, IIEST, Shibpur2
Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland2
Eindhoven Univ. of Technol., Netherlands2
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland2
New York University, New York, USA2
Computer Science Department at Stanford University, CA, 94309 USA2
Department of Electrical and Computer Engineering, University of Washington, Bothell, WA 980112
School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China2
Core Technology Center, OMRON Corporation, Kyoto, Japan2
TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany2
Institute of Measurement, Control and Microtechnology, Ulm University Albert-Einstein-Allee 41, Ulm, 89081, Germany2
Poznan University of Technology, Department of Computing, Division of Signal Processing and Electronic Systems, Poznan Poland2
Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye2
Boston University, USA2
Duke University, USA2
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047 Japan2
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Center for Automation Research, University of Maryland2
Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh2
Institute of Information Engineering, CAS, Beijing, China2
Majority Report, France2
College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China2
Computer Vision Lab, University of Central Florida. Orlando, USA2
Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China2
Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland2
Xiamen University, Fujian, China2
Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea2
Department of Engineering, University of Cambridge, UK2
School of Engineering, University of California, Merced, CA2
Pattern Recognition and Intelligent System Lab., Beijing University of Posts and Telecommunications, China2
Dept. of CSE, Annamalai University2
Department of Electrical and Information Engineering, Hunan University, Changsha, 410082, Hunan2
Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France2
Elektronik Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Protein Research Technology Center, Tsinghua University, Beijing, China2
Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China2
College of Engineering, Trivandrum, India2
Dept. of Computer Science, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Greece2
Dept. of Medical Physics, Medical School, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Greece2
Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi2
Computer Science Department, University at Albany, State University of New York2
Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France2
Lero - The Irish Software Research Centre, University of Limerick, Ireland2
School of IoT Engineering, Jiangnan University, Wuxi, 214122, China2
Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA2
Human Language Technology and Pattern Recognition Group, RWTH Aachen University, Aachen, Germany2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, 710049, China2
Toyota Motor Corporation, Japan2
Graduate School of IPS, Waseda University, Fukucka, Japan2
Department of Radiology, Wake Forest University Health Sciences, Winston-Salem, NC, USA2
IBM Hursley Labs, UK2
Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom2
Cornell University, Ithaca, United States2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada2
SUNY Binghamton, Binghamton, NY, USA2
School of Information Science and Technology, Jiujiang University, Jiujiang, China2
Computer engineering department, Sharif University of Technology2
Electrical-Electronics Engineering Department, Kirikkale University, Turkey2
Institute of Computer Science VI, Autonomous Intelligent Systems, University of Bonn, Germany2
Department of Computer Engineering & Informatics, University of Patras, 26500 Patras, Greece2
Dept. of Electrical Engineering and Computer Science, Syracuse University2
Beijing Etrol Technologies Co., Ltd, Beijing, China2
Department of Computer Science and Engineering, New York University2
Department of Computer Science, The University of Hong Kong, HongKong2
Academy of Broadcasting Science, Information Technology Institute, Beijing, China2
Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China2
Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA2
University of Illinois at Urbana-Champaign, 201 N Goodwin, 61820, USA2
Dept. of Electronics & Communication, Siddaganga Institute of Technology, Tumkur, India2
Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany2
CPGEI, Universidade Tecnologica Federal do Paraná2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, 65211, USA2
U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States2
School of Computing, Teesside University, Middlesbrough, UK2
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle, UK, NE1 8ST2
Nokia Bell Labs, Budapest, Hungary2
Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil2
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, Shenzhen, 518055 China2
WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, China2
Toyota Technological Institute2
Institut de Recherche en Systèmes Électroniques Embarqués Normandie, Univ, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France2
Department of Computer Science & Engineering, India Jadavpur University, Kolkata, India2
Department of Computer Science and Engineering, University of Notre Dame, IN 46545, USA2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong2
Laboratory of Computer Vision & Media Technology, Aalborg University, Niles Jernes Vej 14, Aalborg East, Denmark2
Faculty of Informatics, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil2
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4 AB, Canada2
Dept of Computer Engineering, Firat University, Elazig, Turkey2
Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium2
Microsoft Research Asia &Microsoft Corporation, Beijing, China2
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China2
IBM Thomas J. Watson, Research Center, Yorktown Heights, New York 10598, USA2
Research Centre for Computers, Communication and Social Innovation La Trobe University, Victoria - 3086, Australia2
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran2
INRIA Sophia Antipolis Meditérannée, Valbonne, France2
TCL Research America, San Jose, CA 95134, USA2
Dept. of Eng. Sciences and Appl. Mathematics, Northwestern University, Evanston, IL 60208, USA2
Robotics Institute, Computer Vision Group, Carnegie Mellon University, Pittsburgh, PA2
LDCSEE, West Virginia University, Evansdale Drive, Morgantown, 26506-6070, U.S.A.2
Computer Vision and Remote Sensing, Technical University, Berlin, Germany2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong2
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou Industrial Park, Suzhou, China2
Helsinki Institute for Information Technology HIIT, Department of Computer Science, Aalto University, Finland2
Dept. of Electrical and Computer Engineering, University of California, Riverside, USA, 925212
School of Computer Science and Technology, Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, China2
Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye2
School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China2
Dept. of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye2
Department of Electronics & Communication Engineering Mar Baselios College of Engineering & Technology Kerala, India2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Guangxi Key Laboratory of MIMS and the College of Computer Science and Information Technology, Guangxi Normal University, Guilin, China2
TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand2
University of Ulm, Ulm, Germany2
Arab Academy for Science and Technology - AAST, Egypt2
Dept. of Electronics Engineering, Pondicherry University, Puducherry, India2
Video/Image Modeling and Synthesis (VIMS) Laboratory, Department of Computer Science, University of Delaware, Newark, DE2
School of Automation, Beijing University of Posts and Telecommunications, Beijing, China2
Superintendência de Tecnologia da Informação, University of São Paulo2
Escola Politécnica, University of São Paulo2
School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil, 13083-8522
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
Department of Mechanical Engineering, Istanbul Technical University, İnönü Caddesi, Beyoğlu / İstanbul2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Computer Science Department, Boston University, Boston, USA2
Google, Seattle, USA2
CAS, Key Lab of intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China2
Department of Information Systems and Cyber Security and the Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA2
Electronics & Telecommunications Research Institute (ETRI), Daejeon, Korea2
Elektrik ve Elektronik Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye2
Massachusetts General Hospital, Boston, MA, USA2
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA2
Institute of Mathematics, JiLin University, Changchun, China2
IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan2
Department of Statistics, Florida State University, Tallahasse, FL, USA2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
Computer Science and Engineering, Washington University in St. Louis2
Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada2
Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan2
International Computer Science Institute (ICSI), Berkeley, CA, USA2
LEAR team, Inria Grenoble Rhone-Alpes, France2
Software School, Xiamen University, China2
University of South Florida2
Concordia University, Montreal, Canada2
University of Wisconsin-Madison, Madison, WI, USA2
Dept. of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hongshan, Wuhuan, Hubei 430074, China2
University of Science and Technology of China, Hefei, People’s Republic of China2
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan 97401, R.O.C.2
Fujitsu R&D Center Co.,LTD, Beijing, China2
Jiujiang University, Jiujiang, China2
Inria, Villers-les-Nancy, France2
Korea Advanced Institute of Science and Technology, Department of Electrical Engineering, 373-1 Guseong-dong, Yuseong-gu, Daejeon, 305-701, Korea2
IBM Research - Zürich, 8803 Rüschlikon, Switzerland2
University of Chinese Academy of Sciences, Beijing, 100049, China2
Dept. of Information & Telecommunications Engineering, Ming Chuan University, 5 De-Ming Rd., Gui-Shan Township Taoyuan County 333, Taiwan2
UC Berkeley EECS, USA2
Department of d’Informàtica, Universitat de València, Valencia, Spain2
Institution for Infocomm Research, Connexis, Singapore2
Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China2
EPFL, Lausanne (Switzerland)2
ETHZ, Zurich (Switzerland)2
Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India2
Department of Computer Science, UNC Chapel Hill, NC, 275992
School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia2
Beihang University, School of Electronic Engineering, Beijing, China2
Pontifical Catholic University of Rio Grande do Sul2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of Shanghai for Science and Technology, 200093, China2
School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil2
School of Computer Science and Software Engineering, MoE Engineering Center for Software/Hardware Co-Design Technology and Application, East China Normal University, Shanghai 200062, China2
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India2
Electrical Engineering Sharif University of Technology Tehran, Iran2
İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan2
Department of Computer Science, University of Notre Dame, Notre Dame, IN, USA2
Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile2
University of California, Riverside, 92521, United States of America2
Sichuan Police College, Luzhou, China2
Automotive Technology, Technical University of Munich, Garching b. München, Germany2
BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye2
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK2
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Visual Computing Institute, RWTH Aachen University, Germany2
Social Robotics Laboratory, University of Freiburg, Germany2
Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran2
Department of Signal Processing, ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden2
College of Information Science and Engineering, Dalian Maritime University, Dalian 116026, China2
London Healthcare Sciences Centre, London, ON, Canada2
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA2
Nanjing University of Science and Technology, Xiaolingwei, Xuanwu, Nanjing, China2
University of Victoria, Victoria, BC, Canada2
MPI Informatics, Saabrucken2
Caltech, Pasadena2
ENTC dept., Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India2
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA2
JKU, Linz, Austria2
Artificial Vision Laboratory National Taiwan University of Science and Technology2
The Blavatnik School of Computer Science, Tel-Aviv University2
Computer Engineering Department, İnönü University, Malatya, Turkey2
Hacettepe University, Ankara, Turkey2
Cooperative Medianet Innovation Center, Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, Shanghai, China2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Computer and Software Engineering Department, Toros University, Mersin, Turkey2
Department of Electronic Engineering, City University of Hong Kong, Hong Kong2
School of Mathematical Sciences, Anhui University, Hefei, China2
Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey2
School of Computer Science, Carnegie Mellon University, USA2
Department of Computer and Information Science, Gannon University, Erie, PA 16541, USA2
University of Pittsburgh, Pittsburgh2
FORTH, Greece, Heraklion, Greece2
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany2
Oxford-Man Institute of Quantitative Finance, University of Oxford, UK2
College of Electronic and Information Engineering, South China University of Technology, Guangzhou, China2
Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland2
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, U.K2
Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokrit ...2
University of Sousse, Tunisia2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Technical University Munich, Garching, Germany2
Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia2
Department of Informatics, Federal University of Paraná, Curitiba, Brazil2
Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil2
SiMiT Lab, Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, Japan2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Dept. of CSEE, University of Maryland, Baltimore County, Baltimore, MD 212502
Department of Computer Science and Engineering, Toyohashi University of Technology2
Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
CSE Department, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey2
Polytechnic School, University of Pernambuco, Recife, Brazil2
School of IoT Engineering, Jiangnan University, Wuxi 214122, China2
INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France2
Microsoft Research, Beijing , China2
Department of Communications and Computer Engineering, University of Malta, Msida, MSD, Malta2
BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA2
Institute of Geodesy and Geoinformation, University of Bonn, Germany2
School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China2
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China2
University of KwaZulu-Natal, Durban, South Africa2
Department of Computer Science & Information Engineering, University of Trento, Italy2
National Technical University of Athens, Athens, Greece2
MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia2
School of Industrial Engineering, Purdue University, West Lafayette, IN, USA2
Academy of Broadcasting Science, Beijing, P.R. China, 1008662
University of Twente, Enschede2
Department of Electrical and Computer EngineeringNational University of Singapore2
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC2
Graduate School of Electrical Engineering, University of Ulsan, Korea, 446102
Department of Computer Science and Information Engineering National Taiwan Normal University2
Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan2
Dept. of Comp. Sci, National Chiao Tung University, Hsinchu, Taiwan2
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-18162
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Università degli Studi di Milano, Milan, Italy2
MERC, Department of Computer Science, City University of Hong Kong, China2
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China2
Institute of Comp. & Comm. Engineering, EE Department, National Cheng Kung University, Tainan, Taiwan2
Department of Computer Science, University of Maryland, College Park, MD2
Department of Computing and Software, McMaster University, Hamilton, Canada2
Eskişehir Osmangazi University2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA2
Indian Institute of Technology, Madras, Chennai-36, India2
School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China2
School of Information Engineering, Chang’an University, Xi’an, China2
University of California: Berkeley, Berkeley, CA2
College of Information, Hunan University of Humanities, Science and Technology, Loudi, China2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
National Key Laboratory of Science & Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China2
University of Southern California-USA2
Eurecom-France2
Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran2
Samovar CNRS UMR 5157, Télécom SudParis, Université Paris-Saclay, Evry, France2
NCSR Demokritos, Greece2
College of Computer Science and Technology, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China2
Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie2
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R. China2
Beijing E-Hualu Info Technology Co., Ltd, Beijing, China2
University of California, Merced, CA, 5200, US2
Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran2
Department of Intelligent Robot System Research Team, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea2
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore2
Computer Science Department Technical University of Cluj-Napoca2
Odessa National Polytechnic University Odessa, Ukraine2
China Airborne Missile Academy, Luoyang, China2
Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
University of Calgary, Calgary, AB2
Department of Computer and Information Sciences, Northumbria University, Newcastle, UK2
Amsterdam Machine Learning Lab, University of Amsterdam, The Netherlands2
Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China2
Computer Science and Systems Engineering Department, University of Zaragoza, Spain2
DCC, Pontificia Universidad Católica de Chile, Santiago, Chile2
The University of Edinburgh, Edinburgh, U.K.2
Electrical Engineering Department, University of Chile, Santiago, Chile2
Université Paris-Saclay, Paris2
SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia2
Department of Electrical and Computer Engineering, Khalifa University, Sharjah, UAE2
Yunnan University, Kunming, Yunnan, China2
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China2
National Institute of Standards and Technology (NIST), Gaithersburg, MD2
School of Computing, KAIST2
Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology2
HSA Systems, Aalborg Denmark2
NUDT, State Key Laboratory of High Performance Computing, Changsha, 410073, China2
Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany2
Department of Frontier Informatics, School of Frontier Sciences, The University of Tokyo, 701 Kiban Bldg. 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan2
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan2
Institute of Management and Information Technologies, Chiba University, Chiba, Japan2
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China2
Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 1001902
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China2
Centre de Visió per Computador Universitat Autònoma de Barcelona Bellaterra, Barcelona 08193, Spain2
Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong2
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania2
I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain2
Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China2
Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)2
College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China2
College of Electronics and Information Engineering, University of Sichuan, Chengdu, china2
University of Ontario Institute of Technology, Oshawa, ON, Canada2
Max Planck Institute for Intelligent Systems, Tübingen, Germany2
College of Information Science and Technology, Beijing University of Chemical Technology, China2
Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia2
Department of Electrical Engineering and Information Technology, Technische Universität München, Arcisstr. 21, 80333 Munich, Germany2
School of Aeronautics & Astronautics, Shanghai Jiao Tong University, 200240, China2
Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia2
Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing 100084, China, and the Tsinghua National Laboratory for Information Science and Technology, Beijing, China2
Computer Vision Center, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain2
Computer Vision Center, Universitat Autònoma de Barcelona , Cerdanyola del Vallès, Spain2
Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India2
Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania2
Computer Science Department, Technical University of Cluj Napoca2
Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan2
Michigan State University, East Lansing, USA2
Electrical and Computer Engineering Department, University of Windsor, Ontario, Canada N9B 3P42
Computer Vision and Robotics Research Laboratory, University of California San Diego, USA2
Panasonic Silicon Valley Laboratory, USA2
Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain2
Shinshu Univ., Faculty of Eng.2
Univ. of Kitakyushu, Faculty of Environmental Eng.2
EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China2
Department of Computer Engineering, Yazd University, Iran2
Quaid-i-Azam University, Islamabad, Pakistan2
Bilgisayar Mühendisliği Bölümü, Karlsruhe Teknoloji Enstitüsü, Almanya, Turkey2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey2
Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan2
Dept. of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus SW7 2AZ, UK2
Electrical Engineering Department, Semnan University, Semnan, Iran2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Laboratory of Electronics, Information and Image, CNRS, University of Bourgogne Franche-Comte, Belfort, France2
Honda Research Institute Europe GmbH, Offenbach am Main, Germany2
Department of Information Science and Engineering, Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China2
Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 105202
University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam2
Department of Electrical and Computer, Engineering, University of Denver, Denver, CO 802082
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan; Deep Learning Laboratory, National Center of Artificial Intelligence (NCAI), Islamabad, Pakistan2
Department of Computer Sciences, University of Texas at San Antonio, San Antonio, TX, USA2
Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea2
Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea2
University of St Andrews, St Andrews, KY16 9SX, UK2
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, MALAYSIA2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
ITM University, Gwalior, India2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
Delphi Deutschland GmbH2
Bergischen Universitat Wuppertal2
Schools of Arts, Media, Engineering, and Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, USA2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China2
HRL Laboratories, LLC, Information Systems and Sciences Lab, Malibu, CA 90265 USA2
Lancaster Environment Centre, Lancaster University, Lancaster, U.K.2
University of Delaware, Newark, DE2
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
National Institute of Advanced Industrial Science and Technology, Umezono 1-1-1, Tsukuba, Japan2
Department of Electrical, Computer and IT Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran2
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey2
The University of Texas at Arlington, Arlington, TX, USA2
Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China2
B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India2
LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France2
Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, Hollanda2
Department of Computer Science, IIT Kanpur2
University of Kentucky Department of ECE Lexington, Kentucky2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Department of Industrial Engineering, University of Salerno, Fisciano, Italy2
Department of Mechanical Engineering, Politecnico di Milano, Italy2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey2
Computer Vision Institute, School of Computer Science and Software Engineering, and the Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen, China2
GREYC, CNRS UMR 6072, Université de Caen, France2
IIT Indore-452020 India2
Institute of Digital Media, Peking University, Beijing, 100871, China2
College of software, University of Science and Technology Liaoning, Anshan, 114051, China2
Cornputer Vision Research Lab, Robert Bosch GmbH, Hildesheim, Germany2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
School of Information & Engineering / Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China2
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 5151342
Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China2
Technion2
Depart. of Electronic Engineering, University of Science and Technology of China, China2
Key Laboratory of Machine Perception School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA2
Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil2
Department of Computer Engineering, Vishwakarma Institute of Information Technology, Kondhwa (Bk.), Pune 411048, India2
Department of Electronics, Polytechnic School, University of Alcalá, Madrid, Spain2
Department Computer Science, Loughborough University, Loughborough, LE11 3TU, UK2
University of Central Lancashire, Preston, United Kingdom2
Linkoping University, Sweden2
Foundation for Research and Technology - Hellas, FORTH, Crete, Greece2
Institute of Clinical Physiology, IFC-CNR, Pisa, Italy2
Department of Computer Science, Okayama University, Okayama, Japan2
School of Mechanical Engineering, Dalian University of Technology, Dalian, China2
KCIS, Robotics Research Center, International Institute of Information Technology, Hyderabad, India2
KCIS, Center of Visual Information Technology, International Institute of Information Technology, Hyderabad, India2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO 652112
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain2
Center for Quantum Computation and Intelligent Systems, University of Technology Sydney, Ultimo, NSW, Australia2
Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 482022
Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China2
Institute of Electrical Control Engineering, National Chiao Tung University, Taiwan, Republic of China2
Center for Digital Media Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, China2
Software Engineering Institute, East China Normal University, Shanghai, China2
IBM Research, China2
POSTECH, Department of Electrical Engineering, Pohang, Korea2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Chiba University, Japan2
Chair for Computer Aided Medical Procedures (CAMP), TU Munich, Boltzmannstr 3, Munich, 85748, Germany2
Department of Science and Technology, Keio University, Kanagawa, Japan2
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy2
Institute for Computer Graphics and Vision, Graz University of Technology - Austria2
Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China2
Visual Processing and Understanding Lab, Universidad Autónoma de Madrid2
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer, Science and Technology, Beijing University of Technology, Beijing, China2
University of Saskatchewan, Saskatoon, SK, Canada2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Northeastern University, Shenyang, Liaoning, China2
Hebei University, Hebei, China2
Computer Vision Center, Edifici O, Campus de la UAB, Spain2
Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland2
National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China2
Institute of Computer Science, University of Göttingen, Germany2
Department of Robotics Science and Technology, Chubu University, Kasugai, Aichi, Japan2
Computer Science dept. Technion, Haifa 32000, Israel2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, United States2
University of Pennsylvania, Philadelphia, 19104, United States2
Tsinghua–Chinese University of Hong Kong Joint Research Center for Media Sciences, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
University of Michigan, Ann Arbor, MI 48109, USA2
Department of Electrical and Computer Engineering at the Stevens Institute of Technology, Hoboken, NJ, USA2
Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island, Kingston, USA2
Dept. of Electron. & Inf. Eng., Honu Kong Polytech. Univ., Hong Kong, China2
Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany2
Dept. Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, 1-8 Yamadaoka Suita, 565-0871 Japan2
The Center for Advanced Medical Engineering and Informatics, Japan2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, San Diego, CA, USA2
Joanneum Research Steyrergasse, Graz, Austria2
Institute of Computing, University of Campinas, Campinas-SP, Brazil, 13083-8522
DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy2
DAEIMI, University of Cassino, Cassino (FR), Italy2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
Department of Psychology and the Center for Brain Science, Harvard University, Cambridge2
School of Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and the Center for Brain Science, Harvard University, Cambridge2
National Institute of Technology, Srinagar, India2
University of Hawaii at Hilo, HI, USA2
Yuncheng University, Shanxi Province, China2
University of Lincoln, Lincoln, UK2
Division of Graduate Studies of Tijuana Institute Technology, Mexico2
Intel Labs China, Intel Corporation, Beijing, 100086, China2
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci.& Tech., Tsinghua University, Beijing, 100084, China2
Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
MICC - University of Florence, Italy2
Department of Computer Science and Engineering, Dankook University, Yongin, South Korea2
Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil2
Department of Electronics, University of Batna, Batna, Algeria2
Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia2
Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy2
Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States2
College of Communication Engineering, Chongqing University, China2
National Inter-University Consortium for Telecommunications - Florence, Italy2
Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany2
NUS, Singapore, Singapore2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia2
Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Department of Biology, University of North Dakota, Grand Forks, North Dakota 582022
Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 582022
Chung-Shan Inst. of Science and Tech., China2
Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland2
Department of Computer Science and Engineering, University of Minnesota2
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA2
Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia2
Intelligent Systems Division, National Institute of Standards and Technology, Gaithersburg, MD, USA2
Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 618012
Digital Media Research Center, Institute of Computing Technology, CAS, China2
UCL Interaction Centre, Faculty of Brain Sciences, University College London, London, United Kingdom2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Research School of Computer Science, The Australian National University, Canberra, ACT, Australia2
Department of Mechanics, Mathematics and Management, Politecnico di Bari, viale Japigia 182, Italy2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
Department of Computer Science, University of Jaffna, Sri Lanka2
Rochester Institute of Technology, Rochester, New York, 14623, USA2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Tsinghua University and DeePhi2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Scripps Institution of Oceanography}, University of California, San Diego2
Department of Computer Science and Engineering2
Computer Vision Center, Barcelona, Spain2
Centre of Image & Signal Processing, Fac. Comp. Sci. & Info. Tech., University of Malaya, Malaysia2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China2
Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea2
Star Technologies, USA2
University of the Witwatersrand2
Department of Computer Science at Rutgers University, NJ, USA2
College of Computer Science at Chongqing University, Chongqing, PRC2
Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan2
Queen's University, Belfast, UK2
Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany2
Civil Aviation University of China, Tianjin, China2
Technische Universität Wien, Austria2
IMIS, Athena R.C., Greece2
Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, South Korea2
University of Bristol, Bristol, United Kingdom2
Department of Computer Science, Edge Hill University2
Intelligent Systems Laboratory, SECOM, Tokyo, Japan2
Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand2
Department of Computer Engineering, MIT Pune, India2
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany2
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore 639798, Singapore2
Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain2
Department of Computer Science and UMIACS, University of Maryland, College Park, Maryland, USA2
School of Computer Science, Northwestern Polytechnical University, Xi'an2
Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA2
Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China2
Institute of Automatic Control Engineering (LSR), TU München, Germany2
Image Understanding and Knowledge-Based Systems, TU München, Germany2
National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China2
Faculty of Engineering and Information Technology, University of Technology Sydney, Australia2
State Grid Zhejiang Ninghai county power supply company2
College of Control Science and Engineering, University of Zhejiang2
School of Information Science and Engineering Ningbo Institute of Technology, Zhejiang University Ningbo, Zhejiang Province, 315100, China2
Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
School of Computing, University of Dundee, Dundee, U.K.2
Zhejiang Wanli Univ., Ningbo2
M.Tech, DC, KITS, KU, INDIA2
CS Dept., UFMG & Kunumi, Brazil2
CVPR Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, INDIA2
School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia2
Mobile Robotics Group, Dept. Engineering Science, University of Oxford, UK2
Shenzhen University, Shenzhen China2
School of information Engineering, Zhengzhou University, China2
Faculty of Science and Technology, University of Souk Ahras, Algeria2
Department of Computer Science, University of Bejaia, Algeria2
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE2
Inst. of Digital Commun., Edinburgh Univ., UK2
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China2
Visteon Corporation, Pune, India2
Laval University, Quebec City, Canada2
University of California, Berkeley, EECS Department2
Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA2
SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France2
School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China2
Concordia University, Montreal, QC, Canada2
GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France2
Purdue Univ., West Lafayette, IN, USA2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD2
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA2
College of William and Mary, Williamsburg, VA2
School of Information Technology, Halmstad University, Halmstad, Sweden2
Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain2
DMI College of Engineering Palanchur, Chennai, Tamilnadu2
Visual Analysis of People (VAP) laboratory, Aalborg University, Denmark2
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Portugal2
Center for Mathematical Imaging and Vision, and Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong2
Department of Computer Science and Numerical Analysis, University of Córdoba, Spain2
School of Computer Science, University of Adelaide, Adelaide, SA, Australia2
University of Colorado at Colorado Springs2
Department of Information Science and Technology, Jinan University, Guangzhou, China2
Leibniz Universität Hannover, Hannover, Germany2
Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan2
Dept. of Comp. Sci. and Tech., Shenzhen Graduate School, Harbin Institute of Technology, China2
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications 400065, China2
University of Ulsan, Graduate School of Electrical Engineering, Korea2
University of Illinois at Urbana, Department of Electrical and Computer Engineering, Beckman Institute, 405 N Mathews Ave, IL, 61801, USA2
University of Science, Vietnam National University, HCMC, Vietnam2
Sichuan Province Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA2
Le2i UMR 6306, CNRS, University of Burgundy, France2
National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan2
Department of Computer and Operations Research, University of Montreal, Montreal, Canada2
Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan2
Faculty of Information Science and Electrical Engineering (ISEE), Kyushu University, Japan2
Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Inf. Syst. Dept., Buckingham Univ., UK2
Korea Electronics Technology Institute2
School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024, China2
TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey2
School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia2
Department of Computer Science, University of Liverpool, Liverpool, United Kingdom2
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.2
Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada2
Key Laboratory of Intelligent Information Processing and the ICT-ISVISION Joint Research and Development Laboratory for Face Recognition, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Department of Computing Science, University of Alberta, Edmonton, Alberta Canada2
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences , Beijing, China2
Beijing University of Civil Engineering and Architecture, Beijing, China2
The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information2
Department of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea2
Department of Information and Computer Science, Aalto University, Aalto, Finland2
Toyota Research Institute, Cambridge, MA 02142, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, ODTÜ, Ankara, Türkiye2
NICTA, Locked Bag 8001, Canberra, Australia2
Computer Science Department, Columbia University, 450 Mudd Hall, 500 West 120 Street, New York, NY 100272
Department of Computer Science, Wayne State University, Detroit, MI, USA2
JOANNEUM RESEARCH, Graz, Austria2
Laboratory of LESIA, University of Biskra, Algeria2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Hong Kong Polytechnic University, Kowloon, Hong Kong2
Institue of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, China2
Dept. of Mechanical Engineering, The University of British Columbia, Vancouver, V6T 1Z4, Canada2
Department of Computer Science, Duke University, Durham, NC, USA2
Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia2
University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J72
SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia2
Georgia Tech Research Institute, USA2
Department of Mechanical and Aerospace Engineering, Navigation and Electronic System Laboratory, Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South Korea2
New Mexico Consortium, Los Alamos, USA2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China2
Shanghai Engineering Research Center for Video Technology and System, Fudan University, Shanghai, China2
Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama 226-8503, Japan2
Keio University, Kanagawa, Japan2
Arizona State University, 4600 S. Dobson Road, Chandler, AZ 852482
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China2
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen 361005, China2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, China2
Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece2
Artificial Vision Laboratory, Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan2
Intel Labs, Hillsboro, OR, USA2
PAL Robotics, Barcelona, Catalunya, Spain2
Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA2
School of Engineering, RMIT University, Melbourne, VIC 3083, Australia2
University of California at Merced, Merced, USA2
Technische Universität München, Garching, Germany2
State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China2
Institute of Software Chinese Academy of Sciences (ISCAS)2
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong2
Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran2
Department of Electrical Engineering, Federal University of Technology, Curitiba, Paraná, Brazil2
Thiagarajar College of Engineering, Madurai, TN 625015 India2
IFRJDL, Institute of Computing Technology, CAS, P.O.Box 2704, Beijing, China, 1000802
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
School of Engineering and Computing, University of the West of Scotland, Paisley, U.K.2
Kansai University Japan2
The Center for Advanced Computer Studies (CACS) University of Louisiana at Lafayette, LA, USA2
Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China2
Design Engineering Research Group (GRID), Universidad EAFIT, Medellin, Colombia2
Computer Science Department, University of Southern California, Los Angeles, 90089, United States of America2
ECE Department, Carnegie Mellon University, USA. msavvid@ri.cmu.edu2
School of Computer Science and Software Engineering, East China Normal University, Shanghai, China2
Department of Electrical Engineering, University of Texas, Arlington, TX, USA2
Netaji Subhas Inst. of Technology, New Delhi, India2
Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France2
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China2
Academy of Broadcasting Science, Beijing, China, 1008662
Department of Electronic Engineering, The Chinese University of Hong Kong, N.T., Hong Kong SAR, China2
Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam2
Graduate School of Medicine, Osaka University2
Health Care Center, Osaka University2
LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany2
G. H. Raisoni Institute of Engineering And Technology for Women, Nagpur, Maharashtra, India2
Department of Electrical Engineering, National Cheng Kung University, Taiwan2
College of Computer Science and Technology Wuhan University of Science and Technology, Wuhan, China2
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey2
Language and Media Precessing Laboratory, University of Maryland, U.S.A.2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Indiana University of Pennsylvania, Indiana, PA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong2
M.S. Ramaiah Institute of Technology, Bangalore, India2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
National Chiao-Tung University, Hsinchiu, Taiwan2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.2
Department of Geography, Chiang Mai University, Chiang Mai, Thailand2
Department of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, U.K.2
Department of Biomedical Sciences, NeuroChip Laboratory, University of Padova, Padua, Italy2
Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh2
UC Berkley UC Berkley, Berkeley2
University of California, Berkeley, Berkeley2
University Politehnica of Bucharest, Romania2
Politecnico di Milano, Italy2
Google Inc2
Kakao corp., 242, Cheomdan-ro, Jeju-si, Jeju-do, Korea2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Chandigarh Engineering College, Landran, Mohali2
ECE, Chandigarh Engineering College, Landran, Mohali2
Northwestern University, Evanston, USA2
University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland, USA2
Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal2
NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Computer Science Department, University at Albany, SUNY, 12222, United States2
Systems Engineering Institute, MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, 710049, China2
CNRS, Irisa & Inria Rennes2
Hefei University of Technology, Hefei, China, China2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany2
National Institute of Informatics, Japan, Tokyo, Japan2
SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy2
Department of Computer, Control, and Management, Engineering, Sapienza University of Rome, Rome, Italy2
School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT, United Kingdom2
Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland2
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey2
Department of Computer Science and Applications, Bangalore University, India2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, PR China2
Dept. of Computer Science, Yonsei University, Seoul, South Korea, 120-7492
Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA2
Image Formation and Processing Group, Beckman Institute, University of Illinois at Urbana–Champaign, Urbana, IL, USA2
Shenzhen Institutes of Advanced Technology, The Chinese University of Hong Kong, Chinese Academy of Science, Shenzhen, 518055, China2
Graduate School of Integrated Design Engineering, Keio University, Yokohama, Japan2
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
University of Huddersfield, Huddersfield, West Yorkshire, UK2
School of Aeronautics and Astronautics, Sichuan University, Chengdu, China2
Hankou College, Wuhan, China2
Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway2
Electrical Engineering Department, Stanford University, USA2
Centre for Medical Image Computing and the Department of Computer Science, University College London, London, U.K.2
SATIE, Université Paris-Sud, Université Paris-Saclay, France2
Robert Bosch GmbH, Stuttgart, Germany2
Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 951122
Department of Computer Applications, Bharathiar University, Coimbatore, Tamil Nadu, India2
Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain2
La Salle, Universitat Ramon Llull. Barcelona 08022, Spain2
Center of Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, Oulu, Finland2
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Centre for Autism Research, Philadelphia, US2
University of Cambridge2
Computer Engineering Department, Sharif University of Technology, Tehran, Iran2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA2
Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia, USA2
School of Information Science and Technology, Huaqiao University, Xiamen, China2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
Transmural Biotech, Barcelona, Spain2
Human Language Technology and Pattern Recognition Group, RWTH Aachen University2
CSIRO-Data61, Canberra, Australia2
Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy2
Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China2
Fac. of Sci., Amsterdam Univ., Netherlands2
University of South Florida, Tampa, USA 336202
Department of Multimedia Communications, EURECOM, Sophia Antipolis, France2
Shenzhen Graduate School, Harbin Institute of Technology, China2
Dept. of ECSE, Rensselaer Polytechnic Institute, USA2
Visual Inf. Process. Group, Imperial Coll. London, UK2
INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France2
Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece2
Dept. of Computer Science, University of Calgary, Canada2
Department of Computer and Information Sciences, Temple University2
Department of Computing Sciences, Elon University2
Mathematics and Computer Science Dep, Amirkabir University of Technology, Tehran, Iran2
IBM Research-China, Beijing, China2
Sch. of Inf., Wuyi Univ., Guangdong, China2
University of Cagliari, Italy2
Xi An Jiaotong University, China2
Department of Digital Media, Catholic University of Korea, Bucheon, South Korea2
The Interdisciplinary Center Herzliya, Israel2
Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey2
School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China2
Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA2
Department of Computer and Radio Communications Engineering, Korea University, Seoul, 02841, Korea2
Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran2
Fraunhofer IOSB, Karlsruhe, 76131, Germany2
College of Intelligence and Computing, Tianjin University, Tianjin, China2
the Chinese University of Hong Kong, Hong Kong2
Sichuan University, China2
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Romania2
Vision and Sensing, Human-Centred Technology Research Centre, University of Canberra, Canberra, Australia2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
Sharif University of Technology, Iran2
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, Turkey2
Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA2
School of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA2
School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA2
Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China2
Beijing FaceAll Co. Beijing, China2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France2
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW-2795, Australia2
Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China2
Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA2
Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China2
Image Processing and Analysis Laboratory, Applied Electronics and Information Engineering Department, University “Politehnica” of Bucharest, Romania2
Vellore Institute of Technology, Chennai, Tamil Nadu2
National Institute of Technology, Rourkela2
Bilgisayar Mühendisliği Bölümü, Ankara Üniversitesi, Gölbaşı 50.yıl Yerleşkesi Bahçelievler Mh., 06830 (Ankara, Türkiye)2
School of electrical and information, South China University of Technology, Guangzhou, China, 5106602
ENET'COM-SFAX, Tunisia2
Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan2
Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand2
Computer Science Department, State University of New York at Binghamton, USA2
Institute of information science, Beijing jiaotong University, Beijing, China2
Dept. of Computer Science and Information Engineering, National Taipei University2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China2
Liverpool University, UK2
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, People’s Republic of China2
Graduate School of IPS, Waseda University, Kitakyushu, Japan2
Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand2
Multimedia Department, EURECOM, France2
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA2
Southeast University, School of Automation, Nanjing, China2
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan2
Washington University in St. Louis, MO, USA2
National Great Rivers Research and Education Center, Alton, IL, USA2
Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan2
Department of Electronics and Communication Engineering, Maharaja Surajmal Institute of Technology, Delhi, India2
Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
École de technologie supérieure, Université du Québec, Montreal, Canada2
Computer Science and Engineering Dept., University of Texas at Arlington, TX, USA2
Department of Electrical Engineering, University of Washington, 185 W Stevens way NE, Seattle, 98195, USA2
Department of Computer Science & Information Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Universidad Argentina de la Empresa (UADE), Lima 717, Buenos Aires, Argentina2
Tsinghua National Lab for Information Science and Technology, Beijing, China2
Department of Computer Science, Tsinghua University2
Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France2
Department of Computer Science and Engineering, University of Minnesota, USA2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi2
Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany2
School of Engineering, University of Warwick, Coventry, UK2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
RoboVision, Gent, Belgium2
Technology Campus De Nayer, EAVISE, KU Leuven, Belgium2
Department of Computer Science - University of Toronto, 10 King's College Road, Toronto, Canada2
Department of Computer Science, University of Cape Town, Cape Town, South Africa2
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan2
School of Electronic and Information Engineering, South China University of Technology, Guangdong, China2
Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
Department of Applied Mathematics, Yuncheng University, Yuncheng, China2
Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom2
MRT/KIT Karlsruhe, Germany2
ICMC/USP Sao Carlos, Brazil2
Harcourt Butler Technological Institute, Kanpur, INDIA2
Department of Computer Science & Engg., Rama University, Kanpur, INDIA2
Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany2
ETH Zurich2
Institute of Information Science, Beijing Jiaotong University, 10044, China2
Anadolu Üniversitesi Elek. Elektronik, Mühendisliği Bölümü Eskişehir, Türkiye2
Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye2
State Key Laboratory of High Performance Computing, NUDT, Changsha, 410073, China2
Science and Technology on Parallel and Distributed Laboratory, NUDT, Changsha, 410073, China2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
IETR, CNRS UMR 6164, Supelec, Cesson-Sevigne, France2
Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University , Paris, France2
Chungnam National University, Daejeon, South Korea2
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA2
Department of Applied Electronics and Information Engineering, University “Politehnica”, Bucharest, Romania2
School of Engineering Newcastle University, ISC Research Group, UK2
Department of Electrical Engineering, Indian Institute of Science, Bangalore, 560012, India2
Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece2
Tel Aviv University, Tel Aviv-Yafo, Israel2
Center for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, NSW, Australia2
Grenoble University, France2
University of Technology, Sydney, NSW, Australia2
Computer & Vision Research Center / Department of ECE, The University of Texas at Austin, USA2
School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China2
Engineering Mathematics - Computer and Systems Engineering2
College of Information and Software Engineering, Northeast Normal University, Changchun, China2
CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France2
Islamic Azad University, Abhar branch, Iran2
Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran2
SUPELEC/IETR, Team SCEE, France2
Department of Engineering Science, University of Oxford, Oxford, U.K2
Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran2
Department of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hatyai, 90112, Thailand2
BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil2
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing2
Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
Center for Research on Intelligent System and Engineering, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
School of Electronics and Information, Technology Sun Yat-Sen University, Guangzhou, 510006, China2
Department of Electrical and Computer EngineeringCollege of Engineering, University of Miami, Coral Gables, FL, USA2
Dept of Psychology, Tufts University, Medford, MA, USA2
DIIn, University of Salerno, via Giovanni Paolo II, 132, Fisciano - Italy2
Department of Mechanical Engineering, Politecnico di Milano, via La Masa, 1, Italy2
DIEI, University of Cassino and of Southern Lazio, (FR) - Italy2
Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye2
Department of Computer Science, Boston University, USA2
Department of Computer Science, National University of Emerging and Computer Science, Karachi, Pakistan2
Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea2
Division of Information and Computer Engineering, Ajou University, Suwon, Republic of Korea2
Department of Computer Engineering, Kyung Hee University, Suwon, Republic of Korea2
Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK2
Software School, Hunan University, Changsha 410082, China2
Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan2
School of Engineering and Digital Arts, University of Kent, Canterbury, UK2
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R. China2
Faculty of Science and Technology, Bournemouth University, Bournemouth, U.K.2
Department of Computer Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA2
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh PA 15213, USA2
Università degli Studi di Verona, Verona, Italy2
Center of Information & Network, Beijing Normal University, Beijing, P. R. China2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China2
Universita degli Studi di Palermo, Dipartimento di Ingegegneria Informatica, Viale delle Scienze, 90128, ITALY2
School of Computer Science, China University of Geosciences, Wuhan, 430074, China2
DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China2
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China2
CEA, Gif-Sur-Yvette, France2
UMR CNRS - Univ. Bourgogne, Dijon, France2
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, China2
Toyota Research Institute, North America, Ann Arbor, MI, USA2
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, United Kingdom, GU2 7XH2
College of Automation, Nanjing University of Posts and Telecommunications, China2
Department of Computer Science Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand2
Center for Robotics and Intelligent Machines, School of Interactive Computing, Georgia Institute of Technology, USA2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France2
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Canada2
Research Division, Anyvision, Belfast, U.K.2
ISSS, Heriot-Watt University, Edinburgh, U.K.2
SYSU-CMU Shunde International Joint Research Institute, Sun Yat-Sen University, Guangzhou, China2
Department of National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing, China2
Sch. of Software, Tsinghua Univ., Beijing, China2
School of Information Science and Engineering, Yunnan University, Kumming, China2
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN2
University of Central Florida, Orlando, FL, USA2
Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China2
DISI University of Trento, Povo - Italy2
Center for Machine Vision Research (CMV), University of Oulu, Finland2
Institute of Software, Dalian Jiaotong University, China2
School of Computer Science, CECS, Australian National University, Australia2
Computer Sciences at The University of Texas at Austin, 78712, USA2
Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland2
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Slovenia2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
DGIST, Hyeonpung-Myeon, Dalseong-Gun Daegu, South KOREA2
ECE. Department, University of Windsor, Windsor, Ontario, Canada N9B 3P42
University of Technology Sydney, Ultimo, NSW, Australia2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China2
Department of Computer Science, Universitat Oberta de Catalunya, Barcelona, Spain2
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany and the Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany2
Dept. of Electronics and Multimedia Telecommunications, Technical University of Kosice, Kosice, Slovakia2
Digital Security Department, EURECOM, Biot, France2
University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-452020 India2
Department of Computer Science, University of Mauritius, Reduit, Mauritius2
University of Science and Technology of China, NO.443, Huangshan Road, Hefei, Anhui, China2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China2
Baidu2
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia2
Union Visual Innovation Technology Co., Ltd., Shenzhen, China2
Division of Psychology and Language Sciences, University College London, UK, WC1E 6BT2
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA2
School Computer and Information, Hefei University of Technology, Hefei, China2
Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105202
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
The University of Tokushima, Tokushima 770-8506, Japan2
Biometric and Imaging Processing Laboratory (BIPLab)2
University of Naples Federico II2
Warsaw University of Technology2
Research and Academic Computer Network (NASK)2
SensoMotoric Instruments (SMI)2
Maastricht University2
Università di Salerno Italy2
University of Beira Interior, IT: Instituto de Telecomunicações2
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France2
Toyota InfoTechnology Center, U.S.A., Inc.2
Carmine Senatore Exponent, Inc.2
Department of ComputingBiometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong2
The University of Minnesota, Minneapolis, MN, USA2
Yahoo Labs, New York, NY, USA2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli - 620015, Tamil Nadu, India2
Technische Universität Darmstadt, Darmstadt2
Informatics Institute, University of Amsterdam, Science Park, Amsterdam, Netherlands2
Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, China2
Faculty of Telecommunications, Technical University of Sofia, Bulgaria2
Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India2
Jiangnan Institute of Computing Technology, Wuxi, China2
Dept. of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH, USA 45469-02322
Facebook AI Research (FAIR), Menlo Park, USA2
IBM Research Lab, China2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, ON, N9B 3P42
Faculty of Education, East China Normal University, Shanghai, China2
Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China2
Graduate Institute of Communication Engineering, National Taiwan University, Taiwan2
Samsung Research & Development Institute, Bangalore, India2
South China University of Technology, Guang Zhou, China2
Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, Georgia2
Electrical and Computer Engineering Department, Georgia Institute of Technology, Atlanta, Georgia2
Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan2
Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan2
The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I.2
Miami University2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Graduate Faculty of Information Science and Electrical Engineering, Kyushu University, Motooka, Nishi-ku, Fukuoka 819-0395, Japan2
Pennsylvania State University, University Park, PA2
Faculty of Engineering, International Islamic University, Jalan Gombak, 53100 Kuala Lumpur, Malaysia2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, 50603, Malaysia2
Karlsruhe Institute of Technology2
TTI-Chicago, USA2
Dept of Electric, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia2
UMIACS, University of Maryland, College Park2
Stony Brook University, Stony Brook, NY2
Learning Affect and SemantIc Imaging (LASII) Group, Indian Institute of Technology Ropar, India2
Department of CS&E, IIT Madras, India2
Australian Centre for Visual Technologies, School of Computer Science, The University of Adelaide, Adelaide, SA, Australia2
Department of Electrical and Computer Engineering, Seoul National University, Korea2
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University2
Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
ETH Zurich, Zurich2
Ind. Technol., Purdue Univ., West Lafayette, IN, USA2
Department of Electronics, Faculty of Electrical Engineering and Information Technology, University of Oradea, Universitatii Str.1, Oradea, Romania2
Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey2
School of Computing and Engineering, University of Huddersfield, Queensgate, HD1 3DH, United Kingdom2
AI Institute of Qihoo 360, Beijing, China2
National University of Defence Technology, Changsha 410000, China2
University of Alberta, Edmonton, Alberta2
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China2
Department of Computer Science, Pace University, New York, NY2
State University of New York at Binghamton, 13902, USA2
Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan2
Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.2
Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 770042
Department of Geography, George Washington University, USA2
Malviya National Institute of Technology Jaipur, India-3020172
Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia2
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, 430073, China2
PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India2
Biodata Mining Group, Technical Faculty, Bielefeld University, Germany2
Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi2
Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden2
Institute of Automation, CAS, Beijing, China2
Academy of Broadcasting Science, Beijing2
Faculty of Engineering & IT University of Technology, Sydney, Australia2
Queensland University of Technology (QUT), Australia2
School of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan, China2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey2
Biometrics Engineering Research Center, School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea2
Institute of Electronics and Computer Science, Riga, Latvia2
GE Global Research, Bangalore, India2
Delft University of Technology, Mekelweg 4, Netherlands2
IRIP, School of Computer Science and Engineering, Beihang Universtiy, Beijing 100191, China2
King Abdullah University of Science and Technology, V.C.C. Research Center, Thuwal 23955-6900, Saudi Arabia2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, 69134, France2
University of Rochester, NY 14627, USA2
The Center for Biol. & Computational Learning, Massachusetts Inst. of Technol., MA, USA2
Department of Perception Engineering, University of Tuebingen, Germany2
Department of Electrical Engine-ering, The Pennsylvania State University, State College, PA, USA2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Department of Computer Science and Engineering, Michigan State University2
IDIAP Research Institute, Rue Marconi 19, 1920 Martigny, Switzerland2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA2
Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria2
LAAS-CNRS and Universite Paul Sabatier, Toulouse, France2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
Queensland University of Technology, Brisbane, Australia2
University of Houston, Houston, TX2
College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China2
Electrical Engineering Department, University of São Paulo, São Carlos, Brazil2
Video/Image Modeling and Synthesis (VIMS) Laboratory, University of Delaware, Newark, DE, 19711, USA2
Adobe Research, Bangalore, India2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria2
University of Benghazi, Faculty of Information Technology(IT), Libya2
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy2
NanoComputing Research Laboratory, Rochester Institute of Technology, Rochester, NY 146232
EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Department of ECE, Concordia University, Montreal, Quebec, Canada2
Xidian University, Xi'an, China2
Govt. College of Engineering, Amravati, India2
School of Electrical Sciences, IIT Bhubaneswar, Bhubaneswar, India2
Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany2
School of Software, Henan University, Kaifeng, China2
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany2
Informatics Institute, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands2
Computer Vision Laboratory, ETH Zurich2
JD Finance, Beijing, China2
Shenzhen Graduate School, Harbin Institute of Technology, Xili University Town, Shenzhen, China2
LAMIA, EA 4540, University of French West Indies & Guyana2
Institut Telecom - Telecom ParisTech CNRS/LTCI, Paris2
Harbin University of Technology2
University at Albany, State University of New York, NY, USA2
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany2
University of Illinois at Chicago, Chicago, Illinois2
Merses, Center for Applied Research, Pforzheim University, Germany2
Dept. of Mathematics and Computer Science, University of Perugia, Italy2
Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy2
General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel2
Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China2
The University of Texas at Austin, Austin, TX, USA2
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China2
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
MPSTM, NMIMS University, Mumbai2
Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex2
Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP2
Enjoyor Labs, Enjoyor Inc., Hangzhou, China2
Microsoft Research, Cambridge, MA, USA2
Wuhan University of Technology, Wuhan 430070, China2
Center for Automation Research and the Department of Computer Science, University of Maryland, College Park, MD2
Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China2
University of Bochum, Institute for Neural Computation2
Dept. of Comput. Sci. & Eng., Michigan State Univ., USA2
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China2
Computational NeuroEngineering Laboratory, University of Florida, Gainesville, FL2
Toyohashi University of Technology, Aichi, Japan2
School of Electronic Engineering, Xidian University, Shaanxi, P. R. China2
International Research Institute MICA, Hanoi University of Science and Technology2
Department of Computing, Imperial College London, United Kingdom2
UNESP - São Paulo State University, Bauru, São Paulo2
TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany2
Chair of Materials Handling and Warehousing2
Department of Electronics, Graduate School of Engineering, Tohoku University, Japan2
School of Computer Engineering and Science, Shanghai University2
University of Sydney, Sydney, Australia2
Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway2
U.S. Army Research Laboratory, Adelphi, MD, USA2
Institute of Information Science, Academia Sinica, Taiwan2
NEC Labs America2
Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Beijing, 100044, China2
Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA2
Université de Technologie de Compiègne (UTC)2
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China2
Department of Computer Science, Texas State University, San Marcos, TX, USA2
Department of Computer Science and Engineering and Centre for Vision Research, York University, Toronto, Canada2
Center of Modern Education Technology, Changchun Chinese Medicine University, 130051, China2
School of Information and Engineering, Wenzhou Medical University, Wenzhou, China2
Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India2
There Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Universitat Politecnica de Valencia, Valencia, Spain2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China2
Faculty of Automation, Guangdong University of Technology, Guangzhou, China2
Video/Image Modeling and Synthesis (VIMS) Lab, Department of Computer and Information Sciences, University of Delaware, Newark, DE. USA2
Indian Institute of Technology Ropar, India2
Department of Electrical and Computer Engineering, University of Windsor2
SUPELEC / IETR, Avenue de la Boulaie, 35576 Cesson Sevigne, France2
Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China2
Australian Centre for Field Robotics, The University of Sydney, 2006, Australia2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
Department of Computer Science, The University of Hong Kong, Hong Kong2
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Key Laboratory for Machine Perception (KLMP), Shenzhen Graduate School, Peking University, China2
University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France2
CNRS, IMB, UMR 5251, Talence, France2
UMR 5800, CNRS, LaBRI, Talence, France2
UMR 5800, University of Bordeaux, LaBRI, Talence, France2
UMR 5800, Bordeaux INP, LaBRI, Talence, France2
UMR 5800, LaBRI, Talence, France2
College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia2
Department of Advanced Systems Control Engineering, Saga University, Japan2
Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea2
Szczecin University of Technology, Szczecin, Poland2
Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA2
Department of Computer Science and Engineering, CEG, Anna University Chennai, India2
Dept. of Electrical Engineering, National Taiwan University, Taiwan2
Department of Computer Science and Engineering, University of Washington, Seattle, 98195-2350, U.S.A.2
Tongji University, Shanghai 201804, P.R. China2
Department of Computer Science, University Of Central Florida2
Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan2
Image Processing and Interpretation, University of Gent2
Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria2
University of Colorado Boulder, Boulder, USA2
Frankfurt Institute for Advanced Studies, Dept. of Physics, Goethe-University Frankfurt2
Idiap Research Institute, 1920, Martigny, Switzerland2
Department of Instrumentation and Control, College of Engineering Pune, India2
School of Computer Science and Technology, Xidian University, Xi’an, China2
Signal Processing Group, Basis of Electronics Department, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania2
University of the Witwatersrand, Johannesburg, South Africa2
Visual Intelligence Laboratory, Electronics & Telecommunication Engineering Department, Istanbul Technical University2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia2
Department of Electronic EngineeringInstitute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China2
Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 73232
Beckman Institute for Advanced Science and Technology, Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 61801 U.S.A.2
Istanbul Technical, University (ITU), Turkey2
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan2
Senior Member, IEEE, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr, syoh@postech.ac.kr2
Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr2
Drexel University2
George Mason University2
Electrical Engineering Department Jadavpur University Kolkata, India2
Dept. of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 300132
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran2
Department of Electronics & Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476672
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: moukyou@buaa.edu.cn2
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, Malaysia2
Dept. of CSIE, National Taiwan University of Science and Technology, Taiwan2
Computer Engineering Kyung Hee University Yongin-si, South Korea2
Gipsa-Lab, Saint-Martin d'Hères, France2
Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan2
Research Center for Information Technology Innovation, Taipei, Taiwan2
Department of Computer Science, University of Houston, Texas 77004, United States2
Pohang University of Science and Technology, Pohang, South Korea2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
Department of Electrical and Computer Engineering, Carnegie Mellon University2
University of Science and Technology Beijing, Beijing, China2
School of Information Science and Technology, Beijing Institute of Technology, China2
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia2
Department of Computer Science, Swansea University, United Kingdom, SA2 8PP2
School of mechanical and material engineering, North China University of Technology, Beijing, CO, 100144, China2
Interactive & Digital Media Institute, National University of Singapore, Singapore2
Nanjing Tech University, Nanjing, China2
Departments of Computer Science, Boston University, Boston, MA 022152
Department of Computer Applications, National Institute of Technology, Tiruchirapalli, Tamil Nadu, India2
School of Information Engineering, University of Science and Technology Beijing, 100083, CHINA2
University of Bath, Anthropics Technology Ltd.2
IIEST, Shibpur2
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049, China2
Sapientia Hungarian University of Transylvania, Hungary2
Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany2
King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand2
Yahoo! Labs, Haifa, Israel2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Key Laboratory of Machine Perception (Ministry of Education), Peking University, China2
Center for Research in Computer Vision, University of Central Florida, Orlando, USA2
Graduate School and the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China2
University of Pennsylvania, Philadelphia, PA2
School of Automation, Shanghai Jiao Tong University, Shanghai, China2
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei2
Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China2
Intel Corporation, Hillsboro, OR 971242
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shanxi, P. R. China. University of Chinese Academy of Sc ...2
Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China2
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, People’s Republic of China2
Department of Computer Science and Technology, Tongji University, Shanghai, People’s Republic of China2
Department of Civil Engineering, The University of British Columbia, Vancouver, BC, Canada2
Institute for Infocomm Research at A*STAR, Singapore2
Faculty of Mathematics, University of Belgrade, Studentski Trg 16, 11000 Belgrade, Serbia2
Institute of Computing, University of Campinas, SP, Brazil, 13083-8522
DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy2
Indian Statistical Insitute, Kolkata 7001082
School of Information, Linyi Normal University, 276005, China2
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK2
Interactive Media Systems Group, Vienna University of Technology, Vienna, Austria2
IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA2
Computer, Electronic and Security Research Group, University of Northumbria2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, China2
Department of Computer Science and Engineering & Center of Superintelligence, Seoul National University, Seoul, Korea2
B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China2
Group Research, Daimler AG, Ulm, Germany2
University of Illinois’ Advanced Digital Sciences Center, Singapore2
Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland 20740 United States2
DITEN, University of Genova, Italy2
Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam2
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States2
School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany2
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
IETR/UMR CNRS 6164, INSA, Rennes, France2
University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam2
Department of Computer Science, California State University, Fullerton, California 92831, USA2
Luohu Branch, Shenzhen Municipal Public Security Bureau, Guangdong, China2
School of Computing, Informatics and Media, University of Bradford, Bradford, UK2
Rutgers University, Newark, NJ, USA2
Bilgisayar Mühendisliği Bölümü, Namık Kemal Üniversitesi, Tekirdağ, Türkiye2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
University of Groningen, Groningen, The Netherlands2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan2
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada2
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada2
Microsoft Research&University of Washington, Seattle, WA, USA2
School of Engineering, Sun Yat-sen University, Guangzhou, China2
Dept. of Computer Science, Courant Institute, New York University2
HEUDIASYC Mixed Res. Unit, Compiegne Univ. of Technol., France2
Vrije Universiteit Amsterdam, Amsterdam, NL2
Department of Computing and Communication Technologies, Oxford Brookes University, UK OX33 1HX2
Key Lab of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China2
German Institute for Artificial Intelligence & University of Kaiserslautern, Kaiserslautern, Germany2
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia2
Department of Computer Science, University of Toronto, Toronto, Canada2
Università di Salerno v. Ponte don Melillo, 84084, Fisciano (IT)2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece2
Department of Informatics and Telecommunications, University of Athens, Athens, Greece2
Multimedia Lab, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada2
St. Pölten University of Applied Sciences2
Wearable Computing Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland.2
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA2
Delft University of Technology, The Netherlands2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye2
Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece2
Machine Perception Laboratory, Beihang University, Beijing, 100191 China2
Fraunhofer IPK, Pascalstrasse 8-9, 10587 Berlin, Germany2
Science and Technology on Parallel and Distributed Processing Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China2
State University of New York at Buffalo, Buffalo, NY, USA2
Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
Tsinghua University, Department of Electronic Engineering, Beijing, China2
University of Texas at Arlington, Arlington, USA2
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia2
College of Machatronics Engineering, National University of Defense, Chang Sha, China2
Mobile Robotics and Intelligence Lab. (MORIN), the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
HumanRobot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea seojh2
Dept. of Computer Science and Digital Technologies, Northumbria University, Newcastle, UK, NE1 8ST2
Faculty of Electrical and Electronics Engineering, Firat University, Elazig, Turkey2
ETH Zurich, Zurich, Switzerland. leibe@vision.ee.ethz.ch2
School of Design, Zhejiang Wanli University, Ningbo, China2
Indiana University, Indianapolis, IN, USA2
Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Graduate University of Chinese Academy of Sciences, Beijing, China2
University of Texas at San Antonio, San Antonio, TX2
College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan2
Department of Computer Engineering, College of E&ME, National University of Sciences and Technology, Islamabad, Pakistan2
Center for Optical Imagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
School of Engineering, Griffith Univeristy, Queensland, Australia2
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia2
Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
EAVISE, Technology Campus De Nayer, KU Leuven, Belgium2
School of Information and Engineering, Wuyi University, Jiangmen 529020, Guangdong, China2
School of Automation, South China University of Technology, Guangzhou 510000, Guangdong, China2
Department of Computer Science, University of Kerala, Thiruvananthapuram, India2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark2
Carnegie Mellon University (CMU)2
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1308 West Main Street, 61801, USA2
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, Department of Mathematics, Menoufia University, Menoufia, Egypt2
USP - University of São Paulo / ICMC, SSC - LRM (Mobile Robots Lab.), São Carlos, 13566-590, Brazil2
Department of Electronics, University of York, Heslington, York, YO10 5DD, UK2
Department of Industrial Design, Eindhoven University of Technology Eindhoven, The Netherlands2
Department of Communications & Computer Engineering, University of Malta, Msida, MSD20802
University of California, San Diego; ATR, Kyoto, Japan2
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea2
Faculty of the Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., 61801, USA2
LIRIS, UMR 5205 CNRS, INSA-Lyon, F-69621, France2
Orange Labs, R&D, Meylan, France2
ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium2
Computer Science Department, University of Mossouri, 65211, USA2
School of Computer Science and Software Engineering, East China Normal University, 3663 Zhongshan North Road, Shanghai, China2
Delhi Technological University, Delhi2
Electrical Engineering, Indian Institute of Technology, Gandhinagar, India 3823552
Department of Computer Science, University of Canterbury, Christchurch, New Zealand2
University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy2
State Grid Zhejiang Electric Power CO. LTD, China2
Gazi Üniversitesi, Turkey2
University of Maryland, College Park, MD, 207422
Intelligent Fusion Technology, Inc, Germantown, MD, USA2
Faculty of Science and Technology, University of Macau, China2
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, USA2
TU Berlin2
Beijing Institute of Science and Technology Information2
College of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China2
School of Information Science and Technology, Huizhou University, Huizhou, China2
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia2
Indian Institute of Technology, Madras, India2
Xerox Research Centre Europe, Meylan, France2
Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK2
Miovision Technologies Inc., Kitchener, Canada2
Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands2
Vienna University of Technology, Institute of Software Technology and Interactive System, Favoritenstrasse 9/1882, Vienna, 1040, Austria2
Centre de Développement des Technologies Avancées, Algeria2
Department of EECS, Northwestern University, Evanston, IL, USA2
Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China2
Omron Social Solutions Co., LTD., Kyoto, Japan2
Dept. of Electronics and Communication Engineering, Hanyang University, Sangnok-gu, Korea2
INRIA Grenoble2
SPAWAR Systems Center Pacific, San Diego, California, USA2
Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Institut Fresnel, Université de Marseille, Marseille, France2
Department of Psychology/Brain Research Institute, Chungnam National University, 220, Gung-dong, Yuseong-gu, Daejeon, 305-765, S. Korea2
Department of Computer Science, The University of Liverpool, Liverpool, UK2
Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany2
University of Canterbury, Christchurch, New Zealand2
Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt2
School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Korea2
University of Calgary, Calgary, Canada2
Indian Institute of Technology, Kanpur2
College of Computer Science and Electronic Engineering, Hunan University, Changsha Hunan, P. R. China2
School of Automation, Shenyang Aerospace University, Shenyang, China2
Beckman Institute, University of Illinois at Urbana, Champaign, USA2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
College of Electronic Science and Engineering, Nanjing University, Nanjing, China2
School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan2
Infotech Oulu, Oulu Univ., Finland2
Computer Vision Laboratory, University of Sassari, Italy2
School of Electrical Engineering and Computer Science, Seoul National University, Korea2
School of Electronic and Informatics Engineering, Jiangsu University, Zhenjiang, China2
A*STAR, Singapore2
Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary2
School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India2
Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China2
The University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
University of Science and Technology of China, Hefei, P.R. China2
Jordan University of Science and Technology, Irbid, Jordan2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Texas 77204, USA2
Toyota Research Institute, North America, Toyota Technical Center, Ann Arbor, MI 48105, USA2
142
The Australian National University RSCS, ANU, Canberra, Australia2
Aristotle University of Thessaloniki, Dept. of Informatics Box 451, Thessaloniki 541 24, Greece2
Department of Psychology, University of Northern British Columbia, Prince George, Canada2
Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China2
Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany2
Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany2
Dept. of Electrical Engineering, LUMS, Pakistan2
Thales, Moirans, France2
School of Information Science and Engineering, Yunnan University, Kunming 650091, China2
Lincoln Centre for Autonomous Systems, School of Computer Science, University of Lincoln, Lincoln, U.K.2
Software School, Xiamen University, Xiamen, PR, 361005, China2
IIIT Bangalore, India2
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)2
Pittsburgh Univ., PA, USA2
University of Texas at Austin, Department of Computer Science, Austin, TX, 78712, USA2
Mitsubishi Electric Research Laboratories2
Columbia University, New York, NY2
Department of Information Engineering, the Chinese University of Hong Kong, Shatin2
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Department of Computer Science, Loughborough University, U.K.2
Başkent University, Ankara, TURKEY2
Department of Computer Science, Hong Kong Baptist University, China2
College of Information Science and Technology, Nanjing Forestry University, Nanjing, China2
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China2
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
Karlsruhe Institute of Technology, Germany2
Fudan University, China2
Iowa State University, USA2
OSRAM GmbH, Germany2
Intel, Nizhny Novgorod, Russia2
National Research Council, Italy2
Computer Vision and Remote Sensing, Berlin University of Technology, Sekr. FR 3-1, Franklinstr. 28/29, 10587, Germany2
Media Computing Group, St. Pölten University of Applied Sciences, Austria2
TeV, Fondazione Bruno Kessler, Trento, Italy2
Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia2
Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer and Information Science, Southwest University, Chongqing, China2
Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary2
Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China2
Harbin Engineering University, Harbin, Heilongjiang, 150001, China2
Friedrich Schiller University Jena, Jena, Germany2
Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386322
NRU Higher School of Economics, Moscow, Russia2
Toyota Research Institute, North America, Ann Arbor, USA2
Computer and Information Sciences Department, Temple University, Philadelphia, PA USA2
College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525-8577, Japan2
ATR Center, Wright State University, Dayton, Ohio2
National University of San Agustin - UNSA, Arequipa - Peru2
Brno University of Technology, Brno-střed, Czech Republic2
Deutsche Welle, Bonn, Germany2
GSI Universidad Polit-écnica de Madrid, Madrid, Spain2
Department of Industrial Design., Eindhoven University of Technology. Eindhoven, Netherlands2
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa - Genoa, Italy2
Department of Communication Engineering, Myongji University. South Korea2
Science and Engineering Faculty, Queensland University of Technology, Australia2
Computer Science and Automation, IISc, Bengaluru2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Automobile Transport Command Department, Military Transportation University, Tianjin, China2
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China2
Dept. of Computer Science and Engineering, Jagannath University Jaipur, Jaipur, India2
University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China2
Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India2
Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland2
Organization of Advanced Science and Technology, Kobe University, Japan2
Department of Electrical and Computer Engineering, Video Processing and Communication Lab, University of Missouri, Columbia, MO, USA2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 1196132
EURECOM, Campus SophiaTech, Sophia Antipolis, France2
Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea2
Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia2
Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore2
Department of Computer Science, Guangdong University of Technology, Guangzhou, China2
Shenzhen University, Shenzhen2
Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen2
Department of Computer Engineering, Ferdowsi University of Mashhad, Iran2
Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran2
Graduate University, Chinese Academy of Sciences and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Orange Labs International Center Beijing, Beijing, 100876, China2
Chinese Academy of Sciences, Beijing, P.R.China2
Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China2
Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA2
Yarmouk University, Jordan2
School of Business Northwest Normal University, Lanzhou, China2
Electrical Engineering Department, National Chung Hsing University, Taichung, Taiwan2
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100190, P. R. China2
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, USA2
University of Maryland, College Park, College Park, USA2
University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco2
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China2
University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany2
German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany2
College of Computer and Information Engineering, Henan University, Kaifeng, China2
State Key Laboratory of Software Engineering, Computer School, Wuhan University, Wuhan, China2
Johnson Controls Inc., Milwaukee, Wisconsin2
Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France2
CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia2
Department of Computer Science, Chengdu University of Information Technology, Chengdu, China2
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA2
POSTECH Pohang, Republic of Korea2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea2
Computer & Vision Research Center\Department of ECE, The University of Texas at Austin2
School of Electrical and Information Engineering, University of Sydney, Camperdown, NSW, Australia2
Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal2
Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands2
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, 100875, China2
Beijing Key Laboratory of Information Service Engineering, Beijing Union University, 100101, China2
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore, Singapore2
Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK2
The Hong Kong Polytechnic University, Hong Kong2
Harbin Institute of Technology, China2
Tsinghua University, China2
School of Electrical and Computer Engineering, Platform Technologies Research Institute, RMIT University, VIC 3001, Australia2
School of Electrical and Information Engineering, Shanghai University of Electric Power, Shanghai, China 2000902
Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA2
Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Koc University, Istanbul, Turkey2
Southwest Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 146232
Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA2
School of Electrical and Computing Engineering, University of Campinas, Campinas 13083-852, Brazil2
Department of Computing, Imperial College London, London, 180 Queen’s Gate, UK2
Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, 110016, China2
Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, 1100162
Department of Computing, Curtin University, Bentley, Australia2
Merses Center for Applied Research, Pforzheim University, Germany2
Bilgisayar Mühendisligi Bölümü, İstanbul Teknik Üniversitesi2
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
School of Computer and Information, Hefei University of Technology, 230009, China2
Escola Superior de Saude de Alcoitão, Alcoitão, Portugal2
Universidade NOVA Lisboa, Caparica, Portugal2
Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China2
University of Nottingham2
Department of Computer Science, University of North Carolina at Chapel Hill2
Australian Center for Visual Technologies, and School of Computer Science, University of Adelaide, Canberra, Australia2
IT Department, SSN College of Engineering, Chennai, India2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA 92093 USA2
Imperial College London, Department of Electrical and Electronic Engineering, UK2
INRIA Grenoble Rhône-Alpes, France2
College of Engineering, Swansea University, UK2
School of Information and Control engineering, Liaoning Shihua University, China2
Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada2
Universidade Federal do Paraná, Curitiba, Brazil2
Carleton University, Ottawa, Ontario K1S 5B6, Canada2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China2
Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, Korea2
Chinese Academy of Sciences, Xi'an, China2
PRaDA, Deakin University, Australia2
Department of Computer Science, Purdue University, West Lafayette, USA2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Department of Computer Science & Engineering, University of Washington, Seattle, 98195, USA2
Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, USA2
Trinity College Dublin, Dublin, Ireland2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria2
Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China2
Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, Boston University, Boston, USA2
Faculty of Computer Science, University "Alexandru loan Cuza" of Iaşi, Iaşi, Romania2
Department of Electrical and Computer Engineering, University of Missouri, Engineering Building West, Columbia, MO 65201, USA2
Michigan State University, East Lansing, MI2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany2
The Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK2
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines2
Beijing Faceall Technology Co.,Ltd, Beijing, China2
Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan2
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China2
Dept. of Computer Science and Electrical Engineering, GSST - Kumamoto University Kumamoto, Japan2
Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland2
Adobe Systems Inc, Noida, india2
Staqu Technologies2
Dept. Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China2
Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA2
BestImage Lab, Tencent Co., Ltd., Shanghai, China2
Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Department of Computer Science, New Jersey Institute of Technology, Newark2
IIT Madras, Adyar, Chennai, Tamil Nadu, India2
Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 0052
College of Mathematics and Physics, Bohai University, Jinzhou, China2
School of information engineering, university of science and technology, Beijing, 100083, China2
State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China2
Key Lab of Intel. Inf. Proc., Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France2
Fujitsu Laboratories Ltd, Kawasaki, Japan2
More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam2
Faculty of Electrical, Electronic, Computer and Control, Engineering - Computer Science, Lodz University of Technology, Lodz, Poland2
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA2
Computer Science Department, University of Illinois at Urbana-Champaign2
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece2
Dept. of IT CEC, Landran, Mohali, India2
Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China2
Schepens Eye Research Institute, Harvard University, Cambridge, USA2
Image Processing Center, Beihang University, Beijing, People’s Republic of China2
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA2
Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran2
Research & Innovation Center, Ford Motor Company2
Computer Science and Engineering, Rajshahi University of Engineering and Technology2
State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China2
Laboratoire d’Informatique en Image et Systèmes d’Information (LIRIS), Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées de Lyon (INSA), Université de Lyon, Lyon, France2
Shenzhen Sunwin Intelligent Corporation, Shenzhen, China2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany2
DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)2
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA2
School of Computer and Communication, LanZhou University of Technology, LanZhou, China2
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China2
Faculty of Automation, Guangdong University of Technology, Guangzhou, People’s Republic of China2
Instituto de Tecnologia - UADE, Buenos Aires, Argentina2
Dept. of Computing, The Hong Kong Polytechnic University, China2
Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Photonic and Electronic Engineering, Fujian Normal University Fujian, Fuzhou 350007, China2
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan2
Duke University Durham, NC 27708, USA2
University of Oulu, Machine Vision Group, P.O. Box 4500, 90014, Finland2
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China2
Islamic University of Technology, Bangladesh2
Institute of Informatics, Federal University of Rio Grande do Sul, Brazil2
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil2
Eindhoven University of Technology, The Netherlands2
Hewlett-Packard Laboratories, Palo Alto, CA, USA2
College of Engineering and Computer Science, Australian National University, Canberra2
Worcester Polytechnic Institute, Worcester , MA, USA2
Worcester Polytechnic Institute, Worcester, MA, USA2
School of Electronics Engineering, Kyungpook National University, Taegu, Republic of Korea2
Graduate School of IPS, Waseda University, Kitakyushu, lapan2
ASELSAN Inc. Microelectronics, Guidance and Electro-Optics Division, Ankara, Turkey2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10.2
School of Computer Science, National University of Defense Technology2
School of Chemical Engineering, The University of Queensland, Australia2
Adobe Systems Incorporated, San Jose, CA 95110, USA2
National Chung Cheng University2
D.Y. Patil college of engg., Akurdi, Pune2
Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France2
Global Big Data Technologies Centre, University of Technology Sydney, Australia2
Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India2
School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan2
The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany2
Daimler AG, Research and Development, Ulm, 89081, Germany2
Vision Lab, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom2
School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia2
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China2
Department of Psychology, University of Miami, USA2
Department of Electrical and Computer Engineering, University of Denver, USA2
School of Computer Science and Technology, Nanjing Normal University, Nanjing, China2
College of Computing & Informatics, Drexel University, Philadelphia, PA 19104, USA2
Technical University of Munich, Munich, Germany2
Robert Bosch GmbH, Renningen, Germany2
Sichuan Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Idiap, Switzerland2
Kingston University, London, United Kingdom2
Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ 08854, USA2
EyeVerify, Inc., Kansas City, USA2
Sullivan Nicolaides Pathology, Australia2
School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China2
Department of Computer & Information Science, University of Macau, Macau2
Department of Electrical & Computer Engineering, The Ohio State University, OH2
Cyprus University of Technology2
Institute of Information and Communication, Beijing University of Posts and Telecommunications, Beijing, China2
Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA2
Key Laboratory of Shanghai Education Commission for Intelligence Interaction and Cognitive Engineering, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, PR ...2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Electrical and Computer Engineering, The University of Texas at Austin, 201 E 24th Street, 78705, USA2
College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China2
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran2
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing, China2
School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu2
Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil2
Institute for Information Technology and Communications, University of Magdeburg, Germany2
The University of Texas at Arlington, USA2
College of Computer Science, Zhejiang University of Technology, 310023 Hangzhou, China2
Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina2
Electrical and Computer Engineering Department, Semnan University2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, Guangdong, China2
College of Computer Science, Chongqing University, chongqing, China 4000302
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, USA2
Georgia Institute of Technology, Atlanta, GA, USA2
SUSTech-UTS Joint Centre of CIS, Southern University of Science and Technology, Shenzhen, China2
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. Of. Tech., Bangalore-560054, India2
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland2
School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India2
Islamic University of Technology, Gazipur-1704, Bangladesh2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Florida International University2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
South Valley University, Qena, Egypt2
Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Electrical Engineering, Tafresh University, Tafresh, Iran2
State Key Laboratory of High Performance Computing (HPCL) and College of Computer, National University of Defense Technology, Changsha, China2
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China2
Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA2
Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China2
Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA2
School of Comm. and Info. Engineering, Beijing University of Posts and Telecom., China2
Microsoft Research Ltd., Cambridge, UK2
Defence Research and Development Canada, Valcartier, Quebec2
UK Defence Science and Technology Laboratory, Porton, Salisbury, UK2
School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China2
Institute of VLSI Design, Zhejiang University2
Faculty of Engineering Technology, University Hasselt2
Ningbo University, Ningbo, China2
School of Control Science and Engineering, Dalian University of Technology, Dalian, China2
Univ. of Cambridge, Computer Laboratory2
School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China2
Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia2
Industrial Engineering Department Faculty of Engineering, Erciyes University, Kayseri, TURKEY2
Boston University, ECE Department, Boston MA, 02215, USA2
Université de Sherbrooke, MOIVRE, Sherbrooke, J1K 2R1, Canada2
Electronics and Computer Science, Southampton University, UK2
Department of Multimedia Communications, EURECOM, Les Templiers, Biot, France2
Federal University of Technology-Paraná, Curitiba, Brazil2
University of Oxford, USA2
Institute of Information Science, Academia Sinica, Taipei, Taiwan Roc2
Dalian Key Lab of Digital Technology for National Culture, Dalian MinZu University, Dalian, 116600, China2
Institute of System Science, Northeastern University, Shenyang, 110089, China2
Computing & Information Science and Computer Engineering, Rochester Institute of Technology, NY 14623, USA2
National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine2
School of Computer, Chengdu University of Information Technology, Chengdu, China2
Babeş-Bolyai University, Codespring LLC, Cluj-Napoca, Romania2
Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States2
image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States2
E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain2
Centre of Electronic Warfare, Information and Cyber, Cranfield University, Defence Academy of the United Kingdom, Shrivenham SN6 8LA, UK2
Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, School of Computer and Information, Hefei University of Technology, Hefei, 230009, China, P.R.2
Metaio GmbH2
University of Caen, Caen, France2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA2
Denso Corporation, Kariya, Japan2
Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey2
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA2
Graduate School of IPS, Waseda University, Japan2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR2
Department of Radiology, University of Pennsylvania, Philadelphia, PA2
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand2
Dept. Electronic Engineering, Natuonal University of Ireland, Galway2
University of Massachusetts2
Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea2
Computer Laboratory, University of Cambridge, England2
Osaka University, Graduate School of Information Science and Technology, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
University of California at Irvine, Irvine2
Intelligent Systems and Biomedical Robotics Group, The School of Computing, State Key Laboratory of Mechanical System and Vibration, University of Portsmouth, Shanghai Jiao Tong University, Portsmouth, Shanghai, U.K.China2
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China2
Institution of Intelligent Systems, College of Computer Science, Intelligent Systems and Biomedical Robotics Group, The School of Computing, Zhejiang University of Technology, University of Portsmouth, Hangzhou, Portsmouth, ChinaU.K.2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel2
Cooperative Medianet Innovation Center, Shanghai, China2
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China2
School of Computer and Information Engineering, Hefei University of Technology, Hefei, China2
Department of Computer Science and Engineering, Michigan State University, East Lansing, USA2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Bilgisayar Mühendisliği Bölümü, Erzincan Üniversitesi, Türkiye2
Centre for Vision Res., York Univ., Toronto, Ont., Canada2
Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France2
The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada2
TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey2
School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia2
New Industry Creation Hatchery Center, Tohoku University, Sendai, Japan2
Sun Yat-sen University, China2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China2
Department of Computer Science, University of Calgary, AB, Canada2
Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 462402
School of Computer and Information Science, Hefei University of Technology, Hefei, China2
School of Computer Science and Technolog, Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, China2
Department of Computer Science, University of Verona, Verona - Italy2
DGIST2
Western Kentucky University, Department of Computer Science, Ogden College of Science & Engineering, Bowling Green, KY 42101, USA2
Warsaw University of Technology, Department of Automation and Aeronautical Systems, Warsaw, Poland2
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, China 3100182
Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 1396512
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong2
Department of Mechanical Engineering and HRI Research Center, KAIST, Daejeon 305-701, Korea2
School of Mathematical Sciences, Capital Normal University, No. 105 West Third Ring Road North, Haidian District, Beijing, P.R. China, 1000482
Sichuan Univ., Chengdu2
Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, China2
Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil2
National Engineering Research Center for E-Learning, Central China Normal University2
University of Cambridge Computer Laboratory, 15 JJ Thomson Avenue2
INRIA Sophia Antipolis - Mediterranean Research Center - PULSAR Project, 2004 route des Lucioles B.P 93, 06902 Sophia Antipolis Cedex, France2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of Electrical Engineering, National Chaio Tung University, Hsinchu, Taiwan2
Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA2
Department of CSE, GGITS, Jabalpur2
ABV-Indian Institute of Information Technology & Management, Gwalior-474015, India2
School of Computing, Queen's University, Kingston, Canada2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
University of Vigo, Spain2
University of South Florida, Tampa2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Computer Science, University of Texas at San Antonio2
National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China2
Department of Computer Science, Rhodes University, Grahamstown, South Africa2
Fondazione Bruno Kessler, University of Perugia, Trento, Perugia, Italy2
Zhejiang University, HangZhou, China2
Research Center of Applied Statistics and Big Data, Huaqiao University, Xiamen, 361021, China2
BeingThere Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Signals and Systems Group, Faculty of EEMCS, University of Twente, the Netherlands2
IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France2
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil2
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\2
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA2
School of Electrical Engineering, Zhengzhou University, Zhengzhou, China2
Technical University of Cluj Napoca2
Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York United States2
Computer Vision Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
Anhui University, HeFei, China2
AI Speech Ltd., Suzhou, China2
Research Center of Machine Learning and Data Analysis, School of Computer Science and Technology, Soochow University, Suzhou, China2
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, University of Lyon, Ecully, France2
Department of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China2
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
School of Computer Science and Technology2
School of Information Technologies, University of Sydney, NSW 2008, Australia2
Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil2
Samsung Research America, Mountain View, CA, USA2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
Rensselaer Polytechnic Institute, Troy, NY, USA2
Center for Optical Imagery Analysis and Learning, School of Computer Science, Northwestern Polytechnical University, Xi’an, China2
Intelligent Recognition and Image Processing Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China2
Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands2
Department of Computer and Information Science, University of Macau, Macau 999078, China2
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia2
Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia2
Dept. of Mech. and Automation Engineering, The Chinese University of Hong Kong2
Media Computing Group, Microsoft Research Asia, Beijing, China2
School of Electrical Engineering and Computer, Science National University of Sciences and Technology, Islamabad, Pakistan2
Department of Computing Science, University of Alberta, Edmonton, Canada2
Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi'an 710072, China2
College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 4300702
Portland State University, Portland, OR, USA2
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Graduate School of Engineering, Hiroshima University, Higashihiroshima, Hiroshima 739-8521, Japan2
Dept. of Math. and CS, Western Kentucky University, USA2
Dept of Computer Sci & Electrical Eng, West Virginia University, Morgantown, United States2
NCCU, USA2
WVU, USA2
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye2
Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye2
LIVIA, École de technologie supérieure, Université du Québec, Montréal, Canada2
Department of Electronic and Electrical Engineering, The University of Sheffield, South Yorkshire, U.K.2
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Electronics and Information Engineering, Anhui University, Hefei, China2
School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia2
Department of Computer Science, University of Texas at San Antonio, San Antonio, USA2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), and Department of Computer Science and Technology, Tsinghua University, Beijing, China2
Istituto Italiano di Tecnologia2
University of Verona2
Department of Electrical Engineering, Princeton University, Princeton, NJ, USA2
Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China2
Imperial College London, London, UK2
Technical University of München, Garching, Germany2
University of Bern, Bern, Switzerland2
University College London, London, UK2
School of Computer Engineering, Nanyang Technological University, Singapore 6397982
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
School of Electronic and Information Engineering, Dalian University of Technology, Liaoning, China2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Mathematics, Centre for Mathematical Imaging and Vision, Hong Kong Baptist University, Hong Kong2
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
Department of Computer Science, University of Texas, San Antonio, TX, USA2
Universidad Autónoma of Madrid (Spain)2
Seoul National University, Seoul, South Korea2
Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea2
Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA2
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia2
Centre for Intelligent Machines, McGill University, Montréal, Canada2
Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350108, China2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China2
Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY2
Department of Computer Science, Grove School of Engineering, CUNY City College, New York, NY2
Department of Computer Science, CUNY Graduate Center, New York, NY2
Department of Electrical Engineering, Grove School of Engineering, CUNY City College, New York, NY2
The University of Manchester, Manchester2
IBT, University of Tampere, Tampere, Finland2
DEIS, University of Bologna, Cesena, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Central University, Jhongli, Taiwan2
Deep Learning Group, Microsoft Research, Redmond, Washington United States2
Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea2
Duke University, NC, USA2
School of Educational Information and Technology, Central China Normal University, Wuhan, China2
Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan2
University of Florence, Firenze, Italy2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
University of Bucharest, 14 Academiei, Bucharest, Romania2
Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, USA2
Disney Research, CH2
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of Electronics, Goa University, Taleigao Plateau, India2
ACL Laboratory at Sharif University of Technology2
Captial Normal University, Beijing2
Water Optics Technology Pte. Ltd, Singapore2
Harbin Institute of Technology, Shenzhen, China2
Universitat de Barcelona, Spain2
Computer Vision Center (UAB), Spain2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
IBM Research India, New Delhi and Bangalore, India2
Peking University & Alibaba Group, Beijing, China2
Virginia Tech, USA2
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain2
SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain2
Toyota Technological Institute at Chicago, Chicago, IL, USA2
Toyota Technological Institute, Nagoya, Japan2
Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan2
Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA2
Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China2
University of Nottingham, Nottingham, United Kingdom2
University of Wisconsin-Madison, United States2
Artificial Intelligence Laboratory, University of Tsukuba, Japan2
Huizhou University, Huizhou, China2
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China2
Ars Electronica Futurelab, Linz, Austria2
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai2
Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China2
Multimodal Signal Processing Laboratory, The University of Texas at Dallas, Richardson, TX2
GE Healthcare, London, ON, Canada2
Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Faculty of Engineering and Information Technologies, UBTech Sydney Artificial Intelligence Institute, the School of Information Technologies, The University of Sydney, J12 Cleveland St, Darlington, NSW, Australia2
University of Maryland, College Park, MD2
University of Califonia, Berkeley, Berkeley, CA, USA2
P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation2
HAN University of Applied Sciences, Nijmegen, The Netherlands2
Simon Fraser University, Surrey, BC, Canada2
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China2
Yahoo Labs, San Francisco, USA2
Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China2
Division of IT Convergence, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea2
Kitware Inc., Clifton Park, NY, USA 120652
Dipartimento di Informatica, Università di Salerno, Fisciano, Italy2
Universidade do Porto, Porto, Portugal2
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia2
Stony Brook University, Stony Brook2
Autonomous Intelligent Systems, Computer Science Institute VI, University of Bonn, 53113, Germany2
University of California, Irvine, USA2
The Weizmann Institute of Science, Rehovot, ISRAEL2
Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom2
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla CA 92092, USA2
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy2
TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan2
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea2
Center for Future Media & School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China2
Dept. of Electr. Eng., Fed. Univ. of Parana, Curitiba, Brazil2
Institute of Linguistics Chinese Academy of Social Sciences, Beijing, China2
Environment Perception, Daimler AG, Sindelfingen, Germany2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand2
IST/ISR, Lisboa, Portugal2
Institute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil2
Changshang University of Science & Technology, China2
Institute of Image & Information Technology, Harbin Institute of Technology, China2
Australian National University, Canberra2
Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu2
Institute of Industrial Science, the University of Tokyo, 4-6-1 Komaba, Meguro-ku, JAPAN2
Laboratory of Automated Queuing Systems and Signal Processing, V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Department of Computer Science, National Chiao Tung University, Taiwan2
West Virginia University, MILab, LCSEE, 395 Evansdale Drive, Morgantown, 26506-6070, U.S.A.2
Dept. of Intelligent Interaction Technologies, University of Tsukuba, Japan2
Dept. of computer science, South Asian University, New Delhi, India2
School of Electronics& Information Engineering, Xi'an Jiaotong University, China2
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Guangdong Province, China2
Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia2
School of Computer Science and Software Engineering, The University of Western Australia, Nedlands, WA, Australia2
Department of Information Engineering, Chinese University of Hong Kong, Hong Kong2
Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, China2
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China2
Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China2
College of Computer Science, Chongqing University, Chongqing 400044, China2
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China2
Radboud University Nijmegen, The Netherlands2
Rutgers, The State University of New Jersey2
Dhirubhai Ambani Institute of Information and Communication Technology, India2
IT Innovation Centre, University of Southampton, United Kingdom2
Department of Electronic, Computer and Biomedical Engineering, Islamic Azad University, Qazvin branch, Iran2
Department of Electrical and Computer Engineering, Florida State University, Panama City, FL 324052
Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan2
Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India2
National Chiao Tung University, Hsinchu, Taiwan Roc2
Microsoft Research, Beijing, Taiwan Roc2
Dept. of Communication Engineering, Communication University of China, Beijing, China, 1000242
Compute Science and Engineering, Arizona State University, Tempe, 85281, USA2
BMW Group, Munich, Germany2
Fastcom Technology SA, Lausanne, Switzerland2
School of Information Science and Technology, Northwest University, Xi'an, P. R. China2
National University of Defense Technology, Hunan, China2
Robotics Institute, Carnegie Mellon University2
Swiss Federal, Institute of Technology, Lausanne (EPFL), Switzerland2
Department d'InformatiqueESST, Tunisia2
Department of Computer EngineeringKhalifa University, UAE2
School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, 2052, Australia2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea2
School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology, Sun Yat-Sen University, Guangzhou, China2
GREYC, CNRS UMR 6072, Université de Caen2
Harbin Institute of Technology, Weihai, China2
Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan2
LMU Munich, Germany2
IRCV Group, Rovira i Virgili University, Reus, Spain2
Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany2
Department of Computer Science and Engineering, Centre for Vision Research, York University, Ontario, M3J 1P3 Canada2
Department of Electrical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan2
Google, Mountain View, USA2
Center for Automation Research, UMIACS, University of Maryland, College Park, USA2
Department of Computer Science, University of Verona, Verona, Italy2
Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil2
Computer Science & Engineering, PEC University of Technology, Chandigarh, India2
University of London, London, United Kingdom2
Department of Simulation and Graphics, University of Magdeburg Universitätsplatz 2, 39106 Magdeburg, Germany2
DAI Laboratory, Technische Universität Berlin, Ernst-Reuter-Platz 7, TEL 14, 10587 Berlin, Germany2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Karlsruhe Institute of Technology, Institute for Anthropomatics, Adenauerring 2, 76131 Karlsruhe, Germany2
Hong Kong University of Science and Technology, Department of ECE, Clear Water Bay, Kowloon, Hong Kong2
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey2
Escola Universitaria Politecnica de Mataro, Spain2
Laboratory Heudiasyc, University of Technology of Compiègne, BP 20529. F-60205, France2
Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea2
Knowledge e-Learning Research Group2
Department of Mechanical Engineering, Temple University, Philadelphia, 19122, PA2
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
West Virginia University, Electrical Engineering, Morgantown, USA2
School of Computer, China University of Geosciences, Wuhan, China2
School of Digital Media, Jiangnan University, Wuxi 214122, Jiangsu, China2
Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China2
School of Mathematics and Statistics, Yunnan University, Kunming, China2
Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany2
Department of Computer Science, Aarhus University, Denmark2
Czech Technical University, Prague, Czech Republic2
Department of Informatics, University of Hamburg, Germany2
Max-Planck Institute for Informatics, Saarbrücken, Germany2
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea2
Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing, China2
Eastman Kodak Company, Rochester, USA2
Naver Labs Europe, Meylan, France2
Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Cornell Lab of Ornithology, USA2
Electrical and Computer Engineering, University of Victoria, BC, Canada2
LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France2
Sapienza Università di Roma, Roma, Italy2
Computer Science Department, University of Moncton, NB, Canada, E1A 3E92
Department of Computer Sciences, The University of Texas at San Antonio, San Antonio, TX, USA2
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Automated Driving Department, Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
School of Computer and Information Science, Northumbria University Newcastle upon Tyne, United Kingdom2
University of Oxford, Oxford OX, UK2
Institute of Applied Mathematics, Academy of Science, Beijing, 100190, China2
State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China2
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
School of Automation, Wuhan University of Technology, Wuhan, Hubei Province, China2
School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei Province, China2
Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye2
National University of Singapore, Nanyang Avenue, Singapore2
IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea2
Department of Computer Science, The Hebrew University of Jerusalem2
Information Technologies Institute, Centre for Research and Technology Hellas, Greece2
Universidad Politécnica de Madrid (GATV), Spain2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Department of Digital Systems, University of Piraeus, Piraeus, Greece2
University of Washington, Seattle, United States2
National Technical University of Athens, Athens2
GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia2
Department of Computer Science, University of Virginia2
Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
Department of Biomedical Engineering, Shenzhen University, China2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Bilgisayar Mühendisliği, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye 068002
Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India2
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Beijing, China2
Google, Mountain View, CA2
Institute of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan2
Department of Electronic Engineering and Information Science, CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China2
Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara2
University of California, Riverside Riverside, CA, 92521, USA2
Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)2
University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN2
Computer Science, University of Haifa, Carmel, 31905, Israel2
Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, Houston, USA2
University of Chicago, Chicago, IL, USA2
Intel Labs, Pittsburgh PA2
Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy2
School of Information Engineering, Nanchang University, China2
College of Computer Science and Software Engineering, Shenzhen University, China2
California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA2
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China2
Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India2
OFFIS - Institute for Information Technology, Oldenburg, Germany2
University of Oldenburg, Oldenburg, Germany2
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Computer Vision Center, Cerdanyola del Vallès, Spain2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China2
Department of Electrical Engineering and Advanced Institute of Manufacturing with High-Tech Innovations, National Chung Cheng University, Chiayi, Taiwan2
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada2
Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Turkey2
Communication Systems Group, Technische Universitat Berlin, Germany2
Dayeh University, 168 University Rd., Dacun, Changhua 515, Taiwan, (886)4-8511888#21982
Robot Intelligence Lab, Dyson School of Design Engineering, Imperial College London, UK2
Computer Science Department, Technical University of Cluj-Napoca, Cluj Napoca, Romania2
National Ilan University, Ilan, Taiwan Roc2
GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain2
CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Elektrik - Elektronik Mühendisliği Bölümü, Atılım Üniversitesi, Ankara, Türkiye2
Dept. of Computer Science, University of Verona, Italy2
CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France2
Université Pierre et Marie Curie (LIP6), Paris, France2
TNLIST, Department of Automation, Tsinghua University2
Faculty of Engineering, Universitas Indonesia, Indonesia2
Institute of Information Science, Beijing Jiaotong University, Beijing, China 1000442
Sorbonne Universités, Paris, France2
Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea2
University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom2
School of Computer Software, Tianjin University, Tianjin, 300350, China2
Shandong Agricultural University, College of Information Science and Engineering, China2
Signal Processing of Ministry of Education Southeast University, Key Laboratory of Underwater Acoustic, China2
National Innovation Centre for Ageing, Newcastle University, UK2
Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China2
School of Computer Science and Technology, Tianjin University, Tianjin2
Dept. of Electrical and Computer Engineering, National University of Singapore2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Department of Computing, the Hong Kong Polytechnic University, Hong Kong2
EIS, Huazhong Univ. Sci. and Tech., China2
Center for Automation Research, University of Maryland, College Park, 20742, United States of America2
Computer Vision Center, Spain2
Khalifa University, Abu Dhabi, UAE2
Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA2
Virginia Tech Transportation Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States2
Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Republic of Korea2
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Republic of Korea2
Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China2
Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India2
Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA2
Istanbul Technical University, Istanbul, Turkey2
Center for Research in Intelligent Systems, University of California, Riverside, USA 925072
Information and Communication Technology, Gautam Buddha University, Greater Noida2
The 28th Research Institute of China Electronics Technology Group Corporation, China2
Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France2
Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China2
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China2
University of Southampton, Southampton2
School of Computer & Communication Engineering, University of Science and Technology Beijing, China2
School of Computer Science, University of Windsor, Canada N9B 3P42
University of Notre Dame, USA2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R.China2
Coursera and Stanford University2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Department of Oncology, University of Oxford, Oxford, UK2
Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China2
University of Alberta, Alberta, Canada2
Arizona State University, Tempe AZ, USA2
IMT Lille Douai, Lille, France2
Institution of Information Science, Beijing Jiaotong University, Beijing, China2
Division of Electronics and Communication Engineering, School of Engineering, Cochin University of Science and Technology, Kochi - 682022, Kerala, India2
Convergent SoC Research Center Korea Electronics Technology Institute2
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies2
Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan2
Bilgisayar Mühendisliği Bölümü, Yildiz Teknik Üniversitesi, Turkey2
University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia2
Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C.2
Keio University, Tokyo, Japan2
Keio University, Yokohama City, Kanagawa, Japan2
School of Computer and Control Engineering, University of the Chinese Academy of Sciences, Beijing, China2
Innovation Center, Canon USA Inc., San Jose, California2
University of Texas at San Antonio, San Antonio, Texas2
University of Ottawa, Ottawa, Canada2
Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany2
School of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, USA2
u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria2
Institute of Neural Information Processing, University of Ulm, Ulm, Germany2
Technical center for the Mechanical Industry (CETIM), France2
University of Modena and Reggio Emilia, Modena, Italy2
COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil2
Inst. of Comput. Sci., Univ. of Leoben, Austria2
Dept. of Information Engineering, The Chinese University of Hong Kong, Hong Kong2
Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran2
CENPARMI, Concordia University, Montréal, Québec, Canada2
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 14623, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey2
Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA2
Computer Science and Technology, Tsinghua University, Beijing, China2
Graduate School of Information Science, Department of Media Science, Nagoya University, Japan2
School of Electronics and Computer Science, University of Southampton, Southampton, UK2
Dept. of Electronics, Telecommunications and IT, University Politehnica Bucharest, Romania2
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA2
GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France2
National Institute of Standards and Technology2
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia2
Department of Mechanical Engineering, National University of Singapore, Singapore2
Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany2
Dept. of Comput. Sci. & Eng., Univ. of California, Riverside, CA, USA2
University of Southampton, SO17 1BJ, UK2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr2
Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan2
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan2
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA2
Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
Shanghai University, School of Communication & Information Engineering, Shanghai, China2
Center for Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, 90014 Oulu, Finland2
Movidius Plc., Dublin, Ireland2
Collage of Electronic and Information Engineering, South China University of Technology, Guang Zhou, China2
Department of Mathematics, Center for Computer Vision, Sun Yat-Sen University, Guangzhou, China2
Department of Computing, The University of the West Indies, Mona, Kingston 72
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea2
TCL Research America, San Jose, CA 951342
Institute of Computing (ICOMP), Federal University of Amazonas, Brazil2
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea2
Micron Technology Inc.2
School of Computing Sciences, University of East Anglia, Norwich, United Kingdom2
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China2
School of Geosciences, University of South Florida, Tampa, FL, USA2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
School of IoT Engineering, Jiangnan University, Wuxi, People’s Republic of China2
Telecommunications and Informatics Gdansk University of Technology, Department of Computer Architecture Faculty of Electronics, Gdansk, Poland2
ARC Centre of Excellence for Robotic Vision, Monash University, Australia2
LTCI, Télécom ParisTech, Paris2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, P.R. China2
Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Dept. of Computer Science & Engg. IIT Bombay2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
University of British Columbia, Canada2
Computer Science, Fudan University, Shanghai, 201203, China2
Electronic Engineering and Computer Science, Queen Mary University, London, United Kingdom2
Berger Levrault, Labege, France2
Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
School of Electronic Engineering and Computer Science Queen Mary University of London2
Faculty of Computers and Information, Cairo University, Egypt2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, United Kingdom2
School of Computing Sciences, University of East Anglia2
Multimedia Processing Laboratory, Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan2
UIET, Panjab University, Chandigarh, India2
Department of Electronics, University of Goa, India2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-453331, India2
Advanced Medical Electronics, USA2
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Department of Computer Science, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Faculty of Information Sciences and Engineering, University of Canberra, Australia2
RSISE, Australian National University, Australia2
School of Computing and Mathematics, Charles Sturt University, Sydney, NSW, Australia2
Fraunhofer IAIS, Sankt Augustin, Germany2
University of California at Los Angeles, Los Angeles, CA, USA2
Department of Electrical Engineering, University of Washington, Washington USA2
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan2
INAOE, Puebla, Mexico2
School of Automation, Huazhong University of Science and Technology, Wuhan, China 4300742
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
University of Memphis, Memphis, TN2
School of Mathematical Sciences, Rochester Institute of Technology, NY 14623 USA2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer Science. Chongqing University, Chongqing, China2
Bilgisayar Mühendisliği Bölümü, Marmara Üniversitesi, İstanbul, Türkiye2
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, China2
Departamento de Computação, Universidade Federal do Piauí, Teresina, Brasil2
Institute of software, Chinese Academy of Sciences, Science and Technology on Integrated Information System Laboratory, Beijing, China2
School of Electrical & Information Engineering, University of Sydney, NSW 2006, Australia2
School of Engineering and Computer Science, Independent University, Bangladesh2
School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ2
University of Electronic Science and Technology of China, West Hi-Tech Zone, Chengdu, SiChuan, China2
School of Computer Science, University of Windsor, Windsor, Canada2
Department of Computer Science, College of Natural Sciences & Mathematics, University of Houston2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, China2
Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany2
University of Dayton, Dayton, OH 454692
KU Leuven ESAT-PSI, iMinds2
Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India2
Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Turkiye2
School of Information Science and Technology, Jiujiang University, China2
Research Institute of Wuhan University in Shenzhen, China2
Machine Intelligence Unit, Indian Statistical Institute, Kolkata-108, INDIA2
Computational Biomedicine Lab, University of Houston2
Institut TELECOM; TELECOM Lille 1, France2
Shenzhen Key Lab of Comp. Vision and Patt. Recog., Shenzhen Institute of Advanced Technology, CAS, P.R. China2
Department of ECE, University of Delaware, USA2
University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea2
Centre for Intelligent Sensing, Queen Mary University of London, UK2
Institute of Advanced Manufacturing Technology, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China2
Department of Electronic and Electrical Engineering, Ewha W. University, Seoul, Korea2
Department of Electrical Engineering, National Tsing Hua University, Taiwan2
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong2
Beijing Innovisgroup Tec Co. LTD, Beijing, China2
Massachusetts Institute of Technology, Cambridge, USA2
Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia2
Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia2
Université de La Rochelle, France2
Kyungpook National University, Buk-go, Daegu, Republic of Korea2
University of California, Davis, Davis, CA, USA2
INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France2
Industrial Automation Research Laboratory, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong2
Department of Mathematics and Computer Science, University of Catania, Italy2
CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France2
Laboratoire de Signal, Images et Technologies de l'Information (LR-SITI-ENIT), Université Tunis El Manar Ecole Nationale d'Ingénieurs de Tunis2
Division of Control, EEE, Nanyang Tech. Univ., Singapore2
UNICA, Italy2
Taiger, Spain2
Dept. of Computer Science and Engg., IIT(BHU), Varanasi, India2
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria2
Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France2
ENST, Bretagne, GET-ENST, Brest, F-29200 France2
CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France2
Univ Bretagne Occidentale, U650, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France Mathieu.Lamard@univ-brest.fr2
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany2
Mount Sinai Hospital, Toronto, Canada2
School of Information Science & Technology, Sun Yat-sen University, and SYSU-CMU Shunde International Joint Research Institute, China2
Computer Science Department, Portland State University2
Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
Aviation University of Airforce, Changchun, 130022, China2
University of Valencia2
Department of Information and Communication Engineering, Arulmigu Meenakshi Amman College of Engineering, Vadamavanthal, Thiruvannamalai, Tamilnadu2
Ghent University - imec - MICT, Korte Meer, Ghent2
Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent2
Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel2
Department of Electronic Engineering, Fudan University, Shanghai, 200433, China2
Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India2
Department of Computer Science and Engineering, Christ University, Bengaluru, India2
Augsburg University, Augsburg, Germany2
Augsburg University, Augbsurg, Germany2
Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore2
Cardiff University2
Nankai University2
Institute of Informatics, Silesian University of Technology, Gliwice, Poland2
The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan2
Department of Computer Science, University of York, YO10 5GH, UK2
School of Automation, Southeast University, Nanjing, China, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China2
Teachers College, Columbia University, NY, USA2
University of Notre Dame, Notre Dame IN, USA2
DAIICT, Gandhinagar, India2
Department of Software College, Northeastern University, Shenyang, China2
National University of Defense and Technology2
Utrecht University, CC Utrecht, The Netherlands2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, USA2
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece2
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA2
Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep.2
Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China2
iCV Group, Institute of Technology, University of Tartu, Tartu 50411, Estonia2
National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia2
Software Engineering Institute, Pittsburgh, PA2
School of Aerospace Engineering, Tsinghua University, Beijing, China2
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), State Key Lab of Intelligent Technologies and Systems, Tsinghua University, Beijing, China2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea2
REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia2
College of Automation Science and Engineering, South China University, Guanghzou, 510641, China2
Department of Electric and Electronics, Selçuk University, Konya, Turkey2
Simon Fraser University, Burnaby, Canada2
INRIA, Paris, France2
Research Center of Intelligent Robotics, Department of Automation, Shanghai Jiao Tong University, 200240, China2
USICT GGSIPU, Delhi, India2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China2
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan2
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, 4259-R2-52 Nagatsuta, Midori-ku, Yokohama, JAPAN 226-85032
School of Computer Science and Engineering, Chongqing University of Technology, China2
Multimedia Communications Department, EURECOM, 2229, Route de Cretes, BP 193, F-06560, Sophia-Antipolis, France2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Institute of Computer Science and Technology, Peking University, Beijing 100871, China2
Robotics and Perception Group, University of Zurich, Zurich, Switzerland2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
SoC Platform Research Center, Korea Electronics Technology Institute, Sungnam, Republic of Korea2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Yonsei University, Incheon, South Korea2
CAI, University of Technology Sydney, Sydney, Australia2
Institute of Linguistic Sciences, Jiangsu Normal University, Xuzhou, China2
National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China2
Jiaxing University, Jiaxing, China2
National Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China2
Commonwealth Scientific and Industrial Research Organisation, Clayton South, Vic. , Australia2
Speech, Audio, Image and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia2
Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China2
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan2
School of Computer Science, China University of Geosciences, Wuhan 430074, China2
Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia2
Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain2
SCOPE Vellore Institute of Technology, Vellore, India2
School of Computer Science and Technology, HuBei University of Science and Technology, Xianning, 437100, China2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Benha Faculty of Engineering, Benha University, Benha, Egypt2
Ashikaga Institute of Technology, 268-1, Ohmae-cho, Tochigi 326-8558, Japan2
Department of Electrical and Computer Engineering, University of Texas at Dallas, Multimodal Signal Processing (MSP) Lab, Richardson, TX, 75080, USA2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany2
LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco2
Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain2
Institute of Computing - University of Campinas, SP, Brazil, 13083-8522
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye2
School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Nanyang Technological University, Electrical and Electronic Engineering, Nanyang Link, Singapore 6397982
Department of Automation, MOE of China, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing, Shanghai, China2
National Taiwan University of Science and Technology, No.43, Keelung Rd., Sec.4, Da'an Dist., Taipei City 10607, Taiwan2
Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco2
RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
Université Pierre et Marie Curie, Paris, France2
Amity School of Engineering and Technology, Amity University, Uttar Pradesh, India2
HERE Technologies, Chicago, Illinois, 60606, USA2
Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China2
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Australian Center for Visual Technologies, University of Adelaide, SA, Australia2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, People's Republic of China2
Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan2
Leiden University, Leiden, The Netherlands2
TNO, The Hague, The Netherlands2
National Institute of Standards and Technology, Gaithersburg, USA2
Faculty of Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece2
Institute of Information Science, Beijing Jiaotong University, Beijing 1000442
Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey2
University Moulay Ismail, Meknes, Morocco2
Computer and Electronics Security Systems, Department of Computer Science and Digital Technologies, Northumbria University, UK2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xian, 710049, China2
Multimedia Computing Lab, University of Augsburg, Germany2
Graduate School of Informatics, Nagoya University, Nagoya, Japan2
Faculty of Electrical and Computing Engineering, University of Campinas, Campinas, São Paulo, Brazil 13083-8522
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
School of Computer Science and Technology, Tianjin University, 300072, China2
LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco2
LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco2
Department of ICT, FM University, Balasore, Odisha, India2
Amsterdam University College, Amsterdam, The Netherlands2
Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands2
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies, and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
INRIA Rhone-Alps, Montbonnot, France2
Imperial College London2
University College London, Department of Computer Science, Malet Street, WC1E 6BT, UK2
Graduate University of Chinese Academy of Sciences, Beijing, 100049, China2
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA2
The University of Waikato, Knighton Road, Hamilton, New Zealand2
NIT Jaipur2
Department of Information & Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia2
School of Computer Science and Engineering, The University Of New South Wales, Sydney, Australia2
Department of CSE, Tezpur University, Napaam, Assam2
Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium2
IBM T. J. Watson Research, Center, New York, USA2
University of Notre Dame, Notre Dame, Indiana2
Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland2
Group Research of Daimler AG in Ulm, Germany2
Computer Engineering, Rochester Institute of Technology, USA2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea2
Australian Centre for Visual Technologies, University of Adelaide, 5005 South Australia, Australia2
University of Michigan, Ann Arbor, USA2
Adobe Research, San Jose, CA2
School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China2
NASA's Goddard Space Flight Center2
Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada2
Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia2
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China2
LMU Munich, Munich, Germany2
Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA2
Department of Computer Science, Kent State University, OH 44242, U.S.A.2
Purdue University, West Lafayette, USA2
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia2
School of Computer Science and Technology, Nanjing Normal University, China2
Schoool of Electronic Engineering, Xidian University, Xi'an, China2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
Laboratory of Inverses Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications University of 08 Mai 1945 - Guelma -, Algeria2
Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan2
Department of Computer Science & Information Engineering, National Central University, Taoyuan, Taiwan2
Robot Department, Chubu University, Aichi 487-8501, Japan2
Computer Science Department, Chubu University, Aichi 487-8501, Japan2
Northeastern University, USA2
Morpho, Safran Group, (Issy-les-Moulineaux), 11 bd Gallieni, 92130, France2
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Nanjing, China2
College of Software, Shenyang Normal University, Shenyang, China2
Electrical Engineering Department, University of Guilan, Rasht, Guilan, Iran2
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India2
International School, Beijing University of Posts and Telecommunications, Beijing, China2
School of Information Science and Technology, Beijing Forestry University, Beijing, China2
Department of Engineering, University of Perugia, Perugia, Italy2
School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA2
Distributed Multimedia Systems Technical University of Darmstadt, Germany2
Michigan State University, East Lansing, U.S.A.2
São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil2
Department of Cognitive ScienceSchool of Information Science and Engineering, Xiamen University, Xiamen, China2
Center for Research in Intelligent Systems, University of California, Riverside, CA, 925212
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China2
University of Dayton, Dayton, USA2
College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China2
Department of Mathematics, Universitas Inonesia, Depok, Indonesia2
Department of Physiology & Pharmacology, School of Medicine, Wake Forest University, Winston-Salem, NC, USA2
Labo Handibio, University of Toulon-Var, France2
School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland UK2
The University of Queensland, St. Lucia, QLD2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
University of Valladolid (Spain), Dep. Of Systems Engineering and Automatic Control, Industrial Engineering School2
ECE/UPATRAS, Patras, Greece2
CERTH/ITI, Thessaloniki, Greece2
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, Australia2
Yahoo Research, Sunnyvale, CA, USA2
Shanghai Jiaotong University, Shanghai, China2
Department of Computer Science and Engineering, Michigan State University, East Lansing, 48824, U.S.A.2
Heidelberg University, Heidelberg, Germany2
Information Technology, NICHE, Noorul Islam University, Kumaracoil, Thuckulay, India2
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA2
Department of Computer Engineering, Sejong University, Seoul, Korea2
Department of Computer Science, University of Warwick2
Max-Planck-Institute for Informatics, Saarbrücken, Germany2
Photogrammetry and Remote Sensing Laboratory, ETH Zürich, Switzerland2
Shenzhen University, Shenzhen, China2
University of Bern, Neubrückstrasse 10, Bern, Switzerland2
Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Department of Automation, North-China University of Technology, Beijing, China2
School of Computer, Wuhan University, Luo-jia-shan, Wuchang, Hubei Province, China2
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
Naval Research Laboratory, Washington, DC 203752
Department of Electrical and Computer Engineering, University of Miami2
North Carolina State University, ECE Department, Raleigh, NC-27606, USA2
CongniVue Corporation, Gatineau, QC, Canada2
University of Engineering and Technology, Hanoi, Vietnam2
School of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K.2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad 211012, India1
College of Computer Science and Electronic Engineering, Hunan University, China1
Shenzhen Sunwin Intelligent Co., Ltd, China1
Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran1
College of Optical Sciences, University of Arizona, Tucson, AZ, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong1
Toyota InfoTechnology Center, Mountain View, CA 94943 USA1
Nokia Corporation, San Francisco, CA, USA1
Yahoo Research, USA1
Research Center of Learning Science, Southeast University, Nanjing 210096, China; The Engineering Research Center of Information Processing and Application, Southeast University, Nanjing 210096, China1
Department of Mathematics, University of Punjab, Lahore, Pakistan1
School of Systems and Technology, University of Management and Technology, Lahore, Pakistan1
Guangdong Key Laboratory of Information Security Technology, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Yazd University, Yazd, Iran1
University of Texas at Austin, Austin, TX, USA1
Core Technology Center Omron Corporation Kyoto, Japan1
Dept. of Newmedia, KGIT, Seoul, Republic of Korea1
School of Electrical and Electronic Eng., Yonsei Univ.1
Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany1
Corporate Technology, Siemens AG, München, Germany1
Empolis Information Management GmbH, Kaiserslautern, Germany1
Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany1
Carnegie Mellon University, PA, 152131
School of Computer Science and Technology, Soochow University, Suzhou, China, 2150061
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain1
College of Information Engineering, Shenzhen University, Shenzhen, China1
Department of Mathematics, Florida State University, Tallahassee, 32306, USA1
University of Seville , Sevilla, Spain1
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan1
Bilgisayar Mühendisliği Bölümü, ITÜ1
Bili§im Enstitüsü, İTÜ1
Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia1
school of computer science and engineering, Xi¿an University of Techonology, China1
Faculty of Computer Science and Information Technology, YunNan Normal Univeristy, 650092, China1
School of Management, Capital Normal University, Beijing, China1
College of Computer Science and Technology, Qingdao University, Qingdao, China1
College of Automation and Electrical Engineering, Qingdao University, Qingdao, China1
School of Data Science and Software Engineering, Qingdao University, Qingdao, China1
Department of Electronic Engineering, Shanghai Jiaotong University, China1
Google, inc., Pittsburgh, PA, USA1
Google, Inc, Pittsburgh, PA, USA1
School of Comp. Eng., NTU, Singapore1
Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran1
Department of Electrical Engineering, Electronics Research Institute, Sharif University of Technology, Tehran, Iran1
Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany1
Omron corporation1
Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil1
Interactive and Digital Media Institute, National University of Singapore, Singapore1
Department of Computer Science, Xiamen University, Xiamen, P.R. China1
Shenzhen Silver Star Intelligent Technology Co., LTD, China1
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY 146231
Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 146231
II-LIDI, UNLP, La Plata, Argentina1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it1
Digital Image Group (DIG), London, Canada1
Department of Medical Imaging, Western University, London, Canada1
Computational Medicine Lab, Shandong University of Traditional Chinese Medicine, Jinan, China1
Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es1
Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es1
ShanghaiTech University, Shanghai, China1
Intel Corporation, Hudson, MA, USA1
Nvidia Research, Westford, MA, USA1
Computer Engineering, Hacettepe University, Ankara, Turkey1
Computer Science, Boston University, Boston, USA1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Mühendislik ve Doğa Bilimleri Fakültesi, Sabancı Üniversitesi, İstanbul, Türkiye1
TÜBİTAK-BİLGEM, Kocaeli, Türkiye1
ShanghaiTech University1
Carleton University1
Shenzhen University1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Australia1
Stanford University, Department of Psychology, Jordan Hall, 450 Serra Mall, Building 420, Stanford, CA 94305, USA1
University of New South Wales, 2052 Sydney1
Graphic Era University, Dehradun, India1
Uttarakhand Technical University, Dehradun, India1
Jilin University, Changchun, China1
Università di Trento, Povo, Italy1
Amrita E-Learning Research Laboratory, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences1
School of Engineering and Computing, University of the West of Scotland1
Computer Science Department, Central Washington University (CWU)1
ICT Center, CSIRO1
Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates1
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Computer Science, University of Waterloo, Waterloo, ON, Canada1
Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia1
Technische Universität München, München, Germany1
LCSEE, West Virginia University, Morgantown, WV 26506, USA1
AT&T Labs Research, Middletown, NJ, USA1
Peking University Shenzhen Graduate School & Peking University, Shenzhen, China1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China1
Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan1
Faculty Of Electrical And Computer Engineering, University of Tabriz, Tabriz, Iran1
Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Redpine Signals Inc., Hyderabad, India1
Indian Institute of Technology, Hyderabad, India1
Centre for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Department of Electronic Engineering Shanghai Jiao Tong University1
Institute of Communication Engineering, National Tsing-Hua University, Taiwan1
Foundation for Research and Technology--Hellas (FORTH), Greece1
Stanford University, Stanford, California, USA1
Department of Electronics and Telecommunication, College of Engineering Roorkee, India1
HAVELSAN A.Ş., Ankara, Türkiye1
Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye1
Faculty of Science, Engineering and Computing, Kingston University, Kingston Upon Thames, U.K.1
I.K. Gujral Punjab Techncial University, Kapurthala, India1
Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia1
Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia1
Energy Research Institute @NTU (ERI@N), Interdisciplinary Graduate School, Nanyang Technological University, Singapore 6397981
Harvard University & Microsoft Research, Boston, MA, USA1
OLM Digital Inc, Setagaya, Japan1
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan1
School of Computer Science, Guangzhou University, Guangzhou, China1
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China1
College of Information and Electrical Engineering, Ludong University, Yantai, China1
Wakayama University1
U. of Illinois at Urbana-Champaign, USA1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Tsinghua University, Microsoft Research Asia, Beijing, China1
Xi'an Institute of Optics and Precision Mechanics &Chinese Academy of Sciences, Xi'an, China1
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guilin University of Electronic Technology, Guilin, People’s Republic of China1
School of Mathematical Sciences, Dalian University of Technology, Dalian, People’s Republic of China1
School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China1
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, China1
ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye1
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Department of Automation, Northwestern Polytechnical University, Xi’an, China1
School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China1
Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine1
Computer Science, University of Arkansas at Little Rock, Little Rock, USA1
Computer Science, Azusa Pacific University, Azusa, USA1
School of Information Science and Engineering, Fudan University, Shanghai, China1
Temasek Laboratories, Nanyang Technological University, Singapore and University of Applied Sciences Wiesbaden, Rüsselsheim, Germany1
Temasek Laboratories, Nanyang Technological University, Singapore1
Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Korea1
Intel Corporation, Beijing, China1
College of Computing, Georgia Tech1
Corporate Research, Robert Bosch GmbH, Stuttgart, Germany1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, P. R. China1
School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
Centre of Expertise in Computer Vision & Data Science, NHL Stenden University of Applied Sciences, Leeuwarden, The Netherlands1
Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Department of Physics, Indian Institute of Technology Delhi, New Delhi, India1
HCL Technologies, Chennai, India1
Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA1
Institute for Infocomm Research (IR) Singapore 1386321
Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. luc.vangool@vision.ee.ethz.ch1
KU Leuven, Leuven, Belgium. kurt.cornelis@esat.kuleuven.be1
KU Leuven, Leuven, Belgium. nico.cornelis@esat.kuleuven.be1
INRIA / Ecole Normale Supérieure, France1
Graduate University, Chinese Academy of Sciences, China1
Cairo University, Egypt1
Dept. of Computer Engineering, Science and Reaserch Branch, Islamic Azad University, Tehran, Iran1
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran1
Precision Silver LLC, Gainesville, FL1
Key Laboratory of Intelligent Perception and Image Understanding, Xidian University, Xi'an, China1
Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan1
Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 1000811
Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece1
National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece1
University of Maastricht, Maastricht, The Netherlands1
Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), the State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia1
Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain1
Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA1
MNNIT Allahabad, Allahabad, India1
School of Data and Computer Science, Sun Yat-sen University, P.R.China1
Google Inc., Singapore1
German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany1
Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia1
School of Engineering, University of California at Merced, Merced, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA1
Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore1
School of Computing and Communications, University of Technology Sydney, Ultimo, Australia1
School of Information Technology & Management, University of International Business and Economics, Beijing, China1
Department of Applied Electronics, Gulbarga University, Kalaburgi, India1
State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China1
Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan1
IUSIANI, Univ. de Las Palmas, Spain1
Mathematics and Statistics, UNC Wilmington, North Carolina, United States1
Computer Science, UNC Wilmington, North Carolina, United States1
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Department of Automation, Shanghai Jiao Tong University, Shanghai, People’s Republic of China1
Beijing Institute of Technology, Beijing 100081, P.R. CHINA1
Department of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Computational Vision Group, University of California at Irvine, Irvine, CA, USA1
Department of Computer Science and Technology, The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Department of Computer Science and Engineering, American University of Sharjah, UAE1
Intelligent Control Systems Laboratory, Griffith University, Brisbane, Australia1
Queen's University Belfast, UK1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. w.l.woo@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. s.s.dlay@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. m.a.dabbah@newcastle.ac.uk1
Thoraxklinik-Heidelberg GmbH, Germany1
Department of Electrical Engineering, National Taiwan University of Science and Technology1
Aalborg University, Aalborg SV, Denmark1
Department of Electrical Engineering, University of Biskra, Biskra, Algeria1
Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria1
Inst. for Infocomm Res., Singapore1
University of Lincoln, U. K.1
Qihoo 360 AI Institute, Beijing, China1
Bilgisayar Mühendisliği Bölümü, Iğdır Üniversitesi, Türkiye1
Institute for Infocomm Research, Connexis South, Singapore1
DISI - Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany1
Siemens Medical Solutions, Innovations Division, CA 94043, USA1
Heidelberg University, Heidelberg, BW, Germany1
Department of Electrical and Systems Engineering, University of Miyazaki, Japan1
Department of Environmental Robotics, University of Miyazaki, Japan1
Department of Materials and Informatics, University of Miyazaki, >Japan1
UFMG, Belo Horizonte, Brazil1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. roland.goecke@anu.edu.au1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. jason.saragih@rsise.anu.edu.au1
Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain1
University of Malaga , Malaga, Spain1
Universidad de Granada , Granada, Spain1
Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India1
Apollo Institute of Technology, Kanpur, India1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. mkp@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. tahonen@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. jukkaho@ee.oulu.fi1
Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Graduate School of Engineering, Nagoya University, Furo-cho, chikusa-ku, Nagoya, Japan1
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
National Chung-Shan Institute Science and Technology1
Netherlands Defence Academy and Delft University of Technology1
Delft University of Technology and Netherlands Defence Academy1
Biometrics Research Center, Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong1
College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Science and Engineering, Michigan State University, Lansing, USA1
Engineering Science Department, University of Oxford, Oxford, UK1
Volvo Construction Equipment, Göthenburg, Sweden1
Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Science, Shahid Beheshti University, GC, Tehran, Iran1
Department of Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran1
Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland1
Centre for Image Processing & Analysis, Dublin City University, Dublin 9, Ireland1
Research Group for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain1
Department of Electrical and Electronic Engineering, Public University of Navarra, Pamplona, Spain1
Information Processing Lab, Department of Electrical Engineering, University of Washington, Seattle, WA, USA1
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China1
The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
University of California, San Diego, La Jolla, CA, USA1
College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian, China1
Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China1
School of electronic information, WuHan University, Wuhan, China1
Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan, China1
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
Megvii Inc. (Face++), China1
Institute of Informatics and Telecommunications NCSR 'Demokritos', Athens, Greece and Electrical and Computer Engineering, National Technical University of Athens, Greece1
Mila, Université de Montréal, Quebec, Canada1
Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea1
Department of Electrical Engineering, Indian Institute of Technology Delhi, India1
Department of Computer Science and Engineering, Indian Institute of Technology Delhi, India1
Department of Computer and System Sciences, Visva-Bharati University, Santiniketan - 731 235, India1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Dhofar University, Oman, Salalah1
LARODEC Laboratory, University of Tunis, Tunis, Tunisia1
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong1
Department of Computer Engineering, Batman University, Batman, Turkey1
Department of Electrical and Electronic Engineering, Batman University, Batman, Turkey1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, nep@cs.york.ac.uk1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, mromero@cs.york.ac.uk1
Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea1
Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey1
College of Humanities & Sciences of Northeast Normal University, Changchun, China1
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001901
Computer Science and Engineering, Anna University, Chennai, India1
Institute of Computer Science, Shiraz Bahonar Technical College, Iran1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
University of São Paulo1
University of Porto1
Federal Institute of São Paulo1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, USA1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Rd., Houston, TX 77204, USA1
LAMIH Université de Valenciennes, Paris, France1
LGB Université Mohamed Khider, Biskra, Algérie1
LMSE Université Mohamed Khider, Biskra, Algérie1
Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea1
Department of Electronics and Communication Engineering, Amity University, Noida, India1
Hiroshima University, Higashi-Hirosima-shi, Japan1
Meijo University, Nagoya-shi, Japan1
MIT, Cambridge, MA1
Oregon State University, OR1
HES-SO, Sierre, Switzerland1
Vienna University of Technology, Austria1
University of Notre Dame, Notre Dame, IN. flynn@nd.edu1
University of Notre Dame, Notre Dame, IN. kwb@cse.nd.edu1
University of Notre Dame, Notre Dame, IN. dthomas4@nd.edu1
George Mason University, Fairfax, VA 220301
College of Mechanical Engineering & Automation, Huaqiao University, Xiamen, China1
College of Computer Science & Technology, Huaqiao University, Xiamen, China1
Computer Engineering Department, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
School of Civil and Environmental Engineering, Oklahoma State University, Stillwater, USA1
Moshanghua Tech Company, Ltd., Beijing, China1
College of Information Engineering, Xiangtan University, Xiangtan, China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, China1
Department of Imaging and Computer Vision, Siemens Corporate Research, Princeton, NJ, USA1
School of Engineering, The Australian National University, Canberra, Australia1
School of Computer Science, National University of Defense Technology, Hunan , China1
School of Computer Science, National University of Defense Technology, Changsha , China1
College of Information System and Management, National University of Defense Technology, Changsha, China1
Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Department of Electrical Engineering, Columbia University, New York, NY1
Department of Statistics, Stanford University, Stanford, CA1
Department of Computer Science, University of Toronto, Canada1
School of Computer Engineering, Nanyang Technological University, Singaore, Singapore1
Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Waterloo, ON, Canada1
School of Electrical & Electronic Engineering, Nanyang Technological University, 639798 Singapore1
Department of School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Institute of Electrical Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland1
Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Milan, Italy1
UNLV STEM, Las Vegas, Nevada1
School of Computer Science and Information Technology, University of Nottingham, Nottingham, UK1
Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN, USA1
Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India1
Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India1
Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India1
Department of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
VU Amsterdam, Van der, Amsterdam, The Netherlands1
University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, UK1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Brazil1
Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Brazil1
Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA1
Anhui Keli Information Industry Co. Ltd., Hefei, China1
Key Laboratory of Machine Perception (Peking University), MOE, Department of Machine Intelligence School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
INRIA, Grenoble Rhône-Alpes Research Center, Paris, France1
CWI, Amsterdam, Netherlands1
VU University Amsterdam, Amsterdam, Netherlands1
Universitat Politecnica de Catalunya, Barcelona, Spain1
TU Munich, Munich, Germany1
Department of Computer Science and Engineering, Indian Institute of Technology, Guwahati, India1
UNSW Art & Design, University of New South Wales, Sydney, Australia1
Department of CSE, Annamalai University, Chidambaram, India1
Department of ECE, Annamalai University, Chidambaram, India1
(CSE)PGOI, Indore1
PGOI, Indore1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA1
Computer Sciences Department, University of Wisconsin, Madison, USA1
Shaanxi Provincial Key Laboratory of SIIP, School of Computer Science, Northwestern Polytechnical University, Xi'an China1
University of Naples Federico II, Napoli, Italy1
IBM T. J. Watson Research Center, International Business Machines, Yorktown Heights, USA1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna1
School of Computing and Communications, University of Technology Sydney, NSW 2007 Australia1
Electrical and Electronic Engineering Department, Public University of Navarra, Pamplona, Spain1
Department of Computer Architecture, University of Málaga, Málaga, Spain1
Faculty of Science, Department of Mathematics, Aswan University, Egypt1
Google Research, Mountain View, CA 94043, USA1
Google Research, New York, 10011, USA1
RheinAhrCampus der Hochschule Koblenz, Remagen, Germany1
Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China1
Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany1
Dept. of Electrical Engineering, Beijing Jiaotong University, China1
Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France1
Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore1
Dept. Electronics & Communication Engineering Karunya University, India1
Dept. Electronics & Communication Engineering, Karunya University, India1
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France1
College of Automation, Shenyang Aerospace University, China1
Intelligent Systems Laboratory, Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea1
University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD1
College of Computer, National University of Defense Technology, Changsha1
School of Electrical and Electronic Engineering, College of Engineering, Nanyang Technological University, Singapore1
Department of Emergency Medicine, Singapore General Hospital, Singapore1
Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey1
Université Sétif Institute dʼnélectronique, Lab. de Génie Electrique, Sétif, 19 000, Algeria1
Computer Science Department, Mohamed El Bachir El Ibrahimi University Bordj Bou Arrerridj, 34000, Algeria1
Ouargla, Fac. Des nouvelles Technologies dʼninformation et de La communication Lab. de Génie Électrique,LAGE, Université, Ouargla, 30 000, ALGERIA1
Department of Civil Engineering, University of Nottingham, Ningbo, 315100, China1
Centre for Advanced Spatial Analysis, University College London, London, UK1
Department of Geographical Science, University of Nottingham, Ningbo, 315100, China1
International Doctoral Innovation Centre, University of Nottingham, Ningbo, 315100, China1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China1
Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
Center for Visual Information Technology (CVIT), IIIT, Hyderabad, India1
Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece1
Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA1
CSIRO and the Australian National University (ANU), Australia1
College of Technological Innovation, Zayed University, UAE1
Institute of Computing, University of Campinas, Brazil1
MIR@CL Laboratory, Faculty of Sciences of Sfax (FSS), University of Sfax, Sfax, Tunisia1
Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
MIR@CL Laboratory, Faculty of Economics and Management of Sfax (FSEGS), University of Sfax, Sfax, Tunisia1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Computer Vision Group, University of Jena, Jena, Germany1
Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany1
Daimler AG, R&D, Germany and University of Jena, Jena, Germany1
PERCEPTION Team, INRIA Grenoble Rhône-Alpes, France1
Institute of Advanced Technology and College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Vision and Systems Laboratory, Laval University, Quebec, Canada1
School of Informatics, University of Edinburgh, 10 Crichton Street EH8 9AB, U.K.1
School of Electronic Engineering, Xidian University, Xi’an, China1
Computer Science Department, Xiamen University, Xiamen, China1
Academic Center for Computing and Media Studies, Kyoto University1
Translational Research Department, Residual Tumor and Response to Treatment Laboratory, RT2Lab, Institut Curie, Paris, France1
Pathology Department, Institut Curie, Paris, France1
University of Science & Technology, Beijing, China1
Digital World Research Centre, University of Surrey, UK1
Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia1
Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China1
Department of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany1
Shin-Guang Elementary School, Yulin 646, Taiwan1
School of Computer and Information Science, Southwest China University, Chongqing, China1
Electrical Electronic Engineering Department, Eastern Mediterranean University, Gazima¿usa, North Cyprus1
University of Stirling, Stirling, UK1
University of Edinbrugh, Edinburgh, UK1
Cisco Systems, Inc., CA, USA1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electronics and Comm. Dept., Kakatiya University, Warangal, India1
Electrical Engineering Department, University of California, Los Angeles1
Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China1
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, People’s Republic of China1
Capital University of Economics and Business, Beijing, China1
Université catholique de Louvain, Belgium1
Université Clermont-Auvergne1
Wisimage1
Member, IEEE, Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: k.messer@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: j.kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: c.chan@surrey.ac.uk1
School of Computing & Mathematics, Charles Sturt University, Albury, NSW 2640, Australia1
Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia1
School of Computing & Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia1
LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco1
LSI, Department of Mathematics, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
IBM Research, Australia, Level 5, Lygon street, Carlton, Australia1
Department of Computer and Information Science, Temple University, Philadelphia, PA1
Department of Computational Science Technology, KTH Royal Institute of Technology, Sweden1
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, 75013, France1
Easwari Engineering College, Anna University, Chennai, India1
Department of Computer Science and Engineering, Anna University, Chennai, India1
School of Science, RMIT University, Melbourne, Australia1
Data61, CSIRO, Canberra, Australia1
Department of Computing and Information Systems, University of Melbourne, Parkville, Australia1
Information, Production and System Research Center, Waseda University, Kitakyushu, Japan1
Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-2080161
Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China1
Key Laboratory of Computer Vision and System, Tianjin University of Technology Ministry of Education, Tianjin, China1
ME Communication Systems M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India1
M.kumarasamy college of Engineering, Thalavapalayam, Karur, India1
Department of Computer Science, Cornell University and Cornell NYC Tech1
Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China1
School of Automation Science and Electrical Engineering, Beihang University, Beihang, China1
School of Information Science and Engineering, Shandong Agricultural University, Taian, China1
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China and Anhui Institute ...1
University of Sao Paulo - ICMC/USP, Brazil1
Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China1
Department of Information Management, Cheng Shiu University China1
Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China1
Department of Experimental Psychology, Ghent University, Ghent, Belgium1
Department of Digital Media Technology, Huanggang Normal University, Huangzhou, China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, China1
School of Communication Engineering, Jilin University, Changchun, China1
Department of Informatics, University of Hamburg, Knowledge Technology, Hamburg - Germany1
Tang Department of Communication Engineering, National Central University Jhongli City, Taoyuan County 32001, Taiwan1
Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan1
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A.1
Center for Comparative Medicine, University of California, Davis, U.S.A.1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh1
Information and Communication engineering, Academy of Broadcasting Science, Beijing, China, No.2 Street Fuxingmenwai, Beijing, China1
Innovation Center, Serbia1
School of Electrical Engineering, University of Belgrade, Serbia, 11120 Belgrade1
CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France1
NLPR, Institute of Automation, Chinese Academy of Science, Beijing, People’s Republic of China1
Costel, Université de Rennes 2, Rennes, France1
IRISA, Université de Bretagne Sud, Vannes, France1
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)1
Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland1
University of Windsor, Canada1
Laboratoire d'InfoRmatique en Image et Systèmes, d'information (LIRIS) Université de Lyon, CNRS, Ecole Centrale Lyon (ECL)1
CEERI Pilani, India1
Arizona State University, Tempe, AZ, 85281, USA1
Australian Centre for Robotic Vision, Australian National University1
College of Engineering & Computer Science, Australian National University1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. ysmoon@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. thyu@cse.cuhk.edu.hk1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle, Pandon Building, Newcastle upon Tyne NE2 1XE, UK1
Laboratory of Intelligent and Communication Systems Engineering (LISIC), Electronics and Computer Science Faculty, USTHB. P.O. box 32, El Alia, Bab Ezzouar, 16111, Algiers, Algeria1
Univ Ouargla, Fac. des nouvelles technologies de l'information et de la communication, Lab. de Génie Électrique, Ouargla 30 000, Algeria1
College of Computer Science and Technology of Huaqiao University, Xiamen, China1
DxO Company, Villetaneuse, France1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
France Telecom - Orange Labs, Lannion, France1
Department of Information Engineering, University of Siena, Siena, Italy1
School of software, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C.1
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, R.O.C.1
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C.1
Department of Software Engineering, King Saud University, Saudi Arabia1
Faculty of Electrical Engineering, Mathematics and Computer Science, Intelligent Systems Department, Delft University of Technology, 2628 CD, The Netherlands1
Department of Electronics Engineering, State University of Makassar, Indonesia1
Seven Department, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China1
Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 26400, China1
Armament Branch of NED, Beijing 100073, China1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. chengjun.liu@njit.edu1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. zl9@njit.edu1
School of Mathematics and Computational Science, Sun Yat-sen University, China1
Department of Mathematics and Informatics, J. Selye University, Komárno, Slovakia1
Institute of Informatics, University of Szeged, Szeged, Hungary1
Computer Science Department, Stanford University, USA1
Electrical and Computer Engineering, UNIST, Korea1
Princeton University, USA, Universidad del Norte, Colombia1
Department of Electrical Engineering, Sajaad University, Mashhad, Iran1
Hefei University of Technology, Hefei, Anhui, 230009, China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
Control Syst. Centre, UMIST, Manchester, UK1
Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan1
Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan1
Altek Corporation, Hsinchu, Taiwan1
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan1
Graduate School of Engineering Science and Technology-Doctoral Program, and the Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan1
Yahoo Labs, New York, USA1
Yahoo Labs, Barcelona, Spain1
College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA1
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Medical Biometrics Perception and Analysis, Engineering Laboratory, Shenzhen, China. Shenzhen, China1
Sharp Laboratories of America, 5750 NW Pacific Rim Blvd., Camas, WA 98607, USA1
Tikkurila Oyj, Vantaa, Finland1
Department of Engineering Science, Visual Geometry Group, University of Oxford, Oxford, United Kingdom1
EECS Department, University of California Berkeley, Berkeley, CA1
Institute for Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, UK1
Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary1
Institute for Sustainable Futures, University of Technology, Sydney, Australia1
Quantitative Imaging, CSIRO Data61, Australia1
School of Computer Science, University of Manchester, Manchester, UK1
College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China1
Yancheng Institute of Technology, Yancheng, China1
Huaiyin Normal University, Huai’an, China1
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, 201804, China1
CNR ISM-Institute of the Structure of Matter, Roma, Italy1
Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
Graduate University of Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
College of Computing & InformaticsDrexel University Philadelphia1
Dept. of Electrical and Electronic Eng., Eastern Mediterranean University, Gazimagusa, KKTC, Turkey1
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1
School of Electrical, Computer, and Telecommunications Engineering, University of Wollongong, Wollongong, Australia1
School of Computing and Mathematics, Charles Sturt University, Albury, Australia1
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O. Box 823, SE-301 18, Halmstad, Sweden1
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China1
IBISC laboratory, Evry, France1
Department of Computer Science, University of North Carolina Wilmington, Wilmington, United States1
Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC1
Elektrik ve Elektronik Mühendisliği Bölümü, Lefke Avrupa Üniversitesi, KKTC1
University of Illinois Urbana-Champaign, USA1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India1
Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco1
Microsoft Photogrammetry Graz, Austria1
Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France1
Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain1
University of Kentucky, Lexington, KY1
Guangdong University of Technology, Guangdong, China1
University of Electronic Science and Technology of China, Sichuan, China1
Qingdao University, Shandong, China1
Engineering & Research Center of E-learning, Changchun, China1
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Danang University of Technology, Vietnam1
Dept. Clinical Psychology University, College London London, United Kingdom1
National Taiwan University, Taiwan, China1
SLAC National Laboratory, Stanford University, Stanford, USA1
IWE II, RWTH Aachen University, Aachen, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore1
Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China1
The University of Michigan, Ann Arbor, MI, USA1
School of Computer, Electronics and Information, Guangxi University1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. malasiot@iti.gr1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. filareti@iti.gr1
Human-Centred Technology Research Centre, University of Canberra, Bruce, Australia1
Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, India1
Faculty of Computers and Information Sciences, Mansoura University, Egypt1
Tianjin University, Tianjin & Institute of Information Engineering, Beijing, China1
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda1
University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland1
University of Bologna, Bologna, Italy1
Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China1
College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China1
Technion, Haifa1
Technion - Israel Institute of Technology, Haifa1
State Key Laboratory of Smart Grid Protection and Control, Nanjing, China1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China1
Faculty of Information Science & Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka Malaysia1
Poongsan Defense R&D Institute1
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, P.R. China1
School of Information Science & Technology, Southwest Jiaotong University, Chengdu, P.R. China1
Gdansk University of Technology, Gdansk, Poland1
Shenzhen Academy of Robotics, Shenzhen, China1
College of Liberal Studies, Seoul National University, Korea1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China1
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Department of Computer Science, Dr P G Halakatti Post Graduate Centre, “Vachana Sangama”, Rani Channamma University, Vijayapur, India1
Columbia University, New York1
Universitat Oberta de Catalunya, Barcelona1
Universitat de Barcelona, Barcelona1
Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand1
Mechanical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011031
National Inst. of Stand. & Technol., Gaithersburg, MD, USA1
Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand1
Fraunhofer Institute for Telecommunications, Berlin, Germany1
Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany1
Siemens AG, Corporate Technology, Munich, Germany1
Faculté Polytechnique de Mons - TCTS 31, Mons, Belgium1
IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland1
Nat. Taipei Univ., Taiwan1
MPI Tübingen, Germany1
Leibniz Universität Hannover, Germany1
College of Cyber Security, Jinan University, Guangzhou, China1
CPSLAB, ASRI, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea1
University of Burgundy, Le2i Laboratory, Le Creusot, France1
Department of Computer Science, Air Force Engineering University, Xi’an, China1
Changshu Institute of Technology, Changshu, China1
Department of Electronics, Kyungil University, Daegu, Korea1
Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia1
Department of Control and Information Systems Engineering, National Institute of Technology, Kurume Collage, Fukuoka, Japan1
Advanced Engineering School Mechanical and Electrical, Systems Engineering Advanced Course, National Institute of Technology, Kurume Collage, Fukuoka, Japan1
Department of Electrical and Computer Engineering, College of Computer and Information Science, Northeastern University, Boston, MA, USA1
SK Telecom, Seoul, Republic of Korea1
KAIST, Daejeon, Republic of Korea1
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India1
Carnegie Mellon University, tk@cs.cmu.edu1
Siemens Corporate Research, yakup.genc@siemens.com1
Siemens Corporate Research, yanghai.tsin@siemens.com1
Carnegie Mellon University, yanli@cs.cmu.edu1
Robotics and Embedded Systems, Technische Universität München, Garching, Germany1
Tokyo Institute of Technology, Japan1
Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 487101
School of Computer, Wuhan University, China1
School of Physics, Nanjing University, China1
Electrical and Electronic Engineering, Imperial College London, UK1
Information Science and Electrical Engineering, Kyushu University, Japan1
Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan1
Kent State University, Kent, USA1
Texas A&M University, College Station, USA1
The DiVE, Durham, USA1
Side Effects Software, Santa Monica, USA1
IBM T.J. Watson Research Center, Yorktown Heights, USA1
University of Houston, Houston, USA1
University of Nevada, Reno, USA1
ICT Center, CSIRO, Brisbane, Australia1
ICT Center, CSIRO, Sydney, Australia1
Georgia Institute of Technology, USA1
Chinese Academy of Sciences, Beijing, 100080, China1
Control Eng. & the Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Taipei, Taiwan1
Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA1
Center for OPTical Imagery Analysis and Learning, Northwestern Polytechnical University, Shaanxi, China1
TCTS Lab, Faculté Polytechnique de Mons, Belgium1
Speech Technology Group, Technical University of Madrid, Spain1
TALP Research Center, Universitat Politècnica de Catalunya, Spain1
Electrical and Electronics Engineering Dept., Bogazici University, Turkey1
AIIA Lab, Aristotle University of Thessaloniki, Greece1
TELE Lab, Université catholique de Louvain, Belgium1
Department of Statistics, Psychology and Computer Science, University of California at Los Angeles, Los Angeles, USA1
Alibaba Group R&D, Hangzhou, P.R. China1
Department of Statistics, University of California at Los Angeles, Los Angeles, USA1
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg1
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal1
Department of Electrical and Computer Engineering, Instituto de Telecomunicações, University of Coimbra, Coimbra, Portugal1
Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France1
Securics, Inc. Colorado Springs, CO, USA1
Institute of Computing, University of Campinas (Unicamp) Campinas, SP, Brazil1
TRI-UHN, Toronto, ON M5S2E4 Canada1
TWH-UHN, Toronto, ON, M5S1A8 Canada1
The Ottawa Hospital Research Institute, Department of Medicine, University of Ottawa, ON, K1H8M5 Canada1
TRI-UHN, Toronto, ON, M5G2A2 Canada1
Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States1
Onfido, London, United Kingdom1
Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA1
Microsoft Research Asia, Beijing, P. R. China1
Department of Electrical and Computer Engineering, College of Engineering, and College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Singapore Management University, Singapore1
School of Electronics and Information Engineering, Xi’an Jiaotong University, China1
Department of Electrical and Computer Engineering, College of Engineering, Northeastern University, Boston, MA, USA1
Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
KU Leuven, Leuven, Belgium1
University of Washington, Tacoma & Ghent University, Tacoma, WA, USA1
University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA1
University of Texas at Dallas, Dallas, TX, USA1
Department of Software Engineering, King Saud University, Riyadh, Saudi Arabia1
Kamala Nehru Institute of Technology, Sultanpur, India1
Designer at the National Institute of Design, Ahmedabad, India1
Faculty of Engineering & Technology, Chattisgarh, India1
Rajarshi School of Management and Technology, Varanasi, India1
Kodak Research Laboratories, Eastman Kodak Company, Rochester1
Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran1
Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran1
Electrical and Computer Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computing Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand1
Sandia National Labs Albuquerque, NM1
Grupo de Investigación GDSPROC Universidad del Quinío1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
State Grid Zhangjiakou Power Supply Company, Zhang Jiakou, 075000, China1
School of Big Data and Software Engineering, Chongqing University, Chongqing, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
College of Medical Informatics, Chongqing Medical University, Chongqing, China1
Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France1
Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt1
OmniVision Technologies Singapore Pte. Ltd., Singapore1
Platinum Solutions, Inc, Reston, Virginia United States1
Naval Criminal Investigative Services, NCIS, Washington, DC United States1
Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan1
Department of Computer Science and Technology, Xiamen University of Technology, Xiamen, China1
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China. anthonyming@gmail.com1
Kiel University, Kiel, Germany1
University of Koblenz, Koblenz, Germany1
Federal University of Ceará, Fortaleza, Brazil1
Federal Institute of Education, Science and Technology of Paraiba, Esperança, Brazil1
Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil1
Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil1
School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Korea1
Mathematics and Computing Engineering, Delhi Technological University, Delhi, India1
Computer Science and Engineering, Delhi Technological University, Delhi, India1
Department of Electronics and Communication Engineering, Indraprastha Institute of Information Technology, Delhi, India1
Department of Information, The Third Affiliated Hospital, Sun Yat-sen University, China1
Baidu Big Data Research Laboratory, Sunnyvale, CA, USA1
IIT-M1
Omsk State Technical University (OmSTU), Omsk, Russia1
Google and Hewlett-Packard Labs1
LinkedIn and Hewlett-Packard Labs1
Amirkabir University of Technology, Electrical Engineering Department, Tehran, Iran1
School of Computing and Communication, University of Technology Sydney, Sydney, Australia1
School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China1
School of Electronic and Information Engineering, Beihang University, Beijing, People’s Republic of China1
Department of Computer Science and Technology, Wuhan Technology and Business University, 430065, China1
Department of Psychology and IIASS, Second University of Naples, Caserta, Italy1
AIIS Inc, Columbus, USA1
Wright State University, Dayton, USA1
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia1
Disney Research, 4615 Forbes Ave, Pittsburgh, PA 15213, USA1
Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tirunelveli, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Environment Perception, Daimler AG, Ulm, Germany1
AMLab, University of Amsterdam, Amsterdam, The Netherlands1
Boeing Company, Huntington Beach, CA1
California State University, Fullerton and Binghamton University, Binghamton, NY1
Harbin Engineering University, Harbin, China1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch1
University of Tokyo, Japan1
School of Optical Engineering, Beijing Institute of Technology University, Beijing, China1
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, P.R. China1
Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China1
Tractebel Energia, Saudades do Iguaçu, PR, Brazil, 85568-0001
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei 230027; Department of Electronic Science & Technology, University of Science and Technology of China, Hefei 230027. E-mail: zlsustc@gmail.com1
Noblis, Annandale, VA, USA1
Tractebel Energia S. A., Saudade do Iguaçu, PR, Brazil1
Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, China1
Northwestern Polytechnical University, Xi'an University of Science and Technology, Shaanxi, China1
NODET, Iran1
Department of Biomedical Engineering, Hakim Sabzevari University, Iran1
Department of Electrical Engineering, Hakim Sabzevari University, Iran1
Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.1
Division of Information System, The University of Aizu, Aizuwakamatsu, Japan1
Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan1
Information and Technology Department, Nanjing Forest University, Nanjing, China1
Computer Science and Technology Department, Nanjing University, Nanjing, China1
Computational Brain Science Lab, Department of Computational Science and Technology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden1
3-8-1 Nishi-kanda, Morpho, Inc., Chiyoda-ku, Tokyo, 101-0065, Japan1
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil1
Department of Electrical Engineering, Florida State University, Tallahassee, USA1
Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France1
Department of Statistics, Florida State University, Tallahassee, USA1
Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
Guangxi Experiment Center of Information Science, Guilin, China1
Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China1
Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan1
SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France1
Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany1
KIT, EPFL1
Jaypee University of Engineering and Technology, Guna, India1
Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy1
Department of Electrical and Electronic Engineering, University of Surrey, Guildford, U.K.1
University of Athens,, Athens, Greece1
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece1
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, USA1
Department of Electrical and Computer Engineering, Clemson University, USA1
Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China1
College of computer & communication engineering, Qingdao, China1
Thales UK, Glasgow1
University of Nebraska State Museum, Lincoln, NE, USA1
TERC, Cambridge, MA, USA1
University of Nebraska, Lincoln, Lincoln, NE, USA1
Northwestern University, Chicago, IL, USA1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
Monash University, Caulfield East, Australia1
School of Math and Geospatial Sciences, Royal Melbourne Institute of Technology University , Melbourne, Australia1
School of IT, Deakin University, Geelong, Australia1
Department of radiology, Stanford University, CA, USA1
Intelligent Fiber Optic Systems Corporation, Santa Clara, CA, USA1
LSIIT, Strasbourg University - CNRS - INSA, Strasbourg, France1
Japan Automobile Research Institute, Minato-ku, Tokyo 105-0012, Japan1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA1
Department of Computer Science, Stanford University, Stanford, USA1
School of Mathematics, Beihang University, Beijing, China1
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada. shand@ece.ubc.ca1
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
Queensland University of Technology (QUT)1
Technicolor, Cesson-Sévigné, France1
Universidad de Zaragoza, I3A, Zaragoza, Spain1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India1
School of Software, Xi’an Jiaotong University, Xi’an, China1
Department of Computer Science and Information Systems, London, U.K.1
National Laboratory of Pattern Recognition, Institute of Automation, Bejing, China1
Department of Automation, Beijing, China1
Institute of Intelligent System and Decision, Zhejiang, China1
Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
CEERI, Pilani, India1
MNIT, Jaipur, India1
Northumbria University, Newcastle, U.K.1
Faculty of Electronic Engineering, Department of Physics and Electronic Engineering, Taishan University, Tai’an, China1
Faculty of Electronic and Communication, Department of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
IBM T. J. Watson Research Center, New York, USA1
Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
School of Science and Technology, Tokai University, Tokai, Japan1
European University Cyprus, Nicosia, Cyprus1
IMIS, R.C. Athena, Athens, Greece1
CNRS, Université de Lyon, Lyon, France1
Teklia SAS, Paris, France1
LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France1
A2iA SA, Paris, France1
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China1
School of Mathematics, Central China Normal University, Wuhan, China1
UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, J12/318 Cleveland St, Darlington, NSW, Australia1
Department of Computer Science, University of Mysore, Mysore, India1
National Science Library, Chinese Academy of Sciences, Beijing, China1
Departament de Ciències de la Coputació, Computer Vision Center, Universitat Autònoma de Barcelona, Catalonia, Spain1
Department of ECE, PEC University of Technology, Chandigarh, India1
Biomedical Instrumentation (V-02), CSIR-Central Scientific Instruments Organisation (CSIO)|, Chandigarh, India1
Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India1
Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea1
Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca NY, 14853, USA1
Jewelry Institute, Guangzhou Panyu Polytechnic, Guangzhou 510006, China1
Senior Member, IEEE1
Department of Computer Science, Minjiang University, Fuzhou, People’s Republic of China1
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, People’s Republic of China1
Center for Biological and Computational Learning, M.I.T., Cambridge, USA1
FZI Research Center for Information Technology, Mobile Perception Systems, 76131 Karlsruhe, Germany1
Department of Computer Engineering, Rochester Institute of Technology, NY, 14623, USA1
Center for Imaging Science, Rochester Institute of Technology, NY, 14623, USA1
Istanbul Technical University, Computer Engineering Department, 34469, Turkey1
Universidade de Vigo, Spain1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. claus.neubauer@siemens.com1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. chao.yuan@siemens.com1
Department of Computer Science and Engineering, Sogang University, Seoul, Republic of Korea1
Lenovo, Beijing, China1
JD AI Research, Beijing, China1
National Engineering Lab for Video Technology, Peking University, Beijing, China1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning, Chinese Academy of Sciences, Xi’an, China1
Research Institute 704, Academy of Aerospace Electronics Technology, Beijing, China1
School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India1
School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India1
Aalto University, espoo, Finland1
Universitat Autonoma de Barcelona, barcelona, Spain1
Linkoping University, Linkoping, Sweden1
Aalto University, Espoo, Finland1
Visual Geometry Group, Department of Engineering Science, University of Oxford1
School of Computer Science and Technology, Nanjing University of Science and Technology of China, Nanjing, People’s Republic of China1
University of Maryland, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, College Park, Shanghai, MD, USAChina1
Mirada Medical Ltd., Oxford, UK1
Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK1
Center for Advanced Studies in Identity Sciences, Clemson University, Clemson, SC, USA1
Center for Advanced Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA1
Department of Electronics and Telecommunications Engineering, Danang University of Science and Technology1
University of Rochester, New York, USA1
Microsoft Research, Beijing, People’s Republic of China1
University of Michigan, Ann Arbor1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain1
Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain1
Universidad de Valladolid, Valladolid, Spain1
Universidad Politecnica de Cataluña, Terrassa, Spain1
Escuela Universitaria Politecnica de Mataro, Mataro, Spain1
EPS, Universidad Autonoma de Madrid, Madrid, Spain1
University of Pittsburgh, Pittsburgh and Carnegie Mellon University, Pittsburgh1
Center for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada1
University of Dundee, Dundee, United Kingdom1
Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Department of Developmental Psychology, Radboud University, Nijmegen, The Netherlands1
Pluryn, Hoenderloo, The Netherlands1
Stichting Otto Gerhard Heldring, Zetten, The Netherlands1
Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands1
Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands1
Centre for Cognition, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands1
Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
School of Tai-an, Shandong University of Science and Technology, Tai-an, China1
Nara Inst. of Science and Technology, Nara, Japan1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi’an, China1
Department of Computer Scicence and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. E-mail: csqjzhao@polyu.edu.hk1
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA1
Baidu Research-Institute for Deep Learning, Baidu Inc., Beijing, China1
Xi'an Jiaotong University1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
Department of CSE, PSIT COE, Kanpur (India)1
Agency for Science Technology and Research, Institute for Infocomm Research, Singapore1
Treelogic, Technological Scientific Park of Asturias, Llanera, Spain1
Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain1
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain1
The School of Electrical Engineering and Automation, Harbin Institute of Technology, P.R. China1
The School of Computer Science and Software Engineering, Shenzhen University1
The Faculty of Science & Technology, Bournemouth University, UK1
Integrated Management Coastal Research Institute, Universitat Politècnica de València, València, Spain1
Department of Computer Science, Madrid Open University, Madrid, Spain1
Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain1
Sunway University, 46150 Petaling Jaya, Malaysia1
Robotics, Perception and Real-Time Group, University of Zaragoza, Spain1
Electronics Engineering and Computer Science Department, Fukuoka University, Japan1
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395 Japan1
The University of York, UK1
The University of Tokushima, Japan1
Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan1
Department of Electrical Engineering, National University of Kaohsiung, Taiwan1
Toyota Technological Institute, Chicago (TTIC)1
Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China1
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
School of Software Engineering, Jinling Institute of Technology, Nanjing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100196, China1
Università degli Studi di Cagliari, Italy1
Graduate Institute of Networking and Multimedia, National Taiwan University1
VLSI Design and Education Center (VDEC), The University of Tokyo1
Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA1
Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA1
Shanghai University, China1
Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China1
Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands1
Department of Computer Science, Middlesex University, London, UK1
KK Women’s and Children’s Hospital, Singapore1
Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA1
Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
School of Computer Science and Engineering, Shandong Normal University, Jinan, China1
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China1
Department of Computer Science and Engineering, Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, OH, USA1
Department of Computer Science, Inner Mongolia University, Hohhot, China1
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, P.R. China1
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096, P.R. China1
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Pakistan1
Department of Electrical and Electronics Engineering, University of Sheffield, UK1
Institute of Computing Technology, Chinese Academy of Science, Beijing, China1
Institute of Computing Technology, CAS & University of Chinese Academy of Sciences1
National Taichung University of science and Technology, Taichung1
Institute of Optics and Electronics, Chinese Academy of Science1
Institute of Optics and Electronics, Chinese Academy of Science, University of Chinese Academy of Sciences1
Institute of Optics and Electronics, Chinese Academy of Science, University of Electronic Science and Technology of China, University of Chinese Academy of Sciences1
* MIT CSAIL1
IRSEEM1
Graph@FIT, Brno University of Technology, Brno, Czech Republic1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China1
Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China1
Université Paris-Est, LISSI, UPEC, 94400 Vitry sur Seine, France1
National Institute of Standards and Technology, Gaithersburg, MD 45435, USA1
Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA1
Hubei University, Wuhan, China1
Kumamoto University, Kumamoto, Japan1
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, CASIA, Beijing, China1
Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China1
Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA1
Laboratory of Precision Opto-Mechatronics Technology, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China1
Morpho, Safran Group and Télécom ParisTech, CNRS LTCI and Université Pierre et Marie Curie, LIP61
Morpho, Safran Group and Ecole pour l'Informatique et les Techniques Avancées (EPITA)1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology , Brisbane, Australia1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia1
Commonwealth Scientific and Industrial Research Organization, Pullenvale, Australia1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA , USA1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA1
Key Laboratory of Intelligent Processing, Institute of Computing Technology, CAS, Chinese Academy of Sciences (CAS), Beijing, People’s Republic of China1
Visiting Faculty, CVIT, IIIT Hyderabad, India1
School of EECS, Queen Mary University of London, London, UK1
Department of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China1
Institute of Communication and Computer Systems, Athens, Greece1
Technical University of Crete, Chania Crete1
Disney Research, Zürich, Switzerland1
Google, Seattle, WA, USA1
Facebook, New York, NY, USA1
Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
University of Wollongong, Wollongong, Australia1
The University of Hong Kong, Pokfulam, Hong Kong1
University of Nottingham Ningbo China, Ningbo, China1
CSE, SUNY at Buffalo, USA and Southeast University, China1
Vehicle Engineering Development Div., Toyota Motor Corporation, Japan1
Collaborative Safety Research Center, Toyota Motor Engineering & Manufacturing North America Inc., USA1
Knowledge Enterprise Development, Arizona State University, Tempe, 85287-5406 United States1
Computer Science, Florida State University, Tallahassee, United States1
Computing Informatics and Decision Systems Engineering, Arizona State University, Tempe, United States1
Eedoo Inc, Beijing, China1
Oak Ridge National Laboratory, Tennessee, USA1
Departamento de Estatística, Signal Processing Group, Universidade Federal de Pernambuco, Recife, Brazil1
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France1
School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
Department of Telecommunication, AGH University of Science and Technology, Kraków, Poland1
Department of EEE, Xi’an Jiaotong-Liverpool University, Jiangsu, China1
The College of Information Engineering, Xiangtan University, Hunan, China1
Res. Center for Learning Sci., Southeast Univ., Jiangsu, China1
Department of Cognitive Systems, University of Tübingen, Germany, 720761
The State Key Laboratory of High Performance Computing (HPCL), National University of Defense Technology, Changsha, China, 4100731
Department of Electrical Engineering, PEC University of Technology, Chandigarh-160012, India1
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
Laboratoire LITIS EA 4108, Normandie Université, INSA de Rouen, France1
School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea1
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, AUSTRALIA. email: fhct243@uow.edu.au1
Faculty of Information Technology, VUT — Brno University of Technology, Brno, Czech Republic1
IBM T. J. Watson Research Center1
Department of Control Engineering, Istanbul Technical University, Turkey1
School of Computer Science and Technology, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). enrique.cabello@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). angel.serrano@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). cristina.conde@urjc.es1
MPI Informatics, Saarbrücken, Germany1
Department of Mechanical Engineering, Middle East Technical University1
Department of Electrical and Computer Engineering, University of Toronto Toronto, Canada1
School of Information Science and Engineering, Yunnan University, Kunming, P. R. China1
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium1
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany1
Department of Clinical Psychology und Psychotherapy, University of Tübingen, Tübingen, Germany1
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, Modena, Italy1
Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Facebook, Menlo Park, USA1
FXPal, Palo Alto, CA, USA1
Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia1
School of Computer Science and Techonolgy, Beiing Institute of Technology Beijing, China1
Artificial Intelligence Laboratory, University of Zurich, Switzerland1
ECE, University of Illinois at Urbana-Champaign, USA1
ECE, National University, of Singapore, Singapore1
AI Lab, TAL Education Group, College of Electronics and Information Engineering, Sichuan University, Chengdu, China1
Institute of High Performance Computing, A*STAR, Singapore1
3OmniVision Technologies Singapore Pte. Ltd., Singapore1
Department of ECE, National University of Singapore, Singapore1
Department of Computer Science and Technology, Yangzhou University, Yangzhou, People’s Republic of China1
School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, People’s Republic of China1
Dept. for Sensor Data and Information Fusion, Fraunhofer FKIE, Germany1
School of Computing and Information, Hefei University of Technology, Hefei, China1
EURECOM, Sophia-Antipolis, France1
EECS, University of Central Florida, Orlando, USA1
Dept. of Information Engineering, University of Trento, Povo, Italy1
Department of Computer Science and Technology, Jiangnan University, Wuxi, China1
Department of Electrical/Electronics Engineering, Atilim University, Ankara, Turkey1
Department of Electrical/Electronics Engineering, Middle East Technical University, Ankara, Turkey1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology of Sydney, Ultimo, Australia1
Department of Electronic Science and Engineering, National University of Defense Technology, Changsha, China1
Department of Mathematics and Systems Science, National University of Defense Technology, Changsha, China1
Low Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang, China1
Institute for Infocomm Research, A*STAR, Singapore, Université Pierre et Marie Curie, Paris, France and Image & Pervasive Access Lab, UMI CNRS 2955, Singapore1
Shanghai Jiao Tong University, Shanghai, China and National University of Singapore, Singapore1
Hanoi University of Science and Technology, Hanoi, Vietnam and National University of Singapore, Singapore1
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia1
University, Kowloon, Hong Kong1
Seelicon Research, Princeton, NJ1
Columbia University, NEW YORK, NY, USA1
Bell Labs, Cambridge, UK1
Kings College, London, UK1
Istituto Nazioinale di Ottica - CNR, Italy1
Istituto Nazionale di Ottica - CNR, Italy1
Department Obstetrics and Gynecology, University at Buffalo, SUNY Buffalo NY 14260 USA1
Department of Computer Science Engineering, University at Buffalo, SUNY, Buffalo NY 14260 USA1
Robotic Surgery, Kaleida Health Western New York, Buffalo NY 14214 USA1
University of North Carolina at Wilmington, CIS Building, Wilmington NC1
Clemson University, Clemson, S.C.1
INRIA, GRAVIR-CNRS, Montbonnot, France1
University of Leuven, Leuven, Belgium1
University of Oxford, Oxford, United Kingdom1
Department of Computer Science, Chungnam National University, Daejeon, Korea1
US Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA1
University of Tehran, Tehran, Iran and University of Ottawa, Ottawa, Canada1
Department of Mathematics and Statistics, Portland State University, Portland, OR, USA1
School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA1
Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, USA1
Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing 1001901
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 1001901
Toyota Research Institute - North America1
CCIS, Northeastern University, Boston, USA1
College of science, Huazhong Agricultural University, Wuhan, China1
Sensing and Control Technology Laboratory, Omron Corporation, Japan1
Centre for Pattern Recognition and Machine Intelligence (CENPARMI), Concordia University, Montreal, Quebec H3G 1M8, Canada1
CNRS, LIP6 UPMC Sorbonne Universités, Paris, France1
LTCI Télécom ParisTech, Université Paris-Saclay, Paris1
Indiana University-Purdue University Indianapolis, Indianapolis, USA1
Department of Computer Science & Engineering, Jamia Hamdard University, New Delhi, India1
Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China1
R-D Department, CRIM, 550 Sherbrooke West, Suite 100, Montréal, Canada1
University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France1
Grottini Lab S.r.l., Porto Recanati, Italy1
Visionlab, Heriot-Watt University, Edinburgh, U.K.1
Institute for Digital Communications, University of Edinburgh, U.K.1
Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY 14650-1816. jiebo.luo@kodak.com1
Statistics Department, Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu1
CEFRIEL, Milan, Italy1
School of Modern Post, Beijing University of Posts and Telecommunications, Beijing, China1
Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, Chongqing University, Chongqing, China1
Department of Computer Science & Engineering, Arizona State University, Tempe, USA1
Department of Computer Science & Engineering, University of Minnesota-Twin Cities, Minneapolis, USA1
University Of Maryland, College Park, MD, USA1
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany1
Univ. Copenhagen, Denmark1
Marine Engineering College, Dalian Maritime University, Dalian, People’s Republic of China1
School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, People’s Republic of China1
Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, USA1
Yahoo, Inc.1
School of Information Science and Engineering, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China1
Information Strategy Office, Nagoya University, Aichi, japan1
Institutes of Innovation for Future Society, Nagoya University, Aichi, Japan1
Centre for Quantum Computation and Information Systems, University of Technology, Sydney, Sydney, Australia1
School of Materials Science and Engineering, Central South University, Changsha, China1
Xiamen Key Laboratory of Computer Vision and Pattern Recognition, Huaqiao University, Xiamen, China1
Ningbo Augvision Digital Tech Ltd., China1
GREYC, CNRS UMR6072, University of Caen, Caen, France1
Nanyang Normal University, Henan, China1
Department of Electronics and Communication Engineering, Project Associate-TEQIP, Directorate of Technical Education, Chennai, India1
Anna University, Chennai, India1
School of Electrical Information Engineering, Beihang University, Beijing, China1
Department of Electrical and Computer Engineering, University of Missouri Columbia, MO, USA1
College of Mathematics & Computer Science, Wuhan Textile University, 430070, China1
Inria, Campus universitaire de Beaulieu, Rennes, France1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213. msavvid@cs.cmu.edu1
Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292. mitra@isi.edu1
Division of Forensic Medicine, University of Cape Town, South Africa1
SIAT, Chinese Academy of Science, Beijing, China1
School of Computer and Communication Engineering, Light Engineering Institutes of Zhengzhou, Zhengzhou, China1
School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China1
School of Computer Science, Wuhan University, Wuhan, China, 4300721
School of Computer Science, China University of Geosciences, Wuhan, China, 4300741
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA1
SoC, NUS and School of Computing, National University of Singapore, Singapore1
The University of New South Wales, Australia1
Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA1
ESAT-PSI / IBBT, K.U. Leuven, Belgium1
Electrical and Electronic Engineering department, Imperial College London, London, U.K.1
Dept. of Information Tech., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Dept. of Electronics & Commu. Engg., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Dept. of Computer Engineering, A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
School of Computer Science and Information Technology, RMIT University, Melbourne, VIC, Australia1
Panyapiwat Institute of Management, Faculty of Engineering and Technology, Nonthaburi 11120, Thailand1
Institute of Physical Education Bangkok Campus, Faculty of Sport Science and Health, Pathumthani 12110, Thailand1
School of Communication and Information Engineering, University of Electronic Science and Technology of China, ChengDu, SiChuan, China1
National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, 100190, China1
Huawei Technologies Co. Ltd, Shenzhen, China, 5180001
S. S. College of Business Studies, University of Delhi, Delhi, India1
School of Computer & System Sciences, Jawaharlal Nehru University, New Delhi, India1
Department of Computer Science and Engineering, National Institute of Technology, Uttarakhand, India1
School of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea1
Baidu Online Network Technology (Beijing) Co. Ltd, Beijing, China1
The State University of New York at Buffalo & Jinan University, Buffalo, NY, USA1
State Key Laboratory of Computer Science and the Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing, China1
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
University of Kaiserslautern, Germany, Kaiserslautern, Germany1
RMIT University, School of Engineering, Melbourne, Australia1
Electronics & Communications Eng. Dpt., Yildiz Technical University, Istanbul, Turkey1
Electric-Electronics Eng. Dpt., Halic University, Istanbul, Turkey1
Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China1
Advanced Digital Sciences Center , Singapore1
Department of Electrical and Computer Engineering, Ajou University1
School of Software Technology, Zhejiang University, Ningbo 315048, China1
School Of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China1
School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China1
College of Computer Science, Zhejiang University, Hangzhou 310027, China1
School of Management, Huazhong University of Science and Technology, Wuhan 430074, China1
School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China1
City University of Hong Kong, Hongkong, China1
Department of Computing, Oxford Brookes University, Oxford, U.K.1
Teacher Training in Mathematics, Gazi Faculty of Education, Gazi University, Ankara, Turkey1
Computer Engineering Department, Ahmet Yesevi University, Turkistan, Kazakhstan1
Computer Engineering Department, Engineering Faculty, Gazi University, Ankara, Turkey1
Computer Engineering Department, Munzur University, Tunceli, Turkey1
Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea1
Computer Science and Electrical Engineering West Virginia University, Morgantown, USA1
Institute of Telecommunications and Computer Sciences, UTP University of Science and Technology, 85-796 Bydgoszcz, Poland1
Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea1
State Key Lab of Software Engineering, School of Computer Science, Wuhan University, Wuhan, China1
School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, North Wollongon, Australia1
Electrical and Electronics Department, Politecnico of Bari, Bari, Italy1
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, China, 1008761
Beijing Key Laboratory of Digital Media, State Key Laboratory of Virtual Reality Technology and Systems, and School of Computer Science and Engineering , Beihang University, China1
Philips Research , The Netherlands1
Department of Computer Science, Colorado State University, Fort Collins, Colorado, USA1
MSSE Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA1
Department of Electrical Engineering, Faculty of Engineering, Urmia University, Urmia, Iran1
Electrical Engineering, Department, Bu-Ali Sina University, Hamedan, Iran1
School of Computer Science, The University of Nottingham, Nottingham, U.K.1
Ozyegin University, Turkey1
IBM, UK1
Dept. of Computer, Shaanxi Electric Power' staff Training Center, Xi'an, China1
Dept. of Computer, Xi'an University of Science and Technology, China1
Istanbul Technical University, Faculty of Computer and Informatics, Istanbul, Turkey1
Faculty of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA1
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA1
University of Quebec in Outaouais, Department of Computer Science, Gatineau, Canada1
Galician Research and Development Center in Advanced Telecommunications (GRADIANT), Vigo, Spain1
Department of Computer Science and Information Engineering, and the Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan1
NICTA Canberra Research Laboratory, Australia1
NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA1
Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI 48109 USA1
Kodak Research Labs, Eastman Kodak Company, Rochester, NY, USA1
Language Technology Institute, Carnegie Mellon University1
Artificial Intelligence Research Center, National Institute of AIST1
Department of Computer Science, National Textile University, Faisalabad, Pakistan1
University of Engineering and Technology, Taxila, Pakistan1
Department of Computer Engineering, Bahria University, Islamabad, Pakistan1
Department of Computer Science, COMSATS Institute of Information Technology, Sahiwal, Pakistan1
Government College University Faisalabad, Faisalabad, Pakistan1
Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China1
Harbin University of Commerce, Harbin, China1
Dongbei University of Finance and Economics, Dalian, China1
Department of Electrical and Information Engineering, Northeast Agricultural University, Harbin, China1
Department of Computer Science and Technology, Tianjin University, Tianjin, China1
Electrical Engineering Department Semnan University Semnan, Iran1
Hyundai Motor bldg., Hyundai Mnsoft, Seoul, 04365, Korea1
School of Electronics and Computer Science, University of Southampton, UK. jnc@ecs.soton.ac.uk1
Department of Electrical and Computer Engineering, North Dakota State University, Fargo, 58158, USA1
History of Art, University of California, Berkeley, U.S.A.1
Computer Science, Duke University, U.S.A.1
University of Western Australia, School of EECE, Crawley, Australia1
Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China1
Peking University Shenzhen Graduate School, Shenzhen, China1
Machine Vision Group, University of Oulu, Oulu, Finland1
School of Electronic Engineering, Xidian University, Xi'an, P R China1
Fujifilm Software, San Jose, USA1
Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, P.R. China1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102,1
Enerji Sistemleri Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye1
Elektrik-Elektronik Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye1
Enformatik Bölümü Firat Üniversitesi Elaziğ, Türkiye1
Daimler Chrysler, Research and Technology, Bangalore, India1
Department of Telecommunication, B.M.S College of Engineering, Bangalore, India1
Subex Azure Limited, Bangalore, India1
Xi'an Jiaotong Univeristy Guangdong Province Shunde Research Insitute, Foshan, 528000, China1
School of Automation Guangdong University of Technology, Higher Education Mega Center, Guangzhou, China1
Elektrik-Elektronik Mühendisliği Dicle Üniversitesi Diyarbakir, Türkiye1
Midyat Meslek Yüksekokulu Mardin Artuklu Üniversitesi Mardin, Türkiye1
Inst. of Autom., Chinese Acad. of Sci., Beijing, China1
The University of Arizona, Tucson, USA1
Virginia Tech, Blacksburg, USA1
The University of Hong Kong, Hong Kong, Hong Kong1
Panasonic Singapore Laboratories Pte Ltd1
Politehnica University of Bucharest, Bucharest, Romania1
Nvidia Research1
Intel Belgium, Kontich, Belgium1
Concordia University, Montreal1
College of Command Information System, PLA University of Science and Technology, Nanjing 210000, China1
Department of Rail Transit Engineering, Chongqing Vocational College of Transportation, Chongqing, 402247, China1
National Laboratory of Pattern Recognition, Beijing, China1
The Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, 13902. phone: 607-777-5484; email: lijun@cs.binghamtonn.edu1
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, 13902.1
Department of Computer Science, State University of New York at Binghamton. Binghamton, NY, 13902; IBM at Endicott, NY.1
Université Laval1
Sun Yat-sen University1
COMSATS Institute of Information Technology, Islamabad1
Institute of Technology of Châteauroux, University of Orleans1
School of Electronic and Engineering, Xidian University, Xi'an, China1
City University of Hong Kong, Microsoft Research1
Graduate School of Informatics and Engineering, University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
National University of Kaohsiung, Kaohsiung, Taiwan1
Quang Binh University, Dong Hoi City, Vietnam1
School of Software Engineering, Beijing University of Technology, Beijing, China1
The UAVLARS Collaborative Innovation Center, Xuchang University, Xuchang, China1
School of Urban Planning and Landscaping, Xuchang University, Xuchang, China1
MacVis Research Lab, India1
St. Petersburg Department, Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics1
Department of Geography, National University of Singapore, Singapore1
Institute of Automation, Chinese Academy of Science, Beijing, China1
Coimbra, Portugal1
Linköping, Sweden1
Intelligence Technology Innovation Center, Washington, DC. king@biometrics.org1
University of North Carolina Wilmington. ricanekk@uncw.edu1
University of North Carolina Wilmington. albertm@uncw.edu1
University of North Carolina Wilmington. sethurama@uncw.edu1
University of North Carolina Wilmington. pattersone@uncw.edu1
Institut TELECOM, TELECOM Lille 1, LIFL (UMR 8022), Lille, France1
Computer Vision Laboratory, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland1
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3BX, UK1
School of computer, Beijing University of Posts and Telecommunications, Beijing, China1
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Malaysia1
Univ. of Electro-Commun., Tokyo, Japan1
Department of Computer Science, Banasthali Vidyapith, Banasthali, India1
Computer Science and Engineering Department, SP Memorial Institute of Technology, Kaushambi, India1
Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands1
School of Computing and Communications, Lancaster University, Lancaster, UK1
KAIST, Korea1
Robotever Inc., Korea1
KGIT, Korea1
Tampere University, Finland, Tampere, Finland1
Dept. of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, E-mail: kehtar@utdallas.edu1
Dept. of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, E-mail: markg@utdallas.edu1
Dept. of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, E-mail: mtr062000@utdallas.edu1
Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee , Milwaukee, WI, USA1
Department of Electrical Engineering, Amirkabir University of Technology , Tehran, Iran1
Multimedia Interaction and Understanding Lab, Hewlett-Packard Laboratories, Palo Alto, California, USA1
Department of Computer Science and Engineering and the Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA1
Department of Computer Science, Catholic University of Murcia, Murcia, Spain1
Department of Information Technology, Lappeenranta University of Technology, P.O.Box 20, FIN-53851 Lappeenranta, FINLAND, email: ilonen@lut.fi1
College of Electronics and Information Engineering, Sichuan University, Chengdu, China 6100641
Department of Electronics and Communication Engineering, P.P.G. Institute of Technology, Coimbatore, India1
Department of Electronics and Communication Engineering, Institute of Road and Transport Technology, Erode, India1
University Medical Center (CMU), Geneva1
Cogimage CRICM-UPMC/INSERM UMR-S975/CNRS UMR7225, Paris1
Information Science and Technologies Institute, National Research Council (ISTI-CNR), Pisa, Italy1
Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190, Beijing, China1
State Key Lab. of Software Engineering, Computer School, Wuhan University, 430072, China1
School of Computer Science and Technology, Wuhan University of Science and Technology, 947 Heping road, 430081, Wuhan, China1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. k.messer@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. j.kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. x.zou@surrey.ac.uk1
Philips Innovation Group, Philips Research1
Electronic Systems Group, Eindhoven University of Technology1
Electronic Systems Group, Eindhoven University of Technology, Eindhoven, The Netherlands1
Machine Intelligence Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata:700108, India1
University of Southern California and USC Institute for Creative Technologies1
University of Southern California and Max Planck Institute for Intelligent Systems1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh1
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville1
MPI for Informatics, Saarbrücken, Germany1
MPI for Intelligent Systems, Tübingen, Germany1
School of Computer Science, Xinjiang Normal University, No. 102 Xin Yi Rd, Urumqi, 8300541
Department of Electrical and Computer Engineering, Kettering University, Flint, Michigan, USA1
Artiricial Intelligence Key Laboratory of Sichuan Sichuan, University of Science and Engineering, Zigong, Sichuan, China1
Defence Research and Development Canada, Ottawa, ON, Canada1
Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center1
Zhejiang University, The State Key Laboratory of Industrial Control Technology1
Zhejiang Provincial Key Laboratory for Network Multimedia Technologies1
Alibaba Group, Zhejiang University, Hangzhou, China1
Human Research & Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, USA1
University of Twente, Human Media Interaction Group, Enschede, The Netherlands1
Department of Neurology, Faculty Hospital and Masaryk University, Jihlavska 20, Brno, 63900, Czech Republic1
Dept. of Electrical Engineering and Center for Automation Research, University of Maryland, College Park, MD 207421
Southeast University1
School of Informatics and Computing, Indiana University, Bloomington, IN, USA1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA1
Centre for Artificial and Machine Intelligence, Manipal University, Karnataka-576104, India1
Department of Information and Communication Technology, Manipal Institute of Technology, Manipal University, Karnataka-576104, India1
Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain1
The Department of Psychology, The Pennsylvania State University, 450 Moore Building, University Park, PA 16802, USA1
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089-0273. nevatia@usc.edu1
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089-0273. bowu@usc.edu1
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089-0273. zhang11@usc.edu1
Wuhan Institute of Technology, China1
University of Central Florida, USA1
China University of Geosciences, China1
Adobe Systems1
Faculty of Engineering and Resource Science, Akita University, 1-1 Tegata Gakuen, 010-8502, Japan1
Faculty of Information Technology, University of Central Punjab, Lahore, Pakistan1
Department of Computer Science, Abdul Wali Khan University, Mardan, Pakistan1
Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing, China1
Nanjing University of Posts and Telecommunications, Nanjing, China1
Center for Machine Vision and Signal Analysis, Department of Computer Science and Engineering, University of Oulu, Oulu, Finland1
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, People’s Republic of China1
School of Computer Science, Hunan University of Technology, Hunan, China1
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, China1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA1
College of Information Science and Technology, Agricultural University of Hebei, Hebei, China1
University of Michigan, Ann, Arbor, MI USA1
Université Technologique de Compiègne, 60200 Compiègne, France1
NetEase, Hangzhou, China1
Dept. Henan Chemical Industry Vocational College, Henan University of Technology, Zhengzhou, China1
THALES-TRT 91767 Palaiseau, France1
Baidu Research, USA1
Satellite Department, Agency for Science, Technology and Research, Singapore1
Visual Computing Department, Agency for Science Technology and Research, Singapore1
Fondazione Bruno Kessler, Trento, Italy and ICT Doctoral School, University of Trento, Italy1
School of Computer Science, University of KwaZulu-Natal, Durban, South Africa1
Department of Computer Science, City University of Hong Kong, Hong KongChina1
Department of Electrical and Electronic Engineering, University of Bristol, UK1
College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China1
Tianjin Bohai Fisheries Research Institute, Tianjin, China1
Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China1
Beihang University; LIRIS, Ecole Centrale de Lyon, Beijing, China1
Xerox Research Center India, India1
Palo Alto Research Center, Webster, NY1
Delft University of Technology and Sensor Technology, Netherlands Defense Academy1
University of Salerno, Via Ponte don Melillo, 84084 Fisciano, Salerno1
Department of Computer Science, Sapienza University of Rome, Via Salaria 113, 00198 Rome1
Faculty of Media Engineering and Technology, German University in Cairo, Cairo, Egypt1
Department of Electrical Engineering, India1
College of Computer and Control Engineering, Nankai University, Tianjin, China1
South China University of Technology, Guangdong, China1
Pattern Recognition and Machine Intelligence Lab., Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin-si, Republic of Korea1
Institute for Learning, Algorithms Montreal, Canada1
University of North Carolina, Montrea Charlotte, USA1
University of Chinese Academy of Sciences, and the CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China1
Simon Fraser University1
Knowledge Technology Group, Department of Informatics, University of Hamburg, Hamburg, Germany1
Eletrical and Computer Engineering Department, Drexel University, Philadelphia, USA1
University of California at Merced1
Department of Computer Science, Christian-Albrechts University, Kiel, Germany1
Engineering Lab on Intelligent Perception for Internet of Things, Peking University Shenzhen Graduate School, Shenzhen, China1
MOE Key Laboratory of Machine Perception, Peking University, Beijing, China1
Elektrik ve Elektronik Mühendisligi Bölümü, Hacettepe Üniversitesi, Beytepe, Ankara, Turkey1
Akıllı Sistemler Grubu, Karel Elektronik, Cyberpark, Bilkent, Ankara, Turkey1
Hasan Kalyoncu University, Gaziantep, Turkey1
Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates1
Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore1
Department of Radiology, University of North Carolina, Chapel Hill, USA1
Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic1
School of Engineering, Griffith University, 170 Kessels Road, Nathan, Brisbane, QLD 4111, Australia1
Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Iran1
Hefei Institute of Intelligent Machines, Chinese Academy of Sciences,1
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University,1
Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, College of Computer Science, Zhejiang University, Hangzhou, China1
Department of Electrical Engineering, Indian Institute of Science, C.V. Raman Avenue, Bangalore, KA 560-012, India1
College of Information Systems and Management, National University of Defense Technology, Changsha, China1
Intel Corporation, Kontich, Belgium1
Ghent University and Vrije Universiteit Brussel, Belgium1
Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 12, 612 00 Brno, Czech Republic1
Dept. of Computer & Information Science, University of Macau, Macau1
Taizhou Research Institute, Zhejiang University, Taizhou, China1
General Design Institute, Zhejiang Sci-Tech University, Hangzhou, China1
Dipartimento di Informatica, Sapienza Università di Roma, Via Salaria 113, 00198, Roma1
State Key Laboratory of Integrated Services Networks, Xidian University, Xian, China1
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China1
Hubei Key Laboratory of Intelligent Wireless Communications, South-central University for nationalities, Wuhan, China1
AU-KBC, Madras Institute of Technology, Anna University, Chennai, India1
Madras Institute of Technology, Anna University, Chennai, India1
Disney Research Pittsburgh/Robotics Institute, Carnegie Mellon University, Pittsburgh, PA1
School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada1
Department of Psychology at the University of Northern British Columbia1
Department of Psychology, University of Pittsburgh/Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 152601
Disney Research Pittsburgh1
ARM, Austin, Texas, United States of America1
Department of Electronics and Communication Engineering, JNTU College of Engineering, Hyderabad, India1
Department of Physics, JNTU College of Engineering, Kakinada, India1
Department of Computer Science and Engineering, JNTU College of Engineering, Kakinada, India1
NEC Laboratories America, Inc., Cupertino, CA, USA1
Facebook, Inc., Palo Alto, CA, USA1
Department of Telecommunications and Information Processing, Image Processing and Interpretation, UGent/iMinds, Ghent, Belgium1
Department of Information Technology, Jadavpur University, Kolkata, India1
School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia1
Comput. Sci. & Artificial Intelligence Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA1
School of Computer Science and Technology, Xiamen University, Xiamen, China1
Automation Department, Donghua University, Shanghai, China1
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China1
School of Biological Science and Medical Engineering, Beihang University, Beijing, China1
School of Information Technology, Deakin University, Burwood, Australia, 31251
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia. E-mail: bozidar.klimpak@gmail.com1
College of Physics and Electronics, Shandong Normal University, Jinan, China, 2500141
School of Control Science and Engineering, Shandong University, Jinan, China, 2500141
Dithen, London, U.K.1
Department of Microbiology and Immunology, Department of Computer Science and Engineering, Department of Biostatistics, University at Buffalo, The State University of New York, Buffalo, USA1
Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China1
New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, Buffalo, USA1
Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China1
Cogvis GmbH, Wiedner Hauptstrasse 17/3a, A-1040 Vienna1
Computer Vision Lab, Vienna University of Technology, Favoritenstr. 9/183-2, A-1040 Vienna1
Ecole Centrale de Lyon, LTDS UMR5513, F-69134, France1
Ecole Centrale de Lyon, ICJ UMR5208, F-69134, France1
Faculty of School of Electrical and Electronic Engineering, Nanyang Technological University, 50, Singapore1
Schoool of Electrical and Electronic Engineering, Nanyang Technological University, 50, Singapore1
Institute of Computing Technology, CAS, No.6 Kexueyuan South Road, Beijing, 100080, China1
Department of Computer Science, UNC-Charlotte, Charlotte, USA1
School of Information and Technology, Northwest University of China, Xi’an, China1
College of Metropolitan Transportation, Beijing University of Technology, Beijing, China1
Institute of Computing Technology, Chinese Academy of Sciences, Key Laboratory of Intelligent Information Processing, Beijing, China1
University of Gabes National Engineering School of Gabes, Tunisia1
Automatic Control and Systems Eng. Dept., University of Malaga, Superior Technical, Málaga, Spain1
Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain1
Instituto Superior Tecnico - Torre Norte, University of Lisboa, Lisboa, Portugal1
Electrical and Computer Engineering Dept, University of Porto, Porto, Portugal1
Info Syst Dept;Campus de Azurém, University of Minho, Guimarães, Portugal1
Department of Material Handling and Logistics Systems, Budapest University of Technology, Budapest, Hungary1
MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, -Budapest, Hungary1
Guangdong Polytechnic Normal University, Guangzhou, China1
College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China1
College of Information Science and Technology, Hainan University, Haikou, China1
State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China1
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100083, China1
University Iuav of Venice, Venezia, Italy1
Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC1
College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China1
Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China1
Department of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing, China1
Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China1
School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India1
Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy1
Department of Electrical and Computer Engineering, Ryerson University, Toronto , Canada1
Indraprastha Institute of Information Technology Delhi, New Delhi 1100201
Sensing and Control Technology Laboratory, Omron Corporation, Kyoto 619-0283, Japan1
Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong1
Universitat De Girona (UDG), Spain1
Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh1
Department of CSE, Prime University, Dhaka, Bangladesh1
Department of CIT, Islamic University of Technology, Gazipur, Bangladesh1
Alexandria High Institute for Engineering & Technology, Egypt1
Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal1
College of Science and Information, Qingdao Agricultural University, Qingdao, China1
Chinese University of Hong Kong1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
Biomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa1
DiCo, Università di Milano, Italy1
Istituto Chiossone, Italy1
Faculty of Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA1
Department of Computer Science and Engineering, SUNY Buffalo, NY, USA1
Department of Information System Service, Swiss German University, Tangerang, Indonesia1
Department of Computer Science, Pakuan University, Bogor, Indonesia1
Shanghai Research Institute of China Telecom. Corporation Limited1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: damminda.alahakoon@infotech.monash.edu.au1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: jeewanee.bamunusinghe@infotech.monash.edu.au1
School of Computer, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Technology, Nanjing Forestry University and Shandong University, Jinan, China1
Department of Language Studies, Nanjing Forestry University, Nanjing, China1
Department of Computer Science and Technology, Nanjing Forestry University, Nanjing, China1
The University of Manchester, Manchester, United Kingdom1
Nanjing Normal University & Nanjing University, Nanjing, China1
School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China1
School of Computer, Electronics and Information, Guangxi University, Guangxi, China1
University Carlos III Madrid, Spain and Queen Mary University of London, UK1
Dept. of CIT, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh1
Dept. of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin, Korea1
Siemens AG, Munich, Germany1
MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany1
Aoki Media Sensing Lab, Keio University, Tokyo, Japan1
CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
VGG, University of Oxford, Oxford, UK1
Computer Aided Medical Procedures, Technische Universität München, Munich, Germany1
Center for Signal and Image Processing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta1
Department of Information and Computer Science, Aalto University, Finland1
Department of the Computer Science and Technology, Tsinghua University, China1
ICSI, UC Berkeley, Berkeley, USA1
Willow Garage, Inc., 68 Willow Road, Menlo Park, CA 94025, USA1
Itseez, Korolenko 19b, Nizhny Novgorod, Russia1
Department of Economics, Boston University, Massachusetts, United States of America1
Data Science Program, The George Washington University, District of Columbia, United States of America1
Poverty Global Practice Group, The World Bank, Washington, District of Columbia, United States of America1
Institute of Computer Science, University of Tartu, Tartu, Estonia1
LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
Navier (UMR 8205), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
School of Computer Science, The University of Notthingham, Nottingham, U.K.1
College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China1
University of Canberra and Australian National University, Canberra, Australia1
Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy1
Faculty of Information Technology, Czech Technical University in Prague, Prague 6, Czech Republic1
Helsinki Institute for Information Technology HIIT, University of Helsinki, Helsinki, Finland1
University of A Coruna, Corunna, Spain1
Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands1
University of Trento , Povo - Trento, Italy1
Università Ca’ Foscari Venezia, Venezia Mestre, Italy1
Universidad de Alicante, Spain1
School of Computer Science, The University of Manchester, Manchester, UK1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, People’s Republic of China1
Department of Automation, University of Science and Technology of China, Hefei, People’s Republic of China1
PRISME Institute, ENSI de Bourges - University of Orléans, 88 Boulevard Lahitolle, 18020 BOURGES, France1
Jiangxi University of Finance and Economics, China1
Department of Electrical & Computer Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xfwang@ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn1
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom1
PSYEC, India1
TCE, India1
Vickramce, MDU, India1
State Key Laboratory of CAD & CG, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province 310058, China1
ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium1
Department of Computer Engineering, Boğaziçi University, 34342, Bebek, İstanbul, Turkey1
Center of Applied Mathematics, École Polytechnique, France1
Department of Electronic Systems, Aalborg University Copenhagen, Denmark1
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, CNRS, 69134, France1
Department of Electrical Engineering, College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China1
School of Computer Science and Information Systems, Birkbeck College, University of London, WC1E 7HX, U.K.1
Biometrics Research Centre, Hong Kong Polytechnic University, Hung Hom, Kowloon, China1
Nagaoka University of Technology, Nagaoka, Niigata 940-2188, Japan1
Department of Applied Physics, Eindhoven University of Technology, The Netherlands1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences1
Department of Computer and Information Science, Hunan University of Science and Engineering, Yongzhou, Hunan China, 4250061
School of Computer and Science Technology, Tianjin University, Tianjin, China1
School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China1
Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China1
The Johns Hopkins University, Baltimore, USA1
School of Computer Science and Software Engineering, The University of Western Australia, Perth, WA, Australia1
School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia1
Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy1
Snapchat Research, Venice, CA902911
Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA1
Security area everis Aerospace, Defense Security, Madrid, Spain1
Beauty Cosmetic Research Lab, Kao Corporation, Tokyo, Japan1
Department of Electrical and Computer Engineering, University of Miami, FL, USA1
Department of CS, University of Texas at San Antonio, 78249, USA1
Department of CSE, University at Buffalo (SUNY), NY 14260, USA1
University of Waterloo1
Faculty of Electrical Engineering, University of Ljubljana, EU, Slovenia1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India1
Department of Computer Science, Texas State University, San Marcos TX, 78666-4616, USA1
Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India1
Dept. of Electrical and Electronic Eng., The University of Tokushima, Japan1
Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany1
IRISA, Campus Universitaire de Beaulieu, Rennes, France1
Graduate School of Medicine, Osaka University, Osaka, Japan1
Graduate School of Engineering,, University of Tokyo, Tokyo, Japan1
Information and Communications Headquarters,, Nagoya University, Nagoya, Japan1
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. slobodan.ribaric@fer.hr1
Computer Engineering Department, Aljouf University, Skaka Aljouf, 72388, Saudi Arabia1
Department of Information Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502 Japan1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. byliao@cc.kuas.edu.tw1
Visual Information Analysis and Processing Research Center Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. zhemingl@yahoo.com1
Department of Electronic Engineering, National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China. junbaolihit@hotmail.com1
GRIFT Research Group, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, La Manouba, Tunisia1
Ruhr-Universität Bochum, Institut für Neuroinformatik, Germany1
Universität Paderborn, Fakultät für Elektrotechnik, Informatik und Mathematik, Germany1
Department of Computer Science and Information Engineering, Ching-Yun University, Taiwan1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China1
College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China1
IBM Almaden Research Center, San Jose, CA, USA1
Department of Computer Science, University of Freiburg, Freiburg, Germany1
School of Electrical Engineering, The City University of New York, U.S.A1
Politeknik Elektronika Negeri Surabaya, Indonesia1
REGIM: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), Sfax, Tunisia1
Dept. of Formative Sciences and Psychology, University of Firenze - Italy1
Department of Computer Science, Stevens Institute of Technology, Hoboken, USA1
School of IoT Engineering, Jiangnan University, Wuxi, China1
School of Computer Engineering, Jiangsu University of Technology, Changzhou, China1
Dept. of Software and Computer Engineering, Ajou University, Suwon, South Korea1
Department of Computer Science, Binghamton University, Binghamton, NY, USA1
Department of Electrical and Electronics Engineering, Anna University of Technology, Coimbatore, India1
Beijing Institute of Technology, School of Information and Electronics, Beijing, China1
Cornell University, Department- of Computer Science., USA1
Southeast Missouri State University, Department of Computer Science, USA1
University of Oregon, Computer& Information Science Department, USA1
ChongQing YuBei Experimental Primary School, Chongqing, China1
ChongQing College of Electronic Engineering, Chongqing, China1
Singapore University of Technology and Design & Massachusetts Institute of Technology, Singapore, Singapore1
Faculty of Science and Technology University of Macau, Macau, China, School of Applied mathematics, Beijing Normal University, Zhuhai, China1
Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong1
Department of Computer Engineering, Bogazici University, Bebek, Istanbul, Turkey1
Department of Computer Engineering, Istanbul University, Avcilar, Istanbul, Turkey1
Department of Computer Engineering, Bahcesehir University, Besiktas, Istanbul, Turkey1
School of Electronic and Information Engineering, Foshan University, Foshan, China1
Tulane University, USA1
Institute of Communications Engineering, National Tsing Hua University, Taiwan, R.O.C1
Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China1
Intel Labs Pittsburgh, Carnegie Mellon1
University of Central, Florida1
Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor1
Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur1
LEAR Team, INRIA Grenoble, Montbonnot, France1
Inteligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands1
CIEM-CONICET, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina1
School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
Department of Mechatronics Engineering, International Islamic University, Kuala Lumpur, Malaysia1
The faculty of the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
The Division of Future Vehicle, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
UMass Dartmouth, Dartmouth, MA, USA1
HTC Research, Beijing, China1
QCIS, University of Technology, Sydney, Australia1
IIIS, Tsinghua University, Beijing, China1
Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China1
Shenzhen Academy of Robotics, Shenzhen, Guangdong, 518057, China1
School of Computer Science and Technology, Shandong University, Shandong, China1
AGH University of Science and Technology, Adama Mickiewicza, Krakow, Poland1
Interuniversity Microelectronics Centre, Heverlee, Belgium1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Shaanxi Key Laboratory on Speech and Image Information Processing, Xi’an, China1
NPU-VUB Joint AVSP Lab, School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China1
Image processing center, Beihang University, Beijng, China1
Raytheon Missile Systems, Tucson, USA1
Facebook Inc., Palo Alto, CA, USA1
Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China1
University of International Business and Economics, Beijing, China1
Department of Electrical Engineering and Computer Science and Information Engineering, National Taiwan University, Taiwan1
School of Software Technology, Dalian University of Technology1
Department of Multimedia, Sungkyul University, Korea1
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China1
National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences(CAS), Beijing, China1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
Special machinery research institute, Beijing, China1
National Key Laboratory for Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China1
National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, Xuzhou, China1
Internet of Things Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China1
Dept. of Electrical and Computer Engineering, University of Calgary, AB, Canada1
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA1
Department of Electrical and Computer Engineering & CyLab, Carnegie Mellon University, Pittsburgh, PA1
Accenture Technology Labs, Chicago, IL, USA1
Kakao Brain, Seongnam, South Korea1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL.1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: P.P.Kuo@ed.ac.uk1
University of North Carolina at Wilmington, USA1
UNCW, USA1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
Development Center, OMRON Social Solutions Co., LTD., Kyoto 619-0283, Japan1
Research School of Computer Science, The Australian National University, Canberra, ACT 0200, Australia1
INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France1
Image Processing Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Faculty of Electronics, Wrocław University of Science and Technology, 50 370 Wrocław, Wyb. Wyspianskiego 27, Poland1
Multi-Modal Biometrics Lab, Institute for Infocomm Research, Republic of Singapore. wyyau@i2r.a-star.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. hw@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. nliu@pmail.ntu.edu.sg1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
School of Electrical Science and Engineering, National University of Defense Technology, Changsha, China1
Beijing Institute of Tracking and Telecommunications Technology, Beijing, China1
Department of Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK1
Sun Yat-Sen University, Guangzhou, Singapore1
Laboratory of Language Technology, Tallinn University of Technology, Estonia1
Applied Mathematics, N.C. A&T State University, NC, United States1
Statistics and Mathematics, University of Florida, FL, United States1
Computer Science, Yale University, CT, United States1
Mathematical Decision Sciences, UNC Chapel Hill, NC, United States1
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg1
University of East Anglia, Norwich, United Kingdom1
Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia1
Washington University, School of Medicine St. Louis, MO, USA1
Johns Hopkins Hospital, Baltimore, MD, USA1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China1
School of Computer Science and Technology, Nanjing University of Science of Science and Technology, Nanjing, China1
Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea1
Urban Robotics Lab., Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Sichuan University West China Hospital of Stomatology, Chengdu, China1
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China1
University of Electronic Science and Technology of China, Chendu, China1
College of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China1
Computer Science and Artificial Intelligence, MIT, Cambridge, MA1
Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia1
ETH Zurich, Switzerland and KU Leuven, Belgium1
Università di Firenze, Firenze, Italy1
TELECOM Lille1/LIFL, Villeneuve d'Ascq, France1
Università di Modena e Reggio Emilia, Modena, Italy1
University of Glasgow, Glasgow, United Kingdom1
MIT, Media Lab,, MA, USA1
Imperial College London , London, United Kingdom1
Microsoft Research, USA1
Aix Marseille Univ, CNRS, LIF, Marseille, France1
Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China1
Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China1
Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris1
INRIA/Ecole Normale Supérieure, Paris1
Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China1
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, China1
Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China1
Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China1
Department of Electrical and Electronic Engineering, University of Cagliari, Italy1
Department of Computer Engineering, Istanbul University, Istanbul, Turkey1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand1
Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand1
Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China1
Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China1
Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China1
Institute of Electronics, Chinese Academy of Sciences1
Institute of Computer Science and Technology, Peking university, Beijing, China1
Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin1
Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
Sapienza University of Rome, Via Salaria 113, 00198, Rome, Italy1
Shenzhen Polytechnic, Shenzhen, P. R. China1
School of Rail Transportation, Soochow University, Suzhou, China1
Department of Computer Engineering and IT, Amirkabir University of Technology, Tehran, Iran1
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
China Key System & Integrated Circuit Co. Ltd1
191
181
171
161
151
MICA International Research Institute (HUST - CNRS/UMI2954 - Grenoble INP), Hanoi University of Science and Technology, Vietnam1
FX Palo Alto Laboratory1
Guilin University of Technology, Guilin, Guangxi1
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing1
Azure Storage, Microsoft, Seattle, WA, USA1
Queen Mary University of London, United Kingdom1
Yamaha Motor Co., Ltd., Japan1
Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany1
École Normale Supérieure / PSL Research University, Paris, France1
Xi’an Jiaotong University, Xi’an, People’s Republic of China1
Department of Psychology, National University of Singapore, Singapore1
Department of Psychology, Southern Utah University, Cedar City, UT1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK1
Queen Mary, University of London, Mile End Rd, London, E1 4NS, UK1
University of Maryland College Park, MD 20742 USA1
National Institute of Standards and Technology Gaithersburg, MD 20899 USA1
University of Maryland, College Park, MD 20742 USA1
Mepco Schlenk Engineering College, Sivakasi, India1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Astellas Research Institute of America, IL, USA1
Tianjin Key Lab of Cognition Computing and Applications, Tianjin University, Tianjin, China1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100731
University of Houston, TX1
Corresponding Author B, Wayne State University, Detroit, Michigan, USA1
THALES Services - 91767 Palaiseau, France1
I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France1
Institut Universitaire de France (IUF), Paris, France1
Université de Toulon, La Garde, France1
Aix-Marseille Université, Marseille, France1
Department of Computer Engineering, Chiang Mai University1
Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China1
Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China1
Complex Lab, University of Electronic Science and Technology of China, Chengdu, China1
Lecturer of Computer Science at Higher Education Department, Khyber Pakhtunkhwa, Pakistan1
Technische Universität München / Imperial College London, Munich / London, England UK1
University of Geneva, Geneva, Switzerland1
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning Province, China. linhui_signal_dip@hotmail.com1
ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA1
Volvo Car Corporation, SE-405 31 Göteborg, Sweden1
Smart Eye AB, SE-413 27 Göteborg, Sweden1
Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile end Campus, UK, E14NS1
Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany1
Department of Informatics, University of Oslo, P.O. Box 1080 Blindern, 0316 Oslo, Norway1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology(ICT), Beijing, China1
Department of Electrical and Computer EngineeringJohns Hopkins University1
The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
School of Economics and Management, Tongji University, Siping Road, Shanghai, P.R. China1
Centre for Development of Advance Computing IIPC-Building, NIT Silchar Campus Silchar, India1
School of Big Data & Software Engineering, Chongqing University, Chongqing, China1
Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,1
Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R11
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia1
School of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing Xiaozhuang University, Nanjing, China1
Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia1
Eindhoven University of Technology, P.O. Box 513, 5600 MB, NL1
ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL1
Core Technology Center, Omron Corporation, Kyoto, Japan1
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA1
General Electric Global Research, 1 Research Circle, Niskayuna, NY1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt1
DISI-Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Department of Electronic Devices, Circuits, and Architectures, Faculty of Electronics, Telecommunication and Information Technology, University “Politehnica” of Bucharest, Romania1
Beijing University of Posts and Telecommunications/The University of Western Ontario1
School of Computer Science and Information System, Pace University, New York USA1
School of Computer Science and Information Systems, Pace University, New York, USA1
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Amazon Research, Berlin, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Nanyang Avenue, Singapore1
Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India1
IKERBASQUE, Basque Foundation for Science, and the University of the Basque Country, San Sebastian, Spain1
Computer Vision Center, Edifici “O” - Campus UAB, 08193 Bellaterra (Barcelona), Spain1
Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria1
Laboratoire Informatique Image Interaction (L3i), University of La Rochelle, France1
ICTEAM Institute, Université Catholique de Louvain, Belgium1
ICTEAM Institute, Université Catholique de Louvain, Belgium and Department of Information and Communication Engineering, Institute of Technology of Cambodia, Cambodia1
Biometric Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea. khsohn@yonsei.ac.kr1
Biometric Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea. k9doli@yonsei.ac.kr1
Neusoft Corporation, Shenyang 110179, China1
University of California, San Diego, La Jolla, USA1
SET Media Inc, San Francisco, USA1
School of Engineering, Hong Kong University of Science and Technology, Hong Kong1
HiScene Information Technology Co., Ltd, Pudong, China1
Walmart Labs, Bengaluru, India1
Cisco Systems Inc., Bengaluru, India1
Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain1
Multimedia Technologies Division, Aragon Institute of Technology, Zaragoza, Spain1
Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA1
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitesi, İstanbul, hatice. cinar@boun.edu.tr1
School of Geodesy and Geometry, Wuhan University, Hubei, China1
Faculty of Information Engineering, China University of Geosciences, Wuhan, China1
University of “Petru Maior”/Mathematics-Computer Science, Tîrgu-Mureş, Romania1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
Department of Psychiatry, University of Minnesota, Minneapolis, USA1
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA1
Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA1
GE Global Research, San Ramon, CA, USA1
University of Abertay, Dundee, UK1
China University of Geosciences Wuhan, China1
Departamento de Automação, Goiano Federal Institute (IFGoiano), Trindade, Brazil1
Departamento Acadêmico, Federal Institute of Goiás (IFG), Senador Canedo, Brazil1
China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland1
Facebook Research, New York, New York United States1
Courant Institute of Mathematical Science, New York University, New York, New York United States1
Institute of Computational Science, Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland1
The Faculty of ICT-Mahidol University, Thailand1
School of the Gifted Young, University of Science and Technology of China, Hefei, Anhui, 230026, P.R. China1
Department of Computer Science, University of Liverpool, UK1
Audi AG, Germany1
De Montfort University, Leicester, UK1
Department of Electrical Engineering, Federal University of Paraná, Curitiba, PR, Brazil, 81531-9701
Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany1
Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University1
LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France1
Shanghai Jitotong University, Shanghai, China1
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
INRIA Grenoble, Grenoble, France1
Graduate School of Engineering Science, Department of Systems Innovation, Osaka University, Toyonaka, Japan1
Center for Cognitive Ubiquitous Computing, Arizona State University, Tempe, USA1
University of Science and Technology of China, Hefei,Anhui,China1
MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA1
MIRACL Laboratory, Higher Institute of Management Gabes, Sfax university - Gabes university, Tunisia1
National Engineering Laboratory for Video Technology and the Key Laboratory of Machine Perception (MoE), School of Electrical Engineering and Computer Science, Peking University, Beijing, China1
Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, USA1
College of Information and Technology, Incheon National University, Incheon, Korea1
School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria1
Transportation Active Safety Institute (TASI), Indiana University-Purdue University Indianapolis, 46202 USA1
Department of Computer Science, Indiana University-Purdue University Indianapolis, 46202, USA1
Tianjin University & University of South Carolina, Tianjin, China1
Turkcell İletişim Hizmetleri A.Ş., Ankara, Türkiye1
Insititute of Automation, Chinese Academy of Sciences (CAS), Beijing, China1
Intelligent Autonomous Systems Group, Technische Universität München, Garching, Germany1
École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland1
Itseez Incorporated, Nizhny Novgorod, Russia1
Department of Computer Science, Royal Holloway, University of London, Surrey, UK1
State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1203, Palo Alto, CA 94304, USA1
Department of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Korea1
Department of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
Facebook, Mountain View, USA1
Microsoft, Bellevue, WA, USA1
M5001, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong1
Graz University of Technology, Institute for Computer Graphics and Vision, Inffeldgasse 16/II, 8010 Graz, Austria. pmroth@icg.tu-graz.ac.at1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan1
Multi Media laboratory, Toshiba Corporation, 1, Komukai-Toshiba-cho Saiwai-Ku, Kawasaki, Kanagawa Japan1
Computer Science and Information Technology, RMIT University, Melbourne, 3001, Australia1
Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark1
College of Computer Science, Nanjing University of Science and Technology, Nanjing, 210094, China1
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, 430079, China1
University of Arizona1
BIWI, ETH Zurich Zurich, Switzerland1
Department of Information Technology, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India1
Key Lab of Machine Learning and Computational Intelligence, College of Mathematics and Computer Science, Hebei University, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Birmingham City University, Birmingham, UK1
Inst. of Computational Sci., ETH Zurich, Switzerland1
Department of Computer and Information Sciences, University of Alabama at Birmingham, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Department of Communication Engineering, Shanghai University, Shanghai, China1
Utechzone Co. Ltd., New Taipei City, Taiwan 2351
Faculty of Computing and Informatics, Multimedia University, Cyberjaya 61000, Selangor, Malaysia1
IHCC Group, RSCS, CECS, Australian National University, Australia1
Vision & Sensing Group, HCC Lab, ESTeM University of Canberra, Australia1
Department of Electrical Engineering, University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea1
Electrical and Computer Engineering, 450 Clyde Building, Brigham Young University, Provo, UT 84602, USA1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
Institute of Systems Science, National University of Singapore, Singapore, Singapore1
Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning Province, China. wgq2211@163.com1
Technion, Israel1
IBM Research China, China1
University of Udine, Department of Mathematics and Computer Science, Via delle Scienze 206, 33100 Udine, Italy1
VISIONe lab, University/Industry joint laboratory, via Cjavecis 3, 33100, Udine, Italy1
Faculty of Media Engineering & Technology German University in Cairo, Egypt1
AvidBeam1
Faculty of Media Engineering & Technology, German University in Cairo, Egypt1
Media Laboratory, Huawei Technologies Co., Ltd, Shenzhen, China1
Department of Computer Science, University of Southern California1
Department of Psychology, University of Florence, Italy1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Vesalis company, Parc Technologique de la Pardieu, 10 rue Evariste Galois, 63000 Clermont-Ferrand, France1
University of Palermo, Palermo, Italy1
Institute of Nationality Cultural Information and Technology, Dalian Nationalities University, Dalian, Liaoning Province, China1
UMR 5141, CNRS, Telecom ParisTech, France1
Department of Computer Science, University of Rochester1
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
Dalian Key Laboratory of Digital Technology for National Culture, Dalian Minzu University, Dalian, China1
Institute of Systems Science, Northeastern University, Shenyang, China1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. mps04@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. sidnei@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. ccqs03@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. luciano@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. olga@inf.ufpr.br1
Computer Science and Engineering Department, Thapar University, Patiala, India1
Academy of Mathematics and Systems Science, Chinese Academy of Science, Institute of Applied Mathematics, Beijing, China1
SINOPEC Petroleum Exploration and Production Research Institute, Beijing 100083, China1
Dept. of Computing, Curtin University, Perth WA, 6102, Australia1
School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao 266033 China1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
CNRS - IRIT, Toulouse, France1
Guangxi University, Electronics and Information, School of Computer1
Faculty of Science and Technology, University of Macau, Macau, 999078, China1
Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, USA1
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, China1
The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China1
Department of Education and Information, Guizhou Finance school, Guiyang, China1
Image Formation and Processing Group, Beckman Institute, University of Illinois Urbana–Champaign, Urbana, IL, USA1
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia1
University of Arizona, Tucson, USA1
Faculty of Medicine, University of British Columbia, Vancouver, Canada1
Laboratoire d'InfoRmatique en Image et Systémes d'information Lyon Central School, University of Lyon, France: 69134 Ecully1
Research Group on Intelligent Machines, University of Sfax, Sfax Engineering School: POB 3038, Tunisia1
Biometric Research Centre, Department of Computing, Hong Kong Polytechnic University, Hong Kong, China1
Department of Social and Decision Sciences, Carnigie Mellon University, Pittsburgh, PA 15224, USA1
VARPA Group, University of A Coruña, A Coruña, Spain1
Bilişim Teknolojileri Enstitüsü, Gebze Teknik Üniversitesi, Gebze, Türkiye1
Information Science Institute, University of Southern California, Los Angeles, USA1
Department of Computer Science and Engineering, Sogang University, Seoul, Korea1
Central Research Laboratory, Bharat Electronics Limited, Bangalore-560 013, India. as_santosh@yahoo.com1
Discipline of Business Analytics, The University of Sydney Business School, University of Sydney, Camperdown, NSW, Australia1
Philips Research, Bethesda, MD, USA1
Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China1
National Engineering Research, Center for E-Learning, Central China, Normal University, Wuhan, China1
School of Interactive, Computing, Georgia Institute of Technology1
School of Electrical and Computer Engineering, Georgia Institute of Technology1
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain1
Graduate School of the Chinese Academy of Sciences, Beijing, China1
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China1
Microsoft Live Labs Research, China1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn1
De Montfort University, Leicester, UK, LE1 9BH, +44 (0)116 20784901
Hewlett-Packard Laboratories, India1
Department of Psychology, Emory University, Atlanta, USA1
Division of Psychobiology, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Center for Behavioral Neuroscience, Atlanta, USA1
Division of Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Department of Psychology, University of Massachusetts-Amherst, Amherst, USA1
Bio-computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. E-MAIL: laterfall2@yahoo.com.cn, sun_bin@hit.edu.cn1
Bio-computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. E-MAIL: laterfall2@yahoo.com.cn1
LSEC and Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing, China1
College of Mathematics & Information Science, Wenzhou University, Wenzhou, China1
UMR 5141, LTCI, Telecom ParisTech, France1
Institute of Mathematics of the Romanian Academy, Bucharest, Romania1
Department of Mathematics, Lund University, Lund, Sweden1
School of Mechanical Design and Automation Engineering, Seoul National University of Technology, 139-143, Seoul, Korea1
School of Electrical Eng., ASRI, Seoul National University, 151-600, Seoul, Korea1
Samsung Electronics Co. Ltd., Suwon, Korea1
Graduate Program on Electrical Engineering, Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Graduate Program on Electrical Engineering, University of Passo Fundo, Passo Fundo, Brazil1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China1
Jaguar Land Rover Research, Coventry, UK1
Department of Computer Science, Stanford University, 353 Serra Mall, Gates Building, Stanford1
NEC Laboratories1
Institute of Infocomm Research, A-STAR, Singapore1
Department of Mechanical Engineering, Madurai, Tamilnadu, India1
Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Key Lab of ICSP of Ministry of Education, Anhui University, Hefei, China1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, China1
Office of Naval Research, Computer Science Division, Arlington, VA 222171
Department of Electrical and Computer Engineering and the Department of Mathematics, National University of Singapore, Singapore1
Department of Electrical and Computer Engineering, Department of Mathematics, Department of Industrial and Systems Engineering, National University of Singapore, Singapore1
School of Electronics and Information, Northwestern Polytechnical University, Xian, China1
Department of Computer Science, University of North Carolina, Charlotte, USA1
Department of System Eng. and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Computer Science, Ryerson University, 245 Church Street, Toronto, Ontario Canada1
Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France1
ICPT and MIPT (SU), Moscow, Russia1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
School of Mathematics and Information Technology, Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China1
Univ. Bordeaux, Bordeaux IMS Talence, France1
Univ. La Rochelle, MIA La Rochelle, France1
Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, 400044, China1
CNRS, École Centrale de Lyon, University of Lyon, Lyon, France1
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, 852811
Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad, India1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA1
Nagoya Institute of Technology, Showa-ku, Japan1
NICTA Queensland Research Laboratory, Brisbane, Australia1
Imperial College, London, UK1
Science and Technology on Multi-spectral Information Processing Laboratory, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, People’s Republic of China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, People’s Republic of China1
Department of Animal Science and Technology, Konkuk University, Seoul, South Korea1
Centre of Excellence for Research in Computational Intelligence and Applications, School of Computer Science, University of Birmingham, Birmingham, U.K.1
Research & Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai, 201804, P.R. China1
Optronic Sensor Systems, Council for Scientific and Industrial Research, Pretoria, South Africa1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, 410073, P.R.China1
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, 410073, P.R.China1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
Electronic Microtechnology (CSEM), Neuchâtel1
IDIAP Research Institute, Martigny and École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne and Electronic Microtechnology (CSEM), Neuchâtel1
Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 02792, Korea1
School of Engineering, Hokkaido University, N-13, W-8, Kita-ku, Sapporo, Hokkaido, 060-8628, Japan1
Bilgisayar Mühendisliği Bölümü, İTÜ, Turkey1
Computer Engineering Dept., Bogazici University, Istanbul, Turkey. akarun@boun.edu.tr1
Philips Research, Eindhoven, The Netherlands, berk.gokberk@philips.com1
Computer Engineering Dept., Bogazici University, Istanbul, Turkey. nese.alyuz@boun.edu.tr1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
ECSE Department, Rensselaer Polytechnic Institute1
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK1
Advanced Technologies Application Center, Playa, Cuba1
Orange—France Telecom Division R&D—TECH/IRIS, Cesson Sévigné Cedex, France1
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, MA 01609-2280, USA1
DICGIM, University of Palermo, Palermo, Italy1
Department of Computer Science, Innopolis University, Kazan, Russia1
Center for Telematics and Information Technology, University of Twente, Enschede, Netherlands1
Department of Computer Science, University of Science & Technology, Bannu, Pakistan1
Department of Biomedical Engineering, Kyung Hee University, Suwon, Korea1
Department of Computer Engineering, Kyung Hee University, Suwon, Korea1
Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Korea1
Grupo de Investigación GREC, Universitat Politècnica de Catalunya, Barcelona, España1
Universitat de Barcelona, Barcelona, España1
University of Illinois at Urbana-Champaign, Urbana, IL, Microsoft Research Asia, Beijing, China1
Research Center for Learning Science, Southeast University, China1
School of Computer Science and Engineering, Tianjin University of Technology, China1
AI Institute, Qihoo/360 Company, Beijing, China1
Intelligent Media Technique Research Center, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, P.R. China1
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, P.R. China1
AI Institute of Qihoo/360 Company, Beijing, P.R. China1
Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany1
Department of Cognitive Sciences, Xiamen University, Fujian Province, 361005, China1
School of Computer Science and Technologym Huazhong University of Science and Technology, China1
Huazhong University of Science and Technology, China, Helwan University, Cairo, Egypt1
Huazhong University of Science and Technology, China, Zagazig University, Zagazig, Egypt1
Inria, Rennes, France1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, M5S 3GA, Canada1
New Mexico State University, Klipsch School of Electrical Engineering, Las Cruces, NM 880031
University of Greenwich, London, United Kingdom1
Electronic Engineering, College of Engineering, Hanyang University, Seoul, South Korea1
Roche Pharmaceutical Research and Early Development; Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche Ltd., Basel, Switzerland1
Department of Psychological and Brain Sciences, Boston University, Boston, USA1
Department of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China1
DAIS, Università Ca’ Foscari, Venice, Italy1
TCS Research, Tata Consultancy Services, New Delhi, India1
Aubiere Cedex, France1
Białystok University of Technology, Białystok, Poland1
Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia1
Faculty of Natural Sciences, University of Tampere, Tampere, Finland1
LITIS, Universite de Rouen - INSA de Rouen, Rouen, FR1
Department of Computer Engineering, Turgut Özal University, Ankara, Turkey1
Information Strategy Office, Nagoya University, Aichi, Japan1
Australian Centre for Robotic Vision (ACRV), Brisbane, Qld., Australia1
University of Illinois at Chicago, Chicago, IL1
Mathematics and Computer Science Department, , Grambling State University, Grambling, LA, USA1
Center of Information Development and Management, Hefei University, Hefei 230061, China1
Electronics Engineering Department, National Chiao Tung University, Hsinchu, Taiwan1
Research Center of Robotics and Micro System, Soochow University, Suzhou, China1
Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France1
Department of Psychology, The Ohio State University, USA1
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
Department of Electrical and Electronics Engineering, Laboratory of Machine Learning and Computer Vision, Eskisehir Osmangazi University, Eskisehir, Turkey1
Department of Computer Engineering and Information and Technology, Amirkabir University of Technology, Tehran, Hafez 424, Iran1
School of Electronics and Information, Northwestern Polytechnical University, Xián, Shaanxi, China1
CDTA, Algeria1
Department of Computer Science and Engineering, Incheon National University, South Korea1
Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland1
Faculty of Physics and Applied Informatics, University of Lodz, Lodz, Poland1
Massachusettes Institute of Technology Media Lab, Cambridge, MA, USA1
Jiangsu Automation Research Institute, Lianyungang, China1
COMSATS Institute of Information Technology, Abbottabad, Pakistan1
In-Q-Tel, Menlo Park, CA USA1
Multimedia Interaction and Understanding Lab, HP Labs, Palo Alto, U.S.A.1
Equipment Development and Application Research Center, Air Force Engineering University, Xi’an, China1
Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China1
Graduate School of Engineering, Mie university, Mie, Japan1
Department of Transportation Engineering, Beijing Institute of Technolgoy, 100081, China1
Instituto de Investigaciones en Ingeniería Eléctrica (IIIE), Universidad Nacional del Sur-CONICET. Av. Alem 1254, Bahía Blanca CP 8000, Argentina1
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China1
Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China1
School of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China1
National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen, People’s Republic of China1
Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Fraunhoferstrasse 1, Karlsruhe, Germany1
School of Engineering and Design, Brunel University, London, UK1
School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China1
Indian Institute of Technology, Rajasthan, India1
Indian Institute of Technology, Kanpur, India1
École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France1
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China1
School of Computer Engineering, The Nanyang Technological University, Singapore1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA1
The Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Computer Science Department, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K.1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Korea1
Dept. Of Information and Communication Engineering, Dongguk University, Gyeongbuk, Korea1
School of Electronics Engineering, Kyungpook National University, Taegu, Korea1
The Pennsylvania State University, University Park, PA 16802, USA1
Ecole Centrale Paris, Antony, France1
CEA, Gif-sur-Yvettes, France1
CEA & Ecole Centrale Paris, Gif-sur-Yvettes, France1
Institute for Computational and Mathematical Engineering, Stanford University1
Computer Science and Artificial Intelligence Department, University of Alicante, Spain1
School of computer Science and Engineering, Nanjing University of Science and Technology, China1
Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China1
Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xian 710072, Shaanxi, China1
Dept of Electrical and Computer Engineering, University of South Alabama, AL, USA1
Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France1
Laboratoire Hubert Curien, UMR CNRS 5516, Université de Lyon, Université Jean Monnet de Saint-Etienne, Saint-Etienne, France1
LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France1
Computer Laboratory, University of Cambridge, Cambridge, U.K.1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, P. R. China1
Applied Network Technology (ANT), Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand1
Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand1
Guangxi Cooperative Innovation Center of cloud computing and Big Data, Guilin University of Electronic Technology, Guilin, 541004, China1
College of Mathematics and Computer Science, Hebei University, Baoding, China1
Affectiva1
Yahoo! Research1
Yahoo Research, Haifa, Israel1
Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel1
Intelligent Robotics Research Center Korea Institute of Science and Technology (KIST) Hawolgok-dong 39-1, Sungbuk-ku, Seoul 136-791, Korea dungding@kist.re.kr1
Department of Electrical and Computer Engineering, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 117941
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Qualcomm Technologies, Inc., San Diego, United States1
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China1
School of Information Science and Technology, Southwest Jiaotong University, Chengdou, P.R. China1
Electronic Telecommunication Division, Ho Chi Minh City University of Industry, Ho Chi Minh City, Vietnam1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
Department of Informatics and Telecommunications, National and Kapodestrian University of Athens, Athens, Greece1
School of Surveying and Geo-informatics, Tongji University, Shanghai, China1
IT Department, Faculty of Engineering, University of Mons, Belgium1
Fotonation LTD, Galway, Ireland1
Zhejiang Huayun, Zhejiang, China1
Google, Inc, Mountain View, USA1
NEC Laboratories America, Cupertino, USA1
Rutgers University, Piscataway, NJ, USA1
Hefei University of Technology, Chinese Academy of Sciences, & University of Chinese Academy of Sciences, Beijing, China1
Hefei University of Technology, HeFei, China1
Institute of Engineering & Technology, Devi AhilyaVishwavidyalaya, Indore(M.P.)1
Department of Information Technology, Devi AhilyaVishwavidyalaya, Indore(M.P.)1
Hohai University, No. 1 Xikang Road, Nanjing, Jiangsu Province, China1
Institute of Intelligent Information Processing, Xidian University, Xi'an, China1
Aalto University School of Science1
Aalto University School of Science and Tampere University of Technology1
Max Planck Institute of Informatics and Saarland University1
Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico1
Qualcomm, Santa Clara, CA1
UNIADEX, Ltd., Tokyo, Japan1
Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing 100094, P.R. China1
The Testing Center, The Third Research Institute of the Ministry of Public Security, Shanghai, China1
Department of Electrical and Electronics Engineering, Center for Image Analysis (OGAM) Middle East Technical University, Ankara, Turkey1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Sapienza Univertsity of Rome1
Fudan University, Shanghai , China1
Redwood Systems, Fremont, CA,USA.1
University of Washington, Seattle, WA, USA.1
Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Rakuten, Inc., Japan1
iRobot Corporation, 10 Greycoat Place, Victoria, London, UK1
School of Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, China1
INRS-EMT, Montreal, Canada1
Univ. of Sydney, NSW, Australia1
Department of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, U.K.1
Google Inc., New York City, NY, USA1
Computer Vision Research Group, Orand S.A. Estado 360 of 702, Santiago, Chile1
University Malaysia Perlis, Kangar, Malaysia1
Universidad de Las Palmas de Gran Canaria, Spain1
Purdue University1
Guangdong University of Technology1
University of Macau1
Guangdong University of Technology and City University of Hong Kong1
LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France1
Department of Computer Science, University of Adelaide, Australia1
Department of Mathematics and Physics, Lappeenranta University of Technology, Lappeenranta, Finland1
Department of Computer and Information Sciences, Temple University, United States of America1
Department of Computer Science, UNC Charlotte, United States of America1
School of Computer Science, Institute for Research in Fundamental Sciences (IPM)1
College of Mathematics & Computer Science, Wuhan Textile University, Wuhan, China1
The Green Building Materials and Manufacturing Engineering Research Center of Ministry of Education, Wuhan University of Technology, Wuhan, China1
Siemens Corporate Research, Plainsboro, USA1
University of Cambridge, Cambridge CB2 1TQ, UK1
Gipsa-lab, Grenoble INP, France1
Vesalis, Clermont Ferrand, France1
CMM, Mines Paristech, Fontainebleau, France1
Computer Application Research Center, Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China1
Institute of Computing Technology, Chinese Academy of Science, Beijing1
Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China1
Centre for Artificial Intelligence, School of Software, University of Technology Sydney Ultimo, NSW, Australia1
Zhixing College of HuBei University, Wuhan, China1
Department of Statistical Science, University College London, London, U.K.1
Thales Optronics, Glasgow1
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information Science and Technology, Nanjing, China1
School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Honda Research Institute USA, Inc., 425 National Avenue, Mountain View, CA-94043, USA1
ENSTA ParisTech, 828 Blvd des Marchaux, 91762 Palaiseau, France1
Interactive & Digital Media Institute, National University of Singapore, Singapore1
Department of Mechatronic Engineering, Fırat University, Elazığ, Turkey1
Institute of Automation, Chinese Academy of Sciences & Boomhope Information and Technology Co., Ltd, Beijing, China1
University of Trento , Povo - Trento, Italy1
Zhejiang University, Zhejiang, China1
China Electronics Technology Group Corporation, Beijing, China1
Vicomtech-IK4, San Sebastián, Spain1
Department of Anthropology, University College London, London, UK1
PRISM, Arizona State University, Tempe, USA1
Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China1
Louisiana State University, LA, USA1
Dermalog Identification Systems GmbH, Hamburg, Germany1
Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria1
Department of Information Technology, SSN College of Engineering Chennai, India1
Control System Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, MB, The Netherlands1
School of Computer Science and Technology, Wuhan University of Science and Technology, China1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
SEAS, Harvard University, Cambridge, Massachusetts 02138 United States1
AT&T Labs-Research, Middletown, New Jersey 07748 United States1
Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742 United States1
Fraunhofer Institute for Telecommunications - Heinrich-Hertz Institute1
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, Shenzhen, ChinaChina1
Mobile Video Networking Technology Research Center, Shenzhen Graduate School, Peking University, Shenzhen, China1
Center for Autonomous Systems , KTH Royal Institute of Technology, Sweden1
Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France1
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran1
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
Universidad Rey Juan Carlos, Móstoles, Spain1
School of Computer Science, Universidad Rey Juan Carlos, Móstoles, Spain1
Università di Salerno, Dipartimento di Informatica, Fisciano, Italy1
Department of Electrical and Computer Engineering, The Ohio State University, OH, Columbus, 43210, USA1
School of Science and Technology, Meiji University, Kanagawa, Japan1
Bilgisayar Mühendisliği Bölümü, İstanbul Medeniyet Üniversitesi, Goztepe, Türkiye1
School of International Business Communications, Dongbei University of Finance & Economics, Dalian, China1
Department of Computer Science and Engineering, University of California, Riverside, USA1
UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies in the Faculty of Engineering and Information Technologies, University of Sydney, Darlington, Australia1
Lenovo Group Ltd, Beijing, China1
Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 376731
University of Applied Sciences Jena, Jena, Germany1
Department of Mechanical and Aerospace Engineering, Syracuse University, USA1
Northeastern University, School of Information Science and Engineering, Shenyang, People’s Republic of China1
Dept. of Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK1
College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China1
Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan1
Utrecht University, Utrecht, UNK, Netherlands1
University of California at Los Angles, USA1
University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1
AGV Systems Pvt. Ltd. Mumbai1
Viterbi School of Engineering, University of Southern California, Los Angeles, CA1
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye1
Jet Propulsion Laboratory, California Institute of Technology, USA1
Division of Networks and Distributed Systems, School of Computer Engineering, Nanyang Technological University, Singapore1
Engineering Laboratory on Intelligent Perception for Internet of Things, Shenzhen Graduate School, Peking University, Shenzhen, China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Ultimo, Australia1
Nanyang Technological University School of Computer Engineering1
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, India1
School of Mathematics, Shri Mata Vaishno Devi University, Katra, Jammu, India1
Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Department of Psychology, Neuroscience and Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, Canada L8S 4K11
University of Oxford, Oxfordshire, United Kingdom1
Google DeepMind1
Five AI, Cambridge, United Kingdom1
Shanghai Film Academy, Shanghai University, Shanghai, China1
Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai, China1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Kodak Alaris, Inc., Rochester, NY, USA1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
University of Zagreb, Croatia1
Fraunhofer Institute for Computer Graphics Research, Germany1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Madrid, Spain1
Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain1
Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia1
Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur, Malaysia1
Center for Comparative Medicine, University of California, Davis, California, U.S.A.1
Department of Computer Science, Stanford University, Stanford, California, U.S.A.1
Ningbo Institute of Technology, Zhejiang University, China1
Universidad Autonoma de Madrid, Madrid, Spain1
Fuzhou University, Fuzhou, China1
Metoak Technology, Beijing, China1
University of Hong Kong, Hong Kong1
Interfaculty Initiative in Information Studies, The University of Tokyo, and JST, PRESTO1
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Technology Section, Israel National Police, Jerusalem, Israel1
Department of Electro-Optics Engineering, Ben-Gurion University, Beer Sheva, Israel1
College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Graduate School of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
EY AI Lab, Palo Alto, USA1
University of New South Wales, Sydney, Australia1
Macquarie University, Sydney, Australia1
Biomedical Engineering Program, University of Manitoba, Winnipeg, Canada1
Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China1
New York University, Shanghai, China1
Rutgers, The State University of New Jersey, USA1
Sandvik Mining and Construction Oyj, Tampere, Finland1
University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany1
Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom1
School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand1
Kyushu Sangyo University, Fukuoka, Japan1
Monash University, Clayton, Australia1
Polytechnic University, Bari, Italy1
University of Minho, Braga, Portugal1
Covenant University, Canaanland, Nigeria1
University of Basilicata, Potenza, Italy1
University of Perugia, Perugia, Italy1
Shenzhen Center for Disease Control and Prevention, Shenzhen, China1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, University of Chinese Academy of Sciences, Beijing, China1
MBRDNA, Sunnyvale, US1
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China1
The State Grid HuBei Information and Telecommunication Company, Wuhan, China1
Key Lab of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Department of information, Hamburg University, Hamburg, Germany1
Center for Space Automation Technology and Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China1
Center for Space Automation Technology and Systems, Shenyang Institute of Automation, University of Chinese Academy of Sciences, Shenyang, China1
School of Electronic Information Engineering, Tianjin University, 300072, China1
School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, U.K.1
Department of Computer Science, University of Brasilia, Brasília, Brazil1
Department of Electronics Engineering, University of Brasilia, Brasília, Brazil1
School of Information Science and Technology, Northwest University1
London School of Economics, London1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India1
Department of Neurocognition, Maastricht University, Maastricht, The Netherlands1
Department of Psychonomics and Psychopharmacology, Utrecht University, Utrecht, The Netherlands1
Department of Child and Adolescent Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands1
Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki City, Japan1
School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China1
University of the Basque Country UPV/EHU, San Sebastian, Spain1
Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain1
College of Computer Science, Dalian University of Technology, Dalian, China1
University of Antwerp, Wilrijk, Belgium1
CSIRO ICT Centre, Sydney, Australia1
Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium1
DGA, Bagneux, France1
National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Cheng Shiu University, Kaohsiung, Taiwan1
Universit´a di Salerno, 84084 Fisciano1
Department of Computer Science, University of Texas at San Antonio, TX, USA. qitian@cs.utsa.edu1
Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com1
Department of Computer Science, University of Texas at San Antonio, TX, USA. lyijuan@cs.utsa.edu1
Université des Antilles et de la Guyane (UAG), France1
Institut des Systèmes intelligents et de Robotique, UPMC, France1
Military College of Signals. Rawalpindi, Pakistan1
Department of Electrical and Computer Engineering, University of Florida, Gainesville, Fl, USA1
AnalytXbook inc., Boston, MA, USA1
Chinese Academy of Sciences, Beijing, China, Harbin Institute of Technology, Harbin, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Chinese Academy of Sciences, Beijing, China and Harbin Institute of Technology, Harbin, China1
Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Faculty of Information Technology, Brno University of Technology, Czech republic1
Xiamen University of Technology, Fujian, China1
Division of Electrical Engineering, Hanyang University, Ansan, South Korea1
School of Computing and Communication, University of Technology, Sydney, Australia1
Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea1
Department of Electrical Engineering, Imperial College, London, UK1
Department of Electrical-Mechanical Manufacturing Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand1
Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Department of Software Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China1
Department of Mathematical Sciences, Georgia Southern University, Statesboro, USA1
Signal and Information Processing section (SIP), Department of Electronic Systems, Aalborg University, Denmark1
Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark1
Chinese Academy of Sciences, Shaanxi, P. R. China1
University of Sydney, NSW, Australia1
Chinese University of Hong Kong, Hong Kong1
Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria1
Mechanical and Systems Research Laboratories, Institute of Industrial Technology Research, Hsinchu, Taiwan 310, China1
State Grid Yue Yang Power Supply Company, Yueyang, 414000, China1
College of Education Science, Hunan Normal University, Changsha, 410081, Hunan1
Hunan Normal University, Changsha, 410081, Hunan1
The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China1
California Institute of Technology, Pasadena, CA 91125, USA. lihi@vision.caltech.edu1
Weizmann Institute of Science, Rehovot, Israel. tal.hassner@weizmann.ac.il1
Weizmann Institute of Science, Rehovot, Israel. ronen.basri@weizmann.ac.il1
Department of Electronic EngineeringCentre for Vision, Speech and Signal Processing, University of Surrey, Surrey, U.K.1
Department of Electrical EngineeringFaculty of Engineering, Urmia University, Urmia, Iran1
the Crash Safety Research Center, LLC, East Hampton, CT, USA1
University of Wisconsin-Madison, WI1
School of Computing Science, Northwestern Polytechnical University, Xi’an, China1
School of Computing and Intelligent Systems, Ulster University, Londonderry, Northern Ireland, UK1
UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France1
Instituto Nacional de Astrofísica, Puebla, Mexico1
Beijing Faceall Technology Co., Ltd, Beijing, China1
Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France1
National University of Singapore, Singapore, Singapore, Singapore1
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China1
Deparment of Computing, Goldsmiths, University of London, London, UK1
Graduate School of Engineering Science, Osaka University, Toyonaka, Japan1
Department of Statistics and Computer Science, University of Peradeniya, Sri Lanka1
Postgraduate Institute of Science, University of Peradeniya, Sri Lanka1
National Engineering Laboratory for Neuromodulation, Precision Medicine and Healthcare Research Center, Center of Epilepsy, School of Aerospace Engineering, Man-Machine-Environment Engineering Institute, Beijing Institute for Brain Disorders, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Beijing, China1
Tsinghua University Yuquan Hospital, Beijing, China1
Department of Information Technology, YCCE, Nagpur, India1
Michigan State University1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, People’s Republic of China1
ITK Engineering GmbH, Computer Vision Team, Lollar, Germany1
Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany1
IBM T.J. Watson Research Center, Hawthorne, USA1
University of Science Technology, Wuhan, China1
Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia1
University at Qatar, Doha, Qatar1
University of Istanbul, Istanbul, Turkey1
Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India1
Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India1
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China1
LJK–INRIA site, LJK–CNRS, Montbonnot, France1
Department of Electrical and Computer Engineering, University of California Santa Barbara1
Department of Computer Science, University of California Santa Barbara1
Beijing Jiaotong University, Beijing, China and China Three Gorges University, Yichang, Hubei, China1
Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada1
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.1
faculty of Science and Technology, University of Macau, Macau1
Department of Automation, Automotive Electronics and Embedded System Engineering Research Center, Chongqing University of Posts and Telecommunications, Chongqing, China1
Elec. Engineering and Computer Science, Queen Mary University of London, London, United Kingdom1
Dept. of Computer Science, National University of Singapore, Singapore, Singapore1
Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada1
Department of Electrical Engineering, University of New Orleans, LA 70148, U.S.A1
KnowledgeNet Corporation, Saudi Arabia1
Dept. of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Department of Physics, Northeastern University, 360 Huntington Ave, Boston, MA, USA1
Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
Advanced Digital Sciences Center, Connexis North Tower, Singapore1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong, China1
L3i Laboratory, La Rochelle University, Rochelle, France1
LITIS Laboratory, Rouen University, Rouen, France1
University of Nottingham, Nottingham, UK1
Department of Computer Science, City University of Hong Kong, Honk Kong, China1
National University of Ireland, Maynooth, Ireland1
LORIA, Villers-lès-Nancy Cedex, France1
Centre de Visió per Computador, Barcelona, Spain1
Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom1
Department of Computer Science and Software Engineering, Xi'an Jiaotong–Liverpool University, Suzhou, China1
York University, Toronto1
Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy1
National Institutes of Health (NIH) Clinical Center, Bethesda, MD1
Departamento de Informtica e Matemtica Aplicada/University of Rio Grande do Norte, Natal, Brazil1
Computer Engineering Department, Girne American University, Kyrenia, Cyprus 901
School of Engineering and Digital Arts, University of Kent, Canterbury, U.K.1
Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico1
Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA1
Computer Vision Lab, ETH Zürich, Zürich, Switzerland1
Zürich University Hospital1
Münsingen Regional Hospital1
Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, People’s Republic of China1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, People’s Republic of China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, People’s Republic of China1
Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India1
Computer Science &Engineering, Sathyabama University, Chennai, India1
University of Washington &Microsoft, Seattle, WA, USA1
Agora University of Oradea, Oradea, Romania1
Faculty of Electronics, Telecommunications and Information University Politehnica of Bucharest, Bucharest, Romania1
Computer Science Department, University Politehnica of Bucharest & IT Center for Science and Technology, Bucharest, Romania1
School of Electrical Engineering and Computer Science, Key Laboratory of Machine Perception, Peking University, Beijing, China1
Dept. of Civil, Institute for Transportation, Iowa State University1
Biometrics Engineering Research Center, Yonsei University, Seoul, Korea1
Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 203751
Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 283011
Computer Science Dept. University of Maryland College Park, MD 207421
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom dave.marshall@cs.cardiff.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom paul.rosin@cs.cardiff.ac.uk1
School of Computer Science, University of Bath, Bath BA2 7AY, United Kingdom dpc@cs.bath.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom l.truong-benedikt@cs.cardiff.ac.uk1
Division of Engineering, New York University, Abu Dhabi, Abu Dhabi, United Arab Emirates1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong1
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland1
Centre of Quantum Computation and Intelligent Systems, University of Technology Sydney, Broadway, NSW, Australia1
University of New South Wales, Sydney, NSW, Australia1
University of Adelaide, Adelaide, SA, Australia1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xi'an, China1
University of Kentucky, Lexington1
PSI-ESAT / ETHZ1
Sharif Tech1
PSI-ESAT1
School of Integrated Technology, Yonsei University. Incheon, Korea1
School of Integrated Technology, Yonsei University, Incheon, Korea1
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China1
College of Communication Engineering, Chongqing University, Shapingba district, Chongqing, China1
Google Inc., Zurich, Switzerland1
College of Information and Control Engineering, China University of Petroleum, Beijing, China1
Chinese Academy of Science, Institute of Information Engineering, Beijing, China1
Rutgers University, 94 Brett Rd, Piscataway Township, NJ 08854, USA1
Fujitsu Laboratories Ltd., Kanagawa, Japan1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle upon Tyne, NE1 8ST, UK1
Department of Electronic and Electrical Engineering, The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK1
Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. jshi@cis.upenn.edu1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. psrin@seas.upenn.edu1
Dalian University of Technology, Dalian City1
Samsung Computer Vision Group Telecom R&D Center Beijing1
SeaTech School, Toulon University, La Garde, France1
LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France1
School of information technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China1
Drexel University, Philidelphia, PA, USA1
Memorial University, St. John's, NF, Canada1
ISC-PIF, CNRS, Paris, France1
Islamic Azad University Arak Branch, Young Researchers Club Arak, Iran1
Islamic Azad University Arak Branch, Iran1
Islamic Azad University Shazand Branch, Iran1
School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom1
Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin, China1
Dept. of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Köln, Germany1
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA1
Computer Science and Engineering, CENG, Qatar University, Doha, Qatar1
LE2i Laboratory, University of Burgundy, Dijon, France1
Electrical and Computer Engineering Dept., National University of Singapore, Singapore 1175761
Siemens AG, Corporate Technology, 81739 Munich, Germany1
School of Computing, Teesside University, UK1
Department of Biomedical Engineering, University of Florida, Gainesville, USA1
LMU Munich, Germany and Munich University of Applied Sciences, Germany and Bundeswehr University Munich, Germany1
LMU Munich, Germany and University of Glasgow, Scotland1
Medical College Kolkata, Kolkata, India1
Centre for Image Analysis, Uppsala University, Uppsala, Sweden1
School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India1
Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India1
School of Mathematics and Statistics, Guangdong University of Finance and Economics, Guangzhou, China1
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, gtumuklu@ceng.metu.edu.tr1
ACT Inc., Iowa City, IA, USA1
Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea1
TNLIST and Department of Automation, Tsinghua University, China1
CAS, Key Lab of Intell. Info. Process., Institute of Computing Technology, Beijing, China1
Dept. of Biomedical Eng., University of Padua, Italy. enrico.grisan@unipd.it1
Dept. of Electr. Eng. and Physics, Heriot-Watt University, UK. p.favaro@hw.ac.uk1
Computer Science Dept., UCLA, USA. vedaldi@ucla.edu1
Instituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Santarém, Pará, Brasil1
Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Hue University of Sciences, Vietnam1
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), and the Key Laboratory of Machine Perception, Peking University, Beijing, 100087 China1
Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium1
School of Electronics and Information Engineering, Xi'an Jiaotong University, China1
Department of Computer Science, Johns Hopkins University, Baltimore, United States1
Indian Institute of Engineering Science and Technology, Shibpur, India1
Department of Computer ScienceCortical Architecture Imaging and Discovery Laboratory, University of Georgia, Athens, GA, USA1
Civolution Technology, Eindhoven, The Netherlands1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle, U.K.1
Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement CEREMA, 76000 Rouen, France1
Tata Consultancy Services Ltd., TCS Research & Innovation, Kolkata, India1
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China1
Progeny Systems Corporation, 9500 Innovation Drive, Manassas VA 20110, USA1
Department of ECE Marian Engineering College Trivandrum, India1
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong1
PolyU Shenzhen Research Institute, Shenzhen, China1
Computer and Information Science Department, University of Pennsylvania, Philadelphia, PA, USA1
Medical Image Analysis Lab, Simon Fraser University, Burnaby, Canada1
BiSICL, University of British Columbia, Vancouver, Canada1
New York University1
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China1
Intel, Kontich, Belgium1
Aristotle University of Thessaloniki, Department of Informatics, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@aiia.csd.auth.gr1
Microsoft Research Asia &Institute of Computing Technology, CAS, Beijing, China1
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China1
EECS, UC Berkeley1
Department of Computer Science, Rutgers University, Piscataway, New Jersey 08854, USA1
INRIA Grenoble-Rhône-Alpes Research Center, France1
School of Computer Science and Information, Anhui Polytechnic University, Wuhu, China1
Dept. of Computer Science, University of Houston, 4800 Calhoun, TX 77204-3010, U.S.A.1
School of Computer and Information, AnHui Polytechnic University, WuHu, China1
Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University, Iksan, Korea1
Qualcomm Technologies, Inc., San Diego, CA1
Kyushu Institute of Technology, Japan1
Delft University of Technology, Delft & Radboud University, Nijmegen, Netherlands1
St.-Petersburg Electrotechnical University, St.-Petersburg, Russia1
West Pomeranian University of Technology, Szczecin, Poland1
Department of Information Engineering, University of Florence, Firenze, Italy1
Electrical Engineering Department, IIT Roorkee, India1
Computer Engineering, Rochester Institute of Technology, New York 14623, USA1
Computing & Informational Sciences, Rochester Institute of Technology, New York 14623, USA1
National Formosa University, Yunlin, Taiwan1
Electrical Engineering Department, Kuwait University, Safat, Kuwait1
Electronic and Electrical Engineering Department, University of Surrey, Guildford, United Kingdom1
Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India1
University of Thiqar, Iraq1
Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India1
Dept. of Computer Science and Engineering, The Ohio State University, USA1
Dept. of Electrical and Computer Engineering, University of Macau, China1
Brno University of Technology, Brno, Czech Rep1
Brno University of Technology & Adobe Research, Brno, Czech Rep1
Waseda University, Shanghai JiaoTong University1
Department of Electrical Engineering, Shahid Rajaee University, Tehran, Iran1
Department of Electrical Engineering, Tarbiat Modarres University, Tehran, Iran1
School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran1
L2F - INESC-ID, Systems and Computers Research Institute, Lisbon, Portugal1
University of Sydney1
School of Information and Communication Technology, Griffith University, Southport, QLD, Australia1
Queensland Brain Institute, University of Queensland, Queensland, QLD, Australia1
School of Mathematics and Statistics, Xian Jiaotong University, Xian, China1
Vesalis company, Clermont-Ferrand, France1
College of Science, Northeast Agricultural University, Harbin, China1
College of Economics and Management, Northeast Agricultural University, Harbin, China1
College of Engineering, Northeast Agricultural University, Harbin, China1
School of Science and Engineering, Tokyo Institute of Technology, Japan1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, via Mersin 10, Turkey1
Department of Computer Engineering, Cyprus International University, via Mersin 10, Turkey1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. ramanath@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
School of Electrical Engineering, Nantong University, Nantong, China1
Chinese Academy of Sciences, Chongqing, China1
Chinese Academy of Sciences, Chongqing, Singapore1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de1
Chinese Academy of Engineering, Beijing, China1
Department of Biomedical Engineering, South China University of Technology, Guangdong, China1
Superintendência de Prevenção e Proteção Universitária, University of São Paulo, São Paulo, Brazil1
Faculdade de Medicina Veterinária e Zootecnia, University of São Paulo1
Institute of Mathematics and Statistics, University of São Paulo1
University of Calgary, Calgary, T3G 2T6 AB, CANADA1
University of Louisville, Louisville, KY 40292 USA1
Tubitak Bilgem Information Technologies Institute, Kocaeli, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, ITU Ayazaga Campus, Maslak/Istanbul1
State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100088, China; State Key Lab of Wireless Mobile Communication, China Academy of Telecommunication Technology, Beijing 100191, China1
Info. Strategy Office, Nagoya University, Japan1
Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia1
Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel1
Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel1
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Australia1
Department of Systems Engineering and Automation, University of Vigo, Pontevedra, Spain1
University of Science & Technology (UST), Daejeon, Korea1
School of EEE, Nanyang Technological University, Singapore, Singapore1
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
Max Planck Institute for Informatics, Saarbrucken, Germany1
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Türkiye1
Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States1
Art History, University of California, Riverside, Riverside, California United States1
Electrical Engineering, University of California, Riverside, Riverside, California 92521 United States1
Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain1
Distributed Infinity, Inc., Larkspur, CO, USA1
University of Colorado Denver, Denver, CO, USA1
MIT World Peace University1
Project Lead Persistent Systems Ltd1
Adobe Systems Inc., San Jose, CA, USA1
Department of Computer Science, UNC Chapel Hill, NC 27599, USA1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Department of Computer Science and Engineering, Chinese University of Hong Kong, Hongkong, People’s Republic of China1
Computer Science, University of North Carolina at Charlotte1
Department of Computer Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA1
Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan1
TELNET Innovation Labs, Tunis, Tunisia1
Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain1
College of Computer Science and Engineering, Northeastern University, Shenyang, People’s Republic of China1
Department of Psychiatry and Neurosciences, Department of Psychiatry and Neurosciences, University of Missouri Kansas City (UMKC), Kansas City, USA1
Center for Neuropsych Research of Traumatic Stress, Charles University Department of Psychiatry, Prague, Czech Republic1
Department of Psychology,, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom1
EECS, University of Massachusetts at Lowell, Lowell, MA, USA1
Friedrich Schiller University of Jena, Germany1
EECS, University of California at Berkeley, Berkeley, CA, USA1
Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy1
CSE, Jeppiaar Engineering College, Tamilnadu, India1
CSE-Dept, Sathyabama University, Tamilnadu, India1
INRIA Bordeaux Sud Ouest, France1
LIMSI-CNRS, Orsay Cedex, France1
Brown University, Providence, USA1
Weta Digital, Wellington, New Zealand1
Middlebury College, Middlebury, USA1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: hintz@it.uts.edu.au1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: jant@it.uts.edu.au1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: pohsiang@it.uts.edu.au1
Dept. of Mathematics and Computer Science, University of Udine, Italy1
Department of Computer Science & Engineering, Indian Institute of Technology, Kanpur, India1
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India1
Center for AI & Robotics, DRDO Complex, Bangalore, India1
Department of Control, Instrumentation Engineering, Hanbat National University, Daejeon, Korea1
Miss Poter's School, Farmington, USA1
Moscow State University Department of Computational Mathematics and Cybernetics, Moscow, Russia1
Inspur, Shangdong, China1
EPFL IC ISIM LAP, Lausanne, Switzerland1
National Key Laboratory of Parallel and Distributed Processing, National University of Defense Technology, Changsha, China1
Council of Scientific and Industrial Research (CSIR), New Delhi, India1
School of Automation, Huazhong University of Science and Technology, Wuhan, China and Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen, China1
Department of Computer Science, National Chiao-Tung University, Hsinchu, Taiwan1
Department of Electronics & Communication Engineering, Delhi Technological University, India1
Institute of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu, Taiwan1
School of Electrical and Data Engineering, FEIT, University of Technology Sydney, Australia1
Institute of Computer Science and Engineering, National Chiao-Tung University, Hsinchu, Taiwan1
SCS, Carnegie Mellon University, Pittsburgh, USA1
Department of Computer Science, University of Frères Mentouri, Constantine, Algeria1
Faculty of Computers and Information, Menoufia University, Menoufia, Egypt1
Administrative Office of Computer School of Pingdingshan University, Pingdingshan, China1
DISI, University of Trento, Trento, Italy1
LAPI, University Politehnica of Bucharest, Bucharest, Romania1
Zhejiang University & Carnegie Mellon University, Hangzhou, China1
Southwest Jiaotong University & Carnegie Mellon University, Chengdu, China1
School of International Education, University of Electronic Science and Technology of China, Chengdu, China, 6117311
National Engineering Laboratory of Visual Information Processing Applications, Xi’an Jiaotong University, Xi’an, China1
Collaborative Innovation Center of Intelligent New Energy Vehicle, Tongji University, Shanghai, China1
School of Science, Jiangnan University, Wuxi, People’s Republic of China1
Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, USA1
Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Ministry of Education, Wuxi, People’s Republic of China1
School of Internet of Things, Jiangnan University, Wuxi, People’s Republic of China1
Department of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey1
Informatics Institute, Faculty of Science, University of Amsterdam. The Netherlands1
Jiangsu University, Chinese Academy of Sciences, Zhenjiang, China1
AMF-319, IŞIK University, Ístanbul, Turkey1
North China Sea Environmental Monitoring Center, State Oceanic Administration1
School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA1
School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China 10008761
Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala1
Dept. of EC Engineering, LBS Institute of technology for Women, Poojapura, Trivandrum, Kerala1
Computer Science Department, Stony Brook University, samaras@cs.sunysb.edu1
Microsoft Research, zhang@microsoft.com1
IBM T.J.Watson Research Center, zhenwen@us.ibm.com1
Microsoft Live Labs Research, ganghua@microsoft.com1
Microsoft Research, zliu@microsoft.com1
The Robotics Institute, Carnegie Mellon University, wangy@cs.cmu.edu1
Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, CA1
Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey1
Department of Communication Engineering, Yuan Ze University, Chungli, Taiwan1
Electrical Engineering, Indian Institute of Science, Bangalore, Karnataka, India1
The University of Texas at Dallas1
Fayetteville State University1
Microsoft Research Asia, 49 Zhichun Road, Beijing, 100190, China1
Pontifical Catholic University of Rio Grande do Sul, PUCRS - Porto Alegre, Brazil1
Pontifical Catholic University of Rio de Janeiro1
University of Ottawa1
Nagoya University, Furo cho, Chikusa ku, Aichi, Japan1
Department of Electrical Engineering, University of Washington, Seattle, 98195, USA1
College of Physics and Electronic Information, Wenzhou University, Wenzhou, China1
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
LIASD research Lab., University of Paris 8, Saint-Denis, France1
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Guelma, Algeria1
Ship Intelligence, Rolls-Royce Marine1
University of Science, Department of Computer Science, Ho Chi Minh city, Vietnam1
Department of Informatics, UC Irvine, Irvine, USA1
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA1
Department of Computer Science, UC Irvine, Irvine, USA1
Department of Computer Science, University of California at Davis, Davis, USA1
Korea Institute of Oriental Medicine, Daejeon, South Korea1
Faculty of Computer Science, Technical University, Cluj-Napoca, Romania1
Department of Electrical and Computer Engineering, University of Denver, Denver, USA1
Education Technology and Information Center, Shenzhen Polytechnic, Shenzhen, China1
School of Astronautics, Harbin Institute of Technology, Harbin, China1
School of Computer Science and Technology, Jilin University1
Monash University, Australia1
FotoNation Ltd., Galway, Ireland1
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India1
Computer Vision Center/Computer Science Department, Universitat Autonoma de Barcelona, Barcelona, Spain1
Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi’an, China1
University of Klagenfurt1
University of Catania1
TU Delft & Radboud University Nijmegen1
Department of Computing, Federal University of Piauí, Teresina, Brazil1
Academy of Computer Science and Software Engineering, University of Johannesburg, Corner Kingsway and University Road Auckland Park, South Africa, 20921
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA1
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
MediaTek, Inc., Hsinchu, Taiwan1
UBTECH Robotics, Shenzhen, China1
UBTech Sydney Artificial Intelligence Institute1
School of Science and Technology, Nottingham Trent University, Nottingham, UK1
Department of Electronics and Computer Science, University of Southampton, Southampton, UK1
Intelligent Systems Research Centre, University of Ulster, Londonderry, UK1
School of Mathematics and Computer Science, Faculty of Science and Engineering, City Campus, University of Wolverhampton, Wolverhampton, England, UK1
Department of Physics, Tripura University (A Central University), Suryamaninagar, Tripura, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, Tripura, India1
Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Islamic Azad University, Qazvin Branch, Iran1
Elektronik ve Haberleşme Mühendisliği Bölümü1
iTeam - Universitat Politècnica de València, València, Valencia, Spain1
Department of Computer Science, University of Peshawar, Peshawar, Pakistan1
School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China1
Engineering Research Center of Information Networks, Ministry of Education, Beijing, China1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, China1
School of Civil Engineering, Chongqing University, China1
Electronic Information Engineering College, Henan University of Science and Technology, Luoyang, China1
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, Email: houyang@ee.cuhk.edu.hk1
Universidad de León, León, Spain1
Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey1
School of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA1
Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China1
Netflix, Los Gatos, CA, USA1
Adobe Systems, San Jose, CA, USA1
Department of Electrical and Electronic Engineering, Shizuoka University, Shizuoka, Japan1
Department of Aerospace and Mechanical Engineering, Embry-Riddle Aeronautical University, Prescott, AZ, USA1
Beihang University, China1
Department of Computer Science, The University of York, York, U.K.1
College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350108, China1
School of Software, Xiamen University, Xiamen, China1
Graduate School of System Informatics, Kobe University, Kobe, Japan1
Center for Computational Social Science, Kobe University, Kobe, Japan1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:pitas@aiia.csd.auth.gr1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:vasilis@aiia.csd.auth.gr1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:vretos@aiia.csd.auth.gr1
NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan1
Robert Bosch Engineering and Business Solutions Limited, Bangalore, India1
Department of Instrumentation and Control Engineering, PSG College of Technology, Coimbatore, India1
United Technologies Research Center, Cork, Ireland1
Department of Information Security Engineering, Shanghai Jiao Tong University, Shanghai, China1
Department of Mathematics, Jiaying University, Meizhou, China1
Beihang Univ, Dept Measurement Control & Informat Technol, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China1
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China1
Carnegie Mellon University - Silicon Valley, Moffett Field, CA, USA1
Dept. of Electronics, Telecommunications and IT, University “Politehnica” of Bucharest, Romania1
Sabaticı Üniversitesi, İstanbul, Türkiye1
Microsoft Research Redmond, Redmond, USA1
Robert Bosch GmbH, Chassis Systems Control, Stuttgart-Vaihingen, Germany1
Robert Bosch GmbH, Corporate Research, Renningen, Germany1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, People’s Republic of China1
Department of Multimedia, Sungkyul University, Anyang, Korea1
School of Computer Science, Harbin Institute of Technology, Harbin , China1
Delft University of Technology, EEMCS, Delft, The Netherlands, reinierz@gmail.com1
Imperial College London, Computing Department, London, U.K., m.pantic@imperial.ac.uk1
Korea Electronics Technology Institute, Korea1
Department of Electronic Engineering and Computer Science, The Catholic University of America, Washington, DC, USA1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Faculty of Electrical and Computer Eng., Babol University of Technology, Babol, Iran1
Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan1
Computer Vision and Robotic Laboratory, Instituto Superior Técnico, Lisbon, Portugal1
Learning Algorithms and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL-STI-I2S-LASA, Lausanne, Switzerland1
Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, and the Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA1
Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada1
Department of Computer and Information Science, University of Macau, Macau1
College of Transportation and Management, Dalian Maritime University, Dalian 116026, China1
LG Electronics Institute of Technology, Seoul, Korea1
Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada1
St. Joseph’s Health Care, London, ON, Canada1
Northumbria University, Newcastle upon Tyne, U.K.1
NOAA/AOML, Hurricane Research Division, 4301 Rickenbacker Cswy, Miami, FL 33149, USA1
Down Syndrome Research Foundation, Vancouver, BC, Canada1
Departments of Computer Science and Applied Mathematics, Stony Brook, NY 11794, USA1
United Technologies Research Center, 411 Silver Lane, East Hartford, CT 06108, USA1
Department of Electrical and Computer Engineering, University of Alabama at Birmingham, 35294, USA1
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India1
Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada1
Department of Computer Science, Hong Kong Baptist University,1
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Center for Applied Mathematics, Tianjin University, Tianjin, China1
Department of Mathematics, School of Science, Tianjin University, Tianjin, China1
Faculty of Applied Mathematics, Shanxi University of Finance and Economics1
Illinois Univ., Urbana, IL, USA1
C-Core, St. John's, Nfld., Canada1
University of Bonn, Bonn, Germany1
Middle East Technical University, Ankara, Turkey1
School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Qld, Australia1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu1
University of Electronic Science and Technology of China, Chengdu1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, People’s Republic of China1
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan1
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, People’s Republic of China1
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China1
IBM Research, Singapore1
Department of Computer Science, University of Milan, Milan, Italy1
Department of Mathematics “Federigo Enriques”, University of Milan, Milan, Italy1
Indian Institute of Technology, Mandi, India1
National Institute of Technology, Hamirpur, India1
Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy1
Department of Electronic and Electrical Engineering, Gaziantep University, Gaziantep, Turkey1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. guskov@eecs.umich.edu1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. xinju@eecs.umich.edu1
Université Of Bourgogne, France1
Delft University of Technology, Amsterdam, Holland1
Huawei Research and Development, Santa Clara, CA, USA1
Centro de Ciências do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal1
Instituto Português do Mar e da Atmosfera (IPMA), Divisão de Modelação e Gestão de Recursos da Pesca, Lisbon, Portugal1
Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal1
Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia1
Laboratory of Psychopathology and Neuropsychology (LPN, EA2027), Université Paris 8, Saint-Denis 93526 cedex, France1
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, AE Enschede, The Netherlands1
Washington State University, Box 642752, Pullman, 99164-2752, United States1
Tennessee Technological University, Box 5101, Cookeville, 38505, United States1
UC San Diego, La Jolla, CA1
Department of Cybernetics, Czech Technical University, Prague, Czech Republic1
Department of Cybernetics, Centre for Machine Perception, Czech Technical University, Praha, Czech Republic1
School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China1
Shenzhen Konka Communication Technology Company, China1
Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland1
Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany1
Center for Economics and Neuroscience, University of Bonn, Bonn, Germany1
Laboratory of Neurogenetics, University of Bonn, Bonn, Germany1
Department of Psychology, University of Bonn, Bonn, Germany1
Center for Research in Intelligent Systems, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Computer Science, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Electrical Engineering, University of California Riverside, Riverside1
Nanyang Technological University, China and Chinese Academy of Sciences, China1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zqzhuang@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. email: binli@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. alang_yao@mail.ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. chenhong@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zwcong@mail.ustc.edu.cn1
Blaise Pascal University, France1
University of Sousse, Tunisia, Blaise Pascal University, France1
School of Automation, Beijing University of Posts and Telecommunications, 100876, China1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, 639798, Singapore1
ENSEEIHT, Toulouse, France1
Florida Atlantic University, Boca Raton, USA1
Dept. of Computer Science, U. of Texas at Austin1
Laboratory of Media Dynamics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
Vision & Sensing Group, HCC Lab, University of Canberra, Australia1
iHCC, Australian National University, Australia1
Department of Computer Science, University of Texas at Arlington, 500 UTA Boulevard, USA1
School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK1
Nanjing University of Information Science and Technology, China1
Max-Planck-Institute for Informatics, Saarbruecken, Germany1
University of Erlangen-Nuremberg, Erlangen, Germany1
Stanford University, Stanford, United States of America1
Cornell University, New York, NY, USA1
Cornell University & Facebook Inc., New York, NY, USA1
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, 3801 University St, QC H3A 2B4, Canada1
Dept. of Computer Science and Engineering, The University of Texas at Arlington, Arlington, USA1
iCV Research Group, Institute of Technology, University of Tartu, 50411, Estonia1
Dept. Mathematics and Informatics, University of Barcelona, Computer Vision Center, Spain1
Institute of Technology, University of Tartu, 50411, Estonia1
Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil1
Emory University School of Medicine, Atlanta, USA1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA1
Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
Amazon.com Cambridge, MA, USA1
Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 100291
Dept. of ENME College Park, University of Maryland, College Park, MD, 207421
Electrical & Computer Engineering Department, Temple University, Philadelphia, PA, USA1
I-Fusion Technologies, Inc, Germantown, MD, USA1
Center of Network and Computation, Huazhong University of Science and Technology, Wuhan, China1
School of Computer and Information, Anqing Normal University, Anqing, China1
School of Computer Science and Engineering, Beihang University, 100091, Beijing, China1
Department of Computer Science and Engineering, Southeast University, Nanjing, China1
School of Mathematics and Statics, WuHan University, HuBei, China1
IBM T.J. Watson Research Center, Yorktown Heights, NY, USA1
Digital Western1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia; Institute of Management of Technology, National Chiao-Tung University, Taiwan. e-mail: debbiechu@itri.org.tw1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia. Fax: +61-3-94795971, Email: r.khosla@latrobe.edu.au1
Shenyang Institute of Automation, Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, CAS. Key Laboratory of Image Understanding and Computer Vision, Shenyang, China1
Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA1
St. Pölten Univ. of Applied Sciences, St. Pölten, Austria1
University of Vienna & Vienna University of Technology, Vienna, Austria1
Department of Computer Science, Northumbria University, Newcastle, UK1
Graduate University of the Chinese Academy of Sciences, 19A Yuquanlu, Beijing, 100049, China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 710119, Shaanxi, China1
Scientific Initiation Program State University of Maringá, Avenida Colombo, 5790, Maringá - Paraná - Brasil1
Computer Science Dapartment, Federal University of Technology - Paraná Via Rosalina Maria dos Santos, 1233, Campo Mourao - Parana - Brasil1
University of Rajshahi, Bangladesh1
NVIDIA, Leesburg, USA1
Intel Corp., Santa Clara, USA1
University of Delaware, Newark, USA1
Indiana University, Indianapolis, USA1
NextGen Interactions, Raleigh, USA1
The University of Texas at Dallas, Richardson, USA1
Department of Computer Science and Engineering, University of Nevada at Reno, USA1
Labri, University of Bordeaux, France1
National Laboratory of Pattern Recognition at Institute of Automation, Chinese Academy of Sciences, Haidian, Beijing, China1
Mathematical Institute, University of Oxford, UK1
Department of Cognitive Sciences, University of Trento, Italy1
SMME, National University of Sciences & Technology, Islamabad, Pakistan1
National Technical University of Athens/ University of the Aegean, Athens, Greece1
Signal and System Research Unit, ENIT, le belvedere 1002, Tunis, Tunisia1
Drake University, Des Moines, IA, USA1
CoR-Lab, University of Bielefeld, Universitaetsstr. 25, 33615 Bielefeld, Germany1
Shanghai Maritime University, Shanghai, China1
Machine Intelligence Research Institute, Rockville, USA1
Computer Engineering Department PCCOE, Pune, India1
PCCOE Information Technology Department PCCOE, Pune, India1
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110004, China1
Computer Vision and Robotics Research, University of California, San Diego, La Jolla, California 92093-04341
University of Pittsburgh and Adjunct Faculty at the Robotics Institute, Carnegie Mellon University: 3137 Sennott Square, 210 S. Bouquet St., PA 15260 USA1
Institute of Creative Technologies, University of Southern California, Los Angeles, California, 900941
City University of Macau, Xian Xing Hai, Macau1
Zhuhai Da Hengqin Science and Technology Development Co.,Ltd, Zhuhai, China1
Key Laboratory of Child Development and Learning Science, Ministry of Education, School of Biological Sciences and Medical Engineering, Southeast Universit, Nanjing, China1
Information Processing and Telecommunications Laboratory, Computer Science Department, Faculty of Science and Technology, Sultan Moulay Slimane University, Mghila, Beni Mellal, Morocco1
SAIIP, School of Computer Science, Northwestern Polytechnical University, Xi’an, China1
Chung-Shan Institute of Science and Technology, Taiwan ROC1
Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan, ROC1
Department of Electrical and Computer Engineering, Duke University, USA1
Psychology Department at California State University, Fullerton, California, US1
Information Systems and Decision Sciences Department at California State University, Fullerton, California, US1
Graduate School of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan1
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Big Data Intelligent Computing of Zhejiang Province, Innovation Joint Research Center for ICPS, College of Computer Science and Technology, Zhejiang University, Hangzhou, China1
University Library, Vrije Universiteit Brussel, Pleinlaan 2, Brussel, Belgium1
Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada1
University of Applied Sciences of Western Switzerland, Fribourg, Switzerland1
University of Applied Sciences of Western Switzerland - Fribourg, Fribourg, Switzerland1
College of Mechanical and Electrical, Changzhou Textile Garment Institute, Changzhou, China1
Institute of Control and Computation Engineering, Warsaw, Poland1
Industrial Research Institute for Automation and Measurements, Warsaw, Poland1
School of Control Science and Engineering DUT, Dalian, China1
Department of Computer Science, Fuzhou Polytechnic, Fuzhou, China1
Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China1
College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China1
Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC1
CSIR-CEERI, Pilani, India1
CEDAR, Buffalo, USA1
Indian Institute of Information Technology, Chittoor, India1
Dept. of Comp. Sci. and Inf. Eng, National United University, Miaoli, Taiwan1
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-1816. alexander.loui@kodak.com1
The Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznan, Poland1
Department of Information Technology, Poznań University of Economics and Business, Poznan, Poland1
Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA1
Psychology Department, University of California, Santa Barbara, CA 93106 USA1
Computer Science and Information Engineering Department, National Taiwan Normal University, Taipei, Taiwan1
Dept. of computers and communications, Faculty Of Eng., Delta Univ. for Science and Technology, Gamasa City, Egypt1
Electrical-Electronics Engineering Department, Izmir University of Economics, Balcova, Turkey1
Electrical-Electronics Engineering Department, Firat University, Elazig, Turkey1
Mechatronics Engineering Department, Firat University, Elazig, Turkey1
Massachusetts Institute of Technology, CSAIL, Cambridge, Massachusetts1
Department of Electronics Engineering Pusan National University, Busan, Korea1
National Cheng Kung University, Tainan, Taiwan1
LaBRI, University of Bordeaux, Talence, France1
Computer Vision Laboratory (CVLab), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
Department of Computer Science, Solapur University, Solapur, India1
Networking Video Product BU, AverMedia Information, Inc Taipei, Taiwan1
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX1
College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China1
McGill University, School of Computer Science, Montréal, Canada1
Department of Electronics and Communication, NIT Calicut, Kerala, India1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, NY, USA1
Key Laboratory of Computing and Communication Software of Anhui Province, the School of Computer Science and Technology, and the School of Data Science, University of Science and Technology of China, Hefei, China1
Eskişehir Osmangazi Üniversitesi, Bilgisayar Mühendisliği Bölümü, Eskişehir, Türkiye1
Anadolu Üniversitesi, Elek., Elektronik Mühendisliği Bölümü, Eskişehir, Türkiye1
University of Western Australia, Perth, 6009, Australia1
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore1
Robrt Bosch Center for Cyber physical Systems of Indian, Institute of Science Bangalore1
Ramaiah Institute of Technology, Bangalore1
State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China1
School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China1
Key Laboratory of Intelligent Perception and Image Understanding, School of Artificial Intelligence, Ministry of Education, Xidian University, Xi’an, China1
Department of Applied Sciences, Ecole Normale Supérieure de Bujumbura, Bujumbura, Burundi1
Faculty of Computing, Information Systems, and Mathematics and also with the Digital Imaging Research Centre , Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames , U.K.1
National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore1
National University of Singapore & National University of Defense Technology, Singapore, Singapore1
INESC TEC, Porto, Portugal1
Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India1
University of Manouba, Republic of Tunisia1
University of South Wales, UK1
Lawrence Berkeley National Laboratory1
School of Computer Science, University of Lincoln, Lincoln, UK1
Khalifa University, Abu Dhabi, United Arab Emirates1
University of Bristol, Bristol, UK1
Sookmyung Women’s University, Seoul, Republic of Korea1
National Institute of Technology, Durgapur, India1
Indian Institute of Technology, Bhubaneswar, India1
Haldia Institute of Technology, Haldia, India1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece E-mail: dralbert@zeus.csd.auth.gr1
Department of Human Robot interaction Research Section, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea1
University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon, Korea1
Univ. La Rochelle, La Rochelle, France1
The Second Hospital of Nanjing, Nanjing, China1
University of Applied Sciences Berlin (HTW), Berlin, Germany1
College of Science and Mathematics, California State University, San Marcos, CA, USA1
Advanced Technology Labs, Adobe, San Jose1
Indiana University, Bloomington, Bloomington, IN, USA1
Indiana University Bloomington, Bloomington, USA1
Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
School of Computer Science and Engineering, South China University of Technology, Panyu District, Guangzhou City, China1
University of Nottingham, United Kingdom1
Shenzhen University, China1
University of Pittsburgh, Department of Psychiatry, 3811 O’Hara St., WPIC—Loeffler 319, Pittsburgh, PA 15213, United States1
Antal Bejczy Center for Intelligent Robotics Óbuda University1
School of Computing, Media and the Arts, Teesside University, Middlesbrough, UK1
IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK1
Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan1
Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia1
Video Surveillance Laboratory, Guizhou University for Nationalities, Guiyang, China1
College of Arts and Sciences, Shanxi Agricultural University, Shanxi, China1
CAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan, China1
Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA1
Centre for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia1
Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia1
Reference Centre on Interactive Television, Aragon Institute of Technology, Spain1
Hefei University of Technology, Hefei Shi, China1
National University of Singapore, Singapore, China1
Electrical department, Azad University of Takestan, Takestan, Iran1
Computer department, Raja University of Qazvin, Qazvin, Iran1
Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran1
Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy1
Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan1
Faculty of Philosophy, Languages and Literature, and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil1
School of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil1
Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France1
Guangxi Normal University, Guilin, China1
Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. pjimenez@depeca.uah.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. jnuevo@depeca.uah.es1
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain. josemiguel.buenaposada@urjc.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. bergasa@depeca.uah.es1
School of Computer Science, Shaanxi Normal University, Xi’an, China1
Engineering Laboratory of Teaching Information Technology of Shaanxi Province, Xi’an, China1
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China1
Research Center for Brain-Inspired Intelligence, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Centre for Artificial Intelligence, School of Software, University of Technology Sydney, Ultimo, NSW, Australia1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Rutgers University, 94 Brett Road, Piscataway, NJ 08854, United States of America1
Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-85111
Kurume National College of Technology, Fukuoka, Japan 835-85551
Faculty of Information Technology, Thai-Nichi Institute of Technology, Bangkok, Thailand 102501
Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan1
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan1
Yunnan University, Kunming, Yunnan, China and Chuxiong Normal University, Chuxiong, Yunnan, China1
Institutes of Innovation for Future Society, Nagoya University, Japan1
Information Strategy Office, Nagoya University, Japan1
Idiap Research Institute, Martigny, Ecole Polytechnique Fédérale de Lausanne, Switzerland1
Department of Ankara Digital Forensic Ankara, Forensic Medicine Institution, Ankara, Turkey1
Department of Computer Engineering, Faculty of Engineering, Kocaeli University1
The University of Manchester, Manchester, Lancashire, United Kingdom1
MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia1
MIRACL-Faculty of Economics and Management, Sfax University, Sfax, Tunisia1
Center for Quantum Computation and Intelligent System, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, China1
College of Communication Engineering, Chongqing University, 400044, China1
NUDT, College of Computer, Changsha, 410073, China1
Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand1
Department of Computer Engineering, Qazvin Islamic Azad University , Qazvin, Iran1
Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA1
Faculty of Electrical Engineering and Information Technology, Technische Universität München, 85290, Germany1
Nokia Research, Palo Alto, CA1
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University, West Lafayette, IN, 47907, USA1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
School of Mathematics, Jilin University, China1
Department of Computer Science, Memorial University of Newfoundland, Canada1
Vision Semantics Ltd1
Griffith University, Brisbane1
Griffith University, Brisbane and University of the South Pacific, Fiji1
WILLOW Team-ENS/INRIA/ENPC, Département d'Informatique, Ecole Normale Supérieure, Paris, France; Computer Science Department, Beckman Institute, University of Illinois, Urbana-Champaign, USA1
LEAR Team, INRIA, Montbonnot, France1
Computer Science Department, Beckman Institute, University of Illinois, Urbana-Champaign, USA; WILLOW Team-ENS/INRIA/ENPC, Département d'Informatique, Ecole Normale Supérieure, Paris, France1
State Grid Zhangjiakou, Power Supply Company, Zhang Jiakou, China 0750001
State Grid Shanxi Electric Power Company, Taiyuan, China 0300011
State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China 1001901
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA1
State University of New York at Buffalo1
Vocational School of Teachers and Technology, Jiangxi Agricultural University, Nanchang, China1
School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China1
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China1
Dept. of Electrical Engineering & Computer Science, Ningbo University, Ningbo, P. R. China1
Intel Israel, Haifa, Israel1
Microsoft Corporation, Redmond, WA1
Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.1
Electrical & Computer Engineering, Kettering University, Flint, Michigan, U.S.A.1
Department of Electrical and Computer Engineering, Curtin University, Miri Sarawak, Malaysia1
Information Security Group, City University London, London, UK1
Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia1
Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia1
School of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China1
IIIT Chittoor, SriCity, Andhra Pradesh, India1
Emory University1
Elon University1
University of Ontario Institute of Technology1
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA1
Ecole Centrale Paris & INRIA Saclay, France1
School of Information Engineering, Tianjin University of Commerce, Tianjin, China1
JD.com, Beijng, China1
State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China1
College Of Medicine Pediatrics, University of South Florida, Tampa, 33620, United States of America1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
School of Mechanical Engineering and Automation, Beihang university, Beijing 100191, China1
Laboratoire d’Imagerie, de Vision, et d’Intelligence Artificielle, École de Technologie Supérieure, Université du Québec, Montreal, Canada1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
Department of Electrical and Electronic Engineering, Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
School of Computer Science, Carnegie Mellon University (USA)1
ARM, Inc., San Jose, CA1
UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France1
Department of Electrical-Electronics Engineering, Boğaziçi University, Istanbul, Turkey1
INRIA - WILLOW Project1
Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Korean Language Education, Incheon National University, Incheon, South Korea1
School of Electrical Engineering and Information, University of Sichuan, Chengdu, China1
College of Computer and Information Science, Northeastern University, Boston, MA, USA1
College of Computer Science, Sichuan Normal University, Sichuan, China1
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China1
CIDIS - FIEC, Escuela Superior Politecnica del Litoral. Guayaquil, Ecuador1
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 48128, USA1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia1
ARCAA, Queensland University of Technology, Brisbane, Australia1
Department of Computer Engineering, Taif University, Taif, KSA1
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Oh, USA1
Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA1
Dept. Physics, Montana State University, Bozeman, MT 59717, USA1
NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico1
Interdisciplinary Graduate School, Rapid-Rich Object Search Laboratory, Nanyang Technological University, Singapore1
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Department of Electrical and Computer Engineering, Wayne State University, Detroit, USA1
Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan1
Statistics, Colorado State University, Fort Collins, USA1
Information Access Division, NIST, Gaithersburg, MD, USA1
Department of Federal Police - Brasilia - Brazil1
School of Computer Science and Engineering, Beihang University, 100191, Beijing, China1
Department of Computer Science, Texas State University, San Marcos, TX1
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China1
Industry Centre, Shenzhen polytechnic, Shenzhen, China1
School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Department of Electrical and Computer Engineering, Brunel University London, UB8 3PH, UK1
Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain1
Motorola Human Interface Labs, Tempe, Arizona 85284, USA1
GRAM, University of Alcalá, Alcalá de Henares, Spain1
University of Tokyo, Meguro-ku, Tokyo, Japan1
Macau University of Science and Technology, Macau SAR1
Aalesund University College, Norway1
Oregon State University, Corvallis, Oregon, United States1
Guizhou Radio Film and Television School, Guizhou, P. R. China1
Texas A & M University at Qatar, Doha, Qatar1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: komatsu@kom.comm.waseda.ac.jp1
NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: ichino@kom.comm.waseda.ac.jp1
Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba1
Key Laboratory of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Tencent1
Dalian Maritime University, Dalian, China1
Nanocomputing Research Lab, Rochester Institute of Technology, Rochester, NY, USA1
Bioinspired Microelectronics Systems Lab, School of Engineering, Nazarbayev University, Astana, Akmola, Kazakhstan1
Department of Electrical Engineering, IIT, Roorkee, India1
Electrical and Information Engineering, University of Sydney, Sydney, 2006 New South Wales, Australia1
Air Force Research Lab, Rome, NY, 13441, USA1
Measurement, Control and Mircotechnology , University of Ulm, Ulm, 89075 Germany, Germany1
Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany1
Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany1
Department of Electronic Engineering, Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China1
University of Petroleum and Energy Studies, Dehradun, India1
The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, China1
Institut Telecom, Telecom Paris, LTCI, France1
ITeam, Universitat Politècnica de València, Valencia, Spain1
Microsoft Research Asia, Beijing, 100080, P. R. China1
The University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand1
Private Practice, Auckland, New Zealand1
Formerly Repatriation General Hospital Concord, Sydney, Australia1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy1
CONICET, SINC(i)-FICH-UNL, Ciudad Universitaria, Santa Fe, Argentina1
CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina1
Department of Computer Engineering, Eastern Mediterranean University, Gazimağusa, Northern Cyprus1
ICSI, UC Berkeley1
Univ. of La Rochelle, Faculty of Eng.1
Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
Department of Electrical Engineering, Yazd University, Iran1
Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan1
University Blaise Pascal, Aubière, France1
School of Media and Communication, University of Leeds, Leeds, UK1
Center for Behavior Imaging, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA1
iRobot Corporation, Bedford, MA, USA1
Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan1
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
Department of Fundamental Science and Technology, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
University of the Basque Country, UPV, EHU, San Sebastian, Spain1
Institute for Neural Computation University of California, San Diego1
Max Planck Institute for Intelligent Systems in Tübingen, Germany1
Rapid-Rich Object Search Laboratory, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jhkim@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jychoi@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. myjeong@yonsei.ac.kr1
Science and Technology on Electro-optic Control Laboratory, Luoyang,471009,China1
Faculty of Engineering, Tunku Abdul Rahman University College, Setapak, Malaysia1
Faculty of Computing and Information Technology, Setapak, Malaysia1
University of Brunei Darussalam, Faculty of Science, Brunei Darussalam1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland1
Department of Computer Science, Kuwait University, Safat, Kuwait1
IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France1
Laboratory of LGEB, University of Biskra, Biskra, Algeria1
Laboratory of LESIA, University of Biskra, Biskra, Algeria1
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan1
Xi'an University of Science and Technology, Xi'an, China1
Xi'an Polytechnic University, Xi'an, China1
College of Information Engineering, Dalian Ocean University, Liaoning, P. R. China1
Department of Elec. Comm. & Software Engineering, Sun Yat-Sen University, Shanghai, P. R. China1
School of Compute Science & Technology, Soochow University, Suzhou, P. R. China1
School of Information Science & Technology, Donghua University, Shanghai, P. R. China1
Bahirdar Institute of Technology, Bahir Dar, Ethiopia1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-3800071
Centre for Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK1
Computer Science Department, University of Maryland, College Park, MD, USA1
Cernium Corporation, Reston, VA, USA1
Computer Science Department, University of California, Los Angeles, CA, USA1
Southwest Research Institute, San Antonio, USA1
Department of Information Engineering, University of Padova, Padova, Italy1
School of Information Technology, Deakin University, Burwood, Australia1
Dep. Inteligencia Artificial, U. Politécnica Madrid, Spain1
Dep. Ciencias de la Computación, U. Rey Juan Carlos, Spain1
Dep. Comp. Sci. and Engr., Fudan University, China1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. jjeong@ece.hanyang.ac.kr, windcap315@ece.hanyang.ac.kr1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. windcap315@ece.hanyang.ac.kr1
Department of Information Technology, University of Milan, Italy. Damiani@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Bellandi@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Anisetti@dti.unimi.it1
IBM Thomas J. Watson Research Center, United States1
Lawrence Livermore National Laboratory, United States1
Singapore Bioimaging Consortium, A*STAR, Singapore, Singapore1
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China1
Department of Electronic and Electrical Engineering, University of Sheffield, S1 3JD, UK1
School of Electronics, Electrical and Computer Engineering, University of Birmingham, B15 2TT, UK1
MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
QUVA Lab, Qualcomm Research, University of Amsterdam, Amsterdam, WX, The Netherlands1
University of Amsterdam, Amsterdam, WX, The Netherlands1
QUVA Lab, University of Amsterdam, Amsterdam, WX, The Netherlands1
Centre de Developpement des Technologies Avancees, Algeria1
Center For Machine Vision and Signal Analysis, University of Oulu, Finland1
Department of Information Science and Technology, Northwest University, Xi'an, China1
School of Computer Science and Electronic Engineering, University of Essex, United Kingdom1
Concordia University, Montreal, H3G 1M8, Canada1
Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China1
Changshu Institute of Science and Technology, China, Soochow University, China, and Beijing Jiaotong University, Beijing, China1
Soochow University, China, Jilin University, China, and Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China1
Soochow University, China and Suzhou Institute of Trade and Commerce, Suzhou, China1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain1
Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore1
Laboratory of Media Audio & Video, Communication University of China, Beijing, China1
Department of Computer Engineering, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia1
School of Electro-Mechanical Engineering, Xidian University, Xi’an, China1
School of Electrical Engineering, Yanshan University, Qinhuangdao, China1
Center for Intelligent Machines, McGill University, Montreal, Canada1
Leeds Beckett University, West Yorkshire, United Kingdom1
Keele University, Staffordshire, United Kingdom1
Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, China1
Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China1
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People’s Republic of China1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
FSU, Tallahassee, Tallahassee, FL, USA1
LIFL University of Lille 1, Lille, France1
Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany1
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye1
Department of Electrical Engineering & Computer Sciences, UC Berkeley1
Insititute of Information Science, Academia Sinica, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
Data and Knowledge Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China1
FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic1
Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia1
Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt1
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Dept of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Quebec, Canada1
Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K.1
Faculty of Computer Science, Bishop's University, Sherbrooke, Québec, Canada1
Key Laboratory of Intelligent Information Processing, Shandong Normal University, Jinan, China1
School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China1
School of Computer Science, Chongqing University, Chongqing, China1
Institute of Life Sciences, Shandong Normal University, Jinan, China1
Research Institute for Future Media Computing, Shenzhen University, Shenzhen, China1
University of Trento, Povo - Trento, Italy1
Czech Technical University, Prague 2, Czech Republic1
RWTH Aachen, Aachen, Germany1
Software College, Northeastern University, Shenyang 110819, China1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan1
Kyoto University of Foreign Studies, Japan1
School of Electrical and Information Engineering, University of Sydney, Sydney, Australia1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore1
Departments of Neurosurgery, Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, USA1
School of Aerospace Science and Technology, Xidian University, Xi’an, China1
School of Information Science and Technology, Fudan University, Shanghai, China1
Jingdezhen Ceramic Institute, Jingdezhen, China1
Facial Nerve Center, University Hospital Jena, Jena, Germany1
Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany1
Department of Computer Science, Friedrich Schiller University, Jena, Germany1
University of Hawaii at Hilo, Hilo, HI1
Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA1
University of Tehran, Department of Management and Accounting, University of Tehran, Tehran, Iran1
Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran1
Mechanical Engineering Department, College of Engineering, Qatar University, Doha, Qatar1
Mechanical Engineering Department, College of Engineering, Qatar University, Doha, Qatar. Tel : +974-485-2112; E-mail: malatif@qu.edu.qa1
University of Massachusetts, Dartmouth, MA, USA1
Northeastern University, Salisbury, MA, USA1
Statistics, University of California, Los Angeles, USA1
Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany1
Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 5180011
KLA-Tencor Software India Private Limited, Chennai, India 6000961
Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne1
Technicolor, IRISA, University of Rennes 1, Rennes, France1
Department of Electrical and Electronic Engineering, University of Imperial College, London, UK1
VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain1
USC School of Cinematic Arts1
Computer Engineering Department, Yildiz Technical University, Istanbul, TR1
Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR1
Computer Engineering Department, Istanbul Bilgi University, Dolapdere, TR1
National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, China1
Hefei TV Station1
Dept. of Marine Engineering, Tokyo University of Marine Science and Technology, Japan1
LITIS, Université de Rouen, Rouen, France1
Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, People’s Republic of China1
Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs1
Department of Computer Science, George Mason University, Fairfax, VA1
Department of Medicine, University of Massachusetts Medical School, Worcester, MA1
Department of Photogrammetry and Remote Sensing, K.N. Toosi University of Technology, Tehran, Iran1
Tianjin Sharpnow Technology Co. Ltd., China1
Electrical Engineering Department, COMSATS Institute of Information Technology, Islamabad, Pakistan1
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore1
Department of Information and Communication Technology, F. M. University, Balasore, India1
School of Computer Engineering, KIIT University, Bhubaneswar, India1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Library of Xuchang University, Xuchang University, 461000, Henan, China1
Information Engineering College, Central University for Nationalities, Beijing, 100081, China1
Hanyang University, Seoul, Rebublic of Korea1
The University of Western Australia, Crawley, Australia1
Curtin University, Perth, Australia1
Dept. of Computer Science, Hong Kong Baptist University, Hong Kong1
ELVEES NeoTek, JSC, Zelenograd, Russia1
Research and Development Center «ELVEES», Zelenograd, Russia1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia1
Beijing Etrol Technologies Co., Ltd., Beijing, China1
MOEKLINNS Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany1
SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA1
Department of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL1
Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia1
Computer Science Dept., Stevens Institute of Technology, Hoboken, NJ 070301
University of the Basque Country (UPV/EHU), Leioa, Spain1
Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain1
Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany1
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Signal Theory Department, Polytechnic School, University of Madrid, Spain1
Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain1
Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA1
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia1
Machine Vision Group, Dept. of Electrical and Information Engineering, University of Oulu, Oulu, Finland1
Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland1
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA1
Mellon College of Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Intelligent Technology and Robotics Research Center, Beihang University, Beijing, China1
University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
College of Computer Science, Inner Mongolia University, Inner Mongolia, China1
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore1
Institute of Automation Center for Biometrics and Security Resea, Chinese Academy of Sciences, Beijing, China1
University of Southampton, United Kingdom1
Faculty of Electronics and Telecommunications “POLITEHNICA” University from Timişoara Timişoara, România1
University of Surrey Guildford, UK1
Institute of Education, Xiamen University, Xiamen Shi, China1
College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China1
Department of Physics and Technology, University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway1
School of Communication and Design, Sun Yat-sen University, Guangzhou, China1
National Engineering Research Center of Digital Life, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: ysmoon@cse.cuhk.edu.hk1
Member, IEEE, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: jschen@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: kwcheung@cse.cuhk.edu.hk1
King Saud University, Riyadh, Saudi Arabia1
School of Automation, Wuhan University of Technology, Wuhan, China and National Laboratory of Pattern Recognition, CASIA, Beijing, China1
The Graduate Center, City University of New York, New York, NY, USA1
Pattern Recognition and Multi-modal brain imaging, University of Electronic Science and Technology of China, Chengdu, China1
Akita University, Akita, Japan1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan1
National Institute of Technology Goa, Ponda, India1
VIGpro Laboratory, The University of Kitakyushu, Japan1
Computer Science and Engineering, Wuhan University of Technology, China1
Electrical and Computer Engineering, Mississippi State University, USA1
University of Notre Dame, Notre Dame, IN1
Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden1
Information Strategy Office, Nagoya University, Nagoya, Aichi, Japan1
Institutes of Innovation for Future Society (MIRAI), Nagoya University, Nagoya, Aichi, Japan1
Gwangju Institute of Science and Technology, Buk-gu, South Korea1
Biometrics Research Center, The Hong Kong Polytechnic University, Hong Kong1
Ohio State University1
Georgia Institute of Technology, Center for Behavioral Imaging and College of Computing, Atlanta, GA, USA1
Georgia Institute of Technology, Center for Behavioral Imaging and School of Electrical and Computer Engineering, Atlanta, GA, USA1
University of Regina, Regina, Canada1
Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan1
The Hebrew University1
Academic College of Tel-Aviv-Yaffo1
University of KwaZulu-Natal, School of Maths, Statistics & Computer Science, Durban - South Africa1
Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan1
College of Communication Engineering, Jilin University, Changchun, P.R. China1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-9011
University of British Columbia1
Bundesdruckerei GmbH, Berlin, Germany1
Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany1
EMMi - Entertainment and Media Management Lab., Department of Business Information Management and Logistics, Tampere University of Technology (TUT), Tampere, Finland1
Queensland University of Technolgy, Australia1
Division of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
IT Convergence Research Center, Chonbuk National University, Jeonju, South Korea1
Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea1
Department of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
Technical University of Eindhoven, Eindhoven, Netherlands1
School of Engineering of UABC, University of Baja California, Tijuana, Mexico1
Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China1
National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan1
Hong Kong Baptist University, China, Hongkong, China1
Huazhong University of Science of Technology, China, Wuhan, China1
School of Software, Shenyang University of Technology, Shenyang, China1
Chongqing Vocational Institute of Engineering, Chongqing, China1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Microsoft Bing, Sunnyvale1
University of Science and Technology of China, China1
Institute for Digital Media, Peking University, Beijing, China1
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, People’s Republic of China1
Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia1
Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia1
Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain1
Makkah Technology Valley, Saudi Arabia1
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C.1
School of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea1
Department of Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan1
Department of Internal Medicine, Chung-Ang University, Seoul, South Korea1
Department of Data Science, Dankook University, Yongin, South Korea1
The University of Haifa, Haifa, Israel1
University of Haifa, Haifa, Israel1
Pontificia Universidad Católica de Chile1
Department of Psychology, Pennsylvania State University, University Park, PA, USA1
Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece1
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands1
Ruhr-Universität Bochum, Bochum, Germany1
National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University, Shenzhen, China1
Department of Computer Engineering, College of Applied Computer Science, King Saud University, Riyadh, Saudi Arabia1
Sapienza Università di Roma, via Salaria 113, 00198, Italy1
Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
School of Information Science and Engineering, Yunnan University, Kunming, China 6500001
HIK VISION, Hangzhou, China 3100271
College of Computer Science, Hangdian University, Hangzhou, China 3100271
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain1
Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia1
School of Mathematics Science, Liaocheng University, Liaocheng, China1
Industrial Technology Research Institute, Hsinchu, Taiwan1
Garmin Corporation, New Taipei, Taiwan1
Department of Neurosurgery, Rennes University Hospital, Rennes, France1
Faculty of Electrical & Electronics Engineering, Shijiazhuang Vocational Technology Institute, 050081, China1
Victoria University of Technology, Australia1
MIT Media Laboratory, Cambridge, MA, USA1
Department of Computer and Communication Engineering, National Kaoshiung First University of Science and Technology, Taiwan, ROC1
Keio University, Fujisawa Kanagawa, Japan1
Oregon State University, Corvallis, Oregon1
Advanced Engineering Department, DELPHI Automotive1
School of Engineering Science, University of Science and Technology of China, Hefei, China1
Department of Electrical and Computer Engineering, and the Center for Automation Research, UMIACS , University of Maryland, College Park, MD, USA1
Department of Electrical and Computer Engineering, and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA1
University of Warwick, Coventry, United Kingdom1
Department of Computer Science, University College London, London, United Kingdom1
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy1
University of California, David, USA1
University of Pennsylvania, Philadelphia, USA1
Visvesvaraya National Institute of Technology, Nagpur, India1
Toyohashi University of Technology, Toyohashi, Japan1
Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France1
Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France1
TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy1
Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, NJ, USA1
Bell Laboratories Research, Murray Hill, NJ, USA1
SCSE, VIT University (Chennai Campus), Chennai, India1
Rajalakshmi Engineering college and Research Scholar, VIT university1
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway1
Institute of Psychology, Heidelberg University, Heidelberg, Germany1
The Commonwealth Scientific and Industrial Research Organisation, Australia1
Center of Research and Development, SenseNets Corporation, Shenzhen, China1
Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong, China1
Kamaraj College Thoothukudi, Tamil Nadu, India1
Sathyabama University, Jeppiar Nagar, Chennai, Tamil Nadu, India1
School of Computer Science and Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China1
Microsoft Research, One Microsoft Way, Redmond, WA1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
ECE, University of Missouri, Snapchat, Columbia, United States1
School of Electronic Engineering and Computer Science, Peking University, Beijing, P. R. China1
Department of Mathematics, Eastern University, Sri Lanka1
Department of Informatics, King’s College London, Strand, London, UK1
Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France1
UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China1
School of Communication Engineering, Nanjing Institute of Technology, Nanjing, People’s Republic of China1
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, People’s Republic of China1
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China1
Department of Computing, Biometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong1
Automotive IT Platform Research Team, ETRI, Daegu, South Korea1
Department of Computer Engineering, SunMoon University, Asan, South Korea1
University of Bremen1
Industrial Automation Research Laboratory, Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong1
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China1
DeePhi1
Stanford University and DeePhi1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Ontario, M5S 3GA, Canada1
Howard T. Odum Center for Wetlands, University of Florida, Gainesville, USA1
Ecosurv Environmental Consultants, Maun, Botswana1
Climate Systems Analysis Group, University of Cape Town, Rondebosch, South Africa1
University of Botswana Okavango Research Institute, Maun, Botswana1
Department of CSE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Department of ECE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Department of Biology, California State University Northridge1
Institute of Statistics Science, Huazhong Agricultural University, Wuhan, China1
College of Science, Huazhong Agricultural University, Wuhan, China1
Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt1
priv-ID, Eindhoven, The Netherlands1
University of Twente, AE Enschede, The Netherlands R.N.J.Veldhuis@utwente.nl1
University of Texas, Texas, USA1
Universitat de Barcelona & Computer Vision Center, Barcelona, Spain1
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain1
Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain1
University of Barcelona & Computer Vision Center, Barcelona, Spain1
Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany1
College of Computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Computer Science, SUNY Stony Brook, Stony Brook, United States1
Rutgers University, USA1
Vision Semantics Ltd, UK1
UMass Lowell-MA, USA1
Daimler A.G, Boeblingen, Germany1
Auckland University of Technology, Auckland, New Zealand1
Department of Computer Science, Periyar University, Salem, India1
Department of Computer Science, Pontificia Universidad Catolica de Chile1
CNRS and LIAMA Sino French Laboratory, Beijing, China1
Department of Electronic Engineering, National Taipei University of Technology, Taiwan1
Mitsubishi Electr. Res. Lab., Cambridge, MA, USA1
Oakland University, Rochester, MI1
Brunel University, UK1
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China1
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China1
Postdoc Center of Information and Communication Engineering, Xiamen University, China1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia1
School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia1
Electrical and Computer Engineering, University of Texas, Austin, Texas 78712-1084 United States1
Electrical and Computer Engineering, University of Texas-Austin, Austin, Texas United States1
Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Department of Computer Science, University of Loughborogh1
Department of Electrical Engineering and Electronics, University of Liverpool1
Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand1
Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye1
Renai College of Tianjin University, Tianjin, China1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
Electrical Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Chiang Mai, Thailand1
Computer Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Chiang Mai, Thailand1
Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand1
College of Computer and Information Science, Northeastern University, Boston, USA1
Chung-Shan Institute of Science and Technology, Taoyuan 325, Taiwan1
Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, ROC1
Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands1
The Pennsylvania State University1
Disney Research1
National Institute of Advanced Industrial Science Technology, Japan1
Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada1
College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang1
Industrial Technology Research Institute, China1
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O.Box 823, SE-301 18, Halmstad, Sweden1
TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico1
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico1
TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico1
Chiba Institute of Technology, Japan1
School of Information Science and Technology, Shandong Normal University, Jinan, China1
Mechatronics Group, University of Auckland, Auckland, New Zealand1
Visual Information Technologies, Jacobs University Bremen, Bremen, Germany1
School of Engineering, Auckland University of Technology, Auckland, New Zealand1
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong1
Biometrics Research Center, The Hong Kong Polytechnic University, Hung Hom, Hong Kong1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China1
ESTIA, Bidart, France1
Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, North Cyprus1
Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus1
Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina1
Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil1
Department of Electrical Engineering, KAIST, Daejeon, 307-701, Korea1
Robotics and Computer Vision Laboratory, Department of Electrical Engineering, KAIST, Daejeon, 305-701, Korea1
Robotics and Computer Vision Laboratory, Division of Future Vehicle, KAIST, Daejeon, 305-701, Korea1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr1
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea1
Dept. of E.C.E, CE, JNTUH, INDIA1
Dept. of E.C.E, UCE, KU, INDIA1
CS Dept., UFMG, Brazil1
Argonne National Laboratory, USA1
Stony Brook University, USA1
KAUST Visualizatioin Core Lab., Thurwal, Saudi Arabia1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria1
Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA1
Department of Computer Science, University of California at Irvine, Irvine1
Department of Computer Science, University of Nevada, Reno, USA1
Laboratoire Jean Kuntzmann, Grenoble, France1
Electrical and Electronics Engineering Department, Eskisehir Osmangazi University, Eskisehir, Turkey1
Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia1
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park1
Center for Automation Research, UMIACS, University of Maryland, College Park1
Digital Signal Corporation1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado1
Department of ECE, PES University, Bengaluru-560085, India1
Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates1
Pasadena, USA1
Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia1
UTM-Big Data Center, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Ryerson Multimedia Research Laboratory, Ryerson University, Canada1
School of Computer, Beijing Information Science and Technology University, Beijing, China1
The Experimental Teaching Center of Electronics information and Control, School of Automation, Beijing Information Science and Technology University, Beijing, China1
Chinese Academy of Sciences, Xi'an, Shaanxi, P.R. China1
OpenLab, School of Computing Science, The University of Newcastle, Newcastle upon Tune, United Kingdom1
Hochschule Darmstadt, CASED and Fraunhofer Institute for Computer Graphics (IGD), Germany1
Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, 021151
College of Computer & Information Sciences, Northeastern University, Boston, MA, 021151
Research, MVTec Software GmbH, Munich, Germany1
Faculty of Informatics, Technical University of Munich, Munich, Germany1
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong1
Department of Mathematics, University of Houston, Houston, TX 77204, USA1
Surf Sara BV, Science Park 140, Amsterdam, The Netherlands1
Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand1
Institute for Information and System Sciences, Science and Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China1
School of Information Science and Technology, Yunnan Normal University Kunming, 650092, China1
UC Berkeley / ICSI, Berkeley, CA., USA1
Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway1
University of St Andrews, St Andrews, United Kingdom1
Samsung Electronics1
University of North Carolina at Charlotte, USA1
Xidian University, China1
Key Lab. of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, China1
School of Economics and Management, University of Chinese Academy Sciences, Beijing, China1
Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing, China1
Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China1
Sun Yat-sen University, Guanghou, China1
Forensics and Security Lab, Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore1
Robotic Center, Mines ParisTech, 75272, France1
Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea1
Honda R&D Co., Ltd, Wako, Japan1
Department of Intelligent Multimedia, ISIR of Osaka University, Osaka, Japan1
The State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China1
West Virginia University, Morgantown, WV1
Ajou Univ.1
Nokia Bell-Labs, Madrid, Spain1
HCL Technologies Ltd. Chennai, Tamilnadu1
Department of Electronics Engineering, Pusan National University, Busan, Korea1
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Texas State University, San Marcos, TX, USA1
University of Oxford & University of Trento, Oxford, United Kingdom1
École Polytechnique Fédérale de Lausanne & University of Trento, Lausanne, Switzerland1
Aerosp Mech & Manuf Eng, RMIT University, Melbourne, Vic, Australia1
School of Computer Science, University of Birmingham, Birmingham, United Kingdom1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China; Institute of Computing Technology, CAS, 100080, China. wgao@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. clwang@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. xlchen@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China. wangqi@jdl.ac.cn1
University of California, Santa Barbara, GOLETA, CA, USA1
Leibniz Universität Hannover & German National Library of Science & Technology (TIB), Hannover, Germany1
University of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, People’s Republic of China1
The University of Texas at Austin, Austin, USA1
Faculty of Engineering, Computer Engineering Department, Akdeniz University, Dumlupinar Bulvari, Turkey1
IRCICA, Parc Scientifique de la Haute Borne, Lille 1 University, Villeneuve d’Ascq, France1
School of Computer Science, University of Adelaide, Adelaide, Australia1
Department of Computer Science, University of Bath, Bath, UK1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
Department of Electrical and Computer Engineering, National University of Singapore1
School of Software, Beijing Institute of Technology, China1
School of Electronics Engineering and Computer Science, Peking University, Peking, China1
School of Information Science Meisei University, Tokyo, Japan1
University of Ulm, Universität Ulm, Ulm, Germany1
College of Computer Science, Chongqing University, 400030, China1
College of software, Chongqing University of Posts and Telecommunications, 400065, China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China and Department of Mathematics, Menoufia University, Egypt1
University of California, Santa Barbara, CA1
Computer Science Dept., Columbia University, USA1
Computer Science Dept., SUNY Stony Brook, USA1
The Graduate University for Advanced Studies (Sokendai), Japan1
Psychological Research and Consulting Center, Southwest Jiaotong University, Chengdu, China1
WesTest Engineering Corp., Farmington, Utah1
GMATEK, Inc., Annapolis, Maryland1
Rensselaer Polytechnic Institute1
Robotics and Computer Vision Lab, KAIST, Korea1
LITIS EA 4108, University of Rouen, France1
ICube UMR 7357, CNRS, University of Strasbourg, France1
Department of Electrical and Computer Engineering, Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, 21589, Saudi Arabia1
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China1
Computer Vision Team, ARS Traffic & Transport Technology, Trivandrum, India1
Department of Mechatronics Engineering, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia1
Dalian University of Technology, Liaoning Province1
Purdue University, West Lafayette, IN1
Intel Corporation, Santa Clara, CA1
SICK AG, Hamburg, Germany1
College of Automation, Shenyang Aerospace University, Shenyang, China1
ENSTA ParisTech, UIIS Lab, Blvd des Marechaux 128, 91762 Palaiseau, France1
University of Applied Sciences Fulda, Department of Applied Computer Science, Leipzigerstr. 123, 36036 Fulda, Germany1
Ajou University1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA1
College of Information and Control Engineering, China University of Petroleum Qingdao, 266580, China1
Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA1
Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany1
Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore1
IRDA Group, ADMIR Laboratory, Rabat IT Center, ENSIAS, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
LRIT, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark , NJ, USA1
Microsoft Research , Redmond, WA, USA1
Microsoft Visual Perception Laboratory, Zhejiang University, Hangzhou, China1
DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India1
Department of IT, UIT RGPV, BHOPAL, India1
Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Korea1
Department of Information Technology, Hansei University, Kyonggi, Korea1
School of Mechanical Engineering, Pusan National University, Pusan, Korea1
Department of Automotive Engineering, Seoul National University of Technology, Seoul, Korea1
Chemical, Managerial, Computer and Mechanics Engineering Department, DICGIM, University of Palermo, Italy1
Coll. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China1
School of Software, Sun Yat-Sen University, Guangzhou, China1
Graduate University of the Chinese Academy of Sciences, Beijing, China1
Computer Vision Center, Barcelona1
Department of Biological Sciences, University of Alberta1
School of Mathematical Sciences, Monash University, Melbourne , Australia1
JiangSu University of Science and Technogly, Zhenjiang, China1
School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China1
Al-Kindi Cryptography Research Laboratory, Institute for Mathematical Research, Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, Malaysia1
Queen’s University, Kingston, Canada1
OMRON Social Solutions Co., LTD, Kyoto 619-0283, Japan1
University of Oulu & Southeast University, Oulu, Finland1
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
Heilongjiang Bayi Agricultural University, Heilongjiang, China1
University of Portsmouth, Portsmouth, UK1
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China1
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel1
Department of Mathematics, Wayne State University, Detroit, MI, USA1
Department of Computer Science, Illinois Institute of Technology, Chicago, U.S.A.1
LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France1
Laboratory of LAGE, University of Ouargla, Algeria1
Artificial Intelligence Key Laboratory, of Sichuan Province, Zigong, Sichuan, 643000, P. R. China1
School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China1
University of California Irvine, Irvine1
COMSATS Institute of Information Technology, Lahore, Pakistan1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA1
Media Research Department, Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan1
Department of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom1
Department of Electrical Engineering, University of Souk-Ahras, Souk-Ahras, Algeria1
IDI, Norwegian University of Science and Technology (NTNU), Trondheim, Norway1
Santa Clara University, Santa Clara, USA1
Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic1
Department of Electrical and Computer Engineering, Duke University, NC, USA1
Department of Computer Science, Prince Sultan University, Riyadh, Saudi Arabia1
School of Science, Jimei University, Xiamen, Fujian 361021, China1
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China1
Research Groups on Intelligent Machines, University of Sfax, Sfax, Tunisia1
Georgia Tech Institute for Robotics and Intelligent Machines, USA1
Faculty of Engineering, Washington University St. Louis, USA1
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Faculdade de Engenharia da Universidade do Porto (FEUP), Campus da FEUP, Porto, Portugal1
INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, Porto, Portugal1
Intel Corp., 4600 S. Dobson Road, Chandler, AZ 852481
Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 710119, Shaanxi, China1
School of Communication & Information Engineering, University of Electronic Science and Technology of China, Chengdu, China1
TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN1
E. U. P. Mataró, Avda. Puig Cadafalch 101, 08303 MATARO, SPAIN1
Key Laboratory of Road and Traffic Engineering, Ministry of Education, National Engineering Laboratory for Integrated Optimization of Road Traffic and Safety Analysis Technologies, Tongji University1
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea1
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan1
Electronics advanced development department, Toyota Motor Corporation, Toyota, 471-8571 Japan1
Osaka Institute of Technology, Osaka, 535-8585 Japan1
KU Leuven, ESAT PSI, iMinds, Leuven, Belgium1
General Electric Global Research, Niskayuna, NY, USA1
Temple University, Dept. of Electrical and Computer Engineering, Philadelphia, PA1
Rochester Institute of Technology, Dept. of Electrical and Microelectrical Engineering, Rochester, NY1
Universidad Nacional de San Agustín, Arequipa, Perú1
Computer Science Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil1
Universidad Católica San Pablo, Arequipa, Perú1
Institute of Information Science and Technologies, National Research Council, Pisa, Italy1
Institute of Structure of Matter, National Research Council, Rome, Italy1
General Motors Advanced Technical Center, Israel1
Department of Information Systems, University of Haifa, Israel1
Department of Computer Science, University of Haifa, Israel1
Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C.1
Beta Robots, Barcelona, Catalunya, Spain1
State Grid Inner Shizuishan Power Supply Company, Shizuishan, 753000, China1
School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China. luckzpz@seu.edu.cn1
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China. summer@seu.edu.cn1
Mimetic team, INRIA Rennes, Rennes, France1
University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany1
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea1
Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA1
Military Technical College, Cairo, Egypt1
School of Automation Science and Electrical Engineer, Beihang University, Beijing, China1
Chengdu Productivity Promotion Center, Chengdu 610000, China1
CSE, Park College of Engineering and Technology, Kaniyur, Coimbatore, Tamilnadu, India1
CSE, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India1
Department of Civil Engineering, University of Nottingham, Ningbo 315100, China1
Centre for Advanced Analysis, University College London, London, UK1
Department of Geographical Science, University of Nottingham, Ningbo 315100, China1
International Doctoral Innovation Centre, University of Nottingham, Ningbo 315100, China1
Innovative Information Industry Research Institute, Fujian Normal University, Fuzhou, 350300, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjing University), Fuzhou, 350121, China1
Department of Electrical Engineering, Federal University of Technology, Pato Branco, Paraná, Brazil1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Microsoft Research Asia, Beijing, China. fangwen@microsoft.com1
Microsoft Research Asia, Beijing, China. rxiao@microsoft.com1
The Chinese University of Hong Kong. wliu5@ie.cuhk.edu.hk1
Shanghai Jiaotong University, China. tydsh@sjtu.edu.cn1
Department of Computer Science, Harbin Institute of Technology, China, 1500011
Department of Computer Science, Kiel University, Germany1
Department of Computer Science & Software Eng., Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China1
University of Southern California, NVIDIA1
Computer Science and Engineering Department, IŞIK University, Şile, Turkey1
Pattern Recognition and Machine Intelligence Laboratory, IŞIK University, Şile, Turkey1
Department of Computer Science and Technology, University of Electronic Science and Technology of China1
Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China1
Computer Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China1
National Traffic Safety and Environment Laboratory, Chofu, Tokyo, Japan1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213. yunghui@cmu.edu1
Shenzhen Wave Group Suzhou R&D center, Suzhou, China1
Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China1
ECE Department, Carnegie Mellon University, USA. kumar@ece.cmu.edu1
ECE Department, Carnegie Mellon University, USA. raa@andrew.cmu.edu1
Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal1
Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Visual Computing Group, Microsoft Research Asia, Beijing, China. zhoulin@microsoft.com1
Visual Computing Group, Microsoft Research Asia, Beijing, China. i-dezhao@microsoft.com1
College of Information Engineering, Shenzhen University, P. R. China1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan1
TNLIST, Department of Automation, Tsinghua University, Beijing, 100084, China1
Yangzhou University, China1
Yangzhou University, China; Nanjing University of Science and Technology, China1
Aberdeen University, Aberdeen, United Kingdom1
Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden1
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden1
Department of Computer Scicence and Center for Visualization and Virtual Environments, University of Kentucky, Lexington KY 40507. etienne@cs.uky.edu1
The Hong Kong Polytechnic University1
Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands1
University of Technology, Sydney (UTS), Australia1
Information Sciences Institute, University of Southern California, Marina del Rey, USA1
LGI2P, Ecole des Mines Ales, Parc Scientifique Georges Besse, 30035 Nimes cedex 1, France1
Griffith University, Australia1
School of Computer Science, Unmanned System Research Institute, and with the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China1
College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia1
Robotics Aalborg U, Aalborg University, Denmark1
Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India1
Glasgow Caledonian University, Glasgow, United Kingdom1
Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA1
Department of Computer Science, City University of Hong Kong, Hongkong, China1
Centre for Vision, Speech and Signal Processing, Department of Electronic Engineering, University of Surrey, Guildford, U.K.1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
Department of Physiology, University of California, San Francisco, San Francisco, USA1
Department of Neurology, University of California, San Francisco, San Francisco, USA1
Department of Experimental Psychology, Oxford, UK1
Department of Cognitive Neuroscience, Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands1
Department of Electrical and Computer Engineering, Cornell University, USA1
Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France1
Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, Belgium1
Signal Processing Lab, EPFL, Lausanne, Switzerland1
Department of Automation, University of Science and Technology of China, Hefei, 230026, China1
Department of Computer Science, University of Pennsylvania, Philadelphia, PA1
Hewlett-Packard Labs, Palo Alto, CA1
Air Force Research Lab, Rome, NY1
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA1
Department of Applied Informatics and Multimedia, Asia University, Tai-Chung, Taiwan1
LM2S Research Laboratory, Charles Delaunay Institute, University of Technology of Troyes, Troyes, France1
Imagine, LIGM, Universite Paris-Est, France1
École Normale Supérieure, France1
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA1
Beijing Advanced Innovation Center for Imaging Technology, Beijing 100048, China1
Lane Department of CSEE, West Virginia University, Morgantown, WV 26506, USA1
College of Engineering and Design, Hunan Normal University, Changsha, China1
Centre for Vision, Speech and Signal Processing, University of Surregy, Guildford GU2 7XH, United Kingdom.1
Cornell University, School of ECE, USA1
Carnegie Mellon University, Department of ECE, USA1
Johannes Kepler University, Austria1
DSI, Università degli Studi di Milano, 20135 Milan, Italy1
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran1
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Centrum Wiskunde & Informatica, Science Park, XG Amsterdam, NL1
University of Edinburgh, Edinburgh, UK1
University of Catania, Viale, Andrea Doria, Catania, IT1
Dept. of Electronic Engineering, Tsinghua University, Beijing P. R. China1
Institute of Computing Technology, The Chinese Academy of Sciences, Beijing, P.R. China1
Dap—University of Sassari, Italy1
Dsl—University of Sassari, Italy1
Institute of Computing, University of Campinas, Campinas-SP, CEP, Brazil1
Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil1
Halmstad University1
Massachusetts Institute of Technology, Cambridge, MA 02139, USA1
The Rowland Institute at Harvard, Harvard University, Cambridge, MA 02142, USA1
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, 410073, China1
National University of Singapore & SAP Machine Learning, Singapore, Singapore1
Image Understanding Group, Technische Universität München, Garching, Germany1
Cognitive Neuroinformatics Group, University of Bremen, Bremen, Germany1
Perceptual Computing Lab, Waseda University, Tokyo, Japan1
Inria Méditerranée, France1
Network Center, Huizhou University, Huizhou, China1
School of Advanced Computing, Sun Yat-sen University, Guangzhou, China1
School of Software, Sun Yat-sen University, Guangzhou, China1
Department of Computer Science and Engineering, PEC University of Technology, Chandigarh, India1
University of Twente, The Netherlands1
University of Kent, UK1
The University of Twente, The Netherlands1
Département d’Informatique, Université de Moncton, Moncton, Canada1
LabSIE Laboratory, FPO of Ibn Zohr University, Agadir, Morocco1
LAVETE Laboratory, FST of Hassan 1st University Settat, Settat, Morocco1
Department of Information Systems, University of Malaya, Kuala Lumpur, Malaysia1
Department of Computer Science, Faculty of Computer Science and Information Technology, Putra University, Malaysia1
School of Information Technology, Deakin University, Geelong, Vic., Australia1
College of Information Engineering, Jimei University, Xiamen 361021, Fujian Province, China1
LIUM, University of Maine1
Hefei University of Technology, China, China1
National Security, Intelligence and Reconnaissance Division (NSID), Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
School of Computer Science, China University of Geosciences, Wuhan, China 4300741
TNO and Leiden University, The Netherlands1
TNO Netherlands1
Dept. of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Co, Louth Ireland1
Department of Computer Science & Engineering, SNS College of Technology, Coimbatore, India1
School of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea, 120-7491
Computer Science Department, Indian School of Mines, Dhanbad, India1
Member, Education & Research, Infosys Ltd., Chandigarh, India1
National ICT Australia, Locked Bag 8001, Canberra, Australia. Email: lars.petersson@nicta.com.au1
RSISE, Australian National University, ACT 0200, Australia. Email: gary.overett@rsise.anu.edu.au1
UBTech Sydney Artificial Intelligence Institute, Sydney, NSW, Australia1
Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, 541004, China1
Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China1
Cookpad, Inc., Tokyo, Japan1
Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, Korea1
National Kaohsiung Marine University1
École polytechnique fédéral de, Lausanne (EPFL), Switzerland1
Academy of Broadcasting Science, China1
Department of Computer Science, University of Liverpool, Liverpool, L69 3BX, United Kingdom1
School of Stomatology, Stomatology Hospital, Peking University, Beijing, China1
Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China1
USens Incorporation, San Jose, CA, USA1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA1
Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA1
School of Management, Chengdu University of Information Technology, Chengdu, China1
School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China1
Robotics and Microsystem Center, China1
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong1
Institute of neuroscience, Soochow University, China1
Collaborative&Innovative Centre for Educational Technology (CICET) Central China Normal University, Wuhan, China1
National Engineering Research Centre for E-Learning, Central China Normal University, Wuhan, China1
School of Electronics Engineering, Kyungpook National University, Republic of Korea1
University of Bolton, Bolton, UK1
South Westphalia University of Applied Sciences, Soest, Germany1
Computer Science College, Xi’an Polytechnic University, Xi’an, China1
China-ASEAN Research Institute of Guangxi University, Nanning, China1
Division of Surgery and Interventional Science, University College London Medical School, London, U.K.1
University of Sfax, Tunisia, Advanced Technologies for Medicine & Signals1
Faculty of Information Technology, Barrett Hodgson University, Karachi, Pakistan1
Laboratoire Hubert Curien, UMR5516, Université Jean Monnet, Saint-Etienne, France1
Université de Lyon, CNRS, LIRIS, UMR5205, Université Lyon 1, Lyon, France1
ISIP, University of Luebeck, Luebeck, Germany1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: John.Hannah@ed.ac.uk1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: peter@square-eyes-software.co.uk1
GET Lab, University of Paderborn, Paderborn, Germany1
Department of Electrical Engineering and Information System, The University of Tokyo, Japan1
Department of Electronic Engineering, The University of Tokyo, Japan1
National Taipei University of Technology, Taipei, Taiwan1
Department of Electrical, Computer, Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA. jiq@rpi.edu1
Zenuity, Gothenburg, Sweden1
Veoneer Research, Våraårda, Sweden1
McGill University, Montreal1
Harvard Medical School, Boston1
Robotics Institute, Carnegie Mellon University. Pittsburgh, PA 15213, USA1
Humanoid Research Center, Dep. of ME, KAIST, Daejeon, 34141, Korea1
Naver Labs, Seongnam, 13561, Korea1
The University of Suwon, Hwaseong-si Gyeonggi-do, Korea1
Linyi University, Linyi, China and The University of Suwon Hwaseong-si Gyeonggi-do, Korea1
Department of Radioelectronics, Brno University of Technology, Czech Republic1
EBIS, spol. s r.o. & Department of Radioelectronics, Brno University of Technology, Czech Republic1
Instituto de Telecomunicações and Instituto Superior Técnico, Universidade de Lisboa, Portugal1
The military service of Taiwan1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA1
Program of Robotics and Autonomous Vehicles, University of Michigan, Ann Arbor, MI, USA1
Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales, Australia1
Department of Computer Science (CPSD), University of Engineering and Technology (UET), Taxila1
Department of Computer Science and Information Technology (CS&IT), Mirpur University of Science and Technology (MUST)1
Top Key Discipline of Computer Software and Theory, Zhejiang Provincial College, Zhejiang Normal University, Jinhua, China1
Arcelor Mittal Maizières Research SA, France1
ECE Department, Rice University, Houston, USA1
Chung-Shan Institute of Science and Technology, Taiwan, ROC1
Department. of Electrical Engineering, National University of Kaohsiung, Taiwan, ROC1
Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, USA1
Shenzhen Key Laboratory of Data Vitalization, Research Institute in Shenzhen, Beihang University, Shenzhen, China1
Electrical and Computer Engineering, George Mason University, Fairfax, VA 22030, USA1
Computer Vision and Multimodal Computing, MPI Informatics, Saarbruecken1
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu 611731, China1
School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu 611731, China1
Computer Science Department, Dartmouth College, Hanover, USA1
Curtin University Department of Mechanical Engineering, Perth, Western Australia 60121
Department of Mechanical Engineering, Curtin University, Perth, Western Australia 60121
Istituto Italiano di Tecnologia & Università di Verona, Genova, Italy1
Istituto Italiano di Tecnologia (IIT), Genova, Italy1
State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
National Engineering Research Center for Multimedia Software and the School of Computer, Wuhan University, Wuhan, China1
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania1
Pattern Analysis and Machine Intelligence Lab, Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India1
Department of Electrical Engineering, University of New Orleans, New Orleans, LA70148, U.S.A1
Department of Computer Science, University of California, Irvine, USA1
Cornell University, Ithaca, NY1
CVIP Lab, University of Louisville, Louisville, KY 40292. e-mail: farag@cvip.uofl.edu1
Department of Mathematics, Ewha Womans University, Seoul, Korea1
Electronics Department, Faculty of Electrical Engineering and Information Technology, University of Oradea, 410087, Universitatii 1, Romania1
Department of Applied Mathematics, Beijing Jiaotong University, Beijing, People’s Republic of China1
Xinjiang Vocational and Technical College of Communications, Wulumuqi, People’s Republic of China1
School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, People’s Republic of China1
Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany1
School of Computer Science and Technology, Guangdong University of Technology, China1
College of Mathematics and Informatics, South China Agricultural University, China1
SET Corporation, Arlington, VA, USA1
Collage of Engineering, Air Force Engineering University, Xi'an, Shaanxi province, 710038, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 1108191
College of Applied Science, Beijing University of Technology, China1
PRIS Lab of Beijing University of Posts and Telecommunications, Beijing 100876; Chongqing Three Gorges University, Chongqing 404000. E-mail: niexf@tom.com1
Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
Department of Electrical EngineeringComputer Vision Laboratory, Linköping University, Linköping, Sweden1
IBM Research1
Engineering Department, Raja University of Qazvin, Iran1
School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China1
B-DAT Laboratory, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Department of Electrical & Computer Engineering, Ryerson University, Toronto, Canada1
Military Transportation University, Tianjin, China1
Department of Psychology and York Neuroimaging Centre, University of York, York, United Kingdom1
Adobe Systems, Inc.1
Mainz University, Germany1
Carleton University, Canada1
University of Arizona, Tuscon, AZ, USA1
University of Miami, Coral Gables, FL, USA1
National Taiwan Normal University, Taiwan1
Honda Research Institute Europe GmbH, Offenbach, Germany1
Department of Computer Science and Engineering, International Islamic University Chittagong, Bangladesh1
Hong Kong Baptist University and BNU-HKBU United International College1
Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China1
Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Korea1
Computer Vision and Machine Learning Research Group, School of Engineering, University of Central Lancashire, Preston, UK1
Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy1
Université Côte d'Azur1
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, 76131, Germany1
School of Information Science and Technology, ShanghaiTech University, Shanghai, China1
Institute of System Engineering and Control, Beijing Jiaotong University, Beijing, China1
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong1
Xi'an Shiyou University, China1
Xi'an University of Technology, China1
Intel Labs Pittsburgh, 4720 Forbes Ave. Suite 410, PA, USA1
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
College of Computer Sciences, Zhejiang University, Zhejiang, China1
Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, China1
Dept. of Computer Science and Information Eng., National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
State Grid Zhejiang Xianju Power Supply Co., Ltd, Taizhou, China1
State Grid Zhejiang Electric Power Research Institute, Hangzhou, China1
Sharif University of Technology, Iran and iMinds, Gent University, Belgium1
Kontrol Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey1
MERC, Department of Computer Science, City University of Hong Kong, Hong Kong, People’s Republic of China1
NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
Beijing Key Laboratory of Digital Media, School of Computer Science and Technology, Beihang University, Beijing, China1
Shenzhen Key Lab for CVPR, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China1
Graduate School at Shenzhen, Tsinghua University Shenzhen, China1
The University of North Carolina at Chapel Hill, Chapel Hill, USA1
Bundeswehr University Munich, Neubiberg, Germany1
School of Electrical and Computer Engineering, Oklahoma State University (OSU), USA1
Provincial Key Laboratory for Network Based Intelligent Computing, University of Jinan, Jinan, People’s Republic of China1
Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, People’s Republic of China1
Department of Radiology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China1
Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China1
Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA1
School of Communication, Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland1
CNRS LTCI; Télécom ParisTech1
Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI1
Microsoft Corporation1
Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Amity University, Noida, India1
Infosys Limited, Bhubaneswar, India1
University of Beira Interior1
University of Quebec1
UIUC1
School of Science, Southwest Petroleum University, Chengdu, China1
Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia1
Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria1
Informatics Laboratory of Paris6 (LIP6)1
Escuela de Negocios Gastronomicos, Universidad Panamericana, Aguascalientes, Mexico1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. peterson@math.colostate.edu1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. kirby@math.colostate.edu1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. chang@math.colostate.edu1
Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, China1
School of Software Engineering, Xi'an jiaotong University, Xi'an, China1
Department of Computer Science, Loughborough University, Loughborough, U.K.1
Libera Universit di Bolzano-Bozen, Itally1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Xili, Shenzhen, People’s Republic of China1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Goethe University, VSI Lab, Frankfurt, Germany1
IPSRC, Waseda University, Kitakyushu, Japan1
School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China1
Intelligent Recognition and Image Processing Lab. (IRIP), Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China1
Harbin Institute of Technology Shenzhen Graduate School, University Town, Shenzhen, China1
College of Economics, Shenzhen University, Shenzhen, China1
Computer Vision Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia1
Department of Electrical Engineering, Faculty of Engineering, Urmia university, Urmia, Iran1
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, China1
University of Rijeka, Faculty of Engineering, Croatia1
Centrum Wiskunde & Informatica (CWI), The Netherlands1
DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile1
Futurewei Technologies Inc., USA1
Amazon, USA1
Yahoo, USA1
University of Mainz1
Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya1
Barcelona Supercomputing Center (BSC)1
Institute of Automation Chinese Academy of Sciences, Beijing, China 1001901
Universidad de Concepción, Department of Electrical Engineering, Concepción, Chile. Email: mfigueroa@die.udec.cl1
University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA. Email: seth@cs.washington.edu1
Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand1
LEAD Graduate School and Research Network, University of Tübingen, 72074 Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany1
Olaworks, Inc., Seoul, Republic of Korea1
Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea1
The University of Sydney1
NTT Service Evolution Laboratories, Kanagawa, Japan1
SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea1
Department of Computer Science, Illinois Institute of Technology, Chicago, IL 606161
School of Automation and Electrical Engineering, University of Science & Technology Beijing, Beijing, China1
School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, France1
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China1
Department of Computing, The Hong Kong Polytechnic University1
Visual Information Laboratory, University of Bristol, BS8 1UB, UK1
The Organization of Advanced Science and Technology, Kobe University, Kobe, Japan1
RIEB, Kobe University, Kobe, Japan1
Department of Arts and Humanities, College of Business, Arts and Social Sciences, Brunel University London, Uxbridge, UK1
Product/Industrial Design, Northumbria School of Design, Northumbria University, Newcastle upon Tyne, UK1
Department of Design, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK1
School of Information and Computer Technology Sirindhorn International Institute of Technology, Thammasat University, Thailand1
Sherbrooke University, Sherbrooke, Que´bec, Canada1
Center for Advance Imaging Innovation and Research, New York University, New York, NY, USA1
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA1
Department of Computer Science, University of Warwick, Coventry, U.K.1
Laboratoire MIA, University of La Rochelle, La Rochelle, France1
Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
Department of Software and Computer Engineering, Ajou University, Suwon, Korea1
Universidad de Vigo, Spain1
University of Kent1
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada1
Department of Mathematics, Colorado State University, Fort Collins, 80523, USA1
Data Science Department, Worcester Polytechnic Institute, Worcester, MA, USA1
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China1
School of Information Science and Technology, and the Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University, Guangzhou, China1
Identity, Privacy and Security Institute, Department of Electrical and Computer Engineering, University of Toronto, ON, Canada, M5S 2E41
Nokia Research Center, No.5 Dong Huan Zhonglu, BDA, Beijing, 100176, China1
Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan1
University of California, Los Angeles, USA1
Temple University, USA1
Ecole Nationale Supérieure de Techniques Avancées ParisTech, 91762 Palaiseau, France1
TuSimple, San Diego, USA1
Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China1
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Faculty of Engineering and Information Technologies, UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, The University of Sydney, Darlington, NSW, Australia1
Department of Computer Science, University of Southern California, Los Angeles, CA, United States1
Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China1
Computer Vision Laboratory, DAP, Universita di Sassari, Alghero 07041, Italy1
Shandong Academy of Sciences, Jinan, China1
Department of Computer Science, Southern Illinois University, Carbondale, USA1
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China1
University of California, San Diego, San Diego, CA, USA1
Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China1
Henan Key Laboratory of Oracle Bone Inscriptions Information Processing, Anyang Normal University, Anyang, China1
School of Computer and Information Engineering, Anyang Normal University, Anyang, China1
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China1
Department of Electronic and Computer Engineering, Peking University, Shenzhen, China1
School of Electronics Engineering and Computer Science, Peking University Shenzhen Graduate School, Shenzhen, China1
Daimler AG Sindelfingen, Germany1
Electrical Engineering, Kookmin University, Seoul, Korea1
BK21 Information Technology, Seoul National University, Seoul, Korea1
Department of Computer Engineering, Umm Al-Qura University, Mecca, Saudi Arabia1
School of Computing and Communications, Lancaster University, UK and R&D department, Rinicom Ltd., Riverway House, Morecambe Road, Lancaster, Lancashire LA1 2RX, UK1
College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology1
Department of Psychology, Emory University, Atlanta, GA 30322, USA1
Department of Human-Machine Communication at the Faculty for Electrical-and Information Engineering, Technische Universität München (TUM), Germany phone: +491
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States1
Samsung Advanced Institute of Technology, Gyeonggi-do, Korea1
CEDRIC, Conservatoire National des Arts et Métiers, Paris, France1
Thales Land and Air Systems, Élancourt, France1
CNRS, Laboratoire d’Informatique de Paris 6, LIP6, Sorbonne Université, Paris, France1
Department of Computer Science and Technology, NUDT, Changsha, 410073, China1
Beijing University of Posts and Telecommunications, International School E-Commerce Engineering with Law, Beijing, China1
Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China1
LAMIA, University of French West Indies and Guiana, EA 4540, Pointe-à-Pitre, France1
Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France1
Department of Electronics, BVM Engineering College, Vallabh Vidhyanagr, Anand, Gujarat, India1
School of Technology, RK University, Rajkot, India1
Department of Computer Science, University of Texas at San Antonio, San Antonio, United States1
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of China, Hefei University of Technology, Hefei, China1
Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany1
Departments of Art, Youngstown State University, Youngstown, OH 44555, USA1
Departments of Psychology, Youngstown State University, Youngstown, OH 44555, USA1
Department of Electrical Engineering, Indian Institute of Science, Bangalore-12, India1
Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan1
Doctoral School on Electronics, Telecommunications and Information Technology, University “Politehnica”, Bucharest, Romania1
University of Leicester, Department of Engineering, UK1
Chulalongkorn University Bangkok, Thailand1
Hanoi National University of Education, Vietnam1
Hanoi University of Science & Technology, Vietnam1
La Rochelle University, France1
Hanoi University of Agriculture, Vietnam1
Hanoi University of Science & Technology, Vietnam and La Rochelle University, France1
Imperial College London, Department of Electrical Engineering, London, UK1
Fac. of Mathematics and Computer Sciences, University of Science, Ho Chi Minh City, Viet Nam1
College of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, China1
Cooperative Medianet Innovation CenterShanghai Jiao Tong University1
School of Software and Electrical Engineering, Swinburne University of Technology, Australia1
Korea Institute of Industrial Technology, Cheonan, Korea1
Department of Computer Science and Engineering, Dankook University, Yongin-si, Korea1
Department of Applied Computer Engineering, Dankook University, Yongin-si, Korea1
CCIA Department, UPV EHU, Computational Intelligence Group, San Sebastian, Spain1
Division of Psychiatry, School of Medicine, University of Crete, Heraklion, Greece1
Guangzhou Institute of Modern Industrial Technology, South China University of Technology, Guangzhou, China1
Department of Zoology, Michigan State University, East Lansing, 48824, USA1
Transportation Active Safety Institute (TASI) and the Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202 USA1
Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA1
CNRS IEF UMR 8622, Université Paris-Sud, Paris, France1
Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada1
Department of Orthopedic Surgery, British Columbia Children’s Hospital, Vancouver, Canada1
Dynamixyz, Rennes, France1
LIFL (UMR CNRS 8022), Institut Mines-Télécom/TELECOM, Lille 1, France1
California State University, Bakersfield, CA, USA1
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
University of Houston, Houston, TX, China1
Carneige Mellon University, Pittsburgh, USA1
School of Information Science and Electronic Engineering, The University of Queensland, Brisbane, QLD, Australia1
Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA1
School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China1
Institute for Infocomm Research Agency for Science, Technology and Research (A∗STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 1386321
Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX, USA1
Regional Centre IHRD, Thiruvananthapuram, India1
Department of E.C.E, JNTUACE, Ananthapuramu, India1
Department of E.C.E, MITS, Madanapalle, India1
Department OF E.C.E, JNTUA, Ananthapuramu, India1
Multimodal Communication and Computation, University of Southern California, Playa Vista, USA1
Universität Ulm, Ulm, Germany1
University of Technology Sydney, Sydney, NSW, Australia1
SAP Innovation Center Network, Singapore1
Agency for Science, Technology and Research, Institute of High Performance Computing, Singapore1
Department of Computer Science, Effat University, Jeddah, Saudi Arabia1
Dept of Computer Science, The City University of New York, New York City, NY, USA1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. venu@cedar.buffalo.edu1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. zhizhang@cedar.buffalo.edu1
CUBRC, Buffalo, NY, USA. slowe@cubrc.org1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. tulyakov@cedar.buffalo.edu1
University of Denver, Colorado USA1
The Hong Kong University of Science and Technology and University of Helsinki1
Tübitak Bilgem İltaren, Ankara, Türkiye1
Department of Electronics and Communications Engineering, Cairo University, Egypt1
Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt and Department of Computer Science, Boston University, USA1
Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt1
NICTA / Australian National University, Canberra, Australia1
Australian National University / NICTA, Canberra, Australia1
Dept. of Computer and Communication Systems Eng., Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia1
Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya1
College of Computer and Information Sciences, Karachi Institute of Economics and Technology, Karachi, Pakistan1
Department of Software Technology and Enterprize, Korea University, Seoul, Republic of Korea1
University of St. Andrews, UK1
School of Computer, Beijing University of Posts and Telecommunications, Beijing, China1
School of Information, Singapore Management University, Singapore1
Agency for Science, Technology and Research, Singapore1
Fraunhofer IAIS, Germany1
University of Turin, Turin, Italy1
Dept. of Information Engineering, Xiangtan Vocational Technical College, 411102, China1
ECE Department, Carnegie Mellon University, USA. jheo@.cmu.edu1
Computer Science Department, Carnegie Mellon University, Pittsburgh, USA1
Department of Mathematics and Statics, Hanshan Normal University, Chaozhou, China1
Department of Computer Science and Engineering, Hanshan Normal University, Chaozhou, China1
Department of Computer Science and Engineering, Texas A&M University, College Station, U.S.A.1
School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.1
Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K.1
Department of Psychology, Bournemouth University, Bournemouth, U.K.1
Dept. of Computer Engineering Kuwait University1
Dept. of Electrical & Computer Engineering, Sultan Qaboos University1
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3. 10000 Zagreb, Croatia1
Research Center for Informatics, Indonesian Institute of Sciences, Jl. Jend. Gatot Subroto 10, Jakarta, Indonesia1
Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
The Computer Engineering Graduate Program, Faculty of Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
College of Information Science and Technology, Beijing Normal University, Beijing, P. R. China1
Tencent, Shanghai, China1
Osaka University, Osaka Prefecture, Japan1
Clarkson University, Potsdam, New York1
Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China1
CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France1
Guangzhou HKUST Fok Ying Tung Research Institute, The Hong Kong University of Science and Technology1
Minzu University of China, Beijing, China1
Nokia Bell Labs, Murray Hill, NJ, USA1
University College London, UK, Dept. of Electronic and Electrical Engineering1
UT Austin Computer Science Dept., TX 78712, USA1
UC Berkeley EECS and ICSI, CA 94720, USA1
Jiangsu Department of Water Resources, Nanjing, China1
Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni, Viale delle Scienze, 90128 Palermo, ITALY1
School of Information Technology and Electrical Engineering, The University of Queensland, Queensland, Australia1
Department of Computer Science, Texas State University, San Marcos, USA1
School of Computer Science, The University of Adelaide, Adelaide, Australia1
IDscan Biometrics Ltd, London E14 9QD, UK1
School of Mathematical Sciences, DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China1
University of Valenciennes, Valenciennes, France1
Computing Department, Imperial College London, UK. M.Pantic@imperial.ic.ac.uk1
Computing Department, Imperial College London, UK. M.F.Valstar@imperial.ic.ac.uk1
School of Computer Engineering, Hanshin University, Osan, Republic of Korea1
Yokohama National University, Yokohama, Japan1
Hokkai Gakuen University Sapporo, Japan1
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pompeu Fabra - UPF and Institució Catalana de Recerca i Estudis Avanats - ICREA, Roc Boronat, 138 - 08018 - Barcelona, Spain1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
School of Internet of Things Engineering, Jiangnan University, Wuxi, People’s Republic of China1
Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA1
Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, Roorkee, India1
Software Engineering Laboratory, Department of Computer Software, University of Aizu, Fukushima, Japan1
Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga, Japan1
College of Mathematics and Information Science, Wenzhou University, Wenzhou, China1
School of Economics, Beijing Technology and Business University, Beijing, China1
Johns Hopkins University1
Image and Video System Laboratory, Information Communication University, Korea1
Mobile Intelligent Autonomous Systems, Modelling and Digital Sciences, Council for Scientific and Industrial Research, South Africa1
Dept. Of ECE, University College of Engineering (KU), Warangal-15, INDIA1
Development Research Institute of Guangzhou Smart City, Guangzhou, China1
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China1
Toyota Research, Los Altos, CA, USA1
School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia1
National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki, Japan1
Shanghai Advanced Research Institute, CAS & Qiniu AI Lab, Shanghai, China1
Dept. of Electronic Engineering, Tsinghua University, Beijing, P.R. China1
School of Computer ScienceThe University of Adelaide1
Instituto de Sistemas e Robótica, Instituto Superior Técnico, Lisboa, Portugal1
Comput. Control Lab, Nanyang Technol. Univ., Singapore1
University of Lyon, LIRIS - CNRS, National Institute of Applied Sciences (INSA), Lyon, France1
Hasselt University, Hasselt, Belgium1
Automotive BU, RT-RK Computer-Based Systems LLC, Novi Sad, Serbia1
Curtin University, Perth, WA, Australia1
China University of Mining and Technology, Beijing, China1
Department of Computer Science, University of York, York, U.K.1
Anyvision Group, Belfast, U.K.1
Department of Computer Science and Engineering, The Ohio State University, Columbus, USA1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA1
School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK1
AT&T Labs Research, Middletown - NJ1
Dept. of Electronic Engineering, Tsinghua University, Beijing, China1
Vision & Sensing Group, Faculty of Information Sciences and Engineering, University of Canberra, Australia1
School of Engineering, CECS, Australian National University, Australia1
Carnegie Mellon University NASA Research Park #23, Moffett Field, CA 940431
The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China1
Faculty of Computers and Information, Ain Shams University, Cairo, Egypt1
Psychology at The University of Texas at Austin, 78712, USA1
National Key Laboratory of Parallel and Distributed Processing, Changsha, China1
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China1
Université Technologique de Compi`egne, 60200, France1
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Tržaška 25, 1000, Slovenia1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
Shenzhen Graduate School, Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China1
The Wellcome Trust Centre for Neuroimaging, UCL, 12 Queen Square, London WC1N 3BG, UK1
School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, People’s Republic of China1
State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China1
College of Information Engineering, Capital Normal University, Beijing,, China1
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, 08-10, 1 Fusionopolis Way, Connexis North Tower, Singapore, Singapore1
School of Software, Dalian University of Technology, 116620, China1
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany1
Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany1
Department of Computer Science, University of Freiburg, Germany1
JENOPTIK Optical Systems GmbH, Jena, Germany1
IBM Research - Almaden, San Jose, CA, USA1
UC San Diego, La Jolla, CA, USA1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Dipartimento di Scienze Umane, Università della Basilicata, Italy1
Istituto Nazionale di Geofisica e Vulcanologia, Sez. di Napoli Osservatorio Vesuviano, Italy1
Electrical Engineering Department, University of São Paulo, São Carlos, SP, Brazil. agonzaga@sc.usp.br1
Electrical Engineering Department, University of São Paulo, São Carlos, SP, Brazil. insilva@sel.eesc.usp.br1
UNIRP - Centro Universitário de Rio Preto, São José do Rio Preto, SP, Brazil. vmvolpe@unirpnet.com.br1
Department of Computer Science and Statistic, University of State of São Paulo, São José do Rio Preto, SP 15054000 Brazil; phone: 55-17-3221-2205; fax: 55-17-3221-2203; ines@ibilce.unesp.br1
Singapore Polytechnic, 500 Dover Road, Singapore 1396511
Singapore University of Technology and Design, 20 Dover Road, Singapore 1386821
University of Surrey, Guildford, United Kingdom1
UIB – Universitat de les Illes Balears, Palma de Mallorca, Spain1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu Beijing 100080, China1
Information Directorate, Air Force Research Laboratory, Rome, NY, USA1
Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Malaysia1
University of Central Florida 4000 Central Florida Blvd., Orlando, 328816, USA1
Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213, USA1
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China1
Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA1
PerceptIn1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China1
Department of Health Sciences, University of Leicester, UK, LE5 4PW1
Paris-Sud,Université Paris-Saclay, Orsay, France1
Université Paris-Saclay, Orsay, France1
Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain1
Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China1
College of Computer Science, Zhejiang University, Zhejiang, China1
Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu1
Institute of Data Science and Technology, Shandong Normal University, Jinan, China1
Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria1
Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium1
Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA1
Department of Arts, Youngstown State University, Youngstown, OH, USA1
American University of Beirut1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services1
National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
School of Electronic and Information Engineer, South China University of Technology, Guandong, China1
VIT University, India1
Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China1
The University of Tokushima, Tokushima 770-8506, Japan; School of Information Engineering, Beijing University of Posts and Telecommunications Beijing 100876, China1
The University of Tokushima, Tokushima 770-8506, Japan. Email: kuroda@is.tokushima-u.ac.jp1
Centre for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland1
Department of Computer Science, Middlesex University London, London, UK1
Department of Computer Science, University of Exeter, Exeter, UK1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Electrical and Computer Engineering Department, Semnan University, Iran1
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Iran1
Biomedical Engineering Department of the School of Electrical and Computing Engineering, and the Biomedical Engineering Centre, State University of Campinas (UNICAMP), Campinas, Brazil1
ECE Department, Northeastern University, Boston, MA, USA1
ETH Zürich, Zürich1
Teleinfrastructure R&D Lab, Technical University of Sofia, Bulgaria1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Princeton University &Microsoft, Princeton, NJ, USA1
Microsoft &University of Washington, Redmond, WA, USA1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
University of Balamand, Souk El Ghareb, Lebanon1
University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France1
University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France1
Collaborative Innovation Center of Novel Software Technology and Industrialization, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
Research Center for Information Technology Innovation and Institute of Information Science, Academia Sinica, Taipei, Taiwan1
Dept. Electrical and Computer Engineering, Iowa State University, Ames, IA, USA1
Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA1
Department of Computer Science, University of California at Riverside, Riverside, CA, USA1
Shahrood University of technology, Shahrood, Iran1
Iran University of Science and Technology, Tehran, Iran1
Institute of Information Technology and Network Security, People’s Public Security University of China, Beijing, China1
University of Helsinki, Finland1
Robert Bosch GmbH, Abstatt, Germany1
OFFIS, Oldenburg, Germany1
Traffic Operations & Safety Laboratory, University of Wisconsin-Madison, Madison, WI, USA1
School of Information Engineering, Wuhan Technology and Business University, Wuhan, China1
Management School, Jinan University, Guangzhou, China1
National Engineering Research Center for Water Transport Safety, Traffic Operations & Safety Laboratory, Wuhan University of Technology, University of Wisconsin-Madison, Wuhan, Madison, WI, ChinaUSA1
Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. sungwonp@andrew.cmu.edu1
Motilal Nehru National Institute of Technology, Allahabad, India1
The University of Electro-Communications, Tokyo, Japan1
Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland1
MIT-IBM Watson AI Lab, Cambridge, MA, USA1
Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia1
CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico1
Seoul National University, Suwon, Gyeonggi-do, Rebublic of Korea1
Seoul National University, Suwon-si, Gyeonggi-do, Rebublic of Korea1
ICMC-USP, São Carlos, São Paulo, Brazil1
Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil1
Adjunct, Effat University, Jeddah, Saudi Arabia1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, USA1
School of Computer Science, Wuyi University, Jiangmen, China1
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, Shenzhen, China1
Beijing Sesame World Co., Ltd, Beijing, China1
Center for Advanced Studies in Identity Sciences, Clemson University1
Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington1
School of Computer Engineering, Nanyang Technological University, Singapore. astjcham@ntu.edu.sg1
School of Computer Engineering, Nanyang Technological University, Singapore. mtpham@ntu.edu.sg1
Faculty of Electrical Engineering, University of Technology MARA, Shah Alam, 40450 Selangor, Malaysia1
Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia1
Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia1
Bilişim Teknolojileri Enstitüsü, Tübitak BİLGEM, Kocaeli, Türkiye1
National defense acquisition and system engineering management, National University of Defense Technology, Changsha, Hunan, P.R. China1
Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh1
School of Computer Science and Software Engineering, University of Western Australia, Crawley, Australia1
College of Engineering & Computer Science, Australian National University, Canberra, Australia1
Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia1
Human-Centered Technology Research Centre, University of Canberra, Bruce, Australia1
Center for Computer Engineering Studies, Faculty of Electrical Engineering, Universiti Teknologi Mara Shah Alam1
Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan1
University of Western Australia, Perth, WA6009, Australia1
Computing, School of Science and Engineering, University of Dundee, Dundee, UK1
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK1
UCSD, San Diego, USA1
Oxford University, Oxford, UK1
CCCE & CS, Nankai University, Tianjin, China1
Karlsruhe Institute of Technology (KIT), Germany1
Istanbul Technical University (ITU), Turkey1
Laboratory of Electronics (EμE), FSM, Monastir, Tunisia1
Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France1
CES Laboratory, ENIS, University of Sfax, Sfax, Tunisia1
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia1
Centre for Artificial Intelligence and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Center for Visual Computing, Ecole Centrale de Paris, France1
Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA1
School of New Media Art and Design, Beihang University1
Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary1
School of Mechanical & Electrical Engineering, Longyan University, Fujian, China1
Department of Audit, Jiaying University, Guangdong, China1
School of Computer, Jiaying University, Guangdong, China1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Center for Development of Advanced Computing, Mumbai, India1
Computational Imaging Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
College of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan, 430074, China1
Institute of Systems Engineering, Southeast University, Nanjing, China1
Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, UK1
ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven1
RWTH Aachen University, Aachen1
LiberoVision AG, Zurich1
Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia1
MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia1
Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman1
Digital Research Center of Sfax, Sfax University, Sfax, Tunisia1
Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA1
Department of Computer Science, ETH Zurich, Switzerland1
School of Sociology, China University of Political Science and Law, Beijing 102249, China1
Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria1
University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria1
Department of Computer Engineering, Computer Science, University of Louisville, Louisville, USA1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Imense Ltd, Cambridge, UK1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
College of Computer Science, Shenzhen University, Shenzhen, Guangdong, China1
School of Computer Science and Technology, Shandong University, Jinan, Shandong, China1
Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China. gqcui@uiuc.edu1
Institute of Electronic and Information Engineer in Dongguan Uestc, China1
Department of Geography, McGill University, Canada1
PES Center for Pattern Recognition, PESIT - Bangalore South Campus, India1
University of California at Los Angeles (UCLA), Los Angeles, CA1
Massachusetts Institute of Technology (MIT), Cambridge, MA1
San Diego State University (SDSU), San Diego, CA1
National University if Singapore, Singapore, Singapore1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA1
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, Stuttgart, Germany1
Weyond, Princeton, NJ, USA1
School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA1
School of Engineering and Information Technology, Deakin University, Geelong, Australia1
CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia1
The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, China1
University of Lincoln, Brayford Pool, Lincoln, UK1
University of Surrey Guildford, Surrey, UK1
Griffith University, Queensland, Australia1
TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany1
Microsoft1
SMILES Laboratory, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
SQUALIO Cloud Consulting, Riga, Latvia1
Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
Epson Research and Development Inc., San Jose, CA1
Philips Research Eindhoven, HTC 34, Netherlands1
University at Buffalo, SUNY, NY 14260, USA1
Department of Computer Science & Engineering, University of Washington, Seattle, USA1
RF Exploitation Branch, U.S. Air Force Research Laboratory, Dayton, OH, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea1
Chinese Academy of Sciences, Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
The University of Sheffield, Department of Computer Science, Sheffield S1 4DP, UK. a.samani@dcs.shef.ac.uk1
Yeungnam University, Gyeongsan-si, Korea1
Lockheed Martin Corporation, Orlando, FL, USA1
Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil1
UC Berkeley EECS and ICSI, CA, United States1
Department of Applied Optics and Photonics, University of Calcutta, 92 APC Road, Kolkata 700009, India1
Key Laboratory for Computer Vision and Pattern Recognition of Xiamen City, Huaqiao University, Xiamen, China1
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands1
University of Applied Sciences Western Switzerland, Sierre, Switzerland1
Dept. Mathematics and Computer Science, UB, Spain1
University of California Berkeley, USA1
NLPR, Institute of Automation, Chinese Academy of Sciences, China1
VNIT Nagpur-India1
Thapar University Patiala-India1
Manipal University Manipal-India1
Manipal University Jaipur-India1
ABV-IIITM Gwalior - India1
Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky USA1
Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, Kentucky USA1
University of Kentucky, Lexington, Kentucky USA1
Department of CSE, Jahangirnagar University, Dhaka, Bangladesh1
Department of CSE., Northern University. Dhaka, Bangladesh1
Department of ECE, East West University, Dhaka, Bangladesh1
College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China1
R. V. College of Engineering, Bengaluru, India1
R.V. College of Engineering, Bengaluru, India1
Department of Computer Science, George Mason University1
A*STAR, Institute for Infocomm Research, Singapore, Singapore1
CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain1
School of Computer Science, Nanjing University of Posts and Telecommunications, Jiangsu, P.R. China1
School of Computing and Information Sciences, Florida International University and School of Computer Science, Nanjing University of Posts and Telecommunications, Jiangsu, P.R. China1
Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France1
Math Dept, Faculty of Science, Helwan University, Cairo-Egypt1
ETH Zürich, Switzerland and Microsoft1
MIT CSAIL and ETH Zürich, Switzerland1
Institute of Information and Control, Hangzhou Dianzi University, China1
CSD, University of Trento, Italy1
Centeye, Inc.1
Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN1
School of Computer Science, South China Normal University, Guangzhou, China1
Shaoguan University, Shaoguan, Guangdong, China1
Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan1
Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea1
Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China1
Department of Psychological Sciences, Birkbeck College, University of London, UK1
Govt. College of Engineering, Amravati India1
M.I.T. College of Engineering Pune, India1
360 AI Institute, Beijing, China1
Tencent YouTu Lab, Tencent Shanghai, China1
Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India1
INRIA Grenoble-Rhone-Alpes, Cedex1
Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology - Paraná (UTFPR), Pato Branco, Paraná, Brazil1
Cardiff University, Cardiff, UK1
Newcastle University, Newcastle, UK1
Southampton University, Southampton, UK1
Department of Psychology, Brunel University, School of Social Sciences, Uxbridge, UK1
Department of Psychology, University of Durham, Durham, UK1
School of Information and Control Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Freie Universität Berlin and Fraunhofer Fokus1
Institute for the Management of Information Systems, R.C. Athena1
Freie Universität Berlin1
Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing , China1
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China1
Comput. Sci., State Univ. of New York, NY, USA1
LIAMA, CNRS, Key Lab of Machine Perception (MOE), Peking University, Beijing, People’s Republic of China1
UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France1
School of Informatics, University of Edinburgh1
Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye1
Council for Scientific and Industrial Research,Pretoria,South Africa1
Department of Gastroenterology, Beijing Chao-Yang Hospital, Beijing, China1
School of Geosciences and Info-physics, Central South University, Changsha, China1
Memorial sloan kettering cancer center, medical physics, New York City, NY, United States1
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong1
Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France1
Université Grenoble Alpes, CNRS, LIG, Grenoble, France1
Peking University & Shanghai Jaio Tong University, Beijing, China1
Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France1
Vesalis, Clermont-Ferrand, France1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China1
National ASIC Design and Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China1
College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China1
Chinese Academy of Science1
Department of Mechanical & Industrial Engineering, Concordia University, Montreal, Canada1
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, P.R. China1
Department of Computer and Electrical Engineering, Ryerson University, Toronto, Canada1
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada1
China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China1
School of Information Technology, Madurai Kamarai University, Madurai, India1
Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India1
Computer Science and Engineering, St.Peter’s University, Chennai, India1
Computer Science and Engineering, Panimalar Engineering College, Chennai, India1
Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway1
Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea1
Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan1
College of Computer and Information Engineering, Henan Normal University, Xinxiang, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq1
Dept. of CSIE, National Taiwan University, Taipei, Taiwan1
Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan1
School of Economics and Management, Minjiang University, Fuzhou, Fujian, China, 4300731
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Dept. of Electrical & Computer Engineering, Birzeit University, West Bank, Palestine1
Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong1
Department of Information Engineering, Chinese University of Hong Kong1
Department of Information Engineering, Henan University of Science and Technology, Luoyang, China1
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK1
The center for neural computation, Hebrew university of Jerusalem, Israel 919041
Computer Science Division, University of Central Florida, Orlando, FL, USA1
GuangXi Cast Animation Company, Ltd., Nanning, China1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
School of Information Engineering, Xiangtan University, Xiangtan, China1
Centre for Quantum Computation & Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA1
Department of mechatronic technology of National Taiwan Normal University1
Department of Computer Science, Taipei Municipal University of Education1
Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain1
Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
GIPSA-lab, BP 46 - 38402 St Martin d'Heres - France1
Vesalis Sarl, 63000 Clermont-Ferrand, France1
University of Southern California, e-mail: uneumann@graphics.usc.edu1
University of Houston, e-mail: zdeng@cs.uh.edu1
University of Southern California / University of Houston, e-mail: sucontph@usc.edu1
Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia1
Robotics, Systems and Control Program at ETH Zürich, Switzerland1
School of Computer Science and Technology, Nanjing Normal University, Nanjing, People’s Republic of China1
School of Information Science and Engineering, Changzhou University, Changzhou, People’s Republic of China1
Qatar Computing Research Institute, Doha, Qatar1
Massachusetts Institute of Technology & ETH Zürich, Cambridge, MA, USA1
Massachusetts Institute of Technology, Cambridge, NB, USA1
Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China1
School of Computer Science and Technology, Hubei University of Science and Technology,Wuhan 437100, China, and the Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China1
Toyota Technological Institute at Chicago, Chicago, IL 60637. ramanan@tti-c.org1
Media Laboratory, Huawei Technologies Co., Ltd., Shenzhen, China1
School of Computing, University of Leeds, UK1
INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France1
Center for Automation Research and the Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ1
Computer Science Dept., Boston University, USA1
Sony Electronics Inc., San Jose, CA, USA1
Center for Ubiquitous Computing, University of Oulu, Oulu, Finland1
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia1
Department of automation, Southeast University, Nanjing, China1
Department of Mechanical and Electronic Engineering, Nanjing Forestry University, China1
Information Engineering Institute, Jimei University, No. 185 Yinjiang Road, Jimei District, Xiamen, China1
Navigation Institute, Jimei University, Xiamen, China1
National Institute of Pure and Applied Mathematics, Brazil1
Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
Research Division, Educational Testing Service, Princeton, NJ, USA1
Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy1
FRD, Toyota Research Institute, Ann Arbor, Michigan USA1
FRD, Toyota Research Institute, Ann Arbor, Michigan 48103 USA1
School of Engineering & Applied Science, Aston University, UK1
Malaviya National Institute of Technology, Jaipur, India1
Division of Biomedical Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR1
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR1
China Electric Power Research Institute, Beijing 100192, China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, P. R. China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia1
Department of Cognitive Science, School of Information Science and Technology, Xiamen University, Fujian, P. R. China1
University of York, York, United Kingdom1
University of Technology and Logistics, International Research Institute MICA, Hanoi University of Science and Technology1
Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India1
School of Informatic, Linyi University, 276005, China1
Safety & Security Engineering Group - DICMA, SAPIENZA - University of Rome, Rome, Italy1
Centre for Engineering Research, School of Engineering & Technology, University of Hertfordshire, College Lane Campus, Hatfield, Hertfordshire, AL10 9AB, UK1
Computer Science Department, State University of New York, Stony Brook, NY11794-4400, USA. E-MAIL: wbzhang2k@hotmail.com1
College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China. E-MAIL: jcmeng@uestc.edu.cn1
Dept. of Math., Shenzhen Univ., China1
Ames HCI Group, Moffett Field1
Schafer Corporation, Arlington1
The University of Texas at Dallas, Richardson1
Science Applications International Corporation, Chantilly1
National Institute of Standards and Technology, Gaithersburg1
Beijing Technology and Business University Beijing, China1
Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
Student Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium. e-mail: thomas.fabry@uz.kuleuven.be1
Department of Mathematics, Taiyuan University of Technology, Taiyuan, China1
School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea1
Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland1
Computer Science and Engineering Department, University of Connecticut, Storrs, CT 06269, USA1
Unit 75719 of the People's Liberation Army, Wuhan, China1
Department of Information Technology, Central China Normal University, Wuhan, China1
Department of Automation, School of Power and Mechanical Engineering, Wuhan University, China1
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Electrical Engineering, Universidad de Chile, Santiago, Chile1
Zhejiang Normal University, Jinhua, China1
Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China1
Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK1
Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India1
Department of Psychology, University of California Santa Barbara, Santa Barbara, CA 93109-9660, USA1
College of Computing & Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
Department of Computer Science, International Islamic University, Islamabad, Pakistan1
Computer Science Department, University of Georgia, Athens, GA, USA1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Technion - Israel Inst. of Technology, Haifa, 32000, Israel1
The Open University of Israel, Raanana, 43107, Israel1
Weizmann Institute of Science, Rehovot, 76100, Israel1
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China1
WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France1
Department of Computer Science, The University of Sheffield, Sheffield, UK1
Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia1
School of Physics and Electronic Engineering, Taishan University, Tai’an, China1
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France1
Cornell University, Ithaca1
Toyota Technological Institute Chicago, Chicago1
School of Computer Science and the Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China1
Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico1
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada1
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto , Toronto, Canada1
Carnegie Mellon University,Pittsburgh, PA1
Department of Electronics and Information Systems, Akita Prefectural University, Japan1
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, China1
Department of information and Communication Engineering, Kogakuin University, Japan1
Software Engineering Department, College of Technology, Firat University, Elazig, Turkey1
College of Technology, Firat University, Elazig, Turkey1
Electronic Engineering College, Changchun University, 130022, China1
Universitat Politecnica de Catalunya Barcelona, Catalonia/Spain1
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, Enschede, The Netherlands1
Technicolor, Paris, France1
MPI Informatics, Germany1
School of Pharmacy, Wenzhou Medical University, Wenzhou, China1
Department of Computer Science, University of Texas at Austin, Austin, USA1
Department of Psychology, University of Pittsburgh, Pittsburgh, USA1
Department of Electrical Engineering, The City College of New York, New York, USA1
Machine Vision Group, University of Oulu, PL4500, FI-90014 Oulun yliopisto, Finland1
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore1
Université de Lorraine, LORIA, UMR 75031
Institute of Information Science & Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan1
Universität Politecnica de Valencia, Valencia, Spain1
King's College, London, UK1
Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China1
Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan1
Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore1
RIKEN Brain Science Institute, Saitama, Japan1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Saitama, Japan1
Institute of Telecommunications, Teleinformatics, and Acoustics, Wroclaw University of Technology, Wroclaw, Poland1
SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Tencent AI Lab, Shenzhen, China1
Shenzhen Key Lab on Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Beijing University of Posts and Telecommunications, E-Commerce Engineering with Law in International School, China1
Beijing Jiatong University, China1
School of Electronic and Information Engg., Beihang University, Beijing 100191, China1
Institute of Informatics and Telecommunications, National Center for Scientific Research - “Demokritos”, Athens, Greece1
Department of Informatics, Ionian University, Corfu, Greece1
School of Control Science and Engineering, Shandong University, Jinan, People’s Republic of China1
University of Twente, Enschede, The Netherlands1
Binghamton University, Vestal, NY, USA1
Universidad de los Andes, Colombia1
University of Michigan, Ann Arbor, 48109-2122, USA1
Arizona State University, Tempe, 85287-5706, USA1
Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China1
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Los Alamos National Laboratory Los Alamos, NM 87545, USA1
Technical center for the Mechanical Industry (CETIM), Senlis, France1
College of Information Sciences and Technology and the Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA1
Computer Aided Diagnosis and Therapy Solutions, Siemens Medical Solutions, Inc., Malvern, PA1
Department of Computer and Information Science, University of Mississippi, University, MS1
Academic Plastic Surgery Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK1
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China, 2000621
A*STAR, Singapore, Singapore1
Imperial College London, UK1
City University of Hong Kong, Kowloon, Hong Kong1
School of Information Technology & Electrical Engineering, The University of Queensland, Brisbane, Australia1
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Department of Electronics Science and Technology, University of Science and Technology of China, Hefei, China1
Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China1
Interdisciplinary Graduate School, Energy Research Institute@NTU, Singapore1
Rolls-Royce@NTU Corporate Lab, Nanyang Technological University, Singapore1
NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal1
Division of Design of Intelligent Machines, Center for Development of Advanced Technologies, Algiers, Algeria1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia1
Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka1
IT - Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal1
CEFITEC - Centro de Física e Investigação Tecnológica, Faculdade de Ciência e Tecnologia, Caparica, Portugal1
Key Lab of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China1
Georgia Tech Research Institute, Atlanta, 30318 USA1
IA, CAS, Beijing, China1
University of Washington and Google Inc.1
Google Inc.1
Dept. of Electrical Engineering, National Chung Hsing University, Taiwan1
Institute for Deep Learning, Baidu, Sunnyvale, USA1
Department of Engineering Physics, Tsinghua University, Beijing, China1
School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China1
NOAA /NGDC, 325 Broadway, Boulder, CO 803051
Institute for Neuroscience and Muscle Research, The Children’s Hospital at Westmead, Sydney, Australia1
Department of Paediatrics, University of Melbourne, Melbourne, Australia1
Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia1
Computer Science at the University of Maryland, College Park, MD 207421
Micro and Nano Devices and Materials Branch in the Sensors and Electron Devices Directorate at the US Army Research Laboratory, Adelphi, MD 207831
Neuroscience and Cognitive Science Program at the University of Maryland, College Park1
The Key Laboratory of Embedded System and Services Computing, Ministry of Education, Tongji University, Shanghai 201804, P.R. China1
Swinburne University of Technology Sarawak Campus, Malaysia1
Shanghai university1
Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 751
Faculty of Electrical Engeneering, Warsaw University of Technology, Warsaw, Pl. Politechniki 11
UNIST, Korea1
SMU, Singapore1
Human Language Technology (HLT) Group, MIT Lincoln Laboratory, Lexington, Massachusetts USA1
School of Mathematical Sciences, Xiamen University, Xiamen, Fujian, China1
Department of Information Management, Tamkang University, New Taipei City, Taiwan1
Department of Industrial Design, Tatung University, Taipei 104, Republic of China1
Department of Computer Science and Engineering, Tatung University, Taipei 104, Republic of China1
École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland1
WillowGarage, Menlo Park, CA, USA1
TU Darmstadt, Germany. schiele@mis.tu-darmstadt.de1
TU Darmstadt, Germany. fritz@mis.tu-darmstadt.de1
TU Darmstadt, Germany. seemann@mis.tu-darmstadt.de1
University of Texas at Austin; Facebook AI Research, Austin, USA1
Dept of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong1
Division of Electronical Engineering, Hanyang University, Ansan, Republic of Korea1
Delhi Technological University, Delhi, India1
College of Economics and Center for Finance and Accounting Research, Shenzhen University, Shenzhen, China1
Department of Automation, Northwestern Polytechinical University, Xi’an, China1
School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey akarun@boun.edu.tr1
Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey hamdi.dibeklioglu@cmpe.boun.edu.tr1
Department of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China1
Smeal College of Business, Pennsylvania State University, University Park, PA, USA1
Department of Electronics, Vishwakarma Institute of Technology Pune, India1
School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China1
College of Science, Xi’an Shiyou University, Xi’an, China1
Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania1
University of Johannesburg, Johannesburg, South Africa1
Department of Electronic, Saad Dahleb University, Blida, Algeria1
Department of Electrical and Electronic Engineering, University of Bristol, United Kingdom1
Orthopaedic Biomechanics, Biomedical Engineering Department, Eindhoven University, Eindhoven, Netherlands1
Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom1
Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United Kingdom1
School of Psychology, University of Ottawa, Ottawa, Canada1
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada1
Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
Signal Processing Group, TU Darmstadt, Germany1
ICSI, UC Berkeley, USA1
MPI Informatics, USA1
Microsoft Research, Redmond, WA1
China University of Geosciences, Wuhan, China1
Center for Development of Advanced Technology, Algiers, Algeria1
Dept. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300131
Beckman Institute, University of Illinois, USA1
Department of Electrical and computer Engineering, Noshirvani University of Technology, Babol, Iran1
University of Massachusetts Dartmouth, Dartmouth, MA, USA1
Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Tohoku University, Japan1
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: YuLi_Xue@ee.buaa.edu.cn, moukyou@buaa.edu.cn1
Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA1
School of Mathematics and Information Science, Chang’an University, Xi’an, China1
National Taipei University of Technology, Taiwan1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
Institute of Digital Media, Peking University, Beijing 100871, China1
Evatix, Dhaka, Bangladesh1
University of Bristol,, UK1
BioMerieu, La Balme-les-Grottes1
TED, Moirans, France1
Thales Electron Devices (TED), Moirans, France1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan1
Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran1
School of Civil Engineering, Wuhan University, Wuhan, 430074, China1
Institute of Signal Processing, Tampere University of Technology, POBox 553, FIN-33 101, Tampere, Finland. e-mail: irek.defee@tut.fi1
Student Member, IEEE, Institute of Signal Processing, Tampere University of Technology, P.O.Box 553, FIN-33101, Tampere, Finland. phone: +358331154503; fax: +35833653087; e-mail: daidi.zhong@ieee.org1
Department of Computer Science, 611 Computer Studies Building, University of Rochester, Rochester, NY1
Intelligent Systems Department, Multimedia Computing Group, Delft University of Technology, Delft, The Netherlands1
Centre for Signal Processing, Dept. of Electronic & Information Engg., The Hong Kong Polytechnic University, China1
The Nature-Inspired Computational Intelligence Research Group, Kanpur, India1
Department of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Tai’an, CO, 271019, China1
UTP University of Science and Technology, Bydgoszcz, CO, 85796, Poland1
Information and Computing Sciences, Utrecht University, the Netherlands1
Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands1
School of Automation Science & Electrical Engineering, Beihang University, Peking, China1
University of Florida, Gainesville, USA1
Siemens Healthcare Technology Center, Princeton, USA1
NIH Clinical Center, Bethesda, USA1
Departments of Biology, Boston University, Boston, MA 022151
Department Electrical and Computer Engineering, National University of Singapore, Singapore1
Xi'an Jiaotong University, Xi'an, PA, China1
Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, China1
Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China1
Department of CSE, National Institute of Technology, Puducherry, Puducherry, India1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. flynn@cse.nd.edu1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. kwb@cse.nd.edu1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. tfaltemi@cse.nd.edu1
3dMD, Atlanta, Georgia, USA1
School of Physics Electrical Information Engineering, Ningxia University, Yinchuan 750021, China1
Department of Computer Science, Auckland University of Technology, Auckland, New Zealand1
College of Information, Capital University of Economics and Business, Beijing, China.sanyecunfu@emails.bjut.edu.cn1
Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA1
School of Computer Science and Technology, Southwest Minzu University, Chengdu, China1
College of Computer Engineering, Yangtze Normal University, Chongqing, China1
School of Science and Engineering (Computing), University of Dundee, Dundee, U.K.1
CSIE, National Cheng Kung University, Tainan, 701 Taiwan1
CSIE, National Taiwan University of Science and Technology, Taipei, 106 Taiwan1
Department of Mathematics, University of Houston, Houston, USA1
Research Group on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia1
Facebook AI Research, Seattle, WA 981091
Computer Science Department, Rutgers University, USA. dnm@cs.rutgers.edu1
Computer Science Department, Rutgers University, USA; National Laboratory of Pattern Recognition, Institute of Automation, CAS, China. qsliu@nlpr.ia.ac.cn, qsliu@cs.rutgers.edu1
Computer Science Department, Rutgers University, USA. yuchuang@cs.rutgers.edu1
Intelligent Systems Laboratory, University of Bristol, Bristol, UK1
Curriculum in Neurobiology, University of North Carolina at Chapel Hill, Chapel Hill, USA1
Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, USA1
Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA1
Sch. of Inf. Eng., Dalian Maritime Univ., China1
Department of Management, Dalian University of Technology, Dalian Liaoning, China1
Department of Electronic Engineering, Dalian University of Technology, Dalian Liaoning, China1
Tohoku University1
Beijing Institute of Technology, China1
Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw1
Yahoo! Research, Haifa, Israel1
Department of Psychology, Boston University, Boston, USA1
CCCE, Nankai University Jinnan Campus, Tianjin, China1
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA1
Chinese Academy of Sciences, Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Beijing, China1
Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China1
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China and Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belg ...1
Graz University of Technology, Institute for Computer Graphics and Vision. bischof@icg.tugraz.at1
Graz University of Technology, Institute for Computer Graphics and Vision. pmroth@icg.tugraz.at1
Graz University of Technology, Institute for Computer Graphics and Vision. hgrabner@icg.tugraz.at1
Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 7570861
Department of Computing, University of Surrey, United Kingdom1
Toyota Technological Institute at Chicago, Chicago, USA1
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France1
Queensland Institute of Medical Research, Brisbane, Australia1
National ICT Australia, Eveleigh, Australia1
University of New South Wales, Kensington, Australia1
Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia1
Australian National University, ACT 0200, Australia1
University of Canberra, ACT 2601, Australia1
Department of EngineeringFaculty of Engineering and Science, University of Agder, Kristiansand, Norway1
Yahoo Inc., New York, NY, USA1
Chongqing University of Technology, Chongqing, China1
School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, China1
National research base of intelligent manufaturing service, Chongqing, China1
Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. costas@aiia.csd.auth.gr1
Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. galba@aiia.csd.auth.gr1
School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn1
Department of Electrical and Electronic Engineering, Hasan Kalyoncu University, Gaziantep, Turkey1
School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland1
iCV Research Group, Institute of Technology, University of Tartu, Tartu, Estonia1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shanxi, P. R. China1
NEC Labs, Cupertino, CA1
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Denver, CO, USA1
Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France1
College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A.1
College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
RT-RK Institute for Computer Based Systems, Novi Sad, Serbia1
Department of Computer Engineering and Communications, Faculty of Technical Sciences, 21000 Novi Sad, Serbia1
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA1
Department of Computer and Information Science, University of Oregon, USA1
Gachon University, Gyeonggi-do, South Korea1
Dankook University, Gyeonggi-do, South Korea1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-0101
eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain1
MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain1
Indian Statistical Institute, Kolkata 7001081
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: tefas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: dralbert@zeus.csd.auth.gr1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA1
School of Information Technology, Deakin University, Geelong, Australia1
School of Sciences, South China University of Technology, Guangzhou, China1
Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr1
Department of Computer Science, POSTECH, Korea. karma13@postech.ac.kr1
Department of Computer Science and Information EngineeringGraduate School of Engineering Science and Technology-Doctoral Program, National Yunlin University of Science and Technology, Yunlin, Taiwan1
UIUC. hanj@cs.uiuc.edu1
Yahoo! hex@yahoo-inc.com1
UIUC. dengcai2@cs.uiuc.edu1
School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel1
Faculty of Aerospace Engineering, University Politehnica of Bucharest, Bucharest, Romania1
Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
IDEMIA, Colombes, France1
KIS PhotoMe Group, Echirolles, France1
Dept. Computer Science & Info. Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan1
Department of Advance Information Technology, Kyushu University, Fukuoka, Japan1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Departament d’Informàtica, Universitat de Valencia, Valencia, Spain1
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland, Germany1
IDIAP Research Institute, Switzerland1
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
School of Computer Sciences and Technology, Nanjing Normal University, Nanjing, China1
School of Mathematical Sciences, Nanjing Normal University, Nanjing, China1
University of Applied Sciences, Technikum Wien, Vienna, Austria1
School of Information Engineering, Univ. of Science and Technology Beijing, Beijing1
Department of Multimedia and Graphic Arts, Cyprus University of Technology, P.O. Box 50329, 3036, Lemesos, Cyprus1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
Department of Communication Disorders and Special Education, Old Dominion University, Norfolk, VA, USA1
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA1
CSE Department, Czech Technical University, Prague, Czech Republic, horejj1@fel.cvut.cz1
ECE Department, Union College, Schenectady, New York, sadilekt@union.edu1
ECE Department, Union College, Schenectady, New York, cotters@union.edu1
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Saarland, Germany1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China1
Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China1
Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie (Sorbonne Universités), Paris, France1
Rutgers University, New Brunswick, NJ, USA1
Lunit Incorporation, Seoul, Korea1
Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador1
LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France1
Amazon, Berkshire, U.K.1
Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus1
Center for Research in Computer Vision, University of Central Florida1
Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20740 United States1
Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854 United States1
Tianjin Universtiy, Tianjin, China1
New York University, Tandon School of Engineering, Brooklyn, New York1
The Chinese University of Hong Kong, Shatin, Hong Kong SAR1
University of Verona, Italy1
Queen Mary University, London, United Kingdom1
University of Lancaster, Lancaster, United Kingdom1
University of Helsinki, Helsinki, Finland1
Deparment of Information Media Technology, School of Information and Telecommuncation Engineering, Tokai University, Japan1
Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China1
Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, Beijing, People’s Republic of China1
School of Engineering and Applied Science, Aston University, Birmingham, U.K.1
College of Computer Science, Hangzhou, China1
College of Information Engineering, Shenzhen, China1
Centre for Quantum Computation and Intelligent Systems, University of Technology at Sydney, Sydney, NSW, Australia1
College of Computing Science & Information Technology, Theerthankar Mahaveer University, Moradabad, India1
Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India1
Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India1
School of Dentistry, Cardiff University, Cardiff, UK1
School of Computer Science and Informatics, Cardiff University, Cardiff, UK1
School of Engineering, Cardiff University, Cardiff, UK1
School of Engineering, Kerbala University, Karbolaa, Iraq1
UMIC Research Centre, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Network Assessment Technology, Institute Of Information Engineering, Chinese Academy Of Sciences, Beijing, China1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technoloy, Guilin, China1
School of Information Technology, Deakin University, Melbourne, Australia1
School of Cyber Science and Engineering, Wuhan University, Wuhan, China1
Toshiba Corporation, Japan1
Department of Electronics, Graduate School of Engineering, Tohoku University, Aza-Aoba 6-6-10, Aramaki, Aoba-ku, Sendai 980-8579, Japan1
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy1
Nat. Biometrics Test Center, San Jose State Univ., CA, USA1
The Hong Kong Polytechnic University / Harbin Institute of Technology1
Department of Computer Engineering, EPOKA University, Tirana, Albania1
Faculty of Contemporary Sciences and Technologies, SEEU, Tetovo, Macedonia1
University of Central Arkansas, Conway, AR, USA1
LIPN, CNRS UMR 7030, Université Paris 13, Sorbonne Paris Cité, France1
Dept. of Telecommunications, HCM City Uni. of Technology, Vietnam1
Dept. of Mathematics and Computer Science, Texas A&M Uni.-Commerce, USA1
Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China1
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong1
Research Innovation Center, Canon U.S.A. Inc., San Jose, USA1
Università di Catania, Catania, Italy1
Department of Computer Science and Electrical Engineering, Jacobs University, Bremen, Germany1
LISA - ISTIA, University of Angers, Angers, France1
MiraLab, University of Geneva, Carouge, Switzerland1
Escola Superior de Tecnologia do IPS, Setúbal, Portugal1
Shijiazhuang Railway Institute, Hebei, China1
Sapienza Università di Roma, Rome, Italy1
Microsoft Research&Stanford University, Stanford, CA, USA1
Department of Electrical Engineering, Université de Biskra, Biskra, Algeria1
School of Mathematics, GuangDong University of Business Studies, Guangzhou, China1
School of Information Science and Engineering, Hunan city University, Yiyang, China1
Department of Computer Science, Princeton University, Princeton, NJ1
University of Sao Paulo and Ribeir˜a Preto Medical School Ribeira Preto, Sao Paulo, Brazil1
Institute of Informatics Federal University of Goias - UFG Goiania, Goias, Brazil1
Department of Informatics, Federal Institute Goiano - IF Goiano Ceres, Goias, Brazil1
University of Trento, Povo, Trento, IT1
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK. msn@ecs.soton.ac.uk1
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK. jdb07r@ecs.soton.ac.uk1
Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan1
Information Science and Technology Institute, Zhengzhou, China1
Zhengzhou Institute of Surveying and Mapping, China1
Zhengzhou Institute of Surveying and Mapping, Information Science and Technology Institute, China1
Department of ECE, National University of Singapore1
Department of Computer Science, University of Dayton1
School of Electronic and Information Engineering, Tongji University, Shanghai, China1
Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran1
Departiment of Informatics Bioengineering Robotics and Systems Engineering, Università degli Studi di Genova, Italy1
KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium1
Institut EURECOM, Sophia Antipolis, (France)1
Sapienza Università di Roma, v. Salaria 113, 00198, Rome, (IT)1
Centre de Recherche Cerveau et Cognition, Université Toulouse 3, Centre National de la Recherche Scientifique, Faculté de Médecine de Rangueil, 31062, France1
Theoretical and Computational Neuroscience Group, Departament de Tecnologia, Universitat Pompeu Fabra, 08018 Barcelona, Spain1
ViNotion B.V., Eindhoven, The Netherlands1
Video Coding and Architectures Research Group, Electrical Engineering Faculty, Eindhoven University of Technology, Eindhoven, The Netherlands1
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
School of Computer and Information Technology, Liaoning Normal University, Dalian, China1
Research Center for Information Technology Innovation and the Institute of Information Science, Academia Sinica, Taipei, Taiwan1
School of Computer Engineering, Iran University of Science and Technology, Narmak, Iran1
Vienna University of Technology1
Institute for Dynamic Systems and Control, Swiss Federal Institute of Technology, Zürich, Switzerland.1
Autonomous Systems Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland.1
School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China 6100641
University of Massachusetts Amherst, Amherst, MA, USA1
Microsoft & University of Massachusetts, Amherst, Redmond, WA, USA1
Microsoft & University of Washington, Redmond, WA, USA1
Wuhan University of Technology, Wuhan China1
University of Orléans, Orléans, France1
Department of Engineering, University of Cambridge, Cambridge, U.K.1
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea1
Bilgisayar Mühendisliği Bölümü, MEF Üniversitesi, İstanbul, Türkiye1
CST School, Seoul National University, Seoul, Korea1
Faculty of Engineering and Computing, Coventry University, UK1
Dept. of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria1
School of Automation, Southeast University, Nanjing, 210096, China1
Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, 100191 China1
Warsaw University of Technology, Nowowiejska 15/19m 00-665, Poland1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha 410073, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, NSW 2008, Australia1
College of Science, National University of Defense Technology, Changsha 410073, China1
Department of Electrical Engineering, Mashhad Branch, Islamic Azad University Mashhad, Iran1
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University Neyshabur, Iran1
Public Service Platform of Mobile Internet Application Security Industry, Shenzhen, China1
Shenzhen Applied Technology Engineering Laboratory for Internet Multimedia Application, Shenzhen, China1
Computer Application Research Center, ShenZhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil1
Tsinghua University, Beijing, 100084, China1
University of Exeter1
DSO National Laboratories, Singapore1
State Key Laboratory of Integrated Services Networks, School of Telecommunications, Xidian University, Xi'an, China1
Shanghai Technical Institute of Electronics and Information, China1
Department of Geography Minjiang University, China1
China National Institute of Standardization, Beijing, China1
Institute of Information and Control, Hangzhou Dianzi University, Zhejiang, China1
Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool, U.K.1
School of Information and Software Engineering, University of Electronic Science and Technology of China1
Human-Robot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea1
Dept. of Computing University of Leeds Leeds, UK, LS2 9JT1
Faculty of Computer Engineering, Munzur University, Tunceli, Turkey1
Faculty of Mechatronics Engineering, Firat University, Elazig, Turkey1
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. vangool@esat.kuleuven.be1
ETH Zurich, Zurich, Switzerland. aess@vision.ee.ethz.ch1
Universidad de los Andes, Colombia, USA1
Institute of Industrial Science, The University of Tokyo, Meguro-ku, Japan1
Defence R&D Canada, Toronto, ON, Canada1
School of Computer, Zhejiang Wanli University, Ningbo, China1
Library, Zhejiang Wanli University, Ningbo, China1
Alexandria High Institute of Engineering and Technology-Egypt. Email: hassanfahmy36@hotmail.com1
Department of Biomedical Engineering, The University of Texas at Austin, 78712, USA1
Department of Electrical and Computer Engineering, The University of Texas at Austin, 78712, USA1
University of Massachusetts, Dartmouth, Dartmouth, MA, USA1
Department of Cognitive Science, Xiamen University, Xiamen, China1
School of Information Systems Singapore Management University, Singapore1
Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China1
A.G. Patil Institute of Technology, Solapur, India1
Rani Channamma University, Belagavi, India1
Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China1
School of Information Science and Engineering, Central South University, Changsha, People’s Republic of China1
Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, Xiangtan, People’s Republic of China1
School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China1
Department of Geo-informatics, Central South University, Changsha, China1
Department of Geography and the Environment, University of Denver, Denver, CO, USA1
Department of Computer & Software Engineering, Bahria University, Islamabad, Pakistan1
School of Information Communication Technology, Griffith University, Queensland, Australia1
YouTu Lab, Tencent, Shanghai, China1
NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Nokia Technologies, Tampere, Finland1
Department of Computer, Science and Engineering, Chandy College of Engineering, Anna University, Thoothukudi, Tamil Nadu, India1
Department of Information Technology, MNM Jain Engineering College, Anna University, Chennai, Tamil Nadu, India1
Institute of Infocomm Research, A-STAR Singapore1
School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Department of Software Engineering, College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, Saudi Arabia1
Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain1
Department of Mathematics and Computer Science, Universitat de Barcelona, Barcelona, Spain1
Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain1
Fundació Privada Sant Antoni Abat, Vilanova i la Geltrú, Spain1
DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany1
Technical University, Kaiserslautern, Germany1
Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China1
Microsoft Corporation, Cambridge, United Kingdom1
UFSC - Federal University of Santa Catarina / INE - CTC, Florianópolis, 88040-900, Brazil1
UDESC - Santa Catarina State University, DCC - CCT, Joinville, 89219-710, Brazil1
Nanjing Institute of Astronomical Optics and Technology, National Astronomical Observatories, Chinese Academy of Science, Jiangsu 210042, China1
School of Computer Science and Engineering, Nanjing University of Science and Technology, Jiangsu 210094, China1
Microsoft Research Cambridge Cambridge, UK1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia1
School of Automation, Beijing Institute of Technology, Beijng, China1
Bejing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Automation, Beijing Institute of Technology, Beijng, China1
Carnegie Mellon University and Disney Research, Pittsburgh1
Department of Mechanical Engineering, KAIST, Korea1
Department of Creative IT Engineering, POSTECH, Pohang, Korea1
Robotics Program, KAIST, Daejeon, Korea1
Centre for Intelligent Machines and Department of Electrical and Computer Engineering, McGill University, Montreal, Canada1
Information and Engineering College, Dalian University, Dalian, P. R. China1
University of California, San Diego, La Jolla1
Google Inc., Mountain View1
University of Technology at Sydney, Sydney, NSW, Australia1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik1
Department of Computer Science, University of Toront, Toronto, Canada1
Computer Science & Engineering Bengal Engineering and Science University, Shibpur Howrah, India1
Electronics & communication Engineering Gurunanak Institute of Technology, Sodepur Kolkata, India1
Chinese Academy of Sciences Beijing, 100080, China1
Lab. IGM, Université Paris-Est1
ITI Department Telecom Bretagne, Brest, France1
Dept. of Electronics and Telecommunication Engineering, Assam Engineering College, Guwahati, Assam, India1
Dept. of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia1
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia1
State Grid Liaoning Electric Power Supply CO. LTD, China1
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan1
Adobe Systems Incorporated, San Jose, CA, 951101
Computer Science and Engineering Department, Arizona State University. hliu@asu.edu1
Computer Science and Engineering Department, Arizona State University. zhaozheng@asu.edu1
Computer Science and Engineering Department, Arizona State University. jieping.ye@asu.edu1
Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand1
Institute of Computer graphics and Image Processing, Hangzhou Dianzi University, Hangzhou, China1
State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China1
Informatics Engineering Department, Faculty of Science and Technology, University of Coimbra, Portugal1
NIWA, Wellington, New Zealand1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
The Friedberg Genizah Project, Jerusalem, Israel1
The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel1
College of Computer and Information Science, Northeastern Unciversity, Boston, USA1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia1
Western Kentucky University, USA1
Microsoft, Redmond, WA1
Systems Design Engineering Department, University of Waterloo, Waterloo, Canada1
Postdoc Center of Information and Communication Engineering, Xiamen University, Xiamen, China1
University of N. British Columbia, Prince George, Canada V2N 4Z91
Brown University, USA1
Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands1
Panasonic Singapore Laboratories1
ETS, Québec, Canada1
University of Oulu1
Blida University1
University of Tokushima, Shinkura-cho, 770-8501, Japan1
Departamento de Ciencias de la Computación e I.A., Universidad de Granada, Granada, Spain1
TCL Research America, San Jose, CA, USA1
University of Southampton IT Innovation Centre, Southampton, UK1
Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Electrical Engineering Department, Xian Shiyou University, Xi’an, China1
School of Logistics, Engineering in Wuhan University of Technology, Wuhan, China1
School of Logistics, Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China1
Samsung Electronics, Yong-In, Gyeonggi-Do, Korea1
Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands1
Technicolor1
INRIA Rennes1
Department of Computer Science and Engineering, POSTECH, Pohang, Korea1
Department of Computer Science, National Chung Cheng University, Chiayi, Taiwan1
Computer Vision Center, Bellaterra, Spain1
Dept. of Comput. Inf. & Sci., Delaware Univ., Newark, DE, USA1
Electrical Engineering Department, Tafresh University, Tafresh, Iran1
School of Engineering, Tokyo Institute of Technology, Yokohama, 226-8502, Japan1
University of Southern California, Southern California, USA1
68129 Army, Lanzhou, China1
Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Centre de Développement des Technologies Avancées, Baba Hassen, Finland1
Department of Automation, Tsinghua University, Bejing, China1
School of Electrical Engineering, University of Ulsan, Ulsan, Korea1
Faculty of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany1
Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China1
School of Software Engineering, Xi'an Jiaotong University, Xian, Shaanxi, China1
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China1
Zebra Technologies Corporation, Shanghai, China1
Sardina Systems, Tallinn, Estonia1
Headquarters of GuiZhou Division of Armed Police, GuiYang 550008, P.R. China1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
Space Application Laboratory, Research Center for Advanced Science and Technology, University of Tokyo, Japan1
Department of Aeronautics and Astronautics Engineering, Graduate School of Engineering, University of Tokyo, Japan1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kedah, MALAYSIA1
Computer Vision Group, RWTH Aachen University, D-52074, Germany1
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, NY, USA1
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China1
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China1
School of Computer Science, University of Nottingham, Nottingham, UK1
Dipartamento di Informatica, University of Verona, Italy1
VARPA Group, University of A Coruña, Spain1
Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Zhejiang Wanli University, Ningbo, China; Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China1
School of Electronic Engineering and Computer Science, Queen Mary, University of London, London, UK1
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China1
Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
A*STAR, Singapore / National University of Singapore, Singapore1
School of Computer Science, Chengdu Normal University, 611130, China1
Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan1
IBM Research India, New Delhi, India1
Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong1
National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China1
Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China1
Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China1
Institute of System Science, Northeastern University, Shenyang, China1
LETI-EHTP casablanca1
ThyssenKrupp Elevator Americas1
Harvard Medical School and Brigham and Women's Hospital, Boston, USA1
Istanbul Technical University , Istanbul, Turkey1
Harvard Medical School , Boston, USA1
The Hebrew University of Jerusalem , Jerusalem, Israel1
University College London , London, United Kingdom1
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, Xuzhou, China1
Centre de recherche de l’Institut universitaire en santé mentale de Québec, Quebec City, Canada1
Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Quebec City, Canada1
Faculté des sciences sociales, École de psychologie, Pavillon Félix-Antoine-Savard, Université Laval, Quebec City, Canada1
School of Computer Engineering, Sejong University, Seoul, 143-747, Korea1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany1
School of Mathematics and Statistics, Yunnan University, Kunming 650091, China1
CARTIF Foundation, Valladolid, Spain1
Department of Electrical & Computer Engineering, Democritus University of Thrace, Xanthi, Greece1
Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway1
Department of Electrical and Computer Engineering, University of Illinois at Urbana—Champaign, Champaign, IL, USA1
Research & Development, British Broadcasting Corporation (BBC), London, UK1
Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia1
Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China1
School of Logistics Engineering, Wuhan University of Technology, Wuhan, PR, 630047, China1
School of Mathematical Sciences, Xiamen University, Xiamen, PR, 361005, China1
Department of Statistics, The Chinese University of Hong Kong, Hong Kong, PR, China1
Toyota Technological Institute at Chicago, USA1
Wide Eyes Technologies1
Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore1
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, China1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece1
School of Management, University of Bath, Bath, UK1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
Machine Learning GroupTechnische Universität Berlin1
Stony Brook University, New York, USA1
EECS Department at UC Berkeley, Berkeley, USA1
WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France1
Air Force Research Laboratory at Rome, Rome, NY1
Department of Engineering Science, University of Oxford, Oxford, United Kingdom1
Department of Information Engineering, the Chinese University of Hong Kong1
Department of Electronic Engineering, the Chinese University of Hong Kong, Shatin, Hong Kong1
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 728401
Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Brasil1
Harbin Institute of Technology & Tsinghua University, Harbin, China1
Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Malong Technologies Company, Ltd., Shenzhen, China1
The State Key Laboratory of High-end Server and Storage Technology, Jinan, China1
Department of Digit Technology, No.38 Research Institute of CETC, hefei, China1
Department of public computer teaching, Hefei Normal University Hefei, China1
Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India1
Defense Research and Development Organization, Ministry of Defense, Delhi, India1
University of Arizona, Tucson, Arizona United States1
College of Forestry, Nanjing Forestry University, Nanjing, China1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China1
University of Washington, USA1
GE Global Research, USA1
Team of research IMAGE- GREYC laboratory, université de Caen Basse Normondie, 14000 Caen, France1
Graduate University of Chinese Academy of Sciences, and the Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, China1
Department of Mechanical Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka1
Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka1
Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary1
School of Computer Science, Simon Fraser University, 8888 University Dr, Burnaby, BC V5A 1S6, Canada1
Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824-1226. stockman@cse.msu.edu1
Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824-1226. colbrydi@cse.msu.edu1
Research Institute for Future Media Computing, School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China1
Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China1
School of Mathematical Sciences, University of Science and Technology of China, Hefei, China1
Institute of Automation, Chinese Academy of Sciences, 100083, China. E-MAIL: changping.liu@mail.ia.ac.cn1
Institute of Automation, Chinese Academy of Sciences, 100083, China. E-MAIL: lei.huang@mail.ia.ac.cn1
Harbin Engineering University, Harbin, Heilongjiang, 150001, China. E-MAIL: xugaofeng@hanwang.com.cn1
Tohoku University, Graduate School of Information Sciences, Sendai, Japan1
Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China1
Institute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC1
Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan1
Graduate School of Informatics and Engineering, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Moscow State University, GSP-1, Moscow, Russia1
Karabuk University Turkey, Karabük1
Gaziosmanpaşa University Turkey, Tokat1
RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
National Taiwan University, Taiwan1
Omron corporation, Japan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
The Open University of Japan, Chiba-shi, Japan1
E.C.E. Department, University of Thessaly, Volos, Greece1
"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania1
Pontificia Universidad Católica del Perú -- Artificial Intelligence Research Group (IA-PUCP), Lima - Peru1
LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France1
NVIDIA Research, Santa Clara, CA, USA1
Siren Solutions, Dublin, Ireland1
Paradigma Digital, Madrid, Spain1
“Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, Romania1
Department of Telecomm. Engineering, National, University of Computer &Emerging Sciences (NU-FAST), Peshawar, Pakistan1
INESC TEC and the Faculty of Engineeiring, University of Porto, Rua Roberto Frias 4200-465, Portugal1
Department of Neurology, University of Munich at Marchioninistrasse 15, 81377, Germany1
INESC TEC (Instituto de Engenharia de Sistemas e Computadores do Porto), University of Porto, Rua Roberto Frias 4200-465, Portugal1
School of Electronics Engineering, Kyungpook National University, Taegu, South Korea1
Department of Electronics and IT Media Engineering, Seoul National University of Science and Technology, Seoul, Korea1
Beijing Engineering Research Center for IoT Software and Systems, School of Software Engineering, Beijing University of Technology, Beijing, China1
Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), School of Software, Tsinghua University, Beijing, China1
College of Animal Science, Jilin University, Changchun, China1
Editorial Department of Journal, Jilin University, Changchun, China1
Department of Software Technology and Methodology, Faculty of Informatics, Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest H-1117, Hungary1
Sun Yat-sen University & Sensetime, Guangzhou, China1
School of Information Technology in Education, South China Normal University, Guangzhou, China1
Dept. of EE, KAIST, Korea1
CASIA, China1
Language Technologies Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
Department of Electrical & Electronics Engineering, Kalasalingam University, Krishnankoil, India1
Scene Understanding Group, University of Twente, Netherlands1
Center for Machine Perception, Czech Technical University, Czech Republic1
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, Sri Lanka1
Division of Computer Engineering, Dongseo University, Busan, Korea1
Dept. of Information Technology, Manipal University Jaipur, Jaipur, India1
Dept. of Computer Science and Engineering, Amity University Rajasthan, Jaipur, India1
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia1
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Beijing Information Science and Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination Research School of Computer Science, Beijing, China1
School of Digital Media, Jiangnan University Jiangsu Wuxi, PR China1
School of Digital Media, Jiangnan University, Jiangsu Wuxi, PR China1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Standards & Metrology Research Institute of CARS, Beijing, China1
College of Information Science & Technology, Hebei Agricultural University, Baoding, China1
Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Graduate School of System Informatics, Kobe University, Japan1
Biomedical and Multimedia Information Technology Research Group, The University of Sydney, Darlington, NSW, Australia1
School of Maths, Statistics & Computer Science, University of KwaZulu-Natal, Durban, South Africa1
Faculty of Science and Technology, Sudan University of Science and Technology, Khartoum, Sudan1
LIMIARF University Mohammed V-Rabat, Marocco1
Department Of Computer Science, TU Dortmund1
School Of Computing, University Of Dundee1
Beckman Institute and Department of Computer Science, University of Illinois at Urbana-Champaign, USA1
Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA1
Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA1
Department of Computer Science, Virginia Polytechnic Institute and State University, Falls Church, Virginia, USA1
Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, Delft, The Netherlands1
CVSSP, University of Surrey, Guildford, UK1
School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Graduate School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Instituto Andaluz de Geofísica, University of Granada, Spain1
ESMT Inc, Hsinchu, Taiwan1
Boston, USA1
Boston, USA1
School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran1
Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran1
University of Porto, Portugal1
Federal Institute of São Paulo, Araraquara, Brazil1
School of Science, Jiangnan University, Wuxi, China1
University of York,York, YO10 5DD, UK1
Department of Computer Science, University of Copenhagen, Denmark1
Institute for Pattern Recognition and Artificial Intelligence and the National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia1
Department of Computer and Information ScienceFaculty of Science and Technology, University of Macau, Macau, China1
Advanced Technology division, Toyota Motor Europe, Japan1
University of Massachusetts at Amherst, Amherst, MA, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Adelaide University, Australia1
LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France1
Institute of Computer Science, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland1
Multimedia Laboratory, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada1
Carleton University, Ottawa, ON, Canada1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat (India)1
Dharmsinh Desai University, Nadiad, Gujarat (India)1
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China1
Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany1
Department of Electronic Engineering, University of Electronic Science and Technology of China, China1
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany1
NeuroRx Research, Montréal, Canada1
School of Computer Science, McGill University, Montréal, Canada1
University of Central Florida, Computer Science1
Stetson University, Computer Science1
Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China1
SenseTime Group Limited, Shatin, Hong Kong1
University of Pretoria, Pretoria, South Africa1
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
Folkhalsan Research Center Helsinki, Finland1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
Fellow, IEEE, Faculty of Computer Science, George Mason University, Fairfax, VA 22030, USA wechsler@cs.gmu.edu1
CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com1
KT Future Technology Laboratory, Seoul, South Korea1
Graduate School of Information, Production and Systems (IPS), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Information, Production and Systems Research Center (IPSRC), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Punjab Engineering College, Chandigarh, India1
College of Computer Science, Zhejiang University1
Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey1
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey1
Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China1
School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan1
Shanghai Adwanced Research Institute, Chinese Academy of Sciences, Shanghai, China, 2012101
Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
College of Teacher Education, Wenzhou University, Wenzhou, China1
CAS Key Laboratory of Behavior Sciences, Institute of Psychology, Beijing, China1
Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: msn@ecs.soton.ac.uk1
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: bg@ecs.soton.ac.uk1
Jiangxi University of Finance and Economics, Nanchang, China1
Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China1
Ozyegin University, Istanbul, Turkey1
Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil1
Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil1
Department of Electrical Engineering, Stanford University1
P.P.G. Institute of Technology, Coimbatore1
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan1
Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan1
CSE & IT Department, Electrical and Computer Engineering Faculty, Shiraz University, Shiraz, Iran1
Department of Engineering, University of the Ryukyus, Nishihara, Okinawa, 903-0213, Japan1
Graduate School of Engineering and Science, University of the Ryukyus, Nishihara, Okinawa, 903-0213, Japan1
The University of Tokyo & JST PRESTO, Tokyo, Japan1
Ocean University of China, Teaching Center of Fundamental Courses, Qingdao, China1
Centre of Research in Complex Systems, Charles Sturt University, Albury, Australia, 26401
Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway1
Baylor College of Medicine, Houston, TX, USA1
Brown University, Providence, RI, USA1
University of Florida, Gainesville, FL, USA1
Cleveland Clinic, Cleveland, OH, USA1
University of Auckland, Department of Mechanical Engineering, New Zealand China1
School of Mechatronic Engineering and Automation, Robotics, Shanghai, China1
Digital Technology International Group, Perth Airport, Australia1
ZHAW Datalab1
University of Venice1
IDSIA & USI1
University of Venice & ZHAW1
ZHAW Datalab & USI1
National Taiwan University of Science and Technology, Department of Mechanical Engineering, Taiwan1
University of Tokushima, Shinkuracho, 770-8501, Japan1
Graduate School of System Informatics, Kobe University, 657-8501, Japan1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Computer Science Department, University of Crete, Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH, Computer Science Department, University of Crete1
Information and Science Technology Institute, Peking University Shenzhen Graduate School, Shenzhen, China1
Information Network Engineering and Research Center, South China University of Technology, Guangzhou 510641, China1
School of Software, Nanchang Hangkong University1
Institute of Computer Vision, Nanchang Hangkong University1
Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China1
School of Information Science and Engineering, Northeastern University, Shenyang, China1
Neptec Design Group Ltd, Kanata, Canada1
Signal Network Technology Pty Ltd, Sydney, Australia1
Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia1
Department of Medical and Molecular Biosciences, University of Technology Sydney, Sydney, Australia1
Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Griffith School of Engineering, Queensland Research Laboratory, National ICT Australia, Griffith University, Nathan, Australia1
Queensland Research Laboratory, National ICT Australia and Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Australia1
Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada1
Faculty of Forensic Science and Technology, Guangdong Police College Guangzhou, Guangdong, P. R. China1
School of Computing and Mathematics, Charles Sturt University, Australia1
School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel1
Yahoo Research Labs, Haifa, Israel1
Weizmann Institute, Rehovot, Israel1
Institute of Cognitive and Brain Sciences, University of California, Berkeley, USA1
Tel Aviv University, Tel Aviv, Israel1
Computer Science Department, University of California, Los Angeles, USA1
University of Nebraska-Lincoln, Lincoln, USA1
Department of Cognitive Sciences, Education and Cultural Studies, University of Messina, Messina, Italy1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD1
Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
University of Tunis El Manar, Tunis, Tunisia1
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, China1
School of Computer Science and Technology, and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
University of Vermont, Burlington, VT, USA1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia1
Department of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
College of Information and Control Engineering, China University of Petroleum, Qingdao, China1
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA1
Intel Labs Europe, Pipers Way, Swindon1
College of Computer Science and Technology, Guizhou University, Guiyang, China1
Department of Computer Science & Engineering, University of Washington, USA1
Intel Labs Seattle, Seattle, WA 98105, USA1
School of Management, Dalian University of Technology, Dalian, Liaoning Province, China. lihui@ln.chinamobile.com1
Visual Computing Group, Microsoft Research Aisa1
Visual Computing Group, Microsoft Research Asia1
University of Leeds, Leeds, United Kingdom1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China1
Department of Communication Engineering, Nanjing Institute of Technology, Nanjing, China1
Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China1
DIMAp/UFRN, Natal, Brazil1
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, New Jersey, 070301
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 028811
Vulcan Inc, Seattle, WA 981041
Department of Computer Science, Hofstra University, Hempstead, NY 115491
Digital Media Lab, Dept. Applied Physics and Electronics, Umeå University, SE-90187, Umeå, Sweden1
Dept. Applied Physics and Electronics, Umeå University, SE-90187, Umeå, Sweden1
University of Western Australia, Crawley, Australia1
Umm Al-Qura University, Makkah, Saudi Arabia1
School of mechanical and power engineering, Hennan Polytechnic University, Jiaozuo, China1
Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany1
ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid1
Columbia University, USA1
Graduate School of Information Science and Technology, The University of Tokyo, Japan1
School of computer Science and Engineering, Nanyang Technological University, Singapore1
Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India1
Department of Pathology, University of California, San Francisco, 94143, USA1
Department of Radiology & Biomedical Imaging, University of California, San Francisco, 94143, USA1
York University, Toronto, ON, Canada1
Academia Sinica, Taiwan1
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University, China1
Carnegie Mellon University, Robotics Institute1
School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
UNSW, Sydney, Australia1
Department of Electronics and Electrical Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science and Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines1
Australian National University, Canberra, ACT, Australia1
School of Automation, Beijing Institute of Technology, Beijing, China1
Key Laboratory of Intelligent Information Process, Chinese Academy of Sciences, Beijing, China1
College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan1
Noah's Ark Lab, Huawei, Shenzhen, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, United States of America1
Electrical and Microelectronic Engineering Department, Rochester Institute of Technology, NY 14623, United States of America1
Yahoo, Sunnyvale, CA, USA1
Bell Labs, Cambridge, United Kingdom1
Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark1
INESC TEC, Universidade do Porto, Porto, Portugal1
Dept. of Informatics Engineering and Electrical Engineering, Faculty of Engineering, Mataram University, Mataram, Indonesia1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada1
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong1
Noah’s Ark Laboratory, Hong Kong1
Noah.s Ark Laboratory and Hong Kong University of Science and Technology, Hong Kong1
School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
La Trobe University, Melbourne, Australia1
BITS Pilani, India , India1
Department of Computer Engineering Faculty of Engineering, MUT1
Department of Computer Engineering Faculty of Engineering, NPU1
Department of Electrical Engineering, Rio de Janeiro State University , Rio de Janeiro, Brazil1
Department of Electrical and Computer Engineering, Democritus University of Thrace, Thrace, Greece1
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece1
Department of Health Sciences, University of Leicester, Leicester, Unithed Kingdom1
Department of Civil, Environmental & Geomatic Engineering, University College London, London, Unithed Kingdom1
Physiotherapy Department, Maidstone & Tunbridge Wells NHS TrustTN2 4QJ1
Institute for Information Industry, Taipei City, Taiwan1
Department of Digital Humanities, Aletheia University, New Taipei City, Taiwan1
Raytheon BBN Technologies, Cambridge, MA1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China1
Deutsche Telekom Laboratories, Germany1
Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany1
Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India1
Dept. of Electronics & Instrumentation Engineering, University B.D.T. College of Engineering, Davanagere, Karnataka, India1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain1
AI Laboratories, Alibaba Group, Hangzhou, China1
Centrum Wiskunde & Informatica, Amsterdam, Netherlands1
DAUIN, Politecnico di Torino, Turin, Italy1
Intel Labs, Banglore, Karnataka, India1
National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China1
School of Mathematics and Statistics, Northeast Normal University, Changchun, China1
Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China1
Department of Science Program, Texas A&M University at Qatar, Doha, Qatar1
School of Mathematics, Southeast University, Nanjing, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China1
School of Engineering, Qufu Normal University, Rizhao, China1
College of Science, Liaoning University of Technology, Jinzhou, China1
Florida International University, Miami, FL, USA1
Dhofar University, Oman1
Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia1
Department of Computer Science & Information Engineering, Shu-Te University, Taiwan1
Department of Drama and Theatre, National Taiwan University, Taiwan1
Shenzhen Institute of Advanced Technology1
Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria1
Center for Machine Vision Research, Computer Science and Engineering, University of Oulu, Oulu, Finland1
Department of Computer Science Faculty of Computers and Information, Mansoura University, Mansoura, Egypt1
Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, USA1
Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA1
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China1
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China1
Texas A&M University at Qatar, Doha, Qatar1
Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland1
Chair of Control and Systems Engineering, Poznan University of Technology, Poznan, Poland1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, 710119, P.R. China1
Computational Biomedicine Laboratory, Department of Computer Science, University of Houston, Houston, TX1
University of North Carolina at Chapel Hill, Chapel Hill, USA1
University of Illinois at Urbana Champaign, Urbana, USA1
Italian Institute of Technology, Milan, Italy1
Dept. of CSE CEC, Landran, Mohali, India1
Institute of Intelligent Vehicle, Tongji University, Shanghai, China1
Northwestern Polytechnical University, Xi’an, China1
NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium1
Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China1
Synthes GmbH, Langendorf, Switzerland1
Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany1
ImFusion GmbH, Munich, Germany1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China. E-MAIL: ydding@yc.shu.edu.cn1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China; Department of Information and Electrical Engineering, Shaoyang University, Shaoyang 422000, China. E-MAIL: huang_tongcheng@163.com1
Information and Communication Engineering, Rajshahi University1
Gippsland School of Information Technology, Monash University1
Key Lab Complex System & Intelligence Science, Institute of Automation, Chinese Academy of Science, Beijing, China1
Osaka University, 1-1 Yamada-oka, Suita, Japan1
Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan1
LIRE Laboratory, University of Constantine 2, Algeria1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Technical Reconnaissance Detachment of Public Security Bureau Lanzhou, Lanzhou, China1
School of Information Science and Technology, University of Science and Technology of China, Anhui, China1
Department of Automation, University of Science and Technology of China, Anhui, China1
Aalborg, University, Denmark1
College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China1
Philips Applied Technologies, Eindhoven, Netherlands1
Philips Research Eindhoven, Eindhoven, Netherlands1
Department of Theory and Practice in Teacher Education, University of Tennessee, Knoxville, TN 37996, USA1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA1
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4, Canada1
SAP Innovation Center Networks, Singapore1
Zuse Institute Berlin, Berlin, Germany1
Yahoo Research, New York City, NY, USA1
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada1
VIVA Research Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada1
School of mathematics and statistics, Shaoguan University, Shaoguan, China1
Department of Computing, Biometrics Research Centre, Hong Kong Polytechnic University, Hong Kong1
School of Computer Science, Nanjing, University of Science and Technology, Nanjing, China1
Bio-Computing Research Center and Key Laboratory of Network Oriented Intelligent Computation, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Department of Information Technology, Mahanakorn University of Technology, Nong Chok, Thailand1
Informatics and Telematics Institute, CERTH, Thessaloniki, Greece1
Advanced Machine Intelligence Research Laboratory, Department of Computer Engineering, Mahanakorn University of Technology, Nong Chok, Thailand1
Department of Informatics, King’s College London, London, UK1
Department of Electrical Engineering, KAIST, Korea1
Electronic R&D Center, Mando Corp., Korea1
Department of New Media, Korean German Institute of Technology, Korea1
SAIT Beijing Lab, Samsung Advanced Institute of Technology, China1
Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea1
Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
Department of Electrical Engineering, Amirkabir University of Technology, Teharan, Iran1
Dept. of Applied Mathematics, Xidian University, Xi'an, China1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, rbd@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, msb@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, kbrady@ll.mit.edu1
Lund University, Centre for Mathematical Sciences, Box 118, SE-22100, Sweden1
Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden1
Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
VDG Security B.V., Zoetermeer, The Netherlands1
Institute of Industrial Science, the University of Tokyo, Tokyo, Japan1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: tokuda@ics.nitech.ac.jp1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: nankaku@ics.nitech.ac.jp1
DST INSPIRE Fellow, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India1
Department of Mathematics, Faculty of Engineering, Lund University, Sweden and the Institute of Mathematics of the Romanian Academy1
Institute of Mathematics of the Romanian Academy and Computer Science Department, University of Toronto, ON, Canada1
B-DAT, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Salem State University, Salem, MA, USA1
Mobile Communications Department, Eurecom, Biot, France1
STARS Team, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, France1
Multimedia Laboratory, School of Computer Science and Engineering, Nanyang Technological University, Singapore1
South China Agriculture University, Dept. of Computer Science and Technology, Guangzhou, China1
University of Cambridge, UK1
Network Management Center, China Mobile Group Guangdong Co., Ltd, Shenzhen, China1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China1
School of Communication and Information Engineering Shanghai University Shanghai, China1
Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan1
Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan1
SRI International, 201 Washington Road, Princeton, NJ, USA1
LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France1
ISIR, UPMC Univ Paris 06, CNRS, Paris, France1
Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India1
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10., czuni@almos.vein.hu1
System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt1
Department of Computer Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
School of ITER, The University of Queensland, Australia1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia1
University of Maryland, College Park, 20742, USA1
University of Aberdeen1
School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China1
Department of Mathematics and Computer Science, École centrale de Lyon, Écully, France1
Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications1
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China1
Faculty of Electrical and Computer Engineering Urmia University1
Research Scholar, MPSTME, SVKM's NMIMS University, SFIT Borivalli(W) ,Mumbai 400 103, India1
MPSTME, SVKM's NMIMS University, Vile-Parle (W), Mumbai 400 056, India1
CSE dept., Green University of Bangladesh, Dhaka, Bangladesh1
CS dept., National Institute of Development, Administration, Thailand1
CSE dept., Stamford University Bangladesh, Dhaka, Bangladesh1
PLA University of Science and Technology, China1
PLA University of Science and Technology, China and State Key Lab. for Novel Software Technology, Nanjing University, China1
College of Computer and Information, Hohai University, China and Key Lab. of Image and Video Understanding for Social Safety, Nanjing University of Science & Technology, China1
Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore1
Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France1
School of Cyber Engineering, Xidian University, Xi’an, China1
Nokia Research Center, Beijing, 100084, China1
Concordia University, Electrical and Computer Engineering, Montreal, Canada1
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK; Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland1
Vols Taipei1
The Rowland Insitute at Harvard, Cambridge, MA, USA1
Instituto Tecnológico de Tijuana, Tijuana, México1
Multimedia and Vision Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK1
Department of Psychology, University of Pittsburgh and Carnegie Mellon University, USA1
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia1
RWTH Aachen University, Aachen, Germany1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
Beijing Institute of Remote Sensing Information, Beijing, China1
Department of Electrical Engineering, University of Tulsa, Tulsa, USA1
Signal Theory and Communications Department, University of Vigo, jalba@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, lpfreire@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, pcomesan@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, fperez@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, danisub@gts.tsc.uvigo.es1
School of Electronics Information Engineering, Tianjin University, Tianjin, China1
LIGM (UMR CNRS), École des Ponts ParisTech, Université Paris-Est, France1
Équipe Galen, INRIA Saclay, Île-de-France, France1
Center for Visual Computing, École Centrale Paris, France1
Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China1
School of Computer and Information Science, Southwest University, Chongqing, People’s Republic of China1
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA1
School of Electrical Engineering and Computer Science, Seoul National University, #47, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-744, Korea. phone: 82-2-880-7313; fax: 82-2-885-4459; email: chchoi@csl.snu.ac.kr1
School of Electrical Engineering and Computer Science, Seoul National University, #47, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-744, Korea. phone: 82-2-880-7313; fax: 82-2-885-4459; email: kara@ocsl.snu.ac.kr1
Universiti Kuala Lumpur, Kedah1
Department of Cognitive Science, Fujian key laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
ITEE, The University of Queensland, Australia1
Indian Institute of Science, Bangalore, India. lkrao@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. krr@ee.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. saisiva@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. jayyagnik@rishi.serc.iisc.ernet.in1
Department of Computer Science, Shandong University at Weihai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
CSEE Department, University of Missouri Kansas City, Kansas City, USA1
College of Information Engineering, Northwest A&F University, Yangling, China1
IRIT-ENSEEIHT, FRANCE1
LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France1
Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
University of California at Berkeley, Berkeley1
Department of Psychology, University of Florida, Gainesville, USA1
Department of Psychology, Ohio University, Athens, USA1
Modelling, Simulation & Gaming TNO, The Hague, The Netherlands1
Mar-Baselious Institute of Technology & Science, Kothamangalam, Kerala, India1
Mahatma Gandhi University, School of Computer Sciences, Kottayam, Kerala, India1
Oxford Brookes University and Sony Computer Entertainment, London, UK1
Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Beijing Key Laboratory of Network System and Network Culture, Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, H3G 1T7, Canada1
Department of Electrical and Computer Engineering, Concordia University, QC, Canada, H3G 1T71
Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France1
Eskisehir Osmangazi University, Meselik Kampusu, 26480, Turkey1
Dept. of Computer Science, Jinan University, Guangzhou, China, 5106321
Department of Computer Science and Engineering, Michigan State University, United States1
Computer Engineering Department, Istanbul Technical University, Turkey1
Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland1
Computer Engineering Department, Bogazici University, Istanbul, Turkey1
Computer Science and Engineering; University of California, San Diego, La Jolla, CA, USA1
Universitat Oberta de Catalunya, Barcelona, Spain1
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China1
Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France1
Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France1
Department of Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy1
Image, Video and Multimedia Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece1
Department of Computer Engineering, School of Technology and Business Studies, Dalarna University, Sweden1
The School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China1
Eindhoven University of Technology1
ViNotion, Eindhoven, The Netherlands1
Trident Microsystems, Eindhoven, the Netherlands, Eindhoven University of Technology, the Netherlands1
Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran1
University of Minnesota, Morris1
Cognitive Science, Hampshire College1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
School of Information Technology in Education, South China Normal University1
Hainan University, China1
Nissan Research Center, Silicon Valley, USA1
Tractebel Energia, São Jorge do Oeste, Brazil1
Electrical Engineering Department, Princeton University, Princeton, USA1
TAMS, Department of Informatik, University of Hamburg, Vögt-Kölln-Straße 30, 22527, Hamburg, Germany. Email: zhang@informatik.uni-hamburg.de1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: dcszb@mail.tsinghua.edu.cn1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: wdong01@mails.tsinghua.edu.cn, dcszb@mail.tsinghua.edu.cn1
College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China1
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, USA1
Department of Computer Science & Engineering, National Institute of Technology Rourkela, Odisha, India1
Institute of Engineering and Computational Mechanics, University of Stuttgart, Stuttgart, 70569, Germany1
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA1
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China1
Department of Electronic Engineering, East China Normal University, Shanghai, P.R. China1
Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, USA1
Faculty of Sciences and IT, Zarqa University, P. O. Box 2000, 13110 Jordan1
Computer Science Department, Boise State University, ID 83725, USA1
Computer Science Department, College of Computer Science, King Khaled University, Abha, Saudi Arabia1
CIS Department, Faculty of Computer and Information Technology, Jordan University of Science & Technology, Jordan1
Department of Computer Science, University of Bucharest, Bucharest, Romania1
Faculty of Math. and Computer Science, University of Bucharest, Bucharest, Romania1
Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands1
Georgia Tech, Atlanta, GA, USA1
Indian Institute of Information Technology & Management, Gwalior, India1
B. S. A. College of Engineering & Technology Mathura, India1
Washington University in St. Louis, St. Louis, USA1
Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany1
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia1
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland1
Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France1
King Abdullah University of Science and Technologh, V.C.C. Research Center, Thuwal, Saudi Arabia1
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France1
Key Laboratory of Measurement and Control for Complex System of Ministry of Education, Southeast University, Nanjing, China1
Department of Automation, Southeast University, Nanjing, China1
Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX, USA1
Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney, Australia1
Application Innovation Consultant with IBM, Taipei, Taiwan1
INSA CVL, Univ. Orléans, PRISME EA 4229, Bourges, France1
Department of Applied Math., Islamic Azad University, South Tehran Branch, Tehran, Iran1
Department of Electrical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Young Research Club, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. eackot@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. bapp0001@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. exdjiang@ntu.edu.sg1
VRVis Research Center for Virtual Reality and Visualization,n Graz, Austria, Email: gruber@vrvis.at1
Institute for Computer Graphics and Vision, Graz University of Technology, Austria, Email: bischof@icg.tu-graz.ac.at1
Institute for Computer Graphics and Vision, Graz University of Technology, Austria, Email: hgrabner@icg.tu-graz.ac.at1
Institute for Computer Graphics and Vision, Graz University of Technology, Austria, Email: thuy@icg.tu-graz.ac.at1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Electronics Engineering, Bharath University, Chennai, India1
University of Nottingham (Malaysia Campus), Malaysia1
Institute for Infocomm Research (I2R), A*STAR, Singapore1
Xidian University, Xian Shi, China1
School of Information Systems, Singapore Management University, Singapore1
Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China1
Gipsa-Lab, Saint Martin d’Heres, France1
ICA Laboratory, Grenoble, France1
Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia1
Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China1
Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
IIIT Hyderabad, 500032, A.P, India1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France1
INRIA, Montbonnot, France1
California Institute of Technology, Pasadena, USA1
Dept. of Computer Science, University of North Carolina, Chapel Hill, USA1
CSE Department, Regional Campus, Anna University, Tirunelveli, India1
Film Department ELTE University, Budapest, Hungary1
Atos Turkey, Ankara, Turkey1
Defence Research and Development Canada, Toronto, Ontario1
United States Air Force Research Laboratory, Dayton, OH1
Army Research Laboratory, Sensors and Electron Devices Directorate1
Faculty of the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China1
school of Software Engineering, Xi’an Jiaotong University, Xi’an, China1
School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China1
Institute of High Performance Computing, National University of Singapore, Singapore1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada1
Research Center of Information and Control, Dalian University of Technology, Dalian, China1
Graphics an Media Laboratory, Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
Toyota Research Institute, Ann Arbor, USA1
Mitsubishi Electric Research Laboratories, Imaging Group, Cambridge MA, 02139, USA1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Dartmouth College, Hanover, NH, USA1
Department of Electrical and Computer Engineering, and director of CyLab Biometrics Center, Carnegie Mellon University, USA1
Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA1
University of Illinois at Urbana Champaign, Urbana1
Nanyang Technological University and Advanced Digital Science Center, Singapore1
Department of Clinical Psychology and Psychotherapy, University of Hamburg, Hamburg, Germany1
State University of Sao Paulo in São Carlos, São Carlos, Brazil1
Computer Vision Laboratory, Linköping University, Sweden1
Department of Computer Science, Faculty of Automatics and Computer Science, “Politehnica” University of Bucharest, Romania1
Tsinghua University, Beijng, China1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And Technology for, Women, Nagpur, Maharashtra, India1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And, echnology for Women, Nagpur, Maharashtra, India1
Medical Psychology, Ulm University, Ulm, Germany1
University of Southern California University of Southern California, Los Angeles1
University of Southern California (USC), Los Angeles1
University of Puerto Rico Bayamon, Bayamon, Puerto Rico1
Codespring LLC, Cluj-Napoca, Romania1
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
Electrical Engineering Department, University of California, Santa Cruz, USA1
Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA1
MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science and Engineering, Center for Brain-Like Computing and Machine Intelligence, Shanghai Jiao Tong University, Shanghai, China1
University of Tokushima, Shinkura-cho, Tokushima 770-8501, Japan1
University of Konstanz, Konstanz, Germany1
Tsukuba University, Tsukuba, Japan1
Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes / CNRS, Grenoble, France1
SafranTech, Safran, Magny-les-Hameaux, France1
School of Finance and Statistics, East China Normal University, China1
Department of the Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea1
DAQRI Inc., Los Angeles, California, USA1
Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea1
University of British Columbia (Okanagan), Kelowna, BC, Canada1
Nippon Soken, Nishio, Japan1
Ascent Robotics, Tokyo, Japan1
Faculty of Information Technology, University of Moratuwa1
Department of Informatics, University of Oslo, Norway1
CERCIA, School of Computer Science, University of Birmingham, UK1
Austrian Institute of Technology, Austria1
Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
Guangdong University of Foreign Studies, Cisco School of Informatics, Guangzhou, China1
Western Kentucky University, Department of Computer Science, Bowling Green, KY, USA1
College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China1
College of Electronic and Information Engineering, Sichuan University, Chengdu, Sichuan, China1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA1
Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania1
Department of Psychology, University of Illinois at Chicago, Chicago, IL1
Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA1
Dept. Electronic Engineering, National University of Ireland, Galway1
Northwestern Polytechnical University1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom1
ETH Zurich, Switzerland; KU Leuven, Belgium. vangool@esat.kuleuven.be1
ETH Zurich, Switzerland. konrads@vision.ee.ethz.ch1
ETH Zurich, Switzerland. leibe@vision.ee.ethz.ch1
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China1
Meiji University, School of Science and Technology, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA1
Indian Institute of Information Technology, Allahabad - India 1404131
Electrical Engineering and Computer Science Department, University of Missouri, Columbia, MO, USA1
ECE Department, Union College Schenectady, NY 12308, USA1
Department of Psychology, Washington University in St Louis, St Louis, USA1
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA1
Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia1
Minneapolis, USA1
Applied Mathematics, University of Washington, Seattle, Washington United States1
UBTech Sydney Artificial Intelligence Institute, The University of Sydney, Darlington, NSW, Australia1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Kanagawa, Japan1
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa, Japan1
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong1
College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China1
Dept. of Software Engineering, ShenZhen Polytechnic, 518055,China1
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, USA1
Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, USA1
EURECOM, Route des Chappes, France1
School of Mathematical Science, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China1
Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi1
Bilgisayar Mühendisliği Bölümü, Atatürk Üniversitesi, Erzurum, Türkiye1
Department of Electrical and Computer Engineering, College of Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Department of Computer and Information Science, College of Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, USA1
Department of Electrical and Computer Engineering, University of Missouri, Columiba, MO, 65211, USA1
Dept. of Electrical Engineering, Princeton University, USA.1
Institut de Robòtica i Informàtica, Industrial (CSIC-UPC), Spain1
UMass Lowell, USA1
Artesian Insights, Houston, USA1
Texas A&M AgriLife Blackland Research and Extension Center, Temple, USA1
Department of Ecosystem Science and Management, Texas A&M University, College Station, USA1
North Acton, London1
Electrical Engineering and Computer Science, Graduate School of Science and Technology, Kumamoto University, Japan1
Electrical Engineering Department, Engineering Faculty, Mataram University, Indonesia1
Department of Informatics, ISEE, Kyushu University, Fukuoka, Japan1
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan1
The University of Western Australia Crawley, Western Australia1
Eastman Kodak, Rochester, NY, USA1
Department of ECE, University of Dayton, Dayton, OH, USA1
ODU Vision Lab, Old Dominion University, Norfolk, VA, USA1
Forensics and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore1
New Delhi, India1
MSIT, C-4 Janakpuri1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
University of Rhode Island, Kingston, USA1
Electrical Engineering Department, National Cheng Kung University, Taiwan1
ETH Zürich, Photogrammetry and Remote Sensing Group1
TU Darmstadt, Computer Science Department1
School of Mathematical Sciences, Fudan University, China1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kulim, Kedah, Malaysia1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR1
School of Computer Science and Engineering, Nanjing University of Science and Technology, Naniing, 210094, China1
Adobc Research, Adobe Systems Inc, San Jose, California, 58584, United States1
University of Oxford, United Kingdom1
University of Hail, Saudi Arabia1
College of information engineering, Sichuan Agricultural University, Yaan 625014, P.R. China1
School of Computer Science, Sichuan University, Chengdu, China, 6100651
School of Computer Science, Chengdu University of Information Technology, Chengdu, China, 6102251
INRIA Grenoble, LEAR - LJK, Montbonnot, France1
Department of Computer Science, Brown University, Providence Rhode Island, 02912, USA1
Institute of Real Time Learning Systems, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany1
Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand1
Guangdong Key Lab of Information Security, Sun Yat-Sen University, School of Data and Computer Science, Guangzhou 510006, China1
IRISA, University of Rennes 11
INRIA Rennes-Bretagne-Atlantique1
Commonwealth Scientific and Industrial Research Organization (CSIRO)1
University of Canberra, Austrlia1
Shenzhen Graduate School, Harbin Institute of Technology, 518055, China1
Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China1
Rakuten Institute of Technology, Singapore 0489461
Department of Information Technology, Delhi Technological University, Delhi, India1
Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India1
Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY1
International Institute of Information Technology, Hyderabad, Telangana, India1
School of Information Engineering, North China University of Technology, China1
Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C.1
Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.1
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
GIPSA-lab, Grenoble, France1
ACROE-ICA, Grenoble, France1
Department of Computer Science and Technology, Tsinghua University1
USC Institute for Creative Technologies, 12015 Waterfront Drive1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States1
Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan1
Department of CSE, PDPM-IIITDM, Jabalpur1
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 6375531
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China. Email: ymwen@cqu.edu.cn1
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China.1
University of Pittsburgh, PA 15260, USA1
Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore 3084331
Istituto Italiano di Tecnologia & University of Verona, Genoa & Verona, Italy1
Istituto Italiano di Tecnologia & University of Genoa, Genoa, Italy1
Istituto Italiano di Tecnologia, Genoa, Italy1
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK1
Department of Photogrammetry, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China1
Arizona State University, Phoenix, AZ, USA1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
Research Institute for Nanodevice and Bio Systems, Hiroshima University, Higashi-Hiroshima, Japan1
HiSIM Research Center, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Advanced Sciences of Matter, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
Institute of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
NICTA, Canberra Research Laboratory, Canberra, Australia1
Computer Vision Center, Campus UAB, 08193, Bellaterra, Spain1
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Electrical and Information Engineering, University of Perugia, Perugia, Italy1
Department of Computer Science, University of Western Ontario, London, Canada1
School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, College of Computer Science, Sichuan University Chengdu, China1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523, USA1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. msavvid@ri.cmu.edu1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. rbhagava@andrew.cmu.edu1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Research Science, Facebook, United States1
Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal1
Imperial College, London, England1
Kingston University, Kingston upon Thames, England1
Anhui University, HeFei, China and Chinese Academy of Sciences, Beijing, China1
Department of Information Management, Yuan Ze University, Taoyuan, China1
Université Lyon 1, Villeurbanne-Cedex, France1
University of Pittsburgh, USA1
Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa1
Department of Computer Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Kiwi Technology Inc., Nanjing, China1
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China1
University at Buffalo, The State University of New York, Buffalo, NY, USA1
Department of Geography Information Science, Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China1
National Cheng-Kung University, Tainan, Taiwan Roc1
VCC SIAT Shenzhen & University of Konstanz, Konstanz, Germany1
Nanyang Technological University, Centre for Multimedia and Network Technology (CeMNet), School of Computer Engineering, Singapore1
Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye1
Department of Pediatrics, Maxima Medical Center Veldhoven, The Netherlands1
The State Key Laboratory of Integrated Services Networks (ISN), Xidian University, Xi’an, China1
Department of Electronic and Engineering, Xidian University, Xi’an, China1
School of Information Science and Engineering, YanShan University, Qinhuangdao, China1
Graduate School of Information, Production and System, Waseda University, Tokyo, Japan1
Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Technology School of Navigation, Wuhan University of Technology, Wuhan, People’s Republic of China1
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, People’s Republic of China1
Institute for Deep Learning, Baidu, Sunnyvale, CA, USA1
Aalborg University1
Microsoft Advanced Technology Center, Beijing, China1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy1
Cadres Online Learning Institute of Yunnan Province, Yunnan Open University, Kunming, China1
National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
VTT Technical Research Centre of Finland, Oulu, Finland1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
College of Engineering, Huazhong Agricultural University, Wuhan P.R. China 4300701
School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea1
Department of Computer Science, University of Kiel, Kiel, Germany1
Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany1
Department of Mathematics and Computer Science, University of Münster, Münster, Germany1
Queensland Parks and Wildlife Service, Australia1
Army Research Office, RTP, Raliegh, NC, United States of America1
Intel Corporation & Portland State University, Hillsboro, OR, USA1
Synergy Innovation Center, Communication University of China1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
School of Data and Computer Science, Sun Yat-sen University1
University of Piraeus, Dept. of Digital Systems, Grigoriou Lambraki, Piraeus, Greece1
Shaanxi Normal University, Xi’an, China1
School of Computer Science and Engineering, Center for Cyber Security, University of Electronic Science and Technology of China, Chengdu, China1
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Yahoo! Research, Sunnyvale, CA, USA1
Yahoo! Research, San Francisco, CA, USA1
National Technical University of Athens & Yahoo! Research, Athens, Greece1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
Intel Science and Technology Center on Pervasive Computing, Seattle, WA 98195, USA1
The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA1
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA1
ABB Corporate Research China, Shanghai, China1
Max Planck Institute for Intelligent Systems, Perceiving Systems Department, 72076 Tübingen, Germany1
Department of Computer Science, Memorial University of Newfoundland, St. John’s, Canada1
Computer Science Department, Carnegie Mellon University. tk@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. epxing@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. gu@cs.cmu.edu1
LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France1
NVIDIA Research, New York, NY, USA1
The Graduate Center, CUNY, New York, NY, USA1
IASRG Lab, 4th Floor, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia1
Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea1
Image Understanding and Knowledge-Based Systems Group, Technische Universität München, Garching, Germany1
Microsoft Research, Beijing 100080, China1
LITIV, Polytechnique Montréal, Montréal, Canada1
School of Journalism and Communication, South China University of Technology, Guangzhou, China1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA1
Air Force Research Lab, Rome, USA1
Department of Chemical Equipment and Control Engineering, China University of Petroleum, Qingdao, China1
Dept. of Electronics Engineering, Erciyes University, Kayseri, Turkiye1
TÜBİTAK-National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkiye1
Universités Nice Sophia Antipolis, UMR 7271, I3S, F-06900, France1
University of Waterloo, Vision and Image Processing (VIP) Lab, Ontario, Canada1
Disney Research, Pittsburgh, PA, USA, 152131
Corporate Innovation OSRAM GmbH1
College of Automation, Harbin Engineering University, Harbin, China1
School of Software and Microelectronic, Northwestern Polytechnical University, Xi’an, China1
School of Geosciences, China University of Petroleum, Qingdao, China1
The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies, Guangzhou, China1
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK1
Universite de Rennes 1, Rennes, France1
École de Technologie Supérieure, Montréal, Canada1
Technical University of Munich, Garching, Germany1
Technical University Munich, Munich, Germany1
Ecole de Technologie Superieure, Montreal, Canada1
German Cancer Research Center, Heidelberg, Germany1
Sunnybrook Health Science Centre, Toronto, Canada1
University of Leeds, Leeds, UK1
Electrical Engineering and Computer Science, University of California at Merced, California, USA1
Technische Universitt Darmstadt, Computer Systems Group, Darmstadt, Germany1
Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Madrid, Spain1
FRAV, University Rey Juan Carlos, Móstoles, Spain1
Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Mexico, Mexico1
Graduate University of Chinese Academy of Sciences, Beijing, Chine1
IBM Research T. J. Watson Center, U.S.A1
Math Dept, Faculty of Science, Helwan University, Cairo, Egypt1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
LaBRI, CNRS, UMR 5800, F-33400 Talence, France1
Bournemouth University, Poole, UK1
Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China1
Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain1
Department of Computer Science, Faculty of Education-Shabwa, University of Aden, Aden, Yemen1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Queen Mary University of London (United Kingdom)1
School of Automation, Guangdong University of Technology, Guangzhou, 510006, China1
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518055, China1
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, China1
LG Electronics, Inc., South Korea1
School of Information Technology and Engineering, VIT University, Vellore, India1
Fundamental and Applied Science Department, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia1
Hewlett-Packard Labs, Palo Alto, CA, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China1
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy1
Department of Electrical and Computer Engineering, University of Toronto, Canada1
Naresuan University, Thailand1
BME, Tampere University of Technology, Tampere, Finland1
DEI, University of Padua, Padua, Italy1
Friedrich-Schiller-Universität Jena, Germany1
Robert Bosch Car Multimedia GmbH, Hildesheim, Germany1
Department of Computer Science, Xiamen University, Xiamen, China1
Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Department of Information Management, College of Management, National United University, Miaoli, Taiwan1
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Rochester Institute of Technology, Rochester, NY, USA1
Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt1
University of Nottingham at Ningbo, China1
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Al Riyadh, KSA1
Google, Duke University, NC, USA1
School of Mathematical Sciences, Liaocheng University1
Department of Statistics, University of California at Berkeley, Berkeley, USA1
International Computer Science Institute, University of California at Berkeley, Berkeley, USA1
Computer Science Department, Rensselaer Polytechnic Institute, Troy, USA1
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China1
Departement of Creative Multimedia Technology, Electronic Engineering Polytechnic, Institute of Surabaya (EEPIS), Surabaya, East Java1
Departement of Information and Computer Engineering, Electronic Engineering Polytechnic, Institute of Surabaya (EEPIS), Surabaya, East Java1
Informatics and Computer Departments, Electronic Engineering Polytechnic, Institute of Surabaya, Surabaya, Indonesia1
Anhui University & Chinese Academy of Sciences, Hefei, China1
Department of Computer Science and Engineering, Chinese University of Hong Kong, China1
Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology1
Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada1
ISEN Lille, Yncrea Hauts-de-France, France1
IMT Lille Douai, Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France1
Electrical and Computer Engineering, The Ohio State University1
U.S. Naval Research Laboratory, Washington DC, USA1
U.S. Naval Research Laboratory, Washington, DC 20375, USA1
Mixed Reality Laboratory, University of Nottingham, Nottingham, U.K.1
Nokia Research Center Hollywood,1
Microsoft Research,1
Computer Science and Artificial Intelligence Laboratory, MIT,1
Computer Graphics Laboratory, Department of Informatics & Telecommunications, University of Athens, Athens, Greece1
Walt Disney Imagineering, USA1
Dept. of ECE, College of Engineering, Northeastern University, Boston, USA1
Australian Centre for Visual Technologies, University of Adelaide, Adelaide, Australia1
Signals and Systems Group, Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands1
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Vietnam National University of Agriculture1
The Technion–Israel Institute of Technology, Haifa1
The Open University of Israel, Raanana1
Weizmann Institute of Science, Rehovot1
University of Chile, Chile1
Charles University in Prague, Czech Republic1
Tsinghua University, Beijing1
U.S. Army Research Lab, Adelphi1
University Of Maryland, College Park1
AEBC, Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore1
Universitat de Barcelona - CVC, Spain1
Chalearn, Berkeley, California, USA1
INAOE, Mexico1
Universitat Oberta de Catalunya - CVC, Spain1
Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria1
The University of North Carolina at Charlotte, Charlotte, USA1
SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp1
Computer Science Department, Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org1
Key Laboratory of Information Security and Intelligent Control of Shandong Province, Shandong Youth University of Political Science, Jinan, China1
Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia1
OR1
CMU, USA1
National Engineering Research Center for E-Learning, HuaZhong Normal University, Wuhan 430079, China1
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China1
University of Guelph, Guelph, Ontario, Canada1
School of Engineering, University of Guelph, Guelph, N1G2W1 Ontario, Canada1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
Chair of Signals and Systems, Department of EEMCS, University of Twente, Twente, The Netherlands1
AISIN AW Co., Ltd., Aichi, Japan1
OxCNL, University of Oxford, Oxford, U.K.1
Korea Electronics Technology Institute, Bundang-gu, Seongnam-si, Republic of Korea1
Inst. de Telecomunicações, Fac. de Ciências da Universidade do Porto, Porto, Portugal1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA1
Institute of Mathematical Science, University of Malaya1
UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia1
Universiti Tunku Abdul Rahman1
Science and Technology on Communication Information Security Control Laboratory, Jiangnan Electronic Communication Institute, Jiaxing, China1
Zhejiang Future Technology Institute, Jiaxing, China1
Department of Computer Science & Engineering, P.A. College of Engineering, Mangalore, Karnataka, India1
University of Michigan-Ann Arbor, United States1
Research Center for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi, Japan1
Department of Informatics 8 Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece1
ZTE Corporation, Shenzhen, China1
School of Computer Software, Nanjing University of Information Science and Technology, Nanjing, China1
Huazhong Institute of Electro-Optics-Wuhan National, Laboratory for Optoelectronicsm 430074, China1
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430074, China1
Enjoyor Co., Ltd, Hangzhou, China1
College of Mathematics and Statistics, Shenzhen Key Laboratory of Media Security, Shenzhen University, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong1
Institute of Engineering and Management, Kolkata, India1
Siemens Corporate Technology, Munich, Germany1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China1
School of Information and Computer Science, Aalto University, Aalto, Finland1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, People's Republic of China1
P.G Demidov Yaroslavl State University, Artificial Intelligence Center, Yaroslavl, Russian Federation1
Simon Fraser University, Vancouver, BC, Canada1
Zhejiang University of Media and Communications, Hangzhou, Zhejiang, China1
Simon Fraser University, Surry, BC, Canada1
International Computer Science Institute, Berkeley, USA1
Department of Electronic/Electrical Engineering, Loughborough University, Loughborough, UK. L.Chen@lboro.ac.uk1
College of IT Engineering, Kyungpook National University, Daegu, 702-701, Korea1
BioMediTech, University of Tampere, Finland1
Tampere University of Technology, Pori, Finland1
Instituto de Computação, Universidade Federal Fluminense, São Domingos, 24210-240 Niterói-RJ, Brazil1
Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland1
Northwestern Polytechnic University, Xi’an, China1
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, H.P-175001, India1
Department of Electrical and Electronics Engineering, University of Jaffna, Sri Lanka1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Electrical and Computer Engineering,. North South University, Bashundhara, Dhaka, Bangladesh1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
Polish-Japanese Institute of Information Technology, Warszawa, Poland1
Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Warsaw, Poland1
AGH University of Science and Technology, Kraków, Poland1
Polish-Japanese Institute of Information Technology, Warsaw, Poland1
Department of Computer Science, Cornell University, Ithaca, NY, USA1
IBM T.J. Watson Research Center, Hawthorne1
Microsoft Live Labs Research, Redmond1
Carnegie Mellon University, Pittsburgh1
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany1
Silent Talker Ltd1
George Mason University, USA1
Embedded Systems Research Group, Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand1
K.U.Leuven-ESAT-Psi, Belgium1
Electronics Research Institute, Sharif University of Technology, Tehran, Iran1
Adobe Systems Inc. &, University of Washington, USA1
Dept. of Elec. Eng., Port Said University, Egypt1
Max Planck Instutite for Intelligent Systems, Tüebingen1
Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: christophe.garcia@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: franck.mamalet@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: sebastien.roux@orange-ftgroup.com1
Maharshi Dayanand University, Rohtak, Haryana, India1
Computer Vision Group, Department of Informatics, University of Hamburg, Hamburg, Germany1
Institute of Computer Science VI, University of Bonn, Bonn, Germany1
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea1
Yahoo! Labs Bangalore1
Institut Pascal, Université Blaise Pascal/CNRS, Clermont-Ferrand, France1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. N.Poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. J.Kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. O.Fatukasi@surrey.ac.uk1
Dep. Inteligencia Artificial, Universidad Politécnica de Madrid, Spain1
Dep. Ciencias de la Computación, Universidad Rey Juan Carlos, Spain1
Department of Computer Science, Fudan University, China1
School of Information and Communication Technology, Griffith University, QLD, Australia1
School of Information Technology and Electrical Engineering, The University of Queensland, QLD, Australia1
Department of Computer Science, University of Sherbrooke, Sherbrooke, Canada1
Department of Computing, Macquarie University, NSW, Australia1
School of Computer Science and Engineering, The University of New South Wales, NSW, Australia1
Dipartimento di Ingegneria Enzo Ferrari-University of Modena and Reggio Emilia, Modena, Italy1
School of Electronic Science and Engineering, National University of Defense Technology, China1
School of Software Engineering, East China Normal University, China1
Department of Electrical and Computer Engineering, University of Louisville, USA1
FernUniversität , Hagen, Germany1
Universidad Tecnica Federico Santa Maria , Valparaiso, Chile1
Staffordshire University , Staffordshire, United Kingdom1
Department of Digital Media Technology, Huanggang Normal University, China1
Robotics Institute, Shanghai Jiao Tong University, Shanghai, China1
Valeo Vision Systems, Ireland1
Columbia University, United States1
Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan1
Department of Electronics, AGH University of Science and Technology, Krakow, Poland1
Department of Computer Science, AGH University of Science and Technology, Krakow, Poland1
ENSTA ParisTech, 32 Blvd Victor, 70539 Paris Cedex 151
INESC-ID and IST/UTL, Lisboa, Portugal1
IT and IST/UTL, Lisboa, Portugal1
INESC-ID, Lisboa, Portugal1
Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India1
Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea1
Shanghai Key Lab of Intel. Info. Processing, School of Computer Science, Fudan University, China1
Faculty of Electrical Engineering, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China1
National ICT Australia, Canberra1
Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran1
Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China1
State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China1
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China1
Department of Mathematics and the State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China1
Department of Mathematics, Zhejiang University, Hangzhou, China1
Institute of Informatics and Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
School of Mathematics, University of Manchester, Manchester, U.K.1
Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: king@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: lyu@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: jkzhu@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: hbdeng@cse.cuhk.edu.hk1
Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India1
Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK1
School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, China1
College of Electronics and Information, Xi’an Polytechnic University, Xi’an, China1
School of Information, Central University of Finance and Economics (CUFE), Beijing, China1
Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
Department of Information Engineering and Computer Science, Feng Chia University, Taiwan1
School of Electronic Science and Engineering, National ASIC Research and Engineering Center, Southeast University, Nanjing, China1
Electronics and Telecommunications Research Institute (ETRI), Republic of Korea1
Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan1
School of Software Engineering, Ministry of Education Key Laboratory, Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, People’s Republic of China1
College of Computer Science, Chongqing University, Chongqing, People’s Republic of China1
University of Central Florida, Orlando, USA1
Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, USA1
Faculty member of Department of Computer Engineering, Sheikh Bahaei University, Isfahan, Iran1
Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran1
Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China1
Center for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada1
University of Tokyo and JST ERATO1
School of Design, Hunan University, Changsha, China1
Computer Science and Engineering, POSTECH, Pohang, 790-784, South Korea1
Information and Communication Engineering, DGIST, Daegu, South Korea1
Electronic Engineering and Computer Science, University of Michigan, Ann Arbor, United States1
Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China1
School of Mathematics and Statistics, The University of Western Australia, Nedlands, WA, Australia1
Department of Computer Science and Engineering, Qatar University, Doha, Qatar1
Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China1
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China1
Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, China1
School of Computer Information and Engineering, Beijing Technology and Business University, Beijing, China1
L. D. College of Engineering, India1
College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China1
Engineering and Technology College, Sichuan Open University, Chengdu, China1
Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science, University College London, London, U.K.1
Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain1
CMLA, ENS Cachan, 61 Av. du Président Wilson, 94235 Cachan CEDEX, France1
Department of Mechanical Engineering, Istanbul Technical University, Beyoglu, Istanbul, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, Maslak, Istanbul, Turkey1
Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China1
Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
Communication System Engineering, Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
VNU University of Science, Vietnam National University, Hanoi, Vietnam1
University of Information and Communication Technology, Thai Nguyen University, Quyet Thang, Thai Nguyen City, Vietnam1
Information Science Department, Center for Information Science and Technology Computer, Temple University, Philadelphia, USA1
Department of Electronics Engineering and Computer Science, Tung-Fang Design University, Kaohsiung County, Taiwan1
Electrical Engineering Department, Bu-Ali Sina University. Hamedan, Iran1
Autism Clinic for Translational Research, Brain & Mind Research Institute, Central Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia1
iMinds Krook.LAB, Ghent, Belgium1
Electronics and Information Systems Department, Ghent University - iMinds, Ghent, Belgium1
Modeling of Systems And Internet Communication, University of Antwerp - iMinds, Antwerp, Belgium1
Department of Information Technology - IBCN, Ghent University - iMinds, Ghent, Belgium1
Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland1
Department of Computer Engineering, Yeungnam University, Korea1
School of Computer Science and Information Technology, RMIT University, Melbourne, 3001, Australia1
Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India1
Université Laval, Québec, Canada1
McGill University, Montreal, Canada1
Université de Rennes 1, Rennes, France1
Ulm University of Applied Sciences, Ulm, Germany1
DKFZ, Heidelberg, Germany1
Université de Sherbrooke, Sherbrooke, Canada1
SmartPeep, Masai, Malaysia1
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan1
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, P. R. China1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, China1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Dept. of Information Engineering, Faculty of Engineering, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan, +81 25 262 74991
Graduate School at Shenzhen, Tsinghua University, China1
Signal Processing Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland1
Department of Medicine, University of British, Columbia, Canada1
School of Engineering of São Carlos, USP, São Carlos, Brazil1
College of Information Engineering and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China1
NTNU, Norway1
Toyota Technological Institute at Chicago, 1427 E. 60th Street, IL 60637, USA1
LEAR, INRIA Grenoble Rhône-Alpes1
Digital Media Institute, Hunan University, Changsha, 410082 P.R. China1
College of information science and engineering, Hunan University, Changsha, 410082 P.R. China1
Department of Electric and Electronic Engineering, Avrasya University, Trabzon, Turkey1
Department of Electric and Electronic Engineering, Selçuk University, Konya, Turkey1
BIWI, ETH Zürich and MPI Informatik, Switzerland1
Electrical Engineering Department, University of Azad Jammu and Kashmir, Muzaffarabad (AJK), Pakistan1
Electrical (Power) Engineering Department, Mirpur University of Science and Technology, (AJK), Pakistan1
Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey1
Department of Electrical and Electronics Engineering, TED University, Cankaya, Ankara, Turkey1
LMU Munich, Germany and Munich University of Applied Sciences, Germany1
Department of IT Sree Vidyanikethan Engineering College Tirupati, India1
Department of ECE, NEC, Narasaraopet, India1
Department of ECE Anurag Group of Institutions, Hyderabad, India1
Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India1
Yonsei University, South Korea1
ACM Professional Specialist in Artificial Intelligence1
Université du Quebec a Rimouski (UQAR)1
Autonomous University of Madrid, Madrid, Spain1
Department of Statistics and Computer Science, Los Angeles, CA1
Department of Statistics, University of California at Los Angeles, Los Angeles, CA1
Electrical and Electronics Engineering, Nanyang Technological University, exdjiang@ntu.edu.sg1
IT Service, University of Reading, Reading, United Kingdom, RG6 6AY1
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China, 3002041
Department of Computer Engineering, Punjabi University, Patiala, India1
Computer Science & Engineering, UIET, Chandigarh, India1
Department of Informatics, Universidade Federal do Paraná, Brazil1
Cornell Tech1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China1
Edward S. Rogers, Sr. Department of Electrical and computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada1
First Research Institute of the Ministry of Public Security of People’s Republic of China, Beijing, China1
Department of Electrical and Computer Engineering, Nanyang Technological University, Singapore1
Advanced Digital Science Center, Singapore1
Lancaster University, Lancaster, United Kingdom1
System Engineering Research Group, ARKADIUS, Universidad de Medellin, Colombia1
Universidad Nacional de San Juan, Argentina1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China1
Bilgisayar Mühendisliği Bölümü, İstanbul Üniversitesi, Turkey1
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey1
School of EEE, NTU, Singapore1
I2R, A*STAR, Singapore1
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur. Malaysia1
Faculty of Information Technology, Multimedia University, Selangor Darul Ehsan. Malaysia1
Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada1
TUBITAK - UZAY, Ankara, Turkey1
Cairo University, Biomedical Engineering, Cairo, Egypt1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
German Research Center for Artificial Intelligence (DFKI), University of Kaiserslautern, Kaiserslautern, Germany1
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China1
School of Information Science & Technology, Jiujiang University, Jiujiang, China1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
University College London, UK1
School of Information Science and Engineering, Yunnan University, Kunming, China1
Digital Signal Processing Research Lab, Department of Electrical Engineering, Isfahan University of Technology, Iran1
Islamic Azad University of Najaf Abad, Isfahan, Iran1
Kielce University of Technology, Kielce, Poland1
Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy1
Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China, Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University, Ministry of Education Guangzhou, China1
Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China1
Universität Bielefeld, Bielefeld, Germany1
INRIA Grenoble Rhône-Alpes, Montobonnot, France1
Department of Computer Science, South Tehran Branch, Islamic Azad University, Tehran, Iran1
Institut de Robòtica i Informàtica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Catchoom, Barcelona, Spain1
Free University of Bozen-Bolzano, Bolzano, Italy1
Division of Mechanical Convergence Engineering, Silla University, Busan, 46958, Korea1
Ternopil National Economic University1
New Jersey Institute of Technology, University Heights, Newark, USA1
National Institute of Informatics, Chiyoda-ku, Japan1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. senjian@cs.curtin.edu.au1
Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, Hangzhou, China1
Faculty of Science, Informatics Institute, Intelligent Robotics Lab, University of Amsterdam, Amsterdam, The Netherlands1
School of Computing Science, Computer Science Department, Carnegie Mellon University, Pittsburgh, USA1
Computer Science Institute VI: Autonomous Intelligent Systems, University Bonn, Bonn, Germany1
Shenzhen Key Laboratory of Media Security, College of Mathematics and Statistics, Shenzhen University, Shenzhen, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
NYU, USA1
BYU, USA1
Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan1
Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan1
Department of Computer Sciences, Thompson Rivers University, Kamloops, BC, Canada1
Los Alamos National Laboratory and University Of Washington1
Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal1
Technical University of Lisbon, Lisbon, Portugal1
Institue for Information Technology, National Research Councilof Canada, NB, Moncton, E1A 7R11
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA1
Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia1
Centre of Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy1
Division of Psychology and Language Sciences, University College of London, London, UK1
Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Caserta, Italy1
GIPSA-Laboratory, Université Grenoble Alpes, Grenoble, France1
Faculty of Information Technology, Vietnam Maritime University, Haiphong, Vietnam1
Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, The State University of New York at Binghamton, Binghamton , NY, USA1
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China1
Department of Electrical Engineering, Chang Gung University, Taipei, Taiwan1
School of Information Technology, Monash University Malaysia, Bandar Sunway, Malaysia1
College of Engineering, Huaqiao University, Fujian, China1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: tu@research.ge.com1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: liux@research.ge.com1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: wheeler@research.ge.com1
Computer Science Department, University of Maryland, College Park, USA1
Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China1
Digital Media Art Department, Sichuan Film and Television University, Chengdu, China1
Business School of Sichuan University, Chengdu, China1
School of Electrical Engineering, Queen Mary University of London, UK1
Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France1
Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India1
Multimedia and Information Security Lab, ABV-Indian Institute of Information Technology and Management, Gwalior, India1
University of Oxford, Cambridge, UK1
Microsoft Research Cambridge, Oxford OX, UK1
University of Oxford and Nankai University, Nankai, Tianjin, China1
State Key Laboratory of Tribology Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China1
Key Laboratory of Ministry of Education for Optic Fiber Sensing Technology and Information Processing, Wuhan University of Technology, Wuhan, Hubei Province, China1
Department of Electrical and Computer Engineering and the Center for Automation Research, University of Maryland, College Park, MD, USA1
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye1
Department of Computer Science, University of Beira Interior Rua Marquês de Ávila e Bolama, 6201-001 Covilhã, Portugal1
LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France1
CSE Department, College of Engineering, Qatar University, Doha, Qatar1
Department of Electrical Engineering, University of Windsor, Ontario, Canada1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece1
The Allen Institute for AI, 2157 N Northlake Way Suite 110, Seattle, WA 98103, United States1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. sabah.jassim@buckingham.ac.uk1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. harin.sellahewa@buckingham.ac.uk1
University of California at Los Angeles, Los Angeles1
NARI Group Corporation, Nanjing, China1
Technion, Israel Institute of Technology, Haifa1
Yahoo! Research, Haifa1
Alibaba Group, Zhejiang, People’s Republic of China1
Computer Science, Arizona State University, Tempe, USA1
DIMACS CORE, Rutgers Univ., Piscataway, NJ, USA1
School of Information Science and Engineering, Shenyang University of Technology, China1
Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan1
LIRIS, INSA-Lyon, CNRS, UMR5205, University of Lyon, Lyon, France1
REGIM-Lab, ENIS, University of Sfax, Sfax, Tunisia1
School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China1
SONY Electronics Inc., San Jose, CA, 95112, USA1
UC Berkeley/ICSI, California, United States1
UC Davis, 1 Shields Ave, Davis, CA 95616, United States1
An Independent Researcher1
Florida Institute of Technology1
Institute of Public Administration, Riyadh, Saudi Arabia1
Department of Computer Science, Ocean University of China, Qingdao, China1
Center for Imaging Sciences, The University of Manchester, Manchester, UK1
Department of Electronic Engineering, Ocean University of China, Qingdao, China1
Chung-Ang University, Computer Science and Engineering Dpt., Korea1
Research and Academic Computer Network (NASK), Biometrics Laboratory, Poland1
Department of Computational and Applied Mathematics, Rice University, Houston, USA1
University of Rochester, Rochester, USA1
Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Portugal1
Intelligent Vision Research Lab, Federal University of Bahia, Brazil1
College of Mathematics and Computational Science, Shenzhen University, China, 5180601
University of Sfax, CES Laboratory, Tunisia1
University of Burgundy, Le2i, BP 47870 21078 Dijon, France; University of Sfax, CES Laboratory, Tunisia1
University of Oslo, Oslo, Norway1
School of Information Engineering, Guangdong University of Technology, Guangzhou, China1
K.U. Leuven, ESAT-PSI, Leuven, Belgium1
University of Reading, UK1
Computer Science &Engg., School of Computer Science & IT DAVV, Indore, India1
Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK1
Visual Information Laboratory, Department of Computer Science, University of Bristol, Bristol, UK1
Texas A&M University, college station, TX, USA1
Texas A&M Univerisity, College Station, TX, USA1
Texas A&M University, College Station, TX, USA1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, China1
OFFIS - Institute for Information Technology, Oldenburg, Lower-Saxony, Germany1
Dormity.com®, Sant Cugat del Vallès, Spain1
Servei Universitari de Recerca en Fisioteràpia (S.U.R.F), Escola Universitària Gimbernat, Sant Cugat del Vallès, Spain1
HERE Technologies, 425 W Randolph St, Chicago, Illinois, 60606, USA1
School of Advanced Technology and Science, Tokushima University, Tokushima, 770-8501, Japan1
NOAA /NGDC, 325 Broadway, Boulder, CO 80305, USA1
Microsoft Research, Redmond, United States1
Division of Computing Science & Maths, School of Natural Sciences, University of Stirling, Stirling, UK1
Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China1
College of Information Science and Engineering, Henan University of Science and Technology, Luoyang, China1
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China1
Department of Computer Science, University of Auckland, Auckland, New Zealand1
Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan1
Masaryk University , Brno, Czech Republic1
Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany1
Institute Integriert Studieren, Universität Linz, Linz, Austria1
Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA1
Department of Computer Science, Southern Illinois University, Carbondale, IL, USA1
Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montréal, QC, Canada1
BARC, Mumbai, India1
Carnegie Mellon University, Pittsburgh, Pa., USA1
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China1
The Key Laboratory of Embedded Systems and Service, Tongji University, Shanghai 200092, China1
Dept. of Electronics Engineering, Sangmyung University, Seoul, Korea1
Dept. of Copyright Protection, Sangmyung University, Seoul, Korea1
Video Processing and Understanding Lab, Universidad Autonoma de Madrid, Spain1
Shu-Te University, 59 Hengshan Rd., Yanchao Dist., Kaohsiung 824, Taiwan, (886)7-6158000#46261
National Penghu University of Science and Technology, 300 Liu-Ho Rd., Makung, Penghu, 880, Taiwan, (886)6-9264115#35011
Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea1
College of Computer Science and Electronic Engineering, Hunan Key Laboratory of Dependable Systems and Network, Hunan University, Changsha, People’s Republic of China1
Istanbul Technical University, Turkey1
IOC Research Institute, Universitat Politècnica de Catalunya, Barcelona, Spain1
Sukhoi State Technical University of Gomel, Gomel, Belarus1
Joint Institute for Nuclear Research, Dubna, Moscow oblast, Russia1
Institute of Computer Engineering, University of Lübeck, Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Modena, Italia1
University of Minnesota, Minneapolis, USA1
Forensic and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Key Laboratory of System Controal and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Department of Electrical Engineering, University of Petroleum (East China), Shandong, China1
TuSimple1
HRL Laboratories, LLC, Malibu, USA1
Department of EECS, University of California, Berkeley, USA1
Department of ECE, University of Illinois at Urbana-Champaign, Coordinate Science Laboratory, Urbana, USA1
Centre for Signal Processing, Department of EIE, The Hong Kong, Polytechnic University1
School of Informatics, The University of Edinburgh 11 Crichton Street, Edinburgh, EH8 9LE, United Kingdom1
School of Computer Science and Engineering, VIT University, Tamilnadu, India1
School of Information and Technology Engineering, VIT University, Tamilnadu, India1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK1
Graduate School, Xi'an University of Technology, China1
Faculty of Computer Science and Engineering, Xi'an University of Technology, China1
CEDRIC-Conservatoire National des Arts et Métiers, Paris, France1
USTECH(Beijing) Technology Co. Ltd., China1
Department of Fundamental Research, PLA Army Engineering University, China1
PLA Army Engineering University, College of Communication Engineering, China1
EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bicêtre, France1
L3i Laboratory, Université de La Rochelle, La Rochelle cedex 1, France1
Computer Vision Center, Departamento de Ciències de la Computació, Edifici O, Universitat Autònoma de Barcelona, Barcelona, Spain1
Department of Information Network Technology, Hsiuping Institute of Technology, No. 11, Gongye Rd., Taichung, 412, Taiwan1
Advanced Digital Sciences Center at University of Illinois, Singapore / Nanyang Technological University, Singapore1
Bilgisayar Müh. Bölümü, Orta Doğu Teknik Üniversitesi, Turkey1
Department of Informatics, Aristotle University of Thessaloniki, costas@aiia.csd.auth.gr1
Department of Informatics, Aristotle University of Thessaloniki, galba@aiia.csd.auth.gr1
LIAMA, French National Institute for Research in Computer Science and Control, Paris, France1
Intel Laboratory China, Beijing, China1
School of electrical and information engineering, Shandong University At Weihai, China1
School of Electronic and Electrical Engineering, Yonsei University, Seoul, South Korea1
Faculty of Information Science and Technology, Multimedia University, Malaysia1
School of Computing, National University of Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, 150080 China1
City University, Kowloon Tong, Hong Kong1
Radboud University, EC Nijmegen, The Netherlands1
TNO, Oude Waalsdorperweg, AK The Hague, The Netherlands1
Liaocheng University, Liaocheng, China1
School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China1
Fraunhofer FKIE, Wachtberg, Germany1
Institute of Computer Science III, University of Bonn, Bonn, Germany1
Dept. of Comp. Eng. Fac. of Eng., Gazi University Ankara, Turkey1
DAIS, University of Venice, Italy1
German Aerospace Center (DLR), Germany1
Computer Science Depart., Rochester University, USA1
Computer Science Depart., Cornell University, USA1
College of Communication and Information Engineering, Xi'an University of Science and Technology, China1
Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Hunan University of Humanities, Science and Technology, China1
Changzhou University, Changzhou, China1
High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China1
Department of Engineering Technology; University of North Texas1
Department of Computer Science and Engineering; University of North Texas1
Concordia Institute for Information Systems Engineering (CIISE), 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
Dept. of Computer Science and Software Engineering, Concordia University, 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
School of Engineering and Advanced Technology, Massey University1
Department of Electronic Computer Engineering, Hong Kong University of Science Technology1
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Research Center for Information Technology Innovation (CITI) and Institute of Information Science (IIS), Academia Sinica, Taipei, Taiwan1
Microsoft, Inc., Seattle, WA, USA1
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan1
School of Engineering, The University of Edinburgh, Edinburgh, U.K.1
College of Software and Communication Engineering, Xiangnan University, Chenzhou, China1
Department of Computer and Radio Communications Engineering, Korea University, Seoul, Republic of Korea1
School of Information Engineering, Henan University of Science and Technology, Luoyang, China1
LIG, CNRS, Grenoble, Cedex1
LIGM (UMR 8049), École des Ponts, UPE, Champs-sur-Marne, France1
Faculty of Information Technology, Macau University of Science and Technology, Macau1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong1
University of Tours, France1
Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa1
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York1
Institute for Transportation, Iowa State University, Ames, Iowa1
RMIT University, Vietnam1
Tolendata Singapore R&D Centre Private Limited, Singapore1
College of Computer Science & Software Engineering, Shenzhen University, China 5180601
School of Computer Science and Engineering, University of Science and Technology Liaoning, Anshan, China1
Beihai Yinhe Industry Investment Co., Ltd., China1
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom1
Department of Computer Science, University College London, Gower Street, London WC1E 6BT, United Kingdom1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
School of Software Engineering, Xi'an Jiaotong University, Xi'an, P.R.China1
Stanford University and Coursera1
Black Cat Science Inc., Boston, MA 02467, United States of America1
Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America1
Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America1
Siemens Molecular Imaging Ltd, Oxford, UK1
Mirada Medical Ltd, Oxford, UK1
Department of Engineering Science, University of Oxford, Oxford, UK1
Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, China1
Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Electronics and Computer Engineering, Korea University, Seoul, Korea1
Information Strategy Office, Nagoya University, Furo-cho, Chikusa-ku, Nagoya-shi, Aichi, Japan1
China University of Mining and Technology, China1
NAOC, Chinese Academy of Sciences, China1
ROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Reallusion Corporation1
National Taiwan Normal University1
Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
Computer Enginering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
The University of Tokyo, Bunkyo, Tokyo, Japan1
Keio University, Yokohama City, Japan1
National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan1
Computer Engineering Department, University at Albany, State University of New York, Albany, USA1
Computer Science Department, University at Albany, State University of New York, Albany, USA1
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Korea1
University of Technology Sydney, Broadway, Australia1
Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan1
Research Center for Institute of Information Science, Academia Sinica, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University1
Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA1
Open University of Israel, Ra’anana, Israel1
Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China1
Robotics Program, KAIST, Daejeon, Republic of Korea1
College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China1
Multimedia Communications Laboratory at University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam1
Department of Statistics, Carnegie Mellon University, Pittsburgh, USA1
Department of Communications and Networking (COMNET), Ambient Intelligence Group, Aalto University, Aalto, Finland1
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany1
Psychology, University of South Florida, Tampa, USA1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
Keio University, Minato-ku, Japan1
Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran1
Multimedia Lab, Department of Electrical and Computer Engineering, University of Toronto, Canada1
Halmstad University, Sweden1
Faculty of Engineering, University of Porto, Porto, Portugal1
INESC-TEC, Porto, Portugal1
Department of Computer Science, Bournemouth University, UK1
Uppsala University, Uppsala, Sweden1
CSIRO ICT Centre, Queensland, Australia1
The Mitre Corp, McLean, USA1
Eindhoven University of Technology, Eindhovem, Netherlands1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. jalba@gts.tsc.uvigo.es1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. danisub@gts.tsc.uvigo.es1
CVisionLab, LLC, Taganrog, Russia1
Strategy Office, Information and Communications Headquarters, Nagoya University, Japan1
School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, China1
School of Psychological and Cognitive Sciences, Peking University, Beijing, China1
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey1
Elektrik-Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey1
School of Information Technologies, The University of Sydney, NSW, Australia1
National Sun Yat-sen Unisersity, Taiwan1
KU Leuven (BE)1
Information Science School, Guangdong University of Finance and Economics, China1
Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. wgao@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. xlchen@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. sgshan@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. ysu@jdl.ac.cn1
School of Cancer and Enabling Sciences, Stopford Building, University of Manchester, Manchester, UK1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
FAST, Supélec, Avenue de la Boulaie, Cesson-Sévigné, France1
ISIR laboratory, Pierre and Marie Curie university, Paris Cedex 05, France1
Department of Computer Science, Wrocław University of Technology, Wrocław, Poland1
School of Electrical and Electronics Engineering, College of Engineering, Yonsei University, Seoul, Korea1
Department of Smart Systems Software, Soongsil University, Seoul, Korea1
Department of Information and Communication Technology, Soongsil University, Seoul, Korea1
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Department of Computer Science, University of Rochester, Rochester, NY, 14627, USA1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. mjchung@ee.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. akh@cheonji.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Information Security Research Division, Electronics and Telecommunications Research Institute, Yuseong-gu, Daejeon, 305-700, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Datang Guoxin Binhai Offshore Wind Power Co., Ltd1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan1
University of Aizu Aizu-Wakamatsu City, Fukushima, Japan1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Departement of Engineering Education, Utah State University, USA1
Mathematics Department, School of Computer Science, Bina Nusantara University, Indonesia1
Faculty of Science and Technology, Communication University of China, Beijing, China1
Science and Technology Department, Communication University of China, Beijing, China1
Collaborative Innovation Center, Communication University of China, Beijing, China1
Guru Gobind Singh Indraprastha University, University School of Information & Communication Technology, Sector 16-C, Dwarka, New Delhi-110078, India1
German National Library of Science and Technology (TIB), Hannover, Germany1
taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany1
Department of Film and Digital Media, Seokyeong University, Seoul, Republic of Korea1
Department of MediaSoftware, Sungkyul University, Anyang-si, Republic of Korea1
Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea1
Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada N2L 3G11
School of Information System and Management, National University of Defense Technology, Changsha, China 4100731
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
Université de Technologie Compiègne, 60200 Compiègne, France1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of Computing and Shenzhen School, The Hong Kong Polytechnic University, Kowloon, Hong Kong1
Department of Computer Science and Technology, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, Beijing, China1
Department of Computer Science, Aalto University, Espoo, Finland1
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan1
Department of Engineering, Nagoya Institute of Technology, Nagoya, Japan1
East China University of Science and Technology, Shanghai, China1
ERARGE, Ergünler Ltd. Şti, İstanbul, Türkiye1
Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye1
Huaqiao University, Quanzhou, Fujian 362021, China1
School of Information and Communication Engr., Sungkyunkwan University, Suwon, Korea1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea1
Center for Intelligent Robotics at Korea Institute and Technology (KIST), Seoul, Korea1
Department of Mechanical Engineering, Korea University, Seoul, Korea1
Joanneum Research, Graz1
Swiss Federal Institute of Technology, Lausanne1
Swiss Federal Institute of Technology, Lausanne and PatternLab1
University of Fribourg1
Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg1
Commissariat à l'Energie Atomique1
Pusan National University, Busan, Korea1
Department of Computer Science, Minjiang University, Fuzhou, China1
Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang, China1
School of Electronics Engineering, Kyungpook National University, Bukgu, Korea1
Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand1
Wroclaw University of Technology1
Shri JJT University, Rajasthan1
Department of ECE, CVR College of Engineering, Hyderabad1
P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu1
The Hong Kong Polytechnic University, Chu Hai College of Higher Education, Hong Kong, China1
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. n.poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. j.kittler@surrey.ac.uk1
School of Mathematics and Computational Science, Anqing Normal University, Anqing, People’s Republic of China1
Xerox Res. Centre Eur., Meylan, France1
Concordia Institute for Information Systems Engineering Concordia University, Montreal, Canada1
Center of Electronic Technology and Information Federal University of Amazonas Manaus, Brazil1
Center of Electronic Technology and Information, Federal University of Amazonas, Manaus, Brazil1
Instituto Nokia de Tecnologia, Manaus, Brazil1
Computer Engineering Dept., Gazi University, Ankara, Turkey1
Electrical&Elecronics Engineering Dept., Gazi University, Ankara, Turkey1
College of William and Mary1
LIP6, UPMC Université Paris 06, Paris1
UMI CNRS IPAL, LTCI, Télécom ParisTech, National University of Singapore, Paris1
Department of Interactive Media, Gachon University, Seongnam-si, South Korea1
Department of Electronic Engineering, Dankook University, Cheonan, South Korea1
Department of Computer Science, Namseoul University, Cheonan, South Korea1
Department of Applied Computer Engineering, Dankook University, Yongin-si, South Korea1
Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Catalonia, Spain1
Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gjøvik, Norway1
Faculty of Information Technology, Hue University of Sciences, Vietnam1
Department of Neurosurgery, University of Pittsburgh, PA 15213, USA1
Institute for Analytics and Data Science School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
Visual Computation, Queen Mary University, London, United Kingdom1
Indian Institute of Information Technology and Management, Madhya Pradesh, India1
School of Computer Science, Northwestern Polytechnical University, Shaanxi, China1
IRIT, Univ. Paul Sabatier, Toulouse, France1
National Computer Emergency Technical Team/Coordination Center of China, Beijing, China1
School of Cyber Science and Technology, Beihang University, Beijing, China1
Beijing Key Laboratory of Network Technology, Beihang University, Beijing, China1
Department of Computer Science, New York University, New York, NY, USA1
LIRMM, University of Montpellier / CNRS, France1
University of Nîmes, France1
Faculty of Computers and Information, Ain Shams University, Egypt1
Faculty of Computers and Information, BeniSuef University, Egypt1
Department of Electrical and Computer Engineering, College of the Computer and Information Science, Northeastern University, Boston, MA, USA1
Graduate Institute of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Department of Computer Science, University of Brasília, DF, Brazil 70910-9001
Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-9001
Automobile Transport Command Department, Military Transportation University, Tianjin, P.R. China1
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, P.R. China1
Institute of Information and Decision Technology, Dalian University of Technology, Dalian, People’s Republic of China1
ICT-ISVISION FRJDL, Institute of Computing Technology, CAS, Beijing, China1
University of New England, Armidale, Australia1
Dublin City University, Dublin, Japan1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
College of Computer Science, Chongqing University Chongqing, China1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, College of Computer Science, Chongqing University, Chongqing, China1
DCNS Research, 5 rue de l'Halbrane, 44340 Bouguenais, France1
Dept. of Electronic and Communications Technology, Autonomous University of Madrid, Madrid, Spain1
Dept. of Electrical Engineering, Aswan University, 81542 Aswan, Egypt1
Department of Computer and Information Sciences, Northumbria University1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. tubaro@elet.polimi.it1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it1
School of Computing Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Shenzhen Research Institute, Northwestern Polytechnical University, ShenZhen, China1
Natural Computing Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Department of Computer Science and Engineering, Sejong University, Seoul, South Korea1
Digital Contents Research Institute, Department of Software, Sejong University, Seoul, South Korea1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Advanced Medical Electronics, Maple Grove, MN 55369 USA1
Technical University of Delft, Delft, The Netherlands1
European Institute for Participatory Media, University of Applied Sciences Stralsund, Berlin, Germany1
Raytheon BBN Technologies, Cambridge, MA, USA1
IGG, University of Bonn, Bonn, Germany1
B-IT, University of Bonn, Bonn, Germany1
Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
Dept. of Medical Information Technology, Carinthia University of Applied Sciences, Primoschgasse 8, A-9020 Klagenfurt, Austria1
Carnegie Mellon University,USA1
School of Computer and Information, Anhui Polytechnic University, Wuhu, China1
Department of Control Science and Engineering, Zhejiang University, China1
Jadavpur University, Kolkata, India1
Department of Physics, Tripura University (A Central University), Suryamaninagar, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, India1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
Department of Computer Science, Queen Mary University of London, London, United Kingdom1
Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
University of Adelaide1
INRIA, Université Paris Sud, Université Paris Saclay, Paris, France1
Pediatrics Department, University of South Florida, Tampa, FL, USA1
Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China1
Department of Computer Science, University of Surrey, United Kingdom1
Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary1
University Politehnica of Bucharest, Bucharest, Romania1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, 420-734, Korea1
Oracle America, Inc., Redwood City, CA, USA1
University of Maryland, Baltimore County, Baltimore, MD1
Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany1
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany1
State Post Bureau Safety Supervision Center, Beijing, 100091, China1
Elektrik-Elektronik Mühendisliği Bölümü, Trakya Üniversitesi, Edirne, Türkiye1
ONERA - The French Aerospace Lab, Palaiseau, France1
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China1
Schlol of computer Science, Nanjing University of Science and Technology, Jiangsu, China1
Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal, National institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil, and University of Fortaleza (UNIFOR), Ceará, Brazil1
Clínica Otocenter, Teresina, Piauí, Brasil1
Kanazawa University, Ishikawa, Japan1
Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan1
Department of Computer Science and Engineering, The State University of New York at Buffalo, New York, USA1
Chinese Academy of Sciences, Institute of Software, Beijing, China1
University of Barcelona, Spain1
Georgia Southern University, Statesboro, GA1
Department of Electronic Engineering, Shantou University, Shantou, China1
University of Tasmania, Hobart, Australia1
Department of Electrical Engineering, KAIST, Daejeon, South Korea1
Computer Science and Engineering, Hanyang University, Seoul, South Korea1
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China1
School of Software Technology, Dalian University of Technology, Dalian, China1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. hsawhney@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. rkumar@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. ssamarasekera@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. toskiper@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. zzhu@sarnoff.com1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Centre for Emerging Technologies, Jain University, Karnataka-562112, India1
Computer Science and Engineering Department, Christ University, Bangalore- 560074, India1
Department of Computer Science, University of Liverpool, Liverpool L69 3BX, United Kingdom1
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China1
INESC and University of Porto, Porto, Portugal1
University of Alicante, Spain1
Institute for Systems and Robotics, Instituto Superior Técnico, Portugal1
Dept. of Computer Science & Engineering, Jadavpur University, Kolkata-032, INDIA1
College of Machanical Engineering, Jiangsu Institute of Commerce, Qinhuai District Nanjing, China1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing Shi, China1
PLA University of Science and Technology, Qinhuai District Nanjing, China1
Company of Shaanxi, China Mobile Limited, Xi’an, China1
Departement of Statistics, FSU, Tallahassee, FL 32306, USA1
LIFL (UMR USTL/CNRS 8022), Université de Lille 1, France1
School of Electrical Engineering and Computer Science, University of Newcastle, Australia1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong1
College of Electrical Engineering and Automation, Anhui University, China1
Department of Computer Science, Federal University of Ceará, Fortaleza, Brazil1
Department of Information Engineering, The Chinese University of Hong Kong, China1
Liverpool John Moores University, Liverpool, United Kingdom1
Inha University, Incheon, Korea (Republic of)1
Indian Institute of Technology Madras, Chennai, India1
Department of Automation, USTC, China1
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel1
National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA1
Department of Computer Science, Mathematics and Physics, University of Udine, Udine, Italy1
Center for Automation Research, University of Maryland, College Park, MD 20742, USA1
College of Humanities & Information of Changchun University of Technology, Changchun, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Turkey1
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China1
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080 USA1
School of Computer, Wuhan University, Wuhan 430072, China1
Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA1
Rensselaer Polytechnic Institute, Troy, NY 12180, USA1
GE Global Research Center, Niskayuna, NY 12309, USA1
National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine1
Nanjing University, Nanjing, P. R. China1
School of Information Science and Engineering, Yunnan University, Kunming, People’s Republic of China1
School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People’s Republic of China1
UBTECH Robotics, Shenzhen, People’s Republic of China1
School of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, People’s Republic of China1
School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, People’s Republic of China1
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Wheresohu_what@sohu.com1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Computer_vision@sohu.com1
School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China1
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Adobe System Incorporated1
Micrososft Research Asia1
HERE Technologies, Chicago, Illinois, USA1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. daphna@cs.huji.ac.il1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. zweiga@cs.huji.ac.il1
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China1
Department of Computer Science and Technology, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou, China1
University of Illinois Urbana Champaign, Champaign, USA1
Mapillary Research, Graz, Austria1
University of Glasgow, Glasgow, UK1
UCLA Center for Vision, Cognition, Learning and Autonomy and University of Hong Kong1
Waseda University and USC Institute for Creative Technologies1
GM Advanced Technical Center Israel, Hamada 7, Herliya, Isarel1
RoadMetric LTD, Giveat Yearim 90970, Israel1
Department of Telecommunications, University "Politehnica" Bucharest Bucharest, Romania1
Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, China1
School of Information Science, Xinhua College of Sun Yat-sen University, Guangzhou, China1
IBM, Yorktown Heights, NY, USA1
Inst. Dalle Molle d'Intelligence Artificielle Perceptive, Martigny, Switzerland1
Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia1
School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea1
Department of Computer Science, COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
Portland State University, Portland, USA1
School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China1
Centro Studi S.r.l., Buccino, Italy1
Electrical Engineering Department, Semnan University, Iran1
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
INSA de Lyon - Université de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France1
Institute for Infocomm Research, A-star, Singapore1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
Department of Computer Science, University of North Carolina at Charlotte, USA1
EECS Department, UC Berkeley, USA1
Lane Department CSEE, West Virginia University, USA1
Institute for Mathematical Stochastics, University of Göttingen, Germany1
Computer Engineering College, Jimei University, Xiamen, China1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China1
School of Information, Hunan University of Humanities, Science and Technology, Loudi, China1
Amped, Italy1
XTREAM, Spain1
Arthaus, Macedonia1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom1
Dept. of Computer Science & Engineering, The Chinese University of Hong Kong, Shatin, N.T., China1
Dept. of Digital Media, College of Information Sciences, Beijing Language and Culture University, 100083, China1
Department of Computing, Curtin University, Perth, Western Australia1
Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York1
Dept. of Information Science, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4 Aza Ebinokuchi Tsuchiya, Yurihonjo City, 015-0055 Japan1
OMRON Social Solutions Co. Ltd., Japan1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA1
Baidu Research - Institute of Deep Learning, Sunnyvale, USA1
CERTH, Thessaloniki, Greece1
CERTH & Queen Mary University of London, Thessaloniki, Greece1
Department of Electromechanical Engineering, University of Macau, Macau, SAR, China1
Department of Computer and Information Science, University of Macau, Macau, SAR, China1
Los Alamos National Laboratory1
ICT-ISVISION Joint R&D Lab. for Face Recognition, Chinese Acad. of Sci., Beijing, China1
Department of Electrical and Computer Engineering and Center for Automation Research, University of Maryland, College Park, MD, USA1
Interacting Minds Centre, Aarhus University, Aarhus C, Denmark1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland1
Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland1
Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland1
College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan1
Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China1
De Montfort University1
Gdańsk University of Technology, Gdansk, Poland1
AGH University of Science and Technology, Krakow, Poland1
Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)1
Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore1
BBN Technologies, Cambridge, USA1
Computer Science, North Carolina Central University, USA1
Computer Science & Electrical Engineering, West Virginia University, USA1
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68503, NE, United States1
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Electrical and Information Engineering, Hunan University, Changsha, China1
Florida State University, FL, USA1
Department of Radiology, Chinese PLA General Hospital, Shenyang, China1
Hospital Clinic Universitat de Barcelona, Barcelona, Spain1
Benito Menni Complex Assistencial en Salut Mental, Barcelona, Spain1
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain1
Institute of Psychiatry, King’s College London, London, UK1
FIDMAG Research Unit, Benito Menni CASM, Barcelona, Spain1
Queen Mary, University of London1
Brunel University1
Indian Institute of Information Technology Lucknow, Lucknow, India1
The Department of Computing, Muscat College, University of Stirling, UK1
School of mechanical and material engineering, North China University of Technology, Beijing, P.R. China1
Institute of Cybernetics, Tallinn University of Technology1
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.1
College of Computer Sciences, Zhejiang University, Hangzhou, China1
Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Interdisciplinary Graduate School, SingaporeSingapore1
Computer Science and Eng. and Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science and Eng. and IT, Dep. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science, Eng. and IT, Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Jiaotong University, China1
Fordham University, New York, 10023, USA1
Pattern Recognition Group, University of Siegen, Siegen, Germany1
College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan1
Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran1
Beijing Transportation Operation Coordination Center, China1
Beijing Transportation Information Center, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Ben-Gurion University, Beersheba, Israel1
Orbotech Ltd., Yavne, Israel1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi’an, China1
Department of Mathematics, University of Bari Aldo Moro, Bari, Italy1
MSR, New York, USA1
INRIA Paris, France1
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, P. R. China1
Department of Electrical Engineering, Semnan University, Semnan, Iran1
University of California, Merced, CA, 953441
School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Department of Statistics, Florida State University, Tallahassee, FL, USA1
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
INRIA Rennes, France1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
SPKLSTN Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Dept. of Electronics, Telecommunications and IT University “Politehnica” of Bucharest, Romania1
Department of Computer Science & Engineering, Guru Jambheshwar University, Hisar, Haryana, INDIA-125001. E-mail: dinesh_chutani@yahoo.com1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, CAS, Beijing, China1
School of Computer Science and Information Engineering, Hefei University of Technology, China1
School of Engineering and Advanced Technology, Massey University, Albany, New Zealand1
School of Software, Beihang University, Beijing, China1
Software Engineering Institute, Tsinghua University, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, P.R. China1
Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People’s Republic of China1
Department of Psychology, University of Pittsburgh/Robotics Institute, Carnegie Mellon University , Pittsburgh, PA, USA1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
Jiangsu Key Laboratory of Big Data Analysis Technique, Nanjing University of Information Science and Technology, China1
D.S.M. College, Parbhani, India1
School of Information Engineering, Nanchang Hangkong University, Nanchang, China1
Dept.of Intelligence Science and Technology, The Kyoto University of JAPAN1
Dept.of Computational Intelligence and Systems Science, Tokyo Institute of Technology of JAPAN1
Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA1
Electronic Information School, Wuhan University, Wuhan 430072, China1
Department of Communication Engineering and Informatics, The University of Electro-Communications, Tokyo 182-8585, Japan1
INRIA Rhone Alpes, Grenoble 38334, France1
Toyota Motor Europe (TME), Brussels 1140, Belgium1
Universidad Autonoma de Occidente, Cali, Colombia1
State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Center for Shared Experimental Education, Sun Yat-sen University, Guangzhou, China1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran1
School of Computer and Information Technology Engineering, Shahrood University of Technology, Shahrood, Iran1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. kriegman@cs.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. spmallick@vision.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. nalldrin@cs.ucsd.edu1
Faculty of Electrical, Biomedical and Mechatronics, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Bocgazici University, Turkey1
Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia1
Dalian Maritime University, Dalian, People’s Republic of China1
Bordeaux INP, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France1
Chang Jiang Institute of Survey, Planning, Design and Research, China1
Santa Barbara Cottage Hospital1
Department of Computer Science, Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia1
Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France1
Transilvania University Brasov, Romania1
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C.1
De La Salle University, Manila, Philippines1
Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana, USA1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle Upon Tyne, UK1
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK1
Department of Computer Science, Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC, cpliao@chien.csie.ncku.edu.tw1
Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
LAMIH/CNRS University of Valenciennes and Hainaut-Cambresis, Valenciennes, France1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
Department of IT, MM University, Mullana, India1
Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China1
Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye1
The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China1
Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco1
School of Informatics, University of Wales, Gwynedd, United Kingdom1
Computer Vision Center, Department Informàtica, Universitat Autònoma de Barcelona, Barcelona, Spain1
Edge Hill University, Ormskirk, United Kingdom1
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey1
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey1
Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey1
University of Massachusetts, Boston, USA1
Information and Communication Technology Research Institute, Tehran, Iran1
Electronic and Computer Engineering, Brunel University London, Uxbridge, UK1
Faculty of Engineering, University of Ottawa, Ottawa, Canada1
Computer Science and Engineering, Qatar University, Doha, Qatar1
Tourism Department, Minjiang University, Minjiang University, Fuzhou, China1
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China1
Institute for Infocomm Research & Nanyang Technological University, Singapore, Singapore1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, 710119, P.R. China1
University of Milano-Bicocca, Milan, Italy1
NICTA, Canberra Research Laboratory, ACT, Australia1
Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp1
Proscan Imaging Inc., Williamsville, NY 142211
Universidade Estadual de Campinas, Cx.P. 6176 Campinas-SP, CEP 13084-971, Brazil1
K.U.Leuven-ESAT-PSI, Leuven, Belgium1
Dakota Consulting, Inc., Silver Spring, USA1
Department of Electrical Engineering, Imperial College London, London, UK1
Department of Computer Science and Engineering, Thapar University, Patiala, India1
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, China1
Toutiao AI Lab, Beijing, China1
College of Information and Computer Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA1
TU Wien, Vienna, Austria1
Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom1
Institute on Children Studies, University of Minho, Portugal1
Alibaba Group, Beijing, China1
North Automatic Control Technology Institute, Taiyuan, 030006, China1
College of Aerospace and Material Engineering, National University of Defense Technology, Changsha, China1
REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, Department of computer science, College of AlGhat, Majmaah university, Riyadh, KSA1
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Research Center for Brain-inspired Intelligence, Chinese Academy of Sciences, Beijing, China1
Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China1
IIT Guwahati, 781039, Assam, India1
Sandia National Laboratories, Albuquerque, NM 87185-0932, USA1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: huseyin.ozkaramanli@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: hasan.demirel@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: alaa.eleyan@emu.edu.tr1
Space and Naval Warfare Systems Center Pacific, San Diego, CA, 92152, United States1
Electrical and Computer Engineering, University of California, San Diego1
School of Computer Software, Tianjin University, 300072, China1
Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong, China1
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hong Kong, China1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi'an, China1
Microsoft Research, Mountain View, CA1
Brown University, Providence, RI1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India e-mail: ankumfec@iitr.ernet.in1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com1
Computer Science Department, University of Maryland, College Park. djacobs@cs.umd.edu1
Computer Science Department, University of Maryland, College Park. carlos@cs.umd.edu1
Inst. of Computing Tech., CAS & Univ. of Chinese Academy of Sciences & Key Lab of Big Data Mining and Knowledge Management, CAS, Beijing, China1
College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China1
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China1
Laboratoire de Mécanique des Fluides et d'Acoustique(LMFA)-UMR 5509, Institut national des sciences appliquées de Lyon, 69621, France1
Department of Information, Compiègne University of Technology, 60200, France1
School of Automation, Northwestern Polytechnic University, Xi'an, 710072, China1
North China University of Technology, Beijing, 100041, China1
CEERI Pilani1
Universitat Pompeu Fabra, Universidad Pompeu Fabra (Edificio França), Passeig de Circumvallacio, 8, Barcelona, Spain1
Departamento de estadística, Universidad Carlos III de Madrid, Barcelona, Spain1
School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China1
National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China1
Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, China1
Department of Computer Science, UCCS, University of Colorado, Colorado Springs1
University of California, Santa Barbara, California, USA1
Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Neural Information Processing, University of Ulm1
Computer Science Department, University of California Los Angeles1
Computer Science, Rochester Institute of Technology, USA1
Center for Imaging Science, Rochester Institute of Technology, USA1
Department of Multimedia Design, National Taichung University of Science and Technology, Taichung, Taiwan1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan1
Shanghai Jiao Tong University, University of Michigan-Shanghai, Jiao Tong University Joint Institute1
Faculty of Science, Qiqihar University, 161006, China1
Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, 100083, China1
Amirkabir University of Technology, Department of Computer Engineering, Tehran, Iran1
Australian Centre for Robotic Vision, University of Adelaide, South Australia, Australia1
Magic Leap Inc., USA1
University of North Carolina, Chapel Hill, USA1
360 AI Institute and National University of Singapore, Singapore1
SnapChat Inc., Venice, CA1
“Lumina” The University Of South-East Europe, Bucharest, Romania1
Hyperion University Bucharest, Romania1
Adobe Research, San Jose, CA, USA1
Center of Computer, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
University of Bergen1
Exploratorium1
University of California, Davis1
University of Copenhagen and University of Malta, Copenhagen, Denmark1
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany1
Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada1
Communication University of China, China1
Chinese Academy of Sciences, Institute of Computing Technology, China1
Intel Labs China, Intel Corporation, 100090, Beijing, China1
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia1
Institute of Computer Engineering, University of Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Italia1
Advanced Micro Devices, Inc., Bellevue, WA, USA1
College of William & Mary, Williamsburg, VA, USA1
Advanced Micro Devices, Inc., Sunnyvale, CA, USA1
Katholieke Universiteit Leuven, Belgium1
Swiss Federal Institute of Technology, Switzerland; Katholieke Universiteit Leuven, Belgium1
University of Granada, UK1
Philips Electronics, Best, The Netherlands1
University of Colorado, Boulder, CO, USA1
Nanjing University, China1
Center for Machine Vision, Research, University of Oulu, Finland1
Computer Science, Purdue University, West Lafayette, USA1
mediaX, Stanford University, Stanford, USA1
Dpto. Lenguajes y Sistemas Informáticos, Universidad Jaume I. Castellón de la Plana, Spain1
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili Nanshan District Shenzhen, Guangdong Province, China1
LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France1
Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria1
College of air traffic control and navigation, Air Force Engineering University, Xi'an 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China1
College of Science, Air Force Engineering University, Xi'an, 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072,China1
Schoool of Life Sciences and Technology, Xidian University, Xi'an, China1
Koolsee MideaNet Company Limited, Hong Kong, China1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China1
Department of Computer Science & Information Engineering, Chung Hua University, Hsinchu, Taiwan1
Department of Computer Science & Information Engineering, National United University, Miaoli, Taiwan1
Paypal Innovation Team, Singapore1
Ricoh Company, Ltd., Yokohama, Japan1
Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Tuebingen, Baden-Wuerttemberg, Germany1
Center for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts USA1
School of Computer Science and Technology, Anhui University, Hefei, China1
Microsoft Key Laboratory of Visual Perception, Zhejiang University, Hangzhou, China1
Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt1
Department of Software Engineering, China University of Petroleum, Qingdao, China1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
Shandong Normal University, Jinan 250014, China1
College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China1
School of Information Science and TechnologyBeijing Forestry University1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK, m.hamouz@surrey.ac.uk1
Center for Vision Research, York University. jelder@yorku.ca1
Department of Computer Science, University College London. s.prince@cs.ucl.ac.uk1
Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, P.R. China1
Microsoft Research Asia, Beijing, P.R. China1
Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea1
Cognitive Neuroscience Cluster, Southern Cross University, Coffs Harbour, Australia1
Graduate Program in Neuroscience, The University of Western Ontario, London, Canada1
Department of Psychology, The University of Western Ontario, London, Canada1
The Brain and Mind Institute, The University of Western Ontario, London, Canada1
Northwestern University, 633 Clark Street, Evanston, IL 60208, USA1
Semnan University, Semnan, Iran1
Huazhong University of Science and Technology, P. R. China1
Department of AutomationTsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
College of Software, Northeastern University, Shenyang, China1
Hebei University of Technology, School of Science, Tianjin, P. R. China1
West Virginia University, Lane Dept. of CSEE, Morgantown, WV1
Computer Perception Lab, California State University, Bakersfield, CA, 933111
The School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gdansk University of Technology, Gdansk, Poland1
Faculty of Electronics, Telecommunications and Informatics, Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China1
Uurmi Systems Lab, Hyderabad, India1
Department of Computer Engineering, Eastern Mediterranean University, Mağusa, Turkey1
Department of Biomedical Engineering, Center for Neural Engineering, University of Southern California, Los Angeles, CA, USA1
Colchester, Essex, United Kingdom1
Department of Electrical and Computer Engineering, College of Engineering, and College of Computer and Information Science (Affiliated), Northeastern University, MA, USA1
Department of Mathematics, JiaYing University, Meizhou, China1
Electrical Engineering and Computer Sciences, UC Berkeley, USA1
Computer Vision and Robotics Research Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, USA1
School of Engineering, Shiv Nadar University, Gautam Buddha Nagar, India1
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, 361024, China1
CARTIF Centro Tecnológico, Robotics and Computer Vision Division, Boecillo (Valladolid, Spain)1
Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, 152-8552, Japan1
Medical Imaging Technologies team, Siemens Corporate Technology, Bangalore, India1
Division of Computer Science and Engineering, CAIIT, Chonbuk National University, Jeonju, Korea1
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
School of Electronic and Information Engineering, Shanghai University of Electric Power, 200090, China1
School of Automation Engineering, Shanghai University of Electric Power, 200090, China1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
School of Engineering and Information Technology, Murdoch University, Australia1
Facebook, Menlo Park, CA, USA1
Tencent Inc., Shanghai, China1
University of Twente, Enschede, Netherlands1
Radboud University, Nijmegen, Netherlands1
South Africa1
Viterbi school of engineering, University of Southern California, Los Angeles, USA1
NCCA, Bournemouth University, United Kingdom1
Roke Manor Research Romsey, Hampshire SO51 0ZN, UK1
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China1
Computer Science Department, University of Maryland, College Park, MD1
Department of Computer Science, Memorial University of Newfoundland, Saint John's, NL, Canada1
Computer Science Department, Tel-Aviv University, Ramat Aviv, Tel-Aviv, Israel1
Department of Radiation Oncology, Hacettepe University, Ankara, Turkey1
Guangdong University of Foreign Studies, Guangzhou, China1
The Department of Electronic Engineering, BoHai University, JinZhou, China1
KTH - Royal Institute of Technology, Stockholm, Sweden1
Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain1
Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Information & Communications Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain1
Computer Science Dept., University of Toronto, Canada1
Department of Electrical Engineering, Assiut University, Asyut, Egypt1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
Naval Research Laboratory, Washington, DC 20375; George Mason University, Fairfax, VA1
University of Mysore, Mysore, India1
Channabasaveshwara Institute of Technology, Gubbi, India1
Institut TELECOM, TELECOM and Management SudParis, France1
University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France1
Department of Computer Engineering, Yeungnam University, Gyeongsan, South Korea1
Department of Computer Science, Effat University1
Korea Electronics Technology Institute (KETI), Kyunggi-Do, Korea1
TNO Defence, Security and Safety, P.O. Box 96864, 2509 JG The Hague, The Netherlands1
Shanghai University of Finance and Economics, Shanghai, China1
Department of Signal Processing, Tampere University of Technology, FIN-Tampere, 33720, Finland1
Hanoi National University of Education, Hanoi, Vietnam1
Department of Computer Sciences, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign , Urbana1
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis1
Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana1
NYSS College of Engineering and Research, Nagpur, 441 110, India1
\ No newline at end of file +Budapest, Hungary
1
Guangdong Polytechnic Normal University, Guangzhou, China1
College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China1
College of Information Science and Technology, Hainan University, Haikou, China1
State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China1
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100083, China1
University Iuav of Venice, Venezia, Italy1
Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC1
College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China1
Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China1
Department of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing, China1
Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China1
School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India1
Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy1
Department of Electrical and Computer Engineering, Ryerson University, Toronto , Canada1
Indraprastha Institute of Information Technology Delhi, New Delhi 1100201
Sensing and Control Technology Laboratory, Omron Corporation, Kyoto 619-0283, Japan1
Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong1
Universitat De Girona (UDG), Spain1
Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh1
Department of CSE, Prime University, Dhaka, Bangladesh1
Department of CIT, Islamic University of Technology, Gazipur, Bangladesh1
Alexandria High Institute for Engineering & Technology, Egypt1
Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal1
College of Science and Information, Qingdao Agricultural University, Qingdao, China1
Chinese University of Hong Kong1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
Biomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa1
DiCo, Università di Milano, Italy1
Istituto Chiossone, Italy1
Faculty of Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA1
Department of Computer Science and Engineering, SUNY Buffalo, NY, USA1
Department of Information System Service, Swiss German University, Tangerang, Indonesia1
Department of Computer Science, Pakuan University, Bogor, Indonesia1
Shanghai Research Institute of China Telecom. Corporation Limited1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: damminda.alahakoon@infotech.monash.edu.au1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: jeewanee.bamunusinghe@infotech.monash.edu.au1
School of Computer, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Technology, Nanjing Forestry University and Shandong University, Jinan, China1
Department of Language Studies, Nanjing Forestry University, Nanjing, China1
Department of Computer Science and Technology, Nanjing Forestry University, Nanjing, China1
The University of Manchester, Manchester, United Kingdom1
Nanjing Normal University & Nanjing University, Nanjing, China1
School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China1
School of Computer, Electronics and Information, Guangxi University, Guangxi, China1
University Carlos III Madrid, Spain and Queen Mary University of London, UK1
Dept. of CIT, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh1
Dept. of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin, Korea1
Siemens AG, Munich, Germany1
MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany1
Aoki Media Sensing Lab, Keio University, Tokyo, Japan1
CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
VGG, University of Oxford, Oxford, UK1
Computer Aided Medical Procedures, Technische Universität München, Munich, Germany1
Center for Signal and Image Processing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta1
Department of Information and Computer Science, Aalto University, Finland1
Department of the Computer Science and Technology, Tsinghua University, China1
ICSI, UC Berkeley, Berkeley, USA1
Willow Garage, Inc., 68 Willow Road, Menlo Park, CA 94025, USA1
Itseez, Korolenko 19b, Nizhny Novgorod, Russia1
Department of Economics, Boston University, Massachusetts, United States of America1
Data Science Program, The George Washington University, District of Columbia, United States of America1
Poverty Global Practice Group, The World Bank, Washington, District of Columbia, United States of America1
Institute of Computer Science, University of Tartu, Tartu, Estonia1
LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
Navier (UMR 8205), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
School of Computer Science, The University of Notthingham, Nottingham, U.K.1
College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China1
University of Canberra and Australian National University, Canberra, Australia1
Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy1
Faculty of Information Technology, Czech Technical University in Prague, Prague 6, Czech Republic1
Helsinki Institute for Information Technology HIIT, University of Helsinki, Helsinki, Finland1
University of A Coruna, Corunna, Spain1
Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands1
University of Trento , Povo - Trento, Italy1
Università Ca’ Foscari Venezia, Venezia Mestre, Italy1
Universidad de Alicante, Spain1
School of Computer Science, The University of Manchester, Manchester, UK1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, People’s Republic of China1
Department of Automation, University of Science and Technology of China, Hefei, People’s Republic of China1
PRISME Institute, ENSI de Bourges - University of Orléans, 88 Boulevard Lahitolle, 18020 BOURGES, France1
Jiangxi University of Finance and Economics, China1
Department of Electrical & Computer Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xfwang@ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn1
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom1
PSYEC, India1
TCE, India1
Vickramce, MDU, India1
State Key Laboratory of CAD & CG, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province 310058, China1
ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium1
Department of Computer Engineering, Boğaziçi University, 34342, Bebek, İstanbul, Turkey1
Center of Applied Mathematics, École Polytechnique, France1
Department of Electronic Systems, Aalborg University Copenhagen, Denmark1
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, CNRS, 69134, France1
Department of Electrical Engineering, College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China1
School of Computer Science and Information Systems, Birkbeck College, University of London, WC1E 7HX, U.K.1
Biometrics Research Centre, Hong Kong Polytechnic University, Hung Hom, Kowloon, China1
Nagaoka University of Technology, Nagaoka, Niigata 940-2188, Japan1
Department of Applied Physics, Eindhoven University of Technology, The Netherlands1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences1
Department of Computer and Information Science, Hunan University of Science and Engineering, Yongzhou, Hunan China, 4250061
School of Computer and Science Technology, Tianjin University, Tianjin, China1
School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China1
Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China1
The Johns Hopkins University, Baltimore, USA1
School of Computer Science and Software Engineering, The University of Western Australia, Perth, WA, Australia1
School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia1
Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy1
Snapchat Research, Venice, CA902911
Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA1
Security area everis Aerospace, Defense Security, Madrid, Spain1
Beauty Cosmetic Research Lab, Kao Corporation, Tokyo, Japan1
Department of Electrical and Computer Engineering, University of Miami, FL, USA1
Department of CS, University of Texas at San Antonio, 78249, USA1
Department of CSE, University at Buffalo (SUNY), NY 14260, USA1
University of Waterloo1
Faculty of Electrical Engineering, University of Ljubljana, EU, Slovenia1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India1
Department of Computer Science, Texas State University, San Marcos TX, 78666-4616, USA1
Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India1
Dept. of Electrical and Electronic Eng., The University of Tokushima, Japan1
Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany1
IRISA, Campus Universitaire de Beaulieu, Rennes, France1
Graduate School of Medicine, Osaka University, Osaka, Japan1
Graduate School of Engineering,, University of Tokyo, Tokyo, Japan1
Information and Communications Headquarters,, Nagoya University, Nagoya, Japan1
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. slobodan.ribaric@fer.hr1
Computer Engineering Department, Aljouf University, Skaka Aljouf, 72388, Saudi Arabia1
Department of Information Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502 Japan1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. byliao@cc.kuas.edu.tw1
Visual Information Analysis and Processing Research Center Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. zhemingl@yahoo.com1
Department of Electronic Engineering, National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China. junbaolihit@hotmail.com1
GRIFT Research Group, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, La Manouba, Tunisia1
Ruhr-Universität Bochum, Institut für Neuroinformatik, Germany1
Universität Paderborn, Fakultät für Elektrotechnik, Informatik und Mathematik, Germany1
Department of Computer Science and Information Engineering, Ching-Yun University, Taiwan1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China1
College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China1
IBM Almaden Research Center, San Jose, CA, USA1
Department of Computer Science, University of Freiburg, Freiburg, Germany1
School of Electrical Engineering, The City University of New York, U.S.A1
Politeknik Elektronika Negeri Surabaya, Indonesia1
REGIM: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), Sfax, Tunisia1
Dept. of Formative Sciences and Psychology, University of Firenze - Italy1
Department of Computer Science, Stevens Institute of Technology, Hoboken, USA1
School of IoT Engineering, Jiangnan University, Wuxi, China1
School of Computer Engineering, Jiangsu University of Technology, Changzhou, China1
Dept. of Software and Computer Engineering, Ajou University, Suwon, South Korea1
Department of Computer Science, Binghamton University, Binghamton, NY, USA1
Department of Electrical and Electronics Engineering, Anna University of Technology, Coimbatore, India1
Beijing Institute of Technology, School of Information and Electronics, Beijing, China1
Cornell University, Department- of Computer Science., USA1
Southeast Missouri State University, Department of Computer Science, USA1
University of Oregon, Computer& Information Science Department, USA1
ChongQing YuBei Experimental Primary School, Chongqing, China1
ChongQing College of Electronic Engineering, Chongqing, China1
Singapore University of Technology and Design & Massachusetts Institute of Technology, Singapore, Singapore1
Faculty of Science and Technology University of Macau, Macau, China, School of Applied mathematics, Beijing Normal University, Zhuhai, China1
Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong1
Department of Computer Engineering, Bogazici University, Bebek, Istanbul, Turkey1
Department of Computer Engineering, Istanbul University, Avcilar, Istanbul, Turkey1
Department of Computer Engineering, Bahcesehir University, Besiktas, Istanbul, Turkey1
School of Electronic and Information Engineering, Foshan University, Foshan, China1
Tulane University, USA1
Institute of Communications Engineering, National Tsing Hua University, Taiwan, R.O.C1
Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China1
Intel Labs Pittsburgh, Carnegie Mellon1
University of Central, Florida1
Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor1
Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur1
LEAR Team, INRIA Grenoble, Montbonnot, France1
Inteligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands1
CIEM-CONICET, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina1
School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
Department of Mechatronics Engineering, International Islamic University, Kuala Lumpur, Malaysia1
The faculty of the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
The Division of Future Vehicle, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
UMass Dartmouth, Dartmouth, MA, USA1
HTC Research, Beijing, China1
QCIS, University of Technology, Sydney, Australia1
IIIS, Tsinghua University, Beijing, China1
Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China1
Shenzhen Academy of Robotics, Shenzhen, Guangdong, 518057, China1
School of Computer Science and Technology, Shandong University, Shandong, China1
AGH University of Science and Technology, Adama Mickiewicza, Krakow, Poland1
Interuniversity Microelectronics Centre, Heverlee, Belgium1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Shaanxi Key Laboratory on Speech and Image Information Processing, Xi’an, China1
NPU-VUB Joint AVSP Lab, School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China1
Image processing center, Beihang University, Beijng, China1
Raytheon Missile Systems, Tucson, USA1
Facebook Inc., Palo Alto, CA, USA1
Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China1
University of International Business and Economics, Beijing, China1
Department of Electrical Engineering and Computer Science and Information Engineering, National Taiwan University, Taiwan1
School of Software Technology, Dalian University of Technology1
Department of Multimedia, Sungkyul University, Korea1
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China1
National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences(CAS), Beijing, China1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
Special machinery research institute, Beijing, China1
National Key Laboratory for Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China1
National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, Xuzhou, China1
Internet of Things Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China1
Dept. of Electrical and Computer Engineering, University of Calgary, AB, Canada1
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA1
Department of Electrical and Computer Engineering & CyLab, Carnegie Mellon University, Pittsburgh, PA1
Accenture Technology Labs, Chicago, IL, USA1
Kakao Brain, Seongnam, South Korea1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL.1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: P.P.Kuo@ed.ac.uk1
University of North Carolina at Wilmington, USA1
UNCW, USA1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
Development Center, OMRON Social Solutions Co., LTD., Kyoto 619-0283, Japan1
Research School of Computer Science, The Australian National University, Canberra, ACT 0200, Australia1
INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France1
Image Processing Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Faculty of Electronics, Wrocław University of Science and Technology, 50 370 Wrocław, Wyb. Wyspianskiego 27, Poland1
Multi-Modal Biometrics Lab, Institute for Infocomm Research, Republic of Singapore. wyyau@i2r.a-star.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. hw@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. nliu@pmail.ntu.edu.sg1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
School of Electrical Science and Engineering, National University of Defense Technology, Changsha, China1
Beijing Institute of Tracking and Telecommunications Technology, Beijing, China1
Department of Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK1
Sun Yat-Sen University, Guangzhou, Singapore1
Laboratory of Language Technology, Tallinn University of Technology, Estonia1
Applied Mathematics, N.C. A&T State University, NC, United States1
Statistics and Mathematics, University of Florida, FL, United States1
Computer Science, Yale University, CT, United States1
Mathematical Decision Sciences, UNC Chapel Hill, NC, United States1
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg1
University of East Anglia, Norwich, United Kingdom1
Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia1
Washington University, School of Medicine St. Louis, MO, USA1
Johns Hopkins Hospital, Baltimore, MD, USA1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China1
School of Computer Science and Technology, Nanjing University of Science of Science and Technology, Nanjing, China1
Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea1
Urban Robotics Lab., Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Sichuan University West China Hospital of Stomatology, Chengdu, China1
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China1
University of Electronic Science and Technology of China, Chendu, China1
College of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China1
Computer Science and Artificial Intelligence, MIT, Cambridge, MA1
Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia1
ETH Zurich, Switzerland and KU Leuven, Belgium1
Università di Firenze, Firenze, Italy1
TELECOM Lille1/LIFL, Villeneuve d'Ascq, France1
Università di Modena e Reggio Emilia, Modena, Italy1
University of Glasgow, Glasgow, United Kingdom1
MIT, Media Lab,, MA, USA1
Imperial College London , London, United Kingdom1
Microsoft Research, USA1
Aix Marseille Univ, CNRS, LIF, Marseille, France1
Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China1
Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China1
Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris1
INRIA/Ecole Normale Supérieure, Paris1
Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China1
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, China1
Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China1
Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China1
Department of Electrical and Electronic Engineering, University of Cagliari, Italy1
Department of Computer Engineering, Istanbul University, Istanbul, Turkey1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand1
Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand1
Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China1
Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China1
Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China1
Institute of Electronics, Chinese Academy of Sciences1
Institute of Computer Science and Technology, Peking university, Beijing, China1
Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin1
Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
Sapienza University of Rome, Via Salaria 113, 00198, Rome, Italy1
Shenzhen Polytechnic, Shenzhen, P. R. China1
School of Rail Transportation, Soochow University, Suzhou, China1
Department of Computer Engineering and IT, Amirkabir University of Technology, Tehran, Iran1
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
China Key System & Integrated Circuit Co. Ltd1
191
181
171
161
151
MICA International Research Institute (HUST - CNRS/UMI2954 - Grenoble INP), Hanoi University of Science and Technology, Vietnam1
FX Palo Alto Laboratory1
Guilin University of Technology, Guilin, Guangxi1
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing1
Azure Storage, Microsoft, Seattle, WA, USA1
Queen Mary University of London, United Kingdom1
Yamaha Motor Co., Ltd., Japan1
Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany1
École Normale Supérieure / PSL Research University, Paris, France1
Xi’an Jiaotong University, Xi’an, People’s Republic of China1
Department of Psychology, National University of Singapore, Singapore1
Department of Psychology, Southern Utah University, Cedar City, UT1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK1
Queen Mary, University of London, Mile End Rd, London, E1 4NS, UK1
University of Maryland College Park, MD 20742 USA1
National Institute of Standards and Technology Gaithersburg, MD 20899 USA1
University of Maryland, College Park, MD 20742 USA1
Mepco Schlenk Engineering College, Sivakasi, India1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Astellas Research Institute of America, IL, USA1
Tianjin Key Lab of Cognition Computing and Applications, Tianjin University, Tianjin, China1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100731
University of Houston, TX1
Corresponding Author B, Wayne State University, Detroit, Michigan, USA1
THALES Services - 91767 Palaiseau, France1
I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France1
Institut Universitaire de France (IUF), Paris, France1
Université de Toulon, La Garde, France1
Aix-Marseille Université, Marseille, France1
Department of Computer Engineering, Chiang Mai University1
Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China1
Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China1
Complex Lab, University of Electronic Science and Technology of China, Chengdu, China1
Lecturer of Computer Science at Higher Education Department, Khyber Pakhtunkhwa, Pakistan1
Technische Universität München / Imperial College London, Munich / London, England UK1
University of Geneva, Geneva, Switzerland1
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning Province, China. linhui_signal_dip@hotmail.com1
ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA1
Volvo Car Corporation, SE-405 31 Göteborg, Sweden1
Smart Eye AB, SE-413 27 Göteborg, Sweden1
Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile end Campus, UK, E14NS1
Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany1
Department of Informatics, University of Oslo, P.O. Box 1080 Blindern, 0316 Oslo, Norway1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology(ICT), Beijing, China1
Department of Electrical and Computer EngineeringJohns Hopkins University1
The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
School of Economics and Management, Tongji University, Siping Road, Shanghai, P.R. China1
Centre for Development of Advance Computing IIPC-Building, NIT Silchar Campus Silchar, India1
School of Big Data & Software Engineering, Chongqing University, Chongqing, China1
Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,1
Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R11
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia1
School of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing Xiaozhuang University, Nanjing, China1
Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia1
Eindhoven University of Technology, P.O. Box 513, 5600 MB, NL1
ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL1
Core Technology Center, Omron Corporation, Kyoto, Japan1
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA1
General Electric Global Research, 1 Research Circle, Niskayuna, NY1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt1
DISI-Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Department of Electronic Devices, Circuits, and Architectures, Faculty of Electronics, Telecommunication and Information Technology, University “Politehnica” of Bucharest, Romania1
Beijing University of Posts and Telecommunications/The University of Western Ontario1
School of Computer Science and Information System, Pace University, New York USA1
School of Computer Science and Information Systems, Pace University, New York, USA1
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Amazon Research, Berlin, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Nanyang Avenue, Singapore1
Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India1
IKERBASQUE, Basque Foundation for Science, and the University of the Basque Country, San Sebastian, Spain1
Computer Vision Center, Edifici “O” - Campus UAB, 08193 Bellaterra (Barcelona), Spain1
Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria1
Laboratoire Informatique Image Interaction (L3i), University of La Rochelle, France1
ICTEAM Institute, Université Catholique de Louvain, Belgium1
ICTEAM Institute, Université Catholique de Louvain, Belgium and Department of Information and Communication Engineering, Institute of Technology of Cambodia, Cambodia1
Biometric Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea. khsohn@yonsei.ac.kr1
Biometric Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea. k9doli@yonsei.ac.kr1
Neusoft Corporation, Shenyang 110179, China1
University of California, San Diego, La Jolla, USA1
SET Media Inc, San Francisco, USA1
School of Engineering, Hong Kong University of Science and Technology, Hong Kong1
HiScene Information Technology Co., Ltd, Pudong, China1
Walmart Labs, Bengaluru, India1
Cisco Systems Inc., Bengaluru, India1
Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain1
Multimedia Technologies Division, Aragon Institute of Technology, Zaragoza, Spain1
Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA1
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitesi, İstanbul, hatice. cinar@boun.edu.tr1
School of Geodesy and Geometry, Wuhan University, Hubei, China1
Faculty of Information Engineering, China University of Geosciences, Wuhan, China1
University of “Petru Maior”/Mathematics-Computer Science, Tîrgu-Mureş, Romania1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
Department of Psychiatry, University of Minnesota, Minneapolis, USA1
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA1
Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA1
GE Global Research, San Ramon, CA, USA1
University of Abertay, Dundee, UK1
China University of Geosciences Wuhan, China1
Departamento de Automação, Goiano Federal Institute (IFGoiano), Trindade, Brazil1
Departamento Acadêmico, Federal Institute of Goiás (IFG), Senador Canedo, Brazil1
China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland1
Facebook Research, New York, New York United States1
Courant Institute of Mathematical Science, New York University, New York, New York United States1
Institute of Computational Science, Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland1
The Faculty of ICT-Mahidol University, Thailand1
School of the Gifted Young, University of Science and Technology of China, Hefei, Anhui, 230026, P.R. China1
Department of Computer Science, University of Liverpool, UK1
Audi AG, Germany1
De Montfort University, Leicester, UK1
Department of Electrical Engineering, Federal University of Paraná, Curitiba, PR, Brazil, 81531-9701
Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany1
Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University1
LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France1
Shanghai Jitotong University, Shanghai, China1
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
INRIA Grenoble, Grenoble, France1
Graduate School of Engineering Science, Department of Systems Innovation, Osaka University, Toyonaka, Japan1
Center for Cognitive Ubiquitous Computing, Arizona State University, Tempe, USA1
University of Science and Technology of China, Hefei,Anhui,China1
MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA1
MIRACL Laboratory, Higher Institute of Management Gabes, Sfax university - Gabes university, Tunisia1
National Engineering Laboratory for Video Technology and the Key Laboratory of Machine Perception (MoE), School of Electrical Engineering and Computer Science, Peking University, Beijing, China1
Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, USA1
College of Information and Technology, Incheon National University, Incheon, Korea1
School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria1
Transportation Active Safety Institute (TASI), Indiana University-Purdue University Indianapolis, 46202 USA1
Department of Computer Science, Indiana University-Purdue University Indianapolis, 46202, USA1
Tianjin University & University of South Carolina, Tianjin, China1
Turkcell İletişim Hizmetleri A.Ş., Ankara, Türkiye1
Insititute of Automation, Chinese Academy of Sciences (CAS), Beijing, China1
Intelligent Autonomous Systems Group, Technische Universität München, Garching, Germany1
École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland1
Itseez Incorporated, Nizhny Novgorod, Russia1
Department of Computer Science, Royal Holloway, University of London, Surrey, UK1
State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1203, Palo Alto, CA 94304, USA1
Department of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Korea1
Department of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
Facebook, Mountain View, USA1
Microsoft, Bellevue, WA, USA1
M5001, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong1
Graz University of Technology, Institute for Computer Graphics and Vision, Inffeldgasse 16/II, 8010 Graz, Austria. pmroth@icg.tu-graz.ac.at1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan1
Multi Media laboratory, Toshiba Corporation, 1, Komukai-Toshiba-cho Saiwai-Ku, Kawasaki, Kanagawa Japan1
Computer Science and Information Technology, RMIT University, Melbourne, 3001, Australia1
Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark1
College of Computer Science, Nanjing University of Science and Technology, Nanjing, 210094, China1
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, 430079, China1
University of Arizona1
BIWI, ETH Zurich Zurich, Switzerland1
Department of Information Technology, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India1
Key Lab of Machine Learning and Computational Intelligence, College of Mathematics and Computer Science, Hebei University, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Birmingham City University, Birmingham, UK1
Inst. of Computational Sci., ETH Zurich, Switzerland1
Department of Computer and Information Sciences, University of Alabama at Birmingham, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Department of Communication Engineering, Shanghai University, Shanghai, China1
Utechzone Co. Ltd., New Taipei City, Taiwan 2351
Faculty of Computing and Informatics, Multimedia University, Cyberjaya 61000, Selangor, Malaysia1
IHCC Group, RSCS, CECS, Australian National University, Australia1
Vision & Sensing Group, HCC Lab, ESTeM University of Canberra, Australia1
Department of Electrical Engineering, University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea1
Electrical and Computer Engineering, 450 Clyde Building, Brigham Young University, Provo, UT 84602, USA1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
Institute of Systems Science, National University of Singapore, Singapore, Singapore1
Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning Province, China. wgq2211@163.com1
Technion, Israel1
IBM Research China, China1
University of Udine, Department of Mathematics and Computer Science, Via delle Scienze 206, 33100 Udine, Italy1
VISIONe lab, University/Industry joint laboratory, via Cjavecis 3, 33100, Udine, Italy1
Faculty of Media Engineering & Technology German University in Cairo, Egypt1
AvidBeam1
Faculty of Media Engineering & Technology, German University in Cairo, Egypt1
Media Laboratory, Huawei Technologies Co., Ltd, Shenzhen, China1
Department of Computer Science, University of Southern California1
Department of Psychology, University of Florence, Italy1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Vesalis company, Parc Technologique de la Pardieu, 10 rue Evariste Galois, 63000 Clermont-Ferrand, France1
University of Palermo, Palermo, Italy1
Institute of Nationality Cultural Information and Technology, Dalian Nationalities University, Dalian, Liaoning Province, China1
UMR 5141, CNRS, Telecom ParisTech, France1
Department of Computer Science, University of Rochester1
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
Dalian Key Laboratory of Digital Technology for National Culture, Dalian Minzu University, Dalian, China1
Institute of Systems Science, Northeastern University, Shenyang, China1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. mps04@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. sidnei@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. ccqs03@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. luciano@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. olga@inf.ufpr.br1
Computer Science and Engineering Department, Thapar University, Patiala, India1
Academy of Mathematics and Systems Science, Chinese Academy of Science, Institute of Applied Mathematics, Beijing, China1
SINOPEC Petroleum Exploration and Production Research Institute, Beijing 100083, China1
Dept. of Computing, Curtin University, Perth WA, 6102, Australia1
School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao 266033 China1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
CNRS - IRIT, Toulouse, France1
Guangxi University, Electronics and Information, School of Computer1
Faculty of Science and Technology, University of Macau, Macau, 999078, China1
Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, USA1
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, China1
The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China1
Department of Education and Information, Guizhou Finance school, Guiyang, China1
Image Formation and Processing Group, Beckman Institute, University of Illinois Urbana–Champaign, Urbana, IL, USA1
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia1
University of Arizona, Tucson, USA1
Faculty of Medicine, University of British Columbia, Vancouver, Canada1
Laboratoire d'InfoRmatique en Image et Systémes d'information Lyon Central School, University of Lyon, France: 69134 Ecully1
Research Group on Intelligent Machines, University of Sfax, Sfax Engineering School: POB 3038, Tunisia1
Biometric Research Centre, Department of Computing, Hong Kong Polytechnic University, Hong Kong, China1
Department of Social and Decision Sciences, Carnigie Mellon University, Pittsburgh, PA 15224, USA1
VARPA Group, University of A Coruña, A Coruña, Spain1
Bilişim Teknolojileri Enstitüsü, Gebze Teknik Üniversitesi, Gebze, Türkiye1
Information Science Institute, University of Southern California, Los Angeles, USA1
Department of Computer Science and Engineering, Sogang University, Seoul, Korea1
Central Research Laboratory, Bharat Electronics Limited, Bangalore-560 013, India. as_santosh@yahoo.com1
Discipline of Business Analytics, The University of Sydney Business School, University of Sydney, Camperdown, NSW, Australia1
Philips Research, Bethesda, MD, USA1
Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China1
National Engineering Research, Center for E-Learning, Central China, Normal University, Wuhan, China1
School of Interactive, Computing, Georgia Institute of Technology1
School of Electrical and Computer Engineering, Georgia Institute of Technology1
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain1
Graduate School of the Chinese Academy of Sciences, Beijing, China1
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China1
Microsoft Live Labs Research, China1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn1
De Montfort University, Leicester, UK, LE1 9BH, +44 (0)116 20784901
Hewlett-Packard Laboratories, India1
Department of Psychology, Emory University, Atlanta, USA1
Division of Psychobiology, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Center for Behavioral Neuroscience, Atlanta, USA1
Division of Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Department of Psychology, University of Massachusetts-Amherst, Amherst, USA1
Bio-computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. E-MAIL: laterfall2@yahoo.com.cn, sun_bin@hit.edu.cn1
Bio-computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. E-MAIL: laterfall2@yahoo.com.cn1
LSEC and Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing, China1
College of Mathematics & Information Science, Wenzhou University, Wenzhou, China1
UMR 5141, LTCI, Telecom ParisTech, France1
Institute of Mathematics of the Romanian Academy, Bucharest, Romania1
Department of Mathematics, Lund University, Lund, Sweden1
School of Mechanical Design and Automation Engineering, Seoul National University of Technology, 139-143, Seoul, Korea1
School of Electrical Eng., ASRI, Seoul National University, 151-600, Seoul, Korea1
Samsung Electronics Co. Ltd., Suwon, Korea1
Graduate Program on Electrical Engineering, Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Graduate Program on Electrical Engineering, University of Passo Fundo, Passo Fundo, Brazil1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China1
Jaguar Land Rover Research, Coventry, UK1
Department of Computer Science, Stanford University, 353 Serra Mall, Gates Building, Stanford1
NEC Laboratories1
Institute of Infocomm Research, A-STAR, Singapore1
Department of Mechanical Engineering, Madurai, Tamilnadu, India1
Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Key Lab of ICSP of Ministry of Education, Anhui University, Hefei, China1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, China1
Office of Naval Research, Computer Science Division, Arlington, VA 222171
Department of Electrical and Computer Engineering and the Department of Mathematics, National University of Singapore, Singapore1
Department of Electrical and Computer Engineering, Department of Mathematics, Department of Industrial and Systems Engineering, National University of Singapore, Singapore1
School of Electronics and Information, Northwestern Polytechnical University, Xian, China1
Department of Computer Science, University of North Carolina, Charlotte, USA1
Department of System Eng. and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Computer Science, Ryerson University, 245 Church Street, Toronto, Ontario Canada1
Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France1
ICPT and MIPT (SU), Moscow, Russia1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
School of Mathematics and Information Technology, Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China1
Univ. Bordeaux, Bordeaux IMS Talence, France1
Univ. La Rochelle, MIA La Rochelle, France1
Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, 400044, China1
CNRS, École Centrale de Lyon, University of Lyon, Lyon, France1
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, 852811
Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad, India1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA1
Nagoya Institute of Technology, Showa-ku, Japan1
NICTA Queensland Research Laboratory, Brisbane, Australia1
Imperial College, London, UK1
Science and Technology on Multi-spectral Information Processing Laboratory, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, People’s Republic of China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, People’s Republic of China1
Department of Animal Science and Technology, Konkuk University, Seoul, South Korea1
Centre of Excellence for Research in Computational Intelligence and Applications, School of Computer Science, University of Birmingham, Birmingham, U.K.1
Research & Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai, 201804, P.R. China1
Optronic Sensor Systems, Council for Scientific and Industrial Research, Pretoria, South Africa1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, 410073, P.R.China1
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, 410073, P.R.China1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
Electronic Microtechnology (CSEM), Neuchâtel1
IDIAP Research Institute, Martigny and École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne and Electronic Microtechnology (CSEM), Neuchâtel1
Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 02792, Korea1
School of Engineering, Hokkaido University, N-13, W-8, Kita-ku, Sapporo, Hokkaido, 060-8628, Japan1
Bilgisayar Mühendisliği Bölümü, İTÜ, Turkey1
Computer Engineering Dept., Bogazici University, Istanbul, Turkey. akarun@boun.edu.tr1
Philips Research, Eindhoven, The Netherlands, berk.gokberk@philips.com1
Computer Engineering Dept., Bogazici University, Istanbul, Turkey. nese.alyuz@boun.edu.tr1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
ECSE Department, Rensselaer Polytechnic Institute1
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK1
Advanced Technologies Application Center, Playa, Cuba1
Orange—France Telecom Division R&D—TECH/IRIS, Cesson Sévigné Cedex, France1
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, MA 01609-2280, USA1
DICGIM, University of Palermo, Palermo, Italy1
Department of Computer Science, Innopolis University, Kazan, Russia1
Center for Telematics and Information Technology, University of Twente, Enschede, Netherlands1
Department of Computer Science, University of Science & Technology, Bannu, Pakistan1
Department of Biomedical Engineering, Kyung Hee University, Suwon, Korea1
Department of Computer Engineering, Kyung Hee University, Suwon, Korea1
Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Korea1
Grupo de Investigación GREC, Universitat Politècnica de Catalunya, Barcelona, España1
Universitat de Barcelona, Barcelona, España1
University of Illinois at Urbana-Champaign, Urbana, IL, Microsoft Research Asia, Beijing, China1
Research Center for Learning Science, Southeast University, China1
School of Computer Science and Engineering, Tianjin University of Technology, China1
AI Institute, Qihoo/360 Company, Beijing, China1
Intelligent Media Technique Research Center, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, P.R. China1
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, P.R. China1
AI Institute of Qihoo/360 Company, Beijing, P.R. China1
Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany1
Department of Cognitive Sciences, Xiamen University, Fujian Province, 361005, China1
School of Computer Science and Technologym Huazhong University of Science and Technology, China1
Huazhong University of Science and Technology, China, Helwan University, Cairo, Egypt1
Huazhong University of Science and Technology, China, Zagazig University, Zagazig, Egypt1
Inria, Rennes, France1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, M5S 3GA, Canada1
New Mexico State University, Klipsch School of Electrical Engineering, Las Cruces, NM 880031
University of Greenwich, London, United Kingdom1
Electronic Engineering, College of Engineering, Hanyang University, Seoul, South Korea1
Roche Pharmaceutical Research and Early Development; Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche Ltd., Basel, Switzerland1
Department of Psychological and Brain Sciences, Boston University, Boston, USA1
Department of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China1
DAIS, Università Ca’ Foscari, Venice, Italy1
TCS Research, Tata Consultancy Services, New Delhi, India1
Aubiere Cedex, France1
Białystok University of Technology, Białystok, Poland1
Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia1
Faculty of Natural Sciences, University of Tampere, Tampere, Finland1
LITIS, Universite de Rouen - INSA de Rouen, Rouen, FR1
Department of Computer Engineering, Turgut Özal University, Ankara, Turkey1
Information Strategy Office, Nagoya University, Aichi, Japan1
Australian Centre for Robotic Vision (ACRV), Brisbane, Qld., Australia1
University of Illinois at Chicago, Chicago, IL1
Mathematics and Computer Science Department, , Grambling State University, Grambling, LA, USA1
Center of Information Development and Management, Hefei University, Hefei 230061, China1
Electronics Engineering Department, National Chiao Tung University, Hsinchu, Taiwan1
Research Center of Robotics and Micro System, Soochow University, Suzhou, China1
Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France1
Department of Psychology, The Ohio State University, USA1
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
Department of Electrical and Electronics Engineering, Laboratory of Machine Learning and Computer Vision, Eskisehir Osmangazi University, Eskisehir, Turkey1
Department of Computer Engineering and Information and Technology, Amirkabir University of Technology, Tehran, Hafez 424, Iran1
School of Electronics and Information, Northwestern Polytechnical University, Xián, Shaanxi, China1
CDTA, Algeria1
Department of Computer Science and Engineering, Incheon National University, South Korea1
Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland1
Faculty of Physics and Applied Informatics, University of Lodz, Lodz, Poland1
Massachusettes Institute of Technology Media Lab, Cambridge, MA, USA1
Jiangsu Automation Research Institute, Lianyungang, China1
COMSATS Institute of Information Technology, Abbottabad, Pakistan1
In-Q-Tel, Menlo Park, CA USA1
Multimedia Interaction and Understanding Lab, HP Labs, Palo Alto, U.S.A.1
Equipment Development and Application Research Center, Air Force Engineering University, Xi’an, China1
Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China1
Graduate School of Engineering, Mie university, Mie, Japan1
Department of Transportation Engineering, Beijing Institute of Technolgoy, 100081, China1
Instituto de Investigaciones en Ingeniería Eléctrica (IIIE), Universidad Nacional del Sur-CONICET. Av. Alem 1254, Bahía Blanca CP 8000, Argentina1
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China1
Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China1
School of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China1
National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen, People’s Republic of China1
Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Fraunhoferstrasse 1, Karlsruhe, Germany1
School of Engineering and Design, Brunel University, London, UK1
School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China1
Indian Institute of Technology, Rajasthan, India1
Indian Institute of Technology, Kanpur, India1
École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France1
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China1
School of Computer Engineering, The Nanyang Technological University, Singapore1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA1
The Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Computer Science Department, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K.1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Korea1
Dept. Of Information and Communication Engineering, Dongguk University, Gyeongbuk, Korea1
School of Electronics Engineering, Kyungpook National University, Taegu, Korea1
The Pennsylvania State University, University Park, PA 16802, USA1
Ecole Centrale Paris, Antony, France1
CEA, Gif-sur-Yvettes, France1
CEA & Ecole Centrale Paris, Gif-sur-Yvettes, France1
Institute for Computational and Mathematical Engineering, Stanford University1
Computer Science and Artificial Intelligence Department, University of Alicante, Spain1
School of computer Science and Engineering, Nanjing University of Science and Technology, China1
Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China1
Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xian 710072, Shaanxi, China1
Dept of Electrical and Computer Engineering, University of South Alabama, AL, USA1
Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France1
Laboratoire Hubert Curien, UMR CNRS 5516, Université de Lyon, Université Jean Monnet de Saint-Etienne, Saint-Etienne, France1
LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France1
Computer Laboratory, University of Cambridge, Cambridge, U.K.1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, P. R. China1
Applied Network Technology (ANT), Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand1
Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand1
Guangxi Cooperative Innovation Center of cloud computing and Big Data, Guilin University of Electronic Technology, Guilin, 541004, China1
College of Mathematics and Computer Science, Hebei University, Baoding, China1
Affectiva1
Yahoo! Research1
Yahoo Research, Haifa, Israel1
Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel1
Intelligent Robotics Research Center Korea Institute of Science and Technology (KIST) Hawolgok-dong 39-1, Sungbuk-ku, Seoul 136-791, Korea dungding@kist.re.kr1
Department of Electrical and Computer Engineering, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 117941
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Qualcomm Technologies, Inc., San Diego, United States1
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China1
School of Information Science and Technology, Southwest Jiaotong University, Chengdou, P.R. China1
Electronic Telecommunication Division, Ho Chi Minh City University of Industry, Ho Chi Minh City, Vietnam1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
Department of Informatics and Telecommunications, National and Kapodestrian University of Athens, Athens, Greece1
School of Surveying and Geo-informatics, Tongji University, Shanghai, China1
IT Department, Faculty of Engineering, University of Mons, Belgium1
Fotonation LTD, Galway, Ireland1
Zhejiang Huayun, Zhejiang, China1
Google, Inc, Mountain View, USA1
NEC Laboratories America, Cupertino, USA1
Rutgers University, Piscataway, NJ, USA1
Hefei University of Technology, Chinese Academy of Sciences, & University of Chinese Academy of Sciences, Beijing, China1
Hefei University of Technology, HeFei, China1
Institute of Engineering & Technology, Devi AhilyaVishwavidyalaya, Indore(M.P.)1
Department of Information Technology, Devi AhilyaVishwavidyalaya, Indore(M.P.)1
Hohai University, No. 1 Xikang Road, Nanjing, Jiangsu Province, China1
Institute of Intelligent Information Processing, Xidian University, Xi'an, China1
Aalto University School of Science1
Aalto University School of Science and Tampere University of Technology1
Max Planck Institute of Informatics and Saarland University1
Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico1
Qualcomm, Santa Clara, CA1
UNIADEX, Ltd., Tokyo, Japan1
Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing 100094, P.R. China1
The Testing Center, The Third Research Institute of the Ministry of Public Security, Shanghai, China1
Department of Electrical and Electronics Engineering, Center for Image Analysis (OGAM) Middle East Technical University, Ankara, Turkey1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Sapienza Univertsity of Rome1
Fudan University, Shanghai , China1
Redwood Systems, Fremont, CA,USA.1
University of Washington, Seattle, WA, USA.1
Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Rakuten, Inc., Japan1
iRobot Corporation, 10 Greycoat Place, Victoria, London, UK1
School of Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, China1
INRS-EMT, Montreal, Canada1
Univ. of Sydney, NSW, Australia1
Department of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, U.K.1
Google Inc., New York City, NY, USA1
Computer Vision Research Group, Orand S.A. Estado 360 of 702, Santiago, Chile1
University Malaysia Perlis, Kangar, Malaysia1
Universidad de Las Palmas de Gran Canaria, Spain1
Purdue University1
Guangdong University of Technology1
University of Macau1
Guangdong University of Technology and City University of Hong Kong1
LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France1
Department of Computer Science, University of Adelaide, Australia1
Department of Mathematics and Physics, Lappeenranta University of Technology, Lappeenranta, Finland1
Department of Computer and Information Sciences, Temple University, United States of America1
Department of Computer Science, UNC Charlotte, United States of America1
School of Computer Science, Institute for Research in Fundamental Sciences (IPM)1
College of Mathematics & Computer Science, Wuhan Textile University, Wuhan, China1
The Green Building Materials and Manufacturing Engineering Research Center of Ministry of Education, Wuhan University of Technology, Wuhan, China1
Siemens Corporate Research, Plainsboro, USA1
University of Cambridge, Cambridge CB2 1TQ, UK1
Gipsa-lab, Grenoble INP, France1
Vesalis, Clermont Ferrand, France1
CMM, Mines Paristech, Fontainebleau, France1
Computer Application Research Center, Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China1
Institute of Computing Technology, Chinese Academy of Science, Beijing1
Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China1
Centre for Artificial Intelligence, School of Software, University of Technology Sydney Ultimo, NSW, Australia1
Zhixing College of HuBei University, Wuhan, China1
Department of Statistical Science, University College London, London, U.K.1
Thales Optronics, Glasgow1
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information Science and Technology, Nanjing, China1
School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Honda Research Institute USA, Inc., 425 National Avenue, Mountain View, CA-94043, USA1
ENSTA ParisTech, 828 Blvd des Marchaux, 91762 Palaiseau, France1
Interactive & Digital Media Institute, National University of Singapore, Singapore1
Department of Mechatronic Engineering, Fırat University, Elazığ, Turkey1
Institute of Automation, Chinese Academy of Sciences & Boomhope Information and Technology Co., Ltd, Beijing, China1
University of Trento , Povo - Trento, Italy1
Zhejiang University, Zhejiang, China1
China Electronics Technology Group Corporation, Beijing, China1
Vicomtech-IK4, San Sebastián, Spain1
Department of Anthropology, University College London, London, UK1
PRISM, Arizona State University, Tempe, USA1
Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China1
Louisiana State University, LA, USA1
Dermalog Identification Systems GmbH, Hamburg, Germany1
Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria1
Department of Information Technology, SSN College of Engineering Chennai, India1
Control System Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, MB, The Netherlands1
School of Computer Science and Technology, Wuhan University of Science and Technology, China1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
SEAS, Harvard University, Cambridge, Massachusetts 02138 United States1
AT&T Labs-Research, Middletown, New Jersey 07748 United States1
Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742 United States1
Fraunhofer Institute for Telecommunications - Heinrich-Hertz Institute1
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, Shenzhen, ChinaChina1
Mobile Video Networking Technology Research Center, Shenzhen Graduate School, Peking University, Shenzhen, China1
Center for Autonomous Systems , KTH Royal Institute of Technology, Sweden1
Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France1
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran1
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
Universidad Rey Juan Carlos, Móstoles, Spain1
School of Computer Science, Universidad Rey Juan Carlos, Móstoles, Spain1
Università di Salerno, Dipartimento di Informatica, Fisciano, Italy1
Department of Electrical and Computer Engineering, The Ohio State University, OH, Columbus, 43210, USA1
School of Science and Technology, Meiji University, Kanagawa, Japan1
Bilgisayar Mühendisliği Bölümü, İstanbul Medeniyet Üniversitesi, Goztepe, Türkiye1
School of International Business Communications, Dongbei University of Finance & Economics, Dalian, China1
Department of Computer Science and Engineering, University of California, Riverside, USA1
UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies in the Faculty of Engineering and Information Technologies, University of Sydney, Darlington, Australia1
Lenovo Group Ltd, Beijing, China1
Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 376731
University of Applied Sciences Jena, Jena, Germany1
Department of Mechanical and Aerospace Engineering, Syracuse University, USA1
Northeastern University, School of Information Science and Engineering, Shenyang, People’s Republic of China1
Dept. of Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK1
College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China1
Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan1
Utrecht University, Utrecht, UNK, Netherlands1
University of California at Los Angles, USA1
University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1
AGV Systems Pvt. Ltd. Mumbai1
Viterbi School of Engineering, University of Southern California, Los Angeles, CA1
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye1
Jet Propulsion Laboratory, California Institute of Technology, USA1
Division of Networks and Distributed Systems, School of Computer Engineering, Nanyang Technological University, Singapore1
Engineering Laboratory on Intelligent Perception for Internet of Things, Shenzhen Graduate School, Peking University, Shenzhen, China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Ultimo, Australia1
Nanyang Technological University School of Computer Engineering1
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, India1
School of Mathematics, Shri Mata Vaishno Devi University, Katra, Jammu, India1
Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Department of Psychology, Neuroscience and Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, Canada L8S 4K11
University of Oxford, Oxfordshire, United Kingdom1
Google DeepMind1
Five AI, Cambridge, United Kingdom1
Shanghai Film Academy, Shanghai University, Shanghai, China1
Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai, China1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Kodak Alaris, Inc., Rochester, NY, USA1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
University of Zagreb, Croatia1
Fraunhofer Institute for Computer Graphics Research, Germany1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Madrid, Spain1
Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain1
Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia1
Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur, Malaysia1
Center for Comparative Medicine, University of California, Davis, California, U.S.A.1
Department of Computer Science, Stanford University, Stanford, California, U.S.A.1
Ningbo Institute of Technology, Zhejiang University, China1
Universidad Autonoma de Madrid, Madrid, Spain1
Fuzhou University, Fuzhou, China1
Metoak Technology, Beijing, China1
University of Hong Kong, Hong Kong1
Interfaculty Initiative in Information Studies, The University of Tokyo, and JST, PRESTO1
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Technology Section, Israel National Police, Jerusalem, Israel1
Department of Electro-Optics Engineering, Ben-Gurion University, Beer Sheva, Israel1
College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Graduate School of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
EY AI Lab, Palo Alto, USA1
University of New South Wales, Sydney, Australia1
Macquarie University, Sydney, Australia1
Biomedical Engineering Program, University of Manitoba, Winnipeg, Canada1
Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China1
New York University, Shanghai, China1
Rutgers, The State University of New Jersey, USA1
Sandvik Mining and Construction Oyj, Tampere, Finland1
University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany1
Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom1
School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand1
Kyushu Sangyo University, Fukuoka, Japan1
Monash University, Clayton, Australia1
Polytechnic University, Bari, Italy1
University of Minho, Braga, Portugal1
Covenant University, Canaanland, Nigeria1
University of Basilicata, Potenza, Italy1
University of Perugia, Perugia, Italy1
Shenzhen Center for Disease Control and Prevention, Shenzhen, China1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, University of Chinese Academy of Sciences, Beijing, China1
MBRDNA, Sunnyvale, US1
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China1
The State Grid HuBei Information and Telecommunication Company, Wuhan, China1
Key Lab of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Department of information, Hamburg University, Hamburg, Germany1
Center for Space Automation Technology and Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China1
Center for Space Automation Technology and Systems, Shenyang Institute of Automation, University of Chinese Academy of Sciences, Shenyang, China1
School of Electronic Information Engineering, Tianjin University, 300072, China1
School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, U.K.1
Department of Computer Science, University of Brasilia, Brasília, Brazil1
Department of Electronics Engineering, University of Brasilia, Brasília, Brazil1
School of Information Science and Technology, Northwest University1
London School of Economics, London1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India1
Department of Neurocognition, Maastricht University, Maastricht, The Netherlands1
Department of Psychonomics and Psychopharmacology, Utrecht University, Utrecht, The Netherlands1
Department of Child and Adolescent Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands1
Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki City, Japan1
School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China1
University of the Basque Country UPV/EHU, San Sebastian, Spain1
Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain1
College of Computer Science, Dalian University of Technology, Dalian, China1
University of Antwerp, Wilrijk, Belgium1
CSIRO ICT Centre, Sydney, Australia1
Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium1
DGA, Bagneux, France1
National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Cheng Shiu University, Kaohsiung, Taiwan1
Universit´a di Salerno, 84084 Fisciano1
Department of Computer Science, University of Texas at San Antonio, TX, USA. qitian@cs.utsa.edu1
Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com1
Department of Computer Science, University of Texas at San Antonio, TX, USA. lyijuan@cs.utsa.edu1
Université des Antilles et de la Guyane (UAG), France1
Institut des Systèmes intelligents et de Robotique, UPMC, France1
Military College of Signals. Rawalpindi, Pakistan1
Department of Electrical and Computer Engineering, University of Florida, Gainesville, Fl, USA1
AnalytXbook inc., Boston, MA, USA1
Chinese Academy of Sciences, Beijing, China, Harbin Institute of Technology, Harbin, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Chinese Academy of Sciences, Beijing, China and Harbin Institute of Technology, Harbin, China1
Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Faculty of Information Technology, Brno University of Technology, Czech republic1
Xiamen University of Technology, Fujian, China1
Division of Electrical Engineering, Hanyang University, Ansan, South Korea1
School of Computing and Communication, University of Technology, Sydney, Australia1
Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea1
Department of Electrical Engineering, Imperial College, London, UK1
Department of Electrical-Mechanical Manufacturing Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand1
Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Department of Software Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China1
Department of Mathematical Sciences, Georgia Southern University, Statesboro, USA1
Signal and Information Processing section (SIP), Department of Electronic Systems, Aalborg University, Denmark1
Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark1
Chinese Academy of Sciences, Shaanxi, P. R. China1
University of Sydney, NSW, Australia1
Chinese University of Hong Kong, Hong Kong1
Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria1
Mechanical and Systems Research Laboratories, Institute of Industrial Technology Research, Hsinchu, Taiwan 310, China1
State Grid Yue Yang Power Supply Company, Yueyang, 414000, China1
College of Education Science, Hunan Normal University, Changsha, 410081, Hunan1
Hunan Normal University, Changsha, 410081, Hunan1
The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China1
California Institute of Technology, Pasadena, CA 91125, USA. lihi@vision.caltech.edu1
Weizmann Institute of Science, Rehovot, Israel. tal.hassner@weizmann.ac.il1
Weizmann Institute of Science, Rehovot, Israel. ronen.basri@weizmann.ac.il1
Department of Electronic EngineeringCentre for Vision, Speech and Signal Processing, University of Surrey, Surrey, U.K.1
Department of Electrical EngineeringFaculty of Engineering, Urmia University, Urmia, Iran1
the Crash Safety Research Center, LLC, East Hampton, CT, USA1
University of Wisconsin-Madison, WI1
School of Computing Science, Northwestern Polytechnical University, Xi’an, China1
School of Computing and Intelligent Systems, Ulster University, Londonderry, Northern Ireland, UK1
UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France1
Instituto Nacional de Astrofísica, Puebla, Mexico1
Beijing Faceall Technology Co., Ltd, Beijing, China1
Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France1
National University of Singapore, Singapore, Singapore, Singapore1
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China1
Deparment of Computing, Goldsmiths, University of London, London, UK1
Graduate School of Engineering Science, Osaka University, Toyonaka, Japan1
Department of Statistics and Computer Science, University of Peradeniya, Sri Lanka1
Postgraduate Institute of Science, University of Peradeniya, Sri Lanka1
National Engineering Laboratory for Neuromodulation, Precision Medicine and Healthcare Research Center, Center of Epilepsy, School of Aerospace Engineering, Man-Machine-Environment Engineering Institute, Beijing Institute for Brain Disorders, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Beijing, China1
Tsinghua University Yuquan Hospital, Beijing, China1
Department of Information Technology, YCCE, Nagpur, India1
Michigan State University1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, People’s Republic of China1
ITK Engineering GmbH, Computer Vision Team, Lollar, Germany1
Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany1
IBM T.J. Watson Research Center, Hawthorne, USA1
University of Science Technology, Wuhan, China1
Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia1
University at Qatar, Doha, Qatar1
University of Istanbul, Istanbul, Turkey1
Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India1
Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India1
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China1
LJK–INRIA site, LJK–CNRS, Montbonnot, France1
Department of Electrical and Computer Engineering, University of California Santa Barbara1
Department of Computer Science, University of California Santa Barbara1
Beijing Jiaotong University, Beijing, China and China Three Gorges University, Yichang, Hubei, China1
Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada1
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.1
faculty of Science and Technology, University of Macau, Macau1
Department of Automation, Automotive Electronics and Embedded System Engineering Research Center, Chongqing University of Posts and Telecommunications, Chongqing, China1
Elec. Engineering and Computer Science, Queen Mary University of London, London, United Kingdom1
Dept. of Computer Science, National University of Singapore, Singapore, Singapore1
Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada1
Department of Electrical Engineering, University of New Orleans, LA 70148, U.S.A1
KnowledgeNet Corporation, Saudi Arabia1
Dept. of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Department of Physics, Northeastern University, 360 Huntington Ave, Boston, MA, USA1
Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
Advanced Digital Sciences Center, Connexis North Tower, Singapore1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong, China1
L3i Laboratory, La Rochelle University, Rochelle, France1
LITIS Laboratory, Rouen University, Rouen, France1
University of Nottingham, Nottingham, UK1
Department of Computer Science, City University of Hong Kong, Honk Kong, China1
National University of Ireland, Maynooth, Ireland1
LORIA, Villers-lès-Nancy Cedex, France1
Centre de Visió per Computador, Barcelona, Spain1
Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom1
Department of Computer Science and Software Engineering, Xi'an Jiaotong–Liverpool University, Suzhou, China1
York University, Toronto1
Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy1
National Institutes of Health (NIH) Clinical Center, Bethesda, MD1
Departamento de Informtica e Matemtica Aplicada/University of Rio Grande do Norte, Natal, Brazil1
Computer Engineering Department, Girne American University, Kyrenia, Cyprus 901
School of Engineering and Digital Arts, University of Kent, Canterbury, U.K.1
Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico1
Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA1
Computer Vision Lab, ETH Zürich, Zürich, Switzerland1
Zürich University Hospital1
Münsingen Regional Hospital1
Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, People’s Republic of China1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, People’s Republic of China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, People’s Republic of China1
Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India1
Computer Science &Engineering, Sathyabama University, Chennai, India1
University of Washington &Microsoft, Seattle, WA, USA1
Agora University of Oradea, Oradea, Romania1
Faculty of Electronics, Telecommunications and Information University Politehnica of Bucharest, Bucharest, Romania1
Computer Science Department, University Politehnica of Bucharest & IT Center for Science and Technology, Bucharest, Romania1
School of Electrical Engineering and Computer Science, Key Laboratory of Machine Perception, Peking University, Beijing, China1
Dept. of Civil, Institute for Transportation, Iowa State University1
Biometrics Engineering Research Center, Yonsei University, Seoul, Korea1
Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 203751
Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 283011
Computer Science Dept. University of Maryland College Park, MD 207421
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom dave.marshall@cs.cardiff.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom paul.rosin@cs.cardiff.ac.uk1
School of Computer Science, University of Bath, Bath BA2 7AY, United Kingdom dpc@cs.bath.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom l.truong-benedikt@cs.cardiff.ac.uk1
Division of Engineering, New York University, Abu Dhabi, Abu Dhabi, United Arab Emirates1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong1
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland1
Centre of Quantum Computation and Intelligent Systems, University of Technology Sydney, Broadway, NSW, Australia1
University of New South Wales, Sydney, NSW, Australia1
University of Adelaide, Adelaide, SA, Australia1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xi'an, China1
University of Kentucky, Lexington1
PSI-ESAT / ETHZ1
Sharif Tech1
PSI-ESAT1
School of Integrated Technology, Yonsei University. Incheon, Korea1
School of Integrated Technology, Yonsei University, Incheon, Korea1
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China1
College of Communication Engineering, Chongqing University, Shapingba district, Chongqing, China1
Google Inc., Zurich, Switzerland1
College of Information and Control Engineering, China University of Petroleum, Beijing, China1
Chinese Academy of Science, Institute of Information Engineering, Beijing, China1
Rutgers University, 94 Brett Rd, Piscataway Township, NJ 08854, USA1
Fujitsu Laboratories Ltd., Kanagawa, Japan1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle upon Tyne, NE1 8ST, UK1
Department of Electronic and Electrical Engineering, The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK1
Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. jshi@cis.upenn.edu1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. psrin@seas.upenn.edu1
Dalian University of Technology, Dalian City1
Samsung Computer Vision Group Telecom R&D Center Beijing1
SeaTech School, Toulon University, La Garde, France1
LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France1
School of information technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China1
Drexel University, Philidelphia, PA, USA1
Memorial University, St. John's, NF, Canada1
ISC-PIF, CNRS, Paris, France1
Islamic Azad University Arak Branch, Young Researchers Club Arak, Iran1
Islamic Azad University Arak Branch, Iran1
Islamic Azad University Shazand Branch, Iran1
School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom1
Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin, China1
Dept. of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Köln, Germany1
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA1
Computer Science and Engineering, CENG, Qatar University, Doha, Qatar1
LE2i Laboratory, University of Burgundy, Dijon, France1
Electrical and Computer Engineering Dept., National University of Singapore, Singapore 1175761
Siemens AG, Corporate Technology, 81739 Munich, Germany1
School of Computing, Teesside University, UK1
Department of Biomedical Engineering, University of Florida, Gainesville, USA1
LMU Munich, Germany and Munich University of Applied Sciences, Germany and Bundeswehr University Munich, Germany1
LMU Munich, Germany and University of Glasgow, Scotland1
Medical College Kolkata, Kolkata, India1
Centre for Image Analysis, Uppsala University, Uppsala, Sweden1
School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India1
Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India1
School of Mathematics and Statistics, Guangdong University of Finance and Economics, Guangzhou, China1
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, gtumuklu@ceng.metu.edu.tr1
ACT Inc., Iowa City, IA, USA1
Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea1
TNLIST and Department of Automation, Tsinghua University, China1
CAS, Key Lab of Intell. Info. Process., Institute of Computing Technology, Beijing, China1
Dept. of Biomedical Eng., University of Padua, Italy. enrico.grisan@unipd.it1
Dept. of Electr. Eng. and Physics, Heriot-Watt University, UK. p.favaro@hw.ac.uk1
Computer Science Dept., UCLA, USA. vedaldi@ucla.edu1
Instituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Santarém, Pará, Brasil1
Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Hue University of Sciences, Vietnam1
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), and the Key Laboratory of Machine Perception, Peking University, Beijing, 100087 China1
Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium1
School of Electronics and Information Engineering, Xi'an Jiaotong University, China1
Department of Computer Science, Johns Hopkins University, Baltimore, United States1
Indian Institute of Engineering Science and Technology, Shibpur, India1
Department of Computer ScienceCortical Architecture Imaging and Discovery Laboratory, University of Georgia, Athens, GA, USA1
Civolution Technology, Eindhoven, The Netherlands1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle, U.K.1
Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement CEREMA, 76000 Rouen, France1
Tata Consultancy Services Ltd., TCS Research & Innovation, Kolkata, India1
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China1
Progeny Systems Corporation, 9500 Innovation Drive, Manassas VA 20110, USA1
Department of ECE Marian Engineering College Trivandrum, India1
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong1
PolyU Shenzhen Research Institute, Shenzhen, China1
Computer and Information Science Department, University of Pennsylvania, Philadelphia, PA, USA1
Medical Image Analysis Lab, Simon Fraser University, Burnaby, Canada1
BiSICL, University of British Columbia, Vancouver, Canada1
New York University1
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China1
Intel, Kontich, Belgium1
Aristotle University of Thessaloniki, Department of Informatics, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@aiia.csd.auth.gr1
Microsoft Research Asia &Institute of Computing Technology, CAS, Beijing, China1
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China1
EECS, UC Berkeley1
Department of Computer Science, Rutgers University, Piscataway, New Jersey 08854, USA1
INRIA Grenoble-Rhône-Alpes Research Center, France1
School of Computer Science and Information, Anhui Polytechnic University, Wuhu, China1
Dept. of Computer Science, University of Houston, 4800 Calhoun, TX 77204-3010, U.S.A.1
School of Computer and Information, AnHui Polytechnic University, WuHu, China1
Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University, Iksan, Korea1
Qualcomm Technologies, Inc., San Diego, CA1
Kyushu Institute of Technology, Japan1
Delft University of Technology, Delft & Radboud University, Nijmegen, Netherlands1
St.-Petersburg Electrotechnical University, St.-Petersburg, Russia1
West Pomeranian University of Technology, Szczecin, Poland1
Department of Information Engineering, University of Florence, Firenze, Italy1
Electrical Engineering Department, IIT Roorkee, India1
Computer Engineering, Rochester Institute of Technology, New York 14623, USA1
Computing & Informational Sciences, Rochester Institute of Technology, New York 14623, USA1
National Formosa University, Yunlin, Taiwan1
Electrical Engineering Department, Kuwait University, Safat, Kuwait1
Electronic and Electrical Engineering Department, University of Surrey, Guildford, United Kingdom1
Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India1
University of Thiqar, Iraq1
Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India1
Dept. of Computer Science and Engineering, The Ohio State University, USA1
Dept. of Electrical and Computer Engineering, University of Macau, China1
Brno University of Technology, Brno, Czech Rep1
Brno University of Technology & Adobe Research, Brno, Czech Rep1
Waseda University, Shanghai JiaoTong University1
Department of Electrical Engineering, Shahid Rajaee University, Tehran, Iran1
Department of Electrical Engineering, Tarbiat Modarres University, Tehran, Iran1
School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran1
L2F - INESC-ID, Systems and Computers Research Institute, Lisbon, Portugal1
University of Sydney1
School of Information and Communication Technology, Griffith University, Southport, QLD, Australia1
Queensland Brain Institute, University of Queensland, Queensland, QLD, Australia1
School of Mathematics and Statistics, Xian Jiaotong University, Xian, China1
Vesalis company, Clermont-Ferrand, France1
College of Science, Northeast Agricultural University, Harbin, China1
College of Economics and Management, Northeast Agricultural University, Harbin, China1
College of Engineering, Northeast Agricultural University, Harbin, China1
School of Science and Engineering, Tokyo Institute of Technology, Japan1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, via Mersin 10, Turkey1
Department of Computer Engineering, Cyprus International University, via Mersin 10, Turkey1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. ramanath@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
School of Electrical Engineering, Nantong University, Nantong, China1
Chinese Academy of Sciences, Chongqing, China1
Chinese Academy of Sciences, Chongqing, Singapore1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de1
Chinese Academy of Engineering, Beijing, China1
Department of Biomedical Engineering, South China University of Technology, Guangdong, China1
Superintendência de Prevenção e Proteção Universitária, University of São Paulo, São Paulo, Brazil1
Faculdade de Medicina Veterinária e Zootecnia, University of São Paulo1
Institute of Mathematics and Statistics, University of São Paulo1
University of Calgary, Calgary, T3G 2T6 AB, CANADA1
University of Louisville, Louisville, KY 40292 USA1
Tubitak Bilgem Information Technologies Institute, Kocaeli, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, ITU Ayazaga Campus, Maslak/Istanbul1
State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100088, China; State Key Lab of Wireless Mobile Communication, China Academy of Telecommunication Technology, Beijing 100191, China1
Info. Strategy Office, Nagoya University, Japan1
Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia1
Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel1
Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel1
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Australia1
Department of Systems Engineering and Automation, University of Vigo, Pontevedra, Spain1
University of Science & Technology (UST), Daejeon, Korea1
School of EEE, Nanyang Technological University, Singapore, Singapore1
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
Max Planck Institute for Informatics, Saarbrucken, Germany1
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Türkiye1
Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States1
Art History, University of California, Riverside, Riverside, California United States1
Electrical Engineering, University of California, Riverside, Riverside, California 92521 United States1
Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain1
Distributed Infinity, Inc., Larkspur, CO, USA1
University of Colorado Denver, Denver, CO, USA1
MIT World Peace University1
Project Lead Persistent Systems Ltd1
Adobe Systems Inc., San Jose, CA, USA1
Department of Computer Science, UNC Chapel Hill, NC 27599, USA1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Department of Computer Science and Engineering, Chinese University of Hong Kong, Hongkong, People’s Republic of China1
Computer Science, University of North Carolina at Charlotte1
Department of Computer Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA1
Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan1
TELNET Innovation Labs, Tunis, Tunisia1
Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain1
College of Computer Science and Engineering, Northeastern University, Shenyang, People’s Republic of China1
Department of Psychiatry and Neurosciences, Department of Psychiatry and Neurosciences, University of Missouri Kansas City (UMKC), Kansas City, USA1
Center for Neuropsych Research of Traumatic Stress, Charles University Department of Psychiatry, Prague, Czech Republic1
Department of Psychology,, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom1
EECS, University of Massachusetts at Lowell, Lowell, MA, USA1
Friedrich Schiller University of Jena, Germany1
EECS, University of California at Berkeley, Berkeley, CA, USA1
Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy1
CSE, Jeppiaar Engineering College, Tamilnadu, India1
CSE-Dept, Sathyabama University, Tamilnadu, India1
INRIA Bordeaux Sud Ouest, France1
LIMSI-CNRS, Orsay Cedex, France1
Brown University, Providence, USA1
Weta Digital, Wellington, New Zealand1
Middlebury College, Middlebury, USA1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: hintz@it.uts.edu.au1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: jant@it.uts.edu.au1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: pohsiang@it.uts.edu.au1
Dept. of Mathematics and Computer Science, University of Udine, Italy1
Department of Computer Science & Engineering, Indian Institute of Technology, Kanpur, India1
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India1
Center for AI & Robotics, DRDO Complex, Bangalore, India1
Department of Control, Instrumentation Engineering, Hanbat National University, Daejeon, Korea1
Miss Poter's School, Farmington, USA1
Moscow State University Department of Computational Mathematics and Cybernetics, Moscow, Russia1
Inspur, Shangdong, China1
EPFL IC ISIM LAP, Lausanne, Switzerland1
National Key Laboratory of Parallel and Distributed Processing, National University of Defense Technology, Changsha, China1
Council of Scientific and Industrial Research (CSIR), New Delhi, India1
School of Automation, Huazhong University of Science and Technology, Wuhan, China and Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen, China1
Department of Computer Science, National Chiao-Tung University, Hsinchu, Taiwan1
Department of Electronics & Communication Engineering, Delhi Technological University, India1
Institute of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu, Taiwan1
School of Electrical and Data Engineering, FEIT, University of Technology Sydney, Australia1
Institute of Computer Science and Engineering, National Chiao-Tung University, Hsinchu, Taiwan1
SCS, Carnegie Mellon University, Pittsburgh, USA1
Department of Computer Science, University of Frères Mentouri, Constantine, Algeria1
Faculty of Computers and Information, Menoufia University, Menoufia, Egypt1
Administrative Office of Computer School of Pingdingshan University, Pingdingshan, China1
DISI, University of Trento, Trento, Italy1
LAPI, University Politehnica of Bucharest, Bucharest, Romania1
Zhejiang University & Carnegie Mellon University, Hangzhou, China1
Southwest Jiaotong University & Carnegie Mellon University, Chengdu, China1
School of International Education, University of Electronic Science and Technology of China, Chengdu, China, 6117311
National Engineering Laboratory of Visual Information Processing Applications, Xi’an Jiaotong University, Xi’an, China1
Collaborative Innovation Center of Intelligent New Energy Vehicle, Tongji University, Shanghai, China1
School of Science, Jiangnan University, Wuxi, People’s Republic of China1
Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, USA1
Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Ministry of Education, Wuxi, People’s Republic of China1
School of Internet of Things, Jiangnan University, Wuxi, People’s Republic of China1
Department of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey1
Informatics Institute, Faculty of Science, University of Amsterdam. The Netherlands1
Jiangsu University, Chinese Academy of Sciences, Zhenjiang, China1
AMF-319, IŞIK University, Ístanbul, Turkey1
North China Sea Environmental Monitoring Center, State Oceanic Administration1
School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA1
School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China 10008761
Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala1
Dept. of EC Engineering, LBS Institute of technology for Women, Poojapura, Trivandrum, Kerala1
Computer Science Department, Stony Brook University, samaras@cs.sunysb.edu1
Microsoft Research, zhang@microsoft.com1
IBM T.J.Watson Research Center, zhenwen@us.ibm.com1
Microsoft Live Labs Research, ganghua@microsoft.com1
Microsoft Research, zliu@microsoft.com1
The Robotics Institute, Carnegie Mellon University, wangy@cs.cmu.edu1
Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, CA1
Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey1
Department of Communication Engineering, Yuan Ze University, Chungli, Taiwan1
Electrical Engineering, Indian Institute of Science, Bangalore, Karnataka, India1
The University of Texas at Dallas1
Fayetteville State University1
Microsoft Research Asia, 49 Zhichun Road, Beijing, 100190, China1
Pontifical Catholic University of Rio Grande do Sul, PUCRS - Porto Alegre, Brazil1
Pontifical Catholic University of Rio de Janeiro1
University of Ottawa1
Nagoya University, Furo cho, Chikusa ku, Aichi, Japan1
Department of Electrical Engineering, University of Washington, Seattle, 98195, USA1
College of Physics and Electronic Information, Wenzhou University, Wenzhou, China1
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
LIASD research Lab., University of Paris 8, Saint-Denis, France1
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Guelma, Algeria1
Ship Intelligence, Rolls-Royce Marine1
University of Science, Department of Computer Science, Ho Chi Minh city, Vietnam1
Department of Informatics, UC Irvine, Irvine, USA1
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA1
Department of Computer Science, UC Irvine, Irvine, USA1
Department of Computer Science, University of California at Davis, Davis, USA1
Korea Institute of Oriental Medicine, Daejeon, South Korea1
Faculty of Computer Science, Technical University, Cluj-Napoca, Romania1
Department of Electrical and Computer Engineering, University of Denver, Denver, USA1
Education Technology and Information Center, Shenzhen Polytechnic, Shenzhen, China1
School of Astronautics, Harbin Institute of Technology, Harbin, China1
School of Computer Science and Technology, Jilin University1
Monash University, Australia1
FotoNation Ltd., Galway, Ireland1
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India1
Computer Vision Center/Computer Science Department, Universitat Autonoma de Barcelona, Barcelona, Spain1
Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi’an, China1
University of Klagenfurt1
University of Catania1
TU Delft & Radboud University Nijmegen1
Department of Computing, Federal University of Piauí, Teresina, Brazil1
Academy of Computer Science and Software Engineering, University of Johannesburg, Corner Kingsway and University Road Auckland Park, South Africa, 20921
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA1
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
MediaTek, Inc., Hsinchu, Taiwan1
UBTECH Robotics, Shenzhen, China1
UBTech Sydney Artificial Intelligence Institute1
School of Science and Technology, Nottingham Trent University, Nottingham, UK1
Department of Electronics and Computer Science, University of Southampton, Southampton, UK1
Intelligent Systems Research Centre, University of Ulster, Londonderry, UK1
School of Mathematics and Computer Science, Faculty of Science and Engineering, City Campus, University of Wolverhampton, Wolverhampton, England, UK1
Department of Physics, Tripura University (A Central University), Suryamaninagar, Tripura, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, Tripura, India1
Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Islamic Azad University, Qazvin Branch, Iran1
Elektronik ve Haberleşme Mühendisliği Bölümü1
iTeam - Universitat Politècnica de València, València, Valencia, Spain1
Department of Computer Science, University of Peshawar, Peshawar, Pakistan1
School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China1
Engineering Research Center of Information Networks, Ministry of Education, Beijing, China1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, China1
School of Civil Engineering, Chongqing University, China1
Electronic Information Engineering College, Henan University of Science and Technology, Luoyang, China1
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, Email: houyang@ee.cuhk.edu.hk1
Universidad de León, León, Spain1
Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey1
School of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA1
Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China1
Netflix, Los Gatos, CA, USA1
Adobe Systems, San Jose, CA, USA1
Department of Electrical and Electronic Engineering, Shizuoka University, Shizuoka, Japan1
Department of Aerospace and Mechanical Engineering, Embry-Riddle Aeronautical University, Prescott, AZ, USA1
Beihang University, China1
Department of Computer Science, The University of York, York, U.K.1
College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350108, China1
School of Software, Xiamen University, Xiamen, China1
Graduate School of System Informatics, Kobe University, Kobe, Japan1
Center for Computational Social Science, Kobe University, Kobe, Japan1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:pitas@aiia.csd.auth.gr1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:vasilis@aiia.csd.auth.gr1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:vretos@aiia.csd.auth.gr1
NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan1
Robert Bosch Engineering and Business Solutions Limited, Bangalore, India1
Department of Instrumentation and Control Engineering, PSG College of Technology, Coimbatore, India1
United Technologies Research Center, Cork, Ireland1
Department of Information Security Engineering, Shanghai Jiao Tong University, Shanghai, China1
Department of Mathematics, Jiaying University, Meizhou, China1
Beihang Univ, Dept Measurement Control & Informat Technol, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China1
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China1
Carnegie Mellon University - Silicon Valley, Moffett Field, CA, USA1
Dept. of Electronics, Telecommunications and IT, University “Politehnica” of Bucharest, Romania1
Sabaticı Üniversitesi, İstanbul, Türkiye1
Microsoft Research Redmond, Redmond, USA1
Robert Bosch GmbH, Chassis Systems Control, Stuttgart-Vaihingen, Germany1
Robert Bosch GmbH, Corporate Research, Renningen, Germany1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, People’s Republic of China1
Department of Multimedia, Sungkyul University, Anyang, Korea1
School of Computer Science, Harbin Institute of Technology, Harbin , China1
Delft University of Technology, EEMCS, Delft, The Netherlands, reinierz@gmail.com1
Imperial College London, Computing Department, London, U.K., m.pantic@imperial.ac.uk1
Korea Electronics Technology Institute, Korea1
Department of Electronic Engineering and Computer Science, The Catholic University of America, Washington, DC, USA1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Faculty of Electrical and Computer Eng., Babol University of Technology, Babol, Iran1
Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan1
Computer Vision and Robotic Laboratory, Instituto Superior Técnico, Lisbon, Portugal1
Learning Algorithms and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL-STI-I2S-LASA, Lausanne, Switzerland1
Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, and the Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA1
Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada1
Department of Computer and Information Science, University of Macau, Macau1
College of Transportation and Management, Dalian Maritime University, Dalian 116026, China1
LG Electronics Institute of Technology, Seoul, Korea1
Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada1
St. Joseph’s Health Care, London, ON, Canada1
Northumbria University, Newcastle upon Tyne, U.K.1
NOAA/AOML, Hurricane Research Division, 4301 Rickenbacker Cswy, Miami, FL 33149, USA1
Down Syndrome Research Foundation, Vancouver, BC, Canada1
Departments of Computer Science and Applied Mathematics, Stony Brook, NY 11794, USA1
United Technologies Research Center, 411 Silver Lane, East Hartford, CT 06108, USA1
Department of Electrical and Computer Engineering, University of Alabama at Birmingham, 35294, USA1
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India1
Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada1
Department of Computer Science, Hong Kong Baptist University,1
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Center for Applied Mathematics, Tianjin University, Tianjin, China1
Department of Mathematics, School of Science, Tianjin University, Tianjin, China1
Faculty of Applied Mathematics, Shanxi University of Finance and Economics1
Illinois Univ., Urbana, IL, USA1
C-Core, St. John's, Nfld., Canada1
University of Bonn, Bonn, Germany1
Middle East Technical University, Ankara, Turkey1
School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Qld, Australia1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu1
University of Electronic Science and Technology of China, Chengdu1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, People’s Republic of China1
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan1
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, People’s Republic of China1
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China1
IBM Research, Singapore1
Department of Computer Science, University of Milan, Milan, Italy1
Department of Mathematics “Federigo Enriques”, University of Milan, Milan, Italy1
Indian Institute of Technology, Mandi, India1
National Institute of Technology, Hamirpur, India1
Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy1
Department of Electronic and Electrical Engineering, Gaziantep University, Gaziantep, Turkey1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. guskov@eecs.umich.edu1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. xinju@eecs.umich.edu1
Université Of Bourgogne, France1
Delft University of Technology, Amsterdam, Holland1
Huawei Research and Development, Santa Clara, CA, USA1
Centro de Ciências do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal1
Instituto Português do Mar e da Atmosfera (IPMA), Divisão de Modelação e Gestão de Recursos da Pesca, Lisbon, Portugal1
Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal1
Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia1
Laboratory of Psychopathology and Neuropsychology (LPN, EA2027), Université Paris 8, Saint-Denis 93526 cedex, France1
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, AE Enschede, The Netherlands1
Washington State University, Box 642752, Pullman, 99164-2752, United States1
Tennessee Technological University, Box 5101, Cookeville, 38505, United States1
UC San Diego, La Jolla, CA1
Department of Cybernetics, Czech Technical University, Prague, Czech Republic1
Department of Cybernetics, Centre for Machine Perception, Czech Technical University, Praha, Czech Republic1
School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China1
Shenzhen Konka Communication Technology Company, China1
Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland1
Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany1
Center for Economics and Neuroscience, University of Bonn, Bonn, Germany1
Laboratory of Neurogenetics, University of Bonn, Bonn, Germany1
Department of Psychology, University of Bonn, Bonn, Germany1
Center for Research in Intelligent Systems, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Computer Science, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Electrical Engineering, University of California Riverside, Riverside1
Nanyang Technological University, China and Chinese Academy of Sciences, China1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zqzhuang@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. email: binli@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. alang_yao@mail.ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. chenhong@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zwcong@mail.ustc.edu.cn1
Blaise Pascal University, France1
University of Sousse, Tunisia, Blaise Pascal University, France1
School of Automation, Beijing University of Posts and Telecommunications, 100876, China1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, 639798, Singapore1
ENSEEIHT, Toulouse, France1
Florida Atlantic University, Boca Raton, USA1
Dept. of Computer Science, U. of Texas at Austin1
Laboratory of Media Dynamics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
Vision & Sensing Group, HCC Lab, University of Canberra, Australia1
iHCC, Australian National University, Australia1
Department of Computer Science, University of Texas at Arlington, 500 UTA Boulevard, USA1
School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK1
Nanjing University of Information Science and Technology, China1
Max-Planck-Institute for Informatics, Saarbruecken, Germany1
University of Erlangen-Nuremberg, Erlangen, Germany1
Stanford University, Stanford, United States of America1
Cornell University, New York, NY, USA1
Cornell University & Facebook Inc., New York, NY, USA1
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, 3801 University St, QC H3A 2B4, Canada1
Dept. of Computer Science and Engineering, The University of Texas at Arlington, Arlington, USA1
iCV Research Group, Institute of Technology, University of Tartu, 50411, Estonia1
Dept. Mathematics and Informatics, University of Barcelona, Computer Vision Center, Spain1
Institute of Technology, University of Tartu, 50411, Estonia1
Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil1
Emory University School of Medicine, Atlanta, USA1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA1
Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
Amazon.com Cambridge, MA, USA1
Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 100291
Dept. of ENME College Park, University of Maryland, College Park, MD, 207421
Electrical & Computer Engineering Department, Temple University, Philadelphia, PA, USA1
I-Fusion Technologies, Inc, Germantown, MD, USA1
Center of Network and Computation, Huazhong University of Science and Technology, Wuhan, China1
School of Computer and Information, Anqing Normal University, Anqing, China1
School of Computer Science and Engineering, Beihang University, 100091, Beijing, China1
Department of Computer Science and Engineering, Southeast University, Nanjing, China1
School of Mathematics and Statics, WuHan University, HuBei, China1
IBM T.J. Watson Research Center, Yorktown Heights, NY, USA1
Digital Western1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia; Institute of Management of Technology, National Chiao-Tung University, Taiwan. e-mail: debbiechu@itri.org.tw1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia. Fax: +61-3-94795971, Email: r.khosla@latrobe.edu.au1
Shenyang Institute of Automation, Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, CAS. Key Laboratory of Image Understanding and Computer Vision, Shenyang, China1
Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA1
St. Pölten Univ. of Applied Sciences, St. Pölten, Austria1
University of Vienna & Vienna University of Technology, Vienna, Austria1
Department of Computer Science, Northumbria University, Newcastle, UK1
Graduate University of the Chinese Academy of Sciences, 19A Yuquanlu, Beijing, 100049, China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 710119, Shaanxi, China1
Scientific Initiation Program State University of Maringá, Avenida Colombo, 5790, Maringá - Paraná - Brasil1
Computer Science Dapartment, Federal University of Technology - Paraná Via Rosalina Maria dos Santos, 1233, Campo Mourao - Parana - Brasil1
University of Rajshahi, Bangladesh1
NVIDIA, Leesburg, USA1
Intel Corp., Santa Clara, USA1
University of Delaware, Newark, USA1
Indiana University, Indianapolis, USA1
NextGen Interactions, Raleigh, USA1
The University of Texas at Dallas, Richardson, USA1
Department of Computer Science and Engineering, University of Nevada at Reno, USA1
Labri, University of Bordeaux, France1
National Laboratory of Pattern Recognition at Institute of Automation, Chinese Academy of Sciences, Haidian, Beijing, China1
Mathematical Institute, University of Oxford, UK1
Department of Cognitive Sciences, University of Trento, Italy1
SMME, National University of Sciences & Technology, Islamabad, Pakistan1
National Technical University of Athens/ University of the Aegean, Athens, Greece1
Signal and System Research Unit, ENIT, le belvedere 1002, Tunis, Tunisia1
Drake University, Des Moines, IA, USA1
CoR-Lab, University of Bielefeld, Universitaetsstr. 25, 33615 Bielefeld, Germany1
Shanghai Maritime University, Shanghai, China1
Machine Intelligence Research Institute, Rockville, USA1
Computer Engineering Department PCCOE, Pune, India1
PCCOE Information Technology Department PCCOE, Pune, India1
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110004, China1
Computer Vision and Robotics Research, University of California, San Diego, La Jolla, California 92093-04341
University of Pittsburgh and Adjunct Faculty at the Robotics Institute, Carnegie Mellon University: 3137 Sennott Square, 210 S. Bouquet St., PA 15260 USA1
Institute of Creative Technologies, University of Southern California, Los Angeles, California, 900941
City University of Macau, Xian Xing Hai, Macau1
Zhuhai Da Hengqin Science and Technology Development Co.,Ltd, Zhuhai, China1
Key Laboratory of Child Development and Learning Science, Ministry of Education, School of Biological Sciences and Medical Engineering, Southeast Universit, Nanjing, China1
Information Processing and Telecommunications Laboratory, Computer Science Department, Faculty of Science and Technology, Sultan Moulay Slimane University, Mghila, Beni Mellal, Morocco1
SAIIP, School of Computer Science, Northwestern Polytechnical University, Xi’an, China1
Chung-Shan Institute of Science and Technology, Taiwan ROC1
Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan, ROC1
Department of Electrical and Computer Engineering, Duke University, USA1
Psychology Department at California State University, Fullerton, California, US1
Information Systems and Decision Sciences Department at California State University, Fullerton, California, US1
Graduate School of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan1
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Big Data Intelligent Computing of Zhejiang Province, Innovation Joint Research Center for ICPS, College of Computer Science and Technology, Zhejiang University, Hangzhou, China1
University Library, Vrije Universiteit Brussel, Pleinlaan 2, Brussel, Belgium1
Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada1
University of Applied Sciences of Western Switzerland, Fribourg, Switzerland1
University of Applied Sciences of Western Switzerland - Fribourg, Fribourg, Switzerland1
College of Mechanical and Electrical, Changzhou Textile Garment Institute, Changzhou, China1
Institute of Control and Computation Engineering, Warsaw, Poland1
Industrial Research Institute for Automation and Measurements, Warsaw, Poland1
School of Control Science and Engineering DUT, Dalian, China1
Department of Computer Science, Fuzhou Polytechnic, Fuzhou, China1
Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China1
College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China1
Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC1
CSIR-CEERI, Pilani, India1
CEDAR, Buffalo, USA1
Indian Institute of Information Technology, Chittoor, India1
Dept. of Comp. Sci. and Inf. Eng, National United University, Miaoli, Taiwan1
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-1816. alexander.loui@kodak.com1
The Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznan, Poland1
Department of Information Technology, Poznań University of Economics and Business, Poznan, Poland1
Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA1
Psychology Department, University of California, Santa Barbara, CA 93106 USA1
Computer Science and Information Engineering Department, National Taiwan Normal University, Taipei, Taiwan1
Dept. of computers and communications, Faculty Of Eng., Delta Univ. for Science and Technology, Gamasa City, Egypt1
Electrical-Electronics Engineering Department, Izmir University of Economics, Balcova, Turkey1
Electrical-Electronics Engineering Department, Firat University, Elazig, Turkey1
Mechatronics Engineering Department, Firat University, Elazig, Turkey1
Massachusetts Institute of Technology, CSAIL, Cambridge, Massachusetts1
Department of Electronics Engineering Pusan National University, Busan, Korea1
National Cheng Kung University, Tainan, Taiwan1
LaBRI, University of Bordeaux, Talence, France1
Computer Vision Laboratory (CVLab), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
Department of Computer Science, Solapur University, Solapur, India1
Networking Video Product BU, AverMedia Information, Inc Taipei, Taiwan1
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX1
College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China1
McGill University, School of Computer Science, Montréal, Canada1
Department of Electronics and Communication, NIT Calicut, Kerala, India1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, NY, USA1
Key Laboratory of Computing and Communication Software of Anhui Province, the School of Computer Science and Technology, and the School of Data Science, University of Science and Technology of China, Hefei, China1
Eskişehir Osmangazi Üniversitesi, Bilgisayar Mühendisliği Bölümü, Eskişehir, Türkiye1
Anadolu Üniversitesi, Elek., Elektronik Mühendisliği Bölümü, Eskişehir, Türkiye1
University of Western Australia, Perth, 6009, Australia1
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore1
Robrt Bosch Center for Cyber physical Systems of Indian, Institute of Science Bangalore1
Ramaiah Institute of Technology, Bangalore1
State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China1
School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China1
Key Laboratory of Intelligent Perception and Image Understanding, School of Artificial Intelligence, Ministry of Education, Xidian University, Xi’an, China1
Department of Applied Sciences, Ecole Normale Supérieure de Bujumbura, Bujumbura, Burundi1
Faculty of Computing, Information Systems, and Mathematics and also with the Digital Imaging Research Centre , Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames , U.K.1
National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore1
National University of Singapore & National University of Defense Technology, Singapore, Singapore1
INESC TEC, Porto, Portugal1
Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India1
University of Manouba, Republic of Tunisia1
University of South Wales, UK1
Lawrence Berkeley National Laboratory1
School of Computer Science, University of Lincoln, Lincoln, UK1
Khalifa University, Abu Dhabi, United Arab Emirates1
University of Bristol, Bristol, UK1
Sookmyung Women’s University, Seoul, Republic of Korea1
National Institute of Technology, Durgapur, India1
Indian Institute of Technology, Bhubaneswar, India1
Haldia Institute of Technology, Haldia, India1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece E-mail: dralbert@zeus.csd.auth.gr1
Department of Human Robot interaction Research Section, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea1
University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon, Korea1
Univ. La Rochelle, La Rochelle, France1
The Second Hospital of Nanjing, Nanjing, China1
University of Applied Sciences Berlin (HTW), Berlin, Germany1
College of Science and Mathematics, California State University, San Marcos, CA, USA1
Advanced Technology Labs, Adobe, San Jose1
Indiana University, Bloomington, Bloomington, IN, USA1
Indiana University Bloomington, Bloomington, USA1
Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
School of Computer Science and Engineering, South China University of Technology, Panyu District, Guangzhou City, China1
University of Nottingham, United Kingdom1
Shenzhen University, China1
University of Pittsburgh, Department of Psychiatry, 3811 O’Hara St., WPIC—Loeffler 319, Pittsburgh, PA 15213, United States1
Antal Bejczy Center for Intelligent Robotics Óbuda University1
School of Computing, Media and the Arts, Teesside University, Middlesbrough, UK1
IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK1
Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan1
Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia1
Video Surveillance Laboratory, Guizhou University for Nationalities, Guiyang, China1
College of Arts and Sciences, Shanxi Agricultural University, Shanxi, China1
CAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan, China1
Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA1
Centre for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia1
Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia1
Reference Centre on Interactive Television, Aragon Institute of Technology, Spain1
Hefei University of Technology, Hefei Shi, China1
National University of Singapore, Singapore, China1
Electrical department, Azad University of Takestan, Takestan, Iran1
Computer department, Raja University of Qazvin, Qazvin, Iran1
Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran1
Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy1
Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan1
Faculty of Philosophy, Languages and Literature, and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil1
School of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil1
Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France1
Guangxi Normal University, Guilin, China1
Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. pjimenez@depeca.uah.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. jnuevo@depeca.uah.es1
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain. josemiguel.buenaposada@urjc.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. bergasa@depeca.uah.es1
School of Computer Science, Shaanxi Normal University, Xi’an, China1
Engineering Laboratory of Teaching Information Technology of Shaanxi Province, Xi’an, China1
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China1
Research Center for Brain-Inspired Intelligence, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Centre for Artificial Intelligence, School of Software, University of Technology Sydney, Ultimo, NSW, Australia1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Rutgers University, 94 Brett Road, Piscataway, NJ 08854, United States of America1
Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-85111
Kurume National College of Technology, Fukuoka, Japan 835-85551
Faculty of Information Technology, Thai-Nichi Institute of Technology, Bangkok, Thailand 102501
Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan1
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan1
Yunnan University, Kunming, Yunnan, China and Chuxiong Normal University, Chuxiong, Yunnan, China1
Institutes of Innovation for Future Society, Nagoya University, Japan1
Information Strategy Office, Nagoya University, Japan1
Idiap Research Institute, Martigny, Ecole Polytechnique Fédérale de Lausanne, Switzerland1
Department of Ankara Digital Forensic Ankara, Forensic Medicine Institution, Ankara, Turkey1
Department of Computer Engineering, Faculty of Engineering, Kocaeli University1
The University of Manchester, Manchester, Lancashire, United Kingdom1
MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia1
MIRACL-Faculty of Economics and Management, Sfax University, Sfax, Tunisia1
Center for Quantum Computation and Intelligent System, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, China1
College of Communication Engineering, Chongqing University, 400044, China1
NUDT, College of Computer, Changsha, 410073, China1
Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand1
Department of Computer Engineering, Qazvin Islamic Azad University , Qazvin, Iran1
Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA1
Faculty of Electrical Engineering and Information Technology, Technische Universität München, 85290, Germany1
Nokia Research, Palo Alto, CA1
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University, West Lafayette, IN, 47907, USA1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
School of Mathematics, Jilin University, China1
Department of Computer Science, Memorial University of Newfoundland, Canada1
Vision Semantics Ltd1
Griffith University, Brisbane1
Griffith University, Brisbane and University of the South Pacific, Fiji1
WILLOW Team-ENS/INRIA/ENPC, Département d'Informatique, Ecole Normale Supérieure, Paris, France; Computer Science Department, Beckman Institute, University of Illinois, Urbana-Champaign, USA1
LEAR Team, INRIA, Montbonnot, France1
Computer Science Department, Beckman Institute, University of Illinois, Urbana-Champaign, USA; WILLOW Team-ENS/INRIA/ENPC, Département d'Informatique, Ecole Normale Supérieure, Paris, France1
State Grid Zhangjiakou, Power Supply Company, Zhang Jiakou, China 0750001
State Grid Shanxi Electric Power Company, Taiyuan, China 0300011
State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China 1001901
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA1
State University of New York at Buffalo1
Vocational School of Teachers and Technology, Jiangxi Agricultural University, Nanchang, China1
School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China1
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China1
Dept. of Electrical Engineering & Computer Science, Ningbo University, Ningbo, P. R. China1
Intel Israel, Haifa, Israel1
Microsoft Corporation, Redmond, WA1
Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.1
Electrical & Computer Engineering, Kettering University, Flint, Michigan, U.S.A.1
Department of Electrical and Computer Engineering, Curtin University, Miri Sarawak, Malaysia1
Information Security Group, City University London, London, UK1
Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia1
Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia1
School of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China1
IIIT Chittoor, SriCity, Andhra Pradesh, India1
Emory University1
Elon University1
University of Ontario Institute of Technology1
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA1
Ecole Centrale Paris & INRIA Saclay, France1
School of Information Engineering, Tianjin University of Commerce, Tianjin, China1
JD.com, Beijng, China1
State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China1
College Of Medicine Pediatrics, University of South Florida, Tampa, 33620, United States of America1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
School of Mechanical Engineering and Automation, Beihang university, Beijing 100191, China1
Laboratoire d’Imagerie, de Vision, et d’Intelligence Artificielle, École de Technologie Supérieure, Université du Québec, Montreal, Canada1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
Department of Electrical and Electronic Engineering, Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
School of Computer Science, Carnegie Mellon University (USA)1
ARM, Inc., San Jose, CA1
UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France1
Department of Electrical-Electronics Engineering, Boğaziçi University, Istanbul, Turkey1
INRIA - WILLOW Project1
Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Korean Language Education, Incheon National University, Incheon, South Korea1
School of Electrical Engineering and Information, University of Sichuan, Chengdu, China1
College of Computer and Information Science, Northeastern University, Boston, MA, USA1
College of Computer Science, Sichuan Normal University, Sichuan, China1
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China1
CIDIS - FIEC, Escuela Superior Politecnica del Litoral. Guayaquil, Ecuador1
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 48128, USA1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia1
ARCAA, Queensland University of Technology, Brisbane, Australia1
Department of Computer Engineering, Taif University, Taif, KSA1
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Oh, USA1
Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA1
Dept. Physics, Montana State University, Bozeman, MT 59717, USA1
NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico1
Interdisciplinary Graduate School, Rapid-Rich Object Search Laboratory, Nanyang Technological University, Singapore1
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Department of Electrical and Computer Engineering, Wayne State University, Detroit, USA1
Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan1
Statistics, Colorado State University, Fort Collins, USA1
Information Access Division, NIST, Gaithersburg, MD, USA1
Department of Federal Police - Brasilia - Brazil1
School of Computer Science and Engineering, Beihang University, 100191, Beijing, China1
Department of Computer Science, Texas State University, San Marcos, TX1
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China1
Industry Centre, Shenzhen polytechnic, Shenzhen, China1
School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Department of Electrical and Computer Engineering, Brunel University London, UB8 3PH, UK1
Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain1
Motorola Human Interface Labs, Tempe, Arizona 85284, USA1
GRAM, University of Alcalá, Alcalá de Henares, Spain1
University of Tokyo, Meguro-ku, Tokyo, Japan1
Macau University of Science and Technology, Macau SAR1
Aalesund University College, Norway1
Oregon State University, Corvallis, Oregon, United States1
Guizhou Radio Film and Television School, Guizhou, P. R. China1
Texas A & M University at Qatar, Doha, Qatar1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: komatsu@kom.comm.waseda.ac.jp1
NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: ichino@kom.comm.waseda.ac.jp1
Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba1
Key Laboratory of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Tencent1
Dalian Maritime University, Dalian, China1
Nanocomputing Research Lab, Rochester Institute of Technology, Rochester, NY, USA1
Bioinspired Microelectronics Systems Lab, School of Engineering, Nazarbayev University, Astana, Akmola, Kazakhstan1
Department of Electrical Engineering, IIT, Roorkee, India1
Electrical and Information Engineering, University of Sydney, Sydney, 2006 New South Wales, Australia1
Air Force Research Lab, Rome, NY, 13441, USA1
Measurement, Control and Mircotechnology , University of Ulm, Ulm, 89075 Germany, Germany1
Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany1
Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany1
Department of Electronic Engineering, Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China1
University of Petroleum and Energy Studies, Dehradun, India1
The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, China1
Institut Telecom, Telecom Paris, LTCI, France1
ITeam, Universitat Politècnica de València, Valencia, Spain1
Microsoft Research Asia, Beijing, 100080, P. R. China1
The University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand1
Private Practice, Auckland, New Zealand1
Formerly Repatriation General Hospital Concord, Sydney, Australia1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy1
CONICET, SINC(i)-FICH-UNL, Ciudad Universitaria, Santa Fe, Argentina1
CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina1
Department of Computer Engineering, Eastern Mediterranean University, Gazimağusa, Northern Cyprus1
ICSI, UC Berkeley1
Univ. of La Rochelle, Faculty of Eng.1
Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
Department of Electrical Engineering, Yazd University, Iran1
Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan1
University Blaise Pascal, Aubière, France1
School of Media and Communication, University of Leeds, Leeds, UK1
Center for Behavior Imaging, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA1
iRobot Corporation, Bedford, MA, USA1
Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan1
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
Department of Fundamental Science and Technology, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
University of the Basque Country, UPV, EHU, San Sebastian, Spain1
Institute for Neural Computation University of California, San Diego1
Max Planck Institute for Intelligent Systems in Tübingen, Germany1
Rapid-Rich Object Search Laboratory, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jhkim@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jychoi@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. myjeong@yonsei.ac.kr1
Science and Technology on Electro-optic Control Laboratory, Luoyang,471009,China1
Faculty of Engineering, Tunku Abdul Rahman University College, Setapak, Malaysia1
Faculty of Computing and Information Technology, Setapak, Malaysia1
University of Brunei Darussalam, Faculty of Science, Brunei Darussalam1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland1
Department of Computer Science, Kuwait University, Safat, Kuwait1
IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France1
Laboratory of LGEB, University of Biskra, Biskra, Algeria1
Laboratory of LESIA, University of Biskra, Biskra, Algeria1
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan1
Xi'an University of Science and Technology, Xi'an, China1
Xi'an Polytechnic University, Xi'an, China1
College of Information Engineering, Dalian Ocean University, Liaoning, P. R. China1
Department of Elec. Comm. & Software Engineering, Sun Yat-Sen University, Shanghai, P. R. China1
School of Compute Science & Technology, Soochow University, Suzhou, P. R. China1
School of Information Science & Technology, Donghua University, Shanghai, P. R. China1
Bahirdar Institute of Technology, Bahir Dar, Ethiopia1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-3800071
Centre for Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK1
Computer Science Department, University of Maryland, College Park, MD, USA1
Cernium Corporation, Reston, VA, USA1
Computer Science Department, University of California, Los Angeles, CA, USA1
Southwest Research Institute, San Antonio, USA1
Department of Information Engineering, University of Padova, Padova, Italy1
School of Information Technology, Deakin University, Burwood, Australia1
Dep. Inteligencia Artificial, U. Politécnica Madrid, Spain1
Dep. Ciencias de la Computación, U. Rey Juan Carlos, Spain1
Dep. Comp. Sci. and Engr., Fudan University, China1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. jjeong@ece.hanyang.ac.kr, windcap315@ece.hanyang.ac.kr1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. windcap315@ece.hanyang.ac.kr1
Department of Information Technology, University of Milan, Italy. Damiani@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Bellandi@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Anisetti@dti.unimi.it1
IBM Thomas J. Watson Research Center, United States1
Lawrence Livermore National Laboratory, United States1
Singapore Bioimaging Consortium, A*STAR, Singapore, Singapore1
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China1
Department of Electronic and Electrical Engineering, University of Sheffield, S1 3JD, UK1
School of Electronics, Electrical and Computer Engineering, University of Birmingham, B15 2TT, UK1
MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
QUVA Lab, Qualcomm Research, University of Amsterdam, Amsterdam, WX, The Netherlands1
University of Amsterdam, Amsterdam, WX, The Netherlands1
QUVA Lab, University of Amsterdam, Amsterdam, WX, The Netherlands1
Centre de Developpement des Technologies Avancees, Algeria1
Center For Machine Vision and Signal Analysis, University of Oulu, Finland1
Department of Information Science and Technology, Northwest University, Xi'an, China1
School of Computer Science and Electronic Engineering, University of Essex, United Kingdom1
Concordia University, Montreal, H3G 1M8, Canada1
Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China1
Changshu Institute of Science and Technology, China, Soochow University, China, and Beijing Jiaotong University, Beijing, China1
Soochow University, China, Jilin University, China, and Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China1
Soochow University, China and Suzhou Institute of Trade and Commerce, Suzhou, China1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain1
Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore1
Laboratory of Media Audio & Video, Communication University of China, Beijing, China1
Department of Computer Engineering, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia1
School of Electro-Mechanical Engineering, Xidian University, Xi’an, China1
School of Electrical Engineering, Yanshan University, Qinhuangdao, China1
Center for Intelligent Machines, McGill University, Montreal, Canada1
Leeds Beckett University, West Yorkshire, United Kingdom1
Keele University, Staffordshire, United Kingdom1
Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, China1
Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China1
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People’s Republic of China1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
FSU, Tallahassee, Tallahassee, FL, USA1
LIFL University of Lille 1, Lille, France1
Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany1
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye1
Department of Electrical Engineering & Computer Sciences, UC Berkeley1
Insititute of Information Science, Academia Sinica, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
Data and Knowledge Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China1
FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic1
Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia1
Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt1
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Dept of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Quebec, Canada1
Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K.1
Faculty of Computer Science, Bishop's University, Sherbrooke, Québec, Canada1
Key Laboratory of Intelligent Information Processing, Shandong Normal University, Jinan, China1
School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China1
School of Computer Science, Chongqing University, Chongqing, China1
Institute of Life Sciences, Shandong Normal University, Jinan, China1
Research Institute for Future Media Computing, Shenzhen University, Shenzhen, China1
University of Trento, Povo - Trento, Italy1
Czech Technical University, Prague 2, Czech Republic1
RWTH Aachen, Aachen, Germany1
Software College, Northeastern University, Shenyang 110819, China1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan1
Kyoto University of Foreign Studies, Japan1
School of Electrical and Information Engineering, University of Sydney, Sydney, Australia1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore1
Departments of Neurosurgery, Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, USA1
School of Aerospace Science and Technology, Xidian University, Xi’an, China1
School of Information Science and Technology, Fudan University, Shanghai, China1
Jingdezhen Ceramic Institute, Jingdezhen, China1
Facial Nerve Center, University Hospital Jena, Jena, Germany1
Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany1
Department of Computer Science, Friedrich Schiller University, Jena, Germany1
University of Hawaii at Hilo, Hilo, HI1
Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA1
University of Tehran, Department of Management and Accounting, University of Tehran, Tehran, Iran1
Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran1
Mechanical Engineering Department, College of Engineering, Qatar University, Doha, Qatar1
Mechanical Engineering Department, College of Engineering, Qatar University, Doha, Qatar. Tel : +974-485-2112; E-mail: malatif@qu.edu.qa1
University of Massachusetts, Dartmouth, MA, USA1
Northeastern University, Salisbury, MA, USA1
Statistics, University of California, Los Angeles, USA1
Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany1
Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 5180011
KLA-Tencor Software India Private Limited, Chennai, India 6000961
Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne1
Technicolor, IRISA, University of Rennes 1, Rennes, France1
Department of Electrical and Electronic Engineering, University of Imperial College, London, UK1
VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain1
USC School of Cinematic Arts1
Computer Engineering Department, Yildiz Technical University, Istanbul, TR1
Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR1
Computer Engineering Department, Istanbul Bilgi University, Dolapdere, TR1
National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, China1
Hefei TV Station1
Dept. of Marine Engineering, Tokyo University of Marine Science and Technology, Japan1
LITIS, Université de Rouen, Rouen, France1
Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, People’s Republic of China1
Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs1
Department of Computer Science, George Mason University, Fairfax, VA1
Department of Medicine, University of Massachusetts Medical School, Worcester, MA1
Department of Photogrammetry and Remote Sensing, K.N. Toosi University of Technology, Tehran, Iran1
Tianjin Sharpnow Technology Co. Ltd., China1
Electrical Engineering Department, COMSATS Institute of Information Technology, Islamabad, Pakistan1
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore1
Department of Information and Communication Technology, F. M. University, Balasore, India1
School of Computer Engineering, KIIT University, Bhubaneswar, India1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Library of Xuchang University, Xuchang University, 461000, Henan, China1
Information Engineering College, Central University for Nationalities, Beijing, 100081, China1
Hanyang University, Seoul, Rebublic of Korea1
The University of Western Australia, Crawley, Australia1
Curtin University, Perth, Australia1
Dept. of Computer Science, Hong Kong Baptist University, Hong Kong1
ELVEES NeoTek, JSC, Zelenograd, Russia1
Research and Development Center «ELVEES», Zelenograd, Russia1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia1
Beijing Etrol Technologies Co., Ltd., Beijing, China1
MOEKLINNS Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany1
SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA1
Department of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL1
Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia1
Computer Science Dept., Stevens Institute of Technology, Hoboken, NJ 070301
University of the Basque Country (UPV/EHU), Leioa, Spain1
Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain1
Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany1
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Signal Theory Department, Polytechnic School, University of Madrid, Spain1
Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain1
Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA1
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia1
Machine Vision Group, Dept. of Electrical and Information Engineering, University of Oulu, Oulu, Finland1
Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland1
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA1
Mellon College of Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Intelligent Technology and Robotics Research Center, Beihang University, Beijing, China1
University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
College of Computer Science, Inner Mongolia University, Inner Mongolia, China1
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore1
Institute of Automation Center for Biometrics and Security Resea, Chinese Academy of Sciences, Beijing, China1
University of Southampton, United Kingdom1
Faculty of Electronics and Telecommunications “POLITEHNICA” University from Timişoara Timişoara, România1
University of Surrey Guildford, UK1
Institute of Education, Xiamen University, Xiamen Shi, China1
College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China1
Department of Physics and Technology, University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway1
School of Communication and Design, Sun Yat-sen University, Guangzhou, China1
National Engineering Research Center of Digital Life, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: ysmoon@cse.cuhk.edu.hk1
Member, IEEE, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: jschen@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: kwcheung@cse.cuhk.edu.hk1
King Saud University, Riyadh, Saudi Arabia1
School of Automation, Wuhan University of Technology, Wuhan, China and National Laboratory of Pattern Recognition, CASIA, Beijing, China1
The Graduate Center, City University of New York, New York, NY, USA1
Pattern Recognition and Multi-modal brain imaging, University of Electronic Science and Technology of China, Chengdu, China1
Akita University, Akita, Japan1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan1
National Institute of Technology Goa, Ponda, India1
VIGpro Laboratory, The University of Kitakyushu, Japan1
Computer Science and Engineering, Wuhan University of Technology, China1
Electrical and Computer Engineering, Mississippi State University, USA1
University of Notre Dame, Notre Dame, IN1
Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden1
Information Strategy Office, Nagoya University, Nagoya, Aichi, Japan1
Institutes of Innovation for Future Society (MIRAI), Nagoya University, Nagoya, Aichi, Japan1
Gwangju Institute of Science and Technology, Buk-gu, South Korea1
Biometrics Research Center, The Hong Kong Polytechnic University, Hong Kong1
Ohio State University1
Georgia Institute of Technology, Center for Behavioral Imaging and College of Computing, Atlanta, GA, USA1
Georgia Institute of Technology, Center for Behavioral Imaging and School of Electrical and Computer Engineering, Atlanta, GA, USA1
University of Regina, Regina, Canada1
Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan1
The Hebrew University1
Academic College of Tel-Aviv-Yaffo1
University of KwaZulu-Natal, School of Maths, Statistics & Computer Science, Durban - South Africa1
Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan1
College of Communication Engineering, Jilin University, Changchun, P.R. China1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-9011
University of British Columbia1
Bundesdruckerei GmbH, Berlin, Germany1
Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany1
EMMi - Entertainment and Media Management Lab., Department of Business Information Management and Logistics, Tampere University of Technology (TUT), Tampere, Finland1
Queensland University of Technolgy, Australia1
Division of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
IT Convergence Research Center, Chonbuk National University, Jeonju, South Korea1
Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea1
Department of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
Technical University of Eindhoven, Eindhoven, Netherlands1
School of Engineering of UABC, University of Baja California, Tijuana, Mexico1
Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China1
National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan1
Hong Kong Baptist University, China, Hongkong, China1
Huazhong University of Science of Technology, China, Wuhan, China1
School of Software, Shenyang University of Technology, Shenyang, China1
Chongqing Vocational Institute of Engineering, Chongqing, China1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Microsoft Bing, Sunnyvale1
University of Science and Technology of China, China1
Institute for Digital Media, Peking University, Beijing, China1
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, People’s Republic of China1
Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia1
Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia1
Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain1
Makkah Technology Valley, Saudi Arabia1
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C.1
School of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea1
Department of Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan1
Department of Internal Medicine, Chung-Ang University, Seoul, South Korea1
Department of Data Science, Dankook University, Yongin, South Korea1
The University of Haifa, Haifa, Israel1
University of Haifa, Haifa, Israel1
Pontificia Universidad Católica de Chile1
Department of Psychology, Pennsylvania State University, University Park, PA, USA1
Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece1
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands1
Ruhr-Universität Bochum, Bochum, Germany1
National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University, Shenzhen, China1
Department of Computer Engineering, College of Applied Computer Science, King Saud University, Riyadh, Saudi Arabia1
Sapienza Università di Roma, via Salaria 113, 00198, Italy1
Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
School of Information Science and Engineering, Yunnan University, Kunming, China 6500001
HIK VISION, Hangzhou, China 3100271
College of Computer Science, Hangdian University, Hangzhou, China 3100271
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain1
Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia1
School of Mathematics Science, Liaocheng University, Liaocheng, China1
Industrial Technology Research Institute, Hsinchu, Taiwan1
Garmin Corporation, New Taipei, Taiwan1
Department of Neurosurgery, Rennes University Hospital, Rennes, France1
Faculty of Electrical & Electronics Engineering, Shijiazhuang Vocational Technology Institute, 050081, China1
Victoria University of Technology, Australia1
MIT Media Laboratory, Cambridge, MA, USA1
Department of Computer and Communication Engineering, National Kaoshiung First University of Science and Technology, Taiwan, ROC1
Keio University, Fujisawa Kanagawa, Japan1
Oregon State University, Corvallis, Oregon1
Advanced Engineering Department, DELPHI Automotive1
School of Engineering Science, University of Science and Technology of China, Hefei, China1
Department of Electrical and Computer Engineering, and the Center for Automation Research, UMIACS , University of Maryland, College Park, MD, USA1
Department of Electrical and Computer Engineering, and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA1
University of Warwick, Coventry, United Kingdom1
Department of Computer Science, University College London, London, United Kingdom1
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy1
University of California, David, USA1
University of Pennsylvania, Philadelphia, USA1
Visvesvaraya National Institute of Technology, Nagpur, India1
Toyohashi University of Technology, Toyohashi, Japan1
Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France1
Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France1
TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy1
Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, NJ, USA1
Bell Laboratories Research, Murray Hill, NJ, USA1
SCSE, VIT University (Chennai Campus), Chennai, India1
Rajalakshmi Engineering college and Research Scholar, VIT university1
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway1
Institute of Psychology, Heidelberg University, Heidelberg, Germany1
The Commonwealth Scientific and Industrial Research Organisation, Australia1
Center of Research and Development, SenseNets Corporation, Shenzhen, China1
Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong, China1
Kamaraj College Thoothukudi, Tamil Nadu, India1
Sathyabama University, Jeppiar Nagar, Chennai, Tamil Nadu, India1
School of Computer Science and Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China1
Microsoft Research, One Microsoft Way, Redmond, WA1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
ECE, University of Missouri, Snapchat, Columbia, United States1
School of Electronic Engineering and Computer Science, Peking University, Beijing, P. R. China1
Department of Mathematics, Eastern University, Sri Lanka1
Department of Informatics, King’s College London, Strand, London, UK1
Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France1
UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China1
School of Communication Engineering, Nanjing Institute of Technology, Nanjing, People’s Republic of China1
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, People’s Republic of China1
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China1
Department of Computing, Biometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong1
Automotive IT Platform Research Team, ETRI, Daegu, South Korea1
Department of Computer Engineering, SunMoon University, Asan, South Korea1
University of Bremen1
Industrial Automation Research Laboratory, Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong1
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China1
DeePhi1
Stanford University and DeePhi1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Ontario, M5S 3GA, Canada1
Howard T. Odum Center for Wetlands, University of Florida, Gainesville, USA1
Ecosurv Environmental Consultants, Maun, Botswana1
Climate Systems Analysis Group, University of Cape Town, Rondebosch, South Africa1
University of Botswana Okavango Research Institute, Maun, Botswana1
Department of CSE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Department of ECE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Department of Biology, California State University Northridge1
Institute of Statistics Science, Huazhong Agricultural University, Wuhan, China1
College of Science, Huazhong Agricultural University, Wuhan, China1
Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt1
priv-ID, Eindhoven, The Netherlands1
University of Twente, AE Enschede, The Netherlands R.N.J.Veldhuis@utwente.nl1
University of Texas, Texas, USA1
Universitat de Barcelona & Computer Vision Center, Barcelona, Spain1
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain1
Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain1
University of Barcelona & Computer Vision Center, Barcelona, Spain1
Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany1
College of Computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Computer Science, SUNY Stony Brook, Stony Brook, United States1
Rutgers University, USA1
Vision Semantics Ltd, UK1
UMass Lowell-MA, USA1
Daimler A.G, Boeblingen, Germany1
Auckland University of Technology, Auckland, New Zealand1
Department of Computer Science, Periyar University, Salem, India1
Department of Computer Science, Pontificia Universidad Catolica de Chile1
CNRS and LIAMA Sino French Laboratory, Beijing, China1
Department of Electronic Engineering, National Taipei University of Technology, Taiwan1
Mitsubishi Electr. Res. Lab., Cambridge, MA, USA1
Oakland University, Rochester, MI1
Brunel University, UK1
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China1
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China1
Postdoc Center of Information and Communication Engineering, Xiamen University, China1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia1
School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia1
Electrical and Computer Engineering, University of Texas, Austin, Texas 78712-1084 United States1
Electrical and Computer Engineering, University of Texas-Austin, Austin, Texas United States1
Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Department of Computer Science, University of Loughborogh1
Department of Electrical Engineering and Electronics, University of Liverpool1
Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand1
Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye1
Renai College of Tianjin University, Tianjin, China1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
Electrical Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Chiang Mai, Thailand1
Computer Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Chiang Mai, Thailand1
Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand1
College of Computer and Information Science, Northeastern University, Boston, USA1
Chung-Shan Institute of Science and Technology, Taoyuan 325, Taiwan1
Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, ROC1
Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands1
The Pennsylvania State University1
Disney Research1
National Institute of Advanced Industrial Science Technology, Japan1
Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada1
College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang1
Industrial Technology Research Institute, China1
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O.Box 823, SE-301 18, Halmstad, Sweden1
TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico1
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico1
TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico1
Chiba Institute of Technology, Japan1
School of Information Science and Technology, Shandong Normal University, Jinan, China1
Mechatronics Group, University of Auckland, Auckland, New Zealand1
Visual Information Technologies, Jacobs University Bremen, Bremen, Germany1
School of Engineering, Auckland University of Technology, Auckland, New Zealand1
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong1
Biometrics Research Center, The Hong Kong Polytechnic University, Hung Hom, Hong Kong1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China1
ESTIA, Bidart, France1
Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, North Cyprus1
Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus1
Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina1
Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil1
Department of Electrical Engineering, KAIST, Daejeon, 307-701, Korea1
Robotics and Computer Vision Laboratory, Department of Electrical Engineering, KAIST, Daejeon, 305-701, Korea1
Robotics and Computer Vision Laboratory, Division of Future Vehicle, KAIST, Daejeon, 305-701, Korea1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr1
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea1
Dept. of E.C.E, CE, JNTUH, INDIA1
Dept. of E.C.E, UCE, KU, INDIA1
CS Dept., UFMG, Brazil1
Argonne National Laboratory, USA1
Stony Brook University, USA1
KAUST Visualizatioin Core Lab., Thurwal, Saudi Arabia1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria1
Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA1
Department of Computer Science, University of California at Irvine, Irvine1
Department of Computer Science, University of Nevada, Reno, USA1
Laboratoire Jean Kuntzmann, Grenoble, France1
Electrical and Electronics Engineering Department, Eskisehir Osmangazi University, Eskisehir, Turkey1
Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia1
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park1
Center for Automation Research, UMIACS, University of Maryland, College Park1
Digital Signal Corporation1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado1
Department of ECE, PES University, Bengaluru-560085, India1
Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates1
Pasadena, USA1
Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia1
UTM-Big Data Center, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Ryerson Multimedia Research Laboratory, Ryerson University, Canada1
School of Computer, Beijing Information Science and Technology University, Beijing, China1
The Experimental Teaching Center of Electronics information and Control, School of Automation, Beijing Information Science and Technology University, Beijing, China1
Chinese Academy of Sciences, Xi'an, Shaanxi, P.R. China1
OpenLab, School of Computing Science, The University of Newcastle, Newcastle upon Tune, United Kingdom1
Hochschule Darmstadt, CASED and Fraunhofer Institute for Computer Graphics (IGD), Germany1
Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, 021151
College of Computer & Information Sciences, Northeastern University, Boston, MA, 021151
Research, MVTec Software GmbH, Munich, Germany1
Faculty of Informatics, Technical University of Munich, Munich, Germany1
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong1
Department of Mathematics, University of Houston, Houston, TX 77204, USA1
Surf Sara BV, Science Park 140, Amsterdam, The Netherlands1
Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand1
Institute for Information and System Sciences, Science and Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China1
School of Information Science and Technology, Yunnan Normal University Kunming, 650092, China1
UC Berkeley / ICSI, Berkeley, CA., USA1
Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway1
University of St Andrews, St Andrews, United Kingdom1
Samsung Electronics1
University of North Carolina at Charlotte, USA1
Xidian University, China1
Key Lab. of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, China1
School of Economics and Management, University of Chinese Academy Sciences, Beijing, China1
Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing, China1
Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China1
Sun Yat-sen University, Guanghou, China1
Forensics and Security Lab, Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore1
Robotic Center, Mines ParisTech, 75272, France1
Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea1
Honda R&D Co., Ltd, Wako, Japan1
Department of Intelligent Multimedia, ISIR of Osaka University, Osaka, Japan1
The State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China1
West Virginia University, Morgantown, WV1
Ajou Univ.1
Nokia Bell-Labs, Madrid, Spain1
HCL Technologies Ltd. Chennai, Tamilnadu1
Department of Electronics Engineering, Pusan National University, Busan, Korea1
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Texas State University, San Marcos, TX, USA1
University of Oxford & University of Trento, Oxford, United Kingdom1
École Polytechnique Fédérale de Lausanne & University of Trento, Lausanne, Switzerland1
Aerosp Mech & Manuf Eng, RMIT University, Melbourne, Vic, Australia1
School of Computer Science, University of Birmingham, Birmingham, United Kingdom1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China; Institute of Computing Technology, CAS, 100080, China. wgao@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. clwang@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. xlchen@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China. wangqi@jdl.ac.cn1
University of California, Santa Barbara, GOLETA, CA, USA1
Leibniz Universität Hannover & German National Library of Science & Technology (TIB), Hannover, Germany1
University of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, People’s Republic of China1
The University of Texas at Austin, Austin, USA1
Faculty of Engineering, Computer Engineering Department, Akdeniz University, Dumlupinar Bulvari, Turkey1
IRCICA, Parc Scientifique de la Haute Borne, Lille 1 University, Villeneuve d’Ascq, France1
School of Computer Science, University of Adelaide, Adelaide, Australia1
Department of Computer Science, University of Bath, Bath, UK1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
Department of Electrical and Computer Engineering, National University of Singapore1
School of Software, Beijing Institute of Technology, China1
School of Electronics Engineering and Computer Science, Peking University, Peking, China1
School of Information Science Meisei University, Tokyo, Japan1
University of Ulm, Universität Ulm, Ulm, Germany1
College of Computer Science, Chongqing University, 400030, China1
College of software, Chongqing University of Posts and Telecommunications, 400065, China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China and Department of Mathematics, Menoufia University, Egypt1
University of California, Santa Barbara, CA1
Computer Science Dept., Columbia University, USA1
Computer Science Dept., SUNY Stony Brook, USA1
The Graduate University for Advanced Studies (Sokendai), Japan1
Psychological Research and Consulting Center, Southwest Jiaotong University, Chengdu, China1
WesTest Engineering Corp., Farmington, Utah1
GMATEK, Inc., Annapolis, Maryland1
Rensselaer Polytechnic Institute1
Robotics and Computer Vision Lab, KAIST, Korea1
LITIS EA 4108, University of Rouen, France1
ICube UMR 7357, CNRS, University of Strasbourg, France1
Department of Electrical and Computer Engineering, Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, 21589, Saudi Arabia1
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China1
Computer Vision Team, ARS Traffic & Transport Technology, Trivandrum, India1
Department of Mechatronics Engineering, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia1
Dalian University of Technology, Liaoning Province1
Purdue University, West Lafayette, IN1
Intel Corporation, Santa Clara, CA1
SICK AG, Hamburg, Germany1
College of Automation, Shenyang Aerospace University, Shenyang, China1
ENSTA ParisTech, UIIS Lab, Blvd des Marechaux 128, 91762 Palaiseau, France1
University of Applied Sciences Fulda, Department of Applied Computer Science, Leipzigerstr. 123, 36036 Fulda, Germany1
Ajou University1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA1
College of Information and Control Engineering, China University of Petroleum Qingdao, 266580, China1
Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA1
Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany1
Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore1
IRDA Group, ADMIR Laboratory, Rabat IT Center, ENSIAS, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
LRIT, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark , NJ, USA1
Microsoft Research , Redmond, WA, USA1
Microsoft Visual Perception Laboratory, Zhejiang University, Hangzhou, China1
DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India1
Department of IT, UIT RGPV, BHOPAL, India1
Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Korea1
Department of Information Technology, Hansei University, Kyonggi, Korea1
School of Mechanical Engineering, Pusan National University, Pusan, Korea1
Department of Automotive Engineering, Seoul National University of Technology, Seoul, Korea1
Chemical, Managerial, Computer and Mechanics Engineering Department, DICGIM, University of Palermo, Italy1
Coll. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China1
School of Software, Sun Yat-Sen University, Guangzhou, China1
Graduate University of the Chinese Academy of Sciences, Beijing, China1
Computer Vision Center, Barcelona1
Department of Biological Sciences, University of Alberta1
School of Mathematical Sciences, Monash University, Melbourne , Australia1
JiangSu University of Science and Technogly, Zhenjiang, China1
School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China1
Al-Kindi Cryptography Research Laboratory, Institute for Mathematical Research, Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, Malaysia1
Queen’s University, Kingston, Canada1
OMRON Social Solutions Co., LTD, Kyoto 619-0283, Japan1
University of Oulu & Southeast University, Oulu, Finland1
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
Heilongjiang Bayi Agricultural University, Heilongjiang, China1
University of Portsmouth, Portsmouth, UK1
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China1
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel1
Department of Mathematics, Wayne State University, Detroit, MI, USA1
Department of Computer Science, Illinois Institute of Technology, Chicago, U.S.A.1
LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France1
Laboratory of LAGE, University of Ouargla, Algeria1
Artificial Intelligence Key Laboratory, of Sichuan Province, Zigong, Sichuan, 643000, P. R. China1
School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China1
University of California Irvine, Irvine1
COMSATS Institute of Information Technology, Lahore, Pakistan1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA1
Media Research Department, Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan1
Department of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom1
Department of Electrical Engineering, University of Souk-Ahras, Souk-Ahras, Algeria1
IDI, Norwegian University of Science and Technology (NTNU), Trondheim, Norway1
Santa Clara University, Santa Clara, USA1
Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic1
Department of Electrical and Computer Engineering, Duke University, NC, USA1
Department of Computer Science, Prince Sultan University, Riyadh, Saudi Arabia1
School of Science, Jimei University, Xiamen, Fujian 361021, China1
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China1
Research Groups on Intelligent Machines, University of Sfax, Sfax, Tunisia1
Georgia Tech Institute for Robotics and Intelligent Machines, USA1
Faculty of Engineering, Washington University St. Louis, USA1
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Faculdade de Engenharia da Universidade do Porto (FEUP), Campus da FEUP, Porto, Portugal1
INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, Porto, Portugal1
Intel Corp., 4600 S. Dobson Road, Chandler, AZ 852481
Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 710119, Shaanxi, China1
School of Communication & Information Engineering, University of Electronic Science and Technology of China, Chengdu, China1
TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN1
E. U. P. Mataró, Avda. Puig Cadafalch 101, 08303 MATARO, SPAIN1
Key Laboratory of Road and Traffic Engineering, Ministry of Education, National Engineering Laboratory for Integrated Optimization of Road Traffic and Safety Analysis Technologies, Tongji University1
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea1
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan1
Electronics advanced development department, Toyota Motor Corporation, Toyota, 471-8571 Japan1
Osaka Institute of Technology, Osaka, 535-8585 Japan1
KU Leuven, ESAT PSI, iMinds, Leuven, Belgium1
General Electric Global Research, Niskayuna, NY, USA1
Temple University, Dept. of Electrical and Computer Engineering, Philadelphia, PA1
Rochester Institute of Technology, Dept. of Electrical and Microelectrical Engineering, Rochester, NY1
Universidad Nacional de San Agustín, Arequipa, Perú1
Computer Science Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil1
Universidad Católica San Pablo, Arequipa, Perú1
Institute of Information Science and Technologies, National Research Council, Pisa, Italy1
Institute of Structure of Matter, National Research Council, Rome, Italy1
General Motors Advanced Technical Center, Israel1
Department of Information Systems, University of Haifa, Israel1
Department of Computer Science, University of Haifa, Israel1
Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C.1
Beta Robots, Barcelona, Catalunya, Spain1
State Grid Inner Shizuishan Power Supply Company, Shizuishan, 753000, China1
School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China. luckzpz@seu.edu.cn1
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China. summer@seu.edu.cn1
Mimetic team, INRIA Rennes, Rennes, France1
University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany1
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea1
Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA1
Military Technical College, Cairo, Egypt1
School of Automation Science and Electrical Engineer, Beihang University, Beijing, China1
Chengdu Productivity Promotion Center, Chengdu 610000, China1
CSE, Park College of Engineering and Technology, Kaniyur, Coimbatore, Tamilnadu, India1
CSE, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India1
Department of Civil Engineering, University of Nottingham, Ningbo 315100, China1
Centre for Advanced Analysis, University College London, London, UK1
Department of Geographical Science, University of Nottingham, Ningbo 315100, China1
International Doctoral Innovation Centre, University of Nottingham, Ningbo 315100, China1
Innovative Information Industry Research Institute, Fujian Normal University, Fuzhou, 350300, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjing University), Fuzhou, 350121, China1
Department of Electrical Engineering, Federal University of Technology, Pato Branco, Paraná, Brazil1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Microsoft Research Asia, Beijing, China. fangwen@microsoft.com1
Microsoft Research Asia, Beijing, China. rxiao@microsoft.com1
The Chinese University of Hong Kong. wliu5@ie.cuhk.edu.hk1
Shanghai Jiaotong University, China. tydsh@sjtu.edu.cn1
Department of Computer Science, Harbin Institute of Technology, China, 1500011
Department of Computer Science, Kiel University, Germany1
Department of Computer Science & Software Eng., Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China1
University of Southern California, NVIDIA1
Computer Science and Engineering Department, IŞIK University, Şile, Turkey1
Pattern Recognition and Machine Intelligence Laboratory, IŞIK University, Şile, Turkey1
Department of Computer Science and Technology, University of Electronic Science and Technology of China1
Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China1
Computer Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China1
National Traffic Safety and Environment Laboratory, Chofu, Tokyo, Japan1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213. yunghui@cmu.edu1
Shenzhen Wave Group Suzhou R&D center, Suzhou, China1
Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China1
ECE Department, Carnegie Mellon University, USA. kumar@ece.cmu.edu1
ECE Department, Carnegie Mellon University, USA. raa@andrew.cmu.edu1
Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal1
Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Visual Computing Group, Microsoft Research Asia, Beijing, China. zhoulin@microsoft.com1
Visual Computing Group, Microsoft Research Asia, Beijing, China. i-dezhao@microsoft.com1
College of Information Engineering, Shenzhen University, P. R. China1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan1
TNLIST, Department of Automation, Tsinghua University, Beijing, 100084, China1
Yangzhou University, China1
Yangzhou University, China; Nanjing University of Science and Technology, China1
Aberdeen University, Aberdeen, United Kingdom1
Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden1
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden1
Department of Computer Scicence and Center for Visualization and Virtual Environments, University of Kentucky, Lexington KY 40507. etienne@cs.uky.edu1
The Hong Kong Polytechnic University1
Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands1
University of Technology, Sydney (UTS), Australia1
Information Sciences Institute, University of Southern California, Marina del Rey, USA1
LGI2P, Ecole des Mines Ales, Parc Scientifique Georges Besse, 30035 Nimes cedex 1, France1
Griffith University, Australia1
School of Computer Science, Unmanned System Research Institute, and with the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China1
College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia1
Robotics Aalborg U, Aalborg University, Denmark1
Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India1
Glasgow Caledonian University, Glasgow, United Kingdom1
Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA1
Department of Computer Science, City University of Hong Kong, Hongkong, China1
Centre for Vision, Speech and Signal Processing, Department of Electronic Engineering, University of Surrey, Guildford, U.K.1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
Department of Physiology, University of California, San Francisco, San Francisco, USA1
Department of Neurology, University of California, San Francisco, San Francisco, USA1
Department of Experimental Psychology, Oxford, UK1
Department of Cognitive Neuroscience, Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands1
Department of Electrical and Computer Engineering, Cornell University, USA1
Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France1
Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, Belgium1
Signal Processing Lab, EPFL, Lausanne, Switzerland1
Department of Automation, University of Science and Technology of China, Hefei, 230026, China1
Department of Computer Science, University of Pennsylvania, Philadelphia, PA1
Hewlett-Packard Labs, Palo Alto, CA1
Air Force Research Lab, Rome, NY1
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA1
Department of Applied Informatics and Multimedia, Asia University, Tai-Chung, Taiwan1
LM2S Research Laboratory, Charles Delaunay Institute, University of Technology of Troyes, Troyes, France1
Imagine, LIGM, Universite Paris-Est, France1
École Normale Supérieure, France1
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA1
Beijing Advanced Innovation Center for Imaging Technology, Beijing 100048, China1
Lane Department of CSEE, West Virginia University, Morgantown, WV 26506, USA1
College of Engineering and Design, Hunan Normal University, Changsha, China1
Centre for Vision, Speech and Signal Processing, University of Surregy, Guildford GU2 7XH, United Kingdom.1
Cornell University, School of ECE, USA1
Carnegie Mellon University, Department of ECE, USA1
Johannes Kepler University, Austria1
DSI, Università degli Studi di Milano, 20135 Milan, Italy1
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran1
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Centrum Wiskunde & Informatica, Science Park, XG Amsterdam, NL1
University of Edinburgh, Edinburgh, UK1
University of Catania, Viale, Andrea Doria, Catania, IT1
Dept. of Electronic Engineering, Tsinghua University, Beijing P. R. China1
Institute of Computing Technology, The Chinese Academy of Sciences, Beijing, P.R. China1
Dap—University of Sassari, Italy1
Dsl—University of Sassari, Italy1
Institute of Computing, University of Campinas, Campinas-SP, CEP, Brazil1
Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil1
Halmstad University1
Massachusetts Institute of Technology, Cambridge, MA 02139, USA1
The Rowland Institute at Harvard, Harvard University, Cambridge, MA 02142, USA1
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, 410073, China1
National University of Singapore & SAP Machine Learning, Singapore, Singapore1
Image Understanding Group, Technische Universität München, Garching, Germany1
Cognitive Neuroinformatics Group, University of Bremen, Bremen, Germany1
Perceptual Computing Lab, Waseda University, Tokyo, Japan1
Inria Méditerranée, France1
Network Center, Huizhou University, Huizhou, China1
School of Advanced Computing, Sun Yat-sen University, Guangzhou, China1
School of Software, Sun Yat-sen University, Guangzhou, China1
Department of Computer Science and Engineering, PEC University of Technology, Chandigarh, India1
University of Twente, The Netherlands1
University of Kent, UK1
The University of Twente, The Netherlands1
Département d’Informatique, Université de Moncton, Moncton, Canada1
LabSIE Laboratory, FPO of Ibn Zohr University, Agadir, Morocco1
LAVETE Laboratory, FST of Hassan 1st University Settat, Settat, Morocco1
Department of Information Systems, University of Malaya, Kuala Lumpur, Malaysia1
Department of Computer Science, Faculty of Computer Science and Information Technology, Putra University, Malaysia1
School of Information Technology, Deakin University, Geelong, Vic., Australia1
College of Information Engineering, Jimei University, Xiamen 361021, Fujian Province, China1
LIUM, University of Maine1
Hefei University of Technology, China, China1
National Security, Intelligence and Reconnaissance Division (NSID), Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
School of Computer Science, China University of Geosciences, Wuhan, China 4300741
TNO and Leiden University, The Netherlands1
TNO Netherlands1
Dept. of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Co, Louth Ireland1
Department of Computer Science & Engineering, SNS College of Technology, Coimbatore, India1
School of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea, 120-7491
Computer Science Department, Indian School of Mines, Dhanbad, India1
Member, Education & Research, Infosys Ltd., Chandigarh, India1
National ICT Australia, Locked Bag 8001, Canberra, Australia. Email: lars.petersson@nicta.com.au1
RSISE, Australian National University, ACT 0200, Australia. Email: gary.overett@rsise.anu.edu.au1
UBTech Sydney Artificial Intelligence Institute, Sydney, NSW, Australia1
Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, 541004, China1
Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China1
Cookpad, Inc., Tokyo, Japan1
Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, Korea1
National Kaohsiung Marine University1
École polytechnique fédéral de, Lausanne (EPFL), Switzerland1
Academy of Broadcasting Science, China1
Department of Computer Science, University of Liverpool, Liverpool, L69 3BX, United Kingdom1
School of Stomatology, Stomatology Hospital, Peking University, Beijing, China1
Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China1
USens Incorporation, San Jose, CA, USA1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA1
Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA1
School of Management, Chengdu University of Information Technology, Chengdu, China1
School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China1
Robotics and Microsystem Center, China1
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong1
Institute of neuroscience, Soochow University, China1
Collaborative&Innovative Centre for Educational Technology (CICET) Central China Normal University, Wuhan, China1
National Engineering Research Centre for E-Learning, Central China Normal University, Wuhan, China1
School of Electronics Engineering, Kyungpook National University, Republic of Korea1
University of Bolton, Bolton, UK1
South Westphalia University of Applied Sciences, Soest, Germany1
Computer Science College, Xi’an Polytechnic University, Xi’an, China1
China-ASEAN Research Institute of Guangxi University, Nanning, China1
Division of Surgery and Interventional Science, University College London Medical School, London, U.K.1
University of Sfax, Tunisia, Advanced Technologies for Medicine & Signals1
Faculty of Information Technology, Barrett Hodgson University, Karachi, Pakistan1
Laboratoire Hubert Curien, UMR5516, Université Jean Monnet, Saint-Etienne, France1
Université de Lyon, CNRS, LIRIS, UMR5205, Université Lyon 1, Lyon, France1
ISIP, University of Luebeck, Luebeck, Germany1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: John.Hannah@ed.ac.uk1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: peter@square-eyes-software.co.uk1
GET Lab, University of Paderborn, Paderborn, Germany1
Department of Electrical Engineering and Information System, The University of Tokyo, Japan1
Department of Electronic Engineering, The University of Tokyo, Japan1
National Taipei University of Technology, Taipei, Taiwan1
Department of Electrical, Computer, Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA. jiq@rpi.edu1
Zenuity, Gothenburg, Sweden1
Veoneer Research, Våraårda, Sweden1
McGill University, Montreal1
Harvard Medical School, Boston1
Robotics Institute, Carnegie Mellon University. Pittsburgh, PA 15213, USA1
Humanoid Research Center, Dep. of ME, KAIST, Daejeon, 34141, Korea1
Naver Labs, Seongnam, 13561, Korea1
The University of Suwon, Hwaseong-si Gyeonggi-do, Korea1
Linyi University, Linyi, China and The University of Suwon Hwaseong-si Gyeonggi-do, Korea1
Department of Radioelectronics, Brno University of Technology, Czech Republic1
EBIS, spol. s r.o. & Department of Radioelectronics, Brno University of Technology, Czech Republic1
Instituto de Telecomunicações and Instituto Superior Técnico, Universidade de Lisboa, Portugal1
The military service of Taiwan1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA1
Program of Robotics and Autonomous Vehicles, University of Michigan, Ann Arbor, MI, USA1
Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales, Australia1
Department of Computer Science (CPSD), University of Engineering and Technology (UET), Taxila1
Department of Computer Science and Information Technology (CS&IT), Mirpur University of Science and Technology (MUST)1
Top Key Discipline of Computer Software and Theory, Zhejiang Provincial College, Zhejiang Normal University, Jinhua, China1
Arcelor Mittal Maizières Research SA, France1
ECE Department, Rice University, Houston, USA1
Chung-Shan Institute of Science and Technology, Taiwan, ROC1
Department. of Electrical Engineering, National University of Kaohsiung, Taiwan, ROC1
Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, USA1
Shenzhen Key Laboratory of Data Vitalization, Research Institute in Shenzhen, Beihang University, Shenzhen, China1
Electrical and Computer Engineering, George Mason University, Fairfax, VA 22030, USA1
Computer Vision and Multimodal Computing, MPI Informatics, Saarbruecken1
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu 611731, China1
School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu 611731, China1
Computer Science Department, Dartmouth College, Hanover, USA1
Curtin University Department of Mechanical Engineering, Perth, Western Australia 60121
Department of Mechanical Engineering, Curtin University, Perth, Western Australia 60121
Istituto Italiano di Tecnologia & Università di Verona, Genova, Italy1
Istituto Italiano di Tecnologia (IIT), Genova, Italy1
State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
National Engineering Research Center for Multimedia Software and the School of Computer, Wuhan University, Wuhan, China1
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania1
Pattern Analysis and Machine Intelligence Lab, Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India1
Department of Electrical Engineering, University of New Orleans, New Orleans, LA70148, U.S.A1
Department of Computer Science, University of California, Irvine, USA1
Cornell University, Ithaca, NY1
CVIP Lab, University of Louisville, Louisville, KY 40292. e-mail: farag@cvip.uofl.edu1
Department of Mathematics, Ewha Womans University, Seoul, Korea1
Electronics Department, Faculty of Electrical Engineering and Information Technology, University of Oradea, 410087, Universitatii 1, Romania1
Department of Applied Mathematics, Beijing Jiaotong University, Beijing, People’s Republic of China1
Xinjiang Vocational and Technical College of Communications, Wulumuqi, People’s Republic of China1
School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, People’s Republic of China1
Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany1
School of Computer Science and Technology, Guangdong University of Technology, China1
College of Mathematics and Informatics, South China Agricultural University, China1
SET Corporation, Arlington, VA, USA1
Collage of Engineering, Air Force Engineering University, Xi'an, Shaanxi province, 710038, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 1108191
College of Applied Science, Beijing University of Technology, China1
PRIS Lab of Beijing University of Posts and Telecommunications, Beijing 100876; Chongqing Three Gorges University, Chongqing 404000. E-mail: niexf@tom.com1
Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
Department of Electrical EngineeringComputer Vision Laboratory, Linköping University, Linköping, Sweden1
IBM Research1
Engineering Department, Raja University of Qazvin, Iran1
School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China1
B-DAT Laboratory, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Department of Electrical & Computer Engineering, Ryerson University, Toronto, Canada1
Military Transportation University, Tianjin, China1
Department of Psychology and York Neuroimaging Centre, University of York, York, United Kingdom1
Adobe Systems, Inc.1
Mainz University, Germany1
Carleton University, Canada1
University of Arizona, Tuscon, AZ, USA1
University of Miami, Coral Gables, FL, USA1
National Taiwan Normal University, Taiwan1
Honda Research Institute Europe GmbH, Offenbach, Germany1
Department of Computer Science and Engineering, International Islamic University Chittagong, Bangladesh1
Hong Kong Baptist University and BNU-HKBU United International College1
Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China1
Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Korea1
Computer Vision and Machine Learning Research Group, School of Engineering, University of Central Lancashire, Preston, UK1
Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy1
Université Côte d'Azur1
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, 76131, Germany1
School of Information Science and Technology, ShanghaiTech University, Shanghai, China1
Institute of System Engineering and Control, Beijing Jiaotong University, Beijing, China1
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong1
Xi'an Shiyou University, China1
Xi'an University of Technology, China1
Intel Labs Pittsburgh, 4720 Forbes Ave. Suite 410, PA, USA1
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
College of Computer Sciences, Zhejiang University, Zhejiang, China1
Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, China1
Dept. of Computer Science and Information Eng., National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
State Grid Zhejiang Xianju Power Supply Co., Ltd, Taizhou, China1
State Grid Zhejiang Electric Power Research Institute, Hangzhou, China1
Sharif University of Technology, Iran and iMinds, Gent University, Belgium1
Kontrol Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey1
MERC, Department of Computer Science, City University of Hong Kong, Hong Kong, People’s Republic of China1
NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
Beijing Key Laboratory of Digital Media, School of Computer Science and Technology, Beihang University, Beijing, China1
Shenzhen Key Lab for CVPR, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China1
Graduate School at Shenzhen, Tsinghua University Shenzhen, China1
The University of North Carolina at Chapel Hill, Chapel Hill, USA1
Bundeswehr University Munich, Neubiberg, Germany1
School of Electrical and Computer Engineering, Oklahoma State University (OSU), USA1
Provincial Key Laboratory for Network Based Intelligent Computing, University of Jinan, Jinan, People’s Republic of China1
Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, People’s Republic of China1
Department of Radiology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China1
Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China1
Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA1
School of Communication, Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland1
CNRS LTCI; Télécom ParisTech1
Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI1
Microsoft Corporation1
Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Amity University, Noida, India1
Infosys Limited, Bhubaneswar, India1
University of Beira Interior1
University of Quebec1
UIUC1
School of Science, Southwest Petroleum University, Chengdu, China1
Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia1
Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria1
Informatics Laboratory of Paris6 (LIP6)1
Escuela de Negocios Gastronomicos, Universidad Panamericana, Aguascalientes, Mexico1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. peterson@math.colostate.edu1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. kirby@math.colostate.edu1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. chang@math.colostate.edu1
Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, China1
School of Software Engineering, Xi'an jiaotong University, Xi'an, China1
Department of Computer Science, Loughborough University, Loughborough, U.K.1
Libera Universit di Bolzano-Bozen, Itally1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Xili, Shenzhen, People’s Republic of China1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Goethe University, VSI Lab, Frankfurt, Germany1
IPSRC, Waseda University, Kitakyushu, Japan1
School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China1
Intelligent Recognition and Image Processing Lab. (IRIP), Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China1
Harbin Institute of Technology Shenzhen Graduate School, University Town, Shenzhen, China1
College of Economics, Shenzhen University, Shenzhen, China1
Computer Vision Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia1
Department of Electrical Engineering, Faculty of Engineering, Urmia university, Urmia, Iran1
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, China1
University of Rijeka, Faculty of Engineering, Croatia1
Centrum Wiskunde & Informatica (CWI), The Netherlands1
DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile1
Futurewei Technologies Inc., USA1
Amazon, USA1
Yahoo, USA1
University of Mainz1
Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya1
Barcelona Supercomputing Center (BSC)1
Institute of Automation Chinese Academy of Sciences, Beijing, China 1001901
Universidad de Concepción, Department of Electrical Engineering, Concepción, Chile. Email: mfigueroa@die.udec.cl1
University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA. Email: seth@cs.washington.edu1
Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand1
LEAD Graduate School and Research Network, University of Tübingen, 72074 Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany1
Olaworks, Inc., Seoul, Republic of Korea1
Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea1
The University of Sydney1
NTT Service Evolution Laboratories, Kanagawa, Japan1
SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea1
Department of Computer Science, Illinois Institute of Technology, Chicago, IL 606161
School of Automation and Electrical Engineering, University of Science & Technology Beijing, Beijing, China1
School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, France1
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China1
Department of Computing, The Hong Kong Polytechnic University1
Visual Information Laboratory, University of Bristol, BS8 1UB, UK1
The Organization of Advanced Science and Technology, Kobe University, Kobe, Japan1
RIEB, Kobe University, Kobe, Japan1
Department of Arts and Humanities, College of Business, Arts and Social Sciences, Brunel University London, Uxbridge, UK1
Product/Industrial Design, Northumbria School of Design, Northumbria University, Newcastle upon Tyne, UK1
Department of Design, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK1
School of Information and Computer Technology Sirindhorn International Institute of Technology, Thammasat University, Thailand1
Sherbrooke University, Sherbrooke, Que´bec, Canada1
Center for Advance Imaging Innovation and Research, New York University, New York, NY, USA1
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA1
Department of Computer Science, University of Warwick, Coventry, U.K.1
Laboratoire MIA, University of La Rochelle, La Rochelle, France1
Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
Department of Software and Computer Engineering, Ajou University, Suwon, Korea1
Universidad de Vigo, Spain1
University of Kent1
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada1
Department of Mathematics, Colorado State University, Fort Collins, 80523, USA1
Data Science Department, Worcester Polytechnic Institute, Worcester, MA, USA1
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China1
School of Information Science and Technology, and the Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University, Guangzhou, China1
Identity, Privacy and Security Institute, Department of Electrical and Computer Engineering, University of Toronto, ON, Canada, M5S 2E41
Nokia Research Center, No.5 Dong Huan Zhonglu, BDA, Beijing, 100176, China1
Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan1
University of California, Los Angeles, USA1
Temple University, USA1
Ecole Nationale Supérieure de Techniques Avancées ParisTech, 91762 Palaiseau, France1
TuSimple, San Diego, USA1
Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China1
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Faculty of Engineering and Information Technologies, UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, The University of Sydney, Darlington, NSW, Australia1
Department of Computer Science, University of Southern California, Los Angeles, CA, United States1
Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China1
Computer Vision Laboratory, DAP, Universita di Sassari, Alghero 07041, Italy1
Shandong Academy of Sciences, Jinan, China1
Department of Computer Science, Southern Illinois University, Carbondale, USA1
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China1
University of California, San Diego, San Diego, CA, USA1
Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China1
Henan Key Laboratory of Oracle Bone Inscriptions Information Processing, Anyang Normal University, Anyang, China1
School of Computer and Information Engineering, Anyang Normal University, Anyang, China1
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China1
Department of Electronic and Computer Engineering, Peking University, Shenzhen, China1
School of Electronics Engineering and Computer Science, Peking University Shenzhen Graduate School, Shenzhen, China1
Daimler AG Sindelfingen, Germany1
Electrical Engineering, Kookmin University, Seoul, Korea1
BK21 Information Technology, Seoul National University, Seoul, Korea1
Department of Computer Engineering, Umm Al-Qura University, Mecca, Saudi Arabia1
School of Computing and Communications, Lancaster University, UK and R&D department, Rinicom Ltd., Riverway House, Morecambe Road, Lancaster, Lancashire LA1 2RX, UK1
College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology1
Department of Psychology, Emory University, Atlanta, GA 30322, USA1
Department of Human-Machine Communication at the Faculty for Electrical-and Information Engineering, Technische Universität München (TUM), Germany phone: +491
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States1
Samsung Advanced Institute of Technology, Gyeonggi-do, Korea1
CEDRIC, Conservatoire National des Arts et Métiers, Paris, France1
Thales Land and Air Systems, Élancourt, France1
CNRS, Laboratoire d’Informatique de Paris 6, LIP6, Sorbonne Université, Paris, France1
Department of Computer Science and Technology, NUDT, Changsha, 410073, China1
Beijing University of Posts and Telecommunications, International School E-Commerce Engineering with Law, Beijing, China1
Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China1
LAMIA, University of French West Indies and Guiana, EA 4540, Pointe-à-Pitre, France1
Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France1
Department of Electronics, BVM Engineering College, Vallabh Vidhyanagr, Anand, Gujarat, India1
School of Technology, RK University, Rajkot, India1
Department of Computer Science, University of Texas at San Antonio, San Antonio, United States1
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of China, Hefei University of Technology, Hefei, China1
Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany1
Departments of Art, Youngstown State University, Youngstown, OH 44555, USA1
Departments of Psychology, Youngstown State University, Youngstown, OH 44555, USA1
Department of Electrical Engineering, Indian Institute of Science, Bangalore-12, India1
Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan1
Doctoral School on Electronics, Telecommunications and Information Technology, University “Politehnica”, Bucharest, Romania1
University of Leicester, Department of Engineering, UK1
Chulalongkorn University Bangkok, Thailand1
Hanoi National University of Education, Vietnam1
Hanoi University of Science & Technology, Vietnam1
La Rochelle University, France1
Hanoi University of Agriculture, Vietnam1
Hanoi University of Science & Technology, Vietnam and La Rochelle University, France1
Imperial College London, Department of Electrical Engineering, London, UK1
Fac. of Mathematics and Computer Sciences, University of Science, Ho Chi Minh City, Viet Nam1
College of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, China1
Cooperative Medianet Innovation CenterShanghai Jiao Tong University1
School of Software and Electrical Engineering, Swinburne University of Technology, Australia1
Korea Institute of Industrial Technology, Cheonan, Korea1
Department of Computer Science and Engineering, Dankook University, Yongin-si, Korea1
Department of Applied Computer Engineering, Dankook University, Yongin-si, Korea1
CCIA Department, UPV EHU, Computational Intelligence Group, San Sebastian, Spain1
Division of Psychiatry, School of Medicine, University of Crete, Heraklion, Greece1
Guangzhou Institute of Modern Industrial Technology, South China University of Technology, Guangzhou, China1
Department of Zoology, Michigan State University, East Lansing, 48824, USA1
Transportation Active Safety Institute (TASI) and the Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202 USA1
Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA1
CNRS IEF UMR 8622, Université Paris-Sud, Paris, France1
Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada1
Department of Orthopedic Surgery, British Columbia Children’s Hospital, Vancouver, Canada1
Dynamixyz, Rennes, France1
LIFL (UMR CNRS 8022), Institut Mines-Télécom/TELECOM, Lille 1, France1
California State University, Bakersfield, CA, USA1
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
University of Houston, Houston, TX, China1
Carneige Mellon University, Pittsburgh, USA1
School of Information Science and Electronic Engineering, The University of Queensland, Brisbane, QLD, Australia1
Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA1
School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China1
Institute for Infocomm Research Agency for Science, Technology and Research (A∗STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 1386321
Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX, USA1
Regional Centre IHRD, Thiruvananthapuram, India1
Department of E.C.E, JNTUACE, Ananthapuramu, India1
Department of E.C.E, MITS, Madanapalle, India1
Department OF E.C.E, JNTUA, Ananthapuramu, India1
Multimodal Communication and Computation, University of Southern California, Playa Vista, USA1
Universität Ulm, Ulm, Germany1
University of Technology Sydney, Sydney, NSW, Australia1
SAP Innovation Center Network, Singapore1
Agency for Science, Technology and Research, Institute of High Performance Computing, Singapore1
Department of Computer Science, Effat University, Jeddah, Saudi Arabia1
Dept of Computer Science, The City University of New York, New York City, NY, USA1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. venu@cedar.buffalo.edu1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. zhizhang@cedar.buffalo.edu1
CUBRC, Buffalo, NY, USA. slowe@cubrc.org1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. tulyakov@cedar.buffalo.edu1
University of Denver, Colorado USA1
The Hong Kong University of Science and Technology and University of Helsinki1
Tübitak Bilgem İltaren, Ankara, Türkiye1
Department of Electronics and Communications Engineering, Cairo University, Egypt1
Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt and Department of Computer Science, Boston University, USA1
Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt1
NICTA / Australian National University, Canberra, Australia1
Australian National University / NICTA, Canberra, Australia1
Dept. of Computer and Communication Systems Eng., Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia1
Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya1
College of Computer and Information Sciences, Karachi Institute of Economics and Technology, Karachi, Pakistan1
Department of Software Technology and Enterprize, Korea University, Seoul, Republic of Korea1
University of St. Andrews, UK1
School of Computer, Beijing University of Posts and Telecommunications, Beijing, China1
School of Information, Singapore Management University, Singapore1
Agency for Science, Technology and Research, Singapore1
Fraunhofer IAIS, Germany1
University of Turin, Turin, Italy1
Dept. of Information Engineering, Xiangtan Vocational Technical College, 411102, China1
ECE Department, Carnegie Mellon University, USA. jheo@.cmu.edu1
Computer Science Department, Carnegie Mellon University, Pittsburgh, USA1
School of Pharmaceutical Sciences, Peking University, Department of Molecular and Cellular Pharmacology, Beijing, 100083, PR China1
Department of Mathematics and Statics, Hanshan Normal University, Chaozhou, China1
Department of Computer Science and Engineering, Hanshan Normal University, Chaozhou, China1
Department of Computer Science and Engineering, Texas A&M University, College Station, U.S.A.1
School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.1
Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K.1
Department of Psychology, Bournemouth University, Bournemouth, U.K.1
Dept. of Computer Engineering Kuwait University1
Dept. of Electrical & Computer Engineering, Sultan Qaboos University1
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3. 10000 Zagreb, Croatia1
Research Center for Informatics, Indonesian Institute of Sciences, Jl. Jend. Gatot Subroto 10, Jakarta, Indonesia1
Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
The Computer Engineering Graduate Program, Faculty of Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
College of Information Science and Technology, Beijing Normal University, Beijing, P. R. China1
Tencent, Shanghai, China1
Osaka University, Osaka Prefecture, Japan1
Clarkson University, Potsdam, New York1
Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China1
CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France1
Guangzhou HKUST Fok Ying Tung Research Institute, The Hong Kong University of Science and Technology1
Minzu University of China, Beijing, China1
Nokia Bell Labs, Murray Hill, NJ, USA1
University College London, UK, Dept. of Electronic and Electrical Engineering1
UT Austin Computer Science Dept., TX 78712, USA1
UC Berkeley EECS and ICSI, CA 94720, USA1
Jiangsu Department of Water Resources, Nanjing, China1
Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni, Viale delle Scienze, 90128 Palermo, ITALY1
School of Information Technology and Electrical Engineering, The University of Queensland, Queensland, Australia1
Department of Computer Science, Texas State University, San Marcos, USA1
School of Computer Science, The University of Adelaide, Adelaide, Australia1
IDscan Biometrics Ltd, London E14 9QD, UK1
School of Mathematical Sciences, DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China1
University of Valenciennes, Valenciennes, France1
Computing Department, Imperial College London, UK. M.Pantic@imperial.ic.ac.uk1
Computing Department, Imperial College London, UK. M.F.Valstar@imperial.ic.ac.uk1
School of Computer Engineering, Hanshin University, Osan, Republic of Korea1
Yokohama National University, Yokohama, Japan1
Hokkai Gakuen University Sapporo, Japan1
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pompeu Fabra - UPF and Institució Catalana de Recerca i Estudis Avanats - ICREA, Roc Boronat, 138 - 08018 - Barcelona, Spain1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
School of Internet of Things Engineering, Jiangnan University, Wuxi, People’s Republic of China1
Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA1
Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, Roorkee, India1
Software Engineering Laboratory, Department of Computer Software, University of Aizu, Fukushima, Japan1
Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga, Japan1
College of Mathematics and Information Science, Wenzhou University, Wenzhou, China1
School of Economics, Beijing Technology and Business University, Beijing, China1
Johns Hopkins University1
Image and Video System Laboratory, Information Communication University, Korea1
Mobile Intelligent Autonomous Systems, Modelling and Digital Sciences, Council for Scientific and Industrial Research, South Africa1
Dept. Of ECE, University College of Engineering (KU), Warangal-15, INDIA1
Development Research Institute of Guangzhou Smart City, Guangzhou, China1
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China1
Toyota Research, Los Altos, CA, USA1
School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia1
National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki, Japan1
Shanghai Advanced Research Institute, CAS & Qiniu AI Lab, Shanghai, China1
Dept. of Electronic Engineering, Tsinghua University, Beijing, P.R. China1
School of Computer ScienceThe University of Adelaide1
Instituto de Sistemas e Robótica, Instituto Superior Técnico, Lisboa, Portugal1
Comput. Control Lab, Nanyang Technol. Univ., Singapore1
University of Lyon, LIRIS - CNRS, National Institute of Applied Sciences (INSA), Lyon, France1
Hasselt University, Hasselt, Belgium1
Automotive BU, RT-RK Computer-Based Systems LLC, Novi Sad, Serbia1
Curtin University, Perth, WA, Australia1
China University of Mining and Technology, Beijing, China1
Department of Computer Science, University of York, York, U.K.1
Anyvision Group, Belfast, U.K.1
Department of Computer Science and Engineering, The Ohio State University, Columbus, USA1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA1
School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK1
AT&T Labs Research, Middletown - NJ1
Dept. of Electronic Engineering, Tsinghua University, Beijing, China1
Vision & Sensing Group, Faculty of Information Sciences and Engineering, University of Canberra, Australia1
School of Engineering, CECS, Australian National University, Australia1
Carnegie Mellon University NASA Research Park #23, Moffett Field, CA 940431
The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China1
Faculty of Computers and Information, Ain Shams University, Cairo, Egypt1
Psychology at The University of Texas at Austin, 78712, USA1
National Key Laboratory of Parallel and Distributed Processing, Changsha, China1
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China1
Université Technologique de Compi`egne, 60200, France1
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Tržaška 25, 1000, Slovenia1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
Shenzhen Graduate School, Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China1
The Wellcome Trust Centre for Neuroimaging, UCL, 12 Queen Square, London WC1N 3BG, UK1
School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, People’s Republic of China1
State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China1
College of Information Engineering, Capital Normal University, Beijing,, China1
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, 08-10, 1 Fusionopolis Way, Connexis North Tower, Singapore, Singapore1
School of Software, Dalian University of Technology, 116620, China1
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany1
Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany1
Department of Computer Science, University of Freiburg, Germany1
JENOPTIK Optical Systems GmbH, Jena, Germany1
IBM Research - Almaden, San Jose, CA, USA1
UC San Diego, La Jolla, CA, USA1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Dipartimento di Scienze Umane, Università della Basilicata, Italy1
Istituto Nazionale di Geofisica e Vulcanologia, Sez. di Napoli Osservatorio Vesuviano, Italy1
Electrical Engineering Department, University of São Paulo, São Carlos, SP, Brazil. agonzaga@sc.usp.br1
Electrical Engineering Department, University of São Paulo, São Carlos, SP, Brazil. insilva@sel.eesc.usp.br1
UNIRP - Centro Universitário de Rio Preto, São José do Rio Preto, SP, Brazil. vmvolpe@unirpnet.com.br1
Department of Computer Science and Statistic, University of State of São Paulo, São José do Rio Preto, SP 15054000 Brazil; phone: 55-17-3221-2205; fax: 55-17-3221-2203; ines@ibilce.unesp.br1
Singapore Polytechnic, 500 Dover Road, Singapore 1396511
Singapore University of Technology and Design, 20 Dover Road, Singapore 1386821
University of Surrey, Guildford, United Kingdom1
UIB – Universitat de les Illes Balears, Palma de Mallorca, Spain1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu Beijing 100080, China1
Information Directorate, Air Force Research Laboratory, Rome, NY, USA1
Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Malaysia1
University of Central Florida 4000 Central Florida Blvd., Orlando, 328816, USA1
Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213, USA1
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China1
Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA1
PerceptIn1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China1
Department of Health Sciences, University of Leicester, UK, LE5 4PW1
Paris-Sud,Université Paris-Saclay, Orsay, France1
Université Paris-Saclay, Orsay, France1
Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain1
Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China1
College of Computer Science, Zhejiang University, Zhejiang, China1
Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu1
Institute of Data Science and Technology, Shandong Normal University, Jinan, China1
Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria1
Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium1
Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA1
Department of Arts, Youngstown State University, Youngstown, OH, USA1
American University of Beirut1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services1
National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
School of Electronic and Information Engineer, South China University of Technology, Guandong, China1
VIT University, India1
Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China1
The University of Tokushima, Tokushima 770-8506, Japan; School of Information Engineering, Beijing University of Posts and Telecommunications Beijing 100876, China1
The University of Tokushima, Tokushima 770-8506, Japan. Email: kuroda@is.tokushima-u.ac.jp1
Centre for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland1
Department of Computer Science, Middlesex University London, London, UK1
Department of Computer Science, University of Exeter, Exeter, UK1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Electrical and Computer Engineering Department, Semnan University, Iran1
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Iran1
Biomedical Engineering Department of the School of Electrical and Computing Engineering, and the Biomedical Engineering Centre, State University of Campinas (UNICAMP), Campinas, Brazil1
ECE Department, Northeastern University, Boston, MA, USA1
ETH Zürich, Zürich1
Teleinfrastructure R&D Lab, Technical University of Sofia, Bulgaria1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Princeton University &Microsoft, Princeton, NJ, USA1
Microsoft &University of Washington, Redmond, WA, USA1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
University of Balamand, Souk El Ghareb, Lebanon1
University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France1
University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France1
Collaborative Innovation Center of Novel Software Technology and Industrialization, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
Research Center for Information Technology Innovation and Institute of Information Science, Academia Sinica, Taipei, Taiwan1
Dept. Electrical and Computer Engineering, Iowa State University, Ames, IA, USA1
Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA1
Department of Computer Science, University of California at Riverside, Riverside, CA, USA1
Shahrood University of technology, Shahrood, Iran1
Iran University of Science and Technology, Tehran, Iran1
Institute of Information Technology and Network Security, People’s Public Security University of China, Beijing, China1
University of Helsinki, Finland1
Robert Bosch GmbH, Abstatt, Germany1
OFFIS, Oldenburg, Germany1
Traffic Operations & Safety Laboratory, University of Wisconsin-Madison, Madison, WI, USA1
School of Information Engineering, Wuhan Technology and Business University, Wuhan, China1
Management School, Jinan University, Guangzhou, China1
National Engineering Research Center for Water Transport Safety, Traffic Operations & Safety Laboratory, Wuhan University of Technology, University of Wisconsin-Madison, Wuhan, Madison, WI, ChinaUSA1
Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. sungwonp@andrew.cmu.edu1
Motilal Nehru National Institute of Technology, Allahabad, India1
The University of Electro-Communications, Tokyo, Japan1
Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland1
MIT-IBM Watson AI Lab, Cambridge, MA, USA1
Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia1
CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico1
Seoul National University, Suwon, Gyeonggi-do, Rebublic of Korea1
Seoul National University, Suwon-si, Gyeonggi-do, Rebublic of Korea1
ICMC-USP, São Carlos, São Paulo, Brazil1
Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil1
Adjunct, Effat University, Jeddah, Saudi Arabia1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, USA1
School of Computer Science, Wuyi University, Jiangmen, China1
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, Shenzhen, China1
Beijing Sesame World Co., Ltd, Beijing, China1
Center for Advanced Studies in Identity Sciences, Clemson University1
Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington1
School of Computer Engineering, Nanyang Technological University, Singapore. astjcham@ntu.edu.sg1
School of Computer Engineering, Nanyang Technological University, Singapore. mtpham@ntu.edu.sg1
Faculty of Electrical Engineering, University of Technology MARA, Shah Alam, 40450 Selangor, Malaysia1
Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia1
Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia1
Bilişim Teknolojileri Enstitüsü, Tübitak BİLGEM, Kocaeli, Türkiye1
National defense acquisition and system engineering management, National University of Defense Technology, Changsha, Hunan, P.R. China1
Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh1
School of Computer Science and Software Engineering, University of Western Australia, Crawley, Australia1
College of Engineering & Computer Science, Australian National University, Canberra, Australia1
Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia1
Human-Centered Technology Research Centre, University of Canberra, Bruce, Australia1
Center for Computer Engineering Studies, Faculty of Electrical Engineering, Universiti Teknologi Mara Shah Alam1
Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan1
University of Western Australia, Perth, WA6009, Australia1
Computing, School of Science and Engineering, University of Dundee, Dundee, UK1
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK1
UCSD, San Diego, USA1
Oxford University, Oxford, UK1
CCCE & CS, Nankai University, Tianjin, China1
Karlsruhe Institute of Technology (KIT), Germany1
Istanbul Technical University (ITU), Turkey1
Laboratory of Electronics (EμE), FSM, Monastir, Tunisia1
Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France1
CES Laboratory, ENIS, University of Sfax, Sfax, Tunisia1
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia1
Centre for Artificial Intelligence and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Center for Visual Computing, Ecole Centrale de Paris, France1
Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA1
School of New Media Art and Design, Beihang University1
Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary1
School of Mechanical & Electrical Engineering, Longyan University, Fujian, China1
Department of Audit, Jiaying University, Guangdong, China1
School of Computer, Jiaying University, Guangdong, China1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Center for Development of Advanced Computing, Mumbai, India1
Computational Imaging Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
College of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan, 430074, China1
Institute of Systems Engineering, Southeast University, Nanjing, China1
Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, UK1
ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven1
RWTH Aachen University, Aachen1
LiberoVision AG, Zurich1
Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia1
MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia1
Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman1
Digital Research Center of Sfax, Sfax University, Sfax, Tunisia1
Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA1
Department of Computer Science, ETH Zurich, Switzerland1
School of Sociology, China University of Political Science and Law, Beijing 102249, China1
Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria1
University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria1
Department of Computer Engineering, Computer Science, University of Louisville, Louisville, USA1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Imense Ltd, Cambridge, UK1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
College of Computer Science, Shenzhen University, Shenzhen, Guangdong, China1
School of Computer Science and Technology, Shandong University, Jinan, Shandong, China1
Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China. gqcui@uiuc.edu1
Institute of Electronic and Information Engineer in Dongguan Uestc, China1
Department of Geography, McGill University, Canada1
PES Center for Pattern Recognition, PESIT - Bangalore South Campus, India1
University of California at Los Angeles (UCLA), Los Angeles, CA1
Massachusetts Institute of Technology (MIT), Cambridge, MA1
San Diego State University (SDSU), San Diego, CA1
National University if Singapore, Singapore, Singapore1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA1
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, Stuttgart, Germany1
Weyond, Princeton, NJ, USA1
School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA1
School of Engineering and Information Technology, Deakin University, Geelong, Australia1
CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia1
The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, China1
University of Lincoln, Brayford Pool, Lincoln, UK1
University of Surrey Guildford, Surrey, UK1
Griffith University, Queensland, Australia1
TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany1
Microsoft1
SMILES Laboratory, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
SQUALIO Cloud Consulting, Riga, Latvia1
Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
Epson Research and Development Inc., San Jose, CA1
Philips Research Eindhoven, HTC 34, Netherlands1
University at Buffalo, SUNY, NY 14260, USA1
Department of Computer Science & Engineering, University of Washington, Seattle, USA1
RF Exploitation Branch, U.S. Air Force Research Laboratory, Dayton, OH, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea1
Chinese Academy of Sciences, Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
The University of Sheffield, Department of Computer Science, Sheffield S1 4DP, UK. a.samani@dcs.shef.ac.uk1
Yeungnam University, Gyeongsan-si, Korea1
Lockheed Martin Corporation, Orlando, FL, USA1
Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil1
UC Berkeley EECS and ICSI, CA, United States1
Department of Applied Optics and Photonics, University of Calcutta, 92 APC Road, Kolkata 700009, India1
Key Laboratory for Computer Vision and Pattern Recognition of Xiamen City, Huaqiao University, Xiamen, China1
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands1
University of Applied Sciences Western Switzerland, Sierre, Switzerland1
Dept. Mathematics and Computer Science, UB, Spain1
University of California Berkeley, USA1
NLPR, Institute of Automation, Chinese Academy of Sciences, China1
VNIT Nagpur-India1
Thapar University Patiala-India1
Manipal University Manipal-India1
Manipal University Jaipur-India1
ABV-IIITM Gwalior - India1
Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky USA1
Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, Kentucky USA1
University of Kentucky, Lexington, Kentucky USA1
Department of CSE, Jahangirnagar University, Dhaka, Bangladesh1
Department of CSE., Northern University. Dhaka, Bangladesh1
Department of ECE, East West University, Dhaka, Bangladesh1
College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China1
R. V. College of Engineering, Bengaluru, India1
R.V. College of Engineering, Bengaluru, India1
Department of Computer Science, George Mason University1
A*STAR, Institute for Infocomm Research, Singapore, Singapore1
CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain1
School of Computer Science, Nanjing University of Posts and Telecommunications, Jiangsu, P.R. China1
School of Computing and Information Sciences, Florida International University and School of Computer Science, Nanjing University of Posts and Telecommunications, Jiangsu, P.R. China1
Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France1
Math Dept, Faculty of Science, Helwan University, Cairo-Egypt1
ETH Zürich, Switzerland and Microsoft1
MIT CSAIL and ETH Zürich, Switzerland1
Institute of Information and Control, Hangzhou Dianzi University, China1
CSD, University of Trento, Italy1
Centeye, Inc.1
Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN1
School of Computer Science, South China Normal University, Guangzhou, China1
Shaoguan University, Shaoguan, Guangdong, China1
Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan1
Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea1
Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China1
Department of Psychological Sciences, Birkbeck College, University of London, UK1
Govt. College of Engineering, Amravati India1
M.I.T. College of Engineering Pune, India1
360 AI Institute, Beijing, China1
Tencent YouTu Lab, Tencent Shanghai, China1
Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India1
INRIA Grenoble-Rhone-Alpes, Cedex1
Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology - Paraná (UTFPR), Pato Branco, Paraná, Brazil1
Cardiff University, Cardiff, UK1
Newcastle University, Newcastle, UK1
Southampton University, Southampton, UK1
Department of Psychology, Brunel University, School of Social Sciences, Uxbridge, UK1
Department of Psychology, University of Durham, Durham, UK1
School of Information and Control Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Freie Universität Berlin and Fraunhofer Fokus1
Institute for the Management of Information Systems, R.C. Athena1
Freie Universität Berlin1
Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing , China1
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China1
Comput. Sci., State Univ. of New York, NY, USA1
LIAMA, CNRS, Key Lab of Machine Perception (MOE), Peking University, Beijing, People’s Republic of China1
UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France1
School of Informatics, University of Edinburgh1
Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye1
Council for Scientific and Industrial Research,Pretoria,South Africa1
Department of Gastroenterology, Beijing Chao-Yang Hospital, Beijing, China1
School of Geosciences and Info-physics, Central South University, Changsha, China1
Memorial sloan kettering cancer center, medical physics, New York City, NY, United States1
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong1
Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France1
Université Grenoble Alpes, CNRS, LIG, Grenoble, France1
Peking University & Shanghai Jaio Tong University, Beijing, China1
Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France1
Vesalis, Clermont-Ferrand, France1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China1
National ASIC Design and Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China1
College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China1
Chinese Academy of Science1
Department of Mechanical & Industrial Engineering, Concordia University, Montreal, Canada1
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, P.R. China1
Department of Computer and Electrical Engineering, Ryerson University, Toronto, Canada1
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada1
China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China1
School of Information Technology, Madurai Kamarai University, Madurai, India1
Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India1
Computer Science and Engineering, St.Peter’s University, Chennai, India1
Computer Science and Engineering, Panimalar Engineering College, Chennai, India1
Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway1
Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea1
Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan1
College of Computer and Information Engineering, Henan Normal University, Xinxiang, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq1
Dept. of CSIE, National Taiwan University, Taipei, Taiwan1
Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan1
School of Economics and Management, Minjiang University, Fuzhou, Fujian, China, 4300731
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Dept. of Electrical & Computer Engineering, Birzeit University, West Bank, Palestine1
Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong1
Department of Information Engineering, Chinese University of Hong Kong1
Department of Information Engineering, Henan University of Science and Technology, Luoyang, China1
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK1
The center for neural computation, Hebrew university of Jerusalem, Israel 919041
Computer Science Division, University of Central Florida, Orlando, FL, USA1
GuangXi Cast Animation Company, Ltd., Nanning, China1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
School of Information Engineering, Xiangtan University, Xiangtan, China1
Centre for Quantum Computation & Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA1
Department of mechatronic technology of National Taiwan Normal University1
Department of Computer Science, Taipei Municipal University of Education1
Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain1
Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
GIPSA-lab, BP 46 - 38402 St Martin d'Heres - France1
Vesalis Sarl, 63000 Clermont-Ferrand, France1
University of Southern California, e-mail: uneumann@graphics.usc.edu1
University of Houston, e-mail: zdeng@cs.uh.edu1
University of Southern California / University of Houston, e-mail: sucontph@usc.edu1
Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia1
Robotics, Systems and Control Program at ETH Zürich, Switzerland1
School of Computer Science and Technology, Nanjing Normal University, Nanjing, People’s Republic of China1
School of Information Science and Engineering, Changzhou University, Changzhou, People’s Republic of China1
Qatar Computing Research Institute, Doha, Qatar1
Massachusetts Institute of Technology & ETH Zürich, Cambridge, MA, USA1
Massachusetts Institute of Technology, Cambridge, NB, USA1
Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China1
School of Computer Science and Technology, Hubei University of Science and Technology,Wuhan 437100, China, and the Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China1
Toyota Technological Institute at Chicago, Chicago, IL 60637. ramanan@tti-c.org1
Media Laboratory, Huawei Technologies Co., Ltd., Shenzhen, China1
School of Computing, University of Leeds, UK1
INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France1
Center for Automation Research and the Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ1
Computer Science Dept., Boston University, USA1
Sony Electronics Inc., San Jose, CA, USA1
Center for Ubiquitous Computing, University of Oulu, Oulu, Finland1
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia1
Department of automation, Southeast University, Nanjing, China1
Department of Mechanical and Electronic Engineering, Nanjing Forestry University, China1
Information Engineering Institute, Jimei University, No. 185 Yinjiang Road, Jimei District, Xiamen, China1
Navigation Institute, Jimei University, Xiamen, China1
National Institute of Pure and Applied Mathematics, Brazil1
Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
Research Division, Educational Testing Service, Princeton, NJ, USA1
Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy1
FRD, Toyota Research Institute, Ann Arbor, Michigan USA1
FRD, Toyota Research Institute, Ann Arbor, Michigan 48103 USA1
School of Engineering & Applied Science, Aston University, UK1
Malaviya National Institute of Technology, Jaipur, India1
Division of Biomedical Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR1
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR1
China Electric Power Research Institute, Beijing 100192, China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, P. R. China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia1
Department of Cognitive Science, School of Information Science and Technology, Xiamen University, Fujian, P. R. China1
University of York, York, United Kingdom1
University of Technology and Logistics, International Research Institute MICA, Hanoi University of Science and Technology1
Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India1
School of Informatic, Linyi University, 276005, China1
Safety & Security Engineering Group - DICMA, SAPIENZA - University of Rome, Rome, Italy1
Centre for Engineering Research, School of Engineering & Technology, University of Hertfordshire, College Lane Campus, Hatfield, Hertfordshire, AL10 9AB, UK1
Computer Science Department, State University of New York, Stony Brook, NY11794-4400, USA. E-MAIL: wbzhang2k@hotmail.com1
College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China. E-MAIL: jcmeng@uestc.edu.cn1
Dept. of Math., Shenzhen Univ., China1
Ames HCI Group, Moffett Field1
Schafer Corporation, Arlington1
The University of Texas at Dallas, Richardson1
Science Applications International Corporation, Chantilly1
National Institute of Standards and Technology, Gaithersburg1
Beijing Technology and Business University Beijing, China1
Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
Student Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium. e-mail: thomas.fabry@uz.kuleuven.be1
Department of Mathematics, Taiyuan University of Technology, Taiyuan, China1
School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea1
Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland1
Computer Science and Engineering Department, University of Connecticut, Storrs, CT 06269, USA1
Unit 75719 of the People's Liberation Army, Wuhan, China1
Department of Information Technology, Central China Normal University, Wuhan, China1
Department of Automation, School of Power and Mechanical Engineering, Wuhan University, China1
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Electrical Engineering, Universidad de Chile, Santiago, Chile1
Zhejiang Normal University, Jinhua, China1
Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China1
Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK1
Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India1
Department of Psychology, University of California Santa Barbara, Santa Barbara, CA 93109-9660, USA1
College of Computing & Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
Department of Computer Science, International Islamic University, Islamabad, Pakistan1
Computer Science Department, University of Georgia, Athens, GA, USA1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Technion - Israel Inst. of Technology, Haifa, 32000, Israel1
The Open University of Israel, Raanana, 43107, Israel1
Weizmann Institute of Science, Rehovot, 76100, Israel1
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China1
WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France1
Department of Computer Science, The University of Sheffield, Sheffield, UK1
Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia1
School of Physics and Electronic Engineering, Taishan University, Tai’an, China1
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France1
Cornell University, Ithaca1
Toyota Technological Institute Chicago, Chicago1
School of Computer Science and the Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China1
Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico1
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada1
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto , Toronto, Canada1
Carnegie Mellon University,Pittsburgh, PA1
Department of Electronics and Information Systems, Akita Prefectural University, Japan1
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, China1
Department of information and Communication Engineering, Kogakuin University, Japan1
Software Engineering Department, College of Technology, Firat University, Elazig, Turkey1
College of Technology, Firat University, Elazig, Turkey1
Electronic Engineering College, Changchun University, 130022, China1
Universitat Politecnica de Catalunya Barcelona, Catalonia/Spain1
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, Enschede, The Netherlands1
Technicolor, Paris, France1
MPI Informatics, Germany1
School of Pharmacy, Wenzhou Medical University, Wenzhou, China1
Department of Computer Science, University of Texas at Austin, Austin, USA1
Department of Psychology, University of Pittsburgh, Pittsburgh, USA1
Department of Electrical Engineering, The City College of New York, New York, USA1
Machine Vision Group, University of Oulu, PL4500, FI-90014 Oulun yliopisto, Finland1
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore1
Université de Lorraine, LORIA, UMR 75031
Institute of Information Science & Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan1
Universität Politecnica de Valencia, Valencia, Spain1
King's College, London, UK1
Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China1
Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan1
Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore1
RIKEN Brain Science Institute, Saitama, Japan1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Saitama, Japan1
Institute of Telecommunications, Teleinformatics, and Acoustics, Wroclaw University of Technology, Wroclaw, Poland1
SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Tencent AI Lab, Shenzhen, China1
Shenzhen Key Lab on Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Beijing University of Posts and Telecommunications, E-Commerce Engineering with Law in International School, China1
Beijing Jiatong University, China1
School of Electronic and Information Engg., Beihang University, Beijing 100191, China1
Institute of Informatics and Telecommunications, National Center for Scientific Research - “Demokritos”, Athens, Greece1
Department of Informatics, Ionian University, Corfu, Greece1
School of Control Science and Engineering, Shandong University, Jinan, People’s Republic of China1
University of Twente, Enschede, The Netherlands1
Binghamton University, Vestal, NY, USA1
Universidad de los Andes, Colombia1
University of Michigan, Ann Arbor, 48109-2122, USA1
Arizona State University, Tempe, 85287-5706, USA1
Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China1
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Los Alamos National Laboratory Los Alamos, NM 87545, USA1
Technical center for the Mechanical Industry (CETIM), Senlis, France1
College of Information Sciences and Technology and the Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA1
Computer Aided Diagnosis and Therapy Solutions, Siemens Medical Solutions, Inc., Malvern, PA1
Department of Computer and Information Science, University of Mississippi, University, MS1
Academic Plastic Surgery Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK1
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China, 2000621
A*STAR, Singapore, Singapore1
Imperial College London, UK1
City University of Hong Kong, Kowloon, Hong Kong1
School of Information Technology & Electrical Engineering, The University of Queensland, Brisbane, Australia1
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Department of Electronics Science and Technology, University of Science and Technology of China, Hefei, China1
Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China1
Interdisciplinary Graduate School, Energy Research Institute@NTU, Singapore1
Rolls-Royce@NTU Corporate Lab, Nanyang Technological University, Singapore1
NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal1
Division of Design of Intelligent Machines, Center for Development of Advanced Technologies, Algiers, Algeria1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia1
Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka1
IT - Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal1
CEFITEC - Centro de Física e Investigação Tecnológica, Faculdade de Ciência e Tecnologia, Caparica, Portugal1
Key Lab of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China1
Georgia Tech Research Institute, Atlanta, 30318 USA1
IA, CAS, Beijing, China1
University of Washington and Google Inc.1
Google Inc.1
Dept. of Electrical Engineering, National Chung Hsing University, Taiwan1
Institute for Deep Learning, Baidu, Sunnyvale, USA1
Department of Engineering Physics, Tsinghua University, Beijing, China1
School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China1
NOAA /NGDC, 325 Broadway, Boulder, CO 803051
Institute for Neuroscience and Muscle Research, The Children’s Hospital at Westmead, Sydney, Australia1
Department of Paediatrics, University of Melbourne, Melbourne, Australia1
Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia1
Computer Science at the University of Maryland, College Park, MD 207421
Micro and Nano Devices and Materials Branch in the Sensors and Electron Devices Directorate at the US Army Research Laboratory, Adelphi, MD 207831
Neuroscience and Cognitive Science Program at the University of Maryland, College Park1
The Key Laboratory of Embedded System and Services Computing, Ministry of Education, Tongji University, Shanghai 201804, P.R. China1
Swinburne University of Technology Sarawak Campus, Malaysia1
Shanghai university1
Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 751
Faculty of Electrical Engeneering, Warsaw University of Technology, Warsaw, Pl. Politechniki 11
UNIST, Korea1
SMU, Singapore1
Human Language Technology (HLT) Group, MIT Lincoln Laboratory, Lexington, Massachusetts USA1
School of Mathematical Sciences, Xiamen University, Xiamen, Fujian, China1
Department of Information Management, Tamkang University, New Taipei City, Taiwan1
Department of Industrial Design, Tatung University, Taipei 104, Republic of China1
Department of Computer Science and Engineering, Tatung University, Taipei 104, Republic of China1
École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland1
WillowGarage, Menlo Park, CA, USA1
TU Darmstadt, Germany. schiele@mis.tu-darmstadt.de1
TU Darmstadt, Germany. fritz@mis.tu-darmstadt.de1
TU Darmstadt, Germany. seemann@mis.tu-darmstadt.de1
University of Texas at Austin; Facebook AI Research, Austin, USA1
Dept of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong1
Division of Electronical Engineering, Hanyang University, Ansan, Republic of Korea1
Delhi Technological University, Delhi, India1
College of Economics and Center for Finance and Accounting Research, Shenzhen University, Shenzhen, China1
Department of Automation, Northwestern Polytechinical University, Xi’an, China1
School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey akarun@boun.edu.tr1
Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey hamdi.dibeklioglu@cmpe.boun.edu.tr1
Department of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China1
Smeal College of Business, Pennsylvania State University, University Park, PA, USA1
Department of Electronics, Vishwakarma Institute of Technology Pune, India1
School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China1
College of Science, Xi’an Shiyou University, Xi’an, China1
Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania1
University of Johannesburg, Johannesburg, South Africa1
Department of Electronic, Saad Dahleb University, Blida, Algeria1
Department of Electrical and Electronic Engineering, University of Bristol, United Kingdom1
Orthopaedic Biomechanics, Biomedical Engineering Department, Eindhoven University, Eindhoven, Netherlands1
Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom1
Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United Kingdom1
School of Psychology, University of Ottawa, Ottawa, Canada1
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada1
Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
Signal Processing Group, TU Darmstadt, Germany1
ICSI, UC Berkeley, USA1
MPI Informatics, USA1
Microsoft Research, Redmond, WA1
China University of Geosciences, Wuhan, China1
Center for Development of Advanced Technology, Algiers, Algeria1
Dept. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300131
Beckman Institute, University of Illinois, USA1
Department of Electrical and computer Engineering, Noshirvani University of Technology, Babol, Iran1
University of Massachusetts Dartmouth, Dartmouth, MA, USA1
Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Tohoku University, Japan1
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: YuLi_Xue@ee.buaa.edu.cn, moukyou@buaa.edu.cn1
Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA1
School of Mathematics and Information Science, Chang’an University, Xi’an, China1
National Taipei University of Technology, Taiwan1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
Institute of Digital Media, Peking University, Beijing 100871, China1
Evatix, Dhaka, Bangladesh1
University of Bristol,, UK1
BioMerieu, La Balme-les-Grottes1
TED, Moirans, France1
Thales Electron Devices (TED), Moirans, France1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan1
Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran1
School of Civil Engineering, Wuhan University, Wuhan, 430074, China1
Institute of Signal Processing, Tampere University of Technology, POBox 553, FIN-33 101, Tampere, Finland. e-mail: irek.defee@tut.fi1
Student Member, IEEE, Institute of Signal Processing, Tampere University of Technology, P.O.Box 553, FIN-33101, Tampere, Finland. phone: +358331154503; fax: +35833653087; e-mail: daidi.zhong@ieee.org1
Department of Computer Science, 611 Computer Studies Building, University of Rochester, Rochester, NY1
Intelligent Systems Department, Multimedia Computing Group, Delft University of Technology, Delft, The Netherlands1
Centre for Signal Processing, Dept. of Electronic & Information Engg., The Hong Kong Polytechnic University, China1
The Nature-Inspired Computational Intelligence Research Group, Kanpur, India1
Department of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Tai’an, CO, 271019, China1
UTP University of Science and Technology, Bydgoszcz, CO, 85796, Poland1
Information and Computing Sciences, Utrecht University, the Netherlands1
Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands1
School of Automation Science & Electrical Engineering, Beihang University, Peking, China1
University of Florida, Gainesville, USA1
Siemens Healthcare Technology Center, Princeton, USA1
NIH Clinical Center, Bethesda, USA1
Departments of Biology, Boston University, Boston, MA 022151
Department Electrical and Computer Engineering, National University of Singapore, Singapore1
Xi'an Jiaotong University, Xi'an, PA, China1
Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, China1
Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China1
Department of CSE, National Institute of Technology, Puducherry, Puducherry, India1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. flynn@cse.nd.edu1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. kwb@cse.nd.edu1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. tfaltemi@cse.nd.edu1
3dMD, Atlanta, Georgia, USA1
School of Physics Electrical Information Engineering, Ningxia University, Yinchuan 750021, China1
Department of Computer Science, Auckland University of Technology, Auckland, New Zealand1
College of Information, Capital University of Economics and Business, Beijing, China.sanyecunfu@emails.bjut.edu.cn1
Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA1
School of Computer Science and Technology, Southwest Minzu University, Chengdu, China1
College of Computer Engineering, Yangtze Normal University, Chongqing, China1
School of Science and Engineering (Computing), University of Dundee, Dundee, U.K.1
CSIE, National Cheng Kung University, Tainan, 701 Taiwan1
CSIE, National Taiwan University of Science and Technology, Taipei, 106 Taiwan1
Department of Mathematics, University of Houston, Houston, USA1
Research Group on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia1
Facebook AI Research, Seattle, WA 981091
Computer Science Department, Rutgers University, USA. dnm@cs.rutgers.edu1
Computer Science Department, Rutgers University, USA; National Laboratory of Pattern Recognition, Institute of Automation, CAS, China. qsliu@nlpr.ia.ac.cn, qsliu@cs.rutgers.edu1
Computer Science Department, Rutgers University, USA. yuchuang@cs.rutgers.edu1
Intelligent Systems Laboratory, University of Bristol, Bristol, UK1
Curriculum in Neurobiology, University of North Carolina at Chapel Hill, Chapel Hill, USA1
Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, USA1
Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA1
Sch. of Inf. Eng., Dalian Maritime Univ., China1
Department of Management, Dalian University of Technology, Dalian Liaoning, China1
Department of Electronic Engineering, Dalian University of Technology, Dalian Liaoning, China1
Tohoku University1
Beijing Institute of Technology, China1
Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw1
Yahoo! Research, Haifa, Israel1
Department of Psychology, Boston University, Boston, USA1
CCCE, Nankai University Jinnan Campus, Tianjin, China1
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA1
Chinese Academy of Sciences, Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Beijing, China1
Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China1
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China and Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belg ...1
Graz University of Technology, Institute for Computer Graphics and Vision. bischof@icg.tugraz.at1
Graz University of Technology, Institute for Computer Graphics and Vision. pmroth@icg.tugraz.at1
Graz University of Technology, Institute for Computer Graphics and Vision. hgrabner@icg.tugraz.at1
Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 7570861
Department of Computing, University of Surrey, United Kingdom1
Toyota Technological Institute at Chicago, Chicago, USA1
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France1
Queensland Institute of Medical Research, Brisbane, Australia1
National ICT Australia, Eveleigh, Australia1
University of New South Wales, Kensington, Australia1
Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia1
Australian National University, ACT 0200, Australia1
University of Canberra, ACT 2601, Australia1
Department of EngineeringFaculty of Engineering and Science, University of Agder, Kristiansand, Norway1
Yahoo Inc., New York, NY, USA1
Chongqing University of Technology, Chongqing, China1
School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, China1
National research base of intelligent manufaturing service, Chongqing, China1
Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. costas@aiia.csd.auth.gr1
Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. galba@aiia.csd.auth.gr1
School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn1
Department of Electrical and Electronic Engineering, Hasan Kalyoncu University, Gaziantep, Turkey1
School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland1
iCV Research Group, Institute of Technology, University of Tartu, Tartu, Estonia1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shanxi, P. R. China1
NEC Labs, Cupertino, CA1
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Denver, CO, USA1
Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France1
College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A.1
College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
RT-RK Institute for Computer Based Systems, Novi Sad, Serbia1
Department of Computer Engineering and Communications, Faculty of Technical Sciences, 21000 Novi Sad, Serbia1
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA1
Department of Computer and Information Science, University of Oregon, USA1
Gachon University, Gyeonggi-do, South Korea1
Dankook University, Gyeonggi-do, South Korea1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-0101
eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain1
MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain1
Indian Statistical Institute, Kolkata 7001081
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: tefas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: dralbert@zeus.csd.auth.gr1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA1
School of Information Technology, Deakin University, Geelong, Australia1
School of Sciences, South China University of Technology, Guangzhou, China1
Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr1
Department of Computer Science, POSTECH, Korea. karma13@postech.ac.kr1
Department of Computer Science and Information EngineeringGraduate School of Engineering Science and Technology-Doctoral Program, National Yunlin University of Science and Technology, Yunlin, Taiwan1
UIUC. hanj@cs.uiuc.edu1
Yahoo! hex@yahoo-inc.com1
UIUC. dengcai2@cs.uiuc.edu1
School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel1
Faculty of Aerospace Engineering, University Politehnica of Bucharest, Bucharest, Romania1
Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
IDEMIA, Colombes, France1
KIS PhotoMe Group, Echirolles, France1
Dept. Computer Science & Info. Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan1
Department of Advance Information Technology, Kyushu University, Fukuoka, Japan1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Departament d’Informàtica, Universitat de Valencia, Valencia, Spain1
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland, Germany1
IDIAP Research Institute, Switzerland1
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
School of Computer Sciences and Technology, Nanjing Normal University, Nanjing, China1
School of Mathematical Sciences, Nanjing Normal University, Nanjing, China1
University of Applied Sciences, Technikum Wien, Vienna, Austria1
School of Information Engineering, Univ. of Science and Technology Beijing, Beijing1
Department of Multimedia and Graphic Arts, Cyprus University of Technology, P.O. Box 50329, 3036, Lemesos, Cyprus1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
Department of Communication Disorders and Special Education, Old Dominion University, Norfolk, VA, USA1
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA1
CSE Department, Czech Technical University, Prague, Czech Republic, horejj1@fel.cvut.cz1
ECE Department, Union College, Schenectady, New York, sadilekt@union.edu1
ECE Department, Union College, Schenectady, New York, cotters@union.edu1
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Saarland, Germany1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China1
Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China1
Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie (Sorbonne Universités), Paris, France1
Rutgers University, New Brunswick, NJ, USA1
Lunit Incorporation, Seoul, Korea1
Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador1
LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France1
Amazon, Berkshire, U.K.1
Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus1
Center for Research in Computer Vision, University of Central Florida1
Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20740 United States1
Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854 United States1
Tianjin Universtiy, Tianjin, China1
New York University, Tandon School of Engineering, Brooklyn, New York1
The Chinese University of Hong Kong, Shatin, Hong Kong SAR1
University of Verona, Italy1
Queen Mary University, London, United Kingdom1
University of Lancaster, Lancaster, United Kingdom1
University of Helsinki, Helsinki, Finland1
Deparment of Information Media Technology, School of Information and Telecommuncation Engineering, Tokai University, Japan1
Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China1
Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, Beijing, People’s Republic of China1
School of Engineering and Applied Science, Aston University, Birmingham, U.K.1
College of Computer Science, Hangzhou, China1
College of Information Engineering, Shenzhen, China1
Centre for Quantum Computation and Intelligent Systems, University of Technology at Sydney, Sydney, NSW, Australia1
College of Computing Science & Information Technology, Theerthankar Mahaveer University, Moradabad, India1
Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India1
Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India1
School of Dentistry, Cardiff University, Cardiff, UK1
School of Computer Science and Informatics, Cardiff University, Cardiff, UK1
School of Engineering, Cardiff University, Cardiff, UK1
School of Engineering, Kerbala University, Karbolaa, Iraq1
UMIC Research Centre, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Network Assessment Technology, Institute Of Information Engineering, Chinese Academy Of Sciences, Beijing, China1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technoloy, Guilin, China1
School of Information Technology, Deakin University, Melbourne, Australia1
School of Cyber Science and Engineering, Wuhan University, Wuhan, China1
Toshiba Corporation, Japan1
Department of Electronics, Graduate School of Engineering, Tohoku University, Aza-Aoba 6-6-10, Aramaki, Aoba-ku, Sendai 980-8579, Japan1
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy1
Nat. Biometrics Test Center, San Jose State Univ., CA, USA1
The Hong Kong Polytechnic University / Harbin Institute of Technology1
Department of Computer Engineering, EPOKA University, Tirana, Albania1
Faculty of Contemporary Sciences and Technologies, SEEU, Tetovo, Macedonia1
University of Central Arkansas, Conway, AR, USA1
LIPN, CNRS UMR 7030, Université Paris 13, Sorbonne Paris Cité, France1
Dept. of Telecommunications, HCM City Uni. of Technology, Vietnam1
Dept. of Mathematics and Computer Science, Texas A&M Uni.-Commerce, USA1
Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China1
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong1
Research Innovation Center, Canon U.S.A. Inc., San Jose, USA1
Università di Catania, Catania, Italy1
Department of Computer Science and Electrical Engineering, Jacobs University, Bremen, Germany1
LISA - ISTIA, University of Angers, Angers, France1
MiraLab, University of Geneva, Carouge, Switzerland1
Escola Superior de Tecnologia do IPS, Setúbal, Portugal1
Shijiazhuang Railway Institute, Hebei, China1
Sapienza Università di Roma, Rome, Italy1
Microsoft Research&Stanford University, Stanford, CA, USA1
Department of Electrical Engineering, Université de Biskra, Biskra, Algeria1
School of Mathematics, GuangDong University of Business Studies, Guangzhou, China1
School of Information Science and Engineering, Hunan city University, Yiyang, China1
Department of Computer Science, Princeton University, Princeton, NJ1
University of Sao Paulo and Ribeir˜a Preto Medical School Ribeira Preto, Sao Paulo, Brazil1
Institute of Informatics Federal University of Goias - UFG Goiania, Goias, Brazil1
Department of Informatics, Federal Institute Goiano - IF Goiano Ceres, Goias, Brazil1
University of Trento, Povo, Trento, IT1
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK. msn@ecs.soton.ac.uk1
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK. jdb07r@ecs.soton.ac.uk1
Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan1
Information Science and Technology Institute, Zhengzhou, China1
Zhengzhou Institute of Surveying and Mapping, China1
Zhengzhou Institute of Surveying and Mapping, Information Science and Technology Institute, China1
Department of ECE, National University of Singapore1
Department of Computer Science, University of Dayton1
School of Electronic and Information Engineering, Tongji University, Shanghai, China1
Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran1
Departiment of Informatics Bioengineering Robotics and Systems Engineering, Università degli Studi di Genova, Italy1
KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium1
Institut EURECOM, Sophia Antipolis, (France)1
Sapienza Università di Roma, v. Salaria 113, 00198, Rome, (IT)1
Centre de Recherche Cerveau et Cognition, Université Toulouse 3, Centre National de la Recherche Scientifique, Faculté de Médecine de Rangueil, 31062, France1
Theoretical and Computational Neuroscience Group, Departament de Tecnologia, Universitat Pompeu Fabra, 08018 Barcelona, Spain1
ViNotion B.V., Eindhoven, The Netherlands1
Video Coding and Architectures Research Group, Electrical Engineering Faculty, Eindhoven University of Technology, Eindhoven, The Netherlands1
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
School of Computer and Information Technology, Liaoning Normal University, Dalian, China1
Research Center for Information Technology Innovation and the Institute of Information Science, Academia Sinica, Taipei, Taiwan1
School of Computer Engineering, Iran University of Science and Technology, Narmak, Iran1
Vienna University of Technology1
Institute for Dynamic Systems and Control, Swiss Federal Institute of Technology, Zürich, Switzerland.1
Autonomous Systems Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland.1
School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China 6100641
University of Massachusetts Amherst, Amherst, MA, USA1
Microsoft & University of Massachusetts, Amherst, Redmond, WA, USA1
Microsoft & University of Washington, Redmond, WA, USA1
Wuhan University of Technology, Wuhan China1
University of Orléans, Orléans, France1
Department of Engineering, University of Cambridge, Cambridge, U.K.1
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea1
Bilgisayar Mühendisliği Bölümü, MEF Üniversitesi, İstanbul, Türkiye1
CST School, Seoul National University, Seoul, Korea1
Faculty of Engineering and Computing, Coventry University, UK1
Dept. of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria1
School of Automation, Southeast University, Nanjing, 210096, China1
Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, 100191 China1
Warsaw University of Technology, Nowowiejska 15/19m 00-665, Poland1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha 410073, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, NSW 2008, Australia1
College of Science, National University of Defense Technology, Changsha 410073, China1
Department of Electrical Engineering, Mashhad Branch, Islamic Azad University Mashhad, Iran1
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University Neyshabur, Iran1
Public Service Platform of Mobile Internet Application Security Industry, Shenzhen, China1
Shenzhen Applied Technology Engineering Laboratory for Internet Multimedia Application, Shenzhen, China1
Computer Application Research Center, ShenZhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil1
Tsinghua University, Beijing, 100084, China1
University of Exeter1
DSO National Laboratories, Singapore1
State Key Laboratory of Integrated Services Networks, School of Telecommunications, Xidian University, Xi'an, China1
Shanghai Technical Institute of Electronics and Information, China1
Department of Geography Minjiang University, China1
China National Institute of Standardization, Beijing, China1
Institute of Information and Control, Hangzhou Dianzi University, Zhejiang, China1
Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool, U.K.1
School of Information and Software Engineering, University of Electronic Science and Technology of China1
Human-Robot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea1
Dept. of Computing University of Leeds Leeds, UK, LS2 9JT1
Faculty of Computer Engineering, Munzur University, Tunceli, Turkey1
Faculty of Mechatronics Engineering, Firat University, Elazig, Turkey1
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. vangool@esat.kuleuven.be1
ETH Zurich, Zurich, Switzerland. aess@vision.ee.ethz.ch1
Universidad de los Andes, Colombia, USA1
Institute of Industrial Science, The University of Tokyo, Meguro-ku, Japan1
Defence R&D Canada, Toronto, ON, Canada1
School of Computer, Zhejiang Wanli University, Ningbo, China1
Library, Zhejiang Wanli University, Ningbo, China1
Alexandria High Institute of Engineering and Technology-Egypt. Email: hassanfahmy36@hotmail.com1
Department of Biomedical Engineering, The University of Texas at Austin, 78712, USA1
Department of Electrical and Computer Engineering, The University of Texas at Austin, 78712, USA1
University of Massachusetts, Dartmouth, Dartmouth, MA, USA1
Department of Cognitive Science, Xiamen University, Xiamen, China1
School of Information Systems Singapore Management University, Singapore1
Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China1
A.G. Patil Institute of Technology, Solapur, India1
Rani Channamma University, Belagavi, India1
Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China1
School of Information Science and Engineering, Central South University, Changsha, People’s Republic of China1
Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, Xiangtan, People’s Republic of China1
School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China1
Department of Geo-informatics, Central South University, Changsha, China1
Department of Geography and the Environment, University of Denver, Denver, CO, USA1
Department of Computer & Software Engineering, Bahria University, Islamabad, Pakistan1
School of Information Communication Technology, Griffith University, Queensland, Australia1
YouTu Lab, Tencent, Shanghai, China1
NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Nokia Technologies, Tampere, Finland1
Department of Computer, Science and Engineering, Chandy College of Engineering, Anna University, Thoothukudi, Tamil Nadu, India1
Department of Information Technology, MNM Jain Engineering College, Anna University, Chennai, Tamil Nadu, India1
Institute of Infocomm Research, A-STAR Singapore1
School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Department of Software Engineering, College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, Saudi Arabia1
Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain1
Department of Mathematics and Computer Science, Universitat de Barcelona, Barcelona, Spain1
Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain1
Fundació Privada Sant Antoni Abat, Vilanova i la Geltrú, Spain1
DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany1
Technical University, Kaiserslautern, Germany1
Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China1
Microsoft Corporation, Cambridge, United Kingdom1
UFSC - Federal University of Santa Catarina / INE - CTC, Florianópolis, 88040-900, Brazil1
UDESC - Santa Catarina State University, DCC - CCT, Joinville, 89219-710, Brazil1
Nanjing Institute of Astronomical Optics and Technology, National Astronomical Observatories, Chinese Academy of Science, Jiangsu 210042, China1
School of Computer Science and Engineering, Nanjing University of Science and Technology, Jiangsu 210094, China1
Microsoft Research Cambridge Cambridge, UK1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia1
School of Automation, Beijing Institute of Technology, Beijng, China1
Bejing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Automation, Beijing Institute of Technology, Beijng, China1
Carnegie Mellon University and Disney Research, Pittsburgh1
Department of Mechanical Engineering, KAIST, Korea1
Department of Creative IT Engineering, POSTECH, Pohang, Korea1
Robotics Program, KAIST, Daejeon, Korea1
Centre for Intelligent Machines and Department of Electrical and Computer Engineering, McGill University, Montreal, Canada1
Information and Engineering College, Dalian University, Dalian, P. R. China1
University of California, San Diego, La Jolla1
Google Inc., Mountain View1
University of Technology at Sydney, Sydney, NSW, Australia1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik1
Department of Computer Science, University of Toront, Toronto, Canada1
Computer Science & Engineering Bengal Engineering and Science University, Shibpur Howrah, India1
Electronics & communication Engineering Gurunanak Institute of Technology, Sodepur Kolkata, India1
Chinese Academy of Sciences Beijing, 100080, China1
Lab. IGM, Université Paris-Est1
ITI Department Telecom Bretagne, Brest, France1
Dept. of Electronics and Telecommunication Engineering, Assam Engineering College, Guwahati, Assam, India1
Dept. of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia1
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia1
State Grid Liaoning Electric Power Supply CO. LTD, China1
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan1
Adobe Systems Incorporated, San Jose, CA, 951101
Computer Science and Engineering Department, Arizona State University. hliu@asu.edu1
Computer Science and Engineering Department, Arizona State University. zhaozheng@asu.edu1
Computer Science and Engineering Department, Arizona State University. jieping.ye@asu.edu1
Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand1
Institute of Computer graphics and Image Processing, Hangzhou Dianzi University, Hangzhou, China1
State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China1
Informatics Engineering Department, Faculty of Science and Technology, University of Coimbra, Portugal1
NIWA, Wellington, New Zealand1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
The Friedberg Genizah Project, Jerusalem, Israel1
The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel1
College of Computer and Information Science, Northeastern Unciversity, Boston, USA1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia1
Western Kentucky University, USA1
Microsoft, Redmond, WA1
Systems Design Engineering Department, University of Waterloo, Waterloo, Canada1
Postdoc Center of Information and Communication Engineering, Xiamen University, Xiamen, China1
University of N. British Columbia, Prince George, Canada V2N 4Z91
Brown University, USA1
Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands1
Panasonic Singapore Laboratories1
ETS, Québec, Canada1
University of Oulu1
Blida University1
University of Tokushima, Shinkura-cho, 770-8501, Japan1
Departamento de Ciencias de la Computación e I.A., Universidad de Granada, Granada, Spain1
TCL Research America, San Jose, CA, USA1
University of Southampton IT Innovation Centre, Southampton, UK1
Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Electrical Engineering Department, Xian Shiyou University, Xi’an, China1
School of Logistics, Engineering in Wuhan University of Technology, Wuhan, China1
School of Logistics, Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China1
Samsung Electronics, Yong-In, Gyeonggi-Do, Korea1
Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands1
Technicolor1
INRIA Rennes1
Department of Computer Science and Engineering, POSTECH, Pohang, Korea1
Department of Computer Science, National Chung Cheng University, Chiayi, Taiwan1
Computer Vision Center, Bellaterra, Spain1
Dept. of Comput. Inf. & Sci., Delaware Univ., Newark, DE, USA1
Electrical Engineering Department, Tafresh University, Tafresh, Iran1
School of Engineering, Tokyo Institute of Technology, Yokohama, 226-8502, Japan1
University of Southern California, Southern California, USA1
68129 Army, Lanzhou, China1
Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Centre de Développement des Technologies Avancées, Baba Hassen, Finland1
Department of Automation, Tsinghua University, Bejing, China1
School of Electrical Engineering, University of Ulsan, Ulsan, Korea1
Faculty of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany1
Research and Development Center on Emergency Support Technologies for Transport Safety, CCCC First Highway Consultants Co., Ltd, Xi'an, China1
School of Software Engineering, Xi'an Jiaotong University, Xian, Shaanxi, China1
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China1
Zebra Technologies Corporation, Shanghai, China1
Sardina Systems, Tallinn, Estonia1
Headquarters of GuiZhou Division of Armed Police, GuiYang 550008, P.R. China1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
Space Application Laboratory, Research Center for Advanced Science and Technology, University of Tokyo, Japan1
Department of Aeronautics and Astronautics Engineering, Graduate School of Engineering, University of Tokyo, Japan1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kedah, MALAYSIA1
Computer Vision Group, RWTH Aachen University, D-52074, Germany1
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, NY, USA1
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China1
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China1
School of Computer Science, University of Nottingham, Nottingham, UK1
Dipartamento di Informatica, University of Verona, Italy1
VARPA Group, University of A Coruña, Spain1
Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Zhejiang Wanli University, Ningbo, China; Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China1
School of Electronic Engineering and Computer Science, Queen Mary, University of London, London, UK1
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China1
Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
A*STAR, Singapore / National University of Singapore, Singapore1
School of Computer Science, Chengdu Normal University, 611130, China1
Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan1
IBM Research India, New Delhi, India1
Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong1
National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China1
Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China1
Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China1
Institute of System Science, Northeastern University, Shenyang, China1
LETI-EHTP casablanca1
ThyssenKrupp Elevator Americas1
Harvard Medical School and Brigham and Women's Hospital, Boston, USA1
Istanbul Technical University , Istanbul, Turkey1
Harvard Medical School , Boston, USA1
The Hebrew University of Jerusalem , Jerusalem, Israel1
University College London , London, United Kingdom1
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, Xuzhou, China1
Centre de recherche de l’Institut universitaire en santé mentale de Québec, Quebec City, Canada1
Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Quebec City, Canada1
Faculté des sciences sociales, École de psychologie, Pavillon Félix-Antoine-Savard, Université Laval, Quebec City, Canada1
School of Computer Engineering, Sejong University, Seoul, 143-747, Korea1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany1
School of Mathematics and Statistics, Yunnan University, Kunming 650091, China1
CARTIF Foundation, Valladolid, Spain1
Department of Electrical & Computer Engineering, Democritus University of Thrace, Xanthi, Greece1
Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway1
Department of Electrical and Computer Engineering, University of Illinois at Urbana—Champaign, Champaign, IL, USA1
Research & Development, British Broadcasting Corporation (BBC), London, UK1
Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia1
Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China1
School of Logistics Engineering, Wuhan University of Technology, Wuhan, PR, 630047, China1
School of Mathematical Sciences, Xiamen University, Xiamen, PR, 361005, China1
Department of Statistics, The Chinese University of Hong Kong, Hong Kong, PR, China1
Toyota Technological Institute at Chicago, USA1
Wide Eyes Technologies1
Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore1
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, China1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece1
School of Management, University of Bath, Bath, UK1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
Machine Learning GroupTechnische Universität Berlin1
Stony Brook University, New York, USA1
EECS Department at UC Berkeley, Berkeley, USA1
WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France1
Air Force Research Laboratory at Rome, Rome, NY1
Department of Engineering Science, University of Oxford, Oxford, United Kingdom1
Department of Information Engineering, the Chinese University of Hong Kong1
Department of Electronic Engineering, the Chinese University of Hong Kong, Shatin, Hong Kong1
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 728401
Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Brasil1
Harbin Institute of Technology & Tsinghua University, Harbin, China1
Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Malong Technologies Company, Ltd., Shenzhen, China1
The State Key Laboratory of High-end Server and Storage Technology, Jinan, China1
Department of Digit Technology, No.38 Research Institute of CETC, hefei, China1
Department of public computer teaching, Hefei Normal University Hefei, China1
Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India1
Defense Research and Development Organization, Ministry of Defense, Delhi, India1
University of Arizona, Tucson, Arizona United States1
College of Forestry, Nanjing Forestry University, Nanjing, China1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China1
University of Washington, USA1
GE Global Research, USA1
Team of research IMAGE- GREYC laboratory, université de Caen Basse Normondie, 14000 Caen, France1
Graduate University of Chinese Academy of Sciences, and the Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, China1
Department of Mechanical Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka1
Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka1
Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary1
School of Computer Science, Simon Fraser University, 8888 University Dr, Burnaby, BC V5A 1S6, Canada1
Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824-1226. stockman@cse.msu.edu1
Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824-1226. colbrydi@cse.msu.edu1
Research Institute for Future Media Computing, School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China1
Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China1
School of Mathematical Sciences, University of Science and Technology of China, Hefei, China1
Institute of Automation, Chinese Academy of Sciences, 100083, China. E-MAIL: changping.liu@mail.ia.ac.cn1
Institute of Automation, Chinese Academy of Sciences, 100083, China. E-MAIL: lei.huang@mail.ia.ac.cn1
Harbin Engineering University, Harbin, Heilongjiang, 150001, China. E-MAIL: xugaofeng@hanwang.com.cn1
Tohoku University, Graduate School of Information Sciences, Sendai, Japan1
Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China1
Institute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC1
Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan1
Graduate School of Informatics and Engineering, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Moscow State University, GSP-1, Moscow, Russia1
Karabuk University Turkey, Karabük1
Gaziosmanpaşa University Turkey, Tokat1
RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
National Taiwan University, Taiwan1
Omron corporation, Japan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
The Open University of Japan, Chiba-shi, Japan1
E.C.E. Department, University of Thessaly, Volos, Greece1
"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania1
Pontificia Universidad Católica del Perú -- Artificial Intelligence Research Group (IA-PUCP), Lima - Peru1
LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France1
NVIDIA Research, Santa Clara, CA, USA1
Siren Solutions, Dublin, Ireland1
Paradigma Digital, Madrid, Spain1
“Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, Romania1
Department of Telecomm. Engineering, National, University of Computer &Emerging Sciences (NU-FAST), Peshawar, Pakistan1
INESC TEC and the Faculty of Engineeiring, University of Porto, Rua Roberto Frias 4200-465, Portugal1
Department of Neurology, University of Munich at Marchioninistrasse 15, 81377, Germany1
INESC TEC (Instituto de Engenharia de Sistemas e Computadores do Porto), University of Porto, Rua Roberto Frias 4200-465, Portugal1
School of Electronics Engineering, Kyungpook National University, Taegu, South Korea1
Department of Electronics and IT Media Engineering, Seoul National University of Science and Technology, Seoul, Korea1
Beijing Engineering Research Center for IoT Software and Systems, School of Software Engineering, Beijing University of Technology, Beijing, China1
Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), School of Software, Tsinghua University, Beijing, China1
College of Animal Science, Jilin University, Changchun, China1
Editorial Department of Journal, Jilin University, Changchun, China1
Department of Software Technology and Methodology, Faculty of Informatics, Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest H-1117, Hungary1
Sun Yat-sen University & Sensetime, Guangzhou, China1
School of Information Technology in Education, South China Normal University, Guangzhou, China1
Dept. of EE, KAIST, Korea1
CASIA, China1
Language Technologies Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
Department of Electrical & Electronics Engineering, Kalasalingam University, Krishnankoil, India1
Scene Understanding Group, University of Twente, Netherlands1
Center for Machine Perception, Czech Technical University, Czech Republic1
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, Sri Lanka1
Division of Computer Engineering, Dongseo University, Busan, Korea1
Dept. of Information Technology, Manipal University Jaipur, Jaipur, India1
Dept. of Computer Science and Engineering, Amity University Rajasthan, Jaipur, India1
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia1
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Beijing Information Science and Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination Research School of Computer Science, Beijing, China1
School of Digital Media, Jiangnan University Jiangsu Wuxi, PR China1
School of Digital Media, Jiangnan University, Jiangsu Wuxi, PR China1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Standards & Metrology Research Institute of CARS, Beijing, China1
College of Information Science & Technology, Hebei Agricultural University, Baoding, China1
Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Graduate School of System Informatics, Kobe University, Japan1
Biomedical and Multimedia Information Technology Research Group, The University of Sydney, Darlington, NSW, Australia1
School of Maths, Statistics & Computer Science, University of KwaZulu-Natal, Durban, South Africa1
Faculty of Science and Technology, Sudan University of Science and Technology, Khartoum, Sudan1
LIMIARF University Mohammed V-Rabat, Marocco1
Department Of Computer Science, TU Dortmund1
School Of Computing, University Of Dundee1
Beckman Institute and Department of Computer Science, University of Illinois at Urbana-Champaign, USA1
Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA1
Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA1
Department of Computer Science, Virginia Polytechnic Institute and State University, Falls Church, Virginia, USA1
Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, Delft, The Netherlands1
CVSSP, University of Surrey, Guildford, UK1
School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Graduate School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Instituto Andaluz de Geofísica, University of Granada, Spain1
ESMT Inc, Hsinchu, Taiwan1
Boston, USA1
Boston, USA1
School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran1
Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran1
University of Porto, Portugal1
Federal Institute of São Paulo, Araraquara, Brazil1
School of Science, Jiangnan University, Wuxi, China1
University of York,York, YO10 5DD, UK1
Department of Computer Science, University of Copenhagen, Denmark1
Institute for Pattern Recognition and Artificial Intelligence and the National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia1
Department of Computer and Information ScienceFaculty of Science and Technology, University of Macau, Macau, China1
Advanced Technology division, Toyota Motor Europe, Japan1
University of Massachusetts at Amherst, Amherst, MA, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Adelaide University, Australia1
LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France1
Institute of Computer Science, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland1
Multimedia Laboratory, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada1
Carleton University, Ottawa, ON, Canada1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat (India)1
Dharmsinh Desai University, Nadiad, Gujarat (India)1
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China1
Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany1
Department of Electronic Engineering, University of Electronic Science and Technology of China, China1
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany1
NeuroRx Research, Montréal, Canada1
School of Computer Science, McGill University, Montréal, Canada1
University of Central Florida, Computer Science1
Stetson University, Computer Science1
Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China1
SenseTime Group Limited, Shatin, Hong Kong1
University of Pretoria, Pretoria, South Africa1
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
Folkhalsan Research Center Helsinki, Finland1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
Fellow, IEEE, Faculty of Computer Science, George Mason University, Fairfax, VA 22030, USA wechsler@cs.gmu.edu1
CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com1
KT Future Technology Laboratory, Seoul, South Korea1
Graduate School of Information, Production and Systems (IPS), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Information, Production and Systems Research Center (IPSRC), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Punjab Engineering College, Chandigarh, India1
College of Computer Science, Zhejiang University1
Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey1
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey1
Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China1
School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan1
Shanghai Adwanced Research Institute, Chinese Academy of Sciences, Shanghai, China, 2012101
Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
College of Teacher Education, Wenzhou University, Wenzhou, China1
CAS Key Laboratory of Behavior Sciences, Institute of Psychology, Beijing, China1
Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: msn@ecs.soton.ac.uk1
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: bg@ecs.soton.ac.uk1
Jiangxi University of Finance and Economics, Nanchang, China1
Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China1
Ozyegin University, Istanbul, Turkey1
Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil1
Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil1
Department of Electrical Engineering, Stanford University1
P.P.G. Institute of Technology, Coimbatore1
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan1
Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan1
CSE & IT Department, Electrical and Computer Engineering Faculty, Shiraz University, Shiraz, Iran1
Department of Engineering, University of the Ryukyus, Nishihara, Okinawa, 903-0213, Japan1
Graduate School of Engineering and Science, University of the Ryukyus, Nishihara, Okinawa, 903-0213, Japan1
The University of Tokyo & JST PRESTO, Tokyo, Japan1
Ocean University of China, Teaching Center of Fundamental Courses, Qingdao, China1
Centre of Research in Complex Systems, Charles Sturt University, Albury, Australia, 26401
Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway1
Baylor College of Medicine, Houston, TX, USA1
Brown University, Providence, RI, USA1
University of Florida, Gainesville, FL, USA1
Cleveland Clinic, Cleveland, OH, USA1
University of Auckland, Department of Mechanical Engineering, New Zealand China1
School of Mechatronic Engineering and Automation, Robotics, Shanghai, China1
Digital Technology International Group, Perth Airport, Australia1
ZHAW Datalab1
University of Venice1
IDSIA & USI1
University of Venice & ZHAW1
ZHAW Datalab & USI1
National Taiwan University of Science and Technology, Department of Mechanical Engineering, Taiwan1
University of Tokushima, Shinkuracho, 770-8501, Japan1
Graduate School of System Informatics, Kobe University, 657-8501, Japan1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Computer Science Department, University of Crete, Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH, Computer Science Department, University of Crete1
Information and Science Technology Institute, Peking University Shenzhen Graduate School, Shenzhen, China1
Information Network Engineering and Research Center, South China University of Technology, Guangzhou 510641, China1
School of Software, Nanchang Hangkong University1
Institute of Computer Vision, Nanchang Hangkong University1
Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China1
School of Information Science and Engineering, Northeastern University, Shenyang, China1
Neptec Design Group Ltd, Kanata, Canada1
Signal Network Technology Pty Ltd, Sydney, Australia1
Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia1
Department of Medical and Molecular Biosciences, University of Technology Sydney, Sydney, Australia1
Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Griffith School of Engineering, Queensland Research Laboratory, National ICT Australia, Griffith University, Nathan, Australia1
Queensland Research Laboratory, National ICT Australia and Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Australia1
Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada1
Faculty of Forensic Science and Technology, Guangdong Police College Guangzhou, Guangdong, P. R. China1
School of Computing and Mathematics, Charles Sturt University, Australia1
School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel1
Yahoo Research Labs, Haifa, Israel1
Weizmann Institute, Rehovot, Israel1
Institute of Cognitive and Brain Sciences, University of California, Berkeley, USA1
Tel Aviv University, Tel Aviv, Israel1
Computer Science Department, University of California, Los Angeles, USA1
University of Nebraska-Lincoln, Lincoln, USA1
Department of Cognitive Sciences, Education and Cultural Studies, University of Messina, Messina, Italy1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD1
Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
University of Tunis El Manar, Tunis, Tunisia1
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, China1
School of Computer Science and Technology, and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
University of Vermont, Burlington, VT, USA1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia1
Department of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
College of Information and Control Engineering, China University of Petroleum, Qingdao, China1
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA1
Intel Labs Europe, Pipers Way, Swindon1
College of Computer Science and Technology, Guizhou University, Guiyang, China1
Department of Computer Science & Engineering, University of Washington, USA1
Intel Labs Seattle, Seattle, WA 98105, USA1
School of Management, Dalian University of Technology, Dalian, Liaoning Province, China. lihui@ln.chinamobile.com1
Visual Computing Group, Microsoft Research Aisa1
Visual Computing Group, Microsoft Research Asia1
University of Leeds, Leeds, United Kingdom1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China1
Department of Communication Engineering, Nanjing Institute of Technology, Nanjing, China1
Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China1
DIMAp/UFRN, Natal, Brazil1
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, New Jersey, 070301
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 028811
Vulcan Inc, Seattle, WA 981041
Department of Computer Science, Hofstra University, Hempstead, NY 115491
Digital Media Lab, Dept. Applied Physics and Electronics, Umeå University, SE-90187, Umeå, Sweden1
Dept. Applied Physics and Electronics, Umeå University, SE-90187, Umeå, Sweden1
University of Western Australia, Crawley, Australia1
Umm Al-Qura University, Makkah, Saudi Arabia1
School of mechanical and power engineering, Hennan Polytechnic University, Jiaozuo, China1
Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany1
ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid1
Columbia University, USA1
Graduate School of Information Science and Technology, The University of Tokyo, Japan1
School of computer Science and Engineering, Nanyang Technological University, Singapore1
Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India1
Department of Pathology, University of California, San Francisco, 94143, USA1
Department of Radiology & Biomedical Imaging, University of California, San Francisco, 94143, USA1
York University, Toronto, ON, Canada1
Academia Sinica, Taiwan1
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University, China1
Carnegie Mellon University, Robotics Institute1
School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
UNSW, Sydney, Australia1
Department of Electronics and Electrical Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science and Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines1
Australian National University, Canberra, ACT, Australia1
School of Automation, Beijing Institute of Technology, Beijing, China1
Key Laboratory of Intelligent Information Process, Chinese Academy of Sciences, Beijing, China1
College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan1
Noah's Ark Lab, Huawei, Shenzhen, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, United States of America1
Electrical and Microelectronic Engineering Department, Rochester Institute of Technology, NY 14623, United States of America1
Yahoo, Sunnyvale, CA, USA1
Bell Labs, Cambridge, United Kingdom1
Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark1
INESC TEC, Universidade do Porto, Porto, Portugal1
Dept. of Informatics Engineering and Electrical Engineering, Faculty of Engineering, Mataram University, Mataram, Indonesia1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada1
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong1
Noah’s Ark Laboratory, Hong Kong1
Noah.s Ark Laboratory and Hong Kong University of Science and Technology, Hong Kong1
School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
La Trobe University, Melbourne, Australia1
BITS Pilani, India , India1
Department of Computer Engineering Faculty of Engineering, MUT1
Department of Computer Engineering Faculty of Engineering, NPU1
Department of Electrical Engineering, Rio de Janeiro State University , Rio de Janeiro, Brazil1
Department of Electrical and Computer Engineering, Democritus University of Thrace, Thrace, Greece1
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece1
Department of Health Sciences, University of Leicester, Leicester, Unithed Kingdom1
Department of Civil, Environmental & Geomatic Engineering, University College London, London, Unithed Kingdom1
Physiotherapy Department, Maidstone & Tunbridge Wells NHS TrustTN2 4QJ1
Institute for Information Industry, Taipei City, Taiwan1
Department of Digital Humanities, Aletheia University, New Taipei City, Taiwan1
Raytheon BBN Technologies, Cambridge, MA1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China1
Deutsche Telekom Laboratories, Germany1
Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany1
Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India1
Dept. of Electronics & Instrumentation Engineering, University B.D.T. College of Engineering, Davanagere, Karnataka, India1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain1
AI Laboratories, Alibaba Group, Hangzhou, China1
Centrum Wiskunde & Informatica, Amsterdam, Netherlands1
DAUIN, Politecnico di Torino, Turin, Italy1
Intel Labs, Banglore, Karnataka, India1
National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China1
School of Mathematics and Statistics, Northeast Normal University, Changchun, China1
Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China1
Department of Science Program, Texas A&M University at Qatar, Doha, Qatar1
School of Mathematics, Southeast University, Nanjing, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China1
School of Engineering, Qufu Normal University, Rizhao, China1
College of Science, Liaoning University of Technology, Jinzhou, China1
Florida International University, Miami, FL, USA1
Dhofar University, Oman1
Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia1
Department of Computer Science & Information Engineering, Shu-Te University, Taiwan1
Department of Drama and Theatre, National Taiwan University, Taiwan1
Shenzhen Institute of Advanced Technology1
Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria1
Center for Machine Vision Research, Computer Science and Engineering, University of Oulu, Oulu, Finland1
Department of Computer Science Faculty of Computers and Information, Mansoura University, Mansoura, Egypt1
Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, USA1
Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA1
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China1
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China1
Texas A&M University at Qatar, Doha, Qatar1
Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland1
Chair of Control and Systems Engineering, Poznan University of Technology, Poznan, Poland1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, 710119, P.R. China1
Computational Biomedicine Laboratory, Department of Computer Science, University of Houston, Houston, TX1
University of North Carolina at Chapel Hill, Chapel Hill, USA1
University of Illinois at Urbana Champaign, Urbana, USA1
Italian Institute of Technology, Milan, Italy1
Dept. of CSE CEC, Landran, Mohali, India1
Institute of Intelligent Vehicle, Tongji University, Shanghai, China1
Northwestern Polytechnical University, Xi’an, China1
NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium1
Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China1
Synthes GmbH, Langendorf, Switzerland1
Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany1
ImFusion GmbH, Munich, Germany1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China. E-MAIL: ydding@yc.shu.edu.cn1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China; Department of Information and Electrical Engineering, Shaoyang University, Shaoyang 422000, China. E-MAIL: huang_tongcheng@163.com1
Information and Communication Engineering, Rajshahi University1
Gippsland School of Information Technology, Monash University1
Key Lab Complex System & Intelligence Science, Institute of Automation, Chinese Academy of Science, Beijing, China1
Osaka University, 1-1 Yamada-oka, Suita, Japan1
Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan1
LIRE Laboratory, University of Constantine 2, Algeria1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Technical Reconnaissance Detachment of Public Security Bureau Lanzhou, Lanzhou, China1
School of Information Science and Technology, University of Science and Technology of China, Anhui, China1
Department of Automation, University of Science and Technology of China, Anhui, China1
Aalborg, University, Denmark1
College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China1
Philips Applied Technologies, Eindhoven, Netherlands1
Philips Research Eindhoven, Eindhoven, Netherlands1
Department of Theory and Practice in Teacher Education, University of Tennessee, Knoxville, TN 37996, USA1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA1
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4, Canada1
SAP Innovation Center Networks, Singapore1
Zuse Institute Berlin, Berlin, Germany1
Yahoo Research, New York City, NY, USA1
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada1
VIVA Research Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada1
School of mathematics and statistics, Shaoguan University, Shaoguan, China1
Department of Computing, Biometrics Research Centre, Hong Kong Polytechnic University, Hong Kong1
School of Computer Science, Nanjing, University of Science and Technology, Nanjing, China1
Bio-Computing Research Center and Key Laboratory of Network Oriented Intelligent Computation, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Department of Information Technology, Mahanakorn University of Technology, Nong Chok, Thailand1
Informatics and Telematics Institute, CERTH, Thessaloniki, Greece1
Advanced Machine Intelligence Research Laboratory, Department of Computer Engineering, Mahanakorn University of Technology, Nong Chok, Thailand1
Department of Informatics, King’s College London, London, UK1
Department of Electrical Engineering, KAIST, Korea1
Electronic R&D Center, Mando Corp., Korea1
Department of New Media, Korean German Institute of Technology, Korea1
SAIT Beijing Lab, Samsung Advanced Institute of Technology, China1
Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea1
Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
Department of Electrical Engineering, Amirkabir University of Technology, Teharan, Iran1
Dept. of Applied Mathematics, Xidian University, Xi'an, China1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, rbd@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, msb@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, kbrady@ll.mit.edu1
Lund University, Centre for Mathematical Sciences, Box 118, SE-22100, Sweden1
Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden1
Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
VDG Security B.V., Zoetermeer, The Netherlands1
Institute of Industrial Science, the University of Tokyo, Tokyo, Japan1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: tokuda@ics.nitech.ac.jp1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: nankaku@ics.nitech.ac.jp1
DST INSPIRE Fellow, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India1
Department of Mathematics, Faculty of Engineering, Lund University, Sweden and the Institute of Mathematics of the Romanian Academy1
Institute of Mathematics of the Romanian Academy and Computer Science Department, University of Toronto, ON, Canada1
B-DAT, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Salem State University, Salem, MA, USA1
Mobile Communications Department, Eurecom, Biot, France1
STARS Team, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, France1
Multimedia Laboratory, School of Computer Science and Engineering, Nanyang Technological University, Singapore1
South China Agriculture University, Dept. of Computer Science and Technology, Guangzhou, China1
University of Cambridge, UK1
Network Management Center, China Mobile Group Guangdong Co., Ltd, Shenzhen, China1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China1
School of Communication and Information Engineering Shanghai University Shanghai, China1
Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan1
Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan1
SRI International, 201 Washington Road, Princeton, NJ, USA1
LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France1
ISIR, UPMC Univ Paris 06, CNRS, Paris, France1
Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India1
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10., czuni@almos.vein.hu1
System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt1
Department of Computer Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
School of ITER, The University of Queensland, Australia1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia1
University of Maryland, College Park, 20742, USA1
University of Aberdeen1
School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China1
Department of Mathematics and Computer Science, École centrale de Lyon, Écully, France1
Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications1
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China1
Faculty of Electrical and Computer Engineering Urmia University1
Research Scholar, MPSTME, SVKM's NMIMS University, SFIT Borivalli(W) ,Mumbai 400 103, India1
MPSTME, SVKM's NMIMS University, Vile-Parle (W), Mumbai 400 056, India1
CSE dept., Green University of Bangladesh, Dhaka, Bangladesh1
CS dept., National Institute of Development, Administration, Thailand1
CSE dept., Stamford University Bangladesh, Dhaka, Bangladesh1
PLA University of Science and Technology, China1
PLA University of Science and Technology, China and State Key Lab. for Novel Software Technology, Nanjing University, China1
College of Computer and Information, Hohai University, China and Key Lab. of Image and Video Understanding for Social Safety, Nanjing University of Science & Technology, China1
Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore1
Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France1
School of Cyber Engineering, Xidian University, Xi’an, China1
Nokia Research Center, Beijing, 100084, China1
Concordia University, Electrical and Computer Engineering, Montreal, Canada1
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK; Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland1
Vols Taipei1
The Rowland Insitute at Harvard, Cambridge, MA, USA1
Instituto Tecnológico de Tijuana, Tijuana, México1
Multimedia and Vision Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK1
Department of Psychology, University of Pittsburgh and Carnegie Mellon University, USA1
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia1
RWTH Aachen University, Aachen, Germany1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
Beijing Institute of Remote Sensing Information, Beijing, China1
Department of Electrical Engineering, University of Tulsa, Tulsa, USA1
Signal Theory and Communications Department, University of Vigo, jalba@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, lpfreire@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, pcomesan@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, fperez@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, danisub@gts.tsc.uvigo.es1
School of Electronics Information Engineering, Tianjin University, Tianjin, China1
LIGM (UMR CNRS), École des Ponts ParisTech, Université Paris-Est, France1
Équipe Galen, INRIA Saclay, Île-de-France, France1
Center for Visual Computing, École Centrale Paris, France1
Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China1
School of Computer and Information Science, Southwest University, Chongqing, People’s Republic of China1
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA1
School of Electrical Engineering and Computer Science, Seoul National University, #47, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-744, Korea. phone: 82-2-880-7313; fax: 82-2-885-4459; email: chchoi@csl.snu.ac.kr1
School of Electrical Engineering and Computer Science, Seoul National University, #47, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-744, Korea. phone: 82-2-880-7313; fax: 82-2-885-4459; email: kara@ocsl.snu.ac.kr1
Universiti Kuala Lumpur, Kedah1
Department of Cognitive Science, Fujian key laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
ITEE, The University of Queensland, Australia1
Indian Institute of Science, Bangalore, India. lkrao@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. krr@ee.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. saisiva@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. jayyagnik@rishi.serc.iisc.ernet.in1
Department of Computer Science, Shandong University at Weihai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
CSEE Department, University of Missouri Kansas City, Kansas City, USA1
College of Information Engineering, Northwest A&F University, Yangling, China1
IRIT-ENSEEIHT, FRANCE1
LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France1
Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
University of California at Berkeley, Berkeley1
Department of Psychology, University of Florida, Gainesville, USA1
Department of Psychology, Ohio University, Athens, USA1
Modelling, Simulation & Gaming TNO, The Hague, The Netherlands1
Mar-Baselious Institute of Technology & Science, Kothamangalam, Kerala, India1
Mahatma Gandhi University, School of Computer Sciences, Kottayam, Kerala, India1
Oxford Brookes University and Sony Computer Entertainment, London, UK1
Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Beijing Key Laboratory of Network System and Network Culture, Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, H3G 1T7, Canada1
Department of Electrical and Computer Engineering, Concordia University, QC, Canada, H3G 1T71
Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France1
Eskisehir Osmangazi University, Meselik Kampusu, 26480, Turkey1
Dept. of Computer Science, Jinan University, Guangzhou, China, 5106321
Department of Computer Science and Engineering, Michigan State University, United States1
Computer Engineering Department, Istanbul Technical University, Turkey1
Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland1
Computer Engineering Department, Bogazici University, Istanbul, Turkey1
Computer Science and Engineering; University of California, San Diego, La Jolla, CA, USA1
Universitat Oberta de Catalunya, Barcelona, Spain1
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China1
Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France1
Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France1
Department of Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy1
Image, Video and Multimedia Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece1
Department of Computer Engineering, School of Technology and Business Studies, Dalarna University, Sweden1
The School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China1
Eindhoven University of Technology1
ViNotion, Eindhoven, The Netherlands1
Trident Microsystems, Eindhoven, the Netherlands, Eindhoven University of Technology, the Netherlands1
Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran1
University of Minnesota, Morris1
Cognitive Science, Hampshire College1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
School of Information Technology in Education, South China Normal University1
Hainan University, China1
Nissan Research Center, Silicon Valley, USA1
Tractebel Energia, São Jorge do Oeste, Brazil1
Electrical Engineering Department, Princeton University, Princeton, USA1
TAMS, Department of Informatik, University of Hamburg, Vögt-Kölln-Straße 30, 22527, Hamburg, Germany. Email: zhang@informatik.uni-hamburg.de1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: dcszb@mail.tsinghua.edu.cn1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: wdong01@mails.tsinghua.edu.cn, dcszb@mail.tsinghua.edu.cn1
College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China1
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, USA1
Department of Computer Science & Engineering, National Institute of Technology Rourkela, Odisha, India1
Institute of Engineering and Computational Mechanics, University of Stuttgart, Stuttgart, 70569, Germany1
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA1
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China1
Department of Electronic Engineering, East China Normal University, Shanghai, P.R. China1
Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, USA1
Faculty of Sciences and IT, Zarqa University, P. O. Box 2000, 13110 Jordan1
Computer Science Department, Boise State University, ID 83725, USA1
Computer Science Department, College of Computer Science, King Khaled University, Abha, Saudi Arabia1
CIS Department, Faculty of Computer and Information Technology, Jordan University of Science & Technology, Jordan1
Department of Computer Science, University of Bucharest, Bucharest, Romania1
Faculty of Math. and Computer Science, University of Bucharest, Bucharest, Romania1
Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands1
Georgia Tech, Atlanta, GA, USA1
Indian Institute of Information Technology & Management, Gwalior, India1
B. S. A. College of Engineering & Technology Mathura, India1
Washington University in St. Louis, St. Louis, USA1
Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany1
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia1
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland1
Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France1
King Abdullah University of Science and Technologh, V.C.C. Research Center, Thuwal, Saudi Arabia1
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France1
Key Laboratory of Measurement and Control for Complex System of Ministry of Education, Southeast University, Nanjing, China1
Department of Automation, Southeast University, Nanjing, China1
Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX, USA1
Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney, Australia1
Application Innovation Consultant with IBM, Taipei, Taiwan1
INSA CVL, Univ. Orléans, PRISME EA 4229, Bourges, France1
Department of Applied Math., Islamic Azad University, South Tehran Branch, Tehran, Iran1
Department of Electrical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Young Research Club, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. eackot@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. bapp0001@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. exdjiang@ntu.edu.sg1
VRVis Research Center for Virtual Reality and Visualization,n Graz, Austria, Email: gruber@vrvis.at1
Institute for Computer Graphics and Vision, Graz University of Technology, Austria, Email: bischof@icg.tu-graz.ac.at1
Institute for Computer Graphics and Vision, Graz University of Technology, Austria, Email: hgrabner@icg.tu-graz.ac.at1
Institute for Computer Graphics and Vision, Graz University of Technology, Austria, Email: thuy@icg.tu-graz.ac.at1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Electronics Engineering, Bharath University, Chennai, India1
University of Nottingham (Malaysia Campus), Malaysia1
Institute for Infocomm Research (I2R), A*STAR, Singapore1
Xidian University, Xian Shi, China1
School of Information Systems, Singapore Management University, Singapore1
Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China1
Gipsa-Lab, Saint Martin d’Heres, France1
ICA Laboratory, Grenoble, France1
Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia1
Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China1
Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
IIIT Hyderabad, 500032, A.P, India1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France1
INRIA, Montbonnot, France1
California Institute of Technology, Pasadena, USA1
Dept. of Computer Science, University of North Carolina, Chapel Hill, USA1
CSE Department, Regional Campus, Anna University, Tirunelveli, India1
Film Department ELTE University, Budapest, Hungary1
Atos Turkey, Ankara, Turkey1
Defence Research and Development Canada, Toronto, Ontario1
United States Air Force Research Laboratory, Dayton, OH1
Army Research Laboratory, Sensors and Electron Devices Directorate1
Faculty of the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China1
school of Software Engineering, Xi’an Jiaotong University, Xi’an, China1
School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China1
Institute of High Performance Computing, National University of Singapore, Singapore1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada1
Research Center of Information and Control, Dalian University of Technology, Dalian, China1
Graphics an Media Laboratory, Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
Toyota Research Institute, Ann Arbor, USA1
Mitsubishi Electric Research Laboratories, Imaging Group, Cambridge MA, 02139, USA1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Dartmouth College, Hanover, NH, USA1
Department of Electrical and Computer Engineering, and director of CyLab Biometrics Center, Carnegie Mellon University, USA1
Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA1
University of Illinois at Urbana Champaign, Urbana1
Nanyang Technological University and Advanced Digital Science Center, Singapore1
Department of Clinical Psychology and Psychotherapy, University of Hamburg, Hamburg, Germany1
State University of Sao Paulo in São Carlos, São Carlos, Brazil1
Computer Vision Laboratory, Linköping University, Sweden1
Department of Computer Science, Faculty of Automatics and Computer Science, “Politehnica” University of Bucharest, Romania1
Tsinghua University, Beijng, China1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And Technology for, Women, Nagpur, Maharashtra, India1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And, echnology for Women, Nagpur, Maharashtra, India1
Medical Psychology, Ulm University, Ulm, Germany1
University of Southern California University of Southern California, Los Angeles1
University of Southern California (USC), Los Angeles1
University of Puerto Rico Bayamon, Bayamon, Puerto Rico1
Codespring LLC, Cluj-Napoca, Romania1
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
Electrical Engineering Department, University of California, Santa Cruz, USA1
Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA1
MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science and Engineering, Center for Brain-Like Computing and Machine Intelligence, Shanghai Jiao Tong University, Shanghai, China1
University of Tokushima, Shinkura-cho, Tokushima 770-8501, Japan1
University of Konstanz, Konstanz, Germany1
Tsukuba University, Tsukuba, Japan1
Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes / CNRS, Grenoble, France1
SafranTech, Safran, Magny-les-Hameaux, France1
School of Finance and Statistics, East China Normal University, China1
Department of the Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea1
DAQRI Inc., Los Angeles, California, USA1
Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea1
University of British Columbia (Okanagan), Kelowna, BC, Canada1
Nippon Soken, Nishio, Japan1
Ascent Robotics, Tokyo, Japan1
Faculty of Information Technology, University of Moratuwa1
Department of Informatics, University of Oslo, Norway1
CERCIA, School of Computer Science, University of Birmingham, UK1
Austrian Institute of Technology, Austria1
Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
Guangdong University of Foreign Studies, Cisco School of Informatics, Guangzhou, China1
Western Kentucky University, Department of Computer Science, Bowling Green, KY, USA1
College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China1
College of Electronic and Information Engineering, Sichuan University, Chengdu, Sichuan, China1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA1
Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania1
Department of Psychology, University of Illinois at Chicago, Chicago, IL1
Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA1
Dept. Electronic Engineering, National University of Ireland, Galway1
Northwestern Polytechnical University1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom1
ETH Zurich, Switzerland; KU Leuven, Belgium. vangool@esat.kuleuven.be1
ETH Zurich, Switzerland. konrads@vision.ee.ethz.ch1
ETH Zurich, Switzerland. leibe@vision.ee.ethz.ch1
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China1
Meiji University, School of Science and Technology, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA1
Indian Institute of Information Technology, Allahabad - India 1404131
Electrical Engineering and Computer Science Department, University of Missouri, Columbia, MO, USA1
ECE Department, Union College Schenectady, NY 12308, USA1
Department of Psychology, Washington University in St Louis, St Louis, USA1
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA1
Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia1
Minneapolis, USA1
Applied Mathematics, University of Washington, Seattle, Washington United States1
UBTech Sydney Artificial Intelligence Institute, The University of Sydney, Darlington, NSW, Australia1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Kanagawa, Japan1
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa, Japan1
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong1
College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China1
Dept. of Software Engineering, ShenZhen Polytechnic, 518055,China1
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, USA1
Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, USA1
EURECOM, Route des Chappes, France1
School of Mathematical Science, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China1
Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi1
Bilgisayar Mühendisliği Bölümü, Atatürk Üniversitesi, Erzurum, Türkiye1
Department of Electrical and Computer Engineering, College of Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Department of Computer and Information Science, College of Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, USA1
Department of Electrical and Computer Engineering, University of Missouri, Columiba, MO, 65211, USA1
Dept. of Electrical Engineering, Princeton University, USA.1
Institut de Robòtica i Informàtica, Industrial (CSIC-UPC), Spain1
UMass Lowell, USA1
Artesian Insights, Houston, USA1
Texas A&M AgriLife Blackland Research and Extension Center, Temple, USA1
Department of Ecosystem Science and Management, Texas A&M University, College Station, USA1
North Acton, London1
Electrical Engineering and Computer Science, Graduate School of Science and Technology, Kumamoto University, Japan1
Electrical Engineering Department, Engineering Faculty, Mataram University, Indonesia1
Department of Informatics, ISEE, Kyushu University, Fukuoka, Japan1
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan1
The University of Western Australia Crawley, Western Australia1
Eastman Kodak, Rochester, NY, USA1
Department of ECE, University of Dayton, Dayton, OH, USA1
ODU Vision Lab, Old Dominion University, Norfolk, VA, USA1
Forensics and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore1
New Delhi, India1
MSIT, C-4 Janakpuri1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
University of Rhode Island, Kingston, USA1
Electrical Engineering Department, National Cheng Kung University, Taiwan1
ETH Zürich, Photogrammetry and Remote Sensing Group1
TU Darmstadt, Computer Science Department1
School of Mathematical Sciences, Fudan University, China1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kulim, Kedah, Malaysia1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR1
School of Computer Science and Engineering, Nanjing University of Science and Technology, Naniing, 210094, China1
Adobc Research, Adobe Systems Inc, San Jose, California, 58584, United States1
University of Oxford, United Kingdom1
University of Hail, Saudi Arabia1
College of information engineering, Sichuan Agricultural University, Yaan 625014, P.R. China1
School of Computer Science, Sichuan University, Chengdu, China, 6100651
School of Computer Science, Chengdu University of Information Technology, Chengdu, China, 6102251
INRIA Grenoble, LEAR - LJK, Montbonnot, France1
Department of Computer Science, Brown University, Providence Rhode Island, 02912, USA1
Institute of Real Time Learning Systems, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany1
Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand1
Guangdong Key Lab of Information Security, Sun Yat-Sen University, School of Data and Computer Science, Guangzhou 510006, China1
IRISA, University of Rennes 11
INRIA Rennes-Bretagne-Atlantique1
Commonwealth Scientific and Industrial Research Organization (CSIRO)1
University of Canberra, Austrlia1
Shenzhen Graduate School, Harbin Institute of Technology, 518055, China1
Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China1
Rakuten Institute of Technology, Singapore 0489461
Department of Information Technology, Delhi Technological University, Delhi, India1
Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India1
Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY1
International Institute of Information Technology, Hyderabad, Telangana, India1
School of Information Engineering, North China University of Technology, China1
Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C.1
Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.1
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
GIPSA-lab, Grenoble, France1
ACROE-ICA, Grenoble, France1
Department of Computer Science and Technology, Tsinghua University1
USC Institute for Creative Technologies, 12015 Waterfront Drive1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States1
Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan1
Department of CSE, PDPM-IIITDM, Jabalpur1
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 6375531
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China. Email: ymwen@cqu.edu.cn1
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China.1
University of Pittsburgh, PA 15260, USA1
Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore 3084331
Istituto Italiano di Tecnologia & University of Verona, Genoa & Verona, Italy1
Istituto Italiano di Tecnologia & University of Genoa, Genoa, Italy1
Istituto Italiano di Tecnologia, Genoa, Italy1
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK1
Department of Photogrammetry, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China1
Arizona State University, Phoenix, AZ, USA1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
Research Institute for Nanodevice and Bio Systems, Hiroshima University, Higashi-Hiroshima, Japan1
HiSIM Research Center, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Advanced Sciences of Matter, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
Institute of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
NICTA, Canberra Research Laboratory, Canberra, Australia1
Computer Vision Center, Campus UAB, 08193, Bellaterra, Spain1
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Electrical and Information Engineering, University of Perugia, Perugia, Italy1
Department of Computer Science, University of Western Ontario, London, Canada1
School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, College of Computer Science, Sichuan University Chengdu, China1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523, USA1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. msavvid@ri.cmu.edu1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. rbhagava@andrew.cmu.edu1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Research Science, Facebook, United States1
Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal1
Imperial College, London, England1
Kingston University, Kingston upon Thames, England1
Anhui University, HeFei, China and Chinese Academy of Sciences, Beijing, China1
Department of Information Management, Yuan Ze University, Taoyuan, China1
Université Lyon 1, Villeurbanne-Cedex, France1
University of Pittsburgh, USA1
Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa1
Department of Computer Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Kiwi Technology Inc., Nanjing, China1
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China1
University at Buffalo, The State University of New York, Buffalo, NY, USA1
Department of Geography Information Science, Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China1
National Cheng-Kung University, Tainan, Taiwan Roc1
VCC SIAT Shenzhen & University of Konstanz, Konstanz, Germany1
Nanyang Technological University, Centre for Multimedia and Network Technology (CeMNet), School of Computer Engineering, Singapore1
Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye1
Department of Pediatrics, Maxima Medical Center Veldhoven, The Netherlands1
The State Key Laboratory of Integrated Services Networks (ISN), Xidian University, Xi’an, China1
Department of Electronic and Engineering, Xidian University, Xi’an, China1
School of Information Science and Engineering, YanShan University, Qinhuangdao, China1
Graduate School of Information, Production and System, Waseda University, Tokyo, Japan1
Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Technology School of Navigation, Wuhan University of Technology, Wuhan, People’s Republic of China1
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, People’s Republic of China1
Institute for Deep Learning, Baidu, Sunnyvale, CA, USA1
Aalborg University1
Microsoft Advanced Technology Center, Beijing, China1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy1
Cadres Online Learning Institute of Yunnan Province, Yunnan Open University, Kunming, China1
National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
VTT Technical Research Centre of Finland, Oulu, Finland1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
College of Engineering, Huazhong Agricultural University, Wuhan P.R. China 4300701
School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea1
Department of Computer Science, University of Kiel, Kiel, Germany1
Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany1
Department of Mathematics and Computer Science, University of Münster, Münster, Germany1
Queensland Parks and Wildlife Service, Australia1
Army Research Office, RTP, Raliegh, NC, United States of America1
Intel Corporation & Portland State University, Hillsboro, OR, USA1
Synergy Innovation Center, Communication University of China1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
School of Data and Computer Science, Sun Yat-sen University1
University of Piraeus, Dept. of Digital Systems, Grigoriou Lambraki, Piraeus, Greece1
Shaanxi Normal University, Xi’an, China1
School of Computer Science and Engineering, Center for Cyber Security, University of Electronic Science and Technology of China, Chengdu, China1
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Yahoo! Research, Sunnyvale, CA, USA1
Yahoo! Research, San Francisco, CA, USA1
National Technical University of Athens & Yahoo! Research, Athens, Greece1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
Intel Science and Technology Center on Pervasive Computing, Seattle, WA 98195, USA1
The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA1
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA1
ABB Corporate Research China, Shanghai, China1
Max Planck Institute for Intelligent Systems, Perceiving Systems Department, 72076 Tübingen, Germany1
Department of Computer Science, Memorial University of Newfoundland, St. John’s, Canada1
Computer Science Department, Carnegie Mellon University. tk@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. epxing@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. gu@cs.cmu.edu1
LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France1
NVIDIA Research, New York, NY, USA1
The Graduate Center, CUNY, New York, NY, USA1
IASRG Lab, 4th Floor, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia1
Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea1
Image Understanding and Knowledge-Based Systems Group, Technische Universität München, Garching, Germany1
Microsoft Research, Beijing 100080, China1
LITIV, Polytechnique Montréal, Montréal, Canada1
School of Journalism and Communication, South China University of Technology, Guangzhou, China1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA1
Air Force Research Lab, Rome, USA1
Department of Chemical Equipment and Control Engineering, China University of Petroleum, Qingdao, China1
Dept. of Electronics Engineering, Erciyes University, Kayseri, Turkiye1
TÜBİTAK-National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkiye1
Universités Nice Sophia Antipolis, UMR 7271, I3S, F-06900, France1
University of Waterloo, Vision and Image Processing (VIP) Lab, Ontario, Canada1
Disney Research, Pittsburgh, PA, USA, 152131
Corporate Innovation OSRAM GmbH1
College of Automation, Harbin Engineering University, Harbin, China1
School of Software and Microelectronic, Northwestern Polytechnical University, Xi’an, China1
School of Geosciences, China University of Petroleum, Qingdao, China1
The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies, Guangzhou, China1
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK1
Universite de Rennes 1, Rennes, France1
École de Technologie Supérieure, Montréal, Canada1
Technical University of Munich, Garching, Germany1
Technical University Munich, Munich, Germany1
Ecole de Technologie Superieure, Montreal, Canada1
German Cancer Research Center, Heidelberg, Germany1
Sunnybrook Health Science Centre, Toronto, Canada1
University of Leeds, Leeds, UK1
Electrical Engineering and Computer Science, University of California at Merced, California, USA1
Technische Universitt Darmstadt, Computer Systems Group, Darmstadt, Germany1
Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Madrid, Spain1
FRAV, University Rey Juan Carlos, Móstoles, Spain1
Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Mexico, Mexico1
Graduate University of Chinese Academy of Sciences, Beijing, Chine1
IBM Research T. J. Watson Center, U.S.A1
Math Dept, Faculty of Science, Helwan University, Cairo, Egypt1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
LaBRI, CNRS, UMR 5800, F-33400 Talence, France1
Bournemouth University, Poole, UK1
Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China1
Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain1
Department of Computer Science, Faculty of Education-Shabwa, University of Aden, Aden, Yemen1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Queen Mary University of London (United Kingdom)1
School of Automation, Guangdong University of Technology, Guangzhou, 510006, China1
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518055, China1
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, China1
LG Electronics, Inc., South Korea1
School of Information Technology and Engineering, VIT University, Vellore, India1
Fundamental and Applied Science Department, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia1
Hewlett-Packard Labs, Palo Alto, CA, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China1
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy1
Department of Electrical and Computer Engineering, University of Toronto, Canada1
Naresuan University, Thailand1
BME, Tampere University of Technology, Tampere, Finland1
DEI, University of Padua, Padua, Italy1
Friedrich-Schiller-Universität Jena, Germany1
Robert Bosch Car Multimedia GmbH, Hildesheim, Germany1
Department of Computer Science, Xiamen University, Xiamen, China1
Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Department of Information Management, College of Management, National United University, Miaoli, Taiwan1
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Rochester Institute of Technology, Rochester, NY, USA1
Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt1
University of Nottingham at Ningbo, China1
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Al Riyadh, KSA1
Google, Duke University, NC, USA1
School of Mathematical Sciences, Liaocheng University1
Department of Statistics, University of California at Berkeley, Berkeley, USA1
International Computer Science Institute, University of California at Berkeley, Berkeley, USA1
Computer Science Department, Rensselaer Polytechnic Institute, Troy, USA1
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China1
Departement of Creative Multimedia Technology, Electronic Engineering Polytechnic, Institute of Surabaya (EEPIS), Surabaya, East Java1
Departement of Information and Computer Engineering, Electronic Engineering Polytechnic, Institute of Surabaya (EEPIS), Surabaya, East Java1
Informatics and Computer Departments, Electronic Engineering Polytechnic, Institute of Surabaya, Surabaya, Indonesia1
Anhui University & Chinese Academy of Sciences, Hefei, China1
Department of Computer Science and Engineering, Chinese University of Hong Kong, China1
Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology1
Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada1
ISEN Lille, Yncrea Hauts-de-France, France1
IMT Lille Douai, Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France1
Electrical and Computer Engineering, The Ohio State University1
U.S. Naval Research Laboratory, Washington DC, USA1
U.S. Naval Research Laboratory, Washington, DC 20375, USA1
Mixed Reality Laboratory, University of Nottingham, Nottingham, U.K.1
Nokia Research Center Hollywood,1
Microsoft Research,1
Computer Science and Artificial Intelligence Laboratory, MIT,1
Computer Graphics Laboratory, Department of Informatics & Telecommunications, University of Athens, Athens, Greece1
Walt Disney Imagineering, USA1
Dept. of ECE, College of Engineering, Northeastern University, Boston, USA1
Australian Centre for Visual Technologies, University of Adelaide, Adelaide, Australia1
Signals and Systems Group, Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands1
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Vietnam National University of Agriculture1
The Technion–Israel Institute of Technology, Haifa1
The Open University of Israel, Raanana1
Weizmann Institute of Science, Rehovot1
University of Chile, Chile1
Charles University in Prague, Czech Republic1
Tsinghua University, Beijing1
U.S. Army Research Lab, Adelphi1
University Of Maryland, College Park1
AEBC, Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore1
Universitat de Barcelona - CVC, Spain1
Chalearn, Berkeley, California, USA1
INAOE, Mexico1
Universitat Oberta de Catalunya - CVC, Spain1
Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria1
The University of North Carolina at Charlotte, Charlotte, USA1
SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp1
Computer Science Department, Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org1
Key Laboratory of Information Security and Intelligent Control of Shandong Province, Shandong Youth University of Political Science, Jinan, China1
Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia1
OR1
CMU, USA1
National Engineering Research Center for E-Learning, HuaZhong Normal University, Wuhan 430079, China1
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China1
University of Guelph, Guelph, Ontario, Canada1
School of Engineering, University of Guelph, Guelph, N1G2W1 Ontario, Canada1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
Chair of Signals and Systems, Department of EEMCS, University of Twente, Twente, The Netherlands1
AISIN AW Co., Ltd., Aichi, Japan1
OxCNL, University of Oxford, Oxford, U.K.1
Korea Electronics Technology Institute, Bundang-gu, Seongnam-si, Republic of Korea1
Inst. de Telecomunicações, Fac. de Ciências da Universidade do Porto, Porto, Portugal1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA1
Institute of Mathematical Science, University of Malaya1
UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia1
Universiti Tunku Abdul Rahman1
Science and Technology on Communication Information Security Control Laboratory, Jiangnan Electronic Communication Institute, Jiaxing, China1
Zhejiang Future Technology Institute, Jiaxing, China1
Department of Computer Science & Engineering, P.A. College of Engineering, Mangalore, Karnataka, India1
University of Michigan-Ann Arbor, United States1
Research Center for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi, Japan1
Department of Informatics 8 Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece1
ZTE Corporation, Shenzhen, China1
School of Computer Software, Nanjing University of Information Science and Technology, Nanjing, China1
Huazhong Institute of Electro-Optics-Wuhan National, Laboratory for Optoelectronicsm 430074, China1
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430074, China1
Enjoyor Co., Ltd, Hangzhou, China1
College of Mathematics and Statistics, Shenzhen Key Laboratory of Media Security, Shenzhen University, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong1
Institute of Engineering and Management, Kolkata, India1
Siemens Corporate Technology, Munich, Germany1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China1
School of Information and Computer Science, Aalto University, Aalto, Finland1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, People's Republic of China1
P.G Demidov Yaroslavl State University, Artificial Intelligence Center, Yaroslavl, Russian Federation1
Simon Fraser University, Vancouver, BC, Canada1
Zhejiang University of Media and Communications, Hangzhou, Zhejiang, China1
Simon Fraser University, Surry, BC, Canada1
International Computer Science Institute, Berkeley, USA1
Department of Electronic/Electrical Engineering, Loughborough University, Loughborough, UK. L.Chen@lboro.ac.uk1
College of IT Engineering, Kyungpook National University, Daegu, 702-701, Korea1
BioMediTech, University of Tampere, Finland1
Tampere University of Technology, Pori, Finland1
Instituto de Computação, Universidade Federal Fluminense, São Domingos, 24210-240 Niterói-RJ, Brazil1
Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland1
Northwestern Polytechnic University, Xi’an, China1
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, H.P-175001, India1
Department of Electrical and Electronics Engineering, University of Jaffna, Sri Lanka1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Electrical and Computer Engineering,. North South University, Bashundhara, Dhaka, Bangladesh1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
Polish-Japanese Institute of Information Technology, Warszawa, Poland1
Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Warsaw, Poland1
AGH University of Science and Technology, Kraków, Poland1
Polish-Japanese Institute of Information Technology, Warsaw, Poland1
Department of Computer Science, Cornell University, Ithaca, NY, USA1
IBM T.J. Watson Research Center, Hawthorne1
Microsoft Live Labs Research, Redmond1
Carnegie Mellon University, Pittsburgh1
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany1
Silent Talker Ltd1
George Mason University, USA1
Embedded Systems Research Group, Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand1
K.U.Leuven-ESAT-Psi, Belgium1
Electronics Research Institute, Sharif University of Technology, Tehran, Iran1
Adobe Systems Inc. &, University of Washington, USA1
Dept. of Elec. Eng., Port Said University, Egypt1
Max Planck Instutite for Intelligent Systems, Tüebingen1
Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: christophe.garcia@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: franck.mamalet@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: sebastien.roux@orange-ftgroup.com1
Maharshi Dayanand University, Rohtak, Haryana, India1
Computer Vision Group, Department of Informatics, University of Hamburg, Hamburg, Germany1
Institute of Computer Science VI, University of Bonn, Bonn, Germany1
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea1
Yahoo! Labs Bangalore1
Institut Pascal, Université Blaise Pascal/CNRS, Clermont-Ferrand, France1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. N.Poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. J.Kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. O.Fatukasi@surrey.ac.uk1
Dep. Inteligencia Artificial, Universidad Politécnica de Madrid, Spain1
Dep. Ciencias de la Computación, Universidad Rey Juan Carlos, Spain1
Department of Computer Science, Fudan University, China1
School of Information and Communication Technology, Griffith University, QLD, Australia1
School of Information Technology and Electrical Engineering, The University of Queensland, QLD, Australia1
Department of Computer Science, University of Sherbrooke, Sherbrooke, Canada1
Department of Computing, Macquarie University, NSW, Australia1
School of Computer Science and Engineering, The University of New South Wales, NSW, Australia1
Dipartimento di Ingegneria Enzo Ferrari-University of Modena and Reggio Emilia, Modena, Italy1
School of Electronic Science and Engineering, National University of Defense Technology, China1
School of Software Engineering, East China Normal University, China1
Department of Electrical and Computer Engineering, University of Louisville, USA1
FernUniversität , Hagen, Germany1
Universidad Tecnica Federico Santa Maria , Valparaiso, Chile1
Staffordshire University , Staffordshire, United Kingdom1
Department of Digital Media Technology, Huanggang Normal University, China1
Robotics Institute, Shanghai Jiao Tong University, Shanghai, China1
Valeo Vision Systems, Ireland1
Columbia University, United States1
Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan1
Department of Electronics, AGH University of Science and Technology, Krakow, Poland1
Department of Computer Science, AGH University of Science and Technology, Krakow, Poland1
ENSTA ParisTech, 32 Blvd Victor, 70539 Paris Cedex 151
INESC-ID and IST/UTL, Lisboa, Portugal1
IT and IST/UTL, Lisboa, Portugal1
INESC-ID, Lisboa, Portugal1
Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India1
Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea1
Shanghai Key Lab of Intel. Info. Processing, School of Computer Science, Fudan University, China1
Faculty of Electrical Engineering, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China1
National ICT Australia, Canberra1
Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran1
Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China1
State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China1
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China1
Department of Mathematics and the State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China1
Department of Mathematics, Zhejiang University, Hangzhou, China1
Institute of Informatics and Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
School of Mathematics, University of Manchester, Manchester, U.K.1
Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: king@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: lyu@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: jkzhu@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: hbdeng@cse.cuhk.edu.hk1
Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India1
Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK1
School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, China1
College of Electronics and Information, Xi’an Polytechnic University, Xi’an, China1
School of Information, Central University of Finance and Economics (CUFE), Beijing, China1
Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
Department of Information Engineering and Computer Science, Feng Chia University, Taiwan1
School of Electronic Science and Engineering, National ASIC Research and Engineering Center, Southeast University, Nanjing, China1
Electronics and Telecommunications Research Institute (ETRI), Republic of Korea1
Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan1
School of Software Engineering, Ministry of Education Key Laboratory, Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, People’s Republic of China1
College of Computer Science, Chongqing University, Chongqing, People’s Republic of China1
University of Central Florida, Orlando, USA1
Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, USA1
Faculty member of Department of Computer Engineering, Sheikh Bahaei University, Isfahan, Iran1
Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran1
Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China1
Center for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada1
University of Tokyo and JST ERATO1
School of Design, Hunan University, Changsha, China1
Computer Science and Engineering, POSTECH, Pohang, 790-784, South Korea1
Information and Communication Engineering, DGIST, Daegu, South Korea1
Electronic Engineering and Computer Science, University of Michigan, Ann Arbor, United States1
Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China1
School of Mathematics and Statistics, The University of Western Australia, Nedlands, WA, Australia1
Department of Computer Science and Engineering, Qatar University, Doha, Qatar1
Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China1
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China1
Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, China1
School of Computer Information and Engineering, Beijing Technology and Business University, Beijing, China1
L. D. College of Engineering, India1
College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China1
Engineering and Technology College, Sichuan Open University, Chengdu, China1
Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science, University College London, London, U.K.1
Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain1
CMLA, ENS Cachan, 61 Av. du Président Wilson, 94235 Cachan CEDEX, France1
Department of Mechanical Engineering, Istanbul Technical University, Beyoglu, Istanbul, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, Maslak, Istanbul, Turkey1
Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China1
Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
Communication System Engineering, Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
VNU University of Science, Vietnam National University, Hanoi, Vietnam1
University of Information and Communication Technology, Thai Nguyen University, Quyet Thang, Thai Nguyen City, Vietnam1
Information Science Department, Center for Information Science and Technology Computer, Temple University, Philadelphia, USA1
Department of Electronics Engineering and Computer Science, Tung-Fang Design University, Kaohsiung County, Taiwan1
Electrical Engineering Department, Bu-Ali Sina University. Hamedan, Iran1
Autism Clinic for Translational Research, Brain & Mind Research Institute, Central Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia1
iMinds Krook.LAB, Ghent, Belgium1
Electronics and Information Systems Department, Ghent University - iMinds, Ghent, Belgium1
Modeling of Systems And Internet Communication, University of Antwerp - iMinds, Antwerp, Belgium1
Department of Information Technology - IBCN, Ghent University - iMinds, Ghent, Belgium1
Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland1
Department of Computer Engineering, Yeungnam University, Korea1
School of Computer Science and Information Technology, RMIT University, Melbourne, 3001, Australia1
Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India1
Université Laval, Québec, Canada1
McGill University, Montreal, Canada1
Université de Rennes 1, Rennes, France1
Ulm University of Applied Sciences, Ulm, Germany1
DKFZ, Heidelberg, Germany1
Université de Sherbrooke, Sherbrooke, Canada1
SmartPeep, Masai, Malaysia1
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan1
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, P. R. China1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, China1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Dept. of Information Engineering, Faculty of Engineering, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan, +81 25 262 74991
Graduate School at Shenzhen, Tsinghua University, China1
Signal Processing Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland1
Department of Medicine, University of British, Columbia, Canada1
School of Engineering of São Carlos, USP, São Carlos, Brazil1
College of Information Engineering and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China1
NTNU, Norway1
Toyota Technological Institute at Chicago, 1427 E. 60th Street, IL 60637, USA1
LEAR, INRIA Grenoble Rhône-Alpes1
Digital Media Institute, Hunan University, Changsha, 410082 P.R. China1
College of information science and engineering, Hunan University, Changsha, 410082 P.R. China1
Department of Electric and Electronic Engineering, Avrasya University, Trabzon, Turkey1
Department of Electric and Electronic Engineering, Selçuk University, Konya, Turkey1
BIWI, ETH Zürich and MPI Informatik, Switzerland1
Electrical Engineering Department, University of Azad Jammu and Kashmir, Muzaffarabad (AJK), Pakistan1
Electrical (Power) Engineering Department, Mirpur University of Science and Technology, (AJK), Pakistan1
Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey1
Department of Electrical and Electronics Engineering, TED University, Cankaya, Ankara, Turkey1
LMU Munich, Germany and Munich University of Applied Sciences, Germany1
Department of IT Sree Vidyanikethan Engineering College Tirupati, India1
Department of ECE, NEC, Narasaraopet, India1
Department of ECE Anurag Group of Institutions, Hyderabad, India1
Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India1
Yonsei University, South Korea1
ACM Professional Specialist in Artificial Intelligence1
Université du Quebec a Rimouski (UQAR)1
Autonomous University of Madrid, Madrid, Spain1
Department of Statistics and Computer Science, Los Angeles, CA1
Department of Statistics, University of California at Los Angeles, Los Angeles, CA1
Electrical and Electronics Engineering, Nanyang Technological University, exdjiang@ntu.edu.sg1
IT Service, University of Reading, Reading, United Kingdom, RG6 6AY1
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China, 3002041
Department of Computer Engineering, Punjabi University, Patiala, India1
Computer Science & Engineering, UIET, Chandigarh, India1
Department of Informatics, Universidade Federal do Paraná, Brazil1
Cornell Tech1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China1
Edward S. Rogers, Sr. Department of Electrical and computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada1
First Research Institute of the Ministry of Public Security of People’s Republic of China, Beijing, China1
Department of Electrical and Computer Engineering, Nanyang Technological University, Singapore1
Advanced Digital Science Center, Singapore1
Lancaster University, Lancaster, United Kingdom1
System Engineering Research Group, ARKADIUS, Universidad de Medellin, Colombia1
Universidad Nacional de San Juan, Argentina1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China1
Bilgisayar Mühendisliği Bölümü, İstanbul Üniversitesi, Turkey1
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey1
School of EEE, NTU, Singapore1
I2R, A*STAR, Singapore1
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur. Malaysia1
Faculty of Information Technology, Multimedia University, Selangor Darul Ehsan. Malaysia1
Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada1
TUBITAK - UZAY, Ankara, Turkey1
Cairo University, Biomedical Engineering, Cairo, Egypt1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
German Research Center for Artificial Intelligence (DFKI), University of Kaiserslautern, Kaiserslautern, Germany1
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China1
School of Information Science & Technology, Jiujiang University, Jiujiang, China1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
University College London, UK1
School of Information Science and Engineering, Yunnan University, Kunming, China1
Digital Signal Processing Research Lab, Department of Electrical Engineering, Isfahan University of Technology, Iran1
Islamic Azad University of Najaf Abad, Isfahan, Iran1
Kielce University of Technology, Kielce, Poland1
Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy1
Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China, Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University, Ministry of Education Guangzhou, China1
Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China1
Universität Bielefeld, Bielefeld, Germany1
INRIA Grenoble Rhône-Alpes, Montobonnot, France1
Department of Computer Science, South Tehran Branch, Islamic Azad University, Tehran, Iran1
Institut de Robòtica i Informàtica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Catchoom, Barcelona, Spain1
Free University of Bozen-Bolzano, Bolzano, Italy1
Division of Mechanical Convergence Engineering, Silla University, Busan, 46958, Korea1
Ternopil National Economic University1
New Jersey Institute of Technology, University Heights, Newark, USA1
National Institute of Informatics, Chiyoda-ku, Japan1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. senjian@cs.curtin.edu.au1
Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, Hangzhou, China1
Faculty of Science, Informatics Institute, Intelligent Robotics Lab, University of Amsterdam, Amsterdam, The Netherlands1
School of Computing Science, Computer Science Department, Carnegie Mellon University, Pittsburgh, USA1
Computer Science Institute VI: Autonomous Intelligent Systems, University Bonn, Bonn, Germany1
Shenzhen Key Laboratory of Media Security, College of Mathematics and Statistics, Shenzhen University, Shenzhen, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
NYU, USA1
BYU, USA1
Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan1
Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan1
Department of Computer Sciences, Thompson Rivers University, Kamloops, BC, Canada1
Los Alamos National Laboratory and University Of Washington1
Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal1
Technical University of Lisbon, Lisbon, Portugal1
Institue for Information Technology, National Research Councilof Canada, NB, Moncton, E1A 7R11
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA1
Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia1
Centre of Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy1
Division of Psychology and Language Sciences, University College of London, London, UK1
Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Caserta, Italy1
GIPSA-Laboratory, Université Grenoble Alpes, Grenoble, France1
Faculty of Information Technology, Vietnam Maritime University, Haiphong, Vietnam1
Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, The State University of New York at Binghamton, Binghamton , NY, USA1
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China1
Department of Electrical Engineering, Chang Gung University, Taipei, Taiwan1
School of Information Technology, Monash University Malaysia, Bandar Sunway, Malaysia1
College of Engineering, Huaqiao University, Fujian, China1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: tu@research.ge.com1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: liux@research.ge.com1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: wheeler@research.ge.com1
Computer Science Department, University of Maryland, College Park, USA1
Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China1
Digital Media Art Department, Sichuan Film and Television University, Chengdu, China1
Business School of Sichuan University, Chengdu, China1
School of Electrical Engineering, Queen Mary University of London, UK1
Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France1
Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India1
Multimedia and Information Security Lab, ABV-Indian Institute of Information Technology and Management, Gwalior, India1
University of Oxford, Cambridge, UK1
Microsoft Research Cambridge, Oxford OX, UK1
University of Oxford and Nankai University, Nankai, Tianjin, China1
State Key Laboratory of Tribology Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China1
Key Laboratory of Ministry of Education for Optic Fiber Sensing Technology and Information Processing, Wuhan University of Technology, Wuhan, Hubei Province, China1
Department of Electrical and Computer Engineering and the Center for Automation Research, University of Maryland, College Park, MD, USA1
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye1
Department of Computer Science, University of Beira Interior Rua Marquês de Ávila e Bolama, 6201-001 Covilhã, Portugal1
LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France1
CSE Department, College of Engineering, Qatar University, Doha, Qatar1
Department of Electrical Engineering, University of Windsor, Ontario, Canada1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece1
The Allen Institute for AI, 2157 N Northlake Way Suite 110, Seattle, WA 98103, United States1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. sabah.jassim@buckingham.ac.uk1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. harin.sellahewa@buckingham.ac.uk1
University of California at Los Angeles, Los Angeles1
NARI Group Corporation, Nanjing, China1
Technion, Israel Institute of Technology, Haifa1
Yahoo! Research, Haifa1
Alibaba Group, Zhejiang, People’s Republic of China1
Computer Science, Arizona State University, Tempe, USA1
DIMACS CORE, Rutgers Univ., Piscataway, NJ, USA1
School of Information Science and Engineering, Shenyang University of Technology, China1
Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan1
LIRIS, INSA-Lyon, CNRS, UMR5205, University of Lyon, Lyon, France1
REGIM-Lab, ENIS, University of Sfax, Sfax, Tunisia1
School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China1
SONY Electronics Inc., San Jose, CA, 95112, USA1
UC Berkeley/ICSI, California, United States1
UC Davis, 1 Shields Ave, Davis, CA 95616, United States1
An Independent Researcher1
Florida Institute of Technology1
Institute of Public Administration, Riyadh, Saudi Arabia1
Department of Computer Science, Ocean University of China, Qingdao, China1
Center for Imaging Sciences, The University of Manchester, Manchester, UK1
Department of Electronic Engineering, Ocean University of China, Qingdao, China1
Chung-Ang University, Computer Science and Engineering Dpt., Korea1
Research and Academic Computer Network (NASK), Biometrics Laboratory, Poland1
Department of Computational and Applied Mathematics, Rice University, Houston, USA1
University of Rochester, Rochester, USA1
Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Portugal1
Intelligent Vision Research Lab, Federal University of Bahia, Brazil1
College of Mathematics and Computational Science, Shenzhen University, China, 5180601
University of Sfax, CES Laboratory, Tunisia1
University of Burgundy, Le2i, BP 47870 21078 Dijon, France; University of Sfax, CES Laboratory, Tunisia1
University of Oslo, Oslo, Norway1
School of Information Engineering, Guangdong University of Technology, Guangzhou, China1
K.U. Leuven, ESAT-PSI, Leuven, Belgium1
University of Reading, UK1
Computer Science &Engg., School of Computer Science & IT DAVV, Indore, India1
Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK1
Visual Information Laboratory, Department of Computer Science, University of Bristol, Bristol, UK1
Texas A&M University, college station, TX, USA1
Texas A&M Univerisity, College Station, TX, USA1
Texas A&M University, College Station, TX, USA1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, China1
OFFIS - Institute for Information Technology, Oldenburg, Lower-Saxony, Germany1
Dormity.com®, Sant Cugat del Vallès, Spain1
Servei Universitari de Recerca en Fisioteràpia (S.U.R.F), Escola Universitària Gimbernat, Sant Cugat del Vallès, Spain1
HERE Technologies, 425 W Randolph St, Chicago, Illinois, 60606, USA1
School of Advanced Technology and Science, Tokushima University, Tokushima, 770-8501, Japan1
NOAA /NGDC, 325 Broadway, Boulder, CO 80305, USA1
Microsoft Research, Redmond, United States1
Division of Computing Science & Maths, School of Natural Sciences, University of Stirling, Stirling, UK1
Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China1
College of Information Science and Engineering, Henan University of Science and Technology, Luoyang, China1
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China1
Department of Computer Science, University of Auckland, Auckland, New Zealand1
Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan1
Masaryk University , Brno, Czech Republic1
Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany1
Institute Integriert Studieren, Universität Linz, Linz, Austria1
Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA1
Department of Computer Science, Southern Illinois University, Carbondale, IL, USA1
Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montréal, QC, Canada1
BARC, Mumbai, India1
Carnegie Mellon University, Pittsburgh, Pa., USA1
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China1
The Key Laboratory of Embedded Systems and Service, Tongji University, Shanghai 200092, China1
Dept. of Electronics Engineering, Sangmyung University, Seoul, Korea1
Dept. of Copyright Protection, Sangmyung University, Seoul, Korea1
Video Processing and Understanding Lab, Universidad Autonoma de Madrid, Spain1
Shu-Te University, 59 Hengshan Rd., Yanchao Dist., Kaohsiung 824, Taiwan, (886)7-6158000#46261
National Penghu University of Science and Technology, 300 Liu-Ho Rd., Makung, Penghu, 880, Taiwan, (886)6-9264115#35011
Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea1
College of Computer Science and Electronic Engineering, Hunan Key Laboratory of Dependable Systems and Network, Hunan University, Changsha, People’s Republic of China1
Istanbul Technical University, Turkey1
IOC Research Institute, Universitat Politècnica de Catalunya, Barcelona, Spain1
Sukhoi State Technical University of Gomel, Gomel, Belarus1
Joint Institute for Nuclear Research, Dubna, Moscow oblast, Russia1
Institute of Computer Engineering, University of Lübeck, Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Modena, Italia1
University of Minnesota, Minneapolis, USA1
Forensic and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Key Laboratory of System Controal and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Department of Electrical Engineering, University of Petroleum (East China), Shandong, China1
TuSimple1
HRL Laboratories, LLC, Malibu, USA1
Department of EECS, University of California, Berkeley, USA1
Department of ECE, University of Illinois at Urbana-Champaign, Coordinate Science Laboratory, Urbana, USA1
Centre for Signal Processing, Department of EIE, The Hong Kong, Polytechnic University1
School of Informatics, The University of Edinburgh 11 Crichton Street, Edinburgh, EH8 9LE, United Kingdom1
School of Computer Science and Engineering, VIT University, Tamilnadu, India1
School of Information and Technology Engineering, VIT University, Tamilnadu, India1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK1
Graduate School, Xi'an University of Technology, China1
Faculty of Computer Science and Engineering, Xi'an University of Technology, China1
CEDRIC-Conservatoire National des Arts et Métiers, Paris, France1
USTECH(Beijing) Technology Co. Ltd., China1
Department of Fundamental Research, PLA Army Engineering University, China1
PLA Army Engineering University, College of Communication Engineering, China1
EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bicêtre, France1
L3i Laboratory, Université de La Rochelle, La Rochelle cedex 1, France1
Computer Vision Center, Departamento de Ciències de la Computació, Edifici O, Universitat Autònoma de Barcelona, Barcelona, Spain1
Department of Information Network Technology, Hsiuping Institute of Technology, No. 11, Gongye Rd., Taichung, 412, Taiwan1
Advanced Digital Sciences Center at University of Illinois, Singapore / Nanyang Technological University, Singapore1
Bilgisayar Müh. Bölümü, Orta Doğu Teknik Üniversitesi, Turkey1
Department of Informatics, Aristotle University of Thessaloniki, costas@aiia.csd.auth.gr1
Department of Informatics, Aristotle University of Thessaloniki, galba@aiia.csd.auth.gr1
LIAMA, French National Institute for Research in Computer Science and Control, Paris, France1
Intel Laboratory China, Beijing, China1
School of electrical and information engineering, Shandong University At Weihai, China1
School of Electronic and Electrical Engineering, Yonsei University, Seoul, South Korea1
Faculty of Information Science and Technology, Multimedia University, Malaysia1
School of Computing, National University of Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, 150080 China1
City University, Kowloon Tong, Hong Kong1
Radboud University, EC Nijmegen, The Netherlands1
TNO, Oude Waalsdorperweg, AK The Hague, The Netherlands1
Liaocheng University, Liaocheng, China1
School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China1
Fraunhofer FKIE, Wachtberg, Germany1
Institute of Computer Science III, University of Bonn, Bonn, Germany1
Dept. of Comp. Eng. Fac. of Eng., Gazi University Ankara, Turkey1
DAIS, University of Venice, Italy1
German Aerospace Center (DLR), Germany1
Computer Science Depart., Rochester University, USA1
Computer Science Depart., Cornell University, USA1
College of Communication and Information Engineering, Xi'an University of Science and Technology, China1
Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Hunan University of Humanities, Science and Technology, China1
Changzhou University, Changzhou, China1
High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China1
Department of Engineering Technology; University of North Texas1
Department of Computer Science and Engineering; University of North Texas1
Concordia Institute for Information Systems Engineering (CIISE), 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
Dept. of Computer Science and Software Engineering, Concordia University, 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
School of Engineering and Advanced Technology, Massey University1
Department of Electronic Computer Engineering, Hong Kong University of Science Technology1
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Research Center for Information Technology Innovation (CITI) and Institute of Information Science (IIS), Academia Sinica, Taipei, Taiwan1
Microsoft, Inc., Seattle, WA, USA1
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan1
School of Engineering, The University of Edinburgh, Edinburgh, U.K.1
College of Software and Communication Engineering, Xiangnan University, Chenzhou, China1
Department of Computer and Radio Communications Engineering, Korea University, Seoul, Republic of Korea1
School of Information Engineering, Henan University of Science and Technology, Luoyang, China1
LIG, CNRS, Grenoble, Cedex1
LIGM (UMR 8049), École des Ponts, UPE, Champs-sur-Marne, France1
Faculty of Information Technology, Macau University of Science and Technology, Macau1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong1
University of Tours, France1
Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa1
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York1
Institute for Transportation, Iowa State University, Ames, Iowa1
RMIT University, Vietnam1
Tolendata Singapore R&D Centre Private Limited, Singapore1
College of Computer Science & Software Engineering, Shenzhen University, China 5180601
School of Computer Science and Engineering, University of Science and Technology Liaoning, Anshan, China1
Beihai Yinhe Industry Investment Co., Ltd., China1
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom1
Department of Computer Science, University College London, Gower Street, London WC1E 6BT, United Kingdom1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
School of Software Engineering, Xi'an Jiaotong University, Xi'an, P.R.China1
Stanford University and Coursera1
Black Cat Science Inc., Boston, MA 02467, United States of America1
Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America1
Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America1
Siemens Molecular Imaging Ltd, Oxford, UK1
Mirada Medical Ltd, Oxford, UK1
Department of Engineering Science, University of Oxford, Oxford, UK1
Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, China1
Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Electronics and Computer Engineering, Korea University, Seoul, Korea1
Information Strategy Office, Nagoya University, Furo-cho, Chikusa-ku, Nagoya-shi, Aichi, Japan1
China University of Mining and Technology, China1
NAOC, Chinese Academy of Sciences, China1
ROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Reallusion Corporation1
National Taiwan Normal University1
Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
Computer Enginering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
The University of Tokyo, Bunkyo, Tokyo, Japan1
Keio University, Yokohama City, Japan1
National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan1
Computer Engineering Department, University at Albany, State University of New York, Albany, USA1
Computer Science Department, University at Albany, State University of New York, Albany, USA1
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Korea1
University of Technology Sydney, Broadway, Australia1
Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan1
Research Center for Institute of Information Science, Academia Sinica, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University1
Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA1
Open University of Israel, Ra’anana, Israel1
Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China1
Robotics Program, KAIST, Daejeon, Republic of Korea1
College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China1
Multimedia Communications Laboratory at University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam1
Department of Statistics, Carnegie Mellon University, Pittsburgh, USA1
Department of Communications and Networking (COMNET), Ambient Intelligence Group, Aalto University, Aalto, Finland1
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany1
Psychology, University of South Florida, Tampa, USA1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
Keio University, Minato-ku, Japan1
Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran1
Multimedia Lab, Department of Electrical and Computer Engineering, University of Toronto, Canada1
Halmstad University, Sweden1
Faculty of Engineering, University of Porto, Porto, Portugal1
INESC-TEC, Porto, Portugal1
Department of Computer Science, Bournemouth University, UK1
Uppsala University, Uppsala, Sweden1
CSIRO ICT Centre, Queensland, Australia1
The Mitre Corp, McLean, USA1
Eindhoven University of Technology, Eindhovem, Netherlands1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. jalba@gts.tsc.uvigo.es1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. danisub@gts.tsc.uvigo.es1
CVisionLab, LLC, Taganrog, Russia1
Strategy Office, Information and Communications Headquarters, Nagoya University, Japan1
School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, China1
School of Psychological and Cognitive Sciences, Peking University, Beijing, China1
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey1
Elektrik-Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey1
School of Information Technologies, The University of Sydney, NSW, Australia1
National Sun Yat-sen Unisersity, Taiwan1
KU Leuven (BE)1
Information Science School, Guangdong University of Finance and Economics, China1
Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. wgao@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. xlchen@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. sgshan@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. ysu@jdl.ac.cn1
School of Cancer and Enabling Sciences, Stopford Building, University of Manchester, Manchester, UK1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
FAST, Supélec, Avenue de la Boulaie, Cesson-Sévigné, France1
ISIR laboratory, Pierre and Marie Curie university, Paris Cedex 05, France1
Department of Computer Science, Wrocław University of Technology, Wrocław, Poland1
School of Electrical and Electronics Engineering, College of Engineering, Yonsei University, Seoul, Korea1
Department of Smart Systems Software, Soongsil University, Seoul, Korea1
Department of Information and Communication Technology, Soongsil University, Seoul, Korea1
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Department of Computer Science, University of Rochester, Rochester, NY, 14627, USA1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. mjchung@ee.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. akh@cheonji.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Information Security Research Division, Electronics and Telecommunications Research Institute, Yuseong-gu, Daejeon, 305-700, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Datang Guoxin Binhai Offshore Wind Power Co., Ltd1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan1
University of Aizu Aizu-Wakamatsu City, Fukushima, Japan1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Departement of Engineering Education, Utah State University, USA1
Mathematics Department, School of Computer Science, Bina Nusantara University, Indonesia1
Faculty of Science and Technology, Communication University of China, Beijing, China1
Science and Technology Department, Communication University of China, Beijing, China1
Collaborative Innovation Center, Communication University of China, Beijing, China1
Guru Gobind Singh Indraprastha University, University School of Information & Communication Technology, Sector 16-C, Dwarka, New Delhi-110078, India1
German National Library of Science and Technology (TIB), Hannover, Germany1
taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany1
Department of Film and Digital Media, Seokyeong University, Seoul, Republic of Korea1
Department of MediaSoftware, Sungkyul University, Anyang-si, Republic of Korea1
Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea1
Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada N2L 3G11
School of Information System and Management, National University of Defense Technology, Changsha, China 4100731
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
Université de Technologie Compiègne, 60200 Compiègne, France1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of Computing and Shenzhen School, The Hong Kong Polytechnic University, Kowloon, Hong Kong1
Department of Computer Science and Technology, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, Beijing, China1
Department of Computer Science, Aalto University, Espoo, Finland1
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan1
Department of Engineering, Nagoya Institute of Technology, Nagoya, Japan1
East China University of Science and Technology, Shanghai, China1
ERARGE, Ergünler Ltd. Şti, İstanbul, Türkiye1
Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye1
Huaqiao University, Quanzhou, Fujian 362021, China1
School of Information and Communication Engr., Sungkyunkwan University, Suwon, Korea1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea1
Center for Intelligent Robotics at Korea Institute and Technology (KIST), Seoul, Korea1
Department of Mechanical Engineering, Korea University, Seoul, Korea1
Joanneum Research, Graz1
Swiss Federal Institute of Technology, Lausanne1
Swiss Federal Institute of Technology, Lausanne and PatternLab1
University of Fribourg1
Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg1
Commissariat à l'Energie Atomique1
Pusan National University, Busan, Korea1
Department of Computer Science, Minjiang University, Fuzhou, China1
Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang, China1
School of Electronics Engineering, Kyungpook National University, Bukgu, Korea1
Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand1
Wroclaw University of Technology1
Shri JJT University, Rajasthan1
Department of ECE, CVR College of Engineering, Hyderabad1
P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu1
The Hong Kong Polytechnic University, Chu Hai College of Higher Education, Hong Kong, China1
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. n.poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. j.kittler@surrey.ac.uk1
School of Mathematics and Computational Science, Anqing Normal University, Anqing, People’s Republic of China1
Xerox Res. Centre Eur., Meylan, France1
Concordia Institute for Information Systems Engineering Concordia University, Montreal, Canada1
Center of Electronic Technology and Information Federal University of Amazonas Manaus, Brazil1
Center of Electronic Technology and Information, Federal University of Amazonas, Manaus, Brazil1
Instituto Nokia de Tecnologia, Manaus, Brazil1
Computer Engineering Dept., Gazi University, Ankara, Turkey1
Electrical&Elecronics Engineering Dept., Gazi University, Ankara, Turkey1
College of William and Mary1
LIP6, UPMC Université Paris 06, Paris1
UMI CNRS IPAL, LTCI, Télécom ParisTech, National University of Singapore, Paris1
Department of Interactive Media, Gachon University, Seongnam-si, South Korea1
Department of Electronic Engineering, Dankook University, Cheonan, South Korea1
Department of Computer Science, Namseoul University, Cheonan, South Korea1
Department of Applied Computer Engineering, Dankook University, Yongin-si, South Korea1
Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Catalonia, Spain1
Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gjøvik, Norway1
Faculty of Information Technology, Hue University of Sciences, Vietnam1
Department of Neurosurgery, University of Pittsburgh, PA 15213, USA1
Institute for Analytics and Data Science School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
Visual Computation, Queen Mary University, London, United Kingdom1
Indian Institute of Information Technology and Management, Madhya Pradesh, India1
School of Computer Science, Northwestern Polytechnical University, Shaanxi, China1
IRIT, Univ. Paul Sabatier, Toulouse, France1
National Computer Emergency Technical Team/Coordination Center of China, Beijing, China1
School of Cyber Science and Technology, Beihang University, Beijing, China1
Beijing Key Laboratory of Network Technology, Beihang University, Beijing, China1
Department of Computer Science, New York University, New York, NY, USA1
LIRMM, University of Montpellier / CNRS, France1
University of Nîmes, France1
Faculty of Computers and Information, Ain Shams University, Egypt1
Faculty of Computers and Information, BeniSuef University, Egypt1
Department of Electrical and Computer Engineering, College of the Computer and Information Science, Northeastern University, Boston, MA, USA1
Graduate Institute of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Department of Computer Science, University of Brasília, DF, Brazil 70910-9001
Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-9001
Automobile Transport Command Department, Military Transportation University, Tianjin, P.R. China1
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, P.R. China1
Institute of Information and Decision Technology, Dalian University of Technology, Dalian, People’s Republic of China1
ICT-ISVISION FRJDL, Institute of Computing Technology, CAS, Beijing, China1
University of New England, Armidale, Australia1
Dublin City University, Dublin, Japan1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
College of Computer Science, Chongqing University Chongqing, China1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, College of Computer Science, Chongqing University, Chongqing, China1
DCNS Research, 5 rue de l'Halbrane, 44340 Bouguenais, France1
Dept. of Electronic and Communications Technology, Autonomous University of Madrid, Madrid, Spain1
Dept. of Electrical Engineering, Aswan University, 81542 Aswan, Egypt1
Department of Computer and Information Sciences, Northumbria University1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. tubaro@elet.polimi.it1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it1
School of Computing Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Shenzhen Research Institute, Northwestern Polytechnical University, ShenZhen, China1
Natural Computing Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Department of Computer Science and Engineering, Sejong University, Seoul, South Korea1
Digital Contents Research Institute, Department of Software, Sejong University, Seoul, South Korea1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Advanced Medical Electronics, Maple Grove, MN 55369 USA1
Technical University of Delft, Delft, The Netherlands1
European Institute for Participatory Media, University of Applied Sciences Stralsund, Berlin, Germany1
Raytheon BBN Technologies, Cambridge, MA, USA1
IGG, University of Bonn, Bonn, Germany1
B-IT, University of Bonn, Bonn, Germany1
Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
Dept. of Medical Information Technology, Carinthia University of Applied Sciences, Primoschgasse 8, A-9020 Klagenfurt, Austria1
Carnegie Mellon University,USA1
School of Computer and Information, Anhui Polytechnic University, Wuhu, China1
Department of Control Science and Engineering, Zhejiang University, China1
Jadavpur University, Kolkata, India1
Department of Physics, Tripura University (A Central University), Suryamaninagar, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, India1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
Department of Computer Science, Queen Mary University of London, London, United Kingdom1
Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
University of Adelaide1
INRIA, Université Paris Sud, Université Paris Saclay, Paris, France1
Pediatrics Department, University of South Florida, Tampa, FL, USA1
Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China1
Department of Computer Science, University of Surrey, United Kingdom1
Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary1
University Politehnica of Bucharest, Bucharest, Romania1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, 420-734, Korea1
Oracle America, Inc., Redwood City, CA, USA1
University of Maryland, Baltimore County, Baltimore, MD1
Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany1
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany1
State Post Bureau Safety Supervision Center, Beijing, 100091, China1
Elektrik-Elektronik Mühendisliği Bölümü, Trakya Üniversitesi, Edirne, Türkiye1
ONERA - The French Aerospace Lab, Palaiseau, France1
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China1
Schlol of computer Science, Nanjing University of Science and Technology, Jiangsu, China1
Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal, National institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil, and University of Fortaleza (UNIFOR), Ceará, Brazil1
Clínica Otocenter, Teresina, Piauí, Brasil1
Kanazawa University, Ishikawa, Japan1
Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan1
Department of Computer Science and Engineering, The State University of New York at Buffalo, New York, USA1
Chinese Academy of Sciences, Institute of Software, Beijing, China1
University of Barcelona, Spain1
Georgia Southern University, Statesboro, GA1
Department of Electronic Engineering, Shantou University, Shantou, China1
University of Tasmania, Hobart, Australia1
Department of Electrical Engineering, KAIST, Daejeon, South Korea1
Computer Science and Engineering, Hanyang University, Seoul, South Korea1
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China1
School of Software Technology, Dalian University of Technology, Dalian, China1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. hsawhney@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. rkumar@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. ssamarasekera@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. toskiper@sarnoff.com1
Sarnoff Corporation, 201 Washington Road, Princeton, NJ 08540, USA. zzhu@sarnoff.com1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Centre for Emerging Technologies, Jain University, Karnataka-562112, India1
Computer Science and Engineering Department, Christ University, Bangalore- 560074, India1
Department of Computer Science, University of Liverpool, Liverpool L69 3BX, United Kingdom1
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China1
INESC and University of Porto, Porto, Portugal1
University of Alicante, Spain1
Institute for Systems and Robotics, Instituto Superior Técnico, Portugal1
Dept. of Computer Science & Engineering, Jadavpur University, Kolkata-032, INDIA1
College of Machanical Engineering, Jiangsu Institute of Commerce, Qinhuai District Nanjing, China1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing Shi, China1
PLA University of Science and Technology, Qinhuai District Nanjing, China1
Company of Shaanxi, China Mobile Limited, Xi’an, China1
Departement of Statistics, FSU, Tallahassee, FL 32306, USA1
LIFL (UMR USTL/CNRS 8022), Université de Lille 1, France1
School of Electrical Engineering and Computer Science, University of Newcastle, Australia1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong1
College of Electrical Engineering and Automation, Anhui University, China1
Department of Computer Science, Federal University of Ceará, Fortaleza, Brazil1
Department of Information Engineering, The Chinese University of Hong Kong, China1
Liverpool John Moores University, Liverpool, United Kingdom1
Inha University, Incheon, Korea (Republic of)1
Indian Institute of Technology Madras, Chennai, India1
Department of Automation, USTC, China1
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel1
National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA1
Department of Computer Science, Mathematics and Physics, University of Udine, Udine, Italy1
Center for Automation Research, University of Maryland, College Park, MD 20742, USA1
College of Humanities & Information of Changchun University of Technology, Changchun, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Turkey1
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China1
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080 USA1
School of Computer, Wuhan University, Wuhan 430072, China1
Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA1
Rensselaer Polytechnic Institute, Troy, NY 12180, USA1
GE Global Research Center, Niskayuna, NY 12309, USA1
National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine1
Nanjing University, Nanjing, P. R. China1
School of Information Science and Engineering, Yunnan University, Kunming, People’s Republic of China1
School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People’s Republic of China1
UBTECH Robotics, Shenzhen, People’s Republic of China1
School of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, People’s Republic of China1
School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, People’s Republic of China1
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Wheresohu_what@sohu.com1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Computer_vision@sohu.com1
School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China1
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Adobe System Incorporated1
Micrososft Research Asia1
HERE Technologies, Chicago, Illinois, USA1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. daphna@cs.huji.ac.il1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. zweiga@cs.huji.ac.il1
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China1
Department of Computer Science and Technology, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou, China1
University of Illinois Urbana Champaign, Champaign, USA1
Mapillary Research, Graz, Austria1
University of Glasgow, Glasgow, UK1
UCLA Center for Vision, Cognition, Learning and Autonomy and University of Hong Kong1
Waseda University and USC Institute for Creative Technologies1
Faculty of Data Science, Shiga University, Hikone, Shiga, 5228522, Japan1
GM Advanced Technical Center Israel, Hamada 7, Herliya, Isarel1
RoadMetric LTD, Giveat Yearim 90970, Israel1
Department of Telecommunications, University "Politehnica" Bucharest Bucharest, Romania1
Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, China1
School of Information Science, Xinhua College of Sun Yat-sen University, Guangzhou, China1
IBM, Yorktown Heights, NY, USA1
Inst. Dalle Molle d'Intelligence Artificielle Perceptive, Martigny, Switzerland1
Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia1
School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea1
Department of Computer Science, COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
Portland State University, Portland, USA1
School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China1
Centro Studi S.r.l., Buccino, Italy1
Electrical Engineering Department, Semnan University, Iran1
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
INSA de Lyon - Université de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France1
Institute for Infocomm Research, A-star, Singapore1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
Department of Computer Science, University of North Carolina at Charlotte, USA1
EECS Department, UC Berkeley, USA1
Lane Department CSEE, West Virginia University, USA1
Institute for Mathematical Stochastics, University of Göttingen, Germany1
Computer Engineering College, Jimei University, Xiamen, China1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China1
School of Information, Hunan University of Humanities, Science and Technology, Loudi, China1
Amped, Italy1
XTREAM, Spain1
Arthaus, Macedonia1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom1
Dept. of Computer Science & Engineering, The Chinese University of Hong Kong, Shatin, N.T., China1
Dept. of Digital Media, College of Information Sciences, Beijing Language and Culture University, 100083, China1
Department of Computing, Curtin University, Perth, Western Australia1
Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York1
Dept. of Information Science, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4 Aza Ebinokuchi Tsuchiya, Yurihonjo City, 015-0055 Japan1
OMRON Social Solutions Co. Ltd., Japan1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA1
Baidu Research - Institute of Deep Learning, Sunnyvale, USA1
CERTH, Thessaloniki, Greece1
CERTH & Queen Mary University of London, Thessaloniki, Greece1
Department of Electromechanical Engineering, University of Macau, Macau, SAR, China1
Department of Computer and Information Science, University of Macau, Macau, SAR, China1
Los Alamos National Laboratory1
ICT-ISVISION Joint R&D Lab. for Face Recognition, Chinese Acad. of Sci., Beijing, China1
Department of Electrical and Computer Engineering and Center for Automation Research, University of Maryland, College Park, MD, USA1
Interacting Minds Centre, Aarhus University, Aarhus C, Denmark1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland1
Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland1
Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland1
College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan1
Unmanned System Research Center, National Innovation Institute of Defense Technology, Beijing, China1
De Montfort University1
Gdańsk University of Technology, Gdansk, Poland1
AGH University of Science and Technology, Krakow, Poland1
Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)1
Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore1
BBN Technologies, Cambridge, USA1
Computer Science, North Carolina Central University, USA1
Computer Science & Electrical Engineering, West Virginia University, USA1
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68503, NE, United States1
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Electrical and Information Engineering, Hunan University, Changsha, China1
Florida State University, FL, USA1
Department of Radiology, Chinese PLA General Hospital, Shenyang, China1
Hospital Clinic Universitat de Barcelona, Barcelona, Spain1
Benito Menni Complex Assistencial en Salut Mental, Barcelona, Spain1
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain1
Institute of Psychiatry, King’s College London, London, UK1
FIDMAG Research Unit, Benito Menni CASM, Barcelona, Spain1
Queen Mary, University of London1
Brunel University1
Indian Institute of Information Technology Lucknow, Lucknow, India1
The Department of Computing, Muscat College, University of Stirling, UK1
School of mechanical and material engineering, North China University of Technology, Beijing, P.R. China1
Institute of Cybernetics, Tallinn University of Technology1
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.1
College of Computer Sciences, Zhejiang University, Hangzhou, China1
Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Interdisciplinary Graduate School, SingaporeSingapore1
Computer Science and Eng. and Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science and Eng. and IT, Dep. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science, Eng. and IT, Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Jiaotong University, China1
Fordham University, New York, 10023, USA1
Pattern Recognition Group, University of Siegen, Siegen, Germany1
College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan1
Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran1
Beijing Transportation Operation Coordination Center, China1
Beijing Transportation Information Center, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Ben-Gurion University, Beersheba, Israel1
Orbotech Ltd., Yavne, Israel1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi’an, China1
Department of Mathematics, University of Bari Aldo Moro, Bari, Italy1
MSR, New York, USA1
INRIA Paris, France1
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, P. R. China1
Department of Electrical Engineering, Semnan University, Semnan, Iran1
University of California, Merced, CA, 953441
School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Department of Statistics, Florida State University, Tallahassee, FL, USA1
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
INRIA Rennes, France1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
SPKLSTN Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Dept. of Electronics, Telecommunications and IT University “Politehnica” of Bucharest, Romania1
Department of Computer Science & Engineering, Guru Jambheshwar University, Hisar, Haryana, INDIA-125001. E-mail: dinesh_chutani@yahoo.com1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, CAS, Beijing, China1
School of Computer Science and Information Engineering, Hefei University of Technology, China1
School of Engineering and Advanced Technology, Massey University, Albany, New Zealand1
School of Software, Beihang University, Beijing, China1
Software Engineering Institute, Tsinghua University, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, P.R. China1
Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People’s Republic of China1
Department of Psychology, University of Pittsburgh/Robotics Institute, Carnegie Mellon University , Pittsburgh, PA, USA1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
Jiangsu Key Laboratory of Big Data Analysis Technique, Nanjing University of Information Science and Technology, China1
D.S.M. College, Parbhani, India1
School of Information Engineering, Nanchang Hangkong University, Nanchang, China1
Dept.of Intelligence Science and Technology, The Kyoto University of JAPAN1
Dept.of Computational Intelligence and Systems Science, Tokyo Institute of Technology of JAPAN1
Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA1
Electronic Information School, Wuhan University, Wuhan 430072, China1
Department of Communication Engineering and Informatics, The University of Electro-Communications, Tokyo 182-8585, Japan1
INRIA Rhone Alpes, Grenoble 38334, France1
Toyota Motor Europe (TME), Brussels 1140, Belgium1
Universidad Autonoma de Occidente, Cali, Colombia1
State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Center for Shared Experimental Education, Sun Yat-sen University, Guangzhou, China1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran1
School of Computer and Information Technology Engineering, Shahrood University of Technology, Shahrood, Iran1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. kriegman@cs.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. spmallick@vision.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. nalldrin@cs.ucsd.edu1
Faculty of Electrical, Biomedical and Mechatronics, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Bocgazici University, Turkey1
Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia1
Dalian Maritime University, Dalian, People’s Republic of China1
Bordeaux INP, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France1
Chang Jiang Institute of Survey, Planning, Design and Research, China1
Santa Barbara Cottage Hospital1
Department of Computer Science, Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia1
Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France1
Transilvania University Brasov, Romania1
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C.1
De La Salle University, Manila, Philippines1
Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana, USA1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle Upon Tyne, UK1
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK1
Department of Computer Science, Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC, cpliao@chien.csie.ncku.edu.tw1
Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
LAMIH/CNRS University of Valenciennes and Hainaut-Cambresis, Valenciennes, France1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
Department of IT, MM University, Mullana, India1
Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China1
Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye1
The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China1
Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco1
School of Informatics, University of Wales, Gwynedd, United Kingdom1
Computer Vision Center, Department Informàtica, Universitat Autònoma de Barcelona, Barcelona, Spain1
Edge Hill University, Ormskirk, United Kingdom1
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey1
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey1
Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey1
University of Massachusetts, Boston, USA1
Information and Communication Technology Research Institute, Tehran, Iran1
Electronic and Computer Engineering, Brunel University London, Uxbridge, UK1
Faculty of Engineering, University of Ottawa, Ottawa, Canada1
Computer Science and Engineering, Qatar University, Doha, Qatar1
Tourism Department, Minjiang University, Minjiang University, Fuzhou, China1
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China1
Institute for Infocomm Research & Nanyang Technological University, Singapore, Singapore1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, 710119, P.R. China1
University of Milano-Bicocca, Milan, Italy1
NICTA, Canberra Research Laboratory, ACT, Australia1
Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp1
Proscan Imaging Inc., Williamsville, NY 142211
Universidade Estadual de Campinas, Cx.P. 6176 Campinas-SP, CEP 13084-971, Brazil1
K.U.Leuven-ESAT-PSI, Leuven, Belgium1
Dakota Consulting, Inc., Silver Spring, USA1
Department of Electrical Engineering, Imperial College London, London, UK1
Department of Computer Science and Engineering, Thapar University, Patiala, India1
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, China1
Toutiao AI Lab, Beijing, China1
College of Information and Computer Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA1
TU Wien, Vienna, Austria1
Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom1
Institute on Children Studies, University of Minho, Portugal1
Alibaba Group, Beijing, China1
North Automatic Control Technology Institute, Taiyuan, 030006, China1
College of Aerospace and Material Engineering, National University of Defense Technology, Changsha, China1
REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, Department of computer science, College of AlGhat, Majmaah university, Riyadh, KSA1
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Research Center for Brain-inspired Intelligence, Chinese Academy of Sciences, Beijing, China1
Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China1
IIT Guwahati, 781039, Assam, India1
Sandia National Laboratories, Albuquerque, NM 87185-0932, USA1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: huseyin.ozkaramanli@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: hasan.demirel@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: alaa.eleyan@emu.edu.tr1
Space and Naval Warfare Systems Center Pacific, San Diego, CA, 92152, United States1
Electrical and Computer Engineering, University of California, San Diego1
School of Computer Software, Tianjin University, 300072, China1
Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong, China1
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hong Kong, China1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi'an, China1
Microsoft Research, Mountain View, CA1
Brown University, Providence, RI1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India e-mail: ankumfec@iitr.ernet.in1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com1
Computer Science Department, University of Maryland, College Park. djacobs@cs.umd.edu1
Computer Science Department, University of Maryland, College Park. carlos@cs.umd.edu1
Inst. of Computing Tech., CAS & Univ. of Chinese Academy of Sciences & Key Lab of Big Data Mining and Knowledge Management, CAS, Beijing, China1
College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China1
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China1
Laboratoire de Mécanique des Fluides et d'Acoustique(LMFA)-UMR 5509, Institut national des sciences appliquées de Lyon, 69621, France1
Department of Information, Compiègne University of Technology, 60200, France1
School of Automation, Northwestern Polytechnic University, Xi'an, 710072, China1
North China University of Technology, Beijing, 100041, China1
CEERI Pilani1
Universitat Pompeu Fabra, Universidad Pompeu Fabra (Edificio França), Passeig de Circumvallacio, 8, Barcelona, Spain1
Departamento de estadística, Universidad Carlos III de Madrid, Barcelona, Spain1
School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China1
National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China1
Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, China1
Department of Computer Science, UCCS, University of Colorado, Colorado Springs1
University of California, Santa Barbara, California, USA1
Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Neural Information Processing, University of Ulm1
Computer Science Department, University of California Los Angeles1
Computer Science, Rochester Institute of Technology, USA1
Center for Imaging Science, Rochester Institute of Technology, USA1
Department of Multimedia Design, National Taichung University of Science and Technology, Taichung, Taiwan1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan1
Shanghai Jiao Tong University, University of Michigan-Shanghai, Jiao Tong University Joint Institute1
Faculty of Science, Qiqihar University, 161006, China1
Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, 100083, China1
Amirkabir University of Technology, Department of Computer Engineering, Tehran, Iran1
Australian Centre for Robotic Vision, University of Adelaide, South Australia, Australia1
Magic Leap Inc., USA1
University of North Carolina, Chapel Hill, USA1
360 AI Institute and National University of Singapore, Singapore1
SnapChat Inc., Venice, CA1
“Lumina” The University Of South-East Europe, Bucharest, Romania1
Hyperion University Bucharest, Romania1
Adobe Research, San Jose, CA, USA1
Center of Computer, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
University of Bergen1
Exploratorium1
University of California, Davis1
University of Copenhagen and University of Malta, Copenhagen, Denmark1
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany1
Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada1
Communication University of China, China1
Chinese Academy of Sciences, Institute of Computing Technology, China1
Intel Labs China, Intel Corporation, 100090, Beijing, China1
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia1
Institute of Computer Engineering, University of Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Italia1
Advanced Micro Devices, Inc., Bellevue, WA, USA1
College of William & Mary, Williamsburg, VA, USA1
Advanced Micro Devices, Inc., Sunnyvale, CA, USA1
Katholieke Universiteit Leuven, Belgium1
Swiss Federal Institute of Technology, Switzerland; Katholieke Universiteit Leuven, Belgium1
University of Granada, UK1
Philips Electronics, Best, The Netherlands1
University of Colorado, Boulder, CO, USA1
Nanjing University, China1
Center for Machine Vision, Research, University of Oulu, Finland1
Computer Science, Purdue University, West Lafayette, USA1
mediaX, Stanford University, Stanford, USA1
Dpto. Lenguajes y Sistemas Informáticos, Universidad Jaume I. Castellón de la Plana, Spain1
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili Nanshan District Shenzhen, Guangdong Province, China1
LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France1
Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria1
College of air traffic control and navigation, Air Force Engineering University, Xi'an 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China1
College of Science, Air Force Engineering University, Xi'an, 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072,China1
Schoool of Life Sciences and Technology, Xidian University, Xi'an, China1
Koolsee MideaNet Company Limited, Hong Kong, China1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China1
Department of Computer Science & Information Engineering, Chung Hua University, Hsinchu, Taiwan1
Department of Computer Science & Information Engineering, National United University, Miaoli, Taiwan1
Paypal Innovation Team, Singapore1
Ricoh Company, Ltd., Yokohama, Japan1
Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Tuebingen, Baden-Wuerttemberg, Germany1
Center for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts USA1
School of Computer Science and Technology, Anhui University, Hefei, China1
Microsoft Key Laboratory of Visual Perception, Zhejiang University, Hangzhou, China1
Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt1
Department of Software Engineering, China University of Petroleum, Qingdao, China1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
Shandong Normal University, Jinan 250014, China1
College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China1
School of Information Science and TechnologyBeijing Forestry University1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK, m.hamouz@surrey.ac.uk1
Center for Vision Research, York University. jelder@yorku.ca1
Department of Computer Science, University College London. s.prince@cs.ucl.ac.uk1
Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, P.R. China1
Microsoft Research Asia, Beijing, P.R. China1
Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea1
Cognitive Neuroscience Cluster, Southern Cross University, Coffs Harbour, Australia1
Graduate Program in Neuroscience, The University of Western Ontario, London, Canada1
Department of Psychology, The University of Western Ontario, London, Canada1
The Brain and Mind Institute, The University of Western Ontario, London, Canada1
Northwestern University, 633 Clark Street, Evanston, IL 60208, USA1
Semnan University, Semnan, Iran1
Huazhong University of Science and Technology, P. R. China1
Department of AutomationTsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
College of Software, Northeastern University, Shenyang, China1
Hebei University of Technology, School of Science, Tianjin, P. R. China1
West Virginia University, Lane Dept. of CSEE, Morgantown, WV1
Computer Perception Lab, California State University, Bakersfield, CA, 933111
The School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gdansk University of Technology, Gdansk, Poland1
Faculty of Electronics, Telecommunications and Informatics, Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China1
Uurmi Systems Lab, Hyderabad, India1
Department of Computer Engineering, Eastern Mediterranean University, Mağusa, Turkey1
Department of Biomedical Engineering, Center for Neural Engineering, University of Southern California, Los Angeles, CA, USA1
Colchester, Essex, United Kingdom1
Department of Electrical and Computer Engineering, College of Engineering, and College of Computer and Information Science (Affiliated), Northeastern University, MA, USA1
Department of Mathematics, JiaYing University, Meizhou, China1
Electrical Engineering and Computer Sciences, UC Berkeley, USA1
Computer Vision and Robotics Research Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, USA1
School of Engineering, Shiv Nadar University, Gautam Buddha Nagar, India1
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, 361024, China1
CARTIF Centro Tecnológico, Robotics and Computer Vision Division, Boecillo (Valladolid, Spain)1
Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, 152-8552, Japan1
Medical Imaging Technologies team, Siemens Corporate Technology, Bangalore, India1
Division of Computer Science and Engineering, CAIIT, Chonbuk National University, Jeonju, Korea1
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
School of Electronic and Information Engineering, Shanghai University of Electric Power, 200090, China1
School of Automation Engineering, Shanghai University of Electric Power, 200090, China1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
School of Engineering and Information Technology, Murdoch University, Australia1
Facebook, Menlo Park, CA, USA1
Tencent Inc., Shanghai, China1
University of Twente, Enschede, Netherlands1
Radboud University, Nijmegen, Netherlands1
South Africa1
Viterbi school of engineering, University of Southern California, Los Angeles, USA1
NCCA, Bournemouth University, United Kingdom1
Roke Manor Research Romsey, Hampshire SO51 0ZN, UK1
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China1
Computer Science Department, University of Maryland, College Park, MD1
Department of Computer Science, Memorial University of Newfoundland, Saint John's, NL, Canada1
Computer Science Department, Tel-Aviv University, Ramat Aviv, Tel-Aviv, Israel1
Department of Radiation Oncology, Hacettepe University, Ankara, Turkey1
Guangdong University of Foreign Studies, Guangzhou, China1
The Department of Electronic Engineering, BoHai University, JinZhou, China1
KTH - Royal Institute of Technology, Stockholm, Sweden1
Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain1
Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Information & Communications Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain1
Computer Science Dept., University of Toronto, Canada1
Department of Electrical Engineering, Assiut University, Asyut, Egypt1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
Naval Research Laboratory, Washington, DC 20375; George Mason University, Fairfax, VA1
University of Mysore, Mysore, India1
Channabasaveshwara Institute of Technology, Gubbi, India1
Institut TELECOM, TELECOM and Management SudParis, France1
University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France1
Department of Computer Engineering, Yeungnam University, Gyeongsan, South Korea1
Department of Computer Science, Effat University1
Korea Electronics Technology Institute (KETI), Kyunggi-Do, Korea1
TNO Defence, Security and Safety, P.O. Box 96864, 2509 JG The Hague, The Netherlands1
Shanghai University of Finance and Economics, Shanghai, China1
Department of Signal Processing, Tampere University of Technology, FIN-Tampere, 33720, Finland1
Hanoi National University of Education, Hanoi, Vietnam1
Department of Computer Sciences, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign , Urbana1
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis1
Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana1
NYSS College of Engineering and Research, Nagpur, 441 110, India1
\ No newline at end of file diff --git a/scraper/reports/doi_institutions_geocoded.csv b/scraper/reports/doi_institutions_geocoded.csv index a3ea6a5e..9925b40e 100644 --- a/scraper/reports/doi_institutions_geocoded.csv +++ b/scraper/reports/doi_institutions_geocoded.csv @@ -2140,6 +2140,7 @@ b1c7a6e7a28a33ba9c6d05d3fb02dcbd77ff3fa3,An Emotional Expression Monitoring Tool 336cc68bc266fb4172eb7367ce1ad7b69fcbb763,Multi-view gender classification using symmetry of facial images,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,,China 3337cfc3de2c16dee6f7cbeda5f263409a9ad81e,Age prediction on face features via multiple classifiers,"University Sultan Zainal Abidin, Malaysia","Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia","22020 Kampung Raja, Terengganu, Malaysia",5.76488480,102.62817020,edu,,Malaysia 3333f2f667c4fa7310a7afbe9bd012bc818e5660,A fast Cascade Shape Regression Method based on CNN-based Initialization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,,China +333880ee776d57555f54935978ccb2ce13cfdb07,Person classification leveraging Convolutional Neural Network for obstacle avoidance via Unmanned Aerial Vehicles,Cranfield University,"Cranfield University, UK","College Rd, Wharley End, Bedford MK43 0AL, UK",52.07418180,-0.62781230,edu,,United Kingdom 3318ea550981a714d2c84522aee411460004347a,Recognizing interactions between human performers by ‘Dominating Pose Doublet’,"Indian Statistical Institute, Kolkata, India","Indian Statistical Institute, Kolkata 700108, India","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu,,India 33d631ee947ef0cb184ab6b172213abea9f540db,Computer vision based eyewear selector,"E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain","E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain","Avda. Camilo José Cela, s/n, 13071 Ciudad Real, Cdad. Real, Spain",38.99404390,-3.92049790,edu,,Spain 3377d56732c432bf42d6627b0fa25ff91286548c,Robust Facial Pose Estimation Using Landmark Selection Method for Binocular Stereo Vision,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,,South Korea @@ -4373,6 +4374,7 @@ ce9a22bb42ae68ed5bc2d19857f4fb46107a1712,Adaptive matching wavelet networks for 9d5ee493ee1b7955bbc71b13edc7f97efe53d743,JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery,"Simula Research Laboratory, Oslo, Norway","Simula Research Laboratory, Oslo, Norway","Martin Linges vei 25, 1364 Fornebu, Norway",59.89486240,10.62893450,company,,Norway 9d46485ca2c562d5e295251530a99dd5df99b589,Real-time face recognition for human-robot interaction,"Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico","Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico","Luis Enrique Erro 1, Sta María Tonanzintla, 72840 Puebla, Pue., Mexico",19.03231070,-98.31537020,edu,,Mexico 9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625,Torso orientation: A new clue for occlusion-aware human pose estimation,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,,China +9da3ade53bf91556fe46828b216aab20a4e72294,SNc Neuron Detection Method Based on Deep Learning for Efficacy Evaluation of Anti-PD Drugs,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,,China 9d00e7465dcafa40f9e0fa0939aa648184c84b4d,Labeling Spain With Stanford,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu,,United States 9df680a0fe9142012ac49140aaba717388ba9a1a,Kernel sparse representation-based classifier ensemble for face recognition,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu,,China 9dd3f85b2418ca26fb94558de57fdc001615ed24,Semantic manifold learning for image retrieval,Taiwan and National Taiwan University,"Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan","No. 128號, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529",25.04218520,121.61454770,edu,,Taiwan @@ -5574,6 +5576,7 @@ f8f14c0248a4974ce9a6226db81f9745a6b1ea97,Part based pedestrian detection based o 66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1,Online action detection and forecast via Multitask deep Recurrent Neural Networks,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,,China 6681006eaa13e03d8cf87cf44797e87ffbe0826b,Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification,University of Madrid,"Polytechnic School, University of Madrid, Spain","Urbanización Montepríncipe, s/n, 28668 Alcorcón, Madrid, Spain",40.39945580,-3.83537000,edu,,Spain 66dd296261268061140f60b0cebec9580148c346,Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation,Technology University of Darmstadt,"Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany","Fraunhoferstraße 5, 64283 Darmstadt, Germany",49.87421700,8.65951200,edu,,Germany +66a08ff2ea7447093624632e7069e3da16961d30,"An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition",Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,,China 66e5c4f051c49f0ce0d521c53864b211c6ae143b,Feature selection for spatially enhanced LBP: application to face recognition,"IKERBASQUE, Basque Foundation for Science, Bilbao, Spain","IKERBASQUE, Basque Foundation for Science, Bilbao, Spain","María Díaz Haroko Kalea, 3, 48013 Bilbo, Bizkaia, Spain",43.26425400,-2.94302300,edu,,Spain 6634318fa67bb8866d2579760c7b5763d0ee46a3,Detection by detections: Non-parametric detector adaptation for a video,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,,United States 66aaa719c84c5ab833eb9cd8a8566d9a110ffc48,Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu,,United Kingdom @@ -6020,6 +6023,7 @@ e1678add566a002e1fe5536d8607888549e36ff8,Object detection and tracking in night 96040876d7c74fef89733e509a34f9c244a88c35,Human action recognition using a semantic-probabilistic network,University of Applied Sciences Berlin,"University of Applied Sciences Berlin (HTW), Berlin, Germany","Treskowallee 8, 10318 Berlin, Germany",52.49320090,13.52549330,edu,,Germany 961a6136409d9f322044b585fd9072267feef927,An IFS based approach for face recognition,"Università degli studi di Salerno, Italy","Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu,,Italy 96b1f2bde46fe4f6cc637398a6a71e8454291a6e,Structured Max-Margin Learning for Inter-Related Classifier Training and Multilabel Image Annotation,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,,United States +9607f88fe6298f754e3f610c3a587d8e10b1b0a9,Scene Text Detection with Recurrent Instance Segmentation,National Laboratory of Pattern Recognition,"National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条",39.98177000,116.33008600,edu,,China 965bf5726891428a2af6922ead4779c0a1331392,Image categorization using a semantic hierarchy model with sparse set of salient regions,"Second Hospital of Nanjing, Nanjing, China","The Second Hospital of Nanjing, Nanjing, China","1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028",32.08824580,118.76893790,edu,,China 96d3969dba2d1000f97de0b7cca50ea721d1f79d,Continuous Vehicle Detection and Tracking for Non-overlapping Multi-camera Surveillance System,Dalian Maritime University,"Dalian Maritime University, Dalian, China","1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China",38.87004100,121.53414100,edu,,China 96330777eb14dd6bc31d61b0d7f276083a04e34f,Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking,Cranfield University,"Cranfield University, UK","College Rd, Wharley End, Bedford MK43 0AL, UK",52.07418180,-0.62781230,edu,,United Kingdom @@ -9377,6 +9381,7 @@ ac8bd8663c26d8cc5d73fc91dd269c38d437f47b,An Optimized Illumination Normalization 972f59c4b68ce4c911e7df83cb7bcca8b99932fa,Measuring orderliness based on social force model in collective motions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,,China 97486b088729a87865d08daf56072add84db3ec6,Automatic player position detection in basketball games,University of Novi Sad,"Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia","Trg Dositeja Obradovića 3, Novi Sad 21000, Serbia",45.24541100,19.85277700,edu,,Serbia 9797de286a3101fc31fb51995c18ec7d3eab804d,Modified Viola–Jones algorithm with GPU accelerated training and parallelized skin color filtering-based face detection,I.K. Gujral Punjab Techncial University,"I.K. Gujral Punjab Techncial University, Kapurthala, India","Jalandhar-Kapurthala, Highway, Vpo, Ibban, Punjab 144603, India",31.35284830,75.45956320,edu,,India +976647b32fd7e1a5c8ee4a11792155903bb34e43,Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,,United Kingdom 978b916b76e2b8e48e95ac6044445529c61c2735,Turkish sign language recognition application using Motion History Image,"HAVELSAN A.Ş., Ankara, Türkiye","HAVELSAN A.Ş., Ankara, Türkiye","NAMIK KEMAL MAHALLESİ, 06000 ÇANKAYA/Ankara, Turkey",39.91343400,32.77632500,edu,,Turkey 9728ee87f70f5b5bba55e417a3b2fa8bb90a9569,Deep Learning-Based Eye Gaze Controlled Robotic Car,Bangladesh University of Engineering and Technology,"Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh","BUET Central Road, Dhaka 1000, Bangladesh",23.72766380,90.39284180,edu,,Bangladesh 97f5fb31317f75c7ba412caa1adb46de4c51c52d,QuMan: Profile-based Improvement of Cluster Utilization,"Foundation for Research and Technology, Hellas, Greece","Foundation for Research and Technology - Hellas, FORTH, Crete, Greece","N., Leof. Plastira 100, Iraklio 700 13, Greece",35.30513500,25.07259200,edu,,Greece @@ -9403,7 +9408,7 @@ ac8bd8663c26d8cc5d73fc91dd269c38d437f47b,An Optimized Illumination Normalization 972e044f69443dfc5c987e29250b2b88a6d2f986,Face model fitting with learned displacement experts and multi-band images,"Technische Universität München, München, Germany","Technische Universität München, München, Germany","Arcisstraße 21, 80333 München, Germany",48.14966000,11.56786020,edu,,Germany 97527b3c58591926800e3586e13d99a8cf5b17ff,Learning Affine Hull Representations for Multi-Shot Person Re-Identification,"Siemens Corporate Technology, Princeton, NJ, USA","Siemens Corporate Technology, Princeton, NJ, USA","755 College Rd E, Princeton, NJ 08540, USA",40.34420790,-74.59245990,company,,United States 978051446fe6899a538153aef3ece0d5ce590278,Audiovisual Synchrony Detection with Optimized Audio Features,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu,,Finland -9713e87734046cb7a2d040d71fa35cf93472ea80,Granular-based dense crowd density estimation,"University of Malaya, Kuala Lumpur",University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,,Malaysia +9713e87734046cb7a2d040d71fa35cf93472ea80,Granular-based dense crowd density estimation,National University of Malaysia,"Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia","43600 Bangi, Selangor, Malaysia",2.91795020,101.77127760,edu,,Malaysia 97f4a74eec00c5d2a42c6575f99d95567b78fcc6,High-Dimensional Indexing by Sparse Approximation,"Universidade Nova Lisboa, Monte de Caparica, Portugal","Universidade Nova Lisboa, Monte de Caparica, Portugal","Calçada de Alfazina 2, 2825-149 Caparica, Portugal",38.66096400,-9.20581300,edu,,Portugal 97cd33a0650bb4850b3cfc9c599e4e4fcfd3101f,Unlimited Road-scene Synthetic Annotation (URSA) Dataset,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,,Canada 970e9aced75369c697e2be8cf970f3a173ed676b,Facial feature extraction using a cascade of model-based algorithms,"Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands","Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands","5612 AZ Eindhoven, Netherlands",51.44860980,5.49071480,edu,,Netherlands diff --git a/scraper/reports/doi_institutions_unattributed.csv b/scraper/reports/doi_institutions_unattributed.csv index 602ca505..4ad88ade 100644 --- a/scraper/reports/doi_institutions_unattributed.csv +++ b/scraper/reports/doi_institutions_unattributed.csv @@ -218,6 +218,7 @@ d610513cb0d35ddd2a91ad428575411519c2ee5e,Indoor Trajectory Reconstruction Using 6a26016754371bfacc6fa2d116fe9d2efdafab5e,Application Codesign of Near-Data Processing for Similarity Search 6a8743973e24c39b33ff50e023447daecbd9f25c,Efficient Time Series Classification via Sparse Linear Combination 6a20f975eb253503bba46a421275d46cf74ee1b9,Context Embedding Networks +6a0aaefce8a27a8727d896fa444ba27558b2d381,Relation Networks for Object Detection 6abdd7c4dea2d5d7ff82cd5e6e503be1589861df,Detection and Recognition of U.S. Warning Signs on Curves 193bc8b663d041bc34134a8407adc3e546daa9cc,A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images 19075e854e29edce89a1cb39167eb1af06b86fe5,GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning @@ -639,6 +640,7 @@ b8e5800dfc590f82a0f7eedefce9abebf8088d12,How to Train Your Neural Network with D b839bc95794dc65340b6e5fea098fa6e6ea5e430,Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition b8904f04f90c80ab3233daf1d8410bb7e5b391cb,PIXOR: Real-time 3D Object Detection from Point Clouds b83964876faa536489b4c189fdeb1f9d50172862,Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning +b80a7bbde2986a0b3474258ec2fad0a75813d89f,Context Learning Network for Object Detection b803cdb3377fa3b6194932607f51f2d1fafbf964,Locality Preserving Embedding b80757994fc0f784b88e60b37c055302274e2e07,DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm b80f43b42b5320578d4c1e214fe1a8b6b45352ae,MSR-VTT: A Large Video Description Dataset for Bridging Video and Language @@ -1663,6 +1665,7 @@ f783d93b983841804a9633a37dfbc624bf5d9bfb,Textbook Question Answering Under Instr 7b32f18a665162687059adc18f14a5196ea3ba2f,Relative Aesthetic Quality Ranking 826b086bc50b3ce694bb7cd0413c7db2c105973c,Genre and Style Based Painting Classification 82a73fb987d94d57e2004345137a212f3de9ab5b,Visual Voice Activity Detection Based on Motion Vectors of MPEG Encoded Video +82b1ca78b2fc7ae0459f5d7c61a78822b8a590d2,Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data 8294072ea75ae73ddb8d9b85481b9a878f3b87c7,Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation 82e1692467969940a6d6ac40eae606b8b4981f7e,How Many Frames Does Facial Expression Recognition Require? 82024c5f25c9d2efd4aad30a61b6e6bccecba00b,Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images @@ -2273,6 +2276,7 @@ e5c67abf455acbd9a8b1dba53e163cb5bf3e96bd,"Mobile Social Big Data: WeChat Moments 6f99209b7b274e564e95622990ffc4becb3232ca,Analysis of Visual Attributes of Clothes on Dressing Images 6ff497677f27d3e45e4633550c1a0e5243b8fa3b,Structure Preserving Video Prediction 6f14be41a36eef88889fc6ad966eda4ec1c1c6dd,Deep Convolutional Neural Network for Facial Expression Recognition Using Facial Parts +6f172b6635ad9e3d3e0ab65d931dcb354eb9ff73,Accurate Single Stage Detector Using Recurrent Rolling Convolution 6f77ff9990973a6cdad6b5b6022323bff9d03965,Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions 994cf026a1ee3e4b30dbd23f8bb554352bb00b02,"The Use of Dynamic Deformable Templates for Lip Tracking in an Audio-Visual Corpus with Large Variations in Head Pose, Face Illumination and Lip Shapes" 99f43e5f8f4348c04e97590ec173d61d2be1882d,Small Sample Deep Learning for Newborn Gestational Age Estimation @@ -2435,6 +2439,7 @@ ea35d98dd074cee5042942804bd44a636f393d52,Behavior Recognition of a Person in a D 5d3ee3c16d073a99c9f0d42174b0c7d2f1f097e2,Face Recognition Based on Principle Component Analysis and Support Vector Machine 5ddfd3d372f7679518db8fd763d5f8bc5899ed67,"Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition" 5d31da6f19d69c8f83eb44c6f6586de930ee86ee,Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering +5d49632f8c8cd06cd5ce66f007aa140f40c12c45,Bus-Crowdedness Estimation by Shallow Convolutional Neural Network 5da14895692fad7d1f403279faa743a657fa7ac4,Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking 5da29e393a92632633095ddd5e1b343bc5b11876,Deep Ordinal Regression Network for Monocular Depth Estimation 5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb,Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters diff --git a/scraper/reports/doi_institutions_unknown.csv b/scraper/reports/doi_institutions_unknown.csv index 36ea2cf1..52ec3e0c 100644 --- a/scraper/reports/doi_institutions_unknown.csv +++ b/scraper/reports/doi_institutions_unknown.csv @@ -94,6 +94,7 @@ d50abaf36212d31c758643c70f487ee272c0b627,Ensemble Face Recognition System Using d5053b0a1e1a27e4c93eeac69232e9c2f43bc646,Probabilistic two-dimensional canonical correlation analysis for face recognition,"Department of Electrical and Computer Engineering (ECE) Isfahan University of Technology (IUT), Isfahan, 84156-83111, Iran" d537da9292589a64ef62f0ce32b28613d1fb3e51,Emotional video scene retrieval system for lifelog videos based on facial expression intensity,"Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan" d54bcfb162a371e4441f207ca005b8aeee3d357d,Preliminary study on QR code detection using HOG and AdaBoost,"Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan" +d54d0dc1e7ef82f3ed0ee332e0777b6d73477a8c,Sidewalk-level People Flow Estimation Using Dashboard Cameras Based on Deep Learning,"Faculty of Data Science, Shiga University, Hikone, Shiga, 5228522, Japan" 356ac139eb92753d710c1cd6bbb84403b8cd711b,A virtual reality platform for dynamic human-scene interaction,"UCLA Center for Vision, Cognition, Learning and Autonomy and University of Hong Kong" 35fe5bc1b7edf2b3be4044de53c0cc8dd615d717,Fusion of 2D and 3D data in three-dimensional face recognition,"Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel" 354650dd4057808bb8e6f080186ab9b85702b263,Bin-based weak classifier fusion of iris and face biometrics,"Department of Automation, USTC, China" @@ -737,6 +738,7 @@ bf3b4f503c6dbbe15a6d22b215490f4b6176dd24,A Random Projection Imager for Visual P d2069cf09a9b7ecffecdd32a7a34e861669cebcb,Task-relevant object detection and tracking,"Department of Computer Science University of Rochester, NY 14627, USA" d257a85d640e6e409f74a7074da078f343b9ec8f,ViTBAT: Video tracking and behavior annotation tool,"National Great Rivers Research and Education Center, Alton, IL, USA" bcefb15246b1c9cea74a49a4ba1c990b6b97a19c,"Review on the effects of age, gender, and race demographics on automatic face recognition","Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia" +bcdb697c9d748f7655859256b0228a51b19b6fee,Parallel RCNN: A deep learning method for people detection using RGB-D images,"State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an, China,710049" bc7fdd91d351203f2820240b43b9aa4a66d0a8e3,Automatic Tuberculosis Screening Using Chest Radiographs,"Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA" bc3e1420b468bafc8edd8f2da665a8613fc2912c,Depth MHI Based Deep Learning Model for Human Action Recognition,"School of Electrical and Computer Engineering, Oklahoma State University (OSU), USA" ddfc978b3a149015c9e517fbfe1b8563df5e7356,Face super resolution based on parent patch prior for VLQ scenarios,"State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China" diff --git a/scraper/reports/doi_institutions_unknown.html b/scraper/reports/doi_institutions_unknown.html index d7efc3e6..0ddf55e1 100644 --- a/scraper/reports/doi_institutions_unknown.html +++ b/scraper/reports/doi_institutions_unknown.html @@ -1,2 +1,2 @@ -Unknown Institutions from DOI

Unknown Institutions from DOI

Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA14
Center for Research on Intelligent Perception and Computing, CASIA14
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
Beijing, Haidian, China8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Multiphase Flow Research Center, Federal University of Technology–Paraná, Curitiba, Brazil8
Departamento de Informática, Universidade Federal do Espírito Santo, Vitória, Brazil7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Dept. of Comput., Hong Kong Polytech. Univ., China7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
University of California7
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
Dept. of Computer Science, University of California, Irvine6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Dept. of Comput. Sci., Houston Univ., TX, USA6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
Autonomous Systems Lab, ETH Zürich, Switzerland6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
Centre de Visi´o per Computador6
Information Technologies Institute / CERTH, Greece6
Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI), Federal University of Technology - Parana (UTFPR), Curitiba, Brazil6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
Dept. of Eng. Sci., Oxford Univ., UK6
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
University of California, Irvine, Irvine, CA, USA6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Siemens Healthcare, Malvern, PA, USA5
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil, 80230-9015
Defence Peace Safety and Security, CSIR Pretoria, South Africa5
Institute for Infocomm Research , Agency for Science, Technology and Research, Singapore5
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
Center for Imaging Science, Department of Biomedical EngineeringJohns Hopkins University5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan5
Institute of Information Science and Technologies of the National Research Council of Italy (ISTI-CNR), Pisa, Italy5
International University of Beirut - BIU, Beirut, Lebanon5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Mapua Institute of Technology, School of Electrical, Electronics and Computer Engineering, Manila, Philippines5
School of Automation Science and EngineeringSouth China University of Technology5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
University of California, Santa Cruz, Santa Cruz, CA, USA5
Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS5
Department of Electrical Engineering, University of California, Riverside5
Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná, Curitiba, Brazil5
Toronto Rehabilitation Institute, Toronto, Ontario, Canada5
Computer Vision Center, CS Dept. Universitat Autonoma de Barcelona, Spain5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India5
National Research University Higher School of Economics, Moscow, Russia5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Department of Computer Science, NC State University, Raleigh, U.S.4
Department of Information Technology4
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
The University of Chicago and Argonne National Laboratory, Chicago IL, USA4
Intc®Movidius, Advanced Architectures Group4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
Blekinge Institute of Technology, School of Engineering, Box 520, SE-372 25 Ronneby, Sweden4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Federal University of Technology–Paraná, Curitiba, Brazil4
Shanghai University School of Communication and Information Engineering Shanghai, China4
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China4
Department of Mathematics and Computer Science University of Basel4
LITIS laboratory4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
Toyota Central R&D Labs., Inc., Japan4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Department of Electrical and Computer Engineering, Federal University of Technology-Paraná, Curitiba, Brazil4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Department of Electronics and Communication Engineering4
Department of Innovation Engineering, University of Salento, Lecce, Italy4
School of Communication and Information Engineering, BUPT, Beijing, China4
Department of ECE, S.J.B Institute of Technology, Bangalore, India4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
Noblis, Bridgeport, WV, U.S.A.4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
IDSIA, USI/SUPSI, Lugano, Switzerland4
School of Information Renmin University of China, Beijing, China4
STAR Technologies, A DSCI Company, Eatontown, NJ USA4
Department of Computer Science, Cork Insititute of Technology, Cork City, Ireland, Michael4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
Department of Computer Science - University of Brasilia - Brazil4
Computer Science and Engineering, University of California, San Diego, La Jolla, California 920934
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
University of Yamanashi, Kofu, Japan4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Corporate Research and Development Center, Toshiba Corporation, 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582, Japan4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
University of California, Santa Barbara, Santa Barbara, CA, USA4
AI Department, Ant Financial Services Group, Hangzhou, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
dept. Automation of Tsinghua University, Beijing, China4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Department of Computer Science University of Rochester, NY 14627, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Dept. of Electron., Alcala Univ., Madrid, Spain4
University of Rennes 1, Rennes, France4
Thales Research Departement, Thales Security Systems and Services, Osny, France4
Intelligent Systems Lab, University Carlos III de Madrid, Leganés, Spain4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Dept. of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Dept. of Inf. Technol., Turku Univ., Finland4
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
School of Mechatronic Engineering, UniMAP, Malaysia4
Smart Grid Energy Research Center (SMERC), University of California, Los Angeles, Los Angeles, California, USA4
114
104
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovakia4
Dept. of CS&IT, Mirpur University of Science & Technology (MUST), Azad-Kashmir, Pakistan4
Center for Cognitive Ubiquitous Computing (CUbiC) Arizona State University4
INRIA 2004 Route des Lucioles, BP 93,06902, Sophia Antipolis, France4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
LITIS Laboratory, INSA-Rouen, France4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
Learning Affect & Semantic Imaging Analysis Group, Indian Institute of Technology Ropar4
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. of Tech., Bangalore-560054, India4
School of Computer Science University of Hertfordshire United Kingdom4
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya (PENS), Kampus PENS, Jalan Raya ITS Sukolilo, Surabaya, 60111, Indonesia4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
Department of Geography Information Science, School of Geography Science4
Department of Electrical and Computer Engineering4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
University of Illinois Urbana-Champaign, Urbana, IL, USA4
Stanford University in the Computer Science department4
Department of Electronic Engineering; National Taiwan University of Science and Technology4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Google Brain4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
Qingdao Academy of Intelligent Industries, 266109, China4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada4
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
College of Computer Studies, Silliman University, Philippines4
Department of Technology College of Engineering and Technology, Virginia State University, Petersburg, VA, USA4
Institute for Infocomm Research, Singapore, Singapore4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, 768009, India3
Universidad del País Vasco (UPV-EHU), Donostia-San Sebastián, Spain3
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
School of Electronic Engineering / Center for Robotics / Center for Information in Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
Universität Autònoma de Barcelona3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
Wisimage, Université Clermont-Auvergne3
Data Science Research Laboratories, NEC Corporation, Japan3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
Institute for Systems Biology, Seattle, WA, USA3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
Multimodal Information Area, GRADIANT, Spain3
Department of automation, USTC, Hefei, China3
Cognitive Science department of Xiamen University, China3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
IE, Chinese University, of Hong Kong, Hong Kong3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
Department of Electrical and Computer Engineering The University of Texas at Austin3
School of Electrical Engineering VIT University Vellore, India 6320143
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
Dipartimento di Ingegneria Industriale e dell'Informazione, Seconda Università degli Studi di Napoli, Aversa (CE), Italy3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Computer Science Department, USTHB, Algiers, Algeria3
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovak Republic3
National Laboratory Astana (NLA), 53 Kabanbay Batyr Avenue, Astana, Kazakhstan3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Department of Computer Engineering, Maharashtra Institute of Technology, Kothrud, Pune, India3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
Information and Communication Centre, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT, 2601, Australia3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Dept. of CS&E, IIT Madras, India3
Department of Computer ScienceJohns Hopkins University3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
School of optoelectronic science and engineering of UESTC, Chengdu3
Department of Electrical Engineering, Al Isra University, Jordan3
Center for Research on Intelligent Perception and Computing3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Shanxi University, Shanxi Province, China3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Information Technology, SSN College of Engineering, Chennai, India3
NTT Communication Science Laboratories3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Computer Science, University of California, Los Angeles, CA, USA3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
Electrical-Electronics Engineering Department, Eskisehir Osmangazi University & Anadolu University, Eskisehir Osmangazi Universitesi, 26480, Turkey3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Dept. of ECE, SVEC, Tirupati, AP3
Institute for Human-Machine Communication, Technische Universität München3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
State Grid Shanxi Electric Power Research Institute, Taiyuan, China 0300013
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
School of Information and Communication Engineering / Center for Robotics, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
GSCST Seoul National University, Department of Transdisciplinary Studies, Seoul, Republic of Korea3
Nuremberg Institute of Technology Department of Computer Science3
Information and media processing laboratories, NEC Corporation3
Institute of Intelligent Systems for Automation, Italian National Research Council, via Amendola 122 D/O, Bari, Italy3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
IBM Research - Tokyo3
Computer Vision and Geometry Group, Institute for Visual Computing, Computer Science Department, ETH Zürich, 8092, Switzerland3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
University of California, Riverside, Riverside, CA3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA)3
Department of Avionics, IIST, Trivandrum, India3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Security Technology Department, Fraunhofer Institute for Production Systems and Design Technology IPK, Berlin, 10587, Germany3
Dept. of Inf. Technol., Okayama Univ., Japan3
IDSIA, USI and SUPSI Galleria 2, 6928 Manno-Lugano, Switzerland3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
Department of Artificial Intelligence, Universidad Veracruzana, Sebastián Camacho No. 5, Xalapa, 91000, Mexico3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, San Diego, CA, USA3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, La Jolla, CA, USA3
University of California, San Diego, CA3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Florida State University Department of Electrical end Computer Engineering, Tallahassee, 32310 USA3
Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology - Paraná (UTFPR), Curitiba, Paraná, Brazil3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
University of California, Berkeley, United States3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, 210096, China3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
Department Zhejiang University, Computer Science and Technology, Hangzhou, China3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
Dept. of Electrical Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa Genoa, Italy3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
Panasonic System Networks3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
133
123
Department of Computer Science, The University of Warwick, Coventry, UK3
School of Computer Science and Software Engineering University of Wollongong, Australia3
Electrical Engineering3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
School of Electrical and Electronic Engineering, Singapore3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands3
San Diego Supercomputer Center, 9500 Gilman Drive La Jolla CA, 92093-0505, USA3
Institute of Power and Applied Electrical Engineering, FEI STU in Bratislava, Slovak republic3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Toronto Rehabilitation Institute, Toronto, Ontario, Canada and University of Toronto, Toronto, Ontario, Canada3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Graduate School of Information Science and Technology, Hokkaido University N-14, W-9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan3
Department of CSE, RMK Engineering College, Chennai3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
Department of Electrical Engineering, University of California, Riverside, 925213
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
SMILES Laboratory, Xi’an Jiaotong Univeristy, Xi’an, China3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
Information Technologies Institute / CERTH, Thessaloniki, Greece3
Dublin Institute of Technology, Dublin, Ireland3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Data Science Department EURECOM, Biot, France3
Department of Information Engineering at the University of Padua, Italy3
University of California, Riverside, Riverside, CA, USA3
Dept. of Comput. Sci., London Univ., UK3
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil3
Department of Electrical and Computer Engineering (ECE) Isfahan University of Technology (IUT), Isfahan, 84156-83111, Iran3
Department of Computer Science, Stanford, CA 94305, U.S.A.3
Department of computer science, Beijing Institute of Graphic Communication, China3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
School of Communication and Information Engineering3
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
Department of Computer Science, School of Computing, National University of Singapore Computing 1, 13 Computing Drive, Singapore 1174173
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Dept of CSE, IIT, Guwathi, India3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
One Microsoft Way, Redmond, WA, USA3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Universidad de Las Palmas de Gran Canaria (ULPGC), Spain2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Scientific Association of Electrical and Electronic Engineering, Islamic Azad University Central Tehran Branch, Iran2
Department of Artificial Intelligence University of Groningen, Bernoulli Institute, Groningen, The Netherlands2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Computer Science Department Technical University of Cluj-Napoca, Romania2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Department of Statistics and the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA2
Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu2
School of Information Science, Computer and Electrical Engineering, Sweden2
Active Safety CAE, Volvo Cars Corporation Department, Volvo Cars AB, Sweden2
Dept. of Signals and Systems, Chalmers Univ. of Technology, Gothenburg, 41296, Sweden2
Electr. Eng. & Comput. Sci. Dept., Northwestern Univ., Evanston, IL, USA2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Department of ECE, UCEK, JNTUK, Kakinada2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Department of Computer Science and Engineering, University of Califonia, San Diego2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Kampus Jasin, 77300 Merlimau, Melaka, Malaysia2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Dept. of Computer Science and Applications, Gandhigram Rural Institute - DU, Dindigul, India2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
Laboratoire LITIS EA 4108, Normandie Université, Université de Rouen, France2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
DFKI GmbH, Germany2
Tencent Inc2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
University of Blida 1, Department of Computer Science, Algeria2
eBay Inc., San Francisco, CA, USA2
eBay Inc., San Jose, CA, USA2
CASIA, Research Center for Brain-inspired Intelligence2
First Department of Neurology, Masaryk University and St. Anne's University Hospital, Pekarska 53, Brno, 65691, Czech Republic2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
Department of Geography, The George Washington University, District of Columbia, United States of America2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
Department of electronics and communication, Visvesvaraya National Institute Of Technology, Nagpur, India2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Research department, Herta Security, Barcelona, Spain2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
Dept. of ECE and Digital Technology Center, Univ. of Minnesota, USA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Dept. of Computer Science and Technology, Tsinghua Univ., Beijing 100084, China2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
ENSTA ParisTech U2IS/Robotics & Vision, Université de Paris-Saclay2
Department of Computer Science TU Darmstadt, Germany2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
Dept. Electronics, Telecomm. and Inform. Technol., “Politehnica” University of Bucharest, Romania2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Computer Science and Communication Engineering Jiangsu University, Zhenjiang, 212013 China2
Dept. of Computer Science and Engineering, Kalpataru Institute of Technology, Tiptur, India2
Dept. of Computer Science and Engineering, Government Engineering College, Hassan, India2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
School of Computing, Mathematics and Digital Technology2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
Department of General Surgery, Carolinas Medical Center, United States of America2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Dept. for Video Exploitation Systems (VID), Fraunhoferstr. 1, 76131 Karlsruhe, Germany2
Center for Autonomous Systems , Royal Institute of Technology, Sweden2
University of British Columbia Department of Electrical and Computer Engineering2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
Department of Computer Science, College of Information Engineering, Northwest A&F University, Yangling, China2
Computer Science Department at Stanford University, CA, 94309 USA2
School of Engineering, University of California, Merced, CA2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
Dept. of Electronics & Communication, Siddaganga Institute of Technology, Tumkur, India2
CPGEI, Universidade Tecnologica Federal do Paraná2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Dept. of Electrical and Computer Engineering, University of California, Riverside, USA, 925212
Department of Electronics & Communication Engineering Mar Baselios College of Engineering & Technology Kerala, India2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of California, Riverside, 92521, United States of America2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Department of Computer and Information Science, Gannon University, Erie, PA 16541, USA2
FORTH, Greece, Heraklion, Greece2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Department of Electrical and Computer EngineeringNational University of Singapore2
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science and Information Engineering National Taiwan Normal University2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
University of California, Merced, CA, 5200, US2
Department of Intelligent Robot System Research Team, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea2
Computer Science Department Technical University of Cluj-Napoca2
HSA Systems, Aalborg Denmark2
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
Centre de Visió per Computador Universitat Autònoma de Barcelona Bellaterra, Barcelona 08193, Spain2
Shinshu Univ., Faculty of Eng.2
Univ. of Kitakyushu, Faculty of Environmental Eng.2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
University of Kentucky Department of ECE Lexington, Kentucky2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Department of Computer Engineering, Vishwakarma Institute of Information Technology, Kondhwa (Bk.), Pune 411048, India2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Computer Science dept. Technion, Haifa 32000, Israel2
Department of Electrical and Computer Engineering at the Stevens Institute of Technology, Hoboken, NJ, USA2
Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island, Kingston, USA2
Dept. of Electron. & Inf. Eng., Honu Kong Polytech. Univ., Hong Kong, China2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Department of Mechanics, Mathematics and Management, Politecnico di Bari, viale Japigia 182, Italy2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Department of Computer Science and Engineering2
Department of Computer Science at Rutgers University, NJ, USA2
Department of Computer Engineering, MIT Pune, India2
State Grid Zhejiang Ninghai county power supply company2
College of Control Science and Engineering, University of Zhejiang2
School of Information Science and Engineering Ningbo Institute of Technology, Zhejiang University Ningbo, Zhejiang Province, 315100, China2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
CS Dept., UFMG & Kunumi, Brazil2
University of California, Berkeley, EECS Department2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
Inf. Syst. Dept., Buckingham Univ., UK2
Elektrik ve Elektronik Mühendisliği Bölümü, ODTÜ, Ankara, Türkiye2
Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece2
Institute of Software Chinese Academy of Sciences (ISCAS)2
Department of Electrical Engineering, Federal University of Technology, Curitiba, Paraná, Brazil2
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
University of California, Berkeley, Berkeley2
Google Inc2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Chandigarh Engineering College, Landran, Mohali2
ECE, Chandigarh Engineering College, Landran, Mohali2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
Hankou College, Wuhan, China2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Fraunhofer IOSB, Karlsruhe, 76131, Germany2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
National Great Rivers Research and Education Center, Alton, IL, USA2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
RoboVision, Gent, Belgium2
Technology Campus De Nayer, EAVISE, KU Leuven, Belgium2
Department of Computer Science - University of Toronto, 10 King's College Road, Toronto, Canada2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
School of Engineering Newcastle University, ISC Research Group, UK2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
Department of Computer Science, National University of Emerging and Computer Science, Karachi, Pakistan2
Department of Computer Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
Biometric and Imaging Processing Laboratory (BIPLab)2
Research and Academic Computer Network (NASK)2
Carmine Senatore Exponent, Inc.2
Yahoo Labs, New York, NY, USA2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli - 620015, Tamil Nadu, India2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Department of CS&E, IIT Madras, India2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil2
IRIP, School of Computer Science and Engineering, Beihang Universtiy, Beijing 100191, China2
Department of Perception Engineering, University of Tuebingen, Germany2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
School of Electrical Sciences, IIT Bhubaneswar, Bhubaneswar, India2
JD Finance, Beijing, China2
Dept. of Comput. Sci. & Eng., Michigan State Univ., USA2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
Department of Instrumentation and Control, College of Engineering Pune, India2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Electrical Engineering Department Jadavpur University Kolkata, India2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
Department of Computer Applications, National Institute of Technology, Tiruchirapalli, Tamil Nadu, India2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
Institute for Infocomm Research at A*STAR, Singapore2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
Microsoft Research&University of Washington, Seattle, WA, USA2
German Institute for Artificial Intelligence & University of Kaiserslautern, Kaiserslautern, Germany2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
School of Engineering, Griffith Univeristy, Queensland, Australia2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
Department of Industrial Design, Eindhoven University of Technology Eindhoven, The Netherlands2
University of California, San Diego; ATR, Kyoto, Japan2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
142
Dept. of Electrical Engineering, LUMS, Pakistan2
Media Computing Group, St. Pölten University of Applied Sciences, Austria2
NRU Higher School of Economics, Moscow, Russia2
Department of Industrial Design., Eindhoven University of Technology. Eindhoven, Netherlands2
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa - Genoa, Italy2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
School of Business Northwest Normal University, Lanzhou, China2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
IT Department, SSN College of Engineering, Chennai, India2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Dept. of Computer Science and Electrical Engineering, GSST - Kumamoto University Kumamoto, Japan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. of IT CEC, Landran, Mohali, India2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. Of. Tech., Bangalore-560054, India2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China2
Université de Sherbrooke, MOIVRE, Sherbrooke, J1K 2R1, Canada2
Federal University of Technology-Paraná, Curitiba, Brazil2
National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Bilgisayar Mühendisliği Bölümü, Erzincan Üniversitesi, Türkiye2
University of Cambridge Computer Laboratory, 15 JJ Thomson Avenue2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of CSE, GGITS, Jabalpur2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
School of Computer Science and Technology2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
School of Electrical Engineering and Computer, Science National University of Sciences and Technology, Islamabad, Pakistan2
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
Department of Computer Science, CUNY Graduate Center, New York, NY2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
HAN University of Applied Sciences, Nijmegen, The Netherlands2
Universidade do Porto, Porto, Portugal2
Dept. of Electr. Eng., Fed. Univ. of Parana, Curitiba, Brazil2
IST/ISR, Lisboa, Portugal2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Department of Computer EngineeringKhalifa University, UAE2
Department of Simulation and Graphics, University of Magdeburg Universitätsplatz 2, 39106 Magdeburg, Germany2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Knowledge e-Learning Research Group2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Cornell Lab of Ornithology, USA2
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Bilgisayar Mühendisliği, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye 068002
Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India2
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Dept. of Comput. Sci. & Eng., Univ. of California, Riverside, CA, USA2
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
TCL Research America, San Jose, CA 951342
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea2
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
Dept. of Computer Science & Engg. IIT Bombay2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
School of Electronic Engineering and Computer Science Queen Mary University of London2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Taiger, Spain2
Department of Information and Communication Engineering, Arulmigu Meenakshi Amman College of Engineering, Vadamavanthal, Thiruvannamalai, Tamilnadu2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
Software Engineering Institute, Pittsburgh, PA2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
Department of ICT, FM University, Balasore, Odisha, India2
Department of CSE, Tezpur University, Napaam, Assam2
NASA's Goddard Space Flight Center2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
Laboratory of Inverses Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications University of 08 Mai 1945 - Guelma -, Algeria2
Center for Research in Intelligent Systems, University of California, Riverside, CA, 925212
Department of Mathematics, Universitas Inonesia, Depok, Indonesia2
Department of Physiology & Pharmacology, School of Medicine, Wake Forest University, Winston-Salem, NC, USA2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Dept. of Newmedia, KGIT, Seoul, Republic of Korea1
Bilgisayar Mühendisliği Bölümü, ITÜ1
School of Comp. Eng., NTU, Singapore1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Mühendislik ve Doğa Bilimleri Fakültesi, Sabancı Üniversitesi, İstanbul, Türkiye1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Department of Electronic Engineering Shanghai Jiao Tong University1
Department of Electronics and Telecommunication, College of Engineering Roorkee, India1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
KU Leuven, Leuven, Belgium. kurt.cornelis@esat.kuleuven.be1
KU Leuven, Leuven, Belgium. nico.cornelis@esat.kuleuven.be1
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Thoraxklinik-Heidelberg GmbH, Germany1
Inst. for Infocomm Res., Singapore1
Bilgisayar Mühendisliği Bölümü, Iğdır Üniversitesi, Türkiye1
Institute for Infocomm Research, Connexis South, Singapore1
National Chung-Shan Institute Science and Technology1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN, USA1
Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India1
CWI, Amsterdam, Netherlands1
VU University Amsterdam, Amsterdam, Netherlands1
Dept. Electronics & Communication Engineering Karunya University, India1
Department of Emergency Medicine, Singapore General Hospital, Singapore1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Translational Research Department, Residual Tumor and Response to Treatment Laboratory, RT2Lab, Institut Curie, Paris, France1
Pathology Department, Institut Curie, Paris, France1
University of Edinbrugh, Edinburgh, UK1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electrical Engineering Department, University of California, Los Angeles1
Université Clermont-Auvergne1
Wisimage1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China and Anhui Institute ...1
Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China1
Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
Quantitative Imaging, CSIRO Data61, Australia1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Dept. Clinical Psychology University, College London London, United Kingdom1
The University of Michigan, Ann Arbor, MI, USA1
Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, India1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia1
Department of Control and Information Systems Engineering, National Institute of Technology, Kurume Collage, Fukuoka, Japan1
Control Eng. & the Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Taipei, Taiwan1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Korea1
Department of Electronics and Communication Engineering, Indraprastha Institute of Information Technology, Delhi, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Tractebel Energia, Saudades do Iguaçu, PR, Brazil, 85568-0001
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
Tractebel Energia S. A., Saudade do Iguaçu, PR, Brazil1
Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
University of Nebraska State Museum, Lincoln, NE, USA1
TERC, Cambridge, MA, USA1
University of Nebraska, Lincoln, Lincoln, NE, USA1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India1
School of Software, Xi’an Jiaotong University, Xi’an, China1
Department of Computer Science and Information Systems, London, U.K.1
Department of Automation, Beijing, China1
Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India1
Senior Member, IEEE1
Universidade de Vigo, Spain1
JD AI Research, Beijing, China1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
Department of CSE, PSIT COE, Kanpur (India)1
Department of Computer Science, Madrid Open University, Madrid, Spain1
School of Software Engineering, Jinling Institute of Technology, Nanjing, China1
Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA1
Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA1
Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China1
KK Women’s and Children’s Hospital, Singapore1
IRSEEM1
Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
University of Nottingham Ningbo China, Ningbo, China1
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
Laboratoire LITIS EA 4108, Normandie Université, INSA de Rouen, France1
Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia1
School of Computer Science and Techonolgy, Beiing Institute of Technology Beijing, China1
ECE, National University, of Singapore, Singapore1
Dept. for Sensor Data and Information Fusion, Fraunhofer FKIE, Germany1
University, Kowloon, Hong Kong1
- R-D Department, CRIM, 550 Sherbrooke West, Suite 100, Montréal, Canada1
Statistics Department, Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu1
CEFRIEL, Milan, Italy1
Department of Electronics and Communication Engineering, Project Associate-TEQIP, Directorate of Technical Education, Chennai, India1
School of Computer and Communication Engineering, Light Engineering Institutes of Zhengzhou, Zhengzhou, China1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA1
Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA1
Dept. of Information Tech., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Dept. of Electronics & Commu. Engg., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Dept. of Computer Engineering, A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Department of Computer Science and Engineering, National Institute of Technology, Uttarakhand, India1
Electric-Electronics Eng. Dpt., Halic University, Istanbul, Turkey1
Electrical and Electronics Department, Politecnico of Bari, Bari, Italy1
Dept. of Computer, Shaanxi Electric Power' staff Training Center, Xi'an, China1
University of Quebec in Outaouais, Department of Computer Science, Gatineau, Canada1
NICTA Canberra Research Laboratory, Australia1
Electrical Engineering Department Semnan University Semnan, Iran1
Department of Telecommunication, B.M.S College of Engineering, Bangalore, India1
School of Automation Guangdong University of Technology, Higher Education Mega Center, Guangzhou, China1
Nvidia Research1
Department of Rail Transit Engineering, Chongqing Vocational College of Transportation, Chongqing, 402247, China1
Graduate School of Informatics and Engineering, University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Quang Binh University, Dong Hoi City, Vietnam1
St. Petersburg Department, Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics1
Department of Computer Science, Banasthali Vidyapith, Banasthali, India1
Computer Science and Engineering Department, SP Memorial Institute of Technology, Kaushambi, India1
Department of Electronics and Communication Engineering, P.P.G. Institute of Technology, Coimbatore, India1
Department of Electronics and Communication Engineering, Institute of Road and Transport Technology, Erode, India1
Department of Neurology, Faculty Hospital and Masaryk University, Jihlavska 20, Brno, 63900, Czech Republic1
Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA1
Satellite Department, Agency for Science, Technology and Research, Singapore1
Visual Computing Department, Agency for Science Technology and Research, Singapore1
Department of Electrical Engineering, India1
Department of Psychology at the University of Northern British Columbia1
Department of Electronics and Communication Engineering, JNTU College of Engineering, Hyderabad, India1
Department of Physics, JNTU College of Engineering, Kakinada, India1
Department of Computer Science and Engineering, JNTU College of Engineering, Kakinada, India1
Department of Telecommunications and Information Processing, Image Processing and Interpretation, UGent/iMinds, Ghent, Belgium1
School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia1
Department of Computer Science, UNC-Charlotte, Charlotte, USA1
Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain1
Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China1
Data Science Program, The George Washington University, District of Columbia, United States of America1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
Singapore University of Technology and Design & Massachusetts Institute of Technology, Singapore, Singapore1
School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
Special machinery research institute, Beijing, China1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
191
181
171
161
151
Guilin University of Technology, Guilin, Guangxi1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Lecturer of Computer Science at Higher Education Department, Khyber Pakhtunkhwa, Pakistan1
Department of Electrical and Computer EngineeringJohns Hopkins University1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
ICTEAM Institute, Université Catholique de Louvain, Belgium1
ICTEAM Institute, Université Catholique de Louvain, Belgium and Department of Information and Communication Engineering, Institute of Technology of Cambodia, Cambodia1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland1
Facebook Research, New York, New York United States1
Institute of Computational Science, Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
Department of Education and Information, Guizhou Finance school, Guiyang, China1
Graduate School of the Chinese Academy of Sciences, Beijing, China1
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
NEC Laboratories1
Department of Mechanical Engineering, Madurai, Tamilnadu, India1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
School of Computer Science and Technologym Huazhong University of Science and Technology, China1
Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia1
Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland1
Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China1
Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China1
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
Department of Informatics and Telecommunications, National and Kapodestrian University of Athens, Athens, Greece1
Department of Information Technology, Devi AhilyaVishwavidyalaya, Indore(M.P.)1
Aalto University School of Science1
Aalto University School of Science and Tampere University of Technology1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Univ. of Sydney, NSW, Australia1
Department of Computer Science, UNC Charlotte, United States of America1
Department of Information Technology, SSN College of Engineering Chennai, India1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
Department of Computer Science and Engineering, University of California, Riverside, USA1
Nanyang Technological University School of Computer Engineering1
Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Google DeepMind1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Center for Comparative Medicine, University of California, Davis, California, U.S.A.1
London School of Economics, London1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India1
Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea1
Department of Electrical Engineering, Imperial College, London, UK1
Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Department of Information Technology, YCCE, Nagpur, India1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India1
Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India1
Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy1
Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India1
Agora University of Oradea, Oradea, Romania1
Faculty of Electronics, Telecommunications and Information University Politehnica of Bucharest, Bucharest, Romania1
Computer Science Department, University Politehnica of Bucharest & IT Center for Science and Technology, Bucharest, Romania1
Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 283011
Computer Science Dept. University of Maryland College Park, MD 207421
PSI-ESAT1
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China1
Fujitsu Laboratories Ltd., Kanagawa, Japan1
School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India1
Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Department of ECE Marian Engineering College Trivandrum, India1
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong1
Electrical Engineering Department, IIT Roorkee, India1
Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India1
Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India1
School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de1
Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel1
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States1
Project Lead Persistent Systems Ltd1
Center for Neuropsych Research of Traumatic Stress, Charles University Department of Psychiatry, Prague, Czech Republic1
INRIA Bordeaux Sud Ouest, France1
Moscow State University Department of Computational Mathematics and Cybernetics, Moscow, Russia1
Administrative Office of Computer School of Pingdingshan University, Pingdingshan, China1
Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala1
Dept. of EC Engineering, LBS Institute of technology for Women, Poojapura, Trivandrum, Kerala1
Microsoft Live Labs Research, ganghua@microsoft.com1
Beihang Univ, Dept Measurement Control & Informat Technol, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, and the Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA1
Departments of Computer Science and Applied Mathematics, Stony Brook, NY 11794, USA1
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India1
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Tennessee Technological University, Box 5101, Cookeville, 38505, United States1
Emory University School of Medicine, Atlanta, USA1
Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 100291
I-Fusion Technologies, Inc, Germantown, MD, USA1
SMME, National University of Sciences & Technology, Islamabad, Pakistan1
Drake University, Des Moines, IA, USA1
Computer Engineering Department PCCOE, Pune, India1
PCCOE Information Technology Department PCCOE, Pune, India1
Key Laboratory of Child Development and Learning Science, Ministry of Education, School of Biological Sciences and Medical Engineering, Southeast Universit, Nanjing, China1
Psychology Department at California State University, Fullerton, California, US1
Information Systems and Decision Sciences Department at California State University, Fullerton, California, US1
School of Control Science and Engineering DUT, Dalian, China1
Department of Computer Science, Fuzhou Polytechnic, Fuzhou, China1
Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA1
Psychology Department, University of California, Santa Barbara, CA 93106 USA1
Dept. of computers and communications, Faculty Of Eng., Delta Univ. for Science and Technology, Gamasa City, Egypt1
Department of Electronics Engineering Pusan National University, Busan, Korea1
Department of Electronics and Communication, NIT Calicut, Kerala, India1
Department of Applied Sciences, Ecole Normale Supérieure de Bujumbura, Bujumbura, Burundi1
National University of Singapore & National University of Defense Technology, Singapore, Singapore1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Department of Human Robot interaction Research Section, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Department of Ankara Digital Forensic Ankara, Forensic Medicine Institution, Ankara, Turkey1
Department of Computer Engineering, Faculty of Engineering, Kocaeli University1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
Vision Semantics Ltd1
State Grid Zhangjiakou, Power Supply Company, Zhang Jiakou, China 0750001
State Grid Shanxi Electric Power Company, Taiyuan, China 0300011
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Federal Police - Brasilia - Brazil1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Guizhou Radio Film and Television School, Guizhou, P. R. China1
Department of Electrical Engineering, IIT, Roorkee, India1
Univ. of La Rochelle, Faculty of Eng.1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Computer Science Department, University of California, Los Angeles, CA, USA1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
Kyoto University of Foreign Studies, Japan1
Statistics, University of California, Los Angeles, USA1
USC School of Cinematic Arts1
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Makkah Technology Valley, Saudi Arabia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
DeePhi1
Department of CSE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Department of ECE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Dept. of E.C.E, CE, JNTUH, INDIA1
Dept. of E.C.E, UCE, KU, INDIA1
CS Dept., UFMG, Brazil1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Pasadena, USA1
Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea1
University of California, Santa Barbara, GOLETA, CA, USA1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
School of Information Science Meisei University, Tokyo, Japan1
University of California, Santa Barbara, CA1
Department of IT, UIT RGPV, BHOPAL, India1
University of Oulu & Southeast University, Oulu, Finland1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Department of Electrical Engineering, Federal University of Technology, Pato Branco, Paraná, Brazil1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China1
Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
Department of Physiology, University of California, San Francisco, San Francisco, USA1
Department of Neurology, University of California, San Francisco, San Francisco, USA1
Department of Experimental Psychology, Oxford, UK1
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA1
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran1
Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil1
Dept. of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Co, Louth Ireland1
Department of Computer Science & Engineering, SNS College of Technology, Coimbatore, India1
Computer Science Department, Indian School of Mines, Dhanbad, India1
Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China1
The military service of Taiwan1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA1
Arcelor Mittal Maizières Research SA, France1
Curtin University Department of Mechanical Engineering, Perth, Western Australia 60121
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania1
Department of Computer Science, University of California, Irvine, USA1
Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, 76131, Germany1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
School of Electrical and Computer Engineering, Oklahoma State University (OSU), USA1
Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia1
Universidad de Concepción, Department of Electrical Engineering, Concepción, Chile. Email: mfigueroa@die.udec.cl1
School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China1
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada1
University of California, Los Angeles, USA1
University of California, San Diego, San Diego, CA, USA1
Department of Human-Machine Communication at the Faculty for Electrical-and Information Engineering, Technische Universität München (TUM), Germany phone: +491
Department of Computer Science and Technology, NUDT, Changsha, 410073, China1
Department of Electronics, BVM Engineering College, Vallabh Vidhyanagr, Anand, Gujarat, India1
Hanoi University of Agriculture, Vietnam1
CCIA Department, UPV EHU, Computational Intelligence Group, San Sebastian, Spain1
Department of Orthopedic Surgery, British Columbia Children’s Hospital, Vancouver, Canada1
Department of E.C.E, JNTUACE, Ananthapuramu, India1
Department of E.C.E, MITS, Madanapalle, India1
Department OF E.C.E, JNTUA, Ananthapuramu, India1
Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt1
Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya1
College of Computer and Information Sciences, Karachi Institute of Economics and Technology, Karachi, Pakistan1
Dept. of Information Engineering, Xiangtan Vocational Technical College, 411102, China1
Dept. of Computer Engineering Kuwait University1
UT Austin Computer Science Dept., TX 78712, USA1
Jiangsu Department of Water Resources, Nanjing, China1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
School of Computer ScienceThe University of Adelaide1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Biomedical Engineering Department of the School of Electrical and Computing Engineering, and the Biomedical Engineering Centre, State University of Campinas (UNICAMP), Campinas, Brazil1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
RF Exploitation Branch, U.S. Air Force Research Laboratory, Dayton, OH, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
UC Berkeley EECS and ICSI, CA, United States1
Dept. Mathematics and Computer Science, UB, Spain1
Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India1
Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology - Paraná (UTFPR), Pato Branco, Paraná, Brazil1
Institute for the Management of Information Systems, R.C. Athena1
Department of Gastroenterology, Beijing Chao-Yang Hospital, Beijing, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
Department of mechatronic technology of National Taiwan Normal University1
Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India1
Dept. of Math., Shenzhen Univ., China1
Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Electrical Engineering, The City College of New York, New York, USA1
Universität Politecnica de Valencia, Valencia, Spain1
King's College, London, UK1
Universidad de los Andes, Colombia1
Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China1
Department of Computer and Information Science, University of Mississippi, University, MS1
SMU, Singapore1
Department of Electronics, Vishwakarma Institute of Technology Pune, India1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
Department of CSE, National Institute of Technology, Puducherry, Puducherry, India1
Facebook AI Research, Seattle, WA 981091
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn1
Department of Computer Engineering and Communications, Faculty of Technical Sciences, 21000 Novi Sad, Serbia1
Yahoo! hex@yahoo-inc.com1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
Lunit Incorporation, Seoul, Korea1
Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India1
Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India1
University of Central Arkansas, Conway, AR, USA1
Dept. of Telecommunications, HCM City Uni. of Technology, Vietnam1
Dept. of Mathematics and Computer Science, Texas A&M Uni.-Commerce, USA1
Microsoft Research&Stanford University, Stanford, CA, USA1
Department of Electrical Engineering, Université de Biskra, Biskra, Algeria1
University of Sao Paulo and Ribeir˜a Preto Medical School Ribeira Preto, Sao Paulo, Brazil1
Department of Informatics, Federal Institute Goiano - IF Goiano Ceres, Goias, Brazil1
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil1
Department of Geography Minjiang University, China1
Dept. of Computing University of Leeds Leeds, UK, LS2 9JT1
Universidad de los Andes, Colombia, USA1
School of Information Systems Singapore Management University, Singapore1
School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China1
School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik1
ITI Department Telecom Bretagne, Brest, France1
Dept. of Electronics and Telecommunication Engineering, Assam Engineering College, Guwahati, Assam, India1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
Technicolor1
INRIA Rennes1
Dept. of Comput. Inf. & Sci., Delaware Univ., Newark, DE, USA1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
EECS Department at UC Berkeley, Berkeley, USA1
Department of Digit Technology, No.38 Research Institute of CETC, hefei, China1
Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
Department of Telecomm. Engineering, National, University of Computer &Emerging Sciences (NU-FAST), Peshawar, Pakistan1
Department of Neurology, University of Munich at Marchioninistrasse 15, 81377, Germany1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Boston, USA1
Boston, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat (India)1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
School of Mechatronic Engineering and Automation, Robotics, Shanghai, China1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Institute of Computer Science, FORTH1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Computer Science Department, University of California, Los Angeles, USA1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
Intel Labs Seattle, Seattle, WA 98105, USA1
Visual Computing Group, Microsoft Research Aisa1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Department of Pathology, University of California, San Francisco, 94143, USA1
Department of Radiology & Biomedical Imaging, University of California, San Francisco, 94143, USA1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Noah's Ark Lab, Huawei, Shenzhen, China1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
Department of Computer Engineering Faculty of Engineering, MUT1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
School of Engineering, Qufu Normal University, Rizhao, China1
College of Science, Liaoning University of Technology, Jinzhou, China1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
Dept. of CSE CEC, Landran, Mohali, India1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Aalborg, University, Denmark1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA1
Department of New Media, Korean German Institute of Technology, Korea1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
Salem State University, Salem, MA, USA1
School of Communication and Information Engineering Shanghai University Shanghai, China1
CS dept., National Institute of Development, Administration, Thailand1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
Computer Science and Engineering; University of California, San Diego, La Jolla, CA, USA1
Cognitive Science, Hampshire College1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Tractebel Energia, São Jorge do Oeste, Brazil1
Faculty of Sciences and IT, Zarqa University, P. O. Box 2000, 13110 Jordan1
Computer Science Department, Boise State University, ID 83725, USA1
Computer Science Department, College of Computer Science, King Khaled University, Abha, Saudi Arabia1
CIS Department, Faculty of Computer and Information Technology, Jordan University of Science & Technology, Jordan1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
VRVis Research Center for Virtual Reality and Visualization,n Graz, Austria, Email: gruber@vrvis.at1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
Film Department ELTE University, Budapest, Hungary1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
State University of Sao Paulo in São Carlos, São Carlos, Brazil1
Department of Computer Science, Faculty of Automatics and Computer Science, “Politehnica” University of Bucharest, Romania1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And Technology for, Women, Nagpur, Maharashtra, India1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And, echnology for Women, Nagpur, Maharashtra, India1
University of Southern California University of Southern California, Los Angeles1
Codespring LLC, Cluj-Napoca, Romania1
Electrical Engineering Department, University of California, Santa Cruz, USA1
DAQRI Inc., Los Angeles, California, USA1
Minneapolis, USA1
Bilgisayar Mühendisliği Bölümü, Atatürk Üniversitesi, Erzurum, Türkiye1
UMass Lowell, USA1
New Delhi, India1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
Department of CSE, PDPM-IIITDM, Jabalpur1
Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore 3084331
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
National Cheng-Kung University, Tainan, Taiwan Roc1
VCC SIAT Shenzhen & University of Konstanz, Konstanz, Germany1
Department of Pediatrics, Maxima Medical Center Veldhoven, The Netherlands1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
Intel Science and Technology Center on Pervasive Computing, Seattle, WA 98195, USA1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Corporate Innovation OSRAM GmbH1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Friedrich-Schiller-Universität Jena, Germany1
Robert Bosch Car Multimedia GmbH, Hildesheim, Germany1
Informatics and Computer Departments, Electronic Engineering Polytechnic, Institute of Surabaya, Surabaya, Indonesia1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Vietnam National University of Agriculture1
OR1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
Department of Computer Science & Engineering, P.A. College of Engineering, Mangalore, Karnataka, India1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong1
Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Electrical and Computer Engineering,. North South University, Bashundhara, Dhaka, Bangladesh1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
INESC-ID and IST/UTL, Lisboa, Portugal1
IT and IST/UTL, Lisboa, Portugal1
INESC-ID, Lisboa, Portugal1
Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India1
Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India1
Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran1
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China1
Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
Communication System Engineering, Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India1
Department of Medicine, University of British, Columbia, Canada1
School of Engineering of São Carlos, USP, São Carlos, Brazil1
Department of IT Sree Vidyanikethan Engineering College Tirupati, India1
Department of ECE Anurag Group of Institutions, Hyderabad, India1
Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India1
ACM Professional Specialist in Artificial Intelligence1
Department of Statistics and Computer Science, Los Angeles, CA1
Cornell Tech1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
School of EEE, NTU, Singapore1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
NYU, USA1
BYU, USA1
Business School of Sichuan University, Chengdu, China1
Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India1
University of Oxford and Nankai University, Nankai, Tianjin, China1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
UC Berkeley/ICSI, California, United States1
UC Davis, 1 Shields Ave, Davis, CA 95616, United States1
An Independent Researcher1
Computer Science &Engg., School of Computer Science & IT DAVV, Indore, India1
Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA1
Department of EECS, University of California, Berkeley, USA1
Department of Information Network Technology, Hsiuping Institute of Technology, No. 11, Gongye Rd., Taichung, 412, Taiwan1
Department of Engineering Technology; University of North Texas1
Department of Computer Science and Engineering; University of North Texas1
Research Center for Information Technology Innovation (CITI) and Institute of Information Science (IIS), Academia Sinica, Taipei, Taiwan1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
Reallusion Corporation1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
National Sun Yat-sen Unisersity, Taiwan1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of ECE, CVR College of Engineering, Hyderabad1
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China1
College of William and Mary1
LIP6, UPMC Université Paris 06, Paris1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Department of Automation, USTC, China1
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel1
UCLA Center for Vision, Cognition, Learning and Autonomy and University of Hong Kong1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Department of Radiology, Chinese PLA General Hospital, Shenyang, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
MSR, New York, USA1
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. kriegman@cs.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. spmallick@vision.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. nalldrin@cs.ucsd.edu1
Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Department of Information, Compiègne University of Technology, 60200, France1
Magic Leap Inc., USA1
360 AI Institute and National University of Singapore, Singapore1
University of Bergen1
Exploratorium1
Koolsee MideaNet Company Limited, Hong Kong, China1
Paypal Innovation Team, Singapore1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
School of Information Science and TechnologyBeijing Forestry University1
Computer Vision and Robotics Research Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, USA1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
South Africa1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
\ No newline at end of file +Unknown Institutions from DOI

Unknown Institutions from DOI

Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA14
Center for Research on Intelligent Perception and Computing, CASIA14
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
Beijing, Haidian, China8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Multiphase Flow Research Center, Federal University of Technology–Paraná, Curitiba, Brazil8
Departamento de Informática, Universidade Federal do Espírito Santo, Vitória, Brazil7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Dept. of Comput., Hong Kong Polytech. Univ., China7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
University of California7
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
Dept. of Computer Science, University of California, Irvine6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Dept. of Comput. Sci., Houston Univ., TX, USA6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
Autonomous Systems Lab, ETH Zürich, Switzerland6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
Centre de Visi´o per Computador6
Information Technologies Institute / CERTH, Greece6
Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI), Federal University of Technology - Parana (UTFPR), Curitiba, Brazil6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
Dept. of Eng. Sci., Oxford Univ., UK6
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
University of California, Irvine, Irvine, CA, USA6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Siemens Healthcare, Malvern, PA, USA5
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil, 80230-9015
Defence Peace Safety and Security, CSIR Pretoria, South Africa5
Institute for Infocomm Research , Agency for Science, Technology and Research, Singapore5
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
Center for Imaging Science, Department of Biomedical EngineeringJohns Hopkins University5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan5
Institute of Information Science and Technologies of the National Research Council of Italy (ISTI-CNR), Pisa, Italy5
International University of Beirut - BIU, Beirut, Lebanon5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Mapua Institute of Technology, School of Electrical, Electronics and Computer Engineering, Manila, Philippines5
School of Automation Science and EngineeringSouth China University of Technology5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
University of California, Santa Cruz, Santa Cruz, CA, USA5
Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS5
Department of Electrical Engineering, University of California, Riverside5
Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná, Curitiba, Brazil5
Toronto Rehabilitation Institute, Toronto, Ontario, Canada5
Computer Vision Center, CS Dept. Universitat Autonoma de Barcelona, Spain5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India5
National Research University Higher School of Economics, Moscow, Russia5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Department of Computer Science, NC State University, Raleigh, U.S.4
Department of Information Technology4
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
The University of Chicago and Argonne National Laboratory, Chicago IL, USA4
Intc®Movidius, Advanced Architectures Group4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
Blekinge Institute of Technology, School of Engineering, Box 520, SE-372 25 Ronneby, Sweden4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Federal University of Technology–Paraná, Curitiba, Brazil4
Shanghai University School of Communication and Information Engineering Shanghai, China4
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China4
Department of Mathematics and Computer Science University of Basel4
LITIS laboratory4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
Toyota Central R&D Labs., Inc., Japan4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Department of Electrical and Computer Engineering, Federal University of Technology-Paraná, Curitiba, Brazil4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Department of Electronics and Communication Engineering4
Department of Innovation Engineering, University of Salento, Lecce, Italy4
School of Communication and Information Engineering, BUPT, Beijing, China4
Department of ECE, S.J.B Institute of Technology, Bangalore, India4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
Noblis, Bridgeport, WV, U.S.A.4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
IDSIA, USI/SUPSI, Lugano, Switzerland4
School of Information Renmin University of China, Beijing, China4
STAR Technologies, A DSCI Company, Eatontown, NJ USA4
Department of Computer Science, Cork Insititute of Technology, Cork City, Ireland, Michael4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
Department of Computer Science - University of Brasilia - Brazil4
Computer Science and Engineering, University of California, San Diego, La Jolla, California 920934
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
University of Yamanashi, Kofu, Japan4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Corporate Research and Development Center, Toshiba Corporation, 1, Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582, Japan4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
University of California, Santa Barbara, Santa Barbara, CA, USA4
AI Department, Ant Financial Services Group, Hangzhou, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
dept. Automation of Tsinghua University, Beijing, China4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Department of Computer Science University of Rochester, NY 14627, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Dept. of Electron., Alcala Univ., Madrid, Spain4
University of Rennes 1, Rennes, France4
Thales Research Departement, Thales Security Systems and Services, Osny, France4
Intelligent Systems Lab, University Carlos III de Madrid, Leganés, Spain4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Dept. of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Dept. of Inf. Technol., Turku Univ., Finland4
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
School of Mechatronic Engineering, UniMAP, Malaysia4
Smart Grid Energy Research Center (SMERC), University of California, Los Angeles, Los Angeles, California, USA4
114
104
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovakia4
Dept. of CS&IT, Mirpur University of Science & Technology (MUST), Azad-Kashmir, Pakistan4
Center for Cognitive Ubiquitous Computing (CUbiC) Arizona State University4
INRIA 2004 Route des Lucioles, BP 93,06902, Sophia Antipolis, France4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
LITIS Laboratory, INSA-Rouen, France4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
Learning Affect & Semantic Imaging Analysis Group, Indian Institute of Technology Ropar4
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. of Tech., Bangalore-560054, India4
School of Computer Science University of Hertfordshire United Kingdom4
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya (PENS), Kampus PENS, Jalan Raya ITS Sukolilo, Surabaya, 60111, Indonesia4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
Department of Geography Information Science, School of Geography Science4
Department of Electrical and Computer Engineering4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
University of Illinois Urbana-Champaign, Urbana, IL, USA4
Stanford University in the Computer Science department4
Department of Electronic Engineering; National Taiwan University of Science and Technology4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Google Brain4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
Qingdao Academy of Intelligent Industries, 266109, China4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada4
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
College of Computer Studies, Silliman University, Philippines4
Department of Technology College of Engineering and Technology, Virginia State University, Petersburg, VA, USA4
Institute for Infocomm Research, Singapore, Singapore4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, 768009, India3
Universidad del País Vasco (UPV-EHU), Donostia-San Sebastián, Spain3
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
School of Electronic Engineering / Center for Robotics / Center for Information in Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
Universität Autònoma de Barcelona3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
Wisimage, Université Clermont-Auvergne3
Data Science Research Laboratories, NEC Corporation, Japan3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
Institute for Systems Biology, Seattle, WA, USA3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
Multimodal Information Area, GRADIANT, Spain3
Department of automation, USTC, Hefei, China3
Cognitive Science department of Xiamen University, China3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
IE, Chinese University, of Hong Kong, Hong Kong3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
Department of Electrical and Computer Engineering The University of Texas at Austin3
School of Electrical Engineering VIT University Vellore, India 6320143
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
Dipartimento di Ingegneria Industriale e dell'Informazione, Seconda Università degli Studi di Napoli, Aversa (CE), Italy3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Computer Science Department, USTHB, Algiers, Algeria3
Institute of Power and Applied Electrical Engineering, Faculty of Electrical Engineering and Information Technology STU in Bratislava, Slovak Republic3
National Laboratory Astana (NLA), 53 Kabanbay Batyr Avenue, Astana, Kazakhstan3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Department of Computer Engineering, Maharashtra Institute of Technology, Kothrud, Pune, India3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
Information and Communication Centre, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT, 2601, Australia3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Dept. of CS&E, IIT Madras, India3
Department of Computer ScienceJohns Hopkins University3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
School of optoelectronic science and engineering of UESTC, Chengdu3
Department of Electrical Engineering, Al Isra University, Jordan3
Center for Research on Intelligent Perception and Computing3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Shanxi University, Shanxi Province, China3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Information Technology, SSN College of Engineering, Chennai, India3
NTT Communication Science Laboratories3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Computer Science, University of California, Los Angeles, CA, USA3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
Electrical-Electronics Engineering Department, Eskisehir Osmangazi University & Anadolu University, Eskisehir Osmangazi Universitesi, 26480, Turkey3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Dept. of ECE, SVEC, Tirupati, AP3
Institute for Human-Machine Communication, Technische Universität München3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
State Grid Shanxi Electric Power Research Institute, Taiyuan, China 0300013
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
School of Information and Communication Engineering / Center for Robotics, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China3
GSCST Seoul National University, Department of Transdisciplinary Studies, Seoul, Republic of Korea3
Nuremberg Institute of Technology Department of Computer Science3
Information and media processing laboratories, NEC Corporation3
Institute of Intelligent Systems for Automation, Italian National Research Council, via Amendola 122 D/O, Bari, Italy3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
IBM Research - Tokyo3
Computer Vision and Geometry Group, Institute for Visual Computing, Computer Science Department, ETH Zürich, 8092, Switzerland3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
University of California, Riverside, Riverside, CA3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA)3
Department of Avionics, IIST, Trivandrum, India3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Security Technology Department, Fraunhofer Institute for Production Systems and Design Technology IPK, Berlin, 10587, Germany3
Dept. of Inf. Technol., Okayama Univ., Japan3
IDSIA, USI and SUPSI Galleria 2, 6928 Manno-Lugano, Switzerland3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an, China,7100493
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
Department of Artificial Intelligence, Universidad Veracruzana, Sebastián Camacho No. 5, Xalapa, 91000, Mexico3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, San Diego, CA, USA3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
Computer Vision and Robotics Research Laboratory, University of California, San Diego, La Jolla, CA, USA3
University of California, San Diego, CA3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Florida State University Department of Electrical end Computer Engineering, Tallahassee, 32310 USA3
Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology - Paraná (UTFPR), Curitiba, Paraná, Brazil3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
University of California, Berkeley, United States3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, 210096, China3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
Department Zhejiang University, Computer Science and Technology, Hangzhou, China3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
Dept. of Electrical Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa Genoa, Italy3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
Panasonic System Networks3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
133
123
Department of Computer Science, The University of Warwick, Coventry, UK3
School of Computer Science and Software Engineering University of Wollongong, Australia3
Electrical Engineering3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
School of Electrical and Electronic Engineering, Singapore3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands3
San Diego Supercomputer Center, 9500 Gilman Drive La Jolla CA, 92093-0505, USA3
Institute of Power and Applied Electrical Engineering, FEI STU in Bratislava, Slovak republic3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Toronto Rehabilitation Institute, Toronto, Ontario, Canada and University of Toronto, Toronto, Ontario, Canada3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Graduate School of Information Science and Technology, Hokkaido University N-14, W-9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan3
Department of CSE, RMK Engineering College, Chennai3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
Department of Electrical Engineering, University of California, Riverside, 925213
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
SMILES Laboratory, Xi’an Jiaotong Univeristy, Xi’an, China3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
Information Technologies Institute / CERTH, Thessaloniki, Greece3
Dublin Institute of Technology, Dublin, Ireland3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Data Science Department EURECOM, Biot, France3
Department of Information Engineering at the University of Padua, Italy3
University of California, Riverside, Riverside, CA, USA3
Dept. of Comput. Sci., London Univ., UK3
Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil3
Department of Electrical and Computer Engineering (ECE) Isfahan University of Technology (IUT), Isfahan, 84156-83111, Iran3
Department of Computer Science, Stanford, CA 94305, U.S.A.3
Department of computer science, Beijing Institute of Graphic Communication, China3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
School of Communication and Information Engineering3
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
Department of Computer Science, School of Computing, National University of Singapore Computing 1, 13 Computing Drive, Singapore 1174173
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Dept of CSE, IIT, Guwathi, India3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
One Microsoft Way, Redmond, WA, USA3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Universidad de Las Palmas de Gran Canaria (ULPGC), Spain2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Scientific Association of Electrical and Electronic Engineering, Islamic Azad University Central Tehran Branch, Iran2
Department of Artificial Intelligence University of Groningen, Bernoulli Institute, Groningen, The Netherlands2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Computer Science Department Technical University of Cluj-Napoca, Romania2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Department of Statistics and the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA2
Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu2
School of Information Science, Computer and Electrical Engineering, Sweden2
Active Safety CAE, Volvo Cars Corporation Department, Volvo Cars AB, Sweden2
Dept. of Signals and Systems, Chalmers Univ. of Technology, Gothenburg, 41296, Sweden2
Electr. Eng. & Comput. Sci. Dept., Northwestern Univ., Evanston, IL, USA2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Department of ECE, UCEK, JNTUK, Kakinada2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Department of Computer Science and Engineering, University of Califonia, San Diego2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Kampus Jasin, 77300 Merlimau, Melaka, Malaysia2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Dept. of Computer Science and Applications, Gandhigram Rural Institute - DU, Dindigul, India2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
Laboratoire LITIS EA 4108, Normandie Université, Université de Rouen, France2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
DFKI GmbH, Germany2
Tencent Inc2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
University of Blida 1, Department of Computer Science, Algeria2
eBay Inc., San Francisco, CA, USA2
eBay Inc., San Jose, CA, USA2
CASIA, Research Center for Brain-inspired Intelligence2
First Department of Neurology, Masaryk University and St. Anne's University Hospital, Pekarska 53, Brno, 65691, Czech Republic2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
Department of Geography, The George Washington University, District of Columbia, United States of America2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
Department of electronics and communication, Visvesvaraya National Institute Of Technology, Nagpur, India2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Research department, Herta Security, Barcelona, Spain2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
Dept. of ECE and Digital Technology Center, Univ. of Minnesota, USA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Dept. of Computer Science and Technology, Tsinghua Univ., Beijing 100084, China2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
ENSTA ParisTech U2IS/Robotics & Vision, Université de Paris-Saclay2
Department of Computer Science TU Darmstadt, Germany2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
Dept. Electronics, Telecomm. and Inform. Technol., “Politehnica” University of Bucharest, Romania2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Computer Science and Communication Engineering Jiangsu University, Zhenjiang, 212013 China2
Dept. of Computer Science and Engineering, Kalpataru Institute of Technology, Tiptur, India2
Dept. of Computer Science and Engineering, Government Engineering College, Hassan, India2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
School of Computing, Mathematics and Digital Technology2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
Department of General Surgery, Carolinas Medical Center, United States of America2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Dept. for Video Exploitation Systems (VID), Fraunhoferstr. 1, 76131 Karlsruhe, Germany2
Center for Autonomous Systems , Royal Institute of Technology, Sweden2
University of British Columbia Department of Electrical and Computer Engineering2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
Department of Computer Science, College of Information Engineering, Northwest A&F University, Yangling, China2
Computer Science Department at Stanford University, CA, 94309 USA2
School of Engineering, University of California, Merced, CA2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
Dept. of Electronics & Communication, Siddaganga Institute of Technology, Tumkur, India2
CPGEI, Universidade Tecnologica Federal do Paraná2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Dept. of Electrical and Computer Engineering, University of California, Riverside, USA, 925212
Department of Electronics & Communication Engineering Mar Baselios College of Engineering & Technology Kerala, India2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of California, Riverside, 92521, United States of America2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Department of Computer and Information Science, Gannon University, Erie, PA 16541, USA2
FORTH, Greece, Heraklion, Greece2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Department of Electrical and Computer EngineeringNational University of Singapore2
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science and Information Engineering National Taiwan Normal University2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
University of California, Merced, CA, 5200, US2
Department of Intelligent Robot System Research Team, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea2
Computer Science Department Technical University of Cluj-Napoca2
HSA Systems, Aalborg Denmark2
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
Centre de Visió per Computador Universitat Autònoma de Barcelona Bellaterra, Barcelona 08193, Spain2
Shinshu Univ., Faculty of Eng.2
Univ. of Kitakyushu, Faculty of Environmental Eng.2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
University of Kentucky Department of ECE Lexington, Kentucky2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Department of Computer Engineering, Vishwakarma Institute of Information Technology, Kondhwa (Bk.), Pune 411048, India2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Computer Science dept. Technion, Haifa 32000, Israel2
Department of Electrical and Computer Engineering at the Stevens Institute of Technology, Hoboken, NJ, USA2
Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island, Kingston, USA2
Dept. of Electron. & Inf. Eng., Honu Kong Polytech. Univ., Hong Kong, China2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Department of Mechanics, Mathematics and Management, Politecnico di Bari, viale Japigia 182, Italy2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Department of Computer Science and Engineering2
Department of Computer Science at Rutgers University, NJ, USA2
Department of Computer Engineering, MIT Pune, India2
State Grid Zhejiang Ninghai county power supply company2
College of Control Science and Engineering, University of Zhejiang2
School of Information Science and Engineering Ningbo Institute of Technology, Zhejiang University Ningbo, Zhejiang Province, 315100, China2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
CS Dept., UFMG & Kunumi, Brazil2
University of California, Berkeley, EECS Department2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
Inf. Syst. Dept., Buckingham Univ., UK2
Elektrik ve Elektronik Mühendisliği Bölümü, ODTÜ, Ankara, Türkiye2
Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece2
Institute of Software Chinese Academy of Sciences (ISCAS)2
Department of Electrical Engineering, Federal University of Technology, Curitiba, Paraná, Brazil2
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
University of California, Berkeley, Berkeley2
Google Inc2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Chandigarh Engineering College, Landran, Mohali2
ECE, Chandigarh Engineering College, Landran, Mohali2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
Hankou College, Wuhan, China2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Fraunhofer IOSB, Karlsruhe, 76131, Germany2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
National Great Rivers Research and Education Center, Alton, IL, USA2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
RoboVision, Gent, Belgium2
Technology Campus De Nayer, EAVISE, KU Leuven, Belgium2
Department of Computer Science - University of Toronto, 10 King's College Road, Toronto, Canada2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
School of Engineering Newcastle University, ISC Research Group, UK2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
Department of Computer Science, National University of Emerging and Computer Science, Karachi, Pakistan2
Department of Computer Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
Biometric and Imaging Processing Laboratory (BIPLab)2
Research and Academic Computer Network (NASK)2
Carmine Senatore Exponent, Inc.2
Yahoo Labs, New York, NY, USA2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli - 620015, Tamil Nadu, India2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Department of CS&E, IIT Madras, India2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil2
IRIP, School of Computer Science and Engineering, Beihang Universtiy, Beijing 100191, China2
Department of Perception Engineering, University of Tuebingen, Germany2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
School of Electrical Sciences, IIT Bhubaneswar, Bhubaneswar, India2
JD Finance, Beijing, China2
Dept. of Comput. Sci. & Eng., Michigan State Univ., USA2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
Department of Instrumentation and Control, College of Engineering Pune, India2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Electrical Engineering Department Jadavpur University Kolkata, India2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
Department of Computer Applications, National Institute of Technology, Tiruchirapalli, Tamil Nadu, India2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
Institute for Infocomm Research at A*STAR, Singapore2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
Microsoft Research&University of Washington, Seattle, WA, USA2
German Institute for Artificial Intelligence & University of Kaiserslautern, Kaiserslautern, Germany2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
School of Engineering, Griffith Univeristy, Queensland, Australia2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
Department of Industrial Design, Eindhoven University of Technology Eindhoven, The Netherlands2
University of California, San Diego; ATR, Kyoto, Japan2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
142
Dept. of Electrical Engineering, LUMS, Pakistan2
Media Computing Group, St. Pölten University of Applied Sciences, Austria2
NRU Higher School of Economics, Moscow, Russia2
Department of Industrial Design., Eindhoven University of Technology. Eindhoven, Netherlands2
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa - Genoa, Italy2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
School of Business Northwest Normal University, Lanzhou, China2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
IT Department, SSN College of Engineering, Chennai, India2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Dept. of Computer Science and Electrical Engineering, GSST - Kumamoto University Kumamoto, Japan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. of IT CEC, Landran, Mohali, India2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Dept. of Electronics and Communication Engg., M S Ramaiah Inst. Of. Tech., Bangalore-560054, India2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China2
Université de Sherbrooke, MOIVRE, Sherbrooke, J1K 2R1, Canada2
Federal University of Technology-Paraná, Curitiba, Brazil2
National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Bilgisayar Mühendisliği Bölümü, Erzincan Üniversitesi, Türkiye2
University of Cambridge Computer Laboratory, 15 JJ Thomson Avenue2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of CSE, GGITS, Jabalpur2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
School of Computer Science and Technology2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
School of Electrical Engineering and Computer, Science National University of Sciences and Technology, Islamabad, Pakistan2
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
Department of Computer Science, CUNY Graduate Center, New York, NY2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
HAN University of Applied Sciences, Nijmegen, The Netherlands2
Universidade do Porto, Porto, Portugal2
Dept. of Electr. Eng., Fed. Univ. of Parana, Curitiba, Brazil2
IST/ISR, Lisboa, Portugal2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Department of Computer EngineeringKhalifa University, UAE2
Department of Simulation and Graphics, University of Magdeburg Universitätsplatz 2, 39106 Magdeburg, Germany2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Knowledge e-Learning Research Group2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Cornell Lab of Ornithology, USA2
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Bilgisayar Mühendisliği, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye 068002
Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India2
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Dept. of Comput. Sci. & Eng., Univ. of California, Riverside, CA, USA2
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
TCL Research America, San Jose, CA 951342
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea2
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
Dept. of Computer Science & Engg. IIT Bombay2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
School of Electronic Engineering and Computer Science Queen Mary University of London2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Taiger, Spain2
Department of Information and Communication Engineering, Arulmigu Meenakshi Amman College of Engineering, Vadamavanthal, Thiruvannamalai, Tamilnadu2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
Software Engineering Institute, Pittsburgh, PA2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
Department of ICT, FM University, Balasore, Odisha, India2
Department of CSE, Tezpur University, Napaam, Assam2
NASA's Goddard Space Flight Center2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
Laboratory of Inverses Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications University of 08 Mai 1945 - Guelma -, Algeria2
Center for Research in Intelligent Systems, University of California, Riverside, CA, 925212
Department of Mathematics, Universitas Inonesia, Depok, Indonesia2
Department of Physiology & Pharmacology, School of Medicine, Wake Forest University, Winston-Salem, NC, USA2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Dept. of Newmedia, KGIT, Seoul, Republic of Korea1
Bilgisayar Mühendisliği Bölümü, ITÜ1
School of Comp. Eng., NTU, Singapore1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Mühendislik ve Doğa Bilimleri Fakültesi, Sabancı Üniversitesi, İstanbul, Türkiye1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Department of Electronic Engineering Shanghai Jiao Tong University1
Department of Electronics and Telecommunication, College of Engineering Roorkee, India1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
KU Leuven, Leuven, Belgium. kurt.cornelis@esat.kuleuven.be1
KU Leuven, Leuven, Belgium. nico.cornelis@esat.kuleuven.be1
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Thoraxklinik-Heidelberg GmbH, Germany1
Inst. for Infocomm Res., Singapore1
Bilgisayar Mühendisliği Bölümü, Iğdır Üniversitesi, Türkiye1
Institute for Infocomm Research, Connexis South, Singapore1
National Chung-Shan Institute Science and Technology1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN, USA1
Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India1
CWI, Amsterdam, Netherlands1
VU University Amsterdam, Amsterdam, Netherlands1
Dept. Electronics & Communication Engineering Karunya University, India1
Department of Emergency Medicine, Singapore General Hospital, Singapore1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Translational Research Department, Residual Tumor and Response to Treatment Laboratory, RT2Lab, Institut Curie, Paris, France1
Pathology Department, Institut Curie, Paris, France1
University of Edinbrugh, Edinburgh, UK1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electrical Engineering Department, University of California, Los Angeles1
Université Clermont-Auvergne1
Wisimage1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China and Anhui Institute ...1
Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China1
Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
Quantitative Imaging, CSIRO Data61, Australia1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Dept. Clinical Psychology University, College London London, United Kingdom1
The University of Michigan, Ann Arbor, MI, USA1
Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, India1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia1
Department of Control and Information Systems Engineering, National Institute of Technology, Kurume Collage, Fukuoka, Japan1
Control Eng. & the Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Taipei, Taiwan1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Korea1
Department of Electronics and Communication Engineering, Indraprastha Institute of Information Technology, Delhi, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Tractebel Energia, Saudades do Iguaçu, PR, Brazil, 85568-0001
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
Tractebel Energia S. A., Saudade do Iguaçu, PR, Brazil1
Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
University of Nebraska State Museum, Lincoln, NE, USA1
TERC, Cambridge, MA, USA1
University of Nebraska, Lincoln, Lincoln, NE, USA1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India1
School of Software, Xi’an Jiaotong University, Xi’an, China1
Department of Computer Science and Information Systems, London, U.K.1
Department of Automation, Beijing, China1
Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India1
Senior Member, IEEE1
Universidade de Vigo, Spain1
JD AI Research, Beijing, China1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
Department of CSE, PSIT COE, Kanpur (India)1
Department of Computer Science, Madrid Open University, Madrid, Spain1
School of Software Engineering, Jinling Institute of Technology, Nanjing, China1
Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA1
Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA1
Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China1
KK Women’s and Children’s Hospital, Singapore1
IRSEEM1
Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
University of Nottingham Ningbo China, Ningbo, China1
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
Laboratoire LITIS EA 4108, Normandie Université, INSA de Rouen, France1
Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia1
School of Computer Science and Techonolgy, Beiing Institute of Technology Beijing, China1
ECE, National University, of Singapore, Singapore1
Dept. for Sensor Data and Information Fusion, Fraunhofer FKIE, Germany1
University, Kowloon, Hong Kong1
+ R-D Department, CRIM, 550 Sherbrooke West, Suite 100, Montréal, Canada1
Statistics Department, Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu1
CEFRIEL, Milan, Italy1
Department of Electronics and Communication Engineering, Project Associate-TEQIP, Directorate of Technical Education, Chennai, India1
School of Computer and Communication Engineering, Light Engineering Institutes of Zhengzhou, Zhengzhou, China1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA1
Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA1
Dept. of Information Tech., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Dept. of Electronics & Commu. Engg., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Dept. of Computer Engineering, A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India1
Department of Computer Science and Engineering, National Institute of Technology, Uttarakhand, India1
Electric-Electronics Eng. Dpt., Halic University, Istanbul, Turkey1
Electrical and Electronics Department, Politecnico of Bari, Bari, Italy1
Dept. of Computer, Shaanxi Electric Power' staff Training Center, Xi'an, China1
University of Quebec in Outaouais, Department of Computer Science, Gatineau, Canada1
NICTA Canberra Research Laboratory, Australia1
Electrical Engineering Department Semnan University Semnan, Iran1
Department of Telecommunication, B.M.S College of Engineering, Bangalore, India1
School of Automation Guangdong University of Technology, Higher Education Mega Center, Guangzhou, China1
Nvidia Research1
Department of Rail Transit Engineering, Chongqing Vocational College of Transportation, Chongqing, 402247, China1
Graduate School of Informatics and Engineering, University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Quang Binh University, Dong Hoi City, Vietnam1
St. Petersburg Department, Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics1
Department of Computer Science, Banasthali Vidyapith, Banasthali, India1
Computer Science and Engineering Department, SP Memorial Institute of Technology, Kaushambi, India1
Department of Electronics and Communication Engineering, P.P.G. Institute of Technology, Coimbatore, India1
Department of Electronics and Communication Engineering, Institute of Road and Transport Technology, Erode, India1
Department of Neurology, Faculty Hospital and Masaryk University, Jihlavska 20, Brno, 63900, Czech Republic1
Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA1
Satellite Department, Agency for Science, Technology and Research, Singapore1
Visual Computing Department, Agency for Science Technology and Research, Singapore1
Department of Electrical Engineering, India1
Department of Psychology at the University of Northern British Columbia1
Department of Electronics and Communication Engineering, JNTU College of Engineering, Hyderabad, India1
Department of Physics, JNTU College of Engineering, Kakinada, India1
Department of Computer Science and Engineering, JNTU College of Engineering, Kakinada, India1
Department of Telecommunications and Information Processing, Image Processing and Interpretation, UGent/iMinds, Ghent, Belgium1
School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia1
Department of Computer Science, UNC-Charlotte, Charlotte, USA1
Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain1
Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China1
Data Science Program, The George Washington University, District of Columbia, United States of America1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
Singapore University of Technology and Design & Massachusetts Institute of Technology, Singapore, Singapore1
School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
Special machinery research institute, Beijing, China1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
191
181
171
161
151
Guilin University of Technology, Guilin, Guangxi1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Lecturer of Computer Science at Higher Education Department, Khyber Pakhtunkhwa, Pakistan1
Department of Electrical and Computer EngineeringJohns Hopkins University1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
ICTEAM Institute, Université Catholique de Louvain, Belgium1
ICTEAM Institute, Université Catholique de Louvain, Belgium and Department of Information and Communication Engineering, Institute of Technology of Cambodia, Cambodia1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland1
Facebook Research, New York, New York United States1
Institute of Computational Science, Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
Department of Education and Information, Guizhou Finance school, Guiyang, China1
Graduate School of the Chinese Academy of Sciences, Beijing, China1
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
NEC Laboratories1
Department of Mechanical Engineering, Madurai, Tamilnadu, India1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
School of Computer Science and Technologym Huazhong University of Science and Technology, China1
Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia1
Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland1
Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China1
Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China1
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
Department of Informatics and Telecommunications, National and Kapodestrian University of Athens, Athens, Greece1
Department of Information Technology, Devi AhilyaVishwavidyalaya, Indore(M.P.)1
Aalto University School of Science1
Aalto University School of Science and Tampere University of Technology1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Univ. of Sydney, NSW, Australia1
Department of Computer Science, UNC Charlotte, United States of America1
Department of Information Technology, SSN College of Engineering Chennai, India1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
Department of Computer Science and Engineering, University of California, Riverside, USA1
Nanyang Technological University School of Computer Engineering1
Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Google DeepMind1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Center for Comparative Medicine, University of California, Davis, California, U.S.A.1
London School of Economics, London1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India1
Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea1
Department of Electrical Engineering, Imperial College, London, UK1
Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Department of Information Technology, YCCE, Nagpur, India1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India1
Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India1
Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy1
Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India1
Agora University of Oradea, Oradea, Romania1
Faculty of Electronics, Telecommunications and Information University Politehnica of Bucharest, Bucharest, Romania1
Computer Science Department, University Politehnica of Bucharest & IT Center for Science and Technology, Bucharest, Romania1
Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 283011
Computer Science Dept. University of Maryland College Park, MD 207421
PSI-ESAT1
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China1
Fujitsu Laboratories Ltd., Kanagawa, Japan1
School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India1
Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Department of ECE Marian Engineering College Trivandrum, India1
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong1
Electrical Engineering Department, IIT Roorkee, India1
Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India1
Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India1
School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de1
Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel1
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States1
Project Lead Persistent Systems Ltd1
Center for Neuropsych Research of Traumatic Stress, Charles University Department of Psychiatry, Prague, Czech Republic1
INRIA Bordeaux Sud Ouest, France1
Moscow State University Department of Computational Mathematics and Cybernetics, Moscow, Russia1
Administrative Office of Computer School of Pingdingshan University, Pingdingshan, China1
Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala1
Dept. of EC Engineering, LBS Institute of technology for Women, Poojapura, Trivandrum, Kerala1
Microsoft Live Labs Research, ganghua@microsoft.com1
Beihang Univ, Dept Measurement Control & Informat Technol, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, and the Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA1
Departments of Computer Science and Applied Mathematics, Stony Brook, NY 11794, USA1
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India1
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Tennessee Technological University, Box 5101, Cookeville, 38505, United States1
Emory University School of Medicine, Atlanta, USA1
Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 100291
I-Fusion Technologies, Inc, Germantown, MD, USA1
SMME, National University of Sciences & Technology, Islamabad, Pakistan1
Drake University, Des Moines, IA, USA1
Computer Engineering Department PCCOE, Pune, India1
PCCOE Information Technology Department PCCOE, Pune, India1
Key Laboratory of Child Development and Learning Science, Ministry of Education, School of Biological Sciences and Medical Engineering, Southeast Universit, Nanjing, China1
Psychology Department at California State University, Fullerton, California, US1
Information Systems and Decision Sciences Department at California State University, Fullerton, California, US1
School of Control Science and Engineering DUT, Dalian, China1
Department of Computer Science, Fuzhou Polytechnic, Fuzhou, China1
Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA1
Psychology Department, University of California, Santa Barbara, CA 93106 USA1
Dept. of computers and communications, Faculty Of Eng., Delta Univ. for Science and Technology, Gamasa City, Egypt1
Department of Electronics Engineering Pusan National University, Busan, Korea1
Department of Electronics and Communication, NIT Calicut, Kerala, India1
Department of Applied Sciences, Ecole Normale Supérieure de Bujumbura, Bujumbura, Burundi1
National University of Singapore & National University of Defense Technology, Singapore, Singapore1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Department of Human Robot interaction Research Section, Electronics and Telecommunications Research Institute, Daejeon, Rep. of Korea1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Department of Ankara Digital Forensic Ankara, Forensic Medicine Institution, Ankara, Turkey1
Department of Computer Engineering, Faculty of Engineering, Kocaeli University1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
Vision Semantics Ltd1
State Grid Zhangjiakou, Power Supply Company, Zhang Jiakou, China 0750001
State Grid Shanxi Electric Power Company, Taiyuan, China 0300011
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Federal Police - Brasilia - Brazil1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Guizhou Radio Film and Television School, Guizhou, P. R. China1
Department of Electrical Engineering, IIT, Roorkee, India1
Univ. of La Rochelle, Faculty of Eng.1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Computer Science Department, University of California, Los Angeles, CA, USA1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
Kyoto University of Foreign Studies, Japan1
Statistics, University of California, Los Angeles, USA1
USC School of Cinematic Arts1
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Makkah Technology Valley, Saudi Arabia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
DeePhi1
Department of CSE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Department of ECE, Sri Siddhartha Institute of Technology, Tumakuru, India1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Dept. of E.C.E, CE, JNTUH, INDIA1
Dept. of E.C.E, UCE, KU, INDIA1
CS Dept., UFMG, Brazil1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Pasadena, USA1
Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea1
University of California, Santa Barbara, GOLETA, CA, USA1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
School of Information Science Meisei University, Tokyo, Japan1
University of California, Santa Barbara, CA1
Department of IT, UIT RGPV, BHOPAL, India1
University of Oulu & Southeast University, Oulu, Finland1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Department of Electrical Engineering, Federal University of Technology, Pato Branco, Paraná, Brazil1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China1
Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
Department of Physiology, University of California, San Francisco, San Francisco, USA1
Department of Neurology, University of California, San Francisco, San Francisco, USA1
Department of Experimental Psychology, Oxford, UK1
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA1
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran1
Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil1
Dept. of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Co, Louth Ireland1
Department of Computer Science & Engineering, SNS College of Technology, Coimbatore, India1
Computer Science Department, Indian School of Mines, Dhanbad, India1
Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China1
The military service of Taiwan1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA1
Arcelor Mittal Maizières Research SA, France1
Curtin University Department of Mechanical Engineering, Perth, Western Australia 60121
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania1
Department of Computer Science, University of California, Irvine, USA1
Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Karlsruhe, 76131, Germany1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
School of Electrical and Computer Engineering, Oklahoma State University (OSU), USA1
Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia1
Universidad de Concepción, Department of Electrical Engineering, Concepción, Chile. Email: mfigueroa@die.udec.cl1
School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China1
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada1
University of California, Los Angeles, USA1
University of California, San Diego, San Diego, CA, USA1
Department of Human-Machine Communication at the Faculty for Electrical-and Information Engineering, Technische Universität München (TUM), Germany phone: +491
Department of Computer Science and Technology, NUDT, Changsha, 410073, China1
Department of Electronics, BVM Engineering College, Vallabh Vidhyanagr, Anand, Gujarat, India1
Hanoi University of Agriculture, Vietnam1
CCIA Department, UPV EHU, Computational Intelligence Group, San Sebastian, Spain1
Department of Orthopedic Surgery, British Columbia Children’s Hospital, Vancouver, Canada1
Department of E.C.E, JNTUACE, Ananthapuramu, India1
Department of E.C.E, MITS, Madanapalle, India1
Department OF E.C.E, JNTUA, Ananthapuramu, India1
Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt1
Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya1
College of Computer and Information Sciences, Karachi Institute of Economics and Technology, Karachi, Pakistan1
Dept. of Information Engineering, Xiangtan Vocational Technical College, 411102, China1
Dept. of Computer Engineering Kuwait University1
UT Austin Computer Science Dept., TX 78712, USA1
Jiangsu Department of Water Resources, Nanjing, China1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
School of Computer ScienceThe University of Adelaide1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Biomedical Engineering Department of the School of Electrical and Computing Engineering, and the Biomedical Engineering Centre, State University of Campinas (UNICAMP), Campinas, Brazil1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
RF Exploitation Branch, U.S. Air Force Research Laboratory, Dayton, OH, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
UC Berkeley EECS and ICSI, CA, United States1
Dept. Mathematics and Computer Science, UB, Spain1
Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India1
Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology - Paraná (UTFPR), Pato Branco, Paraná, Brazil1
Institute for the Management of Information Systems, R.C. Athena1
Department of Gastroenterology, Beijing Chao-Yang Hospital, Beijing, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
Department of mechatronic technology of National Taiwan Normal University1
Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India1
Dept. of Math., Shenzhen Univ., China1
Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Electrical Engineering, The City College of New York, New York, USA1
Universität Politecnica de Valencia, Valencia, Spain1
King's College, London, UK1
Universidad de los Andes, Colombia1
Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China1
Department of Computer and Information Science, University of Mississippi, University, MS1
SMU, Singapore1
Department of Electronics, Vishwakarma Institute of Technology Pune, India1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
Department of CSE, National Institute of Technology, Puducherry, Puducherry, India1
Facebook AI Research, Seattle, WA 981091
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn1
Department of Computer Engineering and Communications, Faculty of Technical Sciences, 21000 Novi Sad, Serbia1
Yahoo! hex@yahoo-inc.com1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
Lunit Incorporation, Seoul, Korea1
Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India1
Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India1
University of Central Arkansas, Conway, AR, USA1
Dept. of Telecommunications, HCM City Uni. of Technology, Vietnam1
Dept. of Mathematics and Computer Science, Texas A&M Uni.-Commerce, USA1
Microsoft Research&Stanford University, Stanford, CA, USA1
Department of Electrical Engineering, Université de Biskra, Biskra, Algeria1
University of Sao Paulo and Ribeir˜a Preto Medical School Ribeira Preto, Sao Paulo, Brazil1
Department of Informatics, Federal Institute Goiano - IF Goiano Ceres, Goias, Brazil1
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil1
Department of Geography Minjiang University, China1
Dept. of Computing University of Leeds Leeds, UK, LS2 9JT1
Universidad de los Andes, Colombia, USA1
School of Information Systems Singapore Management University, Singapore1
School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China1
School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik1
ITI Department Telecom Bretagne, Brest, France1
Dept. of Electronics and Telecommunication Engineering, Assam Engineering College, Guwahati, Assam, India1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
Technicolor1
INRIA Rennes1
Dept. of Comput. Inf. & Sci., Delaware Univ., Newark, DE, USA1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
EECS Department at UC Berkeley, Berkeley, USA1
Department of Digit Technology, No.38 Research Institute of CETC, hefei, China1
Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
Department of Telecomm. Engineering, National, University of Computer &Emerging Sciences (NU-FAST), Peshawar, Pakistan1
Department of Neurology, University of Munich at Marchioninistrasse 15, 81377, Germany1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Boston, USA1
Boston, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat (India)1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
School of Mechatronic Engineering and Automation, Robotics, Shanghai, China1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Institute of Computer Science, FORTH1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Computer Science Department, University of California, Los Angeles, USA1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
Intel Labs Seattle, Seattle, WA 98105, USA1
Visual Computing Group, Microsoft Research Aisa1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Department of Pathology, University of California, San Francisco, 94143, USA1
Department of Radiology & Biomedical Imaging, University of California, San Francisco, 94143, USA1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Noah's Ark Lab, Huawei, Shenzhen, China1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
Department of Computer Engineering Faculty of Engineering, MUT1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
School of Engineering, Qufu Normal University, Rizhao, China1
College of Science, Liaoning University of Technology, Jinzhou, China1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
Dept. of CSE CEC, Landran, Mohali, India1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Aalborg, University, Denmark1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA1
Department of New Media, Korean German Institute of Technology, Korea1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
Salem State University, Salem, MA, USA1
School of Communication and Information Engineering Shanghai University Shanghai, China1
CS dept., National Institute of Development, Administration, Thailand1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
Computer Science and Engineering; University of California, San Diego, La Jolla, CA, USA1
Cognitive Science, Hampshire College1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Tractebel Energia, São Jorge do Oeste, Brazil1
Faculty of Sciences and IT, Zarqa University, P. O. Box 2000, 13110 Jordan1
Computer Science Department, Boise State University, ID 83725, USA1
Computer Science Department, College of Computer Science, King Khaled University, Abha, Saudi Arabia1
CIS Department, Faculty of Computer and Information Technology, Jordan University of Science & Technology, Jordan1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
VRVis Research Center for Virtual Reality and Visualization,n Graz, Austria, Email: gruber@vrvis.at1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
Film Department ELTE University, Budapest, Hungary1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
State University of Sao Paulo in São Carlos, São Carlos, Brazil1
Department of Computer Science, Faculty of Automatics and Computer Science, “Politehnica” University of Bucharest, Romania1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And Technology for, Women, Nagpur, Maharashtra, India1
Department of Computer Science and, Engineering, G. H. Raisoni Institute of Engineering And, echnology for Women, Nagpur, Maharashtra, India1
University of Southern California University of Southern California, Los Angeles1
Codespring LLC, Cluj-Napoca, Romania1
Electrical Engineering Department, University of California, Santa Cruz, USA1
DAQRI Inc., Los Angeles, California, USA1
Minneapolis, USA1
Bilgisayar Mühendisliği Bölümü, Atatürk Üniversitesi, Erzurum, Türkiye1
UMass Lowell, USA1
New Delhi, India1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
Department of CSE, PDPM-IIITDM, Jabalpur1
Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore 3084331
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
National Cheng-Kung University, Tainan, Taiwan Roc1
VCC SIAT Shenzhen & University of Konstanz, Konstanz, Germany1
Department of Pediatrics, Maxima Medical Center Veldhoven, The Netherlands1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
Intel Science and Technology Center on Pervasive Computing, Seattle, WA 98195, USA1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Corporate Innovation OSRAM GmbH1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Friedrich-Schiller-Universität Jena, Germany1
Robert Bosch Car Multimedia GmbH, Hildesheim, Germany1
Informatics and Computer Departments, Electronic Engineering Polytechnic, Institute of Surabaya, Surabaya, Indonesia1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Vietnam National University of Agriculture1
OR1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
Department of Computer Science & Engineering, P.A. College of Engineering, Mangalore, Karnataka, India1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong1
Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Electrical and Computer Engineering,. North South University, Bashundhara, Dhaka, Bangladesh1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
INESC-ID and IST/UTL, Lisboa, Portugal1
IT and IST/UTL, Lisboa, Portugal1
INESC-ID, Lisboa, Portugal1
Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India1
Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India1
Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran1
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China1
Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
Communication System Engineering, Electronics & Communication Engineering, Shantilal Shah Engineering College, Bhavnagar, India Gujarat Technological University, Ahmedabad, India1
Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India1
Department of Medicine, University of British, Columbia, Canada1
School of Engineering of São Carlos, USP, São Carlos, Brazil1
Department of IT Sree Vidyanikethan Engineering College Tirupati, India1
Department of ECE Anurag Group of Institutions, Hyderabad, India1
Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India1
ACM Professional Specialist in Artificial Intelligence1
Department of Statistics and Computer Science, Los Angeles, CA1
Cornell Tech1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
School of EEE, NTU, Singapore1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
NYU, USA1
BYU, USA1
Business School of Sichuan University, Chengdu, China1
Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India1
University of Oxford and Nankai University, Nankai, Tianjin, China1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
UC Berkeley/ICSI, California, United States1
UC Davis, 1 Shields Ave, Davis, CA 95616, United States1
An Independent Researcher1
Computer Science &Engg., School of Computer Science & IT DAVV, Indore, India1
Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA1
Department of EECS, University of California, Berkeley, USA1
Department of Information Network Technology, Hsiuping Institute of Technology, No. 11, Gongye Rd., Taichung, 412, Taiwan1
Department of Engineering Technology; University of North Texas1
Department of Computer Science and Engineering; University of North Texas1
Research Center for Information Technology Innovation (CITI) and Institute of Information Science (IIS), Academia Sinica, Taipei, Taiwan1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
Reallusion Corporation1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
National Sun Yat-sen Unisersity, Taiwan1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of ECE, CVR College of Engineering, Hyderabad1
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China1
College of William and Mary1
LIP6, UPMC Université Paris 06, Paris1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Department of Automation, USTC, China1
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel1
UCLA Center for Vision, Cognition, Learning and Autonomy and University of Hong Kong1
Faculty of Data Science, Shiga University, Hikone, Shiga, 5228522, Japan1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Department of Radiology, Chinese PLA General Hospital, Shenyang, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
MSR, New York, USA1
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. kriegman@cs.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. spmallick@vision.ucsd.edu1
University of California, San Diego, 9500 Gilman Dr. Dept. #0404, La Jolla, CA 92093. nalldrin@cs.ucsd.edu1
Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Department of Information, Compiègne University of Technology, 60200, France1
Magic Leap Inc., USA1
360 AI Institute and National University of Singapore, Singapore1
University of Bergen1
Exploratorium1
Koolsee MideaNet Company Limited, Hong Kong, China1
Paypal Innovation Team, Singapore1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
School of Information Science and TechnologyBeijing Forestry University1
Computer Vision and Robotics Research Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, USA1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
South Africa1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
\ No newline at end of file diff --git a/scraper/reports/paper_title_report.html b/scraper/reports/paper_title_report.html index c9f728d2..1c979bc1 100644 --- a/scraper/reports/paper_title_report.html +++ b/scraper/reports/paper_title_report.html @@ -1 +1 @@ -Paper Title Sanity Check

Paper Title Sanity Check

keynameour titlefound titleaddresss2 id
10k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face imagesThe intrinsic memorability of face photographs.[pdf][s2]8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
3d_rma3D-RMAAutomatic 3D Face AuthenticationAutomatic 3D face authentication[pdf][s2]2160788824c4c29ffe213b2cbeb3f52972d73f37
3dddb_unconstrained3D DynamicA 3D Dynamic Database for Unconstrained Face RecognitionA 3D Dynamic Database for Unconstrained Face Recognition[pdf][s2]4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461
3dpes3DPeS3DPes: 3D People Dataset for Surveillance and Forensics3DPeS: 3D people dataset for surveillance and forensics[pdf][s2]2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e
4dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf][s2]a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43
fpoq50 People One QuestionMerging Pose Estimates Across Space and TimeMerging Pose Estimates Across Space and Time[pdf][s2]5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725
adienceAdienceAge and Gender Estimation of Unfiltered FacesAge and Gender Estimation of Unfiltered Faces[pdf][s2]1be498d4bbc30c3bfd0029114c784bc2114d67c0
afadAFADOrdinal Regression with a Multiple Output CNN for Age EstimationOrdinal Regression with Multiple Output CNN for Age Estimation[pdf][s2]6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wildAFEW-VA database for valence and arousal estimation in-the-wild[pdf][s2]2624d84503bc2f8e190e061c5480b6aa4d89277a
afew_vaAFEW-VACollecting Large, Richly Annotated Facial-Expression Databases from MoviesCollecting Large, Richly Annotated Facial-Expression Databases from Movies[pdf][s2]Australian National Universityb1f4423c227fa37b9680787be38857069247a307
affectnetAffectNetAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild[pdf][s2]758d7e1be64cc668c59ef33ba8882c8597406e53
aflwAFLWAnnotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark LocalizationAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf][s2]a74251efa970b92925b89eeef50a5e37d9281ad0
afwAFWFace detection, pose estimation and landmark localization in the wildFace detection, pose estimation, and landmark localization in the wild[pdf][s2]0e986f51fe45b00633de9fd0c94d082d2be51406
agedbAgeDBAgeDB: the first manually collected, in-the-wild age databaseAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf][s2]d818568838433a6d6831adde49a58cef05e0c89f
alert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and DatasetsA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets[pdf][s2]6403117f9c005ae81f1e8e6d1302f4a045e3d99d
am_fedAM-FEDAffectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf][s2]47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
apisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and EvaluationPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf][s2]488e475eeb3bb39a145f23ede197cd3620f1d98a
appa_realAPPA-REALApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real DatabaseApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database[pdf][s2]633c851ebf625ad7abdda2324e9de093cf623141
appa_realAPPA-REALFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age EstimationFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation[pdf][s2]7b92d1e53cc87f7a4256695de590098a2f30261e
ar_facedbAR FaceThe AR Face DatabaseThe AR face database[pdf][s2]6d96f946aaabc734af7fe3fc4454cf8547fcd5ed
awe_earsAWE EarsEar Recognition: More Than a SurveyEar Recognition: More Than a Survey[pdf][s2]84fe5b4ac805af63206012d29523a1e033bc827e
b3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective CommunicationA 3-D Audio-Visual Corpus of Affective Communication[pdf][s2]d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae
bbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language VideosAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf][s2]213a579af9e4f57f071b884aa872651372b661fd
bfmBFMA 3D Face Model for Pose and Illumination Invariant Face RecognitionA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf][s2]639937b3a1b8bded3f7e9a40e85bd3770016cf3c
bio_idBioID FaceRobust Face Detection Using the Hausdorff DistanceRobust Face Detection Using the Hausdorff Distance[pdf][s2]4053e3423fb70ad9140ca89351df49675197196a
bosphorusThe BosphorusBosphorus Database for 3D Face AnalysisBosphorus Database for 3D Face Analysis[pdf][s2]2acf7e58f0a526b957be2099c10aab693f795973
bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior AnalysisMultimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf][s2]53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4
bp4d_spontanousBP4D-SpontanousA high resolution spontaneous 3D dynamic facial expression databaseA high-resolution spontaneous 3D dynamic facial expression database[pdf][s2]SUNY Binghamtonb91f54e1581fbbf60392364323d00a0cd43e493c
bpadBPADDescribing People: A Poselet-Based Approach to Attribute ClassificationDescribing people: A poselet-based approach to attribute classification[pdf][s2]7808937b46acad36e43c30ae4e9f3fd57462853d
brainwashBrainwashEnd-to-End People Detection in Crowded ScenesEnd-to-End People Detection in Crowded Scenes[pdf][s2]1bd1645a629f1b612960ab9bba276afd4cf7c666
bu_3dfeBU-3DFEA 3D Facial Expression Database For Facial Behavior ResearchA 3D facial expression database for facial behavior research[pdf][s2]cc589c499dcf323fe4a143bbef0074c3e31f9b60
cacdCross-Age Reference Coding for Age-Invariant Face Recognition and RetrievalCross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval[pdf][s2]c44c84540db1c38ace232ef34b03bda1c81ba039
cafe#N/AThe Child Affective Facial Expression (CAFE) Set: Validity and reliability from untrained adultsThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf][s2]20388099cc415c772926e47bcbbe554e133343d1
caltech_10k_web_facesCaltech 10K Web FacesPruning Training Sets for Learning of Object CategoriesPruning training sets for learning of object categories[pdf][s2]636b8ffc09b1b23ff714ac8350bb35635e49fa3c
caltech_crpCaltech CRPFine-grained classification of pedestrians in video: Benchmark and state of the artFine-grained classification of pedestrians in video: Benchmark and state of the art[pdf][s2]060820f110a72cbf02c14a6d1085bd6e1d994f6a
caltech_pedestriansCaltech PedestriansPedestrian Detection: A BenchmarkPedestrian detection: A benchmark[pdf][s2]1dc35905a1deff8bc74688f2d7e2f48fd2273275
caltech_pedestriansCaltech PedestriansPedestrian Detection: An Evaluation of the State of the ArtPedestrian Detection: An Evaluation of the State of the Art[pdf][s2]California Institute of Technologyf72f6a45ee240cc99296a287ff725aaa7e7ebb35
cas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline EvaluationsThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf][s2]2485c98aa44131d1a2f7d1355b1e372f2bb148ad
casablancaCasablancaContext-aware {CNNs} for person head detectionContext-Aware CNNs for Person Head Detection[pdf][s2]0ceda9dae8b9f322df65ca2ef02caca9758aec6f
casia_webfaceCASIA WebfaceLearning Face Representation from ScratchLearning Face Representation from Scratch[pdf][s2]853bd61bc48a431b9b1c7cab10c603830c488e39
celebaCelebADeep Learning Face Attributes in the WildDeep Learning Face Attributes in the Wild[pdf][s2]6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4
cfdCFDThe Chicago face database: A free stimulus set of faces and norming dataThe Chicago face database: A free stimulus set of faces and norming data.[pdf][s2]4df3143922bcdf7db78eb91e6b5359d6ada004d2
chalearnChaLearnChaLearn Looking at People: A Review of Events and ResourcesChaLearn looking at people: A review of events and resources[pdf][s2]8d5998cd984e7cce307da7d46f155f9db99c6590
chokepointChokePointPatch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face RecognitionPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf][s2]0486214fb58ee9a04edfe7d6a74c6d0f661a7668
clothing_co_parsingCCPClothing Co-Parsing by Joint Image Segmentation and LabelingClothing Co-parsing by Joint Image Segmentation and Labeling[pdf][s2]2bf8541199728262f78d4dced6fb91479b39b738
cmdpCMDPDistance Estimation of an Unknown Person from a PortraitDistance Estimation of an Unknown Person from a Portrait[pdf][s2]56ae6d94fc6097ec4ca861f0daa87941d1c10b70
cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression DatabaseThe CMU Pose, Illumination, and Expression (PIE) Database[pdf][s2]4d423acc78273b75134e2afd1777ba6d3a398973
cocoCOCOMicrosoft COCO: Common Objects in ContextMicrosoft COCO: Common Objects in Context[pdf][s2]5e0f8c355a37a5a89351c02f174e7a5ddcb98683
coco_actionCOCO-aDescribing Common Human Visual Actions in ImagesDescribing Common Human Visual Actions in Images[pdf][s2]4946ba10a4d5a7d0a38372f23e6622bd347ae273
coco_qaCOCO QAExploring Models and Data for Image Question AnsweringExploring Models and Data for Image Question Answering[pdf][s2]35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62
cofwCOFWRobust face landmark estimation under occlusionRobust Face Landmark Estimation under Occlusion[pdf][s2]2724ba85ec4a66de18da33925e537f3902f21249
cohn_kanadeCKComprehensive Database for Facial Expression AnalysisComprehensive Database for Facial Expression Analysis[pdf][s2]23fc83c8cfff14a16df7ca497661264fc54ed746
cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expressionThe Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf][s2]University of Pittsburgh4d9a02d080636e9666c4d1cc438b9893391ec6c7
columbia_gazeColumbia GazeGaze Locking: Passive Eye Contact Detection for Human–Object InteractionGaze locking: passive eye contact detection for human-object interaction[pdf][s2]Columbia University06f02199690961ba52997cde1527e714d2b3bf8f
complex_activitiesOngoing Complex ActivitiesRecognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label SpaceRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf][s2]65355cbb581a219bd7461d48b3afd115263ea760
cuhk_train_stationCUHK Train Station DatasetUnderstanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-AgentsUnderstanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents[pdf][s2]Chinese University of Hong Kong5a4df9bef1872865f0b619ac3aacc97f49e4a035
cuhk_campus_03CUHK03 CampusHuman Reidentification with Transferred Metric LearningHuman Reidentification with Transferred Metric Learning[pdf][s2]44484d2866f222bbb9b6b0870890f9eea1ffb2d0
cuhk_campus_03CUHK03 CampusLocally Aligned Feature Transforms across ViewsLocally Aligned Feature Transforms across Views[pdf][s2]38b55d95189c5e69cf4ab45098a48fba407609b4
cuhk_campus_03CUHK03 CampusDeepReID: Deep Filter Pairing Neural Network for Person Re-identificationDeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf][s2]6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3
cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On-board Pedestrian DetectionAdaptive Image Sampling and Windows Classification for On-board Pedestrian Detection[pdf][s2]57fe081950f21ca03b5b375ae3e84b399c015861
ufiUFIUnconstrained Facial Images: Database for Face Recognition under Real-world ConditionsUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf][s2]4b4106614c1d553365bad75d7866bff0de6056ed
d3dfacsD3DFACSA FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial ModellingA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf][s2]070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus setThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf][s2]4e6ee936eb50dd032f7138702fa39b7c18ee8907
data_61Data61 PedestrianA Multi-Modal Graphical Model for Scene AnalysisA Multi-modal Graphical Model for Scene Analysis[pdf][s2]563c940054e4b456661762c1ab858e6f730c3159
deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich AnnotationsDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf][s2]18010284894ed0edcca74e5bf768ee2e15ef7841
deep_fashionDeepFashionFashion Landmark Detection in the WildFashion Landmark Detection in the Wild[pdf][s2]4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7
disfaDISFA1DISFA: A Spontaneous Facial Action Intensity Database[pdf][s2]University of Denver5a5f0287484f0d480fed1ce585dbf729586f0edc
distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-distance and Cross-spectral MatchingNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf][s2]4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06
duke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-Target, Multi-Camera TrackingPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf][s2]27a2fad58dd8727e280f97036e0d2bc55ef5424c
duke_mtmcDuke MTMCImproving Person Re-identification by Attribute and Identity LearningImproving Person Re-identification by Attribute and Identity Learning[pdf][s2]7f23a4bb0c777dd72cca7665a5f370ac7980217e
duke_mtmcDuke MTMCUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in VitroUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[pdf][s2]15e1af79939dbf90790b03d8aa02477783fb1d0f
duke_mtmcDuke MTMCTracking Social Groups Within and Across CamerasTracking Social Groups Within and Across Cameras[pdf][s2]Duke University9e644b1e33dd9367be167eb9d832174004840400
duke_mtmcDuke MTMCTracking Multiple People Online and in Real TimeTracking Multiple People Online and in Real Time[pdf][s2]64e0690dd176a93de9d4328f6e31fc4afe1e7536
emotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the WildEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf][s2]c900e0ad4c95948baaf0acd8449fde26f9b4952a
erceERCeVideo Synopsis by Heterogeneous Multi-source CorrelationVideo Synopsis by Heterogeneous Multi-source Correlation[pdf][s2]b6c293f0420f7e945b5916ae44269fb53e139275
erceERCeLearning from Multiple Sources for Video SummarisationLearning from Multiple Sources for Video Summarisation[pdf][s2]287ddcb3db5562235d83aee318f318b8d5e43fb1
eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene AnalysisDepth and Appearance for Mobile Scene Analysis[pdf][s2]ETH Zurich13f06b08f371ba8b5d31c3e288b4deb61335b462
europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object DetectionThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf][s2]72a155c987816ae81c858fddbd6beab656d86220
expwExpWFrom Facial Expression Recognition to Interpersonal Relation PredictionFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf][s2]22f656d0f8426c84a33a267977f511f127bfd7f3
face_scrubFaceScrubA data-driven approach to cleaning large face datasetsA data-driven approach to cleaning large face datasets[pdf][s2]0d3bb75852098b25d90f31d2f48fd0cb4944702b
face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with FacesFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf][s2]4c170a0dcc8de75587dae21ca508dab2f9343974
face_tracerFaceTracerFace Swapping: Automatically Replacing Faces in PhotographsFace swapping: automatically replacing faces in photographs[pdf][s2]670637d0303a863c1548d5b19f705860a23e285c
facebook_100Facebook100Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on FacebookScaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf][s2]Harvard University9c23859ec7313f2e756a3e85575735e0c52249f4
faceplaceFace PlaceRecognizing disguised facesRecognizing disguised faces[pdf][s2]25474c21613607f6bb7687a281d5f9d4ffa1f9f3
families_in_the_wildFIWVisual Kinship Recognition of Families in the WildVisual Kinship Recognition of Families in the Wild[pdf][s2]University of Massachusetts Dartmouthdd65f71dac86e36eecbd3ed225d016c3336b4a13
fddbFDDBFDDB: A Benchmark for Face Detection in Unconstrained SettingsFDDB: A benchmark for face detection in unconstrained settings[pdf][s2]75da1df4ed319926c544eefe17ec8d720feef8c0
feiFEICaptura e Alinhamento de Imagens: Um Banco de Faces BrasileiroA new ranking method for principal components analysis and its application to face image analysis[pdf][s2]8b56e33f33e582f3e473dba573a16b598ed9bcdc
feretFERETThe FERET Verification Testing Protocol for Face Recognition AlgorithmsThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf][s2]0c4a139bb87c6743c7905b29a3cfec27a5130652
feretFERETThe FERET Evaluation Methodology for Face-Recognition AlgorithmsThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf][s2]0f0fcf041559703998abf310e56f8a2f90ee6f21
feretFERETFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test ResultsFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results[pdf][s2]31de9b3dd6106ce6eec9a35991b2b9083395fd0b
feretFERETThe FERET database and evaluation procedure for face-recognition algorithmsThe FERET database and evaluation procedure for face-recognition algorithms[pdf][s2]dc8b25e35a3acb812beb499844734081722319b4
ferplusFER+Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label DistributionTraining deep networks for facial expression recognition with crowd-sourced label distribution[pdf][s2]298cbc3dfbbb3a20af4eed97906650a4ea1c29e0
fiaCMU FiAThe CMU Face In Action (FIA) DatabaseThe CMU Face In Action (FIA) Database[pdf][s2]47662d1a368daf70ba70ef2d59eb6209f98b675d
fiw_300300-WA semi-automatic methodology for facial landmark annotationA Semi-automatic Methodology for Facial Landmark Annotation[pdf][s2]013909077ad843eb6df7a3e8e290cfd5575999d2
fiw_300300-W300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf][s2]044d9a8c61383312cdafbcc44b9d00d650b21c70
fiw_300300-W300 faces In-the-wild challenge: Database and results300 Faces In-The-Wild Challenge: database and results[pdf][s2]e4754afaa15b1b53e70743880484b8d0736990ff
frav3dFRAV3DMULTIMODAL 2D, 2.5D & 3D FACE VERIFICATIONMultimodal 2D, 2.5D & 3D Face Verification[pdf][s2]Universidad Rey Juan Carlos, Spain2b926b3586399d028b46315d7d9fb9d879e4f79c
frgcFRGCOverview of the Face Recognition Grand ChallengeOverview of the face recognition grand challenge[pdf][s2]NIST18ae7c9a4bbc832b8b14bc4122070d7939f5e00e
gallagherGallagherClothing Cosegmentation for Recognizing PeopleClothing cosegmentation for recognizing people[pdf][s2]Carnegie Mellon University22ad2c8c0f4d6aa4328b38d894b814ec22579761
geofacesGeoFacesFACE2GPS: Estimating geographic location from facial featuresExploring the geo-dependence of human face appearance[pdf][s2]2cd7821fcf5fae53a185624f7eeda007434ae037
geofacesGeoFacesLarge-scale geo-facial image analysisLarge-scale geo-facial image analysis[pdf][s2]4af89578ac237278be310f7660a408b03f12d603
geofacesGeoFacesExploring the Geo-Dependence of Human Face AppearanceExploring the geo-dependence of human face appearance[pdf][s2]2cd7821fcf5fae53a185624f7eeda007434ae037
geofacesGeoFacesGeoFaceExplorer: Exploring the Geo-Dependence of Facial AttributesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf][s2]17b46e2dad927836c689d6787ddb3387c6159ece
georgia_tech_face_databaseGeorgia Tech FaceMaximum likelihood training of the embedded HMM for face detection and recognitionMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf][s2]3dc3f0b64ef80f573e3a5f96e456e52ee980b877
gfwGrouping Face in the WildMerge or Not? Learning to Group Faces via Imitation LearningMerge or Not? Learning to Group Faces via Imitation Learning[pdf][s2]e58dd160a76349d46f881bd6ddbc2921f08d1050
grazGraz PedestrianWeak Hypotheses and Boosting for Generic Object Detection and RecognitionWeak Hypotheses and Boosting for Generic Object Detection and Recognition[pdf][s2]0c91808994a250d7be332400a534a9291ca3b60e
grazGraz PedestrianObject Recognition Using Segmentation for Feature DetectionObject recognition using segmentation for feature detection[pdf][s2]Inst. of Comput. Sci., Univ. of Leoben, Austria12ad3b5bbbf407f8e54ea692c07633d1a867c566
grazGraz PedestrianGeneric Object Recognition with BoostingGeneric object recognition with boosting[pdf][s2]TU Graz2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9
h3dH3DPoselets: Body Part Detectors Trained Using 3D Human Pose AnnotationsPoselets: Body part detectors trained using 3D human pose annotations[pdf][s2]2830fb5282de23d7784b4b4bc37065d27839a412
hda_plusHDA+The HDA+ data set for research on fully automated re-identification systemsThe HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf][s2]8f02ec0be21461fbcedf51d864f944cfc42c875f
hda_plusHDA+A Multi-camera video data set for research on High-Definition surveillanceHDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf][s2]bd88bb2e4f351352d88ee7375af834360e223498
helenHelenInteractive Facial Feature LocalizationInteractive Facial Feature Localization[pdf][s2]95f12d27c3b4914e0668a268360948bce92f7db3
hi4d_adsipHi4D-ADSIPHi4D-ADSIP 3-D dynamic facial articulation databaseHi4D-ADSIP 3-D dynamic facial articulation database[pdf][s2]a8d0b149c2eadaa02204d3e4356fbc8eccf3b315
hipsterwarsHipsterwarsHipster Wars: Discovering Elements of Fashion StylesHipster Wars: Discovering Elements of Fashion Styles[pdf][s2]04c2cda00e5536f4b1508cbd80041e9552880e67
hollywood_headsetHollywoodHeadsContext-aware CNNs for person head detectionContext-Aware CNNs for Person Head Detection[pdf][s2]0ceda9dae8b9f322df65ca2ef02caca9758aec6f
hrt_transgenderHRT TransgenderIs the Eye Region More Reliable Than the Face? A Preliminary Study of Face-based Recognition on a Transgender DatasetIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf][s2]137aa2f891d474fce1e7a1d1e9b3aefe21e22b34
hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender TransformationInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf][s2]University of North Carolina at Wilmington2f43b614607163abf41dfe5d17ef6749a1b61304
ibm_difIBM Diversity in FacesDiversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf][s2]0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ifadIFADIndian Face Age Database: A Database for Face Recognition with Age VariationIndian Face Age Database: A Database for Face Recognition with Age Variation[pdf][s2]55c40cbcf49a0225e72d911d762c27bb1c2d14aa
ifdbIFDBIranian Face Database and Evaluation with a New Detection AlgorithmIranian Face Database and Evaluation with a New Detection Algorithm[pdf][s2]066d71fcd997033dce4ca58df924397dfe0b5fd1
ifdbIFDBIranian Face Database with age, pose and expressionIranian Face Database with age, pose and expression[pdf][s2]Islamic Azad Universityb71d1aa90dcbe3638888725314c0d56640c1fef1
iit_dehli_earIIT Dehli EarAutomated human identification using ear imagingAutomated Human Identification Using Ear Imaging[pdf][s2]faf40ce28857aedf183e193486f5b4b0a8c478a2
ijb_bIJB-BIARPA Janus Benchmark-B Face DatasetIARPA Janus Benchmark-B Face Dataset[pdf][s2]0cb2dd5f178e3a297a0c33068961018659d0f443
ijb_aIJB-APushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf][s2]140c95e53c619eac594d70f6369f518adfea12ef
ijb_cIJB-CIARPA Janus Benchmark CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf][s2]57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems: The i-LIDS User GuideImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf][s2]0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vidiLIDS-VIDPerson Re-Identi cation by Video RankingPerson Re-identification by Video Ranking[pdf][s2]98bb029afe2a1239c3fdab517323066f0957b81b
images_of_groupsImages of GroupsUnderstanding Groups of Images of PeopleUnderstanding images of groups of people[pdf][s2]Carnegie Mellon University21d9d0deed16f0ad62a4865e9acf0686f4f15492
imdb_faceIMDb FaceThe Devil of Face Recognition is in the NoiseThe Devil of Face Recognition is in the Noise[pdf][s2]9e31e77f9543ab42474ba4e9330676e18c242e72
imdb_wikiIMDB-WikiDeep expectation of real and apparent age from a single image without facial landmarksDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf][s2]10195a163ab6348eef37213a46f60a3d87f289c5
imdb_wikiIMDB-WikiDEX: Deep EXpectation of apparent age from a single imageDEX: Deep EXpectation of Apparent Age from a Single Image[pdf][s2]8355d095d3534ef511a9af68a3b2893339e3f96b
imfdbIMFDBIndian Movie Face Database: A Benchmark for Face Recognition Under Wide VariationsIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf][s2]BVBCET, Hubli, Indiaca3e88d87e1344d076c964ea89d91a75c417f5ee
immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy PredictionMulti-task Recurrent Neural Network for Immediacy Prediction[pdf][s2]1e3df3ca8feab0b36fd293fe689f93bb2aaac591
imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image UnderstandingSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf][s2]51eba481dac6b229a7490f650dff7b17ce05df73
inria_personINRIA PedestrianHistograms of Oriented Gradients for Human DetectionHistograms of oriented gradients for human detection[pdf][s2]INRIA Rhone-Alps, Montbonnot, France10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5
jaffeJAFFECoding Facial Expressions with Gabor WaveletsCoding Facial Expressions with Gabor Wavelets[pdf][s2]45c31cde87258414f33412b3b12fc5bec7cb3ba9
jiku_mobileJiku Mobile Video DatasetThe Jiku Mobile Video DatasetThe jiku mobile video dataset[pdf][s2]National University of Singapored178cde92ab3dc0dd2ebee5a76a33d556c39448b
jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?First-Person Activity Recognition: What Are They Doing to Me?[pdf][s2]1aad2da473888cb7ebc1bfaa15bfa0f1502ce005
kin_faceUB KinFaceUnderstanding Kin Relationships in a PhotoUnderstanding Kin Relationships in a Photo[pdf][s2]08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7
kin_faceUB KinFaceGenealogical Face Recognition based on UB KinFace DatabaseGenealogical face recognition based on UB KinFace database[pdf][s2]SUNY Buffalo2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d
kin_faceUB KinFaceKinship Verification through Transfer LearningKinship Verification through Transfer Learning[pdf][s2]4793f11fbca4a7dba898b9fff68f70d868e2497c
kinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face RecognitionKinectFaceDB: A Kinect Database for Face Recognition[pdf][s2]University of North Carolina at Chapel Hill0b440695c822a8e35184fb2f60dcdaa8a6de84ae
kittiKITTIVision meets Robotics: The KITTI DatasetVision meets robotics: The KITTI dataset[pdf][s2]026e3363b7f76b51cc711886597a44d5f1fd1de2
lagLAGLarge Age-Gap Face Verification by Feature Injection in Deep NetworksLarge age-gap face verification by feature injection in deep networks[pdf][s2]0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e
laofiwLAOFIWTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network EmbeddingsTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings[pdf][s2]4eab317b5ac436a949849ed286baa3de2a541eef
large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person SearchEnd-to-End Deep Learning for Person Search[pdf][s2]2161f6b7ee3c0acc81603b01dc0df689683577b9
leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose EstimationClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf][s2]4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning Effective Human Pose Estimation from Inaccurate AnnotationLearning effective human pose estimation from inaccurate annotation[pdf][s2]University of Leeds4e4746094bf60ee83e40d8597a6191e463b57f76
lfpwLFPWLocalizing Parts of Faces Using a Consensus of ExemplarsLocalizing Parts of Faces Using a Consensus of Exemplars[pdf][s2]140438a77a771a8fb656b39a78ff488066eb6b50
lfwLFWLabeled Faces in the Wild: Updates and New Reporting ProceduresLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf][s2]2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfwLFWLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained EnvironmentsLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf][s2]370b5757a5379b15e30d619e4d3fb9e8e13f3256
lfwLFWLabeled Faces in the Wild: A SurveyLabeled Faces in the Wild: A Survey[pdf][s2]7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22
lfwLFWEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background StatisticsEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf][s2]133f01aec1534604d184d56de866a4bd531dac87
m2vtsm2vtsThe M2VTS Multimodal Face Database (Release 1.00)The M2VTS Multimodal Face Database (Release 1.00)[pdf][s2]Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium8be57cdad86fdf8c8290df4ca3149592f3c46dd3
m2vtsdb_extendedxm2vtsdbXM2VTSDB: The Extended M2VTS DatabaseXM2VTSDB : The extended M2VTS database[pdf][s2]b62628ac06bbac998a3ab825324a41a11bc3a988
mafaMAsked FAcesDetecting Masked Faces in the Wild with LLE-CNNsDetecting Masked Faces in the Wild with LLE-CNNs[pdf][s2]9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
maflMAFLFacial Landmark Detection by Deep Multi-task LearningFacial Landmark Detection by Deep Multi-task Learning[pdf][s2]8a3c5507237957d013a0fe0f082cab7f757af6ee
maflMAFLLearning Deep Representation for Face Alignment with Auxiliary AttributesLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf][s2]a0fd85b3400c7b3e11122f44dc5870ae2de9009a
malfMALFFine-grained Evaluation on Face Detection in the Wild.Fine-grained evaluation on face detection in the wild[pdf][s2]45e616093a92e5f1e61a7c6037d5f637aa8964af
mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street ScenesThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf][s2]79828e6e9f137a583082b8b5a9dfce0c301989b8
market_1501Market 1501Improving Person Re-identification by Attribute and Identity LearningImproving Person Re-identification by Attribute and Identity Learning[pdf][s2]7f23a4bb0c777dd72cca7665a5f370ac7980217e
market_1501Market 1501Scalable Person Re-identification: A BenchmarkScalable Person Re-identification: A Benchmark[pdf][s2]4308bd8c28e37e2ed9a3fcfe74d5436cce34b410
market_1501Market 1501Orientation Driven Bag of Appearances for Person Re-identificationOrientation Driven Bag of Appearances for Person Re-identification[pdf][s2]a7fe834a0af614ce6b50dc093132b031dd9a856b
marsMARSMARS: A Video Benchmark for Large-Scale Person Re-identificationMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf][s2]c0387e788a52f10bf35d4d50659cfa515d89fbec
mcgillMcGill Real WorldHierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World VideosHierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos[pdf][s2]2d45cfd838016a6e39f6b766ffe85acd649440c7
mcgillMcGill Real WorldRobust Semi-automatic Head Pose Labeling for Real-World Face Video SequencesRobust semi-automatic head pose labeling for real-world face video sequences[pdf][s2]McGill Universityc570d1247e337f91e555c3be0e8c8a5aba539d9f
megaageMegaAgeQuantifying Facial Age by Posterior of Age ComparisonsQuantifying Facial Age by Posterior of Age Comparisons[pdf][s2]c72a2ea819df9b0e8cd267eebcc6528b8741e03d
megafaceMegaFaceLevel Playing Field for Million Scale Face RecognitionLevel Playing Field for Million Scale Face Recognition[pdf][s2]28d4e027c7e90b51b7d8908fce68128d1964668a
megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at ScaleThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf][s2]96e0cfcd81cdeb8282e29ef9ec9962b125f379b0
mifsMIFSSpoofing Faces Using Makeup: An Investigative StudySpoofing faces using makeup: An investigative study[pdf][s2]INRIA Méditerranée23e824d1dfc33f3780dd18076284f07bd99f1c43
mit_cbclMIT CBCLComponent-based Face Recognition with 3D Morphable ModelsComponent-Based Face Recognition with 3D Morphable Models[pdf][s2]079a0a3bf5200994e1f972b1b9197bf2f90e87d4
miwMIWAutomatic Facial Makeup Detection with Application in Face RecognitionAutomatic facial makeup detection with application in face recognition[pdf][s2]West Virginia Universityfcc6fe6007c322641796cb8792718641856a22a7
mmi_facial_expressionMMI Facial Expression DatasetWEB-BASED DATABASE FOR FACIAL EXPRESSION ANALYSISWeb-based database for facial expression analysis[pdf][s2]2a75f34663a60ab1b04a0049ed1d14335129e908
moments_in_timeMoments in TimeMoments in Time Dataset: one million videos for event understandingMoments in Time Dataset: one million videos for event understanding[pdf][s2]41976ebc8ab76d9a6861487c97cc7fcbe3b6015f
morphMORPH CommercialMORPH: A Longitudinal Image Database of Normal Adult Age-ProgressionMORPH: a longitudinal image database of normal adult age-progression[pdf][s2]9055b155cbabdce3b98e16e5ac9c0edf00f9552f
morph_ncMORPH Non-CommercialMORPH: A Longitudinal Image Database of Normal Adult Age-ProgressionMORPH: a longitudinal image database of normal adult age-progression[pdf][s2]9055b155cbabdce3b98e16e5ac9c0edf00f9552f
motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT MetricsEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf][s2]2258e01865367018ed6f4262c880df85b94959f8
motMOTPerformance Measures and a Data Set for Multi-Target, Multi-Camera TrackingPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf][s2]27a2fad58dd8727e280f97036e0d2bc55ef5424c
motMOTLearning to associate: HybridBoosted multi-target tracker for crowded sceneLearning to associate: HybridBoosted multi-target tracker for crowded scene[pdf][s2]University of Southern California5981e6479c3fd4e31644db35d236bfb84ae46514
mpi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial ExpressionsThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf][s2]ea050801199f98a1c7c1df6769f23f658299a3ae
mpi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial ExpressionsThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf][s2]ea050801199f98a1c7c1df6769f23f658299a3ae
mpii_gazeMPIIGazeAppearance-based Gaze Estimation in the WildAppearance-based gaze estimation in the wild[pdf][s2]0df0d1adea39a5bef318b74faa37de7f3e00b452
mpii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf][s2]3325860c0c82a93b2eac654f5324dd6a776f609e
mr2MR2The MR2: A multi-racial mega-resolution database of facial stimuliThe MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf][s2]578d4ad74818086bb64f182f72e2c8bd31e3d426
mrp_droneMRP DroneInvestigating Open-World Person Re-identification Using a DroneInvestigating Open-World Person Re-identification Using a Drone[pdf][s2]ad01687649d95cd5b56d7399a9603c4b8e2217d7
mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face RecognitionMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf][s2]291265db88023e92bb8c8e6390438e5da148e8f5
msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-IdentificationPerson Transfer GAN to Bridge Domain Gap for Person Re-identification[pdf][s2]a0cc5f73a37723a6dd465924143f1cb4976d0169
mtflMTFLFacial Landmark Detection by Deep Multi-task LearningFacial Landmark Detection by Deep Multi-task Learning[pdf][s2]8a3c5507237957d013a0fe0f082cab7f757af6ee
mtflMTFLLearning Deep Representation for Face Alignment with Auxiliary AttributesLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf][s2]a0fd85b3400c7b3e11122f44dc5870ae2de9009a
mug_facesMUG FacesThe MUG Facial Expression DatabaseThe MUG facial expression database[pdf][s2]Aristotle University of Thessalonikif1af714b92372c8e606485a3982eab2f16772ad8
multi_pieMULTIPIEMulti-PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf][s2]4d423acc78273b75134e2afd1777ba6d3a398973
names_and_facesNews DatasetNames and FacesNames and faces in the news[pdf][s2]2fda164863a06a92d3a910b96eef927269aeb730
nd_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face RecognitionUsing a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf][s2]University of Notre Damefd8168f1c50de85bac58a8d328df0a50248b16ae
nova_emotionsNovaemötions DatasetCompetitive affective gamming: Winning with a smileCompetitive affective gaming: winning with a smile[pdf][s2]Universidade NOVA de Lisboa, Caparica, Portugal7f4040b482d16354d5938c1d1b926b544652bf5b
nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interactionCrowdsourcing facial expressions for affective-interaction[pdf][s2]c06b13d0ec3f5c43e2782cd22542588e233733c3
orlORLParameterisation of a Stochastic Model for Human Face IdentificationParameterisation of a stochastic model for human face identification[pdf][s2]55206f0b5f57ce17358999145506cd01e570358c
pa_100kPA-100KHydraPlus-Net: Attentive Deep Features for Pedestrian AnalysisHydraPlus-Net: Attentive Deep Features for Pedestrian Analysis[pdf][s2]f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44
penn_fudanPenn FudanObject Detection Combining Recognition and SegmentationObject Detection Combining Recognition and Segmentation[pdf][s2]3394168ff0719b03ff65bcea35336a76b21fe5e4
petaPETAPedestrian Attribute Recognition At Far DistancePedestrian Attribute Recognition At Far Distance[pdf][s2]2a4bbee0b4cf52d5aadbbc662164f7efba89566c
petsPETS 2017PETS 2017: Dataset and ChallengePETS 2017: Dataset and Challenge[pdf][s2]22909dd19a0ec3b6065334cb5be5392cb24d839d
pilot_parliamentPPBGender Shades: Intersectional Accuracy Disparities in Commercial Gender ClassificationGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification[pdf][s2]18858cc936947fc96b5c06bbe3c6c2faa5614540
pipaPIPABeyond Frontal Faces: Improving Person Recognition Using Multiple CuesBeyond frontal faces: Improving Person Recognition using multiple cues[pdf][s2]0a85bdff552615643dd74646ac881862a7c7072d
pku_reidPKU-ReidSwiss-System Based Cascade Ranking for Gait-based Person Re-identificationSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf][s2]f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f
pku_reidPKU-ReidOrientation driven bag of appearances for person re-identificationOrientation Driven Bag of Appearances for Person Re-identification[pdf][s2]a7fe834a0af614ce6b50dc093132b031dd9a856b
precariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial ImpostersExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf][s2]9e5378e7b336c89735d3bb15cf67eff96f86d39a
pridPRIDPerson Re-Identification by Descriptive and Discriminative ClassificationPerson Re-identification by Descriptive and Discriminative Classification[pdf][s2]16c7c31a7553d99f1837fc6e88e77b5ccbb346b8
prwPRWPerson Re-identification in the WildPerson Re-identification in the Wild[pdf][s2]0b84f07af44f964817675ad961def8a51406dd2e
psuPSUVision-based Analysis of Small Groups in Pedestrian CrowdsVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf][s2]066000d44d6691d27202896691f08b27117918b9
pubfigPubFigAttribute and Simile Classifiers for Face VerificationAttribute and simile classifiers for face verification[pdf][s2]759a3b3821d9f0e08e0b0a62c8b693230afc3f8d
pubfig_83pubfig83Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on FacebookScaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf][s2]Harvard University9c23859ec7313f2e756a3e85575735e0c52249f4
put_facePut FaceThe PUT face databaseThe put face database[pdf][s2]ae0aee03d946efffdc7af2362a42d3750e7dd48a
qmul_gridGRIDTime-delayed correlation analysis for multi-camera activity understandingTime-Delayed Correlation Analysis for Multi-Camera Activity Understanding[pdf][s2]Queen Mary University of London2edb87494278ad11641b6cf7a3f8996de12b8e14
qmul_gridGRIDMulti-Camera Activity Correlation AnalysisMulti-camera activity correlation analysis[pdf][s2]Queen Mary University of London3b5b6d19d4733ab606c39c69a889f9e67967f151
qmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition ChallengeSurveillance Face Recognition Challenge[pdf][s2]2306b2a8fba28539306052764a77a0d0f5d1236a
rafdRaFDPresentation and validation of the Radboud Faces DatabasePresentation and validation of the Radboud Faces Database[pdf][s2]3765df816dc5a061bc261e190acc8bdd9d47bec0
raidRAiDConsistent Re-identification in a Camera NetworkConsistent Re-identification in a Camera Network[pdf][s2]09d78009687bec46e70efcf39d4612822e61cb8c
rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute RecognitionA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf][s2]221c18238b829c12b911706947ab38fd017acef7
reseedReSEEDReSEED: Social Event dEtection DatasetReSEED: social event dEtection dataset[pdf][s2]54983972aafc8e149259d913524581357b0f91c3
saivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance NetworksA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf][s2]22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b
sarc3dSarc3DSARC3D: a new 3D body model for People Tracking and Re-identificationSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf][s2]e27ef52c641c2b5100a1b34fd0b819e84a31b4df
scfaceSCfaceSCface – surveillance cameras face databaseSCface – surveillance cameras face database[pdf][s2]29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d
scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty PerceptionSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf][s2]bd26dabab576adb6af30484183c9c9c8379bf2e0
scut_headSCUT HEADDetecting Heads using Feature Refine Net and Cascaded Multi-scale ArchitectureDetecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture[pdf][s2]d3200d49a19a4a4e4e9745ee39649b65d80c834b
sdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-IdentificationA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf][s2]3b4ec8af470948a72a6ed37a9fd226719a874ebc
sdu_vidSDU-VIDLocal descriptors encoded by Fisher vectors for person re-identificationLocal Descriptors Encoded by Fisher Vectors for Person Re-identification[pdf][s2]46a01565e6afe7c074affb752e7069ee3bf2e4ef
sdu_vidSDU-VIDPerson reidentification by video rankingPerson Re-identification by Video Ranking[pdf][s2]98bb029afe2a1239c3fdab517323066f0957b81b
social_relationSocial RelationLearning Social Relation Traits from Face ImagesLearning Social Relation Traits from Face Images[pdf][s2]2a171f8d14b6b8735001a11c217af9587d095848
sotonSOTON HiDOn a Large Sequence-Based Human Gait DatabaseOn a Large Sequence-Based Human Gait Database[pdf][s2]4f93cd09785c6e77bf4bc5a788e079df524c8d21
sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A Video Dataset for Sports AnalysisSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf][s2]1a40092b493c6b8840257ab7f96051d1a4dbfeb2
stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home ActionsSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf][s2]d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9
stanford_droneStanford DroneLearning Social Etiquette: Human Trajectory Prediction In Crowded ScenesSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf][s2]570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose EstimationClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf][s2]4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
stickmen_buffyBuffy StickmenLearning to Parse Images of Articulated ObjectsLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple PersonsWe Are Family: Joint Pose Estimation of Multiple Persons[pdf][s2]0dc11a37cadda92886c56a6fb5191ded62099c28
stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose EstimationLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascalStickmen PASCALLearning to Parse Images of Articulated ObjectsLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
sun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene UnderstandingThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf][s2]66e6f08873325d37e0ec20a4769ce881e04e964e
sun_attributesSUNSUN Attribute Database: Discovering, Annotating, and Recognizing Scene AttributesSUN attribute database: Discovering, annotating, and recognizing scene attributes[pdf][s2]Brown University833fa04463d90aab4a9fe2870d480f0b40df446e
svsSVSPedestrian Attribute Classification in Surveillance: Database and EvaluationPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf][s2]488e475eeb3bb39a145f23ede197cd3620f1d98a
texas_3dfrdTexas 3DFRDAnthropometric 3D Face RecognitionAnthropometric 3D Face Recognition[pdf][s2]2ce2560cf59db59ce313bbeb004e8ce55c5ce928
texas_3dfrdTexas 3DFRDTexas 3D Face Recognition DatabaseTexas 3D Face Recognition Database[pdf][s2]4d58f886f5150b2d5e48fd1b5a49e09799bf895d
tiny_facesTinyFaceLow-Resolution Face RecognitionLow-Resolution Face Recognition[pdf][s2]8990cdce3f917dad622e43e033db686b354d057c
tiny_imagesTiny Images80 million tiny images: a large dataset for non-parametric object and scene recognition80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf][s2]31b58ced31f22eab10bd3ee2d9174e7c14c27c01
tisiTimes Square IntersectionVideo Synopsis by Heterogeneous Multi-source CorrelationVideo Synopsis by Heterogeneous Multi-source Correlation[pdf][s2]b6c293f0420f7e945b5916ae44269fb53e139275
tisiTimes Square IntersectionLearning from Multiple Sources for Video SummarisationLearning from Multiple Sources for Video Summarisation[pdf][s2]287ddcb3db5562235d83aee318f318b8d5e43fb1
oxford_town_centreTownCentreStable Multi-Target Tracking in Real-Time Surveillance VideoStable multi-target tracking in real-time surveillance video[pdf][s2]9361b784e73e9238d5cefbea5ac40d35d1e3103f
tud_brusselsTUD-BrusselsMulti-Cue Onboard Pedestrian DetectionMulti-cue onboard pedestrian detection[pdf][s2]6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_campusTUD-CampusPeople-Tracking-by-Detection and People-Detection-by-TrackingPeople-tracking-by-detection and people-detection-by-tracking[pdf][s2]3316521a5527c7700af8ae6aef32a79a8b83672c
tud_crossingTUD-CrossingPeople-Tracking-by-Detection and People-Detection-by-TrackingPeople-tracking-by-detection and people-detection-by-tracking[pdf][s2]3316521a5527c7700af8ae6aef32a79a8b83672c
tud_motionpairsTUD-MotionparisMulti-Cue Onboard Pedestrian DetectionMulti-cue onboard pedestrian detection[pdf][s2]6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_multiviewTUD-MultiviewMonocular 3D Pose Estimation and Tracking by DetectionMonocular 3D pose estimation and tracking by detection[pdf][s2]TU Darmstadt436f798d1a4e54e5947c1e7d7375c31b2bdb4064
tud_pedestrianTUD-PedestrianPeople-Tracking-by-Detection and People-Detection-by-TrackingPeople-tracking-by-detection and people-detection-by-tracking[pdf][s2]3316521a5527c7700af8ae6aef32a79a8b83672c
tud_stadtmitteTUD-StadtmitteMonocular 3D Pose Estimation and Tracking by DetectionMonocular 3D pose estimation and tracking by detection[pdf][s2]TU Darmstadt436f798d1a4e54e5947c1e7d7375c31b2bdb4064
tvhiTVHIHigh Five: Recognising human interactions in TV showsHigh Five: Recognising human interactions in TV shows[pdf][s2]3cd40bfa1ff193a96bde0207e5140a399476466c
uccsUCCSLarge scale unconstrained open set face databaseLarge scale unconstrained open set face database[pdf][s2]07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1
uccsUCCSUnconstrained Face Detection and Open-Set Face Recognition ChallengeUnconstrained Face Detection and Open-Set Face Recognition Challenge[pdf][s2]d4f1eb008eb80595bcfdac368e23ae9754e1e745
ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The WildUCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf][s2]b5f2846a506fc417e7da43f6a7679146d99c5e96
ucf_crowdUCF-CC-50Multi-Source Multi-Scale Counting in Extremely Dense Crowd ImagesMulti-source Multi-scale Counting in Extremely Dense Crowd Images[pdf][s2]32c801cb7fbeb742edfd94cccfca4934baec71da
ucf_selfieUCF SelfieHow to Take a Good Selfie?How to Take a Good Selfie?[pdf][s2]041d3eedf5e45ce5c5229f0181c5c576ed1fafd6
ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline ResultsPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf][s2]3531332efe19be21e7401ba1f04570a142617236
umbUMBUMB-DB: A Database of Partially Occluded 3D FacesUMB-DB: A database of partially occluded 3D faces[pdf][s2]16e8b0a1e8451d5f697b94c0c2b32a00abee1d52
umd_facesUMDUMDFaces: An Annotated Face Dataset for Training Deep NetworksUMDFaces: An annotated face dataset for training deep networks[pdf][s2]31b05f65405534a696a847dd19c621b7b8588263
umd_facesUMDThe Do's and Don'ts for CNN-based Face VerificationThe Do’s and Don’ts for CNN-Based Face Verification[pdf][s2]71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
unbc_shoulder_painUNBC-McMaster PainPAINFUL DATA: The UNBC-McMaster Shoulder Pain Expression Archive DatabasePainful data: The UNBC-McMaster shoulder pain expression archive database[pdf][s2]Carnegie Mellon University56ffa7d906b08d02d6d5a12c7377a57e24ef3391
urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf][s2]774cbb45968607a027ae4729077734db000a1ec5
usedUSED Social Event DatasetUSED: A Large-scale Social Event Detection DatasetUSED: a large-scale social event detection dataset[pdf][s2]University of Trento8627f019882b024aef92e4eb9355c499c733e5b7
v47V47Re-identification of Pedestrians with Variable Occlusion and ScaleRe-identification of pedestrians with variable occlusion and scale[pdf][s2]Kingston University922e0a51a3b8c67c4c6ac09a577ff674cbd28b34
vadanaVADANAVADANA: A dense dataset for facial image analysisVADANA: A dense dataset for facial image analysis[pdf][s2]University of Delaware4563b46d42079242f06567b3f2e2f7a80cb3befe
vgg_celebs_in_placesCIPFaces in Places: Compound Query RetrievalFaces in Places: compound query retrieval[pdf][s2]7ebb153704706e457ab57b432793d2b6e5d12592
vgg_facesVGG FaceDeep Face RecognitionDeep Face Recognition[pdf][s2]162ea969d1929ed180cc6de9f0bf116993ff6e06
vgg_faces2VGG Face2VGGFace2: A dataset for recognising faces across pose and ageVGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf][s2]70c59dc3470ae867016f6ab0e008ac8ba03774a1
violent_flowsViolent FlowsViolent Flows: Real-Time Detection of Violent Crowd BehaviorViolent flows: Real-time detection of violent crowd behavior[pdf][s2]Open University of Israel5194cbd51f9769ab25260446b4fa17204752e799
viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and TrackingEvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf][s2]6273b3491e94ea4dd1ce42b791d77bdc96ee73a8
visual_phrasesPhrasal RecognitionRecognition using Visual PhrasesRecognition using visual phrases[pdf][s2]University of Illinois, Urbana-Champaigne8de844fefd54541b71c9823416daa238be65546
vmuVMUCan Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?Can facial cosmetics affect the matching accuracy of face recognition systems?[pdf][s2]West Virginia University37d6f0eb074d207b53885bd2eb78ccc8a04be597
vocVOCThe PASCAL Visual Object Classes (VOC) ChallengeThe Pascal Visual Object Classes (VOC) Challenge[pdf][s2]0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a
voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker RecognitionVoxCeleb2: Deep Speaker Recognition.[pdf][s2]8875ae233bc074f5cd6c4ebba447b536a7e847a5
vqaVQAVQA: Visual Question AnsweringVQA: Visual Question Answering[pdf][s2]01959ef569f74c286956024866c1d107099199f7
wardWARDRe-identify people in wide area camera networkRe-identify people in wide area camera network[pdf][s2]University of Udine6f3c76b7c0bd8e1d122c6ea808a271fd4749c951
who_goes_thereWGTWho Goes There? Approaches to Mapping Facial Appearance DiversityWho goes there?: approaches to mapping facial appearance diversity[pdf][s2]University of Kentucky9b9bf5e623cb8af7407d2d2d857bc3f1b531c182
widerWIDERRecognize Complex Events from Static Images by Fusing Deep ChannelsRecognize complex events from static images by fusing deep channels[pdf][s2]356b431d4f7a2a0a38cf971c84568207dcdbf189
wider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical ContextsHuman Attribute Recognition by Deep Hierarchical Contexts[pdf][s2]44d23df380af207f5ac5b41459c722c87283e1eb
wider_faceWIDER FACEWIDER FACE: A Face Detection BenchmarkWIDER FACE: A Face Detection Benchmark[pdf][s2]52d7eb0fbc3522434c13cc247549f74bb9609c5d
wildtrackWildTrackWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian DetectionWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf][s2]36bccfb2ad847096bc76777e544f305813cd8f5b
wlfdbWLFDBWLFDB: Weakly Labeled Face DatabasesWLFDB : Weakly Labeled Face Databases[pdf][s2]5ad4e9f947c1653c247d418f05dad758a3f9277b
yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and PoseFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf][s2]18c72175ddbb7d5956d180b65a96005c100f6014
yale_facesYaleFacesAcquiring Linear Subspaces for Face Recognition under Variable LightingAcquiring linear subspaces for face recognition under variable lighting[pdf][s2]2ad0ee93d029e790ebb50574f403a09854b65b7e
yawddYawDDYawDD: A Yawning Detection DatasetYawDD: a yawning detection dataset[pdf][s2]a94cae786d515d3450d48267e12ca954aab791c4
yfcc_100mYFCC100MYFCC100M: The New Data in Multimedia ResearchYFCC100M: the new data in multimedia research[pdf][s2]010f0f4929e6a6644fb01f0e43820f91d0fad292
york_3dUOY 3D Face DatabaseThree-Dimensional Face Recognition: An Eigensurface ApproachThree-dimensional face recognition: an eigensurface approach[pdf][s2]19d1b811df60f86cbd5e04a094b07f32fff7a32a
youtube_celebritiesYouTube CelebritiesFace Tracking and Recognition with Visual Constraints in Real-World VideosFace tracking and recognition with visual constraints in real-world videos[pdf][s2]Rutgers University6204776d31359d129a582057c2d788a14f8aadeb
youtube_facesYouTubeFacesFace Recognition in Unconstrained Videos with Matched Background SimilarityFace recognition in unconstrained videos with matched background similarity[pdf][s2]560e0e58d0059259ddf86fcec1fa7975dee6a868
youtube_makeupYMUCan Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?Can facial cosmetics affect the matching accuracy of face recognition systems?[pdf][s2]West Virginia University37d6f0eb074d207b53885bd2eb78ccc8a04be597
youtube_makeupYMUAutomatic Facial Makeup Detection with Application in Face RecognitionAutomatic facial makeup detection with application in face recognition[pdf][s2]West Virginia Universityfcc6fe6007c322641796cb8792718641856a22a7
youtube_posesYouTube PosePersonalizing Human Video Pose EstimationPersonalizing Human Video Pose Estimation[pdf][s2]1c2802c2199b6d15ecefe7ba0c39bfe44363de38
\ No newline at end of file +Paper Title Sanity Check

Paper Title Sanity Check

keynameour titlefound titleaddresss2 id
brainwashBrainwashEnd-to-End People Detection in Crowded ScenesEnd-to-End People Detection in Crowded Scenes[pdf][s2]1bd1645a629f1b612960ab9bba276afd4cf7c666
\ No newline at end of file diff --git a/scraper/reports/paper_title_report_no_location.html b/scraper/reports/paper_title_report_no_location.html index 3258e760..be1c5464 100644 --- a/scraper/reports/paper_title_report_no_location.html +++ b/scraper/reports/paper_title_report_no_location.html @@ -1 +1 @@ -Papers with no location

Papers with no location

keynameour titlefound titleaddresss2 id
10k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face imagesThe intrinsic memorability of face photographs.[pdf][s2]8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
3d_rma3D-RMAAutomatic 3D Face AuthenticationAutomatic 3D face authentication[pdf][s2]2160788824c4c29ffe213b2cbeb3f52972d73f37
3dddb_unconstrained3D DynamicA 3D Dynamic Database for Unconstrained Face RecognitionA 3D Dynamic Database for Unconstrained Face Recognition[pdf][s2]4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461
3dpes3DPeS3DPes: 3D People Dataset for Surveillance and Forensics3DPeS: 3D people dataset for surveillance and forensics[pdf][s2]2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e
4dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf][s2]a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43
fpoq50 People One QuestionMerging Pose Estimates Across Space and TimeMerging Pose Estimates Across Space and Time[pdf][s2]5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725
adienceAdienceAge and Gender Estimation of Unfiltered FacesAge and Gender Estimation of Unfiltered Faces[pdf][s2]1be498d4bbc30c3bfd0029114c784bc2114d67c0
afadAFADOrdinal Regression with a Multiple Output CNN for Age EstimationOrdinal Regression with Multiple Output CNN for Age Estimation[pdf][s2]6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wildAFEW-VA database for valence and arousal estimation in-the-wild[pdf][s2]2624d84503bc2f8e190e061c5480b6aa4d89277a
affectnetAffectNetAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild[pdf][s2]758d7e1be64cc668c59ef33ba8882c8597406e53
aflwAFLWAnnotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark LocalizationAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf][s2]a74251efa970b92925b89eeef50a5e37d9281ad0
afwAFWFace detection, pose estimation and landmark localization in the wildFace detection, pose estimation, and landmark localization in the wild[pdf][s2]0e986f51fe45b00633de9fd0c94d082d2be51406
agedbAgeDBAgeDB: the first manually collected, in-the-wild age databaseAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf][s2]d818568838433a6d6831adde49a58cef05e0c89f
alert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and DatasetsA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets[pdf][s2]6403117f9c005ae81f1e8e6d1302f4a045e3d99d
am_fedAM-FEDAffectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf][s2]47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
apisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and EvaluationPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf][s2]488e475eeb3bb39a145f23ede197cd3620f1d98a
appa_realAPPA-REALApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real DatabaseApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database[pdf][s2]633c851ebf625ad7abdda2324e9de093cf623141
appa_realAPPA-REALFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age EstimationFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation[pdf][s2]7b92d1e53cc87f7a4256695de590098a2f30261e
ar_facedbAR FaceThe AR Face DatabaseThe AR face database[pdf][s2]6d96f946aaabc734af7fe3fc4454cf8547fcd5ed
awe_earsAWE EarsEar Recognition: More Than a SurveyEar Recognition: More Than a Survey[pdf][s2]84fe5b4ac805af63206012d29523a1e033bc827e
b3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective CommunicationA 3-D Audio-Visual Corpus of Affective Communication[pdf][s2]d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae
bbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language VideosAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf][s2]213a579af9e4f57f071b884aa872651372b661fd
bfmBFMA 3D Face Model for Pose and Illumination Invariant Face RecognitionA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf][s2]639937b3a1b8bded3f7e9a40e85bd3770016cf3c
bio_idBioID FaceRobust Face Detection Using the Hausdorff DistanceRobust Face Detection Using the Hausdorff Distance[pdf][s2]4053e3423fb70ad9140ca89351df49675197196a
bosphorusThe BosphorusBosphorus Database for 3D Face AnalysisBosphorus Database for 3D Face Analysis[pdf][s2]2acf7e58f0a526b957be2099c10aab693f795973
bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior AnalysisMultimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf][s2]53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4
bpadBPADDescribing People: A Poselet-Based Approach to Attribute ClassificationDescribing people: A poselet-based approach to attribute classification[pdf][s2]7808937b46acad36e43c30ae4e9f3fd57462853d
brainwashBrainwashEnd-to-End People Detection in Crowded ScenesEnd-to-End People Detection in Crowded Scenes[pdf][s2]1bd1645a629f1b612960ab9bba276afd4cf7c666
bu_3dfeBU-3DFEA 3D Facial Expression Database For Facial Behavior ResearchA 3D facial expression database for facial behavior research[pdf][s2]cc589c499dcf323fe4a143bbef0074c3e31f9b60
cacdCross-Age Reference Coding for Age-Invariant Face Recognition and RetrievalCross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval[pdf][s2]c44c84540db1c38ace232ef34b03bda1c81ba039
cafe#N/AThe Child Affective Facial Expression (CAFE) Set: Validity and reliability from untrained adultsThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf][s2]20388099cc415c772926e47bcbbe554e133343d1
caltech_10k_web_facesCaltech 10K Web FacesPruning Training Sets for Learning of Object CategoriesPruning training sets for learning of object categories[pdf][s2]636b8ffc09b1b23ff714ac8350bb35635e49fa3c
caltech_crpCaltech CRPFine-grained classification of pedestrians in video: Benchmark and state of the artFine-grained classification of pedestrians in video: Benchmark and state of the art[pdf][s2]060820f110a72cbf02c14a6d1085bd6e1d994f6a
caltech_pedestriansCaltech PedestriansPedestrian Detection: A BenchmarkPedestrian detection: A benchmark[pdf][s2]1dc35905a1deff8bc74688f2d7e2f48fd2273275
cas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline EvaluationsThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf][s2]2485c98aa44131d1a2f7d1355b1e372f2bb148ad
casablancaCasablancaContext-aware {CNNs} for person head detectionContext-Aware CNNs for Person Head Detection[pdf][s2]0ceda9dae8b9f322df65ca2ef02caca9758aec6f
casia_webfaceCASIA WebfaceLearning Face Representation from ScratchLearning Face Representation from Scratch[pdf][s2]853bd61bc48a431b9b1c7cab10c603830c488e39
celebaCelebADeep Learning Face Attributes in the WildDeep Learning Face Attributes in the Wild[pdf][s2]6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4
cfdCFDThe Chicago face database: A free stimulus set of faces and norming dataThe Chicago face database: A free stimulus set of faces and norming data.[pdf][s2]4df3143922bcdf7db78eb91e6b5359d6ada004d2
chalearnChaLearnChaLearn Looking at People: A Review of Events and ResourcesChaLearn looking at people: A review of events and resources[pdf][s2]8d5998cd984e7cce307da7d46f155f9db99c6590
chokepointChokePointPatch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face RecognitionPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf][s2]0486214fb58ee9a04edfe7d6a74c6d0f661a7668
clothing_co_parsingCCPClothing Co-Parsing by Joint Image Segmentation and LabelingClothing Co-parsing by Joint Image Segmentation and Labeling[pdf][s2]2bf8541199728262f78d4dced6fb91479b39b738
cmdpCMDPDistance Estimation of an Unknown Person from a PortraitDistance Estimation of an Unknown Person from a Portrait[pdf][s2]56ae6d94fc6097ec4ca861f0daa87941d1c10b70
cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression DatabaseThe CMU Pose, Illumination, and Expression (PIE) Database[pdf][s2]4d423acc78273b75134e2afd1777ba6d3a398973
cocoCOCOMicrosoft COCO: Common Objects in ContextMicrosoft COCO: Common Objects in Context[pdf][s2]5e0f8c355a37a5a89351c02f174e7a5ddcb98683
coco_actionCOCO-aDescribing Common Human Visual Actions in ImagesDescribing Common Human Visual Actions in Images[pdf][s2]4946ba10a4d5a7d0a38372f23e6622bd347ae273
coco_qaCOCO QAExploring Models and Data for Image Question AnsweringExploring Models and Data for Image Question Answering[pdf][s2]35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62
cofwCOFWRobust face landmark estimation under occlusionRobust Face Landmark Estimation under Occlusion[pdf][s2]2724ba85ec4a66de18da33925e537f3902f21249
cohn_kanadeCKComprehensive Database for Facial Expression AnalysisComprehensive Database for Facial Expression Analysis[pdf][s2]23fc83c8cfff14a16df7ca497661264fc54ed746
complex_activitiesOngoing Complex ActivitiesRecognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label SpaceRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf][s2]65355cbb581a219bd7461d48b3afd115263ea760
cuhk_campus_03CUHK03 CampusHuman Reidentification with Transferred Metric LearningHuman Reidentification with Transferred Metric Learning[pdf][s2]44484d2866f222bbb9b6b0870890f9eea1ffb2d0
cuhk_campus_03CUHK03 CampusLocally Aligned Feature Transforms across ViewsLocally Aligned Feature Transforms across Views[pdf][s2]38b55d95189c5e69cf4ab45098a48fba407609b4
cuhk_campus_03CUHK03 CampusDeepReID: Deep Filter Pairing Neural Network for Person Re-identificationDeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf][s2]6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3
cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On-board Pedestrian DetectionAdaptive Image Sampling and Windows Classification for On-board Pedestrian Detection[pdf][s2]57fe081950f21ca03b5b375ae3e84b399c015861
ufiUFIUnconstrained Facial Images: Database for Face Recognition under Real-world ConditionsUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf][s2]4b4106614c1d553365bad75d7866bff0de6056ed
d3dfacsD3DFACSA FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial ModellingA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf][s2]070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus setThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf][s2]4e6ee936eb50dd032f7138702fa39b7c18ee8907
data_61Data61 PedestrianA Multi-Modal Graphical Model for Scene AnalysisA Multi-modal Graphical Model for Scene Analysis[pdf][s2]563c940054e4b456661762c1ab858e6f730c3159
deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich AnnotationsDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf][s2]18010284894ed0edcca74e5bf768ee2e15ef7841
deep_fashionDeepFashionFashion Landmark Detection in the WildFashion Landmark Detection in the Wild[pdf][s2]4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7
distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-distance and Cross-spectral MatchingNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf][s2]4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06
duke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-Target, Multi-Camera TrackingPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf][s2]27a2fad58dd8727e280f97036e0d2bc55ef5424c
duke_mtmcDuke MTMCImproving Person Re-identification by Attribute and Identity LearningImproving Person Re-identification by Attribute and Identity Learning[pdf][s2]7f23a4bb0c777dd72cca7665a5f370ac7980217e
duke_mtmcDuke MTMCUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in VitroUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[pdf][s2]15e1af79939dbf90790b03d8aa02477783fb1d0f
duke_mtmcDuke MTMCTracking Multiple People Online and in Real TimeTracking Multiple People Online and in Real Time[pdf][s2]64e0690dd176a93de9d4328f6e31fc4afe1e7536
emotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the WildEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf][s2]c900e0ad4c95948baaf0acd8449fde26f9b4952a
erceERCeVideo Synopsis by Heterogeneous Multi-source CorrelationVideo Synopsis by Heterogeneous Multi-source Correlation[pdf][s2]b6c293f0420f7e945b5916ae44269fb53e139275
erceERCeLearning from Multiple Sources for Video SummarisationLearning from Multiple Sources for Video Summarisation[pdf][s2]287ddcb3db5562235d83aee318f318b8d5e43fb1
europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object DetectionThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf][s2]72a155c987816ae81c858fddbd6beab656d86220
expwExpWFrom Facial Expression Recognition to Interpersonal Relation PredictionFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf][s2]22f656d0f8426c84a33a267977f511f127bfd7f3
face_scrubFaceScrubA data-driven approach to cleaning large face datasetsA data-driven approach to cleaning large face datasets[pdf][s2]0d3bb75852098b25d90f31d2f48fd0cb4944702b
face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with FacesFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf][s2]4c170a0dcc8de75587dae21ca508dab2f9343974
face_tracerFaceTracerFace Swapping: Automatically Replacing Faces in PhotographsFace swapping: automatically replacing faces in photographs[pdf][s2]670637d0303a863c1548d5b19f705860a23e285c
faceplaceFace PlaceRecognizing disguised facesRecognizing disguised faces[pdf][s2]25474c21613607f6bb7687a281d5f9d4ffa1f9f3
fddbFDDBFDDB: A Benchmark for Face Detection in Unconstrained SettingsFDDB: A benchmark for face detection in unconstrained settings[pdf][s2]75da1df4ed319926c544eefe17ec8d720feef8c0
feiFEICaptura e Alinhamento de Imagens: Um Banco de Faces BrasileiroA new ranking method for principal components analysis and its application to face image analysis[pdf][s2]8b56e33f33e582f3e473dba573a16b598ed9bcdc
feretFERETThe FERET Verification Testing Protocol for Face Recognition AlgorithmsThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf][s2]0c4a139bb87c6743c7905b29a3cfec27a5130652
feretFERETThe FERET Evaluation Methodology for Face-Recognition AlgorithmsThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf][s2]0f0fcf041559703998abf310e56f8a2f90ee6f21
feretFERETFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test ResultsFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results[pdf][s2]31de9b3dd6106ce6eec9a35991b2b9083395fd0b
feretFERETThe FERET database and evaluation procedure for face-recognition algorithmsThe FERET database and evaluation procedure for face-recognition algorithms[pdf][s2]dc8b25e35a3acb812beb499844734081722319b4
ferplusFER+Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label DistributionTraining deep networks for facial expression recognition with crowd-sourced label distribution[pdf][s2]298cbc3dfbbb3a20af4eed97906650a4ea1c29e0
fiaCMU FiAThe CMU Face In Action (FIA) DatabaseThe CMU Face In Action (FIA) Database[pdf][s2]47662d1a368daf70ba70ef2d59eb6209f98b675d
fiw_300300-WA semi-automatic methodology for facial landmark annotationA Semi-automatic Methodology for Facial Landmark Annotation[pdf][s2]013909077ad843eb6df7a3e8e290cfd5575999d2
fiw_300300-W300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf][s2]044d9a8c61383312cdafbcc44b9d00d650b21c70
fiw_300300-W300 faces In-the-wild challenge: Database and results300 Faces In-The-Wild Challenge: database and results[pdf][s2]e4754afaa15b1b53e70743880484b8d0736990ff
geofacesGeoFacesFACE2GPS: Estimating geographic location from facial featuresExploring the geo-dependence of human face appearance[pdf][s2]2cd7821fcf5fae53a185624f7eeda007434ae037
geofacesGeoFacesLarge-scale geo-facial image analysisLarge-scale geo-facial image analysis[pdf][s2]4af89578ac237278be310f7660a408b03f12d603
geofacesGeoFacesExploring the Geo-Dependence of Human Face AppearanceExploring the geo-dependence of human face appearance[pdf][s2]2cd7821fcf5fae53a185624f7eeda007434ae037
geofacesGeoFacesGeoFaceExplorer: Exploring the Geo-Dependence of Facial AttributesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf][s2]17b46e2dad927836c689d6787ddb3387c6159ece
georgia_tech_face_databaseGeorgia Tech FaceMaximum likelihood training of the embedded HMM for face detection and recognitionMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf][s2]3dc3f0b64ef80f573e3a5f96e456e52ee980b877
gfwGrouping Face in the WildMerge or Not? Learning to Group Faces via Imitation LearningMerge or Not? Learning to Group Faces via Imitation Learning[pdf][s2]e58dd160a76349d46f881bd6ddbc2921f08d1050
grazGraz PedestrianWeak Hypotheses and Boosting for Generic Object Detection and RecognitionWeak Hypotheses and Boosting for Generic Object Detection and Recognition[pdf][s2]0c91808994a250d7be332400a534a9291ca3b60e
h3dH3DPoselets: Body Part Detectors Trained Using 3D Human Pose AnnotationsPoselets: Body part detectors trained using 3D human pose annotations[pdf][s2]2830fb5282de23d7784b4b4bc37065d27839a412
hda_plusHDA+The HDA+ data set for research on fully automated re-identification systemsThe HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf][s2]8f02ec0be21461fbcedf51d864f944cfc42c875f
hda_plusHDA+A Multi-camera video data set for research on High-Definition surveillanceHDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf][s2]bd88bb2e4f351352d88ee7375af834360e223498
helenHelenInteractive Facial Feature LocalizationInteractive Facial Feature Localization[pdf][s2]95f12d27c3b4914e0668a268360948bce92f7db3
hi4d_adsipHi4D-ADSIPHi4D-ADSIP 3-D dynamic facial articulation databaseHi4D-ADSIP 3-D dynamic facial articulation database[pdf][s2]a8d0b149c2eadaa02204d3e4356fbc8eccf3b315
hipsterwarsHipsterwarsHipster Wars: Discovering Elements of Fashion StylesHipster Wars: Discovering Elements of Fashion Styles[pdf][s2]04c2cda00e5536f4b1508cbd80041e9552880e67
hollywood_headsetHollywoodHeadsContext-aware CNNs for person head detectionContext-Aware CNNs for Person Head Detection[pdf][s2]0ceda9dae8b9f322df65ca2ef02caca9758aec6f
hrt_transgenderHRT TransgenderIs the Eye Region More Reliable Than the Face? A Preliminary Study of Face-based Recognition on a Transgender DatasetIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf][s2]137aa2f891d474fce1e7a1d1e9b3aefe21e22b34
ibm_difIBM Diversity in FacesDiversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf][s2]0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ifadIFADIndian Face Age Database: A Database for Face Recognition with Age VariationIndian Face Age Database: A Database for Face Recognition with Age Variation[pdf][s2]55c40cbcf49a0225e72d911d762c27bb1c2d14aa
ifdbIFDBIranian Face Database and Evaluation with a New Detection AlgorithmIranian Face Database and Evaluation with a New Detection Algorithm[pdf][s2]066d71fcd997033dce4ca58df924397dfe0b5fd1
iit_dehli_earIIT Dehli EarAutomated human identification using ear imagingAutomated Human Identification Using Ear Imaging[pdf][s2]faf40ce28857aedf183e193486f5b4b0a8c478a2
ijb_bIJB-BIARPA Janus Benchmark-B Face DatasetIARPA Janus Benchmark-B Face Dataset[pdf][s2]0cb2dd5f178e3a297a0c33068961018659d0f443
ijb_aIJB-APushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf][s2]140c95e53c619eac594d70f6369f518adfea12ef
ijb_cIJB-CIARPA Janus Benchmark CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf][s2]57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems: The i-LIDS User GuideImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf][s2]0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vidiLIDS-VIDPerson Re-Identi cation by Video RankingPerson Re-identification by Video Ranking[pdf][s2]98bb029afe2a1239c3fdab517323066f0957b81b
imdb_faceIMDb FaceThe Devil of Face Recognition is in the NoiseThe Devil of Face Recognition is in the Noise[pdf][s2]9e31e77f9543ab42474ba4e9330676e18c242e72
imdb_wikiIMDB-WikiDeep expectation of real and apparent age from a single image without facial landmarksDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf][s2]10195a163ab6348eef37213a46f60a3d87f289c5
imdb_wikiIMDB-WikiDEX: Deep EXpectation of apparent age from a single imageDEX: Deep EXpectation of Apparent Age from a Single Image[pdf][s2]8355d095d3534ef511a9af68a3b2893339e3f96b
immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy PredictionMulti-task Recurrent Neural Network for Immediacy Prediction[pdf][s2]1e3df3ca8feab0b36fd293fe689f93bb2aaac591
imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image UnderstandingSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf][s2]51eba481dac6b229a7490f650dff7b17ce05df73
jaffeJAFFECoding Facial Expressions with Gabor WaveletsCoding Facial Expressions with Gabor Wavelets[pdf][s2]45c31cde87258414f33412b3b12fc5bec7cb3ba9
jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?First-Person Activity Recognition: What Are They Doing to Me?[pdf][s2]1aad2da473888cb7ebc1bfaa15bfa0f1502ce005
kin_faceUB KinFaceUnderstanding Kin Relationships in a PhotoUnderstanding Kin Relationships in a Photo[pdf][s2]08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7
kin_faceUB KinFaceKinship Verification through Transfer LearningKinship Verification through Transfer Learning[pdf][s2]4793f11fbca4a7dba898b9fff68f70d868e2497c
kittiKITTIVision meets Robotics: The KITTI DatasetVision meets robotics: The KITTI dataset[pdf][s2]026e3363b7f76b51cc711886597a44d5f1fd1de2
lagLAGLarge Age-Gap Face Verification by Feature Injection in Deep NetworksLarge age-gap face verification by feature injection in deep networks[pdf][s2]0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e
laofiwLAOFIWTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network EmbeddingsTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings[pdf][s2]4eab317b5ac436a949849ed286baa3de2a541eef
large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person SearchEnd-to-End Deep Learning for Person Search[pdf][s2]2161f6b7ee3c0acc81603b01dc0df689683577b9
leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose EstimationClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf][s2]4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
lfpwLFPWLocalizing Parts of Faces Using a Consensus of ExemplarsLocalizing Parts of Faces Using a Consensus of Exemplars[pdf][s2]140438a77a771a8fb656b39a78ff488066eb6b50
lfwLFWLabeled Faces in the Wild: Updates and New Reporting ProceduresLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf][s2]2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfwLFWLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained EnvironmentsLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf][s2]370b5757a5379b15e30d619e4d3fb9e8e13f3256
lfwLFWLabeled Faces in the Wild: A SurveyLabeled Faces in the Wild: A Survey[pdf][s2]7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22
lfwLFWEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background StatisticsEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf][s2]133f01aec1534604d184d56de866a4bd531dac87
m2vtsdb_extendedxm2vtsdbXM2VTSDB: The Extended M2VTS DatabaseXM2VTSDB : The extended M2VTS database[pdf][s2]b62628ac06bbac998a3ab825324a41a11bc3a988
mafaMAsked FAcesDetecting Masked Faces in the Wild with LLE-CNNsDetecting Masked Faces in the Wild with LLE-CNNs[pdf][s2]9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
maflMAFLFacial Landmark Detection by Deep Multi-task LearningFacial Landmark Detection by Deep Multi-task Learning[pdf][s2]8a3c5507237957d013a0fe0f082cab7f757af6ee
maflMAFLLearning Deep Representation for Face Alignment with Auxiliary AttributesLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf][s2]a0fd85b3400c7b3e11122f44dc5870ae2de9009a
malfMALFFine-grained Evaluation on Face Detection in the Wild.Fine-grained evaluation on face detection in the wild[pdf][s2]45e616093a92e5f1e61a7c6037d5f637aa8964af
mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street ScenesThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf][s2]79828e6e9f137a583082b8b5a9dfce0c301989b8
market_1501Market 1501Improving Person Re-identification by Attribute and Identity LearningImproving Person Re-identification by Attribute and Identity Learning[pdf][s2]7f23a4bb0c777dd72cca7665a5f370ac7980217e
market_1501Market 1501Scalable Person Re-identification: A BenchmarkScalable Person Re-identification: A Benchmark[pdf][s2]4308bd8c28e37e2ed9a3fcfe74d5436cce34b410
market_1501Market 1501Orientation Driven Bag of Appearances for Person Re-identificationOrientation Driven Bag of Appearances for Person Re-identification[pdf][s2]a7fe834a0af614ce6b50dc093132b031dd9a856b
marsMARSMARS: A Video Benchmark for Large-Scale Person Re-identificationMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf][s2]c0387e788a52f10bf35d4d50659cfa515d89fbec
mcgillMcGill Real WorldHierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World VideosHierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos[pdf][s2]2d45cfd838016a6e39f6b766ffe85acd649440c7
megaageMegaAgeQuantifying Facial Age by Posterior of Age ComparisonsQuantifying Facial Age by Posterior of Age Comparisons[pdf][s2]c72a2ea819df9b0e8cd267eebcc6528b8741e03d
megafaceMegaFaceLevel Playing Field for Million Scale Face RecognitionLevel Playing Field for Million Scale Face Recognition[pdf][s2]28d4e027c7e90b51b7d8908fce68128d1964668a
megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at ScaleThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf][s2]96e0cfcd81cdeb8282e29ef9ec9962b125f379b0
mit_cbclMIT CBCLComponent-based Face Recognition with 3D Morphable ModelsComponent-Based Face Recognition with 3D Morphable Models[pdf][s2]079a0a3bf5200994e1f972b1b9197bf2f90e87d4
mmi_facial_expressionMMI Facial Expression DatasetWEB-BASED DATABASE FOR FACIAL EXPRESSION ANALYSISWeb-based database for facial expression analysis[pdf][s2]2a75f34663a60ab1b04a0049ed1d14335129e908
moments_in_timeMoments in TimeMoments in Time Dataset: one million videos for event understandingMoments in Time Dataset: one million videos for event understanding[pdf][s2]41976ebc8ab76d9a6861487c97cc7fcbe3b6015f
morphMORPH CommercialMORPH: A Longitudinal Image Database of Normal Adult Age-ProgressionMORPH: a longitudinal image database of normal adult age-progression[pdf][s2]9055b155cbabdce3b98e16e5ac9c0edf00f9552f
morph_ncMORPH Non-CommercialMORPH: A Longitudinal Image Database of Normal Adult Age-ProgressionMORPH: a longitudinal image database of normal adult age-progression[pdf][s2]9055b155cbabdce3b98e16e5ac9c0edf00f9552f
motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT MetricsEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf][s2]2258e01865367018ed6f4262c880df85b94959f8
motMOTPerformance Measures and a Data Set for Multi-Target, Multi-Camera TrackingPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf][s2]27a2fad58dd8727e280f97036e0d2bc55ef5424c
mpi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial ExpressionsThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf][s2]ea050801199f98a1c7c1df6769f23f658299a3ae
mpi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial ExpressionsThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf][s2]ea050801199f98a1c7c1df6769f23f658299a3ae
mpii_gazeMPIIGazeAppearance-based Gaze Estimation in the WildAppearance-based gaze estimation in the wild[pdf][s2]0df0d1adea39a5bef318b74faa37de7f3e00b452
mpii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf][s2]3325860c0c82a93b2eac654f5324dd6a776f609e
mr2MR2The MR2: A multi-racial mega-resolution database of facial stimuliThe MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf][s2]578d4ad74818086bb64f182f72e2c8bd31e3d426
mrp_droneMRP DroneInvestigating Open-World Person Re-identification Using a DroneInvestigating Open-World Person Re-identification Using a Drone[pdf][s2]ad01687649d95cd5b56d7399a9603c4b8e2217d7
mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face RecognitionMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf][s2]291265db88023e92bb8c8e6390438e5da148e8f5
msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-IdentificationPerson Transfer GAN to Bridge Domain Gap for Person Re-identification[pdf][s2]a0cc5f73a37723a6dd465924143f1cb4976d0169
mtflMTFLFacial Landmark Detection by Deep Multi-task LearningFacial Landmark Detection by Deep Multi-task Learning[pdf][s2]8a3c5507237957d013a0fe0f082cab7f757af6ee
mtflMTFLLearning Deep Representation for Face Alignment with Auxiliary AttributesLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf][s2]a0fd85b3400c7b3e11122f44dc5870ae2de9009a
multi_pieMULTIPIEMulti-PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf][s2]4d423acc78273b75134e2afd1777ba6d3a398973
names_and_facesNews DatasetNames and FacesNames and faces in the news[pdf][s2]2fda164863a06a92d3a910b96eef927269aeb730
nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interactionCrowdsourcing facial expressions for affective-interaction[pdf][s2]c06b13d0ec3f5c43e2782cd22542588e233733c3
orlORLParameterisation of a Stochastic Model for Human Face IdentificationParameterisation of a stochastic model for human face identification[pdf][s2]55206f0b5f57ce17358999145506cd01e570358c
pa_100kPA-100KHydraPlus-Net: Attentive Deep Features for Pedestrian AnalysisHydraPlus-Net: Attentive Deep Features for Pedestrian Analysis[pdf][s2]f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44
penn_fudanPenn FudanObject Detection Combining Recognition and SegmentationObject Detection Combining Recognition and Segmentation[pdf][s2]3394168ff0719b03ff65bcea35336a76b21fe5e4
petaPETAPedestrian Attribute Recognition At Far DistancePedestrian Attribute Recognition At Far Distance[pdf][s2]2a4bbee0b4cf52d5aadbbc662164f7efba89566c
petsPETS 2017PETS 2017: Dataset and ChallengePETS 2017: Dataset and Challenge[pdf][s2]22909dd19a0ec3b6065334cb5be5392cb24d839d
pilot_parliamentPPBGender Shades: Intersectional Accuracy Disparities in Commercial Gender ClassificationGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification[pdf][s2]18858cc936947fc96b5c06bbe3c6c2faa5614540
pipaPIPABeyond Frontal Faces: Improving Person Recognition Using Multiple CuesBeyond frontal faces: Improving Person Recognition using multiple cues[pdf][s2]0a85bdff552615643dd74646ac881862a7c7072d
pku_reidPKU-ReidSwiss-System Based Cascade Ranking for Gait-based Person Re-identificationSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf][s2]f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f
pku_reidPKU-ReidOrientation driven bag of appearances for person re-identificationOrientation Driven Bag of Appearances for Person Re-identification[pdf][s2]a7fe834a0af614ce6b50dc093132b031dd9a856b
precariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial ImpostersExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf][s2]9e5378e7b336c89735d3bb15cf67eff96f86d39a
pridPRIDPerson Re-Identification by Descriptive and Discriminative ClassificationPerson Re-identification by Descriptive and Discriminative Classification[pdf][s2]16c7c31a7553d99f1837fc6e88e77b5ccbb346b8
prwPRWPerson Re-identification in the WildPerson Re-identification in the Wild[pdf][s2]0b84f07af44f964817675ad961def8a51406dd2e
psuPSUVision-based Analysis of Small Groups in Pedestrian CrowdsVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf][s2]066000d44d6691d27202896691f08b27117918b9
pubfigPubFigAttribute and Simile Classifiers for Face VerificationAttribute and simile classifiers for face verification[pdf][s2]759a3b3821d9f0e08e0b0a62c8b693230afc3f8d
put_facePut FaceThe PUT face databaseThe put face database[pdf][s2]ae0aee03d946efffdc7af2362a42d3750e7dd48a
qmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition ChallengeSurveillance Face Recognition Challenge[pdf][s2]2306b2a8fba28539306052764a77a0d0f5d1236a
rafdRaFDPresentation and validation of the Radboud Faces DatabasePresentation and validation of the Radboud Faces Database[pdf][s2]3765df816dc5a061bc261e190acc8bdd9d47bec0
raidRAiDConsistent Re-identification in a Camera NetworkConsistent Re-identification in a Camera Network[pdf][s2]09d78009687bec46e70efcf39d4612822e61cb8c
rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute RecognitionA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf][s2]221c18238b829c12b911706947ab38fd017acef7
reseedReSEEDReSEED: Social Event dEtection DatasetReSEED: social event dEtection dataset[pdf][s2]54983972aafc8e149259d913524581357b0f91c3
saivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance NetworksA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf][s2]22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b
sarc3dSarc3DSARC3D: a new 3D body model for People Tracking and Re-identificationSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf][s2]e27ef52c641c2b5100a1b34fd0b819e84a31b4df
scfaceSCfaceSCface – surveillance cameras face databaseSCface – surveillance cameras face database[pdf][s2]29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d
scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty PerceptionSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf][s2]bd26dabab576adb6af30484183c9c9c8379bf2e0
scut_headSCUT HEADDetecting Heads using Feature Refine Net and Cascaded Multi-scale ArchitectureDetecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture[pdf][s2]d3200d49a19a4a4e4e9745ee39649b65d80c834b
sdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-IdentificationA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf][s2]3b4ec8af470948a72a6ed37a9fd226719a874ebc
sdu_vidSDU-VIDLocal descriptors encoded by Fisher vectors for person re-identificationLocal Descriptors Encoded by Fisher Vectors for Person Re-identification[pdf][s2]46a01565e6afe7c074affb752e7069ee3bf2e4ef
sdu_vidSDU-VIDPerson reidentification by video rankingPerson Re-identification by Video Ranking[pdf][s2]98bb029afe2a1239c3fdab517323066f0957b81b
social_relationSocial RelationLearning Social Relation Traits from Face ImagesLearning Social Relation Traits from Face Images[pdf][s2]2a171f8d14b6b8735001a11c217af9587d095848
sotonSOTON HiDOn a Large Sequence-Based Human Gait DatabaseOn a Large Sequence-Based Human Gait Database[pdf][s2]4f93cd09785c6e77bf4bc5a788e079df524c8d21
sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A Video Dataset for Sports AnalysisSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf][s2]1a40092b493c6b8840257ab7f96051d1a4dbfeb2
stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home ActionsSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf][s2]d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9
stanford_droneStanford DroneLearning Social Etiquette: Human Trajectory Prediction In Crowded ScenesSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf][s2]570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose EstimationClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf][s2]4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
stickmen_buffyBuffy StickmenLearning to Parse Images of Articulated ObjectsLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple PersonsWe Are Family: Joint Pose Estimation of Multiple Persons[pdf][s2]0dc11a37cadda92886c56a6fb5191ded62099c28
stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose EstimationLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascalStickmen PASCALLearning to Parse Images of Articulated ObjectsLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
sun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene UnderstandingThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf][s2]66e6f08873325d37e0ec20a4769ce881e04e964e
svsSVSPedestrian Attribute Classification in Surveillance: Database and EvaluationPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf][s2]488e475eeb3bb39a145f23ede197cd3620f1d98a
texas_3dfrdTexas 3DFRDAnthropometric 3D Face RecognitionAnthropometric 3D Face Recognition[pdf][s2]2ce2560cf59db59ce313bbeb004e8ce55c5ce928
texas_3dfrdTexas 3DFRDTexas 3D Face Recognition DatabaseTexas 3D Face Recognition Database[pdf][s2]4d58f886f5150b2d5e48fd1b5a49e09799bf895d
tiny_facesTinyFaceLow-Resolution Face RecognitionLow-Resolution Face Recognition[pdf][s2]8990cdce3f917dad622e43e033db686b354d057c
tiny_imagesTiny Images80 million tiny images: a large dataset for non-parametric object and scene recognition80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf][s2]31b58ced31f22eab10bd3ee2d9174e7c14c27c01
tisiTimes Square IntersectionVideo Synopsis by Heterogeneous Multi-source CorrelationVideo Synopsis by Heterogeneous Multi-source Correlation[pdf][s2]b6c293f0420f7e945b5916ae44269fb53e139275
tisiTimes Square IntersectionLearning from Multiple Sources for Video SummarisationLearning from Multiple Sources for Video Summarisation[pdf][s2]287ddcb3db5562235d83aee318f318b8d5e43fb1
oxford_town_centreTownCentreStable Multi-Target Tracking in Real-Time Surveillance VideoStable multi-target tracking in real-time surveillance video[pdf][s2]9361b784e73e9238d5cefbea5ac40d35d1e3103f
tud_brusselsTUD-BrusselsMulti-Cue Onboard Pedestrian DetectionMulti-cue onboard pedestrian detection[pdf][s2]6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_campusTUD-CampusPeople-Tracking-by-Detection and People-Detection-by-TrackingPeople-tracking-by-detection and people-detection-by-tracking[pdf][s2]3316521a5527c7700af8ae6aef32a79a8b83672c
tud_crossingTUD-CrossingPeople-Tracking-by-Detection and People-Detection-by-TrackingPeople-tracking-by-detection and people-detection-by-tracking[pdf][s2]3316521a5527c7700af8ae6aef32a79a8b83672c
tud_motionpairsTUD-MotionparisMulti-Cue Onboard Pedestrian DetectionMulti-cue onboard pedestrian detection[pdf][s2]6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_pedestrianTUD-PedestrianPeople-Tracking-by-Detection and People-Detection-by-TrackingPeople-tracking-by-detection and people-detection-by-tracking[pdf][s2]3316521a5527c7700af8ae6aef32a79a8b83672c
tvhiTVHIHigh Five: Recognising human interactions in TV showsHigh Five: Recognising human interactions in TV shows[pdf][s2]3cd40bfa1ff193a96bde0207e5140a399476466c
uccsUCCSLarge scale unconstrained open set face databaseLarge scale unconstrained open set face database[pdf][s2]07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1
uccsUCCSUnconstrained Face Detection and Open-Set Face Recognition ChallengeUnconstrained Face Detection and Open-Set Face Recognition Challenge[pdf][s2]d4f1eb008eb80595bcfdac368e23ae9754e1e745
ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The WildUCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf][s2]b5f2846a506fc417e7da43f6a7679146d99c5e96
ucf_crowdUCF-CC-50Multi-Source Multi-Scale Counting in Extremely Dense Crowd ImagesMulti-source Multi-scale Counting in Extremely Dense Crowd Images[pdf][s2]32c801cb7fbeb742edfd94cccfca4934baec71da
ucf_selfieUCF SelfieHow to Take a Good Selfie?How to Take a Good Selfie?[pdf][s2]041d3eedf5e45ce5c5229f0181c5c576ed1fafd6
ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline ResultsPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf][s2]3531332efe19be21e7401ba1f04570a142617236
umbUMBUMB-DB: A Database of Partially Occluded 3D FacesUMB-DB: A database of partially occluded 3D faces[pdf][s2]16e8b0a1e8451d5f697b94c0c2b32a00abee1d52
umd_facesUMDUMDFaces: An Annotated Face Dataset for Training Deep NetworksUMDFaces: An annotated face dataset for training deep networks[pdf][s2]31b05f65405534a696a847dd19c621b7b8588263
umd_facesUMDThe Do's and Don'ts for CNN-based Face VerificationThe Do’s and Don’ts for CNN-Based Face Verification[pdf][s2]71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf][s2]774cbb45968607a027ae4729077734db000a1ec5
vgg_celebs_in_placesCIPFaces in Places: Compound Query RetrievalFaces in Places: compound query retrieval[pdf][s2]7ebb153704706e457ab57b432793d2b6e5d12592
vgg_facesVGG FaceDeep Face RecognitionDeep Face Recognition[pdf][s2]162ea969d1929ed180cc6de9f0bf116993ff6e06
vgg_faces2VGG Face2VGGFace2: A dataset for recognising faces across pose and ageVGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf][s2]70c59dc3470ae867016f6ab0e008ac8ba03774a1
viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and TrackingEvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf][s2]6273b3491e94ea4dd1ce42b791d77bdc96ee73a8
vocVOCThe PASCAL Visual Object Classes (VOC) ChallengeThe Pascal Visual Object Classes (VOC) Challenge[pdf][s2]0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a
voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker RecognitionVoxCeleb2: Deep Speaker Recognition.[pdf][s2]8875ae233bc074f5cd6c4ebba447b536a7e847a5
vqaVQAVQA: Visual Question AnsweringVQA: Visual Question Answering[pdf][s2]01959ef569f74c286956024866c1d107099199f7
widerWIDERRecognize Complex Events from Static Images by Fusing Deep ChannelsRecognize complex events from static images by fusing deep channels[pdf][s2]356b431d4f7a2a0a38cf971c84568207dcdbf189
wider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical ContextsHuman Attribute Recognition by Deep Hierarchical Contexts[pdf][s2]44d23df380af207f5ac5b41459c722c87283e1eb
wider_faceWIDER FACEWIDER FACE: A Face Detection BenchmarkWIDER FACE: A Face Detection Benchmark[pdf][s2]52d7eb0fbc3522434c13cc247549f74bb9609c5d
wildtrackWildTrackWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian DetectionWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf][s2]36bccfb2ad847096bc76777e544f305813cd8f5b
wlfdbWLFDBWLFDB: Weakly Labeled Face DatabasesWLFDB : Weakly Labeled Face Databases[pdf][s2]5ad4e9f947c1653c247d418f05dad758a3f9277b
yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and PoseFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf][s2]18c72175ddbb7d5956d180b65a96005c100f6014
yale_facesYaleFacesAcquiring Linear Subspaces for Face Recognition under Variable LightingAcquiring linear subspaces for face recognition under variable lighting[pdf][s2]2ad0ee93d029e790ebb50574f403a09854b65b7e
yawddYawDDYawDD: A Yawning Detection DatasetYawDD: a yawning detection dataset[pdf][s2]a94cae786d515d3450d48267e12ca954aab791c4
yfcc_100mYFCC100MYFCC100M: The New Data in Multimedia ResearchYFCC100M: the new data in multimedia research[pdf][s2]010f0f4929e6a6644fb01f0e43820f91d0fad292
york_3dUOY 3D Face DatabaseThree-Dimensional Face Recognition: An Eigensurface ApproachThree-dimensional face recognition: an eigensurface approach[pdf][s2]19d1b811df60f86cbd5e04a094b07f32fff7a32a
youtube_facesYouTubeFacesFace Recognition in Unconstrained Videos with Matched Background SimilarityFace recognition in unconstrained videos with matched background similarity[pdf][s2]560e0e58d0059259ddf86fcec1fa7975dee6a868
youtube_posesYouTube PosePersonalizing Human Video Pose EstimationPersonalizing Human Video Pose Estimation[pdf][s2]1c2802c2199b6d15ecefe7ba0c39bfe44363de38
\ No newline at end of file +Papers with no location

Papers with no location

keynameour titlefound titleaddresss2 id
brainwashBrainwashEnd-to-End People Detection in Crowded ScenesEnd-to-End People Detection in Crowded Scenes[pdf][s2]1bd1645a629f1b612960ab9bba276afd4cf7c666
\ No newline at end of file diff --git a/scraper/reports/paper_title_report_nonmatching.html b/scraper/reports/paper_title_report_nonmatching.html index 7326a9f4..5889ec7c 100644 --- a/scraper/reports/paper_title_report_nonmatching.html +++ b/scraper/reports/paper_title_report_nonmatching.html @@ -1 +1 @@ -Paper Titles that do not match

Paper Titles that do not match

keynameour titlefound titleaddresss2 id
10k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face imagesThe intrinsic memorability of face photographs.[pdf][s2]8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
afadAFADOrdinal Regression with a Multiple Output CNN for Age EstimationOrdinal Regression with Multiple Output CNN for Age Estimation[pdf][s2]6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afwAFWFace detection, pose estimation and landmark localization in the wildFace detection, pose estimation, and landmark localization in the wild[pdf][s2]0e986f51fe45b00633de9fd0c94d082d2be51406
am_fedAM-FEDAffectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf][s2]47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
bp4d_spontanousBP4D-SpontanousA high resolution spontaneous 3D dynamic facial expression databaseA high-resolution spontaneous 3D dynamic facial expression database[pdf][s2]SUNY Binghamtonb91f54e1581fbbf60392364323d00a0cd43e493c
casablancaCasablancaContext-aware {CNNs} for person head detectionContext-Aware CNNs for Person Head Detection[pdf][s2]0ceda9dae8b9f322df65ca2ef02caca9758aec6f
cfdCFDThe Chicago face database: A free stimulus set of faces and norming dataThe Chicago face database: A free stimulus set of faces and norming data.[pdf][s2]4df3143922bcdf7db78eb91e6b5359d6ada004d2
cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression DatabaseThe CMU Pose, Illumination, and Expression (PIE) Database[pdf][s2]4d423acc78273b75134e2afd1777ba6d3a398973
columbia_gazeColumbia GazeGaze Locking: Passive Eye Contact Detection for Human–Object InteractionGaze locking: passive eye contact detection for human-object interaction[pdf][s2]Columbia University06f02199690961ba52997cde1527e714d2b3bf8f
d3dfacsD3DFACSA FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial ModellingA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf][s2]070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus setThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf][s2]4e6ee936eb50dd032f7138702fa39b7c18ee8907
disfaDISFA1DISFA: A Spontaneous Facial Action Intensity Database[pdf][s2]University of Denver5a5f0287484f0d480fed1ce585dbf729586f0edc
feiFEICaptura e Alinhamento de Imagens: Um Banco de Faces BrasileiroA new ranking method for principal components analysis and its application to face image analysis[pdf][s2]8b56e33f33e582f3e473dba573a16b598ed9bcdc
frgcFRGCOverview of the Face Recognition Grand ChallengeOverview of the face recognition grand challenge[pdf][s2]NIST18ae7c9a4bbc832b8b14bc4122070d7939f5e00e
geofacesGeoFacesFACE2GPS: Estimating geographic location from facial featuresExploring the geo-dependence of human face appearance[pdf][s2]2cd7821fcf5fae53a185624f7eeda007434ae037
hda_plusHDA+A Multi-camera video data set for research on High-Definition surveillanceHDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf][s2]bd88bb2e4f351352d88ee7375af834360e223498
ibm_difIBM Diversity in FacesDiversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf][s2]0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ijb_cIJB-CIARPA Janus Benchmark CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf][s2]57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems: The i-LIDS User GuideImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf][s2]0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vidiLIDS-VIDPerson Re-Identi cation by Video RankingPerson Re-identification by Video Ranking[pdf][s2]98bb029afe2a1239c3fdab517323066f0957b81b
images_of_groupsImages of GroupsUnderstanding Groups of Images of PeopleUnderstanding images of groups of people[pdf][s2]Carnegie Mellon University21d9d0deed16f0ad62a4865e9acf0686f4f15492
lfwLFWLabeled Faces in the Wild: Updates and New Reporting ProceduresLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf][s2]2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfwLFWLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained EnvironmentsLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf][s2]370b5757a5379b15e30d619e4d3fb9e8e13f3256
m2vtsdb_extendedxm2vtsdbXM2VTSDB: The Extended M2VTS DatabaseXM2VTSDB : The extended M2VTS database[pdf][s2]b62628ac06bbac998a3ab825324a41a11bc3a988
malfMALFFine-grained Evaluation on Face Detection in the Wild.Fine-grained evaluation on face detection in the wild[pdf][s2]45e616093a92e5f1e61a7c6037d5f637aa8964af
mr2MR2The MR2: A multi-racial mega-resolution database of facial stimuliThe MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf][s2]578d4ad74818086bb64f182f72e2c8bd31e3d426
multi_pieMULTIPIEMulti-PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf][s2]4d423acc78273b75134e2afd1777ba6d3a398973
names_and_facesNews DatasetNames and FacesNames and faces in the news[pdf][s2]2fda164863a06a92d3a910b96eef927269aeb730
nova_emotionsNovaemötions DatasetCompetitive affective gamming: Winning with a smileCompetitive affective gaming: winning with a smile[pdf][s2]Universidade NOVA de Lisboa, Caparica, Portugal7f4040b482d16354d5938c1d1b926b544652bf5b
sdu_vidSDU-VIDPerson reidentification by video rankingPerson Re-identification by Video Ranking[pdf][s2]98bb029afe2a1239c3fdab517323066f0957b81b
stanford_droneStanford DroneLearning Social Etiquette: Human Trajectory Prediction In Crowded ScenesSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf][s2]570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffyBuffy StickmenLearning to Parse Images of Articulated ObjectsLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose EstimationLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascalStickmen PASCALLearning to Parse Images of Articulated ObjectsLearning to parse images of articulated bodies[pdf][s2]6dd0597f8513dc100cd0bc1b493768cde45098a9
tiny_imagesTiny Images80 million tiny images: a large dataset for non-parametric object and scene recognition80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf][s2]31b58ced31f22eab10bd3ee2d9174e7c14c27c01
umd_facesUMDThe Do's and Don'ts for CNN-based Face VerificationThe Do’s and Don’ts for CNN-Based Face Verification[pdf][s2]71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker RecognitionVoxCeleb2: Deep Speaker Recognition.[pdf][s2]8875ae233bc074f5cd6c4ebba447b536a7e847a5
who_goes_thereWGTWho Goes There? Approaches to Mapping Facial Appearance DiversityWho goes there?: approaches to mapping facial appearance diversity[pdf][s2]University of Kentucky9b9bf5e623cb8af7407d2d2d857bc3f1b531c182
wlfdbWLFDBWLFDB: Weakly Labeled Face DatabasesWLFDB : Weakly Labeled Face Databases[pdf][s2]5ad4e9f947c1653c247d418f05dad758a3f9277b
\ No newline at end of file +Paper Titles that do not match

Paper Titles that do not match

keynameour titlefound titleaddresss2 id
\ No newline at end of file diff --git a/scraper/reports/report_coverage.html b/scraper/reports/report_coverage.html index 0eaff4ea..093dcab3 100644 --- a/scraper/reports/report_coverage.html +++ b/scraper/reports/report_coverage.html @@ -1 +1 @@ -Coverage

Coverage

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressCountryLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern Recognition71%99970929035576422
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown65%99964635348558429
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRR64%99964335656628362
370b5757a5379b15e30d619e4d3fb9e8e13f3256lfwLFWLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf]Unknown63%99963236759598382
5e0f8c355a37a5a89351c02f174e7a5ddcb98683cocoCOCOMicrosoft COCO: Common Objects in Context[pdf]Unknown61%99960839125722259
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - WorkshopseduUniversity of PittsburghUnited States40.44415295-79.9624399361%99960739257470518
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38avocVOCThe Pascal Visual Object Classes (VOC) Challenge[pdf]International Journal of Computer VisioncompanyMicrosoftUnited States47.64233180-122.1369302061%99960739128557422
026e3363b7f76b51cc711886597a44d5f1fd1de2kittiKITTIVision meets robotics: The KITTI dataset[pdf]I. J. Robotics Res.60%99960239736553462
f72f6a45ee240cc99296a287ff725aaa7e7ebb35caltech_pedestriansCaltech PedestriansPedestrian Detection: An Evaluation of the State of the Art[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748760%99959740270527466
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer Vision64%91458532947586316
6d96f946aaabc734af7fe3fc4454cf8547fcd5edar_facedbAR FaceThe AR face database[pdf]Unknown58%99957942058458530
31b58ced31f22eab10bd3ee2d9174e7c14c27c01tiny_imagesTiny Images80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence57%99957442589644337
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5inria_personINRIA PedestrianHistograms of oriented gradients for human detection[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduINRIA Rhone-Alps, Montbonnot, FranceFrance45.217886005.8073690057%99957242742419509
18ae7c9a4bbc832b8b14bc4122070d7939f5e00efrgcFRGCOverview of the face recognition grand challenge[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduNISTUnited States39.14004000-77.2185060057%99956843085549442
18c72175ddbb7d5956d180b65a96005c100f6014yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf]IEEE Trans. Pattern Anal. Mach. Intell.56%99956143866498462
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence55%99955444594495491
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]Unknown55%99955344669540439
b62628ac06bbac998a3ab825324a41a11bc3a988m2vtsdb_extendedxm2vtsdbXM2VTSDB : The extended M2VTS database[pdf]Unknown62%86453932537493404
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong KongChina22.41626320114.2109318057%91952639261694201
dc8b25e35a3acb812beb499844734081722319b4feretFERETThe FERET database and evaluation procedure for face-recognition algorithms[pdf]Image Vision Comput.52%999521478103591421
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]Unknown57%89950839151431451
55206f0b5f57ce17358999145506cd01e570358corlORLParameterisation of a stochastic model for human face identification[pdf]Unknown50%99950149894543427
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
4d423acc78273b75134e2afd1777ba6d3a398973multi_pieMULTIPIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
2830fb5282de23d7784b4b4bc37065d27839a412h3dH3DPoselets: Body part detectors trained using 3D human pose annotations[pdf]2009 IEEE 12th International Conference on Computer Vision58%71641530159492222
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]UnknowneduUniversity of California, Santa CruzUnited States36.99158470-122.0582771066%62441421033342276
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk_campus_03CUHK03 CampusDeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition73%56841215619320235
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing58%63236626444358264
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)companyMicrosoftUnited States47.64233180-122.1369302077%4603551059263185
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRReduChinese Academy of SciencesChina40.00447950116.3702380071%47633913719290182
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduTel Aviv UniversityIsrael32.1119889034.8045970266%50933817023294216
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)54%58831627144306282
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]UnknowncompanyAdobeUnited States37.33077030-121.8940951085%352298548212146
4053e3423fb70ad9140ca89351df49675197196abio_idBioID FaceRobust Face Detection Using the Hausdorff Distance[pdf]Unknown57%51128922249329182
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8pridPRIDPerson Re-identification by Descriptive and Discriminative Classification[pdf]Unknown68%38626312323204180
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
044d9a8c61383312cdafbcc44b9d00d650b21c70fiw_300300-W300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf]2013 IEEE International Conference on Computer Vision Workshops79%3232556815208120
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans59%42925417538198234
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition65%3872511362129196
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo54%46425021445282188
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A benchmark for face detection in unconstrained settings[pdf]Unknown65%38024713316202164
3765df816dc5a061bc261e190acc8bdd9d47bec0rafdRaFDPresentation and validation of the Radboud Faces Database[pdf]Unknown48%48723425339342144
2724ba85ec4a66de18da33925e537f3902f21249cofwCOFWRobust Face Landmark Estimation under Occlusion[pdf]2013 IEEE International Conference on Computer VisioneduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748772%3252339212194133
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
9361b784e73e9238d5cefbea5ac40d35d1e3103foxford_town_centreTownCentreStable multi-target tracking in real-time surveillance video[pdf]CVPR 2011eduUniversity of OxfordUnited Kingdom51.75345380-1.2540099767%32822110713186140
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduTU GrazAustria47.0707140015.4395040069%31821810027211107
13f06b08f371ba8b5d31c3e288b4deb61335b462eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene Analysis[pdf]2007 IEEE 11th International Conference on Computer VisioneduETH ZurichSwitzerland47.376313008.5476699063%32420312126193127
5981e6479c3fd4e31644db35d236bfb84ae46514motMOTLearning to associate: HybridBoosted multi-target tracker for crowded scene[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of Southern CaliforniaUnited States34.02241490-118.2863440761%32620012522190137
2acf7e58f0a526b957be2099c10aab693f795973bosphorusThe BosphorusBosphorus Database for 3D Face Analysis[pdf]Unknown56%35219815417162188
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance57%34319414923223114
44484d2866f222bbb9b6b0870890f9eea1ffb2d0cuhk_campus_03CUHK03 CampusHuman Reidentification with Transferred Metric Learning[pdf]Unknown69%280194869139137
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown65%2851851001319793
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown65%2851851001319793
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_multiviewTUD-MultiviewMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281059%31118512634208105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281059%31118512634208105
010f0f4929e6a6644fb01f0e43820f91d0fad292yfcc_100mYFCC100MYFCC100M: the new data in multimedia research[pdf]Commun. ACMeduCarnegie Mellon UniversityUnited States40.44416190-79.9427282664%2741769823172100
38b55d95189c5e69cf4ab45098a48fba407609b4cuhk_campus_03CUHK03 CampusLocally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition64%2581649415136117
833fa04463d90aab4a9fe2870d480f0b40df446esun_attributesSUNSUN attribute database: Discovering, annotating, and recognizing scene attributes[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduBrown UniversityUnited States41.82686820-71.4012314660%2641591052720656
1be498d4bbc30c3bfd0029114c784bc2114d67c0adienceAdienceAge and Gender Estimation of Unfiltered Faces[pdf]IEEE Transactions on Information Forensics and SecurityeduOpen University of IsraelIsrael32.7782416534.9956567387%1791562319880
140c95e53c619eac594d70f6369f518adfea12efijb_aIJB-APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)66%237156811415976
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduTU GrazAustria47.0707140015.4395040053%2931551381619597
6204776d31359d129a582057c2d788a14f8aadebyoutube_celebritiesYouTube CelebritiesFace tracking and recognition with visual constraints in real-world videos[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduRutgers UniversityUnited States40.47913175-74.4316886857%26715111511125121
013909077ad843eb6df7a3e8e290cfd5575999d2fiw_300300-WA Semi-automatic Methodology for Facial Landmark Annotation[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops80%18414836812067
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]Unknown64%225144811714677
27a2fad58dd8727e280f97036e0d2bc55ef5424cmotMOTPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
98bb029afe2a1239c3fdab517323066f0957b81bilids_mcts_vidiLIDS-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
98bb029afe2a1239c3fdab517323066f0957b81bsdu_vidSDU-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
e8de844fefd54541b71c9823416daa238be65546visual_phrasesPhrasal RecognitionRecognition using visual phrases[pdf]CVPR 2011eduUniversity of Illinois, Urbana-ChampaignUnited States40.11116745-88.2258766558%2461431031717068
291265db88023e92bb8c8e6390438e5da148e8f5mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf]UnknowncompanyMicrosoftUnited States47.64233180-122.1369302078%18014139812059
7808937b46acad36e43c30ae4e9f3fd57462853dbpadBPADDescribing people: A poselet-based approach to attribute classification[pdf]2011 International Conference on Computer Vision61%230140901416366
46a01565e6afe7c074affb752e7069ee3bf2e4efsdu_vidSDU-VIDLocal Descriptors Encoded by Fisher Vectors for Person Re-identification[pdf]Unknown67%197132651510888
0c91808994a250d7be332400a534a9291ca3b60egrazGraz PedestrianWeak Hypotheses and Boosting for Generic Object Detection and Recognition[pdf]Unknown56%2361311051716177
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62coco_qaCOCO QAExploring Models and Data for Image Question Answering[pdf]Unknown61%206126801116239
570f37ed63142312e6ccdf00ecc376341ec72b9fstanford_droneStanford DroneSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)56%22412599314081
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 2011eduUniversity of LeedsUnited Kingdom53.80387185-1.5524571270%16911851810865
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong KongChina22.41626320114.2109318066%178118601111266
22ad2c8c0f4d6aa4328b38d894b814ec22579761gallagherGallagherClothing cosegmentation for recognizing people[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.9427282665%17811662710086
b1f4423c227fa37b9680787be38857069247a307afew_vaAFEW-VACollecting Large, Richly Annotated Facial-Expression Databases from Movies[pdf]IEEE MultiMediaeduAustralian National UniversityAustralia-35.27769990149.1185270064%1811156688797
c0387e788a52f10bf35d4d50659cfa515d89fbecmarsMARSMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf]Unknown68%1681155349769
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)64%17611264211362
133f01aec1534604d184d56de866a4bd531dac87lfwLFWEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence60%183109741310377
0df0d1adea39a5bef318b74faa37de7f3e00b452mpii_gazeMPIIGazeAppearance-based gaze estimation in the wild[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)73%1491094039454
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)76%13910633510037
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDB-WikiDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer VisioneduETH ZurichSwitzerland47.376313008.5476699072%1451054099351
56ffa7d906b08d02d6d5a12c7377a57e24ef3391unbc_shoulder_painUNBC-McMaster PainPainful data: The UNBC-McMaster shoulder pain expression archive database[pdf]Face and Gesture 2011eduCarnegie Mellon UniversityUnited States40.44416190-79.9427282654%189103862110878
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3dscfaceSCfaceSCface – surveillance cameras face database[pdf]Multimedia Tools and Applications56%17910178158889
5a5f0287484f0d480fed1ce585dbf729586f0edcdisfaDISFADISFA: A Spontaneous Facial Action Intensity Database[pdf]IEEE Transactions on Affective ComputingeduUniversity of DenverUnited States39.67665410-104.9622030054%18410084179689
32c801cb7fbeb742edfd94cccfca4934baec71daucf_crowdUCF-CC-50Multi-source Multi-scale Counting in Extremely Dense Crowd Images[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition68%1481004858065
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition67%1489949710543
3b5b6d19d4733ab606c39c69a889f9e67967f151qmul_gridGRIDMulti-camera activity correlation analysis[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103569%142984477764
8355d095d3534ef511a9af68a3b2893339e3f96bimdb_wikiIMDB-WikiDEX: Deep EXpectation of Apparent Age from a Single Image[pdf]2015 IEEE International Conference on Computer Vision Workshop (ICCVW)78%122952747548
4f93cd09785c6e77bf4bc5a788e079df524c8d21sotonSOTON HiDOn a Large Sequence-Based Human Gait Database[pdf]Unknown63%15095551710351
8b56e33f33e582f3e473dba573a16b598ed9bcdcfeiFEIA new ranking method for principal components analysis and its application to face image analysis[pdf]Image Vision Comput.55%1699376669102
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.eduImperial College LondonUnited Kingdom51.49887085-0.1756079771%129923767455
066000d44d6691d27202896691f08b27117918b9psuPSUVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence54%1689078108579
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)64%138894919541
2d3482dcff69c7417c7b933f22de606a0e8e42d4lfwLFWLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf]UnknowneduUniversity of MassachusettsUnited States42.38897850-72.5286987069%123853837151
0486214fb58ee9a04edfe7d6a74c6d0f661a7668chokepointChokePointPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf]CVPR 2011 WORKSHOPS60%138835567663
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e3dpes3DPeS3DPeS: 3D people dataset for surveillance and forensics[pdf]Unknown62%133825197358
5a4df9bef1872865f0b619ac3aacc97f49e4a035cuhk_train_stationCUHK Train Station DatasetUnderstanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduChinese University of Hong KongChina22.41626320114.2109318058%141825956075
b91f54e1581fbbf60392364323d00a0cd43e493cbp4d_spontanousBP4D-SpontanousA high-resolution spontaneous 3D dynamic facial expression database[pdf]2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduSUNY BinghamtonUnited States42.08779975-75.9706606652%154807468075
a0fd85b3400c7b3e11122f44dc5870ae2de9009amaflMAFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
a0fd85b3400c7b3e11122f44dc5870ae2de9009amtflMTFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
7f23a4bb0c777dd72cca7665a5f370ac7980217eduke_mtmcDuke MTMCImproving Person Re-identification by Attribute and Identity Learning[pdf]CoRR84%87731404342
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22lfwLFWLabeled Faces in the Wild: A Survey[pdf]UnknowneduStevens Institute of TechnologyUnited States40.74225200-74.0270949064%109703976643
66e6f08873325d37e0ec20a4769ce881e04e964esun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf]International Journal of Computer Vision60%1167046148431
2a4bbee0b4cf52d5aadbbc662164f7efba89566cpetaPETAPedestrian Attribute Recognition At Far Distance[pdf]Unknown75%88662215036
70c59dc3470ae867016f6ab0e008ac8ba03774a1vgg_faces2VGG Face2VGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf]2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)80%83661736120
3394168ff0719b03ff65bcea35336a76b21fe5e4penn_fudanPenn FudanObject Detection Combining Recognition and Segmentation[pdf]Unknown61%105644195843
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)66%95633265045
04c2cda00e5536f4b1508cbd80041e9552880e67hipsterwarsHipsterwarsHipster Wars: Discovering Elements of Fashion Styles[pdf]Unknown64%95613445935
06f02199690961ba52997cde1527e714d2b3bf8fcolumbia_gazeColumbia GazeGaze locking: passive eye contact detection for human-object interaction[pdf]UnknowneduColumbia UniversityUnited States40.84198360-73.9436897176%79601904934
4df3143922bcdf7db78eb91e6b5359d6ada004d2cfdCFDThe Chicago face database: A free stimulus set of faces and norming data.[pdf]Behavior research methods60%99594017321
0c4a139bb87c6743c7905b29a3cfec27a5130652feretFERETThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf]UnknowneduCity University of New YorkUnited States40.87228250-73.8948917151%115595687537
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7kin_faceUB KinFaceUnderstanding Kin Relationships in a Photo[pdf]IEEE Transactions on Multimedia63%94593513361
2ce2560cf59db59ce313bbeb004e8ce55c5ce928texas_3dfrdTexas 3DFRDAnthropometric 3D Face Recognition[pdf]International Journal of Computer Vision63%91573456031
5194cbd51f9769ab25260446b4fa17204752e799violent_flowsViolent FlowsViolent flows: Real-time detection of violent crowd behavior[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduOpen University of IsraelIsrael32.7782416534.9956567365%88573164544
3cd40bfa1ff193a96bde0207e5140a399476466ctvhiTVHIHigh Five: Recognising human interactions in TV shows[pdf]Unknown57%985642106628
2160788824c4c29ffe213b2cbeb3f52972d73f373d_rma3D-RMAAutomatic 3D face authentication[pdf]Image Vision Comput.54%100544686336
ae0aee03d946efffdc7af2362a42d3750e7dd48aput_facePut FaceThe put face database[pdf]Unknown55%99544555548
2edb87494278ad11641b6cf7a3f8996de12b8e14qmul_gridGRIDTime-Delayed Correlation Analysis for Multi-Camera Activity Understanding[pdf]International Journal of Computer VisioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103563%84533145133
0b84f07af44f964817675ad961def8a51406dd2eprwPRWPerson Re-identification in the Wild[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)68%77522514727
0dc11a37cadda92886c56a6fb5191ded62099c28stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple Persons[pdf]Unknown65%78512755423
0b440695c822a8e35184fb2f60dcdaa8a6de84aekinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face Recognition[pdf]IEEE Transactions on Systems, Man, and Cybernetics: SystemseduUniversity of North Carolina at Chapel HillUnited States35.91139710-79.0504529061%82503262852
0a85bdff552615643dd74646ac881862a7c7072dpipaPIPABeyond frontal faces: Improving Person Recognition using multiple cues[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)companyFacebookUnited States37.39367170-122.0807262091%5449414112
c900e0ad4c95948baaf0acd8449fde26f9b4952aemotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)52%86454175429
f1af714b92372c8e606485a3982eab2f16772ad8mug_facesMUG FacesThe MUG facial expression database[pdf]11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10eduAristotle University of ThessalonikiGreece40.6298414522.9588935055%82453743447
636b8ffc09b1b23ff714ac8350bb35635e49fa3ccaltech_10k_web_facesCaltech 10K Web FacesPruning training sets for learning of object categories[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)70%63441944220
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4cafadAFADOrdinal Regression with Multiple Output CNN for Age Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)54%78423684431
2bf8541199728262f78d4dced6fb91479b39b738clothing_co_parsingCCPClothing Co-parsing by Joint Image Segmentation and Labeling[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition70%60421803428
4793f11fbca4a7dba898b9fff68f70d868e2497ckin_faceUB KinFaceKinship Verification through Transfer Learning[pdf]Unknown58%71413022942
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44pa_100kPA-100KHydraPlus-Net: Attentive Deep Features for Pedestrian Analysis[pdf]2017 IEEE International Conference on Computer Vision (ICCV)75%55411403617
faf40ce28857aedf183e193486f5b4b0a8c478a2iit_dehli_earIIT Dehli EarAutomated Human Identification Using Ear Imaging[pdf]Unknown50%80404063544
4d58f886f5150b2d5e48fd1b5a49e09799bf895dtexas_3dfrdTexas 3DFRDTexas 3D Face Recognition Database[pdf]2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)61%66402634027
31de9b3dd6106ce6eec9a35991b2b9083395fd0bferetFERETFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results[pdf]Unknown52%75393655420
47aeb3b82f54b5ae8142b4bdda7b614433e69b9aam_fedAM-FEDAffectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops46%83384564339
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2bsaivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf]2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)58%65382764520
79828e6e9f137a583082b8b5a9dfce0c301989b8mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf]2017 IEEE International Conference on Computer Vision (ICCV)61%61372404316
3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]Unknown54%67363142928
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951wardWARDRe-identify people in wide area camera network[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduUniversity of UdineItaly46.0810723013.2119474060%60362413821
fcc6fe6007c322641796cb8792718641856a22a7miwMIWAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
09d78009687bec46e70efcf39d4612822e61cb8craidRAiDConsistent Re-identification in a Camera Network[pdf]Unknown71%49351433413
fcc6fe6007c322641796cb8792718641856a22a7youtube_makeupYMUAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
51eba481dac6b229a7490f650dff7b17ce05df73imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)65%5234181466
8be57cdad86fdf8c8290df4ca3149592f3c46dd3m2vtsm2vtsThe M2VTS Multimodal Face Database (Release 1.00)[pdf]Unknown45%73334023933
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)eduUniversity of MarylandUnited States39.28996850-76.6219610379%4233923011
37d6f0eb074d207b53885bd2eb78ccc8a04be597vmuVMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
37d6f0eb074d207b53885bd2eb78ccc8a04be597youtube_makeupYMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
9c23859ec7313f2e756a3e85575735e0c52249f4facebook_100Facebook100Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
2161f6b7ee3c0acc81603b01dc0df689683577b9large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person Search[pdf]CoRR70%46321402716
9c23859ec7313f2e756a3e85575735e0c52249f4pubfig_83pubfig83Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
18858cc936947fc96b5c06bbe3c6c2faa5614540pilot_parliamentPPBGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification[pdf]Unknown53%59312804710
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52umbUMBUMB-DB: A database of partially occluded 3D faces[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)66%47311622224
356b431d4f7a2a0a38cf971c84568207dcdbf189widerWIDERRecognize complex events from static images by fusing deep channels[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)70%44311312915
8b2dd5c61b23ead5ae5508bb8ce808b5ea26673010k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face photographs.[pdf]Journal of experimental psychology. General56%52292323614
28d4e027c7e90b51b7d8908fce68128d1964668amegafaceMegaFaceLevel Playing Field for Million Scale Face Recognition[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of WashingtonUnited States47.65432380-122.3080089472%3928112299
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3d3dfacsD3DFACSA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf]2011 International Conference on Computer Vision52%50262453118
47662d1a368daf70ba70ef2d59eb6209f98b675dfiaCMU FiAThe CMU Face In Action (FIA) Database[pdf]Unknown48%54262854016
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0ferplusFER+Training deep networks for facial expression recognition with crowd-sourced label distribution[pdf]Unknown74%3425901816
e27ef52c641c2b5100a1b34fd0b819e84a31b4dfsarc3dSarc3DSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf]Unknown74%3425922112
57fe081950f21ca03b5b375ae3e84b399c015861cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection[pdf]Unknown51%47242312324
758d7e1be64cc668c59ef33ba8882c8597406e53affectnetAffectNetAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild[pdf]CoRR62%37231402511
d08cc366a4a0192a01e9a7495af1eb5d9f9e73aeb3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective Communication[pdf]IEEE Transactions on Multimedia55%42231922615
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)55%42231901726
1bd1645a629f1b612960ab9bba276afd4cf7c666brainwashBrainwashEnd-to-End People Detection in Crowded Scenes[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduStanford UniversityUnited States37.43131385-122.1693653555%42231911919
1c2802c2199b6d15ecefe7ba0c39bfe44363de38youtube_posesYouTube PosePersonalizing Human Video Pose Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduOxford UniversityUnited Kingdom51.75208490-1.2516646064%3623132308
0cb2dd5f178e3a297a0c33068961018659d0f443ijb_bIJB-BIARPA Janus Benchmark-B Face Dataset[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduMichigan State UniversityUnited States42.71856800-84.4779157163%3522133258
41976ebc8ab76d9a6861487c97cc7fcbe3b6015fmoments_in_timeMoments in TimeMoments in Time Dataset: one million videos for event understanding[pdf]CoRReduColumbia UniversityUnited States40.84198360-73.9436897176%292272272
a0cc5f73a37723a6dd465924143f1cb4976d0169msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-identification[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition92%242221204
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and SystemseduUniversity of Notre DameUnited States41.70456775-86.2382202663%35221331815
488e475eeb3bb39a145f23ede197cd3620f1d98aapisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
84fe5b4ac805af63206012d29523a1e033bc827eawe_earsAWE EarsEar Recognition: More Than a Survey[pdf]Neurocomputing77%2620601016
20388099cc415c772926e47bcbbe554e133343d1cafe#N/AThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf]54%3720173307
0ceda9dae8b9f322df65ca2ef02caca9758aec6fcasablancaCasablancaContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
0ceda9dae8b9f322df65ca2ef02caca9758aec6fhollywood_headsetHollywoodHeadsContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
0297448f3ed948e136bb06ceff10eccb34e5bb77ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf]Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology57%35201522114
488e475eeb3bb39a145f23ede197cd3620f1d98asvsSVSPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7deep_fashionDeepFashionFashion Landmark Detection in the Wild[pdf]Unknown73%2619711610
64e0690dd176a93de9d4328f6e31fc4afe1e7536duke_mtmcDuke MTMCTracking Multiple People Online and in Real Time[pdf]Unknown78%2318511210
221c18238b829c12b911706947ab38fd017acef7rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf]CoRR69%2618801610
d818568838433a6d6831adde49a58cef05e0c89fagedbAgeDBAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduImperial College LondonUnited Kingdom51.49887085-0.1756079794%181710143
213a579af9e4f57f071b884aa872651372b661fdbbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf]International Journal of Computer Vision65%2617911611
4946ba10a4d5a7d0a38372f23e6622bd347ae273coco_actionCOCO-aDescribing Common Human Visual Actions in Images[pdf]Unknown68%251780232
d178cde92ab3dc0dd2ebee5a76a33d556c39448bjiku_mobileJiku Mobile Video DatasetThe jiku mobile video dataset[pdf]UnknowneduNational University of SingaporeSingapore1.29620180103.7768994471%241770619
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY BuffaloUnited States42.93362780-78.8839447955%31171401121
ea050801199f98a1c7c1df6769f23f658299a3aempi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
ea050801199f98a1c7c1df6769f23f658299a3aempi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
1e3df3ca8feab0b36fd293fe689f93bb2aaac591immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy Prediction[pdf]2015 IEEE International Conference on Computer Vision (ICCV)62%2616102216
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6umd_facesUMDThe Do’s and Don’ts for CNN-Based Face Verification[pdf]2017 IEEE International Conference on Computer Vision Workshops (ICCVW)62%2616102168
19d1b811df60f86cbd5e04a094b07f32fff7a32ayork_3dUOY 3D Face DatabaseThree-dimensional face recognition: an eigensurface approach[pdf]2004 International Conference on Image Processing, 2004. ICIP '04.42%38162242413
b6c293f0420f7e945b5916ae44269fb53e139275erceERCeVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
b6c293f0420f7e945b5916ae44269fb53e139275tisiTimes Square IntersectionVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
2a171f8d14b6b8735001a11c217af9587d095848social_relationSocial RelationLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%231494167
8875ae233bc074f5cd6c4ebba447b536a7e847a5voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker Recognition.[pdf]Unknown41%3414192172
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725fpoq50 People One QuestionMerging Pose Estimates Across Space and Time[pdf]Unknown81%161330134
44d23df380af207f5ac5b41459c722c87283e1ebwider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical Contexts[pdf]Unknown72%181350144
45e616093a92e5f1e61a7c6037d5f637aa8964afmalfMALFFine-grained evaluation on face detection in the wild[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)71%171250125
774cbb45968607a027ae4729077734db000a1ec5urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf]Unknown67%181261126
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]Unknown80%151231213
4e6ee936eb50dd032f7138702fa39b7c18ee8907dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf]52%2111102183
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf]Unknown50%22111131110
b71d1aa90dcbe3638888725314c0d56640c1fef1ifdbIFDBIranian Face Database with age, pose and expression[pdf]2007 International Conference on Machine VisioneduIslamic Azad UniversityIran34.8452999048.5596212048%2311122149
57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)79%141130121
ca3e88d87e1344d076c964ea89d91a75c417f5eeimfdbIMFDBIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf]2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)eduBVBCET, Hubli, IndiaIndia15.3688332075.1213796065%171160115
25474c21613607f6bb7687a281d5f9d4ffa1f9f3faceplaceFace PlaceRecognizing disguised faces[pdf]Unknown34%29101901810
0f0fcf041559703998abf310e56f8a2f90ee6f21feretFERETThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf]Unknown34%2910193189
2f43b614607163abf41dfe5d17ef6749a1b61304hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf]IEEE Transactions on Information Forensics and SecurityeduUniversity of North Carolina at WilmingtonUnited States34.22498270-77.8690774477%13103068
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduUniversity of DelawareUnited States39.68103280-75.7540184067%151050510
2624d84503bc2f8e190e061c5480b6aa4d89277aafew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wild[pdf]Image Vision Comput.50%18990125
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence45%209110911
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)69%1394184
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315hi4d_adsipHi4D-ADSIPHi4D-ADSIP 3-D dynamic facial articulation database[pdf]Image Vision Comput.60%15961411
bd26dabab576adb6af30484183c9c9c8379bf2e0scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf]2015 IEEE International Conference on Systems, Man, and Cybernetics47%199102613
060820f110a72cbf02c14a6d1085bd6e1d994f6acaltech_crpCaltech CRPFine-grained classification of pedestrians in video: Benchmark and state of the art[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%1789098
2b926b3586399d028b46315d7d9fb9d879e4f79cfrav3dFRAV3DMultimodal 2D, 2.5D & 3D Face Verification[pdf]2006 International Conference on Image ProcessingeduUniversidad Rey Juan Carlos, SpainSpain40.33586610-3.8769432057%14860212
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]Unknown50%16881106
c570d1247e337f91e555c3be0e8c8a5aba539d9fmcgillMcGill Real WorldRobust semi-automatic head pose labeling for real-world face video sequences[pdf]Multimedia Tools and ApplicationseduMcGill UniversityCanada45.50397610-73.5749687044%188100137
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6ucf_selfieUCF SelfieHow to Take a Good Selfie?[pdf]Unknown73%1183075
633c851ebf625ad7abdda2324e9de093cf623141appa_realAPPA-REALApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database[pdf]2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)70%1073083
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
7f4040b482d16354d5938c1d1b926b544652bf5bnova_emotionsNovaemötions DatasetCompetitive affective gaming: winning with a smile[pdf]UnknowneduUniversidade NOVA de Lisboa, Caparica, PortugalPortugal38.66096400-9.2058130078%972054
4b4106614c1d553365bad75d7866bff0de6056edufiUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]Unknown50%1266046
22f656d0f8426c84a33a267977f511f127bfd7f3expwExpWFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf]International Journal of Computer Vision55%1165054
4af89578ac237278be310f7660a408b03f12d603geofacesGeoFacesLarge-scale geo-facial image analysis[pdf]EURASIP J. Image and Video Processing100%660042
2d45cfd838016a6e39f6b766ffe85acd649440c7mcgillMcGill Real WorldHierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos[pdf]Computer Vision and Image Understanding75%862053
1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)86%761152
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]UnknowneduUniversity of TrentoItaly46.0658836011.1159894086%761034
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge age-gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters71%752034
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)36%14590121
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)companySecurics Inc., Colorado Springs, COUnited States38.83388160-104.8213634083%651042
d4f1eb008eb80595bcfdac368e23ae9754e1e745uccsUCCSUnconstrained Face Detection and Open-Set Face Recognition Challenge[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)100%550041
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34v47V47Re-identification of pedestrians with variable occlusion and scale[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduKingston UniversityUnited Kingdom51.42930860-0.2684044056%954154
7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]Unknown100%550032
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]Unknown44%945063
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision50%844053
287ddcb3db5562235d83aee318f318b8d5e43fb1erceERCeLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduUniversity of Massachusetts DartmouthUnited States41.62772475-71.0072450180%541023
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)57%743135
9cc8cf0c7d7fa7607659921b6ff657e17e135eccmafaMAsked FAcesDetecting Masked Faces in the Wild with LLE-CNNs[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)80%541041
c72a2ea819df9b0e8cd267eebcc6528b8741e03dmegaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRR100%440040
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA MéditerranéeFrance43.615813107.0683800067%642015
22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)44%945018
54983972aafc8e149259d913524581357b0f91c3reseedReSEEDReSEED: social event dEtection dataset[pdf]Unknown67%642115
287ddcb3db5562235d83aee318f318b8d5e43fb1tisiTimes Square IntersectionLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
9e31e77f9543ab42474ba4e9330676e18c242e72imdb_faceIMDb FaceThe Devil of Face Recognition is in the Noise[pdf]UnknowneduNanyang Technological UniversitySingapore1.34841040103.6829796550%633041
a7fe834a0af614ce6b50dc093132b031dd9a856bmarket_1501Market 1501Orientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
578d4ad74818086bb64f182f72e2c8bd31e3d426mr2MR2The MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf]Behavior research methods43%734070
ad01687649d95cd5b56d7399a9603c4b8e2217d7mrp_droneMRP DroneInvestigating Open-World Person Re-identification Using a Drone[pdf]Unknown43%734152
a7fe834a0af614ce6b50dc093132b031dd9a856bpku_reidPKU-ReidOrientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
3531332efe19be21e7401ba1f04570a142617236ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRR75%431040
17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]Unknown100%220011
e58dd160a76349d46f881bd6ddbc2921f08d1050gfwGrouping Face in the WildMerge or Not? Learning to Group Faces via Imitation Learning[pdf]Unknown100%220020
4eab317b5ac436a949849ed286baa3de2a541eeflaofiwLAOFIWTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings[pdf]Unknown100%220020
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpku_reidPKU-ReidSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]Unknown50%422012
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b384613dddb_unconstrained3D DynamicA 3D Dynamic Database for Unconstrained Face Recognition[pdf]Unknown50%211011
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d434dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR25%413022
65355cbb581a219bd7461d48b3afd115263ea760complex_activitiesOngoing Complex ActivitiesRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf]2016 IEEE Winter Conference on Applications of Computer Vision (WACV)33%312030
55c40cbcf49a0225e72d911d762c27bb1c2d14aaifadIFADIndian Face Age Database: A Database for Face Recognition with Age Variation[pdf]Unknown50%211020
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding100%110010
2306b2a8fba28539306052764a77a0d0f5d1236aqmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRReduQueen Mary University of LondonUnited Kingdom51.52472720-0.03931035100%110010
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%110010
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDBWLFDB : Weakly Labeled Face Databases[pdf]Unknown100%110001
7b92d1e53cc87f7a4256695de590098a2f30261eappa_realAPPA-REALFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)100%000000
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
15e1af79939dbf90790b03d8aa02477783fb1d0fduke_mtmcDuke MTMCUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[pdf]2017 IEEE International Conference on Computer Vision (ICCV)100%000000
72a155c987816ae81c858fddbd6beab656d86220europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%202020
670637d0303a863c1548d5b19f705860a23e285cface_tracerFaceTracerFace swapping: automatically replacing faces in photographs[pdf]Unknown100%000000
12ad3b5bbbf407f8e54ea692c07633d1a867c566grazGraz PedestrianObject recognition using segmentation for feature detection[pdf]Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.eduInst. of Comput. Sci., Univ. of Leoben, AustriaAustria47.3847372015.09302010100%000000
bd88bb2e4f351352d88ee7375af834360e223498hda_plusHDA+HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf]Unknown0%202012
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25ibm_difIBM Diversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf]Unknown100%000000
066d71fcd997033dce4ca58df924397dfe0b5fd1ifdbIFDBIranian Face Database and Evaluation with a New Detection Algorithm[pdf]Unknown100%000000
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.94272826100%000000
140438a77a771a8fb656b39a78ff488066eb6b50lfpwLFPWLocalizing Parts of Faces Using a Consensus of Exemplars[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence100%000000
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop100%000000
2fda164863a06a92d3a910b96eef927269aeb730names_and_facesNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.100%000000
d3200d49a19a4a4e4e9745ee39649b65d80c834bscut_headSCUT HEADDetecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture[pdf]2018 24th International Conference on Pattern Recognition (ICPR)100%000000
8990cdce3f917dad622e43e033db686b354d057ctiny_facesTinyFaceLow-Resolution Face Recognition[pdf]CoRR100%000000
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_brusselsTUD-BrusselsMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_motionpairsTUD-MotionparisMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)100%000000
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]UnknowneduUniversity of KentuckyUnited States38.03337420-84.50177580100%000000
36bccfb2ad847096bc76777e544f305813cd8f5bwildtrackWildTrackWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition100%000000
\ No newline at end of file +Coverage

Coverage

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressCountryLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern Recognition71%99970929035576422
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown65%99964635348558429
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRR64%99964335656628362
370b5757a5379b15e30d619e4d3fb9e8e13f3256lfwLFWLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf]Unknown63%99963236759598382
5e0f8c355a37a5a89351c02f174e7a5ddcb98683cocoCOCOMicrosoft COCO: Common Objects in Context[pdf]Unknown61%99960839125722259
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - WorkshopseduUniversity of PittsburghUnited States40.44415295-79.9624399361%99960739257470518
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38avocVOCThe Pascal Visual Object Classes (VOC) Challenge[pdf]International Journal of Computer VisioncompanyMicrosoftUnited States47.64233180-122.1369302061%99960739128557422
026e3363b7f76b51cc711886597a44d5f1fd1de2kittiKITTIVision meets robotics: The KITTI dataset[pdf]I. J. Robotics Res.60%99960239736553462
f72f6a45ee240cc99296a287ff725aaa7e7ebb35caltech_pedestriansCaltech PedestriansPedestrian Detection: An Evaluation of the State of the Art[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748760%99959940069527466
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer Vision64%91458532947586316
6d96f946aaabc734af7fe3fc4454cf8547fcd5edar_facedbAR FaceThe AR face database[pdf]Unknown58%99957942058458530
31b58ced31f22eab10bd3ee2d9174e7c14c27c01tiny_imagesTiny Images80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence57%99957442589644337
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5inria_personINRIA PedestrianHistograms of oriented gradients for human detection[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduINRIA Rhone-Alps, Montbonnot, FranceFrance45.217886005.8073690057%99957342641419509
18ae7c9a4bbc832b8b14bc4122070d7939f5e00efrgcFRGCOverview of the face recognition grand challenge[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduNISTUnited States39.14004000-77.2185060057%99956843085549442
18c72175ddbb7d5956d180b65a96005c100f6014yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf]IEEE Trans. Pattern Anal. Mach. Intell.56%99956143866498462
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence55%99955444594495491
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]Unknown55%99955344669540439
b62628ac06bbac998a3ab825324a41a11bc3a988m2vtsdb_extendedxm2vtsdbXM2VTSDB : The extended M2VTS database[pdf]Unknown62%86453932537493404
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong KongChina22.41626320114.2109318057%91952639261694201
dc8b25e35a3acb812beb499844734081722319b4feretFERETThe FERET database and evaluation procedure for face-recognition algorithms[pdf]Image Vision Comput.52%999521478103591421
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]Unknown57%89950839151431451
55206f0b5f57ce17358999145506cd01e570358corlORLParameterisation of a stochastic model for human face identification[pdf]Unknown50%99950149894543427
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
4d423acc78273b75134e2afd1777ba6d3a398973multi_pieMULTIPIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
2830fb5282de23d7784b4b4bc37065d27839a412h3dH3DPoselets: Body part detectors trained using 3D human pose annotations[pdf]2009 IEEE 12th International Conference on Computer Vision58%71641530159492222
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]UnknowneduUniversity of California, Santa CruzUnited States36.99158470-122.0582771066%62441421033342276
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk_campus_03CUHK03 CampusDeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition73%56841215619320235
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing58%63236626444358264
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)companyMicrosoftUnited States47.64233180-122.1369302077%4603551059263185
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRReduChinese Academy of SciencesChina40.00447950116.3702380071%47633913719290182
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduTel Aviv UniversityIsrael32.1119889034.8045970266%50933817023294216
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)54%58831627144306282
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]UnknowncompanyAdobeUnited States37.33077030-121.8940951085%352298548212146
4053e3423fb70ad9140ca89351df49675197196abio_idBioID FaceRobust Face Detection Using the Hausdorff Distance[pdf]Unknown57%51128922249329182
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8pridPRIDPerson Re-identification by Descriptive and Discriminative Classification[pdf]Unknown68%38626312323204180
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
044d9a8c61383312cdafbcc44b9d00d650b21c70fiw_300300-W300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf]2013 IEEE International Conference on Computer Vision Workshops79%3232556815208120
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans59%42925417538198234
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition66%3872541331929196
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo54%46425021445282188
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A benchmark for face detection in unconstrained settings[pdf]Unknown65%38024713316202164
3765df816dc5a061bc261e190acc8bdd9d47bec0rafdRaFDPresentation and validation of the Radboud Faces Database[pdf]Unknown48%48723425339342144
2724ba85ec4a66de18da33925e537f3902f21249cofwCOFWRobust Face Landmark Estimation under Occlusion[pdf]2013 IEEE International Conference on Computer VisioneduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748772%3252339212194133
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
9361b784e73e9238d5cefbea5ac40d35d1e3103foxford_town_centreTownCentreStable multi-target tracking in real-time surveillance video[pdf]CVPR 2011eduUniversity of OxfordUnited Kingdom51.75345380-1.2540099768%32822210613186140
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduTU GrazAustria47.0707140015.4395040069%31821810027211107
13f06b08f371ba8b5d31c3e288b4deb61335b462eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene Analysis[pdf]2007 IEEE 11th International Conference on Computer VisioneduETH ZurichSwitzerland47.376313008.5476699063%32420312126193127
5981e6479c3fd4e31644db35d236bfb84ae46514motMOTLearning to associate: HybridBoosted multi-target tracker for crowded scene[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of Southern CaliforniaUnited States34.02241490-118.2863440761%32620012522190137
2acf7e58f0a526b957be2099c10aab693f795973bosphorusThe BosphorusBosphorus Database for 3D Face Analysis[pdf]Unknown56%35219815417162188
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance57%34319414923223114
44484d2866f222bbb9b6b0870890f9eea1ffb2d0cuhk_campus_03CUHK03 CampusHuman Reidentification with Transferred Metric Learning[pdf]Unknown69%280194869139137
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown66%285188971119793
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown66%285188971119793
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_multiviewTUD-MultiviewMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281060%31118612533208105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281060%31118612533208105
010f0f4929e6a6644fb01f0e43820f91d0fad292yfcc_100mYFCC100MYFCC100M: the new data in multimedia research[pdf]Commun. ACMeduCarnegie Mellon UniversityUnited States40.44416190-79.9427282664%2741769823172100
38b55d95189c5e69cf4ab45098a48fba407609b4cuhk_campus_03CUHK03 CampusLocally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition64%2581649415136117
833fa04463d90aab4a9fe2870d480f0b40df446esun_attributesSUNSUN attribute database: Discovering, annotating, and recognizing scene attributes[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduBrown UniversityUnited States41.82686820-71.4012314660%2641591052720656
1be498d4bbc30c3bfd0029114c784bc2114d67c0adienceAdienceAge and Gender Estimation of Unfiltered Faces[pdf]IEEE Transactions on Information Forensics and SecurityeduOpen University of IsraelIsrael32.7782416534.9956567387%1791562319880
140c95e53c619eac594d70f6369f518adfea12efijb_aIJB-APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)66%237156811415976
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduTU GrazAustria47.0707140015.4395040053%2931551381619597
6204776d31359d129a582057c2d788a14f8aadebyoutube_celebritiesYouTube CelebritiesFace tracking and recognition with visual constraints in real-world videos[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduRutgers UniversityUnited States40.47913175-74.4316886857%26715111511125121
013909077ad843eb6df7a3e8e290cfd5575999d2fiw_300300-WA Semi-automatic Methodology for Facial Landmark Annotation[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops80%18414836812067
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]Unknown64%225144811714677
27a2fad58dd8727e280f97036e0d2bc55ef5424cmotMOTPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
98bb029afe2a1239c3fdab517323066f0957b81bilids_mcts_vidiLIDS-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
98bb029afe2a1239c3fdab517323066f0957b81bsdu_vidSDU-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
e8de844fefd54541b71c9823416daa238be65546visual_phrasesPhrasal RecognitionRecognition using visual phrases[pdf]CVPR 2011eduUniversity of Illinois, Urbana-ChampaignUnited States40.11116745-88.2258766558%2461431031717068
291265db88023e92bb8c8e6390438e5da148e8f5mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf]UnknowncompanyMicrosoftUnited States47.64233180-122.1369302078%18014139812059
7808937b46acad36e43c30ae4e9f3fd57462853dbpadBPADDescribing people: A poselet-based approach to attribute classification[pdf]2011 International Conference on Computer Vision61%230140901416366
46a01565e6afe7c074affb752e7069ee3bf2e4efsdu_vidSDU-VIDLocal Descriptors Encoded by Fisher Vectors for Person Re-identification[pdf]Unknown67%197132651510888
0c91808994a250d7be332400a534a9291ca3b60egrazGraz PedestrianWeak Hypotheses and Boosting for Generic Object Detection and Recognition[pdf]Unknown56%2361311051716177
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62coco_qaCOCO QAExploring Models and Data for Image Question Answering[pdf]Unknown61%206126801116239
570f37ed63142312e6ccdf00ecc376341ec72b9fstanford_droneStanford DroneSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)56%22412599314081
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 2011eduUniversity of LeedsUnited Kingdom53.80387185-1.5524571271%16912049710865
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong KongChina22.41626320114.2109318066%178118601111266
22ad2c8c0f4d6aa4328b38d894b814ec22579761gallagherGallagherClothing cosegmentation for recognizing people[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.9427282665%17811662710086
b1f4423c227fa37b9680787be38857069247a307afew_vaAFEW-VACollecting Large, Richly Annotated Facial-Expression Databases from Movies[pdf]IEEE MultiMediaeduAustralian National UniversityAustralia-35.27769990149.1185270064%1811156688797
c0387e788a52f10bf35d4d50659cfa515d89fbecmarsMARSMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf]Unknown68%1681155349769
32c801cb7fbeb742edfd94cccfca4934baec71daucf_crowdUCF-CC-50Multi-source Multi-scale Counting in Extremely Dense Crowd Images[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition76%1481133538065
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)64%17611264211362
133f01aec1534604d184d56de866a4bd531dac87lfwLFWEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence60%183109741310377
0df0d1adea39a5bef318b74faa37de7f3e00b452mpii_gazeMPIIGazeAppearance-based gaze estimation in the wild[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)73%1491094039454
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)76%13910633510037
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDB-WikiDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer VisioneduETH ZurichSwitzerland47.376313008.5476699072%1451054099351
56ffa7d906b08d02d6d5a12c7377a57e24ef3391unbc_shoulder_painUNBC-McMaster PainPainful data: The UNBC-McMaster shoulder pain expression archive database[pdf]Face and Gesture 2011eduCarnegie Mellon UniversityUnited States40.44416190-79.9427282654%189103862110878
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3dscfaceSCfaceSCface – surveillance cameras face database[pdf]Multimedia Tools and Applications56%17910178158889
5a5f0287484f0d480fed1ce585dbf729586f0edcdisfaDISFADISFA: A Spontaneous Facial Action Intensity Database[pdf]IEEE Transactions on Affective ComputingeduUniversity of DenverUnited States39.67665410-104.9622030054%18410084179689
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition67%1489949710543
3b5b6d19d4733ab606c39c69a889f9e67967f151qmul_gridGRIDMulti-camera activity correlation analysis[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103569%142984477764
8355d095d3534ef511a9af68a3b2893339e3f96bimdb_wikiIMDB-WikiDEX: Deep EXpectation of Apparent Age from a Single Image[pdf]2015 IEEE International Conference on Computer Vision Workshop (ICCVW)79%122962647548
4f93cd09785c6e77bf4bc5a788e079df524c8d21sotonSOTON HiDOn a Large Sequence-Based Human Gait Database[pdf]Unknown63%15095551710351
8b56e33f33e582f3e473dba573a16b598ed9bcdcfeiFEIA new ranking method for principal components analysis and its application to face image analysis[pdf]Image Vision Comput.55%1699376669102
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.eduImperial College LondonUnited Kingdom51.49887085-0.1756079771%129923767455
066000d44d6691d27202896691f08b27117918b9psuPSUVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence54%1689177108579
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)64%138894919541
2d3482dcff69c7417c7b933f22de606a0e8e42d4lfwLFWLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf]UnknowneduUniversity of MassachusettsUnited States42.38897850-72.5286987069%123853837151
5a4df9bef1872865f0b619ac3aacc97f49e4a035cuhk_train_stationCUHK Train Station DatasetUnderstanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduChinese University of Hong KongChina22.41626320114.2109318060%141845746075
0486214fb58ee9a04edfe7d6a74c6d0f661a7668chokepointChokePointPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf]CVPR 2011 WORKSHOPS60%138835567663
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e3dpes3DPeS3DPeS: 3D people dataset for surveillance and forensics[pdf]Unknown62%133825197358
b91f54e1581fbbf60392364323d00a0cd43e493cbp4d_spontanousBP4D-SpontanousA high-resolution spontaneous 3D dynamic facial expression database[pdf]2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduSUNY BinghamtonUnited States42.08779975-75.9706606652%154807468075
a0fd85b3400c7b3e11122f44dc5870ae2de9009amaflMAFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
a0fd85b3400c7b3e11122f44dc5870ae2de9009amtflMTFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
7f23a4bb0c777dd72cca7665a5f370ac7980217eduke_mtmcDuke MTMCImproving Person Re-identification by Attribute and Identity Learning[pdf]CoRR84%87731404342
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22lfwLFWLabeled Faces in the Wild: A Survey[pdf]UnknowneduStevens Institute of TechnologyUnited States40.74225200-74.0270949064%109703976643
66e6f08873325d37e0ec20a4769ce881e04e964esun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf]International Journal of Computer Vision60%1167046148431
2a4bbee0b4cf52d5aadbbc662164f7efba89566cpetaPETAPedestrian Attribute Recognition At Far Distance[pdf]Unknown75%88662215036
70c59dc3470ae867016f6ab0e008ac8ba03774a1vgg_faces2VGG Face2VGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf]2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)80%83661736120
3394168ff0719b03ff65bcea35336a76b21fe5e4penn_fudanPenn FudanObject Detection Combining Recognition and Segmentation[pdf]Unknown61%105644195843
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)66%95633265045
04c2cda00e5536f4b1508cbd80041e9552880e67hipsterwarsHipsterwarsHipster Wars: Discovering Elements of Fashion Styles[pdf]Unknown64%95613445935
06f02199690961ba52997cde1527e714d2b3bf8fcolumbia_gazeColumbia GazeGaze locking: passive eye contact detection for human-object interaction[pdf]UnknowneduColumbia UniversityUnited States40.84198360-73.9436897176%79601904934
4df3143922bcdf7db78eb91e6b5359d6ada004d2cfdCFDThe Chicago face database: A free stimulus set of faces and norming data.[pdf]Behavior research methods60%99594017321
0c4a139bb87c6743c7905b29a3cfec27a5130652feretFERETThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf]UnknowneduCity University of New YorkUnited States40.87228250-73.8948917151%115595687537
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7kin_faceUB KinFaceUnderstanding Kin Relationships in a Photo[pdf]IEEE Transactions on Multimedia63%94593513361
2ce2560cf59db59ce313bbeb004e8ce55c5ce928texas_3dfrdTexas 3DFRDAnthropometric 3D Face Recognition[pdf]International Journal of Computer Vision63%91573456031
5194cbd51f9769ab25260446b4fa17204752e799violent_flowsViolent FlowsViolent flows: Real-time detection of violent crowd behavior[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduOpen University of IsraelIsrael32.7782416534.9956567365%88573164544
3cd40bfa1ff193a96bde0207e5140a399476466ctvhiTVHIHigh Five: Recognising human interactions in TV shows[pdf]Unknown57%985642106628
2160788824c4c29ffe213b2cbeb3f52972d73f373d_rma3D-RMAAutomatic 3D face authentication[pdf]Image Vision Comput.54%100544686336
ae0aee03d946efffdc7af2362a42d3750e7dd48aput_facePut FaceThe put face database[pdf]Unknown55%99544555548
2edb87494278ad11641b6cf7a3f8996de12b8e14qmul_gridGRIDTime-Delayed Correlation Analysis for Multi-Camera Activity Understanding[pdf]International Journal of Computer VisioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103563%84533145133
0b84f07af44f964817675ad961def8a51406dd2eprwPRWPerson Re-identification in the Wild[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)68%77522514727
0dc11a37cadda92886c56a6fb5191ded62099c28stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple Persons[pdf]Unknown65%78512755423
0b440695c822a8e35184fb2f60dcdaa8a6de84aekinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face Recognition[pdf]IEEE Transactions on Systems, Man, and Cybernetics: SystemseduUniversity of North Carolina at Chapel HillUnited States35.91139710-79.0504529061%82503262852
0a85bdff552615643dd74646ac881862a7c7072dpipaPIPABeyond frontal faces: Improving Person Recognition using multiple cues[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)companyFacebookUnited States37.39367170-122.0807262091%5449414112
c900e0ad4c95948baaf0acd8449fde26f9b4952aemotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)52%86454175429
f1af714b92372c8e606485a3982eab2f16772ad8mug_facesMUG FacesThe MUG facial expression database[pdf]11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10eduAristotle University of ThessalonikiGreece40.6298414522.9588935055%82453743447
636b8ffc09b1b23ff714ac8350bb35635e49fa3ccaltech_10k_web_facesCaltech 10K Web FacesPruning training sets for learning of object categories[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)70%63441944220
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4cafadAFADOrdinal Regression with Multiple Output CNN for Age Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)55%78433584431
2bf8541199728262f78d4dced6fb91479b39b738clothing_co_parsingCCPClothing Co-parsing by Joint Image Segmentation and Labeling[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition70%60421803428
1bd1645a629f1b612960ab9bba276afd4cf7c666brainwashBrainwashEnd-to-End People Detection in Crowded Scenes[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduStanford UniversityUnited States37.43131385-122.1693653561%67412534223
4793f11fbca4a7dba898b9fff68f70d868e2497ckin_faceUB KinFaceKinship Verification through Transfer Learning[pdf]Unknown58%71413022942
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44pa_100kPA-100KHydraPlus-Net: Attentive Deep Features for Pedestrian Analysis[pdf]2017 IEEE International Conference on Computer Vision (ICCV)75%55411403617
faf40ce28857aedf183e193486f5b4b0a8c478a2iit_dehli_earIIT Dehli EarAutomated Human Identification Using Ear Imaging[pdf]Unknown50%80404063544
4d58f886f5150b2d5e48fd1b5a49e09799bf895dtexas_3dfrdTexas 3DFRDTexas 3D Face Recognition Database[pdf]2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)61%66402634027
31de9b3dd6106ce6eec9a35991b2b9083395fd0bferetFERETFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results[pdf]Unknown52%75393655420
47aeb3b82f54b5ae8142b4bdda7b614433e69b9aam_fedAM-FEDAffectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops46%83384564339
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2bsaivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf]2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)58%65382764520
79828e6e9f137a583082b8b5a9dfce0c301989b8mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf]2017 IEEE International Conference on Computer Vision (ICCV)61%61372404316
3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]Unknown54%67363142928
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951wardWARDRe-identify people in wide area camera network[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduUniversity of UdineItaly46.0810723013.2119474060%60362413821
fcc6fe6007c322641796cb8792718641856a22a7miwMIWAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
09d78009687bec46e70efcf39d4612822e61cb8craidRAiDConsistent Re-identification in a Camera Network[pdf]Unknown71%49351433413
fcc6fe6007c322641796cb8792718641856a22a7youtube_makeupYMUAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
51eba481dac6b229a7490f650dff7b17ce05df73imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)65%5234181466
8be57cdad86fdf8c8290df4ca3149592f3c46dd3m2vtsm2vtsThe M2VTS Multimodal Face Database (Release 1.00)[pdf]Unknown45%73334023933
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)eduUniversity of MarylandUnited States39.28996850-76.6219610379%4233923011
37d6f0eb074d207b53885bd2eb78ccc8a04be597vmuVMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
37d6f0eb074d207b53885bd2eb78ccc8a04be597youtube_makeupYMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
9c23859ec7313f2e756a3e85575735e0c52249f4facebook_100Facebook100Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
2161f6b7ee3c0acc81603b01dc0df689683577b9large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person Search[pdf]CoRR70%46321402716
9c23859ec7313f2e756a3e85575735e0c52249f4pubfig_83pubfig83Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
18858cc936947fc96b5c06bbe3c6c2faa5614540pilot_parliamentPPBGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification[pdf]Unknown53%59312804710
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52umbUMBUMB-DB: A database of partially occluded 3D faces[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)66%47311622224
356b431d4f7a2a0a38cf971c84568207dcdbf189widerWIDERRecognize complex events from static images by fusing deep channels[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)70%44311312915
8b2dd5c61b23ead5ae5508bb8ce808b5ea26673010k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face photographs.[pdf]Journal of experimental psychology. General56%52292323614
28d4e027c7e90b51b7d8908fce68128d1964668amegafaceMegaFaceLevel Playing Field for Million Scale Face Recognition[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of WashingtonUnited States47.65432380-122.3080089472%3928112299
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3d3dfacsD3DFACSA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf]2011 International Conference on Computer Vision52%50262453118
47662d1a368daf70ba70ef2d59eb6209f98b675dfiaCMU FiAThe CMU Face In Action (FIA) Database[pdf]Unknown48%54262854016
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0ferplusFER+Training deep networks for facial expression recognition with crowd-sourced label distribution[pdf]Unknown74%3425901816
e27ef52c641c2b5100a1b34fd0b819e84a31b4dfsarc3dSarc3DSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf]Unknown74%3425922112
57fe081950f21ca03b5b375ae3e84b399c015861cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection[pdf]Unknown51%47242312324
8875ae233bc074f5cd6c4ebba447b536a7e847a5voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker Recognition.[pdf]Unknown71%342492312
758d7e1be64cc668c59ef33ba8882c8597406e53affectnetAffectNetAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild[pdf]CoRR62%37231402511
d08cc366a4a0192a01e9a7495af1eb5d9f9e73aeb3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective Communication[pdf]IEEE Transactions on Multimedia55%42231922615
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)55%42231901726
1c2802c2199b6d15ecefe7ba0c39bfe44363de38youtube_posesYouTube PosePersonalizing Human Video Pose Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduOxford UniversityUnited Kingdom51.75208490-1.2516646064%3623132308
0cb2dd5f178e3a297a0c33068961018659d0f443ijb_bIJB-BIARPA Janus Benchmark-B Face Dataset[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduMichigan State UniversityUnited States42.71856800-84.4779157163%3522133258
41976ebc8ab76d9a6861487c97cc7fcbe3b6015fmoments_in_timeMoments in TimeMoments in Time Dataset: one million videos for event understanding[pdf]CoRReduColumbia UniversityUnited States40.84198360-73.9436897176%292272272
a0cc5f73a37723a6dd465924143f1cb4976d0169msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-identification[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition92%242221204
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and SystemseduUniversity of Notre DameUnited States41.70456775-86.2382202663%35221331815
488e475eeb3bb39a145f23ede197cd3620f1d98aapisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
84fe5b4ac805af63206012d29523a1e033bc827eawe_earsAWE EarsEar Recognition: More Than a Survey[pdf]Neurocomputing77%2620601016
20388099cc415c772926e47bcbbe554e133343d1cafe#N/AThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf]54%3720173307
0ceda9dae8b9f322df65ca2ef02caca9758aec6fcasablancaCasablancaContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
0ceda9dae8b9f322df65ca2ef02caca9758aec6fhollywood_headsetHollywoodHeadsContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
0297448f3ed948e136bb06ceff10eccb34e5bb77ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf]Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology57%35201522114
488e475eeb3bb39a145f23ede197cd3620f1d98asvsSVSPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7deep_fashionDeepFashionFashion Landmark Detection in the Wild[pdf]Unknown73%2619711610
64e0690dd176a93de9d4328f6e31fc4afe1e7536duke_mtmcDuke MTMCTracking Multiple People Online and in Real Time[pdf]Unknown78%2318511210
221c18238b829c12b911706947ab38fd017acef7rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf]CoRR69%2618801610
d818568838433a6d6831adde49a58cef05e0c89fagedbAgeDBAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduImperial College LondonUnited Kingdom51.49887085-0.1756079794%181710143
213a579af9e4f57f071b884aa872651372b661fdbbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf]International Journal of Computer Vision65%2617911611
4946ba10a4d5a7d0a38372f23e6622bd347ae273coco_actionCOCO-aDescribing Common Human Visual Actions in Images[pdf]Unknown68%251780232
d178cde92ab3dc0dd2ebee5a76a33d556c39448bjiku_mobileJiku Mobile Video DatasetThe jiku mobile video dataset[pdf]UnknowneduNational University of SingaporeSingapore1.29620180103.7768994471%241770619
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY BuffaloUnited States42.93362780-78.8839447955%31171401121
ea050801199f98a1c7c1df6769f23f658299a3aempi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
ea050801199f98a1c7c1df6769f23f658299a3aempi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
1e3df3ca8feab0b36fd293fe689f93bb2aaac591immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy Prediction[pdf]2015 IEEE International Conference on Computer Vision (ICCV)62%2616102216
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6umd_facesUMDThe Do’s and Don’ts for CNN-Based Face Verification[pdf]2017 IEEE International Conference on Computer Vision Workshops (ICCVW)62%2616102168
19d1b811df60f86cbd5e04a094b07f32fff7a32ayork_3dUOY 3D Face DatabaseThree-dimensional face recognition: an eigensurface approach[pdf]2004 International Conference on Image Processing, 2004. ICIP '04.42%38162242413
b6c293f0420f7e945b5916ae44269fb53e139275erceERCeVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
b6c293f0420f7e945b5916ae44269fb53e139275tisiTimes Square IntersectionVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
2a171f8d14b6b8735001a11c217af9587d095848social_relationSocial RelationLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%231494167
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725fpoq50 People One QuestionMerging Pose Estimates Across Space and Time[pdf]Unknown81%161330134
44d23df380af207f5ac5b41459c722c87283e1ebwider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical Contexts[pdf]Unknown72%181350144
45e616093a92e5f1e61a7c6037d5f637aa8964afmalfMALFFine-grained evaluation on face detection in the wild[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)71%171250125
774cbb45968607a027ae4729077734db000a1ec5urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf]Unknown67%181261126
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]Unknown80%151231213
4e6ee936eb50dd032f7138702fa39b7c18ee8907dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf]52%2111102183
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf]Unknown50%22111131110
b71d1aa90dcbe3638888725314c0d56640c1fef1ifdbIFDBIranian Face Database with age, pose and expression[pdf]2007 International Conference on Machine VisioneduIslamic Azad UniversityIran34.8452999048.5596212048%2311122149
57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)79%141130121
ca3e88d87e1344d076c964ea89d91a75c417f5eeimfdbIMFDBIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf]2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)eduBVBCET, Hubli, IndiaIndia15.3688332075.1213796065%171160115
25474c21613607f6bb7687a281d5f9d4ffa1f9f3faceplaceFace PlaceRecognizing disguised faces[pdf]Unknown34%29101901810
0f0fcf041559703998abf310e56f8a2f90ee6f21feretFERETThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf]Unknown34%2910193189
2f43b614607163abf41dfe5d17ef6749a1b61304hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf]IEEE Transactions on Information Forensics and SecurityeduUniversity of North Carolina at WilmingtonUnited States34.22498270-77.8690774477%13103068
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduUniversity of DelawareUnited States39.68103280-75.7540184067%151050510
2624d84503bc2f8e190e061c5480b6aa4d89277aafew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wild[pdf]Image Vision Comput.50%18990125
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence45%209110911
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)69%1394184
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315hi4d_adsipHi4D-ADSIPHi4D-ADSIP 3-D dynamic facial articulation database[pdf]Image Vision Comput.60%15961411
bd26dabab576adb6af30484183c9c9c8379bf2e0scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf]2015 IEEE International Conference on Systems, Man, and Cybernetics47%199102613
060820f110a72cbf02c14a6d1085bd6e1d994f6acaltech_crpCaltech CRPFine-grained classification of pedestrians in video: Benchmark and state of the art[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%1789098
2b926b3586399d028b46315d7d9fb9d879e4f79cfrav3dFRAV3DMultimodal 2D, 2.5D & 3D Face Verification[pdf]2006 International Conference on Image ProcessingeduUniversidad Rey Juan Carlos, SpainSpain40.33586610-3.8769432057%14860212
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]Unknown50%16881106
c570d1247e337f91e555c3be0e8c8a5aba539d9fmcgillMcGill Real WorldRobust semi-automatic head pose labeling for real-world face video sequences[pdf]Multimedia Tools and ApplicationseduMcGill UniversityCanada45.50397610-73.5749687044%188100137
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6ucf_selfieUCF SelfieHow to Take a Good Selfie?[pdf]Unknown73%1183075
633c851ebf625ad7abdda2324e9de093cf623141appa_realAPPA-REALApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database[pdf]2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)70%1073083
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
7f4040b482d16354d5938c1d1b926b544652bf5bnova_emotionsNovaemötions DatasetCompetitive affective gaming: winning with a smile[pdf]UnknowneduUniversidade NOVA de Lisboa, Caparica, PortugalPortugal38.66096400-9.2058130078%972054
4b4106614c1d553365bad75d7866bff0de6056edufiUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]Unknown50%1266046
22f656d0f8426c84a33a267977f511f127bfd7f3expwExpWFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf]International Journal of Computer Vision55%1165054
4af89578ac237278be310f7660a408b03f12d603geofacesGeoFacesLarge-scale geo-facial image analysis[pdf]EURASIP J. Image and Video Processing100%660042
2d45cfd838016a6e39f6b766ffe85acd649440c7mcgillMcGill Real WorldHierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos[pdf]Computer Vision and Image Understanding75%862053
1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)86%761152
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]UnknowneduUniversity of TrentoItaly46.0658836011.1159894086%761034
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge age-gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters71%752034
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)36%14590121
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)companySecurics Inc., Colorado Springs, COUnited States38.83388160-104.8213634083%651042
d4f1eb008eb80595bcfdac368e23ae9754e1e745uccsUCCSUnconstrained Face Detection and Open-Set Face Recognition Challenge[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)100%550041
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34v47V47Re-identification of pedestrians with variable occlusion and scale[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduKingston UniversityUnited Kingdom51.42930860-0.2684044056%954154
7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]Unknown100%550032
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]Unknown44%945063
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision50%844053
287ddcb3db5562235d83aee318f318b8d5e43fb1erceERCeLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduUniversity of Massachusetts DartmouthUnited States41.62772475-71.0072450180%541023
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)57%743135
9cc8cf0c7d7fa7607659921b6ff657e17e135eccmafaMAsked FAcesDetecting Masked Faces in the Wild with LLE-CNNs[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)80%541041
c72a2ea819df9b0e8cd267eebcc6528b8741e03dmegaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRR100%440040
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA MéditerranéeFrance43.615813107.0683800067%642015
22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)44%945018
54983972aafc8e149259d913524581357b0f91c3reseedReSEEDReSEED: social event dEtection dataset[pdf]Unknown67%642115
287ddcb3db5562235d83aee318f318b8d5e43fb1tisiTimes Square IntersectionLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
9e31e77f9543ab42474ba4e9330676e18c242e72imdb_faceIMDb FaceThe Devil of Face Recognition is in the Noise[pdf]UnknowneduNanyang Technological UniversitySingapore1.34841040103.6829796550%633041
a7fe834a0af614ce6b50dc093132b031dd9a856bmarket_1501Market 1501Orientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
578d4ad74818086bb64f182f72e2c8bd31e3d426mr2MR2The MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf]Behavior research methods43%734070
ad01687649d95cd5b56d7399a9603c4b8e2217d7mrp_droneMRP DroneInvestigating Open-World Person Re-identification Using a Drone[pdf]Unknown43%734152
a7fe834a0af614ce6b50dc093132b031dd9a856bpku_reidPKU-ReidOrientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
3531332efe19be21e7401ba1f04570a142617236ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRR75%431040
17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]Unknown100%220011
e58dd160a76349d46f881bd6ddbc2921f08d1050gfwGrouping Face in the WildMerge or Not? Learning to Group Faces via Imitation Learning[pdf]Unknown100%220020
4eab317b5ac436a949849ed286baa3de2a541eeflaofiwLAOFIWTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings[pdf]Unknown100%220020
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpku_reidPKU-ReidSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]Unknown50%422012
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b384613dddb_unconstrained3D DynamicA 3D Dynamic Database for Unconstrained Face Recognition[pdf]Unknown50%211011
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d434dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR25%413022
65355cbb581a219bd7461d48b3afd115263ea760complex_activitiesOngoing Complex ActivitiesRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf]2016 IEEE Winter Conference on Applications of Computer Vision (WACV)33%312030
55c40cbcf49a0225e72d911d762c27bb1c2d14aaifadIFADIndian Face Age Database: A Database for Face Recognition with Age Variation[pdf]Unknown50%211020
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding100%110010
2306b2a8fba28539306052764a77a0d0f5d1236aqmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRReduQueen Mary University of LondonUnited Kingdom51.52472720-0.03931035100%110010
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%110010
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDBWLFDB : Weakly Labeled Face Databases[pdf]Unknown100%110001
7b92d1e53cc87f7a4256695de590098a2f30261eappa_realAPPA-REALFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)100%000000
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
15e1af79939dbf90790b03d8aa02477783fb1d0fduke_mtmcDuke MTMCUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[pdf]2017 IEEE International Conference on Computer Vision (ICCV)100%000000
72a155c987816ae81c858fddbd6beab656d86220europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%202020
670637d0303a863c1548d5b19f705860a23e285cface_tracerFaceTracerFace swapping: automatically replacing faces in photographs[pdf]Unknown100%000000
12ad3b5bbbf407f8e54ea692c07633d1a867c566grazGraz PedestrianObject recognition using segmentation for feature detection[pdf]Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.eduInst. of Comput. Sci., Univ. of Leoben, AustriaAustria47.3847372015.09302010100%000000
bd88bb2e4f351352d88ee7375af834360e223498hda_plusHDA+HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf]Unknown0%202012
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25ibm_difIBM Diversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf]Unknown100%000000
066d71fcd997033dce4ca58df924397dfe0b5fd1ifdbIFDBIranian Face Database and Evaluation with a New Detection Algorithm[pdf]Unknown100%000000
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.94272826100%000000
140438a77a771a8fb656b39a78ff488066eb6b50lfpwLFPWLocalizing Parts of Faces Using a Consensus of Exemplars[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence100%000000
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop100%000000
2fda164863a06a92d3a910b96eef927269aeb730names_and_facesNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.100%000000
d3200d49a19a4a4e4e9745ee39649b65d80c834bscut_headSCUT HEADDetecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture[pdf]2018 24th International Conference on Pattern Recognition (ICPR)100%000000
8990cdce3f917dad622e43e033db686b354d057ctiny_facesTinyFaceLow-Resolution Face Recognition[pdf]CoRR100%000000
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_brusselsTUD-BrusselsMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_motionpairsTUD-MotionparisMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)100%000000
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]UnknowneduUniversity of KentuckyUnited States38.03337420-84.50177580100%000000
36bccfb2ad847096bc76777e544f305813cd8f5bwildtrackWildTrackWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition100%000000
\ No newline at end of file diff --git a/scraper/reports/report_index.html b/scraper/reports/report_index.html index 576f14b6..6c04165f 100644 --- a/scraper/reports/report_index.html +++ b/scraper/reports/report_index.html @@ -1 +1 @@ -All Papers

All Papers

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressCountryLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition65%3872511362129196
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.eduImperial College LondonUnited Kingdom51.49887085-0.1756079771%129923767455
044d9a8c61383312cdafbcc44b9d00d650b21c70fiw_300300-W300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf]2013 IEEE International Conference on Computer Vision Workshops79%3232556815208120
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e3dpes3DPeS3DPeS: 3D people dataset for surveillance and forensics[pdf]Unknown62%133825197358
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d434dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR25%413022
31b58ced31f22eab10bd3ee2d9174e7c14c27c01tiny_imagesTiny Images80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence57%99957442589644337
d08cc366a4a0192a01e9a7495af1eb5d9f9e73aeb3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective Communication[pdf]IEEE Transactions on Multimedia55%42231922615
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b384613dddb_unconstrained3D DynamicA 3D Dynamic Database for Unconstrained Face Recognition[pdf]Unknown50%211011
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance57%34319414923223114
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)54%58831627144306282
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2bsaivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf]2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)58%65382764520
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3d3dfacsD3DFACSA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf]2011 International Conference on Computer Vision52%50262453118
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision50%844053
221c18238b829c12b911706947ab38fd017acef7rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf]CoRR69%2618801610
013909077ad843eb6df7a3e8e290cfd5575999d2fiw_300300-WA Semi-automatic Methodology for Facial Landmark Annotation[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops80%18414836812067
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)66%95633265045
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence45%209110911
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)64%138894919541
b91f54e1581fbbf60392364323d00a0cd43e493cbp4d_spontanousBP4D-SpontanousA high-resolution spontaneous 3D dynamic facial expression database[pdf]2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduSUNY BinghamtonUnited States42.08779975-75.9706606652%154807468075
8b56e33f33e582f3e473dba573a16b598ed9bcdcfeiFEIA new ranking method for principal components analysis and its application to face image analysis[pdf]Image Vision Comput.55%1699376669102
2624d84503bc2f8e190e061c5480b6aa4d89277aafew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wild[pdf]Image Vision Comput.50%18990125
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence55%99955444594495491
57fe081950f21ca03b5b375ae3e84b399c015861cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection[pdf]Unknown51%47242312324
758d7e1be64cc668c59ef33ba8882c8597406e53affectnetAffectNetAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild[pdf]CoRR62%37231402511
47aeb3b82f54b5ae8142b4bdda7b614433e69b9aam_fedAM-FEDAffectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops46%83384564339
1be498d4bbc30c3bfd0029114c784bc2114d67c0adienceAdienceAge and Gender Estimation of Unfiltered Faces[pdf]IEEE Transactions on Information Forensics and SecurityeduOpen University of IsraelIsrael32.7782416534.9956567387%1791562319880
d818568838433a6d6831adde49a58cef05e0c89fagedbAgeDBAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduImperial College LondonUnited Kingdom51.49887085-0.1756079794%181710143
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduTU GrazAustria47.0707140015.4395040069%31821810027211107
2ce2560cf59db59ce313bbeb004e8ce55c5ce928texas_3dfrdTexas 3DFRDAnthropometric 3D Face Recognition[pdf]International Journal of Computer Vision63%91573456031
633c851ebf625ad7abdda2324e9de093cf623141appa_realAPPA-REALApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database[pdf]2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)70%1073083
0df0d1adea39a5bef318b74faa37de7f3e00b452mpii_gazeMPIIGazeAppearance-based gaze estimation in the wild[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)73%1491094039454
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer Vision64%91458532947586316
faf40ce28857aedf183e193486f5b4b0a8c478a2iit_dehli_earIIT Dehli EarAutomated Human Identification Using Ear Imaging[pdf]Unknown50%80404063544
2160788824c4c29ffe213b2cbeb3f52972d73f373d_rma3D-RMAAutomatic 3D face authentication[pdf]Image Vision Comput.54%100544686336
213a579af9e4f57f071b884aa872651372b661fdbbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf]International Journal of Computer Vision65%2617911611
fcc6fe6007c322641796cb8792718641856a22a7miwMIWAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
fcc6fe6007c322641796cb8792718641856a22a7youtube_makeupYMUAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
0a85bdff552615643dd74646ac881862a7c7072dpipaPIPABeyond frontal faces: Improving Person Recognition using multiple cues[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)companyFacebookUnited States37.39367170-122.0807262091%5449414112
2acf7e58f0a526b957be2099c10aab693f795973bosphorusThe BosphorusBosphorus Database for 3D Face Analysis[pdf]Unknown56%35219815417162188
37d6f0eb074d207b53885bd2eb78ccc8a04be597vmuVMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
37d6f0eb074d207b53885bd2eb78ccc8a04be597youtube_makeupYMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)69%1394184
2bf8541199728262f78d4dced6fb91479b39b738clothing_co_parsingCCPClothing Co-parsing by Joint Image Segmentation and Labeling[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition70%60421803428
22ad2c8c0f4d6aa4328b38d894b814ec22579761gallagherGallagherClothing cosegmentation for recognizing people[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.9427282665%17811662710086
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown65%2851851001319793
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown65%2851851001319793
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]Unknown57%89950839151431451
b1f4423c227fa37b9680787be38857069247a307afew_vaAFEW-VACollecting Large, Richly Annotated Facial-Expression Databases from Movies[pdf]IEEE MultiMediaeduAustralian National UniversityAustralia-35.27769990149.1185270064%1811156688797
7f4040b482d16354d5938c1d1b926b544652bf5bnova_emotionsNovaemötions DatasetCompetitive affective gaming: winning with a smile[pdf]UnknowneduUniversidade NOVA de Lisboa, Caparica, PortugalPortugal38.66096400-9.2058130078%972054
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop100%000000
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]Unknown55%99955344669540439
09d78009687bec46e70efcf39d4612822e61cb8craidRAiDConsistent Re-identification in a Camera Network[pdf]Unknown71%49351433413
0ceda9dae8b9f322df65ca2ef02caca9758aec6fcasablancaCasablancaContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
0ceda9dae8b9f322df65ca2ef02caca9758aec6fhollywood_headsetHollywoodHeadsContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding100%110010
8355d095d3534ef511a9af68a3b2893339e3f96bimdb_wikiIMDB-WikiDEX: Deep EXpectation of Apparent Age from a Single Image[pdf]2015 IEEE International Conference on Computer Vision Workshop (ICCVW)78%122952747548
5a5f0287484f0d480fed1ce585dbf729586f0edcdisfaDISFADISFA: A Spontaneous Facial Action Intensity Database[pdf]IEEE Transactions on Affective ComputingeduUniversity of DenverUnited States39.67665410-104.9622030054%18410084179689
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDB-WikiDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer VisioneduETH ZurichSwitzerland47.376313008.5476699072%1451054099351
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown65%99964635348558429
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong KongChina22.41626320114.2109318057%91952639261694201
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)64%17611264211362
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk_campus_03CUHK03 CampusDeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition73%56841215619320235
13f06b08f371ba8b5d31c3e288b4deb61335b462eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene Analysis[pdf]2007 IEEE 11th International Conference on Computer VisioneduETH ZurichSwitzerland47.376313008.5476699063%32420312126193127
4946ba10a4d5a7d0a38372f23e6622bd347ae273coco_actionCOCO-aDescribing Common Human Visual Actions in Images[pdf]Unknown68%251780232
7808937b46acad36e43c30ae4e9f3fd57462853dbpadBPADDescribing people: A poselet-based approach to attribute classification[pdf]2011 International Conference on Computer Vision61%230140901416366
d3200d49a19a4a4e4e9745ee39649b65d80c834bscut_headSCUT HEADDetecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture[pdf]2018 24th International Conference on Pattern Recognition (ICPR)100%000000
9cc8cf0c7d7fa7607659921b6ff657e17e135eccmafaMAsked FAcesDetecting Masked Faces in the Wild with LLE-CNNs[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)80%541041
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]Unknown44%945063
84fe5b4ac805af63206012d29523a1e033bc827eawe_earsAWE EarsEar Recognition: More Than a Survey[pdf]Neurocomputing77%2620601016
133f01aec1534604d184d56de866a4bd531dac87lfwLFWEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence60%183109741310377
c900e0ad4c95948baaf0acd8449fde26f9b4952aemotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)52%86454175429
2161f6b7ee3c0acc81603b01dc0df689683577b9large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person Search[pdf]CoRR70%46321402716
1bd1645a629f1b612960ab9bba276afd4cf7c666brainwashBrainwashEnd-to-End People Detection in Crowded Scenes[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduStanford UniversityUnited States37.43131385-122.1693653555%42231911919
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]UnknowneduUniversity of California, Santa CruzUnited States36.99158470-122.0582771066%62441421033342276
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing58%63236626444358264
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)36%14590121
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62coco_qaCOCO QAExploring Models and Data for Image Question Answering[pdf]Unknown61%206126801116239
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A benchmark for face detection in unconstrained settings[pdf]Unknown65%38024713316202164
31de9b3dd6106ce6eec9a35991b2b9083395fd0bferetFERETFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results[pdf]Unknown52%75393655420
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern Recognition71%99970929035576422
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduTel Aviv UniversityIsrael32.1119889034.8045970266%50933817023294216
670637d0303a863c1548d5b19f705860a23e285cface_tracerFaceTracerFace swapping: automatically replacing faces in photographs[pdf]Unknown100%000000
6204776d31359d129a582057c2d788a14f8aadebyoutube_celebritiesYouTube CelebritiesFace tracking and recognition with visual constraints in real-world videos[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduRutgers UniversityUnited States40.47913175-74.4316886857%26715111511125121
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]Unknown64%225144811714677
7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]Unknown100%550032
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25ibm_difIBM Diversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf]Unknown100%000000
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7deep_fashionDeepFashionFashion Landmark Detection in the Wild[pdf]Unknown73%2619711610
060820f110a72cbf02c14a6d1085bd6e1d994f6acaltech_crpCaltech CRPFine-grained classification of pedestrians in video: Benchmark and state of the art[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%1789098
45e616093a92e5f1e61a7c6037d5f637aa8964afmalfMALFFine-grained evaluation on face detection in the wild[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)71%171250125
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition67%1489949710543
7b92d1e53cc87f7a4256695de590098a2f30261eappa_realAPPA-REALFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)100%000000
774cbb45968607a027ae4729077734db000a1ec5urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf]Unknown67%181261126
22f656d0f8426c84a33a267977f511f127bfd7f3expwExpWFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf]International Journal of Computer Vision55%1165054
18c72175ddbb7d5956d180b65a96005c100f6014yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf]IEEE Trans. Pattern Anal. Mach. Intell.56%99956143866498462
06f02199690961ba52997cde1527e714d2b3bf8fcolumbia_gazeColumbia GazeGaze locking: passive eye contact detection for human-object interaction[pdf]UnknowneduColumbia UniversityUnited States40.84198360-73.9436897176%79601904934
18858cc936947fc96b5c06bbe3c6c2faa5614540pilot_parliamentPPBGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification[pdf]Unknown53%59312804710
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY BuffaloUnited States42.93362780-78.8839447955%31171401121
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduTU GrazAustria47.0707140015.4395040053%2931551381619597
17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]Unknown100%220011
bd88bb2e4f351352d88ee7375af834360e223498hda_plusHDA+HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf]Unknown0%202012
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315hi4d_adsipHi4D-ADSIPHi4D-ADSIP 3-D dynamic facial articulation database[pdf]Image Vision Comput.60%15961411
2d45cfd838016a6e39f6b766ffe85acd649440c7mcgillMcGill Real WorldHierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos[pdf]Computer Vision and Image Understanding75%862053
3cd40bfa1ff193a96bde0207e5140a399476466ctvhiTVHIHigh Five: Recognising human interactions in TV shows[pdf]Unknown57%985642106628
04c2cda00e5536f4b1508cbd80041e9552880e67hipsterwarsHipsterwarsHipster Wars: Discovering Elements of Fashion Styles[pdf]Unknown64%95613445935
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5inria_personINRIA PedestrianHistograms of oriented gradients for human detection[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduINRIA Rhone-Alps, Montbonnot, FranceFrance45.217886005.8073690057%99957242742419509
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6ucf_selfieUCF SelfieHow to Take a Good Selfie?[pdf]Unknown73%1183075
44d23df380af207f5ac5b41459c722c87283e1ebwider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical Contexts[pdf]Unknown72%181350144
44484d2866f222bbb9b6b0870890f9eea1ffb2d0cuhk_campus_03CUHK03 CampusHuman Reidentification with Transferred Metric Learning[pdf]Unknown69%280194869139137
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44pa_100kPA-100KHydraPlus-Net: Attentive Deep Features for Pedestrian Analysis[pdf]2017 IEEE International Conference on Computer Vision (ICCV)75%55411403617
57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)79%141130121
0cb2dd5f178e3a297a0c33068961018659d0f443ijb_bIJB-BIARPA Janus Benchmark-B Face Dataset[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduMichigan State UniversityUnited States42.71856800-84.4779157163%3522133258
0297448f3ed948e136bb06ceff10eccb34e5bb77ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf]Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology57%35201522114
7f23a4bb0c777dd72cca7665a5f370ac7980217eduke_mtmcDuke MTMCImproving Person Re-identification by Attribute and Identity Learning[pdf]CoRR84%87731404342
55c40cbcf49a0225e72d911d762c27bb1c2d14aaifadIFADIndian Face Age Database: A Database for Face Recognition with Age Variation[pdf]Unknown50%211020
ca3e88d87e1344d076c964ea89d91a75c417f5eeimfdbIMFDBIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf]2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)eduBVBCET, Hubli, IndiaIndia15.3688332075.1213796065%171160115
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]UnknowncompanyAdobeUnited States37.33077030-121.8940951085%352298548212146
ad01687649d95cd5b56d7399a9603c4b8e2217d7mrp_droneMRP DroneInvestigating Open-World Person Re-identification Using a Drone[pdf]Unknown43%734152
2f43b614607163abf41dfe5d17ef6749a1b61304hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf]IEEE Transactions on Information Forensics and SecurityeduUniversity of North Carolina at WilmingtonUnited States34.22498270-77.8690774477%13103068
066d71fcd997033dce4ca58df924397dfe0b5fd1ifdbIFDBIranian Face Database and Evaluation with a New Detection Algorithm[pdf]Unknown100%000000
b71d1aa90dcbe3638888725314c0d56640c1fef1ifdbIFDBIranian Face Database with age, pose and expression[pdf]2007 International Conference on Machine VisioneduIslamic Azad UniversityIran34.8452999048.5596212048%2311122149
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)57%743135
0b440695c822a8e35184fb2f60dcdaa8a6de84aekinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face Recognition[pdf]IEEE Transactions on Systems, Man, and Cybernetics: SystemseduUniversity of North Carolina at Chapel HillUnited States35.91139710-79.0504529061%82503262852
4793f11fbca4a7dba898b9fff68f70d868e2497ckin_faceUB KinFaceKinship Verification through Transfer Learning[pdf]Unknown58%71413022942
2d3482dcff69c7417c7b933f22de606a0e8e42d4lfwLFWLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf]UnknowneduUniversity of MassachusettsUnited States42.38897850-72.5286987069%123853837151
370b5757a5379b15e30d619e4d3fb9e8e13f3256lfwLFWLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf]Unknown63%99963236759598382
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22lfwLFWLabeled Faces in the Wild: A Survey[pdf]UnknowneduStevens Institute of TechnologyUnited States40.74225200-74.0270949064%109703976643
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge age-gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters71%752034
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)companySecurics Inc., Colorado Springs, COUnited States38.83388160-104.8213634083%651042
4af89578ac237278be310f7660a408b03f12d603geofacesGeoFacesLarge-scale geo-facial image analysis[pdf]EURASIP J. Image and Video Processing100%660042
a0fd85b3400c7b3e11122f44dc5870ae2de9009amaflMAFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
a0fd85b3400c7b3e11122f44dc5870ae2de9009amtflMTFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRReduChinese Academy of SciencesChina40.00447950116.3702380071%47633913719290182
2a171f8d14b6b8735001a11c217af9587d095848social_relationSocial RelationLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%231494167
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 2011eduUniversity of LeedsUnited Kingdom53.80387185-1.5524571270%16911851810865
287ddcb3db5562235d83aee318f318b8d5e43fb1erceERCeLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
287ddcb3db5562235d83aee318f318b8d5e43fb1tisiTimes Square IntersectionLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
5981e6479c3fd4e31644db35d236bfb84ae46514motMOTLearning to associate: HybridBoosted multi-target tracker for crowded scene[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of Southern CaliforniaUnited States34.02241490-118.2863440761%32620012522190137
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
28d4e027c7e90b51b7d8908fce68128d1964668amegafaceMegaFaceLevel Playing Field for Million Scale Face Recognition[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of WashingtonUnited States47.65432380-122.3080089472%3928112299
46a01565e6afe7c074affb752e7069ee3bf2e4efsdu_vidSDU-VIDLocal Descriptors Encoded by Fisher Vectors for Person Re-identification[pdf]Unknown67%197132651510888
140438a77a771a8fb656b39a78ff488066eb6b50lfpwLFPWLocalizing Parts of Faces Using a Consensus of Exemplars[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence100%000000
38b55d95189c5e69cf4ab45098a48fba407609b4cuhk_campus_03CUHK03 CampusLocally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition64%2581649415136117
8990cdce3f917dad622e43e033db686b354d057ctiny_facesTinyFaceLow-Resolution Face Recognition[pdf]CoRR100%000000
c0387e788a52f10bf35d4d50659cfa515d89fbecmarsMARSMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf]Unknown68%1681155349769
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
291265db88023e92bb8c8e6390438e5da148e8f5mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf]UnknowncompanyMicrosoftUnited States47.64233180-122.1369302078%18014139812059
3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]Unknown54%67363142928
e58dd160a76349d46f881bd6ddbc2921f08d1050gfwGrouping Face in the WildMerge or Not? Learning to Group Faces via Imitation Learning[pdf]Unknown100%220020
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725fpoq50 People One QuestionMerging Pose Estimates Across Space and Time[pdf]Unknown81%161330134
5e0f8c355a37a5a89351c02f174e7a5ddcb98683cocoCOCOMicrosoft COCO: Common Objects in Context[pdf]Unknown61%99960839125722259
41976ebc8ab76d9a6861487c97cc7fcbe3b6015fmoments_in_timeMoments in TimeMoments in Time Dataset: one million videos for event understanding[pdf]CoRReduColumbia UniversityUnited States40.84198360-73.9436897176%292272272
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_multiviewTUD-MultiviewMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281059%31118512634208105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281059%31118512634208105
3b5b6d19d4733ab606c39c69a889f9e67967f151qmul_gridGRIDMulti-camera activity correlation analysis[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103569%142984477764
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_brusselsTUD-BrusselsMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_motionpairsTUD-MotionparisMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
32c801cb7fbeb742edfd94cccfca4934baec71daucf_crowdUCF-CC-50Multi-source Multi-scale Counting in Extremely Dense Crowd Images[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition68%1481004858065
1e3df3ca8feab0b36fd293fe689f93bb2aaac591immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy Prediction[pdf]2015 IEEE International Conference on Computer Vision (ICCV)62%2616102216
2b926b3586399d028b46315d7d9fb9d879e4f79cfrav3dFRAV3DMultimodal 2D, 2.5D & 3D Face Verification[pdf]2006 International Conference on Image ProcessingeduUniversidad Rey Juan Carlos, SpainSpain40.33586610-3.8769432057%14860212
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)55%42231901726
2fda164863a06a92d3a910b96eef927269aeb730names_and_facesNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.100%000000
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf]Unknown50%22111131110
3394168ff0719b03ff65bcea35336a76b21fe5e4penn_fudanPenn FudanObject Detection Combining Recognition and Segmentation[pdf]Unknown61%105644195843
12ad3b5bbbf407f8e54ea692c07633d1a867c566grazGraz PedestrianObject recognition using segmentation for feature detection[pdf]Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.eduInst. of Comput. Sci., Univ. of Leoben, AustriaAustria47.3847372015.09302010100%000000
4f93cd09785c6e77bf4bc5a788e079df524c8d21sotonSOTON HiDOn a Large Sequence-Based Human Gait Database[pdf]Unknown63%15095551710351
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4cafadAFADOrdinal Regression with Multiple Output CNN for Age Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)54%78423684431
a7fe834a0af614ce6b50dc093132b031dd9a856bmarket_1501Market 1501Orientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
a7fe834a0af614ce6b50dc093132b031dd9a856bpku_reidPKU-ReidOrientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
18ae7c9a4bbc832b8b14bc4122070d7939f5e00efrgcFRGCOverview of the face recognition grand challenge[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduNISTUnited States39.14004000-77.2185060057%99956843085549442
22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)44%945018
56ffa7d906b08d02d6d5a12c7377a57e24ef3391unbc_shoulder_painUNBC-McMaster PainPainful data: The UNBC-McMaster shoulder pain expression archive database[pdf]Face and Gesture 2011eduCarnegie Mellon UniversityUnited States40.44416190-79.9427282654%189103862110878
55206f0b5f57ce17358999145506cd01e570358corlORLParameterisation of a stochastic model for human face identification[pdf]Unknown50%99950149894543427
0486214fb58ee9a04edfe7d6a74c6d0f661a7668chokepointChokePointPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf]CVPR 2011 WORKSHOPS60%138835567663
488e475eeb3bb39a145f23ede197cd3620f1d98aapisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
488e475eeb3bb39a145f23ede197cd3620f1d98asvsSVSPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
2a4bbee0b4cf52d5aadbbc662164f7efba89566cpetaPETAPedestrian Attribute Recognition At Far Distance[pdf]Unknown75%88662215036
f72f6a45ee240cc99296a287ff725aaa7e7ebb35caltech_pedestriansCaltech PedestriansPedestrian Detection: An Evaluation of the State of the Art[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748760%99959740270527466
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
27a2fad58dd8727e280f97036e0d2bc55ef5424cmotMOTPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8pridPRIDPerson Re-identification by Descriptive and Discriminative Classification[pdf]Unknown68%38626312323204180
98bb029afe2a1239c3fdab517323066f0957b81bilids_mcts_vidiLIDS-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
98bb029afe2a1239c3fdab517323066f0957b81bsdu_vidSDU-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
0b84f07af44f964817675ad961def8a51406dd2eprwPRWPerson Re-identification in the Wild[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)68%77522514727
a0cc5f73a37723a6dd465924143f1cb4976d0169msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-identification[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition92%242221204
1c2802c2199b6d15ecefe7ba0c39bfe44363de38youtube_posesYouTube PosePersonalizing Human Video Pose Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduOxford UniversityUnited Kingdom51.75208490-1.2516646064%3623132308
2830fb5282de23d7784b4b4bc37065d27839a412h3dH3DPoselets: Body part detectors trained using 3D human pose annotations[pdf]2009 IEEE 12th International Conference on Computer Vision58%71641530159492222
3765df816dc5a061bc261e190acc8bdd9d47bec0rafdRaFDPresentation and validation of the Radboud Faces Database[pdf]Unknown48%48723425339342144
636b8ffc09b1b23ff714ac8350bb35635e49fa3ccaltech_10k_web_facesCaltech 10K Web FacesPruning training sets for learning of object categories[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)70%63441944220
3531332efe19be21e7401ba1f04570a142617236ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRR75%431040
140c95e53c619eac594d70f6369f518adfea12efijb_aIJB-APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)66%237156811415976
c72a2ea819df9b0e8cd267eebcc6528b8741e03dmegaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRR100%440040
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34v47V47Re-identification of pedestrians with variable occlusion and scale[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduKingston UniversityUnited Kingdom51.42930860-0.2684044056%954154
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951wardWARDRe-identify people in wide area camera network[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduUniversity of UdineItaly46.0810723013.2119474060%60362413821
54983972aafc8e149259d913524581357b0f91c3reseedReSEEDReSEED: social event dEtection dataset[pdf]Unknown67%642115
65355cbb581a219bd7461d48b3afd115263ea760complex_activitiesOngoing Complex ActivitiesRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf]2016 IEEE Winter Conference on Applications of Computer Vision (WACV)33%312030
e8de844fefd54541b71c9823416daa238be65546visual_phrasesPhrasal RecognitionRecognition using visual phrases[pdf]CVPR 2011eduUniversity of Illinois, Urbana-ChampaignUnited States40.11116745-88.2258766558%2461431031717068
356b431d4f7a2a0a38cf971c84568207dcdbf189widerWIDERRecognize complex events from static images by fusing deep channels[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)70%44311312915
25474c21613607f6bb7687a281d5f9d4ffa1f9f3faceplaceFace PlaceRecognizing disguised faces[pdf]Unknown34%29101901810
4053e3423fb70ad9140ca89351df49675197196abio_idBioID FaceRobust Face Detection Using the Hausdorff Distance[pdf]Unknown57%51128922249329182
2724ba85ec4a66de18da33925e537f3902f21249cofwCOFWRobust Face Landmark Estimation under Occlusion[pdf]2013 IEEE International Conference on Computer VisioneduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748772%3252339212194133
c570d1247e337f91e555c3be0e8c8a5aba539d9fmcgillMcGill Real WorldRobust semi-automatic head pose labeling for real-world face video sequences[pdf]Multimedia Tools and ApplicationseduMcGill UniversityCanada45.50397610-73.5749687044%188100137
e27ef52c641c2b5100a1b34fd0b819e84a31b4dfsarc3dSarc3DSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf]Unknown74%3425922112
bd26dabab576adb6af30484183c9c9c8379bf2e0scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf]2015 IEEE International Conference on Systems, Man, and Cybernetics47%199102613
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3dscfaceSCfaceSCface – surveillance cameras face database[pdf]Multimedia Tools and Applications56%17910178158889
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%110010
833fa04463d90aab4a9fe2870d480f0b40df446esun_attributesSUNSUN attribute database: Discovering, annotating, and recognizing scene attributes[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduBrown UniversityUnited States41.82686820-71.4012314660%2641591052720656
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)companyMicrosoftUnited States47.64233180-122.1369302077%4603551059263185
9c23859ec7313f2e756a3e85575735e0c52249f4facebook_100Facebook100Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
9c23859ec7313f2e756a3e85575735e0c52249f4pubfig_83pubfig83Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
51eba481dac6b229a7490f650dff7b17ce05df73imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)65%5234181466
570f37ed63142312e6ccdf00ecc376341ec72b9fstanford_droneStanford DroneSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)56%22412599314081
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA MéditerranéeFrance43.615813107.0683800067%642015
1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)86%761152
9361b784e73e9238d5cefbea5ac40d35d1e3103foxford_town_centreTownCentreStable multi-target tracking in real-time surveillance video[pdf]CVPR 2011eduUniversity of OxfordUnited Kingdom51.75345380-1.2540099767%32822110713186140
2306b2a8fba28539306052764a77a0d0f5d1236aqmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRReduQueen Mary University of LondonUnited Kingdom51.52472720-0.03931035100%110010
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpku_reidPKU-ReidSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]Unknown50%422012
4d58f886f5150b2d5e48fd1b5a49e09799bf895dtexas_3dfrdTexas 3DFRDTexas 3D Face Recognition Database[pdf]2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)61%66402634027
6d96f946aaabc734af7fe3fc4454cf8547fcd5edar_facedbAR FaceThe AR face database[pdf]Unknown58%99957942058458530
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans59%42925417538198234
47662d1a368daf70ba70ef2d59eb6209f98b675dfiaCMU FiAThe CMU Face In Action (FIA) Database[pdf]Unknown48%54262854016
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
4d423acc78273b75134e2afd1777ba6d3a398973multi_pieMULTIPIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
4df3143922bcdf7db78eb91e6b5359d6ada004d2cfdCFDThe Chicago face database: A free stimulus set of faces and norming data.[pdf]Behavior research methods60%99594017321
20388099cc415c772926e47bcbbe554e133343d1cafe#N/AThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf]54%3720173307
4e6ee936eb50dd032f7138702fa39b7c18ee8907dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf]52%2111102183
9e31e77f9543ab42474ba4e9330676e18c242e72imdb_faceIMDb FaceThe Devil of Face Recognition is in the Noise[pdf]UnknowneduNanyang Technological UniversitySingapore1.34841040103.6829796550%633041
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6umd_facesUMDThe Do’s and Don’ts for CNN-Based Face Verification[pdf]2017 IEEE International Conference on Computer Vision Workshops (ICCVW)62%2616102168
72a155c987816ae81c858fddbd6beab656d86220europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%202020
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - WorkshopseduUniversity of PittsburghUnited States40.44415295-79.9624399361%99960739257470518
0f0fcf041559703998abf310e56f8a2f90ee6f21feretFERETThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf]Unknown34%2910193189
0c4a139bb87c6743c7905b29a3cfec27a5130652feretFERETThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf]UnknowneduCity University of New YorkUnited States40.87228250-73.8948917151%115595687537
dc8b25e35a3acb812beb499844734081722319b4feretFERETThe FERET database and evaluation procedure for face-recognition algorithms[pdf]Image Vision Comput.52%999521478103591421
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]Unknown50%16881106
8be57cdad86fdf8c8290df4ca3149592f3c46dd3m2vtsm2vtsThe M2VTS Multimodal Face Database (Release 1.00)[pdf]Unknown45%73334023933
ea050801199f98a1c7c1df6769f23f658299a3aempi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
ea050801199f98a1c7c1df6769f23f658299a3aempi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
578d4ad74818086bb64f182f72e2c8bd31e3d426mr2MR2The MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf]Behavior research methods43%734070
f1af714b92372c8e606485a3982eab2f16772ad8mug_facesMUG FacesThe MUG facial expression database[pdf]11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10eduAristotle University of ThessalonikiGreece40.6298414522.9588935055%82453743447
79828e6e9f137a583082b8b5a9dfce0c301989b8mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf]2017 IEEE International Conference on Computer Vision (ICCV)61%61372404316
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)76%13910633510037
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38avocVOCThe Pascal Visual Object Classes (VOC) Challenge[pdf]International Journal of Computer VisioncompanyMicrosoftUnited States47.64233180-122.1369302061%99960739128557422
66e6f08873325d37e0ec20a4769ce881e04e964esun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf]International Journal of Computer Vision60%1167046148431
8b2dd5c61b23ead5ae5508bb8ce808b5ea26673010k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face photographs.[pdf]Journal of experimental psychology. General56%52292323614
d178cde92ab3dc0dd2ebee5a76a33d556c39448bjiku_mobileJiku Mobile Video DatasetThe jiku mobile video dataset[pdf]UnknowneduNational University of SingaporeSingapore1.29620180103.7768994471%241770619
ae0aee03d946efffdc7af2362a42d3750e7dd48aput_facePut FaceThe put face database[pdf]Unknown55%99544555548
19d1b811df60f86cbd5e04a094b07f32fff7a32ayork_3dUOY 3D Face DatabaseThree-dimensional face recognition: an eigensurface approach[pdf]2004 International Conference on Image Processing, 2004. ICIP '04.42%38162242413
2edb87494278ad11641b6cf7a3f8996de12b8e14qmul_gridGRIDTime-Delayed Correlation Analysis for Multi-Camera Activity Understanding[pdf]International Journal of Computer VisioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103563%84533145133
64e0690dd176a93de9d4328f6e31fc4afe1e7536duke_mtmcDuke MTMCTracking Multiple People Online and in Real Time[pdf]Unknown78%2318511210
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0ferplusFER+Training deep networks for facial expression recognition with crowd-sourced label distribution[pdf]Unknown74%3425901816
4eab317b5ac436a949849ed286baa3de2a541eeflaofiwLAOFIWTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings[pdf]Unknown100%220020
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRR64%99964335656628362
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52umbUMBUMB-DB: A database of partially occluded 3D faces[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)66%47311622224
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)eduUniversity of MarylandUnited States39.28996850-76.6219610379%4233923011
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]UnknowneduUniversity of TrentoItaly46.0658836011.1159894086%761034
d4f1eb008eb80595bcfdac368e23ae9754e1e745uccsUCCSUnconstrained Face Detection and Open-Set Face Recognition Challenge[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)100%550041
4b4106614c1d553365bad75d7866bff0de6056edufiUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]Unknown50%1266046
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7kin_faceUB KinFaceUnderstanding Kin Relationships in a Photo[pdf]IEEE Transactions on Multimedia63%94593513361
5a4df9bef1872865f0b619ac3aacc97f49e4a035cuhk_train_stationCUHK Train Station DatasetUnderstanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduChinese University of Hong KongChina22.41626320114.2109318058%141825956075
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.94272826100%000000
15e1af79939dbf90790b03d8aa02477783fb1d0fduke_mtmcDuke MTMCUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[pdf]2017 IEEE International Conference on Computer Vision (ICCV)100%000000
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and SystemseduUniversity of Notre DameUnited States41.70456775-86.2382202663%35221331815
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduUniversity of DelawareUnited States39.68103280-75.7540184067%151050510
70c59dc3470ae867016f6ab0e008ac8ba03774a1vgg_faces2VGG Face2VGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf]2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)80%83661736120
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)100%000000
b6c293f0420f7e945b5916ae44269fb53e139275erceERCeVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
b6c293f0420f7e945b5916ae44269fb53e139275tisiTimes Square IntersectionVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
5194cbd51f9769ab25260446b4fa17204752e799violent_flowsViolent FlowsViolent flows: Real-time detection of violent crowd behavior[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduOpen University of IsraelIsrael32.7782416534.9956567365%88573164544
026e3363b7f76b51cc711886597a44d5f1fd1de2kittiKITTIVision meets robotics: The KITTI dataset[pdf]I. J. Robotics Res.60%99960239736553462
066000d44d6691d27202896691f08b27117918b9psuPSUVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence54%1689078108579
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduUniversity of Massachusetts DartmouthUnited States41.62772475-71.0072450180%541023
8875ae233bc074f5cd6c4ebba447b536a7e847a5voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker Recognition.[pdf]Unknown41%3414192172
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong KongChina22.41626320114.2109318066%178118601111266
36bccfb2ad847096bc76777e544f305813cd8f5bwildtrackWildTrackWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition100%000000
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDBWLFDB : Weakly Labeled Face Databases[pdf]Unknown100%110001
0dc11a37cadda92886c56a6fb5191ded62099c28stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple Persons[pdf]Unknown65%78512755423
0c91808994a250d7be332400a534a9291ca3b60egrazGraz PedestrianWeak Hypotheses and Boosting for Generic Object Detection and Recognition[pdf]Unknown56%2361311051716177
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo54%46425021445282188
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]UnknowneduUniversity of KentuckyUnited States38.03337420-84.50177580100%000000
b62628ac06bbac998a3ab825324a41a11bc3a988m2vtsdb_extendedxm2vtsdbXM2VTSDB : The extended M2VTS database[pdf]Unknown62%86453932537493404
010f0f4929e6a6644fb01f0e43820f91d0fad292yfcc_100mYFCC100MYFCC100M: the new data in multimedia research[pdf]Commun. ACMeduCarnegie Mellon UniversityUnited States40.44416190-79.9427282664%2741769823172100
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]Unknown80%151231213
\ No newline at end of file +All Papers

All Papers

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressCountryLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition66%3872541331929196
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.eduImperial College LondonUnited Kingdom51.49887085-0.1756079771%129923767455
044d9a8c61383312cdafbcc44b9d00d650b21c70fiw_300300-W300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf]2013 IEEE International Conference on Computer Vision Workshops79%3232556815208120
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e3dpes3DPeS3DPeS: 3D people dataset for surveillance and forensics[pdf]Unknown62%133825197358
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d434dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR25%413022
31b58ced31f22eab10bd3ee2d9174e7c14c27c01tiny_imagesTiny Images80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence57%99957442589644337
d08cc366a4a0192a01e9a7495af1eb5d9f9e73aeb3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective Communication[pdf]IEEE Transactions on Multimedia55%42231922615
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b384613dddb_unconstrained3D DynamicA 3D Dynamic Database for Unconstrained Face Recognition[pdf]Unknown50%211011
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance57%34319414923223114
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)54%58831627144306282
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2bsaivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf]2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)58%65382764520
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3d3dfacsD3DFACSA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf]2011 International Conference on Computer Vision52%50262453118
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision50%844053
221c18238b829c12b911706947ab38fd017acef7rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf]CoRR69%2618801610
013909077ad843eb6df7a3e8e290cfd5575999d2fiw_300300-WA Semi-automatic Methodology for Facial Landmark Annotation[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops80%18414836812067
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)66%95633265045
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence45%209110911
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)64%138894919541
b91f54e1581fbbf60392364323d00a0cd43e493cbp4d_spontanousBP4D-SpontanousA high-resolution spontaneous 3D dynamic facial expression database[pdf]2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduSUNY BinghamtonUnited States42.08779975-75.9706606652%154807468075
8b56e33f33e582f3e473dba573a16b598ed9bcdcfeiFEIA new ranking method for principal components analysis and its application to face image analysis[pdf]Image Vision Comput.55%1699376669102
2624d84503bc2f8e190e061c5480b6aa4d89277aafew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wild[pdf]Image Vision Comput.50%18990125
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence55%99955444594495491
57fe081950f21ca03b5b375ae3e84b399c015861cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection[pdf]Unknown51%47242312324
758d7e1be64cc668c59ef33ba8882c8597406e53affectnetAffectNetAffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild[pdf]CoRR62%37231402511
47aeb3b82f54b5ae8142b4bdda7b614433e69b9aam_fedAM-FEDAffectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops46%83384564339
1be498d4bbc30c3bfd0029114c784bc2114d67c0adienceAdienceAge and Gender Estimation of Unfiltered Faces[pdf]IEEE Transactions on Information Forensics and SecurityeduOpen University of IsraelIsrael32.7782416534.9956567387%1791562319880
d818568838433a6d6831adde49a58cef05e0c89fagedbAgeDBAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduImperial College LondonUnited Kingdom51.49887085-0.1756079794%181710143
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduTU GrazAustria47.0707140015.4395040069%31821810027211107
2ce2560cf59db59ce313bbeb004e8ce55c5ce928texas_3dfrdTexas 3DFRDAnthropometric 3D Face Recognition[pdf]International Journal of Computer Vision63%91573456031
633c851ebf625ad7abdda2324e9de093cf623141appa_realAPPA-REALApparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database[pdf]2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)70%1073083
0df0d1adea39a5bef318b74faa37de7f3e00b452mpii_gazeMPIIGazeAppearance-based gaze estimation in the wild[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)73%1491094039454
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer Vision64%91458532947586316
faf40ce28857aedf183e193486f5b4b0a8c478a2iit_dehli_earIIT Dehli EarAutomated Human Identification Using Ear Imaging[pdf]Unknown50%80404063544
2160788824c4c29ffe213b2cbeb3f52972d73f373d_rma3D-RMAAutomatic 3D face authentication[pdf]Image Vision Comput.54%100544686336
213a579af9e4f57f071b884aa872651372b661fdbbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf]International Journal of Computer Vision65%2617911611
fcc6fe6007c322641796cb8792718641856a22a7miwMIWAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
fcc6fe6007c322641796cb8792718641856a22a7youtube_makeupYMUAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia UniversityUnited States39.65404635-79.9647535571%49351411929
0a85bdff552615643dd74646ac881862a7c7072dpipaPIPABeyond frontal faces: Improving Person Recognition using multiple cues[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)companyFacebookUnited States37.39367170-122.0807262091%5449414112
2acf7e58f0a526b957be2099c10aab693f795973bosphorusThe BosphorusBosphorus Database for 3D Face Analysis[pdf]Unknown56%35219815417162188
37d6f0eb074d207b53885bd2eb78ccc8a04be597vmuVMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
37d6f0eb074d207b53885bd2eb78ccc8a04be597youtube_makeupYMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduWest Virginia UniversityUnited States39.65404635-79.9647535562%53332001931
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)69%1394184
2bf8541199728262f78d4dced6fb91479b39b738clothing_co_parsingCCPClothing Co-parsing by Joint Image Segmentation and Labeling[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition70%60421803428
22ad2c8c0f4d6aa4328b38d894b814ec22579761gallagherGallagherClothing cosegmentation for recognizing people[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.9427282665%17811662710086
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown66%285188971119793
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]Unknown66%285188971119793
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]Unknown57%89950839151431451
b1f4423c227fa37b9680787be38857069247a307afew_vaAFEW-VACollecting Large, Richly Annotated Facial-Expression Databases from Movies[pdf]IEEE MultiMediaeduAustralian National UniversityAustralia-35.27769990149.1185270064%1811156688797
7f4040b482d16354d5938c1d1b926b544652bf5bnova_emotionsNovaemötions DatasetCompetitive affective gaming: winning with a smile[pdf]UnknowneduUniversidade NOVA de Lisboa, Caparica, PortugalPortugal38.66096400-9.2058130078%972054
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop100%000000
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]Unknown55%99955344669540439
09d78009687bec46e70efcf39d4612822e61cb8craidRAiDConsistent Re-identification in a Camera Network[pdf]Unknown71%49351433413
0ceda9dae8b9f322df65ca2ef02caca9758aec6fcasablancaCasablancaContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
0ceda9dae8b9f322df65ca2ef02caca9758aec6fhollywood_headsetHollywoodHeadsContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%33201312311
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding100%110010
8355d095d3534ef511a9af68a3b2893339e3f96bimdb_wikiIMDB-WikiDEX: Deep EXpectation of Apparent Age from a Single Image[pdf]2015 IEEE International Conference on Computer Vision Workshop (ICCVW)79%122962647548
5a5f0287484f0d480fed1ce585dbf729586f0edcdisfaDISFADISFA: A Spontaneous Facial Action Intensity Database[pdf]IEEE Transactions on Affective ComputingeduUniversity of DenverUnited States39.67665410-104.9622030054%18410084179689
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDB-WikiDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer VisioneduETH ZurichSwitzerland47.376313008.5476699072%1451054099351
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown65%99964635348558429
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong KongChina22.41626320114.2109318057%91952639261694201
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)64%17611264211362
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk_campus_03CUHK03 CampusDeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition73%56841215619320235
13f06b08f371ba8b5d31c3e288b4deb61335b462eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene Analysis[pdf]2007 IEEE 11th International Conference on Computer VisioneduETH ZurichSwitzerland47.376313008.5476699063%32420312126193127
4946ba10a4d5a7d0a38372f23e6622bd347ae273coco_actionCOCO-aDescribing Common Human Visual Actions in Images[pdf]Unknown68%251780232
7808937b46acad36e43c30ae4e9f3fd57462853dbpadBPADDescribing people: A poselet-based approach to attribute classification[pdf]2011 International Conference on Computer Vision61%230140901416366
d3200d49a19a4a4e4e9745ee39649b65d80c834bscut_headSCUT HEADDetecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture[pdf]2018 24th International Conference on Pattern Recognition (ICPR)100%000000
9cc8cf0c7d7fa7607659921b6ff657e17e135eccmafaMAsked FAcesDetecting Masked Faces in the Wild with LLE-CNNs[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)80%541041
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]Unknown44%945063
84fe5b4ac805af63206012d29523a1e033bc827eawe_earsAWE EarsEar Recognition: More Than a Survey[pdf]Neurocomputing77%2620601016
133f01aec1534604d184d56de866a4bd531dac87lfwLFWEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence60%183109741310377
c900e0ad4c95948baaf0acd8449fde26f9b4952aemotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)52%86454175429
2161f6b7ee3c0acc81603b01dc0df689683577b9large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person Search[pdf]CoRR70%46321402716
1bd1645a629f1b612960ab9bba276afd4cf7c666brainwashBrainwashEnd-to-End People Detection in Crowded Scenes[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduStanford UniversityUnited States37.43131385-122.1693653561%67412534223
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]UnknowneduUniversity of California, Santa CruzUnited States36.99158470-122.0582771066%62441421033342276
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing58%63236626444358264
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)36%14590121
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62coco_qaCOCO QAExploring Models and Data for Image Question Answering[pdf]Unknown61%206126801116239
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
2cd7821fcf5fae53a185624f7eeda007434ae037geofacesGeoFacesExploring the geo-dependence of human face appearance[pdf]IEEE Winter Conference on Applications of Computer Vision88%871053
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A benchmark for face detection in unconstrained settings[pdf]Unknown65%38024713316202164
31de9b3dd6106ce6eec9a35991b2b9083395fd0bferetFERETFERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results[pdf]Unknown52%75393655420
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern Recognition71%99970929035576422
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduTel Aviv UniversityIsrael32.1119889034.8045970266%50933817023294216
670637d0303a863c1548d5b19f705860a23e285cface_tracerFaceTracerFace swapping: automatically replacing faces in photographs[pdf]Unknown100%000000
6204776d31359d129a582057c2d788a14f8aadebyoutube_celebritiesYouTube CelebritiesFace tracking and recognition with visual constraints in real-world videos[pdf]2008 IEEE Conference on Computer Vision and Pattern RecognitioneduRutgers UniversityUnited States40.47913175-74.4316886857%26715111511125121
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]Unknown64%225144811714677
7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]Unknown100%550032
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25ibm_difIBM Diversity in FacesFacial Coding Scheme Reference 1 Craniofacial Distances[pdf]Unknown100%000000
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]Unknown70%40728312416252153
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7deep_fashionDeepFashionFashion Landmark Detection in the Wild[pdf]Unknown73%2619711610
060820f110a72cbf02c14a6d1085bd6e1d994f6acaltech_crpCaltech CRPFine-grained classification of pedestrians in video: Benchmark and state of the art[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%1789098
45e616093a92e5f1e61a7c6037d5f637aa8964afmalfMALFFine-grained evaluation on face detection in the wild[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)71%171250125
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition67%1489949710543
7b92d1e53cc87f7a4256695de590098a2f30261eappa_realAPPA-REALFrom Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)100%000000
774cbb45968607a027ae4729077734db000a1ec5urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf]Unknown67%181261126
22f656d0f8426c84a33a267977f511f127bfd7f3expwExpWFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf]International Journal of Computer Vision55%1165054
18c72175ddbb7d5956d180b65a96005c100f6014yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf]IEEE Trans. Pattern Anal. Mach. Intell.56%99956143866498462
06f02199690961ba52997cde1527e714d2b3bf8fcolumbia_gazeColumbia GazeGaze locking: passive eye contact detection for human-object interaction[pdf]UnknowneduColumbia UniversityUnited States40.84198360-73.9436897176%79601904934
18858cc936947fc96b5c06bbe3c6c2faa5614540pilot_parliamentPPBGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification[pdf]Unknown53%59312804710
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY BuffaloUnited States42.93362780-78.8839447955%31171401121
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduTU GrazAustria47.0707140015.4395040053%2931551381619597
17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]Unknown100%220011
bd88bb2e4f351352d88ee7375af834360e223498hda_plusHDA+HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance[pdf]Unknown0%202012
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315hi4d_adsipHi4D-ADSIPHi4D-ADSIP 3-D dynamic facial articulation database[pdf]Image Vision Comput.60%15961411
2d45cfd838016a6e39f6b766ffe85acd649440c7mcgillMcGill Real WorldHierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos[pdf]Computer Vision and Image Understanding75%862053
3cd40bfa1ff193a96bde0207e5140a399476466ctvhiTVHIHigh Five: Recognising human interactions in TV shows[pdf]Unknown57%985642106628
04c2cda00e5536f4b1508cbd80041e9552880e67hipsterwarsHipsterwarsHipster Wars: Discovering Elements of Fashion Styles[pdf]Unknown64%95613445935
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5inria_personINRIA PedestrianHistograms of oriented gradients for human detection[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduINRIA Rhone-Alps, Montbonnot, FranceFrance45.217886005.8073690057%99957342641419509
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6ucf_selfieUCF SelfieHow to Take a Good Selfie?[pdf]Unknown73%1183075
44d23df380af207f5ac5b41459c722c87283e1ebwider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical Contexts[pdf]Unknown72%181350144
44484d2866f222bbb9b6b0870890f9eea1ffb2d0cuhk_campus_03CUHK03 CampusHuman Reidentification with Transferred Metric Learning[pdf]Unknown69%280194869139137
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44pa_100kPA-100KHydraPlus-Net: Attentive Deep Features for Pedestrian Analysis[pdf]2017 IEEE International Conference on Computer Vision (ICCV)75%55411403617
57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)79%141130121
0cb2dd5f178e3a297a0c33068961018659d0f443ijb_bIJB-BIARPA Janus Benchmark-B Face Dataset[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)eduMichigan State UniversityUnited States42.71856800-84.4779157163%3522133258
0297448f3ed948e136bb06ceff10eccb34e5bb77ilids_mctsi-LIDS Multiple-CameraImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf]Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology57%35201522114
7f23a4bb0c777dd72cca7665a5f370ac7980217eduke_mtmcDuke MTMCImproving Person Re-identification by Attribute and Identity Learning[pdf]CoRR84%87731404342
55c40cbcf49a0225e72d911d762c27bb1c2d14aaifadIFADIndian Face Age Database: A Database for Face Recognition with Age Variation[pdf]Unknown50%211020
ca3e88d87e1344d076c964ea89d91a75c417f5eeimfdbIMFDBIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf]2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)eduBVBCET, Hubli, IndiaIndia15.3688332075.1213796065%171160115
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]UnknowncompanyAdobeUnited States37.33077030-121.8940951085%352298548212146
ad01687649d95cd5b56d7399a9603c4b8e2217d7mrp_droneMRP DroneInvestigating Open-World Person Re-identification Using a Drone[pdf]Unknown43%734152
2f43b614607163abf41dfe5d17ef6749a1b61304hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf]IEEE Transactions on Information Forensics and SecurityeduUniversity of North Carolina at WilmingtonUnited States34.22498270-77.8690774477%13103068
066d71fcd997033dce4ca58df924397dfe0b5fd1ifdbIFDBIranian Face Database and Evaluation with a New Detection Algorithm[pdf]Unknown100%000000
b71d1aa90dcbe3638888725314c0d56640c1fef1ifdbIFDBIranian Face Database with age, pose and expression[pdf]2007 International Conference on Machine VisioneduIslamic Azad UniversityIran34.8452999048.5596212048%2311122149
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)57%743135
0b440695c822a8e35184fb2f60dcdaa8a6de84aekinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face Recognition[pdf]IEEE Transactions on Systems, Man, and Cybernetics: SystemseduUniversity of North Carolina at Chapel HillUnited States35.91139710-79.0504529061%82503262852
4793f11fbca4a7dba898b9fff68f70d868e2497ckin_faceUB KinFaceKinship Verification through Transfer Learning[pdf]Unknown58%71413022942
2d3482dcff69c7417c7b933f22de606a0e8e42d4lfwLFWLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf]UnknowneduUniversity of MassachusettsUnited States42.38897850-72.5286987069%123853837151
370b5757a5379b15e30d619e4d3fb9e8e13f3256lfwLFWLabeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[pdf]Unknown63%99963236759598382
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22lfwLFWLabeled Faces in the Wild: A Survey[pdf]UnknowneduStevens Institute of TechnologyUnited States40.74225200-74.0270949064%109703976643
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge age-gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters71%752034
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)companySecurics Inc., Colorado Springs, COUnited States38.83388160-104.8213634083%651042
4af89578ac237278be310f7660a408b03f12d603geofacesGeoFacesLarge-scale geo-facial image analysis[pdf]EURASIP J. Image and Video Processing100%660042
a0fd85b3400c7b3e11122f44dc5870ae2de9009amaflMAFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
a0fd85b3400c7b3e11122f44dc5870ae2de9009amtflMTFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence71%108773176644
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRReduChinese Academy of SciencesChina40.00447950116.3702380071%47633913719290182
2a171f8d14b6b8735001a11c217af9587d095848social_relationSocial RelationLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)61%231494167
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 2011eduUniversity of LeedsUnited Kingdom53.80387185-1.5524571271%16912049710865
287ddcb3db5562235d83aee318f318b8d5e43fb1erceERCeLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
287ddcb3db5562235d83aee318f318b8d5e43fb1tisiTimes Square IntersectionLearning from Multiple Sources for Video Summarisation[pdf]International Journal of Computer Vision57%743043
5981e6479c3fd4e31644db35d236bfb84ae46514motMOTLearning to associate: HybridBoosted multi-target tracker for crowded scene[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of Southern CaliforniaUnited States34.02241490-118.2863440761%32620012522190137
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]Unknown62%36922714132237131
28d4e027c7e90b51b7d8908fce68128d1964668amegafaceMegaFaceLevel Playing Field for Million Scale Face Recognition[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of WashingtonUnited States47.65432380-122.3080089472%3928112299
46a01565e6afe7c074affb752e7069ee3bf2e4efsdu_vidSDU-VIDLocal Descriptors Encoded by Fisher Vectors for Person Re-identification[pdf]Unknown67%197132651510888
140438a77a771a8fb656b39a78ff488066eb6b50lfpwLFPWLocalizing Parts of Faces Using a Consensus of Exemplars[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence100%000000
38b55d95189c5e69cf4ab45098a48fba407609b4cuhk_campus_03CUHK03 CampusLocally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition64%2581649415136117
8990cdce3f917dad622e43e033db686b354d057ctiny_facesTinyFaceLow-Resolution Face Recognition[pdf]CoRR100%000000
c0387e788a52f10bf35d4d50659cfa515d89fbecmarsMARSMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf]Unknown68%1681155349769
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduNorth Carolina UniversityUnited States34.22398690-77.8701325059%43725817822228203
291265db88023e92bb8c8e6390438e5da148e8f5mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf]UnknowncompanyMicrosoftUnited States47.64233180-122.1369302078%18014139812059
3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]Unknown54%67363142928
e58dd160a76349d46f881bd6ddbc2921f08d1050gfwGrouping Face in the WildMerge or Not? Learning to Group Faces via Imitation Learning[pdf]Unknown100%220020
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725fpoq50 People One QuestionMerging Pose Estimates Across Space and Time[pdf]Unknown81%161330134
5e0f8c355a37a5a89351c02f174e7a5ddcb98683cocoCOCOMicrosoft COCO: Common Objects in Context[pdf]Unknown61%99960839125722259
41976ebc8ab76d9a6861487c97cc7fcbe3b6015fmoments_in_timeMoments in TimeMoments in Time Dataset: one million videos for event understanding[pdf]CoRReduColumbia UniversityUnited States40.84198360-73.9436897176%292272272
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_multiviewTUD-MultiviewMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281060%31118612533208105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern RecognitioneduTU DarmstadtGermany49.874827708.6563281060%31118612533208105
3b5b6d19d4733ab606c39c69a889f9e67967f151qmul_gridGRIDMulti-camera activity correlation analysis[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103569%142984477764
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_brusselsTUD-BrusselsMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_motionpairsTUD-MotionparisMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
32c801cb7fbeb742edfd94cccfca4934baec71daucf_crowdUCF-CC-50Multi-source Multi-scale Counting in Extremely Dense Crowd Images[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition76%1481133538065
1e3df3ca8feab0b36fd293fe689f93bb2aaac591immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy Prediction[pdf]2015 IEEE International Conference on Computer Vision (ICCV)62%2616102216
2b926b3586399d028b46315d7d9fb9d879e4f79cfrav3dFRAV3DMultimodal 2D, 2.5D & 3D Face Verification[pdf]2006 International Conference on Image ProcessingeduUniversidad Rey Juan Carlos, SpainSpain40.33586610-3.8769432057%14860212
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)55%42231901726
2fda164863a06a92d3a910b96eef927269aeb730names_and_facesNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.100%000000
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf]Unknown50%22111131110
3394168ff0719b03ff65bcea35336a76b21fe5e4penn_fudanPenn FudanObject Detection Combining Recognition and Segmentation[pdf]Unknown61%105644195843
12ad3b5bbbf407f8e54ea692c07633d1a867c566grazGraz PedestrianObject recognition using segmentation for feature detection[pdf]Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.eduInst. of Comput. Sci., Univ. of Leoben, AustriaAustria47.3847372015.09302010100%000000
4f93cd09785c6e77bf4bc5a788e079df524c8d21sotonSOTON HiDOn a Large Sequence-Based Human Gait Database[pdf]Unknown63%15095551710351
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4cafadAFADOrdinal Regression with Multiple Output CNN for Age Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)55%78433584431
a7fe834a0af614ce6b50dc093132b031dd9a856bmarket_1501Market 1501Orientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
a7fe834a0af614ce6b50dc093132b031dd9a856bpku_reidPKU-ReidOrientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR43%734044
18ae7c9a4bbc832b8b14bc4122070d7939f5e00efrgcFRGCOverview of the face recognition grand challenge[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)eduNISTUnited States39.14004000-77.2185060057%99956843085549442
22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)44%945018
56ffa7d906b08d02d6d5a12c7377a57e24ef3391unbc_shoulder_painUNBC-McMaster PainPainful data: The UNBC-McMaster shoulder pain expression archive database[pdf]Face and Gesture 2011eduCarnegie Mellon UniversityUnited States40.44416190-79.9427282654%189103862110878
55206f0b5f57ce17358999145506cd01e570358corlORLParameterisation of a stochastic model for human face identification[pdf]Unknown50%99950149894543427
0486214fb58ee9a04edfe7d6a74c6d0f661a7668chokepointChokePointPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf]CVPR 2011 WORKSHOPS60%138835567663
488e475eeb3bb39a145f23ede197cd3620f1d98aapisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
488e475eeb3bb39a145f23ede197cd3620f1d98asvsSVSPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops71%2820801315
2a4bbee0b4cf52d5aadbbc662164f7efba89566cpetaPETAPedestrian Attribute Recognition At Far Distance[pdf]Unknown75%88662215036
f72f6a45ee240cc99296a287ff725aaa7e7ebb35caltech_pedestriansCaltech PedestriansPedestrian Detection: An Evaluation of the State of the Art[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748760%99959940069527466
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition100%000000
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition59%54532422037330218
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
27a2fad58dd8727e280f97036e0d2bc55ef5424cmotMOTPerformance Measures and a Data Set for Multi-Target, Multi-Camera Tracking[pdf]UnknowneduDuke UniversityUnited States35.99905220-78.9290629085%16914425311354
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8pridPRIDPerson Re-identification by Descriptive and Discriminative Classification[pdf]Unknown68%38626312323204180
98bb029afe2a1239c3fdab517323066f0957b81bilids_mcts_vidiLIDS-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
98bb029afe2a1239c3fdab517323066f0957b81bsdu_vidSDU-VIDPerson Re-identification by Video Ranking[pdf]Unknown68%20914366811197
0b84f07af44f964817675ad961def8a51406dd2eprwPRWPerson Re-identification in the Wild[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)68%77522514727
a0cc5f73a37723a6dd465924143f1cb4976d0169msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-identification[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition92%242221204
1c2802c2199b6d15ecefe7ba0c39bfe44363de38youtube_posesYouTube PosePersonalizing Human Video Pose Estimation[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduOxford UniversityUnited Kingdom51.75208490-1.2516646064%3623132308
2830fb5282de23d7784b4b4bc37065d27839a412h3dH3DPoselets: Body part detectors trained using 3D human pose annotations[pdf]2009 IEEE 12th International Conference on Computer Vision58%71641530159492222
3765df816dc5a061bc261e190acc8bdd9d47bec0rafdRaFDPresentation and validation of the Radboud Faces Database[pdf]Unknown48%48723425339342144
636b8ffc09b1b23ff714ac8350bb35635e49fa3ccaltech_10k_web_facesCaltech 10K Web FacesPruning training sets for learning of object categories[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)70%63441944220
3531332efe19be21e7401ba1f04570a142617236ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRR75%431040
140c95e53c619eac594d70f6369f518adfea12efijb_aIJB-APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)66%237156811415976
c72a2ea819df9b0e8cd267eebcc6528b8741e03dmegaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRR100%440040
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34v47V47Re-identification of pedestrians with variable occlusion and scale[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduKingston UniversityUnited Kingdom51.42930860-0.2684044056%954154
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951wardWARDRe-identify people in wide area camera network[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduUniversity of UdineItaly46.0810723013.2119474060%60362413821
54983972aafc8e149259d913524581357b0f91c3reseedReSEEDReSEED: social event dEtection dataset[pdf]Unknown67%642115
65355cbb581a219bd7461d48b3afd115263ea760complex_activitiesOngoing Complex ActivitiesRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf]2016 IEEE Winter Conference on Applications of Computer Vision (WACV)33%312030
e8de844fefd54541b71c9823416daa238be65546visual_phrasesPhrasal RecognitionRecognition using visual phrases[pdf]CVPR 2011eduUniversity of Illinois, Urbana-ChampaignUnited States40.11116745-88.2258766558%2461431031717068
356b431d4f7a2a0a38cf971c84568207dcdbf189widerWIDERRecognize complex events from static images by fusing deep channels[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)70%44311312915
25474c21613607f6bb7687a281d5f9d4ffa1f9f3faceplaceFace PlaceRecognizing disguised faces[pdf]Unknown34%29101901810
4053e3423fb70ad9140ca89351df49675197196abio_idBioID FaceRobust Face Detection Using the Hausdorff Distance[pdf]Unknown57%51128922249329182
2724ba85ec4a66de18da33925e537f3902f21249cofwCOFWRobust Face Landmark Estimation under Occlusion[pdf]2013 IEEE International Conference on Computer VisioneduCalifornia Institute of TechnologyUnited States34.13710185-118.1252748772%3252339212194133
c570d1247e337f91e555c3be0e8c8a5aba539d9fmcgillMcGill Real WorldRobust semi-automatic head pose labeling for real-world face video sequences[pdf]Multimedia Tools and ApplicationseduMcGill UniversityCanada45.50397610-73.5749687044%188100137
e27ef52c641c2b5100a1b34fd0b819e84a31b4dfsarc3dSarc3DSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf]Unknown74%3425922112
bd26dabab576adb6af30484183c9c9c8379bf2e0scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf]2015 IEEE International Conference on Systems, Man, and Cybernetics47%199102613
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3dscfaceSCfaceSCface – surveillance cameras face database[pdf]Multimedia Tools and Applications56%17910178158889
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%110010
833fa04463d90aab4a9fe2870d480f0b40df446esun_attributesSUNSUN attribute database: Discovering, annotating, and recognizing scene attributes[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduBrown UniversityUnited States41.82686820-71.4012314660%2641591052720656
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)companyMicrosoftUnited States47.64233180-122.1369302077%4603551059263185
9c23859ec7313f2e756a3e85575735e0c52249f4facebook_100Facebook100Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
9c23859ec7313f2e756a3e85575735e0c52249f4pubfig_83pubfig83Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard UniversityUnited States42.36782045-71.1266665362%52322033813
51eba481dac6b229a7490f650dff7b17ce05df73imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)65%5234181466
570f37ed63142312e6ccdf00ecc376341ec72b9fstanford_droneStanford DroneSocial LSTM: Human Trajectory Prediction in Crowded Spaces[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)56%22412599314081
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA MéditerranéeFrance43.615813107.0683800067%642015
1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)86%761152
9361b784e73e9238d5cefbea5ac40d35d1e3103foxford_town_centreTownCentreStable multi-target tracking in real-time surveillance video[pdf]CVPR 2011eduUniversity of OxfordUnited Kingdom51.75345380-1.2540099768%32822210613186140
2306b2a8fba28539306052764a77a0d0f5d1236aqmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRReduQueen Mary University of LondonUnited Kingdom51.52472720-0.03931035100%110010
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpku_reidPKU-ReidSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]Unknown50%422012
4d58f886f5150b2d5e48fd1b5a49e09799bf895dtexas_3dfrdTexas 3DFRDTexas 3D Face Recognition Database[pdf]2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)61%66402634027
6d96f946aaabc734af7fe3fc4454cf8547fcd5edar_facedbAR FaceThe AR face database[pdf]Unknown58%99957942058458530
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans59%42925417538198234
47662d1a368daf70ba70ef2d59eb6209f98b675dfiaCMU FiAThe CMU Face In Action (FIA) Database[pdf]Unknown48%54262854016
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
4d423acc78273b75134e2afd1777ba6d3a398973multi_pieMULTIPIEThe CMU Pose, Illumination, and Expression (PIE) Database[pdf]Unknown59%76044931049404345
4df3143922bcdf7db78eb91e6b5359d6ada004d2cfdCFDThe Chicago face database: A free stimulus set of faces and norming data.[pdf]Behavior research methods60%99594017321
20388099cc415c772926e47bcbbe554e133343d1cafe#N/AThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf]54%3720173307
4e6ee936eb50dd032f7138702fa39b7c18ee8907dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf]52%2111102183
9e31e77f9543ab42474ba4e9330676e18c242e72imdb_faceIMDb FaceThe Devil of Face Recognition is in the Noise[pdf]UnknowneduNanyang Technological UniversitySingapore1.34841040103.6829796550%633041
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6umd_facesUMDThe Do’s and Don’ts for CNN-Based Face Verification[pdf]2017 IEEE International Conference on Computer Vision Workshops (ICCVW)62%2616102168
72a155c987816ae81c858fddbd6beab656d86220europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%202020
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - WorkshopseduUniversity of PittsburghUnited States40.44415295-79.9624399361%99960739257470518
0f0fcf041559703998abf310e56f8a2f90ee6f21feretFERETThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf]Unknown34%2910193189
0c4a139bb87c6743c7905b29a3cfec27a5130652feretFERETThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf]UnknowneduCity University of New YorkUnited States40.87228250-73.8948917151%115595687537
dc8b25e35a3acb812beb499844734081722319b4feretFERETThe FERET database and evaluation procedure for face-recognition algorithms[pdf]Image Vision Comput.52%999521478103591421
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]Unknown50%16881106
8be57cdad86fdf8c8290df4ca3149592f3c46dd3m2vtsm2vtsThe M2VTS Multimodal Face Database (Release 1.00)[pdf]Unknown45%73334023933
ea050801199f98a1c7c1df6769f23f658299a3aempi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
ea050801199f98a1c7c1df6769f23f658299a3aempi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]52%3317164294
578d4ad74818086bb64f182f72e2c8bd31e3d426mr2MR2The MR2: A multi-racial, mega-resolution database of facial stimuli.[pdf]Behavior research methods43%734070
f1af714b92372c8e606485a3982eab2f16772ad8mug_facesMUG FacesThe MUG facial expression database[pdf]11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10eduAristotle University of ThessalonikiGreece40.6298414522.9588935055%82453743447
79828e6e9f137a583082b8b5a9dfce0c301989b8mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf]2017 IEEE International Conference on Computer Vision (ICCV)61%61372404316
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)76%13910633510037
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38avocVOCThe Pascal Visual Object Classes (VOC) Challenge[pdf]International Journal of Computer VisioncompanyMicrosoftUnited States47.64233180-122.1369302061%99960739128557422
66e6f08873325d37e0ec20a4769ce881e04e964esun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf]International Journal of Computer Vision60%1167046148431
8b2dd5c61b23ead5ae5508bb8ce808b5ea26673010k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face photographs.[pdf]Journal of experimental psychology. General56%52292323614
d178cde92ab3dc0dd2ebee5a76a33d556c39448bjiku_mobileJiku Mobile Video DatasetThe jiku mobile video dataset[pdf]UnknowneduNational University of SingaporeSingapore1.29620180103.7768994471%241770619
ae0aee03d946efffdc7af2362a42d3750e7dd48aput_facePut FaceThe put face database[pdf]Unknown55%99544555548
19d1b811df60f86cbd5e04a094b07f32fff7a32ayork_3dUOY 3D Face DatabaseThree-dimensional face recognition: an eigensurface approach[pdf]2004 International Conference on Image Processing, 2004. ICIP '04.42%38162242413
2edb87494278ad11641b6cf7a3f8996de12b8e14qmul_gridGRIDTime-Delayed Correlation Analysis for Multi-Camera Activity Understanding[pdf]International Journal of Computer VisioneduQueen Mary University of LondonUnited Kingdom51.52472720-0.0393103563%84533145133
64e0690dd176a93de9d4328f6e31fc4afe1e7536duke_mtmcDuke MTMCTracking Multiple People Online and in Real Time[pdf]Unknown78%2318511210
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0ferplusFER+Training deep networks for facial expression recognition with crowd-sourced label distribution[pdf]Unknown74%3425901816
4eab317b5ac436a949849ed286baa3de2a541eeflaofiwLAOFIWTurning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings[pdf]Unknown100%220020
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRR64%99964335656628362
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52umbUMBUMB-DB: A database of partially occluded 3D faces[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)66%47311622224
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)eduUniversity of MarylandUnited States39.28996850-76.6219610379%4233923011
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]UnknowneduUniversity of TrentoItaly46.0658836011.1159894086%761034
d4f1eb008eb80595bcfdac368e23ae9754e1e745uccsUCCSUnconstrained Face Detection and Open-Set Face Recognition Challenge[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)100%550041
4b4106614c1d553365bad75d7866bff0de6056edufiUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]Unknown50%1266046
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7kin_faceUB KinFaceUnderstanding Kin Relationships in a Photo[pdf]IEEE Transactions on Multimedia63%94593513361
5a4df9bef1872865f0b619ac3aacc97f49e4a035cuhk_train_stationCUHK Train Station DatasetUnderstanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduChinese University of Hong KongChina22.41626320114.2109318060%141845746075
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern RecognitioneduCarnegie Mellon UniversityUnited States40.44416190-79.94272826100%000000
15e1af79939dbf90790b03d8aa02477783fb1d0fduke_mtmcDuke MTMCUnlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro[pdf]2017 IEEE International Conference on Computer Vision (ICCV)100%000000
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and SystemseduUniversity of Notre DameUnited States41.70456775-86.2382202663%35221331815
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)eduUniversity of DelawareUnited States39.68103280-75.7540184067%151050510
70c59dc3470ae867016f6ab0e008ac8ba03774a1vgg_faces2VGG Face2VGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf]2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)80%83661736120
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)100%000000
b6c293f0420f7e945b5916ae44269fb53e139275erceERCeVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
b6c293f0420f7e945b5916ae44269fb53e139275tisiTimes Square IntersectionVideo Synopsis by Heterogeneous Multi-source Correlation[pdf]2013 IEEE International Conference on Computer Vision52%29151421413
5194cbd51f9769ab25260446b4fa17204752e799violent_flowsViolent FlowsViolent flows: Real-time detection of violent crowd behavior[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopseduOpen University of IsraelIsrael32.7782416534.9956567365%88573164544
026e3363b7f76b51cc711886597a44d5f1fd1de2kittiKITTIVision meets robotics: The KITTI dataset[pdf]I. J. Robotics Res.60%99960239736553462
066000d44d6691d27202896691f08b27117918b9psuPSUVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence54%1689177108579
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduUniversity of Massachusetts DartmouthUnited States41.62772475-71.0072450180%541023
8875ae233bc074f5cd6c4ebba447b536a7e847a5voxceleb2VoxCeleb2VoxCeleb2: Deep Speaker Recognition.[pdf]Unknown71%342492312
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong KongChina22.41626320114.2109318066%178118601111266
36bccfb2ad847096bc76777e544f305813cd8f5bwildtrackWildTrackWILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition100%000000
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDBWLFDB : Weakly Labeled Face Databases[pdf]Unknown100%110001
0dc11a37cadda92886c56a6fb5191ded62099c28stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple Persons[pdf]Unknown65%78512755423
0c91808994a250d7be332400a534a9291ca3b60egrazGraz PedestrianWeak Hypotheses and Boosting for Generic Object Detection and Recognition[pdf]Unknown56%2361311051716177
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo54%46425021445282188
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]UnknowneduUniversity of KentuckyUnited States38.03337420-84.50177580100%000000
b62628ac06bbac998a3ab825324a41a11bc3a988m2vtsdb_extendedxm2vtsdbXM2VTSDB : The extended M2VTS database[pdf]Unknown62%86453932537493404
010f0f4929e6a6644fb01f0e43820f91d0fad292yfcc_100mYFCC100MYFCC100M: the new data in multimedia research[pdf]Commun. ACMeduCarnegie Mellon UniversityUnited States40.44416190-79.9427282664%2741769823172100
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]Unknown80%151231213
\ No newline at end of file diff --git a/site/datasets/citations/adience.json b/site/datasets/citations/adience.json index 729f9baa..89ea03af 100644 --- a/site/datasets/citations/adience.json +++ b/site/datasets/citations/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}]}, "citations": [{"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900141", "http://doi.org/10.1109/ICPR.2016.7900141"]}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "addresses": [{"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "56f86bef26209c85f2ef66ec23b6803d12ca6cd6", "title": "Pyramidal RoR for image classification", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00307.pdf"], "doi": []}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "addresses": [{"name": "Cyprus University of Technology", "source_name": "Cyprus University of Technology", "street_adddress": "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "lat": "34.67567405", "lng": "33.04577648", "type": "edu", "country": "Cyprus"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7998260", "http://doi.org/10.1109/ICT.2017.7998260"]}, {"id": "3e19d36e41a8040df26929f19535e25dcda40d2b", "title": "Analysis of Human Age Estimation Process", "addresses": [{"name": "Maharashtra Institute of Technology, Pune", "source_name": "Maharashtra Institute of Technology, Pune", "street_adddress": "Survey No. 124, MIT College Campus, Paud Rd, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51836710", "lng": "73.81472260", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://www.ijarcce.com/upload/2015/march-15/IJARCCE%2028.pdf"], "doi": ["https://doi.org/10.17148/IJARCCE.2015.4328"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "ca011427853d34ce4ec9ccafde8a70c9eacc3e21", "title": "Deep Learning for Computer Vision: A Brief Review", "addresses": [{"name": "National Technical University of Athens", "source_name": "National Technical University of Athens", "street_adddress": "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.98782705", "lng": "23.73179733", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ca01/1427853d34ce4ec9ccafde8a70c9eacc3e21.pdf"], "doi": []}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "addresses": [{"name": "Babes Bolyai University", "source_name": "Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania", "street_adddress": "Strada Universit\u0103\u021bii 7-9, Cluj-Napoca 400084, Romania", "lat": "46.76779550", "lng": "23.59127620", "type": "edu", "country": "Romania"}, {"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8117018", "http://doi.org/10.1109/ICCP.2017.8117018"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "title": "Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/60dc/35a42ac758c5372c44f3791c951374658609.pdf"], "doi": []}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "24c5b0b2506198bd89d492145b6176a6b1c999e2", "title": "Evaluating gender portrayal in Bangladeshi TV", "addresses": [{"name": "Eastern University", "source_name": "Eastern University", "street_adddress": "Eastern University, Huston Road, Radnor Township, Delaware County, Pennsylvania, 19087, USA", "lat": "40.05056720", "lng": "-75.37109326", "type": "edu", "country": "United States"}, {"name": "Dhaka University", "source_name": "Dhaka University", "street_adddress": "Faculty of Social Welfare, Dhaka University, Azimpur Koborsthan Road, \u09ac\u09b8\u09cd\u09a4\u09bf, \u09b9\u09be\u099c\u09be\u09b0\u09c0\u09ac\u09be\u0997, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1950, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73179150", "lng": "90.38056250", "type": "edu", "country": "Bangladesh"}, {"name": "Khulna University of Engineering & Technology", "source_name": "Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh", "street_adddress": "KUET, Khulna 9203, Bangladesh", "lat": "22.89987610", "lng": "89.50295450", "type": "edu", "country": "Bangladesh"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09728.pdf"], "doi": []}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4646-5", "https://doi.org/10.1007/s11042-017-4646-5"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "addresses": [{"name": "Pontifical Catholic University of Rio de Janeiro", "source_name": "Pontifical Catholic University of Rio de Janeiro", "street_adddress": "R. Marqu\u00eas de S\u00e3o Vicente, 225 - G\u00e1vea, Rio de Janeiro - RJ, 22451-900, Brazil", "lat": "-22.97910740", "lng": "-43.23308250", "type": "edu", "country": "Brazil"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "\u00c9cole de technologie sup\u00e9rieure (\u00c9TS) Montreal, Canada", "source_name": "École de technologie supérieure (ÉTS) Montreal, Canada", "street_adddress": "Montreal, QC, Canada", "lat": "45.50168890", "lng": "-73.56725600", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3236082"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "16820ccfb626dcdc893cc7735784aed9f63cbb70", "title": "Real-time embedded age and gender classification in unconstrained video", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf", "https://ruor.uottawa.ca/bitstream/10393/32463/1/Azarmehr_Ramin_2015_thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301367", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301367", "http://doi.org/10.1109/CVPRW.2015.7301367"]}, {"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "title": "Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "addresses": [{"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080243", "http://doi.org/10.1109/TIFS.2017.2766039"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "458823c4a3be58dc188cf314113b91209017fd3a", "title": "A Fusion-based Gender Recognition Method Using Facial Images", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472550"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "title": "Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "addresses": [{"name": "Chubu University Aichi", "source_name": "Chubu University Aichi, Japan", "street_adddress": "\uff11\uff12\uff10\uff10 Matsumotocho, Kasugai, Aichi Prefecture 487-8501, Japan", "lat": "35.27302300", "lng": "137.01537880", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5fb5/d9389e2a2a4302c81bcfc068a4c8d4efe70c.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "title": "Head pose estimation using learned discretization", "addresses": [{"name": "College of Computing, Georgia Tech", "source_name": "College of Computing, Georgia Tech", "street_adddress": "801 Atlantic Dr NW, Atlanta, GA 30332, USA", "lat": "33.77743490", "lng": "-84.39732080", "type": "edu", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Elon University", "source_name": "Elon University", "street_adddress": "Amphitheater, North Antioch Avenue, Elon, Alamance County, North Carolina, 27244, USA", "lat": "36.10179560", "lng": "-79.50173300", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296770", "http://doi.org/10.1109/ICIP.2017.8296770"]}, {"id": "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "title": "Feature extraction for facial age estimation: A survey", "addresses": [{"name": "Uka Tarsadia University", "source_name": "Uka Tarsadia University, Bardoii, India", "street_adddress": "Uka Tarsadia University, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Barodli, Gujarat 394350, India", "lat": "21.06902900", "lng": "73.13322400", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566541"]}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "addresses": [{"name": "Centro Studi S.r.l., Buccino, Italy", "source_name": "Centro Studi S.r.l., Buccino, Italy", "street_adddress": "Via Magaldi, 15, 84021 Buccino SA, Italy", "lat": "40.63521320", "lng": "15.37973390", "type": "edu", "country": "Italy"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169756", "http://doi.org/10.1109/ICMEW.2015.7169756", "https://www.wikidata.org/entity/Q57823671"]}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "addresses": [{"name": "Sichuan Film and Television University", "source_name": "Sichuan Film and Television University, Chengdu, China", "street_adddress": "China, Sichuan, Chengdu, Jinniu, \u91d1\u946b\u5927\u9053\u6c99\u897f\u7ebf9 \u90ae\u653f\u7f16\u7801: 610036", "lat": "30.72405100", "lng": "104.02660600", "type": "edu", "country": "China"}, {"name": "Sichuan Tourism University", "source_name": "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "street_adddress": "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "lat": "30.57890800", "lng": "104.27712000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2024-3"]}, {"id": "eb4151eebd0b7451ca990b242cef8357bfa9db92", "title": "Human Gender Prediction on Facial Images Taken by Mobile Phone using Convolutional Neural Networks", "addresses": [{"name": "Mevlana Universitesi, Konya, Turkey", "source_name": "Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey", "street_adddress": "Ard\u0131\u00e7l\u0131 Mahallesi, \u0130smetpa\u015fa Cad., 42250 Sel\u00e7uklu/Konya, Turkey", "lat": "38.02953300", "lng": "32.50605100", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb41/51eebd0b7451ca990b242cef8357bfa9db92.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "6c0ad77af4c0850bd01bb118e175ecc313476f27", "title": "Extended multi-spectral face recognition across two different age groups: an empirical study", "addresses": [{"name": "Goa University", "source_name": "Goa University, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "NTNU, Norway", "source_name": "NTNU, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010026"]}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "title": "Women Also Snowboard: Overcoming Bias in Captioning Models", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00517.pdf"], "doi": []}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "31ea88f29e7f01a9801648d808f90862e066f9ea", "title": "Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06391.pdf"], "doi": []}, {"id": "cfdc632adcb799dba14af6a8339ca761725abf0a", "title": "Probabilistic Formulations of Regression with Mixed Guidance", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1804.01575.pdf"], "doi": []}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "16d6737b50f969247339a6860da2109a8664198a", "title": "Convolutional Neural Networks for Age and Gender Classification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/16d6/737b50f969247339a6860da2109a8664198a.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "ac9a331327cceda4e23f9873f387c9fd161fad76", "title": "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01664.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298723"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "0c4d42abe48db8d4ef5619031a179a9465b3e0c0", "title": "Automatic Real and Apparent Age Estimation in Still Images", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0c4d/42abe48db8d4ef5619031a179a9465b3e0c0.pdf"], "doi": []}, {"id": "771e27c4b53f58622e6f03788b5102e5e70b1e49", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245865", "http://doi.org/10.1109/TCYB.2017.2782661", "https://www.ncbi.nlm.nih.gov/pubmed/29993966"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "10126b467391e153d36f1a496ef5618097775ad1", "title": "An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA", "addresses": [{"name": "Bangalore Institute of Technology", "source_name": "Bangalore Institute of Technology", "street_adddress": "Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India", "lat": "12.95512590", "lng": "77.57419850", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1012/6b467391e153d36f1a496ef5618097775ad1.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "81fc86e86980a32c47410f0ba7b17665048141ec", "title": "Segment-based Methods for Facial Attribute Detection from Partial Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03546.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "3be8477ef3596f089c74a800a5e5ded500ad67e0", "title": "Grouped Multi-Task CNN for Facial Attribute Recognition", "addresses": [{"name": "Technology Sun Yat-Sen University", "source_name": "Technology Sun Yat-Sen University, Guangzhou, 510006, China", "street_adddress": "135 Xingang W Rd, BinJiang Lu, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China", "lat": "23.09653840", "lng": "113.29888300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545352"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "addresses": [{"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "source_name": "Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "street_adddress": "28359 Bremen, Germany", "lat": "53.10134760", "lng": "8.86116320", "type": "edu", "country": "Germany"}, {"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "6e177341d4412f9c9a639e33e6096344ef930202", "title": "A Gender Recognition System from Facial Image", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}, {"name": "University of Dhaka", "source_name": "University of Dhaka", "street_adddress": "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73169570", "lng": "90.39652750", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf"], "doi": []}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808570"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "title": "Human injected by Botox age estimation based on active shape models, speed up robust features, and support vector machine", "addresses": [{"name": "Mansoura University", "source_name": "Faculty of Computers and Information Sciences, Mansoura University, Egypt", "street_adddress": "Mit Khamis WA Kafr Al Mougi, Mansoura, Dakahlia Governorate, Egypt", "lat": "31.04230430", "lng": "31.35192950", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S1054661816030184"]}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"]}, {"id": "625a8ec3e6cfc5fee0962acf09023b6bb9752ed5", "title": "Video Age Estimation with Multiple Stacked CNN Models", "addresses": [{"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pos.sissa.it/299/021/pdf"], "doi": ["https://doi.org/10.22323/1.299.0021"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "addresses": [{"name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "source_name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "street_adddress": "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "lat": "-35.43542180", "lng": "-71.61999980", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743331"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "29f298dd5f806c99951cb434834bc8dcc765df18", "title": "Computationally efficient template-based face recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/07899837.pdf?attachauth=ANoY7cqfUhcvdFXMZgmlp5F8vpsgnxBsprKKckxy_aZoISF-hkIFI9fOfhgG4xZaMrCeWwTD5mMdnQ2hBZzxR-8V81R3mF4OfAFLYtwdzfrf-KZK0jmORMVmLD_J8Z9xHoxj2DB6UDiAYoDwXFNg06yeoySgY6iT4Pjc_KCaDToyeyrLijivRbrfFOyvuzxfUXyo9lVg9FY0e5H3mdW1NFllFKgxpOFV9Q%3D%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899837", "http://doi.org/10.1109/ICPR.2016.7899837"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "title": "Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a188.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/CNN_Gender_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376610", "http://doi.org/10.1109/SSCI.2015.37"]}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "cf1dc9e3b7ef7f80318a14a1667139a69f404f6f", "title": "Automatic age and gender classification using supervised appearance model", "addresses": [{"name": "University of Bradford", "source_name": "Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK", "street_adddress": "Richmond Rd, Bradford BD7 1DP, UK", "lat": "53.79245230", "lng": "-1.76566170", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://bradscholars.brad.ac.uk/bitstream/handle/10454/8760/Ugail_Journal_of_Electronic_Imaging.pdf;jsessionid=E55C0CC685CC06835220302A31D9329E?sequence=1", "https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-25/issue-06/061605/Automatic-age-and-gender-classification-using-supervised-appearance-model/10.1117/1.JEI.25.6.061605.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.25.6.061605"]}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "title": "Deep learning for fusing multi-sensor person-borne IED data", "addresses": [{"name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH", "source_name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America", "street_adddress": "2241 Avionics Cir, Wright-Patterson AFB, OH 45433 Avionics Cir, Wright-Patterson AFB, OH 45433, USA", "lat": "39.77761470", "lng": "-84.08212350", "type": "mil", "country": "United States"}, {"name": "Black Cat Science Inc., Boston, MA", "source_name": "Black Cat Science Inc., Boston, MA 02467, United States of America", "street_adddress": "Chestnut Hill, MA 02467, USA", "lat": "42.31781980", "lng": "-71.16267560", "type": "company", "country": "United States"}, {"name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "source_name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "street_adddress": "27-2 Wright Rd, Hollis, NH 03049, USA", "lat": "42.73887570", "lng": "-71.55718010", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943492"]}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09018.pdf"], "doi": []}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "63a4105adbe182e67d8fd324de5c84a6df444294", "title": "Gender classification by LPQ features from intensity and Monogenic images", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108045"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "9d6e60d49e92361f8f558013065dfa67043dd337", "title": "Applications of Computational Geometry and Computer Vision", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf"], "doi": []}, {"id": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "addresses": [{"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}], "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.pdf"], "doi": ["https://doi.org/10.5815/ijmecs.2015.12.03"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "addresses": [{"name": "University of Campinas (UNICAMP)", "source_name": "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/1077.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913", "http://doi.org/10.1109/SMC.2017.8122913"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "addresses": [{"name": "Visvesvaraya National Institute of Technology Nagpur, India", "source_name": "Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India", "street_adddress": "Near Tennis Court, VNIT College Compount, South Ambazari Road, Nagpur, Maharashtra 440010, India", "lat": "21.12503070", "lng": "79.05235540", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "92d051d4680eb41eb172d23cb8c93eed7677af56", "title": "Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451616", "http://doi.org/10.1109/ICIP.2018.8451616"]}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "addresses": [{"name": "Liverpool University", "source_name": "Liverpool University, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02901.pdf"], "doi": []}, {"id": "60cd4ba089d0b078cdac0db311099493b55624d8", "title": "Local Deep Neural Networks for gender recognition", "addresses": [{"name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "source_name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n Edificio 8G, Planta 4\u00aa, 46022 Val\u00e8ncia, Spain", "lat": "39.47844400", "lng": "-0.33375450", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/84826/main_plain.pdf?isAllowed=y&sequence=3"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.015"]}, {"id": "13a39916d0459879703ce20f960726c5fb7269f1", "title": "ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00542.pdf"], "doi": []}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "1fe121925668743762ce9f6e157081e087171f4c", "title": "Unsupervised learning of overcomplete face descriptors", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/cvprw2015.pdf", "https://users.aalto.fi/~kannalj1/publications/cvprw2015.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301322", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301322", "http://doi.org/10.1109/CVPRW.2015.7301322"]}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725652"]}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275951", "http://doi.org/10.1109/ICACCI.2015.7275951"]}, {"id": "80d32516b736a38a896898e62f6b3228870b4c67", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://eprints.bbk.ac.uk/18811/1/18811.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2017.01.007"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"], "doi": []}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "017e94ad51c9be864b98c9b75582753ce6ee134f", "title": "Rapid one-shot acquisition of dynamic VR avatars", "addresses": [{"name": "Disney Research, Zurich", "source_name": "Disney Research, CH", "street_adddress": "Disney Research Z\u00fcrich, 48, Stampfenbachstrasse, Unterstrass, Kreis 6, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8006, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.38046850", "lng": "8.54303550", "type": "edu", "country": "Switzerland"}, {"name": "Disney Research, UK", "source_name": "Disney Research, UK", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Walt Disney Imagineering", "source_name": "Walt Disney Imagineering, USA", "street_adddress": "Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA", "lat": "34.16191740", "lng": "-118.28837020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://graphics.ethz.ch/~jebazin/papers/VR_2017_resized.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892240", "http://doi.org/10.1109/VR.2017.7892372", "https://www.wikidata.org/entity/Q57724144"]}, {"id": "00a38ebce124879738b04ffc1536018e75399193", "title": "Convolutional neural network for age classification from smart-phone based ocular images", "addresses": [{"name": "University of Missouri-Kansas City", "source_name": "University of Missouri-Kansas City, MO, USA", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272766", "http://doi.org/10.1109/BTAS.2017.8272766"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "ba0d9e1e8bc798656429fe7121afee672dddb380", "title": "Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01990.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "title": "Deep Reinforcement Learning of Video Games", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/361c/9ba853c7d69058ddc0f32cdbe94fbc2166d5.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "addresses": [{"name": "Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Elektrik-Elektronik M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67476490", "lng": "39.18669250", "type": "edu", "country": "Turkey"}, {"name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.68127590", "lng": "39.19608300", "type": "edu", "country": "Turkey"}, {"name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67747550", "lng": "39.20301210", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090181"]}, {"id": "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "title": "Age and gender classification using local appearance descriptors from facial components", "addresses": [{"name": "Advanced Technologies Application Center, Havana, Cuba", "source_name": "Advanced Technologies Application Center, Siboney Playa, Havana, Cuba", "street_adddress": "Playa, Havana, Cuba", "lat": "23.08862140", "lng": "-82.44819440", "type": "edu", "country": "Cuba"}, {"name": "University of Sassari", "source_name": "University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy", "street_adddress": "Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy", "lat": "40.72401760", "lng": "8.55789470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272773", "http://doi.org/10.1109/BTAS.2017.8272773"]}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430617", "http://doi.org/10.1109/ICCE.2016.7430617"]}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406403", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54", "http://doi.org/10.1109/ICCVW.2015.54"]}, {"id": "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "title": "SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression", "addresses": [{"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05719.pdf"], "doi": []}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}, {"name": "Institute of Engineering & Management, Kolkata", "source_name": "Institute of Engineering & Management, Kolkata", "street_adddress": "Sarojini Naidu Rd, Ghola, Karnamadhavpur, Mohispota, West Bengal 700113, India", "lat": "22.71484600", "lng": "88.41618840", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "053931267af79a89791479b18d1b9cde3edcb415", "title": "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0539/31267af79a89791479b18d1b9cde3edcb415.pdf"], "doi": []}, {"id": "e08038b14165536c52ffe950d90d0f43be9c8f15", "title": "Smart Augmentation Learning an Optimal Data Augmentation Strategy", "addresses": [{"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08383.pdf"], "doi": []}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "87147418f863e3d8ff8c97db0b42695a1c28195b", "title": "Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07360.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "09e353946fb6adf1621f33041853c58aecfd183b", "title": "Deep convolutional neural networks-based age and gender classification with facial images", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298719"]}, {"id": "fd6427c8fa27cdce5ac5559d583bad8f13adb23e", "title": "A Review of Face Recognition against Longitudinal Child Faces", "addresses": [{"name": "University of North Carolina Wilmington", "source_name": "University of North Carolina Wilmington", "street_adddress": "Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.23755810", "lng": "-77.92701290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd64/27c8fa27cdce5ac5559d583bad8f13adb23e.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}]} \ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}]}, "citations": [{"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900141", "http://doi.org/10.1109/ICPR.2016.7900141"]}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "addresses": [{"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "56f86bef26209c85f2ef66ec23b6803d12ca6cd6", "title": "Pyramidal RoR for image classification", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00307.pdf"], "doi": []}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "addresses": [{"name": "Cyprus University of Technology", "source_name": "Cyprus University of Technology", "street_adddress": "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "lat": "34.67567405", "lng": "33.04577648", "type": "edu", "country": "Cyprus"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7998260", "http://doi.org/10.1109/ICT.2017.7998260"]}, {"id": "3e19d36e41a8040df26929f19535e25dcda40d2b", "title": "Analysis of Human Age Estimation Process", "addresses": [{"name": "Maharashtra Institute of Technology, Pune", "source_name": "Maharashtra Institute of Technology, Pune", "street_adddress": "Survey No. 124, MIT College Campus, Paud Rd, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51836710", "lng": "73.81472260", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://www.ijarcce.com/upload/2015/march-15/IJARCCE%2028.pdf"], "doi": ["https://doi.org/10.17148/IJARCCE.2015.4328"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "ca011427853d34ce4ec9ccafde8a70c9eacc3e21", "title": "Deep Learning for Computer Vision: A Brief Review", "addresses": [{"name": "National Technical University of Athens", "source_name": "National Technical University of Athens", "street_adddress": "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.98782705", "lng": "23.73179733", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ca01/1427853d34ce4ec9ccafde8a70c9eacc3e21.pdf"], "doi": []}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "addresses": [{"name": "Babes Bolyai University", "source_name": "Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania", "street_adddress": "Strada Universit\u0103\u021bii 7-9, Cluj-Napoca 400084, Romania", "lat": "46.76779550", "lng": "23.59127620", "type": "edu", "country": "Romania"}, {"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8117018", "http://doi.org/10.1109/ICCP.2017.8117018"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "title": "Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/60dc/35a42ac758c5372c44f3791c951374658609.pdf"], "doi": []}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "24c5b0b2506198bd89d492145b6176a6b1c999e2", "title": "Evaluating gender portrayal in Bangladeshi TV", "addresses": [{"name": "Eastern University", "source_name": "Eastern University", "street_adddress": "Eastern University, Huston Road, Radnor Township, Delaware County, Pennsylvania, 19087, USA", "lat": "40.05056720", "lng": "-75.37109326", "type": "edu", "country": "United States"}, {"name": "Dhaka University", "source_name": "Dhaka University", "street_adddress": "Faculty of Social Welfare, Dhaka University, Azimpur Koborsthan Road, \u09ac\u09b8\u09cd\u09a4\u09bf, \u09b9\u09be\u099c\u09be\u09b0\u09c0\u09ac\u09be\u0997, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1950, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73179150", "lng": "90.38056250", "type": "edu", "country": "Bangladesh"}, {"name": "Khulna University of Engineering & Technology", "source_name": "Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh", "street_adddress": "KUET, Khulna 9203, Bangladesh", "lat": "22.89987610", "lng": "89.50295450", "type": "edu", "country": "Bangladesh"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09728.pdf"], "doi": []}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4646-5", "https://doi.org/10.1007/s11042-017-4646-5"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "addresses": [{"name": "Pontifical Catholic University of Rio de Janeiro", "source_name": "Pontifical Catholic University of Rio de Janeiro", "street_adddress": "R. Marqu\u00eas de S\u00e3o Vicente, 225 - G\u00e1vea, Rio de Janeiro - RJ, 22451-900, Brazil", "lat": "-22.97910740", "lng": "-43.23308250", "type": "edu", "country": "Brazil"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "\u00c9cole de technologie sup\u00e9rieure (\u00c9TS) Montreal, Canada", "source_name": "École de technologie supérieure (ÉTS) Montreal, Canada", "street_adddress": "Montreal, QC, Canada", "lat": "45.50168890", "lng": "-73.56725600", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3236082"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "16820ccfb626dcdc893cc7735784aed9f63cbb70", "title": "Real-time embedded age and gender classification in unconstrained video", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf", "https://ruor.uottawa.ca/bitstream/10393/32463/1/Azarmehr_Ramin_2015_thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301367", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301367", "http://doi.org/10.1109/CVPRW.2015.7301367"]}, {"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "title": "Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "addresses": [{"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080243", "http://doi.org/10.1109/TIFS.2017.2766039"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "458823c4a3be58dc188cf314113b91209017fd3a", "title": "A Fusion-based Gender Recognition Method Using Facial Images", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472550"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "title": "Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "addresses": [{"name": "Chubu University Aichi", "source_name": "Chubu University Aichi, Japan", "street_adddress": "\uff11\uff12\uff10\uff10 Matsumotocho, Kasugai, Aichi Prefecture 487-8501, Japan", "lat": "35.27302300", "lng": "137.01537880", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5fb5/d9389e2a2a4302c81bcfc068a4c8d4efe70c.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "title": "Head pose estimation using learned discretization", "addresses": [{"name": "College of Computing, Georgia Tech", "source_name": "College of Computing, Georgia Tech", "street_adddress": "801 Atlantic Dr NW, Atlanta, GA 30332, USA", "lat": "33.77743490", "lng": "-84.39732080", "type": "edu", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Elon University", "source_name": "Elon University", "street_adddress": "Amphitheater, North Antioch Avenue, Elon, Alamance County, North Carolina, 27244, USA", "lat": "36.10179560", "lng": "-79.50173300", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296770", "http://doi.org/10.1109/ICIP.2017.8296770"]}, {"id": "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "title": "Feature extraction for facial age estimation: A survey", "addresses": [{"name": "Uka Tarsadia University", "source_name": "Uka Tarsadia University, Bardoii, India", "street_adddress": "Uka Tarsadia University, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Barodli, Gujarat 394350, India", "lat": "21.06902900", "lng": "73.13322400", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566541"]}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "addresses": [{"name": "Centro Studi S.r.l., Buccino, Italy", "source_name": "Centro Studi S.r.l., Buccino, Italy", "street_adddress": "Via Magaldi, 15, 84021 Buccino SA, Italy", "lat": "40.63521320", "lng": "15.37973390", "type": "edu", "country": "Italy"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169756", "http://doi.org/10.1109/ICMEW.2015.7169756", "https://www.wikidata.org/entity/Q57823671"]}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "addresses": [{"name": "Sichuan Film and Television University", "source_name": "Sichuan Film and Television University, Chengdu, China", "street_adddress": "China, Sichuan, Chengdu, Jinniu, \u91d1\u946b\u5927\u9053\u6c99\u897f\u7ebf9 \u90ae\u653f\u7f16\u7801: 610036", "lat": "30.72405100", "lng": "104.02660600", "type": "edu", "country": "China"}, {"name": "Sichuan Tourism University", "source_name": "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "street_adddress": "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "lat": "30.57890800", "lng": "104.27712000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2024-3"]}, {"id": "eb4151eebd0b7451ca990b242cef8357bfa9db92", "title": "Human Gender Prediction on Facial Images Taken by Mobile Phone using Convolutional Neural Networks", "addresses": [{"name": "Mevlana Universitesi, Konya, Turkey", "source_name": "Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey", "street_adddress": "Ard\u0131\u00e7l\u0131 Mahallesi, \u0130smetpa\u015fa Cad., 42250 Sel\u00e7uklu/Konya, Turkey", "lat": "38.02953300", "lng": "32.50605100", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb41/51eebd0b7451ca990b242cef8357bfa9db92.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "6c0ad77af4c0850bd01bb118e175ecc313476f27", "title": "Extended multi-spectral face recognition across two different age groups: an empirical study", "addresses": [{"name": "Goa University", "source_name": "Goa University, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "NTNU, Norway", "source_name": "NTNU, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010026"]}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "title": "Women Also Snowboard: Overcoming Bias in Captioning Models", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00517.pdf"], "doi": []}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "31ea88f29e7f01a9801648d808f90862e066f9ea", "title": "Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06391.pdf"], "doi": []}, {"id": "cfdc632adcb799dba14af6a8339ca761725abf0a", "title": "Probabilistic Formulations of Regression with Mixed Guidance", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1804.01575.pdf"], "doi": []}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "16d6737b50f969247339a6860da2109a8664198a", "title": "Convolutional Neural Networks for Age and Gender Classification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/16d6/737b50f969247339a6860da2109a8664198a.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "ac9a331327cceda4e23f9873f387c9fd161fad76", "title": "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01664.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298723"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "0c4d42abe48db8d4ef5619031a179a9465b3e0c0", "title": "Automatic Real and Apparent Age Estimation in Still Images", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0c4d/42abe48db8d4ef5619031a179a9465b3e0c0.pdf"], "doi": []}, {"id": "771e27c4b53f58622e6f03788b5102e5e70b1e49", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245865", "http://doi.org/10.1109/TCYB.2017.2782661", "https://www.ncbi.nlm.nih.gov/pubmed/29993966"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "10126b467391e153d36f1a496ef5618097775ad1", "title": "An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA", "addresses": [{"name": "Bangalore Institute of Technology", "source_name": "Bangalore Institute of Technology", "street_adddress": "Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India", "lat": "12.95512590", "lng": "77.57419850", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1012/6b467391e153d36f1a496ef5618097775ad1.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "81fc86e86980a32c47410f0ba7b17665048141ec", "title": "Segment-based Methods for Facial Attribute Detection from Partial Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03546.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "3be8477ef3596f089c74a800a5e5ded500ad67e0", "title": "Grouped Multi-Task CNN for Facial Attribute Recognition", "addresses": [{"name": "Technology Sun Yat-Sen University", "source_name": "Technology Sun Yat-Sen University, Guangzhou, 510006, China", "street_adddress": "135 Xingang W Rd, BinJiang Lu, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China", "lat": "23.09653840", "lng": "113.29888300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545352"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "addresses": [{"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "source_name": "Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "street_adddress": "28359 Bremen, Germany", "lat": "53.10134760", "lng": "8.86116320", "type": "edu", "country": "Germany"}, {"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "6e177341d4412f9c9a639e33e6096344ef930202", "title": "A Gender Recognition System from Facial Image", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}, {"name": "University of Dhaka", "source_name": "University of Dhaka", "street_adddress": "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73169570", "lng": "90.39652750", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf"], "doi": []}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808570"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "title": "Human injected by Botox age estimation based on active shape models, speed up robust features, and support vector machine", "addresses": [{"name": "Mansoura University", "source_name": "Faculty of Computers and Information Sciences, Mansoura University, Egypt", "street_adddress": "Mit Khamis WA Kafr Al Mougi, Mansoura, Dakahlia Governorate, Egypt", "lat": "31.04230430", "lng": "31.35192950", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S1054661816030184"]}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"]}, {"id": "625a8ec3e6cfc5fee0962acf09023b6bb9752ed5", "title": "Video Age Estimation with Multiple Stacked CNN Models", "addresses": [{"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pos.sissa.it/299/021/pdf"], "doi": ["https://doi.org/10.22323/1.299.0021"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "addresses": [{"name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "source_name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "street_adddress": "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "lat": "-35.43542180", "lng": "-71.61999980", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743331"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "29f298dd5f806c99951cb434834bc8dcc765df18", "title": "Computationally efficient template-based face recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/07899837.pdf?attachauth=ANoY7cqfUhcvdFXMZgmlp5F8vpsgnxBsprKKckxy_aZoISF-hkIFI9fOfhgG4xZaMrCeWwTD5mMdnQ2hBZzxR-8V81R3mF4OfAFLYtwdzfrf-KZK0jmORMVmLD_J8Z9xHoxj2DB6UDiAYoDwXFNg06yeoySgY6iT4Pjc_KCaDToyeyrLijivRbrfFOyvuzxfUXyo9lVg9FY0e5H3mdW1NFllFKgxpOFV9Q%3D%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899837", "http://doi.org/10.1109/ICPR.2016.7899837"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "title": "Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a188.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/CNN_Gender_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376610", "http://doi.org/10.1109/SSCI.2015.37"]}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "cf1dc9e3b7ef7f80318a14a1667139a69f404f6f", "title": "Automatic age and gender classification using supervised appearance model", "addresses": [{"name": "University of Bradford", "source_name": "Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK", "street_adddress": "Richmond Rd, Bradford BD7 1DP, UK", "lat": "53.79245230", "lng": "-1.76566170", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://bradscholars.brad.ac.uk/bitstream/handle/10454/8760/Ugail_Journal_of_Electronic_Imaging.pdf;jsessionid=E55C0CC685CC06835220302A31D9329E?sequence=1", "https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-25/issue-06/061605/Automatic-age-and-gender-classification-using-supervised-appearance-model/10.1117/1.JEI.25.6.061605.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.25.6.061605"]}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "title": "Deep learning for fusing multi-sensor person-borne IED data", "addresses": [{"name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH", "source_name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America", "street_adddress": "2241 Avionics Cir, Wright-Patterson AFB, OH 45433 Avionics Cir, Wright-Patterson AFB, OH 45433, USA", "lat": "39.77761470", "lng": "-84.08212350", "type": "mil", "country": "United States"}, {"name": "Black Cat Science Inc., Boston, MA", "source_name": "Black Cat Science Inc., Boston, MA 02467, United States of America", "street_adddress": "Chestnut Hill, MA 02467, USA", "lat": "42.31781980", "lng": "-71.16267560", "type": "company", "country": "United States"}, {"name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "source_name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "street_adddress": "27-2 Wright Rd, Hollis, NH 03049, USA", "lat": "42.73887570", "lng": "-71.55718010", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943492"]}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09018.pdf"], "doi": []}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "63a4105adbe182e67d8fd324de5c84a6df444294", "title": "Gender classification by LPQ features from intensity and Monogenic images", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108045"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "9d6e60d49e92361f8f558013065dfa67043dd337", "title": "Applications of Computational Geometry and Computer Vision", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf"], "doi": []}, {"id": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "addresses": [{"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}], "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.pdf"], "doi": ["https://doi.org/10.5815/ijmecs.2015.12.03"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "addresses": [{"name": "University of Campinas (UNICAMP)", "source_name": "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/1077.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913", "http://doi.org/10.1109/SMC.2017.8122913"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "addresses": [{"name": "Visvesvaraya National Institute of Technology Nagpur, India", "source_name": "Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India", "street_adddress": "Near Tennis Court, VNIT College Compount, South Ambazari Road, Nagpur, Maharashtra 440010, India", "lat": "21.12503070", "lng": "79.05235540", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "92d051d4680eb41eb172d23cb8c93eed7677af56", "title": "Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451616", "http://doi.org/10.1109/ICIP.2018.8451616"]}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "addresses": [{"name": "Liverpool University", "source_name": "Liverpool University, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02901.pdf"], "doi": []}, {"id": "60cd4ba089d0b078cdac0db311099493b55624d8", "title": "Local Deep Neural Networks for gender recognition", "addresses": [{"name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "source_name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n Edificio 8G, Planta 4\u00aa, 46022 Val\u00e8ncia, Spain", "lat": "39.47844400", "lng": "-0.33375450", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/84826/main_plain.pdf?isAllowed=y&sequence=3"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.015"]}, {"id": "13a39916d0459879703ce20f960726c5fb7269f1", "title": "ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00542.pdf"], "doi": []}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "1fe121925668743762ce9f6e157081e087171f4c", "title": "Unsupervised learning of overcomplete face descriptors", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/cvprw2015.pdf", "https://users.aalto.fi/~kannalj1/publications/cvprw2015.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301322", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301322", "http://doi.org/10.1109/CVPRW.2015.7301322"]}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725652"]}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275951", "http://doi.org/10.1109/ICACCI.2015.7275951"]}, {"id": "80d32516b736a38a896898e62f6b3228870b4c67", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://eprints.bbk.ac.uk/18811/1/18811.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2017.01.007"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"], "doi": []}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "017e94ad51c9be864b98c9b75582753ce6ee134f", "title": "Rapid one-shot acquisition of dynamic VR avatars", "addresses": [{"name": "Disney Research, Zurich", "source_name": "Disney Research, CH", "street_adddress": "Disney Research Z\u00fcrich, 48, Stampfenbachstrasse, Unterstrass, Kreis 6, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8006, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.38046850", "lng": "8.54303550", "type": "edu", "country": "Switzerland"}, {"name": "Disney Research, UK", "source_name": "Disney Research, UK", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Walt Disney Imagineering", "source_name": "Walt Disney Imagineering, USA", "street_adddress": "Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA", "lat": "34.16191740", "lng": "-118.28837020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://graphics.ethz.ch/~jebazin/papers/VR_2017_resized.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892240", "http://doi.org/10.1109/VR.2017.7892372", "https://www.wikidata.org/entity/Q57724144"]}, {"id": "00a38ebce124879738b04ffc1536018e75399193", "title": "Convolutional neural network for age classification from smart-phone based ocular images", "addresses": [{"name": "University of Missouri-Kansas City", "source_name": "University of Missouri-Kansas City, MO, USA", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272766", "http://doi.org/10.1109/BTAS.2017.8272766"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "ba0d9e1e8bc798656429fe7121afee672dddb380", "title": "Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01990.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "title": "Deep Reinforcement Learning of Video Games", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/361c/9ba853c7d69058ddc0f32cdbe94fbc2166d5.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "addresses": [{"name": "Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Elektrik-Elektronik M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67476490", "lng": "39.18669250", "type": "edu", "country": "Turkey"}, {"name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.68127590", "lng": "39.19608300", "type": "edu", "country": "Turkey"}, {"name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67747550", "lng": "39.20301210", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090181"]}, {"id": "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "title": "Age and gender classification using local appearance descriptors from facial components", "addresses": [{"name": "Advanced Technologies Application Center, Havana, Cuba", "source_name": "Advanced Technologies Application Center, Siboney Playa, Havana, Cuba", "street_adddress": "Playa, Havana, Cuba", "lat": "23.08862140", "lng": "-82.44819440", "type": "edu", "country": "Cuba"}, {"name": "University of Sassari", "source_name": "University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy", "street_adddress": "Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy", "lat": "40.72401760", "lng": "8.55789470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272773", "http://doi.org/10.1109/BTAS.2017.8272773"]}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430617", "http://doi.org/10.1109/ICCE.2016.7430617"]}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406403", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54", "http://doi.org/10.1109/ICCVW.2015.54"]}, {"id": "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "title": "SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression", "addresses": [{"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05719.pdf"], "doi": []}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}, {"name": "Institute of Engineering & Management, Kolkata", "source_name": "Institute of Engineering & Management, Kolkata", "street_adddress": "Sarojini Naidu Rd, Ghola, Karnamadhavpur, Mohispota, West Bengal 700113, India", "lat": "22.71484600", "lng": "88.41618840", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "1f76b7b071f3e65c97d09720f88d6b0ad9f07e8f", "title": "Identity Mappings in Deep Residual Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05027.pdf"], "doi": []}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "053931267af79a89791479b18d1b9cde3edcb415", "title": "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0539/31267af79a89791479b18d1b9cde3edcb415.pdf"], "doi": []}, {"id": "e08038b14165536c52ffe950d90d0f43be9c8f15", "title": "Smart Augmentation Learning an Optimal Data Augmentation Strategy", "addresses": [{"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08383.pdf"], "doi": []}, {"id": "8fee9b8c44626c4ac6b96ef183394bc4f36dc95f", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "a38168015a783fecc5830260a7eb5b9e3e945ee2", "title": "Deep Networks with Stochastic Depth", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09382.pdf"], "doi": []}, {"id": "87147418f863e3d8ff8c97db0b42695a1c28195b", "title": "Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07360.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "09e353946fb6adf1621f33041853c58aecfd183b", "title": "Deep convolutional neural networks-based age and gender classification with facial images", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298719"]}, {"id": "39539b7fcf1c637b04de84b23dc9c85a8b2f9f40", "title": "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04980.pdf"], "doi": []}, {"id": "fd6427c8fa27cdce5ac5559d583bad8f13adb23e", "title": "A Review of Face Recognition against Longitudinal Child Faces", "addresses": [{"name": "University of North Carolina Wilmington", "source_name": "University of North Carolina Wilmington", "street_adddress": "Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.23755810", "lng": "-77.92701290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd64/27c8fa27cdce5ac5559d583bad8f13adb23e.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}, {"id": "76b06a9a7f16b8004dc9c4dd2d1d0a1aec0acd28", "title": "Zero-shot Domain Adaptation Based on Attribute Information", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Future University Hakodate", "source_name": "Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan", "street_adddress": "\uff11\uff11\uff16-2 Kamedanakanocho, Hakodate, Hokkaido 041-8655, Japan", "lat": "41.84181740", "lng": "140.76696870", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.05312.pdf"], "doi": []}, {"id": "c43d3ad956118ea1d26d39903097e2db86eae822", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/afad.json b/site/datasets/citations/afad.json index 08e96494..c0640c9b 100644 --- a/site/datasets/citations/afad.json +++ b/site/datasets/citations/afad.json @@ -1 +1 @@ -{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "paper": {"key": "afad", "name": "AFAD", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "addresses": []}, "citations": [{"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "2e56209ed179be641e6df5efd11be8b3d54a62e9", "title": "Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e56/209ed179be641e6df5efd11be8b3d54a62e9.pdf"], "doi": []}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "c48cfef662b39935b4a78ac64d6178870dfbba5e", "title": "Deep Learning Based Approach for Range Estimation", "addresses": [{"name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "source_name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "street_adddress": "Chandipur, Odisha 756025, India", "lat": "21.44331590", "lng": "87.01364630", "type": "mil", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8635069"]}, {"id": "8d07fc18aa55c775760f721be4ace03de2693289", "title": "Attention-based Context Aggregation Network for Monocular Depth Estimation", "addresses": [{"name": "University of Science and Technology", "source_name": "University of Science and Technology, Tehran, Iran", "street_adddress": "Tehran, Tehran Province, Iran", "lat": "35.74247400", "lng": "51.50231030", "type": "edu", "country": "Iran"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10137.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "bd833fc0989c4eb3ffc88713bdfc8d7480132fc4", "title": "Deep Learning for Real-Time Robust Facial Expression Analysis", "addresses": [{"name": "P.G Demidov Yaroslavl State University", "source_name": "P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation", "street_adddress": "Sovetskaya Ulitsa, 14, Yaroslavl', Yaroslavskaya oblast', Russia, 150003", "lat": "57.63279760", "lng": "39.88747600", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220518"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "e3abc96908ed0ba5537802266672d09df530d7f2", "title": "Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04029.pdf"], "doi": []}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "ac9bdf668852dea5fa8ec4262f10562eda9bedd2", "title": "Deep Structured Learning for Facial Expression Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ac9b/df668852dea5fa8ec4262f10562eda9bedd2.pdf"], "doi": []}, {"id": "67ab22dff1c21e8680f94948d80b77314b325d66", "title": "Learning for MultiTask Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/67ab/22dff1c21e8680f94948d80b77314b325d66.pdf"], "doi": []}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "387b54cf6c186c12d83f95df6bd458c5eb1254ee", "title": "Deep probabilities for age estimation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305123", "http://doi.org/10.1109/VCIP.2017.8305123"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "2c461388ce3ab65ecbb5a4d4aab122cb7198c01f", "title": "Preliminary Studies on a Large Face Database", "addresses": [{"name": "North Carolina A&T State University", "source_name": "North Carolina A&T State University, Greensboro, NC 27411, USA", "street_adddress": "120, Gibbs Hall, 1601 E Market St, Greensboro, NC 27411, United States", "lat": "36.07211420", "lng": "-79.77448420", "type": "edu", "country": "United States"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}, {"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622432"]}, {"id": "f775be87ca71180d1cf97d81678f4fd713343e01", "title": "Curriculum Learning for Multi-task Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08728.pdf"], "doi": []}, {"id": "f611f46455ed6ad9af85eeb22e294082dced9bed", "title": "Learning of Visual Attribute Clusters for MultiTask Classification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f611/f46455ed6ad9af85eeb22e294082dced9bed.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "6f98c18e834ba2cea0ad0157b53c34dbcd0c318e", "title": "Happiness level prediction with sequential inputs via multiple regressions", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997636"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "7ad34c3c9647bbfd9e404f802a21fee9e1029f13", "title": "Incremental sparse Bayesian ordinal regression", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06553.pdf"], "doi": []}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "7ed27f10ff2961611bb8604096a64adfa38c9022", "title": "Deep Structured Learning for Facial Action Unit Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04481.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "1bc9aaa41c08bbd0c01dd5d7d7ebf3e48ae78113", "title": "k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1bc9/aaa41c08bbd0c01dd5d7d7ebf3e48ae78113.pdf"], "doi": []}]} \ No newline at end of file +{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "paper": {"key": "afad", "name": "AFAD", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "addresses": []}, "citations": [{"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "2e56209ed179be641e6df5efd11be8b3d54a62e9", "title": "Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e56/209ed179be641e6df5efd11be8b3d54a62e9.pdf"], "doi": []}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "c48cfef662b39935b4a78ac64d6178870dfbba5e", "title": "Deep Learning Based Approach for Range Estimation", "addresses": [{"name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "source_name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "street_adddress": "Chandipur, Odisha 756025, India", "lat": "21.44331590", "lng": "87.01364630", "type": "mil", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8635069"]}, {"id": "8d07fc18aa55c775760f721be4ace03de2693289", "title": "Attention-based Context Aggregation Network for Monocular Depth Estimation", "addresses": [{"name": "University of Science and Technology", "source_name": "University of Science and Technology, Tehran, Iran", "street_adddress": "Tehran, Tehran Province, Iran", "lat": "35.74247400", "lng": "51.50231030", "type": "edu", "country": "Iran"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10137.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "bd833fc0989c4eb3ffc88713bdfc8d7480132fc4", "title": "Deep Learning for Real-Time Robust Facial Expression Analysis", "addresses": [{"name": "P.G Demidov Yaroslavl State University", "source_name": "P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation", "street_adddress": "Sovetskaya Ulitsa, 14, Yaroslavl', Yaroslavskaya oblast', Russia, 150003", "lat": "57.63279760", "lng": "39.88747600", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220518"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "e3abc96908ed0ba5537802266672d09df530d7f2", "title": "Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04029.pdf"], "doi": []}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "ac9bdf668852dea5fa8ec4262f10562eda9bedd2", "title": "Deep Structured Learning for Facial Expression Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ac9b/df668852dea5fa8ec4262f10562eda9bedd2.pdf"], "doi": []}, {"id": "67ab22dff1c21e8680f94948d80b77314b325d66", "title": "Learning for MultiTask Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/67ab/22dff1c21e8680f94948d80b77314b325d66.pdf"], "doi": []}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "387b54cf6c186c12d83f95df6bd458c5eb1254ee", "title": "Deep probabilities for age estimation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305123", "http://doi.org/10.1109/VCIP.2017.8305123"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "2c461388ce3ab65ecbb5a4d4aab122cb7198c01f", "title": "Preliminary Studies on a Large Face Database", "addresses": [{"name": "North Carolina A&T State University", "source_name": "North Carolina A&T State University, Greensboro, NC 27411, USA", "street_adddress": "120, Gibbs Hall, 1601 E Market St, Greensboro, NC 27411, United States", "lat": "36.07211420", "lng": "-79.77448420", "type": "edu", "country": "United States"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}, {"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622432"]}, {"id": "f775be87ca71180d1cf97d81678f4fd713343e01", "title": "Curriculum Learning for Multi-task Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08728.pdf"], "doi": []}, {"id": "f611f46455ed6ad9af85eeb22e294082dced9bed", "title": "Learning of Visual Attribute Clusters for MultiTask Classification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f611/f46455ed6ad9af85eeb22e294082dced9bed.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "6f98c18e834ba2cea0ad0157b53c34dbcd0c318e", "title": "Happiness level prediction with sequential inputs via multiple regressions", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997636"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "7ad34c3c9647bbfd9e404f802a21fee9e1029f13", "title": "Incremental sparse Bayesian ordinal regression", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06553.pdf"], "doi": []}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "7ed27f10ff2961611bb8604096a64adfa38c9022", "title": "Deep Structured Learning for Facial Action Unit Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04481.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "1bc9aaa41c08bbd0c01dd5d7d7ebf3e48ae78113", "title": "k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1bc9/aaa41c08bbd0c01dd5d7d7ebf3e48ae78113.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/brainwash.json b/site/datasets/citations/brainwash.json index 0dbb6854..cff0b7b7 100644 --- a/site/datasets/citations/brainwash.json +++ b/site/datasets/citations/brainwash.json @@ -1 +1 @@ -{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "paper": {"key": "brainwash", "name": "Brainwash", "title": "End-to-End People Detection in Crowded Scenes", "year": "2016", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}]}, "citations": [{"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "title": "Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "University of Applied Sciences Aschaffenburg", "source_name": "Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany", "street_adddress": "W\u00fcrzburger Str. 45, 63743 Aschaffenburg, Germany", "lat": "49.97119610", "lng": "9.16056230", "type": "edu", "country": "Germany"}, {"name": "University of Kassel", "source_name": "University of Kassel, Kassel, Germany", "street_adddress": "M\u00f6nchebergstra\u00dfe 19, 34125 Kassel, Germany", "lat": "51.32281900", "lng": "9.50735310", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569267"]}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "3a1a70ce6e785d527384f4e138120ce251092caa", "title": "Recurrent Instance Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08250.pdf"], "doi": []}, {"id": "4426c75458a0769d9b157c100f55edf28a09825e", "title": "Humanlike Behavior Generation in Urban Environment Based on Learning-Based Potentials With a Low-Cost Lane Graph", "addresses": [{"name": "Toyota Central R&D Labs, Japan", "source_name": "Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan", "street_adddress": "41\u756a\uff11 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan", "lat": "35.16898430", "lng": "137.05429210", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241707"]}, {"id": "663ab3b9d5c60a49ded3977c8770911d57d754e9", "title": "Deep People Counting with Faster R-CNN and Correlation Tracking", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition, CASIA, Beijing, China", "source_name": "National Laboratory of Pattern Recognition, CASIA, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007745"]}, {"id": "3d24b386d003bee176a942c26336dbe8f427aadd", "title": "Sequential Person Recognition in Photo Albums with a Recurrent Network", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09967.pdf"], "doi": []}, {"id": "a3f4f163e87b28901389e189bb7f0f655995793f", "title": "End-to-End Instance Segmentation and Counting with Recurrent Attention", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f4/f163e87b28901389e189bb7f0f655995793f.pdf"], "doi": []}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "1bcf0868ca925da10f5b902664dd05a783724997", "title": "Attentive Contexts for Object Detection", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792742"]}, {"id": "fcab5a9f26db32982c12fa5b72d22ec205da7c7c", "title": "Semantic Object Parsing with Graph LSTM", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07063.pdf"], "doi": []}, {"id": "84a3478cf884b0cbba480c7c36dab565e778094b", "title": "Learning to detect chest radiographs containing lung nodules using visual attention networks", "addresses": [{"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1712.00996.pdf"], "doi": []}, {"id": "3643559e102e8c2617592583c693f26b36030e33", "title": "A Computer Vision System to Localize and Classify Wastes on the Streets", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.11374.pdf"], "doi": []}, {"id": "63dbeab986260a7e1f04ec585f9aed91fbbd8f40", "title": "Learning to decompose for object detection and instance segmentation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06449.pdf"], "doi": []}, {"id": "6d3c8c5869b512090b1283fba28f01c2748b0ebc", "title": "Recurrent neural networks for object detection in video sequences", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3c/8c5869b512090b1283fba28f01c2748b0ebc.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "00a80e0e64c0b65bd3f19e865dca022e0dbeaa9e", "title": "2D recurrent neural networks: a high-performance tool for robust visual tracking in dynamic scenes", "addresses": [{"name": "University of Plymouth", "source_name": "University of Plymouth", "street_adddress": "Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37525010", "lng": "-4.13927692", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/10087/journal_NCA_revisioni_finali_elements.pdf?isAllowed=n&sequence=1"], "doi": ["https://doi.org/10.1007/s00521-017-3235-x"]}, {"id": "4cd6f20db45cdd3a21c08e1a56754cdf98d070a1", "title": "Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes", "addresses": [{"name": "Taiyuan University of Technology", "source_name": "College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China", "street_adddress": "79 Yingze W St, Wanbailin Qu, Taiyuan Shi, Shanxi Sheng, China, 030024", "lat": "37.86129070", "lng": "112.52292780", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7515214", "http://doi.org/10.1109/LSP.2016.2592689"]}, {"id": "81417cad46f49347d0e678544994f6eed027012a", "title": "Parameter compression of recurrent neural networks and degradation of short-term memory", "addresses": [{"name": "Qualcomm Technologies, Inc., San Diego, United States", "source_name": "Qualcomm Technologies, Inc., San Diego, United States", "street_adddress": "5775 Morehouse Dr, San Diego, CA 92121, USA", "lat": "32.89607560", "lng": "-117.19559840", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965943"]}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}]} \ No newline at end of file +{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "paper": {"key": "brainwash", "name": "Brainwash", "title": "End-to-End People Detection in Crowded Scenes", "year": "2016", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}]}, "citations": [{"id": "e35515f699b60472ac8f50d1da84fab3c55417d6", "title": "Key Parts Context and Scene Geometry in Human Head Detection", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451832"]}, {"id": "5d5d267416aeb2bbddaf06f703e8683753abdcd0", "title": "Exploiting Multispectral and Contextual Information to Improve Human Detection", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5d5d/267416aeb2bbddaf06f703e8683753abdcd0.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "cab97d4dc67919f965cc884d80e4d6b743a256eb", "title": "Scale Mapping and Dynamic Re-Detecting in Dense Head Detection", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451653"]}, {"id": "8a6665bfe3ad126d84414280ee2f884818560063", "title": "Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation", "addresses": [{"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8a66/65bfe3ad126d84414280ee2f884818560063.pdf"], "doi": []}, {"id": "333880ee776d57555f54935978ccb2ce13cfdb07", "title": "Person classification leveraging Convolutional Neural Network for obstacle avoidance via Unmanned Aerial Vehicles", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8101662"]}, {"id": "f30bdc22fe454a28234cf858d5bf9de94701ee7a", "title": "Adaptive NMS: Refining Pedestrian Detection in a Crowd", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03629.pdf"], "doi": []}, {"id": "976647b32fd7e1a5c8ee4a11792155903bb34e43", "title": "Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359391"]}, {"id": "66a08ff2ea7447093624632e7069e3da16961d30", "title": "An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7605450"]}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "e607b91f69ea2bff3194b07c5d22b4625bbe306e", "title": "Learning to See People Like People : Predicting Social Impressions of Faces", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e607/b91f69ea2bff3194b07c5d22b4625bbe306e.pdf"], "doi": []}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "3e667c54e848233db092b794f2cfbf47ea63b771", "title": "Combined convolutional and recurrent neural networks for hierarchical classification of images", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09574.pdf"], "doi": []}, {"id": "a5c8fc1ca4f06a344b53dc81ebc6d87f54896722", "title": "Learning to see people like people", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04282.pdf"], "doi": []}, {"id": "7a9c2524a157a6b5d0204c2f3b187cd67eb26b4c", "title": "SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478157"]}, {"id": "c7f4e18ec3a805b8aee1d3d7552364c8f5f6ca1d", "title": "An Auto-adaptive CNN for Crowd Counting in Monitor Image", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8525541"]}, {"id": "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "title": "Loss Functions for Multiset Prediction", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05246.pdf"], "doi": []}, {"id": "81ba5202424906f64b77f68afca063658139fbb2", "title": "Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09078.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "1d1a2387663cb3510d6f5c0651c1dc55e48dcabc", "title": "Joint Pedestrian and Body Part Detection via Semantic Relationship Learning", "addresses": [{"name": "Hebei University of Technology", "source_name": "Hebei University of Technology, Tianjin, P. R. China", "street_adddress": "8 Dingzigu 1st Rd, Hongqiao Qu, China, 300131", "lat": "39.17963500", "lng": "117.16588200", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing Information Science and Technology University", "source_name": "Beijing Information Science and Technology University, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u6e05\u6cb3\u56db\u62d4\u5b50", "lat": "40.04332040", "lng": "116.34181090", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1d1a/2387663cb3510d6f5c0651c1dc55e48dcabc.pdf"], "doi": []}, {"id": "91d2f0b7c23239740fa15dff0b5893b992c0ab34", "title": "Sequence-to-Segment Networks for Segment Detection", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/91d2/f0b7c23239740fa15dff0b5893b992c0ab34.pdf"], "doi": []}, {"id": "8e7c647d8e8ba726b03f7e7c5cc395f86b9de9be", "title": "Parsing Pose of People with Interaction", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e7c/647d8e8ba726b03f7e7c5cc395f86b9de9be.pdf"], "doi": []}, {"id": "2f02c1d4858d9c0f5d16099eb090560d5fa4f23f", "title": "Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545068"]}, {"id": "c43c3ec39005aaf1f0ad2f641d92f41021342217", "title": "Pedestrian Detection with Autoregressive Network Phases", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00440.pdf"], "doi": []}, {"id": "e1a784e360f2bf3911cffa30506d46c412659db5", "title": "MetaAnchor: Learning to Detect Objects with Customized Anchors", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00980.pdf"], "doi": []}, {"id": "9da3ade53bf91556fe46828b216aab20a4e72294", "title": "SNc Neuron Detection Method Based on Deep Learning for Efficacy Evaluation of Anti-PD Drugs", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431470"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "eb5780e49ad7e713e9f34cf067d45030fb29753e", "title": "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", "addresses": [{"name": "University Medical Center Utrecht", "source_name": "Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands", "street_adddress": "Vondellaan 94, 3521 GH Utrecht, Netherlands", "lat": "52.07869500", "lng": "5.11974690", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04383.pdf"], "doi": []}, {"id": "54c9343c247ce5a82bc52f83df84c2bbae737ce4", "title": "Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back. (L'apprentissage profond sur graphes attribu\u00e9s: Un voyage aller-retour aux plongements des graphes)", "addresses": [{"name": "INRIA Sophia Antipolis", "source_name": "INRIA Sophia Antipolis Meditérannée, Valbonne, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08296.pdf"], "doi": []}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}, {"id": "d54d0dc1e7ef82f3ed0ee332e0777b6d73477a8c", "title": "Sidewalk-level People Flow Estimation Using Dashboard Cameras Based on Deep Learning", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653595"]}, {"id": "9607f88fe6298f754e3f610c3a587d8e10b1b0a9", "title": "Scene Text Detection with Recurrent Instance Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545073"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "deea683731f468c7234e1089f48c4546e7003b18", "title": "Multi-Task Vehicle Detection With Region-of-Interest Voting", "addresses": [{"name": "Alibaba Group, Hangzhou, China", "source_name": "Alibaba Group, Hangzhou, China", "street_adddress": "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "lat": "30.28106540", "lng": "120.02139087", "type": "edu", "country": "China"}, {"name": "Alibaba, Hangzhou, China", "source_name": "Alibaba, Hangzhou, China", "street_adddress": "699 Wangshang Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China", "lat": "30.18996400", "lng": "120.19210000", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8066331", "http://doi.org/10.1109/TIP.2017.2762591", "https://www.ncbi.nlm.nih.gov/pubmed/29028197", "https://www.wikidata.org/entity/Q50063923"]}, {"id": "1303b3e9f4bffb87b6dd34f7849f7a57e00253d1", "title": "Point in, Box out: Beyond Counting Persons in Crowds", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01333.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "5031a110219231ceaa820725c6e77f87f7b2fde2", "title": "Training with Confusion for Fine-Grained Visual Classification", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5031/a110219231ceaa820725c6e77f87f7b2fde2.pdf"], "doi": []}, {"id": "86c158ef6caaf247d5d14e07c5edded0147df8b7", "title": "Spatial Memory for Context Reasoning in Object Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04224.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}]} \ No newline at end of file diff --git a/site/datasets/citations/cuhk_train_station.json b/site/datasets/citations/cuhk_train_station.json index 7c0346c3..380951cb 100644 --- a/site/datasets/citations/cuhk_train_station.json +++ b/site/datasets/citations/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "paper": {"key": "cuhk_train_station", "name": "CUHK Train Station Dataset", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}]}, "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "title": "Detecting and indexing moving objects for behavior analysis by video and audio interpretation. (La d\u00e9tection et l'indexation des objets en mouvement pour l'analyse du comportement par vid\u00e9o et audio interpr\u00e9tation)", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/46b7/727ffcb4dc9fc7838e59c84461a2b903038d.pdf"], "doi": []}, {"id": "90c4c8bafe50500312350e73d93eda6e63196832", "title": "Deep trajectory representation-based clustering for motion pattern extraction in videos", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://tahirnawaz.com/papers/2017_AVSS_DeepFeatureBasedTrajectoryClustering_Boyle_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078509", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078509", "http://doi.org/10.1109/AVSS.2017.8078509"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "d257a85d640e6e409f74a7074da078f343b9ec8f", "title": "ViTBAT: Video tracking and behavior annotation tool", "addresses": [{"name": "Washington University in St. Louis", "source_name": "Computer Science and Engineering, Washington University in St. Louis", "street_adddress": "One Brookings Drive, CB 1100, St. Louis, MO 63130, United States", "lat": "38.64906400", "lng": "-90.30219900", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738055"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "0b6256f1d669e6d26075e648da219dc7408797d5", "title": "Crowd behavior understanding through SIOF feature analysis", "addresses": [{"name": "Chengdu University of Information Technology", "source_name": "Chengdu University of Information Technology, Chengdu, China", "street_adddress": "24 Xuefu Rd 1st Section, \u897f\u5357\u822a\u7a7a\u6e2f\u7ecf\u6d4e\u5f00\u53d1\u533a Chengdu Shi, Sichuan Sheng, China, 610225", "lat": "30.58305300", "lng": "103.99106000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082086"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "title": "A novel approach for people counting and tracking from crowd video", "addresses": [{"name": "Yildiz Technical University", "source_name": "Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey", "street_adddress": "Y\u0131ld\u0131z Mh., 34349 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.05208610", "lng": "29.01065530", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001170"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "title": "Crowded Pedestrian Detection and Density Estimation by Visual Words Analysis", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7a47/ac0dda9e15e77d155c5ba425bbfcfad80d97.pdf"], "doi": []}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "title": "Videobasierte Rauchdetektion durch mehrfache Bewegungssch\u00e4tzung und Anpassungen f\u00fcr geringe Rauchdichten", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eeef/24e3d1d7076fd10ae4c7f028b0fa0888fb06.pdf"], "doi": []}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]} \ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "paper": {"key": "cuhk_train_station", "name": "CUHK Train Station Dataset", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}]}, "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "title": "Detecting and indexing moving objects for behavior analysis by video and audio interpretation. (La d\u00e9tection et l'indexation des objets en mouvement pour l'analyse du comportement par vid\u00e9o et audio interpr\u00e9tation)", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/46b7/727ffcb4dc9fc7838e59c84461a2b903038d.pdf"], "doi": []}, {"id": "90c4c8bafe50500312350e73d93eda6e63196832", "title": "Deep trajectory representation-based clustering for motion pattern extraction in videos", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://tahirnawaz.com/papers/2017_AVSS_DeepFeatureBasedTrajectoryClustering_Boyle_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078509", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078509", "http://doi.org/10.1109/AVSS.2017.8078509"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "d257a85d640e6e409f74a7074da078f343b9ec8f", "title": "ViTBAT: Video tracking and behavior annotation tool", "addresses": [{"name": "Washington University in St. Louis", "source_name": "Computer Science and Engineering, Washington University in St. Louis", "street_adddress": "One Brookings Drive, CB 1100, St. Louis, MO 63130, United States", "lat": "38.64906400", "lng": "-90.30219900", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738055"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "0b6256f1d669e6d26075e648da219dc7408797d5", "title": "Crowd behavior understanding through SIOF feature analysis", "addresses": [{"name": "Chengdu University of Information Technology", "source_name": "Chengdu University of Information Technology, Chengdu, China", "street_adddress": "24 Xuefu Rd 1st Section, \u897f\u5357\u822a\u7a7a\u6e2f\u7ecf\u6d4e\u5f00\u53d1\u533a Chengdu Shi, Sichuan Sheng, China, 610225", "lat": "30.58305300", "lng": "103.99106000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082086"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "title": "A novel approach for people counting and tracking from crowd video", "addresses": [{"name": "Yildiz Technical University", "source_name": "Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey", "street_adddress": "Y\u0131ld\u0131z Mh., 34349 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.05208610", "lng": "29.01065530", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001170"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "title": "Crowded Pedestrian Detection and Density Estimation by Visual Words Analysis", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7a47/ac0dda9e15e77d155c5ba425bbfcfad80d97.pdf"], "doi": []}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "title": "Videobasierte Rauchdetektion durch mehrfache Bewegungssch\u00e4tzung und Anpassungen f\u00fcr geringe Rauchdichten", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eeef/24e3d1d7076fd10ae4c7f028b0fa0888fb06.pdf"], "doi": []}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]} \ No newline at end of file diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv index 5903495d..e3448b46 100644 --- a/site/datasets/citations/datasets.csv +++ b/site/datasets/citations/datasets.csv @@ -44,7 +44,7 @@ bosphorus,The Bosphorus,,3545,352 bp4d_plus,BP4D+,,196000000,42 bp4d_spontanous,BP4D-Spontanous,,"(None,)",154 bpad,BPAD,,8035,230 -brainwash,Brainwash,,11917,42 +brainwash,Brainwash,,11917,67 bu_3dfe,BU-3DFE,,10000,588 caltech_10k_web_faces,Caltech 10K Web Faces,,7092,63 caltech_crp,Caltech CRP,,77450,17 diff --git a/site/datasets/citations/duke_mtmc.json b/site/datasets/citations/duke_mtmc.json index 247bcd03..8bc0c150 100644 --- a/site/datasets/citations/duke_mtmc.json +++ b/site/datasets/citations/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}]}, "citations": [{"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "addresses": [{"name": "Pierre and Marie Curie University", "source_name": "Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}, {"name": "Huaiyin Institute of Technology, Huaian, China", "source_name": "Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China", "street_adddress": "1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002", "lat": "33.54910060", "lng": "119.03570600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "addresses": [{"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "addresses": [{"name": "SenseNets Corporation, Shenzhen, China", "source_name": "Center of Research and Development, SenseNets Corporation, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "addresses": [{"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology, Weihai", "source_name": "Harbin Institute of Technology at Weihai, Weihai, China", "street_adddress": "2 Wenhua W Rd, Huancui Qu, Weihai Shi, Shandong Sheng, China, 264200", "lat": "37.53030100", "lng": "122.08039900", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "XiHua University", "source_name": "XiHua University, Cheng Du", "street_adddress": "Pixian, Chengdu, China", "lat": "30.77862100", "lng": "103.96123600", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "company", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "addresses": [{"name": "Huazhong Univ. of Science and Technology, China", "source_name": "Huazhong Univ. of Science and Technology, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "title": "Wardrobe Model for Long Term Re-identification and Appearance Prediction", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639157"]}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "fb5ae9c218fab5582014d9834d371054e947b9a8", "title": "Identification of pedestrian attributes using deep network", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217493"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "addresses": [{"name": "Senstar Corporation, Waterloo, Canada", "source_name": "Senstar Corporation, Waterloo, Canada", "street_adddress": "595 Parkside Dr, Waterloo, ON N2L 0C7, Canada", "lat": "43.49835030", "lng": "-80.54783820", "type": "company", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "addresses": [{"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "addresses": [{"name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "source_name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Modena", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "e8d16a83e6cb5757523a401bbc338651b5644e26", "title": "Selvamicin, an atypical antifungal polyene from two alternative genomic contexts.", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e8d1/6a83e6cb5757523a401bbc338651b5644e26.pdf"], "doi": []}, {"id": "984eb7e0bdb3cdb3d0ace81c7b182d4917b76efc", "title": "STTR: A System for Tracking All Vehicles All the Time At the Edge of the Network", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210291"]}, {"id": "0c0e26737fbc27d2dc7aab58783b155b009a06cf", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "b3c9b2516d014bc31f859572eda06d135cbcf75e", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "1e3cb57830fde3bb588acbe2784b01e922f031b0", "title": "Pedestrian re-identification based on Tree branch network with local and global learning", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00355.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "29441eac7f2e139ee2771c7bdf9d23191256a461", "title": "Secure Face Unlock: Spoof Detection on Smartphones", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487030"]}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "title": "NormFace: L2 Hypersphere Embedding for Face Verification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06369.pdf"], "doi": []}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "17829aec0f06dc8f45f417e667e3d92eeba923dc", "title": "CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09254.pdf"], "doi": []}, {"id": "cb0a43e76521c57caad5b6e9b1cce6ce0e81824e", "title": "Progressive Learning for Person Re-Identification With One Example", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8607049"]}, {"id": "d36ec4906c9457a43f66f1e1f4c0b6342709541c", "title": "Deep Metric Learning with Online Hard and Soft Selection for Person Re-identification", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641037"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "040c0612e0f006fa93f140ccb97b9738efcf74a5", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "1ba61a4fedc217f7bd052d1b2904567c9985dc44", "title": "Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Narayan_Person_Re-Identification_for_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/MPMCT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014818", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.84", "http://doi.org/10.1109/CVPRW.2017.84"]}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}, {"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "fc2d509a5aae61806feffefe11f23926e834dd39", "title": "Deep MIML Network", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fc2d/509a5aae61806feffefe11f23926e834dd39.pdf"], "doi": []}, {"id": "f8c4959ca67846d0c08f371ee884bb8a0845af1e", "title": "Enhancing Model Performance of Person Re-Indentification on Unknown Target Domain", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663745"]}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "4ba1fd0aef931741f9e7d5711f2a652f76771937", "title": "Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2016/MMM2016_ID65_hwx.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-27671-7_15"]}, {"id": "244293024aebbb0ff42a7cf2ba49b1164697a127", "title": "Multiscale representation for partial face recognition under near infrared illumination", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791187", "http://doi.org/10.1109/BTAS.2016.7791187"]}, {"id": "9a433055551c1f5c670f2a69a57f6aad3a5810d9", "title": "A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03425.pdf"], "doi": []}, {"id": "427aee2aaf7d2d67738b046aea2782f9b8892c68", "title": "Deep Constrained Dominant Sets for Person Re-identification", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11397.pdf"], "doi": []}, {"id": "9bd0e9736478c15585fbc7eab6c597a917627a98", "title": "Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611378"]}, {"id": "59a4cec1afb2804eeff1774c4eb315701443af76", "title": "Relation-Aware Global Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02998.pdf"], "doi": []}, {"id": "4303c361832bfc9cb5adf43d9d9b363077d0ddd9", "title": "Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551541"]}, {"id": "f12e2888e6db23433166db72ff77c448cb6845e8", "title": "GLAD: Global\u2013Local-Alignment Descriptor for Scalable Person Re-Identification", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466034"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}]} \ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}]}, "citations": [{"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "addresses": [{"name": "Pierre and Marie Curie University", "source_name": "Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}, {"name": "Huaiyin Institute of Technology, Huaian, China", "source_name": "Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China", "street_adddress": "1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002", "lat": "33.54910060", "lng": "119.03570600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "addresses": [{"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "addresses": [{"name": "SenseNets Corporation, Shenzhen, China", "source_name": "Center of Research and Development, SenseNets Corporation, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "addresses": [{"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology, Weihai", "source_name": "Harbin Institute of Technology at Weihai, Weihai, China", "street_adddress": "2 Wenhua W Rd, Huancui Qu, Weihai Shi, Shandong Sheng, China, 264200", "lat": "37.53030100", "lng": "122.08039900", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "XiHua University", "source_name": "XiHua University, Cheng Du", "street_adddress": "Pixian, Chengdu, China", "lat": "30.77862100", "lng": "103.96123600", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "company", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "addresses": [{"name": "Huazhong Univ. of Science and Technology, China", "source_name": "Huazhong Univ. of Science and Technology, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "title": "Wardrobe Model for Long Term Re-identification and Appearance Prediction", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639157"]}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "fb5ae9c218fab5582014d9834d371054e947b9a8", "title": "Identification of pedestrian attributes using deep network", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217493"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "addresses": [{"name": "Senstar Corporation, Waterloo, Canada", "source_name": "Senstar Corporation, Waterloo, Canada", "street_adddress": "595 Parkside Dr, Waterloo, ON N2L 0C7, Canada", "lat": "43.49835030", "lng": "-80.54783820", "type": "company", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "addresses": [{"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "addresses": [{"name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "source_name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Modena", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "74bfaacd4e86a1304d2b5e7340591cffb38d84dd", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "e8d16a83e6cb5757523a401bbc338651b5644e26", "title": "Selvamicin, an atypical antifungal polyene from two alternative genomic contexts.", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e8d1/6a83e6cb5757523a401bbc338651b5644e26.pdf"], "doi": []}, {"id": "984eb7e0bdb3cdb3d0ace81c7b182d4917b76efc", "title": "STTR: A System for Tracking All Vehicles All the Time At the Edge of the Network", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210291"]}, {"id": "0c0e26737fbc27d2dc7aab58783b155b009a06cf", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "b3c9b2516d014bc31f859572eda06d135cbcf75e", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "1e3cb57830fde3bb588acbe2784b01e922f031b0", "title": "Pedestrian re-identification based on Tree branch network with local and global learning", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00355.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "15a8f978e54049fe5727bbc0a6098bc6abbab4e2", "title": "Avion 1974-12-09", "addresses": [{"name": "Embry-Riddle Aeronautical University", "source_name": "Embry-Riddle Aeronautical University, Prescott, AZ, USA", "street_adddress": "3700 Willow Creek Rd, Prescott, AZ 86301, USA", "lat": "34.61610420", "lng": "-112.45077110", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a8/f978e54049fe5727bbc0a6098bc6abbab4e2.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "5f12ca6b863b5bc28f58443ba2b70a102af965bd", "title": "Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09776.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "05f9d47bcc438ffcd4efcc5d77792a7b1984342a", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "29441eac7f2e139ee2771c7bdf9d23191256a461", "title": "Secure Face Unlock: Spoof Detection on Smartphones", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487030"]}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "title": "NormFace: L2 Hypersphere Embedding for Face Verification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06369.pdf"], "doi": []}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "17829aec0f06dc8f45f417e667e3d92eeba923dc", "title": "CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09254.pdf"], "doi": []}, {"id": "cb0a43e76521c57caad5b6e9b1cce6ce0e81824e", "title": "Progressive Learning for Person Re-Identification With One Example", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8607049"]}, {"id": "123478b496a3fa39a9043ccaa660e81c473a14e9", "title": "A Bottom-Up Clustering Approach to Unsupervised Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1234/78b496a3fa39a9043ccaa660e81c473a14e9.pdf"], "doi": []}, {"id": "d36ec4906c9457a43f66f1e1f4c0b6342709541c", "title": "Deep Metric Learning with Online Hard and Soft Selection for Person Re-identification", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641037"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "afc01c33b7dd9de9e5c84c063aaccc4e0c839e74", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "040c0612e0f006fa93f140ccb97b9738efcf74a5", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "1ba61a4fedc217f7bd052d1b2904567c9985dc44", "title": "Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Narayan_Person_Re-Identification_for_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/MPMCT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014818", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.84", "http://doi.org/10.1109/CVPRW.2017.84"]}, {"id": "8fbb73bc6fb74e119b5fdf02482fa90afb7e443e", "title": "Parts Semantic Segmentation Aware Representation Learning for Person Re-Identification", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}, {"name": "Tianjin University of Technology", "source_name": "Tianjin University of Technology, China", "street_adddress": "Xiqing, China", "lat": "39.06100400", "lng": "117.14202300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8fbb/73bc6fb74e119b5fdf02482fa90afb7e443e.pdf"], "doi": []}, {"id": "57c144f668d11ef7e2c89fdfcf67341a4733dd64", "title": "Unlabeled images Auxiliary reference person images Backbone ResNet \u2010 50 Reference learning", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/57c1/44f668d11ef7e2c89fdfcf67341a4733dd64.pdf"], "doi": []}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "65510920d60f23faae27e073c11e4f037c538067", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}, {"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "b9cc54c5f94371cfc8e79179c20ec559a1a43cbb", "title": "Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01990.pdf"], "doi": []}, {"id": "fc2d509a5aae61806feffefe11f23926e834dd39", "title": "Deep MIML Network", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fc2d/509a5aae61806feffefe11f23926e834dd39.pdf"], "doi": []}, {"id": "f8c4959ca67846d0c08f371ee884bb8a0845af1e", "title": "Enhancing Model Performance of Person Re-Indentification on Unknown Target Domain", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663745"]}, {"id": "b350b567b13ab2b7ba94159767a41917fc38a2cb", "title": "Bag of Tricks and A Strong Baseline for Deep Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07071.pdf"], "doi": []}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "4ba1fd0aef931741f9e7d5711f2a652f76771937", "title": "Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2016/MMM2016_ID65_hwx.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-27671-7_15"]}, {"id": "244293024aebbb0ff42a7cf2ba49b1164697a127", "title": "Multiscale representation for partial face recognition under near infrared illumination", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791187", "http://doi.org/10.1109/BTAS.2016.7791187"]}, {"id": "4c903009e7b963f1cd4f02482ea4b242d71e8058", "title": "Camera Adversarial Transfer for Unsupervised Person Re-Identification", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01308.pdf"], "doi": []}, {"id": "9a433055551c1f5c670f2a69a57f6aad3a5810d9", "title": "A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03425.pdf"], "doi": []}, {"id": "427aee2aaf7d2d67738b046aea2782f9b8892c68", "title": "Deep Constrained Dominant Sets for Person Re-identification", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11397.pdf"], "doi": []}, {"id": "9bd0e9736478c15585fbc7eab6c597a917627a98", "title": "Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611378"]}, {"id": "59a4cec1afb2804eeff1774c4eb315701443af76", "title": "Relation-Aware Global Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02998.pdf"], "doi": []}, {"id": "4303c361832bfc9cb5adf43d9d9b363077d0ddd9", "title": "Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551541"]}, {"id": "f12e2888e6db23433166db72ff77c448cb6845e8", "title": "GLAD: Global\u2013Local-Alignment Descriptor for Scalable Person Re-Identification", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466034"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/helen.json b/site/datasets/citations/helen.json index 0012eb77..5d24cd89 100644 --- a/site/datasets/citations/helen.json +++ b/site/datasets/citations/helen.json @@ -1 +1 @@ -{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "paper": {"key": "helen", "name": "Helen", "title": "Interactive Facial Feature Localization", "year": "2012", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}]}, "citations": [{"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "8875dcf2836315839741fd6944f249263408c27f", "title": "Facial landmark detection via self-adaption model and multi-task feature learning", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877807"]}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "title": "A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3062182"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure Detection for Facial Landmark Detectors", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06451.pdf"], "doi": []}, {"id": "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "title": "Improving Facial Attribute Prediction Using Semantic Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08740.pdf"], "doi": []}, {"id": "d32b155138dafd0a9099980eceec6081ab51b861", "title": "Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03459.pdf"], "doi": []}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "f070d739fb812d38571ec77490ccd8777e95ce7a", "title": "Hierarchical facial landmark localization via cascaded random binary patterns", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://zhzhanp.github.io/papers/PR2015.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.09.007", "https://doi.org/10.1016/j.patcog.2014.09.007"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "5721cd4b898f0e7df8de1e0215f630af94656be9", "title": "Retouch transfer for 3D printed face replica with automatic alignment", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095164"]}, {"id": "9aade3d26996ce7ef6d657130464504b8d812534", "title": "Face Alignment With Deep Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7728148", "http://doi.org/10.1109/TNNLS.2016.2618340", "https://www.ncbi.nlm.nih.gov/pubmed/27831893", "https://www.wikidata.org/entity/Q50550490"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "title": "Simultaneous Cascaded Regression", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018.pdf", "http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451313", "http://doi.org/10.1109/ICIP.2018.8451313"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "addresses": [{"name": "IBM Research T. J. Watson Center", "source_name": "IBM Research T. J. Watson Center, U.S.A", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416197", "http://doi.org/10.1109/LSP.2016.2533721"]}, {"id": "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "title": "Deep Feature Interpolation for Image Content Changes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "George Washington University", "source_name": "George Washington University, USA", "street_adddress": "2121 I St NW, Washington, DC 20052, USA", "lat": "38.89971450", "lng": "-77.04859920", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05507.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "5df17c81c266cf2ebb0778e48e825905e161a8d9", "title": "A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389408", "http://doi.org/10.1109/TMM.2016.2520091"]}, {"id": "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "title": "Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06598.pdf"], "doi": []}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "95e3b78eb4d5b469f66648ed4f37e45e0e01e63e", "title": "Facial point localization via neural networks in a cascade regression framework", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4261-x", "https://doi.org/10.1007/s11042-016-4261-x"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "title": "Real-time face alignment enhancement by tracking", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866457", "http://doi.org/10.1109/ROBIO.2016.7866457"]}, {"id": "b3f18013079e0535dcda045ac5145c201287aec3", "title": "Multi-Label Dilated Recurrent Network for Sequential Face Alignment", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486438", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486438", "http://doi.org/10.1109/ICME.2018.8486438"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961805", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.84", "http://doi.org/10.1109/FG.2017.84"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "title": "Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451200", "http://doi.org/10.1109/ICIP.2018.8451200"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"], "doi": []}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "title": "Semantic facial description via axiomatic Fuzzy Set based clustering", "addresses": [{"name": "Shenyang Aerospace University", "source_name": "College of Automation, Shenyang Aerospace University, China", "street_adddress": "Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016", "lat": "41.76538300", "lng": "123.41744800", "type": "edu", "country": "China"}, {"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382037", "http://doi.org/10.1109/FSKD.2015.7382037"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "837e99301e00c2244023a8a48ff98d7b521c93ac", "title": "Local Feature Evaluation for a Constrained Local Model Framework", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b7b7/4e0ec15c22e1c94406c592bbb83c8e865f52.pdf"], "doi": []}, {"id": "30f6c4bd29b9a8c94f37f3818cf6145c1507826f", "title": "The research of facial features localization based on posterior probability deformable model", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7237861"]}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "4b936847f39094d6cb0bde68cea654d948c4735d", "title": "Face alignment under occlusion based on local and global feature regression", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3470-7", "https://doi.org/10.1007/s11042-016-3470-7"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "992ebd81eb448d1eef846bfc416fc929beb7d28b", "title": "Exemplar-Based Face Parsing Supplementary Material", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/992e/bd81eb448d1eef846bfc416fc929beb7d28b.pdf"], "doi": []}, {"id": "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "title": "Face Completion with Semantic Knowledge and Collaborative Adversarial Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03252.pdf"], "doi": []}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "21f5f65e832c5472d6d08f6ee280d65ff0202e29", "title": "Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and Machine-Learning-Based Approaches", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_44"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "b87b0fa1ac0aad0ca563844daecaeecb2df8debf", "title": "Non-photorealistic rendering of portraits", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2811249"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532567", "http://doi.org/10.1109/ICIP.2016.7532567"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "52d6740dbed1dc39601e5badec0b56021dd6ea5d", "title": "Dynamic Facial Expression Synthesis Driven by Deformable Semantic Parts", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545831"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "e69a765d033ef6ea55c57ca41c146b27964c5cf2", "title": "A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050764", "http://doi.org/10.1109/ISCAS.2017.8050764"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "addresses": [{"name": "CASIA, China", "source_name": "CASIA, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "title": "Effective face landmark localization via single deep network", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02719.pdf"], "doi": []}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "LITIS, Universit\u00e9 de Rouen, Rouen, France", "source_name": "LITIS, Université de Rouen, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"name": "Moulay Ismail University", "source_name": "Moulay Ismail University", "street_adddress": "Marjane 2, BP: 298\u060c Meknes 50050, Morocco", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu", "country": "Morocco"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805097", "http://doi.org/10.1109/CIST.2016.7805097"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "4836b084a583d2e794eb6a94982ea30d7990f663", "title": "Cascaded Face Alignment via Intimacy Definition Feature", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06642.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"], "doi": []}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "fd809ee36fa6832dda57a0a2403b4b52c207549d", "title": "A fully annotated thermal face database and its application for thermal facial expression recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409768"]}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "bab2f4949a38a712a78aafbc0a3c392227c65f56", "title": "Eye detection using gradient histogram matching for cornea localization in refractive eye surgery", "addresses": [{"name": "Southern Taiwan University of Science and Technology", "source_name": "Southern Taiwan University of Science and Technology, Tainan City, Taiwan", "street_adddress": "No. 1\u865f, Nantai Street, Yongkang District, Tainan City, Taiwan 71005", "lat": "23.02545480", "lng": "120.22648860", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302191", "http://doi.org/10.1109/CISP-BMEI.2017.8302191"]}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "11fc332bdcc843aad7475bb4566e73a957dffda5", "title": "SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03356.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "696236fb6f986f6d5565abb01f402d09db68e5fa", "title": "Learning adaptive receptive fields for deep image parsing networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Learning_Adaptive_Receptive_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wei_Learning_Adaptive_Receptive_2017_CVPR_supplemental.pdf"], "doi": ["http://doi.org/10.1007/s41095-018-0112-1", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.420", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099903", "https://doi.org/10.1007/s41095-018-0112-1"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Jiaotong University", "source_name": "Jiaotong University, China", "street_adddress": "Jiaotong University, China, 200000", "lat": "31.19884000", "lng": "121.43256700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "title": "Complex representations for learning statistical shape priors", "addresses": [{"name": "Amazon Research, Berlin", "source_name": "Amazon Research, Berlin, Germany", "street_adddress": "Krausenstra\u00dfe 38, 10117 Berlin, Germany", "lat": "52.50986860", "lng": "13.39845130", "type": "company", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347043.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eusipco_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081394", "http://doi.org/10.23919/EUSIPCO.2017.8081394", "https://doi.org/10.23919/EUSIPCO.2017.8081394"]}, {"id": "1fb980e137b2c9f8781a0d98c026e164b497ddb1", "title": "GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User", "addresses": [{"name": "LMU Munich, Germany", "source_name": "LMU Munich, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Germany and Munich University of Applied Sciences", "source_name": "LMU Munich, Germany and Munich University of Applied Sciences, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3213539"]}, {"id": "2a84f7934365f05b6707ea0ac225210f78e547af", "title": "A joint facial point detection method of deep convolutional network and shape regression", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899690", "http://doi.org/10.1109/ICPR.2016.7899690"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "6ba6045e4b404c44f9b4dfce2d946019f0e85a72", "title": "Facial landmark detection based on an ensemble of local weighted regressors during real driving situation", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899962", "http://doi.org/10.1109/ICPR.2016.7899962"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "266cb58a82ce44ce8f0cffbfa89e44227096f424", "title": "Assessment for facial nerve paralysis based on facial asymmetry", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13246-017-0597-4", "https://www.ncbi.nlm.nih.gov/pubmed/29090419"]}, {"id": "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "title": "Disentangling the Modes of Variation in Unlabelled Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/disentangling-modes-variation.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8214214", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2783940", "http://doi.org/10.1109/TPAMI.2017.2783940", "https://www.ncbi.nlm.nih.gov/pubmed/29990016"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "The University of Texas at Arlington", "source_name": "The University of Texas at Arlington", "street_adddress": "701 W Nedderman Dr, Arlington, TX 76019, USA", "lat": "32.72987180", "lng": "-97.11401160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"], "doi": []}, {"id": "12095f9b35ee88272dd5abc2d942a4f55804b31e", "title": "DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild R\u0131za", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1209/5f9b35ee88272dd5abc2d942a4f55804b31e.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc", "title": "A comparison of facial landmark detection methods", "addresses": [{"name": "Marmara University, Istanbul, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Marmara \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "E\u011fitim Mahallesi, Marmara \u00dcniversitesi M\u00fchendislik Fak\u00fcltesi G\u00f6ztepe Kamp\u00fcs\u00fc, 34722 Kad\u0131k\u00f6y/\u0130stanbul, Turkey", "lat": "40.98690400", "lng": "29.05309810", "type": "edu", "country": "Turkey"}, {"name": "Trakya University, Edirne, Turkey", "source_name": "Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Trakya \u00dcniversitesi, Edirne, T\u00fcrkiye", "street_adddress": "Edirne, Edirne Merkez/Edirne, Turkey", "lat": "41.67712970", "lng": "26.55571450", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404357", "http://doi.org/10.1109/SIU.2018.8404357", "https://doi.org/10.1109/SIU.2018.8404357"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "766728bac030b169fcbc2fbafe24c6e22a58ef3c", "title": "A survey of deep facial landmark detection", "addresses": [{"name": "Universit\u00e9 Clermont Auvergne", "source_name": "Universit\u00e9 Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7667/28bac030b169fcbc2fbafe24c6e22a58ef3c.pdf"], "doi": []}, {"id": "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "title": "Automatic construction Of robust spherical harmonic subspaces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_spherical_harmonics.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298604", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298604", "http://doi.org/10.1109/CVPR.2015.7298604"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06627.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "995d55fdf5b6fe7fb630c93a424700d4bc566104", "title": "The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410537", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.180", "http://doi.org/10.1109/ICCV.2015.180"]}, {"id": "f354cd137fdc40a3ff6a4004f2a052966c275627", "title": "Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining", "addresses": [{"name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies", "source_name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s12559-017-9530-0"]}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "addresses": [{"name": "Institute of Automation Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 3rd St, \u4e2d\u5173\u6751", "lat": "39.97945600", "lng": "116.32845670", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551684"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.02137.pdf"], "doi": []}, {"id": "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "title": "ReenactGAN: Learning to Reenact Faces via Boundary Transfer", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11079.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0", "title": "Driver Facial Landmark Detection in Real Driving Situations", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}, {"name": "Hanbat National University", "source_name": "Instrumentation Engineering, Hanbat National University, Daejeon, Korea", "street_adddress": "125 Dongseo-daero, Deogmyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.35078000", "lng": "127.30119810", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094282", "http://doi.org/10.1109/TCSVT.2017.2769096"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "f1a58bb78149f408471ce166a13cd9176e5edc5b", "title": "Facial Landmark Extraction Scheme Based on Semantic Segmentation", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472730"]}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "title": "Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "Computer Vision Center, UAB, Barcelona, Spain", "source_name": "Computer Vision Center, UAB, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf", "http://sergioescalera.com/wp-content/uploads/2015/07/CVPR2015MoeslundSlides.pdf", "http://vbn.aau.dk/files/210011403/PID3686207.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301341", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301341", "http://doi.org/10.1109/CVPRW.2015.7301341"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "f2d5bb329c09a5867045721112a7dad82ca757a3", "title": "Towards more efficient and flexible face image deblurring using robust salient face landmark detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3009-3", "https://doi.org/10.1007/s11042-015-3009-3"]}, {"id": "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "title": "Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}, {"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "street_adddress": "Messina, Province of Messina, Italy", "lat": "38.19373350", "lng": "15.55420570", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8207589", "http://doi.org/10.1109/TCDS.2017.2783684"]}, {"id": "1966055f13a7475100d18843f85717f312511805", "title": "CG Benefited Driver Facial Landmark Localization Across Large Rotation", "addresses": [{"name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "source_name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "street_adddress": "Binhai, Yancheng, Jiangsu, China", "lat": "33.99033400", "lng": "119.82083000", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500537", "http://doi.org/10.1109/IVS.2018.8500537"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "f25aa838fb44087668206bf3d556d31ffd75235d", "title": "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", "addresses": [{"name": "Villanova University", "source_name": "Villanova University", "street_adddress": "Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA", "lat": "40.03677740", "lng": "-75.34202332", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912038"]}, {"id": "2d1757eb136e9e7ce79363e7acd76d67a053b727", "title": "A Coarse-to-Fine Face Hallucination Method by Exploiting Facial Prior Knowledge", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451122"]}, {"id": "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "title": "Generative Face Completion", "addresses": [{"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05838.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031057", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2750687", "http://doi.org/10.1109/TPAMI.2017.2750687", "https://www.ncbi.nlm.nih.gov/pubmed/28910758"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5810ce61fda464d4de2769bd899e12727bee0382", "title": "Smile detection using Pair-wise Distance Vector and Extreme Learning Machine", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727484", "http://doi.org/10.1109/IJCNN.2016.7727484"]}, {"id": "80ed678ef28ccc1b942e197e0393229cd99d55c8", "title": "Face recognition based on Kinect", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0456-4", "https://doi.org/10.1007/s10044-015-0456-4"]}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "8c048be9dd2b601808b893b5d3d51f00907bdee0", "title": "Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics", "addresses": [{"name": "Christian-Albrechts University", "source_name": "Christian-Albrechts University, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "United States"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1600041"]}, {"id": "9048732c8591a92a1f4f589b520a733f07578f80", "title": "Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301921", "http://doi.org/10.1109/CISP-BMEI.2017.8301921"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "cad2bd940e7580490da9cc739e597d029e166504", "title": "Salient-points-guided face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0555-8"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "88d63a0cc0b8a5303bdef286d6df118bb1d44d26", "title": "Real-time mimicking of estonian speaker's mouth movements on a 3D avatar using Kinect 2", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7354513", "http://doi.org/10.1109/ICTC.2015.7354513"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "ba21fd28003994480f713b0a1276160fea2e89b5", "title": "Identification of Individuals from Ears in Real World Conditions", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba21/fd28003994480f713b0a1276160fea2e89b5.pdf"], "doi": []}, {"id": "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "title": "A fast Cascade Shape Regression Method based on CNN-based Initialization", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546058", "http://doi.org/10.1109/ICPR.2018.8546058"]}, {"id": "08ecc281cdf954e405524287ee5920e7c4fb597e", "title": "Computational Assessment of Facial Expression Production in ASD Children", "addresses": [{"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08ec/c281cdf954e405524287ee5920e7c4fb597e.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "f20ed84abcb1223f351a576ef10dfda9f277326b", "title": "Face recognition based on LBPH and regression of Local Binary features", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846668"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "a7a3ec1128f920066c25cb86fbc33445ce613919", "title": "Joint facial landmark detection and action estimation based on deep probabilistic random forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305115", "http://doi.org/10.1109/VCIP.2017.8305115"]}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "771a6a80dd08212d83a4e976522e1ce108881401", "title": "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820979", "http://doi.org/10.1109/IPTA.2016.7820979"]}, {"id": "7eb85bcb372261bad707c05e496a09609e27fdb3", "title": "A Compute-Efficient Algorithm for Robust Eyebrow Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W17/papers/Sathyanarayana_A_Compute-Efficient_Algorithm_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910051", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.101", "http://doi.org/10.1109/CVPRW.2014.101"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "3bc376f29bc169279105d33f59642568de36f17f", "title": "Active shape models with SIFT descriptors and MARS", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["http://www.dip.ee.uct.ac.za/~nicolls/publish/sm14-visapp.pdf", "http://www.milbo.org/stasm-files/active-shape-models-with-sift-and-mars.pdf", "http://www.scitepress.org/Papers/2014/46800/46800.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294955", "http://doi.org/10.5220/0004680003800387"]}, {"id": "21a2f67b21905ff6e0afa762937427e92dc5aa0b", "title": "Extra Facial Landmark Localization via Global Shape Reconstruction", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28512467", "http://doi.org/10.1155/2017%2F8710492", "https://www.wikidata.org/entity/Q33645492"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"name": "NTT Corporation, Atsugi, Japan", "source_name": "NTT Corporation, Atsugi, Japan", "street_adddress": "3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "company", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967236"]}, {"id": "11ba01ce7d606bab5c2d7e998c6d94325521b8a0", "title": "Regression based landmark estimation and multi-feature fusion for visual speech recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350911", "http://doi.org/10.1109/ICIP.2015.7350911"]}, {"id": "7d1688ce0b48096e05a66ead80e9270260cb8082", "title": "Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors", "addresses": [{"name": "Otto von Guericke University", "source_name": "Otto von Guericke University", "street_adddress": "Otto-von-Guericke-Universit\u00e4t Magdeburg, 2, Universit\u00e4tsplatz, Kr\u00f6kentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland", "lat": "52.14005065", "lng": "11.64471248", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w44/Saxen_Real_vs._Fake_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265574", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.363", "http://doi.org/10.1109/ICCVW.2017.363"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "4848a48a2b8bacd2092e87961cd86818da8e7151", "title": "Comparative evaluation of facial fiducial point detection approaches", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305080", "http://doi.org/10.1109/VCIP.2017.8305080"]}, {"id": "51b42da0706a1260430f27badcf9ee6694768b9b", "title": "Shape initialization without ground truth for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001278.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471882", "http://doi.org/10.1109/ICASSP.2016.7471882", "https://doi.org/10.1109/ICASSP.2016.7471882"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "aa4af9b3811db6a30e1c7cc1ebf079078c1ee152", "title": "Deformable part models with CNN features for facial landmark detection under occlusion", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3129451"]}, {"id": "4e3b71b1aa6b6cb7aa55843d2214441f0076fe69", "title": "Colour-based lips segmentation method using artificial neural networks", "addresses": [{"name": "Mutah University", "source_name": "Mutah University, Karak, Jordan, 61710", "street_adddress": "Street\u060c Mu'tah, Jordan", "lat": "31.09365620", "lng": "35.71737420", "type": "edu", "country": "Jordan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7103225"]}, {"id": "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "title": "Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01453.pdf"], "doi": []}, {"id": "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "title": "Online Eye Status Detection in the Wild with Convolutional Neural Networks", "addresses": [{"name": "University of Central Lancashire", "source_name": "ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.", "street_adddress": "Fylde Rd, Preston PR1 2HE, UK", "lat": "53.76413780", "lng": "-2.70924530", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ef52/f1e2b52fd84a7e22226ed67132c6ce47b829.pdf"], "doi": []}, {"id": "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "title": "Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/287b/7baff99d6995fd5852002488eb44659be6c1.pdf"], "doi": []}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"name": "Firat University", "source_name": "Firat University", "street_adddress": "Erzincan \u00dcniversitesi Hukuk Fak\u00fcltesi Dekanl\u0131\u011f\u0131, Sivas-Erzincan yolu, \u00dc\u00e7konak, Erzincan, Erzincan merkez, Erzincan, Do\u011fu Anadolu B\u00f6lgesi, 24000, T\u00fcrkiye", "lat": "39.72750370", "lng": "39.47127034", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "title": "Facial landmark detection via pose-induced auto-encoder networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351174", "http://doi.org/10.1109/ICIP.2015.7351174"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "d68dbb71b34dfe98dee0680198a23d3b53056394", "title": "VIVA Face-off Challenge : Dataset Creation and Balancing Privacy", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d68d/bb71b34dfe98dee0680198a23d3b53056394.pdf"], "doi": []}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "title": "Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"], "doi": []}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "title": "A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09058.pdf"], "doi": []}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "1f9ae272bb4151817866511bd970bffb22981a49", "title": "An Iterative Regression Approach for Face Pose Estimation from RGB Images", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03170.pdf"], "doi": []}, {"id": "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "title": "Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://doc.utwente.nl/103789/1/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf", "http://eprints.eemcs.utwente.nl/27574/01/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0950-1", "https://doi.org/10.1007/s11263-016-0950-1"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Gannan Normal University", "source_name": "Gannan Normal University, Ganzhou, China", "street_adddress": "Shangxue S Ave, Zhanggong Qu, Ganzhou Shi, Jiangxi Sheng, China", "lat": "25.79552400", "lng": "114.88722700", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006729", "http://doi.org/10.1109/TIP.2015.2390976", "https://www.ncbi.nlm.nih.gov/pubmed/25594969", "https://www.wikidata.org/entity/Q48687759"]}, {"id": "1fe1a78c941e03abe942498249c041b2703fd3d2", "title": "Face alignment based on improved shape searching", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393355", "http://doi.org/10.1109/FSKD.2017.8393355", "https://doi.org/10.1109/FSKD.2017.8393355"]}, {"id": "b7043048b4ba748c9c6317b6d8206192c34f57ff", "title": "Shaping datasets: Optimal data selection for specific target distributions across dimensions", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533061", "http://doi.org/10.1109/ICIP.2016.7533061"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "46b2ecef197b465abc43e0e017543b1af61921ac", "title": "Face alignment with Cascaded Bidirectional LSTM Neural Networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899652", "http://doi.org/10.1109/ICPR.2016.7899652"]}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "8633732d9f787f8497c2696309c7d70176995c15", "title": "Multi-objective convolutional learning for face labeling", "addresses": [{"name": "Baidu Research, USA", "source_name": "Baidu Research, USA", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_face_labeling.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr15_facel_labeling_supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298967", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298967", "http://doi.org/10.1109/CVPR.2015.7298967"]}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "33ad23377eaead8955ed1c2b087a5e536fecf44e", "title": "Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://people.cs.umass.edu/~elm/papers/GLOC.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c019.pdf", "http://vis-www.cs.umass.edu/papers/gloc_cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Kae_Augmenting_CRFs_with_2013_CVPR_paper.pdf", "https://people.cs.umass.edu/~elm/Teaching/670_F13/Kae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619107", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.263", "http://doi.org/10.1109/CVPR.2013.263"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "410ba5b3f4af7c92d3d368faad7a1cc482a7bb70", "title": "Face Detection and Recognition in Color Images under Matlab", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/410b/a5b3f4af7c92d3d368faad7a1cc482a7bb70.pdf"], "doi": []}, {"id": "2a31b4bf2a294b6e67956a6cd5ed6d875af548e0", "title": "Learning Affinity via Spatial Propagation Networks", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01020.pdf"], "doi": []}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "12b3c87b3cb353ec88810c253e986b0e1da17033", "title": "A Novel Face Attribute Segmentation Algorithm", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695576"]}, {"id": "fed318f6ef238a23a51e1384dff8d49e7319ba13", "title": "Top-down sampling convolution network for face segmentation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322867"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "136f92989e982ecf795cb27d65b48464eaec9323", "title": "Joint face alignment and segmentation via deep multi-task learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5609-1"]}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "1ad551c144b05e3aff76e496bccb7943dfa6c50c", "title": "Interactive Tracking for Robot-Assisted Autism Therapy", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Worcester Polytechnic Institute, Worcester, MA, USA", "source_name": "Worcester Polytechnic Institute, Worcester, MA, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3038390"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "385cae408bae950fb5e5ef501bfb6821fa3a9fbe", "title": "Robust face alignment with cascaded coarse-to-fine auto-encoder network", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296527"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "074b6fe0cc6848fb86a6703d1c52074494177c79", "title": "CyCADA: Cycle-Consistent Adversarial Domain Adaptation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03213.pdf"], "doi": []}, {"id": "040af4f3d27947125b7c2ec9935a90023e827b3e", "title": "Enhancing Facial Component Analysis", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3305174"]}, {"id": "f4395f44d9d591aee301d94c7459c5840996f9c8", "title": "Hands and Faces, Fast: Mono-Camera User Detection Robust Enough to Directly Control a UAV in Flight", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593709"]}, {"id": "1ca1846ae7bb83b548cd7da65a73a2ff6cafcdc9", "title": "Progressive Refinement: A Method of Coarse-to-Fine Image Parsing Using Stacked Network", "addresses": [{"name": "Jiangsu University of Science and Technology", "source_name": "Jiangsu University of Science and Technology", "street_adddress": "\u6c5f\u82cf\u79d1\u6280\u5927\u5b66, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212000, \u4e2d\u56fd", "lat": "32.19805500", "lng": "119.46326791", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486489"]}, {"id": "6d247e3b134a36b329edafa67c53f8fed02515a6", "title": "Multi-Layer Progressive Face Alignment by Integrating Global Match and Local Refinement", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6d24/7e3b134a36b329edafa67c53f8fed02515a6.pdf"], "doi": []}, {"id": "46fcf1a1d103c8028b6313d8daec2b57a447a9ca", "title": "A fast online cascaded regression algorithm for face alignment", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04010.pdf"], "doi": []}, {"id": "df53cb2445521a7350cd98a207534795a2a503df", "title": "Photorealistic Face Completion with Semantic Parsing and Face Identity-Preserving Features", "addresses": [{"name": "Guangdong Polytechnic Normal University", "source_name": "Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China", "street_adddress": "Tianhe Park, Tianhe, Guangzhou, China, 510640", "lat": "23.13170700", "lng": "113.37164300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300940"]}, {"id": "df3d85ecf8e326774cab59aab75b572fcf9767cc", "title": "The novel part-based cascaded regression algorithm research combining with pose estimation", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Hainan Tropical Ocean University", "source_name": "College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China", "street_adddress": "Jiyang, Sanya, China", "lat": "18.30806300", "lng": "109.53513600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1610-y"]}, {"id": "771f5b9d54bcb6aa082d01292473233f7def0f53", "title": "Multi-view Facial Landmark Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/771f/5b9d54bcb6aa082d01292473233f7def0f53.pdf"], "doi": []}, {"id": "c6e40cbc1a1bbb6456bc308714d6ec2d0e2b9b34", "title": "Real-Time Facial Feature Extraction Scheme Using Cascaded Networks", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8679316"]}, {"id": "102249fbfc99d1a16b58b99e28b7deab043a35c6", "title": "Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8376028"]}, {"id": "855184c789bca7a56bb223089516d1358823db0b", "title": "Automatic Procedure to Fix Closed-Eyes Image", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8551/84c789bca7a56bb223089516d1358823db0b.pdf"], "doi": []}, {"id": "6d69a1c9e5d12b3f6c3662d225b24a8c8c98e717", "title": "Classification of Volcano-Seismic Signals with Bayesian Neural Networks", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553358"]}, {"id": "2f841ff062053f38725030aa1b77db903dad1efb", "title": "Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets", "addresses": [{"name": "Australian Centre for Field Robotics University of Sydney", "source_name": "Australian Centre for Field Robotics University of Sydney, 2006, Australia", "street_adddress": "Rose Street Bldg, University of Sydney NSW 2006, Australia", "lat": "-33.88994000", "lng": "151.19380470", "type": "edu", "country": "Australia"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907748", "http://doi.org/10.1109/ICRA.2014.6907748"]}]} \ No newline at end of file +{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "paper": {"key": "helen", "name": "Helen", "title": "Interactive Facial Feature Localization", "year": "2012", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}]}, "citations": [{"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "8875dcf2836315839741fd6944f249263408c27f", "title": "Facial landmark detection via self-adaption model and multi-task feature learning", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877807"]}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "title": "A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3062182"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure Detection for Facial Landmark Detectors", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06451.pdf"], "doi": []}, {"id": "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "title": "Improving Facial Attribute Prediction Using Semantic Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08740.pdf"], "doi": []}, {"id": "d32b155138dafd0a9099980eceec6081ab51b861", "title": "Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03459.pdf"], "doi": []}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "f070d739fb812d38571ec77490ccd8777e95ce7a", "title": "Hierarchical facial landmark localization via cascaded random binary patterns", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://zhzhanp.github.io/papers/PR2015.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.09.007", "https://doi.org/10.1016/j.patcog.2014.09.007"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "5721cd4b898f0e7df8de1e0215f630af94656be9", "title": "Retouch transfer for 3D printed face replica with automatic alignment", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095164"]}, {"id": "9aade3d26996ce7ef6d657130464504b8d812534", "title": "Face Alignment With Deep Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7728148", "http://doi.org/10.1109/TNNLS.2016.2618340", "https://www.ncbi.nlm.nih.gov/pubmed/27831893", "https://www.wikidata.org/entity/Q50550490"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "title": "Simultaneous Cascaded Regression", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018.pdf", "http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451313", "http://doi.org/10.1109/ICIP.2018.8451313"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "addresses": [{"name": "IBM Research T. J. Watson Center", "source_name": "IBM Research T. J. Watson Center, U.S.A", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416197", "http://doi.org/10.1109/LSP.2016.2533721"]}, {"id": "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "title": "Deep Feature Interpolation for Image Content Changes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "George Washington University", "source_name": "George Washington University, USA", "street_adddress": "2121 I St NW, Washington, DC 20052, USA", "lat": "38.89971450", "lng": "-77.04859920", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05507.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "5df17c81c266cf2ebb0778e48e825905e161a8d9", "title": "A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389408", "http://doi.org/10.1109/TMM.2016.2520091"]}, {"id": "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "title": "Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06598.pdf"], "doi": []}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "95e3b78eb4d5b469f66648ed4f37e45e0e01e63e", "title": "Facial point localization via neural networks in a cascade regression framework", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4261-x", "https://doi.org/10.1007/s11042-016-4261-x"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "title": "Real-time face alignment enhancement by tracking", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866457", "http://doi.org/10.1109/ROBIO.2016.7866457"]}, {"id": "b3f18013079e0535dcda045ac5145c201287aec3", "title": "Multi-Label Dilated Recurrent Network for Sequential Face Alignment", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486438", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486438", "http://doi.org/10.1109/ICME.2018.8486438"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961805", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.84", "http://doi.org/10.1109/FG.2017.84"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "title": "Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451200", "http://doi.org/10.1109/ICIP.2018.8451200"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"], "doi": []}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "title": "Semantic facial description via axiomatic Fuzzy Set based clustering", "addresses": [{"name": "Shenyang Aerospace University", "source_name": "College of Automation, Shenyang Aerospace University, China", "street_adddress": "Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016", "lat": "41.76538300", "lng": "123.41744800", "type": "edu", "country": "China"}, {"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382037", "http://doi.org/10.1109/FSKD.2015.7382037"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "837e99301e00c2244023a8a48ff98d7b521c93ac", "title": "Local Feature Evaluation for a Constrained Local Model Framework", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b7b7/4e0ec15c22e1c94406c592bbb83c8e865f52.pdf"], "doi": []}, {"id": "30f6c4bd29b9a8c94f37f3818cf6145c1507826f", "title": "The research of facial features localization based on posterior probability deformable model", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7237861"]}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "4b936847f39094d6cb0bde68cea654d948c4735d", "title": "Face alignment under occlusion based on local and global feature regression", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3470-7", "https://doi.org/10.1007/s11042-016-3470-7"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "992ebd81eb448d1eef846bfc416fc929beb7d28b", "title": "Exemplar-Based Face Parsing Supplementary Material", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/992e/bd81eb448d1eef846bfc416fc929beb7d28b.pdf"], "doi": []}, {"id": "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "title": "Face Completion with Semantic Knowledge and Collaborative Adversarial Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03252.pdf"], "doi": []}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "21f5f65e832c5472d6d08f6ee280d65ff0202e29", "title": "Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and Machine-Learning-Based Approaches", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_44"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "b87b0fa1ac0aad0ca563844daecaeecb2df8debf", "title": "Non-photorealistic rendering of portraits", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2811249"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532567", "http://doi.org/10.1109/ICIP.2016.7532567"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "52d6740dbed1dc39601e5badec0b56021dd6ea5d", "title": "Dynamic Facial Expression Synthesis Driven by Deformable Semantic Parts", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545831"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "e69a765d033ef6ea55c57ca41c146b27964c5cf2", "title": "A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050764", "http://doi.org/10.1109/ISCAS.2017.8050764"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "addresses": [{"name": "CASIA, China", "source_name": "CASIA, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "title": "Effective face landmark localization via single deep network", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02719.pdf"], "doi": []}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "LITIS, Universit\u00e9 de Rouen, Rouen, France", "source_name": "LITIS, Université de Rouen, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"name": "Moulay Ismail University", "source_name": "Moulay Ismail University", "street_adddress": "Marjane 2, BP: 298\u060c Meknes 50050, Morocco", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu", "country": "Morocco"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805097", "http://doi.org/10.1109/CIST.2016.7805097"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "4836b084a583d2e794eb6a94982ea30d7990f663", "title": "Cascaded Face Alignment via Intimacy Definition Feature", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06642.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"], "doi": []}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "fd809ee36fa6832dda57a0a2403b4b52c207549d", "title": "A fully annotated thermal face database and its application for thermal facial expression recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409768"]}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "bab2f4949a38a712a78aafbc0a3c392227c65f56", "title": "Eye detection using gradient histogram matching for cornea localization in refractive eye surgery", "addresses": [{"name": "Southern Taiwan University of Science and Technology", "source_name": "Southern Taiwan University of Science and Technology, Tainan City, Taiwan", "street_adddress": "No. 1\u865f, Nantai Street, Yongkang District, Tainan City, Taiwan 71005", "lat": "23.02545480", "lng": "120.22648860", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302191", "http://doi.org/10.1109/CISP-BMEI.2017.8302191"]}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "11fc332bdcc843aad7475bb4566e73a957dffda5", "title": "SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03356.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "696236fb6f986f6d5565abb01f402d09db68e5fa", "title": "Learning adaptive receptive fields for deep image parsing networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Learning_Adaptive_Receptive_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wei_Learning_Adaptive_Receptive_2017_CVPR_supplemental.pdf"], "doi": ["http://doi.org/10.1007/s41095-018-0112-1", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.420", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099903", "https://doi.org/10.1007/s41095-018-0112-1"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Jiaotong University", "source_name": "Jiaotong University, China", "street_adddress": "Jiaotong University, China, 200000", "lat": "31.19884000", "lng": "121.43256700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "title": "Complex representations for learning statistical shape priors", "addresses": [{"name": "Amazon Research, Berlin", "source_name": "Amazon Research, Berlin, Germany", "street_adddress": "Krausenstra\u00dfe 38, 10117 Berlin, Germany", "lat": "52.50986860", "lng": "13.39845130", "type": "company", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347043.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eusipco_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081394", "http://doi.org/10.23919/EUSIPCO.2017.8081394", "https://doi.org/10.23919/EUSIPCO.2017.8081394"]}, {"id": "1fb980e137b2c9f8781a0d98c026e164b497ddb1", "title": "GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User", "addresses": [{"name": "LMU Munich, Germany", "source_name": "LMU Munich, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Germany and Munich University of Applied Sciences", "source_name": "LMU Munich, Germany and Munich University of Applied Sciences, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3213539"]}, {"id": "2a84f7934365f05b6707ea0ac225210f78e547af", "title": "A joint facial point detection method of deep convolutional network and shape regression", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899690", "http://doi.org/10.1109/ICPR.2016.7899690"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "6ba6045e4b404c44f9b4dfce2d946019f0e85a72", "title": "Facial landmark detection based on an ensemble of local weighted regressors during real driving situation", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899962", "http://doi.org/10.1109/ICPR.2016.7899962"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "266cb58a82ce44ce8f0cffbfa89e44227096f424", "title": "Assessment for facial nerve paralysis based on facial asymmetry", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13246-017-0597-4", "https://www.ncbi.nlm.nih.gov/pubmed/29090419"]}, {"id": "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "title": "Disentangling the Modes of Variation in Unlabelled Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/disentangling-modes-variation.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8214214", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2783940", "http://doi.org/10.1109/TPAMI.2017.2783940", "https://www.ncbi.nlm.nih.gov/pubmed/29990016"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "The University of Texas at Arlington", "source_name": "The University of Texas at Arlington", "street_adddress": "701 W Nedderman Dr, Arlington, TX 76019, USA", "lat": "32.72987180", "lng": "-97.11401160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"], "doi": []}, {"id": "12095f9b35ee88272dd5abc2d942a4f55804b31e", "title": "DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild R\u0131za", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1209/5f9b35ee88272dd5abc2d942a4f55804b31e.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc", "title": "A comparison of facial landmark detection methods", "addresses": [{"name": "Marmara University, Istanbul, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Marmara \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "E\u011fitim Mahallesi, Marmara \u00dcniversitesi M\u00fchendislik Fak\u00fcltesi G\u00f6ztepe Kamp\u00fcs\u00fc, 34722 Kad\u0131k\u00f6y/\u0130stanbul, Turkey", "lat": "40.98690400", "lng": "29.05309810", "type": "edu", "country": "Turkey"}, {"name": "Trakya University, Edirne, Turkey", "source_name": "Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Trakya \u00dcniversitesi, Edirne, T\u00fcrkiye", "street_adddress": "Edirne, Edirne Merkez/Edirne, Turkey", "lat": "41.67712970", "lng": "26.55571450", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404357", "http://doi.org/10.1109/SIU.2018.8404357", "https://doi.org/10.1109/SIU.2018.8404357"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "766728bac030b169fcbc2fbafe24c6e22a58ef3c", "title": "A survey of deep facial landmark detection", "addresses": [{"name": "Universit\u00e9 Clermont Auvergne", "source_name": "Universit\u00e9 Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7667/28bac030b169fcbc2fbafe24c6e22a58ef3c.pdf"], "doi": []}, {"id": "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "title": "Automatic construction Of robust spherical harmonic subspaces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_spherical_harmonics.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298604", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298604", "http://doi.org/10.1109/CVPR.2015.7298604"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06627.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "995d55fdf5b6fe7fb630c93a424700d4bc566104", "title": "The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410537", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.180", "http://doi.org/10.1109/ICCV.2015.180"]}, {"id": "f354cd137fdc40a3ff6a4004f2a052966c275627", "title": "Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining", "addresses": [{"name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies", "source_name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s12559-017-9530-0"]}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "addresses": [{"name": "Institute of Automation Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 3rd St, \u4e2d\u5173\u6751", "lat": "39.97945600", "lng": "116.32845670", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551684"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.02137.pdf"], "doi": []}, {"id": "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "title": "ReenactGAN: Learning to Reenact Faces via Boundary Transfer", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11079.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0", "title": "Driver Facial Landmark Detection in Real Driving Situations", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}, {"name": "Hanbat National University", "source_name": "Instrumentation Engineering, Hanbat National University, Daejeon, Korea", "street_adddress": "125 Dongseo-daero, Deogmyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.35078000", "lng": "127.30119810", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094282", "http://doi.org/10.1109/TCSVT.2017.2769096"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "f1a58bb78149f408471ce166a13cd9176e5edc5b", "title": "Facial Landmark Extraction Scheme Based on Semantic Segmentation", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472730"]}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "title": "Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "Computer Vision Center, UAB, Barcelona, Spain", "source_name": "Computer Vision Center, UAB, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf", "http://sergioescalera.com/wp-content/uploads/2015/07/CVPR2015MoeslundSlides.pdf", "http://vbn.aau.dk/files/210011403/PID3686207.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301341", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301341", "http://doi.org/10.1109/CVPRW.2015.7301341"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "f2d5bb329c09a5867045721112a7dad82ca757a3", "title": "Towards more efficient and flexible face image deblurring using robust salient face landmark detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3009-3", "https://doi.org/10.1007/s11042-015-3009-3"]}, {"id": "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "title": "Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}, {"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "street_adddress": "Messina, Province of Messina, Italy", "lat": "38.19373350", "lng": "15.55420570", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8207589", "http://doi.org/10.1109/TCDS.2017.2783684"]}, {"id": "1966055f13a7475100d18843f85717f312511805", "title": "CG Benefited Driver Facial Landmark Localization Across Large Rotation", "addresses": [{"name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "source_name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "street_adddress": "Binhai, Yancheng, Jiangsu, China", "lat": "33.99033400", "lng": "119.82083000", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500537", "http://doi.org/10.1109/IVS.2018.8500537"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "f25aa838fb44087668206bf3d556d31ffd75235d", "title": "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", "addresses": [{"name": "Villanova University", "source_name": "Villanova University", "street_adddress": "Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA", "lat": "40.03677740", "lng": "-75.34202332", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912038"]}, {"id": "2d1757eb136e9e7ce79363e7acd76d67a053b727", "title": "A Coarse-to-Fine Face Hallucination Method by Exploiting Facial Prior Knowledge", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451122"]}, {"id": "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "title": "Generative Face Completion", "addresses": [{"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05838.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031057", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2750687", "http://doi.org/10.1109/TPAMI.2017.2750687", "https://www.ncbi.nlm.nih.gov/pubmed/28910758"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5810ce61fda464d4de2769bd899e12727bee0382", "title": "Smile detection using Pair-wise Distance Vector and Extreme Learning Machine", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727484", "http://doi.org/10.1109/IJCNN.2016.7727484"]}, {"id": "80ed678ef28ccc1b942e197e0393229cd99d55c8", "title": "Face recognition based on Kinect", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0456-4", "https://doi.org/10.1007/s10044-015-0456-4"]}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "8c048be9dd2b601808b893b5d3d51f00907bdee0", "title": "Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics", "addresses": [{"name": "Christian-Albrechts University", "source_name": "Christian-Albrechts University, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "United States"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1600041"]}, {"id": "9048732c8591a92a1f4f589b520a733f07578f80", "title": "Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301921", "http://doi.org/10.1109/CISP-BMEI.2017.8301921"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "cad2bd940e7580490da9cc739e597d029e166504", "title": "Salient-points-guided face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0555-8"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "88d63a0cc0b8a5303bdef286d6df118bb1d44d26", "title": "Real-time mimicking of estonian speaker's mouth movements on a 3D avatar using Kinect 2", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7354513", "http://doi.org/10.1109/ICTC.2015.7354513"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "ba21fd28003994480f713b0a1276160fea2e89b5", "title": "Identification of Individuals from Ears in Real World Conditions", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba21/fd28003994480f713b0a1276160fea2e89b5.pdf"], "doi": []}, {"id": "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "title": "A fast Cascade Shape Regression Method based on CNN-based Initialization", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546058", "http://doi.org/10.1109/ICPR.2018.8546058"]}, {"id": "08ecc281cdf954e405524287ee5920e7c4fb597e", "title": "Computational Assessment of Facial Expression Production in ASD Children", "addresses": [{"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08ec/c281cdf954e405524287ee5920e7c4fb597e.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "f20ed84abcb1223f351a576ef10dfda9f277326b", "title": "Face recognition based on LBPH and regression of Local Binary features", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846668"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "a7a3ec1128f920066c25cb86fbc33445ce613919", "title": "Joint facial landmark detection and action estimation based on deep probabilistic random forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305115", "http://doi.org/10.1109/VCIP.2017.8305115"]}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "771a6a80dd08212d83a4e976522e1ce108881401", "title": "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820979", "http://doi.org/10.1109/IPTA.2016.7820979"]}, {"id": "7eb85bcb372261bad707c05e496a09609e27fdb3", "title": "A Compute-Efficient Algorithm for Robust Eyebrow Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W17/papers/Sathyanarayana_A_Compute-Efficient_Algorithm_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910051", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.101", "http://doi.org/10.1109/CVPRW.2014.101"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "3bc376f29bc169279105d33f59642568de36f17f", "title": "Active shape models with SIFT descriptors and MARS", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["http://www.dip.ee.uct.ac.za/~nicolls/publish/sm14-visapp.pdf", "http://www.milbo.org/stasm-files/active-shape-models-with-sift-and-mars.pdf", "http://www.scitepress.org/Papers/2014/46800/46800.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294955", "http://doi.org/10.5220/0004680003800387"]}, {"id": "21a2f67b21905ff6e0afa762937427e92dc5aa0b", "title": "Extra Facial Landmark Localization via Global Shape Reconstruction", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28512467", "http://doi.org/10.1155/2017%2F8710492", "https://www.wikidata.org/entity/Q33645492"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"name": "NTT Corporation, Atsugi, Japan", "source_name": "NTT Corporation, Atsugi, Japan", "street_adddress": "3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "company", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967236"]}, {"id": "11ba01ce7d606bab5c2d7e998c6d94325521b8a0", "title": "Regression based landmark estimation and multi-feature fusion for visual speech recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350911", "http://doi.org/10.1109/ICIP.2015.7350911"]}, {"id": "7d1688ce0b48096e05a66ead80e9270260cb8082", "title": "Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors", "addresses": [{"name": "Otto von Guericke University", "source_name": "Otto von Guericke University", "street_adddress": "Otto-von-Guericke-Universit\u00e4t Magdeburg, 2, Universit\u00e4tsplatz, Kr\u00f6kentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland", "lat": "52.14005065", "lng": "11.64471248", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w44/Saxen_Real_vs._Fake_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265574", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.363", "http://doi.org/10.1109/ICCVW.2017.363"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "4848a48a2b8bacd2092e87961cd86818da8e7151", "title": "Comparative evaluation of facial fiducial point detection approaches", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305080", "http://doi.org/10.1109/VCIP.2017.8305080"]}, {"id": "51b42da0706a1260430f27badcf9ee6694768b9b", "title": "Shape initialization without ground truth for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001278.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471882", "http://doi.org/10.1109/ICASSP.2016.7471882", "https://doi.org/10.1109/ICASSP.2016.7471882"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "aa4af9b3811db6a30e1c7cc1ebf079078c1ee152", "title": "Deformable part models with CNN features for facial landmark detection under occlusion", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3129451"]}, {"id": "4e3b71b1aa6b6cb7aa55843d2214441f0076fe69", "title": "Colour-based lips segmentation method using artificial neural networks", "addresses": [{"name": "Mutah University", "source_name": "Mutah University, Karak, Jordan, 61710", "street_adddress": "Street\u060c Mu'tah, Jordan", "lat": "31.09365620", "lng": "35.71737420", "type": "edu", "country": "Jordan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7103225"]}, {"id": "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "title": "Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01453.pdf"], "doi": []}, {"id": "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "title": "Online Eye Status Detection in the Wild with Convolutional Neural Networks", "addresses": [{"name": "University of Central Lancashire", "source_name": "ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.", "street_adddress": "Fylde Rd, Preston PR1 2HE, UK", "lat": "53.76413780", "lng": "-2.70924530", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ef52/f1e2b52fd84a7e22226ed67132c6ce47b829.pdf"], "doi": []}, {"id": "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "title": "Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/287b/7baff99d6995fd5852002488eb44659be6c1.pdf"], "doi": []}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"name": "Firat University", "source_name": "Firat University", "street_adddress": "Erzincan \u00dcniversitesi Hukuk Fak\u00fcltesi Dekanl\u0131\u011f\u0131, Sivas-Erzincan yolu, \u00dc\u00e7konak, Erzincan, Erzincan merkez, Erzincan, Do\u011fu Anadolu B\u00f6lgesi, 24000, T\u00fcrkiye", "lat": "39.72750370", "lng": "39.47127034", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "title": "Facial landmark detection via pose-induced auto-encoder networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351174", "http://doi.org/10.1109/ICIP.2015.7351174"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "d68dbb71b34dfe98dee0680198a23d3b53056394", "title": "VIVA Face-off Challenge : Dataset Creation and Balancing Privacy", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d68d/bb71b34dfe98dee0680198a23d3b53056394.pdf"], "doi": []}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "title": "Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"], "doi": []}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "title": "A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09058.pdf"], "doi": []}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "1f9ae272bb4151817866511bd970bffb22981a49", "title": "An Iterative Regression Approach for Face Pose Estimation from RGB Images", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03170.pdf"], "doi": []}, {"id": "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "title": "Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://doc.utwente.nl/103789/1/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf", "http://eprints.eemcs.utwente.nl/27574/01/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0950-1", "https://doi.org/10.1007/s11263-016-0950-1"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Gannan Normal University", "source_name": "Gannan Normal University, Ganzhou, China", "street_adddress": "Shangxue S Ave, Zhanggong Qu, Ganzhou Shi, Jiangxi Sheng, China", "lat": "25.79552400", "lng": "114.88722700", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006729", "http://doi.org/10.1109/TIP.2015.2390976", "https://www.ncbi.nlm.nih.gov/pubmed/25594969", "https://www.wikidata.org/entity/Q48687759"]}, {"id": "1fe1a78c941e03abe942498249c041b2703fd3d2", "title": "Face alignment based on improved shape searching", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393355", "http://doi.org/10.1109/FSKD.2017.8393355", "https://doi.org/10.1109/FSKD.2017.8393355"]}, {"id": "b7043048b4ba748c9c6317b6d8206192c34f57ff", "title": "Shaping datasets: Optimal data selection for specific target distributions across dimensions", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533061", "http://doi.org/10.1109/ICIP.2016.7533061"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "46b2ecef197b465abc43e0e017543b1af61921ac", "title": "Face alignment with Cascaded Bidirectional LSTM Neural Networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899652", "http://doi.org/10.1109/ICPR.2016.7899652"]}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "8fa15d1f161097109eb3dcd629ee8fc423557230", "title": "The iBUG Eye Segmentation Dataset", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8fa1/5d1f161097109eb3dcd629ee8fc423557230.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "8633732d9f787f8497c2696309c7d70176995c15", "title": "Multi-objective convolutional learning for face labeling", "addresses": [{"name": "Baidu Research, USA", "source_name": "Baidu Research, USA", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_face_labeling.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr15_facel_labeling_supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298967", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298967", "http://doi.org/10.1109/CVPR.2015.7298967"]}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "33ad23377eaead8955ed1c2b087a5e536fecf44e", "title": "Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://people.cs.umass.edu/~elm/papers/GLOC.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c019.pdf", "http://vis-www.cs.umass.edu/papers/gloc_cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Kae_Augmenting_CRFs_with_2013_CVPR_paper.pdf", "https://people.cs.umass.edu/~elm/Teaching/670_F13/Kae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619107", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.263", "http://doi.org/10.1109/CVPR.2013.263"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "410ba5b3f4af7c92d3d368faad7a1cc482a7bb70", "title": "Face Detection and Recognition in Color Images under Matlab", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/410b/a5b3f4af7c92d3d368faad7a1cc482a7bb70.pdf"], "doi": []}, {"id": "2a31b4bf2a294b6e67956a6cd5ed6d875af548e0", "title": "Learning Affinity via Spatial Propagation Networks", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01020.pdf"], "doi": []}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "12b3c87b3cb353ec88810c253e986b0e1da17033", "title": "A Novel Face Attribute Segmentation Algorithm", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695576"]}, {"id": "fed318f6ef238a23a51e1384dff8d49e7319ba13", "title": "Top-down sampling convolution network for face segmentation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322867"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "060231e8f450eb7c212814f67bca97a1c310e8a2", "title": "Efficient Face Image Deblurring via Robust Face Salient Landmark Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.springer.com/cda/content/document/cda_downloaddocument/9783319240749-c2.pdf?SGWID=0-0-45-1544751-p177697434"], "doi": ["https://doi.org/10.1007/978-3-319-24075-6_2"]}, {"id": "136f92989e982ecf795cb27d65b48464eaec9323", "title": "Joint face alignment and segmentation via deep multi-task learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5609-1"]}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "1ad551c144b05e3aff76e496bccb7943dfa6c50c", "title": "Interactive Tracking for Robot-Assisted Autism Therapy", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Worcester Polytechnic Institute, Worcester, MA, USA", "source_name": "Worcester Polytechnic Institute, Worcester, MA, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3038390"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "94eb1a33bbe1a1a04167e9cab2a3329037c69133", "title": "Robust Arm and Hand Tracking by Unsupervised Context Learning", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/94eb/1a33bbe1a1a04167e9cab2a3329037c69133.pdf"], "doi": []}, {"id": "385cae408bae950fb5e5ef501bfb6821fa3a9fbe", "title": "Robust face alignment with cascaded coarse-to-fine auto-encoder network", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296527"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "da0142ec5264942315bd487d3ffb35096bde81ad", "title": "A high-fidelity multiresolution digital elevation model for Earth systems", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/da01/42ec5264942315bd487d3ffb35096bde81ad.pdf"], "doi": []}, {"id": "074b6fe0cc6848fb86a6703d1c52074494177c79", "title": "CyCADA: Cycle-Consistent Adversarial Domain Adaptation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03213.pdf"], "doi": []}, {"id": "19d2b7008857413680af1dd4259865d7e538cb1b", "title": "Robust real-time hands-and-face detection for human robot interaction", "addresses": [{"name": "Universit\u00e9 de Bourgogne", "source_name": "Universit\u00e9 de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France", "street_adddress": "Maison de l'universit\u00e9, Espl. Erasme, 21078 Dijon, France", "lat": "47.31290700", "lng": "5.06606800", "type": "edu", "country": "France"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/19d2/b7008857413680af1dd4259865d7e538cb1b.pdf"], "doi": []}, {"id": "040af4f3d27947125b7c2ec9935a90023e827b3e", "title": "Enhancing Facial Component Analysis", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3305174"]}, {"id": "f4395f44d9d591aee301d94c7459c5840996f9c8", "title": "Hands and Faces, Fast: Mono-Camera User Detection Robust Enough to Directly Control a UAV in Flight", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593709"]}, {"id": "1ca1846ae7bb83b548cd7da65a73a2ff6cafcdc9", "title": "Progressive Refinement: A Method of Coarse-to-Fine Image Parsing Using Stacked Network", "addresses": [{"name": "Jiangsu University of Science and Technology", "source_name": "Jiangsu University of Science and Technology", "street_adddress": "\u6c5f\u82cf\u79d1\u6280\u5927\u5b66, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212000, \u4e2d\u56fd", "lat": "32.19805500", "lng": "119.46326791", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486489"]}, {"id": "73ba2fcbbdb59df6bf3f8f0c1adb7b94098bfc6a", "title": "Weakly-supervised Caricature Face Parsing through Domain Adaptation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.05091.pdf"], "doi": []}, {"id": "6d247e3b134a36b329edafa67c53f8fed02515a6", "title": "Multi-Layer Progressive Face Alignment by Integrating Global Match and Local Refinement", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6d24/7e3b134a36b329edafa67c53f8fed02515a6.pdf"], "doi": []}, {"id": "46fcf1a1d103c8028b6313d8daec2b57a447a9ca", "title": "A fast online cascaded regression algorithm for face alignment", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04010.pdf"], "doi": []}, {"id": "df53cb2445521a7350cd98a207534795a2a503df", "title": "Photorealistic Face Completion with Semantic Parsing and Face Identity-Preserving Features", "addresses": [{"name": "Guangdong Polytechnic Normal University", "source_name": "Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China", "street_adddress": "Tianhe Park, Tianhe, Guangzhou, China, 510640", "lat": "23.13170700", "lng": "113.37164300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300940"]}, {"id": "cb5cfdb36c338539287ff33a7f12ca2335f177a2", "title": "Supplementary Material : Learning Affinity via Spatial Propagation Networks", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cb5c/fdb36c338539287ff33a7f12ca2335f177a2.pdf"], "doi": []}, {"id": "df3d85ecf8e326774cab59aab75b572fcf9767cc", "title": "The novel part-based cascaded regression algorithm research combining with pose estimation", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Hainan Tropical Ocean University", "source_name": "College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China", "street_adddress": "Jiyang, Sanya, China", "lat": "18.30806300", "lng": "109.53513600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1610-y"]}, {"id": "6608c48bcff47abc5234619dd9b071276490bc73", "title": "Gray-Edge-HOG feature based cascaded learning for facial landmark detection", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6608/c48bcff47abc5234619dd9b071276490bc73.pdf"], "doi": []}, {"id": "771f5b9d54bcb6aa082d01292473233f7def0f53", "title": "Multi-view Facial Landmark Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/771f/5b9d54bcb6aa082d01292473233f7def0f53.pdf"], "doi": []}, {"id": "c6e40cbc1a1bbb6456bc308714d6ec2d0e2b9b34", "title": "Real-Time Facial Feature Extraction Scheme Using Cascaded Networks", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8679316"]}, {"id": "102249fbfc99d1a16b58b99e28b7deab043a35c6", "title": "Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8376028"]}, {"id": "855184c789bca7a56bb223089516d1358823db0b", "title": "Automatic Procedure to Fix Closed-Eyes Image", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8551/84c789bca7a56bb223089516d1358823db0b.pdf"], "doi": []}, {"id": "6d69a1c9e5d12b3f6c3662d225b24a8c8c98e717", "title": "Classification of Volcano-Seismic Signals with Bayesian Neural Networks", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553358"]}, {"id": "2f841ff062053f38725030aa1b77db903dad1efb", "title": "Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets", "addresses": [{"name": "Australian Centre for Field Robotics University of Sydney", "source_name": "Australian Centre for Field Robotics University of Sydney, 2006, Australia", "street_adddress": "Rose Street Bldg, University of Sydney NSW 2006, Australia", "lat": "-33.88994000", "lng": "151.19380470", "type": "edu", "country": "Australia"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907748", "http://doi.org/10.1109/ICRA.2014.6907748"]}, {"id": "1da138e91cb05ed03ef7719ee0415e38400b4bbe", "title": "Some Pieces Are Missing: Implicature Production in Children", "addresses": [{"name": "University of G\u00f6ttingen", "source_name": "University of G\u00f6ttingen, Germany", "street_adddress": "Wilhelmsplatz 1, 37073 G\u00f6ttingen, Germany", "lat": "51.54081160", "lng": "9.93740050", "type": "company", "country": "Germany"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1da1/38e91cb05ed03ef7719ee0415e38400b4bbe.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/images_of_groups.json b/site/datasets/citations/images_of_groups.json index 70a9cf4f..8a41d001 100644 --- a/site/datasets/citations/images_of_groups.json +++ b/site/datasets/citations/images_of_groups.json @@ -1 +1 @@ -{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "paper": {"key": "images_of_groups", "name": "Images of Groups", "title": "Understanding images of groups of people", "year": "2009", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": [{"id": "15bf753aa41e4ac465d5fd13ef3913641bc0427a", "title": "Finding rows of people in group images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://www.cc.gatech.edu/~hays/compvision/proj5/papers/Gallagher_ICME_2009.pdf", "https://www.researchgate.net/profile/Andrew_Gallagher2/publication/221263262_Finding_rows_of_people_in_group_images/links/0fcfd51112f0b8150f000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202568", "http://doi.org/10.1109/ICME.2009.5202568"]}, {"id": "02cc96ad997102b7c55e177ac876db3b91b4e72c", "title": "MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Bartoli_MuseumVisitors_A_Dataset_2015_CVPR_paper.pdf", "http://www.micc.unifi.it/publications/2015/BLSKD15/egpaper_for_review.pdf", "http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/cvpr-grow2015.pdf", "http://www.sveborkaraman.com/wp-content/papercite-data/pdf/bartoli2015museumvisitors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301279", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301279", "http://doi.org/10.1109/CVPRW.2015.7301279"]}, {"id": "035fb6317dd793a51c57ccce6f79c4aa1437ea93", "title": "Gender prediction from mobile ocular images: A feasibility study", "addresses": [{"name": "University of Missouri at Kansas City", "source_name": "University of Missouri at Kansas City, United States of America", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943489"]}, {"id": "3f9a7d690db82cf5c3940fbb06b827ced59ec01e", "title": "VIP: Finding important people in images", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.05678.pdf"], "doi": []}, {"id": "c1c34a3ab7815af1b9bcaf2822e4b9da8505f915", "title": "Image transmorphing with JPEG", "addresses": [{"name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "source_name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://infoscience.epfl.ch/record/210902/files/15_ICIP_Transmorph.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351547", "http://doi.org/10.1109/ICIP.2015.7351547"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "37b6d6577541ed991435eaf899a2f82fdd72c790", "title": "Vision-based Human Gender Recognition: A Survey", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.1611.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "53692881ac5b1c149adf6d22ccb2c414d7fdcf4e", "title": "A Completed Modeling of Local Binary Pattern Operator for Texture Classification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5427137"]}, {"id": "046865a5f822346c77e2865668ec014ec3282033", "title": "Discovering informative social subgraphs and predicting pairwise relationships from group photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2393439"]}, {"id": "18de899c853120a1a2cd502ebc3e970b92e1882f", "title": "Age Regression from Soft Aligned Face Images Using Low Computational Resources", "addresses": [{"name": "Universidad Rey Juan Carlos", "source_name": "Departamento de Ciencias de la Computaci\u00f3n, Universidad Rey Juan Carlos, M\u00f3stoles (Madrid), Spain. josemiguel.buenaposada@urjc.es", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/18de/899c853120a1a2cd502ebc3e970b92e1882f.pdf"], "doi": []}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "90ae02da16b750a9fd43f8a38440f848309c2fe0", "title": "A review of facial gender recognition", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0499-6"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b", "title": "Human Age Estimation Based on Locality and Ordinal Information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "IBM Research-China, Beijing, China", "source_name": "IBM Research-China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6980113", "http://doi.org/10.1109/TCYB.2014.2376517", "https://www.ncbi.nlm.nih.gov/pubmed/26470062", "https://www.wikidata.org/entity/Q50555273"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "83272537fc29345d32f68a8ab37e4170df10d3bb", "title": "Automatic clothes segmentation for soft biometrics", "addresses": [{"name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["http://acceda.ulpgc.es/bitstream/10553/15756/5/C089_ICIP14_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026007", "http://doi.org/10.1109/ICIP.2014.7026007"]}, {"id": "0d57d3d2d04fc96d731cac99a7a8ef79050dac75", "title": "Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/CVPR_2013_workshop.pdf", "http://sites.lafayette.edu/sadovnia/files/2014/07/CVPR_2013_workshop.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a269.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W06/papers/Sadovnik_Not_Everybodys_Special_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595886", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.47", "http://doi.org/10.1109/CVPRW.2013.47"]}, {"id": "fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f", "title": "Real-Time Semantic Clothing Segmentation", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://eprints.soton.ac.uk/340202/1/Cushen-ISVC2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33179-4_27", "https://www.wikidata.org/entity/Q57724301"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "5aad56cfa2bac5d6635df4184047e809f8fecca2", "title": "A visual dictionary attack on Picture Passwords", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738916", "http://doi.org/10.1109/ICIP.2013.6738916"]}, {"id": "fac6551c4572b6676aa9963f7cecf43cffaafa26", "title": "Feature Extraction based Face Recognition , Gender and Age Classification", "addresses": [{"name": "Bangalore University", "source_name": "Bangalore University, India", "street_adddress": "Gnana Bharathi Campus, Gnana Bharathi Main Rd, Teachers Colony, Nagarbhavi, Bengaluru, Karnataka 560056, India", "lat": "12.95273140", "lng": "77.51573870", "type": "edu", "country": "India"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fac6/551c4572b6676aa9963f7cecf43cffaafa26.pdf"], "doi": []}, {"id": "13d3b696cdbec99b2fdbb34e9d031bf8c683f112", "title": "Family Photo Recognition via Multiple Instance Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079036"]}, {"id": "4f0e82a326e9ff158a5092ba6206877cf961e19c", "title": "Facial age estimation and gender classification using multi level local phase quantization", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}], "year": "2015", "pdf": ["http://dspace.univ-biskra.dz:8080/jspui/bitstream/123456789/6645/1/Facial%20age%20estimation%20and%20gender%20classification%20using%20Multi%20Level%20Local%20Phase%20Quantization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7233141"]}, {"id": "aec2618ef5317eecb599d1ecd599eedd170107d7", "title": "Automatic age estimation and gender classification in the wild", "addresses": [{"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aec2/618ef5317eecb599d1ecd599eedd170107d7.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "1e516273554d87bbe1902fa0298179c493299035", "title": "Age Classification in Unconstrained Conditions Using LBP Variants", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2012", "pdf": ["http://www.ee.oulu.fi/~hadid/Age-ICPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460367", "http://ieeexplore.ieee.org/document/6460367/"]}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "40638331496b0854b9e348174294c030f5eb5001", "title": "Emotion recognition from an ensemble of features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771365"]}, {"id": "b6a3fc971d29dc61249e6fe033df64ec1a72b9d3", "title": "Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5443483"]}, {"id": "096cc955e19446c3445e331c62d62897833d3e46", "title": "On partial least squares in head pose estimation: How to simultaneously deal with misalignment", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247979"]}]} \ No newline at end of file +{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "paper": {"key": "images_of_groups", "name": "Images of Groups", "title": "Understanding images of groups of people", "year": "2009", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": [{"id": "15bf753aa41e4ac465d5fd13ef3913641bc0427a", "title": "Finding rows of people in group images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://www.cc.gatech.edu/~hays/compvision/proj5/papers/Gallagher_ICME_2009.pdf", "https://www.researchgate.net/profile/Andrew_Gallagher2/publication/221263262_Finding_rows_of_people_in_group_images/links/0fcfd51112f0b8150f000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202568", "http://doi.org/10.1109/ICME.2009.5202568"]}, {"id": "02cc96ad997102b7c55e177ac876db3b91b4e72c", "title": "MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Bartoli_MuseumVisitors_A_Dataset_2015_CVPR_paper.pdf", "http://www.micc.unifi.it/publications/2015/BLSKD15/egpaper_for_review.pdf", "http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/cvpr-grow2015.pdf", "http://www.sveborkaraman.com/wp-content/papercite-data/pdf/bartoli2015museumvisitors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301279", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301279", "http://doi.org/10.1109/CVPRW.2015.7301279"]}, {"id": "035fb6317dd793a51c57ccce6f79c4aa1437ea93", "title": "Gender prediction from mobile ocular images: A feasibility study", "addresses": [{"name": "University of Missouri at Kansas City", "source_name": "University of Missouri at Kansas City, United States of America", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943489"]}, {"id": "3f9a7d690db82cf5c3940fbb06b827ced59ec01e", "title": "VIP: Finding important people in images", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.05678.pdf"], "doi": []}, {"id": "c1c34a3ab7815af1b9bcaf2822e4b9da8505f915", "title": "Image transmorphing with JPEG", "addresses": [{"name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "source_name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://infoscience.epfl.ch/record/210902/files/15_ICIP_Transmorph.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351547", "http://doi.org/10.1109/ICIP.2015.7351547"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "1f5ab3950d9cf691b92d738ac71694402856a9e0", "title": "Person of Interest in Images", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1f5a/b3950d9cf691b92d738ac71694402856a9e0.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "37b6d6577541ed991435eaf899a2f82fdd72c790", "title": "Vision-based Human Gender Recognition: A Survey", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.1611.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "53692881ac5b1c149adf6d22ccb2c414d7fdcf4e", "title": "A Completed Modeling of Local Binary Pattern Operator for Texture Classification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5427137"]}, {"id": "046865a5f822346c77e2865668ec014ec3282033", "title": "Discovering informative social subgraphs and predicting pairwise relationships from group photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2393439"]}, {"id": "18de899c853120a1a2cd502ebc3e970b92e1882f", "title": "Age Regression from Soft Aligned Face Images Using Low Computational Resources", "addresses": [{"name": "Universidad Rey Juan Carlos", "source_name": "Departamento de Ciencias de la Computaci\u00f3n, Universidad Rey Juan Carlos, M\u00f3stoles (Madrid), Spain. josemiguel.buenaposada@urjc.es", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/18de/899c853120a1a2cd502ebc3e970b92e1882f.pdf"], "doi": []}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "90ae02da16b750a9fd43f8a38440f848309c2fe0", "title": "A review of facial gender recognition", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0499-6"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b", "title": "Human Age Estimation Based on Locality and Ordinal Information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "IBM Research-China, Beijing, China", "source_name": "IBM Research-China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6980113", "http://doi.org/10.1109/TCYB.2014.2376517", "https://www.ncbi.nlm.nih.gov/pubmed/26470062", "https://www.wikidata.org/entity/Q50555273"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "83272537fc29345d32f68a8ab37e4170df10d3bb", "title": "Automatic clothes segmentation for soft biometrics", "addresses": [{"name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["http://acceda.ulpgc.es/bitstream/10553/15756/5/C089_ICIP14_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026007", "http://doi.org/10.1109/ICIP.2014.7026007"]}, {"id": "0d57d3d2d04fc96d731cac99a7a8ef79050dac75", "title": "Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/CVPR_2013_workshop.pdf", "http://sites.lafayette.edu/sadovnia/files/2014/07/CVPR_2013_workshop.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a269.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W06/papers/Sadovnik_Not_Everybodys_Special_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595886", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.47", "http://doi.org/10.1109/CVPRW.2013.47"]}, {"id": "fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f", "title": "Real-Time Semantic Clothing Segmentation", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://eprints.soton.ac.uk/340202/1/Cushen-ISVC2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33179-4_27", "https://www.wikidata.org/entity/Q57724301"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "5aad56cfa2bac5d6635df4184047e809f8fecca2", "title": "A visual dictionary attack on Picture Passwords", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738916", "http://doi.org/10.1109/ICIP.2013.6738916"]}, {"id": "fac6551c4572b6676aa9963f7cecf43cffaafa26", "title": "Feature Extraction based Face Recognition , Gender and Age Classification", "addresses": [{"name": "Bangalore University", "source_name": "Bangalore University, India", "street_adddress": "Gnana Bharathi Campus, Gnana Bharathi Main Rd, Teachers Colony, Nagarbhavi, Bengaluru, Karnataka 560056, India", "lat": "12.95273140", "lng": "77.51573870", "type": "edu", "country": "India"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fac6/551c4572b6676aa9963f7cecf43cffaafa26.pdf"], "doi": []}, {"id": "13d3b696cdbec99b2fdbb34e9d031bf8c683f112", "title": "Family Photo Recognition via Multiple Instance Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079036"]}, {"id": "4f0e82a326e9ff158a5092ba6206877cf961e19c", "title": "Facial age estimation and gender classification using multi level local phase quantization", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}], "year": "2015", "pdf": ["http://dspace.univ-biskra.dz:8080/jspui/bitstream/123456789/6645/1/Facial%20age%20estimation%20and%20gender%20classification%20using%20Multi%20Level%20Local%20Phase%20Quantization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7233141"]}, {"id": "aec2618ef5317eecb599d1ecd599eedd170107d7", "title": "Automatic age estimation and gender classification in the wild", "addresses": [{"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aec2/618ef5317eecb599d1ecd599eedd170107d7.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "1e516273554d87bbe1902fa0298179c493299035", "title": "Age Classification in Unconstrained Conditions Using LBP Variants", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2012", "pdf": ["http://www.ee.oulu.fi/~hadid/Age-ICPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460367", "http://ieeexplore.ieee.org/document/6460367/"]}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "db8c3cfaae04a14c1209d62953029b6fa53e23c7", "title": "Challenges in representation learning: A report on three machine learning contests", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1307.0414.pdf"], "doi": []}, {"id": "40638331496b0854b9e348174294c030f5eb5001", "title": "Emotion recognition from an ensemble of features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771365"]}, {"id": "b6a3fc971d29dc61249e6fe033df64ec1a72b9d3", "title": "Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5443483"]}, {"id": "096cc955e19446c3445e331c62d62897833d3e46", "title": "On partial least squares in head pose estimation: How to simultaneously deal with misalignment", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247979"]}]} \ No newline at end of file diff --git a/site/datasets/citations/imdb_wiki.json b/site/datasets/citations/imdb_wiki.json index 9e079306..0a4b654a 100644 --- a/site/datasets/citations/imdb_wiki.json +++ b/site/datasets/citations/imdb_wiki.json @@ -1 +1 @@ -{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "paper": {"key": "imdb_wiki", "name": "IMDB-Wiki", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}]}, "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "7fab17ef7e25626643f1d55257a3e13348e435bd", "title": "Age Progression/Regression by Conditional Adversarial Autoencoder", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08423.pdf"], "doi": []}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "36a3a96ef54000a0cd63de867a5eb7e84396de09", "title": "Automatic Photo Orientation Detection with Convolutional Neural Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.cs.toronto.edu/~guerzhoy/oriviz/crv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287681", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.59", "http://doi.org/10.1109/CRV.2017.59"]}, {"id": "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "title": "Facial age estimation through self-paced learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305113", "http://doi.org/10.1109/VCIP.2017.8305113"]}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "b30aaf7e24f665473d9d19739581fd61499c6f36", "title": "BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307405"]}, {"id": "bb20363203aba8e88e73603c1e493292dd0c686a", "title": "Wasserstein Divergence for GANs", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01026.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d11d0151618987ce00a88ceda55d35f0bb89122e", "title": "An analysis of automatic gender detection by first-order configural relations", "addresses": [{"name": "Gazi University Ankara", "source_name": "Gazi University Ankara, Turkey", "street_adddress": "Emniyet mah, Gazi \u00dcniversitesi Rekt\u00f6rl\u00fc\u011f\u00fc Teknik okullar\u0131, 06560 Yenimahalle/Ankara, Turkey", "lat": "39.94202190", "lng": "32.82300500", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8093524"]}, {"id": "c6d55dd73bd124c8e2240630258de96bddb504d8", "title": "Are screening methods useful in feature selection? An empirical study", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05465.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369763"]}, {"id": "b88bace97d214d279e3a2053ccff0b6425295708", "title": "A Novel Framework for Online Supervised Learning with Feature Selection", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "74aeca09284f0941a9c7e7ace0af1cabf0795156", "title": "A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02810.pdf"], "doi": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "title": "Smart Facial Age Estimation with Stacked Deep Network Fusion", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448885"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "00a967cb2d18e1394226ad37930524a31351f6cf", "title": "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05377.pdf"], "doi": []}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "53b61d674f7d7758188ed51b81737d545d1641ab", "title": "Real-time Convolutional Neural Networks for Emotion and Gender Classification", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07557.pdf"], "doi": []}, {"id": "9e0285debd4b0ba7769b389181bd3e0fd7a02af6", "title": "From Face Images and Attributes to Attributes", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "source_name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9e02/85debd4b0ba7769b389181bd3e0fd7a02af6.pdf"], "doi": []}, {"id": "b8c08c1330779283b3fbf06d133faf8bd55ea941", "title": "Online Regression with Feature Selection in Stochastic Data Streams", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "title": "Does A Body Image Tell Age?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545590", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545590", "http://doi.org/10.1109/ICPR.2018.8545590"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "title": "Deep expectation for estimation of fingerprint orientation fields", "addresses": [{"name": "Dermalog Identification Systems, Hamburg, Germany", "source_name": "Dermalog Identification Systems GmbH, Hamburg, Germany", "street_adddress": "Mittelweg 120, 20148 Hamburg, Germany", "lat": "53.57227000", "lng": "9.99472000", "type": "company", "country": "Germany"}, {"name": "Norwegian Biometrics Lab, NTNU, Norway", "source_name": "Norwegian Biometrics Lab, NTNU, Gj\u2298vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272697", "http://doi.org/10.1109/BTAS.2017.8272697"]}, {"id": "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "title": "Evaluating race and sex diversity in the world's largest companies using deep neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02353.pdf"], "doi": []}, {"id": "523854a7d8755e944bd50217c14481fe1329a969", "title": "A Differentially Private Kernel Two-Sample Test", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00380.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "title": "Fusion of classifier predictions for audio-visual emotion recognition", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Singidunum University", "source_name": "Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia", "street_adddress": "Kara\u0111or\u0111eva 65, Beograd 11000, Serbia", "lat": "44.81238400", "lng": "20.45350100", "type": "edu", "country": "Serbia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899608", "http://doi.org/10.1109/ICPR.2016.7899608"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "26c7eda262dfda1c3a3597a3bf1f2f1cc4013425", "title": "Some Like It Hot \u2014 Visual Guidance for Preference Prediction", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.07867.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "title": "Age Estimation by Refining Label Distribution in Deep CNN", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ccbr2017.org/ccbr%20PPT/95%E5%8F%B7%E8%AE%BA%E6%96%87-%E7%94%B3%E6%99%9A%E9%9C%9E%20wanxiahen-ccbr.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-69923-3_10"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "title": "Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5fa/e7810a33ed67852ad6a3e0144cb278b24b41.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "56e079f4eb40744728fd1d7665938b06426338e5", "title": "Bayesian Approaches to Distribution Regression", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.04293.pdf"], "doi": []}, {"id": "8a991beca5bc864bbc1e26df953fd1fbd4dcb4bd", "title": "Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://www.vision.ee.ethz.ch/~timofter/publications/Patcas-IJOMS-2018.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30087062", "http://doi.org/10.1016/j.ijom.2018.07.010"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "title": "Real Time System for Facial Analysis", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05474.pdf"], "doi": []}, {"id": "2d8e5012c3772003d1fef084d9e2ebc87c8deb64", "title": "Automatic Face Aging in Videos via Deep Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "Clemson University", "source_name": "Clemson University", "street_adddress": "Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA", "lat": "34.66869155", "lng": "-82.83743476", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11082.pdf"], "doi": []}, {"id": "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "title": "Robust Joint and Individual Variance Explained", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Sagonas_Robust_Joint_and_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/2209.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100091", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.608", "http://doi.org/10.1109/CVPR.2017.608"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "2b632f090c09435d089ff76220fd31fd314838ae", "title": "Early Adaptation of Deep Priors in Age Prediction from Face Images", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hajibabaei_Early_Adaptation_of_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Hajibabaei-ICCVW-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.192", "http://doi.org/10.1109/ICCVW.2017.192"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "cca9ae621e8228cfa787ec7954bb375536160e0d", "title": "Learning to Collaborate for User-Controlled Privacy", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07410.pdf"], "doi": []}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "title": "Feature specific analysis of a deep convolutional neural network for ageing classification", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471767", "http://doi.org/10.1109/CSNDSP.2018.8471767"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "title": "DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09211.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "title": "Calibrated Prediction Intervals for Neural Network Regressors", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09546.pdf"], "doi": []}, {"id": "2c2f03edc9b76e5ac132b54b2e3313237e22b5e7", "title": "Towards neural art-based face de-identification in video data", "addresses": [{"name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "source_name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "street_adddress": "Buzinski prilaz 32, 10000, Zagreb, Croatia", "lat": "45.74611300", "lng": "15.99676300", "type": "edu", "country": "Croatia"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528406"]}, {"id": "d0296efc3c532269aaa7e8f856f5d1807af847fb", "title": "Improving the face recognition system by hybrid image preprocessing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574866", "http://doi.org/10.1109/CYBER.2016.7574866"]}, {"id": "75f9d3533f175943e33c9155f4038488f32a24bc", "title": "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06817.pdf"], "doi": []}, {"id": "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "title": "Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d060/f2f3641c6a89ade021eea749414a5c6b443f.pdf"], "doi": []}, {"id": "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "title": "Face Aging with Improved Invertible Conditional GANs", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546268", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546268", "http://doi.org/10.1109/ICPR.2018.8546268"]}, {"id": "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "title": "A method of facial wearable items recognition", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8243072"]}, {"id": "366e650a578a3732ebe10267f04bcf9d3129f076", "title": "Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition", "addresses": [{"name": "National Kaohsiung University of Science and Technology", "source_name": "National Kaohsiung University of Science and Technology, Taiwan", "street_adddress": "No. 2\u865f, Zhuoyue Road, Nanzi District, Kaohsiung City, Taiwan 811", "lat": "22.75448450", "lng": "120.33283100", "type": "edu", "country": "Taiwan"}, {"name": "National Kaohsiung University of Hospitality and Tourism", "source_name": "Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan", "street_adddress": "No. 1\u865f, Songhe Road, Xiaogang District, Kaohsiung City, Taiwan 812", "lat": "22.56325390", "lng": "120.37238220", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3133803"]}, {"id": "8aeb3d5a097d33fc20efa046c0ed6cb886498d42", "title": "A Modulation Module for Multi-task Learning with Applications in Image Retrieval", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06708.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "08d41d2f68a2bf0091dc373573ca379de9b16385", "title": "Recursive Chaining of Reversible Image-to-image Translators For Face Aging", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05023.pdf"], "doi": []}, {"id": "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "title": "End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies", "addresses": [{"name": "American University in Cairo", "source_name": "The American University in Cairo", "street_adddress": "\u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0645\u0631\u064a\u0643\u064a\u0629 \u0628\u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0634\u0627\u0631\u0639 \u0627\u0644\u0642\u0635\u0631 \u0627\u0644\u0639\u064a\u0646\u0649, \u0627\u0644\u0642\u0627\u0647\u0631\u0629 \u0627\u0644\u0642\u062f\u064a\u0645\u0629, \u062c\u0627\u0631\u062f\u0646 \u0633\u064a\u062a\u064a, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 11582, \u0645\u0635\u0631", "lat": "30.04287695", "lng": "31.23664139", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03804.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "1491d0938bb4183bd19f2fee3b61997e1918160d", "title": "Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00453.pdf"], "doi": []}, {"id": "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "title": "Multi-task learning for smile detection, emotion recognition and gender classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3155207"]}, {"id": "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "title": "User Profiling through Deep Multimodal Fusion", "addresses": [{"name": "KU Leuven, Leuven, Belgium", "source_name": "KU Leuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159691"]}, {"id": "f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7", "title": "Human features extraction by using anatomical and low level image descriptors from whole body images", "addresses": [{"name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "source_name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "street_adddress": "Cra. 11, Bogot\u00e1, Colombia", "lat": "4.68301050", "lng": "-74.04224330", "type": "edu", "country": "Colombia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743308"]}, {"id": "8d5998cd984e7cce307da7d46f155f9db99c6590", "title": "ChaLearn looking at people: A review of events and resources", "addresses": [{"name": "Open University of Catalonia", "source_name": "Open University of Catalonia, Barcelona, Spain", "street_adddress": "Rambla del Poblenou, 156, 08018 Barcelona, Spain", "lat": "41.40649800", "lng": "2.19454320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966041"]}, {"id": "68573e296f069071d071fc158e974e8bc70c893f", "title": "Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6857/3e296f069071d071fc158e974e8bc70c893f.pdf"], "doi": []}, {"id": "f7b422df567ce9813926461251517761e3e6cda0", "title": "Face aging with conditional generative adversarial networks", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01983.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "6db593d99fabc7f787f41786cb2e37c084f1ad19", "title": "Deep Age Estimation Model Stabilization from Images to Videos", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545283", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545283", "http://doi.org/10.1109/ICPR.2018.8545283"]}, {"id": "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "title": "On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471792", "http://doi.org/10.1109/CSNDSP.2018.8471792"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "2a7b7de7488211471a001044a3a249a117af488a", "title": "Physical Attribute Prediction Using Deep Residual Neural Networks", "addresses": [{"name": "Shahid Beheshti University", "source_name": "Shahid Beheshti University, Shahid Beheshti University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, District 1, Daneshjou Boulevard, 19839 69411, Iran", "lat": "35.79906280", "lng": "51.39468640", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07857.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}, {"id": "1171ec9250743c349e5218d4a01c4fdad94c7707", "title": "Low-Cost Transfer Learning of Face Tasks", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02675.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "f519723238701849f1160d5a9cedebd31017da89", "title": "Impact of multi-focused images on recognition of soft biometric traits", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f519/723238701849f1160d5a9cedebd31017da89.pdf"], "doi": []}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789595", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.105", "http://doi.org/10.1109/CVPRW.2016.105"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "4b9ec224949c79a980a5a66664d0ac6233c3d575", "title": "Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565501", "http://doi.org/10.1109/TMM.2016.2608786"]}, {"id": "10d6fe566125597195cf985084347139a8cdad1e", "title": "Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://haddadi.github.io/papers/ieeeComputer2018hybrid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364651", "http://doi.ieeecomputersociety.org/10.1109/MC.2018.2381113", "http://doi.org/10.1109/MC.2018.2381113"]}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "4905323aaf61952e07f62c18fa662c7da895e40e", "title": "Recovering Joint and Individual Components in Facial Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Onfido, London, United Kingdom", "source_name": "Onfido, London, United Kingdom", "street_adddress": "3 Finsbury Ave, London EC2M 2PA, UK", "lat": "51.51981120", "lng": "-0.08412990", "type": "company", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/final-tpami-rjive.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219732", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2784421", "http://doi.org/10.1109/TPAMI.2017.2784421", "https://www.ncbi.nlm.nih.gov/pubmed/29990036"]}, {"id": "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "title": "Unsupervised Learning of Mixture Models with a Uniform Background Component", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02744.pdf"], "doi": []}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "title": "Learning with Ambiguous Label Distribution for Apparent Age Estimation", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b20c/fbb2348984b4e25b6b9174f3c7b65b6aed9e.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}]} \ No newline at end of file +{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "paper": {"key": "imdb_wiki", "name": "IMDB-Wiki", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}]}, "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "7fab17ef7e25626643f1d55257a3e13348e435bd", "title": "Age Progression/Regression by Conditional Adversarial Autoencoder", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08423.pdf"], "doi": []}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "36a3a96ef54000a0cd63de867a5eb7e84396de09", "title": "Automatic Photo Orientation Detection with Convolutional Neural Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.cs.toronto.edu/~guerzhoy/oriviz/crv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287681", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.59", "http://doi.org/10.1109/CRV.2017.59"]}, {"id": "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "title": "Facial age estimation through self-paced learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305113", "http://doi.org/10.1109/VCIP.2017.8305113"]}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "b30aaf7e24f665473d9d19739581fd61499c6f36", "title": "BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307405"]}, {"id": "bb20363203aba8e88e73603c1e493292dd0c686a", "title": "Wasserstein Divergence for GANs", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01026.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d11d0151618987ce00a88ceda55d35f0bb89122e", "title": "An analysis of automatic gender detection by first-order configural relations", "addresses": [{"name": "Gazi University Ankara", "source_name": "Gazi University Ankara, Turkey", "street_adddress": "Emniyet mah, Gazi \u00dcniversitesi Rekt\u00f6rl\u00fc\u011f\u00fc Teknik okullar\u0131, 06560 Yenimahalle/Ankara, Turkey", "lat": "39.94202190", "lng": "32.82300500", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8093524"]}, {"id": "c6d55dd73bd124c8e2240630258de96bddb504d8", "title": "Are screening methods useful in feature selection? An empirical study", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05465.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369763"]}, {"id": "b88bace97d214d279e3a2053ccff0b6425295708", "title": "A Novel Framework for Online Supervised Learning with Feature Selection", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "74aeca09284f0941a9c7e7ace0af1cabf0795156", "title": "A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02810.pdf"], "doi": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "title": "Smart Facial Age Estimation with Stacked Deep Network Fusion", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448885"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "00a967cb2d18e1394226ad37930524a31351f6cf", "title": "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05377.pdf"], "doi": []}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "53b61d674f7d7758188ed51b81737d545d1641ab", "title": "Real-time Convolutional Neural Networks for Emotion and Gender Classification", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07557.pdf"], "doi": []}, {"id": "9e0285debd4b0ba7769b389181bd3e0fd7a02af6", "title": "From Face Images and Attributes to Attributes", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "source_name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9e02/85debd4b0ba7769b389181bd3e0fd7a02af6.pdf"], "doi": []}, {"id": "b8c08c1330779283b3fbf06d133faf8bd55ea941", "title": "Online Regression with Feature Selection in Stochastic Data Streams", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "title": "Does A Body Image Tell Age?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545590", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545590", "http://doi.org/10.1109/ICPR.2018.8545590"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "title": "Deep expectation for estimation of fingerprint orientation fields", "addresses": [{"name": "Dermalog Identification Systems, Hamburg, Germany", "source_name": "Dermalog Identification Systems GmbH, Hamburg, Germany", "street_adddress": "Mittelweg 120, 20148 Hamburg, Germany", "lat": "53.57227000", "lng": "9.99472000", "type": "company", "country": "Germany"}, {"name": "Norwegian Biometrics Lab, NTNU, Norway", "source_name": "Norwegian Biometrics Lab, NTNU, Gj\u2298vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272697", "http://doi.org/10.1109/BTAS.2017.8272697"]}, {"id": "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "title": "Evaluating race and sex diversity in the world's largest companies using deep neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02353.pdf"], "doi": []}, {"id": "523854a7d8755e944bd50217c14481fe1329a969", "title": "A Differentially Private Kernel Two-Sample Test", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00380.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "title": "Fusion of classifier predictions for audio-visual emotion recognition", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Singidunum University", "source_name": "Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia", "street_adddress": "Kara\u0111or\u0111eva 65, Beograd 11000, Serbia", "lat": "44.81238400", "lng": "20.45350100", "type": "edu", "country": "Serbia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899608", "http://doi.org/10.1109/ICPR.2016.7899608"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "26c7eda262dfda1c3a3597a3bf1f2f1cc4013425", "title": "Some Like It Hot \u2014 Visual Guidance for Preference Prediction", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.07867.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "title": "Age Estimation by Refining Label Distribution in Deep CNN", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ccbr2017.org/ccbr%20PPT/95%E5%8F%B7%E8%AE%BA%E6%96%87-%E7%94%B3%E6%99%9A%E9%9C%9E%20wanxiahen-ccbr.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-69923-3_10"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "title": "Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5fa/e7810a33ed67852ad6a3e0144cb278b24b41.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "56e079f4eb40744728fd1d7665938b06426338e5", "title": "Bayesian Approaches to Distribution Regression", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.04293.pdf"], "doi": []}, {"id": "8a991beca5bc864bbc1e26df953fd1fbd4dcb4bd", "title": "Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://www.vision.ee.ethz.ch/~timofter/publications/Patcas-IJOMS-2018.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30087062", "http://doi.org/10.1016/j.ijom.2018.07.010"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "title": "Real Time System for Facial Analysis", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05474.pdf"], "doi": []}, {"id": "2d8e5012c3772003d1fef084d9e2ebc87c8deb64", "title": "Automatic Face Aging in Videos via Deep Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "Clemson University", "source_name": "Clemson University", "street_adddress": "Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA", "lat": "34.66869155", "lng": "-82.83743476", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11082.pdf"], "doi": []}, {"id": "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "title": "Robust Joint and Individual Variance Explained", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Sagonas_Robust_Joint_and_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/2209.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100091", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.608", "http://doi.org/10.1109/CVPR.2017.608"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "2b632f090c09435d089ff76220fd31fd314838ae", "title": "Early Adaptation of Deep Priors in Age Prediction from Face Images", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hajibabaei_Early_Adaptation_of_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Hajibabaei-ICCVW-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.192", "http://doi.org/10.1109/ICCVW.2017.192"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "cca9ae621e8228cfa787ec7954bb375536160e0d", "title": "Learning to Collaborate for User-Controlled Privacy", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07410.pdf"], "doi": []}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "title": "Feature specific analysis of a deep convolutional neural network for ageing classification", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471767", "http://doi.org/10.1109/CSNDSP.2018.8471767"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "title": "DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09211.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "title": "Calibrated Prediction Intervals for Neural Network Regressors", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09546.pdf"], "doi": []}, {"id": "2c2f03edc9b76e5ac132b54b2e3313237e22b5e7", "title": "Towards neural art-based face de-identification in video data", "addresses": [{"name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "source_name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "street_adddress": "Buzinski prilaz 32, 10000, Zagreb, Croatia", "lat": "45.74611300", "lng": "15.99676300", "type": "edu", "country": "Croatia"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528406"]}, {"id": "d0296efc3c532269aaa7e8f856f5d1807af847fb", "title": "Improving the face recognition system by hybrid image preprocessing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574866", "http://doi.org/10.1109/CYBER.2016.7574866"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "75f9d3533f175943e33c9155f4038488f32a24bc", "title": "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06817.pdf"], "doi": []}, {"id": "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "title": "Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d060/f2f3641c6a89ade021eea749414a5c6b443f.pdf"], "doi": []}, {"id": "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "title": "Face Aging with Improved Invertible Conditional GANs", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546268", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546268", "http://doi.org/10.1109/ICPR.2018.8546268"]}, {"id": "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "title": "A method of facial wearable items recognition", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8243072"]}, {"id": "366e650a578a3732ebe10267f04bcf9d3129f076", "title": "Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition", "addresses": [{"name": "National Kaohsiung University of Science and Technology", "source_name": "National Kaohsiung University of Science and Technology, Taiwan", "street_adddress": "No. 2\u865f, Zhuoyue Road, Nanzi District, Kaohsiung City, Taiwan 811", "lat": "22.75448450", "lng": "120.33283100", "type": "edu", "country": "Taiwan"}, {"name": "National Kaohsiung University of Hospitality and Tourism", "source_name": "Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan", "street_adddress": "No. 1\u865f, Songhe Road, Xiaogang District, Kaohsiung City, Taiwan 812", "lat": "22.56325390", "lng": "120.37238220", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3133803"]}, {"id": "8aeb3d5a097d33fc20efa046c0ed6cb886498d42", "title": "A Modulation Module for Multi-task Learning with Applications in Image Retrieval", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06708.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "08d41d2f68a2bf0091dc373573ca379de9b16385", "title": "Recursive Chaining of Reversible Image-to-image Translators For Face Aging", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05023.pdf"], "doi": []}, {"id": "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "title": "End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies", "addresses": [{"name": "American University in Cairo", "source_name": "The American University in Cairo", "street_adddress": "\u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0645\u0631\u064a\u0643\u064a\u0629 \u0628\u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0634\u0627\u0631\u0639 \u0627\u0644\u0642\u0635\u0631 \u0627\u0644\u0639\u064a\u0646\u0649, \u0627\u0644\u0642\u0627\u0647\u0631\u0629 \u0627\u0644\u0642\u062f\u064a\u0645\u0629, \u062c\u0627\u0631\u062f\u0646 \u0633\u064a\u062a\u064a, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 11582, \u0645\u0635\u0631", "lat": "30.04287695", "lng": "31.23664139", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03804.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "1491d0938bb4183bd19f2fee3b61997e1918160d", "title": "Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00453.pdf"], "doi": []}, {"id": "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "title": "Multi-task learning for smile detection, emotion recognition and gender classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3155207"]}, {"id": "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "title": "User Profiling through Deep Multimodal Fusion", "addresses": [{"name": "KU Leuven, Leuven, Belgium", "source_name": "KU Leuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159691"]}, {"id": "f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7", "title": "Human features extraction by using anatomical and low level image descriptors from whole body images", "addresses": [{"name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "source_name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "street_adddress": "Cra. 11, Bogot\u00e1, Colombia", "lat": "4.68301050", "lng": "-74.04224330", "type": "edu", "country": "Colombia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743308"]}, {"id": "8d5998cd984e7cce307da7d46f155f9db99c6590", "title": "ChaLearn looking at people: A review of events and resources", "addresses": [{"name": "Open University of Catalonia", "source_name": "Open University of Catalonia, Barcelona, Spain", "street_adddress": "Rambla del Poblenou, 156, 08018 Barcelona, Spain", "lat": "41.40649800", "lng": "2.19454320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966041"]}, {"id": "68573e296f069071d071fc158e974e8bc70c893f", "title": "Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6857/3e296f069071d071fc158e974e8bc70c893f.pdf"], "doi": []}, {"id": "f7b422df567ce9813926461251517761e3e6cda0", "title": "Face aging with conditional generative adversarial networks", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01983.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "6db593d99fabc7f787f41786cb2e37c084f1ad19", "title": "Deep Age Estimation Model Stabilization from Images to Videos", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545283", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545283", "http://doi.org/10.1109/ICPR.2018.8545283"]}, {"id": "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "title": "On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471792", "http://doi.org/10.1109/CSNDSP.2018.8471792"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "2a7b7de7488211471a001044a3a249a117af488a", "title": "Physical Attribute Prediction Using Deep Residual Neural Networks", "addresses": [{"name": "Shahid Beheshti University", "source_name": "Shahid Beheshti University, Shahid Beheshti University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, District 1, Daneshjou Boulevard, 19839 69411, Iran", "lat": "35.79906280", "lng": "51.39468640", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07857.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}, {"id": "1171ec9250743c349e5218d4a01c4fdad94c7707", "title": "Low-Cost Transfer Learning of Face Tasks", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02675.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "f519723238701849f1160d5a9cedebd31017da89", "title": "Impact of multi-focused images on recognition of soft biometric traits", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f519/723238701849f1160d5a9cedebd31017da89.pdf"], "doi": []}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789595", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.105", "http://doi.org/10.1109/CVPRW.2016.105"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "4b9ec224949c79a980a5a66664d0ac6233c3d575", "title": "Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565501", "http://doi.org/10.1109/TMM.2016.2608786"]}, {"id": "10d6fe566125597195cf985084347139a8cdad1e", "title": "Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://haddadi.github.io/papers/ieeeComputer2018hybrid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364651", "http://doi.ieeecomputersociety.org/10.1109/MC.2018.2381113", "http://doi.org/10.1109/MC.2018.2381113"]}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "4905323aaf61952e07f62c18fa662c7da895e40e", "title": "Recovering Joint and Individual Components in Facial Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Onfido, London, United Kingdom", "source_name": "Onfido, London, United Kingdom", "street_adddress": "3 Finsbury Ave, London EC2M 2PA, UK", "lat": "51.51981120", "lng": "-0.08412990", "type": "company", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/final-tpami-rjive.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219732", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2784421", "http://doi.org/10.1109/TPAMI.2017.2784421", "https://www.ncbi.nlm.nih.gov/pubmed/29990036"]}, {"id": "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "title": "Unsupervised Learning of Mixture Models with a Uniform Background Component", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02744.pdf"], "doi": []}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "title": "Learning with Ambiguous Label Distribution for Apparent Age Estimation", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b20c/fbb2348984b4e25b6b9174f3c7b65b6aed9e.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}]} \ No newline at end of file diff --git a/site/datasets/citations/leeds_sports_pose.json b/site/datasets/citations/leeds_sports_pose.json index 1dabe0c9..458b7925 100644 --- a/site/datasets/citations/leeds_sports_pose.json +++ b/site/datasets/citations/leeds_sports_pose.json @@ -1 +1 @@ -{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "paper": {"key": "leeds_sports_pose", "name": "Leeds Sports Pose", "title": "Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation", "year": "2010", "addresses": []}, "citations": [{"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "47382cb7f501188a81bb2e10cfd7aed20285f376", "title": "Articulated Pose Estimation Using Hierarchical Exemplar-Based Models", "addresses": [{"name": "Columbia University ", "source_name": "Columbia University in the City of New York", "street_adddress": "Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA", "lat": "40.80717720", "lng": "-73.96252798", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04118.pdf"], "doi": []}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "2bc5a49e6d8351e276cf5b37fcc0a6eecebd5797", "title": "3D Human pose estimation: A review of the literature and analysis of covariates", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["http://campus.pub.ro/lab7/bionescu/index_files/pub/CVIU_3DHumanPoseEstimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.002"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "title": "Structured Feature Learning for Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09065.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "307f0da392588b172a68512969d1fb61f85fbc0f", "title": "Kinect-supported dataset creation for human pose estimation", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2643195"]}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "title": "Pose from Action: Unsupervised Learning of Pose Features based on Motion", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05420.pdf"], "doi": []}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "e73696016b43314a7bef6015dacbe702af472d96", "title": "End-to-End Recovery of Human Shape and Pose", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06584.pdf"], "doi": []}, {"id": "31c52ecc98ebf046df914fd113abcae334e1cf0e", "title": "Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network", "addresses": [{"name": "Aoyama Gakuin University", "source_name": "Aoyama Gakuin University, Japan Sagamihara, Japan", "street_adddress": "\uff15\u4e01\u76ee-10-1 Fuchinobe, Chuo Ward, Sagamihara, Kanagawa Prefecture 252-5258, Japan", "lat": "35.56670000", "lng": "139.40225340", "type": "edu", "country": "Japan"}, {"name": "Hokkai Gakuen University Sapporo", "source_name": "Hokkai Gakuen University Sapporo, Japan", "street_adddress": "4 Chome-1-40 Asahimachi, Toyohira Ward, Sapporo, Hokkaido 062-0911, Japan", "lat": "43.04627140", "lng": "141.36802400", "type": "edu", "country": "Japan"}, {"name": "Yokohama National University", "source_name": "Yokohama National University, Yokohama, Japan", "street_adddress": "Japan, \u3012240-8501 Kanagawa Prefecture, Yokohama, Hodogaya-ku, \u5e38\u76e4\u53f0\uff17\uff19\u2212\uff11", "lat": "35.47465410", "lng": "139.58814660", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267878"]}, {"id": "77d51bea8f2511d2b039a6da3f5319857d6c7ee9", "title": "Human pose estimation using structural support vector machines", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.eecs.qmul.ac.uk/~sgg/papers/ChenGongXiang_ICCV_SISM2011.pdf", "http://www.researchgate.net/profile/Shaogang_Gong/publication/221429914_Human_pose_estimation_using_structural_support_vector_machines/links/5454b5660cf26d5090a5abe6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130340", "http://doi.org/10.1109/ICCVW.2011.6130340"]}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "fed58c1faf9af15e1215e47a432f84b840f42857", "title": "Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed5/8c1faf9af15e1215e47a432f84b840f42857.pdf"], "doi": []}, {"id": "af58701bdd28a49d234ba87d8f1b90d1f001184e", "title": "Part-based pose estimation with local and non-local contextual information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af58/701bdd28a49d234ba87d8f1b90d1f001184e.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "7280000cba3a3279454890372668362d00cf3ab0", "title": "Domain adaptation of articulated pose estimation via synthetic pose prior", "addresses": [{"name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "source_name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "street_adddress": "239-0847, Japan", "lat": "35.22487410", "lng": "139.67454810", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986820", "http://doi.org/10.23919/MVA.2017.7986820"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "title": "Fashion Landmark Detection in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03049.pdf"], "doi": []}, {"id": "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "title": "Learning a sequential search for landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_landmarks_cvpr2015.pdf", "http://vision.cs.uiuc.edu/projects/lssland/lsslandmark.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298964", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298964", "http://doi.org/10.1109/CVPR.2015.7298964"]}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "f266c3bb846ef13a8bf0d09a66461e1e77464475", "title": "Automatic Content Description and Annotation of Sport Images using Classification Techniques", "addresses": [{"name": "Ain shams university", "source_name": "Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt", "street_adddress": "\u0627\u0644\u0642\u0627\u0626\u062f\u060c El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.07825920", "lng": "31.28493840", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2908458"]}, {"id": "16be1bcce9a9cd94c571313da26590c80fcec5b2", "title": "Dancing like a superstar: Action guidance based on pose estimation and conditional pose alignment", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296494", "http://doi.org/10.1109/ICIP.2017.8296494"]}, {"id": "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "title": "Human Pose Estimation with Iterative Error Feedback", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.06550.pdf"], "doi": []}, {"id": "c24d1b707d2a8bf019e11dbf35c457384e044548", "title": "Stereo Pictorial Structure for 2D articulated human pose estimation", "addresses": [{"name": "University of C\u00f3rdoba", "source_name": "University of C\u00f3rdoba, Spain", "street_adddress": "Av. de Medina Azahara, 5, 14071 C\u00f3rdoba, Spain", "lat": "37.88469010", "lng": "-4.78850280", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-015-0742-6", "https://www.wikidata.org/entity/Q57588931"]}, {"id": "4543052aeaf52fdb01fced9b3ccf97827582cef5", "title": "Quantized Densely Connected U-Nets for Efficient Landmark Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02194.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "title": "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07495.pdf"], "doi": []}, {"id": "2e1ff08fb5790e3b5ba7864408628467795a9df4", "title": "Human Pose Estimation with Fields of Parts", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930331/esm1.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930331.pdf", "http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_22"]}, {"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "title": "Learning effective human pose estimation from inaccurate annotation", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995318"]}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "f3062992cb10107b9d1e3699c8a61d5281886c4b", "title": "Foreground Consistent Human Pose Estimation Using Branch and Bound", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f306/2992cb10107b9d1e3699c8a61d5281886c4b.pdf"], "doi": []}, {"id": "230aa8fe68068f2e64876bdf1c41d20b4923288f", "title": "Context aware model for articulated human pose estimation", "addresses": [{"name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences", "source_name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350948", "http://doi.org/10.1109/ICIP.2015.7350948"]}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "fd3131b370a81e25aa962d266b2b32922ea4e613", "title": "Tracking 3D human pose with large root node uncertainty", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.cs.swan.ac.uk/~csbcd/0794.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995502", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995502", "http://doi.org/10.1109/CVPR.2011.5995502"]}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "9a27d5efc7b74ba23c07d3a45f20285998bf1577", "title": "MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00104.pdf"], "doi": []}, {"id": "0441e485349cda6aee6fa64f11a39e8245eeac74", "title": "Silhouette-based object phenotype recognition using 3D shape priors", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/iccv2011_18_ckc_pheno_recognition_camera_ready.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/pheno_recog_iccv2011_longversion.pdf", "https://labicvl.github.io/docs/pubs/Chen_ICCV_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126221", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126221", "http://doi.org/10.1109/ICCV.2011.6126221"]}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "title": "EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd87/fea30b68ad1c9ebcb71a224c53cde3516adb.pdf"], "doi": []}, {"id": "0c56f414251d6c9f43623ee683dc6cae3be1045a", "title": "Towards Understanding Action Recognition", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/hjhuang/papers/JHMDB_ICCV_2013_corrected.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/jhuangICCV2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Jhuang_Towards_Understanding_Action_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751508", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.396", "http://doi.org/10.1109/ICCV.2013.396"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "title": "Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08985.pdf"], "doi": []}, {"id": "228408c76823355010bb13e5b3f32823b35a176c", "title": "Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2284/08c76823355010bb13e5b3f32823b35a176c.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "29be6e76d9ed777ca032c40a6ab374a44bde38bd", "title": "Latent SVMs for Human Detection with a Locally Affine Deformation Field", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e169/07d150677a4ca11271db668ccff2149e034b.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b7676adde75c6d1bcabf56c7e2f7fa484155e8a8", "title": "ChaLearn Looking at People Challenge 2014: Dataset and Results", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f8d8/4a358574c40664b10279e5b014347d5327d7.pdf"], "doi": []}, {"id": "100c452a508711c11ab643d52e54c441cf58403e", "title": "Fast Human Pose Estimation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05419.pdf"], "doi": []}, {"id": "484c2617471fd742c4806f9281e5add45c6831a7", "title": "LSTM Self-Supervision for Detailed Behavior Analysis", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Brattoli_LSTM_Self-Supervision_for_CVPR_2017_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1911875248/brattoli_buechler_cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.399", "http://doi.org/10.1109/CVPR.2017.399"]}, {"id": "87a66ccc68374ffb704ee6fb9fa7df369718095c", "title": "Multi-Person Pose Estimation with Local Joint-to-Person Associations", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08526.pdf"], "doi": []}, {"id": "d02b32b012ffba2baeb80dca78e7857aaeececb0", "title": "Human Pose Estimation : Extension and Application", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d02b/32b012ffba2baeb80dca78e7857aaeececb0.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "title": "Pose Machines: Articulated Pose Estimation via Inference Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67dc/de46f8188f3f0676b7529a2e5828ab611e4d.pdf"], "doi": []}, {"id": "6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c", "title": "Improving human body part detection using deep learning and motion consistency", "addresses": [{"name": "Institute of Infocomm Research, A-STAR Singapore", "source_name": "Institute of Infocomm Research, A-STAR Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838651", "http://doi.org/10.1109/ICARCV.2016.7838651"]}, {"id": "1e254f77ccbf3bd796ac3f60001384f59eba4ec2", "title": "Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Disney Research, Pittsburgh", "source_name": "Disney Research Pittsburgh, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1e25/4f77ccbf3bd796ac3f60001384f59eba4ec2.pdf"], "doi": []}, {"id": "97295e92dfe49f37de65c5130097ccab84cfe2f7", "title": "Inner Space Preserving Generative Pose Machine", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02104.pdf"], "doi": []}, {"id": "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "title": "Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05671.pdf"], "doi": []}, {"id": "4803b306597de49bbc8bf1a1d191063c2d2c9ebe", "title": "Human Pose Estimation Method Based on Flexible Model and Deep Learning", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3278035"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "fba89dd3240f49b3e5697e3665dc949a5d7ef31a", "title": "Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11975.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb", "title": "Multi-context Attention for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07432.pdf"], "doi": []}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "ce3edf04c9f0c9da462832cbf8c5a1982e3e6bf8", "title": "Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11147.pdf"], "doi": []}, {"id": "3884b78a06ccfde3249c16ac450b5254d033126a", "title": "Dual Path Networks for Multi-Person Human Pose Estimation", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.10192.pdf"], "doi": []}, {"id": "c0de99c5f15898e2d28f9946436fec2b831d4eae", "title": "ClothCap: seamless 4D clothing capture and retargeting", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3073711"]}, {"id": "537f8c50369490cc90303522dd4ab80100fa1e59", "title": "Exploring feature dimensionality reduction methods for enhancing automatic sport image annotation", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5417-z"]}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "c81b303005459285a5864ea4de71f77025cd5be5", "title": "Norm-Induced Entropies for Decision Forests", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045988", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.134", "http://doi.org/10.1109/WACV.2015.134"]}, {"id": "27caf667432ad7dbb01921696857303641b34f83", "title": "Entropy Driven Hierarchical Search for 3D Human Pose Estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a815/fae4af3e84fc091c813459e1bec46687a474.pdf"], "doi": []}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "b7a09eaadcb21bf9ab234d87c954e329518580c5", "title": "Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05708.pdf"], "doi": []}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "550c8162757b9fb649efab8529d86daa99700fb1", "title": "Athlete Pose Estimation by a Global-Local Network", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w2/papers/Hwang_Athlete_Pose_Estimation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014754", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.20", "http://doi.org/10.1109/CVPRW.2017.20"]}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "title": "DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06364.pdf"], "doi": []}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "d38af10096aa90dfccd7e4cec9757900bf6958bd", "title": "MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04067.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "309acdd149f5f0ea12acb103b36bb59e6e631671", "title": "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.00295.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "1a39ce3f624844a1288b6deff545f6c4d79c4fae", "title": "DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07131.pdf"], "doi": []}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "title": "Human Pose Estimation using Deep Consensus Voting", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08212.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "5d8c94a69414b119b245df4d959be99c7c3b9b61", "title": "A strong bilayer appearance model for human pose estimation from a high freedom still image", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532565", "http://doi.org/10.1109/ICIP.2016.7532565"]}, {"id": "54378aef6ec3423ad44d61de61b301be9f5c686d", "title": "Deep learning for visual understanding: A review", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://deeplearning.ir/wp-content/uploads/2016/07/Deep-learning-for-visual-understanding_-A-review.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.09.116"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa", "title": "Depth Sweep Regression Forests for Estimating 3D Human Pose from Images", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d8b/aae88347117cfc9e161d8f93bee3c98f3616.pdf"], "doi": []}, {"id": "1178beb48d666d7fc41b2d476f6a92450c0726c0", "title": "Challenges in multimodal gesture recognition", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.jmlr.org/papers/volume17/14-468/14-468.pdf"], "doi": ["http://jmlr.org/papers/v17/14-468.html"]}, {"id": "d675a54dd5e353f99a1bec3b2ddab925a6563653", "title": "Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10898.pdf"], "doi": []}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "title": "Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02179.pdf"], "doi": []}, {"id": "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "title": "Deep Fully-Connected Part-Based Models for Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4209/f140d64ce6fb891eb6ada26eaeb40af123e2.pdf"], "doi": []}, {"id": "aba742ca4edc7dd37ff481d12e4b94c153baae77", "title": "Pose-Guided Human Parsing with Deep Learned Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03881.pdf"], "doi": []}, {"id": "bd17484e0a6773a74c51c41e773e202080682b3b", "title": "2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation", "addresses": [{"name": "Kwangwoon University", "source_name": "Kwangwoon University, Seoul, Republic of Korea", "street_adddress": "20 Gwangun-ro, Wolgye 1(il)-dong, Nowon-gu, Seoul, South Korea", "lat": "37.61949650", "lng": "127.05969580", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03986.pdf"], "doi": []}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "title": "SFV: reinforcement learning of physical skills from videos", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3275014"]}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "1b73bd672c6abe6918f91812f4334db23189d1d6", "title": "Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00389.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "4696031ddcdfab8b768817fd974b601b6b68c7f1", "title": "3D Pose Estimation from a Single Monocular Image", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4696/031ddcdfab8b768817fd974b601b6b68c7f1.pdf"], "doi": []}, {"id": "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "title": "Learning to Localize Little Landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_cvpr2016_landmarks.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf", "http://vision.cs.illinois.edu/projects/litland/littleland.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780404", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.35", "http://doi.org/10.1109/CVPR.2016.35"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "d847d2b75bf301007a9e67889bdae5b147559ed3", "title": "Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03880.pdf"], "doi": []}, {"id": "1e768d4f8114969070dc2b8864c44ccbf7ca042f", "title": "Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919293", "http://doi.org/10.1109/LSP.2014.2362553"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b5b63c7b9ded97da404c404be0a47c3fd91fc477", "title": "Posterior constraints for double-counting problem in clustered pose estimation", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466781", "http://doi.org/10.1109/ICIP.2012.6466781"]}, {"id": "77b7572bf1426b0d2fa8d34fab41ca7f0086f28d", "title": "Human Pose Estimation by Exploiting Spatial and Temporal Constraints in Body-Part Configurations", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801901", "http://doi.org/10.1109/ACCESS.2016.2643439"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "title": "Accurate static pose estimation combining direct regression and geodesic extrema", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808959/1/Holt_FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553768", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553768", "http://doi.org/10.1109/FG.2013.6553768"]}, {"id": "a0f4ce26c8cec8d00e0250388f448570ac7dfc2e", "title": "CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00324.pdf"], "doi": []}, {"id": "95f641ddebc34740b7d44b0b8e8bff0163534891", "title": "Enhancing sports image search and retrieval using multi-modality ontology", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275328"]}, {"id": "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "title": "Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4065/d038ecbda579a0791aaf46fc62bbcba5b1f3.pdf"], "doi": []}, {"id": "a287643d3eddca3dcc09b3532f2b070a28d4a022", "title": "Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07420.pdf"], "doi": []}, {"id": "13d6585962fd165f6e6bf5f9fda0f0d73d7128f5", "title": "Creatures great and SMAL: Recovering the shape and motion of animals from video", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05804.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "45e8ef229fae18b0a2ab328037d8e520866c3c81", "title": "Learning Feature Pyramids for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01101.pdf"], "doi": []}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "5ad0e283c4c2aa7b9985012979835d0131fe73d8", "title": "Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08050.pdf"], "doi": []}, {"id": "6111832ed676ad0789d030577c87d4a539242bd3", "title": "CU-Net: Coupled U-Nets", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06521.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "title": "Subspace Procrustes Analysis", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "source_name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer de Sant Josep, 21, 23, 08800 Vilanova i la Geltr\u00fa, Barcelona, Spain", "lat": "41.22880090", "lng": "1.72194950", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "source_name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer Meta\u0140l\u00fargia, 11, 08800 Villanueva y Geltr\u00fa, Barcelona, Spain", "lat": "41.22311030", "lng": "1.73564710", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://humansensing.cs.cmu.edu/papers/subspace_pa.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w05/W05-31.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/subspace_pa.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0938-x", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2171&context=robotics"]}, {"id": "6ebfec00388b6975c8c38aed1ebe006eae79bcfe", "title": "Modeling Instance Appearance for Recognition-Can We Do Better Than EM ?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6ebf/ec00388b6975c8c38aed1ebe006eae79bcfe.pdf"], "doi": []}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "81fc46dd71121cfafbb11455745ae62f6eca0b25", "title": "Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81fc/46dd71121cfafbb11455745ae62f6eca0b25.pdf"], "doi": []}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "29cbbed59a47566851deb63602a34c08e9ad3645", "title": "Improving Multi-Person Pose Estimation using Label Correction", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03331.pdf"], "doi": []}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "5f7fd05f09dd6433cb273a1d33bdf75873509983", "title": "A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5f7f/d05f09dd6433cb273a1d33bdf75873509983.pdf"], "doi": []}, {"id": "a6270914cf5f60627a1332bcc3f5951c9eea3be0", "title": "Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02522.pdf"], "doi": []}, {"id": "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "title": "Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48c/71153265d6da7fbc4b16327320a5cbfa6cba.pdf"], "doi": []}, {"id": "93ece2d76dc69c7340c6e2c499b58c27dc9e3de7", "title": "Efficient pose machine based on parameter-sensitive hashing", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "source_name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Keji South 12th Rd, \u98de\u4e9a\u8fbe\u79d1\u6280\u5927\u53a63\u5c42\u30015-10\u5c42\u30011202", "lat": "22.53937100", "lng": "113.95574800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359590"]}, {"id": "a3ab3385a634dc6022dca37e65494081b908f41f", "title": "Pose Estimation Based on Pose Cluster and Candidates Recombination", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877637", "http://doi.org/10.1109/TCSVT.2014.2347511"]}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "title": "Personalizing Human Video Pose Estimation", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780703"]}, {"id": "545388d4a8e79cab605cea9b3e1ff1da0f848f8e", "title": "Fast Online Upper Body Pose Estimation from Video", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5453/88d4a8e79cab605cea9b3e1ff1da0f848f8e.pdf"], "doi": []}, {"id": "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "title": "Human Pose Estimation Using Body Parts Dependent Joint Regressors", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_humanpose2d_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d041.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/126/jgall_humanpose2d_cvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619235", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.391", "http://doi.org/10.1109/CVPR.2013.391"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "title": "Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d952/13a0ef820c93bf0a41e1ce24aea1dc9f137d.pdf"], "doi": []}, {"id": "31e8d53b144efe60be647f8d93e824bf8d0f4161", "title": "BodyNet: Volumetric Inference of 3D Human Body Shapes", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04875.pdf"], "doi": []}]} \ No newline at end of file +{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "paper": {"key": "leeds_sports_pose", "name": "Leeds Sports Pose", "title": "Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation", "year": "2010", "addresses": []}, "citations": [{"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "47382cb7f501188a81bb2e10cfd7aed20285f376", "title": "Articulated Pose Estimation Using Hierarchical Exemplar-Based Models", "addresses": [{"name": "Columbia University ", "source_name": "Columbia University in the City of New York", "street_adddress": "Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA", "lat": "40.80717720", "lng": "-73.96252798", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04118.pdf"], "doi": []}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "2bc5a49e6d8351e276cf5b37fcc0a6eecebd5797", "title": "3D Human pose estimation: A review of the literature and analysis of covariates", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["http://campus.pub.ro/lab7/bionescu/index_files/pub/CVIU_3DHumanPoseEstimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.002"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "title": "Structured Feature Learning for Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09065.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "307f0da392588b172a68512969d1fb61f85fbc0f", "title": "Kinect-supported dataset creation for human pose estimation", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2643195"]}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "title": "Pose from Action: Unsupervised Learning of Pose Features based on Motion", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05420.pdf"], "doi": []}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "e73696016b43314a7bef6015dacbe702af472d96", "title": "End-to-End Recovery of Human Shape and Pose", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06584.pdf"], "doi": []}, {"id": "31c52ecc98ebf046df914fd113abcae334e1cf0e", "title": "Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network", "addresses": [{"name": "Aoyama Gakuin University", "source_name": "Aoyama Gakuin University, Japan Sagamihara, Japan", "street_adddress": "\uff15\u4e01\u76ee-10-1 Fuchinobe, Chuo Ward, Sagamihara, Kanagawa Prefecture 252-5258, Japan", "lat": "35.56670000", "lng": "139.40225340", "type": "edu", "country": "Japan"}, {"name": "Hokkai Gakuen University Sapporo", "source_name": "Hokkai Gakuen University Sapporo, Japan", "street_adddress": "4 Chome-1-40 Asahimachi, Toyohira Ward, Sapporo, Hokkaido 062-0911, Japan", "lat": "43.04627140", "lng": "141.36802400", "type": "edu", "country": "Japan"}, {"name": "Yokohama National University", "source_name": "Yokohama National University, Yokohama, Japan", "street_adddress": "Japan, \u3012240-8501 Kanagawa Prefecture, Yokohama, Hodogaya-ku, \u5e38\u76e4\u53f0\uff17\uff19\u2212\uff11", "lat": "35.47465410", "lng": "139.58814660", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267878"]}, {"id": "77d51bea8f2511d2b039a6da3f5319857d6c7ee9", "title": "Human pose estimation using structural support vector machines", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.eecs.qmul.ac.uk/~sgg/papers/ChenGongXiang_ICCV_SISM2011.pdf", "http://www.researchgate.net/profile/Shaogang_Gong/publication/221429914_Human_pose_estimation_using_structural_support_vector_machines/links/5454b5660cf26d5090a5abe6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130340", "http://doi.org/10.1109/ICCVW.2011.6130340"]}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "fed58c1faf9af15e1215e47a432f84b840f42857", "title": "Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed5/8c1faf9af15e1215e47a432f84b840f42857.pdf"], "doi": []}, {"id": "af58701bdd28a49d234ba87d8f1b90d1f001184e", "title": "Part-based pose estimation with local and non-local contextual information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af58/701bdd28a49d234ba87d8f1b90d1f001184e.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "7280000cba3a3279454890372668362d00cf3ab0", "title": "Domain adaptation of articulated pose estimation via synthetic pose prior", "addresses": [{"name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "source_name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "street_adddress": "239-0847, Japan", "lat": "35.22487410", "lng": "139.67454810", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986820", "http://doi.org/10.23919/MVA.2017.7986820"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "title": "Fashion Landmark Detection in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03049.pdf"], "doi": []}, {"id": "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "title": "Learning a sequential search for landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_landmarks_cvpr2015.pdf", "http://vision.cs.uiuc.edu/projects/lssland/lsslandmark.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298964", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298964", "http://doi.org/10.1109/CVPR.2015.7298964"]}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "f266c3bb846ef13a8bf0d09a66461e1e77464475", "title": "Automatic Content Description and Annotation of Sport Images using Classification Techniques", "addresses": [{"name": "Ain shams university", "source_name": "Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt", "street_adddress": "\u0627\u0644\u0642\u0627\u0626\u062f\u060c El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.07825920", "lng": "31.28493840", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2908458"]}, {"id": "16be1bcce9a9cd94c571313da26590c80fcec5b2", "title": "Dancing like a superstar: Action guidance based on pose estimation and conditional pose alignment", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296494", "http://doi.org/10.1109/ICIP.2017.8296494"]}, {"id": "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "title": "Human Pose Estimation with Iterative Error Feedback", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.06550.pdf"], "doi": []}, {"id": "c24d1b707d2a8bf019e11dbf35c457384e044548", "title": "Stereo Pictorial Structure for 2D articulated human pose estimation", "addresses": [{"name": "University of C\u00f3rdoba", "source_name": "University of C\u00f3rdoba, Spain", "street_adddress": "Av. de Medina Azahara, 5, 14071 C\u00f3rdoba, Spain", "lat": "37.88469010", "lng": "-4.78850280", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-015-0742-6", "https://www.wikidata.org/entity/Q57588931"]}, {"id": "4543052aeaf52fdb01fced9b3ccf97827582cef5", "title": "Quantized Densely Connected U-Nets for Efficient Landmark Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02194.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "008baae7037a47f69804c2eb8438d366a6e67486", "title": "3D Human Pose Estimation via Deep Learning from 2D Annotations", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cs.bc.edu/~hjiang/papers/conference/3dv16.pdf", "http://www.cs.bc.edu/~hjiang/papers/conference/3dv16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785134", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.84", "http://doi.org/10.1109/3DV.2016.84"]}, {"id": "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "title": "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07495.pdf"], "doi": []}, {"id": "2e1ff08fb5790e3b5ba7864408628467795a9df4", "title": "Human Pose Estimation with Fields of Parts", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930331/esm1.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930331.pdf", "http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_22"]}, {"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "title": "Learning effective human pose estimation from inaccurate annotation", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995318"]}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "f3062992cb10107b9d1e3699c8a61d5281886c4b", "title": "Foreground Consistent Human Pose Estimation Using Branch and Bound", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f306/2992cb10107b9d1e3699c8a61d5281886c4b.pdf"], "doi": []}, {"id": "230aa8fe68068f2e64876bdf1c41d20b4923288f", "title": "Context aware model for articulated human pose estimation", "addresses": [{"name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences", "source_name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350948", "http://doi.org/10.1109/ICIP.2015.7350948"]}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "fd3131b370a81e25aa962d266b2b32922ea4e613", "title": "Tracking 3D human pose with large root node uncertainty", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.cs.swan.ac.uk/~csbcd/0794.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995502", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995502", "http://doi.org/10.1109/CVPR.2011.5995502"]}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "9a27d5efc7b74ba23c07d3a45f20285998bf1577", "title": "MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00104.pdf"], "doi": []}, {"id": "0441e485349cda6aee6fa64f11a39e8245eeac74", "title": "Silhouette-based object phenotype recognition using 3D shape priors", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/iccv2011_18_ckc_pheno_recognition_camera_ready.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/pheno_recog_iccv2011_longversion.pdf", "https://labicvl.github.io/docs/pubs/Chen_ICCV_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126221", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126221", "http://doi.org/10.1109/ICCV.2011.6126221"]}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "title": "EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd87/fea30b68ad1c9ebcb71a224c53cde3516adb.pdf"], "doi": []}, {"id": "0c56f414251d6c9f43623ee683dc6cae3be1045a", "title": "Towards Understanding Action Recognition", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/hjhuang/papers/JHMDB_ICCV_2013_corrected.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/jhuangICCV2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Jhuang_Towards_Understanding_Action_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751508", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.396", "http://doi.org/10.1109/ICCV.2013.396"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "title": "Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08985.pdf"], "doi": []}, {"id": "228408c76823355010bb13e5b3f32823b35a176c", "title": "Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2284/08c76823355010bb13e5b3f32823b35a176c.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "29be6e76d9ed777ca032c40a6ab374a44bde38bd", "title": "Latent SVMs for Human Detection with a Locally Affine Deformation Field", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e169/07d150677a4ca11271db668ccff2149e034b.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b7676adde75c6d1bcabf56c7e2f7fa484155e8a8", "title": "ChaLearn Looking at People Challenge 2014: Dataset and Results", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f8d8/4a358574c40664b10279e5b014347d5327d7.pdf"], "doi": []}, {"id": "100c452a508711c11ab643d52e54c441cf58403e", "title": "Fast Human Pose Estimation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05419.pdf"], "doi": []}, {"id": "484c2617471fd742c4806f9281e5add45c6831a7", "title": "LSTM Self-Supervision for Detailed Behavior Analysis", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Brattoli_LSTM_Self-Supervision_for_CVPR_2017_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1911875248/brattoli_buechler_cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.399", "http://doi.org/10.1109/CVPR.2017.399"]}, {"id": "87a66ccc68374ffb704ee6fb9fa7df369718095c", "title": "Multi-Person Pose Estimation with Local Joint-to-Person Associations", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08526.pdf"], "doi": []}, {"id": "d02b32b012ffba2baeb80dca78e7857aaeececb0", "title": "Human Pose Estimation : Extension and Application", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d02b/32b012ffba2baeb80dca78e7857aaeececb0.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "title": "Pose Machines: Articulated Pose Estimation via Inference Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67dc/de46f8188f3f0676b7529a2e5828ab611e4d.pdf"], "doi": []}, {"id": "6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c", "title": "Improving human body part detection using deep learning and motion consistency", "addresses": [{"name": "Institute of Infocomm Research, A-STAR Singapore", "source_name": "Institute of Infocomm Research, A-STAR Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838651", "http://doi.org/10.1109/ICARCV.2016.7838651"]}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}, {"id": "1e254f77ccbf3bd796ac3f60001384f59eba4ec2", "title": "Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Disney Research, Pittsburgh", "source_name": "Disney Research Pittsburgh, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1e25/4f77ccbf3bd796ac3f60001384f59eba4ec2.pdf"], "doi": []}, {"id": "97295e92dfe49f37de65c5130097ccab84cfe2f7", "title": "Inner Space Preserving Generative Pose Machine", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02104.pdf"], "doi": []}, {"id": "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "title": "Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05671.pdf"], "doi": []}, {"id": "4803b306597de49bbc8bf1a1d191063c2d2c9ebe", "title": "Human Pose Estimation Method Based on Flexible Model and Deep Learning", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3278035"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "fba89dd3240f49b3e5697e3665dc949a5d7ef31a", "title": "Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11975.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb", "title": "Multi-context Attention for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07432.pdf"], "doi": []}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "ce3edf04c9f0c9da462832cbf8c5a1982e3e6bf8", "title": "Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11147.pdf"], "doi": []}, {"id": "3884b78a06ccfde3249c16ac450b5254d033126a", "title": "Dual Path Networks for Multi-Person Human Pose Estimation", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.10192.pdf"], "doi": []}, {"id": "c0de99c5f15898e2d28f9946436fec2b831d4eae", "title": "ClothCap: seamless 4D clothing capture and retargeting", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3073711"]}, {"id": "537f8c50369490cc90303522dd4ab80100fa1e59", "title": "Exploring feature dimensionality reduction methods for enhancing automatic sport image annotation", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5417-z"]}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "c81b303005459285a5864ea4de71f77025cd5be5", "title": "Norm-Induced Entropies for Decision Forests", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045988", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.134", "http://doi.org/10.1109/WACV.2015.134"]}, {"id": "27caf667432ad7dbb01921696857303641b34f83", "title": "Entropy Driven Hierarchical Search for 3D Human Pose Estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a815/fae4af3e84fc091c813459e1bec46687a474.pdf"], "doi": []}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "b7a09eaadcb21bf9ab234d87c954e329518580c5", "title": "Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05708.pdf"], "doi": []}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "550c8162757b9fb649efab8529d86daa99700fb1", "title": "Athlete Pose Estimation by a Global-Local Network", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w2/papers/Hwang_Athlete_Pose_Estimation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014754", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.20", "http://doi.org/10.1109/CVPRW.2017.20"]}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "title": "DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06364.pdf"], "doi": []}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "d38af10096aa90dfccd7e4cec9757900bf6958bd", "title": "MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04067.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "309acdd149f5f0ea12acb103b36bb59e6e631671", "title": "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.00295.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "1a39ce3f624844a1288b6deff545f6c4d79c4fae", "title": "DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07131.pdf"], "doi": []}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "title": "Human Pose Estimation using Deep Consensus Voting", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08212.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "5d8c94a69414b119b245df4d959be99c7c3b9b61", "title": "A strong bilayer appearance model for human pose estimation from a high freedom still image", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532565", "http://doi.org/10.1109/ICIP.2016.7532565"]}, {"id": "54378aef6ec3423ad44d61de61b301be9f5c686d", "title": "Deep learning for visual understanding: A review", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://deeplearning.ir/wp-content/uploads/2016/07/Deep-learning-for-visual-understanding_-A-review.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.09.116"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa", "title": "Depth Sweep Regression Forests for Estimating 3D Human Pose from Images", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d8b/aae88347117cfc9e161d8f93bee3c98f3616.pdf"], "doi": []}, {"id": "1178beb48d666d7fc41b2d476f6a92450c0726c0", "title": "Challenges in multimodal gesture recognition", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.jmlr.org/papers/volume17/14-468/14-468.pdf"], "doi": ["http://jmlr.org/papers/v17/14-468.html"]}, {"id": "d675a54dd5e353f99a1bec3b2ddab925a6563653", "title": "Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10898.pdf"], "doi": []}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "title": "Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02179.pdf"], "doi": []}, {"id": "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "title": "Deep Fully-Connected Part-Based Models for Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4209/f140d64ce6fb891eb6ada26eaeb40af123e2.pdf"], "doi": []}, {"id": "aba742ca4edc7dd37ff481d12e4b94c153baae77", "title": "Pose-Guided Human Parsing with Deep Learned Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03881.pdf"], "doi": []}, {"id": "bd17484e0a6773a74c51c41e773e202080682b3b", "title": "2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation", "addresses": [{"name": "Kwangwoon University", "source_name": "Kwangwoon University, Seoul, Republic of Korea", "street_adddress": "20 Gwangun-ro, Wolgye 1(il)-dong, Nowon-gu, Seoul, South Korea", "lat": "37.61949650", "lng": "127.05969580", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03986.pdf"], "doi": []}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "title": "SFV: reinforcement learning of physical skills from videos", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3275014"]}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "1b73bd672c6abe6918f91812f4334db23189d1d6", "title": "Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00389.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "4696031ddcdfab8b768817fd974b601b6b68c7f1", "title": "3D Pose Estimation from a Single Monocular Image", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4696/031ddcdfab8b768817fd974b601b6b68c7f1.pdf"], "doi": []}, {"id": "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "title": "Learning to Localize Little Landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_cvpr2016_landmarks.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf", "http://vision.cs.illinois.edu/projects/litland/littleland.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780404", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.35", "http://doi.org/10.1109/CVPR.2016.35"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "d847d2b75bf301007a9e67889bdae5b147559ed3", "title": "Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03880.pdf"], "doi": []}, {"id": "1e768d4f8114969070dc2b8864c44ccbf7ca042f", "title": "Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919293", "http://doi.org/10.1109/LSP.2014.2362553"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b5b63c7b9ded97da404c404be0a47c3fd91fc477", "title": "Posterior constraints for double-counting problem in clustered pose estimation", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466781", "http://doi.org/10.1109/ICIP.2012.6466781"]}, {"id": "77b7572bf1426b0d2fa8d34fab41ca7f0086f28d", "title": "Human Pose Estimation by Exploiting Spatial and Temporal Constraints in Body-Part Configurations", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801901", "http://doi.org/10.1109/ACCESS.2016.2643439"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "title": "Accurate static pose estimation combining direct regression and geodesic extrema", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808959/1/Holt_FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553768", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553768", "http://doi.org/10.1109/FG.2013.6553768"]}, {"id": "a0f4ce26c8cec8d00e0250388f448570ac7dfc2e", "title": "CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00324.pdf"], "doi": []}, {"id": "95f641ddebc34740b7d44b0b8e8bff0163534891", "title": "Enhancing sports image search and retrieval using multi-modality ontology", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275328"]}, {"id": "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "title": "Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4065/d038ecbda579a0791aaf46fc62bbcba5b1f3.pdf"], "doi": []}, {"id": "a287643d3eddca3dcc09b3532f2b070a28d4a022", "title": "Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07420.pdf"], "doi": []}, {"id": "13d6585962fd165f6e6bf5f9fda0f0d73d7128f5", "title": "Creatures great and SMAL: Recovering the shape and motion of animals from video", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05804.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "45e8ef229fae18b0a2ab328037d8e520866c3c81", "title": "Learning Feature Pyramids for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01101.pdf"], "doi": []}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "5ad0e283c4c2aa7b9985012979835d0131fe73d8", "title": "Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08050.pdf"], "doi": []}, {"id": "6111832ed676ad0789d030577c87d4a539242bd3", "title": "CU-Net: Coupled U-Nets", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06521.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "title": "Subspace Procrustes Analysis", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "source_name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer de Sant Josep, 21, 23, 08800 Vilanova i la Geltr\u00fa, Barcelona, Spain", "lat": "41.22880090", "lng": "1.72194950", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "source_name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer Meta\u0140l\u00fargia, 11, 08800 Villanueva y Geltr\u00fa, Barcelona, Spain", "lat": "41.22311030", "lng": "1.73564710", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://humansensing.cs.cmu.edu/papers/subspace_pa.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w05/W05-31.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/subspace_pa.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0938-x", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2171&context=robotics"]}, {"id": "6ebfec00388b6975c8c38aed1ebe006eae79bcfe", "title": "Modeling Instance Appearance for Recognition-Can We Do Better Than EM ?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6ebf/ec00388b6975c8c38aed1ebe006eae79bcfe.pdf"], "doi": []}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "81fc46dd71121cfafbb11455745ae62f6eca0b25", "title": "Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81fc/46dd71121cfafbb11455745ae62f6eca0b25.pdf"], "doi": []}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "29cbbed59a47566851deb63602a34c08e9ad3645", "title": "Improving Multi-Person Pose Estimation using Label Correction", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03331.pdf"], "doi": []}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "5f7fd05f09dd6433cb273a1d33bdf75873509983", "title": "A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5f7f/d05f09dd6433cb273a1d33bdf75873509983.pdf"], "doi": []}, {"id": "a6270914cf5f60627a1332bcc3f5951c9eea3be0", "title": "Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02522.pdf"], "doi": []}, {"id": "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "title": "Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48c/71153265d6da7fbc4b16327320a5cbfa6cba.pdf"], "doi": []}, {"id": "93ece2d76dc69c7340c6e2c499b58c27dc9e3de7", "title": "Efficient pose machine based on parameter-sensitive hashing", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "source_name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Keji South 12th Rd, \u98de\u4e9a\u8fbe\u79d1\u6280\u5927\u53a63\u5c42\u30015-10\u5c42\u30011202", "lat": "22.53937100", "lng": "113.95574800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359590"]}, {"id": "a3ab3385a634dc6022dca37e65494081b908f41f", "title": "Pose Estimation Based on Pose Cluster and Candidates Recombination", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877637", "http://doi.org/10.1109/TCSVT.2014.2347511"]}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "title": "Personalizing Human Video Pose Estimation", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780703"]}, {"id": "545388d4a8e79cab605cea9b3e1ff1da0f848f8e", "title": "Fast Online Upper Body Pose Estimation from Video", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5453/88d4a8e79cab605cea9b3e1ff1da0f848f8e.pdf"], "doi": []}, {"id": "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "title": "Human Pose Estimation Using Body Parts Dependent Joint Regressors", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_humanpose2d_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d041.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/126/jgall_humanpose2d_cvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619235", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.391", "http://doi.org/10.1109/CVPR.2013.391"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "title": "Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d952/13a0ef820c93bf0a41e1ce24aea1dc9f137d.pdf"], "doi": []}, {"id": "31e8d53b144efe60be647f8d93e824bf8d0f4161", "title": "BodyNet: Volumetric Inference of 3D Human Body Shapes", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04875.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/leeds_sports_pose_extended.json b/site/datasets/citations/leeds_sports_pose_extended.json index 06df78ba..3290463a 100644 --- a/site/datasets/citations/leeds_sports_pose_extended.json +++ b/site/datasets/citations/leeds_sports_pose_extended.json @@ -1 +1 @@ -{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "paper": {"key": "leeds_sports_pose_extended", "name": "Leeds Sports Pose Extended", "title": "Learning effective human pose estimation from inaccurate annotation", "year": "2011", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}]}, "citations": [{"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "a102edaa9fd458316637ce51a0b7aba2ee651637", "title": "Learning Human Poses from Actions", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09075.pdf"], "doi": []}, {"id": "723f879b93097c22ffa4fe6b587d3a070a67136b", "title": "Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer IAIS, Sankt Augustin, Germany", "source_name": "Fraunhofer IAIS, Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/723f/879b93097c22ffa4fe6b587d3a070a67136b.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "8189e4f5fc09ae691c77bbd0d4e09b8853b02edf", "title": "Pose estimation of anime/manga characters: a case for synthetic data", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011552"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "5830e0816667e08bb0efca538d892ea329307daa", "title": "Filling the Joints : Completion and Recovery of Incomplete 3 D Human Poses \u2020", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5830/e0816667e08bb0efca538d892ea329307daa.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "60580f3edc3df1e869b234b88a66d6791c2d5d43", "title": "Activity recognition for asd children based on joints estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "Liaoning Shihua University", "source_name": "Liaoning Shihua University, China", "street_adddress": "1 Dandong Rd West Section, Wanghua Qu, Fushun Shi, Liaoning Sheng, China, 113000", "lat": "41.85635800", "lng": "123.79138700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8123076"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "490bd6dc220b42a706a919166dec7620a1c663f7", "title": "Heimdallr: a dataset for sport analysis", "addresses": [{"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910621"]}, {"id": "134dd3bb637b51c61fa9d2332f11e39efc0b359a", "title": "High-level activity learning and recognition in structured environments", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/134d/d3bb637b51c61fa9d2332f11e39efc0b359a.pdf"], "doi": []}, {"id": "4903156f9f0edae78c24f9b9b3348a3a4d20384f", "title": "Automated vision-based analysis of levodopa-induced dyskinesia with deep learning", "addresses": [{"name": "TRI-UHN, Toronto, Ontario, Canada", "source_name": "TRI-UHN, Toronto, ON M5S2E4 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "source_name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "source_name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "street_adddress": "399 Bathurst St, Toronto, ON M5T 2S8, Canada", "lat": "43.65346670", "lng": "-79.40523870", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8037580", "http://doi.org/10.1109/EMBC.2017.8037580", "https://www.ncbi.nlm.nih.gov/pubmed/29060621"]}, {"id": "c03c16668426d8b069e75cb440686e12a9adbcd7", "title": "Deep Unsupervised Similarity Learning Using Partially Ordered Sets", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02268.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "832377d50d133da3514ae3c51c0e6043ab856eea", "title": "Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03932.pdf"], "doi": []}, {"id": "0f4724cc069609a9544ca7d9a429b52cfe89c182", "title": "PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08225.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a", "title": "Unsupervised construction of human body models Action editor :", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90a2/c7db91c3a2ad1249a4c9e6d7d872529cae6a.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1", "title": "MonoPerfCap : Human Performance Capture from Monocular Video WEIPENGXU , AVISHEKCHATTERJEE , MICHAELZOLLH\u00d6FER , HELGERHODIN , DUSHYANTMEHTA", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cc5a/1cf7ad9d644f21a5df799ffbcb8d1e24abe1.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "d8b251cbcda6289bbeaff56692da963aa5a80cd2", "title": "Multi-Task Multi-Sample Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8b2/51cbcda6289bbeaff56692da963aa5a80cd2.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "9c54c038664ec0c167211e9855a2275a97101708", "title": "Tracking Human Pose Using Max-Margin Markov Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology, Sydney", "source_name": "University of Technology, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226826", "http://doi.org/10.1109/TIP.2015.2473662", "https://www.ncbi.nlm.nih.gov/pubmed/26336122"]}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "93a28e5131a762aeb888b76bcc6689e8696ab8d2", "title": "Pose Embeddings: A Deep Architecture for Learning to Match Human Poses", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.00302.pdf"], "doi": []}, {"id": "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "title": "Recurrent Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.02914.pdf"], "doi": []}, {"id": "ee2217f9d22d6a18aaf97f05768035c38305d1fa", "title": "Detection of facial parts via deformable part model using part annotation", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415501", "http://doi.org/10.1109/APSIPA.2015.7415501"]}, {"id": "29963f39e4bfd074d30a94b5150b2bd0afb4ee16", "title": "People Watching: Human Actions as a Cue for Single View Geometry", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "source_name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/dfouhey_people.pdf", "http://graphics.cs.cmu.edu/projects/peopleWatching/dfouhey_people.pdf", "http://ri.cmu.edu/pub_files/2012/10/people.pdf", "http://videolectures.net/site/normal_dl/tag=725518/eccv2012_fouhey_geometry_01.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/banner-expt.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/venkatesh-paper.pdf", "http://vision.stanford.edu/teaching/cs331_fall12/lecture_notes/cs331_notes7.pdf", "http://www.cs.cmu.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf", "http://www.di.ens.fr/willow/pdfscurrent/fouhey_ECCV12.pdf", "http://www.di.ens.fr/~josef/publications/fouhey12.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0710-z", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1774&context=robotics"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "1c7a050394371bcb064868dfe681ff4c29ce2101", "title": "Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "113c22eed8383c74fe6b218743395532e2897e71", "title": "MODEC: Multimodal Decomposable Models for Human Pose Estimation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~taskar/pubs/modec_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d674.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sapp_MODEC_Multimodal_Decomposable_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619315", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.471", "http://doi.org/10.1109/CVPR.2013.471"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "b58852921f43412f5ed1616135270572b5862107", "title": "Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies", "addresses": [{"name": "Inria Grenoble-Rh\u00f4ne-Alpes, France", "source_name": "LEAR Project-Team, Inria Grenoble-Rh\u00f4ne-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/alahari/papers/seguin15.pdf", "http://www.di.ens.fr/willow/research/stereoseg/seguin15.pdf", "http://www.di.ens.fr/~josef/publications/Seguin15.pdf", "https://hal.inria.fr/hal-01089660/file/pose_and_segm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6951494", "http://doi.org/10.1109/TPAMI.2014.2369050", "https://www.ncbi.nlm.nih.gov/pubmed/26353001", "https://www.wikidata.org/entity/Q50857566"]}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "0f3b3688af4e87b27ad38bf70aeffb64288bfe27", "title": "Unsupervised Construction of Human Body Models Using Principles of Organic Computing.", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03724.pdf"], "doi": []}, {"id": "0f322826b609c03f0d4eea735999fd37a4cabfbf", "title": "Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Engineering in Hubei University of Technology", "source_name": "Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China", "street_adddress": "Hongshan, Wuhan, China", "lat": "30.48176100", "lng": "114.31096000", "type": "edu", "country": "China"}, {"name": "Engineering in Wuhan University of Technology", "source_name": "Engineering in Wuhan University of Technology, Wuhan, China", "street_adddress": "China, Hubei, Wuhan, Wuchang, \u4e34\u6c5f\u5927\u9053", "lat": "30.54275500", "lng": "114.29240300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007721"]}, {"id": "28795f32b324eb3601e9a8c1ce93335691e120f3", "title": "CliqueCNN: Deep Unsupervised Exemplar Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08792.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1", "title": "Focus On What's Important: Self-Attention Model for Human Pose Estimation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08371.pdf"], "doi": []}, {"id": "95deb62b82ede5c6732c5c498d3f9452866eaba7", "title": "Unsupervised Video Understanding by Reconciliation of Posture Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01191.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "b7291fe7fb5480059bf56bf71c5bd54600080752", "title": "Occlusion-free appearance modeling of body parts for human pose estimation", "addresses": [{"name": "NAIST", "source_name": "NAIST", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153195", "http://doi.org/10.1109/MVA.2015.7153195"]}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "d1e1c489ffe0331313e9c626a971bbaacc633774", "title": "Cheating behavior detection based-on pictorial structure model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "USTECH (Beijing) Technology Co. Ltd., China", "source_name": "USTECH(Beijing) Technology Co. Ltd., China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6896205"]}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "47e388dcd33feda1dadac82cd60fd7f7fb599594", "title": "Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2015/attribute_grammar_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410630", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.273", "http://doi.org/10.1109/ICCV.2015.273"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "df4b148b89c3e19d11e53dd2102599add3a9048b", "title": "Human pose estimation using motion priors and ensemble models", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8355005"]}, {"id": "df9bad65bb11cdf9cff33425a3943525b2666ea4", "title": "Hardmining Training Via Self-Adversarial Network for Human Pose Estimation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623378"]}, {"id": "96b4124cf7626301ed3bb2d2b2233a490804e35e", "title": "Saliency-Based Deformable Model for Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/96b4/124cf7626301ed3bb2d2b2233a490804e35e.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "c780747801743a2c47512ec406c43b2073eb6587", "title": "Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03399.pdf"], "doi": []}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "44f18ef0800e276617e458bc21502947f35a7f94", "title": "EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.00142.pdf"], "doi": []}, {"id": "7b8ed16ca5c03d21b0b2e56d9ee5cc24d668625e", "title": "Max-covering scheme for gesture recognition of Chinese traffic police", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-014-0383-9"]}, {"id": "5b4fddc0b86deea2fc139c43ee07892ad211a2dd", "title": "Compositional Human Pose Regression", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00159.pdf"], "doi": []}, {"id": "b769007cb6931464168f63ebb4571e46d8c804b7", "title": "Human Pose Estimation and Activity Classification Using Convolutional Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b769/007cb6931464168f63ebb4571e46d8c804b7.pdf"], "doi": []}, {"id": "393a62cab9e2a1cc82c1663fdbbf1aefb781c36b", "title": "Chained Predictions Using Convolutional Neural Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02346.pdf"], "doi": []}, {"id": "085c61ad31208717a6bc28059708ebdebbb1ca43", "title": "Gesture recognition of traffic police based on static and dynamic descriptor fusion", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3497-9"]}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "b8f1d51fb48655ee38fc4634d016cffa817619ae", "title": "A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3197791"]}, {"id": "6911686f00c99c51c21f057c45d561c88027f676", "title": "Articulated pose estimation with parts connectivity using discriminative local oriented contours", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/CVPR2012.pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248049", "http://doi.org/10.1109/CVPR.2012.6248049"]}, {"id": "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "title": "Deep Unsupervised Learning of Visual Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08562.pdf"], "doi": []}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "6049a381a0b79a90344306a885f118b47936ac9f", "title": "Occlusion-robust model learning for human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486552", "http://doi.org/10.1109/ACPR.2015.7486552"]}, {"id": "07a65c9368d41a07e9ff1065e5a76d69178008f7", "title": "Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7070741", "http://doi.org/10.1109/TNNLS.2015.2411287", "https://www.ncbi.nlm.nih.gov/pubmed/25826809"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "58d821874f48c3ce748b523f7defdfb72a608392", "title": "Human body segmentation based on shape constraint", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0829-3"]}]} \ No newline at end of file +{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "paper": {"key": "leeds_sports_pose_extended", "name": "Leeds Sports Pose Extended", "title": "Learning effective human pose estimation from inaccurate annotation", "year": "2011", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}]}, "citations": [{"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "a102edaa9fd458316637ce51a0b7aba2ee651637", "title": "Learning Human Poses from Actions", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09075.pdf"], "doi": []}, {"id": "723f879b93097c22ffa4fe6b587d3a070a67136b", "title": "Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer IAIS, Sankt Augustin, Germany", "source_name": "Fraunhofer IAIS, Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/723f/879b93097c22ffa4fe6b587d3a070a67136b.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "8189e4f5fc09ae691c77bbd0d4e09b8853b02edf", "title": "Pose estimation of anime/manga characters: a case for synthetic data", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011552"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "5830e0816667e08bb0efca538d892ea329307daa", "title": "Filling the Joints : Completion and Recovery of Incomplete 3 D Human Poses \u2020", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5830/e0816667e08bb0efca538d892ea329307daa.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "60580f3edc3df1e869b234b88a66d6791c2d5d43", "title": "Activity recognition for asd children based on joints estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "Liaoning Shihua University", "source_name": "Liaoning Shihua University, China", "street_adddress": "1 Dandong Rd West Section, Wanghua Qu, Fushun Shi, Liaoning Sheng, China, 113000", "lat": "41.85635800", "lng": "123.79138700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8123076"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "490bd6dc220b42a706a919166dec7620a1c663f7", "title": "Heimdallr: a dataset for sport analysis", "addresses": [{"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910621"]}, {"id": "134dd3bb637b51c61fa9d2332f11e39efc0b359a", "title": "High-level activity learning and recognition in structured environments", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/134d/d3bb637b51c61fa9d2332f11e39efc0b359a.pdf"], "doi": []}, {"id": "4903156f9f0edae78c24f9b9b3348a3a4d20384f", "title": "Automated vision-based analysis of levodopa-induced dyskinesia with deep learning", "addresses": [{"name": "TRI-UHN, Toronto, Ontario, Canada", "source_name": "TRI-UHN, Toronto, ON M5S2E4 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "source_name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "source_name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "street_adddress": "399 Bathurst St, Toronto, ON M5T 2S8, Canada", "lat": "43.65346670", "lng": "-79.40523870", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8037580", "http://doi.org/10.1109/EMBC.2017.8037580", "https://www.ncbi.nlm.nih.gov/pubmed/29060621"]}, {"id": "c03c16668426d8b069e75cb440686e12a9adbcd7", "title": "Deep Unsupervised Similarity Learning Using Partially Ordered Sets", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02268.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "832377d50d133da3514ae3c51c0e6043ab856eea", "title": "Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03932.pdf"], "doi": []}, {"id": "0f4724cc069609a9544ca7d9a429b52cfe89c182", "title": "PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08225.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a", "title": "Unsupervised construction of human body models Action editor :", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90a2/c7db91c3a2ad1249a4c9e6d7d872529cae6a.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1", "title": "MonoPerfCap : Human Performance Capture from Monocular Video WEIPENGXU , AVISHEKCHATTERJEE , MICHAELZOLLH\u00d6FER , HELGERHODIN , DUSHYANTMEHTA", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cc5a/1cf7ad9d644f21a5df799ffbcb8d1e24abe1.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "d8b251cbcda6289bbeaff56692da963aa5a80cd2", "title": "Multi-Task Multi-Sample Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8b2/51cbcda6289bbeaff56692da963aa5a80cd2.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "9c54c038664ec0c167211e9855a2275a97101708", "title": "Tracking Human Pose Using Max-Margin Markov Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology, Sydney", "source_name": "University of Technology, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226826", "http://doi.org/10.1109/TIP.2015.2473662", "https://www.ncbi.nlm.nih.gov/pubmed/26336122"]}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "93a28e5131a762aeb888b76bcc6689e8696ab8d2", "title": "Pose Embeddings: A Deep Architecture for Learning to Match Human Poses", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.00302.pdf"], "doi": []}, {"id": "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "title": "Recurrent Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.02914.pdf"], "doi": []}, {"id": "ee2217f9d22d6a18aaf97f05768035c38305d1fa", "title": "Detection of facial parts via deformable part model using part annotation", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415501", "http://doi.org/10.1109/APSIPA.2015.7415501"]}, {"id": "29963f39e4bfd074d30a94b5150b2bd0afb4ee16", "title": "People Watching: Human Actions as a Cue for Single View Geometry", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "source_name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/dfouhey_people.pdf", "http://graphics.cs.cmu.edu/projects/peopleWatching/dfouhey_people.pdf", "http://ri.cmu.edu/pub_files/2012/10/people.pdf", "http://videolectures.net/site/normal_dl/tag=725518/eccv2012_fouhey_geometry_01.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/banner-expt.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/venkatesh-paper.pdf", "http://vision.stanford.edu/teaching/cs331_fall12/lecture_notes/cs331_notes7.pdf", "http://www.cs.cmu.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf", "http://www.di.ens.fr/willow/pdfscurrent/fouhey_ECCV12.pdf", "http://www.di.ens.fr/~josef/publications/fouhey12.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0710-z", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1774&context=robotics"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "1c7a050394371bcb064868dfe681ff4c29ce2101", "title": "Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "113c22eed8383c74fe6b218743395532e2897e71", "title": "MODEC: Multimodal Decomposable Models for Human Pose Estimation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~taskar/pubs/modec_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d674.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sapp_MODEC_Multimodal_Decomposable_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619315", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.471", "http://doi.org/10.1109/CVPR.2013.471"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "b58852921f43412f5ed1616135270572b5862107", "title": "Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies", "addresses": [{"name": "Inria Grenoble-Rh\u00f4ne-Alpes, France", "source_name": "LEAR Project-Team, Inria Grenoble-Rh\u00f4ne-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/alahari/papers/seguin15.pdf", "http://www.di.ens.fr/willow/research/stereoseg/seguin15.pdf", "http://www.di.ens.fr/~josef/publications/Seguin15.pdf", "https://hal.inria.fr/hal-01089660/file/pose_and_segm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6951494", "http://doi.org/10.1109/TPAMI.2014.2369050", "https://www.ncbi.nlm.nih.gov/pubmed/26353001", "https://www.wikidata.org/entity/Q50857566"]}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "0f3b3688af4e87b27ad38bf70aeffb64288bfe27", "title": "Unsupervised Construction of Human Body Models Using Principles of Organic Computing.", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03724.pdf"], "doi": []}, {"id": "0f322826b609c03f0d4eea735999fd37a4cabfbf", "title": "Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Engineering in Hubei University of Technology", "source_name": "Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China", "street_adddress": "Hongshan, Wuhan, China", "lat": "30.48176100", "lng": "114.31096000", "type": "edu", "country": "China"}, {"name": "Engineering in Wuhan University of Technology", "source_name": "Engineering in Wuhan University of Technology, Wuhan, China", "street_adddress": "China, Hubei, Wuhan, Wuchang, \u4e34\u6c5f\u5927\u9053", "lat": "30.54275500", "lng": "114.29240300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007721"]}, {"id": "28795f32b324eb3601e9a8c1ce93335691e120f3", "title": "CliqueCNN: Deep Unsupervised Exemplar Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08792.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1", "title": "Focus On What's Important: Self-Attention Model for Human Pose Estimation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08371.pdf"], "doi": []}, {"id": "95deb62b82ede5c6732c5c498d3f9452866eaba7", "title": "Unsupervised Video Understanding by Reconciliation of Posture Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01191.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "b7291fe7fb5480059bf56bf71c5bd54600080752", "title": "Occlusion-free appearance modeling of body parts for human pose estimation", "addresses": [{"name": "NAIST", "source_name": "NAIST", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153195", "http://doi.org/10.1109/MVA.2015.7153195"]}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "d1e1c489ffe0331313e9c626a971bbaacc633774", "title": "Cheating behavior detection based-on pictorial structure model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "USTECH (Beijing) Technology Co. Ltd., China", "source_name": "USTECH(Beijing) Technology Co. Ltd., China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6896205"]}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "47e388dcd33feda1dadac82cd60fd7f7fb599594", "title": "Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2015/attribute_grammar_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410630", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.273", "http://doi.org/10.1109/ICCV.2015.273"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "df4b148b89c3e19d11e53dd2102599add3a9048b", "title": "Human pose estimation using motion priors and ensemble models", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8355005"]}, {"id": "df9bad65bb11cdf9cff33425a3943525b2666ea4", "title": "Hardmining Training Via Self-Adversarial Network for Human Pose Estimation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623378"]}, {"id": "96b4124cf7626301ed3bb2d2b2233a490804e35e", "title": "Saliency-Based Deformable Model for Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/96b4/124cf7626301ed3bb2d2b2233a490804e35e.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "c780747801743a2c47512ec406c43b2073eb6587", "title": "Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03399.pdf"], "doi": []}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "44f18ef0800e276617e458bc21502947f35a7f94", "title": "EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.00142.pdf"], "doi": []}, {"id": "7b8ed16ca5c03d21b0b2e56d9ee5cc24d668625e", "title": "Max-covering scheme for gesture recognition of Chinese traffic police", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-014-0383-9"]}, {"id": "5b4fddc0b86deea2fc139c43ee07892ad211a2dd", "title": "Compositional Human Pose Regression", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00159.pdf"], "doi": []}, {"id": "b769007cb6931464168f63ebb4571e46d8c804b7", "title": "Human Pose Estimation and Activity Classification Using Convolutional Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b769/007cb6931464168f63ebb4571e46d8c804b7.pdf"], "doi": []}, {"id": "393a62cab9e2a1cc82c1663fdbbf1aefb781c36b", "title": "Chained Predictions Using Convolutional Neural Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02346.pdf"], "doi": []}, {"id": "085c61ad31208717a6bc28059708ebdebbb1ca43", "title": "Gesture recognition of traffic police based on static and dynamic descriptor fusion", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3497-9"]}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}, {"id": "b8f1d51fb48655ee38fc4634d016cffa817619ae", "title": "A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3197791"]}, {"id": "6911686f00c99c51c21f057c45d561c88027f676", "title": "Articulated pose estimation with parts connectivity using discriminative local oriented contours", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/CVPR2012.pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248049", "http://doi.org/10.1109/CVPR.2012.6248049"]}, {"id": "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "title": "Deep Unsupervised Learning of Visual Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08562.pdf"], "doi": []}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "6049a381a0b79a90344306a885f118b47936ac9f", "title": "Occlusion-robust model learning for human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486552", "http://doi.org/10.1109/ACPR.2015.7486552"]}, {"id": "07a65c9368d41a07e9ff1065e5a76d69178008f7", "title": "Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7070741", "http://doi.org/10.1109/TNNLS.2015.2411287", "https://www.ncbi.nlm.nih.gov/pubmed/25826809"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "58d821874f48c3ce748b523f7defdfb72a608392", "title": "Human body segmentation based on shape constraint", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0829-3"]}]} \ No newline at end of file diff --git a/site/datasets/citations/lfpw.json b/site/datasets/citations/lfpw.json index 1eec5f9a..eb6172c7 100644 --- a/site/datasets/citations/lfpw.json +++ b/site/datasets/citations/lfpw.json @@ -1 +1 @@ -{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "paper": {"key": "lfpw", "name": "LFPW", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "year": "2011", "addresses": []}, "citations": [{"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "54aafe33c4a32fb5875d04fd4a6e6da50920c263", "title": "Robust principal component analysis?", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1970395"]}, {"id": "1a1a60fd4dc88a14c016b95789385801c6b80574", "title": "Sparse representation or collaborative representation: Which helps face recognition?", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://sse.tongji.edu.cn/linzhang/CV/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf", "http://sse.tongji.edu.cn/linzhang/CV14/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126277", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126277", "http://doi.org/10.1109/ICCV.2011.6126277"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "0ec1673609256b1e457f41ede5f21f05de0c054f", "title": "Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://research.microsoft.com/pubs/192106/HighDimFeature.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d025.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Blessing_of_Dimensionality_2013_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/PID2716719.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619233", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.389", "http://doi.org/10.1109/CVPR.2013.389"]}, {"id": "c75ba6ef724c0c3a9c9510a70da4cc8729b59a35", "title": "FaceWarehouse: A 3D Facial Expression Database for Visual Computing", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk3_facewarehouse.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654137", "http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.249", "http://doi.org/10.1109/TVCG.2013.249", "https://www.ncbi.nlm.nih.gov/pubmed/24434222"]}, {"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "addresses": [{"name": "TU Graz", "source_name": "Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria", "street_adddress": "Graz, Austria", "lat": "47.07071400", "lng": "15.43950400", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130513"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "84b50ebe85f7a1721800125e7882fce8c45b5c5a", "title": "Cats and dogs", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248092"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780823", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.454", "http://doi.org/10.1109/CVPR.2016.454"]}, {"id": "c5366f412f2e8e78280afcccc544156f63b516e3", "title": "Meta-Analysis of the First Facial Expression Recognition Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/fera_smcb.pdf", "http://lep.unige.ch/system/files/biblio/2012_Valstar_MetaAnalysisGEMEP-FERA.pdf", "http://www.cs.nott.ac.uk/~mfv/Documents/fera_smcb.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/fera_smcb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222016", "http://doi.org/10.1109/TSMCB.2012.2200675", "https://www.ncbi.nlm.nih.gov/pubmed/22736651", "https://www.wikidata.org/entity/Q39596424"]}, {"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "title": "Labeled Faces in the Wild : Updates and New Reporting Procedures", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf"], "doi": []}, {"id": "4335d53e763b2caf20f06928cd420ae09e5041ad", "title": "Discrete-continuous optimization for multi-target tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://research.milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2012/andriyenko-cvpr-preprint.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr12andriyenko.pdf", "http://www.milanton.de/files/cvpr2012/cvpr2012-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247893", "http://doi.org/10.1109/CVPR.2012.6247893"]}, {"id": "30ff7845c8b0de24f8e494b815f3041feeb508d4", "title": "3D Constrained Local Model for rigid and non-rigid facial tracking", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247980"]}, {"id": "4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea", "title": "Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark", "addresses": [{"name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "source_name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "street_adddress": "421 Discovery Dr, Paddys River ACT 2620, Australia", "lat": "-35.40141670", "lng": "148.98162610", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": ["http://staff.estem-uc.edu.au/roland/wp-content/uploads/file/roland/publications/Conference/ICCV/BeFIT2011/dhall_goecke_lucey_gedeon_BeFIT2011_StaticFacialExpressionAnalysisInToughConditions.pdf", "http://www.researchgate.net/profile/Roland_Goecke/publication/221429947_Static_facial_expression_analysis_in_tough_conditions_Data_evaluation_protocol_and_benchmark/links/0fcfd50e81697312d6000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130508", "http://doi.org/10.1109/ICCVW.2011.6130508"]}, {"id": "add50a7d882eb38e35fe70d11cb40b1f0059c96f", "title": "High-fidelity Pose and Expression Normalization for face recognition in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14784/1/07298679.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Zhu_High-Fidelity_Pose_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_High-Fidelity_Pose_and_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298679", "http://doi.org/10.1109/CVPR.2015.7298679"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "0059a63e200139fd534e19703d37704fe9aaa8e1", "title": "FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences", "addresses": [{"name": "UC Berkeley, California, United States", "source_name": "UC Berkeley, California, United States", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298723"]}, {"id": "ef94d1445be4be7cc5ffc6b17f89e2d046bef416", "title": "Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103112"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "40928537845bd14f731b753bef8cdab59661c090", "title": "AverageExplorer: interactive exploration and alignment of visual data collections", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601145"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "title": "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip_2014.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip1.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/eleftheriadis_tip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6967830", "http://doi.org/10.1109/TIP.2014.2375634", "https://www.ncbi.nlm.nih.gov/pubmed/25438312", "https://www.wikidata.org/entity/Q50620802"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "91883dabc11245e393786d85941fb99a6248c1fb", "title": "Face Alignment In-the-Wild: A Survey", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.04188.pdf"], "doi": []}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "title": "Rejecting pseudo-faces using the likelihood of facial features and skin", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2012/BTAS%20144.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374602", "http://doi.org/10.1109/BTAS.2012.6374602"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "7a0b78879a13bd42c63cd947f583129137b16830", "title": "A Multiresolution 3D Morphable Face Model and Fitting Framework", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7a0b/78879a13bd42c63cd947f583129137b16830.pdf"], "doi": []}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial Landmark Localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "6fdf2f4f7ae589af6016305a17d460617d9ef345", "title": "Robust facial landmark localization using multi partial features", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350767", "http://doi.org/10.1109/ICIP.2015.7350767"]}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "ac51d9ddbd462d023ec60818bac6cdae83b66992", "title": "An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://downloads.hindawi.com/journals/cin/2015/709072.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26504460", "http://doi.org/10.1155/2015%2F709072", "https://www.wikidata.org/entity/Q36173072"]}, {"id": "159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1", "title": "Weak Classifier for Density Estimation in Eye Localization and Tracking", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}, {"name": "Universidade Federal do Rio de Janeiro", "source_name": "Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil", "street_adddress": "Av. Pedro Calmon, 550 - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21941-901, Brazil", "lat": "-22.95414120", "lng": "-43.17536380", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898792", "http://doi.org/10.1109/TIP.2017.2694226", "https://www.ncbi.nlm.nih.gov/pubmed/28422660", "https://www.wikidata.org/entity/Q38830601"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "bd8e2d27987be9e13af2aef378754f89ab20ce10", "title": "Facial feature points detecting based on Gaussian Mixture Models", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.11.004"]}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "c4aa3dfb8aee7803f17335b0f15108e774023fd9", "title": "Face Image Modeling by Multilinear Subspace Analysis With Missing Values", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "Monash University", "source_name": "Monash University", "street_adddress": "Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.78397455", "lng": "144.95867433", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5678656"]}, {"id": "70eeacf9f86ba08fceb3dd703cf015016dac1930", "title": "Coupled information-theoretic encoding for face photo-sketch recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/CITE_final.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tutorials/CITF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/tutorials/CITF.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995324", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995324", "http://doi.org/10.1109/CVPR.2011.5995324"]}, {"id": "2ea106282753dd754f1fcd65728a4effee42d58a", "title": "Sparse Filtering", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/2ea1/06282753dd754f1fcd65728a4effee42d58a.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "004ea00cc92d09a4dd6f3ff5ae88b28d26a24cec", "title": "General and nested Wiberg minimization", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247850"]}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "1aa216737bb53366d556c01d1985f2f4d4c1d284", "title": "Optical flow in the presence of spatially-varying motion blur", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247871"]}, {"id": "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "title": "3D facial geometric features for constrained local model", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://doc.utwente.nl/95232/1/Pantic_3D_facial_geometric_features.pdf", "http://eprints.eemcs.utwente.nl/25826/01/Pantic_3D_facial_geometric_features.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/3d_local_features.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025285", "http://doi.org/10.1109/ICIP.2014.7025285"]}, {"id": "2969f822b118637af29d8a3a0811ede2751897b5", "title": "Cascaded Shape Space Pruning for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://iip.ict.ac.cn/sites/default/files/publication/2013_ICCV_xwzhao_Cascaded%20Shape%20Space%20Pruning%20for%20Robust%20Facial%20Landmark%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751238", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.132", "http://doi.org/10.1109/ICCV.2013.132"]}, {"id": "7492c611b1df6bce895bee6ba33737e7fc7f60a6", "title": "The 3D Menpo Facial Landmark Tracking Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/zafeiriou_the_3d_menpo_iccv_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265505", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.16", "http://doi.org/10.1109/ICCVW.2017.16"]}, {"id": "beae35eb5b2c7f63dfa9115f07b5ba0319709951", "title": "Discriminative 3D morphable model fitting", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/3dmm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163096", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163096", "http://doi.org/10.1109/FG.2015.7163096"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "e27f5d160b784a838acf266bb1055d7ba0a8b1d1", "title": "Distinguishable de-identified faces", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285019"]}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "addresses": [{"name": "Australian National University, Canberra", "source_name": "Australian National University, Canberra", "street_adddress": "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "lat": "-35.28121335", "lng": "149.11665331", "type": "edu", "country": "Australia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "fd615118fb290a8e3883e1f75390de8a6c68bfde", "title": "Joint Face Alignment with Non-parametric Shape Models", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fd61/5118fb290a8e3883e1f75390de8a6c68bfde.pdf"], "doi": []}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "63fd7a159e58add133b9c71c4b1b37b899dd646f", "title": "Exemplar-Based Human Action Pose Correction", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://wei-shen.weebly.com/uploads/2/3/8/2/23825939/posecorrection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603332", "http://doi.org/10.1109/TCYB.2013.2279071", "https://www.ncbi.nlm.nih.gov/pubmed/24058046", "https://www.wikidata.org/entity/Q43796448"]}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "5befd78017c51dcc6cb1394e1144d50bc936c7c8", "title": "Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter", "addresses": [{"name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "source_name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "street_adddress": "Estr. de Adrian\u00f3polis, 1317 - Vila Nossa Sra. da Conceicao, Nova Igua\u00e7u - RJ, 26041-271, Brazil", "lat": "-22.70465580", "lng": "-43.46242130", "type": "edu", "country": "Brazil"}, {"name": "Technion Autonomous Systems Program, Technion\u2014Israel Institute of Technology, Haifa, Israel", "source_name": "Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489195"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "0d3d942f3279471430bf374f61d60af69bd06121", "title": "Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5661774"]}, {"id": "4079cd0b94e3f4423a54c58fe15fd29a46a5652e", "title": "Learning temporal signatures for Lip Reading", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130355"]}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "09ce14b84af2dc2f76ae1cf227356fa0ba337d07", "title": "Face reconstruction in the wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "University of Washington & Google, Inc.", "source_name": "University of Washington and Google Inc.", "street_adddress": "University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA", "lat": "47.66074610", "lng": "-122.31458380", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://grail.cs.washington.edu/3dfaces/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126439", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126439", "http://doi.org/10.1109/ICCV.2011.6126439"]}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3619a9b46ad4779d0a63b20f7a6a8d3d49530339", "title": "Fisher Vector Faces in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3619/a9b46ad4779d0a63b20f7a6a8d3d49530339.pdf"], "doi": []}, {"id": "1a140d9265df8cf50a3cd69074db7e20dc060d14", "title": "Face Parts Localization Using Structured-Output Regression Forests", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a14/0d9265df8cf50a3cd69074db7e20dc060d14.pdf"], "doi": []}, {"id": "14ce7635ff18318e7094417d0f92acbec6669f1c", "title": "DeepFace: Closing the Gap to Human-Level Performance in Face Verification", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://data.over-blog-kiwi.com/0/90/51/05/20140323/ob_600872_deepface.pdf", "http://static1.trouw.nl/static/asset/2014/deepface_4361.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_11_01_2013.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_prev.pdf", "http://www.cs.tau.ac.il/~wolf/papers/paper_1819_supplementary_deepface.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_supp_material_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909616", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.220", "http://doi.org/10.1109/CVPR.2014.220"]}, {"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "title": "Face recognition in unconstrained videos with matched background similarity", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995566"]}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "181708b09bde7f4904f8fd92b3668d76e7aff527", "title": "Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666275"]}, {"id": "fb528dcfa355779aff996cd1f0ef9d96f918080f", "title": "Intrinsic images in the wild", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601206"]}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "12003a7d65c4f98fb57587fd0e764b44d0d10125", "title": "Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2015", "pdf": ["http://luks.fe.uni-lj.si/en/staff/simond/publications/Dobrisek2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284835", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284835", "http://doi.org/10.1109/FG.2015.7284835"]}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "7df4f96138a4e23492ea96cf921794fc5287ba72", "title": "A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08705.pdf"], "doi": []}, {"id": "e8f4ded98f5955aad114f55e7aca6b540599236b", "title": "Convolutional Fusion Network for Face Verification in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://labicvl.github.io/docs/pubs/Chao_TCSVT_2015.pdf", "https://labicvl.github.io/docs/pubs/Chao_TCSVT_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047804", "http://doi.org/10.1109/TCSVT.2015.2406191", "https://doi.org/10.1109/TCSVT.2015.2406191"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "title": "Why is facial expression analysis in the wild challenging?", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531924"]}, {"id": "516f412a76911a13c9128aac827b52b27b98fad9", "title": "Uncovering social network sybils in the wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2556609"]}, {"id": "0573f3d2754df3a717368a6cbcd940e105d67f0b", "title": "Emotion recognition in the wild challenge 2016", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531739"]}, {"id": "d4cbb00008da7ffad80fd9de0a94876ff9d53759", "title": "Visual Kinship Recognition of Families in the Wild", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337841"]}, {"id": "58192249cc6aa7b21ef32685f610585d5782544b", "title": "The FG 2015 Kinship Verification in the Wild Evaluation", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Politecnico di Torino, DAUIN, Torino, Italy", "source_name": "Politecnico di Torino, DAUIN, Torino, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://liris.cnrs.fr/Documents/Liris-7046.pdf", "http://translectures.videolectures.net/site/normal_dl/tag=977250/fgconference2015_liong_wild_evaluation_01.pdf", "https://hal.archives-ouvertes.fr/hal-01158942/file/Liris-7046.pdf", "https://pdfs.semanticscholar.org/5819/2249cc6aa7b21ef32685f610585d5782544b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163159", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163159", "http://doi.org/10.1109/FG.2015.7163159"]}, {"id": "acd4280453b995cb071c33f7c9db5760432f4279", "title": "Deep transformation learning for face recognition in the unconstrained scene", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0907-1"]}, {"id": "1e62935d9288446abdaeb1fec84daa12a684b300", "title": "Detecting adversarial advertisements in the wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2020455"]}, {"id": "29c68d6e8370c04f0e1094b7de5d8b2f12821f4b", "title": "Spotting Facial Micro-Expressions \u201c In the Wild \u201d", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29c6/8d6e8370c04f0e1094b7de5d8b2f12821f4b.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "47471105d9ee2276e14ab4a3a4d66ef58612188f", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "18aaeaba26d95482fc40d560c49f0a7f22ea0870", "title": "Automatic Detection of Learning-Centered Affective States in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2701397"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "title": "Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Kim_Fusing_Aligned_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789677", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.187", "http://doi.org/10.1109/CVPRW.2016.187"]}, {"id": "3868c75855df640a73b1fcdfa5df1bb92b878099", "title": "Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.05768.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "01dbc5466cce6abd567cc5b34a481f5c438fb15a", "title": "The Web Never Forgets: Persistent Tracking Mechanisms in the Wild", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660347"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "14efb131bed66f1874dd96170f714def8db45d90", "title": "Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild", "addresses": [{"name": "Intel Labs China, Beijing, China", "source_name": "Intel Labs China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830585"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "a4725a5b43e7c36d9e30028dff66958f892254a0", "title": "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "source_name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "street_adddress": "Kensington, London SW7 2AZ, UK", "lat": "51.49879970", "lng": "-0.17487720", "type": "edu", "country": "United Kingdom"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666271"]}, {"id": "54e988bc0764073a5db2955705d4bfa8365b7fa9", "title": "Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531749"]}, {"id": "4fbf0b611741b1dc3d9c29738c9a498e7509cb56", "title": "Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830584"]}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "a000e15656e84dd538f1f0b8f8639dd29f122c95", "title": "Multimodal fusion based on information gain for emotion recognition in the wild", "addresses": [{"name": "Maastricht University", "source_name": "Maastricht University", "street_adddress": "UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland", "lat": "50.83367120", "lng": "5.71589000", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324224", "http://doi.org/10.1109/intellisys.2017.8324224"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "fdb80f9c506e69fac4d31fd9dcefc2120c990e5f", "title": "Deep Learning in the Wild", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04950.pdf"], "doi": []}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "4fb009787697cd47914fca1085b8fd932fe26337", "title": "WildFish: A Large Benchmark for Fish Recognition in the Wild", "addresses": [{"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240616"]}, {"id": "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "title": "Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666277"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "2edc6df161f6aadbef9c12408bdb367e72c3c967", "title": "Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666278"]}, {"id": "177bc509dd0c7b8d388bb47403f28d6228c14b5c", "title": "Deep Learning Face Representation from Predicting 10,000 Classes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf", "http://user.ceng.metu.edu.tr/~gcinbis/courses/Spring17/CS559/presentations/W12b_SayginDogu.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909640", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.244", "http://doi.org/10.1109/CVPR.2014.244"]}, {"id": "ad29afdbce160d3749a3685da75bc35b16d64b95", "title": "Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830588"]}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "709ec2146eace9707953e72463de4805b83c720a", "title": "Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264992"]}, {"id": "04f0292d9a062634623516edd01d92595f03bd3f", "title": "Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531742"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "c4e5e9dfac23d26ca866467f415f383a0c65f5c8", "title": "Visual Voice Activity Detection in the Wild", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420734"]}, {"id": "93e451f71245f8e5ba346a48de2d09c0bccc3c22", "title": "Towards an \u201cIn-the-Wild\u201d Emotion Dataset Using a Game-Based Framework", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02678.pdf"], "doi": []}, {"id": "f0f89b9336f871d8c6ebbaefbae171efcd7ff4fd", "title": "Competition between Jagged-Notch and Endothelin1 Signaling Selectively Restricts Cartilage Formation in the Zebrafish Upper Face", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0f8/9b9336f871d8c6ebbaefbae171efcd7ff4fd.pdf"], "doi": []}, {"id": "bccad316045861ef4ceb288f7dd9dff5cc2e5cc1", "title": "CamForensics: Understanding Visual Privacy Leaks in the Wild", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131683"]}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "244c7d89bcd67b26756123edf44c71fd5f39dea6", "title": "GestureGAN for Hand Gesture-to-Gesture Translation in the Wild", "addresses": [{"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}, {"name": "University of Oxford & University of Trento", "source_name": "University of Oxford & University of Trento, Oxford, United Kingdom", "street_adddress": "Oxford OX1 2JD, UK", "lat": "51.75481640", "lng": "-1.25436680", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240704"]}, {"id": "5a5c85cf5c21a3559fbdf7da2263c7da860ea193", "title": "Learning supervised scoring ensemble for emotion recognition in the wild", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143009"]}, {"id": "23f18899037c77efea58cbde7b029225af7e0db9", "title": "Face alignment using structured random regressors combined with statistical shape model fitting", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727052", "http://doi.org/10.1109/IVCNZ.2013.6727052"]}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "c00935052d80cddedb53da1ed042055faaf3aa1b", "title": "Re-identifying people in the wild", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "source_name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "street_adddress": "Universitat Polit\u00e8cnica de, Camino de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.47908500", "lng": "-0.33364500", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638065", "http://doi.org/10.1109/ICASSP.2013.6638065"]}, {"id": "89cce3cd411901e5de02cf508679d0ed2fd3bbe1", "title": "Dietary contribution of Wild Edible Plants to women\u2019s diets in the buffer zone around the Lama forest, Benin \u2013 an underutilized potential", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://dspace.itg.be/bitstream/handle/10390/8332/2014fsec0833.pdf;sequence=1", "https://biblio.ugent.be/publication/5736684/file/5890311.pdf", "https://bioversityinternational.org/fileadmin/_migrated/uploads/tx_news/Dietary_contribution_of_wild_edible_plants_to_women_s_diets_in_the_buffer_zone_1881.pdf"], "doi": ["https://doi.org/10.1007/s12571-014-0396-7"]}, {"id": "111ccb406a68d3fa898d65e059d1c8dab71f26d6", "title": "Expression analysis in the wild: from individual to groups", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461529"]}, {"id": "0e6bcc235037d91ccdf74c449a1f6990848ce993", "title": "Detector discovery in the wild: Joint multiple instance and representation learning", "addresses": [{"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298906"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "cfc158b31623d4f9f9cce547616dbaaa083b2291", "title": "Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7891939"]}, {"id": "02b3a4fdc8d2322ac41c664563ee036a973fd126", "title": "Faces in the Distorting Mirror: Revisiting Photo-based Social Authentication", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FORTH, Heraklion, Greece", "source_name": "Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}, {"name": "Politecnico di Milano", "source_name": "Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it", "street_adddress": "5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy", "lat": "45.47866980", "lng": "9.23242090", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660317"]}, {"id": "e2fe04d9a3bd3aa3cbd9c281170b4f49119a88fd", "title": "Detecting kangaroos in the wild: the first step towards automated animal surveillance", "addresses": [{"name": "Queensland Parks and Wildlife Service, Australia", "source_name": "Queensland Parks and Wildlife Service, Australia", "street_adddress": "890 Binna Burra Rd, Binna Burra QLD 4211, Australia", "lat": "-28.19433350", "lng": "153.18424230", "type": "gov", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178313"]}, {"id": "13be4f13dac6c9a93f969f823c4b8c88f607a8c4", "title": "Family in the Wild (FIW): A Large-scale Kinship Recognition Database", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/13be/4f13dac6c9a93f969f823c4b8c88f607a8c4.pdf"], "doi": []}, {"id": "0d3068b352c3733c9e1cc75e449bf7df1f7b10a4", "title": "Context Based Facial Expression Analysis in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~adhall/Dhall_ACII_DC_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6681502", "http://doi.ieeecomputersociety.org/10.1109/ACII.2013.111", "http://doi.org/10.1109/ACII.2013.111"]}, {"id": "71aac0c95beb71581f8308a1cc3932acacefb7c5", "title": "Fluid Grouping: Quantifying Group Engagement around Interactive Tabletop Exhibits in the Wild", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702231"]}, {"id": "540831094fd9b80469c8dacb9320b7e342b50e03", "title": "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05561.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "e5533c70706109ee8d0b2a4360fbe73fd3b0f35d", "title": "How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07332.pdf"], "doi": []}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"], "doi": []}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "title": "Coarse-to-fine facial landmarks localization based on convolutional feature", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256378", "http://doi.org/10.1109/BESC.2017.8256378"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "5e97a1095f2811e0bc188f52380ea7c9c460c896", "title": "Facial feature parsing and landmark detection via low-rank matrix decomposition", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.utk.edu/~rguo1/FacialParsing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351510", "http://doi.org/10.1109/ICIP.2015.7351510"]}, {"id": "ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c", "title": "Fast Localization of Facial Landmark Points", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6888.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "73a70595af6500505b46de91afbe108ce2fc2aee", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005459"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "98ea47f63aed83951217870771da3f57b0295689", "title": "Recurrent Shape Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8341745"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "title": "Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532432", "http://doi.org/10.1109/ICIP.2016.7532432"]}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412675"]}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"id": "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "title": "A New Method for Face Alignment under Extreme Poses and Occlusion", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546065"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "62e834114b58a58a2ea2d7b6dd7b0ce657a64317", "title": "Adaptive facial feature extraction", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6973987", "http://doi.org/10.1109/SMC.2014.6973987"]}, {"id": "92e464a5a67582d5209fa75e3b29de05d82c7c86", "title": "Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf"], "doi": []}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "4c87aafa779747828054cffee3125fcea332364d", "title": "View-Constrained Latent Variable Model for Multi-view Facial Expression Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c87/aafa779747828054cffee3125fcea332364d.pdf"], "doi": []}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "6a931e7b7475635f089dd33e8d9a2899ae963804", "title": "Unified convolutional neural network for direct facial keypoints detection", "addresses": [{"name": "Pusan National University", "source_name": "Pusan National University, Pusan, Korea", "street_adddress": "2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea", "lat": "35.23315760", "lng": "129.07951000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1561-3"]}, {"id": "3c88ffb74573c87c994106b3ae164f316182fc2c", "title": "Shape-appearance-correlated active appearance model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/43334/1/SAC-AAM_v10_Huiling_20151023_modifiedVersion.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.002"]}, {"id": "ad0863aa16301d7c6617f8b965a64cf58f38594f", "title": "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra and Australian National University", "source_name": "University of Canberra and Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2829994"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "0d778271ed979ebfb59029647b4bf43c8ba34a85", "title": "MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09749.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "e3c8e49ffa7beceffca3f7f276c27ae6d29b35db", "title": "Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02182.pdf"], "doi": []}, {"id": "3918a0c698a9bc1ec576e2f5138ff5af41892822", "title": "It \u2019 s in the bag : Stronger supervision for automated face labelling", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3918/a0c698a9bc1ec576e2f5138ff5af41892822.pdf"], "doi": []}, {"id": "055fec9810fe1e98944a229303b0000afbb47b31", "title": "A large-scale hierarchical multi-view RGB-D object dataset", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980382"]}, {"id": "84f003d3cfb093b0cebfa3ae8ae5f138a5677558", "title": "Kinship verification in the wild: The first kinship verification competition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Politecnico di Torino, DAUIN, Italy", "source_name": "Politecnico di Torino, DAUIN, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.kinfacew.com/papers/kinship_ijcb14.pdf", "https://acceda.ulpgc.es:8443/bitstream/10553/15755/5/C088_IJCB14_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996230", "http://doi.org/10.1109/BTAS.2014.6996230"]}, {"id": "751b26e7791b29e4e53ab915bfd263f96f531f56", "title": "Mood meter: counting smiles in the wild", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2370264"]}, {"id": "bec31269632c17206deb90cd74367d1e6586f75f", "title": "Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08690.pdf"], "doi": []}, {"id": "41951953579a0e3620f0235e5fcb80b930e6eee3", "title": "Deep Learning Face Representation by Joint Identification-Verification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.4773.pdf"], "doi": []}, {"id": "8e8a6623b4abd2452779c43f3c2085488dfcb323", "title": "Multi-clue fusion for emotion recognition in the wild", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997630"]}, {"id": "8ffa008fc08595da0cadc80dcaefb60c3cf41ba9", "title": "Performance-Led Research in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2491502"]}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "757f7f1a1cd62cf00150cdcfbdc5cd02c63553f1", "title": "HoloNet: towards robust emotion recognition in the wild", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997639"]}, {"id": "b8df2c2fa02a37d09b73277ca4edde654ac80953", "title": "Exploiting Facial Landmarks for Emotion Recognition in the Wild.", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09129.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "a28adc7e175e03b59a3bec8cdc0172670db55e62", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297067"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.06451.pdf"], "doi": []}, {"id": "3c97c32ff575989ef2869f86d89c63005fc11ba9", "title": "Face Detection with the Faster R-CNN", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.03473.pdf"], "doi": []}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "4dae1c18838233338481e3ed29bf6e1252cb68f2", "title": "Toward a Comprehensive Face Detector in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122006"]}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "66449f6eb492864c86ab80e81417b5003a76a36b", "title": "Video emotion recognition in the wild based on fusion of multimodal features", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997629"]}, {"id": "8b547b87fd95c8ff6a74f89a2b072b60ec0a3351", "title": "Initial perceptions of a casual game to crowdsource facial expressions in the wild", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8b54/7b87fd95c8ff6a74f89a2b072b60ec0a3351.pdf"], "doi": []}]} \ No newline at end of file +{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "paper": {"key": "lfpw", "name": "LFPW", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "year": "2011", "addresses": []}, "citations": [{"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "54aafe33c4a32fb5875d04fd4a6e6da50920c263", "title": "Robust principal component analysis?", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1970395"]}, {"id": "1a1a60fd4dc88a14c016b95789385801c6b80574", "title": "Sparse representation or collaborative representation: Which helps face recognition?", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://sse.tongji.edu.cn/linzhang/CV/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf", "http://sse.tongji.edu.cn/linzhang/CV14/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126277", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126277", "http://doi.org/10.1109/ICCV.2011.6126277"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "0ec1673609256b1e457f41ede5f21f05de0c054f", "title": "Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://research.microsoft.com/pubs/192106/HighDimFeature.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d025.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Blessing_of_Dimensionality_2013_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/PID2716719.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619233", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.389", "http://doi.org/10.1109/CVPR.2013.389"]}, {"id": "c75ba6ef724c0c3a9c9510a70da4cc8729b59a35", "title": "FaceWarehouse: A 3D Facial Expression Database for Visual Computing", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk3_facewarehouse.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654137", "http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.249", "http://doi.org/10.1109/TVCG.2013.249", "https://www.ncbi.nlm.nih.gov/pubmed/24434222"]}, {"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "addresses": [{"name": "TU Graz", "source_name": "Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria", "street_adddress": "Graz, Austria", "lat": "47.07071400", "lng": "15.43950400", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130513"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "84b50ebe85f7a1721800125e7882fce8c45b5c5a", "title": "Cats and dogs", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248092"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780823", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.454", "http://doi.org/10.1109/CVPR.2016.454"]}, {"id": "c5366f412f2e8e78280afcccc544156f63b516e3", "title": "Meta-Analysis of the First Facial Expression Recognition Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/fera_smcb.pdf", "http://lep.unige.ch/system/files/biblio/2012_Valstar_MetaAnalysisGEMEP-FERA.pdf", "http://www.cs.nott.ac.uk/~mfv/Documents/fera_smcb.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/fera_smcb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222016", "http://doi.org/10.1109/TSMCB.2012.2200675", "https://www.ncbi.nlm.nih.gov/pubmed/22736651", "https://www.wikidata.org/entity/Q39596424"]}, {"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "title": "Labeled Faces in the Wild : Updates and New Reporting Procedures", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf"], "doi": []}, {"id": "4335d53e763b2caf20f06928cd420ae09e5041ad", "title": "Discrete-continuous optimization for multi-target tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://research.milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2012/andriyenko-cvpr-preprint.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr12andriyenko.pdf", "http://www.milanton.de/files/cvpr2012/cvpr2012-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247893", "http://doi.org/10.1109/CVPR.2012.6247893"]}, {"id": "30ff7845c8b0de24f8e494b815f3041feeb508d4", "title": "3D Constrained Local Model for rigid and non-rigid facial tracking", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247980"]}, {"id": "4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea", "title": "Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark", "addresses": [{"name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "source_name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "street_adddress": "421 Discovery Dr, Paddys River ACT 2620, Australia", "lat": "-35.40141670", "lng": "148.98162610", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": ["http://staff.estem-uc.edu.au/roland/wp-content/uploads/file/roland/publications/Conference/ICCV/BeFIT2011/dhall_goecke_lucey_gedeon_BeFIT2011_StaticFacialExpressionAnalysisInToughConditions.pdf", "http://www.researchgate.net/profile/Roland_Goecke/publication/221429947_Static_facial_expression_analysis_in_tough_conditions_Data_evaluation_protocol_and_benchmark/links/0fcfd50e81697312d6000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130508", "http://doi.org/10.1109/ICCVW.2011.6130508"]}, {"id": "add50a7d882eb38e35fe70d11cb40b1f0059c96f", "title": "High-fidelity Pose and Expression Normalization for face recognition in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14784/1/07298679.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Zhu_High-Fidelity_Pose_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_High-Fidelity_Pose_and_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298679", "http://doi.org/10.1109/CVPR.2015.7298679"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "0059a63e200139fd534e19703d37704fe9aaa8e1", "title": "FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences", "addresses": [{"name": "UC Berkeley, California, United States", "source_name": "UC Berkeley, California, United States", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298723"]}, {"id": "ef94d1445be4be7cc5ffc6b17f89e2d046bef416", "title": "Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103112"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "40928537845bd14f731b753bef8cdab59661c090", "title": "AverageExplorer: interactive exploration and alignment of visual data collections", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601145"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "title": "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip_2014.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip1.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/eleftheriadis_tip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6967830", "http://doi.org/10.1109/TIP.2014.2375634", "https://www.ncbi.nlm.nih.gov/pubmed/25438312", "https://www.wikidata.org/entity/Q50620802"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "91883dabc11245e393786d85941fb99a6248c1fb", "title": "Face Alignment In-the-Wild: A Survey", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.04188.pdf"], "doi": []}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "title": "Rejecting pseudo-faces using the likelihood of facial features and skin", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2012/BTAS%20144.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374602", "http://doi.org/10.1109/BTAS.2012.6374602"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "7a0b78879a13bd42c63cd947f583129137b16830", "title": "A Multiresolution 3D Morphable Face Model and Fitting Framework", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7a0b/78879a13bd42c63cd947f583129137b16830.pdf"], "doi": []}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial Landmark Localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "6fdf2f4f7ae589af6016305a17d460617d9ef345", "title": "Robust facial landmark localization using multi partial features", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350767", "http://doi.org/10.1109/ICIP.2015.7350767"]}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "ac51d9ddbd462d023ec60818bac6cdae83b66992", "title": "An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://downloads.hindawi.com/journals/cin/2015/709072.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26504460", "http://doi.org/10.1155/2015%2F709072", "https://www.wikidata.org/entity/Q36173072"]}, {"id": "159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1", "title": "Weak Classifier for Density Estimation in Eye Localization and Tracking", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}, {"name": "Universidade Federal do Rio de Janeiro", "source_name": "Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil", "street_adddress": "Av. Pedro Calmon, 550 - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21941-901, Brazil", "lat": "-22.95414120", "lng": "-43.17536380", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898792", "http://doi.org/10.1109/TIP.2017.2694226", "https://www.ncbi.nlm.nih.gov/pubmed/28422660", "https://www.wikidata.org/entity/Q38830601"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "bd8e2d27987be9e13af2aef378754f89ab20ce10", "title": "Facial feature points detecting based on Gaussian Mixture Models", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.11.004"]}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "c4aa3dfb8aee7803f17335b0f15108e774023fd9", "title": "Face Image Modeling by Multilinear Subspace Analysis With Missing Values", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "Monash University", "source_name": "Monash University", "street_adddress": "Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.78397455", "lng": "144.95867433", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5678656"]}, {"id": "70eeacf9f86ba08fceb3dd703cf015016dac1930", "title": "Coupled information-theoretic encoding for face photo-sketch recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/CITE_final.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tutorials/CITF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/tutorials/CITF.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995324", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995324", "http://doi.org/10.1109/CVPR.2011.5995324"]}, {"id": "2ea106282753dd754f1fcd65728a4effee42d58a", "title": "Sparse Filtering", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/2ea1/06282753dd754f1fcd65728a4effee42d58a.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "004ea00cc92d09a4dd6f3ff5ae88b28d26a24cec", "title": "General and nested Wiberg minimization", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247850"]}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "1aa216737bb53366d556c01d1985f2f4d4c1d284", "title": "Optical flow in the presence of spatially-varying motion blur", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247871"]}, {"id": "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "title": "3D facial geometric features for constrained local model", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://doc.utwente.nl/95232/1/Pantic_3D_facial_geometric_features.pdf", "http://eprints.eemcs.utwente.nl/25826/01/Pantic_3D_facial_geometric_features.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/3d_local_features.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025285", "http://doi.org/10.1109/ICIP.2014.7025285"]}, {"id": "2969f822b118637af29d8a3a0811ede2751897b5", "title": "Cascaded Shape Space Pruning for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://iip.ict.ac.cn/sites/default/files/publication/2013_ICCV_xwzhao_Cascaded%20Shape%20Space%20Pruning%20for%20Robust%20Facial%20Landmark%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751238", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.132", "http://doi.org/10.1109/ICCV.2013.132"]}, {"id": "7492c611b1df6bce895bee6ba33737e7fc7f60a6", "title": "The 3D Menpo Facial Landmark Tracking Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/zafeiriou_the_3d_menpo_iccv_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265505", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.16", "http://doi.org/10.1109/ICCVW.2017.16"]}, {"id": "beae35eb5b2c7f63dfa9115f07b5ba0319709951", "title": "Discriminative 3D morphable model fitting", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/3dmm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163096", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163096", "http://doi.org/10.1109/FG.2015.7163096"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "e27f5d160b784a838acf266bb1055d7ba0a8b1d1", "title": "Distinguishable de-identified faces", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285019"]}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "addresses": [{"name": "Australian National University, Canberra", "source_name": "Australian National University, Canberra", "street_adddress": "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "lat": "-35.28121335", "lng": "149.11665331", "type": "edu", "country": "Australia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "4209910f27a52c76af73f141fe620295cf92c01d", "title": "Construction of a Genetic Linkage Map and Genetic Analysis of Domestication Related Traits in Mungbean (Vigna radiata)", "addresses": [{"name": "Kasetsart University", "source_name": "Faculty of Engineering, Kasetsart University, Bangkok, Thailand", "street_adddress": "50 Phahonyothin Rd, Khwaeng Lat Yao, Khet Chatuchak, Krung Thep Maha Nakhon 10903, Thailand", "lat": "13.84574700", "lng": "100.57019010", "type": "edu", "country": "Thailand"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4209/910f27a52c76af73f141fe620295cf92c01d.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "fd615118fb290a8e3883e1f75390de8a6c68bfde", "title": "Joint Face Alignment with Non-parametric Shape Models", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fd61/5118fb290a8e3883e1f75390de8a6c68bfde.pdf"], "doi": []}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "63fd7a159e58add133b9c71c4b1b37b899dd646f", "title": "Exemplar-Based Human Action Pose Correction", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://wei-shen.weebly.com/uploads/2/3/8/2/23825939/posecorrection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603332", "http://doi.org/10.1109/TCYB.2013.2279071", "https://www.ncbi.nlm.nih.gov/pubmed/24058046", "https://www.wikidata.org/entity/Q43796448"]}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "5befd78017c51dcc6cb1394e1144d50bc936c7c8", "title": "Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter", "addresses": [{"name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "source_name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "street_adddress": "Estr. de Adrian\u00f3polis, 1317 - Vila Nossa Sra. da Conceicao, Nova Igua\u00e7u - RJ, 26041-271, Brazil", "lat": "-22.70465580", "lng": "-43.46242130", "type": "edu", "country": "Brazil"}, {"name": "Technion Autonomous Systems Program, Technion\u2014Israel Institute of Technology, Haifa, Israel", "source_name": "Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489195"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "0d3d942f3279471430bf374f61d60af69bd06121", "title": "Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5661774"]}, {"id": "4079cd0b94e3f4423a54c58fe15fd29a46a5652e", "title": "Learning temporal signatures for Lip Reading", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130355"]}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "09ce14b84af2dc2f76ae1cf227356fa0ba337d07", "title": "Face reconstruction in the wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "University of Washington & Google, Inc.", "source_name": "University of Washington and Google Inc.", "street_adddress": "University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA", "lat": "47.66074610", "lng": "-122.31458380", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://grail.cs.washington.edu/3dfaces/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126439", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126439", "http://doi.org/10.1109/ICCV.2011.6126439"]}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3619a9b46ad4779d0a63b20f7a6a8d3d49530339", "title": "Fisher Vector Faces in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3619/a9b46ad4779d0a63b20f7a6a8d3d49530339.pdf"], "doi": []}, {"id": "1a140d9265df8cf50a3cd69074db7e20dc060d14", "title": "Face Parts Localization Using Structured-Output Regression Forests", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a14/0d9265df8cf50a3cd69074db7e20dc060d14.pdf"], "doi": []}, {"id": "14ce7635ff18318e7094417d0f92acbec6669f1c", "title": "DeepFace: Closing the Gap to Human-Level Performance in Face Verification", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://data.over-blog-kiwi.com/0/90/51/05/20140323/ob_600872_deepface.pdf", "http://static1.trouw.nl/static/asset/2014/deepface_4361.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_11_01_2013.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_prev.pdf", "http://www.cs.tau.ac.il/~wolf/papers/paper_1819_supplementary_deepface.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_supp_material_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909616", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.220", "http://doi.org/10.1109/CVPR.2014.220"]}, {"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "title": "Face recognition in unconstrained videos with matched background similarity", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995566"]}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "181708b09bde7f4904f8fd92b3668d76e7aff527", "title": "Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666275"]}, {"id": "fb528dcfa355779aff996cd1f0ef9d96f918080f", "title": "Intrinsic images in the wild", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601206"]}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "12003a7d65c4f98fb57587fd0e764b44d0d10125", "title": "Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2015", "pdf": ["http://luks.fe.uni-lj.si/en/staff/simond/publications/Dobrisek2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284835", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284835", "http://doi.org/10.1109/FG.2015.7284835"]}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "5a51a18a63fc57cd9ef206bcfdb303933c2bcfb9", "title": "AppInsight: Mobile App Performance Monitoring in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a51/a18a63fc57cd9ef206bcfdb303933c2bcfb9.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "7df4f96138a4e23492ea96cf921794fc5287ba72", "title": "A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08705.pdf"], "doi": []}, {"id": "e8f4ded98f5955aad114f55e7aca6b540599236b", "title": "Convolutional Fusion Network for Face Verification in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://labicvl.github.io/docs/pubs/Chao_TCSVT_2015.pdf", "https://labicvl.github.io/docs/pubs/Chao_TCSVT_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047804", "http://doi.org/10.1109/TCSVT.2015.2406191", "https://doi.org/10.1109/TCSVT.2015.2406191"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "title": "Why is facial expression analysis in the wild challenging?", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531924"]}, {"id": "516f412a76911a13c9128aac827b52b27b98fad9", "title": "Uncovering social network sybils in the wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2556609"]}, {"id": "0573f3d2754df3a717368a6cbcd940e105d67f0b", "title": "Emotion recognition in the wild challenge 2016", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531739"]}, {"id": "d4cbb00008da7ffad80fd9de0a94876ff9d53759", "title": "Visual Kinship Recognition of Families in the Wild", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337841"]}, {"id": "58192249cc6aa7b21ef32685f610585d5782544b", "title": "The FG 2015 Kinship Verification in the Wild Evaluation", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Politecnico di Torino, DAUIN, Torino, Italy", "source_name": "Politecnico di Torino, DAUIN, Torino, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://liris.cnrs.fr/Documents/Liris-7046.pdf", "http://translectures.videolectures.net/site/normal_dl/tag=977250/fgconference2015_liong_wild_evaluation_01.pdf", "https://hal.archives-ouvertes.fr/hal-01158942/file/Liris-7046.pdf", "https://pdfs.semanticscholar.org/5819/2249cc6aa7b21ef32685f610585d5782544b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163159", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163159", "http://doi.org/10.1109/FG.2015.7163159"]}, {"id": "acd4280453b995cb071c33f7c9db5760432f4279", "title": "Deep transformation learning for face recognition in the unconstrained scene", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0907-1"]}, {"id": "1e62935d9288446abdaeb1fec84daa12a684b300", "title": "Detecting adversarial advertisements in the wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2020455"]}, {"id": "29c68d6e8370c04f0e1094b7de5d8b2f12821f4b", "title": "Spotting Facial Micro-Expressions \u201c In the Wild \u201d", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29c6/8d6e8370c04f0e1094b7de5d8b2f12821f4b.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "47471105d9ee2276e14ab4a3a4d66ef58612188f", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "18aaeaba26d95482fc40d560c49f0a7f22ea0870", "title": "Automatic Detection of Learning-Centered Affective States in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2701397"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "title": "Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Kim_Fusing_Aligned_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789677", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.187", "http://doi.org/10.1109/CVPRW.2016.187"]}, {"id": "7d6e2d45340270b80d17c4869761c58ca7c9c489", "title": "Counting in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.eccv2016.org/files/posters/P-3B-19.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Arteta16/arteta16.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Arteta16/poster.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46478-7_30"]}, {"id": "3868c75855df640a73b1fcdfa5df1bb92b878099", "title": "Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.05768.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "01dbc5466cce6abd567cc5b34a481f5c438fb15a", "title": "The Web Never Forgets: Persistent Tracking Mechanisms in the Wild", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660347"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "14efb131bed66f1874dd96170f714def8db45d90", "title": "Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild", "addresses": [{"name": "Intel Labs China, Beijing, China", "source_name": "Intel Labs China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830585"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "a4725a5b43e7c36d9e30028dff66958f892254a0", "title": "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "source_name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "street_adddress": "Kensington, London SW7 2AZ, UK", "lat": "51.49879970", "lng": "-0.17487720", "type": "edu", "country": "United Kingdom"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666271"]}, {"id": "54e988bc0764073a5db2955705d4bfa8365b7fa9", "title": "Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531749"]}, {"id": "4fbf0b611741b1dc3d9c29738c9a498e7509cb56", "title": "Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830584"]}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "a000e15656e84dd538f1f0b8f8639dd29f122c95", "title": "Multimodal fusion based on information gain for emotion recognition in the wild", "addresses": [{"name": "Maastricht University", "source_name": "Maastricht University", "street_adddress": "UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland", "lat": "50.83367120", "lng": "5.71589000", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324224", "http://doi.org/10.1109/intellisys.2017.8324224"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "fdb80f9c506e69fac4d31fd9dcefc2120c990e5f", "title": "Deep Learning in the Wild", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04950.pdf"], "doi": []}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "4fb009787697cd47914fca1085b8fd932fe26337", "title": "WildFish: A Large Benchmark for Fish Recognition in the Wild", "addresses": [{"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240616"]}, {"id": "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "title": "Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666277"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "2edc6df161f6aadbef9c12408bdb367e72c3c967", "title": "Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666278"]}, {"id": "af403e5eaae305260283d2f301fa00402835ffa5", "title": "Directions robot: in-the-wild experiences and lessons learned", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ed05/5c3c6298db572b291f0e5742763db8a6fbce.pdf"], "doi": []}, {"id": "177bc509dd0c7b8d388bb47403f28d6228c14b5c", "title": "Deep Learning Face Representation from Predicting 10,000 Classes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf", "http://user.ceng.metu.edu.tr/~gcinbis/courses/Spring17/CS559/presentations/W12b_SayginDogu.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909640", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.244", "http://doi.org/10.1109/CVPR.2014.244"]}, {"id": "ad29afdbce160d3749a3685da75bc35b16d64b95", "title": "Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830588"]}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "709ec2146eace9707953e72463de4805b83c720a", "title": "Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264992"]}, {"id": "04f0292d9a062634623516edd01d92595f03bd3f", "title": "Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531742"]}, {"id": "87380b03f2c0a5f2c80b5a109c81405b0718c76d", "title": "The genomic landscape underlying phenotypic integrity in the face of gene flow in crows", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://pub.ist.ac.at/~payne/Poelstra_et_al-2014-Crows.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/29667/Poelstra_0-260687.pdf?isAllowed=y&sequence=3"], "doi": ["https://doi.org/10.1126/science.1253226", "https://www.ncbi.nlm.nih.gov/pubmed/24948738"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "c4e5e9dfac23d26ca866467f415f383a0c65f5c8", "title": "Visual Voice Activity Detection in the Wild", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420734"]}, {"id": "93e451f71245f8e5ba346a48de2d09c0bccc3c22", "title": "Towards an \u201cIn-the-Wild\u201d Emotion Dataset Using a Game-Based Framework", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02678.pdf"], "doi": []}, {"id": "f0f89b9336f871d8c6ebbaefbae171efcd7ff4fd", "title": "Competition between Jagged-Notch and Endothelin1 Signaling Selectively Restricts Cartilage Formation in the Zebrafish Upper Face", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0f8/9b9336f871d8c6ebbaefbae171efcd7ff4fd.pdf"], "doi": []}, {"id": "bccad316045861ef4ceb288f7dd9dff5cc2e5cc1", "title": "CamForensics: Understanding Visual Privacy Leaks in the Wild", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131683"]}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "244c7d89bcd67b26756123edf44c71fd5f39dea6", "title": "GestureGAN for Hand Gesture-to-Gesture Translation in the Wild", "addresses": [{"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}, {"name": "University of Oxford & University of Trento", "source_name": "University of Oxford & University of Trento, Oxford, United Kingdom", "street_adddress": "Oxford OX1 2JD, UK", "lat": "51.75481640", "lng": "-1.25436680", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240704"]}, {"id": "5a5c85cf5c21a3559fbdf7da2263c7da860ea193", "title": "Learning supervised scoring ensemble for emotion recognition in the wild", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143009"]}, {"id": "2f16b13d8b118ba2cd35a13568149f6ddb22219d", "title": "Taming the Wild RubisCO: Explorations in Functional Metagenomics", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2f16/b13d8b118ba2cd35a13568149f6ddb22219d.pdf"], "doi": []}, {"id": "23f18899037c77efea58cbde7b029225af7e0db9", "title": "Face alignment using structured random regressors combined with statistical shape model fitting", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727052", "http://doi.org/10.1109/IVCNZ.2013.6727052"]}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "c00935052d80cddedb53da1ed042055faaf3aa1b", "title": "Re-identifying people in the wild", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "source_name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "street_adddress": "Universitat Polit\u00e8cnica de, Camino de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.47908500", "lng": "-0.33364500", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638065", "http://doi.org/10.1109/ICASSP.2013.6638065"]}, {"id": "89cce3cd411901e5de02cf508679d0ed2fd3bbe1", "title": "Dietary contribution of Wild Edible Plants to women\u2019s diets in the buffer zone around the Lama forest, Benin \u2013 an underutilized potential", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://dspace.itg.be/bitstream/handle/10390/8332/2014fsec0833.pdf;sequence=1", "https://biblio.ugent.be/publication/5736684/file/5890311.pdf", "https://bioversityinternational.org/fileadmin/_migrated/uploads/tx_news/Dietary_contribution_of_wild_edible_plants_to_women_s_diets_in_the_buffer_zone_1881.pdf"], "doi": ["https://doi.org/10.1007/s12571-014-0396-7"]}, {"id": "111ccb406a68d3fa898d65e059d1c8dab71f26d6", "title": "Expression analysis in the wild: from individual to groups", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461529"]}, {"id": "0e6bcc235037d91ccdf74c449a1f6990848ce993", "title": "Detector discovery in the wild: Joint multiple instance and representation learning", "addresses": [{"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298906"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "cfc158b31623d4f9f9cce547616dbaaa083b2291", "title": "Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7891939"]}, {"id": "02b3a4fdc8d2322ac41c664563ee036a973fd126", "title": "Faces in the Distorting Mirror: Revisiting Photo-based Social Authentication", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FORTH, Heraklion, Greece", "source_name": "Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}, {"name": "Politecnico di Milano", "source_name": "Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it", "street_adddress": "5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy", "lat": "45.47866980", "lng": "9.23242090", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660317"]}, {"id": "d0e7b0b3dcea6aed5c746f9fab73d8b183dbb79e", "title": "Multimodal Sentiment Analysis in the Wild: Ethical considerations on Data Collection, Annotation, and Exploitation", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d0e7/b0b3dcea6aed5c746f9fab73d8b183dbb79e.pdf"], "doi": []}, {"id": "e2fe04d9a3bd3aa3cbd9c281170b4f49119a88fd", "title": "Detecting kangaroos in the wild: the first step towards automated animal surveillance", "addresses": [{"name": "Queensland Parks and Wildlife Service, Australia", "source_name": "Queensland Parks and Wildlife Service, Australia", "street_adddress": "890 Binna Burra Rd, Binna Burra QLD 4211, Australia", "lat": "-28.19433350", "lng": "153.18424230", "type": "gov", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178313"]}, {"id": "13be4f13dac6c9a93f969f823c4b8c88f607a8c4", "title": "Family in the Wild (FIW): A Large-scale Kinship Recognition Database", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/13be/4f13dac6c9a93f969f823c4b8c88f607a8c4.pdf"], "doi": []}, {"id": "0d3068b352c3733c9e1cc75e449bf7df1f7b10a4", "title": "Context Based Facial Expression Analysis in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~adhall/Dhall_ACII_DC_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6681502", "http://doi.ieeecomputersociety.org/10.1109/ACII.2013.111", "http://doi.org/10.1109/ACII.2013.111"]}, {"id": "71aac0c95beb71581f8308a1cc3932acacefb7c5", "title": "Fluid Grouping: Quantifying Group Engagement around Interactive Tabletop Exhibits in the Wild", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702231"]}, {"id": "540831094fd9b80469c8dacb9320b7e342b50e03", "title": "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05561.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "e5533c70706109ee8d0b2a4360fbe73fd3b0f35d", "title": "How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07332.pdf"], "doi": []}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"], "doi": []}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "title": "Coarse-to-fine facial landmarks localization based on convolutional feature", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256378", "http://doi.org/10.1109/BESC.2017.8256378"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "5e97a1095f2811e0bc188f52380ea7c9c460c896", "title": "Facial feature parsing and landmark detection via low-rank matrix decomposition", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.utk.edu/~rguo1/FacialParsing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351510", "http://doi.org/10.1109/ICIP.2015.7351510"]}, {"id": "ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c", "title": "Fast Localization of Facial Landmark Points", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6888.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "73a70595af6500505b46de91afbe108ce2fc2aee", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005459"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "98ea47f63aed83951217870771da3f57b0295689", "title": "Recurrent Shape Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8341745"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "title": "Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532432", "http://doi.org/10.1109/ICIP.2016.7532432"]}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412675"]}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"id": "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "title": "A New Method for Face Alignment under Extreme Poses and Occlusion", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546065"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "62e834114b58a58a2ea2d7b6dd7b0ce657a64317", "title": "Adaptive facial feature extraction", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6973987", "http://doi.org/10.1109/SMC.2014.6973987"]}, {"id": "92e464a5a67582d5209fa75e3b29de05d82c7c86", "title": "Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf"], "doi": []}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "4c87aafa779747828054cffee3125fcea332364d", "title": "View-Constrained Latent Variable Model for Multi-view Facial Expression Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c87/aafa779747828054cffee3125fcea332364d.pdf"], "doi": []}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "6a931e7b7475635f089dd33e8d9a2899ae963804", "title": "Unified convolutional neural network for direct facial keypoints detection", "addresses": [{"name": "Pusan National University", "source_name": "Pusan National University, Pusan, Korea", "street_adddress": "2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea", "lat": "35.23315760", "lng": "129.07951000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1561-3"]}, {"id": "3c88ffb74573c87c994106b3ae164f316182fc2c", "title": "Shape-appearance-correlated active appearance model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/43334/1/SAC-AAM_v10_Huiling_20151023_modifiedVersion.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.002"]}, {"id": "c069629a51f6c1c301eb20ed77bc6b586c24ce32", "title": "The Caltech-UCSD Birds-200-2011 Dataset", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c069/629a51f6c1c301eb20ed77bc6b586c24ce32.pdf"], "doi": []}, {"id": "ad0863aa16301d7c6617f8b965a64cf58f38594f", "title": "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra and Australian National University", "source_name": "University of Canberra and Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2829994"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "0d778271ed979ebfb59029647b4bf43c8ba34a85", "title": "MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09749.pdf"], "doi": []}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "e3c8e49ffa7beceffca3f7f276c27ae6d29b35db", "title": "Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02182.pdf"], "doi": []}, {"id": "3918a0c698a9bc1ec576e2f5138ff5af41892822", "title": "It \u2019 s in the bag : Stronger supervision for automated face labelling", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3918/a0c698a9bc1ec576e2f5138ff5af41892822.pdf"], "doi": []}, {"id": "055fec9810fe1e98944a229303b0000afbb47b31", "title": "A large-scale hierarchical multi-view RGB-D object dataset", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980382"]}, {"id": "84f003d3cfb093b0cebfa3ae8ae5f138a5677558", "title": "Kinship verification in the wild: The first kinship verification competition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Politecnico di Torino, DAUIN, Italy", "source_name": "Politecnico di Torino, DAUIN, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.kinfacew.com/papers/kinship_ijcb14.pdf", "https://acceda.ulpgc.es:8443/bitstream/10553/15755/5/C088_IJCB14_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996230", "http://doi.org/10.1109/BTAS.2014.6996230"]}, {"id": "751b26e7791b29e4e53ab915bfd263f96f531f56", "title": "Mood meter: counting smiles in the wild", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2370264"]}, {"id": "bec31269632c17206deb90cd74367d1e6586f75f", "title": "Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08690.pdf"], "doi": []}, {"id": "41951953579a0e3620f0235e5fcb80b930e6eee3", "title": "Deep Learning Face Representation by Joint Identification-Verification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.4773.pdf"], "doi": []}, {"id": "8e8a6623b4abd2452779c43f3c2085488dfcb323", "title": "Multi-clue fusion for emotion recognition in the wild", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997630"]}, {"id": "8ffa008fc08595da0cadc80dcaefb60c3cf41ba9", "title": "Performance-Led Research in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2491502"]}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "757f7f1a1cd62cf00150cdcfbdc5cd02c63553f1", "title": "HoloNet: towards robust emotion recognition in the wild", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997639"]}, {"id": "b8df2c2fa02a37d09b73277ca4edde654ac80953", "title": "Exploiting Facial Landmarks for Emotion Recognition in the Wild.", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09129.pdf"], "doi": []}, {"id": "e99b444b05cc1252bc131ddd46214c9e727f668c", "title": "3D Hand Shape and Pose from Images in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03451.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "a28adc7e175e03b59a3bec8cdc0172670db55e62", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297067"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.06451.pdf"], "doi": []}, {"id": "3c97c32ff575989ef2869f86d89c63005fc11ba9", "title": "Face Detection with the Faster R-CNN", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.03473.pdf"], "doi": []}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "4dae1c18838233338481e3ed29bf6e1252cb68f2", "title": "Toward a Comprehensive Face Detector in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122006"]}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "66449f6eb492864c86ab80e81417b5003a76a36b", "title": "Video emotion recognition in the wild based on fusion of multimodal features", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997629"]}, {"id": "8b547b87fd95c8ff6a74f89a2b072b60ec0a3351", "title": "Initial perceptions of a casual game to crowdsource facial expressions in the wild", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8b54/7b87fd95c8ff6a74f89a2b072b60ec0a3351.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/megaface.json b/site/datasets/citations/megaface.json index 4446fd24..dc264fdc 100644 --- a/site/datasets/citations/megaface.json +++ b/site/datasets/citations/megaface.json @@ -1 +1 @@ -{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}]}, "citations": [{"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}, {"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3", "title": "Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01619.pdf"], "doi": []}, {"id": "cbbd13c29d042743f0139f1e044b6bca731886d0", "title": "Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbbd/13c29d042743f0139f1e044b6bca731886d0.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06591.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "dde5125baefa1141f1ed50479a3fd67c528a965f", "title": "Synthesizing Normalized Faces from Facial Identity Features", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04851.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}]} \ No newline at end of file +{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}]}, "citations": [{"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}, {"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3", "title": "Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01619.pdf"], "doi": []}, {"id": "cbbd13c29d042743f0139f1e044b6bca731886d0", "title": "Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbbd/13c29d042743f0139f1e044b6bca731886d0.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06591.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "dde5125baefa1141f1ed50479a3fd67c528a965f", "title": "Synthesizing Normalized Faces from Facial Identity Features", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04851.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/msceleb.json b/site/datasets/citations/msceleb.json index ee93dfef..c173838c 100644 --- a/site/datasets/citations/msceleb.json +++ b/site/datasets/citations/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "paper": {"key": "msceleb", "name": "MsCeleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248342", "http://doi.org/10.1109/ICSAI.2017.8248342"]}, {"id": "db35e0d084ac38dae8d80901bdfd5af6191f8a5e", "title": "Virtual Class Enhanced Discriminative Embedding Learning", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12611.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "4f10a7697fb2a2c626d1190db2afba83c4ffe856", "title": "Cartoon-to-Photo Facial Translation with Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f10/a7697fb2a2c626d1190db2afba83c4ffe856.pdf"], "doi": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "153fbae25efd061f9046970071d0cfe739a35a0e", "title": "FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545274"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "7c1e9eac39dfc98a54e4d3a80e5734cbfc33178b", "title": "Disentangled Variational Representation for Heterogeneous Face Recognition", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1809.01936.pdf"], "doi": []}, {"id": "98518fc368d7e1478cef40f5f8fd4468763645ad", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"name": "University of South China", "source_name": "University of South China, Hunan, China", "street_adddress": "China, Hunan Sheng, Hengyang Shi, Zhengxiang Qu, \u5e38\u80dc\u897f\u8def28\u53f7", "lat": "26.89887000", "lng": "112.59043500", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/cin/2018/4512473.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29849547", "https://doi.org/10.1155/2018%2F4512473", "https://www.wikidata.org/entity/Q55220544"]}, {"id": "7a131fafa7058fb75fdca32d0529bc7cb50429bd", "title": "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04086.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "title": "Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12026.pdf"], "doi": []}, {"id": "361eaef45fccfffd5b7df12fba902490a7d24a8d", "title": "Robust deep learning features for face recognition under mismatched conditions", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404319", "http://doi.org/10.1109/SIU.2018.8404319", "https://doi.org/10.1109/SIU.2018.8404319"]}, {"id": "e47f4a127f41c055fb7893ddc295932ead783c63", "title": "Adversarial Discriminative Heterogeneous Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03675.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "title": "To appear in ICB 2018 Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "26567da544239cc6628c5696b0b10539144cbd57", "title": "The GAN that Warped: Semantic Attribute Editing with Unpaired Data", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12784.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "title": "L2-constrained Softmax Loss for Discriminative Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09507.pdf"], "doi": []}, {"id": "3011b5fce49112228711a9e5f92d6f191687c1ea", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "addresses": [{"name": "University of Modena and Reggio", "source_name": "DIEF, University of Modena and Reggio, Modena, 41125, Italy", "street_adddress": "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "lat": "44.62918470", "lng": "10.94879780", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "1929863fff917ee7f6dc428fc1ce732777668eca", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "3a27d164e931c422d16481916a2fa6401b74bcef", "title": "Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03654.pdf"], "doi": []}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "title": "Pairwise Relational Networks for Face Recognition", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "addresses": [{"name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "source_name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f02f0f6fcd56a9b1407045de6634df15c60a85cd", "title": "Learning Low-shot facial representations via 2D warping", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05015.pdf"], "doi": []}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"], "doi": []}, {"id": "19fa871626df604639550c6445d2f76cd369dd13", "title": "DocFace: Matching ID Document Photos to Selfies", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02283.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"], "doi": []}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "1da8178bfca7c76cae53ec34364d86c7d5713fdd", "title": "Pairwise Relational Networks using Local Appearance Features for Face Recognition", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06405.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Research, Princeton, NJ", "source_name": "Siemens Corporate Research, Princeton, NJ", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "85d040c9886d6a966a96516e6c6df1e17060e384", "title": "Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector", "addresses": [{"name": "Graduate University of Advanced Studies", "source_name": "Graduate university of for Advanced Studies, Kanagawa, Japan", "street_adddress": "Shonankokusaimura, Hayama, Miura District, Kanagawa Prefecture 240-0193, Japan", "lat": "35.26109500", "lng": "139.60838900", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486579"]}, {"id": "f917cdd7f7330454e52205ebda6147aa9fdef9da", "title": "Perceptual Face Completion using a Local-Global Generative Adversarial Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545559"]}, {"id": "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "title": "Robust Distance Metric Learning via Bayesian Inference", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8186228", "http://doi.org/10.1109/TIP.2017.2782366", "https://www.ncbi.nlm.nih.gov/pubmed/29990222"]}, {"id": "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "title": "Faces as Lighting Probes via Unsupervised Deep Highlight Extraction", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06340.pdf"], "doi": []}, {"id": "46702e0127e16a4d6a1feda3ffc5f0f123957e87", "title": "Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06131.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "7fa4e972da46735971aad52413d17c4014c49e6e", "title": "How to Train Triplet Networks with 100K Identities?", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02940.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "0c65226edb466204189b5aec8f1033542e2c17aa", "title": "A study of CNN outside of training conditions", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296997", "http://doi.org/10.1109/ICIP.2017.8296997"]}, {"id": "fb3ff56ab12bd250caf8254eca30cd97984a949a", "title": "Face recognition Face2vec based on deep learning: Small database case", "addresses": [{"name": "Institute of Electronics and Computer Science, Riga, Latvia", "source_name": "Institute of Electronics and Computer Science, Riga, Latvia", "street_adddress": "Dz\u0113rbenes iela 14, Vidzemes priek\u0161pils\u0113ta, R\u012bga, LV-1006, Latvia", "lat": "56.97731900", "lng": "24.19439000", "type": "edu", "country": "Latvia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S0146411617010072"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "c053e59f0df43980ce7dd6d781f07df0f5b58a1f", "title": "Joint Pixel and Feature-level Domain Adaptation in the Wild", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00068.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "title": "Face-Voice Matching using Cross-modal Embeddings", "addresses": [{"name": "Hitachi, Ltd., Tokyo, Japan", "source_name": "Hitachi, Ltd., Tokyo, Japan", "street_adddress": "Japan, \u3012101-0021 Tokyo, Chiyoda, Sotokanda, 1 Chome\u221218\u2212\uff11\uff13 \u79cb\u8449\u539f\u30c0\u30a4\u30d3\u30eb", "lat": "35.69925030", "lng": "139.77215680", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240601"]}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1109/ICIP.2018.8451704"]}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "6f5309d8cc76d3d300b72745887addd2a2480ba8", "title": "KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3134425"]}, {"id": "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "title": "Feature Learning for One-Shot Face Recognition", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451464"]}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "c71217b2b111a51a31cf1107c71d250348d1ff68", "title": "One Network to Solve Them All \u2014 Solving Linear Inverse Problems Using Deep Projection Models", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09912.pdf"], "doi": []}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "addresses": [{"name": "La Rochelle University", "source_name": "L3i Laboratory, La Rochelle University, Rochelle, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "c71b0ed402437470f229b3fdabb88ad044c092ea", "title": "Dynamic Conditional Networks for Few-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c71b/0ed402437470f229b3fdabb88ad044c092ea.pdf"], "doi": []}, {"id": "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "title": "Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08107.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "addresses": [{"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"name": "University of Marburg", "source_name": "University of Marburg, Marburg, Germany", "street_adddress": "Biegenstra\u00dfe 10, 35037 Marburg, Germany", "lat": "50.81068590", "lng": "8.77416410", "type": "edu", "country": "Germany"}, {"name": "German National Library of Science and Technology, Hannover, Germany", "source_name": "German National Library of Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "source_name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "street_adddress": "C\u00e4sarstra\u00dfe 58, 50968 K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "company", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4962-9", "https://www.wikidata.org/entity/Q57757290"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "313d5eba97fe064bdc1f00b7587a4b3543ef712a", "title": "Compact Deep Aggregation for Set Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb7f/93467b0ec1afd43d995e511f5d7bf052a5af.pdf"], "doi": []}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "title": "FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01288.pdf"], "doi": []}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "title": "Coupled Deep Learning for Heterogeneous Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02450.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "title": "GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf"], "doi": []}, {"id": "3901f177642912be3fd132807a1e7d16796d1011", "title": "Selecting active frames for action recognition with vote fusion method", "addresses": [{"name": "Hanoi National University of Education", "source_name": "Hanoi National University of Education, Hanoi, Vietnam", "street_adddress": "S\u1ed1 136 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i 123106, Vietnam", "lat": "21.03741430", "lng": "105.78334730", "type": "edu", "country": "Vietnam"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Engineering and Technology, Vietnam", "source_name": "University of Engineering and Technology, Hanoi, Vietnam", "street_adddress": "144 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i, Vietnam", "lat": "21.03823750", "lng": "105.78270760", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539313"]}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "addresses": [{"name": "Shenzhen Institute of Wuhan University", "source_name": "Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China", "street_adddress": "6 Yuexing 3rd Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.52831570", "lng": "113.94481000", "type": "edu", "country": "China"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "title": "Deep Correlation Feature Learning for Face Verification in the Wild", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976346", "http://doi.org/10.1109/LSP.2017.2726105"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "addresses": [{"name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "source_name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "CASIA, National Laboratory of Pattern Recognition", "source_name": "CASIA, National Laboratory of Pattern Recognition", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "dec0c26855da90876c405e9fd42830c3051c2f5f", "title": "Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "addresses": [{"name": "Ecole Centrale de Lyon", "source_name": "Ecole Centrale de Lyon, Lyon, 69134, France", "street_adddress": "EC de Lyon, 36, Avenue Guy de Collongue, \u00c9cully, Lyon, M\u00e9tropole de Lyon, Circonscription d\u00e9partementale du Rh\u00f4ne, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 69134, France", "lat": "45.78336310", "lng": "4.76877036", "type": "edu", "country": "France"}, {"name": "Safran Identity and Security", "source_name": "Safran Identity & Security", "street_adddress": "11 Boulevard Gallieni, 92130 Issy-les-Moulineaux, France", "lat": "48.83249300", "lng": "2.26747400", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"name": "Universit\u00e9 Paris-Saclay, France", "source_name": "Samovar CNRS UMR 5157, T\u00e9l\u00e9com SudParis, Universit\u00e9 Paris-Saclay, Evry, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450", "http://doi.org/10.1109/ATSIP.2018.8364450"]}, {"id": "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "title": "Weakly supervised multiscale-inception learning for web-scale face recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296394", "http://doi.org/10.1109/ICIP.2017.8296394"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "1ca63ee80e1d8a94a0440c2d777f67bfde4c95cd", "title": "Compact Web Video Summarization Via Supervised Learning", "addresses": [{"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551530"]}, {"id": "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "title": "Improved Face Verification with Simple Weighted Feature Combination", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf"], "doi": []}, {"id": "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "title": "Identity Preserving Face Completion for Large Ocular Region Occlusion", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08772.pdf"], "doi": []}, {"id": "cf4e5206722ba16061982b885f8c7c86beacd27c", "title": "Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264990"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "title": "Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545887"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984060"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "title": "Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03990.pdf"], "doi": []}, {"id": "606ee88d9600b332ffae5cd7992a817f9aa996af", "title": "Learning Deep Representations with Probabilistic Knowledge Transfer", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10837.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "ae284bc18eb5e7ebe43d824b967287a5494ed17f", "title": "Human Identification Based on Deep Feature and Transfer Learning", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3289464"]}, {"id": "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "title": "Talking Face Generation by Adversarially Disentangled Audio-Visual Representation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07860.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "title": "Robust Face Recognition with Deep Multi-View Representation Learning", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984061"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "555f5ef266335af8189714297ccbcd6ab77d83f2", "title": "Marginalized CNN: Learning Deep Invariant Representations", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/555f/5ef266335af8189714297ccbcd6ab77d83f2.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "4b6662a1b123f2253b8f9bf0511ca57bfa9db951", "title": "Knot Magnify Loss for Face Recognition", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451838"]}, {"id": "bc8aee2f6b7d9d7b126d1e8dbcd33ea355aa3b37", "title": "SeqFace: Make full use of sequence information for face recognition", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"], "doi": []}]} \ No newline at end of file +{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "paper": {"key": "msceleb", "name": "MsCeleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248342", "http://doi.org/10.1109/ICSAI.2017.8248342"]}, {"id": "db35e0d084ac38dae8d80901bdfd5af6191f8a5e", "title": "Virtual Class Enhanced Discriminative Embedding Learning", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12611.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "4f10a7697fb2a2c626d1190db2afba83c4ffe856", "title": "Cartoon-to-Photo Facial Translation with Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f10/a7697fb2a2c626d1190db2afba83c4ffe856.pdf"], "doi": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "153fbae25efd061f9046970071d0cfe739a35a0e", "title": "FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545274"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "7c1e9eac39dfc98a54e4d3a80e5734cbfc33178b", "title": "Disentangled Variational Representation for Heterogeneous Face Recognition", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1809.01936.pdf"], "doi": []}, {"id": "98518fc368d7e1478cef40f5f8fd4468763645ad", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"name": "University of South China", "source_name": "University of South China, Hunan, China", "street_adddress": "China, Hunan Sheng, Hengyang Shi, Zhengxiang Qu, \u5e38\u80dc\u897f\u8def28\u53f7", "lat": "26.89887000", "lng": "112.59043500", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/cin/2018/4512473.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29849547", "https://doi.org/10.1155/2018%2F4512473", "https://www.wikidata.org/entity/Q55220544"]}, {"id": "7a131fafa7058fb75fdca32d0529bc7cb50429bd", "title": "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04086.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "title": "Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12026.pdf"], "doi": []}, {"id": "361eaef45fccfffd5b7df12fba902490a7d24a8d", "title": "Robust deep learning features for face recognition under mismatched conditions", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404319", "http://doi.org/10.1109/SIU.2018.8404319", "https://doi.org/10.1109/SIU.2018.8404319"]}, {"id": "e47f4a127f41c055fb7893ddc295932ead783c63", "title": "Adversarial Discriminative Heterogeneous Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03675.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "title": "To appear in ICB 2018 Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "26567da544239cc6628c5696b0b10539144cbd57", "title": "The GAN that Warped: Semantic Attribute Editing with Unpaired Data", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12784.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "title": "L2-constrained Softmax Loss for Discriminative Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09507.pdf"], "doi": []}, {"id": "3011b5fce49112228711a9e5f92d6f191687c1ea", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "addresses": [{"name": "University of Modena and Reggio", "source_name": "DIEF, University of Modena and Reggio, Modena, 41125, Italy", "street_adddress": "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "lat": "44.62918470", "lng": "10.94879780", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "1929863fff917ee7f6dc428fc1ce732777668eca", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "3a27d164e931c422d16481916a2fa6401b74bcef", "title": "Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03654.pdf"], "doi": []}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "title": "Pairwise Relational Networks for Face Recognition", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "addresses": [{"name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "source_name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f02f0f6fcd56a9b1407045de6634df15c60a85cd", "title": "Learning Low-shot facial representations via 2D warping", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05015.pdf"], "doi": []}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"], "doi": []}, {"id": "19fa871626df604639550c6445d2f76cd369dd13", "title": "DocFace: Matching ID Document Photos to Selfies", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02283.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"], "doi": []}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "1da8178bfca7c76cae53ec34364d86c7d5713fdd", "title": "Pairwise Relational Networks using Local Appearance Features for Face Recognition", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06405.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Research, Princeton, NJ", "source_name": "Siemens Corporate Research, Princeton, NJ", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "85d040c9886d6a966a96516e6c6df1e17060e384", "title": "Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector", "addresses": [{"name": "Graduate University of Advanced Studies", "source_name": "Graduate university of for Advanced Studies, Kanagawa, Japan", "street_adddress": "Shonankokusaimura, Hayama, Miura District, Kanagawa Prefecture 240-0193, Japan", "lat": "35.26109500", "lng": "139.60838900", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486579"]}, {"id": "f917cdd7f7330454e52205ebda6147aa9fdef9da", "title": "Perceptual Face Completion using a Local-Global Generative Adversarial Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545559"]}, {"id": "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "title": "Robust Distance Metric Learning via Bayesian Inference", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8186228", "http://doi.org/10.1109/TIP.2017.2782366", "https://www.ncbi.nlm.nih.gov/pubmed/29990222"]}, {"id": "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "title": "Faces as Lighting Probes via Unsupervised Deep Highlight Extraction", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06340.pdf"], "doi": []}, {"id": "46702e0127e16a4d6a1feda3ffc5f0f123957e87", "title": "Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06131.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "7fa4e972da46735971aad52413d17c4014c49e6e", "title": "How to Train Triplet Networks with 100K Identities?", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02940.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "0c65226edb466204189b5aec8f1033542e2c17aa", "title": "A study of CNN outside of training conditions", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296997", "http://doi.org/10.1109/ICIP.2017.8296997"]}, {"id": "fb3ff56ab12bd250caf8254eca30cd97984a949a", "title": "Face recognition Face2vec based on deep learning: Small database case", "addresses": [{"name": "Institute of Electronics and Computer Science, Riga, Latvia", "source_name": "Institute of Electronics and Computer Science, Riga, Latvia", "street_adddress": "Dz\u0113rbenes iela 14, Vidzemes priek\u0161pils\u0113ta, R\u012bga, LV-1006, Latvia", "lat": "56.97731900", "lng": "24.19439000", "type": "edu", "country": "Latvia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S0146411617010072"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "c053e59f0df43980ce7dd6d781f07df0f5b58a1f", "title": "Joint Pixel and Feature-level Domain Adaptation in the Wild", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00068.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "title": "Face-Voice Matching using Cross-modal Embeddings", "addresses": [{"name": "Hitachi, Ltd., Tokyo, Japan", "source_name": "Hitachi, Ltd., Tokyo, Japan", "street_adddress": "Japan, \u3012101-0021 Tokyo, Chiyoda, Sotokanda, 1 Chome\u221218\u2212\uff11\uff13 \u79cb\u8449\u539f\u30c0\u30a4\u30d3\u30eb", "lat": "35.69925030", "lng": "139.77215680", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240601"]}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1109/ICIP.2018.8451704"]}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "6f5309d8cc76d3d300b72745887addd2a2480ba8", "title": "KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3134425"]}, {"id": "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "title": "Feature Learning for One-Shot Face Recognition", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451464"]}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "c71217b2b111a51a31cf1107c71d250348d1ff68", "title": "One Network to Solve Them All \u2014 Solving Linear Inverse Problems Using Deep Projection Models", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09912.pdf"], "doi": []}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "addresses": [{"name": "La Rochelle University", "source_name": "L3i Laboratory, La Rochelle University, Rochelle, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "c71b0ed402437470f229b3fdabb88ad044c092ea", "title": "Dynamic Conditional Networks for Few-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c71b/0ed402437470f229b3fdabb88ad044c092ea.pdf"], "doi": []}, {"id": "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "title": "Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08107.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "addresses": [{"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"name": "University of Marburg", "source_name": "University of Marburg, Marburg, Germany", "street_adddress": "Biegenstra\u00dfe 10, 35037 Marburg, Germany", "lat": "50.81068590", "lng": "8.77416410", "type": "edu", "country": "Germany"}, {"name": "German National Library of Science and Technology, Hannover, Germany", "source_name": "German National Library of Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "source_name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "street_adddress": "C\u00e4sarstra\u00dfe 58, 50968 K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "company", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4962-9", "https://www.wikidata.org/entity/Q57757290"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "313d5eba97fe064bdc1f00b7587a4b3543ef712a", "title": "Compact Deep Aggregation for Set Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb7f/93467b0ec1afd43d995e511f5d7bf052a5af.pdf"], "doi": []}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "title": "FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01288.pdf"], "doi": []}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "title": "Coupled Deep Learning for Heterogeneous Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02450.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "title": "GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf"], "doi": []}, {"id": "3901f177642912be3fd132807a1e7d16796d1011", "title": "Selecting active frames for action recognition with vote fusion method", "addresses": [{"name": "Hanoi National University of Education", "source_name": "Hanoi National University of Education, Hanoi, Vietnam", "street_adddress": "S\u1ed1 136 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i 123106, Vietnam", "lat": "21.03741430", "lng": "105.78334730", "type": "edu", "country": "Vietnam"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Engineering and Technology, Vietnam", "source_name": "University of Engineering and Technology, Hanoi, Vietnam", "street_adddress": "144 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i, Vietnam", "lat": "21.03823750", "lng": "105.78270760", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539313"]}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "addresses": [{"name": "Shenzhen Institute of Wuhan University", "source_name": "Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China", "street_adddress": "6 Yuexing 3rd Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.52831570", "lng": "113.94481000", "type": "edu", "country": "China"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "title": "Deep Correlation Feature Learning for Face Verification in the Wild", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976346", "http://doi.org/10.1109/LSP.2017.2726105"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "addresses": [{"name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "source_name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "CASIA, National Laboratory of Pattern Recognition", "source_name": "CASIA, National Laboratory of Pattern Recognition", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "dec0c26855da90876c405e9fd42830c3051c2f5f", "title": "Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "addresses": [{"name": "Ecole Centrale de Lyon", "source_name": "Ecole Centrale de Lyon, Lyon, 69134, France", "street_adddress": "EC de Lyon, 36, Avenue Guy de Collongue, \u00c9cully, Lyon, M\u00e9tropole de Lyon, Circonscription d\u00e9partementale du Rh\u00f4ne, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 69134, France", "lat": "45.78336310", "lng": "4.76877036", "type": "edu", "country": "France"}, {"name": "Safran Identity and Security", "source_name": "Safran Identity & Security", "street_adddress": "11 Boulevard Gallieni, 92130 Issy-les-Moulineaux, France", "lat": "48.83249300", "lng": "2.26747400", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"name": "Universit\u00e9 Paris-Saclay, France", "source_name": "Samovar CNRS UMR 5157, T\u00e9l\u00e9com SudParis, Universit\u00e9 Paris-Saclay, Evry, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450", "http://doi.org/10.1109/ATSIP.2018.8364450"]}, {"id": "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "title": "Weakly supervised multiscale-inception learning for web-scale face recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296394", "http://doi.org/10.1109/ICIP.2017.8296394"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "1ca63ee80e1d8a94a0440c2d777f67bfde4c95cd", "title": "Compact Web Video Summarization Via Supervised Learning", "addresses": [{"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551530"]}, {"id": "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "title": "Improved Face Verification with Simple Weighted Feature Combination", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf"], "doi": []}, {"id": "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "title": "Identity Preserving Face Completion for Large Ocular Region Occlusion", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08772.pdf"], "doi": []}, {"id": "cf4e5206722ba16061982b885f8c7c86beacd27c", "title": "Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264990"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "title": "Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545887"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984060"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "title": "Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03990.pdf"], "doi": []}, {"id": "606ee88d9600b332ffae5cd7992a817f9aa996af", "title": "Learning Deep Representations with Probabilistic Knowledge Transfer", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10837.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "ae284bc18eb5e7ebe43d824b967287a5494ed17f", "title": "Human Identification Based on Deep Feature and Transfer Learning", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3289464"]}, {"id": "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "title": "Talking Face Generation by Adversarially Disentangled Audio-Visual Representation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07860.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "title": "Robust Face Recognition with Deep Multi-View Representation Learning", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984061"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "555f5ef266335af8189714297ccbcd6ab77d83f2", "title": "Marginalized CNN: Learning Deep Invariant Representations", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/555f/5ef266335af8189714297ccbcd6ab77d83f2.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "d0818dac77eee5b970736e57a478bcedfb1b15fe", "title": "KVQA : Knowledge-aware Visual Question Answering", "addresses": [{"name": "IIIT Hyderabad, India", "source_name": "IIIT Hyderabad, India", "street_adddress": "DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44523580", "lng": "78.34927650", "type": "edu", "country": "India"}, {"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d081/8dac77eee5b970736e57a478bcedfb1b15fe.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "f3add06155e270229a39da74fea57e1b60e17eb8", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "2dcf8e993873514b6a9673d56474904fa7e54664", "title": "Probabilistic Face Embeddings", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "4b6662a1b123f2253b8f9bf0511ca57bfa9db951", "title": "Knot Magnify Loss for Face Recognition", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451838"]}, {"id": "bc8aee2f6b7d9d7b126d1e8dbcd33ea355aa3b37", "title": "SeqFace: Make full use of sequence information for face recognition", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"], "doi": []}, {"id": "c43d3ad956118ea1d26d39903097e2db86eae822", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/oxford_town_centre.json b/site/datasets/citations/oxford_town_centre.json index 248c4b18..7d8984e7 100644 --- a/site/datasets/citations/oxford_town_centre.json +++ b/site/datasets/citations/oxford_town_centre.json @@ -1 +1 @@ -{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "paper": {"key": "oxford_town_centre", "name": "TownCentre", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}]}, "citations": [{"id": "fc685ef21c4b2db0304b830f6a20e31eb0ec0737", "title": "Visualizing and Analyzing Video Content With Interactive Scalable Maps", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of Computer Science", "source_name": "Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579162", "http://doi.org/10.1109/TMM.2016.2614229"]}, {"id": "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "title": "Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03968.pdf"], "doi": []}, {"id": "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "title": "Learning scene-specific pedestrian detectors without real data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sony", "source_name": "Sony Electronics Inc., San Jose, CA, USA", "street_adddress": "1730 N 1st St, San Jose, CA 95112, USA", "lat": "37.36759050", "lng": "-121.91334910", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015-sup.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015.pdf", "http://www.cs.cmu.edu/~kkitani/pdf/HBKK-CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299006", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299006", "http://doi.org/10.1109/CVPR.2015.7299006"]}, {"id": "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "title": "Improvement in object detection using Super Pixels", "addresses": [{"name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "source_name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "street_adddress": "MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India", "lat": "13.03046190", "lng": "77.56468620", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf"], "doi": []}, {"id": "14effecdf4e99a6ef3bb590582ca07e642d49632", "title": "Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3290/55356252ec95df17699487632b7607572ad6.pdf"], "doi": []}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "e23b3779547682b3e1f5a9108ed1afddc97af679", "title": "Silhouette labeling and tracking in calibrated omnidirectional video sequences", "addresses": [{"name": "University of Piraeus", "source_name": "University of Piraeus", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, 80, \u039a\u03b1\u03c1\u03b1\u03bf\u03bb\u03ae \u03ba\u03b1\u03b9 \u0394\u03b7\u03bc\u03b7\u03c4\u03c1\u03af\u03bf\u03c5, \u0391\u03c0\u03cc\u03bb\u03bb\u03c9\u03bd\u03b1\u03c2, \u039d\u03ad\u03bf \u03a6\u03ac\u03bb\u03b7\u03c1\u03bf, \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ac\u03c2, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 185 34, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.94173275", "lng": "23.65303262", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910726"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52", "title": "Continuous tracking in Free Space Optical balloon mesh networks", "addresses": [{"name": "University of Arkansas at Little Rock", "source_name": "University of Arkansas at Little Rock", "street_adddress": "University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA", "lat": "34.72236805", "lng": "-92.33830255", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550317"]}, {"id": "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "title": "A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf"], "doi": []}, {"id": "da9d71087025ca20fe0259b9aabf803e9d556160", "title": "Motion priors based on goals hierarchies in pedestrian tracking applications", "addresses": [{"name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Mexico", "source_name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas (CIMAT A.C.), Guanajuato, Mexico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0832-8"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "6ff6f356244a647ff2a6d9dc27343d3e22840571", "title": "Branch and bound global optima search for tracking a single object in a network of non-overlapping cameras", "addresses": [{"name": "AIT Austrian Institute of Technology, Vienna, Austria", "source_name": "AIT Austrian Institute of Technology, Vienna, Austria", "street_adddress": "Giefinggasse 2, 1210 Wien, Austria", "lat": "48.26830140", "lng": "16.42724830", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Branislav_Micusik/publication/221430103_Branch_and_bound_global_optima_search_for_tracking_a_single_object_in_a_network_of_non-overlapping_cameras/links/0046353b4f60673258000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130470", "http://doi.org/10.1109/ICCVW.2011.6130470"]}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "6947ecf688956184bd7371b3689fb9494139320c", "title": "PETS 2015: Datasets and challenge", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46540/1/2015_AVSS_PETS2015Datasets_Li_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301741", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301741", "http://doi.org/10.1109/AVSS.2015.7301741"]}, {"id": "3e03435792619833d4e2aa14344761b003c10c67", "title": "A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3e03/435792619833d4e2aa14344761b003c10c67.pdf"], "doi": []}, {"id": "290eda31bc13cbd5933acec8b6a25b3e3761c788", "title": "Multiple object tracking with context awareness", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7935.pdf"], "doi": []}, {"id": "4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7", "title": "Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744579", "http://doi.org/10.1109/TCSVT.2016.2629340"]}, {"id": "1f527b5406356018e6dc401a4be8098a5a451891", "title": "Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Jacobs University", "source_name": "Jacobs University", "street_adddress": "Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK", "lat": "53.41291480", "lng": "-2.96897915", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f52/7b5406356018e6dc401a4be8098a5a451891.pdf"], "doi": []}, {"id": "057517452369751bd63d83902ea91558d58161da", "title": "Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382753", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.31", "http://doi.org/10.1109/SIBGRAPI.2012.31"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "6aaa77e241fe55ae0c4ad281e27886ea778f9e23", "title": "F-Formation Detection: Individuating Free-Standing Conversational Groups in Images", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.2702.pdf"], "doi": []}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "title": "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02000.pdf"], "doi": []}, {"id": "e57ce6244ec696ff9aa42d6af7f09eed176153a8", "title": "Instantaneous real-time head pose at a distance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351449", "http://doi.org/10.1109/ICIP.2015.7351449"]}, {"id": "d67d9abc9c9f9e84ab3647d21db70ca98117f709", "title": "Moving people tracking with detection by latent semantic analysis for visual surveillance applications", "addresses": [{"name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "source_name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "street_adddress": "Morena Link Rd, IIITM Campus, Gwalior, Madhya Pradesh 474015, India", "lat": "26.24945320", "lng": "78.17398330", "type": "edu", "country": "India"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-012-1110-4"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "title": "Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf"], "doi": []}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "83d956ed39127058e02395924f96b68e2f8289e0", "title": "Efficient video multicast in wireless surveillance networks for intelligent building", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.cs.cityu.edu.hk/news/seminars/sem2015-2016_no38.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7475084"]}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "title": "Forecasting Interactive Dynamics of Pedestrians with Fictitious Play", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01431.pdf"], "doi": []}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "title": "MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.09100.pdf"], "doi": []}, {"id": "626c71140a93afbb2234642f2634ebf635949263", "title": "Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "Ilha do Fund\u00e3o, S/N - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21945-970, Brazil", "lat": "-22.86176210", "lng": "-43.22838750", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885730"]}, {"id": "ba004e5789bdc565734727ce22820dca77d6407c", "title": "Video target tracking based on fusion state estimation", "addresses": [{"name": "The University of Auckland", "source_name": "Embedded Systems Research Group, The University of Auckland, Auckland, New Zealand", "street_adddress": "UniServices House, Level, 6/70 Symonds St, Grafton, Auckland 1010, New Zealand", "lat": "-36.85604780", "lng": "174.76640670", "type": "edu", "country": "New Zealand"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936530"]}, {"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2b9410889dc6870cc6e0476dbc681049b28ccacb", "title": "Learning to Detect Carried Objects with Minimal Supervision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf", "http://www.cs.umd.edu/~rdondera/cod.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Dondera_Learning_to_Detect_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~morariu/publications/DonderaCarriedObjectSISM13.pdf", "https://drum.lib.umd.edu/bitstream/handle/1903/13339/CS-TR-5018.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595958", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.114", "http://doi.org/10.1109/CVPRW.2013.114"]}, {"id": "bf5214de5a1460e01eccffb74c60a57b43cf099e", "title": "Supporting animal welfare with automatic tracking of giraffes with thermal cameras", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3156142"]}, {"id": "c11f05de35310725d83a4ac9a393f06168acc967", "title": "Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration", "addresses": [{"name": "Glasgow Caledonian University", "source_name": "Glasgow Caledonian University, Glasgow, United Kingdom", "street_adddress": "Cowcaddens Rd, Glasgow G4 0BA, UK", "lat": "55.86681830", "lng": "-4.24996020", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://researchonline.gcu.ac.uk/portal/files/24542977/IEEETransCybernetics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7778232", "http://doi.org/10.1109/TCYB.2016.2631660", "https://www.ncbi.nlm.nih.gov/pubmed/27959835", "https://www.wikidata.org/entity/Q48584156"]}, {"id": "e1678add566a002e1fe5536d8607888549e36ff8", "title": "Object detection and tracking in night time video surveillance", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677410", "http://doi.org/10.1109/URAI.2013.6677410"]}, {"id": "4e82908e6482d973c280deb79c254631a60f1631", "title": "Improving Efficiency and Scalability in Visual Surveillance Applications", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf"], "doi": []}, {"id": "137239cd29634465f35ce261718efece57cfc617", "title": "Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1372/39cd29634465f35ce261718efece57cfc617.pdf"], "doi": []}, {"id": "4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7", "title": "Long-term tracking of multiple interacting pedestrians using a single camera by Advice", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4d60/43a25bf48c6fd6aff6a46597fe1902a9c6a7.pdf"], "doi": []}, {"id": "1627a0c46c29e020268f9225c9042bd6cedd83b5", "title": "Multiple human detection and tracking based on head detection for real-time video surveillance", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-014-2177-x"]}, {"id": "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "title": "Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf"], "doi": []}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "b02581323ad03125e9b18d74ba0c1909d6485dda", "title": "Contextual anomaly detection in crowded surveillance scenes", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441/Context_Aware_Anomaly_Detection_3rdRevision.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2013.11.018", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441"]}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "508ce149508610edd93a17561a460f2199c8609e", "title": "Tracking performance evaluation on PETS 2015 Challenge datasets", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46541/1/2015_AVSS_PETS2015TrackingChallenge_Nawaz_Boyle_Li_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301743", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301743", "http://doi.org/10.1109/AVSS.2015.7301743"]}, {"id": "61a768171bcaf5d0b5359af551d9732015bc4036", "title": "Getting through: modality selection in a multi-sensor-actuator industrial IoT environment", "addresses": [{"name": "Johannes Kepler University, Linz, Austria", "source_name": "JKU, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131561"]}, {"id": "920246280e7e70900762ddfa7c41a79ec4517350", "title": "(MP) 2 T: multiple people multiple parts tracker", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf", "http://homes.cs.washington.edu/~izadinia/files/MPMPT-ECCV12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_8"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "d8bb184afa8e68c569592471d83fdcd9120fe5c6", "title": "Double layer salient parts based multi-people tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351367", "http://doi.org/10.1109/ICIP.2015.7351367"]}, {"id": "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "title": "Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07544.pdf"], "doi": []}, {"id": "72dc0c1e033be838582ef8da6ae3d51b6375cebb", "title": "Multiple human tracking system for unpredictable trajectories", "addresses": [{"name": "University of A Coru\u00f1a", "source_name": "VARPA Group, University of A Coru\u00f1a, A Coru\u00f1a, Spain", "street_adddress": "A Coru\u00f1a, Spain", "lat": "43.36234360", "lng": "-8.41154010", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://www.researchgate.net/profile/Brais_Cancela/publication/260524496_Multiple_human_tracking_system_for_unpredictable_trajectories/links/53d667650cf220632f3d9f50.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0544-7"]}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "0348ff27225e45578c39f000e86bd96aef060c97", "title": "A multistage filtering for detecting group in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846671"]}, {"id": "2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7", "title": "Fast Support Vector Classifier for automated content-based search in video surveillance", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": ["http://alpha.imag.pub.ro/~imironica/publications/CMitrea_ISSCS_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7203953"]}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "85136f57350f29ff299dd13b28885666ae305e57", "title": "Improving object visual tracking performance by scene occluder estimation for video surveillance", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832117"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "084352b63e98d3b3310521fb3bda8cb4a77a0254", "title": "Part-based multiple-person tracking with partial occlusion handling", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Nevada", "source_name": "University of Nevada", "street_adddress": "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "lat": "39.54694490", "lng": "-119.81346566", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/papers/1439.pdf", "http://vision.eecs.ucf.edu/papers/cvpr2012/1439.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247879", "http://doi.org/10.1109/CVPR.2012.6247879"]}, {"id": "30492d91c8ac2e476a25bf7ddf445be00b3d2fe3", "title": "CrowdProbe: Non-invasive Crowd Monitoring with Wi-Fi Probe", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264925"]}, {"id": "961561a96e82d1fb596f030cc1d4aace1bd85a32", "title": "Tracklet Reidentification in Crowded Scenes Using Bag of Spatio-temporal Histograms of Oriented Gradients", "addresses": [{"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://rd.springer.com/content/pdf/10.1007/978-3-642-38989-4_10.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-38989-4_10"]}, {"id": "b787113305ddef424def20920b8b098c7f18bd98", "title": "Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b787/113305ddef424def20920b8b098c7f18bd98.pdf"], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "5b36d1d7279d0db75f52f4934b123a3757bf8092", "title": "Real-time moving objects tracking for mobile-robots using motion information", "addresses": [{"name": "University of Paderborn", "source_name": "GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany", "street_adddress": "L\u00fcthenweg 35, 33106 Paderborn, Germany", "lat": "51.68792000", "lng": "8.68585000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7017674", "http://doi.org/10.1109/SSRR.2014.7017674"]}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612", "title": "Translation-Based KLT Tracker Under Severe Camera Rotation Using GPS/INS Data", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477082", "http://doi.org/10.1109/LGRS.2013.2245858"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10", "title": "TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0852-4"]}, {"id": "43fe6e4c3163435fd829d3c1c41ba17de4e13559", "title": "ReGLe: Spatially Regularized Graph Learning for Visual Tracking", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123288"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "title": "Solving Multiple People Tracking in a Minimum Cost Arborescence", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046817", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.7", "http://doi.org/10.1109/WACVW.2015.7"]}, {"id": "70be5432677c0fbe000ac0c28dda351a950e0536", "title": "Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910023", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.75", "http://doi.org/10.1109/CVPRW.2014.75"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "13a3952eea0445fc4a1825be10acbd3a189355e3", "title": "Coarse-to-fine approach for fast correlation-based visual tracking", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792989", "http://doi.org/10.1109/IECON.2016.7792989"]}, {"id": "a936a60766cbccb27217c3ccfedaa16d4c7b517b", "title": "Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539557", "http://doi.org/10.1109/TITS.2016.2569159"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "679136c2844eeddca34e98e483aca1ff6ef5e902", "title": "Scene-Specific Pedestrian Detection Based on Parallel Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08745.pdf"], "doi": []}, {"id": "4624cbd2395e46159127e285ceaf45b9ab903e17", "title": "A Novel Fuzzy Data Association Approach for Visual Multi-object Tracking", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05004.pdf"], "doi": ["https://doi.org/10.1051/itmconf%2F20171205004"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "addresses": [{"name": "NICTA, Canberra", "source_name": "NICTA, Canberra", "street_adddress": "Canberra ACT 2601, Australia", "lat": "-35.28093680", "lng": "149.13000920", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "8cc56d82787069ca91ac6bb8133e15da6dfe564c", "title": "Multiple person tracking based on slow feature analysis", "addresses": [{"name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "source_name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "street_adddress": "Tianjin, China", "lat": "39.34335740", "lng": "117.36164760", "type": "edu", "country": "China"}, {"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5218-4"]}, {"id": "6624a89894990a9f5edb06feb9e4d5ce6147459f", "title": "Kriging-based prediction and interpolation for modeling pedestrian dynamics", "addresses": [{"name": "Chiba University", "source_name": "Institute of Management and Information Technologies, Chiba University, Chiba, Japan", "street_adddress": "Japan, \u3012263-8522 Chiba Prefecture, \u5343\u8449\u5e02\u7a32\u6bdb\u533a\u5f25\u751f\u753a\uff11\u2212\uff13\uff13", "lat": "35.62773740", "lng": "140.10336820", "type": "edu", "country": "Japan"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023264", "http://doi.org/10.1109/IFSA-SCIS.2017.8023264"]}, {"id": "422d352a7d26fef692a3cd24466bfb5b4526efea", "title": "Pedestrian interaction in tracking : the social force model and global optimization methods", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf"], "doi": []}, {"id": "fa62bb5355ee5447ec651f56b9e06645eb2f56f0", "title": "Co-design system for template matching using dedicated co-processor and modified elephant herding optimization", "addresses": [{"name": "State University of Rio de Janeiro", "source_name": "State University of Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8399903", "http://doi.org/10.1109/LASCAS.2018.8399903"]}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f", "title": "Multi-target Tracking by Rank-1 Tensor Approximation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c387.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "http://www.dabi.temple.edu/~hbling/publication/tensor-mda-7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619153", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.309", "http://doi.org/10.1109/CVPR.2013.309"]}, {"id": "0382a1301094c6ba60b18ffa8d12da6ca0863339", "title": "Online Learned Discriminative Part-Based Appearance Models for Multi-human Tracking", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0382/a1301094c6ba60b18ffa8d12da6ca0863339.pdf"], "doi": []}, {"id": "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "title": "Online Multi-person Tracking by Tracker Hierarchy", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "http://www.cs.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328007", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.51", "http://doi.org/10.1109/AVSS.2012.51"]}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "de0c4459c46c5efbad02cd9a1f4687a12883c5d7", "title": "Asmar Hasanova Pedestrian Detection and Tracking in Urban Context Using a Mono-Camera", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/de0c/4459c46c5efbad02cd9a1f4687a12883c5d7.pdf"], "doi": []}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "bbb44958216281607c282427f3001f7bc36e2385", "title": "Motion instability based unsupervised online abnormal behaviors detection", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2664-8"]}, {"id": "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "title": "Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037515.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.216", "http://doi.org/10.1109/CVPR.2013.216"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "b1bccc71e48ec4a114cef69a492b2e5b3d1f123b", "title": "Visual 3D tracking of child-adult social interactions", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "source_name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "street_adddress": "21 Bloomingdale Rd, White Plains, NY 10605, USA", "lat": "41.02473090", "lng": "-73.75380000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329835", "http://doi.org/10.1109/DEVLRN.2017.8329835"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "7c132e0a2b7e13c78784287af38ad74378da31e5", "title": "Salient Parts based Multi-people Tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf"], "doi": []}, {"id": "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "title": "Training a convolutional neural network for multi-class object detection using solely virtual world data", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738056", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056", "http://doi.org/10.1109/AVSS.2016.7738056"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "title": "Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.05234.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b", "title": "Assessing tracking assessment measures", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://fabio-poiesi.com/files/presentations/poster_icip_2014.pdf", "http://www.eecs.qmul.ac.uk/~andrea/papers/2014_ICIP_MeasuresAssessment_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025088", "http://doi.org/10.1109/ICIP.2014.7025088"]}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "dba7757ea7a390ec0509834a5f457c6f28ae6b76", "title": "A general line tracking algorithm based on computer vision", "addresses": [{"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7531957"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "1874db58583e6e5aeb98f2329d9e1ba44b8f6022", "title": "OPTIMUS:online persistent tracking and identification of many users for smart spaces", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-014-0607-4"]}, {"id": "d7f11ebb73bfe74a57c33f7e75f7981ad9385580", "title": "Real-Time Resource Allocation for Tracking Systems", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4143/440cfded29a9747e42ac1c9ffe926e3164fa.pdf"], "doi": []}, {"id": "975c04f3193615ea7559cca019176e56ce60d052", "title": "Object Detection utilizing Modified Auto Encoder and Convolutional Neural Networks", "addresses": [{"name": "University of Tabriz", "source_name": "University of Tabriz", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u062a\u0628\u0631\u06cc\u0632, \u0634\u0647\u06cc\u062f \u0627\u06cc\u0631\u062c \u062e\u0644\u0648\u062a\u06cc, \u06a9\u0648\u06cc \u0627\u0646\u0642\u0644\u0627\u0628, \u062a\u0628\u0631\u06cc\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0628\u0631\u06cc\u0632, \u0627\u0633\u062a\u0627\u0646 \u0622\u0630\u0631\u0628\u0627\u06cc\u062c\u0627\u0646 \u0634\u0631\u0642\u06cc, 5166616471, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "38.06125530", "lng": "46.32984840", "type": "edu", "country": "Iran"}, {"name": "University of Isfahan", "source_name": "Faculty of Computer Engineering, University of Isfahan, Iran", "street_adddress": "Khomeyni Shahr, Isfahan Province, Iran", "lat": "32.71773310", "lng": "51.52587900", "type": "edu", "country": "Iran"}, {"name": "Universiti Putra Malaysia", "source_name": "Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia", "street_adddress": "Faculty of Computer Science and Information Technology, University Putra Malaysia, Persiaran Universiti 1, Selangor, 43400 Serdang, Malaysia", "lat": "2.99962350", "lng": "101.71034070", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563423"]}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "addresses": [{"name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "source_name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "1883387726897d94b663cc4de4df88e5c31df285", "title": "Measures of Effective Video Tracking", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655935", "http://doi.org/10.1109/TIP.2013.2288578", "https://www.ncbi.nlm.nih.gov/pubmed/24235302", "https://www.wikidata.org/entity/Q48704231"]}, {"id": "846652200134bd02c65c502a4e587a11592479a4", "title": "Survey on Vision-based Path Prediction", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00233.pdf"], "doi": []}, {"id": "9cd7487e0eed11dabc94dd867178204c53eb2270", "title": "Self-Organizing Traffic Lights : A Pedestrian Oriented Approach", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9cd7/487e0eed11dabc94dd867178204c53eb2270.pdf"], "doi": []}, {"id": "cc76729795069f24d66e8c29f1e08b50f8980a53", "title": "Co-design system for template matching using dedicated co-processor and particle swarm optimization", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7948053", "http://doi.org/10.1109/LASCAS.2017.7948053"]}, {"id": "06abf34ed52cefe1181451700346f870c2adb0b5", "title": "Object tracking by supported particles", "addresses": [{"name": "Chonnam National University University", "source_name": "Chonnam National University University, Gwangju, Korea, Gwangju, Korea", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057484", "http://doi.org/10.1109/URAI.2014.7057484"]}, {"id": "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "title": "User interest profiling using tracking-free coarse gaze estimation", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze, Firenze", "source_name": "Università degli Studi di Firenze, Firenze", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf", "https://www.micc.unifi.it/wp-content/uploads/2016/12/ICPR_2016_GAZE.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899904", "http://doi.org/10.1109/ICPR.2016.7899904"]}, {"id": "0f8b4a64eea40c1f0aa655d4e77e46543ff558b7", "title": "Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://astro.temple.edu/~tuc33610/Public/Publications/CVPR2014/Curvilinear_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_Curvilinear_Structure_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909787", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.391", "http://doi.org/10.1109/CVPR.2014.391"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "608305c25aae19dd346153dadedac851f0b7f9ff", "title": "A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/6083/05c25aae19dd346153dadedac851f0b7f9ff.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "4d38a43865e0bcc87dc6ad83331539429e00543c", "title": "Road lane reconstruction using vision \u2014 based macro block spatial predictions", "addresses": [{"name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "source_name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "street_adddress": "Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56550430", "lng": "120.99323340", "type": "edu", "country": "Philippines"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227968", "http://doi.org/10.1109/tencon.2017.8227968"]}, {"id": "6986658717d6430be30acea59a1296125062d5a4", "title": "Cross-camera multi-person tracking by leveraging fast graph mining algorithm", "addresses": [{"name": "Information & Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "source_name": "Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "street_adddress": "China, Zhejiang, Hangzhou, Xihu, Wen'er Rd, 328\u53f7\u5bcc\u4e3d\u79d1\u6280\u5927\u53a6A\u5ea71468", "lat": "30.28271810", "lng": "120.12457080", "type": "company", "country": "China"}, {"name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "source_name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "street_adddress": "Xiamen, Fujian, China", "lat": "24.47983300", "lng": "118.08942500", "type": "company", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5403-5"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "addresses": [{"name": "Changzhou University", "source_name": "Changzhou University, Changzhou, China", "street_adddress": "1 Gehu Middle Rd, Wujin Qu, Changzhou Shi, Jiangsu Sheng, China", "lat": "31.68423700", "lng": "119.95514100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "title": "Exploiting pedestrian interaction via global optimization and social behaviors", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf", "http://www.tnt.uni-hannover.de/papers/data/924/LeaPonRos11SocialLP.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/134/LeaPonRos11SocialLP.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-34091-8_1"]}, {"id": "03ce07616628ac7c7dac92ea714313b674217811", "title": "Deep Learning of Scene-Specific Classifier for Pedestrian Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910472.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zengOWeccv14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10578-9_31"]}, {"id": "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "title": "A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter", "addresses": [{"name": "Ben-Gurion University", "source_name": "Ben-Gurion University, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Orbotech Ltd., Yavne, Israel", "source_name": "Orbotech Ltd., Yavne, Israel", "street_adddress": "HaSanhedrin Blvd 1, Yavne, Israel", "lat": "31.88787670", "lng": "34.73598850", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf", "https://www.cs.bgu.ac.il/~ben-shahar/Publications/2016-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker.pdf", "https://www.cs.bgu.ac.il/~rba/R_Ben-Ari_JRTIP2013.pdf"], "doi": ["http://doi.org/10.1007/s11554-013-0329-2"]}, {"id": "9070045c1a9564a5f25b42f3facc7edf4c302483", "title": "Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf", "http://vision.eecs.ucf.edu/ICCVWorkshop/papers/MSVLC2011_Paper2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130233", "http://doi.org/10.1109/ICCVW.2011.6130233"]}, {"id": "1110f86433302fd6c4cc92e2ac1ddf80b917b25c", "title": "An approach to monitor river catchment with PAL SAR satellite data", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036639"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "076fd6fd85b93858155a1c775f1897f83d52b4c2", "title": "Improving an Object Detector and Extracting Regions Using Superpixels", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d721.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619321", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.477", "http://doi.org/10.1109/CVPR.2013.477"]}, {"id": "60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad", "title": "People-flow counting in complex environments by combining depth and color information", "addresses": [{"name": "Chongqing University of Posts and Telecommunications", "source_name": "Chongqing University of Posts and Telecommunications", "street_adddress": "\u91cd\u5e86\u90ae\u7535\u5927\u5b66, \u5d07\u6587\u8def, \u6e1d\u4e2d\u533a, \u9ec4\u6877\u57ad, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400065, \u4e2d\u56fd", "lat": "29.53570460", "lng": "106.60482474", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3344-z"]}, {"id": "7996a71a86693a721e45ff9482d286a310ada3ad", "title": "Multi-PN-learning for tracking applications", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064407", "http://doi.org/10.1109/ICARCV.2014.7064407"]}, {"id": "6cfa1ecd9b534c08cb4556f5d45fc9843c6d9425", "title": "Multiple Objects Detection using HSV", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8556711"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "f3d0d2f66ab04d9b8d6a590b339cd692b22174df", "title": "Tracking in multimedia data via robust reweighted local multi-task sparse representation for transportation surveillance", "addresses": [{"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3464-5"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae", "title": "Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "University of Sousse", "source_name": "UR: SAGE-ENISo, University of Sousse, Tunisia", "street_adddress": "P\u00f4le technologique de Sousse, Route de Ceinture Sahloul\u060c 4054, Tunisia", "lat": "35.82039000", "lng": "10.59309030", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2974040"]}, {"id": "3434ba5677e5c98e82ee17a1f2d0ddef66d0b009", "title": "Interactive tracking and action retrieval to support human behavior analysis", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3434/ba5677e5c98e82ee17a1f2d0ddef66d0b009.pdf"], "doi": []}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb", "title": "Calibration of multi-camera systems", "addresses": [{"name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "source_name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "street_adddress": "Maestro M. Lopez esq. Cruz Roja, C\u00f3rdoba, Argentina", "lat": "-31.44225000", "lng": "-64.19316580", "type": "edu", "country": "Argentina"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7497094"]}, {"id": "bd75a21797c8fbed8e9a8f293163e4d4c94149fc", "title": "Online multi-object tracking based on hierarchical association and sparse representation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296362", "http://doi.org/10.1109/ICIP.2017.8296362"]}, {"id": "2feb7c57d51df998aafa6f3017662263a91625b4", "title": "Feature Selection for Intelligent Transportation Systems", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "71d4924367ba5d31d87bf1ac724db3f285b345c1", "title": "Recovering background regions in videos of cluttered urban scenes", "addresses": [{"name": "Thales UK, Glasgow", "source_name": "Thales UK, Glasgow", "street_adddress": "1 Linthouse Rd, Glasgow G51 4BZ, UK", "lat": "55.86648580", "lng": "-4.33582740", "type": "company", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351576", "http://doi.org/10.1109/ICIP.2015.7351576"]}, {"id": "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "title": "Multiple-Person Tracking by Detection", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf"], "doi": []}, {"id": "b8af24279c58a718091817236f878c805a7843e1", "title": "Context Aware Anomalous Behaviour Detection in Crowded Surveillance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf"], "doi": []}, {"id": "d29895fca6ae688514850856208c2b88f01ea3e0", "title": "Multi-Target Video Tracking Based on Improved Data Association and Mixed Kalman/ $H_{\\infty }$ Filtering", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555348"]}, {"id": "e5bc872565ef74c3929a4bfb2f785570d546e983", "title": "Video Compression for Object Detection Algorithms", "addresses": [{"name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "source_name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546064"]}, {"id": "ad467baa4f59d18ed998757bcba3df3c2a753df8", "title": "Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1402.2826.pdf"], "doi": []}, {"id": "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "title": "Tracklet association based multi-target tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3238-5"]}, {"id": "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "title": "GPU Accelerated ACF Detector", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf"], "doi": []}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "0a5718f6a60ca18e6b6de5660c49040ac0045d7a", "title": "Automatic classification of the Parkinson \u2019 s patient stiffness from a single videosequence", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0a57/18f6a60ca18e6b6de5660c49040ac0045d7a.pdf"], "doi": []}, {"id": "b45bb3876a7f980490e0b78ed70064d276b13761", "title": "Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes", "addresses": [{"name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "source_name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139258", "http://doi.org/10.1109/ICRA.2015.7139258"]}, {"id": "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "title": "Pattern Recognition", "addresses": [{"name": "University of Erlangen-N\u00fcrnberg", "source_name": "University of Erlangen-N\u00fcrnberg, Erlangen, Germany", "street_adddress": "Schlo\u00dfplatz 4, 91054 Erlangen, Germany", "lat": "49.59788040", "lng": "11.00455070", "type": "edu", "country": "Germany"}, {"name": "University of Kiel", "source_name": "University of Kiel, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "Germany"}, {"name": "University of M\u00fcnster", "source_name": "University of M\u00fcnster, M\u00fcnster, Germany", "street_adddress": "Schlossplatz 2, 48149 M\u00fcnster, Germany", "lat": "51.96357050", "lng": "7.61318260", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://www.fil.ion.ucl.ac.uk/~john/misc/ISBI2015/ISBI_I.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-11752-2"]}, {"id": "0749deedd6dce98b48475f335e2c322b16fcb202", "title": "Hybrid 3D\u20132D human tracking in a top view", "addresses": [{"name": "IBISC laboratory, Evry, France", "source_name": "IBISC laboratory, Evry, France", "street_adddress": "43 Rue du Pelvoux, 91080 Courcouronnes, France", "lat": "48.61325350", "lng": "2.42853710", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-014-0429-7"]}, {"id": "2a7935706d43c01789d43a81a1d391418f220a0a", "title": "Enhancing Linear Programming with Motion Modeling for Multi-target Tracking", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/31960902/285.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045871", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.17", "http://doi.org/10.1109/WACV.2015.17"]}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}, {"id": "9b93626cc87411964712d05905c2dd0a1247d16d", "title": "Multiple instance-based object retrieval in video surveillance: Dataset and evaluation", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936970"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "8cf679ef0ea28557acb86546e4b1b1a617d1c698", "title": "Long Term Multi-Target Tracking based on Detection and Data Association", "addresses": [{"name": "University of Suwon", "source_name": "the University of Suwon, Korea", "street_adddress": "17 Wauan-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do, South Korea", "lat": "37.20899690", "lng": "126.97639770", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8cf6/79ef0ea28557acb86546e4b1b1a617d1c698.pdf"], "doi": []}, {"id": "4643da1a650d34aca300f3222d07fc9c1e622891", "title": "Persistent people tracking and face capture using a PTZ camera", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0758-6", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778246"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54", "title": "A video cloud platform combing online and offline cloud computing technologies", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-015-0879-3"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "addresses": [{"name": "Universit\u00e0 degli Studi di Cagliari, Italy", "source_name": "Universit\u00e0 degli Studi di Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "07f47b063577afc98c6717d6bb046fe72aa75b12", "title": "Online multiperson tracking with occlusion reasoning and unsupervised track motion model", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636613"]}, {"id": "184c3e66a746376716d5e816d95e1a7cb8e04390", "title": "Unsupervised learning of a scene-specific coarse gaze estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "https://media.adelaide.edu.au/acvt/Publications/2011/2011-Unsupervised%20Learning%20of%20a%20Scene-Specific%20Coarse%20Gaze%20Estimator.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126516", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126516", "http://doi.org/10.1109/ICCV.2011.6126516"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "b28eb219db9370cf20063288225cc2f3e6e5f984", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410584", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.227", "http://doi.org/10.1109/ICCV.2015.227"]}, {"id": "f34bc8a28f71be31371b1af0ddc3d1227e33281f", "title": "Robust tracking algorithm with designed marker for limited-power computer", "addresses": [{"name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "source_name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "street_adddress": "3 Thanon Chalong Krung, Khwaeng Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.72699780", "lng": "100.77638460", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7440529"]}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "5d1365b1cb7d51336402d546e1b7640f345757fc", "title": "Runtime Verification for Stream Processing Applications", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d13/65b1cb7d51336402d546e1b7640f345757fc.pdf"], "doi": []}, {"id": "20100323ec5c32ae91add8e866d891a78f1a2bbe", "title": "Unsupervised Object Discovery and Tracking in Video Collections", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.03825.pdf"], "doi": []}, {"id": "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "title": "Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "source_name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "street_adddress": "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "lat": "57.71720040", "lng": "11.92185580", "type": "company", "country": "Sweden"}], "year": "2018", "pdf": ["http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1077-3"]}, {"id": "6749db5ae9547d5fe0fb4c743c631eb5bac69d37", "title": "An adaptive clustering approach for group detection in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314181", "http://doi.org/10.1109/IWSSIP.2015.7314181"]}, {"id": "b17b20c3a3804482a1af3be897758d4f3be26677", "title": "Self-calibrating 3D context for retrieving people with luggage", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.multimedia-computing.de/mediawiki//images/3/35/ICCV_Workshop2011.pdf", "http://www.multimedia-computing.de/mediawiki/images/3/35/ICCV_Workshop2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130483", "http://doi.org/10.1109/ICCVW.2011.6130483"]}, {"id": "5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a", "title": "Constant-time monocular object detection using scene geometry", "addresses": [{"name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "source_name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "street_adddress": "Mikeletegi Pasealekua, 57, Parque Tecnol\u00f3gico de San Sebasti\u00e1n, 20009 Donostia, Gipuzkoa, Spain", "lat": "43.29223900", "lng": "-1.98569200", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-017-0625-8"]}, {"id": "32cd02519928aa91dca18074778a59b2cba19765", "title": "Forecasting crowd dynamics through coarse-grained data analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d29/8ae96e778c6582938476b010f52e0791a46d.pdf"], "doi": []}, {"id": "4ab31fc841890b90d66c30ed2f694a0597f0a081", "title": "Matching heads of multiple people in multiple camera networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628512", "http://doi.org/10.1109/ROMAN.2013.6628512"]}, {"id": "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses", "addresses": [{"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00652.pdf"], "doi": []}, {"id": "6725b986c81964414c39050e0ced11843cc0cbaa", "title": "Modeling crowd dynamics through coarse-grained data analysis.", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6725/b986c81964414c39050e0ced11843cc0cbaa.pdf"], "doi": []}, {"id": "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "title": "\"Seeing is Believing\": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354238", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00134", "http://doi.org/10.1109/WACV.2018.00134"]}, {"id": "fa5aca45965e312362d2d75a69312a0678fdf5d7", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf"], "doi": []}, {"id": "5369b021f2abf5daa77fa5602569bb3b8bb18546", "title": "GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_GMMCP_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299036", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299036", "http://doi.org/10.1109/CVPR.2015.7299036"]}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "224547337e1ace6411a69c2e06ce538bc67923f7", "title": "Convolutional Neural Network for Camera Pose Estimation from Object Detections", "addresses": [{"name": "Faculty of Computer Science, Moscow, Russia", "source_name": "Faculty of Computer Science, Moscow, Russia", "street_adddress": "Kochnovskiy Proyezd, 3, Moskva, Russia, 125319", "lat": "55.80671040", "lng": "37.54163810", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf"], "doi": []}, {"id": "3ad48edfc0b1debd8d327e4dadaa30324b0c2d7b", "title": "The \u2018Masai \u2019andmiraa: public authority, vigilance and criminality in a Ugandan border town*", "addresses": [{"name": "University of Antwerp", "source_name": "University of Antwerp, Wilrijk, Belgium", "street_adddress": "Prinsstraat 13, 2000 Antwerpen, Belgium", "lat": "51.22280970", "lng": "4.41023180", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ad4/8edfc0b1debd8d327e4dadaa30324b0c2d7b.pdf"], "doi": []}, {"id": "f2dd55304aa998e578d8af0c6bd873c121f676be", "title": "The changing profile of pediatric meningitis at a referral centre in Cape Town, South Africa.", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f2dd/55304aa998e578d8af0c6bd873c121f676be.pdf"], "doi": []}, {"id": "f5148d387860b31a4262cc19ae121668ace3f1f1", "title": "A Photo-Based Environmental History of the Use of Climbing Plants in Central Oxford, UK", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f514/8d387860b31a4262cc19ae121668ace3f1f1.pdf"], "doi": []}, {"id": "1c27031daf9429cfe5db1bdd833fff1db911d686", "title": "Tourism Development: Issues for Historic Walled Towns", "addresses": [{"name": "University of the West of England", "source_name": "Machine Vision Laboratory, University of the West of England, Bristol, UK", "street_adddress": "Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK", "lat": "51.50152270", "lng": "-2.54807570", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/1c27/031daf9429cfe5db1bdd833fff1db911d686.pdf"], "doi": []}, {"id": "dd3f22363bc575ccfbed69b0fd2acaf1b758a7ba", "title": "\u201c The Boys Are Coming to Town \u201d : Youth , Armed Conflict and Urban Violence in Developing Countries", "addresses": [{"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}, {"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/dd3f/22363bc575ccfbed69b0fd2acaf1b758a7ba.pdf"], "doi": []}, {"id": "174a07fdd63cd03970aaba903cab6c5f28344ad6", "title": "The introductory astronomy course at the University of Cape Town: probing student perspectives", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.2363.pdf"], "doi": []}, {"id": "aedc5eb7d7a52da0e99f65f07ef5119d0398a244", "title": "3 \u201c WHERE WERE THEY UNTIL NOW ? \u201d Aging , Care and Abandonment in a Bosnian Town", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aedc/5eb7d7a52da0e99f65f07ef5119d0398a244.pdf"], "doi": []}, {"id": "4221f6f9a1e0259dceffa2bfc85ba8dc995a43ee", "title": "Little Knowledge Rules the Web: Domain-Centric Result Page Extraction", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://christian.schallhart.net/publications/2011--rr--little-knowledge-rules-the-web-domain-centric-result-page-extraction.pdf", "http://www.orsigiorgio.net/wp-content/papercite-data/pdf/fgg*11b.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23580-1_6"]}, {"id": "c9c4a3108f201fa51ce2a25c85aea59fbc733d81", "title": "The aquatic macroinvertebrate biodiversity of urban ponds in a medium-sized European town (Loughborough, UK)", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/18381/1/Hill%20et%20al%202015.pdf"], "doi": ["https://doi.org/10.1007/s10750-015-2328-8"]}, {"id": "e2f7fb3fd5b62896213ad0b631df5d1941140957", "title": "Out on the town: A socio-physical approach to the design of a context-aware urban guide", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1534904"]}, {"id": "68df2e24423d80d2d3e37d8e1707501b4cf84b5f", "title": "Design of a solar energy centre for providing lighting and income-generating activities for off-grid rural communities in Kenya", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/85496.pdf", "https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/27616/3/Kenya.pdf"], "doi": ["https://doi.org/10.1016/j.renene.2017.11.053"]}, {"id": "907d179b7721ba5c7638c9b470b495bec919f54a", "title": "Probing primordial non-Gaussianity via iSW measurements with SKA continuum surveys", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "University of the Western Cape", "source_name": "University of the Western Cape", "street_adddress": "University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa", "lat": "-33.93277620", "lng": "18.62915407", "type": "edu", "country": "South Africa"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.0010.pdf"], "doi": []}, {"id": "fe38273f0aae5b572b126e72f81a238931aba758", "title": "Sexualising the sacred, sacralising sexuality: An analysis of public responses to Muslim women's religious leadership in the context of a Cape Town mosque", "addresses": [{"name": "University of KwaZulu-Natal", "source_name": "University of KwaZulu-Natal", "street_adddress": "238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa", "lat": "-29.86742190", "lng": "30.98072720", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fe38/273f0aae5b572b126e72f81a238931aba758.pdf"], "doi": []}, {"id": "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "title": "Learning Deep Features for Scene Recognition using Places Database", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e487/7221c3fd1afb6570c8ac22d909c8c559c572.pdf"], "doi": []}, {"id": "b5ce7b2954cf36f201f633385eb2da8e18afd87b", "title": "Caregivers' Experiences of Pathways to Care for Seriously Ill Children in Cape Town, South Africa: A Qualitative Investigation.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b5ce/7b2954cf36f201f633385eb2da8e18afd87b.pdf"], "doi": []}, {"id": "986c25cd9de882fc528ab569973673479182a0c9", "title": "Pancreatic injuries after blunt abdominal trauma: an analysis of 110 patients treated at a level 1 trauma centre.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9679/948f201ca0eabc3ba6f62db5d8c82ccda90b.pdf"], "doi": []}, {"id": "3ffa6531795dab7c732e61c712ae447b975b62c2", "title": "Return and Reintegration of Minority Refugees : The Complexity of the Serbian Returnees Experiences in the Town of Glina", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ffa/6531795dab7c732e61c712ae447b975b62c2.pdf"], "doi": []}, {"id": "ff33c99c6e4862f70116b648afbbf6ec05668d20", "title": "Fine aggregate resources in the greater Cape Town area", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ff33/c99c6e4862f70116b648afbbf6ec05668d20.pdf"], "doi": []}, {"id": "41bfe00f9d99cacb68c033ae024c7a5987873501", "title": "A town called eco: What notions of sustainable development do the government's proposed eco-towns embody?", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/41bf/e00f9d99cacb68c033ae024c7a5987873501.pdf"], "doi": []}, {"id": "339fc645f16ff35472b11f67fd068098d208ed04", "title": "HIV transmission risk behaviours among HIV seropositive sexually transmitted infection clinic patients in Cape Town, South Africa.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/339f/c645f16ff35472b11f67fd068098d208ed04.pdf"], "doi": []}, {"id": "42c7e2bedaa79ae475dc597b92f1d99b0cb797f1", "title": "A Season in Town: Plantation Women and the Urban South, 1790-1877", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/42c7/e2bedaa79ae475dc597b92f1d99b0cb797f1.pdf"], "doi": []}, {"id": "738128006c1bc172b06aa8951d2d09e8d2655873", "title": "Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7381/28006c1bc172b06aa8951d2d09e8d2655873.pdf"], "doi": []}, {"id": "0900470e632f03a735c7b3a8b4fbc18ef28ffd60", "title": "Association between socioeconomic status and renal function in a population of German patients with diabetic nephropathy treated at a tertiary centre.", "addresses": [{"name": "University of Jena", "source_name": "Computer Vision Group, University of Jena, Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0900/470e632f03a735c7b3a8b4fbc18ef28ffd60.pdf"], "doi": []}, {"id": "713bada3c1b324077e34059e11ee155349301361", "title": "A large and persistent carbon sink in the world's forests.", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/57a5/fbdac3d0489152a0c2822f6b8f510a05042a.pdf"], "doi": []}, {"id": "61e0d1042c9456ee9cb819a2408e6c217ddee90c", "title": "Initiating mobile phone technology using QR Codes to access library services at the University of Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/61e0/d1042c9456ee9cb819a2408e6c217ddee90c.pdf"], "doi": []}, {"id": "0de633523504718f103669721a081bd5b1c16223", "title": "Language choice and sexual communication among Xhosa speakers in Cape Town, South Africa: implications for HIV prevention message development.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0de6/33523504718f103669721a081bd5b1c16223.pdf"], "doi": []}, {"id": "51e6f15168c8e7c5ce2a649c73867466661c543e", "title": "Observation of Autler-Townes effect in a dispersively dressed Jaynes-Cummings System", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1308.2246.pdf"], "doi": []}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "a48d4487659ad4d0ab83c0537f3af0ab2fb4d03f", "title": "Cohort Profile: African Collaborative Center for Microbiome and Genomics Research\u2019s (ACCME's) Human Papillomavirus (HPV) and Cervical Cancer Study", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48d/4487659ad4d0ab83c0537f3af0ab2fb4d03f.pdf"], "doi": []}, {"id": "0fbb184871bd7660bc579178848d58beb8288b7d", "title": "Aggregating local descriptors into a compact image representation", "addresses": [{"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540039"]}, {"id": "3adb0668f10db739371381b94bf47f3ae4076aa4", "title": "Impact of the spatial structuring of virtual towns on the navigation strategies of children aged 6 to 15 years old", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3adb/0668f10db739371381b94bf47f3ae4076aa4.pdf"], "doi": []}, {"id": "3f6160adefb7a96864a6e254f29aa188aa1c1f9d", "title": "Deliberative Discourse in the Town Hall Meeting", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f61/60adefb7a96864a6e254f29aa188aa1c1f9d.pdf"], "doi": []}, {"id": "222ef20afbd6c1a729eac5079e8b027a725c9961", "title": "Empirical modified sequential therapy containing levofloxacin and high-dose esomeprazole in second-line therapy for Helicobacter pylori infection: a multicentre clinical trial.", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/222e/f20afbd6c1a729eac5079e8b027a725c9961.pdf"], "doi": []}, {"id": "6875ae579f2b6ce10cfb0a563ab278e6e7cd21c1", "title": "Dynamic electric and magnetic fields in laser-produced high-energy-density plasmas", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6875/ae579f2b6ce10cfb0a563ab278e6e7cd21c1.pdf"], "doi": []}, {"id": "341066f250e2edd7406376d644380699eb658364", "title": "Observations of electromagnetic fields and plasma flow in hohlraums with proton radiography.", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3148/404490eb3626c15361a6976cab9d81a46660.pdf"], "doi": []}, {"id": "e4fa8c7454f48d3bf047ab7ee1859618c4d6babf", "title": "The Deconstruction and Reconstruction of Tourism Image of an Ancient Town: ---Using the Ancient Town of Songkou as a Case Study", "addresses": [{"name": "Minjiang University", "source_name": "Minjiang University, Fuzhou, People\u2019s Republic of China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232189"]}, {"id": "cc964b35672023a17c33a51a13c769491c581f37", "title": "Coherence Properties and Quantum Control of Silicon Vacancy Color Centers in Diamond", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10321.pdf"], "doi": []}, {"id": "82e82699a51b8939c70115ca2ee7b07fc8cae8de", "title": "Conceptual patterns for student-centered computer science education at secondary school level", "addresses": [{"name": "University of Vienna", "source_name": "University of Vienna", "street_adddress": "Uni Wien, 1, Universit\u00e4tsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, \u00d6sterreich", "lat": "48.21313020", "lng": "16.36068653", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2532776"]}, {"id": "1b89a526477f40dc91a98d9c5ca4d017dce7ec99", "title": "Data centers \u2013 threat or possibility to old industrial sites (brownfields) in Nordic countries", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b89/a526477f40dc91a98d9c5ca4d017dce7ec99.pdf"], "doi": []}, {"id": "9da6a7c8d7073d4300b40db71681b67ac85fdbf7", "title": "Recreating a Vibrant City Center in Response Urban Environments by Using AHP Model ( Case Study : Qazvin City Historical Context in Iran )", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9da6/a7c8d7073d4300b40db71681b67ac85fdbf7.pdf"], "doi": []}, {"id": "4ee6404c324a09aab0cdeb76395f56b3cf383c7f", "title": "Centers of sustainable co-created products by BoP: Development inspired by social entrepreneurs", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4ee6/404c324a09aab0cdeb76395f56b3cf383c7f.pdf"], "doi": []}, {"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "title": "The Pascal Visual Object Classes (VOC) Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, {"id": "2286602a560b0388ca002f7188ab10f2eecbd6d7", "title": "Stone tools from the ancient Tongan state reveal prehistoric interaction centers in the Central Pacific.", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2286/602a560b0388ca002f7188ab10f2eecbd6d7.pdf"], "doi": []}, {"id": "e0ee8a77119cc271f65d56ba5634bc13fa4b5afe", "title": "ENTREPRENEURIALISM MEETS THE SUSTAINABLE CITY: THE CASE OF LEXINGTON\u2019S TOWN BRANCH COMMONS", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ee/8a77119cc271f65d56ba5634bc13fa4b5afe.pdf"], "doi": []}, {"id": "23878dceae9115914879f239c2fd0e180c391c0d", "title": "Narrowing the Gap : Between the African-centered and Postmodernist Interpretations of Pan-Africanism in Contemporary Black-Atlantic Studies", "addresses": [{"name": "Kent State University", "source_name": "Kent State University", "street_adddress": "Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA", "lat": "41.14435250", "lng": "-81.33982833", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2387/8dceae9115914879f239c2fd0e180c391c0d.pdf"], "doi": []}, {"id": "1cdb75e76d247f706cf8ce1f227d3a7536a0a4af", "title": "Proposition of a Geotechnical Mapping Based on Artificial Neural Networks for the Town of Caucaia , Cear\u00e1 , Brazil for Paving Purposes", "addresses": [{"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cdb/75e76d247f706cf8ce1f227d3a7536a0a4af.pdf"], "doi": []}, {"id": "1b1dddff688fe7a19a228784866208d7ccf6b560", "title": "Mending a fractured landscape: balancing culture and nature in the vanishing mill town of Daniels, Maryland", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1b1d/ddff688fe7a19a228784866208d7ccf6b560.pdf"], "doi": []}, {"id": "d737c2a0f9777feb52bfb90a84de6425a20a1bc0", "title": "Place-based education at the River Valley Outdoor Learning Center: Four students' stories", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d737/c2a0f9777feb52bfb90a84de6425a20a1bc0.pdf"], "doi": []}, {"id": "7c3f1879d91be898e1344e1d9c5ad7dd7846b6a6", "title": "Contesting Race in YouTube \u2019 s K-Town : \u201c It \u2019 s white people in Asian disguises \u201d", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7c3f/1879d91be898e1344e1d9c5ad7dd7846b6a6.pdf"], "doi": []}, {"id": "e714e831034f041926d02c5c23bc8d3d55b583bf", "title": "Crime, fear of crime and social order in a post-war British new town : a humanistic contribution to environmental criminology", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/e714/e831034f041926d02c5c23bc8d3d55b583bf.pdf"], "doi": []}]} \ No newline at end of file +{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "paper": {"key": "oxford_town_centre", "name": "TownCentre", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}]}, "citations": [{"id": "fc685ef21c4b2db0304b830f6a20e31eb0ec0737", "title": "Visualizing and Analyzing Video Content With Interactive Scalable Maps", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of Computer Science", "source_name": "Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579162", "http://doi.org/10.1109/TMM.2016.2614229"]}, {"id": "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "title": "Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03968.pdf"], "doi": []}, {"id": "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "title": "Learning scene-specific pedestrian detectors without real data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sony", "source_name": "Sony Electronics Inc., San Jose, CA, USA", "street_adddress": "1730 N 1st St, San Jose, CA 95112, USA", "lat": "37.36759050", "lng": "-121.91334910", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015-sup.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015.pdf", "http://www.cs.cmu.edu/~kkitani/pdf/HBKK-CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299006", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299006", "http://doi.org/10.1109/CVPR.2015.7299006"]}, {"id": "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "title": "Improvement in object detection using Super Pixels", "addresses": [{"name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "source_name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "street_adddress": "MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India", "lat": "13.03046190", "lng": "77.56468620", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf"], "doi": []}, {"id": "14effecdf4e99a6ef3bb590582ca07e642d49632", "title": "Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3290/55356252ec95df17699487632b7607572ad6.pdf"], "doi": []}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "e23b3779547682b3e1f5a9108ed1afddc97af679", "title": "Silhouette labeling and tracking in calibrated omnidirectional video sequences", "addresses": [{"name": "University of Piraeus", "source_name": "University of Piraeus", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, 80, \u039a\u03b1\u03c1\u03b1\u03bf\u03bb\u03ae \u03ba\u03b1\u03b9 \u0394\u03b7\u03bc\u03b7\u03c4\u03c1\u03af\u03bf\u03c5, \u0391\u03c0\u03cc\u03bb\u03bb\u03c9\u03bd\u03b1\u03c2, \u039d\u03ad\u03bf \u03a6\u03ac\u03bb\u03b7\u03c1\u03bf, \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ac\u03c2, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 185 34, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.94173275", "lng": "23.65303262", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910726"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52", "title": "Continuous tracking in Free Space Optical balloon mesh networks", "addresses": [{"name": "University of Arkansas at Little Rock", "source_name": "University of Arkansas at Little Rock", "street_adddress": "University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA", "lat": "34.72236805", "lng": "-92.33830255", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550317"]}, {"id": "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "title": "A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf"], "doi": []}, {"id": "da9d71087025ca20fe0259b9aabf803e9d556160", "title": "Motion priors based on goals hierarchies in pedestrian tracking applications", "addresses": [{"name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Mexico", "source_name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas (CIMAT A.C.), Guanajuato, Mexico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0832-8"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "6ff6f356244a647ff2a6d9dc27343d3e22840571", "title": "Branch and bound global optima search for tracking a single object in a network of non-overlapping cameras", "addresses": [{"name": "AIT Austrian Institute of Technology, Vienna, Austria", "source_name": "AIT Austrian Institute of Technology, Vienna, Austria", "street_adddress": "Giefinggasse 2, 1210 Wien, Austria", "lat": "48.26830140", "lng": "16.42724830", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Branislav_Micusik/publication/221430103_Branch_and_bound_global_optima_search_for_tracking_a_single_object_in_a_network_of_non-overlapping_cameras/links/0046353b4f60673258000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130470", "http://doi.org/10.1109/ICCVW.2011.6130470"]}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "6947ecf688956184bd7371b3689fb9494139320c", "title": "PETS 2015: Datasets and challenge", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46540/1/2015_AVSS_PETS2015Datasets_Li_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301741", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301741", "http://doi.org/10.1109/AVSS.2015.7301741"]}, {"id": "3e03435792619833d4e2aa14344761b003c10c67", "title": "A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3e03/435792619833d4e2aa14344761b003c10c67.pdf"], "doi": []}, {"id": "290eda31bc13cbd5933acec8b6a25b3e3761c788", "title": "Multiple object tracking with context awareness", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7935.pdf"], "doi": []}, {"id": "4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7", "title": "Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744579", "http://doi.org/10.1109/TCSVT.2016.2629340"]}, {"id": "1f527b5406356018e6dc401a4be8098a5a451891", "title": "Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Jacobs University", "source_name": "Jacobs University", "street_adddress": "Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK", "lat": "53.41291480", "lng": "-2.96897915", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f52/7b5406356018e6dc401a4be8098a5a451891.pdf"], "doi": []}, {"id": "057517452369751bd63d83902ea91558d58161da", "title": "Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382753", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.31", "http://doi.org/10.1109/SIBGRAPI.2012.31"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "6aaa77e241fe55ae0c4ad281e27886ea778f9e23", "title": "F-Formation Detection: Individuating Free-Standing Conversational Groups in Images", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.2702.pdf"], "doi": []}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "title": "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02000.pdf"], "doi": []}, {"id": "e57ce6244ec696ff9aa42d6af7f09eed176153a8", "title": "Instantaneous real-time head pose at a distance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351449", "http://doi.org/10.1109/ICIP.2015.7351449"]}, {"id": "d67d9abc9c9f9e84ab3647d21db70ca98117f709", "title": "Moving people tracking with detection by latent semantic analysis for visual surveillance applications", "addresses": [{"name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "source_name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "street_adddress": "Morena Link Rd, IIITM Campus, Gwalior, Madhya Pradesh 474015, India", "lat": "26.24945320", "lng": "78.17398330", "type": "edu", "country": "India"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-012-1110-4"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "title": "Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf"], "doi": []}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "83d956ed39127058e02395924f96b68e2f8289e0", "title": "Efficient video multicast in wireless surveillance networks for intelligent building", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.cs.cityu.edu.hk/news/seminars/sem2015-2016_no38.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7475084"]}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "title": "Forecasting Interactive Dynamics of Pedestrians with Fictitious Play", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01431.pdf"], "doi": []}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "title": "MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.09100.pdf"], "doi": []}, {"id": "626c71140a93afbb2234642f2634ebf635949263", "title": "Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "Ilha do Fund\u00e3o, S/N - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21945-970, Brazil", "lat": "-22.86176210", "lng": "-43.22838750", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885730"]}, {"id": "ba004e5789bdc565734727ce22820dca77d6407c", "title": "Video target tracking based on fusion state estimation", "addresses": [{"name": "The University of Auckland", "source_name": "Embedded Systems Research Group, The University of Auckland, Auckland, New Zealand", "street_adddress": "UniServices House, Level, 6/70 Symonds St, Grafton, Auckland 1010, New Zealand", "lat": "-36.85604780", "lng": "174.76640670", "type": "edu", "country": "New Zealand"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936530"]}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "addresses": [{"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2b9410889dc6870cc6e0476dbc681049b28ccacb", "title": "Learning to Detect Carried Objects with Minimal Supervision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf", "http://www.cs.umd.edu/~rdondera/cod.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Dondera_Learning_to_Detect_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~morariu/publications/DonderaCarriedObjectSISM13.pdf", "https://drum.lib.umd.edu/bitstream/handle/1903/13339/CS-TR-5018.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595958", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.114", "http://doi.org/10.1109/CVPRW.2013.114"]}, {"id": "bf5214de5a1460e01eccffb74c60a57b43cf099e", "title": "Supporting animal welfare with automatic tracking of giraffes with thermal cameras", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3156142"]}, {"id": "c11f05de35310725d83a4ac9a393f06168acc967", "title": "Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration", "addresses": [{"name": "Glasgow Caledonian University", "source_name": "Glasgow Caledonian University, Glasgow, United Kingdom", "street_adddress": "Cowcaddens Rd, Glasgow G4 0BA, UK", "lat": "55.86681830", "lng": "-4.24996020", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://researchonline.gcu.ac.uk/portal/files/24542977/IEEETransCybernetics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7778232", "http://doi.org/10.1109/TCYB.2016.2631660", "https://www.ncbi.nlm.nih.gov/pubmed/27959835", "https://www.wikidata.org/entity/Q48584156"]}, {"id": "e1678add566a002e1fe5536d8607888549e36ff8", "title": "Object detection and tracking in night time video surveillance", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677410", "http://doi.org/10.1109/URAI.2013.6677410"]}, {"id": "4e82908e6482d973c280deb79c254631a60f1631", "title": "Improving Efficiency and Scalability in Visual Surveillance Applications", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf"], "doi": []}, {"id": "137239cd29634465f35ce261718efece57cfc617", "title": "Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1372/39cd29634465f35ce261718efece57cfc617.pdf"], "doi": []}, {"id": "4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7", "title": "Long-term tracking of multiple interacting pedestrians using a single camera by Advice", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4d60/43a25bf48c6fd6aff6a46597fe1902a9c6a7.pdf"], "doi": []}, {"id": "1627a0c46c29e020268f9225c9042bd6cedd83b5", "title": "Multiple human detection and tracking based on head detection for real-time video surveillance", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-014-2177-x"]}, {"id": "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "title": "Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf"], "doi": []}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "b02581323ad03125e9b18d74ba0c1909d6485dda", "title": "Contextual anomaly detection in crowded surveillance scenes", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441/Context_Aware_Anomaly_Detection_3rdRevision.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2013.11.018", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441"]}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "508ce149508610edd93a17561a460f2199c8609e", "title": "Tracking performance evaluation on PETS 2015 Challenge datasets", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46541/1/2015_AVSS_PETS2015TrackingChallenge_Nawaz_Boyle_Li_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301743", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301743", "http://doi.org/10.1109/AVSS.2015.7301743"]}, {"id": "61a768171bcaf5d0b5359af551d9732015bc4036", "title": "Getting through: modality selection in a multi-sensor-actuator industrial IoT environment", "addresses": [{"name": "Johannes Kepler University, Linz, Austria", "source_name": "JKU, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131561"]}, {"id": "920246280e7e70900762ddfa7c41a79ec4517350", "title": "(MP) 2 T: multiple people multiple parts tracker", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf", "http://homes.cs.washington.edu/~izadinia/files/MPMPT-ECCV12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_8"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "d8bb184afa8e68c569592471d83fdcd9120fe5c6", "title": "Double layer salient parts based multi-people tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351367", "http://doi.org/10.1109/ICIP.2015.7351367"]}, {"id": "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "title": "Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07544.pdf"], "doi": []}, {"id": "72dc0c1e033be838582ef8da6ae3d51b6375cebb", "title": "Multiple human tracking system for unpredictable trajectories", "addresses": [{"name": "University of A Coru\u00f1a", "source_name": "VARPA Group, University of A Coru\u00f1a, A Coru\u00f1a, Spain", "street_adddress": "A Coru\u00f1a, Spain", "lat": "43.36234360", "lng": "-8.41154010", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://www.researchgate.net/profile/Brais_Cancela/publication/260524496_Multiple_human_tracking_system_for_unpredictable_trajectories/links/53d667650cf220632f3d9f50.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0544-7"]}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "0348ff27225e45578c39f000e86bd96aef060c97", "title": "A multistage filtering for detecting group in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846671"]}, {"id": "2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7", "title": "Fast Support Vector Classifier for automated content-based search in video surveillance", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": ["http://alpha.imag.pub.ro/~imironica/publications/CMitrea_ISSCS_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7203953"]}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "85136f57350f29ff299dd13b28885666ae305e57", "title": "Improving object visual tracking performance by scene occluder estimation for video surveillance", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832117"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "084352b63e98d3b3310521fb3bda8cb4a77a0254", "title": "Part-based multiple-person tracking with partial occlusion handling", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Nevada", "source_name": "University of Nevada", "street_adddress": "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "lat": "39.54694490", "lng": "-119.81346566", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/papers/1439.pdf", "http://vision.eecs.ucf.edu/papers/cvpr2012/1439.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247879", "http://doi.org/10.1109/CVPR.2012.6247879"]}, {"id": "30492d91c8ac2e476a25bf7ddf445be00b3d2fe3", "title": "CrowdProbe: Non-invasive Crowd Monitoring with Wi-Fi Probe", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264925"]}, {"id": "961561a96e82d1fb596f030cc1d4aace1bd85a32", "title": "Tracklet Reidentification in Crowded Scenes Using Bag of Spatio-temporal Histograms of Oriented Gradients", "addresses": [{"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://rd.springer.com/content/pdf/10.1007/978-3-642-38989-4_10.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-38989-4_10"]}, {"id": "b787113305ddef424def20920b8b098c7f18bd98", "title": "Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b787/113305ddef424def20920b8b098c7f18bd98.pdf"], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "5b36d1d7279d0db75f52f4934b123a3757bf8092", "title": "Real-time moving objects tracking for mobile-robots using motion information", "addresses": [{"name": "University of Paderborn", "source_name": "GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany", "street_adddress": "L\u00fcthenweg 35, 33106 Paderborn, Germany", "lat": "51.68792000", "lng": "8.68585000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7017674", "http://doi.org/10.1109/SSRR.2014.7017674"]}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612", "title": "Translation-Based KLT Tracker Under Severe Camera Rotation Using GPS/INS Data", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477082", "http://doi.org/10.1109/LGRS.2013.2245858"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10", "title": "TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0852-4"]}, {"id": "43fe6e4c3163435fd829d3c1c41ba17de4e13559", "title": "ReGLe: Spatially Regularized Graph Learning for Visual Tracking", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123288"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "title": "Solving Multiple People Tracking in a Minimum Cost Arborescence", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046817", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.7", "http://doi.org/10.1109/WACVW.2015.7"]}, {"id": "70be5432677c0fbe000ac0c28dda351a950e0536", "title": "Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910023", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.75", "http://doi.org/10.1109/CVPRW.2014.75"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "13a3952eea0445fc4a1825be10acbd3a189355e3", "title": "Coarse-to-fine approach for fast correlation-based visual tracking", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792989", "http://doi.org/10.1109/IECON.2016.7792989"]}, {"id": "a936a60766cbccb27217c3ccfedaa16d4c7b517b", "title": "Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539557", "http://doi.org/10.1109/TITS.2016.2569159"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "679136c2844eeddca34e98e483aca1ff6ef5e902", "title": "Scene-Specific Pedestrian Detection Based on Parallel Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08745.pdf"], "doi": []}, {"id": "4624cbd2395e46159127e285ceaf45b9ab903e17", "title": "A Novel Fuzzy Data Association Approach for Visual Multi-object Tracking", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05004.pdf"], "doi": ["https://doi.org/10.1051/itmconf%2F20171205004"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "addresses": [{"name": "NICTA, Canberra", "source_name": "NICTA, Canberra", "street_adddress": "Canberra ACT 2601, Australia", "lat": "-35.28093680", "lng": "149.13000920", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "8cc56d82787069ca91ac6bb8133e15da6dfe564c", "title": "Multiple person tracking based on slow feature analysis", "addresses": [{"name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "source_name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "street_adddress": "Tianjin, China", "lat": "39.34335740", "lng": "117.36164760", "type": "edu", "country": "China"}, {"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5218-4"]}, {"id": "6624a89894990a9f5edb06feb9e4d5ce6147459f", "title": "Kriging-based prediction and interpolation for modeling pedestrian dynamics", "addresses": [{"name": "Chiba University", "source_name": "Institute of Management and Information Technologies, Chiba University, Chiba, Japan", "street_adddress": "Japan, \u3012263-8522 Chiba Prefecture, \u5343\u8449\u5e02\u7a32\u6bdb\u533a\u5f25\u751f\u753a\uff11\u2212\uff13\uff13", "lat": "35.62773740", "lng": "140.10336820", "type": "edu", "country": "Japan"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023264", "http://doi.org/10.1109/IFSA-SCIS.2017.8023264"]}, {"id": "422d352a7d26fef692a3cd24466bfb5b4526efea", "title": "Pedestrian interaction in tracking : the social force model and global optimization methods", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf"], "doi": []}, {"id": "fa62bb5355ee5447ec651f56b9e06645eb2f56f0", "title": "Co-design system for template matching using dedicated co-processor and modified elephant herding optimization", "addresses": [{"name": "State University of Rio de Janeiro", "source_name": "State University of Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8399903", "http://doi.org/10.1109/LASCAS.2018.8399903"]}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f", "title": "Multi-target Tracking by Rank-1 Tensor Approximation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c387.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "http://www.dabi.temple.edu/~hbling/publication/tensor-mda-7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619153", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.309", "http://doi.org/10.1109/CVPR.2013.309"]}, {"id": "0382a1301094c6ba60b18ffa8d12da6ca0863339", "title": "Online Learned Discriminative Part-Based Appearance Models for Multi-human Tracking", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0382/a1301094c6ba60b18ffa8d12da6ca0863339.pdf"], "doi": []}, {"id": "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "title": "Online Multi-person Tracking by Tracker Hierarchy", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "http://www.cs.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328007", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.51", "http://doi.org/10.1109/AVSS.2012.51"]}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "de0c4459c46c5efbad02cd9a1f4687a12883c5d7", "title": "Asmar Hasanova Pedestrian Detection and Tracking in Urban Context Using a Mono-Camera", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/de0c/4459c46c5efbad02cd9a1f4687a12883c5d7.pdf"], "doi": []}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "bbb44958216281607c282427f3001f7bc36e2385", "title": "Motion instability based unsupervised online abnormal behaviors detection", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2664-8"]}, {"id": "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "title": "Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037515.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.216", "http://doi.org/10.1109/CVPR.2013.216"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "b1bccc71e48ec4a114cef69a492b2e5b3d1f123b", "title": "Visual 3D tracking of child-adult social interactions", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "source_name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "street_adddress": "21 Bloomingdale Rd, White Plains, NY 10605, USA", "lat": "41.02473090", "lng": "-73.75380000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329835", "http://doi.org/10.1109/DEVLRN.2017.8329835"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "7c132e0a2b7e13c78784287af38ad74378da31e5", "title": "Salient Parts based Multi-people Tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf"], "doi": []}, {"id": "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "title": "Training a convolutional neural network for multi-class object detection using solely virtual world data", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738056", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056", "http://doi.org/10.1109/AVSS.2016.7738056"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "title": "Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.05234.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b", "title": "Assessing tracking assessment measures", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://fabio-poiesi.com/files/presentations/poster_icip_2014.pdf", "http://www.eecs.qmul.ac.uk/~andrea/papers/2014_ICIP_MeasuresAssessment_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025088", "http://doi.org/10.1109/ICIP.2014.7025088"]}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "dba7757ea7a390ec0509834a5f457c6f28ae6b76", "title": "A general line tracking algorithm based on computer vision", "addresses": [{"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7531957"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "1874db58583e6e5aeb98f2329d9e1ba44b8f6022", "title": "OPTIMUS:online persistent tracking and identification of many users for smart spaces", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-014-0607-4"]}, {"id": "d7f11ebb73bfe74a57c33f7e75f7981ad9385580", "title": "Real-Time Resource Allocation for Tracking Systems", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4143/440cfded29a9747e42ac1c9ffe926e3164fa.pdf"], "doi": []}, {"id": "975c04f3193615ea7559cca019176e56ce60d052", "title": "Object Detection utilizing Modified Auto Encoder and Convolutional Neural Networks", "addresses": [{"name": "University of Tabriz", "source_name": "University of Tabriz", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u062a\u0628\u0631\u06cc\u0632, \u0634\u0647\u06cc\u062f \u0627\u06cc\u0631\u062c \u062e\u0644\u0648\u062a\u06cc, \u06a9\u0648\u06cc \u0627\u0646\u0642\u0644\u0627\u0628, \u062a\u0628\u0631\u06cc\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0628\u0631\u06cc\u0632, \u0627\u0633\u062a\u0627\u0646 \u0622\u0630\u0631\u0628\u0627\u06cc\u062c\u0627\u0646 \u0634\u0631\u0642\u06cc, 5166616471, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "38.06125530", "lng": "46.32984840", "type": "edu", "country": "Iran"}, {"name": "University of Isfahan", "source_name": "Faculty of Computer Engineering, University of Isfahan, Iran", "street_adddress": "Khomeyni Shahr, Isfahan Province, Iran", "lat": "32.71773310", "lng": "51.52587900", "type": "edu", "country": "Iran"}, {"name": "Universiti Putra Malaysia", "source_name": "Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia", "street_adddress": "Faculty of Computer Science and Information Technology, University Putra Malaysia, Persiaran Universiti 1, Selangor, 43400 Serdang, Malaysia", "lat": "2.99962350", "lng": "101.71034070", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563423"]}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "addresses": [{"name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "source_name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "1883387726897d94b663cc4de4df88e5c31df285", "title": "Measures of Effective Video Tracking", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655935", "http://doi.org/10.1109/TIP.2013.2288578", "https://www.ncbi.nlm.nih.gov/pubmed/24235302", "https://www.wikidata.org/entity/Q48704231"]}, {"id": "846652200134bd02c65c502a4e587a11592479a4", "title": "Survey on Vision-based Path Prediction", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00233.pdf"], "doi": []}, {"id": "9cd7487e0eed11dabc94dd867178204c53eb2270", "title": "Self-Organizing Traffic Lights : A Pedestrian Oriented Approach", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9cd7/487e0eed11dabc94dd867178204c53eb2270.pdf"], "doi": []}, {"id": "cc76729795069f24d66e8c29f1e08b50f8980a53", "title": "Co-design system for template matching using dedicated co-processor and particle swarm optimization", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7948053", "http://doi.org/10.1109/LASCAS.2017.7948053"]}, {"id": "06abf34ed52cefe1181451700346f870c2adb0b5", "title": "Object tracking by supported particles", "addresses": [{"name": "Chonnam National University University", "source_name": "Chonnam National University University, Gwangju, Korea, Gwangju, Korea", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057484", "http://doi.org/10.1109/URAI.2014.7057484"]}, {"id": "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "title": "User interest profiling using tracking-free coarse gaze estimation", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze, Firenze", "source_name": "Università degli Studi di Firenze, Firenze", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf", "https://www.micc.unifi.it/wp-content/uploads/2016/12/ICPR_2016_GAZE.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899904", "http://doi.org/10.1109/ICPR.2016.7899904"]}, {"id": "0f8b4a64eea40c1f0aa655d4e77e46543ff558b7", "title": "Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://astro.temple.edu/~tuc33610/Public/Publications/CVPR2014/Curvilinear_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_Curvilinear_Structure_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909787", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.391", "http://doi.org/10.1109/CVPR.2014.391"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "608305c25aae19dd346153dadedac851f0b7f9ff", "title": "A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/6083/05c25aae19dd346153dadedac851f0b7f9ff.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "4d38a43865e0bcc87dc6ad83331539429e00543c", "title": "Road lane reconstruction using vision \u2014 based macro block spatial predictions", "addresses": [{"name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "source_name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "street_adddress": "Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56550430", "lng": "120.99323340", "type": "edu", "country": "Philippines"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227968", "http://doi.org/10.1109/tencon.2017.8227968"]}, {"id": "6986658717d6430be30acea59a1296125062d5a4", "title": "Cross-camera multi-person tracking by leveraging fast graph mining algorithm", "addresses": [{"name": "Information & Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "source_name": "Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "street_adddress": "China, Zhejiang, Hangzhou, Xihu, Wen'er Rd, 328\u53f7\u5bcc\u4e3d\u79d1\u6280\u5927\u53a6A\u5ea71468", "lat": "30.28271810", "lng": "120.12457080", "type": "company", "country": "China"}, {"name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "source_name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "street_adddress": "Xiamen, Fujian, China", "lat": "24.47983300", "lng": "118.08942500", "type": "company", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5403-5"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "addresses": [{"name": "Changzhou University", "source_name": "Changzhou University, Changzhou, China", "street_adddress": "1 Gehu Middle Rd, Wujin Qu, Changzhou Shi, Jiangsu Sheng, China", "lat": "31.68423700", "lng": "119.95514100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "title": "Exploiting pedestrian interaction via global optimization and social behaviors", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf", "http://www.tnt.uni-hannover.de/papers/data/924/LeaPonRos11SocialLP.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/134/LeaPonRos11SocialLP.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-34091-8_1"]}, {"id": "03ce07616628ac7c7dac92ea714313b674217811", "title": "Deep Learning of Scene-Specific Classifier for Pedestrian Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910472.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zengOWeccv14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10578-9_31"]}, {"id": "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "title": "A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter", "addresses": [{"name": "Ben-Gurion University", "source_name": "Ben-Gurion University, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Orbotech Ltd., Yavne, Israel", "source_name": "Orbotech Ltd., Yavne, Israel", "street_adddress": "HaSanhedrin Blvd 1, Yavne, Israel", "lat": "31.88787670", "lng": "34.73598850", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf", "https://www.cs.bgu.ac.il/~ben-shahar/Publications/2016-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker.pdf", "https://www.cs.bgu.ac.il/~rba/R_Ben-Ari_JRTIP2013.pdf"], "doi": ["http://doi.org/10.1007/s11554-013-0329-2"]}, {"id": "9070045c1a9564a5f25b42f3facc7edf4c302483", "title": "Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf", "http://vision.eecs.ucf.edu/ICCVWorkshop/papers/MSVLC2011_Paper2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130233", "http://doi.org/10.1109/ICCVW.2011.6130233"]}, {"id": "1110f86433302fd6c4cc92e2ac1ddf80b917b25c", "title": "An approach to monitor river catchment with PAL SAR satellite data", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036639"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "076fd6fd85b93858155a1c775f1897f83d52b4c2", "title": "Improving an Object Detector and Extracting Regions Using Superpixels", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d721.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619321", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.477", "http://doi.org/10.1109/CVPR.2013.477"]}, {"id": "60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad", "title": "People-flow counting in complex environments by combining depth and color information", "addresses": [{"name": "Chongqing University of Posts and Telecommunications", "source_name": "Chongqing University of Posts and Telecommunications", "street_adddress": "\u91cd\u5e86\u90ae\u7535\u5927\u5b66, \u5d07\u6587\u8def, \u6e1d\u4e2d\u533a, \u9ec4\u6877\u57ad, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400065, \u4e2d\u56fd", "lat": "29.53570460", "lng": "106.60482474", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3344-z"]}, {"id": "7996a71a86693a721e45ff9482d286a310ada3ad", "title": "Multi-PN-learning for tracking applications", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064407", "http://doi.org/10.1109/ICARCV.2014.7064407"]}, {"id": "6cfa1ecd9b534c08cb4556f5d45fc9843c6d9425", "title": "Multiple Objects Detection using HSV", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8556711"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "f3d0d2f66ab04d9b8d6a590b339cd692b22174df", "title": "Tracking in multimedia data via robust reweighted local multi-task sparse representation for transportation surveillance", "addresses": [{"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3464-5"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae", "title": "Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "University of Sousse", "source_name": "UR: SAGE-ENISo, University of Sousse, Tunisia", "street_adddress": "P\u00f4le technologique de Sousse, Route de Ceinture Sahloul\u060c 4054, Tunisia", "lat": "35.82039000", "lng": "10.59309030", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2974040"]}, {"id": "3434ba5677e5c98e82ee17a1f2d0ddef66d0b009", "title": "Interactive tracking and action retrieval to support human behavior analysis", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3434/ba5677e5c98e82ee17a1f2d0ddef66d0b009.pdf"], "doi": []}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb", "title": "Calibration of multi-camera systems", "addresses": [{"name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "source_name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "street_adddress": "Maestro M. Lopez esq. Cruz Roja, C\u00f3rdoba, Argentina", "lat": "-31.44225000", "lng": "-64.19316580", "type": "edu", "country": "Argentina"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7497094"]}, {"id": "bd75a21797c8fbed8e9a8f293163e4d4c94149fc", "title": "Online multi-object tracking based on hierarchical association and sparse representation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296362", "http://doi.org/10.1109/ICIP.2017.8296362"]}, {"id": "2feb7c57d51df998aafa6f3017662263a91625b4", "title": "Feature Selection for Intelligent Transportation Systems", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "71d4924367ba5d31d87bf1ac724db3f285b345c1", "title": "Recovering background regions in videos of cluttered urban scenes", "addresses": [{"name": "Thales UK, Glasgow", "source_name": "Thales UK, Glasgow", "street_adddress": "1 Linthouse Rd, Glasgow G51 4BZ, UK", "lat": "55.86648580", "lng": "-4.33582740", "type": "company", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351576", "http://doi.org/10.1109/ICIP.2015.7351576"]}, {"id": "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "title": "Multiple-Person Tracking by Detection", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf"], "doi": []}, {"id": "b8af24279c58a718091817236f878c805a7843e1", "title": "Context Aware Anomalous Behaviour Detection in Crowded Surveillance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf"], "doi": []}, {"id": "d29895fca6ae688514850856208c2b88f01ea3e0", "title": "Multi-Target Video Tracking Based on Improved Data Association and Mixed Kalman/ $H_{\\infty }$ Filtering", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555348"]}, {"id": "e5bc872565ef74c3929a4bfb2f785570d546e983", "title": "Video Compression for Object Detection Algorithms", "addresses": [{"name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "source_name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546064"]}, {"id": "ad467baa4f59d18ed998757bcba3df3c2a753df8", "title": "Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1402.2826.pdf"], "doi": []}, {"id": "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "title": "Tracklet association based multi-target tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3238-5"]}, {"id": "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "title": "GPU Accelerated ACF Detector", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf"], "doi": []}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "0a5718f6a60ca18e6b6de5660c49040ac0045d7a", "title": "Automatic classification of the Parkinson \u2019 s patient stiffness from a single videosequence", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0a57/18f6a60ca18e6b6de5660c49040ac0045d7a.pdf"], "doi": []}, {"id": "b45bb3876a7f980490e0b78ed70064d276b13761", "title": "Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes", "addresses": [{"name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "source_name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139258", "http://doi.org/10.1109/ICRA.2015.7139258"]}, {"id": "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "title": "Pattern Recognition", "addresses": [{"name": "University of Erlangen-N\u00fcrnberg", "source_name": "University of Erlangen-N\u00fcrnberg, Erlangen, Germany", "street_adddress": "Schlo\u00dfplatz 4, 91054 Erlangen, Germany", "lat": "49.59788040", "lng": "11.00455070", "type": "edu", "country": "Germany"}, {"name": "University of Kiel", "source_name": "University of Kiel, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "Germany"}, {"name": "University of M\u00fcnster", "source_name": "University of M\u00fcnster, M\u00fcnster, Germany", "street_adddress": "Schlossplatz 2, 48149 M\u00fcnster, Germany", "lat": "51.96357050", "lng": "7.61318260", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://www.fil.ion.ucl.ac.uk/~john/misc/ISBI2015/ISBI_I.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-11752-2"]}, {"id": "0749deedd6dce98b48475f335e2c322b16fcb202", "title": "Hybrid 3D\u20132D human tracking in a top view", "addresses": [{"name": "IBISC laboratory, Evry, France", "source_name": "IBISC laboratory, Evry, France", "street_adddress": "43 Rue du Pelvoux, 91080 Courcouronnes, France", "lat": "48.61325350", "lng": "2.42853710", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-014-0429-7"]}, {"id": "2a7935706d43c01789d43a81a1d391418f220a0a", "title": "Enhancing Linear Programming with Motion Modeling for Multi-target Tracking", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/31960902/285.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045871", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.17", "http://doi.org/10.1109/WACV.2015.17"]}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}, {"id": "9b93626cc87411964712d05905c2dd0a1247d16d", "title": "Multiple instance-based object retrieval in video surveillance: Dataset and evaluation", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936970"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "8cf679ef0ea28557acb86546e4b1b1a617d1c698", "title": "Long Term Multi-Target Tracking based on Detection and Data Association", "addresses": [{"name": "University of Suwon", "source_name": "the University of Suwon, Korea", "street_adddress": "17 Wauan-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do, South Korea", "lat": "37.20899690", "lng": "126.97639770", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8cf6/79ef0ea28557acb86546e4b1b1a617d1c698.pdf"], "doi": []}, {"id": "4643da1a650d34aca300f3222d07fc9c1e622891", "title": "Persistent people tracking and face capture using a PTZ camera", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0758-6", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778246"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54", "title": "A video cloud platform combing online and offline cloud computing technologies", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-015-0879-3"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "addresses": [{"name": "Universit\u00e0 degli Studi di Cagliari, Italy", "source_name": "Universit\u00e0 degli Studi di Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "07f47b063577afc98c6717d6bb046fe72aa75b12", "title": "Online multiperson tracking with occlusion reasoning and unsupervised track motion model", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636613"]}, {"id": "184c3e66a746376716d5e816d95e1a7cb8e04390", "title": "Unsupervised learning of a scene-specific coarse gaze estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "https://media.adelaide.edu.au/acvt/Publications/2011/2011-Unsupervised%20Learning%20of%20a%20Scene-Specific%20Coarse%20Gaze%20Estimator.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126516", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126516", "http://doi.org/10.1109/ICCV.2011.6126516"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "b28eb219db9370cf20063288225cc2f3e6e5f984", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410584", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.227", "http://doi.org/10.1109/ICCV.2015.227"]}, {"id": "f34bc8a28f71be31371b1af0ddc3d1227e33281f", "title": "Robust tracking algorithm with designed marker for limited-power computer", "addresses": [{"name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "source_name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "street_adddress": "3 Thanon Chalong Krung, Khwaeng Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.72699780", "lng": "100.77638460", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7440529"]}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "5d1365b1cb7d51336402d546e1b7640f345757fc", "title": "Runtime Verification for Stream Processing Applications", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d13/65b1cb7d51336402d546e1b7640f345757fc.pdf"], "doi": []}, {"id": "20100323ec5c32ae91add8e866d891a78f1a2bbe", "title": "Unsupervised Object Discovery and Tracking in Video Collections", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.03825.pdf"], "doi": []}, {"id": "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "title": "Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "source_name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "street_adddress": "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "lat": "57.71720040", "lng": "11.92185580", "type": "company", "country": "Sweden"}], "year": "2018", "pdf": ["http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1077-3"]}, {"id": "6749db5ae9547d5fe0fb4c743c631eb5bac69d37", "title": "An adaptive clustering approach for group detection in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314181", "http://doi.org/10.1109/IWSSIP.2015.7314181"]}, {"id": "b17b20c3a3804482a1af3be897758d4f3be26677", "title": "Self-calibrating 3D context for retrieving people with luggage", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.multimedia-computing.de/mediawiki//images/3/35/ICCV_Workshop2011.pdf", "http://www.multimedia-computing.de/mediawiki/images/3/35/ICCV_Workshop2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130483", "http://doi.org/10.1109/ICCVW.2011.6130483"]}, {"id": "5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a", "title": "Constant-time monocular object detection using scene geometry", "addresses": [{"name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "source_name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "street_adddress": "Mikeletegi Pasealekua, 57, Parque Tecnol\u00f3gico de San Sebasti\u00e1n, 20009 Donostia, Gipuzkoa, Spain", "lat": "43.29223900", "lng": "-1.98569200", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-017-0625-8"]}, {"id": "32cd02519928aa91dca18074778a59b2cba19765", "title": "Forecasting crowd dynamics through coarse-grained data analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d29/8ae96e778c6582938476b010f52e0791a46d.pdf"], "doi": []}, {"id": "4ab31fc841890b90d66c30ed2f694a0597f0a081", "title": "Matching heads of multiple people in multiple camera networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628512", "http://doi.org/10.1109/ROMAN.2013.6628512"]}, {"id": "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses", "addresses": [{"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00652.pdf"], "doi": []}, {"id": "6725b986c81964414c39050e0ced11843cc0cbaa", "title": "Modeling crowd dynamics through coarse-grained data analysis.", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6725/b986c81964414c39050e0ced11843cc0cbaa.pdf"], "doi": []}, {"id": "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "title": "\"Seeing is Believing\": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354238", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00134", "http://doi.org/10.1109/WACV.2018.00134"]}, {"id": "fa5aca45965e312362d2d75a69312a0678fdf5d7", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf"], "doi": []}, {"id": "5369b021f2abf5daa77fa5602569bb3b8bb18546", "title": "GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_GMMCP_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299036", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299036", "http://doi.org/10.1109/CVPR.2015.7299036"]}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "224547337e1ace6411a69c2e06ce538bc67923f7", "title": "Convolutional Neural Network for Camera Pose Estimation from Object Detections", "addresses": [{"name": "Faculty of Computer Science, Moscow, Russia", "source_name": "Faculty of Computer Science, Moscow, Russia", "street_adddress": "Kochnovskiy Proyezd, 3, Moskva, Russia, 125319", "lat": "55.80671040", "lng": "37.54163810", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf"], "doi": []}, {"id": "d16e7650a6137f34342c1372ecc36a00eb3643d1", "title": "Patterns of renal disease in Cape Town South Africa: a 10-year review of a single-centre renal biopsy database.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/d16e/7650a6137f34342c1372ecc36a00eb3643d1.pdf"], "doi": []}, {"id": "3ad48edfc0b1debd8d327e4dadaa30324b0c2d7b", "title": "The \u2018Masai \u2019andmiraa: public authority, vigilance and criminality in a Ugandan border town*", "addresses": [{"name": "University of Antwerp", "source_name": "University of Antwerp, Wilrijk, Belgium", "street_adddress": "Prinsstraat 13, 2000 Antwerpen, Belgium", "lat": "51.22280970", "lng": "4.41023180", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ad4/8edfc0b1debd8d327e4dadaa30324b0c2d7b.pdf"], "doi": []}, {"id": "38b36e0f7e3a68aaad458a5f82454ac4804bd97c", "title": "Comparative experimental application of alternative travel diaries in Cape Town and Dar es Salaam", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/38b3/6e0f7e3a68aaad458a5f82454ac4804bd97c.pdf"], "doi": []}, {"id": "df18854e23161ea2c6675aff37278f0dd17dd026", "title": "Does investment in the built fabric of historic towns drive economic recovery", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/df18/854e23161ea2c6675aff37278f0dd17dd026.pdf"], "doi": []}, {"id": "818bbe4a50840c5971f94342a760fc0d9c67c376", "title": "Estimates of CO2 fluxes over the City of Cape Town, South Africa, through Bayesian inverse modelling", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/95d7/0ae92c37d5198c0759a2d80bba0c07251596.pdf"], "doi": []}, {"id": "63c6508f118b13ba63ec79e768993d866ac9c5fd", "title": "Structures of hosting in a south-western Chinese town", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/63c6/508f118b13ba63ec79e768993d866ac9c5fd.pdf"], "doi": []}, {"id": "f2dd55304aa998e578d8af0c6bd873c121f676be", "title": "The changing profile of pediatric meningitis at a referral centre in Cape Town, South Africa.", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f2dd/55304aa998e578d8af0c6bd873c121f676be.pdf"], "doi": []}, {"id": "f5148d387860b31a4262cc19ae121668ace3f1f1", "title": "A Photo-Based Environmental History of the Use of Climbing Plants in Central Oxford, UK", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f514/8d387860b31a4262cc19ae121668ace3f1f1.pdf"], "doi": []}, {"id": "1c27031daf9429cfe5db1bdd833fff1db911d686", "title": "Tourism Development: Issues for Historic Walled Towns", "addresses": [{"name": "University of the West of England", "source_name": "Machine Vision Laboratory, University of the West of England, Bristol, UK", "street_adddress": "Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK", "lat": "51.50152270", "lng": "-2.54807570", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/1c27/031daf9429cfe5db1bdd833fff1db911d686.pdf"], "doi": []}, {"id": "dd3f22363bc575ccfbed69b0fd2acaf1b758a7ba", "title": "\u201c The Boys Are Coming to Town \u201d : Youth , Armed Conflict and Urban Violence in Developing Countries", "addresses": [{"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}, {"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/dd3f/22363bc575ccfbed69b0fd2acaf1b758a7ba.pdf"], "doi": []}, {"id": "5eeb63e82794df62772d4bd42d448f0d46bfcf91", "title": "Patient Satisfaction with a Pilot Chronic Pain Management Programme in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5eeb/63e82794df62772d4bd42d448f0d46bfcf91.pdf"], "doi": []}, {"id": "a1428468de3a243f16c4886fd0af181b6e7a8fdd", "title": "Temporal trends in TB notification rates during ART scale-up in Cape Town: an ecological analysis", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7173/b416f24b935e9f172ceb2ab91e2caf1cbe7a.pdf"], "doi": []}, {"id": "d9e0787e31c35a148c4a63b50b395222c54f74b3", "title": "Outcome of patients with membranous lupus nephritis in Cape Town South Africa.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d9e0/787e31c35a148c4a63b50b395222c54f74b3.pdf"], "doi": []}, {"id": "174a07fdd63cd03970aaba903cab6c5f28344ad6", "title": "The introductory astronomy course at the University of Cape Town: probing student perspectives", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.2363.pdf"], "doi": []}, {"id": "dcb69bd155d4ad20d78e9bbba5c7f5c86a6b31c5", "title": "Compositional changes in spider (araneae) assemblages along an urbanisation gradient near a danish town", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dcb6/9bd155d4ad20d78e9bbba5c7f5c86a6b31c5.pdf"], "doi": []}, {"id": "aedc5eb7d7a52da0e99f65f07ef5119d0398a244", "title": "3 \u201c WHERE WERE THEY UNTIL NOW ? \u201d Aging , Care and Abandonment in a Bosnian Town", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aedc/5eb7d7a52da0e99f65f07ef5119d0398a244.pdf"], "doi": []}, {"id": "a677e7a8ab975f8742a8c352449d6b2a79d64e70", "title": "Internet and Online Media Usage on Mobile Phones among Low-Income Urban Youth in Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/a677/e7a8ab975f8742a8c352449d6b2a79d64e70.pdf"], "doi": []}, {"id": "4221f6f9a1e0259dceffa2bfc85ba8dc995a43ee", "title": "Little Knowledge Rules the Web: Domain-Centric Result Page Extraction", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://christian.schallhart.net/publications/2011--rr--little-knowledge-rules-the-web-domain-centric-result-page-extraction.pdf", "http://www.orsigiorgio.net/wp-content/papercite-data/pdf/fgg*11b.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23580-1_6"]}, {"id": "a7a2835ad6ed4d3db275e3c8923915ae712544be", "title": "Multiple supermassive black hole systems: SKA\u2019s future leading role", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.01238.pdf"], "doi": []}, {"id": "b3ed1ade56553d3b531bc08d7c40c2962260f96a", "title": "Epidemiology of HIV-1 subtypes among men who have sex with men in Cape Town, South Africa.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b3ed/1ade56553d3b531bc08d7c40c2962260f96a.pdf"], "doi": []}, {"id": "c9c4a3108f201fa51ce2a25c85aea59fbc733d81", "title": "The aquatic macroinvertebrate biodiversity of urban ponds in a medium-sized European town (Loughborough, UK)", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/18381/1/Hill%20et%20al%202015.pdf"], "doi": ["https://doi.org/10.1007/s10750-015-2328-8"]}, {"id": "4b6e23c5f2a09d20463fb715cbf5cb5ad922dbaf", "title": "WILL \"DISTRICT HEATING COME TO TOWN\"? ANALYSIS OF CURRENT OPPORTUNITIES AND CHALLENGES IN THE UK", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/4b6e/23c5f2a09d20463fb715cbf5cb5ad922dbaf.pdf"], "doi": []}, {"id": "e2f7fb3fd5b62896213ad0b631df5d1941140957", "title": "Out on the town: A socio-physical approach to the design of a context-aware urban guide", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1534904"]}, {"id": "68df2e24423d80d2d3e37d8e1707501b4cf84b5f", "title": "Design of a solar energy centre for providing lighting and income-generating activities for off-grid rural communities in Kenya", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/85496.pdf", "https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/27616/3/Kenya.pdf"], "doi": ["https://doi.org/10.1016/j.renene.2017.11.053"]}, {"id": "907d179b7721ba5c7638c9b470b495bec919f54a", "title": "Probing primordial non-Gaussianity via iSW measurements with SKA continuum surveys", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "University of the Western Cape", "source_name": "University of the Western Cape", "street_adddress": "University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa", "lat": "-33.93277620", "lng": "18.62915407", "type": "edu", "country": "South Africa"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.0010.pdf"], "doi": []}, {"id": "4d3cc73e7303b74fc03b8327b144bf77674cd751", "title": "Survival from breast cancer: an analysis of Australian data by surgeon case load, treatment centre location, and health insurance status.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d3c/c73e7303b74fc03b8327b144bf77674cd751.pdf"], "doi": []}, {"id": "93777edf3169320a76909d8d8968d3656a2cc5a0", "title": "High levels of vulnerability and anticipated stigma reduce the impetus for tuberculosis diagnosis in Cape Town, South Africa.", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9377/7edf3169320a76909d8d8968d3656a2cc5a0.pdf"], "doi": []}, {"id": "fe38273f0aae5b572b126e72f81a238931aba758", "title": "Sexualising the sacred, sacralising sexuality: An analysis of public responses to Muslim women's religious leadership in the context of a Cape Town mosque", "addresses": [{"name": "University of KwaZulu-Natal", "source_name": "University of KwaZulu-Natal", "street_adddress": "238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa", "lat": "-29.86742190", "lng": "30.98072720", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fe38/273f0aae5b572b126e72f81a238931aba758.pdf"], "doi": []}, {"id": "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "title": "Learning Deep Features for Scene Recognition using Places Database", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e487/7221c3fd1afb6570c8ac22d909c8c559c572.pdf"], "doi": []}, {"id": "b5ce7b2954cf36f201f633385eb2da8e18afd87b", "title": "Caregivers' Experiences of Pathways to Care for Seriously Ill Children in Cape Town, South Africa: A Qualitative Investigation.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b5ce/7b2954cf36f201f633385eb2da8e18afd87b.pdf"], "doi": []}, {"id": "af2f131f90f9aa282a7368f05efc1d5d8b55fc87", "title": "Affecting relations : domesticating the internet in a south-western Chinese town", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af2f/131f90f9aa282a7368f05efc1d5d8b55fc87.pdf"], "doi": []}, {"id": "fb8a0e4c9c104bf80739fc21df967562e2ed9588", "title": "NEOLIBERALISM AND MEGA-EVENT SECURITY LEGACIES: THE 2010 FIFA WORLD CUP, CAPE TOWN, SOUTH AFRICA", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb8a/0e4c9c104bf80739fc21df967562e2ed9588.pdf"], "doi": []}, {"id": "16eb7cefb612ca66c6b3d936b60d0a5f4947b1f4", "title": "Araport: the Arabidopsis Information Portal", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/16eb/7cefb612ca66c6b3d936b60d0a5f4947b1f4.pdf"], "doi": []}, {"id": "986c25cd9de882fc528ab569973673479182a0c9", "title": "Pancreatic injuries after blunt abdominal trauma: an analysis of 110 patients treated at a level 1 trauma centre.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9679/948f201ca0eabc3ba6f62db5d8c82ccda90b.pdf"], "doi": []}, {"id": "0ff09c7dc049c2f704395ab1dbaabacf2b0e3dea", "title": "Competition and Innovation : An inverted-U relationship using Japanese industry data", "addresses": [{"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0ff0/9c7dc049c2f704395ab1dbaabacf2b0e3dea.pdf"], "doi": []}, {"id": "b3d8924e1bff63d0b91a8c4845df4a30529f947b", "title": "Measuring redshift-space distortion with future SKA surveys", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of the Western Cape", "source_name": "University of the Western Cape", "street_adddress": "University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa", "lat": "-33.93277620", "lng": "18.62915407", "type": "edu", "country": "South Africa"}, {"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.03821.pdf"], "doi": []}, {"id": "0e41075d57b9fbf205cd1759dbfdaf5bf05f55aa", "title": "The prevalence and characteristics of sexting behaviours among adolescents and adults in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e41/075d57b9fbf205cd1759dbfdaf5bf05f55aa.pdf"], "doi": []}, {"id": "4e84781d13bda58e7e38a5dd1f0ac36acc9f80a5", "title": "Concentration of Air Pollutants During Working and Non-Working Days in the Kuala Lumpur City Centre, Malaysia", "addresses": [{"name": "Universiti Kebangsaan Malaysia", "source_name": "Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.92999700", "lng": "101.77742250", "type": "edu", "country": "Malaysia"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e84/781d13bda58e7e38a5dd1f0ac36acc9f80a5.pdf"], "doi": []}, {"id": "4dbaf3e94aa8b4149de2bf2a6ce3fe894adf4dc3", "title": "Agricultural Transparency: Reconnecting Urban Centres With Food Production", "addresses": [{"name": "Dalhousie University", "source_name": "Dalhousie University, Halifax, NS, Canada", "street_adddress": "6299 South St, Halifax, NS B3H 4R2, Canada", "lat": "44.63658120", "lng": "-63.59165550", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4dba/f3e94aa8b4149de2bf2a6ce3fe894adf4dc3.pdf"], "doi": []}, {"id": "2f5148f95049012a1116a187a99cbd24fa409f6c", "title": "Auxin and cytokinin control formation of the quiescent centre in the adventitious root apex of arabidopsis", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2f51/48f95049012a1116a187a99cbd24fa409f6c.pdf"], "doi": []}, {"id": "3ffa6531795dab7c732e61c712ae447b975b62c2", "title": "Return and Reintegration of Minority Refugees : The Complexity of the Serbian Returnees Experiences in the Town of Glina", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ffa/6531795dab7c732e61c712ae447b975b62c2.pdf"], "doi": []}, {"id": "c40ef62409eaeaaabbfb9f1f5399722f99697b22", "title": "Making academic OER easy: Reflections on technology and openness at Oxford University", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c40e/f62409eaeaaabbfb9f1f5399722f99697b22.pdf"], "doi": []}, {"id": "ff33c99c6e4862f70116b648afbbf6ec05668d20", "title": "Fine aggregate resources in the greater Cape Town area", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ff33/c99c6e4862f70116b648afbbf6ec05668d20.pdf"], "doi": []}, {"id": "41bfe00f9d99cacb68c033ae024c7a5987873501", "title": "A town called eco: What notions of sustainable development do the government's proposed eco-towns embody?", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/41bf/e00f9d99cacb68c033ae024c7a5987873501.pdf"], "doi": []}, {"id": "408335ce2fdc622a97005027781183337117d4e4", "title": "Prevalence of chronic kidney disease and association with cardiovascular risk factors among teachers in Cape Town, South Africa", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4083/35ce2fdc622a97005027781183337117d4e4.pdf"], "doi": []}, {"id": "7426b4a618aadb2539f8bc0eb76ce4e1c18219cb", "title": "Community Technology Centres in Regional New South Wales: A Knowledge Based Analysis of ICT Enabled Development", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/7426/b4a618aadb2539f8bc0eb76ce4e1c18219cb.pdf"], "doi": []}, {"id": "a9627e7b43c8086a6533b07635a440c6d8fad77c", "title": "Radio monitoring of the hard state jets in the 2011 outburst of MAXI J1836 194", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "New York University Abu Dhabi", "source_name": "NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "edu", "country": "United Arab Emirates"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.08634.pdf"], "doi": []}, {"id": "339fc645f16ff35472b11f67fd068098d208ed04", "title": "HIV transmission risk behaviours among HIV seropositive sexually transmitted infection clinic patients in Cape Town, South Africa.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/339f/c645f16ff35472b11f67fd068098d208ed04.pdf"], "doi": []}, {"id": "6e1a1c7cf6534387c26e9c04f03d51507a3164b3", "title": "Effects of diversity of green infrastructure network to well-being of residents in a small town", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6e1a/1c7cf6534387c26e9c04f03d51507a3164b3.pdf"], "doi": []}, {"id": "2dc7a1b471999771af33af8057158040b96f34c9", "title": "Religious competition, Creole identities, and economic development : foundations of competitive diversity in early Victorian Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2dc7/a1b471999771af33af8057158040b96f34c9.pdf"], "doi": []}, {"id": "42c7e2bedaa79ae475dc597b92f1d99b0cb797f1", "title": "A Season in Town: Plantation Women and the Urban South, 1790-1877", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/42c7/e2bedaa79ae475dc597b92f1d99b0cb797f1.pdf"], "doi": []}, {"id": "738128006c1bc172b06aa8951d2d09e8d2655873", "title": "Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7381/28006c1bc172b06aa8951d2d09e8d2655873.pdf"], "doi": []}, {"id": "9e0d708a5b2ba890af359309c7649d833120eb71", "title": "TOILETS AT LAST - PERCEPTIONS OF THE USERS OF 'PORTA POTTY' TOILETS IN JIM SE BOS INFORMAL SETTLEMENT IN PHILLIPI, CAPE TOWN", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e0d/708a5b2ba890af359309c7649d833120eb71.pdf"], "doi": []}, {"id": "2fdfe539a131ab29abfc92042b41a9078f995022", "title": "Towards people-centred health systems: a multi-level framework for analysing primary health care governance in low- and middle-income countries", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3f23/85ae8486a26f8584ea7f20a7111fa7abe9fa.pdf"], "doi": []}, {"id": "0900470e632f03a735c7b3a8b4fbc18ef28ffd60", "title": "Association between socioeconomic status and renal function in a population of German patients with diabetic nephropathy treated at a tertiary centre.", "addresses": [{"name": "University of Jena", "source_name": "Computer Vision Group, University of Jena, Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0900/470e632f03a735c7b3a8b4fbc18ef28ffd60.pdf"], "doi": []}, {"id": "ed3e117b49892011f1dcca0a4c6e385a2d93e303", "title": "Optical and microwave control of germanium-vacancy center spins in diamond", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02947.pdf"], "doi": []}, {"id": "037d0354af8f8d48714f1dd5a39863dca25789fa", "title": "Current Lexicography Practice in Bantu with Specific Reference to the Oxford Northern Sotho School Dictionary", "addresses": [{"name": "University of Pretoria", "source_name": "University of Pretoria, Pretoria, South Africa", "street_adddress": "Lynnwood Rd, Hatfield, Pretoria, 0002, South Africa", "lat": "-25.75454920", "lng": "28.23144760", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/037d/0354af8f8d48714f1dd5a39863dca25789fa.pdf"], "doi": []}, {"id": "1fe56e223082476450b8499540656e8b2f73ad65", "title": "Poverty and psychological health among AIDS-orphaned children in Cape Town, South Africa.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/dde2/611bcecd069aaa461850907f46f84b37f585.pdf"], "doi": []}, {"id": "949cc86fb1ae776cb0a8c22df76b2dbcb0bc03e4", "title": "Immunohematopoietic stem cell transplantation in Cape Town: a ten-year outcome analysis in adults.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://core.ac.uk/download/pdf/82095631.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20118055", "https://doi.org/10.1016/S1658-3876%2809%2950020-9"]}, {"id": "c54e8963d9a3c72858507819b8e22b07ad34eb44", "title": "Vacuum-induced Autler-Townes splitting in a superconducting artificial atom", "addresses": [{"name": "Hunan Normal University", "source_name": "College of Engineering and Design, Hunan Normal University, Changsha, 410081", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tokyo University of Science", "source_name": "Tokyo University of Science, Tokyo, Japan", "street_adddress": "Japan, \u3012162-0825 \u6771\u4eac\u90fd\u65b0\u5bbf\u533a\u795e\u697d\u5742\uff11\u4e01\u76ee\uff13", "lat": "35.69939900", "lng": "139.74139800", "type": "edu", "country": "Japan"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11118.pdf"], "doi": []}, {"id": "aa7ebc28a8ea4b803fca021569a0240cd12a6a7e", "title": "User Centered Design Methods must also be User Centered: A Single Voice from the Field. A Study of User Centered Design in Practice", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aa7e/bc28a8ea4b803fca021569a0240cd12a6a7e.pdf"], "doi": []}, {"id": "713bada3c1b324077e34059e11ee155349301361", "title": "A large and persistent carbon sink in the world's forests.", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/57a5/fbdac3d0489152a0c2822f6b8f510a05042a.pdf"], "doi": []}, {"id": "61e0d1042c9456ee9cb819a2408e6c217ddee90c", "title": "Initiating mobile phone technology using QR Codes to access library services at the University of Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/61e0/d1042c9456ee9cb819a2408e6c217ddee90c.pdf"], "doi": []}, {"id": "df0a6f274d9f58d7d3a69d659f0fa47bc96b0229", "title": "Going to town: Visualized perspectives and navigation through virtual environments", "addresses": [{"name": "Tufts University", "source_name": "Tufts University, Medford, MA, USA", "street_adddress": "419 Boston Ave, Medford, MA 02155, USA", "lat": "42.40748430", "lng": "-71.11902320", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://ase.tufts.edu/psychology/spacelab/pubs/TBrunye_CiHB.pdf", "https://a4d1f174-a-62cb3a1a-s-sites.googlegroups.com/site/agardony/TBrunye_CiHB.pdf?attachauth=ANoY7cqDrALTtCKVdCI_Cidn_c6duBh59L8Xiz_sIFcO0v1nx2IcO8cO2OMFRS82pLEtCz4S0ubkYpMeY1IaD5lDU7nT5WH6lHJcyid7L1c--bVm7YjsclXY-zbSZAfAybeljNtE4XJdqp7ts1BKgmpy7hL_9POSDlS1TSKzFpPn76UZW_DEM-15FFCgyulbVOnTGajI_1AjSmYNEKGgehRFj5e8Tu5ryg%3D%3D&attredirects=0"], "doi": ["https://doi.org/10.1016/j.chb.2011.09.008"]}, {"id": "0de633523504718f103669721a081bd5b1c16223", "title": "Language choice and sexual communication among Xhosa speakers in Cape Town, South Africa: implications for HIV prevention message development.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0de6/33523504718f103669721a081bd5b1c16223.pdf"], "doi": []}, {"id": "a806ebd842f271bcb13f3ef30420298b996b79f5", "title": "Fine structure of the isovector giant dipole resonance in Pb 208: Characteristic scales and level densities", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "Western Michigan University", "source_name": "Western Michigan University, USA", "street_adddress": "1903 Western Michigan Avenue, Kalamazoo, MI 49008, USA", "lat": "42.28373360", "lng": "-85.61025070", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.7652.pdf"], "doi": []}, {"id": "d15272be626d36c930c87bcbe31042fe44299a56", "title": "Electromagnetically induced transparency and Autler-Townes splitting in superconducting flux quantum circuits", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.7323.pdf"], "doi": []}, {"id": "51e6f15168c8e7c5ce2a649c73867466661c543e", "title": "Observation of Autler-Townes effect in a dispersively dressed Jaynes-Cummings System", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1308.2246.pdf"], "doi": []}, {"id": "a0c59936a85736772c432f845a1ea3e1e62892a1", "title": "Qualitative Study on University Towns Health Education among Undergraduate in Chongqing University Town, China", "addresses": [{"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a0c5/9936a85736772c432f845a1ea3e1e62892a1.pdf"], "doi": []}, {"id": "31df0cfc0be5e5650a374784635ea9cea7e27dcc", "title": "Pedestrian Planning in City Centers: a Study of Guimar\u00e3es and Braga", "addresses": [{"name": "University of Minho", "source_name": "R&D Centre Algoritmi, University of Minho, Portugal", "street_adddress": "R. da Universidade, 4710-057 Braga, Portugal", "lat": "41.56073190", "lng": "-8.39623680", "type": "edu", "country": "Portugal"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/31df/0cfc0be5e5650a374784635ea9cea7e27dcc.pdf"], "doi": []}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "a48d4487659ad4d0ab83c0537f3af0ab2fb4d03f", "title": "Cohort Profile: African Collaborative Center for Microbiome and Genomics Research\u2019s (ACCME's) Human Papillomavirus (HPV) and Cervical Cancer Study", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48d/4487659ad4d0ab83c0537f3af0ab2fb4d03f.pdf"], "doi": []}, {"id": "ef0c95b4ffeb7999803140f9f2b8f2c475cc1748", "title": "Trace Interviews: An Actor-Centered Approach", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef0c/95b4ffeb7999803140f9f2b8f2c475cc1748.pdf"], "doi": []}, {"id": "0fbb184871bd7660bc579178848d58beb8288b7d", "title": "Aggregating local descriptors into a compact image representation", "addresses": [{"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540039"]}, {"id": "3adb0668f10db739371381b94bf47f3ae4076aa4", "title": "Impact of the spatial structuring of virtual towns on the navigation strategies of children aged 6 to 15 years old", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3adb/0668f10db739371381b94bf47f3ae4076aa4.pdf"], "doi": []}, {"id": "3f6160adefb7a96864a6e254f29aa188aa1c1f9d", "title": "Deliberative Discourse in the Town Hall Meeting", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f61/60adefb7a96864a6e254f29aa188aa1c1f9d.pdf"], "doi": []}, {"id": "222ef20afbd6c1a729eac5079e8b027a725c9961", "title": "Empirical modified sequential therapy containing levofloxacin and high-dose esomeprazole in second-line therapy for Helicobacter pylori infection: a multicentre clinical trial.", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/222e/f20afbd6c1a729eac5079e8b027a725c9961.pdf"], "doi": []}, {"id": "6875ae579f2b6ce10cfb0a563ab278e6e7cd21c1", "title": "Dynamic electric and magnetic fields in laser-produced high-energy-density plasmas", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6875/ae579f2b6ce10cfb0a563ab278e6e7cd21c1.pdf"], "doi": []}, {"id": "341066f250e2edd7406376d644380699eb658364", "title": "Observations of electromagnetic fields and plasma flow in hohlraums with proton radiography.", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3148/404490eb3626c15361a6976cab9d81a46660.pdf"], "doi": []}, {"id": "e4fa8c7454f48d3bf047ab7ee1859618c4d6babf", "title": "The Deconstruction and Reconstruction of Tourism Image of an Ancient Town: ---Using the Ancient Town of Songkou as a Case Study", "addresses": [{"name": "Minjiang University", "source_name": "Minjiang University, Fuzhou, People\u2019s Republic of China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232189"]}, {"id": "cc964b35672023a17c33a51a13c769491c581f37", "title": "Coherence Properties and Quantum Control of Silicon Vacancy Color Centers in Diamond", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10321.pdf"], "doi": []}, {"id": "82e82699a51b8939c70115ca2ee7b07fc8cae8de", "title": "Conceptual patterns for student-centered computer science education at secondary school level", "addresses": [{"name": "University of Vienna", "source_name": "University of Vienna", "street_adddress": "Uni Wien, 1, Universit\u00e4tsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, \u00d6sterreich", "lat": "48.21313020", "lng": "16.36068653", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2532776"]}, {"id": "1b89a526477f40dc91a98d9c5ca4d017dce7ec99", "title": "Data centers \u2013 threat or possibility to old industrial sites (brownfields) in Nordic countries", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b89/a526477f40dc91a98d9c5ca4d017dce7ec99.pdf"], "doi": []}, {"id": "ca43ff262f67ea13ac93f31849023bee3d9ed836", "title": "Nutrition Smoothing: Can Proximity to Towns and Cities Protect Rural Children against Seasonal Variation in Agroclimatic Conditions at Birth?", "addresses": [{"name": "Tufts University", "source_name": "Tufts University, Medford, MA, USA", "street_adddress": "419 Boston Ave, Medford, MA 02155, USA", "lat": "42.40748430", "lng": "-71.11902320", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ca43/ff262f67ea13ac93f31849023bee3d9ed836.pdf"], "doi": []}, {"id": "66af86391b1c2ce5c7ceff54ef78345629f9572d", "title": "Making Meatville: belonging and migration in a Midwest meatpacking town", "addresses": [{"name": "University of Iowa", "source_name": "University of Iowa", "street_adddress": "University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA", "lat": "41.66590000", "lng": "-91.57310307", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f6d5/ffd742706461af00aed8544942f6f3e4f71a.pdf"], "doi": []}, {"id": "9da6a7c8d7073d4300b40db71681b67ac85fdbf7", "title": "Recreating a Vibrant City Center in Response Urban Environments by Using AHP Model ( Case Study : Qazvin City Historical Context in Iran )", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9da6/a7c8d7073d4300b40db71681b67ac85fdbf7.pdf"], "doi": []}, {"id": "a1abede8f0751f117ef42fe8669c0604c5ee4d0d", "title": "Trophic downgrading of planet Earth.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/65bb/7d78202144915c03953d50834ae20767722a.pdf"], "doi": []}, {"id": "0f9e0503347712113fded0c6b1a13bc63c17b922", "title": "Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools.", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f9e/0503347712113fded0c6b1a13bc63c17b922.pdf"], "doi": []}, {"id": "4ee6404c324a09aab0cdeb76395f56b3cf383c7f", "title": "Centers of sustainable co-created products by BoP: Development inspired by social entrepreneurs", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4ee6/404c324a09aab0cdeb76395f56b3cf383c7f.pdf"], "doi": []}, {"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "title": "The Pascal Visual Object Classes (VOC) Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, {"id": "2286602a560b0388ca002f7188ab10f2eecbd6d7", "title": "Stone tools from the ancient Tongan state reveal prehistoric interaction centers in the Central Pacific.", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2286/602a560b0388ca002f7188ab10f2eecbd6d7.pdf"], "doi": []}, {"id": "e0ee8a77119cc271f65d56ba5634bc13fa4b5afe", "title": "ENTREPRENEURIALISM MEETS THE SUSTAINABLE CITY: THE CASE OF LEXINGTON\u2019S TOWN BRANCH COMMONS", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ee/8a77119cc271f65d56ba5634bc13fa4b5afe.pdf"], "doi": []}, {"id": "57107fb094067f2c297e841a748d1b2662b8e8a4", "title": "Lorentz mapping of magnetic fields in hot dense plasmas.", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3179/43e39fba35cfb0cbe0488faa609a4d3e0cba.pdf"], "doi": []}, {"id": "6431476d45fb97a4aeb5c1ec82425ddb15de1180", "title": "Neuronal Plasticity and Multisensory Integration in Filial Imprinting", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6431/476d45fb97a4aeb5c1ec82425ddb15de1180.pdf"], "doi": []}, {"id": "23878dceae9115914879f239c2fd0e180c391c0d", "title": "Narrowing the Gap : Between the African-centered and Postmodernist Interpretations of Pan-Africanism in Contemporary Black-Atlantic Studies", "addresses": [{"name": "Kent State University", "source_name": "Kent State University", "street_adddress": "Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA", "lat": "41.14435250", "lng": "-81.33982833", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2387/8dceae9115914879f239c2fd0e180c391c0d.pdf"], "doi": []}, {"id": "1cdb75e76d247f706cf8ce1f227d3a7536a0a4af", "title": "Proposition of a Geotechnical Mapping Based on Artificial Neural Networks for the Town of Caucaia , Cear\u00e1 , Brazil for Paving Purposes", "addresses": [{"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cdb/75e76d247f706cf8ce1f227d3a7536a0a4af.pdf"], "doi": []}, {"id": "35ac0ca19c295dfca77bda36c9039d1282a46326", "title": "Best practices in family-centered early intervention for children who are deaf or hard of hearing: an international consensus statement.", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9d6a/d86deff54627339e0efa99108d97a7b57aef.pdf"], "doi": []}, {"id": "1b1dddff688fe7a19a228784866208d7ccf6b560", "title": "Mending a fractured landscape: balancing culture and nature in the vanishing mill town of Daniels, Maryland", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1b1d/ddff688fe7a19a228784866208d7ccf6b560.pdf"], "doi": []}, {"id": "371ffb63b0d93ae8418ab6d78d08867e6a48cd21", "title": "Decoherence, Autler-Townes effect, and dark states in two-tone driving of a three-level superconducting system", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://arxiv.org/pdf/1103.2223.pdf"], "doi": []}, {"id": "d737c2a0f9777feb52bfb90a84de6425a20a1bc0", "title": "Place-based education at the River Valley Outdoor Learning Center: Four students' stories", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d737/c2a0f9777feb52bfb90a84de6425a20a1bc0.pdf"], "doi": []}, {"id": "024a454de23682a2006e23e8fd9a2ad34cb9da60", "title": "Over Growth: a metabolic densification of Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/024a/454de23682a2006e23e8fd9a2ad34cb9da60.pdf"], "doi": []}, {"id": "94e4e972a39333c6662e71a828b89074b283049d", "title": "Japanese media tourism as world-building: Akihabara\u2019s Electric Town and Ikebukuro\u2019s Maiden Road", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/94e4/e972a39333c6662e71a828b89074b283049d.pdf"], "doi": []}, {"id": "4bca8c72696ad703fa913bf50fadf342cb35126e", "title": "Exploring Intravaginal Ring Acceptability for Disease Prevention Among At-Risk Community Members in Cape Town", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bca/8c72696ad703fa913bf50fadf342cb35126e.pdf"], "doi": []}, {"id": "7c3f1879d91be898e1344e1d9c5ad7dd7846b6a6", "title": "Contesting Race in YouTube \u2019 s K-Town : \u201c It \u2019 s white people in Asian disguises \u201d", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7c3f/1879d91be898e1344e1d9c5ad7dd7846b6a6.pdf"], "doi": []}, {"id": "de19c7ed09ef4b6ad79b582346afe14c36121553", "title": "Saskatchewan Town Hall Opera Houses and Community Performance (ca. 1883-1913)", "addresses": [{"name": "University of Regina", "source_name": "University of Regina, Regina, Canada", "street_adddress": "3737 Wascana Pkwy, Regina, SK S4S 0A2, Canada", "lat": "50.41549260", "lng": "-104.58851280", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/de19/c7ed09ef4b6ad79b582346afe14c36121553.pdf"], "doi": []}, {"id": "e714e831034f041926d02c5c23bc8d3d55b583bf", "title": "Crime, fear of crime and social order in a post-war British new town : a humanistic contribution to environmental criminology", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/e714/e831034f041926d02c5c23bc8d3d55b583bf.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/pipa.json b/site/datasets/citations/pipa.json index 845b16f5..320a252a 100644 --- a/site/datasets/citations/pipa.json +++ b/site/datasets/citations/pipa.json @@ -1 +1 @@ -{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "paper": {"key": "pipa", "name": "PIPA", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "year": "2015", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}]}, "citations": [{"id": "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "title": "A Domain Based Approach to Social Relation Recognition", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06456.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "b68150bfdec373ed8e025f448b7a3485c16e3201", "title": "Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09471.pdf"], "doi": []}, {"id": "8886b21f97c114a23b24dc7025bbf42885adc3a7", "title": "Privacy protection performance of De-identified face images with and without background", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://researchprofiles.herts.ac.uk/portal/files/10195320/UH_eval_deid_face_final.pdf", "https://uhra.herts.ac.uk/bitstream/handle/2299/20286/meng_et_al2.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522350", "http://doi.org/10.1109/MIPRO.2016.7522350"]}, {"id": "5f771fed91c8e4b666489ba2384d0705bcf75030", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03287.pdf"], "doi": []}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "title": "A Multi-level Contextual Model for Person Recognition in Photo Albums", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf", "http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_peoplerecognition.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780514", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.145", "http://doi.org/10.1109/CVPR.2016.145"]}, {"id": "6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19", "title": "Understanding Representations and Reducing their Redundancy in Deep Networks", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d8e/ef8f8d6cd8436c55018e6ca5c5907b31ac19.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "title": "A Hybrid Model for Identity Obfuscation by Face Replacement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04779.pdf"], "doi": []}, {"id": "5741454948c92d9d7a59f57772589681cde21943", "title": "Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies", "addresses": [{"name": "Indiana University Bloomington", "source_name": "Indiana University Bloomington", "street_adddress": "Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA", "lat": "39.17720475", "lng": "-86.51540030", "type": "edu", "country": "United States"}, {"name": "Microsoft Research India", "source_name": "Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India", "street_adddress": "9, Vigyan 1st floor, Lavelle Road, Bengaluru, Karnataka 560001, India", "lat": "12.96613000", "lng": "77.59629140", "type": "company", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264899"]}, {"id": "808b685d09912cbef4a009e74e10476304b4cccf", "title": "From Understanding to Controlling Privacy against Automatic Person Recognition in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/808b/685d09912cbef4a009e74e10476304b4cccf.pdf"], "doi": []}, {"id": "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "3c57e28a4eb463d532ea2b0b1ba4b426ead8d9a0", "title": "Defeating Image Obfuscation with Deep Learning", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00408.pdf"], "doi": []}, {"id": "0da75b0d341c8f945fae1da6c77b6ec345f47f2a", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People With Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0da7/5b0d341c8f945fae1da6c77b6ec345f47f2a.pdf"], "doi": []}, {"id": "a13d47bb8e5ebe741a57a6f963941aa638d88872", "title": "Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237660"]}, {"id": "ff1f45bdad41d8b35435098041e009627e60d208", "title": "From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.10442.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "269248eb8a44da5248cef840f7079b1294dbf237", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.01515.pdf"], "doi": []}, {"id": "c8b9217ee36aebb9735e525b718490dc27c8c1cb", "title": "Improving person recognition by weight adaptation of soft biometrics", "addresses": [{"name": "Amirkabir University of Technology (Tehran Polytechnic)", "source_name": "Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}, {"name": "Amirkabir University of Technology, Iran", "source_name": "Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802112"]}, {"id": "eb8a3948c4be0d23eb7326d27f2271be893b3409", "title": "A Probabilistic Approach to People-Centric Photo Selection and Sequencing", "addresses": [{"name": "Amazon, Berkshire, U.K.", "source_name": "Amazon, Berkshire, U.K.", "street_adddress": "Shell Slough East, 85 London Road, Slough SL3 7RS, United Kingdom", "lat": "51.50181500", "lng": "-0.56614500", "type": "company", "country": "United Kingdom"}, {"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Illinois\u2019 Advanced Digital Sciences Center", "source_name": "University of Illinois\u2019 Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914701", "http://doi.org/10.1109/TMM.2017.2699859"]}, {"id": "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "title": "A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab", "addresses": [{"name": "Facebook & Cornell University", "source_name": "Cornell University & Facebook Inc., New York, NY, USA", "street_adddress": "309 Ives Hall, Ithaca, NY 14853, United States", "lat": "42.44726000", "lng": "-76.48098800", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173789"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3d24b386d003bee176a942c26336dbe8f427aadd", "title": "Sequential Person Recognition in Photo Albums with a Recurrent Network", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09967.pdf"], "doi": []}, {"id": "503906ca940fa3b01e39d05879c9b6a36524aaf5", "title": "Natural and Effective Obfuscation by Head Inpainting", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute of Informatics", "source_name": "Max Planck Institute of Informatics and Saarland University", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}, {"name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "source_name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "street_adddress": "Avenue du Bourget 60, 1140 Bruxelles, Belgium", "lat": "50.87848020", "lng": "4.43486240", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578628"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "1451e7b11e66c86104f9391b80d9fb422fb11c01", "title": "Image privacy protection with secure JPEG transmorphing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1451/e7b11e66c86104f9391b80d9fb422fb11c01.pdf"], "doi": []}, {"id": "232f21aa133b75156665175158c65b89bded4032", "title": "Multi-Human Parsing Machines", "addresses": [{"name": "National University of Singapore & SAP Machine Learning", "source_name": "National University of Singapore & SAP Machine Learning, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240515"]}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "3960d8eef886562df7e9eb00e71e48b4a1175721", "title": "An Automated Perceptual Learning Algorithm for Determining Structure-Based Visual Prototypes of Objects from Internet-Scale Data", "addresses": [{"name": "University of California at Los Angeles (UCLA)", "source_name": "University of California at Los Angeles (UCLA), Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt5pk6p9w4/qt5pk6p9w4.pdf?t=nv6y2i"], "doi": ["https://www.base-search.net/Record/d6be1f9ab261433dcdff0e9709b12f47bf9908d0496c9d18b0349d47b04e4dc6"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "addresses": [{"name": "Artificial Intelligence Research Center, National Institute of AIST", "source_name": "Artificial Intelligence Research Center, National Institute of AIST, Japan", "street_adddress": "1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan", "lat": "36.06146340", "lng": "140.13389070", "type": "edu", "country": "Japan"}, {"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}, {"name": "Tsukuba University", "source_name": "Tsukuba University, Tsukuba, Japan", "street_adddress": "1 Chome-\uff11\u2212\uff11 Tennodai, Tsukuba, Ibaraki Prefecture 305-8577, Japan", "lat": "36.10882370", "lng": "140.10365200", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "title": "Inference Attacks Against Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "b64cfb39840969b1c769e336a05a30e7f9efcd61", "title": "CRF-Based Context Modeling for Person Identification in Broadcast Videos", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fde2/b8943eb429d35e649c56ce95658b44c49243.pdf"], "doi": []}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "e5751433d6957f0e807a8685eeb8e6e6c24dd892", "title": "Re-evaluating the health of coral reef communities: baselines and evidence for human impacts across the central Pacific.", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a2c1/d476a5ff96d0199ce6b834204a30a124bddb.pdf"], "doi": []}, {"id": "2a7058a720fa9da4b9b607ea00bfdb63652dff95", "title": "Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/Continuous%20Probability%20Distribution%20Prediction%20of%20Image%20Emotions%20via%20Multitask%20Shared%20Sparse%20Regression.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7590031", "http://doi.org/10.1109/TMM.2016.2617741"]}, {"id": "51eba481dac6b229a7490f650dff7b17ce05df73", "title": "Situation Recognition: Visual Semantic Role Labeling for Image Understanding", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780966"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "0705d00d7a9e1b5059c9cbf6f57caf1e93b63447", "title": "Xenopus in Space and Time: Fossils, Node Calibrations, Tip-Dating, and Paleobiogeography.", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0705/d00d7a9e1b5059c9cbf6f57caf1e93b63447.pdf"], "doi": []}, {"id": "c8a4b38913153611652038a29c8f88ef1ddaa5a7", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1d696a1beb42515ab16f3a9f6f72584a41492a03", "title": "Deeply learned face representations are sparse, selective, and robust", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1265.pdf"], "doi": []}, {"id": "26a6ee00528724c7b61e22cfe90b994523b88d00", "title": "Predicting discrete probability distribution of image emotions", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351244", "http://doi.org/10.1109/ICIP.2015.7351244"]}, {"id": "2e9530adc7f949f36736935bb654d781050e7ab3", "title": "Autonomous Vehicles Require Socio-Political Acceptance\u2014An Empirical and Philosophical Perspective on the Problem of Moral Decision Making", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e95/30adc7f949f36736935bb654d781050e7ab3.pdf"], "doi": []}, {"id": "2b7e18ecfa27cee95dbf8653b18d6d3cdbe80926", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "ccf8cc3b1ead41cbf4fddd77648a2e9538fb747a", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "338781e5236d5caf6254509bfa0f240ecf820872", "title": "Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05046.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "7ebb153704706e457ab57b432793d2b6e5d12592", "title": "Faces in Places: compound query retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf"], "doi": []}, {"id": "2a171f8d14b6b8735001a11c217af9587d095848", "title": "Learning Social Relation Traits from Face Images", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410771"]}, {"id": "75bb50373a11f9a6b058948869ed4c9f48d01a28", "title": "The blue paradox: Preemptive overfishing in marine reserves.", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75bb/50373a11f9a6b058948869ed4c9f48d01a28.pdf"], "doi": []}, {"id": "5cdda7283a03235386cc706f4e6d4ffe9b904d49", "title": "Adapting the Hypercube Model to Archive Deferred Representations and Their Descendants", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05142.pdf"], "doi": []}, {"id": "c8edff7b9eee5ba174a5188436f6f3707f16b7d4", "title": "Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}, {"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329511"]}, {"id": "75d7f05ab38afc0f9f5b59843f716586564bdccf", "title": "Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate", "addresses": [{"name": "Harbin University of Science and Technology", "source_name": "Harbin University of Science and Technology, China", "street_adddress": "52 Xuefu Rd, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150080", "lat": "45.71560600", "lng": "126.61466190", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75d7/f05ab38afc0f9f5b59843f716586564bdccf.pdf"], "doi": []}, {"id": "1b844eb1d8e3dba5a1a312507138007c32519368", "title": "iSyTE 2.0: a database for expression-based gene discovery in the eye", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b84/4eb1d8e3dba5a1a312507138007c32519368.pdf"], "doi": []}, {"id": "2bde99745ed5650cc7c79117d2699da757c66ef9", "title": "Going Dark: Social Factors in Collective Action Against Platform Operators in the Reddit Blackout", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858391"]}, {"id": "68b2c3d2b327c9d3f9a1c742cf805e568a36effc", "title": "Coherent neuronal ensembles are rapidly recruited when making a look-reach decision", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/wong_etal_2016.pdf"], "doi": ["https://doi.org/10.1038/nn.4210", "https://www.ncbi.nlm.nih.gov/pubmed/26752158"]}, {"id": "706e5d4460631f7aaeff7051062e7ca98f364ba3", "title": "Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task.", "addresses": [{"name": "Aix-Marseille Universit\u00e9", "source_name": "Centre de Physiques des Particules de Marseille, Aix-Marseille Universit\u00e9, CNRS/IN2P3, Marseilles, France", "street_adddress": "902, CEDEX, Case, 13288, 163 Avenue de Luminy, 13009 Marseille, France", "lat": "43.23086700", "lng": "5.44110700", "type": "edu", "country": "France"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/706e/5d4460631f7aaeff7051062e7ca98f364ba3.pdf"], "doi": []}, {"id": "416895a0513202bd7fed9eb0f841ca25cf126b19", "title": "Genome evolution in the allotetraploid frog Xenopus laevis", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Hokkaido University", "source_name": "Hokkaido University, Sapporo, Japan", "street_adddress": "5 Chome Kita 8 Jonishi, Kita, Sapporo, Hokkaido 060-0808, Japan", "lat": "43.07795750", "lng": "141.34001300", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}, {"name": "Tokushima University", "source_name": "Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan", "street_adddress": "2 Chome-24 Shinkuracho, Tokushima, Tokushima Prefecture 770-8501, Japan", "lat": "34.07010740", "lng": "134.55979330", "type": "edu", "country": "Japan"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Niigata University", "source_name": "Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan", "street_adddress": "\uff18\uff10\uff15\uff10 Ikarashi 2 Nocho, Nishi Ward, Niigata, Niigata Prefecture 950-2181, Japan", "lat": "37.86770880", "lng": "138.94189770", "type": "edu", "country": "Japan"}, {"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://mcb.berkeley.edu/labs/heald/Publications/PMC5313049.pdf", "http://www.marcottelab.org/users/paper-pdfs/Nature_XenopusGenome_2016.pdf", "http://www.nature.com/nature/journal/v538/n7625/pdf/nature19840.pdf"], "doi": ["https://doi.org/10.1038/nature19840", "https://www.ncbi.nlm.nih.gov/pubmed/27762356"]}, {"id": "3a61bf271578fbe54db27bc8df8d972a4fc69512", "title": "Blood Lead Levels and Cause-Specific Mortality of Inorganic Lead-Exposed Workers in South Korea", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}, {"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a61/bf271578fbe54db27bc8df8d972a4fc69512.pdf"], "doi": []}, {"id": "6a4a6fb44b6945d2bad440d648a6db32316c28e8", "title": "Evaluation of Atmospheric Correction Methods in Identifying Urban Tree Species With WorldView-2 Imagery", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6971089"]}, {"id": "67f0a231480fdfba856d4e0c4dfb162e50b75913", "title": "Information theoretic analysis of proprioceptive encoding during finger flexion in the monkey sensorimotor system", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67f0/a231480fdfba856d4e0c4dfb162e50b75913.pdf"], "doi": []}, {"id": "beb60be20e67d34f0ea76a7584fc76e9f1b32a36", "title": "A 3D multimodal approach to precisely locate DBS electrodes in the basal ganglia brain region", "addresses": [{"name": "University of Porto", "source_name": "University of Porto", "street_adddress": "Pra\u00e7a de Gomes Teixeira, 4099-002 Porto, Portugal", "lat": "41.14654790", "lng": "-8.61569980", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7146617"]}, {"id": "d596196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b", "title": "Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries", "addresses": [{"name": "Universidad Polit\u00e9cnica de Madrid", "source_name": "Group of Biometrics, Biosignals and Security, GB2S, Centro de Dom\u00f3tica Integral, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo. Pozuelo de Alarc\u00f3n, 28223, Madrid", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d596/196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b.pdf"], "doi": []}, {"id": "e5703de5395d28d3186827ca4eba1562e01aa272", "title": "Music identification based on music word model", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177492"]}, {"id": "04dccd10855ef6179f071e5878514e9e4eac4d55", "title": "Virus discovery in all three major lineages of terrestrial arthropods highlights the diversity of single-stranded DNA viruses associated with invertebrates", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "University of Vermont", "source_name": "University of Vermont", "street_adddress": "University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA", "lat": "44.48116865", "lng": "-73.20021790", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d645/4fa1b7e3eab72f0ae1e0e90d4055e1150f80.pdf"], "doi": []}, {"id": "1342e8e9001d704ad16be309116a5ec4851f81af", "title": "Decreased Modulation of EEG Oscillations in High-Functioning Autism during a Motor Control Task", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1342/e8e9001d704ad16be309116a5ec4851f81af.pdf"], "doi": []}, {"id": "c3d2b8856dd2f600680ffbaa98ba9a43b5e6f3bb", "title": "Human papillomavirus dysregulates the cellular apparatus controlling the methylation status of H3K27 in different human cancers to consistently alter gene expression regardless of tissue of origin", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c3d2/b8856dd2f600680ffbaa98ba9a43b5e6f3bb.pdf"], "doi": []}, {"id": "41968ce97d01c86a545da6f2bee1f462a04fa078", "title": "Analysis of Class I Major Histocompatibility Complex Gene Transcription in Human Tumors Caused by Human Papillomavirus Infection", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4196/8ce97d01c86a545da6f2bee1f462a04fa078.pdf"], "doi": []}, {"id": "c9280a577bec62b2ee4579059e504910a2f498ac", "title": "Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material", "addresses": [{"name": "Philipps-Universit\u00e4t Marburg", "source_name": "Philipps-Universit\u00e4t Marburg", "street_adddress": "FB 09 | Germanistik und Kunstwissenschaften (Dekanat), 3, Deutschhausstra\u00dfe, Biegenhausen, Biegenviertel, Marburg, Landkreis Marburg-Biedenkopf, Regierungsbezirk Gie\u00dfen, Hessen, 35037, Deutschland", "lat": "50.81427010", "lng": "8.77143500", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48db/5b7d6377eb3063e3dec93d900e803c07c83d.pdf"], "doi": []}, {"id": "11d0e36b575b3e5128b88fc26913c50f72182728", "title": "HeLa nucleic acid contamination in the cancer genome atlas leads to the misidentification of human papillomavirus 18.", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/11d0/e36b575b3e5128b88fc26913c50f72182728.pdf"], "doi": []}, {"id": "2e0ea7e2d38f95033f154d41285d63364a48cd24", "title": "Tumour virology in the era of high-throughput genomics", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2e0e/a7e2d38f95033f154d41285d63364a48cd24.pdf"], "doi": []}, {"id": "2a9a4cf568114aa9f1158b1f4b1403cf7f4d662a", "title": "Serum CA19-9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: implications for early disease detection.", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2a9a/4cf568114aa9f1158b1f4b1403cf7f4d662a.pdf"], "doi": []}, {"id": "33569dda09bb072a01a99830f7ef0970384c4bcc", "title": "A data science challenge for converting airborne remote sensing data into ecological information", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3356/9dda09bb072a01a99830f7ef0970384c4bcc.pdf"], "doi": []}, {"id": "a5469b4ec610f03367c5c75e3dc5d888f4370880", "title": "Triadobatrachus massinoti, the earliest known lissamphibian (Vertebrata: Tetrapoda) re-examined by \u03bcCT scan, and the evolution of trunk length in batrachians", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b4ebc439d8960f2aa3dcc8dc51bae40c8010.pdf"], "doi": []}, {"id": "8cb4afd7d9f5157772b47acea1a7642512eb23e1", "title": "The Information Network: Exploiting Causal Dependencies in Online Information Seeking", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854974"]}, {"id": "46e262db98c75b25b04b762242ab245cb914a875", "title": "Detection of time delays and directional interactions based on time series from complex dynamical systems.", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/46e2/62db98c75b25b04b762242ab245cb914a875.pdf"], "doi": []}, {"id": "9a7327569ff5e33257de322c9efc1f398fe2403f", "title": "Genetics, Morphology, Advertisement Calls, and Historical Records Distinguish Six New Polyploid Species of African Clawed Frog (Xenopus, Pipidae) from West and Central Africa.", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9a73/27569ff5e33257de322c9efc1f398fe2403f.pdf"], "doi": []}, {"id": "70e6413e2beaecbef06810955cef5d8a78d8d061", "title": "Cohesion, order and information flow in the collective motion of mixed-species shoals", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of New England", "source_name": "University of New England, Armidale, Australia", "street_adddress": "Armidale NSW 2351, Australia", "lat": "-30.48995350", "lng": "151.64101990", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e6/413e2beaecbef06810955cef5d8a78d8d061.pdf"], "doi": []}, {"id": "cd369a556eaadd2ba2b85994d3aae95d3a4e5923", "title": "Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7556386"]}, {"id": "2a55499130ce9984b998865349b9b8fc3104ef96", "title": "Information-Theoretic Evidence for Predictive Coding in the Face-Processing System.", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a55/499130ce9984b998865349b9b8fc3104ef96.pdf"], "doi": []}, {"id": "39ae101c4fd9cb0f8757852bd4804d8869fd2667", "title": "PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462173"]}, {"id": "cfdbedd78a8ecf6ce6b18faddf423477cdfec95d", "title": "PENGUKURAN VISKOSITAS NITROGEN MENGGUNAKAN METODE PIPA KAPILER PADA TEMPERATUR298 SAMPAI 500 K, DAN TEKANAN 5 SAMPAI 100 MPA", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cfdb/edd78a8ecf6ce6b18faddf423477cdfec95d.pdf"], "doi": []}, {"id": "13a8bba40126369f0e8a186834efb281bc65cc05", "title": "Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "f1b28c35819ae7878e3eec07da7d57c6efe45928", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity", "addresses": [{"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03113.pdf"], "doi": []}, {"id": "71ea7b9aa08abc716a593407b1623dc46c3e10ca", "title": "Persistent Memory in Single Node Delay-Coupled Reservoir Computing", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71ea/7b9aa08abc716a593407b1623dc46c3e10ca.pdf"], "doi": []}, {"id": "3e632bb55dd7947d764900dea74953502e8da485", "title": "Assessing Coupling Dynamics from an Ensemble of Time Series", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1008.0539.pdf"], "doi": []}, {"id": "0a526d4b21dde952d8659c046f6d8f511d8b9d9b", "title": "The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811915000804?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2015.01.054", "https://www.ncbi.nlm.nih.gov/pubmed/25680519", "https://www.wikidata.org/entity/Q35286768"]}, {"id": "0798f0433149cf3742267d3439dfbfea2a040427", "title": "A LuxR Homolog in a Cottonwood Tree Endophyte That Activates Gene Expression in Response to a Plant Signal or Specific Peptides", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0798/f0433149cf3742267d3439dfbfea2a040427.pdf"], "doi": []}, {"id": "47784794c88918ce94ba8995019f1f3e38fe791c", "title": "Galacto-Oligosaccharide/Polidextrose Enriched Formula Protects against Respiratory Infections in Infants at High Risk of Atopy: A Randomized Clinical Trial", "addresses": [{"name": "University of Padua", "source_name": "University of Padua, Italy. enrico.grisan@unipd.it", "street_adddress": "Via 8 Febbraio 1848, 2, 35122 Padova PD, Italy", "lat": "45.40676600", "lng": "11.87744620", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4778/4794c88918ce94ba8995019f1f3e38fe791c.pdf"], "doi": []}, {"id": "62c3fb2a12aa4a1697019867ab00ef370a93c34d", "title": "Photonic sensors: From horse racing to horse power", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}, {"name": "Federal University of Technology - Parana", "source_name": "Federal University of Technology - Parana, Brazil", "street_adddress": "R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, Curitiba - PR, 81280-340, Brazil", "lat": "-25.44341230", "lng": "-49.35348310", "type": "edu", "country": "Brazil"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961110"]}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "1b93a123d352ea09b4c8aaac933f1d4c8bd42009", "title": "PlaNet - Photo Geolocation with Convolutional Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.05314.pdf"], "doi": []}, {"id": "4131a42a3a9b60f01cef2d744c7f6debd1d2ee4a", "title": "Multigranular Event Recognition of Personal Photo Albums", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119855"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "f467eb5e7f9d49ab318401f961109882c00f2720", "title": "Face/Off: Preventing Privacy Leakage From Photos in Social Networks", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2813603"]}, {"id": "e7d7761ba516340457488955f3dd5959761bbfd0", "title": "Automatic triage for a photo series", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925908"]}, {"id": "aae1a3fff0da14919848a2a8592cd2f1f8ac495c", "title": "Photo collection contextualization", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169761"]}, {"id": "4556fd9fa338c65c27c7fac3afb8c6186d3807c5", "title": "Mining User Interests from Personal Photos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a47f/c06d1e1f9d0e4da1ad2dfd8c1de762d8b714.pdf"], "doi": []}, {"id": "6e0b1ea97421e080402a8db23358b01c04c905e5", "title": "Personalized Annotation for Mobile Photos Based on User's Social Circle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-27671-7_7"]}, {"id": "8598aadd321752e7e767fc3c608706f9104fd0e0", "title": "Photo annotation: a survey", "addresses": [{"name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "street_adddress": "Av. Colares Moreira, 477 - Jardim Renascenca, S\u00e3o Lu\u00eds - MA, 65075-441, Brazil", "lat": "-2.49930740", "lng": "-44.28597080", "type": "edu", "country": "Brazil"}, {"name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "street_adddress": "Av. Primeiro de Maio, 720 - Jaguaribe, Jo\u00e3o Pessoa - PB, 58015-435, Brazil", "lat": "-7.13564960", "lng": "-34.87390450", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}, {"name": "University of Campina Grande", "source_name": "Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil", "street_adddress": "Rua Apr\u00edgio Veloso, 882 Universit\u00e1rio 58429-900 - Federal University of Campina Grande, PB, Brazil", "lat": "-7.21248510", "lng": "-35.90736510", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4281-6"]}, {"id": "8c194fdcc1596a988ae1d1d501ed9849d200bdd9", "title": "Intelligent organization of multiuser photo galleries using sub-event detection", "addresses": [{"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275347"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "fe33597affd4e99a5dc979ef4ed99ee6311fdc2b", "title": "Hierarchical Photo-Scene Encoder for Album Storytelling", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00669.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "52d88f1bd669e6736bd7ef945d451841f9b9fd78", "title": "Travel photo album summarization based on aesthetic quality, interestingness, and memorableness", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820889"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "bed777206e903cbe92c71808627a3bfed5701f5e", "title": "AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742843"]}, {"id": "ea97d02baaadad2bc7a01f3faad397e28f28d74b", "title": "Abnormal Event Discovery in User Generated Photos", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2975215"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "fa46cc90577f92269fc03bf20ba07c0c91676839", "title": "Learning personalized expectation-oriented photo selection models for personal photo collections", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169813"]}, {"id": "51d2f04db96856d0da974893223d0659a4b53161", "title": "NowAndThen: a social network-based photo recommendation tool supporting reminiscence", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}, {"name": "University of Science", "source_name": "University of Science, Ho Chi Minh city, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3012738"]}, {"id": "78baffa12bbebcd0b615fac80c2df6d3f05c4261", "title": "From Uncertain Photos to Certain Coverage: a Novel Photo Selection Approach to Mobile Crowdsensing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485969"]}, {"id": "4503374b7a8b342d262aef220a4ecf00f8f28fd8", "title": "Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240624"]}, {"id": "b5647cbbfdc7d1ee91a8ec264b200b66afd7b8b2", "title": "A Dataset for Telling the Stories of Social Media Videos", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b564/7cbbfdc7d1ee91a8ec264b200b66afd7b8b2.pdf"], "doi": []}, {"id": "05d082daa3e6f86adeb78b26e8cf07b94b418377", "title": "Photo Selection for Family Album using Deep Neural Networks", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3209697"]}, {"id": "ed9869f749d1f5d0752251c492c3389cf944707b", "title": "Exploring the heterogeneity of social media: dataset and a pilot study", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808568"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d284dd84e5675e33b561f183f22fc817ef113890", "title": "Monet: A System for Reliving Your Memories by Theme-Based Photo Storytelling", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7577751"]}, {"id": "a3b5b2558cf3905bfeba07e1bda3ff87b07d3581", "title": "Event recognition in personal photo collections using hierarchical model and multiple features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340864"]}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "b5dbffb3a07153c5428d7752cb06b545cb083e5f", "title": "All the people around me: Face discovery in egocentric photo-streams", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296500"]}, {"id": "e29ba8930f379245035ff7d33b5693592ee491aa", "title": "Discriminative subgraphs for discovering family photos", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s41095-016-0054-4"]}, {"id": "2257a49262f7d2fa3980dbf1567ca9be728a21ee", "title": "To Keep or not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749372"]}, {"id": "8bc5d06d2a6033ecfb39d373a663bee2b28fee52", "title": "CrowdBuy: Privacy-friendly Image Dataset Purchasing via Crowdsourcing", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485902"]}, {"id": "8db8cb025e30552524738ddfc7db1143e92be06b", "title": "Investigating human behaviors in selecting personal photos to preserve memories", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169750"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "f6e3638e4b3684f40b39c7316c29539b2c0d2357", "title": "RingIt: Ring-Ordering Casual Photos of a Temporal Event", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2735628"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "6f911cb4b7c83baf67d2c262558535d360d37a3d", "title": "Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2788569"]}, {"id": "31317c7956d5841f728364a96a54578e7118a310", "title": "Assisted journey recollections from photo streams: (demo paper)", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996955"]}, {"id": "c370f762968f6379c2cda1e18e71334494aa3b72", "title": "Photo linker: a system for finding your old photos based on fragmentary memories", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808550"]}, {"id": "b8218640e95bb2d925a617b1c3012eed7d209351", "title": "Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/977b/eecdf0b5c3487d03738cff501c79770f0858.pdf"], "doi": []}, {"id": "42b4e10215c58f47bf8917f1a84ed82803bf6ee1", "title": "Are People Really Social in Porn 2.0?", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/80a4/9380102b85b8509bdecbb024f24a5d2d2d42.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "132b44b95cd0bfe4b6a2d4dfeba1858411f0271d", "title": "Mixed-Ability Collaboration for Accessible Photo Sharing", "addresses": [{"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240994"]}, {"id": "4cb852b0893edcf895aeccfb4e03055073777f5e", "title": "Collaborative filtering motivated automatic photo tagging", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8029111"]}, {"id": "70f7bcfe2ce3789e62846c73e98feeaa319135e5", "title": "Learning Deep Contextual Attention Network for Narrative Photo Stream Captioning", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126715"]}, {"id": "b95e1db112a14f4fbf8f3a993f9874abd01e915e", "title": "Photo Squarization by Deep Multi-Operator Retargeting", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240623"]}, {"id": "e334ce0b335cfe9185e9aeaeb851673ae480d186", "title": "Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image Hashing", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123446"]}, {"id": "7dc62564a31cde5f581df4891785708eeec65d2a", "title": "From Same Photo: Cheating on Visual Kinship Challenges", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06200.pdf"], "doi": []}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "77c512cbb832436e1a35ad434e6bb3d763799763", "title": "A Neural Algorithm of Artistic Style", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.06576.pdf"], "doi": []}, {"id": "5287d8fef49b80b8d500583c07e935c7f9798933", "title": "Generative Adversarial Text to Image Synthesis", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05396.pdf"], "doi": []}, {"id": "a16bfc3175ceaced58c81ef52c5dc29ba885a1a4", "title": "Geospatial Access to Lifelogging Photos in Virtual Reality", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210547"]}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e", "title": "Deep Aging Face Verification With Large Gaps", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "North Acton, London", "source_name": "North Acton, London", "street_adddress": "North Acton, Victoria Road, Acton, London Borough of Ealing, London, Greater London, England, W3 6UP, UK", "lat": "51.52344665", "lng": "-0.25973535", "type": "edu", "country": "United Kingdom"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328752", "http://doi.org/10.1109/TMM.2015.2500730"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "101c7bfc56091b627886636afcf1103c1cecccf6", "title": "Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749318"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "11682c651ed0ca264476fa5b2d8c01cf16b365a1", "title": "Weather-to-garment: Weather-oriented clothing recommendation", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019476"]}, {"id": "1d3dd9aba79a53390317ec1e0b7cd742cba43132", "title": "A maximum entropy feature descriptor for age invariant face recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/Gong_A_Maximum_Entropy_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299166", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299166", "http://doi.org/10.1109/CVPR.2015.7299166"]}, {"id": "0086a67895924c5fea6ca59c74c7323a1db97def", "title": "Visual Mementos: Reflecting Memories with Personal Data", "addresses": [{"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7192708"]}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "38eef5352904f7b38e4736c07db175ef93db31b9", "title": "Children Seen But Not Heard: When Parents Compromise Children's Online Privacy", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2741124"]}, {"id": "61bd0aea6a9442a11c0e1e4973d7620b072ad203", "title": "Significance and popularity in music production", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7f78/7cb6cb88a5d5cbebd91b5cdd88f38e859799.pdf"], "doi": []}, {"id": "493dd416b844e84f322ce98c4cb80ee739fea613", "title": "Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069201"]}, {"id": "3e63cc52832039f6d5b004687b2ffbfdfc62a865", "title": "FingerReader: A Wearable Device to Explore Printed Text on the Go", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702421"]}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "2532deb05cc053aa3a6ee3b2c0c2cf518bd3ed72", "title": "Privacy Protection for Preventing Data Over-Collection in Smart City", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Pace University", "source_name": "Pace University, New York, USA", "street_adddress": "1 Pace Plaza, New York, NY 10038, USA", "lat": "40.71111970", "lng": "-74.00485670", "type": "edu", "country": "United States"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7210166"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "0a8214783a262dced7e6c21bc6b02486d86d9250", "title": "Streaming data analytics for anomalies in graphs", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7225259"]}, {"id": "40a4ed38493170fdcd071ce32c1e493743dbc455", "title": "Modeling Perspective Effects in Photographic Composition", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806248"]}, {"id": "591f04d62f44c22d1d82c9e074b066c21b420394", "title": "Learning What and Where to Draw", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02454.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "f63856b44acca90c55d329e6fbfcadc631a6ce6f", "title": "Interactive Trip Planning Using Activity Trajectories", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015030"]}, {"id": "560d04dd444f16ee7ddc81f4bba356a6b2e0ec2c", "title": "Adaptive Greedy Dictionary Selection for Web Media Summarization", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600373"]}, {"id": "f2943bb22c1321cc06c0f65ec4f99ccd8a33363a", "title": "Automatic Discovery and Optimization of Parts for Image Classification", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6598.pdf"], "doi": []}, {"id": "7173a58ce542b8ec0f8a9439a0013bd8c5640c6d", "title": "Farmlands with smaller crop fields have higher within-field biodiversity", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.glel.carleton.ca/PDF/webDump/15FahrigetalAgEcosysEnvir.pdf"], "doi": ["https://doi.org/10.1016/j.agee.2014.11.018"]}, {"id": "62bfdedb87d1fed25eb5aa1bc6ff546c70a0ba6a", "title": "The LDBC Social Network Benchmark: Interactive Workload", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742786"]}, {"id": "b3cff07ea29a9019722c09a89ee969d9ac31329c", "title": "Risk Assessment in Social Networks Based on User Anomalous Behaviors", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430280"]}, {"id": "8a2601bb950665d6d69b0bfda0690537669f2376", "title": "Knowledge Discovery In GIS Data", "addresses": [{"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07241.pdf"], "doi": []}, {"id": "0cb0a2b5dac0972fa6388b2f31f76c89455a10db", "title": "\"I Added '!' at the End to Make It Secure\": Observing Password Creation in the Lab", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0cb0/a2b5dac0972fa6388b2f31f76c89455a10db.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0", "title": "Who Are Your \u201cReal\u201d Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801826", "http://doi.org/10.1109/TMM.2016.2646181"]}, {"id": "843c138978d012e9a683c9595ad4cad9fb02749d", "title": "Translating Videos to Natural Language Using Deep Recurrent Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.4729.pdf"], "doi": []}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "301cbaa07dc2b98baa574a126971b6402dbb91a9", "title": "Camera as weather sensor: Estimating weather information from single images", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://www.cs.ccu.edu.tw/~wtchu/papers/2017JVCI-chu.pdf"], "doi": ["https://doi.org/10.1016/j.jvcir.2017.04.002"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "e5c061593e90adb6c39fd4efe1f802dc5fc1268c", "title": "Deep Learning for Content-Based, Cross-Modal Retrieval of Videos and Music", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e5c0/61593e90adb6c39fd4efe1f802dc5fc1268c.pdf"], "doi": []}, {"id": "f25ec66a87367fbfe59081358eb82f8bab21c8eb", "title": "SnapVideo: Personalized Video Generation for a Sightseeing Trip", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516655"]}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "75a47284526ce7f7a0961e0d8ee611459fac0492", "title": "Has Instagram Fundamentally Altered the 'Family Snapshot'?", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025928"]}]} \ No newline at end of file +{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "paper": {"key": "pipa", "name": "PIPA", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "year": "2015", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}]}, "citations": [{"id": "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "title": "A Domain Based Approach to Social Relation Recognition", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06456.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "b68150bfdec373ed8e025f448b7a3485c16e3201", "title": "Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09471.pdf"], "doi": []}, {"id": "8886b21f97c114a23b24dc7025bbf42885adc3a7", "title": "Privacy protection performance of De-identified face images with and without background", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://researchprofiles.herts.ac.uk/portal/files/10195320/UH_eval_deid_face_final.pdf", "https://uhra.herts.ac.uk/bitstream/handle/2299/20286/meng_et_al2.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522350", "http://doi.org/10.1109/MIPRO.2016.7522350"]}, {"id": "5f771fed91c8e4b666489ba2384d0705bcf75030", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03287.pdf"], "doi": []}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "title": "A Multi-level Contextual Model for Person Recognition in Photo Albums", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf", "http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_peoplerecognition.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780514", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.145", "http://doi.org/10.1109/CVPR.2016.145"]}, {"id": "6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19", "title": "Understanding Representations and Reducing their Redundancy in Deep Networks", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d8e/ef8f8d6cd8436c55018e6ca5c5907b31ac19.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "title": "A Hybrid Model for Identity Obfuscation by Face Replacement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04779.pdf"], "doi": []}, {"id": "5741454948c92d9d7a59f57772589681cde21943", "title": "Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies", "addresses": [{"name": "Indiana University Bloomington", "source_name": "Indiana University Bloomington", "street_adddress": "Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA", "lat": "39.17720475", "lng": "-86.51540030", "type": "edu", "country": "United States"}, {"name": "Microsoft Research India", "source_name": "Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India", "street_adddress": "9, Vigyan 1st floor, Lavelle Road, Bengaluru, Karnataka 560001, India", "lat": "12.96613000", "lng": "77.59629140", "type": "company", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264899"]}, {"id": "808b685d09912cbef4a009e74e10476304b4cccf", "title": "From Understanding to Controlling Privacy against Automatic Person Recognition in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/808b/685d09912cbef4a009e74e10476304b4cccf.pdf"], "doi": []}, {"id": "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "3c57e28a4eb463d532ea2b0b1ba4b426ead8d9a0", "title": "Defeating Image Obfuscation with Deep Learning", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00408.pdf"], "doi": []}, {"id": "0da75b0d341c8f945fae1da6c77b6ec345f47f2a", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People With Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0da7/5b0d341c8f945fae1da6c77b6ec345f47f2a.pdf"], "doi": []}, {"id": "a13d47bb8e5ebe741a57a6f963941aa638d88872", "title": "Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237660"]}, {"id": "ff1f45bdad41d8b35435098041e009627e60d208", "title": "From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.10442.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "269248eb8a44da5248cef840f7079b1294dbf237", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.01515.pdf"], "doi": []}, {"id": "c8b9217ee36aebb9735e525b718490dc27c8c1cb", "title": "Improving person recognition by weight adaptation of soft biometrics", "addresses": [{"name": "Amirkabir University of Technology (Tehran Polytechnic)", "source_name": "Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}, {"name": "Amirkabir University of Technology, Iran", "source_name": "Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802112"]}, {"id": "eb8a3948c4be0d23eb7326d27f2271be893b3409", "title": "A Probabilistic Approach to People-Centric Photo Selection and Sequencing", "addresses": [{"name": "Amazon, Berkshire, U.K.", "source_name": "Amazon, Berkshire, U.K.", "street_adddress": "Shell Slough East, 85 London Road, Slough SL3 7RS, United Kingdom", "lat": "51.50181500", "lng": "-0.56614500", "type": "company", "country": "United Kingdom"}, {"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Illinois\u2019 Advanced Digital Sciences Center", "source_name": "University of Illinois\u2019 Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914701", "http://doi.org/10.1109/TMM.2017.2699859"]}, {"id": "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "title": "A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab", "addresses": [{"name": "Facebook & Cornell University", "source_name": "Cornell University & Facebook Inc., New York, NY, USA", "street_adddress": "309 Ives Hall, Ithaca, NY 14853, United States", "lat": "42.44726000", "lng": "-76.48098800", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173789"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3d24b386d003bee176a942c26336dbe8f427aadd", "title": "Sequential Person Recognition in Photo Albums with a Recurrent Network", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09967.pdf"], "doi": []}, {"id": "503906ca940fa3b01e39d05879c9b6a36524aaf5", "title": "Natural and Effective Obfuscation by Head Inpainting", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute of Informatics", "source_name": "Max Planck Institute of Informatics and Saarland University", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}, {"name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "source_name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "street_adddress": "Avenue du Bourget 60, 1140 Bruxelles, Belgium", "lat": "50.87848020", "lng": "4.43486240", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578628"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "1451e7b11e66c86104f9391b80d9fb422fb11c01", "title": "Image privacy protection with secure JPEG transmorphing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1451/e7b11e66c86104f9391b80d9fb422fb11c01.pdf"], "doi": []}, {"id": "232f21aa133b75156665175158c65b89bded4032", "title": "Multi-Human Parsing Machines", "addresses": [{"name": "National University of Singapore & SAP Machine Learning", "source_name": "National University of Singapore & SAP Machine Learning, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240515"]}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "3960d8eef886562df7e9eb00e71e48b4a1175721", "title": "An Automated Perceptual Learning Algorithm for Determining Structure-Based Visual Prototypes of Objects from Internet-Scale Data", "addresses": [{"name": "University of California at Los Angeles (UCLA)", "source_name": "University of California at Los Angeles (UCLA), Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt5pk6p9w4/qt5pk6p9w4.pdf?t=nv6y2i"], "doi": ["https://www.base-search.net/Record/d6be1f9ab261433dcdff0e9709b12f47bf9908d0496c9d18b0349d47b04e4dc6"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "addresses": [{"name": "Artificial Intelligence Research Center, National Institute of AIST", "source_name": "Artificial Intelligence Research Center, National Institute of AIST, Japan", "street_adddress": "1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan", "lat": "36.06146340", "lng": "140.13389070", "type": "edu", "country": "Japan"}, {"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}, {"name": "Tsukuba University", "source_name": "Tsukuba University, Tsukuba, Japan", "street_adddress": "1 Chome-\uff11\u2212\uff11 Tennodai, Tsukuba, Ibaraki Prefecture 305-8577, Japan", "lat": "36.10882370", "lng": "140.10365200", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "title": "Inference Attacks Against Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "b64cfb39840969b1c769e336a05a30e7f9efcd61", "title": "CRF-Based Context Modeling for Person Identification in Broadcast Videos", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fde2/b8943eb429d35e649c56ce95658b44c49243.pdf"], "doi": []}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "e5751433d6957f0e807a8685eeb8e6e6c24dd892", "title": "Re-evaluating the health of coral reef communities: baselines and evidence for human impacts across the central Pacific.", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a2c1/d476a5ff96d0199ce6b834204a30a124bddb.pdf"], "doi": []}, {"id": "2a7058a720fa9da4b9b607ea00bfdb63652dff95", "title": "Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/Continuous%20Probability%20Distribution%20Prediction%20of%20Image%20Emotions%20via%20Multitask%20Shared%20Sparse%20Regression.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7590031", "http://doi.org/10.1109/TMM.2016.2617741"]}, {"id": "51eba481dac6b229a7490f650dff7b17ce05df73", "title": "Situation Recognition: Visual Semantic Role Labeling for Image Understanding", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780966"]}, {"id": "b0fa513de3a03a32de0747ab488b5c3a99fd7843", "title": "Phylogenomics reveals rapid, simultaneous diversification of three major clades of Gondwanan frogs at the Cretaceous-Paleogene boundary.", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/574c/ed3e56c8aab7293fa1f42ac81d73dbdaeb7f.pdf"], "doi": []}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "0705d00d7a9e1b5059c9cbf6f57caf1e93b63447", "title": "Xenopus in Space and Time: Fossils, Node Calibrations, Tip-Dating, and Paleobiogeography.", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0705/d00d7a9e1b5059c9cbf6f57caf1e93b63447.pdf"], "doi": []}, {"id": "c8a4b38913153611652038a29c8f88ef1ddaa5a7", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1d696a1beb42515ab16f3a9f6f72584a41492a03", "title": "Deeply learned face representations are sparse, selective, and robust", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1265.pdf"], "doi": []}, {"id": "26a6ee00528724c7b61e22cfe90b994523b88d00", "title": "Predicting discrete probability distribution of image emotions", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351244", "http://doi.org/10.1109/ICIP.2015.7351244"]}, {"id": "2e9530adc7f949f36736935bb654d781050e7ab3", "title": "Autonomous Vehicles Require Socio-Political Acceptance\u2014An Empirical and Philosophical Perspective on the Problem of Moral Decision Making", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e95/30adc7f949f36736935bb654d781050e7ab3.pdf"], "doi": []}, {"id": "2b7e18ecfa27cee95dbf8653b18d6d3cdbe80926", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "ccf8cc3b1ead41cbf4fddd77648a2e9538fb747a", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "338781e5236d5caf6254509bfa0f240ecf820872", "title": "Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05046.pdf"], "doi": []}, {"id": "1db5d63aaaa739d36d3dcb7fd17b2f0775ade681", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "d20b7758bfde707115044ad2797cee8d5a988c45", "title": "Phylotranscriptomic consolidation of the jawed vertebrate timetree", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "University of Li\u00e8ge", "source_name": "Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Li\u00e8ge, Li\u00e8ge, Belgium", "street_adddress": "Grande Traverse 10, 4000 Li\u00e8ge, Belgium", "lat": "50.58596690", "lng": "5.56011930", "type": "edu", "country": "Belgium"}], "year": "2017", "pdf": ["http://www.evolutionsbiologie-uni-konstanz.com/uploads/7/7/7/4/77747518/irisarri_et_al._2017_nature_ecol_evol.pdf"], "doi": ["https://doi.org/10.1038/s41559-017-0240-5", "https://www.ncbi.nlm.nih.gov/pubmed/28890940"]}, {"id": "7ebb153704706e457ab57b432793d2b6e5d12592", "title": "Faces in Places: compound query retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf"], "doi": []}, {"id": "2a171f8d14b6b8735001a11c217af9587d095848", "title": "Learning Social Relation Traits from Face Images", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410771"]}, {"id": "d944acffb62b321ae86324b90b3f538805494ec0", "title": "The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut", "addresses": [{"name": "University of Bras\u00edlia", "source_name": "University of Bras\u00edlia, DF, Brazil 70910-900", "street_adddress": "Brasilia - Federal District, 70910-900, Brazil", "lat": "-15.76315730", "lng": "-47.87063110", "type": "edu", "country": "Brazil"}, {"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://oar.icrisat.org/9364/1/ng.3517.pdf"], "doi": ["https://doi.org/10.1038/ng.3517", "https://www.ncbi.nlm.nih.gov/pubmed/26901068"]}, {"id": "75bb50373a11f9a6b058948869ed4c9f48d01a28", "title": "The blue paradox: Preemptive overfishing in marine reserves.", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75bb/50373a11f9a6b058948869ed4c9f48d01a28.pdf"], "doi": []}, {"id": "cd4be6f12a105909a3145b2a30bc2fbaf66bd584", "title": "Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States.", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of New Mexico", "source_name": "Literacy, and Sociocultural Studies, University of New Mexico, United States", "street_adddress": "Albuquerque, NM 87131, USA", "lat": "35.08431870", "lng": "-106.61978120", "type": "edu", "country": "United States"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3dc/51153f555f202bf216cfbfc255c95c16f05d.pdf"], "doi": []}, {"id": "5cdda7283a03235386cc706f4e6d4ffe9b904d49", "title": "Adapting the Hypercube Model to Archive Deferred Representations and Their Descendants", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05142.pdf"], "doi": []}, {"id": "c8edff7b9eee5ba174a5188436f6f3707f16b7d4", "title": "Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}, {"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329511"]}, {"id": "75d7f05ab38afc0f9f5b59843f716586564bdccf", "title": "Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate", "addresses": [{"name": "Harbin University of Science and Technology", "source_name": "Harbin University of Science and Technology, China", "street_adddress": "52 Xuefu Rd, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150080", "lat": "45.71560600", "lng": "126.61466190", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75d7/f05ab38afc0f9f5b59843f716586564bdccf.pdf"], "doi": []}, {"id": "1b844eb1d8e3dba5a1a312507138007c32519368", "title": "iSyTE 2.0: a database for expression-based gene discovery in the eye", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b84/4eb1d8e3dba5a1a312507138007c32519368.pdf"], "doi": []}, {"id": "4d4b48daa6e19d661acdda1a870875c2e82b5dc9", "title": "Competition and feeding ecology in two sympatric Xenopus species (Anura: Pipidae)", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d4b/48daa6e19d661acdda1a870875c2e82b5dc9.pdf"], "doi": []}, {"id": "2bde99745ed5650cc7c79117d2699da757c66ef9", "title": "Going Dark: Social Factors in Collective Action Against Platform Operators in the Reddit Blackout", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858391"]}, {"id": "68b2c3d2b327c9d3f9a1c742cf805e568a36effc", "title": "Coherent neuronal ensembles are rapidly recruited when making a look-reach decision", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/wong_etal_2016.pdf"], "doi": ["https://doi.org/10.1038/nn.4210", "https://www.ncbi.nlm.nih.gov/pubmed/26752158"]}, {"id": "6fa350c3b8d8019b3568f318edca22b2d5ce1ec9", "title": "Bilevel Optimization with Nonsmooth Lower Level Problems", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2015", "pdf": ["http://lmb.informatik.uni-freiburg.de/Publications/2015/OB15a/ochs_ssvm2015_bilevel.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-18461-6_52"]}, {"id": "a7dc78dc9a5afbbb25263752579bc5cc7e625f47", "title": "LincRNA-Gm4419 knockdown ameliorates NF-\u03baB/NLRP3 inflammasome-mediated inflammation in diabetic nephropathy", "addresses": [{"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.nature.com/articles/cddis2016451.pdf?code=e02f406e-e495-4a86-a80f-535e9298c837&error=cookies_not_supported"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28151474", "https://doi.org/10.1038/cddis.2016.451"]}, {"id": "706e5d4460631f7aaeff7051062e7ca98f364ba3", "title": "Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task.", "addresses": [{"name": "Aix-Marseille Universit\u00e9", "source_name": "Centre de Physiques des Particules de Marseille, Aix-Marseille Universit\u00e9, CNRS/IN2P3, Marseilles, France", "street_adddress": "902, CEDEX, Case, 13288, 163 Avenue de Luminy, 13009 Marseille, France", "lat": "43.23086700", "lng": "5.44110700", "type": "edu", "country": "France"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/706e/5d4460631f7aaeff7051062e7ca98f364ba3.pdf"], "doi": []}, {"id": "416895a0513202bd7fed9eb0f841ca25cf126b19", "title": "Genome evolution in the allotetraploid frog Xenopus laevis", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Hokkaido University", "source_name": "Hokkaido University, Sapporo, Japan", "street_adddress": "5 Chome Kita 8 Jonishi, Kita, Sapporo, Hokkaido 060-0808, Japan", "lat": "43.07795750", "lng": "141.34001300", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}, {"name": "Tokushima University", "source_name": "Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan", "street_adddress": "2 Chome-24 Shinkuracho, Tokushima, Tokushima Prefecture 770-8501, Japan", "lat": "34.07010740", "lng": "134.55979330", "type": "edu", "country": "Japan"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Niigata University", "source_name": "Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan", "street_adddress": "\uff18\uff10\uff15\uff10 Ikarashi 2 Nocho, Nishi Ward, Niigata, Niigata Prefecture 950-2181, Japan", "lat": "37.86770880", "lng": "138.94189770", "type": "edu", "country": "Japan"}, {"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://mcb.berkeley.edu/labs/heald/Publications/PMC5313049.pdf", "http://www.marcottelab.org/users/paper-pdfs/Nature_XenopusGenome_2016.pdf", "http://www.nature.com/nature/journal/v538/n7625/pdf/nature19840.pdf"], "doi": ["https://doi.org/10.1038/nature19840", "https://www.ncbi.nlm.nih.gov/pubmed/27762356"]}, {"id": "4e7942a35fedc6bcb8a973608809f798a8d182bf", "title": "Multi-Granularity Reasoning for Social Relation Recognition from Images", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.03067.pdf"], "doi": []}, {"id": "3a61bf271578fbe54db27bc8df8d972a4fc69512", "title": "Blood Lead Levels and Cause-Specific Mortality of Inorganic Lead-Exposed Workers in South Korea", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}, {"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a61/bf271578fbe54db27bc8df8d972a4fc69512.pdf"], "doi": []}, {"id": "6a4a6fb44b6945d2bad440d648a6db32316c28e8", "title": "Evaluation of Atmospheric Correction Methods in Identifying Urban Tree Species With WorldView-2 Imagery", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6971089"]}, {"id": "67f0a231480fdfba856d4e0c4dfb162e50b75913", "title": "Information theoretic analysis of proprioceptive encoding during finger flexion in the monkey sensorimotor system", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67f0/a231480fdfba856d4e0c4dfb162e50b75913.pdf"], "doi": []}, {"id": "beb60be20e67d34f0ea76a7584fc76e9f1b32a36", "title": "A 3D multimodal approach to precisely locate DBS electrodes in the basal ganglia brain region", "addresses": [{"name": "University of Porto", "source_name": "University of Porto", "street_adddress": "Pra\u00e7a de Gomes Teixeira, 4099-002 Porto, Portugal", "lat": "41.14654790", "lng": "-8.61569980", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7146617"]}, {"id": "d596196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b", "title": "Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries", "addresses": [{"name": "Universidad Polit\u00e9cnica de Madrid", "source_name": "Group of Biometrics, Biosignals and Security, GB2S, Centro de Dom\u00f3tica Integral, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo. Pozuelo de Alarc\u00f3n, 28223, Madrid", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d596/196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b.pdf"], "doi": []}, {"id": "e5703de5395d28d3186827ca4eba1562e01aa272", "title": "Music identification based on music word model", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177492"]}, {"id": "65393691b6b37b5c2ffc8609d6f6d37a06ff4dcc", "title": "Quantifying the power and consequences of social media protest", "addresses": [{"name": "American University", "source_name": "American University", "street_adddress": "American University, 4400, Massachusetts Avenue Northwest, Spring Valley, American University Park, D.C., 20016, USA", "lat": "38.93804505", "lng": "-77.08939224", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of North Texas", "source_name": "University of North Texas", "street_adddress": "University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA", "lat": "33.20988790", "lng": "-97.15147488", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6539/3691b6b37b5c2ffc8609d6f6d37a06ff4dcc.pdf"], "doi": []}, {"id": "0e10eb11d0df37c76b9dbc2f7ae8958140d320bf", "title": "Review-Reservoir Computing Trend on Software and Hardware Implementation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e10/eb11d0df37c76b9dbc2f7ae8958140d320bf.pdf"], "doi": []}, {"id": "04dccd10855ef6179f071e5878514e9e4eac4d55", "title": "Virus discovery in all three major lineages of terrestrial arthropods highlights the diversity of single-stranded DNA viruses associated with invertebrates", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "University of Vermont", "source_name": "University of Vermont", "street_adddress": "University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA", "lat": "44.48116865", "lng": "-73.20021790", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d645/4fa1b7e3eab72f0ae1e0e90d4055e1150f80.pdf"], "doi": []}, {"id": "ededf34003027dd90f32b97d52c7964291972b56", "title": "Are diversification rates and chromosome evolution in the temperate grasses (Pooideae) associated with major environmental changes in the Oligocene-Miocene?", "addresses": [{"name": "University of A Coru\u00f1a", "source_name": "VARPA Group, University of A Coru\u00f1a, A Coru\u00f1a, Spain", "street_adddress": "A Coru\u00f1a, Spain", "lat": "43.36234360", "lng": "-8.41154010", "type": "edu", "country": "Spain"}, {"name": "University of Zaragoza", "source_name": "University of Zaragoza, Spain", "street_adddress": "Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain", "lat": "41.64206390", "lng": "-0.90150650", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eded/f34003027dd90f32b97d52c7964291972b56.pdf"], "doi": []}, {"id": "1342e8e9001d704ad16be309116a5ec4851f81af", "title": "Decreased Modulation of EEG Oscillations in High-Functioning Autism during a Motor Control Task", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1342/e8e9001d704ad16be309116a5ec4851f81af.pdf"], "doi": []}, {"id": "dfbf0b49e9731025456cd30f745314225279983f", "title": "Modulation of network-to-network connectivity via spike-timing-dependent noninvasive brain stimulation.", "addresses": [{"name": "University of Siena", "source_name": "University of Siena", "street_adddress": "\u5927\u5b78 University, \u6fa4\u7965\u8857 Chak Cheung Street, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "lat": "22.41338620", "lng": "114.21005800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.tmslab.org/publications/842.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30113111", "https://doi.org/10.1002/hbm.24329"]}, {"id": "c3d2b8856dd2f600680ffbaa98ba9a43b5e6f3bb", "title": "Human papillomavirus dysregulates the cellular apparatus controlling the methylation status of H3K27 in different human cancers to consistently alter gene expression regardless of tissue of origin", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c3d2/b8856dd2f600680ffbaa98ba9a43b5e6f3bb.pdf"], "doi": []}, {"id": "41968ce97d01c86a545da6f2bee1f462a04fa078", "title": "Analysis of Class I Major Histocompatibility Complex Gene Transcription in Human Tumors Caused by Human Papillomavirus Infection", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4196/8ce97d01c86a545da6f2bee1f462a04fa078.pdf"], "doi": []}, {"id": "3755cc2648a7127d960fccc41f8ae45e0646fb88", "title": "Auditory Feedback Differentially Modulates Behavioral and Neural Markers of Objective and Subjective Performance When Tapping to Your Heartbeat", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3755/cc2648a7127d960fccc41f8ae45e0646fb88.pdf"], "doi": []}, {"id": "c9280a577bec62b2ee4579059e504910a2f498ac", "title": "Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material", "addresses": [{"name": "Philipps-Universit\u00e4t Marburg", "source_name": "Philipps-Universit\u00e4t Marburg", "street_adddress": "FB 09 | Germanistik und Kunstwissenschaften (Dekanat), 3, Deutschhausstra\u00dfe, Biegenhausen, Biegenviertel, Marburg, Landkreis Marburg-Biedenkopf, Regierungsbezirk Gie\u00dfen, Hessen, 35037, Deutschland", "lat": "50.81427010", "lng": "8.77143500", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48db/5b7d6377eb3063e3dec93d900e803c07c83d.pdf"], "doi": []}, {"id": "c6527076c5b732070b6bf4d7573f5214093ed38b", "title": "Ruxolitinib sensitizes ovarian cancer to reduced dose Taxol, limits tumor growth and improves survival in immune competent mice", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0fa9/3f4e8304687dae4ea9c03933726e54836aff.pdf"], "doi": []}, {"id": "11d0e36b575b3e5128b88fc26913c50f72182728", "title": "HeLa nucleic acid contamination in the cancer genome atlas leads to the misidentification of human papillomavirus 18.", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/11d0/e36b575b3e5128b88fc26913c50f72182728.pdf"], "doi": []}, {"id": "2e0ea7e2d38f95033f154d41285d63364a48cd24", "title": "Tumour virology in the era of high-throughput genomics", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2e0e/a7e2d38f95033f154d41285d63364a48cd24.pdf"], "doi": []}, {"id": "973005f8a7941d8dda514e7d937339043d811920", "title": "Merkel cell polyomavirus T antigens promote cell proliferation and inflammatory cytokine gene expression.", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "University of Cologne", "source_name": "University of Cologne, K\u00f6ln, Germany", "street_adddress": "Albertus-Magnus-Platz, 50923 K\u00f6ln, Germany", "lat": "50.92816250", "lng": "6.92881930", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bfa9/bf176bf64f23c46e795642db67f7228b5c38.pdf"], "doi": []}, {"id": "2a9a4cf568114aa9f1158b1f4b1403cf7f4d662a", "title": "Serum CA19-9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: implications for early disease detection.", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2a9a/4cf568114aa9f1158b1f4b1403cf7f4d662a.pdf"], "doi": []}, {"id": "76caa1b9d6ffd845cbf9a545b82b1826c68772f7", "title": "Histidine catabolism is a major determinant of methotrexate sensitivity", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://sabatinilab.wi.mit.edu/pubs/2018/kanarekNature.pdf"], "doi": ["https://doi.org/10.1038/s41586-018-0316-7", "https://www.ncbi.nlm.nih.gov/pubmed/29995852"]}, {"id": "33569dda09bb072a01a99830f7ef0970384c4bcc", "title": "A data science challenge for converting airborne remote sensing data into ecological information", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3356/9dda09bb072a01a99830f7ef0970384c4bcc.pdf"], "doi": []}, {"id": "a5469b4ec610f03367c5c75e3dc5d888f4370880", "title": "Triadobatrachus massinoti, the earliest known lissamphibian (Vertebrata: Tetrapoda) re-examined by \u03bcCT scan, and the evolution of trunk length in batrachians", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b4ebc439d8960f2aa3dcc8dc51bae40c8010.pdf"], "doi": []}, {"id": "746af50882e26a0f928c2035f0fd47b146725f7e", "title": "Learning structure of sensory inputs with synaptic plasticity leads to interference", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/746a/f50882e26a0f928c2035f0fd47b146725f7e.pdf"], "doi": []}, {"id": "8cb4afd7d9f5157772b47acea1a7642512eb23e1", "title": "The Information Network: Exploiting Causal Dependencies in Online Information Seeking", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854974"]}, {"id": "46e262db98c75b25b04b762242ab245cb914a875", "title": "Detection of time delays and directional interactions based on time series from complex dynamical systems.", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/46e2/62db98c75b25b04b762242ab245cb914a875.pdf"], "doi": []}, {"id": "dc81364eb67c2798abeee0518cc5fd2aa13cafad", "title": "Carbon stable isotope composition of charophyte organic matter in a small and shallow Spanish water body as a baseline for future trophic studies", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aec/0b11a3bb90489947374d5b474b93e4a2ed2b.pdf"], "doi": []}, {"id": "9a7327569ff5e33257de322c9efc1f398fe2403f", "title": "Genetics, Morphology, Advertisement Calls, and Historical Records Distinguish Six New Polyploid Species of African Clawed Frog (Xenopus, Pipidae) from West and Central Africa.", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9a73/27569ff5e33257de322c9efc1f398fe2403f.pdf"], "doi": []}, {"id": "70e6413e2beaecbef06810955cef5d8a78d8d061", "title": "Cohesion, order and information flow in the collective motion of mixed-species shoals", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of New England", "source_name": "University of New England, Armidale, Australia", "street_adddress": "Armidale NSW 2351, Australia", "lat": "-30.48995350", "lng": "151.64101990", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e6/413e2beaecbef06810955cef5d8a78d8d061.pdf"], "doi": []}, {"id": "cd369a556eaadd2ba2b85994d3aae95d3a4e5923", "title": "Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7556386"]}, {"id": "e953a4720f0318ea95d5710a6f1fdf057af2415e", "title": "Data-based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e953/a4720f0318ea95d5710a6f1fdf057af2415e.pdf"], "doi": []}, {"id": "2a55499130ce9984b998865349b9b8fc3104ef96", "title": "Information-Theoretic Evidence for Predictive Coding in the Face-Processing System.", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a55/499130ce9984b998865349b9b8fc3104ef96.pdf"], "doi": []}, {"id": "85cbf9066cd568bddeddba843f604e883d9aeb3b", "title": "Estimating the impact of structural directionality: How reliable are undirected connectomes?", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01651.pdf"], "doi": []}, {"id": "16e25eacf9309f53778d95a5a16899f6ed91595a", "title": "Frequency-based brain networks: From a multiplex framework to a full multilayer description", "addresses": [{"name": "Universidad Rey Juan Carlos", "source_name": "Departamento de Ciencias de la Computaci\u00f3n, Universidad Rey Juan Carlos, M\u00f3stoles (Madrid), Spain. josemiguel.buenaposada@urjc.es", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}, {"name": "University of California Los Angeles", "source_name": "University of California Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06091.pdf"], "doi": []}, {"id": "39ae101c4fd9cb0f8757852bd4804d8869fd2667", "title": "PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462173"]}, {"id": "79de8cc2d7b254b5995fdc7fbb1ad4f9ca24cbc1", "title": "Playing methods and techniques of pipa", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/79de/8cc2d7b254b5995fdc7fbb1ad4f9ca24cbc1.pdf"], "doi": []}, {"id": "cfdbedd78a8ecf6ce6b18faddf423477cdfec95d", "title": "PENGUKURAN VISKOSITAS NITROGEN MENGGUNAKAN METODE PIPA KAPILER PADA TEMPERATUR298 SAMPAI 500 K, DAN TEKANAN 5 SAMPAI 100 MPA", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cfdb/edd78a8ecf6ce6b18faddf423477cdfec95d.pdf"], "doi": []}, {"id": "cdae2b3d3ea5631869489a1f7e08dc65cd0fd698", "title": "Response: Commentary: Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "1d61db5ce720f3e8489b0d45f5d079341fd10b23", "title": "RM-SORN: a reward-modulated self-organizing recurrent neural network", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d61/db5ce720f3e8489b0d45f5d079341fd10b23.pdf"], "doi": []}, {"id": "13a8bba40126369f0e8a186834efb281bc65cc05", "title": "Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "f1b28c35819ae7878e3eec07da7d57c6efe45928", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity", "addresses": [{"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03113.pdf"], "doi": []}, {"id": "71ea7b9aa08abc716a593407b1623dc46c3e10ca", "title": "Persistent Memory in Single Node Delay-Coupled Reservoir Computing", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71ea/7b9aa08abc716a593407b1623dc46c3e10ca.pdf"], "doi": []}, {"id": "3e632bb55dd7947d764900dea74953502e8da485", "title": "Assessing Coupling Dynamics from an Ensemble of Time Series", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1008.0539.pdf"], "doi": []}, {"id": "487d1c8e692bea3e106776cc9a478823a334e8cf", "title": "\u201cTo be or not to be Retained \u2026 That\u2019s the Question!\u201d Retention, Self-esteem, Self-concept, Achievement Goals, and Grades", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/487d/1c8e692bea3e106776cc9a478823a334e8cf.pdf"], "doi": []}, {"id": "0a526d4b21dde952d8659c046f6d8f511d8b9d9b", "title": "The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811915000804?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2015.01.054", "https://www.ncbi.nlm.nih.gov/pubmed/25680519", "https://www.wikidata.org/entity/Q35286768"]}, {"id": "91ccb1ad59103d931cd6d1ec49ddf6008255af38", "title": "What does gamma coherence tell us about inter-regional neural communication?", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://buzsakilab.com/content/PDFs/BuzsakiSchomburg2015.pdf"], "doi": ["https://doi.org/10.1038/nn.3952", "https://www.ncbi.nlm.nih.gov/pubmed/25706474"]}, {"id": "852320e33132442e1c335b13b88be0f7afa3c080", "title": "The social dilemma of autonomous vehicles", "addresses": [{"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}, {"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.03346.pdf"], "doi": []}, {"id": "0798f0433149cf3742267d3439dfbfea2a040427", "title": "A LuxR Homolog in a Cottonwood Tree Endophyte That Activates Gene Expression in Response to a Plant Signal or Specific Peptides", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0798/f0433149cf3742267d3439dfbfea2a040427.pdf"], "doi": []}, {"id": "47784794c88918ce94ba8995019f1f3e38fe791c", "title": "Galacto-Oligosaccharide/Polidextrose Enriched Formula Protects against Respiratory Infections in Infants at High Risk of Atopy: A Randomized Clinical Trial", "addresses": [{"name": "University of Padua", "source_name": "University of Padua, Italy. enrico.grisan@unipd.it", "street_adddress": "Via 8 Febbraio 1848, 2, 35122 Padova PD, Italy", "lat": "45.40676600", "lng": "11.87744620", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4778/4794c88918ce94ba8995019f1f3e38fe791c.pdf"], "doi": []}, {"id": "62c3fb2a12aa4a1697019867ab00ef370a93c34d", "title": "Photonic sensors: From horse racing to horse power", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}, {"name": "Federal University of Technology - Parana", "source_name": "Federal University of Technology - Parana, Brazil", "street_adddress": "R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, Curitiba - PR, 81280-340, Brazil", "lat": "-25.44341230", "lng": "-49.35348310", "type": "edu", "country": "Brazil"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961110"]}, {"id": "202face365f4cf0cfffff5ced715574821816f1d", "title": "Recognizing and Curating Photo Albums via Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05911.pdf"], "doi": []}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "1b93a123d352ea09b4c8aaac933f1d4c8bd42009", "title": "PlaNet - Photo Geolocation with Convolutional Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.05314.pdf"], "doi": []}, {"id": "4131a42a3a9b60f01cef2d744c7f6debd1d2ee4a", "title": "Multigranular Event Recognition of Personal Photo Albums", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119855"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "f467eb5e7f9d49ab318401f961109882c00f2720", "title": "Face/Off: Preventing Privacy Leakage From Photos in Social Networks", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2813603"]}, {"id": "3187ff8a0ef4d0cfc68f368610b1842ef1f7b671", "title": "Hierarchically-Attentive RNN for Album Summarization and Storytelling", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02977.pdf"], "doi": []}, {"id": "e7d7761ba516340457488955f3dd5959761bbfd0", "title": "Automatic triage for a photo series", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925908"]}, {"id": "aae1a3fff0da14919848a2a8592cd2f1f8ac495c", "title": "Photo collection contextualization", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169761"]}, {"id": "4556fd9fa338c65c27c7fac3afb8c6186d3807c5", "title": "Mining User Interests from Personal Photos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a47f/c06d1e1f9d0e4da1ad2dfd8c1de762d8b714.pdf"], "doi": []}, {"id": "6e0b1ea97421e080402a8db23358b01c04c905e5", "title": "Personalized Annotation for Mobile Photos Based on User's Social Circle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-27671-7_7"]}, {"id": "8598aadd321752e7e767fc3c608706f9104fd0e0", "title": "Photo annotation: a survey", "addresses": [{"name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "street_adddress": "Av. Colares Moreira, 477 - Jardim Renascenca, S\u00e3o Lu\u00eds - MA, 65075-441, Brazil", "lat": "-2.49930740", "lng": "-44.28597080", "type": "edu", "country": "Brazil"}, {"name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "street_adddress": "Av. Primeiro de Maio, 720 - Jaguaribe, Jo\u00e3o Pessoa - PB, 58015-435, Brazil", "lat": "-7.13564960", "lng": "-34.87390450", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}, {"name": "University of Campina Grande", "source_name": "Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil", "street_adddress": "Rua Apr\u00edgio Veloso, 882 Universit\u00e1rio 58429-900 - Federal University of Campina Grande, PB, Brazil", "lat": "-7.21248510", "lng": "-35.90736510", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4281-6"]}, {"id": "8c194fdcc1596a988ae1d1d501ed9849d200bdd9", "title": "Intelligent organization of multiuser photo galleries using sub-event detection", "addresses": [{"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275347"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "fe33597affd4e99a5dc979ef4ed99ee6311fdc2b", "title": "Hierarchical Photo-Scene Encoder for Album Storytelling", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00669.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "52d88f1bd669e6736bd7ef945d451841f9b9fd78", "title": "Travel photo album summarization based on aesthetic quality, interestingness, and memorableness", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820889"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "bed777206e903cbe92c71808627a3bfed5701f5e", "title": "AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742843"]}, {"id": "ea97d02baaadad2bc7a01f3faad397e28f28d74b", "title": "Abnormal Event Discovery in User Generated Photos", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2975215"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "fa46cc90577f92269fc03bf20ba07c0c91676839", "title": "Learning personalized expectation-oriented photo selection models for personal photo collections", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169813"]}, {"id": "51d2f04db96856d0da974893223d0659a4b53161", "title": "NowAndThen: a social network-based photo recommendation tool supporting reminiscence", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}, {"name": "University of Science", "source_name": "University of Science, Ho Chi Minh city, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3012738"]}, {"id": "78baffa12bbebcd0b615fac80c2df6d3f05c4261", "title": "From Uncertain Photos to Certain Coverage: a Novel Photo Selection Approach to Mobile Crowdsensing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485969"]}, {"id": "4503374b7a8b342d262aef220a4ecf00f8f28fd8", "title": "Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240624"]}, {"id": "b5647cbbfdc7d1ee91a8ec264b200b66afd7b8b2", "title": "A Dataset for Telling the Stories of Social Media Videos", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b564/7cbbfdc7d1ee91a8ec264b200b66afd7b8b2.pdf"], "doi": []}, {"id": "05d082daa3e6f86adeb78b26e8cf07b94b418377", "title": "Photo Selection for Family Album using Deep Neural Networks", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3209697"]}, {"id": "ed9869f749d1f5d0752251c492c3389cf944707b", "title": "Exploring the heterogeneity of social media: dataset and a pilot study", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808568"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d284dd84e5675e33b561f183f22fc817ef113890", "title": "Monet: A System for Reliving Your Memories by Theme-Based Photo Storytelling", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7577751"]}, {"id": "a3b5b2558cf3905bfeba07e1bda3ff87b07d3581", "title": "Event recognition in personal photo collections using hierarchical model and multiple features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340864"]}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "b5dbffb3a07153c5428d7752cb06b545cb083e5f", "title": "All the people around me: Face discovery in egocentric photo-streams", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296500"]}, {"id": "e29ba8930f379245035ff7d33b5693592ee491aa", "title": "Discriminative subgraphs for discovering family photos", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s41095-016-0054-4"]}, {"id": "2257a49262f7d2fa3980dbf1567ca9be728a21ee", "title": "To Keep or not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749372"]}, {"id": "8bc5d06d2a6033ecfb39d373a663bee2b28fee52", "title": "CrowdBuy: Privacy-friendly Image Dataset Purchasing via Crowdsourcing", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485902"]}, {"id": "390b24743e97474b3e086aa9516930a6eaa73e87", "title": "Event Recognition in Photo Streams", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/390b/24743e97474b3e086aa9516930a6eaa73e87.pdf"], "doi": []}, {"id": "8db8cb025e30552524738ddfc7db1143e92be06b", "title": "Investigating human behaviors in selecting personal photos to preserve memories", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169750"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "f6e3638e4b3684f40b39c7316c29539b2c0d2357", "title": "RingIt: Ring-Ordering Casual Photos of a Temporal Event", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2735628"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "6f911cb4b7c83baf67d2c262558535d360d37a3d", "title": "Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2788569"]}, {"id": "9471ca17573e3c3aed347f17b3cf9d9d1416ce3a", "title": "Visual Landmark Recognition from Internet Photo Collections: A Large-Scale Evaluation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5400.pdf"], "doi": []}, {"id": "31317c7956d5841f728364a96a54578e7118a310", "title": "Assisted journey recollections from photo streams: (demo paper)", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996955"]}, {"id": "c370f762968f6379c2cda1e18e71334494aa3b72", "title": "Photo linker: a system for finding your old photos based on fragmentary memories", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808550"]}, {"id": "b8218640e95bb2d925a617b1c3012eed7d209351", "title": "Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/977b/eecdf0b5c3487d03738cff501c79770f0858.pdf"], "doi": []}, {"id": "42b4e10215c58f47bf8917f1a84ed82803bf6ee1", "title": "Are People Really Social in Porn 2.0?", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/80a4/9380102b85b8509bdecbb024f24a5d2d2d42.pdf"], "doi": []}, {"id": "c0a316190b73b11eb75ed09456b2548f394fef37", "title": "Real-time Burst Photo Selection Using a Light-Head Adversarial Network", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07212.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "132b44b95cd0bfe4b6a2d4dfeba1858411f0271d", "title": "Mixed-Ability Collaboration for Accessible Photo Sharing", "addresses": [{"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240994"]}, {"id": "4cb852b0893edcf895aeccfb4e03055073777f5e", "title": "Collaborative filtering motivated automatic photo tagging", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8029111"]}, {"id": "70f7bcfe2ce3789e62846c73e98feeaa319135e5", "title": "Learning Deep Contextual Attention Network for Narrative Photo Stream Captioning", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126715"]}, {"id": "b2181cd970175f29402ac11380c88830afe27585", "title": "MMED: A Multi-domain and Multi-modality Event Dataset", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02354.pdf"], "doi": []}, {"id": "b95e1db112a14f4fbf8f3a993f9874abd01e915e", "title": "Photo Squarization by Deep Multi-Operator Retargeting", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240623"]}, {"id": "e334ce0b335cfe9185e9aeaeb851673ae480d186", "title": "Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image Hashing", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123446"]}, {"id": "7dc62564a31cde5f581df4891785708eeec65d2a", "title": "From Same Photo: Cheating on Visual Kinship Challenges", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06200.pdf"], "doi": []}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "77c512cbb832436e1a35ad434e6bb3d763799763", "title": "A Neural Algorithm of Artistic Style", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.06576.pdf"], "doi": []}, {"id": "5287d8fef49b80b8d500583c07e935c7f9798933", "title": "Generative Adversarial Text to Image Synthesis", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05396.pdf"], "doi": []}, {"id": "a16bfc3175ceaced58c81ef52c5dc29ba885a1a4", "title": "Geospatial Access to Lifelogging Photos in Virtual Reality", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210547"]}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e", "title": "Deep Aging Face Verification With Large Gaps", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "North Acton, London", "source_name": "North Acton, London", "street_adddress": "North Acton, Victoria Road, Acton, London Borough of Ealing, London, Greater London, England, W3 6UP, UK", "lat": "51.52344665", "lng": "-0.25973535", "type": "edu", "country": "United Kingdom"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328752", "http://doi.org/10.1109/TMM.2015.2500730"]}, {"id": "7265ea518dcb875780aabf2f2249b887715dc331", "title": "Cognition-Aware Summarization of Photos Representing Events", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7265/ea518dcb875780aabf2f2249b887715dc331.pdf"], "doi": []}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "4fa0d9c4c3d17458085ee255b7a4b7c325d59e32", "title": "DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}, {"name": "Wright State University", "source_name": "ATR Center, Wright State University, Dayton, Ohio", "street_adddress": "Center Park Blvd, 3640 Colonel Glenn Hwy, Fairborn, OH 45324, United States", "lat": "39.78192740", "lng": "-84.06075470", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fa0/d9c4c3d17458085ee255b7a4b7c325d59e32.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "101c7bfc56091b627886636afcf1103c1cecccf6", "title": "Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749318"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "c528434a54ef53e44085921698bffc5f58f81637", "title": "Cross-heterogeneous-database age estimation through correlation representation learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2017/TQNC-2017.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2017.01.064"]}, {"id": "11682c651ed0ca264476fa5b2d8c01cf16b365a1", "title": "Weather-to-garment: Weather-oriented clothing recommendation", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019476"]}, {"id": "1d3dd9aba79a53390317ec1e0b7cd742cba43132", "title": "A maximum entropy feature descriptor for age invariant face recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/Gong_A_Maximum_Entropy_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299166", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299166", "http://doi.org/10.1109/CVPR.2015.7299166"]}, {"id": "0086a67895924c5fea6ca59c74c7323a1db97def", "title": "Visual Mementos: Reflecting Memories with Personal Data", "addresses": [{"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7192708"]}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "38eef5352904f7b38e4736c07db175ef93db31b9", "title": "Children Seen But Not Heard: When Parents Compromise Children's Online Privacy", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2741124"]}, {"id": "61bd0aea6a9442a11c0e1e4973d7620b072ad203", "title": "Significance and popularity in music production", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7f78/7cb6cb88a5d5cbebd91b5cdd88f38e859799.pdf"], "doi": []}, {"id": "493dd416b844e84f322ce98c4cb80ee739fea613", "title": "Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069201"]}, {"id": "3e63cc52832039f6d5b004687b2ffbfdfc62a865", "title": "FingerReader: A Wearable Device to Explore Printed Text on the Go", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702421"]}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "2532deb05cc053aa3a6ee3b2c0c2cf518bd3ed72", "title": "Privacy Protection for Preventing Data Over-Collection in Smart City", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Pace University", "source_name": "Pace University, New York, USA", "street_adddress": "1 Pace Plaza, New York, NY 10038, USA", "lat": "40.71111970", "lng": "-74.00485670", "type": "edu", "country": "United States"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7210166"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "0a8214783a262dced7e6c21bc6b02486d86d9250", "title": "Streaming data analytics for anomalies in graphs", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7225259"]}, {"id": "40a4ed38493170fdcd071ce32c1e493743dbc455", "title": "Modeling Perspective Effects in Photographic Composition", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806248"]}, {"id": "591f04d62f44c22d1d82c9e074b066c21b420394", "title": "Learning What and Where to Draw", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02454.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "f63856b44acca90c55d329e6fbfcadc631a6ce6f", "title": "Interactive Trip Planning Using Activity Trajectories", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015030"]}, {"id": "560d04dd444f16ee7ddc81f4bba356a6b2e0ec2c", "title": "Adaptive Greedy Dictionary Selection for Web Media Summarization", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600373"]}, {"id": "f2943bb22c1321cc06c0f65ec4f99ccd8a33363a", "title": "Automatic Discovery and Optimization of Parts for Image Classification", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6598.pdf"], "doi": []}, {"id": "7173a58ce542b8ec0f8a9439a0013bd8c5640c6d", "title": "Farmlands with smaller crop fields have higher within-field biodiversity", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.glel.carleton.ca/PDF/webDump/15FahrigetalAgEcosysEnvir.pdf"], "doi": ["https://doi.org/10.1016/j.agee.2014.11.018"]}, {"id": "249d2e15cfcd531e3f91d561877d5b23d31ec2e8", "title": "Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01214.pdf"], "doi": []}, {"id": "62bfdedb87d1fed25eb5aa1bc6ff546c70a0ba6a", "title": "The LDBC Social Network Benchmark: Interactive Workload", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742786"]}, {"id": "b3cff07ea29a9019722c09a89ee969d9ac31329c", "title": "Risk Assessment in Social Networks Based on User Anomalous Behaviors", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430280"]}, {"id": "8a2601bb950665d6d69b0bfda0690537669f2376", "title": "Knowledge Discovery In GIS Data", "addresses": [{"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07241.pdf"], "doi": []}, {"id": "0cb0a2b5dac0972fa6388b2f31f76c89455a10db", "title": "\"I Added '!' at the End to Make It Secure\": Observing Password Creation in the Lab", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0cb0/a2b5dac0972fa6388b2f31f76c89455a10db.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0", "title": "Who Are Your \u201cReal\u201d Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801826", "http://doi.org/10.1109/TMM.2016.2646181"]}, {"id": "843c138978d012e9a683c9595ad4cad9fb02749d", "title": "Translating Videos to Natural Language Using Deep Recurrent Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.4729.pdf"], "doi": []}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "301cbaa07dc2b98baa574a126971b6402dbb91a9", "title": "Camera as weather sensor: Estimating weather information from single images", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://www.cs.ccu.edu.tw/~wtchu/papers/2017JVCI-chu.pdf"], "doi": ["https://doi.org/10.1016/j.jvcir.2017.04.002"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "e5c061593e90adb6c39fd4efe1f802dc5fc1268c", "title": "Deep Learning for Content-Based, Cross-Modal Retrieval of Videos and Music", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e5c0/61593e90adb6c39fd4efe1f802dc5fc1268c.pdf"], "doi": []}, {"id": "f25ec66a87367fbfe59081358eb82f8bab21c8eb", "title": "SnapVideo: Personalized Video Generation for a Sightseeing Trip", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516655"]}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "75a47284526ce7f7a0961e0d8ee611459fac0492", "title": "Has Instagram Fundamentally Altered the 'Family Snapshot'?", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025928"]}]} \ No newline at end of file diff --git a/site/datasets/citations/tiny_faces.json b/site/datasets/citations/tiny_faces.json index 2acff9ef..d7a5be37 100644 --- a/site/datasets/citations/tiny_faces.json +++ b/site/datasets/citations/tiny_faces.json @@ -1 +1 @@ -{"id": "8990cdce3f917dad622e43e033db686b354d057c", "paper": {"key": "tiny_faces", "name": "TinyFace", "title": "Low-Resolution Face Recognition", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "8990cdce3f917dad622e43e033db686b354d057c", "paper": {"key": "tiny_faces", "name": "TinyFace", "title": "Low-Resolution Face Recognition", "year": "2018", "addresses": []}, "citations": [{"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/uccs.json b/site/datasets/citations/uccs.json index 93b3428c..cdd2cd4a 100644 --- a/site/datasets/citations/uccs.json +++ b/site/datasets/citations/uccs.json @@ -1 +1 @@ -{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "paper": {"key": "uccs", "name": "UCCS", "title": "Large scale unconstrained open set face database", "year": "2013", "addresses": [{"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}]}, "citations": [{"id": "c50e498ede6f5216cffd0645e747ce67fae2096a", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Institute of Information Engineering, CAS, Beijing, China", "source_name": "Institute of Information Engineering, CAS, Beijing, China", "street_adddress": "Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042", "lat": "39.97426000", "lng": "116.21589000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09998.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04153.pdf"], "doi": []}, {"id": "3531332efe19be21e7401ba1f04570a142617236", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "efc8359dd8aa725da5dbf38bffcb691d6c99d631", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8554301"]}, {"id": "7fcdace7dcdf40fac377d88c116280ee1b416fcc", "title": "PAWE: Polysemy Aware Word Embeddings", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206101"]}, {"id": "f2f16ff81eaa9f64803532e93f613e972582ac32", "title": "Current Alcohol Use is Associated with Sleep Patterns in First-Year College Students.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f2f1/6ff81eaa9f64803532e93f613e972582ac32.pdf"], "doi": []}, {"id": "13097de9da0dee93fa2fe61e9d6aaa55f056ec03", "title": "Examining the Relationships of Image and Attitude on Visit Intention to Korea among Tanzanian College Students : The Moderating Effect of Familiarity", "addresses": [{"name": "Inha University", "source_name": "Intelligent Technology Laboratory, Inha University, Incheon, Korea", "street_adddress": "100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea", "lat": "37.45002210", "lng": "126.65348800", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1309/7de9da0dee93fa2fe61e9d6aaa55f056ec03.pdf"], "doi": []}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "addresses": [{"name": "Northeastern State University", "source_name": "Northeastern State University, OK, USA", "street_adddress": "600 N Grand Ave, Tahlequah, OK 74464, USA", "lat": "35.92114100", "lng": "-94.96590400", "type": "edu", "country": "United States"}, {"name": "Shanghai University of Engineering Science", "source_name": "Shanghai University of Engineering Science, Shanghai, China", "street_adddress": "333 Longteng Rd, Songjiang Qu, Shanghai Shi, China", "lat": "31.05723000", "lng": "121.20843700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307067", "http://doi.org/10.1109/ACCESS.2018.2812794"]}, {"id": "f8ec6a0dcb16db8759ff5ec8e6acaea63817496e", "title": "DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273639"]}, {"id": "0dba189dfd7dba6bad4fc93a39aa86587242c157", "title": "Reciprocal Relationship between Internet Addiction and Network-Related Maladaptive Cognition among Chinese College Freshmen: A Longitudinal Cross-Lagged Analysis", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0dba/189dfd7dba6bad4fc93a39aa86587242c157.pdf"], "doi": []}, {"id": "fa364d25fc2ec5adf604c36c7a0a0bc09d66dee0", "title": "Work-life Balance Decision-making of Norwegian Students : Implications for Human Resources Management", "addresses": [{"name": "University of Agder", "source_name": "University of Agder", "street_adddress": "UiA, Vegard Hauges plass, Gimlemoen, Kvadraturen, Kristiansand, Vest-Agder, 4630, Norge", "lat": "58.16308805", "lng": "8.00144966", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab6f/87a44f9739805a78fd8ab62dfa784666d60e.pdf"], "doi": []}, {"id": "fa4d1db4d6fd47f2040a488b2b8abbbd65e663a3", "title": "Student Ownership of Projects in an Upper-Division Optics Laboratory Course: A Multiple Case Study of Successful Experiences.", "addresses": [{"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05378.pdf"], "doi": []}, {"id": "8859e85f18363a70f573a6382c1fbd687b268253", "title": "Benefits and drawbacks of social non-drinking identified by British university students.", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://roar.uel.ac.uk/7209/1/2017_dar_Benefits%20and%20drawbacks%20of%20social%20non-drinking%20identified%20by%20British%20university%20students.pdf", "http://sro.sussex.ac.uk/71334/1/__smbhome.uscs.susx.ac.uk_ellenaj_Desktop_SRO_after%20august_Conroy_deVisser_inPress_BenefitsNondrinking.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28940414", "https://doi.org/10.1111/dar.12610"]}, {"id": "07a5c4ba84268708146aa4bf5cad9491b3e35051", "title": "Deep Reinforcement Learning for Dialogue Generation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01541.pdf"], "doi": []}, {"id": "2ece3dcd35d56acacf7979e47e6965a7caa752ff", "title": "HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591265"]}, {"id": "5698cacd11c41136be51c0a05a0400f7510618d0", "title": "Using wavelets to categorize student attention patterns", "addresses": [{"name": "Mississippi State University", "source_name": "Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA", "street_adddress": "200 Research Blvd, Starkville, MS 39759, USA", "lat": "33.47359400", "lng": "-88.79354200", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7757403"]}, {"id": "9b2320fe87ac907ad23c974fd2944fa1cb1b2f30", "title": "Leveraging Digital Communities of Practice: How Asynchronous Digital Collaboration Afforded a Complex Reading/Writing Dialogue for Secondary School Students", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b23/20fe87ac907ad23c974fd2944fa1cb1b2f30.pdf"], "doi": []}, {"id": "a79682e071c5cd224844e05a0f06b29621df1b8f", "title": "Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927754"]}, {"id": "b41d585246360646c677a8238ec35e8605b083b0", "title": "Student engagement study based on multi-cue detection and recognition in an intelligent learning environment", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6017-2"]}, {"id": "88817b645d4843e366f3aa2a252e428a831548bc", "title": "Parental Support , Savings and Student Loan Repayment \u2217", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8881/7b645d4843e366f3aa2a252e428a831548bc.pdf"], "doi": []}, {"id": "091c511cdfd389a53e53fe034cbd19951a77764e", "title": "Effect of Gender , Guilt , and Shame on BYU Business School Students \u2019 Innovatio n : Structural Equation Modeling Approach", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/091c/511cdfd389a53e53fe034cbd19951a77764e.pdf"], "doi": []}, {"id": "6b687cafa042f0342ace8aeeca1dd566ae96eab9", "title": "The impact of blogging on the facilitation of critical literacy in adolescent students", "addresses": [{"name": "Rowan University", "source_name": "Rowan University", "street_adddress": "Rowan University, Esbjornson Walk, Glassboro, Gloucester County, New Jersey, 08028, USA", "lat": "39.71035260", "lng": "-75.11932666", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b68/7cafa042f0342ace8aeeca1dd566ae96eab9.pdf"], "doi": []}, {"id": "6fca28477e788950d8adecd0b18e6eac45d80a30", "title": "Deep Learning Based Binaural Speech Separation in Reverberant Environments", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886357"]}, {"id": "d41d2f7753d91e51d54e7d22953e7bbd1dda9f36", "title": "Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli.", "addresses": [{"name": "City College of New York", "source_name": "The City College of New York, New York, NY 10031, USA", "street_adddress": "CCNY, 160, Convent Avenue, Manhattanville, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10031, USA", "lat": "40.81819805", "lng": "-73.95100898", "type": "edu", "country": "United States"}, {"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eb21/1cc118a749849e34185d18e02933bc182e2a.pdf"], "doi": []}, {"id": "59c31447cc06c007b7f63cc4b8a183c739ed9de2", "title": "Revisiting detection thresholds for redirected walking: combining translation and curvature gains", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2931018"]}, {"id": "41d36a4a62daec60df005c2494f15962e76fc68a", "title": "An Indoor Location-Aware System for an IoT-Based Smart Museum", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7348638"]}, {"id": "3086806c88f1be5fe8dbe894bf30fe8aa9402259", "title": "Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges.", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3086/806c88f1be5fe8dbe894bf30fe8aa9402259.pdf"], "doi": []}, {"id": "89c894c5d3a6488ef7923c9baa1a656d1cded290", "title": "Command Filter-Based Adaptive Neural Tracking Controller Design for Uncertain Switched Nonlinear Output-Constrained Systems", "addresses": [{"name": "BoHai University", "source_name": "BoHai University, JinZhou, China", "street_adddress": "19 Keji Rd, Taihe Qu, Jinzhou Shi, Liaoning Sheng, China, 121000", "lat": "41.08656400", "lng": "121.11885400", "type": "edu", "country": "China"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815382"]}, {"id": "2f27b2e9905e5a5bb1ce7294fe121ba236eae27f", "title": "Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117386"]}, {"id": "689d6bc6e99bbfedfabc0654724139348dbae37c", "title": "Object-Level Video Advertising: An Optimization Framework", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558199", "http://doi.org/10.1109/TII.2016.2605629"]}, {"id": "54372f57bc6b1cfffc894a54b1066abb5d439af2", "title": "A novel IoT-based wireless system to monitor heart rate: student research abstract", "addresses": [{"name": "Miami University", "source_name": "Miami University", "street_adddress": "1601 University Blvd, Hamilton, OH 45011, USA", "lat": "39.37778800", "lng": "-84.56301210", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019929"]}, {"id": "0dc96e05b0e7471528e00815f0802bbb5945be4a", "title": "Implications of Emotion Expressivity for Daily and Trait Interpersonal and Intrapersonal Functioning Across Ethnic Groups", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dc9/6e05b0e7471528e00815f0802bbb5945be4a.pdf"], "doi": []}, {"id": "9cc578662a1d8f7e2ae869a22b586dc0e53c6e38", "title": "De-emphasizing Content to Study the Relationship between Meaning, Messages, and Content in IM Systems", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3064719"]}, {"id": "526f6f282f7374bffad41cee80be4bafc5c837a1", "title": "What You Don \u2019 t Know Can Help You in School Assignment", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/526f/6f282f7374bffad41cee80be4bafc5c837a1.pdf"], "doi": []}, {"id": "f3db61376ef74e192f74c1e81d9d31e5ecd46dcd", "title": "From Fair Decision Making To Social Equality", "addresses": [{"name": "American University of Beirut", "source_name": "American University of Beirut, Beirut, Lebanon", "street_adddress": "Bliss, Bayrut, Lebanon", "lat": "33.90083590", "lng": "35.48074400", "type": "edu", "country": "Lebanon"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287599"]}, {"id": "36b67b24a9fef6f7b383f1aff2500e07d58978d1", "title": "Credit Constraints and Demand for Higher Education: Evidence from Financial Deregulation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://mpra.ub.uni-muenchen.de/48726/1/MPRA_paper_48726.pdf"], "doi": ["https://doi.org/10.1162/REST_a_00558"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "2a56621c1f614a432ba3a945771c05433e2ccb6e", "title": "Sensorimotor-Conceptual Integration in Free Walking Enhances Divergent Thinking for Young and Older Adults", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2a56/621c1f614a432ba3a945771c05433e2ccb6e.pdf"], "doi": []}, {"id": "2e1e55e6299dca046e6e356145ee3c4f42b23cd3", "title": "Opportunities and obstacles for deep learning in biology and medicine", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Vanderbilt University", "source_name": "Vanderbilt Univ., Nashville, TN, USA", "street_adddress": "2201 West End Ave, Nashville, TN 37235, USA", "lat": "36.14470340", "lng": "-86.80265510", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18c4/f0bddcb89e23af5b7e75fe41af61615d39e2.pdf"], "doi": []}, {"id": "f971122f3b3d38e399c976b87bb5984b721a2139", "title": "Expressive genetic programming: concepts and applications", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3207867"]}, {"id": "d37127fc436a4c6456230e1caf0065d877eb9dcb", "title": "Continuous user authentication via unlabeled phone movement patterns", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272696"]}, {"id": "64147ef0108de9de438db2b9e1abbf956d3faea6", "title": "On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution", "addresses": [{"name": "Adobe Research, Bangalore, India", "source_name": "Adobe Research, Bangalore, India", "street_adddress": "Adobe Tower, Block A, Prestige Platina Tech Park, Marathahalli-Sarjapur Outer Ring Rd, Bhoganahalli Village, Varthur Hobli, Kadubeesanahalli, Bengaluru, Karnataka 560087, India", "lat": "12.94390340", "lng": "77.69684670", "type": "company", "country": "India"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8338444"]}, {"id": "0cd7e263e7a2de2b6e38e99acc182aa159f87221", "title": "Supporting Whole-Class Collaborative Inquiry in a Secondary Mathematics Classroom", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cd7/e263e7a2de2b6e38e99acc182aa159f87221.pdf"], "doi": []}, {"id": "79e16fc0d483075ffb05ef607e81c89c830ec63e", "title": "Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840054"]}, {"id": "0419539267659c9bcdd352bf0d8f0fccbfa974e9", "title": "The Facebook Paradox: Effects of Facebooking on Individuals\u2019 Social Relationships and Psychological Well-Being", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0419/539267659c9bcdd352bf0d8f0fccbfa974e9.pdf"], "doi": []}, {"id": "0e130906680ffa8e29d9b9b8257d85e9345dff0b", "title": "Solution and Analysis of TDOA Localization of a Near or Distant Source in Closed Form", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8521706"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "16286e98c638bd3a45bb8d7f4f97dcababa32654", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698561"]}, {"id": "b2003ddc62db9aea4eaebf63c5238491ab1f14a4", "title": "Approximate Discovery of Functional Dependencies for Large Datasets", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983781"]}, {"id": "0334d06fe8cc1fb5e337fd8dffe58fcabf7cb7b4", "title": "Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300019"]}, {"id": "bd88b46cb8420c9937925e0343058e731e373705", "title": "Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Technical University of Denmark", "source_name": "Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark", "street_adddress": "Bygning 324, 2800 Kongens Lyngby, Denmark", "lat": "55.78385100", "lng": "12.51846160", "type": "edu", "country": "Denmark"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://exordio.qfb.umich.mx/archivos%20PDF%20de%20trabajo%20UMSNH/2016/CellT.pdf", "http://orbit.dtu.dk/files/140198020/befo_nihms806693.pdf", "http://www.immunology.umn.edu/sites/immunology.umn.edu/files/science.aaf1490.full_.pdf"], "doi": ["https://doi.org/10.1126/science.aaf1490", "https://www.ncbi.nlm.nih.gov/pubmed/26940869"]}, {"id": "3312eb79e025b885afe986be8189446ba356a507", "title": "MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07027.pdf"], "doi": []}, {"id": "eb2b4eeaccf52725c51efaee5648fc08cc0946a7", "title": "Function Point Analysis for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962613"]}, {"id": "88557e79a4a9a40bb9252efff475fabb36df27be", "title": "Preliminary Causal Discovery Results with Software Effort Estimation Data", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172876"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "995e7bc1f833347844468a4b77e3900d2997f5e1", "title": "Using Software Non-Functional Assessment Process to Complement Function Points for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962615"]}, {"id": "9f7970f363fc70bc01449f3b0596a00344400987", "title": "TransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2906395"]}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "131fdffb1abee1d57f304684ba3bfb29a053ae86", "title": "Multiple mechanisms disrupt the let-7 microRNA family in neuroblastoma", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://collinslab.mit.edu/files/nature_daley.pdf"], "doi": ["https://doi.org/10.1038/nature18632", "https://dspace.mit.edu/openaccess-disseminate/1721.1/107912", "https://www.ncbi.nlm.nih.gov/pubmed/27383785"]}, {"id": "bbf91d2053571dcf511022ddf1b28a5ee3146fa6", "title": "Gut Microbiota Linked to Sexual Preference and HIV Infection.", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://edoc.mdc-berlin.de/15521/1/15521oa.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27077120", "https://doi.org/10.1016/j.ebiom.2016.01.032"]}, {"id": "a0cead1e49aaf62808f7c747cd192180dcc45cf9", "title": "COSMIC Function Points Evaluation for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172874"]}, {"id": "33858d13c6d294cabf8d0b6683344c4c1d6faa34", "title": "A Hybrid Approach to Functional Dependency Discovery", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2915203"]}, {"id": "68fe091f842c50a1776d6a250ce9b78dd7aeca8b", "title": "A fast and scalable hardware architecture for K-means clustering for big data analysis", "addresses": [{"name": "University of Mumbai", "source_name": "Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India", "street_adddress": "Plot No. 12, Sector-22, Opp. Nerul Railway Station, Phase II, Nerul West, Navi Mumbai, Maharashtra 400706, India", "lat": "19.02964890", "lng": "73.01666930", "type": "edu", "country": "India"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68fe/091f842c50a1776d6a250ce9b78dd7aeca8b.pdf"], "doi": []}, {"id": "bc79a0064582844c762ee329582b5570e59276f9", "title": "Analyzing the relationship between project productivity and environment factors in the use case points method", "addresses": [{"name": "University of Sharjah", "source_name": "University of Sharjah, Sharjah, United Arab Emirates", "street_adddress": "University City Rd - Sharjah - United Arab Emirates", "lat": "25.28677080", "lng": "55.47837140", "type": "edu", "country": "United Arab Emirates"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09920.pdf"], "doi": []}, {"id": "f5ca8690fc68cb82f6f669ba1dc8e2d5a9318707", "title": "Comparative Analysis of Six Lagerstroemia Complete Chloroplast Genomes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Beijing Forestry University", "source_name": "Beijing Forestry University, Beijing, China", "street_adddress": "35 Qinghua E Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "40.00448800", "lng": "116.34997230", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f5ca/8690fc68cb82f6f669ba1dc8e2d5a9318707.pdf"], "doi": []}, {"id": "6d82e835688d67f52a871ca0c1db0bbff33453a9", "title": "Interpreting the prediction process of a deep network constructed from supervised topic models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472113"]}, {"id": "8af9f7c920a87acb3ae127756f498a51b535790a", "title": "Exploring Contextual Engagement for Trauma Recovery", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Boult_Exploring_Contextual_Engagement_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015015", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.281", "http://doi.org/10.1109/CVPRW.2017.281"]}, {"id": "1060cadfc32dcaae347e09a74246a80445e0f4ef", "title": "Denial of Service Attack Detection using Multivariate Correlation Analysis", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905159"]}, {"id": "43e2f4b40af45559e96c54c59d3d01e8fb443bbf", "title": "Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}, {"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015165"]}, {"id": "f5272cb770c0bd4e04444b3c12669af58e5f1365", "title": "The Complete Chloroplast Genome Sequences of Five Epimedium Species: Lights into Phylogenetic and Taxonomic Analyses", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f527/2cb770c0bd4e04444b3c12669af58e5f1365.pdf"], "doi": []}, {"id": "664beeaad85c56c03019566eee8593b19ade263a", "title": "Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7296638"]}, {"id": "57955688c5abc9c2c945671a97dcb13d2401a3f0", "title": "Secure Data Obfuscation Scheme to Enable Privacy-Preserving State Estimation in Smart Grid AMI Networks", "addresses": [{"name": "Southern Illinois University", "source_name": "Southern Illinois University, Carbondale, USA", "street_adddress": "1263 Lincoln Dr, Carbondale, IL 62901, USA", "lat": "37.71002090", "lng": "-89.22259410", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360878"]}, {"id": "1c07af6771dac498afe3c2190d72e8af186c69ee", "title": "The endosomal transcriptional regulator RNF11 integrates degradation and transport of EGFR", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e95a/598da00fb09f21655d0943a429292891215b.pdf"], "doi": []}, {"id": "dc2570ee8338bdb782cad19c265c970a29a2334d", "title": "Data-Driven Techniques in Disaster Information Management", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3017678"]}, {"id": "9a28965f632e0df7ee1354c2036361285005c965", "title": "Nrf2 is the key to chemotherapy resistance in MCF7 breast cancer cells under hypoxia", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9a28/965f632e0df7ee1354c2036361285005c965.pdf"], "doi": []}, {"id": "c1f90da3285e979bf5f9e5bcf6f98df6dd2d835c", "title": "Spatial Genetic Structure of the Abundant and Widespread Peatmoss Sphagnum magellanicum Brid.", "addresses": [{"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c1f9/0da3285e979bf5f9e5bcf6f98df6dd2d835c.pdf"], "doi": []}, {"id": "1897e4ffc0773559f3f0f2885ea0438c96f9acbd", "title": "Improving the Quality of Recommendations for Users and Items in the Tail of Distribution", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052769"]}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "504c7e68cade9fa9f22e702736ecc9bf7cec53aa", "title": "Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04397.pdf"], "doi": []}, {"id": "3f9cc53b4ee7e1960de131a43b68c749d1752336", "title": "New Expenditure Data in the Panel Study of Income Dynamics: Comparisons with the Consumer Expenditure Survey Data", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f9c/c53b4ee7e1960de131a43b68c749d1752336.pdf"], "doi": []}, {"id": "611dc86c37f56d11683b437e28a4c2b7dab4f189", "title": "Future perspectives in melanoma research \u201cMelanoma Bridge\u201d, Napoli, November 30th\u20133rd December 2016", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://translational-medicine.biomedcentral.com/track/pdf/10.1186/s12967-017-1341-2?site=translational-medicine.biomedcentral.com", "https://www.zora.uzh.ch/id/eprint/142690/1/730_Ascierto_PA_._et_al._Future_perspectives_in_melanoma_research_J_Transl_Med._2017.pdf"], "doi": ["https://doi.org/10.1186/s12967-017-1341-2", "https://www.ncbi.nlm.nih.gov/pubmed/29145885"]}, {"id": "2edaa17229438130a487af1fa5c0bdf66df13e4b", "title": "Metamorphic Testing: A Review of Challenges and Opportunities", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Victoria University", "source_name": "Victoria University, Melbourne, Australia", "street_adddress": "Ballarat Rd, Footscray VIC 3011, Australia", "lat": "-37.79369300", "lng": "144.89873400", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143561"]}, {"id": "0cfa5f47c828429132fda7b7e251824958993249", "title": "Overexpression of Specific CD44 Isoforms Is Associated with Aggressive Cell Features in Acquired Endocrine Resistance", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0cfa/5f47c828429132fda7b7e251824958993249.pdf"], "doi": []}, {"id": "4523c9185a0ceb4f90a2c33ff1e259fa29d7679b", "title": "A Comprehensive Genomic Analysis Reveals the Genetic Landscape of Mitochondrial Respiratory Chain Complex Deficiencies", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4523/c9185a0ceb4f90a2c33ff1e259fa29d7679b.pdf"], "doi": []}, {"id": "d4c51aa0ee02855ec8b70663c9d2a0c71b0d6b07", "title": "Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling", "addresses": [{"name": "Leiden University Medical Center", "source_name": "Division of Image Processing, Leiden University Medical Center, Netherlands", "street_adddress": "Albinusdreef 2, 2333 ZA Leiden, Netherlands", "lat": "52.16770960", "lng": "4.47747360", "type": "edu", "country": "Netherlands"}, {"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d4c5/1aa0ee02855ec8b70663c9d2a0c71b0d6b07.pdf"], "doi": []}, {"id": "29f0da62e38843381bf358f333734ade69f2aecb", "title": "Ribosome reinitiation can explain length-dependent translation of messenger RNA", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5cc1/0b0a0f8ab4b651ccb5059493c42dc8f06836.pdf"], "doi": []}]} \ No newline at end of file +{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "paper": {"key": "uccs", "name": "UCCS", "title": "Large scale unconstrained open set face database", "year": "2013", "addresses": [{"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}]}, "citations": [{"id": "c50e498ede6f5216cffd0645e747ce67fae2096a", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Institute of Information Engineering, CAS, Beijing, China", "source_name": "Institute of Information Engineering, CAS, Beijing, China", "street_adddress": "Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042", "lat": "39.97426000", "lng": "116.21589000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09998.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04153.pdf"], "doi": []}, {"id": "3531332efe19be21e7401ba1f04570a142617236", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "e94c2c9be4abd121d3d601bfff27edf35f3514ad", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "efc8359dd8aa725da5dbf38bffcb691d6c99d631", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8554301"]}, {"id": "7fcdace7dcdf40fac377d88c116280ee1b416fcc", "title": "PAWE: Polysemy Aware Word Embeddings", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206101"]}, {"id": "449ec968566a7f46192a6af8a4c5ee127c5bf1e4", "title": "Scanning the Science-Society Horizon", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/449e/c968566a7f46192a6af8a4c5ee127c5bf1e4.pdf"], "doi": []}, {"id": "91844097804b8875731c0ae51e5986552c992f91", "title": "Intentions to seek counseling in first-generation and continuing-generation college students.", "addresses": [{"name": "University of Denver", "source_name": "University of Denver", "street_adddress": "University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA", "lat": "39.67665410", "lng": "-104.96220300", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9184/4097804b8875731c0ae51e5986552c992f91.pdf"], "doi": []}, {"id": "01e851ac46b059ab3a3d94da8d2a38c1a9996726", "title": "Excessive use of WeChat, social interaction and locus of control among college students in China", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/01e8/51ac46b059ab3a3d94da8d2a38c1a9996726.pdf"], "doi": []}, {"id": "4d6cf87596fc2dfe0b8ba58286be65dcf08aa248", "title": "Psychological Help-seeking Intentions among Filipino College Students Across Three Common Problem Areas : A Replication Study", "addresses": [{"name": "De La Salle University", "source_name": "De La Salle University, Manila, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d6c/f87596fc2dfe0b8ba58286be65dcf08aa248.pdf"], "doi": []}, {"id": "f2f16ff81eaa9f64803532e93f613e972582ac32", "title": "Current Alcohol Use is Associated with Sleep Patterns in First-Year College Students.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f2f1/6ff81eaa9f64803532e93f613e972582ac32.pdf"], "doi": []}, {"id": "5309e88ae3da04eca9b2b052281bac63c606ad7b", "title": "Cognitive reappraisal and expressive suppression: Links to racial-ethnic discrimination and adjustment among Latino/a and Asian-heritage college students.", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.csun.edu/~qhuynh/Research_files/JA2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27598799", "https://doi.org/10.1016/j.adolescence.2016.08.012"]}, {"id": "13097de9da0dee93fa2fe61e9d6aaa55f056ec03", "title": "Examining the Relationships of Image and Attitude on Visit Intention to Korea among Tanzanian College Students : The Moderating Effect of Familiarity", "addresses": [{"name": "Inha University", "source_name": "Intelligent Technology Laboratory, Inha University, Incheon, Korea", "street_adddress": "100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea", "lat": "37.45002210", "lng": "126.65348800", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1309/7de9da0dee93fa2fe61e9d6aaa55f056ec03.pdf"], "doi": []}, {"id": "8164adef945207810ed22e59b63695ac93b7f463", "title": "Evaluating the invariance of the Multigroup Ethnic Identity Measure across foreign-born, second-generation and later-generation college students in the United States.", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8164/adef945207810ed22e59b63695ac93b7f463.pdf"], "doi": []}, {"id": "e3fc33b0d4c4df8510aacdb82a74d05a26c65c5b", "title": "AGE , ATTENTION , AND OTS IN A CONSTRAINED VS UNCONSTRAINED TASK", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3fc/33b0d4c4df8510aacdb82a74d05a26c65c5b.pdf"], "doi": []}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "addresses": [{"name": "Northeastern State University", "source_name": "Northeastern State University, OK, USA", "street_adddress": "600 N Grand Ave, Tahlequah, OK 74464, USA", "lat": "35.92114100", "lng": "-94.96590400", "type": "edu", "country": "United States"}, {"name": "Shanghai University of Engineering Science", "source_name": "Shanghai University of Engineering Science, Shanghai, China", "street_adddress": "333 Longteng Rd, Songjiang Qu, Shanghai Shi, China", "lat": "31.05723000", "lng": "121.20843700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307067", "http://doi.org/10.1109/ACCESS.2018.2812794"]}, {"id": "f8ec6a0dcb16db8759ff5ec8e6acaea63817496e", "title": "DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273639"]}, {"id": "dbf809ff1beeb9fc5c09c5c0e3e2aac0cf48e957", "title": "Demand Estimation in the College Admissions \u2019 Problem : Should We Assume Truth Telling ?", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbf8/09ff1beeb9fc5c09c5c0e3e2aac0cf48e957.pdf"], "doi": []}, {"id": "0dba189dfd7dba6bad4fc93a39aa86587242c157", "title": "Reciprocal Relationship between Internet Addiction and Network-Related Maladaptive Cognition among Chinese College Freshmen: A Longitudinal Cross-Lagged Analysis", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0dba/189dfd7dba6bad4fc93a39aa86587242c157.pdf"], "doi": []}, {"id": "16b59b54be4c26b709e7339c59cd4a382b4add32", "title": "College Students' Plans for Graduate or Professional School: a Comparison of Different Racial and Ethnic Groups", "addresses": [{"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/16b5/9b54be4c26b709e7339c59cd4a382b4add32.pdf"], "doi": []}, {"id": "1acee01a3d5c33435b109c2d290bc32848080944", "title": "Stan: A Probabilistic Programming Language.", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/70ae/78b587d23de70eeb024d708ed3981f1340ed.pdf"], "doi": []}, {"id": "fa364d25fc2ec5adf604c36c7a0a0bc09d66dee0", "title": "Work-life Balance Decision-making of Norwegian Students : Implications for Human Resources Management", "addresses": [{"name": "University of Agder", "source_name": "University of Agder", "street_adddress": "UiA, Vegard Hauges plass, Gimlemoen, Kvadraturen, Kristiansand, Vest-Agder, 4630, Norge", "lat": "58.16308805", "lng": "8.00144966", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab6f/87a44f9739805a78fd8ab62dfa784666d60e.pdf"], "doi": []}, {"id": "fa4d1db4d6fd47f2040a488b2b8abbbd65e663a3", "title": "Student Ownership of Projects in an Upper-Division Optics Laboratory Course: A Multiple Case Study of Successful Experiences.", "addresses": [{"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05378.pdf"], "doi": []}, {"id": "654dcab1b2f3bddd3c57559143c8161cfe6be5e0", "title": "Acculturation and School Adjustment of Immigrant Youth in Six European Countries: Findings from the Programme for International Student Assessment (PISA)", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}, {"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Denver", "source_name": "University of Denver", "street_adddress": "University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA", "lat": "39.67665410", "lng": "-104.96220300", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d27/99fd40ea1fc5e87450afa5b67c61a9371261.pdf"], "doi": []}, {"id": "272c5512b5f93a561e8aab6ba42a6b9d6ae81dfa", "title": "Primary Science Teaching to Bicolano Students : In Bicol , English or Filipino ?", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/272c/5512b5f93a561e8aab6ba42a6b9d6ae81dfa.pdf"], "doi": []}, {"id": "a3fb741ab4707b1641264dbb58b9a4ca633e7436", "title": "The Effects of Student Loans on the Provision and Demand for Higher Education \u2217", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3fb/741ab4707b1641264dbb58b9a4ca633e7436.pdf"], "doi": []}, {"id": "976fd3e7309660679ef21badc40c2a6824a15aae", "title": "Measuring Burnout Among University Students: Factorial Validity, Invariance, and Latent Profiles of the Italian Version of the Maslach Burnout Inventory Student Survey (MBI-SS)", "addresses": [{"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}, {"name": "Universidade de Lisboa, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/976f/d3e7309660679ef21badc40c2a6824a15aae.pdf"], "doi": []}, {"id": "8859e85f18363a70f573a6382c1fbd687b268253", "title": "Benefits and drawbacks of social non-drinking identified by British university students.", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://roar.uel.ac.uk/7209/1/2017_dar_Benefits%20and%20drawbacks%20of%20social%20non-drinking%20identified%20by%20British%20university%20students.pdf", "http://sro.sussex.ac.uk/71334/1/__smbhome.uscs.susx.ac.uk_ellenaj_Desktop_SRO_after%20august_Conroy_deVisser_inPress_BenefitsNondrinking.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28940414", "https://doi.org/10.1111/dar.12610"]}, {"id": "d1012d6588475ecede84d99652903152db597221", "title": "Student Attitudes ( ASSA ) : A Short Review And Validation Of A New Instrument", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}, {"name": "Monash University", "source_name": "Monash University", "street_adddress": "Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.78397455", "lng": "144.95867433", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d101/2d6588475ecede84d99652903152db597221.pdf"], "doi": []}, {"id": "4e80f061253bd916f3f4a7ca7e38dac9cd0dbe50", "title": "WHY DO I STUDY ? THE MEDIATING EFFECT OF MOTIVATION AND SElF-rEGUlATION ON STUDENT PErFOrMANCE", "addresses": [{"name": "Maranatha Christian University", "source_name": "Faculty of Information Technology, Maranatha Christian University, Indonesia", "street_adddress": "M.P.H, Jl. Surya Sumantri No.65, Sukawarna, Sukajadi, Kota Bandung, Jawa Barat 40164, Indonesia", "lat": "-6.88647290", "lng": "107.58072670", "type": "edu", "country": "Indonesia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e80/f061253bd916f3f4a7ca7e38dac9cd0dbe50.pdf"], "doi": []}, {"id": "07a5c4ba84268708146aa4bf5cad9491b3e35051", "title": "Deep Reinforcement Learning for Dialogue Generation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01541.pdf"], "doi": []}, {"id": "ef6236823a515f7e34c970b32f3dc19d4c1cf6a9", "title": "Direct manipulation is better than passive viewing for learning anatomy in a three-dimensional virtual reality environment", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.tc.columbia.edu/faculty/jbb21/faculty-profile/files/JangVitaleBlack-Virtual-CAE.pdf"], "doi": ["https://doi.org/10.1016/j.compedu.2016.12.009"]}, {"id": "2ece3dcd35d56acacf7979e47e6965a7caa752ff", "title": "HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591265"]}, {"id": "5698cacd11c41136be51c0a05a0400f7510618d0", "title": "Using wavelets to categorize student attention patterns", "addresses": [{"name": "Mississippi State University", "source_name": "Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA", "street_adddress": "200 Research Blvd, Starkville, MS 39759, USA", "lat": "33.47359400", "lng": "-88.79354200", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7757403"]}, {"id": "9b2320fe87ac907ad23c974fd2944fa1cb1b2f30", "title": "Leveraging Digital Communities of Practice: How Asynchronous Digital Collaboration Afforded a Complex Reading/Writing Dialogue for Secondary School Students", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b23/20fe87ac907ad23c974fd2944fa1cb1b2f30.pdf"], "doi": []}, {"id": "a79682e071c5cd224844e05a0f06b29621df1b8f", "title": "Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927754"]}, {"id": "b41d585246360646c677a8238ec35e8605b083b0", "title": "Student engagement study based on multi-cue detection and recognition in an intelligent learning environment", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6017-2"]}, {"id": "ca2961d5f65695b4455be6b671a27f2eb0b43b24", "title": "Why Students Fail in History : A Minor Case Study in Malaysia and Solutions from Cognitive Psychology Perspective", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ca29/61d5f65695b4455be6b671a27f2eb0b43b24.pdf"], "doi": []}, {"id": "88817b645d4843e366f3aa2a252e428a831548bc", "title": "Parental Support , Savings and Student Loan Repayment \u2217", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8881/7b645d4843e366f3aa2a252e428a831548bc.pdf"], "doi": []}, {"id": "e3c4dfc3272f515d28f60c5013e784b5d85c6a30", "title": "The Relation between Maternal Work Hours and Primary School Students\u2019 Affect in China: The Role of the Frequency of Mother\u2013Child Communication (FMCC) and Maternal Education", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}, {"name": "Hebei University", "source_name": "Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China", "street_adddress": "Baoding, Hebei, China", "lat": "38.87443400", "lng": "115.46458900", "type": "edu", "country": "China"}, {"name": "Shaanxi Normal University", "source_name": "Shaanxi Normal University, Xi\u2019an, China", "street_adddress": "China, Shaanxi, Xi'an, Chang'an, \u957f\u5b89\u5357\u8def", "lat": "34.15759600", "lng": "108.89340800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}, {"name": "Universiti Sains Malaysia, Malaysia", "source_name": "Universiti Sains Malaysia, Malaysia", "street_adddress": "11800 Gelugor, Penang, Malaysia", "lat": "5.35593370", "lng": "100.30251770", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3c4/dfc3272f515d28f60c5013e784b5d85c6a30.pdf"], "doi": []}, {"id": "091c511cdfd389a53e53fe034cbd19951a77764e", "title": "Effect of Gender , Guilt , and Shame on BYU Business School Students \u2019 Innovatio n : Structural Equation Modeling Approach", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/091c/511cdfd389a53e53fe034cbd19951a77764e.pdf"], "doi": []}, {"id": "8b8db6e602e0854c2497724370d460db248cb81e", "title": "Disabled Student Voice on Online Video Lectures: A Small Step towards Blended Learning Approaches in an Inclusive Curriculum Design", "addresses": [{"name": "Birmingham City University", "source_name": "Birmingham City University, Birmingham, UK", "street_adddress": "University House, 15 Bartholomew Row, Birmingham B5 5JU, UK", "lat": "52.48227400", "lng": "-1.88882010", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8b8d/b6e602e0854c2497724370d460db248cb81e.pdf"], "doi": []}, {"id": "8eaf745e688e715e967da4208b866e1005c5fda5", "title": "2018 2018-2 Parental Support , Savings and Student Loan Repayment", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8eaf/745e688e715e967da4208b866e1005c5fda5.pdf"], "doi": []}, {"id": "d37debed1e77ca82e8969cc91b6e18b0888cebaa", "title": "From mechanic to designer: Evolving perceptions of elementary students over three years of engineering instruction", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d37d/ebed1e77ca82e8969cc91b6e18b0888cebaa.pdf"], "doi": []}, {"id": "6b687cafa042f0342ace8aeeca1dd566ae96eab9", "title": "The impact of blogging on the facilitation of critical literacy in adolescent students", "addresses": [{"name": "Rowan University", "source_name": "Rowan University", "street_adddress": "Rowan University, Esbjornson Walk, Glassboro, Gloucester County, New Jersey, 08028, USA", "lat": "39.71035260", "lng": "-75.11932666", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b68/7cafa042f0342ace8aeeca1dd566ae96eab9.pdf"], "doi": []}, {"id": "6fca28477e788950d8adecd0b18e6eac45d80a30", "title": "Deep Learning Based Binaural Speech Separation in Reverberant Environments", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886357"]}, {"id": "d41d2f7753d91e51d54e7d22953e7bbd1dda9f36", "title": "Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli.", "addresses": [{"name": "City College of New York", "source_name": "The City College of New York, New York, NY 10031, USA", "street_adddress": "CCNY, 160, Convent Avenue, Manhattanville, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10031, USA", "lat": "40.81819805", "lng": "-73.95100898", "type": "edu", "country": "United States"}, {"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eb21/1cc118a749849e34185d18e02933bc182e2a.pdf"], "doi": []}, {"id": "59c31447cc06c007b7f63cc4b8a183c739ed9de2", "title": "Revisiting detection thresholds for redirected walking: combining translation and curvature gains", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2931018"]}, {"id": "6498e11d48b8ccf641848e77f83d6af051f7e2c2", "title": "Linear Algebraic Structure of Word Senses, with Applications to Polysemy", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1601.03764.pdf"], "doi": []}, {"id": "41d36a4a62daec60df005c2494f15962e76fc68a", "title": "An Indoor Location-Aware System for an IoT-Based Smart Museum", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7348638"]}, {"id": "3086806c88f1be5fe8dbe894bf30fe8aa9402259", "title": "Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges.", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3086/806c88f1be5fe8dbe894bf30fe8aa9402259.pdf"], "doi": []}, {"id": "89c894c5d3a6488ef7923c9baa1a656d1cded290", "title": "Command Filter-Based Adaptive Neural Tracking Controller Design for Uncertain Switched Nonlinear Output-Constrained Systems", "addresses": [{"name": "BoHai University", "source_name": "BoHai University, JinZhou, China", "street_adddress": "19 Keji Rd, Taihe Qu, Jinzhou Shi, Liaoning Sheng, China, 121000", "lat": "41.08656400", "lng": "121.11885400", "type": "edu", "country": "China"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815382"]}, {"id": "2f27b2e9905e5a5bb1ce7294fe121ba236eae27f", "title": "Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117386"]}, {"id": "689d6bc6e99bbfedfabc0654724139348dbae37c", "title": "Object-Level Video Advertising: An Optimization Framework", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558199", "http://doi.org/10.1109/TII.2016.2605629"]}, {"id": "54372f57bc6b1cfffc894a54b1066abb5d439af2", "title": "A novel IoT-based wireless system to monitor heart rate: student research abstract", "addresses": [{"name": "Miami University", "source_name": "Miami University", "street_adddress": "1601 University Blvd, Hamilton, OH 45011, USA", "lat": "39.37778800", "lng": "-84.56301210", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019929"]}, {"id": "859678607a6759b558a8c463996e52fcf9bce070", "title": "Perfectionism Is Increasing Over Time: A Meta-Analysis of Birth Cohort Differences From 1989 to 2016.", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8596/78607a6759b558a8c463996e52fcf9bce070.pdf"], "doi": []}, {"id": "0dc96e05b0e7471528e00815f0802bbb5945be4a", "title": "Implications of Emotion Expressivity for Daily and Trait Interpersonal and Intrapersonal Functioning Across Ethnic Groups", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dc9/6e05b0e7471528e00815f0802bbb5945be4a.pdf"], "doi": []}, {"id": "8197e29670539cf282e9cbf62fbf177d83cdfb55", "title": "All You Need Is Facebook Friends? Associations between Online and Face-to-Face Friendships and Health", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Dalhousie University", "source_name": "Dalhousie University, Halifax, NS, Canada", "street_adddress": "6299 South St, Halifax, NS B3H 4R2, Canada", "lat": "44.63658120", "lng": "-63.59165550", "type": "edu", "country": "Canada"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8197/e29670539cf282e9cbf62fbf177d83cdfb55.pdf"], "doi": []}, {"id": "9cc578662a1d8f7e2ae869a22b586dc0e53c6e38", "title": "De-emphasizing Content to Study the Relationship between Meaning, Messages, and Content in IM Systems", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3064719"]}, {"id": "526f6f282f7374bffad41cee80be4bafc5c837a1", "title": "What You Don \u2019 t Know Can Help You in School Assignment", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/526f/6f282f7374bffad41cee80be4bafc5c837a1.pdf"], "doi": []}, {"id": "f3db61376ef74e192f74c1e81d9d31e5ecd46dcd", "title": "From Fair Decision Making To Social Equality", "addresses": [{"name": "American University of Beirut", "source_name": "American University of Beirut, Beirut, Lebanon", "street_adddress": "Bliss, Bayrut, Lebanon", "lat": "33.90083590", "lng": "35.48074400", "type": "edu", "country": "Lebanon"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287599"]}, {"id": "36b67b24a9fef6f7b383f1aff2500e07d58978d1", "title": "Credit Constraints and Demand for Higher Education: Evidence from Financial Deregulation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://mpra.ub.uni-muenchen.de/48726/1/MPRA_paper_48726.pdf"], "doi": ["https://doi.org/10.1162/REST_a_00558"]}, {"id": "a9ff91ee66a3693405d381e8c8fc3ff878860bbc", "title": "The Impact of Bodily States on Divergent Thinking: Evidence for a Control-Depletion Account", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}, {"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a9ff/91ee66a3693405d381e8c8fc3ff878860bbc.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "2a56621c1f614a432ba3a945771c05433e2ccb6e", "title": "Sensorimotor-Conceptual Integration in Free Walking Enhances Divergent Thinking for Young and Older Adults", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2a56/621c1f614a432ba3a945771c05433e2ccb6e.pdf"], "doi": []}, {"id": "2e1e55e6299dca046e6e356145ee3c4f42b23cd3", "title": "Opportunities and obstacles for deep learning in biology and medicine", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Vanderbilt University", "source_name": "Vanderbilt Univ., Nashville, TN, USA", "street_adddress": "2201 West End Ave, Nashville, TN 37235, USA", "lat": "36.14470340", "lng": "-86.80265510", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18c4/f0bddcb89e23af5b7e75fe41af61615d39e2.pdf"], "doi": []}, {"id": "f971122f3b3d38e399c976b87bb5984b721a2139", "title": "Expressive genetic programming: concepts and applications", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3207867"]}, {"id": "44ea15861a350a5bd7f3c50e2ef26e835bf43185", "title": "Robust estimation of risks from small samples.", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1311.5052.pdf"], "doi": []}, {"id": "d37127fc436a4c6456230e1caf0065d877eb9dcb", "title": "Continuous user authentication via unlabeled phone movement patterns", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272696"]}, {"id": "64147ef0108de9de438db2b9e1abbf956d3faea6", "title": "On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution", "addresses": [{"name": "Adobe Research, Bangalore, India", "source_name": "Adobe Research, Bangalore, India", "street_adddress": "Adobe Tower, Block A, Prestige Platina Tech Park, Marathahalli-Sarjapur Outer Ring Rd, Bhoganahalli Village, Varthur Hobli, Kadubeesanahalli, Bengaluru, Karnataka 560087, India", "lat": "12.94390340", "lng": "77.69684670", "type": "company", "country": "India"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8338444"]}, {"id": "0cd7e263e7a2de2b6e38e99acc182aa159f87221", "title": "Supporting Whole-Class Collaborative Inquiry in a Secondary Mathematics Classroom", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cd7/e263e7a2de2b6e38e99acc182aa159f87221.pdf"], "doi": []}, {"id": "8b4ad4aa6d8c8611c59a40a1b63975f51ee9ae87", "title": "Sub-decadal variations in outlet glacier terminus positions in Victoria Land, Oates Land and George V Land, East Antarctica (1972\u20132013)", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8828/9fab20355505a4653c63ef7e81bada4a2ad0.pdf"], "doi": []}, {"id": "79e16fc0d483075ffb05ef607e81c89c830ec63e", "title": "Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840054"]}, {"id": "a8dd4219745c5f3b840bb09ab882a574823161bb", "title": "Faster Teaching via POMDP Planning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cocosci.berkeley.edu/tom/papers/FasterTeachPOMDPPlanning.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26400190", "https://doi.org/10.1111/cogs.12290", "https://www.wikidata.org/entity/Q43731036"]}, {"id": "0419539267659c9bcdd352bf0d8f0fccbfa974e9", "title": "The Facebook Paradox: Effects of Facebooking on Individuals\u2019 Social Relationships and Psychological Well-Being", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0419/539267659c9bcdd352bf0d8f0fccbfa974e9.pdf"], "doi": []}, {"id": "0e130906680ffa8e29d9b9b8257d85e9345dff0b", "title": "Solution and Analysis of TDOA Localization of a Near or Distant Source in Closed Form", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8521706"]}, {"id": "bfdc9ff45db76fce9054476e35739a36199d026b", "title": "Becoming physics people : Development of integrated physics identity through the Learning Assistant experience", "addresses": [{"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bfdc/9ff45db76fce9054476e35739a36199d026b.pdf"], "doi": []}, {"id": "a1b3da114b3c85feec014a26d8c88cb2e1730419", "title": "Reducing prejudice and promoting positive intergroup attitudes among elementary-school children in the context of the Israeli-Palestinian conflict.", "addresses": [{"name": "Ben-Gurion University of the Negev", "source_name": "Ben-Gurion University of the Negev, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://coller.tau.ac.il/sites/coller-english.tau.ac.il/files/media_server/Recanati/management/publications/tadmor/Reducingprejudiceinchildren.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27425566", "https://doi.org/10.1016/j.jsp.2016.04.003"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "16286e98c638bd3a45bb8d7f4f97dcababa32654", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698561"]}, {"id": "b2003ddc62db9aea4eaebf63c5238491ab1f14a4", "title": "Approximate Discovery of Functional Dependencies for Large Datasets", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983781"]}, {"id": "0334d06fe8cc1fb5e337fd8dffe58fcabf7cb7b4", "title": "Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300019"]}, {"id": "89e411cc7e7828d9a28e3def4533295e3b5bd6ac", "title": "[2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure].", "addresses": [{"name": "Wroclaw Medical University", "source_name": "Wroclaw Medical University, Wroclaw, Poland", "street_adddress": "Rektorat, wybrze\u017ce Ludwika Pasteura 1, 50-367 Wroc\u0142aw, Poland", "lat": "51.10891470", "lng": "17.06888650", "type": "edu", "country": "Poland"}, {"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/89e4/11cc7e7828d9a28e3def4533295e3b5bd6ac.pdf"], "doi": []}, {"id": "bd88b46cb8420c9937925e0343058e731e373705", "title": "Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Technical University of Denmark", "source_name": "Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark", "street_adddress": "Bygning 324, 2800 Kongens Lyngby, Denmark", "lat": "55.78385100", "lng": "12.51846160", "type": "edu", "country": "Denmark"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://exordio.qfb.umich.mx/archivos%20PDF%20de%20trabajo%20UMSNH/2016/CellT.pdf", "http://orbit.dtu.dk/files/140198020/befo_nihms806693.pdf", "http://www.immunology.umn.edu/sites/immunology.umn.edu/files/science.aaf1490.full_.pdf"], "doi": ["https://doi.org/10.1126/science.aaf1490", "https://www.ncbi.nlm.nih.gov/pubmed/26940869"]}, {"id": "3312eb79e025b885afe986be8189446ba356a507", "title": "MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07027.pdf"], "doi": []}, {"id": "eb2b4eeaccf52725c51efaee5648fc08cc0946a7", "title": "Function Point Analysis for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962613"]}, {"id": "88557e79a4a9a40bb9252efff475fabb36df27be", "title": "Preliminary Causal Discovery Results with Software Effort Estimation Data", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172876"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "995e7bc1f833347844468a4b77e3900d2997f5e1", "title": "Using Software Non-Functional Assessment Process to Complement Function Points for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962615"]}, {"id": "9f7970f363fc70bc01449f3b0596a00344400987", "title": "TransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2906395"]}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "131fdffb1abee1d57f304684ba3bfb29a053ae86", "title": "Multiple mechanisms disrupt the let-7 microRNA family in neuroblastoma", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://collinslab.mit.edu/files/nature_daley.pdf"], "doi": ["https://doi.org/10.1038/nature18632", "https://dspace.mit.edu/openaccess-disseminate/1721.1/107912", "https://www.ncbi.nlm.nih.gov/pubmed/27383785"]}, {"id": "bbf91d2053571dcf511022ddf1b28a5ee3146fa6", "title": "Gut Microbiota Linked to Sexual Preference and HIV Infection.", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://edoc.mdc-berlin.de/15521/1/15521oa.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27077120", "https://doi.org/10.1016/j.ebiom.2016.01.032"]}, {"id": "7ae0e6b1819feca421c58bca76661520a724288a", "title": "Chloroplast phylogenomic analyses reveal the deepest-branching lineage of the Chlorophyta, Palmophyllophyceae class. nov.", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.vliz.be/imisdocs/publications/290122.pdf", "https://biblio.ugent.be/publication/7257892/file/7257935.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27157793", "https://doi.org/10.1038/srep25367"]}, {"id": "c469253f09983e58633b258fd8b10b16a7661ede", "title": "Evolution of the global phosphorus cycle", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://reinhard.gatech.edu/uploads/5/4/1/0/54106417/reinhard_nature_2017_si.pdf", "http://web.gps.caltech.edu/~wfischer/pubs/Reinhardetal2017.pdf", "https://people.earth.yale.edu/sites/default/files/files/Planavsky/66_%20Reinhard_nature_2017.pdf"], "doi": ["https://doi.org/10.1038/nature20772", "https://www.ncbi.nlm.nih.gov/pubmed/28002400"]}, {"id": "21f4efddb7abea3c63a1c13486dc38b7ba6ee64a", "title": "Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "Aston University", "source_name": "Aston University", "street_adddress": "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "lat": "52.48620785", "lng": "-1.88849915", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/107e/c6ea50f2b62a6652ef23b2b868a164bdcc25.pdf"], "doi": []}, {"id": "a0cead1e49aaf62808f7c747cd192180dcc45cf9", "title": "COSMIC Function Points Evaluation for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172874"]}, {"id": "33858d13c6d294cabf8d0b6683344c4c1d6faa34", "title": "A Hybrid Approach to Functional Dependency Discovery", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2915203"]}, {"id": "68fe091f842c50a1776d6a250ce9b78dd7aeca8b", "title": "A fast and scalable hardware architecture for K-means clustering for big data analysis", "addresses": [{"name": "University of Mumbai", "source_name": "Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India", "street_adddress": "Plot No. 12, Sector-22, Opp. Nerul Railway Station, Phase II, Nerul West, Navi Mumbai, Maharashtra 400706, India", "lat": "19.02964890", "lng": "73.01666930", "type": "edu", "country": "India"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68fe/091f842c50a1776d6a250ce9b78dd7aeca8b.pdf"], "doi": []}, {"id": "eaa6119a857efd6843d0363841d8169ae7e2cf6c", "title": "Clinical, ultrasound and molecular biomarkers for early prediction of large for gestational age infants in nulliparous women: An international prospective cohort study", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}, {"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e52/666d28f306e6524bc5dd8e159ed135e8fec1.pdf"], "doi": []}, {"id": "5e0a6e47feba6fcba4cc64334e56e5107aa5eea5", "title": "Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6ca/fd08a286cf2323b72a2d5cbf02a668f53478.pdf"], "doi": []}, {"id": "bc79a0064582844c762ee329582b5570e59276f9", "title": "Analyzing the relationship between project productivity and environment factors in the use case points method", "addresses": [{"name": "University of Sharjah", "source_name": "University of Sharjah, Sharjah, United Arab Emirates", "street_adddress": "University City Rd - Sharjah - United Arab Emirates", "lat": "25.28677080", "lng": "55.47837140", "type": "edu", "country": "United Arab Emirates"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09920.pdf"], "doi": []}, {"id": "e18803b9506bb411690dffcc6050055cbdb0d722", "title": "Conflicting phylogenomic signals reveal a pattern of reticulate evolution in a recent high-Andean diversification (Asteraceae: Astereae: Diplostephium).", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://static1.squarespace.com/static/5065c999c4aac831ab270535/t/592f7bdbf5e2317ce97ee0d8/1496284125771/Vargas_et_al-2017-New_Phytologist.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28333396", "https://doi.org/10.1111/nph.14530"]}, {"id": "f5ca8690fc68cb82f6f669ba1dc8e2d5a9318707", "title": "Comparative Analysis of Six Lagerstroemia Complete Chloroplast Genomes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Beijing Forestry University", "source_name": "Beijing Forestry University, Beijing, China", "street_adddress": "35 Qinghua E Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "40.00448800", "lng": "116.34997230", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f5ca/8690fc68cb82f6f669ba1dc8e2d5a9318707.pdf"], "doi": []}, {"id": "b0a71efa0e830501246b0ba4f577cab8fb689c3a", "title": "Plastid Genome Comparative and Phylogenetic Analyses of the Key Genera in Fagaceae: Highlighting the Effect of Codon Composition Bias in Phylogenetic Inference", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Li\u00e8ge", "source_name": "Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Li\u00e8ge, Li\u00e8ge, Belgium", "street_adddress": "Grande Traverse 10, 4000 Li\u00e8ge, Belgium", "lat": "50.58596690", "lng": "5.56011930", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b0a7/1efa0e830501246b0ba4f577cab8fb689c3a.pdf"], "doi": []}, {"id": "6d82e835688d67f52a871ca0c1db0bbff33453a9", "title": "Interpreting the prediction process of a deep network constructed from supervised topic models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472113"]}, {"id": "8af9f7c920a87acb3ae127756f498a51b535790a", "title": "Exploring Contextual Engagement for Trauma Recovery", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Boult_Exploring_Contextual_Engagement_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015015", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.281", "http://doi.org/10.1109/CVPRW.2017.281"]}, {"id": "974faf12ef98578c8cec637c3c04e69bd959e957", "title": "The oral microbiota in colorectal cancer is distinctive and predictive", "addresses": [{"name": "National University of Ireland", "source_name": "National University of Ireland, Galway", "street_adddress": "University Rd, Galway, Ireland", "lat": "53.27702430", "lng": "-9.06148640", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/974f/af12ef98578c8cec637c3c04e69bd959e957.pdf"], "doi": []}, {"id": "5aa998cf8cb7b60627a6bfe29a569c7cca0f3644", "title": "Human Action Recognition from Multiple Views Based on View-Invariant Feature Descriptor Using Support Vector Machines", "addresses": [{"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5aa9/98cf8cb7b60627a6bfe29a569c7cca0f3644.pdf"], "doi": []}, {"id": "1060cadfc32dcaae347e09a74246a80445e0f4ef", "title": "Denial of Service Attack Detection using Multivariate Correlation Analysis", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905159"]}, {"id": "43e2f4b40af45559e96c54c59d3d01e8fb443bbf", "title": "Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}, {"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015165"]}, {"id": "4f0b7bb65a888059ddb56e9e51e98cffed1f95ed", "title": "Knockdown of long non-coding RNA PVT1 induces apoptosis and cell cycle arrest in clear cell renal cell carcinoma through the epidermal growth factor receptor pathway", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f0b/7bb65a888059ddb56e9e51e98cffed1f95ed.pdf"], "doi": []}, {"id": "20d9526b65b621d28c3a63bb28ac88f96304d326", "title": "Comparative Plastid Genomes of Primula Species: Sequence Divergence and Phylogenetic Relationships", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20d9/526b65b621d28c3a63bb28ac88f96304d326.pdf"], "doi": []}, {"id": "9726d81d91192cf679d88cbf36a7b38d2f2a5d34", "title": "Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated \u2018Omics Approach", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9726/d81d91192cf679d88cbf36a7b38d2f2a5d34.pdf"], "doi": []}, {"id": "3cb569d58312c1a9fd137a92ba06de1256e309e8", "title": "Chromium isotope systematics in the Connecticut River", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://people.earth.yale.edu/sites/default/files/files/Planavsky/71_%20Wu%20Cr%20CG%202017.pdf"], "doi": ["https://doi.org/10.1016/j.chemgeo.2017.03.009"]}, {"id": "2fda76076e5e3f32df15d8403fae623f0481fd8d", "title": "IOTSim: A simulator for analysing IoT applications", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://rranjans.files.wordpress.com/2016/08/iotsim2016.pdf"], "doi": ["https://doi.org/10.1016/j.sysarc.2016.06.008"]}, {"id": "a938d6daf03649bc2323b8d6a31a0a40d1f0eef5", "title": "The Evolution of Line-1 in Vertebrates.", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a938/d6daf03649bc2323b8d6a31a0a40d1f0eef5.pdf"], "doi": []}, {"id": "f5272cb770c0bd4e04444b3c12669af58e5f1365", "title": "The Complete Chloroplast Genome Sequences of Five Epimedium Species: Lights into Phylogenetic and Taxonomic Analyses", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f527/2cb770c0bd4e04444b3c12669af58e5f1365.pdf"], "doi": []}, {"id": "a64d5ff945c7d82b68ed900f2bc091d62edd4984", "title": "Topologically associated domains enriched for lineage-specific genes reveal expression-dependent nuclear topologies during myogenesis.", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a64d/5ff945c7d82b68ed900f2bc091d62edd4984.pdf"], "doi": []}, {"id": "664beeaad85c56c03019566eee8593b19ade263a", "title": "Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7296638"]}, {"id": "57955688c5abc9c2c945671a97dcb13d2401a3f0", "title": "Secure Data Obfuscation Scheme to Enable Privacy-Preserving State Estimation in Smart Grid AMI Networks", "addresses": [{"name": "Southern Illinois University", "source_name": "Southern Illinois University, Carbondale, USA", "street_adddress": "1263 Lincoln Dr, Carbondale, IL 62901, USA", "lat": "37.71002090", "lng": "-89.22259410", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360878"]}, {"id": "1c07af6771dac498afe3c2190d72e8af186c69ee", "title": "The endosomal transcriptional regulator RNF11 integrates degradation and transport of EGFR", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e95a/598da00fb09f21655d0943a429292891215b.pdf"], "doi": []}, {"id": "dc2570ee8338bdb782cad19c265c970a29a2334d", "title": "Data-Driven Techniques in Disaster Information Management", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3017678"]}, {"id": "87b6483fb44b9f7cdb149c5a05a39e14e26eee12", "title": "Identification, Expression Analysis, and Target Prediction of Flax Genotroph MicroRNAs Under Normal and Nutrient Stress Conditions", "addresses": [{"name": "Lomonosov Moscow State University", "source_name": "Lomonosov Moscow State University", "street_adddress": "\u041c\u0413\u0423, \u0443\u043b\u0438\u0446\u0430 \u0410\u043a\u0430\u0434\u0435\u043c\u0438\u043a\u0430 \u0425\u043e\u0445\u043b\u043e\u0432\u0430, \u041c\u043e\u0441\u043a\u043e\u0432\u0441\u043a\u0438\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0438\u043c.\u00a0\u041c.\u00a0\u0412.\u00a0\u041b\u043e\u043c\u043e\u043d\u043e\u0441\u043e\u0432\u0430, \u0440\u0430\u0439\u043e\u043d \u0420\u0430\u043c\u0435\u043d\u043a\u0438, \u0417\u0430\u043f\u0430\u0434\u043d\u044b\u0439 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u043e\u043a\u0440\u0443\u0433, \u041c\u043e\u0441\u043a\u0432\u0430, \u0426\u0424\u041e, 119234, \u0420\u0424", "lat": "55.70229715", "lng": "37.53179777", "type": "edu", "country": "Russia"}, {"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87b6/483fb44b9f7cdb149c5a05a39e14e26eee12.pdf"], "doi": []}, {"id": "9a28965f632e0df7ee1354c2036361285005c965", "title": "Nrf2 is the key to chemotherapy resistance in MCF7 breast cancer cells under hypoxia", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9a28/965f632e0df7ee1354c2036361285005c965.pdf"], "doi": []}, {"id": "1de327b399d91fbfab6184cd831a850cc4131c97", "title": "Completion of the Chloroplast Genomes of Five Chinese Juglans and Their Contribution to Chloroplast Phylogeny", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Vermont", "source_name": "University of Vermont", "street_adddress": "University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA", "lat": "44.48116865", "lng": "-73.20021790", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1de3/27b399d91fbfab6184cd831a850cc4131c97.pdf"], "doi": []}, {"id": "92a321212eb4e0337aed678acae2e5763f85593f", "title": "Comparative Analysis of the Complete Chloroplast Genomes of Five Quercus Species", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/92a3/21212eb4e0337aed678acae2e5763f85593f.pdf"], "doi": []}, {"id": "c1f90da3285e979bf5f9e5bcf6f98df6dd2d835c", "title": "Spatial Genetic Structure of the Abundant and Widespread Peatmoss Sphagnum magellanicum Brid.", "addresses": [{"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c1f9/0da3285e979bf5f9e5bcf6f98df6dd2d835c.pdf"], "doi": []}, {"id": "65f55691cc3bad6ca224e2144083c9deb2b2cd1d", "title": "A Look into 30 Years of Malware Development from a Software Metrics Perspective", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://software.imdea.org/~juanca/papers/malsource_raid16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-45719-2_15"]}, {"id": "24df14dc85fc2115ca8968037b0e04814c40d2af", "title": "Semantic-based management of federated infrastructures for future internet experimentation", "addresses": [{"name": "Technische Universit\u00e4t Berlin, Germany", "source_name": "Technische Universit\u00e4t Berlin, Germany", "street_adddress": "Stra\u00dfe des 17. Juni 135, 10623 Berlin, Germany", "lat": "52.51253220", "lng": "13.32694460", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/24df/14dc85fc2115ca8968037b0e04814c40d2af.pdf"], "doi": []}, {"id": "1897e4ffc0773559f3f0f2885ea0438c96f9acbd", "title": "Improving the Quality of Recommendations for Users and Items in the Tail of Distribution", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052769"]}, {"id": "aff92b0fea9496c411512f80364983e293168907", "title": "Deep Learning For Brain Tumor Segmentation", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aff9/2b0fea9496c411512f80364983e293168907.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "504c7e68cade9fa9f22e702736ecc9bf7cec53aa", "title": "Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04397.pdf"], "doi": []}, {"id": "3f9cc53b4ee7e1960de131a43b68c749d1752336", "title": "New Expenditure Data in the Panel Study of Income Dynamics: Comparisons with the Consumer Expenditure Survey Data", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f9c/c53b4ee7e1960de131a43b68c749d1752336.pdf"], "doi": []}, {"id": "1f1f782ff2be5d08a5ba0ef5d5efc856d8de8c7e", "title": "A context-sensitive correlated random walk: a new simulation model for movement", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1f1f/782ff2be5d08a5ba0ef5d5efc856d8de8c7e.pdf"], "doi": []}, {"id": "5ea313a114aa8144217cfddbac62a531d226f899", "title": "Postural effects on cerebral blood flow and autoregulation", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ea3/13a114aa8144217cfddbac62a531d226f899.pdf"], "doi": []}, {"id": "611dc86c37f56d11683b437e28a4c2b7dab4f189", "title": "Future perspectives in melanoma research \u201cMelanoma Bridge\u201d, Napoli, November 30th\u20133rd December 2016", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://translational-medicine.biomedcentral.com/track/pdf/10.1186/s12967-017-1341-2?site=translational-medicine.biomedcentral.com", "https://www.zora.uzh.ch/id/eprint/142690/1/730_Ascierto_PA_._et_al._Future_perspectives_in_melanoma_research_J_Transl_Med._2017.pdf"], "doi": ["https://doi.org/10.1186/s12967-017-1341-2", "https://www.ncbi.nlm.nih.gov/pubmed/29145885"]}, {"id": "2edaa17229438130a487af1fa5c0bdf66df13e4b", "title": "Metamorphic Testing: A Review of Challenges and Opportunities", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Victoria University", "source_name": "Victoria University, Melbourne, Australia", "street_adddress": "Ballarat Rd, Footscray VIC 3011, Australia", "lat": "-37.79369300", "lng": "144.89873400", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143561"]}, {"id": "4dfdbd1d0def42d31f224f85880f9dc7a3045bbf", "title": "Molybdenum isotope fractionation in the mantle", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://dro.dur.ac.uk/21405/1/21405.pdf?DDD15+nfmn94+d700tmt=", "http://eprints.whiterose.ac.uk/108678/7/1-s2.0-S0016703716306652-main.pdf", "https://research-management.mq.edu.au/ws/portalfiles/portal/85914629/Publisher_version.pdf"], "doi": ["https://doi.org/10.1016/j.gca.2016.11.023"]}, {"id": "a9e9f1137ac42960bcbb5dee799979310b784861", "title": "ALIX and ESCRT-I/II function as parallel ESCRT-III recruiters in cytokinetic abscission", "addresses": [{"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9e9/f1137ac42960bcbb5dee799979310b784861.pdf"], "doi": []}, {"id": "ef0779a53a485ad2097e24572fa006258b92a135", "title": "Research challenges in nextgen service orchestration", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00764.pdf"], "doi": []}, {"id": "b47fba112ce2118605f2de362888dd8752488245", "title": "Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b47f/ba112ce2118605f2de362888dd8752488245.pdf"], "doi": []}, {"id": "0cfa5f47c828429132fda7b7e251824958993249", "title": "Overexpression of Specific CD44 Isoforms Is Associated with Aggressive Cell Features in Acquired Endocrine Resistance", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0cfa/5f47c828429132fda7b7e251824958993249.pdf"], "doi": []}, {"id": "91565229659527cb4c0a635614b5add5980a4b59", "title": "Host Shutoff in Influenza A Virus: Many Means to an End", "addresses": [{"name": "Tufts University", "source_name": "Tufts University, Medford, MA, USA", "street_adddress": "419 Boston Ave, Medford, MA 02155, USA", "lat": "42.40748430", "lng": "-71.11902320", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9156/5229659527cb4c0a635614b5add5980a4b59.pdf"], "doi": []}, {"id": "af1bad7bdb6b45eb0669d77324bcce81f7f914bb", "title": "Benzyl-2-Acetamido-2-Deoxy-\u03b1-d-Galactopyranoside Increases Human Immunodeficiency Virus Replication and Viral Outgrowth Efficacy In Vitro", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af1b/ad7bdb6b45eb0669d77324bcce81f7f914bb.pdf"], "doi": []}, {"id": "4523c9185a0ceb4f90a2c33ff1e259fa29d7679b", "title": "A Comprehensive Genomic Analysis Reveals the Genetic Landscape of Mitochondrial Respiratory Chain Complex Deficiencies", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4523/c9185a0ceb4f90a2c33ff1e259fa29d7679b.pdf"], "doi": []}, {"id": "d4c51aa0ee02855ec8b70663c9d2a0c71b0d6b07", "title": "Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling", "addresses": [{"name": "Leiden University Medical Center", "source_name": "Division of Image Processing, Leiden University Medical Center, Netherlands", "street_adddress": "Albinusdreef 2, 2333 ZA Leiden, Netherlands", "lat": "52.16770960", "lng": "4.47747360", "type": "edu", "country": "Netherlands"}, {"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d4c5/1aa0ee02855ec8b70663c9d2a0c71b0d6b07.pdf"], "doi": []}, {"id": "869edb60f4dc4dc6dba7f6fc3e1384433ba5b06c", "title": "Geography and the Market for CEOs", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/869e/db60f4dc4dc6dba7f6fc3e1384433ba5b06c.pdf"], "doi": []}, {"id": "6f43344bbb5334f8519148614626db77b776115e", "title": "The Exon Junction Complex Undergoes a Compositional Switch that Alters mRNP Structure and Nonsense-Mediated mRNA Decay Activity.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00789.pdf"], "doi": []}, {"id": "29f0da62e38843381bf358f333734ade69f2aecb", "title": "Ribosome reinitiation can explain length-dependent translation of messenger RNA", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5cc1/0b0a0f8ab4b651ccb5059493c42dc8f06836.pdf"], "doi": []}, {"id": "8688da13bc779a6cbc5205e5593ef459da171a5b", "title": "Alternative assembly of respiratory complex II connects energy stress to metabolic checkpoints", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://research-management.mq.edu.au/ws/portalfiles/portal/92244284/Publisher_version_open_access_.pdf"], "doi": ["https://doi.org/10.1038/s41467-018-04603-z", "https://www.ncbi.nlm.nih.gov/pubmed/29880867"]}, {"id": "286c8549f2a2c24571580a8f4a72e5499736d3b7", "title": "The Race Between Preferences and Technology", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/286c/8549f2a2c24571580a8f4a72e5499736d3b7.pdf"], "doi": []}, {"id": "212fb9ad5f6850489b54a32a0fb9a8fdda8c32f3", "title": "Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05844.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/ucf_crowd.json b/site/datasets/citations/ucf_crowd.json index 4a14120d..af9c3413 100644 --- a/site/datasets/citations/ucf_crowd.json +++ b/site/datasets/citations/ucf_crowd.json @@ -1 +1 @@ -{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": []}, "citations": [{"id": "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "title": "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06679.pdf"], "doi": []}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "4b399e0d8153e842739e8b7401353209ce02b79f", "title": "Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06115.pdf"], "doi": []}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "ee89b903af1d8f26a8894a3773915c74f038883e", "title": "Half-CNN: A General Framework for Whole-Image Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6885.pdf"], "doi": []}, {"id": "681a1b6c72af33e91e6b7f82994482b2076c6d59", "title": "Crowd Counting with Fully Convolutional Neural Network", "addresses": [{"name": "Memorial Sloan Kettering Cancer Center, New York City, NY", "source_name": "Memorial sloan kettering cancer center, medical physics, New York City, NY, United States", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451787"]}, {"id": "aa892a303aac532ccec34ba0e741092df97fdb9b", "title": "People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network", "addresses": [{"name": "Donghua University", "source_name": "Donghua University", "street_adddress": "\u4e1c\u534e\u5927\u5b66, \u65b0\u534e\u8def, \u957f\u5b81\u533a, \u4e0a\u6d77\u5e02, 210011, \u4e2d\u56fd", "lat": "31.20619390", "lng": "121.41047101", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8406516"]}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "90aa891d181d918aafdf1a29d8620bc7859294b5", "title": "Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744605", "http://doi.org/10.1109/TIT.2016.2628784"]}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "663981cfc5fc843ec2682b77ae427ac351bc2180", "title": "Detecting Repeating Objects Using Patch Correlation Analysis", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Huberman_Detecting_Repeating_Objects_2016_CVPR_supplemental.pdf", "http://www.cs.huji.ac.il/~raananf/projects/count/paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780686", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.317", "http://doi.org/10.1109/CVPR.2016.317"]}, {"id": "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "title": "Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images", "addresses": [{"name": "University Technology Malaysia", "source_name": "Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "street_adddress": "Universiti Teknologi Malaysia, N28A, Lingkaran Ilmu, 81310 Johor Bahru, Johor, Malaysia", "lat": "1.56485150", "lng": "103.63737050", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5126-7"]}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "title": "Depth Information Guided Crowd Counting for Complex Crowd Scenes.", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02256.pdf"], "doi": []}, {"id": "d2df6e68a686ecc95a1e44505379db005f83ab18", "title": "Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network", "addresses": [{"name": "National Taipei University", "source_name": "National Taipei University", "street_adddress": "\u570b\u7acb\u81fa\u5317\u5927\u5b78, 151, \u5927\u5b78\u8def, \u9f8d\u6069\u91cc, \u9686\u6069\u57d4, \u4e09\u5cfd\u5340, \u65b0\u5317\u5e02, 23741, \u81fa\u7063", "lat": "24.94314825", "lng": "121.36862979", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489238", "http://doi.org/10.1109/IJCNN.2018.8489238"]}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "e27680dea38b7a0272042a82577eb58eb552785c", "title": "Multiscale Multitask Deep NetVLAD for Crowd Counting", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401914", "http://doi.org/10.1109/TII.2018.2852481"]}, {"id": "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "title": "Bus scheduling method based on image texture and color analysis", "addresses": [{"name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "source_name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "street_adddress": "202 Gongye N Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250032", "lat": "36.70847340", "lng": "117.07738690", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393126", "http://doi.org/10.1109/FSKD.2017.8393126"]}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "fd645edffb18e76d89b9efe02bc0b76163de2261", "title": "Statistics on the number of people in the regular scene based on Hough and SVM", "addresses": [{"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924727"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "d57279d90f7f5278ac56974485810865cdb1446d", "title": "Cox Processes for Counting by Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10851-018-0838-5", "https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1004&context=pics_pub"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "54171243dfae9d7343c78026c9b94004df3853bb", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10698.pdf"], "doi": []}, {"id": "1e99c95ea015a0639448fdf60f9694fed5464500", "title": "Interactive Object Counting", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e99/c95ea015a0639448fdf60f9694fed5464500.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "5ece646d13786df1d84ff8eb2bfbc736dd337378", "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03095.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "fa634d2194974f52bff30e2ffab81c3f97c49b57", "title": "Crowd Estimation Using Region-Specific HOG With SVM", "addresses": [{"name": "De La Salle University Manila City", "source_name": "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457384"]}, {"id": "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "title": "TraCount: a deep convolutional neural network for highly overlapping vehicle counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010060"]}, {"id": "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "title": "Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d1a/c241fb603a4237cb681dbcf163a9f89e906a.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07890.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "bf107f242abea2e52d82dcd834e58b774205ec84", "title": "Crowd Counting by Adapting Convolutional Neural Networks with Side Information", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06748.pdf"], "doi": []}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "title": "Count on Me: Learning to Count on a Single Image", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7828028", "http://doi.org/10.1109/TCSVT.2017.2656718"]}, {"id": "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "title": "Learning Short-Cut Connections for Object Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}, {"name": "Alcal\u00e1 de Henares, Spain", "source_name": "Alcal\u00e1 de Henares, Spain", "street_adddress": "Alcala de Henares, Madrid, Spain", "lat": "40.48197910", "lng": "-3.36354210", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02919.pdf"], "doi": []}, {"id": "0db6a58927a671c01089c53248b0e1c36bdc3231", "title": "Efficient Point Process Inference for Large-Scale Object Detection", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Pham_Efficient_Point_Process_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "https://cs.adelaide.edu.au/~trung/lib/exe/fetch.php?media=ls_obj_det.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.310", "http://doi.org/10.1109/CVPR.2016.310"]}, {"id": "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "title": "Real-time crowd behavior detection using SIFT feature extraction technique in video sequences", "addresses": [{"name": "Indian Institute of Information Technology, Allahabad - India 140413", "source_name": "Indian Institute of Information Technology, Allahabad - India 140413", "street_adddress": "Indian Institute of Information Technology, Jhalwa, Prayagraj, Uttar Pradesh, India", "lat": "25.42991140", "lng": "81.77118270", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250602"]}, {"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "ae47e73c25755427c9f5904425a35d7db737829b", "title": "Multi-scale convolutional neural networks for crowd counting", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02359.pdf"], "doi": []}, {"id": "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "title": "Indoor people density sensing using Wi-Fi and channel state information", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/550c/81fbd170177735d89ba751ef4fc07eb0a4bc.pdf"], "doi": []}, {"id": "806d7b97c3535a3c62ce243fe7008149062d14c1", "title": "Learning to Count with CNN Boosting", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/806d/7b97c3535a3c62ce243fe7008149062d14c1.pdf"], "doi": []}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "title": "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01050.pdf"], "doi": []}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "title": "Deep People Counting in Extremely Dense Crowds", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806337"]}, {"id": "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "title": "Depth driven people counting using deep region proposal network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078944"]}, {"id": "a3dab83995f27ec8d09cbc06fe815ade88232d10", "title": "Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4446.pdf"], "doi": []}, {"id": "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "title": "Convolutional neural networks for crowd behaviour analysis: a survey", "addresses": [{"name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "source_name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "street_adddress": "Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India", "lat": "28.65508600", "lng": "77.33309490", "type": "company", "country": "India"}, {"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1499-5"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "03799d5eb1de8141db27856758a2f72436fcc926", "title": "A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field", "addresses": [{"name": "Malaviya National Institute of Technology, Jaipur, India", "source_name": "Malaviya National Institute of Technology, Jaipur, India", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5554-4"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "e9bfde4d9898a886c340e5ce4337c2969207990e", "title": "Multi-source approach for crowd density estimation in still images", "addresses": [{"name": "Malviya National Institute of Technology Jaipur, India", "source_name": "Malviya National Institute of Technology Jaipur, India-302017", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947682", "http://doi.org/10.1109/ISBA.2017.7947682"]}, {"id": "6965de4410921cff014a48b071f2c4c52c1da0fd", "title": "Human object estimation via backscattered radio frequency signal", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "PLA University of Science and Technology", "source_name": "College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://web.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf", "https://www.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7218545", "http://doi.org/10.1109/INFOCOM.2015.7218545"]}, {"id": "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "title": "A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot", "addresses": [{"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://alife-robotics.co.jp/homepage2018/members2017/icarob/data/html/data/OS_pdf/OS16/OS16-1.pdf", "https://download.atlantis-press.com/article/25878348.pdf"], "doi": ["https://doi.org/10.2991/jrnal.2017.4.1.17"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "title": "Mixture of counting CNNs", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0955-6"]}, {"id": "0012d023347d01b791e7753f4f58567a5d480f7f", "title": "Crowd counting via learning perspective for multi-scale multi-view Web images", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-017-6598-3"]}, {"id": "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "title": "Advances in Crowd Analysis for Urban Applications Through Urban Event Detection", "addresses": [{"name": "Anglia Ruskin University", "source_name": "Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.", "street_adddress": "Bishop Hall Ln, Chelmsford CM1 1SQ, UK", "lat": "51.74147370", "lng": "0.47419480", "type": "edu", "country": "United Kingdom"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Chiang Mai University", "source_name": "Chiang Mai University", "street_adddress": "239 Huaykaew Rd, Tambon Su Thep, Amphoe Mueang Chiang Mai, Chang Wat Chiang Mai 50200, Thailand", "lat": "18.80439490", "lng": "98.95481230", "type": "edu", "country": "Thailand"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8194870"]}, {"id": "4543845adcb6135f263cbf6c2813d10464199d52", "title": "Improving Deep Crowd Density Estimation via Pre-classification of Density", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_27"]}, {"id": "133d9795a89a681c9f6db6a0244e8975992d968a", "title": "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967300"]}, {"id": "9c101af0cbee452a8f85ff89be0d4525daf3736b", "title": "A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451399"]}, {"id": "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "title": "Al-Masjid An-Nabawi Crowd Adviser Crowd Level Estimation Using Head Detection", "addresses": [{"name": "Taibah University", "source_name": "Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia", "street_adddress": "Janadah Bin Umayyah Road\u060c Tayba, Medina 42353, Saudi Arabia", "lat": "24.48607820", "lng": "39.54217980", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8442025"]}, {"id": "f9e21549678feea9129112feba7ab5b702abbded", "title": "Skip-connection convolutional neural network for still image crowd counting", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10489-018-1150-1"]}, {"id": "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "title": "Small instance detection by integer programming on object density maps", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet-exabstract.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet.pdf", "http://www.cs.cityu.edu.hk/news/seminars/sem2014-2015_no25.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ma_Small_Instance_Detection_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298992", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298992", "http://doi.org/10.1109/CVPR.2015.7298992"]}, {"id": "f8e55d0bb896d93385b590c13c5702b63b41d489", "title": "Crowd counting estimation in video surveillance based on linear regression function", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7852682", "http://doi.org/10.1109/CISP-BMEI.2016.7852682"]}, {"id": "4bfaf3d14625cf020e65fbbc5be262b83342facc", "title": "Crowd counting oriented to indoor scenes based on FCN with inception modules and residual networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407262"]}, {"id": "47580b23dac6ebace27f4503ceb6200fee45056d", "title": "Crowd counting using complex convolutional neural network", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}, {"name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "source_name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "street_adddress": "Koszykowa 75, 00-662 Warszawa, Poland", "lat": "52.22242500", "lng": "21.00806800", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563383"]}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "96179303817c6e3549f779abf6e033ae7d221199", "title": "Abnormal Behavior Detection in Crowded Scenes Using Density Heatmaps and Optical Flow", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553620"]}, {"id": "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "title": "Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology and City University of Hong Kong", "source_name": "Guangdong University of Technology and City University of Hong Kong", "street_adddress": "83 Tat Chee Ave, Kowloon Tong, Hong Kong", "lat": "22.33761850", "lng": "114.17141320", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015463"]}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "title": "Multi-scale Generative Adversarial Networks for Crowd Counting", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545683"]}, {"id": "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "title": "Incorporating Side Information by Adaptive Convolution", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef7/8987104b7e66c1a71f87b94c4b0ebf34330e.pdf"], "doi": []}, {"id": "95a287356caad3910df98d52a3723e1f98e491f8", "title": "Managing Crowds with Wireless and Mobile Technologies", "addresses": [{"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/95a2/87356caad3910df98d52a3723e1f98e491f8.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "title": "Scale Aggregation Network for Accurate and Efficient Crowd Counting", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bb65/479d3f38b73826596e5da9dbf5ee4199d42c.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}, {"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619173"]}, {"id": "f5cfcefeb52bfed6c8f84b035824ce8a8112837d", "title": "A discriminative tracklets representation for crowd analysis", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351112", "http://doi.org/10.1109/ICIP.2015.7351112"]}, {"id": "b8877c1ad550a3c1b78b9f471497413a9bc52809", "title": "A Framework for Video-Driven Crowd Synthesis", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1803.04969.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "545bb02433dc69d820520249fcce107e0924d8ea", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078482"]}, {"id": "bc97abcfb02bbcdae4c893c2182565c49603e430", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "134c4d75c6a1863e7bc3ccf6992dad23e62d78cf", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks\u2014Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8360001"]}, {"id": "8a62ecdc178bc14f12ce19388e2f4032648ed4db", "title": "Crowd Counting with Decomposed Uncertainty", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07427.pdf"], "doi": []}, {"id": "f9eac8cc9c5acd8a89dd427a127c01f5328e62b1", "title": "Visual Crowd Counting with Improved Inception-ResNet-A Module", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8665037"]}, {"id": "e7ecb3ddd1d4d79231fc5fa5140288e0a7a3592b", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "d882da8d831b7fb6c459f052f9e12c9a3ea9adac", "title": "Almost Unsupervised Learning for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d882/da8d831b7fb6c459f052f9e12c9a3ea9adac.pdf"], "doi": []}]} \ No newline at end of file +{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": []}, "citations": [{"id": "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "title": "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06679.pdf"], "doi": []}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "4b399e0d8153e842739e8b7401353209ce02b79f", "title": "Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06115.pdf"], "doi": []}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "ee89b903af1d8f26a8894a3773915c74f038883e", "title": "Half-CNN: A General Framework for Whole-Image Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6885.pdf"], "doi": []}, {"id": "681a1b6c72af33e91e6b7f82994482b2076c6d59", "title": "Crowd Counting with Fully Convolutional Neural Network", "addresses": [{"name": "Memorial Sloan Kettering Cancer Center, New York City, NY", "source_name": "Memorial sloan kettering cancer center, medical physics, New York City, NY, United States", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451787"]}, {"id": "aa892a303aac532ccec34ba0e741092df97fdb9b", "title": "People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network", "addresses": [{"name": "Donghua University", "source_name": "Donghua University", "street_adddress": "\u4e1c\u534e\u5927\u5b66, \u65b0\u534e\u8def, \u957f\u5b81\u533a, \u4e0a\u6d77\u5e02, 210011, \u4e2d\u56fd", "lat": "31.20619390", "lng": "121.41047101", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8406516"]}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "7174e77f8e26aef3105996512b787b336320d46f", "title": "People Counting in High Density Crowds from Still Images", "addresses": [{"name": "Indian Institute of Technology Kanpur", "source_name": "Indian Institute of Technology Kanpur", "street_adddress": "Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India", "lat": "26.51318800", "lng": "80.23651945", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.08445.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "90aa891d181d918aafdf1a29d8620bc7859294b5", "title": "Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744605", "http://doi.org/10.1109/TIT.2016.2628784"]}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "663981cfc5fc843ec2682b77ae427ac351bc2180", "title": "Detecting Repeating Objects Using Patch Correlation Analysis", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Huberman_Detecting_Repeating_Objects_2016_CVPR_supplemental.pdf", "http://www.cs.huji.ac.il/~raananf/projects/count/paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780686", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.317", "http://doi.org/10.1109/CVPR.2016.317"]}, {"id": "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "title": "Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images", "addresses": [{"name": "University Technology Malaysia", "source_name": "Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "street_adddress": "Universiti Teknologi Malaysia, N28A, Lingkaran Ilmu, 81310 Johor Bahru, Johor, Malaysia", "lat": "1.56485150", "lng": "103.63737050", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5126-7"]}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "title": "Depth Information Guided Crowd Counting for Complex Crowd Scenes.", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02256.pdf"], "doi": []}, {"id": "d2df6e68a686ecc95a1e44505379db005f83ab18", "title": "Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network", "addresses": [{"name": "National Taipei University", "source_name": "National Taipei University", "street_adddress": "\u570b\u7acb\u81fa\u5317\u5927\u5b78, 151, \u5927\u5b78\u8def, \u9f8d\u6069\u91cc, \u9686\u6069\u57d4, \u4e09\u5cfd\u5340, \u65b0\u5317\u5e02, 23741, \u81fa\u7063", "lat": "24.94314825", "lng": "121.36862979", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489238", "http://doi.org/10.1109/IJCNN.2018.8489238"]}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "e27680dea38b7a0272042a82577eb58eb552785c", "title": "Multiscale Multitask Deep NetVLAD for Crowd Counting", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401914", "http://doi.org/10.1109/TII.2018.2852481"]}, {"id": "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "title": "Bus scheduling method based on image texture and color analysis", "addresses": [{"name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "source_name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "street_adddress": "202 Gongye N Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250032", "lat": "36.70847340", "lng": "117.07738690", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393126", "http://doi.org/10.1109/FSKD.2017.8393126"]}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "fd645edffb18e76d89b9efe02bc0b76163de2261", "title": "Statistics on the number of people in the regular scene based on Hough and SVM", "addresses": [{"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924727"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "5882e62866fe1fcf7f8458e0bd0bcb39057afce3", "title": "Attention to Head Locations for Crowd Counting", "addresses": [{"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "Shandong University Jinan", "source_name": "Shandong University Jinan, China, 250100", "street_adddress": "China, Shandong, Jinan, Licheng, Shanda S Rd, 27\u53f7\u5357\u8def27\u53f7 CN \u5c71\u4e1c\u7701 \u6d4e\u5357\u5e02 \u5c71\u5927", "lat": "36.64893000", "lng": "117.02901400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10287.pdf"], "doi": []}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "a507ee57e0e2e2834bab1ff7d218d3afb3634f2a", "title": "Top-Down Feedback for Crowd Counting Convolutional Neural Network", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08881.pdf"], "doi": []}, {"id": "d57279d90f7f5278ac56974485810865cdb1446d", "title": "Cox Processes for Counting by Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10851-018-0838-5", "https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1004&context=pics_pub"]}, {"id": "46f5bb35ea99c62320199b1f0924a4e7c0b001d3", "title": "Perspective-Aware CNN For Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "54171243dfae9d7343c78026c9b94004df3853bb", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10698.pdf"], "doi": []}, {"id": "1e99c95ea015a0639448fdf60f9694fed5464500", "title": "Interactive Object Counting", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e99/c95ea015a0639448fdf60f9694fed5464500.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "5ece646d13786df1d84ff8eb2bfbc736dd337378", "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03095.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "fa634d2194974f52bff30e2ffab81c3f97c49b57", "title": "Crowd Estimation Using Region-Specific HOG With SVM", "addresses": [{"name": "De La Salle University Manila City", "source_name": "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457384"]}, {"id": "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "title": "TraCount: a deep convolutional neural network for highly overlapping vehicle counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010060"]}, {"id": "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "title": "Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d1a/c241fb603a4237cb681dbcf163a9f89e906a.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07890.pdf"], "doi": []}, {"id": "389b217408db3c6d013207ede37590513cad28c1", "title": "Mask-aware networks for crowd counting", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.00039.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "2e6c3557cb90f472e6798fcaa8ecc9dff3557f11", "title": "Towards Perspective-Free Object Counting with Deep Learning", "addresses": [{"name": "University of Alcala", "source_name": "Geintra Research Group, University of Alcala", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/abf0/20e0dcadc047f91ecb394cade13c05112d71.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "bf107f242abea2e52d82dcd834e58b774205ec84", "title": "Crowd Counting by Adapting Convolutional Neural Networks with Side Information", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06748.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "title": "Count on Me: Learning to Count on a Single Image", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7828028", "http://doi.org/10.1109/TCSVT.2017.2656718"]}, {"id": "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "title": "Learning Short-Cut Connections for Object Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}, {"name": "Alcal\u00e1 de Henares, Spain", "source_name": "Alcal\u00e1 de Henares, Spain", "street_adddress": "Alcala de Henares, Madrid, Spain", "lat": "40.48197910", "lng": "-3.36354210", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02919.pdf"], "doi": []}, {"id": "0db6a58927a671c01089c53248b0e1c36bdc3231", "title": "Efficient Point Process Inference for Large-Scale Object Detection", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Pham_Efficient_Point_Process_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "https://cs.adelaide.edu.au/~trung/lib/exe/fetch.php?media=ls_obj_det.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.310", "http://doi.org/10.1109/CVPR.2016.310"]}, {"id": "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "title": "Real-time crowd behavior detection using SIFT feature extraction technique in video sequences", "addresses": [{"name": "Indian Institute of Information Technology, Allahabad - India 140413", "source_name": "Indian Institute of Information Technology, Allahabad - India 140413", "street_adddress": "Indian Institute of Information Technology, Jhalwa, Prayagraj, Uttar Pradesh, India", "lat": "25.42991140", "lng": "81.77118270", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250602"]}, {"id": "aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b", "title": "Counting in High Density Crowd Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aef3/ecc926ed79478f9d1f38c0fec2a29bae9c3b.pdf"], "doi": []}, {"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "ae47e73c25755427c9f5904425a35d7db737829b", "title": "Multi-scale convolutional neural networks for crowd counting", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02359.pdf"], "doi": []}, {"id": "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "title": "Indoor people density sensing using Wi-Fi and channel state information", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/550c/81fbd170177735d89ba751ef4fc07eb0a4bc.pdf"], "doi": []}, {"id": "806d7b97c3535a3c62ce243fe7008149062d14c1", "title": "Learning to Count with CNN Boosting", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/806d/7b97c3535a3c62ce243fe7008149062d14c1.pdf"], "doi": []}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "title": "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01050.pdf"], "doi": []}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "09c9a70a95d1e663e9f718c095f0ef59a877c152", "title": "DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://xplorestaging.ieee.org/ielx7/6287639/6514899/08497050.pdf?arnumber=8497050"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8497050", "http://doi.org/10.1109/ACCESS.2018.2875495"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "title": "Deep People Counting in Extremely Dense Crowds", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806337"]}, {"id": "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "title": "Depth driven people counting using deep region proposal network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078944"]}, {"id": "a3dab83995f27ec8d09cbc06fe815ade88232d10", "title": "Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4446.pdf"], "doi": []}, {"id": "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "title": "Convolutional neural networks for crowd behaviour analysis: a survey", "addresses": [{"name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "source_name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "street_adddress": "Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India", "lat": "28.65508600", "lng": "77.33309490", "type": "company", "country": "India"}, {"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1499-5"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "03799d5eb1de8141db27856758a2f72436fcc926", "title": "A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field", "addresses": [{"name": "Malaviya National Institute of Technology, Jaipur, India", "source_name": "Malaviya National Institute of Technology, Jaipur, India", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5554-4"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "e9bfde4d9898a886c340e5ce4337c2969207990e", "title": "Multi-source approach for crowd density estimation in still images", "addresses": [{"name": "Malviya National Institute of Technology Jaipur, India", "source_name": "Malviya National Institute of Technology Jaipur, India-302017", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947682", "http://doi.org/10.1109/ISBA.2017.7947682"]}, {"id": "6965de4410921cff014a48b071f2c4c52c1da0fd", "title": "Human object estimation via backscattered radio frequency signal", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "PLA University of Science and Technology", "source_name": "College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://web.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf", "https://www.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7218545", "http://doi.org/10.1109/INFOCOM.2015.7218545"]}, {"id": "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "title": "A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot", "addresses": [{"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://alife-robotics.co.jp/homepage2018/members2017/icarob/data/html/data/OS_pdf/OS16/OS16-1.pdf", "https://download.atlantis-press.com/article/25878348.pdf"], "doi": ["https://doi.org/10.2991/jrnal.2017.4.1.17"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "title": "Mixture of counting CNNs", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0955-6"]}, {"id": "0012d023347d01b791e7753f4f58567a5d480f7f", "title": "Crowd counting via learning perspective for multi-scale multi-view Web images", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-017-6598-3"]}, {"id": "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "title": "Advances in Crowd Analysis for Urban Applications Through Urban Event Detection", "addresses": [{"name": "Anglia Ruskin University", "source_name": "Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.", "street_adddress": "Bishop Hall Ln, Chelmsford CM1 1SQ, UK", "lat": "51.74147370", "lng": "0.47419480", "type": "edu", "country": "United Kingdom"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Chiang Mai University", "source_name": "Chiang Mai University", "street_adddress": "239 Huaykaew Rd, Tambon Su Thep, Amphoe Mueang Chiang Mai, Chang Wat Chiang Mai 50200, Thailand", "lat": "18.80439490", "lng": "98.95481230", "type": "edu", "country": "Thailand"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8194870"]}, {"id": "4543845adcb6135f263cbf6c2813d10464199d52", "title": "Improving Deep Crowd Density Estimation via Pre-classification of Density", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_27"]}, {"id": "133d9795a89a681c9f6db6a0244e8975992d968a", "title": "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967300"]}, {"id": "9c101af0cbee452a8f85ff89be0d4525daf3736b", "title": "A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451399"]}, {"id": "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "title": "Al-Masjid An-Nabawi Crowd Adviser Crowd Level Estimation Using Head Detection", "addresses": [{"name": "Taibah University", "source_name": "Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia", "street_adddress": "Janadah Bin Umayyah Road\u060c Tayba, Medina 42353, Saudi Arabia", "lat": "24.48607820", "lng": "39.54217980", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8442025"]}, {"id": "f9e21549678feea9129112feba7ab5b702abbded", "title": "Skip-connection convolutional neural network for still image crowd counting", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10489-018-1150-1"]}, {"id": "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "title": "Small instance detection by integer programming on object density maps", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet-exabstract.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet.pdf", "http://www.cs.cityu.edu.hk/news/seminars/sem2014-2015_no25.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ma_Small_Instance_Detection_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298992", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298992", "http://doi.org/10.1109/CVPR.2015.7298992"]}, {"id": "f8e55d0bb896d93385b590c13c5702b63b41d489", "title": "Crowd counting estimation in video surveillance based on linear regression function", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7852682", "http://doi.org/10.1109/CISP-BMEI.2016.7852682"]}, {"id": "1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9", "title": "Crowd Counting with Density Adaption Networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10040.pdf"], "doi": []}, {"id": "4bfaf3d14625cf020e65fbbc5be262b83342facc", "title": "Crowd counting oriented to indoor scenes based on FCN with inception modules and residual networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407262"]}, {"id": "47580b23dac6ebace27f4503ceb6200fee45056d", "title": "Crowd counting using complex convolutional neural network", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}, {"name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "source_name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "street_adddress": "Koszykowa 75, 00-662 Warszawa, Poland", "lat": "52.22242500", "lng": "21.00806800", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563383"]}, {"id": "5128f77564f70d861debf2941df54fc575283698", "title": "PaDNet: Pan-Density Crowd Counting", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02805.pdf"], "doi": []}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "96179303817c6e3549f779abf6e033ae7d221199", "title": "Abnormal Behavior Detection in Crowded Scenes Using Density Heatmaps and Optical Flow", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553620"]}, {"id": "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "title": "Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology and City University of Hong Kong", "source_name": "Guangdong University of Technology and City University of Hong Kong", "street_adddress": "83 Tat Chee Ave, Kowloon Tong, Hong Kong", "lat": "22.33761850", "lng": "114.17141320", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015463"]}, {"id": "8ff7567197aa9cf146e023326802b2e097121acb", "title": "Context-Aware Crowd Counting", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10452.pdf"], "doi": []}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "title": "Multi-scale Generative Adversarial Networks for Crowd Counting", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545683"]}, {"id": "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "title": "Incorporating Side Information by Adaptive Convolution", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef7/8987104b7e66c1a71f87b94c4b0ebf34330e.pdf"], "doi": []}, {"id": "95a287356caad3910df98d52a3723e1f98e491f8", "title": "Managing Crowds with Wireless and Mobile Technologies", "addresses": [{"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/95a2/87356caad3910df98d52a3723e1f98e491f8.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "title": "Scale Aggregation Network for Accurate and Efficient Crowd Counting", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bb65/479d3f38b73826596e5da9dbf5ee4199d42c.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}, {"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619173"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "f5cfcefeb52bfed6c8f84b035824ce8a8112837d", "title": "A discriminative tracklets representation for crowd analysis", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351112", "http://doi.org/10.1109/ICIP.2015.7351112"]}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "addresses": [{"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "b8877c1ad550a3c1b78b9f471497413a9bc52809", "title": "A Framework for Video-Driven Crowd Synthesis", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1803.04969.pdf"], "doi": []}, {"id": "572ee775bf7801cd64e7b85a49e9977e960e3257", "title": "Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07368.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "545bb02433dc69d820520249fcce107e0924d8ea", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078482"]}, {"id": "bc97abcfb02bbcdae4c893c2182565c49603e430", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "134c4d75c6a1863e7bc3ccf6992dad23e62d78cf", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks\u2014Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8360001"]}, {"id": "edafefc60c6e7511f172be8b3660e41b2d6f0f07", "title": "DENet: A Universal Network for Counting Crowd with Varying Densities and Scales", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08056.pdf"], "doi": []}, {"id": "8a62ecdc178bc14f12ce19388e2f4032648ed4db", "title": "Crowd Counting with Decomposed Uncertainty", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "IBM", "source_name": "IBM, Yorktown Heights, NY, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.21055540", "lng": "-73.80342710", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07427.pdf"], "doi": []}, {"id": "891eb18f7cc0702a352d812c78f33eae7ee23f99", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "0bc6ea6afe3b59848a2a8f03423cc6284c60327e", "title": "Learning from Synthetic Data for Crowd Counting in the Wild", "addresses": [{"name": "Northwestern Polytechnical University Xian", "source_name": "Northwestern Polytechnical University Xian, P. R. China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03303.pdf"], "doi": []}, {"id": "f9eac8cc9c5acd8a89dd427a127c01f5328e62b1", "title": "Visual Crowd Counting with Improved Inception-ResNet-A Module", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8665037"]}, {"id": "e7ecb3ddd1d4d79231fc5fa5140288e0a7a3592b", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "d882da8d831b7fb6c459f052f9e12c9a3ea9adac", "title": "Almost Unsupervised Learning for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d882/da8d831b7fb6c459f052f9e12c9a3ea9adac.pdf"], "doi": []}, {"id": "a4927558407dab54353ac166f402e6a26c44e0ca", "title": "Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06285.pdf"], "doi": []}, {"id": "72da189e5a814ac899e7cb4da80370301b0a20e3", "title": "Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.00853.pdf"], "doi": []}, {"id": "429b9c93bb928815f84fb0055831077ee8149c78", "title": "Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.05379.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/voc.json b/site/datasets/citations/voc.json index 55c2b2cc..793bd987 100644 --- a/site/datasets/citations/voc.json +++ b/site/datasets/citations/voc.json @@ -1 +1 @@ -{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"key": "voc", "name": "VOC", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "German Aerospace Center (DLR), Germany", "source_name": "German Aerospace Center (DLR), Germany", "street_adddress": "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "lat": "50.85502400", "lng": "7.11949760", "type": "edu", "country": "Germany"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"id": "0d760e7d762fa449737ad51431f3ff938d6803fe", "title": "LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05922.pdf"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "1329206dbdb0a2b9e23102e1340c17bd2b2adcf5", "title": "Part-Based R-CNNs for Fine-Grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "1ee5f21021a78b942aa6a66e8bcfe95fc227068b", "title": "HCP: A Flexible CNN Framework for Multi-Label Image Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7305792"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "3664c2aab3b64930962f15e9c115e33c684ee10e", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "09da677bdbba113374d8fe4bb15ecfbdb4c8fe40", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "a572d976738579dd2d05c44555f726fc7fb1330e", "title": "Elucidating image-to-set prediction: An analysis of models, losses and datasets", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05709.pdf"], "doi": []}, {"id": "50b0d33f130056ed6e21b1237ac464e9e560e8e6", "title": "Model assisted bootstrapping for annotation of segmentation datasets", "addresses": [{"name": "University of Canterbury", "source_name": "University of Canterbury", "street_adddress": "University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa", "lat": "-43.52405280", "lng": "172.58030625", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402450"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "3a1a70ce6e785d527384f4e138120ce251092caa", "title": "Recurrent Instance Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08250.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "0dbcf98edac6122e5535493989b4947c57009b87", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "ccd45607c51675e6bb115523c56e3d76c0965ff8", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "174930cac7174257515a189cd3ecfdd80ee7dd54", "title": "Multi-view Face Detection Using Deep Convolutional Neural Networks", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02766.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "0534b58649818607a8ad31e6a63e4b1d37be16a5", "title": "Weakly supervised object detection with convex clustering", "addresses": [{"name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "source_name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Bilen_Weakly_Supervised_Object_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~hbilen/assets/pdf/Bilen15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298711", "http://doi.org/10.1109/CVPR.2015.7298711"]}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "12263ef777501b28b26d91f8540026b76d48e90a", "title": "Robust chinese traffic sign detection and recognition with deep convolutional neural network", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "The University of Liverpool", "source_name": "The University of Liverpool, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "Singapore"}, {"name": "Xi'an Jiaotong-Liverpool University", "source_name": "Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7378092"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "2ce073da76e6ed87eda2da08da0e00f4f060f1a6", "title": "Deep Saliency with Encoded Low Level Distance Map and High Level Features", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05495.pdf"], "doi": []}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "3babec90d7234913e792462bd336637ef7ae3651", "title": "Modeling the spatial layout of images beyond spatial pyramids", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://info.ee.surrey.ac.uk/Research/VSSP/Publications/papers/Sanchez-PRL-2012.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Sanchez-PRL-2012.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.07.019"]}, {"id": "1e89444ca418175f77ca1c6b5ec53ac0e534f583", "title": "Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7398101"]}, {"id": "021c3e8c3c64c25126315911f31cab1edca82ab3", "title": "DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02677.pdf"], "doi": []}, {"id": "469a66bfb7a152a61202c033a927c5737133d6b4", "title": "Multi-instance object segmentation with occlusion handling", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298969"]}, {"id": "2581a12189eb1a0b5b27a7fd1c2cbe44c88fcc20", "title": "Analyzing Classifiers: Fisher Vectors and Deep Neural Networks", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00172.pdf"], "doi": []}, {"id": "9a29e4d43e94985c1d152e621764be93c286a78d", "title": "segDeepM: Exploiting segmentation and context in deep neural networks for object detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299102"]}, {"id": "c194596aebe5b1cd6a789584516ac44d4817364c", "title": "A closer look at Faster R-CNN for vehicle detection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535375"]}, {"id": "ec3472acc24fe5ef9eb07a31697f2cd446c8facc", "title": "PixelNet: Representation of the pixels, by the pixels, and for the pixels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06506.pdf"], "doi": []}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "8e0a86634b286567433736a667e3a0bb7902470e", "title": "Dense Semantic Image Segmentation with Objects and Attributes", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://kylezheng.org/densesegattobjdataset/densesegattobj_CVPR2014_poster.pdf", "http://mmcheng.net/mftp/Papers/Denseseg4objattCVPR2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zheng_Dense_Semantic_Image_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2014/denseseg4objatt_CVPR2014_Kyle.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909807", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.411", "http://doi.org/10.1109/CVPR.2014.411"]}, {"id": "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "title": "SSH: Single Stage Headless Face Detector", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03979.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}]} \ No newline at end of file +{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"key": "voc", "name": "VOC", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "German Aerospace Center (DLR), Germany", "source_name": "German Aerospace Center (DLR), Germany", "street_adddress": "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "lat": "50.85502400", "lng": "7.11949760", "type": "edu", "country": "Germany"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"id": "0d760e7d762fa449737ad51431f3ff938d6803fe", "title": "LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05922.pdf"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "1329206dbdb0a2b9e23102e1340c17bd2b2adcf5", "title": "Part-Based R-CNNs for Fine-Grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "2dc9b005e936c9c303386caacc8d41cabdb1a0a1", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "1ee5f21021a78b942aa6a66e8bcfe95fc227068b", "title": "HCP: A Flexible CNN Framework for Multi-Label Image Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7305792"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "3664c2aab3b64930962f15e9c115e33c684ee10e", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "09da677bdbba113374d8fe4bb15ecfbdb4c8fe40", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "a572d976738579dd2d05c44555f726fc7fb1330e", "title": "Elucidating image-to-set prediction: An analysis of models, losses and datasets", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05709.pdf"], "doi": []}, {"id": "50b0d33f130056ed6e21b1237ac464e9e560e8e6", "title": "Model assisted bootstrapping for annotation of segmentation datasets", "addresses": [{"name": "University of Canterbury", "source_name": "University of Canterbury", "street_adddress": "University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa", "lat": "-43.52405280", "lng": "172.58030625", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402450"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object Detection", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "3a1a70ce6e785d527384f4e138120ce251092caa", "title": "Recurrent Instance Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08250.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "0dbcf98edac6122e5535493989b4947c57009b87", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "ccd45607c51675e6bb115523c56e3d76c0965ff8", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "174930cac7174257515a189cd3ecfdd80ee7dd54", "title": "Multi-view Face Detection Using Deep Convolutional Neural Networks", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02766.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "6641cbc41ad0b4660fa48036e38535a7b6174554", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "0534b58649818607a8ad31e6a63e4b1d37be16a5", "title": "Weakly supervised object detection with convex clustering", "addresses": [{"name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "source_name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Bilen_Weakly_Supervised_Object_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~hbilen/assets/pdf/Bilen15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298711", "http://doi.org/10.1109/CVPR.2015.7298711"]}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "12263ef777501b28b26d91f8540026b76d48e90a", "title": "Robust chinese traffic sign detection and recognition with deep convolutional neural network", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "The University of Liverpool", "source_name": "The University of Liverpool, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "Singapore"}, {"name": "Xi'an Jiaotong-Liverpool University", "source_name": "Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7378092"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "3d1053a1021a48538fd47c9689a81888d63ff37e", "title": "Parameter Learning and Convergent Inference for Dense Random Fields", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f544/b3aeeb2b3690cb90bf568cfe92d864107c9f.pdf"], "doi": []}, {"id": "2ce073da76e6ed87eda2da08da0e00f4f060f1a6", "title": "Deep Saliency with Encoded Low Level Distance Map and High Level Features", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05495.pdf"], "doi": []}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "3babec90d7234913e792462bd336637ef7ae3651", "title": "Modeling the spatial layout of images beyond spatial pyramids", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://info.ee.surrey.ac.uk/Research/VSSP/Publications/papers/Sanchez-PRL-2012.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Sanchez-PRL-2012.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.07.019"]}, {"id": "1e89444ca418175f77ca1c6b5ec53ac0e534f583", "title": "Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7398101"]}, {"id": "021c3e8c3c64c25126315911f31cab1edca82ab3", "title": "DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02677.pdf"], "doi": []}, {"id": "db14833dde228b911c7a1cbf025fdd78736eb520", "title": "Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db14/833dde228b911c7a1cbf025fdd78736eb520.pdf"], "doi": []}, {"id": "469a66bfb7a152a61202c033a927c5737133d6b4", "title": "Multi-instance object segmentation with occlusion handling", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298969"]}, {"id": "2581a12189eb1a0b5b27a7fd1c2cbe44c88fcc20", "title": "Analyzing Classifiers: Fisher Vectors and Deep Neural Networks", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00172.pdf"], "doi": []}, {"id": "9a29e4d43e94985c1d152e621764be93c286a78d", "title": "segDeepM: Exploiting segmentation and context in deep neural networks for object detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299102"]}, {"id": "c194596aebe5b1cd6a789584516ac44d4817364c", "title": "A closer look at Faster R-CNN for vehicle detection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535375"]}, {"id": "3964354a123009c071d493a521cfd0edf4396e66", "title": "Instance Segmentation of Indoor Scenes Using a Coverage Loss", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.nyu.edu/~dsontag/papers/SilSonFer_ECCV14.pdf", "http://cs.nyu.edu/~fergus/papers/silbermaneccv2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890616.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10590-1_40"]}, {"id": "ec3472acc24fe5ef9eb07a31697f2cd446c8facc", "title": "PixelNet: Representation of the pixels, by the pixels, and for the pixels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06506.pdf"], "doi": []}, {"id": "a93d6e82cd500663a8eea02a8e3617632aafe913", "title": "Convolutional Neural Network-based Place Recognition", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1509.pdf"], "doi": []}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "8e0a86634b286567433736a667e3a0bb7902470e", "title": "Dense Semantic Image Segmentation with Objects and Attributes", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://kylezheng.org/densesegattobjdataset/densesegattobj_CVPR2014_poster.pdf", "http://mmcheng.net/mftp/Papers/Denseseg4objattCVPR2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zheng_Dense_Semantic_Image_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2014/denseseg4objatt_CVPR2014_Kyle.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909807", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.411", "http://doi.org/10.1109/CVPR.2014.411"]}, {"id": "408e8eecc14c5cc60bbdfc486ba7a7fc97031788", "title": "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/408e/8eecc14c5cc60bbdfc486ba7a7fc97031788.pdf"], "doi": []}, {"id": "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "title": "SSH: Single Stage Headless Face Detector", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03979.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "addresses": [{"name": "University of California at Santa Barbara", "source_name": "University of California, Santa Barbara, CA 93106 USA", "street_adddress": "Santa Barbara, CA 93106, USA", "lat": "34.41358680", "lng": "-119.84969760", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "addresses": [{"name": "Yanshan University", "source_name": "Yanshan University, Qinhuangdao, China", "street_adddress": "438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China", "lat": "39.90450800", "lng": "119.53971900", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}]} \ No newline at end of file diff --git a/site/datasets/citations/voxceleb2.json b/site/datasets/citations/voxceleb2.json index b5e34f0c..d1271f30 100644 --- a/site/datasets/citations/voxceleb2.json +++ b/site/datasets/citations/voxceleb2.json @@ -1 +1 @@ -{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "paper": {"key": "voxceleb2", "name": "VoxCeleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "addresses": []}, "citations": [{"id": "827fdecf6a292cefb21837b9d11533a0e40f9e08", "title": "The Conversation: Deep Audio-Visual Speech Enhancement", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04121.pdf"], "doi": []}, {"id": "073e98d1a443e7b5f8b65903f18cd05a2b884400", "title": "Unsupervised Learning of Object Landmarks through Conditional Image Generation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "a5985dfb2f90cd34d83613b4872ac72b298a876e", "title": "VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04826.pdf"], "doi": []}, {"id": "4519b43e0d22934a2a3035d45f7626fe2e77643a", "title": "The VOiCES from a Distance Challenge 2019 Evaluation Plan", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.10828.pdf"], "doi": []}, {"id": "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "title": "Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653291"]}, {"id": "171f8f1090ef0533ff470ed5a4d31ecfefcc74be", "title": "Audio-Visual Scene Analysis with Self-Supervised Multisensory Features", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03641.pdf"], "doi": []}, {"id": "b808cfac9c44f27d3716f9280dad4dc2a9bbc8df", "title": "FOR MULTI-SPEAKER CONVERSATIONS USING X-VECTORS", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b808/cfac9c44f27d3716f9280dad4dc2a9bbc8df.pdf"], "doi": []}, {"id": "2c75e7ee01b362cc5f1ef2e49a84d56af93e6a3d", "title": "Training Speaker Recognition Models with Recording-Level Labels", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639601"]}, {"id": "f2640379adc41360adc1ff03c851b30e509e41b8", "title": "End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02455.pdf"], "doi": []}, {"id": "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "title": "You Said That?: Synthesising Talking Faces from Audio", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["http://www.robots.ox.ac.uk/~vgg/publications/2019/Jamaludin19/jamaludin19.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01150-y"]}, {"id": "fa62bd7c8e29a7f2c2104f7b769b487ab9dad4fb", "title": "Deep Neural Network Embedding Learning with High-Order Statistics for Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}, {"id": "78efccbfd1b1fca267c1b7903d3e4344c9d54ce3", "title": "Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06582.pdf"], "doi": []}, {"id": "5b65716709a2a7a4da2e2aeb611f82e7aacfbbf0", "title": "Large Margin Softmax Loss for Speaker Verification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03479.pdf"], "doi": []}, {"id": "70cfbf82cee2f007b3c65cf97373f66f13005b42", "title": "Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}]} \ No newline at end of file +{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "paper": {"key": "voxceleb2", "name": "VoxCeleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "addresses": []}, "citations": [{"id": "9461ae046dbbafbad095bbbc80d0b9e5931f6a72", "title": "Linkage Based Face Clustering via Graph Convolution Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "827fdecf6a292cefb21837b9d11533a0e40f9e08", "title": "The Conversation: Deep Audio-Visual Speech Enhancement", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04121.pdf"], "doi": []}, {"id": "073e98d1a443e7b5f8b65903f18cd05a2b884400", "title": "Unsupervised Learning of Object Landmarks through Conditional Image Generation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "a5985dfb2f90cd34d83613b4872ac72b298a876e", "title": "VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04826.pdf"], "doi": []}, {"id": "4519b43e0d22934a2a3035d45f7626fe2e77643a", "title": "The VOiCES from a Distance Challenge 2019 Evaluation Plan", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.10828.pdf"], "doi": []}, {"id": "54eef13b3fe487cc48a74faf8f486a312f545cc9", "title": "Self-supervised speaker embeddings", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03486.pdf"], "doi": []}, {"id": "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "title": "Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653291"]}, {"id": "171f8f1090ef0533ff470ed5a4d31ecfefcc74be", "title": "Audio-Visual Scene Analysis with Self-Supervised Multisensory Features", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03641.pdf"], "doi": []}, {"id": "acc405806229912e9723c55bf61dc1d34059f5d1", "title": "Few Shot Speaker Recognition using Deep Neural Networks", "addresses": [{"name": "Indian Institute of Technology Delhi, India", "source_name": "Indian Institute of Technology Delhi, India", "street_adddress": "IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India", "lat": "28.54497560", "lng": "77.19262840", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08775.pdf"], "doi": []}, {"id": "a9cbd487b394d94d5f303c91d7f14dae14f70acf", "title": "Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection", "addresses": [{"name": "University of Eastern Finland", "source_name": "University of Eastern Finland, Joensuu, Finland", "street_adddress": "Yliopistokatu 7, 80130 Joensuu, Finland", "lat": "62.60539600", "lng": "29.74053700", "type": "edu", "country": "Finland"}, {"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03790.pdf"], "doi": []}, {"id": "b808cfac9c44f27d3716f9280dad4dc2a9bbc8df", "title": "FOR MULTI-SPEAKER CONVERSATIONS USING X-VECTORS", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b808/cfac9c44f27d3716f9280dad4dc2a9bbc8df.pdf"], "doi": []}, {"id": "35a2ee8bb43ad14b966c294f599475c1edd5213e", "title": "Centroid-based deep metric learning for speaker recognition", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02375.pdf"], "doi": []}, {"id": "2c75e7ee01b362cc5f1ef2e49a84d56af93e6a3d", "title": "Training Speaker Recognition Models with Recording-Level Labels", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639601"]}, {"id": "f2640379adc41360adc1ff03c851b30e509e41b8", "title": "End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02455.pdf"], "doi": []}, {"id": "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "title": "You Said That?: Synthesising Talking Faces from Audio", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["http://www.robots.ox.ac.uk/~vgg/publications/2019/Jamaludin19/jamaludin19.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01150-y"]}, {"id": "fa62bd7c8e29a7f2c2104f7b769b487ab9dad4fb", "title": "Deep Neural Network Embedding Learning with High-Order Statistics for Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}, {"id": "37db8a78a6bb47f6de37f5e42f6df5cd7b1bd304", "title": "Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search", "addresses": [{"name": "University of Eastern Finland", "source_name": "University of Eastern Finland, Joensuu, Finland", "street_adddress": "Yliopistokatu 7, 80130 Joensuu, Finland", "lat": "62.60539600", "lng": "29.74053700", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03293.pdf"], "doi": []}, {"id": "78efccbfd1b1fca267c1b7903d3e4344c9d54ce3", "title": "Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06582.pdf"], "doi": []}, {"id": "65a9d4b8740b7ae48127d7eae9443086613a83a7", "title": "FML: Face Model Learning from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07603.pdf"], "doi": []}, {"id": "4da8fe0379af893cca721276e13db3622955b3e7", "title": "Fully Supervised Speaker Diarization", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04719.pdf"], "doi": []}, {"id": "5b65716709a2a7a4da2e2aeb611f82e7aacfbbf0", "title": "Large Margin Softmax Loss for Speaker Verification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03479.pdf"], "doi": []}, {"id": "70cfbf82cee2f007b3c65cf97373f66f13005b42", "title": "Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}, {"id": "6f0ce4d957c4e9556b04b539105837a5db63b925", "title": "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04558.pdf"], "doi": []}, {"id": "b3918fab36f106e83e016a3e33d260ad656191c4", "title": "MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "MIT Lincoln Laboratory, Lexington, MA, USA", "source_name": "MIT Lincoln Laboratory, Lexington, MA, USA", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1904.04240.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/citations/who_goes_there.json b/site/datasets/citations/who_goes_there.json index f05e19a0..f79723c6 100644 --- a/site/datasets/citations/who_goes_there.json +++ b/site/datasets/citations/who_goes_there.json @@ -1 +1 @@ -{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "paper": {"key": "who_goes_there", "name": "WGT", "title": "Who goes there?: approaches to mapping facial appearance diversity", "year": "2016", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}]}, "citations": [{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "title": "Who goes there?: approaches to mapping facial appearance diversity", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996997"]}, {"id": "dae4ef5f74faa454c2dc1e93f785421e9fee2550", "title": "Goods: Organizing Google's Datasets", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903730"]}, {"id": "e46204e9a241e60e34e769f60d38834390d3c423", "title": "The LFM-1b Dataset for Music Retrieval and Recommendation", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912004"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "60a4ad8e8f4389f317d109550f5da2a571cbb515", "title": "Quasar: Datasets for Question Answering by Search and Reading", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03904.pdf"], "doi": []}, {"id": "cf4e443c4268a3b6face07a30599529e6f47410c", "title": "Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.07079.pdf"], "doi": []}, {"id": "9059fb385a061e97047eb2cf1dee8b052f3fb18a", "title": "Knock Knock, Who's There? Membership Inference on Aggregate Location Data", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06145.pdf"], "doi": []}, {"id": "cc0d17d072c21de5886492c6a23642f15b7f7a25", "title": "RGB-D-based Action Recognition Datasets: A Survey", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05511.pdf"], "doi": []}, {"id": "5572104a2fa5b0abee49c93d34210fc2d610b0ad", "title": "Decibel: The Relational Dataset Branching System", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5572/104a2fa5b0abee49c93d34210fc2d610b0ad.pdf"], "doi": []}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "05f39431776d2b8858132b2118b68a6a68bf4f14", "title": "Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3026044"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "a4ef0d5af701894b602a2634f4393c12ecf3565a", "title": "RARD: The Related-Article Recommendation Dataset", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03428.pdf"], "doi": []}, {"id": "93978ba84c8e95ff82e8b5960eab64e54ca36296", "title": "AMHUSE: a multimodal dataset for HUmour SEnsing", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}, {"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136806"]}, {"id": "881a296cba3d53708541e9b389d483ea67a79a57", "title": "The Engineering Design with Everyday Materials Multi-modal Dataset", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/881a/296cba3d53708541e9b389d483ea67a79a57.pdf"], "doi": []}, {"id": "c382406fd8db2744b2a609837395e5da05e1d2ed", "title": "Going Deeper with Embedded FPGA Platform for Convolutional Neural Network", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2847265"]}, {"id": "1ecba124154f7259791ff0d1051147d74b955da0", "title": "VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06701.pdf"], "doi": []}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "68f3a246fb9a75f63aacd17b899f73896212cb94", "title": "Mining Frequent Learning Pathways from a Large Educational Dataset", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11125.pdf"], "doi": []}, {"id": "90fdd1bb2b374a06e40994b7b4d3c1eb61250d29", "title": "GSET somi: a game-specific eye tracking dataset for somi", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910616"]}, {"id": "481444fbc7e905a5c2b3fa02dd423e2a5c031a9a", "title": "I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840618"]}, {"id": "4973c24a9c1ed79d93b48245a4a71c1e47011ca4", "title": "Delve: A Dataset-Driven Scholarly Search and Analysis System", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3166059"]}, {"id": "dd647726bf29dc417b91d357873d0df68f9353e4", "title": "Zipf\u2019s Law Arises Naturally When There Are Underlying, Unobserved Variables", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dd64/7726bf29dc417b91d357873d0df68f9353e4.pdf"], "doi": []}, {"id": "b0fc67bfeab7a52c600c81616bc3eaf92799d006", "title": "Fake News vs Satire: A Dataset and Analysis", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3201100"]}, {"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "title": "USED: a large-scale social event detection dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910624"]}, {"id": "b462ada2df76bec043e8dce8043a89253682b1a7", "title": "Geometric Deep Learning: Going beyond Euclidean data", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974879"]}, {"id": "58d6540fda55db02feafdef0d6edab091dfda633", "title": "There Goes Your PIN: Exploiting Smartphone Sensor Fusion Under Single and Cross User Setting", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232826"]}, {"id": "0888deefaec3fb19ee2ee1fc4f2fe372104ad32b", "title": "Principal Turnover: Are There Different Types of Principals Who Move From or Leave Their Schools? A Latent Class Analysis of the 2007\u20132008 Schools and Staffing Survey and the 2008\u20132009 Principal Follow-Up Survey", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0888/deefaec3fb19ee2ee1fc4f2fe372104ad32b.pdf"], "doi": []}, {"id": "0d0ee35c1b05868c1bc9494a202dce4b7f414370", "title": "Dermatologist-level classification of skin cancer with deep neural networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://on-demand.gputechconf.com/gtc/2017/presentation/s7822-andre-esteva-dermatologiest-level-classification-of-skin-cancer.pdf", "http://web.stanford.edu/group/blau/pdfs/Esteva_Thrun_2017.pdf", "https://cs.stanford.edu/people/esteva/home/assets/nature_skincancer.pdf"], "doi": ["https://doi.org/10.1038/nature21056", "https://www.ncbi.nlm.nih.gov/pubmed/28117445", "https://www.wikidata.org/entity/Q28528865"]}, {"id": "fc24d32ab6acd5f1d2c478a6d0597c85afb28feb", "title": "Yelp Dataset Challenge: Review Rating Prediction", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05362.pdf"], "doi": []}, {"id": "9d158806959dee00a0c99c913aadc7a1df4717f2", "title": "BCE-Arabic-v1 dataset: Towards interpreting Arabic document images for people with visual impairments", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910725"]}, {"id": "6d7d7b0ad2811b838593fdeafeef79fb4ba10fe7", "title": "General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09902.pdf"], "doi": []}, {"id": "bae8ad8c52d098d25aa8d57e128ecebbe23dc75b", "title": "A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3151510"]}, {"id": "a43343e6b1f3a7b6971fdd5e6133aea9b2efe014", "title": "Your Culture is in Your Password: An Analysis of a Demographically-diverse Password Dataset", "addresses": [{"name": "Hamad Bin Khalifa University", "source_name": "College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar", "street_adddress": "Education City\u060c Ar-Rayyan, Qatar", "lat": "25.31430810", "lng": "51.43227840", "type": "edu", "country": "Qatar"}], "year": "2018", "pdf": ["https://eprint.iacr.org/2018/1063.pdf"], "doi": ["https://doi.org/10.1016/j.cose.2018.03.014", "https://eprint.iacr.org/2018/1063"]}, {"id": "9dafa540bcb30a8c4ffbe2d3a6cae65ecfb0d4bd", "title": "Come-and-Go Patterns of Group Evolution: A Dynamic Model", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2939795"]}, {"id": "eedc76b6754e3cc17373dfac604e82ab385460a9", "title": "MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge", "addresses": [{"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05223.pdf"], "doi": []}, {"id": "592614bf434d0c7c6fc32f72d5991b6f12bd2b9c", "title": "TWOS: A Dataset of Malicious Insider Threat Behavior Based on a Gamified Competition", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3139929"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "1ea74780d529a458123a08250d8fa6ef1da47a25", "title": "Videos from the 2013 Boston Marathon : An Event Reconstruction Dataset for Synchronization and Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a36c/8a4213251d3fd634e8893ad1b932205ad1ca.pdf"], "doi": []}, {"id": "0a03b67644a6411ab7ec73551aa27060b8e4ab1d", "title": "A Comparative Look into Public IXP Datasets", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2875955"]}, {"id": "7c950ae2a5820fec01a73b2a64557569c7bce566", "title": "Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation", "addresses": [{"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fd3f/bc186483588af470886e04c3b9f9203881c1.pdf"], "doi": []}, {"id": "ae2384bb9d9c965a31f3a4107f25c14c3bb3406a", "title": "Preparing a Dataset for Extracting Decision Elements from a Meeting Transcript Corpus", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ae23/84bb9d9c965a31f3a4107f25c14c3bb3406a.pdf"], "doi": []}, {"id": "c60316bbccc8fc05ded0667c1baf9e91c5f85f6d", "title": "Moving Destination Prediction Using Sparse Dataset: A Mobility Gradient Descent Approach", "addresses": [{"name": "Northwestern Polytechnical University, Shaanxi, China", "source_name": "NPU-VUB Joint AVSP Research Lab, Northwestern Polytechnical University (NPU) Shaanxi Key Lab on Speech and Image Information Processing, 127 Youyi Xilu, Xi'an 710072, China", "street_adddress": "Bianjiacun Commerce Block, Beilin, Xi'an, Shaanxi, China, 710072", "lat": "34.24583120", "lng": "108.91611680", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3051128"]}, {"id": "e2bc01813d6ef50194588086e2adea42bdf2323b", "title": "The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03677.pdf"], "doi": []}, {"id": "605e16c4cb3cfbfec1f14196f0e263dceeea6ca3", "title": "Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03253.pdf"], "doi": []}, {"id": "ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835", "title": "The BDD-Nexar Collective : A Large-Scale , Crowsourced , Dataset of Driving Scenes Vashisht Madhavan", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ffb2/d596c22be7b0ed8f809fdfbeaa95bd4db835.pdf"], "doi": []}, {"id": "adab8d8861ff8058ca78d08c89d1268ed6247b45", "title": "UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions", "addresses": [{"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136814"]}, {"id": "c26d67172392c89b90538cad499745a5bf26b21d", "title": "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09635.pdf"], "doi": []}, {"id": "1546d827cbde8d219605d2740236c769e61c8400", "title": "MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3208141"]}, {"id": "d7571c931f1965fcca1f2a616189031a14107418", "title": "You Tweet What You Speak: A City-Level Dataset of Arabic Dialects", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d757/1c931f1965fcca1f2a616189031a14107418.pdf"], "doi": []}, {"id": "98af63afb7bab7e397eb5e60f49834d7b521054e", "title": "CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03166.pdf"], "doi": []}, {"id": "489ad62cd6dfccb494d84d440617370bc6018b7d", "title": "Shared dataset on natural human-computer interaction to support continuous authentication research", "addresses": [{"name": "Clarkson University", "source_name": "Clarkson University, 8 Clarkson Ave, Potsdam, New York", "street_adddress": "8 Clarkson Ave, Potsdam, NY 13699, USA", "lat": "44.66376110", "lng": "-74.99854400", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272738"]}, {"id": "3ec09bf7d74186f1adcaf353f69ce84bb34aa391", "title": "VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Samsung", "source_name": "Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea", "street_adddress": "Seoul, South Korea", "lat": "37.56653500", "lng": "126.97796920", "type": "company", "country": "South Korea"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01500.pdf"], "doi": []}, {"id": "9b71b307a2f99fb404c6f6159b146547a0dc1cbc", "title": "DART: a Dataset of Arguments and their Relations on Twitter", "addresses": [{"name": "INRIA Sophia Antipolis", "source_name": "INRIA Sophia Antipolis Meditérannée, Valbonne, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b71/b307a2f99fb404c6f6159b146547a0dc1cbc.pdf"], "doi": []}, {"id": "b82058b4bf630d33e129ab097b8cacf6cc3d4556", "title": "FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Erlangen-Nuremberg", "source_name": "Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany", "street_adddress": "6. Stock, Cauerstra\u00dfe 7, 91058 Erlangen, Germany", "lat": "49.57282740", "lng": "11.02863460", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09179.pdf"], "doi": []}, {"id": "5c75cebd81c4fa5245d95dbb8d6e93c63051ed0a", "title": "Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c75/cebd81c4fa5245d95dbb8d6e93c63051ed0a.pdf"], "doi": []}, {"id": "c122fa378a774ba202d418cf71c5c356cf2f902f", "title": "GQA: a new dataset for compositional question answering over real-world images", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09506.pdf"], "doi": []}, {"id": "0d9fa043fd72239e788c583447d205b2fbd12a79", "title": "Who gets evicted? Assessing individual, neighborhood, and\u00a0network factors.", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://scholar.harvard.edu/files/mdesmond/files/desmondgershenson.ssr_.2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28126112", "https://doi.org/10.1016/j.ssresearch.2016.08.017"]}, {"id": "0004086a1b043001beee02e0ee20629899a26bf1", "title": "OrpheusDB: A Lightweight Approach to Relational Dataset Versioning", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3058744"]}, {"id": "f24b64e28cfb2e460dd722604a0cc5e0b71f7117", "title": "There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lerv\u00e5g and Hulme (2015).", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt1nh0g5f0/qt1nh0g5f0.pdf?t=ojzfwr"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26518308", "https://doi.org/10.3758/s13423-015-0967-4"]}]} \ No newline at end of file +{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "paper": {"key": "who_goes_there", "name": "WGT", "title": "Who goes there?: approaches to mapping facial appearance diversity", "year": "2016", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}]}, "citations": [{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "title": "Who goes there?: approaches to mapping facial appearance diversity", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996997"]}, {"id": "d33c745e04b36f269d660dea6719b0c47c9478b7", "title": "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}, {"name": "Tokyo Metropolitan University", "source_name": "Tokyo Metropolitan University", "street_adddress": "\u9996\u90fd\u5927\u5b66\u6771\u4eac, \u7531\u6728\u7dd1\u9053, \u516b\u738b\u5b50\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 1920364, \u65e5\u672c", "lat": "35.62009250", "lng": "139.38296706", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/351b/406dbfabd14d472c2f4ab17671fb300ded4a.pdf"], "doi": []}, {"id": "dae4ef5f74faa454c2dc1e93f785421e9fee2550", "title": "Goods: Organizing Google's Datasets", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903730"]}, {"id": "efe16df08d9a2575b17bf1a92a1750207101f50b", "title": "RACE: Large-scale ReAding Comprehension Dataset From Examinations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04683.pdf"], "doi": []}, {"id": "e46204e9a241e60e34e769f60d38834390d3c423", "title": "The LFM-1b Dataset for Music Retrieval and Recommendation", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912004"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "60a4ad8e8f4389f317d109550f5da2a571cbb515", "title": "Quasar: Datasets for Question Answering by Search and Reading", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03904.pdf"], "doi": []}, {"id": "cf4e443c4268a3b6face07a30599529e6f47410c", "title": "Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.07079.pdf"], "doi": []}, {"id": "9059fb385a061e97047eb2cf1dee8b052f3fb18a", "title": "Knock Knock, Who's There? Membership Inference on Aggregate Location Data", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06145.pdf"], "doi": []}, {"id": "a9f1838de25c17a38fae9738d137d7c7644b3be1", "title": "Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}, {"name": "University of Pisa", "source_name": "University of Pisa", "street_adddress": "Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia", "lat": "43.72012990", "lng": "10.40789760", "type": "edu", "country": "Italy"}, {"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a9f1/838de25c17a38fae9738d137d7c7644b3be1.pdf"], "doi": []}, {"id": "cc0d17d072c21de5886492c6a23642f15b7f7a25", "title": "RGB-D-based Action Recognition Datasets: A Survey", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05511.pdf"], "doi": []}, {"id": "5572104a2fa5b0abee49c93d34210fc2d610b0ad", "title": "Decibel: The Relational Dataset Branching System", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5572/104a2fa5b0abee49c93d34210fc2d610b0ad.pdf"], "doi": []}, {"id": "91e262c4170775d2c4d09c1028ed841484d22729", "title": "STARDATA: A StarCraft AI Research Dataset", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02139.pdf"], "doi": []}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "05f39431776d2b8858132b2118b68a6a68bf4f14", "title": "Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3026044"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "b24cac5a4ce8009f729ee273bbc90365f19ae911", "title": "Who Benefits from the \"Sharing\" Economy of Airbnb?", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02238.pdf"], "doi": []}, {"id": "02cc92287c6614b6a2aa982007471f16b3450013", "title": "Towards a Dataset for Human Computer Communication via Grounded Language Acquisition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02cc/92287c6614b6a2aa982007471f16b3450013.pdf"], "doi": []}, {"id": "40c759b61ebfb2a2eb07d9f72e304fa9bee2c495", "title": "Funding rebellion: The Rebel Contraband Dataset", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/40c7/59b61ebfb2a2eb07d9f72e304fa9bee2c495.pdf"], "doi": []}, {"id": "a4ef0d5af701894b602a2634f4393c12ecf3565a", "title": "RARD: The Related-Article Recommendation Dataset", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03428.pdf"], "doi": []}, {"id": "0e5b055fdd5ba45930a2a3e719af769cd15d9b61", "title": "Satisfying Real-world Goals with Dataset Constraints", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07558.pdf"], "doi": []}, {"id": "93978ba84c8e95ff82e8b5960eab64e54ca36296", "title": "AMHUSE: a multimodal dataset for HUmour SEnsing", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}, {"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136806"]}, {"id": "76726edaef96a688361fc7627e7fdc64ecb7ec78", "title": "SIMADL: Simulated Activities of Daily Living Dataset", "addresses": [{"name": "Staffordshire University", "source_name": "Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.", "street_adddress": "32 Leek Rd, Stoke-on-Trent ST4 2AR, UK", "lat": "53.00742450", "lng": "-2.17757900", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7672/6edaef96a688361fc7627e7fdc64ecb7ec78.pdf"], "doi": []}, {"id": "4b133ba6de9a7e1c7305c65eae34cde6ed34f8ce", "title": "UTSig: A Persian Offline Signature Dataset", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}, {"name": "Institute for Research in Fundamental Sciences (IPM)", "source_name": "Institute for Research in Fundamental Sciences (IPM)", "street_adddress": "Tehran Province, Tehran, Niavaran Building\u060c Bahonar Sq., Iran", "lat": "35.80997430", "lng": "51.46993270", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.03235.pdf"], "doi": []}, {"id": "881a296cba3d53708541e9b389d483ea67a79a57", "title": "The Engineering Design with Everyday Materials Multi-modal Dataset", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/881a/296cba3d53708541e9b389d483ea67a79a57.pdf"], "doi": []}, {"id": "8b354d76813bd5375e7e5c8d17f630bec5936a01", "title": "ListOps: A Diagnostic Dataset for Latent Tree Learning", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06028.pdf"], "doi": []}, {"id": "3704c08a48102e55c6eb8c42f0a2ed625e4133b2", "title": "DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3704/c08a48102e55c6eb8c42f0a2ed625e4133b2.pdf"], "doi": []}, {"id": "c382406fd8db2744b2a609837395e5da05e1d2ed", "title": "Going Deeper with Embedded FPGA Platform for Convolutional Neural Network", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2847265"]}, {"id": "1ecba124154f7259791ff0d1051147d74b955da0", "title": "VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06701.pdf"], "doi": []}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "68f3a246fb9a75f63aacd17b899f73896212cb94", "title": "Mining Frequent Learning Pathways from a Large Educational Dataset", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11125.pdf"], "doi": []}, {"id": "90fdd1bb2b374a06e40994b7b4d3c1eb61250d29", "title": "GSET somi: a game-specific eye tracking dataset for somi", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910616"]}, {"id": "481444fbc7e905a5c2b3fa02dd423e2a5c031a9a", "title": "I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840618"]}, {"id": "4973c24a9c1ed79d93b48245a4a71c1e47011ca4", "title": "Delve: A Dataset-Driven Scholarly Search and Analysis System", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3166059"]}, {"id": "dd647726bf29dc417b91d357873d0df68f9353e4", "title": "Zipf\u2019s Law Arises Naturally When There Are Underlying, Unobserved Variables", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dd64/7726bf29dc417b91d357873d0df68f9353e4.pdf"], "doi": []}, {"id": "1f59fa7f65f1f78453d0c8f08d5b84d50475d43c", "title": "Adversarial Learning and Explainability in Structured Datasets", "addresses": [{"name": "University of Wisconsin, Madison", "source_name": "Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA", "street_adddress": "600 Highland Ave, Madison, WI 53792, USA", "lat": "43.07633290", "lng": "-89.43133110", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06583.pdf"], "doi": []}, {"id": "579914dac924d6b4a17889ea7b0dd744a62bbd74", "title": "IBC-C : A Dataset for Armed Conflict Event Analysis", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5799/14dac924d6b4a17889ea7b0dd744a62bbd74.pdf"], "doi": []}, {"id": "b0fc67bfeab7a52c600c81616bc3eaf92799d006", "title": "Fake News vs Satire: A Dataset and Analysis", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3201100"]}, {"id": "3108f96f80d129036f53684344f4058257b37c4b", "title": "DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03957.pdf"], "doi": []}, {"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "title": "USED: a large-scale social event detection dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910624"]}, {"id": "b462ada2df76bec043e8dce8043a89253682b1a7", "title": "Geometric Deep Learning: Going beyond Euclidean data", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974879"]}, {"id": "58d6540fda55db02feafdef0d6edab091dfda633", "title": "There Goes Your PIN: Exploiting Smartphone Sensor Fusion Under Single and Cross User Setting", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232826"]}, {"id": "0888deefaec3fb19ee2ee1fc4f2fe372104ad32b", "title": "Principal Turnover: Are There Different Types of Principals Who Move From or Leave Their Schools? A Latent Class Analysis of the 2007\u20132008 Schools and Staffing Survey and the 2008\u20132009 Principal Follow-Up Survey", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0888/deefaec3fb19ee2ee1fc4f2fe372104ad32b.pdf"], "doi": []}, {"id": "0d0ee35c1b05868c1bc9494a202dce4b7f414370", "title": "Dermatologist-level classification of skin cancer with deep neural networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://on-demand.gputechconf.com/gtc/2017/presentation/s7822-andre-esteva-dermatologiest-level-classification-of-skin-cancer.pdf", "http://web.stanford.edu/group/blau/pdfs/Esteva_Thrun_2017.pdf", "https://cs.stanford.edu/people/esteva/home/assets/nature_skincancer.pdf"], "doi": ["https://doi.org/10.1038/nature21056", "https://www.ncbi.nlm.nih.gov/pubmed/28117445", "https://www.wikidata.org/entity/Q28528865"]}, {"id": "fc24d32ab6acd5f1d2c478a6d0597c85afb28feb", "title": "Yelp Dataset Challenge: Review Rating Prediction", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05362.pdf"], "doi": []}, {"id": "9d158806959dee00a0c99c913aadc7a1df4717f2", "title": "BCE-Arabic-v1 dataset: Towards interpreting Arabic document images for people with visual impairments", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910725"]}, {"id": "6d7d7b0ad2811b838593fdeafeef79fb4ba10fe7", "title": "General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09902.pdf"], "doi": []}, {"id": "bae8ad8c52d098d25aa8d57e128ecebbe23dc75b", "title": "A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3151510"]}, {"id": "a43343e6b1f3a7b6971fdd5e6133aea9b2efe014", "title": "Your Culture is in Your Password: An Analysis of a Demographically-diverse Password Dataset", "addresses": [{"name": "Hamad Bin Khalifa University", "source_name": "College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar", "street_adddress": "Education City\u060c Ar-Rayyan, Qatar", "lat": "25.31430810", "lng": "51.43227840", "type": "edu", "country": "Qatar"}], "year": "2018", "pdf": ["https://eprint.iacr.org/2018/1063.pdf"], "doi": ["https://doi.org/10.1016/j.cose.2018.03.014", "https://eprint.iacr.org/2018/1063"]}, {"id": "9dafa540bcb30a8c4ffbe2d3a6cae65ecfb0d4bd", "title": "Come-and-Go Patterns of Group Evolution: A Dynamic Model", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2939795"]}, {"id": "eedc76b6754e3cc17373dfac604e82ab385460a9", "title": "MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge", "addresses": [{"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05223.pdf"], "doi": []}, {"id": "592614bf434d0c7c6fc32f72d5991b6f12bd2b9c", "title": "TWOS: A Dataset of Malicious Insider Threat Behavior Based on a Gamified Competition", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3139929"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "1ea74780d529a458123a08250d8fa6ef1da47a25", "title": "Videos from the 2013 Boston Marathon : An Event Reconstruction Dataset for Synchronization and Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a36c/8a4213251d3fd634e8893ad1b932205ad1ca.pdf"], "doi": []}, {"id": "8f1c9b656157b1d851563fb42129245701d83175", "title": "Transforming Question Answering Datasets Into Natural Language Inference Datasets", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02922.pdf"], "doi": []}, {"id": "3cd586af4396bbda232f279f6c62a17593ce7fd1", "title": "Adverse Drug Event Reporting From Clinical Care: Mixed-Methods Analysis for a Minimum Required Dataset", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3cd5/86af4396bbda232f279f6c62a17593ce7fd1.pdf"], "doi": []}, {"id": "f318fbc554bdbe3678de599e7391a4d222e76128", "title": "TokTrack: A Complete Token Provenance and Change Tracking Dataset for the English Wikipedia", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08244.pdf"], "doi": []}, {"id": "0a03b67644a6411ab7ec73551aa27060b8e4ab1d", "title": "A Comparative Look into Public IXP Datasets", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2875955"]}, {"id": "7c950ae2a5820fec01a73b2a64557569c7bce566", "title": "Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation", "addresses": [{"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fd3f/bc186483588af470886e04c3b9f9203881c1.pdf"], "doi": []}, {"id": "96dd83b848ca3ed5b36a579ef102d3b1788530dc", "title": "Analyzing Assumptions in Conversation Disentanglement Research Through the Lens of a New Dataset and Model", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11118.pdf"], "doi": []}, {"id": "ae2384bb9d9c965a31f3a4107f25c14c3bb3406a", "title": "Preparing a Dataset for Extracting Decision Elements from a Meeting Transcript Corpus", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ae23/84bb9d9c965a31f3a4107f25c14c3bb3406a.pdf"], "doi": []}, {"id": "c60316bbccc8fc05ded0667c1baf9e91c5f85f6d", "title": "Moving Destination Prediction Using Sparse Dataset: A Mobility Gradient Descent Approach", "addresses": [{"name": "Northwestern Polytechnical University, Shaanxi, China", "source_name": "NPU-VUB Joint AVSP Research Lab, Northwestern Polytechnical University (NPU) Shaanxi Key Lab on Speech and Image Information Processing, 127 Youyi Xilu, Xi'an 710072, China", "street_adddress": "Bianjiacun Commerce Block, Beilin, Xi'an, Shaanxi, China, 710072", "lat": "34.24583120", "lng": "108.91611680", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3051128"]}, {"id": "e2bc01813d6ef50194588086e2adea42bdf2323b", "title": "The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03677.pdf"], "doi": []}, {"id": "605e16c4cb3cfbfec1f14196f0e263dceeea6ca3", "title": "Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03253.pdf"], "doi": []}, {"id": "ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835", "title": "The BDD-Nexar Collective : A Large-Scale , Crowsourced , Dataset of Driving Scenes Vashisht Madhavan", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ffb2/d596c22be7b0ed8f809fdfbeaa95bd4db835.pdf"], "doi": []}, {"id": "adab8d8861ff8058ca78d08c89d1268ed6247b45", "title": "UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions", "addresses": [{"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136814"]}, {"id": "c26d67172392c89b90538cad499745a5bf26b21d", "title": "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09635.pdf"], "doi": []}, {"id": "1546d827cbde8d219605d2740236c769e61c8400", "title": "MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3208141"]}, {"id": "f48c867eb3bcbeb1eab6ad91d9bad91af9797634", "title": "In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++", "addresses": [{"name": "Charles University", "source_name": "Charles University, Prague, Czech Rep", "street_adddress": "Opletalova 38, Star\u00e9 M\u011bsto, 110 00 Praha-Praha 1, Czechia", "lat": "50.08711060", "lng": "14.42348890", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04824.pdf"], "doi": []}, {"id": "8b5e900876e4227b1e228b2ae2b211a2b88096d3", "title": "The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics", "addresses": [{"name": "University of the West of England", "source_name": "Machine Vision Laboratory, University of the West of England, Bristol, UK", "street_adddress": "Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK", "lat": "51.50152270", "lng": "-2.54807570", "type": "edu", "country": "United Kingdom"}, {"name": "University of Plymouth", "source_name": "University of Plymouth", "street_adddress": "Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37525010", "lng": "-4.13927692", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8b5e/900876e4227b1e228b2ae2b211a2b88096d3.pdf"], "doi": []}, {"id": "d7571c931f1965fcca1f2a616189031a14107418", "title": "You Tweet What You Speak: A City-Level Dataset of Arabic Dialects", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d757/1c931f1965fcca1f2a616189031a14107418.pdf"], "doi": []}, {"id": "98af63afb7bab7e397eb5e60f49834d7b521054e", "title": "CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03166.pdf"], "doi": []}, {"id": "489ad62cd6dfccb494d84d440617370bc6018b7d", "title": "Shared dataset on natural human-computer interaction to support continuous authentication research", "addresses": [{"name": "Clarkson University", "source_name": "Clarkson University, 8 Clarkson Ave, Potsdam, New York", "street_adddress": "8 Clarkson Ave, Potsdam, NY 13699, USA", "lat": "44.66376110", "lng": "-74.99854400", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272738"]}, {"id": "3ec09bf7d74186f1adcaf353f69ce84bb34aa391", "title": "VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Samsung", "source_name": "Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea", "street_adddress": "Seoul, South Korea", "lat": "37.56653500", "lng": "126.97796920", "type": "company", "country": "South Korea"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01500.pdf"], "doi": []}, {"id": "9b71b307a2f99fb404c6f6159b146547a0dc1cbc", "title": "DART: a Dataset of Arguments and their Relations on Twitter", "addresses": [{"name": "INRIA Sophia Antipolis", "source_name": "INRIA Sophia Antipolis Meditérannée, Valbonne, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b71/b307a2f99fb404c6f6159b146547a0dc1cbc.pdf"], "doi": []}, {"id": "b82058b4bf630d33e129ab097b8cacf6cc3d4556", "title": "FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Erlangen-Nuremberg", "source_name": "Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany", "street_adddress": "6. Stock, Cauerstra\u00dfe 7, 91058 Erlangen, Germany", "lat": "49.57282740", "lng": "11.02863460", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09179.pdf"], "doi": []}, {"id": "5c75cebd81c4fa5245d95dbb8d6e93c63051ed0a", "title": "Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c75/cebd81c4fa5245d95dbb8d6e93c63051ed0a.pdf"], "doi": []}, {"id": "c122fa378a774ba202d418cf71c5c356cf2f902f", "title": "GQA: a new dataset for compositional question answering over real-world images", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09506.pdf"], "doi": []}, {"id": "060ba38c61dccf3cc557796e115bdd2a6ad3bf0c", "title": "Outsourcing Medical Dataset Analysis: A Possible Solution", "addresses": [{"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://fc17.ifca.ai/preproceedings/paper_97.pdf", "http://www.cs.jhu.edu/~gkaptch1/publications/dataset_analysis.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-70972-7_6"]}, {"id": "0d9fa043fd72239e788c583447d205b2fbd12a79", "title": "Who gets evicted? Assessing individual, neighborhood, and\u00a0network factors.", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://scholar.harvard.edu/files/mdesmond/files/desmondgershenson.ssr_.2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28126112", "https://doi.org/10.1016/j.ssresearch.2016.08.017"]}, {"id": "a6e6c3aa033f131ab723009ba63051f9c70e12d8", "title": "\u201cIf Chemists Don\u2019t Do It, Who Is Going To?\u201d Peer-driven Occupational Change and the Emergence of Green Chemistry:", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6e6/c3aa033f131ab723009ba63051f9c70e12d8.pdf"], "doi": []}, {"id": "0004086a1b043001beee02e0ee20629899a26bf1", "title": "OrpheusDB: A Lightweight Approach to Relational Dataset Versioning", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3058744"]}, {"id": "654948d57fe8f257bdb7ab39548f141bae30776a", "title": "Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f942/55c63eba80ee41472f0c73a531c4e1889909.pdf"], "doi": []}, {"id": "f24b64e28cfb2e460dd722604a0cc5e0b71f7117", "title": "There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lerv\u00e5g and Hulme (2015).", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt1nh0g5f0/qt1nh0g5f0.pdf?t=ojzfwr"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26518308", "https://doi.org/10.3758/s13423-015-0967-4"]}]} \ No newline at end of file diff --git a/site/datasets/citations/yfcc_100m.json b/site/datasets/citations/yfcc_100m.json index d302ab3b..99bd13a7 100644 --- a/site/datasets/citations/yfcc_100m.json +++ b/site/datasets/citations/yfcc_100m.json @@ -1 +1 @@ -{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "paper": {"key": "yfcc_100m", "name": "YFCC100M", "title": "YFCC100M: the new data in multimedia research", "year": "2016", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": [{"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "92fb2cb7f9a54360ea4442f902472aded5e88c74", "title": "Blackthorn: Large-Scale Interactive Multimodal Learning", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pure.itu.dk/portal/files/82406569/tmm_2017_blackthorn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048559", "http://doi.org/10.1109/TMM.2017.2755986"]}, {"id": "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "title": "Combining Low-Density Separators with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b139/8234454ee3c9bc5a20f6d2d00232cb79622c.pdf"], "doi": []}, {"id": "36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49", "title": "Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f1f4/5a961cd429d3257d98a9a7f803a2783f11a8.pdf"], "doi": []}, {"id": "1cb5547c3f5ff42746bf9c4e083795aed3c8c609", "title": "Capped Lp-Norm Graph Embedding for Photo Clustering", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967257"]}, {"id": "db63bf0ea02ad561d6b97c6cf000c3954e428787", "title": "Polyphonic Sound Event Detection with Weak Labeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/06fb/e175f8d34c6d8524e1a9357859bce230ae6a.pdf"], "doi": []}, {"id": "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "title": "Learning to Find Good Correspondences", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05971.pdf"], "doi": []}, {"id": "b0f513aa41b5aeb9384f7375fbbf2030be526a93", "title": "GeoPose3K: Mountain landscape dataset for camera pose estimation in outdoor environments", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cphoto.fit.vutbr.cz/geoPose3K/data/geoPose3K_submission.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.009"]}, {"id": "0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7", "title": "On Allocating Cache Resources to Content Providers", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984371"]}, {"id": "5ed63317cdef429f77499d9de0e58402ed1f687e", "title": "From Photo Streams to Evolving Situations", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Mahidol University", "source_name": "Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand", "street_adddress": "Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand", "lat": "13.79727770", "lng": "100.32632160", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05878.pdf"], "doi": []}, {"id": "866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583", "title": "DCAR: A Discriminative and Compact Audio Representation for Audio Processing", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Agricultural University of Hebei", "source_name": "College of Information Science and Technology, Agricultural University of Hebei, Baoding, China", "street_adddress": "Qimin Rd, Nan Shi Qu, Baoding Shi, Hebei Sheng, China, 071000", "lat": "38.85062000", "lng": "115.48315900", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/DCAR_07927482.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927482", "http://doi.org/10.1109/TMM.2017.2703939"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "8b6f94d27ee220d6528b735c39a2707810aa4646", "title": "YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983557"]}, {"id": "6ecb8f65ba1ede4877d75979b1540503e568303c", "title": "OmniArt: A Large-scale Artistic Benchmark", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3273022"]}, {"id": "25291c10213b6bec098e1611d145facfa5d2b398", "title": "Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2529/1c10213b6bec098e1611d145facfa5d2b398.pdf"], "doi": []}, {"id": "e4ca0b623d81a6cfa4ad852e9ef931980e44dccc", "title": "Identifying concavity laws of attractiveness character for composite regions: Application through geo-tagged media check-ins", "addresses": [{"name": "Amity University", "source_name": "Amity University", "street_adddress": "Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India", "lat": "26.85095965", "lng": "81.04950965", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229994"]}, {"id": "c452a759042233ce3658bc734bf48535660f77ca", "title": "CARTS: Constraint-based analytics from real-time system monitoring", "addresses": [{"name": "University of Ontario", "source_name": "Computer and Software Engineering, University of Ontario, Institute of Technology, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/0973.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122940", "http://doi.org/10.1109/SMC.2017.8122940"]}, {"id": "0f6090015ce5b19ff5b7f58ae849668bf04fa3cd", "title": "Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "University of Southampton IT Innovation Centre", "source_name": "University of Southampton IT Innovation Centre, Southampton, UK", "street_adddress": "University Rd, Southampton SO17 1BJ, UK", "lat": "50.93358470", "lng": "-1.39529590", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3202662"]}, {"id": "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "title": "KonIQ-10k: Towards an ecologically valid and large-scale IQA database", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08489.pdf"], "doi": []}, {"id": "49a45e5e296815de821a6bd03b2b5d3c0da2cdb7", "title": "Environment perception in racing simulators using Deep Neural Networks", "addresses": [{"name": "Transilvania University of Brasov", "source_name": "Transilvania University of Brasov, Romania 500024", "street_adddress": "Bulevardul Eroilor 29, Bra\u0219ov 500036, Romania", "lat": "45.64515460", "lng": "25.58911840", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975119"]}, {"id": "2e3c8c8a413a317295bd44d86d089ed70a0b0c29", "title": "Introducing Concept And Syntax Transition Networks for Image Captioning", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2930060"]}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "666300af8ffb8c903223f32f1fcc5c4674e2430b", "title": "Changing Fashion Cultures", "addresses": [{"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07920.pdf"], "doi": []}, {"id": "36631dcbb9452ea3d35b19b2de6ef709022531a6", "title": "TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "d0b936f643f7462068517e0a840e775d6bd4abfb", "title": "Improving Video Generation for Multi-functional Applications", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.11453.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9", "title": "PQk-means: Billion-scale Clustering for Product-quantized Codes", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03708.pdf"], "doi": []}, {"id": "23de28db3c90eadcd98554a68e0425cb6aac9844", "title": "Using Photos as Micro-Reports of Events", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912020"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "aa246dd3999021ec733a56c3d4b7b6772ba007f8", "title": "Beautiful...but at What Cost?: An Examination of Externalities in Geographic Vehicle Routing", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3090080"]}, {"id": "64a0323adf55db3d3de20cc2a8176961548379f4", "title": "Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags", "addresses": [{"name": "SUNY Binghamton, Binghamton, NY, USA", "source_name": "SUNY Binghamton, Binghamton, NY, USA", "street_adddress": "4400 Vestal Pkwy E, Binghamton, NY 13902, USA", "lat": "42.08935530", "lng": "-75.96970490", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206061"]}, {"id": "815dfb96d8ce15ca95c773b8f3dac08b355fa7bb", "title": "State-of-the-art in visual geo-localization", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cadik.posvete.cz/papers/brejcha-cadik17geolocalization_methods_survey.pdf"], "doi": ["http://doi.org/10.1007/s10044-017-0611-1"]}, {"id": "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "title": "Visual congruent ads for image search", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "source_name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "source_name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}, {"name": "Futurewei Technologies Inc., USA", "source_name": "Futurewei Technologies Inc., USA", "street_adddress": "5340 Legacy Dr, Plano, TX 75024, USA", "lat": "33.07233720", "lng": "-96.81029900", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://skamalas.com/docs/ICPR_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899849", "http://doi.org/10.1109/ICPR.2016.7899849"]}, {"id": "4ab023f9bac5c85b829be95c905b6d5dc51820c2", "title": "Discovering physics and design trends from visual temporal structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4ab0/23f9bac5c85b829be95c905b6d5dc51820c2.pdf"], "doi": []}, {"id": "52516cf440eaf57966bfef2a6cc800163bd85793", "title": "Rethinking Summarization and Storytelling for Modern Social Multimedia", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}, {"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "FX Palo Alto Laboratory", "source_name": "FX Palo Alto Laboratory", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5251/6cf440eaf57966bfef2a6cc800163bd85793.pdf"], "doi": []}, {"id": "4a29bc00d1bc944fffe510713e3e8f2206c33fd1", "title": "Self-supervised Segmentation by Grouping Optical-Flow", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4a29/bc00d1bc944fffe510713e3e8f2206c33fd1.pdf"], "doi": []}, {"id": "c82840923eeded245a8dab2dd102d8b0cf96758a", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "bc6830fd4ac9307ddd323c5f92627fd42ac02ff5", "title": "Video Description Generation using Audio and Visual Cues", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912043"]}, {"id": "cfef79c6ba4679e2c0ab902905701d39221b6f1f", "title": "A robust and imperceptible steganography technique for SD and HD videos", "addresses": [{"name": "Panjab University", "source_name": "UIET, Panjab University, Chandigarh, India", "street_adddress": "Chandigarh Rd, Sector 25, Chandigarh, 160036, India", "lat": "30.74876290", "lng": "76.75671910", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6093-3"]}, {"id": "7559688658fbfcfea6829ce48ff6583d1c3439f9", "title": "Capacity-aware Sequential Recommendations", "addresses": [{"name": "Adobe Systems, San Jose, CA, USA", "source_name": "Adobe Systems, San Jose, CA, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, United States", "lat": "37.33065560", "lng": "-121.89430410", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netflix, Los Gatos, CA, USA", "source_name": "Netflix, Los Gatos, CA, USA", "street_adddress": "121 Albright Way, Los Gatos, CA 95032, USA", "lat": "37.25710320", "lng": "-121.96417790", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://ifaamas.org/Proceedings/aamas2018/pdfs/p416.pdf", "https://pure.tudelft.nl/portal/files/44976871/De_Nijs_et_al._2018_Capacity_aware_Sequential_Recommendations.pdf"], "doi": ["http://dl.acm.org/citation.cfm?id=3237448"]}, {"id": "24301df85a669c86ae58962b5645b04a66c63cb1", "title": "A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08023.pdf"], "doi": []}, {"id": "28b725d03845312c619e79932f3edbb47356e252", "title": "Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2971471"]}, {"id": "55077b3293fe5f699d09df0675c2318109b4b90d", "title": "Pooling Objects for Recognizing Scenes without Examples", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912007"]}, {"id": "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "title": "A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification.", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.cs.cmu.edu/~yunwang/papers/interspeech17.pdf", "http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1469.PDF"], "doi": ["http://doi.org/10.21437/Interspeech.2017-1469", "http://www.isca-speech.org/archive/Interspeech_2017/abstracts/1469.html"]}, {"id": "0a100cb8a1accb69905374ef35c13f36c073873e", "title": "Multimodal Analysis of User-Generated Multimedia Content", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-61807-4"]}, {"id": "142b46642dd46566f7be8c6263dfc6bf13a8b0dd", "title": "S2L: Single-Streamline For Complex Video Event Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551529", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551529", "http://doi.org/10.1109/ICMEW.2018.8551529"]}, {"id": "aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912", "title": "ORCHARD: Visual object recognition accelerator based on approximate in-memory processing", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/iccad17_orchard.pdf", "http://nvmw.ucsd.edu/nvmw18-program/unzip/current/nvmw2018-final8.pdf", "http://seelab.ucsd.edu/papers/ykim_2017_orchard.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8203756", "http://dl.acm.org/citation.cfm?id=3199704", "http://doi.org/10.1109/ICCAD.2017.8203756"]}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c", "title": "VizWiz Grand Challenge: Answering Visual Questions from Blind People", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08218.pdf"], "doi": []}, {"id": "0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6", "title": "Contextual Enrichment of Remote-Sensed Events with Social Media Streams", "addresses": [{"name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984063"]}, {"id": "9db77739a1b84c7a07c13a446684c9b63966f39e", "title": "The Lifecycle of Geotagged Multimedia Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2986911"]}, {"id": "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/03/NDSS2018_06B-1_Olteanu_Slides.pdf", "http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/07/ndss2018_06B-1_Olteanu_paper.pdf"], "doi": ["http://doi.org/10.14722/ndss.2018.23002", "https://serval.unil.ch/resource/serval:BIB_0D8D70E207E3.P001/REF"]}, {"id": "a38b4eaa536dd2b709eb725bf2a2192b162cbf06", "title": "Multi-modal Deep Learning Approach for Flood Detection", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a38b/4eaa536dd2b709eb725bf2a2192b162cbf06.pdf"], "doi": []}, {"id": "a1a58f2f195d8da57a84176c1fd53cea34371fed", "title": "Dimensionality Reduction for Image Features using Deep Learning and Autoencoders", "addresses": [{"name": "Klagenfurt University", "source_name": "Klagenfurt University, Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095737"]}, {"id": "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "title": "Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval", "addresses": [{"name": "Delft University of Technology, Netherlands", "source_name": "Delft Univ. of Technol., Netherlands", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e11/24345969a536fd5fa78db05b6149ea262a69.pdf"], "doi": []}, {"id": "76908c01966d1656a13de779955aded5fc1fed32", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456", "http://doi.org/10.1109/TIP.2018.2882155", "https://www.ncbi.nlm.nih.gov/pubmed/30452370"]}, {"id": "d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b", "title": "Beyond Concept Detection: The Potential of User Intent for Image Retrieval", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132521"]}, {"id": "ea7d9a72e5f804567da3e9d937bd7d240c546d06", "title": "Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency", "addresses": [{"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10115-017-1056-y"]}, {"id": "1957bf2457f4dbac1bc226a16a751ad8f00705d5", "title": "Robust bundle adjustment for large-scale structure from motion", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4581-5"]}, {"id": "06b94b47b70c9bfcddbe277a61a9a802acd20096", "title": "Future-Supervised Retrieval of Unseen Queries for Live Video", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123437"]}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "788b16995a689a918b7994977350e7db13ef96a4", "title": "Efficient Conversion of Deep Features to Compact Binary Codes Using Fourier Decomposition for Multimedia Big Data", "addresses": [{"name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "source_name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}, {"name": "Sejong University", "source_name": "Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea", "street_adddress": "209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea", "lat": "37.55025960", "lng": "127.07313900", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276643", "http://doi.org/10.1109/TII.2018.2800163"]}, {"id": "f257e3ac714cd8fcd3b22d7d27ac6fab2db34097", "title": "Multimedia Big Data Analytics: A Survey", "addresses": [{"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3150226"]}, {"id": "830a532ca99fb9d8527dcfbac2d4003b4dd98eb7", "title": "Scheduling Large-scale Distributed Training via Reinforcement Learning", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622264", "http://doi.org/10.1109/BigData.2018.8622264"]}, {"id": "20c016843430bb65c60ea4011a9e8bbb5785c490", "title": "Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset", "addresses": [{"name": "DFKI GmbH, Kaiserslautern, Germany", "source_name": "DFKI GmbH, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983560"]}, {"id": "7a0e9de471b25252afbf8cec566d4962538c5b78", "title": "Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation", "addresses": [{"name": "TU Delft & Radboud University Nijmegen", "source_name": "TU Delft & Radboud University Nijmegen", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Klagenfurt", "source_name": "University of Klagenfurt", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910619"]}, {"id": "b3e50a64709a62628105546e392cf796f95ea0fb", "title": "Clustering via Boundary Erosion", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04312.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "0e2e4b2deee91884d6da21c06e609b1f61270f70", "title": "How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science", "addresses": [{"name": "University of Pisa", "source_name": "University of Pisa", "street_adddress": "Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia", "lat": "43.72012990", "lng": "10.40789760", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0e2e/4b2deee91884d6da21c06e609b1f61270f70.pdf"], "doi": []}, {"id": "61b17f719bab899dd50bcc3be9d55673255fe102", "title": "Detecting Sarcasm in Multimodal Social Platforms", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02289.pdf"], "doi": []}, {"id": "7fd358a0eba775fe9d87f165cb2074fa8fa762e0", "title": "Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09145.pdf"], "doi": []}, {"id": "d3b3c82d73fac683aa23533d26240ec92d14352b", "title": "Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01373.pdf"], "doi": []}, {"id": "48a442646483d9777a2c5864a8e5f6d1a4851396", "title": "Kickstarting the Commons: The YFCC100M and the YLI Corpora", "addresses": [{"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2816986"]}, {"id": "788da403d220e2cc08dca9cffbe1f84b3c68469a", "title": "Causally Regularized Learning with Agnostic Data Selection Bias.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06656.pdf"], "doi": []}, {"id": "9064e178864208cb0e89fecdc8d26b846ccc8e55", "title": "Localizing Moments in Video with Temporal Language", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01337.pdf"], "doi": []}, {"id": "75b32783a098b3173d44f27f7b8329b6d48f369e", "title": "Scaling of foreign attractiveness for countries and states", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08132.pdf"], "doi": []}, {"id": "6f97f9959015cb0e93fba000ae468d22b4c5078a", "title": "A Discriminative and Compact Audio Representation for Event Detection", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970377"]}, {"id": "4ae7fb256d3251019f570776dfe34e8d234c6fdf", "title": "Exploiting social media information toward a context-aware recommendation system", "addresses": [{"name": "Ionian University", "source_name": "Ionian University", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u039b\u03b5\u03c9\u03c6. \u0399\u03c0\u03c0\u03bf\u03ba\u03c1\u03ac\u03c4\u03bf\u03c5\u03c2, \u03ba. \u03a1\u03af\u03bf\u03c5 (\u0391\u03b3\u03af\u03bf\u03c5 \u0393\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u03a1\u03af\u03bf\u03c5), \u03a0\u03ac\u03c4\u03c1\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b1\u03c4\u03c1\u03ad\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0391\u03c7\u03b1\u0390\u03b1\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0394\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2, \u03a0\u03b5\u03bb\u03bf\u03c0\u03cc\u03bd\u03bd\u03b7\u03c3\u03bf\u03c2, \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u0399\u03cc\u03bd\u03b9\u03bf, 26443, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "38.28994820", "lng": "21.78864690", "type": "edu", "country": "Greece"}, {"name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "source_name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "street_adddress": "\u039d\u03b5\u03b1\u03c0\u03cc\u03bb\u03b5\u03c9\u03c2 27 \u03ba\u03b1\u03b9, Patriarchou Grigoriou E, Ag. Paraskevi 153 41, Greece", "lat": "37.99998030", "lng": "23.81974790", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13278-017-0459-9"]}, {"id": "58d96262dff8f28e59e66491ffb7f36f28af07a3", "title": "Quartet-net Learning for Visual Instance Retrieval", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967262"]}, {"id": "01591390da1356b871aefe11d4bb92c1df5ba082", "title": "Online Appendix to : Content-based Image Retrieval", "addresses": [{"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0159/1390da1356b871aefe11d4bb92c1df5ba082.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "9d6993f60539d30ee325138b3465aa020fa3bcb4", "title": "Analysis and Optimization of fastText Linear Text Classifier", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05531.pdf"], "doi": []}, {"id": "1415c27bf7ddf4137d45f446cae6edfc9740919e", "title": "Few-Shot Hash Learning for Image Retrieval", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Wang_Few-Shot_Hash_Learning_ICCV_2017_paper.pdf", "https://ri.cmu.edu/wp-content/uploads/2017/12/45.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265357", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.148", "http://doi.org/10.1109/ICCVW.2017.148"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "dbf360fa9997b2918a8076f1d0df9a1fffa94ed7", "title": "Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dbf3/60fa9997b2918a8076f1d0df9a1fffa94ed7.pdf"], "doi": []}, {"id": "c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42", "title": "Graph-Based Early-Fusion for Flood Detection", "addresses": [{"name": "University of Campinas (Unicamp)", "source_name": "RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}, {"name": "Universit\u00e9 de Lorraine, Vandoeuvre-l\u00e8s-Nancy, France", "source_name": "Universit\u00e9 de Lorraine-LORIA UMR 7503, Vandoeuvre-l\u00e8s-Nancy, France", "street_adddress": "Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vand\u0153uvre-l\u00e8s-Nancy, France", "lat": "48.66579550", "lng": "6.15842070", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451011", "http://doi.org/10.1109/ICIP.2018.8451011"]}, {"id": "8a5be2b370c5a1df06e1063b306b2874706c24dc", "title": "The Konstanz natural video database (KoNViD-1k)", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "Hungarian Academy of Sciences", "source_name": "MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, \nBudapest, Hungary", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "Hungary"}], "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/814067/1/konstanz-natural-video.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/39103/Hosu_2-e7mh9z8d8u09.pdf?isAllowed=y&sequence=1", "https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaJe17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965673", "http://doi.org/10.1109/QoMEX.2017.7965673"]}, {"id": "bd41ce7362259dea758d84c219eeb0dd2f40337c", "title": "Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute, Berkeley", "source_name": "International Computer Science Institute, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980533"]}, {"id": "db989600b1857cea9abd14dba9c10808030c7d33", "title": "Delving Deep into Personal Photo and Video Search", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, New York City, NY, USA", "source_name": "Yahoo Research, New York City, NY, USA", "street_adddress": "New York, NY, USA", "lat": "40.71277530", "lng": "-74.00597280", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3018736"]}, {"id": "7ecbc1b186b4b2f6f6ea786572252984f1deb667", "title": "Mining exoticism from visual content with fusion-based deep neural networks", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-00165-4"]}, {"id": "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "title": "Two-class 3D-CNN classifiers combination for video copy detection", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Shandong Management University", "source_name": "Shandong Management University, Jinan, China", "street_adddress": "Yuansheng Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250100", "lat": "36.67283000", "lng": "117.06216700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6047-9"]}, {"id": "799b9904f37a515a9614f6a92ff673c4c6e97a7f", "title": "Survey on Visual-Based Localization", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/799b/9904f37a515a9614f6a92ff673c4c6e97a7f.pdf"], "doi": []}, {"id": "a50d2245d46ce0595ddbf25ae9acb8513aa70067", "title": "Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acd2/1d21ca466efb16b43ac9d647e99220fd6ddd.pdf"], "doi": []}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "0f885fd46064d271d4404cf9bb3d758e1a6f8d55", "title": "Exploring the Limits of Weakly Supervised Pretraining", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00932.pdf"], "doi": []}, {"id": "1fefb2f8dd1efcdb57d5c2966d81f9ab22c1c58d", "title": "vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1fef/b2f8dd1efcdb57d5c2966d81f9ab22c1c58d.pdf"], "doi": []}, {"id": "a5628b377efcd69043b158388203502e41266852", "title": "Hybrid Indexes for Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126763"]}, {"id": "41e7df687f07102969b3bc0c89c8197942da326d", "title": "Developing and applying a benchmark for evaluating image stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://gigl.scs.carleton.ca/sites/default/files/david_mould/cag.pdf", "http://orca-mwe.cf.ac.uk/102362/1/cag.pdf", "http://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/benchmark-CAG-postprint.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2017.05.025"]}, {"id": "cbd0f4006df1b2661f2c3a711d95727d61756afe", "title": "Multimodal Classification of Moderated Online Pro-Eating Disorder Content", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025985"]}, {"id": "632d9b67c474aab18dc960d8a251b2030ad59bc1", "title": "Binarized Mode Seeking for Scalable Visual Pattern Discovery", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Binarized_Mode_Seeking_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100205", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.722", "http://doi.org/10.1109/CVPR.2017.722"]}, {"id": "8ee02b8d375b21fe37b837e1a9288624f47c38d3", "title": "The Lifecycle of Geotagged Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ee0/2b8d375b21fe37b837e1a9288624f47c38d3.pdf"], "doi": []}, {"id": "a019131087eaca6d33f43d9b38d9bd177f89855c", "title": "User-Generated Content in Social Media", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Tampere", "source_name": "University of Tampere", "street_adddress": "Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33100, Suomi", "lat": "61.49412325", "lng": "23.77920678", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a019/131087eaca6d33f43d9b38d9bd177f89855c.pdf"], "doi": []}, {"id": "fc8fb68a7e3b79c37108588671c0e1abf374f501", "title": "Semantic Pooling for Complex Event Analysis in Untrimmed Videos", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://cs.uwaterloo.ca/~y328yu/mypapers/pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565615", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2608901", "http://doi.org/10.1109/TPAMI.2016.2608901", "https://www.ncbi.nlm.nih.gov/pubmed/28113653"]}, {"id": "b44999bb2e23cf8ca0a413a2d006cc9800794650", "title": "More Than An Answer: Neural Pivot Network for Visual Qestion Answering", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123335"]}, {"id": "28453ccaaa89e46383e6164907d3e2a8f38549c6", "title": "Large Scale Indexing and Searching Deep Convolutional Neural Network Features", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-43946-4_14"]}, {"id": "2ccb12140ffc642010b448e7b6f77b3f57cea497", "title": "Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079665"]}, {"id": "247a14b584d8d83a9191149011de2908a8da605b", "title": "State of the Geotags: Motivations and Recent Changes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/247a/14b584d8d83a9191149011de2908a8da605b.pdf"], "doi": []}, {"id": "c92d6fdcb16eb547b3794a2d60cf04328fdd2344", "title": "Event Detection and Retrieval on Social Media", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03675.pdf"], "doi": []}, {"id": "edfc222d66267709b66440c17e66fb08c69f2ba6", "title": "Global multi-layer network of human mobility", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Salzburg", "source_name": "University of Salzburg", "street_adddress": "Universit\u00e4t Salzburg - Unipark, 1, Erzabt-Klotz-Stra\u00dfe, Nonntal, Salzburg, 5020, \u00d6sterreich", "lat": "47.79475945", "lng": "13.05417525", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.05532.pdf"], "doi": []}, {"id": "df9a08016fa553a169d893ce2d3fca375bab4781", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df9a/08016fa553a169d893ce2d3fca375bab4781.pdf"], "doi": []}, {"id": "890291bc2367e802fca871d67880bdc4a05374cf", "title": "Modeling Characteristics of Location from User Photos", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3039683"]}, {"id": "db545026d0b42c2dcf935a1505a68edb36381194", "title": "Development of an Encrypting System for an Image Viewer based on Hill Cipher Algorithm", "addresses": [{"name": "Covenant University", "source_name": "Covenant University, Ota Ogun State, Nigeria", "street_adddress": "KM 10 Idiroko Rd, Ota, Nigeria", "lat": "6.67264470", "lng": "3.16121300", "type": "edu", "country": "Nigeria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db54/5026d0b42c2dcf935a1505a68edb36381194.pdf"], "doi": []}, {"id": "cb8a1b8d87a3fef15635eb4a32173f9c6f966055", "title": "A Survey on Deep Learning: Algorithms, Techniques, and Applications", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234150"]}, {"id": "06d10f906ac9023b5566c70a2600384b8c1b24c3", "title": "Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00536.pdf"], "doi": []}, {"id": "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "title": "Learning Points and Routes to Recommend Trajectories", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.07051.pdf"], "doi": []}, {"id": "f765c628c5483d7ad974a8605fdd3c7b4010ded2", "title": "Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7776845", "http://doi.org/10.1109/JBHI.2016.2637004", "https://www.ncbi.nlm.nih.gov/pubmed/28114049", "https://www.wikidata.org/entity/Q39004355"]}, {"id": "b83fa4fe617db200defe21a07f81aa8060587217", "title": "Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06052.pdf"], "doi": []}, {"id": "fbdfed192ea0e6508d931b3d00335d99e976c0d7", "title": "From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02899.pdf"], "doi": []}, {"id": "bf7f554ec8f5f44e9c942237effd282a16efecf6", "title": "SALIC: Social Active Learning for Image Classification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://epubs.surrey.ac.uk/812487/1/double.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7466862", "http://doi.org/10.1109/TMM.2016.2565440"]}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "37380f8247e7ddd77f0105914d97eef849b9dc47", "title": "CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622090", "http://doi.org/10.1109/BigData.2018.8622090"]}, {"id": "9fb32f4f332b6acb8eafa418b45650e54796f0a7", "title": "A Data-Centric Approach for Image Scene Localization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://infolab.usc.edu/DocsDemos/IEEE_BigData_ImageSceneLocalization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621912", "http://doi.org/10.1109/BigData.2018.8621912"]}, {"id": "0a55824aa80e5a06af5bf8ba089b19db245471f1", "title": "Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0a55/824aa80e5a06af5bf8ba089b19db245471f1.pdf"], "doi": []}, {"id": "e346aef68ae6df61b83fdeaa71ded9ba0282325e", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06004.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "title": "LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06480.pdf"], "doi": []}, {"id": "2874e3b4bde2203129773f1a7baf78f0710c490e", "title": "Selective Deep Convolutional Features for Image Retrieval", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00809.pdf"], "doi": []}, {"id": "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "title": "A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448670", "http://doi.org/10.1109/IVMSPW.2018.8448670"]}, {"id": "90eb833df9614da495712f4c1fbb65f8e7d9b356", "title": "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c12d/09f36feaa03a533d87eb3ceef5bc76989f05.pdf"], "doi": []}, {"id": "4d1aaf1027231979bb0cad6dc3e31e01925970cc", "title": "The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10569.pdf"], "doi": []}, {"id": "65429789a95b3026457de76d46b5ec94158ce10e", "title": "PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01956.pdf"], "doi": []}, {"id": "8a3d969732951e4d22c608d465b091b9272f03bb", "title": "Multimedia COMMONS - Community-Organized Multimodal Mining: Opportunities for Novel Solutions (MMCommons Workshop 2015)", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806409"]}, {"id": "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "title": "Addressing the Dark Side of Vision Research: Storage", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3f/b3ef83a5d5a905250a1ec986e720ae422ed4.pdf"], "doi": []}, {"id": "f54ce6b62e9889832d891f2aada677171d4219fe", "title": "Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting", "addresses": [{"name": "Motilal Nehru National Institute of Technology, Allahabad, India", "source_name": "Motilal Nehru National Institute of Technology, Allahabad, India", "street_adddress": "Barrister Mullah Colony, MNNIT Allahabad Campus, Teliarganj, Prayagraj, Uttar Pradesh 211004, India", "lat": "25.49201020", "lng": "81.86391630", "type": "edu", "country": "India"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983555"]}, {"id": "10e78afd7ea5f70e192b08be8fe1a978ad89394b", "title": "Video Stream Retrieval of Unseen Queries using Semantic Memory", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06753.pdf"], "doi": []}, {"id": "0bb078880758c023007950f1d7eea99e666e4f06", "title": "Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0bb0/78880758c023007950f1d7eea99e666e4f06.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "20a1350815c4588a2380414bc78a7e215a2e3955", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "title": "The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d3da/e5c4f47a0457ebe2297d7e70432521c82cc6.pdf"], "doi": []}, {"id": "966a09ac570b043aebb7bd92fa116e8f40f50642", "title": "Cross-Modal Style Transfer", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451734", "http://doi.org/10.1109/ICIP.2018.8451734"]}, {"id": "4f90acbfe479bad10b1c733dc7e6a174fd4b2870", "title": "Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08321.pdf"], "doi": []}, {"id": "2bf37dd0ebaac003e67d11cc869e5e93b13dbd00", "title": "Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FXPal, Palo Alto, CA, USA", "source_name": "FXPal, Palo Alto, CA, USA", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806281"]}, {"id": "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "title": "Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/774a/e9c6b2a83c6891b5aeeb169cfd462d45f715.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "30a77605282133e83ee5a35cc5bd9fe46534836c", "title": "Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File", "addresses": [{"name": "ISTI-CNR, Via G.Moruzzi, Italy", "source_name": "ISTI-CNR, Via G.Moruzzi, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095740"]}, {"id": "7f2a7d076bd2fad956dc5103191e392fb11adc49", "title": "Rapid, detail-preserving image downscaling", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980239"]}, {"id": "35d181da0b939bdf3bdf579969e5fe69e277e03e", "title": "Learning Features by Watching Objects Move", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06370.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "d50e47c59655d0274d60386c6627e2571242a121", "title": "Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559710"]}, {"id": "983f695c0ae44632182184f81579872f0353c6bc", "title": "V3C - A Research Video Collection", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.04401.pdf"], "doi": []}, {"id": "612da08d1dd16ac0a3b61151c6cf40b1e95b50c3", "title": "Hybrid Indexes to Expedite Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05200.pdf"], "doi": []}, {"id": "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "title": "Active Learning from Noisy Tagged Images", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/3c8c9adef3b6a36c31c2682f2179e3013ae1.pdf"], "doi": []}, {"id": "968ab65077c4be1c1071120052b2e4b4f3d3c59a", "title": "\"Seeing is believing: the quest for multimodal knowledge\" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903517"]}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "1f2b4b2670fb2ed83db817c95d52ca0e042d5315", "title": "Stepping stone graph for public movement analysis", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274913"]}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "57582fd607c8aad7245b497a6a68bc3a1901ef08", "title": "Neural Personalized Ranking for Image Recommendation", "addresses": [{"name": "Texas A&M Univerisity, College Station, TX, USA", "source_name": "Texas A&M Univerisity, College Station, TX, USA", "street_adddress": "400 Bizzell St, College Station, TX 77843, USA", "lat": "30.61853100", "lng": "-96.33649900", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159728"]}, {"id": "5ad42766d7ba40ceccd8047f6810b9cf6ac79748", "title": "Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3204941"]}, {"id": "e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49", "title": "Interactive Multimodal Learning on 100 Million Images", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912062"]}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "de09cb5eeff5e7a752567c009f7621dfa6ebb2da", "title": "Generating Affective Captions using Concept And Syntax Transition Networks", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984070"]}, {"id": "da30d5e0cf214c1d86f629081493fa55e5a27efc", "title": "Expertise screening in crowdsourcing image quality", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoLiSa18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463427", "http://doi.org/10.1109/QoMEX.2018.8463427"]}, {"id": "7d0ff6d0621b3846e8543bc162fd0215d8adfaf0", "title": "Efficient Large-Scale Similarity Search Using Matrix Factorization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780597", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.228", "http://doi.org/10.1109/CVPR.2016.228", "https://hal.inria.fr/hal-01238242/document"]}, {"id": "dcc414adda5432011bfc53359075dd341b924910", "title": "LF-Net: Learning Local Features from Images", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}, {"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09662.pdf"], "doi": []}, {"id": "d89b7eb82a663187f63e7d69dca11f204c74fcb1", "title": "Nonlinear Structural Hashing for Scalable Video Search", "addresses": [{"name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology", "source_name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "gov", "country": "China"}], "year": "2018", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Nonlinear%20structural%20hashing%20for%20scalable%20video%20search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855682", "http://doi.org/10.1109/TCSVT.2017.2669095"]}, {"id": "0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11", "title": "Windsurf: the best way to SURF", "addresses": [{"name": "Universit\u00e0 di Bologna", "source_name": "C.d.L. Scienze dell'Informazione - Universit\u00e0 di Bologna, via Sacchi 3, 47023 Cesena, ITALY", "street_adddress": "Via Scipione Sacchi, 3, 47521 Cesena FC, Italy", "lat": "44.13977980", "lng": "12.24318990", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0567-4"]}, {"id": "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "title": "Structured Recommendation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09067.pdf"], "doi": []}, {"id": "34f5acebcb39d844d3bef5cf4a840fb505bda5e1", "title": "In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100M", "addresses": [{"name": "CERTH, Thermi-Thessaloniki, Greece", "source_name": "CERTH, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983558"]}, {"id": "353a058f49a8c60b41e9cd28962f6060cf4f6646", "title": "The research of multimedia cloud computing platform data dynamic task scheduling optimization method in multi core environment", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "College of Humanities & Information of Changchun University of Technology", "source_name": "College of Humanities & Information of Changchun University of Technology, Changchun, China", "street_adddress": "1016 Fuzhi Rd, Nanguan Qu, Changchun Shi, Jilin Sheng, China, 130122", "lat": "43.78308800", "lng": "125.42858700", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3667-9"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "6b6cd29c63d3ada53c7a7664248c6db8387da88a", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275", "http://doi.org/10.1109/CBMI.2018.8516275"]}, {"id": "aef293fa9617a8924389b95f313540c1329cb2b1", "title": "LocXplore: a system for profiling urban regions", "addresses": [{"name": "Freie Universit\u00e4t Berlin, Germany", "source_name": "Freie Universit\u00e4t Berlin, Germany", "street_adddress": "Kaiserswerther Str. 16-18, 14195 Berlin, Germany", "lat": "52.45252640", "lng": "13.28967870", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274924"]}, {"id": "2e57eef707fa9c89d2a7ac68f55c26dea850c5ea", "title": "Mixture of Convolutional Neural Networks for Image Classification", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e57/eef707fa9c89d2a7ac68f55c26dea850c5ea.pdf"], "doi": []}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "004aa2cb4b68850ee006af8a6807b3c1a6a198f0", "title": "Deep Classifiers from Image Tags in the Wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814821"]}, {"id": "256f09fe3163564958381d7f3727b5c27c19144c", "title": "Image2Emoji: Zero-shot Emoji Prediction for Visual Media", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806335"]}, {"id": "26861e41e5b44774a2801e1cd76fd56126bbe257", "title": "Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2686/1e41e5b44774a2801e1cd76fd56126bbe257.pdf"], "doi": []}, {"id": "2577211aeaaa1f2245ddc379564813bee3d46c06", "title": "Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.06974.pdf"], "doi": []}, {"id": "47de7339f70075f6ac1a77d3dba23dbe3e435b73", "title": "EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809932"]}, {"id": "fd0a462934359b52051ae95b970c9e01f4f32539", "title": "Fast and Accurate Content-based Semantic Search in 100M Internet Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806237"]}, {"id": "684f87f29176db22743b327edd070ce366a8cf76", "title": "Unsupervised Latent Aspect Discovery for Diverse Event Summarization", "addresses": [{"name": "National Taiwan Unversity, Taipei, Taiwan Roc", "source_name": "National Taiwan Unversity, Taipei, Taiwan Roc", "street_adddress": "No. 1, Section 4, Roosevelt Rd, Da\u2019an District, Taipei City, Taiwan 10617", "lat": "25.01734050", "lng": "121.53975180", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809935"]}, {"id": "c10c5d3fd3575570ec55ddbe838fb2a52cf97bc9", "title": "TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "f0b0dc397cf31df4fda45c0187190c42de5adf40", "title": "Exploiting Spatial Relationship between Scenes for Hierarchical Video Geotagging", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749354"]}, {"id": "14e55a8090d27b3a8c807be68463bf87a8203ab1", "title": "The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2661125"]}, {"id": "3c4c15a6597223887e0a5384237fd2a89b176e4a", "title": "Optimized Product Quantization", "addresses": [{"name": "Microsoft Bing, Sunnyvale", "source_name": "Microsoft Bing, Sunnyvale", "street_adddress": "755 N Mathilda Ave, Sunnyvale, CA 94085, USA", "lat": "37.39412440", "lng": "-122.03018430", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://kaiminghe.com/publications/pami13opq.pdf", "http://research.microsoft.com/en-us/um/people/jiansun/papers/tr13_opq.pdf", "http://research.microsoft.com/pubs/193148/opq_tr.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/11/pami13opq.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/opq_tr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678503", "http://doi.org/10.1109/TPAMI.2013.240", "https://www.ncbi.nlm.nih.gov/pubmed/26353197", "https://www.wikidata.org/entity/Q50855436"]}, {"id": "7113bf11db5fd3b14c9e6d3388a58a5930f0cac1", "title": "A benchmark image set for evaluating stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7113/bf11db5fd3b14c9e6d3388a58a5930f0cac1.pdf"], "doi": []}, {"id": "723b87aca073b7b82970a4580f64ba8c6c64691b", "title": "Improving Personalized Trip Recommendation by Avoiding Crowds", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983749"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "9bbc952adb3e3c6091d45d800e806d3373a52bac", "title": "Learning Visual Classifiers using Human-centric Annotations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bbc/952adb3e3c6091d45d800e806d3373a52bac.pdf"], "doi": []}, {"id": "ea0d399d32f6d3fd4bcf95bc964a9fd62629ff78", "title": "Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079003"]}, {"id": "3ad6bd5c34b0866019b54f5976d644326069cb3d", "title": "Towards next generation touring: personalized group tours", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://people.eng.unimelb.edu.au/limk2/2016-ICAPS-groupTourRec.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/12803"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "53b8766a86782535ba9d6b4c18f7cefce86f745c", "title": "Insights into Audio-Based Multimedia Event Classification with Neural Networks", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814816"]}, {"id": "a902ae7016408a63c3a2539d012e07070c29f9d6", "title": "Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578729"]}, {"id": "295e9b2ddb3c9c7d029a99d5b877bf3824949f1b", "title": "Reconstructing the world* in six days", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://frahm.web.unc.edu/files/2014/08/cvpr2015-heinly.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-abstract.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-poster.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_115_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298949", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298949", "http://doi.org/10.1109/CVPR.2015.7298949"]}, {"id": "7f6eb3011704c580e53c9d6e020a3fc63069a5d7", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "cebd79bc878d550f107fddfae0e283e293938495", "title": "The Geography and Importance of Localness in Geotagged Social Media", "addresses": [{"name": "Hasselt University", "source_name": "Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium", "street_adddress": "E, Willem de Croylaan 56, 3001 Leuven, Belgium", "lat": "50.85700400", "lng": "4.67632950", "type": "edu", "country": "Belgium"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858122"]}, {"id": "49455079e54d7d06fd2d5617507947a31d4f9198", "title": "LBANN: livermore big artificial neural network HPC toolkit", "addresses": [{"name": "Lawrence Livermore National Laboratory, Livermore, CA", "source_name": "Lawrence Livermore National Laboratory, Livermore, CA", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2834897"]}, {"id": "2e64ba3370cc5be4c14b16b4372ed2f8dae67390", "title": "SentiCap: Generating Image Descriptions with Sentiments", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.01431.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "6e6a049944d74e5c44ffde79c0bfbb1385eee807", "title": "Incremental Learning for Fine-Grained Image Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912069"]}, {"id": "c8b4beb3dd4d6594fcad58de0394c731d112780f", "title": "Leveraging Multimodal Semantics and Sentiments Information in Event Understanding and Summarization", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8b4/beb3dd4d6594fcad58de0394c731d112780f.pdf"], "doi": []}, {"id": "cccc169185d5a88a9fcdc4ab1477a8500cc9861b", "title": "Leveraging Expert Feature Knowledge for Predicting Image Aesthetics", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}, {"name": "Kodak Alaris, Inc., Rochester, NY, USA", "source_name": "Kodak Alaris, Inc., Rochester, NY, USA", "street_adddress": "336 Initiative Dr, Rochester, NY 14624, USA", "lat": "43.14949140", "lng": "-77.73558320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374927", "http://doi.org/10.1109/TIP.2018.2845100", "https://www.ncbi.nlm.nih.gov/pubmed/29994210"]}, {"id": "749bdd328e8c98cc6e82add044663e09ff2f1a17", "title": "Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123336"]}, {"id": "1bec14f3722ac91c83d6c0cdde4aeaa66ca8f42d", "title": "Fully Dynamic k-Center Clustering", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/436d/68e5f40a04ddf6a279d64cef3b824466990a.pdf"], "doi": []}, {"id": "eb28671c43e6f3bfeee3b5bec8023887d8c07bc7", "title": "Towards Personalized Image Captioning via Multimodal Memory Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8334621"]}, {"id": "0de3a52c019c114dbd97663fdf4e72a2dec07808", "title": "Network of Experts for Large-Scale Image Categorization", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06119.pdf"], "doi": []}, {"id": "b6397f818f67faad6a36de8480212f6e7e82e71c", "title": "Tag Prediction at Flickr: A View from the Darkroom", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126745"]}, {"id": "88cc230c6755dc88e110032a5ef96b6251c03917", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fbd7/d591e6eecb9a947e377d5b1a865a9f86a11f.pdf"], "doi": []}, {"id": "17c4a18911efb909deb228cb3fbfb6610c82f751", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275"]}, {"id": "b4b9ec699c873cfbb16647966b230b522bc0113e", "title": "DTRP: A Flexible Deep Framework for Travel Route Planning", "addresses": [{"name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "source_name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "street_adddress": "Guo Jia Ji Suan Ji Wang Luo Ying Ji Ji Shu Chu Li Xie Tiao Zhong Xin, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.97436960", "lng": "116.38734270", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68783-4_25"]}, {"id": "80d109b71001d5184b34d48835a9bc00afdfa9ca", "title": "An efficient multi-feature SVM solver for complex event detection", "addresses": [{"name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5166-z"]}, {"id": "cfeda236987b04250a218b688e32b6b35c617ba4", "title": "Multi-scale Hierarchical Residual Network for Dense Captioning", "addresses": [{"name": "Zhejiang Gongshang University", "source_name": "Zhejiang Gongshang University, Hangzhou, China", "street_adddress": "18 Xuezheng St, Jianggan Qu, Hangzhou Shi, Zhejiang Sheng, China, 310018", "lat": "30.30875200", "lng": "120.38852900", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/cfed/a236987b04250a218b688e32b6b35c617ba4.pdf"], "doi": []}, {"id": "996dc200dd686c39e235aec78f7c6acd903a970f", "title": "Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections", "addresses": [{"name": "CEA LIST, Gif-sur-Yvette, France", "source_name": "CEA LIST, Gif-sur-Yvette, France", "street_adddress": "B\u00e2timent 565, 91191 Gif-sur-Yvette, France", "lat": "48.72751930", "lng": "2.15684880", "type": "edu", "country": "France"}, {"name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "source_name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814819"]}, {"id": "2ede3ba3149bdb180387669acd7cc47aea2bfaba", "title": "Computer Vision Based and FPRank Based Tag Recommendation for Social Popularity Enhancement", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180311"]}, {"id": "33737f966cca541d5dbfb72906da2794c692b65b", "title": "Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w28/papers/Mensink_Spotting_Audio-Visual_Inconsistencies_CVPR_2017_paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/bolles17cvprwmf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014972", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.238", "http://doi.org/10.1109/CVPRW.2017.238"]}, {"id": "11d527d2f77df6200d8760d9d2163320e621bde1", "title": "Fashion Culture Database: Construction of Database for World-wide Fashion Analysis", "addresses": [{"name": "National Institute of Advanced Industrial Science and Technology", "source_name": "National Institute of Advanced Industrial Science and Technology", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581148"]}, {"id": "6816cd8f4fcfda892d8f993cc0ae4d9e10db4178", "title": "A Tag Recommendation System for Popularity Boosting", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127913"]}, {"id": "4daf898d78ed64c990b99ebf04f84380d7fedb84", "title": "Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079035"]}, {"id": "982ede05154c1afdcf6fc623ba45186a34f4b9f2", "title": "The Many Shades of Negativity", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7835107", "http://doi.org/10.1109/TMM.2017.2659221"]}, {"id": "062d67af7677db086ef35186dc936b4511f155d7", "title": "They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~epxing/papers/2016/Chang_Yu_Yang_Xing_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "https://opus.lib.uts.edu.au/bitstream/10453/58433/4/cvpr16a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780577", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.208", "http://doi.org/10.1109/CVPR.2016.208"]}, {"id": "d3008b4122e50a28f6cc1fa98ac6af28b42271ea", "title": "Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806218"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "85304f24f5a1800e66de20ad05e20c8c032b7d03", "title": "Understanding and Discovering Deliberate Self-harm Content in Social Media", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8530/4f24f5a1800e66de20ad05e20c8c032b7d03.pdf"], "doi": []}, {"id": "7f05df12dff3defee495507abd4870a0a30c3590", "title": "Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f05/df12dff3defee495507abd4870a0a30c3590.pdf"], "doi": []}, {"id": "2110dd412aa5a0ace530cd9aef1464e8682a71c1", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456"]}, {"id": "e9b97cff4bf7ca4029cbe6b3919f796c6668e1a1", "title": "VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974787", "http://doi.org/10.1109/TMM.2017.2722687"]}, {"id": "d6bd16cdefd96cdb22a88e290ea1db629b65fdf7", "title": "ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8508249"]}, {"id": "1e91f4615bcdce4604044395a1431bb1c9b78484", "title": "Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03476.pdf"], "doi": []}, {"id": "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "title": "CERTH/CEA LIST at MediaEval Placing Task 2015", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ea98/5e35b36f05156f82ac2025ad3fe8037be0cd.pdf"], "doi": []}, {"id": "e3137bb7d73b4f846ad00800b46cc4118d2e0a34", "title": "Multimodal Graph-based Event Detection and Summarization in Social Media Streams", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809933"]}, {"id": "29025c172b441818d3da51e977af11b82c59df91", "title": "Learning Sound Event Classifiers from Web Audio with Noisy Labels", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01189.pdf"], "doi": []}, {"id": "a4db1ee9ec8127a5c21a4c79261a1f298f651421", "title": "Instructional Videos for Unsupervised Harvesting and Learning of Action Examples", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654997"]}, {"id": "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "title": "Learning Geo-Temporal Image Features.", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "Washington University", "source_name": "Washington University", "street_adddress": "Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA", "lat": "38.64804450", "lng": "-90.30996670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0586.pdf", "http://cs.uky.edu/~ted/assets/pdfs/whenwhere.pdf"], "doi": []}]} \ No newline at end of file +{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "paper": {"key": "yfcc_100m", "name": "YFCC100M", "title": "YFCC100M: the new data in multimedia research", "year": "2016", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": [{"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "92fb2cb7f9a54360ea4442f902472aded5e88c74", "title": "Blackthorn: Large-Scale Interactive Multimodal Learning", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pure.itu.dk/portal/files/82406569/tmm_2017_blackthorn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048559", "http://doi.org/10.1109/TMM.2017.2755986"]}, {"id": "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "title": "Combining Low-Density Separators with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b139/8234454ee3c9bc5a20f6d2d00232cb79622c.pdf"], "doi": []}, {"id": "36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49", "title": "Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f1f4/5a961cd429d3257d98a9a7f803a2783f11a8.pdf"], "doi": []}, {"id": "1cb5547c3f5ff42746bf9c4e083795aed3c8c609", "title": "Capped Lp-Norm Graph Embedding for Photo Clustering", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967257"]}, {"id": "db63bf0ea02ad561d6b97c6cf000c3954e428787", "title": "Polyphonic Sound Event Detection with Weak Labeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/06fb/e175f8d34c6d8524e1a9357859bce230ae6a.pdf"], "doi": []}, {"id": "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "title": "Learning to Find Good Correspondences", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05971.pdf"], "doi": []}, {"id": "b0f513aa41b5aeb9384f7375fbbf2030be526a93", "title": "GeoPose3K: Mountain landscape dataset for camera pose estimation in outdoor environments", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cphoto.fit.vutbr.cz/geoPose3K/data/geoPose3K_submission.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.009"]}, {"id": "0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7", "title": "On Allocating Cache Resources to Content Providers", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984371"]}, {"id": "5ed63317cdef429f77499d9de0e58402ed1f687e", "title": "From Photo Streams to Evolving Situations", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Mahidol University", "source_name": "Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand", "street_adddress": "Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand", "lat": "13.79727770", "lng": "100.32632160", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05878.pdf"], "doi": []}, {"id": "866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583", "title": "DCAR: A Discriminative and Compact Audio Representation for Audio Processing", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Agricultural University of Hebei", "source_name": "College of Information Science and Technology, Agricultural University of Hebei, Baoding, China", "street_adddress": "Qimin Rd, Nan Shi Qu, Baoding Shi, Hebei Sheng, China, 071000", "lat": "38.85062000", "lng": "115.48315900", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/DCAR_07927482.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927482", "http://doi.org/10.1109/TMM.2017.2703939"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "8b6f94d27ee220d6528b735c39a2707810aa4646", "title": "YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983557"]}, {"id": "6ecb8f65ba1ede4877d75979b1540503e568303c", "title": "OmniArt: A Large-scale Artistic Benchmark", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3273022"]}, {"id": "25291c10213b6bec098e1611d145facfa5d2b398", "title": "Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2529/1c10213b6bec098e1611d145facfa5d2b398.pdf"], "doi": []}, {"id": "e4ca0b623d81a6cfa4ad852e9ef931980e44dccc", "title": "Identifying concavity laws of attractiveness character for composite regions: Application through geo-tagged media check-ins", "addresses": [{"name": "Amity University", "source_name": "Amity University", "street_adddress": "Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India", "lat": "26.85095965", "lng": "81.04950965", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229994"]}, {"id": "c452a759042233ce3658bc734bf48535660f77ca", "title": "CARTS: Constraint-based analytics from real-time system monitoring", "addresses": [{"name": "University of Ontario", "source_name": "Computer and Software Engineering, University of Ontario, Institute of Technology, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/0973.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122940", "http://doi.org/10.1109/SMC.2017.8122940"]}, {"id": "0f6090015ce5b19ff5b7f58ae849668bf04fa3cd", "title": "Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "University of Southampton IT Innovation Centre", "source_name": "University of Southampton IT Innovation Centre, Southampton, UK", "street_adddress": "University Rd, Southampton SO17 1BJ, UK", "lat": "50.93358470", "lng": "-1.39529590", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3202662"]}, {"id": "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "title": "KonIQ-10k: Towards an ecologically valid and large-scale IQA database", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08489.pdf"], "doi": []}, {"id": "49a45e5e296815de821a6bd03b2b5d3c0da2cdb7", "title": "Environment perception in racing simulators using Deep Neural Networks", "addresses": [{"name": "Transilvania University of Brasov", "source_name": "Transilvania University of Brasov, Romania 500024", "street_adddress": "Bulevardul Eroilor 29, Bra\u0219ov 500036, Romania", "lat": "45.64515460", "lng": "25.58911840", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975119"]}, {"id": "2e3c8c8a413a317295bd44d86d089ed70a0b0c29", "title": "Introducing Concept And Syntax Transition Networks for Image Captioning", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2930060"]}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "666300af8ffb8c903223f32f1fcc5c4674e2430b", "title": "Changing Fashion Cultures", "addresses": [{"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07920.pdf"], "doi": []}, {"id": "36631dcbb9452ea3d35b19b2de6ef709022531a6", "title": "TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "d0b936f643f7462068517e0a840e775d6bd4abfb", "title": "Improving Video Generation for Multi-functional Applications", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.11453.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9", "title": "PQk-means: Billion-scale Clustering for Product-quantized Codes", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03708.pdf"], "doi": []}, {"id": "23de28db3c90eadcd98554a68e0425cb6aac9844", "title": "Using Photos as Micro-Reports of Events", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912020"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "aa246dd3999021ec733a56c3d4b7b6772ba007f8", "title": "Beautiful...but at What Cost?: An Examination of Externalities in Geographic Vehicle Routing", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3090080"]}, {"id": "64a0323adf55db3d3de20cc2a8176961548379f4", "title": "Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags", "addresses": [{"name": "SUNY Binghamton, Binghamton, NY, USA", "source_name": "SUNY Binghamton, Binghamton, NY, USA", "street_adddress": "4400 Vestal Pkwy E, Binghamton, NY 13902, USA", "lat": "42.08935530", "lng": "-75.96970490", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206061"]}, {"id": "815dfb96d8ce15ca95c773b8f3dac08b355fa7bb", "title": "State-of-the-art in visual geo-localization", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cadik.posvete.cz/papers/brejcha-cadik17geolocalization_methods_survey.pdf"], "doi": ["http://doi.org/10.1007/s10044-017-0611-1"]}, {"id": "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "title": "Visual congruent ads for image search", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "source_name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "source_name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}, {"name": "Futurewei Technologies Inc., USA", "source_name": "Futurewei Technologies Inc., USA", "street_adddress": "5340 Legacy Dr, Plano, TX 75024, USA", "lat": "33.07233720", "lng": "-96.81029900", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://skamalas.com/docs/ICPR_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899849", "http://doi.org/10.1109/ICPR.2016.7899849"]}, {"id": "4ab023f9bac5c85b829be95c905b6d5dc51820c2", "title": "Discovering physics and design trends from visual temporal structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4ab0/23f9bac5c85b829be95c905b6d5dc51820c2.pdf"], "doi": []}, {"id": "52516cf440eaf57966bfef2a6cc800163bd85793", "title": "Rethinking Summarization and Storytelling for Modern Social Multimedia", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}, {"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "FX Palo Alto Laboratory", "source_name": "FX Palo Alto Laboratory", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5251/6cf440eaf57966bfef2a6cc800163bd85793.pdf"], "doi": []}, {"id": "4a29bc00d1bc944fffe510713e3e8f2206c33fd1", "title": "Self-supervised Segmentation by Grouping Optical-Flow", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4a29/bc00d1bc944fffe510713e3e8f2206c33fd1.pdf"], "doi": []}, {"id": "c82840923eeded245a8dab2dd102d8b0cf96758a", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "bc6830fd4ac9307ddd323c5f92627fd42ac02ff5", "title": "Video Description Generation using Audio and Visual Cues", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912043"]}, {"id": "cfef79c6ba4679e2c0ab902905701d39221b6f1f", "title": "A robust and imperceptible steganography technique for SD and HD videos", "addresses": [{"name": "Panjab University", "source_name": "UIET, Panjab University, Chandigarh, India", "street_adddress": "Chandigarh Rd, Sector 25, Chandigarh, 160036, India", "lat": "30.74876290", "lng": "76.75671910", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6093-3"]}, {"id": "7559688658fbfcfea6829ce48ff6583d1c3439f9", "title": "Capacity-aware Sequential Recommendations", "addresses": [{"name": "Adobe Systems, San Jose, CA, USA", "source_name": "Adobe Systems, San Jose, CA, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, United States", "lat": "37.33065560", "lng": "-121.89430410", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netflix, Los Gatos, CA, USA", "source_name": "Netflix, Los Gatos, CA, USA", "street_adddress": "121 Albright Way, Los Gatos, CA 95032, USA", "lat": "37.25710320", "lng": "-121.96417790", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://ifaamas.org/Proceedings/aamas2018/pdfs/p416.pdf", "https://pure.tudelft.nl/portal/files/44976871/De_Nijs_et_al._2018_Capacity_aware_Sequential_Recommendations.pdf"], "doi": ["http://dl.acm.org/citation.cfm?id=3237448"]}, {"id": "24301df85a669c86ae58962b5645b04a66c63cb1", "title": "A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08023.pdf"], "doi": []}, {"id": "28b725d03845312c619e79932f3edbb47356e252", "title": "Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2971471"]}, {"id": "55077b3293fe5f699d09df0675c2318109b4b90d", "title": "Pooling Objects for Recognizing Scenes without Examples", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912007"]}, {"id": "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "title": "A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification.", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.cs.cmu.edu/~yunwang/papers/interspeech17.pdf", "http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1469.PDF"], "doi": ["http://doi.org/10.21437/Interspeech.2017-1469", "http://www.isca-speech.org/archive/Interspeech_2017/abstracts/1469.html"]}, {"id": "0a100cb8a1accb69905374ef35c13f36c073873e", "title": "Multimodal Analysis of User-Generated Multimedia Content", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-61807-4"]}, {"id": "142b46642dd46566f7be8c6263dfc6bf13a8b0dd", "title": "S2L: Single-Streamline For Complex Video Event Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551529", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551529", "http://doi.org/10.1109/ICMEW.2018.8551529"]}, {"id": "aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912", "title": "ORCHARD: Visual object recognition accelerator based on approximate in-memory processing", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/iccad17_orchard.pdf", "http://nvmw.ucsd.edu/nvmw18-program/unzip/current/nvmw2018-final8.pdf", "http://seelab.ucsd.edu/papers/ykim_2017_orchard.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8203756", "http://dl.acm.org/citation.cfm?id=3199704", "http://doi.org/10.1109/ICCAD.2017.8203756"]}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c", "title": "VizWiz Grand Challenge: Answering Visual Questions from Blind People", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08218.pdf"], "doi": []}, {"id": "0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6", "title": "Contextual Enrichment of Remote-Sensed Events with Social Media Streams", "addresses": [{"name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984063"]}, {"id": "9db77739a1b84c7a07c13a446684c9b63966f39e", "title": "The Lifecycle of Geotagged Multimedia Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2986911"]}, {"id": "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/03/NDSS2018_06B-1_Olteanu_Slides.pdf", "http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/07/ndss2018_06B-1_Olteanu_paper.pdf"], "doi": ["http://doi.org/10.14722/ndss.2018.23002", "https://serval.unil.ch/resource/serval:BIB_0D8D70E207E3.P001/REF"]}, {"id": "a38b4eaa536dd2b709eb725bf2a2192b162cbf06", "title": "Multi-modal Deep Learning Approach for Flood Detection", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a38b/4eaa536dd2b709eb725bf2a2192b162cbf06.pdf"], "doi": []}, {"id": "a1a58f2f195d8da57a84176c1fd53cea34371fed", "title": "Dimensionality Reduction for Image Features using Deep Learning and Autoencoders", "addresses": [{"name": "Klagenfurt University", "source_name": "Klagenfurt University, Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095737"]}, {"id": "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "title": "Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval", "addresses": [{"name": "Delft University of Technology, Netherlands", "source_name": "Delft Univ. of Technol., Netherlands", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e11/24345969a536fd5fa78db05b6149ea262a69.pdf"], "doi": []}, {"id": "76908c01966d1656a13de779955aded5fc1fed32", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456", "http://doi.org/10.1109/TIP.2018.2882155", "https://www.ncbi.nlm.nih.gov/pubmed/30452370"]}, {"id": "d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b", "title": "Beyond Concept Detection: The Potential of User Intent for Image Retrieval", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132521"]}, {"id": "ea7d9a72e5f804567da3e9d937bd7d240c546d06", "title": "Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency", "addresses": [{"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10115-017-1056-y"]}, {"id": "1957bf2457f4dbac1bc226a16a751ad8f00705d5", "title": "Robust bundle adjustment for large-scale structure from motion", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4581-5"]}, {"id": "06b94b47b70c9bfcddbe277a61a9a802acd20096", "title": "Future-Supervised Retrieval of Unseen Queries for Live Video", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123437"]}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "788b16995a689a918b7994977350e7db13ef96a4", "title": "Efficient Conversion of Deep Features to Compact Binary Codes Using Fourier Decomposition for Multimedia Big Data", "addresses": [{"name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "source_name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}, {"name": "Sejong University", "source_name": "Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea", "street_adddress": "209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea", "lat": "37.55025960", "lng": "127.07313900", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276643", "http://doi.org/10.1109/TII.2018.2800163"]}, {"id": "f257e3ac714cd8fcd3b22d7d27ac6fab2db34097", "title": "Multimedia Big Data Analytics: A Survey", "addresses": [{"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3150226"]}, {"id": "830a532ca99fb9d8527dcfbac2d4003b4dd98eb7", "title": "Scheduling Large-scale Distributed Training via Reinforcement Learning", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622264", "http://doi.org/10.1109/BigData.2018.8622264"]}, {"id": "20c016843430bb65c60ea4011a9e8bbb5785c490", "title": "Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset", "addresses": [{"name": "DFKI GmbH, Kaiserslautern, Germany", "source_name": "DFKI GmbH, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983560"]}, {"id": "7a0e9de471b25252afbf8cec566d4962538c5b78", "title": "Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation", "addresses": [{"name": "TU Delft & Radboud University Nijmegen", "source_name": "TU Delft & Radboud University Nijmegen", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Klagenfurt", "source_name": "University of Klagenfurt", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910619"]}, {"id": "b3e50a64709a62628105546e392cf796f95ea0fb", "title": "Clustering via Boundary Erosion", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04312.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "0e2e4b2deee91884d6da21c06e609b1f61270f70", "title": "How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science", "addresses": [{"name": "University of Pisa", "source_name": "University of Pisa", "street_adddress": "Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia", "lat": "43.72012990", "lng": "10.40789760", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0e2e/4b2deee91884d6da21c06e609b1f61270f70.pdf"], "doi": []}, {"id": "61b17f719bab899dd50bcc3be9d55673255fe102", "title": "Detecting Sarcasm in Multimodal Social Platforms", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02289.pdf"], "doi": []}, {"id": "7fd358a0eba775fe9d87f165cb2074fa8fa762e0", "title": "Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09145.pdf"], "doi": []}, {"id": "d3b3c82d73fac683aa23533d26240ec92d14352b", "title": "Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01373.pdf"], "doi": []}, {"id": "48a442646483d9777a2c5864a8e5f6d1a4851396", "title": "Kickstarting the Commons: The YFCC100M and the YLI Corpora", "addresses": [{"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2816986"]}, {"id": "788da403d220e2cc08dca9cffbe1f84b3c68469a", "title": "Causally Regularized Learning with Agnostic Data Selection Bias.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06656.pdf"], "doi": []}, {"id": "9064e178864208cb0e89fecdc8d26b846ccc8e55", "title": "Localizing Moments in Video with Temporal Language", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01337.pdf"], "doi": []}, {"id": "75b32783a098b3173d44f27f7b8329b6d48f369e", "title": "Scaling of foreign attractiveness for countries and states", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08132.pdf"], "doi": []}, {"id": "6f97f9959015cb0e93fba000ae468d22b4c5078a", "title": "A Discriminative and Compact Audio Representation for Event Detection", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970377"]}, {"id": "4ae7fb256d3251019f570776dfe34e8d234c6fdf", "title": "Exploiting social media information toward a context-aware recommendation system", "addresses": [{"name": "Ionian University", "source_name": "Ionian University", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u039b\u03b5\u03c9\u03c6. \u0399\u03c0\u03c0\u03bf\u03ba\u03c1\u03ac\u03c4\u03bf\u03c5\u03c2, \u03ba. \u03a1\u03af\u03bf\u03c5 (\u0391\u03b3\u03af\u03bf\u03c5 \u0393\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u03a1\u03af\u03bf\u03c5), \u03a0\u03ac\u03c4\u03c1\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b1\u03c4\u03c1\u03ad\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0391\u03c7\u03b1\u0390\u03b1\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0394\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2, \u03a0\u03b5\u03bb\u03bf\u03c0\u03cc\u03bd\u03bd\u03b7\u03c3\u03bf\u03c2, \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u0399\u03cc\u03bd\u03b9\u03bf, 26443, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "38.28994820", "lng": "21.78864690", "type": "edu", "country": "Greece"}, {"name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "source_name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "street_adddress": "\u039d\u03b5\u03b1\u03c0\u03cc\u03bb\u03b5\u03c9\u03c2 27 \u03ba\u03b1\u03b9, Patriarchou Grigoriou E, Ag. Paraskevi 153 41, Greece", "lat": "37.99998030", "lng": "23.81974790", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13278-017-0459-9"]}, {"id": "58d96262dff8f28e59e66491ffb7f36f28af07a3", "title": "Quartet-net Learning for Visual Instance Retrieval", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967262"]}, {"id": "01591390da1356b871aefe11d4bb92c1df5ba082", "title": "Online Appendix to : Content-based Image Retrieval", "addresses": [{"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0159/1390da1356b871aefe11d4bb92c1df5ba082.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "9d6993f60539d30ee325138b3465aa020fa3bcb4", "title": "Analysis and Optimization of fastText Linear Text Classifier", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05531.pdf"], "doi": []}, {"id": "1415c27bf7ddf4137d45f446cae6edfc9740919e", "title": "Few-Shot Hash Learning for Image Retrieval", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Wang_Few-Shot_Hash_Learning_ICCV_2017_paper.pdf", "https://ri.cmu.edu/wp-content/uploads/2017/12/45.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265357", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.148", "http://doi.org/10.1109/ICCVW.2017.148"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "dbf360fa9997b2918a8076f1d0df9a1fffa94ed7", "title": "Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dbf3/60fa9997b2918a8076f1d0df9a1fffa94ed7.pdf"], "doi": []}, {"id": "c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42", "title": "Graph-Based Early-Fusion for Flood Detection", "addresses": [{"name": "University of Campinas (Unicamp)", "source_name": "RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}, {"name": "Universit\u00e9 de Lorraine, Vandoeuvre-l\u00e8s-Nancy, France", "source_name": "Universit\u00e9 de Lorraine-LORIA UMR 7503, Vandoeuvre-l\u00e8s-Nancy, France", "street_adddress": "Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vand\u0153uvre-l\u00e8s-Nancy, France", "lat": "48.66579550", "lng": "6.15842070", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451011", "http://doi.org/10.1109/ICIP.2018.8451011"]}, {"id": "8a5be2b370c5a1df06e1063b306b2874706c24dc", "title": "The Konstanz natural video database (KoNViD-1k)", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "Hungarian Academy of Sciences", "source_name": "MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, \nBudapest, Hungary", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "Hungary"}], "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/814067/1/konstanz-natural-video.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/39103/Hosu_2-e7mh9z8d8u09.pdf?isAllowed=y&sequence=1", "https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaJe17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965673", "http://doi.org/10.1109/QoMEX.2017.7965673"]}, {"id": "bd41ce7362259dea758d84c219eeb0dd2f40337c", "title": "Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute, Berkeley", "source_name": "International Computer Science Institute, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980533"]}, {"id": "db989600b1857cea9abd14dba9c10808030c7d33", "title": "Delving Deep into Personal Photo and Video Search", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, New York City, NY, USA", "source_name": "Yahoo Research, New York City, NY, USA", "street_adddress": "New York, NY, USA", "lat": "40.71277530", "lng": "-74.00597280", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3018736"]}, {"id": "7ecbc1b186b4b2f6f6ea786572252984f1deb667", "title": "Mining exoticism from visual content with fusion-based deep neural networks", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-00165-4"]}, {"id": "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "title": "Two-class 3D-CNN classifiers combination for video copy detection", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Shandong Management University", "source_name": "Shandong Management University, Jinan, China", "street_adddress": "Yuansheng Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250100", "lat": "36.67283000", "lng": "117.06216700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6047-9"]}, {"id": "799b9904f37a515a9614f6a92ff673c4c6e97a7f", "title": "Survey on Visual-Based Localization", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/799b/9904f37a515a9614f6a92ff673c4c6e97a7f.pdf"], "doi": []}, {"id": "a50d2245d46ce0595ddbf25ae9acb8513aa70067", "title": "Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acd2/1d21ca466efb16b43ac9d647e99220fd6ddd.pdf"], "doi": []}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "0f885fd46064d271d4404cf9bb3d758e1a6f8d55", "title": "Exploring the Limits of Weakly Supervised Pretraining", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00932.pdf"], "doi": []}, {"id": "1fefb2f8dd1efcdb57d5c2966d81f9ab22c1c58d", "title": "vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1fef/b2f8dd1efcdb57d5c2966d81f9ab22c1c58d.pdf"], "doi": []}, {"id": "a5628b377efcd69043b158388203502e41266852", "title": "Hybrid Indexes for Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126763"]}, {"id": "41e7df687f07102969b3bc0c89c8197942da326d", "title": "Developing and applying a benchmark for evaluating image stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://gigl.scs.carleton.ca/sites/default/files/david_mould/cag.pdf", "http://orca-mwe.cf.ac.uk/102362/1/cag.pdf", "http://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/benchmark-CAG-postprint.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2017.05.025"]}, {"id": "cbd0f4006df1b2661f2c3a711d95727d61756afe", "title": "Multimodal Classification of Moderated Online Pro-Eating Disorder Content", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025985"]}, {"id": "632d9b67c474aab18dc960d8a251b2030ad59bc1", "title": "Binarized Mode Seeking for Scalable Visual Pattern Discovery", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Binarized_Mode_Seeking_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100205", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.722", "http://doi.org/10.1109/CVPR.2017.722"]}, {"id": "8ee02b8d375b21fe37b837e1a9288624f47c38d3", "title": "The Lifecycle of Geotagged Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ee0/2b8d375b21fe37b837e1a9288624f47c38d3.pdf"], "doi": []}, {"id": "a019131087eaca6d33f43d9b38d9bd177f89855c", "title": "User-Generated Content in Social Media", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Tampere", "source_name": "University of Tampere", "street_adddress": "Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33100, Suomi", "lat": "61.49412325", "lng": "23.77920678", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a019/131087eaca6d33f43d9b38d9bd177f89855c.pdf"], "doi": []}, {"id": "fc8fb68a7e3b79c37108588671c0e1abf374f501", "title": "Semantic Pooling for Complex Event Analysis in Untrimmed Videos", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://cs.uwaterloo.ca/~y328yu/mypapers/pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565615", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2608901", "http://doi.org/10.1109/TPAMI.2016.2608901", "https://www.ncbi.nlm.nih.gov/pubmed/28113653"]}, {"id": "b44999bb2e23cf8ca0a413a2d006cc9800794650", "title": "More Than An Answer: Neural Pivot Network for Visual Qestion Answering", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123335"]}, {"id": "28453ccaaa89e46383e6164907d3e2a8f38549c6", "title": "Large Scale Indexing and Searching Deep Convolutional Neural Network Features", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-43946-4_14"]}, {"id": "2ccb12140ffc642010b448e7b6f77b3f57cea497", "title": "Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079665"]}, {"id": "247a14b584d8d83a9191149011de2908a8da605b", "title": "State of the Geotags: Motivations and Recent Changes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/247a/14b584d8d83a9191149011de2908a8da605b.pdf"], "doi": []}, {"id": "c92d6fdcb16eb547b3794a2d60cf04328fdd2344", "title": "Event Detection and Retrieval on Social Media", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03675.pdf"], "doi": []}, {"id": "edfc222d66267709b66440c17e66fb08c69f2ba6", "title": "Global multi-layer network of human mobility", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Salzburg", "source_name": "University of Salzburg", "street_adddress": "Universit\u00e4t Salzburg - Unipark, 1, Erzabt-Klotz-Stra\u00dfe, Nonntal, Salzburg, 5020, \u00d6sterreich", "lat": "47.79475945", "lng": "13.05417525", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.05532.pdf"], "doi": []}, {"id": "df9a08016fa553a169d893ce2d3fca375bab4781", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df9a/08016fa553a169d893ce2d3fca375bab4781.pdf"], "doi": []}, {"id": "890291bc2367e802fca871d67880bdc4a05374cf", "title": "Modeling Characteristics of Location from User Photos", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3039683"]}, {"id": "db545026d0b42c2dcf935a1505a68edb36381194", "title": "Development of an Encrypting System for an Image Viewer based on Hill Cipher Algorithm", "addresses": [{"name": "Covenant University", "source_name": "Covenant University, Ota Ogun State, Nigeria", "street_adddress": "KM 10 Idiroko Rd, Ota, Nigeria", "lat": "6.67264470", "lng": "3.16121300", "type": "edu", "country": "Nigeria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db54/5026d0b42c2dcf935a1505a68edb36381194.pdf"], "doi": []}, {"id": "cb8a1b8d87a3fef15635eb4a32173f9c6f966055", "title": "A Survey on Deep Learning: Algorithms, Techniques, and Applications", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234150"]}, {"id": "06d10f906ac9023b5566c70a2600384b8c1b24c3", "title": "Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00536.pdf"], "doi": []}, {"id": "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "title": "Learning Points and Routes to Recommend Trajectories", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.07051.pdf"], "doi": []}, {"id": "f765c628c5483d7ad974a8605fdd3c7b4010ded2", "title": "Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7776845", "http://doi.org/10.1109/JBHI.2016.2637004", "https://www.ncbi.nlm.nih.gov/pubmed/28114049", "https://www.wikidata.org/entity/Q39004355"]}, {"id": "b83fa4fe617db200defe21a07f81aa8060587217", "title": "Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06052.pdf"], "doi": []}, {"id": "fbdfed192ea0e6508d931b3d00335d99e976c0d7", "title": "From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02899.pdf"], "doi": []}, {"id": "bf7f554ec8f5f44e9c942237effd282a16efecf6", "title": "SALIC: Social Active Learning for Image Classification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://epubs.surrey.ac.uk/812487/1/double.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7466862", "http://doi.org/10.1109/TMM.2016.2565440"]}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "37380f8247e7ddd77f0105914d97eef849b9dc47", "title": "CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622090", "http://doi.org/10.1109/BigData.2018.8622090"]}, {"id": "9fb32f4f332b6acb8eafa418b45650e54796f0a7", "title": "A Data-Centric Approach for Image Scene Localization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://infolab.usc.edu/DocsDemos/IEEE_BigData_ImageSceneLocalization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621912", "http://doi.org/10.1109/BigData.2018.8621912"]}, {"id": "0a55824aa80e5a06af5bf8ba089b19db245471f1", "title": "Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0a55/824aa80e5a06af5bf8ba089b19db245471f1.pdf"], "doi": []}, {"id": "e346aef68ae6df61b83fdeaa71ded9ba0282325e", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06004.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "title": "LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06480.pdf"], "doi": []}, {"id": "2874e3b4bde2203129773f1a7baf78f0710c490e", "title": "Selective Deep Convolutional Features for Image Retrieval", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00809.pdf"], "doi": []}, {"id": "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "title": "A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448670", "http://doi.org/10.1109/IVMSPW.2018.8448670"]}, {"id": "90eb833df9614da495712f4c1fbb65f8e7d9b356", "title": "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c12d/09f36feaa03a533d87eb3ceef5bc76989f05.pdf"], "doi": []}, {"id": "4d1aaf1027231979bb0cad6dc3e31e01925970cc", "title": "The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10569.pdf"], "doi": []}, {"id": "65429789a95b3026457de76d46b5ec94158ce10e", "title": "PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01956.pdf"], "doi": []}, {"id": "8a3d969732951e4d22c608d465b091b9272f03bb", "title": "Multimedia COMMONS - Community-Organized Multimodal Mining: Opportunities for Novel Solutions (MMCommons Workshop 2015)", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806409"]}, {"id": "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "title": "Addressing the Dark Side of Vision Research: Storage", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3f/b3ef83a5d5a905250a1ec986e720ae422ed4.pdf"], "doi": []}, {"id": "f54ce6b62e9889832d891f2aada677171d4219fe", "title": "Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting", "addresses": [{"name": "Motilal Nehru National Institute of Technology, Allahabad, India", "source_name": "Motilal Nehru National Institute of Technology, Allahabad, India", "street_adddress": "Barrister Mullah Colony, MNNIT Allahabad Campus, Teliarganj, Prayagraj, Uttar Pradesh 211004, India", "lat": "25.49201020", "lng": "81.86391630", "type": "edu", "country": "India"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983555"]}, {"id": "10e78afd7ea5f70e192b08be8fe1a978ad89394b", "title": "Video Stream Retrieval of Unseen Queries using Semantic Memory", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06753.pdf"], "doi": []}, {"id": "0bb078880758c023007950f1d7eea99e666e4f06", "title": "Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0bb0/78880758c023007950f1d7eea99e666e4f06.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "20a1350815c4588a2380414bc78a7e215a2e3955", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "title": "The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d3da/e5c4f47a0457ebe2297d7e70432521c82cc6.pdf"], "doi": []}, {"id": "966a09ac570b043aebb7bd92fa116e8f40f50642", "title": "Cross-Modal Style Transfer", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451734", "http://doi.org/10.1109/ICIP.2018.8451734"]}, {"id": "4f90acbfe479bad10b1c733dc7e6a174fd4b2870", "title": "Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08321.pdf"], "doi": []}, {"id": "2bf37dd0ebaac003e67d11cc869e5e93b13dbd00", "title": "Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FXPal, Palo Alto, CA, USA", "source_name": "FXPal, Palo Alto, CA, USA", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806281"]}, {"id": "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "title": "Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/774a/e9c6b2a83c6891b5aeeb169cfd462d45f715.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "30a77605282133e83ee5a35cc5bd9fe46534836c", "title": "Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File", "addresses": [{"name": "ISTI-CNR, Via G.Moruzzi, Italy", "source_name": "ISTI-CNR, Via G.Moruzzi, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095740"]}, {"id": "7f2a7d076bd2fad956dc5103191e392fb11adc49", "title": "Rapid, detail-preserving image downscaling", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980239"]}, {"id": "35d181da0b939bdf3bdf579969e5fe69e277e03e", "title": "Learning Features by Watching Objects Move", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06370.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "d50e47c59655d0274d60386c6627e2571242a121", "title": "Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559710"]}, {"id": "983f695c0ae44632182184f81579872f0353c6bc", "title": "V3C - A Research Video Collection", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.04401.pdf"], "doi": []}, {"id": "612da08d1dd16ac0a3b61151c6cf40b1e95b50c3", "title": "Hybrid Indexes to Expedite Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05200.pdf"], "doi": []}, {"id": "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "title": "Active Learning from Noisy Tagged Images", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/3c8c9adef3b6a36c31c2682f2179e3013ae1.pdf"], "doi": []}, {"id": "968ab65077c4be1c1071120052b2e4b4f3d3c59a", "title": "\"Seeing is believing: the quest for multimodal knowledge\" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903517"]}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "1f2b4b2670fb2ed83db817c95d52ca0e042d5315", "title": "Stepping stone graph for public movement analysis", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274913"]}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "57582fd607c8aad7245b497a6a68bc3a1901ef08", "title": "Neural Personalized Ranking for Image Recommendation", "addresses": [{"name": "Texas A&M Univerisity, College Station, TX, USA", "source_name": "Texas A&M Univerisity, College Station, TX, USA", "street_adddress": "400 Bizzell St, College Station, TX 77843, USA", "lat": "30.61853100", "lng": "-96.33649900", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159728"]}, {"id": "5ad42766d7ba40ceccd8047f6810b9cf6ac79748", "title": "Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3204941"]}, {"id": "e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49", "title": "Interactive Multimodal Learning on 100 Million Images", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912062"]}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "de09cb5eeff5e7a752567c009f7621dfa6ebb2da", "title": "Generating Affective Captions using Concept And Syntax Transition Networks", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984070"]}, {"id": "da30d5e0cf214c1d86f629081493fa55e5a27efc", "title": "Expertise screening in crowdsourcing image quality", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoLiSa18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463427", "http://doi.org/10.1109/QoMEX.2018.8463427"]}, {"id": "7d0ff6d0621b3846e8543bc162fd0215d8adfaf0", "title": "Efficient Large-Scale Similarity Search Using Matrix Factorization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780597", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.228", "http://doi.org/10.1109/CVPR.2016.228", "https://hal.inria.fr/hal-01238242/document"]}, {"id": "dcc414adda5432011bfc53359075dd341b924910", "title": "LF-Net: Learning Local Features from Images", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}, {"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09662.pdf"], "doi": []}, {"id": "d89b7eb82a663187f63e7d69dca11f204c74fcb1", "title": "Nonlinear Structural Hashing for Scalable Video Search", "addresses": [{"name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology", "source_name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "gov", "country": "China"}], "year": "2018", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Nonlinear%20structural%20hashing%20for%20scalable%20video%20search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855682", "http://doi.org/10.1109/TCSVT.2017.2669095"]}, {"id": "0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11", "title": "Windsurf: the best way to SURF", "addresses": [{"name": "Universit\u00e0 di Bologna", "source_name": "C.d.L. Scienze dell'Informazione - Universit\u00e0 di Bologna, via Sacchi 3, 47023 Cesena, ITALY", "street_adddress": "Via Scipione Sacchi, 3, 47521 Cesena FC, Italy", "lat": "44.13977980", "lng": "12.24318990", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0567-4"]}, {"id": "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "title": "Structured Recommendation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09067.pdf"], "doi": []}, {"id": "34f5acebcb39d844d3bef5cf4a840fb505bda5e1", "title": "In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100M", "addresses": [{"name": "CERTH, Thermi-Thessaloniki, Greece", "source_name": "CERTH, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983558"]}, {"id": "353a058f49a8c60b41e9cd28962f6060cf4f6646", "title": "The research of multimedia cloud computing platform data dynamic task scheduling optimization method in multi core environment", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "College of Humanities & Information of Changchun University of Technology", "source_name": "College of Humanities & Information of Changchun University of Technology, Changchun, China", "street_adddress": "1016 Fuzhi Rd, Nanguan Qu, Changchun Shi, Jilin Sheng, China, 130122", "lat": "43.78308800", "lng": "125.42858700", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3667-9"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "6b6cd29c63d3ada53c7a7664248c6db8387da88a", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275", "http://doi.org/10.1109/CBMI.2018.8516275"]}, {"id": "aef293fa9617a8924389b95f313540c1329cb2b1", "title": "LocXplore: a system for profiling urban regions", "addresses": [{"name": "Freie Universit\u00e4t Berlin, Germany", "source_name": "Freie Universit\u00e4t Berlin, Germany", "street_adddress": "Kaiserswerther Str. 16-18, 14195 Berlin, Germany", "lat": "52.45252640", "lng": "13.28967870", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274924"]}, {"id": "2e57eef707fa9c89d2a7ac68f55c26dea850c5ea", "title": "Mixture of Convolutional Neural Networks for Image Classification", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e57/eef707fa9c89d2a7ac68f55c26dea850c5ea.pdf"], "doi": []}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "004aa2cb4b68850ee006af8a6807b3c1a6a198f0", "title": "Deep Classifiers from Image Tags in the Wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814821"]}, {"id": "256f09fe3163564958381d7f3727b5c27c19144c", "title": "Image2Emoji: Zero-shot Emoji Prediction for Visual Media", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806335"]}, {"id": "26861e41e5b44774a2801e1cd76fd56126bbe257", "title": "Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2686/1e41e5b44774a2801e1cd76fd56126bbe257.pdf"], "doi": []}, {"id": "2577211aeaaa1f2245ddc379564813bee3d46c06", "title": "Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.06974.pdf"], "doi": []}, {"id": "023dfda497ca5ecbe1aa03843bc4e85621c26e8d", "title": "What makes ImageNet good for transfer learning?", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08614.pdf"], "doi": []}, {"id": "6354b0dc8f0f7326133c4a275e1d3988747473a9", "title": "Retrieving Social Flooding Images Based on Multimodal Information", "addresses": [{"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a945/33178e89871c2be210eb0634023861378509.pdf"], "doi": []}, {"id": "47de7339f70075f6ac1a77d3dba23dbe3e435b73", "title": "EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809932"]}, {"id": "fd0a462934359b52051ae95b970c9e01f4f32539", "title": "Fast and Accurate Content-based Semantic Search in 100M Internet Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806237"]}, {"id": "684f87f29176db22743b327edd070ce366a8cf76", "title": "Unsupervised Latent Aspect Discovery for Diverse Event Summarization", "addresses": [{"name": "National Taiwan Unversity, Taipei, Taiwan Roc", "source_name": "National Taiwan Unversity, Taipei, Taiwan Roc", "street_adddress": "No. 1, Section 4, Roosevelt Rd, Da\u2019an District, Taipei City, Taiwan 10617", "lat": "25.01734050", "lng": "121.53975180", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809935"]}, {"id": "c10c5d3fd3575570ec55ddbe838fb2a52cf97bc9", "title": "TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "f0b0dc397cf31df4fda45c0187190c42de5adf40", "title": "Exploiting Spatial Relationship between Scenes for Hierarchical Video Geotagging", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749354"]}, {"id": "14e55a8090d27b3a8c807be68463bf87a8203ab1", "title": "The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2661125"]}, {"id": "6eb5f375d67dd690ec3b134de7caecde461e8c72", "title": "Learning to detect concepts from webly-labeled video data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/250.pdf", "http://www.cs.cmu.edu/~lujiang/camera_ready_papers/IJCAI_2016.pdf", "https://www.ijcai.org/Proceedings/16/Papers/250.pdf"], "doi": ["http://www.ijcai.org/Abstract/16/250"]}, {"id": "63569084eca9ddf60cc0ff27d0155042433cb654", "title": "Classification of Architectural Heritage Images Using Deep Learning Techniques", "addresses": [{"name": "University of Valladolid", "source_name": "University of Valladolid, Valladolid, Spain", "street_adddress": "C/Plaza de Santa Cruz, 8, 47002 Valladolid, Spain", "lat": "41.65692710", "lng": "-4.71405470", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a1c/4e75c74b715fcc0903a044c4f7aa3d3bbf1c.pdf"], "doi": []}, {"id": "3c4c15a6597223887e0a5384237fd2a89b176e4a", "title": "Optimized Product Quantization", "addresses": [{"name": "Microsoft Bing, Sunnyvale", "source_name": "Microsoft Bing, Sunnyvale", "street_adddress": "755 N Mathilda Ave, Sunnyvale, CA 94085, USA", "lat": "37.39412440", "lng": "-122.03018430", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://kaiminghe.com/publications/pami13opq.pdf", "http://research.microsoft.com/en-us/um/people/jiansun/papers/tr13_opq.pdf", "http://research.microsoft.com/pubs/193148/opq_tr.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/11/pami13opq.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/opq_tr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678503", "http://doi.org/10.1109/TPAMI.2013.240", "https://www.ncbi.nlm.nih.gov/pubmed/26353197", "https://www.wikidata.org/entity/Q50855436"]}, {"id": "7113bf11db5fd3b14c9e6d3388a58a5930f0cac1", "title": "A benchmark image set for evaluating stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7113/bf11db5fd3b14c9e6d3388a58a5930f0cac1.pdf"], "doi": []}, {"id": "723b87aca073b7b82970a4580f64ba8c6c64691b", "title": "Improving Personalized Trip Recommendation by Avoiding Crowds", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983749"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "9bbc952adb3e3c6091d45d800e806d3373a52bac", "title": "Learning Visual Classifiers using Human-centric Annotations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bbc/952adb3e3c6091d45d800e806d3373a52bac.pdf"], "doi": []}, {"id": "ea0d399d32f6d3fd4bcf95bc964a9fd62629ff78", "title": "Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079003"]}, {"id": "3ad6bd5c34b0866019b54f5976d644326069cb3d", "title": "Towards next generation touring: personalized group tours", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://people.eng.unimelb.edu.au/limk2/2016-ICAPS-groupTourRec.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/12803"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "53b8766a86782535ba9d6b4c18f7cefce86f745c", "title": "Insights into Audio-Based Multimedia Event Classification with Neural Networks", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814816"]}, {"id": "a902ae7016408a63c3a2539d012e07070c29f9d6", "title": "Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578729"]}, {"id": "295e9b2ddb3c9c7d029a99d5b877bf3824949f1b", "title": "Reconstructing the world* in six days", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://frahm.web.unc.edu/files/2014/08/cvpr2015-heinly.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-abstract.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-poster.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_115_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298949", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298949", "http://doi.org/10.1109/CVPR.2015.7298949"]}, {"id": "15c23faedb0b03b94f2ca5c6e39380c5b51f869c", "title": "CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02130.pdf"], "doi": []}, {"id": "7f6eb3011704c580e53c9d6e020a3fc63069a5d7", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "cebd79bc878d550f107fddfae0e283e293938495", "title": "The Geography and Importance of Localness in Geotagged Social Media", "addresses": [{"name": "Hasselt University", "source_name": "Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium", "street_adddress": "E, Willem de Croylaan 56, 3001 Leuven, Belgium", "lat": "50.85700400", "lng": "4.67632950", "type": "edu", "country": "Belgium"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858122"]}, {"id": "dc99e69e32b953f9d2a64b085ee5a875bb82bcbd", "title": "WISC at MediaEval 2017: Multimedia Satellite Task", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48e3/61ac15c9c048ef20fbc8a60c21f0ef3e6885.pdf"], "doi": []}, {"id": "49455079e54d7d06fd2d5617507947a31d4f9198", "title": "LBANN: livermore big artificial neural network HPC toolkit", "addresses": [{"name": "Lawrence Livermore National Laboratory, Livermore, CA", "source_name": "Lawrence Livermore National Laboratory, Livermore, CA", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2834897"]}, {"id": "2814c1f23bc57c76fd3ef499483995c3e919c50c", "title": "Predicting floods with Flickr tags", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2814/c1f23bc57c76fd3ef499483995c3e919c50c.pdf"], "doi": []}, {"id": "2e64ba3370cc5be4c14b16b4372ed2f8dae67390", "title": "SentiCap: Generating Image Descriptions with Sentiments", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.01431.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "b4fbcf9413f7b4d629d5279fbb6e22ddb0b4a450", "title": "Multi-Object Detection in Traffic Scenes Based on Improved SSD", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4fb/cf9413f7b4d629d5279fbb6e22ddb0b4a450.pdf"], "doi": []}, {"id": "5393ed3ec3c7a8a02b093569c757414d3279ff93", "title": "Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07584.pdf"], "doi": []}, {"id": "be1a67cf11561b3d4491022ea9b4358f2b52e530", "title": "Ubiquitous Multimedia: Emerging Research on Multimedia Computing", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Universidade de Lisboa, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5b9c/12b3f1e98f04be1b810f8cfb9899b1b7f2b8.pdf"], "doi": []}, {"id": "6e6a049944d74e5c44ffde79c0bfbb1385eee807", "title": "Incremental Learning for Fine-Grained Image Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912069"]}, {"id": "d983231cc90305e0802e797f74de2b816b90750c", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "ca787881403c67c07cbeaeec21beba7d27d271b0", "title": "Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01278.pdf"], "doi": []}, {"id": "c8b4beb3dd4d6594fcad58de0394c731d112780f", "title": "Leveraging Multimodal Semantics and Sentiments Information in Event Understanding and Summarization", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8b4/beb3dd4d6594fcad58de0394c731d112780f.pdf"], "doi": []}, {"id": "cccc169185d5a88a9fcdc4ab1477a8500cc9861b", "title": "Leveraging Expert Feature Knowledge for Predicting Image Aesthetics", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}, {"name": "Kodak Alaris, Inc., Rochester, NY, USA", "source_name": "Kodak Alaris, Inc., Rochester, NY, USA", "street_adddress": "336 Initiative Dr, Rochester, NY 14624, USA", "lat": "43.14949140", "lng": "-77.73558320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374927", "http://doi.org/10.1109/TIP.2018.2845100", "https://www.ncbi.nlm.nih.gov/pubmed/29994210"]}, {"id": "749bdd328e8c98cc6e82add044663e09ff2f1a17", "title": "Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123336"]}, {"id": "1bec14f3722ac91c83d6c0cdde4aeaa66ca8f42d", "title": "Fully Dynamic k-Center Clustering", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/436d/68e5f40a04ddf6a279d64cef3b824466990a.pdf"], "doi": []}, {"id": "eb28671c43e6f3bfeee3b5bec8023887d8c07bc7", "title": "Towards Personalized Image Captioning via Multimodal Memory Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8334621"]}, {"id": "ea69c62f4f92f4a9de64d62dd5176e5332926c24", "title": "A global assessment of tourism and recreation conservation threats to prioritise interventions", "addresses": [{"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08399.pdf"], "doi": []}, {"id": "0de3a52c019c114dbd97663fdf4e72a2dec07808", "title": "Network of Experts for Large-Scale Image Categorization", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06119.pdf"], "doi": []}, {"id": "b6397f818f67faad6a36de8480212f6e7e82e71c", "title": "Tag Prediction at Flickr: A View from the Darkroom", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126745"]}, {"id": "88cc230c6755dc88e110032a5ef96b6251c03917", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fbd7/d591e6eecb9a947e377d5b1a865a9f86a11f.pdf"], "doi": []}, {"id": "289c62c5286745cb94d52ecae9f087db4cca3bf3", "title": "Unsupervised Representation Learning with Clustering in Deep Convolutional Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/289c/62c5286745cb94d52ecae9f087db4cca3bf3.pdf"], "doi": []}, {"id": "17c4a18911efb909deb228cb3fbfb6610c82f751", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275"]}, {"id": "b4b9ec699c873cfbb16647966b230b522bc0113e", "title": "DTRP: A Flexible Deep Framework for Travel Route Planning", "addresses": [{"name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "source_name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "street_adddress": "Guo Jia Ji Suan Ji Wang Luo Ying Ji Ji Shu Chu Li Xie Tiao Zhong Xin, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.97436960", "lng": "116.38734270", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68783-4_25"]}, {"id": "80d109b71001d5184b34d48835a9bc00afdfa9ca", "title": "An efficient multi-feature SVM solver for complex event detection", "addresses": [{"name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5166-z"]}, {"id": "cfeda236987b04250a218b688e32b6b35c617ba4", "title": "Multi-scale Hierarchical Residual Network for Dense Captioning", "addresses": [{"name": "Zhejiang Gongshang University", "source_name": "Zhejiang Gongshang University, Hangzhou, China", "street_adddress": "18 Xuezheng St, Jianggan Qu, Hangzhou Shi, Zhejiang Sheng, China, 310018", "lat": "30.30875200", "lng": "120.38852900", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/cfed/a236987b04250a218b688e32b6b35c617ba4.pdf"], "doi": []}, {"id": "996dc200dd686c39e235aec78f7c6acd903a970f", "title": "Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections", "addresses": [{"name": "CEA LIST, Gif-sur-Yvette, France", "source_name": "CEA LIST, Gif-sur-Yvette, France", "street_adddress": "B\u00e2timent 565, 91191 Gif-sur-Yvette, France", "lat": "48.72751930", "lng": "2.15684880", "type": "edu", "country": "France"}, {"name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "source_name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814819"]}, {"id": "2ede3ba3149bdb180387669acd7cc47aea2bfaba", "title": "Computer Vision Based and FPRank Based Tag Recommendation for Social Popularity Enhancement", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180311"]}, {"id": "33737f966cca541d5dbfb72906da2794c692b65b", "title": "Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w28/papers/Mensink_Spotting_Audio-Visual_Inconsistencies_CVPR_2017_paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/bolles17cvprwmf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014972", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.238", "http://doi.org/10.1109/CVPRW.2017.238"]}, {"id": "11d527d2f77df6200d8760d9d2163320e621bde1", "title": "Fashion Culture Database: Construction of Database for World-wide Fashion Analysis", "addresses": [{"name": "National Institute of Advanced Industrial Science and Technology", "source_name": "National Institute of Advanced Industrial Science and Technology", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581148"]}, {"id": "6816cd8f4fcfda892d8f993cc0ae4d9e10db4178", "title": "A Tag Recommendation System for Popularity Boosting", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127913"]}, {"id": "4daf898d78ed64c990b99ebf04f84380d7fedb84", "title": "Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079035"]}, {"id": "8f19553b81c8a93f199f89533c2185dd35c02709", "title": "How Geotagged Social Media Can Inform Modern Travelers", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f19/553b81c8a93f199f89533c2185dd35c02709.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "35734e8724559fb0d494e5cba6a28ad7a3d5dd4d", "title": "Explaining and Harnessing Adversarial Examples", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6572.pdf"], "doi": []}, {"id": "279735d7811b31c936306c28ede01b97ff072060", "title": "Estimating the Accuracies of Multiple Classifiers Without Labeled Data", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.7644.pdf"], "doi": []}, {"id": "982ede05154c1afdcf6fc623ba45186a34f4b9f2", "title": "The Many Shades of Negativity", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7835107", "http://doi.org/10.1109/TMM.2017.2659221"]}, {"id": "062d67af7677db086ef35186dc936b4511f155d7", "title": "They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~epxing/papers/2016/Chang_Yu_Yang_Xing_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "https://opus.lib.uts.edu.au/bitstream/10453/58433/4/cvpr16a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780577", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.208", "http://doi.org/10.1109/CVPR.2016.208"]}, {"id": "d3008b4122e50a28f6cc1fa98ac6af28b42271ea", "title": "Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806218"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "85304f24f5a1800e66de20ad05e20c8c032b7d03", "title": "Understanding and Discovering Deliberate Self-harm Content in Social Media", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8530/4f24f5a1800e66de20ad05e20c8c032b7d03.pdf"], "doi": []}, {"id": "7f05df12dff3defee495507abd4870a0a30c3590", "title": "Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f05/df12dff3defee495507abd4870a0a30c3590.pdf"], "doi": []}, {"id": "2110dd412aa5a0ace530cd9aef1464e8682a71c1", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456"]}, {"id": "e9b97cff4bf7ca4029cbe6b3919f796c6668e1a1", "title": "VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974787", "http://doi.org/10.1109/TMM.2017.2722687"]}, {"id": "10b780a1154ca70d64b795a6d52945f22d5b31ce", "title": "Self-Paced Learning with Diversity", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4460/6e1209a47d1fcf88b90e306db9e4b84fa2c5.pdf"], "doi": []}, {"id": "d6bd16cdefd96cdb22a88e290ea1db629b65fdf7", "title": "ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8508249"]}, {"id": "28550d85622f3f93134a54b203a37213a29f5e54", "title": "Distributional Smoothing with Virtual Adversarial Training", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00677.pdf"], "doi": []}, {"id": "1e91f4615bcdce4604044395a1431bb1c9b78484", "title": "Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03476.pdf"], "doi": []}, {"id": "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "title": "CERTH/CEA LIST at MediaEval Placing Task 2015", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ea98/5e35b36f05156f82ac2025ad3fe8037be0cd.pdf"], "doi": []}, {"id": "e3137bb7d73b4f846ad00800b46cc4118d2e0a34", "title": "Multimodal Graph-based Event Detection and Summarization in Social Media Streams", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809933"]}, {"id": "29025c172b441818d3da51e977af11b82c59df91", "title": "Learning Sound Event Classifiers from Web Audio with Noisy Labels", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01189.pdf"], "doi": []}, {"id": "a4db1ee9ec8127a5c21a4c79261a1f298f651421", "title": "Instructional Videos for Unsupervised Harvesting and Learning of Action Examples", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654997"]}, {"id": "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "title": "Learning Geo-Temporal Image Features.", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "Washington University", "source_name": "Washington University", "street_adddress": "Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA", "lat": "38.64804450", "lng": "-90.30996670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0586.pdf", "http://cs.uky.edu/~ted/assets/pdfs/whenwhere.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/adience.json b/site/datasets/final/adience.json index c7963f8d..b5f88613 100644 --- a/site/datasets/final/adience.json +++ b/site/datasets/final/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "dataset": {"key": "adience", "name_short": "Adience", "name_display": "Adience Benchmark Dataset", "name_full": "Adience Benchmark", "purpose": "Age and gender estimation", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.openu.ac.il/home/hassner/Adience/data.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "26,580 ", "videos": "", "tracklets": "", "identities": "2,298 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "face recognition, age estimation, gender estimation", "size_gb": "1.34", "agreement": "N", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "key": "adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "pdf": [], "address": {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, "name": "Adience", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "additional_papers": [], "citations": [{"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900141", "http://doi.org/10.1109/ICPR.2016.7900141"]}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "addresses": [{"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "56f86bef26209c85f2ef66ec23b6803d12ca6cd6", "title": "Pyramidal RoR for image classification", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00307.pdf"], "doi": []}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "addresses": [{"name": "Cyprus University of Technology", "source_name": "Cyprus University of Technology", "street_adddress": "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "lat": "34.67567405", "lng": "33.04577648", "type": "edu", "country": "Cyprus"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7998260", "http://doi.org/10.1109/ICT.2017.7998260"]}, {"id": "3e19d36e41a8040df26929f19535e25dcda40d2b", "title": "Analysis of Human Age Estimation Process", "addresses": [{"name": "Maharashtra Institute of Technology, Pune", "source_name": "Maharashtra Institute of Technology, Pune", "street_adddress": "Survey No. 124, MIT College Campus, Paud Rd, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51836710", "lng": "73.81472260", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://www.ijarcce.com/upload/2015/march-15/IJARCCE%2028.pdf"], "doi": ["https://doi.org/10.17148/IJARCCE.2015.4328"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "ca011427853d34ce4ec9ccafde8a70c9eacc3e21", "title": "Deep Learning for Computer Vision: A Brief Review", "addresses": [{"name": "National Technical University of Athens", "source_name": "National Technical University of Athens", "street_adddress": "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.98782705", "lng": "23.73179733", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ca01/1427853d34ce4ec9ccafde8a70c9eacc3e21.pdf"], "doi": []}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "addresses": [{"name": "Babes Bolyai University", "source_name": "Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania", "street_adddress": "Strada Universit\u0103\u021bii 7-9, Cluj-Napoca 400084, Romania", "lat": "46.76779550", "lng": "23.59127620", "type": "edu", "country": "Romania"}, {"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8117018", "http://doi.org/10.1109/ICCP.2017.8117018"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "title": "Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/60dc/35a42ac758c5372c44f3791c951374658609.pdf"], "doi": []}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "24c5b0b2506198bd89d492145b6176a6b1c999e2", "title": "Evaluating gender portrayal in Bangladeshi TV", "addresses": [{"name": "Eastern University", "source_name": "Eastern University", "street_adddress": "Eastern University, Huston Road, Radnor Township, Delaware County, Pennsylvania, 19087, USA", "lat": "40.05056720", "lng": "-75.37109326", "type": "edu", "country": "United States"}, {"name": "Dhaka University", "source_name": "Dhaka University", "street_adddress": "Faculty of Social Welfare, Dhaka University, Azimpur Koborsthan Road, \u09ac\u09b8\u09cd\u09a4\u09bf, \u09b9\u09be\u099c\u09be\u09b0\u09c0\u09ac\u09be\u0997, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1950, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73179150", "lng": "90.38056250", "type": "edu", "country": "Bangladesh"}, {"name": "Khulna University of Engineering & Technology", "source_name": "Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh", "street_adddress": "KUET, Khulna 9203, Bangladesh", "lat": "22.89987610", "lng": "89.50295450", "type": "edu", "country": "Bangladesh"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09728.pdf"], "doi": []}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4646-5", "https://doi.org/10.1007/s11042-017-4646-5"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "addresses": [{"name": "Pontifical Catholic University of Rio de Janeiro", "source_name": "Pontifical Catholic University of Rio de Janeiro", "street_adddress": "R. Marqu\u00eas de S\u00e3o Vicente, 225 - G\u00e1vea, Rio de Janeiro - RJ, 22451-900, Brazil", "lat": "-22.97910740", "lng": "-43.23308250", "type": "edu", "country": "Brazil"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "\u00c9cole de technologie sup\u00e9rieure (\u00c9TS) Montreal, Canada", "source_name": "École de technologie supérieure (ÉTS) Montreal, Canada", "street_adddress": "Montreal, QC, Canada", "lat": "45.50168890", "lng": "-73.56725600", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3236082"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "16820ccfb626dcdc893cc7735784aed9f63cbb70", "title": "Real-time embedded age and gender classification in unconstrained video", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf", "https://ruor.uottawa.ca/bitstream/10393/32463/1/Azarmehr_Ramin_2015_thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301367", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301367", "http://doi.org/10.1109/CVPRW.2015.7301367"]}, {"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "title": "Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "addresses": [{"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080243", "http://doi.org/10.1109/TIFS.2017.2766039"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "458823c4a3be58dc188cf314113b91209017fd3a", "title": "A Fusion-based Gender Recognition Method Using Facial Images", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472550"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "title": "Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "addresses": [{"name": "Chubu University Aichi", "source_name": "Chubu University Aichi, Japan", "street_adddress": "\uff11\uff12\uff10\uff10 Matsumotocho, Kasugai, Aichi Prefecture 487-8501, Japan", "lat": "35.27302300", "lng": "137.01537880", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5fb5/d9389e2a2a4302c81bcfc068a4c8d4efe70c.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "title": "Head pose estimation using learned discretization", "addresses": [{"name": "College of Computing, Georgia Tech", "source_name": "College of Computing, Georgia Tech", "street_adddress": "801 Atlantic Dr NW, Atlanta, GA 30332, USA", "lat": "33.77743490", "lng": "-84.39732080", "type": "edu", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Elon University", "source_name": "Elon University", "street_adddress": "Amphitheater, North Antioch Avenue, Elon, Alamance County, North Carolina, 27244, USA", "lat": "36.10179560", "lng": "-79.50173300", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296770", "http://doi.org/10.1109/ICIP.2017.8296770"]}, {"id": "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "title": "Feature extraction for facial age estimation: A survey", "addresses": [{"name": "Uka Tarsadia University", "source_name": "Uka Tarsadia University, Bardoii, India", "street_adddress": "Uka Tarsadia University, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Barodli, Gujarat 394350, India", "lat": "21.06902900", "lng": "73.13322400", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566541"]}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "addresses": [{"name": "Centro Studi S.r.l., Buccino, Italy", "source_name": "Centro Studi S.r.l., Buccino, Italy", "street_adddress": "Via Magaldi, 15, 84021 Buccino SA, Italy", "lat": "40.63521320", "lng": "15.37973390", "type": "edu", "country": "Italy"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169756", "http://doi.org/10.1109/ICMEW.2015.7169756", "https://www.wikidata.org/entity/Q57823671"]}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "addresses": [{"name": "Sichuan Film and Television University", "source_name": "Sichuan Film and Television University, Chengdu, China", "street_adddress": "China, Sichuan, Chengdu, Jinniu, \u91d1\u946b\u5927\u9053\u6c99\u897f\u7ebf9 \u90ae\u653f\u7f16\u7801: 610036", "lat": "30.72405100", "lng": "104.02660600", "type": "edu", "country": "China"}, {"name": "Sichuan Tourism University", "source_name": "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "street_adddress": "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "lat": "30.57890800", "lng": "104.27712000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2024-3"]}, {"id": "eb4151eebd0b7451ca990b242cef8357bfa9db92", "title": "Human Gender Prediction on Facial Images Taken by Mobile Phone using Convolutional Neural Networks", "addresses": [{"name": "Mevlana Universitesi, Konya, Turkey", "source_name": "Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey", "street_adddress": "Ard\u0131\u00e7l\u0131 Mahallesi, \u0130smetpa\u015fa Cad., 42250 Sel\u00e7uklu/Konya, Turkey", "lat": "38.02953300", "lng": "32.50605100", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb41/51eebd0b7451ca990b242cef8357bfa9db92.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "6c0ad77af4c0850bd01bb118e175ecc313476f27", "title": "Extended multi-spectral face recognition across two different age groups: an empirical study", "addresses": [{"name": "Goa University", "source_name": "Goa University, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "NTNU, Norway", "source_name": "NTNU, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010026"]}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "title": "Women Also Snowboard: Overcoming Bias in Captioning Models", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00517.pdf"], "doi": []}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "31ea88f29e7f01a9801648d808f90862e066f9ea", "title": "Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06391.pdf"], "doi": []}, {"id": "cfdc632adcb799dba14af6a8339ca761725abf0a", "title": "Probabilistic Formulations of Regression with Mixed Guidance", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1804.01575.pdf"], "doi": []}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "16d6737b50f969247339a6860da2109a8664198a", "title": "Convolutional Neural Networks for Age and Gender Classification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/16d6/737b50f969247339a6860da2109a8664198a.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "ac9a331327cceda4e23f9873f387c9fd161fad76", "title": "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01664.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298723"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "0c4d42abe48db8d4ef5619031a179a9465b3e0c0", "title": "Automatic Real and Apparent Age Estimation in Still Images", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0c4d/42abe48db8d4ef5619031a179a9465b3e0c0.pdf"], "doi": []}, {"id": "771e27c4b53f58622e6f03788b5102e5e70b1e49", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245865", "http://doi.org/10.1109/TCYB.2017.2782661", "https://www.ncbi.nlm.nih.gov/pubmed/29993966"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "10126b467391e153d36f1a496ef5618097775ad1", "title": "An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA", "addresses": [{"name": "Bangalore Institute of Technology", "source_name": "Bangalore Institute of Technology", "street_adddress": "Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India", "lat": "12.95512590", "lng": "77.57419850", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1012/6b467391e153d36f1a496ef5618097775ad1.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "81fc86e86980a32c47410f0ba7b17665048141ec", "title": "Segment-based Methods for Facial Attribute Detection from Partial Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03546.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "3be8477ef3596f089c74a800a5e5ded500ad67e0", "title": "Grouped Multi-Task CNN for Facial Attribute Recognition", "addresses": [{"name": "Technology Sun Yat-Sen University", "source_name": "Technology Sun Yat-Sen University, Guangzhou, 510006, China", "street_adddress": "135 Xingang W Rd, BinJiang Lu, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China", "lat": "23.09653840", "lng": "113.29888300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545352"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "addresses": [{"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "source_name": "Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "street_adddress": "28359 Bremen, Germany", "lat": "53.10134760", "lng": "8.86116320", "type": "edu", "country": "Germany"}, {"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "6e177341d4412f9c9a639e33e6096344ef930202", "title": "A Gender Recognition System from Facial Image", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}, {"name": "University of Dhaka", "source_name": "University of Dhaka", "street_adddress": "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73169570", "lng": "90.39652750", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf"], "doi": []}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808570"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "title": "Human injected by Botox age estimation based on active shape models, speed up robust features, and support vector machine", "addresses": [{"name": "Mansoura University", "source_name": "Faculty of Computers and Information Sciences, Mansoura University, Egypt", "street_adddress": "Mit Khamis WA Kafr Al Mougi, Mansoura, Dakahlia Governorate, Egypt", "lat": "31.04230430", "lng": "31.35192950", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S1054661816030184"]}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"]}, {"id": "625a8ec3e6cfc5fee0962acf09023b6bb9752ed5", "title": "Video Age Estimation with Multiple Stacked CNN Models", "addresses": [{"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pos.sissa.it/299/021/pdf"], "doi": ["https://doi.org/10.22323/1.299.0021"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "addresses": [{"name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "source_name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "street_adddress": "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "lat": "-35.43542180", "lng": "-71.61999980", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743331"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "29f298dd5f806c99951cb434834bc8dcc765df18", "title": "Computationally efficient template-based face recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/07899837.pdf?attachauth=ANoY7cqfUhcvdFXMZgmlp5F8vpsgnxBsprKKckxy_aZoISF-hkIFI9fOfhgG4xZaMrCeWwTD5mMdnQ2hBZzxR-8V81R3mF4OfAFLYtwdzfrf-KZK0jmORMVmLD_J8Z9xHoxj2DB6UDiAYoDwXFNg06yeoySgY6iT4Pjc_KCaDToyeyrLijivRbrfFOyvuzxfUXyo9lVg9FY0e5H3mdW1NFllFKgxpOFV9Q%3D%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899837", "http://doi.org/10.1109/ICPR.2016.7899837"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "title": "Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a188.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/CNN_Gender_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376610", "http://doi.org/10.1109/SSCI.2015.37"]}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "cf1dc9e3b7ef7f80318a14a1667139a69f404f6f", "title": "Automatic age and gender classification using supervised appearance model", "addresses": [{"name": "University of Bradford", "source_name": "Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK", "street_adddress": "Richmond Rd, Bradford BD7 1DP, UK", "lat": "53.79245230", "lng": "-1.76566170", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://bradscholars.brad.ac.uk/bitstream/handle/10454/8760/Ugail_Journal_of_Electronic_Imaging.pdf;jsessionid=E55C0CC685CC06835220302A31D9329E?sequence=1", "https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-25/issue-06/061605/Automatic-age-and-gender-classification-using-supervised-appearance-model/10.1117/1.JEI.25.6.061605.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.25.6.061605"]}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "title": "Deep learning for fusing multi-sensor person-borne IED data", "addresses": [{"name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH", "source_name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America", "street_adddress": "2241 Avionics Cir, Wright-Patterson AFB, OH 45433 Avionics Cir, Wright-Patterson AFB, OH 45433, USA", "lat": "39.77761470", "lng": "-84.08212350", "type": "mil", "country": "United States"}, {"name": "Black Cat Science Inc., Boston, MA", "source_name": "Black Cat Science Inc., Boston, MA 02467, United States of America", "street_adddress": "Chestnut Hill, MA 02467, USA", "lat": "42.31781980", "lng": "-71.16267560", "type": "company", "country": "United States"}, {"name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "source_name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "street_adddress": "27-2 Wright Rd, Hollis, NH 03049, USA", "lat": "42.73887570", "lng": "-71.55718010", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943492"]}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09018.pdf"], "doi": []}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "63a4105adbe182e67d8fd324de5c84a6df444294", "title": "Gender classification by LPQ features from intensity and Monogenic images", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108045"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "9d6e60d49e92361f8f558013065dfa67043dd337", "title": "Applications of Computational Geometry and Computer Vision", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf"], "doi": []}, {"id": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "addresses": [{"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}], "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.pdf"], "doi": ["https://doi.org/10.5815/ijmecs.2015.12.03"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "addresses": [{"name": "University of Campinas (UNICAMP)", "source_name": "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/1077.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913", "http://doi.org/10.1109/SMC.2017.8122913"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "addresses": [{"name": "Visvesvaraya National Institute of Technology Nagpur, India", "source_name": "Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India", "street_adddress": "Near Tennis Court, VNIT College Compount, South Ambazari Road, Nagpur, Maharashtra 440010, India", "lat": "21.12503070", "lng": "79.05235540", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "92d051d4680eb41eb172d23cb8c93eed7677af56", "title": "Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451616", "http://doi.org/10.1109/ICIP.2018.8451616"]}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "addresses": [{"name": "Liverpool University", "source_name": "Liverpool University, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02901.pdf"], "doi": []}, {"id": "60cd4ba089d0b078cdac0db311099493b55624d8", "title": "Local Deep Neural Networks for gender recognition", "addresses": [{"name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "source_name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n Edificio 8G, Planta 4\u00aa, 46022 Val\u00e8ncia, Spain", "lat": "39.47844400", "lng": "-0.33375450", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/84826/main_plain.pdf?isAllowed=y&sequence=3"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.015"]}, {"id": "13a39916d0459879703ce20f960726c5fb7269f1", "title": "ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00542.pdf"], "doi": []}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "1fe121925668743762ce9f6e157081e087171f4c", "title": "Unsupervised learning of overcomplete face descriptors", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/cvprw2015.pdf", "https://users.aalto.fi/~kannalj1/publications/cvprw2015.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301322", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301322", "http://doi.org/10.1109/CVPRW.2015.7301322"]}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725652"]}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275951", "http://doi.org/10.1109/ICACCI.2015.7275951"]}, {"id": "80d32516b736a38a896898e62f6b3228870b4c67", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://eprints.bbk.ac.uk/18811/1/18811.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2017.01.007"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"], "doi": []}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "017e94ad51c9be864b98c9b75582753ce6ee134f", "title": "Rapid one-shot acquisition of dynamic VR avatars", "addresses": [{"name": "Disney Research, Zurich", "source_name": "Disney Research, CH", "street_adddress": "Disney Research Z\u00fcrich, 48, Stampfenbachstrasse, Unterstrass, Kreis 6, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8006, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.38046850", "lng": "8.54303550", "type": "edu", "country": "Switzerland"}, {"name": "Disney Research, UK", "source_name": "Disney Research, UK", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Walt Disney Imagineering", "source_name": "Walt Disney Imagineering, USA", "street_adddress": "Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA", "lat": "34.16191740", "lng": "-118.28837020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://graphics.ethz.ch/~jebazin/papers/VR_2017_resized.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892240", "http://doi.org/10.1109/VR.2017.7892372", "https://www.wikidata.org/entity/Q57724144"]}, {"id": "00a38ebce124879738b04ffc1536018e75399193", "title": "Convolutional neural network for age classification from smart-phone based ocular images", "addresses": [{"name": "University of Missouri-Kansas City", "source_name": "University of Missouri-Kansas City, MO, USA", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272766", "http://doi.org/10.1109/BTAS.2017.8272766"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "ba0d9e1e8bc798656429fe7121afee672dddb380", "title": "Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01990.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "title": "Deep Reinforcement Learning of Video Games", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/361c/9ba853c7d69058ddc0f32cdbe94fbc2166d5.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "addresses": [{"name": "Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Elektrik-Elektronik M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67476490", "lng": "39.18669250", "type": "edu", "country": "Turkey"}, {"name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.68127590", "lng": "39.19608300", "type": "edu", "country": "Turkey"}, {"name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67747550", "lng": "39.20301210", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090181"]}, {"id": "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "title": "Age and gender classification using local appearance descriptors from facial components", "addresses": [{"name": "Advanced Technologies Application Center, Havana, Cuba", "source_name": "Advanced Technologies Application Center, Siboney Playa, Havana, Cuba", "street_adddress": "Playa, Havana, Cuba", "lat": "23.08862140", "lng": "-82.44819440", "type": "edu", "country": "Cuba"}, {"name": "University of Sassari", "source_name": "University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy", "street_adddress": "Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy", "lat": "40.72401760", "lng": "8.55789470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272773", "http://doi.org/10.1109/BTAS.2017.8272773"]}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430617", "http://doi.org/10.1109/ICCE.2016.7430617"]}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406403", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54", "http://doi.org/10.1109/ICCVW.2015.54"]}, {"id": "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "title": "SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression", "addresses": [{"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05719.pdf"], "doi": []}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}, {"name": "Institute of Engineering & Management, Kolkata", "source_name": "Institute of Engineering & Management, Kolkata", "street_adddress": "Sarojini Naidu Rd, Ghola, Karnamadhavpur, Mohispota, West Bengal 700113, India", "lat": "22.71484600", "lng": "88.41618840", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "053931267af79a89791479b18d1b9cde3edcb415", "title": "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0539/31267af79a89791479b18d1b9cde3edcb415.pdf"], "doi": []}, {"id": "e08038b14165536c52ffe950d90d0f43be9c8f15", "title": "Smart Augmentation Learning an Optimal Data Augmentation Strategy", "addresses": [{"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08383.pdf"], "doi": []}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "87147418f863e3d8ff8c97db0b42695a1c28195b", "title": "Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07360.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "09e353946fb6adf1621f33041853c58aecfd183b", "title": "Deep convolutional neural networks-based age and gender classification with facial images", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298719"]}, {"id": "fd6427c8fa27cdce5ac5559d583bad8f13adb23e", "title": "A Review of Face Recognition against Longitudinal Child Faces", "addresses": [{"name": "University of North Carolina Wilmington", "source_name": "University of North Carolina Wilmington", "street_adddress": "Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.23755810", "lng": "-77.92701290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd64/27c8fa27cdce5ac5559d583bad8f13adb23e.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}]} \ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "dataset": {"key": "adience", "name_short": "Adience", "name_display": "Adience Benchmark Dataset", "name_full": "Adience Benchmark", "purpose": "Age and gender estimation", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.openu.ac.il/home/hassner/Adience/data.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "26,580 ", "videos": "", "tracklets": "", "identities": "2,298 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "face recognition, age estimation, gender estimation", "size_gb": "1.34", "agreement": "N", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "key": "adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "pdf": [], "address": {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, "name": "Adience", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "additional_papers": [], "citations": [{"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900141", "http://doi.org/10.1109/ICPR.2016.7900141"]}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "addresses": [{"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "56f86bef26209c85f2ef66ec23b6803d12ca6cd6", "title": "Pyramidal RoR for image classification", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00307.pdf"], "doi": []}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "addresses": [{"name": "Cyprus University of Technology", "source_name": "Cyprus University of Technology", "street_adddress": "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "lat": "34.67567405", "lng": "33.04577648", "type": "edu", "country": "Cyprus"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7998260", "http://doi.org/10.1109/ICT.2017.7998260"]}, {"id": "3e19d36e41a8040df26929f19535e25dcda40d2b", "title": "Analysis of Human Age Estimation Process", "addresses": [{"name": "Maharashtra Institute of Technology, Pune", "source_name": "Maharashtra Institute of Technology, Pune", "street_adddress": "Survey No. 124, MIT College Campus, Paud Rd, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51836710", "lng": "73.81472260", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://www.ijarcce.com/upload/2015/march-15/IJARCCE%2028.pdf"], "doi": ["https://doi.org/10.17148/IJARCCE.2015.4328"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "ca011427853d34ce4ec9ccafde8a70c9eacc3e21", "title": "Deep Learning for Computer Vision: A Brief Review", "addresses": [{"name": "National Technical University of Athens", "source_name": "National Technical University of Athens", "street_adddress": "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.98782705", "lng": "23.73179733", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ca01/1427853d34ce4ec9ccafde8a70c9eacc3e21.pdf"], "doi": []}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "addresses": [{"name": "Babes Bolyai University", "source_name": "Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania", "street_adddress": "Strada Universit\u0103\u021bii 7-9, Cluj-Napoca 400084, Romania", "lat": "46.76779550", "lng": "23.59127620", "type": "edu", "country": "Romania"}, {"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8117018", "http://doi.org/10.1109/ICCP.2017.8117018"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "title": "Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/60dc/35a42ac758c5372c44f3791c951374658609.pdf"], "doi": []}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "24c5b0b2506198bd89d492145b6176a6b1c999e2", "title": "Evaluating gender portrayal in Bangladeshi TV", "addresses": [{"name": "Eastern University", "source_name": "Eastern University", "street_adddress": "Eastern University, Huston Road, Radnor Township, Delaware County, Pennsylvania, 19087, USA", "lat": "40.05056720", "lng": "-75.37109326", "type": "edu", "country": "United States"}, {"name": "Dhaka University", "source_name": "Dhaka University", "street_adddress": "Faculty of Social Welfare, Dhaka University, Azimpur Koborsthan Road, \u09ac\u09b8\u09cd\u09a4\u09bf, \u09b9\u09be\u099c\u09be\u09b0\u09c0\u09ac\u09be\u0997, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1950, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73179150", "lng": "90.38056250", "type": "edu", "country": "Bangladesh"}, {"name": "Khulna University of Engineering & Technology", "source_name": "Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh", "street_adddress": "KUET, Khulna 9203, Bangladesh", "lat": "22.89987610", "lng": "89.50295450", "type": "edu", "country": "Bangladesh"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09728.pdf"], "doi": []}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4646-5", "https://doi.org/10.1007/s11042-017-4646-5"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "addresses": [{"name": "Pontifical Catholic University of Rio de Janeiro", "source_name": "Pontifical Catholic University of Rio de Janeiro", "street_adddress": "R. Marqu\u00eas de S\u00e3o Vicente, 225 - G\u00e1vea, Rio de Janeiro - RJ, 22451-900, Brazil", "lat": "-22.97910740", "lng": "-43.23308250", "type": "edu", "country": "Brazil"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "\u00c9cole de technologie sup\u00e9rieure (\u00c9TS) Montreal, Canada", "source_name": "École de technologie supérieure (ÉTS) Montreal, Canada", "street_adddress": "Montreal, QC, Canada", "lat": "45.50168890", "lng": "-73.56725600", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3236082"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "16820ccfb626dcdc893cc7735784aed9f63cbb70", "title": "Real-time embedded age and gender classification in unconstrained video", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf", "https://ruor.uottawa.ca/bitstream/10393/32463/1/Azarmehr_Ramin_2015_thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301367", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301367", "http://doi.org/10.1109/CVPRW.2015.7301367"]}, {"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "title": "Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "addresses": [{"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080243", "http://doi.org/10.1109/TIFS.2017.2766039"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "458823c4a3be58dc188cf314113b91209017fd3a", "title": "A Fusion-based Gender Recognition Method Using Facial Images", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472550"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "title": "Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "addresses": [{"name": "Chubu University Aichi", "source_name": "Chubu University Aichi, Japan", "street_adddress": "\uff11\uff12\uff10\uff10 Matsumotocho, Kasugai, Aichi Prefecture 487-8501, Japan", "lat": "35.27302300", "lng": "137.01537880", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5fb5/d9389e2a2a4302c81bcfc068a4c8d4efe70c.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "title": "Head pose estimation using learned discretization", "addresses": [{"name": "College of Computing, Georgia Tech", "source_name": "College of Computing, Georgia Tech", "street_adddress": "801 Atlantic Dr NW, Atlanta, GA 30332, USA", "lat": "33.77743490", "lng": "-84.39732080", "type": "edu", "country": "United States"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "Elon University", "source_name": "Elon University", "street_adddress": "Amphitheater, North Antioch Avenue, Elon, Alamance County, North Carolina, 27244, USA", "lat": "36.10179560", "lng": "-79.50173300", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296770", "http://doi.org/10.1109/ICIP.2017.8296770"]}, {"id": "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "title": "Feature extraction for facial age estimation: A survey", "addresses": [{"name": "Uka Tarsadia University", "source_name": "Uka Tarsadia University, Bardoii, India", "street_adddress": "Uka Tarsadia University, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Barodli, Gujarat 394350, India", "lat": "21.06902900", "lng": "73.13322400", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566541"]}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "addresses": [{"name": "Centro Studi S.r.l., Buccino, Italy", "source_name": "Centro Studi S.r.l., Buccino, Italy", "street_adddress": "Via Magaldi, 15, 84021 Buccino SA, Italy", "lat": "40.63521320", "lng": "15.37973390", "type": "edu", "country": "Italy"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169756", "http://doi.org/10.1109/ICMEW.2015.7169756", "https://www.wikidata.org/entity/Q57823671"]}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "addresses": [{"name": "Sichuan Film and Television University", "source_name": "Sichuan Film and Television University, Chengdu, China", "street_adddress": "China, Sichuan, Chengdu, Jinniu, \u91d1\u946b\u5927\u9053\u6c99\u897f\u7ebf9 \u90ae\u653f\u7f16\u7801: 610036", "lat": "30.72405100", "lng": "104.02660600", "type": "edu", "country": "China"}, {"name": "Sichuan Tourism University", "source_name": "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "street_adddress": "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "lat": "30.57890800", "lng": "104.27712000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2024-3"]}, {"id": "eb4151eebd0b7451ca990b242cef8357bfa9db92", "title": "Human Gender Prediction on Facial Images Taken by Mobile Phone using Convolutional Neural Networks", "addresses": [{"name": "Mevlana Universitesi, Konya, Turkey", "source_name": "Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey", "street_adddress": "Ard\u0131\u00e7l\u0131 Mahallesi, \u0130smetpa\u015fa Cad., 42250 Sel\u00e7uklu/Konya, Turkey", "lat": "38.02953300", "lng": "32.50605100", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb41/51eebd0b7451ca990b242cef8357bfa9db92.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "6c0ad77af4c0850bd01bb118e175ecc313476f27", "title": "Extended multi-spectral face recognition across two different age groups: an empirical study", "addresses": [{"name": "Goa University", "source_name": "Goa University, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "NTNU, Norway", "source_name": "NTNU, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010026"]}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "title": "Women Also Snowboard: Overcoming Bias in Captioning Models", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00517.pdf"], "doi": []}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "31ea88f29e7f01a9801648d808f90862e066f9ea", "title": "Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06391.pdf"], "doi": []}, {"id": "cfdc632adcb799dba14af6a8339ca761725abf0a", "title": "Probabilistic Formulations of Regression with Mixed Guidance", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1804.01575.pdf"], "doi": []}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "16d6737b50f969247339a6860da2109a8664198a", "title": "Convolutional Neural Networks for Age and Gender Classification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/16d6/737b50f969247339a6860da2109a8664198a.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "ac9a331327cceda4e23f9873f387c9fd161fad76", "title": "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01664.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298723"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "0c4d42abe48db8d4ef5619031a179a9465b3e0c0", "title": "Automatic Real and Apparent Age Estimation in Still Images", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0c4d/42abe48db8d4ef5619031a179a9465b3e0c0.pdf"], "doi": []}, {"id": "771e27c4b53f58622e6f03788b5102e5e70b1e49", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245865", "http://doi.org/10.1109/TCYB.2017.2782661", "https://www.ncbi.nlm.nih.gov/pubmed/29993966"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "10126b467391e153d36f1a496ef5618097775ad1", "title": "An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA", "addresses": [{"name": "Bangalore Institute of Technology", "source_name": "Bangalore Institute of Technology", "street_adddress": "Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India", "lat": "12.95512590", "lng": "77.57419850", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1012/6b467391e153d36f1a496ef5618097775ad1.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "81fc86e86980a32c47410f0ba7b17665048141ec", "title": "Segment-based Methods for Facial Attribute Detection from Partial Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03546.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "3be8477ef3596f089c74a800a5e5ded500ad67e0", "title": "Grouped Multi-Task CNN for Facial Attribute Recognition", "addresses": [{"name": "Technology Sun Yat-Sen University", "source_name": "Technology Sun Yat-Sen University, Guangzhou, 510006, China", "street_adddress": "135 Xingang W Rd, BinJiang Lu, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China", "lat": "23.09653840", "lng": "113.29888300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545352"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "addresses": [{"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "source_name": "Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "street_adddress": "28359 Bremen, Germany", "lat": "53.10134760", "lng": "8.86116320", "type": "edu", "country": "Germany"}, {"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "6e177341d4412f9c9a639e33e6096344ef930202", "title": "A Gender Recognition System from Facial Image", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}, {"name": "University of Dhaka", "source_name": "University of Dhaka", "street_adddress": "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73169570", "lng": "90.39652750", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf"], "doi": []}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808570"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "title": "Human injected by Botox age estimation based on active shape models, speed up robust features, and support vector machine", "addresses": [{"name": "Mansoura University", "source_name": "Faculty of Computers and Information Sciences, Mansoura University, Egypt", "street_adddress": "Mit Khamis WA Kafr Al Mougi, Mansoura, Dakahlia Governorate, Egypt", "lat": "31.04230430", "lng": "31.35192950", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S1054661816030184"]}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"]}, {"id": "625a8ec3e6cfc5fee0962acf09023b6bb9752ed5", "title": "Video Age Estimation with Multiple Stacked CNN Models", "addresses": [{"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pos.sissa.it/299/021/pdf"], "doi": ["https://doi.org/10.22323/1.299.0021"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "addresses": [{"name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "source_name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "street_adddress": "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "lat": "-35.43542180", "lng": "-71.61999980", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743331"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "29f298dd5f806c99951cb434834bc8dcc765df18", "title": "Computationally efficient template-based face recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/07899837.pdf?attachauth=ANoY7cqfUhcvdFXMZgmlp5F8vpsgnxBsprKKckxy_aZoISF-hkIFI9fOfhgG4xZaMrCeWwTD5mMdnQ2hBZzxR-8V81R3mF4OfAFLYtwdzfrf-KZK0jmORMVmLD_J8Z9xHoxj2DB6UDiAYoDwXFNg06yeoySgY6iT4Pjc_KCaDToyeyrLijivRbrfFOyvuzxfUXyo9lVg9FY0e5H3mdW1NFllFKgxpOFV9Q%3D%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899837", "http://doi.org/10.1109/ICPR.2016.7899837"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "title": "Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a188.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/CNN_Gender_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376610", "http://doi.org/10.1109/SSCI.2015.37"]}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "cf1dc9e3b7ef7f80318a14a1667139a69f404f6f", "title": "Automatic age and gender classification using supervised appearance model", "addresses": [{"name": "University of Bradford", "source_name": "Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK", "street_adddress": "Richmond Rd, Bradford BD7 1DP, UK", "lat": "53.79245230", "lng": "-1.76566170", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://bradscholars.brad.ac.uk/bitstream/handle/10454/8760/Ugail_Journal_of_Electronic_Imaging.pdf;jsessionid=E55C0CC685CC06835220302A31D9329E?sequence=1", "https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-25/issue-06/061605/Automatic-age-and-gender-classification-using-supervised-appearance-model/10.1117/1.JEI.25.6.061605.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.25.6.061605"]}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "title": "Deep learning for fusing multi-sensor person-borne IED data", "addresses": [{"name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH", "source_name": "Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America", "street_adddress": "2241 Avionics Cir, Wright-Patterson AFB, OH 45433 Avionics Cir, Wright-Patterson AFB, OH 45433, USA", "lat": "39.77761470", "lng": "-84.08212350", "type": "mil", "country": "United States"}, {"name": "Black Cat Science Inc., Boston, MA", "source_name": "Black Cat Science Inc., Boston, MA 02467, United States of America", "street_adddress": "Chestnut Hill, MA 02467, USA", "lat": "42.31781980", "lng": "-71.16267560", "type": "company", "country": "United States"}, {"name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "source_name": "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "street_adddress": "27-2 Wright Rd, Hollis, NH 03049, USA", "lat": "42.73887570", "lng": "-71.55718010", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943492"]}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09018.pdf"], "doi": []}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "63a4105adbe182e67d8fd324de5c84a6df444294", "title": "Gender classification by LPQ features from intensity and Monogenic images", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108045"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "9d6e60d49e92361f8f558013065dfa67043dd337", "title": "Applications of Computational Geometry and Computer Vision", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf"], "doi": []}, {"id": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "addresses": [{"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}], "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.pdf"], "doi": ["https://doi.org/10.5815/ijmecs.2015.12.03"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "addresses": [{"name": "University of Campinas (UNICAMP)", "source_name": "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/1077.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913", "http://doi.org/10.1109/SMC.2017.8122913"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "addresses": [{"name": "Visvesvaraya National Institute of Technology Nagpur, India", "source_name": "Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India", "street_adddress": "Near Tennis Court, VNIT College Compount, South Ambazari Road, Nagpur, Maharashtra 440010, India", "lat": "21.12503070", "lng": "79.05235540", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "92d051d4680eb41eb172d23cb8c93eed7677af56", "title": "Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451616", "http://doi.org/10.1109/ICIP.2018.8451616"]}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "addresses": [{"name": "Liverpool University", "source_name": "Liverpool University, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02901.pdf"], "doi": []}, {"id": "60cd4ba089d0b078cdac0db311099493b55624d8", "title": "Local Deep Neural Networks for gender recognition", "addresses": [{"name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "source_name": "I-TEAM, Universidad Polit\u00e9cnica de Valencia, Valencia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n Edificio 8G, Planta 4\u00aa, 46022 Val\u00e8ncia, Spain", "lat": "39.47844400", "lng": "-0.33375450", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/84826/main_plain.pdf?isAllowed=y&sequence=3"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.015"]}, {"id": "13a39916d0459879703ce20f960726c5fb7269f1", "title": "ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00542.pdf"], "doi": []}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "1fe121925668743762ce9f6e157081e087171f4c", "title": "Unsupervised learning of overcomplete face descriptors", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/cvprw2015.pdf", "https://users.aalto.fi/~kannalj1/publications/cvprw2015.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301322", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301322", "http://doi.org/10.1109/CVPRW.2015.7301322"]}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725652"]}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275951", "http://doi.org/10.1109/ICACCI.2015.7275951"]}, {"id": "80d32516b736a38a896898e62f6b3228870b4c67", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://eprints.bbk.ac.uk/18811/1/18811.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2017.01.007"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"], "doi": []}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "017e94ad51c9be864b98c9b75582753ce6ee134f", "title": "Rapid one-shot acquisition of dynamic VR avatars", "addresses": [{"name": "Disney Research, Zurich", "source_name": "Disney Research, CH", "street_adddress": "Disney Research Z\u00fcrich, 48, Stampfenbachstrasse, Unterstrass, Kreis 6, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8006, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.38046850", "lng": "8.54303550", "type": "edu", "country": "Switzerland"}, {"name": "Disney Research, UK", "source_name": "Disney Research, UK", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Walt Disney Imagineering", "source_name": "Walt Disney Imagineering, USA", "street_adddress": "Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA", "lat": "34.16191740", "lng": "-118.28837020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://graphics.ethz.ch/~jebazin/papers/VR_2017_resized.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892240", "http://doi.org/10.1109/VR.2017.7892372", "https://www.wikidata.org/entity/Q57724144"]}, {"id": "00a38ebce124879738b04ffc1536018e75399193", "title": "Convolutional neural network for age classification from smart-phone based ocular images", "addresses": [{"name": "University of Missouri-Kansas City", "source_name": "University of Missouri-Kansas City, MO, USA", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272766", "http://doi.org/10.1109/BTAS.2017.8272766"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "ba0d9e1e8bc798656429fe7121afee672dddb380", "title": "Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01990.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "title": "Deep Reinforcement Learning of Video Games", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/361c/9ba853c7d69058ddc0f32cdbe94fbc2166d5.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "addresses": [{"name": "Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Elektrik-Elektronik M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67476490", "lng": "39.18669250", "type": "edu", "country": "Turkey"}, {"name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.68127590", "lng": "39.19608300", "type": "edu", "country": "Turkey"}, {"name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67747550", "lng": "39.20301210", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090181"]}, {"id": "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "title": "Age and gender classification using local appearance descriptors from facial components", "addresses": [{"name": "Advanced Technologies Application Center, Havana, Cuba", "source_name": "Advanced Technologies Application Center, Siboney Playa, Havana, Cuba", "street_adddress": "Playa, Havana, Cuba", "lat": "23.08862140", "lng": "-82.44819440", "type": "edu", "country": "Cuba"}, {"name": "University of Sassari", "source_name": "University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy", "street_adddress": "Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy", "lat": "40.72401760", "lng": "8.55789470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272773", "http://doi.org/10.1109/BTAS.2017.8272773"]}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430617", "http://doi.org/10.1109/ICCE.2016.7430617"]}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406403", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54", "http://doi.org/10.1109/ICCVW.2015.54"]}, {"id": "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "title": "SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression", "addresses": [{"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05719.pdf"], "doi": []}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}, {"name": "Institute of Engineering & Management, Kolkata", "source_name": "Institute of Engineering & Management, Kolkata", "street_adddress": "Sarojini Naidu Rd, Ghola, Karnamadhavpur, Mohispota, West Bengal 700113, India", "lat": "22.71484600", "lng": "88.41618840", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "1f76b7b071f3e65c97d09720f88d6b0ad9f07e8f", "title": "Identity Mappings in Deep Residual Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05027.pdf"], "doi": []}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "053931267af79a89791479b18d1b9cde3edcb415", "title": "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0539/31267af79a89791479b18d1b9cde3edcb415.pdf"], "doi": []}, {"id": "e08038b14165536c52ffe950d90d0f43be9c8f15", "title": "Smart Augmentation Learning an Optimal Data Augmentation Strategy", "addresses": [{"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08383.pdf"], "doi": []}, {"id": "8fee9b8c44626c4ac6b96ef183394bc4f36dc95f", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "a38168015a783fecc5830260a7eb5b9e3e945ee2", "title": "Deep Networks with Stochastic Depth", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09382.pdf"], "doi": []}, {"id": "87147418f863e3d8ff8c97db0b42695a1c28195b", "title": "Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07360.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "09e353946fb6adf1621f33041853c58aecfd183b", "title": "Deep convolutional neural networks-based age and gender classification with facial images", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298719"]}, {"id": "39539b7fcf1c637b04de84b23dc9c85a8b2f9f40", "title": "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04980.pdf"], "doi": []}, {"id": "fd6427c8fa27cdce5ac5559d583bad8f13adb23e", "title": "A Review of Face Recognition against Longitudinal Child Faces", "addresses": [{"name": "University of North Carolina Wilmington", "source_name": "University of North Carolina Wilmington", "street_adddress": "Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.23755810", "lng": "-77.92701290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd64/27c8fa27cdce5ac5559d583bad8f13adb23e.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}, {"id": "76b06a9a7f16b8004dc9c4dd2d1d0a1aec0acd28", "title": "Zero-shot Domain Adaptation Based on Attribute Information", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Future University Hakodate", "source_name": "Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan", "street_adddress": "\uff11\uff11\uff16-2 Kamedanakanocho, Hakodate, Hokkaido 041-8655, Japan", "lat": "41.84181740", "lng": "140.76696870", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.05312.pdf"], "doi": []}, {"id": "c43d3ad956118ea1d26d39903097e2db86eae822", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/afad.json b/site/datasets/final/afad.json index 0f4b1737..e7110faa 100644 --- a/site/datasets/final/afad.json +++ b/site/datasets/final/afad.json @@ -1 +1 @@ -{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "dataset": {"key": "afad", "name_short": "AFAD", "name_display": "Asian Face Age Dataset", "name_full": "The Asian Face Age Dataset", "purpose": "age estimation on Asian Faces", "comment": "", "created_by": "", "funded_by": "NSFC (Grant Nos. 61432014 and 61402348, and 61503296), the Fundamental Research Funds for the Central Universities (Grant Nos. BDZ021403 and XJJ2015066), the Program for Changjiang Scholars and Innovative Research Team in University of China (No.IRT13088), the Shaanxi Innovative Research Team for Key Science and Technology (No.2012KCT-02), and China Postdoctoral Science Foundation (Grant Nos.2014M562374 and 2015M572563). Dr. Gang Hua is partly supported by NSFC Grant No.61228303.", "funded_by_short": "NSFC, the Fundamental Research Funds for the Central Universities, the Program for Changjiang Scholars and Innovative Research Team in University of China, the Shaanxi Innovative Research Team for Key Science and Technology, and China Postdoctoral Science Foundation", "used_by": "", "license": "", "url": "https://afad-dataset.github.io/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "renren", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2017", "ongoing": "", "images": "164,432 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "63,680 ", "male": "100,752 ", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "age ", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "key": "afad", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "address": "", "name": "AFAD", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "2e56209ed179be641e6df5efd11be8b3d54a62e9", "title": "Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e56/209ed179be641e6df5efd11be8b3d54a62e9.pdf"], "doi": []}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "c48cfef662b39935b4a78ac64d6178870dfbba5e", "title": "Deep Learning Based Approach for Range Estimation", "addresses": [{"name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "source_name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "street_adddress": "Chandipur, Odisha 756025, India", "lat": "21.44331590", "lng": "87.01364630", "type": "mil", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8635069"]}, {"id": "8d07fc18aa55c775760f721be4ace03de2693289", "title": "Attention-based Context Aggregation Network for Monocular Depth Estimation", "addresses": [{"name": "University of Science and Technology", "source_name": "University of Science and Technology, Tehran, Iran", "street_adddress": "Tehran, Tehran Province, Iran", "lat": "35.74247400", "lng": "51.50231030", "type": "edu", "country": "Iran"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10137.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "bd833fc0989c4eb3ffc88713bdfc8d7480132fc4", "title": "Deep Learning for Real-Time Robust Facial Expression Analysis", "addresses": [{"name": "P.G Demidov Yaroslavl State University", "source_name": "P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation", "street_adddress": "Sovetskaya Ulitsa, 14, Yaroslavl', Yaroslavskaya oblast', Russia, 150003", "lat": "57.63279760", "lng": "39.88747600", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220518"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "e3abc96908ed0ba5537802266672d09df530d7f2", "title": "Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04029.pdf"], "doi": []}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "ac9bdf668852dea5fa8ec4262f10562eda9bedd2", "title": "Deep Structured Learning for Facial Expression Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ac9b/df668852dea5fa8ec4262f10562eda9bedd2.pdf"], "doi": []}, {"id": "67ab22dff1c21e8680f94948d80b77314b325d66", "title": "Learning for MultiTask Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/67ab/22dff1c21e8680f94948d80b77314b325d66.pdf"], "doi": []}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "387b54cf6c186c12d83f95df6bd458c5eb1254ee", "title": "Deep probabilities for age estimation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305123", "http://doi.org/10.1109/VCIP.2017.8305123"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "2c461388ce3ab65ecbb5a4d4aab122cb7198c01f", "title": "Preliminary Studies on a Large Face Database", "addresses": [{"name": "North Carolina A&T State University", "source_name": "North Carolina A&T State University, Greensboro, NC 27411, USA", "street_adddress": "120, Gibbs Hall, 1601 E Market St, Greensboro, NC 27411, United States", "lat": "36.07211420", "lng": "-79.77448420", "type": "edu", "country": "United States"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}, {"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622432"]}, {"id": "f775be87ca71180d1cf97d81678f4fd713343e01", "title": "Curriculum Learning for Multi-task Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08728.pdf"], "doi": []}, {"id": "f611f46455ed6ad9af85eeb22e294082dced9bed", "title": "Learning of Visual Attribute Clusters for MultiTask Classification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f611/f46455ed6ad9af85eeb22e294082dced9bed.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "6f98c18e834ba2cea0ad0157b53c34dbcd0c318e", "title": "Happiness level prediction with sequential inputs via multiple regressions", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997636"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "7ad34c3c9647bbfd9e404f802a21fee9e1029f13", "title": "Incremental sparse Bayesian ordinal regression", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06553.pdf"], "doi": []}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "7ed27f10ff2961611bb8604096a64adfa38c9022", "title": "Deep Structured Learning for Facial Action Unit Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04481.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "1bc9aaa41c08bbd0c01dd5d7d7ebf3e48ae78113", "title": "k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1bc9/aaa41c08bbd0c01dd5d7d7ebf3e48ae78113.pdf"], "doi": []}]} \ No newline at end of file +{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "dataset": {"key": "afad", "name_short": "AFAD", "name_display": "Asian Face Age Dataset", "name_full": "The Asian Face Age Dataset", "purpose": "age estimation on Asian Faces", "comment": "", "created_by": "", "funded_by": "NSFC (Grant Nos. 61432014 and 61402348, and 61503296), the Fundamental Research Funds for the Central Universities (Grant Nos. BDZ021403 and XJJ2015066), the Program for Changjiang Scholars and Innovative Research Team in University of China (No.IRT13088), the Shaanxi Innovative Research Team for Key Science and Technology (No.2012KCT-02), and China Postdoctoral Science Foundation (Grant Nos.2014M562374 and 2015M572563). Dr. Gang Hua is partly supported by NSFC Grant No.61228303.", "funded_by_short": "NSFC, the Fundamental Research Funds for the Central Universities, the Program for Changjiang Scholars and Innovative Research Team in University of China, the Shaanxi Innovative Research Team for Key Science and Technology, and China Postdoctoral Science Foundation", "used_by": "", "license": "", "url": "https://afad-dataset.github.io/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "renren", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2017", "ongoing": "", "images": "164,432 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "63,680 ", "male": "100,752 ", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "age ", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "key": "afad", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "address": "", "name": "AFAD", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "2e56209ed179be641e6df5efd11be8b3d54a62e9", "title": "Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e56/209ed179be641e6df5efd11be8b3d54a62e9.pdf"], "doi": []}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "c48cfef662b39935b4a78ac64d6178870dfbba5e", "title": "Deep Learning Based Approach for Range Estimation", "addresses": [{"name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "source_name": "DRDO, Directorate of EOTS Integrated Test Range, Chandipur, India", "street_adddress": "Chandipur, Odisha 756025, India", "lat": "21.44331590", "lng": "87.01364630", "type": "mil", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8635069"]}, {"id": "8d07fc18aa55c775760f721be4ace03de2693289", "title": "Attention-based Context Aggregation Network for Monocular Depth Estimation", "addresses": [{"name": "University of Science and Technology", "source_name": "University of Science and Technology, Tehran, Iran", "street_adddress": "Tehran, Tehran Province, Iran", "lat": "35.74247400", "lng": "51.50231030", "type": "edu", "country": "Iran"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10137.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "bd833fc0989c4eb3ffc88713bdfc8d7480132fc4", "title": "Deep Learning for Real-Time Robust Facial Expression Analysis", "addresses": [{"name": "P.G Demidov Yaroslavl State University", "source_name": "P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation", "street_adddress": "Sovetskaya Ulitsa, 14, Yaroslavl', Yaroslavskaya oblast', Russia, 150003", "lat": "57.63279760", "lng": "39.88747600", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220518"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "e3abc96908ed0ba5537802266672d09df530d7f2", "title": "Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04029.pdf"], "doi": []}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "ac9bdf668852dea5fa8ec4262f10562eda9bedd2", "title": "Deep Structured Learning for Facial Expression Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ac9b/df668852dea5fa8ec4262f10562eda9bedd2.pdf"], "doi": []}, {"id": "67ab22dff1c21e8680f94948d80b77314b325d66", "title": "Learning for MultiTask Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/67ab/22dff1c21e8680f94948d80b77314b325d66.pdf"], "doi": []}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "387b54cf6c186c12d83f95df6bd458c5eb1254ee", "title": "Deep probabilities for age estimation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305123", "http://doi.org/10.1109/VCIP.2017.8305123"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "2c461388ce3ab65ecbb5a4d4aab122cb7198c01f", "title": "Preliminary Studies on a Large Face Database", "addresses": [{"name": "North Carolina A&T State University", "source_name": "North Carolina A&T State University, Greensboro, NC 27411, USA", "street_adddress": "120, Gibbs Hall, 1601 E Market St, Greensboro, NC 27411, United States", "lat": "36.07211420", "lng": "-79.77448420", "type": "edu", "country": "United States"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}, {"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622432"]}, {"id": "f775be87ca71180d1cf97d81678f4fd713343e01", "title": "Curriculum Learning for Multi-task Classification of Visual Attributes", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08728.pdf"], "doi": []}, {"id": "f611f46455ed6ad9af85eeb22e294082dced9bed", "title": "Learning of Visual Attribute Clusters for MultiTask Classification", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University of Ioannina", "source_name": "University of Ioannina", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "39.61623060", "lng": "20.83963011", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f611/f46455ed6ad9af85eeb22e294082dced9bed.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "6f98c18e834ba2cea0ad0157b53c34dbcd0c318e", "title": "Happiness level prediction with sequential inputs via multiple regressions", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997636"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "7ad34c3c9647bbfd9e404f802a21fee9e1029f13", "title": "Incremental sparse Bayesian ordinal regression", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06553.pdf"], "doi": []}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "7ed27f10ff2961611bb8604096a64adfa38c9022", "title": "Deep Structured Learning for Facial Action Unit Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04481.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "cc757b23ab825f56d4612283d9742ea236bcd360", "title": "Ordinal Deep Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8187689"]}, {"id": "1bc9aaa41c08bbd0c01dd5d7d7ebf3e48ae78113", "title": "k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1bc9/aaa41c08bbd0c01dd5d7d7ebf3e48ae78113.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/brainwash.json b/site/datasets/final/brainwash.json index e0d56720..c87bc3f4 100644 --- a/site/datasets/final/brainwash.json +++ b/site/datasets/final/brainwash.json @@ -1 +1 @@ -{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "dataset": {"key": "brainwash", "name_short": "Brainwash", "name_display": "Brainwash Dataset", "name_full": "Brainwash Dataset", "purpose": "Head detection", "comment": "", "created_by": "Stanford University (US), Max Planck Institute for Informatics (DE)", "funded_by": "Max Planck Center for Visual Computing and Communication", "funded_by_short": "Max Planck Center for Visual Computing and Communication", "used_by": "", "license": "", "url": "https://purl.stanford.edu/sx925dc9385", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "cctv_indoor", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "11,917 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "91,146", "female": "", "male": "", "landmarks": "", "width": "640", "height": "480", "color": "Y", "gray": "", "tags": "fd", "size_gb": "4.1", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "key": "brainwash", "title": "End-to-End People Detection in Crowded Scenes", "year": "2016", "pdf": [], "address": {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, "name": "Brainwash", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780624"]}, "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "0d687fb6e1a54abf022990ace6c8f901be9f85e8", "title": "Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "University of Applied Sciences Aschaffenburg", "source_name": "Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany", "street_adddress": "W\u00fcrzburger Str. 45, 63743 Aschaffenburg, Germany", "lat": "49.97119610", "lng": "9.16056230", "type": "edu", "country": "Germany"}, {"name": "University of Kassel", "source_name": "University of Kassel, Kassel, Germany", "street_adddress": "M\u00f6nchebergstra\u00dfe 19, 34125 Kassel, Germany", "lat": "51.32281900", "lng": "9.50735310", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569267"]}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "3a1a70ce6e785d527384f4e138120ce251092caa", "title": "Recurrent Instance Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08250.pdf"], "doi": []}, {"id": "4426c75458a0769d9b157c100f55edf28a09825e", "title": "Humanlike Behavior Generation in Urban Environment Based on Learning-Based Potentials With a Low-Cost Lane Graph", "addresses": [{"name": "Toyota Central R&D Labs, Japan", "source_name": "Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan", "street_adddress": "41\u756a\uff11 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan", "lat": "35.16898430", "lng": "137.05429210", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241707"]}, {"id": "663ab3b9d5c60a49ded3977c8770911d57d754e9", "title": "Deep People Counting with Faster R-CNN and Correlation Tracking", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition, CASIA, Beijing, China", "source_name": "National Laboratory of Pattern Recognition, CASIA, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007745"]}, {"id": "3d24b386d003bee176a942c26336dbe8f427aadd", "title": "Sequential Person Recognition in Photo Albums with a Recurrent Network", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09967.pdf"], "doi": []}, {"id": "a3f4f163e87b28901389e189bb7f0f655995793f", "title": "End-to-End Instance Segmentation and Counting with Recurrent Attention", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f4/f163e87b28901389e189bb7f0f655995793f.pdf"], "doi": []}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "1bcf0868ca925da10f5b902664dd05a783724997", "title": "Attentive Contexts for Object Detection", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792742"]}, {"id": "fcab5a9f26db32982c12fa5b72d22ec205da7c7c", "title": "Semantic Object Parsing with Graph LSTM", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07063.pdf"], "doi": []}, {"id": "84a3478cf884b0cbba480c7c36dab565e778094b", "title": "Learning to detect chest radiographs containing lung nodules using visual attention networks", "addresses": [{"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1712.00996.pdf"], "doi": []}, {"id": "3643559e102e8c2617592583c693f26b36030e33", "title": "A Computer Vision System to Localize and Classify Wastes on the Streets", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.11374.pdf"], "doi": []}, {"id": "63dbeab986260a7e1f04ec585f9aed91fbbd8f40", "title": "Learning to decompose for object detection and instance segmentation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06449.pdf"], "doi": []}, {"id": "6d3c8c5869b512090b1283fba28f01c2748b0ebc", "title": "Recurrent neural networks for object detection in video sequences", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3c/8c5869b512090b1283fba28f01c2748b0ebc.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "00a80e0e64c0b65bd3f19e865dca022e0dbeaa9e", "title": "2D recurrent neural networks: a high-performance tool for robust visual tracking in dynamic scenes", "addresses": [{"name": "University of Plymouth", "source_name": "University of Plymouth", "street_adddress": "Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37525010", "lng": "-4.13927692", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/10087/journal_NCA_revisioni_finali_elements.pdf?isAllowed=n&sequence=1"], "doi": ["https://doi.org/10.1007/s00521-017-3235-x"]}, {"id": "4cd6f20db45cdd3a21c08e1a56754cdf98d070a1", "title": "Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes", "addresses": [{"name": "Taiyuan University of Technology", "source_name": "College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China", "street_adddress": "79 Yingze W St, Wanbailin Qu, Taiyuan Shi, Shanxi Sheng, China, 030024", "lat": "37.86129070", "lng": "112.52292780", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7515214", "http://doi.org/10.1109/LSP.2016.2592689"]}, {"id": "81417cad46f49347d0e678544994f6eed027012a", "title": "Parameter compression of recurrent neural networks and degradation of short-term memory", "addresses": [{"name": "Qualcomm Technologies, Inc., San Diego, United States", "source_name": "Qualcomm Technologies, Inc., San Diego, United States", "street_adddress": "5775 Morehouse Dr, San Diego, CA 92121, USA", "lat": "32.89607560", "lng": "-117.19559840", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965943"]}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}]} \ No newline at end of file +{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "dataset": {"key": "brainwash", "name_short": "Brainwash", "name_display": "Brainwash Dataset", "name_full": "Brainwash Dataset", "purpose": "Head detection", "comment": "", "created_by": "Stanford University (US), Max Planck Institute for Informatics (DE)", "funded_by": "Max Planck Center for Visual Computing and Communication", "funded_by_short": "Max Planck Center for Visual Computing and Communication", "used_by": "", "license": "", "url": "https://purl.stanford.edu/sx925dc9385", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "cctv_indoor", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "11,917 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "91,146", "female": "", "male": "", "landmarks": "", "width": "640", "height": "480", "color": "Y", "gray": "", "tags": "fd", "size_gb": "4.1", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "key": "brainwash", "title": "End-to-End People Detection in Crowded Scenes", "year": "2016", "pdf": [], "address": {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, "name": "Brainwash", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780624"]}, "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "e35515f699b60472ac8f50d1da84fab3c55417d6", "title": "Key Parts Context and Scene Geometry in Human Head Detection", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451832"]}, {"id": "5d5d267416aeb2bbddaf06f703e8683753abdcd0", "title": "Exploiting Multispectral and Contextual Information to Improve Human Detection", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5d5d/267416aeb2bbddaf06f703e8683753abdcd0.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "cab97d4dc67919f965cc884d80e4d6b743a256eb", "title": "Scale Mapping and Dynamic Re-Detecting in Dense Head Detection", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451653"]}, {"id": "8a6665bfe3ad126d84414280ee2f884818560063", "title": "Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation", "addresses": [{"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8a66/65bfe3ad126d84414280ee2f884818560063.pdf"], "doi": []}, {"id": "333880ee776d57555f54935978ccb2ce13cfdb07", "title": "Person classification leveraging Convolutional Neural Network for obstacle avoidance via Unmanned Aerial Vehicles", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8101662"]}, {"id": "f30bdc22fe454a28234cf858d5bf9de94701ee7a", "title": "Adaptive NMS: Refining Pedestrian Detection in a Crowd", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03629.pdf"], "doi": []}, {"id": "976647b32fd7e1a5c8ee4a11792155903bb34e43", "title": "Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359391"]}, {"id": "66a08ff2ea7447093624632e7069e3da16961d30", "title": "An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7605450"]}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "e607b91f69ea2bff3194b07c5d22b4625bbe306e", "title": "Learning to See People Like People : Predicting Social Impressions of Faces", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e607/b91f69ea2bff3194b07c5d22b4625bbe306e.pdf"], "doi": []}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "3e667c54e848233db092b794f2cfbf47ea63b771", "title": "Combined convolutional and recurrent neural networks for hierarchical classification of images", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09574.pdf"], "doi": []}, {"id": "a5c8fc1ca4f06a344b53dc81ebc6d87f54896722", "title": "Learning to see people like people", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04282.pdf"], "doi": []}, {"id": "7a9c2524a157a6b5d0204c2f3b187cd67eb26b4c", "title": "SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478157"]}, {"id": "c7f4e18ec3a805b8aee1d3d7552364c8f5f6ca1d", "title": "An Auto-adaptive CNN for Crowd Counting in Monitor Image", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8525541"]}, {"id": "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "title": "Loss Functions for Multiset Prediction", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05246.pdf"], "doi": []}, {"id": "81ba5202424906f64b77f68afca063658139fbb2", "title": "Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09078.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "1d1a2387663cb3510d6f5c0651c1dc55e48dcabc", "title": "Joint Pedestrian and Body Part Detection via Semantic Relationship Learning", "addresses": [{"name": "Hebei University of Technology", "source_name": "Hebei University of Technology, Tianjin, P. R. China", "street_adddress": "8 Dingzigu 1st Rd, Hongqiao Qu, China, 300131", "lat": "39.17963500", "lng": "117.16588200", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing Information Science and Technology University", "source_name": "Beijing Information Science and Technology University, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u6e05\u6cb3\u56db\u62d4\u5b50", "lat": "40.04332040", "lng": "116.34181090", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1d1a/2387663cb3510d6f5c0651c1dc55e48dcabc.pdf"], "doi": []}, {"id": "91d2f0b7c23239740fa15dff0b5893b992c0ab34", "title": "Sequence-to-Segment Networks for Segment Detection", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/91d2/f0b7c23239740fa15dff0b5893b992c0ab34.pdf"], "doi": []}, {"id": "8e7c647d8e8ba726b03f7e7c5cc395f86b9de9be", "title": "Parsing Pose of People with Interaction", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e7c/647d8e8ba726b03f7e7c5cc395f86b9de9be.pdf"], "doi": []}, {"id": "2f02c1d4858d9c0f5d16099eb090560d5fa4f23f", "title": "Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545068"]}, {"id": "c43c3ec39005aaf1f0ad2f641d92f41021342217", "title": "Pedestrian Detection with Autoregressive Network Phases", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00440.pdf"], "doi": []}, {"id": "e1a784e360f2bf3911cffa30506d46c412659db5", "title": "MetaAnchor: Learning to Detect Objects with Customized Anchors", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00980.pdf"], "doi": []}, {"id": "9da3ade53bf91556fe46828b216aab20a4e72294", "title": "SNc Neuron Detection Method Based on Deep Learning for Efficacy Evaluation of Anti-PD Drugs", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431470"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "eb5780e49ad7e713e9f34cf067d45030fb29753e", "title": "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", "addresses": [{"name": "University Medical Center Utrecht", "source_name": "Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands", "street_adddress": "Vondellaan 94, 3521 GH Utrecht, Netherlands", "lat": "52.07869500", "lng": "5.11974690", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04383.pdf"], "doi": []}, {"id": "54c9343c247ce5a82bc52f83df84c2bbae737ce4", "title": "Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back. (L'apprentissage profond sur graphes attribu\u00e9s: Un voyage aller-retour aux plongements des graphes)", "addresses": [{"name": "INRIA Sophia Antipolis", "source_name": "INRIA Sophia Antipolis Meditérannée, Valbonne, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08296.pdf"], "doi": []}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}, {"id": "d54d0dc1e7ef82f3ed0ee332e0777b6d73477a8c", "title": "Sidewalk-level People Flow Estimation Using Dashboard Cameras Based on Deep Learning", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653595"]}, {"id": "9607f88fe6298f754e3f610c3a587d8e10b1b0a9", "title": "Scene Text Detection with Recurrent Instance Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545073"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "deea683731f468c7234e1089f48c4546e7003b18", "title": "Multi-Task Vehicle Detection With Region-of-Interest Voting", "addresses": [{"name": "Alibaba Group, Hangzhou, China", "source_name": "Alibaba Group, Hangzhou, China", "street_adddress": "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "lat": "30.28106540", "lng": "120.02139087", "type": "edu", "country": "China"}, {"name": "Alibaba, Hangzhou, China", "source_name": "Alibaba, Hangzhou, China", "street_adddress": "699 Wangshang Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China", "lat": "30.18996400", "lng": "120.19210000", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8066331", "http://doi.org/10.1109/TIP.2017.2762591", "https://www.ncbi.nlm.nih.gov/pubmed/29028197", "https://www.wikidata.org/entity/Q50063923"]}, {"id": "1303b3e9f4bffb87b6dd34f7849f7a57e00253d1", "title": "Point in, Box out: Beyond Counting Persons in Crowds", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01333.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "5031a110219231ceaa820725c6e77f87f7b2fde2", "title": "Training with Confusion for Fine-Grained Visual Classification", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5031/a110219231ceaa820725c6e77f87f7b2fde2.pdf"], "doi": []}, {"id": "86c158ef6caaf247d5d14e07c5edded0147df8b7", "title": "Spatial Memory for Context Reasoning in Object Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04224.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}]} \ No newline at end of file diff --git a/site/datasets/final/cuhk_train_station.json b/site/datasets/final/cuhk_train_station.json index 637e8498..f1633844 100644 --- a/site/datasets/final/cuhk_train_station.json +++ b/site/datasets/final/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "dataset": {"key": "cuhk_train_station", "name_short": "CUHK Train Station Dataset", "name_display": "CUHK Train Station Dataset", "name_full": "CUHK Train Station Dataset", "purpose": "Crowd behavior analysis", "comment": "", "created_by": "", "funded_by": "Research Grants Council of Hong Kong (RGC project No. CUHK417110 and CUHK417011) and National Natural Science Foundation of China (project no. 61005057), and by Guangdong Province through Introduced Innovative R&D Team of Guangdong Province 201001D0104648280", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.ee.cuhk.edu.hk/~xgwang/grandcentral.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "key": "cuhk_train_station", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "pdf": [], "address": {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, "name": "CUHK Train Station Dataset", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248013"]}, "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "additional_papers": [], "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "title": "Detecting and indexing moving objects for behavior analysis by video and audio interpretation. (La d\u00e9tection et l'indexation des objets en mouvement pour l'analyse du comportement par vid\u00e9o et audio interpr\u00e9tation)", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/46b7/727ffcb4dc9fc7838e59c84461a2b903038d.pdf"], "doi": []}, {"id": "90c4c8bafe50500312350e73d93eda6e63196832", "title": "Deep trajectory representation-based clustering for motion pattern extraction in videos", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://tahirnawaz.com/papers/2017_AVSS_DeepFeatureBasedTrajectoryClustering_Boyle_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078509", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078509", "http://doi.org/10.1109/AVSS.2017.8078509"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "d257a85d640e6e409f74a7074da078f343b9ec8f", "title": "ViTBAT: Video tracking and behavior annotation tool", "addresses": [{"name": "Washington University in St. Louis", "source_name": "Computer Science and Engineering, Washington University in St. Louis", "street_adddress": "One Brookings Drive, CB 1100, St. Louis, MO 63130, United States", "lat": "38.64906400", "lng": "-90.30219900", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738055"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "0b6256f1d669e6d26075e648da219dc7408797d5", "title": "Crowd behavior understanding through SIOF feature analysis", "addresses": [{"name": "Chengdu University of Information Technology", "source_name": "Chengdu University of Information Technology, Chengdu, China", "street_adddress": "24 Xuefu Rd 1st Section, \u897f\u5357\u822a\u7a7a\u6e2f\u7ecf\u6d4e\u5f00\u53d1\u533a Chengdu Shi, Sichuan Sheng, China, 610225", "lat": "30.58305300", "lng": "103.99106000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082086"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "title": "A novel approach for people counting and tracking from crowd video", "addresses": [{"name": "Yildiz Technical University", "source_name": "Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey", "street_adddress": "Y\u0131ld\u0131z Mh., 34349 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.05208610", "lng": "29.01065530", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001170"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "title": "Crowded Pedestrian Detection and Density Estimation by Visual Words Analysis", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7a47/ac0dda9e15e77d155c5ba425bbfcfad80d97.pdf"], "doi": []}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "title": "Videobasierte Rauchdetektion durch mehrfache Bewegungssch\u00e4tzung und Anpassungen f\u00fcr geringe Rauchdichten", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eeef/24e3d1d7076fd10ae4c7f028b0fa0888fb06.pdf"], "doi": []}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]} \ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "dataset": {"key": "cuhk_train_station", "name_short": "CUHK Train Station Dataset", "name_display": "CUHK Train Station Dataset", "name_full": "CUHK Train Station Dataset", "purpose": "Crowd behavior analysis", "comment": "", "created_by": "", "funded_by": "Research Grants Council of Hong Kong (RGC project No. CUHK417110 and CUHK417011) and National Natural Science Foundation of China (project no. 61005057), and by Guangdong Province through Introduced Innovative R&D Team of Guangdong Province 201001D0104648280", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.ee.cuhk.edu.hk/~xgwang/grandcentral.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "", "indoor": "Y", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "key": "cuhk_train_station", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "pdf": [], "address": {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, "name": "CUHK Train Station Dataset", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248013"]}, "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "additional_papers": [], "citations": [{"id": "3c98a61bbe557b4f4c1655035e4aae43b7152bbe", "title": "Extracting descriptive motion information from crowd scenes", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402493"]}, {"id": "0b78c77c73ecbc07e8deb361e79d97660ce231a5", "title": "Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.jdl.ac.cn/doc/2011/2016119833767489_social%20attribute-aware%20force%20model%20exploiting%20richness%20of%20interaction%20for%20abnormal%20crowd%20detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894168", "http://doi.org/10.1109/TCSVT.2014.2355711"]}, {"id": "46b7727ffcb4dc9fc7838e59c84461a2b903038d", "title": "Detecting and indexing moving objects for behavior analysis by video and audio interpretation. (La d\u00e9tection et l'indexation des objets en mouvement pour l'analyse du comportement par vid\u00e9o et audio interpr\u00e9tation)", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/46b7/727ffcb4dc9fc7838e59c84461a2b903038d.pdf"], "doi": []}, {"id": "90c4c8bafe50500312350e73d93eda6e63196832", "title": "Deep trajectory representation-based clustering for motion pattern extraction in videos", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://tahirnawaz.com/papers/2017_AVSS_DeepFeatureBasedTrajectoryClustering_Boyle_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078509", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078509", "http://doi.org/10.1109/AVSS.2017.8078509"]}, {"id": "f424f6740dcfa7b27b4b5f6adec5f6acd4d6b2a3", "title": "Interactive and adaptive data-driven crowd simulation", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7504685"]}, {"id": "462346f8e30c54a5211589dc99164162e4b1e8e2", "title": "Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://www.iccs-meeting.org/archive/iccs2018/papers/108610100.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-93701-4_8"]}, {"id": "37f35a05733e11cd490897a3c6d906abfe5ce434", "title": "Point-based path prediction from polar histograms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528123"]}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "e678d89c65f715294a9f7d14e32dd1b3ecf50246", "title": "Analyzing motion patterns in crowded scenes via automatic tracklets clustering", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6506940"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "840f2258318d3e339caee706c51c514d156ade8a", "title": "Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738584"]}, {"id": "06ea877e7599c28d043fdbbcb6fe68b032dda008", "title": "Trajectory clustering for motion pattern extraction in aerial videos", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "source_name": "Institute of Networked and Embedded Systems, Alpen-Adria-Universit\u00e4t Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025203"]}, {"id": "0912ea64eb6e1938c421566688b5eafd80d8f968", "title": "A \"semi-lazy\" approach to probabilistic path prediction", "addresses": [{"name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2487609"]}, {"id": "cbf14c7b515fa30b1da1f19e1610582dc7b2932f", "title": "Multi-modal recognition of manipulation activities through visual accelerometer tracking, relational histograms, and user-adaptation", "addresses": [{"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbf1/4c7b515fa30b1da1f19e1610582dc7b2932f.pdf"], "doi": []}, {"id": "2b102276e1d22b517cb482929b8c58db88647d9c", "title": "Kernel density estimation for target trajectory prediction", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7353858"]}, {"id": "aa358f4a0578234e301a305d8c5de8d859083a4c", "title": "Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2014/Discriminative%20Orderlet%20Mining%20For%20Real-time%20Recognition%20of%20Human-Object%20Interaction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/379.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_4"]}, {"id": "26bfabc72c937fd4feddf585b4989407dea90c59", "title": "Learning behavior patterns from video for agent-based crowd modeling and simulation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10458-016-9334-8"]}, {"id": "296642b2aa7f2cad51b04aaa74426122e96f3a9a", "title": "Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930157.pdf", "http://www.varcity.eu/paper/eccv2014_manen_deceptiveness.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01140.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_11", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930157/esm2.PDF"]}, {"id": "9e4f23b76b0eb2cb209faabcc80011a2e12d31a8", "title": "Anchor-based group detection in crowd scenes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952382"]}, {"id": "7c0b4ace044848f8e156e5ec898847a075905495", "title": "Pedestrian group attributes detection in crowded scenes", "addresses": [{"name": "Universiti Teknologi Petronas", "source_name": "Universiti Teknologi PETRONAS", "street_adddress": "UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia", "lat": "4.38304640", "lng": "100.97001540", "type": "edu", "country": "Malaysia"}, {"name": "Umm Al-Qura University", "source_name": "Umm Al-Qura University, Mecca, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0623\u0645\u064a\u0631 \u0633\u0644\u0637\u0627\u0646 \u0628\u0646 \u0639\u0628\u062f \u0627\u0644\u0639\u0632\u064a\u0632\u060c Makkah Saudi Arabia", "lat": "21.32983610", "lng": "39.94888910", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075584", "http://doi.org/10.1109/ATSIP.2017.8075584"]}, {"id": "7e8e7d4901c1c95f6890cee58bf5759e17f3d2e4", "title": "Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition", "addresses": [{"name": "Keele University", "source_name": "Keele University, Staffordshire, United Kingdom", "street_adddress": "Keele, Newcastle ST5 5BG, UK", "lat": "53.00343730", "lng": "-2.27205300", "type": "edu", "country": "United Kingdom"}, {"name": "Kingston University London", "source_name": "Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE", "street_adddress": "Penrhyn Rd, Kingston upon Thames KT1 2EE, UK", "lat": "51.40324310", "lng": "-0.30348820", "type": "edu", "country": "United Kingdom"}, {"name": "Leeds Beckett University", "source_name": "Leeds Beckett University, West Yorkshire, United Kingdom", "street_adddress": "Leeds LS1 3HE, UK", "lat": "53.80364250", "lng": "-1.54742920", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451190"]}, {"id": "a9c9da8f8b4e58cf19cd1fee264f1f05f94f5ac0", "title": "Crowd collectiveness measure via graph-based node clique learning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06170.pdf"], "doi": []}, {"id": "e1c5cc548f3b6ed5e76a24552832705e4fc0aa4e", "title": "Detect coherent motions in crowd scenes based on tracklets association", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351649"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "712d25810688673446202c43bd3d872e72f75bbe", "title": "Cluster-Based Crowd Movement Behavior Detection", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615809"]}, {"id": "64b22e5af5dc07309c85a742728ff6f476bd71d1", "title": "Modeling Collective Crowd Behaviors in Video", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/64b2/2e5af5dc07309c85a742728ff6f476bd71d1.pdf"], "doi": []}, {"id": "1a0e73f5319fe08dc92b049e0e3a82b8d052c741", "title": "Collective Density Clustering for Coherent Motion Detection", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100995", "http://doi.org/10.1109/TMM.2017.2771477"]}, {"id": "c33f02a04c7a7b683480e126230a0487ee0a1358", "title": "Crowded Scene Analysis: A Survey", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6898845"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "7ade8aade0d464ea9a677c7c22a51d1f81edb6e9", "title": "Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ade/8aade0d464ea9a677c7c22a51d1f81edb6e9.pdf"], "doi": []}, {"id": "8ce5a8d409000d65c7d3b98074a3d3c178eb5ee6", "title": "A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3177776"]}, {"id": "865efdda03e296a5936c883b41c916333e008de7", "title": "Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7121003"]}, {"id": "4085520db76eaf952a402d8018dee969d54dbe97", "title": "Trending Paths: A New Semantic-Level Metric for Comparing Simulated and Real Crowd Data", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797248"]}, {"id": "972f59c4b68ce4c911e7df83cb7bcca8b99932fa", "title": "Measuring orderliness based on social force model in collective motions", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706431"]}, {"id": "2637a5d0b677eb3145e5bc484337f99b8486014f", "title": "L0 Regularized Stationary Time Estimation for Crowd Group Analysis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/l0crowda_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yi_L0_Regularized_Stationary_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_dataset_stationaryCrowd.pdf", "http://www.ee.cuhk.edu.hk/~syi/cvpr2014_suppdf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909681", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.284", "http://doi.org/10.1109/CVPR.2014.284"]}, {"id": "d720fc6202edccf9b2d4506d1dc23d509e019b5e", "title": "Forecasting Events Using an Augmented Hidden Conditional Random Field", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/164.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150121085032/Forecasting-Events-using-an-Augmented-Hidden-Conditional-Random-Field-Paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_37"]}, {"id": "b322edcdb9f395d82a6fb4c6c640ec5340a24404", "title": "Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering", "addresses": [{"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b322/edcdb9f395d82a6fb4c6c640ec5340a24404.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "be21cd7fae28f04871ae69e5167fb676ee17a08a", "title": "Motion based Event Analysis", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/be21/cd7fae28f04871ae69e5167fb676ee17a08a.pdf"], "doi": []}, {"id": "e7975261539329e83a4b404c0da177f78c00dbd4", "title": "Counting People Crossing a Line Using Integer Programming and Local Features", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount-app.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/journal/tcsvt16-linecount.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295569", "http://doi.org/10.1109/TCSVT.2015.2489418"]}, {"id": "0b2fd54888fe77ddebdd4eeb53b72dfd1b73a9b8", "title": "Coherent Filtering: Detecting Coherent Motions from Crowd Clutters", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/bzhou/publication/boleieccv2012.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWeccv12.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_61"]}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "00433afe3fbf9aa4ac8a32778f7ab6878f142593", "title": "Crowd Tracking by Group Structure Evolution", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7583654", "http://doi.org/10.1109/TCSVT.2016.2615460"]}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "fa030e4b18e3d19336fdd406790efce04ab49524", "title": "Understanding Collective Activitiesof People from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654151"]}, {"id": "87436afcf6e1d602ae4b72845cb27ae84825ef77", "title": "Modelling Human Movements With Turing Learning", "addresses": [{"name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "source_name": "Modelling, Simulation & Gaming TNO, The Hague, The Netherlands", "street_adddress": "The Hague, Netherlands", "lat": "52.07049780", "lng": "4.30069990", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8628691"]}, {"id": "c229b92d12fc678c05db49b89bb333d1ff563cb6", "title": "An Efficient Method of Crowd Aggregation Computation in Public Areas", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990566"]}, {"id": "966f2106b12d2425185add5666816abf8c834e64", "title": "Localization of region of interest in surveillance scene", "addresses": [{"name": "Haldia Institute of Technology, Haldia, India", "source_name": "Haldia Institute of Technology, Haldia, India", "street_adddress": "P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India", "lat": "22.05059210", "lng": "88.07221260", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Khalifa University", "source_name": "Khalifa University", "street_adddress": "Khalifa University, \u0634\u0627\u0631\u0639 \u0637\u064e\u0648\u0650\u064a \u0645\u064f\u0648\u064e\u064a\u0644\u0650\u062d, \u0642\u0635\u0631 \u0627\u0644\u0634\u0627\u0637\u0626, \u062d\u062f\u0628\u0629 \u0627\u0644\u0632\u0651\u064e\u0639\u0652\u0641\u0631\u0627\u0646\u0629, \u0623\u0628\u0648\u0638\u0628\u064a, \u0623\u0628\u0648 \u0638\u0628\u064a, 31757, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629", "lat": "24.44690250", "lng": "54.39425630", "type": "edu", "country": "United Arab Emirates"}, {"name": "National Institute of Technology, Durgapur", "source_name": "National Institute of Technology, Durgapur, India", "street_adddress": "National Institute Of Technology, Durgapur, Priyadarshini Indira Sarani, Durgapur, B\u0101nkur\u0101, West Bengal, 713209, India", "lat": "23.54869625", "lng": "87.29105712", "type": "edu", "country": "India"}, {"name": "Sookmyung Women\u2019s University", "source_name": "Sookmyung Women\u2019s University, Seoul, Republic of Korea", "street_adddress": "100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea", "lat": "37.54636440", "lng": "126.96483110", "type": "edu", "country": "South Korea"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3762-y"]}, {"id": "d257a85d640e6e409f74a7074da078f343b9ec8f", "title": "ViTBAT: Video tracking and behavior annotation tool", "addresses": [{"name": "Washington University in St. Louis", "source_name": "Computer Science and Engineering, Washington University in St. Louis", "street_adddress": "One Brookings Drive, CB 1100, St. Louis, MO 63130, United States", "lat": "38.64906400", "lng": "-90.30219900", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738055"]}, {"id": "6e084ecb7e88d267ed1f0db7fca90a1c126bd361", "title": "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517342"]}, {"id": "3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f", "title": "Social Signaling Descriptor for Group Behaviour Analysis", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3b1b/a9818e2ee6a54e7ec033c5b2ec8bdbe2935f.pdf"], "doi": []}, {"id": "5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb", "title": "A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5f29/89f2c323a4fb5de8720cdfbbae1887d8e6bb.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "ce9321feeb4239ba69604a6b729abd0dc876f325", "title": "A State-ofthe-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce93/21feeb4239ba69604a6b729abd0dc876f325.pdf"], "doi": []}, {"id": "b2b28eeeaa2b613bf30b5bfee5ec4272ce184bf3", "title": "Measuring Collectiveness via Refined Topological Similarity", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854000"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "0ad6dc4554fd5c0212993677c160af31fd27e243", "title": "Measuring Crowd Collectiveness", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/projects/collectiveness/presentation_cvpr2013.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/final_collectiveness.pdf", "http://people.csail.mit.edu/bzhou/project/cvpr2013/pami.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d049.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Measuring_Crowd_Collectiveness_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang//papers/zhouTWcvpr13.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTZXtpami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.392", "http://doi.org/10.1109/TPAMI.2014.2300484", "https://www.ncbi.nlm.nih.gov/pubmed/26353340", "https://www.wikidata.org/entity/Q50857290"]}, {"id": "806bf27919283dd4db3aef8a64e053ca5052840d", "title": "The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6576843", "http://doi.org/10.1109/TIFS.2013.2277773"]}, {"id": "0b6256f1d669e6d26075e648da219dc7408797d5", "title": "Crowd behavior understanding through SIOF feature analysis", "addresses": [{"name": "Chengdu University of Information Technology", "source_name": "Chengdu University of Information Technology, Chengdu, China", "street_adddress": "24 Xuefu Rd 1st Section, \u897f\u5357\u822a\u7a7a\u6e2f\u7ecf\u6d4e\u5f00\u53d1\u533a Chengdu Shi, Sichuan Sheng, China, 610225", "lat": "30.58305300", "lng": "103.99106000", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082086"]}, {"id": "e9c4c8639dc57f84dd698b91a27d9c30c90923f1", "title": "A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2901382"]}, {"id": "cb733afac3a9a17463645ceda19406a684a19883", "title": "Model-driven multi-target tracking in crowd scenes", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641176"]}, {"id": "afa24eb881c7011e851f8a12dea32a7293cffefa", "title": "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario", "addresses": [{"name": "INESC TEC, Porto, Portugal", "source_name": "INESC TEC, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2282-z", "https://www.wikidata.org/entity/Q57714766"]}, {"id": "259e4aca87b8724b4c9df2315b976237481a1929", "title": "Pedestrian Behavior Understanding and Prediction with Deep Neural Networks", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/259e/4aca87b8724b4c9df2315b976237481a1929.pdf"], "doi": []}, {"id": "46bdfee362a4de978d24d53fd704d64d82273718", "title": "Crowd Tracking with Dynamic Evolution of Group Structures", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Shenzhen, China", "source_name": "Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940139.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_10"]}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "fcdc307dc43d8dfc77b15dd642ece0be4327bc54", "title": "A novel approach for people counting and tracking from crowd video", "addresses": [{"name": "Yildiz Technical University", "source_name": "Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey", "street_adddress": "Y\u0131ld\u0131z Mh., 34349 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.05208610", "lng": "29.01065530", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001170"]}, {"id": "aed274a7e72bdd9250e22d22614b87c8b5bfe8ce", "title": "Profiling stationary crowd groups", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/yiWicme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890138", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890138", "http://doi.org/10.1109/ICME.2014.6890138"]}, {"id": "7a47ac0dda9e15e77d155c5ba425bbfcfad80d97", "title": "Crowded Pedestrian Detection and Density Estimation by Visual Words Analysis", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7a47/ac0dda9e15e77d155c5ba425bbfcfad80d97.pdf"], "doi": []}, {"id": "7653348a68e20f1a85ddcb56fdb6623ab0927ca0", "title": "Detection of Global and Local Motion Changes in Human Crowds", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524675"]}, {"id": "aa47114dd92bc6f2c01f579211ed006a7cb7d650", "title": "Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08391.pdf"], "doi": []}, {"id": "4c4622ae838ce86313c2979c0ebeec077713161e", "title": "A Bayesian Model for Crowd Escape Behavior Detection", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574248", "http://doi.org/10.1109/TCSVT.2013.2276151"]}, {"id": "9bb00be1b904d162a6d3911897f89e93987a8c90", "title": "Understanding Crowd Collectivity : A Meta-Tracking Approach", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bb0/0be1b904d162a6d3911897f89e93987a8c90.pdf"], "doi": []}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "0b6f776c45b6f81cd9f9ae2bb8aca0bc2f541528", "title": "Crowd counting using accumulated HOG", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603465"]}, {"id": "814d60ed249c62314d389e8b8cb7d6794289b647", "title": "Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/814d/60ed249c62314d389e8b8cb7d6794289b647.pdf"], "doi": []}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "eeef24e3d1d7076fd10ae4c7f028b0fa0888fb06", "title": "Videobasierte Rauchdetektion durch mehrfache Bewegungssch\u00e4tzung und Anpassungen f\u00fcr geringe Rauchdichten", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eeef/24e3d1d7076fd10ae4c7f028b0fa0888fb06.pdf"], "doi": []}, {"id": "c68f3b6ab8782427cab32b474a094416e108c1e8", "title": "Crowd Scene Understanding with Coherent Recurrent Neural Networks", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c68f/3b6ab8782427cab32b474a094416e108c1e8.pdf"], "doi": []}, {"id": "4d5d49331c8ff096d6b02c8f84b3da9eede04ab7", "title": "Clustering Trajectories in Heterogeneous Representations for Video Event Detection", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451160"]}, {"id": "20eb15b26bb2da84bba2846d77a9c1b6150e2b72", "title": "Early Detection of Herding Behaviour during Emergency Evacuations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20eb/15b26bb2da84bba2846d77a9c1b6150e2b72.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "a50099f5364d3d4e82991418647c727f0f9c297c", "title": "A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDP7438/_pdf"], "doi": ["http://doi.org/10.1587/transinf.2016EDP7438", "http://search.ieice.org/bin/summary.php?id=e100-d_8_1827"]}]} \ No newline at end of file diff --git a/site/datasets/final/duke_mtmc.json b/site/datasets/final/duke_mtmc.json index 8f44a3ae..65895db7 100644 --- a/site/datasets/final/duke_mtmc.json +++ b/site/datasets/final/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "dataset": {"key": "duke_mtmc", "name_short": "Duke MTMC", "name_display": "Duke MTMC Dataset", "name_full": "Duke Multi-Target, Multi-Camera Tracking Project", "purpose": "Person re-identification, multi-camera tracking", "comment": "DukeMTMC-reID is a subset of DukeMTMC ", "created_by": "Computer Science Department, Duke University, Durham, US", "funded_by": "", "funded_by_short": "", "used_by": "SenseTime, SenseNets, IBM, Chinese National University of Defense, US Dept. of Homeland Security, Tencent, Microsoft, Fraunhofer, Senstar Corp, Alibaba, Naver Labs, Google and Hewlett-Packard Labs, Megvii Inc.", "license": "CC BY-NC-SA 4.0", "url": "http://vision.cs.duke.edu/DukeMTMC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "2,000,000 ", "videos": "", "tracklets": "", "identities": "2,700 ", "img_per_person": "", "num_cameras": "8", "faces_or_persons": "36411", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "ped_detect, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "Berit, wrong number of identities", "derivative_of": "", "": "https://github.com/vana77/DukeMTMC-attribute"}, "paper": {"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "Duke MTMC", "doi": []}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "key": "duke_mtmc", "title": "Improving Person Re-identification by Attribute and Identity Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "key": "duke_mtmc", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "key": "duke_mtmc", "title": "Tracking Multiple People Online and in Real Time", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "address": "", "name": "Duke MTMC", "doi": []}], "citations": [{"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "addresses": [{"name": "Pierre and Marie Curie University", "source_name": "Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}, {"name": "Huaiyin Institute of Technology, Huaian, China", "source_name": "Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China", "street_adddress": "1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002", "lat": "33.54910060", "lng": "119.03570600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "addresses": [{"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "addresses": [{"name": "SenseNets Corporation, Shenzhen, China", "source_name": "Center of Research and Development, SenseNets Corporation, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "addresses": [{"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology, Weihai", "source_name": "Harbin Institute of Technology at Weihai, Weihai, China", "street_adddress": "2 Wenhua W Rd, Huancui Qu, Weihai Shi, Shandong Sheng, China, 264200", "lat": "37.53030100", "lng": "122.08039900", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "XiHua University", "source_name": "XiHua University, Cheng Du", "street_adddress": "Pixian, Chengdu, China", "lat": "30.77862100", "lng": "103.96123600", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "company", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "addresses": [{"name": "Huazhong Univ. of Science and Technology, China", "source_name": "Huazhong Univ. of Science and Technology, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "title": "Wardrobe Model for Long Term Re-identification and Appearance Prediction", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639157"]}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "fb5ae9c218fab5582014d9834d371054e947b9a8", "title": "Identification of pedestrian attributes using deep network", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217493"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "addresses": [{"name": "Senstar Corporation, Waterloo, Canada", "source_name": "Senstar Corporation, Waterloo, Canada", "street_adddress": "595 Parkside Dr, Waterloo, ON N2L 0C7, Canada", "lat": "43.49835030", "lng": "-80.54783820", "type": "company", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "addresses": [{"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "addresses": [{"name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "source_name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Modena", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "e8d16a83e6cb5757523a401bbc338651b5644e26", "title": "Selvamicin, an atypical antifungal polyene from two alternative genomic contexts.", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e8d1/6a83e6cb5757523a401bbc338651b5644e26.pdf"], "doi": []}, {"id": "984eb7e0bdb3cdb3d0ace81c7b182d4917b76efc", "title": "STTR: A System for Tracking All Vehicles All the Time At the Edge of the Network", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210291"]}, {"id": "0c0e26737fbc27d2dc7aab58783b155b009a06cf", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "b3c9b2516d014bc31f859572eda06d135cbcf75e", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "1e3cb57830fde3bb588acbe2784b01e922f031b0", "title": "Pedestrian re-identification based on Tree branch network with local and global learning", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00355.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "29441eac7f2e139ee2771c7bdf9d23191256a461", "title": "Secure Face Unlock: Spoof Detection on Smartphones", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487030"]}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "title": "NormFace: L2 Hypersphere Embedding for Face Verification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06369.pdf"], "doi": []}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "17829aec0f06dc8f45f417e667e3d92eeba923dc", "title": "CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09254.pdf"], "doi": []}, {"id": "cb0a43e76521c57caad5b6e9b1cce6ce0e81824e", "title": "Progressive Learning for Person Re-Identification With One Example", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8607049"]}, {"id": "d36ec4906c9457a43f66f1e1f4c0b6342709541c", "title": "Deep Metric Learning with Online Hard and Soft Selection for Person Re-identification", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641037"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "040c0612e0f006fa93f140ccb97b9738efcf74a5", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "1ba61a4fedc217f7bd052d1b2904567c9985dc44", "title": "Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Narayan_Person_Re-Identification_for_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/MPMCT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014818", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.84", "http://doi.org/10.1109/CVPRW.2017.84"]}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}, {"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "fc2d509a5aae61806feffefe11f23926e834dd39", "title": "Deep MIML Network", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fc2d/509a5aae61806feffefe11f23926e834dd39.pdf"], "doi": []}, {"id": "f8c4959ca67846d0c08f371ee884bb8a0845af1e", "title": "Enhancing Model Performance of Person Re-Indentification on Unknown Target Domain", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663745"]}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "4ba1fd0aef931741f9e7d5711f2a652f76771937", "title": "Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2016/MMM2016_ID65_hwx.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-27671-7_15"]}, {"id": "244293024aebbb0ff42a7cf2ba49b1164697a127", "title": "Multiscale representation for partial face recognition under near infrared illumination", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791187", "http://doi.org/10.1109/BTAS.2016.7791187"]}, {"id": "9a433055551c1f5c670f2a69a57f6aad3a5810d9", "title": "A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03425.pdf"], "doi": []}, {"id": "427aee2aaf7d2d67738b046aea2782f9b8892c68", "title": "Deep Constrained Dominant Sets for Person Re-identification", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11397.pdf"], "doi": []}, {"id": "9bd0e9736478c15585fbc7eab6c597a917627a98", "title": "Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611378"]}, {"id": "59a4cec1afb2804eeff1774c4eb315701443af76", "title": "Relation-Aware Global Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02998.pdf"], "doi": []}, {"id": "4303c361832bfc9cb5adf43d9d9b363077d0ddd9", "title": "Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551541"]}, {"id": "f12e2888e6db23433166db72ff77c448cb6845e8", "title": "GLAD: Global\u2013Local-Alignment Descriptor for Scalable Person Re-Identification", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466034"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}]} \ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "dataset": {"key": "duke_mtmc", "name_short": "Duke MTMC", "name_display": "Duke MTMC Dataset", "name_full": "Duke Multi-Target, Multi-Camera Tracking Project", "purpose": "Person re-identification, multi-camera tracking", "comment": "DukeMTMC-reID is a subset of DukeMTMC ", "created_by": "Computer Science Department, Duke University, Durham, US", "funded_by": "", "funded_by_short": "", "used_by": "SenseTime, SenseNets, IBM, Chinese National University of Defense, US Dept. of Homeland Security, Tencent, Microsoft, Fraunhofer, Senstar Corp, Alibaba, Naver Labs, Google and Hewlett-Packard Labs, Megvii Inc.", "license": "CC BY-NC-SA 4.0", "url": "http://vision.cs.duke.edu/DukeMTMC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "2,000,000 ", "videos": "", "tracklets": "", "identities": "2,700 ", "img_per_person": "", "num_cameras": "8", "faces_or_persons": "36411", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "ped_detect, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "Berit, wrong number of identities", "derivative_of": "", "": "https://github.com/vana77/DukeMTMC-attribute"}, "paper": {"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "Duke MTMC", "doi": []}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "key": "duke_mtmc", "title": "Improving Person Re-identification by Attribute and Identity Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "key": "duke_mtmc", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "key": "duke_mtmc", "title": "Tracking Multiple People Online and in Real Time", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "address": "", "name": "Duke MTMC", "doi": []}], "citations": [{"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "addresses": [{"name": "Pierre and Marie Curie University", "source_name": "Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "9812542cae5a470ea601e7c3a871331694105093", "title": "Person Re-identification by Deep Learning Attribute-Complementary Information", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014920", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.186", "http://doi.org/10.1109/CVPRW.2017.186"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}, {"name": "Huaiyin Institute of Technology, Huaian, China", "source_name": "Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China", "street_adddress": "1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002", "lat": "33.54910060", "lng": "119.03570600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014919", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.185", "http://doi.org/10.1109/CVPRW.2017.185"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "96330777eb14dd6bc31d61b0d7f276083a04e34f", "title": "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8453398"]}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "addresses": [{"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "addresses": [{"name": "SenseNets Corporation, Shenzhen, China", "source_name": "Center of Research and Development, SenseNets Corporation, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "addresses": [{"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology, Weihai", "source_name": "Harbin Institute of Technology at Weihai, Weihai, China", "street_adddress": "2 Wenhua W Rd, Huancui Qu, Weihai Shi, Shandong Sheng, China, 264200", "lat": "37.53030100", "lng": "122.08039900", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "XiHua University", "source_name": "XiHua University, Cheng Du", "street_adddress": "Pixian, Chengdu, China", "lat": "30.77862100", "lng": "103.96123600", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "company", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "addresses": [{"name": "Huazhong Univ. of Science and Technology, China", "source_name": "Huazhong Univ. of Science and Technology, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "76fb9e2963928bf8e940944d45c13d52db947702", "title": "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00478.pdf"], "doi": []}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b717ef0852040fa4bcda8f776d4b8a50400d6d97", "title": "Wardrobe Model for Long Term Re-identification and Appearance Prediction", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639157"]}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "fb5ae9c218fab5582014d9834d371054e947b9a8", "title": "Identification of pedestrian attributes using deep network", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8217493"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "addresses": [{"name": "Senstar Corporation, Waterloo, Canada", "source_name": "Senstar Corporation, Waterloo, Canada", "street_adddress": "595 Parkside Dr, Waterloo, ON N2L 0C7, Canada", "lat": "43.49835030", "lng": "-80.54783820", "type": "company", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "addresses": [{"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "addresses": [{"name": "Dalian University", "source_name": "Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China", "street_adddress": "Jinzhou, Dalian, China", "lat": "39.10041000", "lng": "121.82193200", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.pdf"], "doi": []}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "addresses": [{"name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "source_name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Modena", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "4cb36aea73a328da8ffcdc616407bae3c908aa07", "title": "Re-ranking Person Re-identification with k-Reciprocal Encoding", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08398.pdf"], "doi": []}, {"id": "74bfaacd4e86a1304d2b5e7340591cffb38d84dd", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "e8d16a83e6cb5757523a401bbc338651b5644e26", "title": "Selvamicin, an atypical antifungal polyene from two alternative genomic contexts.", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e8d1/6a83e6cb5757523a401bbc338651b5644e26.pdf"], "doi": []}, {"id": "984eb7e0bdb3cdb3d0ace81c7b182d4917b76efc", "title": "STTR: A System for Tracking All Vehicles All the Time At the Edge of the Network", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210291"]}, {"id": "0c0e26737fbc27d2dc7aab58783b155b009a06cf", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "b3c9b2516d014bc31f859572eda06d135cbcf75e", "title": "Similarity Learning with Listwise Ranking for Person Re-Identification", "addresses": [{"name": "INSA-Lyon, CNRS, LIRIS, Universit\u00e9 Lyon", "source_name": "INSA-Lyon, CNRS, LIRIS, Univ Lyon, Villeurbanne, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Thales Services, ThereSIS, Palaiseau, France", "source_name": "Thales Services, ThereSIS, Palaiseau, France", "street_adddress": "Route D\u00e9partementale, 91120 Palaiseau, France", "lat": "48.71472740", "lng": "2.20270890", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451628"]}, {"id": "1e3cb57830fde3bb588acbe2784b01e922f031b0", "title": "Pedestrian re-identification based on Tree branch network with local and global learning", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.00355.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "15a8f978e54049fe5727bbc0a6098bc6abbab4e2", "title": "Avion 1974-12-09", "addresses": [{"name": "Embry-Riddle Aeronautical University", "source_name": "Embry-Riddle Aeronautical University, Prescott, AZ, USA", "street_adddress": "3700 Willow Creek Rd, Prescott, AZ 86301, USA", "lat": "34.61610420", "lng": "-112.45077110", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a8/f978e54049fe5727bbc0a6098bc6abbab4e2.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "d6126460b1a7034a39e5fdf3cc189dca3001c84a", "title": "VP-ReID: Vehicle and Person Re-Identification System", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206086"]}, {"id": "5f12ca6b863b5bc28f58443ba2b70a102af965bd", "title": "Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09776.pdf"], "doi": []}, {"id": "118e87ee5a8e0faa71b6ca5af6ff38f875132464", "title": "Pose Invariant Embedding for Deep Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07732.pdf"], "doi": []}, {"id": "05f9d47bcc438ffcd4efcc5d77792a7b1984342a", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03768.pdf"], "doi": []}, {"id": "f81f69570113e5171203ac121d1ec1d8b91df4a4", "title": "Local Convolutional Neural Networks for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240645"]}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "a34f8768b10d928aa4f4105afb971819c26a2219", "title": "Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485730"]}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "29441eac7f2e139ee2771c7bdf9d23191256a461", "title": "Secure Face Unlock: Spoof Detection on Smartphones", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487030"]}, {"id": "4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0", "title": "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/PengEtAl_CVPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780515", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.146", "http://doi.org/10.1109/CVPR.2016.146"]}, {"id": "4996e64c24cef33d0f7e5a2b1c3baf00e51493e6", "title": "Deep Relative Distance Learning: Tell the Difference between Similar Vehicles", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.238", "http://doi.org/10.1109/CVPR.2016.238"]}, {"id": "160da454cc64c1117c3a164b9bf375d73fb81720", "title": "Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00370.pdf"], "doi": []}, {"id": "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "title": "NormFace: L2 Hypersphere Embedding for Face Verification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06369.pdf"], "doi": []}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "2161f6b7ee3c0acc81603b01dc0df689683577b9", "title": "End-to-End Deep Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2161/f6b7ee3c0acc81603b01dc0df689683577b9.pdf"], "doi": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "17829aec0f06dc8f45f417e667e3d92eeba923dc", "title": "CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09254.pdf"], "doi": []}, {"id": "cb0a43e76521c57caad5b6e9b1cce6ce0e81824e", "title": "Progressive Learning for Person Re-Identification With One Example", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8607049"]}, {"id": "123478b496a3fa39a9043ccaa660e81c473a14e9", "title": "A Bottom-Up Clustering Approach to Unsupervised Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1234/78b496a3fa39a9043ccaa660e81c473a14e9.pdf"], "doi": []}, {"id": "d36ec4906c9457a43f66f1e1f4c0b6342709541c", "title": "Deep Metric Learning with Online Hard and Soft Selection for Person Re-identification", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641037"]}, {"id": "850d2697fec9c2bb434907db1c0a11e200f32dbe", "title": "Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489450", "http://doi.org/10.1109/IJCNN.2018.8489450"]}, {"id": "424cce55355f2fa4b3c020d56967e1f7b82b1de9", "title": "M 2 M-GAN : Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/424c/ce55355f2fa4b3c020d56967e1f7b82b1de9.pdf"], "doi": []}, {"id": "afc01c33b7dd9de9e5c84c063aaccc4e0c839e74", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "040c0612e0f006fa93f140ccb97b9738efcf74a5", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780518", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.149", "http://doi.org/10.1109/CVPR.2016.149"]}, {"id": "1ba61a4fedc217f7bd052d1b2904567c9985dc44", "title": "Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Narayan_Person_Re-Identification_for_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/MPMCT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014818", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.84", "http://doi.org/10.1109/CVPRW.2017.84"]}, {"id": "8fbb73bc6fb74e119b5fdf02482fa90afb7e443e", "title": "Parts Semantic Segmentation Aware Representation Learning for Person Re-Identification", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}, {"name": "Tianjin University of Technology", "source_name": "Tianjin University of Technology, China", "street_adddress": "Xiqing, China", "lat": "39.06100400", "lng": "117.14202300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8fbb/73bc6fb74e119b5fdf02482fa90afb7e443e.pdf"], "doi": []}, {"id": "57c144f668d11ef7e2c89fdfcf67341a4733dd64", "title": "Unlabeled images Auxiliary reference person images Backbone ResNet \u2010 50 Reference learning", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/57c1/44f668d11ef7e2c89fdfcf67341a4733dd64.pdf"], "doi": []}, {"id": "74e38dfeb5abc7ddf077abc01de90f4d0a49c142", "title": "Omni-directional Feature Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05319.pdf"], "doi": []}, {"id": "65510920d60f23faae27e073c11e4f037c538067", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "de0cfd94d16468cdaaa0fe725e214930587ed8ce", "title": "Scalable Person Re-identification on Supervised Smoothed Manifold", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08359.pdf"], "doi": []}, {"id": "2ff0f94f1a05fb4e6cb906f8b5aa59d50c9754be", "title": "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "addresses": [{"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}, {"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11042.pdf"], "doi": []}, {"id": "b9cc54c5f94371cfc8e79179c20ec559a1a43cbb", "title": "Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01990.pdf"], "doi": []}, {"id": "fc2d509a5aae61806feffefe11f23926e834dd39", "title": "Deep MIML Network", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fc2d/509a5aae61806feffefe11f23926e834dd39.pdf"], "doi": []}, {"id": "f8c4959ca67846d0c08f371ee884bb8a0845af1e", "title": "Enhancing Model Performance of Person Re-Indentification on Unknown Target Domain", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663745"]}, {"id": "b350b567b13ab2b7ba94159767a41917fc38a2cb", "title": "Bag of Tricks and A Strong Baseline for Deep Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07071.pdf"], "doi": []}, {"id": "3e90a70d768415e28fbf0dd56e53f8933784c416", "title": "Highly Efficient Regression for Scalable Person Re-Identification", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01341.pdf"], "doi": []}, {"id": "4ba1fd0aef931741f9e7d5711f2a652f76771937", "title": "Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mmap.whu.edu.cn/wp-content/uploads/publications/2016/MMM2016_ID65_hwx.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-27671-7_15"]}, {"id": "244293024aebbb0ff42a7cf2ba49b1164697a127", "title": "Multiscale representation for partial face recognition under near infrared illumination", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791187", "http://doi.org/10.1109/BTAS.2016.7791187"]}, {"id": "4c903009e7b963f1cd4f02482ea4b242d71e8058", "title": "Camera Adversarial Transfer for Unsupervised Person Re-Identification", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01308.pdf"], "doi": []}, {"id": "9a433055551c1f5c670f2a69a57f6aad3a5810d9", "title": "A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03425.pdf"], "doi": []}, {"id": "427aee2aaf7d2d67738b046aea2782f9b8892c68", "title": "Deep Constrained Dominant Sets for Person Re-identification", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11397.pdf"], "doi": []}, {"id": "9bd0e9736478c15585fbc7eab6c597a917627a98", "title": "Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611378"]}, {"id": "59a4cec1afb2804eeff1774c4eb315701443af76", "title": "Relation-Aware Global Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02998.pdf"], "doi": []}, {"id": "4303c361832bfc9cb5adf43d9d9b363077d0ddd9", "title": "Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551541"]}, {"id": "f12e2888e6db23433166db72ff77c448cb6845e8", "title": "GLAD: Global\u2013Local-Alignment Descriptor for Scalable Person Re-Identification", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466034"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/helen.json b/site/datasets/final/helen.json index f80118a6..dd500fb0 100644 --- a/site/datasets/final/helen.json +++ b/site/datasets/final/helen.json @@ -1 +1 @@ -{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "dataset": {"key": "helen", "name_short": "Helen", "name_display": "Helen Dataset", "name_full": "Helen Dataset", "purpose": "facial feature localization algorithm", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.ifp.illinois.edu/~vuongle2/helen/", "dl_im": "N", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2012", "ongoing": "", "images": "2,330 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "95f12d27c3b4914e0668a268360948bce92f7db3", "key": "helen", "title": "Interactive Facial Feature Localization", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "address": {"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, "name": "Helen", "doi": []}, "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "8875dcf2836315839741fd6944f249263408c27f", "title": "Facial landmark detection via self-adaption model and multi-task feature learning", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877807"]}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "title": "A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3062182"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure Detection for Facial Landmark Detectors", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06451.pdf"], "doi": []}, {"id": "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "title": "Improving Facial Attribute Prediction Using Semantic Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08740.pdf"], "doi": []}, {"id": "d32b155138dafd0a9099980eceec6081ab51b861", "title": "Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03459.pdf"], "doi": []}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "f070d739fb812d38571ec77490ccd8777e95ce7a", "title": "Hierarchical facial landmark localization via cascaded random binary patterns", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://zhzhanp.github.io/papers/PR2015.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.09.007", "https://doi.org/10.1016/j.patcog.2014.09.007"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "5721cd4b898f0e7df8de1e0215f630af94656be9", "title": "Retouch transfer for 3D printed face replica with automatic alignment", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095164"]}, {"id": "9aade3d26996ce7ef6d657130464504b8d812534", "title": "Face Alignment With Deep Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7728148", "http://doi.org/10.1109/TNNLS.2016.2618340", "https://www.ncbi.nlm.nih.gov/pubmed/27831893", "https://www.wikidata.org/entity/Q50550490"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "title": "Simultaneous Cascaded Regression", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018.pdf", "http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451313", "http://doi.org/10.1109/ICIP.2018.8451313"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "addresses": [{"name": "IBM Research T. J. Watson Center", "source_name": "IBM Research T. J. Watson Center, U.S.A", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416197", "http://doi.org/10.1109/LSP.2016.2533721"]}, {"id": "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "title": "Deep Feature Interpolation for Image Content Changes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "George Washington University", "source_name": "George Washington University, USA", "street_adddress": "2121 I St NW, Washington, DC 20052, USA", "lat": "38.89971450", "lng": "-77.04859920", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05507.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "5df17c81c266cf2ebb0778e48e825905e161a8d9", "title": "A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389408", "http://doi.org/10.1109/TMM.2016.2520091"]}, {"id": "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "title": "Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06598.pdf"], "doi": []}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "95e3b78eb4d5b469f66648ed4f37e45e0e01e63e", "title": "Facial point localization via neural networks in a cascade regression framework", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4261-x", "https://doi.org/10.1007/s11042-016-4261-x"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "title": "Real-time face alignment enhancement by tracking", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866457", "http://doi.org/10.1109/ROBIO.2016.7866457"]}, {"id": "b3f18013079e0535dcda045ac5145c201287aec3", "title": "Multi-Label Dilated Recurrent Network for Sequential Face Alignment", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486438", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486438", "http://doi.org/10.1109/ICME.2018.8486438"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961805", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.84", "http://doi.org/10.1109/FG.2017.84"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "title": "Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451200", "http://doi.org/10.1109/ICIP.2018.8451200"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"], "doi": []}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "title": "Semantic facial description via axiomatic Fuzzy Set based clustering", "addresses": [{"name": "Shenyang Aerospace University", "source_name": "College of Automation, Shenyang Aerospace University, China", "street_adddress": "Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016", "lat": "41.76538300", "lng": "123.41744800", "type": "edu", "country": "China"}, {"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382037", "http://doi.org/10.1109/FSKD.2015.7382037"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "837e99301e00c2244023a8a48ff98d7b521c93ac", "title": "Local Feature Evaluation for a Constrained Local Model Framework", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b7b7/4e0ec15c22e1c94406c592bbb83c8e865f52.pdf"], "doi": []}, {"id": "30f6c4bd29b9a8c94f37f3818cf6145c1507826f", "title": "The research of facial features localization based on posterior probability deformable model", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7237861"]}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "4b936847f39094d6cb0bde68cea654d948c4735d", "title": "Face alignment under occlusion based on local and global feature regression", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3470-7", "https://doi.org/10.1007/s11042-016-3470-7"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "992ebd81eb448d1eef846bfc416fc929beb7d28b", "title": "Exemplar-Based Face Parsing Supplementary Material", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/992e/bd81eb448d1eef846bfc416fc929beb7d28b.pdf"], "doi": []}, {"id": "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "title": "Face Completion with Semantic Knowledge and Collaborative Adversarial Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03252.pdf"], "doi": []}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "21f5f65e832c5472d6d08f6ee280d65ff0202e29", "title": "Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and Machine-Learning-Based Approaches", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_44"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "b87b0fa1ac0aad0ca563844daecaeecb2df8debf", "title": "Non-photorealistic rendering of portraits", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2811249"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532567", "http://doi.org/10.1109/ICIP.2016.7532567"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "52d6740dbed1dc39601e5badec0b56021dd6ea5d", "title": "Dynamic Facial Expression Synthesis Driven by Deformable Semantic Parts", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545831"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "e69a765d033ef6ea55c57ca41c146b27964c5cf2", "title": "A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050764", "http://doi.org/10.1109/ISCAS.2017.8050764"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "addresses": [{"name": "CASIA, China", "source_name": "CASIA, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "title": "Effective face landmark localization via single deep network", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02719.pdf"], "doi": []}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "LITIS, Universit\u00e9 de Rouen, Rouen, France", "source_name": "LITIS, Université de Rouen, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"name": "Moulay Ismail University", "source_name": "Moulay Ismail University", "street_adddress": "Marjane 2, BP: 298\u060c Meknes 50050, Morocco", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu", "country": "Morocco"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805097", "http://doi.org/10.1109/CIST.2016.7805097"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "4836b084a583d2e794eb6a94982ea30d7990f663", "title": "Cascaded Face Alignment via Intimacy Definition Feature", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06642.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"], "doi": []}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "fd809ee36fa6832dda57a0a2403b4b52c207549d", "title": "A fully annotated thermal face database and its application for thermal facial expression recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409768"]}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "bab2f4949a38a712a78aafbc0a3c392227c65f56", "title": "Eye detection using gradient histogram matching for cornea localization in refractive eye surgery", "addresses": [{"name": "Southern Taiwan University of Science and Technology", "source_name": "Southern Taiwan University of Science and Technology, Tainan City, Taiwan", "street_adddress": "No. 1\u865f, Nantai Street, Yongkang District, Tainan City, Taiwan 71005", "lat": "23.02545480", "lng": "120.22648860", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302191", "http://doi.org/10.1109/CISP-BMEI.2017.8302191"]}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "11fc332bdcc843aad7475bb4566e73a957dffda5", "title": "SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03356.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "696236fb6f986f6d5565abb01f402d09db68e5fa", "title": "Learning adaptive receptive fields for deep image parsing networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Learning_Adaptive_Receptive_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wei_Learning_Adaptive_Receptive_2017_CVPR_supplemental.pdf"], "doi": ["http://doi.org/10.1007/s41095-018-0112-1", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.420", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099903", "https://doi.org/10.1007/s41095-018-0112-1"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Jiaotong University", "source_name": "Jiaotong University, China", "street_adddress": "Jiaotong University, China, 200000", "lat": "31.19884000", "lng": "121.43256700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "title": "Complex representations for learning statistical shape priors", "addresses": [{"name": "Amazon Research, Berlin", "source_name": "Amazon Research, Berlin, Germany", "street_adddress": "Krausenstra\u00dfe 38, 10117 Berlin, Germany", "lat": "52.50986860", "lng": "13.39845130", "type": "company", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347043.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eusipco_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081394", "http://doi.org/10.23919/EUSIPCO.2017.8081394", "https://doi.org/10.23919/EUSIPCO.2017.8081394"]}, {"id": "1fb980e137b2c9f8781a0d98c026e164b497ddb1", "title": "GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User", "addresses": [{"name": "LMU Munich, Germany", "source_name": "LMU Munich, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Germany and Munich University of Applied Sciences", "source_name": "LMU Munich, Germany and Munich University of Applied Sciences, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3213539"]}, {"id": "2a84f7934365f05b6707ea0ac225210f78e547af", "title": "A joint facial point detection method of deep convolutional network and shape regression", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899690", "http://doi.org/10.1109/ICPR.2016.7899690"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "6ba6045e4b404c44f9b4dfce2d946019f0e85a72", "title": "Facial landmark detection based on an ensemble of local weighted regressors during real driving situation", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899962", "http://doi.org/10.1109/ICPR.2016.7899962"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "266cb58a82ce44ce8f0cffbfa89e44227096f424", "title": "Assessment for facial nerve paralysis based on facial asymmetry", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13246-017-0597-4", "https://www.ncbi.nlm.nih.gov/pubmed/29090419"]}, {"id": "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "title": "Disentangling the Modes of Variation in Unlabelled Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/disentangling-modes-variation.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8214214", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2783940", "http://doi.org/10.1109/TPAMI.2017.2783940", "https://www.ncbi.nlm.nih.gov/pubmed/29990016"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "The University of Texas at Arlington", "source_name": "The University of Texas at Arlington", "street_adddress": "701 W Nedderman Dr, Arlington, TX 76019, USA", "lat": "32.72987180", "lng": "-97.11401160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"], "doi": []}, {"id": "12095f9b35ee88272dd5abc2d942a4f55804b31e", "title": "DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild R\u0131za", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1209/5f9b35ee88272dd5abc2d942a4f55804b31e.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc", "title": "A comparison of facial landmark detection methods", "addresses": [{"name": "Marmara University, Istanbul, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Marmara \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "E\u011fitim Mahallesi, Marmara \u00dcniversitesi M\u00fchendislik Fak\u00fcltesi G\u00f6ztepe Kamp\u00fcs\u00fc, 34722 Kad\u0131k\u00f6y/\u0130stanbul, Turkey", "lat": "40.98690400", "lng": "29.05309810", "type": "edu", "country": "Turkey"}, {"name": "Trakya University, Edirne, Turkey", "source_name": "Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Trakya \u00dcniversitesi, Edirne, T\u00fcrkiye", "street_adddress": "Edirne, Edirne Merkez/Edirne, Turkey", "lat": "41.67712970", "lng": "26.55571450", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404357", "http://doi.org/10.1109/SIU.2018.8404357", "https://doi.org/10.1109/SIU.2018.8404357"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "766728bac030b169fcbc2fbafe24c6e22a58ef3c", "title": "A survey of deep facial landmark detection", "addresses": [{"name": "Universit\u00e9 Clermont Auvergne", "source_name": "Universit\u00e9 Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7667/28bac030b169fcbc2fbafe24c6e22a58ef3c.pdf"], "doi": []}, {"id": "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "title": "Automatic construction Of robust spherical harmonic subspaces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_spherical_harmonics.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298604", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298604", "http://doi.org/10.1109/CVPR.2015.7298604"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06627.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "995d55fdf5b6fe7fb630c93a424700d4bc566104", "title": "The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410537", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.180", "http://doi.org/10.1109/ICCV.2015.180"]}, {"id": "f354cd137fdc40a3ff6a4004f2a052966c275627", "title": "Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining", "addresses": [{"name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies", "source_name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s12559-017-9530-0"]}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "addresses": [{"name": "Institute of Automation Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 3rd St, \u4e2d\u5173\u6751", "lat": "39.97945600", "lng": "116.32845670", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551684"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.02137.pdf"], "doi": []}, {"id": "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "title": "ReenactGAN: Learning to Reenact Faces via Boundary Transfer", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11079.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0", "title": "Driver Facial Landmark Detection in Real Driving Situations", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}, {"name": "Hanbat National University", "source_name": "Instrumentation Engineering, Hanbat National University, Daejeon, Korea", "street_adddress": "125 Dongseo-daero, Deogmyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.35078000", "lng": "127.30119810", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094282", "http://doi.org/10.1109/TCSVT.2017.2769096"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "f1a58bb78149f408471ce166a13cd9176e5edc5b", "title": "Facial Landmark Extraction Scheme Based on Semantic Segmentation", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472730"]}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "title": "Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "Computer Vision Center, UAB, Barcelona, Spain", "source_name": "Computer Vision Center, UAB, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf", "http://sergioescalera.com/wp-content/uploads/2015/07/CVPR2015MoeslundSlides.pdf", "http://vbn.aau.dk/files/210011403/PID3686207.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301341", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301341", "http://doi.org/10.1109/CVPRW.2015.7301341"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "f2d5bb329c09a5867045721112a7dad82ca757a3", "title": "Towards more efficient and flexible face image deblurring using robust salient face landmark detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3009-3", "https://doi.org/10.1007/s11042-015-3009-3"]}, {"id": "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "title": "Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}, {"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "street_adddress": "Messina, Province of Messina, Italy", "lat": "38.19373350", "lng": "15.55420570", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8207589", "http://doi.org/10.1109/TCDS.2017.2783684"]}, {"id": "1966055f13a7475100d18843f85717f312511805", "title": "CG Benefited Driver Facial Landmark Localization Across Large Rotation", "addresses": [{"name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "source_name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "street_adddress": "Binhai, Yancheng, Jiangsu, China", "lat": "33.99033400", "lng": "119.82083000", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500537", "http://doi.org/10.1109/IVS.2018.8500537"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "f25aa838fb44087668206bf3d556d31ffd75235d", "title": "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", "addresses": [{"name": "Villanova University", "source_name": "Villanova University", "street_adddress": "Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA", "lat": "40.03677740", "lng": "-75.34202332", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912038"]}, {"id": "2d1757eb136e9e7ce79363e7acd76d67a053b727", "title": "A Coarse-to-Fine Face Hallucination Method by Exploiting Facial Prior Knowledge", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451122"]}, {"id": "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "title": "Generative Face Completion", "addresses": [{"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05838.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031057", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2750687", "http://doi.org/10.1109/TPAMI.2017.2750687", "https://www.ncbi.nlm.nih.gov/pubmed/28910758"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5810ce61fda464d4de2769bd899e12727bee0382", "title": "Smile detection using Pair-wise Distance Vector and Extreme Learning Machine", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727484", "http://doi.org/10.1109/IJCNN.2016.7727484"]}, {"id": "80ed678ef28ccc1b942e197e0393229cd99d55c8", "title": "Face recognition based on Kinect", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0456-4", "https://doi.org/10.1007/s10044-015-0456-4"]}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "8c048be9dd2b601808b893b5d3d51f00907bdee0", "title": "Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics", "addresses": [{"name": "Christian-Albrechts University", "source_name": "Christian-Albrechts University, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "United States"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1600041"]}, {"id": "9048732c8591a92a1f4f589b520a733f07578f80", "title": "Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301921", "http://doi.org/10.1109/CISP-BMEI.2017.8301921"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "cad2bd940e7580490da9cc739e597d029e166504", "title": "Salient-points-guided face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0555-8"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "88d63a0cc0b8a5303bdef286d6df118bb1d44d26", "title": "Real-time mimicking of estonian speaker's mouth movements on a 3D avatar using Kinect 2", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7354513", "http://doi.org/10.1109/ICTC.2015.7354513"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "ba21fd28003994480f713b0a1276160fea2e89b5", "title": "Identification of Individuals from Ears in Real World Conditions", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba21/fd28003994480f713b0a1276160fea2e89b5.pdf"], "doi": []}, {"id": "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "title": "A fast Cascade Shape Regression Method based on CNN-based Initialization", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546058", "http://doi.org/10.1109/ICPR.2018.8546058"]}, {"id": "08ecc281cdf954e405524287ee5920e7c4fb597e", "title": "Computational Assessment of Facial Expression Production in ASD Children", "addresses": [{"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08ec/c281cdf954e405524287ee5920e7c4fb597e.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "f20ed84abcb1223f351a576ef10dfda9f277326b", "title": "Face recognition based on LBPH and regression of Local Binary features", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846668"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "a7a3ec1128f920066c25cb86fbc33445ce613919", "title": "Joint facial landmark detection and action estimation based on deep probabilistic random forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305115", "http://doi.org/10.1109/VCIP.2017.8305115"]}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "771a6a80dd08212d83a4e976522e1ce108881401", "title": "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820979", "http://doi.org/10.1109/IPTA.2016.7820979"]}, {"id": "7eb85bcb372261bad707c05e496a09609e27fdb3", "title": "A Compute-Efficient Algorithm for Robust Eyebrow Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W17/papers/Sathyanarayana_A_Compute-Efficient_Algorithm_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910051", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.101", "http://doi.org/10.1109/CVPRW.2014.101"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "3bc376f29bc169279105d33f59642568de36f17f", "title": "Active shape models with SIFT descriptors and MARS", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["http://www.dip.ee.uct.ac.za/~nicolls/publish/sm14-visapp.pdf", "http://www.milbo.org/stasm-files/active-shape-models-with-sift-and-mars.pdf", "http://www.scitepress.org/Papers/2014/46800/46800.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294955", "http://doi.org/10.5220/0004680003800387"]}, {"id": "21a2f67b21905ff6e0afa762937427e92dc5aa0b", "title": "Extra Facial Landmark Localization via Global Shape Reconstruction", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28512467", "http://doi.org/10.1155/2017%2F8710492", "https://www.wikidata.org/entity/Q33645492"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"name": "NTT Corporation, Atsugi, Japan", "source_name": "NTT Corporation, Atsugi, Japan", "street_adddress": "3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "company", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967236"]}, {"id": "11ba01ce7d606bab5c2d7e998c6d94325521b8a0", "title": "Regression based landmark estimation and multi-feature fusion for visual speech recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350911", "http://doi.org/10.1109/ICIP.2015.7350911"]}, {"id": "7d1688ce0b48096e05a66ead80e9270260cb8082", "title": "Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors", "addresses": [{"name": "Otto von Guericke University", "source_name": "Otto von Guericke University", "street_adddress": "Otto-von-Guericke-Universit\u00e4t Magdeburg, 2, Universit\u00e4tsplatz, Kr\u00f6kentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland", "lat": "52.14005065", "lng": "11.64471248", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w44/Saxen_Real_vs._Fake_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265574", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.363", "http://doi.org/10.1109/ICCVW.2017.363"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "4848a48a2b8bacd2092e87961cd86818da8e7151", "title": "Comparative evaluation of facial fiducial point detection approaches", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305080", "http://doi.org/10.1109/VCIP.2017.8305080"]}, {"id": "51b42da0706a1260430f27badcf9ee6694768b9b", "title": "Shape initialization without ground truth for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001278.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471882", "http://doi.org/10.1109/ICASSP.2016.7471882", "https://doi.org/10.1109/ICASSP.2016.7471882"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "aa4af9b3811db6a30e1c7cc1ebf079078c1ee152", "title": "Deformable part models with CNN features for facial landmark detection under occlusion", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3129451"]}, {"id": "4e3b71b1aa6b6cb7aa55843d2214441f0076fe69", "title": "Colour-based lips segmentation method using artificial neural networks", "addresses": [{"name": "Mutah University", "source_name": "Mutah University, Karak, Jordan, 61710", "street_adddress": "Street\u060c Mu'tah, Jordan", "lat": "31.09365620", "lng": "35.71737420", "type": "edu", "country": "Jordan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7103225"]}, {"id": "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "title": "Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01453.pdf"], "doi": []}, {"id": "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "title": "Online Eye Status Detection in the Wild with Convolutional Neural Networks", "addresses": [{"name": "University of Central Lancashire", "source_name": "ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.", "street_adddress": "Fylde Rd, Preston PR1 2HE, UK", "lat": "53.76413780", "lng": "-2.70924530", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ef52/f1e2b52fd84a7e22226ed67132c6ce47b829.pdf"], "doi": []}, {"id": "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "title": "Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/287b/7baff99d6995fd5852002488eb44659be6c1.pdf"], "doi": []}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"name": "Firat University", "source_name": "Firat University", "street_adddress": "Erzincan \u00dcniversitesi Hukuk Fak\u00fcltesi Dekanl\u0131\u011f\u0131, Sivas-Erzincan yolu, \u00dc\u00e7konak, Erzincan, Erzincan merkez, Erzincan, Do\u011fu Anadolu B\u00f6lgesi, 24000, T\u00fcrkiye", "lat": "39.72750370", "lng": "39.47127034", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "title": "Facial landmark detection via pose-induced auto-encoder networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351174", "http://doi.org/10.1109/ICIP.2015.7351174"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "d68dbb71b34dfe98dee0680198a23d3b53056394", "title": "VIVA Face-off Challenge : Dataset Creation and Balancing Privacy", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d68d/bb71b34dfe98dee0680198a23d3b53056394.pdf"], "doi": []}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "title": "Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"], "doi": []}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "title": "A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09058.pdf"], "doi": []}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "1f9ae272bb4151817866511bd970bffb22981a49", "title": "An Iterative Regression Approach for Face Pose Estimation from RGB Images", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03170.pdf"], "doi": []}, {"id": "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "title": "Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://doc.utwente.nl/103789/1/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf", "http://eprints.eemcs.utwente.nl/27574/01/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0950-1", "https://doi.org/10.1007/s11263-016-0950-1"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Gannan Normal University", "source_name": "Gannan Normal University, Ganzhou, China", "street_adddress": "Shangxue S Ave, Zhanggong Qu, Ganzhou Shi, Jiangxi Sheng, China", "lat": "25.79552400", "lng": "114.88722700", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006729", "http://doi.org/10.1109/TIP.2015.2390976", "https://www.ncbi.nlm.nih.gov/pubmed/25594969", "https://www.wikidata.org/entity/Q48687759"]}, {"id": "1fe1a78c941e03abe942498249c041b2703fd3d2", "title": "Face alignment based on improved shape searching", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393355", "http://doi.org/10.1109/FSKD.2017.8393355", "https://doi.org/10.1109/FSKD.2017.8393355"]}, {"id": "b7043048b4ba748c9c6317b6d8206192c34f57ff", "title": "Shaping datasets: Optimal data selection for specific target distributions across dimensions", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533061", "http://doi.org/10.1109/ICIP.2016.7533061"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "46b2ecef197b465abc43e0e017543b1af61921ac", "title": "Face alignment with Cascaded Bidirectional LSTM Neural Networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899652", "http://doi.org/10.1109/ICPR.2016.7899652"]}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "8633732d9f787f8497c2696309c7d70176995c15", "title": "Multi-objective convolutional learning for face labeling", "addresses": [{"name": "Baidu Research, USA", "source_name": "Baidu Research, USA", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_face_labeling.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr15_facel_labeling_supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298967", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298967", "http://doi.org/10.1109/CVPR.2015.7298967"]}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "33ad23377eaead8955ed1c2b087a5e536fecf44e", "title": "Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://people.cs.umass.edu/~elm/papers/GLOC.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c019.pdf", "http://vis-www.cs.umass.edu/papers/gloc_cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Kae_Augmenting_CRFs_with_2013_CVPR_paper.pdf", "https://people.cs.umass.edu/~elm/Teaching/670_F13/Kae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619107", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.263", "http://doi.org/10.1109/CVPR.2013.263"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "410ba5b3f4af7c92d3d368faad7a1cc482a7bb70", "title": "Face Detection and Recognition in Color Images under Matlab", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/410b/a5b3f4af7c92d3d368faad7a1cc482a7bb70.pdf"], "doi": []}, {"id": "2a31b4bf2a294b6e67956a6cd5ed6d875af548e0", "title": "Learning Affinity via Spatial Propagation Networks", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01020.pdf"], "doi": []}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "12b3c87b3cb353ec88810c253e986b0e1da17033", "title": "A Novel Face Attribute Segmentation Algorithm", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695576"]}, {"id": "fed318f6ef238a23a51e1384dff8d49e7319ba13", "title": "Top-down sampling convolution network for face segmentation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322867"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "136f92989e982ecf795cb27d65b48464eaec9323", "title": "Joint face alignment and segmentation via deep multi-task learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5609-1"]}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "1ad551c144b05e3aff76e496bccb7943dfa6c50c", "title": "Interactive Tracking for Robot-Assisted Autism Therapy", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Worcester Polytechnic Institute, Worcester, MA, USA", "source_name": "Worcester Polytechnic Institute, Worcester, MA, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3038390"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "385cae408bae950fb5e5ef501bfb6821fa3a9fbe", "title": "Robust face alignment with cascaded coarse-to-fine auto-encoder network", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296527"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "074b6fe0cc6848fb86a6703d1c52074494177c79", "title": "CyCADA: Cycle-Consistent Adversarial Domain Adaptation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03213.pdf"], "doi": []}, {"id": "040af4f3d27947125b7c2ec9935a90023e827b3e", "title": "Enhancing Facial Component Analysis", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3305174"]}, {"id": "f4395f44d9d591aee301d94c7459c5840996f9c8", "title": "Hands and Faces, Fast: Mono-Camera User Detection Robust Enough to Directly Control a UAV in Flight", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593709"]}, {"id": "1ca1846ae7bb83b548cd7da65a73a2ff6cafcdc9", "title": "Progressive Refinement: A Method of Coarse-to-Fine Image Parsing Using Stacked Network", "addresses": [{"name": "Jiangsu University of Science and Technology", "source_name": "Jiangsu University of Science and Technology", "street_adddress": "\u6c5f\u82cf\u79d1\u6280\u5927\u5b66, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212000, \u4e2d\u56fd", "lat": "32.19805500", "lng": "119.46326791", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486489"]}, {"id": "6d247e3b134a36b329edafa67c53f8fed02515a6", "title": "Multi-Layer Progressive Face Alignment by Integrating Global Match and Local Refinement", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6d24/7e3b134a36b329edafa67c53f8fed02515a6.pdf"], "doi": []}, {"id": "46fcf1a1d103c8028b6313d8daec2b57a447a9ca", "title": "A fast online cascaded regression algorithm for face alignment", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04010.pdf"], "doi": []}, {"id": "df53cb2445521a7350cd98a207534795a2a503df", "title": "Photorealistic Face Completion with Semantic Parsing and Face Identity-Preserving Features", "addresses": [{"name": "Guangdong Polytechnic Normal University", "source_name": "Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China", "street_adddress": "Tianhe Park, Tianhe, Guangzhou, China, 510640", "lat": "23.13170700", "lng": "113.37164300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300940"]}, {"id": "df3d85ecf8e326774cab59aab75b572fcf9767cc", "title": "The novel part-based cascaded regression algorithm research combining with pose estimation", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Hainan Tropical Ocean University", "source_name": "College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China", "street_adddress": "Jiyang, Sanya, China", "lat": "18.30806300", "lng": "109.53513600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1610-y"]}, {"id": "771f5b9d54bcb6aa082d01292473233f7def0f53", "title": "Multi-view Facial Landmark Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/771f/5b9d54bcb6aa082d01292473233f7def0f53.pdf"], "doi": []}, {"id": "c6e40cbc1a1bbb6456bc308714d6ec2d0e2b9b34", "title": "Real-Time Facial Feature Extraction Scheme Using Cascaded Networks", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8679316"]}, {"id": "102249fbfc99d1a16b58b99e28b7deab043a35c6", "title": "Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8376028"]}, {"id": "855184c789bca7a56bb223089516d1358823db0b", "title": "Automatic Procedure to Fix Closed-Eyes Image", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8551/84c789bca7a56bb223089516d1358823db0b.pdf"], "doi": []}, {"id": "6d69a1c9e5d12b3f6c3662d225b24a8c8c98e717", "title": "Classification of Volcano-Seismic Signals with Bayesian Neural Networks", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553358"]}, {"id": "2f841ff062053f38725030aa1b77db903dad1efb", "title": "Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets", "addresses": [{"name": "Australian Centre for Field Robotics University of Sydney", "source_name": "Australian Centre for Field Robotics University of Sydney, 2006, Australia", "street_adddress": "Rose Street Bldg, University of Sydney NSW 2006, Australia", "lat": "-33.88994000", "lng": "151.19380470", "type": "edu", "country": "Australia"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907748", "http://doi.org/10.1109/ICRA.2014.6907748"]}]} \ No newline at end of file +{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "dataset": {"key": "helen", "name_short": "Helen", "name_display": "Helen Dataset", "name_full": "Helen Dataset", "purpose": "facial feature localization algorithm", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.ifp.illinois.edu/~vuongle2/helen/", "dl_im": "N", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2012", "ongoing": "", "images": "2,330 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "95f12d27c3b4914e0668a268360948bce92f7db3", "key": "helen", "title": "Interactive Facial Feature Localization", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "address": {"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, "name": "Helen", "doi": []}, "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "8875dcf2836315839741fd6944f249263408c27f", "title": "Facial landmark detection via self-adaption model and multi-task feature learning", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877807"]}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "title": "A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3062182"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure Detection for Facial Landmark Detectors", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06451.pdf"], "doi": []}, {"id": "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "title": "Improving Facial Attribute Prediction Using Semantic Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08740.pdf"], "doi": []}, {"id": "d32b155138dafd0a9099980eceec6081ab51b861", "title": "Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03459.pdf"], "doi": []}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "f070d739fb812d38571ec77490ccd8777e95ce7a", "title": "Hierarchical facial landmark localization via cascaded random binary patterns", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://zhzhanp.github.io/papers/PR2015.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.09.007", "https://doi.org/10.1016/j.patcog.2014.09.007"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "5721cd4b898f0e7df8de1e0215f630af94656be9", "title": "Retouch transfer for 3D printed face replica with automatic alignment", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095164"]}, {"id": "9aade3d26996ce7ef6d657130464504b8d812534", "title": "Face Alignment With Deep Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7728148", "http://doi.org/10.1109/TNNLS.2016.2618340", "https://www.ncbi.nlm.nih.gov/pubmed/27831893", "https://www.wikidata.org/entity/Q50550490"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "title": "Simultaneous Cascaded Regression", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018.pdf", "http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451313", "http://doi.org/10.1109/ICIP.2018.8451313"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "addresses": [{"name": "IBM Research T. J. Watson Center", "source_name": "IBM Research T. J. Watson Center, U.S.A", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416197", "http://doi.org/10.1109/LSP.2016.2533721"]}, {"id": "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "title": "Deep Feature Interpolation for Image Content Changes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "George Washington University", "source_name": "George Washington University, USA", "street_adddress": "2121 I St NW, Washington, DC 20052, USA", "lat": "38.89971450", "lng": "-77.04859920", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05507.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "5df17c81c266cf2ebb0778e48e825905e161a8d9", "title": "A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389408", "http://doi.org/10.1109/TMM.2016.2520091"]}, {"id": "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "title": "Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06598.pdf"], "doi": []}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "95e3b78eb4d5b469f66648ed4f37e45e0e01e63e", "title": "Facial point localization via neural networks in a cascade regression framework", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4261-x", "https://doi.org/10.1007/s11042-016-4261-x"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "title": "Real-time face alignment enhancement by tracking", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866457", "http://doi.org/10.1109/ROBIO.2016.7866457"]}, {"id": "b3f18013079e0535dcda045ac5145c201287aec3", "title": "Multi-Label Dilated Recurrent Network for Sequential Face Alignment", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486438", "http://doi.ieeecomputersociety.org/10.1109/ICME.2018.8486438", "http://doi.org/10.1109/ICME.2018.8486438"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961805", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.84", "http://doi.org/10.1109/FG.2017.84"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "title": "Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451200", "http://doi.org/10.1109/ICIP.2018.8451200"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"], "doi": []}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "title": "Semantic facial description via axiomatic Fuzzy Set based clustering", "addresses": [{"name": "Shenyang Aerospace University", "source_name": "College of Automation, Shenyang Aerospace University, China", "street_adddress": "Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016", "lat": "41.76538300", "lng": "123.41744800", "type": "edu", "country": "China"}, {"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382037", "http://doi.org/10.1109/FSKD.2015.7382037"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "837e99301e00c2244023a8a48ff98d7b521c93ac", "title": "Local Feature Evaluation for a Constrained Local Model Framework", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b7b7/4e0ec15c22e1c94406c592bbb83c8e865f52.pdf"], "doi": []}, {"id": "30f6c4bd29b9a8c94f37f3818cf6145c1507826f", "title": "The research of facial features localization based on posterior probability deformable model", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7237861"]}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "4b936847f39094d6cb0bde68cea654d948c4735d", "title": "Face alignment under occlusion based on local and global feature regression", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3470-7", "https://doi.org/10.1007/s11042-016-3470-7"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "992ebd81eb448d1eef846bfc416fc929beb7d28b", "title": "Exemplar-Based Face Parsing Supplementary Material", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/992e/bd81eb448d1eef846bfc416fc929beb7d28b.pdf"], "doi": []}, {"id": "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "title": "Face Completion with Semantic Knowledge and Collaborative Adversarial Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03252.pdf"], "doi": []}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "21f5f65e832c5472d6d08f6ee280d65ff0202e29", "title": "Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and Machine-Learning-Based Approaches", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70353-4_44"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "b87b0fa1ac0aad0ca563844daecaeecb2df8debf", "title": "Non-photorealistic rendering of portraits", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2811249"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532567", "http://doi.org/10.1109/ICIP.2016.7532567"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "52d6740dbed1dc39601e5badec0b56021dd6ea5d", "title": "Dynamic Facial Expression Synthesis Driven by Deformable Semantic Parts", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545831"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "e69a765d033ef6ea55c57ca41c146b27964c5cf2", "title": "A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050764", "http://doi.org/10.1109/ISCAS.2017.8050764"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "addresses": [{"name": "CASIA, China", "source_name": "CASIA, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "title": "Effective face landmark localization via single deep network", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02719.pdf"], "doi": []}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "LITIS, Universit\u00e9 de Rouen, Rouen, France", "source_name": "LITIS, Université de Rouen, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"name": "Moulay Ismail University", "source_name": "Moulay Ismail University", "street_adddress": "Marjane 2, BP: 298\u060c Meknes 50050, Morocco", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu", "country": "Morocco"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805097", "http://doi.org/10.1109/CIST.2016.7805097"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "4836b084a583d2e794eb6a94982ea30d7990f663", "title": "Cascaded Face Alignment via Intimacy Definition Feature", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06642.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"], "doi": []}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "fd809ee36fa6832dda57a0a2403b4b52c207549d", "title": "A fully annotated thermal face database and its application for thermal facial expression recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409768"]}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "bab2f4949a38a712a78aafbc0a3c392227c65f56", "title": "Eye detection using gradient histogram matching for cornea localization in refractive eye surgery", "addresses": [{"name": "Southern Taiwan University of Science and Technology", "source_name": "Southern Taiwan University of Science and Technology, Tainan City, Taiwan", "street_adddress": "No. 1\u865f, Nantai Street, Yongkang District, Tainan City, Taiwan 71005", "lat": "23.02545480", "lng": "120.22648860", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302191", "http://doi.org/10.1109/CISP-BMEI.2017.8302191"]}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "11fc332bdcc843aad7475bb4566e73a957dffda5", "title": "SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03356.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "696236fb6f986f6d5565abb01f402d09db68e5fa", "title": "Learning adaptive receptive fields for deep image parsing networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Learning_Adaptive_Receptive_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wei_Learning_Adaptive_Receptive_2017_CVPR_supplemental.pdf"], "doi": ["http://doi.org/10.1007/s41095-018-0112-1", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.420", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099903", "https://doi.org/10.1007/s41095-018-0112-1"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Jiaotong University", "source_name": "Jiaotong University, China", "street_adddress": "Jiaotong University, China, 200000", "lat": "31.19884000", "lng": "121.43256700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "title": "Complex representations for learning statistical shape priors", "addresses": [{"name": "Amazon Research, Berlin", "source_name": "Amazon Research, Berlin, Germany", "street_adddress": "Krausenstra\u00dfe 38, 10117 Berlin, Germany", "lat": "52.50986860", "lng": "13.39845130", "type": "company", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347043.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eusipco_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081394", "http://doi.org/10.23919/EUSIPCO.2017.8081394", "https://doi.org/10.23919/EUSIPCO.2017.8081394"]}, {"id": "1fb980e137b2c9f8781a0d98c026e164b497ddb1", "title": "GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User", "addresses": [{"name": "LMU Munich, Germany", "source_name": "LMU Munich, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Germany and Munich University of Applied Sciences", "source_name": "LMU Munich, Germany and Munich University of Applied Sciences, Germany", "street_adddress": "Geschwister-Scholl-Platz 1, 80539 M\u00fcnchen, Germany", "lat": "48.15080600", "lng": "11.58043000", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3213539"]}, {"id": "2a84f7934365f05b6707ea0ac225210f78e547af", "title": "A joint facial point detection method of deep convolutional network and shape regression", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899690", "http://doi.org/10.1109/ICPR.2016.7899690"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "6ba6045e4b404c44f9b4dfce2d946019f0e85a72", "title": "Facial landmark detection based on an ensemble of local weighted regressors during real driving situation", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899962", "http://doi.org/10.1109/ICPR.2016.7899962"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "266cb58a82ce44ce8f0cffbfa89e44227096f424", "title": "Assessment for facial nerve paralysis based on facial asymmetry", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13246-017-0597-4", "https://www.ncbi.nlm.nih.gov/pubmed/29090419"]}, {"id": "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "title": "Disentangling the Modes of Variation in Unlabelled Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/disentangling-modes-variation.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8214214", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2783940", "http://doi.org/10.1109/TPAMI.2017.2783940", "https://www.ncbi.nlm.nih.gov/pubmed/29990016"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "The University of Texas at Arlington", "source_name": "The University of Texas at Arlington", "street_adddress": "701 W Nedderman Dr, Arlington, TX 76019, USA", "lat": "32.72987180", "lng": "-97.11401160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"], "doi": []}, {"id": "12095f9b35ee88272dd5abc2d942a4f55804b31e", "title": "DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild R\u0131za", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1209/5f9b35ee88272dd5abc2d942a4f55804b31e.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc", "title": "A comparison of facial landmark detection methods", "addresses": [{"name": "Marmara University, Istanbul, Turkey", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Marmara \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "E\u011fitim Mahallesi, Marmara \u00dcniversitesi M\u00fchendislik Fak\u00fcltesi G\u00f6ztepe Kamp\u00fcs\u00fc, 34722 Kad\u0131k\u00f6y/\u0130stanbul, Turkey", "lat": "40.98690400", "lng": "29.05309810", "type": "edu", "country": "Turkey"}, {"name": "Trakya University, Edirne, Turkey", "source_name": "Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Trakya \u00dcniversitesi, Edirne, T\u00fcrkiye", "street_adddress": "Edirne, Edirne Merkez/Edirne, Turkey", "lat": "41.67712970", "lng": "26.55571450", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404357", "http://doi.org/10.1109/SIU.2018.8404357", "https://doi.org/10.1109/SIU.2018.8404357"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "766728bac030b169fcbc2fbafe24c6e22a58ef3c", "title": "A survey of deep facial landmark detection", "addresses": [{"name": "Universit\u00e9 Clermont Auvergne", "source_name": "Universit\u00e9 Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7667/28bac030b169fcbc2fbafe24c6e22a58ef3c.pdf"], "doi": []}, {"id": "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "title": "Automatic construction Of robust spherical harmonic subspaces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_spherical_harmonics.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298604", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298604", "http://doi.org/10.1109/CVPR.2015.7298604"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06627.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "995d55fdf5b6fe7fb630c93a424700d4bc566104", "title": "The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410537", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.180", "http://doi.org/10.1109/ICCV.2015.180"]}, {"id": "f354cd137fdc40a3ff6a4004f2a052966c275627", "title": "Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining", "addresses": [{"name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies", "source_name": "Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China", "street_adddress": "38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027", "lat": "30.26394400", "lng": "120.12327900", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s12559-017-9530-0"]}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "addresses": [{"name": "Institute of Automation Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 3rd St, \u4e2d\u5173\u6751", "lat": "39.97945600", "lng": "116.32845670", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551684"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.02137.pdf"], "doi": []}, {"id": "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "title": "ReenactGAN: Learning to Reenact Faces via Boundary Transfer", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11079.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0", "title": "Driver Facial Landmark Detection in Real Driving Situations", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}, {"name": "Hanbat National University", "source_name": "Instrumentation Engineering, Hanbat National University, Daejeon, Korea", "street_adddress": "125 Dongseo-daero, Deogmyeong-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.35078000", "lng": "127.30119810", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094282", "http://doi.org/10.1109/TCSVT.2017.2769096"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "f1a58bb78149f408471ce166a13cd9176e5edc5b", "title": "Facial Landmark Extraction Scheme Based on Semantic Segmentation", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8472730"]}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "title": "Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "Computer Vision Center, UAB, Barcelona, Spain", "source_name": "Computer Vision Center, UAB, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf", "http://sergioescalera.com/wp-content/uploads/2015/07/CVPR2015MoeslundSlides.pdf", "http://vbn.aau.dk/files/210011403/PID3686207.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301341", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301341", "http://doi.org/10.1109/CVPRW.2015.7301341"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "f2d5bb329c09a5867045721112a7dad82ca757a3", "title": "Towards more efficient and flexible face image deblurring using robust salient face landmark detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3009-3", "https://doi.org/10.1007/s11042-015-3009-3"]}, {"id": "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "title": "Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}, {"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "street_adddress": "Messina, Province of Messina, Italy", "lat": "38.19373350", "lng": "15.55420570", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8207589", "http://doi.org/10.1109/TCDS.2017.2783684"]}, {"id": "1966055f13a7475100d18843f85717f312511805", "title": "CG Benefited Driver Facial Landmark Localization Across Large Rotation", "addresses": [{"name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "source_name": "Datang Guoxin Binhai Offshore Wind Power Co., Ltd", "street_adddress": "Binhai, Yancheng, Jiangsu, China", "lat": "33.99033400", "lng": "119.82083000", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500537", "http://doi.org/10.1109/IVS.2018.8500537"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "f25aa838fb44087668206bf3d556d31ffd75235d", "title": "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", "addresses": [{"name": "Villanova University", "source_name": "Villanova University", "street_adddress": "Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA", "lat": "40.03677740", "lng": "-75.34202332", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912038"]}, {"id": "2d1757eb136e9e7ce79363e7acd76d67a053b727", "title": "A Coarse-to-Fine Face Hallucination Method by Exploiting Facial Prior Knowledge", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451122"]}, {"id": "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "title": "Generative Face Completion", "addresses": [{"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05838.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031057", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2750687", "http://doi.org/10.1109/TPAMI.2017.2750687", "https://www.ncbi.nlm.nih.gov/pubmed/28910758"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5810ce61fda464d4de2769bd899e12727bee0382", "title": "Smile detection using Pair-wise Distance Vector and Extreme Learning Machine", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727484", "http://doi.org/10.1109/IJCNN.2016.7727484"]}, {"id": "80ed678ef28ccc1b942e197e0393229cd99d55c8", "title": "Face recognition based on Kinect", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0456-4", "https://doi.org/10.1007/s10044-015-0456-4"]}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "8c048be9dd2b601808b893b5d3d51f00907bdee0", "title": "Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics", "addresses": [{"name": "Christian-Albrechts University", "source_name": "Christian-Albrechts University, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "United States"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1600041"]}, {"id": "9048732c8591a92a1f4f589b520a733f07578f80", "title": "Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301921", "http://doi.org/10.1109/CISP-BMEI.2017.8301921"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "cad2bd940e7580490da9cc739e597d029e166504", "title": "Salient-points-guided face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0555-8"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "88d63a0cc0b8a5303bdef286d6df118bb1d44d26", "title": "Real-time mimicking of estonian speaker's mouth movements on a 3D avatar using Kinect 2", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7354513", "http://doi.org/10.1109/ICTC.2015.7354513"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "ba21fd28003994480f713b0a1276160fea2e89b5", "title": "Identification of Individuals from Ears in Real World Conditions", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba21/fd28003994480f713b0a1276160fea2e89b5.pdf"], "doi": []}, {"id": "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "title": "A fast Cascade Shape Regression Method based on CNN-based Initialization", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546058", "http://doi.org/10.1109/ICPR.2018.8546058"]}, {"id": "08ecc281cdf954e405524287ee5920e7c4fb597e", "title": "Computational Assessment of Facial Expression Production in ASD Children", "addresses": [{"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08ec/c281cdf954e405524287ee5920e7c4fb597e.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "f20ed84abcb1223f351a576ef10dfda9f277326b", "title": "Face recognition based on LBPH and regression of Local Binary features", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846668"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "a7a3ec1128f920066c25cb86fbc33445ce613919", "title": "Joint facial landmark detection and action estimation based on deep probabilistic random forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305115", "http://doi.org/10.1109/VCIP.2017.8305115"]}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "771a6a80dd08212d83a4e976522e1ce108881401", "title": "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820979", "http://doi.org/10.1109/IPTA.2016.7820979"]}, {"id": "7eb85bcb372261bad707c05e496a09609e27fdb3", "title": "A Compute-Efficient Algorithm for Robust Eyebrow Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W17/papers/Sathyanarayana_A_Compute-Efficient_Algorithm_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910051", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.101", "http://doi.org/10.1109/CVPRW.2014.101"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "3bc376f29bc169279105d33f59642568de36f17f", "title": "Active shape models with SIFT descriptors and MARS", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["http://www.dip.ee.uct.ac.za/~nicolls/publish/sm14-visapp.pdf", "http://www.milbo.org/stasm-files/active-shape-models-with-sift-and-mars.pdf", "http://www.scitepress.org/Papers/2014/46800/46800.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294955", "http://doi.org/10.5220/0004680003800387"]}, {"id": "21a2f67b21905ff6e0afa762937427e92dc5aa0b", "title": "Extra Facial Landmark Localization via Global Shape Reconstruction", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28512467", "http://doi.org/10.1155/2017%2F8710492", "https://www.wikidata.org/entity/Q33645492"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"name": "NTT Corporation, Atsugi, Japan", "source_name": "NTT Corporation, Atsugi, Japan", "street_adddress": "3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "company", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967236"]}, {"id": "11ba01ce7d606bab5c2d7e998c6d94325521b8a0", "title": "Regression based landmark estimation and multi-feature fusion for visual speech recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350911", "http://doi.org/10.1109/ICIP.2015.7350911"]}, {"id": "7d1688ce0b48096e05a66ead80e9270260cb8082", "title": "Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors", "addresses": [{"name": "Otto von Guericke University", "source_name": "Otto von Guericke University", "street_adddress": "Otto-von-Guericke-Universit\u00e4t Magdeburg, 2, Universit\u00e4tsplatz, Kr\u00f6kentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland", "lat": "52.14005065", "lng": "11.64471248", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w44/Saxen_Real_vs._Fake_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265574", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.363", "http://doi.org/10.1109/ICCVW.2017.363"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "4848a48a2b8bacd2092e87961cd86818da8e7151", "title": "Comparative evaluation of facial fiducial point detection approaches", "addresses": [{"name": "Federal University of Campina Grande", "source_name": "Federal University of Campina Grande, Paraiba, Brazil", "street_adddress": "R. Apr\u00edgio Veloso, 882 - Universit\u00e1rio, Campina Grande - PB, 58429-900, Brazil", "lat": "-7.21713680", "lng": "-35.90975430", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305080", "http://doi.org/10.1109/VCIP.2017.8305080"]}, {"id": "51b42da0706a1260430f27badcf9ee6694768b9b", "title": "Shape initialization without ground truth for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001278.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471882", "http://doi.org/10.1109/ICASSP.2016.7471882", "https://doi.org/10.1109/ICASSP.2016.7471882"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "aa4af9b3811db6a30e1c7cc1ebf079078c1ee152", "title": "Deformable part models with CNN features for facial landmark detection under occlusion", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3129451"]}, {"id": "4e3b71b1aa6b6cb7aa55843d2214441f0076fe69", "title": "Colour-based lips segmentation method using artificial neural networks", "addresses": [{"name": "Mutah University", "source_name": "Mutah University, Karak, Jordan, 61710", "street_adddress": "Street\u060c Mu'tah, Jordan", "lat": "31.09365620", "lng": "35.71737420", "type": "edu", "country": "Jordan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7103225"]}, {"id": "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "title": "Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01453.pdf"], "doi": []}, {"id": "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "title": "Online Eye Status Detection in the Wild with Convolutional Neural Networks", "addresses": [{"name": "University of Central Lancashire", "source_name": "ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.", "street_adddress": "Fylde Rd, Preston PR1 2HE, UK", "lat": "53.76413780", "lng": "-2.70924530", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ef52/f1e2b52fd84a7e22226ed67132c6ce47b829.pdf"], "doi": []}, {"id": "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "title": "Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/287b/7baff99d6995fd5852002488eb44659be6c1.pdf"], "doi": []}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"name": "Firat University", "source_name": "Firat University", "street_adddress": "Erzincan \u00dcniversitesi Hukuk Fak\u00fcltesi Dekanl\u0131\u011f\u0131, Sivas-Erzincan yolu, \u00dc\u00e7konak, Erzincan, Erzincan merkez, Erzincan, Do\u011fu Anadolu B\u00f6lgesi, 24000, T\u00fcrkiye", "lat": "39.72750370", "lng": "39.47127034", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "title": "Facial landmark detection via pose-induced auto-encoder networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351174", "http://doi.org/10.1109/ICIP.2015.7351174"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "d68dbb71b34dfe98dee0680198a23d3b53056394", "title": "VIVA Face-off Challenge : Dataset Creation and Balancing Privacy", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d68d/bb71b34dfe98dee0680198a23d3b53056394.pdf"], "doi": []}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "title": "Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"], "doi": []}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "title": "A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09058.pdf"], "doi": []}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "1f9ae272bb4151817866511bd970bffb22981a49", "title": "An Iterative Regression Approach for Face Pose Estimation from RGB Images", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03170.pdf"], "doi": []}, {"id": "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "title": "Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://doc.utwente.nl/103789/1/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf", "http://eprints.eemcs.utwente.nl/27574/01/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0950-1", "https://doi.org/10.1007/s11263-016-0950-1"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Gannan Normal University", "source_name": "Gannan Normal University, Ganzhou, China", "street_adddress": "Shangxue S Ave, Zhanggong Qu, Ganzhou Shi, Jiangxi Sheng, China", "lat": "25.79552400", "lng": "114.88722700", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006729", "http://doi.org/10.1109/TIP.2015.2390976", "https://www.ncbi.nlm.nih.gov/pubmed/25594969", "https://www.wikidata.org/entity/Q48687759"]}, {"id": "1fe1a78c941e03abe942498249c041b2703fd3d2", "title": "Face alignment based on improved shape searching", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393355", "http://doi.org/10.1109/FSKD.2017.8393355", "https://doi.org/10.1109/FSKD.2017.8393355"]}, {"id": "b7043048b4ba748c9c6317b6d8206192c34f57ff", "title": "Shaping datasets: Optimal data selection for specific target distributions across dimensions", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533061", "http://doi.org/10.1109/ICIP.2016.7533061"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "46b2ecef197b465abc43e0e017543b1af61921ac", "title": "Face alignment with Cascaded Bidirectional LSTM Neural Networks", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899652", "http://doi.org/10.1109/ICPR.2016.7899652"]}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "8fa15d1f161097109eb3dcd629ee8fc423557230", "title": "The iBUG Eye Segmentation Dataset", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8fa1/5d1f161097109eb3dcd629ee8fc423557230.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "8633732d9f787f8497c2696309c7d70176995c15", "title": "Multi-objective convolutional learning for face labeling", "addresses": [{"name": "Baidu Research, USA", "source_name": "Baidu Research, USA", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_face_labeling.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr15_facel_labeling_supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298967", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298967", "http://doi.org/10.1109/CVPR.2015.7298967"]}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "2dd3dff173686d66af70e7180fabd8755dd1307d", "title": "Coupling detection and data association for multiple object tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/courses/CAP6412/Spring2013/papers/Wu-tracking-CVPR2012.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012-gray.pdf", "http://cs-people.bu.edu/wuzheng/research/publication/CVPR2012.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-CVPR-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247896", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247896", "http://doi.org/10.1109/CVPR.2012.6247896"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "33ad23377eaead8955ed1c2b087a5e536fecf44e", "title": "Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://people.cs.umass.edu/~elm/papers/GLOC.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c019.pdf", "http://vis-www.cs.umass.edu/papers/gloc_cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Kae_Augmenting_CRFs_with_2013_CVPR_paper.pdf", "https://people.cs.umass.edu/~elm/Teaching/670_F13/Kae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619107", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.263", "http://doi.org/10.1109/CVPR.2013.263"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "410ba5b3f4af7c92d3d368faad7a1cc482a7bb70", "title": "Face Detection and Recognition in Color Images under Matlab", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/410b/a5b3f4af7c92d3d368faad7a1cc482a7bb70.pdf"], "doi": []}, {"id": "2a31b4bf2a294b6e67956a6cd5ed6d875af548e0", "title": "Learning Affinity via Spatial Propagation Networks", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01020.pdf"], "doi": []}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "12b3c87b3cb353ec88810c253e986b0e1da17033", "title": "A Novel Face Attribute Segmentation Algorithm", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695576"]}, {"id": "fed318f6ef238a23a51e1384dff8d49e7319ba13", "title": "Top-down sampling convolution network for face segmentation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322867"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "060231e8f450eb7c212814f67bca97a1c310e8a2", "title": "Efficient Face Image Deblurring via Robust Face Salient Landmark Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.springer.com/cda/content/document/cda_downloaddocument/9783319240749-c2.pdf?SGWID=0-0-45-1544751-p177697434"], "doi": ["https://doi.org/10.1007/978-3-319-24075-6_2"]}, {"id": "136f92989e982ecf795cb27d65b48464eaec9323", "title": "Joint face alignment and segmentation via deep multi-task learning", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5609-1"]}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "1ad551c144b05e3aff76e496bccb7943dfa6c50c", "title": "Interactive Tracking for Robot-Assisted Autism Therapy", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Worcester Polytechnic Institute, Worcester, MA, USA", "source_name": "Worcester Polytechnic Institute, Worcester, MA, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3038390"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "94eb1a33bbe1a1a04167e9cab2a3329037c69133", "title": "Robust Arm and Hand Tracking by Unsupervised Context Learning", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/94eb/1a33bbe1a1a04167e9cab2a3329037c69133.pdf"], "doi": []}, {"id": "385cae408bae950fb5e5ef501bfb6821fa3a9fbe", "title": "Robust face alignment with cascaded coarse-to-fine auto-encoder network", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296527"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "da0142ec5264942315bd487d3ffb35096bde81ad", "title": "A high-fidelity multiresolution digital elevation model for Earth systems", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/da01/42ec5264942315bd487d3ffb35096bde81ad.pdf"], "doi": []}, {"id": "074b6fe0cc6848fb86a6703d1c52074494177c79", "title": "CyCADA: Cycle-Consistent Adversarial Domain Adaptation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03213.pdf"], "doi": []}, {"id": "19d2b7008857413680af1dd4259865d7e538cb1b", "title": "Robust real-time hands-and-face detection for human robot interaction", "addresses": [{"name": "Universit\u00e9 de Bourgogne", "source_name": "Universit\u00e9 de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France", "street_adddress": "Maison de l'universit\u00e9, Espl. Erasme, 21078 Dijon, France", "lat": "47.31290700", "lng": "5.06606800", "type": "edu", "country": "France"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/19d2/b7008857413680af1dd4259865d7e538cb1b.pdf"], "doi": []}, {"id": "040af4f3d27947125b7c2ec9935a90023e827b3e", "title": "Enhancing Facial Component Analysis", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3305174"]}, {"id": "f4395f44d9d591aee301d94c7459c5840996f9c8", "title": "Hands and Faces, Fast: Mono-Camera User Detection Robust Enough to Directly Control a UAV in Flight", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593709"]}, {"id": "1ca1846ae7bb83b548cd7da65a73a2ff6cafcdc9", "title": "Progressive Refinement: A Method of Coarse-to-Fine Image Parsing Using Stacked Network", "addresses": [{"name": "Jiangsu University of Science and Technology", "source_name": "Jiangsu University of Science and Technology", "street_adddress": "\u6c5f\u82cf\u79d1\u6280\u5927\u5b66, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212000, \u4e2d\u56fd", "lat": "32.19805500", "lng": "119.46326791", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486489"]}, {"id": "73ba2fcbbdb59df6bf3f8f0c1adb7b94098bfc6a", "title": "Weakly-supervised Caricature Face Parsing through Domain Adaptation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.05091.pdf"], "doi": []}, {"id": "6d247e3b134a36b329edafa67c53f8fed02515a6", "title": "Multi-Layer Progressive Face Alignment by Integrating Global Match and Local Refinement", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6d24/7e3b134a36b329edafa67c53f8fed02515a6.pdf"], "doi": []}, {"id": "46fcf1a1d103c8028b6313d8daec2b57a447a9ca", "title": "A fast online cascaded regression algorithm for face alignment", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04010.pdf"], "doi": []}, {"id": "df53cb2445521a7350cd98a207534795a2a503df", "title": "Photorealistic Face Completion with Semantic Parsing and Face Identity-Preserving Features", "addresses": [{"name": "Guangdong Polytechnic Normal University", "source_name": "Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China", "street_adddress": "Tianhe Park, Tianhe, Guangzhou, China, 510640", "lat": "23.13170700", "lng": "113.37164300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300940"]}, {"id": "cb5cfdb36c338539287ff33a7f12ca2335f177a2", "title": "Supplementary Material : Learning Affinity via Spatial Propagation Networks", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cb5c/fdb36c338539287ff33a7f12ca2335f177a2.pdf"], "doi": []}, {"id": "df3d85ecf8e326774cab59aab75b572fcf9767cc", "title": "The novel part-based cascaded regression algorithm research combining with pose estimation", "addresses": [{"name": "Hainan University", "source_name": "Hainan University, China", "street_adddress": "China, \u7b2c\u4e00\u98df\u58022\u697c", "lat": "20.06199000", "lng": "110.32874000", "type": "edu", "country": "China"}, {"name": "Hainan Tropical Ocean University", "source_name": "College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China", "street_adddress": "Jiyang, Sanya, China", "lat": "18.30806300", "lng": "109.53513600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1610-y"]}, {"id": "6608c48bcff47abc5234619dd9b071276490bc73", "title": "Gray-Edge-HOG feature based cascaded learning for facial landmark detection", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6608/c48bcff47abc5234619dd9b071276490bc73.pdf"], "doi": []}, {"id": "771f5b9d54bcb6aa082d01292473233f7def0f53", "title": "Multi-view Facial Landmark Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/771f/5b9d54bcb6aa082d01292473233f7def0f53.pdf"], "doi": []}, {"id": "c6e40cbc1a1bbb6456bc308714d6ec2d0e2b9b34", "title": "Real-Time Facial Feature Extraction Scheme Using Cascaded Networks", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8679316"]}, {"id": "102249fbfc99d1a16b58b99e28b7deab043a35c6", "title": "Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8376028"]}, {"id": "855184c789bca7a56bb223089516d1358823db0b", "title": "Automatic Procedure to Fix Closed-Eyes Image", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8551/84c789bca7a56bb223089516d1358823db0b.pdf"], "doi": []}, {"id": "6d69a1c9e5d12b3f6c3662d225b24a8c8c98e717", "title": "Classification of Volcano-Seismic Signals with Bayesian Neural Networks", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553358"]}, {"id": "2f841ff062053f38725030aa1b77db903dad1efb", "title": "Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets", "addresses": [{"name": "Australian Centre for Field Robotics University of Sydney", "source_name": "Australian Centre for Field Robotics University of Sydney, 2006, Australia", "street_adddress": "Rose Street Bldg, University of Sydney NSW 2006, Australia", "lat": "-33.88994000", "lng": "151.19380470", "type": "edu", "country": "Australia"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907748", "http://doi.org/10.1109/ICRA.2014.6907748"]}, {"id": "1da138e91cb05ed03ef7719ee0415e38400b4bbe", "title": "Some Pieces Are Missing: Implicature Production in Children", "addresses": [{"name": "University of G\u00f6ttingen", "source_name": "University of G\u00f6ttingen, Germany", "street_adddress": "Wilhelmsplatz 1, 37073 G\u00f6ttingen, Germany", "lat": "51.54081160", "lng": "9.93740050", "type": "company", "country": "Germany"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1da1/38e91cb05ed03ef7719ee0415e38400b4bbe.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/images_of_groups.json b/site/datasets/final/images_of_groups.json index 59d55935..41467a31 100644 --- a/site/datasets/final/images_of_groups.json +++ b/site/datasets/final/images_of_groups.json @@ -1 +1 @@ -{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "dataset": {"key": "images_of_groups", "name_short": "Images of Groups", "name_display": "Images of Groups Dataset", "name_full": "The Images of Groups Dataset", "purpose": "groups in images", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://chenlab.ece.cornell.edu/people/Andy/ImagesOfGroups.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2009", "ongoing": "", "images": "5,080 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "28,231", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "fd, gender, age, event", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "key": "images_of_groups", "title": "Understanding images of groups of people", "year": "2009", "pdf": [], "address": {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, "name": "Images of Groups", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206828"]}, "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "15bf753aa41e4ac465d5fd13ef3913641bc0427a", "title": "Finding rows of people in group images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://www.cc.gatech.edu/~hays/compvision/proj5/papers/Gallagher_ICME_2009.pdf", "https://www.researchgate.net/profile/Andrew_Gallagher2/publication/221263262_Finding_rows_of_people_in_group_images/links/0fcfd51112f0b8150f000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202568", "http://doi.org/10.1109/ICME.2009.5202568"]}, {"id": "02cc96ad997102b7c55e177ac876db3b91b4e72c", "title": "MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Bartoli_MuseumVisitors_A_Dataset_2015_CVPR_paper.pdf", "http://www.micc.unifi.it/publications/2015/BLSKD15/egpaper_for_review.pdf", "http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/cvpr-grow2015.pdf", "http://www.sveborkaraman.com/wp-content/papercite-data/pdf/bartoli2015museumvisitors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301279", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301279", "http://doi.org/10.1109/CVPRW.2015.7301279"]}, {"id": "035fb6317dd793a51c57ccce6f79c4aa1437ea93", "title": "Gender prediction from mobile ocular images: A feasibility study", "addresses": [{"name": "University of Missouri at Kansas City", "source_name": "University of Missouri at Kansas City, United States of America", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943489"]}, {"id": "3f9a7d690db82cf5c3940fbb06b827ced59ec01e", "title": "VIP: Finding important people in images", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.05678.pdf"], "doi": []}, {"id": "c1c34a3ab7815af1b9bcaf2822e4b9da8505f915", "title": "Image transmorphing with JPEG", "addresses": [{"name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "source_name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://infoscience.epfl.ch/record/210902/files/15_ICIP_Transmorph.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351547", "http://doi.org/10.1109/ICIP.2015.7351547"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "37b6d6577541ed991435eaf899a2f82fdd72c790", "title": "Vision-based Human Gender Recognition: A Survey", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.1611.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "53692881ac5b1c149adf6d22ccb2c414d7fdcf4e", "title": "A Completed Modeling of Local Binary Pattern Operator for Texture Classification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5427137"]}, {"id": "046865a5f822346c77e2865668ec014ec3282033", "title": "Discovering informative social subgraphs and predicting pairwise relationships from group photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2393439"]}, {"id": "18de899c853120a1a2cd502ebc3e970b92e1882f", "title": "Age Regression from Soft Aligned Face Images Using Low Computational Resources", "addresses": [{"name": "Universidad Rey Juan Carlos", "source_name": "Departamento de Ciencias de la Computaci\u00f3n, Universidad Rey Juan Carlos, M\u00f3stoles (Madrid), Spain. josemiguel.buenaposada@urjc.es", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/18de/899c853120a1a2cd502ebc3e970b92e1882f.pdf"], "doi": []}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "90ae02da16b750a9fd43f8a38440f848309c2fe0", "title": "A review of facial gender recognition", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0499-6"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b", "title": "Human Age Estimation Based on Locality and Ordinal Information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "IBM Research-China, Beijing, China", "source_name": "IBM Research-China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6980113", "http://doi.org/10.1109/TCYB.2014.2376517", "https://www.ncbi.nlm.nih.gov/pubmed/26470062", "https://www.wikidata.org/entity/Q50555273"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "83272537fc29345d32f68a8ab37e4170df10d3bb", "title": "Automatic clothes segmentation for soft biometrics", "addresses": [{"name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["http://acceda.ulpgc.es/bitstream/10553/15756/5/C089_ICIP14_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026007", "http://doi.org/10.1109/ICIP.2014.7026007"]}, {"id": "0d57d3d2d04fc96d731cac99a7a8ef79050dac75", "title": "Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/CVPR_2013_workshop.pdf", "http://sites.lafayette.edu/sadovnia/files/2014/07/CVPR_2013_workshop.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a269.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W06/papers/Sadovnik_Not_Everybodys_Special_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595886", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.47", "http://doi.org/10.1109/CVPRW.2013.47"]}, {"id": "fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f", "title": "Real-Time Semantic Clothing Segmentation", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://eprints.soton.ac.uk/340202/1/Cushen-ISVC2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33179-4_27", "https://www.wikidata.org/entity/Q57724301"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "5aad56cfa2bac5d6635df4184047e809f8fecca2", "title": "A visual dictionary attack on Picture Passwords", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738916", "http://doi.org/10.1109/ICIP.2013.6738916"]}, {"id": "fac6551c4572b6676aa9963f7cecf43cffaafa26", "title": "Feature Extraction based Face Recognition , Gender and Age Classification", "addresses": [{"name": "Bangalore University", "source_name": "Bangalore University, India", "street_adddress": "Gnana Bharathi Campus, Gnana Bharathi Main Rd, Teachers Colony, Nagarbhavi, Bengaluru, Karnataka 560056, India", "lat": "12.95273140", "lng": "77.51573870", "type": "edu", "country": "India"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fac6/551c4572b6676aa9963f7cecf43cffaafa26.pdf"], "doi": []}, {"id": "13d3b696cdbec99b2fdbb34e9d031bf8c683f112", "title": "Family Photo Recognition via Multiple Instance Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079036"]}, {"id": "4f0e82a326e9ff158a5092ba6206877cf961e19c", "title": "Facial age estimation and gender classification using multi level local phase quantization", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}], "year": "2015", "pdf": ["http://dspace.univ-biskra.dz:8080/jspui/bitstream/123456789/6645/1/Facial%20age%20estimation%20and%20gender%20classification%20using%20Multi%20Level%20Local%20Phase%20Quantization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7233141"]}, {"id": "aec2618ef5317eecb599d1ecd599eedd170107d7", "title": "Automatic age estimation and gender classification in the wild", "addresses": [{"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aec2/618ef5317eecb599d1ecd599eedd170107d7.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "1e516273554d87bbe1902fa0298179c493299035", "title": "Age Classification in Unconstrained Conditions Using LBP Variants", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2012", "pdf": ["http://www.ee.oulu.fi/~hadid/Age-ICPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460367", "http://ieeexplore.ieee.org/document/6460367/"]}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "40638331496b0854b9e348174294c030f5eb5001", "title": "Emotion recognition from an ensemble of features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771365"]}, {"id": "b6a3fc971d29dc61249e6fe033df64ec1a72b9d3", "title": "Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5443483"]}, {"id": "096cc955e19446c3445e331c62d62897833d3e46", "title": "On partial least squares in head pose estimation: How to simultaneously deal with misalignment", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247979"]}]} \ No newline at end of file +{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "dataset": {"key": "images_of_groups", "name_short": "Images of Groups", "name_display": "Images of Groups Dataset", "name_full": "The Images of Groups Dataset", "purpose": "groups in images", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://chenlab.ece.cornell.edu/people/Andy/ImagesOfGroups.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2009", "ongoing": "", "images": "5,080 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "28,231", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "fd, gender, age, event", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "key": "images_of_groups", "title": "Understanding images of groups of people", "year": "2009", "pdf": [], "address": {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, "name": "Images of Groups", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206828"]}, "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "15bf753aa41e4ac465d5fd13ef3913641bc0427a", "title": "Finding rows of people in group images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://www.cc.gatech.edu/~hays/compvision/proj5/papers/Gallagher_ICME_2009.pdf", "https://www.researchgate.net/profile/Andrew_Gallagher2/publication/221263262_Finding_rows_of_people_in_group_images/links/0fcfd51112f0b8150f000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202568", "http://doi.org/10.1109/ICME.2009.5202568"]}, {"id": "02cc96ad997102b7c55e177ac876db3b91b4e72c", "title": "MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Bartoli_MuseumVisitors_A_Dataset_2015_CVPR_paper.pdf", "http://www.micc.unifi.it/publications/2015/BLSKD15/egpaper_for_review.pdf", "http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/cvpr-grow2015.pdf", "http://www.sveborkaraman.com/wp-content/papercite-data/pdf/bartoli2015museumvisitors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301279", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301279", "http://doi.org/10.1109/CVPRW.2015.7301279"]}, {"id": "035fb6317dd793a51c57ccce6f79c4aa1437ea93", "title": "Gender prediction from mobile ocular images: A feasibility study", "addresses": [{"name": "University of Missouri at Kansas City", "source_name": "University of Missouri at Kansas City, United States of America", "street_adddress": "5100 Rockhill Rd, Kansas City, MO 64110, USA", "lat": "39.03355390", "lng": "-94.57602590", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943489"]}, {"id": "3f9a7d690db82cf5c3940fbb06b827ced59ec01e", "title": "VIP: Finding important people in images", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.05678.pdf"], "doi": []}, {"id": "c1c34a3ab7815af1b9bcaf2822e4b9da8505f915", "title": "Image transmorphing with JPEG", "addresses": [{"name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "source_name": "Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://infoscience.epfl.ch/record/210902/files/15_ICIP_Transmorph.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351547", "http://doi.org/10.1109/ICIP.2015.7351547"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "1f5ab3950d9cf691b92d738ac71694402856a9e0", "title": "Person of Interest in Images", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1f5a/b3950d9cf691b92d738ac71694402856a9e0.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "37b6d6577541ed991435eaf899a2f82fdd72c790", "title": "Vision-based Human Gender Recognition: A Survey", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.1611.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "53692881ac5b1c149adf6d22ccb2c414d7fdcf4e", "title": "A Completed Modeling of Local Binary Pattern Operator for Texture Classification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5427137"]}, {"id": "046865a5f822346c77e2865668ec014ec3282033", "title": "Discovering informative social subgraphs and predicting pairwise relationships from group photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2393439"]}, {"id": "18de899c853120a1a2cd502ebc3e970b92e1882f", "title": "Age Regression from Soft Aligned Face Images Using Low Computational Resources", "addresses": [{"name": "Universidad Rey Juan Carlos", "source_name": "Departamento de Ciencias de la Computaci\u00f3n, Universidad Rey Juan Carlos, M\u00f3stoles (Madrid), Spain. josemiguel.buenaposada@urjc.es", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/18de/899c853120a1a2cd502ebc3e970b92e1882f.pdf"], "doi": []}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "90ae02da16b750a9fd43f8a38440f848309c2fe0", "title": "A review of facial gender recognition", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0499-6"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b", "title": "Human Age Estimation Based on Locality and Ordinal Information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "IBM Research-China, Beijing, China", "source_name": "IBM Research-China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beijing Technology and Business University", "source_name": "Beijing Technology and Business University, Beijing, China", "street_adddress": "Fangshan, China, 102400", "lat": "39.72036100", "lng": "116.17004300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6980113", "http://doi.org/10.1109/TCYB.2014.2376517", "https://www.ncbi.nlm.nih.gov/pubmed/26470062", "https://www.wikidata.org/entity/Q50555273"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "83272537fc29345d32f68a8ab37e4170df10d3bb", "title": "Automatic clothes segmentation for soft biometrics", "addresses": [{"name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI - Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["http://acceda.ulpgc.es/bitstream/10553/15756/5/C089_ICIP14_postprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026007", "http://doi.org/10.1109/ICIP.2014.7026007"]}, {"id": "0d57d3d2d04fc96d731cac99a7a8ef79050dac75", "title": "Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/CVPR_2013_workshop.pdf", "http://sites.lafayette.edu/sadovnia/files/2014/07/CVPR_2013_workshop.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a269.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W06/papers/Sadovnik_Not_Everybodys_Special_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595886", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.47", "http://doi.org/10.1109/CVPRW.2013.47"]}, {"id": "fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f", "title": "Real-Time Semantic Clothing Segmentation", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://eprints.soton.ac.uk/340202/1/Cushen-ISVC2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33179-4_27", "https://www.wikidata.org/entity/Q57724301"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "5aad56cfa2bac5d6635df4184047e809f8fecca2", "title": "A visual dictionary attack on Picture Passwords", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738916", "http://doi.org/10.1109/ICIP.2013.6738916"]}, {"id": "fac6551c4572b6676aa9963f7cecf43cffaafa26", "title": "Feature Extraction based Face Recognition , Gender and Age Classification", "addresses": [{"name": "Bangalore University", "source_name": "Bangalore University, India", "street_adddress": "Gnana Bharathi Campus, Gnana Bharathi Main Rd, Teachers Colony, Nagarbhavi, Bengaluru, Karnataka 560056, India", "lat": "12.95273140", "lng": "77.51573870", "type": "edu", "country": "India"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fac6/551c4572b6676aa9963f7cecf43cffaafa26.pdf"], "doi": []}, {"id": "13d3b696cdbec99b2fdbb34e9d031bf8c683f112", "title": "Family Photo Recognition via Multiple Instance Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079036"]}, {"id": "4f0e82a326e9ff158a5092ba6206877cf961e19c", "title": "Facial age estimation and gender classification using multi level local phase quantization", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}], "year": "2015", "pdf": ["http://dspace.univ-biskra.dz:8080/jspui/bitstream/123456789/6645/1/Facial%20age%20estimation%20and%20gender%20classification%20using%20Multi%20Level%20Local%20Phase%20Quantization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7233141"]}, {"id": "aec2618ef5317eecb599d1ecd599eedd170107d7", "title": "Automatic age estimation and gender classification in the wild", "addresses": [{"name": "University of Biskra", "source_name": "University of Biskra, Biskra, Algeria", "street_adddress": "BP 145 RP\u060c \u0628\u0633\u0643\u0631\u0629 07000, Algeria", "lat": "34.84558020", "lng": "5.74819150", "type": "edu", "country": "Algeria"}, {"name": "University of Ouargla", "source_name": "Laboratory of LAGE, University of Ouargla, Algeria", "street_adddress": "Avenu Si El-haoues (Cit\u00e9 Bahmid en face cr\u00e9che casorac)\u060c Ouargla 30000, Algeria", "lat": "31.96289100", "lng": "5.32926800", "type": "edu", "country": "Algeria"}, {"name": "University of Valenciennes", "source_name": "LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France", "street_adddress": "Voirie Communale Universit\u00e9 Val Mont Houy, 59300 Famars, France", "lat": "50.32355800", "lng": "3.51258270", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aec2/618ef5317eecb599d1ecd599eedd170107d7.pdf"], "doi": []}, {"id": "52e8b1cb5c4f6b43b13db9c322861ad53aaa28e9", "title": "Photo Aesthetics Ranking Network with Attributes and Content Adaptation", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01621.pdf"], "doi": []}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "1e516273554d87bbe1902fa0298179c493299035", "title": "Age Classification in Unconstrained Conditions Using LBP Variants", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2012", "pdf": ["http://www.ee.oulu.fi/~hadid/Age-ICPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460367", "http://ieeexplore.ieee.org/document/6460367/"]}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906255"]}, {"id": "db8c3cfaae04a14c1209d62953029b6fa53e23c7", "title": "Challenges in representation learning: A report on three machine learning contests", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1307.0414.pdf"], "doi": []}, {"id": "40638331496b0854b9e348174294c030f5eb5001", "title": "Emotion recognition from an ensemble of features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771365"]}, {"id": "b6a3fc971d29dc61249e6fe033df64ec1a72b9d3", "title": "Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5443483"]}, {"id": "096cc955e19446c3445e331c62d62897833d3e46", "title": "On partial least squares in head pose estimation: How to simultaneously deal with misalignment", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247979"]}]} \ No newline at end of file diff --git a/site/datasets/final/imdb_wiki.json b/site/datasets/final/imdb_wiki.json index 0420ab66..5c9f2e64 100644 --- a/site/datasets/final/imdb_wiki.json +++ b/site/datasets/final/imdb_wiki.json @@ -1 +1 @@ -{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "dataset": {"key": "imdb_wiki", "name_short": "IMDB-Wiki", "name_display": "IMDB-Wiki", "name_full": "IMDB-Wiki", "purpose": "age estimation, gender", "comment": "img/pers is average", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "imdb, wikipedia", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "523,051 ", "videos": "", "tracklets": "", "identities": "82,612 ", "img_per_person": "23", "num_cameras": "", "faces_or_persons": "460,723", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "age, gender", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "10195a163ab6348eef37213a46f60a3d87f289c5", "key": "imdb_wiki", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "address": {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, "name": "IMDB-Wiki", "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "additional_papers": [{"paper_id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "key": "imdb_wiki", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "address": "", "name": "IMDB-Wiki", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}], "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "7fab17ef7e25626643f1d55257a3e13348e435bd", "title": "Age Progression/Regression by Conditional Adversarial Autoencoder", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08423.pdf"], "doi": []}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "36a3a96ef54000a0cd63de867a5eb7e84396de09", "title": "Automatic Photo Orientation Detection with Convolutional Neural Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.cs.toronto.edu/~guerzhoy/oriviz/crv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287681", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.59", "http://doi.org/10.1109/CRV.2017.59"]}, {"id": "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "title": "Facial age estimation through self-paced learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305113", "http://doi.org/10.1109/VCIP.2017.8305113"]}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "b30aaf7e24f665473d9d19739581fd61499c6f36", "title": "BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307405"]}, {"id": "bb20363203aba8e88e73603c1e493292dd0c686a", "title": "Wasserstein Divergence for GANs", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01026.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d11d0151618987ce00a88ceda55d35f0bb89122e", "title": "An analysis of automatic gender detection by first-order configural relations", "addresses": [{"name": "Gazi University Ankara", "source_name": "Gazi University Ankara, Turkey", "street_adddress": "Emniyet mah, Gazi \u00dcniversitesi Rekt\u00f6rl\u00fc\u011f\u00fc Teknik okullar\u0131, 06560 Yenimahalle/Ankara, Turkey", "lat": "39.94202190", "lng": "32.82300500", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8093524"]}, {"id": "c6d55dd73bd124c8e2240630258de96bddb504d8", "title": "Are screening methods useful in feature selection? An empirical study", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05465.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369763"]}, {"id": "b88bace97d214d279e3a2053ccff0b6425295708", "title": "A Novel Framework for Online Supervised Learning with Feature Selection", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "74aeca09284f0941a9c7e7ace0af1cabf0795156", "title": "A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02810.pdf"], "doi": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "title": "Smart Facial Age Estimation with Stacked Deep Network Fusion", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448885"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "00a967cb2d18e1394226ad37930524a31351f6cf", "title": "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05377.pdf"], "doi": []}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "53b61d674f7d7758188ed51b81737d545d1641ab", "title": "Real-time Convolutional Neural Networks for Emotion and Gender Classification", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07557.pdf"], "doi": []}, {"id": "9e0285debd4b0ba7769b389181bd3e0fd7a02af6", "title": "From Face Images and Attributes to Attributes", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "source_name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9e02/85debd4b0ba7769b389181bd3e0fd7a02af6.pdf"], "doi": []}, {"id": "b8c08c1330779283b3fbf06d133faf8bd55ea941", "title": "Online Regression with Feature Selection in Stochastic Data Streams", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "title": "Does A Body Image Tell Age?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545590", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545590", "http://doi.org/10.1109/ICPR.2018.8545590"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "title": "Deep expectation for estimation of fingerprint orientation fields", "addresses": [{"name": "Dermalog Identification Systems, Hamburg, Germany", "source_name": "Dermalog Identification Systems GmbH, Hamburg, Germany", "street_adddress": "Mittelweg 120, 20148 Hamburg, Germany", "lat": "53.57227000", "lng": "9.99472000", "type": "company", "country": "Germany"}, {"name": "Norwegian Biometrics Lab, NTNU, Norway", "source_name": "Norwegian Biometrics Lab, NTNU, Gj\u2298vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272697", "http://doi.org/10.1109/BTAS.2017.8272697"]}, {"id": "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "title": "Evaluating race and sex diversity in the world's largest companies using deep neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02353.pdf"], "doi": []}, {"id": "523854a7d8755e944bd50217c14481fe1329a969", "title": "A Differentially Private Kernel Two-Sample Test", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00380.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "title": "Fusion of classifier predictions for audio-visual emotion recognition", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Singidunum University", "source_name": "Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia", "street_adddress": "Kara\u0111or\u0111eva 65, Beograd 11000, Serbia", "lat": "44.81238400", "lng": "20.45350100", "type": "edu", "country": "Serbia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899608", "http://doi.org/10.1109/ICPR.2016.7899608"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "26c7eda262dfda1c3a3597a3bf1f2f1cc4013425", "title": "Some Like It Hot \u2014 Visual Guidance for Preference Prediction", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.07867.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "title": "Age Estimation by Refining Label Distribution in Deep CNN", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ccbr2017.org/ccbr%20PPT/95%E5%8F%B7%E8%AE%BA%E6%96%87-%E7%94%B3%E6%99%9A%E9%9C%9E%20wanxiahen-ccbr.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-69923-3_10"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "title": "Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5fa/e7810a33ed67852ad6a3e0144cb278b24b41.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "56e079f4eb40744728fd1d7665938b06426338e5", "title": "Bayesian Approaches to Distribution Regression", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.04293.pdf"], "doi": []}, {"id": "8a991beca5bc864bbc1e26df953fd1fbd4dcb4bd", "title": "Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://www.vision.ee.ethz.ch/~timofter/publications/Patcas-IJOMS-2018.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30087062", "http://doi.org/10.1016/j.ijom.2018.07.010"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "title": "Real Time System for Facial Analysis", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05474.pdf"], "doi": []}, {"id": "2d8e5012c3772003d1fef084d9e2ebc87c8deb64", "title": "Automatic Face Aging in Videos via Deep Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "Clemson University", "source_name": "Clemson University", "street_adddress": "Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA", "lat": "34.66869155", "lng": "-82.83743476", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11082.pdf"], "doi": []}, {"id": "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "title": "Robust Joint and Individual Variance Explained", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Sagonas_Robust_Joint_and_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/2209.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100091", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.608", "http://doi.org/10.1109/CVPR.2017.608"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "2b632f090c09435d089ff76220fd31fd314838ae", "title": "Early Adaptation of Deep Priors in Age Prediction from Face Images", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hajibabaei_Early_Adaptation_of_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Hajibabaei-ICCVW-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.192", "http://doi.org/10.1109/ICCVW.2017.192"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "cca9ae621e8228cfa787ec7954bb375536160e0d", "title": "Learning to Collaborate for User-Controlled Privacy", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07410.pdf"], "doi": []}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "title": "Feature specific analysis of a deep convolutional neural network for ageing classification", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471767", "http://doi.org/10.1109/CSNDSP.2018.8471767"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "title": "DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09211.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "title": "Calibrated Prediction Intervals for Neural Network Regressors", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09546.pdf"], "doi": []}, {"id": "2c2f03edc9b76e5ac132b54b2e3313237e22b5e7", "title": "Towards neural art-based face de-identification in video data", "addresses": [{"name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "source_name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "street_adddress": "Buzinski prilaz 32, 10000, Zagreb, Croatia", "lat": "45.74611300", "lng": "15.99676300", "type": "edu", "country": "Croatia"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528406"]}, {"id": "d0296efc3c532269aaa7e8f856f5d1807af847fb", "title": "Improving the face recognition system by hybrid image preprocessing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574866", "http://doi.org/10.1109/CYBER.2016.7574866"]}, {"id": "75f9d3533f175943e33c9155f4038488f32a24bc", "title": "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06817.pdf"], "doi": []}, {"id": "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "title": "Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d060/f2f3641c6a89ade021eea749414a5c6b443f.pdf"], "doi": []}, {"id": "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "title": "Face Aging with Improved Invertible Conditional GANs", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546268", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546268", "http://doi.org/10.1109/ICPR.2018.8546268"]}, {"id": "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "title": "A method of facial wearable items recognition", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8243072"]}, {"id": "366e650a578a3732ebe10267f04bcf9d3129f076", "title": "Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition", "addresses": [{"name": "National Kaohsiung University of Science and Technology", "source_name": "National Kaohsiung University of Science and Technology, Taiwan", "street_adddress": "No. 2\u865f, Zhuoyue Road, Nanzi District, Kaohsiung City, Taiwan 811", "lat": "22.75448450", "lng": "120.33283100", "type": "edu", "country": "Taiwan"}, {"name": "National Kaohsiung University of Hospitality and Tourism", "source_name": "Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan", "street_adddress": "No. 1\u865f, Songhe Road, Xiaogang District, Kaohsiung City, Taiwan 812", "lat": "22.56325390", "lng": "120.37238220", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3133803"]}, {"id": "8aeb3d5a097d33fc20efa046c0ed6cb886498d42", "title": "A Modulation Module for Multi-task Learning with Applications in Image Retrieval", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06708.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "08d41d2f68a2bf0091dc373573ca379de9b16385", "title": "Recursive Chaining of Reversible Image-to-image Translators For Face Aging", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05023.pdf"], "doi": []}, {"id": "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "title": "End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies", "addresses": [{"name": "American University in Cairo", "source_name": "The American University in Cairo", "street_adddress": "\u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0645\u0631\u064a\u0643\u064a\u0629 \u0628\u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0634\u0627\u0631\u0639 \u0627\u0644\u0642\u0635\u0631 \u0627\u0644\u0639\u064a\u0646\u0649, \u0627\u0644\u0642\u0627\u0647\u0631\u0629 \u0627\u0644\u0642\u062f\u064a\u0645\u0629, \u062c\u0627\u0631\u062f\u0646 \u0633\u064a\u062a\u064a, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 11582, \u0645\u0635\u0631", "lat": "30.04287695", "lng": "31.23664139", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03804.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "1491d0938bb4183bd19f2fee3b61997e1918160d", "title": "Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00453.pdf"], "doi": []}, {"id": "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "title": "Multi-task learning for smile detection, emotion recognition and gender classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3155207"]}, {"id": "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "title": "User Profiling through Deep Multimodal Fusion", "addresses": [{"name": "KU Leuven, Leuven, Belgium", "source_name": "KU Leuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159691"]}, {"id": "f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7", "title": "Human features extraction by using anatomical and low level image descriptors from whole body images", "addresses": [{"name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "source_name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "street_adddress": "Cra. 11, Bogot\u00e1, Colombia", "lat": "4.68301050", "lng": "-74.04224330", "type": "edu", "country": "Colombia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743308"]}, {"id": "8d5998cd984e7cce307da7d46f155f9db99c6590", "title": "ChaLearn looking at people: A review of events and resources", "addresses": [{"name": "Open University of Catalonia", "source_name": "Open University of Catalonia, Barcelona, Spain", "street_adddress": "Rambla del Poblenou, 156, 08018 Barcelona, Spain", "lat": "41.40649800", "lng": "2.19454320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966041"]}, {"id": "68573e296f069071d071fc158e974e8bc70c893f", "title": "Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6857/3e296f069071d071fc158e974e8bc70c893f.pdf"], "doi": []}, {"id": "f7b422df567ce9813926461251517761e3e6cda0", "title": "Face aging with conditional generative adversarial networks", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01983.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "6db593d99fabc7f787f41786cb2e37c084f1ad19", "title": "Deep Age Estimation Model Stabilization from Images to Videos", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545283", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545283", "http://doi.org/10.1109/ICPR.2018.8545283"]}, {"id": "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "title": "On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471792", "http://doi.org/10.1109/CSNDSP.2018.8471792"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "2a7b7de7488211471a001044a3a249a117af488a", "title": "Physical Attribute Prediction Using Deep Residual Neural Networks", "addresses": [{"name": "Shahid Beheshti University", "source_name": "Shahid Beheshti University, Shahid Beheshti University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, District 1, Daneshjou Boulevard, 19839 69411, Iran", "lat": "35.79906280", "lng": "51.39468640", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07857.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}, {"id": "1171ec9250743c349e5218d4a01c4fdad94c7707", "title": "Low-Cost Transfer Learning of Face Tasks", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02675.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "f519723238701849f1160d5a9cedebd31017da89", "title": "Impact of multi-focused images on recognition of soft biometric traits", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f519/723238701849f1160d5a9cedebd31017da89.pdf"], "doi": []}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789595", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.105", "http://doi.org/10.1109/CVPRW.2016.105"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "4b9ec224949c79a980a5a66664d0ac6233c3d575", "title": "Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565501", "http://doi.org/10.1109/TMM.2016.2608786"]}, {"id": "10d6fe566125597195cf985084347139a8cdad1e", "title": "Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://haddadi.github.io/papers/ieeeComputer2018hybrid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364651", "http://doi.ieeecomputersociety.org/10.1109/MC.2018.2381113", "http://doi.org/10.1109/MC.2018.2381113"]}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "4905323aaf61952e07f62c18fa662c7da895e40e", "title": "Recovering Joint and Individual Components in Facial Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Onfido, London, United Kingdom", "source_name": "Onfido, London, United Kingdom", "street_adddress": "3 Finsbury Ave, London EC2M 2PA, UK", "lat": "51.51981120", "lng": "-0.08412990", "type": "company", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/final-tpami-rjive.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219732", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2784421", "http://doi.org/10.1109/TPAMI.2017.2784421", "https://www.ncbi.nlm.nih.gov/pubmed/29990036"]}, {"id": "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "title": "Unsupervised Learning of Mixture Models with a Uniform Background Component", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02744.pdf"], "doi": []}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "title": "Learning with Ambiguous Label Distribution for Apparent Age Estimation", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b20c/fbb2348984b4e25b6b9174f3c7b65b6aed9e.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}]} \ No newline at end of file +{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "dataset": {"key": "imdb_wiki", "name_short": "IMDB-Wiki", "name_display": "IMDB-Wiki", "name_full": "IMDB-Wiki", "purpose": "age estimation, gender", "comment": "img/pers is average", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "source": "imdb, wikipedia", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "523,051 ", "videos": "", "tracklets": "", "identities": "82,612 ", "img_per_person": "23", "num_cameras": "", "faces_or_persons": "460,723", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "age, gender", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "10195a163ab6348eef37213a46f60a3d87f289c5", "key": "imdb_wiki", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "address": {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, "name": "IMDB-Wiki", "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "additional_papers": [{"paper_id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "key": "imdb_wiki", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "address": "", "name": "IMDB-Wiki", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}], "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "7fab17ef7e25626643f1d55257a3e13348e435bd", "title": "Age Progression/Regression by Conditional Adversarial Autoencoder", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08423.pdf"], "doi": []}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "36a3a96ef54000a0cd63de867a5eb7e84396de09", "title": "Automatic Photo Orientation Detection with Convolutional Neural Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.cs.toronto.edu/~guerzhoy/oriviz/crv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287681", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.59", "http://doi.org/10.1109/CRV.2017.59"]}, {"id": "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "title": "Facial age estimation through self-paced learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305113", "http://doi.org/10.1109/VCIP.2017.8305113"]}, {"id": "b4338267e825a4cd057365abf49217e1c76bb5f9", "title": "Understanding Unequal Gender Classification Accuracy from Face Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00099.pdf"], "doi": []}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "b30aaf7e24f665473d9d19739581fd61499c6f36", "title": "BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307405"]}, {"id": "bb20363203aba8e88e73603c1e493292dd0c686a", "title": "Wasserstein Divergence for GANs", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01026.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"], "doi": []}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d11d0151618987ce00a88ceda55d35f0bb89122e", "title": "An analysis of automatic gender detection by first-order configural relations", "addresses": [{"name": "Gazi University Ankara", "source_name": "Gazi University Ankara, Turkey", "street_adddress": "Emniyet mah, Gazi \u00dcniversitesi Rekt\u00f6rl\u00fc\u011f\u00fc Teknik okullar\u0131, 06560 Yenimahalle/Ankara, Turkey", "lat": "39.94202190", "lng": "32.82300500", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8093524"]}, {"id": "c6d55dd73bd124c8e2240630258de96bddb504d8", "title": "Are screening methods useful in feature selection? An empirical study", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05465.pdf"], "doi": []}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8141981", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2779808", "http://doi.org/10.1109/TPAMI.2017.2779808", "https://www.ncbi.nlm.nih.gov/pubmed/29990187"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369763"]}, {"id": "b88bace97d214d279e3a2053ccff0b6425295708", "title": "A Novel Framework for Online Supervised Learning with Feature Selection", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "74aeca09284f0941a9c7e7ace0af1cabf0795156", "title": "A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02810.pdf"], "doi": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"name": "ChongQing University of Electronic Engineering", "source_name": "College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China", "street_adddress": "Chongqing University, Shapingba, Chongqing, China", "lat": "29.56463700", "lng": "106.46608000", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1171-0"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "35f074047838d1590591a93477d4d7eef4dd52d8", "title": "Multiple Network Fusion with Low-Rank Representation for Image-Based Age Estimation", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f0/74047838d1590591a93477d4d7eef4dd52d8.pdf"], "doi": []}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"], "doi": []}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "addresses": [{"name": "PEC University of Technology", "source_name": "Computer Science & Engineering, PEC University of Technology, Chandigarh, India", "street_adddress": "6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India", "lat": "30.76773090", "lng": "76.78515830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229960"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "title": "Smart Facial Age Estimation with Stacked Deep Network Fusion", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448885"]}, {"id": "b675bf09a68dd7570fd5d5ec0d1eb3d1b08a345a", "title": "Generalizing semi-supervised generative adversarial networks to regression", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11269.pdf"], "doi": []}, {"id": "8c2233d763deb01761abe72b9b3dbb0b115916d3", "title": "Deep Modeling of Human Age Guesses for Apparent Age Estimation", "addresses": [{"name": "University of Rhode Island", "source_name": "Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881", "street_adddress": "45 Upper College Rd, Kingston, RI 02881, USA", "lat": "41.48606470", "lng": "-71.53085370", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489570", "http://doi.org/10.1109/IJCNN.2018.8489570"]}, {"id": "00a967cb2d18e1394226ad37930524a31351f6cf", "title": "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05377.pdf"], "doi": []}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "53b61d674f7d7758188ed51b81737d545d1641ab", "title": "Real-time Convolutional Neural Networks for Emotion and Gender Classification", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07557.pdf"], "doi": []}, {"id": "9e0285debd4b0ba7769b389181bd3e0fd7a02af6", "title": "From Face Images and Attributes to Attributes", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "source_name": "Computer Vision Laboratory, ETH Zurich, Switzerland", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9e02/85debd4b0ba7769b389181bd3e0fd7a02af6.pdf"], "doi": []}, {"id": "b8c08c1330779283b3fbf06d133faf8bd55ea941", "title": "Online Regression with Feature Selection in Stochastic Data Streams", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "title": "Does A Body Image Tell Age?", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545590", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545590", "http://doi.org/10.1109/ICPR.2018.8545590"]}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}, {"name": "Wuhan University Wuhan", "source_name": "Wuhan University Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"], "doi": []}, {"id": "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "title": "Deep expectation for estimation of fingerprint orientation fields", "addresses": [{"name": "Dermalog Identification Systems, Hamburg, Germany", "source_name": "Dermalog Identification Systems GmbH, Hamburg, Germany", "street_adddress": "Mittelweg 120, 20148 Hamburg, Germany", "lat": "53.57227000", "lng": "9.99472000", "type": "company", "country": "Germany"}, {"name": "Norwegian Biometrics Lab, NTNU, Norway", "source_name": "Norwegian Biometrics Lab, NTNU, Gj\u2298vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272697", "http://doi.org/10.1109/BTAS.2017.8272697"]}, {"id": "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "title": "Evaluating race and sex diversity in the world's largest companies using deep neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02353.pdf"], "doi": []}, {"id": "523854a7d8755e944bd50217c14481fe1329a969", "title": "A Differentially Private Kernel Two-Sample Test", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00380.pdf"], "doi": []}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "title": "Fusion of classifier predictions for audio-visual emotion recognition", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Singidunum University", "source_name": "Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia", "street_adddress": "Kara\u0111or\u0111eva 65, Beograd 11000, Serbia", "lat": "44.81238400", "lng": "20.45350100", "type": "edu", "country": "Serbia"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899608", "http://doi.org/10.1109/ICPR.2016.7899608"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475", "http://doi.org/10.1109/TCYB.2017.2741998", "https://www.ncbi.nlm.nih.gov/pubmed/29994609"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "26c7eda262dfda1c3a3597a3bf1f2f1cc4013425", "title": "Some Like It Hot \u2014 Visual Guidance for Preference Prediction", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.07867.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "f580f4d6dc15b352f0bad63128587bc67b886170", "title": "Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks", "addresses": [{"name": "National Taichung University of Science and Technology", "source_name": "National Taichung University of science and Technology", "street_adddress": "\u81fa\u4e2d\u79d1\u5927, 129, \u4e09\u6c11\u8def\u4e09\u6bb5, \u9326\u5e73\u91cc, \u8cf4\u539d\u5ecd, \u5317\u5340, \u81fa\u4e2d\u5e02, 40401, \u81fa\u7063", "lat": "24.15031065", "lng": "120.68325501", "type": "edu", "country": "Taiwan"}, {"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630776"]}, {"id": "5e168dfde0e8dc6bdf6ac203bac5c046ee56f35d", "title": "Revised Contrastive Loss for Robust Age Estimation from Face", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545864"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "title": "Age Estimation by Refining Label Distribution in Deep CNN", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ccbr2017.org/ccbr%20PPT/95%E5%8F%B7%E8%AE%BA%E6%96%87-%E7%94%B3%E6%99%9A%E9%9C%9E%20wanxiahen-ccbr.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-69923-3_10"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"name": "Samsung SAIT, Korea", "source_name": "Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea", "street_adddress": "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236", "http://doi.org/10.1109/LSP.2018.2822241"]}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "7d1357c13d502f00c66a91cf90a3323d93d190b0", "title": "Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation", "addresses": [{"name": "UNC Wilmington", "source_name": "Mathematics and Statistics, UNC Wilmington, NC, United States", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621891"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "title": "Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5fa/e7810a33ed67852ad6a3e0144cb278b24b41.pdf"], "doi": []}, {"id": "bb976f6a8680545c42c5a50618cb8fa0872ca3ec", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451606"]}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3152118"]}, {"id": "56e079f4eb40744728fd1d7665938b06426338e5", "title": "Bayesian Approaches to Distribution Regression", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.04293.pdf"], "doi": []}, {"id": "8a991beca5bc864bbc1e26df953fd1fbd4dcb4bd", "title": "Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://www.vision.ee.ethz.ch/~timofter/publications/Patcas-IJOMS-2018.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30087062", "http://doi.org/10.1016/j.ijom.2018.07.010"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"], "doi": []}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "title": "Real Time System for Facial Analysis", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05474.pdf"], "doi": []}, {"id": "2d8e5012c3772003d1fef084d9e2ebc87c8deb64", "title": "Automatic Face Aging in Videos via Deep Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "Clemson University", "source_name": "Clemson University", "street_adddress": "Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA", "lat": "34.66869155", "lng": "-82.83743476", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11082.pdf"], "doi": []}, {"id": "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "title": "Robust Joint and Individual Variance Explained", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Sagonas_Robust_Joint_and_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/2209.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100091", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.608", "http://doi.org/10.1109/CVPR.2017.608"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "2b632f090c09435d089ff76220fd31fd314838ae", "title": "Early Adaptation of Deep Priors in Age Prediction from Face Images", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hajibabaei_Early_Adaptation_of_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Hajibabaei-ICCVW-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.192", "http://doi.org/10.1109/ICCVW.2017.192"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"name": "Samsung R&D Institute, Bangalore, India", "source_name": "Samsung R&D Institute, Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952629", "http://doi.org/10.1109/ICASSP.2017.7952629", "https://doi.org/10.1109/ICASSP.2017.7952629"]}, {"id": "cca9ae621e8228cfa787ec7954bb375536160e0d", "title": "Learning to Collaborate for User-Controlled Privacy", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07410.pdf"], "doi": []}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296595", "http://doi.org/10.1109/ICIP.2017.8296595"]}, {"id": "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "title": "Feature specific analysis of a deep convolutional neural network for ageing classification", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471767", "http://doi.org/10.1109/CSNDSP.2018.8471767"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "c90362daffb92ca848450ca33fe2c2d3f3665e2a", "title": "Models for supervised learning in sequence data", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/399e/d1c6b72c765c2c8ec6437c9ef7a1866d0f29.pdf"], "doi": []}, {"id": "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "title": "DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model", "addresses": [{"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09211.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "title": "Calibrated Prediction Intervals for Neural Network Regressors", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09546.pdf"], "doi": []}, {"id": "2c2f03edc9b76e5ac132b54b2e3313237e22b5e7", "title": "Towards neural art-based face de-identification in video data", "addresses": [{"name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "source_name": "Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia", "street_adddress": "Buzinski prilaz 32, 10000, Zagreb, Croatia", "lat": "45.74611300", "lng": "15.99676300", "type": "edu", "country": "Croatia"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528406"]}, {"id": "d0296efc3c532269aaa7e8f856f5d1807af847fb", "title": "Improving the face recognition system by hybrid image preprocessing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7574866", "http://doi.org/10.1109/CYBER.2016.7574866"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "75f9d3533f175943e33c9155f4038488f32a24bc", "title": "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06817.pdf"], "doi": []}, {"id": "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "title": "Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d060/f2f3641c6a89ade021eea749414a5c6b443f.pdf"], "doi": []}, {"id": "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "title": "Face Aging with Improved Invertible Conditional GANs", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546268", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546268", "http://doi.org/10.1109/ICPR.2018.8546268"]}, {"id": "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "title": "A method of facial wearable items recognition", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8243072"]}, {"id": "366e650a578a3732ebe10267f04bcf9d3129f076", "title": "Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition", "addresses": [{"name": "National Kaohsiung University of Science and Technology", "source_name": "National Kaohsiung University of Science and Technology, Taiwan", "street_adddress": "No. 2\u865f, Zhuoyue Road, Nanzi District, Kaohsiung City, Taiwan 811", "lat": "22.75448450", "lng": "120.33283100", "type": "edu", "country": "Taiwan"}, {"name": "National Kaohsiung University of Hospitality and Tourism", "source_name": "Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan", "street_adddress": "No. 1\u865f, Songhe Road, Xiaogang District, Kaohsiung City, Taiwan 812", "lat": "22.56325390", "lng": "120.37238220", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3133803"]}, {"id": "8aeb3d5a097d33fc20efa046c0ed6cb886498d42", "title": "A Modulation Module for Multi-task Learning with Applications in Image Retrieval", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06708.pdf"], "doi": []}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "08d41d2f68a2bf0091dc373573ca379de9b16385", "title": "Recursive Chaining of Reversible Image-to-image Translators For Face Aging", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05023.pdf"], "doi": []}, {"id": "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "title": "End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies", "addresses": [{"name": "American University in Cairo", "source_name": "The American University in Cairo", "street_adddress": "\u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0645\u0631\u064a\u0643\u064a\u0629 \u0628\u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0634\u0627\u0631\u0639 \u0627\u0644\u0642\u0635\u0631 \u0627\u0644\u0639\u064a\u0646\u0649, \u0627\u0644\u0642\u0627\u0647\u0631\u0629 \u0627\u0644\u0642\u062f\u064a\u0645\u0629, \u062c\u0627\u0631\u062f\u0646 \u0633\u064a\u062a\u064a, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 11582, \u0645\u0635\u0631", "lat": "30.04287695", "lng": "31.23664139", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03804.pdf"], "doi": []}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296552", "http://doi.org/10.1109/ICIP.2017.8296552"]}, {"id": "1491d0938bb4183bd19f2fee3b61997e1918160d", "title": "Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00453.pdf"], "doi": []}, {"id": "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "title": "Multi-task learning for smile detection, emotion recognition and gender classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3155207"]}, {"id": "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "title": "User Profiling through Deep Multimodal Fusion", "addresses": [{"name": "KU Leuven, Leuven, Belgium", "source_name": "KU Leuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159691"]}, {"id": "f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7", "title": "Human features extraction by using anatomical and low level image descriptors from whole body images", "addresses": [{"name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "source_name": "Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia", "street_adddress": "Cra. 11, Bogot\u00e1, Colombia", "lat": "4.68301050", "lng": "-74.04224330", "type": "edu", "country": "Colombia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743308"]}, {"id": "8d5998cd984e7cce307da7d46f155f9db99c6590", "title": "ChaLearn looking at people: A review of events and resources", "addresses": [{"name": "Open University of Catalonia", "source_name": "Open University of Catalonia, Barcelona, Spain", "street_adddress": "Rambla del Poblenou, 156, 08018 Barcelona, Spain", "lat": "41.40649800", "lng": "2.19454320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966041"]}, {"id": "68573e296f069071d071fc158e974e8bc70c893f", "title": "Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification", "addresses": [{"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6857/3e296f069071d071fc158e974e8bc70c893f.pdf"], "doi": []}, {"id": "f7b422df567ce9813926461251517761e3e6cda0", "title": "Face aging with conditional generative adversarial networks", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01983.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Uricar_Structured_Output_SVM_CVPR_2016_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01293.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/125793/eth-50297-01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789586", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96", "http://doi.org/10.1109/CVPRW.2016.96"]}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "6db593d99fabc7f787f41786cb2e37c084f1ad19", "title": "Deep Age Estimation Model Stabilization from Images to Videos", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545283", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545283", "http://doi.org/10.1109/ICPR.2018.8545283"]}, {"id": "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "title": "On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8471792", "http://doi.org/10.1109/CSNDSP.2018.8471792"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "2a7b7de7488211471a001044a3a249a117af488a", "title": "Physical Attribute Prediction Using Deep Residual Neural Networks", "addresses": [{"name": "Shahid Beheshti University", "source_name": "Shahid Beheshti University, Shahid Beheshti University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, District 1, Daneshjou Boulevard, 19839 69411, Iran", "lat": "35.79906280", "lng": "51.39468640", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07857.pdf"], "doi": []}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326310", "http://doi.org/10.1109/ICCE.2018.8326310"]}, {"id": "1171ec9250743c349e5218d4a01c4fdad94c7707", "title": "Low-Cost Transfer Learning of Face Tasks", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02675.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "f519723238701849f1160d5a9cedebd31017da89", "title": "Impact of multi-focused images on recognition of soft biometric traits", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f519/723238701849f1160d5a9cedebd31017da89.pdf"], "doi": []}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789595", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.105", "http://doi.org/10.1109/CVPRW.2016.105"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "4b9ec224949c79a980a5a66664d0ac6233c3d575", "title": "Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565501", "http://doi.org/10.1109/TMM.2016.2608786"]}, {"id": "10d6fe566125597195cf985084347139a8cdad1e", "title": "Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://haddadi.github.io/papers/ieeeComputer2018hybrid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364651", "http://doi.ieeecomputersociety.org/10.1109/MC.2018.2381113", "http://doi.org/10.1109/MC.2018.2381113"]}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"], "doi": []}, {"id": "4905323aaf61952e07f62c18fa662c7da895e40e", "title": "Recovering Joint and Individual Components in Facial Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Onfido, London, United Kingdom", "source_name": "Onfido, London, United Kingdom", "street_adddress": "3 Finsbury Ave, London EC2M 2PA, UK", "lat": "51.51981120", "lng": "-0.08412990", "type": "company", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/final-tpami-rjive.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219732", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2784421", "http://doi.org/10.1109/TPAMI.2017.2784421", "https://www.ncbi.nlm.nih.gov/pubmed/29990036"]}, {"id": "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "title": "Unsupervised Learning of Mixture Models with a Uniform Background Component", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02744.pdf"], "doi": []}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "6f3054f182c34ace890a32fdf1656b583fbc7445", "title": "Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f30/54f182c34ace890a32fdf1656b583fbc7445.pdf"], "doi": []}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "title": "Learning with Ambiguous Label Distribution for Apparent Age Estimation", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b20c/fbb2348984b4e25b6b9174f3c7b65b6aed9e.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}]} \ No newline at end of file diff --git a/site/datasets/final/leeds_sports_pose.json b/site/datasets/final/leeds_sports_pose.json index 33df70fa..71aa3a42 100644 --- a/site/datasets/final/leeds_sports_pose.json +++ b/site/datasets/final/leeds_sports_pose.json @@ -1 +1 @@ -{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "dataset": {"key": "leeds_sports_pose", "name_short": "Leeds Sports Pose", "name_display": "Leeds Sports Pose", "name_full": "Leeds Sports Pose", "purpose": "dataset of sport poses", "comment": "The images have been scaled such that the most prominent person is roughly 150 pixels in length. Each image has been annotated with 14 joint locations. Left and right joints are consistently labelled from a person-centric viewpoint. Attributions and Flickr URLs for the original images can be found in the JPEG comment field of each image file.", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://sam.johnson.io/research/lsp.html", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "N", "names": "", "flickr_meta": "N", "year_start": "", "year_end": "", "year_published": "2010", "ongoing": "", "images": "2,000 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "pose", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "key": "leeds_sports_pose", "title": "Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation", "year": "2010", "pdf": ["http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf", "http://www.bmva.org/bmvc/2010/conference/paper12/paper12.pdf", "http://www.comp.leeds.ac.uk/mat4saj/publications/johnson10bmvc.pdf"], "address": "", "name": "Leeds Sports Pose", "doi": ["https://doi.org/10.5244/C.24.12"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "47382cb7f501188a81bb2e10cfd7aed20285f376", "title": "Articulated Pose Estimation Using Hierarchical Exemplar-Based Models", "addresses": [{"name": "Columbia University ", "source_name": "Columbia University in the City of New York", "street_adddress": "Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA", "lat": "40.80717720", "lng": "-73.96252798", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04118.pdf"], "doi": []}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "2bc5a49e6d8351e276cf5b37fcc0a6eecebd5797", "title": "3D Human pose estimation: A review of the literature and analysis of covariates", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["http://campus.pub.ro/lab7/bionescu/index_files/pub/CVIU_3DHumanPoseEstimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.002"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "title": "Structured Feature Learning for Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09065.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "307f0da392588b172a68512969d1fb61f85fbc0f", "title": "Kinect-supported dataset creation for human pose estimation", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2643195"]}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "title": "Pose from Action: Unsupervised Learning of Pose Features based on Motion", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05420.pdf"], "doi": []}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "e73696016b43314a7bef6015dacbe702af472d96", "title": "End-to-End Recovery of Human Shape and Pose", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06584.pdf"], "doi": []}, {"id": "31c52ecc98ebf046df914fd113abcae334e1cf0e", "title": "Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network", "addresses": [{"name": "Aoyama Gakuin University", "source_name": "Aoyama Gakuin University, Japan Sagamihara, Japan", "street_adddress": "\uff15\u4e01\u76ee-10-1 Fuchinobe, Chuo Ward, Sagamihara, Kanagawa Prefecture 252-5258, Japan", "lat": "35.56670000", "lng": "139.40225340", "type": "edu", "country": "Japan"}, {"name": "Hokkai Gakuen University Sapporo", "source_name": "Hokkai Gakuen University Sapporo, Japan", "street_adddress": "4 Chome-1-40 Asahimachi, Toyohira Ward, Sapporo, Hokkaido 062-0911, Japan", "lat": "43.04627140", "lng": "141.36802400", "type": "edu", "country": "Japan"}, {"name": "Yokohama National University", "source_name": "Yokohama National University, Yokohama, Japan", "street_adddress": "Japan, \u3012240-8501 Kanagawa Prefecture, Yokohama, Hodogaya-ku, \u5e38\u76e4\u53f0\uff17\uff19\u2212\uff11", "lat": "35.47465410", "lng": "139.58814660", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267878"]}, {"id": "77d51bea8f2511d2b039a6da3f5319857d6c7ee9", "title": "Human pose estimation using structural support vector machines", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.eecs.qmul.ac.uk/~sgg/papers/ChenGongXiang_ICCV_SISM2011.pdf", "http://www.researchgate.net/profile/Shaogang_Gong/publication/221429914_Human_pose_estimation_using_structural_support_vector_machines/links/5454b5660cf26d5090a5abe6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130340", "http://doi.org/10.1109/ICCVW.2011.6130340"]}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "fed58c1faf9af15e1215e47a432f84b840f42857", "title": "Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed5/8c1faf9af15e1215e47a432f84b840f42857.pdf"], "doi": []}, {"id": "af58701bdd28a49d234ba87d8f1b90d1f001184e", "title": "Part-based pose estimation with local and non-local contextual information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af58/701bdd28a49d234ba87d8f1b90d1f001184e.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "7280000cba3a3279454890372668362d00cf3ab0", "title": "Domain adaptation of articulated pose estimation via synthetic pose prior", "addresses": [{"name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "source_name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "street_adddress": "239-0847, Japan", "lat": "35.22487410", "lng": "139.67454810", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986820", "http://doi.org/10.23919/MVA.2017.7986820"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "title": "Fashion Landmark Detection in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03049.pdf"], "doi": []}, {"id": "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "title": "Learning a sequential search for landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_landmarks_cvpr2015.pdf", "http://vision.cs.uiuc.edu/projects/lssland/lsslandmark.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298964", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298964", "http://doi.org/10.1109/CVPR.2015.7298964"]}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "f266c3bb846ef13a8bf0d09a66461e1e77464475", "title": "Automatic Content Description and Annotation of Sport Images using Classification Techniques", "addresses": [{"name": "Ain shams university", "source_name": "Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt", "street_adddress": "\u0627\u0644\u0642\u0627\u0626\u062f\u060c El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.07825920", "lng": "31.28493840", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2908458"]}, {"id": "16be1bcce9a9cd94c571313da26590c80fcec5b2", "title": "Dancing like a superstar: Action guidance based on pose estimation and conditional pose alignment", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296494", "http://doi.org/10.1109/ICIP.2017.8296494"]}, {"id": "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "title": "Human Pose Estimation with Iterative Error Feedback", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.06550.pdf"], "doi": []}, {"id": "c24d1b707d2a8bf019e11dbf35c457384e044548", "title": "Stereo Pictorial Structure for 2D articulated human pose estimation", "addresses": [{"name": "University of C\u00f3rdoba", "source_name": "University of C\u00f3rdoba, Spain", "street_adddress": "Av. de Medina Azahara, 5, 14071 C\u00f3rdoba, Spain", "lat": "37.88469010", "lng": "-4.78850280", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-015-0742-6", "https://www.wikidata.org/entity/Q57588931"]}, {"id": "4543052aeaf52fdb01fced9b3ccf97827582cef5", "title": "Quantized Densely Connected U-Nets for Efficient Landmark Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02194.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "title": "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07495.pdf"], "doi": []}, {"id": "2e1ff08fb5790e3b5ba7864408628467795a9df4", "title": "Human Pose Estimation with Fields of Parts", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930331/esm1.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930331.pdf", "http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_22"]}, {"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "title": "Learning effective human pose estimation from inaccurate annotation", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995318"]}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "f3062992cb10107b9d1e3699c8a61d5281886c4b", "title": "Foreground Consistent Human Pose Estimation Using Branch and Bound", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f306/2992cb10107b9d1e3699c8a61d5281886c4b.pdf"], "doi": []}, {"id": "230aa8fe68068f2e64876bdf1c41d20b4923288f", "title": "Context aware model for articulated human pose estimation", "addresses": [{"name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences", "source_name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350948", "http://doi.org/10.1109/ICIP.2015.7350948"]}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "fd3131b370a81e25aa962d266b2b32922ea4e613", "title": "Tracking 3D human pose with large root node uncertainty", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.cs.swan.ac.uk/~csbcd/0794.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995502", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995502", "http://doi.org/10.1109/CVPR.2011.5995502"]}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "9a27d5efc7b74ba23c07d3a45f20285998bf1577", "title": "MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00104.pdf"], "doi": []}, {"id": "0441e485349cda6aee6fa64f11a39e8245eeac74", "title": "Silhouette-based object phenotype recognition using 3D shape priors", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/iccv2011_18_ckc_pheno_recognition_camera_ready.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/pheno_recog_iccv2011_longversion.pdf", "https://labicvl.github.io/docs/pubs/Chen_ICCV_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126221", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126221", "http://doi.org/10.1109/ICCV.2011.6126221"]}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "title": "EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd87/fea30b68ad1c9ebcb71a224c53cde3516adb.pdf"], "doi": []}, {"id": "0c56f414251d6c9f43623ee683dc6cae3be1045a", "title": "Towards Understanding Action Recognition", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/hjhuang/papers/JHMDB_ICCV_2013_corrected.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/jhuangICCV2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Jhuang_Towards_Understanding_Action_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751508", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.396", "http://doi.org/10.1109/ICCV.2013.396"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "title": "Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08985.pdf"], "doi": []}, {"id": "228408c76823355010bb13e5b3f32823b35a176c", "title": "Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2284/08c76823355010bb13e5b3f32823b35a176c.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "29be6e76d9ed777ca032c40a6ab374a44bde38bd", "title": "Latent SVMs for Human Detection with a Locally Affine Deformation Field", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e169/07d150677a4ca11271db668ccff2149e034b.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b7676adde75c6d1bcabf56c7e2f7fa484155e8a8", "title": "ChaLearn Looking at People Challenge 2014: Dataset and Results", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f8d8/4a358574c40664b10279e5b014347d5327d7.pdf"], "doi": []}, {"id": "100c452a508711c11ab643d52e54c441cf58403e", "title": "Fast Human Pose Estimation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05419.pdf"], "doi": []}, {"id": "484c2617471fd742c4806f9281e5add45c6831a7", "title": "LSTM Self-Supervision for Detailed Behavior Analysis", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Brattoli_LSTM_Self-Supervision_for_CVPR_2017_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1911875248/brattoli_buechler_cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.399", "http://doi.org/10.1109/CVPR.2017.399"]}, {"id": "87a66ccc68374ffb704ee6fb9fa7df369718095c", "title": "Multi-Person Pose Estimation with Local Joint-to-Person Associations", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08526.pdf"], "doi": []}, {"id": "d02b32b012ffba2baeb80dca78e7857aaeececb0", "title": "Human Pose Estimation : Extension and Application", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d02b/32b012ffba2baeb80dca78e7857aaeececb0.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "title": "Pose Machines: Articulated Pose Estimation via Inference Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67dc/de46f8188f3f0676b7529a2e5828ab611e4d.pdf"], "doi": []}, {"id": "6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c", "title": "Improving human body part detection using deep learning and motion consistency", "addresses": [{"name": "Institute of Infocomm Research, A-STAR Singapore", "source_name": "Institute of Infocomm Research, A-STAR Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838651", "http://doi.org/10.1109/ICARCV.2016.7838651"]}, {"id": "1e254f77ccbf3bd796ac3f60001384f59eba4ec2", "title": "Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Disney Research, Pittsburgh", "source_name": "Disney Research Pittsburgh, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1e25/4f77ccbf3bd796ac3f60001384f59eba4ec2.pdf"], "doi": []}, {"id": "97295e92dfe49f37de65c5130097ccab84cfe2f7", "title": "Inner Space Preserving Generative Pose Machine", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02104.pdf"], "doi": []}, {"id": "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "title": "Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05671.pdf"], "doi": []}, {"id": "4803b306597de49bbc8bf1a1d191063c2d2c9ebe", "title": "Human Pose Estimation Method Based on Flexible Model and Deep Learning", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3278035"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "fba89dd3240f49b3e5697e3665dc949a5d7ef31a", "title": "Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11975.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb", "title": "Multi-context Attention for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07432.pdf"], "doi": []}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "ce3edf04c9f0c9da462832cbf8c5a1982e3e6bf8", "title": "Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11147.pdf"], "doi": []}, {"id": "3884b78a06ccfde3249c16ac450b5254d033126a", "title": "Dual Path Networks for Multi-Person Human Pose Estimation", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.10192.pdf"], "doi": []}, {"id": "c0de99c5f15898e2d28f9946436fec2b831d4eae", "title": "ClothCap: seamless 4D clothing capture and retargeting", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3073711"]}, {"id": "537f8c50369490cc90303522dd4ab80100fa1e59", "title": "Exploring feature dimensionality reduction methods for enhancing automatic sport image annotation", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5417-z"]}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "c81b303005459285a5864ea4de71f77025cd5be5", "title": "Norm-Induced Entropies for Decision Forests", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045988", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.134", "http://doi.org/10.1109/WACV.2015.134"]}, {"id": "27caf667432ad7dbb01921696857303641b34f83", "title": "Entropy Driven Hierarchical Search for 3D Human Pose Estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a815/fae4af3e84fc091c813459e1bec46687a474.pdf"], "doi": []}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "b7a09eaadcb21bf9ab234d87c954e329518580c5", "title": "Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05708.pdf"], "doi": []}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "550c8162757b9fb649efab8529d86daa99700fb1", "title": "Athlete Pose Estimation by a Global-Local Network", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w2/papers/Hwang_Athlete_Pose_Estimation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014754", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.20", "http://doi.org/10.1109/CVPRW.2017.20"]}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "title": "DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06364.pdf"], "doi": []}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "d38af10096aa90dfccd7e4cec9757900bf6958bd", "title": "MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04067.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "309acdd149f5f0ea12acb103b36bb59e6e631671", "title": "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.00295.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "1a39ce3f624844a1288b6deff545f6c4d79c4fae", "title": "DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07131.pdf"], "doi": []}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "title": "Human Pose Estimation using Deep Consensus Voting", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08212.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "5d8c94a69414b119b245df4d959be99c7c3b9b61", "title": "A strong bilayer appearance model for human pose estimation from a high freedom still image", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532565", "http://doi.org/10.1109/ICIP.2016.7532565"]}, {"id": "54378aef6ec3423ad44d61de61b301be9f5c686d", "title": "Deep learning for visual understanding: A review", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://deeplearning.ir/wp-content/uploads/2016/07/Deep-learning-for-visual-understanding_-A-review.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.09.116"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa", "title": "Depth Sweep Regression Forests for Estimating 3D Human Pose from Images", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d8b/aae88347117cfc9e161d8f93bee3c98f3616.pdf"], "doi": []}, {"id": "1178beb48d666d7fc41b2d476f6a92450c0726c0", "title": "Challenges in multimodal gesture recognition", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.jmlr.org/papers/volume17/14-468/14-468.pdf"], "doi": ["http://jmlr.org/papers/v17/14-468.html"]}, {"id": "d675a54dd5e353f99a1bec3b2ddab925a6563653", "title": "Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10898.pdf"], "doi": []}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "title": "Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02179.pdf"], "doi": []}, {"id": "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "title": "Deep Fully-Connected Part-Based Models for Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4209/f140d64ce6fb891eb6ada26eaeb40af123e2.pdf"], "doi": []}, {"id": "aba742ca4edc7dd37ff481d12e4b94c153baae77", "title": "Pose-Guided Human Parsing with Deep Learned Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03881.pdf"], "doi": []}, {"id": "bd17484e0a6773a74c51c41e773e202080682b3b", "title": "2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation", "addresses": [{"name": "Kwangwoon University", "source_name": "Kwangwoon University, Seoul, Republic of Korea", "street_adddress": "20 Gwangun-ro, Wolgye 1(il)-dong, Nowon-gu, Seoul, South Korea", "lat": "37.61949650", "lng": "127.05969580", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03986.pdf"], "doi": []}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "title": "SFV: reinforcement learning of physical skills from videos", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3275014"]}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "1b73bd672c6abe6918f91812f4334db23189d1d6", "title": "Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00389.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "4696031ddcdfab8b768817fd974b601b6b68c7f1", "title": "3D Pose Estimation from a Single Monocular Image", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4696/031ddcdfab8b768817fd974b601b6b68c7f1.pdf"], "doi": []}, {"id": "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "title": "Learning to Localize Little Landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_cvpr2016_landmarks.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf", "http://vision.cs.illinois.edu/projects/litland/littleland.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780404", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.35", "http://doi.org/10.1109/CVPR.2016.35"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "d847d2b75bf301007a9e67889bdae5b147559ed3", "title": "Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03880.pdf"], "doi": []}, {"id": "1e768d4f8114969070dc2b8864c44ccbf7ca042f", "title": "Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919293", "http://doi.org/10.1109/LSP.2014.2362553"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b5b63c7b9ded97da404c404be0a47c3fd91fc477", "title": "Posterior constraints for double-counting problem in clustered pose estimation", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466781", "http://doi.org/10.1109/ICIP.2012.6466781"]}, {"id": "77b7572bf1426b0d2fa8d34fab41ca7f0086f28d", "title": "Human Pose Estimation by Exploiting Spatial and Temporal Constraints in Body-Part Configurations", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801901", "http://doi.org/10.1109/ACCESS.2016.2643439"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "title": "Accurate static pose estimation combining direct regression and geodesic extrema", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808959/1/Holt_FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553768", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553768", "http://doi.org/10.1109/FG.2013.6553768"]}, {"id": "a0f4ce26c8cec8d00e0250388f448570ac7dfc2e", "title": "CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00324.pdf"], "doi": []}, {"id": "95f641ddebc34740b7d44b0b8e8bff0163534891", "title": "Enhancing sports image search and retrieval using multi-modality ontology", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275328"]}, {"id": "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "title": "Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4065/d038ecbda579a0791aaf46fc62bbcba5b1f3.pdf"], "doi": []}, {"id": "a287643d3eddca3dcc09b3532f2b070a28d4a022", "title": "Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07420.pdf"], "doi": []}, {"id": "13d6585962fd165f6e6bf5f9fda0f0d73d7128f5", "title": "Creatures great and SMAL: Recovering the shape and motion of animals from video", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05804.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "45e8ef229fae18b0a2ab328037d8e520866c3c81", "title": "Learning Feature Pyramids for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01101.pdf"], "doi": []}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "5ad0e283c4c2aa7b9985012979835d0131fe73d8", "title": "Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08050.pdf"], "doi": []}, {"id": "6111832ed676ad0789d030577c87d4a539242bd3", "title": "CU-Net: Coupled U-Nets", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06521.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "title": "Subspace Procrustes Analysis", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "source_name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer de Sant Josep, 21, 23, 08800 Vilanova i la Geltr\u00fa, Barcelona, Spain", "lat": "41.22880090", "lng": "1.72194950", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "source_name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer Meta\u0140l\u00fargia, 11, 08800 Villanueva y Geltr\u00fa, Barcelona, Spain", "lat": "41.22311030", "lng": "1.73564710", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://humansensing.cs.cmu.edu/papers/subspace_pa.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w05/W05-31.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/subspace_pa.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0938-x", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2171&context=robotics"]}, {"id": "6ebfec00388b6975c8c38aed1ebe006eae79bcfe", "title": "Modeling Instance Appearance for Recognition-Can We Do Better Than EM ?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6ebf/ec00388b6975c8c38aed1ebe006eae79bcfe.pdf"], "doi": []}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "81fc46dd71121cfafbb11455745ae62f6eca0b25", "title": "Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81fc/46dd71121cfafbb11455745ae62f6eca0b25.pdf"], "doi": []}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "29cbbed59a47566851deb63602a34c08e9ad3645", "title": "Improving Multi-Person Pose Estimation using Label Correction", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03331.pdf"], "doi": []}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "5f7fd05f09dd6433cb273a1d33bdf75873509983", "title": "A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5f7f/d05f09dd6433cb273a1d33bdf75873509983.pdf"], "doi": []}, {"id": "a6270914cf5f60627a1332bcc3f5951c9eea3be0", "title": "Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02522.pdf"], "doi": []}, {"id": "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "title": "Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48c/71153265d6da7fbc4b16327320a5cbfa6cba.pdf"], "doi": []}, {"id": "93ece2d76dc69c7340c6e2c499b58c27dc9e3de7", "title": "Efficient pose machine based on parameter-sensitive hashing", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "source_name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Keji South 12th Rd, \u98de\u4e9a\u8fbe\u79d1\u6280\u5927\u53a63\u5c42\u30015-10\u5c42\u30011202", "lat": "22.53937100", "lng": "113.95574800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359590"]}, {"id": "a3ab3385a634dc6022dca37e65494081b908f41f", "title": "Pose Estimation Based on Pose Cluster and Candidates Recombination", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877637", "http://doi.org/10.1109/TCSVT.2014.2347511"]}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "title": "Personalizing Human Video Pose Estimation", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780703"]}, {"id": "545388d4a8e79cab605cea9b3e1ff1da0f848f8e", "title": "Fast Online Upper Body Pose Estimation from Video", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5453/88d4a8e79cab605cea9b3e1ff1da0f848f8e.pdf"], "doi": []}, {"id": "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "title": "Human Pose Estimation Using Body Parts Dependent Joint Regressors", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_humanpose2d_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d041.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/126/jgall_humanpose2d_cvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619235", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.391", "http://doi.org/10.1109/CVPR.2013.391"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "title": "Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d952/13a0ef820c93bf0a41e1ce24aea1dc9f137d.pdf"], "doi": []}, {"id": "31e8d53b144efe60be647f8d93e824bf8d0f4161", "title": "BodyNet: Volumetric Inference of 3D Human Body Shapes", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04875.pdf"], "doi": []}]} \ No newline at end of file +{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "dataset": {"key": "leeds_sports_pose", "name_short": "Leeds Sports Pose", "name_display": "Leeds Sports Pose", "name_full": "Leeds Sports Pose", "purpose": "dataset of sport poses", "comment": "The images have been scaled such that the most prominent person is roughly 150 pixels in length. Each image has been annotated with 14 joint locations. Left and right joints are consistently labelled from a person-centric viewpoint. Attributions and Flickr URLs for the original images can be found in the JPEG comment field of each image file.", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://sam.johnson.io/research/lsp.html", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "N", "names": "", "flickr_meta": "N", "year_start": "", "year_end": "", "year_published": "2010", "ongoing": "", "images": "2,000 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "pose", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "key": "leeds_sports_pose", "title": "Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation", "year": "2010", "pdf": ["http://www.bmva.org/bmvc/2010/conference/paper12/abstract12.pdf", "http://www.bmva.org/bmvc/2010/conference/paper12/paper12.pdf", "http://www.comp.leeds.ac.uk/mat4saj/publications/johnson10bmvc.pdf"], "address": "", "name": "Leeds Sports Pose", "doi": ["https://doi.org/10.5244/C.24.12"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "47382cb7f501188a81bb2e10cfd7aed20285f376", "title": "Articulated Pose Estimation Using Hierarchical Exemplar-Based Models", "addresses": [{"name": "Columbia University ", "source_name": "Columbia University in the City of New York", "street_adddress": "Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA", "lat": "40.80717720", "lng": "-73.96252798", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04118.pdf"], "doi": []}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "2bc5a49e6d8351e276cf5b37fcc0a6eecebd5797", "title": "3D Human pose estimation: A review of the literature and analysis of covariates", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["http://campus.pub.ro/lab7/bionescu/index_files/pub/CVIU_3DHumanPoseEstimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.002"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "title": "Structured Feature Learning for Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09065.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "307f0da392588b172a68512969d1fb61f85fbc0f", "title": "Kinect-supported dataset creation for human pose estimation", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2643195"]}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "70d17ec990bcd75f9a96eff90e0d2892d86957e8", "title": "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", "addresses": [{"name": "Cisco Systems, Inc., CA, USA", "source_name": "Cisco Systems, Inc., CA, USA", "street_adddress": "101 N Brand Blvd Suite 1700, Glendale, CA 91203, USA", "lat": "34.14683580", "lng": "-118.25544120", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243217"]}, {"id": "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "title": "Pose from Action: Unsupervised Learning of Pose Features based on Motion", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05420.pdf"], "doi": []}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "e73696016b43314a7bef6015dacbe702af472d96", "title": "End-to-End Recovery of Human Shape and Pose", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06584.pdf"], "doi": []}, {"id": "31c52ecc98ebf046df914fd113abcae334e1cf0e", "title": "Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network", "addresses": [{"name": "Aoyama Gakuin University", "source_name": "Aoyama Gakuin University, Japan Sagamihara, Japan", "street_adddress": "\uff15\u4e01\u76ee-10-1 Fuchinobe, Chuo Ward, Sagamihara, Kanagawa Prefecture 252-5258, Japan", "lat": "35.56670000", "lng": "139.40225340", "type": "edu", "country": "Japan"}, {"name": "Hokkai Gakuen University Sapporo", "source_name": "Hokkai Gakuen University Sapporo, Japan", "street_adddress": "4 Chome-1-40 Asahimachi, Toyohira Ward, Sapporo, Hokkaido 062-0911, Japan", "lat": "43.04627140", "lng": "141.36802400", "type": "edu", "country": "Japan"}, {"name": "Yokohama National University", "source_name": "Yokohama National University, Yokohama, Japan", "street_adddress": "Japan, \u3012240-8501 Kanagawa Prefecture, Yokohama, Hodogaya-ku, \u5e38\u76e4\u53f0\uff17\uff19\u2212\uff11", "lat": "35.47465410", "lng": "139.58814660", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267878"]}, {"id": "77d51bea8f2511d2b039a6da3f5319857d6c7ee9", "title": "Human pose estimation using structural support vector machines", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.eecs.qmul.ac.uk/~sgg/papers/ChenGongXiang_ICCV_SISM2011.pdf", "http://www.researchgate.net/profile/Shaogang_Gong/publication/221429914_Human_pose_estimation_using_structural_support_vector_machines/links/5454b5660cf26d5090a5abe6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130340", "http://doi.org/10.1109/ICCVW.2011.6130340"]}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "fed58c1faf9af15e1215e47a432f84b840f42857", "title": "Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed5/8c1faf9af15e1215e47a432f84b840f42857.pdf"], "doi": []}, {"id": "af58701bdd28a49d234ba87d8f1b90d1f001184e", "title": "Part-based pose estimation with local and non-local contextual information", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af58/701bdd28a49d234ba87d8f1b90d1f001184e.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "7280000cba3a3279454890372668362d00cf3ab0", "title": "Domain adaptation of articulated pose estimation via synthetic pose prior", "addresses": [{"name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "source_name": "NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan", "street_adddress": "239-0847, Japan", "lat": "35.22487410", "lng": "139.67454810", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986820", "http://doi.org/10.23919/MVA.2017.7986820"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "title": "Fashion Landmark Detection in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03049.pdf"], "doi": []}, {"id": "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "title": "Learning a sequential search for landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_landmarks_cvpr2015.pdf", "http://vision.cs.uiuc.edu/projects/lssland/lsslandmark.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298964", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298964", "http://doi.org/10.1109/CVPR.2015.7298964"]}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "f266c3bb846ef13a8bf0d09a66461e1e77464475", "title": "Automatic Content Description and Annotation of Sport Images using Classification Techniques", "addresses": [{"name": "Ain shams university", "source_name": "Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt", "street_adddress": "\u0627\u0644\u0642\u0627\u0626\u062f\u060c El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.07825920", "lng": "31.28493840", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2908458"]}, {"id": "16be1bcce9a9cd94c571313da26590c80fcec5b2", "title": "Dancing like a superstar: Action guidance based on pose estimation and conditional pose alignment", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296494", "http://doi.org/10.1109/ICIP.2017.8296494"]}, {"id": "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "title": "Human Pose Estimation with Iterative Error Feedback", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.06550.pdf"], "doi": []}, {"id": "c24d1b707d2a8bf019e11dbf35c457384e044548", "title": "Stereo Pictorial Structure for 2D articulated human pose estimation", "addresses": [{"name": "University of C\u00f3rdoba", "source_name": "University of C\u00f3rdoba, Spain", "street_adddress": "Av. de Medina Azahara, 5, 14071 C\u00f3rdoba, Spain", "lat": "37.88469010", "lng": "-4.78850280", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-015-0742-6", "https://www.wikidata.org/entity/Q57588931"]}, {"id": "4543052aeaf52fdb01fced9b3ccf97827582cef5", "title": "Quantized Densely Connected U-Nets for Efficient Landmark Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02194.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "008baae7037a47f69804c2eb8438d366a6e67486", "title": "3D Human Pose Estimation via Deep Learning from 2D Annotations", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cs.bc.edu/~hjiang/papers/conference/3dv16.pdf", "http://www.cs.bc.edu/~hjiang/papers/conference/3dv16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785134", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.84", "http://doi.org/10.1109/3DV.2016.84"]}, {"id": "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "title": "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07495.pdf"], "doi": []}, {"id": "2e1ff08fb5790e3b5ba7864408628467795a9df4", "title": "Human Pose Estimation with Fields of Parts", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930331/esm1.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930331.pdf", "http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_22"]}, {"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "title": "Learning effective human pose estimation from inaccurate annotation", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995318"]}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "f3062992cb10107b9d1e3699c8a61d5281886c4b", "title": "Foreground Consistent Human Pose Estimation Using Branch and Bound", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f306/2992cb10107b9d1e3699c8a61d5281886c4b.pdf"], "doi": []}, {"id": "230aa8fe68068f2e64876bdf1c41d20b4923288f", "title": "Context aware model for articulated human pose estimation", "addresses": [{"name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences", "source_name": "National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350948", "http://doi.org/10.1109/ICIP.2015.7350948"]}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "fd3131b370a81e25aa962d266b2b32922ea4e613", "title": "Tracking 3D human pose with large root node uncertainty", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://www.cs.swan.ac.uk/~csbcd/0794.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995502", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995502", "http://doi.org/10.1109/CVPR.2011.5995502"]}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "9a27d5efc7b74ba23c07d3a45f20285998bf1577", "title": "MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00104.pdf"], "doi": []}, {"id": "0441e485349cda6aee6fa64f11a39e8245eeac74", "title": "Silhouette-based object phenotype recognition using 3D shape priors", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/iccv2011_18_ckc_pheno_recognition_camera_ready.pdf", "http://mi.eng.cam.ac.uk/~yc301/files/pheno_recog_iccv2011_longversion.pdf", "https://labicvl.github.io/docs/pubs/Chen_ICCV_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126221", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126221", "http://doi.org/10.1109/ICCV.2011.6126221"]}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "title": "EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd87/fea30b68ad1c9ebcb71a224c53cde3516adb.pdf"], "doi": []}, {"id": "0c56f414251d6c9f43623ee683dc6cae3be1045a", "title": "Towards Understanding Action Recognition", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/hjhuang/papers/JHMDB_ICCV_2013_corrected.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/jhuangICCV2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Jhuang_Towards_Understanding_Action_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751508", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.396", "http://doi.org/10.1109/ICCV.2013.396"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "title": "Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08985.pdf"], "doi": []}, {"id": "228408c76823355010bb13e5b3f32823b35a176c", "title": "Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2284/08c76823355010bb13e5b3f32823b35a176c.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "29be6e76d9ed777ca032c40a6ab374a44bde38bd", "title": "Latent SVMs for Human Detection with a Locally Affine Deformation Field", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e169/07d150677a4ca11271db668ccff2149e034b.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b7676adde75c6d1bcabf56c7e2f7fa484155e8a8", "title": "ChaLearn Looking at People Challenge 2014: Dataset and Results", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f8d8/4a358574c40664b10279e5b014347d5327d7.pdf"], "doi": []}, {"id": "100c452a508711c11ab643d52e54c441cf58403e", "title": "Fast Human Pose Estimation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05419.pdf"], "doi": []}, {"id": "484c2617471fd742c4806f9281e5add45c6831a7", "title": "LSTM Self-Supervision for Detailed Behavior Analysis", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Brattoli_LSTM_Self-Supervision_for_CVPR_2017_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1911875248/brattoli_buechler_cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.399", "http://doi.org/10.1109/CVPR.2017.399"]}, {"id": "87a66ccc68374ffb704ee6fb9fa7df369718095c", "title": "Multi-Person Pose Estimation with Local Joint-to-Person Associations", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08526.pdf"], "doi": []}, {"id": "d02b32b012ffba2baeb80dca78e7857aaeececb0", "title": "Human Pose Estimation : Extension and Application", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d02b/32b012ffba2baeb80dca78e7857aaeececb0.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "title": "Pose Machines: Articulated Pose Estimation via Inference Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67dc/de46f8188f3f0676b7529a2e5828ab611e4d.pdf"], "doi": []}, {"id": "6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c", "title": "Improving human body part detection using deep learning and motion consistency", "addresses": [{"name": "Institute of Infocomm Research, A-STAR Singapore", "source_name": "Institute of Infocomm Research, A-STAR Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838651", "http://doi.org/10.1109/ICARCV.2016.7838651"]}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}, {"id": "1e254f77ccbf3bd796ac3f60001384f59eba4ec2", "title": "Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Disney Research, Pittsburgh", "source_name": "Disney Research Pittsburgh, Pittsburgh, PA, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1e25/4f77ccbf3bd796ac3f60001384f59eba4ec2.pdf"], "doi": []}, {"id": "97295e92dfe49f37de65c5130097ccab84cfe2f7", "title": "Inner Space Preserving Generative Pose Machine", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02104.pdf"], "doi": []}, {"id": "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "title": "Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05671.pdf"], "doi": []}, {"id": "4803b306597de49bbc8bf1a1d191063c2d2c9ebe", "title": "Human Pose Estimation Method Based on Flexible Model and Deep Learning", "addresses": [{"name": "Fuzhou University", "source_name": "Fuzhou University, Fuzhou, China", "street_adddress": "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "lat": "26.08185050", "lng": "119.28650170", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3278035"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "fba89dd3240f49b3e5697e3665dc949a5d7ef31a", "title": "Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11975.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb", "title": "Multi-context Attention for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07432.pdf"], "doi": []}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "ce3edf04c9f0c9da462832cbf8c5a1982e3e6bf8", "title": "Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11147.pdf"], "doi": []}, {"id": "3884b78a06ccfde3249c16ac450b5254d033126a", "title": "Dual Path Networks for Multi-Person Human Pose Estimation", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.10192.pdf"], "doi": []}, {"id": "c0de99c5f15898e2d28f9946436fec2b831d4eae", "title": "ClothCap: seamless 4D clothing capture and retargeting", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3073711"]}, {"id": "537f8c50369490cc90303522dd4ab80100fa1e59", "title": "Exploring feature dimensionality reduction methods for enhancing automatic sport image annotation", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5417-z"]}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "c81b303005459285a5864ea4de71f77025cd5be5", "title": "Norm-Induced Entropies for Decision Forests", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045988", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.134", "http://doi.org/10.1109/WACV.2015.134"]}, {"id": "27caf667432ad7dbb01921696857303641b34f83", "title": "Entropy Driven Hierarchical Search for 3D Human Pose Estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a815/fae4af3e84fc091c813459e1bec46687a474.pdf"], "doi": []}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "b7a09eaadcb21bf9ab234d87c954e329518580c5", "title": "Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05708.pdf"], "doi": []}, {"id": "5793b25e2492d47f5faf9b93b8c0fe36802de8b6", "title": "Robust Optimization for Deep Regression", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.06606.pdf"], "doi": []}, {"id": "550c8162757b9fb649efab8529d86daa99700fb1", "title": "Athlete Pose Estimation by a Global-Local Network", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w2/papers/Hwang_Athlete_Pose_Estimation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014754", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.20", "http://doi.org/10.1109/CVPRW.2017.20"]}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "title": "DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06364.pdf"], "doi": []}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "d38af10096aa90dfccd7e4cec9757900bf6958bd", "title": "MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04067.pdf"], "doi": []}, {"id": "1d0dcb458aa4d30b51f7c74b159be687f39120a0", "title": "Pose-Driven Deep Convolutional Model for Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08325.pdf"], "doi": []}, {"id": "309acdd149f5f0ea12acb103b36bb59e6e631671", "title": "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.00295.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "1a39ce3f624844a1288b6deff545f6c4d79c4fae", "title": "DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07131.pdf"], "doi": []}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "title": "Human Pose Estimation using Deep Consensus Voting", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08212.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "5d8c94a69414b119b245df4d959be99c7c3b9b61", "title": "A strong bilayer appearance model for human pose estimation from a high freedom still image", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532565", "http://doi.org/10.1109/ICIP.2016.7532565"]}, {"id": "54378aef6ec3423ad44d61de61b301be9f5c686d", "title": "Deep learning for visual understanding: A review", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://deeplearning.ir/wp-content/uploads/2016/07/Deep-learning-for-visual-understanding_-A-review.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.09.116"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa", "title": "Depth Sweep Regression Forests for Estimating 3D Human Pose from Images", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d8b/aae88347117cfc9e161d8f93bee3c98f3616.pdf"], "doi": []}, {"id": "1178beb48d666d7fc41b2d476f6a92450c0726c0", "title": "Challenges in multimodal gesture recognition", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.jmlr.org/papers/volume17/14-468/14-468.pdf"], "doi": ["http://jmlr.org/papers/v17/14-468.html"]}, {"id": "d675a54dd5e353f99a1bec3b2ddab925a6563653", "title": "Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10898.pdf"], "doi": []}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "title": "Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02179.pdf"], "doi": []}, {"id": "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "title": "Deep Fully-Connected Part-Based Models for Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4209/f140d64ce6fb891eb6ada26eaeb40af123e2.pdf"], "doi": []}, {"id": "aba742ca4edc7dd37ff481d12e4b94c153baae77", "title": "Pose-Guided Human Parsing with Deep Learned Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03881.pdf"], "doi": []}, {"id": "bd17484e0a6773a74c51c41e773e202080682b3b", "title": "2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation", "addresses": [{"name": "Kwangwoon University", "source_name": "Kwangwoon University, Seoul, Republic of Korea", "street_adddress": "20 Gwangun-ro, Wolgye 1(il)-dong, Nowon-gu, Seoul, South Korea", "lat": "37.61949650", "lng": "127.05969580", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03986.pdf"], "doi": []}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "5c14c0e2ca7f538e72b53163cd8774baa11df26c", "title": "SFV: reinforcement learning of physical skills from videos", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3275014"]}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "1b73bd672c6abe6918f91812f4334db23189d1d6", "title": "Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00389.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "4696031ddcdfab8b768817fd974b601b6b68c7f1", "title": "3D Pose Estimation from a Single Monocular Image", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4696/031ddcdfab8b768817fd974b601b6b68c7f1.pdf"], "doi": []}, {"id": "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "title": "Learning to Localize Little Landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_cvpr2016_landmarks.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf", "http://vision.cs.illinois.edu/projects/litland/littleland.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780404", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.35", "http://doi.org/10.1109/CVPR.2016.35"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "d847d2b75bf301007a9e67889bdae5b147559ed3", "title": "Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03880.pdf"], "doi": []}, {"id": "1e768d4f8114969070dc2b8864c44ccbf7ca042f", "title": "Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation", "addresses": [{"name": "Pohang University of Science and Technology", "source_name": "Pohang University of Science and Technology", "street_adddress": "\ud3ec\uc2a4\ud14d, 77, \uccad\uc554\ub85c, \ud6a8\uace1\ub3d9, \ub0a8\uad6c, \ud3ec\ud56d\uc2dc, \uacbd\ubd81, 37673, \ub300\ud55c\ubbfc\uad6d", "lat": "36.01773095", "lng": "129.32107509", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919293", "http://doi.org/10.1109/LSP.2014.2362553"]}, {"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "Stony Brook University Hospital", "source_name": "Stony Brook University Hospital", "street_adddress": "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"], "doi": []}, {"id": "b5b63c7b9ded97da404c404be0a47c3fd91fc477", "title": "Posterior constraints for double-counting problem in clustered pose estimation", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466781", "http://doi.org/10.1109/ICIP.2012.6466781"]}, {"id": "77b7572bf1426b0d2fa8d34fab41ca7f0086f28d", "title": "Human Pose Estimation by Exploiting Spatial and Temporal Constraints in Body-Part Configurations", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801901", "http://doi.org/10.1109/ACCESS.2016.2643439"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "title": "Accurate static pose estimation combining direct regression and geodesic extrema", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808959/1/Holt_FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553768", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553768", "http://doi.org/10.1109/FG.2013.6553768"]}, {"id": "a0f4ce26c8cec8d00e0250388f448570ac7dfc2e", "title": "CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00324.pdf"], "doi": []}, {"id": "95f641ddebc34740b7d44b0b8e8bff0163534891", "title": "Enhancing sports image search and retrieval using multi-modality ontology", "addresses": [{"name": "Ain Shams University", "source_name": "Faculty of Engineering, Ain Shams University, Cairo, Egypt", "street_adddress": "1 El Sarayat St.\u060c ABBASSEYA\u060c Al Waili, Cairo Governorate 11535, Egypt", "lat": "30.06456570", "lng": "31.27886080", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275328"]}, {"id": "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "title": "Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4065/d038ecbda579a0791aaf46fc62bbcba5b1f3.pdf"], "doi": []}, {"id": "a287643d3eddca3dcc09b3532f2b070a28d4a022", "title": "Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07420.pdf"], "doi": []}, {"id": "13d6585962fd165f6e6bf5f9fda0f0d73d7128f5", "title": "Creatures great and SMAL: Recovering the shape and motion of animals from video", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05804.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "45e8ef229fae18b0a2ab328037d8e520866c3c81", "title": "Learning Feature Pyramids for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01101.pdf"], "doi": []}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "5ad0e283c4c2aa7b9985012979835d0131fe73d8", "title": "Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08050.pdf"], "doi": []}, {"id": "6111832ed676ad0789d030577c87d4a539242bd3", "title": "CU-Net: Coupled U-Nets", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06521.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "title": "Subspace Procrustes Analysis", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "source_name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer de Sant Josep, 21, 23, 08800 Vilanova i la Geltr\u00fa, Barcelona, Spain", "lat": "41.22880090", "lng": "1.72194950", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "source_name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer Meta\u0140l\u00fargia, 11, 08800 Villanueva y Geltr\u00fa, Barcelona, Spain", "lat": "41.22311030", "lng": "1.73564710", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://humansensing.cs.cmu.edu/papers/subspace_pa.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w05/W05-31.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/subspace_pa.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0938-x", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2171&context=robotics"]}, {"id": "6ebfec00388b6975c8c38aed1ebe006eae79bcfe", "title": "Modeling Instance Appearance for Recognition-Can We Do Better Than EM ?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6ebf/ec00388b6975c8c38aed1ebe006eae79bcfe.pdf"], "doi": []}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "81fc46dd71121cfafbb11455745ae62f6eca0b25", "title": "Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81fc/46dd71121cfafbb11455745ae62f6eca0b25.pdf"], "doi": []}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "29cbbed59a47566851deb63602a34c08e9ad3645", "title": "Improving Multi-Person Pose Estimation using Label Correction", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03331.pdf"], "doi": []}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "5f7fd05f09dd6433cb273a1d33bdf75873509983", "title": "A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5f7f/d05f09dd6433cb273a1d33bdf75873509983.pdf"], "doi": []}, {"id": "a6270914cf5f60627a1332bcc3f5951c9eea3be0", "title": "Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02522.pdf"], "doi": []}, {"id": "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "title": "Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48c/71153265d6da7fbc4b16327320a5cbfa6cba.pdf"], "doi": []}, {"id": "93ece2d76dc69c7340c6e2c499b58c27dc9e3de7", "title": "Efficient pose machine based on parameter-sensitive hashing", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}, {"name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "source_name": "Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Keji South 12th Rd, \u98de\u4e9a\u8fbe\u79d1\u6280\u5927\u53a63\u5c42\u30015-10\u5c42\u30011202", "lat": "22.53937100", "lng": "113.95574800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359590"]}, {"id": "a3ab3385a634dc6022dca37e65494081b908f41f", "title": "Pose Estimation Based on Pose Cluster and Candidates Recombination", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877637", "http://doi.org/10.1109/TCSVT.2014.2347511"]}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "title": "Personalizing Human Video Pose Estimation", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780703"]}, {"id": "545388d4a8e79cab605cea9b3e1ff1da0f848f8e", "title": "Fast Online Upper Body Pose Estimation from Video", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5453/88d4a8e79cab605cea9b3e1ff1da0f848f8e.pdf"], "doi": []}, {"id": "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "title": "Human Pose Estimation Using Body Parts Dependent Joint Regressors", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_humanpose2d_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d041.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/126/jgall_humanpose2d_cvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619235", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.391", "http://doi.org/10.1109/CVPR.2013.391"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "title": "Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d952/13a0ef820c93bf0a41e1ce24aea1dc9f137d.pdf"], "doi": []}, {"id": "31e8d53b144efe60be647f8d93e824bf8d0f4161", "title": "BodyNet: Volumetric Inference of 3D Human Body Shapes", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04875.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/leeds_sports_pose_extended.json b/site/datasets/final/leeds_sports_pose_extended.json index 407de76d..b9164946 100644 --- a/site/datasets/final/leeds_sports_pose_extended.json +++ b/site/datasets/final/leeds_sports_pose_extended.json @@ -1 +1 @@ -{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "dataset": {"key": "leeds_sports_pose_extended", "name_short": "Leeds Sports Pose Extended", "name_display": "Leeds Sports Pose Extended", "name_full": "Leeds Sports Pose Extended", "purpose": "extended dataset of sport poses", "comment": "this is not a derivative, it's a new set", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://sam.johnson.io/research/lspet.html", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "N", "names": "", "flickr_meta": "N", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "10,000 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "pose", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "berit, was error on image width", "derivative_of": "", "": ""}, "paper": {"paper_id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "key": "leeds_sports_pose_extended", "title": "Learning effective human pose estimation from inaccurate annotation", "year": "2011", "pdf": [], "address": {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}, "name": "Leeds Sports Pose Extended", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995318"]}, "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "additional_papers": [], "citations": [{"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "a102edaa9fd458316637ce51a0b7aba2ee651637", "title": "Learning Human Poses from Actions", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09075.pdf"], "doi": []}, {"id": "723f879b93097c22ffa4fe6b587d3a070a67136b", "title": "Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer IAIS, Sankt Augustin, Germany", "source_name": "Fraunhofer IAIS, Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/723f/879b93097c22ffa4fe6b587d3a070a67136b.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "8189e4f5fc09ae691c77bbd0d4e09b8853b02edf", "title": "Pose estimation of anime/manga characters: a case for synthetic data", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011552"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "5830e0816667e08bb0efca538d892ea329307daa", "title": "Filling the Joints : Completion and Recovery of Incomplete 3 D Human Poses \u2020", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5830/e0816667e08bb0efca538d892ea329307daa.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "60580f3edc3df1e869b234b88a66d6791c2d5d43", "title": "Activity recognition for asd children based on joints estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "Liaoning Shihua University", "source_name": "Liaoning Shihua University, China", "street_adddress": "1 Dandong Rd West Section, Wanghua Qu, Fushun Shi, Liaoning Sheng, China, 113000", "lat": "41.85635800", "lng": "123.79138700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8123076"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "490bd6dc220b42a706a919166dec7620a1c663f7", "title": "Heimdallr: a dataset for sport analysis", "addresses": [{"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910621"]}, {"id": "134dd3bb637b51c61fa9d2332f11e39efc0b359a", "title": "High-level activity learning and recognition in structured environments", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/134d/d3bb637b51c61fa9d2332f11e39efc0b359a.pdf"], "doi": []}, {"id": "4903156f9f0edae78c24f9b9b3348a3a4d20384f", "title": "Automated vision-based analysis of levodopa-induced dyskinesia with deep learning", "addresses": [{"name": "TRI-UHN, Toronto, Ontario, Canada", "source_name": "TRI-UHN, Toronto, ON M5S2E4 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "source_name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "source_name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "street_adddress": "399 Bathurst St, Toronto, ON M5T 2S8, Canada", "lat": "43.65346670", "lng": "-79.40523870", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8037580", "http://doi.org/10.1109/EMBC.2017.8037580", "https://www.ncbi.nlm.nih.gov/pubmed/29060621"]}, {"id": "c03c16668426d8b069e75cb440686e12a9adbcd7", "title": "Deep Unsupervised Similarity Learning Using Partially Ordered Sets", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02268.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "832377d50d133da3514ae3c51c0e6043ab856eea", "title": "Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03932.pdf"], "doi": []}, {"id": "0f4724cc069609a9544ca7d9a429b52cfe89c182", "title": "PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08225.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a", "title": "Unsupervised construction of human body models Action editor :", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90a2/c7db91c3a2ad1249a4c9e6d7d872529cae6a.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1", "title": "MonoPerfCap : Human Performance Capture from Monocular Video WEIPENGXU , AVISHEKCHATTERJEE , MICHAELZOLLH\u00d6FER , HELGERHODIN , DUSHYANTMEHTA", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cc5a/1cf7ad9d644f21a5df799ffbcb8d1e24abe1.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "d8b251cbcda6289bbeaff56692da963aa5a80cd2", "title": "Multi-Task Multi-Sample Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8b2/51cbcda6289bbeaff56692da963aa5a80cd2.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "9c54c038664ec0c167211e9855a2275a97101708", "title": "Tracking Human Pose Using Max-Margin Markov Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology, Sydney", "source_name": "University of Technology, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226826", "http://doi.org/10.1109/TIP.2015.2473662", "https://www.ncbi.nlm.nih.gov/pubmed/26336122"]}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "93a28e5131a762aeb888b76bcc6689e8696ab8d2", "title": "Pose Embeddings: A Deep Architecture for Learning to Match Human Poses", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.00302.pdf"], "doi": []}, {"id": "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "title": "Recurrent Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.02914.pdf"], "doi": []}, {"id": "ee2217f9d22d6a18aaf97f05768035c38305d1fa", "title": "Detection of facial parts via deformable part model using part annotation", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415501", "http://doi.org/10.1109/APSIPA.2015.7415501"]}, {"id": "29963f39e4bfd074d30a94b5150b2bd0afb4ee16", "title": "People Watching: Human Actions as a Cue for Single View Geometry", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "source_name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/dfouhey_people.pdf", "http://graphics.cs.cmu.edu/projects/peopleWatching/dfouhey_people.pdf", "http://ri.cmu.edu/pub_files/2012/10/people.pdf", "http://videolectures.net/site/normal_dl/tag=725518/eccv2012_fouhey_geometry_01.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/banner-expt.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/venkatesh-paper.pdf", "http://vision.stanford.edu/teaching/cs331_fall12/lecture_notes/cs331_notes7.pdf", "http://www.cs.cmu.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf", "http://www.di.ens.fr/willow/pdfscurrent/fouhey_ECCV12.pdf", "http://www.di.ens.fr/~josef/publications/fouhey12.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0710-z", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1774&context=robotics"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "1c7a050394371bcb064868dfe681ff4c29ce2101", "title": "Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "113c22eed8383c74fe6b218743395532e2897e71", "title": "MODEC: Multimodal Decomposable Models for Human Pose Estimation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~taskar/pubs/modec_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d674.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sapp_MODEC_Multimodal_Decomposable_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619315", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.471", "http://doi.org/10.1109/CVPR.2013.471"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "b58852921f43412f5ed1616135270572b5862107", "title": "Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies", "addresses": [{"name": "Inria Grenoble-Rh\u00f4ne-Alpes, France", "source_name": "LEAR Project-Team, Inria Grenoble-Rh\u00f4ne-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/alahari/papers/seguin15.pdf", "http://www.di.ens.fr/willow/research/stereoseg/seguin15.pdf", "http://www.di.ens.fr/~josef/publications/Seguin15.pdf", "https://hal.inria.fr/hal-01089660/file/pose_and_segm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6951494", "http://doi.org/10.1109/TPAMI.2014.2369050", "https://www.ncbi.nlm.nih.gov/pubmed/26353001", "https://www.wikidata.org/entity/Q50857566"]}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "0f3b3688af4e87b27ad38bf70aeffb64288bfe27", "title": "Unsupervised Construction of Human Body Models Using Principles of Organic Computing.", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03724.pdf"], "doi": []}, {"id": "0f322826b609c03f0d4eea735999fd37a4cabfbf", "title": "Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Engineering in Hubei University of Technology", "source_name": "Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China", "street_adddress": "Hongshan, Wuhan, China", "lat": "30.48176100", "lng": "114.31096000", "type": "edu", "country": "China"}, {"name": "Engineering in Wuhan University of Technology", "source_name": "Engineering in Wuhan University of Technology, Wuhan, China", "street_adddress": "China, Hubei, Wuhan, Wuchang, \u4e34\u6c5f\u5927\u9053", "lat": "30.54275500", "lng": "114.29240300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007721"]}, {"id": "28795f32b324eb3601e9a8c1ce93335691e120f3", "title": "CliqueCNN: Deep Unsupervised Exemplar Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08792.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1", "title": "Focus On What's Important: Self-Attention Model for Human Pose Estimation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08371.pdf"], "doi": []}, {"id": "95deb62b82ede5c6732c5c498d3f9452866eaba7", "title": "Unsupervised Video Understanding by Reconciliation of Posture Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01191.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "b7291fe7fb5480059bf56bf71c5bd54600080752", "title": "Occlusion-free appearance modeling of body parts for human pose estimation", "addresses": [{"name": "NAIST", "source_name": "NAIST", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153195", "http://doi.org/10.1109/MVA.2015.7153195"]}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "d1e1c489ffe0331313e9c626a971bbaacc633774", "title": "Cheating behavior detection based-on pictorial structure model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "USTECH (Beijing) Technology Co. Ltd., China", "source_name": "USTECH(Beijing) Technology Co. Ltd., China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6896205"]}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "47e388dcd33feda1dadac82cd60fd7f7fb599594", "title": "Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2015/attribute_grammar_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410630", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.273", "http://doi.org/10.1109/ICCV.2015.273"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "df4b148b89c3e19d11e53dd2102599add3a9048b", "title": "Human pose estimation using motion priors and ensemble models", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8355005"]}, {"id": "df9bad65bb11cdf9cff33425a3943525b2666ea4", "title": "Hardmining Training Via Self-Adversarial Network for Human Pose Estimation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623378"]}, {"id": "96b4124cf7626301ed3bb2d2b2233a490804e35e", "title": "Saliency-Based Deformable Model for Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/96b4/124cf7626301ed3bb2d2b2233a490804e35e.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "c780747801743a2c47512ec406c43b2073eb6587", "title": "Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03399.pdf"], "doi": []}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "44f18ef0800e276617e458bc21502947f35a7f94", "title": "EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.00142.pdf"], "doi": []}, {"id": "7b8ed16ca5c03d21b0b2e56d9ee5cc24d668625e", "title": "Max-covering scheme for gesture recognition of Chinese traffic police", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-014-0383-9"]}, {"id": "5b4fddc0b86deea2fc139c43ee07892ad211a2dd", "title": "Compositional Human Pose Regression", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00159.pdf"], "doi": []}, {"id": "b769007cb6931464168f63ebb4571e46d8c804b7", "title": "Human Pose Estimation and Activity Classification Using Convolutional Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b769/007cb6931464168f63ebb4571e46d8c804b7.pdf"], "doi": []}, {"id": "393a62cab9e2a1cc82c1663fdbbf1aefb781c36b", "title": "Chained Predictions Using Convolutional Neural Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02346.pdf"], "doi": []}, {"id": "085c61ad31208717a6bc28059708ebdebbb1ca43", "title": "Gesture recognition of traffic police based on static and dynamic descriptor fusion", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3497-9"]}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "b8f1d51fb48655ee38fc4634d016cffa817619ae", "title": "A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3197791"]}, {"id": "6911686f00c99c51c21f057c45d561c88027f676", "title": "Articulated pose estimation with parts connectivity using discriminative local oriented contours", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/CVPR2012.pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248049", "http://doi.org/10.1109/CVPR.2012.6248049"]}, {"id": "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "title": "Deep Unsupervised Learning of Visual Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08562.pdf"], "doi": []}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "6049a381a0b79a90344306a885f118b47936ac9f", "title": "Occlusion-robust model learning for human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486552", "http://doi.org/10.1109/ACPR.2015.7486552"]}, {"id": "07a65c9368d41a07e9ff1065e5a76d69178008f7", "title": "Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7070741", "http://doi.org/10.1109/TNNLS.2015.2411287", "https://www.ncbi.nlm.nih.gov/pubmed/25826809"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "58d821874f48c3ce748b523f7defdfb72a608392", "title": "Human body segmentation based on shape constraint", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0829-3"]}]} \ No newline at end of file +{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "dataset": {"key": "leeds_sports_pose_extended", "name_short": "Leeds Sports Pose Extended", "name_display": "Leeds Sports Pose Extended", "name_full": "Leeds Sports Pose Extended", "purpose": "extended dataset of sport poses", "comment": "this is not a derivative, it's a new set", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://sam.johnson.io/research/lspet.html", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "N", "names": "", "flickr_meta": "N", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "10,000 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "pose", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "berit, was error on image width", "derivative_of": "", "": ""}, "paper": {"paper_id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "key": "leeds_sports_pose_extended", "title": "Learning effective human pose estimation from inaccurate annotation", "year": "2011", "pdf": [], "address": {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}, "name": "Leeds Sports Pose Extended", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995318"]}, "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "additional_papers": [], "citations": [{"id": "26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa", "title": "Customer pose estimation using orientational spatio-temporal network from surveillance camera", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0570-9"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "a84934a2db769b7523399c8eaf6d2d7582415c5c", "title": "Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d441/ed94bb0fda89d7d5268876ff48a58db1e761.pdf"], "doi": []}, {"id": "648d6b3e30f2fcb1abcd797b60a45c22f212de0f", "title": "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486604"]}, {"id": "a102edaa9fd458316637ce51a0b7aba2ee651637", "title": "Learning Human Poses from Actions", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09075.pdf"], "doi": []}, {"id": "723f879b93097c22ffa4fe6b587d3a070a67136b", "title": "Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer IAIS, Sankt Augustin, Germany", "source_name": "Fraunhofer IAIS, Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/723f/879b93097c22ffa4fe6b587d3a070a67136b.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "3615bbdd4fe81acd9e5d166af731b5556b19a2cd", "title": "Efficient object localization using Convolutional Networks", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4280.pdf"], "doi": []}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "8189e4f5fc09ae691c77bbd0d4e09b8853b02edf", "title": "Pose estimation of anime/manga characters: a case for synthetic data", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011552"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "5830e0816667e08bb0efca538d892ea329307daa", "title": "Filling the Joints : Completion and Recovery of Incomplete 3 D Human Poses \u2020", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5830/e0816667e08bb0efca538d892ea329307daa.pdf"], "doi": []}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8", "title": "Implicit models for automatic pose estimation in static images", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf54/d15a176ac0d8e30eb0af2fdbb3a9908064f8.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"], "doi": []}, {"id": "11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff", "title": "Efficient modeling by selecting learning samples in human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958917", "http://doi.org/10.1109/MLSP.2014.6958917"]}, {"id": "2031b062f4c41f43a32835430b1d55a422baa564", "title": "VNect: real-time 3D human pose estimation with a single RGB camera", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01583.pdf"], "doi": []}, {"id": "60580f3edc3df1e869b234b88a66d6791c2d5d43", "title": "Activity recognition for asd children based on joints estimation", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "Liaoning Shihua University", "source_name": "Liaoning Shihua University, China", "street_adddress": "1 Dandong Rd West Section, Wanghua Qu, Fushun Shi, Liaoning Sheng, China, 113000", "lat": "41.85635800", "lng": "123.79138700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8123076"]}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "8f941592d46b98885781060e41cc199dae0690a3", "title": "Integral customer pose estimation using body orientation and visibility mask", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5839-2"]}, {"id": "490bd6dc220b42a706a919166dec7620a1c663f7", "title": "Heimdallr: a dataset for sport analysis", "addresses": [{"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910621"]}, {"id": "134dd3bb637b51c61fa9d2332f11e39efc0b359a", "title": "High-level activity learning and recognition in structured environments", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/134d/d3bb637b51c61fa9d2332f11e39efc0b359a.pdf"], "doi": []}, {"id": "4903156f9f0edae78c24f9b9b3348a3a4d20384f", "title": "Automated vision-based analysis of levodopa-induced dyskinesia with deep learning", "addresses": [{"name": "TRI-UHN, Toronto, Ontario, Canada", "source_name": "TRI-UHN, Toronto, ON M5S2E4 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "source_name": "TRI-UHN, Toronto, ON, M5G2A2 Canada", "street_adddress": "550 University Ave, Toronto, ON M5G 2A2, Canada", "lat": "43.65666030", "lng": "-79.38991780", "type": "edu", "country": "Canada"}, {"name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "source_name": "TWH-UHN, Toronto, ON, M5S1A8 Canada", "street_adddress": "399 Bathurst St, Toronto, ON M5T 2S8, Canada", "lat": "43.65346670", "lng": "-79.40523870", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8037580", "http://doi.org/10.1109/EMBC.2017.8037580", "https://www.ncbi.nlm.nih.gov/pubmed/29060621"]}, {"id": "c03c16668426d8b069e75cb440686e12a9adbcd7", "title": "Deep Unsupervised Similarity Learning Using Partially Ordered Sets", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02268.pdf"], "doi": []}, {"id": "94e6d270f96778856991ec66ffcbef731957ef12", "title": "Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures", "addresses": [{"name": "Computer Vision Center, Barcelona, Spain", "source_name": "Computer Vision Center, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-015-0869-y"]}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "832377d50d133da3514ae3c51c0e6043ab856eea", "title": "Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03932.pdf"], "doi": []}, {"id": "0f4724cc069609a9544ca7d9a429b52cfe89c182", "title": "PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08225.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a", "title": "Unsupervised construction of human body models Action editor :", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90a2/c7db91c3a2ad1249a4c9e6d7d872529cae6a.pdf"], "doi": []}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9", "title": "MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7963.pdf"], "doi": []}, {"id": "cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1", "title": "MonoPerfCap : Human Performance Capture from Monocular Video WEIPENGXU , AVISHEKCHATTERJEE , MICHAELZOLLH\u00d6FER , HELGERHODIN , DUSHYANTMEHTA", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cc5a/1cf7ad9d644f21a5df799ffbcb8d1e24abe1.pdf"], "doi": []}, {"id": "413c98ff2d95b5b945825268fd8ffdc65880f715", "title": "Human Pose Estimation in Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/2130(CR).pdf", "http://crcv.ucf.edu/papers/2130(CR).pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Human_Pose_Estimation_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410590", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.233", "http://doi.org/10.1109/ICCV.2015.233"]}, {"id": "d8b251cbcda6289bbeaff56692da963aa5a80cd2", "title": "Multi-Task Multi-Sample Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d8b2/51cbcda6289bbeaff56692da963aa5a80cd2.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "9c54c038664ec0c167211e9855a2275a97101708", "title": "Tracking Human Pose Using Max-Margin Markov Models", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology, Sydney", "source_name": "University of Technology, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226826", "http://doi.org/10.1109/TIP.2015.2473662", "https://www.ncbi.nlm.nih.gov/pubmed/26336122"]}, {"id": "cc18b36be217e4640a20d55bd69b790b6d0f9192", "title": "Human Pose Estimation Based on Step Deep Convolution Neural Network", "addresses": [{"name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University", "source_name": "Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui University, Hefei, 230039, China", "street_adddress": "327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.85562500", "lng": "117.27557000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633110"]}, {"id": "0a7d081df9da6562a0c5459cb561f5bea0399f58", "title": "Pose Estimation With Segmentation Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6541974", "http://doi.org/10.1109/TIP.2013.2268975", "https://www.ncbi.nlm.nih.gov/pubmed/23797249", "https://www.wikidata.org/entity/Q44820238"]}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "93a28e5131a762aeb888b76bcc6689e8696ab8d2", "title": "Pose Embeddings: A Deep Architecture for Learning to Match Human Poses", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.00302.pdf"], "doi": []}, {"id": "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "title": "Recurrent Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.02914.pdf"], "doi": []}, {"id": "ee2217f9d22d6a18aaf97f05768035c38305d1fa", "title": "Detection of facial parts via deformable part model using part annotation", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415501", "http://doi.org/10.1109/APSIPA.2015.7415501"]}, {"id": "29963f39e4bfd074d30a94b5150b2bd0afb4ee16", "title": "People Watching: Human Actions as a Cue for Single View Geometry", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "source_name": "WILLOW Project, D\u00e9partement d\u2019Informatique de l\u2019\u00c9cole Normale Sup\u00e9rieure, ENS/INRIA/CNRS UMR 8548, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/dfouhey_people.pdf", "http://graphics.cs.cmu.edu/projects/peopleWatching/dfouhey_people.pdf", "http://ri.cmu.edu/pub_files/2012/10/people.pdf", "http://videolectures.net/site/normal_dl/tag=725518/eccv2012_fouhey_geometry_01.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/banner-expt.pdf", "http://vision.cs.utexas.edu/381V-spring2016/slides/venkatesh-paper.pdf", "http://vision.stanford.edu/teaching/cs331_fall12/lecture_notes/cs331_notes7.pdf", "http://www.cs.cmu.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf", "http://www.di.ens.fr/willow/pdfscurrent/fouhey_ECCV12.pdf", "http://www.di.ens.fr/~josef/publications/fouhey12.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2014/pwijcv/pw_IJCV_preprint.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0710-z", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1774&context=robotics"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "1c7a050394371bcb064868dfe681ff4c29ce2101", "title": "Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "508d5e0ef6cbce1997d968c5d4534a7baba84948", "title": "Multi-view Pictorial Structures for 3D Human Pose Estimation", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/508d/5e0ef6cbce1997d968c5d4534a7baba84948.pdf"], "doi": []}, {"id": "113c22eed8383c74fe6b218743395532e2897e71", "title": "MODEC: Multimodal Decomposable Models for Human Pose Estimation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~taskar/pubs/modec_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d674.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sapp_MODEC_Multimodal_Decomposable_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619315", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.471", "http://doi.org/10.1109/CVPR.2013.471"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "e22e848d3bbe8e75bba09203b70bdb1324dad471", "title": "A Limb-Based Graphical Model for Human Pose Estimation", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803546", "http://doi.org/10.1109/TSMC.2016.2639788"]}, {"id": "b58852921f43412f5ed1616135270572b5862107", "title": "Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies", "addresses": [{"name": "Inria Grenoble-Rh\u00f4ne-Alpes, France", "source_name": "LEAR Project-Team, Inria Grenoble-Rh\u00f4ne-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/alahari/papers/seguin15.pdf", "http://www.di.ens.fr/willow/research/stereoseg/seguin15.pdf", "http://www.di.ens.fr/~josef/publications/Seguin15.pdf", "https://hal.inria.fr/hal-01089660/file/pose_and_segm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6951494", "http://doi.org/10.1109/TPAMI.2014.2369050", "https://www.ncbi.nlm.nih.gov/pubmed/26353001", "https://www.wikidata.org/entity/Q50857566"]}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "afb3bc6854003c7cc9e94cb16d62ef353b5a6569", "title": "Human layout estimation using structured output learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9dba/3d45ddadd51f37607078a58db0c7d732dd72.pdf"], "doi": []}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "0f3b3688af4e87b27ad38bf70aeffb64288bfe27", "title": "Unsupervised Construction of Human Body Models Using Principles of Organic Computing.", "addresses": [{"name": "Ruhr-University Bochum", "source_name": "Ruhr-University Bochum", "street_adddress": "RUB, 150, Universit\u00e4tsstra\u00dfe, Ruhr-Universit\u00e4t, Querenburg, Bochum-S\u00fcd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland", "lat": "51.44415765", "lng": "7.26096541", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03724.pdf"], "doi": []}, {"id": "0f322826b609c03f0d4eea735999fd37a4cabfbf", "title": "Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Engineering in Hubei University of Technology", "source_name": "Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China", "street_adddress": "Hongshan, Wuhan, China", "lat": "30.48176100", "lng": "114.31096000", "type": "edu", "country": "China"}, {"name": "Engineering in Wuhan University of Technology", "source_name": "Engineering in Wuhan University of Technology, Wuhan, China", "street_adddress": "China, Hubei, Wuhan, Wuchang, \u4e34\u6c5f\u5927\u9053", "lat": "30.54275500", "lng": "114.29240300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007721"]}, {"id": "28795f32b324eb3601e9a8c1ce93335691e120f3", "title": "CliqueCNN: Deep Unsupervised Exemplar Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08792.pdf"], "doi": []}, {"id": "da3708836813fece4170585f2f9248a34c6ad183", "title": "Computer Vision -- ACCV 2014", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26480530", "lng": "11.66886010", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-16808-1"]}, {"id": "5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1", "title": "Focus On What's Important: Self-Attention Model for Human Pose Estimation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08371.pdf"], "doi": []}, {"id": "95deb62b82ede5c6732c5c498d3f9452866eaba7", "title": "Unsupervised Video Understanding by Reconciliation of Posture Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01191.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "26919156cec1cc5bec03f63f566c934b55b682cd", "title": "From Pictorial Structures to deformable structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.brown.edu/people/zuffi/Site/Welcome_files/2012_Zuffi_CVPR.pdf", "http://files.is.tue.mpg.de/szuffi/ZuffiCVPR2012.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/81/posterDS_CVPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248098", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248098", "http://doi.org/10.1109/CVPR.2012.6248098"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "b7291fe7fb5480059bf56bf71c5bd54600080752", "title": "Occlusion-free appearance modeling of body parts for human pose estimation", "addresses": [{"name": "NAIST", "source_name": "NAIST", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153195", "http://doi.org/10.1109/MVA.2015.7153195"]}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "453febab65d4047e04b320daf8877bf5a018b6a8", "title": "Human pose estimation based on human limbs", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899752", "http://doi.org/10.1109/ICPR.2016.7899752"]}, {"id": "d1e1c489ffe0331313e9c626a971bbaacc633774", "title": "Cheating behavior detection based-on pictorial structure model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "USTECH (Beijing) Technology Co. Ltd., China", "source_name": "USTECH(Beijing) Technology Co. Ltd., China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6896205"]}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "47e388dcd33feda1dadac82cd60fd7f7fb599594", "title": "Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Park_Attributed_Grammars_for_ICCV_2015_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2015/attribute_grammar_ICCV2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410630", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.273", "http://doi.org/10.1109/ICCV.2015.273"]}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "df4b148b89c3e19d11e53dd2102599add3a9048b", "title": "Human pose estimation using motion priors and ensemble models", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8355005"]}, {"id": "df9bad65bb11cdf9cff33425a3943525b2666ea4", "title": "Hardmining Training Via Self-Adversarial Network for Human Pose Estimation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623378"]}, {"id": "96b4124cf7626301ed3bb2d2b2233a490804e35e", "title": "Saliency-Based Deformable Model for Pedestrian Detection", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Research Institute of Wuhan University in Shenzhen", "source_name": "Research Institute of Wuhan University in Shenzhen, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/96b4/124cf7626301ed3bb2d2b2233a490804e35e.pdf"], "doi": []}, {"id": "7fbee617687fb0ad9e4562a33bd2007c1c438992", "title": "ORGM: Occlusion Relational Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7782843", "http://doi.org/10.1109/TIP.2016.2639441", "https://www.ncbi.nlm.nih.gov/pubmed/28113316", "https://www.wikidata.org/entity/Q39005214"]}, {"id": "2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549", "title": "Why Design Matters: Crowdsourcing of Complex Tasks", "addresses": [{"name": "Simula Research Laboratory & University of Oslo", "source_name": "Simula Research Laboratory & University of Oslo, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2810190"]}, {"id": "c780747801743a2c47512ec406c43b2073eb6587", "title": "Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03399.pdf"], "doi": []}, {"id": "0b70facac4d10c7c73e7fdf3a85848ce429d98ab", "title": "Segmentation features, visibility modeling and shared parts for object detection", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0b70/facac4d10c7c73e7fdf3a85848ce429d98ab.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "d4f9b24fbf6cc5b7c599f9847e4cf76f358797e4", "title": "A Review of Human Pose Estimation from Single Image", "addresses": [{"name": "Institute of Smart City Shanghai University", "source_name": "Institute of Smart City Shanghai University, Shanghai, China", "street_adddress": "266 Jufengyuan Rd, Baoshan Qu, Shanghai Shi, China", "lat": "31.31480360", "lng": "121.38274600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455796"]}, {"id": "09fd76c02abdd1bca7b98ab9fa66450cec33b9dc", "title": "User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/983f/0dc9b03b234cbf1faad6399dad529463895a.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "0cb5a80d9ddc9876c73b6013fa927a8202736349", "title": "Hierarchical Contextual Refinement Networks for Human Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482293", "http://doi.org/10.1109/TIP.2018.2872628", "https://www.ncbi.nlm.nih.gov/pubmed/30296223"]}, {"id": "9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625", "title": "Torso orientation: A new clue for occlusion-aware human pose estimation", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7760380", "http://doi.org/10.1109/EUSIPCO.2016.7760380"]}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "954e5ecd158a38c03a38232dbdbae37dff6dda66", "title": "An Evaluation of Gamesourced Data for Human Pose Estimation", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2629465"]}, {"id": "de1b83d1c7df1dcb39f9efcac443e87d17752f7c", "title": "Understanding holistic human pose using class-specific convolutional neural network", "addresses": [{"name": "Sahand University of Technology", "source_name": "Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran", "street_adddress": "Sahand, East Azerbaijan Province, Iran", "lat": "37.92842770", "lng": "46.14489100", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5617-1"]}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "8476f4121e495a99316d634c32e4c82aa3f8dbb8", "title": "On the use of convolutional neural networks for graphical model-based human pose estimation", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849801"]}, {"id": "b999364980e4c21d9c22cc5a9f14501432999ca4", "title": "Human action recognition in videos with articulated pose information by deep networks", "addresses": [{"name": "University of the Algarve", "source_name": "Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal", "street_adddress": "Estr. da Penha 139, 8005-139 Faro, Portugal", "lat": "37.04397130", "lng": "-7.97220790", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-018-0727-y"]}, {"id": "44f18ef0800e276617e458bc21502947f35a7f94", "title": "EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.00142.pdf"], "doi": []}, {"id": "7b8ed16ca5c03d21b0b2e56d9ee5cc24d668625e", "title": "Max-covering scheme for gesture recognition of Chinese traffic police", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-014-0383-9"]}, {"id": "5b4fddc0b86deea2fc139c43ee07892ad211a2dd", "title": "Compositional Human Pose Regression", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00159.pdf"], "doi": []}, {"id": "b769007cb6931464168f63ebb4571e46d8c804b7", "title": "Human Pose Estimation and Activity Classification Using Convolutional Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b769/007cb6931464168f63ebb4571e46d8c804b7.pdf"], "doi": []}, {"id": "393a62cab9e2a1cc82c1663fdbbf1aefb781c36b", "title": "Chained Predictions Using Convolutional Neural Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02346.pdf"], "doi": []}, {"id": "085c61ad31208717a6bc28059708ebdebbb1ca43", "title": "Gesture recognition of traffic police based on static and dynamic descriptor fusion", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3497-9"]}, {"id": "0edafa576c8c89035db8ad24a8a1af5d457b746b", "title": "Articulated Human Detection with Flexible Mixtures of Parts", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.ics.uci.edu/papers/YangR_TPAMI_2013/YangR_TPAMI_2013.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose_pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380498", "http://doi.org/10.1109/TPAMI.2012.261", "https://www.ncbi.nlm.nih.gov/pubmed/24136428", "https://www.wikidata.org/entity/Q46551742"]}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}, {"id": "b8f1d51fb48655ee38fc4634d016cffa817619ae", "title": "A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation", "addresses": [{"name": "University of Crete", "source_name": "University of Crete", "street_adddress": "House of Europe, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a1\u03ad\u03b8\u03c5\u03bc\u03bd\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a1\u03b5\u03b8\u03cd\u03bc\u03bd\u03bf\u03c5, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, \u039a\u03c1\u03ae\u03c4\u03b7, 930100, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "35.37130240", "lng": "24.47544080", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3197791"]}, {"id": "6911686f00c99c51c21f057c45d561c88027f676", "title": "Articulated pose estimation with parts connectivity using discriminative local oriented contours", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/CVPR2012.pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248049", "http://doi.org/10.1109/CVPR.2012.6248049"]}, {"id": "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "title": "Deep Unsupervised Learning of Visual Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08562.pdf"], "doi": []}, {"id": "563523dc73375693314c20e1fe2a65e34915cd8f", "title": "Human Pose Estimation from Monocular Images: A Comprehensive Survey", "addresses": [{"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}, {"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5635/23dc73375693314c20e1fe2a65e34915cd8f.pdf"], "doi": []}, {"id": "6049a381a0b79a90344306a885f118b47936ac9f", "title": "Occlusion-robust model learning for human pose estimation", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486552", "http://doi.org/10.1109/ACPR.2015.7486552"]}, {"id": "07a65c9368d41a07e9ff1065e5a76d69178008f7", "title": "Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7070741", "http://doi.org/10.1109/TNNLS.2015.2411287", "https://www.ncbi.nlm.nih.gov/pubmed/25826809"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "58d821874f48c3ce748b523f7defdfb72a608392", "title": "Human body segmentation based on shape constraint", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0829-3"]}]} \ No newline at end of file diff --git a/site/datasets/final/lfpw.json b/site/datasets/final/lfpw.json index 6301666c..661a2d7b 100644 --- a/site/datasets/final/lfpw.json +++ b/site/datasets/final/lfpw.json @@ -1 +1 @@ -{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "dataset": {"key": "lfpw", "name_short": "LFPW", "name_display": "LFPW", "name_full": "Labeled Face Parts in the Wild", "purpose": "", "comment": "", "created_by": "", "funded_by": "CIA", "funded_by_short": "CIA", "used_by": "", "license": "", "url": "http://neerajkumar.org/databases/lfpw/", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr, google, yahoo", "usernames": "", "names": "Y", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "1,432 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "NA", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "140438a77a771a8fb656b39a78ff488066eb6b50", "key": "lfpw", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "year": "2011", "pdf": [], "address": "", "name": "LFPW", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412675"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "54aafe33c4a32fb5875d04fd4a6e6da50920c263", "title": "Robust principal component analysis?", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1970395"]}, {"id": "1a1a60fd4dc88a14c016b95789385801c6b80574", "title": "Sparse representation or collaborative representation: Which helps face recognition?", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://sse.tongji.edu.cn/linzhang/CV/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf", "http://sse.tongji.edu.cn/linzhang/CV14/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126277", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126277", "http://doi.org/10.1109/ICCV.2011.6126277"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "0ec1673609256b1e457f41ede5f21f05de0c054f", "title": "Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://research.microsoft.com/pubs/192106/HighDimFeature.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d025.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Blessing_of_Dimensionality_2013_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/PID2716719.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619233", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.389", "http://doi.org/10.1109/CVPR.2013.389"]}, {"id": "c75ba6ef724c0c3a9c9510a70da4cc8729b59a35", "title": "FaceWarehouse: A 3D Facial Expression Database for Visual Computing", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk3_facewarehouse.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654137", "http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.249", "http://doi.org/10.1109/TVCG.2013.249", "https://www.ncbi.nlm.nih.gov/pubmed/24434222"]}, {"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "addresses": [{"name": "TU Graz", "source_name": "Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria", "street_adddress": "Graz, Austria", "lat": "47.07071400", "lng": "15.43950400", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130513"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "84b50ebe85f7a1721800125e7882fce8c45b5c5a", "title": "Cats and dogs", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248092"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780823", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.454", "http://doi.org/10.1109/CVPR.2016.454"]}, {"id": "c5366f412f2e8e78280afcccc544156f63b516e3", "title": "Meta-Analysis of the First Facial Expression Recognition Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/fera_smcb.pdf", "http://lep.unige.ch/system/files/biblio/2012_Valstar_MetaAnalysisGEMEP-FERA.pdf", "http://www.cs.nott.ac.uk/~mfv/Documents/fera_smcb.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/fera_smcb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222016", "http://doi.org/10.1109/TSMCB.2012.2200675", "https://www.ncbi.nlm.nih.gov/pubmed/22736651", "https://www.wikidata.org/entity/Q39596424"]}, {"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "title": "Labeled Faces in the Wild : Updates and New Reporting Procedures", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf"], "doi": []}, {"id": "4335d53e763b2caf20f06928cd420ae09e5041ad", "title": "Discrete-continuous optimization for multi-target tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://research.milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2012/andriyenko-cvpr-preprint.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr12andriyenko.pdf", "http://www.milanton.de/files/cvpr2012/cvpr2012-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247893", "http://doi.org/10.1109/CVPR.2012.6247893"]}, {"id": "30ff7845c8b0de24f8e494b815f3041feeb508d4", "title": "3D Constrained Local Model for rigid and non-rigid facial tracking", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247980"]}, {"id": "4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea", "title": "Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark", "addresses": [{"name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "source_name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "street_adddress": "421 Discovery Dr, Paddys River ACT 2620, Australia", "lat": "-35.40141670", "lng": "148.98162610", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": ["http://staff.estem-uc.edu.au/roland/wp-content/uploads/file/roland/publications/Conference/ICCV/BeFIT2011/dhall_goecke_lucey_gedeon_BeFIT2011_StaticFacialExpressionAnalysisInToughConditions.pdf", "http://www.researchgate.net/profile/Roland_Goecke/publication/221429947_Static_facial_expression_analysis_in_tough_conditions_Data_evaluation_protocol_and_benchmark/links/0fcfd50e81697312d6000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130508", "http://doi.org/10.1109/ICCVW.2011.6130508"]}, {"id": "add50a7d882eb38e35fe70d11cb40b1f0059c96f", "title": "High-fidelity Pose and Expression Normalization for face recognition in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14784/1/07298679.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Zhu_High-Fidelity_Pose_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_High-Fidelity_Pose_and_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298679", "http://doi.org/10.1109/CVPR.2015.7298679"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "0059a63e200139fd534e19703d37704fe9aaa8e1", "title": "FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences", "addresses": [{"name": "UC Berkeley, California, United States", "source_name": "UC Berkeley, California, United States", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298723"]}, {"id": "ef94d1445be4be7cc5ffc6b17f89e2d046bef416", "title": "Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103112"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "40928537845bd14f731b753bef8cdab59661c090", "title": "AverageExplorer: interactive exploration and alignment of visual data collections", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601145"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "title": "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip_2014.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip1.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/eleftheriadis_tip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6967830", "http://doi.org/10.1109/TIP.2014.2375634", "https://www.ncbi.nlm.nih.gov/pubmed/25438312", "https://www.wikidata.org/entity/Q50620802"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "91883dabc11245e393786d85941fb99a6248c1fb", "title": "Face Alignment In-the-Wild: A Survey", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.04188.pdf"], "doi": []}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "title": "Rejecting pseudo-faces using the likelihood of facial features and skin", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2012/BTAS%20144.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374602", "http://doi.org/10.1109/BTAS.2012.6374602"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "7a0b78879a13bd42c63cd947f583129137b16830", "title": "A Multiresolution 3D Morphable Face Model and Fitting Framework", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7a0b/78879a13bd42c63cd947f583129137b16830.pdf"], "doi": []}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial Landmark Localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "6fdf2f4f7ae589af6016305a17d460617d9ef345", "title": "Robust facial landmark localization using multi partial features", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350767", "http://doi.org/10.1109/ICIP.2015.7350767"]}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "ac51d9ddbd462d023ec60818bac6cdae83b66992", "title": "An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://downloads.hindawi.com/journals/cin/2015/709072.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26504460", "http://doi.org/10.1155/2015%2F709072", "https://www.wikidata.org/entity/Q36173072"]}, {"id": "159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1", "title": "Weak Classifier for Density Estimation in Eye Localization and Tracking", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}, {"name": "Universidade Federal do Rio de Janeiro", "source_name": "Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil", "street_adddress": "Av. Pedro Calmon, 550 - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21941-901, Brazil", "lat": "-22.95414120", "lng": "-43.17536380", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898792", "http://doi.org/10.1109/TIP.2017.2694226", "https://www.ncbi.nlm.nih.gov/pubmed/28422660", "https://www.wikidata.org/entity/Q38830601"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "bd8e2d27987be9e13af2aef378754f89ab20ce10", "title": "Facial feature points detecting based on Gaussian Mixture Models", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.11.004"]}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "c4aa3dfb8aee7803f17335b0f15108e774023fd9", "title": "Face Image Modeling by Multilinear Subspace Analysis With Missing Values", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "Monash University", "source_name": "Monash University", "street_adddress": "Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.78397455", "lng": "144.95867433", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5678656"]}, {"id": "70eeacf9f86ba08fceb3dd703cf015016dac1930", "title": "Coupled information-theoretic encoding for face photo-sketch recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/CITE_final.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tutorials/CITF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/tutorials/CITF.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995324", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995324", "http://doi.org/10.1109/CVPR.2011.5995324"]}, {"id": "2ea106282753dd754f1fcd65728a4effee42d58a", "title": "Sparse Filtering", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/2ea1/06282753dd754f1fcd65728a4effee42d58a.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "004ea00cc92d09a4dd6f3ff5ae88b28d26a24cec", "title": "General and nested Wiberg minimization", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247850"]}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "1aa216737bb53366d556c01d1985f2f4d4c1d284", "title": "Optical flow in the presence of spatially-varying motion blur", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247871"]}, {"id": "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "title": "3D facial geometric features for constrained local model", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://doc.utwente.nl/95232/1/Pantic_3D_facial_geometric_features.pdf", "http://eprints.eemcs.utwente.nl/25826/01/Pantic_3D_facial_geometric_features.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/3d_local_features.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025285", "http://doi.org/10.1109/ICIP.2014.7025285"]}, {"id": "2969f822b118637af29d8a3a0811ede2751897b5", "title": "Cascaded Shape Space Pruning for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://iip.ict.ac.cn/sites/default/files/publication/2013_ICCV_xwzhao_Cascaded%20Shape%20Space%20Pruning%20for%20Robust%20Facial%20Landmark%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751238", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.132", "http://doi.org/10.1109/ICCV.2013.132"]}, {"id": "7492c611b1df6bce895bee6ba33737e7fc7f60a6", "title": "The 3D Menpo Facial Landmark Tracking Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/zafeiriou_the_3d_menpo_iccv_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265505", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.16", "http://doi.org/10.1109/ICCVW.2017.16"]}, {"id": "beae35eb5b2c7f63dfa9115f07b5ba0319709951", "title": "Discriminative 3D morphable model fitting", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/3dmm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163096", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163096", "http://doi.org/10.1109/FG.2015.7163096"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "e27f5d160b784a838acf266bb1055d7ba0a8b1d1", "title": "Distinguishable de-identified faces", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285019"]}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "addresses": [{"name": "Australian National University, Canberra", "source_name": "Australian National University, Canberra", "street_adddress": "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "lat": "-35.28121335", "lng": "149.11665331", "type": "edu", "country": "Australia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "fd615118fb290a8e3883e1f75390de8a6c68bfde", "title": "Joint Face Alignment with Non-parametric Shape Models", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fd61/5118fb290a8e3883e1f75390de8a6c68bfde.pdf"], "doi": []}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "63fd7a159e58add133b9c71c4b1b37b899dd646f", "title": "Exemplar-Based Human Action Pose Correction", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://wei-shen.weebly.com/uploads/2/3/8/2/23825939/posecorrection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603332", "http://doi.org/10.1109/TCYB.2013.2279071", "https://www.ncbi.nlm.nih.gov/pubmed/24058046", "https://www.wikidata.org/entity/Q43796448"]}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "5befd78017c51dcc6cb1394e1144d50bc936c7c8", "title": "Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter", "addresses": [{"name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "source_name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "street_adddress": "Estr. de Adrian\u00f3polis, 1317 - Vila Nossa Sra. da Conceicao, Nova Igua\u00e7u - RJ, 26041-271, Brazil", "lat": "-22.70465580", "lng": "-43.46242130", "type": "edu", "country": "Brazil"}, {"name": "Technion Autonomous Systems Program, Technion\u2014Israel Institute of Technology, Haifa, Israel", "source_name": "Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489195"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "0d3d942f3279471430bf374f61d60af69bd06121", "title": "Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5661774"]}, {"id": "4079cd0b94e3f4423a54c58fe15fd29a46a5652e", "title": "Learning temporal signatures for Lip Reading", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130355"]}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "09ce14b84af2dc2f76ae1cf227356fa0ba337d07", "title": "Face reconstruction in the wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "University of Washington & Google, Inc.", "source_name": "University of Washington and Google Inc.", "street_adddress": "University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA", "lat": "47.66074610", "lng": "-122.31458380", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://grail.cs.washington.edu/3dfaces/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126439", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126439", "http://doi.org/10.1109/ICCV.2011.6126439"]}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3619a9b46ad4779d0a63b20f7a6a8d3d49530339", "title": "Fisher Vector Faces in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3619/a9b46ad4779d0a63b20f7a6a8d3d49530339.pdf"], "doi": []}, {"id": "1a140d9265df8cf50a3cd69074db7e20dc060d14", "title": "Face Parts Localization Using Structured-Output Regression Forests", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a14/0d9265df8cf50a3cd69074db7e20dc060d14.pdf"], "doi": []}, {"id": "14ce7635ff18318e7094417d0f92acbec6669f1c", "title": "DeepFace: Closing the Gap to Human-Level Performance in Face Verification", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://data.over-blog-kiwi.com/0/90/51/05/20140323/ob_600872_deepface.pdf", "http://static1.trouw.nl/static/asset/2014/deepface_4361.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_11_01_2013.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_prev.pdf", "http://www.cs.tau.ac.il/~wolf/papers/paper_1819_supplementary_deepface.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_supp_material_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909616", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.220", "http://doi.org/10.1109/CVPR.2014.220"]}, {"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "title": "Face recognition in unconstrained videos with matched background similarity", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995566"]}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "181708b09bde7f4904f8fd92b3668d76e7aff527", "title": "Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666275"]}, {"id": "fb528dcfa355779aff996cd1f0ef9d96f918080f", "title": "Intrinsic images in the wild", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601206"]}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "12003a7d65c4f98fb57587fd0e764b44d0d10125", "title": "Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2015", "pdf": ["http://luks.fe.uni-lj.si/en/staff/simond/publications/Dobrisek2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284835", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284835", "http://doi.org/10.1109/FG.2015.7284835"]}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "7df4f96138a4e23492ea96cf921794fc5287ba72", "title": "A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08705.pdf"], "doi": []}, {"id": "e8f4ded98f5955aad114f55e7aca6b540599236b", "title": "Convolutional Fusion Network for Face Verification in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://labicvl.github.io/docs/pubs/Chao_TCSVT_2015.pdf", "https://labicvl.github.io/docs/pubs/Chao_TCSVT_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047804", "http://doi.org/10.1109/TCSVT.2015.2406191", "https://doi.org/10.1109/TCSVT.2015.2406191"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "title": "Why is facial expression analysis in the wild challenging?", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531924"]}, {"id": "516f412a76911a13c9128aac827b52b27b98fad9", "title": "Uncovering social network sybils in the wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2556609"]}, {"id": "0573f3d2754df3a717368a6cbcd940e105d67f0b", "title": "Emotion recognition in the wild challenge 2016", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531739"]}, {"id": "d4cbb00008da7ffad80fd9de0a94876ff9d53759", "title": "Visual Kinship Recognition of Families in the Wild", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337841"]}, {"id": "58192249cc6aa7b21ef32685f610585d5782544b", "title": "The FG 2015 Kinship Verification in the Wild Evaluation", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Politecnico di Torino, DAUIN, Torino, Italy", "source_name": "Politecnico di Torino, DAUIN, Torino, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://liris.cnrs.fr/Documents/Liris-7046.pdf", "http://translectures.videolectures.net/site/normal_dl/tag=977250/fgconference2015_liong_wild_evaluation_01.pdf", "https://hal.archives-ouvertes.fr/hal-01158942/file/Liris-7046.pdf", "https://pdfs.semanticscholar.org/5819/2249cc6aa7b21ef32685f610585d5782544b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163159", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163159", "http://doi.org/10.1109/FG.2015.7163159"]}, {"id": "acd4280453b995cb071c33f7c9db5760432f4279", "title": "Deep transformation learning for face recognition in the unconstrained scene", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0907-1"]}, {"id": "1e62935d9288446abdaeb1fec84daa12a684b300", "title": "Detecting adversarial advertisements in the wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2020455"]}, {"id": "29c68d6e8370c04f0e1094b7de5d8b2f12821f4b", "title": "Spotting Facial Micro-Expressions \u201c In the Wild \u201d", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29c6/8d6e8370c04f0e1094b7de5d8b2f12821f4b.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "47471105d9ee2276e14ab4a3a4d66ef58612188f", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "18aaeaba26d95482fc40d560c49f0a7f22ea0870", "title": "Automatic Detection of Learning-Centered Affective States in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2701397"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "title": "Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Kim_Fusing_Aligned_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789677", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.187", "http://doi.org/10.1109/CVPRW.2016.187"]}, {"id": "3868c75855df640a73b1fcdfa5df1bb92b878099", "title": "Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.05768.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "01dbc5466cce6abd567cc5b34a481f5c438fb15a", "title": "The Web Never Forgets: Persistent Tracking Mechanisms in the Wild", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660347"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "14efb131bed66f1874dd96170f714def8db45d90", "title": "Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild", "addresses": [{"name": "Intel Labs China, Beijing, China", "source_name": "Intel Labs China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830585"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "a4725a5b43e7c36d9e30028dff66958f892254a0", "title": "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "source_name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "street_adddress": "Kensington, London SW7 2AZ, UK", "lat": "51.49879970", "lng": "-0.17487720", "type": "edu", "country": "United Kingdom"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666271"]}, {"id": "54e988bc0764073a5db2955705d4bfa8365b7fa9", "title": "Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531749"]}, {"id": "4fbf0b611741b1dc3d9c29738c9a498e7509cb56", "title": "Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830584"]}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "a000e15656e84dd538f1f0b8f8639dd29f122c95", "title": "Multimodal fusion based on information gain for emotion recognition in the wild", "addresses": [{"name": "Maastricht University", "source_name": "Maastricht University", "street_adddress": "UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland", "lat": "50.83367120", "lng": "5.71589000", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324224", "http://doi.org/10.1109/intellisys.2017.8324224"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "fdb80f9c506e69fac4d31fd9dcefc2120c990e5f", "title": "Deep Learning in the Wild", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04950.pdf"], "doi": []}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "4fb009787697cd47914fca1085b8fd932fe26337", "title": "WildFish: A Large Benchmark for Fish Recognition in the Wild", "addresses": [{"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240616"]}, {"id": "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "title": "Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666277"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "2edc6df161f6aadbef9c12408bdb367e72c3c967", "title": "Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666278"]}, {"id": "177bc509dd0c7b8d388bb47403f28d6228c14b5c", "title": "Deep Learning Face Representation from Predicting 10,000 Classes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf", "http://user.ceng.metu.edu.tr/~gcinbis/courses/Spring17/CS559/presentations/W12b_SayginDogu.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909640", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.244", "http://doi.org/10.1109/CVPR.2014.244"]}, {"id": "ad29afdbce160d3749a3685da75bc35b16d64b95", "title": "Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830588"]}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "709ec2146eace9707953e72463de4805b83c720a", "title": "Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264992"]}, {"id": "04f0292d9a062634623516edd01d92595f03bd3f", "title": "Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531742"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "c4e5e9dfac23d26ca866467f415f383a0c65f5c8", "title": "Visual Voice Activity Detection in the Wild", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420734"]}, {"id": "93e451f71245f8e5ba346a48de2d09c0bccc3c22", "title": "Towards an \u201cIn-the-Wild\u201d Emotion Dataset Using a Game-Based Framework", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02678.pdf"], "doi": []}, {"id": "f0f89b9336f871d8c6ebbaefbae171efcd7ff4fd", "title": "Competition between Jagged-Notch and Endothelin1 Signaling Selectively Restricts Cartilage Formation in the Zebrafish Upper Face", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0f8/9b9336f871d8c6ebbaefbae171efcd7ff4fd.pdf"], "doi": []}, {"id": "bccad316045861ef4ceb288f7dd9dff5cc2e5cc1", "title": "CamForensics: Understanding Visual Privacy Leaks in the Wild", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131683"]}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "244c7d89bcd67b26756123edf44c71fd5f39dea6", "title": "GestureGAN for Hand Gesture-to-Gesture Translation in the Wild", "addresses": [{"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}, {"name": "University of Oxford & University of Trento", "source_name": "University of Oxford & University of Trento, Oxford, United Kingdom", "street_adddress": "Oxford OX1 2JD, UK", "lat": "51.75481640", "lng": "-1.25436680", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240704"]}, {"id": "5a5c85cf5c21a3559fbdf7da2263c7da860ea193", "title": "Learning supervised scoring ensemble for emotion recognition in the wild", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143009"]}, {"id": "23f18899037c77efea58cbde7b029225af7e0db9", "title": "Face alignment using structured random regressors combined with statistical shape model fitting", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727052", "http://doi.org/10.1109/IVCNZ.2013.6727052"]}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "c00935052d80cddedb53da1ed042055faaf3aa1b", "title": "Re-identifying people in the wild", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "source_name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "street_adddress": "Universitat Polit\u00e8cnica de, Camino de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.47908500", "lng": "-0.33364500", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638065", "http://doi.org/10.1109/ICASSP.2013.6638065"]}, {"id": "89cce3cd411901e5de02cf508679d0ed2fd3bbe1", "title": "Dietary contribution of Wild Edible Plants to women\u2019s diets in the buffer zone around the Lama forest, Benin \u2013 an underutilized potential", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://dspace.itg.be/bitstream/handle/10390/8332/2014fsec0833.pdf;sequence=1", "https://biblio.ugent.be/publication/5736684/file/5890311.pdf", "https://bioversityinternational.org/fileadmin/_migrated/uploads/tx_news/Dietary_contribution_of_wild_edible_plants_to_women_s_diets_in_the_buffer_zone_1881.pdf"], "doi": ["https://doi.org/10.1007/s12571-014-0396-7"]}, {"id": "111ccb406a68d3fa898d65e059d1c8dab71f26d6", "title": "Expression analysis in the wild: from individual to groups", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461529"]}, {"id": "0e6bcc235037d91ccdf74c449a1f6990848ce993", "title": "Detector discovery in the wild: Joint multiple instance and representation learning", "addresses": [{"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298906"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "cfc158b31623d4f9f9cce547616dbaaa083b2291", "title": "Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7891939"]}, {"id": "02b3a4fdc8d2322ac41c664563ee036a973fd126", "title": "Faces in the Distorting Mirror: Revisiting Photo-based Social Authentication", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FORTH, Heraklion, Greece", "source_name": "Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}, {"name": "Politecnico di Milano", "source_name": "Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it", "street_adddress": "5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy", "lat": "45.47866980", "lng": "9.23242090", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660317"]}, {"id": "e2fe04d9a3bd3aa3cbd9c281170b4f49119a88fd", "title": "Detecting kangaroos in the wild: the first step towards automated animal surveillance", "addresses": [{"name": "Queensland Parks and Wildlife Service, Australia", "source_name": "Queensland Parks and Wildlife Service, Australia", "street_adddress": "890 Binna Burra Rd, Binna Burra QLD 4211, Australia", "lat": "-28.19433350", "lng": "153.18424230", "type": "gov", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178313"]}, {"id": "13be4f13dac6c9a93f969f823c4b8c88f607a8c4", "title": "Family in the Wild (FIW): A Large-scale Kinship Recognition Database", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/13be/4f13dac6c9a93f969f823c4b8c88f607a8c4.pdf"], "doi": []}, {"id": "0d3068b352c3733c9e1cc75e449bf7df1f7b10a4", "title": "Context Based Facial Expression Analysis in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~adhall/Dhall_ACII_DC_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6681502", "http://doi.ieeecomputersociety.org/10.1109/ACII.2013.111", "http://doi.org/10.1109/ACII.2013.111"]}, {"id": "71aac0c95beb71581f8308a1cc3932acacefb7c5", "title": "Fluid Grouping: Quantifying Group Engagement around Interactive Tabletop Exhibits in the Wild", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702231"]}, {"id": "540831094fd9b80469c8dacb9320b7e342b50e03", "title": "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05561.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "e5533c70706109ee8d0b2a4360fbe73fd3b0f35d", "title": "How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07332.pdf"], "doi": []}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"], "doi": []}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "title": "Coarse-to-fine facial landmarks localization based on convolutional feature", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256378", "http://doi.org/10.1109/BESC.2017.8256378"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "5e97a1095f2811e0bc188f52380ea7c9c460c896", "title": "Facial feature parsing and landmark detection via low-rank matrix decomposition", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.utk.edu/~rguo1/FacialParsing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351510", "http://doi.org/10.1109/ICIP.2015.7351510"]}, {"id": "ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c", "title": "Fast Localization of Facial Landmark Points", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6888.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "73a70595af6500505b46de91afbe108ce2fc2aee", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005459"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "98ea47f63aed83951217870771da3f57b0295689", "title": "Recurrent Shape Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8341745"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "title": "Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532432", "http://doi.org/10.1109/ICIP.2016.7532432"]}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412675"]}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"id": "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "title": "A New Method for Face Alignment under Extreme Poses and Occlusion", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546065"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "62e834114b58a58a2ea2d7b6dd7b0ce657a64317", "title": "Adaptive facial feature extraction", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6973987", "http://doi.org/10.1109/SMC.2014.6973987"]}, {"id": "92e464a5a67582d5209fa75e3b29de05d82c7c86", "title": "Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf"], "doi": []}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "4c87aafa779747828054cffee3125fcea332364d", "title": "View-Constrained Latent Variable Model for Multi-view Facial Expression Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c87/aafa779747828054cffee3125fcea332364d.pdf"], "doi": []}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "6a931e7b7475635f089dd33e8d9a2899ae963804", "title": "Unified convolutional neural network for direct facial keypoints detection", "addresses": [{"name": "Pusan National University", "source_name": "Pusan National University, Pusan, Korea", "street_adddress": "2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea", "lat": "35.23315760", "lng": "129.07951000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1561-3"]}, {"id": "3c88ffb74573c87c994106b3ae164f316182fc2c", "title": "Shape-appearance-correlated active appearance model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/43334/1/SAC-AAM_v10_Huiling_20151023_modifiedVersion.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.002"]}, {"id": "ad0863aa16301d7c6617f8b965a64cf58f38594f", "title": "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra and Australian National University", "source_name": "University of Canberra and Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2829994"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "0d778271ed979ebfb59029647b4bf43c8ba34a85", "title": "MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09749.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "e3c8e49ffa7beceffca3f7f276c27ae6d29b35db", "title": "Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02182.pdf"], "doi": []}, {"id": "3918a0c698a9bc1ec576e2f5138ff5af41892822", "title": "It \u2019 s in the bag : Stronger supervision for automated face labelling", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3918/a0c698a9bc1ec576e2f5138ff5af41892822.pdf"], "doi": []}, {"id": "055fec9810fe1e98944a229303b0000afbb47b31", "title": "A large-scale hierarchical multi-view RGB-D object dataset", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980382"]}, {"id": "84f003d3cfb093b0cebfa3ae8ae5f138a5677558", "title": "Kinship verification in the wild: The first kinship verification competition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Politecnico di Torino, DAUIN, Italy", "source_name": "Politecnico di Torino, DAUIN, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.kinfacew.com/papers/kinship_ijcb14.pdf", "https://acceda.ulpgc.es:8443/bitstream/10553/15755/5/C088_IJCB14_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996230", "http://doi.org/10.1109/BTAS.2014.6996230"]}, {"id": "751b26e7791b29e4e53ab915bfd263f96f531f56", "title": "Mood meter: counting smiles in the wild", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2370264"]}, {"id": "bec31269632c17206deb90cd74367d1e6586f75f", "title": "Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08690.pdf"], "doi": []}, {"id": "41951953579a0e3620f0235e5fcb80b930e6eee3", "title": "Deep Learning Face Representation by Joint Identification-Verification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.4773.pdf"], "doi": []}, {"id": "8e8a6623b4abd2452779c43f3c2085488dfcb323", "title": "Multi-clue fusion for emotion recognition in the wild", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997630"]}, {"id": "8ffa008fc08595da0cadc80dcaefb60c3cf41ba9", "title": "Performance-Led Research in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2491502"]}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "757f7f1a1cd62cf00150cdcfbdc5cd02c63553f1", "title": "HoloNet: towards robust emotion recognition in the wild", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997639"]}, {"id": "b8df2c2fa02a37d09b73277ca4edde654ac80953", "title": "Exploiting Facial Landmarks for Emotion Recognition in the Wild.", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09129.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "a28adc7e175e03b59a3bec8cdc0172670db55e62", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297067"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.06451.pdf"], "doi": []}, {"id": "3c97c32ff575989ef2869f86d89c63005fc11ba9", "title": "Face Detection with the Faster R-CNN", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.03473.pdf"], "doi": []}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "4dae1c18838233338481e3ed29bf6e1252cb68f2", "title": "Toward a Comprehensive Face Detector in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122006"]}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "66449f6eb492864c86ab80e81417b5003a76a36b", "title": "Video emotion recognition in the wild based on fusion of multimodal features", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997629"]}, {"id": "8b547b87fd95c8ff6a74f89a2b072b60ec0a3351", "title": "Initial perceptions of a casual game to crowdsource facial expressions in the wild", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8b54/7b87fd95c8ff6a74f89a2b072b60ec0a3351.pdf"], "doi": []}]} \ No newline at end of file +{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "dataset": {"key": "lfpw", "name_short": "LFPW", "name_display": "LFPW", "name_full": "Labeled Face Parts in the Wild", "purpose": "", "comment": "", "created_by": "", "funded_by": "CIA", "funded_by_short": "CIA", "used_by": "", "license": "", "url": "http://neerajkumar.org/databases/lfpw/", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr, google, yahoo", "usernames": "", "names": "Y", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "1,432 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "NA", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "140438a77a771a8fb656b39a78ff488066eb6b50", "key": "lfpw", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "year": "2011", "pdf": [], "address": "", "name": "LFPW", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412675"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "489fc2a88f0257b577c3fecb5e4a59451c97dbfe", "title": "Face Alignment by Explicit Shape Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248015"]}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "54aafe33c4a32fb5875d04fd4a6e6da50920c263", "title": "Robust principal component analysis?", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1970395"]}, {"id": "1a1a60fd4dc88a14c016b95789385801c6b80574", "title": "Sparse representation or collaborative representation: Which helps face recognition?", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://sse.tongji.edu.cn/linzhang/CV/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf", "http://sse.tongji.edu.cn/linzhang/CV14/ReadingMaterials/sparse%20representation%20or%20collaborative%20representation%20which%20helps%20face%20recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126277", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126277", "http://doi.org/10.1109/ICCV.2011.6126277"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "0ec1673609256b1e457f41ede5f21f05de0c054f", "title": "Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://research.microsoft.com/pubs/192106/HighDimFeature.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d025.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Blessing_of_Dimensionality_2013_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/PID2716719.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619233", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.389", "http://doi.org/10.1109/CVPR.2013.389"]}, {"id": "c75ba6ef724c0c3a9c9510a70da4cc8729b59a35", "title": "FaceWarehouse: A 3D Facial Expression Database for Visual Computing", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk3_facewarehouse.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654137", "http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.249", "http://doi.org/10.1109/TVCG.2013.249", "https://www.ncbi.nlm.nih.gov/pubmed/24434222"]}, {"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "addresses": [{"name": "TU Graz", "source_name": "Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria", "street_adddress": "Graz, Austria", "lat": "47.07071400", "lng": "15.43950400", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130513"]}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "84b50ebe85f7a1721800125e7882fce8c45b5c5a", "title": "Cats and dogs", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248092"]}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780823", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.454", "http://doi.org/10.1109/CVPR.2016.454"]}, {"id": "c5366f412f2e8e78280afcccc544156f63b516e3", "title": "Meta-Analysis of the First Facial Expression Recognition Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/fera_smcb.pdf", "http://lep.unige.ch/system/files/biblio/2012_Valstar_MetaAnalysisGEMEP-FERA.pdf", "http://www.cs.nott.ac.uk/~mfv/Documents/fera_smcb.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/fera_smcb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222016", "http://doi.org/10.1109/TSMCB.2012.2200675", "https://www.ncbi.nlm.nih.gov/pubmed/22736651", "https://www.wikidata.org/entity/Q39596424"]}, {"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "title": "Labeled Faces in the Wild : Updates and New Reporting Procedures", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf"], "doi": []}, {"id": "4335d53e763b2caf20f06928cd420ae09e5041ad", "title": "Discrete-continuous optimization for multi-target tracking", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://research.milanton.de/files/cvpr2012/cvpr2012-poster.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2012/andriyenko-cvpr-preprint.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/pubs/cvpr12andriyenko.pdf", "http://www.milanton.de/files/cvpr2012/cvpr2012-anton.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247893", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247893", "http://doi.org/10.1109/CVPR.2012.6247893"]}, {"id": "30ff7845c8b0de24f8e494b815f3041feeb508d4", "title": "3D Constrained Local Model for rigid and non-rigid facial tracking", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247980"]}, {"id": "4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea", "title": "Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark", "addresses": [{"name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "source_name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia", "street_adddress": "421 Discovery Dr, Paddys River ACT 2620, Australia", "lat": "-35.40141670", "lng": "148.98162610", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": ["http://staff.estem-uc.edu.au/roland/wp-content/uploads/file/roland/publications/Conference/ICCV/BeFIT2011/dhall_goecke_lucey_gedeon_BeFIT2011_StaticFacialExpressionAnalysisInToughConditions.pdf", "http://www.researchgate.net/profile/Roland_Goecke/publication/221429947_Static_facial_expression_analysis_in_tough_conditions_Data_evaluation_protocol_and_benchmark/links/0fcfd50e81697312d6000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130508", "http://doi.org/10.1109/ICCVW.2011.6130508"]}, {"id": "add50a7d882eb38e35fe70d11cb40b1f0059c96f", "title": "High-fidelity Pose and Expression Normalization for face recognition in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14784/1/07298679.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Zhu_High-Fidelity_Pose_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_086_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_High-Fidelity_Pose_and_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298679", "http://doi.org/10.1109/CVPR.2015.7298679"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "0059a63e200139fd534e19703d37704fe9aaa8e1", "title": "FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences", "addresses": [{"name": "UC Berkeley, California, United States", "source_name": "UC Berkeley, California, United States", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298723"]}, {"id": "ef94d1445be4be7cc5ffc6b17f89e2d046bef416", "title": "Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103112"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "40928537845bd14f731b753bef8cdab59661c090", "title": "AverageExplorer: interactive exploration and alignment of visual data collections", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601145"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "title": "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip_2014.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip1.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/eleftheriadis_tip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6967830", "http://doi.org/10.1109/TIP.2014.2375634", "https://www.ncbi.nlm.nih.gov/pubmed/25438312", "https://www.wikidata.org/entity/Q50620802"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "91883dabc11245e393786d85941fb99a6248c1fb", "title": "Face Alignment In-the-Wild: A Survey", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.04188.pdf"], "doi": []}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "1922ad4978ab92ce0d23acc4c7441a8812f157e5", "title": "Face alignment by coarse-to-fine shape searching", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2015_alignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_060_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299134", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299134", "http://doi.org/10.1109/CVPR.2015.7299134"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "title": "Rejecting pseudo-faces using the likelihood of facial features and skin", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2012/BTAS%20144.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374602", "http://doi.org/10.1109/BTAS.2012.6374602"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "7a0b78879a13bd42c63cd947f583129137b16830", "title": "A Multiresolution 3D Morphable Face Model and Fitting Framework", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7a0b/78879a13bd42c63cd947f583129137b16830.pdf"], "doi": []}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial Landmark Localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "deb89950939ae9847f0a1a4bb198e6dbfed62778", "title": "Accurate Facial Landmark Extraction", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434637", "http://doi.org/10.1109/LSP.2016.2543019"]}, {"id": "6fdf2f4f7ae589af6016305a17d460617d9ef345", "title": "Robust facial landmark localization using multi partial features", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350767", "http://doi.org/10.1109/ICIP.2015.7350767"]}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "ac51d9ddbd462d023ec60818bac6cdae83b66992", "title": "An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://downloads.hindawi.com/journals/cin/2015/709072.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26504460", "http://doi.org/10.1155/2015%2F709072", "https://www.wikidata.org/entity/Q36173072"]}, {"id": "159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1", "title": "Weak Classifier for Density Estimation in Eye Localization and Tracking", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}, {"name": "Universidade Federal do Rio de Janeiro", "source_name": "Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil", "street_adddress": "Av. Pedro Calmon, 550 - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21941-901, Brazil", "lat": "-22.95414120", "lng": "-43.17536380", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898792", "http://doi.org/10.1109/TIP.2017.2694226", "https://www.ncbi.nlm.nih.gov/pubmed/28422660", "https://www.wikidata.org/entity/Q38830601"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "bd8e2d27987be9e13af2aef378754f89ab20ce10", "title": "Facial feature points detecting based on Gaussian Mixture Models", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.11.004"]}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "c4aa3dfb8aee7803f17335b0f15108e774023fd9", "title": "Face Image Modeling by Multilinear Subspace Analysis With Missing Values", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}, {"name": "Monash University", "source_name": "Monash University", "street_adddress": "Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.78397455", "lng": "144.95867433", "type": "edu", "country": "Australia"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5678656"]}, {"id": "70eeacf9f86ba08fceb3dd703cf015016dac1930", "title": "Coupled information-theoretic encoding for face photo-sketch recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/CITE_final.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tutorials/CITF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/tutorials/CITF.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995324", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995324", "http://doi.org/10.1109/CVPR.2011.5995324"]}, {"id": "2ea106282753dd754f1fcd65728a4effee42d58a", "title": "Sparse Filtering", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/2ea1/06282753dd754f1fcd65728a4effee42d58a.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "004ea00cc92d09a4dd6f3ff5ae88b28d26a24cec", "title": "General and nested Wiberg minimization", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247850"]}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "0ceda142b669f41b1d51f40b73bcdcf8ac60733a", "title": "Resolution-Aware 3D Morphable Model", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a090/c0cbfddb1ab5a244fcc5851820b5854dee2d.pdf"], "doi": []}, {"id": "1aa216737bb53366d556c01d1985f2f4d4c1d284", "title": "Optical flow in the presence of spatially-varying motion blur", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247871"]}, {"id": "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "title": "3D facial geometric features for constrained local model", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://doc.utwente.nl/95232/1/Pantic_3D_facial_geometric_features.pdf", "http://eprints.eemcs.utwente.nl/25826/01/Pantic_3D_facial_geometric_features.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/3d_local_features.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025285", "http://doi.org/10.1109/ICIP.2014.7025285"]}, {"id": "2969f822b118637af29d8a3a0811ede2751897b5", "title": "Cascaded Shape Space Pruning for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://iip.ict.ac.cn/sites/default/files/publication/2013_ICCV_xwzhao_Cascaded%20Shape%20Space%20Pruning%20for%20Robust%20Facial%20Landmark%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751238", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.132", "http://doi.org/10.1109/ICCV.2013.132"]}, {"id": "7492c611b1df6bce895bee6ba33737e7fc7f60a6", "title": "The 3D Menpo Facial Landmark Tracking Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/zafeiriou_the_3d_menpo_iccv_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265505", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.16", "http://doi.org/10.1109/ICCVW.2017.16"]}, {"id": "beae35eb5b2c7f63dfa9115f07b5ba0319709951", "title": "Discriminative 3D morphable model fitting", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/3dmm.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163096", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163096", "http://doi.org/10.1109/FG.2015.7163096"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "e27f5d160b784a838acf266bb1055d7ba0a8b1d1", "title": "Distinguishable de-identified faces", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285019"]}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "addresses": [{"name": "Australian National University, Canberra", "source_name": "Australian National University, Canberra", "street_adddress": "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "lat": "-35.28121335", "lng": "149.11665331", "type": "edu", "country": "Australia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "445e3ba7eabcc55b5d24f951b029196b47830684", "title": "Learning Cascaded Deep Auto-Encoder Networks for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513378", "http://doi.org/10.1109/TMM.2016.2591508"]}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "4209910f27a52c76af73f141fe620295cf92c01d", "title": "Construction of a Genetic Linkage Map and Genetic Analysis of Domestication Related Traits in Mungbean (Vigna radiata)", "addresses": [{"name": "Kasetsart University", "source_name": "Faculty of Engineering, Kasetsart University, Bangkok, Thailand", "street_adddress": "50 Phahonyothin Rd, Khwaeng Lat Yao, Khet Chatuchak, Krung Thep Maha Nakhon 10903, Thailand", "lat": "13.84574700", "lng": "100.57019010", "type": "edu", "country": "Thailand"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4209/910f27a52c76af73f141fe620295cf92c01d.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "fd615118fb290a8e3883e1f75390de8a6c68bfde", "title": "Joint Face Alignment with Non-parametric Shape Models", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fd61/5118fb290a8e3883e1f75390de8a6c68bfde.pdf"], "doi": []}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "63fd7a159e58add133b9c71c4b1b37b899dd646f", "title": "Exemplar-Based Human Action Pose Correction", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://wei-shen.weebly.com/uploads/2/3/8/2/23825939/posecorrection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603332", "http://doi.org/10.1109/TCYB.2013.2279071", "https://www.ncbi.nlm.nih.gov/pubmed/24058046", "https://www.wikidata.org/entity/Q43796448"]}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "5befd78017c51dcc6cb1394e1144d50bc936c7c8", "title": "Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter", "addresses": [{"name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "source_name": "Centro Federal de Educa\u00e7\u00e3o Tecnol\u00f3gica Celso Suckow da Fonseca, CEP, 26041-271, Brazil", "street_adddress": "Estr. de Adrian\u00f3polis, 1317 - Vila Nossa Sra. da Conceicao, Nova Igua\u00e7u - RJ, 26041-271, Brazil", "lat": "-22.70465580", "lng": "-43.46242130", "type": "edu", "country": "Brazil"}, {"name": "Technion Autonomous Systems Program, Technion\u2014Israel Institute of Technology, Haifa, Israel", "source_name": "Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489195"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "0d3d942f3279471430bf374f61d60af69bd06121", "title": "Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5661774"]}, {"id": "4079cd0b94e3f4423a54c58fe15fd29a46a5652e", "title": "Learning temporal signatures for Lip Reading", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130355"]}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "09ce14b84af2dc2f76ae1cf227356fa0ba337d07", "title": "Face reconstruction in the wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "University of Washington & Google, Inc.", "source_name": "University of Washington and Google Inc.", "street_adddress": "University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA", "lat": "47.66074610", "lng": "-122.31458380", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://grail.cs.washington.edu/3dfaces/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126439", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126439", "http://doi.org/10.1109/ICCV.2011.6126439"]}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3619a9b46ad4779d0a63b20f7a6a8d3d49530339", "title": "Fisher Vector Faces in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3619/a9b46ad4779d0a63b20f7a6a8d3d49530339.pdf"], "doi": []}, {"id": "1a140d9265df8cf50a3cd69074db7e20dc060d14", "title": "Face Parts Localization Using Structured-Output Regression Forests", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a14/0d9265df8cf50a3cd69074db7e20dc060d14.pdf"], "doi": []}, {"id": "14ce7635ff18318e7094417d0f92acbec6669f1c", "title": "DeepFace: Closing the Gap to Human-Level Performance in Face Verification", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://data.over-blog-kiwi.com/0/90/51/05/20140323/ob_600872_deepface.pdf", "http://static1.trouw.nl/static/asset/2014/deepface_4361.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_11_01_2013.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_prev.pdf", "http://www.cs.tau.ac.il/~wolf/papers/paper_1819_supplementary_deepface.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_supp_material_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909616", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.220", "http://doi.org/10.1109/CVPR.2014.220"]}, {"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "title": "Face recognition in unconstrained videos with matched background similarity", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995566"]}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "181708b09bde7f4904f8fd92b3668d76e7aff527", "title": "Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666275"]}, {"id": "fb528dcfa355779aff996cd1f0ef9d96f918080f", "title": "Intrinsic images in the wild", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2601206"]}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "12003a7d65c4f98fb57587fd0e764b44d0d10125", "title": "Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2015", "pdf": ["http://luks.fe.uni-lj.si/en/staff/simond/publications/Dobrisek2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284835", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284835", "http://doi.org/10.1109/FG.2015.7284835"]}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "5a51a18a63fc57cd9ef206bcfdb303933c2bcfb9", "title": "AppInsight: Mobile App Performance Monitoring in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a51/a18a63fc57cd9ef206bcfdb303933c2bcfb9.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "7df4f96138a4e23492ea96cf921794fc5287ba72", "title": "A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08705.pdf"], "doi": []}, {"id": "e8f4ded98f5955aad114f55e7aca6b540599236b", "title": "Convolutional Fusion Network for Face Verification in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://labicvl.github.io/docs/pubs/Chao_TCSVT_2015.pdf", "https://labicvl.github.io/docs/pubs/Chao_TCSVT_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047804", "http://doi.org/10.1109/TCSVT.2015.2406191", "https://doi.org/10.1109/TCSVT.2015.2406191"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "title": "Why is facial expression analysis in the wild challenging?", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531924"]}, {"id": "516f412a76911a13c9128aac827b52b27b98fad9", "title": "Uncovering social network sybils in the wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2556609"]}, {"id": "0573f3d2754df3a717368a6cbcd940e105d67f0b", "title": "Emotion recognition in the wild challenge 2016", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531739"]}, {"id": "d4cbb00008da7ffad80fd9de0a94876ff9d53759", "title": "Visual Kinship Recognition of Families in the Wild", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337841"]}, {"id": "58192249cc6aa7b21ef32685f610585d5782544b", "title": "The FG 2015 Kinship Verification in the Wild Evaluation", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Politecnico di Torino, DAUIN, Torino, Italy", "source_name": "Politecnico di Torino, DAUIN, Torino, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "source_name": "Universit\u00e9 de Lyon, CNRS, INSA-Lyon, LIRIS, France", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://liris.cnrs.fr/Documents/Liris-7046.pdf", "http://translectures.videolectures.net/site/normal_dl/tag=977250/fgconference2015_liong_wild_evaluation_01.pdf", "https://hal.archives-ouvertes.fr/hal-01158942/file/Liris-7046.pdf", "https://pdfs.semanticscholar.org/5819/2249cc6aa7b21ef32685f610585d5782544b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163159", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163159", "http://doi.org/10.1109/FG.2015.7163159"]}, {"id": "acd4280453b995cb071c33f7c9db5760432f4279", "title": "Deep transformation learning for face recognition in the unconstrained scene", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0907-1"]}, {"id": "1e62935d9288446abdaeb1fec84daa12a684b300", "title": "Detecting adversarial advertisements in the wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2020455"]}, {"id": "29c68d6e8370c04f0e1094b7de5d8b2f12821f4b", "title": "Spotting Facial Micro-Expressions \u201c In the Wild \u201d", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29c6/8d6e8370c04f0e1094b7de5d8b2f12821f4b.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "47471105d9ee2276e14ab4a3a4d66ef58612188f", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "18aaeaba26d95482fc40d560c49f0a7f22ea0870", "title": "Automatic Detection of Learning-Centered Affective States in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2701397"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "addresses": [{"name": "Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "Calle Juan de Quesada, 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.09918890", "lng": "-15.41991870", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "title": "Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Kim_Fusing_Aligned_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789677", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.187", "http://doi.org/10.1109/CVPRW.2016.187"]}, {"id": "7d6e2d45340270b80d17c4869761c58ca7c9c489", "title": "Counting in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.eccv2016.org/files/posters/P-3B-19.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Arteta16/arteta16.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Arteta16/poster.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46478-7_30"]}, {"id": "3868c75855df640a73b1fcdfa5df1bb92b878099", "title": "Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.05768.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "01dbc5466cce6abd567cc5b34a481f5c438fb15a", "title": "The Web Never Forgets: Persistent Tracking Mechanisms in the Wild", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660347"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "14efb131bed66f1874dd96170f714def8db45d90", "title": "Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild", "addresses": [{"name": "Intel Labs China, Beijing, China", "source_name": "Intel Labs China, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830585"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "a4725a5b43e7c36d9e30028dff66958f892254a0", "title": "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "source_name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "street_adddress": "Kensington, London SW7 2AZ, UK", "lat": "51.49879970", "lng": "-0.17487720", "type": "edu", "country": "United Kingdom"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666271"]}, {"id": "54e988bc0764073a5db2955705d4bfa8365b7fa9", "title": "Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531749"]}, {"id": "4fbf0b611741b1dc3d9c29738c9a498e7509cb56", "title": "Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830584"]}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "a000e15656e84dd538f1f0b8f8639dd29f122c95", "title": "Multimodal fusion based on information gain for emotion recognition in the wild", "addresses": [{"name": "Maastricht University", "source_name": "Maastricht University", "street_adddress": "UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland", "lat": "50.83367120", "lng": "5.71589000", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324224", "http://doi.org/10.1109/intellisys.2017.8324224"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "fdb80f9c506e69fac4d31fd9dcefc2120c990e5f", "title": "Deep Learning in the Wild", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04950.pdf"], "doi": []}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "4fb009787697cd47914fca1085b8fd932fe26337", "title": "WildFish: A Large Benchmark for Fish Recognition in the Wild", "addresses": [{"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240616"]}, {"id": "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "title": "Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666277"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "2edc6df161f6aadbef9c12408bdb367e72c3c967", "title": "Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666278"]}, {"id": "af403e5eaae305260283d2f301fa00402835ffa5", "title": "Directions robot: in-the-wild experiences and lessons learned", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ed05/5c3c6298db572b291f0e5742763db8a6fbce.pdf"], "doi": []}, {"id": "177bc509dd0c7b8d388bb47403f28d6228c14b5c", "title": "Deep Learning Face Representation from Predicting 10,000 Classes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf", "http://user.ceng.metu.edu.tr/~gcinbis/courses/Spring17/CS559/presentations/W12b_SayginDogu.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909640", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.244", "http://doi.org/10.1109/CVPR.2014.244"]}, {"id": "ad29afdbce160d3749a3685da75bc35b16d64b95", "title": "Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830588"]}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "709ec2146eace9707953e72463de4805b83c720a", "title": "Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264992"]}, {"id": "04f0292d9a062634623516edd01d92595f03bd3f", "title": "Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531742"]}, {"id": "87380b03f2c0a5f2c80b5a109c81405b0718c76d", "title": "The genomic landscape underlying phenotypic integrity in the face of gene flow in crows", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://pub.ist.ac.at/~payne/Poelstra_et_al-2014-Crows.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/29667/Poelstra_0-260687.pdf?isAllowed=y&sequence=3"], "doi": ["https://doi.org/10.1126/science.1253226", "https://www.ncbi.nlm.nih.gov/pubmed/24948738"]}, {"id": "188d823521b7d00abd6876f87509938dddfa64cf", "title": "Articulated pose estimation with flexible mixtures-of-parts", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://vision.ics.uci.edu/papers/YangR_CVPR_2011/YangR_CVPR_2011.pdf", "http://www.ics.uci.edu/~dramanan/papers/pose2011.pdf", "http://www.ics.uci.edu/~yyang8/research/pose/pose2011_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995741", "http://doi.org/10.1109/CVPR.2011.5995741"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "c4e5e9dfac23d26ca866467f415f383a0c65f5c8", "title": "Visual Voice Activity Detection in the Wild", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420734"]}, {"id": "93e451f71245f8e5ba346a48de2d09c0bccc3c22", "title": "Towards an \u201cIn-the-Wild\u201d Emotion Dataset Using a Game-Based Framework", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02678.pdf"], "doi": []}, {"id": "f0f89b9336f871d8c6ebbaefbae171efcd7ff4fd", "title": "Competition between Jagged-Notch and Endothelin1 Signaling Selectively Restricts Cartilage Formation in the Zebrafish Upper Face", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0f8/9b9336f871d8c6ebbaefbae171efcd7ff4fd.pdf"], "doi": []}, {"id": "bccad316045861ef4ceb288f7dd9dff5cc2e5cc1", "title": "CamForensics: Understanding Visual Privacy Leaks in the Wild", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131683"]}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "244c7d89bcd67b26756123edf44c71fd5f39dea6", "title": "GestureGAN for Hand Gesture-to-Gesture Translation in the Wild", "addresses": [{"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}, {"name": "University of Oxford & University of Trento", "source_name": "University of Oxford & University of Trento, Oxford, United Kingdom", "street_adddress": "Oxford OX1 2JD, UK", "lat": "51.75481640", "lng": "-1.25436680", "type": "edu", "country": "United Kingdom"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne & University of Trento, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240704"]}, {"id": "5a5c85cf5c21a3559fbdf7da2263c7da860ea193", "title": "Learning supervised scoring ensemble for emotion recognition in the wild", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143009"]}, {"id": "2f16b13d8b118ba2cd35a13568149f6ddb22219d", "title": "Taming the Wild RubisCO: Explorations in Functional Metagenomics", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2f16/b13d8b118ba2cd35a13568149f6ddb22219d.pdf"], "doi": []}, {"id": "23f18899037c77efea58cbde7b029225af7e0db9", "title": "Face alignment using structured random regressors combined with statistical shape model fitting", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727052", "http://doi.org/10.1109/IVCNZ.2013.6727052"]}, {"id": "890a4a3f7006a39b614d8836d67cc46a6a2a36c9", "title": "Multi-scale score level fusion of local descriptors for gender classification in the wild", "addresses": [{"name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "source_name": "SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3653-2"]}, {"id": "c00935052d80cddedb53da1ed042055faaf3aa1b", "title": "Re-identifying people in the wild", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "source_name": "Universitat Polit\u00e8cnica de Val\u00e8ncia, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain", "street_adddress": "Universitat Polit\u00e8cnica de, Camino de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.47908500", "lng": "-0.33364500", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638065", "http://doi.org/10.1109/ICASSP.2013.6638065"]}, {"id": "89cce3cd411901e5de02cf508679d0ed2fd3bbe1", "title": "Dietary contribution of Wild Edible Plants to women\u2019s diets in the buffer zone around the Lama forest, Benin \u2013 an underutilized potential", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://dspace.itg.be/bitstream/handle/10390/8332/2014fsec0833.pdf;sequence=1", "https://biblio.ugent.be/publication/5736684/file/5890311.pdf", "https://bioversityinternational.org/fileadmin/_migrated/uploads/tx_news/Dietary_contribution_of_wild_edible_plants_to_women_s_diets_in_the_buffer_zone_1881.pdf"], "doi": ["https://doi.org/10.1007/s12571-014-0396-7"]}, {"id": "111ccb406a68d3fa898d65e059d1c8dab71f26d6", "title": "Expression analysis in the wild: from individual to groups", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461529"]}, {"id": "0e6bcc235037d91ccdf74c449a1f6990848ce993", "title": "Detector discovery in the wild: Joint multiple instance and representation learning", "addresses": [{"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298906"]}, {"id": "2cf3564d7421b661e84251d280d159d4b3ebb336", "title": "Discriminating projections for estimating face age in wild images", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}, {"name": "University of North Carolina, Wilmington", "source_name": "UNCW, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996287", "http://doi.org/10.1109/BTAS.2014.6996287"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "cfc158b31623d4f9f9cce547616dbaaa083b2291", "title": "Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7891939"]}, {"id": "02b3a4fdc8d2322ac41c664563ee036a973fd126", "title": "Faces in the Distorting Mirror: Revisiting Photo-based Social Authentication", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FORTH, Heraklion, Greece", "source_name": "Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece", "street_adddress": "Heraklion, Greece", "lat": "35.33873520", "lng": "25.14421260", "type": "edu", "country": "Greece"}, {"name": "Politecnico di Milano", "source_name": "Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it", "street_adddress": "5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy", "lat": "45.47866980", "lng": "9.23242090", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2660317"]}, {"id": "d0e7b0b3dcea6aed5c746f9fab73d8b183dbb79e", "title": "Multimodal Sentiment Analysis in the Wild: Ethical considerations on Data Collection, Annotation, and Exploitation", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d0e7/b0b3dcea6aed5c746f9fab73d8b183dbb79e.pdf"], "doi": []}, {"id": "e2fe04d9a3bd3aa3cbd9c281170b4f49119a88fd", "title": "Detecting kangaroos in the wild: the first step towards automated animal surveillance", "addresses": [{"name": "Queensland Parks and Wildlife Service, Australia", "source_name": "Queensland Parks and Wildlife Service, Australia", "street_adddress": "890 Binna Burra Rd, Binna Burra QLD 4211, Australia", "lat": "-28.19433350", "lng": "153.18424230", "type": "gov", "country": "Australia"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7178313"]}, {"id": "13be4f13dac6c9a93f969f823c4b8c88f607a8c4", "title": "Family in the Wild (FIW): A Large-scale Kinship Recognition Database", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/13be/4f13dac6c9a93f969f823c4b8c88f607a8c4.pdf"], "doi": []}, {"id": "0d3068b352c3733c9e1cc75e449bf7df1f7b10a4", "title": "Context Based Facial Expression Analysis in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~adhall/Dhall_ACII_DC_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6681502", "http://doi.ieeecomputersociety.org/10.1109/ACII.2013.111", "http://doi.org/10.1109/ACII.2013.111"]}, {"id": "71aac0c95beb71581f8308a1cc3932acacefb7c5", "title": "Fluid Grouping: Quantifying Group Engagement around Interactive Tabletop Exhibits in the Wild", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702231"]}, {"id": "540831094fd9b80469c8dacb9320b7e342b50e03", "title": "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05561.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "e5533c70706109ee8d0b2a4360fbe73fd3b0f35d", "title": "How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07332.pdf"], "doi": []}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"], "doi": []}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "title": "Coarse-to-fine facial landmarks localization based on convolutional feature", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256378", "http://doi.org/10.1109/BESC.2017.8256378"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "5e97a1095f2811e0bc188f52380ea7c9c460c896", "title": "Facial feature parsing and landmark detection via low-rank matrix decomposition", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.utk.edu/~rguo1/FacialParsing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351510", "http://doi.org/10.1109/ICIP.2015.7351510"]}, {"id": "ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c", "title": "Fast Localization of Facial Landmark Points", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6888.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "73a70595af6500505b46de91afbe108ce2fc2aee", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005459"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "98ea47f63aed83951217870771da3f57b0295689", "title": "Recurrent Shape Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8341745"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "title": "Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532432", "http://doi.org/10.1109/ICIP.2016.7532432"]}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6412675"]}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"id": "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "title": "A New Method for Face Alignment under Extreme Poses and Occlusion", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546065"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ab7923968660d04434271559c4634790dc68c58e", "title": "Facial landmark detection via cascade multi-channel convolutional neural network", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351111", "http://doi.org/10.1109/ICIP.2015.7351111"]}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "62e834114b58a58a2ea2d7b6dd7b0ce657a64317", "title": "Adaptive facial feature extraction", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6973987", "http://doi.org/10.1109/SMC.2014.6973987"]}, {"id": "92e464a5a67582d5209fa75e3b29de05d82c7c86", "title": "Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf"], "doi": []}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "4c87aafa779747828054cffee3125fcea332364d", "title": "View-Constrained Latent Variable Model for Multi-view Facial Expression Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c87/aafa779747828054cffee3125fcea332364d.pdf"], "doi": []}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "6a931e7b7475635f089dd33e8d9a2899ae963804", "title": "Unified convolutional neural network for direct facial keypoints detection", "addresses": [{"name": "Pusan National University", "source_name": "Pusan National University, Pusan, Korea", "street_adddress": "2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea", "lat": "35.23315760", "lng": "129.07951000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1561-3"]}, {"id": "3c88ffb74573c87c994106b3ae164f316182fc2c", "title": "Shape-appearance-correlated active appearance model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/43334/1/SAC-AAM_v10_Huiling_20151023_modifiedVersion.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.002"]}, {"id": "c069629a51f6c1c301eb20ed77bc6b586c24ce32", "title": "The Caltech-UCSD Birds-200-2011 Dataset", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c069/629a51f6c1c301eb20ed77bc6b586c24ce32.pdf"], "doi": []}, {"id": "ad0863aa16301d7c6617f8b965a64cf58f38594f", "title": "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra and Australian National University", "source_name": "University of Canberra and Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2829994"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "0d778271ed979ebfb59029647b4bf43c8ba34a85", "title": "MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09749.pdf"], "doi": []}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "3aea679168c72c6df7ead45d4f7f1fd7f3680a11", "title": "Towards Accurate Multi-person Pose Estimation in the Wild", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01779.pdf"], "doi": []}, {"id": "e3c8e49ffa7beceffca3f7f276c27ae6d29b35db", "title": "Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02182.pdf"], "doi": []}, {"id": "3918a0c698a9bc1ec576e2f5138ff5af41892822", "title": "It \u2019 s in the bag : Stronger supervision for automated face labelling", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3918/a0c698a9bc1ec576e2f5138ff5af41892822.pdf"], "doi": []}, {"id": "055fec9810fe1e98944a229303b0000afbb47b31", "title": "A large-scale hierarchical multi-view RGB-D object dataset", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980382"]}, {"id": "84f003d3cfb093b0cebfa3ae8ae5f138a5677558", "title": "Kinship verification in the wild: The first kinship verification competition", "addresses": [{"name": "Advanced Digital Sciences Center, Singapore", "source_name": "Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Capital Normal University", "source_name": "Capital Normal University", "street_adddress": "\u9996\u90fd\u5e08\u8303\u5927\u5b66, \u5cad\u5357\u8def, \u897f\u5189\u6751, \u6d77\u6dc0\u533a, 100048, \u4e2d\u56fd", "lat": "39.92864575", "lng": "116.30104052", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Politecnico di Torino, DAUIN, Italy", "source_name": "Politecnico di Torino, DAUIN, Italy", "street_adddress": "d, Corso Castelfidardo, 34, 10138 Torino TO, Italy", "lat": "45.06422430", "lng": "7.65973340", "type": "edu", "country": "Italy"}, {"name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "source_name": "SIANI-Universidad de Las Palmas de Gran Canaria, Spain", "street_adddress": "35017 Las Palmas de Gran Canaria, Las Palmas, Spain", "lat": "28.08044910", "lng": "-15.45259340", "type": "edu", "country": "Spain"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.kinfacew.com/papers/kinship_ijcb14.pdf", "https://acceda.ulpgc.es:8443/bitstream/10553/15755/5/C088_IJCB14_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996230", "http://doi.org/10.1109/BTAS.2014.6996230"]}, {"id": "751b26e7791b29e4e53ab915bfd263f96f531f56", "title": "Mood meter: counting smiles in the wild", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2370264"]}, {"id": "bec31269632c17206deb90cd74367d1e6586f75f", "title": "Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08690.pdf"], "doi": []}, {"id": "41951953579a0e3620f0235e5fcb80b930e6eee3", "title": "Deep Learning Face Representation by Joint Identification-Verification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.4773.pdf"], "doi": []}, {"id": "8e8a6623b4abd2452779c43f3c2085488dfcb323", "title": "Multi-clue fusion for emotion recognition in the wild", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997630"]}, {"id": "8ffa008fc08595da0cadc80dcaefb60c3cf41ba9", "title": "Performance-Led Research in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2491502"]}, {"id": "ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2", "title": "Audio Visual Recognition of Spontaneous Emotions In-the-Wild", "addresses": [{"name": "Interuniversity Microelectronics Centre", "source_name": "Interuniversity Microelectronics Centre, Heverlee, Belgium", "street_adddress": "Heverlee, 3001 Leuven, Belgium", "lat": "50.86260720", "lng": "4.69588890", "type": "edu", "country": "Belgium"}, {"name": "Northwestern Polytechnical University (NPU)", "source_name": "NPU-VUB Joint AVSP Lab, Northwestern Polytechnical University (NPU), Xi\u2019an, China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}, {"name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "source_name": "Shaanxi Key Laboratory on Speech and Image Information Processing, Xi\u2019an, China", "street_adddress": "Xi'an, Shaanxi, China", "lat": "34.34157400", "lng": "108.93977000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-3005-5_57"]}, {"id": "757f7f1a1cd62cf00150cdcfbdc5cd02c63553f1", "title": "HoloNet: towards robust emotion recognition in the wild", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997639"]}, {"id": "b8df2c2fa02a37d09b73277ca4edde654ac80953", "title": "Exploiting Facial Landmarks for Emotion Recognition in the Wild.", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09129.pdf"], "doi": []}, {"id": "e99b444b05cc1252bc131ddd46214c9e727f668c", "title": "3D Hand Shape and Pose from Images in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03451.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "a28adc7e175e03b59a3bec8cdc0172670db55e62", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297067"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.06451.pdf"], "doi": []}, {"id": "3c97c32ff575989ef2869f86d89c63005fc11ba9", "title": "Face Detection with the Faster R-CNN", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.03473.pdf"], "doi": []}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "4dae1c18838233338481e3ed29bf6e1252cb68f2", "title": "Toward a Comprehensive Face Detector in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122006"]}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "66449f6eb492864c86ab80e81417b5003a76a36b", "title": "Video emotion recognition in the wild based on fusion of multimodal features", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997629"]}, {"id": "8b547b87fd95c8ff6a74f89a2b072b60ec0a3351", "title": "Initial perceptions of a casual game to crowdsource facial expressions in the wild", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8b54/7b87fd95c8ff6a74f89a2b072b60ec0a3351.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/megaface.json b/site/datasets/final/megaface.json index d6a1fde8..a4a73e54 100644 --- a/site/datasets/final/megaface.json +++ b/site/datasets/final/megaface.json @@ -1 +1 @@ -{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "dataset": {"key": "megaface", "name_short": "MegaFace", "name_display": "MegaFace Dataset", "name_full": "MegaFace Dataset", "purpose": "face recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://megaface.cs.washington.edu/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "4,753,520 ", "videos": "", "tracklets": "", "identities": "672,057 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "key": "megaface", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "address": {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "key": "megaface", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "year": "2016", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}], "citations": [{"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}, {"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3", "title": "Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01619.pdf"], "doi": []}, {"id": "cbbd13c29d042743f0139f1e044b6bca731886d0", "title": "Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbbd/13c29d042743f0139f1e044b6bca731886d0.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06591.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "dde5125baefa1141f1ed50479a3fd67c528a965f", "title": "Synthesizing Normalized Faces from Facial Identity Features", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04851.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}]} \ No newline at end of file +{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "dataset": {"key": "megaface", "name_short": "MegaFace", "name_display": "MegaFace Dataset", "name_full": "MegaFace Dataset", "purpose": "face recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://megaface.cs.washington.edu/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "4,753,520 ", "videos": "", "tracklets": "", "identities": "672,057 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "key": "megaface", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "address": {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "key": "megaface", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "year": "2016", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}], "citations": [{"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}, {"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3", "title": "Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01619.pdf"], "doi": []}, {"id": "cbbd13c29d042743f0139f1e044b6bca731886d0", "title": "Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbbd/13c29d042743f0139f1e044b6bca731886d0.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06591.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "dde5125baefa1141f1ed50479a3fd67c528a965f", "title": "Synthesizing Normalized Faces from Facial Identity Features", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04851.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "6193c833ad25ac27abbde1a31c1cabe56ce1515b", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f25/7ca18a92c3595db3bda3224927ec494003a5.pdf"], "doi": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "3baa3d5325f00c7edc1f1427fcd5bdc6a420a63f", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/msceleb.json b/site/datasets/final/msceleb.json index 42261115..4c94893c 100644 --- a/site/datasets/final/msceleb.json +++ b/site/datasets/final/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "dataset": {"key": "msceleb", "name_short": "MsCeleb", "name_display": "Microsoft Celeb", "name_full": "Microsoft Celebrity Dataset", "purpose": "Face recognition", "comment": "", "created_by": "Microsoft Research", "funded_by": "Microsoft Research", "funded_by_short": "Microsoft Research", "used_by": "", "license": "", "url": "http://www.msceleb.org/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "10,000,000 ", "videos": "", "tracklets": "", "identities": "100,000 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "NA", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "291265db88023e92bb8c8e6390438e5da148e8f5", "key": "msceleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "address": {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "MsCeleb", "doi": []}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248342", "http://doi.org/10.1109/ICSAI.2017.8248342"]}, {"id": "db35e0d084ac38dae8d80901bdfd5af6191f8a5e", "title": "Virtual Class Enhanced Discriminative Embedding Learning", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12611.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "4f10a7697fb2a2c626d1190db2afba83c4ffe856", "title": "Cartoon-to-Photo Facial Translation with Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f10/a7697fb2a2c626d1190db2afba83c4ffe856.pdf"], "doi": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "153fbae25efd061f9046970071d0cfe739a35a0e", "title": "FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545274"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "7c1e9eac39dfc98a54e4d3a80e5734cbfc33178b", "title": "Disentangled Variational Representation for Heterogeneous Face Recognition", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1809.01936.pdf"], "doi": []}, {"id": "98518fc368d7e1478cef40f5f8fd4468763645ad", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"name": "University of South China", "source_name": "University of South China, Hunan, China", "street_adddress": "China, Hunan Sheng, Hengyang Shi, Zhengxiang Qu, \u5e38\u80dc\u897f\u8def28\u53f7", "lat": "26.89887000", "lng": "112.59043500", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/cin/2018/4512473.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29849547", "https://doi.org/10.1155/2018%2F4512473", "https://www.wikidata.org/entity/Q55220544"]}, {"id": "7a131fafa7058fb75fdca32d0529bc7cb50429bd", "title": "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04086.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "title": "Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12026.pdf"], "doi": []}, {"id": "361eaef45fccfffd5b7df12fba902490a7d24a8d", "title": "Robust deep learning features for face recognition under mismatched conditions", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404319", "http://doi.org/10.1109/SIU.2018.8404319", "https://doi.org/10.1109/SIU.2018.8404319"]}, {"id": "e47f4a127f41c055fb7893ddc295932ead783c63", "title": "Adversarial Discriminative Heterogeneous Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03675.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "title": "To appear in ICB 2018 Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "26567da544239cc6628c5696b0b10539144cbd57", "title": "The GAN that Warped: Semantic Attribute Editing with Unpaired Data", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12784.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "title": "L2-constrained Softmax Loss for Discriminative Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09507.pdf"], "doi": []}, {"id": "3011b5fce49112228711a9e5f92d6f191687c1ea", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "addresses": [{"name": "University of Modena and Reggio", "source_name": "DIEF, University of Modena and Reggio, Modena, 41125, Italy", "street_adddress": "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "lat": "44.62918470", "lng": "10.94879780", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "1929863fff917ee7f6dc428fc1ce732777668eca", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "3a27d164e931c422d16481916a2fa6401b74bcef", "title": "Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03654.pdf"], "doi": []}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "title": "Pairwise Relational Networks for Face Recognition", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "addresses": [{"name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "source_name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f02f0f6fcd56a9b1407045de6634df15c60a85cd", "title": "Learning Low-shot facial representations via 2D warping", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05015.pdf"], "doi": []}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"], "doi": []}, {"id": "19fa871626df604639550c6445d2f76cd369dd13", "title": "DocFace: Matching ID Document Photos to Selfies", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02283.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"], "doi": []}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "1da8178bfca7c76cae53ec34364d86c7d5713fdd", "title": "Pairwise Relational Networks using Local Appearance Features for Face Recognition", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06405.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Research, Princeton, NJ", "source_name": "Siemens Corporate Research, Princeton, NJ", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "85d040c9886d6a966a96516e6c6df1e17060e384", "title": "Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector", "addresses": [{"name": "Graduate University of Advanced Studies", "source_name": "Graduate university of for Advanced Studies, Kanagawa, Japan", "street_adddress": "Shonankokusaimura, Hayama, Miura District, Kanagawa Prefecture 240-0193, Japan", "lat": "35.26109500", "lng": "139.60838900", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486579"]}, {"id": "f917cdd7f7330454e52205ebda6147aa9fdef9da", "title": "Perceptual Face Completion using a Local-Global Generative Adversarial Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545559"]}, {"id": "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "title": "Robust Distance Metric Learning via Bayesian Inference", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8186228", "http://doi.org/10.1109/TIP.2017.2782366", "https://www.ncbi.nlm.nih.gov/pubmed/29990222"]}, {"id": "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "title": "Faces as Lighting Probes via Unsupervised Deep Highlight Extraction", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06340.pdf"], "doi": []}, {"id": "46702e0127e16a4d6a1feda3ffc5f0f123957e87", "title": "Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06131.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "7fa4e972da46735971aad52413d17c4014c49e6e", "title": "How to Train Triplet Networks with 100K Identities?", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02940.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "0c65226edb466204189b5aec8f1033542e2c17aa", "title": "A study of CNN outside of training conditions", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296997", "http://doi.org/10.1109/ICIP.2017.8296997"]}, {"id": "fb3ff56ab12bd250caf8254eca30cd97984a949a", "title": "Face recognition Face2vec based on deep learning: Small database case", "addresses": [{"name": "Institute of Electronics and Computer Science, Riga, Latvia", "source_name": "Institute of Electronics and Computer Science, Riga, Latvia", "street_adddress": "Dz\u0113rbenes iela 14, Vidzemes priek\u0161pils\u0113ta, R\u012bga, LV-1006, Latvia", "lat": "56.97731900", "lng": "24.19439000", "type": "edu", "country": "Latvia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S0146411617010072"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "c053e59f0df43980ce7dd6d781f07df0f5b58a1f", "title": "Joint Pixel and Feature-level Domain Adaptation in the Wild", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00068.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "title": "Face-Voice Matching using Cross-modal Embeddings", "addresses": [{"name": "Hitachi, Ltd., Tokyo, Japan", "source_name": "Hitachi, Ltd., Tokyo, Japan", "street_adddress": "Japan, \u3012101-0021 Tokyo, Chiyoda, Sotokanda, 1 Chome\u221218\u2212\uff11\uff13 \u79cb\u8449\u539f\u30c0\u30a4\u30d3\u30eb", "lat": "35.69925030", "lng": "139.77215680", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240601"]}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1109/ICIP.2018.8451704"]}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "6f5309d8cc76d3d300b72745887addd2a2480ba8", "title": "KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3134425"]}, {"id": "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "title": "Feature Learning for One-Shot Face Recognition", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451464"]}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "c71217b2b111a51a31cf1107c71d250348d1ff68", "title": "One Network to Solve Them All \u2014 Solving Linear Inverse Problems Using Deep Projection Models", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09912.pdf"], "doi": []}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "addresses": [{"name": "La Rochelle University", "source_name": "L3i Laboratory, La Rochelle University, Rochelle, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "c71b0ed402437470f229b3fdabb88ad044c092ea", "title": "Dynamic Conditional Networks for Few-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c71b/0ed402437470f229b3fdabb88ad044c092ea.pdf"], "doi": []}, {"id": "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "title": "Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08107.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "addresses": [{"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"name": "University of Marburg", "source_name": "University of Marburg, Marburg, Germany", "street_adddress": "Biegenstra\u00dfe 10, 35037 Marburg, Germany", "lat": "50.81068590", "lng": "8.77416410", "type": "edu", "country": "Germany"}, {"name": "German National Library of Science and Technology, Hannover, Germany", "source_name": "German National Library of Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "source_name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "street_adddress": "C\u00e4sarstra\u00dfe 58, 50968 K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "company", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4962-9", "https://www.wikidata.org/entity/Q57757290"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "313d5eba97fe064bdc1f00b7587a4b3543ef712a", "title": "Compact Deep Aggregation for Set Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb7f/93467b0ec1afd43d995e511f5d7bf052a5af.pdf"], "doi": []}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "title": "FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01288.pdf"], "doi": []}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "title": "Coupled Deep Learning for Heterogeneous Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02450.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "title": "GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf"], "doi": []}, {"id": "3901f177642912be3fd132807a1e7d16796d1011", "title": "Selecting active frames for action recognition with vote fusion method", "addresses": [{"name": "Hanoi National University of Education", "source_name": "Hanoi National University of Education, Hanoi, Vietnam", "street_adddress": "S\u1ed1 136 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i 123106, Vietnam", "lat": "21.03741430", "lng": "105.78334730", "type": "edu", "country": "Vietnam"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Engineering and Technology, Vietnam", "source_name": "University of Engineering and Technology, Hanoi, Vietnam", "street_adddress": "144 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i, Vietnam", "lat": "21.03823750", "lng": "105.78270760", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539313"]}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "addresses": [{"name": "Shenzhen Institute of Wuhan University", "source_name": "Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China", "street_adddress": "6 Yuexing 3rd Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.52831570", "lng": "113.94481000", "type": "edu", "country": "China"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "title": "Deep Correlation Feature Learning for Face Verification in the Wild", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976346", "http://doi.org/10.1109/LSP.2017.2726105"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "addresses": [{"name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "source_name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "CASIA, National Laboratory of Pattern Recognition", "source_name": "CASIA, National Laboratory of Pattern Recognition", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "dec0c26855da90876c405e9fd42830c3051c2f5f", "title": "Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "addresses": [{"name": "Ecole Centrale de Lyon", "source_name": "Ecole Centrale de Lyon, Lyon, 69134, France", "street_adddress": "EC de Lyon, 36, Avenue Guy de Collongue, \u00c9cully, Lyon, M\u00e9tropole de Lyon, Circonscription d\u00e9partementale du Rh\u00f4ne, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 69134, France", "lat": "45.78336310", "lng": "4.76877036", "type": "edu", "country": "France"}, {"name": "Safran Identity and Security", "source_name": "Safran Identity & Security", "street_adddress": "11 Boulevard Gallieni, 92130 Issy-les-Moulineaux, France", "lat": "48.83249300", "lng": "2.26747400", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"name": "Universit\u00e9 Paris-Saclay, France", "source_name": "Samovar CNRS UMR 5157, T\u00e9l\u00e9com SudParis, Universit\u00e9 Paris-Saclay, Evry, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450", "http://doi.org/10.1109/ATSIP.2018.8364450"]}, {"id": "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "title": "Weakly supervised multiscale-inception learning for web-scale face recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296394", "http://doi.org/10.1109/ICIP.2017.8296394"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "1ca63ee80e1d8a94a0440c2d777f67bfde4c95cd", "title": "Compact Web Video Summarization Via Supervised Learning", "addresses": [{"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551530"]}, {"id": "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "title": "Improved Face Verification with Simple Weighted Feature Combination", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf"], "doi": []}, {"id": "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "title": "Identity Preserving Face Completion for Large Ocular Region Occlusion", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08772.pdf"], "doi": []}, {"id": "cf4e5206722ba16061982b885f8c7c86beacd27c", "title": "Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264990"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "title": "Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545887"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984060"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "title": "Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03990.pdf"], "doi": []}, {"id": "606ee88d9600b332ffae5cd7992a817f9aa996af", "title": "Learning Deep Representations with Probabilistic Knowledge Transfer", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10837.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "ae284bc18eb5e7ebe43d824b967287a5494ed17f", "title": "Human Identification Based on Deep Feature and Transfer Learning", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3289464"]}, {"id": "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "title": "Talking Face Generation by Adversarially Disentangled Audio-Visual Representation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07860.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "title": "Robust Face Recognition with Deep Multi-View Representation Learning", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984061"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "555f5ef266335af8189714297ccbcd6ab77d83f2", "title": "Marginalized CNN: Learning Deep Invariant Representations", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/555f/5ef266335af8189714297ccbcd6ab77d83f2.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "4b6662a1b123f2253b8f9bf0511ca57bfa9db951", "title": "Knot Magnify Loss for Face Recognition", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451838"]}, {"id": "bc8aee2f6b7d9d7b126d1e8dbcd33ea355aa3b37", "title": "SeqFace: Make full use of sequence information for face recognition", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"], "doi": []}]} \ No newline at end of file +{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "dataset": {"key": "msceleb", "name_short": "MsCeleb", "name_display": "Microsoft Celeb", "name_full": "Microsoft Celebrity Dataset", "purpose": "Face recognition", "comment": "", "created_by": "Microsoft Research", "funded_by": "Microsoft Research", "funded_by_short": "Microsoft Research", "used_by": "", "license": "", "url": "http://www.msceleb.org/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "10,000,000 ", "videos": "", "tracklets": "", "identities": "100,000 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "NA", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "291265db88023e92bb8c8e6390438e5da148e8f5", "key": "msceleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "address": {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "MsCeleb", "doi": []}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248342", "http://doi.org/10.1109/ICSAI.2017.8248342"]}, {"id": "db35e0d084ac38dae8d80901bdfd5af6191f8a5e", "title": "Virtual Class Enhanced Discriminative Embedding Learning", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12611.pdf"], "doi": []}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "4f10a7697fb2a2c626d1190db2afba83c4ffe856", "title": "Cartoon-to-Photo Facial Translation with Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f10/a7697fb2a2c626d1190db2afba83c4ffe856.pdf"], "doi": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "153fbae25efd061f9046970071d0cfe739a35a0e", "title": "FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545274"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "7c1e9eac39dfc98a54e4d3a80e5734cbfc33178b", "title": "Disentangled Variational Representation for Heterogeneous Face Recognition", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1809.01936.pdf"], "doi": []}, {"id": "98518fc368d7e1478cef40f5f8fd4468763645ad", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"name": "University of South China", "source_name": "University of South China, Hunan, China", "street_adddress": "China, Hunan Sheng, Hengyang Shi, Zhengxiang Qu, \u5e38\u80dc\u897f\u8def28\u53f7", "lat": "26.89887000", "lng": "112.59043500", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/cin/2018/4512473.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29849547", "https://doi.org/10.1155/2018%2F4512473", "https://www.wikidata.org/entity/Q55220544"]}, {"id": "7a131fafa7058fb75fdca32d0529bc7cb50429bd", "title": "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04086.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "title": "Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12026.pdf"], "doi": []}, {"id": "361eaef45fccfffd5b7df12fba902490a7d24a8d", "title": "Robust deep learning features for face recognition under mismatched conditions", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404319", "http://doi.org/10.1109/SIU.2018.8404319", "https://doi.org/10.1109/SIU.2018.8404319"]}, {"id": "e47f4a127f41c055fb7893ddc295932ead783c63", "title": "Adversarial Discriminative Heterogeneous Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03675.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "title": "To appear in ICB 2018 Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "26567da544239cc6628c5696b0b10539144cbd57", "title": "The GAN that Warped: Semantic Attribute Editing with Unpaired Data", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12784.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01196.pdf"], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "title": "L2-constrained Softmax Loss for Discriminative Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09507.pdf"], "doi": []}, {"id": "3011b5fce49112228711a9e5f92d6f191687c1ea", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "addresses": [{"name": "University of Modena and Reggio", "source_name": "DIEF, University of Modena and Reggio, Modena, 41125, Italy", "street_adddress": "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "lat": "44.62918470", "lng": "10.94879780", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "1929863fff917ee7f6dc428fc1ce732777668eca", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "3a27d164e931c422d16481916a2fa6401b74bcef", "title": "Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03654.pdf"], "doi": []}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "title": "Pairwise Relational Networks for Face Recognition", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "addresses": [{"name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "source_name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f02f0f6fcd56a9b1407045de6634df15c60a85cd", "title": "Learning Low-shot facial representations via 2D warping", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05015.pdf"], "doi": []}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"], "doi": []}, {"id": "19fa871626df604639550c6445d2f76cd369dd13", "title": "DocFace: Matching ID Document Photos to Selfies", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02283.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"], "doi": []}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"], "doi": []}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "1da8178bfca7c76cae53ec34364d86c7d5713fdd", "title": "Pairwise Relational Networks using Local Appearance Features for Face Recognition", "addresses": [{"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06405.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Siemens Corporate Research, Princeton, NJ", "source_name": "Siemens Corporate Research, Princeton, NJ", "street_adddress": "755 College Rd E, Princeton, NJ 08540, USA", "lat": "40.34420790", "lng": "-74.59245990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "85d040c9886d6a966a96516e6c6df1e17060e384", "title": "Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector", "addresses": [{"name": "Graduate University of Advanced Studies", "source_name": "Graduate university of for Advanced Studies, Kanagawa, Japan", "street_adddress": "Shonankokusaimura, Hayama, Miura District, Kanagawa Prefecture 240-0193, Japan", "lat": "35.26109500", "lng": "139.60838900", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8486579"]}, {"id": "f917cdd7f7330454e52205ebda6147aa9fdef9da", "title": "Perceptual Face Completion using a Local-Global Generative Adversarial Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545559"]}, {"id": "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "title": "Robust Distance Metric Learning via Bayesian Inference", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8186228", "http://doi.org/10.1109/TIP.2017.2782366", "https://www.ncbi.nlm.nih.gov/pubmed/29990222"]}, {"id": "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "title": "Faces as Lighting Probes via Unsupervised Deep Highlight Extraction", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06340.pdf"], "doi": []}, {"id": "46702e0127e16a4d6a1feda3ffc5f0f123957e87", "title": "Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06131.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "7fa4e972da46735971aad52413d17c4014c49e6e", "title": "How to Train Triplet Networks with 100K Identities?", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02940.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "0c65226edb466204189b5aec8f1033542e2c17aa", "title": "A study of CNN outside of training conditions", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296997", "http://doi.org/10.1109/ICIP.2017.8296997"]}, {"id": "fb3ff56ab12bd250caf8254eca30cd97984a949a", "title": "Face recognition Face2vec based on deep learning: Small database case", "addresses": [{"name": "Institute of Electronics and Computer Science, Riga, Latvia", "source_name": "Institute of Electronics and Computer Science, Riga, Latvia", "street_adddress": "Dz\u0113rbenes iela 14, Vidzemes priek\u0161pils\u0113ta, R\u012bga, LV-1006, Latvia", "lat": "56.97731900", "lng": "24.19439000", "type": "edu", "country": "Latvia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S0146411617010072"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305036", "http://doi.org/10.1109/VCIP.2017.8305036"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "c053e59f0df43980ce7dd6d781f07df0f5b58a1f", "title": "Joint Pixel and Feature-level Domain Adaptation in the Wild", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00068.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "title": "Face-Voice Matching using Cross-modal Embeddings", "addresses": [{"name": "Hitachi, Ltd., Tokyo, Japan", "source_name": "Hitachi, Ltd., Tokyo, Japan", "street_adddress": "Japan, \u3012101-0021 Tokyo, Chiyoda, Sotokanda, 1 Chome\u221218\u2212\uff11\uff13 \u79cb\u8449\u539f\u30c0\u30a4\u30d3\u30eb", "lat": "35.69925030", "lng": "139.77215680", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240601"]}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1109/ICIP.2018.8451704"]}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "6f5309d8cc76d3d300b72745887addd2a2480ba8", "title": "KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3134425"]}, {"id": "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "title": "Feature Learning for One-Shot Face Recognition", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451464"]}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "c71217b2b111a51a31cf1107c71d250348d1ff68", "title": "One Network to Solve Them All \u2014 Solving Linear Inverse Problems Using Deep Projection Models", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09912.pdf"], "doi": []}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "addresses": [{"name": "La Rochelle University", "source_name": "L3i Laboratory, La Rochelle University, Rochelle, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "c71b0ed402437470f229b3fdabb88ad044c092ea", "title": "Dynamic Conditional Networks for Few-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c71b/0ed402437470f229b3fdabb88ad044c092ea.pdf"], "doi": []}, {"id": "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "title": "Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08107.pdf"], "doi": []}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "addresses": [{"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "44e6ce12b857aeade03a6e5d1b7fb81202c39489", "title": "VoxCeleb2: Deep Speaker Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05622.pdf"], "doi": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"name": "University of Marburg", "source_name": "University of Marburg, Marburg, Germany", "street_adddress": "Biegenstra\u00dfe 10, 35037 Marburg, Germany", "lat": "50.81068590", "lng": "8.77416410", "type": "edu", "country": "Germany"}, {"name": "German National Library of Science and Technology, Hannover, Germany", "source_name": "German National Library of Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "source_name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "street_adddress": "C\u00e4sarstra\u00dfe 58, 50968 K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "company", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4962-9", "https://www.wikidata.org/entity/Q57757290"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "313d5eba97fe064bdc1f00b7587a4b3543ef712a", "title": "Compact Deep Aggregation for Set Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb7f/93467b0ec1afd43d995e511f5d7bf052a5af.pdf"], "doi": []}, {"id": "337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958", "title": "Data-specific Adaptive Threshold for Face Recognition and Authentication", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11160.pdf"], "doi": []}, {"id": "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "title": "FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01288.pdf"], "doi": []}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "title": "Coupled Deep Learning for Heterogeneous Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02450.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "title": "GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf"], "doi": []}, {"id": "3901f177642912be3fd132807a1e7d16796d1011", "title": "Selecting active frames for action recognition with vote fusion method", "addresses": [{"name": "Hanoi National University of Education", "source_name": "Hanoi National University of Education, Hanoi, Vietnam", "street_adddress": "S\u1ed1 136 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i 123106, Vietnam", "lat": "21.03741430", "lng": "105.78334730", "type": "edu", "country": "Vietnam"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "University of Engineering and Technology, Vietnam", "source_name": "University of Engineering and Technology, Hanoi, Vietnam", "street_adddress": "144 Xu\u00e2n Th\u1ee7y, D\u1ecbch V\u1ecdng H\u1eadu, C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i, Vietnam", "lat": "21.03823750", "lng": "105.78270760", "type": "edu", "country": "Vietnam"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539313"]}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "addresses": [{"name": "Shenzhen Institute of Wuhan University", "source_name": "Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China", "street_adddress": "6 Yuexing 3rd Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.52831570", "lng": "113.94481000", "type": "edu", "country": "China"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "title": "Deep Correlation Feature Learning for Face Verification in the Wild", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976346", "http://doi.org/10.1109/LSP.2017.2726105"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "addresses": [{"name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "source_name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "CASIA, National Laboratory of Pattern Recognition", "source_name": "CASIA, National Laboratory of Pattern Recognition", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "dec0c26855da90876c405e9fd42830c3051c2f5f", "title": "Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "addresses": [{"name": "Ecole Centrale de Lyon", "source_name": "Ecole Centrale de Lyon, Lyon, 69134, France", "street_adddress": "EC de Lyon, 36, Avenue Guy de Collongue, \u00c9cully, Lyon, M\u00e9tropole de Lyon, Circonscription d\u00e9partementale du Rh\u00f4ne, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 69134, France", "lat": "45.78336310", "lng": "4.76877036", "type": "edu", "country": "France"}, {"name": "Safran Identity and Security", "source_name": "Safran Identity & Security", "street_adddress": "11 Boulevard Gallieni, 92130 Issy-les-Moulineaux, France", "lat": "48.83249300", "lng": "2.26747400", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"name": "Universit\u00e9 Paris-Saclay, France", "source_name": "Samovar CNRS UMR 5157, T\u00e9l\u00e9com SudParis, Universit\u00e9 Paris-Saclay, Evry, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450", "http://doi.org/10.1109/ATSIP.2018.8364450"]}, {"id": "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "title": "Weakly supervised multiscale-inception learning for web-scale face recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296394", "http://doi.org/10.1109/ICIP.2017.8296394"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "1ca63ee80e1d8a94a0440c2d777f67bfde4c95cd", "title": "Compact Web Video Summarization Via Supervised Learning", "addresses": [{"name": "Microsoft AI & Research", "source_name": "Microsoft AI & Research", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551530"]}, {"id": "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "title": "Improved Face Verification with Simple Weighted Feature Combination", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf"], "doi": []}, {"id": "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "title": "Identity Preserving Face Completion for Large Ocular Region Occlusion", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08772.pdf"], "doi": []}, {"id": "cf4e5206722ba16061982b885f8c7c86beacd27c", "title": "Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264990"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "title": "Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545887"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984060"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "title": "Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03990.pdf"], "doi": []}, {"id": "606ee88d9600b332ffae5cd7992a817f9aa996af", "title": "Learning Deep Representations with Probabilistic Knowledge Transfer", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10837.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "ae284bc18eb5e7ebe43d824b967287a5494ed17f", "title": "Human Identification Based on Deep Feature and Transfer Learning", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3289464"]}, {"id": "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "title": "Talking Face Generation by Adversarially Disentangled Audio-Visual Representation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07860.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"id": "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "title": "Robust Face Recognition with Deep Multi-View Representation Learning", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984061"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"], "doi": []}, {"id": "555f5ef266335af8189714297ccbcd6ab77d83f2", "title": "Marginalized CNN: Learning Deep Invariant Representations", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/555f/5ef266335af8189714297ccbcd6ab77d83f2.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "d0818dac77eee5b970736e57a478bcedfb1b15fe", "title": "KVQA : Knowledge-aware Visual Question Answering", "addresses": [{"name": "IIIT Hyderabad, India", "source_name": "IIIT Hyderabad, India", "street_adddress": "DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44523580", "lng": "78.34927650", "type": "edu", "country": "India"}, {"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d081/8dac77eee5b970736e57a478bcedfb1b15fe.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "f3add06155e270229a39da74fea57e1b60e17eb8", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "2dcf8e993873514b6a9673d56474904fa7e54664", "title": "Probabilistic Face Embeddings", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "4b6662a1b123f2253b8f9bf0511ca57bfa9db951", "title": "Knot Magnify Loss for Face Recognition", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451838"]}, {"id": "bc8aee2f6b7d9d7b126d1e8dbcd33ea355aa3b37", "title": "SeqFace: Make full use of sequence information for face recognition", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"], "doi": []}, {"id": "c43d3ad956118ea1d26d39903097e2db86eae822", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/oxford_town_centre.json b/site/datasets/final/oxford_town_centre.json index 4c511d33..20b2c406 100644 --- a/site/datasets/final/oxford_town_centre.json +++ b/site/datasets/final/oxford_town_centre.json @@ -1 +1 @@ -{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "dataset": {"key": "oxford_town_centre", "name_short": "TownCentre", "name_display": "TownCentre", "name_full": "Oxford Town Centre", "purpose": "Person detection, gaze estimation", "comment": "\"own video dataset of a busy town centre street\" approximately 53 Cornmarket St Oxford, England", "created_by": "", "funded_by": "EU FP6 Hermes project (FP6 IST-027110) and Oxford Risk ", "funded_by_short": "EU FP6 Hermes project and Oxford Risk ", "used_by": "", "license": "", "url": "http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html", "dl_im": "Y", "dl_meta": "Y", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "", "indoor": "", "outdoor": "Y", "campus": "", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2009", "ongoing": "", "images": "", "videos": "1 ", "tracklets": "", "identities": "2,200 ", "img_per_person": "", "num_cameras": "1", "faces_or_persons": "71500", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "fd, fr, track", "size_gb": "0.147", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "key": "oxford_town_centre", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "pdf": [], "address": {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, "name": "TownCentre", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995667"]}, "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "additional_papers": [], "citations": [{"id": "fc685ef21c4b2db0304b830f6a20e31eb0ec0737", "title": "Visualizing and Analyzing Video Content With Interactive Scalable Maps", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of Computer Science", "source_name": "Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579162", "http://doi.org/10.1109/TMM.2016.2614229"]}, {"id": "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "title": "Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03968.pdf"], "doi": []}, {"id": "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "title": "Learning scene-specific pedestrian detectors without real data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sony", "source_name": "Sony Electronics Inc., San Jose, CA, USA", "street_adddress": "1730 N 1st St, San Jose, CA 95112, USA", "lat": "37.36759050", "lng": "-121.91334910", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015-sup.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015.pdf", "http://www.cs.cmu.edu/~kkitani/pdf/HBKK-CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299006", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299006", "http://doi.org/10.1109/CVPR.2015.7299006"]}, {"id": "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "title": "Improvement in object detection using Super Pixels", "addresses": [{"name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "source_name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "street_adddress": "MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India", "lat": "13.03046190", "lng": "77.56468620", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf"], "doi": []}, {"id": "14effecdf4e99a6ef3bb590582ca07e642d49632", "title": "Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3290/55356252ec95df17699487632b7607572ad6.pdf"], "doi": []}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "e23b3779547682b3e1f5a9108ed1afddc97af679", "title": "Silhouette labeling and tracking in calibrated omnidirectional video sequences", "addresses": [{"name": "University of Piraeus", "source_name": "University of Piraeus", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, 80, \u039a\u03b1\u03c1\u03b1\u03bf\u03bb\u03ae \u03ba\u03b1\u03b9 \u0394\u03b7\u03bc\u03b7\u03c4\u03c1\u03af\u03bf\u03c5, \u0391\u03c0\u03cc\u03bb\u03bb\u03c9\u03bd\u03b1\u03c2, \u039d\u03ad\u03bf \u03a6\u03ac\u03bb\u03b7\u03c1\u03bf, \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ac\u03c2, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 185 34, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.94173275", "lng": "23.65303262", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910726"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52", "title": "Continuous tracking in Free Space Optical balloon mesh networks", "addresses": [{"name": "University of Arkansas at Little Rock", "source_name": "University of Arkansas at Little Rock", "street_adddress": "University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA", "lat": "34.72236805", "lng": "-92.33830255", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550317"]}, {"id": "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "title": "A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf"], "doi": []}, {"id": "da9d71087025ca20fe0259b9aabf803e9d556160", "title": "Motion priors based on goals hierarchies in pedestrian tracking applications", "addresses": [{"name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Mexico", "source_name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas (CIMAT A.C.), Guanajuato, Mexico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0832-8"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "6ff6f356244a647ff2a6d9dc27343d3e22840571", "title": "Branch and bound global optima search for tracking a single object in a network of non-overlapping cameras", "addresses": [{"name": "AIT Austrian Institute of Technology, Vienna, Austria", "source_name": "AIT Austrian Institute of Technology, Vienna, Austria", "street_adddress": "Giefinggasse 2, 1210 Wien, Austria", "lat": "48.26830140", "lng": "16.42724830", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Branislav_Micusik/publication/221430103_Branch_and_bound_global_optima_search_for_tracking_a_single_object_in_a_network_of_non-overlapping_cameras/links/0046353b4f60673258000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130470", "http://doi.org/10.1109/ICCVW.2011.6130470"]}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "6947ecf688956184bd7371b3689fb9494139320c", "title": "PETS 2015: Datasets and challenge", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46540/1/2015_AVSS_PETS2015Datasets_Li_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301741", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301741", "http://doi.org/10.1109/AVSS.2015.7301741"]}, {"id": "3e03435792619833d4e2aa14344761b003c10c67", "title": "A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3e03/435792619833d4e2aa14344761b003c10c67.pdf"], "doi": []}, {"id": "290eda31bc13cbd5933acec8b6a25b3e3761c788", "title": "Multiple object tracking with context awareness", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7935.pdf"], "doi": []}, {"id": "4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7", "title": "Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744579", "http://doi.org/10.1109/TCSVT.2016.2629340"]}, {"id": "1f527b5406356018e6dc401a4be8098a5a451891", "title": "Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Jacobs University", "source_name": "Jacobs University", "street_adddress": "Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK", "lat": "53.41291480", "lng": "-2.96897915", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f52/7b5406356018e6dc401a4be8098a5a451891.pdf"], "doi": []}, {"id": "057517452369751bd63d83902ea91558d58161da", "title": "Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382753", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.31", "http://doi.org/10.1109/SIBGRAPI.2012.31"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "6aaa77e241fe55ae0c4ad281e27886ea778f9e23", "title": "F-Formation Detection: Individuating Free-Standing Conversational Groups in Images", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.2702.pdf"], "doi": []}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "title": "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02000.pdf"], "doi": []}, {"id": "e57ce6244ec696ff9aa42d6af7f09eed176153a8", "title": "Instantaneous real-time head pose at a distance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351449", "http://doi.org/10.1109/ICIP.2015.7351449"]}, {"id": "d67d9abc9c9f9e84ab3647d21db70ca98117f709", "title": "Moving people tracking with detection by latent semantic analysis for visual surveillance applications", "addresses": [{"name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "source_name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "street_adddress": "Morena Link Rd, IIITM Campus, Gwalior, Madhya Pradesh 474015, India", "lat": "26.24945320", "lng": "78.17398330", "type": "edu", "country": "India"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-012-1110-4"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "title": "Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf"], "doi": []}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "83d956ed39127058e02395924f96b68e2f8289e0", "title": "Efficient video multicast in wireless surveillance networks for intelligent building", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.cs.cityu.edu.hk/news/seminars/sem2015-2016_no38.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7475084"]}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "title": "Forecasting Interactive Dynamics of Pedestrians with Fictitious Play", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01431.pdf"], "doi": []}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "title": "MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.09100.pdf"], "doi": []}, {"id": "626c71140a93afbb2234642f2634ebf635949263", "title": "Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "Ilha do Fund\u00e3o, S/N - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21945-970, Brazil", "lat": "-22.86176210", "lng": "-43.22838750", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885730"]}, {"id": "ba004e5789bdc565734727ce22820dca77d6407c", "title": "Video target tracking based on fusion state estimation", "addresses": [{"name": "The University of Auckland", "source_name": "Embedded Systems Research Group, The University of Auckland, Auckland, New Zealand", "street_adddress": "UniServices House, Level, 6/70 Symonds St, Grafton, Auckland 1010, New Zealand", "lat": "-36.85604780", "lng": "174.76640670", "type": "edu", "country": "New Zealand"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936530"]}, {"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2b9410889dc6870cc6e0476dbc681049b28ccacb", "title": "Learning to Detect Carried Objects with Minimal Supervision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf", "http://www.cs.umd.edu/~rdondera/cod.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Dondera_Learning_to_Detect_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~morariu/publications/DonderaCarriedObjectSISM13.pdf", "https://drum.lib.umd.edu/bitstream/handle/1903/13339/CS-TR-5018.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595958", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.114", "http://doi.org/10.1109/CVPRW.2013.114"]}, {"id": "bf5214de5a1460e01eccffb74c60a57b43cf099e", "title": "Supporting animal welfare with automatic tracking of giraffes with thermal cameras", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3156142"]}, {"id": "c11f05de35310725d83a4ac9a393f06168acc967", "title": "Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration", "addresses": [{"name": "Glasgow Caledonian University", "source_name": "Glasgow Caledonian University, Glasgow, United Kingdom", "street_adddress": "Cowcaddens Rd, Glasgow G4 0BA, UK", "lat": "55.86681830", "lng": "-4.24996020", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://researchonline.gcu.ac.uk/portal/files/24542977/IEEETransCybernetics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7778232", "http://doi.org/10.1109/TCYB.2016.2631660", "https://www.ncbi.nlm.nih.gov/pubmed/27959835", "https://www.wikidata.org/entity/Q48584156"]}, {"id": "e1678add566a002e1fe5536d8607888549e36ff8", "title": "Object detection and tracking in night time video surveillance", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677410", "http://doi.org/10.1109/URAI.2013.6677410"]}, {"id": "4e82908e6482d973c280deb79c254631a60f1631", "title": "Improving Efficiency and Scalability in Visual Surveillance Applications", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf"], "doi": []}, {"id": "137239cd29634465f35ce261718efece57cfc617", "title": "Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1372/39cd29634465f35ce261718efece57cfc617.pdf"], "doi": []}, {"id": "4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7", "title": "Long-term tracking of multiple interacting pedestrians using a single camera by Advice", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4d60/43a25bf48c6fd6aff6a46597fe1902a9c6a7.pdf"], "doi": []}, {"id": "1627a0c46c29e020268f9225c9042bd6cedd83b5", "title": "Multiple human detection and tracking based on head detection for real-time video surveillance", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-014-2177-x"]}, {"id": "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "title": "Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf"], "doi": []}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "b02581323ad03125e9b18d74ba0c1909d6485dda", "title": "Contextual anomaly detection in crowded surveillance scenes", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441/Context_Aware_Anomaly_Detection_3rdRevision.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2013.11.018", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441"]}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "508ce149508610edd93a17561a460f2199c8609e", "title": "Tracking performance evaluation on PETS 2015 Challenge datasets", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46541/1/2015_AVSS_PETS2015TrackingChallenge_Nawaz_Boyle_Li_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301743", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301743", "http://doi.org/10.1109/AVSS.2015.7301743"]}, {"id": "61a768171bcaf5d0b5359af551d9732015bc4036", "title": "Getting through: modality selection in a multi-sensor-actuator industrial IoT environment", "addresses": [{"name": "Johannes Kepler University, Linz, Austria", "source_name": "JKU, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131561"]}, {"id": "920246280e7e70900762ddfa7c41a79ec4517350", "title": "(MP) 2 T: multiple people multiple parts tracker", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf", "http://homes.cs.washington.edu/~izadinia/files/MPMPT-ECCV12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_8"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "d8bb184afa8e68c569592471d83fdcd9120fe5c6", "title": "Double layer salient parts based multi-people tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351367", "http://doi.org/10.1109/ICIP.2015.7351367"]}, {"id": "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "title": "Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07544.pdf"], "doi": []}, {"id": "72dc0c1e033be838582ef8da6ae3d51b6375cebb", "title": "Multiple human tracking system for unpredictable trajectories", "addresses": [{"name": "University of A Coru\u00f1a", "source_name": "VARPA Group, University of A Coru\u00f1a, A Coru\u00f1a, Spain", "street_adddress": "A Coru\u00f1a, Spain", "lat": "43.36234360", "lng": "-8.41154010", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://www.researchgate.net/profile/Brais_Cancela/publication/260524496_Multiple_human_tracking_system_for_unpredictable_trajectories/links/53d667650cf220632f3d9f50.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0544-7"]}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "0348ff27225e45578c39f000e86bd96aef060c97", "title": "A multistage filtering for detecting group in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846671"]}, {"id": "2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7", "title": "Fast Support Vector Classifier for automated content-based search in video surveillance", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": ["http://alpha.imag.pub.ro/~imironica/publications/CMitrea_ISSCS_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7203953"]}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "85136f57350f29ff299dd13b28885666ae305e57", "title": "Improving object visual tracking performance by scene occluder estimation for video surveillance", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832117"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "084352b63e98d3b3310521fb3bda8cb4a77a0254", "title": "Part-based multiple-person tracking with partial occlusion handling", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Nevada", "source_name": "University of Nevada", "street_adddress": "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "lat": "39.54694490", "lng": "-119.81346566", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/papers/1439.pdf", "http://vision.eecs.ucf.edu/papers/cvpr2012/1439.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247879", "http://doi.org/10.1109/CVPR.2012.6247879"]}, {"id": "30492d91c8ac2e476a25bf7ddf445be00b3d2fe3", "title": "CrowdProbe: Non-invasive Crowd Monitoring with Wi-Fi Probe", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264925"]}, {"id": "961561a96e82d1fb596f030cc1d4aace1bd85a32", "title": "Tracklet Reidentification in Crowded Scenes Using Bag of Spatio-temporal Histograms of Oriented Gradients", "addresses": [{"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://rd.springer.com/content/pdf/10.1007/978-3-642-38989-4_10.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-38989-4_10"]}, {"id": "b787113305ddef424def20920b8b098c7f18bd98", "title": "Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b787/113305ddef424def20920b8b098c7f18bd98.pdf"], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "5b36d1d7279d0db75f52f4934b123a3757bf8092", "title": "Real-time moving objects tracking for mobile-robots using motion information", "addresses": [{"name": "University of Paderborn", "source_name": "GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany", "street_adddress": "L\u00fcthenweg 35, 33106 Paderborn, Germany", "lat": "51.68792000", "lng": "8.68585000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7017674", "http://doi.org/10.1109/SSRR.2014.7017674"]}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612", "title": "Translation-Based KLT Tracker Under Severe Camera Rotation Using GPS/INS Data", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477082", "http://doi.org/10.1109/LGRS.2013.2245858"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10", "title": "TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0852-4"]}, {"id": "43fe6e4c3163435fd829d3c1c41ba17de4e13559", "title": "ReGLe: Spatially Regularized Graph Learning for Visual Tracking", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123288"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "title": "Solving Multiple People Tracking in a Minimum Cost Arborescence", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046817", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.7", "http://doi.org/10.1109/WACVW.2015.7"]}, {"id": "70be5432677c0fbe000ac0c28dda351a950e0536", "title": "Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910023", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.75", "http://doi.org/10.1109/CVPRW.2014.75"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "13a3952eea0445fc4a1825be10acbd3a189355e3", "title": "Coarse-to-fine approach for fast correlation-based visual tracking", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792989", "http://doi.org/10.1109/IECON.2016.7792989"]}, {"id": "a936a60766cbccb27217c3ccfedaa16d4c7b517b", "title": "Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539557", "http://doi.org/10.1109/TITS.2016.2569159"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "679136c2844eeddca34e98e483aca1ff6ef5e902", "title": "Scene-Specific Pedestrian Detection Based on Parallel Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08745.pdf"], "doi": []}, {"id": "4624cbd2395e46159127e285ceaf45b9ab903e17", "title": "A Novel Fuzzy Data Association Approach for Visual Multi-object Tracking", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05004.pdf"], "doi": ["https://doi.org/10.1051/itmconf%2F20171205004"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "addresses": [{"name": "NICTA, Canberra", "source_name": "NICTA, Canberra", "street_adddress": "Canberra ACT 2601, Australia", "lat": "-35.28093680", "lng": "149.13000920", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "8cc56d82787069ca91ac6bb8133e15da6dfe564c", "title": "Multiple person tracking based on slow feature analysis", "addresses": [{"name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "source_name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "street_adddress": "Tianjin, China", "lat": "39.34335740", "lng": "117.36164760", "type": "edu", "country": "China"}, {"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5218-4"]}, {"id": "6624a89894990a9f5edb06feb9e4d5ce6147459f", "title": "Kriging-based prediction and interpolation for modeling pedestrian dynamics", "addresses": [{"name": "Chiba University", "source_name": "Institute of Management and Information Technologies, Chiba University, Chiba, Japan", "street_adddress": "Japan, \u3012263-8522 Chiba Prefecture, \u5343\u8449\u5e02\u7a32\u6bdb\u533a\u5f25\u751f\u753a\uff11\u2212\uff13\uff13", "lat": "35.62773740", "lng": "140.10336820", "type": "edu", "country": "Japan"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023264", "http://doi.org/10.1109/IFSA-SCIS.2017.8023264"]}, {"id": "422d352a7d26fef692a3cd24466bfb5b4526efea", "title": "Pedestrian interaction in tracking : the social force model and global optimization methods", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf"], "doi": []}, {"id": "fa62bb5355ee5447ec651f56b9e06645eb2f56f0", "title": "Co-design system for template matching using dedicated co-processor and modified elephant herding optimization", "addresses": [{"name": "State University of Rio de Janeiro", "source_name": "State University of Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8399903", "http://doi.org/10.1109/LASCAS.2018.8399903"]}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f", "title": "Multi-target Tracking by Rank-1 Tensor Approximation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c387.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "http://www.dabi.temple.edu/~hbling/publication/tensor-mda-7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619153", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.309", "http://doi.org/10.1109/CVPR.2013.309"]}, {"id": "0382a1301094c6ba60b18ffa8d12da6ca0863339", "title": "Online Learned Discriminative Part-Based Appearance Models for Multi-human Tracking", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0382/a1301094c6ba60b18ffa8d12da6ca0863339.pdf"], "doi": []}, {"id": "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "title": "Online Multi-person Tracking by Tracker Hierarchy", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "http://www.cs.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328007", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.51", "http://doi.org/10.1109/AVSS.2012.51"]}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "de0c4459c46c5efbad02cd9a1f4687a12883c5d7", "title": "Asmar Hasanova Pedestrian Detection and Tracking in Urban Context Using a Mono-Camera", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/de0c/4459c46c5efbad02cd9a1f4687a12883c5d7.pdf"], "doi": []}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "bbb44958216281607c282427f3001f7bc36e2385", "title": "Motion instability based unsupervised online abnormal behaviors detection", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2664-8"]}, {"id": "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "title": "Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037515.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.216", "http://doi.org/10.1109/CVPR.2013.216"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "b1bccc71e48ec4a114cef69a492b2e5b3d1f123b", "title": "Visual 3D tracking of child-adult social interactions", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "source_name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "street_adddress": "21 Bloomingdale Rd, White Plains, NY 10605, USA", "lat": "41.02473090", "lng": "-73.75380000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329835", "http://doi.org/10.1109/DEVLRN.2017.8329835"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "7c132e0a2b7e13c78784287af38ad74378da31e5", "title": "Salient Parts based Multi-people Tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf"], "doi": []}, {"id": "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "title": "Training a convolutional neural network for multi-class object detection using solely virtual world data", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738056", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056", "http://doi.org/10.1109/AVSS.2016.7738056"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "title": "Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.05234.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b", "title": "Assessing tracking assessment measures", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://fabio-poiesi.com/files/presentations/poster_icip_2014.pdf", "http://www.eecs.qmul.ac.uk/~andrea/papers/2014_ICIP_MeasuresAssessment_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025088", "http://doi.org/10.1109/ICIP.2014.7025088"]}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "dba7757ea7a390ec0509834a5f457c6f28ae6b76", "title": "A general line tracking algorithm based on computer vision", "addresses": [{"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7531957"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "1874db58583e6e5aeb98f2329d9e1ba44b8f6022", "title": "OPTIMUS:online persistent tracking and identification of many users for smart spaces", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-014-0607-4"]}, {"id": "d7f11ebb73bfe74a57c33f7e75f7981ad9385580", "title": "Real-Time Resource Allocation for Tracking Systems", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4143/440cfded29a9747e42ac1c9ffe926e3164fa.pdf"], "doi": []}, {"id": "975c04f3193615ea7559cca019176e56ce60d052", "title": "Object Detection utilizing Modified Auto Encoder and Convolutional Neural Networks", "addresses": [{"name": "University of Tabriz", "source_name": "University of Tabriz", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u062a\u0628\u0631\u06cc\u0632, \u0634\u0647\u06cc\u062f \u0627\u06cc\u0631\u062c \u062e\u0644\u0648\u062a\u06cc, \u06a9\u0648\u06cc \u0627\u0646\u0642\u0644\u0627\u0628, \u062a\u0628\u0631\u06cc\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0628\u0631\u06cc\u0632, \u0627\u0633\u062a\u0627\u0646 \u0622\u0630\u0631\u0628\u0627\u06cc\u062c\u0627\u0646 \u0634\u0631\u0642\u06cc, 5166616471, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "38.06125530", "lng": "46.32984840", "type": "edu", "country": "Iran"}, {"name": "University of Isfahan", "source_name": "Faculty of Computer Engineering, University of Isfahan, Iran", "street_adddress": "Khomeyni Shahr, Isfahan Province, Iran", "lat": "32.71773310", "lng": "51.52587900", "type": "edu", "country": "Iran"}, {"name": "Universiti Putra Malaysia", "source_name": "Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia", "street_adddress": "Faculty of Computer Science and Information Technology, University Putra Malaysia, Persiaran Universiti 1, Selangor, 43400 Serdang, Malaysia", "lat": "2.99962350", "lng": "101.71034070", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563423"]}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "addresses": [{"name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "source_name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "1883387726897d94b663cc4de4df88e5c31df285", "title": "Measures of Effective Video Tracking", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655935", "http://doi.org/10.1109/TIP.2013.2288578", "https://www.ncbi.nlm.nih.gov/pubmed/24235302", "https://www.wikidata.org/entity/Q48704231"]}, {"id": "846652200134bd02c65c502a4e587a11592479a4", "title": "Survey on Vision-based Path Prediction", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00233.pdf"], "doi": []}, {"id": "9cd7487e0eed11dabc94dd867178204c53eb2270", "title": "Self-Organizing Traffic Lights : A Pedestrian Oriented Approach", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9cd7/487e0eed11dabc94dd867178204c53eb2270.pdf"], "doi": []}, {"id": "cc76729795069f24d66e8c29f1e08b50f8980a53", "title": "Co-design system for template matching using dedicated co-processor and particle swarm optimization", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7948053", "http://doi.org/10.1109/LASCAS.2017.7948053"]}, {"id": "06abf34ed52cefe1181451700346f870c2adb0b5", "title": "Object tracking by supported particles", "addresses": [{"name": "Chonnam National University University", "source_name": "Chonnam National University University, Gwangju, Korea, Gwangju, Korea", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057484", "http://doi.org/10.1109/URAI.2014.7057484"]}, {"id": "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "title": "User interest profiling using tracking-free coarse gaze estimation", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze, Firenze", "source_name": "Università degli Studi di Firenze, Firenze", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf", "https://www.micc.unifi.it/wp-content/uploads/2016/12/ICPR_2016_GAZE.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899904", "http://doi.org/10.1109/ICPR.2016.7899904"]}, {"id": "0f8b4a64eea40c1f0aa655d4e77e46543ff558b7", "title": "Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://astro.temple.edu/~tuc33610/Public/Publications/CVPR2014/Curvilinear_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_Curvilinear_Structure_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909787", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.391", "http://doi.org/10.1109/CVPR.2014.391"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "608305c25aae19dd346153dadedac851f0b7f9ff", "title": "A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/6083/05c25aae19dd346153dadedac851f0b7f9ff.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "4d38a43865e0bcc87dc6ad83331539429e00543c", "title": "Road lane reconstruction using vision \u2014 based macro block spatial predictions", "addresses": [{"name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "source_name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "street_adddress": "Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56550430", "lng": "120.99323340", "type": "edu", "country": "Philippines"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227968", "http://doi.org/10.1109/tencon.2017.8227968"]}, {"id": "6986658717d6430be30acea59a1296125062d5a4", "title": "Cross-camera multi-person tracking by leveraging fast graph mining algorithm", "addresses": [{"name": "Information & Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "source_name": "Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "street_adddress": "China, Zhejiang, Hangzhou, Xihu, Wen'er Rd, 328\u53f7\u5bcc\u4e3d\u79d1\u6280\u5927\u53a6A\u5ea71468", "lat": "30.28271810", "lng": "120.12457080", "type": "company", "country": "China"}, {"name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "source_name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "street_adddress": "Xiamen, Fujian, China", "lat": "24.47983300", "lng": "118.08942500", "type": "company", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5403-5"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "addresses": [{"name": "Changzhou University", "source_name": "Changzhou University, Changzhou, China", "street_adddress": "1 Gehu Middle Rd, Wujin Qu, Changzhou Shi, Jiangsu Sheng, China", "lat": "31.68423700", "lng": "119.95514100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "title": "Exploiting pedestrian interaction via global optimization and social behaviors", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf", "http://www.tnt.uni-hannover.de/papers/data/924/LeaPonRos11SocialLP.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/134/LeaPonRos11SocialLP.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-34091-8_1"]}, {"id": "03ce07616628ac7c7dac92ea714313b674217811", "title": "Deep Learning of Scene-Specific Classifier for Pedestrian Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910472.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zengOWeccv14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10578-9_31"]}, {"id": "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "title": "A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter", "addresses": [{"name": "Ben-Gurion University", "source_name": "Ben-Gurion University, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Orbotech Ltd., Yavne, Israel", "source_name": "Orbotech Ltd., Yavne, Israel", "street_adddress": "HaSanhedrin Blvd 1, Yavne, Israel", "lat": "31.88787670", "lng": "34.73598850", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf", "https://www.cs.bgu.ac.il/~ben-shahar/Publications/2016-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker.pdf", "https://www.cs.bgu.ac.il/~rba/R_Ben-Ari_JRTIP2013.pdf"], "doi": ["http://doi.org/10.1007/s11554-013-0329-2"]}, {"id": "9070045c1a9564a5f25b42f3facc7edf4c302483", "title": "Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf", "http://vision.eecs.ucf.edu/ICCVWorkshop/papers/MSVLC2011_Paper2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130233", "http://doi.org/10.1109/ICCVW.2011.6130233"]}, {"id": "1110f86433302fd6c4cc92e2ac1ddf80b917b25c", "title": "An approach to monitor river catchment with PAL SAR satellite data", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036639"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "076fd6fd85b93858155a1c775f1897f83d52b4c2", "title": "Improving an Object Detector and Extracting Regions Using Superpixels", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d721.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619321", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.477", "http://doi.org/10.1109/CVPR.2013.477"]}, {"id": "60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad", "title": "People-flow counting in complex environments by combining depth and color information", "addresses": [{"name": "Chongqing University of Posts and Telecommunications", "source_name": "Chongqing University of Posts and Telecommunications", "street_adddress": "\u91cd\u5e86\u90ae\u7535\u5927\u5b66, \u5d07\u6587\u8def, \u6e1d\u4e2d\u533a, \u9ec4\u6877\u57ad, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400065, \u4e2d\u56fd", "lat": "29.53570460", "lng": "106.60482474", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3344-z"]}, {"id": "7996a71a86693a721e45ff9482d286a310ada3ad", "title": "Multi-PN-learning for tracking applications", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064407", "http://doi.org/10.1109/ICARCV.2014.7064407"]}, {"id": "6cfa1ecd9b534c08cb4556f5d45fc9843c6d9425", "title": "Multiple Objects Detection using HSV", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8556711"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "f3d0d2f66ab04d9b8d6a590b339cd692b22174df", "title": "Tracking in multimedia data via robust reweighted local multi-task sparse representation for transportation surveillance", "addresses": [{"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3464-5"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae", "title": "Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "University of Sousse", "source_name": "UR: SAGE-ENISo, University of Sousse, Tunisia", "street_adddress": "P\u00f4le technologique de Sousse, Route de Ceinture Sahloul\u060c 4054, Tunisia", "lat": "35.82039000", "lng": "10.59309030", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2974040"]}, {"id": "3434ba5677e5c98e82ee17a1f2d0ddef66d0b009", "title": "Interactive tracking and action retrieval to support human behavior analysis", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3434/ba5677e5c98e82ee17a1f2d0ddef66d0b009.pdf"], "doi": []}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb", "title": "Calibration of multi-camera systems", "addresses": [{"name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "source_name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "street_adddress": "Maestro M. Lopez esq. Cruz Roja, C\u00f3rdoba, Argentina", "lat": "-31.44225000", "lng": "-64.19316580", "type": "edu", "country": "Argentina"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7497094"]}, {"id": "bd75a21797c8fbed8e9a8f293163e4d4c94149fc", "title": "Online multi-object tracking based on hierarchical association and sparse representation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296362", "http://doi.org/10.1109/ICIP.2017.8296362"]}, {"id": "2feb7c57d51df998aafa6f3017662263a91625b4", "title": "Feature Selection for Intelligent Transportation Systems", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "71d4924367ba5d31d87bf1ac724db3f285b345c1", "title": "Recovering background regions in videos of cluttered urban scenes", "addresses": [{"name": "Thales UK, Glasgow", "source_name": "Thales UK, Glasgow", "street_adddress": "1 Linthouse Rd, Glasgow G51 4BZ, UK", "lat": "55.86648580", "lng": "-4.33582740", "type": "company", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351576", "http://doi.org/10.1109/ICIP.2015.7351576"]}, {"id": "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "title": "Multiple-Person Tracking by Detection", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf"], "doi": []}, {"id": "b8af24279c58a718091817236f878c805a7843e1", "title": "Context Aware Anomalous Behaviour Detection in Crowded Surveillance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf"], "doi": []}, {"id": "d29895fca6ae688514850856208c2b88f01ea3e0", "title": "Multi-Target Video Tracking Based on Improved Data Association and Mixed Kalman/ $H_{\\infty }$ Filtering", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555348"]}, {"id": "e5bc872565ef74c3929a4bfb2f785570d546e983", "title": "Video Compression for Object Detection Algorithms", "addresses": [{"name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "source_name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546064"]}, {"id": "ad467baa4f59d18ed998757bcba3df3c2a753df8", "title": "Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1402.2826.pdf"], "doi": []}, {"id": "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "title": "Tracklet association based multi-target tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3238-5"]}, {"id": "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "title": "GPU Accelerated ACF Detector", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf"], "doi": []}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "0a5718f6a60ca18e6b6de5660c49040ac0045d7a", "title": "Automatic classification of the Parkinson \u2019 s patient stiffness from a single videosequence", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0a57/18f6a60ca18e6b6de5660c49040ac0045d7a.pdf"], "doi": []}, {"id": "b45bb3876a7f980490e0b78ed70064d276b13761", "title": "Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes", "addresses": [{"name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "source_name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139258", "http://doi.org/10.1109/ICRA.2015.7139258"]}, {"id": "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "title": "Pattern Recognition", "addresses": [{"name": "University of Erlangen-N\u00fcrnberg", "source_name": "University of Erlangen-N\u00fcrnberg, Erlangen, Germany", "street_adddress": "Schlo\u00dfplatz 4, 91054 Erlangen, Germany", "lat": "49.59788040", "lng": "11.00455070", "type": "edu", "country": "Germany"}, {"name": "University of Kiel", "source_name": "University of Kiel, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "Germany"}, {"name": "University of M\u00fcnster", "source_name": "University of M\u00fcnster, M\u00fcnster, Germany", "street_adddress": "Schlossplatz 2, 48149 M\u00fcnster, Germany", "lat": "51.96357050", "lng": "7.61318260", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://www.fil.ion.ucl.ac.uk/~john/misc/ISBI2015/ISBI_I.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-11752-2"]}, {"id": "0749deedd6dce98b48475f335e2c322b16fcb202", "title": "Hybrid 3D\u20132D human tracking in a top view", "addresses": [{"name": "IBISC laboratory, Evry, France", "source_name": "IBISC laboratory, Evry, France", "street_adddress": "43 Rue du Pelvoux, 91080 Courcouronnes, France", "lat": "48.61325350", "lng": "2.42853710", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-014-0429-7"]}, {"id": "2a7935706d43c01789d43a81a1d391418f220a0a", "title": "Enhancing Linear Programming with Motion Modeling for Multi-target Tracking", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/31960902/285.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045871", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.17", "http://doi.org/10.1109/WACV.2015.17"]}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}, {"id": "9b93626cc87411964712d05905c2dd0a1247d16d", "title": "Multiple instance-based object retrieval in video surveillance: Dataset and evaluation", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936970"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "8cf679ef0ea28557acb86546e4b1b1a617d1c698", "title": "Long Term Multi-Target Tracking based on Detection and Data Association", "addresses": [{"name": "University of Suwon", "source_name": "the University of Suwon, Korea", "street_adddress": "17 Wauan-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do, South Korea", "lat": "37.20899690", "lng": "126.97639770", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8cf6/79ef0ea28557acb86546e4b1b1a617d1c698.pdf"], "doi": []}, {"id": "4643da1a650d34aca300f3222d07fc9c1e622891", "title": "Persistent people tracking and face capture using a PTZ camera", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0758-6", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778246"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54", "title": "A video cloud platform combing online and offline cloud computing technologies", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-015-0879-3"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "addresses": [{"name": "Universit\u00e0 degli Studi di Cagliari, Italy", "source_name": "Universit\u00e0 degli Studi di Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "07f47b063577afc98c6717d6bb046fe72aa75b12", "title": "Online multiperson tracking with occlusion reasoning and unsupervised track motion model", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636613"]}, {"id": "184c3e66a746376716d5e816d95e1a7cb8e04390", "title": "Unsupervised learning of a scene-specific coarse gaze estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "https://media.adelaide.edu.au/acvt/Publications/2011/2011-Unsupervised%20Learning%20of%20a%20Scene-Specific%20Coarse%20Gaze%20Estimator.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126516", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126516", "http://doi.org/10.1109/ICCV.2011.6126516"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "b28eb219db9370cf20063288225cc2f3e6e5f984", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410584", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.227", "http://doi.org/10.1109/ICCV.2015.227"]}, {"id": "f34bc8a28f71be31371b1af0ddc3d1227e33281f", "title": "Robust tracking algorithm with designed marker for limited-power computer", "addresses": [{"name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "source_name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "street_adddress": "3 Thanon Chalong Krung, Khwaeng Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.72699780", "lng": "100.77638460", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7440529"]}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "5d1365b1cb7d51336402d546e1b7640f345757fc", "title": "Runtime Verification for Stream Processing Applications", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d13/65b1cb7d51336402d546e1b7640f345757fc.pdf"], "doi": []}, {"id": "20100323ec5c32ae91add8e866d891a78f1a2bbe", "title": "Unsupervised Object Discovery and Tracking in Video Collections", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.03825.pdf"], "doi": []}, {"id": "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "title": "Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "source_name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "street_adddress": "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "lat": "57.71720040", "lng": "11.92185580", "type": "company", "country": "Sweden"}], "year": "2018", "pdf": ["http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1077-3"]}, {"id": "6749db5ae9547d5fe0fb4c743c631eb5bac69d37", "title": "An adaptive clustering approach for group detection in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314181", "http://doi.org/10.1109/IWSSIP.2015.7314181"]}, {"id": "b17b20c3a3804482a1af3be897758d4f3be26677", "title": "Self-calibrating 3D context for retrieving people with luggage", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.multimedia-computing.de/mediawiki//images/3/35/ICCV_Workshop2011.pdf", "http://www.multimedia-computing.de/mediawiki/images/3/35/ICCV_Workshop2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130483", "http://doi.org/10.1109/ICCVW.2011.6130483"]}, {"id": "5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a", "title": "Constant-time monocular object detection using scene geometry", "addresses": [{"name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "source_name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "street_adddress": "Mikeletegi Pasealekua, 57, Parque Tecnol\u00f3gico de San Sebasti\u00e1n, 20009 Donostia, Gipuzkoa, Spain", "lat": "43.29223900", "lng": "-1.98569200", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-017-0625-8"]}, {"id": "32cd02519928aa91dca18074778a59b2cba19765", "title": "Forecasting crowd dynamics through coarse-grained data analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d29/8ae96e778c6582938476b010f52e0791a46d.pdf"], "doi": []}, {"id": "4ab31fc841890b90d66c30ed2f694a0597f0a081", "title": "Matching heads of multiple people in multiple camera networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628512", "http://doi.org/10.1109/ROMAN.2013.6628512"]}, {"id": "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses", "addresses": [{"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00652.pdf"], "doi": []}, {"id": "6725b986c81964414c39050e0ced11843cc0cbaa", "title": "Modeling crowd dynamics through coarse-grained data analysis.", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6725/b986c81964414c39050e0ced11843cc0cbaa.pdf"], "doi": []}, {"id": "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "title": "\"Seeing is Believing\": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354238", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00134", "http://doi.org/10.1109/WACV.2018.00134"]}, {"id": "fa5aca45965e312362d2d75a69312a0678fdf5d7", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf"], "doi": []}, {"id": "5369b021f2abf5daa77fa5602569bb3b8bb18546", "title": "GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_GMMCP_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299036", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299036", "http://doi.org/10.1109/CVPR.2015.7299036"]}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "224547337e1ace6411a69c2e06ce538bc67923f7", "title": "Convolutional Neural Network for Camera Pose Estimation from Object Detections", "addresses": [{"name": "Faculty of Computer Science, Moscow, Russia", "source_name": "Faculty of Computer Science, Moscow, Russia", "street_adddress": "Kochnovskiy Proyezd, 3, Moskva, Russia, 125319", "lat": "55.80671040", "lng": "37.54163810", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf"], "doi": []}, {"id": "3ad48edfc0b1debd8d327e4dadaa30324b0c2d7b", "title": "The \u2018Masai \u2019andmiraa: public authority, vigilance and criminality in a Ugandan border town*", "addresses": [{"name": "University of Antwerp", "source_name": "University of Antwerp, Wilrijk, Belgium", "street_adddress": "Prinsstraat 13, 2000 Antwerpen, Belgium", "lat": "51.22280970", "lng": "4.41023180", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ad4/8edfc0b1debd8d327e4dadaa30324b0c2d7b.pdf"], "doi": []}, {"id": "f2dd55304aa998e578d8af0c6bd873c121f676be", "title": "The changing profile of pediatric meningitis at a referral centre in Cape Town, South Africa.", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f2dd/55304aa998e578d8af0c6bd873c121f676be.pdf"], "doi": []}, {"id": "f5148d387860b31a4262cc19ae121668ace3f1f1", "title": "A Photo-Based Environmental History of the Use of Climbing Plants in Central Oxford, UK", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f514/8d387860b31a4262cc19ae121668ace3f1f1.pdf"], "doi": []}, {"id": "1c27031daf9429cfe5db1bdd833fff1db911d686", "title": "Tourism Development: Issues for Historic Walled Towns", "addresses": [{"name": "University of the West of England", "source_name": "Machine Vision Laboratory, University of the West of England, Bristol, UK", "street_adddress": "Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK", "lat": "51.50152270", "lng": "-2.54807570", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/1c27/031daf9429cfe5db1bdd833fff1db911d686.pdf"], "doi": []}, {"id": "dd3f22363bc575ccfbed69b0fd2acaf1b758a7ba", "title": "\u201c The Boys Are Coming to Town \u201d : Youth , Armed Conflict and Urban Violence in Developing Countries", "addresses": [{"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}, {"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/dd3f/22363bc575ccfbed69b0fd2acaf1b758a7ba.pdf"], "doi": []}, {"id": "174a07fdd63cd03970aaba903cab6c5f28344ad6", "title": "The introductory astronomy course at the University of Cape Town: probing student perspectives", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.2363.pdf"], "doi": []}, {"id": "aedc5eb7d7a52da0e99f65f07ef5119d0398a244", "title": "3 \u201c WHERE WERE THEY UNTIL NOW ? \u201d Aging , Care and Abandonment in a Bosnian Town", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aedc/5eb7d7a52da0e99f65f07ef5119d0398a244.pdf"], "doi": []}, {"id": "4221f6f9a1e0259dceffa2bfc85ba8dc995a43ee", "title": "Little Knowledge Rules the Web: Domain-Centric Result Page Extraction", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://christian.schallhart.net/publications/2011--rr--little-knowledge-rules-the-web-domain-centric-result-page-extraction.pdf", "http://www.orsigiorgio.net/wp-content/papercite-data/pdf/fgg*11b.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23580-1_6"]}, {"id": "c9c4a3108f201fa51ce2a25c85aea59fbc733d81", "title": "The aquatic macroinvertebrate biodiversity of urban ponds in a medium-sized European town (Loughborough, UK)", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/18381/1/Hill%20et%20al%202015.pdf"], "doi": ["https://doi.org/10.1007/s10750-015-2328-8"]}, {"id": "e2f7fb3fd5b62896213ad0b631df5d1941140957", "title": "Out on the town: A socio-physical approach to the design of a context-aware urban guide", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1534904"]}, {"id": "68df2e24423d80d2d3e37d8e1707501b4cf84b5f", "title": "Design of a solar energy centre for providing lighting and income-generating activities for off-grid rural communities in Kenya", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/85496.pdf", "https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/27616/3/Kenya.pdf"], "doi": ["https://doi.org/10.1016/j.renene.2017.11.053"]}, {"id": "907d179b7721ba5c7638c9b470b495bec919f54a", "title": "Probing primordial non-Gaussianity via iSW measurements with SKA continuum surveys", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "University of the Western Cape", "source_name": "University of the Western Cape", "street_adddress": "University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa", "lat": "-33.93277620", "lng": "18.62915407", "type": "edu", "country": "South Africa"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.0010.pdf"], "doi": []}, {"id": "fe38273f0aae5b572b126e72f81a238931aba758", "title": "Sexualising the sacred, sacralising sexuality: An analysis of public responses to Muslim women's religious leadership in the context of a Cape Town mosque", "addresses": [{"name": "University of KwaZulu-Natal", "source_name": "University of KwaZulu-Natal", "street_adddress": "238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa", "lat": "-29.86742190", "lng": "30.98072720", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fe38/273f0aae5b572b126e72f81a238931aba758.pdf"], "doi": []}, {"id": "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "title": "Learning Deep Features for Scene Recognition using Places Database", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e487/7221c3fd1afb6570c8ac22d909c8c559c572.pdf"], "doi": []}, {"id": "b5ce7b2954cf36f201f633385eb2da8e18afd87b", "title": "Caregivers' Experiences of Pathways to Care for Seriously Ill Children in Cape Town, South Africa: A Qualitative Investigation.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b5ce/7b2954cf36f201f633385eb2da8e18afd87b.pdf"], "doi": []}, {"id": "986c25cd9de882fc528ab569973673479182a0c9", "title": "Pancreatic injuries after blunt abdominal trauma: an analysis of 110 patients treated at a level 1 trauma centre.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9679/948f201ca0eabc3ba6f62db5d8c82ccda90b.pdf"], "doi": []}, {"id": "3ffa6531795dab7c732e61c712ae447b975b62c2", "title": "Return and Reintegration of Minority Refugees : The Complexity of the Serbian Returnees Experiences in the Town of Glina", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ffa/6531795dab7c732e61c712ae447b975b62c2.pdf"], "doi": []}, {"id": "ff33c99c6e4862f70116b648afbbf6ec05668d20", "title": "Fine aggregate resources in the greater Cape Town area", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ff33/c99c6e4862f70116b648afbbf6ec05668d20.pdf"], "doi": []}, {"id": "41bfe00f9d99cacb68c033ae024c7a5987873501", "title": "A town called eco: What notions of sustainable development do the government's proposed eco-towns embody?", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/41bf/e00f9d99cacb68c033ae024c7a5987873501.pdf"], "doi": []}, {"id": "339fc645f16ff35472b11f67fd068098d208ed04", "title": "HIV transmission risk behaviours among HIV seropositive sexually transmitted infection clinic patients in Cape Town, South Africa.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/339f/c645f16ff35472b11f67fd068098d208ed04.pdf"], "doi": []}, {"id": "42c7e2bedaa79ae475dc597b92f1d99b0cb797f1", "title": "A Season in Town: Plantation Women and the Urban South, 1790-1877", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/42c7/e2bedaa79ae475dc597b92f1d99b0cb797f1.pdf"], "doi": []}, {"id": "738128006c1bc172b06aa8951d2d09e8d2655873", "title": "Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7381/28006c1bc172b06aa8951d2d09e8d2655873.pdf"], "doi": []}, {"id": "0900470e632f03a735c7b3a8b4fbc18ef28ffd60", "title": "Association between socioeconomic status and renal function in a population of German patients with diabetic nephropathy treated at a tertiary centre.", "addresses": [{"name": "University of Jena", "source_name": "Computer Vision Group, University of Jena, Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0900/470e632f03a735c7b3a8b4fbc18ef28ffd60.pdf"], "doi": []}, {"id": "713bada3c1b324077e34059e11ee155349301361", "title": "A large and persistent carbon sink in the world's forests.", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/57a5/fbdac3d0489152a0c2822f6b8f510a05042a.pdf"], "doi": []}, {"id": "61e0d1042c9456ee9cb819a2408e6c217ddee90c", "title": "Initiating mobile phone technology using QR Codes to access library services at the University of Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/61e0/d1042c9456ee9cb819a2408e6c217ddee90c.pdf"], "doi": []}, {"id": "0de633523504718f103669721a081bd5b1c16223", "title": "Language choice and sexual communication among Xhosa speakers in Cape Town, South Africa: implications for HIV prevention message development.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0de6/33523504718f103669721a081bd5b1c16223.pdf"], "doi": []}, {"id": "51e6f15168c8e7c5ce2a649c73867466661c543e", "title": "Observation of Autler-Townes effect in a dispersively dressed Jaynes-Cummings System", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1308.2246.pdf"], "doi": []}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "a48d4487659ad4d0ab83c0537f3af0ab2fb4d03f", "title": "Cohort Profile: African Collaborative Center for Microbiome and Genomics Research\u2019s (ACCME's) Human Papillomavirus (HPV) and Cervical Cancer Study", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48d/4487659ad4d0ab83c0537f3af0ab2fb4d03f.pdf"], "doi": []}, {"id": "0fbb184871bd7660bc579178848d58beb8288b7d", "title": "Aggregating local descriptors into a compact image representation", "addresses": [{"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540039"]}, {"id": "3adb0668f10db739371381b94bf47f3ae4076aa4", "title": "Impact of the spatial structuring of virtual towns on the navigation strategies of children aged 6 to 15 years old", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3adb/0668f10db739371381b94bf47f3ae4076aa4.pdf"], "doi": []}, {"id": "3f6160adefb7a96864a6e254f29aa188aa1c1f9d", "title": "Deliberative Discourse in the Town Hall Meeting", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f61/60adefb7a96864a6e254f29aa188aa1c1f9d.pdf"], "doi": []}, {"id": "222ef20afbd6c1a729eac5079e8b027a725c9961", "title": "Empirical modified sequential therapy containing levofloxacin and high-dose esomeprazole in second-line therapy for Helicobacter pylori infection: a multicentre clinical trial.", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/222e/f20afbd6c1a729eac5079e8b027a725c9961.pdf"], "doi": []}, {"id": "6875ae579f2b6ce10cfb0a563ab278e6e7cd21c1", "title": "Dynamic electric and magnetic fields in laser-produced high-energy-density plasmas", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6875/ae579f2b6ce10cfb0a563ab278e6e7cd21c1.pdf"], "doi": []}, {"id": "341066f250e2edd7406376d644380699eb658364", "title": "Observations of electromagnetic fields and plasma flow in hohlraums with proton radiography.", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3148/404490eb3626c15361a6976cab9d81a46660.pdf"], "doi": []}, {"id": "e4fa8c7454f48d3bf047ab7ee1859618c4d6babf", "title": "The Deconstruction and Reconstruction of Tourism Image of an Ancient Town: ---Using the Ancient Town of Songkou as a Case Study", "addresses": [{"name": "Minjiang University", "source_name": "Minjiang University, Fuzhou, People\u2019s Republic of China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232189"]}, {"id": "cc964b35672023a17c33a51a13c769491c581f37", "title": "Coherence Properties and Quantum Control of Silicon Vacancy Color Centers in Diamond", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10321.pdf"], "doi": []}, {"id": "82e82699a51b8939c70115ca2ee7b07fc8cae8de", "title": "Conceptual patterns for student-centered computer science education at secondary school level", "addresses": [{"name": "University of Vienna", "source_name": "University of Vienna", "street_adddress": "Uni Wien, 1, Universit\u00e4tsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, \u00d6sterreich", "lat": "48.21313020", "lng": "16.36068653", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2532776"]}, {"id": "1b89a526477f40dc91a98d9c5ca4d017dce7ec99", "title": "Data centers \u2013 threat or possibility to old industrial sites (brownfields) in Nordic countries", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b89/a526477f40dc91a98d9c5ca4d017dce7ec99.pdf"], "doi": []}, {"id": "9da6a7c8d7073d4300b40db71681b67ac85fdbf7", "title": "Recreating a Vibrant City Center in Response Urban Environments by Using AHP Model ( Case Study : Qazvin City Historical Context in Iran )", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9da6/a7c8d7073d4300b40db71681b67ac85fdbf7.pdf"], "doi": []}, {"id": "4ee6404c324a09aab0cdeb76395f56b3cf383c7f", "title": "Centers of sustainable co-created products by BoP: Development inspired by social entrepreneurs", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4ee6/404c324a09aab0cdeb76395f56b3cf383c7f.pdf"], "doi": []}, {"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "title": "The Pascal Visual Object Classes (VOC) Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, {"id": "2286602a560b0388ca002f7188ab10f2eecbd6d7", "title": "Stone tools from the ancient Tongan state reveal prehistoric interaction centers in the Central Pacific.", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2286/602a560b0388ca002f7188ab10f2eecbd6d7.pdf"], "doi": []}, {"id": "e0ee8a77119cc271f65d56ba5634bc13fa4b5afe", "title": "ENTREPRENEURIALISM MEETS THE SUSTAINABLE CITY: THE CASE OF LEXINGTON\u2019S TOWN BRANCH COMMONS", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ee/8a77119cc271f65d56ba5634bc13fa4b5afe.pdf"], "doi": []}, {"id": "23878dceae9115914879f239c2fd0e180c391c0d", "title": "Narrowing the Gap : Between the African-centered and Postmodernist Interpretations of Pan-Africanism in Contemporary Black-Atlantic Studies", "addresses": [{"name": "Kent State University", "source_name": "Kent State University", "street_adddress": "Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA", "lat": "41.14435250", "lng": "-81.33982833", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2387/8dceae9115914879f239c2fd0e180c391c0d.pdf"], "doi": []}, {"id": "1cdb75e76d247f706cf8ce1f227d3a7536a0a4af", "title": "Proposition of a Geotechnical Mapping Based on Artificial Neural Networks for the Town of Caucaia , Cear\u00e1 , Brazil for Paving Purposes", "addresses": [{"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cdb/75e76d247f706cf8ce1f227d3a7536a0a4af.pdf"], "doi": []}, {"id": "1b1dddff688fe7a19a228784866208d7ccf6b560", "title": "Mending a fractured landscape: balancing culture and nature in the vanishing mill town of Daniels, Maryland", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1b1d/ddff688fe7a19a228784866208d7ccf6b560.pdf"], "doi": []}, {"id": "d737c2a0f9777feb52bfb90a84de6425a20a1bc0", "title": "Place-based education at the River Valley Outdoor Learning Center: Four students' stories", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d737/c2a0f9777feb52bfb90a84de6425a20a1bc0.pdf"], "doi": []}, {"id": "7c3f1879d91be898e1344e1d9c5ad7dd7846b6a6", "title": "Contesting Race in YouTube \u2019 s K-Town : \u201c It \u2019 s white people in Asian disguises \u201d", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7c3f/1879d91be898e1344e1d9c5ad7dd7846b6a6.pdf"], "doi": []}, {"id": "e714e831034f041926d02c5c23bc8d3d55b583bf", "title": "Crime, fear of crime and social order in a post-war British new town : a humanistic contribution to environmental criminology", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/e714/e831034f041926d02c5c23bc8d3d55b583bf.pdf"], "doi": []}]} \ No newline at end of file +{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "dataset": {"key": "oxford_town_centre", "name_short": "TownCentre", "name_display": "TownCentre", "name_full": "Oxford Town Centre", "purpose": "Person detection, gaze estimation", "comment": "\"own video dataset of a busy town centre street\" approximately 53 Cornmarket St Oxford, England", "created_by": "", "funded_by": "EU FP6 Hermes project (FP6 IST-027110) and Oxford Risk ", "funded_by_short": "EU FP6 Hermes project and Oxford Risk ", "used_by": "", "license": "", "url": "http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html", "dl_im": "Y", "dl_meta": "Y", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "", "indoor": "", "outdoor": "Y", "campus": "", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2009", "ongoing": "", "images": "", "videos": "1 ", "tracklets": "", "identities": "2,200 ", "img_per_person": "", "num_cameras": "1", "faces_or_persons": "71500", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "fd, fr, track", "size_gb": "0.147", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "key": "oxford_town_centre", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "pdf": [], "address": {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, "name": "TownCentre", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995667"]}, "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "additional_papers": [], "citations": [{"id": "fc685ef21c4b2db0304b830f6a20e31eb0ec0737", "title": "Visualizing and Analyzing Video Content With Interactive Scalable Maps", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "State Key Laboratory of Computer Science", "source_name": "Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579162", "http://doi.org/10.1109/TMM.2016.2614229"]}, {"id": "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "title": "Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03968.pdf"], "doi": []}, {"id": "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "title": "Learning scene-specific pedestrian detectors without real data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sony", "source_name": "Sony Electronics Inc., San Jose, CA, USA", "street_adddress": "1730 N 1st St, San Jose, CA 95112, USA", "lat": "37.36759050", "lng": "-121.91334910", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015-sup.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015.pdf", "http://www.cs.cmu.edu/~kkitani/pdf/HBKK-CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299006", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299006", "http://doi.org/10.1109/CVPR.2015.7299006"]}, {"id": "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "title": "Improvement in object detection using Super Pixels", "addresses": [{"name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "source_name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "street_adddress": "MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India", "lat": "13.03046190", "lng": "77.56468620", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf"], "doi": []}, {"id": "14effecdf4e99a6ef3bb590582ca07e642d49632", "title": "Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3290/55356252ec95df17699487632b7607572ad6.pdf"], "doi": []}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "e23b3779547682b3e1f5a9108ed1afddc97af679", "title": "Silhouette labeling and tracking in calibrated omnidirectional video sequences", "addresses": [{"name": "University of Piraeus", "source_name": "University of Piraeus", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, 80, \u039a\u03b1\u03c1\u03b1\u03bf\u03bb\u03ae \u03ba\u03b1\u03b9 \u0394\u03b7\u03bc\u03b7\u03c4\u03c1\u03af\u03bf\u03c5, \u0391\u03c0\u03cc\u03bb\u03bb\u03c9\u03bd\u03b1\u03c2, \u039d\u03ad\u03bf \u03a6\u03ac\u03bb\u03b7\u03c1\u03bf, \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ac\u03c2, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03a0\u03b5\u03b9\u03c1\u03b1\u03b9\u03ce\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 185 34, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.94173275", "lng": "23.65303262", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910726"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52", "title": "Continuous tracking in Free Space Optical balloon mesh networks", "addresses": [{"name": "University of Arkansas at Little Rock", "source_name": "University of Arkansas at Little Rock", "street_adddress": "University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA", "lat": "34.72236805", "lng": "-92.33830255", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550317"]}, {"id": "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "title": "A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf"], "doi": []}, {"id": "da9d71087025ca20fe0259b9aabf803e9d556160", "title": "Motion priors based on goals hierarchies in pedestrian tracking applications", "addresses": [{"name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas, Guanajuato, Mexico", "source_name": "Centro de Investigaci\u00f3n en Matem\u00e1ticas (CIMAT A.C.), Guanajuato, Mexico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0832-8"]}, {"id": "448284cba619e3d0cdf4c0023db91ec3fdcaa349", "title": "Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714396", "http://doi.org/10.1109/LSP.2014.2300497"]}, {"id": "6ff6f356244a647ff2a6d9dc27343d3e22840571", "title": "Branch and bound global optima search for tracking a single object in a network of non-overlapping cameras", "addresses": [{"name": "AIT Austrian Institute of Technology, Vienna, Austria", "source_name": "AIT Austrian Institute of Technology, Vienna, Austria", "street_adddress": "Giefinggasse 2, 1210 Wien, Austria", "lat": "48.26830140", "lng": "16.42724830", "type": "edu", "country": "Austria"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Branislav_Micusik/publication/221430103_Branch_and_bound_global_optima_search_for_tracking_a_single_object_in_a_network_of_non-overlapping_cameras/links/0046353b4f60673258000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130470", "http://doi.org/10.1109/ICCVW.2011.6130470"]}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "6947ecf688956184bd7371b3689fb9494139320c", "title": "PETS 2015: Datasets and challenge", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46540/1/2015_AVSS_PETS2015Datasets_Li_Nawaz_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301741", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301741", "http://doi.org/10.1109/AVSS.2015.7301741"]}, {"id": "3e03435792619833d4e2aa14344761b003c10c67", "title": "A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker", "addresses": [{"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3e03/435792619833d4e2aa14344761b003c10c67.pdf"], "doi": []}, {"id": "290eda31bc13cbd5933acec8b6a25b3e3761c788", "title": "Multiple object tracking with context awareness", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7935.pdf"], "doi": []}, {"id": "4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7", "title": "Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos", "addresses": [{"name": "National Chung Hsing University", "source_name": "National Chung Hsing University", "street_adddress": "\u570b\u7acb\u4e2d\u8208\u5927\u5b78, 145, \u8208\u5927\u8def, \u7a4d\u5584\u91cc, \u9802\u6a4b\u5b50\u982d, \u5357\u5340, \u81fa\u4e2d\u5e02, 402, \u81fa\u7063", "lat": "24.12084345", "lng": "120.67571165", "type": "edu", "country": "Taiwan"}, {"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744579", "http://doi.org/10.1109/TCSVT.2016.2629340"]}, {"id": "1f527b5406356018e6dc401a4be8098a5a451891", "title": "Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Jacobs University", "source_name": "Jacobs University", "street_adddress": "Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK", "lat": "53.41291480", "lng": "-2.96897915", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f52/7b5406356018e6dc401a4be8098a5a451891.pdf"], "doi": []}, {"id": "057517452369751bd63d83902ea91558d58161da", "title": "Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382753", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.31", "http://doi.org/10.1109/SIBGRAPI.2012.31"]}, {"id": "5d58d4164493924906231a28153e50342fdf1198", "title": "Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1402.2016.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "6aaa77e241fe55ae0c4ad281e27886ea778f9e23", "title": "F-Formation Detection: Individuating Free-Standing Conversational Groups in Images", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.2702.pdf"], "doi": []}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "title": "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02000.pdf"], "doi": []}, {"id": "e57ce6244ec696ff9aa42d6af7f09eed176153a8", "title": "Instantaneous real-time head pose at a distance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351449", "http://doi.org/10.1109/ICIP.2015.7351449"]}, {"id": "d67d9abc9c9f9e84ab3647d21db70ca98117f709", "title": "Moving people tracking with detection by latent semantic analysis for visual surveillance applications", "addresses": [{"name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "source_name": "Indian Institute of Information Technology and Management, Madhya Pradesh, India", "street_adddress": "Morena Link Rd, IIITM Campus, Gwalior, Madhya Pradesh 474015, India", "lat": "26.24945320", "lng": "78.17398330", "type": "edu", "country": "India"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-012-1110-4"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "title": "Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf"], "doi": []}, {"id": "b4288f34528fbda2d2781454aadccae0d578d59a", "title": "Bayesian 3D Tracking from Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://kobus.ca/research/publications/13/Brau-ICCV-13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Brau_Bayesian_3D_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751530", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.418", "http://doi.org/10.1109/ICCV.2013.418"]}, {"id": "83d956ed39127058e02395924f96b68e2f8289e0", "title": "Efficient video multicast in wireless surveillance networks for intelligent building", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.cs.cityu.edu.hk/news/seminars/sem2015-2016_no38.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7475084"]}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "title": "Forecasting Interactive Dynamics of Pedestrians with Fictitious Play", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01431.pdf"], "doi": []}, {"id": "495fa8f7d9d0e4d472c49de34a9d17343668f4a4", "title": "Automatic Event Detection for Signal-based Surveillance", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01611.pdf"], "doi": []}, {"id": "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "title": "MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.09100.pdf"], "doi": []}, {"id": "626c71140a93afbb2234642f2634ebf635949263", "title": "Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Brazil", "street_adddress": "Ilha do Fund\u00e3o, S/N - Cidade Universit\u00e1ria, Rio de Janeiro - RJ, 21945-970, Brazil", "lat": "-22.86176210", "lng": "-43.22838750", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885730"]}, {"id": "ba004e5789bdc565734727ce22820dca77d6407c", "title": "Video target tracking based on fusion state estimation", "addresses": [{"name": "The University of Auckland", "source_name": "Embedded Systems Research Group, The University of Auckland, Auckland, New Zealand", "street_adddress": "UniServices House, Level, 6/70 Symonds St, Grafton, Auckland 1010, New Zealand", "lat": "-36.85604780", "lng": "174.76640670", "type": "edu", "country": "New Zealand"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936530"]}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "addresses": [{"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "ed432ecd59021a96d8995269a34678c4c2774507", "title": "End-to-end Learning of Multi-sensor 3D Tracking by Detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11534.pdf"], "doi": []}, {"id": "2b9410889dc6870cc6e0476dbc681049b28ccacb", "title": "Learning to Detect Carried Objects with Minimal Supervision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf", "http://www.cs.umd.edu/~rdondera/cod.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Dondera_Learning_to_Detect_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~morariu/publications/DonderaCarriedObjectSISM13.pdf", "https://drum.lib.umd.edu/bitstream/handle/1903/13339/CS-TR-5018.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595958", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.114", "http://doi.org/10.1109/CVPRW.2013.114"]}, {"id": "bf5214de5a1460e01eccffb74c60a57b43cf099e", "title": "Supporting animal welfare with automatic tracking of giraffes with thermal cameras", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3156142"]}, {"id": "c11f05de35310725d83a4ac9a393f06168acc967", "title": "Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration", "addresses": [{"name": "Glasgow Caledonian University", "source_name": "Glasgow Caledonian University, Glasgow, United Kingdom", "street_adddress": "Cowcaddens Rd, Glasgow G4 0BA, UK", "lat": "55.86681830", "lng": "-4.24996020", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://researchonline.gcu.ac.uk/portal/files/24542977/IEEETransCybernetics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7778232", "http://doi.org/10.1109/TCYB.2016.2631660", "https://www.ncbi.nlm.nih.gov/pubmed/27959835", "https://www.wikidata.org/entity/Q48584156"]}, {"id": "e1678add566a002e1fe5536d8607888549e36ff8", "title": "Object detection and tracking in night time video surveillance", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677410", "http://doi.org/10.1109/URAI.2013.6677410"]}, {"id": "4e82908e6482d973c280deb79c254631a60f1631", "title": "Improving Efficiency and Scalability in Visual Surveillance Applications", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf"], "doi": []}, {"id": "137239cd29634465f35ce261718efece57cfc617", "title": "Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1372/39cd29634465f35ce261718efece57cfc617.pdf"], "doi": []}, {"id": "4d6043a25bf48c6fd6aff6a46597fe1902a9c6a7", "title": "Long-term tracking of multiple interacting pedestrians using a single camera by Advice", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4d60/43a25bf48c6fd6aff6a46597fe1902a9c6a7.pdf"], "doi": []}, {"id": "1627a0c46c29e020268f9225c9042bd6cedd83b5", "title": "Multiple human detection and tracking based on head detection for real-time video surveillance", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-014-2177-x"]}, {"id": "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "title": "Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf"], "doi": []}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "50137d663802224e683951c48970496b38b02141", "title": "DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5013/7d663802224e683951c48970496b38b02141.pdf"], "doi": []}, {"id": "b02581323ad03125e9b18d74ba0c1909d6485dda", "title": "Contextual anomaly detection in crowded surveillance scenes", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441/Context_Aware_Anomaly_Detection_3rdRevision.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2013.11.018", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441"]}, {"id": "4643a480f115d5ae96259f204b6712c1e769a699", "title": "Real-Time People Tracking in a Camera Network", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507659"]}, {"id": "508ce149508610edd93a17561a460f2199c8609e", "title": "Tracking performance evaluation on PETS 2015 Challenge datasets", "addresses": [{"name": "University of Reading", "source_name": "University of Reading, Reading, United Kingdom, RG6 6AY", "street_adddress": "Reading, UK", "lat": "51.44142050", "lng": "-0.94181570", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://centaur.reading.ac.uk/46541/1/2015_AVSS_PETS2015TrackingChallenge_Nawaz_Boyle_Li_Ferryman.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301743", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301743", "http://doi.org/10.1109/AVSS.2015.7301743"]}, {"id": "61a768171bcaf5d0b5359af551d9732015bc4036", "title": "Getting through: modality selection in a multi-sensor-actuator industrial IoT environment", "addresses": [{"name": "Johannes Kepler University, Linz, Austria", "source_name": "JKU, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3131561"]}, {"id": "920246280e7e70900762ddfa7c41a79ec4517350", "title": "(MP) 2 T: multiple people multiple parts tracker", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf", "http://homes.cs.washington.edu/~izadinia/files/MPMPT-ECCV12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_8"]}, {"id": "7202235dd82965b4bf18216040e40433f96274cf", "title": "Interacting Tracklets for Multi-Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8370670", "http://doi.org/10.1109/TIP.2018.2843129", "https://www.ncbi.nlm.nih.gov/pubmed/29993548"]}, {"id": "d8bb184afa8e68c569592471d83fdcd9120fe5c6", "title": "Double layer salient parts based multi-people tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351367", "http://doi.org/10.1109/ICIP.2015.7351367"]}, {"id": "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "title": "Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07544.pdf"], "doi": []}, {"id": "72dc0c1e033be838582ef8da6ae3d51b6375cebb", "title": "Multiple human tracking system for unpredictable trajectories", "addresses": [{"name": "University of A Coru\u00f1a", "source_name": "VARPA Group, University of A Coru\u00f1a, A Coru\u00f1a, Spain", "street_adddress": "A Coru\u00f1a, Spain", "lat": "43.36234360", "lng": "-8.41154010", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://www.researchgate.net/profile/Brais_Cancela/publication/260524496_Multiple_human_tracking_system_for_unpredictable_trajectories/links/53d667650cf220632f3d9f50.pdf"], "doi": ["http://doi.org/10.1007/s00138-013-0544-7"]}, {"id": "dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5", "title": "Human detection and tracking over camera networks: A review", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846643"]}, {"id": "823db29d4c2a79e309ad2b394a4aaa83d9e15284", "title": "Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/823d/b29d4c2a79e309ad2b394a4aaa83d9e15284.pdf"], "doi": []}, {"id": "c858c74d30c02be2d992f82a821b925669bfca13", "title": "Computer Vision \u2013 ECCV 2014", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "source_name": "KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-10605-2", "https://doi.org/10.1007/978-3-319-10605-2"]}, {"id": "0348ff27225e45578c39f000e86bd96aef060c97", "title": "A multistage filtering for detecting group in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846671"]}, {"id": "2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7", "title": "Fast Support Vector Classifier for automated content-based search in video surveillance", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": ["http://alpha.imag.pub.ro/~imironica/publications/CMitrea_ISSCS_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7203953"]}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0", "title": "Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01147-z"]}, {"id": "85136f57350f29ff299dd13b28885666ae305e57", "title": "Improving object visual tracking performance by scene occluder estimation for video surveillance", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832117"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "084352b63e98d3b3310521fb3bda8cb4a77a0254", "title": "Part-based multiple-person tracking with partial occlusion handling", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Nevada", "source_name": "University of Nevada", "street_adddress": "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "lat": "39.54694490", "lng": "-119.81346566", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/papers/1439.pdf", "http://vision.eecs.ucf.edu/papers/cvpr2012/1439.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247879", "http://doi.org/10.1109/CVPR.2012.6247879"]}, {"id": "30492d91c8ac2e476a25bf7ddf445be00b3d2fe3", "title": "CrowdProbe: Non-invasive Crowd Monitoring with Wi-Fi Probe", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264925"]}, {"id": "961561a96e82d1fb596f030cc1d4aace1bd85a32", "title": "Tracklet Reidentification in Crowded Scenes Using Bag of Spatio-temporal Histograms of Oriented Gradients", "addresses": [{"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://rd.springer.com/content/pdf/10.1007/978-3-642-38989-4_10.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-38989-4_10"]}, {"id": "b787113305ddef424def20920b8b098c7f18bd98", "title": "Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b787/113305ddef424def20920b8b098c7f18bd98.pdf"], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "5b36d1d7279d0db75f52f4934b123a3757bf8092", "title": "Real-time moving objects tracking for mobile-robots using motion information", "addresses": [{"name": "University of Paderborn", "source_name": "GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany", "street_adddress": "L\u00fcthenweg 35, 33106 Paderborn, Germany", "lat": "51.68792000", "lng": "8.68585000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7017674", "http://doi.org/10.1109/SSRR.2014.7017674"]}, {"id": "e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890", "title": "Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7893777", "http://doi.org/10.1109/TPAMI.2017.2691769", "https://www.ncbi.nlm.nih.gov/pubmed/28410099", "https://www.wikidata.org/entity/Q36347023"]}, {"id": "3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612", "title": "Translation-Based KLT Tracker Under Severe Camera Rotation Using GPS/INS Data", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477082", "http://doi.org/10.1109/LGRS.2013.2245858"]}, {"id": "9355b789dac162ad50c31cdf5d9a196cdc09828e", "title": "Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network", "addresses": [{"name": "University of California Riverside", "source_name": "Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA", "street_adddress": "900 University Ave, Riverside, CA 92521, USA", "lat": "33.97370550", "lng": "-117.32806440", "type": "edu", "country": "United States"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://escholarship.org/content/qt9w2556kz/qt9w2556kz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467456", "http://doi.org/10.1109/TCSVT.2016.2565998"]}, {"id": "4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10", "title": "TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0852-4"]}, {"id": "43fe6e4c3163435fd829d3c1c41ba17de4e13559", "title": "ReGLe: Spatially Regularized Graph Learning for Visual Tracking", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123288"]}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "d9bda208addf00a55df23821f6d4abdb85e73599", "title": "Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d9bd/a208addf00a55df23821f6d4abdb85e73599.pdf"], "doi": []}, {"id": "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "title": "Solving Multiple People Tracking in a Minimum Cost Arborescence", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046817", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.7", "http://doi.org/10.1109/WACVW.2015.7"]}, {"id": "70be5432677c0fbe000ac0c28dda351a950e0536", "title": "Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910023", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.75", "http://doi.org/10.1109/CVPRW.2014.75"]}, {"id": "57c5501d9937fa43291dbd3f95288aded8b2dca1", "title": "Groups Re-identification with Temporal Context", "addresses": [{"name": "INRIA, Sophia Antipolis, France", "source_name": "INRIA, Sophia Antipolis, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078978"]}, {"id": "13a3952eea0445fc4a1825be10acbd3a189355e3", "title": "Coarse-to-fine approach for fast correlation-based visual tracking", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792989", "http://doi.org/10.1109/IECON.2016.7792989"]}, {"id": "a936a60766cbccb27217c3ccfedaa16d4c7b517b", "title": "Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night", "addresses": [{"name": "Keimyung University", "source_name": "Keimyung University, Daegu, Korea", "street_adddress": "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "lat": "35.85505250", "lng": "128.48712690", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539557", "http://doi.org/10.1109/TITS.2016.2569159"]}, {"id": "6bda2c2ab87ce2fda3b2f7e87643835f921551a0", "title": "Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7364242", "http://doi.org/10.1109/TCSVT.2015.2511812"]}, {"id": "679136c2844eeddca34e98e483aca1ff6ef5e902", "title": "Scene-Specific Pedestrian Detection Based on Parallel Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08745.pdf"], "doi": []}, {"id": "4624cbd2395e46159127e285ceaf45b9ab903e17", "title": "A Novel Fuzzy Data Association Approach for Visual Multi-object Tracking", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05004.pdf"], "doi": ["https://doi.org/10.1051/itmconf%2F20171205004"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "addresses": [{"name": "NICTA, Canberra", "source_name": "NICTA, Canberra", "street_adddress": "Canberra ACT 2601, Australia", "lat": "-35.28093680", "lng": "149.13000920", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "3c307cddf2bf84b4abcc96a362fe385c2d891c9b", "title": "A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810052"]}, {"id": "8cc56d82787069ca91ac6bb8133e15da6dfe564c", "title": "Multiple person tracking based on slow feature analysis", "addresses": [{"name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "source_name": "Tianjin Bohai Fisheries Research Institute, Tianjin, China", "street_adddress": "Tianjin, China", "lat": "39.34335740", "lng": "117.36164760", "type": "edu", "country": "China"}, {"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5218-4"]}, {"id": "6624a89894990a9f5edb06feb9e4d5ce6147459f", "title": "Kriging-based prediction and interpolation for modeling pedestrian dynamics", "addresses": [{"name": "Chiba University", "source_name": "Institute of Management and Information Technologies, Chiba University, Chiba, Japan", "street_adddress": "Japan, \u3012263-8522 Chiba Prefecture, \u5343\u8449\u5e02\u7a32\u6bdb\u533a\u5f25\u751f\u753a\uff11\u2212\uff13\uff13", "lat": "35.62773740", "lng": "140.10336820", "type": "edu", "country": "Japan"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8023264", "http://doi.org/10.1109/IFSA-SCIS.2017.8023264"]}, {"id": "422d352a7d26fef692a3cd24466bfb5b4526efea", "title": "Pedestrian interaction in tracking : the social force model and global optimization methods", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf"], "doi": []}, {"id": "fa62bb5355ee5447ec651f56b9e06645eb2f56f0", "title": "Co-design system for template matching using dedicated co-processor and modified elephant herding optimization", "addresses": [{"name": "State University of Rio de Janeiro", "source_name": "State University of Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8399903", "http://doi.org/10.1109/LASCAS.2018.8399903"]}, {"id": "3196d8797d600c98d49ea76ccc5dadd5a96e407a", "title": "Collaboration and spatialization for an efficient multi-person tracking via sparse representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301757"]}, {"id": "5a2578a7acea823d3c8ab30b1658a44cc1f63078", "title": "Online multi-person tracking based on global sparse collaborative representations", "addresses": [{"name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier, France", "source_name": "CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France", "street_adddress": "Gif-sur-Yvette, France", "lat": "48.70184400", "lng": "2.13407800", "type": "edu", "country": "France"}, {"name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "source_name": "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "street_adddress": "7 Avenue du Colonel Roche, 31400 Toulouse, France", "lat": "43.56334270", "lng": "1.47686950", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351235", "http://doi.org/10.1109/ICIP.2015.7351235"]}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f", "title": "Multi-target Tracking by Rank-1 Tensor Approximation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c387.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Multi-target_Tracking_by_2013_CVPR_paper.pdf", "http://www.dabi.temple.edu/~hbling/publication/tensor-mda-7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619153", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.309", "http://doi.org/10.1109/CVPR.2013.309"]}, {"id": "0382a1301094c6ba60b18ffa8d12da6ca0863339", "title": "Online Learned Discriminative Part-Based Appearance Models for Multi-human Tracking", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0382/a1301094c6ba60b18ffa8d12da6ca0863339.pdf"], "doi": []}, {"id": "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "title": "Online Multi-person Tracking by Tracker Hierarchy", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "http://www.cs.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328007", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.51", "http://doi.org/10.1109/AVSS.2012.51"]}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "de0c4459c46c5efbad02cd9a1f4687a12883c5d7", "title": "Asmar Hasanova Pedestrian Detection and Tracking in Urban Context Using a Mono-Camera", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/de0c/4459c46c5efbad02cd9a1f4687a12883c5d7.pdf"], "doi": []}, {"id": "218982f0878a3de667fac2bb18b9f50949aefc1c", "title": "Multi-pose multi-target tracking for activity understanding", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~izadinia/files/PID2616061.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6475044", "http://doi.ieeecomputersociety.org/10.1109/WACV.2013.6475044", "http://doi.org/10.1109/WACV.2013.6475044"]}, {"id": "bbb44958216281607c282427f3001f7bc36e2385", "title": "Motion instability based unsupervised online abnormal behaviors detection", "addresses": [{"name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "source_name": "Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "gov", "country": "China"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2664-8"]}, {"id": "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "title": "Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037515.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.216", "http://doi.org/10.1109/CVPR.2013.216"]}, {"id": "586c989e12d19a48eb7084a3e07e9149c9fa7092", "title": "Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517399", "http://doi.org/10.1109/TCSVT.2016.2593619"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "b1bccc71e48ec4a114cef69a492b2e5b3d1f123b", "title": "Visual 3D tracking of child-adult social interactions", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "source_name": "Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY", "street_adddress": "21 Bloomingdale Rd, White Plains, NY 10605, USA", "lat": "41.02473090", "lng": "-73.75380000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329835", "http://doi.org/10.1109/DEVLRN.2017.8329835"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "7c132e0a2b7e13c78784287af38ad74378da31e5", "title": "Salient Parts based Multi-people Tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf"], "doi": []}, {"id": "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "title": "Training a convolutional neural network for multi-class object detection using solely virtual world data", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738056", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056", "http://doi.org/10.1109/AVSS.2016.7738056"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc", "title": "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking", "addresses": [{"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02143.pdf"], "doi": []}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "title": "Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.05234.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b", "title": "Assessing tracking assessment measures", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://fabio-poiesi.com/files/presentations/poster_icip_2014.pdf", "http://www.eecs.qmul.ac.uk/~andrea/papers/2014_ICIP_MeasuresAssessment_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025088", "http://doi.org/10.1109/ICIP.2014.7025088"]}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "dba7757ea7a390ec0509834a5f457c6f28ae6b76", "title": "A general line tracking algorithm based on computer vision", "addresses": [{"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7531957"]}, {"id": "9883759eb90c2aff373b48d31d3e5700b3bd256a", "title": "Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9883/759eb90c2aff373b48d31d3e5700b3bd256a.pdf"], "doi": []}, {"id": "4f182750ff26f68d284a416b2fcfc5c53c8e9c24", "title": "Robust online multi-object tracking based on KCF trackers and reassignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7905816", "http://doi.org/10.1109/GlobalSIP.2016.7905816"]}, {"id": "1874db58583e6e5aeb98f2329d9e1ba44b8f6022", "title": "OPTIMUS:online persistent tracking and identification of many users for smart spaces", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-014-0607-4"]}, {"id": "d7f11ebb73bfe74a57c33f7e75f7981ad9385580", "title": "Real-Time Resource Allocation for Tracking Systems", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4143/440cfded29a9747e42ac1c9ffe926e3164fa.pdf"], "doi": []}, {"id": "975c04f3193615ea7559cca019176e56ce60d052", "title": "Object Detection utilizing Modified Auto Encoder and Convolutional Neural Networks", "addresses": [{"name": "University of Tabriz", "source_name": "University of Tabriz", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u062a\u0628\u0631\u06cc\u0632, \u0634\u0647\u06cc\u062f \u0627\u06cc\u0631\u062c \u062e\u0644\u0648\u062a\u06cc, \u06a9\u0648\u06cc \u0627\u0646\u0642\u0644\u0627\u0628, \u062a\u0628\u0631\u06cc\u0632, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0628\u0631\u06cc\u0632, \u0627\u0633\u062a\u0627\u0646 \u0622\u0630\u0631\u0628\u0627\u06cc\u062c\u0627\u0646 \u0634\u0631\u0642\u06cc, 5166616471, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "38.06125530", "lng": "46.32984840", "type": "edu", "country": "Iran"}, {"name": "University of Isfahan", "source_name": "Faculty of Computer Engineering, University of Isfahan, Iran", "street_adddress": "Khomeyni Shahr, Isfahan Province, Iran", "lat": "32.71773310", "lng": "51.52587900", "type": "edu", "country": "Iran"}, {"name": "Universiti Putra Malaysia", "source_name": "Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia", "street_adddress": "Faculty of Computer Science and Information Technology, University Putra Malaysia, Persiaran Universiti 1, Selangor, 43400 Serdang, Malaysia", "lat": "2.99962350", "lng": "101.71034070", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563423"]}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "addresses": [{"name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "source_name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "1883387726897d94b663cc4de4df88e5c31df285", "title": "Measures of Effective Video Tracking", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655935", "http://doi.org/10.1109/TIP.2013.2288578", "https://www.ncbi.nlm.nih.gov/pubmed/24235302", "https://www.wikidata.org/entity/Q48704231"]}, {"id": "846652200134bd02c65c502a4e587a11592479a4", "title": "Survey on Vision-based Path Prediction", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00233.pdf"], "doi": []}, {"id": "9cd7487e0eed11dabc94dd867178204c53eb2270", "title": "Self-Organizing Traffic Lights : A Pedestrian Oriented Approach", "addresses": [{"name": "Federal University of Minas Gerais", "source_name": "Federal University of Minas Gerais, Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9cd7/487e0eed11dabc94dd867178204c53eb2270.pdf"], "doi": []}, {"id": "cc76729795069f24d66e8c29f1e08b50f8980a53", "title": "Co-design system for template matching using dedicated co-processor and particle swarm optimization", "addresses": [{"name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "source_name": "Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil", "street_adddress": "Rio de Janeiro, State of Rio de Janeiro, Brazil", "lat": "-22.90684670", "lng": "-43.17289650", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia Eletr\u00f4nica e Telecomunica\u00e7\u00f5es, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}, {"name": "Departamento de Engenharia de Sistemas e Computa\u00e7\u00e3o, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "source_name": "Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil", "street_adddress": "1\u00ba andar, Bloco A - R. S\u00e3o Francisco Xavier, 524 - sala 1006 - Maracan\u00e3, Rio de Janeiro - RJ, 20550-900, Brazil", "lat": "-22.91014840", "lng": "-43.23561170", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7948053", "http://doi.org/10.1109/LASCAS.2017.7948053"]}, {"id": "06abf34ed52cefe1181451700346f870c2adb0b5", "title": "Object tracking by supported particles", "addresses": [{"name": "Chonnam National University University", "source_name": "Chonnam National University University, Gwangju, Korea, Gwangju, Korea", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7057484", "http://doi.org/10.1109/URAI.2014.7057484"]}, {"id": "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "title": "User interest profiling using tracking-free coarse gaze estimation", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze, Firenze", "source_name": "Università degli Studi di Firenze, Firenze", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf", "https://www.micc.unifi.it/wp-content/uploads/2016/12/ICPR_2016_GAZE.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899904", "http://doi.org/10.1109/ICPR.2016.7899904"]}, {"id": "0f8b4a64eea40c1f0aa655d4e77e46543ff558b7", "title": "Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://astro.temple.edu/~tuc33610/Public/Publications/CVPR2014/Curvilinear_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_Curvilinear_Structure_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909787", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.391", "http://doi.org/10.1109/CVPR.2014.391"]}, {"id": "4a44381f7c639451a797b2d3016b1d4cb54736dc", "title": "Pedestrian Travel Time Estimation in Crowded Scenes", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yi_Pedestrian_Travel_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410716", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.359", "http://doi.org/10.1109/ICCV.2015.359"]}, {"id": "608305c25aae19dd346153dadedac851f0b7f9ff", "title": "A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/6083/05c25aae19dd346153dadedac851f0b7f9ff.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "4d38a43865e0bcc87dc6ad83331539429e00543c", "title": "Road lane reconstruction using vision \u2014 based macro block spatial predictions", "addresses": [{"name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "source_name": "Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines", "street_adddress": "Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56550430", "lng": "120.99323340", "type": "edu", "country": "Philippines"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227968", "http://doi.org/10.1109/tencon.2017.8227968"]}, {"id": "6986658717d6430be30acea59a1296125062d5a4", "title": "Cross-camera multi-person tracking by leveraging fast graph mining algorithm", "addresses": [{"name": "Information & Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "source_name": "Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China", "street_adddress": "China, Zhejiang, Hangzhou, Xihu, Wen'er Rd, 328\u53f7\u5bcc\u4e3d\u79d1\u6280\u5927\u53a6A\u5ea71468", "lat": "30.28271810", "lng": "120.12457080", "type": "company", "country": "China"}, {"name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "source_name": "Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China", "street_adddress": "Xiamen, Fujian, China", "lat": "24.47983300", "lng": "118.08942500", "type": "company", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5403-5"]}, {"id": "ec87dc43a549dc35dec244e514ea2c3a4109ffe2", "title": "Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508877", "http://doi.org/10.1109/TIP.2016.2590322", "https://www.ncbi.nlm.nih.gov/pubmed/27416595", "https://www.wikidata.org/entity/Q38841937"]}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "addresses": [{"name": "Changzhou University", "source_name": "Changzhou University, Changzhou, China", "street_adddress": "1 Gehu Middle Rd, Wujin Qu, Changzhou Shi, Jiangsu Sheng, China", "lat": "31.68423700", "lng": "119.95514100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263222", "http://doi.org/10.1109/ACCESS.2018.2795020"]}, {"id": "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "title": "Exploiting pedestrian interaction via global optimization and social behaviors", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf", "http://www.tnt.uni-hannover.de/papers/data/924/LeaPonRos11SocialLP.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/134/LeaPonRos11SocialLP.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-34091-8_1"]}, {"id": "03ce07616628ac7c7dac92ea714313b674217811", "title": "Deep Learning of Scene-Specific Classifier for Pedestrian Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910472.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zengOWeccv14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10578-9_31"]}, {"id": "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "title": "A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter", "addresses": [{"name": "Ben-Gurion University", "source_name": "Ben-Gurion University, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Orbotech Ltd., Yavne, Israel", "source_name": "Orbotech Ltd., Yavne, Israel", "street_adddress": "HaSanhedrin Blvd 1, Yavne, Israel", "lat": "31.88787670", "lng": "34.73598850", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf", "https://www.cs.bgu.ac.il/~ben-shahar/Publications/2016-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker.pdf", "https://www.cs.bgu.ac.il/~rba/R_Ben-Ari_JRTIP2013.pdf"], "doi": ["http://doi.org/10.1007/s11554-013-0329-2"]}, {"id": "9070045c1a9564a5f25b42f3facc7edf4c302483", "title": "Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf", "http://vision.eecs.ucf.edu/ICCVWorkshop/papers/MSVLC2011_Paper2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130233", "http://doi.org/10.1109/ICCVW.2011.6130233"]}, {"id": "1110f86433302fd6c4cc92e2ac1ddf80b917b25c", "title": "An approach to monitor river catchment with PAL SAR satellite data", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036639"]}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"], "doi": []}, {"id": "076fd6fd85b93858155a1c775f1897f83d52b4c2", "title": "Improving an Object Detector and Extracting Regions Using Superpixels", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d721.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619321", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.477", "http://doi.org/10.1109/CVPR.2013.477"]}, {"id": "60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad", "title": "People-flow counting in complex environments by combining depth and color information", "addresses": [{"name": "Chongqing University of Posts and Telecommunications", "source_name": "Chongqing University of Posts and Telecommunications", "street_adddress": "\u91cd\u5e86\u90ae\u7535\u5927\u5b66, \u5d07\u6587\u8def, \u6e1d\u4e2d\u533a, \u9ec4\u6877\u57ad, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400065, \u4e2d\u56fd", "lat": "29.53570460", "lng": "106.60482474", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3344-z"]}, {"id": "7996a71a86693a721e45ff9482d286a310ada3ad", "title": "Multi-PN-learning for tracking applications", "addresses": [{"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064407", "http://doi.org/10.1109/ICARCV.2014.7064407"]}, {"id": "6cfa1ecd9b534c08cb4556f5d45fc9843c6d9425", "title": "Multiple Objects Detection using HSV", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8556711"]}, {"id": "8f3786e2064a103472ec227a03759bb5056aaffc", "title": "Multiple object tracking based on modified algorithm of GMMCP tracker", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888214"]}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "f3d0d2f66ab04d9b8d6a590b339cd692b22174df", "title": "Tracking in multimedia data via robust reweighted local multi-task sparse representation for transportation surveillance", "addresses": [{"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3464-5"]}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae", "title": "Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "University of Sousse", "source_name": "UR: SAGE-ENISo, University of Sousse, Tunisia", "street_adddress": "P\u00f4le technologique de Sousse, Route de Ceinture Sahloul\u060c 4054, Tunisia", "lat": "35.82039000", "lng": "10.59309030", "type": "edu", "country": "Tunisia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2974040"]}, {"id": "3434ba5677e5c98e82ee17a1f2d0ddef66d0b009", "title": "Interactive tracking and action retrieval to support human behavior analysis", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3434/ba5677e5c98e82ee17a1f2d0ddef66d0b009.pdf"], "doi": []}, {"id": "2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363", "title": "To Track or To Detect? An Ensemble Framework for Optimal Selection", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2da0/f99ae90ea3e6ccbd3f43e52dbf5aa1553363.pdf"], "doi": []}, {"id": "1167136efcb52cf49e89b90949149312bab19cc3", "title": "Multi-camera Pedestrian Tracking using Group Structure", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659023"]}, {"id": "6ec8bb9c7aaec908b76dad89529c5ded7cab8e83", "title": "Continuous Energy Minimization for Multitarget Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Technische Universit\u00e4t Darmstadt", "source_name": "Technische Universit\u00e4t Darmstadt, Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://research.milanton.de/files/pami2014/pami2014-anton.pdf", "http://www.gris.informatik.tu-darmstadt.de/~sroth/papers/2014/milan-pami-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6520846", "http://doi.org/10.1109/TPAMI.2013.103", "https://www.ncbi.nlm.nih.gov/pubmed/24231866", "https://www.wikidata.org/entity/Q48704299"]}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb", "title": "Calibration of multi-camera systems", "addresses": [{"name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "source_name": "Centro de Investigaci\u00f3n en Inform\u00e1tica para la Ingenier\u00eda (CIII) Universidad Tecnol\u00f3gica Nacional, Facultad Regional C\u00f3rdoba, Maestro Lopez esq. Cruz Roja Argentina, C\u00f3rdoba Argentina", "street_adddress": "Maestro M. Lopez esq. Cruz Roja, C\u00f3rdoba, Argentina", "lat": "-31.44225000", "lng": "-64.19316580", "type": "edu", "country": "Argentina"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7497094"]}, {"id": "bd75a21797c8fbed8e9a8f293163e4d4c94149fc", "title": "Online multi-object tracking based on hierarchical association and sparse representation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296362", "http://doi.org/10.1109/ICIP.2017.8296362"]}, {"id": "2feb7c57d51df998aafa6f3017662263a91625b4", "title": "Feature Selection for Intelligent Transportation Systems", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "29acb73f1aec78996d77eede7a7b72e892be9a84", "title": "Multitarget Tracking Using Hough Forest Random Field", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295597", "http://doi.org/10.1109/TCSVT.2015.2489438"]}, {"id": "71d4924367ba5d31d87bf1ac724db3f285b345c1", "title": "Recovering background regions in videos of cluttered urban scenes", "addresses": [{"name": "Thales UK, Glasgow", "source_name": "Thales UK, Glasgow", "street_adddress": "1 Linthouse Rd, Glasgow G51 4BZ, UK", "lat": "55.86648580", "lng": "-4.33582740", "type": "company", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351576", "http://doi.org/10.1109/ICIP.2015.7351576"]}, {"id": "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "title": "Multiple-Person Tracking by Detection", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf"], "doi": []}, {"id": "b8af24279c58a718091817236f878c805a7843e1", "title": "Context Aware Anomalous Behaviour Detection in Crowded Surveillance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf"], "doi": []}, {"id": "d29895fca6ae688514850856208c2b88f01ea3e0", "title": "Multi-Target Video Tracking Based on Improved Data Association and Mixed Kalman/ $H_{\\infty }$ Filtering", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7555348"]}, {"id": "e5bc872565ef74c3929a4bfb2f785570d546e983", "title": "Video Compression for Object Detection Algorithms", "addresses": [{"name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "source_name": "Media Integration and Communication Center, Universit\u00e0 degli Studi di Firenze, Firenze, 50134, Italy", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546064"]}, {"id": "ad467baa4f59d18ed998757bcba3df3c2a753df8", "title": "Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1402.2826.pdf"], "doi": []}, {"id": "86e040f940f4b6399aaf41eb3f86b3cb948ee7dc", "title": "Tracklet association based multi-target tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3238-5"]}, {"id": "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "title": "GPU Accelerated ACF Detector", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf"], "doi": []}, {"id": "3c3477903b5138fe5e5e007556981387dd391f77", "title": "Online adaptive multiple pedestrian tracking in monocular surveillance video", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-016-2319-3"]}, {"id": "94490145def938ca1f8bb265d10b66924937a367", "title": "Iterative Local Model Selection for tracking and mapping", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9449/0145def938ca1f8bb265d10b66924937a367.pdf"], "doi": []}, {"id": "0a5718f6a60ca18e6b6de5660c49040ac0045d7a", "title": "Automatic classification of the Parkinson \u2019 s patient stiffness from a single videosequence", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0a57/18f6a60ca18e6b6de5660c49040ac0045d7a.pdf"], "doi": []}, {"id": "b45bb3876a7f980490e0b78ed70064d276b13761", "title": "Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes", "addresses": [{"name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "source_name": "Deparment of Computer Science, Centro de Investigaci\u00f3n en Matem\u00e1ticas, 36240 Guanajuato, M\u00e9xico", "street_adddress": "Callej\u00f3n Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico", "lat": "21.04205500", "lng": "-101.26120280", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139258", "http://doi.org/10.1109/ICRA.2015.7139258"]}, {"id": "e2efecac66fec3890b7ffeaa54ee1c6400f9029e", "title": "Pattern Recognition", "addresses": [{"name": "University of Erlangen-N\u00fcrnberg", "source_name": "University of Erlangen-N\u00fcrnberg, Erlangen, Germany", "street_adddress": "Schlo\u00dfplatz 4, 91054 Erlangen, Germany", "lat": "49.59788040", "lng": "11.00455070", "type": "edu", "country": "Germany"}, {"name": "University of Kiel", "source_name": "University of Kiel, Kiel, Germany", "street_adddress": "Christian-Albrechts-Platz 4, 24118 Kiel, Germany", "lat": "54.34605490", "lng": "10.11470220", "type": "edu", "country": "Germany"}, {"name": "University of M\u00fcnster", "source_name": "University of M\u00fcnster, M\u00fcnster, Germany", "street_adddress": "Schlossplatz 2, 48149 M\u00fcnster, Germany", "lat": "51.96357050", "lng": "7.61318260", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://www.fil.ion.ucl.ac.uk/~john/misc/ISBI2015/ISBI_I.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-11752-2"]}, {"id": "0749deedd6dce98b48475f335e2c322b16fcb202", "title": "Hybrid 3D\u20132D human tracking in a top view", "addresses": [{"name": "IBISC laboratory, Evry, France", "source_name": "IBISC laboratory, Evry, France", "street_adddress": "43 Rue du Pelvoux, 91080 Courcouronnes, France", "lat": "48.61325350", "lng": "2.42853710", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-014-0429-7"]}, {"id": "2a7935706d43c01789d43a81a1d391418f220a0a", "title": "Enhancing Linear Programming with Motion Modeling for Multi-target Tracking", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/31960902/285.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045871", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.17", "http://doi.org/10.1109/WACV.2015.17"]}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}, {"id": "9b93626cc87411964712d05905c2dd0a1247d16d", "title": "Multiple instance-based object retrieval in video surveillance: Dataset and evaluation", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6936970"]}, {"id": "139302f87b4a23dad87b2f3a2187593f18bcd68c", "title": "Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06897.pdf"], "doi": []}, {"id": "8cf679ef0ea28557acb86546e4b1b1a617d1c698", "title": "Long Term Multi-Target Tracking based on Detection and Data Association", "addresses": [{"name": "University of Suwon", "source_name": "the University of Suwon, Korea", "street_adddress": "17 Wauan-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do, South Korea", "lat": "37.20899690", "lng": "126.97639770", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8cf6/79ef0ea28557acb86546e4b1b1a617d1c698.pdf"], "doi": []}, {"id": "4643da1a650d34aca300f3222d07fc9c1e622891", "title": "Persistent people tracking and face capture using a PTZ camera", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-016-0758-6", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778246"]}, {"id": "e12d5019baca91c3662aef317d406ae884f9c742", "title": "Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis", "addresses": [{"name": "University of Goettingen", "source_name": "Institute of Computer Science University of Goettingen, Data Fusion Group, Germany", "street_adddress": "Goldschmidtstra\u00dfe 7, 37077 G\u00f6ttingen, Germany", "lat": "51.55594460", "lng": "9.94799660", "type": "edu", "country": "Germany"}, {"name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "source_name": "Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany", "street_adddress": "Rutherfordstra\u00dfe 2, 12489 Berlin, Germany", "lat": "52.42820940", "lng": "13.52918370", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455280", "http://doi.org/10.23919/ICIF.2018.8455280"]}, {"id": "0824768412cf2c3e9f550025eee06bb34e5f3afd", "title": "Latent Data Association: Bayesian Model Selection for Multi-target Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Segal_Latent_Data_Association_2013_ICCV_paper.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/segal_etal_iccv2013/segal_etal_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751472", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.361", "http://doi.org/10.1109/ICCV.2013.361"]}, {"id": "53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54", "title": "A video cloud platform combing online and offline cloud computing technologies", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "China University of Petroleum", "source_name": "College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China", "street_adddress": "China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49\u53f7\u6f4d\u574a\u5b66\u9662\u7ecf\u6d4e\u7ba1\u7406\u5b66\u9662\u9644\u8fd1", "lat": "36.71684600", "lng": "119.18339500", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-015-0879-3"]}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "addresses": [{"name": "Universit\u00e0 degli Studi di Cagliari, Italy", "source_name": "Universit\u00e0 degli Studi di Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "4280c600ef8621b6bed27e729cd23535ddd6b5c7", "title": "Dense Multiperson Tracking with Robust Hierarchical Linear Assignment", "addresses": [{"name": "Queen\u2019s University Belfast", "source_name": "Centre for Secure Information Technologies, Queen\u2019s University Belfast, Belfast, U.K.", "street_adddress": "Belfast BT3 9DT, UK", "lat": "54.61403200", "lng": "-5.90043100", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6892983"]}, {"id": "07f47b063577afc98c6717d6bb046fe72aa75b12", "title": "Online multiperson tracking with occlusion reasoning and unsupervised track motion model", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636613"]}, {"id": "184c3e66a746376716d5e816d95e1a7cb8e04390", "title": "Unsupervised learning of a scene-specific coarse gaze estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "https://media.adelaide.edu.au/acvt/Publications/2011/2011-Unsupervised%20Learning%20of%20a%20Scene-Specific%20Coarse%20Gaze%20Estimator.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126516", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126516", "http://doi.org/10.1109/ICCV.2011.6126516"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "b28eb219db9370cf20063288225cc2f3e6e5f984", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410584", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.227", "http://doi.org/10.1109/ICCV.2015.227"]}, {"id": "f34bc8a28f71be31371b1af0ddc3d1227e33281f", "title": "Robust tracking algorithm with designed marker for limited-power computer", "addresses": [{"name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "source_name": "Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520", "street_adddress": "3 Thanon Chalong Krung, Khwaeng Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.72699780", "lng": "100.77638460", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7440529"]}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "0b7f5d25cd1142b5761194f1ebeeba6780aaabb2", "title": "Estimation of the people position in the world coordinate system for video surveillance", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768816060062"]}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "5d1365b1cb7d51336402d546e1b7640f345757fc", "title": "Runtime Verification for Stream Processing Applications", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d13/65b1cb7d51336402d546e1b7640f345757fc.pdf"], "doi": []}, {"id": "20100323ec5c32ae91add8e866d891a78f1a2bbe", "title": "Unsupervised Object Discovery and Tracking in Video Collections", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.03825.pdf"], "doi": []}, {"id": "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "title": "Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "source_name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "street_adddress": "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "lat": "57.71720040", "lng": "11.92185580", "type": "company", "country": "Sweden"}], "year": "2018", "pdf": ["http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1077-3"]}, {"id": "6749db5ae9547d5fe0fb4c743c631eb5bac69d37", "title": "An adaptive clustering approach for group detection in the crowd", "addresses": [{"name": "Shanghai University of Electric Power", "source_name": "Shanghai University of Electric Power, 200090, China", "street_adddress": "1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093", "lat": "31.27477300", "lng": "121.54757500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314181", "http://doi.org/10.1109/IWSSIP.2015.7314181"]}, {"id": "b17b20c3a3804482a1af3be897758d4f3be26677", "title": "Self-calibrating 3D context for retrieving people with luggage", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://www.multimedia-computing.de/mediawiki//images/3/35/ICCV_Workshop2011.pdf", "http://www.multimedia-computing.de/mediawiki/images/3/35/ICCV_Workshop2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130483", "http://doi.org/10.1109/ICCVW.2011.6130483"]}, {"id": "5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a", "title": "Constant-time monocular object detection using scene geometry", "addresses": [{"name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "source_name": "Vicomtech-IK4, San Sebasti\u00e1n, Spain", "street_adddress": "Mikeletegi Pasealekua, 57, Parque Tecnol\u00f3gico de San Sebasti\u00e1n, 20009 Donostia, Gipuzkoa, Spain", "lat": "43.29223900", "lng": "-1.98569200", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-017-0625-8"]}, {"id": "32cd02519928aa91dca18074778a59b2cba19765", "title": "Forecasting crowd dynamics through coarse-grained data analysis", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d29/8ae96e778c6582938476b010f52e0791a46d.pdf"], "doi": []}, {"id": "4ab31fc841890b90d66c30ed2f694a0597f0a081", "title": "Matching heads of multiple people in multiple camera networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628512", "http://doi.org/10.1109/ROMAN.2013.6628512"]}, {"id": "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses", "addresses": [{"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00652.pdf"], "doi": []}, {"id": "6725b986c81964414c39050e0ced11843cc0cbaa", "title": "Modeling crowd dynamics through coarse-grained data analysis.", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6725/b986c81964414c39050e0ced11843cc0cbaa.pdf"], "doi": []}, {"id": "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "title": "\"Seeing is Believing\": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354238", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00134", "http://doi.org/10.1109/WACV.2018.00134"]}, {"id": "fa5aca45965e312362d2d75a69312a0678fdf5d7", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf"], "doi": []}, {"id": "5369b021f2abf5daa77fa5602569bb3b8bb18546", "title": "GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_GMMCP_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299036", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299036", "http://doi.org/10.1109/CVPR.2015.7299036"]}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "fe3208c3fd29876fc17a782a2f4f1bf3891bae0e", "title": "Multi-object tracking via MHT with multiple information fusion in surveillance video", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-014-0361-5"]}, {"id": "224547337e1ace6411a69c2e06ce538bc67923f7", "title": "Convolutional Neural Network for Camera Pose Estimation from Object Detections", "addresses": [{"name": "Faculty of Computer Science, Moscow, Russia", "source_name": "Faculty of Computer Science, Moscow, Russia", "street_adddress": "Kochnovskiy Proyezd, 3, Moskva, Russia, 125319", "lat": "55.80671040", "lng": "37.54163810", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf"], "doi": []}, {"id": "d16e7650a6137f34342c1372ecc36a00eb3643d1", "title": "Patterns of renal disease in Cape Town South Africa: a 10-year review of a single-centre renal biopsy database.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/d16e/7650a6137f34342c1372ecc36a00eb3643d1.pdf"], "doi": []}, {"id": "3ad48edfc0b1debd8d327e4dadaa30324b0c2d7b", "title": "The \u2018Masai \u2019andmiraa: public authority, vigilance and criminality in a Ugandan border town*", "addresses": [{"name": "University of Antwerp", "source_name": "University of Antwerp, Wilrijk, Belgium", "street_adddress": "Prinsstraat 13, 2000 Antwerpen, Belgium", "lat": "51.22280970", "lng": "4.41023180", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ad4/8edfc0b1debd8d327e4dadaa30324b0c2d7b.pdf"], "doi": []}, {"id": "38b36e0f7e3a68aaad458a5f82454ac4804bd97c", "title": "Comparative experimental application of alternative travel diaries in Cape Town and Dar es Salaam", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/38b3/6e0f7e3a68aaad458a5f82454ac4804bd97c.pdf"], "doi": []}, {"id": "df18854e23161ea2c6675aff37278f0dd17dd026", "title": "Does investment in the built fabric of historic towns drive economic recovery", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/df18/854e23161ea2c6675aff37278f0dd17dd026.pdf"], "doi": []}, {"id": "818bbe4a50840c5971f94342a760fc0d9c67c376", "title": "Estimates of CO2 fluxes over the City of Cape Town, South Africa, through Bayesian inverse modelling", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/95d7/0ae92c37d5198c0759a2d80bba0c07251596.pdf"], "doi": []}, {"id": "63c6508f118b13ba63ec79e768993d866ac9c5fd", "title": "Structures of hosting in a south-western Chinese town", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/63c6/508f118b13ba63ec79e768993d866ac9c5fd.pdf"], "doi": []}, {"id": "f2dd55304aa998e578d8af0c6bd873c121f676be", "title": "The changing profile of pediatric meningitis at a referral centre in Cape Town, South Africa.", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f2dd/55304aa998e578d8af0c6bd873c121f676be.pdf"], "doi": []}, {"id": "f5148d387860b31a4262cc19ae121668ace3f1f1", "title": "A Photo-Based Environmental History of the Use of Climbing Plants in Central Oxford, UK", "addresses": [{"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f514/8d387860b31a4262cc19ae121668ace3f1f1.pdf"], "doi": []}, {"id": "1c27031daf9429cfe5db1bdd833fff1db911d686", "title": "Tourism Development: Issues for Historic Walled Towns", "addresses": [{"name": "University of the West of England", "source_name": "Machine Vision Laboratory, University of the West of England, Bristol, UK", "street_adddress": "Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK", "lat": "51.50152270", "lng": "-2.54807570", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/1c27/031daf9429cfe5db1bdd833fff1db911d686.pdf"], "doi": []}, {"id": "dd3f22363bc575ccfbed69b0fd2acaf1b758a7ba", "title": "\u201c The Boys Are Coming to Town \u201d : Youth , Armed Conflict and Urban Violence in Developing Countries", "addresses": [{"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}, {"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/dd3f/22363bc575ccfbed69b0fd2acaf1b758a7ba.pdf"], "doi": []}, {"id": "5eeb63e82794df62772d4bd42d448f0d46bfcf91", "title": "Patient Satisfaction with a Pilot Chronic Pain Management Programme in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5eeb/63e82794df62772d4bd42d448f0d46bfcf91.pdf"], "doi": []}, {"id": "a1428468de3a243f16c4886fd0af181b6e7a8fdd", "title": "Temporal trends in TB notification rates during ART scale-up in Cape Town: an ecological analysis", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7173/b416f24b935e9f172ceb2ab91e2caf1cbe7a.pdf"], "doi": []}, {"id": "d9e0787e31c35a148c4a63b50b395222c54f74b3", "title": "Outcome of patients with membranous lupus nephritis in Cape Town South Africa.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d9e0/787e31c35a148c4a63b50b395222c54f74b3.pdf"], "doi": []}, {"id": "174a07fdd63cd03970aaba903cab6c5f28344ad6", "title": "The introductory astronomy course at the University of Cape Town: probing student perspectives", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.2363.pdf"], "doi": []}, {"id": "dcb69bd155d4ad20d78e9bbba5c7f5c86a6b31c5", "title": "Compositional changes in spider (araneae) assemblages along an urbanisation gradient near a danish town", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dcb6/9bd155d4ad20d78e9bbba5c7f5c86a6b31c5.pdf"], "doi": []}, {"id": "aedc5eb7d7a52da0e99f65f07ef5119d0398a244", "title": "3 \u201c WHERE WERE THEY UNTIL NOW ? \u201d Aging , Care and Abandonment in a Bosnian Town", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aedc/5eb7d7a52da0e99f65f07ef5119d0398a244.pdf"], "doi": []}, {"id": "a677e7a8ab975f8742a8c352449d6b2a79d64e70", "title": "Internet and Online Media Usage on Mobile Phones among Low-Income Urban Youth in Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/a677/e7a8ab975f8742a8c352449d6b2a79d64e70.pdf"], "doi": []}, {"id": "4221f6f9a1e0259dceffa2bfc85ba8dc995a43ee", "title": "Little Knowledge Rules the Web: Domain-Centric Result Page Extraction", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://christian.schallhart.net/publications/2011--rr--little-knowledge-rules-the-web-domain-centric-result-page-extraction.pdf", "http://www.orsigiorgio.net/wp-content/papercite-data/pdf/fgg*11b.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23580-1_6"]}, {"id": "a7a2835ad6ed4d3db275e3c8923915ae712544be", "title": "Multiple supermassive black hole systems: SKA\u2019s future leading role", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.01238.pdf"], "doi": []}, {"id": "b3ed1ade56553d3b531bc08d7c40c2962260f96a", "title": "Epidemiology of HIV-1 subtypes among men who have sex with men in Cape Town, South Africa.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b3ed/1ade56553d3b531bc08d7c40c2962260f96a.pdf"], "doi": []}, {"id": "c9c4a3108f201fa51ce2a25c85aea59fbc733d81", "title": "The aquatic macroinvertebrate biodiversity of urban ponds in a medium-sized European town (Loughborough, UK)", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/18381/1/Hill%20et%20al%202015.pdf"], "doi": ["https://doi.org/10.1007/s10750-015-2328-8"]}, {"id": "4b6e23c5f2a09d20463fb715cbf5cb5ad922dbaf", "title": "WILL \"DISTRICT HEATING COME TO TOWN\"? ANALYSIS OF CURRENT OPPORTUNITIES AND CHALLENGES IN THE UK", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/4b6e/23c5f2a09d20463fb715cbf5cb5ad922dbaf.pdf"], "doi": []}, {"id": "e2f7fb3fd5b62896213ad0b631df5d1941140957", "title": "Out on the town: A socio-physical approach to the design of a context-aware urban guide", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1534904"]}, {"id": "68df2e24423d80d2d3e37d8e1707501b4cf84b5f", "title": "Design of a solar energy centre for providing lighting and income-generating activities for off-grid rural communities in Kenya", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/85496.pdf", "https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/27616/3/Kenya.pdf"], "doi": ["https://doi.org/10.1016/j.renene.2017.11.053"]}, {"id": "907d179b7721ba5c7638c9b470b495bec919f54a", "title": "Probing primordial non-Gaussianity via iSW measurements with SKA continuum surveys", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "University of the Western Cape", "source_name": "University of the Western Cape", "street_adddress": "University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa", "lat": "-33.93277620", "lng": "18.62915407", "type": "edu", "country": "South Africa"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.0010.pdf"], "doi": []}, {"id": "4d3cc73e7303b74fc03b8327b144bf77674cd751", "title": "Survival from breast cancer: an analysis of Australian data by surgeon case load, treatment centre location, and health insurance status.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d3c/c73e7303b74fc03b8327b144bf77674cd751.pdf"], "doi": []}, {"id": "93777edf3169320a76909d8d8968d3656a2cc5a0", "title": "High levels of vulnerability and anticipated stigma reduce the impetus for tuberculosis diagnosis in Cape Town, South Africa.", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9377/7edf3169320a76909d8d8968d3656a2cc5a0.pdf"], "doi": []}, {"id": "fe38273f0aae5b572b126e72f81a238931aba758", "title": "Sexualising the sacred, sacralising sexuality: An analysis of public responses to Muslim women's religious leadership in the context of a Cape Town mosque", "addresses": [{"name": "University of KwaZulu-Natal", "source_name": "University of KwaZulu-Natal", "street_adddress": "238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa", "lat": "-29.86742190", "lng": "30.98072720", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fe38/273f0aae5b572b126e72f81a238931aba758.pdf"], "doi": []}, {"id": "1d827e24143e5fdfe709d33b7b13a9a24d402efd", "title": "Learning Deep Features for Scene Recognition using Places Database", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e487/7221c3fd1afb6570c8ac22d909c8c559c572.pdf"], "doi": []}, {"id": "b5ce7b2954cf36f201f633385eb2da8e18afd87b", "title": "Caregivers' Experiences of Pathways to Care for Seriously Ill Children in Cape Town, South Africa: A Qualitative Investigation.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b5ce/7b2954cf36f201f633385eb2da8e18afd87b.pdf"], "doi": []}, {"id": "af2f131f90f9aa282a7368f05efc1d5d8b55fc87", "title": "Affecting relations : domesticating the internet in a south-western Chinese town", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af2f/131f90f9aa282a7368f05efc1d5d8b55fc87.pdf"], "doi": []}, {"id": "fb8a0e4c9c104bf80739fc21df967562e2ed9588", "title": "NEOLIBERALISM AND MEGA-EVENT SECURITY LEGACIES: THE 2010 FIFA WORLD CUP, CAPE TOWN, SOUTH AFRICA", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb8a/0e4c9c104bf80739fc21df967562e2ed9588.pdf"], "doi": []}, {"id": "16eb7cefb612ca66c6b3d936b60d0a5f4947b1f4", "title": "Araport: the Arabidopsis Information Portal", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/16eb/7cefb612ca66c6b3d936b60d0a5f4947b1f4.pdf"], "doi": []}, {"id": "986c25cd9de882fc528ab569973673479182a0c9", "title": "Pancreatic injuries after blunt abdominal trauma: an analysis of 110 patients treated at a level 1 trauma centre.", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9679/948f201ca0eabc3ba6f62db5d8c82ccda90b.pdf"], "doi": []}, {"id": "0ff09c7dc049c2f704395ab1dbaabacf2b0e3dea", "title": "Competition and Innovation : An inverted-U relationship using Japanese industry data", "addresses": [{"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0ff0/9c7dc049c2f704395ab1dbaabacf2b0e3dea.pdf"], "doi": []}, {"id": "b3d8924e1bff63d0b91a8c4845df4a30529f947b", "title": "Measuring redshift-space distortion with future SKA surveys", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Portsmouth", "source_name": "University of Portsmouth", "street_adddress": "University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK", "lat": "50.79805775", "lng": "-1.09834911", "type": "edu", "country": "United Kingdom"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of the Western Cape", "source_name": "University of the Western Cape", "street_adddress": "University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa", "lat": "-33.93277620", "lng": "18.62915407", "type": "edu", "country": "South Africa"}, {"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.03821.pdf"], "doi": []}, {"id": "0e41075d57b9fbf205cd1759dbfdaf5bf05f55aa", "title": "The prevalence and characteristics of sexting behaviours among adolescents and adults in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e41/075d57b9fbf205cd1759dbfdaf5bf05f55aa.pdf"], "doi": []}, {"id": "4e84781d13bda58e7e38a5dd1f0ac36acc9f80a5", "title": "Concentration of Air Pollutants During Working and Non-Working Days in the Kuala Lumpur City Centre, Malaysia", "addresses": [{"name": "Universiti Kebangsaan Malaysia", "source_name": "Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.92999700", "lng": "101.77742250", "type": "edu", "country": "Malaysia"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e84/781d13bda58e7e38a5dd1f0ac36acc9f80a5.pdf"], "doi": []}, {"id": "4dbaf3e94aa8b4149de2bf2a6ce3fe894adf4dc3", "title": "Agricultural Transparency: Reconnecting Urban Centres With Food Production", "addresses": [{"name": "Dalhousie University", "source_name": "Dalhousie University, Halifax, NS, Canada", "street_adddress": "6299 South St, Halifax, NS B3H 4R2, Canada", "lat": "44.63658120", "lng": "-63.59165550", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4dba/f3e94aa8b4149de2bf2a6ce3fe894adf4dc3.pdf"], "doi": []}, {"id": "2f5148f95049012a1116a187a99cbd24fa409f6c", "title": "Auxin and cytokinin control formation of the quiescent centre in the adventitious root apex of arabidopsis", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2f51/48f95049012a1116a187a99cbd24fa409f6c.pdf"], "doi": []}, {"id": "3ffa6531795dab7c732e61c712ae447b975b62c2", "title": "Return and Reintegration of Minority Refugees : The Complexity of the Serbian Returnees Experiences in the Town of Glina", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3ffa/6531795dab7c732e61c712ae447b975b62c2.pdf"], "doi": []}, {"id": "c40ef62409eaeaaabbfb9f1f5399722f99697b22", "title": "Making academic OER easy: Reflections on technology and openness at Oxford University", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c40e/f62409eaeaaabbfb9f1f5399722f99697b22.pdf"], "doi": []}, {"id": "ff33c99c6e4862f70116b648afbbf6ec05668d20", "title": "Fine aggregate resources in the greater Cape Town area", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ff33/c99c6e4862f70116b648afbbf6ec05668d20.pdf"], "doi": []}, {"id": "41bfe00f9d99cacb68c033ae024c7a5987873501", "title": "A town called eco: What notions of sustainable development do the government's proposed eco-towns embody?", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/41bf/e00f9d99cacb68c033ae024c7a5987873501.pdf"], "doi": []}, {"id": "408335ce2fdc622a97005027781183337117d4e4", "title": "Prevalence of chronic kidney disease and association with cardiovascular risk factors among teachers in Cape Town, South Africa", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4083/35ce2fdc622a97005027781183337117d4e4.pdf"], "doi": []}, {"id": "7426b4a618aadb2539f8bc0eb76ce4e1c18219cb", "title": "Community Technology Centres in Regional New South Wales: A Knowledge Based Analysis of ICT Enabled Development", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/7426/b4a618aadb2539f8bc0eb76ce4e1c18219cb.pdf"], "doi": []}, {"id": "a9627e7b43c8086a6533b07635a440c6d8fad77c", "title": "Radio monitoring of the hard state jets in the 2011 outburst of MAXI J1836 194", "addresses": [{"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "New York University Abu Dhabi", "source_name": "NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "edu", "country": "United Arab Emirates"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}, {"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.08634.pdf"], "doi": []}, {"id": "339fc645f16ff35472b11f67fd068098d208ed04", "title": "HIV transmission risk behaviours among HIV seropositive sexually transmitted infection clinic patients in Cape Town, South Africa.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/339f/c645f16ff35472b11f67fd068098d208ed04.pdf"], "doi": []}, {"id": "6e1a1c7cf6534387c26e9c04f03d51507a3164b3", "title": "Effects of diversity of green infrastructure network to well-being of residents in a small town", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6e1a/1c7cf6534387c26e9c04f03d51507a3164b3.pdf"], "doi": []}, {"id": "2dc7a1b471999771af33af8057158040b96f34c9", "title": "Religious competition, Creole identities, and economic development : foundations of competitive diversity in early Victorian Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2dc7/a1b471999771af33af8057158040b96f34c9.pdf"], "doi": []}, {"id": "42c7e2bedaa79ae475dc597b92f1d99b0cb797f1", "title": "A Season in Town: Plantation Women and the Urban South, 1790-1877", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/42c7/e2bedaa79ae475dc597b92f1d99b0cb797f1.pdf"], "doi": []}, {"id": "738128006c1bc172b06aa8951d2d09e8d2655873", "title": "Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7381/28006c1bc172b06aa8951d2d09e8d2655873.pdf"], "doi": []}, {"id": "9e0d708a5b2ba890af359309c7649d833120eb71", "title": "TOILETS AT LAST - PERCEPTIONS OF THE USERS OF 'PORTA POTTY' TOILETS IN JIM SE BOS INFORMAL SETTLEMENT IN PHILLIPI, CAPE TOWN", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e0d/708a5b2ba890af359309c7649d833120eb71.pdf"], "doi": []}, {"id": "2fdfe539a131ab29abfc92042b41a9078f995022", "title": "Towards people-centred health systems: a multi-level framework for analysing primary health care governance in low- and middle-income countries", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3f23/85ae8486a26f8584ea7f20a7111fa7abe9fa.pdf"], "doi": []}, {"id": "0900470e632f03a735c7b3a8b4fbc18ef28ffd60", "title": "Association between socioeconomic status and renal function in a population of German patients with diabetic nephropathy treated at a tertiary centre.", "addresses": [{"name": "University of Jena", "source_name": "Computer Vision Group, University of Jena, Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0900/470e632f03a735c7b3a8b4fbc18ef28ffd60.pdf"], "doi": []}, {"id": "ed3e117b49892011f1dcca0a4c6e385a2d93e303", "title": "Optical and microwave control of germanium-vacancy center spins in diamond", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02947.pdf"], "doi": []}, {"id": "037d0354af8f8d48714f1dd5a39863dca25789fa", "title": "Current Lexicography Practice in Bantu with Specific Reference to the Oxford Northern Sotho School Dictionary", "addresses": [{"name": "University of Pretoria", "source_name": "University of Pretoria, Pretoria, South Africa", "street_adddress": "Lynnwood Rd, Hatfield, Pretoria, 0002, South Africa", "lat": "-25.75454920", "lng": "28.23144760", "type": "edu", "country": "South Africa"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/037d/0354af8f8d48714f1dd5a39863dca25789fa.pdf"], "doi": []}, {"id": "1fe56e223082476450b8499540656e8b2f73ad65", "title": "Poverty and psychological health among AIDS-orphaned children in Cape Town, South Africa.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/dde2/611bcecd069aaa461850907f46f84b37f585.pdf"], "doi": []}, {"id": "949cc86fb1ae776cb0a8c22df76b2dbcb0bc03e4", "title": "Immunohematopoietic stem cell transplantation in Cape Town: a ten-year outcome analysis in adults.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://core.ac.uk/download/pdf/82095631.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20118055", "https://doi.org/10.1016/S1658-3876%2809%2950020-9"]}, {"id": "c54e8963d9a3c72858507819b8e22b07ad34eb44", "title": "Vacuum-induced Autler-Townes splitting in a superconducting artificial atom", "addresses": [{"name": "Hunan Normal University", "source_name": "College of Engineering and Design, Hunan Normal University, Changsha, 410081", "street_adddress": "Changsha, Hunan, China", "lat": "28.22820900", "lng": "112.93881400", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tokyo University of Science", "source_name": "Tokyo University of Science, Tokyo, Japan", "street_adddress": "Japan, \u3012162-0825 \u6771\u4eac\u90fd\u65b0\u5bbf\u533a\u795e\u697d\u5742\uff11\u4e01\u76ee\uff13", "lat": "35.69939900", "lng": "139.74139800", "type": "edu", "country": "Japan"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11118.pdf"], "doi": []}, {"id": "aa7ebc28a8ea4b803fca021569a0240cd12a6a7e", "title": "User Centered Design Methods must also be User Centered: A Single Voice from the Field. A Study of User Centered Design in Practice", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aa7e/bc28a8ea4b803fca021569a0240cd12a6a7e.pdf"], "doi": []}, {"id": "713bada3c1b324077e34059e11ee155349301361", "title": "A large and persistent carbon sink in the world's forests.", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/57a5/fbdac3d0489152a0c2822f6b8f510a05042a.pdf"], "doi": []}, {"id": "61e0d1042c9456ee9cb819a2408e6c217ddee90c", "title": "Initiating mobile phone technology using QR Codes to access library services at the University of Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/61e0/d1042c9456ee9cb819a2408e6c217ddee90c.pdf"], "doi": []}, {"id": "df0a6f274d9f58d7d3a69d659f0fa47bc96b0229", "title": "Going to town: Visualized perspectives and navigation through virtual environments", "addresses": [{"name": "Tufts University", "source_name": "Tufts University, Medford, MA, USA", "street_adddress": "419 Boston Ave, Medford, MA 02155, USA", "lat": "42.40748430", "lng": "-71.11902320", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://ase.tufts.edu/psychology/spacelab/pubs/TBrunye_CiHB.pdf", "https://a4d1f174-a-62cb3a1a-s-sites.googlegroups.com/site/agardony/TBrunye_CiHB.pdf?attachauth=ANoY7cqDrALTtCKVdCI_Cidn_c6duBh59L8Xiz_sIFcO0v1nx2IcO8cO2OMFRS82pLEtCz4S0ubkYpMeY1IaD5lDU7nT5WH6lHJcyid7L1c--bVm7YjsclXY-zbSZAfAybeljNtE4XJdqp7ts1BKgmpy7hL_9POSDlS1TSKzFpPn76UZW_DEM-15FFCgyulbVOnTGajI_1AjSmYNEKGgehRFj5e8Tu5ryg%3D%3D&attredirects=0"], "doi": ["https://doi.org/10.1016/j.chb.2011.09.008"]}, {"id": "0de633523504718f103669721a081bd5b1c16223", "title": "Language choice and sexual communication among Xhosa speakers in Cape Town, South Africa: implications for HIV prevention message development.", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0de6/33523504718f103669721a081bd5b1c16223.pdf"], "doi": []}, {"id": "a806ebd842f271bcb13f3ef30420298b996b79f5", "title": "Fine structure of the isovector giant dipole resonance in Pb 208: Characteristic scales and level densities", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}, {"name": "Western Michigan University", "source_name": "Western Michigan University, USA", "street_adddress": "1903 Western Michigan Avenue, Kalamazoo, MI 49008, USA", "lat": "42.28373360", "lng": "-85.61025070", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.7652.pdf"], "doi": []}, {"id": "d15272be626d36c930c87bcbe31042fe44299a56", "title": "Electromagnetically induced transparency and Autler-Townes splitting in superconducting flux quantum circuits", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.7323.pdf"], "doi": []}, {"id": "51e6f15168c8e7c5ce2a649c73867466661c543e", "title": "Observation of Autler-Townes effect in a dispersively dressed Jaynes-Cummings System", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1308.2246.pdf"], "doi": []}, {"id": "a0c59936a85736772c432f845a1ea3e1e62892a1", "title": "Qualitative Study on University Towns Health Education among Undergraduate in Chongqing University Town, China", "addresses": [{"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a0c5/9936a85736772c432f845a1ea3e1e62892a1.pdf"], "doi": []}, {"id": "31df0cfc0be5e5650a374784635ea9cea7e27dcc", "title": "Pedestrian Planning in City Centers: a Study of Guimar\u00e3es and Braga", "addresses": [{"name": "University of Minho", "source_name": "R&D Centre Algoritmi, University of Minho, Portugal", "street_adddress": "R. da Universidade, 4710-057 Braga, Portugal", "lat": "41.56073190", "lng": "-8.39623680", "type": "edu", "country": "Portugal"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/31df/0cfc0be5e5650a374784635ea9cea7e27dcc.pdf"], "doi": []}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "a48d4487659ad4d0ab83c0537f3af0ab2fb4d03f", "title": "Cohort Profile: African Collaborative Center for Microbiome and Genomics Research\u2019s (ACCME's) Human Papillomavirus (HPV) and Cervical Cancer Study", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Ibadan", "source_name": "University of Ibadan, Ibadan, Nigeria", "street_adddress": "Oduduwa Road, Ibadan, Nigeria", "lat": "7.44425930", "lng": "3.89945770", "type": "edu", "country": "Nigeria"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48d/4487659ad4d0ab83c0537f3af0ab2fb4d03f.pdf"], "doi": []}, {"id": "ef0c95b4ffeb7999803140f9f2b8f2c475cc1748", "title": "Trace Interviews: An Actor-Centered Approach", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef0c/95b4ffeb7999803140f9f2b8f2c475cc1748.pdf"], "doi": []}, {"id": "0fbb184871bd7660bc579178848d58beb8288b7d", "title": "Aggregating local descriptors into a compact image representation", "addresses": [{"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540039"]}, {"id": "3adb0668f10db739371381b94bf47f3ae4076aa4", "title": "Impact of the spatial structuring of virtual towns on the navigation strategies of children aged 6 to 15 years old", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3adb/0668f10db739371381b94bf47f3ae4076aa4.pdf"], "doi": []}, {"id": "3f6160adefb7a96864a6e254f29aa188aa1c1f9d", "title": "Deliberative Discourse in the Town Hall Meeting", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f61/60adefb7a96864a6e254f29aa188aa1c1f9d.pdf"], "doi": []}, {"id": "222ef20afbd6c1a729eac5079e8b027a725c9961", "title": "Empirical modified sequential therapy containing levofloxacin and high-dose esomeprazole in second-line therapy for Helicobacter pylori infection: a multicentre clinical trial.", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/222e/f20afbd6c1a729eac5079e8b027a725c9961.pdf"], "doi": []}, {"id": "6875ae579f2b6ce10cfb0a563ab278e6e7cd21c1", "title": "Dynamic electric and magnetic fields in laser-produced high-energy-density plasmas", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6875/ae579f2b6ce10cfb0a563ab278e6e7cd21c1.pdf"], "doi": []}, {"id": "341066f250e2edd7406376d644380699eb658364", "title": "Observations of electromagnetic fields and plasma flow in hohlraums with proton radiography.", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3148/404490eb3626c15361a6976cab9d81a46660.pdf"], "doi": []}, {"id": "e4fa8c7454f48d3bf047ab7ee1859618c4d6babf", "title": "The Deconstruction and Reconstruction of Tourism Image of an Ancient Town: ---Using the Ancient Town of Songkou as a Case Study", "addresses": [{"name": "Minjiang University", "source_name": "Minjiang University, Fuzhou, People\u2019s Republic of China", "street_adddress": "1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.06470400", "lng": "119.16911600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232189"]}, {"id": "cc964b35672023a17c33a51a13c769491c581f37", "title": "Coherence Properties and Quantum Control of Silicon Vacancy Color Centers in Diamond", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10321.pdf"], "doi": []}, {"id": "82e82699a51b8939c70115ca2ee7b07fc8cae8de", "title": "Conceptual patterns for student-centered computer science education at secondary school level", "addresses": [{"name": "University of Vienna", "source_name": "University of Vienna", "street_adddress": "Uni Wien, 1, Universit\u00e4tsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, \u00d6sterreich", "lat": "48.21313020", "lng": "16.36068653", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2532776"]}, {"id": "1b89a526477f40dc91a98d9c5ca4d017dce7ec99", "title": "Data centers \u2013 threat or possibility to old industrial sites (brownfields) in Nordic countries", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b89/a526477f40dc91a98d9c5ca4d017dce7ec99.pdf"], "doi": []}, {"id": "ca43ff262f67ea13ac93f31849023bee3d9ed836", "title": "Nutrition Smoothing: Can Proximity to Towns and Cities Protect Rural Children against Seasonal Variation in Agroclimatic Conditions at Birth?", "addresses": [{"name": "Tufts University", "source_name": "Tufts University, Medford, MA, USA", "street_adddress": "419 Boston Ave, Medford, MA 02155, USA", "lat": "42.40748430", "lng": "-71.11902320", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ca43/ff262f67ea13ac93f31849023bee3d9ed836.pdf"], "doi": []}, {"id": "66af86391b1c2ce5c7ceff54ef78345629f9572d", "title": "Making Meatville: belonging and migration in a Midwest meatpacking town", "addresses": [{"name": "University of Iowa", "source_name": "University of Iowa", "street_adddress": "University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA", "lat": "41.66590000", "lng": "-91.57310307", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f6d5/ffd742706461af00aed8544942f6f3e4f71a.pdf"], "doi": []}, {"id": "9da6a7c8d7073d4300b40db71681b67ac85fdbf7", "title": "Recreating a Vibrant City Center in Response Urban Environments by Using AHP Model ( Case Study : Qazvin City Historical Context in Iran )", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9da6/a7c8d7073d4300b40db71681b67ac85fdbf7.pdf"], "doi": []}, {"id": "a1abede8f0751f117ef42fe8669c0604c5ee4d0d", "title": "Trophic downgrading of planet Earth.", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/65bb/7d78202144915c03953d50834ae20767722a.pdf"], "doi": []}, {"id": "0f9e0503347712113fded0c6b1a13bc63c17b922", "title": "Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools.", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f9e/0503347712113fded0c6b1a13bc63c17b922.pdf"], "doi": []}, {"id": "4ee6404c324a09aab0cdeb76395f56b3cf383c7f", "title": "Centers of sustainable co-created products by BoP: Development inspired by social entrepreneurs", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4ee6/404c324a09aab0cdeb76395f56b3cf383c7f.pdf"], "doi": []}, {"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "title": "The Pascal Visual Object Classes (VOC) Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, {"id": "2286602a560b0388ca002f7188ab10f2eecbd6d7", "title": "Stone tools from the ancient Tongan state reveal prehistoric interaction centers in the Central Pacific.", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2286/602a560b0388ca002f7188ab10f2eecbd6d7.pdf"], "doi": []}, {"id": "e0ee8a77119cc271f65d56ba5634bc13fa4b5afe", "title": "ENTREPRENEURIALISM MEETS THE SUSTAINABLE CITY: THE CASE OF LEXINGTON\u2019S TOWN BRANCH COMMONS", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ee/8a77119cc271f65d56ba5634bc13fa4b5afe.pdf"], "doi": []}, {"id": "57107fb094067f2c297e841a748d1b2662b8e8a4", "title": "Lorentz mapping of magnetic fields in hot dense plasmas.", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3179/43e39fba35cfb0cbe0488faa609a4d3e0cba.pdf"], "doi": []}, {"id": "6431476d45fb97a4aeb5c1ec82425ddb15de1180", "title": "Neuronal Plasticity and Multisensory Integration in Filial Imprinting", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6431/476d45fb97a4aeb5c1ec82425ddb15de1180.pdf"], "doi": []}, {"id": "23878dceae9115914879f239c2fd0e180c391c0d", "title": "Narrowing the Gap : Between the African-centered and Postmodernist Interpretations of Pan-Africanism in Contemporary Black-Atlantic Studies", "addresses": [{"name": "Kent State University", "source_name": "Kent State University", "street_adddress": "Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA", "lat": "41.14435250", "lng": "-81.33982833", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2387/8dceae9115914879f239c2fd0e180c391c0d.pdf"], "doi": []}, {"id": "1cdb75e76d247f706cf8ce1f227d3a7536a0a4af", "title": "Proposition of a Geotechnical Mapping Based on Artificial Neural Networks for the Town of Caucaia , Cear\u00e1 , Brazil for Paving Purposes", "addresses": [{"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cdb/75e76d247f706cf8ce1f227d3a7536a0a4af.pdf"], "doi": []}, {"id": "35ac0ca19c295dfca77bda36c9039d1282a46326", "title": "Best practices in family-centered early intervention for children who are deaf or hard of hearing: an international consensus statement.", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9d6a/d86deff54627339e0efa99108d97a7b57aef.pdf"], "doi": []}, {"id": "1b1dddff688fe7a19a228784866208d7ccf6b560", "title": "Mending a fractured landscape: balancing culture and nature in the vanishing mill town of Daniels, Maryland", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1b1d/ddff688fe7a19a228784866208d7ccf6b560.pdf"], "doi": []}, {"id": "371ffb63b0d93ae8418ab6d78d08867e6a48cd21", "title": "Decoherence, Autler-Townes effect, and dark states in two-tone driving of a three-level superconducting system", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["https://arxiv.org/pdf/1103.2223.pdf"], "doi": []}, {"id": "d737c2a0f9777feb52bfb90a84de6425a20a1bc0", "title": "Place-based education at the River Valley Outdoor Learning Center: Four students' stories", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d737/c2a0f9777feb52bfb90a84de6425a20a1bc0.pdf"], "doi": []}, {"id": "024a454de23682a2006e23e8fd9a2ad34cb9da60", "title": "Over Growth: a metabolic densification of Cape Town", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/024a/454de23682a2006e23e8fd9a2ad34cb9da60.pdf"], "doi": []}, {"id": "94e4e972a39333c6662e71a828b89074b283049d", "title": "Japanese media tourism as world-building: Akihabara\u2019s Electric Town and Ikebukuro\u2019s Maiden Road", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/94e4/e972a39333c6662e71a828b89074b283049d.pdf"], "doi": []}, {"id": "4bca8c72696ad703fa913bf50fadf342cb35126e", "title": "Exploring Intravaginal Ring Acceptability for Disease Prevention Among At-Risk Community Members in Cape Town", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bca/8c72696ad703fa913bf50fadf342cb35126e.pdf"], "doi": []}, {"id": "7c3f1879d91be898e1344e1d9c5ad7dd7846b6a6", "title": "Contesting Race in YouTube \u2019 s K-Town : \u201c It \u2019 s white people in Asian disguises \u201d", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7c3f/1879d91be898e1344e1d9c5ad7dd7846b6a6.pdf"], "doi": []}, {"id": "de19c7ed09ef4b6ad79b582346afe14c36121553", "title": "Saskatchewan Town Hall Opera Houses and Community Performance (ca. 1883-1913)", "addresses": [{"name": "University of Regina", "source_name": "University of Regina, Regina, Canada", "street_adddress": "3737 Wascana Pkwy, Regina, SK S4S 0A2, Canada", "lat": "50.41549260", "lng": "-104.58851280", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/de19/c7ed09ef4b6ad79b582346afe14c36121553.pdf"], "doi": []}, {"id": "e714e831034f041926d02c5c23bc8d3d55b583bf", "title": "Crime, fear of crime and social order in a post-war British new town : a humanistic contribution to environmental criminology", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/e714/e831034f041926d02c5c23bc8d3d55b583bf.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/pipa.json b/site/datasets/final/pipa.json index 7bdecc83..8abec0b4 100644 --- a/site/datasets/final/pipa.json +++ b/site/datasets/final/pipa.json @@ -1 +1 @@ -{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "dataset": {"key": "pipa", "name_short": "PIPA", "name_display": "PIPA Dataset", "name_full": "People in Photo Albums Dataset", "purpose": "Face recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://people.eecs.berkeley.edu/~nzhang/piper.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "37,107 ", "videos": "", "tracklets": "", "identities": "2,356 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "63,188 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "pose", "size_gb": "12", "agreement": "NA", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "Y", "berit": "Y", "charlie": "", "notes": "errors, berit, numbers, not outdoor cctv", "derivative_of": "", "": ""}, "paper": {"paper_id": "0a85bdff552615643dd74646ac881862a7c7072d", "key": "pipa", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "year": "2015", "pdf": [], "address": {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, "name": "PIPA", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "title": "A Domain Based Approach to Social Relation Recognition", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06456.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "b68150bfdec373ed8e025f448b7a3485c16e3201", "title": "Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09471.pdf"], "doi": []}, {"id": "8886b21f97c114a23b24dc7025bbf42885adc3a7", "title": "Privacy protection performance of De-identified face images with and without background", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://researchprofiles.herts.ac.uk/portal/files/10195320/UH_eval_deid_face_final.pdf", "https://uhra.herts.ac.uk/bitstream/handle/2299/20286/meng_et_al2.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522350", "http://doi.org/10.1109/MIPRO.2016.7522350"]}, {"id": "5f771fed91c8e4b666489ba2384d0705bcf75030", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03287.pdf"], "doi": []}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "title": "A Multi-level Contextual Model for Person Recognition in Photo Albums", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf", "http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_peoplerecognition.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780514", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.145", "http://doi.org/10.1109/CVPR.2016.145"]}, {"id": "6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19", "title": "Understanding Representations and Reducing their Redundancy in Deep Networks", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d8e/ef8f8d6cd8436c55018e6ca5c5907b31ac19.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "title": "A Hybrid Model for Identity Obfuscation by Face Replacement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04779.pdf"], "doi": []}, {"id": "5741454948c92d9d7a59f57772589681cde21943", "title": "Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies", "addresses": [{"name": "Indiana University Bloomington", "source_name": "Indiana University Bloomington", "street_adddress": "Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA", "lat": "39.17720475", "lng": "-86.51540030", "type": "edu", "country": "United States"}, {"name": "Microsoft Research India", "source_name": "Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India", "street_adddress": "9, Vigyan 1st floor, Lavelle Road, Bengaluru, Karnataka 560001, India", "lat": "12.96613000", "lng": "77.59629140", "type": "company", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264899"]}, {"id": "808b685d09912cbef4a009e74e10476304b4cccf", "title": "From Understanding to Controlling Privacy against Automatic Person Recognition in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/808b/685d09912cbef4a009e74e10476304b4cccf.pdf"], "doi": []}, {"id": "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "3c57e28a4eb463d532ea2b0b1ba4b426ead8d9a0", "title": "Defeating Image Obfuscation with Deep Learning", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00408.pdf"], "doi": []}, {"id": "0da75b0d341c8f945fae1da6c77b6ec345f47f2a", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People With Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0da7/5b0d341c8f945fae1da6c77b6ec345f47f2a.pdf"], "doi": []}, {"id": "a13d47bb8e5ebe741a57a6f963941aa638d88872", "title": "Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237660"]}, {"id": "ff1f45bdad41d8b35435098041e009627e60d208", "title": "From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.10442.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "269248eb8a44da5248cef840f7079b1294dbf237", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.01515.pdf"], "doi": []}, {"id": "c8b9217ee36aebb9735e525b718490dc27c8c1cb", "title": "Improving person recognition by weight adaptation of soft biometrics", "addresses": [{"name": "Amirkabir University of Technology (Tehran Polytechnic)", "source_name": "Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}, {"name": "Amirkabir University of Technology, Iran", "source_name": "Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802112"]}, {"id": "eb8a3948c4be0d23eb7326d27f2271be893b3409", "title": "A Probabilistic Approach to People-Centric Photo Selection and Sequencing", "addresses": [{"name": "Amazon, Berkshire, U.K.", "source_name": "Amazon, Berkshire, U.K.", "street_adddress": "Shell Slough East, 85 London Road, Slough SL3 7RS, United Kingdom", "lat": "51.50181500", "lng": "-0.56614500", "type": "company", "country": "United Kingdom"}, {"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Illinois\u2019 Advanced Digital Sciences Center", "source_name": "University of Illinois\u2019 Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914701", "http://doi.org/10.1109/TMM.2017.2699859"]}, {"id": "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "title": "A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab", "addresses": [{"name": "Facebook & Cornell University", "source_name": "Cornell University & Facebook Inc., New York, NY, USA", "street_adddress": "309 Ives Hall, Ithaca, NY 14853, United States", "lat": "42.44726000", "lng": "-76.48098800", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173789"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3d24b386d003bee176a942c26336dbe8f427aadd", "title": "Sequential Person Recognition in Photo Albums with a Recurrent Network", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09967.pdf"], "doi": []}, {"id": "503906ca940fa3b01e39d05879c9b6a36524aaf5", "title": "Natural and Effective Obfuscation by Head Inpainting", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute of Informatics", "source_name": "Max Planck Institute of Informatics and Saarland University", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}, {"name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "source_name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "street_adddress": "Avenue du Bourget 60, 1140 Bruxelles, Belgium", "lat": "50.87848020", "lng": "4.43486240", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578628"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "1451e7b11e66c86104f9391b80d9fb422fb11c01", "title": "Image privacy protection with secure JPEG transmorphing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1451/e7b11e66c86104f9391b80d9fb422fb11c01.pdf"], "doi": []}, {"id": "232f21aa133b75156665175158c65b89bded4032", "title": "Multi-Human Parsing Machines", "addresses": [{"name": "National University of Singapore & SAP Machine Learning", "source_name": "National University of Singapore & SAP Machine Learning, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240515"]}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "3960d8eef886562df7e9eb00e71e48b4a1175721", "title": "An Automated Perceptual Learning Algorithm for Determining Structure-Based Visual Prototypes of Objects from Internet-Scale Data", "addresses": [{"name": "University of California at Los Angeles (UCLA)", "source_name": "University of California at Los Angeles (UCLA), Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt5pk6p9w4/qt5pk6p9w4.pdf?t=nv6y2i"], "doi": ["https://www.base-search.net/Record/d6be1f9ab261433dcdff0e9709b12f47bf9908d0496c9d18b0349d47b04e4dc6"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "addresses": [{"name": "Artificial Intelligence Research Center, National Institute of AIST", "source_name": "Artificial Intelligence Research Center, National Institute of AIST, Japan", "street_adddress": "1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan", "lat": "36.06146340", "lng": "140.13389070", "type": "edu", "country": "Japan"}, {"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}, {"name": "Tsukuba University", "source_name": "Tsukuba University, Tsukuba, Japan", "street_adddress": "1 Chome-\uff11\u2212\uff11 Tennodai, Tsukuba, Ibaraki Prefecture 305-8577, Japan", "lat": "36.10882370", "lng": "140.10365200", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "title": "Inference Attacks Against Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "b64cfb39840969b1c769e336a05a30e7f9efcd61", "title": "CRF-Based Context Modeling for Person Identification in Broadcast Videos", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fde2/b8943eb429d35e649c56ce95658b44c49243.pdf"], "doi": []}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "e5751433d6957f0e807a8685eeb8e6e6c24dd892", "title": "Re-evaluating the health of coral reef communities: baselines and evidence for human impacts across the central Pacific.", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a2c1/d476a5ff96d0199ce6b834204a30a124bddb.pdf"], "doi": []}, {"id": "2a7058a720fa9da4b9b607ea00bfdb63652dff95", "title": "Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/Continuous%20Probability%20Distribution%20Prediction%20of%20Image%20Emotions%20via%20Multitask%20Shared%20Sparse%20Regression.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7590031", "http://doi.org/10.1109/TMM.2016.2617741"]}, {"id": "51eba481dac6b229a7490f650dff7b17ce05df73", "title": "Situation Recognition: Visual Semantic Role Labeling for Image Understanding", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780966"]}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "0705d00d7a9e1b5059c9cbf6f57caf1e93b63447", "title": "Xenopus in Space and Time: Fossils, Node Calibrations, Tip-Dating, and Paleobiogeography.", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0705/d00d7a9e1b5059c9cbf6f57caf1e93b63447.pdf"], "doi": []}, {"id": "c8a4b38913153611652038a29c8f88ef1ddaa5a7", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1d696a1beb42515ab16f3a9f6f72584a41492a03", "title": "Deeply learned face representations are sparse, selective, and robust", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1265.pdf"], "doi": []}, {"id": "26a6ee00528724c7b61e22cfe90b994523b88d00", "title": "Predicting discrete probability distribution of image emotions", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351244", "http://doi.org/10.1109/ICIP.2015.7351244"]}, {"id": "2e9530adc7f949f36736935bb654d781050e7ab3", "title": "Autonomous Vehicles Require Socio-Political Acceptance\u2014An Empirical and Philosophical Perspective on the Problem of Moral Decision Making", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e95/30adc7f949f36736935bb654d781050e7ab3.pdf"], "doi": []}, {"id": "2b7e18ecfa27cee95dbf8653b18d6d3cdbe80926", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "ccf8cc3b1ead41cbf4fddd77648a2e9538fb747a", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "338781e5236d5caf6254509bfa0f240ecf820872", "title": "Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05046.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "7ebb153704706e457ab57b432793d2b6e5d12592", "title": "Faces in Places: compound query retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf"], "doi": []}, {"id": "2a171f8d14b6b8735001a11c217af9587d095848", "title": "Learning Social Relation Traits from Face Images", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410771"]}, {"id": "75bb50373a11f9a6b058948869ed4c9f48d01a28", "title": "The blue paradox: Preemptive overfishing in marine reserves.", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75bb/50373a11f9a6b058948869ed4c9f48d01a28.pdf"], "doi": []}, {"id": "5cdda7283a03235386cc706f4e6d4ffe9b904d49", "title": "Adapting the Hypercube Model to Archive Deferred Representations and Their Descendants", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05142.pdf"], "doi": []}, {"id": "c8edff7b9eee5ba174a5188436f6f3707f16b7d4", "title": "Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}, {"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329511"]}, {"id": "75d7f05ab38afc0f9f5b59843f716586564bdccf", "title": "Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate", "addresses": [{"name": "Harbin University of Science and Technology", "source_name": "Harbin University of Science and Technology, China", "street_adddress": "52 Xuefu Rd, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150080", "lat": "45.71560600", "lng": "126.61466190", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75d7/f05ab38afc0f9f5b59843f716586564bdccf.pdf"], "doi": []}, {"id": "1b844eb1d8e3dba5a1a312507138007c32519368", "title": "iSyTE 2.0: a database for expression-based gene discovery in the eye", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b84/4eb1d8e3dba5a1a312507138007c32519368.pdf"], "doi": []}, {"id": "2bde99745ed5650cc7c79117d2699da757c66ef9", "title": "Going Dark: Social Factors in Collective Action Against Platform Operators in the Reddit Blackout", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858391"]}, {"id": "68b2c3d2b327c9d3f9a1c742cf805e568a36effc", "title": "Coherent neuronal ensembles are rapidly recruited when making a look-reach decision", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/wong_etal_2016.pdf"], "doi": ["https://doi.org/10.1038/nn.4210", "https://www.ncbi.nlm.nih.gov/pubmed/26752158"]}, {"id": "706e5d4460631f7aaeff7051062e7ca98f364ba3", "title": "Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task.", "addresses": [{"name": "Aix-Marseille Universit\u00e9", "source_name": "Centre de Physiques des Particules de Marseille, Aix-Marseille Universit\u00e9, CNRS/IN2P3, Marseilles, France", "street_adddress": "902, CEDEX, Case, 13288, 163 Avenue de Luminy, 13009 Marseille, France", "lat": "43.23086700", "lng": "5.44110700", "type": "edu", "country": "France"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/706e/5d4460631f7aaeff7051062e7ca98f364ba3.pdf"], "doi": []}, {"id": "416895a0513202bd7fed9eb0f841ca25cf126b19", "title": "Genome evolution in the allotetraploid frog Xenopus laevis", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Hokkaido University", "source_name": "Hokkaido University, Sapporo, Japan", "street_adddress": "5 Chome Kita 8 Jonishi, Kita, Sapporo, Hokkaido 060-0808, Japan", "lat": "43.07795750", "lng": "141.34001300", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}, {"name": "Tokushima University", "source_name": "Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan", "street_adddress": "2 Chome-24 Shinkuracho, Tokushima, Tokushima Prefecture 770-8501, Japan", "lat": "34.07010740", "lng": "134.55979330", "type": "edu", "country": "Japan"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Niigata University", "source_name": "Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan", "street_adddress": "\uff18\uff10\uff15\uff10 Ikarashi 2 Nocho, Nishi Ward, Niigata, Niigata Prefecture 950-2181, Japan", "lat": "37.86770880", "lng": "138.94189770", "type": "edu", "country": "Japan"}, {"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://mcb.berkeley.edu/labs/heald/Publications/PMC5313049.pdf", "http://www.marcottelab.org/users/paper-pdfs/Nature_XenopusGenome_2016.pdf", "http://www.nature.com/nature/journal/v538/n7625/pdf/nature19840.pdf"], "doi": ["https://doi.org/10.1038/nature19840", "https://www.ncbi.nlm.nih.gov/pubmed/27762356"]}, {"id": "3a61bf271578fbe54db27bc8df8d972a4fc69512", "title": "Blood Lead Levels and Cause-Specific Mortality of Inorganic Lead-Exposed Workers in South Korea", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}, {"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a61/bf271578fbe54db27bc8df8d972a4fc69512.pdf"], "doi": []}, {"id": "6a4a6fb44b6945d2bad440d648a6db32316c28e8", "title": "Evaluation of Atmospheric Correction Methods in Identifying Urban Tree Species With WorldView-2 Imagery", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6971089"]}, {"id": "67f0a231480fdfba856d4e0c4dfb162e50b75913", "title": "Information theoretic analysis of proprioceptive encoding during finger flexion in the monkey sensorimotor system", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67f0/a231480fdfba856d4e0c4dfb162e50b75913.pdf"], "doi": []}, {"id": "beb60be20e67d34f0ea76a7584fc76e9f1b32a36", "title": "A 3D multimodal approach to precisely locate DBS electrodes in the basal ganglia brain region", "addresses": [{"name": "University of Porto", "source_name": "University of Porto", "street_adddress": "Pra\u00e7a de Gomes Teixeira, 4099-002 Porto, Portugal", "lat": "41.14654790", "lng": "-8.61569980", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7146617"]}, {"id": "d596196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b", "title": "Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries", "addresses": [{"name": "Universidad Polit\u00e9cnica de Madrid", "source_name": "Group of Biometrics, Biosignals and Security, GB2S, Centro de Dom\u00f3tica Integral, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo. Pozuelo de Alarc\u00f3n, 28223, Madrid", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d596/196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b.pdf"], "doi": []}, {"id": "e5703de5395d28d3186827ca4eba1562e01aa272", "title": "Music identification based on music word model", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177492"]}, {"id": "04dccd10855ef6179f071e5878514e9e4eac4d55", "title": "Virus discovery in all three major lineages of terrestrial arthropods highlights the diversity of single-stranded DNA viruses associated with invertebrates", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "University of Vermont", "source_name": "University of Vermont", "street_adddress": "University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA", "lat": "44.48116865", "lng": "-73.20021790", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d645/4fa1b7e3eab72f0ae1e0e90d4055e1150f80.pdf"], "doi": []}, {"id": "1342e8e9001d704ad16be309116a5ec4851f81af", "title": "Decreased Modulation of EEG Oscillations in High-Functioning Autism during a Motor Control Task", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1342/e8e9001d704ad16be309116a5ec4851f81af.pdf"], "doi": []}, {"id": "c3d2b8856dd2f600680ffbaa98ba9a43b5e6f3bb", "title": "Human papillomavirus dysregulates the cellular apparatus controlling the methylation status of H3K27 in different human cancers to consistently alter gene expression regardless of tissue of origin", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c3d2/b8856dd2f600680ffbaa98ba9a43b5e6f3bb.pdf"], "doi": []}, {"id": "41968ce97d01c86a545da6f2bee1f462a04fa078", "title": "Analysis of Class I Major Histocompatibility Complex Gene Transcription in Human Tumors Caused by Human Papillomavirus Infection", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4196/8ce97d01c86a545da6f2bee1f462a04fa078.pdf"], "doi": []}, {"id": "c9280a577bec62b2ee4579059e504910a2f498ac", "title": "Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material", "addresses": [{"name": "Philipps-Universit\u00e4t Marburg", "source_name": "Philipps-Universit\u00e4t Marburg", "street_adddress": "FB 09 | Germanistik und Kunstwissenschaften (Dekanat), 3, Deutschhausstra\u00dfe, Biegenhausen, Biegenviertel, Marburg, Landkreis Marburg-Biedenkopf, Regierungsbezirk Gie\u00dfen, Hessen, 35037, Deutschland", "lat": "50.81427010", "lng": "8.77143500", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48db/5b7d6377eb3063e3dec93d900e803c07c83d.pdf"], "doi": []}, {"id": "11d0e36b575b3e5128b88fc26913c50f72182728", "title": "HeLa nucleic acid contamination in the cancer genome atlas leads to the misidentification of human papillomavirus 18.", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/11d0/e36b575b3e5128b88fc26913c50f72182728.pdf"], "doi": []}, {"id": "2e0ea7e2d38f95033f154d41285d63364a48cd24", "title": "Tumour virology in the era of high-throughput genomics", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2e0e/a7e2d38f95033f154d41285d63364a48cd24.pdf"], "doi": []}, {"id": "2a9a4cf568114aa9f1158b1f4b1403cf7f4d662a", "title": "Serum CA19-9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: implications for early disease detection.", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2a9a/4cf568114aa9f1158b1f4b1403cf7f4d662a.pdf"], "doi": []}, {"id": "33569dda09bb072a01a99830f7ef0970384c4bcc", "title": "A data science challenge for converting airborne remote sensing data into ecological information", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3356/9dda09bb072a01a99830f7ef0970384c4bcc.pdf"], "doi": []}, {"id": "a5469b4ec610f03367c5c75e3dc5d888f4370880", "title": "Triadobatrachus massinoti, the earliest known lissamphibian (Vertebrata: Tetrapoda) re-examined by \u03bcCT scan, and the evolution of trunk length in batrachians", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b4ebc439d8960f2aa3dcc8dc51bae40c8010.pdf"], "doi": []}, {"id": "8cb4afd7d9f5157772b47acea1a7642512eb23e1", "title": "The Information Network: Exploiting Causal Dependencies in Online Information Seeking", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854974"]}, {"id": "46e262db98c75b25b04b762242ab245cb914a875", "title": "Detection of time delays and directional interactions based on time series from complex dynamical systems.", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/46e2/62db98c75b25b04b762242ab245cb914a875.pdf"], "doi": []}, {"id": "9a7327569ff5e33257de322c9efc1f398fe2403f", "title": "Genetics, Morphology, Advertisement Calls, and Historical Records Distinguish Six New Polyploid Species of African Clawed Frog (Xenopus, Pipidae) from West and Central Africa.", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9a73/27569ff5e33257de322c9efc1f398fe2403f.pdf"], "doi": []}, {"id": "70e6413e2beaecbef06810955cef5d8a78d8d061", "title": "Cohesion, order and information flow in the collective motion of mixed-species shoals", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of New England", "source_name": "University of New England, Armidale, Australia", "street_adddress": "Armidale NSW 2351, Australia", "lat": "-30.48995350", "lng": "151.64101990", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e6/413e2beaecbef06810955cef5d8a78d8d061.pdf"], "doi": []}, {"id": "cd369a556eaadd2ba2b85994d3aae95d3a4e5923", "title": "Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7556386"]}, {"id": "2a55499130ce9984b998865349b9b8fc3104ef96", "title": "Information-Theoretic Evidence for Predictive Coding in the Face-Processing System.", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a55/499130ce9984b998865349b9b8fc3104ef96.pdf"], "doi": []}, {"id": "39ae101c4fd9cb0f8757852bd4804d8869fd2667", "title": "PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462173"]}, {"id": "cfdbedd78a8ecf6ce6b18faddf423477cdfec95d", "title": "PENGUKURAN VISKOSITAS NITROGEN MENGGUNAKAN METODE PIPA KAPILER PADA TEMPERATUR298 SAMPAI 500 K, DAN TEKANAN 5 SAMPAI 100 MPA", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cfdb/edd78a8ecf6ce6b18faddf423477cdfec95d.pdf"], "doi": []}, {"id": "13a8bba40126369f0e8a186834efb281bc65cc05", "title": "Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "f1b28c35819ae7878e3eec07da7d57c6efe45928", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity", "addresses": [{"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03113.pdf"], "doi": []}, {"id": "71ea7b9aa08abc716a593407b1623dc46c3e10ca", "title": "Persistent Memory in Single Node Delay-Coupled Reservoir Computing", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71ea/7b9aa08abc716a593407b1623dc46c3e10ca.pdf"], "doi": []}, {"id": "3e632bb55dd7947d764900dea74953502e8da485", "title": "Assessing Coupling Dynamics from an Ensemble of Time Series", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1008.0539.pdf"], "doi": []}, {"id": "0a526d4b21dde952d8659c046f6d8f511d8b9d9b", "title": "The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811915000804?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2015.01.054", "https://www.ncbi.nlm.nih.gov/pubmed/25680519", "https://www.wikidata.org/entity/Q35286768"]}, {"id": "0798f0433149cf3742267d3439dfbfea2a040427", "title": "A LuxR Homolog in a Cottonwood Tree Endophyte That Activates Gene Expression in Response to a Plant Signal or Specific Peptides", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0798/f0433149cf3742267d3439dfbfea2a040427.pdf"], "doi": []}, {"id": "47784794c88918ce94ba8995019f1f3e38fe791c", "title": "Galacto-Oligosaccharide/Polidextrose Enriched Formula Protects against Respiratory Infections in Infants at High Risk of Atopy: A Randomized Clinical Trial", "addresses": [{"name": "University of Padua", "source_name": "University of Padua, Italy. enrico.grisan@unipd.it", "street_adddress": "Via 8 Febbraio 1848, 2, 35122 Padova PD, Italy", "lat": "45.40676600", "lng": "11.87744620", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4778/4794c88918ce94ba8995019f1f3e38fe791c.pdf"], "doi": []}, {"id": "62c3fb2a12aa4a1697019867ab00ef370a93c34d", "title": "Photonic sensors: From horse racing to horse power", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}, {"name": "Federal University of Technology - Parana", "source_name": "Federal University of Technology - Parana, Brazil", "street_adddress": "R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, Curitiba - PR, 81280-340, Brazil", "lat": "-25.44341230", "lng": "-49.35348310", "type": "edu", "country": "Brazil"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961110"]}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "1b93a123d352ea09b4c8aaac933f1d4c8bd42009", "title": "PlaNet - Photo Geolocation with Convolutional Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.05314.pdf"], "doi": []}, {"id": "4131a42a3a9b60f01cef2d744c7f6debd1d2ee4a", "title": "Multigranular Event Recognition of Personal Photo Albums", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119855"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "f467eb5e7f9d49ab318401f961109882c00f2720", "title": "Face/Off: Preventing Privacy Leakage From Photos in Social Networks", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2813603"]}, {"id": "e7d7761ba516340457488955f3dd5959761bbfd0", "title": "Automatic triage for a photo series", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925908"]}, {"id": "aae1a3fff0da14919848a2a8592cd2f1f8ac495c", "title": "Photo collection contextualization", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169761"]}, {"id": "4556fd9fa338c65c27c7fac3afb8c6186d3807c5", "title": "Mining User Interests from Personal Photos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a47f/c06d1e1f9d0e4da1ad2dfd8c1de762d8b714.pdf"], "doi": []}, {"id": "6e0b1ea97421e080402a8db23358b01c04c905e5", "title": "Personalized Annotation for Mobile Photos Based on User's Social Circle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-27671-7_7"]}, {"id": "8598aadd321752e7e767fc3c608706f9104fd0e0", "title": "Photo annotation: a survey", "addresses": [{"name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "street_adddress": "Av. Colares Moreira, 477 - Jardim Renascenca, S\u00e3o Lu\u00eds - MA, 65075-441, Brazil", "lat": "-2.49930740", "lng": "-44.28597080", "type": "edu", "country": "Brazil"}, {"name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "street_adddress": "Av. Primeiro de Maio, 720 - Jaguaribe, Jo\u00e3o Pessoa - PB, 58015-435, Brazil", "lat": "-7.13564960", "lng": "-34.87390450", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}, {"name": "University of Campina Grande", "source_name": "Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil", "street_adddress": "Rua Apr\u00edgio Veloso, 882 Universit\u00e1rio 58429-900 - Federal University of Campina Grande, PB, Brazil", "lat": "-7.21248510", "lng": "-35.90736510", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4281-6"]}, {"id": "8c194fdcc1596a988ae1d1d501ed9849d200bdd9", "title": "Intelligent organization of multiuser photo galleries using sub-event detection", "addresses": [{"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275347"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "fe33597affd4e99a5dc979ef4ed99ee6311fdc2b", "title": "Hierarchical Photo-Scene Encoder for Album Storytelling", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00669.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "52d88f1bd669e6736bd7ef945d451841f9b9fd78", "title": "Travel photo album summarization based on aesthetic quality, interestingness, and memorableness", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820889"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "bed777206e903cbe92c71808627a3bfed5701f5e", "title": "AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742843"]}, {"id": "ea97d02baaadad2bc7a01f3faad397e28f28d74b", "title": "Abnormal Event Discovery in User Generated Photos", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2975215"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "fa46cc90577f92269fc03bf20ba07c0c91676839", "title": "Learning personalized expectation-oriented photo selection models for personal photo collections", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169813"]}, {"id": "51d2f04db96856d0da974893223d0659a4b53161", "title": "NowAndThen: a social network-based photo recommendation tool supporting reminiscence", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}, {"name": "University of Science", "source_name": "University of Science, Ho Chi Minh city, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3012738"]}, {"id": "78baffa12bbebcd0b615fac80c2df6d3f05c4261", "title": "From Uncertain Photos to Certain Coverage: a Novel Photo Selection Approach to Mobile Crowdsensing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485969"]}, {"id": "4503374b7a8b342d262aef220a4ecf00f8f28fd8", "title": "Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240624"]}, {"id": "b5647cbbfdc7d1ee91a8ec264b200b66afd7b8b2", "title": "A Dataset for Telling the Stories of Social Media Videos", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b564/7cbbfdc7d1ee91a8ec264b200b66afd7b8b2.pdf"], "doi": []}, {"id": "05d082daa3e6f86adeb78b26e8cf07b94b418377", "title": "Photo Selection for Family Album using Deep Neural Networks", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3209697"]}, {"id": "ed9869f749d1f5d0752251c492c3389cf944707b", "title": "Exploring the heterogeneity of social media: dataset and a pilot study", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808568"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d284dd84e5675e33b561f183f22fc817ef113890", "title": "Monet: A System for Reliving Your Memories by Theme-Based Photo Storytelling", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7577751"]}, {"id": "a3b5b2558cf3905bfeba07e1bda3ff87b07d3581", "title": "Event recognition in personal photo collections using hierarchical model and multiple features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340864"]}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "b5dbffb3a07153c5428d7752cb06b545cb083e5f", "title": "All the people around me: Face discovery in egocentric photo-streams", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296500"]}, {"id": "e29ba8930f379245035ff7d33b5693592ee491aa", "title": "Discriminative subgraphs for discovering family photos", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s41095-016-0054-4"]}, {"id": "2257a49262f7d2fa3980dbf1567ca9be728a21ee", "title": "To Keep or not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749372"]}, {"id": "8bc5d06d2a6033ecfb39d373a663bee2b28fee52", "title": "CrowdBuy: Privacy-friendly Image Dataset Purchasing via Crowdsourcing", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485902"]}, {"id": "8db8cb025e30552524738ddfc7db1143e92be06b", "title": "Investigating human behaviors in selecting personal photos to preserve memories", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169750"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "f6e3638e4b3684f40b39c7316c29539b2c0d2357", "title": "RingIt: Ring-Ordering Casual Photos of a Temporal Event", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2735628"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "6f911cb4b7c83baf67d2c262558535d360d37a3d", "title": "Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2788569"]}, {"id": "31317c7956d5841f728364a96a54578e7118a310", "title": "Assisted journey recollections from photo streams: (demo paper)", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996955"]}, {"id": "c370f762968f6379c2cda1e18e71334494aa3b72", "title": "Photo linker: a system for finding your old photos based on fragmentary memories", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808550"]}, {"id": "b8218640e95bb2d925a617b1c3012eed7d209351", "title": "Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/977b/eecdf0b5c3487d03738cff501c79770f0858.pdf"], "doi": []}, {"id": "42b4e10215c58f47bf8917f1a84ed82803bf6ee1", "title": "Are People Really Social in Porn 2.0?", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/80a4/9380102b85b8509bdecbb024f24a5d2d2d42.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "132b44b95cd0bfe4b6a2d4dfeba1858411f0271d", "title": "Mixed-Ability Collaboration for Accessible Photo Sharing", "addresses": [{"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240994"]}, {"id": "4cb852b0893edcf895aeccfb4e03055073777f5e", "title": "Collaborative filtering motivated automatic photo tagging", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8029111"]}, {"id": "70f7bcfe2ce3789e62846c73e98feeaa319135e5", "title": "Learning Deep Contextual Attention Network for Narrative Photo Stream Captioning", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126715"]}, {"id": "b95e1db112a14f4fbf8f3a993f9874abd01e915e", "title": "Photo Squarization by Deep Multi-Operator Retargeting", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240623"]}, {"id": "e334ce0b335cfe9185e9aeaeb851673ae480d186", "title": "Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image Hashing", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123446"]}, {"id": "7dc62564a31cde5f581df4891785708eeec65d2a", "title": "From Same Photo: Cheating on Visual Kinship Challenges", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06200.pdf"], "doi": []}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "77c512cbb832436e1a35ad434e6bb3d763799763", "title": "A Neural Algorithm of Artistic Style", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.06576.pdf"], "doi": []}, {"id": "5287d8fef49b80b8d500583c07e935c7f9798933", "title": "Generative Adversarial Text to Image Synthesis", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05396.pdf"], "doi": []}, {"id": "a16bfc3175ceaced58c81ef52c5dc29ba885a1a4", "title": "Geospatial Access to Lifelogging Photos in Virtual Reality", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210547"]}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e", "title": "Deep Aging Face Verification With Large Gaps", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "North Acton, London", "source_name": "North Acton, London", "street_adddress": "North Acton, Victoria Road, Acton, London Borough of Ealing, London, Greater London, England, W3 6UP, UK", "lat": "51.52344665", "lng": "-0.25973535", "type": "edu", "country": "United Kingdom"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328752", "http://doi.org/10.1109/TMM.2015.2500730"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "101c7bfc56091b627886636afcf1103c1cecccf6", "title": "Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749318"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "11682c651ed0ca264476fa5b2d8c01cf16b365a1", "title": "Weather-to-garment: Weather-oriented clothing recommendation", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019476"]}, {"id": "1d3dd9aba79a53390317ec1e0b7cd742cba43132", "title": "A maximum entropy feature descriptor for age invariant face recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/Gong_A_Maximum_Entropy_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299166", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299166", "http://doi.org/10.1109/CVPR.2015.7299166"]}, {"id": "0086a67895924c5fea6ca59c74c7323a1db97def", "title": "Visual Mementos: Reflecting Memories with Personal Data", "addresses": [{"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7192708"]}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "38eef5352904f7b38e4736c07db175ef93db31b9", "title": "Children Seen But Not Heard: When Parents Compromise Children's Online Privacy", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2741124"]}, {"id": "61bd0aea6a9442a11c0e1e4973d7620b072ad203", "title": "Significance and popularity in music production", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7f78/7cb6cb88a5d5cbebd91b5cdd88f38e859799.pdf"], "doi": []}, {"id": "493dd416b844e84f322ce98c4cb80ee739fea613", "title": "Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069201"]}, {"id": "3e63cc52832039f6d5b004687b2ffbfdfc62a865", "title": "FingerReader: A Wearable Device to Explore Printed Text on the Go", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702421"]}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "2532deb05cc053aa3a6ee3b2c0c2cf518bd3ed72", "title": "Privacy Protection for Preventing Data Over-Collection in Smart City", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Pace University", "source_name": "Pace University, New York, USA", "street_adddress": "1 Pace Plaza, New York, NY 10038, USA", "lat": "40.71111970", "lng": "-74.00485670", "type": "edu", "country": "United States"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7210166"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "0a8214783a262dced7e6c21bc6b02486d86d9250", "title": "Streaming data analytics for anomalies in graphs", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7225259"]}, {"id": "40a4ed38493170fdcd071ce32c1e493743dbc455", "title": "Modeling Perspective Effects in Photographic Composition", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806248"]}, {"id": "591f04d62f44c22d1d82c9e074b066c21b420394", "title": "Learning What and Where to Draw", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02454.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "f63856b44acca90c55d329e6fbfcadc631a6ce6f", "title": "Interactive Trip Planning Using Activity Trajectories", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015030"]}, {"id": "560d04dd444f16ee7ddc81f4bba356a6b2e0ec2c", "title": "Adaptive Greedy Dictionary Selection for Web Media Summarization", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600373"]}, {"id": "f2943bb22c1321cc06c0f65ec4f99ccd8a33363a", "title": "Automatic Discovery and Optimization of Parts for Image Classification", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6598.pdf"], "doi": []}, {"id": "7173a58ce542b8ec0f8a9439a0013bd8c5640c6d", "title": "Farmlands with smaller crop fields have higher within-field biodiversity", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.glel.carleton.ca/PDF/webDump/15FahrigetalAgEcosysEnvir.pdf"], "doi": ["https://doi.org/10.1016/j.agee.2014.11.018"]}, {"id": "62bfdedb87d1fed25eb5aa1bc6ff546c70a0ba6a", "title": "The LDBC Social Network Benchmark: Interactive Workload", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742786"]}, {"id": "b3cff07ea29a9019722c09a89ee969d9ac31329c", "title": "Risk Assessment in Social Networks Based on User Anomalous Behaviors", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430280"]}, {"id": "8a2601bb950665d6d69b0bfda0690537669f2376", "title": "Knowledge Discovery In GIS Data", "addresses": [{"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07241.pdf"], "doi": []}, {"id": "0cb0a2b5dac0972fa6388b2f31f76c89455a10db", "title": "\"I Added '!' at the End to Make It Secure\": Observing Password Creation in the Lab", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0cb0/a2b5dac0972fa6388b2f31f76c89455a10db.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0", "title": "Who Are Your \u201cReal\u201d Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801826", "http://doi.org/10.1109/TMM.2016.2646181"]}, {"id": "843c138978d012e9a683c9595ad4cad9fb02749d", "title": "Translating Videos to Natural Language Using Deep Recurrent Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.4729.pdf"], "doi": []}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "301cbaa07dc2b98baa574a126971b6402dbb91a9", "title": "Camera as weather sensor: Estimating weather information from single images", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://www.cs.ccu.edu.tw/~wtchu/papers/2017JVCI-chu.pdf"], "doi": ["https://doi.org/10.1016/j.jvcir.2017.04.002"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "e5c061593e90adb6c39fd4efe1f802dc5fc1268c", "title": "Deep Learning for Content-Based, Cross-Modal Retrieval of Videos and Music", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e5c0/61593e90adb6c39fd4efe1f802dc5fc1268c.pdf"], "doi": []}, {"id": "f25ec66a87367fbfe59081358eb82f8bab21c8eb", "title": "SnapVideo: Personalized Video Generation for a Sightseeing Trip", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516655"]}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "75a47284526ce7f7a0961e0d8ee611459fac0492", "title": "Has Instagram Fundamentally Altered the 'Family Snapshot'?", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025928"]}]} \ No newline at end of file +{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "dataset": {"key": "pipa", "name_short": "PIPA", "name_display": "PIPA Dataset", "name_full": "People in Photo Albums Dataset", "purpose": "Face recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://people.eecs.berkeley.edu/~nzhang/piper.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "37,107 ", "videos": "", "tracklets": "", "identities": "2,356 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "63,188 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "pose", "size_gb": "12", "agreement": "NA", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "Y", "berit": "Y", "charlie": "", "notes": "errors, berit, numbers, not outdoor cctv", "derivative_of": "", "": ""}, "paper": {"paper_id": "0a85bdff552615643dd74646ac881862a7c7072d", "key": "pipa", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "year": "2015", "pdf": [], "address": {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, "name": "PIPA", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "title": "A Domain Based Approach to Social Relation Recognition", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06456.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "b68150bfdec373ed8e025f448b7a3485c16e3201", "title": "Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09471.pdf"], "doi": []}, {"id": "8886b21f97c114a23b24dc7025bbf42885adc3a7", "title": "Privacy protection performance of De-identified face images with and without background", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://researchprofiles.herts.ac.uk/portal/files/10195320/UH_eval_deid_face_final.pdf", "https://uhra.herts.ac.uk/bitstream/handle/2299/20286/meng_et_al2.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522350", "http://doi.org/10.1109/MIPRO.2016.7522350"]}, {"id": "5f771fed91c8e4b666489ba2384d0705bcf75030", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03287.pdf"], "doi": []}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "0b84f07af44f964817675ad961def8a51406dd2e", "title": "Person Re-identification in the Wild", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099840"]}, {"id": "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "title": "A Multi-level Contextual Model for Person Recognition in Photo Albums", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf", "http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_peoplerecognition.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780514", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.145", "http://doi.org/10.1109/CVPR.2016.145"]}, {"id": "6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19", "title": "Understanding Representations and Reducing their Redundancy in Deep Networks", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d8e/ef8f8d6cd8436c55018e6ca5c5907b31ac19.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "title": "A Hybrid Model for Identity Obfuscation by Face Replacement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04779.pdf"], "doi": []}, {"id": "5741454948c92d9d7a59f57772589681cde21943", "title": "Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies", "addresses": [{"name": "Indiana University Bloomington", "source_name": "Indiana University Bloomington", "street_adddress": "Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA", "lat": "39.17720475", "lng": "-86.51540030", "type": "edu", "country": "United States"}, {"name": "Microsoft Research India", "source_name": "Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India", "street_adddress": "9, Vigyan 1st floor, Lavelle Road, Bengaluru, Karnataka 560001, India", "lat": "12.96613000", "lng": "77.59629140", "type": "company", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3264899"]}, {"id": "808b685d09912cbef4a009e74e10476304b4cccf", "title": "From Understanding to Controlling Privacy against Automatic Person Recognition in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/808b/685d09912cbef4a009e74e10476304b4cccf.pdf"], "doi": []}, {"id": "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "3c57e28a4eb463d532ea2b0b1ba4b426ead8d9a0", "title": "Defeating Image Obfuscation with Deep Learning", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00408.pdf"], "doi": []}, {"id": "0da75b0d341c8f945fae1da6c77b6ec345f47f2a", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People With Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0da7/5b0d341c8f945fae1da6c77b6ec345f47f2a.pdf"], "doi": []}, {"id": "a13d47bb8e5ebe741a57a6f963941aa638d88872", "title": "Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237660"]}, {"id": "ff1f45bdad41d8b35435098041e009627e60d208", "title": "From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.10442.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "269248eb8a44da5248cef840f7079b1294dbf237", "title": "The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.01515.pdf"], "doi": []}, {"id": "c8b9217ee36aebb9735e525b718490dc27c8c1cb", "title": "Improving person recognition by weight adaptation of soft biometrics", "addresses": [{"name": "Amirkabir University of Technology (Tehran Polytechnic)", "source_name": "Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}, {"name": "Amirkabir University of Technology, Iran", "source_name": "Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u062a\u0647\u0631\u0627\u0646 \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646\u060c\u060c Rasht St, Iran", "lat": "35.70408610", "lng": "51.40916930", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802112"]}, {"id": "eb8a3948c4be0d23eb7326d27f2271be893b3409", "title": "A Probabilistic Approach to People-Centric Photo Selection and Sequencing", "addresses": [{"name": "Amazon, Berkshire, U.K.", "source_name": "Amazon, Berkshire, U.K.", "street_adddress": "Shell Slough East, 85 London Road, Slough SL3 7RS, United Kingdom", "lat": "51.50181500", "lng": "-0.56614500", "type": "company", "country": "United Kingdom"}, {"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "University of Illinois\u2019 Advanced Digital Sciences Center", "source_name": "University of Illinois\u2019 Advanced Digital Sciences Center, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914701", "http://doi.org/10.1109/TMM.2017.2699859"]}, {"id": "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "title": "A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab", "addresses": [{"name": "Facebook & Cornell University", "source_name": "Cornell University & Facebook Inc., New York, NY, USA", "street_adddress": "309 Ives Hall, Ithaca, NY 14853, United States", "lat": "42.44726000", "lng": "-76.48098800", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173789"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3d24b386d003bee176a942c26336dbe8f427aadd", "title": "Sequential Person Recognition in Photo Albums with a Recurrent Network", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09967.pdf"], "doi": []}, {"id": "503906ca940fa3b01e39d05879c9b6a36524aaf5", "title": "Natural and Effective Obfuscation by Head Inpainting", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute of Informatics", "source_name": "Max Planck Institute of Informatics and Saarland University", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}, {"name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "source_name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "street_adddress": "Avenue du Bourget 60, 1140 Bruxelles, Belgium", "lat": "50.87848020", "lng": "4.43486240", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578628"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "1451e7b11e66c86104f9391b80d9fb422fb11c01", "title": "Image privacy protection with secure JPEG transmorphing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1451/e7b11e66c86104f9391b80d9fb422fb11c01.pdf"], "doi": []}, {"id": "232f21aa133b75156665175158c65b89bded4032", "title": "Multi-Human Parsing Machines", "addresses": [{"name": "National University of Singapore & SAP Machine Learning", "source_name": "National University of Singapore & SAP Machine Learning, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240515"]}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "3960d8eef886562df7e9eb00e71e48b4a1175721", "title": "An Automated Perceptual Learning Algorithm for Determining Structure-Based Visual Prototypes of Objects from Internet-Scale Data", "addresses": [{"name": "University of California at Los Angeles (UCLA)", "source_name": "University of California at Los Angeles (UCLA), Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt5pk6p9w4/qt5pk6p9w4.pdf?t=nv6y2i"], "doi": ["https://www.base-search.net/Record/d6be1f9ab261433dcdff0e9709b12f47bf9908d0496c9d18b0349d47b04e4dc6"]}, {"id": "a1e97c4043d5cc9896dc60ae7ca135782d89e5fc", "title": "Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02155.pdf"], "doi": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "addresses": [{"name": "Artificial Intelligence Research Center, National Institute of AIST", "source_name": "Artificial Intelligence Research Center, National Institute of AIST, Japan", "street_adddress": "1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan", "lat": "36.06146340", "lng": "140.13389070", "type": "edu", "country": "Japan"}, {"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}, {"name": "Tsukuba University", "source_name": "Tsukuba University, Tsukuba, Japan", "street_adddress": "1 Chome-\uff11\u2212\uff11 Tennodai, Tsukuba, Ibaraki Prefecture 305-8577, Japan", "lat": "36.10882370", "lng": "140.10365200", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"], "doi": []}, {"id": "2b339ece73e3787f445c5b92078e8f82c9b1c522", "title": "Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.crcv.ucf.edu/papers/eccv2016/AssariIdreesShah_ECCV16_ReIdCrowds.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_CrowdPSE_ECCV_2016.pdf", "http://www.eccv2016.org/files/posters/P-1B-12.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46475-6_8"]}, {"id": "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "title": "Inference Attacks Against Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "b64cfb39840969b1c769e336a05a30e7f9efcd61", "title": "CRF-Based Context Modeling for Person Identification in Broadcast Videos", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fde2/b8943eb429d35e649c56ce95658b44c49243.pdf"], "doi": []}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "0a85bdff552615643dd74646ac881862a7c7072d", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299113"]}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "title": "Scalable Person Re-identification: A Benchmark", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410490"]}, {"id": "e5751433d6957f0e807a8685eeb8e6e6c24dd892", "title": "Re-evaluating the health of coral reef communities: baselines and evidence for human impacts across the central Pacific.", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "San Diego State University", "source_name": "San Diego State University, San Diego, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77572170", "lng": "-117.07188930", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a2c1/d476a5ff96d0199ce6b834204a30a124bddb.pdf"], "doi": []}, {"id": "2a7058a720fa9da4b9b607ea00bfdb63652dff95", "title": "Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/Continuous%20Probability%20Distribution%20Prediction%20of%20Image%20Emotions%20via%20Multitask%20Shared%20Sparse%20Regression.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7590031", "http://doi.org/10.1109/TMM.2016.2617741"]}, {"id": "51eba481dac6b229a7490f650dff7b17ce05df73", "title": "Situation Recognition: Visual Semantic Role Labeling for Image Understanding", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780966"]}, {"id": "b0fa513de3a03a32de0747ab488b5c3a99fd7843", "title": "Phylogenomics reveals rapid, simultaneous diversification of three major clades of Gondwanan frogs at the Cretaceous-Paleogene boundary.", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/574c/ed3e56c8aab7293fa1f42ac81d73dbdaeb7f.pdf"], "doi": []}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "0705d00d7a9e1b5059c9cbf6f57caf1e93b63447", "title": "Xenopus in Space and Time: Fossils, Node Calibrations, Tip-Dating, and Paleobiogeography.", "addresses": [{"name": "University of Texas", "source_name": "The University of Texas", "street_adddress": "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "lat": "32.31630780", "lng": "-95.25369944", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0705/d00d7a9e1b5059c9cbf6f57caf1e93b63447.pdf"], "doi": []}, {"id": "c8a4b38913153611652038a29c8f88ef1ddaa5a7", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "1d696a1beb42515ab16f3a9f6f72584a41492a03", "title": "Deeply learned face representations are sparse, selective, and robust", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1265.pdf"], "doi": []}, {"id": "26a6ee00528724c7b61e22cfe90b994523b88d00", "title": "Predicting discrete probability distribution of image emotions", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351244", "http://doi.org/10.1109/ICIP.2015.7351244"]}, {"id": "2e9530adc7f949f36736935bb654d781050e7ab3", "title": "Autonomous Vehicles Require Socio-Political Acceptance\u2014An Empirical and Philosophical Perspective on the Problem of Moral Decision Making", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e95/30adc7f949f36736935bb654d781050e7ab3.pdf"], "doi": []}, {"id": "2b7e18ecfa27cee95dbf8653b18d6d3cdbe80926", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "ccf8cc3b1ead41cbf4fddd77648a2e9538fb747a", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "338781e5236d5caf6254509bfa0f240ecf820872", "title": "Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05046.pdf"], "doi": []}, {"id": "1db5d63aaaa739d36d3dcb7fd17b2f0775ade681", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "d20b7758bfde707115044ad2797cee8d5a988c45", "title": "Phylotranscriptomic consolidation of the jawed vertebrate timetree", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "University of Li\u00e8ge", "source_name": "Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Li\u00e8ge, Li\u00e8ge, Belgium", "street_adddress": "Grande Traverse 10, 4000 Li\u00e8ge, Belgium", "lat": "50.58596690", "lng": "5.56011930", "type": "edu", "country": "Belgium"}], "year": "2017", "pdf": ["http://www.evolutionsbiologie-uni-konstanz.com/uploads/7/7/7/4/77747518/irisarri_et_al._2017_nature_ecol_evol.pdf"], "doi": ["https://doi.org/10.1038/s41559-017-0240-5", "https://www.ncbi.nlm.nih.gov/pubmed/28890940"]}, {"id": "7ebb153704706e457ab57b432793d2b6e5d12592", "title": "Faces in Places: compound query retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7ebb/153704706e457ab57b432793d2b6e5d12592.pdf"], "doi": []}, {"id": "2a171f8d14b6b8735001a11c217af9587d095848", "title": "Learning Social Relation Traits from Face Images", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410771"]}, {"id": "d944acffb62b321ae86324b90b3f538805494ec0", "title": "The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut", "addresses": [{"name": "University of Bras\u00edlia", "source_name": "University of Bras\u00edlia, DF, Brazil 70910-900", "street_adddress": "Brasilia - Federal District, 70910-900, Brazil", "lat": "-15.76315730", "lng": "-47.87063110", "type": "edu", "country": "Brazil"}, {"name": "Iowa State University", "source_name": "Iowa State University", "street_adddress": "Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA", "lat": "42.02791015", "lng": "-93.64464415", "type": "edu", "country": "United States"}, {"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://oar.icrisat.org/9364/1/ng.3517.pdf"], "doi": ["https://doi.org/10.1038/ng.3517", "https://www.ncbi.nlm.nih.gov/pubmed/26901068"]}, {"id": "75bb50373a11f9a6b058948869ed4c9f48d01a28", "title": "The blue paradox: Preemptive overfishing in marine reserves.", "addresses": [{"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75bb/50373a11f9a6b058948869ed4c9f48d01a28.pdf"], "doi": []}, {"id": "cd4be6f12a105909a3145b2a30bc2fbaf66bd584", "title": "Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States.", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of New Mexico", "source_name": "Literacy, and Sociocultural Studies, University of New Mexico, United States", "street_adddress": "Albuquerque, NM 87131, USA", "lat": "35.08431870", "lng": "-106.61978120", "type": "edu", "country": "United States"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3dc/51153f555f202bf216cfbfc255c95c16f05d.pdf"], "doi": []}, {"id": "5cdda7283a03235386cc706f4e6d4ffe9b904d49", "title": "Adapting the Hypercube Model to Archive Deferred Representations and Their Descendants", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05142.pdf"], "doi": []}, {"id": "c8edff7b9eee5ba174a5188436f6f3707f16b7d4", "title": "Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration", "addresses": [{"name": "Bo\u011fazi\u00e7i University", "source_name": "Bo\u011fazi\u00e7i University, Bebek, Istanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}, {"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329511"]}, {"id": "75d7f05ab38afc0f9f5b59843f716586564bdccf", "title": "Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate", "addresses": [{"name": "Harbin University of Science and Technology", "source_name": "Harbin University of Science and Technology, China", "street_adddress": "52 Xuefu Rd, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150080", "lat": "45.71560600", "lng": "126.61466190", "type": "edu", "country": "China"}, {"name": "Harbin Engineering University", "source_name": "Harbin Engineering University", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66, \u6587\u5e99\u8857 - Wenmiao Street, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.77445695", "lng": "126.67684917", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/75d7/f05ab38afc0f9f5b59843f716586564bdccf.pdf"], "doi": []}, {"id": "1b844eb1d8e3dba5a1a312507138007c32519368", "title": "iSyTE 2.0: a database for expression-based gene discovery in the eye", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b84/4eb1d8e3dba5a1a312507138007c32519368.pdf"], "doi": []}, {"id": "4d4b48daa6e19d661acdda1a870875c2e82b5dc9", "title": "Competition and feeding ecology in two sympatric Xenopus species (Anura: Pipidae)", "addresses": [{"name": "Stellenbosch University", "source_name": "Stellenbosch University, South Africa", "street_adddress": "Stellenbosch Central, Stellenbosch, South Africa", "lat": "-33.93280780", "lng": "18.86444700", "type": "edu", "country": "South Africa"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d4b/48daa6e19d661acdda1a870875c2e82b5dc9.pdf"], "doi": []}, {"id": "2bde99745ed5650cc7c79117d2699da757c66ef9", "title": "Going Dark: Social Factors in Collective Action Against Platform Operators in the Reddit Blackout", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858391"]}, {"id": "68b2c3d2b327c9d3f9a1c742cf805e568a36effc", "title": "Coherent neuronal ensembles are rapidly recruited when making a look-reach decision", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/wong_etal_2016.pdf"], "doi": ["https://doi.org/10.1038/nn.4210", "https://www.ncbi.nlm.nih.gov/pubmed/26752158"]}, {"id": "6fa350c3b8d8019b3568f318edca22b2d5ce1ec9", "title": "Bilevel Optimization with Nonsmooth Lower Level Problems", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2015", "pdf": ["http://lmb.informatik.uni-freiburg.de/Publications/2015/OB15a/ochs_ssvm2015_bilevel.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-18461-6_52"]}, {"id": "a7dc78dc9a5afbbb25263752579bc5cc7e625f47", "title": "LincRNA-Gm4419 knockdown ameliorates NF-\u03baB/NLRP3 inflammasome-mediated inflammation in diabetic nephropathy", "addresses": [{"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.nature.com/articles/cddis2016451.pdf?code=e02f406e-e495-4a86-a80f-535e9298c837&error=cookies_not_supported"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28151474", "https://doi.org/10.1038/cddis.2016.451"]}, {"id": "706e5d4460631f7aaeff7051062e7ca98f364ba3", "title": "Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task.", "addresses": [{"name": "Aix-Marseille Universit\u00e9", "source_name": "Centre de Physiques des Particules de Marseille, Aix-Marseille Universit\u00e9, CNRS/IN2P3, Marseilles, France", "street_adddress": "902, CEDEX, Case, 13288, 163 Avenue de Luminy, 13009 Marseille, France", "lat": "43.23086700", "lng": "5.44110700", "type": "edu", "country": "France"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/706e/5d4460631f7aaeff7051062e7ca98f364ba3.pdf"], "doi": []}, {"id": "416895a0513202bd7fed9eb0f841ca25cf126b19", "title": "Genome evolution in the allotetraploid frog Xenopus laevis", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Hokkaido University", "source_name": "Hokkaido University, Sapporo, Japan", "street_adddress": "5 Chome Kita 8 Jonishi, Kita, Sapporo, Hokkaido 060-0808, Japan", "lat": "43.07795750", "lng": "141.34001300", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}, {"name": "Tokushima University", "source_name": "Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan", "street_adddress": "2 Chome-24 Shinkuracho, Tokushima, Tokushima Prefecture 770-8501, Japan", "lat": "34.07010740", "lng": "134.55979330", "type": "edu", "country": "Japan"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Niigata University", "source_name": "Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan", "street_adddress": "\uff18\uff10\uff15\uff10 Ikarashi 2 Nocho, Nishi Ward, Niigata, Niigata Prefecture 950-2181, Japan", "lat": "37.86770880", "lng": "138.94189770", "type": "edu", "country": "Japan"}, {"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://mcb.berkeley.edu/labs/heald/Publications/PMC5313049.pdf", "http://www.marcottelab.org/users/paper-pdfs/Nature_XenopusGenome_2016.pdf", "http://www.nature.com/nature/journal/v538/n7625/pdf/nature19840.pdf"], "doi": ["https://doi.org/10.1038/nature19840", "https://www.ncbi.nlm.nih.gov/pubmed/27762356"]}, {"id": "4e7942a35fedc6bcb8a973608809f798a8d182bf", "title": "Multi-Granularity Reasoning for Social Relation Recognition from Images", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.03067.pdf"], "doi": []}, {"id": "3a61bf271578fbe54db27bc8df8d972a4fc69512", "title": "Blood Lead Levels and Cause-Specific Mortality of Inorganic Lead-Exposed Workers in South Korea", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}, {"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3a61/bf271578fbe54db27bc8df8d972a4fc69512.pdf"], "doi": []}, {"id": "6a4a6fb44b6945d2bad440d648a6db32316c28e8", "title": "Evaluation of Atmospheric Correction Methods in Identifying Urban Tree Species With WorldView-2 Imagery", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6971089"]}, {"id": "67f0a231480fdfba856d4e0c4dfb162e50b75913", "title": "Information theoretic analysis of proprioceptive encoding during finger flexion in the monkey sensorimotor system", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/67f0/a231480fdfba856d4e0c4dfb162e50b75913.pdf"], "doi": []}, {"id": "beb60be20e67d34f0ea76a7584fc76e9f1b32a36", "title": "A 3D multimodal approach to precisely locate DBS electrodes in the basal ganglia brain region", "addresses": [{"name": "University of Porto", "source_name": "University of Porto", "street_adddress": "Pra\u00e7a de Gomes Teixeira, 4099-002 Porto, Portugal", "lat": "41.14654790", "lng": "-8.61569980", "type": "edu", "country": "Portugal"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7146617"]}, {"id": "d596196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b", "title": "Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries", "addresses": [{"name": "Universidad Polit\u00e9cnica de Madrid", "source_name": "Group of Biometrics, Biosignals and Security, GB2S, Centro de Dom\u00f3tica Integral, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo. Pozuelo de Alarc\u00f3n, 28223, Madrid", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d596/196f5e7bc15ca7f69bd2c40ecbe4b12cdc3b.pdf"], "doi": []}, {"id": "e5703de5395d28d3186827ca4eba1562e01aa272", "title": "Music identification based on music word model", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177492"]}, {"id": "65393691b6b37b5c2ffc8609d6f6d37a06ff4dcc", "title": "Quantifying the power and consequences of social media protest", "addresses": [{"name": "American University", "source_name": "American University", "street_adddress": "American University, 4400, Massachusetts Avenue Northwest, Spring Valley, American University Park, D.C., 20016, USA", "lat": "38.93804505", "lng": "-77.08939224", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of North Texas", "source_name": "University of North Texas", "street_adddress": "University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA", "lat": "33.20988790", "lng": "-97.15147488", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6539/3691b6b37b5c2ffc8609d6f6d37a06ff4dcc.pdf"], "doi": []}, {"id": "0e10eb11d0df37c76b9dbc2f7ae8958140d320bf", "title": "Review-Reservoir Computing Trend on Software and Hardware Implementation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e10/eb11d0df37c76b9dbc2f7ae8958140d320bf.pdf"], "doi": []}, {"id": "04dccd10855ef6179f071e5878514e9e4eac4d55", "title": "Virus discovery in all three major lineages of terrestrial arthropods highlights the diversity of single-stranded DNA viruses associated with invertebrates", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "University of Vermont", "source_name": "University of Vermont", "street_adddress": "University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA", "lat": "44.48116865", "lng": "-73.20021790", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d645/4fa1b7e3eab72f0ae1e0e90d4055e1150f80.pdf"], "doi": []}, {"id": "ededf34003027dd90f32b97d52c7964291972b56", "title": "Are diversification rates and chromosome evolution in the temperate grasses (Pooideae) associated with major environmental changes in the Oligocene-Miocene?", "addresses": [{"name": "University of A Coru\u00f1a", "source_name": "VARPA Group, University of A Coru\u00f1a, A Coru\u00f1a, Spain", "street_adddress": "A Coru\u00f1a, Spain", "lat": "43.36234360", "lng": "-8.41154010", "type": "edu", "country": "Spain"}, {"name": "University of Zaragoza", "source_name": "University of Zaragoza, Spain", "street_adddress": "Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain", "lat": "41.64206390", "lng": "-0.90150650", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eded/f34003027dd90f32b97d52c7964291972b56.pdf"], "doi": []}, {"id": "1342e8e9001d704ad16be309116a5ec4851f81af", "title": "Decreased Modulation of EEG Oscillations in High-Functioning Autism during a Motor Control Task", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1342/e8e9001d704ad16be309116a5ec4851f81af.pdf"], "doi": []}, {"id": "dfbf0b49e9731025456cd30f745314225279983f", "title": "Modulation of network-to-network connectivity via spike-timing-dependent noninvasive brain stimulation.", "addresses": [{"name": "University of Siena", "source_name": "University of Siena", "street_adddress": "\u5927\u5b78 University, \u6fa4\u7965\u8857 Chak Cheung Street, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "lat": "22.41338620", "lng": "114.21005800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.tmslab.org/publications/842.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30113111", "https://doi.org/10.1002/hbm.24329"]}, {"id": "c3d2b8856dd2f600680ffbaa98ba9a43b5e6f3bb", "title": "Human papillomavirus dysregulates the cellular apparatus controlling the methylation status of H3K27 in different human cancers to consistently alter gene expression regardless of tissue of origin", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c3d2/b8856dd2f600680ffbaa98ba9a43b5e6f3bb.pdf"], "doi": []}, {"id": "41968ce97d01c86a545da6f2bee1f462a04fa078", "title": "Analysis of Class I Major Histocompatibility Complex Gene Transcription in Human Tumors Caused by Human Papillomavirus Infection", "addresses": [{"name": "The University of Western Ontario", "source_name": "Graduate Program in Neuroscience, The University of Western Ontario, London, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4196/8ce97d01c86a545da6f2bee1f462a04fa078.pdf"], "doi": []}, {"id": "3755cc2648a7127d960fccc41f8ae45e0646fb88", "title": "Auditory Feedback Differentially Modulates Behavioral and Neural Markers of Objective and Subjective Performance When Tapping to Your Heartbeat", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3755/cc2648a7127d960fccc41f8ae45e0646fb88.pdf"], "doi": []}, {"id": "c9280a577bec62b2ee4579059e504910a2f498ac", "title": "Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material", "addresses": [{"name": "Philipps-Universit\u00e4t Marburg", "source_name": "Philipps-Universit\u00e4t Marburg", "street_adddress": "FB 09 | Germanistik und Kunstwissenschaften (Dekanat), 3, Deutschhausstra\u00dfe, Biegenhausen, Biegenviertel, Marburg, Landkreis Marburg-Biedenkopf, Regierungsbezirk Gie\u00dfen, Hessen, 35037, Deutschland", "lat": "50.81427010", "lng": "8.77143500", "type": "edu", "country": "Germany"}, {"name": "University of Ulm", "source_name": "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "street_adddress": "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "lat": "48.42223050", "lng": "9.95558200", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Heidelberg", "source_name": "Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany", "street_adddress": "Berliner Str. 43, 69120 Heidelberg, Germany", "lat": "49.41875910", "lng": "8.67554310", "type": "edu", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48db/5b7d6377eb3063e3dec93d900e803c07c83d.pdf"], "doi": []}, {"id": "c6527076c5b732070b6bf4d7573f5214093ed38b", "title": "Ruxolitinib sensitizes ovarian cancer to reduced dose Taxol, limits tumor growth and improves survival in immune competent mice", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0fa9/3f4e8304687dae4ea9c03933726e54836aff.pdf"], "doi": []}, {"id": "11d0e36b575b3e5128b88fc26913c50f72182728", "title": "HeLa nucleic acid contamination in the cancer genome atlas leads to the misidentification of human papillomavirus 18.", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/11d0/e36b575b3e5128b88fc26913c50f72182728.pdf"], "doi": []}, {"id": "2e0ea7e2d38f95033f154d41285d63364a48cd24", "title": "Tumour virology in the era of high-throughput genomics", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2e0e/a7e2d38f95033f154d41285d63364a48cd24.pdf"], "doi": []}, {"id": "973005f8a7941d8dda514e7d937339043d811920", "title": "Merkel cell polyomavirus T antigens promote cell proliferation and inflammatory cytokine gene expression.", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "University of Cologne", "source_name": "University of Cologne, K\u00f6ln, Germany", "street_adddress": "Albertus-Magnus-Platz, 50923 K\u00f6ln, Germany", "lat": "50.92816250", "lng": "6.92881930", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bfa9/bf176bf64f23c46e795642db67f7228b5c38.pdf"], "doi": []}, {"id": "2a9a4cf568114aa9f1158b1f4b1403cf7f4d662a", "title": "Serum CA19-9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: implications for early disease detection.", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}, {"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2a9a/4cf568114aa9f1158b1f4b1403cf7f4d662a.pdf"], "doi": []}, {"id": "76caa1b9d6ffd845cbf9a545b82b1826c68772f7", "title": "Histidine catabolism is a major determinant of methotrexate sensitivity", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://sabatinilab.wi.mit.edu/pubs/2018/kanarekNature.pdf"], "doi": ["https://doi.org/10.1038/s41586-018-0316-7", "https://www.ncbi.nlm.nih.gov/pubmed/29995852"]}, {"id": "33569dda09bb072a01a99830f7ef0970384c4bcc", "title": "A data science challenge for converting airborne remote sensing data into ecological information", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3356/9dda09bb072a01a99830f7ef0970384c4bcc.pdf"], "doi": []}, {"id": "a5469b4ec610f03367c5c75e3dc5d888f4370880", "title": "Triadobatrachus massinoti, the earliest known lissamphibian (Vertebrata: Tetrapoda) re-examined by \u03bcCT scan, and the evolution of trunk length in batrachians", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Lyon", "source_name": "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b4ebc439d8960f2aa3dcc8dc51bae40c8010.pdf"], "doi": []}, {"id": "746af50882e26a0f928c2035f0fd47b146725f7e", "title": "Learning structure of sensory inputs with synaptic plasticity leads to interference", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/746a/f50882e26a0f928c2035f0fd47b146725f7e.pdf"], "doi": []}, {"id": "8cb4afd7d9f5157772b47acea1a7642512eb23e1", "title": "The Information Network: Exploiting Causal Dependencies in Online Information Seeking", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2854974"]}, {"id": "46e262db98c75b25b04b762242ab245cb914a875", "title": "Detection of time delays and directional interactions based on time series from complex dynamical systems.", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/46e2/62db98c75b25b04b762242ab245cb914a875.pdf"], "doi": []}, {"id": "dc81364eb67c2798abeee0518cc5fd2aa13cafad", "title": "Carbon stable isotope composition of charophyte organic matter in a small and shallow Spanish water body as a baseline for future trophic studies", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aec/0b11a3bb90489947374d5b474b93e4a2ed2b.pdf"], "doi": []}, {"id": "9a7327569ff5e33257de322c9efc1f398fe2403f", "title": "Genetics, Morphology, Advertisement Calls, and Historical Records Distinguish Six New Polyploid Species of African Clawed Frog (Xenopus, Pipidae) from West and Central Africa.", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9a73/27569ff5e33257de322c9efc1f398fe2403f.pdf"], "doi": []}, {"id": "70e6413e2beaecbef06810955cef5d8a78d8d061", "title": "Cohesion, order and information flow in the collective motion of mixed-species shoals", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of New England", "source_name": "University of New England, Armidale, Australia", "street_adddress": "Armidale NSW 2351, Australia", "lat": "-30.48995350", "lng": "151.64101990", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e6/413e2beaecbef06810955cef5d8a78d8d061.pdf"], "doi": []}, {"id": "cd369a556eaadd2ba2b85994d3aae95d3a4e5923", "title": "Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7556386"]}, {"id": "e953a4720f0318ea95d5710a6f1fdf057af2415e", "title": "Data-based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e953/a4720f0318ea95d5710a6f1fdf057af2415e.pdf"], "doi": []}, {"id": "2a55499130ce9984b998865349b9b8fc3104ef96", "title": "Information-Theoretic Evidence for Predictive Coding in the Face-Processing System.", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a55/499130ce9984b998865349b9b8fc3104ef96.pdf"], "doi": []}, {"id": "85cbf9066cd568bddeddba843f604e883d9aeb3b", "title": "Estimating the impact of structural directionality: How reliable are undirected connectomes?", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01651.pdf"], "doi": []}, {"id": "16e25eacf9309f53778d95a5a16899f6ed91595a", "title": "Frequency-based brain networks: From a multiplex framework to a full multilayer description", "addresses": [{"name": "Universidad Rey Juan Carlos", "source_name": "Departamento de Ciencias de la Computaci\u00f3n, Universidad Rey Juan Carlos, M\u00f3stoles (Madrid), Spain. josemiguel.buenaposada@urjc.es", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}, {"name": "University of California Los Angeles", "source_name": "University of California Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06091.pdf"], "doi": []}, {"id": "39ae101c4fd9cb0f8757852bd4804d8869fd2667", "title": "PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462173"]}, {"id": "79de8cc2d7b254b5995fdc7fbb1ad4f9ca24cbc1", "title": "Playing methods and techniques of pipa", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/79de/8cc2d7b254b5995fdc7fbb1ad4f9ca24cbc1.pdf"], "doi": []}, {"id": "cfdbedd78a8ecf6ce6b18faddf423477cdfec95d", "title": "PENGUKURAN VISKOSITAS NITROGEN MENGGUNAKAN METODE PIPA KAPILER PADA TEMPERATUR298 SAMPAI 500 K, DAN TEKANAN 5 SAMPAI 100 MPA", "addresses": [{"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cfdb/edd78a8ecf6ce6b18faddf423477cdfec95d.pdf"], "doi": []}, {"id": "cdae2b3d3ea5631869489a1f7e08dc65cd0fd698", "title": "Response: Commentary: Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "1d61db5ce720f3e8489b0d45f5d079341fd10b23", "title": "RM-SORN: a reward-modulated self-organizing recurrent neural network", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d61/db5ce720f3e8489b0d45f5d079341fd10b23.pdf"], "doi": []}, {"id": "13a8bba40126369f0e8a186834efb281bc65cc05", "title": "Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "f1b28c35819ae7878e3eec07da7d57c6efe45928", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity", "addresses": [{"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}, {"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03113.pdf"], "doi": []}, {"id": "71ea7b9aa08abc716a593407b1623dc46c3e10ca", "title": "Persistent Memory in Single Node Delay-Coupled Reservoir Computing", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71ea/7b9aa08abc716a593407b1623dc46c3e10ca.pdf"], "doi": []}, {"id": "3e632bb55dd7947d764900dea74953502e8da485", "title": "Assessing Coupling Dynamics from an Ensemble of Time Series", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1008.0539.pdf"], "doi": []}, {"id": "487d1c8e692bea3e106776cc9a478823a334e8cf", "title": "\u201cTo be or not to be Retained \u2026 That\u2019s the Question!\u201d Retention, Self-esteem, Self-concept, Achievement Goals, and Grades", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/487d/1c8e692bea3e106776cc9a478823a334e8cf.pdf"], "doi": []}, {"id": "0a526d4b21dde952d8659c046f6d8f511d8b9d9b", "title": "The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1047850.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811915000804?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2015.01.054", "https://www.ncbi.nlm.nih.gov/pubmed/25680519", "https://www.wikidata.org/entity/Q35286768"]}, {"id": "91ccb1ad59103d931cd6d1ec49ddf6008255af38", "title": "What does gamma coherence tell us about inter-regional neural communication?", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://buzsakilab.com/content/PDFs/BuzsakiSchomburg2015.pdf"], "doi": ["https://doi.org/10.1038/nn.3952", "https://www.ncbi.nlm.nih.gov/pubmed/25706474"]}, {"id": "852320e33132442e1c335b13b88be0f7afa3c080", "title": "The social dilemma of autonomous vehicles", "addresses": [{"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}, {"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.03346.pdf"], "doi": []}, {"id": "0798f0433149cf3742267d3439dfbfea2a040427", "title": "A LuxR Homolog in a Cottonwood Tree Endophyte That Activates Gene Expression in Response to a Plant Signal or Specific Peptides", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0798/f0433149cf3742267d3439dfbfea2a040427.pdf"], "doi": []}, {"id": "47784794c88918ce94ba8995019f1f3e38fe791c", "title": "Galacto-Oligosaccharide/Polidextrose Enriched Formula Protects against Respiratory Infections in Infants at High Risk of Atopy: A Randomized Clinical Trial", "addresses": [{"name": "University of Padua", "source_name": "University of Padua, Italy. enrico.grisan@unipd.it", "street_adddress": "Via 8 Febbraio 1848, 2, 35122 Padova PD, Italy", "lat": "45.40676600", "lng": "11.87744620", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4778/4794c88918ce94ba8995019f1f3e38fe791c.pdf"], "doi": []}, {"id": "62c3fb2a12aa4a1697019867ab00ef370a93c34d", "title": "Photonic sensors: From horse racing to horse power", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}, {"name": "Federal University of Technology - Parana", "source_name": "Federal University of Technology - Parana, Brazil", "street_adddress": "R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, Curitiba - PR, 81280-340, Brazil", "lat": "-25.44341230", "lng": "-49.35348310", "type": "edu", "country": "Brazil"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961110"]}, {"id": "202face365f4cf0cfffff5ced715574821816f1d", "title": "Recognizing and Curating Photo Albums via Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05911.pdf"], "doi": []}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "1b93a123d352ea09b4c8aaac933f1d4c8bd42009", "title": "PlaNet - Photo Geolocation with Convolutional Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.05314.pdf"], "doi": []}, {"id": "4131a42a3a9b60f01cef2d744c7f6debd1d2ee4a", "title": "Multigranular Event Recognition of Personal Photo Albums", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119855"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "f467eb5e7f9d49ab318401f961109882c00f2720", "title": "Face/Off: Preventing Privacy Leakage From Photos in Social Networks", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2813603"]}, {"id": "3187ff8a0ef4d0cfc68f368610b1842ef1f7b671", "title": "Hierarchically-Attentive RNN for Album Summarization and Storytelling", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02977.pdf"], "doi": []}, {"id": "e7d7761ba516340457488955f3dd5959761bbfd0", "title": "Automatic triage for a photo series", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925908"]}, {"id": "aae1a3fff0da14919848a2a8592cd2f1f8ac495c", "title": "Photo collection contextualization", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169761"]}, {"id": "4556fd9fa338c65c27c7fac3afb8c6186d3807c5", "title": "Mining User Interests from Personal Photos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a47f/c06d1e1f9d0e4da1ad2dfd8c1de762d8b714.pdf"], "doi": []}, {"id": "6e0b1ea97421e080402a8db23358b01c04c905e5", "title": "Personalized Annotation for Mobile Photos Based on User's Social Circle", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-27671-7_7"]}, {"id": "8598aadd321752e7e767fc3c608706f9104fd0e0", "title": "Photo annotation: a survey", "addresses": [{"name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Maranh\u00e3o, S\u00e3o Lu\u00eds, Brazil", "street_adddress": "Av. Colares Moreira, 477 - Jardim Renascenca, S\u00e3o Lu\u00eds - MA, 65075-441, Brazil", "lat": "-2.49930740", "lng": "-44.28597080", "type": "edu", "country": "Brazil"}, {"name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "source_name": "Federal Institute of Education, Science and Technology of Paraiba, Esperan\u00e7a, Brazil", "street_adddress": "Av. Primeiro de Maio, 720 - Jaguaribe, Jo\u00e3o Pessoa - PB, 58015-435, Brazil", "lat": "-7.13564960", "lng": "-34.87390450", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Cear\u00e1", "source_name": "Federal University of Cear\u00e1, Fortaleza, Brazil", "street_adddress": "R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil", "lat": "-3.74174150", "lng": "-38.53868620", "type": "edu", "country": "Brazil"}, {"name": "University of Campina Grande", "source_name": "Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil", "street_adddress": "Rua Apr\u00edgio Veloso, 882 Universit\u00e1rio 58429-900 - Federal University of Campina Grande, PB, Brazil", "lat": "-7.21248510", "lng": "-35.90736510", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-4281-6"]}, {"id": "8c194fdcc1596a988ae1d1d501ed9849d200bdd9", "title": "Intelligent organization of multiuser photo galleries using sub-event detection", "addresses": [{"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275347"]}, {"id": "0d0041aefb16c5f7b1e593b440bb3df7b05b411c", "title": "Secure JPEG scrambling enabling privacy in photo sharing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://translectures.videolectures.net/site/normal_dl/tag=980911/fgconference2015_ebrahimi_photo_sharing_01.pdf", "https://infoscience.epfl.ch/record/205860/files/FG2015_DeID_PhotoSharing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7285022", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7285022", "http://doi.org/10.1109/FG.2015.7285022"]}, {"id": "fe33597affd4e99a5dc979ef4ed99ee6311fdc2b", "title": "Hierarchical Photo-Scene Encoder for Album Storytelling", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00669.pdf"], "doi": []}, {"id": "93cff536e6844f7b581bd6c947d6fe1d098919bc", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893"]}, {"id": "52d88f1bd669e6736bd7ef945d451841f9b9fd78", "title": "Travel photo album summarization based on aesthetic quality, interestingness, and memorableness", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820889"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "bed777206e903cbe92c71808627a3bfed5701f5e", "title": "AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742843"]}, {"id": "ea97d02baaadad2bc7a01f3faad397e28f28d74b", "title": "Abnormal Event Discovery in User Generated Photos", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2975215"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "fa46cc90577f92269fc03bf20ba07c0c91676839", "title": "Learning personalized expectation-oriented photo selection models for personal photo collections", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169813"]}, {"id": "51d2f04db96856d0da974893223d0659a4b53161", "title": "NowAndThen: a social network-based photo recommendation tool supporting reminiscence", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}, {"name": "University of Science", "source_name": "University of Science, Ho Chi Minh city, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3012738"]}, {"id": "78baffa12bbebcd0b615fac80c2df6d3f05c4261", "title": "From Uncertain Photos to Certain Coverage: a Novel Photo Selection Approach to Mobile Crowdsensing", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485969"]}, {"id": "4503374b7a8b342d262aef220a4ecf00f8f28fd8", "title": "Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240624"]}, {"id": "b5647cbbfdc7d1ee91a8ec264b200b66afd7b8b2", "title": "A Dataset for Telling the Stories of Social Media Videos", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b564/7cbbfdc7d1ee91a8ec264b200b66afd7b8b2.pdf"], "doi": []}, {"id": "05d082daa3e6f86adeb78b26e8cf07b94b418377", "title": "Photo Selection for Family Album using Deep Neural Networks", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3209697"]}, {"id": "ed9869f749d1f5d0752251c492c3389cf944707b", "title": "Exploring the heterogeneity of social media: dataset and a pilot study", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808568"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "Microsoft Research Ltd., Cambridge, UK", "source_name": "Microsoft Research Ltd., Cambridge, UK", "street_adddress": "21 Station Rd, Cambridge CB1 2FB, UK", "lat": "52.19489020", "lng": "0.13504810", "type": "company", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "d284dd84e5675e33b561f183f22fc817ef113890", "title": "Monet: A System for Reliving Your Memories by Theme-Based Photo Storytelling", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7577751"]}, {"id": "a3b5b2558cf3905bfeba07e1bda3ff87b07d3581", "title": "Event recognition in personal photo collections using hierarchical model and multiple features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340864"]}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "b5dbffb3a07153c5428d7752cb06b545cb083e5f", "title": "All the people around me: Face discovery in egocentric photo-streams", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296500"]}, {"id": "e29ba8930f379245035ff7d33b5693592ee491aa", "title": "Discriminative subgraphs for discovering family photos", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s41095-016-0054-4"]}, {"id": "2257a49262f7d2fa3980dbf1567ca9be728a21ee", "title": "To Keep or not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749372"]}, {"id": "8bc5d06d2a6033ecfb39d373a663bee2b28fee52", "title": "CrowdBuy: Privacy-friendly Image Dataset Purchasing via Crowdsourcing", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485902"]}, {"id": "390b24743e97474b3e086aa9516930a6eaa73e87", "title": "Event Recognition in Photo Streams", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/390b/24743e97474b3e086aa9516930a6eaa73e87.pdf"], "doi": []}, {"id": "8db8cb025e30552524738ddfc7db1143e92be06b", "title": "Investigating human behaviors in selecting personal photos to preserve memories", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169750"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "f6e3638e4b3684f40b39c7316c29539b2c0d2357", "title": "RingIt: Ring-Ordering Casual Photos of a Temporal Event", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2735628"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "6f911cb4b7c83baf67d2c262558535d360d37a3d", "title": "Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2788569"]}, {"id": "9471ca17573e3c3aed347f17b3cf9d9d1416ce3a", "title": "Visual Landmark Recognition from Internet Photo Collections: A Large-Scale Evaluation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5400.pdf"], "doi": []}, {"id": "31317c7956d5841f728364a96a54578e7118a310", "title": "Assisted journey recollections from photo streams: (demo paper)", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996955"]}, {"id": "c370f762968f6379c2cda1e18e71334494aa3b72", "title": "Photo linker: a system for finding your old photos based on fragmentary memories", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808550"]}, {"id": "b8218640e95bb2d925a617b1c3012eed7d209351", "title": "Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/977b/eecdf0b5c3487d03738cff501c79770f0858.pdf"], "doi": []}, {"id": "42b4e10215c58f47bf8917f1a84ed82803bf6ee1", "title": "Are People Really Social in Porn 2.0?", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/80a4/9380102b85b8509bdecbb024f24a5d2d2d42.pdf"], "doi": []}, {"id": "c0a316190b73b11eb75ed09456b2548f394fef37", "title": "Real-time Burst Photo Selection Using a Light-Head Adversarial Network", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07212.pdf"], "doi": []}, {"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "title": "Deep Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f372/ab9b3270d4e4f6a0258c83c2736c3a5c0454.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "132b44b95cd0bfe4b6a2d4dfeba1858411f0271d", "title": "Mixed-Ability Collaboration for Accessible Photo Sharing", "addresses": [{"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240994"]}, {"id": "4cb852b0893edcf895aeccfb4e03055073777f5e", "title": "Collaborative filtering motivated automatic photo tagging", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8029111"]}, {"id": "70f7bcfe2ce3789e62846c73e98feeaa319135e5", "title": "Learning Deep Contextual Attention Network for Narrative Photo Stream Captioning", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126715"]}, {"id": "b2181cd970175f29402ac11380c88830afe27585", "title": "MMED: A Multi-domain and Multi-modality Event Dataset", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02354.pdf"], "doi": []}, {"id": "b95e1db112a14f4fbf8f3a993f9874abd01e915e", "title": "Photo Squarization by Deep Multi-Operator Retargeting", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240623"]}, {"id": "e334ce0b335cfe9185e9aeaeb851673ae480d186", "title": "Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image Hashing", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123446"]}, {"id": "7dc62564a31cde5f581df4891785708eeec65d2a", "title": "From Same Photo: Cheating on Visual Kinship Challenges", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06200.pdf"], "doi": []}, {"id": "19d583bf8c5533d1261ccdc068fdc3ef53b9ffb9", "title": "FaceNet: A unified embedding for face recognition and clustering", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03832.pdf"], "doi": []}, {"id": "77c512cbb832436e1a35ad434e6bb3d763799763", "title": "A Neural Algorithm of Artistic Style", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.06576.pdf"], "doi": []}, {"id": "5287d8fef49b80b8d500583c07e935c7f9798933", "title": "Generative Adversarial Text to Image Synthesis", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05396.pdf"], "doi": []}, {"id": "a16bfc3175ceaced58c81ef52c5dc29ba885a1a4", "title": "Geospatial Access to Lifelogging Photos in Virtual Reality", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210547"]}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e", "title": "Deep Aging Face Verification With Large Gaps", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "North Acton, London", "source_name": "North Acton, London", "street_adddress": "North Acton, Victoria Road, Acton, London Borough of Ealing, London, Greater London, England, W3 6UP, UK", "lat": "51.52344665", "lng": "-0.25973535", "type": "edu", "country": "United Kingdom"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328752", "http://doi.org/10.1109/TMM.2015.2500730"]}, {"id": "7265ea518dcb875780aabf2f2249b887715dc331", "title": "Cognition-Aware Summarization of Photos Representing Events", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7265/ea518dcb875780aabf2f2249b887715dc331.pdf"], "doi": []}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "14318685b5959b51d0f1e3db34643eb2855dc6d9", "title": "Going deeper with convolutions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594"]}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "4fa0d9c4c3d17458085ee255b7a4b7c325d59e32", "title": "DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}, {"name": "Wright State University", "source_name": "ATR Center, Wright State University, Dayton, Ohio", "street_adddress": "Center Park Blvd, 3640 Colonel Glenn Hwy, Fairborn, OH 45324, United States", "lat": "39.78192740", "lng": "-84.06075470", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fa0/d9c4c3d17458085ee255b7a4b7c325d59e32.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "101c7bfc56091b627886636afcf1103c1cecccf6", "title": "Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749318"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "c528434a54ef53e44085921698bffc5f58f81637", "title": "Cross-heterogeneous-database age estimation through correlation representation learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2017/TQNC-2017.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2017.01.064"]}, {"id": "11682c651ed0ca264476fa5b2d8c01cf16b365a1", "title": "Weather-to-garment: Weather-oriented clothing recommendation", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019476"]}, {"id": "1d3dd9aba79a53390317ec1e0b7cd742cba43132", "title": "A maximum entropy feature descriptor for age invariant face recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/Gong_A_Maximum_Entropy_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_092_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299166", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299166", "http://doi.org/10.1109/CVPR.2015.7299166"]}, {"id": "0086a67895924c5fea6ca59c74c7323a1db97def", "title": "Visual Mementos: Reflecting Memories with Personal Data", "addresses": [{"name": "University of Calgary", "source_name": "University of Calgary", "street_adddress": "University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada", "lat": "51.07840380", "lng": "-114.12870770", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7192708"]}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"], "doi": []}, {"id": "38eef5352904f7b38e4736c07db175ef93db31b9", "title": "Children Seen But Not Heard: When Parents Compromise Children's Online Privacy", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2741124"]}, {"id": "61bd0aea6a9442a11c0e1e4973d7620b072ad203", "title": "Significance and popularity in music production", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7f78/7cb6cb88a5d5cbebd91b5cdd88f38e859799.pdf"], "doi": []}, {"id": "493dd416b844e84f322ce98c4cb80ee739fea613", "title": "Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069201"]}, {"id": "3e63cc52832039f6d5b004687b2ffbfdfc62a865", "title": "FingerReader: A Wearable Device to Explore Printed Text on the Go", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2702421"]}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "2532deb05cc053aa3a6ee3b2c0c2cf518bd3ed72", "title": "Privacy Protection for Preventing Data Over-Collection in Smart City", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Pace University", "source_name": "Pace University, New York, USA", "street_adddress": "1 Pace Plaza, New York, NY 10038, USA", "lat": "40.71111970", "lng": "-74.00485670", "type": "edu", "country": "United States"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7210166"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "345bea5f7d42926f857f395c371118a00382447f", "title": "Transfiguring portraits", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925871"]}, {"id": "556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7", "title": "EyeOpener: Editing Eyes in the Wild", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2926713"]}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "0a8214783a262dced7e6c21bc6b02486d86d9250", "title": "Streaming data analytics for anomalies in graphs", "addresses": [{"name": "Washington State University", "source_name": "Washington State University, Pullman, WA, USA", "street_adddress": "Pullman, WA, USA", "lat": "46.73192250", "lng": "-117.15421210", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7225259"]}, {"id": "40a4ed38493170fdcd071ce32c1e493743dbc455", "title": "Modeling Perspective Effects in Photographic Composition", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806248"]}, {"id": "591f04d62f44c22d1d82c9e074b066c21b420394", "title": "Learning What and Where to Draw", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02454.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "f63856b44acca90c55d329e6fbfcadc631a6ce6f", "title": "Interactive Trip Planning Using Activity Trajectories", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015030"]}, {"id": "560d04dd444f16ee7ddc81f4bba356a6b2e0ec2c", "title": "Adaptive Greedy Dictionary Selection for Web Media Summarization", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7600373"]}, {"id": "f2943bb22c1321cc06c0f65ec4f99ccd8a33363a", "title": "Automatic Discovery and Optimization of Parts for Image Classification", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6598.pdf"], "doi": []}, {"id": "7173a58ce542b8ec0f8a9439a0013bd8c5640c6d", "title": "Farmlands with smaller crop fields have higher within-field biodiversity", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.glel.carleton.ca/PDF/webDump/15FahrigetalAgEcosysEnvir.pdf"], "doi": ["https://doi.org/10.1016/j.agee.2014.11.018"]}, {"id": "249d2e15cfcd531e3f91d561877d5b23d31ec2e8", "title": "Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01214.pdf"], "doi": []}, {"id": "62bfdedb87d1fed25eb5aa1bc6ff546c70a0ba6a", "title": "The LDBC Social Network Benchmark: Interactive Workload", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2742786"]}, {"id": "b3cff07ea29a9019722c09a89ee969d9ac31329c", "title": "Risk Assessment in Social Networks Based on User Anomalous Behaviors", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430280"]}, {"id": "8a2601bb950665d6d69b0bfda0690537669f2376", "title": "Knowledge Discovery In GIS Data", "addresses": [{"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07241.pdf"], "doi": []}, {"id": "0cb0a2b5dac0972fa6388b2f31f76c89455a10db", "title": "\"I Added '!' at the End to Make It Secure\": Observing Password Creation in the Lab", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0cb0/a2b5dac0972fa6388b2f31f76c89455a10db.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0", "title": "Who Are Your \u201cReal\u201d Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of International Business and Economics", "source_name": "University of International Business and Economics, Beijing, China", "street_adddress": "Huibin N Rd, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.98228500", "lng": "116.42652200", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801826", "http://doi.org/10.1109/TMM.2016.2646181"]}, {"id": "843c138978d012e9a683c9595ad4cad9fb02749d", "title": "Translating Videos to Natural Language Using Deep Recurrent Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.4729.pdf"], "doi": []}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "301cbaa07dc2b98baa574a126971b6402dbb91a9", "title": "Camera as weather sensor: Estimating weather information from single images", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://www.cs.ccu.edu.tw/~wtchu/papers/2017JVCI-chu.pdf"], "doi": ["https://doi.org/10.1016/j.jvcir.2017.04.002"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "e5c061593e90adb6c39fd4efe1f802dc5fc1268c", "title": "Deep Learning for Content-Based, Cross-Modal Retrieval of Videos and Music", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e5c0/61593e90adb6c39fd4efe1f802dc5fc1268c.pdf"], "doi": []}, {"id": "f25ec66a87367fbfe59081358eb82f8bab21c8eb", "title": "SnapVideo: Personalized Video Generation for a Sightseeing Trip", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516655"]}, {"id": "1e3df3ca8feab0b36fd293fe689f93bb2aaac591", "title": "Multi-task Recurrent Neural Network for Immediacy Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410740"]}, {"id": "75a47284526ce7f7a0961e0d8ee611459fac0492", "title": "Has Instagram Fundamentally Altered the 'Family Snapshot'?", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025928"]}]} \ No newline at end of file diff --git a/site/datasets/final/tiny_faces.json b/site/datasets/final/tiny_faces.json index e530b193..b05c6626 100644 --- a/site/datasets/final/tiny_faces.json +++ b/site/datasets/final/tiny_faces.json @@ -1 +1 @@ -{"id": "8990cdce3f917dad622e43e033db686b354d057c", "dataset": {"key": "tiny_faces", "name_short": "TinyFace", "name_display": "TinyFace", "name_full": "Native Unconstrained Low-resolution Face Dataset", "purpose": "low resolution dataset", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://qmul-tinyface.github.io/", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "pipa, megaface", "source": "flickr", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2018", "ongoing": "", "images": "169,403 ", "videos": "", "tracklets": "", "identities": "5,139 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "20", "height": "16", "color": "Y", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "8990cdce3f917dad622e43e033db686b354d057c", "key": "tiny_faces", "title": "Low-Resolution Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "address": "", "name": "TinyFace", "doi": []}, "addresses": [], "additional_papers": [], "citations": []} \ No newline at end of file +{"id": "8990cdce3f917dad622e43e033db686b354d057c", "dataset": {"key": "tiny_faces", "name_short": "TinyFace", "name_display": "TinyFace", "name_full": "Native Unconstrained Low-resolution Face Dataset", "purpose": "low resolution dataset", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://qmul-tinyface.github.io/", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "pipa, megaface", "source": "flickr", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2018", "ongoing": "", "images": "169,403 ", "videos": "", "tracklets": "", "identities": "5,139 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "20", "height": "16", "color": "Y", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "8990cdce3f917dad622e43e033db686b354d057c", "key": "tiny_faces", "title": "Low-Resolution Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "address": "", "name": "TinyFace", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/uccs.json b/site/datasets/final/uccs.json index e4807951..ad9bf387 100644 --- a/site/datasets/final/uccs.json +++ b/site/datasets/final/uccs.json @@ -1 +1 @@ -{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "dataset": {"key": "uccs", "name_short": "UCCS", "name_display": "UCCS", "name_full": "UnConstrained College Students Dataset", "purpose": "Face recognition, face detection", "comment": "", "created_by": "University of Colorado Colorado Springs (US)", "funded_by": "ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR", "funded_by_short": "ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR", "used_by": "NIST, IARPA Janus, Beckman Institute, Vision Semantics Ltd.", "license": "mODC-By", "url": "http://vast.uccs.edu/Opensetface/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "2012", "year_end": "2013", "year_published": "2016", "ongoing": "", "images": "16,149 ", "videos": "", "tracklets": "", "identities": "1,732 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "75,748 ", "female": "", "male": "", "landmarks": "", "width": "5184", "height": "3456", "color": "Y", "gray": "", "tags": "fr, fd, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "Y", "berit": "Y", "charlie": "", "notes": "errors, berit. Which source says \"4362\" ids?", "derivative_of": "", "": ""}, "paper": {"paper_id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "key": "uccs", "title": "Large scale unconstrained open set face database", "year": "2013", "pdf": [], "address": {"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}, "name": "UCCS", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712756"]}, "addresses": [{"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}], "additional_papers": [{"paper_id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "key": "uccs", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "year": "2017", "pdf": [], "address": "", "name": "UCCS", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}], "citations": [{"id": "c50e498ede6f5216cffd0645e747ce67fae2096a", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Institute of Information Engineering, CAS, Beijing, China", "source_name": "Institute of Information Engineering, CAS, Beijing, China", "street_adddress": "Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042", "lat": "39.97426000", "lng": "116.21589000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09998.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04153.pdf"], "doi": []}, {"id": "3531332efe19be21e7401ba1f04570a142617236", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "efc8359dd8aa725da5dbf38bffcb691d6c99d631", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8554301"]}, {"id": "7fcdace7dcdf40fac377d88c116280ee1b416fcc", "title": "PAWE: Polysemy Aware Word Embeddings", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206101"]}, {"id": "f2f16ff81eaa9f64803532e93f613e972582ac32", "title": "Current Alcohol Use is Associated with Sleep Patterns in First-Year College Students.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f2f1/6ff81eaa9f64803532e93f613e972582ac32.pdf"], "doi": []}, {"id": "13097de9da0dee93fa2fe61e9d6aaa55f056ec03", "title": "Examining the Relationships of Image and Attitude on Visit Intention to Korea among Tanzanian College Students : The Moderating Effect of Familiarity", "addresses": [{"name": "Inha University", "source_name": "Intelligent Technology Laboratory, Inha University, Incheon, Korea", "street_adddress": "100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea", "lat": "37.45002210", "lng": "126.65348800", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1309/7de9da0dee93fa2fe61e9d6aaa55f056ec03.pdf"], "doi": []}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "addresses": [{"name": "Northeastern State University", "source_name": "Northeastern State University, OK, USA", "street_adddress": "600 N Grand Ave, Tahlequah, OK 74464, USA", "lat": "35.92114100", "lng": "-94.96590400", "type": "edu", "country": "United States"}, {"name": "Shanghai University of Engineering Science", "source_name": "Shanghai University of Engineering Science, Shanghai, China", "street_adddress": "333 Longteng Rd, Songjiang Qu, Shanghai Shi, China", "lat": "31.05723000", "lng": "121.20843700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307067", "http://doi.org/10.1109/ACCESS.2018.2812794"]}, {"id": "f8ec6a0dcb16db8759ff5ec8e6acaea63817496e", "title": "DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273639"]}, {"id": "0dba189dfd7dba6bad4fc93a39aa86587242c157", "title": "Reciprocal Relationship between Internet Addiction and Network-Related Maladaptive Cognition among Chinese College Freshmen: A Longitudinal Cross-Lagged Analysis", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0dba/189dfd7dba6bad4fc93a39aa86587242c157.pdf"], "doi": []}, {"id": "fa364d25fc2ec5adf604c36c7a0a0bc09d66dee0", "title": "Work-life Balance Decision-making of Norwegian Students : Implications for Human Resources Management", "addresses": [{"name": "University of Agder", "source_name": "University of Agder", "street_adddress": "UiA, Vegard Hauges plass, Gimlemoen, Kvadraturen, Kristiansand, Vest-Agder, 4630, Norge", "lat": "58.16308805", "lng": "8.00144966", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab6f/87a44f9739805a78fd8ab62dfa784666d60e.pdf"], "doi": []}, {"id": "fa4d1db4d6fd47f2040a488b2b8abbbd65e663a3", "title": "Student Ownership of Projects in an Upper-Division Optics Laboratory Course: A Multiple Case Study of Successful Experiences.", "addresses": [{"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05378.pdf"], "doi": []}, {"id": "8859e85f18363a70f573a6382c1fbd687b268253", "title": "Benefits and drawbacks of social non-drinking identified by British university students.", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://roar.uel.ac.uk/7209/1/2017_dar_Benefits%20and%20drawbacks%20of%20social%20non-drinking%20identified%20by%20British%20university%20students.pdf", "http://sro.sussex.ac.uk/71334/1/__smbhome.uscs.susx.ac.uk_ellenaj_Desktop_SRO_after%20august_Conroy_deVisser_inPress_BenefitsNondrinking.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28940414", "https://doi.org/10.1111/dar.12610"]}, {"id": "07a5c4ba84268708146aa4bf5cad9491b3e35051", "title": "Deep Reinforcement Learning for Dialogue Generation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01541.pdf"], "doi": []}, {"id": "2ece3dcd35d56acacf7979e47e6965a7caa752ff", "title": "HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591265"]}, {"id": "5698cacd11c41136be51c0a05a0400f7510618d0", "title": "Using wavelets to categorize student attention patterns", "addresses": [{"name": "Mississippi State University", "source_name": "Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA", "street_adddress": "200 Research Blvd, Starkville, MS 39759, USA", "lat": "33.47359400", "lng": "-88.79354200", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7757403"]}, {"id": "9b2320fe87ac907ad23c974fd2944fa1cb1b2f30", "title": "Leveraging Digital Communities of Practice: How Asynchronous Digital Collaboration Afforded a Complex Reading/Writing Dialogue for Secondary School Students", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b23/20fe87ac907ad23c974fd2944fa1cb1b2f30.pdf"], "doi": []}, {"id": "a79682e071c5cd224844e05a0f06b29621df1b8f", "title": "Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927754"]}, {"id": "b41d585246360646c677a8238ec35e8605b083b0", "title": "Student engagement study based on multi-cue detection and recognition in an intelligent learning environment", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6017-2"]}, {"id": "88817b645d4843e366f3aa2a252e428a831548bc", "title": "Parental Support , Savings and Student Loan Repayment \u2217", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8881/7b645d4843e366f3aa2a252e428a831548bc.pdf"], "doi": []}, {"id": "091c511cdfd389a53e53fe034cbd19951a77764e", "title": "Effect of Gender , Guilt , and Shame on BYU Business School Students \u2019 Innovatio n : Structural Equation Modeling Approach", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/091c/511cdfd389a53e53fe034cbd19951a77764e.pdf"], "doi": []}, {"id": "6b687cafa042f0342ace8aeeca1dd566ae96eab9", "title": "The impact of blogging on the facilitation of critical literacy in adolescent students", "addresses": [{"name": "Rowan University", "source_name": "Rowan University", "street_adddress": "Rowan University, Esbjornson Walk, Glassboro, Gloucester County, New Jersey, 08028, USA", "lat": "39.71035260", "lng": "-75.11932666", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b68/7cafa042f0342ace8aeeca1dd566ae96eab9.pdf"], "doi": []}, {"id": "6fca28477e788950d8adecd0b18e6eac45d80a30", "title": "Deep Learning Based Binaural Speech Separation in Reverberant Environments", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886357"]}, {"id": "d41d2f7753d91e51d54e7d22953e7bbd1dda9f36", "title": "Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli.", "addresses": [{"name": "City College of New York", "source_name": "The City College of New York, New York, NY 10031, USA", "street_adddress": "CCNY, 160, Convent Avenue, Manhattanville, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10031, USA", "lat": "40.81819805", "lng": "-73.95100898", "type": "edu", "country": "United States"}, {"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eb21/1cc118a749849e34185d18e02933bc182e2a.pdf"], "doi": []}, {"id": "59c31447cc06c007b7f63cc4b8a183c739ed9de2", "title": "Revisiting detection thresholds for redirected walking: combining translation and curvature gains", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2931018"]}, {"id": "41d36a4a62daec60df005c2494f15962e76fc68a", "title": "An Indoor Location-Aware System for an IoT-Based Smart Museum", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7348638"]}, {"id": "3086806c88f1be5fe8dbe894bf30fe8aa9402259", "title": "Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges.", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3086/806c88f1be5fe8dbe894bf30fe8aa9402259.pdf"], "doi": []}, {"id": "89c894c5d3a6488ef7923c9baa1a656d1cded290", "title": "Command Filter-Based Adaptive Neural Tracking Controller Design for Uncertain Switched Nonlinear Output-Constrained Systems", "addresses": [{"name": "BoHai University", "source_name": "BoHai University, JinZhou, China", "street_adddress": "19 Keji Rd, Taihe Qu, Jinzhou Shi, Liaoning Sheng, China, 121000", "lat": "41.08656400", "lng": "121.11885400", "type": "edu", "country": "China"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815382"]}, {"id": "2f27b2e9905e5a5bb1ce7294fe121ba236eae27f", "title": "Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117386"]}, {"id": "689d6bc6e99bbfedfabc0654724139348dbae37c", "title": "Object-Level Video Advertising: An Optimization Framework", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558199", "http://doi.org/10.1109/TII.2016.2605629"]}, {"id": "54372f57bc6b1cfffc894a54b1066abb5d439af2", "title": "A novel IoT-based wireless system to monitor heart rate: student research abstract", "addresses": [{"name": "Miami University", "source_name": "Miami University", "street_adddress": "1601 University Blvd, Hamilton, OH 45011, USA", "lat": "39.37778800", "lng": "-84.56301210", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019929"]}, {"id": "0dc96e05b0e7471528e00815f0802bbb5945be4a", "title": "Implications of Emotion Expressivity for Daily and Trait Interpersonal and Intrapersonal Functioning Across Ethnic Groups", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dc9/6e05b0e7471528e00815f0802bbb5945be4a.pdf"], "doi": []}, {"id": "9cc578662a1d8f7e2ae869a22b586dc0e53c6e38", "title": "De-emphasizing Content to Study the Relationship between Meaning, Messages, and Content in IM Systems", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3064719"]}, {"id": "526f6f282f7374bffad41cee80be4bafc5c837a1", "title": "What You Don \u2019 t Know Can Help You in School Assignment", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/526f/6f282f7374bffad41cee80be4bafc5c837a1.pdf"], "doi": []}, {"id": "f3db61376ef74e192f74c1e81d9d31e5ecd46dcd", "title": "From Fair Decision Making To Social Equality", "addresses": [{"name": "American University of Beirut", "source_name": "American University of Beirut, Beirut, Lebanon", "street_adddress": "Bliss, Bayrut, Lebanon", "lat": "33.90083590", "lng": "35.48074400", "type": "edu", "country": "Lebanon"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287599"]}, {"id": "36b67b24a9fef6f7b383f1aff2500e07d58978d1", "title": "Credit Constraints and Demand for Higher Education: Evidence from Financial Deregulation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://mpra.ub.uni-muenchen.de/48726/1/MPRA_paper_48726.pdf"], "doi": ["https://doi.org/10.1162/REST_a_00558"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "2a56621c1f614a432ba3a945771c05433e2ccb6e", "title": "Sensorimotor-Conceptual Integration in Free Walking Enhances Divergent Thinking for Young and Older Adults", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2a56/621c1f614a432ba3a945771c05433e2ccb6e.pdf"], "doi": []}, {"id": "2e1e55e6299dca046e6e356145ee3c4f42b23cd3", "title": "Opportunities and obstacles for deep learning in biology and medicine", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Vanderbilt University", "source_name": "Vanderbilt Univ., Nashville, TN, USA", "street_adddress": "2201 West End Ave, Nashville, TN 37235, USA", "lat": "36.14470340", "lng": "-86.80265510", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18c4/f0bddcb89e23af5b7e75fe41af61615d39e2.pdf"], "doi": []}, {"id": "f971122f3b3d38e399c976b87bb5984b721a2139", "title": "Expressive genetic programming: concepts and applications", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3207867"]}, {"id": "d37127fc436a4c6456230e1caf0065d877eb9dcb", "title": "Continuous user authentication via unlabeled phone movement patterns", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272696"]}, {"id": "64147ef0108de9de438db2b9e1abbf956d3faea6", "title": "On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution", "addresses": [{"name": "Adobe Research, Bangalore, India", "source_name": "Adobe Research, Bangalore, India", "street_adddress": "Adobe Tower, Block A, Prestige Platina Tech Park, Marathahalli-Sarjapur Outer Ring Rd, Bhoganahalli Village, Varthur Hobli, Kadubeesanahalli, Bengaluru, Karnataka 560087, India", "lat": "12.94390340", "lng": "77.69684670", "type": "company", "country": "India"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8338444"]}, {"id": "0cd7e263e7a2de2b6e38e99acc182aa159f87221", "title": "Supporting Whole-Class Collaborative Inquiry in a Secondary Mathematics Classroom", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cd7/e263e7a2de2b6e38e99acc182aa159f87221.pdf"], "doi": []}, {"id": "79e16fc0d483075ffb05ef607e81c89c830ec63e", "title": "Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840054"]}, {"id": "0419539267659c9bcdd352bf0d8f0fccbfa974e9", "title": "The Facebook Paradox: Effects of Facebooking on Individuals\u2019 Social Relationships and Psychological Well-Being", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0419/539267659c9bcdd352bf0d8f0fccbfa974e9.pdf"], "doi": []}, {"id": "0e130906680ffa8e29d9b9b8257d85e9345dff0b", "title": "Solution and Analysis of TDOA Localization of a Near or Distant Source in Closed Form", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8521706"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "16286e98c638bd3a45bb8d7f4f97dcababa32654", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698561"]}, {"id": "b2003ddc62db9aea4eaebf63c5238491ab1f14a4", "title": "Approximate Discovery of Functional Dependencies for Large Datasets", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983781"]}, {"id": "0334d06fe8cc1fb5e337fd8dffe58fcabf7cb7b4", "title": "Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300019"]}, {"id": "bd88b46cb8420c9937925e0343058e731e373705", "title": "Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Technical University of Denmark", "source_name": "Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark", "street_adddress": "Bygning 324, 2800 Kongens Lyngby, Denmark", "lat": "55.78385100", "lng": "12.51846160", "type": "edu", "country": "Denmark"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://exordio.qfb.umich.mx/archivos%20PDF%20de%20trabajo%20UMSNH/2016/CellT.pdf", "http://orbit.dtu.dk/files/140198020/befo_nihms806693.pdf", "http://www.immunology.umn.edu/sites/immunology.umn.edu/files/science.aaf1490.full_.pdf"], "doi": ["https://doi.org/10.1126/science.aaf1490", "https://www.ncbi.nlm.nih.gov/pubmed/26940869"]}, {"id": "3312eb79e025b885afe986be8189446ba356a507", "title": "MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07027.pdf"], "doi": []}, {"id": "eb2b4eeaccf52725c51efaee5648fc08cc0946a7", "title": "Function Point Analysis for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962613"]}, {"id": "88557e79a4a9a40bb9252efff475fabb36df27be", "title": "Preliminary Causal Discovery Results with Software Effort Estimation Data", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172876"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "995e7bc1f833347844468a4b77e3900d2997f5e1", "title": "Using Software Non-Functional Assessment Process to Complement Function Points for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962615"]}, {"id": "9f7970f363fc70bc01449f3b0596a00344400987", "title": "TransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2906395"]}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "131fdffb1abee1d57f304684ba3bfb29a053ae86", "title": "Multiple mechanisms disrupt the let-7 microRNA family in neuroblastoma", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://collinslab.mit.edu/files/nature_daley.pdf"], "doi": ["https://doi.org/10.1038/nature18632", "https://dspace.mit.edu/openaccess-disseminate/1721.1/107912", "https://www.ncbi.nlm.nih.gov/pubmed/27383785"]}, {"id": "bbf91d2053571dcf511022ddf1b28a5ee3146fa6", "title": "Gut Microbiota Linked to Sexual Preference and HIV Infection.", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://edoc.mdc-berlin.de/15521/1/15521oa.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27077120", "https://doi.org/10.1016/j.ebiom.2016.01.032"]}, {"id": "a0cead1e49aaf62808f7c747cd192180dcc45cf9", "title": "COSMIC Function Points Evaluation for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172874"]}, {"id": "33858d13c6d294cabf8d0b6683344c4c1d6faa34", "title": "A Hybrid Approach to Functional Dependency Discovery", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2915203"]}, {"id": "68fe091f842c50a1776d6a250ce9b78dd7aeca8b", "title": "A fast and scalable hardware architecture for K-means clustering for big data analysis", "addresses": [{"name": "University of Mumbai", "source_name": "Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India", "street_adddress": "Plot No. 12, Sector-22, Opp. Nerul Railway Station, Phase II, Nerul West, Navi Mumbai, Maharashtra 400706, India", "lat": "19.02964890", "lng": "73.01666930", "type": "edu", "country": "India"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68fe/091f842c50a1776d6a250ce9b78dd7aeca8b.pdf"], "doi": []}, {"id": "bc79a0064582844c762ee329582b5570e59276f9", "title": "Analyzing the relationship between project productivity and environment factors in the use case points method", "addresses": [{"name": "University of Sharjah", "source_name": "University of Sharjah, Sharjah, United Arab Emirates", "street_adddress": "University City Rd - Sharjah - United Arab Emirates", "lat": "25.28677080", "lng": "55.47837140", "type": "edu", "country": "United Arab Emirates"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09920.pdf"], "doi": []}, {"id": "f5ca8690fc68cb82f6f669ba1dc8e2d5a9318707", "title": "Comparative Analysis of Six Lagerstroemia Complete Chloroplast Genomes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Beijing Forestry University", "source_name": "Beijing Forestry University, Beijing, China", "street_adddress": "35 Qinghua E Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "40.00448800", "lng": "116.34997230", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f5ca/8690fc68cb82f6f669ba1dc8e2d5a9318707.pdf"], "doi": []}, {"id": "6d82e835688d67f52a871ca0c1db0bbff33453a9", "title": "Interpreting the prediction process of a deep network constructed from supervised topic models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472113"]}, {"id": "8af9f7c920a87acb3ae127756f498a51b535790a", "title": "Exploring Contextual Engagement for Trauma Recovery", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Boult_Exploring_Contextual_Engagement_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015015", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.281", "http://doi.org/10.1109/CVPRW.2017.281"]}, {"id": "1060cadfc32dcaae347e09a74246a80445e0f4ef", "title": "Denial of Service Attack Detection using Multivariate Correlation Analysis", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905159"]}, {"id": "43e2f4b40af45559e96c54c59d3d01e8fb443bbf", "title": "Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}, {"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015165"]}, {"id": "f5272cb770c0bd4e04444b3c12669af58e5f1365", "title": "The Complete Chloroplast Genome Sequences of Five Epimedium Species: Lights into Phylogenetic and Taxonomic Analyses", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f527/2cb770c0bd4e04444b3c12669af58e5f1365.pdf"], "doi": []}, {"id": "664beeaad85c56c03019566eee8593b19ade263a", "title": "Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7296638"]}, {"id": "57955688c5abc9c2c945671a97dcb13d2401a3f0", "title": "Secure Data Obfuscation Scheme to Enable Privacy-Preserving State Estimation in Smart Grid AMI Networks", "addresses": [{"name": "Southern Illinois University", "source_name": "Southern Illinois University, Carbondale, USA", "street_adddress": "1263 Lincoln Dr, Carbondale, IL 62901, USA", "lat": "37.71002090", "lng": "-89.22259410", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360878"]}, {"id": "1c07af6771dac498afe3c2190d72e8af186c69ee", "title": "The endosomal transcriptional regulator RNF11 integrates degradation and transport of EGFR", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e95a/598da00fb09f21655d0943a429292891215b.pdf"], "doi": []}, {"id": "dc2570ee8338bdb782cad19c265c970a29a2334d", "title": "Data-Driven Techniques in Disaster Information Management", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3017678"]}, {"id": "9a28965f632e0df7ee1354c2036361285005c965", "title": "Nrf2 is the key to chemotherapy resistance in MCF7 breast cancer cells under hypoxia", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9a28/965f632e0df7ee1354c2036361285005c965.pdf"], "doi": []}, {"id": "c1f90da3285e979bf5f9e5bcf6f98df6dd2d835c", "title": "Spatial Genetic Structure of the Abundant and Widespread Peatmoss Sphagnum magellanicum Brid.", "addresses": [{"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c1f9/0da3285e979bf5f9e5bcf6f98df6dd2d835c.pdf"], "doi": []}, {"id": "1897e4ffc0773559f3f0f2885ea0438c96f9acbd", "title": "Improving the Quality of Recommendations for Users and Items in the Tail of Distribution", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052769"]}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "504c7e68cade9fa9f22e702736ecc9bf7cec53aa", "title": "Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04397.pdf"], "doi": []}, {"id": "3f9cc53b4ee7e1960de131a43b68c749d1752336", "title": "New Expenditure Data in the Panel Study of Income Dynamics: Comparisons with the Consumer Expenditure Survey Data", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f9c/c53b4ee7e1960de131a43b68c749d1752336.pdf"], "doi": []}, {"id": "611dc86c37f56d11683b437e28a4c2b7dab4f189", "title": "Future perspectives in melanoma research \u201cMelanoma Bridge\u201d, Napoli, November 30th\u20133rd December 2016", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://translational-medicine.biomedcentral.com/track/pdf/10.1186/s12967-017-1341-2?site=translational-medicine.biomedcentral.com", "https://www.zora.uzh.ch/id/eprint/142690/1/730_Ascierto_PA_._et_al._Future_perspectives_in_melanoma_research_J_Transl_Med._2017.pdf"], "doi": ["https://doi.org/10.1186/s12967-017-1341-2", "https://www.ncbi.nlm.nih.gov/pubmed/29145885"]}, {"id": "2edaa17229438130a487af1fa5c0bdf66df13e4b", "title": "Metamorphic Testing: A Review of Challenges and Opportunities", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Victoria University", "source_name": "Victoria University, Melbourne, Australia", "street_adddress": "Ballarat Rd, Footscray VIC 3011, Australia", "lat": "-37.79369300", "lng": "144.89873400", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143561"]}, {"id": "0cfa5f47c828429132fda7b7e251824958993249", "title": "Overexpression of Specific CD44 Isoforms Is Associated with Aggressive Cell Features in Acquired Endocrine Resistance", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0cfa/5f47c828429132fda7b7e251824958993249.pdf"], "doi": []}, {"id": "4523c9185a0ceb4f90a2c33ff1e259fa29d7679b", "title": "A Comprehensive Genomic Analysis Reveals the Genetic Landscape of Mitochondrial Respiratory Chain Complex Deficiencies", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4523/c9185a0ceb4f90a2c33ff1e259fa29d7679b.pdf"], "doi": []}, {"id": "d4c51aa0ee02855ec8b70663c9d2a0c71b0d6b07", "title": "Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling", "addresses": [{"name": "Leiden University Medical Center", "source_name": "Division of Image Processing, Leiden University Medical Center, Netherlands", "street_adddress": "Albinusdreef 2, 2333 ZA Leiden, Netherlands", "lat": "52.16770960", "lng": "4.47747360", "type": "edu", "country": "Netherlands"}, {"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d4c5/1aa0ee02855ec8b70663c9d2a0c71b0d6b07.pdf"], "doi": []}, {"id": "29f0da62e38843381bf358f333734ade69f2aecb", "title": "Ribosome reinitiation can explain length-dependent translation of messenger RNA", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5cc1/0b0a0f8ab4b651ccb5059493c42dc8f06836.pdf"], "doi": []}]} \ No newline at end of file +{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "dataset": {"key": "uccs", "name_short": "UCCS", "name_display": "UCCS", "name_full": "UnConstrained College Students Dataset", "purpose": "Face recognition, face detection", "comment": "", "created_by": "University of Colorado Colorado Springs (US)", "funded_by": "ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR", "funded_by_short": "ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR", "used_by": "NIST, IARPA Janus, Beckman Institute, Vision Semantics Ltd.", "license": "mODC-By", "url": "http://vast.uccs.edu/Opensetface/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "2012", "year_end": "2013", "year_published": "2016", "ongoing": "", "images": "16,149 ", "videos": "", "tracklets": "", "identities": "1,732 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "75,748 ", "female": "", "male": "", "landmarks": "", "width": "5184", "height": "3456", "color": "Y", "gray": "", "tags": "fr, fd, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "Y", "berit": "Y", "charlie": "", "notes": "errors, berit. Which source says \"4362\" ids?", "derivative_of": "", "": ""}, "paper": {"paper_id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "key": "uccs", "title": "Large scale unconstrained open set face database", "year": "2013", "pdf": [], "address": {"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}, "name": "UCCS", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712756"]}, "addresses": [{"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}], "additional_papers": [{"paper_id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "key": "uccs", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "year": "2017", "pdf": [], "address": "", "name": "UCCS", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}], "citations": [{"id": "c50e498ede6f5216cffd0645e747ce67fae2096a", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Institute of Information Engineering, CAS, Beijing, China", "source_name": "Institute of Information Engineering, CAS, Beijing, China", "street_adddress": "Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042", "lat": "39.97426000", "lng": "116.21589000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09998.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "63d64d07966d4d128581246a891ff1d3dd3a2a96", "title": "Learning face similarity for re-identification from real surveillance video: A deep metric solution", "addresses": [{"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272704", "http://doi.org/10.1109/BTAS.2017.8272704"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04153.pdf"], "doi": []}, {"id": "3531332efe19be21e7401ba1f04570a142617236", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"], "doi": []}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Noblis, Annandale, VA", "source_name": "Noblis, Annandale, VA, USA", "street_adddress": "2002 Edmund Halley Dr, Reston, VA 20191, USA", "lat": "38.95187000", "lng": "-77.36325900", "type": "company", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "title": "Labeled Faces in the Wild: A Survey", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf"], "doi": []}, {"id": "e94c2c9be4abd121d3d601bfff27edf35f3514ad", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "efc8359dd8aa725da5dbf38bffcb691d6c99d631", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8554301"]}, {"id": "7fcdace7dcdf40fac377d88c116280ee1b416fcc", "title": "PAWE: Polysemy Aware Word Embeddings", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206101"]}, {"id": "449ec968566a7f46192a6af8a4c5ee127c5bf1e4", "title": "Scanning the Science-Society Horizon", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/449e/c968566a7f46192a6af8a4c5ee127c5bf1e4.pdf"], "doi": []}, {"id": "91844097804b8875731c0ae51e5986552c992f91", "title": "Intentions to seek counseling in first-generation and continuing-generation college students.", "addresses": [{"name": "University of Denver", "source_name": "University of Denver", "street_adddress": "University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA", "lat": "39.67665410", "lng": "-104.96220300", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9184/4097804b8875731c0ae51e5986552c992f91.pdf"], "doi": []}, {"id": "01e851ac46b059ab3a3d94da8d2a38c1a9996726", "title": "Excessive use of WeChat, social interaction and locus of control among college students in China", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/01e8/51ac46b059ab3a3d94da8d2a38c1a9996726.pdf"], "doi": []}, {"id": "4d6cf87596fc2dfe0b8ba58286be65dcf08aa248", "title": "Psychological Help-seeking Intentions among Filipino College Students Across Three Common Problem Areas : A Replication Study", "addresses": [{"name": "De La Salle University", "source_name": "De La Salle University, Manila, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d6c/f87596fc2dfe0b8ba58286be65dcf08aa248.pdf"], "doi": []}, {"id": "f2f16ff81eaa9f64803532e93f613e972582ac32", "title": "Current Alcohol Use is Associated with Sleep Patterns in First-Year College Students.", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f2f1/6ff81eaa9f64803532e93f613e972582ac32.pdf"], "doi": []}, {"id": "5309e88ae3da04eca9b2b052281bac63c606ad7b", "title": "Cognitive reappraisal and expressive suppression: Links to racial-ethnic discrimination and adjustment among Latino/a and Asian-heritage college students.", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.csun.edu/~qhuynh/Research_files/JA2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27598799", "https://doi.org/10.1016/j.adolescence.2016.08.012"]}, {"id": "13097de9da0dee93fa2fe61e9d6aaa55f056ec03", "title": "Examining the Relationships of Image and Attitude on Visit Intention to Korea among Tanzanian College Students : The Moderating Effect of Familiarity", "addresses": [{"name": "Inha University", "source_name": "Intelligent Technology Laboratory, Inha University, Incheon, Korea", "street_adddress": "100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea", "lat": "37.45002210", "lng": "126.65348800", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1309/7de9da0dee93fa2fe61e9d6aaa55f056ec03.pdf"], "doi": []}, {"id": "8164adef945207810ed22e59b63695ac93b7f463", "title": "Evaluating the invariance of the Multigroup Ethnic Identity Measure across foreign-born, second-generation and later-generation college students in the United States.", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8164/adef945207810ed22e59b63695ac93b7f463.pdf"], "doi": []}, {"id": "e3fc33b0d4c4df8510aacdb82a74d05a26c65c5b", "title": "AGE , ATTENTION , AND OTS IN A CONSTRAINED VS UNCONSTRAINED TASK", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3fc/33b0d4c4df8510aacdb82a74d05a26c65c5b.pdf"], "doi": []}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "addresses": [{"name": "Northeastern State University", "source_name": "Northeastern State University, OK, USA", "street_adddress": "600 N Grand Ave, Tahlequah, OK 74464, USA", "lat": "35.92114100", "lng": "-94.96590400", "type": "edu", "country": "United States"}, {"name": "Shanghai University of Engineering Science", "source_name": "Shanghai University of Engineering Science, Shanghai, China", "street_adddress": "333 Longteng Rd, Songjiang Qu, Shanghai Shi, China", "lat": "31.05723000", "lng": "121.20843700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307067", "http://doi.org/10.1109/ACCESS.2018.2812794"]}, {"id": "f8ec6a0dcb16db8759ff5ec8e6acaea63817496e", "title": "DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273639"]}, {"id": "dbf809ff1beeb9fc5c09c5c0e3e2aac0cf48e957", "title": "Demand Estimation in the College Admissions \u2019 Problem : Should We Assume Truth Telling ?", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbf8/09ff1beeb9fc5c09c5c0e3e2aac0cf48e957.pdf"], "doi": []}, {"id": "0dba189dfd7dba6bad4fc93a39aa86587242c157", "title": "Reciprocal Relationship between Internet Addiction and Network-Related Maladaptive Cognition among Chinese College Freshmen: A Longitudinal Cross-Lagged Analysis", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Zhejiang Normal University", "source_name": "Zhejiang Normal University", "street_adddress": "\u6d59\u6c5f\u5e08\u8303\u5927\u5b66, 688, \u8fce\u5bbe\u5927\u9053, \u67f3\u6e56\u82b1\u56ed, \u91d1\u534e\u5e02, \u5a7a\u57ce\u533a (Wucheng), \u91d1\u534e\u5e02 / Jinhua, \u6d59\u6c5f\u7701, 321004, \u4e2d\u56fd", "lat": "29.13646725", "lng": "119.63768652", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0dba/189dfd7dba6bad4fc93a39aa86587242c157.pdf"], "doi": []}, {"id": "16b59b54be4c26b709e7339c59cd4a382b4add32", "title": "College Students' Plans for Graduate or Professional School: a Comparison of Different Racial and Ethnic Groups", "addresses": [{"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/16b5/9b54be4c26b709e7339c59cd4a382b4add32.pdf"], "doi": []}, {"id": "1acee01a3d5c33435b109c2d290bc32848080944", "title": "Stan: A Probabilistic Programming Language.", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/70ae/78b587d23de70eeb024d708ed3981f1340ed.pdf"], "doi": []}, {"id": "fa364d25fc2ec5adf604c36c7a0a0bc09d66dee0", "title": "Work-life Balance Decision-making of Norwegian Students : Implications for Human Resources Management", "addresses": [{"name": "University of Agder", "source_name": "University of Agder", "street_adddress": "UiA, Vegard Hauges plass, Gimlemoen, Kvadraturen, Kristiansand, Vest-Agder, 4630, Norge", "lat": "58.16308805", "lng": "8.00144966", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab6f/87a44f9739805a78fd8ab62dfa784666d60e.pdf"], "doi": []}, {"id": "fa4d1db4d6fd47f2040a488b2b8abbbd65e663a3", "title": "Student Ownership of Projects in an Upper-Division Optics Laboratory Course: A Multiple Case Study of Successful Experiences.", "addresses": [{"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05378.pdf"], "doi": []}, {"id": "654dcab1b2f3bddd3c57559143c8161cfe6be5e0", "title": "Acculturation and School Adjustment of Immigrant Youth in Six European Countries: Findings from the Programme for International Student Assessment (PISA)", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}, {"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Denver", "source_name": "University of Denver", "street_adddress": "University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA", "lat": "39.67665410", "lng": "-104.96220300", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d27/99fd40ea1fc5e87450afa5b67c61a9371261.pdf"], "doi": []}, {"id": "272c5512b5f93a561e8aab6ba42a6b9d6ae81dfa", "title": "Primary Science Teaching to Bicolano Students : In Bicol , English or Filipino ?", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/272c/5512b5f93a561e8aab6ba42a6b9d6ae81dfa.pdf"], "doi": []}, {"id": "a3fb741ab4707b1641264dbb58b9a4ca633e7436", "title": "The Effects of Student Loans on the Provision and Demand for Higher Education \u2217", "addresses": [{"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3fb/741ab4707b1641264dbb58b9a4ca633e7436.pdf"], "doi": []}, {"id": "976fd3e7309660679ef21badc40c2a6824a15aae", "title": "Measuring Burnout Among University Students: Factorial Validity, Invariance, and Latent Profiles of the Italian Version of the Maslach Burnout Inventory Student Survey (MBI-SS)", "addresses": [{"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}, {"name": "Universidade de Lisboa, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/976f/d3e7309660679ef21badc40c2a6824a15aae.pdf"], "doi": []}, {"id": "8859e85f18363a70f573a6382c1fbd687b268253", "title": "Benefits and drawbacks of social non-drinking identified by British university students.", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["http://roar.uel.ac.uk/7209/1/2017_dar_Benefits%20and%20drawbacks%20of%20social%20non-drinking%20identified%20by%20British%20university%20students.pdf", "http://sro.sussex.ac.uk/71334/1/__smbhome.uscs.susx.ac.uk_ellenaj_Desktop_SRO_after%20august_Conroy_deVisser_inPress_BenefitsNondrinking.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28940414", "https://doi.org/10.1111/dar.12610"]}, {"id": "d1012d6588475ecede84d99652903152db597221", "title": "Student Attitudes ( ASSA ) : A Short Review And Validation Of A New Instrument", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}, {"name": "Monash University", "source_name": "Monash University", "street_adddress": "Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.78397455", "lng": "144.95867433", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d101/2d6588475ecede84d99652903152db597221.pdf"], "doi": []}, {"id": "4e80f061253bd916f3f4a7ca7e38dac9cd0dbe50", "title": "WHY DO I STUDY ? THE MEDIATING EFFECT OF MOTIVATION AND SElF-rEGUlATION ON STUDENT PErFOrMANCE", "addresses": [{"name": "Maranatha Christian University", "source_name": "Faculty of Information Technology, Maranatha Christian University, Indonesia", "street_adddress": "M.P.H, Jl. Surya Sumantri No.65, Sukawarna, Sukajadi, Kota Bandung, Jawa Barat 40164, Indonesia", "lat": "-6.88647290", "lng": "107.58072670", "type": "edu", "country": "Indonesia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e80/f061253bd916f3f4a7ca7e38dac9cd0dbe50.pdf"], "doi": []}, {"id": "07a5c4ba84268708146aa4bf5cad9491b3e35051", "title": "Deep Reinforcement Learning for Dialogue Generation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01541.pdf"], "doi": []}, {"id": "ef6236823a515f7e34c970b32f3dc19d4c1cf6a9", "title": "Direct manipulation is better than passive viewing for learning anatomy in a three-dimensional virtual reality environment", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.tc.columbia.edu/faculty/jbb21/faculty-profile/files/JangVitaleBlack-Virtual-CAE.pdf"], "doi": ["https://doi.org/10.1016/j.compedu.2016.12.009"]}, {"id": "2ece3dcd35d56acacf7979e47e6965a7caa752ff", "title": "HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591265"]}, {"id": "5698cacd11c41136be51c0a05a0400f7510618d0", "title": "Using wavelets to categorize student attention patterns", "addresses": [{"name": "Mississippi State University", "source_name": "Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA", "street_adddress": "200 Research Blvd, Starkville, MS 39759, USA", "lat": "33.47359400", "lng": "-88.79354200", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7757403"]}, {"id": "9b2320fe87ac907ad23c974fd2944fa1cb1b2f30", "title": "Leveraging Digital Communities of Practice: How Asynchronous Digital Collaboration Afforded a Complex Reading/Writing Dialogue for Secondary School Students", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b23/20fe87ac907ad23c974fd2944fa1cb1b2f30.pdf"], "doi": []}, {"id": "a79682e071c5cd224844e05a0f06b29621df1b8f", "title": "Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927754"]}, {"id": "b41d585246360646c677a8238ec35e8605b083b0", "title": "Student engagement study based on multi-cue detection and recognition in an intelligent learning environment", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6017-2"]}, {"id": "ca2961d5f65695b4455be6b671a27f2eb0b43b24", "title": "Why Students Fail in History : A Minor Case Study in Malaysia and Solutions from Cognitive Psychology Perspective", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ca29/61d5f65695b4455be6b671a27f2eb0b43b24.pdf"], "doi": []}, {"id": "88817b645d4843e366f3aa2a252e428a831548bc", "title": "Parental Support , Savings and Student Loan Repayment \u2217", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8881/7b645d4843e366f3aa2a252e428a831548bc.pdf"], "doi": []}, {"id": "e3c4dfc3272f515d28f60c5013e784b5d85c6a30", "title": "The Relation between Maternal Work Hours and Primary School Students\u2019 Affect in China: The Role of the Frequency of Mother\u2013Child Communication (FMCC) and Maternal Education", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}, {"name": "Hebei University", "source_name": "Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China", "street_adddress": "Baoding, Hebei, China", "lat": "38.87443400", "lng": "115.46458900", "type": "edu", "country": "China"}, {"name": "Shaanxi Normal University", "source_name": "Shaanxi Normal University, Xi\u2019an, China", "street_adddress": "China, Shaanxi, Xi'an, Chang'an, \u957f\u5b89\u5357\u8def", "lat": "34.15759600", "lng": "108.89340800", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "University of Granada", "source_name": "University of Granada, UK", "street_adddress": "Avda. del Hospicio, 18071 Granada, Spain", "lat": "37.18393980", "lng": "-3.60101820", "type": "edu", "country": "Spain"}, {"name": "Universiti Sains Malaysia, Malaysia", "source_name": "Universiti Sains Malaysia, Malaysia", "street_adddress": "11800 Gelugor, Penang, Malaysia", "lat": "5.35593370", "lng": "100.30251770", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3c4/dfc3272f515d28f60c5013e784b5d85c6a30.pdf"], "doi": []}, {"id": "091c511cdfd389a53e53fe034cbd19951a77764e", "title": "Effect of Gender , Guilt , and Shame on BYU Business School Students \u2019 Innovatio n : Structural Equation Modeling Approach", "addresses": [{"name": "Brigham Young University", "source_name": "Brigham Young University, Provo, USA", "street_adddress": "Provo, UT 84602, USA", "lat": "40.25184350", "lng": "-111.64931560", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/091c/511cdfd389a53e53fe034cbd19951a77764e.pdf"], "doi": []}, {"id": "8b8db6e602e0854c2497724370d460db248cb81e", "title": "Disabled Student Voice on Online Video Lectures: A Small Step towards Blended Learning Approaches in an Inclusive Curriculum Design", "addresses": [{"name": "Birmingham City University", "source_name": "Birmingham City University, Birmingham, UK", "street_adddress": "University House, 15 Bartholomew Row, Birmingham B5 5JU, UK", "lat": "52.48227400", "lng": "-1.88882010", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8b8d/b6e602e0854c2497724370d460db248cb81e.pdf"], "doi": []}, {"id": "8eaf745e688e715e967da4208b866e1005c5fda5", "title": "2018 2018-2 Parental Support , Savings and Student Loan Repayment", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8eaf/745e688e715e967da4208b866e1005c5fda5.pdf"], "doi": []}, {"id": "d37debed1e77ca82e8969cc91b6e18b0888cebaa", "title": "From mechanic to designer: Evolving perceptions of elementary students over three years of engineering instruction", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d37d/ebed1e77ca82e8969cc91b6e18b0888cebaa.pdf"], "doi": []}, {"id": "6b687cafa042f0342ace8aeeca1dd566ae96eab9", "title": "The impact of blogging on the facilitation of critical literacy in adolescent students", "addresses": [{"name": "Rowan University", "source_name": "Rowan University", "street_adddress": "Rowan University, Esbjornson Walk, Glassboro, Gloucester County, New Jersey, 08028, USA", "lat": "39.71035260", "lng": "-75.11932666", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b68/7cafa042f0342ace8aeeca1dd566ae96eab9.pdf"], "doi": []}, {"id": "6fca28477e788950d8adecd0b18e6eac45d80a30", "title": "Deep Learning Based Binaural Speech Separation in Reverberant Environments", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}, {"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886357"]}, {"id": "d41d2f7753d91e51d54e7d22953e7bbd1dda9f36", "title": "Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli.", "addresses": [{"name": "City College of New York", "source_name": "The City College of New York, New York, NY 10031, USA", "street_adddress": "CCNY, 160, Convent Avenue, Manhattanville, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10031, USA", "lat": "40.81819805", "lng": "-73.95100898", "type": "edu", "country": "United States"}, {"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eb21/1cc118a749849e34185d18e02933bc182e2a.pdf"], "doi": []}, {"id": "59c31447cc06c007b7f63cc4b8a183c739ed9de2", "title": "Revisiting detection thresholds for redirected walking: combining translation and curvature gains", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2931018"]}, {"id": "6498e11d48b8ccf641848e77f83d6af051f7e2c2", "title": "Linear Algebraic Structure of Word Senses, with Applications to Polysemy", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1601.03764.pdf"], "doi": []}, {"id": "41d36a4a62daec60df005c2494f15962e76fc68a", "title": "An Indoor Location-Aware System for an IoT-Based Smart Museum", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7348638"]}, {"id": "3086806c88f1be5fe8dbe894bf30fe8aa9402259", "title": "Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges.", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3086/806c88f1be5fe8dbe894bf30fe8aa9402259.pdf"], "doi": []}, {"id": "89c894c5d3a6488ef7923c9baa1a656d1cded290", "title": "Command Filter-Based Adaptive Neural Tracking Controller Design for Uncertain Switched Nonlinear Output-Constrained Systems", "addresses": [{"name": "BoHai University", "source_name": "BoHai University, JinZhou, China", "street_adddress": "19 Keji Rd, Taihe Qu, Jinzhou Shi, Liaoning Sheng, China, 121000", "lat": "41.08656400", "lng": "121.11885400", "type": "edu", "country": "China"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7815382"]}, {"id": "2f27b2e9905e5a5bb1ce7294fe121ba236eae27f", "title": "Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117386"]}, {"id": "689d6bc6e99bbfedfabc0654724139348dbae37c", "title": "Object-Level Video Advertising: An Optimization Framework", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558199", "http://doi.org/10.1109/TII.2016.2605629"]}, {"id": "54372f57bc6b1cfffc894a54b1066abb5d439af2", "title": "A novel IoT-based wireless system to monitor heart rate: student research abstract", "addresses": [{"name": "Miami University", "source_name": "Miami University", "street_adddress": "1601 University Blvd, Hamilton, OH 45011, USA", "lat": "39.37778800", "lng": "-84.56301210", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019929"]}, {"id": "859678607a6759b558a8c463996e52fcf9bce070", "title": "Perfectionism Is Increasing Over Time: A Meta-Analysis of Birth Cohort Differences From 1989 to 2016.", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8596/78607a6759b558a8c463996e52fcf9bce070.pdf"], "doi": []}, {"id": "0dc96e05b0e7471528e00815f0802bbb5945be4a", "title": "Implications of Emotion Expressivity for Daily and Trait Interpersonal and Intrapersonal Functioning Across Ethnic Groups", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dc9/6e05b0e7471528e00815f0802bbb5945be4a.pdf"], "doi": []}, {"id": "8197e29670539cf282e9cbf62fbf177d83cdfb55", "title": "All You Need Is Facebook Friends? Associations between Online and Face-to-Face Friendships and Health", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Dalhousie University", "source_name": "Dalhousie University, Halifax, NS, Canada", "street_adddress": "6299 South St, Halifax, NS B3H 4R2, Canada", "lat": "44.63658120", "lng": "-63.59165550", "type": "edu", "country": "Canada"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8197/e29670539cf282e9cbf62fbf177d83cdfb55.pdf"], "doi": []}, {"id": "9cc578662a1d8f7e2ae869a22b586dc0e53c6e38", "title": "De-emphasizing Content to Study the Relationship between Meaning, Messages, and Content in IM Systems", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3064719"]}, {"id": "526f6f282f7374bffad41cee80be4bafc5c837a1", "title": "What You Don \u2019 t Know Can Help You in School Assignment", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/526f/6f282f7374bffad41cee80be4bafc5c837a1.pdf"], "doi": []}, {"id": "f3db61376ef74e192f74c1e81d9d31e5ecd46dcd", "title": "From Fair Decision Making To Social Equality", "addresses": [{"name": "American University of Beirut", "source_name": "American University of Beirut, Beirut, Lebanon", "street_adddress": "Bliss, Bayrut, Lebanon", "lat": "33.90083590", "lng": "35.48074400", "type": "edu", "country": "Lebanon"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287599"]}, {"id": "36b67b24a9fef6f7b383f1aff2500e07d58978d1", "title": "Credit Constraints and Demand for Higher Education: Evidence from Financial Deregulation", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://mpra.ub.uni-muenchen.de/48726/1/MPRA_paper_48726.pdf"], "doi": ["https://doi.org/10.1162/REST_a_00558"]}, {"id": "a9ff91ee66a3693405d381e8c8fc3ff878860bbc", "title": "The Impact of Bodily States on Divergent Thinking: Evidence for a Control-Depletion Account", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}, {"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a9ff/91ee66a3693405d381e8c8fc3ff878860bbc.pdf"], "doi": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "2a56621c1f614a432ba3a945771c05433e2ccb6e", "title": "Sensorimotor-Conceptual Integration in Free Walking Enhances Divergent Thinking for Young and Older Adults", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2a56/621c1f614a432ba3a945771c05433e2ccb6e.pdf"], "doi": []}, {"id": "2e1e55e6299dca046e6e356145ee3c4f42b23cd3", "title": "Opportunities and obstacles for deep learning in biology and medicine", "addresses": [{"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Vanderbilt University", "source_name": "Vanderbilt Univ., Nashville, TN, USA", "street_adddress": "2201 West End Ave, Nashville, TN 37235, USA", "lat": "36.14470340", "lng": "-86.80265510", "type": "edu", "country": "United States"}, {"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18c4/f0bddcb89e23af5b7e75fe41af61615d39e2.pdf"], "doi": []}, {"id": "f971122f3b3d38e399c976b87bb5984b721a2139", "title": "Expressive genetic programming: concepts and applications", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3207867"]}, {"id": "44ea15861a350a5bd7f3c50e2ef26e835bf43185", "title": "Robust estimation of risks from small samples.", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1311.5052.pdf"], "doi": []}, {"id": "d37127fc436a4c6456230e1caf0065d877eb9dcb", "title": "Continuous user authentication via unlabeled phone movement patterns", "addresses": [{"name": "Syracuse University", "source_name": "Syracuse University", "street_adddress": "Syracuse, NY, USA", "lat": "43.03915340", "lng": "-76.13511580", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272696"]}, {"id": "64147ef0108de9de438db2b9e1abbf956d3faea6", "title": "On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution", "addresses": [{"name": "Adobe Research, Bangalore, India", "source_name": "Adobe Research, Bangalore, India", "street_adddress": "Adobe Tower, Block A, Prestige Platina Tech Park, Marathahalli-Sarjapur Outer Ring Rd, Bhoganahalli Village, Varthur Hobli, Kadubeesanahalli, Bengaluru, Karnataka 560087, India", "lat": "12.94390340", "lng": "77.69684670", "type": "company", "country": "India"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8338444"]}, {"id": "0cd7e263e7a2de2b6e38e99acc182aa159f87221", "title": "Supporting Whole-Class Collaborative Inquiry in a Secondary Mathematics Classroom", "addresses": [{"name": "University of Connecticut", "source_name": "University of Connecticut", "street_adddress": "University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA", "lat": "41.80937790", "lng": "-72.25364140", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cd7/e263e7a2de2b6e38e99acc182aa159f87221.pdf"], "doi": []}, {"id": "8b4ad4aa6d8c8611c59a40a1b63975f51ee9ae87", "title": "Sub-decadal variations in outlet glacier terminus positions in Victoria Land, Oates Land and George V Land, East Antarctica (1972\u20132013)", "addresses": [{"name": "Newcastle University", "source_name": "Newcastle University", "street_adddress": "Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8828/9fab20355505a4653c63ef7e81bada4a2ad0.pdf"], "doi": []}, {"id": "79e16fc0d483075ffb05ef607e81c89c830ec63e", "title": "Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840054"]}, {"id": "a8dd4219745c5f3b840bb09ab882a574823161bb", "title": "Faster Teaching via POMDP Planning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cocosci.berkeley.edu/tom/papers/FasterTeachPOMDPPlanning.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26400190", "https://doi.org/10.1111/cogs.12290", "https://www.wikidata.org/entity/Q43731036"]}, {"id": "0419539267659c9bcdd352bf0d8f0fccbfa974e9", "title": "The Facebook Paradox: Effects of Facebooking on Individuals\u2019 Social Relationships and Psychological Well-Being", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0419/539267659c9bcdd352bf0d8f0fccbfa974e9.pdf"], "doi": []}, {"id": "0e130906680ffa8e29d9b9b8257d85e9345dff0b", "title": "Solution and Analysis of TDOA Localization of a Near or Distant Source in Closed Form", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8521706"]}, {"id": "bfdc9ff45db76fce9054476e35739a36199d026b", "title": "Becoming physics people : Development of integrated physics identity through the Learning Assistant experience", "addresses": [{"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bfdc/9ff45db76fce9054476e35739a36199d026b.pdf"], "doi": []}, {"id": "a1b3da114b3c85feec014a26d8c88cb2e1730419", "title": "Reducing prejudice and promoting positive intergroup attitudes among elementary-school children in the context of the Israeli-Palestinian conflict.", "addresses": [{"name": "Ben-Gurion University of the Negev", "source_name": "Ben-Gurion University of the Negev, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://coller.tau.ac.il/sites/coller-english.tau.ac.il/files/media_server/Recanati/management/publications/tadmor/Reducingprejudiceinchildren.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27425566", "https://doi.org/10.1016/j.jsp.2016.04.003"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "16286e98c638bd3a45bb8d7f4f97dcababa32654", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698561"]}, {"id": "b2003ddc62db9aea4eaebf63c5238491ab1f14a4", "title": "Approximate Discovery of Functional Dependencies for Large Datasets", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983781"]}, {"id": "0334d06fe8cc1fb5e337fd8dffe58fcabf7cb7b4", "title": "Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3300019"]}, {"id": "89e411cc7e7828d9a28e3def4533295e3b5bd6ac", "title": "[2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure].", "addresses": [{"name": "Wroclaw Medical University", "source_name": "Wroclaw Medical University, Wroclaw, Poland", "street_adddress": "Rektorat, wybrze\u017ce Ludwika Pasteura 1, 50-367 Wroc\u0142aw, Poland", "lat": "51.10891470", "lng": "17.06888650", "type": "edu", "country": "Poland"}, {"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/89e4/11cc7e7828d9a28e3def4533295e3b5bd6ac.pdf"], "doi": []}, {"id": "bd88b46cb8420c9937925e0343058e731e373705", "title": "Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Technical University of Denmark", "source_name": "Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark", "street_adddress": "Bygning 324, 2800 Kongens Lyngby, Denmark", "lat": "55.78385100", "lng": "12.51846160", "type": "edu", "country": "Denmark"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://exordio.qfb.umich.mx/archivos%20PDF%20de%20trabajo%20UMSNH/2016/CellT.pdf", "http://orbit.dtu.dk/files/140198020/befo_nihms806693.pdf", "http://www.immunology.umn.edu/sites/immunology.umn.edu/files/science.aaf1490.full_.pdf"], "doi": ["https://doi.org/10.1126/science.aaf1490", "https://www.ncbi.nlm.nih.gov/pubmed/26940869"]}, {"id": "3312eb79e025b885afe986be8189446ba356a507", "title": "MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07027.pdf"], "doi": []}, {"id": "eb2b4eeaccf52725c51efaee5648fc08cc0946a7", "title": "Function Point Analysis for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962613"]}, {"id": "88557e79a4a9a40bb9252efff475fabb36df27be", "title": "Preliminary Causal Discovery Results with Software Effort Estimation Data", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172876"]}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "995e7bc1f833347844468a4b77e3900d2997f5e1", "title": "Using Software Non-Functional Assessment Process to Complement Function Points for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2962615"]}, {"id": "9f7970f363fc70bc01449f3b0596a00344400987", "title": "TransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2906395"]}, {"id": "7cffcb4f24343a924a8317d560202ba9ed26cd0b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06997.pdf"], "doi": []}, {"id": "131fdffb1abee1d57f304684ba3bfb29a053ae86", "title": "Multiple mechanisms disrupt the let-7 microRNA family in neuroblastoma", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard Medical School", "source_name": "Harvard Medical School and Brigham and Women's Hospital, Boston, USA", "street_adddress": "75 Francis St, Boston, MA 02115, USA", "lat": "42.33592480", "lng": "-71.10669450", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://collinslab.mit.edu/files/nature_daley.pdf"], "doi": ["https://doi.org/10.1038/nature18632", "https://dspace.mit.edu/openaccess-disseminate/1721.1/107912", "https://www.ncbi.nlm.nih.gov/pubmed/27383785"]}, {"id": "bbf91d2053571dcf511022ddf1b28a5ee3146fa6", "title": "Gut Microbiota Linked to Sexual Preference and HIV Infection.", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://edoc.mdc-berlin.de/15521/1/15521oa.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27077120", "https://doi.org/10.1016/j.ebiom.2016.01.032"]}, {"id": "7ae0e6b1819feca421c58bca76661520a724288a", "title": "Chloroplast phylogenomic analyses reveal the deepest-branching lineage of the Chlorophyta, Palmophyllophyceae class. nov.", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.vliz.be/imisdocs/publications/290122.pdf", "https://biblio.ugent.be/publication/7257892/file/7257935.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27157793", "https://doi.org/10.1038/srep25367"]}, {"id": "c469253f09983e58633b258fd8b10b16a7661ede", "title": "Evolution of the global phosphorus cycle", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://reinhard.gatech.edu/uploads/5/4/1/0/54106417/reinhard_nature_2017_si.pdf", "http://web.gps.caltech.edu/~wfischer/pubs/Reinhardetal2017.pdf", "https://people.earth.yale.edu/sites/default/files/files/Planavsky/66_%20Reinhard_nature_2017.pdf"], "doi": ["https://doi.org/10.1038/nature20772", "https://www.ncbi.nlm.nih.gov/pubmed/28002400"]}, {"id": "21f4efddb7abea3c63a1c13486dc38b7ba6ee64a", "title": "Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "Aston University", "source_name": "Aston University", "street_adddress": "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "lat": "52.48620785", "lng": "-1.88849915", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/107e/c6ea50f2b62a6652ef23b2b868a164bdcc25.pdf"], "doi": []}, {"id": "a0cead1e49aaf62808f7c747cd192180dcc45cf9", "title": "COSMIC Function Points Evaluation for Software Maintenance", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172874"]}, {"id": "33858d13c6d294cabf8d0b6683344c4c1d6faa34", "title": "A Hybrid Approach to Functional Dependency Discovery", "addresses": [{"name": "Hasso Plattner Institute, Potsdam, Germany", "source_name": "Hasso Plattner Institute, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2915203"]}, {"id": "68fe091f842c50a1776d6a250ce9b78dd7aeca8b", "title": "A fast and scalable hardware architecture for K-means clustering for big data analysis", "addresses": [{"name": "University of Mumbai", "source_name": "Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India", "street_adddress": "Plot No. 12, Sector-22, Opp. Nerul Railway Station, Phase II, Nerul West, Navi Mumbai, Maharashtra 400706, India", "lat": "19.02964890", "lng": "73.01666930", "type": "edu", "country": "India"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68fe/091f842c50a1776d6a250ce9b78dd7aeca8b.pdf"], "doi": []}, {"id": "eaa6119a857efd6843d0363841d8169ae7e2cf6c", "title": "Clinical, ultrasound and molecular biomarkers for early prediction of large for gestational age infants in nulliparous women: An international prospective cohort study", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}, {"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e52/666d28f306e6524bc5dd8e159ed135e8fec1.pdf"], "doi": []}, {"id": "5e0a6e47feba6fcba4cc64334e56e5107aa5eea5", "title": "Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6ca/fd08a286cf2323b72a2d5cbf02a668f53478.pdf"], "doi": []}, {"id": "bc79a0064582844c762ee329582b5570e59276f9", "title": "Analyzing the relationship between project productivity and environment factors in the use case points method", "addresses": [{"name": "University of Sharjah", "source_name": "University of Sharjah, Sharjah, United Arab Emirates", "street_adddress": "University City Rd - Sharjah - United Arab Emirates", "lat": "25.28677080", "lng": "55.47837140", "type": "edu", "country": "United Arab Emirates"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09920.pdf"], "doi": []}, {"id": "e18803b9506bb411690dffcc6050055cbdb0d722", "title": "Conflicting phylogenomic signals reveal a pattern of reticulate evolution in a recent high-Andean diversification (Asteraceae: Astereae: Diplostephium).", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://static1.squarespace.com/static/5065c999c4aac831ab270535/t/592f7bdbf5e2317ce97ee0d8/1496284125771/Vargas_et_al-2017-New_Phytologist.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28333396", "https://doi.org/10.1111/nph.14530"]}, {"id": "f5ca8690fc68cb82f6f669ba1dc8e2d5a9318707", "title": "Comparative Analysis of Six Lagerstroemia Complete Chloroplast Genomes", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Beijing Forestry University", "source_name": "Beijing Forestry University, Beijing, China", "street_adddress": "35 Qinghua E Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "40.00448800", "lng": "116.34997230", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f5ca/8690fc68cb82f6f669ba1dc8e2d5a9318707.pdf"], "doi": []}, {"id": "b0a71efa0e830501246b0ba4f577cab8fb689c3a", "title": "Plastid Genome Comparative and Phylogenetic Analyses of the Key Genera in Fagaceae: Highlighting the Effect of Codon Composition Bias in Phylogenetic Inference", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Li\u00e8ge", "source_name": "Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Li\u00e8ge, Li\u00e8ge, Belgium", "street_adddress": "Grande Traverse 10, 4000 Li\u00e8ge, Belgium", "lat": "50.58596690", "lng": "5.56011930", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b0a7/1efa0e830501246b0ba4f577cab8fb689c3a.pdf"], "doi": []}, {"id": "6d82e835688d67f52a871ca0c1db0bbff33453a9", "title": "Interpreting the prediction process of a deep network constructed from supervised topic models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472113"]}, {"id": "8af9f7c920a87acb3ae127756f498a51b535790a", "title": "Exploring Contextual Engagement for Trauma Recovery", "addresses": [{"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Boult_Exploring_Contextual_Engagement_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015015", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.281", "http://doi.org/10.1109/CVPRW.2017.281"]}, {"id": "974faf12ef98578c8cec637c3c04e69bd959e957", "title": "The oral microbiota in colorectal cancer is distinctive and predictive", "addresses": [{"name": "National University of Ireland", "source_name": "National University of Ireland, Galway", "street_adddress": "University Rd, Galway, Ireland", "lat": "53.27702430", "lng": "-9.06148640", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/974f/af12ef98578c8cec637c3c04e69bd959e957.pdf"], "doi": []}, {"id": "5aa998cf8cb7b60627a6bfe29a569c7cca0f3644", "title": "Human Action Recognition from Multiple Views Based on View-Invariant Feature Descriptor Using Support Vector Machines", "addresses": [{"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5aa9/98cf8cb7b60627a6bfe29a569c7cca0f3644.pdf"], "doi": []}, {"id": "1060cadfc32dcaae347e09a74246a80445e0f4ef", "title": "Denial of Service Attack Detection using Multivariate Correlation Analysis", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905159"]}, {"id": "43e2f4b40af45559e96c54c59d3d01e8fb443bbf", "title": "Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}, {"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015165"]}, {"id": "4f0b7bb65a888059ddb56e9e51e98cffed1f95ed", "title": "Knockdown of long non-coding RNA PVT1 induces apoptosis and cell cycle arrest in clear cell renal cell carcinoma through the epidermal growth factor receptor pathway", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f0b/7bb65a888059ddb56e9e51e98cffed1f95ed.pdf"], "doi": []}, {"id": "20d9526b65b621d28c3a63bb28ac88f96304d326", "title": "Comparative Plastid Genomes of Primula Species: Sequence Divergence and Phylogenetic Relationships", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20d9/526b65b621d28c3a63bb28ac88f96304d326.pdf"], "doi": []}, {"id": "9726d81d91192cf679d88cbf36a7b38d2f2a5d34", "title": "Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated \u2018Omics Approach", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9726/d81d91192cf679d88cbf36a7b38d2f2a5d34.pdf"], "doi": []}, {"id": "3cb569d58312c1a9fd137a92ba06de1256e309e8", "title": "Chromium isotope systematics in the Connecticut River", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://people.earth.yale.edu/sites/default/files/files/Planavsky/71_%20Wu%20Cr%20CG%202017.pdf"], "doi": ["https://doi.org/10.1016/j.chemgeo.2017.03.009"]}, {"id": "2fda76076e5e3f32df15d8403fae623f0481fd8d", "title": "IOTSim: A simulator for analysing IoT applications", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://rranjans.files.wordpress.com/2016/08/iotsim2016.pdf"], "doi": ["https://doi.org/10.1016/j.sysarc.2016.06.008"]}, {"id": "a938d6daf03649bc2323b8d6a31a0a40d1f0eef5", "title": "The Evolution of Line-1 in Vertebrates.", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a938/d6daf03649bc2323b8d6a31a0a40d1f0eef5.pdf"], "doi": []}, {"id": "f5272cb770c0bd4e04444b3c12669af58e5f1365", "title": "The Complete Chloroplast Genome Sequences of Five Epimedium Species: Lights into Phylogenetic and Taxonomic Analyses", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f527/2cb770c0bd4e04444b3c12669af58e5f1365.pdf"], "doi": []}, {"id": "a64d5ff945c7d82b68ed900f2bc091d62edd4984", "title": "Topologically associated domains enriched for lineage-specific genes reveal expression-dependent nuclear topologies during myogenesis.", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a64d/5ff945c7d82b68ed900f2bc091d62edd4984.pdf"], "doi": []}, {"id": "664beeaad85c56c03019566eee8593b19ade263a", "title": "Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7296638"]}, {"id": "57955688c5abc9c2c945671a97dcb13d2401a3f0", "title": "Secure Data Obfuscation Scheme to Enable Privacy-Preserving State Estimation in Smart Grid AMI Networks", "addresses": [{"name": "Southern Illinois University", "source_name": "Southern Illinois University, Carbondale, USA", "street_adddress": "1263 Lincoln Dr, Carbondale, IL 62901, USA", "lat": "37.71002090", "lng": "-89.22259410", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360878"]}, {"id": "1c07af6771dac498afe3c2190d72e8af186c69ee", "title": "The endosomal transcriptional regulator RNF11 integrates degradation and transport of EGFR", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e95a/598da00fb09f21655d0943a429292891215b.pdf"], "doi": []}, {"id": "dc2570ee8338bdb782cad19c265c970a29a2334d", "title": "Data-Driven Techniques in Disaster Information Management", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3017678"]}, {"id": "87b6483fb44b9f7cdb149c5a05a39e14e26eee12", "title": "Identification, Expression Analysis, and Target Prediction of Flax Genotroph MicroRNAs Under Normal and Nutrient Stress Conditions", "addresses": [{"name": "Lomonosov Moscow State University", "source_name": "Lomonosov Moscow State University", "street_adddress": "\u041c\u0413\u0423, \u0443\u043b\u0438\u0446\u0430 \u0410\u043a\u0430\u0434\u0435\u043c\u0438\u043a\u0430 \u0425\u043e\u0445\u043b\u043e\u0432\u0430, \u041c\u043e\u0441\u043a\u043e\u0432\u0441\u043a\u0438\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0438\u043c.\u00a0\u041c.\u00a0\u0412.\u00a0\u041b\u043e\u043c\u043e\u043d\u043e\u0441\u043e\u0432\u0430, \u0440\u0430\u0439\u043e\u043d \u0420\u0430\u043c\u0435\u043d\u043a\u0438, \u0417\u0430\u043f\u0430\u0434\u043d\u044b\u0439 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u043e\u043a\u0440\u0443\u0433, \u041c\u043e\u0441\u043a\u0432\u0430, \u0426\u0424\u041e, 119234, \u0420\u0424", "lat": "55.70229715", "lng": "37.53179777", "type": "edu", "country": "Russia"}, {"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87b6/483fb44b9f7cdb149c5a05a39e14e26eee12.pdf"], "doi": []}, {"id": "9a28965f632e0df7ee1354c2036361285005c965", "title": "Nrf2 is the key to chemotherapy resistance in MCF7 breast cancer cells under hypoxia", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9a28/965f632e0df7ee1354c2036361285005c965.pdf"], "doi": []}, {"id": "1de327b399d91fbfab6184cd831a850cc4131c97", "title": "Completion of the Chloroplast Genomes of Five Chinese Juglans and Their Contribution to Chloroplast Phylogeny", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Vermont", "source_name": "University of Vermont", "street_adddress": "University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA", "lat": "44.48116865", "lng": "-73.20021790", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1de3/27b399d91fbfab6184cd831a850cc4131c97.pdf"], "doi": []}, {"id": "92a321212eb4e0337aed678acae2e5763f85593f", "title": "Comparative Analysis of the Complete Chloroplast Genomes of Five Quercus Species", "addresses": [{"name": "Northwest University", "source_name": "Northwest University", "street_adddress": "5520 108th Ave NE, Kirkland, WA 98033, USA", "lat": "47.65769210", "lng": "-122.19248370", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/92a3/21212eb4e0337aed678acae2e5763f85593f.pdf"], "doi": []}, {"id": "c1f90da3285e979bf5f9e5bcf6f98df6dd2d835c", "title": "Spatial Genetic Structure of the Abundant and Widespread Peatmoss Sphagnum magellanicum Brid.", "addresses": [{"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c1f9/0da3285e979bf5f9e5bcf6f98df6dd2d835c.pdf"], "doi": []}, {"id": "65f55691cc3bad6ca224e2144083c9deb2b2cd1d", "title": "A Look into 30 Years of Malware Development from a Software Metrics Perspective", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://software.imdea.org/~juanca/papers/malsource_raid16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-45719-2_15"]}, {"id": "24df14dc85fc2115ca8968037b0e04814c40d2af", "title": "Semantic-based management of federated infrastructures for future internet experimentation", "addresses": [{"name": "Technische Universit\u00e4t Berlin, Germany", "source_name": "Technische Universit\u00e4t Berlin, Germany", "street_adddress": "Stra\u00dfe des 17. Juni 135, 10623 Berlin, Germany", "lat": "52.51253220", "lng": "13.32694460", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/24df/14dc85fc2115ca8968037b0e04814c40d2af.pdf"], "doi": []}, {"id": "1897e4ffc0773559f3f0f2885ea0438c96f9acbd", "title": "Improving the Quality of Recommendations for Users and Items in the Tail of Distribution", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052769"]}, {"id": "aff92b0fea9496c411512f80364983e293168907", "title": "Deep Learning For Brain Tumor Segmentation", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aff9/2b0fea9496c411512f80364983e293168907.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "504c7e68cade9fa9f22e702736ecc9bf7cec53aa", "title": "Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04397.pdf"], "doi": []}, {"id": "3f9cc53b4ee7e1960de131a43b68c749d1752336", "title": "New Expenditure Data in the Panel Study of Income Dynamics: Comparisons with the Consumer Expenditure Survey Data", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f9c/c53b4ee7e1960de131a43b68c749d1752336.pdf"], "doi": []}, {"id": "1f1f782ff2be5d08a5ba0ef5d5efc856d8de8c7e", "title": "A context-sensitive correlated random walk: a new simulation model for movement", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1f1f/782ff2be5d08a5ba0ef5d5efc856d8de8c7e.pdf"], "doi": []}, {"id": "5ea313a114aa8144217cfddbac62a531d226f899", "title": "Postural effects on cerebral blood flow and autoregulation", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ea3/13a114aa8144217cfddbac62a531d226f899.pdf"], "doi": []}, {"id": "611dc86c37f56d11683b437e28a4c2b7dab4f189", "title": "Future perspectives in melanoma research \u201cMelanoma Bridge\u201d, Napoli, November 30th\u20133rd December 2016", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://translational-medicine.biomedcentral.com/track/pdf/10.1186/s12967-017-1341-2?site=translational-medicine.biomedcentral.com", "https://www.zora.uzh.ch/id/eprint/142690/1/730_Ascierto_PA_._et_al._Future_perspectives_in_melanoma_research_J_Transl_Med._2017.pdf"], "doi": ["https://doi.org/10.1186/s12967-017-1341-2", "https://www.ncbi.nlm.nih.gov/pubmed/29145885"]}, {"id": "2edaa17229438130a487af1fa5c0bdf66df13e4b", "title": "Metamorphic Testing: A Review of Challenges and Opportunities", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "Swinburne University of Technology", "source_name": "Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia", "street_adddress": "Melbourne VIC, Australia", "lat": "-37.81362760", "lng": "144.96305760", "type": "edu", "country": "Australia"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Victoria University", "source_name": "Victoria University, Melbourne, Australia", "street_adddress": "Ballarat Rd, Footscray VIC 3011, Australia", "lat": "-37.79369300", "lng": "144.89873400", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143561"]}, {"id": "4dfdbd1d0def42d31f224f85880f9dc7a3045bbf", "title": "Molybdenum isotope fractionation in the mantle", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://dro.dur.ac.uk/21405/1/21405.pdf?DDD15+nfmn94+d700tmt=", "http://eprints.whiterose.ac.uk/108678/7/1-s2.0-S0016703716306652-main.pdf", "https://research-management.mq.edu.au/ws/portalfiles/portal/85914629/Publisher_version.pdf"], "doi": ["https://doi.org/10.1016/j.gca.2016.11.023"]}, {"id": "a9e9f1137ac42960bcbb5dee799979310b784861", "title": "ALIX and ESCRT-I/II function as parallel ESCRT-III recruiters in cytokinetic abscission", "addresses": [{"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9e9/f1137ac42960bcbb5dee799979310b784861.pdf"], "doi": []}, {"id": "ef0779a53a485ad2097e24572fa006258b92a135", "title": "Research challenges in nextgen service orchestration", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00764.pdf"], "doi": []}, {"id": "b47fba112ce2118605f2de362888dd8752488245", "title": "Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b47f/ba112ce2118605f2de362888dd8752488245.pdf"], "doi": []}, {"id": "0cfa5f47c828429132fda7b7e251824958993249", "title": "Overexpression of Specific CD44 Isoforms Is Associated with Aggressive Cell Features in Acquired Endocrine Resistance", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0cfa/5f47c828429132fda7b7e251824958993249.pdf"], "doi": []}, {"id": "91565229659527cb4c0a635614b5add5980a4b59", "title": "Host Shutoff in Influenza A Virus: Many Means to an End", "addresses": [{"name": "Tufts University", "source_name": "Tufts University, Medford, MA, USA", "street_adddress": "419 Boston Ave, Medford, MA 02155, USA", "lat": "42.40748430", "lng": "-71.11902320", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9156/5229659527cb4c0a635614b5add5980a4b59.pdf"], "doi": []}, {"id": "af1bad7bdb6b45eb0669d77324bcce81f7f914bb", "title": "Benzyl-2-Acetamido-2-Deoxy-\u03b1-d-Galactopyranoside Increases Human Immunodeficiency Virus Replication and Viral Outgrowth Efficacy In Vitro", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af1b/ad7bdb6b45eb0669d77324bcce81f7f914bb.pdf"], "doi": []}, {"id": "4523c9185a0ceb4f90a2c33ff1e259fa29d7679b", "title": "A Comprehensive Genomic Analysis Reveals the Genetic Landscape of Mitochondrial Respiratory Chain Complex Deficiencies", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4523/c9185a0ceb4f90a2c33ff1e259fa29d7679b.pdf"], "doi": []}, {"id": "d4c51aa0ee02855ec8b70663c9d2a0c71b0d6b07", "title": "Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling", "addresses": [{"name": "Leiden University Medical Center", "source_name": "Division of Image Processing, Leiden University Medical Center, Netherlands", "street_adddress": "Albinusdreef 2, 2333 ZA Leiden, Netherlands", "lat": "52.16770960", "lng": "4.47747360", "type": "edu", "country": "Netherlands"}, {"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d4c5/1aa0ee02855ec8b70663c9d2a0c71b0d6b07.pdf"], "doi": []}, {"id": "869edb60f4dc4dc6dba7f6fc3e1384433ba5b06c", "title": "Geography and the Market for CEOs", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/869e/db60f4dc4dc6dba7f6fc3e1384433ba5b06c.pdf"], "doi": []}, {"id": "6f43344bbb5334f8519148614626db77b776115e", "title": "The Exon Junction Complex Undergoes a Compositional Switch that Alters mRNP Structure and Nonsense-Mediated mRNA Decay Activity.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00789.pdf"], "doi": []}, {"id": "29f0da62e38843381bf358f333734ade69f2aecb", "title": "Ribosome reinitiation can explain length-dependent translation of messenger RNA", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5cc1/0b0a0f8ab4b651ccb5059493c42dc8f06836.pdf"], "doi": []}, {"id": "8688da13bc779a6cbc5205e5593ef459da171a5b", "title": "Alternative assembly of respiratory complex II connects energy stress to metabolic checkpoints", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://research-management.mq.edu.au/ws/portalfiles/portal/92244284/Publisher_version_open_access_.pdf"], "doi": ["https://doi.org/10.1038/s41467-018-04603-z", "https://www.ncbi.nlm.nih.gov/pubmed/29880867"]}, {"id": "286c8549f2a2c24571580a8f4a72e5499736d3b7", "title": "The Race Between Preferences and Technology", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/286c/8549f2a2c24571580a8f4a72e5499736d3b7.pdf"], "doi": []}, {"id": "212fb9ad5f6850489b54a32a0fb9a8fdda8c32f3", "title": "Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05844.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/ucf_crowd.json b/site/datasets/final/ucf_crowd.json index 4b3323af..6b51f200 100644 --- a/site/datasets/final/ucf_crowd.json +++ b/site/datasets/final/ucf_crowd.json @@ -1 +1 @@ -{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "dataset": {"key": "ucf_crowd", "name_short": "UCF-CC-50", "name_display": "UCF-CC-50", "name_full": "Crowd Counting Dataset", "purpose": "dedecting humans in dense crowd images", "comment": "94 and 4543 with an average of 1280 individuals per image. Much like the range of counts, the scenes in these images also belong to a diverse set of events: concerts, protests, stadiums, marathons, and pilgrimages", "created_by": "", "funded_by": "U.S. Army Research Laboratory and the U.S. Army Research Office", "funded_by_short": "", "used_by": "", "license": "", "url": "http://crcv.ucf.edu/", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www, flickr", "usernames": "N", "names": "", "flickr_meta": "N", "year_start": "", "year_end": "", "year_published": "2013", "ongoing": "", "images": "50 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "63705", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "fd", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "key": "ucf_crowd", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "pdf": [], "address": "", "name": "UCF-CC-50", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619173"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "title": "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06679.pdf"], "doi": []}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "4b399e0d8153e842739e8b7401353209ce02b79f", "title": "Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06115.pdf"], "doi": []}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "ee89b903af1d8f26a8894a3773915c74f038883e", "title": "Half-CNN: A General Framework for Whole-Image Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6885.pdf"], "doi": []}, {"id": "681a1b6c72af33e91e6b7f82994482b2076c6d59", "title": "Crowd Counting with Fully Convolutional Neural Network", "addresses": [{"name": "Memorial Sloan Kettering Cancer Center, New York City, NY", "source_name": "Memorial sloan kettering cancer center, medical physics, New York City, NY, United States", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451787"]}, {"id": "aa892a303aac532ccec34ba0e741092df97fdb9b", "title": "People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network", "addresses": [{"name": "Donghua University", "source_name": "Donghua University", "street_adddress": "\u4e1c\u534e\u5927\u5b66, \u65b0\u534e\u8def, \u957f\u5b81\u533a, \u4e0a\u6d77\u5e02, 210011, \u4e2d\u56fd", "lat": "31.20619390", "lng": "121.41047101", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8406516"]}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "90aa891d181d918aafdf1a29d8620bc7859294b5", "title": "Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744605", "http://doi.org/10.1109/TIT.2016.2628784"]}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "663981cfc5fc843ec2682b77ae427ac351bc2180", "title": "Detecting Repeating Objects Using Patch Correlation Analysis", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Huberman_Detecting_Repeating_Objects_2016_CVPR_supplemental.pdf", "http://www.cs.huji.ac.il/~raananf/projects/count/paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780686", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.317", "http://doi.org/10.1109/CVPR.2016.317"]}, {"id": "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "title": "Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images", "addresses": [{"name": "University Technology Malaysia", "source_name": "Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "street_adddress": "Universiti Teknologi Malaysia, N28A, Lingkaran Ilmu, 81310 Johor Bahru, Johor, Malaysia", "lat": "1.56485150", "lng": "103.63737050", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5126-7"]}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "title": "Depth Information Guided Crowd Counting for Complex Crowd Scenes.", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02256.pdf"], "doi": []}, {"id": "d2df6e68a686ecc95a1e44505379db005f83ab18", "title": "Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network", "addresses": [{"name": "National Taipei University", "source_name": "National Taipei University", "street_adddress": "\u570b\u7acb\u81fa\u5317\u5927\u5b78, 151, \u5927\u5b78\u8def, \u9f8d\u6069\u91cc, \u9686\u6069\u57d4, \u4e09\u5cfd\u5340, \u65b0\u5317\u5e02, 23741, \u81fa\u7063", "lat": "24.94314825", "lng": "121.36862979", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489238", "http://doi.org/10.1109/IJCNN.2018.8489238"]}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "e27680dea38b7a0272042a82577eb58eb552785c", "title": "Multiscale Multitask Deep NetVLAD for Crowd Counting", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401914", "http://doi.org/10.1109/TII.2018.2852481"]}, {"id": "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "title": "Bus scheduling method based on image texture and color analysis", "addresses": [{"name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "source_name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "street_adddress": "202 Gongye N Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250032", "lat": "36.70847340", "lng": "117.07738690", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393126", "http://doi.org/10.1109/FSKD.2017.8393126"]}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "fd645edffb18e76d89b9efe02bc0b76163de2261", "title": "Statistics on the number of people in the regular scene based on Hough and SVM", "addresses": [{"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924727"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "d57279d90f7f5278ac56974485810865cdb1446d", "title": "Cox Processes for Counting by Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10851-018-0838-5", "https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1004&context=pics_pub"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "54171243dfae9d7343c78026c9b94004df3853bb", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10698.pdf"], "doi": []}, {"id": "1e99c95ea015a0639448fdf60f9694fed5464500", "title": "Interactive Object Counting", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e99/c95ea015a0639448fdf60f9694fed5464500.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "5ece646d13786df1d84ff8eb2bfbc736dd337378", "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03095.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "fa634d2194974f52bff30e2ffab81c3f97c49b57", "title": "Crowd Estimation Using Region-Specific HOG With SVM", "addresses": [{"name": "De La Salle University Manila City", "source_name": "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457384"]}, {"id": "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "title": "TraCount: a deep convolutional neural network for highly overlapping vehicle counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010060"]}, {"id": "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "title": "Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d1a/c241fb603a4237cb681dbcf163a9f89e906a.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07890.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "bf107f242abea2e52d82dcd834e58b774205ec84", "title": "Crowd Counting by Adapting Convolutional Neural Networks with Side Information", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06748.pdf"], "doi": []}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "title": "Count on Me: Learning to Count on a Single Image", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7828028", "http://doi.org/10.1109/TCSVT.2017.2656718"]}, {"id": "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "title": "Learning Short-Cut Connections for Object Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}, {"name": "Alcal\u00e1 de Henares, Spain", "source_name": "Alcal\u00e1 de Henares, Spain", "street_adddress": "Alcala de Henares, Madrid, Spain", "lat": "40.48197910", "lng": "-3.36354210", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02919.pdf"], "doi": []}, {"id": "0db6a58927a671c01089c53248b0e1c36bdc3231", "title": "Efficient Point Process Inference for Large-Scale Object Detection", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Pham_Efficient_Point_Process_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "https://cs.adelaide.edu.au/~trung/lib/exe/fetch.php?media=ls_obj_det.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.310", "http://doi.org/10.1109/CVPR.2016.310"]}, {"id": "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "title": "Real-time crowd behavior detection using SIFT feature extraction technique in video sequences", "addresses": [{"name": "Indian Institute of Information Technology, Allahabad - India 140413", "source_name": "Indian Institute of Information Technology, Allahabad - India 140413", "street_adddress": "Indian Institute of Information Technology, Jhalwa, Prayagraj, Uttar Pradesh, India", "lat": "25.42991140", "lng": "81.77118270", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250602"]}, {"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "ae47e73c25755427c9f5904425a35d7db737829b", "title": "Multi-scale convolutional neural networks for crowd counting", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02359.pdf"], "doi": []}, {"id": "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "title": "Indoor people density sensing using Wi-Fi and channel state information", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/550c/81fbd170177735d89ba751ef4fc07eb0a4bc.pdf"], "doi": []}, {"id": "806d7b97c3535a3c62ce243fe7008149062d14c1", "title": "Learning to Count with CNN Boosting", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/806d/7b97c3535a3c62ce243fe7008149062d14c1.pdf"], "doi": []}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "title": "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01050.pdf"], "doi": []}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "title": "Deep People Counting in Extremely Dense Crowds", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806337"]}, {"id": "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "title": "Depth driven people counting using deep region proposal network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078944"]}, {"id": "a3dab83995f27ec8d09cbc06fe815ade88232d10", "title": "Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4446.pdf"], "doi": []}, {"id": "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "title": "Convolutional neural networks for crowd behaviour analysis: a survey", "addresses": [{"name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "source_name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "street_adddress": "Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India", "lat": "28.65508600", "lng": "77.33309490", "type": "company", "country": "India"}, {"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1499-5"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "03799d5eb1de8141db27856758a2f72436fcc926", "title": "A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field", "addresses": [{"name": "Malaviya National Institute of Technology, Jaipur, India", "source_name": "Malaviya National Institute of Technology, Jaipur, India", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5554-4"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "e9bfde4d9898a886c340e5ce4337c2969207990e", "title": "Multi-source approach for crowd density estimation in still images", "addresses": [{"name": "Malviya National Institute of Technology Jaipur, India", "source_name": "Malviya National Institute of Technology Jaipur, India-302017", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947682", "http://doi.org/10.1109/ISBA.2017.7947682"]}, {"id": "6965de4410921cff014a48b071f2c4c52c1da0fd", "title": "Human object estimation via backscattered radio frequency signal", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "PLA University of Science and Technology", "source_name": "College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://web.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf", "https://www.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7218545", "http://doi.org/10.1109/INFOCOM.2015.7218545"]}, {"id": "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "title": "A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot", "addresses": [{"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://alife-robotics.co.jp/homepage2018/members2017/icarob/data/html/data/OS_pdf/OS16/OS16-1.pdf", "https://download.atlantis-press.com/article/25878348.pdf"], "doi": ["https://doi.org/10.2991/jrnal.2017.4.1.17"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "title": "Mixture of counting CNNs", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0955-6"]}, {"id": "0012d023347d01b791e7753f4f58567a5d480f7f", "title": "Crowd counting via learning perspective for multi-scale multi-view Web images", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-017-6598-3"]}, {"id": "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "title": "Advances in Crowd Analysis for Urban Applications Through Urban Event Detection", "addresses": [{"name": "Anglia Ruskin University", "source_name": "Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.", "street_adddress": "Bishop Hall Ln, Chelmsford CM1 1SQ, UK", "lat": "51.74147370", "lng": "0.47419480", "type": "edu", "country": "United Kingdom"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Chiang Mai University", "source_name": "Chiang Mai University", "street_adddress": "239 Huaykaew Rd, Tambon Su Thep, Amphoe Mueang Chiang Mai, Chang Wat Chiang Mai 50200, Thailand", "lat": "18.80439490", "lng": "98.95481230", "type": "edu", "country": "Thailand"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8194870"]}, {"id": "4543845adcb6135f263cbf6c2813d10464199d52", "title": "Improving Deep Crowd Density Estimation via Pre-classification of Density", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_27"]}, {"id": "133d9795a89a681c9f6db6a0244e8975992d968a", "title": "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967300"]}, {"id": "9c101af0cbee452a8f85ff89be0d4525daf3736b", "title": "A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451399"]}, {"id": "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "title": "Al-Masjid An-Nabawi Crowd Adviser Crowd Level Estimation Using Head Detection", "addresses": [{"name": "Taibah University", "source_name": "Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia", "street_adddress": "Janadah Bin Umayyah Road\u060c Tayba, Medina 42353, Saudi Arabia", "lat": "24.48607820", "lng": "39.54217980", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8442025"]}, {"id": "f9e21549678feea9129112feba7ab5b702abbded", "title": "Skip-connection convolutional neural network for still image crowd counting", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10489-018-1150-1"]}, {"id": "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "title": "Small instance detection by integer programming on object density maps", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet-exabstract.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet.pdf", "http://www.cs.cityu.edu.hk/news/seminars/sem2014-2015_no25.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ma_Small_Instance_Detection_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298992", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298992", "http://doi.org/10.1109/CVPR.2015.7298992"]}, {"id": "f8e55d0bb896d93385b590c13c5702b63b41d489", "title": "Crowd counting estimation in video surveillance based on linear regression function", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7852682", "http://doi.org/10.1109/CISP-BMEI.2016.7852682"]}, {"id": "4bfaf3d14625cf020e65fbbc5be262b83342facc", "title": "Crowd counting oriented to indoor scenes based on FCN with inception modules and residual networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407262"]}, {"id": "47580b23dac6ebace27f4503ceb6200fee45056d", "title": "Crowd counting using complex convolutional neural network", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}, {"name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "source_name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "street_adddress": "Koszykowa 75, 00-662 Warszawa, Poland", "lat": "52.22242500", "lng": "21.00806800", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563383"]}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "96179303817c6e3549f779abf6e033ae7d221199", "title": "Abnormal Behavior Detection in Crowded Scenes Using Density Heatmaps and Optical Flow", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553620"]}, {"id": "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "title": "Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology and City University of Hong Kong", "source_name": "Guangdong University of Technology and City University of Hong Kong", "street_adddress": "83 Tat Chee Ave, Kowloon Tong, Hong Kong", "lat": "22.33761850", "lng": "114.17141320", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015463"]}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "title": "Multi-scale Generative Adversarial Networks for Crowd Counting", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545683"]}, {"id": "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "title": "Incorporating Side Information by Adaptive Convolution", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef7/8987104b7e66c1a71f87b94c4b0ebf34330e.pdf"], "doi": []}, {"id": "95a287356caad3910df98d52a3723e1f98e491f8", "title": "Managing Crowds with Wireless and Mobile Technologies", "addresses": [{"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/95a2/87356caad3910df98d52a3723e1f98e491f8.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "title": "Scale Aggregation Network for Accurate and Efficient Crowd Counting", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bb65/479d3f38b73826596e5da9dbf5ee4199d42c.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}, {"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619173"]}, {"id": "f5cfcefeb52bfed6c8f84b035824ce8a8112837d", "title": "A discriminative tracklets representation for crowd analysis", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351112", "http://doi.org/10.1109/ICIP.2015.7351112"]}, {"id": "b8877c1ad550a3c1b78b9f471497413a9bc52809", "title": "A Framework for Video-Driven Crowd Synthesis", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1803.04969.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "545bb02433dc69d820520249fcce107e0924d8ea", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078482"]}, {"id": "bc97abcfb02bbcdae4c893c2182565c49603e430", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "134c4d75c6a1863e7bc3ccf6992dad23e62d78cf", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks\u2014Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8360001"]}, {"id": "8a62ecdc178bc14f12ce19388e2f4032648ed4db", "title": "Crowd Counting with Decomposed Uncertainty", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07427.pdf"], "doi": []}, {"id": "f9eac8cc9c5acd8a89dd427a127c01f5328e62b1", "title": "Visual Crowd Counting with Improved Inception-ResNet-A Module", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8665037"]}, {"id": "e7ecb3ddd1d4d79231fc5fa5140288e0a7a3592b", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "d882da8d831b7fb6c459f052f9e12c9a3ea9adac", "title": "Almost Unsupervised Learning for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d882/da8d831b7fb6c459f052f9e12c9a3ea9adac.pdf"], "doi": []}]} \ No newline at end of file +{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "dataset": {"key": "ucf_crowd", "name_short": "UCF-CC-50", "name_display": "UCF-CC-50", "name_full": "Crowd Counting Dataset", "purpose": "dedecting humans in dense crowd images", "comment": "94 and 4543 with an average of 1280 individuals per image. Much like the range of counts, the scenes in these images also belong to a diverse set of events: concerts, protests, stadiums, marathons, and pilgrimages", "created_by": "", "funded_by": "U.S. Army Research Laboratory and the U.S. Army Research Office", "funded_by_short": "", "used_by": "", "license": "", "url": "http://crcv.ucf.edu/", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www, flickr", "usernames": "N", "names": "", "flickr_meta": "N", "year_start": "", "year_end": "", "year_published": "2013", "ongoing": "", "images": "50 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "63705", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "fd", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "key": "ucf_crowd", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "pdf": [], "address": "", "name": "UCF-CC-50", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619173"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "title": "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06679.pdf"], "doi": []}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "4b399e0d8153e842739e8b7401353209ce02b79f", "title": "Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06115.pdf"], "doi": []}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "ee89b903af1d8f26a8894a3773915c74f038883e", "title": "Half-CNN: A General Framework for Whole-Image Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6885.pdf"], "doi": []}, {"id": "681a1b6c72af33e91e6b7f82994482b2076c6d59", "title": "Crowd Counting with Fully Convolutional Neural Network", "addresses": [{"name": "Memorial Sloan Kettering Cancer Center, New York City, NY", "source_name": "Memorial sloan kettering cancer center, medical physics, New York City, NY, United States", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451787"]}, {"id": "aa892a303aac532ccec34ba0e741092df97fdb9b", "title": "People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network", "addresses": [{"name": "Donghua University", "source_name": "Donghua University", "street_adddress": "\u4e1c\u534e\u5927\u5b66, \u65b0\u534e\u8def, \u957f\u5b81\u533a, \u4e0a\u6d77\u5e02, 210011, \u4e2d\u56fd", "lat": "31.20619390", "lng": "121.41047101", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8406516"]}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "7174e77f8e26aef3105996512b787b336320d46f", "title": "People Counting in High Density Crowds from Still Images", "addresses": [{"name": "Indian Institute of Technology Kanpur", "source_name": "Indian Institute of Technology Kanpur", "street_adddress": "Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India", "lat": "26.51318800", "lng": "80.23651945", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.08445.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "90aa891d181d918aafdf1a29d8620bc7859294b5", "title": "Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744605", "http://doi.org/10.1109/TIT.2016.2628784"]}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "663981cfc5fc843ec2682b77ae427ac351bc2180", "title": "Detecting Repeating Objects Using Patch Correlation Analysis", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Huberman_Detecting_Repeating_Objects_2016_CVPR_supplemental.pdf", "http://www.cs.huji.ac.il/~raananf/projects/count/paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780686", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.317", "http://doi.org/10.1109/CVPR.2016.317"]}, {"id": "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "title": "Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images", "addresses": [{"name": "University Technology Malaysia", "source_name": "Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "street_adddress": "Universiti Teknologi Malaysia, N28A, Lingkaran Ilmu, 81310 Johor Bahru, Johor, Malaysia", "lat": "1.56485150", "lng": "103.63737050", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5126-7"]}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "title": "Depth Information Guided Crowd Counting for Complex Crowd Scenes.", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02256.pdf"], "doi": []}, {"id": "d2df6e68a686ecc95a1e44505379db005f83ab18", "title": "Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network", "addresses": [{"name": "National Taipei University", "source_name": "National Taipei University", "street_adddress": "\u570b\u7acb\u81fa\u5317\u5927\u5b78, 151, \u5927\u5b78\u8def, \u9f8d\u6069\u91cc, \u9686\u6069\u57d4, \u4e09\u5cfd\u5340, \u65b0\u5317\u5e02, 23741, \u81fa\u7063", "lat": "24.94314825", "lng": "121.36862979", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489238", "http://doi.org/10.1109/IJCNN.2018.8489238"]}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "e27680dea38b7a0272042a82577eb58eb552785c", "title": "Multiscale Multitask Deep NetVLAD for Crowd Counting", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401914", "http://doi.org/10.1109/TII.2018.2852481"]}, {"id": "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "title": "Bus scheduling method based on image texture and color analysis", "addresses": [{"name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "source_name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "street_adddress": "202 Gongye N Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250032", "lat": "36.70847340", "lng": "117.07738690", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393126", "http://doi.org/10.1109/FSKD.2017.8393126"]}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "fd645edffb18e76d89b9efe02bc0b76163de2261", "title": "Statistics on the number of people in the regular scene based on Hough and SVM", "addresses": [{"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924727"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "5882e62866fe1fcf7f8458e0bd0bcb39057afce3", "title": "Attention to Head Locations for Crowd Counting", "addresses": [{"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "Shandong University Jinan", "source_name": "Shandong University Jinan, China, 250100", "street_adddress": "China, Shandong, Jinan, Licheng, Shanda S Rd, 27\u53f7\u5357\u8def27\u53f7 CN \u5c71\u4e1c\u7701 \u6d4e\u5357\u5e02 \u5c71\u5927", "lat": "36.64893000", "lng": "117.02901400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10287.pdf"], "doi": []}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "a507ee57e0e2e2834bab1ff7d218d3afb3634f2a", "title": "Top-Down Feedback for Crowd Counting Convolutional Neural Network", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08881.pdf"], "doi": []}, {"id": "d57279d90f7f5278ac56974485810865cdb1446d", "title": "Cox Processes for Counting by Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10851-018-0838-5", "https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1004&context=pics_pub"]}, {"id": "46f5bb35ea99c62320199b1f0924a4e7c0b001d3", "title": "Perspective-Aware CNN For Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "54171243dfae9d7343c78026c9b94004df3853bb", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10698.pdf"], "doi": []}, {"id": "1e99c95ea015a0639448fdf60f9694fed5464500", "title": "Interactive Object Counting", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e99/c95ea015a0639448fdf60f9694fed5464500.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "5ece646d13786df1d84ff8eb2bfbc736dd337378", "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03095.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "fa634d2194974f52bff30e2ffab81c3f97c49b57", "title": "Crowd Estimation Using Region-Specific HOG With SVM", "addresses": [{"name": "De La Salle University Manila City", "source_name": "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457384"]}, {"id": "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "title": "TraCount: a deep convolutional neural network for highly overlapping vehicle counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010060"]}, {"id": "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "title": "Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d1a/c241fb603a4237cb681dbcf163a9f89e906a.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07890.pdf"], "doi": []}, {"id": "389b217408db3c6d013207ede37590513cad28c1", "title": "Mask-aware networks for crowd counting", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.00039.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "2e6c3557cb90f472e6798fcaa8ecc9dff3557f11", "title": "Towards Perspective-Free Object Counting with Deep Learning", "addresses": [{"name": "University of Alcala", "source_name": "Geintra Research Group, University of Alcala", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/abf0/20e0dcadc047f91ecb394cade13c05112d71.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "bf107f242abea2e52d82dcd834e58b774205ec84", "title": "Crowd Counting by Adapting Convolutional Neural Networks with Side Information", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06748.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "title": "Count on Me: Learning to Count on a Single Image", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7828028", "http://doi.org/10.1109/TCSVT.2017.2656718"]}, {"id": "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "title": "Learning Short-Cut Connections for Object Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}, {"name": "Alcal\u00e1 de Henares, Spain", "source_name": "Alcal\u00e1 de Henares, Spain", "street_adddress": "Alcala de Henares, Madrid, Spain", "lat": "40.48197910", "lng": "-3.36354210", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02919.pdf"], "doi": []}, {"id": "0db6a58927a671c01089c53248b0e1c36bdc3231", "title": "Efficient Point Process Inference for Large-Scale Object Detection", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Pham_Efficient_Point_Process_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "https://cs.adelaide.edu.au/~trung/lib/exe/fetch.php?media=ls_obj_det.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.310", "http://doi.org/10.1109/CVPR.2016.310"]}, {"id": "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "title": "Real-time crowd behavior detection using SIFT feature extraction technique in video sequences", "addresses": [{"name": "Indian Institute of Information Technology, Allahabad - India 140413", "source_name": "Indian Institute of Information Technology, Allahabad - India 140413", "street_adddress": "Indian Institute of Information Technology, Jhalwa, Prayagraj, Uttar Pradesh, India", "lat": "25.42991140", "lng": "81.77118270", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250602"]}, {"id": "aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b", "title": "Counting in High Density Crowd Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aef3/ecc926ed79478f9d1f38c0fec2a29bae9c3b.pdf"], "doi": []}, {"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "ae47e73c25755427c9f5904425a35d7db737829b", "title": "Multi-scale convolutional neural networks for crowd counting", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02359.pdf"], "doi": []}, {"id": "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "title": "Indoor people density sensing using Wi-Fi and channel state information", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/550c/81fbd170177735d89ba751ef4fc07eb0a4bc.pdf"], "doi": []}, {"id": "806d7b97c3535a3c62ce243fe7008149062d14c1", "title": "Learning to Count with CNN Boosting", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/806d/7b97c3535a3c62ce243fe7008149062d14c1.pdf"], "doi": []}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "title": "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01050.pdf"], "doi": []}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "09c9a70a95d1e663e9f718c095f0ef59a877c152", "title": "DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://xplorestaging.ieee.org/ielx7/6287639/6514899/08497050.pdf?arnumber=8497050"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8497050", "http://doi.org/10.1109/ACCESS.2018.2875495"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "title": "Deep People Counting in Extremely Dense Crowds", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806337"]}, {"id": "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "title": "Depth driven people counting using deep region proposal network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078944"]}, {"id": "a3dab83995f27ec8d09cbc06fe815ade88232d10", "title": "Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4446.pdf"], "doi": []}, {"id": "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "title": "Convolutional neural networks for crowd behaviour analysis: a survey", "addresses": [{"name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "source_name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "street_adddress": "Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India", "lat": "28.65508600", "lng": "77.33309490", "type": "company", "country": "India"}, {"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1499-5"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "03799d5eb1de8141db27856758a2f72436fcc926", "title": "A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field", "addresses": [{"name": "Malaviya National Institute of Technology, Jaipur, India", "source_name": "Malaviya National Institute of Technology, Jaipur, India", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5554-4"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "e9bfde4d9898a886c340e5ce4337c2969207990e", "title": "Multi-source approach for crowd density estimation in still images", "addresses": [{"name": "Malviya National Institute of Technology Jaipur, India", "source_name": "Malviya National Institute of Technology Jaipur, India-302017", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947682", "http://doi.org/10.1109/ISBA.2017.7947682"]}, {"id": "6965de4410921cff014a48b071f2c4c52c1da0fd", "title": "Human object estimation via backscattered radio frequency signal", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "PLA University of Science and Technology", "source_name": "College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://web.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf", "https://www.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7218545", "http://doi.org/10.1109/INFOCOM.2015.7218545"]}, {"id": "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "title": "A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot", "addresses": [{"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://alife-robotics.co.jp/homepage2018/members2017/icarob/data/html/data/OS_pdf/OS16/OS16-1.pdf", "https://download.atlantis-press.com/article/25878348.pdf"], "doi": ["https://doi.org/10.2991/jrnal.2017.4.1.17"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "title": "Mixture of counting CNNs", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0955-6"]}, {"id": "0012d023347d01b791e7753f4f58567a5d480f7f", "title": "Crowd counting via learning perspective for multi-scale multi-view Web images", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-017-6598-3"]}, {"id": "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "title": "Advances in Crowd Analysis for Urban Applications Through Urban Event Detection", "addresses": [{"name": "Anglia Ruskin University", "source_name": "Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.", "street_adddress": "Bishop Hall Ln, Chelmsford CM1 1SQ, UK", "lat": "51.74147370", "lng": "0.47419480", "type": "edu", "country": "United Kingdom"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Chiang Mai University", "source_name": "Chiang Mai University", "street_adddress": "239 Huaykaew Rd, Tambon Su Thep, Amphoe Mueang Chiang Mai, Chang Wat Chiang Mai 50200, Thailand", "lat": "18.80439490", "lng": "98.95481230", "type": "edu", "country": "Thailand"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8194870"]}, {"id": "4543845adcb6135f263cbf6c2813d10464199d52", "title": "Improving Deep Crowd Density Estimation via Pre-classification of Density", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_27"]}, {"id": "133d9795a89a681c9f6db6a0244e8975992d968a", "title": "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967300"]}, {"id": "9c101af0cbee452a8f85ff89be0d4525daf3736b", "title": "A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451399"]}, {"id": "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "title": "Al-Masjid An-Nabawi Crowd Adviser Crowd Level Estimation Using Head Detection", "addresses": [{"name": "Taibah University", "source_name": "Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia", "street_adddress": "Janadah Bin Umayyah Road\u060c Tayba, Medina 42353, Saudi Arabia", "lat": "24.48607820", "lng": "39.54217980", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8442025"]}, {"id": "f9e21549678feea9129112feba7ab5b702abbded", "title": "Skip-connection convolutional neural network for still image crowd counting", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10489-018-1150-1"]}, {"id": "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "title": "Small instance detection by integer programming on object density maps", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet-exabstract.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet.pdf", "http://www.cs.cityu.edu.hk/news/seminars/sem2014-2015_no25.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ma_Small_Instance_Detection_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298992", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298992", "http://doi.org/10.1109/CVPR.2015.7298992"]}, {"id": "f8e55d0bb896d93385b590c13c5702b63b41d489", "title": "Crowd counting estimation in video surveillance based on linear regression function", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7852682", "http://doi.org/10.1109/CISP-BMEI.2016.7852682"]}, {"id": "1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9", "title": "Crowd Counting with Density Adaption Networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10040.pdf"], "doi": []}, {"id": "4bfaf3d14625cf020e65fbbc5be262b83342facc", "title": "Crowd counting oriented to indoor scenes based on FCN with inception modules and residual networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407262"]}, {"id": "47580b23dac6ebace27f4503ceb6200fee45056d", "title": "Crowd counting using complex convolutional neural network", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}, {"name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "source_name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "street_adddress": "Koszykowa 75, 00-662 Warszawa, Poland", "lat": "52.22242500", "lng": "21.00806800", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563383"]}, {"id": "5128f77564f70d861debf2941df54fc575283698", "title": "PaDNet: Pan-Density Crowd Counting", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02805.pdf"], "doi": []}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "96179303817c6e3549f779abf6e033ae7d221199", "title": "Abnormal Behavior Detection in Crowded Scenes Using Density Heatmaps and Optical Flow", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553620"]}, {"id": "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "title": "Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology and City University of Hong Kong", "source_name": "Guangdong University of Technology and City University of Hong Kong", "street_adddress": "83 Tat Chee Ave, Kowloon Tong, Hong Kong", "lat": "22.33761850", "lng": "114.17141320", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015463"]}, {"id": "8ff7567197aa9cf146e023326802b2e097121acb", "title": "Context-Aware Crowd Counting", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10452.pdf"], "doi": []}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "title": "Multi-scale Generative Adversarial Networks for Crowd Counting", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545683"]}, {"id": "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "title": "Incorporating Side Information by Adaptive Convolution", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef7/8987104b7e66c1a71f87b94c4b0ebf34330e.pdf"], "doi": []}, {"id": "95a287356caad3910df98d52a3723e1f98e491f8", "title": "Managing Crowds with Wireless and Mobile Technologies", "addresses": [{"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/95a2/87356caad3910df98d52a3723e1f98e491f8.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "title": "Scale Aggregation Network for Accurate and Efficient Crowd Counting", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bb65/479d3f38b73826596e5da9dbf5ee4199d42c.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}, {"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619173"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "f5cfcefeb52bfed6c8f84b035824ce8a8112837d", "title": "A discriminative tracklets representation for crowd analysis", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351112", "http://doi.org/10.1109/ICIP.2015.7351112"]}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "addresses": [{"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "b8877c1ad550a3c1b78b9f471497413a9bc52809", "title": "A Framework for Video-Driven Crowd Synthesis", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1803.04969.pdf"], "doi": []}, {"id": "572ee775bf7801cd64e7b85a49e9977e960e3257", "title": "Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07368.pdf"], "doi": []}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "545bb02433dc69d820520249fcce107e0924d8ea", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078482"]}, {"id": "bc97abcfb02bbcdae4c893c2182565c49603e430", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "134c4d75c6a1863e7bc3ccf6992dad23e62d78cf", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks\u2014Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8360001"]}, {"id": "edafefc60c6e7511f172be8b3660e41b2d6f0f07", "title": "DENet: A Universal Network for Counting Crowd with Varying Densities and Scales", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08056.pdf"], "doi": []}, {"id": "8a62ecdc178bc14f12ce19388e2f4032648ed4db", "title": "Crowd Counting with Decomposed Uncertainty", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "IBM", "source_name": "IBM, Yorktown Heights, NY, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.21055540", "lng": "-73.80342710", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07427.pdf"], "doi": []}, {"id": "891eb18f7cc0702a352d812c78f33eae7ee23f99", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "0bc6ea6afe3b59848a2a8f03423cc6284c60327e", "title": "Learning from Synthetic Data for Crowd Counting in the Wild", "addresses": [{"name": "Northwestern Polytechnical University Xian", "source_name": "Northwestern Polytechnical University Xian, P. R. China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03303.pdf"], "doi": []}, {"id": "f9eac8cc9c5acd8a89dd427a127c01f5328e62b1", "title": "Visual Crowd Counting with Improved Inception-ResNet-A Module", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8665037"]}, {"id": "e7ecb3ddd1d4d79231fc5fa5140288e0a7a3592b", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "d882da8d831b7fb6c459f052f9e12c9a3ea9adac", "title": "Almost Unsupervised Learning for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d882/da8d831b7fb6c459f052f9e12c9a3ea9adac.pdf"], "doi": []}, {"id": "a4927558407dab54353ac166f402e6a26c44e0ca", "title": "Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06285.pdf"], "doi": []}, {"id": "72da189e5a814ac899e7cb4da80370301b0a20e3", "title": "Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.00853.pdf"], "doi": []}, {"id": "429b9c93bb928815f84fb0055831077ee8149c78", "title": "Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.05379.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/voc.json b/site/datasets/final/voc.json index aef5682a..7a9fcb57 100644 --- a/site/datasets/final/voc.json +++ b/site/datasets/final/voc.json @@ -1 +1 @@ -{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "dataset": {"key": "voc", "name_short": "VOC", "name_display": "VOC Dataset", "name_full": "Pascal VOC Dataset", "purpose": "Object classification", "comment": "object classification, but contains faces, images number is ALL images of the set", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://host.robots.ox.ac.uk/pascal/VOC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "", "names": "N", "flickr_meta": "", "year_start": "2005", "year_end": "2012", "year_published": "2012", "ongoing": "", "images": "11,530 ", "videos": "0 ", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "obj", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "key": "voc", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "address": {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "VOC", "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "German Aerospace Center (DLR), Germany", "source_name": "German Aerospace Center (DLR), Germany", "street_adddress": "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "lat": "50.85502400", "lng": "7.11949760", "type": "edu", "country": "Germany"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"id": "0d760e7d762fa449737ad51431f3ff938d6803fe", "title": "LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05922.pdf"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "1329206dbdb0a2b9e23102e1340c17bd2b2adcf5", "title": "Part-Based R-CNNs for Fine-Grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "1ee5f21021a78b942aa6a66e8bcfe95fc227068b", "title": "HCP: A Flexible CNN Framework for Multi-Label Image Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7305792"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "3664c2aab3b64930962f15e9c115e33c684ee10e", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "09da677bdbba113374d8fe4bb15ecfbdb4c8fe40", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "a572d976738579dd2d05c44555f726fc7fb1330e", "title": "Elucidating image-to-set prediction: An analysis of models, losses and datasets", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05709.pdf"], "doi": []}, {"id": "50b0d33f130056ed6e21b1237ac464e9e560e8e6", "title": "Model assisted bootstrapping for annotation of segmentation datasets", "addresses": [{"name": "University of Canterbury", "source_name": "University of Canterbury", "street_adddress": "University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa", "lat": "-43.52405280", "lng": "172.58030625", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402450"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "3a1a70ce6e785d527384f4e138120ce251092caa", "title": "Recurrent Instance Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08250.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "0dbcf98edac6122e5535493989b4947c57009b87", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "ccd45607c51675e6bb115523c56e3d76c0965ff8", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "174930cac7174257515a189cd3ecfdd80ee7dd54", "title": "Multi-view Face Detection Using Deep Convolutional Neural Networks", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02766.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "0534b58649818607a8ad31e6a63e4b1d37be16a5", "title": "Weakly supervised object detection with convex clustering", "addresses": [{"name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "source_name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Bilen_Weakly_Supervised_Object_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~hbilen/assets/pdf/Bilen15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298711", "http://doi.org/10.1109/CVPR.2015.7298711"]}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "12263ef777501b28b26d91f8540026b76d48e90a", "title": "Robust chinese traffic sign detection and recognition with deep convolutional neural network", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "The University of Liverpool", "source_name": "The University of Liverpool, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "Singapore"}, {"name": "Xi'an Jiaotong-Liverpool University", "source_name": "Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7378092"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "2ce073da76e6ed87eda2da08da0e00f4f060f1a6", "title": "Deep Saliency with Encoded Low Level Distance Map and High Level Features", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05495.pdf"], "doi": []}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "3babec90d7234913e792462bd336637ef7ae3651", "title": "Modeling the spatial layout of images beyond spatial pyramids", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://info.ee.surrey.ac.uk/Research/VSSP/Publications/papers/Sanchez-PRL-2012.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Sanchez-PRL-2012.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.07.019"]}, {"id": "1e89444ca418175f77ca1c6b5ec53ac0e534f583", "title": "Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7398101"]}, {"id": "021c3e8c3c64c25126315911f31cab1edca82ab3", "title": "DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02677.pdf"], "doi": []}, {"id": "469a66bfb7a152a61202c033a927c5737133d6b4", "title": "Multi-instance object segmentation with occlusion handling", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298969"]}, {"id": "2581a12189eb1a0b5b27a7fd1c2cbe44c88fcc20", "title": "Analyzing Classifiers: Fisher Vectors and Deep Neural Networks", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00172.pdf"], "doi": []}, {"id": "9a29e4d43e94985c1d152e621764be93c286a78d", "title": "segDeepM: Exploiting segmentation and context in deep neural networks for object detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299102"]}, {"id": "c194596aebe5b1cd6a789584516ac44d4817364c", "title": "A closer look at Faster R-CNN for vehicle detection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535375"]}, {"id": "ec3472acc24fe5ef9eb07a31697f2cd446c8facc", "title": "PixelNet: Representation of the pixels, by the pixels, and for the pixels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06506.pdf"], "doi": []}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "8e0a86634b286567433736a667e3a0bb7902470e", "title": "Dense Semantic Image Segmentation with Objects and Attributes", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://kylezheng.org/densesegattobjdataset/densesegattobj_CVPR2014_poster.pdf", "http://mmcheng.net/mftp/Papers/Denseseg4objattCVPR2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zheng_Dense_Semantic_Image_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2014/denseseg4objatt_CVPR2014_Kyle.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909807", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.411", "http://doi.org/10.1109/CVPR.2014.411"]}, {"id": "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "title": "SSH: Single Stage Headless Face Detector", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03979.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}]} \ No newline at end of file +{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "dataset": {"key": "voc", "name_short": "VOC", "name_display": "VOC Dataset", "name_full": "Pascal VOC Dataset", "purpose": "Object classification", "comment": "object classification, but contains faces, images number is ALL images of the set", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://host.robots.ox.ac.uk/pascal/VOC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "", "names": "N", "flickr_meta": "", "year_start": "2005", "year_end": "2012", "year_published": "2012", "ongoing": "", "images": "11,530 ", "videos": "0 ", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "obj", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "key": "voc", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "address": {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "VOC", "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH, Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "German Aerospace Center (DLR), Germany", "source_name": "German Aerospace Center (DLR), Germany", "street_adddress": "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "lat": "50.85502400", "lng": "7.11949760", "type": "edu", "country": "Germany"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}, {"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"id": "0d760e7d762fa449737ad51431f3ff938d6803fe", "title": "LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05922.pdf"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01105.pdf"], "doi": []}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "1329206dbdb0a2b9e23102e1340c17bd2b2adcf5", "title": "Part-Based R-CNNs for Fine-Grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "2dc9b005e936c9c303386caacc8d41cabdb1a0a1", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "1ee5f21021a78b942aa6a66e8bcfe95fc227068b", "title": "HCP: A Flexible CNN Framework for Multi-Label Image Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7305792"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "3664c2aab3b64930962f15e9c115e33c684ee10e", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "09da677bdbba113374d8fe4bb15ecfbdb4c8fe40", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "a572d976738579dd2d05c44555f726fc7fb1330e", "title": "Elucidating image-to-set prediction: An analysis of models, losses and datasets", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05709.pdf"], "doi": []}, {"id": "50b0d33f130056ed6e21b1237ac464e9e560e8e6", "title": "Model assisted bootstrapping for annotation of segmentation datasets", "addresses": [{"name": "University of Canterbury", "source_name": "University of Canterbury", "street_adddress": "University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa", "lat": "-43.52405280", "lng": "172.58030625", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402450"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05431.pdf"], "doi": []}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object Detection", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.06170.pdf"], "doi": []}, {"id": "3a1a70ce6e785d527384f4e138120ce251092caa", "title": "Recurrent Instance Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08250.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}, {"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "0dbcf98edac6122e5535493989b4947c57009b87", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "ccd45607c51675e6bb115523c56e3d76c0965ff8", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "174930cac7174257515a189cd3ecfdd80ee7dd54", "title": "Multi-view Face Detection Using Deep Convolutional Neural Networks", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02766.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "6641cbc41ad0b4660fa48036e38535a7b6174554", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "0534b58649818607a8ad31e6a63e4b1d37be16a5", "title": "Weakly supervised object detection with convex clustering", "addresses": [{"name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "source_name": "ESAT-PSI / iMinds, KU Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_118_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Bilen_Weakly_Supervised_Object_2015_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~hbilen/assets/pdf/Bilen15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298711", "http://doi.org/10.1109/CVPR.2015.7298711"]}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "12263ef777501b28b26d91f8540026b76d48e90a", "title": "Robust chinese traffic sign detection and recognition with deep convolutional neural network", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "The University of Liverpool", "source_name": "The University of Liverpool, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "Singapore"}, {"name": "Xi'an Jiaotong-Liverpool University", "source_name": "Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7378092"]}, {"id": "361164861d8e4676079219f6d099358a31fc4025", "title": "Multiple Hypothesis Tracking Revisited", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/MHT_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kim_Multiple_Hypothesis_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410890", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.533", "http://doi.org/10.1109/ICCV.2015.533"]}, {"id": "3d1053a1021a48538fd47c9689a81888d63ff37e", "title": "Parameter Learning and Convergent Inference for Dense Random Fields", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f544/b3aeeb2b3690cb90bf568cfe92d864107c9f.pdf"], "doi": []}, {"id": "2ce073da76e6ed87eda2da08da0e00f4f060f1a6", "title": "Deep Saliency with Encoded Low Level Distance Map and High Level Features", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05495.pdf"], "doi": []}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "3babec90d7234913e792462bd336637ef7ae3651", "title": "Modeling the spatial layout of images beyond spatial pyramids", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://info.ee.surrey.ac.uk/Research/VSSP/Publications/papers/Sanchez-PRL-2012.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Sanchez-PRL-2012.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.07.019"]}, {"id": "1e89444ca418175f77ca1c6b5ec53ac0e534f583", "title": "Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7398101"]}, {"id": "021c3e8c3c64c25126315911f31cab1edca82ab3", "title": "DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02677.pdf"], "doi": []}, {"id": "db14833dde228b911c7a1cbf025fdd78736eb520", "title": "Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db14/833dde228b911c7a1cbf025fdd78736eb520.pdf"], "doi": []}, {"id": "469a66bfb7a152a61202c033a927c5737133d6b4", "title": "Multi-instance object segmentation with occlusion handling", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298969"]}, {"id": "2581a12189eb1a0b5b27a7fd1c2cbe44c88fcc20", "title": "Analyzing Classifiers: Fisher Vectors and Deep Neural Networks", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00172.pdf"], "doi": []}, {"id": "9a29e4d43e94985c1d152e621764be93c286a78d", "title": "segDeepM: Exploiting segmentation and context in deep neural networks for object detection", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299102"]}, {"id": "c194596aebe5b1cd6a789584516ac44d4817364c", "title": "A closer look at Faster R-CNN for vehicle detection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535375"]}, {"id": "3964354a123009c071d493a521cfd0edf4396e66", "title": "Instance Segmentation of Indoor Scenes Using a Coverage Loss", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.nyu.edu/~dsontag/papers/SilSonFer_ECCV14.pdf", "http://cs.nyu.edu/~fergus/papers/silbermaneccv2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890616.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10590-1_40"]}, {"id": "ec3472acc24fe5ef9eb07a31697f2cd446c8facc", "title": "PixelNet: Representation of the pixels, by the pixels, and for the pixels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06506.pdf"], "doi": []}, {"id": "a93d6e82cd500663a8eea02a8e3617632aafe913", "title": "Convolutional Neural Network-based Place Recognition", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1509.pdf"], "doi": []}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "7291d63fd9300ee40883201c9d2c4698787d0eaf", "title": "Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.00717.pdf"], "doi": []}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "8e0a86634b286567433736a667e3a0bb7902470e", "title": "Dense Semantic Image Segmentation with Objects and Attributes", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://kylezheng.org/densesegattobjdataset/densesegattobj_CVPR2014_poster.pdf", "http://mmcheng.net/mftp/Papers/Denseseg4objattCVPR2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zheng_Dense_Semantic_Image_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2014/denseseg4objatt_CVPR2014_Kyle.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909807", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.411", "http://doi.org/10.1109/CVPR.2014.411"]}, {"id": "408e8eecc14c5cc60bbdfc486ba7a7fc97031788", "title": "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/408e/8eecc14c5cc60bbdfc486ba7a7fc97031788.pdf"], "doi": []}, {"id": "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "title": "SSH: Single Stage Headless Face Detector", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03979.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "addresses": [{"name": "University of California at Santa Barbara", "source_name": "University of California, Santa Barbara, CA 93106 USA", "street_adddress": "Santa Barbara, CA 93106, USA", "lat": "34.41358680", "lng": "-119.84969760", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "addresses": [{"name": "Yanshan University", "source_name": "Yanshan University, Qinhuangdao, China", "street_adddress": "438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China", "lat": "39.90450800", "lng": "119.53971900", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}]} \ No newline at end of file diff --git a/site/datasets/final/voxceleb2.json b/site/datasets/final/voxceleb2.json index 564401b1..d4f134a3 100644 --- a/site/datasets/final/voxceleb2.json +++ b/site/datasets/final/voxceleb2.json @@ -1 +1 @@ -{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "dataset": {"key": "voxceleb2", "name_short": "VoxCeleb2", "name_display": "VoxCeleb2", "name_full": "VoxCeleb2 Dataset", "purpose": "speaker recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html", "dl_im": "N", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "N", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "youtube", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2018", "ongoing": "", "images": "", "videos": "1,128,246 ", "tracklets": "", "identities": "6,112 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "Y", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "key": "voxceleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8875/ae233bc074f5cd6c4ebba447b536a7e847a5.pdf"], "address": "", "name": "VoxCeleb2", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "827fdecf6a292cefb21837b9d11533a0e40f9e08", "title": "The Conversation: Deep Audio-Visual Speech Enhancement", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04121.pdf"], "doi": []}, {"id": "073e98d1a443e7b5f8b65903f18cd05a2b884400", "title": "Unsupervised Learning of Object Landmarks through Conditional Image Generation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "a5985dfb2f90cd34d83613b4872ac72b298a876e", "title": "VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04826.pdf"], "doi": []}, {"id": "4519b43e0d22934a2a3035d45f7626fe2e77643a", "title": "The VOiCES from a Distance Challenge 2019 Evaluation Plan", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.10828.pdf"], "doi": []}, {"id": "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "title": "Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653291"]}, {"id": "171f8f1090ef0533ff470ed5a4d31ecfefcc74be", "title": "Audio-Visual Scene Analysis with Self-Supervised Multisensory Features", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03641.pdf"], "doi": []}, {"id": "b808cfac9c44f27d3716f9280dad4dc2a9bbc8df", "title": "FOR MULTI-SPEAKER CONVERSATIONS USING X-VECTORS", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b808/cfac9c44f27d3716f9280dad4dc2a9bbc8df.pdf"], "doi": []}, {"id": "2c75e7ee01b362cc5f1ef2e49a84d56af93e6a3d", "title": "Training Speaker Recognition Models with Recording-Level Labels", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639601"]}, {"id": "f2640379adc41360adc1ff03c851b30e509e41b8", "title": "End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02455.pdf"], "doi": []}, {"id": "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "title": "You Said That?: Synthesising Talking Faces from Audio", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["http://www.robots.ox.ac.uk/~vgg/publications/2019/Jamaludin19/jamaludin19.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01150-y"]}, {"id": "fa62bd7c8e29a7f2c2104f7b769b487ab9dad4fb", "title": "Deep Neural Network Embedding Learning with High-Order Statistics for Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}, {"id": "78efccbfd1b1fca267c1b7903d3e4344c9d54ce3", "title": "Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06582.pdf"], "doi": []}, {"id": "5b65716709a2a7a4da2e2aeb611f82e7aacfbbf0", "title": "Large Margin Softmax Loss for Speaker Verification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03479.pdf"], "doi": []}, {"id": "70cfbf82cee2f007b3c65cf97373f66f13005b42", "title": "Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}]} \ No newline at end of file +{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "dataset": {"key": "voxceleb2", "name_short": "VoxCeleb2", "name_display": "VoxCeleb2", "name_full": "VoxCeleb2 Dataset", "purpose": "speaker recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html", "dl_im": "N", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "N", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "youtube", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2018", "ongoing": "", "images": "", "videos": "1,128,246 ", "tracklets": "", "identities": "6,112 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "Y", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "key": "voxceleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8875/ae233bc074f5cd6c4ebba447b536a7e847a5.pdf"], "address": "", "name": "VoxCeleb2", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "9461ae046dbbafbad095bbbc80d0b9e5931f6a72", "title": "Linkage Based Face Clustering via Graph Convolution Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "827fdecf6a292cefb21837b9d11533a0e40f9e08", "title": "The Conversation: Deep Audio-Visual Speech Enhancement", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04121.pdf"], "doi": []}, {"id": "073e98d1a443e7b5f8b65903f18cd05a2b884400", "title": "Unsupervised Learning of Object Landmarks through Conditional Image Generation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "a5985dfb2f90cd34d83613b4872ac72b298a876e", "title": "VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04826.pdf"], "doi": []}, {"id": "4519b43e0d22934a2a3035d45f7626fe2e77643a", "title": "The VOiCES from a Distance Challenge 2019 Evaluation Plan", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.10828.pdf"], "doi": []}, {"id": "54eef13b3fe487cc48a74faf8f486a312f545cc9", "title": "Self-supervised speaker embeddings", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03486.pdf"], "doi": []}, {"id": "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "title": "Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653291"]}, {"id": "171f8f1090ef0533ff470ed5a4d31ecfefcc74be", "title": "Audio-Visual Scene Analysis with Self-Supervised Multisensory Features", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03641.pdf"], "doi": []}, {"id": "acc405806229912e9723c55bf61dc1d34059f5d1", "title": "Few Shot Speaker Recognition using Deep Neural Networks", "addresses": [{"name": "Indian Institute of Technology Delhi, India", "source_name": "Indian Institute of Technology Delhi, India", "street_adddress": "IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India", "lat": "28.54497560", "lng": "77.19262840", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08775.pdf"], "doi": []}, {"id": "a9cbd487b394d94d5f303c91d7f14dae14f70acf", "title": "Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection", "addresses": [{"name": "University of Eastern Finland", "source_name": "University of Eastern Finland, Joensuu, Finland", "street_adddress": "Yliopistokatu 7, 80130 Joensuu, Finland", "lat": "62.60539600", "lng": "29.74053700", "type": "edu", "country": "Finland"}, {"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03790.pdf"], "doi": []}, {"id": "b808cfac9c44f27d3716f9280dad4dc2a9bbc8df", "title": "FOR MULTI-SPEAKER CONVERSATIONS USING X-VECTORS", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b808/cfac9c44f27d3716f9280dad4dc2a9bbc8df.pdf"], "doi": []}, {"id": "35a2ee8bb43ad14b966c294f599475c1edd5213e", "title": "Centroid-based deep metric learning for speaker recognition", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02375.pdf"], "doi": []}, {"id": "2c75e7ee01b362cc5f1ef2e49a84d56af93e6a3d", "title": "Training Speaker Recognition Models with Recording-Level Labels", "addresses": [{"name": "Tallinn University of Technology", "source_name": "Institute of Cybernetics, Tallinn University of Technology", "street_adddress": "Akadeemia tee 21, 12618 Tallinn, Estonia", "lat": "59.39791420", "lng": "24.66085570", "type": "edu", "country": "Estonia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639601"]}, {"id": "f2640379adc41360adc1ff03c851b30e509e41b8", "title": "End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification", "addresses": [{"name": "University of Seoul", "source_name": "University of Seoul, Seoul, Korea", "street_adddress": "163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea", "lat": "37.58386570", "lng": "127.05877710", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02455.pdf"], "doi": []}, {"id": "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "title": "You Said That?: Synthesising Talking Faces from Audio", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["http://www.robots.ox.ac.uk/~vgg/publications/2019/Jamaludin19/jamaludin19.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01150-y"]}, {"id": "fa62bd7c8e29a7f2c2104f7b769b487ab9dad4fb", "title": "Deep Neural Network Embedding Learning with High-Order Statistics for Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}, {"id": "37db8a78a6bb47f6de37f5e42f6df5cd7b1bd304", "title": "Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search", "addresses": [{"name": "University of Eastern Finland", "source_name": "University of Eastern Finland, Joensuu, Finland", "street_adddress": "Yliopistokatu 7, 80130 Joensuu, Finland", "lat": "62.60539600", "lng": "29.74053700", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03293.pdf"], "doi": []}, {"id": "78efccbfd1b1fca267c1b7903d3e4344c9d54ce3", "title": "Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06582.pdf"], "doi": []}, {"id": "65a9d4b8740b7ae48127d7eae9443086613a83a7", "title": "FML: Face Model Learning from Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07603.pdf"], "doi": []}, {"id": "4da8fe0379af893cca721276e13db3622955b3e7", "title": "Fully Supervised Speaker Diarization", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04719.pdf"], "doi": []}, {"id": "5b65716709a2a7a4da2e2aeb611f82e7aacfbbf0", "title": "Large Margin Softmax Loss for Speaker Verification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03479.pdf"], "doi": []}, {"id": "70cfbf82cee2f007b3c65cf97373f66f13005b42", "title": "Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12058.pdf"], "doi": []}, {"id": "6f0ce4d957c4e9556b04b539105837a5db63b925", "title": "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04558.pdf"], "doi": []}, {"id": "b3918fab36f106e83e016a3e33d260ad656191c4", "title": "MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "MIT Lincoln Laboratory, Lexington, MA, USA", "source_name": "MIT Lincoln Laboratory, Lexington, MA, USA", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1904.04240.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/final/who_goes_there.json b/site/datasets/final/who_goes_there.json index 8079a929..e8d99390 100644 --- a/site/datasets/final/who_goes_there.json +++ b/site/datasets/final/who_goes_there.json @@ -1 +1 @@ -{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "dataset": {"key": "who_goes_there", "name_short": "WGT", "name_display": "Who Goes There Dataset", "name_full": "WhoGoesThere", "purpose": "geotagged social media images to learn how human facial appearance varies globally", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://www.cs.uky.edu/~zach/publications/bessinger2016who/index.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "yfcc_100m", "source": "yfcc_100m", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "68", "width": "", "height": "", "color": "Y", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "Y", "": ""}, "paper": {"paper_id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "key": "who_goes_there", "title": "Who goes there?: approaches to mapping facial appearance diversity", "year": "2016", "pdf": [], "address": {"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, "name": "WGT", "doi": ["http://dl.acm.org/citation.cfm?id=2996997"]}, "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "title": "Who goes there?: approaches to mapping facial appearance diversity", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996997"]}, {"id": "dae4ef5f74faa454c2dc1e93f785421e9fee2550", "title": "Goods: Organizing Google's Datasets", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903730"]}, {"id": "e46204e9a241e60e34e769f60d38834390d3c423", "title": "The LFM-1b Dataset for Music Retrieval and Recommendation", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912004"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "60a4ad8e8f4389f317d109550f5da2a571cbb515", "title": "Quasar: Datasets for Question Answering by Search and Reading", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03904.pdf"], "doi": []}, {"id": "cf4e443c4268a3b6face07a30599529e6f47410c", "title": "Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.07079.pdf"], "doi": []}, {"id": "9059fb385a061e97047eb2cf1dee8b052f3fb18a", "title": "Knock Knock, Who's There? Membership Inference on Aggregate Location Data", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06145.pdf"], "doi": []}, {"id": "cc0d17d072c21de5886492c6a23642f15b7f7a25", "title": "RGB-D-based Action Recognition Datasets: A Survey", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05511.pdf"], "doi": []}, {"id": "5572104a2fa5b0abee49c93d34210fc2d610b0ad", "title": "Decibel: The Relational Dataset Branching System", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5572/104a2fa5b0abee49c93d34210fc2d610b0ad.pdf"], "doi": []}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "05f39431776d2b8858132b2118b68a6a68bf4f14", "title": "Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3026044"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "a4ef0d5af701894b602a2634f4393c12ecf3565a", "title": "RARD: The Related-Article Recommendation Dataset", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03428.pdf"], "doi": []}, {"id": "93978ba84c8e95ff82e8b5960eab64e54ca36296", "title": "AMHUSE: a multimodal dataset for HUmour SEnsing", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}, {"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136806"]}, {"id": "881a296cba3d53708541e9b389d483ea67a79a57", "title": "The Engineering Design with Everyday Materials Multi-modal Dataset", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/881a/296cba3d53708541e9b389d483ea67a79a57.pdf"], "doi": []}, {"id": "c382406fd8db2744b2a609837395e5da05e1d2ed", "title": "Going Deeper with Embedded FPGA Platform for Convolutional Neural Network", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2847265"]}, {"id": "1ecba124154f7259791ff0d1051147d74b955da0", "title": "VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06701.pdf"], "doi": []}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "68f3a246fb9a75f63aacd17b899f73896212cb94", "title": "Mining Frequent Learning Pathways from a Large Educational Dataset", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11125.pdf"], "doi": []}, {"id": "90fdd1bb2b374a06e40994b7b4d3c1eb61250d29", "title": "GSET somi: a game-specific eye tracking dataset for somi", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910616"]}, {"id": "481444fbc7e905a5c2b3fa02dd423e2a5c031a9a", "title": "I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840618"]}, {"id": "4973c24a9c1ed79d93b48245a4a71c1e47011ca4", "title": "Delve: A Dataset-Driven Scholarly Search and Analysis System", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3166059"]}, {"id": "dd647726bf29dc417b91d357873d0df68f9353e4", "title": "Zipf\u2019s Law Arises Naturally When There Are Underlying, Unobserved Variables", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dd64/7726bf29dc417b91d357873d0df68f9353e4.pdf"], "doi": []}, {"id": "b0fc67bfeab7a52c600c81616bc3eaf92799d006", "title": "Fake News vs Satire: A Dataset and Analysis", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3201100"]}, {"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "title": "USED: a large-scale social event detection dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910624"]}, {"id": "b462ada2df76bec043e8dce8043a89253682b1a7", "title": "Geometric Deep Learning: Going beyond Euclidean data", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974879"]}, {"id": "58d6540fda55db02feafdef0d6edab091dfda633", "title": "There Goes Your PIN: Exploiting Smartphone Sensor Fusion Under Single and Cross User Setting", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232826"]}, {"id": "0888deefaec3fb19ee2ee1fc4f2fe372104ad32b", "title": "Principal Turnover: Are There Different Types of Principals Who Move From or Leave Their Schools? A Latent Class Analysis of the 2007\u20132008 Schools and Staffing Survey and the 2008\u20132009 Principal Follow-Up Survey", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0888/deefaec3fb19ee2ee1fc4f2fe372104ad32b.pdf"], "doi": []}, {"id": "0d0ee35c1b05868c1bc9494a202dce4b7f414370", "title": "Dermatologist-level classification of skin cancer with deep neural networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://on-demand.gputechconf.com/gtc/2017/presentation/s7822-andre-esteva-dermatologiest-level-classification-of-skin-cancer.pdf", "http://web.stanford.edu/group/blau/pdfs/Esteva_Thrun_2017.pdf", "https://cs.stanford.edu/people/esteva/home/assets/nature_skincancer.pdf"], "doi": ["https://doi.org/10.1038/nature21056", "https://www.ncbi.nlm.nih.gov/pubmed/28117445", "https://www.wikidata.org/entity/Q28528865"]}, {"id": "fc24d32ab6acd5f1d2c478a6d0597c85afb28feb", "title": "Yelp Dataset Challenge: Review Rating Prediction", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05362.pdf"], "doi": []}, {"id": "9d158806959dee00a0c99c913aadc7a1df4717f2", "title": "BCE-Arabic-v1 dataset: Towards interpreting Arabic document images for people with visual impairments", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910725"]}, {"id": "6d7d7b0ad2811b838593fdeafeef79fb4ba10fe7", "title": "General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09902.pdf"], "doi": []}, {"id": "bae8ad8c52d098d25aa8d57e128ecebbe23dc75b", "title": "A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3151510"]}, {"id": "a43343e6b1f3a7b6971fdd5e6133aea9b2efe014", "title": "Your Culture is in Your Password: An Analysis of a Demographically-diverse Password Dataset", "addresses": [{"name": "Hamad Bin Khalifa University", "source_name": "College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar", "street_adddress": "Education City\u060c Ar-Rayyan, Qatar", "lat": "25.31430810", "lng": "51.43227840", "type": "edu", "country": "Qatar"}], "year": "2018", "pdf": ["https://eprint.iacr.org/2018/1063.pdf"], "doi": ["https://doi.org/10.1016/j.cose.2018.03.014", "https://eprint.iacr.org/2018/1063"]}, {"id": "9dafa540bcb30a8c4ffbe2d3a6cae65ecfb0d4bd", "title": "Come-and-Go Patterns of Group Evolution: A Dynamic Model", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2939795"]}, {"id": "eedc76b6754e3cc17373dfac604e82ab385460a9", "title": "MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge", "addresses": [{"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05223.pdf"], "doi": []}, {"id": "592614bf434d0c7c6fc32f72d5991b6f12bd2b9c", "title": "TWOS: A Dataset of Malicious Insider Threat Behavior Based on a Gamified Competition", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3139929"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "1ea74780d529a458123a08250d8fa6ef1da47a25", "title": "Videos from the 2013 Boston Marathon : An Event Reconstruction Dataset for Synchronization and Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a36c/8a4213251d3fd634e8893ad1b932205ad1ca.pdf"], "doi": []}, {"id": "0a03b67644a6411ab7ec73551aa27060b8e4ab1d", "title": "A Comparative Look into Public IXP Datasets", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2875955"]}, {"id": "7c950ae2a5820fec01a73b2a64557569c7bce566", "title": "Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation", "addresses": [{"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fd3f/bc186483588af470886e04c3b9f9203881c1.pdf"], "doi": []}, {"id": "ae2384bb9d9c965a31f3a4107f25c14c3bb3406a", "title": "Preparing a Dataset for Extracting Decision Elements from a Meeting Transcript Corpus", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ae23/84bb9d9c965a31f3a4107f25c14c3bb3406a.pdf"], "doi": []}, {"id": "c60316bbccc8fc05ded0667c1baf9e91c5f85f6d", "title": "Moving Destination Prediction Using Sparse Dataset: A Mobility Gradient Descent Approach", "addresses": [{"name": "Northwestern Polytechnical University, Shaanxi, China", "source_name": "NPU-VUB Joint AVSP Research Lab, Northwestern Polytechnical University (NPU) Shaanxi Key Lab on Speech and Image Information Processing, 127 Youyi Xilu, Xi'an 710072, China", "street_adddress": "Bianjiacun Commerce Block, Beilin, Xi'an, Shaanxi, China, 710072", "lat": "34.24583120", "lng": "108.91611680", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3051128"]}, {"id": "e2bc01813d6ef50194588086e2adea42bdf2323b", "title": "The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03677.pdf"], "doi": []}, {"id": "605e16c4cb3cfbfec1f14196f0e263dceeea6ca3", "title": "Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03253.pdf"], "doi": []}, {"id": "ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835", "title": "The BDD-Nexar Collective : A Large-Scale , Crowsourced , Dataset of Driving Scenes Vashisht Madhavan", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ffb2/d596c22be7b0ed8f809fdfbeaa95bd4db835.pdf"], "doi": []}, {"id": "adab8d8861ff8058ca78d08c89d1268ed6247b45", "title": "UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions", "addresses": [{"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136814"]}, {"id": "c26d67172392c89b90538cad499745a5bf26b21d", "title": "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09635.pdf"], "doi": []}, {"id": "1546d827cbde8d219605d2740236c769e61c8400", "title": "MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3208141"]}, {"id": "d7571c931f1965fcca1f2a616189031a14107418", "title": "You Tweet What You Speak: A City-Level Dataset of Arabic Dialects", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d757/1c931f1965fcca1f2a616189031a14107418.pdf"], "doi": []}, {"id": "98af63afb7bab7e397eb5e60f49834d7b521054e", "title": "CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03166.pdf"], "doi": []}, {"id": "489ad62cd6dfccb494d84d440617370bc6018b7d", "title": "Shared dataset on natural human-computer interaction to support continuous authentication research", "addresses": [{"name": "Clarkson University", "source_name": "Clarkson University, 8 Clarkson Ave, Potsdam, New York", "street_adddress": "8 Clarkson Ave, Potsdam, NY 13699, USA", "lat": "44.66376110", "lng": "-74.99854400", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272738"]}, {"id": "3ec09bf7d74186f1adcaf353f69ce84bb34aa391", "title": "VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Samsung", "source_name": "Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea", "street_adddress": "Seoul, South Korea", "lat": "37.56653500", "lng": "126.97796920", "type": "company", "country": "South Korea"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01500.pdf"], "doi": []}, {"id": "9b71b307a2f99fb404c6f6159b146547a0dc1cbc", "title": "DART: a Dataset of Arguments and their Relations on Twitter", "addresses": [{"name": "INRIA Sophia Antipolis", "source_name": "INRIA Sophia Antipolis Meditérannée, Valbonne, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b71/b307a2f99fb404c6f6159b146547a0dc1cbc.pdf"], "doi": []}, {"id": "b82058b4bf630d33e129ab097b8cacf6cc3d4556", "title": "FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Erlangen-Nuremberg", "source_name": "Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany", "street_adddress": "6. Stock, Cauerstra\u00dfe 7, 91058 Erlangen, Germany", "lat": "49.57282740", "lng": "11.02863460", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09179.pdf"], "doi": []}, {"id": "5c75cebd81c4fa5245d95dbb8d6e93c63051ed0a", "title": "Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c75/cebd81c4fa5245d95dbb8d6e93c63051ed0a.pdf"], "doi": []}, {"id": "c122fa378a774ba202d418cf71c5c356cf2f902f", "title": "GQA: a new dataset for compositional question answering over real-world images", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09506.pdf"], "doi": []}, {"id": "0d9fa043fd72239e788c583447d205b2fbd12a79", "title": "Who gets evicted? Assessing individual, neighborhood, and\u00a0network factors.", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://scholar.harvard.edu/files/mdesmond/files/desmondgershenson.ssr_.2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28126112", "https://doi.org/10.1016/j.ssresearch.2016.08.017"]}, {"id": "0004086a1b043001beee02e0ee20629899a26bf1", "title": "OrpheusDB: A Lightweight Approach to Relational Dataset Versioning", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3058744"]}, {"id": "f24b64e28cfb2e460dd722604a0cc5e0b71f7117", "title": "There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lerv\u00e5g and Hulme (2015).", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt1nh0g5f0/qt1nh0g5f0.pdf?t=ojzfwr"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26518308", "https://doi.org/10.3758/s13423-015-0967-4"]}]} \ No newline at end of file +{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "dataset": {"key": "who_goes_there", "name_short": "WGT", "name_display": "Who Goes There Dataset", "name_full": "WhoGoesThere", "purpose": "geotagged social media images to learn how human facial appearance varies globally", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://www.cs.uky.edu/~zach/publications/bessinger2016who/index.html", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "yfcc_100m", "source": "yfcc_100m", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "68", "width": "", "height": "", "color": "Y", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "Y", "": ""}, "paper": {"paper_id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "key": "who_goes_there", "title": "Who goes there?: approaches to mapping facial appearance diversity", "year": "2016", "pdf": [], "address": {"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, "name": "WGT", "doi": ["http://dl.acm.org/citation.cfm?id=2996997"]}, "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "title": "Who goes there?: approaches to mapping facial appearance diversity", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2996997"]}, {"id": "d33c745e04b36f269d660dea6719b0c47c9478b7", "title": "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.", "addresses": [{"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}, {"name": "Tokyo Metropolitan University", "source_name": "Tokyo Metropolitan University", "street_adddress": "\u9996\u90fd\u5927\u5b66\u6771\u4eac, \u7531\u6728\u7dd1\u9053, \u516b\u738b\u5b50\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 1920364, \u65e5\u672c", "lat": "35.62009250", "lng": "139.38296706", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/351b/406dbfabd14d472c2f4ab17671fb300ded4a.pdf"], "doi": []}, {"id": "dae4ef5f74faa454c2dc1e93f785421e9fee2550", "title": "Goods: Organizing Google's Datasets", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903730"]}, {"id": "efe16df08d9a2575b17bf1a92a1750207101f50b", "title": "RACE: Large-scale ReAding Comprehension Dataset From Examinations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04683.pdf"], "doi": []}, {"id": "e46204e9a241e60e34e769f60d38834390d3c423", "title": "The LFM-1b Dataset for Music Retrieval and Recommendation", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912004"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "60a4ad8e8f4389f317d109550f5da2a571cbb515", "title": "Quasar: Datasets for Question Answering by Search and Reading", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03904.pdf"], "doi": []}, {"id": "cf4e443c4268a3b6face07a30599529e6f47410c", "title": "Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.07079.pdf"], "doi": []}, {"id": "9059fb385a061e97047eb2cf1dee8b052f3fb18a", "title": "Knock Knock, Who's There? Membership Inference on Aggregate Location Data", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06145.pdf"], "doi": []}, {"id": "a9f1838de25c17a38fae9738d137d7c7644b3be1", "title": "Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}, {"name": "University of Pisa", "source_name": "University of Pisa", "street_adddress": "Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia", "lat": "43.72012990", "lng": "10.40789760", "type": "edu", "country": "Italy"}, {"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a9f1/838de25c17a38fae9738d137d7c7644b3be1.pdf"], "doi": []}, {"id": "cc0d17d072c21de5886492c6a23642f15b7f7a25", "title": "RGB-D-based Action Recognition Datasets: A Survey", "addresses": [{"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05511.pdf"], "doi": []}, {"id": "5572104a2fa5b0abee49c93d34210fc2d610b0ad", "title": "Decibel: The Relational Dataset Branching System", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5572/104a2fa5b0abee49c93d34210fc2d610b0ad.pdf"], "doi": []}, {"id": "91e262c4170775d2c4d09c1028ed841484d22729", "title": "STARDATA: A StarCraft AI Research Dataset", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02139.pdf"], "doi": []}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "05f39431776d2b8858132b2118b68a6a68bf4f14", "title": "Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3026044"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "b24cac5a4ce8009f729ee273bbc90365f19ae911", "title": "Who Benefits from the \"Sharing\" Economy of Airbnb?", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02238.pdf"], "doi": []}, {"id": "02cc92287c6614b6a2aa982007471f16b3450013", "title": "Towards a Dataset for Human Computer Communication via Grounded Language Acquisition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02cc/92287c6614b6a2aa982007471f16b3450013.pdf"], "doi": []}, {"id": "40c759b61ebfb2a2eb07d9f72e304fa9bee2c495", "title": "Funding rebellion: The Rebel Contraband Dataset", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/40c7/59b61ebfb2a2eb07d9f72e304fa9bee2c495.pdf"], "doi": []}, {"id": "a4ef0d5af701894b602a2634f4393c12ecf3565a", "title": "RARD: The Related-Article Recommendation Dataset", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03428.pdf"], "doi": []}, {"id": "0e5b055fdd5ba45930a2a3e719af769cd15d9b61", "title": "Satisfying Real-world Goals with Dataset Constraints", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07558.pdf"], "doi": []}, {"id": "93978ba84c8e95ff82e8b5960eab64e54ca36296", "title": "AMHUSE: a multimodal dataset for HUmour SEnsing", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}, {"name": "University of Tours", "source_name": "University of Tours, France", "street_adddress": "60 Rue du Plat d'\u00c9tain, 37000 Tours, France", "lat": "47.38380550", "lng": "0.67387280", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136806"]}, {"id": "76726edaef96a688361fc7627e7fdc64ecb7ec78", "title": "SIMADL: Simulated Activities of Daily Living Dataset", "addresses": [{"name": "Staffordshire University", "source_name": "Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.", "street_adddress": "32 Leek Rd, Stoke-on-Trent ST4 2AR, UK", "lat": "53.00742450", "lng": "-2.17757900", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7672/6edaef96a688361fc7627e7fdc64ecb7ec78.pdf"], "doi": []}, {"id": "4b133ba6de9a7e1c7305c65eae34cde6ed34f8ce", "title": "UTSig: A Persian Offline Signature Dataset", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}, {"name": "Institute for Research in Fundamental Sciences (IPM)", "source_name": "Institute for Research in Fundamental Sciences (IPM)", "street_adddress": "Tehran Province, Tehran, Niavaran Building\u060c Bahonar Sq., Iran", "lat": "35.80997430", "lng": "51.46993270", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.03235.pdf"], "doi": []}, {"id": "881a296cba3d53708541e9b389d483ea67a79a57", "title": "The Engineering Design with Everyday Materials Multi-modal Dataset", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/881a/296cba3d53708541e9b389d483ea67a79a57.pdf"], "doi": []}, {"id": "8b354d76813bd5375e7e5c8d17f630bec5936a01", "title": "ListOps: A Diagnostic Dataset for Latent Tree Learning", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06028.pdf"], "doi": []}, {"id": "3704c08a48102e55c6eb8c42f0a2ed625e4133b2", "title": "DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3704/c08a48102e55c6eb8c42f0a2ed625e4133b2.pdf"], "doi": []}, {"id": "c382406fd8db2744b2a609837395e5da05e1d2ed", "title": "Going Deeper with Embedded FPGA Platform for Convolutional Neural Network", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2847265"]}, {"id": "1ecba124154f7259791ff0d1051147d74b955da0", "title": "VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06701.pdf"], "doi": []}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "68f3a246fb9a75f63aacd17b899f73896212cb94", "title": "Mining Frequent Learning Pathways from a Large Educational Dataset", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11125.pdf"], "doi": []}, {"id": "90fdd1bb2b374a06e40994b7b4d3c1eb61250d29", "title": "GSET somi: a game-specific eye tracking dataset for somi", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910616"]}, {"id": "481444fbc7e905a5c2b3fa02dd423e2a5c031a9a", "title": "I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7840618"]}, {"id": "4973c24a9c1ed79d93b48245a4a71c1e47011ca4", "title": "Delve: A Dataset-Driven Scholarly Search and Analysis System", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3166059"]}, {"id": "dd647726bf29dc417b91d357873d0df68f9353e4", "title": "Zipf\u2019s Law Arises Naturally When There Are Underlying, Unobserved Variables", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dd64/7726bf29dc417b91d357873d0df68f9353e4.pdf"], "doi": []}, {"id": "1f59fa7f65f1f78453d0c8f08d5b84d50475d43c", "title": "Adversarial Learning and Explainability in Structured Datasets", "addresses": [{"name": "University of Wisconsin, Madison", "source_name": "Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA", "street_adddress": "600 Highland Ave, Madison, WI 53792, USA", "lat": "43.07633290", "lng": "-89.43133110", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06583.pdf"], "doi": []}, {"id": "579914dac924d6b4a17889ea7b0dd744a62bbd74", "title": "IBC-C : A Dataset for Armed Conflict Event Analysis", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5799/14dac924d6b4a17889ea7b0dd744a62bbd74.pdf"], "doi": []}, {"id": "b0fc67bfeab7a52c600c81616bc3eaf92799d006", "title": "Fake News vs Satire: A Dataset and Analysis", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3201100"]}, {"id": "3108f96f80d129036f53684344f4058257b37c4b", "title": "DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03957.pdf"], "doi": []}, {"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "title": "USED: a large-scale social event detection dataset", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910624"]}, {"id": "b462ada2df76bec043e8dce8043a89253682b1a7", "title": "Geometric Deep Learning: Going beyond Euclidean data", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974879"]}, {"id": "58d6540fda55db02feafdef0d6edab091dfda633", "title": "There Goes Your PIN: Exploiting Smartphone Sensor Fusion Under Single and Cross User Setting", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3232826"]}, {"id": "0888deefaec3fb19ee2ee1fc4f2fe372104ad32b", "title": "Principal Turnover: Are There Different Types of Principals Who Move From or Leave Their Schools? A Latent Class Analysis of the 2007\u20132008 Schools and Staffing Survey and the 2008\u20132009 Principal Follow-Up Survey", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0888/deefaec3fb19ee2ee1fc4f2fe372104ad32b.pdf"], "doi": []}, {"id": "0d0ee35c1b05868c1bc9494a202dce4b7f414370", "title": "Dermatologist-level classification of skin cancer with deep neural networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://on-demand.gputechconf.com/gtc/2017/presentation/s7822-andre-esteva-dermatologiest-level-classification-of-skin-cancer.pdf", "http://web.stanford.edu/group/blau/pdfs/Esteva_Thrun_2017.pdf", "https://cs.stanford.edu/people/esteva/home/assets/nature_skincancer.pdf"], "doi": ["https://doi.org/10.1038/nature21056", "https://www.ncbi.nlm.nih.gov/pubmed/28117445", "https://www.wikidata.org/entity/Q28528865"]}, {"id": "fc24d32ab6acd5f1d2c478a6d0597c85afb28feb", "title": "Yelp Dataset Challenge: Review Rating Prediction", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05362.pdf"], "doi": []}, {"id": "9d158806959dee00a0c99c913aadc7a1df4717f2", "title": "BCE-Arabic-v1 dataset: Towards interpreting Arabic document images for people with visual impairments", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Cairo University", "source_name": "Faculty of Computers and Information, Cairo University, Egypt", "street_adddress": "5 Ahmed Zewail, Ad Doqi, Giza Governorate 12613, Egypt", "lat": "30.03125060", "lng": "31.21046320", "type": "edu", "country": "Egypt"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910725"]}, {"id": "6d7d7b0ad2811b838593fdeafeef79fb4ba10fe7", "title": "General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09902.pdf"], "doi": []}, {"id": "bae8ad8c52d098d25aa8d57e128ecebbe23dc75b", "title": "A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3151510"]}, {"id": "a43343e6b1f3a7b6971fdd5e6133aea9b2efe014", "title": "Your Culture is in Your Password: An Analysis of a Demographically-diverse Password Dataset", "addresses": [{"name": "Hamad Bin Khalifa University", "source_name": "College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar", "street_adddress": "Education City\u060c Ar-Rayyan, Qatar", "lat": "25.31430810", "lng": "51.43227840", "type": "edu", "country": "Qatar"}], "year": "2018", "pdf": ["https://eprint.iacr.org/2018/1063.pdf"], "doi": ["https://doi.org/10.1016/j.cose.2018.03.014", "https://eprint.iacr.org/2018/1063"]}, {"id": "9dafa540bcb30a8c4ffbe2d3a6cae65ecfb0d4bd", "title": "Come-and-Go Patterns of Group Evolution: A Dynamic Model", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2939795"]}, {"id": "eedc76b6754e3cc17373dfac604e82ab385460a9", "title": "MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge", "addresses": [{"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05223.pdf"], "doi": []}, {"id": "592614bf434d0c7c6fc32f72d5991b6f12bd2b9c", "title": "TWOS: A Dataset of Malicious Insider Threat Behavior Based on a Gamified Competition", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3139929"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "1ea74780d529a458123a08250d8fa6ef1da47a25", "title": "Videos from the 2013 Boston Marathon : An Event Reconstruction Dataset for Synchronization and Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a36c/8a4213251d3fd634e8893ad1b932205ad1ca.pdf"], "doi": []}, {"id": "8f1c9b656157b1d851563fb42129245701d83175", "title": "Transforming Question Answering Datasets Into Natural Language Inference Datasets", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02922.pdf"], "doi": []}, {"id": "3cd586af4396bbda232f279f6c62a17593ce7fd1", "title": "Adverse Drug Event Reporting From Clinical Care: Mixed-Methods Analysis for a Minimum Required Dataset", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3cd5/86af4396bbda232f279f6c62a17593ce7fd1.pdf"], "doi": []}, {"id": "f318fbc554bdbe3678de599e7391a4d222e76128", "title": "TokTrack: A Complete Token Provenance and Change Tracking Dataset for the English Wikipedia", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08244.pdf"], "doi": []}, {"id": "0a03b67644a6411ab7ec73551aa27060b8e4ab1d", "title": "A Comparative Look into Public IXP Datasets", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2875955"]}, {"id": "7c950ae2a5820fec01a73b2a64557569c7bce566", "title": "Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation", "addresses": [{"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fd3f/bc186483588af470886e04c3b9f9203881c1.pdf"], "doi": []}, {"id": "96dd83b848ca3ed5b36a579ef102d3b1788530dc", "title": "Analyzing Assumptions in Conversation Disentanglement Research Through the Lens of a New Dataset and Model", "addresses": [{"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11118.pdf"], "doi": []}, {"id": "ae2384bb9d9c965a31f3a4107f25c14c3bb3406a", "title": "Preparing a Dataset for Extracting Decision Elements from a Meeting Transcript Corpus", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ae23/84bb9d9c965a31f3a4107f25c14c3bb3406a.pdf"], "doi": []}, {"id": "c60316bbccc8fc05ded0667c1baf9e91c5f85f6d", "title": "Moving Destination Prediction Using Sparse Dataset: A Mobility Gradient Descent Approach", "addresses": [{"name": "Northwestern Polytechnical University, Shaanxi, China", "source_name": "NPU-VUB Joint AVSP Research Lab, Northwestern Polytechnical University (NPU) Shaanxi Key Lab on Speech and Image Information Processing, 127 Youyi Xilu, Xi'an 710072, China", "street_adddress": "Bianjiacun Commerce Block, Beilin, Xi'an, Shaanxi, China, 710072", "lat": "34.24583120", "lng": "108.91611680", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3051128"]}, {"id": "e2bc01813d6ef50194588086e2adea42bdf2323b", "title": "The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03677.pdf"], "doi": []}, {"id": "605e16c4cb3cfbfec1f14196f0e263dceeea6ca3", "title": "Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03253.pdf"], "doi": []}, {"id": "ffb2d596c22be7b0ed8f809fdfbeaa95bd4db835", "title": "The BDD-Nexar Collective : A Large-Scale , Crowsourced , Dataset of Driving Scenes Vashisht Madhavan", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ffb2/d596c22be7b0ed8f809fdfbeaa95bd4db835.pdf"], "doi": []}, {"id": "adab8d8861ff8058ca78d08c89d1268ed6247b45", "title": "UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions", "addresses": [{"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3136814"]}, {"id": "c26d67172392c89b90538cad499745a5bf26b21d", "title": "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09635.pdf"], "doi": []}, {"id": "1546d827cbde8d219605d2740236c769e61c8400", "title": "MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval", "addresses": [{"name": "Johannes Kepler University", "source_name": "Johannes Kepler University, Linz, Austria", "street_adddress": "Altenbergerstra\u00dfe 69, 4040 Linz, Austria", "lat": "48.33661400", "lng": "14.31930500", "type": "edu", "country": "Austria"}, {"name": "Politecnico di Milano, Italy", "source_name": "Politecnico di Milano, Italy", "street_adddress": "Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy", "lat": "45.47809060", "lng": "9.22823770", "type": "edu", "country": "Italy"}, {"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3208141"]}, {"id": "f48c867eb3bcbeb1eab6ad91d9bad91af9797634", "title": "In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++", "addresses": [{"name": "Charles University", "source_name": "Charles University, Prague, Czech Rep", "street_adddress": "Opletalova 38, Star\u00e9 M\u011bsto, 110 00 Praha-Praha 1, Czechia", "lat": "50.08711060", "lng": "14.42348890", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04824.pdf"], "doi": []}, {"id": "8b5e900876e4227b1e228b2ae2b211a2b88096d3", "title": "The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics", "addresses": [{"name": "University of the West of England", "source_name": "Machine Vision Laboratory, University of the West of England, Bristol, UK", "street_adddress": "Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK", "lat": "51.50152270", "lng": "-2.54807570", "type": "edu", "country": "United Kingdom"}, {"name": "University of Plymouth", "source_name": "University of Plymouth", "street_adddress": "Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37525010", "lng": "-4.13927692", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8b5e/900876e4227b1e228b2ae2b211a2b88096d3.pdf"], "doi": []}, {"id": "d7571c931f1965fcca1f2a616189031a14107418", "title": "You Tweet What You Speak: A City-Level Dataset of Arabic Dialects", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d757/1c931f1965fcca1f2a616189031a14107418.pdf"], "doi": []}, {"id": "98af63afb7bab7e397eb5e60f49834d7b521054e", "title": "CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03166.pdf"], "doi": []}, {"id": "489ad62cd6dfccb494d84d440617370bc6018b7d", "title": "Shared dataset on natural human-computer interaction to support continuous authentication research", "addresses": [{"name": "Clarkson University", "source_name": "Clarkson University, 8 Clarkson Ave, Potsdam, New York", "street_adddress": "8 Clarkson Ave, Potsdam, NY 13699, USA", "lat": "44.66376110", "lng": "-74.99854400", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272738"]}, {"id": "3ec09bf7d74186f1adcaf353f69ce84bb34aa391", "title": "VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Samsung", "source_name": "Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea", "street_adddress": "Seoul, South Korea", "lat": "37.56653500", "lng": "126.97796920", "type": "company", "country": "South Korea"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01500.pdf"], "doi": []}, {"id": "9b71b307a2f99fb404c6f6159b146547a0dc1cbc", "title": "DART: a Dataset of Arguments and their Relations on Twitter", "addresses": [{"name": "INRIA Sophia Antipolis", "source_name": "INRIA Sophia Antipolis Meditérannée, Valbonne, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9b71/b307a2f99fb404c6f6159b146547a0dc1cbc.pdf"], "doi": []}, {"id": "b82058b4bf630d33e129ab097b8cacf6cc3d4556", "title": "FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "University of Erlangen-Nuremberg", "source_name": "Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany", "street_adddress": "6. Stock, Cauerstra\u00dfe 7, 91058 Erlangen, Germany", "lat": "49.57282740", "lng": "11.02863460", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09179.pdf"], "doi": []}, {"id": "5c75cebd81c4fa5245d95dbb8d6e93c63051ed0a", "title": "Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c75/cebd81c4fa5245d95dbb8d6e93c63051ed0a.pdf"], "doi": []}, {"id": "c122fa378a774ba202d418cf71c5c356cf2f902f", "title": "GQA: a new dataset for compositional question answering over real-world images", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09506.pdf"], "doi": []}, {"id": "060ba38c61dccf3cc557796e115bdd2a6ad3bf0c", "title": "Outsourcing Medical Dataset Analysis: A Possible Solution", "addresses": [{"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://fc17.ifca.ai/preproceedings/paper_97.pdf", "http://www.cs.jhu.edu/~gkaptch1/publications/dataset_analysis.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-70972-7_6"]}, {"id": "0d9fa043fd72239e788c583447d205b2fbd12a79", "title": "Who gets evicted? Assessing individual, neighborhood, and\u00a0network factors.", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://scholar.harvard.edu/files/mdesmond/files/desmondgershenson.ssr_.2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28126112", "https://doi.org/10.1016/j.ssresearch.2016.08.017"]}, {"id": "a6e6c3aa033f131ab723009ba63051f9c70e12d8", "title": "\u201cIf Chemists Don\u2019t Do It, Who Is Going To?\u201d Peer-driven Occupational Change and the Emergence of Green Chemistry:", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oregon", "source_name": "University of Oregon, USA", "street_adddress": "1585 E 13th Ave, Eugene, OR 97403, USA", "lat": "44.04483020", "lng": "-123.07260550", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6e6/c3aa033f131ab723009ba63051f9c70e12d8.pdf"], "doi": []}, {"id": "0004086a1b043001beee02e0ee20629899a26bf1", "title": "OrpheusDB: A Lightweight Approach to Relational Dataset Versioning", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3058744"]}, {"id": "654948d57fe8f257bdb7ab39548f141bae30776a", "title": "Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f942/55c63eba80ee41472f0c73a531c4e1889909.pdf"], "doi": []}, {"id": "f24b64e28cfb2e460dd722604a0cc5e0b71f7117", "title": "There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lerv\u00e5g and Hulme (2015).", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt1nh0g5f0/qt1nh0g5f0.pdf?t=ojzfwr"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26518308", "https://doi.org/10.3758/s13423-015-0967-4"]}]} \ No newline at end of file diff --git a/site/datasets/final/yfcc_100m.json b/site/datasets/final/yfcc_100m.json index a456c11d..9c88529e 100644 --- a/site/datasets/final/yfcc_100m.json +++ b/site/datasets/final/yfcc_100m.json @@ -1 +1 @@ -{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "dataset": {"key": "yfcc_100m", "name_short": "YFCC100M", "name_display": "YFCC100M Dataset", "name_full": "Yahoo Flickr Creative Commons 100 Million Dataset", "purpose": "large scale dataset for multimedia research", "comment": "metadata includes tags, locations, camera, licence", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://yfcc100m.appspot.com/", "dl_im": "P", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "99,171,688 ", "videos": "787,479 ", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "key": "yfcc_100m", "title": "YFCC100M: the new data in multimedia research", "year": "2016", "pdf": [], "address": {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, "name": "YFCC100M", "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "92fb2cb7f9a54360ea4442f902472aded5e88c74", "title": "Blackthorn: Large-Scale Interactive Multimodal Learning", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pure.itu.dk/portal/files/82406569/tmm_2017_blackthorn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048559", "http://doi.org/10.1109/TMM.2017.2755986"]}, {"id": "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "title": "Combining Low-Density Separators with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b139/8234454ee3c9bc5a20f6d2d00232cb79622c.pdf"], "doi": []}, {"id": "36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49", "title": "Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f1f4/5a961cd429d3257d98a9a7f803a2783f11a8.pdf"], "doi": []}, {"id": "1cb5547c3f5ff42746bf9c4e083795aed3c8c609", "title": "Capped Lp-Norm Graph Embedding for Photo Clustering", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967257"]}, {"id": "db63bf0ea02ad561d6b97c6cf000c3954e428787", "title": "Polyphonic Sound Event Detection with Weak Labeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/06fb/e175f8d34c6d8524e1a9357859bce230ae6a.pdf"], "doi": []}, {"id": "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "title": "Learning to Find Good Correspondences", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05971.pdf"], "doi": []}, {"id": "b0f513aa41b5aeb9384f7375fbbf2030be526a93", "title": "GeoPose3K: Mountain landscape dataset for camera pose estimation in outdoor environments", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cphoto.fit.vutbr.cz/geoPose3K/data/geoPose3K_submission.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.009"]}, {"id": "0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7", "title": "On Allocating Cache Resources to Content Providers", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984371"]}, {"id": "5ed63317cdef429f77499d9de0e58402ed1f687e", "title": "From Photo Streams to Evolving Situations", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Mahidol University", "source_name": "Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand", "street_adddress": "Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand", "lat": "13.79727770", "lng": "100.32632160", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05878.pdf"], "doi": []}, {"id": "866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583", "title": "DCAR: A Discriminative and Compact Audio Representation for Audio Processing", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Agricultural University of Hebei", "source_name": "College of Information Science and Technology, Agricultural University of Hebei, Baoding, China", "street_adddress": "Qimin Rd, Nan Shi Qu, Baoding Shi, Hebei Sheng, China, 071000", "lat": "38.85062000", "lng": "115.48315900", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/DCAR_07927482.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927482", "http://doi.org/10.1109/TMM.2017.2703939"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "8b6f94d27ee220d6528b735c39a2707810aa4646", "title": "YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983557"]}, {"id": "6ecb8f65ba1ede4877d75979b1540503e568303c", "title": "OmniArt: A Large-scale Artistic Benchmark", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3273022"]}, {"id": "25291c10213b6bec098e1611d145facfa5d2b398", "title": "Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2529/1c10213b6bec098e1611d145facfa5d2b398.pdf"], "doi": []}, {"id": "e4ca0b623d81a6cfa4ad852e9ef931980e44dccc", "title": "Identifying concavity laws of attractiveness character for composite regions: Application through geo-tagged media check-ins", "addresses": [{"name": "Amity University", "source_name": "Amity University", "street_adddress": "Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India", "lat": "26.85095965", "lng": "81.04950965", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229994"]}, {"id": "c452a759042233ce3658bc734bf48535660f77ca", "title": "CARTS: Constraint-based analytics from real-time system monitoring", "addresses": [{"name": "University of Ontario", "source_name": "Computer and Software Engineering, University of Ontario, Institute of Technology, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/0973.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122940", "http://doi.org/10.1109/SMC.2017.8122940"]}, {"id": "0f6090015ce5b19ff5b7f58ae849668bf04fa3cd", "title": "Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "University of Southampton IT Innovation Centre", "source_name": "University of Southampton IT Innovation Centre, Southampton, UK", "street_adddress": "University Rd, Southampton SO17 1BJ, UK", "lat": "50.93358470", "lng": "-1.39529590", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3202662"]}, {"id": "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "title": "KonIQ-10k: Towards an ecologically valid and large-scale IQA database", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08489.pdf"], "doi": []}, {"id": "49a45e5e296815de821a6bd03b2b5d3c0da2cdb7", "title": "Environment perception in racing simulators using Deep Neural Networks", "addresses": [{"name": "Transilvania University of Brasov", "source_name": "Transilvania University of Brasov, Romania 500024", "street_adddress": "Bulevardul Eroilor 29, Bra\u0219ov 500036, Romania", "lat": "45.64515460", "lng": "25.58911840", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975119"]}, {"id": "2e3c8c8a413a317295bd44d86d089ed70a0b0c29", "title": "Introducing Concept And Syntax Transition Networks for Image Captioning", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2930060"]}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "666300af8ffb8c903223f32f1fcc5c4674e2430b", "title": "Changing Fashion Cultures", "addresses": [{"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07920.pdf"], "doi": []}, {"id": "36631dcbb9452ea3d35b19b2de6ef709022531a6", "title": "TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "d0b936f643f7462068517e0a840e775d6bd4abfb", "title": "Improving Video Generation for Multi-functional Applications", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.11453.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9", "title": "PQk-means: Billion-scale Clustering for Product-quantized Codes", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03708.pdf"], "doi": []}, {"id": "23de28db3c90eadcd98554a68e0425cb6aac9844", "title": "Using Photos as Micro-Reports of Events", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912020"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "aa246dd3999021ec733a56c3d4b7b6772ba007f8", "title": "Beautiful...but at What Cost?: An Examination of Externalities in Geographic Vehicle Routing", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3090080"]}, {"id": "64a0323adf55db3d3de20cc2a8176961548379f4", "title": "Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags", "addresses": [{"name": "SUNY Binghamton, Binghamton, NY, USA", "source_name": "SUNY Binghamton, Binghamton, NY, USA", "street_adddress": "4400 Vestal Pkwy E, Binghamton, NY 13902, USA", "lat": "42.08935530", "lng": "-75.96970490", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206061"]}, {"id": "815dfb96d8ce15ca95c773b8f3dac08b355fa7bb", "title": "State-of-the-art in visual geo-localization", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cadik.posvete.cz/papers/brejcha-cadik17geolocalization_methods_survey.pdf"], "doi": ["http://doi.org/10.1007/s10044-017-0611-1"]}, {"id": "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "title": "Visual congruent ads for image search", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "source_name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "source_name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}, {"name": "Futurewei Technologies Inc., USA", "source_name": "Futurewei Technologies Inc., USA", "street_adddress": "5340 Legacy Dr, Plano, TX 75024, USA", "lat": "33.07233720", "lng": "-96.81029900", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://skamalas.com/docs/ICPR_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899849", "http://doi.org/10.1109/ICPR.2016.7899849"]}, {"id": "4ab023f9bac5c85b829be95c905b6d5dc51820c2", "title": "Discovering physics and design trends from visual temporal structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4ab0/23f9bac5c85b829be95c905b6d5dc51820c2.pdf"], "doi": []}, {"id": "52516cf440eaf57966bfef2a6cc800163bd85793", "title": "Rethinking Summarization and Storytelling for Modern Social Multimedia", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}, {"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "FX Palo Alto Laboratory", "source_name": "FX Palo Alto Laboratory", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5251/6cf440eaf57966bfef2a6cc800163bd85793.pdf"], "doi": []}, {"id": "4a29bc00d1bc944fffe510713e3e8f2206c33fd1", "title": "Self-supervised Segmentation by Grouping Optical-Flow", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4a29/bc00d1bc944fffe510713e3e8f2206c33fd1.pdf"], "doi": []}, {"id": "c82840923eeded245a8dab2dd102d8b0cf96758a", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "bc6830fd4ac9307ddd323c5f92627fd42ac02ff5", "title": "Video Description Generation using Audio and Visual Cues", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912043"]}, {"id": "cfef79c6ba4679e2c0ab902905701d39221b6f1f", "title": "A robust and imperceptible steganography technique for SD and HD videos", "addresses": [{"name": "Panjab University", "source_name": "UIET, Panjab University, Chandigarh, India", "street_adddress": "Chandigarh Rd, Sector 25, Chandigarh, 160036, India", "lat": "30.74876290", "lng": "76.75671910", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6093-3"]}, {"id": "7559688658fbfcfea6829ce48ff6583d1c3439f9", "title": "Capacity-aware Sequential Recommendations", "addresses": [{"name": "Adobe Systems, San Jose, CA, USA", "source_name": "Adobe Systems, San Jose, CA, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, United States", "lat": "37.33065560", "lng": "-121.89430410", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netflix, Los Gatos, CA, USA", "source_name": "Netflix, Los Gatos, CA, USA", "street_adddress": "121 Albright Way, Los Gatos, CA 95032, USA", "lat": "37.25710320", "lng": "-121.96417790", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://ifaamas.org/Proceedings/aamas2018/pdfs/p416.pdf", "https://pure.tudelft.nl/portal/files/44976871/De_Nijs_et_al._2018_Capacity_aware_Sequential_Recommendations.pdf"], "doi": ["http://dl.acm.org/citation.cfm?id=3237448"]}, {"id": "24301df85a669c86ae58962b5645b04a66c63cb1", "title": "A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08023.pdf"], "doi": []}, {"id": "28b725d03845312c619e79932f3edbb47356e252", "title": "Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2971471"]}, {"id": "55077b3293fe5f699d09df0675c2318109b4b90d", "title": "Pooling Objects for Recognizing Scenes without Examples", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912007"]}, {"id": "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "title": "A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification.", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.cs.cmu.edu/~yunwang/papers/interspeech17.pdf", "http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1469.PDF"], "doi": ["http://doi.org/10.21437/Interspeech.2017-1469", "http://www.isca-speech.org/archive/Interspeech_2017/abstracts/1469.html"]}, {"id": "0a100cb8a1accb69905374ef35c13f36c073873e", "title": "Multimodal Analysis of User-Generated Multimedia Content", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-61807-4"]}, {"id": "142b46642dd46566f7be8c6263dfc6bf13a8b0dd", "title": "S2L: Single-Streamline For Complex Video Event Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551529", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551529", "http://doi.org/10.1109/ICMEW.2018.8551529"]}, {"id": "aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912", "title": "ORCHARD: Visual object recognition accelerator based on approximate in-memory processing", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/iccad17_orchard.pdf", "http://nvmw.ucsd.edu/nvmw18-program/unzip/current/nvmw2018-final8.pdf", "http://seelab.ucsd.edu/papers/ykim_2017_orchard.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8203756", "http://dl.acm.org/citation.cfm?id=3199704", "http://doi.org/10.1109/ICCAD.2017.8203756"]}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c", "title": "VizWiz Grand Challenge: Answering Visual Questions from Blind People", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08218.pdf"], "doi": []}, {"id": "0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6", "title": "Contextual Enrichment of Remote-Sensed Events with Social Media Streams", "addresses": [{"name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984063"]}, {"id": "9db77739a1b84c7a07c13a446684c9b63966f39e", "title": "The Lifecycle of Geotagged Multimedia Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2986911"]}, {"id": "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/03/NDSS2018_06B-1_Olteanu_Slides.pdf", "http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/07/ndss2018_06B-1_Olteanu_paper.pdf"], "doi": ["http://doi.org/10.14722/ndss.2018.23002", "https://serval.unil.ch/resource/serval:BIB_0D8D70E207E3.P001/REF"]}, {"id": "a38b4eaa536dd2b709eb725bf2a2192b162cbf06", "title": "Multi-modal Deep Learning Approach for Flood Detection", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a38b/4eaa536dd2b709eb725bf2a2192b162cbf06.pdf"], "doi": []}, {"id": "a1a58f2f195d8da57a84176c1fd53cea34371fed", "title": "Dimensionality Reduction for Image Features using Deep Learning and Autoencoders", "addresses": [{"name": "Klagenfurt University", "source_name": "Klagenfurt University, Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095737"]}, {"id": "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "title": "Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval", "addresses": [{"name": "Delft University of Technology, Netherlands", "source_name": "Delft Univ. of Technol., Netherlands", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e11/24345969a536fd5fa78db05b6149ea262a69.pdf"], "doi": []}, {"id": "76908c01966d1656a13de779955aded5fc1fed32", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456", "http://doi.org/10.1109/TIP.2018.2882155", "https://www.ncbi.nlm.nih.gov/pubmed/30452370"]}, {"id": "d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b", "title": "Beyond Concept Detection: The Potential of User Intent for Image Retrieval", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132521"]}, {"id": "ea7d9a72e5f804567da3e9d937bd7d240c546d06", "title": "Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency", "addresses": [{"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10115-017-1056-y"]}, {"id": "1957bf2457f4dbac1bc226a16a751ad8f00705d5", "title": "Robust bundle adjustment for large-scale structure from motion", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4581-5"]}, {"id": "06b94b47b70c9bfcddbe277a61a9a802acd20096", "title": "Future-Supervised Retrieval of Unseen Queries for Live Video", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123437"]}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "788b16995a689a918b7994977350e7db13ef96a4", "title": "Efficient Conversion of Deep Features to Compact Binary Codes Using Fourier Decomposition for Multimedia Big Data", "addresses": [{"name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "source_name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}, {"name": "Sejong University", "source_name": "Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea", "street_adddress": "209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea", "lat": "37.55025960", "lng": "127.07313900", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276643", "http://doi.org/10.1109/TII.2018.2800163"]}, {"id": "f257e3ac714cd8fcd3b22d7d27ac6fab2db34097", "title": "Multimedia Big Data Analytics: A Survey", "addresses": [{"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3150226"]}, {"id": "830a532ca99fb9d8527dcfbac2d4003b4dd98eb7", "title": "Scheduling Large-scale Distributed Training via Reinforcement Learning", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622264", "http://doi.org/10.1109/BigData.2018.8622264"]}, {"id": "20c016843430bb65c60ea4011a9e8bbb5785c490", "title": "Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset", "addresses": [{"name": "DFKI GmbH, Kaiserslautern, Germany", "source_name": "DFKI GmbH, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983560"]}, {"id": "7a0e9de471b25252afbf8cec566d4962538c5b78", "title": "Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation", "addresses": [{"name": "TU Delft & Radboud University Nijmegen", "source_name": "TU Delft & Radboud University Nijmegen", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Klagenfurt", "source_name": "University of Klagenfurt", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910619"]}, {"id": "b3e50a64709a62628105546e392cf796f95ea0fb", "title": "Clustering via Boundary Erosion", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04312.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "0e2e4b2deee91884d6da21c06e609b1f61270f70", "title": "How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science", "addresses": [{"name": "University of Pisa", "source_name": "University of Pisa", "street_adddress": "Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia", "lat": "43.72012990", "lng": "10.40789760", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0e2e/4b2deee91884d6da21c06e609b1f61270f70.pdf"], "doi": []}, {"id": "61b17f719bab899dd50bcc3be9d55673255fe102", "title": "Detecting Sarcasm in Multimodal Social Platforms", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02289.pdf"], "doi": []}, {"id": "7fd358a0eba775fe9d87f165cb2074fa8fa762e0", "title": "Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09145.pdf"], "doi": []}, {"id": "d3b3c82d73fac683aa23533d26240ec92d14352b", "title": "Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01373.pdf"], "doi": []}, {"id": "48a442646483d9777a2c5864a8e5f6d1a4851396", "title": "Kickstarting the Commons: The YFCC100M and the YLI Corpora", "addresses": [{"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2816986"]}, {"id": "788da403d220e2cc08dca9cffbe1f84b3c68469a", "title": "Causally Regularized Learning with Agnostic Data Selection Bias.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06656.pdf"], "doi": []}, {"id": "9064e178864208cb0e89fecdc8d26b846ccc8e55", "title": "Localizing Moments in Video with Temporal Language", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01337.pdf"], "doi": []}, {"id": "75b32783a098b3173d44f27f7b8329b6d48f369e", "title": "Scaling of foreign attractiveness for countries and states", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08132.pdf"], "doi": []}, {"id": "6f97f9959015cb0e93fba000ae468d22b4c5078a", "title": "A Discriminative and Compact Audio Representation for Event Detection", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970377"]}, {"id": "4ae7fb256d3251019f570776dfe34e8d234c6fdf", "title": "Exploiting social media information toward a context-aware recommendation system", "addresses": [{"name": "Ionian University", "source_name": "Ionian University", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u039b\u03b5\u03c9\u03c6. \u0399\u03c0\u03c0\u03bf\u03ba\u03c1\u03ac\u03c4\u03bf\u03c5\u03c2, \u03ba. \u03a1\u03af\u03bf\u03c5 (\u0391\u03b3\u03af\u03bf\u03c5 \u0393\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u03a1\u03af\u03bf\u03c5), \u03a0\u03ac\u03c4\u03c1\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b1\u03c4\u03c1\u03ad\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0391\u03c7\u03b1\u0390\u03b1\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0394\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2, \u03a0\u03b5\u03bb\u03bf\u03c0\u03cc\u03bd\u03bd\u03b7\u03c3\u03bf\u03c2, \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u0399\u03cc\u03bd\u03b9\u03bf, 26443, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "38.28994820", "lng": "21.78864690", "type": "edu", "country": "Greece"}, {"name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "source_name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "street_adddress": "\u039d\u03b5\u03b1\u03c0\u03cc\u03bb\u03b5\u03c9\u03c2 27 \u03ba\u03b1\u03b9, Patriarchou Grigoriou E, Ag. Paraskevi 153 41, Greece", "lat": "37.99998030", "lng": "23.81974790", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13278-017-0459-9"]}, {"id": "58d96262dff8f28e59e66491ffb7f36f28af07a3", "title": "Quartet-net Learning for Visual Instance Retrieval", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967262"]}, {"id": "01591390da1356b871aefe11d4bb92c1df5ba082", "title": "Online Appendix to : Content-based Image Retrieval", "addresses": [{"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0159/1390da1356b871aefe11d4bb92c1df5ba082.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "9d6993f60539d30ee325138b3465aa020fa3bcb4", "title": "Analysis and Optimization of fastText Linear Text Classifier", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05531.pdf"], "doi": []}, {"id": "1415c27bf7ddf4137d45f446cae6edfc9740919e", "title": "Few-Shot Hash Learning for Image Retrieval", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Wang_Few-Shot_Hash_Learning_ICCV_2017_paper.pdf", "https://ri.cmu.edu/wp-content/uploads/2017/12/45.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265357", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.148", "http://doi.org/10.1109/ICCVW.2017.148"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "dbf360fa9997b2918a8076f1d0df9a1fffa94ed7", "title": "Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dbf3/60fa9997b2918a8076f1d0df9a1fffa94ed7.pdf"], "doi": []}, {"id": "c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42", "title": "Graph-Based Early-Fusion for Flood Detection", "addresses": [{"name": "University of Campinas (Unicamp)", "source_name": "RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}, {"name": "Universit\u00e9 de Lorraine, Vandoeuvre-l\u00e8s-Nancy, France", "source_name": "Universit\u00e9 de Lorraine-LORIA UMR 7503, Vandoeuvre-l\u00e8s-Nancy, France", "street_adddress": "Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vand\u0153uvre-l\u00e8s-Nancy, France", "lat": "48.66579550", "lng": "6.15842070", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451011", "http://doi.org/10.1109/ICIP.2018.8451011"]}, {"id": "8a5be2b370c5a1df06e1063b306b2874706c24dc", "title": "The Konstanz natural video database (KoNViD-1k)", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "Hungarian Academy of Sciences", "source_name": "MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, \nBudapest, Hungary", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "Hungary"}], "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/814067/1/konstanz-natural-video.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/39103/Hosu_2-e7mh9z8d8u09.pdf?isAllowed=y&sequence=1", "https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaJe17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965673", "http://doi.org/10.1109/QoMEX.2017.7965673"]}, {"id": "bd41ce7362259dea758d84c219eeb0dd2f40337c", "title": "Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute, Berkeley", "source_name": "International Computer Science Institute, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980533"]}, {"id": "db989600b1857cea9abd14dba9c10808030c7d33", "title": "Delving Deep into Personal Photo and Video Search", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, New York City, NY, USA", "source_name": "Yahoo Research, New York City, NY, USA", "street_adddress": "New York, NY, USA", "lat": "40.71277530", "lng": "-74.00597280", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3018736"]}, {"id": "7ecbc1b186b4b2f6f6ea786572252984f1deb667", "title": "Mining exoticism from visual content with fusion-based deep neural networks", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-00165-4"]}, {"id": "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "title": "Two-class 3D-CNN classifiers combination for video copy detection", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Shandong Management University", "source_name": "Shandong Management University, Jinan, China", "street_adddress": "Yuansheng Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250100", "lat": "36.67283000", "lng": "117.06216700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6047-9"]}, {"id": "799b9904f37a515a9614f6a92ff673c4c6e97a7f", "title": "Survey on Visual-Based Localization", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/799b/9904f37a515a9614f6a92ff673c4c6e97a7f.pdf"], "doi": []}, {"id": "a50d2245d46ce0595ddbf25ae9acb8513aa70067", "title": "Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acd2/1d21ca466efb16b43ac9d647e99220fd6ddd.pdf"], "doi": []}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "0f885fd46064d271d4404cf9bb3d758e1a6f8d55", "title": "Exploring the Limits of Weakly Supervised Pretraining", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00932.pdf"], "doi": []}, {"id": "1fefb2f8dd1efcdb57d5c2966d81f9ab22c1c58d", "title": "vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1fef/b2f8dd1efcdb57d5c2966d81f9ab22c1c58d.pdf"], "doi": []}, {"id": "a5628b377efcd69043b158388203502e41266852", "title": "Hybrid Indexes for Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126763"]}, {"id": "41e7df687f07102969b3bc0c89c8197942da326d", "title": "Developing and applying a benchmark for evaluating image stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://gigl.scs.carleton.ca/sites/default/files/david_mould/cag.pdf", "http://orca-mwe.cf.ac.uk/102362/1/cag.pdf", "http://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/benchmark-CAG-postprint.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2017.05.025"]}, {"id": "cbd0f4006df1b2661f2c3a711d95727d61756afe", "title": "Multimodal Classification of Moderated Online Pro-Eating Disorder Content", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025985"]}, {"id": "632d9b67c474aab18dc960d8a251b2030ad59bc1", "title": "Binarized Mode Seeking for Scalable Visual Pattern Discovery", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Binarized_Mode_Seeking_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100205", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.722", "http://doi.org/10.1109/CVPR.2017.722"]}, {"id": "8ee02b8d375b21fe37b837e1a9288624f47c38d3", "title": "The Lifecycle of Geotagged Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ee0/2b8d375b21fe37b837e1a9288624f47c38d3.pdf"], "doi": []}, {"id": "a019131087eaca6d33f43d9b38d9bd177f89855c", "title": "User-Generated Content in Social Media", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Tampere", "source_name": "University of Tampere", "street_adddress": "Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33100, Suomi", "lat": "61.49412325", "lng": "23.77920678", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a019/131087eaca6d33f43d9b38d9bd177f89855c.pdf"], "doi": []}, {"id": "fc8fb68a7e3b79c37108588671c0e1abf374f501", "title": "Semantic Pooling for Complex Event Analysis in Untrimmed Videos", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://cs.uwaterloo.ca/~y328yu/mypapers/pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565615", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2608901", "http://doi.org/10.1109/TPAMI.2016.2608901", "https://www.ncbi.nlm.nih.gov/pubmed/28113653"]}, {"id": "b44999bb2e23cf8ca0a413a2d006cc9800794650", "title": "More Than An Answer: Neural Pivot Network for Visual Qestion Answering", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123335"]}, {"id": "28453ccaaa89e46383e6164907d3e2a8f38549c6", "title": "Large Scale Indexing and Searching Deep Convolutional Neural Network Features", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-43946-4_14"]}, {"id": "2ccb12140ffc642010b448e7b6f77b3f57cea497", "title": "Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079665"]}, {"id": "247a14b584d8d83a9191149011de2908a8da605b", "title": "State of the Geotags: Motivations and Recent Changes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/247a/14b584d8d83a9191149011de2908a8da605b.pdf"], "doi": []}, {"id": "c92d6fdcb16eb547b3794a2d60cf04328fdd2344", "title": "Event Detection and Retrieval on Social Media", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03675.pdf"], "doi": []}, {"id": "edfc222d66267709b66440c17e66fb08c69f2ba6", "title": "Global multi-layer network of human mobility", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Salzburg", "source_name": "University of Salzburg", "street_adddress": "Universit\u00e4t Salzburg - Unipark, 1, Erzabt-Klotz-Stra\u00dfe, Nonntal, Salzburg, 5020, \u00d6sterreich", "lat": "47.79475945", "lng": "13.05417525", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.05532.pdf"], "doi": []}, {"id": "df9a08016fa553a169d893ce2d3fca375bab4781", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df9a/08016fa553a169d893ce2d3fca375bab4781.pdf"], "doi": []}, {"id": "890291bc2367e802fca871d67880bdc4a05374cf", "title": "Modeling Characteristics of Location from User Photos", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3039683"]}, {"id": "db545026d0b42c2dcf935a1505a68edb36381194", "title": "Development of an Encrypting System for an Image Viewer based on Hill Cipher Algorithm", "addresses": [{"name": "Covenant University", "source_name": "Covenant University, Ota Ogun State, Nigeria", "street_adddress": "KM 10 Idiroko Rd, Ota, Nigeria", "lat": "6.67264470", "lng": "3.16121300", "type": "edu", "country": "Nigeria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db54/5026d0b42c2dcf935a1505a68edb36381194.pdf"], "doi": []}, {"id": "cb8a1b8d87a3fef15635eb4a32173f9c6f966055", "title": "A Survey on Deep Learning: Algorithms, Techniques, and Applications", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234150"]}, {"id": "06d10f906ac9023b5566c70a2600384b8c1b24c3", "title": "Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00536.pdf"], "doi": []}, {"id": "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "title": "Learning Points and Routes to Recommend Trajectories", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.07051.pdf"], "doi": []}, {"id": "f765c628c5483d7ad974a8605fdd3c7b4010ded2", "title": "Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7776845", "http://doi.org/10.1109/JBHI.2016.2637004", "https://www.ncbi.nlm.nih.gov/pubmed/28114049", "https://www.wikidata.org/entity/Q39004355"]}, {"id": "b83fa4fe617db200defe21a07f81aa8060587217", "title": "Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06052.pdf"], "doi": []}, {"id": "fbdfed192ea0e6508d931b3d00335d99e976c0d7", "title": "From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02899.pdf"], "doi": []}, {"id": "bf7f554ec8f5f44e9c942237effd282a16efecf6", "title": "SALIC: Social Active Learning for Image Classification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://epubs.surrey.ac.uk/812487/1/double.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7466862", "http://doi.org/10.1109/TMM.2016.2565440"]}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "37380f8247e7ddd77f0105914d97eef849b9dc47", "title": "CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622090", "http://doi.org/10.1109/BigData.2018.8622090"]}, {"id": "9fb32f4f332b6acb8eafa418b45650e54796f0a7", "title": "A Data-Centric Approach for Image Scene Localization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://infolab.usc.edu/DocsDemos/IEEE_BigData_ImageSceneLocalization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621912", "http://doi.org/10.1109/BigData.2018.8621912"]}, {"id": "0a55824aa80e5a06af5bf8ba089b19db245471f1", "title": "Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0a55/824aa80e5a06af5bf8ba089b19db245471f1.pdf"], "doi": []}, {"id": "e346aef68ae6df61b83fdeaa71ded9ba0282325e", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06004.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "title": "LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06480.pdf"], "doi": []}, {"id": "2874e3b4bde2203129773f1a7baf78f0710c490e", "title": "Selective Deep Convolutional Features for Image Retrieval", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00809.pdf"], "doi": []}, {"id": "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "title": "A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448670", "http://doi.org/10.1109/IVMSPW.2018.8448670"]}, {"id": "90eb833df9614da495712f4c1fbb65f8e7d9b356", "title": "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c12d/09f36feaa03a533d87eb3ceef5bc76989f05.pdf"], "doi": []}, {"id": "4d1aaf1027231979bb0cad6dc3e31e01925970cc", "title": "The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10569.pdf"], "doi": []}, {"id": "65429789a95b3026457de76d46b5ec94158ce10e", "title": "PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01956.pdf"], "doi": []}, {"id": "8a3d969732951e4d22c608d465b091b9272f03bb", "title": "Multimedia COMMONS - Community-Organized Multimodal Mining: Opportunities for Novel Solutions (MMCommons Workshop 2015)", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806409"]}, {"id": "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "title": "Addressing the Dark Side of Vision Research: Storage", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3f/b3ef83a5d5a905250a1ec986e720ae422ed4.pdf"], "doi": []}, {"id": "f54ce6b62e9889832d891f2aada677171d4219fe", "title": "Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting", "addresses": [{"name": "Motilal Nehru National Institute of Technology, Allahabad, India", "source_name": "Motilal Nehru National Institute of Technology, Allahabad, India", "street_adddress": "Barrister Mullah Colony, MNNIT Allahabad Campus, Teliarganj, Prayagraj, Uttar Pradesh 211004, India", "lat": "25.49201020", "lng": "81.86391630", "type": "edu", "country": "India"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983555"]}, {"id": "10e78afd7ea5f70e192b08be8fe1a978ad89394b", "title": "Video Stream Retrieval of Unseen Queries using Semantic Memory", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06753.pdf"], "doi": []}, {"id": "0bb078880758c023007950f1d7eea99e666e4f06", "title": "Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0bb0/78880758c023007950f1d7eea99e666e4f06.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "20a1350815c4588a2380414bc78a7e215a2e3955", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "title": "The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d3da/e5c4f47a0457ebe2297d7e70432521c82cc6.pdf"], "doi": []}, {"id": "966a09ac570b043aebb7bd92fa116e8f40f50642", "title": "Cross-Modal Style Transfer", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451734", "http://doi.org/10.1109/ICIP.2018.8451734"]}, {"id": "4f90acbfe479bad10b1c733dc7e6a174fd4b2870", "title": "Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08321.pdf"], "doi": []}, {"id": "2bf37dd0ebaac003e67d11cc869e5e93b13dbd00", "title": "Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FXPal, Palo Alto, CA, USA", "source_name": "FXPal, Palo Alto, CA, USA", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806281"]}, {"id": "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "title": "Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/774a/e9c6b2a83c6891b5aeeb169cfd462d45f715.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "30a77605282133e83ee5a35cc5bd9fe46534836c", "title": "Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File", "addresses": [{"name": "ISTI-CNR, Via G.Moruzzi, Italy", "source_name": "ISTI-CNR, Via G.Moruzzi, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095740"]}, {"id": "7f2a7d076bd2fad956dc5103191e392fb11adc49", "title": "Rapid, detail-preserving image downscaling", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980239"]}, {"id": "35d181da0b939bdf3bdf579969e5fe69e277e03e", "title": "Learning Features by Watching Objects Move", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06370.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "d50e47c59655d0274d60386c6627e2571242a121", "title": "Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559710"]}, {"id": "983f695c0ae44632182184f81579872f0353c6bc", "title": "V3C - A Research Video Collection", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.04401.pdf"], "doi": []}, {"id": "612da08d1dd16ac0a3b61151c6cf40b1e95b50c3", "title": "Hybrid Indexes to Expedite Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05200.pdf"], "doi": []}, {"id": "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "title": "Active Learning from Noisy Tagged Images", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/3c8c9adef3b6a36c31c2682f2179e3013ae1.pdf"], "doi": []}, {"id": "968ab65077c4be1c1071120052b2e4b4f3d3c59a", "title": "\"Seeing is believing: the quest for multimodal knowledge\" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903517"]}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "1f2b4b2670fb2ed83db817c95d52ca0e042d5315", "title": "Stepping stone graph for public movement analysis", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274913"]}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "57582fd607c8aad7245b497a6a68bc3a1901ef08", "title": "Neural Personalized Ranking for Image Recommendation", "addresses": [{"name": "Texas A&M Univerisity, College Station, TX, USA", "source_name": "Texas A&M Univerisity, College Station, TX, USA", "street_adddress": "400 Bizzell St, College Station, TX 77843, USA", "lat": "30.61853100", "lng": "-96.33649900", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159728"]}, {"id": "5ad42766d7ba40ceccd8047f6810b9cf6ac79748", "title": "Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3204941"]}, {"id": "e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49", "title": "Interactive Multimodal Learning on 100 Million Images", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912062"]}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "de09cb5eeff5e7a752567c009f7621dfa6ebb2da", "title": "Generating Affective Captions using Concept And Syntax Transition Networks", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984070"]}, {"id": "da30d5e0cf214c1d86f629081493fa55e5a27efc", "title": "Expertise screening in crowdsourcing image quality", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoLiSa18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463427", "http://doi.org/10.1109/QoMEX.2018.8463427"]}, {"id": "7d0ff6d0621b3846e8543bc162fd0215d8adfaf0", "title": "Efficient Large-Scale Similarity Search Using Matrix Factorization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780597", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.228", "http://doi.org/10.1109/CVPR.2016.228", "https://hal.inria.fr/hal-01238242/document"]}, {"id": "dcc414adda5432011bfc53359075dd341b924910", "title": "LF-Net: Learning Local Features from Images", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}, {"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09662.pdf"], "doi": []}, {"id": "d89b7eb82a663187f63e7d69dca11f204c74fcb1", "title": "Nonlinear Structural Hashing for Scalable Video Search", "addresses": [{"name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology", "source_name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "gov", "country": "China"}], "year": "2018", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Nonlinear%20structural%20hashing%20for%20scalable%20video%20search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855682", "http://doi.org/10.1109/TCSVT.2017.2669095"]}, {"id": "0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11", "title": "Windsurf: the best way to SURF", "addresses": [{"name": "Universit\u00e0 di Bologna", "source_name": "C.d.L. Scienze dell'Informazione - Universit\u00e0 di Bologna, via Sacchi 3, 47023 Cesena, ITALY", "street_adddress": "Via Scipione Sacchi, 3, 47521 Cesena FC, Italy", "lat": "44.13977980", "lng": "12.24318990", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0567-4"]}, {"id": "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "title": "Structured Recommendation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09067.pdf"], "doi": []}, {"id": "34f5acebcb39d844d3bef5cf4a840fb505bda5e1", "title": "In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100M", "addresses": [{"name": "CERTH, Thermi-Thessaloniki, Greece", "source_name": "CERTH, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983558"]}, {"id": "353a058f49a8c60b41e9cd28962f6060cf4f6646", "title": "The research of multimedia cloud computing platform data dynamic task scheduling optimization method in multi core environment", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "College of Humanities & Information of Changchun University of Technology", "source_name": "College of Humanities & Information of Changchun University of Technology, Changchun, China", "street_adddress": "1016 Fuzhi Rd, Nanguan Qu, Changchun Shi, Jilin Sheng, China, 130122", "lat": "43.78308800", "lng": "125.42858700", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3667-9"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "6b6cd29c63d3ada53c7a7664248c6db8387da88a", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275", "http://doi.org/10.1109/CBMI.2018.8516275"]}, {"id": "aef293fa9617a8924389b95f313540c1329cb2b1", "title": "LocXplore: a system for profiling urban regions", "addresses": [{"name": "Freie Universit\u00e4t Berlin, Germany", "source_name": "Freie Universit\u00e4t Berlin, Germany", "street_adddress": "Kaiserswerther Str. 16-18, 14195 Berlin, Germany", "lat": "52.45252640", "lng": "13.28967870", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274924"]}, {"id": "2e57eef707fa9c89d2a7ac68f55c26dea850c5ea", "title": "Mixture of Convolutional Neural Networks for Image Classification", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e57/eef707fa9c89d2a7ac68f55c26dea850c5ea.pdf"], "doi": []}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "004aa2cb4b68850ee006af8a6807b3c1a6a198f0", "title": "Deep Classifiers from Image Tags in the Wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814821"]}, {"id": "256f09fe3163564958381d7f3727b5c27c19144c", "title": "Image2Emoji: Zero-shot Emoji Prediction for Visual Media", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806335"]}, {"id": "26861e41e5b44774a2801e1cd76fd56126bbe257", "title": "Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2686/1e41e5b44774a2801e1cd76fd56126bbe257.pdf"], "doi": []}, {"id": "2577211aeaaa1f2245ddc379564813bee3d46c06", "title": "Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.06974.pdf"], "doi": []}, {"id": "47de7339f70075f6ac1a77d3dba23dbe3e435b73", "title": "EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809932"]}, {"id": "fd0a462934359b52051ae95b970c9e01f4f32539", "title": "Fast and Accurate Content-based Semantic Search in 100M Internet Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806237"]}, {"id": "684f87f29176db22743b327edd070ce366a8cf76", "title": "Unsupervised Latent Aspect Discovery for Diverse Event Summarization", "addresses": [{"name": "National Taiwan Unversity, Taipei, Taiwan Roc", "source_name": "National Taiwan Unversity, Taipei, Taiwan Roc", "street_adddress": "No. 1, Section 4, Roosevelt Rd, Da\u2019an District, Taipei City, Taiwan 10617", "lat": "25.01734050", "lng": "121.53975180", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809935"]}, {"id": "c10c5d3fd3575570ec55ddbe838fb2a52cf97bc9", "title": "TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "f0b0dc397cf31df4fda45c0187190c42de5adf40", "title": "Exploiting Spatial Relationship between Scenes for Hierarchical Video Geotagging", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749354"]}, {"id": "14e55a8090d27b3a8c807be68463bf87a8203ab1", "title": "The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2661125"]}, {"id": "3c4c15a6597223887e0a5384237fd2a89b176e4a", "title": "Optimized Product Quantization", "addresses": [{"name": "Microsoft Bing, Sunnyvale", "source_name": "Microsoft Bing, Sunnyvale", "street_adddress": "755 N Mathilda Ave, Sunnyvale, CA 94085, USA", "lat": "37.39412440", "lng": "-122.03018430", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://kaiminghe.com/publications/pami13opq.pdf", "http://research.microsoft.com/en-us/um/people/jiansun/papers/tr13_opq.pdf", "http://research.microsoft.com/pubs/193148/opq_tr.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/11/pami13opq.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/opq_tr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678503", "http://doi.org/10.1109/TPAMI.2013.240", "https://www.ncbi.nlm.nih.gov/pubmed/26353197", "https://www.wikidata.org/entity/Q50855436"]}, {"id": "7113bf11db5fd3b14c9e6d3388a58a5930f0cac1", "title": "A benchmark image set for evaluating stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7113/bf11db5fd3b14c9e6d3388a58a5930f0cac1.pdf"], "doi": []}, {"id": "723b87aca073b7b82970a4580f64ba8c6c64691b", "title": "Improving Personalized Trip Recommendation by Avoiding Crowds", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983749"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "9bbc952adb3e3c6091d45d800e806d3373a52bac", "title": "Learning Visual Classifiers using Human-centric Annotations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bbc/952adb3e3c6091d45d800e806d3373a52bac.pdf"], "doi": []}, {"id": "ea0d399d32f6d3fd4bcf95bc964a9fd62629ff78", "title": "Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079003"]}, {"id": "3ad6bd5c34b0866019b54f5976d644326069cb3d", "title": "Towards next generation touring: personalized group tours", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://people.eng.unimelb.edu.au/limk2/2016-ICAPS-groupTourRec.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/12803"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "53b8766a86782535ba9d6b4c18f7cefce86f745c", "title": "Insights into Audio-Based Multimedia Event Classification with Neural Networks", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814816"]}, {"id": "a902ae7016408a63c3a2539d012e07070c29f9d6", "title": "Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578729"]}, {"id": "295e9b2ddb3c9c7d029a99d5b877bf3824949f1b", "title": "Reconstructing the world* in six days", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://frahm.web.unc.edu/files/2014/08/cvpr2015-heinly.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-abstract.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-poster.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_115_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298949", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298949", "http://doi.org/10.1109/CVPR.2015.7298949"]}, {"id": "7f6eb3011704c580e53c9d6e020a3fc63069a5d7", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "cebd79bc878d550f107fddfae0e283e293938495", "title": "The Geography and Importance of Localness in Geotagged Social Media", "addresses": [{"name": "Hasselt University", "source_name": "Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium", "street_adddress": "E, Willem de Croylaan 56, 3001 Leuven, Belgium", "lat": "50.85700400", "lng": "4.67632950", "type": "edu", "country": "Belgium"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858122"]}, {"id": "49455079e54d7d06fd2d5617507947a31d4f9198", "title": "LBANN: livermore big artificial neural network HPC toolkit", "addresses": [{"name": "Lawrence Livermore National Laboratory, Livermore, CA", "source_name": "Lawrence Livermore National Laboratory, Livermore, CA", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2834897"]}, {"id": "2e64ba3370cc5be4c14b16b4372ed2f8dae67390", "title": "SentiCap: Generating Image Descriptions with Sentiments", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.01431.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "6e6a049944d74e5c44ffde79c0bfbb1385eee807", "title": "Incremental Learning for Fine-Grained Image Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912069"]}, {"id": "c8b4beb3dd4d6594fcad58de0394c731d112780f", "title": "Leveraging Multimodal Semantics and Sentiments Information in Event Understanding and Summarization", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8b4/beb3dd4d6594fcad58de0394c731d112780f.pdf"], "doi": []}, {"id": "cccc169185d5a88a9fcdc4ab1477a8500cc9861b", "title": "Leveraging Expert Feature Knowledge for Predicting Image Aesthetics", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}, {"name": "Kodak Alaris, Inc., Rochester, NY, USA", "source_name": "Kodak Alaris, Inc., Rochester, NY, USA", "street_adddress": "336 Initiative Dr, Rochester, NY 14624, USA", "lat": "43.14949140", "lng": "-77.73558320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374927", "http://doi.org/10.1109/TIP.2018.2845100", "https://www.ncbi.nlm.nih.gov/pubmed/29994210"]}, {"id": "749bdd328e8c98cc6e82add044663e09ff2f1a17", "title": "Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123336"]}, {"id": "1bec14f3722ac91c83d6c0cdde4aeaa66ca8f42d", "title": "Fully Dynamic k-Center Clustering", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/436d/68e5f40a04ddf6a279d64cef3b824466990a.pdf"], "doi": []}, {"id": "eb28671c43e6f3bfeee3b5bec8023887d8c07bc7", "title": "Towards Personalized Image Captioning via Multimodal Memory Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8334621"]}, {"id": "0de3a52c019c114dbd97663fdf4e72a2dec07808", "title": "Network of Experts for Large-Scale Image Categorization", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06119.pdf"], "doi": []}, {"id": "b6397f818f67faad6a36de8480212f6e7e82e71c", "title": "Tag Prediction at Flickr: A View from the Darkroom", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126745"]}, {"id": "88cc230c6755dc88e110032a5ef96b6251c03917", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fbd7/d591e6eecb9a947e377d5b1a865a9f86a11f.pdf"], "doi": []}, {"id": "17c4a18911efb909deb228cb3fbfb6610c82f751", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275"]}, {"id": "b4b9ec699c873cfbb16647966b230b522bc0113e", "title": "DTRP: A Flexible Deep Framework for Travel Route Planning", "addresses": [{"name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "source_name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "street_adddress": "Guo Jia Ji Suan Ji Wang Luo Ying Ji Ji Shu Chu Li Xie Tiao Zhong Xin, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.97436960", "lng": "116.38734270", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68783-4_25"]}, {"id": "80d109b71001d5184b34d48835a9bc00afdfa9ca", "title": "An efficient multi-feature SVM solver for complex event detection", "addresses": [{"name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5166-z"]}, {"id": "cfeda236987b04250a218b688e32b6b35c617ba4", "title": "Multi-scale Hierarchical Residual Network for Dense Captioning", "addresses": [{"name": "Zhejiang Gongshang University", "source_name": "Zhejiang Gongshang University, Hangzhou, China", "street_adddress": "18 Xuezheng St, Jianggan Qu, Hangzhou Shi, Zhejiang Sheng, China, 310018", "lat": "30.30875200", "lng": "120.38852900", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/cfed/a236987b04250a218b688e32b6b35c617ba4.pdf"], "doi": []}, {"id": "996dc200dd686c39e235aec78f7c6acd903a970f", "title": "Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections", "addresses": [{"name": "CEA LIST, Gif-sur-Yvette, France", "source_name": "CEA LIST, Gif-sur-Yvette, France", "street_adddress": "B\u00e2timent 565, 91191 Gif-sur-Yvette, France", "lat": "48.72751930", "lng": "2.15684880", "type": "edu", "country": "France"}, {"name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "source_name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814819"]}, {"id": "2ede3ba3149bdb180387669acd7cc47aea2bfaba", "title": "Computer Vision Based and FPRank Based Tag Recommendation for Social Popularity Enhancement", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180311"]}, {"id": "33737f966cca541d5dbfb72906da2794c692b65b", "title": "Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w28/papers/Mensink_Spotting_Audio-Visual_Inconsistencies_CVPR_2017_paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/bolles17cvprwmf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014972", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.238", "http://doi.org/10.1109/CVPRW.2017.238"]}, {"id": "11d527d2f77df6200d8760d9d2163320e621bde1", "title": "Fashion Culture Database: Construction of Database for World-wide Fashion Analysis", "addresses": [{"name": "National Institute of Advanced Industrial Science and Technology", "source_name": "National Institute of Advanced Industrial Science and Technology", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581148"]}, {"id": "6816cd8f4fcfda892d8f993cc0ae4d9e10db4178", "title": "A Tag Recommendation System for Popularity Boosting", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127913"]}, {"id": "4daf898d78ed64c990b99ebf04f84380d7fedb84", "title": "Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079035"]}, {"id": "982ede05154c1afdcf6fc623ba45186a34f4b9f2", "title": "The Many Shades of Negativity", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7835107", "http://doi.org/10.1109/TMM.2017.2659221"]}, {"id": "062d67af7677db086ef35186dc936b4511f155d7", "title": "They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~epxing/papers/2016/Chang_Yu_Yang_Xing_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "https://opus.lib.uts.edu.au/bitstream/10453/58433/4/cvpr16a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780577", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.208", "http://doi.org/10.1109/CVPR.2016.208"]}, {"id": "d3008b4122e50a28f6cc1fa98ac6af28b42271ea", "title": "Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806218"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "85304f24f5a1800e66de20ad05e20c8c032b7d03", "title": "Understanding and Discovering Deliberate Self-harm Content in Social Media", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8530/4f24f5a1800e66de20ad05e20c8c032b7d03.pdf"], "doi": []}, {"id": "7f05df12dff3defee495507abd4870a0a30c3590", "title": "Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f05/df12dff3defee495507abd4870a0a30c3590.pdf"], "doi": []}, {"id": "2110dd412aa5a0ace530cd9aef1464e8682a71c1", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456"]}, {"id": "e9b97cff4bf7ca4029cbe6b3919f796c6668e1a1", "title": "VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974787", "http://doi.org/10.1109/TMM.2017.2722687"]}, {"id": "d6bd16cdefd96cdb22a88e290ea1db629b65fdf7", "title": "ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8508249"]}, {"id": "1e91f4615bcdce4604044395a1431bb1c9b78484", "title": "Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03476.pdf"], "doi": []}, {"id": "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "title": "CERTH/CEA LIST at MediaEval Placing Task 2015", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ea98/5e35b36f05156f82ac2025ad3fe8037be0cd.pdf"], "doi": []}, {"id": "e3137bb7d73b4f846ad00800b46cc4118d2e0a34", "title": "Multimodal Graph-based Event Detection and Summarization in Social Media Streams", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809933"]}, {"id": "29025c172b441818d3da51e977af11b82c59df91", "title": "Learning Sound Event Classifiers from Web Audio with Noisy Labels", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01189.pdf"], "doi": []}, {"id": "a4db1ee9ec8127a5c21a4c79261a1f298f651421", "title": "Instructional Videos for Unsupervised Harvesting and Learning of Action Examples", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654997"]}, {"id": "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "title": "Learning Geo-Temporal Image Features.", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "Washington University", "source_name": "Washington University", "street_adddress": "Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA", "lat": "38.64804450", "lng": "-90.30996670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0586.pdf", "http://cs.uky.edu/~ted/assets/pdfs/whenwhere.pdf"], "doi": []}]} \ No newline at end of file +{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "dataset": {"key": "yfcc_100m", "name_short": "YFCC100M", "name_display": "YFCC100M Dataset", "name_full": "Yahoo Flickr Creative Commons 100 Million Dataset", "purpose": "large scale dataset for multimedia research", "comment": "metadata includes tags, locations, camera, licence", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://yfcc100m.appspot.com/", "dl_im": "P", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "source": "flickr", "usernames": "Y", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "99,171,688 ", "videos": "787,479 ", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "key": "yfcc_100m", "title": "YFCC100M: the new data in multimedia research", "year": "2016", "pdf": [], "address": {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, "name": "YFCC100M", "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "92fb2cb7f9a54360ea4442f902472aded5e88c74", "title": "Blackthorn: Large-Scale Interactive Multimodal Learning", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pure.itu.dk/portal/files/82406569/tmm_2017_blackthorn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048559", "http://doi.org/10.1109/TMM.2017.2755986"]}, {"id": "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "title": "Combining Low-Density Separators with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b139/8234454ee3c9bc5a20f6d2d00232cb79622c.pdf"], "doi": []}, {"id": "36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49", "title": "Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f1f4/5a961cd429d3257d98a9a7f803a2783f11a8.pdf"], "doi": []}, {"id": "1cb5547c3f5ff42746bf9c4e083795aed3c8c609", "title": "Capped Lp-Norm Graph Embedding for Photo Clustering", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967257"]}, {"id": "db63bf0ea02ad561d6b97c6cf000c3954e428787", "title": "Polyphonic Sound Event Detection with Weak Labeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/06fb/e175f8d34c6d8524e1a9357859bce230ae6a.pdf"], "doi": []}, {"id": "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "title": "Learning to Find Good Correspondences", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05971.pdf"], "doi": []}, {"id": "b0f513aa41b5aeb9384f7375fbbf2030be526a93", "title": "GeoPose3K: Mountain landscape dataset for camera pose estimation in outdoor environments", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cphoto.fit.vutbr.cz/geoPose3K/data/geoPose3K_submission.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.009"]}, {"id": "0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7", "title": "On Allocating Cache Resources to Content Providers", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984371"]}, {"id": "5ed63317cdef429f77499d9de0e58402ed1f687e", "title": "From Photo Streams to Evolving Situations", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Mahidol University", "source_name": "Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand", "street_adddress": "Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand", "lat": "13.79727770", "lng": "100.32632160", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05878.pdf"], "doi": []}, {"id": "866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583", "title": "DCAR: A Discriminative and Compact Audio Representation for Audio Processing", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "Agricultural University of Hebei", "source_name": "College of Information Science and Technology, Agricultural University of Hebei, Baoding, China", "street_adddress": "Qimin Rd, Nan Shi Qu, Baoding Shi, Hebei Sheng, China, 071000", "lat": "38.85062000", "lng": "115.48315900", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/DCAR_07927482.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7927482", "http://doi.org/10.1109/TMM.2017.2703939"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "8b6f94d27ee220d6528b735c39a2707810aa4646", "title": "YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983557"]}, {"id": "6ecb8f65ba1ede4877d75979b1540503e568303c", "title": "OmniArt: A Large-scale Artistic Benchmark", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3273022"]}, {"id": "25291c10213b6bec098e1611d145facfa5d2b398", "title": "Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2529/1c10213b6bec098e1611d145facfa5d2b398.pdf"], "doi": []}, {"id": "e4ca0b623d81a6cfa4ad852e9ef931980e44dccc", "title": "Identifying concavity laws of attractiveness character for composite regions: Application through geo-tagged media check-ins", "addresses": [{"name": "Amity University", "source_name": "Amity University", "street_adddress": "Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India", "lat": "26.85095965", "lng": "81.04950965", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8229994"]}, {"id": "c452a759042233ce3658bc734bf48535660f77ca", "title": "CARTS: Constraint-based analytics from real-time system monitoring", "addresses": [{"name": "University of Ontario", "source_name": "Computer and Software Engineering, University of Ontario, Institute of Technology, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/0973.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122940", "http://doi.org/10.1109/SMC.2017.8122940"]}, {"id": "0f6090015ce5b19ff5b7f58ae849668bf04fa3cd", "title": "Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "University of Southampton IT Innovation Centre", "source_name": "University of Southampton IT Innovation Centre, Southampton, UK", "street_adddress": "University Rd, Southampton SO17 1BJ, UK", "lat": "50.93358470", "lng": "-1.39529590", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3202662"]}, {"id": "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "title": "KonIQ-10k: Towards an ecologically valid and large-scale IQA database", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08489.pdf"], "doi": []}, {"id": "49a45e5e296815de821a6bd03b2b5d3c0da2cdb7", "title": "Environment perception in racing simulators using Deep Neural Networks", "addresses": [{"name": "Transilvania University of Brasov", "source_name": "Transilvania University of Brasov, Romania 500024", "street_adddress": "Bulevardul Eroilor 29, Bra\u0219ov 500036, Romania", "lat": "45.64515460", "lng": "25.58911840", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975119"]}, {"id": "2e3c8c8a413a317295bd44d86d089ed70a0b0c29", "title": "Introducing Concept And Syntax Transition Networks for Image Captioning", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2930060"]}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "666300af8ffb8c903223f32f1fcc5c4674e2430b", "title": "Changing Fashion Cultures", "addresses": [{"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07920.pdf"], "doi": []}, {"id": "36631dcbb9452ea3d35b19b2de6ef709022531a6", "title": "TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}, {"id": "d0b936f643f7462068517e0a840e775d6bd4abfb", "title": "Improving Video Generation for Multi-functional Applications", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.11453.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9", "title": "PQk-means: Billion-scale Clustering for Product-quantized Codes", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03708.pdf"], "doi": []}, {"id": "23de28db3c90eadcd98554a68e0425cb6aac9844", "title": "Using Photos as Micro-Reports of Events", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912020"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "aa246dd3999021ec733a56c3d4b7b6772ba007f8", "title": "Beautiful...but at What Cost?: An Examination of Externalities in Geographic Vehicle Routing", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "University of Bremen", "source_name": "University of Bremen", "street_adddress": "Bibliothekstra\u00dfe 1, 28359 Bremen, Germany", "lat": "53.10675800", "lng": "8.85204000", "type": "edu", "country": "Germany"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3090080"]}, {"id": "64a0323adf55db3d3de20cc2a8176961548379f4", "title": "Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags", "addresses": [{"name": "SUNY Binghamton, Binghamton, NY, USA", "source_name": "SUNY Binghamton, Binghamton, NY, USA", "street_adddress": "4400 Vestal Pkwy E, Binghamton, NY 13902, USA", "lat": "42.08935530", "lng": "-75.96970490", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206061"]}, {"id": "815dfb96d8ce15ca95c773b8f3dac08b355fa7bb", "title": "State-of-the-art in visual geo-localization", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["http://cadik.posvete.cz/papers/brejcha-cadik17geolocalization_methods_survey.pdf"], "doi": ["http://doi.org/10.1007/s10044-017-0611-1"]}, {"id": "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "title": "Visual congruent ads for image search", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "source_name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "source_name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}, {"name": "Futurewei Technologies Inc., USA", "source_name": "Futurewei Technologies Inc., USA", "street_adddress": "5340 Legacy Dr, Plano, TX 75024, USA", "lat": "33.07233720", "lng": "-96.81029900", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://skamalas.com/docs/ICPR_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899849", "http://doi.org/10.1109/ICPR.2016.7899849"]}, {"id": "4ab023f9bac5c85b829be95c905b6d5dc51820c2", "title": "Discovering physics and design trends from visual temporal structures", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4ab0/23f9bac5c85b829be95c905b6d5dc51820c2.pdf"], "doi": []}, {"id": "52516cf440eaf57966bfef2a6cc800163bd85793", "title": "Rethinking Summarization and Storytelling for Modern Social Multimedia", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}, {"name": "University of Helsinki", "source_name": "HIIT, University of Helsinki", "street_adddress": "Yliopistonkatu 4, 00100 Helsinki, Finland", "lat": "60.17263480", "lng": "24.95104190", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "FX Palo Alto Laboratory", "source_name": "FX Palo Alto Laboratory", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5251/6cf440eaf57966bfef2a6cc800163bd85793.pdf"], "doi": []}, {"id": "4a29bc00d1bc944fffe510713e3e8f2206c33fd1", "title": "Self-supervised Segmentation by Grouping Optical-Flow", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4a29/bc00d1bc944fffe510713e3e8f2206c33fd1.pdf"], "doi": []}, {"id": "c82840923eeded245a8dab2dd102d8b0cf96758a", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "bc6830fd4ac9307ddd323c5f92627fd42ac02ff5", "title": "Video Description Generation using Audio and Visual Cues", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912043"]}, {"id": "cfef79c6ba4679e2c0ab902905701d39221b6f1f", "title": "A robust and imperceptible steganography technique for SD and HD videos", "addresses": [{"name": "Panjab University", "source_name": "UIET, Panjab University, Chandigarh, India", "street_adddress": "Chandigarh Rd, Sector 25, Chandigarh, 160036, India", "lat": "30.74876290", "lng": "76.75671910", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6093-3"]}, {"id": "7559688658fbfcfea6829ce48ff6583d1c3439f9", "title": "Capacity-aware Sequential Recommendations", "addresses": [{"name": "Adobe Systems, San Jose, CA, USA", "source_name": "Adobe Systems, San Jose, CA, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, United States", "lat": "37.33065560", "lng": "-121.89430410", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "Netflix, Los Gatos, CA, USA", "source_name": "Netflix, Los Gatos, CA, USA", "street_adddress": "121 Albright Way, Los Gatos, CA 95032, USA", "lat": "37.25710320", "lng": "-121.96417790", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://ifaamas.org/Proceedings/aamas2018/pdfs/p416.pdf", "https://pure.tudelft.nl/portal/files/44976871/De_Nijs_et_al._2018_Capacity_aware_Sequential_Recommendations.pdf"], "doi": ["http://dl.acm.org/citation.cfm?id=3237448"]}, {"id": "24301df85a669c86ae58962b5645b04a66c63cb1", "title": "A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08023.pdf"], "doi": []}, {"id": "28b725d03845312c619e79932f3edbb47356e252", "title": "Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2971471"]}, {"id": "55077b3293fe5f699d09df0675c2318109b4b90d", "title": "Pooling Objects for Recognizing Scenes without Examples", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912007"]}, {"id": "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "title": "A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification.", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.cs.cmu.edu/~yunwang/papers/interspeech17.pdf", "http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1469.PDF"], "doi": ["http://doi.org/10.21437/Interspeech.2017-1469", "http://www.isca-speech.org/archive/Interspeech_2017/abstracts/1469.html"]}, {"id": "0a100cb8a1accb69905374ef35c13f36c073873e", "title": "Multimodal Analysis of User-Generated Multimedia Content", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-61807-4"]}, {"id": "142b46642dd46566f7be8c6263dfc6bf13a8b0dd", "title": "S2L: Single-Streamline For Complex Video Event Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551529", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551529", "http://doi.org/10.1109/ICMEW.2018.8551529"]}, {"id": "aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912", "title": "ORCHARD: Visual object recognition accelerator based on approximate in-memory processing", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/iccad17_orchard.pdf", "http://nvmw.ucsd.edu/nvmw18-program/unzip/current/nvmw2018-final8.pdf", "http://seelab.ucsd.edu/papers/ykim_2017_orchard.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8203756", "http://dl.acm.org/citation.cfm?id=3199704", "http://doi.org/10.1109/ICCAD.2017.8203756"]}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c", "title": "VizWiz Grand Challenge: Answering Visual Questions from Blind People", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "University of Colorado Boulder", "source_name": "University of Colorado Boulder, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08218.pdf"], "doi": []}, {"id": "0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6", "title": "Contextual Enrichment of Remote-Sensed Events with Social Media Streams", "addresses": [{"name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984063"]}, {"id": "9db77739a1b84c7a07c13a446684c9b63966f39e", "title": "The Lifecycle of Geotagged Multimedia Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2986911"]}, {"id": "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/03/NDSS2018_06B-1_Olteanu_Slides.pdf", "http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/07/ndss2018_06B-1_Olteanu_paper.pdf"], "doi": ["http://doi.org/10.14722/ndss.2018.23002", "https://serval.unil.ch/resource/serval:BIB_0D8D70E207E3.P001/REF"]}, {"id": "a38b4eaa536dd2b709eb725bf2a2192b162cbf06", "title": "Multi-modal Deep Learning Approach for Flood Detection", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a38b/4eaa536dd2b709eb725bf2a2192b162cbf06.pdf"], "doi": []}, {"id": "a1a58f2f195d8da57a84176c1fd53cea34371fed", "title": "Dimensionality Reduction for Image Features using Deep Learning and Autoencoders", "addresses": [{"name": "Klagenfurt University", "source_name": "Klagenfurt University, Klagenfurt, Austria", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095737"]}, {"id": "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "title": "Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval", "addresses": [{"name": "Delft University of Technology, Netherlands", "source_name": "Delft Univ. of Technol., Netherlands", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e11/24345969a536fd5fa78db05b6149ea262a69.pdf"], "doi": []}, {"id": "76908c01966d1656a13de779955aded5fc1fed32", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456", "http://doi.org/10.1109/TIP.2018.2882155", "https://www.ncbi.nlm.nih.gov/pubmed/30452370"]}, {"id": "d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b", "title": "Beyond Concept Detection: The Potential of User Intent for Image Retrieval", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132521"]}, {"id": "ea7d9a72e5f804567da3e9d937bd7d240c546d06", "title": "Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency", "addresses": [{"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s10115-017-1056-y"]}, {"id": "1957bf2457f4dbac1bc226a16a751ad8f00705d5", "title": "Robust bundle adjustment for large-scale structure from motion", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4581-5"]}, {"id": "06b94b47b70c9bfcddbe277a61a9a802acd20096", "title": "Future-Supervised Retrieval of Unseen Queries for Live Video", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123437"]}, {"id": "59c6c201e1e41c470c446e2762a156051c5107ae", "title": "Image Selection in Photo Albums", "addresses": [{"name": "University of Rennes 1", "source_name": "IRISA, University of Rennes 1, Rennes, France", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "Portugal"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206077"]}, {"id": "788b16995a689a918b7994977350e7db13ef96a4", "title": "Efficient Conversion of Deep Features to Compact Binary Codes Using Fourier Decomposition for Multimedia Big Data", "addresses": [{"name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "source_name": "Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}, {"name": "Sejong University", "source_name": "Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea", "street_adddress": "209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea", "lat": "37.55025960", "lng": "127.07313900", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276643", "http://doi.org/10.1109/TII.2018.2800163"]}, {"id": "f257e3ac714cd8fcd3b22d7d27ac6fab2db34097", "title": "Multimedia Big Data Analytics: A Survey", "addresses": [{"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3150226"]}, {"id": "830a532ca99fb9d8527dcfbac2d4003b4dd98eb7", "title": "Scheduling Large-scale Distributed Training via Reinforcement Learning", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622264", "http://doi.org/10.1109/BigData.2018.8622264"]}, {"id": "20c016843430bb65c60ea4011a9e8bbb5785c490", "title": "Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset", "addresses": [{"name": "DFKI GmbH, Kaiserslautern, Germany", "source_name": "DFKI GmbH, Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983560"]}, {"id": "7a0e9de471b25252afbf8cec566d4962538c5b78", "title": "Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation", "addresses": [{"name": "TU Delft & Radboud University Nijmegen", "source_name": "TU Delft & Radboud University Nijmegen", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Klagenfurt", "source_name": "University of Klagenfurt", "street_adddress": "Universit\u00e4tsstra\u00dfe 65-67, 9020 Klagenfurt am W\u00f6rthersee, Austria", "lat": "46.61607900", "lng": "14.26528990", "type": "edu", "country": "Austria"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2910619"]}, {"id": "b3e50a64709a62628105546e392cf796f95ea0fb", "title": "Clustering via Boundary Erosion", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04312.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "0e2e4b2deee91884d6da21c06e609b1f61270f70", "title": "How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science", "addresses": [{"name": "University of Pisa", "source_name": "University of Pisa", "street_adddress": "Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia", "lat": "43.72012990", "lng": "10.40789760", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0e2e/4b2deee91884d6da21c06e609b1f61270f70.pdf"], "doi": []}, {"id": "61b17f719bab899dd50bcc3be9d55673255fe102", "title": "Detecting Sarcasm in Multimodal Social Platforms", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02289.pdf"], "doi": []}, {"id": "7fd358a0eba775fe9d87f165cb2074fa8fa762e0", "title": "Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09145.pdf"], "doi": []}, {"id": "d3b3c82d73fac683aa23533d26240ec92d14352b", "title": "Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01373.pdf"], "doi": []}, {"id": "48a442646483d9777a2c5864a8e5f6d1a4851396", "title": "Kickstarting the Commons: The YFCC100M and the YLI Corpora", "addresses": [{"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2816986"]}, {"id": "788da403d220e2cc08dca9cffbe1f84b3c68469a", "title": "Causally Regularized Learning with Agnostic Data Selection Bias.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06656.pdf"], "doi": []}, {"id": "9064e178864208cb0e89fecdc8d26b846ccc8e55", "title": "Localizing Moments in Video with Temporal Language", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01337.pdf"], "doi": []}, {"id": "75b32783a098b3173d44f27f7b8329b6d48f369e", "title": "Scaling of foreign attractiveness for countries and states", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08132.pdf"], "doi": []}, {"id": "6f97f9959015cb0e93fba000ae468d22b4c5078a", "title": "A Discriminative and Compact Audio Representation for Event Detection", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970377"]}, {"id": "4ae7fb256d3251019f570776dfe34e8d234c6fdf", "title": "Exploiting social media information toward a context-aware recommendation system", "addresses": [{"name": "Ionian University", "source_name": "Ionian University", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u039b\u03b5\u03c9\u03c6. \u0399\u03c0\u03c0\u03bf\u03ba\u03c1\u03ac\u03c4\u03bf\u03c5\u03c2, \u03ba. \u03a1\u03af\u03bf\u03c5 (\u0391\u03b3\u03af\u03bf\u03c5 \u0393\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u03a1\u03af\u03bf\u03c5), \u03a0\u03ac\u03c4\u03c1\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b1\u03c4\u03c1\u03ad\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0391\u03c7\u03b1\u0390\u03b1\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0394\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2, \u03a0\u03b5\u03bb\u03bf\u03c0\u03cc\u03bd\u03bd\u03b7\u03c3\u03bf\u03c2, \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u0399\u03cc\u03bd\u03b9\u03bf, 26443, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "38.28994820", "lng": "21.78864690", "type": "edu", "country": "Greece"}, {"name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "source_name": "Institute of Informatics and Telecommunications, National Center for Scientific Research - \u201cDemokritos\u201d, Athens, Greece", "street_adddress": "\u039d\u03b5\u03b1\u03c0\u03cc\u03bb\u03b5\u03c9\u03c2 27 \u03ba\u03b1\u03b9, Patriarchou Grigoriou E, Ag. Paraskevi 153 41, Greece", "lat": "37.99998030", "lng": "23.81974790", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13278-017-0459-9"]}, {"id": "58d96262dff8f28e59e66491ffb7f36f28af07a3", "title": "Quartet-net Learning for Visual Instance Retrieval", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967262"]}, {"id": "01591390da1356b871aefe11d4bb92c1df5ba082", "title": "Online Appendix to : Content-based Image Retrieval", "addresses": [{"name": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0159/1390da1356b871aefe11d4bb92c1df5ba082.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "9d6993f60539d30ee325138b3465aa020fa3bcb4", "title": "Analysis and Optimization of fastText Linear Text Classifier", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05531.pdf"], "doi": []}, {"id": "1415c27bf7ddf4137d45f446cae6edfc9740919e", "title": "Few-Shot Hash Learning for Image Retrieval", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Wang_Few-Shot_Hash_Learning_ICCV_2017_paper.pdf", "https://ri.cmu.edu/wp-content/uploads/2017/12/45.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265357", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.148", "http://doi.org/10.1109/ICCVW.2017.148"]}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "dbf360fa9997b2918a8076f1d0df9a1fffa94ed7", "title": "Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dbf3/60fa9997b2918a8076f1d0df9a1fffa94ed7.pdf"], "doi": []}, {"id": "c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42", "title": "Graph-Based Early-Fusion for Flood Detection", "addresses": [{"name": "University of Campinas (Unicamp)", "source_name": "RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}, {"name": "Universit\u00e9 de Lorraine, Vandoeuvre-l\u00e8s-Nancy, France", "source_name": "Universit\u00e9 de Lorraine-LORIA UMR 7503, Vandoeuvre-l\u00e8s-Nancy, France", "street_adddress": "Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vand\u0153uvre-l\u00e8s-Nancy, France", "lat": "48.66579550", "lng": "6.15842070", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451011", "http://doi.org/10.1109/ICIP.2018.8451011"]}, {"id": "8a5be2b370c5a1df06e1063b306b2874706c24dc", "title": "The Konstanz natural video database (KoNViD-1k)", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "Hungarian Academy of Sciences", "source_name": "MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, \nBudapest, Hungary", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "Hungary"}], "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/814067/1/konstanz-natural-video.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/39103/Hosu_2-e7mh9z8d8u09.pdf?isAllowed=y&sequence=1", "https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaJe17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965673", "http://doi.org/10.1109/QoMEX.2017.7965673"]}, {"id": "bd41ce7362259dea758d84c219eeb0dd2f40337c", "title": "Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute, Berkeley", "source_name": "International Computer Science Institute, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980533"]}, {"id": "db989600b1857cea9abd14dba9c10808030c7d33", "title": "Delving Deep into Personal Photo and Video Search", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, New York City, NY, USA", "source_name": "Yahoo Research, New York City, NY, USA", "street_adddress": "New York, NY, USA", "lat": "40.71277530", "lng": "-74.00597280", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3018736"]}, {"id": "7ecbc1b186b4b2f6f6ea786572252984f1deb667", "title": "Mining exoticism from visual content with fusion-based deep neural networks", "addresses": [{"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-018-00165-4"]}, {"id": "d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7", "title": "Two-class 3D-CNN classifiers combination for video copy detection", "addresses": [{"name": "Shandong Normal University", "source_name": "Shandong Normal University, Jinan, China", "street_adddress": "88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014", "lat": "36.65270300", "lng": "117.04208300", "type": "edu", "country": "China"}, {"name": "Shandong Management University", "source_name": "Shandong Management University, Jinan, China", "street_adddress": "Yuansheng Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250100", "lat": "36.67283000", "lng": "117.06216700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6047-9"]}, {"id": "799b9904f37a515a9614f6a92ff673c4c6e97a7f", "title": "Survey on Visual-Based Localization", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/799b/9904f37a515a9614f6a92ff673c4c6e97a7f.pdf"], "doi": []}, {"id": "a50d2245d46ce0595ddbf25ae9acb8513aa70067", "title": "Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acd2/1d21ca466efb16b43ac9d647e99220fd6ddd.pdf"], "doi": []}, {"id": "4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4", "title": "Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858451"]}, {"id": "0f885fd46064d271d4404cf9bb3d758e1a6f8d55", "title": "Exploring the Limits of Weakly Supervised Pretraining", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00932.pdf"], "doi": []}, {"id": "1fefb2f8dd1efcdb57d5c2966d81f9ab22c1c58d", "title": "vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1fef/b2f8dd1efcdb57d5c2966d81f9ab22c1c58d.pdf"], "doi": []}, {"id": "a5628b377efcd69043b158388203502e41266852", "title": "Hybrid Indexes for Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126763"]}, {"id": "41e7df687f07102969b3bc0c89c8197942da326d", "title": "Developing and applying a benchmark for evaluating image stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://gigl.scs.carleton.ca/sites/default/files/david_mould/cag.pdf", "http://orca-mwe.cf.ac.uk/102362/1/cag.pdf", "http://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/benchmark-CAG-postprint.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2017.05.025"]}, {"id": "cbd0f4006df1b2661f2c3a711d95727d61756afe", "title": "Multimodal Classification of Moderated Online Pro-Eating Disorder Content", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025985"]}, {"id": "632d9b67c474aab18dc960d8a251b2030ad59bc1", "title": "Binarized Mode Seeking for Scalable Visual Pattern Discovery", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Binarized_Mode_Seeking_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100205", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.722", "http://doi.org/10.1109/CVPR.2017.722"]}, {"id": "8ee02b8d375b21fe37b837e1a9288624f47c38d3", "title": "The Lifecycle of Geotagged Data", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ee0/2b8d375b21fe37b837e1a9288624f47c38d3.pdf"], "doi": []}, {"id": "a019131087eaca6d33f43d9b38d9bd177f89855c", "title": "User-Generated Content in Social Media", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Tampere", "source_name": "University of Tampere", "street_adddress": "Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33100, Suomi", "lat": "61.49412325", "lng": "23.77920678", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a019/131087eaca6d33f43d9b38d9bd177f89855c.pdf"], "doi": []}, {"id": "fc8fb68a7e3b79c37108588671c0e1abf374f501", "title": "Semantic Pooling for Complex Event Analysis in Untrimmed Videos", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://cs.uwaterloo.ca/~y328yu/mypapers/pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565615", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2608901", "http://doi.org/10.1109/TPAMI.2016.2608901", "https://www.ncbi.nlm.nih.gov/pubmed/28113653"]}, {"id": "b44999bb2e23cf8ca0a413a2d006cc9800794650", "title": "More Than An Answer: Neural Pivot Network for Visual Qestion Answering", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123335"]}, {"id": "28453ccaaa89e46383e6164907d3e2a8f38549c6", "title": "Large Scale Indexing and Searching Deep Convolutional Neural Network Features", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-43946-4_14"]}, {"id": "2ccb12140ffc642010b448e7b6f77b3f57cea497", "title": "Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079665"]}, {"id": "247a14b584d8d83a9191149011de2908a8da605b", "title": "State of the Geotags: Motivations and Recent Changes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/247a/14b584d8d83a9191149011de2908a8da605b.pdf"], "doi": []}, {"id": "c92d6fdcb16eb547b3794a2d60cf04328fdd2344", "title": "Event Detection and Retrieval on Social Media", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03675.pdf"], "doi": []}, {"id": "edfc222d66267709b66440c17e66fb08c69f2ba6", "title": "Global multi-layer network of human mobility", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "University of Salzburg", "source_name": "University of Salzburg", "street_adddress": "Universit\u00e4t Salzburg - Unipark, 1, Erzabt-Klotz-Stra\u00dfe, Nonntal, Salzburg, 5020, \u00d6sterreich", "lat": "47.79475945", "lng": "13.05417525", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.05532.pdf"], "doi": []}, {"id": "df9a08016fa553a169d893ce2d3fca375bab4781", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df9a/08016fa553a169d893ce2d3fca375bab4781.pdf"], "doi": []}, {"id": "890291bc2367e802fca871d67880bdc4a05374cf", "title": "Modeling Characteristics of Location from User Photos", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3039683"]}, {"id": "db545026d0b42c2dcf935a1505a68edb36381194", "title": "Development of an Encrypting System for an Image Viewer based on Hill Cipher Algorithm", "addresses": [{"name": "Covenant University", "source_name": "Covenant University, Ota Ogun State, Nigeria", "street_adddress": "KM 10 Idiroko Rd, Ota, Nigeria", "lat": "6.67264470", "lng": "3.16121300", "type": "edu", "country": "Nigeria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db54/5026d0b42c2dcf935a1505a68edb36381194.pdf"], "doi": []}, {"id": "cb8a1b8d87a3fef15635eb4a32173f9c6f966055", "title": "A Survey on Deep Learning: Algorithms, Techniques, and Applications", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234150"]}, {"id": "06d10f906ac9023b5566c70a2600384b8c1b24c3", "title": "Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00536.pdf"], "doi": []}, {"id": "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "title": "Learning Points and Routes to Recommend Trajectories", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.07051.pdf"], "doi": []}, {"id": "f765c628c5483d7ad974a8605fdd3c7b4010ded2", "title": "Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7776845", "http://doi.org/10.1109/JBHI.2016.2637004", "https://www.ncbi.nlm.nih.gov/pubmed/28114049", "https://www.wikidata.org/entity/Q39004355"]}, {"id": "b83fa4fe617db200defe21a07f81aa8060587217", "title": "Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06052.pdf"], "doi": []}, {"id": "fbdfed192ea0e6508d931b3d00335d99e976c0d7", "title": "From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02899.pdf"], "doi": []}, {"id": "bf7f554ec8f5f44e9c942237effd282a16efecf6", "title": "SALIC: Social Active Learning for Image Classification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://epubs.surrey.ac.uk/812487/1/double.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7466862", "http://doi.org/10.1109/TMM.2016.2565440"]}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "37380f8247e7ddd77f0105914d97eef849b9dc47", "title": "CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622090", "http://doi.org/10.1109/BigData.2018.8622090"]}, {"id": "9fb32f4f332b6acb8eafa418b45650e54796f0a7", "title": "A Data-Centric Approach for Image Scene Localization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://infolab.usc.edu/DocsDemos/IEEE_BigData_ImageSceneLocalization.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621912", "http://doi.org/10.1109/BigData.2018.8621912"]}, {"id": "0a55824aa80e5a06af5bf8ba089b19db245471f1", "title": "Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0a55/824aa80e5a06af5bf8ba089b19db245471f1.pdf"], "doi": []}, {"id": "e346aef68ae6df61b83fdeaa71ded9ba0282325e", "title": "Partially-Supervised Image Captioning", "addresses": [{"name": "Macquarie University", "source_name": "Macquarie University, Sydney, Australia", "street_adddress": "Balaclava Rd, Macquarie Park NSW 2109, Australia", "lat": "-33.77382370", "lng": "151.11264980", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06004.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "title": "LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06480.pdf"], "doi": []}, {"id": "2874e3b4bde2203129773f1a7baf78f0710c490e", "title": "Selective Deep Convolutional Features for Image Retrieval", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00809.pdf"], "doi": []}, {"id": "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "title": "A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448670", "http://doi.org/10.1109/IVMSPW.2018.8448670"]}, {"id": "90eb833df9614da495712f4c1fbb65f8e7d9b356", "title": "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c12d/09f36feaa03a533d87eb3ceef5bc76989f05.pdf"], "doi": []}, {"id": "4d1aaf1027231979bb0cad6dc3e31e01925970cc", "title": "The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10569.pdf"], "doi": []}, {"id": "65429789a95b3026457de76d46b5ec94158ce10e", "title": "PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01956.pdf"], "doi": []}, {"id": "8a3d969732951e4d22c608d465b091b9272f03bb", "title": "Multimedia COMMONS - Community-Organized Multimodal Mining: Opportunities for Novel Solutions (MMCommons Workshop 2015)", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806409"]}, {"id": "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "title": "Addressing the Dark Side of Vision Research: Storage", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3f/b3ef83a5d5a905250a1ec986e720ae422ed4.pdf"], "doi": []}, {"id": "f54ce6b62e9889832d891f2aada677171d4219fe", "title": "Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting", "addresses": [{"name": "Motilal Nehru National Institute of Technology, Allahabad, India", "source_name": "Motilal Nehru National Institute of Technology, Allahabad, India", "street_adddress": "Barrister Mullah Colony, MNNIT Allahabad Campus, Teliarganj, Prayagraj, Uttar Pradesh 211004, India", "lat": "25.49201020", "lng": "81.86391630", "type": "edu", "country": "India"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Electro-Communications", "source_name": "The University of Electro-Communications", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983555"]}, {"id": "10e78afd7ea5f70e192b08be8fe1a978ad89394b", "title": "Video Stream Retrieval of Unseen Queries using Semantic Memory", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06753.pdf"], "doi": []}, {"id": "0bb078880758c023007950f1d7eea99e666e4f06", "title": "Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0bb0/78880758c023007950f1d7eea99e666e4f06.pdf"], "doi": []}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "20a1350815c4588a2380414bc78a7e215a2e3955", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "title": "The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d3da/e5c4f47a0457ebe2297d7e70432521c82cc6.pdf"], "doi": []}, {"id": "966a09ac570b043aebb7bd92fa116e8f40f50642", "title": "Cross-Modal Style Transfer", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451734", "http://doi.org/10.1109/ICIP.2018.8451734"]}, {"id": "4f90acbfe479bad10b1c733dc7e6a174fd4b2870", "title": "Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08321.pdf"], "doi": []}, {"id": "2bf37dd0ebaac003e67d11cc869e5e93b13dbd00", "title": "Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "FXPal, Palo Alto, CA, USA", "source_name": "FXPal, Palo Alto, CA, USA", "street_adddress": "3174 Porter Dr, Palo Alto, CA 94304, USA", "lat": "37.40615000", "lng": "-122.15083350", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, USA", "source_name": "Yahoo Labs, San Francisco, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806281"]}, {"id": "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "title": "Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/774a/e9c6b2a83c6891b5aeeb169cfd462d45f715.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "30a77605282133e83ee5a35cc5bd9fe46534836c", "title": "Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File", "addresses": [{"name": "ISTI-CNR, Via G.Moruzzi, Italy", "source_name": "ISTI-CNR, Via G.Moruzzi, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3095740"]}, {"id": "7f2a7d076bd2fad956dc5103191e392fb11adc49", "title": "Rapid, detail-preserving image downscaling", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980239"]}, {"id": "35d181da0b939bdf3bdf579969e5fe69e277e03e", "title": "Learning Features by Watching Objects Move", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06370.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "d50e47c59655d0274d60386c6627e2571242a121", "title": "Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559710"]}, {"id": "983f695c0ae44632182184f81579872f0353c6bc", "title": "V3C - A Research Video Collection", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}, {"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.04401.pdf"], "doi": []}, {"id": "612da08d1dd16ac0a3b61151c6cf40b1e95b50c3", "title": "Hybrid Indexes to Expedite Spatial-Visual Search", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05200.pdf"], "doi": []}, {"id": "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "title": "Active Learning from Noisy Tagged Images", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/3c8c9adef3b6a36c31c2682f2179e3013ae1.pdf"], "doi": []}, {"id": "968ab65077c4be1c1071120052b2e4b4f3d3c59a", "title": "\"Seeing is believing: the quest for multimodal knowledge\" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2903517"]}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "1f2b4b2670fb2ed83db817c95d52ca0e042d5315", "title": "Stepping stone graph for public movement analysis", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274913"]}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "57582fd607c8aad7245b497a6a68bc3a1901ef08", "title": "Neural Personalized Ranking for Image Recommendation", "addresses": [{"name": "Texas A&M Univerisity, College Station, TX, USA", "source_name": "Texas A&M Univerisity, College Station, TX, USA", "street_adddress": "400 Bizzell St, College Station, TX 77843, USA", "lat": "30.61853100", "lng": "-96.33649900", "type": "edu", "country": "United States"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159728"]}, {"id": "5ad42766d7ba40ceccd8047f6810b9cf6ac79748", "title": "Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3204941"]}, {"id": "e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49", "title": "Interactive Multimodal Learning on 100 Million Images", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912062"]}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "de09cb5eeff5e7a752567c009f7621dfa6ebb2da", "title": "Generating Affective Captions using Concept And Syntax Transition Networks", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984070"]}, {"id": "da30d5e0cf214c1d86f629081493fa55e5a27efc", "title": "Expertise screening in crowdsourcing image quality", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoLiSa18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463427", "http://doi.org/10.1109/QoMEX.2018.8463427"]}, {"id": "7d0ff6d0621b3846e8543bc162fd0215d8adfaf0", "title": "Efficient Large-Scale Similarity Search Using Matrix Factorization", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780597", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.228", "http://doi.org/10.1109/CVPR.2016.228", "https://hal.inria.fr/hal-01238242/document"]}, {"id": "dcc414adda5432011bfc53359075dd341b924910", "title": "LF-Net: Learning Local Features from Images", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}, {"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09662.pdf"], "doi": []}, {"id": "d89b7eb82a663187f63e7d69dca11f204c74fcb1", "title": "Nonlinear Structural Hashing for Scalable Video Search", "addresses": [{"name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology", "source_name": "Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "gov", "country": "China"}], "year": "2018", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Nonlinear%20structural%20hashing%20for%20scalable%20video%20search.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855682", "http://doi.org/10.1109/TCSVT.2017.2669095"]}, {"id": "0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11", "title": "Windsurf: the best way to SURF", "addresses": [{"name": "Universit\u00e0 di Bologna", "source_name": "C.d.L. Scienze dell'Informazione - Universit\u00e0 di Bologna, via Sacchi 3, 47023 Cesena, ITALY", "street_adddress": "Via Scipione Sacchi, 3, 47521 Cesena FC, Italy", "lat": "44.13977980", "lng": "12.24318990", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0567-4"]}, {"id": "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "title": "Structured Recommendation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09067.pdf"], "doi": []}, {"id": "34f5acebcb39d844d3bef5cf4a840fb505bda5e1", "title": "In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100M", "addresses": [{"name": "CERTH, Thermi-Thessaloniki, Greece", "source_name": "CERTH, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983558"]}, {"id": "353a058f49a8c60b41e9cd28962f6060cf4f6646", "title": "The research of multimedia cloud computing platform data dynamic task scheduling optimization method in multi core environment", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "College of Humanities & Information of Changchun University of Technology", "source_name": "College of Humanities & Information of Changchun University of Technology, Changchun, China", "street_adddress": "1016 Fuzhi Rd, Nanguan Qu, Changchun Shi, Jilin Sheng, China, 130122", "lat": "43.78308800", "lng": "125.42858700", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-016-3667-9"]}, {"id": "ed2f4e5ecbc4b08ee0784e97760a7f9e5ea9efae", "title": "Deep-Structured Event Modeling for User-Generated Photos", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241843", "http://doi.org/10.1109/TMM.2017.2788210", "https://doi.org/10.1109/TMM.2017.2788210"]}, {"id": "6b6cd29c63d3ada53c7a7664248c6db8387da88a", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275", "http://doi.org/10.1109/CBMI.2018.8516275"]}, {"id": "aef293fa9617a8924389b95f313540c1329cb2b1", "title": "LocXplore: a system for profiling urban regions", "addresses": [{"name": "Freie Universit\u00e4t Berlin, Germany", "source_name": "Freie Universit\u00e4t Berlin, Germany", "street_adddress": "Kaiserswerther Str. 16-18, 14195 Berlin, Germany", "lat": "52.45252640", "lng": "13.28967870", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3274924"]}, {"id": "2e57eef707fa9c89d2a7ac68f55c26dea850c5ea", "title": "Mixture of Convolutional Neural Networks for Image Classification", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e57/eef707fa9c89d2a7ac68f55c26dea850c5ea.pdf"], "doi": []}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "fcb0e0b0b5ba4daae62323d7b26abdc83f80952a", "title": "Real-time Analysis and Visualization of the YFCC100m Dataset", "addresses": [{"name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "University of Kaiserslautern", "source_name": "University of Kaiserslautern, Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 1, 67663 Kaiserslautern, Germany", "lat": "49.42537740", "lng": "7.75554960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814820"]}, {"id": "5ba2218b708ca64ab556e39d5997202e012717d5", "title": "Audio Set: An ontology and human-labeled dataset for audio events", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952261"]}, {"id": "004aa2cb4b68850ee006af8a6807b3c1a6a198f0", "title": "Deep Classifiers from Image Tags in the Wild", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814821"]}, {"id": "256f09fe3163564958381d7f3727b5c27c19144c", "title": "Image2Emoji: Zero-shot Emoji Prediction for Visual Media", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806335"]}, {"id": "26861e41e5b44774a2801e1cd76fd56126bbe257", "title": "Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2686/1e41e5b44774a2801e1cd76fd56126bbe257.pdf"], "doi": []}, {"id": "2577211aeaaa1f2245ddc379564813bee3d46c06", "title": "Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.06974.pdf"], "doi": []}, {"id": "023dfda497ca5ecbe1aa03843bc4e85621c26e8d", "title": "What makes ImageNet good for transfer learning?", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08614.pdf"], "doi": []}, {"id": "6354b0dc8f0f7326133c4a275e1d3988747473a9", "title": "Retrieving Social Flooding Images Based on Multimodal Information", "addresses": [{"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a945/33178e89871c2be210eb0634023861378509.pdf"], "doi": []}, {"id": "47de7339f70075f6ac1a77d3dba23dbe3e435b73", "title": "EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media", "addresses": [{"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809932"]}, {"id": "fd0a462934359b52051ae95b970c9e01f4f32539", "title": "Fast and Accurate Content-based Semantic Search in 100M Internet Videos", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806237"]}, {"id": "684f87f29176db22743b327edd070ce366a8cf76", "title": "Unsupervised Latent Aspect Discovery for Diverse Event Summarization", "addresses": [{"name": "National Taiwan Unversity, Taipei, Taiwan Roc", "source_name": "National Taiwan Unversity, Taipei, Taiwan Roc", "street_adddress": "No. 1, Section 4, Roosevelt Rd, Da\u2019an District, Taipei City, Taiwan 10617", "lat": "25.01734050", "lng": "121.53975180", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809935"]}, {"id": "c10c5d3fd3575570ec55ddbe838fb2a52cf97bc9", "title": "TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "f0b0dc397cf31df4fda45c0187190c42de5adf40", "title": "Exploiting Spatial Relationship between Scenes for Hierarchical Video Geotagging", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749354"]}, {"id": "14e55a8090d27b3a8c807be68463bf87a8203ab1", "title": "The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Lawrence Livermore National Laboratory", "source_name": "Lawrence Livermore National Laboratory, United States", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2661125"]}, {"id": "6eb5f375d67dd690ec3b134de7caecde461e8c72", "title": "Learning to detect concepts from webly-labeled video data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/250.pdf", "http://www.cs.cmu.edu/~lujiang/camera_ready_papers/IJCAI_2016.pdf", "https://www.ijcai.org/Proceedings/16/Papers/250.pdf"], "doi": ["http://www.ijcai.org/Abstract/16/250"]}, {"id": "63569084eca9ddf60cc0ff27d0155042433cb654", "title": "Classification of Architectural Heritage Images Using Deep Learning Techniques", "addresses": [{"name": "University of Valladolid", "source_name": "University of Valladolid, Valladolid, Spain", "street_adddress": "C/Plaza de Santa Cruz, 8, 47002 Valladolid, Spain", "lat": "41.65692710", "lng": "-4.71405470", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a1c/4e75c74b715fcc0903a044c4f7aa3d3bbf1c.pdf"], "doi": []}, {"id": "3c4c15a6597223887e0a5384237fd2a89b176e4a", "title": "Optimized Product Quantization", "addresses": [{"name": "Microsoft Bing, Sunnyvale", "source_name": "Microsoft Bing, Sunnyvale", "street_adddress": "755 N Mathilda Ave, Sunnyvale, CA 94085, USA", "lat": "37.39412440", "lng": "-122.03018430", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://kaiminghe.com/publications/pami13opq.pdf", "http://research.microsoft.com/en-us/um/people/jiansun/papers/tr13_opq.pdf", "http://research.microsoft.com/pubs/193148/opq_tr.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/11/pami13opq.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/opq_tr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678503", "http://doi.org/10.1109/TPAMI.2013.240", "https://www.ncbi.nlm.nih.gov/pubmed/26353197", "https://www.wikidata.org/entity/Q50855436"]}, {"id": "7113bf11db5fd3b14c9e6d3388a58a5930f0cac1", "title": "A benchmark image set for evaluating stylization", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7113/bf11db5fd3b14c9e6d3388a58a5930f0cac1.pdf"], "doi": []}, {"id": "723b87aca073b7b82970a4580f64ba8c6c64691b", "title": "Improving Personalized Trip Recommendation by Avoiding Crowds", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983749"]}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "9bbc952adb3e3c6091d45d800e806d3373a52bac", "title": "Learning Visual Classifiers using Human-centric Annotations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bbc/952adb3e3c6091d45d800e806d3373a52bac.pdf"], "doi": []}, {"id": "ea0d399d32f6d3fd4bcf95bc964a9fd62629ff78", "title": "Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079003"]}, {"id": "3ad6bd5c34b0866019b54f5976d644326069cb3d", "title": "Towards next generation touring: personalized group tours", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://people.eng.unimelb.edu.au/limk2/2016-ICAPS-groupTourRec.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/12803"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "53b8766a86782535ba9d6b4c18f7cefce86f745c", "title": "Insights into Audio-Based Multimedia Event Classification with Neural Networks", "addresses": [{"name": "Fondazione Bruno Kessler, Trento, Italy", "source_name": "Fondazione Bruno Kessler, Trento, Italy", "street_adddress": "Via Santa Croce, 77, 38122 Trento TN, Italy", "lat": "46.06273420", "lng": "11.12441070", "type": "edu", "country": "Italy"}, {"name": "International Computer Science Institute, Berkeley, CA", "source_name": "International Computer Science Institute, Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814816"]}, {"id": "a902ae7016408a63c3a2539d012e07070c29f9d6", "title": "Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578729"]}, {"id": "295e9b2ddb3c9c7d029a99d5b877bf3824949f1b", "title": "Reconstructing the world* in six days", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://frahm.web.unc.edu/files/2014/08/cvpr2015-heinly.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-abstract.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly-poster.pdf", "http://www.cs.unc.edu/~jheinly/publications/cvpr2015-heinly.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_115_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298949", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298949", "http://doi.org/10.1109/CVPR.2015.7298949"]}, {"id": "15c23faedb0b03b94f2ca5c6e39380c5b51f869c", "title": "CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02130.pdf"], "doi": []}, {"id": "7f6eb3011704c580e53c9d6e020a3fc63069a5d7", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "cebd79bc878d550f107fddfae0e283e293938495", "title": "The Geography and Importance of Localness in Geotagged Social Media", "addresses": [{"name": "Hasselt University", "source_name": "Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium", "street_adddress": "E, Willem de Croylaan 56, 3001 Leuven, Belgium", "lat": "50.85700400", "lng": "4.67632950", "type": "edu", "country": "Belgium"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858122"]}, {"id": "dc99e69e32b953f9d2a64b085ee5a875bb82bcbd", "title": "WISC at MediaEval 2017: Multimedia Satellite Task", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48e3/61ac15c9c048ef20fbc8a60c21f0ef3e6885.pdf"], "doi": []}, {"id": "49455079e54d7d06fd2d5617507947a31d4f9198", "title": "LBANN: livermore big artificial neural network HPC toolkit", "addresses": [{"name": "Lawrence Livermore National Laboratory, Livermore, CA", "source_name": "Lawrence Livermore National Laboratory, Livermore, CA", "street_adddress": "7000 East Ave, Livermore, CA 94550, USA", "lat": "37.68696340", "lng": "-121.70587520", "type": "gov", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2834897"]}, {"id": "2814c1f23bc57c76fd3ef499483995c3e919c50c", "title": "Predicting floods with Flickr tags", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2814/c1f23bc57c76fd3ef499483995c3e919c50c.pdf"], "doi": []}, {"id": "2e64ba3370cc5be4c14b16b4372ed2f8dae67390", "title": "SentiCap: Generating Image Descriptions with Sentiments", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.01431.pdf"], "doi": []}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "b4fbcf9413f7b4d629d5279fbb6e22ddb0b4a450", "title": "Multi-Object Detection in Traffic Scenes Based on Improved SSD", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4fb/cf9413f7b4d629d5279fbb6e22ddb0b4a450.pdf"], "doi": []}, {"id": "5393ed3ec3c7a8a02b093569c757414d3279ff93", "title": "Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}, {"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07584.pdf"], "doi": []}, {"id": "be1a67cf11561b3d4491022ea9b4358f2b52e530", "title": "Ubiquitous Multimedia: Emerging Research on Multimedia Computing", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Universidade de Lisboa, Portugal", "source_name": "Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Portugal", "street_adddress": "Instituto Superior T\u00e9cnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal", "lat": "38.73684640", "lng": "-9.13934570", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5b9c/12b3f1e98f04be1b810f8cfb9899b1b7f2b8.pdf"], "doi": []}, {"id": "6e6a049944d74e5c44ffde79c0bfbb1385eee807", "title": "Incremental Learning for Fine-Grained Image Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Yahoo Labs, San Francisco, CA, USA", "source_name": "Yahoo Labs, San Francisco, CA, USA", "street_adddress": "110 5th St, San Francisco, CA 94103, USA", "lat": "37.78195790", "lng": "-122.40604020", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912069"]}, {"id": "d983231cc90305e0802e797f74de2b816b90750c", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "ca787881403c67c07cbeaeec21beba7d27d271b0", "title": "Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01278.pdf"], "doi": []}, {"id": "c8b4beb3dd4d6594fcad58de0394c731d112780f", "title": "Leveraging Multimodal Semantics and Sentiments Information in Event Understanding and Summarization", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8b4/beb3dd4d6594fcad58de0394c731d112780f.pdf"], "doi": []}, {"id": "cccc169185d5a88a9fcdc4ab1477a8500cc9861b", "title": "Leveraging Expert Feature Knowledge for Predicting Image Aesthetics", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}, {"name": "Kodak Alaris, Inc., Rochester, NY, USA", "source_name": "Kodak Alaris, Inc., Rochester, NY, USA", "street_adddress": "336 Initiative Dr, Rochester, NY 14624, USA", "lat": "43.14949140", "lng": "-77.73558320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374927", "http://doi.org/10.1109/TIP.2018.2845100", "https://www.ncbi.nlm.nih.gov/pubmed/29994210"]}, {"id": "749bdd328e8c98cc6e82add044663e09ff2f1a17", "title": "Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123336"]}, {"id": "1bec14f3722ac91c83d6c0cdde4aeaa66ca8f42d", "title": "Fully Dynamic k-Center Clustering", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/436d/68e5f40a04ddf6a279d64cef3b824466990a.pdf"], "doi": []}, {"id": "eb28671c43e6f3bfeee3b5bec8023887d8c07bc7", "title": "Towards Personalized Image Captioning via Multimodal Memory Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8334621"]}, {"id": "ea69c62f4f92f4a9de64d62dd5176e5332926c24", "title": "A global assessment of tourism and recreation conservation threats to prioritise interventions", "addresses": [{"name": "University of Aberdeen", "source_name": "University of Aberdeen", "street_adddress": "University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK", "lat": "57.16461430", "lng": "-2.10186013", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08399.pdf"], "doi": []}, {"id": "0de3a52c019c114dbd97663fdf4e72a2dec07808", "title": "Network of Experts for Large-Scale Image Categorization", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06119.pdf"], "doi": []}, {"id": "b6397f818f67faad6a36de8480212f6e7e82e71c", "title": "Tag Prediction at Flickr: A View from the Darkroom", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126745"]}, {"id": "88cc230c6755dc88e110032a5ef96b6251c03917", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fbd7/d591e6eecb9a947e377d5b1a865a9f86a11f.pdf"], "doi": []}, {"id": "289c62c5286745cb94d52ecae9f087db4cca3bf3", "title": "Unsupervised Representation Learning with Clustering in Deep Convolutional Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/289c/62c5286745cb94d52ecae9f087db4cca3bf3.pdf"], "doi": []}, {"id": "17c4a18911efb909deb228cb3fbfb6610c82f751", "title": "DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "Reykjavik University", "source_name": "Reykjavik University, Reykjav\u00edk, Iceland", "street_adddress": "Menntavegur 1, 101 Reykjav\u00edk, Iceland", "lat": "64.12372200", "lng": "-21.92689610", "type": "edu", "country": "Iceland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516275"]}, {"id": "b4b9ec699c873cfbb16647966b230b522bc0113e", "title": "DTRP: A Flexible Deep Framework for Travel Route Planning", "addresses": [{"name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "source_name": "China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China", "street_adddress": "Guo Jia Ji Suan Ji Wang Luo Ying Ji Ji Shu Chu Li Xie Tiao Zhong Xin, Chaoyang Qu, Beijing Shi, China, 100029", "lat": "39.97436960", "lng": "116.38734270", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68783-4_25"]}, {"id": "80d109b71001d5184b34d48835a9bc00afdfa9ca", "title": "An efficient multi-feature SVM solver for complex event detection", "addresses": [{"name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "source_name": "Beijing Etrol Technologies Co., Ltd., Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5166-z"]}, {"id": "cfeda236987b04250a218b688e32b6b35c617ba4", "title": "Multi-scale Hierarchical Residual Network for Dense Captioning", "addresses": [{"name": "Zhejiang Gongshang University", "source_name": "Zhejiang Gongshang University, Hangzhou, China", "street_adddress": "18 Xuezheng St, Jianggan Qu, Hangzhou Shi, Zhejiang Sheng, China, 310018", "lat": "30.30875200", "lng": "120.38852900", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/cfed/a236987b04250a218b688e32b6b35c617ba4.pdf"], "doi": []}, {"id": "996dc200dd686c39e235aec78f7c6acd903a970f", "title": "Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections", "addresses": [{"name": "CEA LIST, Gif-sur-Yvette, France", "source_name": "CEA LIST, Gif-sur-Yvette, France", "street_adddress": "B\u00e2timent 565, 91191 Gif-sur-Yvette, France", "lat": "48.72751930", "lng": "2.15684880", "type": "edu", "country": "France"}, {"name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "source_name": "CERTH-ITI, Thermi-Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814819"]}, {"id": "2ede3ba3149bdb180387669acd7cc47aea2bfaba", "title": "Computer Vision Based and FPRank Based Tag Recommendation for Social Popularity Enhancement", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180311"]}, {"id": "33737f966cca541d5dbfb72906da2794c692b65b", "title": "Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w28/papers/Mensink_Spotting_Audio-Visual_Inconsistencies_CVPR_2017_paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/bolles17cvprwmf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014972", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.238", "http://doi.org/10.1109/CVPRW.2017.238"]}, {"id": "11d527d2f77df6200d8760d9d2163320e621bde1", "title": "Fashion Culture Database: Construction of Database for World-wide Fashion Analysis", "addresses": [{"name": "National Institute of Advanced Industrial Science and Technology", "source_name": "National Institute of Advanced Industrial Science and Technology", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581148"]}, {"id": "6816cd8f4fcfda892d8f993cc0ae4d9e10db4178", "title": "A Tag Recommendation System for Popularity Boosting", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127913"]}, {"id": "4daf898d78ed64c990b99ebf04f84380d7fedb84", "title": "Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines", "addresses": [{"name": "ISTI-CNR, Pisa, Italy", "source_name": "ISTI-CNR, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079035"]}, {"id": "8f19553b81c8a93f199f89533c2185dd35c02709", "title": "How Geotagged Social Media Can Inform Modern Travelers", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f19/553b81c8a93f199f89533c2185dd35c02709.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "35734e8724559fb0d494e5cba6a28ad7a3d5dd4d", "title": "Explaining and Harnessing Adversarial Examples", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6572.pdf"], "doi": []}, {"id": "279735d7811b31c936306c28ede01b97ff072060", "title": "Estimating the Accuracies of Multiple Classifiers Without Labeled Data", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.7644.pdf"], "doi": []}, {"id": "982ede05154c1afdcf6fc623ba45186a34f4b9f2", "title": "The Many Shades of Negativity", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7835107", "http://doi.org/10.1109/TMM.2017.2659221"]}, {"id": "062d67af7677db086ef35186dc936b4511f155d7", "title": "They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~epxing/papers/2016/Chang_Yu_Yang_Xing_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "https://opus.lib.uts.edu.au/bitstream/10453/58433/4/cvpr16a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780577", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.208", "http://doi.org/10.1109/CVPR.2016.208"]}, {"id": "d3008b4122e50a28f6cc1fa98ac6af28b42271ea", "title": "Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806218"]}, {"id": "811f42b16e917a53cbcc605112781d8ab76bd31b", "title": "Care to Share?: Learning to Rank Personal Photos for Public Sharing", "addresses": [{"name": "Ben-Gurion University of the Negev & eBay Research", "source_name": "Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research, Haifa, Israel", "source_name": "Yahoo Research, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159713"]}, {"id": "85304f24f5a1800e66de20ad05e20c8c032b7d03", "title": "Understanding and Discovering Deliberate Self-harm Content in Social Media", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8530/4f24f5a1800e66de20ad05e20c8c032b7d03.pdf"], "doi": []}, {"id": "7f05df12dff3defee495507abd4870a0a30c3590", "title": "Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f05/df12dff3defee495507abd4870a0a30c3590.pdf"], "doi": []}, {"id": "2110dd412aa5a0ace530cd9aef1464e8682a71c1", "title": "Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval", "addresses": [{"name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "source_name": "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "company", "country": "United Arab Emirates"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540456"]}, {"id": "e9b97cff4bf7ca4029cbe6b3919f796c6668e1a1", "title": "VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974787", "http://doi.org/10.1109/TMM.2017.2722687"]}, {"id": "10b780a1154ca70d64b795a6d52945f22d5b31ce", "title": "Self-Paced Learning with Diversity", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4460/6e1209a47d1fcf88b90e306db9e4b84fa2c5.pdf"], "doi": []}, {"id": "d6bd16cdefd96cdb22a88e290ea1db629b65fdf7", "title": "ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8508249"]}, {"id": "28550d85622f3f93134a54b203a37213a29f5e54", "title": "Distributional Smoothing with Virtual Adversarial Training", "addresses": [{"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00677.pdf"], "doi": []}, {"id": "1e91f4615bcdce4604044395a1431bb1c9b78484", "title": "Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03476.pdf"], "doi": []}, {"id": "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "title": "CERTH/CEA LIST at MediaEval Placing Task 2015", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ea98/5e35b36f05156f82ac2025ad3fe8037be0cd.pdf"], "doi": []}, {"id": "e3137bb7d73b4f846ad00800b46cc4118d2e0a34", "title": "Multimodal Graph-based Event Detection and Summarization in Social Media Streams", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}, {"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2809933"]}, {"id": "29025c172b441818d3da51e977af11b82c59df91", "title": "Learning Sound Event Classifiers from Web Audio with Noisy Labels", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01189.pdf"], "doi": []}, {"id": "a4db1ee9ec8127a5c21a4c79261a1f298f651421", "title": "Instructional Videos for Unsupervised Harvesting and Learning of Action Examples", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654997"]}, {"id": "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "title": "Learning Geo-Temporal Image Features.", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "Washington University", "source_name": "Washington University", "street_adddress": "Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA", "lat": "38.64804450", "lng": "-90.30996670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0586.pdf", "http://cs.uky.edu/~ted/assets/pdfs/whenwhere.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/adience.json b/site/datasets/unknown/adience.json index b975d7bf..1dc3d858 100644 --- a/site/datasets/unknown/adience.json +++ b/site/datasets/unknown/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "citations": [{"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "02138f475677ca1f9a5919870a78a3e4518b395a", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"]}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"], "doi": []}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912201", "http://doi.org/10.1109/WACVW.2017.8"]}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961849", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119", "http://doi.org/10.1109/FG.2017.119"]}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2016.0169"]}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912202", "http://doi.org/10.1109/WACVW.2017.9"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "1f76b7b071f3e65c97d09720f88d6b0ad9f07e8f", "title": "Identity Mappings in Deep Residual Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05027.pdf"], "doi": []}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.011"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "8fee9b8c44626c4ac6b96ef183394bc4f36dc95f", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "d7f6eaa5caa0d187cd1fe51d5bc27343921e7539", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "a38168015a783fecc5830260a7eb5b9e3e945ee2", "title": "Deep Networks with Stochastic Depth", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09382.pdf"], "doi": []}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "73b83ef7ee5f929be51a91096b57c098008f384e", "title": "Mining Wrinkle-Patterns with Local EdgePrototypic Pattern (LEPP) Descriptor for the Recognition of Human Age-groups", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/73b8/3ef7ee5f929be51a91096b57c098008f384e.pdf"], "doi": []}, {"id": "e8d0eb3c3bf64b38ec04e982745147428459e2d2", "title": "Unimodal Probability Distributions for Deep Ordinal Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05278.pdf"], "doi": []}, {"id": "3d0444be5be1d19d93e91519e48e314b3035e4cf", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396992"]}, {"id": "39539b7fcf1c637b04de84b23dc9c85a8b2f9f40", "title": "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04980.pdf"], "doi": []}, {"id": "ece46e3a126953f639149fc233bddcd44d8afad1", "title": "Semantic-Based Facial Image-Retrieval System with Aid of Adaptive Particle Swarm Optimization and Squared Euclidian Distance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ece4/6e3a126953f639149fc233bddcd44d8afad1.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "3b50a85ba29f0f7eb49fb275be86e6c2b4f8fa4b", "title": "Image ordinal classification with deep multi-view learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3b50/a85ba29f0f7eb49fb275be86e6c2b4f8fa4b.pdf"], "doi": []}, {"id": "d019a79c98bf094b99a103a7481e8d975e4a0685", "title": "Implementation of machine learning for gender detection using CNN on raspberry Pi platform", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398872"]}, {"id": "630a9b8830c3805b64ccbc2b30fa842e08d399bd", "title": "A Benchmark Methodology for Child Pornography Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614362"]}, {"id": "3540625bc996601a9d04c4027169b7fcad1b9eae", "title": "TECHNIQUES IN ORDINAL CLASSIFICATION AND IMAGE-TO-IMAGE TRANSLATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3540/625bc996601a9d04c4027169b7fcad1b9eae.pdf"], "doi": []}, {"id": "76b06a9a7f16b8004dc9c4dd2d1d0a1aec0acd28", "title": "Zero-shot Domain Adaptation Based on Attribute Information", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.05312.pdf"], "doi": []}, {"id": "091f6541ffd83985405334842dc60e16d4c52a12", "title": "Real-time demographic profiling from face imagery with Fisher vectors", "year": "2018", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/mva18.pdf", "https://www.micc.unifi.it/wp-content/uploads/2019/01/realtime-demographic.pdf"], "doi": ["https://doi.org/10.1007/s00138-018-0991-2"]}, {"id": "c43d3ad956118ea1d26d39903097e2db86eae822", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}, {"id": "0dc61f199539cd15f847b688740be49b39e3d520", "title": "Age Group Determination from Face Using Texture Classification based on Probabilistic Non-Extensive Entropy", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0dc6/1f199539cd15f847b688740be49b39e3d520.pdf"], "doi": []}, {"id": "c0608626b2780a54667ba683679edcff13998cd2", "title": "Data-Specific Adaptive Threshold for Face Recognition and Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695322"]}]} \ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "citations": [{"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "02138f475677ca1f9a5919870a78a3e4518b395a", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"]}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"], "doi": []}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912201", "http://doi.org/10.1109/WACVW.2017.8"]}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961849", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119", "http://doi.org/10.1109/FG.2017.119"]}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2016.0169"]}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912202", "http://doi.org/10.1109/WACVW.2017.9"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.011"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "d7f6eaa5caa0d187cd1fe51d5bc27343921e7539", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "73b83ef7ee5f929be51a91096b57c098008f384e", "title": "Mining Wrinkle-Patterns with Local EdgePrototypic Pattern (LEPP) Descriptor for the Recognition of Human Age-groups", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/73b8/3ef7ee5f929be51a91096b57c098008f384e.pdf"], "doi": []}, {"id": "e8d0eb3c3bf64b38ec04e982745147428459e2d2", "title": "Unimodal Probability Distributions for Deep Ordinal Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05278.pdf"], "doi": []}, {"id": "3d0444be5be1d19d93e91519e48e314b3035e4cf", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396992"]}, {"id": "ece46e3a126953f639149fc233bddcd44d8afad1", "title": "Semantic-Based Facial Image-Retrieval System with Aid of Adaptive Particle Swarm Optimization and Squared Euclidian Distance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ece4/6e3a126953f639149fc233bddcd44d8afad1.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "3b50a85ba29f0f7eb49fb275be86e6c2b4f8fa4b", "title": "Image ordinal classification with deep multi-view learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3b50/a85ba29f0f7eb49fb275be86e6c2b4f8fa4b.pdf"], "doi": []}, {"id": "d019a79c98bf094b99a103a7481e8d975e4a0685", "title": "Implementation of machine learning for gender detection using CNN on raspberry Pi platform", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398872"]}, {"id": "630a9b8830c3805b64ccbc2b30fa842e08d399bd", "title": "A Benchmark Methodology for Child Pornography Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614362"]}, {"id": "3540625bc996601a9d04c4027169b7fcad1b9eae", "title": "TECHNIQUES IN ORDINAL CLASSIFICATION AND IMAGE-TO-IMAGE TRANSLATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3540/625bc996601a9d04c4027169b7fcad1b9eae.pdf"], "doi": []}, {"id": "091f6541ffd83985405334842dc60e16d4c52a12", "title": "Real-time demographic profiling from face imagery with Fisher vectors", "year": "2018", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/mva18.pdf", "https://www.micc.unifi.it/wp-content/uploads/2019/01/realtime-demographic.pdf"], "doi": ["https://doi.org/10.1007/s00138-018-0991-2"]}, {"id": "0dc61f199539cd15f847b688740be49b39e3d520", "title": "Age Group Determination from Face Using Texture Classification based on Probabilistic Non-Extensive Entropy", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0dc6/1f199539cd15f847b688740be49b39e3d520.pdf"], "doi": []}, {"id": "c0608626b2780a54667ba683679edcff13998cd2", "title": "Data-Specific Adaptive Threshold for Face Recognition and Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695322"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/afad.json b/site/datasets/unknown/afad.json index 3d0266e6..79b90254 100644 --- a/site/datasets/unknown/afad.json +++ b/site/datasets/unknown/afad.json @@ -1 +1 @@ -{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "citations": [{"id": "732e8d8f5717f8802426e1b9debc18a8361c1782", "title": "Unimodal Probability Distributions for Deep Ordinal Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/732e/8d8f5717f8802426e1b9debc18a8361c1782.pdf"], "doi": []}, {"id": "db24a2c27656db88486479b26f99d8754a44f4b8", "title": "Age estimation via face images : a survey", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db24/a2c27656db88486479b26f99d8754a44f4b8.pdf"], "doi": []}, {"id": "6a951a47aa545e08508b0b2c6a2bef45e154a3a9", "title": "DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02206.pdf"], "doi": []}, {"id": "0d3d290e93ac76d5ef2d6c8bbced79fb3101ad36", "title": "Conditional Adversarial Synthesis of 3D Facial Action Units.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07421.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "7942d0c6e5d1a2440061f2ea4bc27e32badb9c3d", "title": "Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores.", "year": "2017", "pdf": ["http://protocols.netlab.uky.edu/~rvkavu2/research/rdoc-rios-jbi-17.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28506904", "http://doi.org/10.1016/j.jbi.2017.05.008"]}, {"id": "fc2b5fa51a275af4c96029ca18789504f9f55393", "title": "Relationships Self-Learning Based Gender-Aware Age Estimation", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-09993-9"]}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373906", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00113", "http://doi.org/10.1109/FG.2018.00113"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "dd6bdc336a8cbcde80725922b637617b5abb26af", "title": "Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1467-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Weakly-Supervised_Deep_Convolutional_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578344", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00246", "http://doi.org/10.1109/CVPR.2018.00246"]}, {"id": "5da29e393a92632633095ddd5e1b343bc5b11876", "title": "Deep Ordinal Regression Network for Monocular Depth Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578312"]}, {"id": "677251fae7ccc62bb776374daee146cc2b7f0f4b", "title": "DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6772/51fae7ccc62bb776374daee146cc2b7f0f4b.pdf"], "doi": []}, {"id": "9427c56810d422bdff00adaec42f13ecbc0aa811", "title": "Recurrent convolutional network for video-based smoke detection", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5561-5"]}, {"id": "3540625bc996601a9d04c4027169b7fcad1b9eae", "title": "TECHNIQUES IN ORDINAL CLASSIFICATION AND IMAGE-TO-IMAGE TRANSLATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3540/625bc996601a9d04c4027169b7fcad1b9eae.pdf"], "doi": []}, {"id": "555222f2ad6dae447eef04f96fa40c1b8a397150", "title": "CaloriNet: From silhouettes to calorie estimation in private environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08152.pdf"], "doi": []}, {"id": "f9bce7bd7909f1c75dbeb44900d374bc89072df0", "title": "Weakly-Supervised Attention and Relation Learning for Facial Action Unit Detection", "year": "2018", "pdf": [], "doi": []}, {"id": "806c07757431ab3fd91f4276d350186cf6f9b7e4", "title": "Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1892/5ac92f9c8f6e82e0cc7a843234c6c494c4cc.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "acc37d228f6cb2205497df81532c582ed71dd9fe", "title": "Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01599.pdf"], "doi": []}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "330126c9dd71b3b0319d6429737186f1f20057a7", "title": "Deep Ordinal Regression Based on Data Relationship for Small Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3301/26c9dd71b3b0319d6429737186f1f20057a7.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}]} \ No newline at end of file +{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "citations": [{"id": "732e8d8f5717f8802426e1b9debc18a8361c1782", "title": "Unimodal Probability Distributions for Deep Ordinal Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/732e/8d8f5717f8802426e1b9debc18a8361c1782.pdf"], "doi": []}, {"id": "db24a2c27656db88486479b26f99d8754a44f4b8", "title": "Age estimation via face images : a survey", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db24/a2c27656db88486479b26f99d8754a44f4b8.pdf"], "doi": []}, {"id": "6a951a47aa545e08508b0b2c6a2bef45e154a3a9", "title": "DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02206.pdf"], "doi": []}, {"id": "0d3d290e93ac76d5ef2d6c8bbced79fb3101ad36", "title": "Conditional Adversarial Synthesis of 3D Facial Action Units.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07421.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "7942d0c6e5d1a2440061f2ea4bc27e32badb9c3d", "title": "Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores.", "year": "2017", "pdf": ["http://protocols.netlab.uky.edu/~rvkavu2/research/rdoc-rios-jbi-17.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28506904", "http://doi.org/10.1016/j.jbi.2017.05.008"]}, {"id": "fc2b5fa51a275af4c96029ca18789504f9f55393", "title": "Relationships Self-Learning Based Gender-Aware Age Estimation", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-09993-9"]}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373906", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00113", "http://doi.org/10.1109/FG.2018.00113"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "dd6bdc336a8cbcde80725922b637617b5abb26af", "title": "Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1467-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Weakly-Supervised_Deep_Convolutional_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578344", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00246", "http://doi.org/10.1109/CVPR.2018.00246"]}, {"id": "5da29e393a92632633095ddd5e1b343bc5b11876", "title": "Deep Ordinal Regression Network for Monocular Depth Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578312"]}, {"id": "677251fae7ccc62bb776374daee146cc2b7f0f4b", "title": "DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6772/51fae7ccc62bb776374daee146cc2b7f0f4b.pdf"], "doi": []}, {"id": "9427c56810d422bdff00adaec42f13ecbc0aa811", "title": "Recurrent convolutional network for video-based smoke detection", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5561-5"]}, {"id": "3540625bc996601a9d04c4027169b7fcad1b9eae", "title": "TECHNIQUES IN ORDINAL CLASSIFICATION AND IMAGE-TO-IMAGE TRANSLATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3540/625bc996601a9d04c4027169b7fcad1b9eae.pdf"], "doi": []}, {"id": "555222f2ad6dae447eef04f96fa40c1b8a397150", "title": "CaloriNet: From silhouettes to calorie estimation in private environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08152.pdf"], "doi": []}, {"id": "f9bce7bd7909f1c75dbeb44900d374bc89072df0", "title": "Weakly-Supervised Attention and Relation Learning for Facial Action Unit Detection", "year": "2018", "pdf": [], "doi": []}, {"id": "806c07757431ab3fd91f4276d350186cf6f9b7e4", "title": "Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1892/5ac92f9c8f6e82e0cc7a843234c6c494c4cc.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "acc37d228f6cb2205497df81532c582ed71dd9fe", "title": "Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01599.pdf"], "doi": []}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "330126c9dd71b3b0319d6429737186f1f20057a7", "title": "Deep Ordinal Regression Based on Data Relationship for Small Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3301/26c9dd71b3b0319d6429737186f1f20057a7.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/brainwash.json b/site/datasets/unknown/brainwash.json index e3e23bbd..1ecdb546 100644 --- a/site/datasets/unknown/brainwash.json +++ b/site/datasets/unknown/brainwash.json @@ -1 +1 @@ -{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "citations": [{"id": "38a61c40d6a8db8de6e8622e8fe72641db9aa9ed", "title": "Efficient disease detection in gastrointestinal videos \u2013 global features versus neural networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-4989-y"]}, {"id": "1042683cf5733244238198ff486d3a65e70c9621", "title": "End-to-End Instance Segmentation with Recurrent Attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.09410.pdf"], "doi": []}, {"id": "d922d49557a0a29c1186cea64f02511663455c82", "title": "Person Classification with Convolutional Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d922/d49557a0a29c1186cea64f02511663455c82.pdf"], "doi": []}, {"id": "574f05ab2f135fad33ccbde85debdd12bb41bc87", "title": "Proposal-Free Network for Instance-Level Object Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1509.02636.pdf"], "doi": []}, {"id": "2e7b716a0e5e79b1888a3ff19b701aed34965282", "title": "Unambiguous Text Localization and Retrieval for Cluttered Scenes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099832"]}, {"id": "705375260ffd0ed261fb6a85d57126f7537bef1d", "title": "A deep look into group happiness prediction from images", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997628"]}, {"id": "f03cbb8d0134b0f5d71c15c893e479f157e86365", "title": "Object tracking in video with TensorFlow", "year": "2016", "pdf": [], "doi": []}, {"id": "233525037d8d0e3dbb34ba961036e3d0478cd8bc", "title": "Semantic Object Parsing with Local-Global Long Short-Term Memory", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780716"]}, {"id": "40f2560357d19e3b862a685c05cd5b48f3cb3961", "title": "Interpretable Structure-Evolving LSTM", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099717"]}, {"id": "f94feceb5b725c6b303b758a0e5e90215b0174d3", "title": "Learning Non-maximum Suppression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02950.pdf"], "doi": []}, {"id": "176b1ca10b3e109d0e65a59ac8f29f1bfd60c80f", "title": "Feasibility of Neural Networks for Maritime Visual Detection on a Mobile Platform", "year": "2017", "pdf": [], "doi": []}, {"id": "33d076ad8ecba15c61d5ee8c3e2623d23f73d396", "title": "Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578479"]}, {"id": "1f8f0abfe4689aa93f2f6cc7ec4fd4c6adc2c2d6", "title": "Semantic Instance Segmentation with a Discriminative Loss Function", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02551.pdf"], "doi": []}, {"id": "db7eff018f4a57a8cd02fd394eedd44e6e399a21", "title": "SLBP: An Improved Texture Feature for Pedestrian Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120544"]}, {"id": "0cf8443bcb14cfd6ac5bcf0e3775c0aad45558b4", "title": "CRAFT Objects from Images", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781019"]}, {"id": "4e18b48f0e745a7df7c7ffb7a4df96ee07408d97", "title": "Computer Vision \u2013 ECCV 2016", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-319-46466-4"]}, {"id": "ad6313f284b081076c006d301124d12ba24272a3", "title": "Class-specific object proposals re-ranking for object detection in automatic driving", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.068"]}, {"id": "db39754bde43c5555d7086261d1a6fd55af7de06", "title": "Recurrent Filter Learning for Visual Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265445"]}, {"id": "26de18130a3d5d3324b3eea83007157eb1873911", "title": "Progressively Parsing Interactional Objects for Fine Grained Action Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780485"]}]} \ No newline at end of file +{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "citations": [{"id": "02caadae027f983261d93e40f4d9d1f785163db4", "title": "Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03891.pdf"], "doi": []}, {"id": "6f172b6635ad9e3d3e0ab65d931dcb354eb9ff73", "title": "Accurate Single Stage Detector Using Recurrent Rolling Convolution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099570"]}, {"id": "34786071f672b55fcdb24213a95f2ee52623ff23", "title": "MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.07695.pdf"], "doi": []}, {"id": "439f6206480b3ce069d75a95b1ffed9417117a17", "title": "Representations, Analysis and Recognition of Shape and Motion from Imaging Data", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-19816-9"]}, {"id": "95addf732b584f7a2959f143d860863df3d1f320", "title": "Deep Learning on Attributed Graphs", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/95ad/df732b584f7a2959f143d860863df3d1f320.pdf"], "doi": []}, {"id": "5d49632f8c8cd06cd5ce66f007aa140f40c12c45", "title": "Bus-Crowdedness Estimation by Shallow Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615907"]}, {"id": "b80a7bbde2986a0b3474258ec2fad0a75813d89f", "title": "Context Learning Network for Object Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8637445"]}, {"id": "84afbf356669f544f6c7e19fdb273edc93bf93ee", "title": "Scatteract: Automated Extraction of Data from Scatter Plots", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06687.pdf"], "doi": []}, {"id": "bcdb697c9d748f7655859256b0228a51b19b6fee", "title": "Parallel RCNN: A deep learning method for people detection using RGB-D images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302069"]}, {"id": "e586547a63400881c7a95d6ad6d5fa31ac237ca9", "title": "Variational Methods for Human Modeling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e586/547a63400881c7a95d6ad6d5fa31ac237ca9.pdf"], "doi": []}, {"id": "99c1bc2b09210d016a252ddae051ca7cf7fe0a56", "title": "Abnormality Extraction in Crowd", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/99c1/bc2b09210d016a252ddae051ca7cf7fe0a56.pdf"], "doi": []}, {"id": "d488dad9fa81817c85a284b09ebf198bf6b640f9", "title": "FCHD: A fast and accurate head detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08766.pdf"], "doi": []}, {"id": "b8c51b9ad3da310b590629b050152460abf7effb", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "f38a1edab9f0f0f36718778ac8d510fd25c41269", "title": "Adversarial Adaptation From Synthesis to Reality in Fast Detector for Smoke Detection", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8657935"]}, {"id": "6a0aaefce8a27a8727d896fa444ba27558b2d381", "title": "Relation Networks for Object Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578476"]}, {"id": "82b1ca78b2fc7ae0459f5d7c61a78822b8a590d2", "title": "Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658794"]}, {"id": "9043df1de4f6e181875011c1379d1a7f68a28d6c", "title": "People Detection from Overhead Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9043/df1de4f6e181875011c1379d1a7f68a28d6c.pdf"], "doi": []}, {"id": "a4ffdc6f0811b5adbf41d20433a44fc546197b75", "title": "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03480.pdf"], "doi": []}, {"id": "750bc0d2c9105a352001875127d796599a994886", "title": "Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8464244"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "03a65d274dc6caea94f6ab344e0b4969575327e3", "title": "CrowdHuman: A Benchmark for Detecting Human in a Crowd", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00123.pdf"], "doi": []}, {"id": "8935ffe454758e2e5def0b5190de6e28c350b3b8", "title": "Learning to Reconstruct Face Geometries Research", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea06/abd83c491877f0ce04cc7780ce068578f282.pdf"], "doi": []}, {"id": "993acefc2e350f9661125bb74df136e2b614ea23", "title": "People detection on the Pepper Robot using Convolutional Neural Networks and 3D Blob detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/993a/cefc2e350f9661125bb74df136e2b614ea23.pdf"], "doi": []}, {"id": "d78b190f98f9630cab261eabc399733af052f05c", "title": "Unsupervised Deep Domain Adaptation for Pedestrian Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1802.03269.pdf"], "doi": []}, {"id": "08e18921d7e405ad27956c75f2613230170997d5", "title": "Towards Variational Generation of Small Graphs", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a001/f2440fa49d1c137c9ca1b892857270096ef9.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/cuhk_train_station.json b/site/datasets/unknown/cuhk_train_station.json index acd19210..d5fb0cf7 100644 --- a/site/datasets/unknown/cuhk_train_station.json +++ b/site/datasets/unknown/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "citations": [{"id": "6655aebc1ba3e0fada0a05069e84548deee50e7e", "title": "Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques", "year": "2016", "pdf": ["http://home.isr.uc.pt/~jorge/wp-content/uploads/85.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/93.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/95.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.12.070", "https://www.wikidata.org/entity/Q57981030"]}, {"id": "8b2c9743de156189bf927a158f21e08412ff0de0", "title": "Convolutional DLSTM for Crowd Scene Understanding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241582", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.19", "http://doi.org/10.1109/ISM.2017.19"]}, {"id": "655b1f83ef218ee6a030b5541d2865bc6599e6d9", "title": "Analyzing Tracklets for the Detection of Abnormal Crowd Behavior", "year": "2015", "pdf": ["https://www.researchgate.net/profile/Hossein_Mousavi6/publication/278673112_Analyzing_Tracklets_for_the_Detection_of_Abnormal_Crowd_Behavior/links/558295f708ae6cf036c18d0f.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045881", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.27", "http://doi.org/10.1109/WACV.2015.27"]}, {"id": "a1b4c98907c0c08671e69ebaaca6315000d5099c", "title": "Evidential event inference in transport video surveillance", "year": "2016", "pdf": ["http://www.cs.qub.ac.uk/~W.Liu/CVIU16.pdf", "http://www.cs.qub.ac.uk/~W.Liu/CVIU2016.pdf", "https://pure.qub.ac.uk/portal/files/17941842/revision_CVIU_14_695.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.017"]}, {"id": "31bac8e29c25d19c11303440834e59ca8ae5a45c", "title": "Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Encoding_Crowd_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578651", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00553", "http://doi.org/10.1109/CVPR.2018.00553"]}, {"id": "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "title": "Measuring Flow Complexity in Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751246"]}, {"id": "5566f5c364a3e9322f814d67541de0271a6d1b59", "title": "Simulating Group Formations Using RVO", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5566/f5c364a3e9322f814d67541de0271a6d1b59.pdf"], "doi": []}, {"id": "01e214009e6c9dc7ee566fde4f089c5ddb739442", "title": "Learning and Inferring \u201cDark Matter\u201d and Predicting Human Intents and Trajectories in Videos", "year": "2018", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI_Dark_Matter.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984896", "http://doi.org/10.1109/TPAMI.2017.2728788", "https://www.ncbi.nlm.nih.gov/pubmed/28727549", "https://www.wikidata.org/entity/Q50432216"]}, {"id": "347573e0b27a01748f8a6781dd84bb312aea5c53", "title": "Multi-Target Adaptive On-line Tracking based on WIHM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3475/73e0b27a01748f8a6781dd84bb312aea5c53.pdf"], "doi": []}, {"id": "4fea55f4b75633edbbf7889592959fe74afed564", "title": "Anomaly detection in trajectories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496051"]}, {"id": "b94238a31edc961d78cc48292c58f8fc39dfa008", "title": "Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.11.049"]}, {"id": "72b619c805c2eb830c7a728f3c97af124807f7f5", "title": "Real-Time People Counting System for Customer Movement Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478241"]}, {"id": "1e122a4f97da88faa0472aa2b0aa994779e910ef", "title": "Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and Meta-Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227438"]}, {"id": "540cc9b479ed60065b1182a94c02b34c75d76823", "title": "Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909723"]}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "bb827b7e998f3f7ee944424ad783523025b41abd", "title": "Support Vector Motion Clustering", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490350"]}, {"id": "90aa877941f70307b57e07c954c0ff1fe4d4b678", "title": "Long-range trajectories from global and local motion representations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.08647.pdf"], "doi": []}, {"id": "aaaead632a12b372a91ce2ca5810d98234a82a39", "title": "Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410849"]}, {"id": "abc81655428a91d1977907c96cedc3539949eb72", "title": "A velocity field approach to the detection of pedestrian interactions", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6608936"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "6c4d15898e48a60a70969ef7f42d0b8aa3d0cb03", "title": "Predicting and recognizing human interactions in public spaces", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11554-014-0428-8"]}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "title": "The S-HOCK dataset: Analyzing crowds at the stadium", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298815", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298815", "http://doi.org/10.1109/CVPR.2015.7298815"]}, {"id": "ab02c78c9cc4ab80da45def34f0cf2c1b54fd8ed", "title": "Multi-agent path topology in support of socially competent navigation planning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4c8/feb9891e2199ad8abd845b5c97aebbfd5b76.pdf"], "doi": []}, {"id": "1fe2ed65bf8605e286ee04d51863e4a7cf8a167a", "title": "Category-Blind Human Action Recognition: A Practical Recognition System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410862"]}, {"id": "be7f24d4b3360ee96f691327951a22e79b7068d9", "title": "Modeling crowds as single-minded entities", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906029"]}, {"id": "a685a6d034e32f86cd97948ac27eadf98d127c7b", "title": "Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4719/6c67d3fd073876eed8d6a412b9c808e55193.pdf"], "doi": []}, {"id": "9fa796a11bbcc50fd20796701a123177cbd59ca5", "title": "Crowd Scene Analysis Using Deep Learning Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550851"]}, {"id": "8b86e6297fc9b4804fb2b78622ca1e7c8dc952c3", "title": "Scene-Independent Group Profiling in Crowd", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2014_scene.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shao_Scene-Independent_Group_Profiling_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~jshao/CUHKcrowd_files/ID860_present.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_in_crowd_cvpr14.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/shaoCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909682", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.285", "http://doi.org/10.1109/CVPR.2014.285"]}, {"id": "224ffad672f7e6c7995780eb9bd3c8a141cb25cd", "title": "Understanding pedestrian behaviors from stationary crowd groups", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yi_Understanding_Pedestrian_Behaviors_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298971", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298971", "http://doi.org/10.1109/CVPR.2015.7298971"]}, {"id": "938dc97889fe5b00eab73b5a7a40b707c0cfa681", "title": "Sparse Representation for Crowd Attributes Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934297"]}, {"id": "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "title": "Crowd Behavior Analysis: A Review where Physics meets Biology", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06586.pdf"], "doi": []}, {"id": "d5d5a5f565b007967583dc18fc60ff793518bd56", "title": "Measuring Crowd Collectiveness with Trajectory Smoothing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337520"]}, {"id": "7719db31b1555addab9dacfc7afe9f17cbabad8f", "title": "Learning from sequential data for anomaly detection", "year": "2014", "pdf": [], "doi": []}, {"id": "16d1e29b588fd26f5f0ac8038110f7b8500a1ec9", "title": "$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/crowd_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7463073", "http://doi.org/10.1109/TPAMI.2016.2560807", "https://www.ncbi.nlm.nih.gov/pubmed/28113539", "https://www.wikidata.org/entity/Q48000682"]}, {"id": "a8d525c513273b19dfb93ca969f664ba4baadebc", "title": "COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410729"]}, {"id": "4332314ac4ab56153f68a9e55e92b3659e93a5b4", "title": "Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents", "year": "2014", "pdf": ["http://people.csail.mit.edu/bzhou/project/cvpr2012/ijcv.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWijcv14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0735-3"]}, {"id": "c451df8fddcdb3ab95c0a8392c82c0799817f461", "title": "Video and image processing based techniques for people detection and counting in crowded environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c451/df8fddcdb3ab95c0a8392c82c0799817f461.pdf"], "doi": []}, {"id": "ca228b42de0f0311f4826292a2996d3348ca43fe", "title": "Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07827.pdf"], "doi": []}, {"id": "6b9a188848b7d482b308f6852860ca20124f0d1d", "title": "Emotion Estimation in Crowds: The Interplay of Motivations and Expectations in Individual Emotions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553370"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "1aded58a43338e651c00f2771d845b7a61b40190", "title": "Dynamic Trajectory Model for Analysis of Traffic States using DPMM", "year": "2018", "pdf": [], "doi": []}, {"id": "a959bb513ba066fe7852395c4cfe67d2d60a7493", "title": "Counting People Based on Linear, Weighted, and Local Random Forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227421"]}, {"id": "faf0fa6d706c088861288ad628f75ed09d924c85", "title": "Crowd Anomaly Detection Using Motion Based Spatio-Temporal Feature Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/faf0/fa6d706c088861288ad628f75ed09d924c85.pdf"], "doi": []}, {"id": "0ae07f24251946b2086fb992031c298ada2805de", "title": "Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09454.pdf"], "doi": []}, {"id": "6282e59f5b40464df3cd66a8e7002b4645d4bd25", "title": "UNDERSTANDING EVENTS IN VIDEO", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6282/e59f5b40464df3cd66a8e7002b4645d4bd25.pdf"], "doi": []}, {"id": "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "title": "Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8517154"]}, {"id": "0779875eff440365184dd8bf44e9f85f78267c5f", "title": "An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10398.pdf"], "doi": []}, {"id": "782bec7177abadf8b8fd31392edf2477caad8a15", "title": "Inferring \"Dark Matter\" and \"Dark Energy\" from Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751387"]}, {"id": "4b04b2d5195cffa31a522cfded0f9c8aa3da2f23", "title": "Estimating the Real Positions of Objects in Images by Using Evolutionary Algorithm", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878651"]}, {"id": "0e72248f06182700d743a5c4a8ebaea9237839a0", "title": "Modified balanced iterative reducing and clustering using hierarchies (m-BIRCH) for visual clustering", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-015-0472-4"]}, {"id": "f4f2d93b3de67f08365e4d84067694d27f6030fd", "title": "Towards Fully Data-Driven Tracking of Pedestrians and Vehicles in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4f2/d93b3de67f08365e4d84067694d27f6030fd.pdf"], "doi": []}, {"id": "a023f0e18bbe770d9480bd0c2c4915b8b21c8655", "title": "Crowd Simulation Model Integrating \"Physiology-Psychology-Physics\" Factors", "year": "2018", "pdf": [], "doi": []}, {"id": "07625af8d73142e239b5cdccb1dd226648e4b0d4", "title": "Learning Scene-Independent Group Descriptors for Crowd Understanding", "year": "2017", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/tcvst_2016_learning.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_tcsvt16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428859", "http://doi.org/10.1109/TCSVT.2016.2539878"]}, {"id": "88e1580e975ec0edab7327783f59665dc711ee7c", "title": "An evaluation of crowd counting methods, features and regression models", "year": "2015", "pdf": ["http://eprints.qut.edu.au/75845/4/75845.pdf", "http://www.dryan.id.au/An-evaluation-of-crowd-counting-methods-features-and-regression-models.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.07.008"]}, {"id": "94ead3662a08a3118b2958a5b4a168a4d034df53", "title": "Path patterns: analyzing and comparing real and simulated crowds", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2856410"]}, {"id": "75cf72819b8741777a961157f43d994238219f5e", "title": "Crowd Behavior Detection for Abnormal Conditions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/75cf/72819b8741777a961157f43d994238219f5e.pdf"], "doi": []}, {"id": "ff51b5c8503ffb397f2e27276fc32cd7801c8c9e", "title": "CubeP Crowds: crowd simulation integrated into \"Physiology-Psychology-Physics\" factors", "year": "2017", "pdf": [], "doi": []}, {"id": "aaa47aca53ccf00ad804b3f9702a1f647c5aca2b", "title": "Motion detection in video surviellance: A systematic survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398880"]}]} \ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "citations": [{"id": "6655aebc1ba3e0fada0a05069e84548deee50e7e", "title": "Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques", "year": "2016", "pdf": ["http://home.isr.uc.pt/~jorge/wp-content/uploads/85.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/93.pdf", "http://home.isr.uc.pt/~jorge/wp-content/uploads/95.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.12.070", "https://www.wikidata.org/entity/Q57981030"]}, {"id": "8b2c9743de156189bf927a158f21e08412ff0de0", "title": "Convolutional DLSTM for Crowd Scene Understanding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241582", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.19", "http://doi.org/10.1109/ISM.2017.19"]}, {"id": "655b1f83ef218ee6a030b5541d2865bc6599e6d9", "title": "Analyzing Tracklets for the Detection of Abnormal Crowd Behavior", "year": "2015", "pdf": ["https://www.researchgate.net/profile/Hossein_Mousavi6/publication/278673112_Analyzing_Tracklets_for_the_Detection_of_Abnormal_Crowd_Behavior/links/558295f708ae6cf036c18d0f.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045881", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.27", "http://doi.org/10.1109/WACV.2015.27"]}, {"id": "a1b4c98907c0c08671e69ebaaca6315000d5099c", "title": "Evidential event inference in transport video surveillance", "year": "2016", "pdf": ["http://www.cs.qub.ac.uk/~W.Liu/CVIU16.pdf", "http://www.cs.qub.ac.uk/~W.Liu/CVIU2016.pdf", "https://pure.qub.ac.uk/portal/files/17941842/revision_CVIU_14_695.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.017"]}, {"id": "31bac8e29c25d19c11303440834e59ca8ae5a45c", "title": "Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Encoding_Crowd_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578651", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00553", "http://doi.org/10.1109/CVPR.2018.00553"]}, {"id": "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "title": "Measuring Flow Complexity in Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751246"]}, {"id": "5566f5c364a3e9322f814d67541de0271a6d1b59", "title": "Simulating Group Formations Using RVO", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5566/f5c364a3e9322f814d67541de0271a6d1b59.pdf"], "doi": []}, {"id": "01e214009e6c9dc7ee566fde4f089c5ddb739442", "title": "Learning and Inferring \u201cDark Matter\u201d and Predicting Human Intents and Trajectories in Videos", "year": "2018", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI_Dark_Matter.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7984896", "http://doi.org/10.1109/TPAMI.2017.2728788", "https://www.ncbi.nlm.nih.gov/pubmed/28727549", "https://www.wikidata.org/entity/Q50432216"]}, {"id": "347573e0b27a01748f8a6781dd84bb312aea5c53", "title": "Multi-Target Adaptive On-line Tracking based on WIHM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3475/73e0b27a01748f8a6781dd84bb312aea5c53.pdf"], "doi": []}, {"id": "4fea55f4b75633edbbf7889592959fe74afed564", "title": "Anomaly detection in trajectories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496051"]}, {"id": "b94238a31edc961d78cc48292c58f8fc39dfa008", "title": "Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.11.049"]}, {"id": "72b619c805c2eb830c7a728f3c97af124807f7f5", "title": "Real-Time People Counting System for Customer Movement Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8478241"]}, {"id": "1e122a4f97da88faa0472aa2b0aa994779e910ef", "title": "Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and Meta-Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227438"]}, {"id": "540cc9b479ed60065b1182a94c02b34c75d76823", "title": "Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909723"]}, {"id": "bb827b7e998f3f7ee944424ad783523025b41abd", "title": "Support Vector Motion Clustering", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490350"]}, {"id": "90aa877941f70307b57e07c954c0ff1fe4d4b678", "title": "Long-range trajectories from global and local motion representations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.08647.pdf"], "doi": []}, {"id": "aaaead632a12b372a91ce2ca5810d98234a82a39", "title": "Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410849"]}, {"id": "abc81655428a91d1977907c96cedc3539949eb72", "title": "A velocity field approach to the detection of pedestrian interactions", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6608936"]}, {"id": "6c4d15898e48a60a70969ef7f42d0b8aa3d0cb03", "title": "Predicting and recognizing human interactions in public spaces", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11554-014-0428-8"]}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "83b7578e2d9fa60d33d9336be334f6f2cc4f218f", "title": "The S-HOCK dataset: Analyzing crowds at the stadium", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1B_101_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298815", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298815", "http://doi.org/10.1109/CVPR.2015.7298815"]}, {"id": "ab02c78c9cc4ab80da45def34f0cf2c1b54fd8ed", "title": "Multi-agent path topology in support of socially competent navigation planning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4c8/feb9891e2199ad8abd845b5c97aebbfd5b76.pdf"], "doi": []}, {"id": "1fe2ed65bf8605e286ee04d51863e4a7cf8a167a", "title": "Category-Blind Human Action Recognition: A Practical Recognition System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410862"]}, {"id": "be7f24d4b3360ee96f691327951a22e79b7068d9", "title": "Modeling crowds as single-minded entities", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906029"]}, {"id": "a685a6d034e32f86cd97948ac27eadf98d127c7b", "title": "Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4719/6c67d3fd073876eed8d6a412b9c808e55193.pdf"], "doi": []}, {"id": "9fa796a11bbcc50fd20796701a123177cbd59ca5", "title": "Crowd Scene Analysis Using Deep Learning Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550851"]}, {"id": "8b86e6297fc9b4804fb2b78622ca1e7c8dc952c3", "title": "Scene-Independent Group Profiling in Crowd", "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2014_scene.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shao_Scene-Independent_Group_Profiling_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~jshao/CUHKcrowd_files/ID860_present.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_in_crowd_cvpr14.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/shaoCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909682", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.285", "http://doi.org/10.1109/CVPR.2014.285"]}, {"id": "224ffad672f7e6c7995780eb9bd3c8a141cb25cd", "title": "Understanding pedestrian behaviors from stationary crowd groups", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_017_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yi_Understanding_Pedestrian_Behaviors_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298971", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298971", "http://doi.org/10.1109/CVPR.2015.7298971"]}, {"id": "938dc97889fe5b00eab73b5a7a40b707c0cfa681", "title": "Sparse Representation for Crowd Attributes Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934297"]}, {"id": "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "title": "Crowd Behavior Analysis: A Review where Physics meets Biology", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06586.pdf"], "doi": []}, {"id": "d5d5a5f565b007967583dc18fc60ff793518bd56", "title": "Measuring Crowd Collectiveness with Trajectory Smoothing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337520"]}, {"id": "7719db31b1555addab9dacfc7afe9f17cbabad8f", "title": "Learning from sequential data for anomaly detection", "year": "2014", "pdf": [], "doi": []}, {"id": "16d1e29b588fd26f5f0ac8038110f7b8500a1ec9", "title": "$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/crowd_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7463073", "http://doi.org/10.1109/TPAMI.2016.2560807", "https://www.ncbi.nlm.nih.gov/pubmed/28113539", "https://www.wikidata.org/entity/Q48000682"]}, {"id": "a8d525c513273b19dfb93ca969f664ba4baadebc", "title": "COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410729"]}, {"id": "4332314ac4ab56153f68a9e55e92b3659e93a5b4", "title": "Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents", "year": "2014", "pdf": ["http://people.csail.mit.edu/bzhou/project/cvpr2012/ijcv.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/zhouTWijcv14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0735-3"]}, {"id": "c451df8fddcdb3ab95c0a8392c82c0799817f461", "title": "Video and image processing based techniques for people detection and counting in crowded environments", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c451/df8fddcdb3ab95c0a8392c82c0799817f461.pdf"], "doi": []}, {"id": "ca228b42de0f0311f4826292a2996d3348ca43fe", "title": "Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07827.pdf"], "doi": []}, {"id": "6b9a188848b7d482b308f6852860ca20124f0d1d", "title": "Emotion Estimation in Crowds: The Interplay of Motivations and Expectations in Individual Emotions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553370"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "1aded58a43338e651c00f2771d845b7a61b40190", "title": "Dynamic Trajectory Model for Analysis of Traffic States using DPMM", "year": "2018", "pdf": [], "doi": []}, {"id": "a959bb513ba066fe7852395c4cfe67d2d60a7493", "title": "Counting People Based on Linear, Weighted, and Local Random Forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227421"]}, {"id": "faf0fa6d706c088861288ad628f75ed09d924c85", "title": "Crowd Anomaly Detection Using Motion Based Spatio-Temporal Feature Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/faf0/fa6d706c088861288ad628f75ed09d924c85.pdf"], "doi": []}, {"id": "0ae07f24251946b2086fb992031c298ada2805de", "title": "Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09454.pdf"], "doi": []}, {"id": "6282e59f5b40464df3cd66a8e7002b4645d4bd25", "title": "UNDERSTANDING EVENTS IN VIDEO", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6282/e59f5b40464df3cd66a8e7002b4645d4bd25.pdf"], "doi": []}, {"id": "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "title": "Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8517154"]}, {"id": "0779875eff440365184dd8bf44e9f85f78267c5f", "title": "An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10398.pdf"], "doi": []}, {"id": "782bec7177abadf8b8fd31392edf2477caad8a15", "title": "Inferring \"Dark Matter\" and \"Dark Energy\" from Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751387"]}, {"id": "4b04b2d5195cffa31a522cfded0f9c8aa3da2f23", "title": "Estimating the Real Positions of Objects in Images by Using Evolutionary Algorithm", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878651"]}, {"id": "0e72248f06182700d743a5c4a8ebaea9237839a0", "title": "Modified balanced iterative reducing and clustering using hierarchies (m-BIRCH) for visual clustering", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-015-0472-4"]}, {"id": "f4f2d93b3de67f08365e4d84067694d27f6030fd", "title": "Towards Fully Data-Driven Tracking of Pedestrians and Vehicles in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4f2/d93b3de67f08365e4d84067694d27f6030fd.pdf"], "doi": []}, {"id": "a023f0e18bbe770d9480bd0c2c4915b8b21c8655", "title": "Crowd Simulation Model Integrating \"Physiology-Psychology-Physics\" Factors", "year": "2018", "pdf": [], "doi": []}, {"id": "07625af8d73142e239b5cdccb1dd226648e4b0d4", "title": "Learning Scene-Independent Group Descriptors for Crowd Understanding", "year": "2017", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/tcvst_2016_learning.pdf", "http://www.ee.cuhk.edu.hk/~jshao/papers_jshao/jshao_group_tcsvt16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428859", "http://doi.org/10.1109/TCSVT.2016.2539878"]}, {"id": "88e1580e975ec0edab7327783f59665dc711ee7c", "title": "An evaluation of crowd counting methods, features and regression models", "year": "2015", "pdf": ["http://eprints.qut.edu.au/75845/4/75845.pdf", "http://www.dryan.id.au/An-evaluation-of-crowd-counting-methods-features-and-regression-models.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.07.008"]}, {"id": "94ead3662a08a3118b2958a5b4a168a4d034df53", "title": "Path patterns: analyzing and comparing real and simulated crowds", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2856410"]}, {"id": "75cf72819b8741777a961157f43d994238219f5e", "title": "Crowd Behavior Detection for Abnormal Conditions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/75cf/72819b8741777a961157f43d994238219f5e.pdf"], "doi": []}, {"id": "ff51b5c8503ffb397f2e27276fc32cd7801c8c9e", "title": "CubeP Crowds: crowd simulation integrated into \"Physiology-Psychology-Physics\" factors", "year": "2017", "pdf": [], "doi": []}, {"id": "aaa47aca53ccf00ad804b3f9702a1f647c5aca2b", "title": "Motion detection in video surviellance: A systematic survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8398880"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/duke_mtmc.json b/site/datasets/unknown/duke_mtmc.json index 8ff1fd47..f4e9dbde 100644 --- a/site/datasets/unknown/duke_mtmc.json +++ b/site/datasets/unknown/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "citations": [{"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "6438a73bade949bd2858ec0e25de52b59be1fdb9", "title": "Re-identification for Online Person Tracking by Modeling Space-Time Continuum", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Narayan_Re-Identification_for_Online_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00193", "http://doi.org/10.1109/CVPRW.2018.00193"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "be501779ba57eb1ecc1d9ec96b59e7bdd365f2f3", "title": "Person Re-Identification Based on Attribute Heterogeneity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8588946"]}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "386ce3ac3d2db91290c8c2fa984a5e76dd364169", "title": "Person Re-Identification by Multi-Camera Networks for Internet of Things in Smart Cities", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8548589"]}, {"id": "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "title": "Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold", "year": "2018", "pdf": ["https://www.cs.rochester.edu/~cxu22/p/wacv2018_tpsearch_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354312", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00208", "http://doi.org/10.1109/WACV.2018.00208"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "dd749916f9705a55881f77f4211f1b0051e4885f", "title": "Attribute-based Person Retrieval and Search in Video Sequences", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639114"]}, {"id": "69835bdd4da26fccd54f4a8d351f71fd1ba63a92", "title": "Bag of local features for person re-identification on large-scale datasets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6983/5bdd4da26fccd54f4a8d351f71fd1ba63a92.pdf"], "doi": []}, {"id": "bccadacb4689e060711d95082ab9d0ed4e0c4e74", "title": "Cluster Loss for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10325.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "9c889616034adce2af05d74eac44cf43a8106468", "title": "Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.09240.pdf"], "doi": []}, {"id": "d0256c9431a18694c33bf0c6a8e0c48ff0614d28", "title": "Simple Real-Time Multi-face Tracking Based on Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575772"]}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "546b3592f59b3445ef12fba506b729c832198c33", "title": "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099502"]}, {"id": "34a6762ed8e92612ba4fdf02ee95d2ee0d587908", "title": "Incremental Learning in Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06281.pdf"], "doi": []}, {"id": "74bfaacd4e86a1304d2b5e7340591cffb38d84dd", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "26ac3ee756d4a24ec31de918f54098012e17fd25", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "10c20cf47d61063032dce4af73a4b8e350bf1128", "title": "Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09531.pdf"], "doi": []}, {"id": "2aa0a7d65fb66435308e09ea2bc7fb09b2d484fc", "title": "Multiscale Path Metrics for the Analysis of Discrete Geometric Structures", "year": "2017", "pdf": [], "doi": []}, {"id": "e799c5c7e169f471950eb76dbb329c2d031347ae", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "87ded449946c40402ea6188f53bcc648260dcadf", "title": "Contingency Workload Demand Forecast Techniques for Cargo and Flying Hours", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87de/d449946c40402ea6188f53bcc648260dcadf.pdf"], "doi": []}, {"id": "bb6247b21a398314e8557355f6554c2207bf7414", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.278"]}, {"id": "fbb6712d0f0ac1d927331f8ae75a1a061b606edf", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1109/cvpr.2018.00016"]}, {"id": "15a8f978e54049fe5727bbc0a6098bc6abbab4e2", "title": "Avion 1974-12-09", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a8/f978e54049fe5727bbc0a6098bc6abbab4e2.pdf"], "doi": []}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "501d99e392783e4acafb220136d32ea68a921282", "title": "Densely Connected Convolutional Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099726"]}, {"id": "4954fa180728932959997a4768411ff9136aac81", "title": "TensorFlow: A System for Large-Scale Machine Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08695.pdf"], "doi": []}, {"id": "5f12ca6b863b5bc28f58443ba2b70a102af965bd", "title": "Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.09776.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "3842ee1e0fdfeff936b5c49973ff21adfaaf3929", "title": "Adversarial Discriminative Domain Adaptation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099799"]}, {"id": "05f9d47bcc438ffcd4efcc5d77792a7b1984342a", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "9da0478671136577fb76bbc6679ab45cd038fe63", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578340"]}, {"id": "65da5a05fa6b49e8aa11b4acce965a0f439c1716", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "1be42f20ff086a04092b4be73e105a318ffa4322", "title": "Harmonious Attention Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578341"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "11cb49d8f19f0491e1930d9471988a3c07b70bb4", "title": "Person Re-Identification With Triplet Focal Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558553"]}, {"id": "59161bd01e739ad69a93f88303fa2b6e21f6ea98", "title": "Discrimination-Aware Integration for Person Re-Identification in Camera Networks", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8660430"]}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "abc8638968909ab0fdfbf1049009082df554a49e", "title": "Large-scale vehicle re-identification in urban surveillance videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553002", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553002", "http://doi.org/10.1109/ICME.2016.7553002"]}, {"id": "b5a9f87daed5b3a4b0d0381dc2b2480766a581a3", "title": "Deep Group-Shuffling Random Walk for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578339"]}, {"id": "c27ecf5b8943a643584424fab38a902f344165e0", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578937"]}, {"id": "123478b496a3fa39a9043ccaa660e81c473a14e9", "title": "A Bottom-Up Clustering Approach to Unsupervised Person Re-identification", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1234/78b496a3fa39a9043ccaa660e81c473a14e9.pdf"], "doi": []}, {"id": "b83964876faa536489b4c189fdeb1f9d50172862", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "2226853b9dae012fdb5c1f493bb360025d5c97f8", "title": "Multi-Scale Body-Part Mask Guided Attention for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11041.pdf"], "doi": []}, {"id": "a83d21e9bf4984ce2ed6842865e1bc0cd13aaa96", "title": "EANet: Enhancing Alignment for Cross-Domain Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11369.pdf"], "doi": []}, {"id": "afc01c33b7dd9de9e5c84c063aaccc4e0c839e74", "title": "Re-Identification with Consistent Attentive Siamese Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "960cdda2dcd299ecdf64e867a7538e24ee4e2a99", "title": "Learning deep embedding with mini-cluster loss for person re-identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7446-2"]}, {"id": "03df42c643872aa664a7d6a8f5dbb12cbc3d09f3", "title": "An End-to-End Noise-Weakened Person Re-Identification and Tracking With Adaptive Partial Information", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641312"]}, {"id": "665b263ce030bcb3356fcd6e45b219c9184d09e1", "title": "Random linear interpolation data augmentation for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-7071-5"]}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "05c4eace439fcc011aaa70c8c00c7386a0cf479e", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/05c4/eace439fcc011aaa70c8c00c7386a0cf479e.pdf"], "doi": []}, {"id": "753d2a35c9edf5dfcac4ef3a6adc993b657b01f0", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "66e4f5e354240a022789353798ce92e4ab68e109", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "3c89455d9a91560eb08e59237dbc4f9fac16ff09", "title": "Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04975.pdf"], "doi": []}, {"id": "dad39f0e10285242ae7c825146c552a4844c741a", "title": "Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567879"]}, {"id": "aaca2ebcd26ed668788f364dd7af8b4615492b66", "title": "Omnidirectional Feature Learning for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653287"]}, {"id": "8fbb73bc6fb74e119b5fdf02482fa90afb7e443e", "title": "Parts Semantic Segmentation Aware Representation Learning for Person Re-Identification", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8fbb/73bc6fb74e119b5fdf02482fa90afb7e443e.pdf"], "doi": []}, {"id": "57c144f668d11ef7e2c89fdfcf67341a4733dd64", "title": "Unlabeled images Auxiliary reference person images Backbone ResNet \u2010 50 Reference learning", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/57c1/44f668d11ef7e2c89fdfcf67341a4733dd64.pdf"], "doi": []}, {"id": "65510920d60f23faae27e073c11e4f037c538067", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}, {"id": "48b4b0bbbfee08604b68bb0246b295e357444ed1", "title": "Joint Discriminative and Generative Learning for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.07223.pdf"], "doi": []}, {"id": "7c25f32e78d0a9ae75825445daf51b064c3f58e9", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578144"]}, {"id": "b9cc54c5f94371cfc8e79179c20ec559a1a43cbb", "title": "Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01990.pdf"], "doi": []}, {"id": "57e736120e3c5d3dce58616ea8433586c43eaeea", "title": "OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961798"]}, {"id": "5e2a6613456c3dba3d857c95f6cb12d8471edeab", "title": "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237854"]}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "b350b567b13ab2b7ba94159767a41917fc38a2cb", "title": "Bag of Tricks and A Strong Baseline for Deep Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07071.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "4c903009e7b963f1cd4f02482ea4b242d71e8058", "title": "Camera Adversarial Transfer for Unsupervised Person Re-Identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01308.pdf"], "doi": []}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "a5418a2fc6713e39a95237eadc004e1e02401ae7", "title": "Sparse Label Smoothing Regularization for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651511"]}, {"id": "19650d66be1bf350fe784467da3ff7074c94c940", "title": "Person re-identification in images with deep learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1965/0d66be1bf350fe784467da3ff7074c94c940.pdf"], "doi": []}, {"id": "5bab0828e5dfbc13d2c2e3f0532edbb002995e64", "title": "Vehicle Re-identification with the Space-Time Prior", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575404"]}]} \ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "citations": [{"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "834ff8e06ed3f01c10958a276f1526fce7ffd387", "title": "Automatic Adaptation of Person Association for Multiview Tracking in Group Activities", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08717.pdf"], "doi": []}, {"id": "6438a73bade949bd2858ec0e25de52b59be1fdb9", "title": "Re-identification for Online Person Tracking by Modeling Space-Time Continuum", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Narayan_Re-Identification_for_Online_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00193", "http://doi.org/10.1109/CVPRW.2018.00193"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "fde900199b2aa6d8a5364342885bdb2f5f7073c2", "title": "Deep Structured Prediction: A New Formulation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396970", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00014", "http://doi.org/10.1109/MIPR.2018.00014"]}, {"id": "3849c22a21e475d7ecba0afd80b9129eb006a72e", "title": "Video Person Re-identification with Competitive Snippet-Similarity Aggregation and Co-attentive Snippet Embedding", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Video_Person_Re-Identification_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578226", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00128", "http://doi.org/10.1109/CVPR.2018.00128"]}, {"id": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "pdf": [], "doi": []}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "d2b86b6dc93631990e21a12278e77f002fb4b116", "title": "Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b8/6b6dc93631990e21a12278e77f002fb4b116.pdf"], "doi": []}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "be501779ba57eb1ecc1d9ec96b59e7bdd365f2f3", "title": "Person Re-Identification Based on Attribute Heterogeneity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8588946"]}, {"id": "4e5c09ace0cbb3a442bb4e32a22fba23c12ac063", "title": "Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240717"]}, {"id": "386ce3ac3d2db91290c8c2fa984a5e76dd364169", "title": "Person Re-Identification by Multi-Camera Networks for Internet of Things in Smart Cities", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8548589"]}, {"id": "f18fe123e9017f3a9ac7cd140560a30b5a9b82c2", "title": "Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold", "year": "2018", "pdf": ["https://www.cs.rochester.edu/~cxu22/p/wacv2018_tpsearch_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354312", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00208", "http://doi.org/10.1109/WACV.2018.00208"]}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.pdf"], "doi": []}, {"id": "dd749916f9705a55881f77f4211f1b0051e4885f", "title": "Attribute-based Person Retrieval and Search in Video Sequences", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639114"]}, {"id": "69835bdd4da26fccd54f4a8d351f71fd1ba63a92", "title": "Bag of local features for person re-identification on large-scale datasets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6983/5bdd4da26fccd54f4a8d351f71fd1ba63a92.pdf"], "doi": []}, {"id": "bccadacb4689e060711d95082ab9d0ed4e0c4e74", "title": "Cluster Loss for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10325.pdf"], "doi": []}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468189", "http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "9c889616034adce2af05d74eac44cf43a8106468", "title": "Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.09240.pdf"], "doi": []}, {"id": "d0256c9431a18694c33bf0c6a8e0c48ff0614d28", "title": "Simple Real-Time Multi-face Tracking Based on Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575772"]}, {"id": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}, {"id": "546b3592f59b3445ef12fba506b729c832198c33", "title": "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099502"]}, {"id": "34a6762ed8e92612ba4fdf02ee95d2ee0d587908", "title": "Incremental Learning in Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06281.pdf"], "doi": []}, {"id": "26ac3ee756d4a24ec31de918f54098012e17fd25", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "10c20cf47d61063032dce4af73a4b8e350bf1128", "title": "Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09531.pdf"], "doi": []}, {"id": "2aa0a7d65fb66435308e09ea2bc7fb09b2d484fc", "title": "Multiscale Path Metrics for the Analysis of Discrete Geometric Structures", "year": "2017", "pdf": [], "doi": []}, {"id": "e799c5c7e169f471950eb76dbb329c2d031347ae", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "87ded449946c40402ea6188f53bcc648260dcadf", "title": "Contingency Workload Demand Forecast Techniques for Cargo and Flying Hours", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87de/d449946c40402ea6188f53bcc648260dcadf.pdf"], "doi": []}, {"id": "bb6247b21a398314e8557355f6554c2207bf7414", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.278"]}, {"id": "fbb6712d0f0ac1d927331f8ae75a1a061b606edf", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1109/cvpr.2018.00016"]}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "501d99e392783e4acafb220136d32ea68a921282", "title": "Densely Connected Convolutional Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099726"]}, {"id": "4954fa180728932959997a4768411ff9136aac81", "title": "TensorFlow: A System for Large-Scale Machine Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08695.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "3842ee1e0fdfeff936b5c49973ff21adfaaf3929", "title": "Adversarial Discriminative Domain Adaptation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099799"]}, {"id": "9da0478671136577fb76bbc6679ab45cd038fe63", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578340"]}, {"id": "65da5a05fa6b49e8aa11b4acce965a0f439c1716", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "1be42f20ff086a04092b4be73e105a318ffa4322", "title": "Harmonious Attention Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578341"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "11cb49d8f19f0491e1930d9471988a3c07b70bb4", "title": "Person Re-Identification With Triplet Focal Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558553"]}, {"id": "59161bd01e739ad69a93f88303fa2b6e21f6ea98", "title": "Discrimination-Aware Integration for Person Re-Identification in Camera Networks", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8660430"]}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "abc8638968909ab0fdfbf1049009082df554a49e", "title": "Large-scale vehicle re-identification in urban surveillance videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7553002", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7553002", "http://doi.org/10.1109/ICME.2016.7553002"]}, {"id": "b5a9f87daed5b3a4b0d0381dc2b2480766a581a3", "title": "Deep Group-Shuffling Random Walk for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578339"]}, {"id": "c27ecf5b8943a643584424fab38a902f344165e0", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578937"]}, {"id": "b83964876faa536489b4c189fdeb1f9d50172862", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "2226853b9dae012fdb5c1f493bb360025d5c97f8", "title": "Multi-Scale Body-Part Mask Guided Attention for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11041.pdf"], "doi": []}, {"id": "a83d21e9bf4984ce2ed6842865e1bc0cd13aaa96", "title": "EANet: Enhancing Alignment for Cross-Domain Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11369.pdf"], "doi": []}, {"id": "960cdda2dcd299ecdf64e867a7538e24ee4e2a99", "title": "Learning deep embedding with mini-cluster loss for person re-identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7446-2"]}, {"id": "03df42c643872aa664a7d6a8f5dbb12cbc3d09f3", "title": "An End-to-End Noise-Weakened Person Re-Identification and Tracking With Adaptive Partial Information", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641312"]}, {"id": "665b263ce030bcb3356fcd6e45b219c9184d09e1", "title": "Random linear interpolation data augmentation for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-7071-5"]}, {"id": "17092ce59ed56eb5fcbf467a889c7ec3e930f4c2", "title": "Mask-Guided Contrastive Attention Model for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578227"]}, {"id": "05c4eace439fcc011aaa70c8c00c7386a0cf479e", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/05c4/eace439fcc011aaa70c8c00c7386a0cf479e.pdf"], "doi": []}, {"id": "753d2a35c9edf5dfcac4ef3a6adc993b657b01f0", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "66e4f5e354240a022789353798ce92e4ab68e109", "title": "Pose-Normalized Image Generation for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "3c89455d9a91560eb08e59237dbc4f9fac16ff09", "title": "Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04975.pdf"], "doi": []}, {"id": "dad39f0e10285242ae7c825146c552a4844c741a", "title": "Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567879"]}, {"id": "aaca2ebcd26ed668788f364dd7af8b4615492b66", "title": "Omnidirectional Feature Learning for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653287"]}, {"id": "48b4b0bbbfee08604b68bb0246b295e357444ed1", "title": "Joint Discriminative and Generative Learning for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.07223.pdf"], "doi": []}, {"id": "7c25f32e78d0a9ae75825445daf51b064c3f58e9", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578144"]}, {"id": "57e736120e3c5d3dce58616ea8433586c43eaeea", "title": "OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961798"]}, {"id": "5e2a6613456c3dba3d857c95f6cb12d8471edeab", "title": "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237854"]}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "a0cc5f73a37723a6dd465924143f1cb4976d0169", "title": "Person Transfer GAN to Bridge Domain Gap for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578114"]}, {"id": "a5418a2fc6713e39a95237eadc004e1e02401ae7", "title": "Sparse Label Smoothing Regularization for Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651511"]}, {"id": "19650d66be1bf350fe784467da3ff7074c94c940", "title": "Person re-identification in images with deep learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1965/0d66be1bf350fe784467da3ff7074c94c940.pdf"], "doi": []}, {"id": "5bab0828e5dfbc13d2c2e3f0532edbb002995e64", "title": "Vehicle Re-identification with the Space-Time Prior", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575404"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/helen.json b/site/datasets/unknown/helen.json index ee88c695..5a4ae0a6 100644 --- a/site/datasets/unknown/helen.json +++ b/site/datasets/unknown/helen.json @@ -1 +1 @@ -{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "citations": [{"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "1d49ee6afb82b5fbacf69628f52e76dc33341643", "title": "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578362"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "4f742c09ce12859b20deaa372c8f1575acfc99c9", "title": "How do you smile? Towards a comprehensive smile analysis system", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.01.020"]}, {"id": "8a336e9a4c42384d4c505c53fb8628a040f2468e", "title": "Detecting Visually Observable Disease Symptoms from Faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8a33/6e9a4c42384d4c505c53fb8628a040f2468e.pdf"], "doi": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "title": "Facelet-Bank for Fast Portrait Manipulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578471"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "ca83053d9a790319b11a04eac5ab412e7fcab914", "title": "Efficient generic face model fitting to images and videos", "year": "2014", "pdf": ["http://gec.di.uminho.pt/psantos/Publications_ficheiros/IMAVIS2014-FaceRecognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.006", "https://www.wikidata.org/entity/Q50810415"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "45429c281e30f9e87ebcd1ae42e0656d2ead24d1", "title": "High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579015"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619291", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.447", "http://doi.org/10.1109/CVPR.2013.447"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "c41a3c31972cf0c1be6b6895f3bf97181773fcfb", "title": "Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976813", "http://doi.org/10.1109/ICPR.2014.103"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "36219a3196aac2bd149bc786f083957a6e6da125", "title": "Recognition of the gaze direction: Anchoring with the eyebrows", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.12.003"]}, {"id": "76dff7008d9b8bf44ec5348f294d5518877c6182", "title": "Discrete area filters in accurate detection of faces and facial features", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.09.004"]}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "cbaf7bef33ef0506e507a8910fe5b756e9b20e76", "title": "Robust facial landmark extraction scheme using multiple convolutional neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6482-7"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "8fa15d1f161097109eb3dcd629ee8fc423557230", "title": "The iBUG Eye Segmentation Dataset", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8fa1/5d1f161097109eb3dcd629ee8fc423557230.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "title": "Residual Encoder Decoder Network and Adaptive Prior for Face Parsing", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16468", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16468/16271"]}, {"id": "9a37f9914c95e64bc0b85e6efa15003fd8852ae8", "title": "Face alignment recurrent network", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2017.09.028"]}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"id": "be69b703f91ab5ff962cd2b7e120eac8e1d3ca3b", "title": "The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014890"]}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "0580edbd7865414c62a36da9504d1169dea78d6f", "title": "Baseline CNN structure analysis for facial expression recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04251.pdf"], "doi": []}, {"id": "060231e8f450eb7c212814f67bca97a1c310e8a2", "title": "Efficient Face Image Deblurring via Robust Face Salient Landmark Detection", "year": "2015", "pdf": ["http://www.springer.com/cda/content/document/cda_downloaddocument/9783319240749-c2.pdf?SGWID=0-0-45-1544751-p177697434"], "doi": ["https://doi.org/10.1007/978-3-319-24075-6_2"]}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "52275c69a7e414d2b46664ae5f953f544badf8ae", "title": "Two-Staged Algorithm for Eyebrows Segmentation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337413"]}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "056892b7e573608e64c3c9130e8ce33353a94de2", "title": "Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03328.pdf"], "doi": []}, {"id": "36900a5d2823399379da09978c811b4904f1b7ed", "title": "Accurate Facial Image Parsing at Real-Time Speed.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30969921", "https://doi.org/10.1109/TIP.2019.2909652"]}, {"id": "4f051022de100241e5a4ba8a7514db9167eabf6e", "title": "Face Parsing via a Fully-Convolutional Continuous CRF Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03736.pdf"], "doi": []}, {"id": "94eb1a33bbe1a1a04167e9cab2a3329037c69133", "title": "Robust Arm and Hand Tracking by Unsupervised Context Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/94eb/1a33bbe1a1a04167e9cab2a3329037c69133.pdf"], "doi": []}, {"id": "6c409591546a36ed2626f0a459f39c06dfef5c39", "title": "Multiresolution terrain modeling using level curve information", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1016/j.cam.2012.08.003"]}, {"id": "424ed067137aa268ce434cf3c3fa557c4a3c5eeb", "title": "Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1806.07884.pdf"], "doi": []}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "87fe7ad85d87436a1c990438863d43e0ad2fa6ca", "title": "Blinking to a New Era of Environmental Interaction Project-Bitrac", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/87fe/7ad85d87436a1c990438863d43e0ad2fa6ca.pdf"], "doi": []}, {"id": "da0142ec5264942315bd487d3ffb35096bde81ad", "title": "A high-fidelity multiresolution digital elevation model for Earth systems", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/da01/42ec5264942315bd487d3ffb35096bde81ad.pdf"], "doi": []}, {"id": "19d2b7008857413680af1dd4259865d7e538cb1b", "title": "Robust real-time hands-and-face detection for human robot interaction", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/19d2/b7008857413680af1dd4259865d7e538cb1b.pdf"], "doi": []}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "year": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045883", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.29", "http://doi.org/10.1109/WACV.2015.29"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "year": "2017", "pdf": ["https://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"], "doi": ["http://doi.org/10.1186/s40535-017-0042-5"]}, {"id": "73ba2fcbbdb59df6bf3f8f0c1adb7b94098bfc6a", "title": "Weakly-supervised Caricature Face Parsing through Domain Adaptation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.05091.pdf"], "doi": []}, {"id": "c8a4201641a541babfefe66851a1d06b0d3b3a5b", "title": "Hierarchical Attention for Part-Aware Face Detection", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01157-5"]}, {"id": "9201bf6f8222c2335913002e13fbac640fc0f4ec", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "3b7d120c0e801ef318bc9c607a0789f175637c7f", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812"]}, {"id": "5c0acc0d4339cdc71ac78dd36a589c8370cb6695", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "3299da544240513e823fcf0b07132d2d82679892", "title": "A multi-task approach to face deblurring", "year": "2019", "pdf": ["https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1350-3"], "doi": ["https://doi.org/10.1186/s13638-019-1350-3"]}, {"id": "cb5cfdb36c338539287ff33a7f12ca2335f177a2", "title": "Supplementary Material : Learning Affinity via Spatial Propagation Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cb5c/fdb36c338539287ff33a7f12ca2335f177a2.pdf"], "doi": []}, {"id": "6608c48bcff47abc5234619dd9b071276490bc73", "title": "Gray-Edge-HOG feature based cascaded learning for facial landmark detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6608/c48bcff47abc5234619dd9b071276490bc73.pdf"], "doi": []}, {"id": "7003ec726b735733897edc3b8646d528ac2a48f0", "title": "Face Parsing for Mobile AR Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8699189"]}, {"id": "c299a9d7930a5c307a7cff9e4ca83a55fa4a14f6", "title": "Geometric Deep Learning and Heatmap Prediction for Large Deformation Registration of Abdominal and Thoracic CT In", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/c299/a9d7930a5c307a7cff9e4ca83a55fa4a14f6.pdf"], "doi": []}, {"id": "d8514f3edb1514b6226d9325162c234f01ae3450", "title": "A high-fidelity multiresolution DEM model for Earth systems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3140/f7a2e3d63a8f6f7244f1b244e186848bbbe7.pdf"], "doi": []}, {"id": "1da138e91cb05ed03ef7719ee0415e38400b4bbe", "title": "Some Pieces Are Missing: Implicature Production in Children", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1da1/38e91cb05ed03ef7719ee0415e38400b4bbe.pdf"], "doi": []}]} \ No newline at end of file +{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "citations": [{"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "1d49ee6afb82b5fbacf69628f52e76dc33341643", "title": "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578362"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "4f742c09ce12859b20deaa372c8f1575acfc99c9", "title": "How do you smile? Towards a comprehensive smile analysis system", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.01.020"]}, {"id": "8a336e9a4c42384d4c505c53fb8628a040f2468e", "title": "Detecting Visually Observable Disease Symptoms from Faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8a33/6e9a4c42384d4c505c53fb8628a040f2468e.pdf"], "doi": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "title": "Facelet-Bank for Fast Portrait Manipulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578471"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "ca83053d9a790319b11a04eac5ab412e7fcab914", "title": "Efficient generic face model fitting to images and videos", "year": "2014", "pdf": ["http://gec.di.uminho.pt/psantos/Publications_ficheiros/IMAVIS2014-FaceRecognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.006", "https://www.wikidata.org/entity/Q50810415"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "45429c281e30f9e87ebcd1ae42e0656d2ead24d1", "title": "High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579015"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619291", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.447", "http://doi.org/10.1109/CVPR.2013.447"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "c41a3c31972cf0c1be6b6895f3bf97181773fcfb", "title": "Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976813", "http://doi.org/10.1109/ICPR.2014.103"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "36219a3196aac2bd149bc786f083957a6e6da125", "title": "Recognition of the gaze direction: Anchoring with the eyebrows", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.12.003"]}, {"id": "76dff7008d9b8bf44ec5348f294d5518877c6182", "title": "Discrete area filters in accurate detection of faces and facial features", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.09.004"]}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "cbaf7bef33ef0506e507a8910fe5b756e9b20e76", "title": "Robust facial landmark extraction scheme using multiple convolutional neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6482-7"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "title": "Residual Encoder Decoder Network and Adaptive Prior for Face Parsing", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16468", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16468/16271"]}, {"id": "9a37f9914c95e64bc0b85e6efa15003fd8852ae8", "title": "Face alignment recurrent network", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2017.09.028"]}, {"id": "9871aa511ca7e3c61c083c327063442bc2c411bf", "title": "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2017.244"]}, {"id": "be69b703f91ab5ff962cd2b7e120eac8e1d3ca3b", "title": "The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014890"]}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "0580edbd7865414c62a36da9504d1169dea78d6f", "title": "Baseline CNN structure analysis for facial expression recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04251.pdf"], "doi": []}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "52275c69a7e414d2b46664ae5f953f544badf8ae", "title": "Two-Staged Algorithm for Eyebrows Segmentation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337413"]}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "056892b7e573608e64c3c9130e8ce33353a94de2", "title": "Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03328.pdf"], "doi": []}, {"id": "36900a5d2823399379da09978c811b4904f1b7ed", "title": "Accurate Facial Image Parsing at Real-Time Speed.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30969921", "https://doi.org/10.1109/TIP.2019.2909652"]}, {"id": "4f051022de100241e5a4ba8a7514db9167eabf6e", "title": "Face Parsing via a Fully-Convolutional Continuous CRF Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03736.pdf"], "doi": []}, {"id": "6c409591546a36ed2626f0a459f39c06dfef5c39", "title": "Multiresolution terrain modeling using level curve information", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1016/j.cam.2012.08.003"]}, {"id": "424ed067137aa268ce434cf3c3fa557c4a3c5eeb", "title": "Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1806.07884.pdf"], "doi": []}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "87fe7ad85d87436a1c990438863d43e0ad2fa6ca", "title": "Blinking to a New Era of Environmental Interaction Project-Bitrac", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/87fe/7ad85d87436a1c990438863d43e0ad2fa6ca.pdf"], "doi": []}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "year": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045883", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.29", "http://doi.org/10.1109/WACV.2015.29"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "year": "2017", "pdf": ["https://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"], "doi": ["http://doi.org/10.1186/s40535-017-0042-5"]}, {"id": "c8a4201641a541babfefe66851a1d06b0d3b3a5b", "title": "Hierarchical Attention for Part-Aware Face Detection", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01157-5"]}, {"id": "9201bf6f8222c2335913002e13fbac640fc0f4ec", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "3b7d120c0e801ef318bc9c607a0789f175637c7f", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812"]}, {"id": "5c0acc0d4339cdc71ac78dd36a589c8370cb6695", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "3299da544240513e823fcf0b07132d2d82679892", "title": "A multi-task approach to face deblurring", "year": "2019", "pdf": ["https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1350-3"], "doi": ["https://doi.org/10.1186/s13638-019-1350-3"]}, {"id": "7003ec726b735733897edc3b8646d528ac2a48f0", "title": "Face Parsing for Mobile AR Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8699189"]}, {"id": "c299a9d7930a5c307a7cff9e4ca83a55fa4a14f6", "title": "Geometric Deep Learning and Heatmap Prediction for Large Deformation Registration of Abdominal and Thoracic CT In", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/c299/a9d7930a5c307a7cff9e4ca83a55fa4a14f6.pdf"], "doi": []}, {"id": "d8514f3edb1514b6226d9325162c234f01ae3450", "title": "A high-fidelity multiresolution DEM model for Earth systems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3140/f7a2e3d63a8f6f7244f1b244e186848bbbe7.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/images_of_groups.json b/site/datasets/unknown/images_of_groups.json index 9125a72d..33cda99b 100644 --- a/site/datasets/unknown/images_of_groups.json +++ b/site/datasets/unknown/images_of_groups.json @@ -1 +1 @@ -{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "citations": [{"id": "1f5ab3950d9cf691b92d738ac71694402856a9e0", "title": "Person of Interest in Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1f5a/b3950d9cf691b92d738ac71694402856a9e0.pdf"], "doi": []}, {"id": "20aa8348cf4847b9f72fe8ddbca8a2594ea23856", "title": "Learning ordinal discriminative features for age estimation", "year": "2012", "pdf": ["http://personal.stevens.edu/~clong/cvpr2012/Learning%20Ordinal%20Discriminative%20Features%20for%20Age%20Estimation.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjhy/gh28.pdf", "https://pdfs.semanticscholar.org/9d7b/19164bad2048cfc49bd018932b389eebd32b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247975", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247975", "http://doi.org/10.1109/CVPR.2012.6247975"]}, {"id": "2a1b83fbffd39a59ef1cb8f7168525fcdcfdf57f", "title": "Understanding images of groups of people", "year": "2009", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2009.5206828"]}, {"id": "81b4f1f6e8b993a04fb7e91842ad39691cb9e4c7", "title": "It's Not Polite to Point: Describing People with Uncertain Attributes", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/CVPR_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d089.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sadovnik_Its_Not_Polite_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619241", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.397", "http://doi.org/10.1109/CVPR.2013.397"]}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"], "doi": []}, {"id": "8b8728edc536020bc4871dc66b26a191f6658f7c", "title": "Robust gender recognition by exploiting facial attributes dependencies", "year": "2014", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/prl2013.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.04.028"]}, {"id": "23ec1d820a614fc2fe8048ac976efe0713cac824", "title": "Novel human age estimation system based on DCT features and locality-ordinal information", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823181"]}, {"id": "c5969c0c87eb80ff2c77f8c6e19bcfb90c5f54ca", "title": "Optimized clothes segmentation to boost gender classification in unconstrained scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03999.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "0d99f3a058337f5735f91bf87d40b6ec82f64005", "title": "Single- and cross- database benchmarks for gender classification under unconstrained settings", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130514"]}, {"id": "db8c3cfaae04a14c1209d62953029b6fa53e23c7", "title": "Challenges in representation learning: A report on three machine learning contests", "year": "2015", "pdf": ["https://arxiv.org/pdf/1307.0414.pdf"], "doi": []}, {"id": "1f30c72674ed747b93cc9572105be614126edce8", "title": "FACES--a database of facial expressions in young, middle-aged, and older women and men: development and validation.", "year": "2010", "pdf": ["http://library.mpib-berlin.mpg.de/ft/ne/NE_Faces_2010.pdf", "http://www.psych.ufl.edu/~ebner/documents/EbnerRiedigerLindenberger_BRM_2010.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20160315", "http://pubman.mpdl.mpg.de/pubman/item/escidoc:95169:20/component/escidoc:468059/FACES%20-%20A%20database%20of%20facial%20expressions%20in%20young,%20middle-aged,%20and%20older%20women%20and%20men:%20Development%20and%20validation", "https://doi.org/10.3758/BRM.42.1.351"]}]} \ No newline at end of file +{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "citations": [{"id": "20aa8348cf4847b9f72fe8ddbca8a2594ea23856", "title": "Learning ordinal discriminative features for age estimation", "year": "2012", "pdf": ["http://personal.stevens.edu/~clong/cvpr2012/Learning%20Ordinal%20Discriminative%20Features%20for%20Age%20Estimation.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjhy/gh28.pdf", "https://pdfs.semanticscholar.org/9d7b/19164bad2048cfc49bd018932b389eebd32b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247975", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247975", "http://doi.org/10.1109/CVPR.2012.6247975"]}, {"id": "2a1b83fbffd39a59ef1cb8f7168525fcdcfdf57f", "title": "Understanding images of groups of people", "year": "2009", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2009.5206828"]}, {"id": "81b4f1f6e8b993a04fb7e91842ad39691cb9e4c7", "title": "It's Not Polite to Point: Describing People with Uncertain Attributes", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/CVPR_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d089.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sadovnik_Its_Not_Polite_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619241", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.397", "http://doi.org/10.1109/CVPR.2013.397"]}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"], "doi": []}, {"id": "8b8728edc536020bc4871dc66b26a191f6658f7c", "title": "Robust gender recognition by exploiting facial attributes dependencies", "year": "2014", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/prl2013.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.04.028"]}, {"id": "23ec1d820a614fc2fe8048ac976efe0713cac824", "title": "Novel human age estimation system based on DCT features and locality-ordinal information", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823181"]}, {"id": "c5969c0c87eb80ff2c77f8c6e19bcfb90c5f54ca", "title": "Optimized clothes segmentation to boost gender classification in unconstrained scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03999.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "0d99f3a058337f5735f91bf87d40b6ec82f64005", "title": "Single- and cross- database benchmarks for gender classification under unconstrained settings", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130514"]}, {"id": "1f30c72674ed747b93cc9572105be614126edce8", "title": "FACES--a database of facial expressions in young, middle-aged, and older women and men: development and validation.", "year": "2010", "pdf": ["http://library.mpib-berlin.mpg.de/ft/ne/NE_Faces_2010.pdf", "http://www.psych.ufl.edu/~ebner/documents/EbnerRiedigerLindenberger_BRM_2010.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20160315", "http://pubman.mpdl.mpg.de/pubman/item/escidoc:95169:20/component/escidoc:468059/FACES%20-%20A%20database%20of%20facial%20expressions%20in%20young,%20middle-aged,%20and%20older%20women%20and%20men:%20Development%20and%20validation", "https://doi.org/10.3758/BRM.42.1.351"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/imdb_wiki.json b/site/datasets/unknown/imdb_wiki.json index 9ab4a139..9f8ee6e4 100644 --- a/site/datasets/unknown/imdb_wiki.json +++ b/site/datasets/unknown/imdb_wiki.json @@ -1 +1 @@ -{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "citations": [{"id": "92b61b09d2eed4937058d0f9494d9efeddc39002", "title": "BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92b6/1b09d2eed4937058d0f9494d9efeddc39002.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "title": "Improving Regression Performance with Distributional Losses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04613.pdf"], "doi": []}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "357963a46dfc150670061dbc23da6ba7d6da786e", "title": "Online Regression with Model Selection", "year": "2018", "pdf": [], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "36939e6a365e9db904d81325212177c9e9e76c54", "title": "Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/941b/5492e6ac98355fd7bc7531f846d638e814ac.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "a9ad8f6c6bf110485921b17f9790241b1548487c", "title": "Automatic Skin Tone Extraction for Visagism Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9ad/8f6c6bf110485921b17f9790241b1548487c.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "9c63c2210b5dde771ec8751cebc4281e74034fb0", "title": "CNN for IMU assisted odometry estimation using velodyne LiDAR", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06352.pdf"], "doi": []}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "title": "CAAE++: Improved CAAE for Age Progression/Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528393"]}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "title": "How to Train Your Neural Network with Dictionary Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7923743", "http://doi.org/10.1109/DCC.2017.87"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "5366573e96a1dadfcd4fd592f83017e378a0e185", "title": "Server, server in the cloud. Who is the fairest in the crowd?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08801.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "title": "XBadges. Identifying and training soft skills with commercial video games. Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00863.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "title": "ChaLearn Looking at People: Events and Resources", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e38/40ea3227851aaf4633133dd3cbf9bbe89e5b.pdf"], "doi": []}, {"id": "a7664247a37a89c74d0e1a1606a99119cffc41d4", "title": "Modal Consistency based Pre-Trained Multi-Model Reuse", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a766/4247a37a89c74d0e1a1606a99119cffc41d4.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}]} \ No newline at end of file +{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "citations": [{"id": "92b61b09d2eed4937058d0f9494d9efeddc39002", "title": "BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92b6/1b09d2eed4937058d0f9494d9efeddc39002.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "title": "Improving Regression Performance with Distributional Losses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04613.pdf"], "doi": []}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "357963a46dfc150670061dbc23da6ba7d6da786e", "title": "Online Regression with Model Selection", "year": "2018", "pdf": [], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "36939e6a365e9db904d81325212177c9e9e76c54", "title": "Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/941b/5492e6ac98355fd7bc7531f846d638e814ac.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "a9ad8f6c6bf110485921b17f9790241b1548487c", "title": "Automatic Skin Tone Extraction for Visagism Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9ad/8f6c6bf110485921b17f9790241b1548487c.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "9c63c2210b5dde771ec8751cebc4281e74034fb0", "title": "CNN for IMU assisted odometry estimation using velodyne LiDAR", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06352.pdf"], "doi": []}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "title": "CAAE++: Improved CAAE for Age Progression/Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528393"]}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "title": "How to Train Your Neural Network with Dictionary Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7923743", "http://doi.org/10.1109/DCC.2017.87"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "5366573e96a1dadfcd4fd592f83017e378a0e185", "title": "Server, server in the cloud. Who is the fairest in the crowd?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08801.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "title": "XBadges. Identifying and training soft skills with commercial video games. Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00863.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "title": "ChaLearn Looking at People: Events and Resources", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e38/40ea3227851aaf4633133dd3cbf9bbe89e5b.pdf"], "doi": []}, {"id": "a7664247a37a89c74d0e1a1606a99119cffc41d4", "title": "Modal Consistency based Pre-Trained Multi-Model Reuse", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a766/4247a37a89c74d0e1a1606a99119cffc41d4.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/leeds_sports_pose.json b/site/datasets/unknown/leeds_sports_pose.json index a4dffc5e..f4e53c6c 100644 --- a/site/datasets/unknown/leeds_sports_pose.json +++ b/site/datasets/unknown/leeds_sports_pose.json @@ -1 +1 @@ -{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "citations": [{"id": "7ced78b7fba4b63803baf2547b475d0edbfe8490", "title": "Can 3D Pose Be Learned from 2D Projections Alone?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07182.pdf"], "doi": []}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "474c8e5bcbc744ff7045bfbedfdb336ad0ad12e3", "title": "Space-Time Representation of People Based on 3D Skeletal Data: A Review", "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.01006.pdf"], "doi": []}, {"id": "4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8", "title": "Human parsing with a cascade of hierarchical poselet based pruners", "year": "2014", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890316", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890316", "http://doi.org/10.1109/ICME.2014.6890316"]}, {"id": "ab36110a9c443d32306631ee2fd37abfa64bc1cd", "title": "Fine-tuning human pose estimations in videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477680", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477680", "http://doi.org/10.1109/WACV.2016.7477680"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "2ddfe58e6e62dbc96138d434761d0a8127382fb2", "title": "Learning Latent Representations of 3D Human Pose with Deep Neural Networks", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/252823/files/main_paper.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1066-6"]}, {"id": "e4df9b008050bdda42670c020d6ebc88b086e36d", "title": "Improve Accurate Pose Alignment and Action Localization by Dense Pose Estimation", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_dc_paper_8.1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373870", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00077", "http://doi.org/10.1109/FG.2018.00077"]}, {"id": "474c75016daf7324cee0b354cad5f657b59c1dcf", "title": "Image-Based Synthesis for Deep 3D Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04216.pdf"], "doi": []}, {"id": "6801c8ea1fcb2f76799234a9a81c6199dd61b24c", "title": "Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3399.pdf"], "doi": []}, {"id": "33919313bb3cf09b00f9fa2253b30af33a52bc51", "title": "Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.09346.pdf"], "doi": []}, {"id": "f26a8dcfbaf9f46c021c41a3545fcfa845660c47", "title": "Human Pose Regression by Combining Indirect Part Detection and Contextual Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02322.pdf"], "doi": []}, {"id": "89ee022431da849b4991e41c0894d7535008ae99", "title": "Poselet Conditioned Pictorial Structures", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Pishchulin_Poselet_Conditioned_Pictorial_2013_CVPR_paper.pdf", "http://datasets.d2.mpi-inf.mpg.de/leonid13cvpr/pishchulin13cvprPoster.pdf", "http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a588.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "https://www.d2.mpi-inf.mpg.de/sites/default/files/pishchulin13cvpr_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618926", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.82", "http://doi.org/10.1109/CVPR.2013.82"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "6668ca5ab57d68070f90671a4f92a6bc25f80470", "title": "Measuring cues for stand-off deception detection based on full-body non-verbal features in body-worn cameras", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6668/ca5ab57d68070f90671a4f92a6bc25f80470.pdf"], "doi": []}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "7d94103c5e3796721388200ddaf94ed6e984ab0f", "title": "Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578481"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "008baae7037a47f69804c2eb8438d366a6e67486", "title": "3D Human Pose Estimation via Deep Learning from 2D Annotations", "year": "2016", "pdf": ["http://cs.bc.edu/~hjiang/papers/conference/3dv16.pdf", "http://www.cs.bc.edu/~hjiang/papers/conference/3dv16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785134", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.84", "http://doi.org/10.1109/3DV.2016.84"]}, {"id": "30c43c0eb26839541861819f420f1ac2dad0711c", "title": "A Human Body Part Segmentation Method Based on Markov Random Field", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414132"]}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb", "title": "A Generative Model of People in Clothing", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04098.pdf"], "doi": []}, {"id": "d8a0d1d56b1f93e703ea0f672df9700d7a39fdd5", "title": "3D Human Pose Estimation with Siamese Equivariant Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07217.pdf"], "doi": []}, {"id": "19f8f011516fe6ffa4ed74776a0149c9dbdc5ccf", "title": "Contextual Rescoring for Human Pose Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e03a/e5093d15d7c81461e6eedb4f40940f73eec6.pdf"], "doi": []}, {"id": "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "title": "Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01055.pdf"], "doi": []}, {"id": "39d6d71aec74a9a810239f04db2f8854d2f966eb", "title": "Articulated Pose Estimation with Global Body Orientation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281079"]}, {"id": "39a2cdee78bd671a4ef203aa703e05232840ad83", "title": "Stochastic Image Grammars for Human Pose Estimation", "year": "2013", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt4wb9q6wb/qt4wb9q6wb.pdf?t=npfjcg"], "doi": ["https://www.base-search.net/Record/545e3981940c3c1fcad59d6c1f9b666fb07b3c33471e24aebb6745b36693d02b"]}, {"id": "4645c1135a824292d44c18db93b96c8402026c83", "title": "Deep Globally Constrained MRFs for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237637"]}, {"id": "2236294e803316c5934fa387f27d128fa7819a03", "title": "Iterative Human Pose Estimation based on A New Part Appearance Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2236/294e803316c5934fa387f27d128fa7819a03.pdf"], "doi": []}, {"id": "69f097ceab54d580e7cc8eb52ee79ad2182c2686", "title": "Active Learning for Human Pose Estimation", "year": "2017", "pdf": ["http://calvin.inf.ed.ac.uk/wp-content/uploads/Publications/liu17iccv.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Active_Learning_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237730", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.468", "http://doi.org/10.1109/ICCV.2017.468"]}, {"id": "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "title": "Automatic Fish Classification System Using Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371919", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00016", "http://doi.org/10.1109/ICTAI.2017.00016"]}, {"id": "f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d", "title": "A Dual-Source Approach for 3D Human Pose Estimation from a Single Image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02883.pdf"], "doi": []}, {"id": "1ebf201b34d9687fa17e336a608ab43e466ca13f", "title": "Detecting Parts for Action Localization.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06005.pdf"], "doi": []}, {"id": "2e3f24d9cdba1d0343248a81c13bca96db123c21", "title": "2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Eichner12/eichner12.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0524-9", "https://www.wikidata.org/entity/Q57588967"]}, {"id": "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "title": "Robust human body segmentation based on part appearance and spatial constraint", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.003"]}, {"id": "53695e2dfec6737d585dd4e53757f73d18bd5e01", "title": "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578335"]}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}, {"id": "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "title": "Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2677/a79b6381f3e7787c5dca884fa53d0b28dfe2.pdf"], "doi": []}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "72fe1d86581e4672a534852d1e4f4680811db074", "title": "Animated Pose Templates for Modeling and Detecting Human Actions", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI-AnimatedPose_template.pdf", "http://www.stat.ucla.edu/~sczhu/papers/PAMI-Animated_Pose_Template.pdf", "http://www.stat.ucla.edu/~xnie/xiaohannie_files/papers/PAMI-AnimatedPose_template.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574854", "http://doi.org/10.1109/TPAMI.2013.144", "https://www.ncbi.nlm.nih.gov/pubmed/24457502", "https://www.wikidata.org/entity/Q42639318"]}, {"id": "c930f860b783f811814feb3cf5905287a62f8050", "title": "Visual narratives : free-hand sketch for visual search and navigation of video", "year": "2016", "pdf": [], "doi": []}, {"id": "3adbf4ed5e4e3f59afb7509119667c8701c7cf37", "title": "Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00634.pdf"], "doi": []}, {"id": "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "title": "Integrating Grammar and Segmentation for Human Pose Estimation", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d214.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Rothrock_Integrating_Grammar_and_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/Human_parsing_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619257", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.413", "http://doi.org/10.1109/CVPR.2013.413"]}, {"id": "195d331c958f2da3431f37a344559f9bce09c0f7", "title": "Parsing occluded people by flexible compositions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1526.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "413a184b584dc2b669fbe731ace1e48b22945443", "title": "Human Pose Co-Estimation and Applications", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner-techreport11.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/eichner12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00911.pdf", "https://www.research.ed.ac.uk/portal/files/17356222/eichner_and_ferrari_2012_human_pose_co_estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180176", "http://doi.org/10.1109/TPAMI.2012.85", "https://www.ncbi.nlm.nih.gov/pubmed/22487983", "https://www.wikidata.org/entity/Q51384961"]}, {"id": "2bfe6128731674488249316cd2db83fe9045278d", "title": "Real-time Human Pose Estimation with Convolutional Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2bfe/6128731674488249316cd2db83fe9045278d.pdf"], "doi": []}, {"id": "0f8a0c308bb63aaf2741a4817ea0464a85854e4d", "title": "Human Pose Estimation Using Deep Structure Guided Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926724", "http://doi.org/10.1109/WACV.2017.141"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "title": "Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f8/e386771b59a1dfc7bbea83a78a7c0b82b5c5.pdf"], "doi": []}, {"id": "0f4acbcaf70fb008fbf75d856ccd9dd529cad43c", "title": "Generating Human Images and Ground Truth using Computer Graphics", "year": "2016", "pdf": [], "doi": []}, {"id": "08847df8ea5b22c6a2d6d75352ef6270f53611de", "title": "Using k-Poselets for Detecting People and Localizing Their Keypoints", "year": "2014", "pdf": ["http://home.bharathh.info/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~gkioxari/cv-us.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Gkioxari_Using_k-Poselets_for_2014_CVPR_paper.pdf", "http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ghgm_cvpr2014.pdf", "https://people.eecs.berkeley.edu/~gkioxari/kposelets.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.458", "http://doi.org/10.1109/CVPR.2014.458"]}, {"id": "4ee4a540b3a2bbfe263573852d2a5f6231002145", "title": "HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/09b0/040ad09d61f3403c57c437c03271f8614add.pdf"], "doi": []}, {"id": "f3a34525fa7021322f132c80c9517f240cf1e742", "title": "Pose and Pathosformel in Aby Warburg's Bilderatlas", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f3a3/4525fa7021322f132c80c9517f240cf1e742.pdf"], "doi": []}, {"id": "21033d95e673cc4b28d81b15c80ad46cc0bdc22b", "title": "Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/pose_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d578.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ladicky_Human_Pose_Estimation_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/pose_cvpr13.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Ladicky13/ladicky13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619303", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.459", "http://doi.org/10.1109/CVPR.2013.459"]}, {"id": "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "title": "Articulated pose estimation via multiple mixture parts model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301801", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301801", "http://doi.org/10.1109/AVSS.2015.7301801"]}, {"id": "1193317829bfcc9b9dffa5ae85a2e2114254b37e", "title": "Recent Advances in Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07108.pdf"], "doi": []}, {"id": "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "title": "Adversarially Parameterized Optimization for 3D Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374567", "http://doi.ieeecomputersociety.org/10.1109/3DV.2017.00026", "http://doi.org/10.1109/3DV.2017.00026"]}, {"id": "75512a0c23866cc2f0bcf349b770f0fb2ce17e57", "title": "Ordinal Depth Supervision for 3D Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578861"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.06177.pdf"], "doi": []}, {"id": "7750d24f5861551ea8a9b371f8f9e5c404a6e81f", "title": "Detecting Nonexistent Pedestrians", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w3/Chien_Detecting_Nonexistent_Pedestrians_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265240", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.30", "http://doi.org/10.1109/ICCVW.2017.30"]}, {"id": "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "title": "Human pose estimation via multi-layer composite models", "year": "2015", "pdf": ["http://vision.soic.indiana.edu/papers/humanpose2015sp.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2014.09.014"]}, {"id": "ef14393a9b6da680390461901f8be949e101a88c", "title": "Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976783", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.72", "http://doi.org/10.1109/ICPR.2014.72"]}, {"id": "38a3611138388490c2cd60dfbf795932d5e55a79", "title": "2 D pose estimation in the Restaurant of the Future", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/38a3/611138388490c2cd60dfbf795932d5e55a79.pdf"], "doi": []}, {"id": "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "title": "Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images", "year": "2014", "pdf": ["http://e-collection.library.ethz.ch/eserv/eth:14547/eth-14547-01.pdf", "http://www.iai.uni-bonn.de/~gall/download/jgall_humanpose2d_extendedversion.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01078.pdf", "https://pages.iai.uni-bonn.de/gall_juergen/download/jgall_humanpose2d_pami14.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/89534/eth-14547-01.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6802375", "http://doi.org/10.1109/TPAMI.2014.2318702", "https://www.ncbi.nlm.nih.gov/pubmed/26353056", "https://www.wikidata.org/entity/Q40558807"]}, {"id": "ef48f1d8ec88dabbf7253cb1c8a224cb95f604af", "title": "Survey on Video Analysis of Human Walking Motion", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ef48/f1d8ec88dabbf7253cb1c8a224cb95f604af.pdf"], "doi": []}, {"id": "ed3c4d2d28faaccbaef876a7daaecc3cccadb48f", "title": "3D Human Pose Estimation from a Single Image via Distance Matrix Regression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09010.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "1d6c13beb860bae7e566b7dfc5c0a449b854a590", "title": "GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578111"]}, {"id": "6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3", "title": "Pathological Tremor Detection From Video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c38/ab65df4a1bf546f1426e8a7f2f5cb5f765d3.pdf"], "doi": []}, {"id": "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "title": "Automatic Generation of Planar Marionettes from Frontal Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b4b6/a0129bf6a716fca80a4cfc322687a72fa927.pdf"], "doi": []}, {"id": "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "title": "In-Bed Pose Estimation: Deep Learning With Shallow Dataset", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611350"]}, {"id": "0a81810af97e8ab5b8c483209b4d0ff7210436f9", "title": "Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0a81/810af97e8ab5b8c483209b4d0ff7210436f9.pdf"], "doi": []}, {"id": "571a29d324cbacd036d8a30ffd0f586ba128a10e", "title": "A Parameter Efficient Human Pose Estimation Method Based on Densely Connected Convolutional Module", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485293", "http://doi.org/10.1109/ACCESS.2018.2874307"]}, {"id": "4b83eff7c2d758f8ae04c52b7ded5afebaeefa4f", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "bf2b886510c9a932c41348a60d1b9c843bdcd544", "title": "A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227386", "http://doi.org/10.1109/DICTA.2017.8227386"]}, {"id": "31a1d959e62dcc078fa2670fb9cb75b6bb070ef7", "title": "Efficient 2D human pose estimation using mean-shift", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025685", "http://doi.org/10.1109/ICIP.2014.7025685"]}, {"id": "cfbb771b7ebbd6f318a1bc2241e7fbcba56c9ba2", "title": "Detection, tracking and pose estimation of people in challenging real-world scenes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cfbb/771b7ebbd6f318a1bc2241e7fbcba56c9ba2.pdf"], "doi": []}, {"id": "81eb804756f27d08f2d193d1074e58e1c5d263ca", "title": "Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81eb/804756f27d08f2d193d1074e58e1c5d263ca.pdf"], "doi": []}, {"id": "99ae92bae7c873432a6a60238b33d494bbae13eb", "title": "RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/99ae/92bae7c873432a6a60238b33d494bbae13eb.pdf"], "doi": []}, {"id": "7fcca469ded8293c0a77849a1b4fa39a427cdaac", "title": "Human Pose Estimation via Multi-resolution Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575908"]}, {"id": "6daf590f25f0a0e02c46b4d0d89df0eafbe23d06", "title": "Monocular Human Motion Tracking with Non-Connected Body Part Dependency", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371283", "http://doi.org/10.1109/DICTA.2015.7371283"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "54ed052738ca0f4570c74931857b3275fca9993b", "title": "Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.02407.pdf"], "doi": []}, {"id": "06cfc431b70ec6a6783284953a668984600e77e2", "title": "A Framework for Human Pose Estimation in Videos", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07788.pdf"], "doi": []}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "a0107238471816ac3b8fec32bb8499c082338593", "title": "Deep Refinement Convolutional Networks for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961775", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.148", "http://doi.org/10.1109/FG.2017.148"]}, {"id": "821702d8c32176ab03fb39b2a60a6293a06d620f", "title": "A Robust Framework for 2D Human Pose Tracking with Spatial and Temporal Constraints", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008091", "http://doi.org/10.1109/DICTA.2014.7008091"]}, {"id": "03270297b85b4a5a0d3468767ece17446c97df1d", "title": "Incorporating Part Appearances Symmetry for Human Pose Estimation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281070"]}, {"id": "d53cd5869a3d718ebfe8a383f76e7ede2458dd69", "title": "Tracking Human Pose by Tracking Symmetric Parts", "year": "2013", "pdf": ["http://ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d728.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ramakrishna_Tracking_Human_Pose_2013_CVPR_paper.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619322", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.478", "http://doi.org/10.1109/CVPR.2013.478"]}, {"id": "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "title": "End-to-End Algorithm for Recovering Human 3D Model from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622918"]}, {"id": "e4894a4d8fccfbe99fa065ab86d0203e1e447b25", "title": "Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e489/4a4d8fccfbe99fa065ab86d0203e1e447b25.pdf"], "doi": []}, {"id": "b137480d2ccf3b53433de208815ce891d95af912", "title": "Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections", "year": "2012", "pdf": ["http://epubs.surrey.ac.uk/605306/1/Ren-TMM-2012.pdf", "http://personal.ee.surrey.ac.uk/Personal/J.Collomosse/pubs/Ren-TMM-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202345", "http://doi.org/10.1109/TMM.2012.2199971"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "96feb1534ff81fce7699e0440e5b5432d450ae4f", "title": "Recovering missing data from human body images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fe/b1534ff81fce7699e0440e5b5432d450ae4f.pdf"], "doi": []}, {"id": "5fb894b0acd39a6c8b05b5c736cbb84b7b5d2fc2", "title": "Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8491000"]}]} \ No newline at end of file +{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "citations": [{"id": "7ced78b7fba4b63803baf2547b475d0edbfe8490", "title": "Can 3D Pose Be Learned from 2D Projections Alone?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07182.pdf"], "doi": []}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "474c8e5bcbc744ff7045bfbedfdb336ad0ad12e3", "title": "Space-Time Representation of People Based on 3D Skeletal Data: A Review", "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.01006.pdf"], "doi": []}, {"id": "4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8", "title": "Human parsing with a cascade of hierarchical poselet based pruners", "year": "2014", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890316", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890316", "http://doi.org/10.1109/ICME.2014.6890316"]}, {"id": "ab36110a9c443d32306631ee2fd37abfa64bc1cd", "title": "Fine-tuning human pose estimations in videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477680", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477680", "http://doi.org/10.1109/WACV.2016.7477680"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "2ddfe58e6e62dbc96138d434761d0a8127382fb2", "title": "Learning Latent Representations of 3D Human Pose with Deep Neural Networks", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/252823/files/main_paper.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1066-6"]}, {"id": "e4df9b008050bdda42670c020d6ebc88b086e36d", "title": "Improve Accurate Pose Alignment and Action Localization by Dense Pose Estimation", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_dc_paper_8.1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373870", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00077", "http://doi.org/10.1109/FG.2018.00077"]}, {"id": "474c75016daf7324cee0b354cad5f657b59c1dcf", "title": "Image-Based Synthesis for Deep 3D Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04216.pdf"], "doi": []}, {"id": "6801c8ea1fcb2f76799234a9a81c6199dd61b24c", "title": "Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3399.pdf"], "doi": []}, {"id": "33919313bb3cf09b00f9fa2253b30af33a52bc51", "title": "Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.09346.pdf"], "doi": []}, {"id": "f26a8dcfbaf9f46c021c41a3545fcfa845660c47", "title": "Human Pose Regression by Combining Indirect Part Detection and Contextual Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02322.pdf"], "doi": []}, {"id": "89ee022431da849b4991e41c0894d7535008ae99", "title": "Poselet Conditioned Pictorial Structures", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Pishchulin_Poselet_Conditioned_Pictorial_2013_CVPR_paper.pdf", "http://datasets.d2.mpi-inf.mpg.de/leonid13cvpr/pishchulin13cvprPoster.pdf", "http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a588.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "https://www.d2.mpi-inf.mpg.de/sites/default/files/pishchulin13cvpr_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618926", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.82", "http://doi.org/10.1109/CVPR.2013.82"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "6668ca5ab57d68070f90671a4f92a6bc25f80470", "title": "Measuring cues for stand-off deception detection based on full-body non-verbal features in body-worn cameras", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6668/ca5ab57d68070f90671a4f92a6bc25f80470.pdf"], "doi": []}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "7d94103c5e3796721388200ddaf94ed6e984ab0f", "title": "Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578481"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "30c43c0eb26839541861819f420f1ac2dad0711c", "title": "A Human Body Part Segmentation Method Based on Markov Random Field", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414132"]}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb", "title": "A Generative Model of People in Clothing", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04098.pdf"], "doi": []}, {"id": "d8a0d1d56b1f93e703ea0f672df9700d7a39fdd5", "title": "3D Human Pose Estimation with Siamese Equivariant Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07217.pdf"], "doi": []}, {"id": "19f8f011516fe6ffa4ed74776a0149c9dbdc5ccf", "title": "Contextual Rescoring for Human Pose Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e03a/e5093d15d7c81461e6eedb4f40940f73eec6.pdf"], "doi": []}, {"id": "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "title": "Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01055.pdf"], "doi": []}, {"id": "39d6d71aec74a9a810239f04db2f8854d2f966eb", "title": "Articulated Pose Estimation with Global Body Orientation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281079"]}, {"id": "39a2cdee78bd671a4ef203aa703e05232840ad83", "title": "Stochastic Image Grammars for Human Pose Estimation", "year": "2013", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt4wb9q6wb/qt4wb9q6wb.pdf?t=npfjcg"], "doi": ["https://www.base-search.net/Record/545e3981940c3c1fcad59d6c1f9b666fb07b3c33471e24aebb6745b36693d02b"]}, {"id": "4645c1135a824292d44c18db93b96c8402026c83", "title": "Deep Globally Constrained MRFs for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237637"]}, {"id": "2236294e803316c5934fa387f27d128fa7819a03", "title": "Iterative Human Pose Estimation based on A New Part Appearance Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2236/294e803316c5934fa387f27d128fa7819a03.pdf"], "doi": []}, {"id": "69f097ceab54d580e7cc8eb52ee79ad2182c2686", "title": "Active Learning for Human Pose Estimation", "year": "2017", "pdf": ["http://calvin.inf.ed.ac.uk/wp-content/uploads/Publications/liu17iccv.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Active_Learning_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237730", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.468", "http://doi.org/10.1109/ICCV.2017.468"]}, {"id": "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "title": "Automatic Fish Classification System Using Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371919", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00016", "http://doi.org/10.1109/ICTAI.2017.00016"]}, {"id": "f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d", "title": "A Dual-Source Approach for 3D Human Pose Estimation from a Single Image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02883.pdf"], "doi": []}, {"id": "1ebf201b34d9687fa17e336a608ab43e466ca13f", "title": "Detecting Parts for Action Localization.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06005.pdf"], "doi": []}, {"id": "2e3f24d9cdba1d0343248a81c13bca96db123c21", "title": "2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Eichner12/eichner12.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0524-9", "https://www.wikidata.org/entity/Q57588967"]}, {"id": "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "title": "Robust human body segmentation based on part appearance and spatial constraint", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.003"]}, {"id": "53695e2dfec6737d585dd4e53757f73d18bd5e01", "title": "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578335"]}, {"id": "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "title": "Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2677/a79b6381f3e7787c5dca884fa53d0b28dfe2.pdf"], "doi": []}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "72fe1d86581e4672a534852d1e4f4680811db074", "title": "Animated Pose Templates for Modeling and Detecting Human Actions", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI-AnimatedPose_template.pdf", "http://www.stat.ucla.edu/~sczhu/papers/PAMI-Animated_Pose_Template.pdf", "http://www.stat.ucla.edu/~xnie/xiaohannie_files/papers/PAMI-AnimatedPose_template.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574854", "http://doi.org/10.1109/TPAMI.2013.144", "https://www.ncbi.nlm.nih.gov/pubmed/24457502", "https://www.wikidata.org/entity/Q42639318"]}, {"id": "c930f860b783f811814feb3cf5905287a62f8050", "title": "Visual narratives : free-hand sketch for visual search and navigation of video", "year": "2016", "pdf": [], "doi": []}, {"id": "3adbf4ed5e4e3f59afb7509119667c8701c7cf37", "title": "Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00634.pdf"], "doi": []}, {"id": "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "title": "Integrating Grammar and Segmentation for Human Pose Estimation", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d214.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Rothrock_Integrating_Grammar_and_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/Human_parsing_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619257", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.413", "http://doi.org/10.1109/CVPR.2013.413"]}, {"id": "195d331c958f2da3431f37a344559f9bce09c0f7", "title": "Parsing occluded people by flexible compositions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1526.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "413a184b584dc2b669fbe731ace1e48b22945443", "title": "Human Pose Co-Estimation and Applications", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner-techreport11.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/eichner12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00911.pdf", "https://www.research.ed.ac.uk/portal/files/17356222/eichner_and_ferrari_2012_human_pose_co_estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180176", "http://doi.org/10.1109/TPAMI.2012.85", "https://www.ncbi.nlm.nih.gov/pubmed/22487983", "https://www.wikidata.org/entity/Q51384961"]}, {"id": "2bfe6128731674488249316cd2db83fe9045278d", "title": "Real-time Human Pose Estimation with Convolutional Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2bfe/6128731674488249316cd2db83fe9045278d.pdf"], "doi": []}, {"id": "0f8a0c308bb63aaf2741a4817ea0464a85854e4d", "title": "Human Pose Estimation Using Deep Structure Guided Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926724", "http://doi.org/10.1109/WACV.2017.141"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "title": "Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f8/e386771b59a1dfc7bbea83a78a7c0b82b5c5.pdf"], "doi": []}, {"id": "0f4acbcaf70fb008fbf75d856ccd9dd529cad43c", "title": "Generating Human Images and Ground Truth using Computer Graphics", "year": "2016", "pdf": [], "doi": []}, {"id": "08847df8ea5b22c6a2d6d75352ef6270f53611de", "title": "Using k-Poselets for Detecting People and Localizing Their Keypoints", "year": "2014", "pdf": ["http://home.bharathh.info/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~gkioxari/cv-us.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Gkioxari_Using_k-Poselets_for_2014_CVPR_paper.pdf", "http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ghgm_cvpr2014.pdf", "https://people.eecs.berkeley.edu/~gkioxari/kposelets.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.458", "http://doi.org/10.1109/CVPR.2014.458"]}, {"id": "4ee4a540b3a2bbfe263573852d2a5f6231002145", "title": "HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/09b0/040ad09d61f3403c57c437c03271f8614add.pdf"], "doi": []}, {"id": "f3a34525fa7021322f132c80c9517f240cf1e742", "title": "Pose and Pathosformel in Aby Warburg's Bilderatlas", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f3a3/4525fa7021322f132c80c9517f240cf1e742.pdf"], "doi": []}, {"id": "21033d95e673cc4b28d81b15c80ad46cc0bdc22b", "title": "Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/pose_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d578.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ladicky_Human_Pose_Estimation_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/pose_cvpr13.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Ladicky13/ladicky13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619303", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.459", "http://doi.org/10.1109/CVPR.2013.459"]}, {"id": "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "title": "Articulated pose estimation via multiple mixture parts model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301801", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301801", "http://doi.org/10.1109/AVSS.2015.7301801"]}, {"id": "1193317829bfcc9b9dffa5ae85a2e2114254b37e", "title": "Recent Advances in Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07108.pdf"], "doi": []}, {"id": "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "title": "Adversarially Parameterized Optimization for 3D Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374567", "http://doi.ieeecomputersociety.org/10.1109/3DV.2017.00026", "http://doi.org/10.1109/3DV.2017.00026"]}, {"id": "75512a0c23866cc2f0bcf349b770f0fb2ce17e57", "title": "Ordinal Depth Supervision for 3D Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578861"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.06177.pdf"], "doi": []}, {"id": "7750d24f5861551ea8a9b371f8f9e5c404a6e81f", "title": "Detecting Nonexistent Pedestrians", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w3/Chien_Detecting_Nonexistent_Pedestrians_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265240", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.30", "http://doi.org/10.1109/ICCVW.2017.30"]}, {"id": "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "title": "Human pose estimation via multi-layer composite models", "year": "2015", "pdf": ["http://vision.soic.indiana.edu/papers/humanpose2015sp.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2014.09.014"]}, {"id": "ef14393a9b6da680390461901f8be949e101a88c", "title": "Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976783", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.72", "http://doi.org/10.1109/ICPR.2014.72"]}, {"id": "38a3611138388490c2cd60dfbf795932d5e55a79", "title": "2 D pose estimation in the Restaurant of the Future", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/38a3/611138388490c2cd60dfbf795932d5e55a79.pdf"], "doi": []}, {"id": "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "title": "Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images", "year": "2014", "pdf": ["http://e-collection.library.ethz.ch/eserv/eth:14547/eth-14547-01.pdf", "http://www.iai.uni-bonn.de/~gall/download/jgall_humanpose2d_extendedversion.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01078.pdf", "https://pages.iai.uni-bonn.de/gall_juergen/download/jgall_humanpose2d_pami14.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/89534/eth-14547-01.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6802375", "http://doi.org/10.1109/TPAMI.2014.2318702", "https://www.ncbi.nlm.nih.gov/pubmed/26353056", "https://www.wikidata.org/entity/Q40558807"]}, {"id": "ef48f1d8ec88dabbf7253cb1c8a224cb95f604af", "title": "Survey on Video Analysis of Human Walking Motion", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ef48/f1d8ec88dabbf7253cb1c8a224cb95f604af.pdf"], "doi": []}, {"id": "ed3c4d2d28faaccbaef876a7daaecc3cccadb48f", "title": "3D Human Pose Estimation from a Single Image via Distance Matrix Regression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09010.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "1d6c13beb860bae7e566b7dfc5c0a449b854a590", "title": "GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578111"]}, {"id": "6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3", "title": "Pathological Tremor Detection From Video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c38/ab65df4a1bf546f1426e8a7f2f5cb5f765d3.pdf"], "doi": []}, {"id": "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "title": "Automatic Generation of Planar Marionettes from Frontal Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b4b6/a0129bf6a716fca80a4cfc322687a72fa927.pdf"], "doi": []}, {"id": "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "title": "In-Bed Pose Estimation: Deep Learning With Shallow Dataset", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611350"]}, {"id": "0a81810af97e8ab5b8c483209b4d0ff7210436f9", "title": "Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0a81/810af97e8ab5b8c483209b4d0ff7210436f9.pdf"], "doi": []}, {"id": "571a29d324cbacd036d8a30ffd0f586ba128a10e", "title": "A Parameter Efficient Human Pose Estimation Method Based on Densely Connected Convolutional Module", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485293", "http://doi.org/10.1109/ACCESS.2018.2874307"]}, {"id": "4b83eff7c2d758f8ae04c52b7ded5afebaeefa4f", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "bf2b886510c9a932c41348a60d1b9c843bdcd544", "title": "A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227386", "http://doi.org/10.1109/DICTA.2017.8227386"]}, {"id": "31a1d959e62dcc078fa2670fb9cb75b6bb070ef7", "title": "Efficient 2D human pose estimation using mean-shift", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025685", "http://doi.org/10.1109/ICIP.2014.7025685"]}, {"id": "cfbb771b7ebbd6f318a1bc2241e7fbcba56c9ba2", "title": "Detection, tracking and pose estimation of people in challenging real-world scenes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cfbb/771b7ebbd6f318a1bc2241e7fbcba56c9ba2.pdf"], "doi": []}, {"id": "81eb804756f27d08f2d193d1074e58e1c5d263ca", "title": "Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81eb/804756f27d08f2d193d1074e58e1c5d263ca.pdf"], "doi": []}, {"id": "99ae92bae7c873432a6a60238b33d494bbae13eb", "title": "RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/99ae/92bae7c873432a6a60238b33d494bbae13eb.pdf"], "doi": []}, {"id": "7fcca469ded8293c0a77849a1b4fa39a427cdaac", "title": "Human Pose Estimation via Multi-resolution Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575908"]}, {"id": "6daf590f25f0a0e02c46b4d0d89df0eafbe23d06", "title": "Monocular Human Motion Tracking with Non-Connected Body Part Dependency", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371283", "http://doi.org/10.1109/DICTA.2015.7371283"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "54ed052738ca0f4570c74931857b3275fca9993b", "title": "Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.02407.pdf"], "doi": []}, {"id": "06cfc431b70ec6a6783284953a668984600e77e2", "title": "A Framework for Human Pose Estimation in Videos", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07788.pdf"], "doi": []}, {"id": "a0107238471816ac3b8fec32bb8499c082338593", "title": "Deep Refinement Convolutional Networks for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961775", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.148", "http://doi.org/10.1109/FG.2017.148"]}, {"id": "821702d8c32176ab03fb39b2a60a6293a06d620f", "title": "A Robust Framework for 2D Human Pose Tracking with Spatial and Temporal Constraints", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008091", "http://doi.org/10.1109/DICTA.2014.7008091"]}, {"id": "03270297b85b4a5a0d3468767ece17446c97df1d", "title": "Incorporating Part Appearances Symmetry for Human Pose Estimation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281070"]}, {"id": "d53cd5869a3d718ebfe8a383f76e7ede2458dd69", "title": "Tracking Human Pose by Tracking Symmetric Parts", "year": "2013", "pdf": ["http://ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d728.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ramakrishna_Tracking_Human_Pose_2013_CVPR_paper.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619322", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.478", "http://doi.org/10.1109/CVPR.2013.478"]}, {"id": "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "title": "End-to-End Algorithm for Recovering Human 3D Model from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622918"]}, {"id": "e4894a4d8fccfbe99fa065ab86d0203e1e447b25", "title": "Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e489/4a4d8fccfbe99fa065ab86d0203e1e447b25.pdf"], "doi": []}, {"id": "b137480d2ccf3b53433de208815ce891d95af912", "title": "Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections", "year": "2012", "pdf": ["http://epubs.surrey.ac.uk/605306/1/Ren-TMM-2012.pdf", "http://personal.ee.surrey.ac.uk/Personal/J.Collomosse/pubs/Ren-TMM-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202345", "http://doi.org/10.1109/TMM.2012.2199971"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "96feb1534ff81fce7699e0440e5b5432d450ae4f", "title": "Recovering missing data from human body images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fe/b1534ff81fce7699e0440e5b5432d450ae4f.pdf"], "doi": []}, {"id": "5fb894b0acd39a6c8b05b5c736cbb84b7b5d2fc2", "title": "Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8491000"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/leeds_sports_pose_extended.json b/site/datasets/unknown/leeds_sports_pose_extended.json index 7594b54b..ec872cc6 100644 --- a/site/datasets/unknown/leeds_sports_pose_extended.json +++ b/site/datasets/unknown/leeds_sports_pose_extended.json @@ -1 +1 @@ -{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "citations": [{"id": "06cfc431b70ec6a6783284953a668984600e77e2", "title": "A Framework for Human Pose Estimation in Videos", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07788.pdf"], "doi": []}, {"id": "4645c1135a824292d44c18db93b96c8402026c83", "title": "Deep Globally Constrained MRFs for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237637"]}, {"id": "82a7ee86e3a8a0cf5a0447cabe94150e30b01f25", "title": "Unsupervised learning of object detectors for everyday scenes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/82a7/ee86e3a8a0cf5a0447cabe94150e30b01f25.pdf"], "doi": []}, {"id": "39a2cdee78bd671a4ef203aa703e05232840ad83", "title": "Stochastic Image Grammars for Human Pose Estimation", "year": "2013", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt4wb9q6wb/qt4wb9q6wb.pdf?t=npfjcg"], "doi": ["https://www.base-search.net/Record/545e3981940c3c1fcad59d6c1f9b666fb07b3c33471e24aebb6745b36693d02b"]}, {"id": "b3ad5304072264ef0419b810d6ed0c69a109d5a5", "title": "Monocular 3D Human Pose Estimation by Predicting Depth on Joints", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Nie_Monocular_3D_Human_ICCV_2017_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2017/ICCV2017_3DPose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237635", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.373", "http://doi.org/10.1109/ICCV.2017.373"]}, {"id": "0f5bf2a208d262aa0469bd3185f6e2e56acada81", "title": "Pose Estimation and Segmentation of People in 3D Movies", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk3_pose.pdf", "http://lear.inrialpes.fr/people/alahari/papers/alahari13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Alahari_Pose_Estimation_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/13iccv_alahari.pdf", "https://hal.inria.fr/hal-00874884/file/paper14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751373", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.263", "http://doi.org/10.1109/ICCV.2013.263"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "5979acf247d8af73b41da0eab6d8a7eda1036c9a", "title": "A Fully-Convolutional Framework for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227388", "http://doi.org/10.1109/DICTA.2017.8227388"]}, {"id": "8f690751e82bd3aa3a6b142309d3010ed6d577ca", "title": "Chinese Traffic Police Gesture Recognition in Complex Scene", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6121004", "http://doi.ieeecomputersociety.org/10.1109/TrustCom.2011.208", "http://doi.org/10.1109/TrustCom.2011.208"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "1550c3835822843a02b2144cef8abc534441f5d4", "title": "Human Pose Classification within the Context of Near-IR Imagery Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1550/c3835822843a02b2144cef8abc534441f5d4.pdf"], "doi": []}, {"id": "2177f2a85f2f7b4b841c7a01bc74499005104aad", "title": "Learning person-object interactions for action recognition in still images", "year": "2011", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2011_0858.pdf", "http://papers.nips.cc/paper/4224-learning-person-object-interactions-for-action-recognition-in-still-images.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w05-fadime.pdf", "http://www.di.ens.fr/~josef/publications/delaitre11.pdf", "http://www.quaero.org/media/files/bibliographie/delaitre_learning_person-object_nips2011.pdf"], "doi": ["http://papers.nips.cc/paper/4224-learning-person-object-interactions-for-action-recognition-in-still-images"]}, {"id": "1deb7f96fc92d5c9e04d2cbb277473fee878e144", "title": "Cascaded Pyramid Network for Multi-person Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578840"]}, {"id": "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "title": "Human pose estimation via multi-layer composite models", "year": "2015", "pdf": ["http://vision.soic.indiana.edu/papers/humanpose2015sp.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2014.09.014"]}, {"id": "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "title": "Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images", "year": "2014", "pdf": ["http://e-collection.library.ethz.ch/eserv/eth:14547/eth-14547-01.pdf", "http://www.iai.uni-bonn.de/~gall/download/jgall_humanpose2d_extendedversion.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01078.pdf", "https://pages.iai.uni-bonn.de/gall_juergen/download/jgall_humanpose2d_pami14.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/89534/eth-14547-01.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6802375", "http://doi.org/10.1109/TPAMI.2014.2318702", "https://www.ncbi.nlm.nih.gov/pubmed/26353056", "https://www.wikidata.org/entity/Q40558807"]}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "5522073ebd53a6502cec9d716a77bb2c18aca593", "title": "Multi-view Body Part Recognition with Random Forests", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1b4a/0d40dc2a6f2f76e9aa2d60e121ff68cf4ce6.pdf"], "doi": []}, {"id": "3bd63bea64c770df5049879f4398e65f958ebd23", "title": "Predicting an Object Location Using a Global Image Representation", "year": "2013", "pdf": ["http://fire-id.gforge.inria.fr/_static/papers/iccv13_rodriguez.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Serrano_Predicting_an_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751325", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.217", "http://doi.org/10.1109/ICCV.2013.217"]}, {"id": "474c75016daf7324cee0b354cad5f657b59c1dcf", "title": "Image-Based Synthesis for Deep 3D Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04216.pdf"], "doi": []}, {"id": "299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37", "title": "Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02112.pdf"], "doi": []}, {"id": "62c9590d6a37a24e6ce7805a4b1fe20c8e502c5e", "title": "From motion capture to interactive virtual worlds: towards unconstrained motion-capture algorithms for real-time performance-driven character animation", "year": "2016", "pdf": ["https://diglib.eg.org/xmlui/bitstream/handle/10.2312/2631225/Rhodin.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.22028/D291-26685", "http://d-nb.info/1123071160"]}, {"id": "038251b7c6ffee94181dd6584ae2a923a6b0be07", "title": "LSTM Pose Machines", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578644"]}, {"id": "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "title": "Automatic Generation of Planar Marionettes from Frontal Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b4b6/a0129bf6a716fca80a4cfc322687a72fa927.pdf"], "doi": []}, {"id": "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "title": "In-Bed Pose Estimation: Deep Learning With Shallow Dataset", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611350"]}, {"id": "a0107238471816ac3b8fec32bb8499c082338593", "title": "Deep Refinement Convolutional Networks for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961775", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.148", "http://doi.org/10.1109/FG.2017.148"]}, {"id": "ea370d80391c3f4b05e04c2248d8656351b99773", "title": "Data-Driven Detection of Prominent Objects", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360192", "http://doi.org/10.1109/TPAMI.2015.2509988", "https://www.ncbi.nlm.nih.gov/pubmed/26700971", "https://www.wikidata.org/entity/Q31033789"]}, {"id": "03ee62090d89cffdd6fa26a12943c9eaf1de5d79", "title": "Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910026"]}, {"id": "89ee022431da849b4991e41c0894d7535008ae99", "title": "Poselet Conditioned Pictorial Structures", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Pishchulin_Poselet_Conditioned_Pictorial_2013_CVPR_paper.pdf", "http://datasets.d2.mpi-inf.mpg.de/leonid13cvpr/pishchulin13cvprPoster.pdf", "http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a588.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "https://www.d2.mpi-inf.mpg.de/sites/default/files/pishchulin13cvpr_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618926", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.82", "http://doi.org/10.1109/CVPR.2013.82"]}, {"id": "7fc2979d8efa6cf5af0c66ca2556a83d434690d0", "title": "Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes", "year": "2018", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI_Attribute_Grammar.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990516", "http://doi.org/10.1109/TPAMI.2017.2731842", "https://www.ncbi.nlm.nih.gov/pubmed/28749346", "https://www.wikidata.org/entity/Q53102077"]}, {"id": "30b74c53bd7a9b364920e5074b52b3f737a71c89", "title": "Analysis and Our Approach 3 . 1 . Pose Machines : From Image to Video", "year": "2018", "pdf": [], "doi": []}, {"id": "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "title": "Robust human body segmentation based on part appearance and spatial constraint", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.003"]}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "title": "Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2677/a79b6381f3e7787c5dca884fa53d0b28dfe2.pdf"], "doi": []}, {"id": "5abb23a37cadda6194709196e650980bbf5bdd89", "title": "Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05959.pdf"], "doi": []}, {"id": "3f85020032ae335baf57aaf65c4831b67e4030c9", "title": "MonoPerfCap: Human Performance Capture From Monocular Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02136.pdf"], "doi": []}, {"id": "78dd8db25230f7001e86c94a6796b5e74f9d6e00", "title": "Action recognition in still images by learning spatial interest regions from videos", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2014.07.017", "https://www.wikidata.org/entity/Q58624272"]}, {"id": "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "title": "Articulated pose estimation via multiple mixture parts model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301801", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301801", "http://doi.org/10.1109/AVSS.2015.7301801"]}, {"id": "81eb804756f27d08f2d193d1074e58e1c5d263ca", "title": "Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81eb/804756f27d08f2d193d1074e58e1c5d263ca.pdf"], "doi": []}, {"id": "a90193d1dc557abe386c0836fb3f16642702df7a", "title": "Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect", "year": "2011", "pdf": ["http://www.comp.leeds.ac.uk/me/Publications/cdc4cv11.pdf", "http://www.jjcvision.com/publications/jcmecdc4cv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130387", "http://doi.org/10.1109/ICCVW.2011.6130387"]}, {"id": "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "title": "End-to-End Algorithm for Recovering Human 3D Model from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622918"]}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "title": "Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01055.pdf"], "doi": []}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "title": "Integrating Grammar and Segmentation for Human Pose Estimation", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d214.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Rothrock_Integrating_Grammar_and_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/Human_parsing_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619257", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.413", "http://doi.org/10.1109/CVPR.2013.413"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "181eb2a54f70d9d5355e7b91c2000bb236e35c40", "title": "Pose from Flow and Flow from Pose", "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Fragkiadaki_Pose_from_Flow_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c059.pdf", "http://www.cis.upenn.edu/~jshi/papers/CVPR2013_posefromflow.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Fragkiadaki_Pose_from_Flow_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~jshi/papers/CVPR2013_posefromflow.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619112", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.268", "http://doi.org/10.1109/CVPR.2013.268"]}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}, {"id": "37a892395061206b58127f04fee0e4d2db33803a", "title": "Holistic Human Pose Estimation with Regression Forests", "year": "2014", "pdf": ["http://campar.in.tum.de/pub/belagiannis2014amdo/belagiannis2014amdo.pdf", "http://campar.in.tum.de/pub/belagiannis2014amdo/belagiannis2014amdo.slides.pdf", "http://www.researchgate.net/profile/Vasileios_Belagiannis/publication/265298092_Holistic_Human_Pose_Estimation_with_Regression_Forests/links/5471a6f60cf2d67fc034527d.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-319-08849-5_3"], "doi": ["http://doi.org/10.1007/978-3-319-08849-5_3"]}, {"id": "03270297b85b4a5a0d3468767ece17446c97df1d", "title": "Incorporating Part Appearances Symmetry for Human Pose Estimation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281070"]}, {"id": "db6017d7f86188484f7927c3844f27088cb396ba", "title": "Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575396"]}]} \ No newline at end of file +{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "citations": [{"id": "06cfc431b70ec6a6783284953a668984600e77e2", "title": "A Framework for Human Pose Estimation in Videos", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07788.pdf"], "doi": []}, {"id": "4645c1135a824292d44c18db93b96c8402026c83", "title": "Deep Globally Constrained MRFs for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237637"]}, {"id": "82a7ee86e3a8a0cf5a0447cabe94150e30b01f25", "title": "Unsupervised learning of object detectors for everyday scenes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/82a7/ee86e3a8a0cf5a0447cabe94150e30b01f25.pdf"], "doi": []}, {"id": "39a2cdee78bd671a4ef203aa703e05232840ad83", "title": "Stochastic Image Grammars for Human Pose Estimation", "year": "2013", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt4wb9q6wb/qt4wb9q6wb.pdf?t=npfjcg"], "doi": ["https://www.base-search.net/Record/545e3981940c3c1fcad59d6c1f9b666fb07b3c33471e24aebb6745b36693d02b"]}, {"id": "b3ad5304072264ef0419b810d6ed0c69a109d5a5", "title": "Monocular 3D Human Pose Estimation by Predicting Depth on Joints", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Nie_Monocular_3D_Human_ICCV_2017_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2017/ICCV2017_3DPose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237635", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.373", "http://doi.org/10.1109/ICCV.2017.373"]}, {"id": "0f5bf2a208d262aa0469bd3185f6e2e56acada81", "title": "Pose Estimation and Segmentation of People in 3D Movies", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk3_pose.pdf", "http://lear.inrialpes.fr/people/alahari/papers/alahari13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Alahari_Pose_Estimation_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/13iccv_alahari.pdf", "https://hal.inria.fr/hal-00874884/file/paper14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751373", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.263", "http://doi.org/10.1109/ICCV.2013.263"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "5979acf247d8af73b41da0eab6d8a7eda1036c9a", "title": "A Fully-Convolutional Framework for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227388", "http://doi.org/10.1109/DICTA.2017.8227388"]}, {"id": "8f690751e82bd3aa3a6b142309d3010ed6d577ca", "title": "Chinese Traffic Police Gesture Recognition in Complex Scene", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6121004", "http://doi.ieeecomputersociety.org/10.1109/TrustCom.2011.208", "http://doi.org/10.1109/TrustCom.2011.208"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "1550c3835822843a02b2144cef8abc534441f5d4", "title": "Human Pose Classification within the Context of Near-IR Imagery Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1550/c3835822843a02b2144cef8abc534441f5d4.pdf"], "doi": []}, {"id": "2177f2a85f2f7b4b841c7a01bc74499005104aad", "title": "Learning person-object interactions for action recognition in still images", "year": "2011", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2011_0858.pdf", "http://papers.nips.cc/paper/4224-learning-person-object-interactions-for-action-recognition-in-still-images.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w05-fadime.pdf", "http://www.di.ens.fr/~josef/publications/delaitre11.pdf", "http://www.quaero.org/media/files/bibliographie/delaitre_learning_person-object_nips2011.pdf"], "doi": ["http://papers.nips.cc/paper/4224-learning-person-object-interactions-for-action-recognition-in-still-images"]}, {"id": "1deb7f96fc92d5c9e04d2cbb277473fee878e144", "title": "Cascaded Pyramid Network for Multi-person Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578840"]}, {"id": "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "title": "Human pose estimation via multi-layer composite models", "year": "2015", "pdf": ["http://vision.soic.indiana.edu/papers/humanpose2015sp.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2014.09.014"]}, {"id": "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "title": "Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images", "year": "2014", "pdf": ["http://e-collection.library.ethz.ch/eserv/eth:14547/eth-14547-01.pdf", "http://www.iai.uni-bonn.de/~gall/download/jgall_humanpose2d_extendedversion.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01078.pdf", "https://pages.iai.uni-bonn.de/gall_juergen/download/jgall_humanpose2d_pami14.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/89534/eth-14547-01.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6802375", "http://doi.org/10.1109/TPAMI.2014.2318702", "https://www.ncbi.nlm.nih.gov/pubmed/26353056", "https://www.wikidata.org/entity/Q40558807"]}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "5522073ebd53a6502cec9d716a77bb2c18aca593", "title": "Multi-view Body Part Recognition with Random Forests", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1b4a/0d40dc2a6f2f76e9aa2d60e121ff68cf4ce6.pdf"], "doi": []}, {"id": "3bd63bea64c770df5049879f4398e65f958ebd23", "title": "Predicting an Object Location Using a Global Image Representation", "year": "2013", "pdf": ["http://fire-id.gforge.inria.fr/_static/papers/iccv13_rodriguez.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Serrano_Predicting_an_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751325", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.217", "http://doi.org/10.1109/ICCV.2013.217"]}, {"id": "474c75016daf7324cee0b354cad5f657b59c1dcf", "title": "Image-Based Synthesis for Deep 3D Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04216.pdf"], "doi": []}, {"id": "299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37", "title": "Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02112.pdf"], "doi": []}, {"id": "62c9590d6a37a24e6ce7805a4b1fe20c8e502c5e", "title": "From motion capture to interactive virtual worlds: towards unconstrained motion-capture algorithms for real-time performance-driven character animation", "year": "2016", "pdf": ["https://diglib.eg.org/xmlui/bitstream/handle/10.2312/2631225/Rhodin.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.22028/D291-26685", "http://d-nb.info/1123071160"]}, {"id": "038251b7c6ffee94181dd6584ae2a923a6b0be07", "title": "LSTM Pose Machines", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578644"]}, {"id": "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "title": "Automatic Generation of Planar Marionettes from Frontal Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b4b6/a0129bf6a716fca80a4cfc322687a72fa927.pdf"], "doi": []}, {"id": "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "title": "In-Bed Pose Estimation: Deep Learning With Shallow Dataset", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611350"]}, {"id": "a0107238471816ac3b8fec32bb8499c082338593", "title": "Deep Refinement Convolutional Networks for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961775", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.148", "http://doi.org/10.1109/FG.2017.148"]}, {"id": "ea370d80391c3f4b05e04c2248d8656351b99773", "title": "Data-Driven Detection of Prominent Objects", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360192", "http://doi.org/10.1109/TPAMI.2015.2509988", "https://www.ncbi.nlm.nih.gov/pubmed/26700971", "https://www.wikidata.org/entity/Q31033789"]}, {"id": "03ee62090d89cffdd6fa26a12943c9eaf1de5d79", "title": "Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910026"]}, {"id": "89ee022431da849b4991e41c0894d7535008ae99", "title": "Poselet Conditioned Pictorial Structures", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Pishchulin_Poselet_Conditioned_Pictorial_2013_CVPR_paper.pdf", "http://datasets.d2.mpi-inf.mpg.de/leonid13cvpr/pishchulin13cvprPoster.pdf", "http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a588.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "https://www.d2.mpi-inf.mpg.de/sites/default/files/pishchulin13cvpr_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618926", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.82", "http://doi.org/10.1109/CVPR.2013.82"]}, {"id": "7fc2979d8efa6cf5af0c66ca2556a83d434690d0", "title": "Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes", "year": "2018", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI_Attribute_Grammar.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7990516", "http://doi.org/10.1109/TPAMI.2017.2731842", "https://www.ncbi.nlm.nih.gov/pubmed/28749346", "https://www.wikidata.org/entity/Q53102077"]}, {"id": "30b74c53bd7a9b364920e5074b52b3f737a71c89", "title": "Analysis and Our Approach 3 . 1 . Pose Machines : From Image to Video", "year": "2018", "pdf": [], "doi": []}, {"id": "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "title": "Robust human body segmentation based on part appearance and spatial constraint", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.003"]}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "title": "Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2677/a79b6381f3e7787c5dca884fa53d0b28dfe2.pdf"], "doi": []}, {"id": "5abb23a37cadda6194709196e650980bbf5bdd89", "title": "Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05959.pdf"], "doi": []}, {"id": "3f85020032ae335baf57aaf65c4831b67e4030c9", "title": "MonoPerfCap: Human Performance Capture From Monocular Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02136.pdf"], "doi": []}, {"id": "78dd8db25230f7001e86c94a6796b5e74f9d6e00", "title": "Action recognition in still images by learning spatial interest regions from videos", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2014.07.017", "https://www.wikidata.org/entity/Q58624272"]}, {"id": "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "title": "Articulated pose estimation via multiple mixture parts model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301801", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301801", "http://doi.org/10.1109/AVSS.2015.7301801"]}, {"id": "81eb804756f27d08f2d193d1074e58e1c5d263ca", "title": "Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81eb/804756f27d08f2d193d1074e58e1c5d263ca.pdf"], "doi": []}, {"id": "a90193d1dc557abe386c0836fb3f16642702df7a", "title": "Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect", "year": "2011", "pdf": ["http://www.comp.leeds.ac.uk/me/Publications/cdc4cv11.pdf", "http://www.jjcvision.com/publications/jcmecdc4cv11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130387", "http://doi.org/10.1109/ICCVW.2011.6130387"]}, {"id": "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "title": "End-to-End Algorithm for Recovering Human 3D Model from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622918"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "title": "Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01055.pdf"], "doi": []}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "title": "Integrating Grammar and Segmentation for Human Pose Estimation", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d214.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Rothrock_Integrating_Grammar_and_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/Human_parsing_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619257", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.413", "http://doi.org/10.1109/CVPR.2013.413"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "181eb2a54f70d9d5355e7b91c2000bb236e35c40", "title": "Pose from Flow and Flow from Pose", "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Fragkiadaki_Pose_from_Flow_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c059.pdf", "http://www.cis.upenn.edu/~jshi/papers/CVPR2013_posefromflow.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Fragkiadaki_Pose_from_Flow_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~jshi/papers/CVPR2013_posefromflow.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619112", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.268", "http://doi.org/10.1109/CVPR.2013.268"]}, {"id": "37a892395061206b58127f04fee0e4d2db33803a", "title": "Holistic Human Pose Estimation with Regression Forests", "year": "2014", "pdf": ["http://campar.in.tum.de/pub/belagiannis2014amdo/belagiannis2014amdo.pdf", "http://campar.in.tum.de/pub/belagiannis2014amdo/belagiannis2014amdo.slides.pdf", "http://www.researchgate.net/profile/Vasileios_Belagiannis/publication/265298092_Holistic_Human_Pose_Estimation_with_Regression_Forests/links/5471a6f60cf2d67fc034527d.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-319-08849-5_3"], "doi": ["http://doi.org/10.1007/978-3-319-08849-5_3"]}, {"id": "03270297b85b4a5a0d3468767ece17446c97df1d", "title": "Incorporating Part Appearances Symmetry for Human Pose Estimation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281070"]}, {"id": "db6017d7f86188484f7927c3844f27088cb396ba", "title": "Kinematic Pose Rectification for Performance Analysis and Retrieval in Sports", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575396"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/lfpw.json b/site/datasets/unknown/lfpw.json index 4db9aedc..3cb46399 100644 --- a/site/datasets/unknown/lfpw.json +++ b/site/datasets/unknown/lfpw.json @@ -1 +1 @@ -{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "citations": [{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "35756f711a97166df11202ebe46820a36704ae77", "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06434.pdf"], "doi": []}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "ec37378bf8634383943eaeb9513e1ac54a926939", "title": "Face Recognition with Local Binary Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ec37/378bf8634383943eaeb9513e1ac54a926939.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "7a8c2743db1749c2d9f16f62ee633574c1176e34", "title": "Face Photo-Sketch Synthesis and Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f87/e3212ab1d89c5d46924c925d6bb1da02f92b.pdf"], "doi": []}, {"id": "6974449ce544dc208b8cc88b606b03d95c8fd368", "title": "Local Evidence Aggregation for Regression-Based Facial Point Detection", "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/martinezvalstar-pami_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313593", "http://doi.org/10.1109/TPAMI.2012.205", "https://www.ncbi.nlm.nih.gov/pubmed/23520256", "https://www.wikidata.org/entity/Q45350347"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "25d3e122fec578a14226dc7c007fb1f05ddf97f7", "title": "The first facial expression recognition and analysis challenge", "year": "2011", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/pdf17.pdf", "https://archive-ouverte.unige.ch/files/downloads/0/0/0/9/8/4/9/3/unige_98493_attachment01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771374", "http://doi.ieeecomputersociety.org/10.1109/FG.2011.5771374", "http://doi.org/10.1109/FG.2011.5771374"]}, {"id": "e23dd37582dfc31c25a5df644e3d08986c650182", "title": "Scalable Tensor Factorizations for Incomplete Data", "year": "2011", "pdf": ["https://arxiv.org/pdf/1005.2197.pdf"], "doi": []}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "6993ef98db477c4501703f438d339435b05c789b", "title": "A simple photograph-based approach for discriminating between free-ranging long-finned ( Globicephala melas ) and short-finned ( G. macrorhynchus ) pilot whales off the east coast of the United States", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1111/j.1748-7692.2011.00488.x", "http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1310&context=usdeptcommercepub"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "195b61470720c7faa523e10e68d0c8d8f27d7c7a", "title": "Principal regression analysis", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995618", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995618", "http://doi.org/10.1109/CVPR.2011.5995618"]}, {"id": "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "title": "UMB-DB: A database of partially occluded 3D faces", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130509"]}, {"id": "cc44f1d99b17a049a8186ec04c6a1ecf1906c3c8", "title": "Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180175", "http://doi.org/10.1109/TPAMI.2012.87", "https://www.ncbi.nlm.nih.gov/pubmed/22487982", "https://www.wikidata.org/entity/Q43850601"]}, {"id": "da28c034e883a6ffe4e494e5affe9a1461b9bbca", "title": "Geographic patterns of genetic differentiation among killer whales in the northern North Pacific.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c10e/f6d428ba3904cdc726e0f45f224815baee72.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751351", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.243", "http://doi.org/10.1109/ICCV.2013.243"]}, {"id": "aeb36fac7516753a14c3c690f352de78e70f8c6e", "title": "Facial Expression Recognition Influenced by Human Aging", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6517179", "http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2013.13", "http://doi.org/10.1109/T-AFFC.2013.13"]}, {"id": "4209910f27a52c76af73f141fe620295cf92c01d", "title": "Construction of a Genetic Linkage Map and Genetic Analysis of Domestication Related Traits in Mungbean (Vigna radiata)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4209/910f27a52c76af73f141fe620295cf92c01d.pdf"], "doi": []}, {"id": "b558f5ae01e48f104a1d7f081df32b3497e64610", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237691"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf"], "doi": []}, {"id": "ffa4cd458ac6ba8581334f9a3e021414cb1dfb9e", "title": "The gestural repertoire of the wild chimpanzee", "year": "2011", "pdf": ["https://research-repository.st-andrews.ac.uk/bitstream/10023/4445/1/2011_HobaiterByrne_gesture_repertoire.pdf", "https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/4445/2011_HobaiterByrne_gesture_repertoire.pdf;jsessionid=2940087FBBEF1DCEF5F0E64EE6845569?sequence=1"], "doi": ["https://doi.org/10.1007/s10071-011-0409-2", "https://www.ncbi.nlm.nih.gov/pubmed/21533821"]}, {"id": "6b2a10bd60790f2e88be820f93d58a1b3b04c743", "title": "Automatic analysis of in-the-wild mobile eye-tracking experiments using object, face and person detection", "year": "2014", "pdf": ["http://www.eavise.be/papers/VISAPP2014.pdf", "http://www.scitepress.org/Papers/2014/47416/47416.pdf", "https://pdfs.semanticscholar.org/9682/f8e1b38cfa2c4512cdcb58b1b03a1c882d42.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294867", "http://doi.org/10.5220/0004741606250633"]}, {"id": "5aa1d92777a7aa29e279ef1dc9f25864aaa43a12", "title": "Lip Reading Sentences in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099850"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "b1a25f665cd18b2a22e5804a2a012af282d59f1b", "title": "Reading Text in the Wild with Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1842.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "5a51a18a63fc57cd9ef206bcfdb303933c2bcfb9", "title": "AppInsight: Mobile App Performance Monitoring in the Wild", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a51/a18a63fc57cd9ef206bcfdb303933c2bcfb9.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "d57982dc55dbed3d0f89589e319dc2d2bd598532", "title": "Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099760", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.277", "http://doi.org/10.1109/CVPR.2017.277"]}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "5f7c31c58f1b29bb1637e9f0ddd0ccd5617a8f2b", "title": "DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575262"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "152d9b73643197f237871b21ad8d431f8f763c08", "title": "Differential regulation of cellulose orientation at the inner and outer face of epidermal cells in the Arabidopsis hypocotyl.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5798/9af2745ae6bf5f019f778d7aa443f3790e03.pdf"], "doi": []}, {"id": "20e504782951e0c2979d9aec88c76334f7505393", "title": "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.08534.pdf"], "doi": []}, {"id": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "18f1143c64e6557c933b206fb8b2a7bd1f389afd", "title": "Rich Image Captioning in the Wild", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789551"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "f9fd5b189081bed3feea2cda00c0369a088767e6", "title": "Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3161192"]}, {"id": "516864605dcabe619a30824eb91f560a9d857331", "title": "Smile Detection in the Wild Based on Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373900"]}, {"id": "7d6e2d45340270b80d17c4869761c58ca7c9c489", "title": "Counting in the Wild", "year": "2016", "pdf": ["http://www.eccv2016.org/files/posters/P-3B-19.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Arteta16/arteta16.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Arteta16/poster.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46478-7_30"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"id": "bbd11e61e3743c6635ef4b9b03b863997209c73a", "title": "Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961744"]}, {"id": "2940e9d9204b7a1fd087243f0e4edac5f545cc73", "title": "Crop\u2010to\u2010wild gene flow and spatial genetic structure in the closest wild relatives of the cultivated apple", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29387162", "https://doi.org/10.1111/eva.12059", "https://prodinra.inra.fr/ft?id=16F22EBB-1043-453F-A3AF-EB9B8355C326"]}, {"id": "8e6d4b06addd2180716d4c642a26ac0f9d4243aa", "title": "Investigating genetic introgression from farmed red foxes into the wild population in Newfoundland, Canada", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s10592-016-0914-6"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "ea9e90048386f360006be8b5f70d029108cec9b6", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9d1/5d77fe43c05494ddf40bfe13c00d9af35c7a.pdf"], "doi": []}, {"id": "ebfaa69a0aaabe79752c8f14ca7a91232e1a7d2a", "title": "Aff-Wild: Valence and Arousal \u2018In-the-Wild\u2019 Challenge", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014982"]}, {"id": "1736b666cc1c4d5aab5f54299691b66f69669bc2", "title": "Low survival after release into the wild: assessing \u201cthe burden of captivity\u201d on Mallard physiology and behaviour", "year": "2011", "pdf": [], "doi": ["https://doi.org/10.1007/s10344-011-0573-3"]}, {"id": "325af39d281d5903a269c01fab8f53d7400a4c49", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099625"]}, {"id": "af403e5eaae305260283d2f301fa00402835ffa5", "title": "Directions robot: in-the-wild experiences and lessons learned", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ed05/5c3c6298db572b291f0e5742763db8a6fbce.pdf"], "doi": []}, {"id": "0bab5213911c19c40e936b08d2f8fba01e286b85", "title": "Cascaded Pose Regression Revisited: Face Alignment in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966763", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.81", "http://doi.org/10.1109/BigMM.2017.81"]}, {"id": "071099a4c3eed464388c8d1bff7b0538c7322422", "title": "Facial expression recognition in the wild using rich deep features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02487.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "a016fbe8d09402316c7b38946ccd502d76aa8c74", "title": "Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03866.pdf"], "doi": []}, {"id": "b7e0340688798c8cf684c5d0f2e71b9832d2856c", "title": "Evaluation of periocular features for kinship verification in the wild", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.009"]}, {"id": "87380b03f2c0a5f2c80b5a109c81405b0718c76d", "title": "The genomic landscape underlying phenotypic integrity in the face of gene flow in crows", "year": "2014", "pdf": ["http://pub.ist.ac.at/~payne/Poelstra_et_al-2014-Crows.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/29667/Poelstra_0-260687.pdf?isAllowed=y&sequence=3"], "doi": ["https://doi.org/10.1126/science.1253226", "https://www.ncbi.nlm.nih.gov/pubmed/24948738"]}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "3dd906bc0947e56d2b7bf9530b11351bbdff2358", "title": "The THUMOS Challenge on Action Recognition for Videos \"in the Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.06182.pdf"], "doi": []}, {"id": "3738de8951ddc2a4f7f1ab8c2b86c47b4e35d938", "title": "An Ethnobotanical investigation of traditional knowledge and uses of edible wild plants in the Umbria Region, Central Italy", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3738/de8951ddc2a4f7f1ab8c2b86c47b4e35d938.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "3fbb871ce1266a6aba8f4a9c0bf89c2a4e917aa0", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "2f16b13d8b118ba2cd35a13568149f6ddb22219d", "title": "Taming the Wild RubisCO: Explorations in Functional Metagenomics", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2f16/b13d8b118ba2cd35a13568149f6ddb22219d.pdf"], "doi": []}, {"id": "ff293f1db0d6360975853c7f2ce5e4196663b2d6", "title": "Cross-Media Learning for Image Sentiment Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265255"]}, {"id": "167f07b9d2babb8920acfa320ab04ee2758b5db6", "title": "Unsupervised metric learning for face identification in TV video", "year": "2011", "pdf": ["http://www.robots.ox.ac.uk/~vgg/rg/papers/metric_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126415", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126415", "http://doi.org/10.1109/ICCV.2011.6126415"]}, {"id": "ff6f2362d7df2e433ba3c18f7f7b76a47c194749", "title": "Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art", "year": "2016", "pdf": ["https://perceptual.mpi-inf.mpg.de/wp-content/blogs.dir/12/files/2016/06/fuhl16_mva.pdf"], "doi": ["https://doi.org/10.1007/s00138-016-0776-4"]}, {"id": "c0ad4cef162dad79d6e788ff0a566264229f25ac", "title": "Interruptions in the wild: portraying the handling of interruptions in manufacturing from a distributed cognition lens", "year": "2016", "pdf": ["http://his.diva-portal.org/smash/get/diva2:1060676/FULLTEXT02.pdf"], "doi": ["https://doi.org/10.1007/s10111-016-0399-6"]}, {"id": "7bad958aeb6f4e06296f342a50e052f2768de764", "title": "Pupil detection in the wild : An evaluation of the state of the art in mobile head-mounted eye tracking", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7bad/958aeb6f4e06296f342a50e052f2768de764.pdf"], "doi": []}, {"id": "d0e7b0b3dcea6aed5c746f9fab73d8b183dbb79e", "title": "Multimodal Sentiment Analysis in the Wild: Ethical considerations on Data Collection, Annotation, and Exploitation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d0e7/b0b3dcea6aed5c746f9fab73d8b183dbb79e.pdf"], "doi": []}, {"id": "bf25fc367e06ad417b25e4c3a8d8fef70ac37c28", "title": "Automatic Classification of a Taxon-Rich Community Recorded in the Wild", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bf25/fc367e06ad417b25e4c3a8d8fef70ac37c28.pdf"], "doi": []}, {"id": "2624d84503bc2f8e190e061c5480b6aa4d89277a", "title": "AFEW-VA database for valence and arousal estimation in-the-wild", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.02.001"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "1c340aec34c2333cdc5fc6ff28523228af1d7de7", "title": "In-the-wild chatbot corpus : from opinion analysis to interaction problem detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1c34/0aec34c2333cdc5fc6ff28523228af1d7de7.pdf"], "doi": []}, {"id": "c243497709a35c0a9c28344937bb4f1c62753d67", "title": "Where the wild things are: informal experience and ecological reasoning.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22548352", "https://doi.org/10.1111/j.1467-8624.2012.01751.x"]}, {"id": "1bb6718460253bf4c0c80bae657d6ff4a49dd27e", "title": "Robust Hand Detection and Classification in Vehicles and in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014893"]}, {"id": "33ef644ef5085237b4f529251d6c895d32d6052f", "title": "TasselNet: counting maize tassels in the wild via local counts regression network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02290.pdf"], "doi": []}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "8a85f0865930ea65239adb5ec2b97407c1446fa4", "title": "Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578150"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "11abc64a639bb402c3c0413c3793b84f0a4b7e57", "title": "Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614088"]}, {"id": "026e3363b7f76b51cc711886597a44d5f1fd1de2", "title": "Vision meets robotics: The KITTI dataset", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf"], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "5aaf311172b9778d78f6904fbe40124c63463b57", "title": "The Million Song Dataset", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5aaf/311172b9778d78f6904fbe40124c63463b57.pdf"], "doi": []}, {"id": "c069629a51f6c1c301eb20ed77bc6b586c24ce32", "title": "The Caltech-UCSD Birds-200-2011 Dataset", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c069/629a51f6c1c301eb20ed77bc6b586c24ce32.pdf"], "doi": []}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "cb59c9f57e884efb53d049af8c6aa18debab2d4c", "title": "Prediction and Localization of Student Engagement in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615851"]}, {"id": "c1d285c54b18834d4458c30669c24efae0fa7e9c", "title": "Analysis of Hand Segmentation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578593"]}, {"id": "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "title": "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10938.pdf"], "doi": []}, {"id": "ed7de328e2191463d42d745d8ac8f16024f95f25", "title": "Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237354"]}, {"id": "1169f3386a49daccbe199cccb518238a0130a537", "title": "Analyzing Complex Events and Human Actions in \"in-the-wild\" Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1169/f3386a49daccbe199cccb518238a0130a537.pdf"], "doi": []}, {"id": "e99b444b05cc1252bc131ddd46214c9e727f668c", "title": "3D Hand Shape and Pose from Images in the Wild", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03451.pdf"], "doi": []}, {"id": "7289a5d3704fa9de2860b925970550a41d2e038e", "title": "Integrated Deep Model for Face Detection and Landmark Localization From \u201cIn The Wild\u201d Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540344"]}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "442f09ddb5bb7ba4e824c0795e37cad754967208", "title": "Learning from Partial Labels", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8c29/513c2621c26ac8491bb763674db475fe58c6.pdf"], "doi": []}]} \ No newline at end of file +{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "citations": [{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, {"id": "35756f711a97166df11202ebe46820a36704ae77", "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06434.pdf"], "doi": []}, {"id": "0e3fcfe63b7b6620e3c47e9751fe3456e85cc52f", "title": "Robust Discriminative Response Map Fitting with Constrained Local Models", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619286"]}, {"id": "ec37378bf8634383943eaeb9513e1ac54a926939", "title": "Face Recognition with Local Binary Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ec37/378bf8634383943eaeb9513e1ac54a926939.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "7a8c2743db1749c2d9f16f62ee633574c1176e34", "title": "Face Photo-Sketch Synthesis and Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f87/e3212ab1d89c5d46924c925d6bb1da02f92b.pdf"], "doi": []}, {"id": "6974449ce544dc208b8cc88b606b03d95c8fd368", "title": "Local Evidence Aggregation for Regression-Based Facial Point Detection", "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/martinezvalstar-pami_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313593", "http://doi.org/10.1109/TPAMI.2012.205", "https://www.ncbi.nlm.nih.gov/pubmed/23520256", "https://www.wikidata.org/entity/Q45350347"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "25d3e122fec578a14226dc7c007fb1f05ddf97f7", "title": "The first facial expression recognition and analysis challenge", "year": "2011", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/pdf17.pdf", "https://archive-ouverte.unige.ch/files/downloads/0/0/0/9/8/4/9/3/unige_98493_attachment01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771374", "http://doi.ieeecomputersociety.org/10.1109/FG.2011.5771374", "http://doi.org/10.1109/FG.2011.5771374"]}, {"id": "e23dd37582dfc31c25a5df644e3d08986c650182", "title": "Scalable Tensor Factorizations for Incomplete Data", "year": "2011", "pdf": ["https://arxiv.org/pdf/1005.2197.pdf"], "doi": []}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "6993ef98db477c4501703f438d339435b05c789b", "title": "A simple photograph-based approach for discriminating between free-ranging long-finned ( Globicephala melas ) and short-finned ( G. macrorhynchus ) pilot whales off the east coast of the United States", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1111/j.1748-7692.2011.00488.x", "http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1310&context=usdeptcommercepub"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "0561bed18b6278434deae562d646e8adad72e75d", "title": "Low rank driven robust facial landmark regression", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.052"]}, {"id": "195b61470720c7faa523e10e68d0c8d8f27d7c7a", "title": "Principal regression analysis", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995618", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995618", "http://doi.org/10.1109/CVPR.2011.5995618"]}, {"id": "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "title": "UMB-DB: A database of partially occluded 3D faces", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130509"]}, {"id": "cc44f1d99b17a049a8186ec04c6a1ecf1906c3c8", "title": "Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180175", "http://doi.org/10.1109/TPAMI.2012.87", "https://www.ncbi.nlm.nih.gov/pubmed/22487982", "https://www.wikidata.org/entity/Q43850601"]}, {"id": "da28c034e883a6ffe4e494e5affe9a1461b9bbca", "title": "Geographic patterns of genetic differentiation among killer whales in the northern North Pacific.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c10e/f6d428ba3904cdc726e0f45f224815baee72.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751351", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.243", "http://doi.org/10.1109/ICCV.2013.243"]}, {"id": "aeb36fac7516753a14c3c690f352de78e70f8c6e", "title": "Facial Expression Recognition Influenced by Human Aging", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6517179", "http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2013.13", "http://doi.org/10.1109/T-AFFC.2013.13"]}, {"id": "b558f5ae01e48f104a1d7f081df32b3497e64610", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237691"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf"], "doi": []}, {"id": "ffa4cd458ac6ba8581334f9a3e021414cb1dfb9e", "title": "The gestural repertoire of the wild chimpanzee", "year": "2011", "pdf": ["https://research-repository.st-andrews.ac.uk/bitstream/10023/4445/1/2011_HobaiterByrne_gesture_repertoire.pdf", "https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/4445/2011_HobaiterByrne_gesture_repertoire.pdf;jsessionid=2940087FBBEF1DCEF5F0E64EE6845569?sequence=1"], "doi": ["https://doi.org/10.1007/s10071-011-0409-2", "https://www.ncbi.nlm.nih.gov/pubmed/21533821"]}, {"id": "6b2a10bd60790f2e88be820f93d58a1b3b04c743", "title": "Automatic analysis of in-the-wild mobile eye-tracking experiments using object, face and person detection", "year": "2014", "pdf": ["http://www.eavise.be/papers/VISAPP2014.pdf", "http://www.scitepress.org/Papers/2014/47416/47416.pdf", "https://pdfs.semanticscholar.org/9682/f8e1b38cfa2c4512cdcb58b1b03a1c882d42.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294867", "http://doi.org/10.5220/0004741606250633"]}, {"id": "5aa1d92777a7aa29e279ef1dc9f25864aaa43a12", "title": "Lip Reading Sentences in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099850"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "b1a25f665cd18b2a22e5804a2a012af282d59f1b", "title": "Reading Text in the Wild with Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1842.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "d57982dc55dbed3d0f89589e319dc2d2bd598532", "title": "Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099760", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.277", "http://doi.org/10.1109/CVPR.2017.277"]}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "5f7c31c58f1b29bb1637e9f0ddd0ccd5617a8f2b", "title": "DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575262"]}, {"id": "94aa8a3787385b13ee7c4fdd2b2b2a574ffcbd81", "title": "Real-time generic face tracking in the wild with CUDA", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2579369"]}, {"id": "152d9b73643197f237871b21ad8d431f8f763c08", "title": "Differential regulation of cellulose orientation at the inner and outer face of epidermal cells in the Arabidopsis hypocotyl.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5798/9af2745ae6bf5f019f778d7aa443f3790e03.pdf"], "doi": []}, {"id": "20e504782951e0c2979d9aec88c76334f7505393", "title": "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.08534.pdf"], "doi": []}, {"id": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "18f1143c64e6557c933b206fb8b2a7bd1f389afd", "title": "Rich Image Captioning in the Wild", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789551"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "f9fd5b189081bed3feea2cda00c0369a088767e6", "title": "Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3161192"]}, {"id": "516864605dcabe619a30824eb91f560a9d857331", "title": "Smile Detection in the Wild Based on Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373900"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"id": "bbd11e61e3743c6635ef4b9b03b863997209c73a", "title": "Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961744"]}, {"id": "2940e9d9204b7a1fd087243f0e4edac5f545cc73", "title": "Crop\u2010to\u2010wild gene flow and spatial genetic structure in the closest wild relatives of the cultivated apple", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29387162", "https://doi.org/10.1111/eva.12059", "https://prodinra.inra.fr/ft?id=16F22EBB-1043-453F-A3AF-EB9B8355C326"]}, {"id": "8e6d4b06addd2180716d4c642a26ac0f9d4243aa", "title": "Investigating genetic introgression from farmed red foxes into the wild population in Newfoundland, Canada", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s10592-016-0914-6"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "ea9e90048386f360006be8b5f70d029108cec9b6", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9d1/5d77fe43c05494ddf40bfe13c00d9af35c7a.pdf"], "doi": []}, {"id": "ebfaa69a0aaabe79752c8f14ca7a91232e1a7d2a", "title": "Aff-Wild: Valence and Arousal \u2018In-the-Wild\u2019 Challenge", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014982"]}, {"id": "1736b666cc1c4d5aab5f54299691b66f69669bc2", "title": "Low survival after release into the wild: assessing \u201cthe burden of captivity\u201d on Mallard physiology and behaviour", "year": "2011", "pdf": [], "doi": ["https://doi.org/10.1007/s10344-011-0573-3"]}, {"id": "325af39d281d5903a269c01fab8f53d7400a4c49", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099625"]}, {"id": "0bab5213911c19c40e936b08d2f8fba01e286b85", "title": "Cascaded Pose Regression Revisited: Face Alignment in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966763", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.81", "http://doi.org/10.1109/BigMM.2017.81"]}, {"id": "071099a4c3eed464388c8d1bff7b0538c7322422", "title": "Facial expression recognition in the wild using rich deep features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02487.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "a016fbe8d09402316c7b38946ccd502d76aa8c74", "title": "Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03866.pdf"], "doi": []}, {"id": "b7e0340688798c8cf684c5d0f2e71b9832d2856c", "title": "Evaluation of periocular features for kinship verification in the wild", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.009"]}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "3dd906bc0947e56d2b7bf9530b11351bbdff2358", "title": "The THUMOS Challenge on Action Recognition for Videos \"in the Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.06182.pdf"], "doi": []}, {"id": "3738de8951ddc2a4f7f1ab8c2b86c47b4e35d938", "title": "An Ethnobotanical investigation of traditional knowledge and uses of edible wild plants in the Umbria Region, Central Italy", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3738/de8951ddc2a4f7f1ab8c2b86c47b4e35d938.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "3fbb871ce1266a6aba8f4a9c0bf89c2a4e917aa0", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "ff293f1db0d6360975853c7f2ce5e4196663b2d6", "title": "Cross-Media Learning for Image Sentiment Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265255"]}, {"id": "167f07b9d2babb8920acfa320ab04ee2758b5db6", "title": "Unsupervised metric learning for face identification in TV video", "year": "2011", "pdf": ["http://www.robots.ox.ac.uk/~vgg/rg/papers/metric_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126415", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126415", "http://doi.org/10.1109/ICCV.2011.6126415"]}, {"id": "ff6f2362d7df2e433ba3c18f7f7b76a47c194749", "title": "Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art", "year": "2016", "pdf": ["https://perceptual.mpi-inf.mpg.de/wp-content/blogs.dir/12/files/2016/06/fuhl16_mva.pdf"], "doi": ["https://doi.org/10.1007/s00138-016-0776-4"]}, {"id": "c0ad4cef162dad79d6e788ff0a566264229f25ac", "title": "Interruptions in the wild: portraying the handling of interruptions in manufacturing from a distributed cognition lens", "year": "2016", "pdf": ["http://his.diva-portal.org/smash/get/diva2:1060676/FULLTEXT02.pdf"], "doi": ["https://doi.org/10.1007/s10111-016-0399-6"]}, {"id": "7bad958aeb6f4e06296f342a50e052f2768de764", "title": "Pupil detection in the wild : An evaluation of the state of the art in mobile head-mounted eye tracking", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7bad/958aeb6f4e06296f342a50e052f2768de764.pdf"], "doi": []}, {"id": "bf25fc367e06ad417b25e4c3a8d8fef70ac37c28", "title": "Automatic Classification of a Taxon-Rich Community Recorded in the Wild", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bf25/fc367e06ad417b25e4c3a8d8fef70ac37c28.pdf"], "doi": []}, {"id": "2624d84503bc2f8e190e061c5480b6aa4d89277a", "title": "AFEW-VA database for valence and arousal estimation in-the-wild", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/afew-va.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.02.001"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "1c340aec34c2333cdc5fc6ff28523228af1d7de7", "title": "In-the-wild chatbot corpus : from opinion analysis to interaction problem detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1c34/0aec34c2333cdc5fc6ff28523228af1d7de7.pdf"], "doi": []}, {"id": "c243497709a35c0a9c28344937bb4f1c62753d67", "title": "Where the wild things are: informal experience and ecological reasoning.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22548352", "https://doi.org/10.1111/j.1467-8624.2012.01751.x"]}, {"id": "1bb6718460253bf4c0c80bae657d6ff4a49dd27e", "title": "Robust Hand Detection and Classification in Vehicles and in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014893"]}, {"id": "33ef644ef5085237b4f529251d6c895d32d6052f", "title": "TasselNet: counting maize tassels in the wild via local counts regression network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02290.pdf"], "doi": []}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "8a85f0865930ea65239adb5ec2b97407c1446fa4", "title": "Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578150"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "11abc64a639bb402c3c0413c3793b84f0a4b7e57", "title": "Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614088"]}, {"id": "026e3363b7f76b51cc711886597a44d5f1fd1de2", "title": "Vision meets robotics: The KITTI dataset", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/026e/3363b7f76b51cc711886597a44d5f1fd1de2.pdf"], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "5aaf311172b9778d78f6904fbe40124c63463b57", "title": "The Million Song Dataset", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5aaf/311172b9778d78f6904fbe40124c63463b57.pdf"], "doi": []}, {"id": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "cb59c9f57e884efb53d049af8c6aa18debab2d4c", "title": "Prediction and Localization of Student Engagement in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615851"]}, {"id": "c1d285c54b18834d4458c30669c24efae0fa7e9c", "title": "Analysis of Hand Segmentation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578593"]}, {"id": "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "title": "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10938.pdf"], "doi": []}, {"id": "ed7de328e2191463d42d745d8ac8f16024f95f25", "title": "Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237354"]}, {"id": "1169f3386a49daccbe199cccb518238a0130a537", "title": "Analyzing Complex Events and Human Actions in \"in-the-wild\" Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1169/f3386a49daccbe199cccb518238a0130a537.pdf"], "doi": []}, {"id": "7289a5d3704fa9de2860b925970550a41d2e038e", "title": "Integrated Deep Model for Face Detection and Landmark Localization From \u201cIn The Wild\u201d Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8540344"]}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "442f09ddb5bb7ba4e824c0795e37cad754967208", "title": "Learning from Partial Labels", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8c29/513c2621c26ac8491bb763674db475fe58c6.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/megaface.json b/site/datasets/unknown/megaface.json index 8f7b334f..3b2c2f34 100644 --- a/site/datasets/unknown/megaface.json +++ b/site/datasets/unknown/megaface.json @@ -1 +1 @@ -{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "citations": [{"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "ad8e7b7349e15c4592aa2c18ce79f77671084781", "title": "Fast Face Image Synthesis With Minimal Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658792"]}, {"id": "eb4be3c7711935c936cb6755e0873cb1492af71e", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "4d3fbeb69ee1207d47b182dd88bdd82791f1c17d", "title": "Performance Comparison of Face Detection and Recognition Algorithms", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4d3f/beb69ee1207d47b182dd88bdd82791f1c17d.pdf"], "doi": []}]} \ No newline at end of file +{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "citations": [{"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}, {"id": "ad8e7b7349e15c4592aa2c18ce79f77671084781", "title": "Fast Face Image Synthesis With Minimal Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658792"]}, {"id": "eb4be3c7711935c936cb6755e0873cb1492af71e", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "4d3fbeb69ee1207d47b182dd88bdd82791f1c17d", "title": "Performance Comparison of Face Detection and Recognition Algorithms", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4d3f/beb69ee1207d47b182dd88bdd82791f1c17d.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/msceleb.json b/site/datasets/unknown/msceleb.json index e80b9ee8..288c20b8 100644 --- a/site/datasets/unknown/msceleb.json +++ b/site/datasets/unknown/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "citations": [{"id": "3dc522a6576c3475e4a166377cbbf4ba389c041f", "title": "The iNaturalist Challenge 2017 Dataset.", "year": "2017", "pdf": [], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "779904cb019c9d622b90948c99aded91cab9524a", "title": "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3290598"]}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "4a56d3240a924240c2392c0d5dea8715f6715277", "title": "Under review as a conference paper at ICLR 2019 Sampled Latents D iscrim inator G enerator Real Images Real or Fake ? Generated Images Contrastive Loss Pull Push", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4a56/d3240a924240c2392c0d5dea8715f6715277.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "title": "Scalable Object Detection for Stylized Objects", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09822.pdf"], "doi": []}, {"id": "8509abbde2f4b42dc26a45cafddcccb2d370712f", "title": "A way to improve precision of face recognition in SIPP without retrain of the deep neural network model", "year": "2017", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "3e3227c8e9f44593d2499f4d1302575c77977b2e", "title": "Facial Expression Recognition Using a Large Out-of-Context Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347112", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00012", "http://doi.org/10.1109/WACVW.2018.00012"]}, {"id": "7b7d29d7e312785827a4d2231b71b4e35096a01c", "title": "MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.2352/ISSN.2470-1173.2016.11.IMAWM-463"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "0bfee28960fe3318600e3540ef8cdc6cbe9eeed3", "title": "Squeeze-and-Excitation Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578843"]}, {"id": "d0818dac77eee5b970736e57a478bcedfb1b15fe", "title": "KVQA : Knowledge-aware Visual Question Answering", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d081/8dac77eee5b970736e57a478bcedfb1b15fe.pdf"], "doi": []}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "00f17b623cea39b09a543b0380e9e1291035d956", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "4e727474c8b28bcac124d33f2ad6b9eb151cf9fc", "title": "APA: Adaptive Pose Alignment for Pose-Invariant Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8620989"]}, {"id": "e89cf011bb543137b961807924e0b765d536aa98", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "4da4642ac4c1fcfbecd622dad485307b8d30ed2b", "title": "Deep representation for partially occluded face verification", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0379-2"], "doi": ["https://doi.org/10.1186/s13640-018-0379-2"]}, {"id": "20a64c3d0d2108bc5fc7b0bbd11ad941734d5f2b", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565895"]}, {"id": "f3add06155e270229a39da74fea57e1b60e17eb8", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "2dcf8e993873514b6a9673d56474904fa7e54664", "title": "Probabilistic Face Embeddings", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "87f7dcc5668278fcd7c9461352aa68463005b3f0", "title": "Large-Scale Bisample Learning on ID Versus Spot Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "c43d3ad956118ea1d26d39903097e2db86eae822", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}, {"id": "faa27bfb44f775975f40900457df73587164f4fe", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/btas.2017.8272731"]}]} \ No newline at end of file +{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "citations": [{"id": "3dc522a6576c3475e4a166377cbbf4ba389c041f", "title": "The iNaturalist Challenge 2017 Dataset.", "year": "2017", "pdf": [], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "779904cb019c9d622b90948c99aded91cab9524a", "title": "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3290598"]}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "4a56d3240a924240c2392c0d5dea8715f6715277", "title": "Under review as a conference paper at ICLR 2019 Sampled Latents D iscrim inator G enerator Real Images Real or Fake ? Generated Images Contrastive Loss Pull Push", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4a56/d3240a924240c2392c0d5dea8715f6715277.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "title": "Scalable Object Detection for Stylized Objects", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09822.pdf"], "doi": []}, {"id": "8509abbde2f4b42dc26a45cafddcccb2d370712f", "title": "A way to improve precision of face recognition in SIPP without retrain of the deep neural network model", "year": "2017", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "3e3227c8e9f44593d2499f4d1302575c77977b2e", "title": "Facial Expression Recognition Using a Large Out-of-Context Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347112", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00012", "http://doi.org/10.1109/WACVW.2018.00012"]}, {"id": "7b7d29d7e312785827a4d2231b71b4e35096a01c", "title": "MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.2352/ISSN.2470-1173.2016.11.IMAWM-463"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "0bfee28960fe3318600e3540ef8cdc6cbe9eeed3", "title": "Squeeze-and-Excitation Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578843"]}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "00f17b623cea39b09a543b0380e9e1291035d956", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "4e727474c8b28bcac124d33f2ad6b9eb151cf9fc", "title": "APA: Adaptive Pose Alignment for Pose-Invariant Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8620989"]}, {"id": "e89cf011bb543137b961807924e0b765d536aa98", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "4da4642ac4c1fcfbecd622dad485307b8d30ed2b", "title": "Deep representation for partially occluded face verification", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0379-2"], "doi": ["https://doi.org/10.1186/s13640-018-0379-2"]}, {"id": "20a64c3d0d2108bc5fc7b0bbd11ad941734d5f2b", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565895"]}, {"id": "87f7dcc5668278fcd7c9461352aa68463005b3f0", "title": "Large-Scale Bisample Learning on ID Versus Spot Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "faa27bfb44f775975f40900457df73587164f4fe", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/btas.2017.8272731"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/oxford_town_centre.json b/site/datasets/unknown/oxford_town_centre.json index 9aa350e8..f7a0be1e 100644 --- a/site/datasets/unknown/oxford_town_centre.json +++ b/site/datasets/unknown/oxford_town_centre.json @@ -1 +1 @@ -{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "citations": [{"id": "b58417561ea400b60bd976104e43b1361e1314ba", "title": "Target Tracking In Real Time Surveillance Cameras and Videos", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06659.pdf"], "doi": []}, {"id": "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", "title": "MCMC Supervision for People Re-identification in Nonoverlapping Cameras", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a997/1dbf42b913503198e63286b7656a6b62b1f5.pdf"], "doi": []}, {"id": "784705fdf2c412fcf764841b980cfb85ef3944c1", "title": "A Complete Variational Tracker", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7847/05fdf2c412fcf764841b980cfb85ef3944c1.pdf"], "doi": []}, {"id": "4452c36dc4c5e9f11d041489c8ff2e7006d33c80", "title": "A Computational Analysis of Recent Multi-Object Tracking Methods Based on Particle Filter , HMM and Appearance Information of Objects", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4452/c36dc4c5e9f11d041489c8ff2e7006d33c80.pdf"], "doi": []}, {"id": "6795a5a06790ee4fbe5b873b563b34b0be6ad6b3", "title": "LSTM-based multi-label video event detection", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5532-x"]}, {"id": "6106028c73d22570a01212814e1e4f4edb4abed6", "title": "Counting moving people in crowds using motion statistics of feature-points", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6106/028c73d22570a01212814e1e4f4edb4abed6.pdf"], "doi": ["http://doi.org/10.1007/s11042-013-1367-2"]}, {"id": "1db11bd3e2d0794cbb0fab25508b494e0f0a46ea", "title": "Multi-target tracking by online learning of non-linear motion patterns and robust appearance models", "year": "2012", "pdf": ["http://iris.usc.edu/Outlines/papers/2012/yang-nevatia-cvpr-1-2012.pdf", "http://iris.usc.edu/people/yangbo/papers/CVPR12_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247892", "http://doi.org/10.1109/CVPR.2012.6247892"]}, {"id": "d7df298c94b33bc500f97406313fad1d5ed7060f", "title": "Learning pedestrian dynamics with kriging", "year": "2016", "pdf": ["https://www.computer.org/csdl/proceedings/icis/2016/0806/00/07550877.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550877", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2016.7550877", "http://doi.org/10.1109/ICIS.2016.7550877"]}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395274", "http://doi.org/10.1109/ACCESS.2018.2850284", "https://doi.org/10.1109/ACCESS.2018.2850284"]}, {"id": "26d25c21a4da2429d5b923b86410ad73320d61ba", "title": "Stereo Reconstruction of Droplet Flight Trajectories", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888516", "http://doi.org/10.1109/TPAMI.2014.2353638", "https://www.ncbi.nlm.nih.gov/pubmed/26353298", "https://www.wikidata.org/entity/Q40558253"]}, {"id": "a518ca2df1b74e3080c93cea11e4b769c82d33eb", "title": "SAGTA: Semi-automatic Ground Truth Annotation in crowd scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890539", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2014.6890539", "http://doi.org/10.1109/ICMEW.2014.6890539"]}, {"id": "498c8abcef3b709be97167ea5870e85d0c586945", "title": "SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354239", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00135", "http://doi.org/10.1109/WACV.2018.00135"]}, {"id": "82fb85517ee1bb3746348221de3d5347c6b3ed0e", "title": "Markov chain Monte Carlo based video tracking algorithm", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768817040053"]}, {"id": "715d3eb3665f46cd2fab74d35578a72aafbad799", "title": "A Peak Detection Method for Understanding User States for Empathetic Intelligent Agents", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2569320"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "year": "2016", "pdf": ["http://homepages.laas.fr/lerasle/pdf/eccv2016.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46484-8_47", "https://hal.laas.fr/hal-01763166/document"]}, {"id": "7e53ab07d0ce28484830329036a1fc018b9644dd", "title": "Online multiple people tracking-by-detection in crowded scenes", "year": "2014", "pdf": ["http://jacet.srbiau.ac.ir/pdf_6708_d824303654a6fd0f7d67304a2e93c7b3.html"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000725", "http://doi.org/10.1109/ISTEL.2014.7000725"]}, {"id": "273b973092a4491974d173cc5258c74aede692cc", "title": "Monocular Long-Term Target Following on UAVs", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w3/papers/Li_Monocular_Long-Term_Target_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789501", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.11", "http://doi.org/10.1109/CVPRW.2016.11"]}, {"id": "256c91400aa7e92160c889654614f70213947f06", "title": "Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.7484.pdf"], "doi": []}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "73596313fe0a93c2c0ea345ce854517140b9eb1d", "title": "Sampling Operator to Learn the Scalable Correlation Filter for Visual Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8613772"]}, {"id": "a09c071f8468897176ce4351de36e7c8b7c2dea6", "title": "Object Tracking over a Multiple-Camera Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153895", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.53", "http://doi.org/10.1109/BigMM.2015.53"]}, {"id": "ceb9a051f1273c7159aca80891f21ca3357b68ab", "title": "DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976927", "http://doi.org/10.1109/ICPR.2014.217"]}, {"id": "ac611487ad19e0ff182890ed567c449bfaabd0f4", "title": "Beyond Pedestrians: A Hybrid Approach of Tracking Multiple Articulating Humans", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045879", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.25", "http://doi.org/10.1109/WACV.2015.25"]}, {"id": "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "title": "Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "24f367315bdb96ac001d568b8e2c0ff022845ca5", "title": "MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976928", "http://doi.org/10.1109/ICPR.2014.218"]}, {"id": "bb7c093c41fcec269b6a7a950902cc95429bb289", "title": "Robust video object tracking via Bayesian model averaging based feature fusion", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00475.pdf"], "doi": []}, {"id": "35af45f799c65d21bbb3cd24f666de861bad33b0", "title": "Multi-Target Tracking by Discrete-Continuous Energy Minimization", "year": "2016", "pdf": ["http://www.milanton.de/files/pami2016/pami2016-anton.pdf", "http://www.visinf.tu-darmstadt.de/media/visinf/vi_papers/2015/milan-pami-preprint.pdf", "https://download.visinf.tu-darmstadt.de/papers/2016-pami-milan-multi_target_tracking_dc-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346505", "http://doi.org/10.1109/TPAMI.2015.2505309", "https://www.ncbi.nlm.nih.gov/pubmed/26660703", "https://www.wikidata.org/entity/Q40218457"]}, {"id": "66c4f727e9d6caccc4d3154de174258ce63b9a35", "title": "Demo paper: Summarization system for movements of multiple objects", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618234", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2013.6618234", "http://doi.org/10.1109/ICMEW.2013.6618234"]}, {"id": "8e0b92b7ccf6a2d110011b79637d257805d8c96e", "title": "Visual Tracking: An Experimental Survey", "year": "2013", "pdf": ["http://crcv.ucf.edu/papers/Tracking_Survey.pdf", "http://crcv.ucf.edu/papers/trackerSurvey.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/SmeuldersTPAMI2014/SmeuldersTPAMI2014.pdf", "https://pure.uva.nl/ws/files/2110600/156976_SmeuldersTPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6671560", "http://doi.org/10.1109/TPAMI.2013.230", "https://www.ncbi.nlm.nih.gov/pubmed/24277945", "https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://www.wikidata.org/entity/Q40558209"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "23515e0f5fbcba94dc78e719c127ea42d087c81d", "title": "A Fast and Robust Pedestrian Detection Framework Based on Static and Dynamic Information", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Hong_Liu17/publication/230731207_A_fast_pedestrian_detection_framework_based_on_static_and_dynamic_information/links/0fcfd5100fd1f3baa9000000.pdf", "http://www.z-wang.com/publications/2012_icme_xu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298405", "http://doi.ieeecomputersociety.org/10.1109/ICME.2012.66", "http://doi.org/10.1109/ICME.2012.66"]}, {"id": "78d7fe93404686eeaefce0aa3d9200272c0f4413", "title": "Single/cross-camera multiple-person tracking by graph matching", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.02.040"]}, {"id": "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "title": "Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528315", "http://doi.org/10.1109/ACCESS.2018.2879535"]}, {"id": "98220d35ae6a3ba745f7dea1434f000ca60c62c0", "title": "Multi-object Tracking using Particle Swarm Optimization on Target Interactions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9822/0d35ae6a3ba745f7dea1434f000ca60c62c0.pdf"], "doi": []}, {"id": "0e181a1b4c63143466c9ac858d46491f1ad11092", "title": "Track Creation and Deletion Framework for Long-Term Online Multiface Tracking", "year": "2013", "pdf": ["http://liris.cnrs.fr/Documents/Liris-6297.pdf", "http://publications.idiap.ch/downloads/papers/2012/Duffner_IEEE-IP_2012.pdf", "https://infoscience.epfl.ch/record/192398/files/Duffner_IEEE-IP_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248702", "http://doi.org/10.1109/TIP.2012.2210238", "https://www.ncbi.nlm.nih.gov/pubmed/22851262", "https://www.wikidata.org/entity/Q46393382"]}, {"id": "a7e20614f707cd8fb02cec5ba60ffcf48ea66d92", "title": "Faster R-CNN Scene Specialization with a Sequential Monte-Carlo Framework", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797042", "http://doi.org/10.1109/DICTA.2016.7797042"]}, {"id": "909f91c1957ce2bf9d76ee2109a865e87bf17057", "title": "GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d95d/505a959c9fc8090cb84287dce92128fce63e.pdf"], "doi": []}, {"id": "d1e8a08aafc64661206c495e963e0b244dfe59cd", "title": "R 4-A . 1 : Dynamics-Based Video Analytics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa42/0d32c48a3fd526a91285673cd55ca9fe2447.pdf"], "doi": []}, {"id": "c04236e02381fb8e084069559e92900d4ec1af7a", "title": "Effective real-time vehicle tracking using discriminative sparse coding on local patches", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.25.1.013035"]}, {"id": "244377600b1474e1da3b86a08683e629990d1417", "title": "Embedded Vision System for Atmospheric Turbulence Mitigation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w14/papers/Deshmukh_Embedded_Vision_System_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789602", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.112", "http://doi.org/10.1109/CVPRW.2016.112"]}, {"id": "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "title": "R\u00e9-identification de personnes : Application aux r\u00e9seaux de cam\u00e9ras \u00e0 champs disjoints", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e0f3/b8cbf90096bb0d4b36324c6fe7db89f580b9.pdf"], "doi": []}, {"id": "a7d09489ce188979fb7767f43f27240ece05aa33", "title": "Fast Pedestrian Detection in Surveillance Video Based on Soft Target Training of Shallow Random Forest", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8610075"]}, {"id": "3cb0c82dec438987269f08a4b09235c53bffe293", "title": "Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos", "year": "2017", "pdf": ["https://pure.strath.ac.uk/ws/portalfiles/portal/70894449/Yan_etal_CC_2017_Cognitive_fusion_of_thermal_and_visible_imagery_for_effective_detection.pdf", "https://strathprints.strath.ac.uk/62462/8/Yan_etal_CC_2017_Cognitive_fusion_of_thermal_and_visible_imagery_for_effective_detection.pdf"], "doi": ["https://doi.org/10.1007/s12559-017-9529-6"]}, {"id": "04bb0a1ccca86a4c1084fc7472ea07189c110aa7", "title": "Tracking Interacting Objects Using Intertwined Flows", "year": "2016", "pdf": ["https://infoscience.epfl.ch/record/210040/files/top_submit_infosc.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368937", "http://doi.org/10.1109/TPAMI.2015.2513406", "https://www.ncbi.nlm.nih.gov/pubmed/26731639", "https://www.wikidata.org/entity/Q48635205"]}, {"id": "71bc8a1c19137ab9bc0b5926afb77ee76aac9057", "title": "Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07203.pdf"], "doi": []}, {"id": "a44b91f46ba66c8279b93caab6842444de0c9343", "title": "Frequency-domain Tracking Spatial-domain Detection Generic Object Proposal Histogram based Representation Detection Result Tracking State Estimation Spatial Regressor Correlation Model IFFT Search Space Feature Extraction Correlation Map Correlation Model FFT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a44b/91f46ba66c8279b93caab6842444de0c9343.pdf"], "doi": []}, {"id": "d0c75482c5d2d0c1c860fe6f46bf72767bd02848", "title": "People detection and articulated pose estimation framework for crowded scenes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.knosys.2017.06.001"]}, {"id": "b8a829b30381106b806066d40dd372045d49178d", "title": "A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation", "year": "2015", "pdf": ["http://gavrila.net/tits15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7010032", "http://doi.org/10.1109/TITS.2014.2379441"]}, {"id": "8bd8969d1de5a9e47c5a99c23a9faa8413cab72f", "title": "High Level Event Detection based on Spatial Occupancy and Interpersonal Relationships DOI: 10.14209/jcis.2015.8", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.14209/jcis.v30i1.97", "https://jcis.sbrt.org.br/jcis/article/download/97/269"]}, {"id": "449a170266998d364b960df58506981920c732bc", "title": "Abnormal behavior detection in LWIR surveillance of railway platforms", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078540", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078540", "http://doi.org/10.1109/AVSS.2017.8078540"]}, {"id": "10c077bf2dd1bed928926feb37837862ab786808", "title": "Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/10c0/77bf2dd1bed928926feb37837862ab786808.pdf"], "doi": []}, {"id": "32d072ce790b62750fbe343d9dd8620939d84975", "title": "Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "97ee35db6b389a7bcc4b7975d12dbcd165226aad", "title": "Structured Learning of Human Interactions in TV Shows", "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/ActiveVision/Papers/patron_etal_tpami2012/patron_etal_tpami2012.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/PatronPerez12/patronperez12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133287", "http://doi.org/10.1109/TPAMI.2012.24", "https://www.ncbi.nlm.nih.gov/pubmed/23079467", "https://www.wikidata.org/entity/Q48761119"]}, {"id": "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "title": "Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360186", "http://doi.org/10.1109/TPAMI.2015.2509979", "https://www.ncbi.nlm.nih.gov/pubmed/26700969", "https://www.wikidata.org/entity/Q48636655"]}, {"id": "a8ed00afc46064b18a6bcc7aa282e554891eacf2", "title": "Underwater image restoration: super-resolution and deblurring via sparse representation and denoising by means of marine snow removal", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8ed/00afc46064b18a6bcc7aa282e554891eacf2.pdf"], "doi": []}, {"id": "adcdebf739d1f911a3ab26ca6f496b7789bcf5ac", "title": "Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection", "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BLKBD14/unsupervised.pdf", "http://www.micc.unifi.it/wp-content/uploads/2016/01/2014_unsupervised_scene_adaptation.pdf", "http://www.sveborkaraman.com/wp-content/papercite-data/slides/bartoliicpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977320", "http://doi.org/10.1109/ICPR.2014.608"]}, {"id": "25252e21edb700772ae7bee300c070024c4e87ae", "title": "Online Tracking of People through a Camera Network", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128723", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2011.103", "http://doi.org/10.1109/DICTA.2011.103"]}, {"id": "a48a8e337a155d01a9652f3ea36675710e600222", "title": "Spatio-temporal crowd density model in a human detection and tracking framework", "year": "2015", "pdf": ["http://www.eurecom.fr/en/publication/4486/download/mm-publi-4486.pdf"], "doi": ["http://doi.org/10.1016/j.image.2014.11.006"]}, {"id": "df3b560a5d6c8cc5fa1477d3a89245a0d3b60715", "title": "Human tracking with multiple parallel metrics", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df3b/560a5d6c8cc5fa1477d3a89245a0d3b60715.pdf"], "doi": []}, {"id": "64e0bd1210f180e0610b2a1faa188051a1de29bf", "title": "Combining Detectors for Robust Head Detection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/bd1210f180e0610b2a1faa188051a1de29bf.pdf"], "doi": []}, {"id": "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "title": "Active colloids segmentation and tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.04.022"]}, {"id": "01a152e7ca6accce4fa52e29b27feb76418583fb", "title": "Tracking Multiple High-Density Homogeneous Targets", "year": "2015", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_CSVT_TrackingMultiHDHTargets_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868274", "http://doi.org/10.1109/TCSVT.2014.2344509"]}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "02af5e40653b5a545b62aa6aebfaca6557f4173d", "title": "Sensor fusion for human safety in industrial workcells", "year": "2012", "pdf": ["http://www.cs.cmu.edu/~reids/papers/imaoIROS12.pdf", "http://www.ri.cmu.edu/pub_files/2012/10/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6386034", "http://doi.org/10.1109/IROS.2012.6386034", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1822&context=robotics"]}, {"id": "8c3d86ea14205e1bf046d1a770cee4edcb9f6b8f", "title": "Interactive acquisition of spatial information from images for multimedia applications", "year": "2013", "pdf": [], "doi": []}, {"id": "1d14182d23547723a32fc3e51e5c59a0402d31e2", "title": "Robust Tracking of Objects through Turbulence", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2683512"]}, {"id": "fc5561d95b63f05a2f88e66291dbd269e4141a00", "title": "A Pedestrian Multiple Hypothesis Tracker Fusing Head and Body Detections", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691474", "http://doi.org/10.1109/DICTA.2013.6691474"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Claudio_Jung/publication/260042947_Combining_patch_matching_and_detection_for_robust_pedestrian_tracking_in_monocular_calibrated_cameras/links/0deec53345668eb9ff000000.pdf", "https://pdfs.semanticscholar.org/ccde/43d13203bf29ccf351e8c9a79ee4b0b36142.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.08.031"]}, {"id": "6a9c460952a96a04e12caa7bae07ae2f7df1238e", "title": "Exploiting scene context for on-line object tracking in unconstrained environments. (Exploitation du contexte de sc\u00e8ne pour le suivi d'objet en ligne dans des environnements non contraints)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cb35/378a27204d59cab3b10deac3c2931c35fb33.pdf"], "doi": []}, {"id": "ffabb5dc6f3a3831d1d88028594c06d22d39ebfc", "title": "Towards a High Speed Video Cloud Based on Batch Processing Integrated with Fast Processing", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7063992", "http://doi.org/10.1109/IIKI.2014.13"]}, {"id": "c31f7fa9d050c8a7181fc3407313f1fddd06de8c", "title": "Multiple-Human Tracking by Iterative Data Association and Detection Update", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6750747", "http://doi.org/10.1109/TITS.2014.2303196"]}, {"id": "8e64f7f38db57ddc197cc7a9c51b914920ee99cc", "title": "AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e64/f7f38db57ddc197cc7a9c51b914920ee99cc.pdf"], "doi": []}, {"id": "fa83597bf71dbeb606bca6593bcef8ecd51e8661", "title": "MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fa83/597bf71dbeb606bca6593bcef8ecd51e8661.pdf"], "doi": []}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7362180", "http://doi.org/10.1109/TCSVT.2015.2511480"]}, {"id": "6e604946a0a51911db0e887378ba1ae103dcfb9e", "title": "Detection and Classification of a Moving Object in a Video Stream", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6e60/4946a0a51911db0e887378ba1ae103dcfb9e.pdf"], "doi": []}, {"id": "e7617e3beaa1a1a8a3e24ec517735c5cf5c8a8a8", "title": "Vision-based counting of pedestrians and cyclists", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477685", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477685", "http://doi.org/10.1109/WACV.2016.7477685"]}, {"id": "1180b1da7221c8c614ac7f6960772b78342f233e", "title": "Online tracking parameter adaptation based on evaluation", "year": "2013", "pdf": ["https://arxiv.org/pdf/1307.5653.pdf"], "doi": []}, {"id": "c1c119361952120507d010b96d53ee8bee13c4b7", "title": "Description of a Tracking Metric Inspired by KL-divergence", "year": "2018", "pdf": [], "doi": []}, {"id": "2814d558b4d7425b5dae6b3dbbf5f4a08650fcb1", "title": "A joint estimation of head and body orientation cues in surveillance video", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads//papers/2011/Chen_ICCV-SISM_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Chen_ICCV-SISM_2011.pdf", "http://www.idiap.ch/~odobez/publications/ChenHeiliOdobez-ICCV-SISM-2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130342", "http://doi.org/10.1109/ICCVW.2011.6130342"]}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "6c06f959397e990e5d68dbcc85cec8b96b4c5c2d", "title": "Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6c06/f959397e990e5d68dbcc85cec8b96b4c5c2d.pdf"], "doi": []}, {"id": "19c5dded4a2d1b7e62e29c71a4a7bd0911e2f5ae", "title": "SMC Faster R-CNN: Toward a scene-specialized multi-object detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.10217.pdf"], "doi": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "609cadcb4d7fe32d616f8e778b7fac9dd578bd81", "title": "Moving object tracking using Laplacian-DCT based perceptual hash", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566561"]}, {"id": "043831b3164152b4d67ce55db90eb3623d715cbf", "title": "Fuzzy logic approach to visual multi-object tracking", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.11.060"]}, {"id": "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "title": "Repr\u00e9senter pour suivre : Exploitation de repr\u00e9sentations parcimonieuses pour le suivi multi-objets. (Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "6ee5205408fc6db03460c05765ae0f21a6eb9552", "title": "A literature review on recent multi-object tracking methods based on HMM and particle filter", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ee5/205408fc6db03460c05765ae0f21a6eb9552.pdf"], "doi": []}, {"id": "d7eae9f76dcfa978b99eef430feb9420eac702eb", "title": "A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10757.pdf"], "doi": []}, {"id": "2329b177c71c7087013ab4bfdc3154a6ba87ff8c", "title": "Real-time and robust object tracking in video via low-rank coherency analysis in feature space", "year": "2015", "pdf": ["http://www3.cs.stonybrook.edu/~qin/research/2015-pr-robust-object-tracking.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.01.025"]}, {"id": "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "title": "Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a8d5/f1416760dbd8d2993358938f85c7ab04e85a.pdf"], "doi": []}, {"id": "e1a7446bc6f8267d4378977f8f39674f6932b628", "title": "Change Detection in Crowded Underwater Scenes - Via an Extended Gaussian Switch Model Combined with a Flux Tensor Pre-segmentation", "year": "2017", "pdf": ["http://www.scitepress.org/papers/2017/62585/62585.pdf", "https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2017/2017_change_detection_in_crowded_underwater_scenes_via_an_extended_gaussian_switch_model_combined_with_a_flux_tensor_pre-segmentation.pdf"], "doi": ["https://doi.org/10.5220/0006258504050415"]}, {"id": "1120e88663a38ed05120af378f57ecf557660160", "title": "Generic Object Crowd Tracking by Multi-Task Learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/722e/ae6cdf3ec2a55f06ea0f8c0aa4d7d57dc6a0.pdf"], "doi": []}, {"id": "5172baf893b1afe2650e015606b8537e16db88e5", "title": "Multiple object tracking with context awareness", "year": "2014", "pdf": [], "doi": ["http://d-nb.info/1065272502"]}, {"id": "347573e0b27a01748f8a6781dd84bb312aea5c53", "title": "Multi-Target Adaptive On-line Tracking based on WIHM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3475/73e0b27a01748f8a6781dd84bb312aea5c53.pdf"], "doi": []}, {"id": "78045e2b93745b16a174137074e430ccd5ff53ff", "title": "Hedging Deep Features for Visual Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7804/5e2b93745b16a174137074e430ccd5ff53ff.pdf"], "doi": []}, {"id": "074fea1fbfedeb80936c7cc1df7efee8f0b680b9", "title": "Real-time robust target tracking in videos via graph-cuts", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2002947"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "eb67693ae74a3e5fba42b96b41953f85c7414a8e", "title": "Scale Adaptive Tracking Using Mean Shift and Efficient Feature Matching", "year": "2014", "pdf": ["http://eprints.qut.edu.au/81753/1/SONG-Scale_Adaptive_Tracking_using_Mean_Shift_and_Efficient_Feature_Matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977100", "http://doi.org/10.1109/ICPR.2014.388"]}, {"id": "30f7609d111bb3bc006e3dd38678291528aa14d3", "title": "A new approach for extracting and summarizing abnormal activities in surveillance videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890537", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2014.6890537", "http://doi.org/10.1109/ICMEW.2014.6890537"]}, {"id": "b06b0086e84038abbe5088f3429603778f2b8fdf", "title": "Distributed Data Association in Smart Camera Networks via Dual Decomposition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1501.04754.pdf"], "doi": []}, {"id": "7a776f080b270c8759b2b4fe601682276d1b2eb4", "title": "Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7a77/6f080b270c8759b2b4fe601682276d1b2eb4.pdf"], "doi": []}, {"id": "c9c8ceadefa12adfb867cffcd2e5a37e4db81868", "title": "Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328048", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.4", "http://doi.org/10.1109/AVSS.2012.4"]}, {"id": "99e386cf71727ee66d5ac77693e107c78508f899", "title": "The Way They Move: Tracking Multiple Targets with Similar Appearance", "year": "2013", "pdf": ["http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/Dicle_ICCV13.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/dicle_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Dicle_The_Way_They_2013_ICCV_paper.pdf", "http://www.northeastern.edu/alert/assets/Dicle-Caglayan_ALERT_ASPIRE_SMOT_POSTER_Key.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.286", "http://doi.org/10.1109/ICCV.2013.286"]}, {"id": "37115eaa2789baf9edca92b48305e434a5ac5c02", "title": "Intelligent analysis oriented surveillance video coding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019429", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019429", "http://doi.org/10.1109/ICME.2017.8019429"]}, {"id": "0726152a1c1a5723ac34d54abec0dc8d4659598e", "title": "Realtime Image Matching for Vision Based Car Navigation with Built-in Sensory Data", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0726/152a1c1a5723ac34d54abec0dc8d4659598e.pdf"], "doi": []}, {"id": "29113ed00421953e0ddc4fa6784eaba60f05e801", "title": "Automatic Track Creation and Deletion Framework for Face Tracking", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2911/3ed00421953e0ddc4fa6784eaba60f05e801.pdf"], "doi": []}, {"id": "12a6d0617af44b46b70cd5c4ce055400b134aa8f", "title": "Conditions for target tracking with range-only information", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.robot.2015.10.003"]}, {"id": "43f36f7a5ee9dfeb45a02bc3b41a61cfa8726070", "title": "Depressed mood in pregnancy: Prevalence and correlates in two Cape Town peri-urban settlements", "year": "2011", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1742-4755-8-9&originUrl=http://reproductive-health-journal.biomedcentral.com/article/10.1186/1742-4755-8-9", "http://www.glowm.com/pdf/Article-postnataldepression-CC%20BY.pdf", "http://www.philani.org.za/wp-content/uploads/2014/08/2011_Philani_Depressed-Mood-Preg_Reprod-Health.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt07k6z20x/qt07k6z20x.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21535876", "https://doi.org/10.1186/1742-4755-8-9"]}, {"id": "f1d2e28436a93712e3cbe6bc8892c74ba3476657", "title": "Take Me to the Centre of Your Town ! Using Micro-geographical Data to Identify Town Centres", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f1d2/e28436a93712e3cbe6bc8892c74ba3476657.pdf"], "doi": []}, {"id": "e71dc2beeccd60ac73394441dd031bc20567b2da", "title": "Measuring the Impact of Out-of-town Retail Development on Town Centre Retail Property in England and Wales", "year": "2014", "pdf": ["http://www.geofutures.com/wp-content/uploads/2015/03/geofuturesVersion20140811.pdf"], "doi": ["https://doi.org/10.1007/s12061-014-9111-5"]}, {"id": "567944605731b32438f0138716a9f9c334688391", "title": "Urban poverty in Cape Town", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5679/44605731b32438f0138716a9f9c334688391.pdf"], "doi": []}, {"id": "d16e7650a6137f34342c1372ecc36a00eb3643d1", "title": "Patterns of renal disease in Cape Town South Africa: a 10-year review of a single-centre renal biopsy database.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/d16e/7650a6137f34342c1372ecc36a00eb3643d1.pdf"], "doi": []}, {"id": "43fd06a5a0c002e44f26ce9572ef76f16835f4d0", "title": "Survey Methodology in Violence-prone Khayelitsha , Cape Town , South Africa", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/43fd/06a5a0c002e44f26ce9572ef76f16835f4d0.pdf"], "doi": []}, {"id": "ac5c413a34649adf5cb88b4621f7151ad41e07d5", "title": "Persistence of Traditional Retailing in an Island Town 1", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ac5c/413a34649adf5cb88b4621f7151ad41e07d5.pdf"], "doi": []}, {"id": "38b36e0f7e3a68aaad458a5f82454ac4804bd97c", "title": "Comparative experimental application of alternative travel diaries in Cape Town and Dar es Salaam", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/38b3/6e0f7e3a68aaad458a5f82454ac4804bd97c.pdf"], "doi": []}, {"id": "e8679a533b5fd881bc7509ebe53df2741ec4ee50", "title": "Telecare Call Centre Work and Ageing in Place", "year": "2015", "pdf": ["http://researchopen.lsbu.ac.uk/983/1/Telecare%20call%20centre%20work%20and%20ageing%20in%20place%20(CSCW%202016).pdf", "http://wrap.warwick.ac.uk/75900/1/WRAP_Procter_10.1007_s10606-015-9242-5.pdf"], "doi": ["https://doi.org/10.1007/s10606-015-9242-5"]}, {"id": "22096ca83d32a3ec6ed5adfb09d934c5caf513b7", "title": "Cartographic, Geophysical and Diver Surveys of the Medieval Town Site at Dunwich, Suffolk, England", "year": "2011", "pdf": ["http://www.qps.nl/download/attachments/14778902/Cartographic,+Geophysical+&+Diver+Surveys+of+the+Medieval+town+site+at+Dunwich,+England.pdf?modificationDate=1420017662240&version=1"], "doi": ["https://doi.org/10.1111/j.1095-9270.2010.00275.x"]}, {"id": "df18854e23161ea2c6675aff37278f0dd17dd026", "title": "Does investment in the built fabric of historic towns drive economic recovery", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/df18/854e23161ea2c6675aff37278f0dd17dd026.pdf"], "doi": []}, {"id": "818bbe4a50840c5971f94342a760fc0d9c67c376", "title": "Estimates of CO2 fluxes over the City of Cape Town, South Africa, through Bayesian inverse modelling", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/95d7/0ae92c37d5198c0759a2d80bba0c07251596.pdf"], "doi": []}, {"id": "800e22c644c6929a3fa964e93c0013c6c86a02c0", "title": "Children and fighting forces: 10 years on from Cape Town.", "year": "2009", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/19500326", "https://doi.org/10.1111/j.1467-7717.2008.01086.x"]}, {"id": "63c6508f118b13ba63ec79e768993d866ac9c5fd", "title": "Structures of hosting in a south-western Chinese town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/63c6/508f118b13ba63ec79e768993d866ac9c5fd.pdf"], "doi": []}, {"id": "b76a0495e476a160688bbbbeffaa1e4d8bdb0bd3", "title": "Predictors of early first sexual intercourse among adolescents in Cape Town, South Africa.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/b76a/0495e476a160688bbbbeffaa1e4d8bdb0bd3.pdf"], "doi": []}, {"id": "8152f21315b1f6fc7da0583dc348ca0826e08b6e", "title": "The drug trade and governance in Cape Town", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8152/f21315b1f6fc7da0583dc348ca0826e08b6e.pdf"], "doi": []}, {"id": "2c52fcc453c523e1f66a02778ea283a96f8148cb", "title": "Borders, market access and urban growth; the case of Saxon towns and the Zollverein", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c52/fcc453c523e1f66a02778ea283a96f8148cb.pdf"], "doi": []}, {"id": "7c785d9bf57d640a026af56033e9a9b0401f3638", "title": "The next available agent: Work organisation in Indian call centres", "year": "2010", "pdf": ["https://research-repository.griffith.edu.au/bitstream/handle/10072/35659/65818__1.pdf;sequence=1"], "doi": ["https://doi.org/10.1111/j.1468-005X.2009.00235.x"]}, {"id": "5eeb63e82794df62772d4bd42d448f0d46bfcf91", "title": "Patient Satisfaction with a Pilot Chronic Pain Management Programme in Cape Town, South Africa", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5eeb/63e82794df62772d4bd42d448f0d46bfcf91.pdf"], "doi": []}, {"id": "94e01b4c8530ad778f19efe865543c1b414ac052", "title": "Prevalence of ticks on local and crossbred cattle in and around Asella town, southeast Ethiopia", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/94e0/1b4c8530ad778f19efe865543c1b414ac052.pdf"], "doi": []}, {"id": "7ef57166b69df6a495b4a6225e91ed8c1cb1d9e0", "title": "Bacteriological Quality of Vegetable Salads Sold at Restaurants Within Okada Town, Edo State, Nigeria", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7ef5/7166b69df6a495b4a6225e91ed8c1cb1d9e0.pdf"], "doi": []}, {"id": "8b9691b572fb275020f05850ec4efc1664709fa0", "title": "NATO Cooperative Cyber Defence Centre of Excellence", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7529417"]}, {"id": "1cee84a7c3f42d02349b8c2382c58ae8d9272528", "title": "Insight , part of a Special Feature on Urban ecological and social-ecological research in the City of Cape Town Urban Ecology in Cape Town: South African Comparisons and Reflections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cee/84a7c3f42d02349b8c2382c58ae8d9272528.pdf"], "doi": []}, {"id": "8aa366db9ca5240d81203b548f1fc720405ff694", "title": "Can Cape Town \u2019 s unique biodiversity be saved ? Balancing conservation imperatives and development needs", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8aa3/66db9ca5240d81203b548f1fc720405ff694.pdf"], "doi": []}, {"id": "f4b33bd4a4d02e1fca1f951e1a5e2db0a45e26ce", "title": "Emerging roles and competencies of district and sub-district pharmacists: a case study from Cape Town", "year": "2015", "pdf": ["http://human-resources-health.biomedcentral.com/track/pdf/10.1186/s12960-015-0081-8?site=human-resources-health.biomedcentral.com", "http://repository.uwc.ac.za/xmlui/bitstream/handle/10566/2053/Bradley_Emerging%20roles_2015.pdf;jsessionid=273ADA3C86244533399B3FC07A8298B8?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26601807", "https://doi.org/10.1186/s12960-015-0081-8"]}, {"id": "5e97c38e8fabb6fafd47a9e29d9c7ec1363014ea", "title": "Dialogicality and imaginings of two \u2018 community \u2019 notice boards in post-apartheid Observatory , Cape Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e97/c38e8fabb6fafd47a9e29d9c7ec1363014ea.pdf"], "doi": []}, {"id": "cdfb0cfaa65d8ef794e2ec6fa7a8d7d570c5ab9a", "title": "EFFECTS OF STRATEGY DEVELOPMENT ON SUSTAINABILTY OF SME \u2019 S IN THIKA TOWN Lorrine", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cdfb/0cfaa65d8ef794e2ec6fa7a8d7d570c5ab9a.pdf"], "doi": []}, {"id": "da54a298173cd4165ed9da411956e4b88cdf4a54", "title": "Language, residential space and inequality in Cape Town: Broad-brush profiles and trends", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73a2/e2704600918c1de5f42dcb2844b2f5e3fe20.pdf"], "doi": []}, {"id": "a1428468de3a243f16c4886fd0af181b6e7a8fdd", "title": "Temporal trends in TB notification rates during ART scale-up in Cape Town: an ecological analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7173/b416f24b935e9f172ceb2ab91e2caf1cbe7a.pdf"], "doi": []}, {"id": "d9e0787e31c35a148c4a63b50b395222c54f74b3", "title": "Outcome of patients with membranous lupus nephritis in Cape Town South Africa.", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d9e0/787e31c35a148c4a63b50b395222c54f74b3.pdf"], "doi": []}, {"id": "7121b92c0d3f6582d7e924a5ce497e2bbd91c5b2", "title": "A practise-based theory of SEIDET smart community centre model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439411"]}, {"id": "3bf7fe12d86548368f01ac857b10e2e3db1ec619", "title": "Environmental Direct Action in Manchester , Oxford and North Wales : A Protest Event Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3bf7/fe12d86548368f01ac857b10e2e3db1ec619.pdf"], "doi": []}, {"id": "0f7519db0012331764f5d412d1821809f62cbc64", "title": "Social Control , Urban Planning and Ethno-Class Relations : Mizrahi Jews in Israel \u2019 s \u2018 Development Towns", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0f75/19db0012331764f5d412d1821809f62cbc64.pdf"], "doi": []}, {"id": "f7664ca82753a8a6a048e12c96ed2b987c93a180", "title": "Increasing prevalence of specific language impairment (SLI) in primary healthcare of a Finnish town, 1989-99.", "year": "2009", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/18608605", "https://doi.org/10.1080/13682820801903310"]}, {"id": "c90e39d01937bfaf6e26da8e91ff82d927b5a918", "title": "Prevalence of cerebral palsy in children < 10 years of age in R.S. Pura town of Jammu and Kashmir.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c90e/39d01937bfaf6e26da8e91ff82d927b5a918.pdf"], "doi": []}, {"id": "561bbdf96f4b332e1208ea5cb7e3235093871b1a", "title": "Sources of heavy metals in vegetables in Cape Town, and possible methods of remediation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/561b/bdf96f4b332e1208ea5cb7e3235093871b1a.pdf"], "doi": []}, {"id": "e481c51a1aae22fbb209641627990e2b6bcf49a5", "title": "STATUS OF WATER QUALITY IN THE PROXIMITY OF DEOGHAR TOWN IN THE JHARKHAND STATE OF INDIA", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e481/c51a1aae22fbb209641627990e2b6bcf49a5.pdf"], "doi": []}, {"id": "dcb69bd155d4ad20d78e9bbba5c7f5c86a6b31c5", "title": "Compositional changes in spider (araneae) assemblages along an urbanisation gradient near a danish town", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dcb6/9bd155d4ad20d78e9bbba5c7f5c86a6b31c5.pdf"], "doi": []}, {"id": "a677e7a8ab975f8742a8c352449d6b2a79d64e70", "title": "Internet and Online Media Usage on Mobile Phones among Low-Income Urban Youth in Cape Town", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/a677/e7a8ab975f8742a8c352449d6b2a79d64e70.pdf"], "doi": []}, {"id": "9c77bb6e9b654196fa8dcca36f750976d27f4587", "title": "Bypassing the Squalor : New Towns , Immaterial Labour and Exclusion in Post-colonial Urbanisation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9c77/bb6e9b654196fa8dcca36f750976d27f4587.pdf"], "doi": []}, {"id": "608364534e629cd0b279797276a92b1dae80997f", "title": "NATIONAL hErITAGE AND DEVELOPMENT OF TrADITIONAL hANDICrAFT CENTrES", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6083/64534e629cd0b279797276a92b1dae80997f.pdf"], "doi": []}, {"id": "4ae01b8922d4a5212a6256861ea1701db477f6e4", "title": "Gross and Molecular Characterization of Mycobacterium tuberculosis Complex in Mekelle Town Municipal Abattoir, Northern Ethiopia", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4ae0/1b8922d4a5212a6256861ea1701db477f6e4.pdf"], "doi": []}, {"id": "f28d0eb0cd73cf34eb2d14457134e4569e810329", "title": "Urban Health Extension Services Utilization in Bishoftu Town, Oromia Regional State, Central Ethiopia", "year": "2017", "pdf": ["https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-017-2129-z"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28288620", "https://doi.org/10.1186/s12913-017-2129-z"]}, {"id": "e3f84cd923437b5e924c0364cd340479afb6ad72", "title": "Possibilities and barriers for recirculation of nutrients and organic matter from urban to rural areas : A technical theoretical framework applied to the medium-sized town Hiller\u00f8d , Denmark", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e3f8/4cd923437b5e924c0364cd340479afb6ad72.pdf"], "doi": []}, {"id": "f2a2f675edcec8d40434dc25c7391019a2c74453", "title": "Oxford vaccine study highlights pick and mix approach to preclinical research.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f2a2/f675edcec8d40434dc25c7391019a2c74453.pdf"], "doi": []}, {"id": "93296d199e92831cd89c295ada5b3452ca477831", "title": "Using Micro-Geography Data to Identify Town-Centre Space in Great Britain", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4cf5/1573a0c8df7b2f8b9cdb3054a972e07e4ecd.pdf"], "doi": []}, {"id": "a7a2835ad6ed4d3db275e3c8923915ae712544be", "title": "Multiple supermassive black hole systems: SKA\u2019s future leading role", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.01238.pdf"], "doi": []}, {"id": "f5befea335a8e48fbbbbc40816dd2388e39d383c", "title": "\u201cForeigners in Town\u201d: Leisure, Consumption, and Cosmopolitanism in Late-Nineteenth and Early-Twentieth Century Tillsonburg, Ontario", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f6/b8bd036f4162fcede2a59e14d8a79a37a97f.pdf"], "doi": []}, {"id": "e5aea2e1331c04bc9ff764366b3c4d9e6c2c67c6", "title": "The Influence of Personality Traits and Resilience on Burnout among Customer Service Representatives in a Call Centre", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e5ae/a2e1331c04bc9ff764366b3c4d9e6c2c67c6.pdf"], "doi": []}, {"id": "7af59bbca0b992c40ecd41d3075e21cfdc71e18a", "title": "Representation of Target Culture in the ELT Textbooks in Pakistan: Evaluation of \"OXFORD PROGRESSIVE ENGLISH\" for Cultural Relevance", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7af5/9bbca0b992c40ecd41d3075e21cfdc71e18a.pdf"], "doi": []}, {"id": "1b43ce73991751ab03e187ebff9037ec88b145d9", "title": "Measuring the degree of integrated tuberculosis and HIV service delivery in Cape Town, South Africa.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23274439", "https://doi.org/10.1093/heapol%2Fczs131"]}, {"id": "910ad38b580a15d7260c04be100a6c2feab32299", "title": "HIV type 1 in a rural coastal town in Kenya shows multiple introductions with many subtypes and much recombination.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21770741", "https://doi.org/10.1089/aid.2011.0048"]}, {"id": "6fe9cf61c2d90d48ffcef303e64ef8dbe66f506f", "title": "THE ADAPTATIVE NATURE OF NEOLIBERALISM AT THE LOCAL SCALE : FIFTEEN YEARS OF CITY IMPROVEMENT DISTRICTS IN CAPE TOWN AND JOHANNESBURG", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/304a/a4b3ee5bd180d597f49db3722533ecaec608.pdf"], "doi": []}, {"id": "b3ed1ade56553d3b531bc08d7c40c2962260f96a", "title": "Epidemiology of HIV-1 subtypes among men who have sex with men in Cape Town, South Africa.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b3ed/1ade56553d3b531bc08d7c40c2962260f96a.pdf"], "doi": []}, {"id": "b98b17b2169ca1bde45c4e166d81d8fb66a5c2ef", "title": "School As A Caring Community A Challenge For Qualitative Expansion In Education Beyond Classroom: A Comparative Survey Of Select Principals, Teachers And Class Ix -Students Of Tura Town In Meghalaya With Nalbari Town In Assam, India", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b98b/17b2169ca1bde45c4e166d81d8fb66a5c2ef.pdf"], "doi": []}, {"id": "8684b08b862c2ddf9d23451aeb0db8e1e55d515d", "title": "Introduction to occupation-centred practice with children", "year": "2010", "pdf": ["http://media.wiley.com/product_data/excerpt/72/14051842/1405184272.pdf"], "doi": ["https://doi.org/10.1002/9781444319699.ch1"]}, {"id": "4b6e23c5f2a09d20463fb715cbf5cb5ad922dbaf", "title": "WILL \"DISTRICT HEATING COME TO TOWN\"? ANALYSIS OF CURRENT OPPORTUNITIES AND CHALLENGES IN THE UK", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/4b6e/23c5f2a09d20463fb715cbf5cb5ad922dbaf.pdf"], "doi": []}, {"id": "9d160b0b947836bfe68f017b561057522b267ca9", "title": "1 Attending to Early Modern women : Remapping Routes and Spaces Workshop : Gender in the European Town : women \u2019 s impact on their urban communities", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9d16/0b0b947836bfe68f017b561057522b267ca9.pdf"], "doi": []}, {"id": "0920c4be44621f137a3a8a2eb4157be82f322b36", "title": "Does a biomedical research centre affect patient care in local hospitals?", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-016-0163-7"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28109282", "https://doi.org/10.1186/s12961-016-0163-7"]}, {"id": "963cfbe36d40c2288edb34eeff3c42520f235ffe", "title": "A THEORETICAL OVERVIEW OF THE GROWTH CENTRE STRATEGY: PERSPECTIVES FOR REENGINEERING THE CONCEPT IN ZIMBABWE", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/963c/fbe36d40c2288edb34eeff3c42520f235ffe.pdf"], "doi": []}, {"id": "11126384fbe3c9884210b49f352bd079c921b34b", "title": "The Reverse Side of the Medal: About the 2010 FIFA World Cup and the Beautification of the N2 in Cape Town", "year": "2009", "pdf": ["http://abahlali.org/files/N2%20Gateway%20&%202010.pdf"], "doi": ["https://doi.org/10.1007/s12132-009-9048-y"]}, {"id": "ef2b61c85f44e371c164aff53d41899475739581", "title": "Unacknowledged Urbanisation: The New Census Towns of India", "year": "2013", "pdf": ["http://www.springer.com/cda/content/document/cda_downloaddocument/9788132236146-c2.pdf?SGWID=0-0-45-1602431-p180148898", "https://f.hypotheses.org/wp-content/blogs.dir/489/files/2012/08/Unacknowledged-Urbanisation_CPR-Working-Paper_KCPradhan.pdf", "https://mpra.ub.uni-muenchen.de/41035/2/Unacknowledged_Urbanisation.pdf"], "doi": ["https://doi.org/10.1007/978-81-322-3616-0_2"]}, {"id": "6390634cf96a2cab7459bbaf402ec5da13a3a16b", "title": "Family size and expectations about housing in the later nineteenth century: three Yorkshire towns.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4c35/405af8121382256af838879f0de526f44d7f.pdf"], "doi": []}, {"id": "7018b13b01f7e3fd3493f48f62ebd51407c054ef", "title": "Variation in quality of preventive care for well adults in Indigenous community health centres in Australia", "year": "2011", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1472-6963-11-139&originUrl=http://bmchealthservres.biomedcentral.com/article/10.1186/1472-6963-11-139", "http://espace.cdu.edu.au/eserv/cdu:24364/Bailie_24364.pdf", "https://espace.curtin.edu.au/bitstream/handle/20.500.11937/15656/172123_47723_Variation%20in%20quality%2065295.pdf?isAllowed=y&sequence=2"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21627846", "https://doi.org/10.1186/1472-6963-11-139"]}, {"id": "70b6534b908f0ffb8337d9aa4a85b4547b20d0ef", "title": "Assessment of Knowledge, Attitude and Practices about Rabies and Associated Factors: In the Case of Bahir Dar Town", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70b6/534b908f0ffb8337d9aa4a85b4547b20d0ef.pdf"], "doi": []}, {"id": "374bbb285c7ca216647e0451dbe5f129f226c2bc", "title": "Rapid access to renal transplant waiting list in children: impact of patient and centre characteristics in France.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/374b/bb285c7ca216647e0451dbe5f129f226c2bc.pdf"], "doi": []}, {"id": "5b926722c326b9d457428b2640b39d9ef72753e3", "title": "Women\u2019s experience of intrapartum transfer from a Western Australian birth centre co-located to a tertiary maternity hospital", "year": "2016", "pdf": ["https://bmcpregnancychildbirth.biomedcentral.com/track/pdf/10.1186/s12884-016-0817-z"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26857353", "https://doi.org/10.1186/s12884-016-0817-z"]}, {"id": "4d3cc73e7303b74fc03b8327b144bf77674cd751", "title": "Survival from breast cancer: an analysis of Australian data by surgeon case load, treatment centre location, and health insurance status.", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d3c/c73e7303b74fc03b8327b144bf77674cd751.pdf"], "doi": []}, {"id": "0cd2c695f6241ecfd57209e0a9685e1dd2e2fe0b", "title": "Promoting Urban Agriculture for Development: Suggestions for Designing the 'Ideal' Social Enterprise Box Scheme in Cape Town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0cd2/c695f6241ecfd57209e0a9685e1dd2e2fe0b.pdf"], "doi": []}, {"id": "14eef7d9ef776b7d24b0f9b67889dc653189239d", "title": "Factors Affecting the Performance of Small and Medium Enterprises in the Jua Kali Sector In Nakuru Town , Kenya", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/14ee/f7d9ef776b7d24b0f9b67889dc653189239d.pdf"], "doi": []}, {"id": "93777edf3169320a76909d8d8968d3656a2cc5a0", "title": "High levels of vulnerability and anticipated stigma reduce the impetus for tuberculosis diagnosis in Cape Town, South Africa.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9377/7edf3169320a76909d8d8968d3656a2cc5a0.pdf"], "doi": []}, {"id": "8782bf0d77c02732cc5808b04bc6b47a7180036f", "title": "Rapid Assessment Response (RAR) study: drug use, health and systemic risks\u2014Emthonjeni Correctional Centre, Pretoria, South Africa", "year": "2014", "pdf": ["https://harmreductionjournal.biomedcentral.com/track/pdf/10.1186/1477-7517-11-11"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24708609", "https://doi.org/10.1186/1477-7517-11-11"]}, {"id": "0d52b37ef5be9f50646a02331dfc6496a6caf487", "title": "Regimes of Dispossession: From Steel Towns to Special Economic Zones", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0d52/b37ef5be9f50646a02331dfc6496a6caf487.pdf"], "doi": []}, {"id": "0d87f98c12885a17edc36dfb9bd5c219ad82fddd", "title": "An \u2018 Atypical \u2019 Case ? The First Emergence of Brussels as an International Financial Centre , 1830-1860", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0d87/f98c12885a17edc36dfb9bd5c219ad82fddd.pdf"], "doi": []}, {"id": "1cfe2a9348100f1b9285ab9074438c84267cf775", "title": "SPACE, SETTLEMENTS, TOWNS: THE INFLUENCE OF GEOGRAPHY AND MARKET ACCESS ON SETTLEMENT DISTRIBUTION AND URBANIZATION", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cfe/2a9348100f1b9285ab9074438c84267cf775.pdf"], "doi": []}, {"id": "a55398e4de111f1c25dc4435f1dbba3b6bd7bce6", "title": "Small town identity and history ' s contribution to a response in policy change : a case study of transition from coal to biomass energy conversion", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a553/98e4de111f1c25dc4435f1dbba3b6bd7bce6.pdf"], "doi": []}, {"id": "778679a2c829a52cdbd64c9b4f47c1c5cdf0ed05", "title": "Invasion ecology goes to town: from disdain to sympathy", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s10530-017-1588-9", "https://serval.unil.ch/resource/serval:BIB_397033CFA03B.P002/REF"]}, {"id": "c267a32709d255cb5b276cdf0e453ff3183f1a7a", "title": "ETHNOMUSICOLOGISTS RESEARCHING TOWNS THEY LIVE IN : THEORETICAL AND METHODOLOGICAL QUERIES FOR A RENEWED DISCIPLINE", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c267/a32709d255cb5b276cdf0e453ff3183f1a7a.pdf"], "doi": []}, {"id": "bcf4c1a85ca2f31b042b543bc9a2e8a488076023", "title": "STUDENT-TEACHERS\u2019 PEDAGOGICAL BELIEFS: LEARNER-CENTRED OR TEACHER- CENTRED WHEN USING ICT IN THE SCIENCE CLASSROOM?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bcf4/c1a85ca2f31b042b543bc9a2e8a488076023.pdf"], "doi": []}, {"id": "df22776c66d2b7908e6ec9d950d7c974d0a45ff1", "title": "Navigating rules and wills : healthcare and social protection in a Bosnian border town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/df22/776c66d2b7908e6ec9d950d7c974d0a45ff1.pdf"], "doi": []}, {"id": "7d65d2cdd859996db8d83caca3c4f0f1c84c9a9e", "title": "Community Transitions to Low Carbon Futures in the Transition Towns Network ( TTN )", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7d65/d2cdd859996db8d83caca3c4f0f1c84c9a9e.pdf"], "doi": []}, {"id": "75ae135d586711d9d28756ccdae69496ea814de8", "title": "Infant mortality in three East Midland towns : similarities and differences , 1890-1910", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/75ae/135d586711d9d28756ccdae69496ea814de8.pdf"], "doi": []}, {"id": "30f527ce12a49282c68341f960390dc20e8f128d", "title": "A case for smarter city growth : a strategic analysis of Cape Town\u2019s Phase 1A BRT system and its supporting land use environment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/30f5/27ce12a49282c68341f960390dc20e8f128d.pdf"], "doi": []}, {"id": "2fdeba79f576506ccce61c667c05c16f4a90839d", "title": "New Trend of Urbanization in China: Land and housing development in suburban areas and small towns", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2fde/ba79f576506ccce61c667c05c16f4a90839d.pdf"], "doi": []}, {"id": "0017a9c97b4f116161a1ee161d05f05b8286c01c", "title": "Hydro biological Characteristics of Some Semi-intensive fish culture ponds of Lumding town of Nagaon district, Assam", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0017/a9c97b4f116161a1ee161d05f05b8286c01c.pdf"], "doi": []}, {"id": "bc6ec2d296f9b7506724af114e9ef3a98a416305", "title": "New equations to calculate 3D joint centres in the lower extremities.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26320760", "https://doi.org/10.1016/j.medengphy.2015.07.001"]}, {"id": "af2f131f90f9aa282a7368f05efc1d5d8b55fc87", "title": "Affecting relations : domesticating the internet in a south-western Chinese town", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/af2f/131f90f9aa282a7368f05efc1d5d8b55fc87.pdf"], "doi": []}, {"id": "a62bdceb47d0ea4d43892ea598207b88f54c50e7", "title": "Loughborough University Institutional Repository ` The only game in town ? ' : football match-fixing in Greece", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1f4d/adbe07f42b7fcd0f706ed97ece015947086f.pdf"], "doi": []}, {"id": "fb8a0e4c9c104bf80739fc21df967562e2ed9588", "title": "NEOLIBERALISM AND MEGA-EVENT SECURITY LEGACIES: THE 2010 FIFA WORLD CUP, CAPE TOWN, SOUTH AFRICA", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb8a/0e4c9c104bf80739fc21df967562e2ed9588.pdf"], "doi": []}, {"id": "230dd320ee766df937849bd59e60c4071396d36d", "title": "Provenance of Chalk Tesserae from a Roman Town House in Vine Street , Leicester", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/230d/d320ee766df937849bd59e60c4071396d36d.pdf"], "doi": []}, {"id": "5307947b0c8bf69ff1a1d60430157cb35b93bb97", "title": "A new focus of schistosomiasis mansoni in Hayk town, northeastern Ethiopia", "year": "2014", "pdf": ["http://bmcresnotes.biomedcentral.com/track/pdf/10.1186/s13104-014-0965-z?site=bmcresnotes.biomedcentral.com", "http://www.be-md.ncbi.nlm.nih.gov/pmc/articles/PMC4318522/pdf/13104_2014_Article_965.pdf"], "doi": ["https://doi.org/10.1186/s13104-014-0965-z", "https://www.ncbi.nlm.nih.gov/pubmed/25643852"]}, {"id": "fc2010167f79ef21262bb2261bd9b9caec19cc7a", "title": "Demographic and circumstantial accounts of burn mortality in Cape Town, South Africa, 2001-2004: An observational register based study", "year": "2009", "pdf": ["http://bmcpublichealth.biomedcentral.com/track/pdf/10.1186/1471-2458-9-374?site=bmcpublichealth.biomedcentral.com", "http://uir.unisa.ac.za/bitstream/handle/10500/8858/Crime%20Violence%20and%20Injury%20Research%20Unit%201.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/19804652", "https://doi.org/10.1186/1471-2458-9-374"]}, {"id": "3890fdfc4c0ea60ca462f02045df84730b093709", "title": "The liminal role of the information intermediary in community multimedia centres", "year": "2010", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2369224"]}, {"id": "9a605a5e8cde0a00f7ef6b908b922800e17e4341", "title": "The Radcliffe Infirmary, Oxford", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29823226", "https://doi.org/10.1016/S0140-6736%2801%2958854-6"]}, {"id": "07a5748a9e5da415f44b435ab9fe1555da3f5b23", "title": "The Management of Staphylococcus aureus Bacteremia in the United Kingdom and Vietnam: A Multi-Centre Evaluation", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f592/ce0f48f54433bb3bd25ae6515b9299424dea.pdf"], "doi": []}, {"id": "16eb7cefb612ca66c6b3d936b60d0a5f4947b1f4", "title": "Araport: the Arabidopsis Information Portal", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/16eb/7cefb612ca66c6b3d936b60d0a5f4947b1f4.pdf"], "doi": []}, {"id": "5632dcabfc1d72aadc6e68bf423bf2141706724a", "title": "Plasmids carrying blaCTX-M-1 and qnr genes in Escherichia coli isolates from an equine clinic and a horseback riding centre.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5632/dcabfc1d72aadc6e68bf423bf2141706724a.pdf"], "doi": []}, {"id": "0ff09c7dc049c2f704395ab1dbaabacf2b0e3dea", "title": "Competition and Innovation : An inverted-U relationship using Japanese industry data", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0ff0/9c7dc049c2f704395ab1dbaabacf2b0e3dea.pdf"], "doi": []}, {"id": "b3d8924e1bff63d0b91a8c4845df4a30529f947b", "title": "Measuring redshift-space distortion with future SKA surveys", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.03821.pdf"], "doi": []}, {"id": "9d4a6dd41759369d040870ef4beb79e8fa48d838", "title": "Online social networks, location, and the dual effect of distance from the centre", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d4a/6dd41759369d040870ef4beb79e8fa48d838.pdf"], "doi": []}, {"id": "09ba5efa9a96406a87d07f7086c2b22a44eedd18", "title": "Internet of Things for Smart Cities", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6740844"]}, {"id": "0e41075d57b9fbf205cd1759dbfdaf5bf05f55aa", "title": "The prevalence and characteristics of sexting behaviours among adolescents and adults in Cape Town, South Africa", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e41/075d57b9fbf205cd1759dbfdaf5bf05f55aa.pdf"], "doi": []}, {"id": "7a6f676e1e33b5db1ac239fbbd371f5a0323debb", "title": "HIV/STI risk by migrant status among workers in an urban high-end entertainment centre in Eastern China.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/7a6f/676e1e33b5db1ac239fbbd371f5a0323debb.pdf"], "doi": []}, {"id": "2dfe5a9784043c30247bd0e4f7cf9e85db617bc8", "title": "Between duty statement and reality \u2013 The \u201cLinguist/Coordinator\u201d at an Australian Indigenous language centre", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2dfe/5a9784043c30247bd0e4f7cf9e85db617bc8.pdf"], "doi": []}, {"id": "8dad79f9a44ea9e839141c32fdb555aea0f19299", "title": "Exploring the invasion of the guttural toad Sclerophrys gutturalis in Cape Town through a multidisciplinary approach", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8dad/79f9a44ea9e839141c32fdb555aea0f19299.pdf"], "doi": []}, {"id": "4eeb4047957c70ec13ccfff3c467478c0369caa2", "title": "Domestic service in a small market town: Crickhowell, 1851-1901.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4eeb/4047957c70ec13ccfff3c467478c0369caa2.pdf"], "doi": []}, {"id": "d2870ef975b191bd2ca54cd645311ef18e9cd07e", "title": "Factors associated with poor adherence to anti-retroviral therapy in patients attending a rural health centre in South Africa", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1007/s10096-010-0949-4", "https://www.ncbi.nlm.nih.gov/pubmed/20467769"]}, {"id": "4e84781d13bda58e7e38a5dd1f0ac36acc9f80a5", "title": "Concentration of Air Pollutants During Working and Non-Working Days in the Kuala Lumpur City Centre, Malaysia", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e84/781d13bda58e7e38a5dd1f0ac36acc9f80a5.pdf"], "doi": []}, {"id": "963cb02b410e958a707b083c8f0098f3f50b74b0", "title": "Trends in bushmeat trade in a postconflict forest town : implications for food security", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/963c/b02b410e958a707b083c8f0098f3f50b74b0.pdf"], "doi": []}, {"id": "08fb1d53a264f108f587f0f23add2a89bd760c69", "title": "A large outbreak of Legionnaires\u2019 Disease in an industrial town in Portugal", "year": "2016", "pdf": ["http://repositorio.insa.pt/bitstream/10400.18/4217/1/A%20large%20outbreak%20of%20Legionnaires%20Disease.pdf", "http://www.elsevier.pt/en/revistas/revista-portuguesa-saude-publica-323/pdf/S0870902516300323/S300/", "http://www.scielo.mec.pt/pdf/rpsp/v34n3/v34n3a02.pdf", "https://comum.rcaap.pt/bitstream/10400.26/16567/1/1-s2.0-S0870902516300323-main.pdf"], "doi": ["https://doi.org/10.1016/j.rpsp.2016.10.001"]}, {"id": "defb163564e54d4fcb33ebffe30aa20b0f6453d7", "title": "SAI\u0308D BUSINESS SCHOOL, PARK END STREET OXFORD OX1 1HP", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/defb/163564e54d4fcb33ebffe30aa20b0f6453d7.pdf"], "doi": []}, {"id": "ae65862597cc97d3a5ac1279daa1e0056ec0a10b", "title": "Contested modernism : post Slums Act public housing in Cape Town", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ae65/862597cc97d3a5ac1279daa1e0056ec0a10b.pdf"], "doi": []}, {"id": "65cc18b57144b20fd1dcede4a0b1bdb999b16311", "title": "The emerging invasive alien plants of the Drakensberg Alpine Centre, southern Africa", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/65cc/18b57144b20fd1dcede4a0b1bdb999b16311.pdf"], "doi": []}, {"id": "aec8d0747ee19b9b296fcea85f6e8b01eace8b1c", "title": "Physic at Oxford", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aec8/d0747ee19b9b296fcea85f6e8b01eace8b1c.pdf"], "doi": []}, {"id": "4dbaf3e94aa8b4149de2bf2a6ce3fe894adf4dc3", "title": "Agricultural Transparency: Reconnecting Urban Centres With Food Production", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4dba/f3e94aa8b4149de2bf2a6ce3fe894adf4dc3.pdf"], "doi": []}, {"id": "e1c399fd381e94495fc4f7e884b70ba81ca33fd0", "title": "Narrating Muslim women\u2019s identities in Cape Town", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e1c3/99fd381e94495fc4f7e884b70ba81ca33fd0.pdf"], "doi": []}, {"id": "1f0f52df2d35d8bf1298e991564514b4bcc7a7c5", "title": "Meta-evaluations in government and government institutions: A case study example from the Australian Centre for International Agricultural Research", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1f0f/52df2d35d8bf1298e991564514b4bcc7a7c5.pdf"], "doi": []}, {"id": "99bef58692c0984bbe0346846dac7a212ef02e1f", "title": "Rethinking the Bloody Code in Eighteenth-Century Britain: Capital Punishment at the Centre and on the Periphery.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/99be/f58692c0984bbe0346846dac7a212ef02e1f.pdf"], "doi": []}, {"id": "e912c19f9d189ac02d15062ea2777b13efa1ffbc", "title": "Remaking the medico-legal scene: a social history of the late-Victorian coroner in Oxford.", "year": "2010", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20008864", "https://doi.org/10.1093/jhmas%2Fjrp053"]}, {"id": "d73cc71f1d97f3ed2e2f16f9e76f1a1777efaa74", "title": "The British Medical Association at Oxford", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1038/070332b0", "https://www.ncbi.nlm.nih.gov/pubmed/29817569"]}, {"id": "9b86b894bf58064e5db7233e35a5352dee75d9dd", "title": "Drug use and health behaviour among German men who have sex with men: Results of a qualitative, multi-centre study", "year": "2016", "pdf": ["https://harmreductionjournal.biomedcentral.com/track/pdf/10.1186/s12954-016-0125-y"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27938393", "https://doi.org/10.1186/s12954-016-0125-y"]}, {"id": "81b2b8fd43c0ac1d62dfeed2ba528298bc2d9e4e", "title": "Single Image Haze Removal Using Dark Channel Prior", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81b2/b8fd43c0ac1d62dfeed2ba528298bc2d9e4e.pdf"], "doi": []}, {"id": "2f5148f95049012a1116a187a99cbd24fa409f6c", "title": "Auxin and cytokinin control formation of the quiescent centre in the adventitious root apex of arabidopsis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2f51/48f95049012a1116a187a99cbd24fa409f6c.pdf"], "doi": []}, {"id": "046586c4231eb6426a99a6bbe23b7ff3031e7dc8", "title": "College and student activities at various colleges in Oxford University: Some lessons to Universiti Kebangsaan Malaysia.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0465/86c4231eb6426a99a6bbe23b7ff3031e7dc8.pdf"], "doi": []}, {"id": "db24d4fecbe76ec0cdef1d41dd48c138d7eede61", "title": "Alleviative Bleeding: Bloodletting, Menstruation and the Politics of Ignorance in a Brazilian Blood Donation Centre", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/db24/d4fecbe76ec0cdef1d41dd48c138d7eede61.pdf"], "doi": []}, {"id": "5a6a586da2b410afad9622afed62cd8373f34410", "title": "Bernard Gersh: from South Africa to the Mayo Clinic via Oxford, England.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26074621", "https://doi.org/10.1093/eurheartj%2Fehv128"]}, {"id": "871dcd6be39944f6c24fb55a135632c6f05ce926", "title": "Creating the CIPRES Science Gateway for inference of large phylogenetic trees", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5676129"]}, {"id": "3b7d0ed68d367d2f8b3107504a5d2220ed597042", "title": "Local Politics and Local-Centre Linkages in Ghana", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3b7d/0ed68d367d2f8b3107504a5d2220ed597042.pdf"], "doi": []}, {"id": "9183109a3465c6ad8542b1f230c0dea77c778f5e", "title": "OXFORD RESEARCH IN SOCIAL ANTHROPOLOGY ABSTRACTS OF THESES IN SOCIAL ANTHROPOLOGY FOR WHICH HIGHER DEGREES WERE AWARDED BY THE UNIVERSITY OF OXFORD IN 1991", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d6c0/cee0aaf47e1951d59d0bdeebb7a392cc3a97.pdf"], "doi": []}, {"id": "9a0d8ba03dac59a9d31653a0d8d76f5735ca7f4e", "title": "MANAGING THE IMPACT OF URBANIZATION ON BIODIVERSITY IN EMERGING URBAN FRINGE SETTLEMENTS : THE CASE OF SATELLITE TOWN , CALABAR , NIGERIA", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9a0d/8ba03dac59a9d31653a0d8d76f5735ca7f4e.pdf"], "doi": []}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "876ccc4f3ff640c76743d1be4d772faeed84a9fa", "title": "Making Urban Land Markets Work Better in South African Cities and Towns: Arguing the Basis for Access by the Poor", "year": "2009", "pdf": ["http://researchspace.csir.co.za/dspace/bitstream/handle/10204/1053/Napier_2007.pdf;jsessionid=83FAB40C3F609E199DF4A107CB9A70A7?sequence=1"], "doi": ["https://doi.org/10.1007/978-1-4020-8862-9_4"]}, {"id": "44a7d08da6239436ebe14bedfee2884e0917e7e3", "title": "Developing children\u2019s palliative care in Africa through beacon centres: lessons learnt", "year": "2013", "pdf": ["http://ihi.eprints.org/1173/1/Downing.pdf", "https://bmcpalliatcare.biomedcentral.com/track/pdf/10.1186/1472-684X-12-8"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23419095", "https://doi.org/10.1186/1472-684X-12-8"]}, {"id": "6931a43fa8d7c9d470614799f8cdf8dca77a289d", "title": "Cost of maternal health services in selected primary care centres in Ghana: a step down allocation approach", "year": "2013", "pdf": ["http://ugspace.ug.edu.gh/bitstream/handle/123456789/5701/1472-6963-13-287.pdf?sequence=2", "https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/1472-6963-13-287"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23890185", "https://doi.org/10.1186/1472-6963-13-287"]}, {"id": "1f8cf3d5bc0fd966540a77da1142daef3ab9f488", "title": "The Development of Towns", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1f8c/f3d5bc0fd966540a77da1142daef3ab9f488.pdf"], "doi": []}, {"id": "d935b1ef94761081aa2bcafd0bcb2ed87f72f626", "title": "A systematic literature review of empirical evidence on computer games and serious games", "year": "2012", "pdf": ["http://www.jenjenson.com/courses/learninggame/wp-content/uploads/2010/08/systematicreviewofevidence.pdf"], "doi": ["https://doi.org/10.1016/j.compedu.2012.03.004"]}, {"id": "4d71c0e6cebfe5858e69618328c2ad46babdb24d", "title": "Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea", "year": "2014", "pdf": ["http://genomebiology.biomedcentral.com/track/pdf/10.1186/gb-2014-15-6-r77?site=genomebiology.biomedcentral.com", "http://wrap.warwick.ac.uk/62050/1/WRAP_Barker_gb-2014-15-6-r77.pdf", "https://athenaeum.libs.uga.edu/bitstream/handle/10724/30246/gb-2014-15-6-r77.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.1186/gb-2014-15-6-r77", "https://www.ncbi.nlm.nih.gov/pubmed/24916971"]}, {"id": "c6729d97eca294655250b4e5b6f3bc9e8f88a35b", "title": "Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980\u20132015: a systematic analysis for the Global Burden of Disease Study 2015", "year": "2016", "pdf": ["http://bora.uib.no/bitstream/handle/1956/15721/1-s2.0-S0140673616310121-main.pdf?isAllowed=y&sequence=3", "https://dspace.flinders.edu.au/xmlui/bitstream/handle/2328/36867/Wang_Global_P2016.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616310121", "http://ecite.utas.edu.au/X/7E4B1A9D03DBCE7EE053021911AC393B", "https://doi.org/10.1016/S0140-6736%2816%2931012-1", "https://pub.uni-bielefeld.de/download/2907739/2910061", "https://researchbank.acu.edu.au/cgi/viewcontent.cgi?article=8005&context=fhs_pub", "https://touroscholar.touro.edu/cgi/viewcontent.cgi?article=1261&context=nymc_fac_pubs", "https://www.ncbi.nlm.nih.gov/pubmed/27733281"]}, {"id": "c40ef62409eaeaaabbfb9f1f5399722f99697b22", "title": "Making academic OER easy: Reflections on technology and openness at Oxford University", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c40e/f62409eaeaaabbfb9f1f5399722f99697b22.pdf"], "doi": []}, {"id": "91caadd2f9d5bc8fc70d43864a3c82daa3ba1a36", "title": "Urban Agriculture, Social Enterprise and Box Schemes in Cape Town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/91ca/add2f9d5bc8fc70d43864a3c82daa3ba1a36.pdf"], "doi": []}, {"id": "3e55b6b3d5d87c93d8f295378ad7a10c68c6d6c5", "title": "Le Corbusier\u2019s town-planning ideas and the ideas of history", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3e55/b6b3d5d87c93d8f295378ad7a10c68c6d6c5.pdf"], "doi": []}, {"id": "0c7638a7cea8d9d31ad2b321ace04e3c3e71db5e", "title": "Inclusive development ? State-led land development model in New Town", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7e3b/f5613f9ab768a70ea2060b9c01e9629d61ac.pdf"], "doi": []}, {"id": "0565b38859f76df988248e6054f0ed72156371ab", "title": "Smart cities in Europe", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0565/b38859f76df988248e6054f0ed72156371ab.pdf"], "doi": []}, {"id": "66f76b15ea078d93bec396277c8caf0e11185a66", "title": "A multi-centre pathologist survey on pathological processing and regression grading of colorectal cancer resection specimens treated by neoadjuvant chemoradiation", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s00428-012-1193-3", "https://www.ncbi.nlm.nih.gov/pubmed/22241181"]}, {"id": "408335ce2fdc622a97005027781183337117d4e4", "title": "Prevalence of chronic kidney disease and association with cardiovascular risk factors among teachers in Cape Town, South Africa", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4083/35ce2fdc622a97005027781183337117d4e4.pdf"], "doi": []}, {"id": "271df05e1eb4202a43fc54c93e823d851b65f848", "title": "Using spatial equity analysis in the process evaluation of environmental interventions to tackle obesity: the healthy towns programme in England", "year": "2013", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1475-9276-12-43&originUrl=http://equityhealthj.biomedcentral.com/article/10.1186/1475-9276-12-43", "http://researchonline.lshtm.ac.uk/1012244/1/Using%20spatial%20equity_GOLD%20VoR.pdf", "https://www.repository.cam.ac.uk/bitstream/handle/1810/244691/1475-9276-12-43.pdf?isAllowed=y&sequence=4"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23773457", "https://doi.org/10.1186/1475-9276-12-43", "https://www.repository.cam.ac.uk/bitstream/handle/1810/244691/1475-9276-12-43-S1.PDF?isAllowed=y&sequence=3"]}, {"id": "7426b4a618aadb2539f8bc0eb76ce4e1c18219cb", "title": "Community Technology Centres in Regional New South Wales: A Knowledge Based Analysis of ICT Enabled Development", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/7426/b4a618aadb2539f8bc0eb76ce4e1c18219cb.pdf"], "doi": []}, {"id": "a9627e7b43c8086a6533b07635a440c6d8fad77c", "title": "Radio monitoring of the hard state jets in the 2011 outburst of MAXI J1836 194", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.08634.pdf"], "doi": []}, {"id": "499d4055d22afb2b7a26505acfd7b4352e535172", "title": "3 Middle Dorset Communal Structures in the Oxford Bay Region", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/499d/4055d22afb2b7a26505acfd7b4352e535172.pdf"], "doi": []}, {"id": "209f9da2dbbc4fbe4e55014c8d638bdb2e3a98bc", "title": "Evaluation of a Cape Town Safety Intervention as a Model for Good Practice : A Partnership between Researchers , Community and Implementing Agency", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/10cd/435868e921f55e33738cb3773e4b090bc299.pdf"], "doi": []}, {"id": "49a67c73eb77b5e3c6f782194a89772be10e2a17", "title": "Large-scale grid computing for content-based image retrieval", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/49a6/7c73eb77b5e3c6f782194a89772be10e2a17.pdf"], "doi": []}, {"id": "09f9a93e33bb07469725678517dee8cf629378f0", "title": "Diagnosis and follow up of patients with primary cardiac tumours: a single-centre experience of myxomas", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/09f9/a93e33bb07469725678517dee8cf629378f0.pdf"], "doi": []}, {"id": "04233e0a02c83ffb357aab695922b49a504e23ad", "title": "Peoples' Use of, and Concerns about, Green Space Networks: A Case Study of Birchwood, Warrington New Town, UK.", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.ufug.2009.12.001"]}, {"id": "cfdca666e479386c8a0c95cbf2d7cc3bd8079345", "title": "Early Medieval ' Rural Centres ' and West Norfolk : A Growing Picture of Diversity , Complexity and Changing Lifestyles", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/cfdc/a666e479386c8a0c95cbf2d7cc3bd8079345.pdf"], "doi": []}, {"id": "8968ffdd45c7143fee035029c3182a94bd6251ff", "title": "Power to participants: a call for person\u2010centred HIV prevention services and research", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30334609", "https://doi.org/10.1002/jia2.25167"]}, {"id": "a1e5d7ab67f55562ea3c3810063823e8cdfac110", "title": "Predictors of in-hospital mortality and length of stay in community-acquired pneumonia: a 5-year multi-centre case control study of adults in a developing country.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27618923", "https://doi.org/10.1093/trstmh%2Ftrw057"]}, {"id": "d9af14ca969dd35236eff04777382c38ff7c7fdf", "title": "Continuity and change: the town, people and administration of Nottingham between c.1400 and c.1600", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d9af/14ca969dd35236eff04777382c38ff7c7fdf.pdf"], "doi": []}, {"id": "6e1a1c7cf6534387c26e9c04f03d51507a3164b3", "title": "Effects of diversity of green infrastructure network to well-being of residents in a small town", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6e1a/1c7cf6534387c26e9c04f03d51507a3164b3.pdf"], "doi": []}, {"id": "2dc7a1b471999771af33af8057158040b96f34c9", "title": "Religious competition, Creole identities, and economic development : foundations of competitive diversity in early Victorian Cape Town", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2dc7/a1b471999771af33af8057158040b96f34c9.pdf"], "doi": []}, {"id": "5976d9f7e99433aa2938709172c6bdfd9a81adc9", "title": "OXFORD RESEARCH IN SOCIAL AND CULTURAL ANTHROPOLOGY ABSTRACTS OF THESES IN SOCIAL AND CULTURAL ANTHROPOLOGY FOR WHICH HIGHER DEGREES WERE AWARDED BY THE UNIVERSITY OF OXFORD IN 1994", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5976/d9f7e99433aa2938709172c6bdfd9a81adc9.pdf"], "doi": []}, {"id": "c5c81e2608e70731868dc6bde4667729d9c3caf7", "title": "Integrated rapid transport: is the city of Cape Town utilising its full potential?", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c5c8/1e2608e70731868dc6bde4667729d9c3caf7.pdf"], "doi": []}, {"id": "54384020d1f76529fc2c2b5bbbc0166133dd3cca", "title": "\u201c Polycentrism and emerging sub-centres in the restructuring of metropolitan systems . The case of Barcelona Metropolitan Region ( RMB ) \u201d", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5438/4020d1f76529fc2c2b5bbbc0166133dd3cca.pdf"], "doi": []}, {"id": "b6b8f41344d74a62c3202a1fe6081fcd4761907c", "title": "Energy efficiency in cape town municipal buildings Southern African energy efficiency convention (SAEEC2011)", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6119258"]}, {"id": "e12ab9717a867c706ce8141de9cc430524c50774", "title": "DIMENSIONS OF WOMEN EMPOWERMENT WITH SPECIAL REFERENCE TO RANCHI TOWN IN JHARKHAND", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e12a/b9717a867c706ce8141de9cc430524c50774.pdf"], "doi": []}, {"id": "2768928e6104033e06ab14ae98b3f9980cb3d830", "title": "Collective Voice under Decentralized Bargaining: A Comparative Study of Work Reorganization in US and German Call Centres", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2768/928e6104033e06ab14ae98b3f9980cb3d830.pdf"], "doi": []}, {"id": "9c0412b8ba64b01788027eb93a9713a8c7a3d70d", "title": "Beyond the Union-Centred Approach : A Critical Evaluation of Recent Trade Union Elections in China", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9c04/12b8ba64b01788027eb93a9713a8c7a3d70d.pdf"], "doi": []}, {"id": "956201bf7ffa3027e31b3c4fcfb4c2744ea07a07", "title": "Challenges for nurses who work in community mental health centres in the West Bank, Palestine", "year": "2017", "pdf": ["http://orca-mwe.cf.ac.uk/97146/1/Marie%20et%20al%202017.pdf", "https://ijmhs.biomedcentral.com/track/pdf/10.1186/s13033-016-0112-4?site=ijmhs.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28066504", "https://doi.org/10.1186/s13033-016-0112-4"]}, {"id": "1963e3c3d443e417baa46ac8c10935cb20eddb59", "title": "A Critical Study of the Word meanings in Dictionaries: a case of Oxford Advanced Learners Dictionary, seventh edition.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1963/e3c3d443e417baa46ac8c10935cb20eddb59.pdf"], "doi": []}, {"id": "969ede50a33fc7fd16132f5deb1135fbcbfe191c", "title": "Community resource centres to improve the health of women and children in informal settlements in Mumbai: a cluster-randomised, controlled trial", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/1542860/1/Bracey_Osrin_1-s2.0-S2214109X16303631-main.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28193399", "https://doi.org/10.1016/S2214-109X%2816%2930363-1"]}, {"id": "666e8dabc7585d03b04b8cfa3e0142a496ab6ea1", "title": "Placing country at the centre: Decolonising justice for indigenous young people with Foetal Alcohol Spectrum Disorders (FASD)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/666e/8dabc7585d03b04b8cfa3e0142a496ab6ea1.pdf"], "doi": []}, {"id": "64d269f889b9d1e9a8c82edee2da2016cb664fd6", "title": "GROWING INCOMES, GROWING PEOPLE IN NINETEENTH-CENTURY TASMANIA KRIS INWOOD UNIVERSITY OF GUELPH HAMISH MAXWELL-STEWART UNIVERSITY OF TASMANIA DEB OXLEY UNIVERSITY OF OXFORD", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/64d2/69f889b9d1e9a8c82edee2da2016cb664fd6.pdf"], "doi": []}, {"id": "ce13fbb1268b3506baeeb8743bc5f81ae251040a", "title": "Centre for Economic and Financial Research at New Economic School Convergence between Russian Regions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ce13/fbb1268b3506baeeb8743bc5f81ae251040a.pdf"], "doi": []}, {"id": "9e0d708a5b2ba890af359309c7649d833120eb71", "title": "TOILETS AT LAST - PERCEPTIONS OF THE USERS OF 'PORTA POTTY' TOILETS IN JIM SE BOS INFORMAL SETTLEMENT IN PHILLIPI, CAPE TOWN", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e0d/708a5b2ba890af359309c7649d833120eb71.pdf"], "doi": []}, {"id": "2fdfe539a131ab29abfc92042b41a9078f995022", "title": "Towards people-centred health systems: a multi-level framework for analysing primary health care governance in low- and middle-income countries", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3f23/85ae8486a26f8584ea7f20a7111fa7abe9fa.pdf"], "doi": []}, {"id": "a74065b13913cb07064315a077f17d298d451bce", "title": "Cost of installing and operating an electronic clinical decision support system for maternal health care: case of Tanzania rural primary health centres", "year": "2015", "pdf": ["http://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-015-0780-9?site=bmchealthservres.biomedcentral.com", "http://old.biomedcentral.com/content/pdf/s12913-015-0780-9.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25888762", "https://doi.org/10.1186/s12913-015-0780-9"]}, {"id": "a2509bc931717eb0ab836a49dbf747b1e477dc07", "title": "Status of Astronomy in Namibia", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01440.pdf"], "doi": []}, {"id": "4b6585452be2b1d078fa194dc97257341de2495d", "title": "Looking and Acting: Vision and Eye Movements in Natural Behaviour, Michael F. Land, Benjamin W. Tatler. Oxford University Press, Oxford, United Kingdom (2009), 320 pp, $59.95, ISBN: 978-0-19-857094-3", "year": "2010", "pdf": ["http://audiosx.com/document-readbook/looking-and-acting-vision-and-eye-movements-in-natural-behaviour.pdf", "http://pinche.store/looking/and/looking_and_acting_vision_and_eye_movements_in_natural_behaviour.pdf"], "doi": ["https://doi.org/10.1016/j.ajo.2010.08.024"]}, {"id": "bc2a8aafaa5548beb378921eab3d909b5a2a1c71", "title": "African genomics project takes shape at Cape Town meeting", "year": "2011", "pdf": [], "doi": ["https://doi.org/10.1038/nm0411-401", "https://www.ncbi.nlm.nih.gov/pubmed/21475220"]}, {"id": "ed3e117b49892011f1dcca0a4c6e385a2d93e303", "title": "Optical and microwave control of germanium-vacancy center spins in diamond", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02947.pdf"], "doi": []}, {"id": "037d0354af8f8d48714f1dd5a39863dca25789fa", "title": "Current Lexicography Practice in Bantu with Specific Reference to the Oxford Northern Sotho School Dictionary", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/037d/0354af8f8d48714f1dd5a39863dca25789fa.pdf"], "doi": []}, {"id": "095dcd0c40ff391d382a2b20ef402db197eac99d", "title": "In the time of oil : piety, memory, and social life in an Omani town", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/095d/cd0c40ff391d382a2b20ef402db197eac99d.pdf"], "doi": []}, {"id": "1fe56e223082476450b8499540656e8b2f73ad65", "title": "Poverty and psychological health among AIDS-orphaned children in Cape Town, South Africa.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/dde2/611bcecd069aaa461850907f46f84b37f585.pdf"], "doi": []}, {"id": "cf4f039a2ebd45eb1a2906cb0b690d5f8cfbc338", "title": "Nationalist Politics and Everyday Ethnicity in a Transylvanian Town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cf4f/039a2ebd45eb1a2906cb0b690d5f8cfbc338.pdf"], "doi": []}, {"id": "a9aac0563aecfff86290fe2daac518497862a42a", "title": "A Soiling Index based on Quantitative Photography at Balliol College in Central Oxford, UK", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a9aa/c0563aecfff86290fe2daac518497862a42a.pdf"], "doi": []}, {"id": "949cc86fb1ae776cb0a8c22df76b2dbcb0bc03e4", "title": "Immunohematopoietic stem cell transplantation in Cape Town: a ten-year outcome analysis in adults.", "year": "2009", "pdf": ["https://core.ac.uk/download/pdf/82095631.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20118055", "https://doi.org/10.1016/S1658-3876%2809%2950020-9"]}, {"id": "6237f7a38c84aba9404cb09b1996e37d458ebd95", "title": "Changes in ambient dose equivalent rates around roads at Kawamata town after the Fukushima accident.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25953794", "https://doi.org/10.1093/rpd%2Fncv275"]}, {"id": "c54e8963d9a3c72858507819b8e22b07ad34eb44", "title": "Vacuum-induced Autler-Townes splitting in a superconducting artificial atom", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11118.pdf"], "doi": []}, {"id": "fbb522ded7d801d6f54b327e188fad5726d7a27f", "title": "Creating a New Town koine : Children and language change in Milton Keynes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/07ef/61715b607bc5f2d9c7e9ed3b6c9e72e13515.pdf"], "doi": []}, {"id": "17cd10460053cace74be2721a2b0a9d6a467018a", "title": "Willingness to donate eyes and its associated factors among adults in Gondar town, North West Ethiopia", "year": "2017", "pdf": ["https://new-bmcophthalmol.biomedcentral.com/track/pdf/10.1186/s12886-017-0577-1?site=new-bmcophthalmol.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28969612", "https://doi.org/10.1186/s12886-017-0577-1"]}, {"id": "aa7ebc28a8ea4b803fca021569a0240cd12a6a7e", "title": "User Centered Design Methods must also be User Centered: A Single Voice from the Field. A Study of User Centered Design in Practice", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aa7e/bc28a8ea4b803fca021569a0240cd12a6a7e.pdf"], "doi": []}, {"id": "a5b3109916a45195a14db06e2408ba188328ecdf", "title": "The paradoxical place of small towns in sustainable development policies", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a5b3/109916a45195a14db06e2408ba188328ecdf.pdf"], "doi": []}, {"id": "bdecc455c18434503f2cb2e743f7fbd580f6c6f5", "title": "Effects of 4ps Marketing Mix on Sales Performance of Automotive Fuels of Selected Service Stations in Nakuru Town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bdec/c455c18434503f2cb2e743f7fbd580f6c6f5.pdf"], "doi": []}, {"id": "6754b77d88a387a76a503c3ac52bead2e2f6ba43", "title": "Prevalence of Bovine Schistosomiasis and its Associated Risk Factor in and Around Debre Tabor Town, North West of Ethiopia", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6754/b77d88a387a76a503c3ac52bead2e2f6ba43.pdf"], "doi": []}, {"id": "df0a6f274d9f58d7d3a69d659f0fa47bc96b0229", "title": "Going to town: Visualized perspectives and navigation through virtual environments", "year": "2012", "pdf": ["http://ase.tufts.edu/psychology/spacelab/pubs/TBrunye_CiHB.pdf", "https://a4d1f174-a-62cb3a1a-s-sites.googlegroups.com/site/agardony/TBrunye_CiHB.pdf?attachauth=ANoY7cqDrALTtCKVdCI_Cidn_c6duBh59L8Xiz_sIFcO0v1nx2IcO8cO2OMFRS82pLEtCz4S0ubkYpMeY1IaD5lDU7nT5WH6lHJcyid7L1c--bVm7YjsclXY-zbSZAfAybeljNtE4XJdqp7ts1BKgmpy7hL_9POSDlS1TSKzFpPn76UZW_DEM-15FFCgyulbVOnTGajI_1AjSmYNEKGgehRFj5e8Tu5ryg%3D%3D&attredirects=0"], "doi": ["https://doi.org/10.1016/j.chb.2011.09.008"]}, {"id": "489cea47bfbd058e67d92786d6c4bc9f69199d98", "title": "The Africa Center for Biostatistical Excellence: a proposal for enhancing biostatistics capacity for sub-Saharan Africa.", "year": "2015", "pdf": ["https://cronfa.swan.ac.uk/Record/cronfa26548/Download/0026548-15052017131159.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26137996", "https://doi.org/10.1002/sim.6572"]}, {"id": "f3ed06b59c3c3665da1952afb82405aab9d1505e", "title": "A protective function for interleukin 17A in T cell\u2013mediated intestinal inflammation", "year": "2009", "pdf": [], "doi": ["https://doi.org/10.1038/ni.1736", "https://www.ncbi.nlm.nih.gov/pubmed/19448631"]}, {"id": "3711c43d5508ef33a37525652cdf1ab89df65eeb", "title": "VILLAGERS AND THE EXEM PLARY CENTER IN JAVA*", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3711/c43d5508ef33a37525652cdf1ab89df65eeb.pdf"], "doi": []}, {"id": "19e76e17e8cd6a545854211e719824fb0c04ac16", "title": "Making a humanities town : knowledge-infused clusters , civic entrepreneurship and civil society in local innovation systems", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/19e7/6e17e8cd6a545854211e719824fb0c04ac16.pdf"], "doi": []}, {"id": "a806ebd842f271bcb13f3ef30420298b996b79f5", "title": "Fine structure of the isovector giant dipole resonance in Pb 208: Characteristic scales and level densities", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.7652.pdf"], "doi": []}, {"id": "d15272be626d36c930c87bcbe31042fe44299a56", "title": "Electromagnetically induced transparency and Autler-Townes splitting in superconducting flux quantum circuits", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.7323.pdf"], "doi": []}, {"id": "5bc58161d9167d3dde75105a0190e3a71b4dadf0", "title": "Awareness and knowledge of glaucoma and associated factors among adults: a cross sectional study in Gondar Town, Northwest Ethiopia", "year": "2017", "pdf": ["https://bmcophthalmol.biomedcentral.com/track/pdf/10.1186/s12886-017-0542-z?site=bmcophthalmol.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28836945", "https://doi.org/10.1186/s12886-017-0542-z"]}, {"id": "d5075bb61d47be50359a94cacbc065f1761a09de", "title": "Exclusive breastfeeding practice and associated factors among mothers in Motta town, East Gojjam zone, Amhara Regional State, Ethiopia, 2015: a cross-sectional study", "year": "2016", "pdf": ["http://internationalbreastfeedingjournal.biomedcentral.com/track/pdf/10.1186/s13006-017-0103-3?site=internationalbreastfeedingjournal.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28261318", "https://doi.org/10.1186/s13006-017-0103-3"]}, {"id": "63ca27101c8b61b7790fa43656c6cb031ad198d3", "title": "Voxel-based morphometry multi-center mega-analysis of brain structure in social anxiety disorder", "year": "2017", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/135670.pdf", "http://umu.diva-portal.org/smash/get/diva2:1133862/FULLTEXT01.pdf", "http://uu.diva-portal.org/smash/get/diva2:1177992/FULLTEXT01.pdf", "http://www.henkvansteenbergen.com/wp-content/uploads/2017/10/Bas-Hoogendam-van-Steenbergen-et-al.-2017-Voxel-Based-Morphometry-Multi-Center-Mega-Analysis-of-Brain-Structure-in-Social-Anxiety-Disorder.pdf", "https://repository.ubn.ru.nl/bitstream/handle/2066/176758/176758.pdf?sequence=1", "https://www.rug.nl/research/portal/files/52134374/1_s2.0_S2213158217301912_main.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S2213158217301912", "https://doi.org/10.1016/j.nicl.2017.08.001", "https://www.ncbi.nlm.nih.gov/pubmed/30140607"]}, {"id": "63588e12728b502bd2e47d4380a9185d9ac4a3c6", "title": "Tick pests and vectors (Acari: Ixodoidea) in European towns: Introduction, persistence and management.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24183576", "https://doi.org/10.1016/j.ttbdis.2013.07.011"]}, {"id": "93c2d4a92de50025b36219acfed19d08069c5849", "title": "Who governs federally qualified health centers?", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23052684", "https://doi.org/10.1215/03616878-1898794"]}, {"id": "a0c59936a85736772c432f845a1ea3e1e62892a1", "title": "Qualitative Study on University Towns Health Education among Undergraduate in Chongqing University Town, China", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a0c5/9936a85736772c432f845a1ea3e1e62892a1.pdf"], "doi": []}, {"id": "31df0cfc0be5e5650a374784635ea9cea7e27dcc", "title": "Pedestrian Planning in City Centers: a Study of Guimar\u00e3es and Braga", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/31df/0cfc0be5e5650a374784635ea9cea7e27dcc.pdf"], "doi": []}, {"id": "7263cb6b353021a8d168905978e134b4093b0662", "title": "Exploring family-centered care among pediatric oncology nurses.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/7263/cb6b353021a8d168905978e134b4093b0662.pdf"], "doi": []}, {"id": "81e81dd3c7ed35eb94844306433cb718b7302be9", "title": "Teachers \u2019 Emotional Intelligence and Sense of Self-efficacy Beliefs : A study on Second Cycle Public Primary School EFL Teachers in Bahir Dar Town , Ethiopia", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81e8/1dd3c7ed35eb94844306433cb718b7302be9.pdf"], "doi": []}, {"id": "1bd51e4ed44b28e509ad374c194e98143629c8a6", "title": "Premarital screening for hemoglobinopathies: experience of a single center in Kurdistan, Iraq.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25613574", "https://doi.org/10.1159/000368960"]}, {"id": "59bdce940617a364c58c462386e572162aca4864", "title": "Residential developments in small-town America : assessment and regulations", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/59bd/ce940617a364c58c462386e572162aca4864.pdf"], "doi": []}, {"id": "e968257f80266e30fc71e716ee51d4131ab0c2f8", "title": "It\u2019s a long, long walk: accessibility to hospitals, maternity and integrated health centers in Niger", "year": "2012", "pdf": ["https://ij-healthgeographics.biomedcentral.com/track/pdf/10.1186/1476-072X-11-24"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22737990", "https://doi.org/10.1186/1476-072X-11-24"]}, {"id": "7ae561498e9e6b2cf01500a91243cba0b9525394", "title": "Oncological efficiency analysis of laparoscopic liver resection for primary and metastatic cancer: a single-center UK experience.", "year": "2012", "pdf": ["https://archsurg.jamanetwork.com/journals/SURG/articlepdf/1107311/soa110019.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22250111", "https://doi.org/10.1001/archsurg.2011.856"]}, {"id": "ef0c95b4ffeb7999803140f9f2b8f2c475cc1748", "title": "Trace Interviews: An Actor-Centered Approach", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef0c/95b4ffeb7999803140f9f2b8f2c475cc1748.pdf"], "doi": []}, {"id": "bdbd930115ce77433084d7768c75128bb7bd78ba", "title": "How polycentric is a monocentric city ? : centers , spillovers and hysteresis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bdbd/930115ce77433084d7768c75128bb7bd78ba.pdf"], "doi": []}, {"id": "cad0980c55315a373d41359d4e532de3d73c09bf", "title": "Water Quality and Eutrophication: The Effects of Sewage Outfalls on Waters and Reefs Surrounding Stone Town, Zanzibar", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/cad0/980c55315a373d41359d4e532de3d73c09bf.pdf"], "doi": []}, {"id": "057931eaaa488eaabc71cae956b8aef5554cf06e", "title": "Moderators of outcome in a brief family-centered intervention for preventing early problem behavior.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0579/31eaaa488eaabc71cae956b8aef5554cf06e.pdf"], "doi": []}, {"id": "ee71648876a5729f25a19a068966c7ce552f223f", "title": "Water and Sanitation Utilities in the Global South: Re-centering the Debate on \u201cEfficiency\u201d", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ee71/648876a5729f25a19a068966c7ce552f223f.pdf"], "doi": []}, {"id": "bf3a217750df32f2cc0c71cdacd554906a3a76d1", "title": "Association of a de novo 16q copy number variant with a phenotype that overlaps with Lenz microphthalmia and Townes-Brocks syndromes", "year": "2009", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1471-2350-10-137&originUrl=http://bmcmedgenet.biomedcentral.com/article/10.1186/1471-2350-10-137", "http://images.biomedsearch.com/20003547/1471-2350-10-137.pdf?AWSAccessKeyId=AKIAIBOKHYOLP4MBMRGQ&Expires=1498089600&Signature=cgQ7SlLZIpF1gF1EBdK31MP2wmU%3D"], "doi": ["https://doi.org/10.1186/1471-2350-10-137", "https://www.ncbi.nlm.nih.gov/pubmed/20003547"]}, {"id": "7720bc111a6f279315c6fd406aae78b99b378445", "title": "A Comparative Analysis of Technology Innovation Centers of Excellence Across the World: Secrets to Success", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7720/bc111a6f279315c6fd406aae78b99b378445.pdf"], "doi": []}, {"id": "ca43ff262f67ea13ac93f31849023bee3d9ed836", "title": "Nutrition Smoothing: Can Proximity to Towns and Cities Protect Rural Children against Seasonal Variation in Agroclimatic Conditions at Birth?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ca43/ff262f67ea13ac93f31849023bee3d9ed836.pdf"], "doi": []}, {"id": "6739367ba7090a6617d09bcc9f5bdbd476f1def3", "title": "Local Management Response to Corporative Restructuring: A case study of a Company Town", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6739/367ba7090a6617d09bcc9f5bdbd476f1def3.pdf"], "doi": []}, {"id": "ad0189d70aabe6a57138a9ed32ec852fae7363a7", "title": "A COMPUTER MOVIE SIMULATING URBAN GROWTH IN THE DETROIT REGION", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ad01/89d70aabe6a57138a9ed32ec852fae7363a7.pdf"], "doi": []}, {"id": "66af86391b1c2ce5c7ceff54ef78345629f9572d", "title": "Making Meatville: belonging and migration in a Midwest meatpacking town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f6d5/ffd742706461af00aed8544942f6f3e4f71a.pdf"], "doi": []}, {"id": "359ec4b45d5d855e5dd166efed888a20e3c28312", "title": "Development of the Oxford Hills Healthy Moms Project using a social marketing process: a community-based physical activity and nutrition intervention for low-socioeconomic-status mothers in a rural area in Maine.", "year": "2011", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20660151", "https://doi.org/10.1177/1524839909355521"]}, {"id": "b1e5ed62e47c11e85b6f8f16da68477a4c850332", "title": "Cryogenic tritium-hydrogen-deuterium and deuterium-tritium layer implosions with high density carbon ablators in near-vacuum hohlraums", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b1e5/ed62e47c11e85b6f8f16da68477a4c850332.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "4cee70068cc60882a81de238237b40039ce8871a", "title": "Performance Evaluation of Roundabouts for Traffic Delay and Crash Reductions in Oxford, MS", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4cee/70068cc60882a81de238237b40039ce8871a.pdf"], "doi": []}, {"id": "492916f6c81bd9a07bcec26a2c28cfc5cd927c34", "title": "Predictors of perceived empathy among patients visiting primary health-care centers in central Ethiopia.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22302068", "https://doi.org/10.1093/intqhc%2Fmzs001"]}, {"id": "a97e588a951a8fed93594c6d17a307b01324f09c", "title": "Characteristics of invasive Staphylococcus aureus infections in three regions of Korea, 2009-2011: a multi-center cohort study", "year": "2013", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1471-2334-13-581&originUrl=http://bmcinfectdis.biomedcentral.com/article/10.1186/1471-2334-13-581"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24321206", "https://doi.org/10.1186/1471-2334-13-581"]}, {"id": "582f49242c827743dd2766bd25964e63bd8f4778", "title": "Service Design and Change of Systems : Human-Centered Approaches to Implementing and Spreading Service Design", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/582f/49242c827743dd2766bd25964e63bd8f4778.pdf"], "doi": []}, {"id": "a1abede8f0751f117ef42fe8669c0604c5ee4d0d", "title": "Trophic downgrading of planet Earth.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/65bb/7d78202144915c03953d50834ae20767722a.pdf"], "doi": []}, {"id": "0f9e0503347712113fded0c6b1a13bc63c17b922", "title": "Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools.", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0f9e/0503347712113fded0c6b1a13bc63c17b922.pdf"], "doi": []}, {"id": "ca19cd92e6175927121b78a4350dcc0bb796c562", "title": "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990\u20132015: a systematic analysis for the Global Burden of Disease Study 2015", "year": "2016", "pdf": ["http://discovery.ucl.ac.uk/1524102/1/1-s2.0-S0140673616316786-main.pdf", "http://sro.sussex.ac.uk/65361/1/PIIS0140673616316786.pdf", "https://cronfa.swan.ac.uk/Record/cronfa33993/Download/0033993-27062017170552.pdf", "https://digital.library.adelaide.edu.au/dspace/bitstream/2440/104804/2/hdl_104804.pdf", "https://kclpure.kcl.ac.uk/portal/files/81553510/Global_regional_and_national_VOS_Publishedonline6October2016_GOLD_VoR_CC_BY_.pdf", "https://research-information.bristol.ac.uk/files/124627566/Looker2015Nonfatal.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616316786", "http://www.wacmhc.org/programs/data-analysis/item/download/11_7a3a8e2825fbfc0b39c7bffa4850c788", "https://doi.org/10.1016/S0140-6736%2816%2931678-6", "https://pub.uni-bielefeld.de/download/2907740/2910115", "https://researchbank.acu.edu.au/cgi/viewcontent.cgi?article=7668&context=fhs_pub&httpsredir=1&referer=", "https://touroscholar.touro.edu/cgi/viewcontent.cgi?article=1260&context=nymc_fac_pubs", "https://www.ncbi.nlm.nih.gov/pubmed/27733282"]}, {"id": "99dbc738e30e19d5c5485362387aa663387de0bd", "title": "How Would You Manage Opioid Use in These Three Patients?: Grand Rounds Discussion From Beth Israel Deaconess Medical Center.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28384742", "https://doi.org/10.7326/M17-0287"]}, {"id": "f1b51bba63eefd19e994119378782cb046284548", "title": "Natural Commercial Centers: Regeneration Opportunities and Urban Challenges", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f1b5/1bba63eefd19e994119378782cb046284548.pdf"], "doi": []}, {"id": "db8cc48064ef9580c2c30dc8442e5543fd8aa8d2", "title": "Towns ( and villages ) : definitions and implications in a historical setting", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db8c/c48064ef9580c2c30dc8442e5543fd8aa8d2.pdf"], "doi": []}, {"id": "3787b12ef27080710ead9019c7bbcf19a7d254dd", "title": "Insight, part of a Special Feature on Urban ecological and social-ecological research in the City of Cape Town An Ecological View of the History of the City of Cape Town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3787/b12ef27080710ead9019c7bbcf19a7d254dd.pdf"], "doi": []}, {"id": "df9ab40853c3ef432ce1f0b33f7df28a421b633a", "title": "Towards Autonomous Robotic Systems: 14th Annual Conference, TAROS 2013, Oxford, UK, August 28--30, 2013, Revised Selected Papers", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cac8/7201032e06942397c276a6fb15112dda8985.pdf"], "doi": []}, {"id": "9be428c9383d47b86570b1b9fc20faf006346c5d", "title": "Community detection in graphs", "year": "2010", "pdf": ["https://arxiv.org/pdf/0906.0612.pdf"], "doi": []}, {"id": "4955789a0547c0da34d587531b9c59f47da820e1", "title": "An international bioinformatics infrastructure to underpin the Arabidopsis community.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8c02/ec9b030310ccc5e95f005b39051029559d8c.pdf"], "doi": []}, {"id": "5ebf9ddecb631a4ffae2546b059a211351a24ef7", "title": "Health at the margins of migration: culture-centered co-constructions among Bangladeshi immigrants.", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22548461", "https://doi.org/10.1080/10410236.2012.666956"]}, {"id": "757bb90aa1b2659469da9ef8048484062f7a2b40", "title": "Defining the Transcriptome Assembly and Its Use for Genome Dynamics and Transcriptome Profiling Studies in Pigeonpea (Cajanus cajan L.)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/757b/b90aa1b2659469da9ef8048484062f7a2b40.pdf"], "doi": []}, {"id": "c26271e36df66f92c174d07f3aee4f11b3a8c9f0", "title": "Security interests in mobile equipment: Lawmaking lessons from the Cape Town convention", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c262/71e36df66f92c174d07f3aee4f11b3a8c9f0.pdf"], "doi": []}, {"id": "20e226a7a86ab4468c8bc11eb7cba4d8abd37d1d", "title": "THE PERCEPTION OF THE URBANIZED AREAS IN CASE STUDY OF THE TOWN ROSICE", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/20e2/26a7a86ab4468c8bc11eb7cba4d8abd37d1d.pdf"], "doi": []}, {"id": "e4889b117bb2687987fc8aa01c95bd55b56f75d7", "title": "Knowledge-based service industry in a South African university town : The case of Stellenbosch", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e488/9b117bb2687987fc8aa01c95bd55b56f75d7.pdf"], "doi": []}, {"id": "9d1e1e3b8e3826a86ebfdcd00d893e76cad47be3", "title": "Cahiers d ' \u00e9tudes africaines The Prayer Economy in a Malian Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9d1e/1e3b8e3826a86ebfdcd00d893e76cad47be3.pdf"], "doi": []}, {"id": "aa0013211506a20c26fc39f8dc657c756d050770", "title": "On and Off the Record : The Production of Legitimacy in an Argentine Border Town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/aa00/13211506a20c26fc39f8dc657c756d050770.pdf"], "doi": []}, {"id": "cf70b705e26357c03a6196f80ccd8d8d28160418", "title": "The Local Experiences of Reformist Islam in a \u2018 Muslim \u2019 Town in Colonial India : The Case of", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cf70/b705e26357c03a6196f80ccd8d8d28160418.pdf"], "doi": []}, {"id": "e04bbfd12b07c03895eeafb52b3d92ba99b0e84e", "title": "Geographic distribution and regional impacts of Oxyops vitiosa (Coleoptera: Curculionidae) and Boreioglycaspis melaleucae (Hemiptera: Psyllidae), biological control agents of the invasive tree Melaleuca quinquenervia.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/e04b/bfd12b07c03895eeafb52b3d92ba99b0e84e.pdf"], "doi": []}, {"id": "f81b1b837eb1913b6ac75cd209e5185dec58338f", "title": "Gastric Cancer Working Group report.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f81b/1b837eb1913b6ac75cd209e5185dec58338f.pdf"], "doi": []}, {"id": "57289461c821c4041be76b0dbd6429de5c8f76df", "title": "Demonstration of ignition radiation temperatures in indirect-drive inertial confinement fusion hohlraums.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5728/9461c821c4041be76b0dbd6429de5c8f76df.pdf"], "doi": []}, {"id": "57107fb094067f2c297e841a748d1b2662b8e8a4", "title": "Lorentz mapping of magnetic fields in hot dense plasmas.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3179/43e39fba35cfb0cbe0488faa609a4d3e0cba.pdf"], "doi": []}, {"id": "6431476d45fb97a4aeb5c1ec82425ddb15de1180", "title": "Neuronal Plasticity and Multisensory Integration in Filial Imprinting", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6431/476d45fb97a4aeb5c1ec82425ddb15de1180.pdf"], "doi": []}, {"id": "ed69b9ebd8fde392e0fc828d49a1ae2ae4e3dc9c", "title": "Promoting city center parking qualities; using urban design guidelines", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ed69/b9ebd8fde392e0fc828d49a1ae2ae4e3dc9c.pdf"], "doi": []}, {"id": "9a021b427ef9610c057d3ff33f4499d667c9f5a3", "title": "A methodological approach to preserving Delaware's small town suburban landscapes", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9a02/1b427ef9610c057d3ff33f4499d667c9f5a3.pdf"], "doi": []}, {"id": "53556d957a70fed7abab72c5ec1e56fbc9e98082", "title": "The Temple: A Multi-Faceted Center and Its Problems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5355/6d957a70fed7abab72c5ec1e56fbc9e98082.pdf"], "doi": []}, {"id": "55ebdec709be49cb3a8ebdc754fd71721739f38a", "title": "Mobility along Socio-cultural Borders : Brisk-walking in Bedouin Towns", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/55eb/dec709be49cb3a8ebdc754fd71721739f38a.pdf"], "doi": []}, {"id": "46adc650342d12f43ea2af12d717e57bb6a5ae4c", "title": "The suburban townscape its origin and perspectives based on the example of a border town in Hungary ( Kom\u00e1rom-Kopp\u00e1nymonostor )", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/46ad/c650342d12f43ea2af12d717e57bb6a5ae4c.pdf"], "doi": []}, {"id": "f59011244e911bb9a9d708343d7a1f6d2955bafd", "title": "A long way from Cape Town: a personal and professional journey from South Africa to the USA.", "year": "2011", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21724625", "https://doi.org/10.1093/eurheartj%2Fehr168"]}, {"id": "51dd4f7e34f09cd0187680fef1ec18d5ab776e9b", "title": "Introduction: Highlights of HeartWeek 2013 at the Sixth World Congress of Paediatric Cardiology and Cardiac Surgery in Cape Town South Africa.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/51dd/4f7e34f09cd0187680fef1ec18d5ab776e9b.pdf"], "doi": []}, {"id": "35ac0ca19c295dfca77bda36c9039d1282a46326", "title": "Best practices in family-centered early intervention for children who are deaf or hard of hearing: an international consensus statement.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9d6a/d86deff54627339e0efa99108d97a7b57aef.pdf"], "doi": []}, {"id": "439d62f1b020e94b1a75276f0eba3049a509e671", "title": "Kitchen , Dining and Diet in the 18 th Century Aristocratic Palace \u2013 a Proposal for the New Permanent Exhibition in the Museum of the Town of Trogir", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/439d/62f1b020e94b1a75276f0eba3049a509e671.pdf"], "doi": []}, {"id": "5aee918bce77d7efb8e450159306e2a7648f9b64", "title": "Food Habit Transitions in the Urban Areas of Low-Income Countries \u2013 A study on how globalization and urbanization influence food habits among primary pupils in Babati town , Tanzania", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5aee/918bce77d7efb8e450159306e2a7648f9b64.pdf"], "doi": []}, {"id": "7fb960c992aa99f26dd9430fda0fceb3f247f6fc", "title": "Ebola Virus Diagnostics: The US Centers for Disease Control and Prevention Laboratory in Sierra Leone, August 2014 to March 2015.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7fb9/60c992aa99f26dd9430fda0fceb3f247f6fc.pdf"], "doi": []}, {"id": "c63cecb09ac8c985b92315668cfa97c1d07bc983", "title": "Directions and peculiarities of territorial functional changes in a medium size Ukrainian town in the post-soviet period of development (case of Berdychiv)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c63c/ecb09ac8c985b92315668cfa97c1d07bc983.pdf"], "doi": []}, {"id": "299059f8f66b3b3656ec2812312e4b1160eb2ffe", "title": "A Geographic Information Systems (GIS)-Based Approach to Derivative Map Production and Visualizing Bedrock Topography within the Town of Rutland, Vermont, USA", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2990/59f8f66b3b3656ec2812312e4b1160eb2ffe.pdf"], "doi": []}, {"id": "6ee06dcff159567c1cde1e8869a74c3798bac30f", "title": "The impact of Information Systems usage on productivity: A retrospective analysis and an empirical study in Cape Town tourism of South Africa", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ee0/6dcff159567c1cde1e8869a74c3798bac30f.pdf"], "doi": []}, {"id": "166b0eca7904fec6285a8607d0ed199b3f083687", "title": "Rapid Urbanization , Squatter Settlements and Housing Policy Interface in Ethiopia , the Case of Nekemte Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/166b/0eca7904fec6285a8607d0ed199b3f083687.pdf"], "doi": []}, {"id": "44122749137db37f385f37a2ac48b9af974288ea", "title": "The contribution of town functions to the development of rural areas: empirical analyses for Ethiopia", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4412/2749137db37f385f37a2ac48b9af974288ea.pdf"], "doi": []}, {"id": "de8ce69d3b8c2936006f568e2fe688f4cbfd91b0", "title": "Inequality and Involvement : Participatory Trends in the Politics of a Rural Maine Town", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/de8c/e69d3b8c2936006f568e2fe688f4cbfd91b0.pdf"], "doi": []}, {"id": "a98facbe02d8f1a4487534fd0cae81545bacd1e2", "title": "Survey Based Study on Attitude of Final Year Degree Students towards Value Education in Chittoor Town .", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a98f/acbe02d8f1a4487534fd0cae81545bacd1e2.pdf"], "doi": []}, {"id": "d0a2505486ed8b5f17c659fdea01cb4c27638722", "title": "Industrial landscape preservation: An expanded approach to protect the working small town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d0a2/505486ed8b5f17c659fdea01cb4c27638722.pdf"], "doi": []}, {"id": "371ffb63b0d93ae8418ab6d78d08867e6a48cd21", "title": "Decoherence, Autler-Townes effect, and dark states in two-tone driving of a three-level superconducting system", "year": "2011", "pdf": ["https://arxiv.org/pdf/1103.2223.pdf"], "doi": []}, {"id": "024a454de23682a2006e23e8fd9a2ad34cb9da60", "title": "Over Growth: a metabolic densification of Cape Town", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/024a/454de23682a2006e23e8fd9a2ad34cb9da60.pdf"], "doi": []}, {"id": "41e95278ba909b1df049e3a4a21d5b5a9ea56df8", "title": "An Internship with the School for Field Studies, Center for Rainforest Studies, Yungaburra, Queensland, Australia", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/41e9/5278ba909b1df049e3a4a21d5b5a9ea56df8.pdf"], "doi": []}, {"id": "94e4e972a39333c6662e71a828b89074b283049d", "title": "Japanese media tourism as world-building: Akihabara\u2019s Electric Town and Ikebukuro\u2019s Maiden Road", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/94e4/e972a39333c6662e71a828b89074b283049d.pdf"], "doi": []}, {"id": "4bca8c72696ad703fa913bf50fadf342cb35126e", "title": "Exploring Intravaginal Ring Acceptability for Disease Prevention Among At-Risk Community Members in Cape Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bca/8c72696ad703fa913bf50fadf342cb35126e.pdf"], "doi": []}, {"id": "0e49252f3321f4d701a70569d145b75ae0d2838c", "title": "The Chinese from Indonesia in the Netherlands and their heritage Chinese Indonesian Heritage Center (CIHC)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e49/252f3321f4d701a70569d145b75ae0d2838c.pdf"], "doi": []}, {"id": "049cd28e32d30f4383d54781c7f0efd0fa24831d", "title": "Utilizing a Sampling Center as a Marketing Research optimization model For Vietnamese manufacturers", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/049c/d28e32d30f4383d54781c7f0efd0fa24831d.pdf"], "doi": []}, {"id": "de19c7ed09ef4b6ad79b582346afe14c36121553", "title": "Saskatchewan Town Hall Opera Houses and Community Performance (ca. 1883-1913)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/de19/c7ed09ef4b6ad79b582346afe14c36121553.pdf"], "doi": []}, {"id": "bf1506d4ae33dcf84f182c3692bf9ba6645a58fa", "title": "Study on the Prevalence and Risk Factors of Poultry Coccidiosis in Mekelle Town , North Ethiopia", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bf15/06d4ae33dcf84f182c3692bf9ba6645a58fa.pdf"], "doi": []}, {"id": "aa25ce16d448d25bba0454e881f2ae578c147281", "title": "Changes Mudt Deter ' s 13-Vote Edge Gives GOP Representation on Town Committee", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/aa25/ce16d448d25bba0454e881f2ae578c147281.pdf"], "doi": []}, {"id": "6f9a4a4a16c8a2bdee0fac604da8ca8c3007fabe", "title": "Investigating Town Design and Social Organization at Port Tobacco, Maryland Through the Use of Archaeology and Geophysics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6f9a/4a4a16c8a2bdee0fac604da8ca8c3007fabe.pdf"], "doi": []}]} \ No newline at end of file +{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "citations": [{"id": "b58417561ea400b60bd976104e43b1361e1314ba", "title": "Target Tracking In Real Time Surveillance Cameras and Videos", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06659.pdf"], "doi": []}, {"id": "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", "title": "MCMC Supervision for People Re-identification in Nonoverlapping Cameras", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a997/1dbf42b913503198e63286b7656a6b62b1f5.pdf"], "doi": []}, {"id": "784705fdf2c412fcf764841b980cfb85ef3944c1", "title": "A Complete Variational Tracker", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7847/05fdf2c412fcf764841b980cfb85ef3944c1.pdf"], "doi": []}, {"id": "4452c36dc4c5e9f11d041489c8ff2e7006d33c80", "title": "A Computational Analysis of Recent Multi-Object Tracking Methods Based on Particle Filter , HMM and Appearance Information of Objects", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4452/c36dc4c5e9f11d041489c8ff2e7006d33c80.pdf"], "doi": []}, {"id": "6795a5a06790ee4fbe5b873b563b34b0be6ad6b3", "title": "LSTM-based multi-label video event detection", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5532-x"]}, {"id": "6106028c73d22570a01212814e1e4f4edb4abed6", "title": "Counting moving people in crowds using motion statistics of feature-points", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6106/028c73d22570a01212814e1e4f4edb4abed6.pdf"], "doi": ["http://doi.org/10.1007/s11042-013-1367-2"]}, {"id": "1db11bd3e2d0794cbb0fab25508b494e0f0a46ea", "title": "Multi-target tracking by online learning of non-linear motion patterns and robust appearance models", "year": "2012", "pdf": ["http://iris.usc.edu/Outlines/papers/2012/yang-nevatia-cvpr-1-2012.pdf", "http://iris.usc.edu/people/yangbo/papers/CVPR12_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247892", "http://doi.org/10.1109/CVPR.2012.6247892"]}, {"id": "d7df298c94b33bc500f97406313fad1d5ed7060f", "title": "Learning pedestrian dynamics with kriging", "year": "2016", "pdf": ["https://www.computer.org/csdl/proceedings/icis/2016/0806/00/07550877.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550877", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2016.7550877", "http://doi.org/10.1109/ICIS.2016.7550877"]}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395274", "http://doi.org/10.1109/ACCESS.2018.2850284", "https://doi.org/10.1109/ACCESS.2018.2850284"]}, {"id": "26d25c21a4da2429d5b923b86410ad73320d61ba", "title": "Stereo Reconstruction of Droplet Flight Trajectories", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888516", "http://doi.org/10.1109/TPAMI.2014.2353638", "https://www.ncbi.nlm.nih.gov/pubmed/26353298", "https://www.wikidata.org/entity/Q40558253"]}, {"id": "a518ca2df1b74e3080c93cea11e4b769c82d33eb", "title": "SAGTA: Semi-automatic Ground Truth Annotation in crowd scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890539", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2014.6890539", "http://doi.org/10.1109/ICMEW.2014.6890539"]}, {"id": "498c8abcef3b709be97167ea5870e85d0c586945", "title": "SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354239", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00135", "http://doi.org/10.1109/WACV.2018.00135"]}, {"id": "82fb85517ee1bb3746348221de3d5347c6b3ed0e", "title": "Markov chain Monte Carlo based video tracking algorithm", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1134/S0361768817040053"]}, {"id": "715d3eb3665f46cd2fab74d35578a72aafbad799", "title": "A Peak Detection Method for Understanding User States for Empathetic Intelligent Agents", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2569320"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "year": "2016", "pdf": ["http://homepages.laas.fr/lerasle/pdf/eccv2016.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46484-8_47", "https://hal.laas.fr/hal-01763166/document"]}, {"id": "7e53ab07d0ce28484830329036a1fc018b9644dd", "title": "Online multiple people tracking-by-detection in crowded scenes", "year": "2014", "pdf": ["http://jacet.srbiau.ac.ir/pdf_6708_d824303654a6fd0f7d67304a2e93c7b3.html"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000725", "http://doi.org/10.1109/ISTEL.2014.7000725"]}, {"id": "273b973092a4491974d173cc5258c74aede692cc", "title": "Monocular Long-Term Target Following on UAVs", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w3/papers/Li_Monocular_Long-Term_Target_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789501", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.11", "http://doi.org/10.1109/CVPRW.2016.11"]}, {"id": "256c91400aa7e92160c889654614f70213947f06", "title": "Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.7484.pdf"], "doi": []}, {"id": "73596313fe0a93c2c0ea345ce854517140b9eb1d", "title": "Sampling Operator to Learn the Scalable Correlation Filter for Visual Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8613772"]}, {"id": "a09c071f8468897176ce4351de36e7c8b7c2dea6", "title": "Object Tracking over a Multiple-Camera Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153895", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.53", "http://doi.org/10.1109/BigMM.2015.53"]}, {"id": "ceb9a051f1273c7159aca80891f21ca3357b68ab", "title": "DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976927", "http://doi.org/10.1109/ICPR.2014.217"]}, {"id": "ac611487ad19e0ff182890ed567c449bfaabd0f4", "title": "Beyond Pedestrians: A Hybrid Approach of Tracking Multiple Articulating Humans", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045879", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.25", "http://doi.org/10.1109/WACV.2015.25"]}, {"id": "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "title": "Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "24f367315bdb96ac001d568b8e2c0ff022845ca5", "title": "MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976928", "http://doi.org/10.1109/ICPR.2014.218"]}, {"id": "bb7c093c41fcec269b6a7a950902cc95429bb289", "title": "Robust video object tracking via Bayesian model averaging based feature fusion", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00475.pdf"], "doi": []}, {"id": "35af45f799c65d21bbb3cd24f666de861bad33b0", "title": "Multi-Target Tracking by Discrete-Continuous Energy Minimization", "year": "2016", "pdf": ["http://www.milanton.de/files/pami2016/pami2016-anton.pdf", "http://www.visinf.tu-darmstadt.de/media/visinf/vi_papers/2015/milan-pami-preprint.pdf", "https://download.visinf.tu-darmstadt.de/papers/2016-pami-milan-multi_target_tracking_dc-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346505", "http://doi.org/10.1109/TPAMI.2015.2505309", "https://www.ncbi.nlm.nih.gov/pubmed/26660703", "https://www.wikidata.org/entity/Q40218457"]}, {"id": "66c4f727e9d6caccc4d3154de174258ce63b9a35", "title": "Demo paper: Summarization system for movements of multiple objects", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618234", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2013.6618234", "http://doi.org/10.1109/ICMEW.2013.6618234"]}, {"id": "8e0b92b7ccf6a2d110011b79637d257805d8c96e", "title": "Visual Tracking: An Experimental Survey", "year": "2013", "pdf": ["http://crcv.ucf.edu/papers/Tracking_Survey.pdf", "http://crcv.ucf.edu/papers/trackerSurvey.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/SmeuldersTPAMI2014/SmeuldersTPAMI2014.pdf", "https://pure.uva.nl/ws/files/2110600/156976_SmeuldersTPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6671560", "http://doi.org/10.1109/TPAMI.2013.230", "https://www.ncbi.nlm.nih.gov/pubmed/24277945", "https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://www.wikidata.org/entity/Q40558209"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "23515e0f5fbcba94dc78e719c127ea42d087c81d", "title": "A Fast and Robust Pedestrian Detection Framework Based on Static and Dynamic Information", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Hong_Liu17/publication/230731207_A_fast_pedestrian_detection_framework_based_on_static_and_dynamic_information/links/0fcfd5100fd1f3baa9000000.pdf", "http://www.z-wang.com/publications/2012_icme_xu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298405", "http://doi.ieeecomputersociety.org/10.1109/ICME.2012.66", "http://doi.org/10.1109/ICME.2012.66"]}, {"id": "78d7fe93404686eeaefce0aa3d9200272c0f4413", "title": "Single/cross-camera multiple-person tracking by graph matching", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.02.040"]}, {"id": "4ebe60a33905a1e8c3e8b961ecbf2a5ddac0bc18", "title": "Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528315", "http://doi.org/10.1109/ACCESS.2018.2879535"]}, {"id": "98220d35ae6a3ba745f7dea1434f000ca60c62c0", "title": "Multi-object Tracking using Particle Swarm Optimization on Target Interactions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9822/0d35ae6a3ba745f7dea1434f000ca60c62c0.pdf"], "doi": []}, {"id": "0e181a1b4c63143466c9ac858d46491f1ad11092", "title": "Track Creation and Deletion Framework for Long-Term Online Multiface Tracking", "year": "2013", "pdf": ["http://liris.cnrs.fr/Documents/Liris-6297.pdf", "http://publications.idiap.ch/downloads/papers/2012/Duffner_IEEE-IP_2012.pdf", "https://infoscience.epfl.ch/record/192398/files/Duffner_IEEE-IP_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248702", "http://doi.org/10.1109/TIP.2012.2210238", "https://www.ncbi.nlm.nih.gov/pubmed/22851262", "https://www.wikidata.org/entity/Q46393382"]}, {"id": "a7e20614f707cd8fb02cec5ba60ffcf48ea66d92", "title": "Faster R-CNN Scene Specialization with a Sequential Monte-Carlo Framework", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797042", "http://doi.org/10.1109/DICTA.2016.7797042"]}, {"id": "909f91c1957ce2bf9d76ee2109a865e87bf17057", "title": "GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d95d/505a959c9fc8090cb84287dce92128fce63e.pdf"], "doi": []}, {"id": "d1e8a08aafc64661206c495e963e0b244dfe59cd", "title": "R 4-A . 1 : Dynamics-Based Video Analytics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa42/0d32c48a3fd526a91285673cd55ca9fe2447.pdf"], "doi": []}, {"id": "c04236e02381fb8e084069559e92900d4ec1af7a", "title": "Effective real-time vehicle tracking using discriminative sparse coding on local patches", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.25.1.013035"]}, {"id": "244377600b1474e1da3b86a08683e629990d1417", "title": "Embedded Vision System for Atmospheric Turbulence Mitigation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w14/papers/Deshmukh_Embedded_Vision_System_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789602", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.112", "http://doi.org/10.1109/CVPRW.2016.112"]}, {"id": "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "title": "R\u00e9-identification de personnes : Application aux r\u00e9seaux de cam\u00e9ras \u00e0 champs disjoints", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e0f3/b8cbf90096bb0d4b36324c6fe7db89f580b9.pdf"], "doi": []}, {"id": "a7d09489ce188979fb7767f43f27240ece05aa33", "title": "Fast Pedestrian Detection in Surveillance Video Based on Soft Target Training of Shallow Random Forest", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8610075"]}, {"id": "3cb0c82dec438987269f08a4b09235c53bffe293", "title": "Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos", "year": "2017", "pdf": ["https://pure.strath.ac.uk/ws/portalfiles/portal/70894449/Yan_etal_CC_2017_Cognitive_fusion_of_thermal_and_visible_imagery_for_effective_detection.pdf", "https://strathprints.strath.ac.uk/62462/8/Yan_etal_CC_2017_Cognitive_fusion_of_thermal_and_visible_imagery_for_effective_detection.pdf"], "doi": ["https://doi.org/10.1007/s12559-017-9529-6"]}, {"id": "04bb0a1ccca86a4c1084fc7472ea07189c110aa7", "title": "Tracking Interacting Objects Using Intertwined Flows", "year": "2016", "pdf": ["https://infoscience.epfl.ch/record/210040/files/top_submit_infosc.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368937", "http://doi.org/10.1109/TPAMI.2015.2513406", "https://www.ncbi.nlm.nih.gov/pubmed/26731639", "https://www.wikidata.org/entity/Q48635205"]}, {"id": "71bc8a1c19137ab9bc0b5926afb77ee76aac9057", "title": "Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07203.pdf"], "doi": []}, {"id": "a44b91f46ba66c8279b93caab6842444de0c9343", "title": "Frequency-domain Tracking Spatial-domain Detection Generic Object Proposal Histogram based Representation Detection Result Tracking State Estimation Spatial Regressor Correlation Model IFFT Search Space Feature Extraction Correlation Map Correlation Model FFT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a44b/91f46ba66c8279b93caab6842444de0c9343.pdf"], "doi": []}, {"id": "d0c75482c5d2d0c1c860fe6f46bf72767bd02848", "title": "People detection and articulated pose estimation framework for crowded scenes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.knosys.2017.06.001"]}, {"id": "b8a829b30381106b806066d40dd372045d49178d", "title": "A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation", "year": "2015", "pdf": ["http://gavrila.net/tits15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7010032", "http://doi.org/10.1109/TITS.2014.2379441"]}, {"id": "8bd8969d1de5a9e47c5a99c23a9faa8413cab72f", "title": "High Level Event Detection based on Spatial Occupancy and Interpersonal Relationships DOI: 10.14209/jcis.2015.8", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.14209/jcis.v30i1.97", "https://jcis.sbrt.org.br/jcis/article/download/97/269"]}, {"id": "449a170266998d364b960df58506981920c732bc", "title": "Abnormal behavior detection in LWIR surveillance of railway platforms", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078540", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078540", "http://doi.org/10.1109/AVSS.2017.8078540"]}, {"id": "10c077bf2dd1bed928926feb37837862ab786808", "title": "Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/10c0/77bf2dd1bed928926feb37837862ab786808.pdf"], "doi": []}, {"id": "32d072ce790b62750fbe343d9dd8620939d84975", "title": "Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "97ee35db6b389a7bcc4b7975d12dbcd165226aad", "title": "Structured Learning of Human Interactions in TV Shows", "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/ActiveVision/Papers/patron_etal_tpami2012/patron_etal_tpami2012.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/PatronPerez12/patronperez12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133287", "http://doi.org/10.1109/TPAMI.2012.24", "https://www.ncbi.nlm.nih.gov/pubmed/23079467", "https://www.wikidata.org/entity/Q48761119"]}, {"id": "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "title": "Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360186", "http://doi.org/10.1109/TPAMI.2015.2509979", "https://www.ncbi.nlm.nih.gov/pubmed/26700969", "https://www.wikidata.org/entity/Q48636655"]}, {"id": "a8ed00afc46064b18a6bcc7aa282e554891eacf2", "title": "Underwater image restoration: super-resolution and deblurring via sparse representation and denoising by means of marine snow removal", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8ed/00afc46064b18a6bcc7aa282e554891eacf2.pdf"], "doi": []}, {"id": "adcdebf739d1f911a3ab26ca6f496b7789bcf5ac", "title": "Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection", "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BLKBD14/unsupervised.pdf", "http://www.micc.unifi.it/wp-content/uploads/2016/01/2014_unsupervised_scene_adaptation.pdf", "http://www.sveborkaraman.com/wp-content/papercite-data/slides/bartoliicpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977320", "http://doi.org/10.1109/ICPR.2014.608"]}, {"id": "25252e21edb700772ae7bee300c070024c4e87ae", "title": "Online Tracking of People through a Camera Network", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128723", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2011.103", "http://doi.org/10.1109/DICTA.2011.103"]}, {"id": "a48a8e337a155d01a9652f3ea36675710e600222", "title": "Spatio-temporal crowd density model in a human detection and tracking framework", "year": "2015", "pdf": ["http://www.eurecom.fr/en/publication/4486/download/mm-publi-4486.pdf"], "doi": ["http://doi.org/10.1016/j.image.2014.11.006"]}, {"id": "df3b560a5d6c8cc5fa1477d3a89245a0d3b60715", "title": "Human tracking with multiple parallel metrics", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df3b/560a5d6c8cc5fa1477d3a89245a0d3b60715.pdf"], "doi": []}, {"id": "64e0bd1210f180e0610b2a1faa188051a1de29bf", "title": "Combining Detectors for Robust Head Detection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/bd1210f180e0610b2a1faa188051a1de29bf.pdf"], "doi": []}, {"id": "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "title": "Active colloids segmentation and tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.04.022"]}, {"id": "01a152e7ca6accce4fa52e29b27feb76418583fb", "title": "Tracking Multiple High-Density Homogeneous Targets", "year": "2015", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_CSVT_TrackingMultiHDHTargets_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868274", "http://doi.org/10.1109/TCSVT.2014.2344509"]}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "02af5e40653b5a545b62aa6aebfaca6557f4173d", "title": "Sensor fusion for human safety in industrial workcells", "year": "2012", "pdf": ["http://www.cs.cmu.edu/~reids/papers/imaoIROS12.pdf", "http://www.ri.cmu.edu/pub_files/2012/10/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6386034", "http://doi.org/10.1109/IROS.2012.6386034", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1822&context=robotics"]}, {"id": "8c3d86ea14205e1bf046d1a770cee4edcb9f6b8f", "title": "Interactive acquisition of spatial information from images for multimedia applications", "year": "2013", "pdf": [], "doi": []}, {"id": "1d14182d23547723a32fc3e51e5c59a0402d31e2", "title": "Robust Tracking of Objects through Turbulence", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2683512"]}, {"id": "fc5561d95b63f05a2f88e66291dbd269e4141a00", "title": "A Pedestrian Multiple Hypothesis Tracker Fusing Head and Body Detections", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691474", "http://doi.org/10.1109/DICTA.2013.6691474"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Claudio_Jung/publication/260042947_Combining_patch_matching_and_detection_for_robust_pedestrian_tracking_in_monocular_calibrated_cameras/links/0deec53345668eb9ff000000.pdf", "https://pdfs.semanticscholar.org/ccde/43d13203bf29ccf351e8c9a79ee4b0b36142.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.08.031"]}, {"id": "6a9c460952a96a04e12caa7bae07ae2f7df1238e", "title": "Exploiting scene context for on-line object tracking in unconstrained environments. (Exploitation du contexte de sc\u00e8ne pour le suivi d'objet en ligne dans des environnements non contraints)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cb35/378a27204d59cab3b10deac3c2931c35fb33.pdf"], "doi": []}, {"id": "ffabb5dc6f3a3831d1d88028594c06d22d39ebfc", "title": "Towards a High Speed Video Cloud Based on Batch Processing Integrated with Fast Processing", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7063992", "http://doi.org/10.1109/IIKI.2014.13"]}, {"id": "c31f7fa9d050c8a7181fc3407313f1fddd06de8c", "title": "Multiple-Human Tracking by Iterative Data Association and Detection Update", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6750747", "http://doi.org/10.1109/TITS.2014.2303196"]}, {"id": "8e64f7f38db57ddc197cc7a9c51b914920ee99cc", "title": "AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e64/f7f38db57ddc197cc7a9c51b914920ee99cc.pdf"], "doi": []}, {"id": "fa83597bf71dbeb606bca6593bcef8ecd51e8661", "title": "MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fa83/597bf71dbeb606bca6593bcef8ecd51e8661.pdf"], "doi": []}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7362180", "http://doi.org/10.1109/TCSVT.2015.2511480"]}, {"id": "6e604946a0a51911db0e887378ba1ae103dcfb9e", "title": "Detection and Classification of a Moving Object in a Video Stream", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6e60/4946a0a51911db0e887378ba1ae103dcfb9e.pdf"], "doi": []}, {"id": "e7617e3beaa1a1a8a3e24ec517735c5cf5c8a8a8", "title": "Vision-based counting of pedestrians and cyclists", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477685", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477685", "http://doi.org/10.1109/WACV.2016.7477685"]}, {"id": "1180b1da7221c8c614ac7f6960772b78342f233e", "title": "Online tracking parameter adaptation based on evaluation", "year": "2013", "pdf": ["https://arxiv.org/pdf/1307.5653.pdf"], "doi": []}, {"id": "c1c119361952120507d010b96d53ee8bee13c4b7", "title": "Description of a Tracking Metric Inspired by KL-divergence", "year": "2018", "pdf": [], "doi": []}, {"id": "2814d558b4d7425b5dae6b3dbbf5f4a08650fcb1", "title": "A joint estimation of head and body orientation cues in surveillance video", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads//papers/2011/Chen_ICCV-SISM_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Chen_ICCV-SISM_2011.pdf", "http://www.idiap.ch/~odobez/publications/ChenHeiliOdobez-ICCV-SISM-2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130342", "http://doi.org/10.1109/ICCVW.2011.6130342"]}, {"id": "b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57", "title": "Modeling Social and Temporal Context for Video Analysis", "year": "2015", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf"], "doi": ["https://www.base-search.net/Record/3b04a8f520744937ae3394bccbac1d98399bc9af219cd06cb618e7be7340943d"]}, {"id": "6c06f959397e990e5d68dbcc85cec8b96b4c5c2d", "title": "Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6c06/f959397e990e5d68dbcc85cec8b96b4c5c2d.pdf"], "doi": []}, {"id": "19c5dded4a2d1b7e62e29c71a4a7bd0911e2f5ae", "title": "SMC Faster R-CNN: Toward a scene-specialized multi-object detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.10217.pdf"], "doi": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "609cadcb4d7fe32d616f8e778b7fac9dd578bd81", "title": "Moving object tracking using Laplacian-DCT based perceptual hash", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566561"]}, {"id": "043831b3164152b4d67ce55db90eb3623d715cbf", "title": "Fuzzy logic approach to visual multi-object tracking", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.11.060"]}, {"id": "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "title": "Repr\u00e9senter pour suivre : Exploitation de repr\u00e9sentations parcimonieuses pour le suivi multi-objets. (Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "6ee5205408fc6db03460c05765ae0f21a6eb9552", "title": "A literature review on recent multi-object tracking methods based on HMM and particle filter", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ee5/205408fc6db03460c05765ae0f21a6eb9552.pdf"], "doi": []}, {"id": "d7eae9f76dcfa978b99eef430feb9420eac702eb", "title": "A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10757.pdf"], "doi": []}, {"id": "2329b177c71c7087013ab4bfdc3154a6ba87ff8c", "title": "Real-time and robust object tracking in video via low-rank coherency analysis in feature space", "year": "2015", "pdf": ["http://www3.cs.stonybrook.edu/~qin/research/2015-pr-robust-object-tracking.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.01.025"]}, {"id": "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "title": "Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a8d5/f1416760dbd8d2993358938f85c7ab04e85a.pdf"], "doi": []}, {"id": "e1a7446bc6f8267d4378977f8f39674f6932b628", "title": "Change Detection in Crowded Underwater Scenes - Via an Extended Gaussian Switch Model Combined with a Flux Tensor Pre-segmentation", "year": "2017", "pdf": ["http://www.scitepress.org/papers/2017/62585/62585.pdf", "https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2017/2017_change_detection_in_crowded_underwater_scenes_via_an_extended_gaussian_switch_model_combined_with_a_flux_tensor_pre-segmentation.pdf"], "doi": ["https://doi.org/10.5220/0006258504050415"]}, {"id": "1120e88663a38ed05120af378f57ecf557660160", "title": "Generic Object Crowd Tracking by Multi-Task Learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/722e/ae6cdf3ec2a55f06ea0f8c0aa4d7d57dc6a0.pdf"], "doi": []}, {"id": "5172baf893b1afe2650e015606b8537e16db88e5", "title": "Multiple object tracking with context awareness", "year": "2014", "pdf": [], "doi": ["http://d-nb.info/1065272502"]}, {"id": "347573e0b27a01748f8a6781dd84bb312aea5c53", "title": "Multi-Target Adaptive On-line Tracking based on WIHM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3475/73e0b27a01748f8a6781dd84bb312aea5c53.pdf"], "doi": []}, {"id": "78045e2b93745b16a174137074e430ccd5ff53ff", "title": "Hedging Deep Features for Visual Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7804/5e2b93745b16a174137074e430ccd5ff53ff.pdf"], "doi": []}, {"id": "074fea1fbfedeb80936c7cc1df7efee8f0b680b9", "title": "Real-time robust target tracking in videos via graph-cuts", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2002947"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "eb67693ae74a3e5fba42b96b41953f85c7414a8e", "title": "Scale Adaptive Tracking Using Mean Shift and Efficient Feature Matching", "year": "2014", "pdf": ["http://eprints.qut.edu.au/81753/1/SONG-Scale_Adaptive_Tracking_using_Mean_Shift_and_Efficient_Feature_Matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977100", "http://doi.org/10.1109/ICPR.2014.388"]}, {"id": "30f7609d111bb3bc006e3dd38678291528aa14d3", "title": "A new approach for extracting and summarizing abnormal activities in surveillance videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890537", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2014.6890537", "http://doi.org/10.1109/ICMEW.2014.6890537"]}, {"id": "b06b0086e84038abbe5088f3429603778f2b8fdf", "title": "Distributed Data Association in Smart Camera Networks via Dual Decomposition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1501.04754.pdf"], "doi": []}, {"id": "7a776f080b270c8759b2b4fe601682276d1b2eb4", "title": "Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7a77/6f080b270c8759b2b4fe601682276d1b2eb4.pdf"], "doi": []}, {"id": "c9c8ceadefa12adfb867cffcd2e5a37e4db81868", "title": "Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328048", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.4", "http://doi.org/10.1109/AVSS.2012.4"]}, {"id": "99e386cf71727ee66d5ac77693e107c78508f899", "title": "The Way They Move: Tracking Multiple Targets with Similar Appearance", "year": "2013", "pdf": ["http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/Dicle_ICCV13.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/dicle_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Dicle_The_Way_They_2013_ICCV_paper.pdf", "http://www.northeastern.edu/alert/assets/Dicle-Caglayan_ALERT_ASPIRE_SMOT_POSTER_Key.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.286", "http://doi.org/10.1109/ICCV.2013.286"]}, {"id": "37115eaa2789baf9edca92b48305e434a5ac5c02", "title": "Intelligent analysis oriented surveillance video coding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019429", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019429", "http://doi.org/10.1109/ICME.2017.8019429"]}, {"id": "0726152a1c1a5723ac34d54abec0dc8d4659598e", "title": "Realtime Image Matching for Vision Based Car Navigation with Built-in Sensory Data", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0726/152a1c1a5723ac34d54abec0dc8d4659598e.pdf"], "doi": []}, {"id": "29113ed00421953e0ddc4fa6784eaba60f05e801", "title": "Automatic Track Creation and Deletion Framework for Face Tracking", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2911/3ed00421953e0ddc4fa6784eaba60f05e801.pdf"], "doi": []}, {"id": "12a6d0617af44b46b70cd5c4ce055400b134aa8f", "title": "Conditions for target tracking with range-only information", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.robot.2015.10.003"]}, {"id": "43f36f7a5ee9dfeb45a02bc3b41a61cfa8726070", "title": "Depressed mood in pregnancy: Prevalence and correlates in two Cape Town peri-urban settlements", "year": "2011", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1742-4755-8-9&originUrl=http://reproductive-health-journal.biomedcentral.com/article/10.1186/1742-4755-8-9", "http://www.glowm.com/pdf/Article-postnataldepression-CC%20BY.pdf", "http://www.philani.org.za/wp-content/uploads/2014/08/2011_Philani_Depressed-Mood-Preg_Reprod-Health.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt07k6z20x/qt07k6z20x.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21535876", "https://doi.org/10.1186/1742-4755-8-9"]}, {"id": "f1d2e28436a93712e3cbe6bc8892c74ba3476657", "title": "Take Me to the Centre of Your Town ! Using Micro-geographical Data to Identify Town Centres", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f1d2/e28436a93712e3cbe6bc8892c74ba3476657.pdf"], "doi": []}, {"id": "e71dc2beeccd60ac73394441dd031bc20567b2da", "title": "Measuring the Impact of Out-of-town Retail Development on Town Centre Retail Property in England and Wales", "year": "2014", "pdf": ["http://www.geofutures.com/wp-content/uploads/2015/03/geofuturesVersion20140811.pdf"], "doi": ["https://doi.org/10.1007/s12061-014-9111-5"]}, {"id": "567944605731b32438f0138716a9f9c334688391", "title": "Urban poverty in Cape Town", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5679/44605731b32438f0138716a9f9c334688391.pdf"], "doi": []}, {"id": "43fd06a5a0c002e44f26ce9572ef76f16835f4d0", "title": "Survey Methodology in Violence-prone Khayelitsha , Cape Town , South Africa", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/43fd/06a5a0c002e44f26ce9572ef76f16835f4d0.pdf"], "doi": []}, {"id": "ac5c413a34649adf5cb88b4621f7151ad41e07d5", "title": "Persistence of Traditional Retailing in an Island Town 1", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ac5c/413a34649adf5cb88b4621f7151ad41e07d5.pdf"], "doi": []}, {"id": "e8679a533b5fd881bc7509ebe53df2741ec4ee50", "title": "Telecare Call Centre Work and Ageing in Place", "year": "2015", "pdf": ["http://researchopen.lsbu.ac.uk/983/1/Telecare%20call%20centre%20work%20and%20ageing%20in%20place%20(CSCW%202016).pdf", "http://wrap.warwick.ac.uk/75900/1/WRAP_Procter_10.1007_s10606-015-9242-5.pdf"], "doi": ["https://doi.org/10.1007/s10606-015-9242-5"]}, {"id": "22096ca83d32a3ec6ed5adfb09d934c5caf513b7", "title": "Cartographic, Geophysical and Diver Surveys of the Medieval Town Site at Dunwich, Suffolk, England", "year": "2011", "pdf": ["http://www.qps.nl/download/attachments/14778902/Cartographic,+Geophysical+&+Diver+Surveys+of+the+Medieval+town+site+at+Dunwich,+England.pdf?modificationDate=1420017662240&version=1"], "doi": ["https://doi.org/10.1111/j.1095-9270.2010.00275.x"]}, {"id": "800e22c644c6929a3fa964e93c0013c6c86a02c0", "title": "Children and fighting forces: 10 years on from Cape Town.", "year": "2009", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/19500326", "https://doi.org/10.1111/j.1467-7717.2008.01086.x"]}, {"id": "b76a0495e476a160688bbbbeffaa1e4d8bdb0bd3", "title": "Predictors of early first sexual intercourse among adolescents in Cape Town, South Africa.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/b76a/0495e476a160688bbbbeffaa1e4d8bdb0bd3.pdf"], "doi": []}, {"id": "8152f21315b1f6fc7da0583dc348ca0826e08b6e", "title": "The drug trade and governance in Cape Town", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8152/f21315b1f6fc7da0583dc348ca0826e08b6e.pdf"], "doi": []}, {"id": "2c52fcc453c523e1f66a02778ea283a96f8148cb", "title": "Borders, market access and urban growth; the case of Saxon towns and the Zollverein", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c52/fcc453c523e1f66a02778ea283a96f8148cb.pdf"], "doi": []}, {"id": "7c785d9bf57d640a026af56033e9a9b0401f3638", "title": "The next available agent: Work organisation in Indian call centres", "year": "2010", "pdf": ["https://research-repository.griffith.edu.au/bitstream/handle/10072/35659/65818__1.pdf;sequence=1"], "doi": ["https://doi.org/10.1111/j.1468-005X.2009.00235.x"]}, {"id": "94e01b4c8530ad778f19efe865543c1b414ac052", "title": "Prevalence of ticks on local and crossbred cattle in and around Asella town, southeast Ethiopia", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/94e0/1b4c8530ad778f19efe865543c1b414ac052.pdf"], "doi": []}, {"id": "7ef57166b69df6a495b4a6225e91ed8c1cb1d9e0", "title": "Bacteriological Quality of Vegetable Salads Sold at Restaurants Within Okada Town, Edo State, Nigeria", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7ef5/7166b69df6a495b4a6225e91ed8c1cb1d9e0.pdf"], "doi": []}, {"id": "8b9691b572fb275020f05850ec4efc1664709fa0", "title": "NATO Cooperative Cyber Defence Centre of Excellence", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7529417"]}, {"id": "1cee84a7c3f42d02349b8c2382c58ae8d9272528", "title": "Insight , part of a Special Feature on Urban ecological and social-ecological research in the City of Cape Town Urban Ecology in Cape Town: South African Comparisons and Reflections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cee/84a7c3f42d02349b8c2382c58ae8d9272528.pdf"], "doi": []}, {"id": "8aa366db9ca5240d81203b548f1fc720405ff694", "title": "Can Cape Town \u2019 s unique biodiversity be saved ? Balancing conservation imperatives and development needs", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8aa3/66db9ca5240d81203b548f1fc720405ff694.pdf"], "doi": []}, {"id": "f4b33bd4a4d02e1fca1f951e1a5e2db0a45e26ce", "title": "Emerging roles and competencies of district and sub-district pharmacists: a case study from Cape Town", "year": "2015", "pdf": ["http://human-resources-health.biomedcentral.com/track/pdf/10.1186/s12960-015-0081-8?site=human-resources-health.biomedcentral.com", "http://repository.uwc.ac.za/xmlui/bitstream/handle/10566/2053/Bradley_Emerging%20roles_2015.pdf;jsessionid=273ADA3C86244533399B3FC07A8298B8?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26601807", "https://doi.org/10.1186/s12960-015-0081-8"]}, {"id": "5e97c38e8fabb6fafd47a9e29d9c7ec1363014ea", "title": "Dialogicality and imaginings of two \u2018 community \u2019 notice boards in post-apartheid Observatory , Cape Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e97/c38e8fabb6fafd47a9e29d9c7ec1363014ea.pdf"], "doi": []}, {"id": "cdfb0cfaa65d8ef794e2ec6fa7a8d7d570c5ab9a", "title": "EFFECTS OF STRATEGY DEVELOPMENT ON SUSTAINABILTY OF SME \u2019 S IN THIKA TOWN Lorrine", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cdfb/0cfaa65d8ef794e2ec6fa7a8d7d570c5ab9a.pdf"], "doi": []}, {"id": "da54a298173cd4165ed9da411956e4b88cdf4a54", "title": "Language, residential space and inequality in Cape Town: Broad-brush profiles and trends", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73a2/e2704600918c1de5f42dcb2844b2f5e3fe20.pdf"], "doi": []}, {"id": "7121b92c0d3f6582d7e924a5ce497e2bbd91c5b2", "title": "A practise-based theory of SEIDET smart community centre model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439411"]}, {"id": "3bf7fe12d86548368f01ac857b10e2e3db1ec619", "title": "Environmental Direct Action in Manchester , Oxford and North Wales : A Protest Event Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3bf7/fe12d86548368f01ac857b10e2e3db1ec619.pdf"], "doi": []}, {"id": "0f7519db0012331764f5d412d1821809f62cbc64", "title": "Social Control , Urban Planning and Ethno-Class Relations : Mizrahi Jews in Israel \u2019 s \u2018 Development Towns", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0f75/19db0012331764f5d412d1821809f62cbc64.pdf"], "doi": []}, {"id": "f7664ca82753a8a6a048e12c96ed2b987c93a180", "title": "Increasing prevalence of specific language impairment (SLI) in primary healthcare of a Finnish town, 1989-99.", "year": "2009", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/18608605", "https://doi.org/10.1080/13682820801903310"]}, {"id": "c90e39d01937bfaf6e26da8e91ff82d927b5a918", "title": "Prevalence of cerebral palsy in children < 10 years of age in R.S. Pura town of Jammu and Kashmir.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c90e/39d01937bfaf6e26da8e91ff82d927b5a918.pdf"], "doi": []}, {"id": "561bbdf96f4b332e1208ea5cb7e3235093871b1a", "title": "Sources of heavy metals in vegetables in Cape Town, and possible methods of remediation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/561b/bdf96f4b332e1208ea5cb7e3235093871b1a.pdf"], "doi": []}, {"id": "e481c51a1aae22fbb209641627990e2b6bcf49a5", "title": "STATUS OF WATER QUALITY IN THE PROXIMITY OF DEOGHAR TOWN IN THE JHARKHAND STATE OF INDIA", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e481/c51a1aae22fbb209641627990e2b6bcf49a5.pdf"], "doi": []}, {"id": "9c77bb6e9b654196fa8dcca36f750976d27f4587", "title": "Bypassing the Squalor : New Towns , Immaterial Labour and Exclusion in Post-colonial Urbanisation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9c77/bb6e9b654196fa8dcca36f750976d27f4587.pdf"], "doi": []}, {"id": "608364534e629cd0b279797276a92b1dae80997f", "title": "NATIONAL hErITAGE AND DEVELOPMENT OF TrADITIONAL hANDICrAFT CENTrES", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6083/64534e629cd0b279797276a92b1dae80997f.pdf"], "doi": []}, {"id": "4ae01b8922d4a5212a6256861ea1701db477f6e4", "title": "Gross and Molecular Characterization of Mycobacterium tuberculosis Complex in Mekelle Town Municipal Abattoir, Northern Ethiopia", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4ae0/1b8922d4a5212a6256861ea1701db477f6e4.pdf"], "doi": []}, {"id": "f28d0eb0cd73cf34eb2d14457134e4569e810329", "title": "Urban Health Extension Services Utilization in Bishoftu Town, Oromia Regional State, Central Ethiopia", "year": "2017", "pdf": ["https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-017-2129-z"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28288620", "https://doi.org/10.1186/s12913-017-2129-z"]}, {"id": "e3f84cd923437b5e924c0364cd340479afb6ad72", "title": "Possibilities and barriers for recirculation of nutrients and organic matter from urban to rural areas : A technical theoretical framework applied to the medium-sized town Hiller\u00f8d , Denmark", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e3f8/4cd923437b5e924c0364cd340479afb6ad72.pdf"], "doi": []}, {"id": "f2a2f675edcec8d40434dc25c7391019a2c74453", "title": "Oxford vaccine study highlights pick and mix approach to preclinical research.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f2a2/f675edcec8d40434dc25c7391019a2c74453.pdf"], "doi": []}, {"id": "93296d199e92831cd89c295ada5b3452ca477831", "title": "Using Micro-Geography Data to Identify Town-Centre Space in Great Britain", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4cf5/1573a0c8df7b2f8b9cdb3054a972e07e4ecd.pdf"], "doi": []}, {"id": "f5befea335a8e48fbbbbc40816dd2388e39d383c", "title": "\u201cForeigners in Town\u201d: Leisure, Consumption, and Cosmopolitanism in Late-Nineteenth and Early-Twentieth Century Tillsonburg, Ontario", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f6/b8bd036f4162fcede2a59e14d8a79a37a97f.pdf"], "doi": []}, {"id": "e5aea2e1331c04bc9ff764366b3c4d9e6c2c67c6", "title": "The Influence of Personality Traits and Resilience on Burnout among Customer Service Representatives in a Call Centre", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e5ae/a2e1331c04bc9ff764366b3c4d9e6c2c67c6.pdf"], "doi": []}, {"id": "7af59bbca0b992c40ecd41d3075e21cfdc71e18a", "title": "Representation of Target Culture in the ELT Textbooks in Pakistan: Evaluation of \"OXFORD PROGRESSIVE ENGLISH\" for Cultural Relevance", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7af5/9bbca0b992c40ecd41d3075e21cfdc71e18a.pdf"], "doi": []}, {"id": "1b43ce73991751ab03e187ebff9037ec88b145d9", "title": "Measuring the degree of integrated tuberculosis and HIV service delivery in Cape Town, South Africa.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23274439", "https://doi.org/10.1093/heapol%2Fczs131"]}, {"id": "910ad38b580a15d7260c04be100a6c2feab32299", "title": "HIV type 1 in a rural coastal town in Kenya shows multiple introductions with many subtypes and much recombination.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21770741", "https://doi.org/10.1089/aid.2011.0048"]}, {"id": "6fe9cf61c2d90d48ffcef303e64ef8dbe66f506f", "title": "THE ADAPTATIVE NATURE OF NEOLIBERALISM AT THE LOCAL SCALE : FIFTEEN YEARS OF CITY IMPROVEMENT DISTRICTS IN CAPE TOWN AND JOHANNESBURG", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/304a/a4b3ee5bd180d597f49db3722533ecaec608.pdf"], "doi": []}, {"id": "b98b17b2169ca1bde45c4e166d81d8fb66a5c2ef", "title": "School As A Caring Community A Challenge For Qualitative Expansion In Education Beyond Classroom: A Comparative Survey Of Select Principals, Teachers And Class Ix -Students Of Tura Town In Meghalaya With Nalbari Town In Assam, India", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b98b/17b2169ca1bde45c4e166d81d8fb66a5c2ef.pdf"], "doi": []}, {"id": "8684b08b862c2ddf9d23451aeb0db8e1e55d515d", "title": "Introduction to occupation-centred practice with children", "year": "2010", "pdf": ["http://media.wiley.com/product_data/excerpt/72/14051842/1405184272.pdf"], "doi": ["https://doi.org/10.1002/9781444319699.ch1"]}, {"id": "9d160b0b947836bfe68f017b561057522b267ca9", "title": "1 Attending to Early Modern women : Remapping Routes and Spaces Workshop : Gender in the European Town : women \u2019 s impact on their urban communities", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9d16/0b0b947836bfe68f017b561057522b267ca9.pdf"], "doi": []}, {"id": "0920c4be44621f137a3a8a2eb4157be82f322b36", "title": "Does a biomedical research centre affect patient care in local hospitals?", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-016-0163-7"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28109282", "https://doi.org/10.1186/s12961-016-0163-7"]}, {"id": "963cfbe36d40c2288edb34eeff3c42520f235ffe", "title": "A THEORETICAL OVERVIEW OF THE GROWTH CENTRE STRATEGY: PERSPECTIVES FOR REENGINEERING THE CONCEPT IN ZIMBABWE", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/963c/fbe36d40c2288edb34eeff3c42520f235ffe.pdf"], "doi": []}, {"id": "11126384fbe3c9884210b49f352bd079c921b34b", "title": "The Reverse Side of the Medal: About the 2010 FIFA World Cup and the Beautification of the N2 in Cape Town", "year": "2009", "pdf": ["http://abahlali.org/files/N2%20Gateway%20&%202010.pdf"], "doi": ["https://doi.org/10.1007/s12132-009-9048-y"]}, {"id": "ef2b61c85f44e371c164aff53d41899475739581", "title": "Unacknowledged Urbanisation: The New Census Towns of India", "year": "2013", "pdf": ["http://www.springer.com/cda/content/document/cda_downloaddocument/9788132236146-c2.pdf?SGWID=0-0-45-1602431-p180148898", "https://f.hypotheses.org/wp-content/blogs.dir/489/files/2012/08/Unacknowledged-Urbanisation_CPR-Working-Paper_KCPradhan.pdf", "https://mpra.ub.uni-muenchen.de/41035/2/Unacknowledged_Urbanisation.pdf"], "doi": ["https://doi.org/10.1007/978-81-322-3616-0_2"]}, {"id": "6390634cf96a2cab7459bbaf402ec5da13a3a16b", "title": "Family size and expectations about housing in the later nineteenth century: three Yorkshire towns.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4c35/405af8121382256af838879f0de526f44d7f.pdf"], "doi": []}, {"id": "7018b13b01f7e3fd3493f48f62ebd51407c054ef", "title": "Variation in quality of preventive care for well adults in Indigenous community health centres in Australia", "year": "2011", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1472-6963-11-139&originUrl=http://bmchealthservres.biomedcentral.com/article/10.1186/1472-6963-11-139", "http://espace.cdu.edu.au/eserv/cdu:24364/Bailie_24364.pdf", "https://espace.curtin.edu.au/bitstream/handle/20.500.11937/15656/172123_47723_Variation%20in%20quality%2065295.pdf?isAllowed=y&sequence=2"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21627846", "https://doi.org/10.1186/1472-6963-11-139"]}, {"id": "70b6534b908f0ffb8337d9aa4a85b4547b20d0ef", "title": "Assessment of Knowledge, Attitude and Practices about Rabies and Associated Factors: In the Case of Bahir Dar Town", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70b6/534b908f0ffb8337d9aa4a85b4547b20d0ef.pdf"], "doi": []}, {"id": "374bbb285c7ca216647e0451dbe5f129f226c2bc", "title": "Rapid access to renal transplant waiting list in children: impact of patient and centre characteristics in France.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/374b/bb285c7ca216647e0451dbe5f129f226c2bc.pdf"], "doi": []}, {"id": "5b926722c326b9d457428b2640b39d9ef72753e3", "title": "Women\u2019s experience of intrapartum transfer from a Western Australian birth centre co-located to a tertiary maternity hospital", "year": "2016", "pdf": ["https://bmcpregnancychildbirth.biomedcentral.com/track/pdf/10.1186/s12884-016-0817-z"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26857353", "https://doi.org/10.1186/s12884-016-0817-z"]}, {"id": "0cd2c695f6241ecfd57209e0a9685e1dd2e2fe0b", "title": "Promoting Urban Agriculture for Development: Suggestions for Designing the 'Ideal' Social Enterprise Box Scheme in Cape Town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0cd2/c695f6241ecfd57209e0a9685e1dd2e2fe0b.pdf"], "doi": []}, {"id": "14eef7d9ef776b7d24b0f9b67889dc653189239d", "title": "Factors Affecting the Performance of Small and Medium Enterprises in the Jua Kali Sector In Nakuru Town , Kenya", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/14ee/f7d9ef776b7d24b0f9b67889dc653189239d.pdf"], "doi": []}, {"id": "8782bf0d77c02732cc5808b04bc6b47a7180036f", "title": "Rapid Assessment Response (RAR) study: drug use, health and systemic risks\u2014Emthonjeni Correctional Centre, Pretoria, South Africa", "year": "2014", "pdf": ["https://harmreductionjournal.biomedcentral.com/track/pdf/10.1186/1477-7517-11-11"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24708609", "https://doi.org/10.1186/1477-7517-11-11"]}, {"id": "0d52b37ef5be9f50646a02331dfc6496a6caf487", "title": "Regimes of Dispossession: From Steel Towns to Special Economic Zones", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0d52/b37ef5be9f50646a02331dfc6496a6caf487.pdf"], "doi": []}, {"id": "0d87f98c12885a17edc36dfb9bd5c219ad82fddd", "title": "An \u2018 Atypical \u2019 Case ? The First Emergence of Brussels as an International Financial Centre , 1830-1860", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0d87/f98c12885a17edc36dfb9bd5c219ad82fddd.pdf"], "doi": []}, {"id": "1cfe2a9348100f1b9285ab9074438c84267cf775", "title": "SPACE, SETTLEMENTS, TOWNS: THE INFLUENCE OF GEOGRAPHY AND MARKET ACCESS ON SETTLEMENT DISTRIBUTION AND URBANIZATION", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1cfe/2a9348100f1b9285ab9074438c84267cf775.pdf"], "doi": []}, {"id": "a55398e4de111f1c25dc4435f1dbba3b6bd7bce6", "title": "Small town identity and history ' s contribution to a response in policy change : a case study of transition from coal to biomass energy conversion", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a553/98e4de111f1c25dc4435f1dbba3b6bd7bce6.pdf"], "doi": []}, {"id": "778679a2c829a52cdbd64c9b4f47c1c5cdf0ed05", "title": "Invasion ecology goes to town: from disdain to sympathy", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s10530-017-1588-9", "https://serval.unil.ch/resource/serval:BIB_397033CFA03B.P002/REF"]}, {"id": "c267a32709d255cb5b276cdf0e453ff3183f1a7a", "title": "ETHNOMUSICOLOGISTS RESEARCHING TOWNS THEY LIVE IN : THEORETICAL AND METHODOLOGICAL QUERIES FOR A RENEWED DISCIPLINE", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c267/a32709d255cb5b276cdf0e453ff3183f1a7a.pdf"], "doi": []}, {"id": "bcf4c1a85ca2f31b042b543bc9a2e8a488076023", "title": "STUDENT-TEACHERS\u2019 PEDAGOGICAL BELIEFS: LEARNER-CENTRED OR TEACHER- CENTRED WHEN USING ICT IN THE SCIENCE CLASSROOM?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bcf4/c1a85ca2f31b042b543bc9a2e8a488076023.pdf"], "doi": []}, {"id": "df22776c66d2b7908e6ec9d950d7c974d0a45ff1", "title": "Navigating rules and wills : healthcare and social protection in a Bosnian border town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/df22/776c66d2b7908e6ec9d950d7c974d0a45ff1.pdf"], "doi": []}, {"id": "7d65d2cdd859996db8d83caca3c4f0f1c84c9a9e", "title": "Community Transitions to Low Carbon Futures in the Transition Towns Network ( TTN )", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7d65/d2cdd859996db8d83caca3c4f0f1c84c9a9e.pdf"], "doi": []}, {"id": "75ae135d586711d9d28756ccdae69496ea814de8", "title": "Infant mortality in three East Midland towns : similarities and differences , 1890-1910", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/75ae/135d586711d9d28756ccdae69496ea814de8.pdf"], "doi": []}, {"id": "30f527ce12a49282c68341f960390dc20e8f128d", "title": "A case for smarter city growth : a strategic analysis of Cape Town\u2019s Phase 1A BRT system and its supporting land use environment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/30f5/27ce12a49282c68341f960390dc20e8f128d.pdf"], "doi": []}, {"id": "2fdeba79f576506ccce61c667c05c16f4a90839d", "title": "New Trend of Urbanization in China: Land and housing development in suburban areas and small towns", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2fde/ba79f576506ccce61c667c05c16f4a90839d.pdf"], "doi": []}, {"id": "0017a9c97b4f116161a1ee161d05f05b8286c01c", "title": "Hydro biological Characteristics of Some Semi-intensive fish culture ponds of Lumding town of Nagaon district, Assam", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0017/a9c97b4f116161a1ee161d05f05b8286c01c.pdf"], "doi": []}, {"id": "bc6ec2d296f9b7506724af114e9ef3a98a416305", "title": "New equations to calculate 3D joint centres in the lower extremities.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26320760", "https://doi.org/10.1016/j.medengphy.2015.07.001"]}, {"id": "a62bdceb47d0ea4d43892ea598207b88f54c50e7", "title": "Loughborough University Institutional Repository ` The only game in town ? ' : football match-fixing in Greece", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1f4d/adbe07f42b7fcd0f706ed97ece015947086f.pdf"], "doi": []}, {"id": "230dd320ee766df937849bd59e60c4071396d36d", "title": "Provenance of Chalk Tesserae from a Roman Town House in Vine Street , Leicester", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/230d/d320ee766df937849bd59e60c4071396d36d.pdf"], "doi": []}, {"id": "5307947b0c8bf69ff1a1d60430157cb35b93bb97", "title": "A new focus of schistosomiasis mansoni in Hayk town, northeastern Ethiopia", "year": "2014", "pdf": ["http://bmcresnotes.biomedcentral.com/track/pdf/10.1186/s13104-014-0965-z?site=bmcresnotes.biomedcentral.com", "http://www.be-md.ncbi.nlm.nih.gov/pmc/articles/PMC4318522/pdf/13104_2014_Article_965.pdf"], "doi": ["https://doi.org/10.1186/s13104-014-0965-z", "https://www.ncbi.nlm.nih.gov/pubmed/25643852"]}, {"id": "fc2010167f79ef21262bb2261bd9b9caec19cc7a", "title": "Demographic and circumstantial accounts of burn mortality in Cape Town, South Africa, 2001-2004: An observational register based study", "year": "2009", "pdf": ["http://bmcpublichealth.biomedcentral.com/track/pdf/10.1186/1471-2458-9-374?site=bmcpublichealth.biomedcentral.com", "http://uir.unisa.ac.za/bitstream/handle/10500/8858/Crime%20Violence%20and%20Injury%20Research%20Unit%201.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/19804652", "https://doi.org/10.1186/1471-2458-9-374"]}, {"id": "3890fdfc4c0ea60ca462f02045df84730b093709", "title": "The liminal role of the information intermediary in community multimedia centres", "year": "2010", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2369224"]}, {"id": "9a605a5e8cde0a00f7ef6b908b922800e17e4341", "title": "The Radcliffe Infirmary, Oxford", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29823226", "https://doi.org/10.1016/S0140-6736%2801%2958854-6"]}, {"id": "07a5748a9e5da415f44b435ab9fe1555da3f5b23", "title": "The Management of Staphylococcus aureus Bacteremia in the United Kingdom and Vietnam: A Multi-Centre Evaluation", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f592/ce0f48f54433bb3bd25ae6515b9299424dea.pdf"], "doi": []}, {"id": "5632dcabfc1d72aadc6e68bf423bf2141706724a", "title": "Plasmids carrying blaCTX-M-1 and qnr genes in Escherichia coli isolates from an equine clinic and a horseback riding centre.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5632/dcabfc1d72aadc6e68bf423bf2141706724a.pdf"], "doi": []}, {"id": "9d4a6dd41759369d040870ef4beb79e8fa48d838", "title": "Online social networks, location, and the dual effect of distance from the centre", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d4a/6dd41759369d040870ef4beb79e8fa48d838.pdf"], "doi": []}, {"id": "09ba5efa9a96406a87d07f7086c2b22a44eedd18", "title": "Internet of Things for Smart Cities", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6740844"]}, {"id": "7a6f676e1e33b5db1ac239fbbd371f5a0323debb", "title": "HIV/STI risk by migrant status among workers in an urban high-end entertainment centre in Eastern China.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/7a6f/676e1e33b5db1ac239fbbd371f5a0323debb.pdf"], "doi": []}, {"id": "2dfe5a9784043c30247bd0e4f7cf9e85db617bc8", "title": "Between duty statement and reality \u2013 The \u201cLinguist/Coordinator\u201d at an Australian Indigenous language centre", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2dfe/5a9784043c30247bd0e4f7cf9e85db617bc8.pdf"], "doi": []}, {"id": "8dad79f9a44ea9e839141c32fdb555aea0f19299", "title": "Exploring the invasion of the guttural toad Sclerophrys gutturalis in Cape Town through a multidisciplinary approach", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8dad/79f9a44ea9e839141c32fdb555aea0f19299.pdf"], "doi": []}, {"id": "4eeb4047957c70ec13ccfff3c467478c0369caa2", "title": "Domestic service in a small market town: Crickhowell, 1851-1901.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4eeb/4047957c70ec13ccfff3c467478c0369caa2.pdf"], "doi": []}, {"id": "d2870ef975b191bd2ca54cd645311ef18e9cd07e", "title": "Factors associated with poor adherence to anti-retroviral therapy in patients attending a rural health centre in South Africa", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1007/s10096-010-0949-4", "https://www.ncbi.nlm.nih.gov/pubmed/20467769"]}, {"id": "963cb02b410e958a707b083c8f0098f3f50b74b0", "title": "Trends in bushmeat trade in a postconflict forest town : implications for food security", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/963c/b02b410e958a707b083c8f0098f3f50b74b0.pdf"], "doi": []}, {"id": "08fb1d53a264f108f587f0f23add2a89bd760c69", "title": "A large outbreak of Legionnaires\u2019 Disease in an industrial town in Portugal", "year": "2016", "pdf": ["http://repositorio.insa.pt/bitstream/10400.18/4217/1/A%20large%20outbreak%20of%20Legionnaires%20Disease.pdf", "http://www.elsevier.pt/en/revistas/revista-portuguesa-saude-publica-323/pdf/S0870902516300323/S300/", "http://www.scielo.mec.pt/pdf/rpsp/v34n3/v34n3a02.pdf", "https://comum.rcaap.pt/bitstream/10400.26/16567/1/1-s2.0-S0870902516300323-main.pdf"], "doi": ["https://doi.org/10.1016/j.rpsp.2016.10.001"]}, {"id": "defb163564e54d4fcb33ebffe30aa20b0f6453d7", "title": "SAI\u0308D BUSINESS SCHOOL, PARK END STREET OXFORD OX1 1HP", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/defb/163564e54d4fcb33ebffe30aa20b0f6453d7.pdf"], "doi": []}, {"id": "ae65862597cc97d3a5ac1279daa1e0056ec0a10b", "title": "Contested modernism : post Slums Act public housing in Cape Town", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ae65/862597cc97d3a5ac1279daa1e0056ec0a10b.pdf"], "doi": []}, {"id": "65cc18b57144b20fd1dcede4a0b1bdb999b16311", "title": "The emerging invasive alien plants of the Drakensberg Alpine Centre, southern Africa", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/65cc/18b57144b20fd1dcede4a0b1bdb999b16311.pdf"], "doi": []}, {"id": "aec8d0747ee19b9b296fcea85f6e8b01eace8b1c", "title": "Physic at Oxford", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aec8/d0747ee19b9b296fcea85f6e8b01eace8b1c.pdf"], "doi": []}, {"id": "e1c399fd381e94495fc4f7e884b70ba81ca33fd0", "title": "Narrating Muslim women\u2019s identities in Cape Town", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e1c3/99fd381e94495fc4f7e884b70ba81ca33fd0.pdf"], "doi": []}, {"id": "1f0f52df2d35d8bf1298e991564514b4bcc7a7c5", "title": "Meta-evaluations in government and government institutions: A case study example from the Australian Centre for International Agricultural Research", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1f0f/52df2d35d8bf1298e991564514b4bcc7a7c5.pdf"], "doi": []}, {"id": "99bef58692c0984bbe0346846dac7a212ef02e1f", "title": "Rethinking the Bloody Code in Eighteenth-Century Britain: Capital Punishment at the Centre and on the Periphery.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/99be/f58692c0984bbe0346846dac7a212ef02e1f.pdf"], "doi": []}, {"id": "e912c19f9d189ac02d15062ea2777b13efa1ffbc", "title": "Remaking the medico-legal scene: a social history of the late-Victorian coroner in Oxford.", "year": "2010", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20008864", "https://doi.org/10.1093/jhmas%2Fjrp053"]}, {"id": "d73cc71f1d97f3ed2e2f16f9e76f1a1777efaa74", "title": "The British Medical Association at Oxford", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1038/070332b0", "https://www.ncbi.nlm.nih.gov/pubmed/29817569"]}, {"id": "9b86b894bf58064e5db7233e35a5352dee75d9dd", "title": "Drug use and health behaviour among German men who have sex with men: Results of a qualitative, multi-centre study", "year": "2016", "pdf": ["https://harmreductionjournal.biomedcentral.com/track/pdf/10.1186/s12954-016-0125-y"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27938393", "https://doi.org/10.1186/s12954-016-0125-y"]}, {"id": "81b2b8fd43c0ac1d62dfeed2ba528298bc2d9e4e", "title": "Single Image Haze Removal Using Dark Channel Prior", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81b2/b8fd43c0ac1d62dfeed2ba528298bc2d9e4e.pdf"], "doi": []}, {"id": "046586c4231eb6426a99a6bbe23b7ff3031e7dc8", "title": "College and student activities at various colleges in Oxford University: Some lessons to Universiti Kebangsaan Malaysia.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0465/86c4231eb6426a99a6bbe23b7ff3031e7dc8.pdf"], "doi": []}, {"id": "db24d4fecbe76ec0cdef1d41dd48c138d7eede61", "title": "Alleviative Bleeding: Bloodletting, Menstruation and the Politics of Ignorance in a Brazilian Blood Donation Centre", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/db24/d4fecbe76ec0cdef1d41dd48c138d7eede61.pdf"], "doi": []}, {"id": "5a6a586da2b410afad9622afed62cd8373f34410", "title": "Bernard Gersh: from South Africa to the Mayo Clinic via Oxford, England.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26074621", "https://doi.org/10.1093/eurheartj%2Fehv128"]}, {"id": "871dcd6be39944f6c24fb55a135632c6f05ce926", "title": "Creating the CIPRES Science Gateway for inference of large phylogenetic trees", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5676129"]}, {"id": "3b7d0ed68d367d2f8b3107504a5d2220ed597042", "title": "Local Politics and Local-Centre Linkages in Ghana", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3b7d/0ed68d367d2f8b3107504a5d2220ed597042.pdf"], "doi": []}, {"id": "9183109a3465c6ad8542b1f230c0dea77c778f5e", "title": "OXFORD RESEARCH IN SOCIAL ANTHROPOLOGY ABSTRACTS OF THESES IN SOCIAL ANTHROPOLOGY FOR WHICH HIGHER DEGREES WERE AWARDED BY THE UNIVERSITY OF OXFORD IN 1991", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d6c0/cee0aaf47e1951d59d0bdeebb7a392cc3a97.pdf"], "doi": []}, {"id": "9a0d8ba03dac59a9d31653a0d8d76f5735ca7f4e", "title": "MANAGING THE IMPACT OF URBANIZATION ON BIODIVERSITY IN EMERGING URBAN FRINGE SETTLEMENTS : THE CASE OF SATELLITE TOWN , CALABAR , NIGERIA", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9a0d/8ba03dac59a9d31653a0d8d76f5735ca7f4e.pdf"], "doi": []}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "876ccc4f3ff640c76743d1be4d772faeed84a9fa", "title": "Making Urban Land Markets Work Better in South African Cities and Towns: Arguing the Basis for Access by the Poor", "year": "2009", "pdf": ["http://researchspace.csir.co.za/dspace/bitstream/handle/10204/1053/Napier_2007.pdf;jsessionid=83FAB40C3F609E199DF4A107CB9A70A7?sequence=1"], "doi": ["https://doi.org/10.1007/978-1-4020-8862-9_4"]}, {"id": "44a7d08da6239436ebe14bedfee2884e0917e7e3", "title": "Developing children\u2019s palliative care in Africa through beacon centres: lessons learnt", "year": "2013", "pdf": ["http://ihi.eprints.org/1173/1/Downing.pdf", "https://bmcpalliatcare.biomedcentral.com/track/pdf/10.1186/1472-684X-12-8"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23419095", "https://doi.org/10.1186/1472-684X-12-8"]}, {"id": "6931a43fa8d7c9d470614799f8cdf8dca77a289d", "title": "Cost of maternal health services in selected primary care centres in Ghana: a step down allocation approach", "year": "2013", "pdf": ["http://ugspace.ug.edu.gh/bitstream/handle/123456789/5701/1472-6963-13-287.pdf?sequence=2", "https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/1472-6963-13-287"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23890185", "https://doi.org/10.1186/1472-6963-13-287"]}, {"id": "1f8cf3d5bc0fd966540a77da1142daef3ab9f488", "title": "The Development of Towns", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1f8c/f3d5bc0fd966540a77da1142daef3ab9f488.pdf"], "doi": []}, {"id": "d935b1ef94761081aa2bcafd0bcb2ed87f72f626", "title": "A systematic literature review of empirical evidence on computer games and serious games", "year": "2012", "pdf": ["http://www.jenjenson.com/courses/learninggame/wp-content/uploads/2010/08/systematicreviewofevidence.pdf"], "doi": ["https://doi.org/10.1016/j.compedu.2012.03.004"]}, {"id": "4d71c0e6cebfe5858e69618328c2ad46babdb24d", "title": "Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea", "year": "2014", "pdf": ["http://genomebiology.biomedcentral.com/track/pdf/10.1186/gb-2014-15-6-r77?site=genomebiology.biomedcentral.com", "http://wrap.warwick.ac.uk/62050/1/WRAP_Barker_gb-2014-15-6-r77.pdf", "https://athenaeum.libs.uga.edu/bitstream/handle/10724/30246/gb-2014-15-6-r77.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.1186/gb-2014-15-6-r77", "https://www.ncbi.nlm.nih.gov/pubmed/24916971"]}, {"id": "c6729d97eca294655250b4e5b6f3bc9e8f88a35b", "title": "Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980\u20132015: a systematic analysis for the Global Burden of Disease Study 2015", "year": "2016", "pdf": ["http://bora.uib.no/bitstream/handle/1956/15721/1-s2.0-S0140673616310121-main.pdf?isAllowed=y&sequence=3", "https://dspace.flinders.edu.au/xmlui/bitstream/handle/2328/36867/Wang_Global_P2016.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616310121", "http://ecite.utas.edu.au/X/7E4B1A9D03DBCE7EE053021911AC393B", "https://doi.org/10.1016/S0140-6736%2816%2931012-1", "https://pub.uni-bielefeld.de/download/2907739/2910061", "https://researchbank.acu.edu.au/cgi/viewcontent.cgi?article=8005&context=fhs_pub", "https://touroscholar.touro.edu/cgi/viewcontent.cgi?article=1261&context=nymc_fac_pubs", "https://www.ncbi.nlm.nih.gov/pubmed/27733281"]}, {"id": "91caadd2f9d5bc8fc70d43864a3c82daa3ba1a36", "title": "Urban Agriculture, Social Enterprise and Box Schemes in Cape Town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/91ca/add2f9d5bc8fc70d43864a3c82daa3ba1a36.pdf"], "doi": []}, {"id": "3e55b6b3d5d87c93d8f295378ad7a10c68c6d6c5", "title": "Le Corbusier\u2019s town-planning ideas and the ideas of history", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3e55/b6b3d5d87c93d8f295378ad7a10c68c6d6c5.pdf"], "doi": []}, {"id": "0c7638a7cea8d9d31ad2b321ace04e3c3e71db5e", "title": "Inclusive development ? State-led land development model in New Town", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7e3b/f5613f9ab768a70ea2060b9c01e9629d61ac.pdf"], "doi": []}, {"id": "0565b38859f76df988248e6054f0ed72156371ab", "title": "Smart cities in Europe", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0565/b38859f76df988248e6054f0ed72156371ab.pdf"], "doi": []}, {"id": "66f76b15ea078d93bec396277c8caf0e11185a66", "title": "A multi-centre pathologist survey on pathological processing and regression grading of colorectal cancer resection specimens treated by neoadjuvant chemoradiation", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s00428-012-1193-3", "https://www.ncbi.nlm.nih.gov/pubmed/22241181"]}, {"id": "271df05e1eb4202a43fc54c93e823d851b65f848", "title": "Using spatial equity analysis in the process evaluation of environmental interventions to tackle obesity: the healthy towns programme in England", "year": "2013", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1475-9276-12-43&originUrl=http://equityhealthj.biomedcentral.com/article/10.1186/1475-9276-12-43", "http://researchonline.lshtm.ac.uk/1012244/1/Using%20spatial%20equity_GOLD%20VoR.pdf", "https://www.repository.cam.ac.uk/bitstream/handle/1810/244691/1475-9276-12-43.pdf?isAllowed=y&sequence=4"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23773457", "https://doi.org/10.1186/1475-9276-12-43", "https://www.repository.cam.ac.uk/bitstream/handle/1810/244691/1475-9276-12-43-S1.PDF?isAllowed=y&sequence=3"]}, {"id": "499d4055d22afb2b7a26505acfd7b4352e535172", "title": "3 Middle Dorset Communal Structures in the Oxford Bay Region", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/499d/4055d22afb2b7a26505acfd7b4352e535172.pdf"], "doi": []}, {"id": "209f9da2dbbc4fbe4e55014c8d638bdb2e3a98bc", "title": "Evaluation of a Cape Town Safety Intervention as a Model for Good Practice : A Partnership between Researchers , Community and Implementing Agency", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/10cd/435868e921f55e33738cb3773e4b090bc299.pdf"], "doi": []}, {"id": "49a67c73eb77b5e3c6f782194a89772be10e2a17", "title": "Large-scale grid computing for content-based image retrieval", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/49a6/7c73eb77b5e3c6f782194a89772be10e2a17.pdf"], "doi": []}, {"id": "09f9a93e33bb07469725678517dee8cf629378f0", "title": "Diagnosis and follow up of patients with primary cardiac tumours: a single-centre experience of myxomas", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/09f9/a93e33bb07469725678517dee8cf629378f0.pdf"], "doi": []}, {"id": "04233e0a02c83ffb357aab695922b49a504e23ad", "title": "Peoples' Use of, and Concerns about, Green Space Networks: A Case Study of Birchwood, Warrington New Town, UK.", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.ufug.2009.12.001"]}, {"id": "cfdca666e479386c8a0c95cbf2d7cc3bd8079345", "title": "Early Medieval ' Rural Centres ' and West Norfolk : A Growing Picture of Diversity , Complexity and Changing Lifestyles", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/cfdc/a666e479386c8a0c95cbf2d7cc3bd8079345.pdf"], "doi": []}, {"id": "8968ffdd45c7143fee035029c3182a94bd6251ff", "title": "Power to participants: a call for person\u2010centred HIV prevention services and research", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30334609", "https://doi.org/10.1002/jia2.25167"]}, {"id": "a1e5d7ab67f55562ea3c3810063823e8cdfac110", "title": "Predictors of in-hospital mortality and length of stay in community-acquired pneumonia: a 5-year multi-centre case control study of adults in a developing country.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27618923", "https://doi.org/10.1093/trstmh%2Ftrw057"]}, {"id": "d9af14ca969dd35236eff04777382c38ff7c7fdf", "title": "Continuity and change: the town, people and administration of Nottingham between c.1400 and c.1600", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d9af/14ca969dd35236eff04777382c38ff7c7fdf.pdf"], "doi": []}, {"id": "5976d9f7e99433aa2938709172c6bdfd9a81adc9", "title": "OXFORD RESEARCH IN SOCIAL AND CULTURAL ANTHROPOLOGY ABSTRACTS OF THESES IN SOCIAL AND CULTURAL ANTHROPOLOGY FOR WHICH HIGHER DEGREES WERE AWARDED BY THE UNIVERSITY OF OXFORD IN 1994", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5976/d9f7e99433aa2938709172c6bdfd9a81adc9.pdf"], "doi": []}, {"id": "c5c81e2608e70731868dc6bde4667729d9c3caf7", "title": "Integrated rapid transport: is the city of Cape Town utilising its full potential?", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c5c8/1e2608e70731868dc6bde4667729d9c3caf7.pdf"], "doi": []}, {"id": "54384020d1f76529fc2c2b5bbbc0166133dd3cca", "title": "\u201c Polycentrism and emerging sub-centres in the restructuring of metropolitan systems . The case of Barcelona Metropolitan Region ( RMB ) \u201d", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5438/4020d1f76529fc2c2b5bbbc0166133dd3cca.pdf"], "doi": []}, {"id": "b6b8f41344d74a62c3202a1fe6081fcd4761907c", "title": "Energy efficiency in cape town municipal buildings Southern African energy efficiency convention (SAEEC2011)", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6119258"]}, {"id": "e12ab9717a867c706ce8141de9cc430524c50774", "title": "DIMENSIONS OF WOMEN EMPOWERMENT WITH SPECIAL REFERENCE TO RANCHI TOWN IN JHARKHAND", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e12a/b9717a867c706ce8141de9cc430524c50774.pdf"], "doi": []}, {"id": "2768928e6104033e06ab14ae98b3f9980cb3d830", "title": "Collective Voice under Decentralized Bargaining: A Comparative Study of Work Reorganization in US and German Call Centres", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2768/928e6104033e06ab14ae98b3f9980cb3d830.pdf"], "doi": []}, {"id": "9c0412b8ba64b01788027eb93a9713a8c7a3d70d", "title": "Beyond the Union-Centred Approach : A Critical Evaluation of Recent Trade Union Elections in China", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9c04/12b8ba64b01788027eb93a9713a8c7a3d70d.pdf"], "doi": []}, {"id": "956201bf7ffa3027e31b3c4fcfb4c2744ea07a07", "title": "Challenges for nurses who work in community mental health centres in the West Bank, Palestine", "year": "2017", "pdf": ["http://orca-mwe.cf.ac.uk/97146/1/Marie%20et%20al%202017.pdf", "https://ijmhs.biomedcentral.com/track/pdf/10.1186/s13033-016-0112-4?site=ijmhs.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28066504", "https://doi.org/10.1186/s13033-016-0112-4"]}, {"id": "1963e3c3d443e417baa46ac8c10935cb20eddb59", "title": "A Critical Study of the Word meanings in Dictionaries: a case of Oxford Advanced Learners Dictionary, seventh edition.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1963/e3c3d443e417baa46ac8c10935cb20eddb59.pdf"], "doi": []}, {"id": "969ede50a33fc7fd16132f5deb1135fbcbfe191c", "title": "Community resource centres to improve the health of women and children in informal settlements in Mumbai: a cluster-randomised, controlled trial", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/1542860/1/Bracey_Osrin_1-s2.0-S2214109X16303631-main.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28193399", "https://doi.org/10.1016/S2214-109X%2816%2930363-1"]}, {"id": "666e8dabc7585d03b04b8cfa3e0142a496ab6ea1", "title": "Placing country at the centre: Decolonising justice for indigenous young people with Foetal Alcohol Spectrum Disorders (FASD)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/666e/8dabc7585d03b04b8cfa3e0142a496ab6ea1.pdf"], "doi": []}, {"id": "64d269f889b9d1e9a8c82edee2da2016cb664fd6", "title": "GROWING INCOMES, GROWING PEOPLE IN NINETEENTH-CENTURY TASMANIA KRIS INWOOD UNIVERSITY OF GUELPH HAMISH MAXWELL-STEWART UNIVERSITY OF TASMANIA DEB OXLEY UNIVERSITY OF OXFORD", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/64d2/69f889b9d1e9a8c82edee2da2016cb664fd6.pdf"], "doi": []}, {"id": "ce13fbb1268b3506baeeb8743bc5f81ae251040a", "title": "Centre for Economic and Financial Research at New Economic School Convergence between Russian Regions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ce13/fbb1268b3506baeeb8743bc5f81ae251040a.pdf"], "doi": []}, {"id": "a74065b13913cb07064315a077f17d298d451bce", "title": "Cost of installing and operating an electronic clinical decision support system for maternal health care: case of Tanzania rural primary health centres", "year": "2015", "pdf": ["http://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-015-0780-9?site=bmchealthservres.biomedcentral.com", "http://old.biomedcentral.com/content/pdf/s12913-015-0780-9.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25888762", "https://doi.org/10.1186/s12913-015-0780-9"]}, {"id": "a2509bc931717eb0ab836a49dbf747b1e477dc07", "title": "Status of Astronomy in Namibia", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01440.pdf"], "doi": []}, {"id": "4b6585452be2b1d078fa194dc97257341de2495d", "title": "Looking and Acting: Vision and Eye Movements in Natural Behaviour, Michael F. Land, Benjamin W. Tatler. Oxford University Press, Oxford, United Kingdom (2009), 320 pp, $59.95, ISBN: 978-0-19-857094-3", "year": "2010", "pdf": ["http://audiosx.com/document-readbook/looking-and-acting-vision-and-eye-movements-in-natural-behaviour.pdf", "http://pinche.store/looking/and/looking_and_acting_vision_and_eye_movements_in_natural_behaviour.pdf"], "doi": ["https://doi.org/10.1016/j.ajo.2010.08.024"]}, {"id": "bc2a8aafaa5548beb378921eab3d909b5a2a1c71", "title": "African genomics project takes shape at Cape Town meeting", "year": "2011", "pdf": [], "doi": ["https://doi.org/10.1038/nm0411-401", "https://www.ncbi.nlm.nih.gov/pubmed/21475220"]}, {"id": "095dcd0c40ff391d382a2b20ef402db197eac99d", "title": "In the time of oil : piety, memory, and social life in an Omani town", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/095d/cd0c40ff391d382a2b20ef402db197eac99d.pdf"], "doi": []}, {"id": "cf4f039a2ebd45eb1a2906cb0b690d5f8cfbc338", "title": "Nationalist Politics and Everyday Ethnicity in a Transylvanian Town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cf4f/039a2ebd45eb1a2906cb0b690d5f8cfbc338.pdf"], "doi": []}, {"id": "a9aac0563aecfff86290fe2daac518497862a42a", "title": "A Soiling Index based on Quantitative Photography at Balliol College in Central Oxford, UK", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a9aa/c0563aecfff86290fe2daac518497862a42a.pdf"], "doi": []}, {"id": "6237f7a38c84aba9404cb09b1996e37d458ebd95", "title": "Changes in ambient dose equivalent rates around roads at Kawamata town after the Fukushima accident.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25953794", "https://doi.org/10.1093/rpd%2Fncv275"]}, {"id": "fbb522ded7d801d6f54b327e188fad5726d7a27f", "title": "Creating a New Town koine : Children and language change in Milton Keynes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/07ef/61715b607bc5f2d9c7e9ed3b6c9e72e13515.pdf"], "doi": []}, {"id": "17cd10460053cace74be2721a2b0a9d6a467018a", "title": "Willingness to donate eyes and its associated factors among adults in Gondar town, North West Ethiopia", "year": "2017", "pdf": ["https://new-bmcophthalmol.biomedcentral.com/track/pdf/10.1186/s12886-017-0577-1?site=new-bmcophthalmol.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28969612", "https://doi.org/10.1186/s12886-017-0577-1"]}, {"id": "a5b3109916a45195a14db06e2408ba188328ecdf", "title": "The paradoxical place of small towns in sustainable development policies", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a5b3/109916a45195a14db06e2408ba188328ecdf.pdf"], "doi": []}, {"id": "bdecc455c18434503f2cb2e743f7fbd580f6c6f5", "title": "Effects of 4ps Marketing Mix on Sales Performance of Automotive Fuels of Selected Service Stations in Nakuru Town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bdec/c455c18434503f2cb2e743f7fbd580f6c6f5.pdf"], "doi": []}, {"id": "6754b77d88a387a76a503c3ac52bead2e2f6ba43", "title": "Prevalence of Bovine Schistosomiasis and its Associated Risk Factor in and Around Debre Tabor Town, North West of Ethiopia", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6754/b77d88a387a76a503c3ac52bead2e2f6ba43.pdf"], "doi": []}, {"id": "489cea47bfbd058e67d92786d6c4bc9f69199d98", "title": "The Africa Center for Biostatistical Excellence: a proposal for enhancing biostatistics capacity for sub-Saharan Africa.", "year": "2015", "pdf": ["https://cronfa.swan.ac.uk/Record/cronfa26548/Download/0026548-15052017131159.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26137996", "https://doi.org/10.1002/sim.6572"]}, {"id": "f3ed06b59c3c3665da1952afb82405aab9d1505e", "title": "A protective function for interleukin 17A in T cell\u2013mediated intestinal inflammation", "year": "2009", "pdf": [], "doi": ["https://doi.org/10.1038/ni.1736", "https://www.ncbi.nlm.nih.gov/pubmed/19448631"]}, {"id": "3711c43d5508ef33a37525652cdf1ab89df65eeb", "title": "VILLAGERS AND THE EXEM PLARY CENTER IN JAVA*", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3711/c43d5508ef33a37525652cdf1ab89df65eeb.pdf"], "doi": []}, {"id": "19e76e17e8cd6a545854211e719824fb0c04ac16", "title": "Making a humanities town : knowledge-infused clusters , civic entrepreneurship and civil society in local innovation systems", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/19e7/6e17e8cd6a545854211e719824fb0c04ac16.pdf"], "doi": []}, {"id": "5bc58161d9167d3dde75105a0190e3a71b4dadf0", "title": "Awareness and knowledge of glaucoma and associated factors among adults: a cross sectional study in Gondar Town, Northwest Ethiopia", "year": "2017", "pdf": ["https://bmcophthalmol.biomedcentral.com/track/pdf/10.1186/s12886-017-0542-z?site=bmcophthalmol.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28836945", "https://doi.org/10.1186/s12886-017-0542-z"]}, {"id": "d5075bb61d47be50359a94cacbc065f1761a09de", "title": "Exclusive breastfeeding practice and associated factors among mothers in Motta town, East Gojjam zone, Amhara Regional State, Ethiopia, 2015: a cross-sectional study", "year": "2016", "pdf": ["http://internationalbreastfeedingjournal.biomedcentral.com/track/pdf/10.1186/s13006-017-0103-3?site=internationalbreastfeedingjournal.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28261318", "https://doi.org/10.1186/s13006-017-0103-3"]}, {"id": "63ca27101c8b61b7790fa43656c6cb031ad198d3", "title": "Voxel-based morphometry multi-center mega-analysis of brain structure in social anxiety disorder", "year": "2017", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/135670.pdf", "http://umu.diva-portal.org/smash/get/diva2:1133862/FULLTEXT01.pdf", "http://uu.diva-portal.org/smash/get/diva2:1177992/FULLTEXT01.pdf", "http://www.henkvansteenbergen.com/wp-content/uploads/2017/10/Bas-Hoogendam-van-Steenbergen-et-al.-2017-Voxel-Based-Morphometry-Multi-Center-Mega-Analysis-of-Brain-Structure-in-Social-Anxiety-Disorder.pdf", "https://repository.ubn.ru.nl/bitstream/handle/2066/176758/176758.pdf?sequence=1", "https://www.rug.nl/research/portal/files/52134374/1_s2.0_S2213158217301912_main.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S2213158217301912", "https://doi.org/10.1016/j.nicl.2017.08.001", "https://www.ncbi.nlm.nih.gov/pubmed/30140607"]}, {"id": "63588e12728b502bd2e47d4380a9185d9ac4a3c6", "title": "Tick pests and vectors (Acari: Ixodoidea) in European towns: Introduction, persistence and management.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24183576", "https://doi.org/10.1016/j.ttbdis.2013.07.011"]}, {"id": "93c2d4a92de50025b36219acfed19d08069c5849", "title": "Who governs federally qualified health centers?", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23052684", "https://doi.org/10.1215/03616878-1898794"]}, {"id": "7263cb6b353021a8d168905978e134b4093b0662", "title": "Exploring family-centered care among pediatric oncology nurses.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/7263/cb6b353021a8d168905978e134b4093b0662.pdf"], "doi": []}, {"id": "81e81dd3c7ed35eb94844306433cb718b7302be9", "title": "Teachers \u2019 Emotional Intelligence and Sense of Self-efficacy Beliefs : A study on Second Cycle Public Primary School EFL Teachers in Bahir Dar Town , Ethiopia", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81e8/1dd3c7ed35eb94844306433cb718b7302be9.pdf"], "doi": []}, {"id": "1bd51e4ed44b28e509ad374c194e98143629c8a6", "title": "Premarital screening for hemoglobinopathies: experience of a single center in Kurdistan, Iraq.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25613574", "https://doi.org/10.1159/000368960"]}, {"id": "59bdce940617a364c58c462386e572162aca4864", "title": "Residential developments in small-town America : assessment and regulations", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/59bd/ce940617a364c58c462386e572162aca4864.pdf"], "doi": []}, {"id": "e968257f80266e30fc71e716ee51d4131ab0c2f8", "title": "It\u2019s a long, long walk: accessibility to hospitals, maternity and integrated health centers in Niger", "year": "2012", "pdf": ["https://ij-healthgeographics.biomedcentral.com/track/pdf/10.1186/1476-072X-11-24"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22737990", "https://doi.org/10.1186/1476-072X-11-24"]}, {"id": "7ae561498e9e6b2cf01500a91243cba0b9525394", "title": "Oncological efficiency analysis of laparoscopic liver resection for primary and metastatic cancer: a single-center UK experience.", "year": "2012", "pdf": ["https://archsurg.jamanetwork.com/journals/SURG/articlepdf/1107311/soa110019.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22250111", "https://doi.org/10.1001/archsurg.2011.856"]}, {"id": "bdbd930115ce77433084d7768c75128bb7bd78ba", "title": "How polycentric is a monocentric city ? : centers , spillovers and hysteresis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bdbd/930115ce77433084d7768c75128bb7bd78ba.pdf"], "doi": []}, {"id": "cad0980c55315a373d41359d4e532de3d73c09bf", "title": "Water Quality and Eutrophication: The Effects of Sewage Outfalls on Waters and Reefs Surrounding Stone Town, Zanzibar", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/cad0/980c55315a373d41359d4e532de3d73c09bf.pdf"], "doi": []}, {"id": "057931eaaa488eaabc71cae956b8aef5554cf06e", "title": "Moderators of outcome in a brief family-centered intervention for preventing early problem behavior.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0579/31eaaa488eaabc71cae956b8aef5554cf06e.pdf"], "doi": []}, {"id": "ee71648876a5729f25a19a068966c7ce552f223f", "title": "Water and Sanitation Utilities in the Global South: Re-centering the Debate on \u201cEfficiency\u201d", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ee71/648876a5729f25a19a068966c7ce552f223f.pdf"], "doi": []}, {"id": "bf3a217750df32f2cc0c71cdacd554906a3a76d1", "title": "Association of a de novo 16q copy number variant with a phenotype that overlaps with Lenz microphthalmia and Townes-Brocks syndromes", "year": "2009", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1471-2350-10-137&originUrl=http://bmcmedgenet.biomedcentral.com/article/10.1186/1471-2350-10-137", "http://images.biomedsearch.com/20003547/1471-2350-10-137.pdf?AWSAccessKeyId=AKIAIBOKHYOLP4MBMRGQ&Expires=1498089600&Signature=cgQ7SlLZIpF1gF1EBdK31MP2wmU%3D"], "doi": ["https://doi.org/10.1186/1471-2350-10-137", "https://www.ncbi.nlm.nih.gov/pubmed/20003547"]}, {"id": "7720bc111a6f279315c6fd406aae78b99b378445", "title": "A Comparative Analysis of Technology Innovation Centers of Excellence Across the World: Secrets to Success", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7720/bc111a6f279315c6fd406aae78b99b378445.pdf"], "doi": []}, {"id": "6739367ba7090a6617d09bcc9f5bdbd476f1def3", "title": "Local Management Response to Corporative Restructuring: A case study of a Company Town", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6739/367ba7090a6617d09bcc9f5bdbd476f1def3.pdf"], "doi": []}, {"id": "ad0189d70aabe6a57138a9ed32ec852fae7363a7", "title": "A COMPUTER MOVIE SIMULATING URBAN GROWTH IN THE DETROIT REGION", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ad01/89d70aabe6a57138a9ed32ec852fae7363a7.pdf"], "doi": []}, {"id": "359ec4b45d5d855e5dd166efed888a20e3c28312", "title": "Development of the Oxford Hills Healthy Moms Project using a social marketing process: a community-based physical activity and nutrition intervention for low-socioeconomic-status mothers in a rural area in Maine.", "year": "2011", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/20660151", "https://doi.org/10.1177/1524839909355521"]}, {"id": "b1e5ed62e47c11e85b6f8f16da68477a4c850332", "title": "Cryogenic tritium-hydrogen-deuterium and deuterium-tritium layer implosions with high density carbon ablators in near-vacuum hohlraums", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b1e5/ed62e47c11e85b6f8f16da68477a4c850332.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "4cee70068cc60882a81de238237b40039ce8871a", "title": "Performance Evaluation of Roundabouts for Traffic Delay and Crash Reductions in Oxford, MS", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4cee/70068cc60882a81de238237b40039ce8871a.pdf"], "doi": []}, {"id": "492916f6c81bd9a07bcec26a2c28cfc5cd927c34", "title": "Predictors of perceived empathy among patients visiting primary health-care centers in central Ethiopia.", "year": "2012", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22302068", "https://doi.org/10.1093/intqhc%2Fmzs001"]}, {"id": "a97e588a951a8fed93594c6d17a307b01324f09c", "title": "Characteristics of invasive Staphylococcus aureus infections in three regions of Korea, 2009-2011: a multi-center cohort study", "year": "2013", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1471-2334-13-581&originUrl=http://bmcinfectdis.biomedcentral.com/article/10.1186/1471-2334-13-581"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24321206", "https://doi.org/10.1186/1471-2334-13-581"]}, {"id": "582f49242c827743dd2766bd25964e63bd8f4778", "title": "Service Design and Change of Systems : Human-Centered Approaches to Implementing and Spreading Service Design", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/582f/49242c827743dd2766bd25964e63bd8f4778.pdf"], "doi": []}, {"id": "ca19cd92e6175927121b78a4350dcc0bb796c562", "title": "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990\u20132015: a systematic analysis for the Global Burden of Disease Study 2015", "year": "2016", "pdf": ["http://discovery.ucl.ac.uk/1524102/1/1-s2.0-S0140673616316786-main.pdf", "http://sro.sussex.ac.uk/65361/1/PIIS0140673616316786.pdf", "https://cronfa.swan.ac.uk/Record/cronfa33993/Download/0033993-27062017170552.pdf", "https://digital.library.adelaide.edu.au/dspace/bitstream/2440/104804/2/hdl_104804.pdf", "https://kclpure.kcl.ac.uk/portal/files/81553510/Global_regional_and_national_VOS_Publishedonline6October2016_GOLD_VoR_CC_BY_.pdf", "https://research-information.bristol.ac.uk/files/124627566/Looker2015Nonfatal.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616316786", "http://www.wacmhc.org/programs/data-analysis/item/download/11_7a3a8e2825fbfc0b39c7bffa4850c788", "https://doi.org/10.1016/S0140-6736%2816%2931678-6", "https://pub.uni-bielefeld.de/download/2907740/2910115", "https://researchbank.acu.edu.au/cgi/viewcontent.cgi?article=7668&context=fhs_pub&httpsredir=1&referer=", "https://touroscholar.touro.edu/cgi/viewcontent.cgi?article=1260&context=nymc_fac_pubs", "https://www.ncbi.nlm.nih.gov/pubmed/27733282"]}, {"id": "99dbc738e30e19d5c5485362387aa663387de0bd", "title": "How Would You Manage Opioid Use in These Three Patients?: Grand Rounds Discussion From Beth Israel Deaconess Medical Center.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28384742", "https://doi.org/10.7326/M17-0287"]}, {"id": "f1b51bba63eefd19e994119378782cb046284548", "title": "Natural Commercial Centers: Regeneration Opportunities and Urban Challenges", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f1b5/1bba63eefd19e994119378782cb046284548.pdf"], "doi": []}, {"id": "db8cc48064ef9580c2c30dc8442e5543fd8aa8d2", "title": "Towns ( and villages ) : definitions and implications in a historical setting", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db8c/c48064ef9580c2c30dc8442e5543fd8aa8d2.pdf"], "doi": []}, {"id": "3787b12ef27080710ead9019c7bbcf19a7d254dd", "title": "Insight, part of a Special Feature on Urban ecological and social-ecological research in the City of Cape Town An Ecological View of the History of the City of Cape Town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3787/b12ef27080710ead9019c7bbcf19a7d254dd.pdf"], "doi": []}, {"id": "df9ab40853c3ef432ce1f0b33f7df28a421b633a", "title": "Towards Autonomous Robotic Systems: 14th Annual Conference, TAROS 2013, Oxford, UK, August 28--30, 2013, Revised Selected Papers", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cac8/7201032e06942397c276a6fb15112dda8985.pdf"], "doi": []}, {"id": "9be428c9383d47b86570b1b9fc20faf006346c5d", "title": "Community detection in graphs", "year": "2010", "pdf": ["https://arxiv.org/pdf/0906.0612.pdf"], "doi": []}, {"id": "4955789a0547c0da34d587531b9c59f47da820e1", "title": "An international bioinformatics infrastructure to underpin the Arabidopsis community.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8c02/ec9b030310ccc5e95f005b39051029559d8c.pdf"], "doi": []}, {"id": "5ebf9ddecb631a4ffae2546b059a211351a24ef7", "title": "Health at the margins of migration: culture-centered co-constructions among Bangladeshi immigrants.", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/22548461", "https://doi.org/10.1080/10410236.2012.666956"]}, {"id": "757bb90aa1b2659469da9ef8048484062f7a2b40", "title": "Defining the Transcriptome Assembly and Its Use for Genome Dynamics and Transcriptome Profiling Studies in Pigeonpea (Cajanus cajan L.)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/757b/b90aa1b2659469da9ef8048484062f7a2b40.pdf"], "doi": []}, {"id": "c26271e36df66f92c174d07f3aee4f11b3a8c9f0", "title": "Security interests in mobile equipment: Lawmaking lessons from the Cape Town convention", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c262/71e36df66f92c174d07f3aee4f11b3a8c9f0.pdf"], "doi": []}, {"id": "20e226a7a86ab4468c8bc11eb7cba4d8abd37d1d", "title": "THE PERCEPTION OF THE URBANIZED AREAS IN CASE STUDY OF THE TOWN ROSICE", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/20e2/26a7a86ab4468c8bc11eb7cba4d8abd37d1d.pdf"], "doi": []}, {"id": "e4889b117bb2687987fc8aa01c95bd55b56f75d7", "title": "Knowledge-based service industry in a South African university town : The case of Stellenbosch", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e488/9b117bb2687987fc8aa01c95bd55b56f75d7.pdf"], "doi": []}, {"id": "9d1e1e3b8e3826a86ebfdcd00d893e76cad47be3", "title": "Cahiers d ' \u00e9tudes africaines The Prayer Economy in a Malian Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9d1e/1e3b8e3826a86ebfdcd00d893e76cad47be3.pdf"], "doi": []}, {"id": "aa0013211506a20c26fc39f8dc657c756d050770", "title": "On and Off the Record : The Production of Legitimacy in an Argentine Border Town", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/aa00/13211506a20c26fc39f8dc657c756d050770.pdf"], "doi": []}, {"id": "cf70b705e26357c03a6196f80ccd8d8d28160418", "title": "The Local Experiences of Reformist Islam in a \u2018 Muslim \u2019 Town in Colonial India : The Case of", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cf70/b705e26357c03a6196f80ccd8d8d28160418.pdf"], "doi": []}, {"id": "e04bbfd12b07c03895eeafb52b3d92ba99b0e84e", "title": "Geographic distribution and regional impacts of Oxyops vitiosa (Coleoptera: Curculionidae) and Boreioglycaspis melaleucae (Hemiptera: Psyllidae), biological control agents of the invasive tree Melaleuca quinquenervia.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/e04b/bfd12b07c03895eeafb52b3d92ba99b0e84e.pdf"], "doi": []}, {"id": "f81b1b837eb1913b6ac75cd209e5185dec58338f", "title": "Gastric Cancer Working Group report.", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f81b/1b837eb1913b6ac75cd209e5185dec58338f.pdf"], "doi": []}, {"id": "57289461c821c4041be76b0dbd6429de5c8f76df", "title": "Demonstration of ignition radiation temperatures in indirect-drive inertial confinement fusion hohlraums.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5728/9461c821c4041be76b0dbd6429de5c8f76df.pdf"], "doi": []}, {"id": "ed69b9ebd8fde392e0fc828d49a1ae2ae4e3dc9c", "title": "Promoting city center parking qualities; using urban design guidelines", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ed69/b9ebd8fde392e0fc828d49a1ae2ae4e3dc9c.pdf"], "doi": []}, {"id": "9a021b427ef9610c057d3ff33f4499d667c9f5a3", "title": "A methodological approach to preserving Delaware's small town suburban landscapes", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9a02/1b427ef9610c057d3ff33f4499d667c9f5a3.pdf"], "doi": []}, {"id": "53556d957a70fed7abab72c5ec1e56fbc9e98082", "title": "The Temple: A Multi-Faceted Center and Its Problems", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5355/6d957a70fed7abab72c5ec1e56fbc9e98082.pdf"], "doi": []}, {"id": "55ebdec709be49cb3a8ebdc754fd71721739f38a", "title": "Mobility along Socio-cultural Borders : Brisk-walking in Bedouin Towns", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/55eb/dec709be49cb3a8ebdc754fd71721739f38a.pdf"], "doi": []}, {"id": "46adc650342d12f43ea2af12d717e57bb6a5ae4c", "title": "The suburban townscape its origin and perspectives based on the example of a border town in Hungary ( Kom\u00e1rom-Kopp\u00e1nymonostor )", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/46ad/c650342d12f43ea2af12d717e57bb6a5ae4c.pdf"], "doi": []}, {"id": "f59011244e911bb9a9d708343d7a1f6d2955bafd", "title": "A long way from Cape Town: a personal and professional journey from South Africa to the USA.", "year": "2011", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21724625", "https://doi.org/10.1093/eurheartj%2Fehr168"]}, {"id": "51dd4f7e34f09cd0187680fef1ec18d5ab776e9b", "title": "Introduction: Highlights of HeartWeek 2013 at the Sixth World Congress of Paediatric Cardiology and Cardiac Surgery in Cape Town South Africa.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/51dd/4f7e34f09cd0187680fef1ec18d5ab776e9b.pdf"], "doi": []}, {"id": "439d62f1b020e94b1a75276f0eba3049a509e671", "title": "Kitchen , Dining and Diet in the 18 th Century Aristocratic Palace \u2013 a Proposal for the New Permanent Exhibition in the Museum of the Town of Trogir", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/439d/62f1b020e94b1a75276f0eba3049a509e671.pdf"], "doi": []}, {"id": "5aee918bce77d7efb8e450159306e2a7648f9b64", "title": "Food Habit Transitions in the Urban Areas of Low-Income Countries \u2013 A study on how globalization and urbanization influence food habits among primary pupils in Babati town , Tanzania", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5aee/918bce77d7efb8e450159306e2a7648f9b64.pdf"], "doi": []}, {"id": "7fb960c992aa99f26dd9430fda0fceb3f247f6fc", "title": "Ebola Virus Diagnostics: The US Centers for Disease Control and Prevention Laboratory in Sierra Leone, August 2014 to March 2015.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7fb9/60c992aa99f26dd9430fda0fceb3f247f6fc.pdf"], "doi": []}, {"id": "c63cecb09ac8c985b92315668cfa97c1d07bc983", "title": "Directions and peculiarities of territorial functional changes in a medium size Ukrainian town in the post-soviet period of development (case of Berdychiv)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c63c/ecb09ac8c985b92315668cfa97c1d07bc983.pdf"], "doi": []}, {"id": "299059f8f66b3b3656ec2812312e4b1160eb2ffe", "title": "A Geographic Information Systems (GIS)-Based Approach to Derivative Map Production and Visualizing Bedrock Topography within the Town of Rutland, Vermont, USA", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2990/59f8f66b3b3656ec2812312e4b1160eb2ffe.pdf"], "doi": []}, {"id": "6ee06dcff159567c1cde1e8869a74c3798bac30f", "title": "The impact of Information Systems usage on productivity: A retrospective analysis and an empirical study in Cape Town tourism of South Africa", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ee0/6dcff159567c1cde1e8869a74c3798bac30f.pdf"], "doi": []}, {"id": "166b0eca7904fec6285a8607d0ed199b3f083687", "title": "Rapid Urbanization , Squatter Settlements and Housing Policy Interface in Ethiopia , the Case of Nekemte Town", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/166b/0eca7904fec6285a8607d0ed199b3f083687.pdf"], "doi": []}, {"id": "44122749137db37f385f37a2ac48b9af974288ea", "title": "The contribution of town functions to the development of rural areas: empirical analyses for Ethiopia", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4412/2749137db37f385f37a2ac48b9af974288ea.pdf"], "doi": []}, {"id": "de8ce69d3b8c2936006f568e2fe688f4cbfd91b0", "title": "Inequality and Involvement : Participatory Trends in the Politics of a Rural Maine Town", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/de8c/e69d3b8c2936006f568e2fe688f4cbfd91b0.pdf"], "doi": []}, {"id": "a98facbe02d8f1a4487534fd0cae81545bacd1e2", "title": "Survey Based Study on Attitude of Final Year Degree Students towards Value Education in Chittoor Town .", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a98f/acbe02d8f1a4487534fd0cae81545bacd1e2.pdf"], "doi": []}, {"id": "d0a2505486ed8b5f17c659fdea01cb4c27638722", "title": "Industrial landscape preservation: An expanded approach to protect the working small town", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d0a2/505486ed8b5f17c659fdea01cb4c27638722.pdf"], "doi": []}, {"id": "41e95278ba909b1df049e3a4a21d5b5a9ea56df8", "title": "An Internship with the School for Field Studies, Center for Rainforest Studies, Yungaburra, Queensland, Australia", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/41e9/5278ba909b1df049e3a4a21d5b5a9ea56df8.pdf"], "doi": []}, {"id": "0e49252f3321f4d701a70569d145b75ae0d2838c", "title": "The Chinese from Indonesia in the Netherlands and their heritage Chinese Indonesian Heritage Center (CIHC)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e49/252f3321f4d701a70569d145b75ae0d2838c.pdf"], "doi": []}, {"id": "049cd28e32d30f4383d54781c7f0efd0fa24831d", "title": "Utilizing a Sampling Center as a Marketing Research optimization model For Vietnamese manufacturers", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/049c/d28e32d30f4383d54781c7f0efd0fa24831d.pdf"], "doi": []}, {"id": "bf1506d4ae33dcf84f182c3692bf9ba6645a58fa", "title": "Study on the Prevalence and Risk Factors of Poultry Coccidiosis in Mekelle Town , North Ethiopia", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bf15/06d4ae33dcf84f182c3692bf9ba6645a58fa.pdf"], "doi": []}, {"id": "aa25ce16d448d25bba0454e881f2ae578c147281", "title": "Changes Mudt Deter ' s 13-Vote Edge Gives GOP Representation on Town Committee", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/aa25/ce16d448d25bba0454e881f2ae578c147281.pdf"], "doi": []}, {"id": "6f9a4a4a16c8a2bdee0fac604da8ca8c3007fabe", "title": "Investigating Town Design and Social Organization at Port Tobacco, Maryland Through the Use of Archaeology and Geophysics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6f9a/4a4a16c8a2bdee0fac604da8ca8c3007fabe.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/pipa.json b/site/datasets/unknown/pipa.json index dd149f9d..c094d308 100644 --- a/site/datasets/unknown/pipa.json +++ b/site/datasets/unknown/pipa.json @@ -1 +1 @@ -{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "citations": [{"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d", "title": "Improving face verification in photo albums by combining facial recognition and metadata with cross-matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/001e/ad9b99ee57af44e1831be1670c40711d348d.pdf"], "doi": []}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "0626908dd710b91aece1a81f4ca0635f23fc47f3", "title": "Rethinking the Inception Architecture for Computer Vision", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780677"]}, {"id": "a1543975098f8ec14f4402f761eefb473100beee", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "39a81acd40a499ac8b70eaa8ed7fd4f4f41be0e0", "title": "Study protocol for a comparative effectiveness trial of two models of perinatal integrated psychosocial assessment: the PIPA project", "year": "2017", "pdf": ["https://bmcpregnancychildbirth.biomedcentral.com/track/pdf/10.1186/s12884-017-1354-0"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28728552", "https://doi.org/10.1186/s12884-017-1354-0"]}, {"id": "286f8a397693499c5712608d1cbfa19e30fa6909", "title": "An Assessment of Iterative Reconstruction Methods for Sparse Ultrasound Imaging", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/286f/8a397693499c5712608d1cbfa19e30fa6909.pdf"], "doi": []}, {"id": "fcc9ba09a4ea62d2dfee8ac9d1465ea45fbb913d", "title": "A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9361/0b8ea22f030c097202dbfc83a83480c08040.pdf"], "doi": []}, {"id": "3aa51d4f6dae14e2dbf3966eb86f071145c03f0e", "title": "Improving centroiding by super-resolution reconstruction of sodium layer density in Shack-Hartmann wavefront sensors.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27168279", "https://doi.org/10.1364/AO.55.003701"]}, {"id": "b52a20e47d9656b4e32bd0b1f6522f5a9ea314d3", "title": "Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10064.pdf"], "doi": []}, {"id": "ffeab97095a8074e1fc05e9d84f4b63a736301be", "title": "Image Reconstruction for Electrical Capacitance Tomography Through Redundant Sensitivity Matrix", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956159"]}, {"id": "b0fa513de3a03a32de0747ab488b5c3a99fd7843", "title": "Phylogenomics reveals rapid, simultaneous diversification of three major clades of Gondwanan frogs at the Cretaceous-Paleogene boundary.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/574c/ed3e56c8aab7293fa1f42ac81d73dbdaeb7f.pdf"], "doi": []}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "4a3fd686ce675659f238c46c629b055cd58651a0", "title": "Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099834"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "4b1bef7841c442e85e4542fa7b6b05003f05b762", "title": "High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4b1b/ef7841c442e85e4542fa7b6b05003f05b762.pdf"], "doi": []}, {"id": "8b697734036148e24fd151f825b6686d373edb4a", "title": "Fast and Accurate Decision Trees for Natural Language Processing Tasks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8b69/7734036148e24fd151f825b6686d373edb4a.pdf"], "doi": []}, {"id": "aabd0fe03f352f28771c7701d9ca40cbeca0c613", "title": "Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis", "year": "2018", "pdf": ["https://bmcmedresmethodol.biomedcentral.com/track/pdf/10.1186/s12874-018-0613-8"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30458727", "https://doi.org/10.1186/s12874-018-0613-8"]}, {"id": "187ccdd0f30bc6e290bb9333e0e87910d7a0b7c1", "title": "Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/187c/cdd0f30bc6e290bb9333e0e87910d7a0b7c1.pdf"], "doi": []}, {"id": "a45d88c33caead08a304bafaf485c4e308a3e464", "title": "Engaging stakeholders in implementation research: lessons from the Future Health Systems Research Programme experience", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0269-6?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297406", "https://doi.org/10.1186/s12961-017-0269-6"]}, {"id": "9f62b249e9130781653424b9cbe00284019bcb34", "title": "Evolutionary History of the Asian Horned Frogs (Megophryinae): Integrative Approaches to Timetree Dating in the Absence of a Fossil Record.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28100792", "https://doi.org/10.1093/molbev%2Fmsw267"]}, {"id": "1db5d63aaaa739d36d3dcb7fd17b2f0775ade681", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "e26f789c9bc16ba633796b410506a35c0d77e6ac", "title": "HeLa nucleic acid contamination in The Cancer Genome Atlas leads to the 1 misidentification of HPV 18 2 3", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e26f/789c9bc16ba633796b410506a35c0d77e6ac.pdf"], "doi": []}, {"id": "d20b7758bfde707115044ad2797cee8d5a988c45", "title": "Phylotranscriptomic consolidation of the jawed vertebrate timetree", "year": "2017", "pdf": ["http://www.evolutionsbiologie-uni-konstanz.com/uploads/7/7/7/4/77747518/irisarri_et_al._2017_nature_ecol_evol.pdf"], "doi": ["https://doi.org/10.1038/s41559-017-0240-5", "https://www.ncbi.nlm.nih.gov/pubmed/28890940"]}, {"id": "68ee4a2a4aecff38598cf99e72bc21a6ecbbcd1f", "title": "Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/68ee/4a2a4aecff38598cf99e72bc21a6ecbbcd1f.pdf"], "doi": []}, {"id": "d944acffb62b321ae86324b90b3f538805494ec0", "title": "The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut", "year": "2016", "pdf": ["http://oar.icrisat.org/9364/1/ng.3517.pdf"], "doi": ["https://doi.org/10.1038/ng.3517", "https://www.ncbi.nlm.nih.gov/pubmed/26901068"]}, {"id": "3d03714aede1f0c1b6452ee03633f28f22fb90b6", "title": "Which Body Is Mine?", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658414"]}, {"id": "42ae67f114c2c012a1b9c239dea69c2f01cde95a", "title": "The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRI\n", "year": "2017", "pdf": ["https://repository.ubn.ru.nl/bitstream/handle/2066/177101/177101.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28828228", "https://doi.org/10.1002/brb3.777"]}, {"id": "cd4be6f12a105909a3145b2a30bc2fbaf66bd584", "title": "Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3dc/51153f555f202bf216cfbfc255c95c16f05d.pdf"], "doi": []}, {"id": "cb90ef9db0e9898f9136ffc806479cac9b8a8ee5", "title": "The invisible dimension of fungal diversity", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1126/science.aae0380", "https://www.ncbi.nlm.nih.gov/pubmed/26965611"]}, {"id": "a988e0bdd48de4c6ff066db08420120d71b5849f", "title": "An entrepreneurial key competencies \u2019 model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a988/e0bdd48de4c6ff066db08420120d71b5849f.pdf"], "doi": []}, {"id": "4d4b48daa6e19d661acdda1a870875c2e82b5dc9", "title": "Competition and feeding ecology in two sympatric Xenopus species (Anura: Pipidae)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d4b/48daa6e19d661acdda1a870875c2e82b5dc9.pdf"], "doi": []}, {"id": "4c69d4c1282b98512d98a9b32ff1e4ad7f6e2831", "title": "Full-length single-cell RNA-seq applied to a viral human cancer: applications to HPV expression and splicing analysis in HeLa S3 cells.", "year": "2015", "pdf": ["https://gigascience.biomedcentral.com/track/pdf/10.1186/s13742-015-0091-4", "https://static-curis.ku.dk/portal/files/153313105/Full_length_single_cell_RNA_seq_applied_to_a_viral_human_cancer.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26550473", "https://doi.org/10.1186/s13742-015-0091-4"]}, {"id": "6fa350c3b8d8019b3568f318edca22b2d5ce1ec9", "title": "Bilevel Optimization with Nonsmooth Lower Level Problems", "year": "2015", "pdf": ["http://lmb.informatik.uni-freiburg.de/Publications/2015/OB15a/ochs_ssvm2015_bilevel.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-18461-6_52"]}, {"id": "10d508af528b88f2658c1bc8d333b2724cf67790", "title": "Transcriptome sequencing of microglial cells stimulated with TLR3 and TLR4 ligands", "year": "2015", "pdf": ["http://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-015-1728-5?site=bmcgenomics.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12864-015-1728-5", "https://www.ncbi.nlm.nih.gov/pubmed/26159724"]}, {"id": "7a39ad4d67f541d0915ad5c07c66cb5abf878787", "title": "Transcriptome sequencing reveals that LPS-triggered transcriptional responses in established microglia BV2 cell lines are poorly representative of primary microglia", "year": "2016", "pdf": ["https://jneuroinflammation.biomedcentral.com/track/pdf/10.1186/s12974-016-0644-1"], "doi": ["https://doi.org/10.1186/s12974-016-0644-1", "https://www.ncbi.nlm.nih.gov/pubmed/27400875"]}, {"id": "a7dc78dc9a5afbbb25263752579bc5cc7e625f47", "title": "LincRNA-Gm4419 knockdown ameliorates NF-\u03baB/NLRP3 inflammasome-mediated inflammation in diabetic nephropathy", "year": "2017", "pdf": ["http://www.nature.com/articles/cddis2016451.pdf?code=e02f406e-e495-4a86-a80f-535e9298c837&error=cookies_not_supported"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28151474", "https://doi.org/10.1038/cddis.2016.451"]}, {"id": "7344b71d205a7ad71ebad2873c063d7008f231fc", "title": "The IWSLT 2016 Evaluation Campaign", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7344/b71d205a7ad71ebad2873c063d7008f231fc.pdf"], "doi": []}, {"id": "229695eaa816a925b7ec987f673389cc8e50ccad", "title": "The use of bioacoustics in anuran taxonomy: theory, terminology, methods and recommendations for best practice.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2296/95eaa816a925b7ec987f673389cc8e50ccad.pdf"], "doi": []}, {"id": "4e7942a35fedc6bcb8a973608809f798a8d182bf", "title": "Multi-Granularity Reasoning for Social Relation Recognition from Images", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.03067.pdf"], "doi": []}, {"id": "8a72d38b8803089821deb7797247d5f0c51a980c", "title": "Lactobacillus casei Strain Shirota Alleviates Constipation in Adults by Increasing the Pipecolinic Acid Level in the Gut", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8a72/d38b8803089821deb7797247d5f0c51a980c.pdf"], "doi": []}, {"id": "3f058948b51c477b1d50d2586249726feded1f05", "title": "Computational Identification of Indispensable Virulence Proteins of Salmonella Typhi CT18", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f05/8948b51c477b1d50d2586249726feded1f05.pdf"], "doi": []}, {"id": "e406566e9cc891b597c6e131bd13587c7a91fcf7", "title": "Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29908476", "https://doi.org/10.1016/j.jad.2018.05.078"]}, {"id": "18d6126231012c8e7fcfc6416cfd4adc4e80557a", "title": "NEON NIST data science evaluation challenge: methods and results of team FEM", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18d6/126231012c8e7fcfc6416cfd4adc4e80557a.pdf"], "doi": []}, {"id": "5223e1170f4d5ed07a69b195bb442fc825c74b70", "title": "Combined nonlinear metrics to evaluate spontaneous EEG recordings from chronic spinal cord injury in a rat model: a pilot study", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11571-016-9394-0", "https://www.ncbi.nlm.nih.gov/pubmed/27668016"]}, {"id": "4a75f9406b2bc407ededf651d75a052c1122d7fc", "title": "Tracking the global footprint of fisheries", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1126/science.aao5646", "http://wormlab.biology.dal.ca/publication/view/kroodsma-da-mayorga-j-hochberg-t-miller-na-boerder-k-ferretti-f-wilson-a-bergman-b-white-td-block-ba-woods-p-sullivan-b-costello-c-worm-b-2018-tracking-the-global-footprint-of-fisheries/", "https://www.ncbi.nlm.nih.gov/pubmed/29472481"]}, {"id": "c880de441a41c351955ad0bf8f712eeee500ac67", "title": "The Sound of Motions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05979.pdf"], "doi": []}, {"id": "be16b4c57b465781490be93d2364a6d72fa19d10", "title": "Molecular Phylogenies indicate a Paleo-Tibetan Origin of Himalayan Lazy Toads (Scutiger)", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-03395-4", "https://www.ncbi.nlm.nih.gov/pubmed/28607415"]}, {"id": "adc902e63cc57963f9b592db9422407ccf5513b3", "title": "Meeting the challenge of DNA barcoding Neotropical amphibians: polymerase chain reaction optimization and new COI primers.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28029226", "https://doi.org/10.1111/1755-0998.12648"]}, {"id": "d4af02345a2b395f68fff9fc9fda980fa3cb2a99", "title": "Participatory monitoring and evaluation approaches that influence decision-making: lessons from a maternal and newborn study in Eastern Uganda", "year": "2017", "pdf": ["http://eprints.lse.ac.uk/86955/1/Kananura%20Participatory%20monitoring%20and%20evaluation%20approaches%20that%20influence%20decision-making.pdf", "https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0274-9?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297410", "https://doi.org/10.1186/s12961-017-0274-9"]}, {"id": "872761c9dc1225cc298da7666f0c3819213ec367", "title": "The Science of Impact and the Impact of Agricultural Science", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8727/61c9dc1225cc298da7666f0c3819213ec367.pdf"], "doi": []}, {"id": "f22fca10092c92f71ebf75fe1e06cf545aff2a26", "title": "Coordinated neuronal ensembles in primary auditory cortical columns", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ee0/10ab0c4c56f2ad3a49edf0d5e76fb4ba2499.pdf"], "doi": []}, {"id": "e3340139c64cd80b3f772af80be8631a7bc0a4cd", "title": "Comparative study of singing voice detection methods", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2894-9"]}, {"id": "65393691b6b37b5c2ffc8609d6f6d37a06ff4dcc", "title": "Quantifying the power and consequences of social media protest", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6539/3691b6b37b5c2ffc8609d6f6d37a06ff4dcc.pdf"], "doi": []}, {"id": "0e10eb11d0df37c76b9dbc2f7ae8958140d320bf", "title": "Review-Reservoir Computing Trend on Software and Hardware Implementation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e10/eb11d0df37c76b9dbc2f7ae8958140d320bf.pdf"], "doi": []}, {"id": "69b4200bbc98628109d8ce9005376f5a77f4d55c", "title": "Data Besar, Data Analisis, dan Pengembangan Kompetensi Pustakawan Big Data, Data Analyst, and Improving the Competence of Librarian", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/69b4/200bbc98628109d8ce9005376f5a77f4d55c.pdf"], "doi": []}, {"id": "6ec23eff50f810dfce9b6e072d2bb98d5ff03c5f", "title": "Internet Safe Harbors and the Transformation of Copyright Law", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6ec2/3eff50f810dfce9b6e072d2bb98d5ff03c5f.pdf"], "doi": []}, {"id": "5b7ff330bb5f3e0d40e236ad698e00e10d9f836a", "title": "Identifying Political Sentiment between Nation States with Social Media", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b7f/f330bb5f3e0d40e236ad698e00e10d9f836a.pdf"], "doi": []}, {"id": "6db8af1999cf21476021f24e76bb395bb0afcad5", "title": "Digital dissection of the model organism Xenopus laevis using contrast-enhanced computed tomography.", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/10070983/1/Porro_10925%20_edited.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28547827", "https://doi.org/10.1111/joa.12625"]}, {"id": "5f353acdcef2f7a3b52af35ee180b332013cffdf", "title": "Genetics and Genetic Biomarkers in Sporadic Colorectal Cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26216840", "https://doi.org/10.1053/j.gastro.2015.06.047"]}, {"id": "9e31cd0f454fda3945029ea4b89e2221db6e5e7d", "title": "Socio-structural and psychological foundations of climate change beliefs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9e31/cd0f454fda3945029ea4b89e2221db6e5e7d.pdf"], "doi": []}, {"id": "0a486d331c6f960a8fa7e7b2ced22109703eed44", "title": "Data-Driven Topological Filtering Based on Orthogonal Minimal Spanning Trees: Application to Multigroup Magnetoencephalography Resting-State Connectivity.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28891322", "https://doi.org/10.1089/brain.2017.0512"]}, {"id": "c7a6963d1c0a4026e4ceac97c01db55f4f7cad5c", "title": "Elevated autophagy gene expression in adipose tissue of obese humans: A potential non-cell-cycle-dependent function of E2F1", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c7a6/963d1c0a4026e4ceac97c01db55f4f7cad5c.pdf"], "doi": []}, {"id": "556dd6bc70f4414b4114aeca065ff381ee19c179", "title": "Altered modulation of gamma oscillation frequency by speed of visual motion in children with autism spectrum disorders", "year": "2015", "pdf": ["https://jneurodevdisorders.biomedcentral.com/track/pdf/10.1186/s11689-015-9121-x?site=jneurodevdisorders.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s11689-015-9121-x", "https://www.ncbi.nlm.nih.gov/pubmed/26261460"]}, {"id": "b0db9602697a99ed23e13fda9ce15ec79d6e4818", "title": "CDK4/6 blockade in breast cancer: current experience and future perspectives.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29027483", "https://doi.org/10.1080/13543784.2017.1389896"]}, {"id": "1057ddfa6ce75e99f0820cc8e4ac7f677a796fba", "title": "From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811916306607?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2016.11.042", "https://www.ncbi.nlm.nih.gov/pubmed/27915117", "https://www.wikidata.org/entity/Q45949296"]}, {"id": "74596c2f941b7ec62c739bc4adc097ea16b3896e", "title": "Breeding seabird populations in Brazilian oceanic islands: historical review, update and a call for census standardization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7459/6c2f941b7ec62c739bc4adc097ea16b3896e.pdf"], "doi": []}, {"id": "ededf34003027dd90f32b97d52c7964291972b56", "title": "Are diversification rates and chromosome evolution in the temperate grasses (Pooideae) associated with major environmental changes in the Oligocene-Miocene?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eded/f34003027dd90f32b97d52c7964291972b56.pdf"], "doi": []}, {"id": "1413932440feab47496303da8581b94d7d72d283", "title": "Variability of candidate genes, genetic structure and association with sugar accumulation and climacteric behavior in a broad germplasm collection of melon (Cucumis melo L.)", "year": "2015", "pdf": ["http://bmcgenet.biomedcentral.com/track/pdf/10.1186/s12863-015-0183-2?site=bmcgenet.biomedcentral.com", "http://digital.csic.es/bitstream/10261/115886/1/leida%20et%20el%202015%20BMC%20genetics%20Variability%20of%20candidate%20genes.pdf", "https://aran.library.nuigalway.ie/bitstream/handle/10379/5660/Leida-2015-Variability_of_candi.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1186/s12863-015-0183-2", "https://www.ncbi.nlm.nih.gov/pubmed/25886993"]}, {"id": "88fb4a4c7555f9d731ccc521be9add2c3c05bfb6", "title": "Joint analysis of extracellular spike waveforms and neuronal network bursts", "year": "2016", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015004240?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.jneumeth.2015.11.022", "https://www.ncbi.nlm.nih.gov/pubmed/26675487"]}, {"id": "19fe4623f6a3d7db31682d2af7eaf9d39e36c126", "title": "Horizontal visibility graph transfer entropy (HVG-TE): A novel metric to characterize directed connectivity in large-scale brain networks", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811917304457?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2017.05.047", "https://www.ncbi.nlm.nih.gov/pubmed/28539247", "https://www.wikidata.org/entity/Q38766520"]}, {"id": "6b121bc1cfa90a9c35b397739673dee90689b4d1", "title": "Computational analysis of memory capacity in echo state networks", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27599031", "https://doi.org/10.1016/j.neunet.2016.07.012", "https://www.wikidata.org/entity/Q39419044"]}, {"id": "8f2830175439a9ed749ec07eb440ada3f8d3eab0", "title": "Triad of human cellular proteins, IRF2, FAM111A, and RFC3, restrict replication of orthopoxvirus SPI-1 host-range mutants.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28320935", "https://doi.org/10.1073/pnas.1700678114"]}, {"id": "6136079ba26c0b3842171308fe3e991750239535", "title": "Possible Human Papillomavirus 38 Contamination of Endometrial Cancer RNA Sequencing Samples in The Cancer Genome Atlas Database.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26085148", "https://doi.org/10.1128/JVI.00822-15"]}, {"id": "f089607a12bbefeafa2a302b5c634ef66957b7cb", "title": "Do senior medical students meet recommended emergency medicine curricula requirements?", "year": "2018", "pdf": ["https://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-1110-1?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29304795", "https://doi.org/10.1186/s12909-017-1110-1"]}, {"id": "dfbf0b49e9731025456cd30f745314225279983f", "title": "Modulation of network-to-network connectivity via spike-timing-dependent noninvasive brain stimulation.", "year": "2018", "pdf": ["http://www.tmslab.org/publications/842.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30113111", "https://doi.org/10.1002/hbm.24329"]}, {"id": "b6cc07a6d7b92061f6820e5a48c8fd560622f830", "title": "Identification of potential biomarkers to differentially diagnose solid pseudopapillary tumors and pancreatic malignancies via a gene regulatory network", "year": "2015", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/s12967-015-0718-3&originUrl=http://translational-medicine.biomedcentral.com/article/10.1186/s12967-015-0718-3"], "doi": ["https://doi.org/10.1186/s12967-015-0718-3", "https://www.ncbi.nlm.nih.gov/pubmed/26578390"]}, {"id": "dc6e1dcc3a57407846009d3723ccee94901fad7e", "title": "Up-regulation of CDK16 by multiple mechanisms in hepatocellular carcinoma promotes tumor progression", "year": "2017", "pdf": ["https://jeccr.biomedcentral.com/track/pdf/10.1186/s13046-017-0569-2?site=jeccr.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28716136", "https://doi.org/10.1186/s13046-017-0569-2"]}, {"id": "6e519f7ef5d1364b639f50b37fe2927a554eb114", "title": "Multiple extreme environmental conditions of intermittent soda pans in the Carpathian Basin (Central Europe).", "year": "2017", "pdf": ["https://core.ac.uk/download/pdf/78474239.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28572691", "https://doi.org/10.1016/j.limno.2016.10.003"]}, {"id": "a7359718e3f59adf9c78261c284974e910078192", "title": "Effects of pyrrolidine dithiocarbamate on proliferation and nuclear factor-\u03baB activity in autosomal dominant polycystic kidney disease cells", "year": "2015", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/s12882-015-0193-3&originUrl=http://bmcnephrol.biomedcentral.com/article/10.1186/s12882-015-0193-3"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26666710", "https://doi.org/10.1186/s12882-015-0193-3"]}, {"id": "dc1cfd24c194b932f094aa284dbd0cb7d6db8ae7", "title": "Investigation of synergistic mechanism and identification of interaction site of aldose reductase with the combination of gigantol and syringic acid for prevention of diabetic cataract", "year": "2016", "pdf": ["https://bmccomplementalternmed.biomedcentral.com/track/pdf/10.1186/s12906-016-1251-5"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27520089", "https://doi.org/10.1186/s12906-016-1251-5"]}, {"id": "6c66b256f2afa0340946a2687efe03d98635ac8c", "title": "The first metagenome of activated sludge from full-scale anaerobic/anoxic/oxic (A2O) nitrogen and phosphorus removal reactor using Illumina sequencing.", "year": "2015", "pdf": ["http://www.jesc.ac.cn/jesc_en/ch/reader/create_pdf.aspx?file_no=S1001074215002508&flag=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26354707", "https://doi.org/10.1016/j.jes.2014.12.027"]}, {"id": "155bf3bbdaa9b188e57941a13beaae3ed88d4f16", "title": "Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data", "year": "2017", "pdf": ["https://microbiomejournal.biomedcentral.com/track/pdf/10.1186/s40168-016-0224-8", "https://static-content.springer.com/esm/art:10.1186%2Fs40168-016-0224-8/MediaObjects/40168_2016_224_MOESM7_ESM.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28118849", "https://doi.org/10.1186/s40168-016-0224-8"]}, {"id": "cc8b8a5a94663ad04d12e3dfb9fdbd6b2a90a9f8", "title": "Population Pharmacokinetics of Liposomal Irinotecan in Patients With Cancer", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28445610", "https://doi.org/10.1002/cpt.720"]}, {"id": "17541aff81a0c91d80579534d536c93f33e23eb3", "title": "Viral sequences in human cancer.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29107929", "https://doi.org/10.1016/j.virol.2017.10.017"]}, {"id": "3755cc2648a7127d960fccc41f8ae45e0646fb88", "title": "Auditory Feedback Differentially Modulates Behavioral and Neural Markers of Objective and Subjective Performance When Tapping to Your Heartbeat", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3755/cc2648a7127d960fccc41f8ae45e0646fb88.pdf"], "doi": []}, {"id": "d353a12e86568aa906b77902d23e3efe5fa753a7", "title": "Medical students\u2019 preparedness for professional activities in early clerkships", "year": "2017", "pdf": ["https://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-0971-7?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28830418", "https://doi.org/10.1186/s12909-017-0971-7"]}, {"id": "2e6c0d9a85422f12a3f872bba7e6c4aabafb7f6e", "title": "The LncRNA EPEL Promotes Lung Cancer Cell Proliferation Through E2F Target Activation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e6c/0d9a85422f12a3f872bba7e6c4aabafb7f6e.pdf"], "doi": []}, {"id": "c6527076c5b732070b6bf4d7573f5214093ed38b", "title": "Ruxolitinib sensitizes ovarian cancer to reduced dose Taxol, limits tumor growth and improves survival in immune competent mice", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0fa9/3f4e8304687dae4ea9c03933726e54836aff.pdf"], "doi": []}, {"id": "72fda2a71c9ff6150fd0de1ae36da55acc2b4f84", "title": "The role of radiation therapy in pancreatic ductal adenocarcinoma in the neoadjuvant and adjuvant settings.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25726059", "https://doi.org/10.1053/j.seminoncol.2014.12.013"]}, {"id": "b2eaf48702f8f4f1ed7f0a559a3304d895c54e3d", "title": "CeL-ID: cell line identification using RNA-seq data", "year": "2018", "pdf": ["https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-018-5371-9"], "doi": ["https://doi.org/10.1186/s12864-018-5371-9", "https://www.ncbi.nlm.nih.gov/pubmed/30712511"]}, {"id": "2a7f3aac050fb9a58f61401c7435766f74d7826e", "title": "TCGA data and patient-derived orthotopic xenografts highlight pancreatic cancer-associated angiogenesis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1c4a/90a3e85a8dfc7853ba550436d2ef2bc6f855.pdf"], "doi": []}, {"id": "6eee0f81e4b0ac40798aa13c5bdc65121a3a4bd4", "title": "Viral infections and breast cancer - A current perspective.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29410005", "https://doi.org/10.1016/j.canlet.2018.01.076"]}, {"id": "6bde9b4e4b3684f62847f9d675944d7349d8aebb", "title": "Medical student changes in self-regulated learning during the transition to the clinical environment", "year": "2017", "pdf": ["https://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-0902-7?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28327147", "https://doi.org/10.1186/s12909-017-0902-7"]}, {"id": "07e28a3c02c9213d8d3a4eb885739e6fa5ccbc59", "title": "Towards Secure Collaboration in Federated Cloud Environments", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784642"]}, {"id": "0e05deeae34639409a73c0bd2e0fe1b8bd96a994", "title": "Isolation and characterization of a novel putative human polyomavirus.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28342387", "https://doi.org/10.1016/j.virol.2017.03.007"]}, {"id": "973005f8a7941d8dda514e7d937339043d811920", "title": "Merkel cell polyomavirus T antigens promote cell proliferation and inflammatory cytokine gene expression.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bfa9/bf176bf64f23c46e795642db67f7228b5c38.pdf"], "doi": []}, {"id": "76caa1b9d6ffd845cbf9a545b82b1826c68772f7", "title": "Histidine catabolism is a major determinant of methotrexate sensitivity", "year": "2018", "pdf": ["http://sabatinilab.wi.mit.edu/pubs/2018/kanarekNature.pdf"], "doi": ["https://doi.org/10.1038/s41586-018-0316-7", "https://www.ncbi.nlm.nih.gov/pubmed/29995852"]}, {"id": "e83feb2cdcae3d3cc27e220e9cfeeab750a6417d", "title": "Open Digital Repositories - The Movement of Open Access in Opposition to the Oligopoly of Scientific Publishers", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e83f/eb2cdcae3d3cc27e220e9cfeeab750a6417d.pdf"], "doi": []}, {"id": "b55899aa7161f79be69e19d512830d57f2b2e3ce", "title": "Information theory and robotics meet to study predator-prey interactions.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28764408", "https://doi.org/10.1063/1.4990051"]}, {"id": "08e10ac62efec48c24d9d85de410c4d46984b85c", "title": "Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08e1/0ac62efec48c24d9d85de410c4d46984b85c.pdf"], "doi": []}, {"id": "59fd73c73a529d153f994fdcf9a43272f5ea81af", "title": "Drug Battles and School Achievement: Evidence from Rio de Janeiro's Favelas", "year": "2017", "pdf": ["http://scioteca.caf.com/bitstream/handle/123456789/250/drug-battles-school-achievement-evidence-rio-janeiro.pdf?isAllowed=y&sequence=1", "http://www.ie.ufrj.br/images/pesquisa/pesquisa/textos_sem_peq/texto1305.pdf", "https://www.aeaweb.org/conference/2014/retrieve.php?pdfid=142", "https://www.dartmouth.edu/~neudc2012/docs/paper_260.pdf"], "doi": ["https://doi.org/10.1162/REST_a_00628"]}, {"id": "74e06618a7c76311b9272fbdfbb81849faef0dc0", "title": "A model of rapid phonotactic generalization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/74e0/6618a7c76311b9272fbdfbb81849faef0dc0.pdf"], "doi": []}, {"id": "bd0b179d9badf9ca83cb73154ae6107a7e126fcd", "title": "MediaViz: An Interactive Visualization Platform for Online Media Studies", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808474"]}, {"id": "94b5c8c7987a6a067d35ec00ee3d341ebffb1d73", "title": "Information theoretic approaches for inference of biological networks from continuous-valued data", "year": "2016", "pdf": ["https://bmcsystbiol.biomedcentral.com/track/pdf/10.1186/s12918-016-0331-y?site=bmcsystbiol.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12918-016-0331-y", "https://www.ncbi.nlm.nih.gov/pubmed/27599566", "https://www.wikidata.org/entity/Q31126931"]}, {"id": "fa3250f3947795e779b68bad07843632e15f383e", "title": "The interplay of past diversification and evolutionary isolation with present imperilment across the amphibian tree of life", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41559-018-0515-5", "https://www.ncbi.nlm.nih.gov/pubmed/29581588"]}, {"id": "746af50882e26a0f928c2035f0fd47b146725f7e", "title": "Learning structure of sensory inputs with synaptic plasticity leads to interference", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/746a/f50882e26a0f928c2035f0fd47b146725f7e.pdf"], "doi": []}, {"id": "06e098868eb775f8747baf48abcea37d4096035f", "title": "Data-driven Topological Filtering based on Orthogonal Minimal Spanning Trees: Application to Multi-Group MEG Resting-State Connectivity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/06e0/98868eb775f8747baf48abcea37d4096035f.pdf"], "doi": []}, {"id": "3b83aa6f4b1600ecd705b7abf6bbc3d13ba882fa", "title": "Data sharing and use of ICTs in agriculture: working with small farmer groups in Colombia", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3b83/aa6f4b1600ecd705b7abf6bbc3d13ba882fa.pdf"], "doi": []}, {"id": "9b4bd5fe014465cc3fad70ab40aceac0a32555db", "title": "Combination of statistical and physically based methods to assess shallow slide susceptibility at the basin scale", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/705f/8be9b57621500f549bfdc632296ae25b6b87.pdf"], "doi": []}, {"id": "dc81364eb67c2798abeee0518cc5fd2aa13cafad", "title": "Carbon stable isotope composition of charophyte organic matter in a small and shallow Spanish water body as a baseline for future trophic studies", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aec/0b11a3bb90489947374d5b474b93e4a2ed2b.pdf"], "doi": []}, {"id": "e05ce0ad2cfdb434bda2943336f87372d3c9696b", "title": "Group-housed females promote production of asexual ootheca in American cockroaches", "year": "2017", "pdf": ["https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/64778/1/Katoh%20et%20al.,%202017.pdf", "https://zoologicalletters.biomedcentral.com/track/pdf/10.1186/s40851-017-0063-x?site=zoologicalletters.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s40851-017-0063-x", "https://www.ncbi.nlm.nih.gov/pubmed/28331632"]}, {"id": "9a10359fb27c73dbb4941f703272a485bf80ea3f", "title": "Uncovering Neuronal Networks Defined by Consistent Between-Neuron Spike Timing from Neuronal Spike Recordings", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9a10/359fb27c73dbb4941f703272a485bf80ea3f.pdf"], "doi": []}, {"id": "e2d75ce9a2530397d01fd8457a266c089650403f", "title": "Deconstructing cartilage shape and size into contributions from embryogenesis, metamorphosis, and tadpole and frog growth.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25913729", "https://doi.org/10.1111/joa.12303"]}, {"id": "ae79644994072ee6d2a20c6c5312388216695e6e", "title": "Eigenspace generalized sidelobe canceller combined with SNR dependent coherence factor for plane wave imaging", "year": "2018", "pdf": ["https://biomedical-engineering-online.biomedcentral.com/track/pdf/10.1186/s12938-018-0541-1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30103746", "https://doi.org/10.1186/s12938-018-0541-1"]}, {"id": "e953a4720f0318ea95d5710a6f1fdf057af2415e", "title": "Data-based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e953/a4720f0318ea95d5710a6f1fdf057af2415e.pdf"], "doi": []}, {"id": "e2751175921b0ad49009014e42036f5e3c5733ee", "title": "Parametric estimation of cross-frequency coupling", "year": "2015", "pdf": ["http://discovery.ucl.ac.uk/1463896/1/Parametric%20estimation%20of%20cross-frequency%20coupling.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015000394", "https://doi.org/10.1016/j.jneumeth.2015.01.032", "https://www.ncbi.nlm.nih.gov/pubmed/25677405"]}, {"id": "918cb1561227a2ac8d97a3891bc9d2735e3144ab", "title": "Performance of surface and subsurface flow constructed wetlands treating eutrophic waters.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28399497", "https://doi.org/10.1016/j.scitotenv.2017.03.278"]}, {"id": "effcb72f9db35e06219a93a64a2d9bbd6c97a15f", "title": "Google Politics : The Political Determinants of Internet Censorship in Democracies \u2217", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/effc/b72f9db35e06219a93a64a2d9bbd6c97a15f.pdf"], "doi": []}, {"id": "85cbf9066cd568bddeddba843f604e883d9aeb3b", "title": "Estimating the impact of structural directionality: How reliable are undirected connectomes?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01651.pdf"], "doi": []}, {"id": "775b2829c1c0d40fc827b186bacb82ac04a997dd", "title": "Application of Metabolomic Tools for Studying Low Molecular-Weight Fraction of Animal Venoms and Poisons", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775b/2829c1c0d40fc827b186bacb82ac04a997dd.pdf"], "doi": []}, {"id": "16e25eacf9309f53778d95a5a16899f6ed91595a", "title": "Frequency-based brain networks: From a multiplex framework to a full multilayer description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06091.pdf"], "doi": []}, {"id": "05074f3b335b6a7bf038e04acce4ad7dbfda9643", "title": "The suction mechanism of the pipid frog, Pipa pipa (Linnaeus, 1758).", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28547886", "https://doi.org/10.1002/jmor.20707"]}, {"id": "c563bb4094df718c53fc9c9adf6a370a1f1dbe05", "title": "Petrosectomy and Topographical Anatomy in Traditional Kawase and Posterior Intradural Petrous Apicectomy (PIPA) Approach: An Anatomical Study.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26431733", "https://doi.org/10.1016/j.wneu.2015.08.083"]}, {"id": "18b4878764edfcca7adcf152c63c4ed875d942bb", "title": "Pipa carvalhoi skin secretion profiling: absence of peptides and identification of kynurenic acid as the major constitutive component.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25181950", "https://doi.org/10.1016/j.cbpc.2014.08.001"]}, {"id": "bbb6dfaae8dbf37c646fc4905a7f83791fe3bd23", "title": "Studi Numerik Pengaruh Kecepatan Angin Terhadap Critical Radius Dan Distribusi Temperatur Pada Pipa Uap", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bbb6/dfaae8dbf37c646fc4905a7f83791fe3bd23.pdf"], "doi": []}, {"id": "41595b385b0c913c67b47870ff91a1385bd1ea47", "title": "Horizontal Directivity of Pipa Radiation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a562/aef4c60e76b58f107ec18659b210656d12e0.pdf"], "doi": []}, {"id": "79de8cc2d7b254b5995fdc7fbb1ad4f9ca24cbc1", "title": "Playing methods and techniques of pipa", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/79de/8cc2d7b254b5995fdc7fbb1ad4f9ca24cbc1.pdf"], "doi": []}, {"id": "b34d587e2afd8e40d19bf207009a414c705d3915", "title": "ANALISA INTEGRITAS PIPA MILIK JOINT OPERATIONBODY PERTAMINA-PETROCHINA EAST JAVA SAATINSTALASI", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b34d/587e2afd8e40d19bf207009a414c705d3915.pdf"], "doi": []}, {"id": "f088e4101bf701dcb364ca760e1e9515a0453177", "title": "[Consensus-based recommendations and proposals for improving the management of elderly emergency patients with suspected infection in the Spanish autonomous community of Valencia: the PIPA project].", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29077349"]}, {"id": "a53da5a53033bc614829ea42ff80d5fb846f1db4", "title": "Analisa Kegagalan Pipa Desuperheater Spray pada Pembangkit Listrik Tenaga Uap Unit 4 PT. PJB UP. Gresik", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a53d/a5a53033bc614829ea42ff80d5fb846f1db4.pdf"], "doi": []}, {"id": "0c92c92ab302aab52f15ecd1f7283ebd3e177760", "title": "KOROSI PIPA PENDINGIN SEKUNDER RSG-GAS DENGAN TEKNIK ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0c92/c92ab302aab52f15ecd1f7283ebd3e177760.pdf"], "doi": []}, {"id": "c34a10d7975c04860f111f7c4be093a190c9ca3c", "title": "FACTORES DE ATRACTIVIDAD Y CALIDAD DE LOS SERVICIOS TUR\u00cdSTICOS EN EL DESTINO PIPA - BRASIL", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c34a/10d7975c04860f111f7c4be093a190c9ca3c.pdf"], "doi": []}, {"id": "53e9a0d4ee6050dfdf2c2a28128ad20932c8a63e", "title": "A simplified table for staging embryos of the pipid frog Pipa arrabali.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/53e9/a0d4ee6050dfdf2c2a28128ad20932c8a63e.pdf"], "doi": []}, {"id": "91630ba8d7df31451326de16c55920b0397c4fb1", "title": "Analisis On-Bottom Stability dan Local Buckling: Studi Kasus Pipa Bawah Laut dari Platform Ula Menuju Platform Uw", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9163/0ba8d7df31451326de16c55920b0397c4fb1.pdf"], "doi": []}, {"id": "ed10a4444d75a880b316634b74614116c0ca1a25", "title": "PERANCANGAN RISER DAN EXPANSION SPOOL PIPA BAWAH LAUT: STUDI KASUS KILO FIELD PT. PERTAMINA HULU ENERGI OFFSHORE NORTH WEST JAVA", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ed10/a4444d75a880b316634b74614116c0ca1a25.pdf"], "doi": []}, {"id": "52766e1120013de308509bb5dd29c28ea7db17ff", "title": "Possible photoactivated dermatitis with features of post-inflammatory pigmentary alteration (PIPA) and rosacea.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5276/6e1120013de308509bb5dd29c28ea7db17ff.pdf"], "doi": []}, {"id": "24508e9632fd5e5088757ee7ddbf71789782d721", "title": "Engine Matching Propeller Pada Kapal Ikan Pipa Paralon Untuk Mendapatkan Sistem Propulsi Yang Optimal", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2450/8e9632fd5e5088757ee7ddbf71789782d721.pdf"], "doi": []}, {"id": "8fd00a1224f2e88ebe58cfb041818940f664a045", "title": "DISTRIBUSI LIQUID HOLD UP PADA ALIRAN CINCIN (ANNULAR) AIR\u2013UDARA DI PIPA HORIZONTAL MENGGUNAKAN C.E.C.M", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8fd0/0a1224f2e88ebe58cfb041818940f664a045.pdf"], "doi": []}, {"id": "28c30df2536340aa4ae2f746f91ef8477dfac6e0", "title": "Spesimen Pipa Api 5 l Grade X 42", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/28c3/0df2536340aa4ae2f746f91ef8477dfac6e0.pdf"], "doi": []}, {"id": "c391a08801e6357919c0f309b0936aaec676d3fc", "title": "The Pharmacokinetics of Morphine and Codeine in Human Plasma and Urine after Oral Administration of Qiangli Pipa Syrup.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29148050", "https://doi.org/10.1111/1556-4029.13696"]}, {"id": "bb8cb0ce88c64c8d68a7908eef649f532357d4b9", "title": "Analisa Atenuasi pada Pipa Plastik Dengan Kawat Logam Sebagai Terahertz Waveguide Menggunakan Metode Finite Difference", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bb8c/b0ce88c64c8d68a7908eef649f532357d4b9.pdf"], "doi": []}, {"id": "3c166bf8ab44e82d80cbb5a4fb95b7a102e1fcef", "title": "ANALISA DAN PERANCANGAN SISTEM REPORTING ONLINEPATROLI DAN LEAK SURVEY JARINGAN PIPA GAS BUMI", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3c16/6bf8ab44e82d80cbb5a4fb95b7a102e1fcef.pdf"], "doi": []}, {"id": "df4c0cbe99ef423ea511e54cd0fa561c333755ad", "title": "ANALISA TEGANGAN PIPA STEAM LOW CONDENSATE DIAMETER 6\u201d PADA PT IKPT", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4c/0cbe99ef423ea511e54cd0fa561c333755ad.pdf"], "doi": []}, {"id": "3b2de110ff0600ecd24c13090683494692a0f40d", "title": "Gera\u00e7\u00e3o de energia por pipas Power generation with kites", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3b2d/e110ff0600ecd24c13090683494692a0f40d.pdf"], "doi": []}, {"id": "ebb3c582d1f1a36bc678fdda74c64a70fb9a1016", "title": "PERANCANGAN KAPAL IKAN MINI PURSE SINE DISPLACEMENT 15 TON TIPE MONOHULL MENGGUNAKAN PIPA PVC", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebb3/c582d1f1a36bc678fdda74c64a70fb9a1016.pdf"], "doi": []}, {"id": "716f9b8187f36333d649c56cb608ed2d56f55d2d", "title": "\u2018 Recomposing \u2019 Unpublished Chinese Folk Songs into New Australian Compositions for Pipa and Piano", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/716f/9b8187f36333d649c56cb608ed2d56f55d2d.pdf"], "doi": []}, {"id": "cdae2b3d3ea5631869489a1f7e08dc65cd0fd698", "title": "Response: Commentary: Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9411/f7fc1ef343e7003a44b81e653afe0702d6d4.pdf"], "doi": []}, {"id": "5a760792ca3b3e61106fc620c78af5c17252c3d8", "title": "ANALISIS COMPUTATIONAL FLUID DYNAMICS (CFD) TERHADAP PROFIL TEMPERATUR UNTUK KONDENSASI STEAM ARAH CIRCUMFERENTIAL PADA PIPA KONSENTRIK HORISONTAL DENGAN ALIRAN PENDINGINAN SEARAH DI DALAM RUANG ANULAR", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5a76/0792ca3b3e61106fc620c78af5c17252c3d8.pdf"], "doi": []}, {"id": "2974aa16071a0b018089f19b0bd5866f5203357b", "title": "PENGARUH TEMPERATUR PADA COATING WRAPPING TAPE TERHADAP COATING BREAKDOWN DAN CURRENT DENSITY PADA PIPA BAJA DALAM APLIKASI IMPRESSED CURRENT CATHODIC PROTECTION (ICCP)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2974/aa16071a0b018089f19b0bd5866f5203357b.pdf"], "doi": []}, {"id": "9b9ec9a27a0d77dcba5c8324e19f4539fd57f239", "title": "PEMETAAN UTILITAS PIPA DAN KABEL BAWAH TANAH DI JALAN SUDIRMAN, DKI JAKARTA DENGAN METODE GROUND PENETRATING RADAR (GPR)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9b9e/c9a27a0d77dcba5c8324e19f4539fd57f239.pdf"], "doi": []}, {"id": "96a70ef603c22a1d12f6d8695bdca787d72e6894", "title": "Programasi Linear untuk Pencarian Diameter Pipa Optimal pada Sistem Jaringan Pipa Distribusi Air Bersih", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/96a7/0ef603c22a1d12f6d8695bdca787d72e6894.pdf"], "doi": []}, {"id": "03c5d4032260f610e5ab8643f9a375562d376e12", "title": "ALBORES DEL PSICOTROPISMO EN SAN PEDRO DE ATACAMA: PIPAS VS. TABLETAS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/03c5/d4032260f610e5ab8643f9a375562d376e12.pdf"], "doi": []}, {"id": "9534e69ec99febdc3d651d047f59220ceeb2ddf8", "title": "A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9534/e69ec99febdc3d651d047f59220ceeb2ddf8.pdf"], "doi": []}, {"id": "f330efc0c08a18f23727ed61672548c1a76147b9", "title": "Terapia g\u00e9nica: \u00bfrealidad o s\u00f3lo un sue\u00f1o de pipa?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f330/efc0c08a18f23727ed61672548c1a76147b9.pdf"], "doi": []}, {"id": "386824729fb4a73a3e3123458c24f96595866b06", "title": "PENGARUH PENAMBAHAN ARANG SEKAM PADI TERHADAP SIFAT KONDUKTIVITAS HIDROLIK PIPA MORTAR", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d639/d10aeb12289be047b30f7ce1c39ef79b5caa.pdf"], "doi": []}, {"id": "f9c481c3ba9565de5145e9d5fd7b6ca9c1e974f2", "title": "USULAN RANCANGAN MESIN SANDBLASTING UNTUK PRODUK PIPA BUSHING ARM HONDA CRV", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f9c4/81c3ba9565de5145e9d5fd7b6ca9c1e974f2.pdf"], "doi": []}, {"id": "c2e0e6b13f90a39e77d835cd2e938d6b861fe0c4", "title": "Pengaruh Variasi Sudut Butterfly Valve Pada Pipa Gas Buang Terhadap Unjuk Kerja Motor Bensin 4 Langkah", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c2e0/e6b13f90a39e77d835cd2e938d6b861fe0c4.pdf"], "doi": []}, {"id": "456d472a6d7e0f0089101a8bd01e1c225e8594fe", "title": "Uji Model Fisik Water Treatment Bentuk Pipa dengan Media Aerasi Baling-Baling", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/456d/472a6d7e0f0089101a8bd01e1c225e8594fe.pdf"], "doi": []}, {"id": "8b2f7d73117042df1bc60dcb96317b525f878da3", "title": "Penentuan Oil Losses dan Faktor Koreksi Pada Jalur Pipa Pengiriman Minyak Mentah di Sumatera Selatan", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8b2f/7d73117042df1bc60dcb96317b525f878da3.pdf"], "doi": []}, {"id": "c61d0a64a61c03940f5f1cd4cbd9016e9e6f96d4", "title": "Perception of sleep-related disturbs by parents/guardians of patients with respiratory disease treated at the children's asthma prevention program (PIPA) - Uruguaiana, RS, Brazil", "year": "2015", "pdf": ["https://waojournal.biomedcentral.com/track/pdf/10.1186/1939-4551-8-S1-A10?site=waojournal.biomedcentral.com"], "doi": ["https://doi.org/10.1186/1939-4551-8-S1-A10"]}, {"id": "0c227bb7a5f65377d9489522e0e650e1a474a3ec", "title": "Optimalisasi Proses Manufaktur dalam Pembuatan Pipa Union dengan Menggunakan Metode Hungarian dan PERT/CPM", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0c22/7bb7a5f65377d9489522e0e650e1a474a3ec.pdf"], "doi": []}, {"id": "633c88d898a0f5ded78946e62be86440d8493c7c", "title": "Uji Kinerja Pipa Aliran Steam pada Tangki Pengukus Beras Pratanak (Parboiled Rice)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/633c/88d898a0f5ded78946e62be86440d8493c7c.pdf"], "doi": []}, {"id": "b2caa1ce775224c355b2a7978268d088178f7708", "title": "Teaching Study of Marine Diesel Engine Based on O-PIPAS Teaching Method", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b2ca/a1ce775224c355b2a7978268d088178f7708.pdf"], "doi": []}, {"id": "e672c6355c2ade9087ff8fafa61fe3d99ef5acd7", "title": "Pengaruh Post Weld Heat Treatment (Pwht) dengan Pemanas Induksi Terhadap Sifat Mekanik dan Struktur Mikro Sambungan Las Shield Metal Arc Welding (Smaw) pada Pipa API 5l X52", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e672/c6355c2ade9087ff8fafa61fe3d99ef5acd7.pdf"], "doi": []}, {"id": "f069a0b1fcea058bed4ef040dcbd5faa71eee605", "title": "Perancangan Flowmeter Ultrasonik untuk Mengukur Debit Air Pada Pipa", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f069/a0b1fcea058bed4ef040dcbd5faa71eee605.pdf"], "doi": []}, {"id": "b8554fddefd5f839a40deacbfe17a4244445128c", "title": "Analisis Tegangan Pipa saat Towing pada Proses Instalasi dengan Metode Surface Tow", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b855/4fddefd5f839a40deacbfe17a4244445128c.pdf"], "doi": []}, {"id": "cf0b7c31f93185259ff63c55e7b0489416d7069f", "title": "ANALISA TEGANGAN STATIK PIPA YANG TERHUBUNG DENGAN TANGKI MINYAK (OIL TANK) MENGGUNAKAN SOFTWARE CAESAR II", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cf0b/7c31f93185259ff63c55e7b0489416d7069f.pdf"], "doi": []}, {"id": "044726a1fe1b661ad323650cc6a80fbfd06ad563", "title": "PENENTUAN ALLOWABLE SPAN ANTAR PENYANGGA PIPA SLF BERDASARKAN TEGANGAN, DEFLEKSI, FREKUENSI ALAMI", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0447/26a1fe1b661ad323650cc6a80fbfd06ad563.pdf"], "doi": []}, {"id": "253618a3b36b83d575c33051c300a453a68001c2", "title": "KARAKTERISTIK PERPINDAHAN PANAS KONVEKSI ALAMIAH ALIRAN NANOFLUIDA AL2O3-AIR DI DALAM PIPA ANULUS VERTIKAL", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2536/18a3b36b83d575c33051c300a453a68001c2.pdf"], "doi": []}, {"id": "e0ebbb280d6e6b6c60144bd1fa9b375848c42e40", "title": "Analisa Karakteristik Katup Ekspansi Termostatik Dan Pipa Kapiler Pada Sistem Pendingin Water Chiller", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e0eb/bb280d6e6b6c60144bd1fa9b375848c42e40.pdf"], "doi": []}, {"id": "75e24dfa8e692b9a020f8afce8ec39d04e555a2d", "title": "OPTIMASI DIAMETER PIPA PESAT PADA MODEL PEMBANGKIT LISTRIK TENAGA MIKROHIDRO (PLTMH)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dac7/ea0bc46a3c5788d1da628a9075adecc2bff7.pdf"], "doi": []}, {"id": "39963a9e637d710b8280cf6626b789b7c63b24ac", "title": "Purwarupa Pembersih Pipa Otomatis (Automatic Tube Remover) pada Heat Exchanger Menggunakan Teknik Pengolahan Citra", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3996/3a9e637d710b8280cf6626b789b7c63b24ac.pdf"], "doi": []}, {"id": "7e36af00e6faedfef8b8622f9b08ca1aba9725cb", "title": "STUDI NUMERIK LIMIT TEKANAN PIPA PVC BERPENGUAT IJUK DENGAN BEBAN TEKANAN INTERNAL DAN EKSTERNAL", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7e36/af00e6faedfef8b8622f9b08ca1aba9725cb.pdf"], "doi": []}, {"id": "a934ccd86fccf5e2ce45b050372049a4178a9360", "title": "Deteksi Letak Kebocoran Pipa Berdasarkan Analisis Debit Air Menggunakan Teknologi Sensor Flowmeter Berbasis TCP/IP", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a934/ccd86fccf5e2ce45b050372049a4178a9360.pdf"], "doi": []}, {"id": "24a2503a585eaf428627301bbb7c59776a11b117", "title": "ANALISA FENOMENA KOROSI PELAT PIPA BAJA KARBON API 5L-X65 DALAM LARUTAN 250 ML ASAM ASETAT DAN 4750 ML AQUADES PADA KONDISI GAS CO2 DAN H2S JENUH PADA SUHU RUANG", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/24a2/503a585eaf428627301bbb7c59776a11b117.pdf"], "doi": []}, {"id": "91b10c863c360ff90010c3b1f9cae711f38c9b86", "title": "Riset Material ANALISA FENOMENA KOROSI PELAT PIPA BAJA KARBON API 5L-X65 DALAM LARUTAN 7900 ML AIR LAUT DAN 100 ML AMONIAK PADA KONDISI GAS CO2 DAN H2S JENUH PADA SUHU RUANG.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/91b1/0c863c360ff90010c3b1f9cae711f38c9b86.pdf"], "doi": []}, {"id": "2f84b20b1cb88ead9231a9d52a159315a02981f6", "title": "Penelitian untuk mengetahui karakteristik aliran dan perpindahan panas diluar pipa yang mengalir secara crossflow telah mengalami perkembangan yang sangat pesat. Salah satunya dengan melakukan modifikasi susunan pipa pada daerah surface condenser untuk mengurangi gaya dinamik akibat tumbukan aliran ", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f84/b20b1cb88ead9231a9d52a159315a02981f6.pdf"], "doi": []}, {"id": "1d61db5ce720f3e8489b0d45f5d079341fd10b23", "title": "RM-SORN: a reward-modulated self-organizing recurrent neural network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d61/db5ce720f3e8489b0d45f5d079341fd10b23.pdf"], "doi": []}, {"id": "6ed20cbb6d04e7c5d3349ecbbbd6268c2d74b2f6", "title": "Beam domain adaptive beamforming using generalized side lobe canceller with coherence factor for medical ultrasound imaging", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8091757"]}, {"id": "3f42a0594806a2f13f4c8da27ec4bd48dcb2c771", "title": "Trends in percutaneous coronary intervention from 2004 to 2013 according to the Portuguese National Registry of Interventional Cardiology.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26603054", "https://doi.org/10.1016/j.repce.2015.09.003"]}, {"id": "8de4fd5f3015be344448868189ba6c8ed3684ee9", "title": "[Irritable Bowel Syndrome; gut microbiota and probiotic therapy].", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.3305/nh.2015.31.sup1.8713"]}, {"id": "5874b2c5bc3dd365bf1167a644ac976ffe4cb501", "title": "Thrombus aspiration in patients with ST-elevation myocardial infarction: results of a national registry of interventional cardiology", "year": "2018", "pdf": ["https://bmccardiovascdisord.biomedcentral.com/track/pdf/10.1186/s12872-018-0794-4"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29699478", "https://doi.org/10.1186/s12872-018-0794-4"]}, {"id": "761b37cfe3ab4c3ad48d3c8078c9014f432711e3", "title": "Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29357047", "https://doi.org/10.1007/s11948-018-0020-x"]}, {"id": "1433fecc8bd6101a53fe5ab96fd38de1964a38f4", "title": "Omega 3 Fatty Acids Reduce Bone Resorption While Promoting Bone Generation in Rat Apical Periodontitis.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28359664", "https://doi.org/10.1016/j.joen.2017.01.006"]}, {"id": "7ff94c660316845cb332a03746f7e0d247de0641", "title": "A minimax dictionary expansion for sparse continuous reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081587"]}, {"id": "f44c10db09370a58b4c3ad84f0c9dd120bbd9708", "title": "Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f44c/10db09370a58b4c3ad84f0c9dd120bbd9708.pdf"], "doi": []}, {"id": "d63845d9e827e856c5f83edfbc6ff3c2dc45832d", "title": "Experimental Study for Improving the Repair of Magnesium\u2013Aluminium Hybrid Parts by Turning Processes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d638/45d9e827e856c5f83edfbc6ff3c2dc45832d.pdf"], "doi": []}, {"id": "0ffd4ce5937cc796c788b1927314faff256d3b01", "title": "CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0ffd/4ce5937cc796c788b1927314faff256d3b01.pdf"], "doi": []}, {"id": "50aa5b7b8c9f16f68f2d8d2c6309171080f94d44", "title": "Trends in primary angioplasty in Portugal from 2002 to 2013 according to the Portuguese National Registry of Interventional Cardiology.", "year": "2016", "pdf": ["http://repositorio.chlc.min-saude.pt/bitstream/10400.17/2554/1/RPC%202016%20395.pdf", "https://repositorio.hff.min-saude.pt/bitstream/10400.10/1773/1/RPC%202016%20395.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27396628", "https://doi.org/10.1016/j.repc.2016.01.005"]}, {"id": "0076d3619c355df661d7f11019de786d1f3be733", "title": "Capacitive Multielectrode Direct-Imaging Sensor for the Visualization of Two-Phase Flows", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7971928"]}, {"id": "f9012529c898b52df3753c7110c729c6ef14b1bf", "title": "Analisa Kegagalan Pada Hanger Tube Outlet Section Secondary Superheater Boiler Pipa Air Tipe IHI-FW SR 643000 Kg/Jam", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f901/2529c898b52df3753c7110c729c6ef14b1bf.pdf"], "doi": []}, {"id": "1d25e3a007d26edc48a302b8d5a4d1c9e0a63e9a", "title": "RANCANG BANGUN DAPUR KETEL UAP PIPA API MINI MODEL HORIZONTAL ALAT PENDUKUNG INDUSTRI TAHU DENGAN JENIS BAHANBAKAR BIOMASSA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1d25/e3a007d26edc48a302b8d5a4d1c9e0a63e9a.pdf"], "doi": []}, {"id": "f4bd5b586fc4a28344c3c3f568bf9c708e3d664f", "title": "Implementasi Algoritma Solin Dalam Menentukan Minimum Spanning Tree Pada Pembuatan Jalur Pipa Air Di Universitas Sumatera Utara", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4bd/5b586fc4a28344c3c3f568bf9c708e3d664f.pdf"], "doi": []}, {"id": "b90cc7d10ab3d519c374aad112b570592e471235", "title": "Analisis Kekuatan Tarik Dan Struktur Mikro Pada Sambungan T-Joint Dan Butt Joint Pipa Alumunium Dengan Metode Soldering", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b90c/c7d10ab3d519c374aad112b570592e471235.pdf"], "doi": []}, {"id": "9b05066bf6920b22c27027047ddc29201b557864", "title": "SIMULASI NUMERIK PENGARUH SUDUT KEMIRINGAN TERHADAP PENINGKATAN PERPINDAHAN PANAS PADA PENUKAR KALOR PIPA KONSENTRIK DENGAN LOUVERED STRIP INSERT", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b05/066bf6920b22c27027047ddc29201b557864.pdf"], "doi": []}, {"id": "b69191cd45ef577effd94f64c3ebd56cb03062dc", "title": "Analisis Kekuatan Tarik dan Struktur Mikro pada Sambungan T- Joint dan Butt Joint Pipa Aluminium dengan Metode TIG Argon Welding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b691/91cd45ef577effd94f64c3ebd56cb03062dc.pdf"], "doi": []}, {"id": "390517f44e993787f79114e964f6f01f325aec57", "title": "A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1162/neco_a_01057", "https://www.ncbi.nlm.nih.gov/pubmed/29342400", "https://www.wikidata.org/entity/Q47727523"]}, {"id": "e03b08ab948154d563216e1da787730026b7aba9", "title": "A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00756", "https://www.ncbi.nlm.nih.gov/pubmed/26079751", "https://www.wikidata.org/entity/Q40830687"]}, {"id": "da3e0ed850672cc115d6390b783c45760006956e", "title": "USULAN PERBAIKAN KUALITAS PRODUK PIPA BAJA LAS SPIRAL MENGGUNAKAN METODE SIX SIGMA BERDASARKAN DESIGN OF EXPERIMENT (DOE) DI PT. XYZ", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/da3e/0ed850672cc115d6390b783c45760006956e.pdf"], "doi": []}, {"id": "c893c34eaeb71a5156b55f6a75546e22e5d3c8cc", "title": "OPTIMASI DIAMETER JARINGAN PIPA DALAM SISTEM PENYEDIAAN AIR BERSIH (PDAM) DI KEC. BULULAWANG KAB. MALANG MENGGUNAKAN LINEAR PROGRAMMING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c893/c34eaeb71a5156b55f6a75546e22e5d3c8cc.pdf"], "doi": []}, {"id": "5b8402207c63e252ea6dc36c18282b5f0439a24c", "title": "Perbandingan Penggunaan Topikal Spray Benzidamin HCl 0,15% dan Gel Lidokain 2% pada Pipa Endotrakeal terhadap Kejadian Nyeri Tenggorok Pascaintubasi Endotrakeal", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b84/02207c63e252ea6dc36c18282b5f0439a24c.pdf"], "doi": []}, {"id": "c6011da80ccf3e8962af5e89cf68174741f2024d", "title": "Improving Spatial Resolution of Raman DTS Using Total Variation Deconvolution", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7431976"]}, {"id": "33d504a7d722f3364d013d79c706472e847bf9c6", "title": "Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.dsp.2015.09.009"]}, {"id": "f9cf08cc86c27f9cfd3741ef61d33a23405233dc", "title": "Thermal Imaging of Hydroelectric Generator Stator Using a DTS System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226789"]}, {"id": "0b43e67d9b719834d81f9a90006930192c0dd446", "title": "Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for Sparse Reconstructions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914650"]}, {"id": "487d1c8e692bea3e106776cc9a478823a334e8cf", "title": "\u201cTo be or not to be Retained \u2026 That\u2019s the Question!\u201d Retention, Self-esteem, Self-concept, Achievement Goals, and Grades", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/487d/1c8e692bea3e106776cc9a478823a334e8cf.pdf"], "doi": []}, {"id": "2a53973a7c9c406f80f2723ea326621c3ffdbaf8", "title": "Impact of Routine Fractional Flow Reserve Evaluation During Coronary Angiography on Management Strategy and Clinical Outcome: One-Year Results of the POST-IT.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c2d7/f369b0490a7e1dabd69aea510c1c3ccd4ddb.pdf"], "doi": []}, {"id": "59ffed5fe8ec66d88ec9c20c4aae8b273dddde35", "title": "Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00737", "https://www.ncbi.nlm.nih.gov/pubmed/25826022", "https://www.wikidata.org/entity/Q50591832"]}, {"id": "a9a2dba14036f3c0a83348a4e510a8b3bdf9ed1a", "title": "EFISIENSI NATRIUM SILIKAT (Na2SiO3) HASIL EKSTRAKSI DARI LUMPUR LAPINDO SEBAGAI INHIBITOR KOROSI PADA PIPA DUCTILE CAST IRON DI LINGKUNGAN AIR LAUT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9a2/dba14036f3c0a83348a4e510a8b3bdf9ed1a.pdf"], "doi": []}, {"id": "a3a793acf9011ed725e5d29b04a33ed726555284", "title": "Penerapan Persamaan Navier-Stokes Untuk Kasus Aliran Fluida Laminer Pada Pipa Tidak Horizontal Application of Navier-Stokes Equations To Laminar Fluid Flow Case In Unhorizontal Pipe", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a3a7/93acf9011ed725e5d29b04a33ed726555284.pdf"], "doi": []}, {"id": "c0f7a3560ddc0971a07fabc24eef2923aa0c2c4f", "title": "Bach , or Busoni ?-How insightful fingering options may enlighten the original spirit of the Chaconne in D minor by Lu\u00eds Pipa", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c0f7/a3560ddc0971a07fabc24eef2923aa0c2c4f.pdf"], "doi": []}, {"id": "90935ceacbaa6c28851053cfa99530badfc55b5b", "title": "Pengaruh Katup Ekspansi Termostatik Dan Pipa Kapiler Terhadap Temperatur Dan Tekanan Pada Mesin Pendingin Siklus Kompresi Uap Menggunakan Refrigeran HCR-134A", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9093/5ceacbaa6c28851053cfa99530badfc55b5b.pdf"], "doi": []}, {"id": "e3706a34aed7814c0a4d2a8ff1386da366e8f5f4", "title": "ANALISIS KERUSAKAN PIPA BAFFLE PADA SISTEM HEAT EXCHANGER SUATU PROSES TRANSFER PANAS[Failure Analysis of Baffle Tube on Heat Exchanger System in Heat Transfer Process]", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e370/6a34aed7814c0a4d2a8ff1386da366e8f5f4.pdf"], "doi": []}, {"id": "3fbab1d324c3f2775357ee57aea23544734c67c4", "title": "Creencias y actitudes de adolescentes espan\u0303oles hacia el consumo de tabaco en pipa de agua Beliefs and attitudes of spanish adolescents regarding waterpipe smoking", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4606/e8d76a63d4b4e1bdfe0f4236d406c96e38f6.pdf"], "doi": []}, {"id": "2c9e8b3774b17114b749b92cb805c8b67f1ce932", "title": "The Program for the Prevention of Childhood Asthma: a specialized care program for children with wheezing or asthma in Brazil.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2c9e/8b3774b17114b749b92cb805c8b67f1ce932.pdf"], "doi": []}, {"id": "b9b7688ab8fe5654913afffc64511d1911c2cf08", "title": "Precipitant induced porosity augmentation of polystyrene preserves the chondrogenicity of human chondrocytes.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27490738", "https://doi.org/10.1002/jbm.a.35853"]}, {"id": "b63d06e096ea32865ec08f674f8d6c52ed51b9d8", "title": "PENGARUH PEMANASAN BAHAN BAKAR MELALUI PIPA TEMBAGA BERSIRIP RADIAL DI DALAM UPPER TANK RADIATOR DAN PENAMBAHAN ETANOL PADA BAHAN BAKAR TERHADAP EMISI GAS BUANG CO DAN HC MOBIL SUZUKI APV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b63d/06e096ea32865ec08f674f8d6c52ed51b9d8.pdf"], "doi": []}, {"id": "2b15d8074f3d1690d127684b1dd03c517f7ee47a", "title": "PENGARUH PEMANASAN BAHAN BAKAR BENSIN MELALUI PIPA KAPILER BERSIRIP TRANSVERSAL DI DALAM UPPER TANK RADIATOR DAN PUTARAN MESIN TERHADAP EMISI GAS BUANG CO DAN HC PADA MOBIL TOYOTA CORONA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2b15/d8074f3d1690d127684b1dd03c517f7ee47a.pdf"], "doi": []}, {"id": "069853c8d0cc1b35c2e36bdbb897d85b86f163a6", "title": "Putative invasive pulmonary aspergillosis in critically ill patients with chronic obstructive pulmonary disease: a matched cohort study.", "year": "2015", "pdf": ["https://ccforum.biomedcentral.com/track/pdf/10.1186/s13054-015-1140-1?site=ccforum.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26631029", "https://doi.org/10.1186/s13054-015-1140-1"]}, {"id": "a6910ac5716543e4206f8a71b5270d4ddf64145f", "title": "banyak digunakan untuk berbagai komponen permesinan: impeller pompa, bantalan, pipa. perabotan rumah tangga. Berbagai upaya telah dilakukan untuk mengurangi dampak korosi terhadap baja tersebut dan umumnya masyarakat cendrung memilih cat sebagai pelindung. Melapis baja dan kuningan dengan logam non ", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a691/0ac5716543e4206f8a71b5270d4ddf64145f.pdf"], "doi": []}, {"id": "8aca39c5dcef4a39f0a0abf0e49a0863abbd4deb", "title": "The diversity and evolution of anuran skin peptides", "year": "2015", "pdf": ["https://uol.de/fileadmin/user_upload/biologie/ag/systematik/download/Publications/Papers/peptideDiversity.pdf", "https://www.uni-oldenburg.de/fileadmin/user_upload/biologie/ag/systematik/download/Publications/Papers/peptideDiversity.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978114003295?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2014.11.003", "https://www.ncbi.nlm.nih.gov/pubmed/25464160"]}, {"id": "11c5b33a4c9ea4b6027ab5661d5bf1f675708dc4", "title": "State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00828", "https://www.ncbi.nlm.nih.gov/pubmed/26942749", "https://www.wikidata.org/entity/Q41529942"]}, {"id": "e663920ef9fa493a51b7481dc011777ce15acc14", "title": "Engaging stakeholders: lessons from the use of participatory tools for improving maternal and child care health services", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0271-z?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297336", "https://doi.org/10.1186/s12961-017-0271-z"]}, {"id": "04faa337b60e88515cc17de27f34af2c32b6f247", "title": "Endoscopic-Assisted Posterior Intradural Petrous Apicectomy in Petroclival Meningiomas: A Clinical Series and Assessment of Perioperative Morbidity.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26210709", "https://doi.org/10.1016/j.wneu.2015.07.033"]}, {"id": "c7c97ed2216178da69515fa1f27d151bb89aef25", "title": "Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1126/scitranslmed.aaf6219", "https://www.ncbi.nlm.nih.gov/pubmed/27384348"]}, {"id": "762cb4cb85cb008a0a761c9426b88d80df2674c0", "title": "Multiple successional pathways in human-modified tropical landscapes: new insights from forest succession, forest fragmentation and landscape ecology research.", "year": "2017", "pdf": ["http://www.iies.unam.mx/laboratorios/ecologia-manejo-bosques-tropicales/wp-content/uploads/2016/09/Arroyo-Rodriguez_et_al_Biological_Reviews.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26537849", "https://doi.org/10.1111/brv.12231"]}, {"id": "58893160f547a60f99f326c873ce3b445d5101f7", "title": "Performance variation in motor imagery brain\u2013computer interface: A brief review", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015000400?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.jneumeth.2015.01.033", "https://www.ncbi.nlm.nih.gov/pubmed/25668430"]}, {"id": "bdd6d98f9ff90830d89db8e2f08f5076b118d31d", "title": "Making waves: The science and politics of ocean protection", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1126/science.aad5443", "https://www.ncbi.nlm.nih.gov/pubmed/26472764"]}, {"id": "91ccb1ad59103d931cd6d1ec49ddf6008255af38", "title": "What does gamma coherence tell us about inter-regional neural communication?", "year": "2015", "pdf": ["http://buzsakilab.com/content/PDFs/BuzsakiSchomburg2015.pdf"], "doi": ["https://doi.org/10.1038/nn.3952", "https://www.ncbi.nlm.nih.gov/pubmed/25706474"]}, {"id": "ad432217ceb8bb00f60e1657839f724585f3b49a", "title": "Communication through coherence with inter-areal delays", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438814002165", "https://doi.org/10.1016/j.conb.2014.11.001", "https://www.ncbi.nlm.nih.gov/pubmed/25460074"]}, {"id": "8792f75252a22022016e8bcd3e84ec6de8c7480a", "title": "The temporal paradox of Hebbian learning and homeostatic plasticity", "year": "2017", "pdf": ["http://fzenke.net/wp-content/uploads/preprints/2017-temporal_paradox-preprint_v3.pdf", "http://icwww.epfl.ch/~gerstner/PUBLICATIONS/Zenke17.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438817300910?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.conb.2017.03.015", "https://www.ncbi.nlm.nih.gov/pubmed/28431369"]}, {"id": "0e4e4360a361df23a890bca6f3d9b100e7722a49", "title": "Plasmonic Metasurface for Directional and Frequency-Selective Thermal Emission", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0e4e/4360a361df23a890bca6f3d9b100e7722a49.pdf"], "doi": []}, {"id": "7b738415fa91a6c640bfc2b4d23ad458ceb19f48", "title": "A peer-to-peer approach to energy production", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7b73/8415fa91a6c640bfc2b4d23ad458ceb19f48.pdf"], "doi": []}, {"id": "852320e33132442e1c335b13b88be0f7afa3c080", "title": "The social dilemma of autonomous vehicles", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.03346.pdf"], "doi": []}, {"id": "e4e5581780967fddfefbff35794a206e239f6e22", "title": "Peptidomic analysis of skin secretions of the Mexican burrowing toad Rhinophrynus dorsalis (Rhinophrynidae): Insight into the origin of host-defense peptides within the Pipidae and characterization of a proline-arginine-rich peptide", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978117302954?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2017.09.012", "https://www.ncbi.nlm.nih.gov/pubmed/28951157"]}, {"id": "cb55a62a809ed7343da15b1ac001e45d14b88abe", "title": "Stage-dependent behavioural changes but early castration induced by the acanthocephalan parasite Polymorphus minutus in its Gammarus pulex intermediate host.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28831959", "https://doi.org/10.1017/S0031182017001457"]}, {"id": "0997f95691073dfc5bb9d69d225d7541791792f1", "title": "Circulating RNAs as new biomarkers for detecting pancreatic cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26229396", "https://doi.org/10.3748/wjg.v21.i28.8527"]}, {"id": "44f2fa3b2b6dc991b8d814c05d771d6dc7359c87", "title": "A microRNA signature in circulating exosomes is superior to exosomal glypican-1 levels for diagnosing pancreatic cancer", "year": "2017", "pdf": ["https://scholarworks.iupui.edu/bitstream/handle/1805/13821/nihms854566.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28232049", "https://doi.org/10.1016/j.canlet.2017.02.019"]}, {"id": "24a27f15b9b429a9bcaed8f6072bf5c80e8ff8c1", "title": "Reversible data hiding: Advances in the past two decades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479451"]}, {"id": "ef148b38ee53fdc2517826bef8302b512f570ef4", "title": "Micro-connectomics: probing the organization of neuronal networks at the cellular scale", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/nrn.2016.182", "https://www.ncbi.nlm.nih.gov/pubmed/28148956"]}, {"id": "4488fa33cd506a5e13736f7db4ddfe67f76c268a", "title": "Droplet-based microfluidics in drug discovery, transcriptomics and high-throughput molecular genetics.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9227/bbd221c0cffd5806800815ef1edb97d30d45.pdf"], "doi": []}, {"id": "d4fa14c6f29f191385292e8205fcc1bf95933a57", "title": "Large T and small T antigens of Merkel cell polyomavirus.", "year": "2015", "pdf": ["http://tumorvirology.pitt.edu/wp-content/uploads/2015/02/nihms683808.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25681708", "https://doi.org/10.1016/j.coviro.2015.01.009"]}, {"id": "7d482684699bb5ea45cfbfa5d086c939dc675e3e", "title": "Glutamine Synthetase activity fuels nucleotide biosynthesis and supports growth of glutamine-restricted glioblastoma", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~ruppin/ncb_glutamine.pdf", "https://sure.sunderland.ac.uk/6005/1/Shafiq%20Ahmed%20NCB%20manuscript.pdf"], "doi": ["https://doi.org/10.1038/ncb3272", "https://www.ncbi.nlm.nih.gov/pubmed/26595383"]}, {"id": "607b3b5b0022ac23097d608cd14ef1a5bf23ca12", "title": "Trends in Primary Proximal Interphalangeal Joint System and Revisions for Osteoarthritis of the Hand in the Medicare Database.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30895813", "https://doi.org/10.1177/1558944719837009"]}, {"id": "002d2fd1afc5a2cb0c298cfbb0dd47e3fd3ba5d3", "title": "Intradermal injection of Pythium insidiosum protein antigens for improved diagnosis and treatment of pythiosis in an experimental model.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30260397", "https://doi.org/10.1093/mmy%2Fmyy078"]}, {"id": "5f69a29144e6f2fa57bfaa373775e19aa0076a4c", "title": "Proximal Interruption of the Pulmonary Artery.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30376479", "https://doi.org/10.1097/rti.0000000000000373"]}, {"id": "7471eccb264ebca7ebfd8845aa84a3bad9c47d0f", "title": "Environmental risk assessment of cobalt and manganese from industrial sources in an estuarine system.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28861663", "https://doi.org/10.1007/s10653-017-0020-9"]}, {"id": "4cad181fc771bf493fc246d84d79f6328960f968", "title": "\"We Had a Beautiful Home . . . But I Think I'm Happier Here\": A Good or Better Life in Residential Aged Care.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26035883", "https://doi.org/10.1093/geront%2Fgnu169"]}, {"id": "c0b72663afbac482233684f9991cc411824d26d6", "title": "Family Reflections on Our Amazing Journey with Dad-Professor Rhoton.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27318312", "https://doi.org/10.1016/j.wneu.2016.06.038"]}, {"id": "7029e98eff8173148c26200915986baa16192149", "title": "Parasitoid wasp usurps its host to guard its pupa against hyperparasitoids and induces rapid behavioral changes in the parasitized host", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7029/e98eff8173148c26200915986baa16192149.pdf"], "doi": []}, {"id": "e0e502d95efa97533c89c2c0621fd7269bb3d495", "title": "A Family of Salmonella Type III Secretion Effector Proteins Selectively Targets the NF-\u03baB Signaling Pathway to Preserve Host Homeostasis.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e0e5/02d95efa97533c89c2c0621fd7269bb3d495.pdf"], "doi": []}, {"id": "41b1f2b46ef1f24f2ad21c7f099c8dcc0aba040d", "title": "Shipboard design and fabrication of custom 3D-printed soft robotic manipulators for the investigation of delicate deep-sea organisms", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0651/ebf243de458208ea334ee4af6014180aa528.pdf"], "doi": []}, {"id": "a73fdd6805609e4c6f99dd1892b46d044e5659bf", "title": "Some Info on Info Theory", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f525/0c6f836ebe7ce86e6ad38c5f885abe37b0a1.pdf"], "doi": []}, {"id": "e03f84ed63655b3d8d5b9395038bc5f90431989c", "title": "Unjuk Kerja Kolektor Surya Pelat Datar Aliran Paralel", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e03f/84ed63655b3d8d5b9395038bc5f90431989c.pdf"], "doi": []}, {"id": "a8e14753b6289dfc246ec0adf1bdb04fbeae0a38", "title": "Computations of electrical parameters of untransposed overhead lines", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161170"]}, {"id": "b523302a2c78353e67f0069193f68690079f3521", "title": "Assessment of usability of armoured single-core low voltage power cables", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161168"]}, {"id": "168f4a5e56765b8db188b3baa4ec268d4ba7deb6", "title": "Joint subsample time delay and echo template estimations for ultrasound signals", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081658"]}, {"id": "7fcce73bce563fc5f43dc133a87455bfedd6e64d", "title": "Displasia del desarrollo de la cadera en ni\u00f1os con trastorno psicomotor. \u00bfFactor de riesgo para un mal resultado?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fcc/e73bce563fc5f43dc133a87455bfedd6e64d.pdf"], "doi": []}, {"id": "c6cda77d2e4366567009ec33a685966095308417", "title": "Super-resolution algorithm applied in thermal imaging of hydroelectric generators stator using hybrid sensing with DTS and FBG", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7369058"]}, {"id": "dcb50f9b6dc8b2a76acc36d6bcf97b4f90a76079", "title": "A blind deconvolution approach to discontinuity location and characterization in ultrasonic nondestructive testing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081660"]}, {"id": "87db784cb12e3c6428f1887d9b1c2ea3a7ca8310", "title": "Readmissions due to acute biliary edematous pancreatitis in patients without cholecystectomy.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27444192", "https://doi.org/10.17235/reed.2016.4067%2F2015"]}, {"id": "5f0e25e1b0bc9ba0b6c6da0e8287121d57679c07", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28599117", "https://doi.org/10.1162/NECO_a_00987"]}, {"id": "faa0aa8f099de54a0a998f7d8dbad1ed54ca5a9d", "title": "Omega-3 Fatty Acids Reduce Inflammation in Rat Apical Periodontitis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29397217", "https://doi.org/10.1016/j.joen.2017.12.008"]}, {"id": "27962824aa6b0fdcb7c804504bdd266990013e94", "title": "A conservative strategy in non-ST-segment elevation myocardial infarction - constraints and prognosis: The situation in Portugal.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25935075", "https://doi.org/10.1016/j.repc.2014.10.006"]}, {"id": "914c1666e0ded7e89c65f947fbe8e32faab99c4c", "title": "Rats with Apical Periodontitis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/914c/1666e0ded7e89c65f947fbe8e32faab99c4c.pdf"], "doi": []}, {"id": "8760f6723d251a503fc4f8246b18e2fe0d92fa00", "title": "Diagnostics of medium-voltage motors", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161156"]}, {"id": "1d619eb5872e556587f9e55284aee8a41078a57e", "title": "Adaptive time corrected gain for ultrasound through time-varying Wiener deconvolution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081657"]}, {"id": "fc6d1b59fa61ac68d69f1a89ef7a7cade9cfc60f", "title": "Assessment and Comparison of the Four Most Extensively Validated Prognostic Scales for Intracerebral Hemorrhage: Systematic Review with Meta-analysis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30426449", "https://doi.org/10.1007/s12028-018-0633-6"]}, {"id": "91539e6d466721c46a7b0a2477d0ae68808943c3", "title": "Omega 3 Fatty Acids Reduce the Triglyceride Levels in Rats with Apical Periodontitis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29898064", "https://doi.org/10.1590/0103-6440201801702"]}, {"id": "5a6dd505b6ddffd1701b6257f9d0aeabfe24fd0a", "title": "Original Intracerebral Hemorrhage Score for the Prediction of Short-Term Mortality in Cerebral Hemorrhage: Systematic Review and Meta-Analysis.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30889025", "https://doi.org/10.1097/ccm.0000000000003744"]}, {"id": "a8bce5a03676f5603ded1de99a2f0486b42d9a2c", "title": "[Irritable Bowel Syndrome; gut microbiota and probiotic therapy].", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25659060", "https://doi.org/10.3305/nh.2015.31.sup1.8713"]}, {"id": "202face365f4cf0cfffff5ced715574821816f1d", "title": "Recognizing and Curating Photo Albums via Event-Specific Image Importance", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05911.pdf"], "doi": []}, {"id": "2f03276d7e4e8915ae1b247ce0d5297adbcb9297", "title": "Event recognition in photo albums using probabilistic graphical model and feature relevance", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900063"]}, {"id": "3187ff8a0ef4d0cfc68f368610b1842ef1f7b671", "title": "Hierarchically-Attentive RNN for Album Summarization and Storytelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02977.pdf"], "doi": []}, {"id": "0c94a24c564ee36b3ae311060dc02e79cfc71be7", "title": "Multi-Query Augmentation-Based Web Landmark Photo Retrieval", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1093/comjnl%2Fbxv033", "https://doi.org/10.1093/comjnl/bxv033"]}, {"id": "f393440a6918ff26747649d6738dfb7b86215f45", "title": "Context-aware clustering and assessment of photo collections", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092916"]}, {"id": "4c88852867ee99f84305ba2568d7f9e8f5e9564b", "title": "Using Photo Similarity and Weighted Graphs for the Temporal Synchronization of Event-Centered Multi-User Photo Collections", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2815246"]}, {"id": "c86716de32aaa0c9bce6f711b67c76c9fcecbb85", "title": "Aesthetic Critiques Generation for Photos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237642"]}, {"id": "677fc4abdae996e0f2fab8f7d94d7bb4f2aa8b69", "title": "VISION: a video and image dataset for source identification", "year": "2017", "pdf": ["https://jis-eurasipjournals.springeropen.com/track/pdf/10.1186/s13635-017-0067-2?site=jis-eurasipjournals.springeropen.com"], "doi": ["https://doi.org/10.1186/s13635-017-0067-2"]}, {"id": "f3ad63fb5b5fdb71d7a3e6b7e5910eb423e2d5be", "title": "Time and space for segmenting personal photo sets", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3341-2", "https://www.wikidata.org/entity/Q56529128"]}, {"id": "390b24743e97474b3e086aa9516930a6eaa73e87", "title": "Event Recognition in Photo Streams", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/390b/24743e97474b3e086aa9516930a6eaa73e87.pdf"], "doi": []}, {"id": "25ac0583e2b412820ca3fbf71ad0bbde1d9e0465", "title": "Visualizing Big Hierarchical Datasets on Concentric Rings", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7463804"]}, {"id": "0e699051124f54c9f78e8e46b5fd25af2578388c", "title": "More Photos From Me to Thee: Factors Influencing the Intention to Continue Sharing Personal Photos on an Online Social Networking (OSN) Site among Young Adults in the Netherlands", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e69/9051124f54c9f78e8e46b5fd25af2578388c.pdf"], "doi": []}, {"id": "9471ca17573e3c3aed347f17b3cf9d9d1416ce3a", "title": "Visual Landmark Recognition from Internet Photo Collections: A Large-Scale Evaluation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5400.pdf"], "doi": []}, {"id": "c0a316190b73b11eb75ed09456b2548f394fef37", "title": "Real-time Burst Photo Selection Using a Light-Head Adversarial Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07212.pdf"], "doi": []}, {"id": "2735ef3ef8f57bca14eae30f61a62e5fee4b5abe", "title": "Fast Simultaneous People Detection and Re-identification in a Single Shot Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639489"]}, {"id": "644b0f9d96c0f4bd69e282b90aa317ae09ef191e", "title": "Synthesized computational aesthetic evaluation of photos", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.12.106"]}, {"id": "169b25b32adb8de9e7d0a6be623bf22acb6169d2", "title": "Portrait of a Privacy Invasion Detecting Relationships Through Large-scale Photo Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/169b/25b32adb8de9e7d0a6be623bf22acb6169d2.pdf"], "doi": []}, {"id": "ec8eed4859c9849214c5d20a18739ca3d680a88d", "title": "Event-centric management of personal photos", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ec8e/ed4859c9849214c5d20a18739ca3d680a88d.pdf"], "doi": []}, {"id": "ada5d1c200138a37386b462c6b4672df2ed7a6e5", "title": "Sub-event recognition and summarization for structured scenario photos", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3346-x"]}, {"id": "b2181cd970175f29402ac11380c88830afe27585", "title": "MMED: A Multi-domain and Multi-modality Event Dataset", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02354.pdf"], "doi": []}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "9db355c2c9e9561cfcef9f8e1820bfef63cb80e4", "title": "Show and Tell : A Neural Image Caption Generator", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9db3/55c2c9e9561cfcef9f8e1820bfef63cb80e4.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "377e54d4f662659b1f4333cd9bdb5fdb62b55429", "title": "An Efficient Face Photo Clustering From User Feedback through Query Generation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/377e/54d4f662659b1f4333cd9bdb5fdb62b55429.pdf"], "doi": []}, {"id": "146f6f6ed688c905fb6e346ad02332efd5464616", "title": "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.03044.pdf"], "doi": []}, {"id": "7265ea518dcb875780aabf2f2249b887715dc331", "title": "Cognition-Aware Summarization of Photos Representing Events", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7265/ea518dcb875780aabf2f2249b887715dc331.pdf"], "doi": []}, {"id": "de37b18a1f5640115de67179c02333df5a81270e", "title": "Transgender Identity Development in a Rural Area: A Multiple Case Study of Trans-Identified People", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/de37/b18a1f5640115de67179c02333df5a81270e.pdf"], "doi": []}, {"id": "1cd3de0537df6aac957c7b7b5507fc3796788814", "title": "Implementation of Lossless Compression Method for JPEG Coded Photo Collection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1cd3/de0537df6aac957c7b7b5507fc3796788814.pdf"], "doi": []}, {"id": "dde9fb2d6f8abc184329615c4ac0a1c43f9ca600", "title": "Accumulative image categorization: a personal photo classification method for progressive collection", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6152-9"]}, {"id": "9d0e011f8da2abdf2907c76133b138e6d945d7b4", "title": "Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d0e/011f8da2abdf2907c76133b138e6d945d7b4.pdf"], "doi": []}, {"id": "cc801f9894e9d87716662330e4c953f33560122d", "title": "A knowledge based architecture for the virtual restoration of ancient photos", "year": "2018", "pdf": ["https://iris.unipa.it/retrieve/handle/10447/242354/453346/1-s2.0-S0031320317303837-main.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2017.09.031"]}, {"id": "4fa0d9c4c3d17458085ee255b7a4b7c325d59e32", "title": "DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fa0/d9c4c3d17458085ee255b7a4b7c325d59e32.pdf"], "doi": []}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "e3e6fadf6be1471eac47079d5a8596fa39ba5516", "title": "Social Information Filtering : Algorithms for Automating \u201c Word of Mouth , \u201d", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3e6/fadf6be1471eac47079d5a8596fa39ba5516.pdf"], "doi": []}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "c528434a54ef53e44085921698bffc5f58f81637", "title": "Cross-heterogeneous-database age estimation through correlation representation learning", "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2017/TQNC-2017.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2017.01.064"]}, {"id": "15febdd39e91718cba8a67bee2fce42ffae59668", "title": "A Hierarchical Approach for Generating Descriptive Image Paragraphs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099839"]}, {"id": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.pdf"], "doi": []}, {"id": "923ede53b0842619831e94c7150e0fc4104e62f7", "title": "Masked correlation filters for partially occluded face recognition", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001293.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471885", "http://doi.org/10.1109/ICASSP.2016.7471885"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}, {"id": "24f95cc73758d870706fe8ab590d477b9dd2b791", "title": "Unsupervised Clickstream Clustering for User Behavior Analysis", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858107"]}, {"id": "1fcab2dde46dfedb98482043122db541c5c6daff", "title": "Scalable Mobile Image Retrieval by Exploring Contextual Saliency", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7056555"]}, {"id": "590628a9584e500f3e7f349ba7e2046c8c273fcf", "title": "Generating Natural Questions About an Image", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06059.pdf"], "doi": []}, {"id": "37d579112296384603c61150d8bf78fc588424f1", "title": "Learning to Select and Order Vacation Photographs", "year": "2015", "pdf": ["http://cs.brown.edu/people/ls/Publications/wacv2015sadeghi.pdf", "http://grail.cs.washington.edu/wp-content/uploads/2015/09/fsadeghi2015lts.pdf", "http://www.disneyresearch.com/wp-content/uploads/Learning-to-Select-and-Order-Vacation-Photographs-Paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150105190555/Learning-to-Select-and-Order-Vacation-Photographs-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045928", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.74", "http://doi.org/10.1109/WACV.2015.74"]}, {"id": "09b1ce14bb41b10a3e80a721f9e6b8389d0390fd", "title": "Steganography in Modern Smartphones and Mitigation Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6884798"]}, {"id": "ed416bf3e3a5d8e1259415eafa9ae20caf25c870", "title": "Local-global ranking for facial expression intensity estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273587", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273587", "http://doi.org/10.1109/ACII.2017.8273587"]}, {"id": "135011a60231e6794378241c9fb825feb6b58e0b", "title": "Fungal diversity notes 491\u2013602: taxonomic and phylogenetic contributions to fungal taxa", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s13225-017-0378-0"]}, {"id": "09d8c49197a885299bd18fdce9764ed66187b83d", "title": "How to predict the global instantaneous feeling induced by a facial picture", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2015.04.002", "https://hal.archives-ouvertes.fr/hal-01198718/document"]}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "9ec3a2af6cbee57cd337b5f46a2792aace196e78", "title": "Emotional and Social Signals: A Neglected Frontier in Multimedia Computing?", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1109/MMUL.2015.37", "http://doi.ieeecomputersociety.org/10.1109/MMUL.2015.37"]}, {"id": "6def75ab8add5a87ac91503817655abbbc34eef5", "title": "A stochastic approach to group recommendations in social media systems", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.is.2014.10.002"]}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"], "doi": []}, {"id": "6dd94ad90672c472f9c64d2e5fdebe1c403859c5", "title": "Choosing face: The curse of self in profile image selection", "year": "2017", "pdf": ["https://cognitiveresearchjournal.springeropen.com/track/pdf/10.1186/s41235-017-0058-3?site=cognitiveresearchjournal.springeropen.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28470036", "https://doi.org/10.1186/s41235-017-0058-3"]}, {"id": "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "title": "Can we still avoid automatic face detection?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04504.pdf"], "doi": []}, {"id": "249d2e15cfcd531e3f91d561877d5b23d31ec2e8", "title": "Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01214.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "408ae8102635987204ba5fa53e1e6fd2146cde22", "title": "Personalized Image Aesthetics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237338"]}, {"id": "f66858a6b54afadb32c1c1dd9bd8a886d3b45a07", "title": "Automatic Control / Block Over User Comments on Online Social Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f668/58a6b54afadb32c1c1dd9bd8a886d3b45a07.pdf"], "doi": []}, {"id": "771decdd4fd805963bfbde6c96c337088c7cd186", "title": "Fingerprinting Mobile Devices Using Personalized Configurations", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/771d/ecdd4fd805963bfbde6c96c337088c7cd186.pdf"], "doi": []}, {"id": "499d4cd6fd3dd706d8e0c0daa38e1b9b630e3ace", "title": "Enhancing Video Surveillance with Usage Control and Privacy-Preserving Solutions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/342b/c803f000b6b1250e9790150e6c1f62d25095.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "6e35585eb37ee8a1de60a10a56a3183af480e214", "title": "The YLI-MED Corpus: Characteristics, Procedures, and Plans", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.04250.pdf"], "doi": []}, {"id": "eec97972c150c0d95a7a7d00f2ab83908e8f5401", "title": "Decentralizing the Semantic Web through Incentivized Collaboration", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eec9/7972c150c0d95a7a7d00f2ab83908e8f5401.pdf"], "doi": []}, {"id": "54311551def9ba4a9fc9c57e6b3269329f3d76e3", "title": "Event analysis in social multimedia: a survey", "year": "2015", "pdf": ["http://www.eurecom.fr/en/publication/4594/download/mm-publi-4594.pdf"], "doi": ["https://doi.org/10.1007/s11704-015-4583-2"]}, {"id": "cb131e32ddd3965acb619e4a3b7f7b5cc1100074", "title": "Arabic sentiment polarity identification using a hybrid approach", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7103218"]}, {"id": "e9e5e77ce1b08c3d80501e6b99d54b7468c1c17e", "title": "Exploring music rankings with interactive visualization", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019690"]}, {"id": "0c490685724ecad42a630b0d742f8f1f79c67326", "title": "Focal Visual-Text Attention for Memex Question Answering.", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0c49/0685724ecad42a630b0d742f8f1f79c67326.pdf"], "doi": []}, {"id": "154c22ca5eef149aedc8a986fa684ca1fd14e7dc", "title": "Movie Description", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03705.pdf"], "doi": []}, {"id": "641ed032fc5b69eb14cdd462410ebe05f9dcbfc7", "title": "Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/641e/d032fc5b69eb14cdd462410ebe05f9dcbfc7.pdf"], "doi": []}, {"id": "68db84a017ec3290c3bdfcc16823b376be08b9ea", "title": "A Collision of Beliefs: Investigating Linguistic Features for Religious Conflicts Identification on Tumblr", "year": "2017", "pdf": ["http://www.robo-paathshaala.in/ashish/ICDCIT-2017-PRESENTATION.pdf", "http://www.robo-paathshaala.in/ashish/ICDCIT-2017.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-50472-8_4"]}]} \ No newline at end of file +{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "citations": [{"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "ef999ab2f7b37f46445a3457bf6c0f5fd7b5689d", "title": "Improving face verification in photo albums by combining facial recognition and metadata with cross-matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/001e/ad9b99ee57af44e1831be1670c40711d348d.pdf"], "doi": []}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "0626908dd710b91aece1a81f4ca0635f23fc47f3", "title": "Rethinking the Inception Architecture for Computer Vision", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780677"]}, {"id": "a1543975098f8ec14f4402f761eefb473100beee", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "39a81acd40a499ac8b70eaa8ed7fd4f4f41be0e0", "title": "Study protocol for a comparative effectiveness trial of two models of perinatal integrated psychosocial assessment: the PIPA project", "year": "2017", "pdf": ["https://bmcpregnancychildbirth.biomedcentral.com/track/pdf/10.1186/s12884-017-1354-0"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28728552", "https://doi.org/10.1186/s12884-017-1354-0"]}, {"id": "286f8a397693499c5712608d1cbfa19e30fa6909", "title": "An Assessment of Iterative Reconstruction Methods for Sparse Ultrasound Imaging", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/286f/8a397693499c5712608d1cbfa19e30fa6909.pdf"], "doi": []}, {"id": "fcc9ba09a4ea62d2dfee8ac9d1465ea45fbb913d", "title": "A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9361/0b8ea22f030c097202dbfc83a83480c08040.pdf"], "doi": []}, {"id": "3aa51d4f6dae14e2dbf3966eb86f071145c03f0e", "title": "Improving centroiding by super-resolution reconstruction of sodium layer density in Shack-Hartmann wavefront sensors.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27168279", "https://doi.org/10.1364/AO.55.003701"]}, {"id": "b52a20e47d9656b4e32bd0b1f6522f5a9ea314d3", "title": "Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10064.pdf"], "doi": []}, {"id": "ffeab97095a8074e1fc05e9d84f4b63a736301be", "title": "Image Reconstruction for Electrical Capacitance Tomography Through Redundant Sensitivity Matrix", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956159"]}, {"id": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.pdf"], "doi": []}, {"id": "4a3fd686ce675659f238c46c629b055cd58651a0", "title": "Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099834"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "4b1bef7841c442e85e4542fa7b6b05003f05b762", "title": "High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4b1b/ef7841c442e85e4542fa7b6b05003f05b762.pdf"], "doi": []}, {"id": "8b697734036148e24fd151f825b6686d373edb4a", "title": "Fast and Accurate Decision Trees for Natural Language Processing Tasks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8b69/7734036148e24fd151f825b6686d373edb4a.pdf"], "doi": []}, {"id": "aabd0fe03f352f28771c7701d9ca40cbeca0c613", "title": "Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis", "year": "2018", "pdf": ["https://bmcmedresmethodol.biomedcentral.com/track/pdf/10.1186/s12874-018-0613-8"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30458727", "https://doi.org/10.1186/s12874-018-0613-8"]}, {"id": "187ccdd0f30bc6e290bb9333e0e87910d7a0b7c1", "title": "Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/187c/cdd0f30bc6e290bb9333e0e87910d7a0b7c1.pdf"], "doi": []}, {"id": "a45d88c33caead08a304bafaf485c4e308a3e464", "title": "Engaging stakeholders in implementation research: lessons from the Future Health Systems Research Programme experience", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0269-6?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297406", "https://doi.org/10.1186/s12961-017-0269-6"]}, {"id": "9f62b249e9130781653424b9cbe00284019bcb34", "title": "Evolutionary History of the Asian Horned Frogs (Megophryinae): Integrative Approaches to Timetree Dating in the Absence of a Fossil Record.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28100792", "https://doi.org/10.1093/molbev%2Fmsw267"]}, {"id": "e26f789c9bc16ba633796b410506a35c0d77e6ac", "title": "HeLa nucleic acid contamination in The Cancer Genome Atlas leads to the 1 misidentification of HPV 18 2 3", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e26f/789c9bc16ba633796b410506a35c0d77e6ac.pdf"], "doi": []}, {"id": "68ee4a2a4aecff38598cf99e72bc21a6ecbbcd1f", "title": "Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/68ee/4a2a4aecff38598cf99e72bc21a6ecbbcd1f.pdf"], "doi": []}, {"id": "3d03714aede1f0c1b6452ee03633f28f22fb90b6", "title": "Which Body Is Mine?", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658414"]}, {"id": "42ae67f114c2c012a1b9c239dea69c2f01cde95a", "title": "The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRI\n", "year": "2017", "pdf": ["https://repository.ubn.ru.nl/bitstream/handle/2066/177101/177101.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28828228", "https://doi.org/10.1002/brb3.777"]}, {"id": "cb90ef9db0e9898f9136ffc806479cac9b8a8ee5", "title": "The invisible dimension of fungal diversity", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1126/science.aae0380", "https://www.ncbi.nlm.nih.gov/pubmed/26965611"]}, {"id": "a988e0bdd48de4c6ff066db08420120d71b5849f", "title": "An entrepreneurial key competencies \u2019 model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a988/e0bdd48de4c6ff066db08420120d71b5849f.pdf"], "doi": []}, {"id": "4c69d4c1282b98512d98a9b32ff1e4ad7f6e2831", "title": "Full-length single-cell RNA-seq applied to a viral human cancer: applications to HPV expression and splicing analysis in HeLa S3 cells.", "year": "2015", "pdf": ["https://gigascience.biomedcentral.com/track/pdf/10.1186/s13742-015-0091-4", "https://static-curis.ku.dk/portal/files/153313105/Full_length_single_cell_RNA_seq_applied_to_a_viral_human_cancer.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26550473", "https://doi.org/10.1186/s13742-015-0091-4"]}, {"id": "10d508af528b88f2658c1bc8d333b2724cf67790", "title": "Transcriptome sequencing of microglial cells stimulated with TLR3 and TLR4 ligands", "year": "2015", "pdf": ["http://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-015-1728-5?site=bmcgenomics.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12864-015-1728-5", "https://www.ncbi.nlm.nih.gov/pubmed/26159724"]}, {"id": "7a39ad4d67f541d0915ad5c07c66cb5abf878787", "title": "Transcriptome sequencing reveals that LPS-triggered transcriptional responses in established microglia BV2 cell lines are poorly representative of primary microglia", "year": "2016", "pdf": ["https://jneuroinflammation.biomedcentral.com/track/pdf/10.1186/s12974-016-0644-1"], "doi": ["https://doi.org/10.1186/s12974-016-0644-1", "https://www.ncbi.nlm.nih.gov/pubmed/27400875"]}, {"id": "7344b71d205a7ad71ebad2873c063d7008f231fc", "title": "The IWSLT 2016 Evaluation Campaign", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7344/b71d205a7ad71ebad2873c063d7008f231fc.pdf"], "doi": []}, {"id": "229695eaa816a925b7ec987f673389cc8e50ccad", "title": "The use of bioacoustics in anuran taxonomy: theory, terminology, methods and recommendations for best practice.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2296/95eaa816a925b7ec987f673389cc8e50ccad.pdf"], "doi": []}, {"id": "8a72d38b8803089821deb7797247d5f0c51a980c", "title": "Lactobacillus casei Strain Shirota Alleviates Constipation in Adults by Increasing the Pipecolinic Acid Level in the Gut", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8a72/d38b8803089821deb7797247d5f0c51a980c.pdf"], "doi": []}, {"id": "3f058948b51c477b1d50d2586249726feded1f05", "title": "Computational Identification of Indispensable Virulence Proteins of Salmonella Typhi CT18", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f05/8948b51c477b1d50d2586249726feded1f05.pdf"], "doi": []}, {"id": "e406566e9cc891b597c6e131bd13587c7a91fcf7", "title": "Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29908476", "https://doi.org/10.1016/j.jad.2018.05.078"]}, {"id": "18d6126231012c8e7fcfc6416cfd4adc4e80557a", "title": "NEON NIST data science evaluation challenge: methods and results of team FEM", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18d6/126231012c8e7fcfc6416cfd4adc4e80557a.pdf"], "doi": []}, {"id": "5223e1170f4d5ed07a69b195bb442fc825c74b70", "title": "Combined nonlinear metrics to evaluate spontaneous EEG recordings from chronic spinal cord injury in a rat model: a pilot study", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11571-016-9394-0", "https://www.ncbi.nlm.nih.gov/pubmed/27668016"]}, {"id": "4a75f9406b2bc407ededf651d75a052c1122d7fc", "title": "Tracking the global footprint of fisheries", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1126/science.aao5646", "http://wormlab.biology.dal.ca/publication/view/kroodsma-da-mayorga-j-hochberg-t-miller-na-boerder-k-ferretti-f-wilson-a-bergman-b-white-td-block-ba-woods-p-sullivan-b-costello-c-worm-b-2018-tracking-the-global-footprint-of-fisheries/", "https://www.ncbi.nlm.nih.gov/pubmed/29472481"]}, {"id": "c880de441a41c351955ad0bf8f712eeee500ac67", "title": "The Sound of Motions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05979.pdf"], "doi": []}, {"id": "be16b4c57b465781490be93d2364a6d72fa19d10", "title": "Molecular Phylogenies indicate a Paleo-Tibetan Origin of Himalayan Lazy Toads (Scutiger)", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-03395-4", "https://www.ncbi.nlm.nih.gov/pubmed/28607415"]}, {"id": "adc902e63cc57963f9b592db9422407ccf5513b3", "title": "Meeting the challenge of DNA barcoding Neotropical amphibians: polymerase chain reaction optimization and new COI primers.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28029226", "https://doi.org/10.1111/1755-0998.12648"]}, {"id": "d4af02345a2b395f68fff9fc9fda980fa3cb2a99", "title": "Participatory monitoring and evaluation approaches that influence decision-making: lessons from a maternal and newborn study in Eastern Uganda", "year": "2017", "pdf": ["http://eprints.lse.ac.uk/86955/1/Kananura%20Participatory%20monitoring%20and%20evaluation%20approaches%20that%20influence%20decision-making.pdf", "https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0274-9?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297410", "https://doi.org/10.1186/s12961-017-0274-9"]}, {"id": "872761c9dc1225cc298da7666f0c3819213ec367", "title": "The Science of Impact and the Impact of Agricultural Science", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8727/61c9dc1225cc298da7666f0c3819213ec367.pdf"], "doi": []}, {"id": "f22fca10092c92f71ebf75fe1e06cf545aff2a26", "title": "Coordinated neuronal ensembles in primary auditory cortical columns", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ee0/10ab0c4c56f2ad3a49edf0d5e76fb4ba2499.pdf"], "doi": []}, {"id": "e3340139c64cd80b3f772af80be8631a7bc0a4cd", "title": "Comparative study of singing voice detection methods", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2894-9"]}, {"id": "69b4200bbc98628109d8ce9005376f5a77f4d55c", "title": "Data Besar, Data Analisis, dan Pengembangan Kompetensi Pustakawan Big Data, Data Analyst, and Improving the Competence of Librarian", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/69b4/200bbc98628109d8ce9005376f5a77f4d55c.pdf"], "doi": []}, {"id": "6ec23eff50f810dfce9b6e072d2bb98d5ff03c5f", "title": "Internet Safe Harbors and the Transformation of Copyright Law", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6ec2/3eff50f810dfce9b6e072d2bb98d5ff03c5f.pdf"], "doi": []}, {"id": "5b7ff330bb5f3e0d40e236ad698e00e10d9f836a", "title": "Identifying Political Sentiment between Nation States with Social Media", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b7f/f330bb5f3e0d40e236ad698e00e10d9f836a.pdf"], "doi": []}, {"id": "6db8af1999cf21476021f24e76bb395bb0afcad5", "title": "Digital dissection of the model organism Xenopus laevis using contrast-enhanced computed tomography.", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/10070983/1/Porro_10925%20_edited.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28547827", "https://doi.org/10.1111/joa.12625"]}, {"id": "5f353acdcef2f7a3b52af35ee180b332013cffdf", "title": "Genetics and Genetic Biomarkers in Sporadic Colorectal Cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26216840", "https://doi.org/10.1053/j.gastro.2015.06.047"]}, {"id": "9e31cd0f454fda3945029ea4b89e2221db6e5e7d", "title": "Socio-structural and psychological foundations of climate change beliefs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9e31/cd0f454fda3945029ea4b89e2221db6e5e7d.pdf"], "doi": []}, {"id": "0a486d331c6f960a8fa7e7b2ced22109703eed44", "title": "Data-Driven Topological Filtering Based on Orthogonal Minimal Spanning Trees: Application to Multigroup Magnetoencephalography Resting-State Connectivity.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28891322", "https://doi.org/10.1089/brain.2017.0512"]}, {"id": "c7a6963d1c0a4026e4ceac97c01db55f4f7cad5c", "title": "Elevated autophagy gene expression in adipose tissue of obese humans: A potential non-cell-cycle-dependent function of E2F1", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c7a6/963d1c0a4026e4ceac97c01db55f4f7cad5c.pdf"], "doi": []}, {"id": "556dd6bc70f4414b4114aeca065ff381ee19c179", "title": "Altered modulation of gamma oscillation frequency by speed of visual motion in children with autism spectrum disorders", "year": "2015", "pdf": ["https://jneurodevdisorders.biomedcentral.com/track/pdf/10.1186/s11689-015-9121-x?site=jneurodevdisorders.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s11689-015-9121-x", "https://www.ncbi.nlm.nih.gov/pubmed/26261460"]}, {"id": "b0db9602697a99ed23e13fda9ce15ec79d6e4818", "title": "CDK4/6 blockade in breast cancer: current experience and future perspectives.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29027483", "https://doi.org/10.1080/13543784.2017.1389896"]}, {"id": "1057ddfa6ce75e99f0820cc8e4ac7f677a796fba", "title": "From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811916306607?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2016.11.042", "https://www.ncbi.nlm.nih.gov/pubmed/27915117", "https://www.wikidata.org/entity/Q45949296"]}, {"id": "74596c2f941b7ec62c739bc4adc097ea16b3896e", "title": "Breeding seabird populations in Brazilian oceanic islands: historical review, update and a call for census standardization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7459/6c2f941b7ec62c739bc4adc097ea16b3896e.pdf"], "doi": []}, {"id": "1413932440feab47496303da8581b94d7d72d283", "title": "Variability of candidate genes, genetic structure and association with sugar accumulation and climacteric behavior in a broad germplasm collection of melon (Cucumis melo L.)", "year": "2015", "pdf": ["http://bmcgenet.biomedcentral.com/track/pdf/10.1186/s12863-015-0183-2?site=bmcgenet.biomedcentral.com", "http://digital.csic.es/bitstream/10261/115886/1/leida%20et%20el%202015%20BMC%20genetics%20Variability%20of%20candidate%20genes.pdf", "https://aran.library.nuigalway.ie/bitstream/handle/10379/5660/Leida-2015-Variability_of_candi.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1186/s12863-015-0183-2", "https://www.ncbi.nlm.nih.gov/pubmed/25886993"]}, {"id": "88fb4a4c7555f9d731ccc521be9add2c3c05bfb6", "title": "Joint analysis of extracellular spike waveforms and neuronal network bursts", "year": "2016", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015004240?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.jneumeth.2015.11.022", "https://www.ncbi.nlm.nih.gov/pubmed/26675487"]}, {"id": "19fe4623f6a3d7db31682d2af7eaf9d39e36c126", "title": "Horizontal visibility graph transfer entropy (HVG-TE): A novel metric to characterize directed connectivity in large-scale brain networks", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811917304457?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2017.05.047", "https://www.ncbi.nlm.nih.gov/pubmed/28539247", "https://www.wikidata.org/entity/Q38766520"]}, {"id": "6b121bc1cfa90a9c35b397739673dee90689b4d1", "title": "Computational analysis of memory capacity in echo state networks", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27599031", "https://doi.org/10.1016/j.neunet.2016.07.012", "https://www.wikidata.org/entity/Q39419044"]}, {"id": "8f2830175439a9ed749ec07eb440ada3f8d3eab0", "title": "Triad of human cellular proteins, IRF2, FAM111A, and RFC3, restrict replication of orthopoxvirus SPI-1 host-range mutants.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28320935", "https://doi.org/10.1073/pnas.1700678114"]}, {"id": "6136079ba26c0b3842171308fe3e991750239535", "title": "Possible Human Papillomavirus 38 Contamination of Endometrial Cancer RNA Sequencing Samples in The Cancer Genome Atlas Database.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26085148", "https://doi.org/10.1128/JVI.00822-15"]}, {"id": "f089607a12bbefeafa2a302b5c634ef66957b7cb", "title": "Do senior medical students meet recommended emergency medicine curricula requirements?", "year": "2018", "pdf": ["https://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-1110-1?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29304795", "https://doi.org/10.1186/s12909-017-1110-1"]}, {"id": "b6cc07a6d7b92061f6820e5a48c8fd560622f830", "title": "Identification of potential biomarkers to differentially diagnose solid pseudopapillary tumors and pancreatic malignancies via a gene regulatory network", "year": "2015", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/s12967-015-0718-3&originUrl=http://translational-medicine.biomedcentral.com/article/10.1186/s12967-015-0718-3"], "doi": ["https://doi.org/10.1186/s12967-015-0718-3", "https://www.ncbi.nlm.nih.gov/pubmed/26578390"]}, {"id": "dc6e1dcc3a57407846009d3723ccee94901fad7e", "title": "Up-regulation of CDK16 by multiple mechanisms in hepatocellular carcinoma promotes tumor progression", "year": "2017", "pdf": ["https://jeccr.biomedcentral.com/track/pdf/10.1186/s13046-017-0569-2?site=jeccr.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28716136", "https://doi.org/10.1186/s13046-017-0569-2"]}, {"id": "6e519f7ef5d1364b639f50b37fe2927a554eb114", "title": "Multiple extreme environmental conditions of intermittent soda pans in the Carpathian Basin (Central Europe).", "year": "2017", "pdf": ["https://core.ac.uk/download/pdf/78474239.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28572691", "https://doi.org/10.1016/j.limno.2016.10.003"]}, {"id": "a7359718e3f59adf9c78261c284974e910078192", "title": "Effects of pyrrolidine dithiocarbamate on proliferation and nuclear factor-\u03baB activity in autosomal dominant polycystic kidney disease cells", "year": "2015", "pdf": ["http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/s12882-015-0193-3&originUrl=http://bmcnephrol.biomedcentral.com/article/10.1186/s12882-015-0193-3"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26666710", "https://doi.org/10.1186/s12882-015-0193-3"]}, {"id": "dc1cfd24c194b932f094aa284dbd0cb7d6db8ae7", "title": "Investigation of synergistic mechanism and identification of interaction site of aldose reductase with the combination of gigantol and syringic acid for prevention of diabetic cataract", "year": "2016", "pdf": ["https://bmccomplementalternmed.biomedcentral.com/track/pdf/10.1186/s12906-016-1251-5"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27520089", "https://doi.org/10.1186/s12906-016-1251-5"]}, {"id": "6c66b256f2afa0340946a2687efe03d98635ac8c", "title": "The first metagenome of activated sludge from full-scale anaerobic/anoxic/oxic (A2O) nitrogen and phosphorus removal reactor using Illumina sequencing.", "year": "2015", "pdf": ["http://www.jesc.ac.cn/jesc_en/ch/reader/create_pdf.aspx?file_no=S1001074215002508&flag=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26354707", "https://doi.org/10.1016/j.jes.2014.12.027"]}, {"id": "155bf3bbdaa9b188e57941a13beaae3ed88d4f16", "title": "Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data", "year": "2017", "pdf": ["https://microbiomejournal.biomedcentral.com/track/pdf/10.1186/s40168-016-0224-8", "https://static-content.springer.com/esm/art:10.1186%2Fs40168-016-0224-8/MediaObjects/40168_2016_224_MOESM7_ESM.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28118849", "https://doi.org/10.1186/s40168-016-0224-8"]}, {"id": "cc8b8a5a94663ad04d12e3dfb9fdbd6b2a90a9f8", "title": "Population Pharmacokinetics of Liposomal Irinotecan in Patients With Cancer", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28445610", "https://doi.org/10.1002/cpt.720"]}, {"id": "17541aff81a0c91d80579534d536c93f33e23eb3", "title": "Viral sequences in human cancer.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29107929", "https://doi.org/10.1016/j.virol.2017.10.017"]}, {"id": "d353a12e86568aa906b77902d23e3efe5fa753a7", "title": "Medical students\u2019 preparedness for professional activities in early clerkships", "year": "2017", "pdf": ["https://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-0971-7?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28830418", "https://doi.org/10.1186/s12909-017-0971-7"]}, {"id": "2e6c0d9a85422f12a3f872bba7e6c4aabafb7f6e", "title": "The LncRNA EPEL Promotes Lung Cancer Cell Proliferation Through E2F Target Activation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e6c/0d9a85422f12a3f872bba7e6c4aabafb7f6e.pdf"], "doi": []}, {"id": "72fda2a71c9ff6150fd0de1ae36da55acc2b4f84", "title": "The role of radiation therapy in pancreatic ductal adenocarcinoma in the neoadjuvant and adjuvant settings.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25726059", "https://doi.org/10.1053/j.seminoncol.2014.12.013"]}, {"id": "b2eaf48702f8f4f1ed7f0a559a3304d895c54e3d", "title": "CeL-ID: cell line identification using RNA-seq data", "year": "2018", "pdf": ["https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-018-5371-9"], "doi": ["https://doi.org/10.1186/s12864-018-5371-9", "https://www.ncbi.nlm.nih.gov/pubmed/30712511"]}, {"id": "2a7f3aac050fb9a58f61401c7435766f74d7826e", "title": "TCGA data and patient-derived orthotopic xenografts highlight pancreatic cancer-associated angiogenesis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1c4a/90a3e85a8dfc7853ba550436d2ef2bc6f855.pdf"], "doi": []}, {"id": "6eee0f81e4b0ac40798aa13c5bdc65121a3a4bd4", "title": "Viral infections and breast cancer - A current perspective.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29410005", "https://doi.org/10.1016/j.canlet.2018.01.076"]}, {"id": "6bde9b4e4b3684f62847f9d675944d7349d8aebb", "title": "Medical student changes in self-regulated learning during the transition to the clinical environment", "year": "2017", "pdf": ["https://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-0902-7?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28327147", "https://doi.org/10.1186/s12909-017-0902-7"]}, {"id": "07e28a3c02c9213d8d3a4eb885739e6fa5ccbc59", "title": "Towards Secure Collaboration in Federated Cloud Environments", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784642"]}, {"id": "0e05deeae34639409a73c0bd2e0fe1b8bd96a994", "title": "Isolation and characterization of a novel putative human polyomavirus.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28342387", "https://doi.org/10.1016/j.virol.2017.03.007"]}, {"id": "e83feb2cdcae3d3cc27e220e9cfeeab750a6417d", "title": "Open Digital Repositories - The Movement of Open Access in Opposition to the Oligopoly of Scientific Publishers", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e83f/eb2cdcae3d3cc27e220e9cfeeab750a6417d.pdf"], "doi": []}, {"id": "b55899aa7161f79be69e19d512830d57f2b2e3ce", "title": "Information theory and robotics meet to study predator-prey interactions.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28764408", "https://doi.org/10.1063/1.4990051"]}, {"id": "08e10ac62efec48c24d9d85de410c4d46984b85c", "title": "Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08e1/0ac62efec48c24d9d85de410c4d46984b85c.pdf"], "doi": []}, {"id": "59fd73c73a529d153f994fdcf9a43272f5ea81af", "title": "Drug Battles and School Achievement: Evidence from Rio de Janeiro's Favelas", "year": "2017", "pdf": ["http://scioteca.caf.com/bitstream/handle/123456789/250/drug-battles-school-achievement-evidence-rio-janeiro.pdf?isAllowed=y&sequence=1", "http://www.ie.ufrj.br/images/pesquisa/pesquisa/textos_sem_peq/texto1305.pdf", "https://www.aeaweb.org/conference/2014/retrieve.php?pdfid=142", "https://www.dartmouth.edu/~neudc2012/docs/paper_260.pdf"], "doi": ["https://doi.org/10.1162/REST_a_00628"]}, {"id": "74e06618a7c76311b9272fbdfbb81849faef0dc0", "title": "A model of rapid phonotactic generalization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/74e0/6618a7c76311b9272fbdfbb81849faef0dc0.pdf"], "doi": []}, {"id": "bd0b179d9badf9ca83cb73154ae6107a7e126fcd", "title": "MediaViz: An Interactive Visualization Platform for Online Media Studies", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808474"]}, {"id": "94b5c8c7987a6a067d35ec00ee3d341ebffb1d73", "title": "Information theoretic approaches for inference of biological networks from continuous-valued data", "year": "2016", "pdf": ["https://bmcsystbiol.biomedcentral.com/track/pdf/10.1186/s12918-016-0331-y?site=bmcsystbiol.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12918-016-0331-y", "https://www.ncbi.nlm.nih.gov/pubmed/27599566", "https://www.wikidata.org/entity/Q31126931"]}, {"id": "fa3250f3947795e779b68bad07843632e15f383e", "title": "The interplay of past diversification and evolutionary isolation with present imperilment across the amphibian tree of life", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41559-018-0515-5", "https://www.ncbi.nlm.nih.gov/pubmed/29581588"]}, {"id": "06e098868eb775f8747baf48abcea37d4096035f", "title": "Data-driven Topological Filtering based on Orthogonal Minimal Spanning Trees: Application to Multi-Group MEG Resting-State Connectivity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/06e0/98868eb775f8747baf48abcea37d4096035f.pdf"], "doi": []}, {"id": "3b83aa6f4b1600ecd705b7abf6bbc3d13ba882fa", "title": "Data sharing and use of ICTs in agriculture: working with small farmer groups in Colombia", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3b83/aa6f4b1600ecd705b7abf6bbc3d13ba882fa.pdf"], "doi": []}, {"id": "9b4bd5fe014465cc3fad70ab40aceac0a32555db", "title": "Combination of statistical and physically based methods to assess shallow slide susceptibility at the basin scale", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/705f/8be9b57621500f549bfdc632296ae25b6b87.pdf"], "doi": []}, {"id": "e05ce0ad2cfdb434bda2943336f87372d3c9696b", "title": "Group-housed females promote production of asexual ootheca in American cockroaches", "year": "2017", "pdf": ["https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/64778/1/Katoh%20et%20al.,%202017.pdf", "https://zoologicalletters.biomedcentral.com/track/pdf/10.1186/s40851-017-0063-x?site=zoologicalletters.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s40851-017-0063-x", "https://www.ncbi.nlm.nih.gov/pubmed/28331632"]}, {"id": "9a10359fb27c73dbb4941f703272a485bf80ea3f", "title": "Uncovering Neuronal Networks Defined by Consistent Between-Neuron Spike Timing from Neuronal Spike Recordings", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9a10/359fb27c73dbb4941f703272a485bf80ea3f.pdf"], "doi": []}, {"id": "e2d75ce9a2530397d01fd8457a266c089650403f", "title": "Deconstructing cartilage shape and size into contributions from embryogenesis, metamorphosis, and tadpole and frog growth.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25913729", "https://doi.org/10.1111/joa.12303"]}, {"id": "ae79644994072ee6d2a20c6c5312388216695e6e", "title": "Eigenspace generalized sidelobe canceller combined with SNR dependent coherence factor for plane wave imaging", "year": "2018", "pdf": ["https://biomedical-engineering-online.biomedcentral.com/track/pdf/10.1186/s12938-018-0541-1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30103746", "https://doi.org/10.1186/s12938-018-0541-1"]}, {"id": "e2751175921b0ad49009014e42036f5e3c5733ee", "title": "Parametric estimation of cross-frequency coupling", "year": "2015", "pdf": ["http://discovery.ucl.ac.uk/1463896/1/Parametric%20estimation%20of%20cross-frequency%20coupling.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015000394", "https://doi.org/10.1016/j.jneumeth.2015.01.032", "https://www.ncbi.nlm.nih.gov/pubmed/25677405"]}, {"id": "918cb1561227a2ac8d97a3891bc9d2735e3144ab", "title": "Performance of surface and subsurface flow constructed wetlands treating eutrophic waters.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28399497", "https://doi.org/10.1016/j.scitotenv.2017.03.278"]}, {"id": "effcb72f9db35e06219a93a64a2d9bbd6c97a15f", "title": "Google Politics : The Political Determinants of Internet Censorship in Democracies \u2217", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/effc/b72f9db35e06219a93a64a2d9bbd6c97a15f.pdf"], "doi": []}, {"id": "775b2829c1c0d40fc827b186bacb82ac04a997dd", "title": "Application of Metabolomic Tools for Studying Low Molecular-Weight Fraction of Animal Venoms and Poisons", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775b/2829c1c0d40fc827b186bacb82ac04a997dd.pdf"], "doi": []}, {"id": "05074f3b335b6a7bf038e04acce4ad7dbfda9643", "title": "The suction mechanism of the pipid frog, Pipa pipa (Linnaeus, 1758).", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28547886", "https://doi.org/10.1002/jmor.20707"]}, {"id": "c563bb4094df718c53fc9c9adf6a370a1f1dbe05", "title": "Petrosectomy and Topographical Anatomy in Traditional Kawase and Posterior Intradural Petrous Apicectomy (PIPA) Approach: An Anatomical Study.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26431733", "https://doi.org/10.1016/j.wneu.2015.08.083"]}, {"id": "18b4878764edfcca7adcf152c63c4ed875d942bb", "title": "Pipa carvalhoi skin secretion profiling: absence of peptides and identification of kynurenic acid as the major constitutive component.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25181950", "https://doi.org/10.1016/j.cbpc.2014.08.001"]}, {"id": "bbb6dfaae8dbf37c646fc4905a7f83791fe3bd23", "title": "Studi Numerik Pengaruh Kecepatan Angin Terhadap Critical Radius Dan Distribusi Temperatur Pada Pipa Uap", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bbb6/dfaae8dbf37c646fc4905a7f83791fe3bd23.pdf"], "doi": []}, {"id": "41595b385b0c913c67b47870ff91a1385bd1ea47", "title": "Horizontal Directivity of Pipa Radiation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a562/aef4c60e76b58f107ec18659b210656d12e0.pdf"], "doi": []}, {"id": "b34d587e2afd8e40d19bf207009a414c705d3915", "title": "ANALISA INTEGRITAS PIPA MILIK JOINT OPERATIONBODY PERTAMINA-PETROCHINA EAST JAVA SAATINSTALASI", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b34d/587e2afd8e40d19bf207009a414c705d3915.pdf"], "doi": []}, {"id": "f088e4101bf701dcb364ca760e1e9515a0453177", "title": "[Consensus-based recommendations and proposals for improving the management of elderly emergency patients with suspected infection in the Spanish autonomous community of Valencia: the PIPA project].", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29077349"]}, {"id": "a53da5a53033bc614829ea42ff80d5fb846f1db4", "title": "Analisa Kegagalan Pipa Desuperheater Spray pada Pembangkit Listrik Tenaga Uap Unit 4 PT. PJB UP. Gresik", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a53d/a5a53033bc614829ea42ff80d5fb846f1db4.pdf"], "doi": []}, {"id": "0c92c92ab302aab52f15ecd1f7283ebd3e177760", "title": "KOROSI PIPA PENDINGIN SEKUNDER RSG-GAS DENGAN TEKNIK ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0c92/c92ab302aab52f15ecd1f7283ebd3e177760.pdf"], "doi": []}, {"id": "c34a10d7975c04860f111f7c4be093a190c9ca3c", "title": "FACTORES DE ATRACTIVIDAD Y CALIDAD DE LOS SERVICIOS TUR\u00cdSTICOS EN EL DESTINO PIPA - BRASIL", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c34a/10d7975c04860f111f7c4be093a190c9ca3c.pdf"], "doi": []}, {"id": "53e9a0d4ee6050dfdf2c2a28128ad20932c8a63e", "title": "A simplified table for staging embryos of the pipid frog Pipa arrabali.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/53e9/a0d4ee6050dfdf2c2a28128ad20932c8a63e.pdf"], "doi": []}, {"id": "91630ba8d7df31451326de16c55920b0397c4fb1", "title": "Analisis On-Bottom Stability dan Local Buckling: Studi Kasus Pipa Bawah Laut dari Platform Ula Menuju Platform Uw", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9163/0ba8d7df31451326de16c55920b0397c4fb1.pdf"], "doi": []}, {"id": "ed10a4444d75a880b316634b74614116c0ca1a25", "title": "PERANCANGAN RISER DAN EXPANSION SPOOL PIPA BAWAH LAUT: STUDI KASUS KILO FIELD PT. PERTAMINA HULU ENERGI OFFSHORE NORTH WEST JAVA", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ed10/a4444d75a880b316634b74614116c0ca1a25.pdf"], "doi": []}, {"id": "52766e1120013de308509bb5dd29c28ea7db17ff", "title": "Possible photoactivated dermatitis with features of post-inflammatory pigmentary alteration (PIPA) and rosacea.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5276/6e1120013de308509bb5dd29c28ea7db17ff.pdf"], "doi": []}, {"id": "24508e9632fd5e5088757ee7ddbf71789782d721", "title": "Engine Matching Propeller Pada Kapal Ikan Pipa Paralon Untuk Mendapatkan Sistem Propulsi Yang Optimal", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2450/8e9632fd5e5088757ee7ddbf71789782d721.pdf"], "doi": []}, {"id": "8fd00a1224f2e88ebe58cfb041818940f664a045", "title": "DISTRIBUSI LIQUID HOLD UP PADA ALIRAN CINCIN (ANNULAR) AIR\u2013UDARA DI PIPA HORIZONTAL MENGGUNAKAN C.E.C.M", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8fd0/0a1224f2e88ebe58cfb041818940f664a045.pdf"], "doi": []}, {"id": "28c30df2536340aa4ae2f746f91ef8477dfac6e0", "title": "Spesimen Pipa Api 5 l Grade X 42", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/28c3/0df2536340aa4ae2f746f91ef8477dfac6e0.pdf"], "doi": []}, {"id": "c391a08801e6357919c0f309b0936aaec676d3fc", "title": "The Pharmacokinetics of Morphine and Codeine in Human Plasma and Urine after Oral Administration of Qiangli Pipa Syrup.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29148050", "https://doi.org/10.1111/1556-4029.13696"]}, {"id": "bb8cb0ce88c64c8d68a7908eef649f532357d4b9", "title": "Analisa Atenuasi pada Pipa Plastik Dengan Kawat Logam Sebagai Terahertz Waveguide Menggunakan Metode Finite Difference", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bb8c/b0ce88c64c8d68a7908eef649f532357d4b9.pdf"], "doi": []}, {"id": "3c166bf8ab44e82d80cbb5a4fb95b7a102e1fcef", "title": "ANALISA DAN PERANCANGAN SISTEM REPORTING ONLINEPATROLI DAN LEAK SURVEY JARINGAN PIPA GAS BUMI", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3c16/6bf8ab44e82d80cbb5a4fb95b7a102e1fcef.pdf"], "doi": []}, {"id": "df4c0cbe99ef423ea511e54cd0fa561c333755ad", "title": "ANALISA TEGANGAN PIPA STEAM LOW CONDENSATE DIAMETER 6\u201d PADA PT IKPT", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4c/0cbe99ef423ea511e54cd0fa561c333755ad.pdf"], "doi": []}, {"id": "3b2de110ff0600ecd24c13090683494692a0f40d", "title": "Gera\u00e7\u00e3o de energia por pipas Power generation with kites", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3b2d/e110ff0600ecd24c13090683494692a0f40d.pdf"], "doi": []}, {"id": "ebb3c582d1f1a36bc678fdda74c64a70fb9a1016", "title": "PERANCANGAN KAPAL IKAN MINI PURSE SINE DISPLACEMENT 15 TON TIPE MONOHULL MENGGUNAKAN PIPA PVC", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebb3/c582d1f1a36bc678fdda74c64a70fb9a1016.pdf"], "doi": []}, {"id": "716f9b8187f36333d649c56cb608ed2d56f55d2d", "title": "\u2018 Recomposing \u2019 Unpublished Chinese Folk Songs into New Australian Compositions for Pipa and Piano", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/716f/9b8187f36333d649c56cb608ed2d56f55d2d.pdf"], "doi": []}, {"id": "5a760792ca3b3e61106fc620c78af5c17252c3d8", "title": "ANALISIS COMPUTATIONAL FLUID DYNAMICS (CFD) TERHADAP PROFIL TEMPERATUR UNTUK KONDENSASI STEAM ARAH CIRCUMFERENTIAL PADA PIPA KONSENTRIK HORISONTAL DENGAN ALIRAN PENDINGINAN SEARAH DI DALAM RUANG ANULAR", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5a76/0792ca3b3e61106fc620c78af5c17252c3d8.pdf"], "doi": []}, {"id": "2974aa16071a0b018089f19b0bd5866f5203357b", "title": "PENGARUH TEMPERATUR PADA COATING WRAPPING TAPE TERHADAP COATING BREAKDOWN DAN CURRENT DENSITY PADA PIPA BAJA DALAM APLIKASI IMPRESSED CURRENT CATHODIC PROTECTION (ICCP)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2974/aa16071a0b018089f19b0bd5866f5203357b.pdf"], "doi": []}, {"id": "9b9ec9a27a0d77dcba5c8324e19f4539fd57f239", "title": "PEMETAAN UTILITAS PIPA DAN KABEL BAWAH TANAH DI JALAN SUDIRMAN, DKI JAKARTA DENGAN METODE GROUND PENETRATING RADAR (GPR)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9b9e/c9a27a0d77dcba5c8324e19f4539fd57f239.pdf"], "doi": []}, {"id": "96a70ef603c22a1d12f6d8695bdca787d72e6894", "title": "Programasi Linear untuk Pencarian Diameter Pipa Optimal pada Sistem Jaringan Pipa Distribusi Air Bersih", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/96a7/0ef603c22a1d12f6d8695bdca787d72e6894.pdf"], "doi": []}, {"id": "03c5d4032260f610e5ab8643f9a375562d376e12", "title": "ALBORES DEL PSICOTROPISMO EN SAN PEDRO DE ATACAMA: PIPAS VS. TABLETAS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/03c5/d4032260f610e5ab8643f9a375562d376e12.pdf"], "doi": []}, {"id": "9534e69ec99febdc3d651d047f59220ceeb2ddf8", "title": "A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9534/e69ec99febdc3d651d047f59220ceeb2ddf8.pdf"], "doi": []}, {"id": "f330efc0c08a18f23727ed61672548c1a76147b9", "title": "Terapia g\u00e9nica: \u00bfrealidad o s\u00f3lo un sue\u00f1o de pipa?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f330/efc0c08a18f23727ed61672548c1a76147b9.pdf"], "doi": []}, {"id": "386824729fb4a73a3e3123458c24f96595866b06", "title": "PENGARUH PENAMBAHAN ARANG SEKAM PADI TERHADAP SIFAT KONDUKTIVITAS HIDROLIK PIPA MORTAR", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d639/d10aeb12289be047b30f7ce1c39ef79b5caa.pdf"], "doi": []}, {"id": "f9c481c3ba9565de5145e9d5fd7b6ca9c1e974f2", "title": "USULAN RANCANGAN MESIN SANDBLASTING UNTUK PRODUK PIPA BUSHING ARM HONDA CRV", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f9c4/81c3ba9565de5145e9d5fd7b6ca9c1e974f2.pdf"], "doi": []}, {"id": "c2e0e6b13f90a39e77d835cd2e938d6b861fe0c4", "title": "Pengaruh Variasi Sudut Butterfly Valve Pada Pipa Gas Buang Terhadap Unjuk Kerja Motor Bensin 4 Langkah", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c2e0/e6b13f90a39e77d835cd2e938d6b861fe0c4.pdf"], "doi": []}, {"id": "456d472a6d7e0f0089101a8bd01e1c225e8594fe", "title": "Uji Model Fisik Water Treatment Bentuk Pipa dengan Media Aerasi Baling-Baling", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/456d/472a6d7e0f0089101a8bd01e1c225e8594fe.pdf"], "doi": []}, {"id": "8b2f7d73117042df1bc60dcb96317b525f878da3", "title": "Penentuan Oil Losses dan Faktor Koreksi Pada Jalur Pipa Pengiriman Minyak Mentah di Sumatera Selatan", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8b2f/7d73117042df1bc60dcb96317b525f878da3.pdf"], "doi": []}, {"id": "c61d0a64a61c03940f5f1cd4cbd9016e9e6f96d4", "title": "Perception of sleep-related disturbs by parents/guardians of patients with respiratory disease treated at the children's asthma prevention program (PIPA) - Uruguaiana, RS, Brazil", "year": "2015", "pdf": ["https://waojournal.biomedcentral.com/track/pdf/10.1186/1939-4551-8-S1-A10?site=waojournal.biomedcentral.com"], "doi": ["https://doi.org/10.1186/1939-4551-8-S1-A10"]}, {"id": "0c227bb7a5f65377d9489522e0e650e1a474a3ec", "title": "Optimalisasi Proses Manufaktur dalam Pembuatan Pipa Union dengan Menggunakan Metode Hungarian dan PERT/CPM", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0c22/7bb7a5f65377d9489522e0e650e1a474a3ec.pdf"], "doi": []}, {"id": "633c88d898a0f5ded78946e62be86440d8493c7c", "title": "Uji Kinerja Pipa Aliran Steam pada Tangki Pengukus Beras Pratanak (Parboiled Rice)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/633c/88d898a0f5ded78946e62be86440d8493c7c.pdf"], "doi": []}, {"id": "b2caa1ce775224c355b2a7978268d088178f7708", "title": "Teaching Study of Marine Diesel Engine Based on O-PIPAS Teaching Method", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b2ca/a1ce775224c355b2a7978268d088178f7708.pdf"], "doi": []}, {"id": "e672c6355c2ade9087ff8fafa61fe3d99ef5acd7", "title": "Pengaruh Post Weld Heat Treatment (Pwht) dengan Pemanas Induksi Terhadap Sifat Mekanik dan Struktur Mikro Sambungan Las Shield Metal Arc Welding (Smaw) pada Pipa API 5l X52", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e672/c6355c2ade9087ff8fafa61fe3d99ef5acd7.pdf"], "doi": []}, {"id": "f069a0b1fcea058bed4ef040dcbd5faa71eee605", "title": "Perancangan Flowmeter Ultrasonik untuk Mengukur Debit Air Pada Pipa", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f069/a0b1fcea058bed4ef040dcbd5faa71eee605.pdf"], "doi": []}, {"id": "b8554fddefd5f839a40deacbfe17a4244445128c", "title": "Analisis Tegangan Pipa saat Towing pada Proses Instalasi dengan Metode Surface Tow", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b855/4fddefd5f839a40deacbfe17a4244445128c.pdf"], "doi": []}, {"id": "cf0b7c31f93185259ff63c55e7b0489416d7069f", "title": "ANALISA TEGANGAN STATIK PIPA YANG TERHUBUNG DENGAN TANGKI MINYAK (OIL TANK) MENGGUNAKAN SOFTWARE CAESAR II", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cf0b/7c31f93185259ff63c55e7b0489416d7069f.pdf"], "doi": []}, {"id": "044726a1fe1b661ad323650cc6a80fbfd06ad563", "title": "PENENTUAN ALLOWABLE SPAN ANTAR PENYANGGA PIPA SLF BERDASARKAN TEGANGAN, DEFLEKSI, FREKUENSI ALAMI", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0447/26a1fe1b661ad323650cc6a80fbfd06ad563.pdf"], "doi": []}, {"id": "253618a3b36b83d575c33051c300a453a68001c2", "title": "KARAKTERISTIK PERPINDAHAN PANAS KONVEKSI ALAMIAH ALIRAN NANOFLUIDA AL2O3-AIR DI DALAM PIPA ANULUS VERTIKAL", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2536/18a3b36b83d575c33051c300a453a68001c2.pdf"], "doi": []}, {"id": "e0ebbb280d6e6b6c60144bd1fa9b375848c42e40", "title": "Analisa Karakteristik Katup Ekspansi Termostatik Dan Pipa Kapiler Pada Sistem Pendingin Water Chiller", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e0eb/bb280d6e6b6c60144bd1fa9b375848c42e40.pdf"], "doi": []}, {"id": "75e24dfa8e692b9a020f8afce8ec39d04e555a2d", "title": "OPTIMASI DIAMETER PIPA PESAT PADA MODEL PEMBANGKIT LISTRIK TENAGA MIKROHIDRO (PLTMH)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dac7/ea0bc46a3c5788d1da628a9075adecc2bff7.pdf"], "doi": []}, {"id": "39963a9e637d710b8280cf6626b789b7c63b24ac", "title": "Purwarupa Pembersih Pipa Otomatis (Automatic Tube Remover) pada Heat Exchanger Menggunakan Teknik Pengolahan Citra", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3996/3a9e637d710b8280cf6626b789b7c63b24ac.pdf"], "doi": []}, {"id": "7e36af00e6faedfef8b8622f9b08ca1aba9725cb", "title": "STUDI NUMERIK LIMIT TEKANAN PIPA PVC BERPENGUAT IJUK DENGAN BEBAN TEKANAN INTERNAL DAN EKSTERNAL", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7e36/af00e6faedfef8b8622f9b08ca1aba9725cb.pdf"], "doi": []}, {"id": "a934ccd86fccf5e2ce45b050372049a4178a9360", "title": "Deteksi Letak Kebocoran Pipa Berdasarkan Analisis Debit Air Menggunakan Teknologi Sensor Flowmeter Berbasis TCP/IP", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a934/ccd86fccf5e2ce45b050372049a4178a9360.pdf"], "doi": []}, {"id": "24a2503a585eaf428627301bbb7c59776a11b117", "title": "ANALISA FENOMENA KOROSI PELAT PIPA BAJA KARBON API 5L-X65 DALAM LARUTAN 250 ML ASAM ASETAT DAN 4750 ML AQUADES PADA KONDISI GAS CO2 DAN H2S JENUH PADA SUHU RUANG", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/24a2/503a585eaf428627301bbb7c59776a11b117.pdf"], "doi": []}, {"id": "91b10c863c360ff90010c3b1f9cae711f38c9b86", "title": "Riset Material ANALISA FENOMENA KOROSI PELAT PIPA BAJA KARBON API 5L-X65 DALAM LARUTAN 7900 ML AIR LAUT DAN 100 ML AMONIAK PADA KONDISI GAS CO2 DAN H2S JENUH PADA SUHU RUANG.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/91b1/0c863c360ff90010c3b1f9cae711f38c9b86.pdf"], "doi": []}, {"id": "2f84b20b1cb88ead9231a9d52a159315a02981f6", "title": "Penelitian untuk mengetahui karakteristik aliran dan perpindahan panas diluar pipa yang mengalir secara crossflow telah mengalami perkembangan yang sangat pesat. Salah satunya dengan melakukan modifikasi susunan pipa pada daerah surface condenser untuk mengurangi gaya dinamik akibat tumbukan aliran ", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f84/b20b1cb88ead9231a9d52a159315a02981f6.pdf"], "doi": []}, {"id": "6ed20cbb6d04e7c5d3349ecbbbd6268c2d74b2f6", "title": "Beam domain adaptive beamforming using generalized side lobe canceller with coherence factor for medical ultrasound imaging", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8091757"]}, {"id": "3f42a0594806a2f13f4c8da27ec4bd48dcb2c771", "title": "Trends in percutaneous coronary intervention from 2004 to 2013 according to the Portuguese National Registry of Interventional Cardiology.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26603054", "https://doi.org/10.1016/j.repce.2015.09.003"]}, {"id": "8de4fd5f3015be344448868189ba6c8ed3684ee9", "title": "[Irritable Bowel Syndrome; gut microbiota and probiotic therapy].", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.3305/nh.2015.31.sup1.8713"]}, {"id": "5874b2c5bc3dd365bf1167a644ac976ffe4cb501", "title": "Thrombus aspiration in patients with ST-elevation myocardial infarction: results of a national registry of interventional cardiology", "year": "2018", "pdf": ["https://bmccardiovascdisord.biomedcentral.com/track/pdf/10.1186/s12872-018-0794-4"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29699478", "https://doi.org/10.1186/s12872-018-0794-4"]}, {"id": "761b37cfe3ab4c3ad48d3c8078c9014f432711e3", "title": "Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29357047", "https://doi.org/10.1007/s11948-018-0020-x"]}, {"id": "1433fecc8bd6101a53fe5ab96fd38de1964a38f4", "title": "Omega 3 Fatty Acids Reduce Bone Resorption While Promoting Bone Generation in Rat Apical Periodontitis.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28359664", "https://doi.org/10.1016/j.joen.2017.01.006"]}, {"id": "7ff94c660316845cb332a03746f7e0d247de0641", "title": "A minimax dictionary expansion for sparse continuous reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081587"]}, {"id": "f44c10db09370a58b4c3ad84f0c9dd120bbd9708", "title": "Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f44c/10db09370a58b4c3ad84f0c9dd120bbd9708.pdf"], "doi": []}, {"id": "d63845d9e827e856c5f83edfbc6ff3c2dc45832d", "title": "Experimental Study for Improving the Repair of Magnesium\u2013Aluminium Hybrid Parts by Turning Processes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d638/45d9e827e856c5f83edfbc6ff3c2dc45832d.pdf"], "doi": []}, {"id": "0ffd4ce5937cc796c788b1927314faff256d3b01", "title": "CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0ffd/4ce5937cc796c788b1927314faff256d3b01.pdf"], "doi": []}, {"id": "50aa5b7b8c9f16f68f2d8d2c6309171080f94d44", "title": "Trends in primary angioplasty in Portugal from 2002 to 2013 according to the Portuguese National Registry of Interventional Cardiology.", "year": "2016", "pdf": ["http://repositorio.chlc.min-saude.pt/bitstream/10400.17/2554/1/RPC%202016%20395.pdf", "https://repositorio.hff.min-saude.pt/bitstream/10400.10/1773/1/RPC%202016%20395.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27396628", "https://doi.org/10.1016/j.repc.2016.01.005"]}, {"id": "0076d3619c355df661d7f11019de786d1f3be733", "title": "Capacitive Multielectrode Direct-Imaging Sensor for the Visualization of Two-Phase Flows", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7971928"]}, {"id": "f9012529c898b52df3753c7110c729c6ef14b1bf", "title": "Analisa Kegagalan Pada Hanger Tube Outlet Section Secondary Superheater Boiler Pipa Air Tipe IHI-FW SR 643000 Kg/Jam", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f901/2529c898b52df3753c7110c729c6ef14b1bf.pdf"], "doi": []}, {"id": "1d25e3a007d26edc48a302b8d5a4d1c9e0a63e9a", "title": "RANCANG BANGUN DAPUR KETEL UAP PIPA API MINI MODEL HORIZONTAL ALAT PENDUKUNG INDUSTRI TAHU DENGAN JENIS BAHANBAKAR BIOMASSA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1d25/e3a007d26edc48a302b8d5a4d1c9e0a63e9a.pdf"], "doi": []}, {"id": "f4bd5b586fc4a28344c3c3f568bf9c708e3d664f", "title": "Implementasi Algoritma Solin Dalam Menentukan Minimum Spanning Tree Pada Pembuatan Jalur Pipa Air Di Universitas Sumatera Utara", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4bd/5b586fc4a28344c3c3f568bf9c708e3d664f.pdf"], "doi": []}, {"id": "b90cc7d10ab3d519c374aad112b570592e471235", "title": "Analisis Kekuatan Tarik Dan Struktur Mikro Pada Sambungan T-Joint Dan Butt Joint Pipa Alumunium Dengan Metode Soldering", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b90c/c7d10ab3d519c374aad112b570592e471235.pdf"], "doi": []}, {"id": "9b05066bf6920b22c27027047ddc29201b557864", "title": "SIMULASI NUMERIK PENGARUH SUDUT KEMIRINGAN TERHADAP PENINGKATAN PERPINDAHAN PANAS PADA PENUKAR KALOR PIPA KONSENTRIK DENGAN LOUVERED STRIP INSERT", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b05/066bf6920b22c27027047ddc29201b557864.pdf"], "doi": []}, {"id": "b69191cd45ef577effd94f64c3ebd56cb03062dc", "title": "Analisis Kekuatan Tarik dan Struktur Mikro pada Sambungan T- Joint dan Butt Joint Pipa Aluminium dengan Metode TIG Argon Welding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b691/91cd45ef577effd94f64c3ebd56cb03062dc.pdf"], "doi": []}, {"id": "390517f44e993787f79114e964f6f01f325aec57", "title": "A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1162/neco_a_01057", "https://www.ncbi.nlm.nih.gov/pubmed/29342400", "https://www.wikidata.org/entity/Q47727523"]}, {"id": "e03b08ab948154d563216e1da787730026b7aba9", "title": "A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00756", "https://www.ncbi.nlm.nih.gov/pubmed/26079751", "https://www.wikidata.org/entity/Q40830687"]}, {"id": "da3e0ed850672cc115d6390b783c45760006956e", "title": "USULAN PERBAIKAN KUALITAS PRODUK PIPA BAJA LAS SPIRAL MENGGUNAKAN METODE SIX SIGMA BERDASARKAN DESIGN OF EXPERIMENT (DOE) DI PT. XYZ", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/da3e/0ed850672cc115d6390b783c45760006956e.pdf"], "doi": []}, {"id": "c893c34eaeb71a5156b55f6a75546e22e5d3c8cc", "title": "OPTIMASI DIAMETER JARINGAN PIPA DALAM SISTEM PENYEDIAAN AIR BERSIH (PDAM) DI KEC. BULULAWANG KAB. MALANG MENGGUNAKAN LINEAR PROGRAMMING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c893/c34eaeb71a5156b55f6a75546e22e5d3c8cc.pdf"], "doi": []}, {"id": "5b8402207c63e252ea6dc36c18282b5f0439a24c", "title": "Perbandingan Penggunaan Topikal Spray Benzidamin HCl 0,15% dan Gel Lidokain 2% pada Pipa Endotrakeal terhadap Kejadian Nyeri Tenggorok Pascaintubasi Endotrakeal", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b84/02207c63e252ea6dc36c18282b5f0439a24c.pdf"], "doi": []}, {"id": "c6011da80ccf3e8962af5e89cf68174741f2024d", "title": "Improving Spatial Resolution of Raman DTS Using Total Variation Deconvolution", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7431976"]}, {"id": "33d504a7d722f3364d013d79c706472e847bf9c6", "title": "Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.dsp.2015.09.009"]}, {"id": "f9cf08cc86c27f9cfd3741ef61d33a23405233dc", "title": "Thermal Imaging of Hydroelectric Generator Stator Using a DTS System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226789"]}, {"id": "0b43e67d9b719834d81f9a90006930192c0dd446", "title": "Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for Sparse Reconstructions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914650"]}, {"id": "2a53973a7c9c406f80f2723ea326621c3ffdbaf8", "title": "Impact of Routine Fractional Flow Reserve Evaluation During Coronary Angiography on Management Strategy and Clinical Outcome: One-Year Results of the POST-IT.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c2d7/f369b0490a7e1dabd69aea510c1c3ccd4ddb.pdf"], "doi": []}, {"id": "59ffed5fe8ec66d88ec9c20c4aae8b273dddde35", "title": "Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00737", "https://www.ncbi.nlm.nih.gov/pubmed/25826022", "https://www.wikidata.org/entity/Q50591832"]}, {"id": "a9a2dba14036f3c0a83348a4e510a8b3bdf9ed1a", "title": "EFISIENSI NATRIUM SILIKAT (Na2SiO3) HASIL EKSTRAKSI DARI LUMPUR LAPINDO SEBAGAI INHIBITOR KOROSI PADA PIPA DUCTILE CAST IRON DI LINGKUNGAN AIR LAUT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9a2/dba14036f3c0a83348a4e510a8b3bdf9ed1a.pdf"], "doi": []}, {"id": "a3a793acf9011ed725e5d29b04a33ed726555284", "title": "Penerapan Persamaan Navier-Stokes Untuk Kasus Aliran Fluida Laminer Pada Pipa Tidak Horizontal Application of Navier-Stokes Equations To Laminar Fluid Flow Case In Unhorizontal Pipe", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a3a7/93acf9011ed725e5d29b04a33ed726555284.pdf"], "doi": []}, {"id": "c0f7a3560ddc0971a07fabc24eef2923aa0c2c4f", "title": "Bach , or Busoni ?-How insightful fingering options may enlighten the original spirit of the Chaconne in D minor by Lu\u00eds Pipa", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c0f7/a3560ddc0971a07fabc24eef2923aa0c2c4f.pdf"], "doi": []}, {"id": "90935ceacbaa6c28851053cfa99530badfc55b5b", "title": "Pengaruh Katup Ekspansi Termostatik Dan Pipa Kapiler Terhadap Temperatur Dan Tekanan Pada Mesin Pendingin Siklus Kompresi Uap Menggunakan Refrigeran HCR-134A", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9093/5ceacbaa6c28851053cfa99530badfc55b5b.pdf"], "doi": []}, {"id": "e3706a34aed7814c0a4d2a8ff1386da366e8f5f4", "title": "ANALISIS KERUSAKAN PIPA BAFFLE PADA SISTEM HEAT EXCHANGER SUATU PROSES TRANSFER PANAS[Failure Analysis of Baffle Tube on Heat Exchanger System in Heat Transfer Process]", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e370/6a34aed7814c0a4d2a8ff1386da366e8f5f4.pdf"], "doi": []}, {"id": "3fbab1d324c3f2775357ee57aea23544734c67c4", "title": "Creencias y actitudes de adolescentes espan\u0303oles hacia el consumo de tabaco en pipa de agua Beliefs and attitudes of spanish adolescents regarding waterpipe smoking", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4606/e8d76a63d4b4e1bdfe0f4236d406c96e38f6.pdf"], "doi": []}, {"id": "2c9e8b3774b17114b749b92cb805c8b67f1ce932", "title": "The Program for the Prevention of Childhood Asthma: a specialized care program for children with wheezing or asthma in Brazil.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2c9e/8b3774b17114b749b92cb805c8b67f1ce932.pdf"], "doi": []}, {"id": "b9b7688ab8fe5654913afffc64511d1911c2cf08", "title": "Precipitant induced porosity augmentation of polystyrene preserves the chondrogenicity of human chondrocytes.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27490738", "https://doi.org/10.1002/jbm.a.35853"]}, {"id": "b63d06e096ea32865ec08f674f8d6c52ed51b9d8", "title": "PENGARUH PEMANASAN BAHAN BAKAR MELALUI PIPA TEMBAGA BERSIRIP RADIAL DI DALAM UPPER TANK RADIATOR DAN PENAMBAHAN ETANOL PADA BAHAN BAKAR TERHADAP EMISI GAS BUANG CO DAN HC MOBIL SUZUKI APV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b63d/06e096ea32865ec08f674f8d6c52ed51b9d8.pdf"], "doi": []}, {"id": "2b15d8074f3d1690d127684b1dd03c517f7ee47a", "title": "PENGARUH PEMANASAN BAHAN BAKAR BENSIN MELALUI PIPA KAPILER BERSIRIP TRANSVERSAL DI DALAM UPPER TANK RADIATOR DAN PUTARAN MESIN TERHADAP EMISI GAS BUANG CO DAN HC PADA MOBIL TOYOTA CORONA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2b15/d8074f3d1690d127684b1dd03c517f7ee47a.pdf"], "doi": []}, {"id": "069853c8d0cc1b35c2e36bdbb897d85b86f163a6", "title": "Putative invasive pulmonary aspergillosis in critically ill patients with chronic obstructive pulmonary disease: a matched cohort study.", "year": "2015", "pdf": ["https://ccforum.biomedcentral.com/track/pdf/10.1186/s13054-015-1140-1?site=ccforum.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26631029", "https://doi.org/10.1186/s13054-015-1140-1"]}, {"id": "a6910ac5716543e4206f8a71b5270d4ddf64145f", "title": "banyak digunakan untuk berbagai komponen permesinan: impeller pompa, bantalan, pipa. perabotan rumah tangga. Berbagai upaya telah dilakukan untuk mengurangi dampak korosi terhadap baja tersebut dan umumnya masyarakat cendrung memilih cat sebagai pelindung. Melapis baja dan kuningan dengan logam non ", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a691/0ac5716543e4206f8a71b5270d4ddf64145f.pdf"], "doi": []}, {"id": "8aca39c5dcef4a39f0a0abf0e49a0863abbd4deb", "title": "The diversity and evolution of anuran skin peptides", "year": "2015", "pdf": ["https://uol.de/fileadmin/user_upload/biologie/ag/systematik/download/Publications/Papers/peptideDiversity.pdf", "https://www.uni-oldenburg.de/fileadmin/user_upload/biologie/ag/systematik/download/Publications/Papers/peptideDiversity.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978114003295?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2014.11.003", "https://www.ncbi.nlm.nih.gov/pubmed/25464160"]}, {"id": "11c5b33a4c9ea4b6027ab5661d5bf1f675708dc4", "title": "State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00828", "https://www.ncbi.nlm.nih.gov/pubmed/26942749", "https://www.wikidata.org/entity/Q41529942"]}, {"id": "e663920ef9fa493a51b7481dc011777ce15acc14", "title": "Engaging stakeholders: lessons from the use of participatory tools for improving maternal and child care health services", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0271-z?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297336", "https://doi.org/10.1186/s12961-017-0271-z"]}, {"id": "04faa337b60e88515cc17de27f34af2c32b6f247", "title": "Endoscopic-Assisted Posterior Intradural Petrous Apicectomy in Petroclival Meningiomas: A Clinical Series and Assessment of Perioperative Morbidity.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26210709", "https://doi.org/10.1016/j.wneu.2015.07.033"]}, {"id": "c7c97ed2216178da69515fa1f27d151bb89aef25", "title": "Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1126/scitranslmed.aaf6219", "https://www.ncbi.nlm.nih.gov/pubmed/27384348"]}, {"id": "762cb4cb85cb008a0a761c9426b88d80df2674c0", "title": "Multiple successional pathways in human-modified tropical landscapes: new insights from forest succession, forest fragmentation and landscape ecology research.", "year": "2017", "pdf": ["http://www.iies.unam.mx/laboratorios/ecologia-manejo-bosques-tropicales/wp-content/uploads/2016/09/Arroyo-Rodriguez_et_al_Biological_Reviews.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26537849", "https://doi.org/10.1111/brv.12231"]}, {"id": "58893160f547a60f99f326c873ce3b445d5101f7", "title": "Performance variation in motor imagery brain\u2013computer interface: A brief review", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015000400?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.jneumeth.2015.01.033", "https://www.ncbi.nlm.nih.gov/pubmed/25668430"]}, {"id": "bdd6d98f9ff90830d89db8e2f08f5076b118d31d", "title": "Making waves: The science and politics of ocean protection", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1126/science.aad5443", "https://www.ncbi.nlm.nih.gov/pubmed/26472764"]}, {"id": "ad432217ceb8bb00f60e1657839f724585f3b49a", "title": "Communication through coherence with inter-areal delays", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438814002165", "https://doi.org/10.1016/j.conb.2014.11.001", "https://www.ncbi.nlm.nih.gov/pubmed/25460074"]}, {"id": "8792f75252a22022016e8bcd3e84ec6de8c7480a", "title": "The temporal paradox of Hebbian learning and homeostatic plasticity", "year": "2017", "pdf": ["http://fzenke.net/wp-content/uploads/preprints/2017-temporal_paradox-preprint_v3.pdf", "http://icwww.epfl.ch/~gerstner/PUBLICATIONS/Zenke17.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438817300910?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.conb.2017.03.015", "https://www.ncbi.nlm.nih.gov/pubmed/28431369"]}, {"id": "0e4e4360a361df23a890bca6f3d9b100e7722a49", "title": "Plasmonic Metasurface for Directional and Frequency-Selective Thermal Emission", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0e4e/4360a361df23a890bca6f3d9b100e7722a49.pdf"], "doi": []}, {"id": "7b738415fa91a6c640bfc2b4d23ad458ceb19f48", "title": "A peer-to-peer approach to energy production", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7b73/8415fa91a6c640bfc2b4d23ad458ceb19f48.pdf"], "doi": []}, {"id": "e4e5581780967fddfefbff35794a206e239f6e22", "title": "Peptidomic analysis of skin secretions of the Mexican burrowing toad Rhinophrynus dorsalis (Rhinophrynidae): Insight into the origin of host-defense peptides within the Pipidae and characterization of a proline-arginine-rich peptide", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978117302954?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2017.09.012", "https://www.ncbi.nlm.nih.gov/pubmed/28951157"]}, {"id": "cb55a62a809ed7343da15b1ac001e45d14b88abe", "title": "Stage-dependent behavioural changes but early castration induced by the acanthocephalan parasite Polymorphus minutus in its Gammarus pulex intermediate host.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28831959", "https://doi.org/10.1017/S0031182017001457"]}, {"id": "0997f95691073dfc5bb9d69d225d7541791792f1", "title": "Circulating RNAs as new biomarkers for detecting pancreatic cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26229396", "https://doi.org/10.3748/wjg.v21.i28.8527"]}, {"id": "44f2fa3b2b6dc991b8d814c05d771d6dc7359c87", "title": "A microRNA signature in circulating exosomes is superior to exosomal glypican-1 levels for diagnosing pancreatic cancer", "year": "2017", "pdf": ["https://scholarworks.iupui.edu/bitstream/handle/1805/13821/nihms854566.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28232049", "https://doi.org/10.1016/j.canlet.2017.02.019"]}, {"id": "24a27f15b9b429a9bcaed8f6072bf5c80e8ff8c1", "title": "Reversible data hiding: Advances in the past two decades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479451"]}, {"id": "ef148b38ee53fdc2517826bef8302b512f570ef4", "title": "Micro-connectomics: probing the organization of neuronal networks at the cellular scale", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/nrn.2016.182", "https://www.ncbi.nlm.nih.gov/pubmed/28148956"]}, {"id": "4488fa33cd506a5e13736f7db4ddfe67f76c268a", "title": "Droplet-based microfluidics in drug discovery, transcriptomics and high-throughput molecular genetics.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9227/bbd221c0cffd5806800815ef1edb97d30d45.pdf"], "doi": []}, {"id": "d4fa14c6f29f191385292e8205fcc1bf95933a57", "title": "Large T and small T antigens of Merkel cell polyomavirus.", "year": "2015", "pdf": ["http://tumorvirology.pitt.edu/wp-content/uploads/2015/02/nihms683808.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25681708", "https://doi.org/10.1016/j.coviro.2015.01.009"]}, {"id": "7d482684699bb5ea45cfbfa5d086c939dc675e3e", "title": "Glutamine Synthetase activity fuels nucleotide biosynthesis and supports growth of glutamine-restricted glioblastoma", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~ruppin/ncb_glutamine.pdf", "https://sure.sunderland.ac.uk/6005/1/Shafiq%20Ahmed%20NCB%20manuscript.pdf"], "doi": ["https://doi.org/10.1038/ncb3272", "https://www.ncbi.nlm.nih.gov/pubmed/26595383"]}, {"id": "607b3b5b0022ac23097d608cd14ef1a5bf23ca12", "title": "Trends in Primary Proximal Interphalangeal Joint System and Revisions for Osteoarthritis of the Hand in the Medicare Database.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30895813", "https://doi.org/10.1177/1558944719837009"]}, {"id": "002d2fd1afc5a2cb0c298cfbb0dd47e3fd3ba5d3", "title": "Intradermal injection of Pythium insidiosum protein antigens for improved diagnosis and treatment of pythiosis in an experimental model.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30260397", "https://doi.org/10.1093/mmy%2Fmyy078"]}, {"id": "5f69a29144e6f2fa57bfaa373775e19aa0076a4c", "title": "Proximal Interruption of the Pulmonary Artery.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30376479", "https://doi.org/10.1097/rti.0000000000000373"]}, {"id": "7471eccb264ebca7ebfd8845aa84a3bad9c47d0f", "title": "Environmental risk assessment of cobalt and manganese from industrial sources in an estuarine system.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28861663", "https://doi.org/10.1007/s10653-017-0020-9"]}, {"id": "4cad181fc771bf493fc246d84d79f6328960f968", "title": "\"We Had a Beautiful Home . . . But I Think I'm Happier Here\": A Good or Better Life in Residential Aged Care.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26035883", "https://doi.org/10.1093/geront%2Fgnu169"]}, {"id": "c0b72663afbac482233684f9991cc411824d26d6", "title": "Family Reflections on Our Amazing Journey with Dad-Professor Rhoton.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27318312", "https://doi.org/10.1016/j.wneu.2016.06.038"]}, {"id": "7029e98eff8173148c26200915986baa16192149", "title": "Parasitoid wasp usurps its host to guard its pupa against hyperparasitoids and induces rapid behavioral changes in the parasitized host", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7029/e98eff8173148c26200915986baa16192149.pdf"], "doi": []}, {"id": "e0e502d95efa97533c89c2c0621fd7269bb3d495", "title": "A Family of Salmonella Type III Secretion Effector Proteins Selectively Targets the NF-\u03baB Signaling Pathway to Preserve Host Homeostasis.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e0e5/02d95efa97533c89c2c0621fd7269bb3d495.pdf"], "doi": []}, {"id": "41b1f2b46ef1f24f2ad21c7f099c8dcc0aba040d", "title": "Shipboard design and fabrication of custom 3D-printed soft robotic manipulators for the investigation of delicate deep-sea organisms", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0651/ebf243de458208ea334ee4af6014180aa528.pdf"], "doi": []}, {"id": "a73fdd6805609e4c6f99dd1892b46d044e5659bf", "title": "Some Info on Info Theory", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f525/0c6f836ebe7ce86e6ad38c5f885abe37b0a1.pdf"], "doi": []}, {"id": "e03f84ed63655b3d8d5b9395038bc5f90431989c", "title": "Unjuk Kerja Kolektor Surya Pelat Datar Aliran Paralel", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e03f/84ed63655b3d8d5b9395038bc5f90431989c.pdf"], "doi": []}, {"id": "a8e14753b6289dfc246ec0adf1bdb04fbeae0a38", "title": "Computations of electrical parameters of untransposed overhead lines", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161170"]}, {"id": "b523302a2c78353e67f0069193f68690079f3521", "title": "Assessment of usability of armoured single-core low voltage power cables", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161168"]}, {"id": "168f4a5e56765b8db188b3baa4ec268d4ba7deb6", "title": "Joint subsample time delay and echo template estimations for ultrasound signals", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081658"]}, {"id": "7fcce73bce563fc5f43dc133a87455bfedd6e64d", "title": "Displasia del desarrollo de la cadera en ni\u00f1os con trastorno psicomotor. \u00bfFactor de riesgo para un mal resultado?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fcc/e73bce563fc5f43dc133a87455bfedd6e64d.pdf"], "doi": []}, {"id": "c6cda77d2e4366567009ec33a685966095308417", "title": "Super-resolution algorithm applied in thermal imaging of hydroelectric generators stator using hybrid sensing with DTS and FBG", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7369058"]}, {"id": "dcb50f9b6dc8b2a76acc36d6bcf97b4f90a76079", "title": "A blind deconvolution approach to discontinuity location and characterization in ultrasonic nondestructive testing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081660"]}, {"id": "87db784cb12e3c6428f1887d9b1c2ea3a7ca8310", "title": "Readmissions due to acute biliary edematous pancreatitis in patients without cholecystectomy.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27444192", "https://doi.org/10.17235/reed.2016.4067%2F2015"]}, {"id": "5f0e25e1b0bc9ba0b6c6da0e8287121d57679c07", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28599117", "https://doi.org/10.1162/NECO_a_00987"]}, {"id": "faa0aa8f099de54a0a998f7d8dbad1ed54ca5a9d", "title": "Omega-3 Fatty Acids Reduce Inflammation in Rat Apical Periodontitis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29397217", "https://doi.org/10.1016/j.joen.2017.12.008"]}, {"id": "27962824aa6b0fdcb7c804504bdd266990013e94", "title": "A conservative strategy in non-ST-segment elevation myocardial infarction - constraints and prognosis: The situation in Portugal.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25935075", "https://doi.org/10.1016/j.repc.2014.10.006"]}, {"id": "914c1666e0ded7e89c65f947fbe8e32faab99c4c", "title": "Rats with Apical Periodontitis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/914c/1666e0ded7e89c65f947fbe8e32faab99c4c.pdf"], "doi": []}, {"id": "8760f6723d251a503fc4f8246b18e2fe0d92fa00", "title": "Diagnostics of medium-voltage motors", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161156"]}, {"id": "1d619eb5872e556587f9e55284aee8a41078a57e", "title": "Adaptive time corrected gain for ultrasound through time-varying Wiener deconvolution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081657"]}, {"id": "fc6d1b59fa61ac68d69f1a89ef7a7cade9cfc60f", "title": "Assessment and Comparison of the Four Most Extensively Validated Prognostic Scales for Intracerebral Hemorrhage: Systematic Review with Meta-analysis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30426449", "https://doi.org/10.1007/s12028-018-0633-6"]}, {"id": "91539e6d466721c46a7b0a2477d0ae68808943c3", "title": "Omega 3 Fatty Acids Reduce the Triglyceride Levels in Rats with Apical Periodontitis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29898064", "https://doi.org/10.1590/0103-6440201801702"]}, {"id": "5a6dd505b6ddffd1701b6257f9d0aeabfe24fd0a", "title": "Original Intracerebral Hemorrhage Score for the Prediction of Short-Term Mortality in Cerebral Hemorrhage: Systematic Review and Meta-Analysis.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30889025", "https://doi.org/10.1097/ccm.0000000000003744"]}, {"id": "a8bce5a03676f5603ded1de99a2f0486b42d9a2c", "title": "[Irritable Bowel Syndrome; gut microbiota and probiotic therapy].", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25659060", "https://doi.org/10.3305/nh.2015.31.sup1.8713"]}, {"id": "2f03276d7e4e8915ae1b247ce0d5297adbcb9297", "title": "Event recognition in photo albums using probabilistic graphical model and feature relevance", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900063"]}, {"id": "0c94a24c564ee36b3ae311060dc02e79cfc71be7", "title": "Multi-Query Augmentation-Based Web Landmark Photo Retrieval", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1093/comjnl%2Fbxv033", "https://doi.org/10.1093/comjnl/bxv033"]}, {"id": "f393440a6918ff26747649d6738dfb7b86215f45", "title": "Context-aware clustering and assessment of photo collections", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092916"]}, {"id": "4c88852867ee99f84305ba2568d7f9e8f5e9564b", "title": "Using Photo Similarity and Weighted Graphs for the Temporal Synchronization of Event-Centered Multi-User Photo Collections", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2815246"]}, {"id": "c86716de32aaa0c9bce6f711b67c76c9fcecbb85", "title": "Aesthetic Critiques Generation for Photos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237642"]}, {"id": "677fc4abdae996e0f2fab8f7d94d7bb4f2aa8b69", "title": "VISION: a video and image dataset for source identification", "year": "2017", "pdf": ["https://jis-eurasipjournals.springeropen.com/track/pdf/10.1186/s13635-017-0067-2?site=jis-eurasipjournals.springeropen.com"], "doi": ["https://doi.org/10.1186/s13635-017-0067-2"]}, {"id": "f3ad63fb5b5fdb71d7a3e6b7e5910eb423e2d5be", "title": "Time and space for segmenting personal photo sets", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3341-2", "https://www.wikidata.org/entity/Q56529128"]}, {"id": "25ac0583e2b412820ca3fbf71ad0bbde1d9e0465", "title": "Visualizing Big Hierarchical Datasets on Concentric Rings", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7463804"]}, {"id": "0e699051124f54c9f78e8e46b5fd25af2578388c", "title": "More Photos From Me to Thee: Factors Influencing the Intention to Continue Sharing Personal Photos on an Online Social Networking (OSN) Site among Young Adults in the Netherlands", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e69/9051124f54c9f78e8e46b5fd25af2578388c.pdf"], "doi": []}, {"id": "2735ef3ef8f57bca14eae30f61a62e5fee4b5abe", "title": "Fast Simultaneous People Detection and Re-identification in a Single Shot Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639489"]}, {"id": "644b0f9d96c0f4bd69e282b90aa317ae09ef191e", "title": "Synthesized computational aesthetic evaluation of photos", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.12.106"]}, {"id": "169b25b32adb8de9e7d0a6be623bf22acb6169d2", "title": "Portrait of a Privacy Invasion Detecting Relationships Through Large-scale Photo Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/169b/25b32adb8de9e7d0a6be623bf22acb6169d2.pdf"], "doi": []}, {"id": "ec8eed4859c9849214c5d20a18739ca3d680a88d", "title": "Event-centric management of personal photos", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ec8e/ed4859c9849214c5d20a18739ca3d680a88d.pdf"], "doi": []}, {"id": "ada5d1c200138a37386b462c6b4672df2ed7a6e5", "title": "Sub-event recognition and summarization for structured scenario photos", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3346-x"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "9db355c2c9e9561cfcef9f8e1820bfef63cb80e4", "title": "Show and Tell : A Neural Image Caption Generator", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9db3/55c2c9e9561cfcef9f8e1820bfef63cb80e4.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "377e54d4f662659b1f4333cd9bdb5fdb62b55429", "title": "An Efficient Face Photo Clustering From User Feedback through Query Generation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/377e/54d4f662659b1f4333cd9bdb5fdb62b55429.pdf"], "doi": []}, {"id": "146f6f6ed688c905fb6e346ad02332efd5464616", "title": "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.03044.pdf"], "doi": []}, {"id": "de37b18a1f5640115de67179c02333df5a81270e", "title": "Transgender Identity Development in a Rural Area: A Multiple Case Study of Trans-Identified People", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/de37/b18a1f5640115de67179c02333df5a81270e.pdf"], "doi": []}, {"id": "1cd3de0537df6aac957c7b7b5507fc3796788814", "title": "Implementation of Lossless Compression Method for JPEG Coded Photo Collection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1cd3/de0537df6aac957c7b7b5507fc3796788814.pdf"], "doi": []}, {"id": "dde9fb2d6f8abc184329615c4ac0a1c43f9ca600", "title": "Accumulative image categorization: a personal photo classification method for progressive collection", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6152-9"]}, {"id": "9d0e011f8da2abdf2907c76133b138e6d945d7b4", "title": "Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d0e/011f8da2abdf2907c76133b138e6d945d7b4.pdf"], "doi": []}, {"id": "cc801f9894e9d87716662330e4c953f33560122d", "title": "A knowledge based architecture for the virtual restoration of ancient photos", "year": "2018", "pdf": ["https://iris.unipa.it/retrieve/handle/10447/242354/453346/1-s2.0-S0031320317303837-main.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2017.09.031"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "e3e6fadf6be1471eac47079d5a8596fa39ba5516", "title": "Social Information Filtering : Algorithms for Automating \u201c Word of Mouth , \u201d", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3e6/fadf6be1471eac47079d5a8596fa39ba5516.pdf"], "doi": []}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "15febdd39e91718cba8a67bee2fce42ffae59668", "title": "A Hierarchical Approach for Generating Descriptive Image Paragraphs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099839"]}, {"id": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.pdf"], "doi": []}, {"id": "923ede53b0842619831e94c7150e0fc4104e62f7", "title": "Masked correlation filters for partially occluded face recognition", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001293.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471885", "http://doi.org/10.1109/ICASSP.2016.7471885"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}, {"id": "24f95cc73758d870706fe8ab590d477b9dd2b791", "title": "Unsupervised Clickstream Clustering for User Behavior Analysis", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2858107"]}, {"id": "1fcab2dde46dfedb98482043122db541c5c6daff", "title": "Scalable Mobile Image Retrieval by Exploring Contextual Saliency", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7056555"]}, {"id": "590628a9584e500f3e7f349ba7e2046c8c273fcf", "title": "Generating Natural Questions About an Image", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06059.pdf"], "doi": []}, {"id": "37d579112296384603c61150d8bf78fc588424f1", "title": "Learning to Select and Order Vacation Photographs", "year": "2015", "pdf": ["http://cs.brown.edu/people/ls/Publications/wacv2015sadeghi.pdf", "http://grail.cs.washington.edu/wp-content/uploads/2015/09/fsadeghi2015lts.pdf", "http://www.disneyresearch.com/wp-content/uploads/Learning-to-Select-and-Order-Vacation-Photographs-Paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150105190555/Learning-to-Select-and-Order-Vacation-Photographs-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045928", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.74", "http://doi.org/10.1109/WACV.2015.74"]}, {"id": "09b1ce14bb41b10a3e80a721f9e6b8389d0390fd", "title": "Steganography in Modern Smartphones and Mitigation Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6884798"]}, {"id": "ed416bf3e3a5d8e1259415eafa9ae20caf25c870", "title": "Local-global ranking for facial expression intensity estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273587", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273587", "http://doi.org/10.1109/ACII.2017.8273587"]}, {"id": "135011a60231e6794378241c9fb825feb6b58e0b", "title": "Fungal diversity notes 491\u2013602: taxonomic and phylogenetic contributions to fungal taxa", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s13225-017-0378-0"]}, {"id": "09d8c49197a885299bd18fdce9764ed66187b83d", "title": "How to predict the global instantaneous feeling induced by a facial picture", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2015.04.002", "https://hal.archives-ouvertes.fr/hal-01198718/document"]}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "9ec3a2af6cbee57cd337b5f46a2792aace196e78", "title": "Emotional and Social Signals: A Neglected Frontier in Multimedia Computing?", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1109/MMUL.2015.37", "http://doi.ieeecomputersociety.org/10.1109/MMUL.2015.37"]}, {"id": "6def75ab8add5a87ac91503817655abbbc34eef5", "title": "A stochastic approach to group recommendations in social media systems", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.is.2014.10.002"]}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"], "doi": []}, {"id": "6dd94ad90672c472f9c64d2e5fdebe1c403859c5", "title": "Choosing face: The curse of self in profile image selection", "year": "2017", "pdf": ["https://cognitiveresearchjournal.springeropen.com/track/pdf/10.1186/s41235-017-0058-3?site=cognitiveresearchjournal.springeropen.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28470036", "https://doi.org/10.1186/s41235-017-0058-3"]}, {"id": "37278ffce3a0fe2c2bbf6232e805dd3f5267eba3", "title": "Can we still avoid automatic face detection?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04504.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "408ae8102635987204ba5fa53e1e6fd2146cde22", "title": "Personalized Image Aesthetics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237338"]}, {"id": "f66858a6b54afadb32c1c1dd9bd8a886d3b45a07", "title": "Automatic Control / Block Over User Comments on Online Social Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f668/58a6b54afadb32c1c1dd9bd8a886d3b45a07.pdf"], "doi": []}, {"id": "771decdd4fd805963bfbde6c96c337088c7cd186", "title": "Fingerprinting Mobile Devices Using Personalized Configurations", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/771d/ecdd4fd805963bfbde6c96c337088c7cd186.pdf"], "doi": []}, {"id": "499d4cd6fd3dd706d8e0c0daa38e1b9b630e3ace", "title": "Enhancing Video Surveillance with Usage Control and Privacy-Preserving Solutions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/342b/c803f000b6b1250e9790150e6c1f62d25095.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "6e35585eb37ee8a1de60a10a56a3183af480e214", "title": "The YLI-MED Corpus: Characteristics, Procedures, and Plans", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.04250.pdf"], "doi": []}, {"id": "eec97972c150c0d95a7a7d00f2ab83908e8f5401", "title": "Decentralizing the Semantic Web through Incentivized Collaboration", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eec9/7972c150c0d95a7a7d00f2ab83908e8f5401.pdf"], "doi": []}, {"id": "54311551def9ba4a9fc9c57e6b3269329f3d76e3", "title": "Event analysis in social multimedia: a survey", "year": "2015", "pdf": ["http://www.eurecom.fr/en/publication/4594/download/mm-publi-4594.pdf"], "doi": ["https://doi.org/10.1007/s11704-015-4583-2"]}, {"id": "cb131e32ddd3965acb619e4a3b7f7b5cc1100074", "title": "Arabic sentiment polarity identification using a hybrid approach", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7103218"]}, {"id": "e9e5e77ce1b08c3d80501e6b99d54b7468c1c17e", "title": "Exploring music rankings with interactive visualization", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3019690"]}, {"id": "0c490685724ecad42a630b0d742f8f1f79c67326", "title": "Focal Visual-Text Attention for Memex Question Answering.", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0c49/0685724ecad42a630b0d742f8f1f79c67326.pdf"], "doi": []}, {"id": "154c22ca5eef149aedc8a986fa684ca1fd14e7dc", "title": "Movie Description", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03705.pdf"], "doi": []}, {"id": "641ed032fc5b69eb14cdd462410ebe05f9dcbfc7", "title": "Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/641e/d032fc5b69eb14cdd462410ebe05f9dcbfc7.pdf"], "doi": []}, {"id": "68db84a017ec3290c3bdfcc16823b376be08b9ea", "title": "A Collision of Beliefs: Investigating Linguistic Features for Religious Conflicts Identification on Tumblr", "year": "2017", "pdf": ["http://www.robo-paathshaala.in/ashish/ICDCIT-2017-PRESENTATION.pdf", "http://www.robo-paathshaala.in/ashish/ICDCIT-2017.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-50472-8_4"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/tiny_faces.json b/site/datasets/unknown/tiny_faces.json index 2f43f40f..34f596e4 100644 --- a/site/datasets/unknown/tiny_faces.json +++ b/site/datasets/unknown/tiny_faces.json @@ -1 +1 @@ -{"id": "8990cdce3f917dad622e43e033db686b354d057c", "citations": [{"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}]} \ No newline at end of file +{"id": "8990cdce3f917dad622e43e033db686b354d057c", "citations": []} \ No newline at end of file diff --git a/site/datasets/unknown/uccs.json b/site/datasets/unknown/uccs.json index c65d6722..4ecad1e3 100644 --- a/site/datasets/unknown/uccs.json +++ b/site/datasets/unknown/uccs.json @@ -1 +1 @@ -{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "citations": [{"id": "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "title": "Large Variability Surveillance Camera Face Database", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579704"]}, {"id": "e94c2c9be4abd121d3d601bfff27edf35f3514ad", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "year": "2019", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "ec9f2c62baebfb96e8e69596b12f25011e35ae47", "title": "Interpretation Rules and Good Faith as Obstacles to the UK ' s Ratification of the CISG and to the Harmonization of Contract Law in Europe", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ec9f/2c62baebfb96e8e69596b12f25011e35ae47.pdf"], "doi": []}, {"id": "449ec968566a7f46192a6af8a4c5ee127c5bf1e4", "title": "Scanning the Science-Society Horizon", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/449e/c968566a7f46192a6af8a4c5ee127c5bf1e4.pdf"], "doi": []}, {"id": "c26016dd1bce7048ea511413e4e01a19116ca0d7", "title": "Representation and generalization in autonomous reinforcement learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c260/16dd1bce7048ea511413e4e01a19116ca0d7.pdf"], "doi": []}, {"id": "faa27bfb44f775975f40900457df73587164f4fe", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/btas.2017.8272731"]}, {"id": "91844097804b8875731c0ae51e5986552c992f91", "title": "Intentions to seek counseling in first-generation and continuing-generation college students.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9184/4097804b8875731c0ae51e5986552c992f91.pdf"], "doi": []}, {"id": "01e851ac46b059ab3a3d94da8d2a38c1a9996726", "title": "Excessive use of WeChat, social interaction and locus of control among college students in China", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/01e8/51ac46b059ab3a3d94da8d2a38c1a9996726.pdf"], "doi": []}, {"id": "4d6cf87596fc2dfe0b8ba58286be65dcf08aa248", "title": "Psychological Help-seeking Intentions among Filipino College Students Across Three Common Problem Areas : A Replication Study", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d6c/f87596fc2dfe0b8ba58286be65dcf08aa248.pdf"], "doi": []}, {"id": "5e92cc96e8e5c00dcaffc87512e9fd7213acb5bf", "title": "Identity Processes and Intrinsic and Extrinsic Goal Pursuits: Directionality of Effects in College Students.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28039564", "https://doi.org/10.1007/s10964-016-0626-8"]}, {"id": "5309e88ae3da04eca9b2b052281bac63c606ad7b", "title": "Cognitive reappraisal and expressive suppression: Links to racial-ethnic discrimination and adjustment among Latino/a and Asian-heritage college students.", "year": "2016", "pdf": ["http://www.csun.edu/~qhuynh/Research_files/JA2016.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27598799", "https://doi.org/10.1016/j.adolescence.2016.08.012"]}, {"id": "1e5d11552550f455440a2cfa34ba071cb2e0be2d", "title": "Knowledge of HIV / AIDS , attitudes towards sexual risk behaviour and perceived behavioural control among college students in Botswana", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1e5d/11552550f455440a2cfa34ba071cb2e0be2d.pdf"], "doi": []}, {"id": "8164adef945207810ed22e59b63695ac93b7f463", "title": "Evaluating the invariance of the Multigroup Ethnic Identity Measure across foreign-born, second-generation and later-generation college students in the United States.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8164/adef945207810ed22e59b63695ac93b7f463.pdf"], "doi": []}, {"id": "e3fc33b0d4c4df8510aacdb82a74d05a26c65c5b", "title": "AGE , ATTENTION , AND OTS IN A CONSTRAINED VS UNCONSTRAINED TASK", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3fc/33b0d4c4df8510aacdb82a74d05a26c65c5b.pdf"], "doi": []}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "dbf809ff1beeb9fc5c09c5c0e3e2aac0cf48e957", "title": "Demand Estimation in the College Admissions \u2019 Problem : Should We Assume Truth Telling ?", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbf8/09ff1beeb9fc5c09c5c0e3e2aac0cf48e957.pdf"], "doi": []}, {"id": "0626908dd710b91aece1a81f4ca0635f23fc47f3", "title": "Rethinking the Inception Architecture for Computer Vision", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780677"]}, {"id": "27be15ddbb17af93157d01a6eab0f5f21c0d6d6b", "title": "USING INFORMATION TO IMPROVE COURSE SCHEDULES 1 Using Information on Unconstrained Student Demand To Improve University Course Schedules", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27be/15ddbb17af93157d01a6eab0f5f21c0d6d6b.pdf"], "doi": []}, {"id": "c8429becfbc39156c42833171627136033837a0a", "title": "The reasoned/reactive model: A new approach to examining eating decisions among female college dieters and nondieters.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27448513", "https://doi.org/10.1016/j.eatbeh.2016.07.011"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "68d5de86745910727b910573ba1b829afc13da8b", "title": "Affirming independence: Exploring mechanisms underlying a values affirmation intervention for first-generation students.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bde6/ff6089722c8e8f18f9879d73bb9f1ffa85bc.pdf"], "doi": []}, {"id": "16b59b54be4c26b709e7339c59cd4a382b4add32", "title": "College Students' Plans for Graduate or Professional School: a Comparison of Different Racial and Ethnic Groups", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/16b5/9b54be4c26b709e7339c59cd4a382b4add32.pdf"], "doi": []}, {"id": "c0da9c4d66347b601fb678093e6fd1f25756d95f", "title": "A confirmatory factor analysis of the PTSD checklist 5 in veteran and college student samples", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28578182", "https://doi.org/10.1016/j.psychres.2017.05.035"]}, {"id": "6b9aa288ce7740ec5ce9826c66d059ddcfd8dba9", "title": "BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/BNU-LSVED-2.pdf"], "doi": ["http://doi.org/10.1016/j.image.2017.08.012"]}, {"id": "50a962be183d6772d3c26fe23e2fdf48017a8928", "title": "Factor structure and construct validity of the Generalized Anxiety Disorder 7-item (GAD-7) among Portuguese college students.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/50a9/62be183d6772d3c26fe23e2fdf48017a8928.pdf"], "doi": []}, {"id": "cae912870346e3a03ed40c94aa4a2d4e5fed514a", "title": "The Family System and Depressive Symptoms during the College Years: Triangulation, Parental Differential Treatment, and Sibling Warmth as Predictors.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27282554", "https://doi.org/10.1111/jmft.12175"]}, {"id": "cce502c753b80ca390665f8ef44d6b980b686dc8", "title": "Posttraumatic Stress, Coping Flexibility, and Risky Drinking Among Trauma-Exposed Male and Female College Students: The Mediating Effect of Delay of Gratification.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28857646", "https://doi.org/10.1080/10826084.2017.1342658"]}, {"id": "1acee01a3d5c33435b109c2d290bc32848080944", "title": "Stan: A Probabilistic Programming Language.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/70ae/78b587d23de70eeb024d708ed3981f1340ed.pdf"], "doi": []}, {"id": "e017d1926a7a2c3c7a21c2483db2ba013aa3dba2", "title": "Cross-validation of the Student Perceptions of Team-Based Learning Scale in the United States", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e017/d1926a7a2c3c7a21c2483db2ba013aa3dba2.pdf"], "doi": []}, {"id": "f6c8de941330197cc120aec69c2dc957b9da69b2", "title": "Statistical Parametric Mapping The Analysis Of Functional Brain Images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f6c8/de941330197cc120aec69c2dc957b9da69b2.pdf"], "doi": []}, {"id": "b42aca488af066746555983b6c1cbd1256a0025e", "title": "The Relation of Sleep, Distress, and Coping Strategies\u2014What Male and Female Students Can Learn from Each Other?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b42a/ca488af066746555983b6c1cbd1256a0025e.pdf"], "doi": []}, {"id": "688396e6355cd2b67ba50d90156c65d9e72ec3f6", "title": "College of Psychiatric and Neurologic Pharmacists Abstracts.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28726566", "https://doi.org/10.1177/0897190017708502"]}, {"id": "1fa1c38803b48dba3775da2f98409905cf4ac434", "title": "Assessing Learning Styles of Graduate Entry Nursing Students as a Classroom Research Activity: A quantitative research study.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27710825", "https://doi.org/10.1016/j.nedt.2016.09.016"]}, {"id": "4702183a1592c3517af66a20c498b426e670f875", "title": "Associations between students ' perceptions of physical education teachers ' interpersonal styles and students ' wellness , knowledge , performance , and intentions to persist at physical activity : A self-determination theory approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4702/183a1592c3517af66a20c498b426e670f875.pdf"], "doi": []}, {"id": "1d63668c2ce9b1d11dca4d266e46621a902539b3", "title": "Elite or middling? International students and migrant diversification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1d63/668c2ce9b1d11dca4d266e46621a902539b3.pdf"], "doi": []}, {"id": "8792c0b34d43c964b62f8cdaa915e0a6b1ca852c", "title": "Construction Research of MOOC-based O 2 O Teaching System for College English Cross-cultural Knowledge", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8792/c0b34d43c964b62f8cdaa915e0a6b1ca852c.pdf"], "doi": []}, {"id": "842bfd033461560c16bf1f879d3e18512d7da3e3", "title": "College Admissions in China : A Mechanism Design Perspective", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/842b/fd033461560c16bf1f879d3e18512d7da3e3.pdf"], "doi": []}, {"id": "5fd24d0aa5c5d376831c54b808fd49be33a02ada", "title": "College Admissions in China : A Mechanism Design Perspective", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5fd2/4d0aa5c5d376831c54b808fd49be33a02ada.pdf"], "doi": []}, {"id": "e3db77779d39ce621536b9a875785a0a436dbfe0", "title": "Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s40593-016-0131-y"]}, {"id": "f9b4d935c18a2ab55ad06e713fb9070194d90051", "title": "Weight-loss strategies of South African female university students and comparison of weight management-related characteristics between dieters and non-dieters", "year": "2016", "pdf": ["https://bmcpublichealth.biomedcentral.com/track/pdf/10.1186/s12889-016-3576-x"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27586376", "https://doi.org/10.1186/s12889-016-3576-x"]}, {"id": "628e62d492936515e88d4bd998fa36ba3f0daada", "title": "Entrepreneurship , College and Credit : The Golden Triangle", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/628e/62d492936515e88d4bd998fa36ba3f0daada.pdf"], "doi": []}, {"id": "0f0386faa6643b3fb11450ef2c54f293953b8601", "title": "More Gains Than Score Gains ? High School Quality and College Success", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f03/86faa6643b3fb11450ef2c54f293953b8601.pdf"], "doi": []}, {"id": "3cb3cb57f3bc8dda4e0468f0f890277b63b1d8cf", "title": "The Mizan meta-memory and meta-concentration scale for students (MMSS): a test of its psychometric validity in a sample of university students", "year": "2018", "pdf": ["https://bmcpsychology.biomedcentral.com/track/pdf/10.1186/s40359-018-0275-7"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30563573", "https://doi.org/10.1186/s40359-018-0275-7"]}, {"id": "89230c8b9a7a99993840033bd27a069b964bc7c4", "title": "The Realistic Predicament and Countermeasures of the Entrepreneurial Innovation Ability Training in Higher Vocational Students", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8923/0c8b9a7a99993840033bd27a069b964bc7c4.pdf"], "doi": []}, {"id": "bd8b480185008a565de0bf1e1954d9e67cf50b86", "title": "A computer vision based image processing system for depression detection among students for counseling Namboodiri", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bd8b/480185008a565de0bf1e1954d9e67cf50b86.pdf"], "doi": []}, {"id": "6f947d59e54b461fb24ceb1cbe5f377f2157730d", "title": "Service user involvement in giving mental health students feedback on placement: a participatory action research study", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f94/7d59e54b461fb24ceb1cbe5f377f2157730d.pdf"], "doi": []}, {"id": "654dcab1b2f3bddd3c57559143c8161cfe6be5e0", "title": "Acculturation and School Adjustment of Immigrant Youth in Six European Countries: Findings from the Programme for International Student Assessment (PISA)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d27/99fd40ea1fc5e87450afa5b67c61a9371261.pdf"], "doi": []}, {"id": "bb98b37d2370409de0dd909950cf43f26a6ea357", "title": "Factors influencing students' satisfaction in using wireless internet in higher education: Cross-validation of TSM", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1108/EL-07-2016-0150"]}, {"id": "272c5512b5f93a561e8aab6ba42a6b9d6ae81dfa", "title": "Primary Science Teaching to Bicolano Students : In Bicol , English or Filipino ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/272c/5512b5f93a561e8aab6ba42a6b9d6ae81dfa.pdf"], "doi": []}, {"id": "54456602b69bca50e5a8e6a87b963be0a3d10027", "title": "Gender or Proactivity? The Instance of Information Systems Students' Occupational Self-Efficacy", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5445/6602b69bca50e5a8e6a87b963be0a3d10027.pdf"], "doi": []}, {"id": "9381c0124c90db6f5c16cd5bacf4ecf1e054ffd9", "title": "A general equilibrium analysis of state and private colleges and access to higher education in the U . S .", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9381/c0124c90db6f5c16cd5bacf4ecf1e054ffd9.pdf"], "doi": []}, {"id": "a3fb741ab4707b1641264dbb58b9a4ca633e7436", "title": "The Effects of Student Loans on the Provision and Demand for Higher Education \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3fb/741ab4707b1641264dbb58b9a4ca633e7436.pdf"], "doi": []}, {"id": "976fd3e7309660679ef21badc40c2a6824a15aae", "title": "Measuring Burnout Among University Students: Factorial Validity, Invariance, and Latent Profiles of the Italian Version of the Maslach Burnout Inventory Student Survey (MBI-SS)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/976f/d3e7309660679ef21badc40c2a6824a15aae.pdf"], "doi": []}, {"id": "71fb60d13275347047245a09a36fb796eb997805", "title": "The work \u2013 study interface : similarities and differences between ethnic minority and ethnic majority students", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71fb/60d13275347047245a09a36fb796eb997805.pdf"], "doi": []}, {"id": "d1012d6588475ecede84d99652903152db597221", "title": "Student Attitudes ( ASSA ) : A Short Review And Validation Of A New Instrument", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d101/2d6588475ecede84d99652903152db597221.pdf"], "doi": []}, {"id": "d986a1ebcdb98ebd34cc9aa6ef1d73999fd69f6a", "title": "Using Student Logs to Build Bayesian Models of Student Knowledge and Skills", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d986/a1ebcdb98ebd34cc9aa6ef1d73999fd69f6a.pdf"], "doi": []}, {"id": "b1eb07169a40461d6057fb286186bed57391cf7c", "title": "Monitor Student\u2019s Presence in Classroom", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b1eb/07169a40461d6057fb286186bed57391cf7c.pdf"], "doi": []}, {"id": "4e80f061253bd916f3f4a7ca7e38dac9cd0dbe50", "title": "WHY DO I STUDY ? THE MEDIATING EFFECT OF MOTIVATION AND SElF-rEGUlATION ON STUDENT PErFOrMANCE", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e80/f061253bd916f3f4a7ca7e38dac9cd0dbe50.pdf"], "doi": []}, {"id": "ef6236823a515f7e34c970b32f3dc19d4c1cf6a9", "title": "Direct manipulation is better than passive viewing for learning anatomy in a three-dimensional virtual reality environment", "year": "2017", "pdf": ["http://www.tc.columbia.edu/faculty/jbb21/faculty-profile/files/JangVitaleBlack-Virtual-CAE.pdf"], "doi": ["https://doi.org/10.1016/j.compedu.2016.12.009"]}, {"id": "080a2e3c7559a09f85b612287bdf2d619c573f63", "title": "The Dyslexia Dilemma: A History of Ignorance, Complacency and Resistance in Colleges of Education", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/080a/2e3c7559a09f85b612287bdf2d619c573f63.pdf"], "doi": []}, {"id": "8d94203c98bda58ed560be4b50c31a6aba8e14fb", "title": "Enhancing learning and engagement through embodied interaction within a mixed reality simulation", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.compedu.2016.01.001"]}, {"id": "ca2961d5f65695b4455be6b671a27f2eb0b43b24", "title": "Why Students Fail in History : A Minor Case Study in Malaysia and Solutions from Cognitive Psychology Perspective", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ca29/61d5f65695b4455be6b671a27f2eb0b43b24.pdf"], "doi": []}, {"id": "6537ba5cb55155bac5b8e83983d58e003b486ecd", "title": "The Relationship Between Using Study Island Supplemental Math Software and Third, Fourth, and Fifth Grade Students' Mathematics Achievement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6537/ba5cb55155bac5b8e83983d58e003b486ecd.pdf"], "doi": []}, {"id": "e3c4dfc3272f515d28f60c5013e784b5d85c6a30", "title": "The Relation between Maternal Work Hours and Primary School Students\u2019 Affect in China: The Role of the Frequency of Mother\u2013Child Communication (FMCC) and Maternal Education", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3c4/dfc3272f515d28f60c5013e784b5d85c6a30.pdf"], "doi": []}, {"id": "145f6b2c8e41c3a0bfab4801f79d7256b20b1ca7", "title": "Delay of Gratification : A Construct Validation with High School Students", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/145f/6b2c8e41c3a0bfab4801f79d7256b20b1ca7.pdf"], "doi": []}, {"id": "f04826cd9f06fa7fa4a3dde88f97f1d4f6457ad7", "title": "Running head : ATTRIBUTIONAL RETRAINING 1 Attribution-based Motivation Treatment Efficacy in an Online Learning Environment for Students Who Differ in Cognitive Elaboration", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f048/26cd9f06fa7fa4a3dde88f97f1d4f6457ad7.pdf"], "doi": []}, {"id": "453d166596d97b635e3802e7d3d97b9584acbf87", "title": "Development of Want-Need Perception Scale for Primary and Secondary School Students I\u0307lk ve Ortaokul O\u0308g\u0306rencileri ic\u0327in I\u0307stek-I\u0307htiyac\u0327 Alg\u0131 O\u0308lc\u0327eg\u0306inin Gelis\u0327tirilmesi", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/453d/166596d97b635e3802e7d3d97b9584acbf87.pdf"], "doi": []}, {"id": "8b8db6e602e0854c2497724370d460db248cb81e", "title": "Disabled Student Voice on Online Video Lectures: A Small Step towards Blended Learning Approaches in an Inclusive Curriculum Design", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8b8d/b6e602e0854c2497724370d460db248cb81e.pdf"], "doi": []}, {"id": "af9d85225d4ba736e38af6988cc522643e9f1c98", "title": "Commuting, transitions and belonging: the experiences of students living at home in their first year at university", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6ea0/d120e1079fd8e2b7b0828aac271db69016ff.pdf"], "doi": []}, {"id": "8eaf745e688e715e967da4208b866e1005c5fda5", "title": "2018 2018-2 Parental Support , Savings and Student Loan Repayment", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8eaf/745e688e715e967da4208b866e1005c5fda5.pdf"], "doi": []}, {"id": "31bb6541829317101fcd60737902d84d6a141090", "title": "Didactic Student-Friendly Approaches to More Effective Teaching of the Fundamentals of Scientific Research in a Digital Era of Scientometrics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/31bb/6541829317101fcd60737902d84d6a141090.pdf"], "doi": []}, {"id": "1fd852f6d519fdc8d5f8ad59bc26490779a4ce9c", "title": "Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review", "year": "2017", "pdf": ["http://shura.shu.ac.uk/16176/8/Tsoutsanis-Performance-basedHealthMonitoring(AM).pdf"], "doi": ["https://doi.org/10.1016/j.apenergy.2017.04.048"]}, {"id": "481d70ed62bed5bc26f7e806084612ee622eee48", "title": "A structural equation model looking at student\u2019s participatory behavior and their success in Calculus I", "year": "2017", "pdf": ["https://stemeducationjournal.springeropen.com/track/pdf/10.1186/s40594-017-0093-0?site=stemeducationjournal.springeropen.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30631680", "https://doi.org/10.1186/s40594-017-0093-0"]}, {"id": "1de7c2b64eab88d354442b066b51cf0f4b3226b1", "title": "Attitudes towards sexual coercion by Polish high school students: links with risky sexual scripts, pornography use, and religiosity", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1de7/c2b64eab88d354442b066b51cf0f4b3226b1.pdf"], "doi": []}, {"id": "c1ee794111e99de40f7143b4270a198278a8525d", "title": "Self-Determination Theory in Work Organizations : The State of a Science", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c1ee/794111e99de40f7143b4270a198278a8525d.pdf"], "doi": []}, {"id": "6894eae802093f354f32dab1a0072fe937eb5032", "title": "Healthcare Database Management for Health Informatics and Information Management Students: Challenges and Instruction Strategies\u2014Part 1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0622/7deb64113cbc81fda84889201f4eceb71e63.pdf"], "doi": []}, {"id": "b664cd5d16ea28968f31f899f20efc8ea97f4d0d", "title": "Teachers' Perceptions of Formal Testing of Students in Grades K-2", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b664/cd5d16ea28968f31f899f20efc8ea97f4d0d.pdf"], "doi": []}, {"id": "d37debed1e77ca82e8969cc91b6e18b0888cebaa", "title": "From mechanic to designer: Evolving perceptions of elementary students over three years of engineering instruction", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d37d/ebed1e77ca82e8969cc91b6e18b0888cebaa.pdf"], "doi": []}, {"id": "52bf867def9dc4c3615b77c5b8e28a1c314e8407", "title": "Computer-Assisted Synthetic Planning: The End of the Beginning.", "year": "2016", "pdf": ["https://moodle.haverford.edu/pluginfile.php/74411/mod_resource/content/0/Angewandte%20Chemie%20International%20Edition-1.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27062365", "https://doi.org/10.1002/anie.201506101"]}, {"id": "6498e11d48b8ccf641848e77f83d6af051f7e2c2", "title": "Linear Algebraic Structure of Word Senses, with Applications to Polysemy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1601.03764.pdf"], "doi": []}, {"id": "a6ee9fa4dc9366af18d8a0e861ca3b2fd2b2ce42", "title": "The Human Connectome Project's neuroimaging approach", "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/50950/1/GlasserNN.pdf", "http://www.nature.com/neuro/journal/v19/n9/pdf/nn.4361.pdf"], "doi": ["https://doi.org/10.1038/nn.4361", "https://www.ncbi.nlm.nih.gov/pubmed/27571196"]}, {"id": "498238a3bd5fd322fc3ce1572e33bbe3853a356f", "title": "A Brief Survey of Deep Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05866.pdf"], "doi": []}, {"id": "e06ec9eb14f644dab792a78241603d7e9afdc6a0", "title": "Effects of Heterogeneous Mobility on D2D- and Drone-Assisted Mission-Critical MTC in 5G", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7842416"]}, {"id": "a7fce24eb350e592338ffa9f3b7f8b2a8887b0dd", "title": "HUMAN DECISIONS AND MACHINE PREDICTIONS.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ebe7/c45cdd9ef9d98b3684f116653b473cf9f185.pdf"], "doi": []}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "826e4fedc185177d44719a18a695513d73b4ae65", "title": "Measuring positive attitudes toward persons with dementia: A validation of the Allophilia scale.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26892304", "https://doi.org/10.1177/1471301216633247"]}, {"id": "e93a28978696a8ffff2ad6b93725555445e019b8", "title": "The Rules of Facebook Friendship : A Two-Stage Examination of Interaction Rules in Close , Casual , and Acquaintance Friendships", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e93a/28978696a8ffff2ad6b93725555445e019b8.pdf"], "doi": []}, {"id": "9aa15d8c5ff7797a0de8b8ba456ce4888f16e826", "title": "Associations Among Psychologically Controlling Parenting, Autonomy, Relatedness, and Problem Behaviors During Emerging Adulthood.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28388337", "https://doi.org/10.1080/00223980.2017.1305323"]}, {"id": "859678607a6759b558a8c463996e52fcf9bce070", "title": "Perfectionism Is Increasing Over Time: A Meta-Analysis of Birth Cohort Differences From 1989 to 2016.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8596/78607a6759b558a8c463996e52fcf9bce070.pdf"], "doi": []}, {"id": "901c0ea04ceebd8f547a376667d6fc31f6537a00", "title": "Brand Personality , Consumer Satisfaction , and Loyalty : A Perspective from Denim Jeans Brands", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/901c/0ea04ceebd8f547a376667d6fc31f6537a00.pdf"], "doi": []}, {"id": "b27272a1cc686d6911afe9a997f42e627bf345fe", "title": "The Long-Run Impacts of Same-Race Teachers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b272/72a1cc686d6911afe9a997f42e627bf345fe.pdf"], "doi": []}, {"id": "05ca98620e49e7fb5db92f38685d02b9c63cb60c", "title": "Self-esteem, diet self-efficacy, body mass index, and eating disorders: modeling effects in an ethnically diverse sample.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26703131", "https://doi.org/10.1007/s40519-015-0244-6"]}, {"id": "9e18e7f9e18acbf46a26e27167a28edd342aaaba", "title": "Reassessing wanting and liking in the study of mesolimbic influence on food 5 intake 6 7", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9e18/e7f9e18acbf46a26e27167a28edd342aaaba.pdf"], "doi": []}, {"id": "40d65447e39538214c2511d82f02dca55206681c", "title": "ViZig: Anchor Points based Non-Linear Navigation and Summarization in Educational Videos", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2856788"]}, {"id": "5854233084f2fb5fc0216d13ac8d8d1a41365281", "title": "Narcissistic Vulnerability and Grandiosity as Mediators Between Insecure Attachment and Future Eating Disordered Behaviors: A Prospective Analysis of Over 2,000 Freshmen.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26613236", "https://doi.org/10.1002/jclp.22237"]}, {"id": "613c9ab9e119e1c1f82d57f8a2c9b95e7cb8a17d", "title": "Dimensional structure and measurement invariance of the Interpersonal Reactivity Index (IRI) across gender.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/613c/9ab9e119e1c1f82d57f8a2c9b95e7cb8a17d.pdf"], "doi": []}, {"id": "9caaecc40ce666749157ea025d308c1304b52fa4", "title": "Gendered pathways from child sexual abuse to sexual aggression victimization and perpetration in adolescence and young adulthood.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27771010", "https://doi.org/10.1016/j.chiabu.2016.10.004"]}, {"id": "e803ca9b2fa5979e7040a473c40a6142d3ebf693", "title": "Longitudinal pathways of sexual victimization, sexual self-esteem, and depression in women and men.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27669161", "https://doi.org/10.1037/tra0000198"]}, {"id": "695c144b504a9ef749baa107935b2043fbc0ab42", "title": "Extending expectancy-value theory predictions of achievement and aspirations in science : Dimensional comparison processes and expectancy-by-value interactions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/695c/144b504a9ef749baa107935b2043fbc0ab42.pdf"], "doi": []}, {"id": "53b85fe56b7d9f33f0fd2c0315e3e82e450d8958", "title": "Psychometric properties of a brief version of the Penn State Worry Questionnaire in African Americans and European Americans.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/53b8/5fe56b7d9f33f0fd2c0315e3e82e450d8958.pdf"], "doi": []}, {"id": "593e32477845a54d5c57d7f148ae7858e4c0bb91", "title": "Mindfulness in Information Technology Use: Definitions, Distinctions, and a New Measure", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/593e/32477845a54d5c57d7f148ae7858e4c0bb91.pdf"], "doi": []}, {"id": "ac21e2821431e60ef77916865307d07cbeb39149", "title": "Sense of Community , Perceived Learning , and Achievement Relationships in an Online Graduate Course", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac21/e2821431e60ef77916865307d07cbeb39149.pdf"], "doi": []}, {"id": "8197e29670539cf282e9cbf62fbf177d83cdfb55", "title": "All You Need Is Facebook Friends? Associations between Online and Face-to-Face Friendships and Health", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8197/e29670539cf282e9cbf62fbf177d83cdfb55.pdf"], "doi": []}, {"id": "fa4b505736ab5bba0b78f95da13073e2c3cfdb1a", "title": "Estimating the Value of Higher Education Financial Aid : Evidence from a Field Experiment \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9135/d666035529d5bba3000d713b4467d54f4921.pdf"], "doi": []}, {"id": "fa6c9cda93bc0cb3c849df10c3ebbe11ec7c4585", "title": "Hypermedia navigation: Differences between spatial cognitive styles", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.chb.2016.09.038"]}, {"id": "b4a3c89f257b57f2bef6092560f22fcdeb676b3c", "title": "Multilateral mechanism analysis of interprovincial migration flows in China", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b4a3/c89f257b57f2bef6092560f22fcdeb676b3c.pdf"], "doi": []}, {"id": "6ef223afaa613874f4686e0f9cc9fc4aa159805f", "title": "Threat causes liberals to think like conservatives", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef2/23afaa613874f4686e0f9cc9fc4aa159805f.pdf"], "doi": []}, {"id": "272083ef9a02b14ba026575c4bb80743172226bb", "title": "The Invention Coach: Integrating Data and Theory in the Design of an Exploratory Learning Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2720/83ef9a02b14ba026575c4bb80743172226bb.pdf"], "doi": []}, {"id": "576ffd3f6374251302203a17f2a692c30dba02c1", "title": "\u201cLocation is surprisingly a lot more important than you think\u201d: a critical thematic analysis of push and pull factor messaging used on Caribbean offshore medical school websites", "year": "2017", "pdf": ["http://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-0936-x?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28578670", "https://doi.org/10.1186/s12909-017-0936-x"]}, {"id": "bff2bc19de645f0a9f40e64f1f3945ccbc50f7ea", "title": "Measuring variations in bicultural identity across U.S. ethnic and generational groups: Development and validation of the Bicultural Identity Integration Scale-Version 2 (BIIS-2).", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bff2/bc19de645f0a9f40e64f1f3945ccbc50f7ea.pdf"], "doi": []}, {"id": "0563f9202852e47fc2bee713ea1699ecd7547b47", "title": "Dissociated neural substrates underlying impulsive choice and impulsive action", "year": "2016", "pdf": ["http://cbls.bnu.edu.cn/pdf/Wang_2016_NeuroImage-2.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811916300416?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2016.04.010", "https://www.ncbi.nlm.nih.gov/pubmed/27083527", "https://www.wikidata.org/entity/Q46450390"]}, {"id": "7395d7bc88043f3b72c35eae87778fa7c7946897", "title": "Ex-ante fairness in the Boston and serial dictatorship mechanisms under pre-exam and post-exam preference submission", "year": "2017", "pdf": ["http://jaimielien.weebly.com/uploads/1/9/6/5/19659049/ex-ante_fairness_and_preference_submission_timing_20150228.pdf", "http://jzheng.weebly.com/uploads/1/9/6/6/19665907/ex-ante_fairness_20160706_final_v2.pdf", "http://jzheng.weebly.com/uploads/1/9/6/6/19665907/ex-ante_fairness_pst_20160109_final.pdf"], "doi": ["https://doi.org/10.1016/j.geb.2016.07.003"]}, {"id": "91303fef62f6e64be92743b897943fda12ee81cc", "title": "Clarifying the Link between Mastery Goals and Social Comparisons in Classroom Settings", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9130/3fef62f6e64be92743b897943fda12ee81cc.pdf"], "doi": []}, {"id": "bcd83b39699de9c10d7e4753c929d661029f22ec", "title": "Weighted Lagrange \u03b5-twin support vector regression", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2016.01.038"]}, {"id": "a9ff91ee66a3693405d381e8c8fc3ff878860bbc", "title": "The Impact of Bodily States on Divergent Thinking: Evidence for a Control-Depletion Account", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a9ff/91ee66a3693405d381e8c8fc3ff878860bbc.pdf"], "doi": []}, {"id": "8b1c4d938d1be3509316abb18b175b695c88e051", "title": "A Feature Selection Method for Projection Twin Support Vector Machine", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-017-9624-4"]}, {"id": "de375ac856f60c3f6e437f3870464495a3be68dc", "title": "Generalisability theory analyses of concept mapping assessment scores in a problem-based medical curriculum.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27295477", "https://doi.org/10.1111/medu.13054"]}, {"id": "a40c72499a769dbf21aa4523942730bb31b27594", "title": "Resources , experience , and perseverance in entrepreneurs ' perceived likelihood of success in an emerging economy", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d552/63a3a5f242bbfbe9004d24e2a5b8a79c290c.pdf"], "doi": []}, {"id": "9803e5e2baf3438c828d375d8d3146b8ee154a8d", "title": "A Hybrid Open/Closed Lab for CS 1", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3059014"]}, {"id": "f10bc3b74b4bdc4219ebe986bd830fd47b849bd9", "title": "Reading and Language in the Early Grades", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f10b/c3b74b4bdc4219ebe986bd830fd47b849bd9.pdf"], "doi": []}, {"id": "0fd1715da386d454b3d6571cf6d06477479f54fc", "title": "A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0fd1/715da386d454b3d6571cf6d06477479f54fc.pdf"], "doi": []}, {"id": "540f6dad155aaa1cba0cd4e50b66825fc999dd13", "title": "Fitness, fatness and the reallocation of time between children\u2019s daily movement behaviours: an analysis of compositional data", "year": "2017", "pdf": ["http://ijbnpa.biomedcentral.com/track/pdf/10.1186/s12966-017-0521-z?site=ijbnpa.biomedcentral.com", "https://cronfa.swan.ac.uk/Record/cronfa33645/Download/0033645-10052017140831.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28486972", "https://doi.org/10.1186/s12966-017-0521-z"]}, {"id": "44ea15861a350a5bd7f3c50e2ef26e835bf43185", "title": "Robust estimation of risks from small samples.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1311.5052.pdf"], "doi": []}, {"id": "4d0e666ba7c8dae14af462dabed6c62409aba7cd", "title": "Home Use of a Neural-connected Sensory Prosthesis Provides the Functional and Psychosocial Experience of Having a Hand Again", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29959334", "https://doi.org/10.1038/s41598-018-26952-x"]}, {"id": "90117fba9b0fcdcbe00bf9888f10687be14d3074", "title": "Training Psychiatry Residents in Professionalism in the Digital World", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11126-016-9473-8", "https://www.ncbi.nlm.nih.gov/pubmed/27796921"]}, {"id": "6020cae3199e08582ea7ba4a9ebf660b126eb02b", "title": "Deep ToC: A New Method for Estimating the Solutions of PDEs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08625.pdf"], "doi": []}, {"id": "73e922f60eaddec637e973e2e7c92cb0411d3d2d", "title": "Probabilistic human mobility model in indoor environment", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727389"]}, {"id": "002015cbe59a95d0fcb651d9e436ebb84c227138", "title": "Variable Pricing and the Cost of Renewable Energy by Imelda ,", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0020/15cbe59a95d0fcb651d9e436ebb84c227138.pdf"], "doi": []}, {"id": "491ea47ba85927a5ce59b62e90f8d371f48b4955", "title": "Penalizing Unfairness in Binary Classification.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00044.pdf"], "doi": []}, {"id": "75116559568a1627326d29f5b0f8c06ab08b4036", "title": "Assortment Planning in School Choice [ Preliminary Draft ]", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7511/6559568a1627326d29f5b0f8c06ab08b4036.pdf"], "doi": []}, {"id": "c7c643b36fd0da1684f198758a6a7fabdc649545", "title": "The Persistence of Division : Geography , Institutions , and Online Friendship Ties", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c7c6/43b36fd0da1684f198758a6a7fabdc649545.pdf"], "doi": []}, {"id": "cab5feb817594fa4c2b5f26b7db8c9f95214b76d", "title": "Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8421576"]}, {"id": "8b4ad4aa6d8c8611c59a40a1b63975f51ee9ae87", "title": "Sub-decadal variations in outlet glacier terminus positions in Victoria Land, Oates Land and George V Land, East Antarctica (1972\u20132013)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8828/9fab20355505a4653c63ef7e81bada4a2ad0.pdf"], "doi": []}, {"id": "9ad9f0502911ea3804f3fb40086fb80ee173000e", "title": "Anatomy of STEM teaching in North American universities", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1126/science.aap8892", "https://digitalcommons.otterbein.edu/cgi/viewcontent.cgi?article=1000&context=fac_articles&filename=0&type=additional", "https://www.ncbi.nlm.nih.gov/pubmed/29599232"]}, {"id": "a9d0d051cd0c39bfb9149cd046048c5594d1f0ce", "title": "An experiment with separate formative and summative rubrics in educational peer assessment", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7757597"]}, {"id": "930045dca448cd82bb718144a9696c88cc0bb5a6", "title": "Influence of Early Onset of Alcohol Use on the Development of Adolescent Alcohol Problems: a Longitudinal Binational Study", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11121-016-0710-z", "https://www.ncbi.nlm.nih.gov/pubmed/27699620"]}, {"id": "7a341c4873b70eca86a9e45141ae2df168bbdacd", "title": "Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27581007", "https://doi.org/10.1007/s10661-016-5558-y"]}, {"id": "a8dd4219745c5f3b840bb09ab882a574823161bb", "title": "Faster Teaching via POMDP Planning", "year": "2016", "pdf": ["http://cocosci.berkeley.edu/tom/papers/FasterTeachPOMDPPlanning.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26400190", "https://doi.org/10.1111/cogs.12290", "https://www.wikidata.org/entity/Q43731036"]}, {"id": "8f7016f0bb172114efe533f457abb6e8ffb6c2d3", "title": "SUPPORT NEEDS OF CHILDREN WITH INTELLECTUAL AND DEVELOPMENTAL DISABILITIES: AGERELATED IMPLICATIONS FOR ASSESSMENT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8f70/16f0bb172114efe533f457abb6e8ffb6c2d3.pdf"], "doi": []}, {"id": "6e231ac94022e52be28a440ef4d38c6c2da30d75", "title": "A PROSPECTIVE INVESTIGATION OF JOY AND TRAIT GRATITUDE", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6e23/1ac94022e52be28a440ef4d38c6c2da30d75.pdf"], "doi": []}, {"id": "fce673e4b9778c3adb63c9b6492627a8b25cd05a", "title": "Panel Smooth Transition Regression Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fce6/73e4b9778c3adb63c9b6492627a8b25cd05a.pdf"], "doi": []}, {"id": "c28cb8b11be05ba262334e0e4264e296f93e9882", "title": "Associations between teacher-reported school climate and depressive symptoms in Australian adolescents : a 5-year longitudinal study", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c28c/b8b11be05ba262334e0e4264e296f93e9882.pdf"], "doi": []}, {"id": "34c07382a4fb07e266e4913bb41468a58e5b5dff", "title": "WORKING PAPER SERIES ESTIMATING THE EFFECTS OF A LARGE FOR-PROFIT CHARTER SCHOOL OPERATOR", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34c0/7382a4fb07e266e4913bb41468a58e5b5dff.pdf"], "doi": []}, {"id": "bfdc9ff45db76fce9054476e35739a36199d026b", "title": "Becoming physics people : Development of integrated physics identity through the Learning Assistant experience", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bfdc/9ff45db76fce9054476e35739a36199d026b.pdf"], "doi": []}, {"id": "a1b3da114b3c85feec014a26d8c88cb2e1730419", "title": "Reducing prejudice and promoting positive intergroup attitudes among elementary-school children in the context of the Israeli-Palestinian conflict.", "year": "2016", "pdf": ["https://coller.tau.ac.il/sites/coller-english.tau.ac.il/files/media_server/Recanati/management/publications/tadmor/Reducingprejudiceinchildren.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27425566", "https://doi.org/10.1016/j.jsp.2016.04.003"]}, {"id": "f7c6efe62508c7771fb41820401bb704810661a7", "title": "Representation of Multiple Body Parts in the Missing-Hand Territory of Congenital One-Handers", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/1559162/1/Makin_1-s2.0-S0960982217303524-main.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0960982217303524", "https://doi.org/10.1016/j.cub.2017.03.053", "https://www.ncbi.nlm.nih.gov/pubmed/28434861"]}, {"id": "1cec7523f9104a67b114b69d20aeb4cbeb8b73ac", "title": "Palmprint Identification Using an Ensemble of Sparse Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8244323"]}, {"id": "a1850837382a77318e73ee093bf3912bc40f937b", "title": "Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02314.pdf"], "doi": []}, {"id": "b52afb9f2ebcb3a7e06e9bf3a8a3dfc060b01bf2", "title": "Forward and Reverse Gradient-Based Hyperparameter Optimization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01785.pdf"], "doi": []}, {"id": "419fd5e7f8ae379e46696be82aef6a3cae17fb44", "title": "Factorial Invariance and Convergent Validity of the Group-Based Medical Mistrust Scale across Gender and Ethnoracial Identity.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/419f/d5e7f8ae379e46696be82aef6a3cae17fb44.pdf"], "doi": []}, {"id": "99a49f21ea2c001d6b94005ada187433f9a2b6df", "title": "Understanding the Association of Fatigue With Other Symptoms of Fibromyalgia: Development of a Cluster Model.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26017904", "https://doi.org/10.1002/acr.22626"]}, {"id": "9932fed53ac89a83a8af561095b090b2900c6dce", "title": "The Gap between Engineering Education and Postgraduate Preparedness.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9932/fed53ac89a83a8af561095b090b2900c6dce.pdf"], "doi": []}, {"id": "c85dba056bc09e16056a1cd759debffa01a8f8ff", "title": "Mind-wandering as spontaneous thought: a dynamic framework", "year": "2016", "pdf": ["http://scottbarrykaufman.com/wp-content/uploads/2016/09/Christoff-et-al.-2016.pdf", "https://static1.squarespace.com/static/575f018a1bbee0fe9fb1748e/t/5887cc87d1758ecbedc761f6/1485294730169/nrn.2016.113.pdf"], "doi": ["https://doi.org/10.1038/nrn.2016.113", "https://www.ncbi.nlm.nih.gov/pubmed/27654862"]}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "32bc7060abd4d4a3c15436131d44955b6caf37ff", "title": "Quantitative super-resolution single molecule microscopy dataset of YFP-tagged growth factor receptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/822f/1a0db37aefeb0364b4663f48dbca35cf75ab.pdf"], "doi": []}, {"id": "54c0c35560beac2b37026d6e479b0b793a4a8b3e", "title": "Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/84ef/8bb73c93789ada648547380ce4522fe38a1d.pdf"], "doi": []}, {"id": "3d8e59ee4109728636c1865be046342a79684b64", "title": "A Novel M-Cluster of Feature Selection Approach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3d8e/59ee4109728636c1865be046342a79684b64.pdf"], "doi": []}, {"id": "89e411cc7e7828d9a28e3def4533295e3b5bd6ac", "title": "[2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure].", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/89e4/11cc7e7828d9a28e3def4533295e3b5bd6ac.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "7a8b4ad172c2639cb38f7834624c930f5692c1ab", "title": "The MalSource Dataset: Quantifying Complexity and Code Reuse in Malware Development", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06888.pdf"], "doi": []}, {"id": "5870cda9f3f8e4c812501ccea0bb57593dbbd08c", "title": "Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial", "year": "2016", "pdf": ["http://cloudfront.practiceupdate.net/zone/els.pracuponcology_UrothelialCancer/Urothelial-1_Rosenberg.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616005614?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/S0140-6736%2816%2900561-4", "https://www.ncbi.nlm.nih.gov/pubmed/26952546"]}, {"id": "d54de7d78ac63a5994ec24c777c1885ab1ca771b", "title": "Calibrating COCOMO(R) II for Projects with High Personnel Turnover", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7831575"]}, {"id": "05615bccda9ab6396b509a0efa91e0177204be3f", "title": "A Hybrid Approach for Efficient Unique Column Combination Discovery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0561/5bccda9ab6396b509a0efa91e0177204be3f.pdf"], "doi": []}, {"id": "e0e68c0fba832a8abc6918e12241861e68eefb24", "title": "Application of magnetic resonance imaging in diagnosis of Uterus Cervical Carcinoma.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28234273", "https://doi.org/10.3233/XST-17254"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "140349ba7375f238ed695e3405f3c8e7dc6395e6", "title": "Chloroplast genomes: diversity, evolution, and applications in genetic engineering", "year": "2016", "pdf": ["https://www.biomedcentral.com/track/pdf/10.1186/s13059-016-1004-2?site=genomebiology.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13059-016-1004-2", "https://www.ncbi.nlm.nih.gov/pubmed/27339192"]}, {"id": "694701e33924b63105c09c46a79ee2e9fe7b9086", "title": "The lncRNA CRNDE promotes colorectal cancer cell proliferation and chemoresistance via miR-181a-5p-mediated regulation of Wnt/\u03b2-catenin signaling", "year": "2017", "pdf": ["https://molecular-cancer.biomedcentral.com/track/pdf/10.1186/s12943-017-0583-1"], "doi": ["https://doi.org/10.1186/s12943-017-0583-1", "https://www.ncbi.nlm.nih.gov/pubmed/28086904"]}, {"id": "f07b85129121a572d38ea5f271611b3505bc1046", "title": "Efficient Discovery of Approximate Dependencies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f07b/85129121a572d38ea5f271611b3505bc1046.pdf"], "doi": []}, {"id": "75007000e51b9553bfbe3cf79ec64aa9be1a66da", "title": "Referral outcomes of attendances at general practitioner led urgent care centres in London, England: retrospective analysis of hospital administrative data.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26396232", "https://doi.org/10.1136/emermed-2014-204603"]}, {"id": "d538db599358afd3cf6a77479d056bea405f6620", "title": "Adipocyte lipolysis links obesity to breast cancer growth: adipocyte-derived fatty acids drive breast cancer cell proliferation and migration", "year": "2017", "pdf": ["https://cancerandmetabolism.biomedcentral.com/track/pdf/10.1186/s40170-016-0163-7?site=cancerandmetabolism.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28101337", "https://doi.org/10.1186/s40170-016-0163-7"]}, {"id": "7ae0e6b1819feca421c58bca76661520a724288a", "title": "Chloroplast phylogenomic analyses reveal the deepest-branching lineage of the Chlorophyta, Palmophyllophyceae class. nov.", "year": "2016", "pdf": ["http://www.vliz.be/imisdocs/publications/290122.pdf", "https://biblio.ugent.be/publication/7257892/file/7257935.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27157793", "https://doi.org/10.1038/srep25367"]}, {"id": "c469253f09983e58633b258fd8b10b16a7661ede", "title": "Evolution of the global phosphorus cycle", "year": "2017", "pdf": ["http://reinhard.gatech.edu/uploads/5/4/1/0/54106417/reinhard_nature_2017_si.pdf", "http://web.gps.caltech.edu/~wfischer/pubs/Reinhardetal2017.pdf", "https://people.earth.yale.edu/sites/default/files/files/Planavsky/66_%20Reinhard_nature_2017.pdf"], "doi": ["https://doi.org/10.1038/nature20772", "https://www.ncbi.nlm.nih.gov/pubmed/28002400"]}, {"id": "21f4efddb7abea3c63a1c13486dc38b7ba6ee64a", "title": "Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/107e/c6ea50f2b62a6652ef23b2b868a164bdcc25.pdf"], "doi": []}, {"id": "117b344a830780508a3defa514acc2a477c2b318", "title": "Efficient Denial Constraint Discovery with Hydra", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7f72/b8081153d759574a4021c9b7a571578eb4b5.pdf"], "doi": []}, {"id": "c3526e839ef1aea6e3c47418f25f937ce436ea5d", "title": "Coughing, sneezing, and aching online: Twitter and the volume of influenza-like illness in a pediatric hospital", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c352/6e839ef1aea6e3c47418f25f937ce436ea5d.pdf"], "doi": []}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "e0c720b09aa6558e4abcd4b36f925c027cf0fceb", "title": "Predicting run time of classification algorithms using meta-learning", "year": "2017", "pdf": ["http://www.cs.uccs.edu/~jkalita/papers/2016/DoanTriIJMLC2016.pdf"], "doi": ["https://doi.org/10.1007/s13042-016-0571-6"]}, {"id": "afac3ea4f012de1d9b38c296ba14c1286e464ac7", "title": "Holistic Data Profiling: Simultaneous Discovery of Various Metadata", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/afac/3ea4f012de1d9b38c296ba14c1286e464ac7.pdf"], "doi": []}, {"id": "ffbd13cb542845f22f5e7532afa7c0c86cef2f03", "title": "WP / 17 / 169 Why Is Labor Receiving a Smaller Share of Global Income ? Theory and Empirical Evidence", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ffbd/13cb542845f22f5e7532afa7c0c86cef2f03.pdf"], "doi": []}, {"id": "d2abba5be81aebea75adf159b2a6bbd7aef3ccf6", "title": "A Logistic Regression and Markov Chain Model for the Prediction of Nation-state Violent Conflicts and Transitions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d2ab/ba5be81aebea75adf159b2a6bbd7aef3ccf6.pdf"], "doi": []}, {"id": "eaa6119a857efd6843d0363841d8169ae7e2cf6c", "title": "Clinical, ultrasound and molecular biomarkers for early prediction of large for gestational age infants in nulliparous women: An international prospective cohort study", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e52/666d28f306e6524bc5dd8e159ed135e8fec1.pdf"], "doi": []}, {"id": "003118f9a12a28935a5b1f96bc25c5faf250372f", "title": "International practices in the dietary management of fructose 1-6 biphosphatase deficiency", "year": "2018", "pdf": ["https://ojrd.biomedcentral.com/track/pdf/10.1186/s13023-018-0760-3?site=ojrd.biomedcentral.com", "https://repository.ubn.ru.nl/bitstream/handle/2066/191323/191323.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29370874", "https://doi.org/10.1186/s13023-018-0760-3"]}, {"id": "5e0a6e47feba6fcba4cc64334e56e5107aa5eea5", "title": "Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6ca/fd08a286cf2323b72a2d5cbf02a668f53478.pdf"], "doi": []}, {"id": "c72ce7d1bd0e22f751b840596335039621240974", "title": "Data-driven Schema Normalization", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c72c/e7d1bd0e22f751b840596335039621240974.pdf"], "doi": []}, {"id": "b226b5c37f0f2cc9785819f59ffac0a3cf01bf38", "title": "PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05944.pdf"], "doi": []}, {"id": "e18803b9506bb411690dffcc6050055cbdb0d722", "title": "Conflicting phylogenomic signals reveal a pattern of reticulate evolution in a recent high-Andean diversification (Asteraceae: Astereae: Diplostephium).", "year": "2017", "pdf": ["https://static1.squarespace.com/static/5065c999c4aac831ab270535/t/592f7bdbf5e2317ce97ee0d8/1496284125771/Vargas_et_al-2017-New_Phytologist.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28333396", "https://doi.org/10.1111/nph.14530"]}, {"id": "9ff42dfa9150c0250f4bae26616fff4305cb6616", "title": "Virtual Visits for Acute, Nonurgent Care: A Claims Analysis of Episode-Level Utilization", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28213342", "http://www.jmir.org/article/viewFile/jmir_v19i2e35/2", "https://doi.org/10.2196/jmir.6783"]}, {"id": "a6aed23dd9b6cde15f026b1c0d3f868093a6e15a", "title": "Quantitative Evaluation of Confidence Measures in a Machine Learning World", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Poggi_Quantitative_Evaluation_of_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Poggi_Quantitative_Evaluation_of_ICCV_2017_supplemental.pdf", "http://vision.deis.unibo.it/~smatt/Papers/ICCV2017/ICCV_2017_confidence_measures.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237821", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.559", "http://doi.org/10.1109/ICCV.2017.559"]}, {"id": "aff84192d17c6d69e0e681b34528b5eef5bd4add", "title": "Comprehensive investigation of aberrant microRNA profiling in bladder cancer tissues", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s13277-016-5121-z", "https://www.ncbi.nlm.nih.gov/pubmed/27350368"]}, {"id": "d1daaadcb4ebc0dace6fcd8ca7decb4573443d17", "title": "Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27370177", "https://doi.org/10.1016/j.eururo.2016.06.010"]}, {"id": "d690d393c6f216be82112188f6c97aef995ea062", "title": "WISP1 genetic variants as predictors of tumor development with urothelial cell carcinoma.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29277583", "https://doi.org/10.1016/j.urolonc.2017.11.023"]}, {"id": "b0a71efa0e830501246b0ba4f577cab8fb689c3a", "title": "Plastid Genome Comparative and Phylogenetic Analyses of the Key Genera in Fagaceae: Highlighting the Effect of Codon Composition Bias in Phylogenetic Inference", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b0a7/1efa0e830501246b0ba4f577cab8fb689c3a.pdf"], "doi": []}, {"id": "235b8278001f7e9c386ff510254d4f2349c08262", "title": "Sedimentary heavy metal(loid) contamination in the Veracruz shelf, Gulf of Mexico: A baseline survey from a rapidly developing tropical coast.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28434667", "https://doi.org/10.1016/j.marpolbul.2017.03.039"]}, {"id": "6a7dc6846570d1249e5bb2f3ab9e5bc2c277cc76", "title": "International Inflation Spillovers Through Input Linkages \u2217", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9a9b/7ac6657a752b2cc8588a689a1761dd5b1b51.pdf"], "doi": []}, {"id": "f0ad1d59fc4fd16e37f67bc0d82b4dbd7538512f", "title": "Nonparametric User Behavior Prediction for Distributed EV Charging Scheduling", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8585744"]}, {"id": "0b6e00c3f74927d0360267ebd6d416a3683243fc", "title": "Complete mitochondrial genome of Gracilaria changii (Rhodophyta: Gracilariaceae)", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s10811-017-1100-z"]}, {"id": "02b48789cc4f620c644695b33e1c2e35bbd80f3e", "title": "Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02b4/8789cc4f620c644695b33e1c2e35bbd80f3e.pdf"], "doi": []}, {"id": "974faf12ef98578c8cec637c3c04e69bd959e957", "title": "The oral microbiota in colorectal cancer is distinctive and predictive", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/974f/af12ef98578c8cec637c3c04e69bd959e957.pdf"], "doi": []}, {"id": "3388b4b2cead1abc743f98d0f9c8fe082a425ed0", "title": "LLIN Evaluation in Uganda Project (LLINEUP): factors associated with ownership and use of long-lasting insecticidal nets in Uganda: a cross-sectional survey of 48 districts", "year": "2018", "pdf": ["https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-018-2571-3"], "doi": ["https://doi.org/10.1186/s12936-018-2571-3", "https://www.ncbi.nlm.nih.gov/pubmed/30424775"]}, {"id": "0f98a11bd98635ab51742ef09119e4cd0165d5ac", "title": "Roles of disease severity and post-discharge outpatient visits as predictors of hospital readmissions", "year": "2016", "pdf": ["https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-016-1814-7"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27724889", "https://doi.org/10.1186/s12913-016-1814-7"]}, {"id": "fff1261e5c8698f9a4e334e7c822bbf199c90922", "title": "Repressor activator protein 1-promoted colorectal cell migration is associated with the regulation of Vimentin.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28381157", "https://doi.org/10.1177/1010428317695034"]}, {"id": "934a132f9002de829f9510100c93b285547402ad", "title": "The effect of alcohol consumption on household income in Ireland.", "year": "2016", "pdf": ["https://cora.ucc.ie/bitstream/handle/10468/3219/1445.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27814793", "https://doi.org/10.1016/j.alcohol.2016.10.003"]}, {"id": "9525b0e3746b12e0b319900646730aa0903dd5ec", "title": "Comparison of intraspecific, interspecific and intergeneric chloroplast diversity in Cycads", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27558458", "https://doi.org/10.1038/srep31473"]}, {"id": "307d25232769dff147be140182e9a8cfa35816ce", "title": "HDAC10 as a potential therapeutic target in ovarian cancer.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28073598", "https://doi.org/10.1016/j.ygyno.2017.01.009"]}, {"id": "e5e8f2a775f3f49f11be1251bcae39eb59e566ae", "title": "Fast Budgeted Influence Maximization Over Multi-Action Event Logs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302527"]}, {"id": "0ac4b7f932b55b82e2a9ed27b5c5fb09429f9b73", "title": "Proper imputation techniques for missing values in data sets", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823957"]}, {"id": "5aa998cf8cb7b60627a6bfe29a569c7cca0f3644", "title": "Human Action Recognition from Multiple Views Based on View-Invariant Feature Descriptor Using Support Vector Machines", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5aa9/98cf8cb7b60627a6bfe29a569c7cca0f3644.pdf"], "doi": []}, {"id": "684be6db3ae69db3d15ffe617c752011e2ffe4fa", "title": "Video Authentication Based on Statistical Local Information", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7881663"]}, {"id": "88953809a11385702771e0511655f7dc4fdf3fa4", "title": "Exploring the spatial and temporal determinants of gas central heating adoption", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8895/3809a11385702771e0511655f7dc4fdf3fa4.pdf"], "doi": []}, {"id": "37e7adc43fc83501d1b5c13dc0ab603164b92c1d", "title": "The complete mitochondrial genomes of four cockroaches (Insecta: Blattodea) and phylogenetic analyses within cockroaches.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27045773", "https://doi.org/10.1016/j.gene.2016.03.057"]}, {"id": "37f892cf7c4c688d86cf63e9eaedc34d3985cfff", "title": "Dopamine receptor D2 genetic variations is associated with the risk and clinicopathological variables of urothelial cell carcinoma in a Taiwanese population", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37f8/92cf7c4c688d86cf63e9eaedc34d3985cfff.pdf"], "doi": []}, {"id": "8149006bafd1638cd169db1c3e6054be9355c097", "title": "Data Anamnesis: Admitting Raw Data into an Organization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8149/006bafd1638cd169db1c3e6054be9355c097.pdf"], "doi": []}, {"id": "78b2d75f8a742212e601847a359a89119804b658", "title": "Biogenesis and function of tRNA fragments during sperm maturation and fertilization in mammals", "year": "2016", "pdf": ["https://stacks.cdc.gov/view/cdc/39783/cdc_39783_DS13.pdf", "https://www.umassmed.edu/globalassets/mellolab/documents/publications/sharmaconine-2016.pdf", "https://www.umassmed.edu/globalassets/moore-lab/sharmaricci-rando-science-2016.pdf"], "doi": ["https://doi.org/10.1126/science.aad6780", "https://www.ncbi.nlm.nih.gov/pubmed/26721685"]}, {"id": "c0ddc5a471aa5601a950d0c5e590ea0cd3430bf5", "title": "Combatting Use Case Points\u2019 Limitations with COCOMO(R) II and Relative Difficulty", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7890610"]}, {"id": "8f7344481d5e5afbf95c6002671957dbfef762a3", "title": "Insights into chemical weathering of the upper continental crust from the geochemistry of ancient glacial diamictites", "year": "2016", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt6g19j79b/qt6g19j79b.pdf"], "doi": ["https://doi.org/10.1016/j.gca.2015.12.012"]}, {"id": "ff4df753cae94a74f4be2367d4f45cceea1f8424", "title": "A novel hybrid of Shortest job first and round Robin with dynamic variable quantum time task scheduling technique", "year": "2017", "pdf": ["https://journalofcloudcomputing.springeropen.com/track/pdf/10.1186/s13677-017-0085-0?site=journalofcloudcomputing.springeropen.com"], "doi": ["https://doi.org/10.1186/s13677-017-0085-0"]}, {"id": "641a4d6e0408fd37866622f29ea285a3423651a7", "title": "Identification of differentially expressed genes, lncRNAs and miRNAs which are associated with tumor malignant phenotypes in hepatoblastoma patients", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/641a/4d6e0408fd37866622f29ea285a3423651a7.pdf"], "doi": []}, {"id": "448430faabd3cb7f37c5b740d44201977bba1e89", "title": "Sequencing and analysis of the complete organellar genomes of Parmales, a closely related group to Bacillariophyta (diatoms)", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s00294-016-0598-y", "https://www.ncbi.nlm.nih.gov/pubmed/27091756"]}, {"id": "4f0b7bb65a888059ddb56e9e51e98cffed1f95ed", "title": "Knockdown of long non-coding RNA PVT1 induces apoptosis and cell cycle arrest in clear cell renal cell carcinoma through the epidermal growth factor receptor pathway", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4f0b/7bb65a888059ddb56e9e51e98cffed1f95ed.pdf"], "doi": []}, {"id": "20d9526b65b621d28c3a63bb28ac88f96304d326", "title": "Comparative Plastid Genomes of Primula Species: Sequence Divergence and Phylogenetic Relationships", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20d9/526b65b621d28c3a63bb28ac88f96304d326.pdf"], "doi": []}, {"id": "3eb56532c85c118ea2ce87631d46eef44fbe1f74", "title": "Overexpression of TAZ promotes cell proliferation, migration and epithelial-mesenchymal transition in ovarian cancer", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3eb5/6532c85c118ea2ce87631d46eef44fbe1f74.pdf"], "doi": []}, {"id": "9726d81d91192cf679d88cbf36a7b38d2f2a5d34", "title": "Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated \u2018Omics Approach", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9726/d81d91192cf679d88cbf36a7b38d2f2a5d34.pdf"], "doi": []}, {"id": "298defaa4822746c3010ecce257ba3e6e5f6c8d4", "title": "Optimization of neural networks through grammatical evolution and a genetic algorithm", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.eswa.2016.03.012"]}, {"id": "68b392db0b23b4a017d8492f25df1e74c783fdba", "title": "RBind: computational network method to predict RNA binding sites", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/68b3/92db0b23b4a017d8492f25df1e74c783fdba.pdf"], "doi": []}, {"id": "caa131250ec84d03b691de6341c51de1a5b013d2", "title": "DISMISS: detection of stranded methylation in MeDIP-Seq data", "year": "2016", "pdf": ["https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1158-7"], "doi": ["https://doi.org/10.1186/s12859-016-1158-7", "https://www.ncbi.nlm.nih.gov/pubmed/27473283", "https://www.wikidata.org/entity/Q36090115"]}, {"id": "c45d12d079e909c6fce729d6d4448bf5e5782ecc", "title": "Use of long-lasting insecticide-treated bed nets in a population with universal coverage following a mass distribution campaign in Uganda", "year": "2016", "pdf": ["https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-016-1360-0?site=malariajournal.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12936-016-1360-0", "https://www.ncbi.nlm.nih.gov/pubmed/27267462"]}, {"id": "0c333a6506dd28c79c994f2857d303de94dc3f13", "title": "Language , Legal Origins , and Culture before the Courts : Cross-Citations between Supreme Courts in Europe", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0c33/3a6506dd28c79c994f2857d303de94dc3f13.pdf"], "doi": []}, {"id": "3cb569d58312c1a9fd137a92ba06de1256e309e8", "title": "Chromium isotope systematics in the Connecticut River", "year": "2017", "pdf": ["https://people.earth.yale.edu/sites/default/files/files/Planavsky/71_%20Wu%20Cr%20CG%202017.pdf"], "doi": ["https://doi.org/10.1016/j.chemgeo.2017.03.009"]}, {"id": "452ef1cfbf15d8475c0698ca6e9563850c2229fa", "title": "Variable presence of the inverted repeat and plastome stability in Erodium.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27192713", "https://doi.org/10.1093/aob%2Fmcw065"]}, {"id": "5950fd695b6bf445b7a20e8d733b7778509d87b2", "title": "Clinical Outcome Following Radiofrequency Denervation for Refractory Sacroiliac Joint Dysfunction Using the Simplicity III Probe: A 12-Month Retrospective Evaluation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/fd695b6bf445b7a20e8d733b7778509d87b2.pdf"], "doi": []}, {"id": "2fda76076e5e3f32df15d8403fae623f0481fd8d", "title": "IOTSim: A simulator for analysing IoT applications", "year": "2017", "pdf": ["https://rranjans.files.wordpress.com/2016/08/iotsim2016.pdf"], "doi": ["https://doi.org/10.1016/j.sysarc.2016.06.008"]}, {"id": "05df815ad6f846b7e3ef425d1f02b59f1c498cd2", "title": "Change Detection in Synthetic Aperture Radar Images Using a Multiscale-Driven Approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/05df/815ad6f846b7e3ef425d1f02b59f1c498cd2.pdf"], "doi": []}, {"id": "a938d6daf03649bc2323b8d6a31a0a40d1f0eef5", "title": "The Evolution of Line-1 in Vertebrates.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a938/d6daf03649bc2323b8d6a31a0a40d1f0eef5.pdf"], "doi": []}, {"id": "458723f61de9e9877e633dcf2a9be646ee4eb3ae", "title": "A risk assessment model for selecting cloud service providers", "year": "2016", "pdf": ["https://journalofcloudcomputing.springeropen.com/track/pdf/10.1186/s13677-016-0064-x"], "doi": ["https://doi.org/10.1186/s13677-016-0064-x"]}, {"id": "a859edfbf027a6a30bfa4c689f6bf98934fa7cba", "title": "Mining community and inferring friendship in mobile social networks", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.09.070"]}, {"id": "a64d5ff945c7d82b68ed900f2bc091d62edd4984", "title": "Topologically associated domains enriched for lineage-specific genes reveal expression-dependent nuclear topologies during myogenesis.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a64d/5ff945c7d82b68ed900f2bc091d62edd4984.pdf"], "doi": []}, {"id": "4fe67b1b32b2ad3774f5bd34c2b9e73f92bcd585", "title": "Diabetes mellitus medication use and catastrophic healthcare expenditure among adults aged 50+ years in China and India: results from the WHO study on global AGEing and adult health (SAGE)", "year": "2017", "pdf": ["https://bmcgeriatr.biomedcentral.com/track/pdf/10.1186/s12877-016-0408-x"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28077072", "https://doi.org/10.1186/s12877-016-0408-x"]}, {"id": "b6b085367b68af681bb6ae34bfb03d17d1c6438c", "title": "Complete Chloroplast Genome of Medicinal Plant Lonicera japonica: Genome Rearrangement, Intron Gain and Loss, and Implications for Phylogenetic Studies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b6b0/85367b68af681bb6ae34bfb03d17d1c6438c.pdf"], "doi": []}, {"id": "87b6483fb44b9f7cdb149c5a05a39e14e26eee12", "title": "Identification, Expression Analysis, and Target Prediction of Flax Genotroph MicroRNAs Under Normal and Nutrient Stress Conditions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87b6/483fb44b9f7cdb149c5a05a39e14e26eee12.pdf"], "doi": []}, {"id": "aa9ff7ec771a78e290a1de3929a60fd5e77be343", "title": "Elevated RNA expression of long non-coding HOTAIR promotes cell proliferation and predicts a poor prognosis in patients with diffuse large B cell lymphoma", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aa9f/f7ec771a78e290a1de3929a60fd5e77be343.pdf"], "doi": []}, {"id": "26debfcac7e301d420ce6da8d889202081624615", "title": "miR-145 sensitizes breast cancer to doxorubicin by targeting multidrug resistance-associated protein-1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/26de/bfcac7e301d420ce6da8d889202081624615.pdf"], "doi": []}, {"id": "a6e95ce5d51a27c6065634b7e74d50d73a5d710d", "title": "Sequencing, characterization and phylogenomics of the complete mitochondrial genome of Dactylogyrus lamellatus (Monogenea: Dactylogyridae).", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6e9/5ce5d51a27c6065634b7e74d50d73a5d710d.pdf"], "doi": []}, {"id": "df0f57f2342870e337632bb01303abab640a3f0b", "title": "The association of fecal microbiota and fecal, blood serum and urine metabolites in myalgic encephalomyelitis/chronic fatigue syndrome", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11306-016-1145-z"]}, {"id": "1de327b399d91fbfab6184cd831a850cc4131c97", "title": "Completion of the Chloroplast Genomes of Five Chinese Juglans and Their Contribution to Chloroplast Phylogeny", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1de3/27b399d91fbfab6184cd831a850cc4131c97.pdf"], "doi": []}, {"id": "92a321212eb4e0337aed678acae2e5763f85593f", "title": "Comparative Analysis of the Complete Chloroplast Genomes of Five Quercus Species", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/92a3/21212eb4e0337aed678acae2e5763f85593f.pdf"], "doi": []}, {"id": "475f6a35794097a69ca885f0e61820eae675157c", "title": "Higher tRNA gene duplication in mitogenomes of praying mantises (Dictyoptera, Mantodea) and the phylogeny within Mantodea.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29307803", "https://doi.org/10.1016/j.ijbiomac.2018.01.016"]}, {"id": "ce11b6180e8aa84ef6413d739e04d5d10fc61607", "title": "The Future of Cardiovascular Epidemiology.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27324358", "https://doi.org/10.1161/CIRCULATIONAHA.116.023528"]}, {"id": "65f55691cc3bad6ca224e2144083c9deb2b2cd1d", "title": "A Look into 30 Years of Malware Development from a Software Metrics Perspective", "year": "2016", "pdf": ["https://software.imdea.org/~juanca/papers/malsource_raid16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-45719-2_15"]}, {"id": "4c2b2067732b9665f1d7ad315ae938df1dd0a7e9", "title": "MiR-876-5p modulates head and neck squamous cell carcinoma metastasis and invasion by targeting vimentin", "year": "2018", "pdf": ["https://cancerci.biomedcentral.com/track/pdf/10.1186/s12935-018-0619-7"], "doi": ["https://doi.org/10.1186/s12935-018-0619-7", "https://www.ncbi.nlm.nih.gov/pubmed/30181714"]}, {"id": "c9567f8cbc0fc70ee55f5027ac7b8506084cdf0a", "title": "DNA Methylation and Urological Cancer, a Step Towards Personalized Medicine: Current and Future Prospects", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s40291-016-0231-2", "https://www.ncbi.nlm.nih.gov/pubmed/27501813"]}, {"id": "24df14dc85fc2115ca8968037b0e04814c40d2af", "title": "Semantic-based management of federated infrastructures for future internet experimentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/24df/14dc85fc2115ca8968037b0e04814c40d2af.pdf"], "doi": []}, {"id": "4ee04605cbf8ef7ada126986fddde4cc64fc929b", "title": "EGb761 Ameliorates Neuronal Apoptosis and Promotes Angiogenesis in Experimental Intracerebral Hemorrhage via RSK1/GSK3\u03b2 Pathway", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s12035-016-0363-8", "https://www.ncbi.nlm.nih.gov/pubmed/28185127"]}, {"id": "1689e00f1bd32c87e6e118b28a288c1b615dc0dc", "title": "Identification of dysregulated lncRNAs profiling and metastasis\u2010associated lncRNAs in colorectal cancer by genome\u2010wide analysis", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28857495", "https://doi.org/10.1002/cam4.1168"]}, {"id": "f640f9cf6410202b57a223a8a709da9085c86e24", "title": "Do employees benefit from collaborations between out of hours general practitioners and emergency departments?", "year": "2018", "pdf": ["https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-018-2919-y?site=bmchealthservres.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29454378", "https://doi.org/10.1186/s12913-018-2919-y"]}, {"id": "986e2a390006699b05e563f40583aa1bdafe5e5b", "title": "Impact of Long Non-Coding RNA HOTAIR Genetic Variants on the Susceptibility and Clinicopathologic Characteristics of Patients with Urothelial Cell Carcinoma", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/986e/2a390006699b05e563f40583aa1bdafe5e5b.pdf"], "doi": []}, {"id": "aff92b0fea9496c411512f80364983e293168907", "title": "Deep Learning For Brain Tumor Segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aff9/2b0fea9496c411512f80364983e293168907.pdf"], "doi": []}, {"id": "7335c7db4c4ef7f6b8072e030d0e5d62162d323b", "title": "Hierarchical Text Generation using an Outline", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08802.pdf"], "doi": []}, {"id": "1f1f782ff2be5d08a5ba0ef5d5efc856d8de8c7e", "title": "A context-sensitive correlated random walk: a new simulation model for movement", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1f1f/782ff2be5d08a5ba0ef5d5efc856d8de8c7e.pdf"], "doi": []}, {"id": "5ea313a114aa8144217cfddbac62a531d226f899", "title": "Postural effects on cerebral blood flow and autoregulation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ea3/13a114aa8144217cfddbac62a531d226f899.pdf"], "doi": []}, {"id": "e55eced6c417f3db2dadaec114523725a5b6863e", "title": "Protein kinase C-\u03b1 (PKC\u03b1) modulates cell apoptosis by stimulating nuclear translocation of NF-kappa-B p65 in urothelial cell carcinoma of the bladder", "year": "2017", "pdf": ["https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-017-3401-7"], "doi": ["https://doi.org/10.1186/s12885-017-3401-7", "https://www.ncbi.nlm.nih.gov/pubmed/28629334"]}, {"id": "60b7b3cfb045e689e94a6d01ee47cc42afdb0c5d", "title": "Upconversion Cross\u2010Correlation Spectroscopy of a Sandwich Immunoassay", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29732623", "https://doi.org/10.1002/chem.201801962"]}, {"id": "4e52d031b02dbb9aa049ffead90673ee89629cae", "title": "Trends of infodemiology studies: a scoping review.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29729073", "https://doi.org/10.1111/hir.12216"]}, {"id": "52ef8e3b17902a4f93403ed271e26247b428e697", "title": "Effectiveness of a new long-lasting insecticidal nets delivery model in two rural districts of Mozambique: a before\u2013after study", "year": "2018", "pdf": ["https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-018-2217-5?site=malariajournal.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12936-018-2217-5", "https://www.ncbi.nlm.nih.gov/pubmed/29402329"]}, {"id": "85d1720119bc98bd579e97a26126eb7edae0741f", "title": "Classification of Genes Based on Age-Related Differential Expression in Breast Cancer", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a146/f5f8fce88ae753251bc2794d9e07bda0721c.pdf"], "doi": []}, {"id": "26cb4157cb07c524723957d9686ff3902155a982", "title": "Seer Grid: Privacy and Utility Implications of Two-Level Load Prediction in Smart Grids", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7466137"]}, {"id": "fa4531394283d393d8a79fc3cb1af0218834334a", "title": "Combined wave-current scale model testing at FloWave", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fa45/31394283d393d8a79fc3cb1af0218834334a.pdf"], "doi": []}, {"id": "4dfdbd1d0def42d31f224f85880f9dc7a3045bbf", "title": "Molybdenum isotope fractionation in the mantle", "year": "2017", "pdf": ["http://dro.dur.ac.uk/21405/1/21405.pdf?DDD15+nfmn94+d700tmt=", "http://eprints.whiterose.ac.uk/108678/7/1-s2.0-S0016703716306652-main.pdf", "https://research-management.mq.edu.au/ws/portalfiles/portal/85914629/Publisher_version.pdf"], "doi": ["https://doi.org/10.1016/j.gca.2016.11.023"]}, {"id": "78377345e6692b836e676930eaec9c1136073c83", "title": "The LINK-A lncRNA Activates Normoxic HIF1\u03b1 Signaling in Triple-negative Breast Cancer", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1038/ncb3295", "https://www.ncbi.nlm.nih.gov/pubmed/26751287"]}, {"id": "679fc48629057d35e31f1261dbf18c906562009e", "title": "Vehicular Fog Computing: Enabling Real-Time Traffic Management for Smart Cities", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641431"]}, {"id": "1e7128126f1977834562babe83264a1f09624944", "title": "A review of the PD-1/PD-L1 checkpoint in bladder cancer: From mediator of immune escape to target for treatment.", "year": "2017", "pdf": ["http://www.einstein.yu.edu/uploadedFiles/Zang/UrologicOncology2017.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27816403", "https://doi.org/10.1016/j.urolonc.2016.10.004"]}, {"id": "faa204f74897d76fb26a1ac96222ea141bfb62bd", "title": "Highly Siderophile Element and Os Isotope Systematics of Volcanic Rocks at Divergent and Convergent Plate Boundaries and in Intraplate Settings", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/faa2/04f74897d76fb26a1ac96222ea141bfb62bd.pdf"], "doi": []}, {"id": "c5d753d56b03ffdda997226e1c9e844c0cfd1232", "title": "Towards uniform management of multi-layered cloud services by applying model-driven development", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.jss.2016.01.001"]}, {"id": "a9e9f1137ac42960bcbb5dee799979310b784861", "title": "ALIX and ESCRT-I/II function as parallel ESCRT-III recruiters in cytokinetic abscission", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9e9/f1137ac42960bcbb5dee799979310b784861.pdf"], "doi": []}, {"id": "55c24125053eedfe8b7c60b0ea91374a1c6f5e9e", "title": "Reining in the Big Promise of Big Data : Transparency , Inequality , and New Regulatory Frontiers", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/55c2/4125053eedfe8b7c60b0ea91374a1c6f5e9e.pdf"], "doi": []}, {"id": "377bdd5df6591aff1e7cec7fb396e1062044bf35", "title": "The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis", "year": "2017", "pdf": ["https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-017-0091-6?site=journalofbigdata.springeropen.com"], "doi": ["https://doi.org/10.1186/s40537-017-0091-6"]}, {"id": "79a48975c241cab6e22ce2607875ee1ef238b391", "title": "The Small GTPase RAC1/CED-10 Is Essential in Maintaining Dopaminergic Neuron Function and Survival Against \u03b1-Synuclein-Induced Toxicity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s12035-018-0881-7", "https://www.ncbi.nlm.nih.gov/pubmed/29429047"]}, {"id": "bf37781ad675bd9c8fb6531ee2d68dc53b97d8f8", "title": "Comparing generativist and constructivist accounts of the use of the past tense form in early child Japanese.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bf37/781ad675bd9c8fb6531ee2d68dc53b97d8f8.pdf"], "doi": []}, {"id": "99174d57b40b31e6e9633d88dad614f621b9e066", "title": "Patent information retrieval: approaching a method and analysing nanotechnology patent collaborations", "year": "2017", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/26716/Scientometric%202017%20paper.pdf?isAllowed=y&sequence=1", "https://researchportal.port.ac.uk/portal/files/6985516/Patent_information_retrieval.pdf"], "doi": ["https://doi.org/10.1007/s11192-017-2325-y", "https://www.ncbi.nlm.nih.gov/pubmed/28490824", "https://www.wikidata.org/entity/Q33592090"]}, {"id": "ccb79af5db07658b02c200e0d847295103bbe7fd", "title": "Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06787.pdf"], "doi": []}, {"id": "9474f937f6d6028d7921e6b887093538d86a165f", "title": "Evolution of mitochondrial genomes in Baikalian amphipods", "year": "2016", "pdf": ["https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-016-3357-z"], "doi": ["https://doi.org/10.1186/s12864-016-3357-z", "https://www.ncbi.nlm.nih.gov/pubmed/28105939"]}, {"id": "ef0779a53a485ad2097e24572fa006258b92a135", "title": "Research challenges in nextgen service orchestration", "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00764.pdf"], "doi": []}, {"id": "aed5b83c9c5af66f4423dae6363daa6f0a5e8d3a", "title": "The Novel Long Noncoding RNA TUSC7 Inhibits Proliferation by Sponging MiR-211 in Colorectal Cancer.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aed5/b83c9c5af66f4423dae6363daa6f0a5e8d3a.pdf"], "doi": []}, {"id": "41bc1a814d2218436c2c315dde23dd7a136a44b2", "title": "Geochemistry and mineralogy of the Oligo-Miocene sediments of the Valley of Lakes, Mongolia", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28450967", "https://doi.org/10.1007/s12549-016-0268-6"]}, {"id": "b47fba112ce2118605f2de362888dd8752488245", "title": "Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b47f/ba112ce2118605f2de362888dd8752488245.pdf"], "doi": []}, {"id": "b2b33472ce4ba5384e610c16c7e57cb6899390da", "title": "Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974742"]}, {"id": "91565229659527cb4c0a635614b5add5980a4b59", "title": "Host Shutoff in Influenza A Virus: Many Means to an End", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9156/5229659527cb4c0a635614b5add5980a4b59.pdf"], "doi": []}, {"id": "af1bad7bdb6b45eb0669d77324bcce81f7f914bb", "title": "Benzyl-2-Acetamido-2-Deoxy-\u03b1-d-Galactopyranoside Increases Human Immunodeficiency Virus Replication and Viral Outgrowth Efficacy In Vitro", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af1b/ad7bdb6b45eb0669d77324bcce81f7f914bb.pdf"], "doi": []}, {"id": "998d82e1de1d20953e3eba8f3bea7ca4871735d2", "title": "Comparative and phylogenetic analysis of the mitochondrial genomes in basal hymenopterans.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26879745", "https://doi.org/10.1038/srep20972"]}, {"id": "74839b838e393131c36bbc4cca9a5772d54f8325", "title": "Molecular phylogenetics, evolution of sexual systems and historical biogeography of Darwin's favourite orchids (Catasetinae) and Swan orchids (Cycnoches Lindl.)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7483/9b838e393131c36bbc4cca9a5772d54f8325.pdf"], "doi": []}, {"id": "1c7db28f0a755add1c8300373fd8702725f4c20e", "title": "Barriers and motivations for health insurance subscription in Cape Coast, Ghana: a qualitative study", "year": "2017", "pdf": ["http://archpublichealth.biomedcentral.com/track/pdf/10.1186/s13690-017-0192-x?site=archpublichealth.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28560036", "https://doi.org/10.1186/s13690-017-0192-x"]}, {"id": "afe4c3c0c2f669b4f90d9bb7ccde8bc6e47aef78", "title": "Integrative Network Analysis Combined with Quantitative Phosphoproteomics Reveals Transforming Growth Factor-beta Receptor type-2 (TGFBR2) as a Novel Regulator of Glioblastoma Stem Cell Properties.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26670566", "https://doi.org/10.1074/mcp.M115.049999"]}, {"id": "57876c7573f8de5a24b261769a02698df7c2d98c", "title": "An orthotopic xenograft model for high-risk non-muscle invasive bladder cancer in mice: influence of mouse strain, tumor cell count, dwell time and bladder pretreatment", "year": "2017", "pdf": ["https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-017-3778-3?site=bmccancer.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12885-017-3778-3", "https://www.ncbi.nlm.nih.gov/pubmed/29169339"]}, {"id": "726c9bddab9329b3ce20d65c6e4adbdb68a6a7f6", "title": "Structure of the hypusinylated eukaryotic translation factor eIF-5A bound to the ribosome", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eedc/161af2a62718f51010715b9af3aba3fd792c.pdf"], "doi": []}, {"id": "5e79ba4d8c4723b18a8ef04d031a004cfd147a76", "title": "A review of web-based support systems for students in higher education", "year": "2017", "pdf": ["https://ijmhs.biomedcentral.com/track/pdf/10.1186/s13033-017-0165-z?site=ijmhs.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29021822", "https://doi.org/10.1186/s13033-017-0165-z"]}, {"id": "869edb60f4dc4dc6dba7f6fc3e1384433ba5b06c", "title": "Geography and the Market for CEOs", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/869e/db60f4dc4dc6dba7f6fc3e1384433ba5b06c.pdf"], "doi": []}, {"id": "b2bad11b3615dbf148c5104e4d707f6fa58431a1", "title": "Bacterial clonal diagnostics as a tool for evidence-based empiric antibiotic selection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b2ba/d11b3615dbf148c5104e4d707f6fa58431a1.pdf"], "doi": []}, {"id": "6f43344bbb5334f8519148614626db77b776115e", "title": "The Exon Junction Complex Undergoes a Compositional Switch that Alters mRNP Structure and Nonsense-Mediated mRNA Decay Activity.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00789.pdf"], "doi": []}, {"id": "9ab8307fa26b7ffebcd35dfcb8c56882e94e01ec", "title": "SWAN: A service for interactive analysis in the cloud", "year": "2018", "pdf": ["https://cds.cern.ch/record/2158559/files/CERN-OPEN-2016-005.pdf"], "doi": ["https://doi.org/10.1016/j.future.2016.11.035"]}, {"id": "52bb178797abe17ecd6dc7899474e925ff30bd89", "title": "Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7268883"]}, {"id": "8688da13bc779a6cbc5205e5593ef459da171a5b", "title": "Alternative assembly of respiratory complex II connects energy stress to metabolic checkpoints", "year": "2018", "pdf": ["https://research-management.mq.edu.au/ws/portalfiles/portal/92244284/Publisher_version_open_access_.pdf"], "doi": ["https://doi.org/10.1038/s41467-018-04603-z", "https://www.ncbi.nlm.nih.gov/pubmed/29880867"]}, {"id": "360c0bd506a7a291da0c1a51d6735a440b424cb0", "title": "Development of TaqMan probes targeting the four major celiac disease epitopes found in \u03b1-gliadin sequences of spelt (Triticum aestivum ssp. spelta) and bread wheat (Triticum aestivum ssp. aestivum)", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0222-2?site=plantmethods.biomedcentral.com", "https://static-content.springer.com/esm/art:10.1186%2Fs13007-017-0222-2/MediaObjects/13007_2017_222_MOESM2_ESM.pdf"], "doi": ["https://doi.org/10.1186/s13007-017-0222-2", "https://www.ncbi.nlm.nih.gov/pubmed/28912827"]}, {"id": "6036301b65f525ea87de3793c66eb1980a095d91", "title": "Checkpoint kinase inhibitor AZD7762 strongly sensitises urothelial carcinoma cells to gemcitabine", "year": "2017", "pdf": ["https://jeccr.biomedcentral.com/track/pdf/10.1186/s13046-016-0473-1?site=jeccr.biomedcentral.com", "https://kar.kent.ac.uk/60383/1/Checkpoint%20kinase%20inhibitor%20AZD7762%20strongly%20sensitises%20urothelial%20carcinoma%20cells%20to%20gemcitabine.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28049532", "https://doi.org/10.1186/s13046-016-0473-1"]}, {"id": "b6afbffecae55e5db9a48c58e085435dc77c2993", "title": "Effects of novel HDAC inhibitors on urothelial carcinoma cells", "year": "2018", "pdf": ["https://clinicalepigeneticsjournal.biomedcentral.com/track/pdf/10.1186/s13148-018-0531-y"], "doi": ["https://doi.org/10.1186/s13148-018-0531-y", "https://www.ncbi.nlm.nih.gov/pubmed/30064501"]}, {"id": "7f23594f41fdd134020655594716da3e31a4f42b", "title": "Community characteristics associated with where urgent care centers are located: a cross-sectional analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cf50/6fed0be7a42946c6d8393dd2260681b91b60.pdf"], "doi": []}, {"id": "286c8549f2a2c24571580a8f4a72e5499736d3b7", "title": "The Race Between Preferences and Technology", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/286c/8549f2a2c24571580a8f4a72e5499736d3b7.pdf"], "doi": []}, {"id": "212fb9ad5f6850489b54a32a0fb9a8fdda8c32f3", "title": "Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05844.pdf"], "doi": []}, {"id": "85cc102d558dc270195f2c2ca1a17cc07bea26af", "title": "Excised segments of rat small intestine in Ussing chamber studies: A comparison of native and stripped tissue viability and permeability to drugs.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27073083", "https://doi.org/10.1016/j.ijpharm.2016.03.063"]}]} \ No newline at end of file +{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "citations": [{"id": "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "title": "Large Variability Surveillance Camera Face Database", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579704"]}, {"id": "ec9f2c62baebfb96e8e69596b12f25011e35ae47", "title": "Interpretation Rules and Good Faith as Obstacles to the UK ' s Ratification of the CISG and to the Harmonization of Contract Law in Europe", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ec9f/2c62baebfb96e8e69596b12f25011e35ae47.pdf"], "doi": []}, {"id": "c26016dd1bce7048ea511413e4e01a19116ca0d7", "title": "Representation and generalization in autonomous reinforcement learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c260/16dd1bce7048ea511413e4e01a19116ca0d7.pdf"], "doi": []}, {"id": "faa27bfb44f775975f40900457df73587164f4fe", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1109/btas.2017.8272731"]}, {"id": "5e92cc96e8e5c00dcaffc87512e9fd7213acb5bf", "title": "Identity Processes and Intrinsic and Extrinsic Goal Pursuits: Directionality of Effects in College Students.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28039564", "https://doi.org/10.1007/s10964-016-0626-8"]}, {"id": "1e5d11552550f455440a2cfa34ba071cb2e0be2d", "title": "Knowledge of HIV / AIDS , attitudes towards sexual risk behaviour and perceived behavioural control among college students in Botswana", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1e5d/11552550f455440a2cfa34ba071cb2e0be2d.pdf"], "doi": []}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "0626908dd710b91aece1a81f4ca0635f23fc47f3", "title": "Rethinking the Inception Architecture for Computer Vision", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780677"]}, {"id": "27be15ddbb17af93157d01a6eab0f5f21c0d6d6b", "title": "USING INFORMATION TO IMPROVE COURSE SCHEDULES 1 Using Information on Unconstrained Student Demand To Improve University Course Schedules", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27be/15ddbb17af93157d01a6eab0f5f21c0d6d6b.pdf"], "doi": []}, {"id": "c8429becfbc39156c42833171627136033837a0a", "title": "The reasoned/reactive model: A new approach to examining eating decisions among female college dieters and nondieters.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27448513", "https://doi.org/10.1016/j.eatbeh.2016.07.011"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "68d5de86745910727b910573ba1b829afc13da8b", "title": "Affirming independence: Exploring mechanisms underlying a values affirmation intervention for first-generation students.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bde6/ff6089722c8e8f18f9879d73bb9f1ffa85bc.pdf"], "doi": []}, {"id": "c0da9c4d66347b601fb678093e6fd1f25756d95f", "title": "A confirmatory factor analysis of the PTSD checklist 5 in veteran and college student samples", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28578182", "https://doi.org/10.1016/j.psychres.2017.05.035"]}, {"id": "6b9aa288ce7740ec5ce9826c66d059ddcfd8dba9", "title": "BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/BNU-LSVED-2.pdf"], "doi": ["http://doi.org/10.1016/j.image.2017.08.012"]}, {"id": "50a962be183d6772d3c26fe23e2fdf48017a8928", "title": "Factor structure and construct validity of the Generalized Anxiety Disorder 7-item (GAD-7) among Portuguese college students.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/50a9/62be183d6772d3c26fe23e2fdf48017a8928.pdf"], "doi": []}, {"id": "cae912870346e3a03ed40c94aa4a2d4e5fed514a", "title": "The Family System and Depressive Symptoms during the College Years: Triangulation, Parental Differential Treatment, and Sibling Warmth as Predictors.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27282554", "https://doi.org/10.1111/jmft.12175"]}, {"id": "cce502c753b80ca390665f8ef44d6b980b686dc8", "title": "Posttraumatic Stress, Coping Flexibility, and Risky Drinking Among Trauma-Exposed Male and Female College Students: The Mediating Effect of Delay of Gratification.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28857646", "https://doi.org/10.1080/10826084.2017.1342658"]}, {"id": "e017d1926a7a2c3c7a21c2483db2ba013aa3dba2", "title": "Cross-validation of the Student Perceptions of Team-Based Learning Scale in the United States", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e017/d1926a7a2c3c7a21c2483db2ba013aa3dba2.pdf"], "doi": []}, {"id": "f6c8de941330197cc120aec69c2dc957b9da69b2", "title": "Statistical Parametric Mapping The Analysis Of Functional Brain Images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f6c8/de941330197cc120aec69c2dc957b9da69b2.pdf"], "doi": []}, {"id": "b42aca488af066746555983b6c1cbd1256a0025e", "title": "The Relation of Sleep, Distress, and Coping Strategies\u2014What Male and Female Students Can Learn from Each Other?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b42a/ca488af066746555983b6c1cbd1256a0025e.pdf"], "doi": []}, {"id": "688396e6355cd2b67ba50d90156c65d9e72ec3f6", "title": "College of Psychiatric and Neurologic Pharmacists Abstracts.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28726566", "https://doi.org/10.1177/0897190017708502"]}, {"id": "1fa1c38803b48dba3775da2f98409905cf4ac434", "title": "Assessing Learning Styles of Graduate Entry Nursing Students as a Classroom Research Activity: A quantitative research study.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27710825", "https://doi.org/10.1016/j.nedt.2016.09.016"]}, {"id": "4702183a1592c3517af66a20c498b426e670f875", "title": "Associations between students ' perceptions of physical education teachers ' interpersonal styles and students ' wellness , knowledge , performance , and intentions to persist at physical activity : A self-determination theory approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4702/183a1592c3517af66a20c498b426e670f875.pdf"], "doi": []}, {"id": "1d63668c2ce9b1d11dca4d266e46621a902539b3", "title": "Elite or middling? International students and migrant diversification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1d63/668c2ce9b1d11dca4d266e46621a902539b3.pdf"], "doi": []}, {"id": "8792c0b34d43c964b62f8cdaa915e0a6b1ca852c", "title": "Construction Research of MOOC-based O 2 O Teaching System for College English Cross-cultural Knowledge", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8792/c0b34d43c964b62f8cdaa915e0a6b1ca852c.pdf"], "doi": []}, {"id": "842bfd033461560c16bf1f879d3e18512d7da3e3", "title": "College Admissions in China : A Mechanism Design Perspective", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/842b/fd033461560c16bf1f879d3e18512d7da3e3.pdf"], "doi": []}, {"id": "5fd24d0aa5c5d376831c54b808fd49be33a02ada", "title": "College Admissions in China : A Mechanism Design Perspective", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5fd2/4d0aa5c5d376831c54b808fd49be33a02ada.pdf"], "doi": []}, {"id": "e3db77779d39ce621536b9a875785a0a436dbfe0", "title": "Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s40593-016-0131-y"]}, {"id": "f9b4d935c18a2ab55ad06e713fb9070194d90051", "title": "Weight-loss strategies of South African female university students and comparison of weight management-related characteristics between dieters and non-dieters", "year": "2016", "pdf": ["https://bmcpublichealth.biomedcentral.com/track/pdf/10.1186/s12889-016-3576-x"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27586376", "https://doi.org/10.1186/s12889-016-3576-x"]}, {"id": "628e62d492936515e88d4bd998fa36ba3f0daada", "title": "Entrepreneurship , College and Credit : The Golden Triangle", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/628e/62d492936515e88d4bd998fa36ba3f0daada.pdf"], "doi": []}, {"id": "0f0386faa6643b3fb11450ef2c54f293953b8601", "title": "More Gains Than Score Gains ? High School Quality and College Success", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f03/86faa6643b3fb11450ef2c54f293953b8601.pdf"], "doi": []}, {"id": "3cb3cb57f3bc8dda4e0468f0f890277b63b1d8cf", "title": "The Mizan meta-memory and meta-concentration scale for students (MMSS): a test of its psychometric validity in a sample of university students", "year": "2018", "pdf": ["https://bmcpsychology.biomedcentral.com/track/pdf/10.1186/s40359-018-0275-7"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30563573", "https://doi.org/10.1186/s40359-018-0275-7"]}, {"id": "89230c8b9a7a99993840033bd27a069b964bc7c4", "title": "The Realistic Predicament and Countermeasures of the Entrepreneurial Innovation Ability Training in Higher Vocational Students", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8923/0c8b9a7a99993840033bd27a069b964bc7c4.pdf"], "doi": []}, {"id": "bd8b480185008a565de0bf1e1954d9e67cf50b86", "title": "A computer vision based image processing system for depression detection among students for counseling Namboodiri", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bd8b/480185008a565de0bf1e1954d9e67cf50b86.pdf"], "doi": []}, {"id": "6f947d59e54b461fb24ceb1cbe5f377f2157730d", "title": "Service user involvement in giving mental health students feedback on placement: a participatory action research study", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6f94/7d59e54b461fb24ceb1cbe5f377f2157730d.pdf"], "doi": []}, {"id": "bb98b37d2370409de0dd909950cf43f26a6ea357", "title": "Factors influencing students' satisfaction in using wireless internet in higher education: Cross-validation of TSM", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1108/EL-07-2016-0150"]}, {"id": "54456602b69bca50e5a8e6a87b963be0a3d10027", "title": "Gender or Proactivity? The Instance of Information Systems Students' Occupational Self-Efficacy", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5445/6602b69bca50e5a8e6a87b963be0a3d10027.pdf"], "doi": []}, {"id": "9381c0124c90db6f5c16cd5bacf4ecf1e054ffd9", "title": "A general equilibrium analysis of state and private colleges and access to higher education in the U . S .", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9381/c0124c90db6f5c16cd5bacf4ecf1e054ffd9.pdf"], "doi": []}, {"id": "71fb60d13275347047245a09a36fb796eb997805", "title": "The work \u2013 study interface : similarities and differences between ethnic minority and ethnic majority students", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71fb/60d13275347047245a09a36fb796eb997805.pdf"], "doi": []}, {"id": "d986a1ebcdb98ebd34cc9aa6ef1d73999fd69f6a", "title": "Using Student Logs to Build Bayesian Models of Student Knowledge and Skills", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d986/a1ebcdb98ebd34cc9aa6ef1d73999fd69f6a.pdf"], "doi": []}, {"id": "b1eb07169a40461d6057fb286186bed57391cf7c", "title": "Monitor Student\u2019s Presence in Classroom", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b1eb/07169a40461d6057fb286186bed57391cf7c.pdf"], "doi": []}, {"id": "080a2e3c7559a09f85b612287bdf2d619c573f63", "title": "The Dyslexia Dilemma: A History of Ignorance, Complacency and Resistance in Colleges of Education", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/080a/2e3c7559a09f85b612287bdf2d619c573f63.pdf"], "doi": []}, {"id": "8d94203c98bda58ed560be4b50c31a6aba8e14fb", "title": "Enhancing learning and engagement through embodied interaction within a mixed reality simulation", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.compedu.2016.01.001"]}, {"id": "6537ba5cb55155bac5b8e83983d58e003b486ecd", "title": "The Relationship Between Using Study Island Supplemental Math Software and Third, Fourth, and Fifth Grade Students' Mathematics Achievement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6537/ba5cb55155bac5b8e83983d58e003b486ecd.pdf"], "doi": []}, {"id": "145f6b2c8e41c3a0bfab4801f79d7256b20b1ca7", "title": "Delay of Gratification : A Construct Validation with High School Students", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/145f/6b2c8e41c3a0bfab4801f79d7256b20b1ca7.pdf"], "doi": []}, {"id": "f04826cd9f06fa7fa4a3dde88f97f1d4f6457ad7", "title": "Running head : ATTRIBUTIONAL RETRAINING 1 Attribution-based Motivation Treatment Efficacy in an Online Learning Environment for Students Who Differ in Cognitive Elaboration", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f048/26cd9f06fa7fa4a3dde88f97f1d4f6457ad7.pdf"], "doi": []}, {"id": "453d166596d97b635e3802e7d3d97b9584acbf87", "title": "Development of Want-Need Perception Scale for Primary and Secondary School Students I\u0307lk ve Ortaokul O\u0308g\u0306rencileri ic\u0327in I\u0307stek-I\u0307htiyac\u0327 Alg\u0131 O\u0308lc\u0327eg\u0306inin Gelis\u0327tirilmesi", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/453d/166596d97b635e3802e7d3d97b9584acbf87.pdf"], "doi": []}, {"id": "af9d85225d4ba736e38af6988cc522643e9f1c98", "title": "Commuting, transitions and belonging: the experiences of students living at home in their first year at university", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6ea0/d120e1079fd8e2b7b0828aac271db69016ff.pdf"], "doi": []}, {"id": "31bb6541829317101fcd60737902d84d6a141090", "title": "Didactic Student-Friendly Approaches to More Effective Teaching of the Fundamentals of Scientific Research in a Digital Era of Scientometrics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/31bb/6541829317101fcd60737902d84d6a141090.pdf"], "doi": []}, {"id": "1fd852f6d519fdc8d5f8ad59bc26490779a4ce9c", "title": "Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review", "year": "2017", "pdf": ["http://shura.shu.ac.uk/16176/8/Tsoutsanis-Performance-basedHealthMonitoring(AM).pdf"], "doi": ["https://doi.org/10.1016/j.apenergy.2017.04.048"]}, {"id": "481d70ed62bed5bc26f7e806084612ee622eee48", "title": "A structural equation model looking at student\u2019s participatory behavior and their success in Calculus I", "year": "2017", "pdf": ["https://stemeducationjournal.springeropen.com/track/pdf/10.1186/s40594-017-0093-0?site=stemeducationjournal.springeropen.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30631680", "https://doi.org/10.1186/s40594-017-0093-0"]}, {"id": "1de7c2b64eab88d354442b066b51cf0f4b3226b1", "title": "Attitudes towards sexual coercion by Polish high school students: links with risky sexual scripts, pornography use, and religiosity", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1de7/c2b64eab88d354442b066b51cf0f4b3226b1.pdf"], "doi": []}, {"id": "c1ee794111e99de40f7143b4270a198278a8525d", "title": "Self-Determination Theory in Work Organizations : The State of a Science", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c1ee/794111e99de40f7143b4270a198278a8525d.pdf"], "doi": []}, {"id": "6894eae802093f354f32dab1a0072fe937eb5032", "title": "Healthcare Database Management for Health Informatics and Information Management Students: Challenges and Instruction Strategies\u2014Part 1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0622/7deb64113cbc81fda84889201f4eceb71e63.pdf"], "doi": []}, {"id": "b664cd5d16ea28968f31f899f20efc8ea97f4d0d", "title": "Teachers' Perceptions of Formal Testing of Students in Grades K-2", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b664/cd5d16ea28968f31f899f20efc8ea97f4d0d.pdf"], "doi": []}, {"id": "52bf867def9dc4c3615b77c5b8e28a1c314e8407", "title": "Computer-Assisted Synthetic Planning: The End of the Beginning.", "year": "2016", "pdf": ["https://moodle.haverford.edu/pluginfile.php/74411/mod_resource/content/0/Angewandte%20Chemie%20International%20Edition-1.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27062365", "https://doi.org/10.1002/anie.201506101"]}, {"id": "a6ee9fa4dc9366af18d8a0e861ca3b2fd2b2ce42", "title": "The Human Connectome Project's neuroimaging approach", "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/50950/1/GlasserNN.pdf", "http://www.nature.com/neuro/journal/v19/n9/pdf/nn.4361.pdf"], "doi": ["https://doi.org/10.1038/nn.4361", "https://www.ncbi.nlm.nih.gov/pubmed/27571196"]}, {"id": "498238a3bd5fd322fc3ce1572e33bbe3853a356f", "title": "A Brief Survey of Deep Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05866.pdf"], "doi": []}, {"id": "e06ec9eb14f644dab792a78241603d7e9afdc6a0", "title": "Effects of Heterogeneous Mobility on D2D- and Drone-Assisted Mission-Critical MTC in 5G", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7842416"]}, {"id": "a7fce24eb350e592338ffa9f3b7f8b2a8887b0dd", "title": "HUMAN DECISIONS AND MACHINE PREDICTIONS.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ebe7/c45cdd9ef9d98b3684f116653b473cf9f185.pdf"], "doi": []}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "826e4fedc185177d44719a18a695513d73b4ae65", "title": "Measuring positive attitudes toward persons with dementia: A validation of the Allophilia scale.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26892304", "https://doi.org/10.1177/1471301216633247"]}, {"id": "e93a28978696a8ffff2ad6b93725555445e019b8", "title": "The Rules of Facebook Friendship : A Two-Stage Examination of Interaction Rules in Close , Casual , and Acquaintance Friendships", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e93a/28978696a8ffff2ad6b93725555445e019b8.pdf"], "doi": []}, {"id": "9aa15d8c5ff7797a0de8b8ba456ce4888f16e826", "title": "Associations Among Psychologically Controlling Parenting, Autonomy, Relatedness, and Problem Behaviors During Emerging Adulthood.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28388337", "https://doi.org/10.1080/00223980.2017.1305323"]}, {"id": "901c0ea04ceebd8f547a376667d6fc31f6537a00", "title": "Brand Personality , Consumer Satisfaction , and Loyalty : A Perspective from Denim Jeans Brands", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/901c/0ea04ceebd8f547a376667d6fc31f6537a00.pdf"], "doi": []}, {"id": "b27272a1cc686d6911afe9a997f42e627bf345fe", "title": "The Long-Run Impacts of Same-Race Teachers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b272/72a1cc686d6911afe9a997f42e627bf345fe.pdf"], "doi": []}, {"id": "05ca98620e49e7fb5db92f38685d02b9c63cb60c", "title": "Self-esteem, diet self-efficacy, body mass index, and eating disorders: modeling effects in an ethnically diverse sample.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26703131", "https://doi.org/10.1007/s40519-015-0244-6"]}, {"id": "9e18e7f9e18acbf46a26e27167a28edd342aaaba", "title": "Reassessing wanting and liking in the study of mesolimbic influence on food 5 intake 6 7", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9e18/e7f9e18acbf46a26e27167a28edd342aaaba.pdf"], "doi": []}, {"id": "40d65447e39538214c2511d82f02dca55206681c", "title": "ViZig: Anchor Points based Non-Linear Navigation and Summarization in Educational Videos", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2856788"]}, {"id": "5854233084f2fb5fc0216d13ac8d8d1a41365281", "title": "Narcissistic Vulnerability and Grandiosity as Mediators Between Insecure Attachment and Future Eating Disordered Behaviors: A Prospective Analysis of Over 2,000 Freshmen.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26613236", "https://doi.org/10.1002/jclp.22237"]}, {"id": "613c9ab9e119e1c1f82d57f8a2c9b95e7cb8a17d", "title": "Dimensional structure and measurement invariance of the Interpersonal Reactivity Index (IRI) across gender.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/613c/9ab9e119e1c1f82d57f8a2c9b95e7cb8a17d.pdf"], "doi": []}, {"id": "9caaecc40ce666749157ea025d308c1304b52fa4", "title": "Gendered pathways from child sexual abuse to sexual aggression victimization and perpetration in adolescence and young adulthood.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27771010", "https://doi.org/10.1016/j.chiabu.2016.10.004"]}, {"id": "e803ca9b2fa5979e7040a473c40a6142d3ebf693", "title": "Longitudinal pathways of sexual victimization, sexual self-esteem, and depression in women and men.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27669161", "https://doi.org/10.1037/tra0000198"]}, {"id": "695c144b504a9ef749baa107935b2043fbc0ab42", "title": "Extending expectancy-value theory predictions of achievement and aspirations in science : Dimensional comparison processes and expectancy-by-value interactions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/695c/144b504a9ef749baa107935b2043fbc0ab42.pdf"], "doi": []}, {"id": "53b85fe56b7d9f33f0fd2c0315e3e82e450d8958", "title": "Psychometric properties of a brief version of the Penn State Worry Questionnaire in African Americans and European Americans.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/53b8/5fe56b7d9f33f0fd2c0315e3e82e450d8958.pdf"], "doi": []}, {"id": "593e32477845a54d5c57d7f148ae7858e4c0bb91", "title": "Mindfulness in Information Technology Use: Definitions, Distinctions, and a New Measure", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/593e/32477845a54d5c57d7f148ae7858e4c0bb91.pdf"], "doi": []}, {"id": "ac21e2821431e60ef77916865307d07cbeb39149", "title": "Sense of Community , Perceived Learning , and Achievement Relationships in an Online Graduate Course", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac21/e2821431e60ef77916865307d07cbeb39149.pdf"], "doi": []}, {"id": "fa4b505736ab5bba0b78f95da13073e2c3cfdb1a", "title": "Estimating the Value of Higher Education Financial Aid : Evidence from a Field Experiment \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9135/d666035529d5bba3000d713b4467d54f4921.pdf"], "doi": []}, {"id": "fa6c9cda93bc0cb3c849df10c3ebbe11ec7c4585", "title": "Hypermedia navigation: Differences between spatial cognitive styles", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.chb.2016.09.038"]}, {"id": "b4a3c89f257b57f2bef6092560f22fcdeb676b3c", "title": "Multilateral mechanism analysis of interprovincial migration flows in China", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b4a3/c89f257b57f2bef6092560f22fcdeb676b3c.pdf"], "doi": []}, {"id": "6ef223afaa613874f4686e0f9cc9fc4aa159805f", "title": "Threat causes liberals to think like conservatives", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef2/23afaa613874f4686e0f9cc9fc4aa159805f.pdf"], "doi": []}, {"id": "272083ef9a02b14ba026575c4bb80743172226bb", "title": "The Invention Coach: Integrating Data and Theory in the Design of an Exploratory Learning Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2720/83ef9a02b14ba026575c4bb80743172226bb.pdf"], "doi": []}, {"id": "576ffd3f6374251302203a17f2a692c30dba02c1", "title": "\u201cLocation is surprisingly a lot more important than you think\u201d: a critical thematic analysis of push and pull factor messaging used on Caribbean offshore medical school websites", "year": "2017", "pdf": ["http://bmcmededuc.biomedcentral.com/track/pdf/10.1186/s12909-017-0936-x?site=bmcmededuc.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28578670", "https://doi.org/10.1186/s12909-017-0936-x"]}, {"id": "bff2bc19de645f0a9f40e64f1f3945ccbc50f7ea", "title": "Measuring variations in bicultural identity across U.S. ethnic and generational groups: Development and validation of the Bicultural Identity Integration Scale-Version 2 (BIIS-2).", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bff2/bc19de645f0a9f40e64f1f3945ccbc50f7ea.pdf"], "doi": []}, {"id": "0563f9202852e47fc2bee713ea1699ecd7547b47", "title": "Dissociated neural substrates underlying impulsive choice and impulsive action", "year": "2016", "pdf": ["http://cbls.bnu.edu.cn/pdf/Wang_2016_NeuroImage-2.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811916300416?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.neuroimage.2016.04.010", "https://www.ncbi.nlm.nih.gov/pubmed/27083527", "https://www.wikidata.org/entity/Q46450390"]}, {"id": "7395d7bc88043f3b72c35eae87778fa7c7946897", "title": "Ex-ante fairness in the Boston and serial dictatorship mechanisms under pre-exam and post-exam preference submission", "year": "2017", "pdf": ["http://jaimielien.weebly.com/uploads/1/9/6/5/19659049/ex-ante_fairness_and_preference_submission_timing_20150228.pdf", "http://jzheng.weebly.com/uploads/1/9/6/6/19665907/ex-ante_fairness_20160706_final_v2.pdf", "http://jzheng.weebly.com/uploads/1/9/6/6/19665907/ex-ante_fairness_pst_20160109_final.pdf"], "doi": ["https://doi.org/10.1016/j.geb.2016.07.003"]}, {"id": "91303fef62f6e64be92743b897943fda12ee81cc", "title": "Clarifying the Link between Mastery Goals and Social Comparisons in Classroom Settings", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9130/3fef62f6e64be92743b897943fda12ee81cc.pdf"], "doi": []}, {"id": "bcd83b39699de9c10d7e4753c929d661029f22ec", "title": "Weighted Lagrange \u03b5-twin support vector regression", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2016.01.038"]}, {"id": "8b1c4d938d1be3509316abb18b175b695c88e051", "title": "A Feature Selection Method for Projection Twin Support Vector Machine", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-017-9624-4"]}, {"id": "de375ac856f60c3f6e437f3870464495a3be68dc", "title": "Generalisability theory analyses of concept mapping assessment scores in a problem-based medical curriculum.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27295477", "https://doi.org/10.1111/medu.13054"]}, {"id": "a40c72499a769dbf21aa4523942730bb31b27594", "title": "Resources , experience , and perseverance in entrepreneurs ' perceived likelihood of success in an emerging economy", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d552/63a3a5f242bbfbe9004d24e2a5b8a79c290c.pdf"], "doi": []}, {"id": "9803e5e2baf3438c828d375d8d3146b8ee154a8d", "title": "A Hybrid Open/Closed Lab for CS 1", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3059014"]}, {"id": "f10bc3b74b4bdc4219ebe986bd830fd47b849bd9", "title": "Reading and Language in the Early Grades", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f10b/c3b74b4bdc4219ebe986bd830fd47b849bd9.pdf"], "doi": []}, {"id": "0fd1715da386d454b3d6571cf6d06477479f54fc", "title": "A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0fd1/715da386d454b3d6571cf6d06477479f54fc.pdf"], "doi": []}, {"id": "540f6dad155aaa1cba0cd4e50b66825fc999dd13", "title": "Fitness, fatness and the reallocation of time between children\u2019s daily movement behaviours: an analysis of compositional data", "year": "2017", "pdf": ["http://ijbnpa.biomedcentral.com/track/pdf/10.1186/s12966-017-0521-z?site=ijbnpa.biomedcentral.com", "https://cronfa.swan.ac.uk/Record/cronfa33645/Download/0033645-10052017140831.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28486972", "https://doi.org/10.1186/s12966-017-0521-z"]}, {"id": "4d0e666ba7c8dae14af462dabed6c62409aba7cd", "title": "Home Use of a Neural-connected Sensory Prosthesis Provides the Functional and Psychosocial Experience of Having a Hand Again", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29959334", "https://doi.org/10.1038/s41598-018-26952-x"]}, {"id": "90117fba9b0fcdcbe00bf9888f10687be14d3074", "title": "Training Psychiatry Residents in Professionalism in the Digital World", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11126-016-9473-8", "https://www.ncbi.nlm.nih.gov/pubmed/27796921"]}, {"id": "6020cae3199e08582ea7ba4a9ebf660b126eb02b", "title": "Deep ToC: A New Method for Estimating the Solutions of PDEs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08625.pdf"], "doi": []}, {"id": "73e922f60eaddec637e973e2e7c92cb0411d3d2d", "title": "Probabilistic human mobility model in indoor environment", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727389"]}, {"id": "002015cbe59a95d0fcb651d9e436ebb84c227138", "title": "Variable Pricing and the Cost of Renewable Energy by Imelda ,", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0020/15cbe59a95d0fcb651d9e436ebb84c227138.pdf"], "doi": []}, {"id": "491ea47ba85927a5ce59b62e90f8d371f48b4955", "title": "Penalizing Unfairness in Binary Classification.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00044.pdf"], "doi": []}, {"id": "75116559568a1627326d29f5b0f8c06ab08b4036", "title": "Assortment Planning in School Choice [ Preliminary Draft ]", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7511/6559568a1627326d29f5b0f8c06ab08b4036.pdf"], "doi": []}, {"id": "c7c643b36fd0da1684f198758a6a7fabdc649545", "title": "The Persistence of Division : Geography , Institutions , and Online Friendship Ties", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c7c6/43b36fd0da1684f198758a6a7fabdc649545.pdf"], "doi": []}, {"id": "cab5feb817594fa4c2b5f26b7db8c9f95214b76d", "title": "Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8421576"]}, {"id": "9ad9f0502911ea3804f3fb40086fb80ee173000e", "title": "Anatomy of STEM teaching in North American universities", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1126/science.aap8892", "https://digitalcommons.otterbein.edu/cgi/viewcontent.cgi?article=1000&context=fac_articles&filename=0&type=additional", "https://www.ncbi.nlm.nih.gov/pubmed/29599232"]}, {"id": "a9d0d051cd0c39bfb9149cd046048c5594d1f0ce", "title": "An experiment with separate formative and summative rubrics in educational peer assessment", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7757597"]}, {"id": "930045dca448cd82bb718144a9696c88cc0bb5a6", "title": "Influence of Early Onset of Alcohol Use on the Development of Adolescent Alcohol Problems: a Longitudinal Binational Study", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11121-016-0710-z", "https://www.ncbi.nlm.nih.gov/pubmed/27699620"]}, {"id": "7a341c4873b70eca86a9e45141ae2df168bbdacd", "title": "Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27581007", "https://doi.org/10.1007/s10661-016-5558-y"]}, {"id": "8f7016f0bb172114efe533f457abb6e8ffb6c2d3", "title": "SUPPORT NEEDS OF CHILDREN WITH INTELLECTUAL AND DEVELOPMENTAL DISABILITIES: AGERELATED IMPLICATIONS FOR ASSESSMENT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8f70/16f0bb172114efe533f457abb6e8ffb6c2d3.pdf"], "doi": []}, {"id": "6e231ac94022e52be28a440ef4d38c6c2da30d75", "title": "A PROSPECTIVE INVESTIGATION OF JOY AND TRAIT GRATITUDE", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6e23/1ac94022e52be28a440ef4d38c6c2da30d75.pdf"], "doi": []}, {"id": "fce673e4b9778c3adb63c9b6492627a8b25cd05a", "title": "Panel Smooth Transition Regression Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fce6/73e4b9778c3adb63c9b6492627a8b25cd05a.pdf"], "doi": []}, {"id": "c28cb8b11be05ba262334e0e4264e296f93e9882", "title": "Associations between teacher-reported school climate and depressive symptoms in Australian adolescents : a 5-year longitudinal study", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c28c/b8b11be05ba262334e0e4264e296f93e9882.pdf"], "doi": []}, {"id": "34c07382a4fb07e266e4913bb41468a58e5b5dff", "title": "WORKING PAPER SERIES ESTIMATING THE EFFECTS OF A LARGE FOR-PROFIT CHARTER SCHOOL OPERATOR", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34c0/7382a4fb07e266e4913bb41468a58e5b5dff.pdf"], "doi": []}, {"id": "f7c6efe62508c7771fb41820401bb704810661a7", "title": "Representation of Multiple Body Parts in the Missing-Hand Territory of Congenital One-Handers", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/1559162/1/Makin_1-s2.0-S0960982217303524-main.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0960982217303524", "https://doi.org/10.1016/j.cub.2017.03.053", "https://www.ncbi.nlm.nih.gov/pubmed/28434861"]}, {"id": "1cec7523f9104a67b114b69d20aeb4cbeb8b73ac", "title": "Palmprint Identification Using an Ensemble of Sparse Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8244323"]}, {"id": "a1850837382a77318e73ee093bf3912bc40f937b", "title": "Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02314.pdf"], "doi": []}, {"id": "b52afb9f2ebcb3a7e06e9bf3a8a3dfc060b01bf2", "title": "Forward and Reverse Gradient-Based Hyperparameter Optimization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01785.pdf"], "doi": []}, {"id": "419fd5e7f8ae379e46696be82aef6a3cae17fb44", "title": "Factorial Invariance and Convergent Validity of the Group-Based Medical Mistrust Scale across Gender and Ethnoracial Identity.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/419f/d5e7f8ae379e46696be82aef6a3cae17fb44.pdf"], "doi": []}, {"id": "99a49f21ea2c001d6b94005ada187433f9a2b6df", "title": "Understanding the Association of Fatigue With Other Symptoms of Fibromyalgia: Development of a Cluster Model.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26017904", "https://doi.org/10.1002/acr.22626"]}, {"id": "9932fed53ac89a83a8af561095b090b2900c6dce", "title": "The Gap between Engineering Education and Postgraduate Preparedness.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9932/fed53ac89a83a8af561095b090b2900c6dce.pdf"], "doi": []}, {"id": "c85dba056bc09e16056a1cd759debffa01a8f8ff", "title": "Mind-wandering as spontaneous thought: a dynamic framework", "year": "2016", "pdf": ["http://scottbarrykaufman.com/wp-content/uploads/2016/09/Christoff-et-al.-2016.pdf", "https://static1.squarespace.com/static/575f018a1bbee0fe9fb1748e/t/5887cc87d1758ecbedc761f6/1485294730169/nrn.2016.113.pdf"], "doi": ["https://doi.org/10.1038/nrn.2016.113", "https://www.ncbi.nlm.nih.gov/pubmed/27654862"]}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "32bc7060abd4d4a3c15436131d44955b6caf37ff", "title": "Quantitative super-resolution single molecule microscopy dataset of YFP-tagged growth factor receptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/822f/1a0db37aefeb0364b4663f48dbca35cf75ab.pdf"], "doi": []}, {"id": "54c0c35560beac2b37026d6e479b0b793a4a8b3e", "title": "Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/84ef/8bb73c93789ada648547380ce4522fe38a1d.pdf"], "doi": []}, {"id": "3d8e59ee4109728636c1865be046342a79684b64", "title": "A Novel M-Cluster of Feature Selection Approach Based on Symmetrical Uncertainty for Increasing Classification Accuracy of Medical Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3d8e/59ee4109728636c1865be046342a79684b64.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "7a8b4ad172c2639cb38f7834624c930f5692c1ab", "title": "The MalSource Dataset: Quantifying Complexity and Code Reuse in Malware Development", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06888.pdf"], "doi": []}, {"id": "5870cda9f3f8e4c812501ccea0bb57593dbbd08c", "title": "Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial", "year": "2016", "pdf": ["http://cloudfront.practiceupdate.net/zone/els.pracuponcology_UrothelialCancer/Urothelial-1_Rosenberg.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616005614?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/S0140-6736%2816%2900561-4", "https://www.ncbi.nlm.nih.gov/pubmed/26952546"]}, {"id": "d54de7d78ac63a5994ec24c777c1885ab1ca771b", "title": "Calibrating COCOMO(R) II for Projects with High Personnel Turnover", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7831575"]}, {"id": "05615bccda9ab6396b509a0efa91e0177204be3f", "title": "A Hybrid Approach for Efficient Unique Column Combination Discovery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0561/5bccda9ab6396b509a0efa91e0177204be3f.pdf"], "doi": []}, {"id": "e0e68c0fba832a8abc6918e12241861e68eefb24", "title": "Application of magnetic resonance imaging in diagnosis of Uterus Cervical Carcinoma.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28234273", "https://doi.org/10.3233/XST-17254"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "140349ba7375f238ed695e3405f3c8e7dc6395e6", "title": "Chloroplast genomes: diversity, evolution, and applications in genetic engineering", "year": "2016", "pdf": ["https://www.biomedcentral.com/track/pdf/10.1186/s13059-016-1004-2?site=genomebiology.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13059-016-1004-2", "https://www.ncbi.nlm.nih.gov/pubmed/27339192"]}, {"id": "694701e33924b63105c09c46a79ee2e9fe7b9086", "title": "The lncRNA CRNDE promotes colorectal cancer cell proliferation and chemoresistance via miR-181a-5p-mediated regulation of Wnt/\u03b2-catenin signaling", "year": "2017", "pdf": ["https://molecular-cancer.biomedcentral.com/track/pdf/10.1186/s12943-017-0583-1"], "doi": ["https://doi.org/10.1186/s12943-017-0583-1", "https://www.ncbi.nlm.nih.gov/pubmed/28086904"]}, {"id": "f07b85129121a572d38ea5f271611b3505bc1046", "title": "Efficient Discovery of Approximate Dependencies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f07b/85129121a572d38ea5f271611b3505bc1046.pdf"], "doi": []}, {"id": "75007000e51b9553bfbe3cf79ec64aa9be1a66da", "title": "Referral outcomes of attendances at general practitioner led urgent care centres in London, England: retrospective analysis of hospital administrative data.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26396232", "https://doi.org/10.1136/emermed-2014-204603"]}, {"id": "d538db599358afd3cf6a77479d056bea405f6620", "title": "Adipocyte lipolysis links obesity to breast cancer growth: adipocyte-derived fatty acids drive breast cancer cell proliferation and migration", "year": "2017", "pdf": ["https://cancerandmetabolism.biomedcentral.com/track/pdf/10.1186/s40170-016-0163-7?site=cancerandmetabolism.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28101337", "https://doi.org/10.1186/s40170-016-0163-7"]}, {"id": "117b344a830780508a3defa514acc2a477c2b318", "title": "Efficient Denial Constraint Discovery with Hydra", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7f72/b8081153d759574a4021c9b7a571578eb4b5.pdf"], "doi": []}, {"id": "c3526e839ef1aea6e3c47418f25f937ce436ea5d", "title": "Coughing, sneezing, and aching online: Twitter and the volume of influenza-like illness in a pediatric hospital", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c352/6e839ef1aea6e3c47418f25f937ce436ea5d.pdf"], "doi": []}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "e0c720b09aa6558e4abcd4b36f925c027cf0fceb", "title": "Predicting run time of classification algorithms using meta-learning", "year": "2017", "pdf": ["http://www.cs.uccs.edu/~jkalita/papers/2016/DoanTriIJMLC2016.pdf"], "doi": ["https://doi.org/10.1007/s13042-016-0571-6"]}, {"id": "afac3ea4f012de1d9b38c296ba14c1286e464ac7", "title": "Holistic Data Profiling: Simultaneous Discovery of Various Metadata", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/afac/3ea4f012de1d9b38c296ba14c1286e464ac7.pdf"], "doi": []}, {"id": "ffbd13cb542845f22f5e7532afa7c0c86cef2f03", "title": "WP / 17 / 169 Why Is Labor Receiving a Smaller Share of Global Income ? Theory and Empirical Evidence", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ffbd/13cb542845f22f5e7532afa7c0c86cef2f03.pdf"], "doi": []}, {"id": "d2abba5be81aebea75adf159b2a6bbd7aef3ccf6", "title": "A Logistic Regression and Markov Chain Model for the Prediction of Nation-state Violent Conflicts and Transitions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d2ab/ba5be81aebea75adf159b2a6bbd7aef3ccf6.pdf"], "doi": []}, {"id": "003118f9a12a28935a5b1f96bc25c5faf250372f", "title": "International practices in the dietary management of fructose 1-6 biphosphatase deficiency", "year": "2018", "pdf": ["https://ojrd.biomedcentral.com/track/pdf/10.1186/s13023-018-0760-3?site=ojrd.biomedcentral.com", "https://repository.ubn.ru.nl/bitstream/handle/2066/191323/191323.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29370874", "https://doi.org/10.1186/s13023-018-0760-3"]}, {"id": "c72ce7d1bd0e22f751b840596335039621240974", "title": "Data-driven Schema Normalization", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c72c/e7d1bd0e22f751b840596335039621240974.pdf"], "doi": []}, {"id": "b226b5c37f0f2cc9785819f59ffac0a3cf01bf38", "title": "PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05944.pdf"], "doi": []}, {"id": "9ff42dfa9150c0250f4bae26616fff4305cb6616", "title": "Virtual Visits for Acute, Nonurgent Care: A Claims Analysis of Episode-Level Utilization", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28213342", "http://www.jmir.org/article/viewFile/jmir_v19i2e35/2", "https://doi.org/10.2196/jmir.6783"]}, {"id": "a6aed23dd9b6cde15f026b1c0d3f868093a6e15a", "title": "Quantitative Evaluation of Confidence Measures in a Machine Learning World", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Poggi_Quantitative_Evaluation_of_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Poggi_Quantitative_Evaluation_of_ICCV_2017_supplemental.pdf", "http://vision.deis.unibo.it/~smatt/Papers/ICCV2017/ICCV_2017_confidence_measures.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237821", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.559", "http://doi.org/10.1109/ICCV.2017.559"]}, {"id": "aff84192d17c6d69e0e681b34528b5eef5bd4add", "title": "Comprehensive investigation of aberrant microRNA profiling in bladder cancer tissues", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s13277-016-5121-z", "https://www.ncbi.nlm.nih.gov/pubmed/27350368"]}, {"id": "d1daaadcb4ebc0dace6fcd8ca7decb4573443d17", "title": "Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27370177", "https://doi.org/10.1016/j.eururo.2016.06.010"]}, {"id": "d690d393c6f216be82112188f6c97aef995ea062", "title": "WISP1 genetic variants as predictors of tumor development with urothelial cell carcinoma.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29277583", "https://doi.org/10.1016/j.urolonc.2017.11.023"]}, {"id": "235b8278001f7e9c386ff510254d4f2349c08262", "title": "Sedimentary heavy metal(loid) contamination in the Veracruz shelf, Gulf of Mexico: A baseline survey from a rapidly developing tropical coast.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28434667", "https://doi.org/10.1016/j.marpolbul.2017.03.039"]}, {"id": "6a7dc6846570d1249e5bb2f3ab9e5bc2c277cc76", "title": "International Inflation Spillovers Through Input Linkages \u2217", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9a9b/7ac6657a752b2cc8588a689a1761dd5b1b51.pdf"], "doi": []}, {"id": "f0ad1d59fc4fd16e37f67bc0d82b4dbd7538512f", "title": "Nonparametric User Behavior Prediction for Distributed EV Charging Scheduling", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8585744"]}, {"id": "0b6e00c3f74927d0360267ebd6d416a3683243fc", "title": "Complete mitochondrial genome of Gracilaria changii (Rhodophyta: Gracilariaceae)", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s10811-017-1100-z"]}, {"id": "02b48789cc4f620c644695b33e1c2e35bbd80f3e", "title": "Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02b4/8789cc4f620c644695b33e1c2e35bbd80f3e.pdf"], "doi": []}, {"id": "3388b4b2cead1abc743f98d0f9c8fe082a425ed0", "title": "LLIN Evaluation in Uganda Project (LLINEUP): factors associated with ownership and use of long-lasting insecticidal nets in Uganda: a cross-sectional survey of 48 districts", "year": "2018", "pdf": ["https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-018-2571-3"], "doi": ["https://doi.org/10.1186/s12936-018-2571-3", "https://www.ncbi.nlm.nih.gov/pubmed/30424775"]}, {"id": "0f98a11bd98635ab51742ef09119e4cd0165d5ac", "title": "Roles of disease severity and post-discharge outpatient visits as predictors of hospital readmissions", "year": "2016", "pdf": ["https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-016-1814-7"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27724889", "https://doi.org/10.1186/s12913-016-1814-7"]}, {"id": "fff1261e5c8698f9a4e334e7c822bbf199c90922", "title": "Repressor activator protein 1-promoted colorectal cell migration is associated with the regulation of Vimentin.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28381157", "https://doi.org/10.1177/1010428317695034"]}, {"id": "934a132f9002de829f9510100c93b285547402ad", "title": "The effect of alcohol consumption on household income in Ireland.", "year": "2016", "pdf": ["https://cora.ucc.ie/bitstream/handle/10468/3219/1445.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27814793", "https://doi.org/10.1016/j.alcohol.2016.10.003"]}, {"id": "9525b0e3746b12e0b319900646730aa0903dd5ec", "title": "Comparison of intraspecific, interspecific and intergeneric chloroplast diversity in Cycads", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27558458", "https://doi.org/10.1038/srep31473"]}, {"id": "307d25232769dff147be140182e9a8cfa35816ce", "title": "HDAC10 as a potential therapeutic target in ovarian cancer.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28073598", "https://doi.org/10.1016/j.ygyno.2017.01.009"]}, {"id": "e5e8f2a775f3f49f11be1251bcae39eb59e566ae", "title": "Fast Budgeted Influence Maximization Over Multi-Action Event Logs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302527"]}, {"id": "0ac4b7f932b55b82e2a9ed27b5c5fb09429f9b73", "title": "Proper imputation techniques for missing values in data sets", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823957"]}, {"id": "684be6db3ae69db3d15ffe617c752011e2ffe4fa", "title": "Video Authentication Based on Statistical Local Information", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7881663"]}, {"id": "88953809a11385702771e0511655f7dc4fdf3fa4", "title": "Exploring the spatial and temporal determinants of gas central heating adoption", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8895/3809a11385702771e0511655f7dc4fdf3fa4.pdf"], "doi": []}, {"id": "37e7adc43fc83501d1b5c13dc0ab603164b92c1d", "title": "The complete mitochondrial genomes of four cockroaches (Insecta: Blattodea) and phylogenetic analyses within cockroaches.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27045773", "https://doi.org/10.1016/j.gene.2016.03.057"]}, {"id": "37f892cf7c4c688d86cf63e9eaedc34d3985cfff", "title": "Dopamine receptor D2 genetic variations is associated with the risk and clinicopathological variables of urothelial cell carcinoma in a Taiwanese population", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37f8/92cf7c4c688d86cf63e9eaedc34d3985cfff.pdf"], "doi": []}, {"id": "8149006bafd1638cd169db1c3e6054be9355c097", "title": "Data Anamnesis: Admitting Raw Data into an Organization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8149/006bafd1638cd169db1c3e6054be9355c097.pdf"], "doi": []}, {"id": "78b2d75f8a742212e601847a359a89119804b658", "title": "Biogenesis and function of tRNA fragments during sperm maturation and fertilization in mammals", "year": "2016", "pdf": ["https://stacks.cdc.gov/view/cdc/39783/cdc_39783_DS13.pdf", "https://www.umassmed.edu/globalassets/mellolab/documents/publications/sharmaconine-2016.pdf", "https://www.umassmed.edu/globalassets/moore-lab/sharmaricci-rando-science-2016.pdf"], "doi": ["https://doi.org/10.1126/science.aad6780", "https://www.ncbi.nlm.nih.gov/pubmed/26721685"]}, {"id": "c0ddc5a471aa5601a950d0c5e590ea0cd3430bf5", "title": "Combatting Use Case Points\u2019 Limitations with COCOMO(R) II and Relative Difficulty", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7890610"]}, {"id": "8f7344481d5e5afbf95c6002671957dbfef762a3", "title": "Insights into chemical weathering of the upper continental crust from the geochemistry of ancient glacial diamictites", "year": "2016", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt6g19j79b/qt6g19j79b.pdf"], "doi": ["https://doi.org/10.1016/j.gca.2015.12.012"]}, {"id": "ff4df753cae94a74f4be2367d4f45cceea1f8424", "title": "A novel hybrid of Shortest job first and round Robin with dynamic variable quantum time task scheduling technique", "year": "2017", "pdf": ["https://journalofcloudcomputing.springeropen.com/track/pdf/10.1186/s13677-017-0085-0?site=journalofcloudcomputing.springeropen.com"], "doi": ["https://doi.org/10.1186/s13677-017-0085-0"]}, {"id": "641a4d6e0408fd37866622f29ea285a3423651a7", "title": "Identification of differentially expressed genes, lncRNAs and miRNAs which are associated with tumor malignant phenotypes in hepatoblastoma patients", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/641a/4d6e0408fd37866622f29ea285a3423651a7.pdf"], "doi": []}, {"id": "448430faabd3cb7f37c5b740d44201977bba1e89", "title": "Sequencing and analysis of the complete organellar genomes of Parmales, a closely related group to Bacillariophyta (diatoms)", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s00294-016-0598-y", "https://www.ncbi.nlm.nih.gov/pubmed/27091756"]}, {"id": "3eb56532c85c118ea2ce87631d46eef44fbe1f74", "title": "Overexpression of TAZ promotes cell proliferation, migration and epithelial-mesenchymal transition in ovarian cancer", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3eb5/6532c85c118ea2ce87631d46eef44fbe1f74.pdf"], "doi": []}, {"id": "298defaa4822746c3010ecce257ba3e6e5f6c8d4", "title": "Optimization of neural networks through grammatical evolution and a genetic algorithm", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.eswa.2016.03.012"]}, {"id": "68b392db0b23b4a017d8492f25df1e74c783fdba", "title": "RBind: computational network method to predict RNA binding sites", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/68b3/92db0b23b4a017d8492f25df1e74c783fdba.pdf"], "doi": []}, {"id": "caa131250ec84d03b691de6341c51de1a5b013d2", "title": "DISMISS: detection of stranded methylation in MeDIP-Seq data", "year": "2016", "pdf": ["https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1158-7"], "doi": ["https://doi.org/10.1186/s12859-016-1158-7", "https://www.ncbi.nlm.nih.gov/pubmed/27473283", "https://www.wikidata.org/entity/Q36090115"]}, {"id": "c45d12d079e909c6fce729d6d4448bf5e5782ecc", "title": "Use of long-lasting insecticide-treated bed nets in a population with universal coverage following a mass distribution campaign in Uganda", "year": "2016", "pdf": ["https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-016-1360-0?site=malariajournal.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12936-016-1360-0", "https://www.ncbi.nlm.nih.gov/pubmed/27267462"]}, {"id": "0c333a6506dd28c79c994f2857d303de94dc3f13", "title": "Language , Legal Origins , and Culture before the Courts : Cross-Citations between Supreme Courts in Europe", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0c33/3a6506dd28c79c994f2857d303de94dc3f13.pdf"], "doi": []}, {"id": "452ef1cfbf15d8475c0698ca6e9563850c2229fa", "title": "Variable presence of the inverted repeat and plastome stability in Erodium.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27192713", "https://doi.org/10.1093/aob%2Fmcw065"]}, {"id": "5950fd695b6bf445b7a20e8d733b7778509d87b2", "title": "Clinical Outcome Following Radiofrequency Denervation for Refractory Sacroiliac Joint Dysfunction Using the Simplicity III Probe: A 12-Month Retrospective Evaluation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/fd695b6bf445b7a20e8d733b7778509d87b2.pdf"], "doi": []}, {"id": "05df815ad6f846b7e3ef425d1f02b59f1c498cd2", "title": "Change Detection in Synthetic Aperture Radar Images Using a Multiscale-Driven Approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/05df/815ad6f846b7e3ef425d1f02b59f1c498cd2.pdf"], "doi": []}, {"id": "458723f61de9e9877e633dcf2a9be646ee4eb3ae", "title": "A risk assessment model for selecting cloud service providers", "year": "2016", "pdf": ["https://journalofcloudcomputing.springeropen.com/track/pdf/10.1186/s13677-016-0064-x"], "doi": ["https://doi.org/10.1186/s13677-016-0064-x"]}, {"id": "a859edfbf027a6a30bfa4c689f6bf98934fa7cba", "title": "Mining community and inferring friendship in mobile social networks", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.09.070"]}, {"id": "4fe67b1b32b2ad3774f5bd34c2b9e73f92bcd585", "title": "Diabetes mellitus medication use and catastrophic healthcare expenditure among adults aged 50+ years in China and India: results from the WHO study on global AGEing and adult health (SAGE)", "year": "2017", "pdf": ["https://bmcgeriatr.biomedcentral.com/track/pdf/10.1186/s12877-016-0408-x"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28077072", "https://doi.org/10.1186/s12877-016-0408-x"]}, {"id": "b6b085367b68af681bb6ae34bfb03d17d1c6438c", "title": "Complete Chloroplast Genome of Medicinal Plant Lonicera japonica: Genome Rearrangement, Intron Gain and Loss, and Implications for Phylogenetic Studies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b6b0/85367b68af681bb6ae34bfb03d17d1c6438c.pdf"], "doi": []}, {"id": "aa9ff7ec771a78e290a1de3929a60fd5e77be343", "title": "Elevated RNA expression of long non-coding HOTAIR promotes cell proliferation and predicts a poor prognosis in patients with diffuse large B cell lymphoma", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aa9f/f7ec771a78e290a1de3929a60fd5e77be343.pdf"], "doi": []}, {"id": "26debfcac7e301d420ce6da8d889202081624615", "title": "miR-145 sensitizes breast cancer to doxorubicin by targeting multidrug resistance-associated protein-1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/26de/bfcac7e301d420ce6da8d889202081624615.pdf"], "doi": []}, {"id": "a6e95ce5d51a27c6065634b7e74d50d73a5d710d", "title": "Sequencing, characterization and phylogenomics of the complete mitochondrial genome of Dactylogyrus lamellatus (Monogenea: Dactylogyridae).", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6e9/5ce5d51a27c6065634b7e74d50d73a5d710d.pdf"], "doi": []}, {"id": "df0f57f2342870e337632bb01303abab640a3f0b", "title": "The association of fecal microbiota and fecal, blood serum and urine metabolites in myalgic encephalomyelitis/chronic fatigue syndrome", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11306-016-1145-z"]}, {"id": "475f6a35794097a69ca885f0e61820eae675157c", "title": "Higher tRNA gene duplication in mitogenomes of praying mantises (Dictyoptera, Mantodea) and the phylogeny within Mantodea.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29307803", "https://doi.org/10.1016/j.ijbiomac.2018.01.016"]}, {"id": "ce11b6180e8aa84ef6413d739e04d5d10fc61607", "title": "The Future of Cardiovascular Epidemiology.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27324358", "https://doi.org/10.1161/CIRCULATIONAHA.116.023528"]}, {"id": "4c2b2067732b9665f1d7ad315ae938df1dd0a7e9", "title": "MiR-876-5p modulates head and neck squamous cell carcinoma metastasis and invasion by targeting vimentin", "year": "2018", "pdf": ["https://cancerci.biomedcentral.com/track/pdf/10.1186/s12935-018-0619-7"], "doi": ["https://doi.org/10.1186/s12935-018-0619-7", "https://www.ncbi.nlm.nih.gov/pubmed/30181714"]}, {"id": "c9567f8cbc0fc70ee55f5027ac7b8506084cdf0a", "title": "DNA Methylation and Urological Cancer, a Step Towards Personalized Medicine: Current and Future Prospects", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s40291-016-0231-2", "https://www.ncbi.nlm.nih.gov/pubmed/27501813"]}, {"id": "4ee04605cbf8ef7ada126986fddde4cc64fc929b", "title": "EGb761 Ameliorates Neuronal Apoptosis and Promotes Angiogenesis in Experimental Intracerebral Hemorrhage via RSK1/GSK3\u03b2 Pathway", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s12035-016-0363-8", "https://www.ncbi.nlm.nih.gov/pubmed/28185127"]}, {"id": "1689e00f1bd32c87e6e118b28a288c1b615dc0dc", "title": "Identification of dysregulated lncRNAs profiling and metastasis\u2010associated lncRNAs in colorectal cancer by genome\u2010wide analysis", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28857495", "https://doi.org/10.1002/cam4.1168"]}, {"id": "f640f9cf6410202b57a223a8a709da9085c86e24", "title": "Do employees benefit from collaborations between out of hours general practitioners and emergency departments?", "year": "2018", "pdf": ["https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/s12913-018-2919-y?site=bmchealthservres.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29454378", "https://doi.org/10.1186/s12913-018-2919-y"]}, {"id": "986e2a390006699b05e563f40583aa1bdafe5e5b", "title": "Impact of Long Non-Coding RNA HOTAIR Genetic Variants on the Susceptibility and Clinicopathologic Characteristics of Patients with Urothelial Cell Carcinoma", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/986e/2a390006699b05e563f40583aa1bdafe5e5b.pdf"], "doi": []}, {"id": "7335c7db4c4ef7f6b8072e030d0e5d62162d323b", "title": "Hierarchical Text Generation using an Outline", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08802.pdf"], "doi": []}, {"id": "e55eced6c417f3db2dadaec114523725a5b6863e", "title": "Protein kinase C-\u03b1 (PKC\u03b1) modulates cell apoptosis by stimulating nuclear translocation of NF-kappa-B p65 in urothelial cell carcinoma of the bladder", "year": "2017", "pdf": ["https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-017-3401-7"], "doi": ["https://doi.org/10.1186/s12885-017-3401-7", "https://www.ncbi.nlm.nih.gov/pubmed/28629334"]}, {"id": "60b7b3cfb045e689e94a6d01ee47cc42afdb0c5d", "title": "Upconversion Cross\u2010Correlation Spectroscopy of a Sandwich Immunoassay", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29732623", "https://doi.org/10.1002/chem.201801962"]}, {"id": "4e52d031b02dbb9aa049ffead90673ee89629cae", "title": "Trends of infodemiology studies: a scoping review.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29729073", "https://doi.org/10.1111/hir.12216"]}, {"id": "52ef8e3b17902a4f93403ed271e26247b428e697", "title": "Effectiveness of a new long-lasting insecticidal nets delivery model in two rural districts of Mozambique: a before\u2013after study", "year": "2018", "pdf": ["https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-018-2217-5?site=malariajournal.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12936-018-2217-5", "https://www.ncbi.nlm.nih.gov/pubmed/29402329"]}, {"id": "85d1720119bc98bd579e97a26126eb7edae0741f", "title": "Classification of Genes Based on Age-Related Differential Expression in Breast Cancer", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a146/f5f8fce88ae753251bc2794d9e07bda0721c.pdf"], "doi": []}, {"id": "26cb4157cb07c524723957d9686ff3902155a982", "title": "Seer Grid: Privacy and Utility Implications of Two-Level Load Prediction in Smart Grids", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7466137"]}, {"id": "fa4531394283d393d8a79fc3cb1af0218834334a", "title": "Combined wave-current scale model testing at FloWave", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fa45/31394283d393d8a79fc3cb1af0218834334a.pdf"], "doi": []}, {"id": "78377345e6692b836e676930eaec9c1136073c83", "title": "The LINK-A lncRNA Activates Normoxic HIF1\u03b1 Signaling in Triple-negative Breast Cancer", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1038/ncb3295", "https://www.ncbi.nlm.nih.gov/pubmed/26751287"]}, {"id": "679fc48629057d35e31f1261dbf18c906562009e", "title": "Vehicular Fog Computing: Enabling Real-Time Traffic Management for Smart Cities", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8641431"]}, {"id": "1e7128126f1977834562babe83264a1f09624944", "title": "A review of the PD-1/PD-L1 checkpoint in bladder cancer: From mediator of immune escape to target for treatment.", "year": "2017", "pdf": ["http://www.einstein.yu.edu/uploadedFiles/Zang/UrologicOncology2017.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27816403", "https://doi.org/10.1016/j.urolonc.2016.10.004"]}, {"id": "faa204f74897d76fb26a1ac96222ea141bfb62bd", "title": "Highly Siderophile Element and Os Isotope Systematics of Volcanic Rocks at Divergent and Convergent Plate Boundaries and in Intraplate Settings", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/faa2/04f74897d76fb26a1ac96222ea141bfb62bd.pdf"], "doi": []}, {"id": "c5d753d56b03ffdda997226e1c9e844c0cfd1232", "title": "Towards uniform management of multi-layered cloud services by applying model-driven development", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.jss.2016.01.001"]}, {"id": "55c24125053eedfe8b7c60b0ea91374a1c6f5e9e", "title": "Reining in the Big Promise of Big Data : Transparency , Inequality , and New Regulatory Frontiers", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/55c2/4125053eedfe8b7c60b0ea91374a1c6f5e9e.pdf"], "doi": []}, {"id": "377bdd5df6591aff1e7cec7fb396e1062044bf35", "title": "The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis", "year": "2017", "pdf": ["https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-017-0091-6?site=journalofbigdata.springeropen.com"], "doi": ["https://doi.org/10.1186/s40537-017-0091-6"]}, {"id": "79a48975c241cab6e22ce2607875ee1ef238b391", "title": "The Small GTPase RAC1/CED-10 Is Essential in Maintaining Dopaminergic Neuron Function and Survival Against \u03b1-Synuclein-Induced Toxicity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s12035-018-0881-7", "https://www.ncbi.nlm.nih.gov/pubmed/29429047"]}, {"id": "bf37781ad675bd9c8fb6531ee2d68dc53b97d8f8", "title": "Comparing generativist and constructivist accounts of the use of the past tense form in early child Japanese.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bf37/781ad675bd9c8fb6531ee2d68dc53b97d8f8.pdf"], "doi": []}, {"id": "99174d57b40b31e6e9633d88dad614f621b9e066", "title": "Patent information retrieval: approaching a method and analysing nanotechnology patent collaborations", "year": "2017", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/26716/Scientometric%202017%20paper.pdf?isAllowed=y&sequence=1", "https://researchportal.port.ac.uk/portal/files/6985516/Patent_information_retrieval.pdf"], "doi": ["https://doi.org/10.1007/s11192-017-2325-y", "https://www.ncbi.nlm.nih.gov/pubmed/28490824", "https://www.wikidata.org/entity/Q33592090"]}, {"id": "ccb79af5db07658b02c200e0d847295103bbe7fd", "title": "Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06787.pdf"], "doi": []}, {"id": "9474f937f6d6028d7921e6b887093538d86a165f", "title": "Evolution of mitochondrial genomes in Baikalian amphipods", "year": "2016", "pdf": ["https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-016-3357-z"], "doi": ["https://doi.org/10.1186/s12864-016-3357-z", "https://www.ncbi.nlm.nih.gov/pubmed/28105939"]}, {"id": "aed5b83c9c5af66f4423dae6363daa6f0a5e8d3a", "title": "The Novel Long Noncoding RNA TUSC7 Inhibits Proliferation by Sponging MiR-211 in Colorectal Cancer.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aed5/b83c9c5af66f4423dae6363daa6f0a5e8d3a.pdf"], "doi": []}, {"id": "41bc1a814d2218436c2c315dde23dd7a136a44b2", "title": "Geochemistry and mineralogy of the Oligo-Miocene sediments of the Valley of Lakes, Mongolia", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28450967", "https://doi.org/10.1007/s12549-016-0268-6"]}, {"id": "b2b33472ce4ba5384e610c16c7e57cb6899390da", "title": "Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7974742"]}, {"id": "998d82e1de1d20953e3eba8f3bea7ca4871735d2", "title": "Comparative and phylogenetic analysis of the mitochondrial genomes in basal hymenopterans.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26879745", "https://doi.org/10.1038/srep20972"]}, {"id": "74839b838e393131c36bbc4cca9a5772d54f8325", "title": "Molecular phylogenetics, evolution of sexual systems and historical biogeography of Darwin's favourite orchids (Catasetinae) and Swan orchids (Cycnoches Lindl.)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7483/9b838e393131c36bbc4cca9a5772d54f8325.pdf"], "doi": []}, {"id": "1c7db28f0a755add1c8300373fd8702725f4c20e", "title": "Barriers and motivations for health insurance subscription in Cape Coast, Ghana: a qualitative study", "year": "2017", "pdf": ["http://archpublichealth.biomedcentral.com/track/pdf/10.1186/s13690-017-0192-x?site=archpublichealth.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28560036", "https://doi.org/10.1186/s13690-017-0192-x"]}, {"id": "afe4c3c0c2f669b4f90d9bb7ccde8bc6e47aef78", "title": "Integrative Network Analysis Combined with Quantitative Phosphoproteomics Reveals Transforming Growth Factor-beta Receptor type-2 (TGFBR2) as a Novel Regulator of Glioblastoma Stem Cell Properties.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26670566", "https://doi.org/10.1074/mcp.M115.049999"]}, {"id": "57876c7573f8de5a24b261769a02698df7c2d98c", "title": "An orthotopic xenograft model for high-risk non-muscle invasive bladder cancer in mice: influence of mouse strain, tumor cell count, dwell time and bladder pretreatment", "year": "2017", "pdf": ["https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-017-3778-3?site=bmccancer.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s12885-017-3778-3", "https://www.ncbi.nlm.nih.gov/pubmed/29169339"]}, {"id": "726c9bddab9329b3ce20d65c6e4adbdb68a6a7f6", "title": "Structure of the hypusinylated eukaryotic translation factor eIF-5A bound to the ribosome", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eedc/161af2a62718f51010715b9af3aba3fd792c.pdf"], "doi": []}, {"id": "5e79ba4d8c4723b18a8ef04d031a004cfd147a76", "title": "A review of web-based support systems for students in higher education", "year": "2017", "pdf": ["https://ijmhs.biomedcentral.com/track/pdf/10.1186/s13033-017-0165-z?site=ijmhs.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29021822", "https://doi.org/10.1186/s13033-017-0165-z"]}, {"id": "b2bad11b3615dbf148c5104e4d707f6fa58431a1", "title": "Bacterial clonal diagnostics as a tool for evidence-based empiric antibiotic selection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b2ba/d11b3615dbf148c5104e4d707f6fa58431a1.pdf"], "doi": []}, {"id": "9ab8307fa26b7ffebcd35dfcb8c56882e94e01ec", "title": "SWAN: A service for interactive analysis in the cloud", "year": "2018", "pdf": ["https://cds.cern.ch/record/2158559/files/CERN-OPEN-2016-005.pdf"], "doi": ["https://doi.org/10.1016/j.future.2016.11.035"]}, {"id": "52bb178797abe17ecd6dc7899474e925ff30bd89", "title": "Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7268883"]}, {"id": "360c0bd506a7a291da0c1a51d6735a440b424cb0", "title": "Development of TaqMan probes targeting the four major celiac disease epitopes found in \u03b1-gliadin sequences of spelt (Triticum aestivum ssp. spelta) and bread wheat (Triticum aestivum ssp. aestivum)", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0222-2?site=plantmethods.biomedcentral.com", "https://static-content.springer.com/esm/art:10.1186%2Fs13007-017-0222-2/MediaObjects/13007_2017_222_MOESM2_ESM.pdf"], "doi": ["https://doi.org/10.1186/s13007-017-0222-2", "https://www.ncbi.nlm.nih.gov/pubmed/28912827"]}, {"id": "6036301b65f525ea87de3793c66eb1980a095d91", "title": "Checkpoint kinase inhibitor AZD7762 strongly sensitises urothelial carcinoma cells to gemcitabine", "year": "2017", "pdf": ["https://jeccr.biomedcentral.com/track/pdf/10.1186/s13046-016-0473-1?site=jeccr.biomedcentral.com", "https://kar.kent.ac.uk/60383/1/Checkpoint%20kinase%20inhibitor%20AZD7762%20strongly%20sensitises%20urothelial%20carcinoma%20cells%20to%20gemcitabine.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28049532", "https://doi.org/10.1186/s13046-016-0473-1"]}, {"id": "b6afbffecae55e5db9a48c58e085435dc77c2993", "title": "Effects of novel HDAC inhibitors on urothelial carcinoma cells", "year": "2018", "pdf": ["https://clinicalepigeneticsjournal.biomedcentral.com/track/pdf/10.1186/s13148-018-0531-y"], "doi": ["https://doi.org/10.1186/s13148-018-0531-y", "https://www.ncbi.nlm.nih.gov/pubmed/30064501"]}, {"id": "7f23594f41fdd134020655594716da3e31a4f42b", "title": "Community characteristics associated with where urgent care centers are located: a cross-sectional analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cf50/6fed0be7a42946c6d8393dd2260681b91b60.pdf"], "doi": []}, {"id": "85cc102d558dc270195f2c2ca1a17cc07bea26af", "title": "Excised segments of rat small intestine in Ussing chamber studies: A comparison of native and stripped tissue viability and permeability to drugs.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27073083", "https://doi.org/10.1016/j.ijpharm.2016.03.063"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/ucf_crowd.json b/site/datasets/unknown/ucf_crowd.json index 7b236a04..01cfbd89 100644 --- a/site/datasets/unknown/ucf_crowd.json +++ b/site/datasets/unknown/ucf_crowd.json @@ -1 +1 @@ -{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "citations": [{"id": "427d6d9bc05b07c85fc6b2e52f12132f79a28f6c", "title": "Single-Image Crowd Counting via Multi-Column Convolutional Neural Network", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Single-Image_Crowd_Counting_CVPR_2016_paper.pdf", "http://sist.shanghaitech.edu.cn/office/research/news/CVPR2016/paper/Single-Image%20Crowd%20Counting%20via%20Multi-Column%20Convolutional%20Neural%20Network.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Single-Image_Crowd_Counting_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780439", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.70", "http://doi.org/10.1109/CVPR.2016.70"]}, {"id": "542a2ddc53d80d58a8791ab1a72dad660035e114", "title": "A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01202.pdf"], "doi": []}, {"id": "9185db7ba8375311879d506562a7c8e89f34ff82", "title": "Computer vision and machine learning for microscopy image analysis", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:62a03c45-2616-49a4-8976-fb1ff481915f"]}, {"id": "7174e77f8e26aef3105996512b787b336320d46f", "title": "People Counting in High Density Crowds from Still Images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.08445.pdf"], "doi": []}, {"id": "1ba4d5d3b0cb46d61f23279f70ae42735601a60c", "title": "Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.08660.pdf"], "doi": []}, {"id": "02a4fabb41ce20d10e4055fff49ac98b86723000", "title": "Efficient People Counting with Limited Manual Interferences", "year": "2014", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/37749/3/3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008106", "http://doi.org/10.1109/DICTA.2014.7008106"]}, {"id": "2ab8a7654f943c9d19e02eee0b2ce3b12d6bc3c1", "title": "Crowd Counting with Deep Negative Correlation Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578662"]}, {"id": "18ddef5e311b62adf5d037a240324f569bbfd248", "title": "Input Frame Dense Map For Distant View Object Detection For Foreground Crowd counting Result", "year": "2018", "pdf": [], "doi": []}, {"id": "49a690f5dacf8b6cae7f2a1c4ef2052042d6c729", "title": "Active learning for high-density crowd count regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078508", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078508", "http://doi.org/10.1109/AVSS.2017.8078508"]}, {"id": "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "title": "Crowd Behavior Analysis: A Review where Physics meets Biology", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06586.pdf"], "doi": []}, {"id": "8c4be5f5ff36bb326ae4325d2ed79a18a0296107", "title": "Crowd density estimation based on classification activation map and patch density level", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00521-018-3954-7"]}, {"id": "fb6745ecbe69aac73ff6353dbf781c588c55a7ff", "title": "Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08805.pdf"], "doi": []}, {"id": "2060d46b178719080d51bccb150a3f8f227807ce", "title": "Human count estimation in high density crowd images and videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7913173"]}, {"id": "5882e62866fe1fcf7f8458e0bd0bcb39057afce3", "title": "Attention to Head Locations for Crowd Counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10287.pdf"], "doi": []}, {"id": "9bd3b15944ac28aa7021db126e4344a478bdabf4", "title": "Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w37/papers/Dupont_Crowd-11_A_Dataset_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015005", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.271", "http://doi.org/10.1109/CVPRW.2017.271"]}, {"id": "a507ee57e0e2e2834bab1ff7d218d3afb3634f2a", "title": "Top-Down Feedback for Crowd Counting Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08881.pdf"], "doi": []}, {"id": "46f5bb35ea99c62320199b1f0924a4e7c0b001d3", "title": "Perspective-Aware CNN For Crowd Counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "a65b93c01518755291e19a0545c1a3d20e401c0a", "title": "A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.04453.pdf"], "doi": []}, {"id": "c298134646049f72b1a8732ec6594a34f6311660", "title": "Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01115.pdf"], "doi": []}, {"id": "d656078f3ce43ec5ec645ccfbd0af483c9669b10", "title": "Benchmark data and method for real-time people counting in cluttered scenes using depth sensors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04339.pdf"], "doi": []}, {"id": "9c889616034adce2af05d74eac44cf43a8106468", "title": "Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.09240.pdf"], "doi": []}, {"id": "6ede463b08327c61eab9c1a2bb73204e188e850a", "title": "Visual Surveillance for Hajj and Umrah: A Review", "year": "2014", "pdf": ["http://www.iaescore.com/journals/index.php/IJAI/article/download/1392/pdf"], "doi": ["https://doi.org/10.11591/ij-ai.v3i2.1392"]}, {"id": "3bf66814817f582510e0f0a717112b78aca075a0", "title": "UNIVERSITY OF CALIFORNIA RIVERSIDE Bio-Image Analysis for Understanding Plant Development and Mosquito Behaviors A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3bf6/6814817f582510e0f0a717112b78aca075a0.pdf"], "doi": []}, {"id": "5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985", "title": "Structured Inhomogeneous Density Map Learning for Crowd Counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06642.pdf"], "doi": []}, {"id": "1810a716546622d138f3715bd4d3a425ea58c8b7", "title": "Digital Scene Augmentation Techniques for Generating Photo-Realistic Virtual Crowds", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516471"]}, {"id": "389b217408db3c6d013207ede37590513cad28c1", "title": "Mask-aware networks for crowd counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.00039.pdf"], "doi": []}, {"id": "2e6c3557cb90f472e6798fcaa8ecc9dff3557f11", "title": "Towards Perspective-Free Object Counting with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/abf0/20e0dcadc047f91ecb394cade13c05112d71.pdf"], "doi": []}, {"id": "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "title": "Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8517154"]}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "b9305c065b3c95fd0844d16a09fb9cc7c321cf58", "title": "Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning", "year": "2015", "pdf": ["http://crcv.ucf.edu/papers/Idrees_CrowdHumanDetection_PAMI2015.pdf", "http://www.crcv.ucf.edu/papers/Idrees%20et%20al.%20-%20Detecting%20Humans%20in%20Dense%20Crowds%20-%20PAMI15.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_Detection_TPAMI_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018985", "http://doi.org/10.1109/TPAMI.2015.2396051", "https://www.ncbi.nlm.nih.gov/pubmed/26340254", "https://www.wikidata.org/entity/Q48653652"]}, {"id": "139f8dea90ed4b535aea4ae03211ca948fe34acd", "title": "People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578940"]}, {"id": "8861eb32367e6b227fafc21cee87f70189348c26", "title": "Efficient and Unbiased Estimation of Population Size", "year": "2015", "pdf": ["https://repositorio.unican.es/xmlui/bitstream/handle/10902/10250/EfficientAndUnbiased.pdf?isAllowed=y&sequence=3"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26535587", "http://journals.plos.org/plosone/article/file?id=info:doi/10.1371/journal.pone.0141868.s001&type=supplementary", "https://doi.org/10.1371/journal.pone.0141868"]}, {"id": "aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b", "title": "Counting in High Density Crowd Videos", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aef3/ecc926ed79478f9d1f38c0fec2a29bae9c3b.pdf"], "doi": []}, {"id": "9fa796a11bbcc50fd20796701a123177cbd59ca5", "title": "Crowd Scene Analysis Using Deep Learning Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550851"]}, {"id": "71b6057016b7da02e454fcc42f270ec040b488cd", "title": "A New Framework For Crowded Scene Counting Based On Weighted Sum Of Regressors and Human Classifier.", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287980"]}, {"id": "c936b9a958a67cdd5665b923569d9d786c934029", "title": "Software Specification Document For", "year": "", "pdf": ["https://pdfs.semanticscholar.org/c936/b9a958a67cdd5665b923569d9d786c934029.pdf"], "doi": []}, {"id": "f32db58cbb8319eb8f2cfa2720c810f8410eb569", "title": "A software suite for large-scale video- and image-based analytics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f32d/b58cbb8319eb8f2cfa2720c810f8410eb569.pdf"], "doi": []}, {"id": "09c9a70a95d1e663e9f718c095f0ef59a877c152", "title": "DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network", "year": "2018", "pdf": ["https://xplorestaging.ieee.org/ielx7/6287639/6514899/08497050.pdf?arnumber=8497050"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8497050", "http://doi.org/10.1109/ACCESS.2018.2875495"]}, {"id": "33d076ad8ecba15c61d5ee8c3e2623d23f73d396", "title": "Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578479"]}, {"id": "ba1072f692840c6e3c6c506f164b741c22a27a68", "title": "Online real-time crowd behavior detection in video sequences", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.09.010"]}, {"id": "2faccc93b7bf66ec8764ed3293849bed1bdbf115", "title": "People counting based on head detection combining Adaboost and CNN in crowded surveillance environment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.097"]}, {"id": "2bf53442826052dcf1f3e8f2b231eaf164ddfe3c", "title": "Crowd density estimation in still images using multiple local features and boosting regression ensemble", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00521-019-04021-2"]}, {"id": "5101de7052206087dc256660d72cb05d0553b24c", "title": "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578648"]}, {"id": "216bf8374a6fd745e623750583bb2ffbae6e7edd", "title": "Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578659"]}, {"id": "1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9", "title": "Crowd Counting with Density Adaption Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10040.pdf"], "doi": []}, {"id": "5128f77564f70d861debf2941df54fc575283698", "title": "PaDNet: Pan-Density Crowd Counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02805.pdf"], "doi": []}, {"id": "8ff7567197aa9cf146e023326802b2e097121acb", "title": "Context-Aware Crowd Counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10452.pdf"], "doi": []}, {"id": "0c3d1f306fed393b92fe62f03496c0405ed1ab4d", "title": "Rich Convolutional Features Fusion for Crowd Counting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373856", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00063", "http://doi.org/10.1109/FG.2018.00063"]}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "5bb6270ac7932deafbd42d884b58b93a10d22dcf", "title": "The crowd congestion level \u2014 A new measure for risk assessment in video-based crowd monitoring", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906034"]}, {"id": "e2ee3eb6ed0cb3278cde72f67ec709af33b55e84", "title": "Crowd flux analysis and abnormal event detection in unstructured and structured scenes", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1593-7"]}, {"id": "2dafb6152438431c968257234d08328cba8f63f6", "title": "Flow Segmentation in Dense Crowds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04608.pdf"], "doi": []}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "ca3ff5775a5e63249850ea3b20585b1faa857c72", "title": "Motion sketch based crowd video retrieval", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-4568-2"]}, {"id": "2de7ec14e49ccd5ccd14f03df4c70be4ddf0c727", "title": "Tracking People in Dense Crowds Using Supervoxels", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907517"]}, {"id": "cfd97507f1a7dd2923e2eabe182f350f42c739cb", "title": "Real-time abnormal situation detection based on particle advection in crowded scenes", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11554-014-0424-z"]}, {"id": "df8d3c10caf8d3ccce0cf31ec5238d93d4691b83", "title": "Motion detection using optical flow and standard deviation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877597"]}, {"id": "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "title": "Measuring Flow Complexity in Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751246"]}, {"id": "572ee775bf7801cd64e7b85a49e9977e960e3257", "title": "Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07368.pdf"], "doi": []}, {"id": "dc61f5a22fde0b3163ef64aa452518225d47c6e3", "title": "Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8384026"]}, {"id": "1116e7ce6565b3c2f3bdae80b11bec166353a7cd", "title": "A Congestion Detection System Using Optical Flow and Standard Deviation in Mass Gathering", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2979812"]}, {"id": "0731b7ae6e4caff1c2b714530f563e1c2276cfe2", "title": "Dense crowd counting from still images with convolutional neural networks", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.jvcir.2016.03.021"]}, {"id": "9adcf858bda2991627951b68b75c99fc1ebd0f76", "title": "Switching Convolutional Neural Network for Crowd Counting", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099912"]}, {"id": "5302596bc8c84584a3531f2048bd7bf8e9507042", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237813"]}, {"id": "edafefc60c6e7511f172be8b3660e41b2d6f0f07", "title": "DENet: A Universal Network for Counting Crowd with Varying Densities and Scales", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08056.pdf"], "doi": []}, {"id": "715a62ab4c262431da7d4549c1689f96c299589c", "title": "Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01115.pdf"], "doi": []}, {"id": "891eb18f7cc0702a352d812c78f33eae7ee23f99", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "0bc6ea6afe3b59848a2a8f03423cc6284c60327e", "title": "Learning from Synthetic Data for Crowd Counting in the Wild", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03303.pdf"], "doi": []}, {"id": "6d5588d88193a4718db2377a8dd3679e35ecd1c1", "title": "Scale Pyramid Network for Crowd Counting", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658887"]}, {"id": "6dfe0d8f04b54fb2efe2b513b7a1de8c96a250bc", "title": "Effective use of convolutional neural networks and diverse deep supervision for better crowd counting", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10489-018-1394-9"]}, {"id": "a4927558407dab54353ac166f402e6a26c44e0ca", "title": "Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06285.pdf"], "doi": []}, {"id": "3ed135299650d53a5487f4fdd789f9d5b0930c13", "title": "Top-Down Feedback for Crowd Counting Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08881.pdf"], "doi": []}, {"id": "cbe82ab4774cff0e5714103526f479e5c6f23e7e", "title": "Crowd Counting Using Scale-Aware Attention Networks", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659316"]}, {"id": "72da189e5a814ac899e7cb4da80370301b0a20e3", "title": "Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.00853.pdf"], "doi": []}, {"id": "429b9c93bb928815f84fb0055831077ee8149c78", "title": "Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.05379.pdf"], "doi": []}]} \ No newline at end of file +{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "citations": [{"id": "427d6d9bc05b07c85fc6b2e52f12132f79a28f6c", "title": "Single-Image Crowd Counting via Multi-Column Convolutional Neural Network", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Single-Image_Crowd_Counting_CVPR_2016_paper.pdf", "http://sist.shanghaitech.edu.cn/office/research/news/CVPR2016/paper/Single-Image%20Crowd%20Counting%20via%20Multi-Column%20Convolutional%20Neural%20Network.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Single-Image_Crowd_Counting_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780439", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.70", "http://doi.org/10.1109/CVPR.2016.70"]}, {"id": "9185db7ba8375311879d506562a7c8e89f34ff82", "title": "Computer vision and machine learning for microscopy image analysis", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:62a03c45-2616-49a4-8976-fb1ff481915f"]}, {"id": "1ba4d5d3b0cb46d61f23279f70ae42735601a60c", "title": "Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.08660.pdf"], "doi": []}, {"id": "02a4fabb41ce20d10e4055fff49ac98b86723000", "title": "Efficient People Counting with Limited Manual Interferences", "year": "2014", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/37749/3/3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008106", "http://doi.org/10.1109/DICTA.2014.7008106"]}, {"id": "2ab8a7654f943c9d19e02eee0b2ce3b12d6bc3c1", "title": "Crowd Counting with Deep Negative Correlation Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578662"]}, {"id": "18ddef5e311b62adf5d037a240324f569bbfd248", "title": "Input Frame Dense Map For Distant View Object Detection For Foreground Crowd counting Result", "year": "2018", "pdf": [], "doi": []}, {"id": "49a690f5dacf8b6cae7f2a1c4ef2052042d6c729", "title": "Active learning for high-density crowd count regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078508", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078508", "http://doi.org/10.1109/AVSS.2017.8078508"]}, {"id": "a3f67dbb0d72b236ff7c11b9d3611478d04b902e", "title": "Crowd Behavior Analysis: A Review where Physics meets Biology", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06586.pdf"], "doi": []}, {"id": "8c4be5f5ff36bb326ae4325d2ed79a18a0296107", "title": "Crowd density estimation based on classification activation map and patch density level", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00521-018-3954-7"]}, {"id": "fb6745ecbe69aac73ff6353dbf781c588c55a7ff", "title": "Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08805.pdf"], "doi": []}, {"id": "2060d46b178719080d51bccb150a3f8f227807ce", "title": "Human count estimation in high density crowd images and videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7913173"]}, {"id": "9bd3b15944ac28aa7021db126e4344a478bdabf4", "title": "Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w37/papers/Dupont_Crowd-11_A_Dataset_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015005", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.271", "http://doi.org/10.1109/CVPRW.2017.271"]}, {"id": "a65b93c01518755291e19a0545c1a3d20e401c0a", "title": "A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.04453.pdf"], "doi": []}, {"id": "c298134646049f72b1a8732ec6594a34f6311660", "title": "Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01115.pdf"], "doi": []}, {"id": "d656078f3ce43ec5ec645ccfbd0af483c9669b10", "title": "Benchmark data and method for real-time people counting in cluttered scenes using depth sensors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04339.pdf"], "doi": []}, {"id": "9c889616034adce2af05d74eac44cf43a8106468", "title": "Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.09240.pdf"], "doi": []}, {"id": "6ede463b08327c61eab9c1a2bb73204e188e850a", "title": "Visual Surveillance for Hajj and Umrah: A Review", "year": "2014", "pdf": ["http://www.iaescore.com/journals/index.php/IJAI/article/download/1392/pdf"], "doi": ["https://doi.org/10.11591/ij-ai.v3i2.1392"]}, {"id": "3bf66814817f582510e0f0a717112b78aca075a0", "title": "UNIVERSITY OF CALIFORNIA RIVERSIDE Bio-Image Analysis for Understanding Plant Development and Mosquito Behaviors A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3bf6/6814817f582510e0f0a717112b78aca075a0.pdf"], "doi": []}, {"id": "5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985", "title": "Structured Inhomogeneous Density Map Learning for Crowd Counting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06642.pdf"], "doi": []}, {"id": "1810a716546622d138f3715bd4d3a425ea58c8b7", "title": "Digital Scene Augmentation Techniques for Generating Photo-Realistic Virtual Crowds", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516471"]}, {"id": "4119d0364fd2c5b869888025ea94e8b65a2d5faf", "title": "Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8517154"]}, {"id": "b9305c065b3c95fd0844d16a09fb9cc7c321cf58", "title": "Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning", "year": "2015", "pdf": ["http://crcv.ucf.edu/papers/Idrees_CrowdHumanDetection_PAMI2015.pdf", "http://www.crcv.ucf.edu/papers/Idrees%20et%20al.%20-%20Detecting%20Humans%20in%20Dense%20Crowds%20-%20PAMI15.pdf", "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_Detection_TPAMI_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018985", "http://doi.org/10.1109/TPAMI.2015.2396051", "https://www.ncbi.nlm.nih.gov/pubmed/26340254", "https://www.wikidata.org/entity/Q48653652"]}, {"id": "139f8dea90ed4b535aea4ae03211ca948fe34acd", "title": "People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578940"]}, {"id": "8861eb32367e6b227fafc21cee87f70189348c26", "title": "Efficient and Unbiased Estimation of Population Size", "year": "2015", "pdf": ["https://repositorio.unican.es/xmlui/bitstream/handle/10902/10250/EfficientAndUnbiased.pdf?isAllowed=y&sequence=3"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26535587", "http://journals.plos.org/plosone/article/file?id=info:doi/10.1371/journal.pone.0141868.s001&type=supplementary", "https://doi.org/10.1371/journal.pone.0141868"]}, {"id": "9fa796a11bbcc50fd20796701a123177cbd59ca5", "title": "Crowd Scene Analysis Using Deep Learning Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550851"]}, {"id": "71b6057016b7da02e454fcc42f270ec040b488cd", "title": "A New Framework For Crowded Scene Counting Based On Weighted Sum Of Regressors and Human Classifier.", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287980"]}, {"id": "c936b9a958a67cdd5665b923569d9d786c934029", "title": "Software Specification Document For", "year": "", "pdf": ["https://pdfs.semanticscholar.org/c936/b9a958a67cdd5665b923569d9d786c934029.pdf"], "doi": []}, {"id": "f32db58cbb8319eb8f2cfa2720c810f8410eb569", "title": "A software suite for large-scale video- and image-based analytics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f32d/b58cbb8319eb8f2cfa2720c810f8410eb569.pdf"], "doi": []}, {"id": "33d076ad8ecba15c61d5ee8c3e2623d23f73d396", "title": "Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578479"]}, {"id": "ba1072f692840c6e3c6c506f164b741c22a27a68", "title": "Online real-time crowd behavior detection in video sequences", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.09.010"]}, {"id": "2faccc93b7bf66ec8764ed3293849bed1bdbf115", "title": "People counting based on head detection combining Adaboost and CNN in crowded surveillance environment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.097"]}, {"id": "2bf53442826052dcf1f3e8f2b231eaf164ddfe3c", "title": "Crowd density estimation in still images using multiple local features and boosting regression ensemble", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00521-019-04021-2"]}, {"id": "5101de7052206087dc256660d72cb05d0553b24c", "title": "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578648"]}, {"id": "216bf8374a6fd745e623750583bb2ffbae6e7edd", "title": "Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578659"]}, {"id": "0c3d1f306fed393b92fe62f03496c0405ed1ab4d", "title": "Rich Convolutional Features Fusion for Crowd Counting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373856", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00063", "http://doi.org/10.1109/FG.2018.00063"]}, {"id": "5bb6270ac7932deafbd42d884b58b93a10d22dcf", "title": "The crowd congestion level \u2014 A new measure for risk assessment in video-based crowd monitoring", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906034"]}, {"id": "e2ee3eb6ed0cb3278cde72f67ec709af33b55e84", "title": "Crowd flux analysis and abnormal event detection in unstructured and structured scenes", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1593-7"]}, {"id": "2dafb6152438431c968257234d08328cba8f63f6", "title": "Flow Segmentation in Dense Crowds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04608.pdf"], "doi": []}, {"id": "ca3ff5775a5e63249850ea3b20585b1faa857c72", "title": "Motion sketch based crowd video retrieval", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-4568-2"]}, {"id": "2de7ec14e49ccd5ccd14f03df4c70be4ddf0c727", "title": "Tracking People in Dense Crowds Using Supervoxels", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907517"]}, {"id": "cfd97507f1a7dd2923e2eabe182f350f42c739cb", "title": "Real-time abnormal situation detection based on particle advection in crowded scenes", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11554-014-0424-z"]}, {"id": "df8d3c10caf8d3ccce0cf31ec5238d93d4691b83", "title": "Motion detection using optical flow and standard deviation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877597"]}, {"id": "2c0b355b8c25b3129bc3a41761e37200c8e5e055", "title": "Measuring Flow Complexity in Videos", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751246"]}, {"id": "dc61f5a22fde0b3163ef64aa452518225d47c6e3", "title": "Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8384026"]}, {"id": "1116e7ce6565b3c2f3bdae80b11bec166353a7cd", "title": "A Congestion Detection System Using Optical Flow and Standard Deviation in Mass Gathering", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2979812"]}, {"id": "0731b7ae6e4caff1c2b714530f563e1c2276cfe2", "title": "Dense crowd counting from still images with convolutional neural networks", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.jvcir.2016.03.021"]}, {"id": "9adcf858bda2991627951b68b75c99fc1ebd0f76", "title": "Switching Convolutional Neural Network for Crowd Counting", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099912"]}, {"id": "5302596bc8c84584a3531f2048bd7bf8e9507042", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237813"]}, {"id": "715a62ab4c262431da7d4549c1689f96c299589c", "title": "Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01115.pdf"], "doi": []}, {"id": "6d5588d88193a4718db2377a8dd3679e35ecd1c1", "title": "Scale Pyramid Network for Crowd Counting", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658887"]}, {"id": "6dfe0d8f04b54fb2efe2b513b7a1de8c96a250bc", "title": "Effective use of convolutional neural networks and diverse deep supervision for better crowd counting", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10489-018-1394-9"]}, {"id": "3ed135299650d53a5487f4fdd789f9d5b0930c13", "title": "Top-Down Feedback for Crowd Counting Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08881.pdf"], "doi": []}, {"id": "cbe82ab4774cff0e5714103526f479e5c6f23e7e", "title": "Crowd Counting Using Scale-Aware Attention Networks", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659316"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/voc.json b/site/datasets/unknown/voc.json index 03bf84cf..ded0b8a3 100644 --- a/site/datasets/unknown/voc.json +++ b/site/datasets/unknown/voc.json @@ -1 +1 @@ -{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "citations": [{"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "6b6fcf1220ea100aa80004018c78b137289d3c50", "title": "CAD: Scale Invariant Framework for Real-Time Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265304"]}, {"id": "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "title": "Supervised Learning Approaches for Automatic Structuring of Videos. (M\u00e9thodes d'apprentissage supervis\u00e9 pour la structuration automatique de vid\u00e9os)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/656f/05741c402ba43bb1b9a58bcc5f7ce2403d9a.pdf"], "doi": []}, {"id": "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "title": "Chained Cascade Network for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237476"]}, {"id": "e58434a01c45505995b000f5e631843a2f2ea582", "title": "Scale coding bag of deep features for human attribute and action recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04884.pdf"], "doi": []}, {"id": "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "title": "Visual dictionaries as intermediate features in the human brain", "year": "2014", "pdf": ["http://journal-cdn.frontiersin.org/article/104962/files/pubmed-zip/versions/1/pdf", "http://journal.frontiersin.org/article/10.3389/fncom.2014.00168/pdf", "https://pure.uva.nl/ws/files/2455021/162945_fncom_08_00168.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25642183", "http://doi.org/10.3389/fncom.2014.00168", "https://www.wikidata.org/entity/Q34969835"]}, {"id": "4c5d723dd83250c6b289c94318717de2d373a6ed", "title": "Learning Image Classification and Retrieval Models", "year": "2012", "pdf": [], "doi": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "title": "Derivate-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01906.pdf"], "doi": []}, {"id": "a221588fd2d062462254481cfd9563fec2f7c387", "title": "Deep neural network ensemble architecture for eye movements classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8345537"]}, {"id": "67126ad0af544740c455311d08cb180aec830a6c", "title": "Generating Descriptions of Spatial Relations between Objects in Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6712/6ad0af544740c455311d08cb180aec830a6c.pdf"], "doi": []}, {"id": "823db813f036365cf9b22b2081ec167a2b582532", "title": "Segmentation and Shape Extraction from Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354273", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00169", "http://doi.org/10.1109/WACV.2018.00169", "http://www.grk1564.uni-siegen.de/publicationPDFbyID?ID=926"]}, {"id": "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "title": "Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention 1 : 3", "year": "2017", "pdf": [], "doi": []}, {"id": "2c9c597ab660815e07980e9655c3c5989402205b", "title": "Vision-Based Reacquisition for Task-Level Control", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c9c/597ab660815e07980e9655c3c5989402205b.pdf"], "doi": []}, {"id": "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "title": "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00248.pdf"], "doi": []}, {"id": "ff18125a8f549135e6320fed91d0002bd2dae635", "title": "Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06300.pdf"], "doi": []}, {"id": "3e50e351687779c05390daf117f0394d1556cd3c", "title": "Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e50/e351687779c05390daf117f0394d1556cd3c.pdf"], "doi": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"], "doi": []}, {"id": "4ba503d8f173880d8e8402808f54b78b653e5d20", "title": "Accelerating Stochastic Gradient Descent via Online Learning to Sample", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4ba5/03d8f173880d8e8402808f54b78b653e5d20.pdf"], "doi": []}, {"id": "03a2235fea70317461222fac05e38ee35ead9711", "title": "Implementation of a Computer Vision Algorithm for Onboard Detection of Unmanned Aircraft submitted by Luk\u00e1\u0161 Bauer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03a2/235fea70317461222fac05e38ee35ead9711.pdf"], "doi": []}, {"id": "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "title": "Deep learning for text spotting", "year": "2015", "pdf": [], "doi": []}, {"id": "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "title": "Tracking-by-Segmentation with Online Gradient Boosting Decision Tree", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410707", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.350", "http://doi.org/10.1109/ICCV.2015.350"]}, {"id": "4896c9f6958137c88db29a3a707aafae3c29d106", "title": "Discriminative Re-ranking of Diverse Segmentations", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619095"]}, {"id": "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "title": "Object Discovery via Cohesion Measurement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.08944.pdf"], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "title": "An Object Detector Trained on Line Drawings", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/369b/d35ab8bad4c7bc5e376cc776a5366d97b12e.pdf"], "doi": []}, {"id": "46971fb6caa61c606b046da855be4e196a830ccf", "title": "Identification of Scene Text by Character Descriptor in Smart Mobile Devices", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4697/1fb6caa61c606b046da855be4e196a830ccf.pdf"], "doi": []}, {"id": "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "title": "Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08011.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "cf384eda31030a45238ebd8356ace7600da5076b", "title": "Cross-Domain CNN for Hyperspectral Image Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00093.pdf"], "doi": []}, {"id": "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "title": "Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-ijcv14.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-ijcv14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0778-5"]}, {"id": "83acbf0bee402b0472ff101cee5942f4137d91c3", "title": "Semi-automatic Annotation on Image Segmentation Hierarchies", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/83ac/bf0bee402b0472ff101cee5942f4137d91c3.pdf"], "doi": []}, {"id": "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "title": "Automatic thresholding of SIFT descriptors", "year": "2016", "pdf": ["https://arxiv.org/pdf/1811.03173.pdf"], "doi": []}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": [], "doi": []}, {"id": "1a5151b4205ab27b1c76f98964debbfc11b124d5", "title": "Self Paced Deep Learning for Weakly Supervised Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07651.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"], "doi": []}, {"id": "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "title": "Instance-level video segmentation from object tracks Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/e4dc/24e4926df4de3e8d7ca7cd1f4115e91f03e1.pdf"], "doi": []}, {"id": "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00123.pdf"], "doi": []}, {"id": "9d67f5adf4497ba99201d318cfbbed07e926c05b", "title": "Unseen Object Segmentation in Videos via Transferable Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02444.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "806aea24148fc2ef851803c216a0a25894d78bf4", "title": "Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294481", "http://doi.org/10.1109/I4CS.2015.7294481"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4817/826f1af10e0c31dee067f8d9255d6387d486.pdf"], "doi": []}, {"id": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"], "doi": []}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", "https://vlg.dgist.ac.kr/research/pose_emb/data/CVPR2016_pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780903", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.534", "http://doi.org/10.1109/CVPR.2016.534"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"], "doi": []}, {"id": "071680ca97de050a372ea79f2b99f102bb3ca6ef", "title": "Inferring Unseen Views of People", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-paper.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-poster.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/supp.pdf", "http://www.cs.utexas.edu/~chaoyeh/cvpr_2014_Inferring_Unseen_Views_of_People%20(2).pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-pose-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909655", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.258", "http://doi.org/10.1109/CVPR.2014.258"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.40", "http://doi.org/10.1109/ICCV.2015.40"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"], "doi": []}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.04.004"]}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "title": "Superpixel Hierarchy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.06325.pdf"], "doi": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", "pdf": ["http://cvlab.postech.ac.kr/~tgx.lim/paper/iccv2013_semantic.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W08/papers/Baek_Superpixel_Coherency_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755909"]}, {"id": "73818ae13a89c2377c30cdb029fdb7e490fe5367", "title": "Joint cost minimization for multi-object tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078481", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078481", "http://doi.org/10.1109/AVSS.2017.8078481"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"], "doi": []}, {"id": "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "title": "Automatic foreground extraction via joint CRF and online learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"], "doi": []}, {"id": "c5632e2117d268159225d5c307b7efbb6428ccba", "title": "Understanding image concepts using ISTOP model", "year": "2016", "pdf": ["http://www.cs.uu.nl/groups/MG/multimedia/publications/art/PR2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.010"]}, {"id": "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "title": "Conditional Entropies as Over-Segmentation and Under-Segmentation Metrics for Multi-Part Image Segmentation", "year": "2011", "pdf": [], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"], "doi": []}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"], "doi": ["https://doi.org/10.1007/s11042-018-5883-y"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"], "doi": []}, {"id": "5020a75c45416073d0b07b1deb7382bc80de1779", "title": "Human Detection Using Learned Part Alphabet and Pose Dictionary", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf", "http://mc.eistar.net/UpLoadFiles/Papers/%5B38%5D%202014%20ECCV%20Yaocong.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930251.pdf", "https://cis.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_17"]}, {"id": "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "title": "Object cosegmentation using deep Siamese network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02555.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "title": "Robust object detection under partial occlusion", "year": "2016", "pdf": [], "doi": []}, {"id": "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "title": "Trained 3D Models for CNN based Object Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/49f2/76e1b8fd162ac3cd996becc63cab2b2535b7.pdf"], "doi": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784137", "http://doi.org/10.1109/TPAMI.2014.2315814", "https://www.ncbi.nlm.nih.gov/pubmed/26352638", "https://www.wikidata.org/entity/Q38404154"]}, {"id": "efe133717899b41cd4c0b0c999da312d3af60a6e", "title": "Depth-Based Hand Pose Estimation: Methods, Data, and Challenges", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.06378.pdf"], "doi": []}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2013.10.005", "http://t2r2.star.titech.ac.jp/rrws/file/CTT100664441/ATD100000413/"]}, {"id": "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "title": "Instance-Level Video Segmentation from Object Tracks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/seguin2016.pdf", "http://www.di.ens.fr/willow/research/instancelevel/seguin16instancelevel.pdf", "http://www.di.ens.fr/~bojanowski/papers/seguin16instance.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780769", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.400", "http://doi.org/10.1109/CVPR.2016.400"]}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "a5683661e80668e05170bf17bcbd754d1b07af74", "title": "Comparison of Data Set Bias in Object Recognition Benchmarks", "year": "2015", "pdf": ["http://vfacstaff.ltu.edu/lshamir/publications/object_recognition_dataset_bias.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299607", "http://doi.org/10.1109/ACCESS.2015.2491921"]}, {"id": "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578136"]}, {"id": "575a0e97702edcb0621a47b574949bac50e34200", "title": "Unsupervised Learning by Predicting Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05310.pdf"], "doi": []}, {"id": "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "title": "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04984.pdf"], "doi": []}, {"id": "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"], "doi": []}, {"id": "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "title": "Action recognition in still images using a combination of human pose and context information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466977", "http://doi.org/10.1109/ICIP.2012.6466977"]}, {"id": "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "title": "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06301.pdf"], "doi": []}, {"id": "90e36f66c25a4c73a252102c6c6c329c36d82676", "title": "Probably Unknown: Deep Inverse Sensor Modelling In Radar", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08151.pdf"], "doi": []}, {"id": "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "title": "A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb71/0e9d897b7c1fd5275a0bcfa22711c5768990.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.056"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "title": "A Method to Detect Boats in Images of the Amazonian Rivers", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8247064", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2017.73", "http://doi.org/10.1109/BRACIS.2017.73"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597593", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.345", "http://doi.org/10.1109/ICPR.2010.345"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"], "doi": []}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"], "doi": []}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04702.pdf"], "doi": []}, {"id": "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "title": "From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227436", "http://doi.org/10.1109/DICTA.2017.8227436"]}, {"id": "659fc2a483a97dafb8fb110d08369652bbb759f9", "title": "Improving the Fisher Kernel for Large-Scale Image Classification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/659f/c2a483a97dafb8fb110d08369652bbb759f9.pdf"], "doi": []}, {"id": "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "title": "Online Object Tracking, Learning and Parsing with And-Or Graphs", "year": "2014", "pdf": ["https://arxiv.org/pdf/1509.08067.pdf"], "doi": []}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"], "doi": []}, {"id": "43fe9006b90137d6ce85a539685ce66c13f0e38e", "title": "A review of image-based automatic facial landmark identification techniques", "year": "", "pdf": ["https://pdfs.semanticscholar.org/43fe/9006b90137d6ce85a539685ce66c13f0e38e.pdf"], "doi": []}, {"id": "642772c38ff690d17a3ce84a1d8646aefc802139", "title": "VIDEO OBJECT TRACKING BASED ON AUTOMATIC BACKGROUND SEGMENTATION : A SURVEY", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6427/72c38ff690d17a3ce84a1d8646aefc802139.pdf"], "doi": []}, {"id": "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "title": "Scene understanding with complete scenes and structured representations", "year": "2014", "pdf": [], "doi": []}, {"id": "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "title": "Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance", "year": "2013", "pdf": ["https://arxiv.org/pdf/1306.4746.pdf"], "doi": []}, {"id": "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "title": "Object Detection for Crime Scene Evidence Analysis Using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6926/4f28158f9245a06f7a2c1ae666241261cc0e.pdf"], "doi": []}, {"id": "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "title": "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354202"]}, {"id": "9b6538d09e914c41345812b3086feff1dc1ae218", "title": "Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08937.pdf"], "doi": []}, {"id": "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "title": "Representations and Similarities of Images for Visual Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf41/7e1c265b31720b4fb980afb83cc3a573fa6f.pdf"], "doi": []}, {"id": "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "title": "Aalborg Universitet Detection of U . S . Traffic", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6e53/63af2bfb7d1b2bd13feb41c2688bd0cf12b3.pdf"], "doi": []}, {"id": "878169be6e2c87df2d8a1266e9e37de63b524ae7", "title": "Image interpretation above and below the object level.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8781/69be6e2c87df2d8a1266e9e37de63b524ae7.pdf"], "doi": []}, {"id": "3daafe6389d877fe15d8823cdf5ac15fd919676f", "title": "Human Action Localization with Sparse Spatial Supervision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05197.pdf"], "doi": []}, {"id": "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "title": "Discriminative Segment Annotation in Weakly Labeled Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619165"]}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619254", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.410", "http://doi.org/10.1109/CVPR.2013.410"]}, {"id": "9434524669777d281a8a7358f20181c9e157942e", "title": "VSEM: An open library for visual semantics representation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9434/524669777d281a8a7358f20181c9e157942e.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "4d910c5ab0b70ddbef6be944077ed63821608135", "title": "On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d91/0c5ab0b70ddbef6be944077ed63821608135.pdf"], "doi": []}, {"id": "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "title": "Describing Video Contents in Natural Language", "year": "2012", "pdf": [], "doi": []}, {"id": "07764e1607d9e3d8094455adb658077996eb38c4", "title": "End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07201.pdf"], "doi": []}, {"id": "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "title": "Adaptive NormalHedge for robust visual tracking", "year": "2015", "pdf": ["https://core.ac.uk/download/pdf/33581176.pdf", "https://pure.qub.ac.uk/portal/files/13941301/main_huiyu.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2014.08.027"]}, {"id": "b961009dedea99f948650df7291a28f18bbfc1dc", "title": "Towards Automated Visual Monitoring of Individual Gorillas in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265544"]}, {"id": "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "title": "A Flexible Object-of-Interest Annotation Framework for Online Video Portals", "year": "2012", "pdf": ["http://www.mdpi.com/1999-5903/4/1/179/pdf"], "doi": ["https://doi.org/10.3390/fi4010179"]}, {"id": "d4f454b24a7901dea14858808bbe277c7bee8ffb", "title": "Edge-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": [], "doi": []}, {"id": "6768b558cc58e113096540c123ef3b2c2d2469a1", "title": "Maximum Margin Linear Classifiers in Unions of Subspaces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1a06/e518bf15015153b4973bb2e9e06e51485a4c.pdf"], "doi": []}, {"id": "ba6c19771926564e89be4ace7c33dc3da580249e", "title": "Utilisation du contexte pour l'indexation s\u00e9mantique des images et vid\u00e9os. (Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265469"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801548", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.58", "http://doi.org/10.1109/CRV.2016.58"]}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709034"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": ["http://doi.org/10.1016/j.asoc.2017.08.005"]}, {"id": "ad52d047a44f20416f9dd6655cef54169d481454", "title": "Perceptual modeling in the problem of active object recognition in visual scenes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.007"]}, {"id": "e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"], "doi": []}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0646-8"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751336"]}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.12", "http://doi.org/10.1109/CVPR.2013.12"]}, {"id": "70b420850e16ec2afe42d5c0006742d9045b3e7f", "title": "If You Can't Beat Them, Join Them: Learning with Noisy Data", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806231"]}, {"id": "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578788", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00690", "http://doi.org/10.1109/CVPR.2018.00690"]}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "8ff6294535acf46abf523b879f20685de0692a8c", "title": "Bayes Risk for Large Scale Hierarchical Top-K Image Classification", "year": "2013", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/153936/eth-6877-01.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.3929/ethz-a-009767867"]}, {"id": "d97224063697392f073e467005e89973d2be7d65", "title": "Recherche de motifs fr\u00e9quents dans une base de cartes combinatoires. (Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"], "doi": []}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"], "doi": []}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909874", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.479", "http://doi.org/10.1109/CVPR.2014.479"]}, {"id": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"], "doi": []}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"], "doi": []}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372146", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.50", "http://doi.org/10.1109/ICTAI.2015.50"]}, {"id": "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"], "doi": []}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "6a405e7284ff7e2127a241d60646b4abd3da92f2", "title": "Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "c0e551acb063c9cd73dea28ab8963f850b6f1148", "title": "A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e5/51acb063c9cd73dea28ab8963f850b6f1148.pdf"], "doi": []}, {"id": "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "title": "WEAKLY SUPERVISED SEMANTIC SEGMENTATION 3 priors can give good pixel labelling results", "year": "2017", "pdf": [], "doi": []}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "title": "DOC: DEEP OCCLUSION ESTIMATION FROM A SIN-", "year": "2016", "pdf": [], "doi": []}, {"id": "c6c691b772822881c5c52b779100928f0d54fdd7", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"], "doi": []}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "13e424d502bf539108ad6f5cc877cfb1255dbee0", "title": "Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045914"]}, {"id": "1dbd7653ede6af15d539f64cb2128752ca029e44", "title": "Hollywood 3D: Recognizing Actions in 3D Natural Scenes", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619280"]}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "title": "The Recognition of License Plate Restrictions Based on Faster R-CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b3e/e5455956a40c6e9e09ccda0f4fb162838629.pdf"], "doi": []}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"], "doi": []}, {"id": "4a31b3fcc346bf3235efe1c0fb310833570cef27", "title": "Learning Intelligent Dialogs for Bounding Box Annotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579054"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05600.pdf"], "doi": []}, {"id": "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "title": "Sketch Me That Shoe", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/hsiao_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "https://www.eecs.qmul.ac.uk/~qian/SketchMeThatShoe.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780462", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93", "http://doi.org/10.1109/CVPR.2016.93"]}, {"id": "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "title": "Monocular Road Terrain Detection by Combining Visual and Spatial Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73b1/10df4809d0a015f90fa6e7a7dce351bcc52e.pdf", "https://www.researchgate.net/profile/Jannik_Fritsch/publication/261073577_Monocular_Road_Terrain_Detection_by_Combining_Visual_and_Spatial_Information/links/5475ef240cf29afed612e5a8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766705", "http://doi.org/10.1109/TITS.2014.2303899"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083681", "http://doi.org/10.1109/MCI.2015.2405317"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"], "doi": []}, {"id": "22cf367d14e646914cc959bbcd402df0c20cd0dc", "title": "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04024.pdf"], "doi": []}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"], "doi": ["http://doi.org/10.1186/s13640-018-0247-0"]}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.cag.2017.07.023"]}, {"id": "c56da136b8d62125009a131f6dc21fcd0dd6a559", "title": "ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT)", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270166", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.235", "http://doi.org/10.1109/ICDAR.2017.235"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "title": "Segmentation Results Stimuli Final Saliency Map Ground Truth Constructed Graph CCA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/32be/be84ffbd4fd81f0e5bb30dbc90774aa3b14b.pdf"], "doi": []}, {"id": "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "title": "A learning framework for higher-order consistency models in multi-class pixel labeling problems", "year": "2014", "pdf": [], "doi": []}, {"id": "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "title": "Detecting activities of daily living in first-person camera views", "year": "2012", "pdf": ["http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_poster.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_slides.pdf", "http://vision.ics.uci.edu/papers/PirsiavashR_CVPR_2012_1/PirsiavashR_CVPR_2012_1.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w06-cagdas.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/dinesh-expt.pdf", "http://www.ics.uci.edu/~dramanan/papers/ADL_2012.pdf", "https://www.cs.cmu.edu/~deva/papers/ADL_2012.pdf", "https://www.csee.umbc.edu/~hpirsiav/papers/adl_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248010", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248010", "http://doi.org/10.1109/CVPR.2012.6248010"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100001", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.518", "http://doi.org/10.1109/CVPR.2017.518"]}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "2a2232f2972191a0606d588aa4f13c9f27d1972d", "title": "InstanceCut: From Edges to Instances with MultiCut", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08272.pdf"], "doi": []}, {"id": "029cabb6f3f6a824590e735feb1d8557646db8a6", "title": "One-Bit Object Detection: On learning to localize objects with minimal supervision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.1024.pdf"], "doi": []}, {"id": "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "title": "Deep Learning for People Detection on Beach Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575616", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00045", "http://doi.org/10.1109/BRACIS.2018.00045"]}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"], "doi": []}, {"id": "03fd6774f57aaed9320060e4527121c59e9eca2b", "title": "Intrinsic spatial pyramid matching for deformable 3D shape retrieval", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-013-0041-9"]}, {"id": "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "title": "Fast Neural Cell Detection Using Light-Weight SSD Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Yi_Fast_Neural_Cell_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014853", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.119", "http://doi.org/10.1109/CVPRW.2017.119"]}, {"id": "c8ba499e8d8daa32637885f03137f41d61023bf9", "title": "Weak supervision for detecting object classes from activities", "year": "2017", "pdf": ["https://ps.is.tue.mpg.de/uploads_file/attachment/attachment/296/weak_supervision_object_detection.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.006"]}, {"id": "cd1a636c1261208084cb8395c877c7ca22c76df1", "title": "Fast Deep Vehicle Detection in Aerial Images", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926624.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926624", "http://doi.org/10.1109/WACV.2017.41"]}, {"id": "101c7305f141145c4d168dfa40284e0ad86a0d9b", "title": "Active Object Localization with Deep Reinforcement Learning", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410643"]}, {"id": "48922520e6de0954a83f26977b2b50b7fbfdcf61", "title": "A survey of sketch-based image retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0953-8"]}, {"id": "c37fe13f94dfc2f3494a35a63336689ce4392135", "title": "MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365094", "http://doi.org/10.1109/ACCESS.2018.2836921"]}, {"id": "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751204", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.99", "http://doi.org/10.1109/ICCV.2013.99"]}, {"id": "e8ffef3d4d74720e766e506e175e533bdc8ee705", "title": "Object Detection Networks on Convolutional Feature Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1504.06066.pdf"], "doi": []}, {"id": "1daf971c087f5e21dbae831231377cbe9bb2f188", "title": "Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619272"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0388"]}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"], "doi": []}, {"id": "d9dafc343727db2b6060c868d748f97eff6bac7d", "title": "Improved pedestrian detection using motion segmentation and silhouette orientation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4933-1"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38628-2_34"]}, {"id": "99df9e95b3f3d187636918a65277baf7c98cbfc5", "title": "An efficient subsequence search for video anomaly detection and localization", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2453-4", "https://www.wikidata.org/entity/Q56907428"]}, {"id": "832246357de85108cb910e773c203997448c570a", "title": "Recurrently Target-Attending Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780530"]}, {"id": "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "title": "Joint Object-Material Category Segmentation from Audio-Visual Cues", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02220.pdf"], "doi": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"], "doi": []}, {"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406400", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.51", "http://doi.org/10.1109/ICCVW.2015.51"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.06.009"]}, {"id": "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "title": "Square Localization for Efficient and Accurate Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410651"]}, {"id": "bf3aae7293f664d512c0904916d804327af22f52", "title": "STDnet: A ConvNet for Small Target Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf3a/ae7293f664d512c0904916d804327af22f52.pdf"], "doi": []}, {"id": "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "title": "Instance Segmentation by Deep Coloring", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10007.pdf"], "doi": []}, {"id": "0de46e6768acaa71745406d646573644b975dc62", "title": "Scene-Domain Active Part Models for Object Representation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410644"]}, {"id": "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "title": "Bottom-up Object Detection by Grouping Extreme and Center Points", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08043.pdf"], "doi": []}, {"id": "1d7029a974f950de61f3980704956b43f1a06e7b", "title": "Efficient Optimization for Rank-Based Loss Functions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578487"]}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "title": "A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9c43/65a56fb3cf41b15712657b15f7422ca0dab2.pdf"], "doi": []}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": [], "doi": []}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"], "doi": []}, {"id": "084bd219dd239dc4c9a02621a5333d3bc1446566", "title": "DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.00072.pdf"], "doi": []}, {"id": "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "title": "Interactive Perception: Leveraging Action in Perception and Perception in Action", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03670.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592805"]}, {"id": "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "title": "Fine-grained recognition of plants from images", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0265-4?site=plantmethods.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13007-017-0265-4", "https://www.ncbi.nlm.nih.gov/pubmed/29299049"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"], "doi": []}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "2114b25727a21275e88e30dad0423752f6047dae", "title": "Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cac0/c534e02784a3a873690d213dd8c92b81992f.pdf"], "doi": []}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"], "doi": []}, {"id": "b7efecec654acd8831d045e728b54356c697c9c8", "title": "Learning Semantic Segmentation with Diverse Supervision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354268"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"], "doi": []}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"], "doi": []}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100113", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.630", "http://doi.org/10.1109/CVPR.2017.630"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"], "doi": []}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751448", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.337", "http://doi.org/10.1109/ICCV.2013.337"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.056"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137235", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2011.79", "http://doi.org/10.1109/ICDM.2011.79"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2013.0124"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751156", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.54", "http://doi.org/10.1109/ICCV.2013.54"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"], "doi": []}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"], "doi": []}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270075", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.144", "http://doi.org/10.1109/ICDAR.2017.144"]}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"], "doi": []}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410688"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.032"]}, {"id": "05db46c7745c360fa5938ee204c81efdcc84c1da", "title": "An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06795.pdf"], "doi": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909618"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797075", "http://doi.org/10.1109/DICTA.2016.7797075"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.395", "http://doi.org/10.1109/CVPR.2016.395"]}, {"id": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578834"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"], "doi": []}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"], "doi": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"], "doi": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"], "doi": []}, {"id": "115e8a4f76a57b893c985ea4f7530b90d071679c", "title": "FSSD: Feature Fusion Single Shot Multibox Detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00960.pdf"], "doi": []}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.pdf"], "doi": []}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410574", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.217", "http://doi.org/10.1109/ICCV.2015.217"]}, {"id": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4c45/4fda214e00c9cba4bb759da78949a4130873.pdf"], "doi": []}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"], "doi": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"], "doi": []}, {"id": "d250e57f6b7e06bb1dac41c8b89700086a85999e", "title": "Self-Supervised Generalisation with Meta Auxiliary Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08933.pdf"], "doi": []}, {"id": "de35ea60396629b2d1ceb73df56a97ed21012680", "title": "Robust object tracking via multi-scale patch based sparse coding histogram", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3289-2"]}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "19339e816d8006ad462868b01812b03eb463ead1", "title": "Collective activity localization by spatiality preservation search", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1080/01691864.2016.1172506", "https://www.wikidata.org/entity/Q58025855"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097417", "http://doi.org/10.1109/ACCESS.2017.2770178"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"], "doi": []}, {"id": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.pdf"], "doi": []}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"], "doi": []}, {"id": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"], "doi": []}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.pdf"], "doi": ["https://doi.org/10.5220/0006107503440351"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"], "doi": []}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation", "year": "2014", "pdf": ["http://people.eecs.berkeley.edu/~sgupta/pdf/ijcv14a.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0777-6"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"], "doi": []}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"], "doi": []}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"], "doi": []}, {"id": "149f3cc167b046dc790b1f4f1c48eeb31e898403", "title": "A study of vehicle detector generalization on U.S. highway", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0669.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795567", "http://doi.org/10.1109/ITSC.2016.7795567"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"], "doi": []}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"], "doi": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"], "doi": []}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-012-1296-7"]}, {"id": "25858dc59faf2630bf0eefe23297ce262370cff0", "title": "Monitoring Giraffe Behavior in Thermal Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046812"]}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"], "doi": []}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"], "doi": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2015.06.002"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045563", "http://doi.org/10.1109/LSP.2015.2404856"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"], "doi": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": [], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "19b6b0649cc669791c799c52fc56bdc556f06916", "title": "Efficient Model Evaluation with Bilinear Separation Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045964"]}, {"id": "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "title": "Generating Diverse Image Datasets with Limited Labeling", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967285"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379494", "http://doi.org/10.1109/SMC.2015.362"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"], "doi": []}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911291", "http://doi.org/10.1109/TPAMI.2017.2697849", "https://www.ncbi.nlm.nih.gov/pubmed/28459683", "https://www.wikidata.org/entity/Q38811217"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"], "doi": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00227", "http://doi.org/10.1109/CVPRW.2018.00227"]}, {"id": "2622d2467f19bc60427f8ea495515e7da82316c9", "title": "Tell Me Where to Look: Guided Attention Inference Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579058"]}, {"id": "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "title": "Mixing Hierarchical Contexts for Object Recognition", "year": "2011", "pdf": ["http://web.ing.puc.cl/~asoto/papers/Peralta-2011.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-25085-9_27"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.016"]}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410395", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.38", "http://doi.org/10.1109/ICCV.2015.38"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"], "doi": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"], "doi": []}, {"id": "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "title": "Distant Vehicle Detection Using Radar and Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10951.pdf"], "doi": []}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.08.006"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "5a364ecb2d10b637c63b885d27eb372390232277", "title": "Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789641"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.08.005"]}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"], "doi": []}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.234", "http://doi.org/10.1109/ICCV.2015.234"]}, {"id": "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "title": "Sparse Coding for Object Recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "aa23d33983b1abd2d8a677040eb875e93c478a7f", "title": "Measuring the Objectness of Image Windows", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/alexe11-techreport.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/alexe12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/techreports/eth_biwi_00882.pdf", "https://www.research.ed.ac.uk/portal/files/17686204/Alexe_et_al_2010_Measuring_the_objectnessi.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291", "http://doi.org/10.1109/TPAMI.2012.28", "https://www.ncbi.nlm.nih.gov/pubmed/22248633", "https://www.wikidata.org/entity/Q50666022"]}, {"id": "cab372bc3824780cce20d9dd1c22d4df39ed081a", "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.00915.pdf"], "doi": []}, {"id": "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "title": "Reconstructing PASCAL VOC", "year": "2014", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://home.isr.uc.pt/~joaoluis/papers/cvpr2014_1.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr2014_1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.13", "http://doi.org/10.1109/CVPR.2014.13"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "127316fbe268c78c519ceb23d41100e86639418a", "title": "CNN Features Off-the-Shelf: An Astounding Baseline for Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6382.pdf"], "doi": []}, {"id": "148686aebefff0a7fb3f80024f765ef4b06d2efc", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.5027.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "9bde2137a6a374ff81820e55a75ae5b70bf7fd5e", "title": "PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25382277", "https://doi.org/10.1039/C4MB00414K"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "bfa6ad4d71008505729274d008a9b4a7d92b2985", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.05442.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "ec187cedb69b389d06da26b17d889020e36ba6f6", "title": "ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240652"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999", "http://doi.org/10.1109/TMM.2018.2865686"]}, {"id": "562463fafacca4bbe5256e318eb628bf915f4114", "title": "SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797084"]}, {"id": "8bc80a5d721757868d85d9e40c56c15d9b5c0df0", "title": "Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270088"]}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "51a4d658c93c5169eef7568d3d1cf53e8e495087", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "20a78d3145279dcd799cd7a856ae2714f4863a16", "title": "SSD: Single Shot MultiBox Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02325.pdf"], "doi": []}, {"id": "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "bf5f67ebbe41f2fb1726a7c3c0be707366d5a4fb", "title": "Indoor Segmentation and Support Inference from RGBD Images", "year": "2012", "pdf": ["http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf", "http://cs.nyu.edu/~silberman/papers/indoor_seg_support_supplementary.pdf", "http://videolectures.net/site/normal_dl/tag=725527/eccv2012_silberman_images_01.pdf", "http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_indoorkinect_nathan.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33715-4_54"]}, {"id": "2dc9b005e936c9c303386caacc8d41cabdb1a0a1", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "2f56b1ac5b9faac9527b6814778925e9242cf5fd", "title": "Training Region-Based Object Detectors with Online Hard Example Mining", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780458"]}, {"id": "42764b57d0794b63487a295ce8c07eeb6961477e", "title": "Instance-Aware Semantic Segmentation via Multi-task Network Cascades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780712"]}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "24d66ec9dd202a6ea02b8723ae9d2fd7ffd32a4a", "title": "BING: Binarized Normed Gradients for Objectness Estimation at 300fps", "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_01.pdf", "http://mmcheng.net/mftp/Papers/BingPoster.pdf", "http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://orca-mwe.cf.ac.uk/115427/1/CvmBING.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/BING-Binarized-Normed-Gradients-for-Objectness-Estimation-at-300fps.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_BING_Binarized_Normed_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/14cvprObjectnessBING.pdf", "https://zimingzhang.files.wordpress.com/2014/10/14cvprobjectnessbing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909816", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.414", "http://doi.org/10.1109/CVPR.2014.414"]}, {"id": "21d4258394a9c8f0ea15f0792d67f7e645720ff6", "title": "Multiscale Combinatorial Grouping", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909443"]}, {"id": "58a6eb3584b2f5df2f25d39a218904d510cae516", "title": "The UAVid Dataset for Video Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10438.pdf"], "doi": []}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "ab9d87a03ce3538ff42b6c26d87e676107cc392c", "title": "Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619260"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "title": "Pooling in image representation: The visual codeword point of view", "year": "2013", "pdf": ["http://cedric.cnam.fr/~thomen/papers/avila_CVIU2012_final.pdf", "http://webia.lip6.fr/~thomen/papers/avila_CVIU2012_accepted.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2012.09.007"]}, {"id": "3282ae3a0111d4ff1176c513a0c65e9351f045e4", "title": "Generating Object Segmentation Proposals Using Global and Local Search", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909706"]}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "031055c241b92d66b6984643eb9e05fd605f24e2", "title": "Multi-fold MIL Training for Weakly Supervised Object Localization", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cinbis_Multi-fold_MIL_Training_2014_CVPR_paper.pdf", "https://hal.inria.fr/hal-00975746/PDF/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909705", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.309", "http://doi.org/10.1109/CVPR.2014.309"]}, {"id": "501d004186c1ebe7da5e3a0631624e0b55ebeabb", "title": "Learning Coupled Feature Spaces for Cross-Modal Matching", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751370"]}, {"id": "e1c17b0271c12033e78662d6d7ccb56ad321992c", "title": "Interactive comment on \u201c Impact of VOCs on the formation of ozone in a central China city during severe pollution periods \u201d by Bowei", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1c1/7b0271c12033e78662d6d7ccb56ad321992c.pdf"], "doi": []}, {"id": "aa4cc6506e837390486e5b836fb3dac8d15daafa", "title": "ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Kniaz_ThermalGAN_Multimodal_Color-to-Thermal_Image_Translation_for_Person_Re-Identification_in_Multispectral_ECCVW_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-11024-6_46"]}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object Detection", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "522fab628aab972f39835521e31564b4b6c64fe5", "title": "Vehicle Classification on Low-resolution and Occluded images : A low-cost labeled dataset for augmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/522f/ab628aab972f39835521e31564b4b6c64fe5.pdf"], "doi": []}, {"id": "79267f6c2df78cca735e0bf7ed27b9f9ff263224", "title": "Instance-sensitive Fully Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08678.pdf"], "doi": []}, {"id": "2ec2f8cd6cf1a393acbc7881b8c81a78269cf5f7", "title": "Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2ec2/f8cd6cf1a393acbc7881b8c81a78269cf5f7.pdf"], "doi": []}, {"id": "851a884a89a95968c2edcad9787994ccaa8b51a8", "title": "BING: Binarized normed gradients for objectness estimation at 300fps", "year": "2018", "pdf": ["http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/2014.5.6PPT.pdf"], "doi": ["https://doi.org/10.1007/s41095-018-0120-1"]}, {"id": "f78db8e59ba354258c3eb4fff2ec67564975436f", "title": "Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09263.pdf"], "doi": []}, {"id": "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "title": "Generative Adversarial Nets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6de2/b1058c5b717878cce4e7e50d3a372cc4aaa6.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "title": "Weakly Supervised Deep Detection Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02853.pdf"], "doi": []}, {"id": "67490b6f34c827f107b046adeef0f5476132d4f8", "title": "How good are detection proposals, really?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6962.pdf"], "doi": []}, {"id": "00f8d6db6cf5c5e2a9df1604a09db06d8eb574dd", "title": "Geometric Mining: Scaling Geometric Hashing to Large Datasets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406484"]}, {"id": "33da83b54410af11d0cd18fd07c74e1a99f67e84", "title": "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.1531.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "1cf29a0131211079fc73908ecf211ee78f090ad9", "title": "Regionlets for Generic Object Detection", "year": "2013", "pdf": ["http://image-net.org/challenges/LSVRC/2013/slides/ILSVRC2013_NEC.pdf", "http://users.eecs.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201510210855/regionlets.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/Regionlets%20for%20Generic%20Object%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wang_Regionlets_for_Generic_2013_ICCV_paper.pdf", "http://www.ece.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://www.xiaoyumu.com/s//PDF/Regionlets.pdf", "http://www.xiaoyumu.com/s/PDF/Regionlets-pami.pdf", "http://www.xiaoyumu.com/s/slides/Regionlets_imagenet_web.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751111", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.10", "http://doi.org/10.1109/TPAMI.2015.2389830", "https://www.ncbi.nlm.nih.gov/pubmed/26353185", "https://www.wikidata.org/entity/Q50562532"]}, {"id": "08fe9658c086b842980e86c66bde3cef95bb6bec", "title": "Deformable part models are convolutional neural networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5403.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "title": "Focal Loss for Dense Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237586"]}, {"id": "2640a376c2b51f83420526646613e85d730eab37", "title": "Saliency Detection via Graph-Based Manifold Ranking", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251"]}, {"id": "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "title": "Fast R-CNN", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410526"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "2a94c84383ee3de5e6211d43d16e7de387f68878", "title": "Feature Pyramid Networks for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099589"]}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "35173e7bff5490a1701d02eda6f406a404111953", "title": "Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781017"]}, {"id": "cdfe4e46d949b68c682e554c402d16679fd7247c", "title": "Stacked Deconvolutional Network for Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04943.pdf"], "doi": []}, {"id": "6641cbc41ad0b4660fa48036e38535a7b6174554", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "647c6ac5e0bfee0241d583650f18c6314f28aaee", "title": "Segmentation Driven Object Detection with Fisher Vectors", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.369", "http://doi.org/10.1109/ICCV.2013.369"]}, {"id": "1cf25786f1e473fdbfcd817cfa37b0ad12806e72", "title": "Co-segmentation by Composition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751271"]}, {"id": "272216c1f097706721096669d85b2843c23fa77d", "title": "Adam: A Method for Stochastic Optimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6980.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "b9c830332608afbbf452a20afeff38ca5aac2e27", "title": "Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410477"]}, {"id": "3671d0262c502e292fa8d2333ab50b3e827dbcee", "title": "Relaxed Multiple-Instance SVM with Application to Object Discovery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410502"]}, {"id": "14b5e8ba23860f440ea83ed4770e662b2a111119", "title": "Visualizing and Understanding Convolutional Networks", "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.2901.pdf"], "doi": []}, {"id": "3bde1aae1db3577938ffe910a9de5a1f187840e9", "title": "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780684"]}, {"id": "3d1053a1021a48538fd47c9689a81888d63ff37e", "title": "Parameter Learning and Convergent Inference for Dense Random Fields", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f544/b3aeeb2b3690cb90bf568cfe92d864107c9f.pdf"], "doi": []}, {"id": "e257d1df3d9f979e37e97fe65f879a12703f80bd", "title": "Fast Image Classification by Boosting Fuzzy Classifiers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01068.pdf"], "doi": []}, {"id": "4c5a07ab1700a67afaf16fc9a7a2647f51358255", "title": "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.05484.pdf"], "doi": []}, {"id": "94c5ced03a6f896a4b3bc5a98b8b2baf349d8852", "title": "Fully Convolutional Instance-Aware Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099955"]}, {"id": "beac53e8074b4822943a3374ff5e9fed98a891b8", "title": "Generate to Adapt: Aligning Domains Using Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578985"]}, {"id": "db14833dde228b911c7a1cbf025fdd78736eb520", "title": "Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/db14/833dde228b911c7a1cbf025fdd78736eb520.pdf"], "doi": []}, {"id": "c0a0adb7f02d5509969e6107c914f7cc6e9ec881", "title": "Semantic Instance Segmentation via Deep Metric Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10277.pdf"], "doi": []}, {"id": "59c2f171f95941b5e36fc56fcbc6fa4d66b5fb55", "title": "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09246.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "0cf8443bcb14cfd6ac5bcf0e3775c0aad45558b4", "title": "CRAFT Objects from Images", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781019"]}, {"id": "3964354a123009c071d493a521cfd0edf4396e66", "title": "Instance Segmentation of Indoor Scenes Using a Coverage Loss", "year": "2014", "pdf": ["http://cs.nyu.edu/~dsontag/papers/SilSonFer_ECCV14.pdf", "http://cs.nyu.edu/~fergus/papers/silbermaneccv2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890616.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10590-1_40"]}, {"id": "51ea36ff126f8b4546e46a8876b0a644659fc2f5", "title": "Higher Order Conditional Random Fields in Deep Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08119.pdf"], "doi": []}, {"id": "faeda3ca4ff5cc11717147f85d6416f704143120", "title": "Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d1f5/2a2daaa0421ae40dec1804ff32449175f19b.pdf"], "doi": []}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "56466f99025c26a163c8f6a9d31955f090230809", "title": "STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28114002", "https://doi.org/10.1109/TPAMI.2016.2636150"]}, {"id": "f0ee079a1f40736e5b7760b38781f090744f37fc", "title": "Contextualizing Object Detection and Classification", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353205", "https://doi.org/10.1109/TPAMI.2014.2343217", "https://www.wikidata.org/entity/Q40558547"]}, {"id": "27eca38a375af431430ca458ab3c723c59328634", "title": "ATLAS: A Three-Layered Approach to Facade Parsing", "year": "2015", "pdf": ["https://varcity.ethz.ch/paper/ijcv2015_mathias_atlas.pdf"], "doi": ["https://doi.org/10.1007/s11263-015-0868-z"]}, {"id": "a93d6e82cd500663a8eea02a8e3617632aafe913", "title": "Convolutional Neural Network-based Place Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1509.pdf"], "doi": []}, {"id": "32248e2a2f103cfdfe7e6a944dc0e4373e95d7b8", "title": "Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909578"]}, {"id": "408e8eecc14c5cc60bbdfc486ba7a7fc97031788", "title": "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/408e/8eecc14c5cc60bbdfc486ba7a7fc97031788.pdf"], "doi": []}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "title": "The Visual Object Tracking VOT2015 Challenge Results", "year": "2015", "pdf": ["http://cell.missouri.edu/media/publications/Matej-KristanRengarajan_VOT2015-challenge-results_ICCVW-2015.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/Kristan2013The.pdf", "http://data.votchallenge.net/vot2015/presentations/vot_2015_paper.pdf", "http://liris.cnrs.fr/Documents/Liris-6875.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w14/papers/Kristan_The_Visual_Object_ICCV_2015_paper.pdf", "http://www.epics-project.eu/publications/2013_kristan_iccvw.pdf", "http://www.epics-project.eu/publications/2014_kristan_iccvw.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674992/visual_kristan_ICCVW_2015_ps.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406428", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.79", "http://doi.org/10.1109/ICCVW.2015.79", "https://hal.archives-ouvertes.fr/hal-01336773/document"]}, {"id": "a1bcdb820f6f0dde108996a18eefb239ef0e9566", "title": "Visual Tracking: An Experimental Survey.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://doi.org/10.1109/TPAMI.2013.230"]}, {"id": "1af794673d64112edf60f071ca24066e6a227d2b", "title": "Online Object Tracking: A Benchmark", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619156"]}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "2822a883d149956934a20614d6934c6ddaac6857", "title": "A survey of appearance models in visual object tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4803.pdf"], "doi": []}, {"id": "f727837e03a039d9bcec6d02cd87256f5a5854a4", "title": "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03409.pdf"], "doi": []}, {"id": "ebe5a4c2dc3ca55a5aeedcd25a98ca6e446ce9cc", "title": "Hippocampal Activity Patterns Carry Information about Objects in Temporal Context", "year": "2014", "pdf": ["http://cogns.northwestern.edu/cbmg/pdfs/2.Hsieh_2014.pdf", "http://dml.ucdavis.edu/uploads/6/1/9/7/61974117/hseih_2014_hippocampal.pdf", "http://orca.cf.ac.uk/96034/7/Hsieh_NEURON-D-13-01629.1.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627314000208", "https://doi.org/10.1016/j.neuron.2014.01.015", "https://www.ncbi.nlm.nih.gov/pubmed/24607234"]}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050", "http://doi.org/10.1109/TPAMI.2014.2388226", "https://www.ncbi.nlm.nih.gov/pubmed/26353130", "https://www.wikidata.org/entity/Q35768210"]}, {"id": "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "title": "Hierarchical Convolutional Features for Visual Tracking", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~jbhuang/poster/ICCV_2015_HCF_Poster.pdf", "https://filebox.ece.vt.edu/~jbhuang/slides/ICCV_2015_HCF_Slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410709", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.352", "http://doi.org/10.1109/ICCV.2015.352"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "05375a7489f0a84d47a316bacb4d86e8a7bda0df", "title": "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751224"]}, {"id": "58e6eaacaab3fbf9b307a8aec1c614027ff501ce", "title": "Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition", "year": "2012", "pdf": ["http://109.101.234.42/documente/publications/19-62.pdf", "http://sminchisescu.ins.uni-bonn.de/papers/ms12eccv.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w09-levent.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_60"]}, {"id": "36c91b1342c1357877e89b4c43f8eadb39755c0b", "title": "Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses", "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/YaoFei-Fei_PAMI2012.pdf", "http://cs.stanford.edu/groups/vision/pdf/yaopami12.pdf", "http://vision.stanford.edu/pdf/yaopami12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165303", "http://doi.org/10.1109/TPAMI.2012.67", "https://www.ncbi.nlm.nih.gov/pubmed/22392710", "https://www.wikidata.org/entity/Q34185448"]}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "0da75bded3ae15e255f5bd376960cfeffa173b4e", "title": "The Role of Context for Object Detection and Semantic Segmentation in the Wild", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909514"]}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "title": "Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2353/17b7ce64b4b3aefe57c1304e8157a4832d2c.pdf"], "doi": []}, {"id": "18e39b6f8f5c538d639bc0b46136ed93b5e3ef35", "title": "A Large Dataset of Object Scans", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02481.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "b31d6f201340ecec35bbe0f477710436f860605e", "title": "Learning Video Object Segmentation with Visual Memory", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237742"]}, {"id": "0558c94a094158ecd64f0d5014d3d9668054fb97", "title": "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/528d/141aba97074977a332bb2d96364b716f246c.pdf"], "doi": []}, {"id": "09a503095db2d68b439e48d67481399198ed0e5b", "title": "Recurrent Models of Visual Attention", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6247.pdf"], "doi": []}, {"id": "350d507f5d899e4d7293b1aa951aa0f81b9fd30a", "title": "The Visual Object Tracking VOT2017 Challenge Results", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265440", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.230", "http://doi.org/10.1109/ICCVW.2017.230"]}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "7e232313a59d735ef7c8a9f4cc7bc980a29deb5e", "title": "Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1116-0"]}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2ce63d77eecc35faef85a3b752a314c93a077ac9", "title": "Learning Multi-domain Convolutional Neural Networks for Visual Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780834"]}, {"id": "1c66fa1f3f189ca25bd657f53d77fde64c75f3da", "title": "Adaptive Color Attributes for Real-Time Visual Tracking", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909539"]}, {"id": "eb66303192a89c314ce4acae640ba700fa3293a3", "title": "Unsupervised Object Annotation through Context Analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb66/303192a89c314ce4acae640ba700fa3293a3.pdf"], "doi": []}, {"id": "079ed21601974d0604544a6d816c2f51b5c039b8", "title": "Enriching Visual Knowledge Bases via Object Discovery and Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909658"]}, {"id": "7574b7e5a75fdd338c27af5aeb77ab79460c4437", "title": "Learning Dynamic Siamese Network for Visual Object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458"]}, {"id": "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "title": "Object Bank: An Object-Level Image Representation for High-Level Visual Recognition", "year": "2013", "pdf": ["http://cs.stanford.edu/groups/vision/pdf/li_ijcv2013.pdf", "http://vision.stanford.edu/pdf/li_ijcv2013.pdf", "http://www.tpbin.com/Uploads/Subjects/79181d36-c45c-4f6c-821f-b7f9fcac3881.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0660-x"]}, {"id": "5527dd901b836e2f164c9fa3e62f57cd70c21745", "title": "3D object retrieval via range image queries in a bag-of-visual-words context", "year": "2013", "pdf": ["http://graphics.di.uoa.gr/Downloads/papers/journals/p43.pdf", "http://www.idi.ntnu.no/grupper/vis/wp-content/uploads/2013/09/Range3DRetrievalTVCfinal.pdf"], "doi": ["https://doi.org/10.1007/s00371-013-0876-3"]}, {"id": "5ea8a9ae2bf40c4722e618b732f769744ab57dfe", "title": "Context Driven Scene Parsing with Attention to Rare Classes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909817"]}, {"id": "2d84f49572c2b29b6c9e1818eb57e7f12bc4236e", "title": "Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751322"]}, {"id": "00319cd17cebae5e1095a248260bd7be15781362", "title": "A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01277.pdf"], "doi": []}, {"id": "0f060f011fe3093a24bf2cde96a4a833f58ec5a5", "title": "Object-based visual query suggestion", "year": "2012", "pdf": ["https://www.researchgate.net/profile/Pierre_Letessier/publication/257627352_Object-based_visual_query_suggestion/links/00b7d5260034959679000000.pdf"], "doi": ["https://doi.org/10.1007/s11042-012-1340-5"]}, {"id": "33baa52f583fb049f473a53d8e0ca5ac8e7abbf2", "title": "Reinforcement Learning for Visual Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780685"]}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "year": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "1631bc8b8fe853278b8e54bd3e9fff1445fa9f91", "title": "Visual Distance Measures for Object Retrieval", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411668"]}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "4a8e9e179b58d3e10448f5e4680b66f34c8bc573", "title": "Learning to segment moving objects in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299035"]}, {"id": "0f6a8e9139cdd15fd0a8a292204aed21a8b51c5a", "title": "ReferItGame: Referring to Objects in Photographs of Natural Scenes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f6a/8e9139cdd15fd0a8a292204aed21a8b51c5a.pdf"], "doi": []}, {"id": "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "title": "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780807"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "efa08283656714911acff2d5022f26904e451113", "title": "Active Object Localization in Visual Situations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00548.pdf"], "doi": []}, {"id": "1f7127b9ae86d7fac305c6b824801e455e82f511", "title": "Visual relationship detection with object spatial distribution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019448", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019448", "http://doi.org/10.1109/ICME.2017.8019448"]}, {"id": "051830b0ea58d1568f19ec3297e301d9789c9a76", "title": "Bringing Semantics into Focus Using Visual Abstraction", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes.pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes_rob.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d009.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ZitnickParikh_CVPR_2013_clipart.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619231", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.387", "http://doi.org/10.1109/CVPR.2013.387"]}, {"id": "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "title": "ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7433003"]}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "9a8e61cc9a95efe9e35df4d4230c7b8a655b7392", "title": "Unsupervised Joint Object Discovery and Segmentation in Internet Images", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619097"]}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "022027ce7475029f78fb3cdb758d947a8978ab5c", "title": "Invariant visual object recognition: biologically plausible approaches", "year": "2015", "pdf": ["http://wrap.warwick.ac.uk/77413/1/WRAP_422_2015_Article_658.pdf", "http://www.oxcns.org/papers/554%20Robinson%20Rolls%202015%20Invariant%20visual%20object%20recognition%20Biologically%20plausible%20models.pdf"], "doi": ["https://doi.org/10.1007/s00422-015-0658-2", "https://www.ncbi.nlm.nih.gov/pubmed/26335743", "https://www.wikidata.org/entity/Q43248757"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/Semantic-Technologies/paper/amr2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-12093-5_4"]}, {"id": "bbe7f4217a9bd9c6d3826b5b62d59d183e729383", "title": "Discriminative Hough context model for object detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0780-x"]}, {"id": "55ca9fe4ae98904bfe026d22dcf1420ff9c0dd86", "title": "Dataset for Visual Reasoning", "year": "2017", "pdf": [], "doi": []}, {"id": "20f9a09defe5b02b98c464ca6df36b3b6358f60b", "title": "The State-of-the-Art in Visual Object Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cd46/4a309fa1736e1373f0bb06baf75e3d0abcac.pdf"], "doi": []}, {"id": "d86fabd4498c8feaed80ec342d254fb877fb92f5", "title": "Region-Object Relevance-Guided Visual Relationship Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d86f/abd4498c8feaed80ec342d254fb877fb92f5.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "4405b44b5597787c42abeca6d0b3172175557b7b", "title": "Object discovery in 3D scenes via shape analysis", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630857"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "8da0771e47c32405c4877cedce3ff84ac7390646", "title": "A survey of datasets for visual tracking", "year": "2015", "pdf": ["http://www.isir.upmc.fr/files/2015ACLI3545.pdf"], "doi": ["https://doi.org/10.1007/s00138-015-0713-y", "http://hal.upmc.fr/hal-01217152/document"]}, {"id": "4a75c3441cef2069458fe61a01196c2c8b32ee92", "title": "Single-trial classification of EEG in a visual object task using ICA and machine learning", "year": "2014", "pdf": ["https://www.research.ed.ac.uk/portal/files/14632594/Stewart.JNeurosciMeth.228.2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027014000752", "https://doi.org/10.1016/j.jneumeth.2014.02.014", "https://www.ncbi.nlm.nih.gov/pubmed/24613798"]}, {"id": "1456f147381bf7c385225d854c2fb48c19eca285", "title": "LCAV-31: a dataset for light field object recognition", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/197737/files/902014.pdf"], "doi": ["http://doi.org/10.1117/12.2041097"]}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "d7ed761cfe1b71aa7e4d08c355fcab131558f8c8", "title": "Learning Object Models on a Robot using Visual Context and Appearance Cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d7ed/761cfe1b71aa7e4d08c355fcab131558f8c8.pdf"], "doi": []}, {"id": "d53c79cce46820642f2d4e0f0dac9b31d1201f24", "title": "Visual object trapping", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.cviu.2016.07.007"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "title": "The Cityscapes Dataset", "year": "2015", "pdf": [], "doi": []}, {"id": "14ca963b4e0b87fc7213b8e3a3e2371cee7ffad6", "title": "Exploring Causal Relationships in Visual Object Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410708"]}, {"id": "f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": "b0cd469a06fb2eae3a5cc0c860aa592f71b13f6d", "title": "IQA: Visual Question Answering in Interactive Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578528"]}]} \ No newline at end of file +{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "citations": [{"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "6b6fcf1220ea100aa80004018c78b137289d3c50", "title": "CAD: Scale Invariant Framework for Real-Time Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265304"]}, {"id": "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "title": "Supervised Learning Approaches for Automatic Structuring of Videos. (M\u00e9thodes d'apprentissage supervis\u00e9 pour la structuration automatique de vid\u00e9os)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/656f/05741c402ba43bb1b9a58bcc5f7ce2403d9a.pdf"], "doi": []}, {"id": "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "title": "Chained Cascade Network for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237476"]}, {"id": "e58434a01c45505995b000f5e631843a2f2ea582", "title": "Scale coding bag of deep features for human attribute and action recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04884.pdf"], "doi": []}, {"id": "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "title": "Visual dictionaries as intermediate features in the human brain", "year": "2014", "pdf": ["http://journal-cdn.frontiersin.org/article/104962/files/pubmed-zip/versions/1/pdf", "http://journal.frontiersin.org/article/10.3389/fncom.2014.00168/pdf", "https://pure.uva.nl/ws/files/2455021/162945_fncom_08_00168.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25642183", "http://doi.org/10.3389/fncom.2014.00168", "https://www.wikidata.org/entity/Q34969835"]}, {"id": "4c5d723dd83250c6b289c94318717de2d373a6ed", "title": "Learning Image Classification and Retrieval Models", "year": "2012", "pdf": [], "doi": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "title": "Derivate-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01906.pdf"], "doi": []}, {"id": "a221588fd2d062462254481cfd9563fec2f7c387", "title": "Deep neural network ensemble architecture for eye movements classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8345537"]}, {"id": "67126ad0af544740c455311d08cb180aec830a6c", "title": "Generating Descriptions of Spatial Relations between Objects in Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6712/6ad0af544740c455311d08cb180aec830a6c.pdf"], "doi": []}, {"id": "823db813f036365cf9b22b2081ec167a2b582532", "title": "Segmentation and Shape Extraction from Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354273", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00169", "http://doi.org/10.1109/WACV.2018.00169", "http://www.grk1564.uni-siegen.de/publicationPDFbyID?ID=926"]}, {"id": "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "title": "Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention 1 : 3", "year": "2017", "pdf": [], "doi": []}, {"id": "2c9c597ab660815e07980e9655c3c5989402205b", "title": "Vision-Based Reacquisition for Task-Level Control", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c9c/597ab660815e07980e9655c3c5989402205b.pdf"], "doi": []}, {"id": "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "title": "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00248.pdf"], "doi": []}, {"id": "ff18125a8f549135e6320fed91d0002bd2dae635", "title": "Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06300.pdf"], "doi": []}, {"id": "3e50e351687779c05390daf117f0394d1556cd3c", "title": "Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e50/e351687779c05390daf117f0394d1556cd3c.pdf"], "doi": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"], "doi": []}, {"id": "4ba503d8f173880d8e8402808f54b78b653e5d20", "title": "Accelerating Stochastic Gradient Descent via Online Learning to Sample", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4ba5/03d8f173880d8e8402808f54b78b653e5d20.pdf"], "doi": []}, {"id": "03a2235fea70317461222fac05e38ee35ead9711", "title": "Implementation of a Computer Vision Algorithm for Onboard Detection of Unmanned Aircraft submitted by Luk\u00e1\u0161 Bauer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03a2/235fea70317461222fac05e38ee35ead9711.pdf"], "doi": []}, {"id": "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "title": "Deep learning for text spotting", "year": "2015", "pdf": [], "doi": []}, {"id": "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "title": "Tracking-by-Segmentation with Online Gradient Boosting Decision Tree", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410707", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.350", "http://doi.org/10.1109/ICCV.2015.350"]}, {"id": "4896c9f6958137c88db29a3a707aafae3c29d106", "title": "Discriminative Re-ranking of Diverse Segmentations", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619095"]}, {"id": "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "title": "Object Discovery via Cohesion Measurement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.08944.pdf"], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "title": "An Object Detector Trained on Line Drawings", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/369b/d35ab8bad4c7bc5e376cc776a5366d97b12e.pdf"], "doi": []}, {"id": "46971fb6caa61c606b046da855be4e196a830ccf", "title": "Identification of Scene Text by Character Descriptor in Smart Mobile Devices", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4697/1fb6caa61c606b046da855be4e196a830ccf.pdf"], "doi": []}, {"id": "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "title": "Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08011.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "cf384eda31030a45238ebd8356ace7600da5076b", "title": "Cross-Domain CNN for Hyperspectral Image Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00093.pdf"], "doi": []}, {"id": "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "title": "Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-ijcv14.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-ijcv14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0778-5"]}, {"id": "83acbf0bee402b0472ff101cee5942f4137d91c3", "title": "Semi-automatic Annotation on Image Segmentation Hierarchies", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/83ac/bf0bee402b0472ff101cee5942f4137d91c3.pdf"], "doi": []}, {"id": "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "title": "Automatic thresholding of SIFT descriptors", "year": "2016", "pdf": ["https://arxiv.org/pdf/1811.03173.pdf"], "doi": []}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": [], "doi": []}, {"id": "1a5151b4205ab27b1c76f98964debbfc11b124d5", "title": "Self Paced Deep Learning for Weakly Supervised Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07651.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"], "doi": []}, {"id": "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "title": "Instance-level video segmentation from object tracks Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/e4dc/24e4926df4de3e8d7ca7cd1f4115e91f03e1.pdf"], "doi": []}, {"id": "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00123.pdf"], "doi": []}, {"id": "9d67f5adf4497ba99201d318cfbbed07e926c05b", "title": "Unseen Object Segmentation in Videos via Transferable Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02444.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "806aea24148fc2ef851803c216a0a25894d78bf4", "title": "Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294481", "http://doi.org/10.1109/I4CS.2015.7294481"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4817/826f1af10e0c31dee067f8d9255d6387d486.pdf"], "doi": []}, {"id": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"], "doi": []}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", "https://vlg.dgist.ac.kr/research/pose_emb/data/CVPR2016_pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780903", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.534", "http://doi.org/10.1109/CVPR.2016.534"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"], "doi": []}, {"id": "071680ca97de050a372ea79f2b99f102bb3ca6ef", "title": "Inferring Unseen Views of People", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-paper.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-poster.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/supp.pdf", "http://www.cs.utexas.edu/~chaoyeh/cvpr_2014_Inferring_Unseen_Views_of_People%20(2).pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-pose-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909655", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.258", "http://doi.org/10.1109/CVPR.2014.258"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.40", "http://doi.org/10.1109/ICCV.2015.40"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"], "doi": []}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.04.004"]}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "title": "Superpixel Hierarchy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.06325.pdf"], "doi": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", "pdf": ["http://cvlab.postech.ac.kr/~tgx.lim/paper/iccv2013_semantic.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W08/papers/Baek_Superpixel_Coherency_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755909"]}, {"id": "73818ae13a89c2377c30cdb029fdb7e490fe5367", "title": "Joint cost minimization for multi-object tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078481", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078481", "http://doi.org/10.1109/AVSS.2017.8078481"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"], "doi": []}, {"id": "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "title": "Automatic foreground extraction via joint CRF and online learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"], "doi": []}, {"id": "c5632e2117d268159225d5c307b7efbb6428ccba", "title": "Understanding image concepts using ISTOP model", "year": "2016", "pdf": ["http://www.cs.uu.nl/groups/MG/multimedia/publications/art/PR2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.010"]}, {"id": "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "title": "Conditional Entropies as Over-Segmentation and Under-Segmentation Metrics for Multi-Part Image Segmentation", "year": "2011", "pdf": [], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"], "doi": []}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"], "doi": ["https://doi.org/10.1007/s11042-018-5883-y"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"], "doi": []}, {"id": "5020a75c45416073d0b07b1deb7382bc80de1779", "title": "Human Detection Using Learned Part Alphabet and Pose Dictionary", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf", "http://mc.eistar.net/UpLoadFiles/Papers/%5B38%5D%202014%20ECCV%20Yaocong.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930251.pdf", "https://cis.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_17"]}, {"id": "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "title": "Object cosegmentation using deep Siamese network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02555.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "title": "Robust object detection under partial occlusion", "year": "2016", "pdf": [], "doi": []}, {"id": "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "title": "Trained 3D Models for CNN based Object Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/49f2/76e1b8fd162ac3cd996becc63cab2b2535b7.pdf"], "doi": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784137", "http://doi.org/10.1109/TPAMI.2014.2315814", "https://www.ncbi.nlm.nih.gov/pubmed/26352638", "https://www.wikidata.org/entity/Q38404154"]}, {"id": "efe133717899b41cd4c0b0c999da312d3af60a6e", "title": "Depth-Based Hand Pose Estimation: Methods, Data, and Challenges", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.06378.pdf"], "doi": []}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2013.10.005", "http://t2r2.star.titech.ac.jp/rrws/file/CTT100664441/ATD100000413/"]}, {"id": "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "title": "Instance-Level Video Segmentation from Object Tracks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/seguin2016.pdf", "http://www.di.ens.fr/willow/research/instancelevel/seguin16instancelevel.pdf", "http://www.di.ens.fr/~bojanowski/papers/seguin16instance.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780769", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.400", "http://doi.org/10.1109/CVPR.2016.400"]}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "a5683661e80668e05170bf17bcbd754d1b07af74", "title": "Comparison of Data Set Bias in Object Recognition Benchmarks", "year": "2015", "pdf": ["http://vfacstaff.ltu.edu/lshamir/publications/object_recognition_dataset_bias.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299607", "http://doi.org/10.1109/ACCESS.2015.2491921"]}, {"id": "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578136"]}, {"id": "575a0e97702edcb0621a47b574949bac50e34200", "title": "Unsupervised Learning by Predicting Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05310.pdf"], "doi": []}, {"id": "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "title": "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04984.pdf"], "doi": []}, {"id": "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"], "doi": []}, {"id": "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "title": "Action recognition in still images using a combination of human pose and context information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466977", "http://doi.org/10.1109/ICIP.2012.6466977"]}, {"id": "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "title": "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06301.pdf"], "doi": []}, {"id": "90e36f66c25a4c73a252102c6c6c329c36d82676", "title": "Probably Unknown: Deep Inverse Sensor Modelling In Radar", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08151.pdf"], "doi": []}, {"id": "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "title": "A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb71/0e9d897b7c1fd5275a0bcfa22711c5768990.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.056"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "title": "A Method to Detect Boats in Images of the Amazonian Rivers", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8247064", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2017.73", "http://doi.org/10.1109/BRACIS.2017.73"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597593", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.345", "http://doi.org/10.1109/ICPR.2010.345"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"], "doi": []}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"], "doi": []}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04702.pdf"], "doi": []}, {"id": "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "title": "From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227436", "http://doi.org/10.1109/DICTA.2017.8227436"]}, {"id": "659fc2a483a97dafb8fb110d08369652bbb759f9", "title": "Improving the Fisher Kernel for Large-Scale Image Classification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/659f/c2a483a97dafb8fb110d08369652bbb759f9.pdf"], "doi": []}, {"id": "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "title": "Online Object Tracking, Learning and Parsing with And-Or Graphs", "year": "2014", "pdf": ["https://arxiv.org/pdf/1509.08067.pdf"], "doi": []}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"], "doi": []}, {"id": "43fe9006b90137d6ce85a539685ce66c13f0e38e", "title": "A review of image-based automatic facial landmark identification techniques", "year": "", "pdf": ["https://pdfs.semanticscholar.org/43fe/9006b90137d6ce85a539685ce66c13f0e38e.pdf"], "doi": []}, {"id": "642772c38ff690d17a3ce84a1d8646aefc802139", "title": "VIDEO OBJECT TRACKING BASED ON AUTOMATIC BACKGROUND SEGMENTATION : A SURVEY", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6427/72c38ff690d17a3ce84a1d8646aefc802139.pdf"], "doi": []}, {"id": "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "title": "Scene understanding with complete scenes and structured representations", "year": "2014", "pdf": [], "doi": []}, {"id": "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "title": "Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance", "year": "2013", "pdf": ["https://arxiv.org/pdf/1306.4746.pdf"], "doi": []}, {"id": "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "title": "Object Detection for Crime Scene Evidence Analysis Using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6926/4f28158f9245a06f7a2c1ae666241261cc0e.pdf"], "doi": []}, {"id": "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "title": "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354202"]}, {"id": "9b6538d09e914c41345812b3086feff1dc1ae218", "title": "Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08937.pdf"], "doi": []}, {"id": "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "title": "Representations and Similarities of Images for Visual Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf41/7e1c265b31720b4fb980afb83cc3a573fa6f.pdf"], "doi": []}, {"id": "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "title": "Aalborg Universitet Detection of U . S . Traffic", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6e53/63af2bfb7d1b2bd13feb41c2688bd0cf12b3.pdf"], "doi": []}, {"id": "878169be6e2c87df2d8a1266e9e37de63b524ae7", "title": "Image interpretation above and below the object level.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8781/69be6e2c87df2d8a1266e9e37de63b524ae7.pdf"], "doi": []}, {"id": "3daafe6389d877fe15d8823cdf5ac15fd919676f", "title": "Human Action Localization with Sparse Spatial Supervision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05197.pdf"], "doi": []}, {"id": "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "title": "Discriminative Segment Annotation in Weakly Labeled Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619165"]}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619254", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.410", "http://doi.org/10.1109/CVPR.2013.410"]}, {"id": "9434524669777d281a8a7358f20181c9e157942e", "title": "VSEM: An open library for visual semantics representation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9434/524669777d281a8a7358f20181c9e157942e.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "4d910c5ab0b70ddbef6be944077ed63821608135", "title": "On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d91/0c5ab0b70ddbef6be944077ed63821608135.pdf"], "doi": []}, {"id": "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "title": "Describing Video Contents in Natural Language", "year": "2012", "pdf": [], "doi": []}, {"id": "07764e1607d9e3d8094455adb658077996eb38c4", "title": "End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07201.pdf"], "doi": []}, {"id": "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "title": "Adaptive NormalHedge for robust visual tracking", "year": "2015", "pdf": ["https://core.ac.uk/download/pdf/33581176.pdf", "https://pure.qub.ac.uk/portal/files/13941301/main_huiyu.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2014.08.027"]}, {"id": "b961009dedea99f948650df7291a28f18bbfc1dc", "title": "Towards Automated Visual Monitoring of Individual Gorillas in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265544"]}, {"id": "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "title": "A Flexible Object-of-Interest Annotation Framework for Online Video Portals", "year": "2012", "pdf": ["http://www.mdpi.com/1999-5903/4/1/179/pdf"], "doi": ["https://doi.org/10.3390/fi4010179"]}, {"id": "d4f454b24a7901dea14858808bbe277c7bee8ffb", "title": "Edge-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": [], "doi": []}, {"id": "6768b558cc58e113096540c123ef3b2c2d2469a1", "title": "Maximum Margin Linear Classifiers in Unions of Subspaces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1a06/e518bf15015153b4973bb2e9e06e51485a4c.pdf"], "doi": []}, {"id": "ba6c19771926564e89be4ace7c33dc3da580249e", "title": "Utilisation du contexte pour l'indexation s\u00e9mantique des images et vid\u00e9os. (Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265469"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801548", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.58", "http://doi.org/10.1109/CRV.2016.58"]}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709034"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": ["http://doi.org/10.1016/j.asoc.2017.08.005"]}, {"id": "ad52d047a44f20416f9dd6655cef54169d481454", "title": "Perceptual modeling in the problem of active object recognition in visual scenes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.007"]}, {"id": "e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"], "doi": []}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0646-8"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751336"]}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.12", "http://doi.org/10.1109/CVPR.2013.12"]}, {"id": "70b420850e16ec2afe42d5c0006742d9045b3e7f", "title": "If You Can't Beat Them, Join Them: Learning with Noisy Data", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806231"]}, {"id": "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578788", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00690", "http://doi.org/10.1109/CVPR.2018.00690"]}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "8ff6294535acf46abf523b879f20685de0692a8c", "title": "Bayes Risk for Large Scale Hierarchical Top-K Image Classification", "year": "2013", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/153936/eth-6877-01.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.3929/ethz-a-009767867"]}, {"id": "d97224063697392f073e467005e89973d2be7d65", "title": "Recherche de motifs fr\u00e9quents dans une base de cartes combinatoires. (Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"], "doi": []}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"], "doi": []}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909874", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.479", "http://doi.org/10.1109/CVPR.2014.479"]}, {"id": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"], "doi": []}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"], "doi": []}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372146", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.50", "http://doi.org/10.1109/ICTAI.2015.50"]}, {"id": "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"], "doi": []}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "6a405e7284ff7e2127a241d60646b4abd3da92f2", "title": "Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "c0e551acb063c9cd73dea28ab8963f850b6f1148", "title": "A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e5/51acb063c9cd73dea28ab8963f850b6f1148.pdf"], "doi": []}, {"id": "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "title": "WEAKLY SUPERVISED SEMANTIC SEGMENTATION 3 priors can give good pixel labelling results", "year": "2017", "pdf": [], "doi": []}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "title": "DOC: DEEP OCCLUSION ESTIMATION FROM A SIN-", "year": "2016", "pdf": [], "doi": []}, {"id": "c6c691b772822881c5c52b779100928f0d54fdd7", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"], "doi": []}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "13e424d502bf539108ad6f5cc877cfb1255dbee0", "title": "Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045914"]}, {"id": "1dbd7653ede6af15d539f64cb2128752ca029e44", "title": "Hollywood 3D: Recognizing Actions in 3D Natural Scenes", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619280"]}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "title": "The Recognition of License Plate Restrictions Based on Faster R-CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b3e/e5455956a40c6e9e09ccda0f4fb162838629.pdf"], "doi": []}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"], "doi": []}, {"id": "4a31b3fcc346bf3235efe1c0fb310833570cef27", "title": "Learning Intelligent Dialogs for Bounding Box Annotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579054"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05600.pdf"], "doi": []}, {"id": "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "title": "Sketch Me That Shoe", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/hsiao_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "https://www.eecs.qmul.ac.uk/~qian/SketchMeThatShoe.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780462", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93", "http://doi.org/10.1109/CVPR.2016.93"]}, {"id": "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "title": "Monocular Road Terrain Detection by Combining Visual and Spatial Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73b1/10df4809d0a015f90fa6e7a7dce351bcc52e.pdf", "https://www.researchgate.net/profile/Jannik_Fritsch/publication/261073577_Monocular_Road_Terrain_Detection_by_Combining_Visual_and_Spatial_Information/links/5475ef240cf29afed612e5a8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766705", "http://doi.org/10.1109/TITS.2014.2303899"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083681", "http://doi.org/10.1109/MCI.2015.2405317"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"], "doi": []}, {"id": "22cf367d14e646914cc959bbcd402df0c20cd0dc", "title": "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04024.pdf"], "doi": []}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"], "doi": ["http://doi.org/10.1186/s13640-018-0247-0"]}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.cag.2017.07.023"]}, {"id": "c56da136b8d62125009a131f6dc21fcd0dd6a559", "title": "ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT)", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270166", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.235", "http://doi.org/10.1109/ICDAR.2017.235"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "title": "Segmentation Results Stimuli Final Saliency Map Ground Truth Constructed Graph CCA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/32be/be84ffbd4fd81f0e5bb30dbc90774aa3b14b.pdf"], "doi": []}, {"id": "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "title": "A learning framework for higher-order consistency models in multi-class pixel labeling problems", "year": "2014", "pdf": [], "doi": []}, {"id": "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "title": "Detecting activities of daily living in first-person camera views", "year": "2012", "pdf": ["http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_poster.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_slides.pdf", "http://vision.ics.uci.edu/papers/PirsiavashR_CVPR_2012_1/PirsiavashR_CVPR_2012_1.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w06-cagdas.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/dinesh-expt.pdf", "http://www.ics.uci.edu/~dramanan/papers/ADL_2012.pdf", "https://www.cs.cmu.edu/~deva/papers/ADL_2012.pdf", "https://www.csee.umbc.edu/~hpirsiav/papers/adl_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248010", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248010", "http://doi.org/10.1109/CVPR.2012.6248010"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100001", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.518", "http://doi.org/10.1109/CVPR.2017.518"]}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "2a2232f2972191a0606d588aa4f13c9f27d1972d", "title": "InstanceCut: From Edges to Instances with MultiCut", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08272.pdf"], "doi": []}, {"id": "029cabb6f3f6a824590e735feb1d8557646db8a6", "title": "One-Bit Object Detection: On learning to localize objects with minimal supervision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.1024.pdf"], "doi": []}, {"id": "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "title": "Deep Learning for People Detection on Beach Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575616", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00045", "http://doi.org/10.1109/BRACIS.2018.00045"]}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"], "doi": []}, {"id": "03fd6774f57aaed9320060e4527121c59e9eca2b", "title": "Intrinsic spatial pyramid matching for deformable 3D shape retrieval", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-013-0041-9"]}, {"id": "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "title": "Fast Neural Cell Detection Using Light-Weight SSD Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Yi_Fast_Neural_Cell_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014853", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.119", "http://doi.org/10.1109/CVPRW.2017.119"]}, {"id": "c8ba499e8d8daa32637885f03137f41d61023bf9", "title": "Weak supervision for detecting object classes from activities", "year": "2017", "pdf": ["https://ps.is.tue.mpg.de/uploads_file/attachment/attachment/296/weak_supervision_object_detection.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.006"]}, {"id": "cd1a636c1261208084cb8395c877c7ca22c76df1", "title": "Fast Deep Vehicle Detection in Aerial Images", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926624.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926624", "http://doi.org/10.1109/WACV.2017.41"]}, {"id": "101c7305f141145c4d168dfa40284e0ad86a0d9b", "title": "Active Object Localization with Deep Reinforcement Learning", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410643"]}, {"id": "48922520e6de0954a83f26977b2b50b7fbfdcf61", "title": "A survey of sketch-based image retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0953-8"]}, {"id": "c37fe13f94dfc2f3494a35a63336689ce4392135", "title": "MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365094", "http://doi.org/10.1109/ACCESS.2018.2836921"]}, {"id": "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751204", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.99", "http://doi.org/10.1109/ICCV.2013.99"]}, {"id": "e8ffef3d4d74720e766e506e175e533bdc8ee705", "title": "Object Detection Networks on Convolutional Feature Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1504.06066.pdf"], "doi": []}, {"id": "1daf971c087f5e21dbae831231377cbe9bb2f188", "title": "Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619272"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0388"]}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"], "doi": []}, {"id": "d9dafc343727db2b6060c868d748f97eff6bac7d", "title": "Improved pedestrian detection using motion segmentation and silhouette orientation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4933-1"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38628-2_34"]}, {"id": "99df9e95b3f3d187636918a65277baf7c98cbfc5", "title": "An efficient subsequence search for video anomaly detection and localization", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2453-4", "https://www.wikidata.org/entity/Q56907428"]}, {"id": "832246357de85108cb910e773c203997448c570a", "title": "Recurrently Target-Attending Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780530"]}, {"id": "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "title": "Joint Object-Material Category Segmentation from Audio-Visual Cues", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02220.pdf"], "doi": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"], "doi": []}, {"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406400", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.51", "http://doi.org/10.1109/ICCVW.2015.51"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.06.009"]}, {"id": "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "title": "Square Localization for Efficient and Accurate Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410651"]}, {"id": "bf3aae7293f664d512c0904916d804327af22f52", "title": "STDnet: A ConvNet for Small Target Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf3a/ae7293f664d512c0904916d804327af22f52.pdf"], "doi": []}, {"id": "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "title": "Instance Segmentation by Deep Coloring", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10007.pdf"], "doi": []}, {"id": "0de46e6768acaa71745406d646573644b975dc62", "title": "Scene-Domain Active Part Models for Object Representation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410644"]}, {"id": "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "title": "Bottom-up Object Detection by Grouping Extreme and Center Points", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08043.pdf"], "doi": []}, {"id": "1d7029a974f950de61f3980704956b43f1a06e7b", "title": "Efficient Optimization for Rank-Based Loss Functions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578487"]}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "title": "A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9c43/65a56fb3cf41b15712657b15f7422ca0dab2.pdf"], "doi": []}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": [], "doi": []}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"], "doi": []}, {"id": "084bd219dd239dc4c9a02621a5333d3bc1446566", "title": "DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.00072.pdf"], "doi": []}, {"id": "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "title": "Interactive Perception: Leveraging Action in Perception and Perception in Action", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03670.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592805"]}, {"id": "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "title": "Fine-grained recognition of plants from images", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0265-4?site=plantmethods.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13007-017-0265-4", "https://www.ncbi.nlm.nih.gov/pubmed/29299049"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"], "doi": []}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "2114b25727a21275e88e30dad0423752f6047dae", "title": "Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cac0/c534e02784a3a873690d213dd8c92b81992f.pdf"], "doi": []}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"], "doi": []}, {"id": "b7efecec654acd8831d045e728b54356c697c9c8", "title": "Learning Semantic Segmentation with Diverse Supervision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354268"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"], "doi": []}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"], "doi": []}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100113", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.630", "http://doi.org/10.1109/CVPR.2017.630"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"], "doi": []}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751448", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.337", "http://doi.org/10.1109/ICCV.2013.337"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.056"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137235", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2011.79", "http://doi.org/10.1109/ICDM.2011.79"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2013.0124"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751156", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.54", "http://doi.org/10.1109/ICCV.2013.54"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"], "doi": []}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"], "doi": []}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270075", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.144", "http://doi.org/10.1109/ICDAR.2017.144"]}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"], "doi": []}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410688"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.032"]}, {"id": "05db46c7745c360fa5938ee204c81efdcc84c1da", "title": "An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06795.pdf"], "doi": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909618"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797075", "http://doi.org/10.1109/DICTA.2016.7797075"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.395", "http://doi.org/10.1109/CVPR.2016.395"]}, {"id": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578834"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"], "doi": []}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"], "doi": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"], "doi": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"], "doi": []}, {"id": "115e8a4f76a57b893c985ea4f7530b90d071679c", "title": "FSSD: Feature Fusion Single Shot Multibox Detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00960.pdf"], "doi": []}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.pdf"], "doi": []}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410574", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.217", "http://doi.org/10.1109/ICCV.2015.217"]}, {"id": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4c45/4fda214e00c9cba4bb759da78949a4130873.pdf"], "doi": []}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"], "doi": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"], "doi": []}, {"id": "d250e57f6b7e06bb1dac41c8b89700086a85999e", "title": "Self-Supervised Generalisation with Meta Auxiliary Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08933.pdf"], "doi": []}, {"id": "de35ea60396629b2d1ceb73df56a97ed21012680", "title": "Robust object tracking via multi-scale patch based sparse coding histogram", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3289-2"]}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "19339e816d8006ad462868b01812b03eb463ead1", "title": "Collective activity localization by spatiality preservation search", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1080/01691864.2016.1172506", "https://www.wikidata.org/entity/Q58025855"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097417", "http://doi.org/10.1109/ACCESS.2017.2770178"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"], "doi": []}, {"id": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.pdf"], "doi": []}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"], "doi": []}, {"id": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"], "doi": []}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.pdf"], "doi": ["https://doi.org/10.5220/0006107503440351"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"], "doi": []}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation", "year": "2014", "pdf": ["http://people.eecs.berkeley.edu/~sgupta/pdf/ijcv14a.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0777-6"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"], "doi": []}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"], "doi": []}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"], "doi": []}, {"id": "149f3cc167b046dc790b1f4f1c48eeb31e898403", "title": "A study of vehicle detector generalization on U.S. highway", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0669.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795567", "http://doi.org/10.1109/ITSC.2016.7795567"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"], "doi": []}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"], "doi": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"], "doi": []}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-012-1296-7"]}, {"id": "25858dc59faf2630bf0eefe23297ce262370cff0", "title": "Monitoring Giraffe Behavior in Thermal Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046812"]}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"], "doi": []}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"], "doi": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2015.06.002"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045563", "http://doi.org/10.1109/LSP.2015.2404856"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"], "doi": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": [], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "19b6b0649cc669791c799c52fc56bdc556f06916", "title": "Efficient Model Evaluation with Bilinear Separation Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045964"]}, {"id": "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "title": "Generating Diverse Image Datasets with Limited Labeling", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967285"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379494", "http://doi.org/10.1109/SMC.2015.362"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"], "doi": []}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911291", "http://doi.org/10.1109/TPAMI.2017.2697849", "https://www.ncbi.nlm.nih.gov/pubmed/28459683", "https://www.wikidata.org/entity/Q38811217"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"], "doi": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00227", "http://doi.org/10.1109/CVPRW.2018.00227"]}, {"id": "2622d2467f19bc60427f8ea495515e7da82316c9", "title": "Tell Me Where to Look: Guided Attention Inference Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579058"]}, {"id": "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "title": "Mixing Hierarchical Contexts for Object Recognition", "year": "2011", "pdf": ["http://web.ing.puc.cl/~asoto/papers/Peralta-2011.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-25085-9_27"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.016"]}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410395", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.38", "http://doi.org/10.1109/ICCV.2015.38"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"], "doi": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"], "doi": []}, {"id": "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "title": "Distant Vehicle Detection Using Radar and Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10951.pdf"], "doi": []}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.08.006"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "5a364ecb2d10b637c63b885d27eb372390232277", "title": "Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789641"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.08.005"]}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"], "doi": []}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.234", "http://doi.org/10.1109/ICCV.2015.234"]}, {"id": "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "title": "Sparse Coding for Object Recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "aa23d33983b1abd2d8a677040eb875e93c478a7f", "title": "Measuring the Objectness of Image Windows", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/alexe11-techreport.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/alexe12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/techreports/eth_biwi_00882.pdf", "https://www.research.ed.ac.uk/portal/files/17686204/Alexe_et_al_2010_Measuring_the_objectnessi.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291", "http://doi.org/10.1109/TPAMI.2012.28", "https://www.ncbi.nlm.nih.gov/pubmed/22248633", "https://www.wikidata.org/entity/Q50666022"]}, {"id": "cab372bc3824780cce20d9dd1c22d4df39ed081a", "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.00915.pdf"], "doi": []}, {"id": "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "title": "Reconstructing PASCAL VOC", "year": "2014", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://home.isr.uc.pt/~joaoluis/papers/cvpr2014_1.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr2014_1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.13", "http://doi.org/10.1109/CVPR.2014.13"]}, {"id": "127316fbe268c78c519ceb23d41100e86639418a", "title": "CNN Features Off-the-Shelf: An Astounding Baseline for Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6382.pdf"], "doi": []}, {"id": "148686aebefff0a7fb3f80024f765ef4b06d2efc", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.5027.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "9bde2137a6a374ff81820e55a75ae5b70bf7fd5e", "title": "PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25382277", "https://doi.org/10.1039/C4MB00414K"]}, {"id": "bfa6ad4d71008505729274d008a9b4a7d92b2985", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.05442.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "ec187cedb69b389d06da26b17d889020e36ba6f6", "title": "ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240652"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999", "http://doi.org/10.1109/TMM.2018.2865686"]}, {"id": "562463fafacca4bbe5256e318eb628bf915f4114", "title": "SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797084"]}, {"id": "8bc80a5d721757868d85d9e40c56c15d9b5c0df0", "title": "Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270088"]}, {"id": "51a4d658c93c5169eef7568d3d1cf53e8e495087", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "20a78d3145279dcd799cd7a856ae2714f4863a16", "title": "SSD: Single Shot MultiBox Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02325.pdf"], "doi": []}, {"id": "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "bf5f67ebbe41f2fb1726a7c3c0be707366d5a4fb", "title": "Indoor Segmentation and Support Inference from RGBD Images", "year": "2012", "pdf": ["http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf", "http://cs.nyu.edu/~silberman/papers/indoor_seg_support_supplementary.pdf", "http://videolectures.net/site/normal_dl/tag=725527/eccv2012_silberman_images_01.pdf", "http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_indoorkinect_nathan.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33715-4_54"]}, {"id": "2f56b1ac5b9faac9527b6814778925e9242cf5fd", "title": "Training Region-Based Object Detectors with Online Hard Example Mining", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780458"]}, {"id": "42764b57d0794b63487a295ce8c07eeb6961477e", "title": "Instance-Aware Semantic Segmentation via Multi-task Network Cascades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780712"]}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "24d66ec9dd202a6ea02b8723ae9d2fd7ffd32a4a", "title": "BING: Binarized Normed Gradients for Objectness Estimation at 300fps", "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_01.pdf", "http://mmcheng.net/mftp/Papers/BingPoster.pdf", "http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://orca-mwe.cf.ac.uk/115427/1/CvmBING.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/BING-Binarized-Normed-Gradients-for-Objectness-Estimation-at-300fps.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cheng_BING_Binarized_Normed_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/14cvprObjectnessBING.pdf", "https://zimingzhang.files.wordpress.com/2014/10/14cvprobjectnessbing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909816", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.414", "http://doi.org/10.1109/CVPR.2014.414"]}, {"id": "21d4258394a9c8f0ea15f0792d67f7e645720ff6", "title": "Multiscale Combinatorial Grouping", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909443"]}, {"id": "58a6eb3584b2f5df2f25d39a218904d510cae516", "title": "The UAVid Dataset for Video Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10438.pdf"], "doi": []}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "ab9d87a03ce3538ff42b6c26d87e676107cc392c", "title": "Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619260"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "title": "Pooling in image representation: The visual codeword point of view", "year": "2013", "pdf": ["http://cedric.cnam.fr/~thomen/papers/avila_CVIU2012_final.pdf", "http://webia.lip6.fr/~thomen/papers/avila_CVIU2012_accepted.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2012.09.007"]}, {"id": "3282ae3a0111d4ff1176c513a0c65e9351f045e4", "title": "Generating Object Segmentation Proposals Using Global and Local Search", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909706"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "031055c241b92d66b6984643eb9e05fd605f24e2", "title": "Multi-fold MIL Training for Weakly Supervised Object Localization", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cinbis_Multi-fold_MIL_Training_2014_CVPR_paper.pdf", "https://hal.inria.fr/hal-00975746/PDF/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909705", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.309", "http://doi.org/10.1109/CVPR.2014.309"]}, {"id": "501d004186c1ebe7da5e3a0631624e0b55ebeabb", "title": "Learning Coupled Feature Spaces for Cross-Modal Matching", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751370"]}, {"id": "e1c17b0271c12033e78662d6d7ccb56ad321992c", "title": "Interactive comment on \u201c Impact of VOCs on the formation of ozone in a central China city during severe pollution periods \u201d by Bowei", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1c1/7b0271c12033e78662d6d7ccb56ad321992c.pdf"], "doi": []}, {"id": "aa4cc6506e837390486e5b836fb3dac8d15daafa", "title": "ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Kniaz_ThermalGAN_Multimodal_Color-to-Thermal_Image_Translation_for_Person_Re-Identification_in_Multispectral_ECCVW_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-11024-6_46"]}, {"id": "522fab628aab972f39835521e31564b4b6c64fe5", "title": "Vehicle Classification on Low-resolution and Occluded images : A low-cost labeled dataset for augmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/522f/ab628aab972f39835521e31564b4b6c64fe5.pdf"], "doi": []}, {"id": "79267f6c2df78cca735e0bf7ed27b9f9ff263224", "title": "Instance-sensitive Fully Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08678.pdf"], "doi": []}, {"id": "2ec2f8cd6cf1a393acbc7881b8c81a78269cf5f7", "title": "Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2ec2/f8cd6cf1a393acbc7881b8c81a78269cf5f7.pdf"], "doi": []}, {"id": "851a884a89a95968c2edcad9787994ccaa8b51a8", "title": "BING: Binarized normed gradients for objectness estimation at 300fps", "year": "2018", "pdf": ["http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/2014.5.6PPT.pdf"], "doi": ["https://doi.org/10.1007/s41095-018-0120-1"]}, {"id": "f78db8e59ba354258c3eb4fff2ec67564975436f", "title": "Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09263.pdf"], "doi": []}, {"id": "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "title": "Generative Adversarial Nets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6de2/b1058c5b717878cce4e7e50d3a372cc4aaa6.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "title": "Weakly Supervised Deep Detection Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02853.pdf"], "doi": []}, {"id": "67490b6f34c827f107b046adeef0f5476132d4f8", "title": "How good are detection proposals, really?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6962.pdf"], "doi": []}, {"id": "00f8d6db6cf5c5e2a9df1604a09db06d8eb574dd", "title": "Geometric Mining: Scaling Geometric Hashing to Large Datasets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406484"]}, {"id": "33da83b54410af11d0cd18fd07c74e1a99f67e84", "title": "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.1531.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "1cf29a0131211079fc73908ecf211ee78f090ad9", "title": "Regionlets for Generic Object Detection", "year": "2013", "pdf": ["http://image-net.org/challenges/LSVRC/2013/slides/ILSVRC2013_NEC.pdf", "http://users.eecs.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201510210855/regionlets.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/Regionlets%20for%20Generic%20Object%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wang_Regionlets_for_Generic_2013_ICCV_paper.pdf", "http://www.ece.northwestern.edu/~mya671/mypapers/ICCV13_Wang_Yang_Zhu_Lin.pdf", "http://www.xiaoyumu.com/s//PDF/Regionlets.pdf", "http://www.xiaoyumu.com/s/PDF/Regionlets-pami.pdf", "http://www.xiaoyumu.com/s/slides/Regionlets_imagenet_web.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751111", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.10", "http://doi.org/10.1109/TPAMI.2015.2389830", "https://www.ncbi.nlm.nih.gov/pubmed/26353185", "https://www.wikidata.org/entity/Q50562532"]}, {"id": "08fe9658c086b842980e86c66bde3cef95bb6bec", "title": "Deformable part models are convolutional neural networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.5403.pdf"], "doi": []}, {"id": "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "title": "Focal Loss for Dense Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237586"]}, {"id": "2640a376c2b51f83420526646613e85d730eab37", "title": "Saliency Detection via Graph-Based Manifold Ranking", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251"]}, {"id": "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "title": "Fast R-CNN", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410526"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "2a94c84383ee3de5e6211d43d16e7de387f68878", "title": "Feature Pyramid Networks for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099589"]}, {"id": "35173e7bff5490a1701d02eda6f406a404111953", "title": "Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781017"]}, {"id": "cdfe4e46d949b68c682e554c402d16679fd7247c", "title": "Stacked Deconvolutional Network for Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04943.pdf"], "doi": []}, {"id": "647c6ac5e0bfee0241d583650f18c6314f28aaee", "title": "Segmentation Driven Object Detection with Fisher Vectors", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.369", "http://doi.org/10.1109/ICCV.2013.369"]}, {"id": "1cf25786f1e473fdbfcd817cfa37b0ad12806e72", "title": "Co-segmentation by Composition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751271"]}, {"id": "272216c1f097706721096669d85b2843c23fa77d", "title": "Adam: A Method for Stochastic Optimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6980.pdf"], "doi": []}, {"id": "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "b9c830332608afbbf452a20afeff38ca5aac2e27", "title": "Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410477"]}, {"id": "3671d0262c502e292fa8d2333ab50b3e827dbcee", "title": "Relaxed Multiple-Instance SVM with Application to Object Discovery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410502"]}, {"id": "14b5e8ba23860f440ea83ed4770e662b2a111119", "title": "Visualizing and Understanding Convolutional Networks", "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.2901.pdf"], "doi": []}, {"id": "3bde1aae1db3577938ffe910a9de5a1f187840e9", "title": "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780684"]}, {"id": "e257d1df3d9f979e37e97fe65f879a12703f80bd", "title": "Fast Image Classification by Boosting Fuzzy Classifiers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01068.pdf"], "doi": []}, {"id": "4c5a07ab1700a67afaf16fc9a7a2647f51358255", "title": "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.05484.pdf"], "doi": []}, {"id": "94c5ced03a6f896a4b3bc5a98b8b2baf349d8852", "title": "Fully Convolutional Instance-Aware Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099955"]}, {"id": "beac53e8074b4822943a3374ff5e9fed98a891b8", "title": "Generate to Adapt: Aligning Domains Using Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578985"]}, {"id": "c0a0adb7f02d5509969e6107c914f7cc6e9ec881", "title": "Semantic Instance Segmentation via Deep Metric Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10277.pdf"], "doi": []}, {"id": "59c2f171f95941b5e36fc56fcbc6fa4d66b5fb55", "title": "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09246.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "0cf8443bcb14cfd6ac5bcf0e3775c0aad45558b4", "title": "CRAFT Objects from Images", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781019"]}, {"id": "51ea36ff126f8b4546e46a8876b0a644659fc2f5", "title": "Higher Order Conditional Random Fields in Deep Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.08119.pdf"], "doi": []}, {"id": "faeda3ca4ff5cc11717147f85d6416f704143120", "title": "Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d1f5/2a2daaa0421ae40dec1804ff32449175f19b.pdf"], "doi": []}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909858", "http://doi.org/10.1109/CVPR.2014.463", "https://www.wikidata.org/entity/Q58050718"]}, {"id": "56466f99025c26a163c8f6a9d31955f090230809", "title": "STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28114002", "https://doi.org/10.1109/TPAMI.2016.2636150"]}, {"id": "f0ee079a1f40736e5b7760b38781f090744f37fc", "title": "Contextualizing Object Detection and Classification", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353205", "https://doi.org/10.1109/TPAMI.2014.2343217", "https://www.wikidata.org/entity/Q40558547"]}, {"id": "27eca38a375af431430ca458ab3c723c59328634", "title": "ATLAS: A Three-Layered Approach to Facade Parsing", "year": "2015", "pdf": ["https://varcity.ethz.ch/paper/ijcv2015_mathias_atlas.pdf"], "doi": ["https://doi.org/10.1007/s11263-015-0868-z"]}, {"id": "32248e2a2f103cfdfe7e6a944dc0e4373e95d7b8", "title": "Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909578"]}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "title": "The Visual Object Tracking VOT2015 Challenge Results", "year": "2015", "pdf": ["http://cell.missouri.edu/media/publications/Matej-KristanRengarajan_VOT2015-challenge-results_ICCVW-2015.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/Kristan2013The.pdf", "http://data.votchallenge.net/vot2015/presentations/vot_2015_paper.pdf", "http://liris.cnrs.fr/Documents/Liris-6875.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w14/papers/Kristan_The_Visual_Object_ICCV_2015_paper.pdf", "http://www.epics-project.eu/publications/2013_kristan_iccvw.pdf", "http://www.epics-project.eu/publications/2014_kristan_iccvw.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674992/visual_kristan_ICCVW_2015_ps.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406428", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.79", "http://doi.org/10.1109/ICCVW.2015.79", "https://hal.archives-ouvertes.fr/hal-01336773/document"]}, {"id": "a1bcdb820f6f0dde108996a18eefb239ef0e9566", "title": "Visual Tracking: An Experimental Survey.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://doi.org/10.1109/TPAMI.2013.230"]}, {"id": "1af794673d64112edf60f071ca24066e6a227d2b", "title": "Online Object Tracking: A Benchmark", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619156"]}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "2822a883d149956934a20614d6934c6ddaac6857", "title": "A survey of appearance models in visual object tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4803.pdf"], "doi": []}, {"id": "f727837e03a039d9bcec6d02cd87256f5a5854a4", "title": "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03409.pdf"], "doi": []}, {"id": "ebe5a4c2dc3ca55a5aeedcd25a98ca6e446ce9cc", "title": "Hippocampal Activity Patterns Carry Information about Objects in Temporal Context", "year": "2014", "pdf": ["http://cogns.northwestern.edu/cbmg/pdfs/2.Hsieh_2014.pdf", "http://dml.ucdavis.edu/uploads/6/1/9/7/61974117/hseih_2014_hippocampal.pdf", "http://orca.cf.ac.uk/96034/7/Hsieh_NEURON-D-13-01629.1.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627314000208", "https://doi.org/10.1016/j.neuron.2014.01.015", "https://www.ncbi.nlm.nih.gov/pubmed/24607234"]}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050", "http://doi.org/10.1109/TPAMI.2014.2388226", "https://www.ncbi.nlm.nih.gov/pubmed/26353130", "https://www.wikidata.org/entity/Q35768210"]}, {"id": "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "title": "Hierarchical Convolutional Features for Visual Tracking", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~jbhuang/poster/ICCV_2015_HCF_Poster.pdf", "https://filebox.ece.vt.edu/~jbhuang/slides/ICCV_2015_HCF_Slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410709", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.352", "http://doi.org/10.1109/ICCV.2015.352"]}, {"id": "05375a7489f0a84d47a316bacb4d86e8a7bda0df", "title": "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751224"]}, {"id": "58e6eaacaab3fbf9b307a8aec1c614027ff501ce", "title": "Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition", "year": "2012", "pdf": ["http://109.101.234.42/documente/publications/19-62.pdf", "http://sminchisescu.ins.uni-bonn.de/papers/ms12eccv.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w09-levent.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_60"]}, {"id": "36c91b1342c1357877e89b4c43f8eadb39755c0b", "title": "Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses", "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/YaoFei-Fei_PAMI2012.pdf", "http://cs.stanford.edu/groups/vision/pdf/yaopami12.pdf", "http://vision.stanford.edu/pdf/yaopami12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165303", "http://doi.org/10.1109/TPAMI.2012.67", "https://www.ncbi.nlm.nih.gov/pubmed/22392710", "https://www.wikidata.org/entity/Q34185448"]}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "0da75bded3ae15e255f5bd376960cfeffa173b4e", "title": "The Role of Context for Object Detection and Semantic Segmentation in the Wild", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909514"]}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "title": "Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2353/17b7ce64b4b3aefe57c1304e8157a4832d2c.pdf"], "doi": []}, {"id": "18e39b6f8f5c538d639bc0b46136ed93b5e3ef35", "title": "A Large Dataset of Object Scans", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02481.pdf"], "doi": []}, {"id": "b31d6f201340ecec35bbe0f477710436f860605e", "title": "Learning Video Object Segmentation with Visual Memory", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237742"]}, {"id": "0558c94a094158ecd64f0d5014d3d9668054fb97", "title": "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/528d/141aba97074977a332bb2d96364b716f246c.pdf"], "doi": []}, {"id": "09a503095db2d68b439e48d67481399198ed0e5b", "title": "Recurrent Models of Visual Attention", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6247.pdf"], "doi": []}, {"id": "350d507f5d899e4d7293b1aa951aa0f81b9fd30a", "title": "The Visual Object Tracking VOT2017 Challenge Results", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265440", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.230", "http://doi.org/10.1109/ICCVW.2017.230"]}, {"id": "7e232313a59d735ef7c8a9f4cc7bc980a29deb5e", "title": "Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1116-0"]}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2ce63d77eecc35faef85a3b752a314c93a077ac9", "title": "Learning Multi-domain Convolutional Neural Networks for Visual Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780834"]}, {"id": "1c66fa1f3f189ca25bd657f53d77fde64c75f3da", "title": "Adaptive Color Attributes for Real-Time Visual Tracking", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909539"]}, {"id": "eb66303192a89c314ce4acae640ba700fa3293a3", "title": "Unsupervised Object Annotation through Context Analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb66/303192a89c314ce4acae640ba700fa3293a3.pdf"], "doi": []}, {"id": "079ed21601974d0604544a6d816c2f51b5c039b8", "title": "Enriching Visual Knowledge Bases via Object Discovery and Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909658"]}, {"id": "7574b7e5a75fdd338c27af5aeb77ab79460c4437", "title": "Learning Dynamic Siamese Network for Visual Object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458"]}, {"id": "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "title": "Object Bank: An Object-Level Image Representation for High-Level Visual Recognition", "year": "2013", "pdf": ["http://cs.stanford.edu/groups/vision/pdf/li_ijcv2013.pdf", "http://vision.stanford.edu/pdf/li_ijcv2013.pdf", "http://www.tpbin.com/Uploads/Subjects/79181d36-c45c-4f6c-821f-b7f9fcac3881.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0660-x"]}, {"id": "5527dd901b836e2f164c9fa3e62f57cd70c21745", "title": "3D object retrieval via range image queries in a bag-of-visual-words context", "year": "2013", "pdf": ["http://graphics.di.uoa.gr/Downloads/papers/journals/p43.pdf", "http://www.idi.ntnu.no/grupper/vis/wp-content/uploads/2013/09/Range3DRetrievalTVCfinal.pdf"], "doi": ["https://doi.org/10.1007/s00371-013-0876-3"]}, {"id": "5ea8a9ae2bf40c4722e618b732f769744ab57dfe", "title": "Context Driven Scene Parsing with Attention to Rare Classes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909817"]}, {"id": "2d84f49572c2b29b6c9e1818eb57e7f12bc4236e", "title": "Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751322"]}, {"id": "00319cd17cebae5e1095a248260bd7be15781362", "title": "A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01277.pdf"], "doi": []}, {"id": "0f060f011fe3093a24bf2cde96a4a833f58ec5a5", "title": "Object-based visual query suggestion", "year": "2012", "pdf": ["https://www.researchgate.net/profile/Pierre_Letessier/publication/257627352_Object-based_visual_query_suggestion/links/00b7d5260034959679000000.pdf"], "doi": ["https://doi.org/10.1007/s11042-012-1340-5"]}, {"id": "33baa52f583fb049f473a53d8e0ca5ac8e7abbf2", "title": "Reinforcement Learning for Visual Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780685"]}, {"id": "1631bc8b8fe853278b8e54bd3e9fff1445fa9f91", "title": "Visual Distance Measures for Object Retrieval", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411668"]}, {"id": "4a8e9e179b58d3e10448f5e4680b66f34c8bc573", "title": "Learning to segment moving objects in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299035"]}, {"id": "0f6a8e9139cdd15fd0a8a292204aed21a8b51c5a", "title": "ReferItGame: Referring to Objects in Photographs of Natural Scenes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f6a/8e9139cdd15fd0a8a292204aed21a8b51c5a.pdf"], "doi": []}, {"id": "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "title": "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780807"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "efa08283656714911acff2d5022f26904e451113", "title": "Active Object Localization in Visual Situations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00548.pdf"], "doi": []}, {"id": "1f7127b9ae86d7fac305c6b824801e455e82f511", "title": "Visual relationship detection with object spatial distribution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019448", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019448", "http://doi.org/10.1109/ICME.2017.8019448"]}, {"id": "051830b0ea58d1568f19ec3297e301d9789c9a76", "title": "Bringing Semantics into Focus Using Visual Abstraction", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes.pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes_rob.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d009.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ZitnickParikh_CVPR_2013_clipart.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619231", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.387", "http://doi.org/10.1109/CVPR.2013.387"]}, {"id": "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "title": "ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7433003"]}, {"id": "9a8e61cc9a95efe9e35df4d4230c7b8a655b7392", "title": "Unsupervised Joint Object Discovery and Segmentation in Internet Images", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619097"]}, {"id": "022027ce7475029f78fb3cdb758d947a8978ab5c", "title": "Invariant visual object recognition: biologically plausible approaches", "year": "2015", "pdf": ["http://wrap.warwick.ac.uk/77413/1/WRAP_422_2015_Article_658.pdf", "http://www.oxcns.org/papers/554%20Robinson%20Rolls%202015%20Invariant%20visual%20object%20recognition%20Biologically%20plausible%20models.pdf"], "doi": ["https://doi.org/10.1007/s00422-015-0658-2", "https://www.ncbi.nlm.nih.gov/pubmed/26335743", "https://www.wikidata.org/entity/Q43248757"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/Semantic-Technologies/paper/amr2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-12093-5_4"]}, {"id": "bbe7f4217a9bd9c6d3826b5b62d59d183e729383", "title": "Discriminative Hough context model for object detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0780-x"]}, {"id": "55ca9fe4ae98904bfe026d22dcf1420ff9c0dd86", "title": "Dataset for Visual Reasoning", "year": "2017", "pdf": [], "doi": []}, {"id": "20f9a09defe5b02b98c464ca6df36b3b6358f60b", "title": "The State-of-the-Art in Visual Object Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cd46/4a309fa1736e1373f0bb06baf75e3d0abcac.pdf"], "doi": []}, {"id": "d86fabd4498c8feaed80ec342d254fb877fb92f5", "title": "Region-Object Relevance-Guided Visual Relationship Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d86f/abd4498c8feaed80ec342d254fb877fb92f5.pdf"], "doi": []}, {"id": "4405b44b5597787c42abeca6d0b3172175557b7b", "title": "Object discovery in 3D scenes via shape analysis", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630857"]}, {"id": "8da0771e47c32405c4877cedce3ff84ac7390646", "title": "A survey of datasets for visual tracking", "year": "2015", "pdf": ["http://www.isir.upmc.fr/files/2015ACLI3545.pdf"], "doi": ["https://doi.org/10.1007/s00138-015-0713-y", "http://hal.upmc.fr/hal-01217152/document"]}, {"id": "4a75c3441cef2069458fe61a01196c2c8b32ee92", "title": "Single-trial classification of EEG in a visual object task using ICA and machine learning", "year": "2014", "pdf": ["https://www.research.ed.ac.uk/portal/files/14632594/Stewart.JNeurosciMeth.228.2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027014000752", "https://doi.org/10.1016/j.jneumeth.2014.02.014", "https://www.ncbi.nlm.nih.gov/pubmed/24613798"]}, {"id": "1456f147381bf7c385225d854c2fb48c19eca285", "title": "LCAV-31: a dataset for light field object recognition", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/197737/files/902014.pdf"], "doi": ["http://doi.org/10.1117/12.2041097"]}, {"id": "d7ed761cfe1b71aa7e4d08c355fcab131558f8c8", "title": "Learning Object Models on a Robot using Visual Context and Appearance Cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d7ed/761cfe1b71aa7e4d08c355fcab131558f8c8.pdf"], "doi": []}, {"id": "d53c79cce46820642f2d4e0f0dac9b31d1201f24", "title": "Visual object trapping", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.cviu.2016.07.007"]}, {"id": "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "title": "The Cityscapes Dataset", "year": "2015", "pdf": [], "doi": []}, {"id": "14ca963b4e0b87fc7213b8e3a3e2371cee7ffad6", "title": "Exploring Causal Relationships in Visual Object Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410708"]}, {"id": "f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": "b0cd469a06fb2eae3a5cc0c860aa592f71b13f6d", "title": "IQA: Visual Question Answering in Interactive Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578528"]}]} \ No newline at end of file diff --git a/site/datasets/unknown/voxceleb2.json b/site/datasets/unknown/voxceleb2.json index 12705b7a..9f9488c9 100644 --- a/site/datasets/unknown/voxceleb2.json +++ b/site/datasets/unknown/voxceleb2.json @@ -1 +1 @@ -{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "citations": [{"id": "9461ae046dbbafbad095bbbc80d0b9e5931f6a72", "title": "Linkage Based Face Clustering via Graph Convolution Network", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "54eef13b3fe487cc48a74faf8f486a312f545cc9", "title": "Self-supervised speaker embeddings", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03486.pdf"], "doi": []}, {"id": "ff34d1ede03e99fb4694961d458bf0ca51cd4b31", "title": "A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/ff34/d1ede03e99fb4694961d458bf0ca51cd4b31.pdf"], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "bececcda7976be8e19abe19baf2e1f19483b5eaa", "title": "Additive Margin SincNet for Speaker Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10826.pdf"], "doi": []}, {"id": "87061b07b04c55d426e5469935f7d679fe111ede", "title": "VoiceID Loss: Speech Enhancement for Speaker Verification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03601.pdf"], "doi": []}, {"id": "acc405806229912e9723c55bf61dc1d34059f5d1", "title": "Few Shot Speaker Recognition using Deep Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08775.pdf"], "doi": []}, {"id": "7fe117f5bbf91f85a97720eca8be36da87a5f8a8", "title": "Revisiting Cross Modal Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07364.pdf"], "doi": []}, {"id": "a9cbd487b394d94d5f303c91d7f14dae14f70acf", "title": "Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03790.pdf"], "doi": []}, {"id": "35a2ee8bb43ad14b966c294f599475c1edd5213e", "title": "Centroid-based deep metric learning for speaker recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02375.pdf"], "doi": []}, {"id": "2fa77c103e2e4bb166cefab209a0be24c99914d8", "title": "UPC Multimodal Speaker Diarization System for the 2018 Albayzin Challenge", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2fa7/7c103e2e4bb166cefab209a0be24c99914d8.pdf"], "doi": []}, {"id": "37db8a78a6bb47f6de37f5e42f6df5cd7b1bd304", "title": "Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03293.pdf"], "doi": []}, {"id": "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "title": "Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10813.pdf"], "doi": []}, {"id": "65a9d4b8740b7ae48127d7eae9443086613a83a7", "title": "FML: Face Model Learning from Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07603.pdf"], "doi": []}, {"id": "4da8fe0379af893cca721276e13db3622955b3e7", "title": "Fully Supervised Speaker Diarization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04719.pdf"], "doi": []}, {"id": "23a109da0c4ce0314f6f016da679a4e1fd6960ef", "title": "JHU Diarization System Description", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23a1/09da0c4ce0314f6f016da679a4e1fd6960ef.pdf"], "doi": []}, {"id": "6f0ce4d957c4e9556b04b539105837a5db63b925", "title": "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04558.pdf"], "doi": []}, {"id": "b3918fab36f106e83e016a3e33d260ad656191c4", "title": "MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1904.04240.pdf"], "doi": []}, {"id": "e89cf011bb543137b961807924e0b765d536aa98", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}]} \ No newline at end of file +{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "citations": [{"id": "ff34d1ede03e99fb4694961d458bf0ca51cd4b31", "title": "A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/ff34/d1ede03e99fb4694961d458bf0ca51cd4b31.pdf"], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "bececcda7976be8e19abe19baf2e1f19483b5eaa", "title": "Additive Margin SincNet for Speaker Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10826.pdf"], "doi": []}, {"id": "87061b07b04c55d426e5469935f7d679fe111ede", "title": "VoiceID Loss: Speech Enhancement for Speaker Verification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03601.pdf"], "doi": []}, {"id": "7fe117f5bbf91f85a97720eca8be36da87a5f8a8", "title": "Revisiting Cross Modal Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07364.pdf"], "doi": []}, {"id": "2fa77c103e2e4bb166cefab209a0be24c99914d8", "title": "UPC Multimodal Speaker Diarization System for the 2018 Albayzin Challenge", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2fa7/7c103e2e4bb166cefab209a0be24c99914d8.pdf"], "doi": []}, {"id": "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "title": "Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10813.pdf"], "doi": []}, {"id": "23a109da0c4ce0314f6f016da679a4e1fd6960ef", "title": "JHU Diarization System Description", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23a1/09da0c4ce0314f6f016da679a4e1fd6960ef.pdf"], "doi": []}, {"id": "e89cf011bb543137b961807924e0b765d536aa98", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/who_goes_there.json b/site/datasets/unknown/who_goes_there.json index b4f3b277..2378a731 100644 --- a/site/datasets/unknown/who_goes_there.json +++ b/site/datasets/unknown/who_goes_there.json @@ -1 +1 @@ -{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "citations": [{"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "f46c3d6ff65128cebb50069d1cdaae1ec7f51b21", "title": "Mastering the game of Go without human knowledge", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/10045895/1/agz_unformatted_nature.pdf", "http://www.ics.uci.edu/~dechter/courses/ics-295/winter-2018/papers/nature-go.pdf"], "doi": ["https://doi.org/10.1038/nature24270", "https://www.ncbi.nlm.nih.gov/pubmed/29052630"]}, {"id": "d33c745e04b36f269d660dea6719b0c47c9478b7", "title": "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/351b/406dbfabd14d472c2f4ab17671fb300ded4a.pdf"], "doi": []}, {"id": "3b64310dd13e71e6b192ca70c76a3ab65143614c", "title": "360-Degree Video Head Movement Dataset", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3b64/310dd13e71e6b192ca70c76a3ab65143614c.pdf"], "doi": []}, {"id": "33f5a57916ba59ed32190aaddb71c9cb366ba7f8", "title": "NewsQA: A Machine Comprehension Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09830.pdf"], "doi": []}, {"id": "ba6fc44b7068941011bd6d3bcbc53b71b5269201", "title": "Determinants of rural out-migration in Ethiopia: Who stays and who goes?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ba6f/c44b7068941011bd6d3bcbc53b71b5269201.pdf"], "doi": []}, {"id": "9ce4d5a8e2e83850552af2fed61dc76f7fcd98bc", "title": "SisFall: A Fall and Movement Dataset", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ce4/d5a8e2e83850552af2fed61dc76f7fcd98bc.pdf"], "doi": []}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "efe16df08d9a2575b17bf1a92a1750207101f50b", "title": "RACE: Large-scale ReAding Comprehension Dataset From Examinations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04683.pdf"], "doi": []}, {"id": "f25c8ed345e32db953e0d41a12566aefd27e373e", "title": "Who Goes Freelance? The Determinants of Self-Employment for Artists:", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f25c/8ed345e32db953e0d41a12566aefd27e373e.pdf"], "doi": []}, {"id": "a2d29bfbfdeee2d5fcee1597c9a2cab95ef068d9", "title": "Availability of datasets for digital forensics \u2013 And what is missing", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.diin.2017.06.004", "https://digitalcommons.newhaven.edu/cgi/viewcontent.cgi?article=1073&context=electricalcomputerengineering-facpubs", "https://www.dfrws.org/file/898/download?token=pPWguAZ4"]}, {"id": "a65b93c01518755291e19a0545c1a3d20e401c0a", "title": "A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.04453.pdf"], "doi": []}, {"id": "934171bccc51bd720e5713fb85042cb6344d0721", "title": "UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07688.pdf"], "doi": []}, {"id": "d52ce59b76942d7edb80119a0fe28a07ff34a4e3", "title": "Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041170"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "a9f1838de25c17a38fae9738d137d7c7644b3be1", "title": "Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a9f1/838de25c17a38fae9738d137d7c7644b3be1.pdf"], "doi": []}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "7d9c957c77f9e1bddd0cb8800f837ef0dd6f3a38", "title": "Who's downloading pirated papers? Everyone.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27126020", "https://doi.org/10.1126/science.352.6285.508"]}, {"id": "91e262c4170775d2c4d09c1028ed841484d22729", "title": "STARDATA: A StarCraft AI Research Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02139.pdf"], "doi": []}, {"id": "3e8355b608099a0d5564b6a6d8ecd8b505007251", "title": "SAMM: A Spontaneous Micro-Facial Movement Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7492264"]}, {"id": "f4b654433c53b26b71d5f39dd8ecdc4d8a2acb1f", "title": "Stereotyping and Bias in the Flickr30K Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06083.pdf"], "doi": []}, {"id": "afb6050fb54007d699cea1ebc95908a5ba8fefe9", "title": "Do They Stay or Do They Go? The Switching Decisions of Individuals Who Enter Gender Atypical College Majors.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27152062", "https://doi.org/10.1007/s11199-016-0583-4"]}, {"id": "3374241a54e2b1d4809e7957234ee22e7a112641", "title": "Who Are You? A Statistical Approach to Measuring User Authenticity", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ca73/39da09026f7cd0ff5d7f03118154f6803762.pdf"], "doi": []}, {"id": "85737c3dbfe9f98e404842f3fcab201a91933cdf", "title": "\"Don't think I'm going to leave you over it\": Accounts of changing hepatitis C status among couples who inject drugs.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28208098", "https://doi.org/10.1016/j.drugalcdep.2016.12.020"]}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "d0a648b783bbc607182573a7b54038661961dcc0", "title": "A multimodal dataset for various forms of distracted driving", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28809848", "https://doi.org/10.1038/sdata.2017.110"]}, {"id": "bc757460a9cad6fb433085d8d4eaba254b27b0d3", "title": "Standards and datasets for reporting cancers Dataset for histopathological reporting of colorectal cancer December 2017", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc75/7460a9cad6fb433085d8d4eaba254b27b0d3.pdf"], "doi": []}, {"id": "4833ba7a6a11c856b38d35b5690d9c9c9cb0688d", "title": "Embracing data abundance: BookTest Dataset for Reading Comprehension", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00956.pdf"], "doi": []}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "b24cac5a4ce8009f729ee273bbc90365f19ae911", "title": "Who Benefits from the \"Sharing\" Economy of Airbnb?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02238.pdf"], "doi": []}, {"id": "1c040b20cf3d58631162393fc21cebd085fe6fee", "title": "The Music Streaming Sessions Dataset", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3313641"]}, {"id": "02cc92287c6614b6a2aa982007471f16b3450013", "title": "Towards a Dataset for Human Computer Communication via Grounded Language Acquisition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/02cc/92287c6614b6a2aa982007471f16b3450013.pdf"], "doi": []}, {"id": "40c759b61ebfb2a2eb07d9f72e304fa9bee2c495", "title": "Funding rebellion: The Rebel Contraband Dataset", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/40c7/59b61ebfb2a2eb07d9f72e304fa9bee2c495.pdf"], "doi": []}, {"id": "0e5b055fdd5ba45930a2a3e719af769cd15d9b61", "title": "Satisfying Real-world Goals with Dataset Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07558.pdf"], "doi": []}, {"id": "2e19e455327176d02f9c82e43bd9638d97a9908d", "title": "A Dataset of Daily Interactive Manipulation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00858.pdf"], "doi": []}, {"id": "98d2e89722b488ae4b0850b4be9ab815459cbbce", "title": "The EUTL Transfer Dataset. Description and Insights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/98d2/e89722b488ae4b0850b4be9ab815459cbbce.pdf"], "doi": []}, {"id": "fabe35049b1b8a0be052ef8c1647e5b6cb2d8cf0", "title": "The OKCupid dataset: A very large public dataset of dating site users", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fabe/35049b1b8a0be052ef8c1647e5b6cb2d8cf0.pdf"], "doi": []}, {"id": "76726edaef96a688361fc7627e7fdc64ecb7ec78", "title": "SIMADL: Simulated Activities of Daily Living Dataset", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7672/6edaef96a688361fc7627e7fdc64ecb7ec78.pdf"], "doi": []}, {"id": "2088c55ec3e52a8be99cd933907020c70b281383", "title": "Mastering the game of Go with deep neural networks and tree search", "year": "2016", "pdf": ["http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf", "http://amygdala.psychdept.arizona.edu/Jclub/Silver-et-al.%20Mastering%20the%20game%20of%20Go%20with%20deep%20neural%20networks%20and%20tree%20search+Nature+2016.pdf", "http://courses.csail.mit.edu/6.803/pdf/2016%20go.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/cewu/201604121414/Mastering%20the%20game%20of%20Go%20with%20deep%20neural%20networks%20and%20tree%20search.pdf", "http://willamette.edu/~levenick/cs448/goNature.pdf", "http://www.bioinfo.org.cn/~casp/temp/alphago_slides.pdf", "http://www3.cs.stonybrook.edu/~cse634/G6present.pdf", "https://ai.arizona.edu/sites/ai/files/resources/mastering_the_game_of_go_with_deep_neural_networks_and_tree_search.pdf", "https://gogameguru.com/i/2016/03/deepmind-mastering-go.pdf", "https://instructure-uploads.s3.amazonaws.com/account_13960000000000001/attachments/1619484/alphaGo_nature.pdf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAJDW777BLV26JM2MQ/20180527/us-east-1/s3/aws4_request&X-Amz-Date=20180527T075425Z&X-Amz-Expires=86400&X-Amz-Signature=cd962810529110ff8b4da03b238cd58f1615863ea6830bbf7bb67532679173c1&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B+filename%3D%22alphaGo_nature.pdf%22%3B+filename*%3DUTF-8''alphaGo%255Fnature.pdf", "https://www.gwern.net/docs/rl/2016-silver.pdf"], "doi": ["https://doi.org/10.1038/nature16961", "https://www.ncbi.nlm.nih.gov/pubmed/26819042", "https://www.wikidata.org/entity/Q28005460"]}, {"id": "6b5f18940222bae48cacfcbb0e7c05cb6c1bb214", "title": "Kharon dataset: Android malware under a microscope", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fd9/2b068f9ca2d545b32f8c4c7b68a53539ded0.pdf"], "doi": []}, {"id": "8c5cdb0cdd1423999563ec7d93fba4623df3718a", "title": "e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01776.pdf"], "doi": []}, {"id": "88a0c58dc2d79fc1f191bafebbcb1142791873d9", "title": "Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/88a0/c58dc2d79fc1f191bafebbcb1142791873d9.pdf"], "doi": []}, {"id": "4b133ba6de9a7e1c7305c65eae34cde6ed34f8ce", "title": "UTSig: A Persian Offline Signature Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.03235.pdf"], "doi": []}, {"id": "995b7affd684b910d5a1c520c3af00fd20cc39b0", "title": "DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05073.pdf"], "doi": []}, {"id": "1394ca71fc52db972366602a6643dc3e65ee8726", "title": "EmoReact: a multimodal approach and dataset for recognizing emotional responses in children", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2993168"]}, {"id": "e738d166c72513feaede2e19b4e713fd410cfce8", "title": "The KIT Motion-Language Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03827.pdf"], "doi": []}, {"id": "8b354d76813bd5375e7e5c8d17f630bec5936a01", "title": "ListOps: A Diagnostic Dataset for Latent Tree Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06028.pdf"], "doi": []}, {"id": "3704c08a48102e55c6eb8c42f0a2ed625e4133b2", "title": "DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3704/c08a48102e55c6eb8c42f0a2ed625e4133b2.pdf"], "doi": []}, {"id": "99d280ad48df903720cfc9f65f3f5a06b49dc337", "title": "A Recorded Debating Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06438.pdf"], "doi": []}, {"id": "92b6c7333e65f17c39d2f59fc4e16adf9c11c8ce", "title": "A Multilingual, Multi-style and Multi-granularity Dataset for Cross-language Textual Similarity Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/92b6/c7333e65f17c39d2f59fc4e16adf9c11c8ce.pdf"], "doi": []}, {"id": "a529e05211d685bbc6f80f1081e4784c325ea8d0", "title": "ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ed2b/3699731e3c828f9c3deade0f01cde11c0888.pdf"], "doi": []}, {"id": "b05f41f0b0f26293eb4551a1393fa2b80bfee2f8", "title": "An Extensive Dataset of UML Models in GitHub", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962411"]}, {"id": "931e2bb5ffd83227c8767dc12209af6a888ee71c", "title": "Rehabilitating the Color Checker Dataset for Illuminant Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12262.pdf"], "doi": []}, {"id": "5870cda9f3f8e4c812501ccea0bb57593dbbd08c", "title": "Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial", "year": "2016", "pdf": ["http://cloudfront.practiceupdate.net/zone/els.pracuponcology_UrothelialCancer/Urothelial-1_Rosenberg.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616005614?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/S0140-6736%2816%2900561-4", "https://www.ncbi.nlm.nih.gov/pubmed/26952546"]}, {"id": "c946c81beb1b0022b69913d670e5b71af8393469", "title": "Vision-based ego-lane analysis system : dataset and algorithms", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c946/c81beb1b0022b69913d670e5b71af8393469.pdf"], "doi": []}, {"id": "f010affab57b5fcf1cd6be23df79d8ec98c7289c", "title": "TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03551.pdf"], "doi": []}, {"id": "1f59fa7f65f1f78453d0c8f08d5b84d50475d43c", "title": "Adversarial Learning and Explainability in Structured Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06583.pdf"], "doi": []}, {"id": "e86f0f8bd42b7995abf467b3b17bded30fe9f94a", "title": "Continuous Defect Prediction: The Idea and a Related Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962410"]}, {"id": "741c33aec2a6c2c7ca8118148adad09bddaca1be", "title": "Modernizing Analytics for Melanoma with a Large-Scale Research Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102982"]}, {"id": "da6e404d8911b0e5785019a79dc8607e0b313dc4", "title": "Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03209.pdf"], "doi": []}, {"id": "5365892b23db7e8bd526441d339c9165657f7efb", "title": "MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1711.09017.pdf"], "doi": []}, {"id": "579914dac924d6b4a17889ea7b0dd744a62bbd74", "title": "IBC-C : A Dataset for Armed Conflict Event Analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5799/14dac924d6b4a17889ea7b0dd744a62bbd74.pdf"], "doi": []}, {"id": "2bbd9c0192040fda1714789339fb1858e2f9215f", "title": "A Dataset of Scratch Programs: Scraped, Shaped and Scored", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962409"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "d2e98e202ebbde1de73740c58857cc6abd1c8705", "title": "A dataset of human decision-making in teamwork management", "year": "2017", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/45720/A%20dataset%20of%20human%20decision-making%20in%20teamwork%20management.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28094787", "https://doi.org/10.1038/sdata.2016.127"]}, {"id": "3108f96f80d129036f53684344f4058257b37c4b", "title": "DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03957.pdf"], "doi": []}, {"id": "1912a15d4f114e6dda5074b0b2b8159572ed98c6", "title": "GEC into the future: Where are we going and how do we get there?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1912/a15d4f114e6dda5074b0b2b8159572ed98c6.pdf"], "doi": []}, {"id": "fc50c9392fd23b6c88915177c6ae904a498aacea", "title": "Scaling Egocentric Vision: The EPIC-KITCHENS Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02748.pdf"], "doi": []}, {"id": "5520acfa1f4e678f1abbaab67ec76e903c3d3bdc", "title": "SALSA: A Novel Dataset for Multimodal Group Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.06882.pdf"], "doi": []}, {"id": "67d588b251c8c354cda88f1a4557eb5e66445cfa", "title": "Evaluation of the effects of transmission impairments on perceived video quality by exploiting ReTRiEVED dataset", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1117/1.JEI.26.2.023003"]}, {"id": "e44fa58781ad3822acb6e741760ccdd9cc2465e0", "title": "Using Latent Dirichlet Allocation for Topic Modeling and Document Clustering of Dumaguete City Twitter Dataset", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3219799"]}, {"id": "0d3754156b3400b8e67bb7042be9731caa17a118", "title": "Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003\u20132013", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28350378", "https://doi.org/10.1038/sdata.2017.38"]}, {"id": "05349bc8f8fd0941b51e66c3248d9f5592fbf6d1", "title": "fine-GRAPE: fine-grained APi usage extractor \u2013 an approach and dataset to investigate API usage", "year": "2016", "pdf": ["https://pure.tudelft.nl/portal/files/13970857/9303071.pdf", "https://pure.tudelft.nl/portal/files/9303074/emse2016.pdf"], "doi": ["https://doi.org/10.1007/s10664-016-9444-6", "https://repository.tudelft.nl/islandora/object/uuid:3d0521b7-7fd4-40ab-8bc4-7109267b5ba4/datastream/OBJ/download"]}, {"id": "48904654776df4affb4703f7ed6ac0f99e8e5c5c", "title": "Is there evidence for a limit to human lifespan?", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/nature22788", "https://www.ncbi.nlm.nih.gov/pubmed/28658235"]}, {"id": "ff0be3fd179fa6ec2be4456ca8aac7c7d7384915", "title": "The dataset on post\u2010civil war power and compromise, 1990-2012", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ff0b/e3fd179fa6ec2be4456ca8aac7c7d7384915.pdf"], "doi": []}, {"id": "fa319fc1fdba8abff9d7f408f24a651a920657b1", "title": "Using Data Visualization Technique to Detect Sensitive Information Re-Identification Problem of Real Open Dataset", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858495"]}, {"id": "1f69fa423b076e19dc2ccf6bc9013f09ae39133c", "title": "Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1f69/fa423b076e19dc2ccf6bc9013f09ae39133c.pdf"], "doi": []}, {"id": "bd2c19b9d10f55c52ff81f0c536dd9f1530824a5", "title": "There Is Individualized Treatment. Why Not Individualized Inference", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.08539.pdf"], "doi": []}, {"id": "d219df43ed43e39fbb39514de38dd08704c70c9e", "title": "RDF dataset profiling - a survey of features, methods, vocabularies and applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f8b8/9c138797090b7369c2e9d929ea0889dd3426.pdf"], "doi": []}, {"id": "909f9d31d4c01eedb81e2f8db0dbc4d06d2fe76b", "title": "K-Aggregation: Improving Accuracy for Differential Privacy Synthetic Dataset by Utilizing K-Anonymity Algorithm", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7920986"]}, {"id": "aa09ade36424fd83f067f234baffde294800e705", "title": "Is a Picture Worth Ten Thousand Words in a Review Dataset?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07496.pdf"], "doi": []}, {"id": "4cde8c46ec987137d82f1b5572b4622d4ad9abcc", "title": "AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4cde/8c46ec987137d82f1b5572b4622d4ad9abcc.pdf"], "doi": []}, {"id": "8f1c9b656157b1d851563fb42129245701d83175", "title": "Transforming Question Answering Datasets Into Natural Language Inference Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02922.pdf"], "doi": []}, {"id": "e95f11e4f4d3801201b5e3aa99f9cec85d589763", "title": "Why Are There So Many Lawyers in Congress", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e95f/11e4f4d3801201b5e3aa99f9cec85d589763.pdf"], "doi": []}, {"id": "3cd586af4396bbda232f279f6c62a17593ce7fd1", "title": "Adverse Drug Event Reporting From Clinical Care: Mixed-Methods Analysis for a Minimum Required Dataset", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3cd5/86af4396bbda232f279f6c62a17593ce7fd1.pdf"], "doi": []}, {"id": "39f9cbee6436eaaed9e667ad001d6ef2851742fe", "title": "Implementation of dataset staging process with improved security in a new analysis facility for ALICE experiment", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11416-017-0308-4"]}, {"id": "f75d0d6825f06af19f04756f8f8ba3e8342b0b5f", "title": "Diabetic analytics: proposed conceptual data mining approaches in type 2 diabetes dataset", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/f75d/0d6825f06af19f04756f8f8ba3e8342b0b5f.pdf"], "doi": []}, {"id": "f318fbc554bdbe3678de599e7391a4d222e76128", "title": "TokTrack: A Complete Token Provenance and Change Tracking Dataset for the English Wikipedia", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08244.pdf"], "doi": []}, {"id": "12e94e888a9966738c56430abff7ed7fa452221b", "title": "Getting to Know Low-light Images with The Exclusively Dark Dataset", "year": "2019", "pdf": ["https://arxiv.org/pdf/1805.11227.pdf"], "doi": []}, {"id": "827e0def212f6834d615e4f3f25b55fe27f6460d", "title": "Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/827e/0def212f6834d615e4f3f25b55fe27f6460d.pdf"], "doi": []}, {"id": "9cf2e4ce514ac950be0a95d6b5af501f031f7783", "title": "MGH\u2013USC Human Connectome Project datasets with ultra-high b-value diffusion MRI", "year": "2016", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811915007983?dgcid=api_sd_search-api-endpoint", "https://andl.wjh.harvard.edu/download/file/fid/511", "https://doi.org/10.1016/j.neuroimage.2015.08.075", "https://www.ncbi.nlm.nih.gov/pubmed/26364861", "https://www.wikidata.org/entity/Q35771881"]}, {"id": "629a9a0725ac32793087405fad6cecc1acfec77c", "title": "Generating Differentially Private Datasets Using GANs", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/629a/9a0725ac32793087405fad6cecc1acfec77c.pdf"], "doi": []}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "96dd83b848ca3ed5b36a579ef102d3b1788530dc", "title": "Analyzing Assumptions in Conversation Disentanglement Research Through the Lens of a New Dataset and Model", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11118.pdf"], "doi": []}, {"id": "db01b61c60026346d50b862667ac696844b966f9", "title": "Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db01/b61c60026346d50b862667ac696844b966f9.pdf"], "doi": []}, {"id": "dc3842bf3eb79a9f1c0f1e581fb917031e8ad984", "title": "Development of South Australian-Victorian Prostate Cancer Health Outcomes Research Dataset", "year": "2016", "pdf": ["https://bmcresnotes.biomedcentral.com/track/pdf/10.1186/s13104-016-1855-3", "https://dspace.flinders.edu.au/xmlui/bitstream/handle/2328/36179/Ruseckaite_Development_P2016.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1186/s13104-016-1855-3", "https://www.ncbi.nlm.nih.gov/pubmed/26801762"]}, {"id": "bafa0a3a4aa778e8e8bbcd35cf9bd32c7887d4b9", "title": "The Multimodal Study of Blended Learning Using Mixed Sources: Dataset and Challenges of the SpeakUp Case", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bafa/0a3a4aa778e8e8bbcd35cf9bd32c7887d4b9.pdf"], "doi": []}, {"id": "5b0f10384ecff9e98756dff2246549539fd09f39", "title": "The CBR-LRI Dataset: Methods, Properties and Potential of Leximetric Coding of Labour Laws", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b0f/10384ecff9e98756dff2246549539fd09f39.pdf"], "doi": []}, {"id": "438df182c0d174be8af9fc08d5e7bb0cdc7477e3", "title": "The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3154925"]}, {"id": "96342f678949bcae35eabda3cfafeb0d0abe1d32", "title": "Performance of Snort on DARPA Dataset and different False Alert Reduction techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9634/2f678949bcae35eabda3cfafeb0d0abe1d32.pdf"], "doi": []}, {"id": "f48c867eb3bcbeb1eab6ad91d9bad91af9797634", "title": "In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04824.pdf"], "doi": []}, {"id": "8b5e900876e4227b1e228b2ae2b211a2b88096d3", "title": "The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8b5e/900876e4227b1e228b2ae2b211a2b88096d3.pdf"], "doi": []}, {"id": "5e9c9d0164ae041786f8fdc5726da12403e91a6c", "title": "Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06975.pdf"], "doi": []}, {"id": "50b3489c7978cb399d4f3b3a1648a579918d1acc", "title": "The French Mus\u00e9um national d\u2019histoire naturelle vascular plant herbarium collection dataset", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28195585", "https://doi.org/10.1038/sdata.2017.16"]}, {"id": "552d6d29deb08d765d6e1187b75d96b33ca478d9", "title": "Self-Guiding Multimodal LSTM - when we do not have a perfect training dataset for image captioning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05038.pdf"], "doi": []}, {"id": "e5c67abf455acbd9a8b1dba53e163cb5bf3e96bd", "title": "Mobile Social Big Data: WeChat Moments Dataset, Network Applications, and Opportunities", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8315229"]}, {"id": "1a5b97d9105f885565f28b658991d0e0e6095f14", "title": "ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a5b/97d9105f885565f28b658991d0e0e6095f14.pdf"], "doi": []}, {"id": "b0a1b8139a1cfd19e9e6ce527481750acb49d952", "title": "Presenting a labelled dataset for real-time detection of abusive user posts", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3106456"]}, {"id": "54c0c35560beac2b37026d6e479b0b793a4a8b3e", "title": "Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/84ef/8bb73c93789ada648547380ce4522fe38a1d.pdf"], "doi": []}, {"id": "5b1d78b160560db5f581e65289ce5e2f99eb9b1f", "title": "Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.06618.pdf"], "doi": []}, {"id": "bda8ec0c7a71bd4b88db6c7e7e73e8b74ca4ac3b", "title": "Making of a solar spectral irradiance dataset I: observations, uncertainties, and methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f148/ed14614c8f204b18776b979ab003f75de4d8.pdf"], "doi": []}, {"id": "f7abeaf62ae5e9acbb4791dcac1dbcd6d2eef83d", "title": "Does Climate Aid Affect Emissions? Evidence from a Global Dataset", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f7ab/eaf62ae5e9acbb4791dcac1dbcd6d2eef83d.pdf"], "doi": []}, {"id": "72d8d4898aedcb21e8837dcb51a89ff9987c08ea", "title": "The Fiscal Costs of Contingent Liabilities; A New Dataset", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/72d8/d4898aedcb21e8837dcb51a89ff9987c08ea.pdf"], "doi": []}, {"id": "35756f711a97166df11202ebe46820a36704ae77", "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06434.pdf"], "doi": []}, {"id": "060ba38c61dccf3cc557796e115bdd2a6ad3bf0c", "title": "Outsourcing Medical Dataset Analysis: A Possible Solution", "year": "2017", "pdf": ["http://fc17.ifca.ai/preproceedings/paper_97.pdf", "http://www.cs.jhu.edu/~gkaptch1/publications/dataset_analysis.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-70972-7_6"]}, {"id": "a6e6c3aa033f131ab723009ba63051f9c70e12d8", "title": "\u201cIf Chemists Don\u2019t Do It, Who Is Going To?\u201d Peer-driven Occupational Change and the Emergence of Green Chemistry:", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a6e6/c3aa033f131ab723009ba63051f9c70e12d8.pdf"], "doi": []}, {"id": "dcb688f8118aa1825e9853d88709c6a90707918b", "title": "The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6c79/b202a39804d819ccd44e7edbd24f3e33d497.pdf"], "doi": []}, {"id": "9bd3b15944ac28aa7021db126e4344a478bdabf4", "title": "Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w37/papers/Dupont_Crowd-11_A_Dataset_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015005", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.271", "http://doi.org/10.1109/CVPRW.2017.271"]}, {"id": "654948d57fe8f257bdb7ab39548f141bae30776a", "title": "Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f942/55c63eba80ee41472f0c73a531c4e1889909.pdf"], "doi": []}, {"id": "63a171bd016c962c18d484996c3156c4630ae840", "title": "Classification using Convolutional Neural Network for Heart and Diabetics Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/63a1/71bd016c962c18d484996c3156c4630ae840.pdf"], "doi": []}]} \ No newline at end of file +{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "citations": [{"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "f46c3d6ff65128cebb50069d1cdaae1ec7f51b21", "title": "Mastering the game of Go without human knowledge", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/10045895/1/agz_unformatted_nature.pdf", "http://www.ics.uci.edu/~dechter/courses/ics-295/winter-2018/papers/nature-go.pdf"], "doi": ["https://doi.org/10.1038/nature24270", "https://www.ncbi.nlm.nih.gov/pubmed/29052630"]}, {"id": "3b64310dd13e71e6b192ca70c76a3ab65143614c", "title": "360-Degree Video Head Movement Dataset", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3b64/310dd13e71e6b192ca70c76a3ab65143614c.pdf"], "doi": []}, {"id": "33f5a57916ba59ed32190aaddb71c9cb366ba7f8", "title": "NewsQA: A Machine Comprehension Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09830.pdf"], "doi": []}, {"id": "ba6fc44b7068941011bd6d3bcbc53b71b5269201", "title": "Determinants of rural out-migration in Ethiopia: Who stays and who goes?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ba6f/c44b7068941011bd6d3bcbc53b71b5269201.pdf"], "doi": []}, {"id": "9ce4d5a8e2e83850552af2fed61dc76f7fcd98bc", "title": "SisFall: A Fall and Movement Dataset", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ce4/d5a8e2e83850552af2fed61dc76f7fcd98bc.pdf"], "doi": []}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "f25c8ed345e32db953e0d41a12566aefd27e373e", "title": "Who Goes Freelance? The Determinants of Self-Employment for Artists:", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f25c/8ed345e32db953e0d41a12566aefd27e373e.pdf"], "doi": []}, {"id": "a2d29bfbfdeee2d5fcee1597c9a2cab95ef068d9", "title": "Availability of datasets for digital forensics \u2013 And what is missing", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.diin.2017.06.004", "https://digitalcommons.newhaven.edu/cgi/viewcontent.cgi?article=1073&context=electricalcomputerengineering-facpubs", "https://www.dfrws.org/file/898/download?token=pPWguAZ4"]}, {"id": "a65b93c01518755291e19a0545c1a3d20e401c0a", "title": "A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.04453.pdf"], "doi": []}, {"id": "934171bccc51bd720e5713fb85042cb6344d0721", "title": "UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07688.pdf"], "doi": []}, {"id": "d52ce59b76942d7edb80119a0fe28a07ff34a4e3", "title": "Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041170"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "7d9c957c77f9e1bddd0cb8800f837ef0dd6f3a38", "title": "Who's downloading pirated papers? Everyone.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27126020", "https://doi.org/10.1126/science.352.6285.508"]}, {"id": "3e8355b608099a0d5564b6a6d8ecd8b505007251", "title": "SAMM: A Spontaneous Micro-Facial Movement Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7492264"]}, {"id": "f4b654433c53b26b71d5f39dd8ecdc4d8a2acb1f", "title": "Stereotyping and Bias in the Flickr30K Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06083.pdf"], "doi": []}, {"id": "afb6050fb54007d699cea1ebc95908a5ba8fefe9", "title": "Do They Stay or Do They Go? The Switching Decisions of Individuals Who Enter Gender Atypical College Majors.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27152062", "https://doi.org/10.1007/s11199-016-0583-4"]}, {"id": "3374241a54e2b1d4809e7957234ee22e7a112641", "title": "Who Are You? A Statistical Approach to Measuring User Authenticity", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ca73/39da09026f7cd0ff5d7f03118154f6803762.pdf"], "doi": []}, {"id": "85737c3dbfe9f98e404842f3fcab201a91933cdf", "title": "\"Don't think I'm going to leave you over it\": Accounts of changing hepatitis C status among couples who inject drugs.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28208098", "https://doi.org/10.1016/j.drugalcdep.2016.12.020"]}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "d0a648b783bbc607182573a7b54038661961dcc0", "title": "A multimodal dataset for various forms of distracted driving", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28809848", "https://doi.org/10.1038/sdata.2017.110"]}, {"id": "bc757460a9cad6fb433085d8d4eaba254b27b0d3", "title": "Standards and datasets for reporting cancers Dataset for histopathological reporting of colorectal cancer December 2017", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc75/7460a9cad6fb433085d8d4eaba254b27b0d3.pdf"], "doi": []}, {"id": "4833ba7a6a11c856b38d35b5690d9c9c9cb0688d", "title": "Embracing data abundance: BookTest Dataset for Reading Comprehension", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00956.pdf"], "doi": []}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "1c040b20cf3d58631162393fc21cebd085fe6fee", "title": "The Music Streaming Sessions Dataset", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3313641"]}, {"id": "2e19e455327176d02f9c82e43bd9638d97a9908d", "title": "A Dataset of Daily Interactive Manipulation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00858.pdf"], "doi": []}, {"id": "98d2e89722b488ae4b0850b4be9ab815459cbbce", "title": "The EUTL Transfer Dataset. Description and Insights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/98d2/e89722b488ae4b0850b4be9ab815459cbbce.pdf"], "doi": []}, {"id": "fabe35049b1b8a0be052ef8c1647e5b6cb2d8cf0", "title": "The OKCupid dataset: A very large public dataset of dating site users", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fabe/35049b1b8a0be052ef8c1647e5b6cb2d8cf0.pdf"], "doi": []}, {"id": "2088c55ec3e52a8be99cd933907020c70b281383", "title": "Mastering the game of Go with deep neural networks and tree search", "year": "2016", "pdf": ["http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf", "http://amygdala.psychdept.arizona.edu/Jclub/Silver-et-al.%20Mastering%20the%20game%20of%20Go%20with%20deep%20neural%20networks%20and%20tree%20search+Nature+2016.pdf", "http://courses.csail.mit.edu/6.803/pdf/2016%20go.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/cewu/201604121414/Mastering%20the%20game%20of%20Go%20with%20deep%20neural%20networks%20and%20tree%20search.pdf", "http://willamette.edu/~levenick/cs448/goNature.pdf", "http://www.bioinfo.org.cn/~casp/temp/alphago_slides.pdf", "http://www3.cs.stonybrook.edu/~cse634/G6present.pdf", "https://ai.arizona.edu/sites/ai/files/resources/mastering_the_game_of_go_with_deep_neural_networks_and_tree_search.pdf", "https://gogameguru.com/i/2016/03/deepmind-mastering-go.pdf", "https://instructure-uploads.s3.amazonaws.com/account_13960000000000001/attachments/1619484/alphaGo_nature.pdf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAJDW777BLV26JM2MQ/20180527/us-east-1/s3/aws4_request&X-Amz-Date=20180527T075425Z&X-Amz-Expires=86400&X-Amz-Signature=cd962810529110ff8b4da03b238cd58f1615863ea6830bbf7bb67532679173c1&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B+filename%3D%22alphaGo_nature.pdf%22%3B+filename*%3DUTF-8''alphaGo%255Fnature.pdf", "https://www.gwern.net/docs/rl/2016-silver.pdf"], "doi": ["https://doi.org/10.1038/nature16961", "https://www.ncbi.nlm.nih.gov/pubmed/26819042", "https://www.wikidata.org/entity/Q28005460"]}, {"id": "6b5f18940222bae48cacfcbb0e7c05cb6c1bb214", "title": "Kharon dataset: Android malware under a microscope", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fd9/2b068f9ca2d545b32f8c4c7b68a53539ded0.pdf"], "doi": []}, {"id": "8c5cdb0cdd1423999563ec7d93fba4623df3718a", "title": "e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01776.pdf"], "doi": []}, {"id": "88a0c58dc2d79fc1f191bafebbcb1142791873d9", "title": "Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/88a0/c58dc2d79fc1f191bafebbcb1142791873d9.pdf"], "doi": []}, {"id": "995b7affd684b910d5a1c520c3af00fd20cc39b0", "title": "DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05073.pdf"], "doi": []}, {"id": "1394ca71fc52db972366602a6643dc3e65ee8726", "title": "EmoReact: a multimodal approach and dataset for recognizing emotional responses in children", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2993168"]}, {"id": "e738d166c72513feaede2e19b4e713fd410cfce8", "title": "The KIT Motion-Language Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03827.pdf"], "doi": []}, {"id": "99d280ad48df903720cfc9f65f3f5a06b49dc337", "title": "A Recorded Debating Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06438.pdf"], "doi": []}, {"id": "92b6c7333e65f17c39d2f59fc4e16adf9c11c8ce", "title": "A Multilingual, Multi-style and Multi-granularity Dataset for Cross-language Textual Similarity Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/92b6/c7333e65f17c39d2f59fc4e16adf9c11c8ce.pdf"], "doi": []}, {"id": "a529e05211d685bbc6f80f1081e4784c325ea8d0", "title": "ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ed2b/3699731e3c828f9c3deade0f01cde11c0888.pdf"], "doi": []}, {"id": "b05f41f0b0f26293eb4551a1393fa2b80bfee2f8", "title": "An Extensive Dataset of UML Models in GitHub", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962411"]}, {"id": "931e2bb5ffd83227c8767dc12209af6a888ee71c", "title": "Rehabilitating the Color Checker Dataset for Illuminant Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12262.pdf"], "doi": []}, {"id": "5870cda9f3f8e4c812501ccea0bb57593dbbd08c", "title": "Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial", "year": "2016", "pdf": ["http://cloudfront.practiceupdate.net/zone/els.pracuponcology_UrothelialCancer/Urothelial-1_Rosenberg.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0140673616005614?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/S0140-6736%2816%2900561-4", "https://www.ncbi.nlm.nih.gov/pubmed/26952546"]}, {"id": "c946c81beb1b0022b69913d670e5b71af8393469", "title": "Vision-based ego-lane analysis system : dataset and algorithms", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c946/c81beb1b0022b69913d670e5b71af8393469.pdf"], "doi": []}, {"id": "f010affab57b5fcf1cd6be23df79d8ec98c7289c", "title": "TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03551.pdf"], "doi": []}, {"id": "e86f0f8bd42b7995abf467b3b17bded30fe9f94a", "title": "Continuous Defect Prediction: The Idea and a Related Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962410"]}, {"id": "741c33aec2a6c2c7ca8118148adad09bddaca1be", "title": "Modernizing Analytics for Melanoma with a Large-Scale Research Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102982"]}, {"id": "da6e404d8911b0e5785019a79dc8607e0b313dc4", "title": "Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03209.pdf"], "doi": []}, {"id": "5365892b23db7e8bd526441d339c9165657f7efb", "title": "MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1711.09017.pdf"], "doi": []}, {"id": "2bbd9c0192040fda1714789339fb1858e2f9215f", "title": "A Dataset of Scratch Programs: Scraped, Shaped and Scored", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962409"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "d2e98e202ebbde1de73740c58857cc6abd1c8705", "title": "A dataset of human decision-making in teamwork management", "year": "2017", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/45720/A%20dataset%20of%20human%20decision-making%20in%20teamwork%20management.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28094787", "https://doi.org/10.1038/sdata.2016.127"]}, {"id": "1912a15d4f114e6dda5074b0b2b8159572ed98c6", "title": "GEC into the future: Where are we going and how do we get there?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1912/a15d4f114e6dda5074b0b2b8159572ed98c6.pdf"], "doi": []}, {"id": "fc50c9392fd23b6c88915177c6ae904a498aacea", "title": "Scaling Egocentric Vision: The EPIC-KITCHENS Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02748.pdf"], "doi": []}, {"id": "5520acfa1f4e678f1abbaab67ec76e903c3d3bdc", "title": "SALSA: A Novel Dataset for Multimodal Group Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.06882.pdf"], "doi": []}, {"id": "67d588b251c8c354cda88f1a4557eb5e66445cfa", "title": "Evaluation of the effects of transmission impairments on perceived video quality by exploiting ReTRiEVED dataset", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1117/1.JEI.26.2.023003"]}, {"id": "e44fa58781ad3822acb6e741760ccdd9cc2465e0", "title": "Using Latent Dirichlet Allocation for Topic Modeling and Document Clustering of Dumaguete City Twitter Dataset", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3219799"]}, {"id": "0d3754156b3400b8e67bb7042be9731caa17a118", "title": "Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003\u20132013", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28350378", "https://doi.org/10.1038/sdata.2017.38"]}, {"id": "05349bc8f8fd0941b51e66c3248d9f5592fbf6d1", "title": "fine-GRAPE: fine-grained APi usage extractor \u2013 an approach and dataset to investigate API usage", "year": "2016", "pdf": ["https://pure.tudelft.nl/portal/files/13970857/9303071.pdf", "https://pure.tudelft.nl/portal/files/9303074/emse2016.pdf"], "doi": ["https://doi.org/10.1007/s10664-016-9444-6", "https://repository.tudelft.nl/islandora/object/uuid:3d0521b7-7fd4-40ab-8bc4-7109267b5ba4/datastream/OBJ/download"]}, {"id": "48904654776df4affb4703f7ed6ac0f99e8e5c5c", "title": "Is there evidence for a limit to human lifespan?", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/nature22788", "https://www.ncbi.nlm.nih.gov/pubmed/28658235"]}, {"id": "ff0be3fd179fa6ec2be4456ca8aac7c7d7384915", "title": "The dataset on post\u2010civil war power and compromise, 1990-2012", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ff0b/e3fd179fa6ec2be4456ca8aac7c7d7384915.pdf"], "doi": []}, {"id": "fa319fc1fdba8abff9d7f408f24a651a920657b1", "title": "Using Data Visualization Technique to Detect Sensitive Information Re-Identification Problem of Real Open Dataset", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858495"]}, {"id": "1f69fa423b076e19dc2ccf6bc9013f09ae39133c", "title": "Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1f69/fa423b076e19dc2ccf6bc9013f09ae39133c.pdf"], "doi": []}, {"id": "bd2c19b9d10f55c52ff81f0c536dd9f1530824a5", "title": "There Is Individualized Treatment. Why Not Individualized Inference", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.08539.pdf"], "doi": []}, {"id": "d219df43ed43e39fbb39514de38dd08704c70c9e", "title": "RDF dataset profiling - a survey of features, methods, vocabularies and applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f8b8/9c138797090b7369c2e9d929ea0889dd3426.pdf"], "doi": []}, {"id": "909f9d31d4c01eedb81e2f8db0dbc4d06d2fe76b", "title": "K-Aggregation: Improving Accuracy for Differential Privacy Synthetic Dataset by Utilizing K-Anonymity Algorithm", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7920986"]}, {"id": "aa09ade36424fd83f067f234baffde294800e705", "title": "Is a Picture Worth Ten Thousand Words in a Review Dataset?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07496.pdf"], "doi": []}, {"id": "4cde8c46ec987137d82f1b5572b4622d4ad9abcc", "title": "AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4cde/8c46ec987137d82f1b5572b4622d4ad9abcc.pdf"], "doi": []}, {"id": "e95f11e4f4d3801201b5e3aa99f9cec85d589763", "title": "Why Are There So Many Lawyers in Congress", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e95f/11e4f4d3801201b5e3aa99f9cec85d589763.pdf"], "doi": []}, {"id": "39f9cbee6436eaaed9e667ad001d6ef2851742fe", "title": "Implementation of dataset staging process with improved security in a new analysis facility for ALICE experiment", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11416-017-0308-4"]}, {"id": "f75d0d6825f06af19f04756f8f8ba3e8342b0b5f", "title": "Diabetic analytics: proposed conceptual data mining approaches in type 2 diabetes dataset", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/f75d/0d6825f06af19f04756f8f8ba3e8342b0b5f.pdf"], "doi": []}, {"id": "12e94e888a9966738c56430abff7ed7fa452221b", "title": "Getting to Know Low-light Images with The Exclusively Dark Dataset", "year": "2019", "pdf": ["https://arxiv.org/pdf/1805.11227.pdf"], "doi": []}, {"id": "827e0def212f6834d615e4f3f25b55fe27f6460d", "title": "Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/827e/0def212f6834d615e4f3f25b55fe27f6460d.pdf"], "doi": []}, {"id": "9cf2e4ce514ac950be0a95d6b5af501f031f7783", "title": "MGH\u2013USC Human Connectome Project datasets with ultra-high b-value diffusion MRI", "year": "2016", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811915007983?dgcid=api_sd_search-api-endpoint", "https://andl.wjh.harvard.edu/download/file/fid/511", "https://doi.org/10.1016/j.neuroimage.2015.08.075", "https://www.ncbi.nlm.nih.gov/pubmed/26364861", "https://www.wikidata.org/entity/Q35771881"]}, {"id": "629a9a0725ac32793087405fad6cecc1acfec77c", "title": "Generating Differentially Private Datasets Using GANs", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/629a/9a0725ac32793087405fad6cecc1acfec77c.pdf"], "doi": []}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "db01b61c60026346d50b862667ac696844b966f9", "title": "Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db01/b61c60026346d50b862667ac696844b966f9.pdf"], "doi": []}, {"id": "dc3842bf3eb79a9f1c0f1e581fb917031e8ad984", "title": "Development of South Australian-Victorian Prostate Cancer Health Outcomes Research Dataset", "year": "2016", "pdf": ["https://bmcresnotes.biomedcentral.com/track/pdf/10.1186/s13104-016-1855-3", "https://dspace.flinders.edu.au/xmlui/bitstream/handle/2328/36179/Ruseckaite_Development_P2016.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1186/s13104-016-1855-3", "https://www.ncbi.nlm.nih.gov/pubmed/26801762"]}, {"id": "bafa0a3a4aa778e8e8bbcd35cf9bd32c7887d4b9", "title": "The Multimodal Study of Blended Learning Using Mixed Sources: Dataset and Challenges of the SpeakUp Case", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bafa/0a3a4aa778e8e8bbcd35cf9bd32c7887d4b9.pdf"], "doi": []}, {"id": "5b0f10384ecff9e98756dff2246549539fd09f39", "title": "The CBR-LRI Dataset: Methods, Properties and Potential of Leximetric Coding of Labour Laws", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b0f/10384ecff9e98756dff2246549539fd09f39.pdf"], "doi": []}, {"id": "438df182c0d174be8af9fc08d5e7bb0cdc7477e3", "title": "The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3154925"]}, {"id": "96342f678949bcae35eabda3cfafeb0d0abe1d32", "title": "Performance of Snort on DARPA Dataset and different False Alert Reduction techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9634/2f678949bcae35eabda3cfafeb0d0abe1d32.pdf"], "doi": []}, {"id": "5e9c9d0164ae041786f8fdc5726da12403e91a6c", "title": "Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06975.pdf"], "doi": []}, {"id": "50b3489c7978cb399d4f3b3a1648a579918d1acc", "title": "The French Mus\u00e9um national d\u2019histoire naturelle vascular plant herbarium collection dataset", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28195585", "https://doi.org/10.1038/sdata.2017.16"]}, {"id": "552d6d29deb08d765d6e1187b75d96b33ca478d9", "title": "Self-Guiding Multimodal LSTM - when we do not have a perfect training dataset for image captioning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05038.pdf"], "doi": []}, {"id": "e5c67abf455acbd9a8b1dba53e163cb5bf3e96bd", "title": "Mobile Social Big Data: WeChat Moments Dataset, Network Applications, and Opportunities", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8315229"]}, {"id": "1a5b97d9105f885565f28b658991d0e0e6095f14", "title": "ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a5b/97d9105f885565f28b658991d0e0e6095f14.pdf"], "doi": []}, {"id": "b0a1b8139a1cfd19e9e6ce527481750acb49d952", "title": "Presenting a labelled dataset for real-time detection of abusive user posts", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3106456"]}, {"id": "54c0c35560beac2b37026d6e479b0b793a4a8b3e", "title": "Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/84ef/8bb73c93789ada648547380ce4522fe38a1d.pdf"], "doi": []}, {"id": "5b1d78b160560db5f581e65289ce5e2f99eb9b1f", "title": "Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.06618.pdf"], "doi": []}, {"id": "bda8ec0c7a71bd4b88db6c7e7e73e8b74ca4ac3b", "title": "Making of a solar spectral irradiance dataset I: observations, uncertainties, and methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f148/ed14614c8f204b18776b979ab003f75de4d8.pdf"], "doi": []}, {"id": "f7abeaf62ae5e9acbb4791dcac1dbcd6d2eef83d", "title": "Does Climate Aid Affect Emissions? Evidence from a Global Dataset", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f7ab/eaf62ae5e9acbb4791dcac1dbcd6d2eef83d.pdf"], "doi": []}, {"id": "72d8d4898aedcb21e8837dcb51a89ff9987c08ea", "title": "The Fiscal Costs of Contingent Liabilities; A New Dataset", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/72d8/d4898aedcb21e8837dcb51a89ff9987c08ea.pdf"], "doi": []}, {"id": "35756f711a97166df11202ebe46820a36704ae77", "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06434.pdf"], "doi": []}, {"id": "dcb688f8118aa1825e9853d88709c6a90707918b", "title": "The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6c79/b202a39804d819ccd44e7edbd24f3e33d497.pdf"], "doi": []}, {"id": "9bd3b15944ac28aa7021db126e4344a478bdabf4", "title": "Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w37/papers/Dupont_Crowd-11_A_Dataset_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015005", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.271", "http://doi.org/10.1109/CVPRW.2017.271"]}, {"id": "63a171bd016c962c18d484996c3156c4630ae840", "title": "Classification using Convolutional Neural Network for Heart and Diabetics Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/63a1/71bd016c962c18d484996c3156c4630ae840.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/unknown/yfcc_100m.json b/site/datasets/unknown/yfcc_100m.json index f7a584a7..89f4e88d 100644 --- a/site/datasets/unknown/yfcc_100m.json +++ b/site/datasets/unknown/yfcc_100m.json @@ -1 +1 @@ -{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "citations": [{"id": "c63f31a938944f55027808fb9afd4d6e0b8b645e", "title": "Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04658.pdf"], "doi": []}, {"id": "5e8966e332a8cfc587fc116f71b97d6412a4472d", "title": "SoundNet: Learning Sound Representations from Unlabeled Video", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.09001.pdf"], "doi": []}, {"id": "90443ec362dc553f29fbf824b4d13fd7f26f2a32", "title": "A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bcf4/b1acf67d318ea55ad9f1d6d9f82793727867.pdf"], "doi": []}, {"id": "2fc8f46ed3e679fa50ecddd7e394235d6b983b4e", "title": "AudioPairBank : towards a large-scale tag-pair-based audio content analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/74cf/619bd11cf6733838892f43338c9f7ffce079.pdf"], "doi": []}, {"id": "39c6897ed1a7157cd8370f2b9269f9cfc477d64b", "title": "Intent-Aware Diverse Social Image Retrieval", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/39c6/897ed1a7157cd8370f2b9269f9cfc477d64b.pdf"], "doi": []}, {"id": "b7216846c743d94fcd43e1b543c9d16ae11d3c48", "title": "Engaging Image Chat: Modeling Personality in Grounded Dialogue", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00945.pdf"], "doi": []}, {"id": "96f4d4fc345698b9b44f034c0d63b704772c8386", "title": "Deep Learning is Robust to Massive Label Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10694.pdf"], "doi": []}, {"id": "a42eb9e4c2506640446f07df3a9a0134752b00da", "title": "Domain Adaptive Transfer Learning with Specialist Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07056.pdf"], "doi": []}, {"id": "fbe107b6e3437ffe33243480005c815eba3e02f9", "title": "Granularity-based interactive image display", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297157", "http://doi.org/10.1109/ICIP.2017.8297157"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "414920f15379a60bb4625405c85456c98e836f52", "title": "A High-Level DSL for Geospatial Visualizations with Multi-core Parallelism Support", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8029621", "http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2017.18", "http://doi.org/10.1109/COMPSAC.2017.18"]}, {"id": "1fd2655fd69a44bd9ca0d855521247d5620d3f82", "title": "Multi-modal Geolocation Estimation Using Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09458.pdf"], "doi": []}, {"id": "c06447df3e50ec451240205cefa0708caee8ab8c", "title": "Picture it in your mind: generating high level visual representations from textual descriptions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.07287.pdf"], "doi": []}, {"id": "e9c9da57bbf9a968489cb90ec7252319bcab42fb", "title": "Hard Mixtures of Experts for Large Scale Weakly Supervised Vision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06363.pdf"], "doi": []}, {"id": "c7fde641178549bbd1860144138bffdc9e800540", "title": "Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02530.pdf"], "doi": []}, {"id": "df3fb59479422f82f1c2c6111392e6b425f928a7", "title": "An Interactive Points of Interest Guidance System", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3040983"]}, {"id": "ea3e3f62be20b9b11994a6308c79a286725db116", "title": "DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04378.pdf"], "doi": []}, {"id": "5ea18f4f13835ea3413646ed676cdff411ff0c75", "title": "Deep permutations: Deep convolutional neural networks and permutation-based indexing", "year": "2016", "pdf": ["http://www.nmis.isti.cnr.it/falchi/Draft/2016-SISAP-DeepPermutations-DRAFT.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46759-7_7"]}, {"id": "4e444db884b5272f3a41e4b68dc0d453d4ec1f4c", "title": "Learning without prejudice: Avoiding bias in webly-supervised action recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.04589.pdf"], "doi": []}, {"id": "eb7ac897c17003fa3d4b297c3a7937aa7b69f776", "title": "2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573120", "http://doi.org/10.1109/ACCESS.2018.2885818"]}, {"id": "0321d183932ff1353d59e418847ff5bf8f5df5d2", "title": "Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0321/d183932ff1353d59e418847ff5bf8f5df5d2.pdf"], "doi": []}, {"id": "e60f58a4ea68d8f961b5d110329653b398fe5ec2", "title": "Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccfe/05ab52712533055558d0d53effa2be3eef6b.pdf"], "doi": []}, {"id": "95e82cf57bc67a386da57049453e6ee29cba1487", "title": "Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09915.pdf"], "doi": []}, {"id": "67da607541b8e380c1665c2158e5e0dd4a6f0e49", "title": "Learning to Localize Sound Source in Visual Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03849.pdf"], "doi": []}, {"id": "40000b058cf80b7983a2c0f96562368a40a04580", "title": "Predicting human mobility through the assimilation of social media traces into mobility models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04560.pdf"], "doi": []}, {"id": "1267eae42798940c105355a9590363fb6560595b", "title": "From Coarse to Fine: Robust Hierarchical Localization at Large Scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03506.pdf"], "doi": []}, {"id": "5db46dda9f0f08220d49a5db1204f149bd4f6a4a", "title": "Engaging Image Captioning Via Personality", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10665.pdf"], "doi": []}, {"id": "71424a706a2e4b9bc5fd049aefe83d73873c0145", "title": "How Unlabeled Web Videos Help Complex Event Detection?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0a97/7dbcd160cfcd87e3d9cd75679c326c2c0dc2.pdf"], "doi": []}, {"id": "ef94ea8847cba51537a3df8f107cecb1286e1242", "title": "Indexing 100M Images with Deep Features and MI-File.", "year": "2016", "pdf": ["http://ceur-ws.org/Vol-1653/paper_8.pdf"], "doi": []}, {"id": "bd825db9d9cdd0026a991a6652e8a4541c85c6b4", "title": "PROMPT: Personalized User Tag Recommendation for Social Media Photos Leveraging Personal and Social Contexts", "year": "2016", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/personalizedusertagrecommendation-ism2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823676", "http://doi.ieeecomputersociety.org/10.1109/ISM.2016.0109", "http://doi.org/10.1109/ISM.2016.0109"]}, {"id": "5feb32a73dd1bd9e13f84a7b3344497a5545106b", "title": "FastText.zip: Compressing text classification models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.03651.pdf"], "doi": []}, {"id": "4f48c8653cd38cd18f08924c9304bc02ed7ea492", "title": "Learning from Noisy Labels with Distillation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02391.pdf"], "doi": []}, {"id": "bb39dabdbd18a241f0c06c54fc21e967d7217665", "title": "Consensus Maximization with Linear Matrix Inequality Constraints", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Speciale_Consensus_Maximization_With_CVPR_2017_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01380.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100019", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.536", "http://doi.org/10.1109/CVPR.2017.536"]}, {"id": "3e3ce21b1ef9e4c7199522d2c923e3771dbae930", "title": "EXT . ZIP : C OMPRESSING TEXT CLASSIFICATION MODELS", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e3c/e21b1ef9e4c7199522d2c923e3771dbae930.pdf"], "doi": []}, {"id": "6e9680fe35a752590ad2d750ba1aa2b387cba135", "title": "Low-Shot Learning with Large-Scale Diffusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.02332.pdf"], "doi": []}, {"id": "6e7cfcefe82471a6aca78b59be0285467ce37b8b", "title": "D\u00e9j\u00e0 Vu: an empirical evaluation of the memorization properties of ConvNets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06396.pdf"], "doi": []}, {"id": "2cbb8de53759e75411bc528518947a3094fbce3a", "title": "Billion-scale similarity search with GPUs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08734.pdf"], "doi": []}, {"id": "c546010dd1547a8b904ac9d19c0b4e929a45c8d0", "title": "E-Tourism: Mobile Dynamic Trip Planner", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823611", "http://doi.ieeecomputersociety.org/10.1109/ISM.2016.0044", "http://doi.org/10.1109/ISM.2016.0044"]}, {"id": "fac96b94671bd34c493db2a74254794786e7013a", "title": "Image Retrieval using Heat Diffusion for Deep Feature Aggregation", "year": "2018", "pdf": [], "doi": []}, {"id": "571b04fc6e624b730f9c924e33a2cf6ea8049992", "title": "Towards an Understanding of Our World by GANing Videos in the Wild", "year": "2017", "pdf": [], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "5c8ad080ccb3f5e3c999c2948029f0bd005d5635", "title": "Engaging Image Captioning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5c8a/d080ccb3f5e3c999c2948029f0bd005d5635.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "3fd6503c5c5cfb2303dbf0844206221882180d7a", "title": "Windsurf : the best way to SURF ( and SIFT / BRISK / ORB / FREAK , too )", "year": "2017", "pdf": [], "doi": []}, {"id": "d3219d8213b26e75141d53e802b5bca3d89a4e60", "title": "Revisiting IM2GPS in the Deep Learning Era", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04838.pdf"], "doi": []}, {"id": "c48ec3d14a223346bb50002176e9a04bfb385cc7", "title": "Fuzzy Modelling for Human Dynamics Based on Online Social Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c48e/c3d14a223346bb50002176e9a04bfb385cc7.pdf"], "doi": []}, {"id": "76477d6f415a27938bdebd3f7de5a7c3328de8b3", "title": "Semi-supervised learning on large-scale geotagged photos for situation recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2017.07.005"]}, {"id": "434c2c53af7b3cb3c0a47583a372fa3dc8143951", "title": "DeeSIL: Deep-Shallow Incremental Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06396.pdf"], "doi": []}, {"id": "e68c133947bbf14834f5353126ae85cc048642db", "title": "A Memory Network Approach for Story-Based Temporal Summarization of 360\u00b0 Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578251"]}, {"id": "97a25752c91538ae0d9d1f5db5ae97e2719b528f", "title": "Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/97a2/5752c91538ae0d9d1f5db5ae97e2719b528f.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "651e0593e76f6b536dae32337b4b9067d09f0796", "title": "MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels", "year": "2017", "pdf": [], "doi": []}, {"id": "9a7c1562ed9a4be74ba3b02046469f8b32b9c02f", "title": "Edge-Based Discovery of Training Data for Machine Learning", "year": "2018", "pdf": ["http://elijah.cs.cmu.edu/DOCS/eureka2018-CAMERA-READY.pdf", "http://elijah.cs.cmu.edu/DOCS/feng-sec2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567663", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00018", "http://doi.org/10.1109/SEC.2018.00018"]}, {"id": "40be718f23c163f12f88384a9ceb703578f89af4", "title": "Itinerary Recommendation for Cruises: User Study", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dfcc/db05f4c7433776470f823a5722c7689a37ed.pdf"], "doi": []}, {"id": "655f587a59c835a7b6b5017016ea1c2123f266e6", "title": "Separating Self-Expression and Visual Content in Hashtag Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09825.pdf"], "doi": []}, {"id": "138f079382e2802f3c98c4c81218d413472c6d53", "title": "Large Scale Deep Convolutional Neural Network Features Search with Lucene", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09687.pdf"], "doi": []}, {"id": "d722ba2da54680a9add7db0e6cce2ce5ec5ab68f", "title": "Deep Feature Aggregation with Heat Diffusion for Image Retrieval.", "year": "2018", "pdf": [], "doi": []}, {"id": "6d2892f82a89bfc81f9924adb8bd070fe007adf7", "title": "Generating the Future with Adversarial Transformers", "year": "2017", "pdf": ["http://carlvondrick.com/transformer.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Vondrick_Generating_the_Future_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099802", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.319", "http://doi.org/10.1109/CVPR.2017.319"]}, {"id": "d7b10dc90288c6b4b41c77624f2805f4123e8f8b", "title": "Intelligence on tap: artificial intelligence as a new design material", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3085571"]}, {"id": "2cfdf540840a983907e957aacf68b405214c721c", "title": "Can We Predict the Scenic Beauty of Locations from Geo-tagged Flickr Images?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03506.pdf"], "doi": []}, {"id": "3233340bbb770187cc870f01755a658d3ae92396", "title": "A Classification approach towards Unsupervised Learning of Visual Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00428.pdf"], "doi": []}, {"id": "9976b88d15f89b6c82b16564735d489a7524821d", "title": "Learning Visual N-Grams from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09161.pdf"], "doi": []}, {"id": "a1543975098f8ec14f4402f761eefb473100beee", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "87a937dff0ecffefd8a7e4ca4ce068aca9731a0a", "title": "Embracing Error to Enable Rapid Crowdsourcing", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04506.pdf"], "doi": []}, {"id": "b52ba1473c63e67031bb356151762477f99f3241", "title": "V 3 C \u2013 a Research Video Collection", "year": "2018", "pdf": [], "doi": []}, {"id": "53078a5692d493685fd2d63abf297a39b2edb36d", "title": "Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11285.pdf"], "doi": []}, {"id": "12b58a712396bc2fd74cd19a4d758d7b9c104c3f", "title": "Cross-Domain Recommendation in the Hotel Sector", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/12b5/8a712396bc2fd74cd19a4d758d7b9c104c3f.pdf"], "doi": []}, {"id": "ea5b90931a6e3d0801c1862aaafd42c5127fd83e", "title": "Similarity Join and Self-Join Size Estimation in a Streaming Environment", "year": "2018", "pdf": [], "doi": []}, {"id": "9baf01eb53abda6a169110477f2c7a3492559368", "title": "Learning and Using the Arrow of Time", "year": "2018", "pdf": ["http://aot.csail.mit.edu/pdf/arxiv_0618.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Learning_and_Using_CVPR_2018_paper.pdf", "http://people.csail.mit.edu/donglai/paper/aot18.pdf", "https://www.robots.ox.ac.uk/~vgg/publications/2018/Wei18/wei18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578938", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00840", "http://doi.org/10.1109/CVPR.2018.00840", "https://vcg.seas.harvard.edu/publications/learning-and-using-the-arrow-of-time/paper", "https://vcg.seas.harvard.edu/publications/learning-and-using-the-arrow-of-time/supplementary-material"]}, {"id": "04384fc1b67e3fc6553aea9299589d33faede5a6", "title": "Personalizable and Interactive Sequence Recommender System", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3188506"]}, {"id": "c2e8f68f31a1cb75241e84d61f26263ff8904374", "title": "Geotagging Flickr Photos And Videos Using Language Models.", "year": "2016", "pdf": ["http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_32.pdf"], "doi": []}, {"id": "25a162aa22493a198e460f6be023d64d3b36dddd", "title": "Transfer Learning From Sound Representations For Anger Detection in Speech", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02120.pdf"], "doi": []}, {"id": "432a78fce47e2cc38fd742ab10cf80dec82ad49a", "title": "Boost K-Means", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02483.pdf"], "doi": []}, {"id": "c141b7c4ccb4a0e5d2a327aa260b318c7c3bcfbb", "title": "Real-Time Adaptive Image Compression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05823.pdf"], "doi": []}, {"id": "d2f698591d8c7da36a2a265605e98e714d6b678a", "title": "Posterior Sampling for Large Scale Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07979.pdf"], "doi": []}, {"id": "e70ebb9971b1fece8760293e61ed42e2372b1d19", "title": "An Evaluation of Large-scale Methods for Image Instance and Class Discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02898.pdf"], "doi": []}, {"id": "48e361ac15c9c048ef20fbc8a60c21f0ef3e6885", "title": "WISC at MediaEval 2017: Multimedia Satellite Task.", "year": "2017", "pdf": ["http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_12.pdf", "http://www.zubiaga.org/publications/files/wisc-mediaeval-2017.pdf"], "doi": []}, {"id": "5e9f01b44ffda34356dc15451098d6311335d7ae", "title": "Efficient Large-Scale Multi-Modal Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02892.pdf"], "doi": []}, {"id": "f2d2dd3db244dcbc6fb32ff9c01ed0cdeb3fd437", "title": "Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.03681.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "40cf7b70c1b4e04c236a9997139c924d2292f505", "title": "Deep Determinantal Point Process for Large-Scale Multi-label Classification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xie_Deep_Determinantal_Point_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237321", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.59", "http://doi.org/10.1109/ICCV.2017.59"]}, {"id": "ec2a887e02237e0b221b721eedac14254ec681cf", "title": "Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08587.pdf"], "doi": []}, {"id": "1fc80a5bcbabaffc738222fa7381c75bf81d6ca8", "title": "The Placing Task at MediaEval 2016", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9388/2d6642f3a7b7f3b766761e0a91379ff306e9.pdf"], "doi": []}, {"id": "353436c53928bd999971694314a6f4ac80a196ac", "title": "Speeding up the k\u00f6hler's method of contrast thresholding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05062.pdf"], "doi": []}, {"id": "9036f47a3d2aa6800ca50813846de8bd79f9cf4f", "title": "Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage", "year": "2018", "pdf": ["https://redwood.berkeley.edu/wp-content/uploads/2018/03/zarcone2018joint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8416587", "http://doi.org/10.1109/DCC.2018.00023"]}, {"id": "40a2287feb202e82634c225675c838d4f8875658", "title": "GeoTrie: A scalable architecture for location-temporal range queries over massive geotagged data sets", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7778584", "http://doi.ieeecomputersociety.org/10.1109/NCA.2016.7778584", "http://doi.org/10.1109/NCA.2016.7778584"]}, {"id": "1e17202d6de18d5e1965edce5fee79744b717d0b", "title": "MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08681.pdf"], "doi": []}, {"id": "d1ade6a8c3a4c929efb70810a171c62a39e6f195", "title": "Review on Latest Approaches used in Natural Language Processing for Generation of Image Captioning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1ad/e6a8c3a4c929efb70810a171c62a39e6f195.pdf"], "doi": []}, {"id": "089ad31ad5eef41bd179bb0a142d3386a8de5564", "title": "Continuous memories for representing sets of vectors and image collections. (M\u00e9moires continues repr\u00e9sentant des ensembles de vecteurs et des collections d'images)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e2e6/69e99949e1be72cd4bf0ac88ea89a391324e.pdf"], "doi": []}, {"id": "7ba0bf9323c2d79300f1a433ff8b4fe0a00ad889", "title": "VideoMCC: a New Benchmark for Video Comprehension", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07373.pdf"], "doi": []}, {"id": "4cea60c30d404abfd4044a6367d436fa6f67bb89", "title": "ConTagNet: Exploiting User Context for Image Tag Recommendation", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984068"]}, {"id": "f11acabdc1aa9fb8917431268f85746b88d88c32", "title": "LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers", "year": "2018", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/2018_CVPR.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Baraldi_LAMV_Learning_to_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578912", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00814", "http://doi.org/10.1109/CVPR.2018.00814"]}, {"id": "2e68190ebda2db8fb690e378fa213319ca915cf8", "title": "Generating Videos with Scene Dynamics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02612.pdf"], "doi": []}, {"id": "38d26057acdae8d66378db4b1a2fbebed0a14f27", "title": "Similarity Join and Similarity Self-Join Size Estimation in a Streaming Environment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03313.pdf"], "doi": []}, {"id": "beeeade98988e55afe81faaedf06dc00848ec751", "title": "ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09568.pdf"], "doi": []}, {"id": "12cd96a419b1bd14cc40942b94d9c4dffe5094d2", "title": "Leveraging Captions in the Wild to Improve Object Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12cd/96a419b1bd14cc40942b94d9c4dffe5094d2.pdf"], "doi": []}, {"id": "aef55af11d8ecaeaf4c13ed765e74a3471ce9b7c", "title": "Probabilistic Video Generation Using Holistic Attribute Control", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08085.pdf"], "doi": []}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "454639ed30a2d336ea976c53b9fe851acbedb7fd", "title": "Large-Scale Deep Learning on the YFCC100M Dataset", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.03409.pdf"], "doi": []}, {"id": "5cdc02ed9f456219369fe3115321564c9955b9ae", "title": "Real-time Analysis and Visualization of the YFCC 100 m Dataset", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5cdc/02ed9f456219369fe3115321564c9955b9ae.pdf"], "doi": []}, {"id": "023cc7f9f3544436553df9548a7d0575bb309c2e", "title": "Bag of Tricks for Efficient Text Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.01759.pdf"], "doi": []}, {"id": "b538999f458a12df98d197befcc4426525cf8237", "title": "Efficient Indexing of Billion-Scale Datasets of Deep Descriptors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780595"]}, {"id": "6c22c00c645a45665049bc43089159685ac57452", "title": "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00029.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "0825788b9b5a18e3dfea5b0af123b5e939a4f564", "title": "Glove: Global Vectors for Word Representation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1baa/3f4fda7c92600a5c192adaed80a834d13ff9.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "023dfda497ca5ecbe1aa03843bc4e85621c26e8d", "title": "What makes ImageNet good for transfer learning?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08614.pdf"], "doi": []}, {"id": "10a285260e822b49023c4324d0fbbca7df8e128b", "title": "Objects2action: Classifying and Localizing Actions without Any Video Example", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.06939.pdf"], "doi": []}, {"id": "82ab819815c86e85128a2a055a0c0fcd1146b696", "title": "Sampled Image Tagging and Retrieval Methods on User Generated Content", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06962.pdf"], "doi": []}, {"id": "a428116db2323057baa35cc79da404606bf6c280", "title": "Towards Unified Data and Lifecycle Management for Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7930008"]}, {"id": "6354b0dc8f0f7326133c4a275e1d3988747473a9", "title": "Retrieving Social Flooding Images Based on Multimodal Information", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a945/33178e89871c2be210eb0634023861378509.pdf"], "doi": []}, {"id": "c8bcc9cb6dda08678351cc294319650d7bb31fb0", "title": "Image Captioning in the Wild: How People Caption Images on Flickr", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132522"]}, {"id": "1d033b30f38642e4b6dd146bb8b464bfb58aad96", "title": "Deep Clustering for Unsupervised Learning of Visual Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05520.pdf"], "doi": []}, {"id": "747b15ecd9a9e28bbd733527c59e5dd0aa5de7a1", "title": "Learning Visual Features from Large Weakly Supervised Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02251.pdf"], "doi": []}, {"id": "1275125b71b999b7c49bc554c6ec404a764eb299", "title": "HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410671"]}, {"id": "6e35585eb37ee8a1de60a10a56a3183af480e214", "title": "The YLI-MED Corpus: Characteristics, Procedures, and Plans", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.04250.pdf"], "doi": []}, {"id": "a0838dd4c8037b2fc5e9498a8d53797719628048", "title": "TRECVID 2017: Evaluating Ad-hoc and Instance Video Search, Events Detection, Video Captioning, and Hyperlinking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a083/8dd4c8037b2fc5e9498a8d53797719628048.pdf"], "doi": []}, {"id": "6eb5f375d67dd690ec3b134de7caecde461e8c72", "title": "Learning to detect concepts from webly-labeled video data", "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/250.pdf", "http://www.cs.cmu.edu/~lujiang/camera_ready_papers/IJCAI_2016.pdf", "https://www.ijcai.org/Proceedings/16/Papers/250.pdf"], "doi": ["http://www.ijcai.org/Abstract/16/250"]}, {"id": "63569084eca9ddf60cc0ff27d0155042433cb654", "title": "Classification of Architectural Heritage Images Using Deep Learning Techniques", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a1c/4e75c74b715fcc0903a044c4f7aa3d3bbf1c.pdf"], "doi": []}, {"id": "10480a42957a8e08e4c543185e135d7c254583a5", "title": "Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100042"]}, {"id": "00281e4eb219276be3dd890c49106cb8b74c9efa", "title": "Improving Image Classification with Location Context", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410478"]}, {"id": "b0c0f836cb96de1f06eeb95ebfe2af1e5f9a7371", "title": "Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237738"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "41c836c70acdb9890b1b8e9affa1b12e60a9bbcf", "title": "Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578615"]}, {"id": "c588c89a72f89eed29d42f34bfa5d4cffa530732", "title": "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01734.pdf"], "doi": []}, {"id": "901e8381aae4b1fbb0d4dcef714d39fbf02f9681", "title": "Learning to Find Good Correspondences", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578380"]}, {"id": "15c23faedb0b03b94f2ca5c6e39380c5b51f869c", "title": "CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02130.pdf"], "doi": []}, {"id": "ed310dfcc22a20ad469a5bfae9e0cd9caaa238e7", "title": "A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014971"]}, {"id": "dc99e69e32b953f9d2a64b085ee5a875bb82bcbd", "title": "WISC at MediaEval 2017: Multimedia Satellite Task", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/48e3/61ac15c9c048ef20fbc8a60c21f0ef3e6885.pdf"], "doi": []}, {"id": "981fef7155742608b8b6673f4a9566158b76cd67", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": [], "doi": []}, {"id": "c53e6fb2c2b01818c150720f3e818f627cbc7749", "title": "New avenues in knowledge bases for natural language processing", "year": "2016", "pdf": ["http://sentic.net/kbnlp.pdf"], "doi": ["https://doi.org/10.1016/j.knosys.2016.07.025", "https://www.wikidata.org/entity/Q57727615"]}, {"id": "2814c1f23bc57c76fd3ef499483995c3e919c50c", "title": "Predicting floods with Flickr tags", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2814/c1f23bc57c76fd3ef499483995c3e919c50c.pdf"], "doi": []}, {"id": "0c60eebe10b56dbffe66bb3812793dd514865935", "title": "Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1502.07209.pdf"], "doi": []}, {"id": "5d394ba6303fde04287cf55bcef11379dd28c82c", "title": "Web-Scale Image Clustering Revisited", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410533"]}, {"id": "7f6061c83dc36633911e4d726a497cdc1f31e58a", "title": "YouTube-8M: A Large-Scale Video Classification Benchmark", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.08675.pdf"], "doi": []}, {"id": "970a4cb3595493dd8ca29d32488218540f9baeec", "title": "Large-Scale Video Classification with Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2014.223"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "b4fbcf9413f7b4d629d5279fbb6e22ddb0b4a450", "title": "Multi-Object Detection in Traffic Scenes Based on Improved SSD", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4fb/cf9413f7b4d629d5279fbb6e22ddb0b4a450.pdf"], "doi": []}, {"id": "8aef28e7cb1bc464e5c5def67eaf8c308813d192", "title": "FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aef/28e7cb1bc464e5c5def67eaf8c308813d192.pdf"], "doi": []}, {"id": "5393ed3ec3c7a8a02b093569c757414d3279ff93", "title": "Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07584.pdf"], "doi": []}, {"id": "046111bd2dfc057182e0b995110a5705b572c819", "title": "Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07271.pdf"], "doi": []}, {"id": "be1a67cf11561b3d4491022ea9b4358f2b52e530", "title": "Ubiquitous Multimedia: Emerging Research on Multimedia Computing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5b9c/12b3f1e98f04be1b810f8cfb9899b1b7f2b8.pdf"], "doi": []}, {"id": "4cf74aaae29f9dfbee612d003f14171b2220f81a", "title": "Know2Look: Commonsense Knowledge for Visual Search", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fcf8/0404707ba45c2705d12e4a05e8c90295b1fe.pdf"], "doi": []}, {"id": "d983231cc90305e0802e797f74de2b816b90750c", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "ca787881403c67c07cbeaeec21beba7d27d271b0", "title": "Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01278.pdf"], "doi": []}, {"id": "f393440a6918ff26747649d6738dfb7b86215f45", "title": "Context-aware clustering and assessment of photo collections", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092916"]}, {"id": "34300a660914c563fc56089251222ba099dbffe2", "title": "A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8234557"]}, {"id": "e254e505d9ee27c51968dcf8552d8b7046f351fb", "title": "Large-Scale Image Geo- Tagging Using Affective Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600042"]}, {"id": "d184ef9a777e9be1a7496d7334e56fb4832840d9", "title": "Adaptive Monte-Carlo Optimization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08321.pdf"], "doi": []}, {"id": "ea69c62f4f92f4a9de64d62dd5176e5332926c24", "title": "A global assessment of tourism and recreation conservation threats to prioritise interventions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08399.pdf"], "doi": []}, {"id": "413bd84c4dbc3d5d1481d58a03e5890e1474935e", "title": "Siamese Instance Search for Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780527"]}, {"id": "82ac7468898ba3ab724a848a89c1062e5d45636d", "title": "Sentic API: A common-sense based API for concept-level sentiment analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/82ac/7468898ba3ab724a848a89c1062e5d45636d.pdf"], "doi": []}, {"id": "4f3f7ca469065b6c42e0882689ef79aeb72e9956", "title": "Similarity Search and Applications", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-02224-2"]}, {"id": "b67cba01bf93685992366cbc675065c40949c3ba", "title": "Design and Implementation of a Distributed System for Content-Based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b67c/ba01bf93685992366cbc675065c40949c3ba.pdf"], "doi": []}, {"id": "0e790522e68e44a5c99515e009049831b15cf29f", "title": "Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos", "year": "2014", "pdf": ["http://www.cs.cmu.edu/~epxing/papers/2014/Kim_Xing_cvpr14a.pdf", "http://www.cs.cmu.edu/~gunhee/publish/cvpr14_storygraph_poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kim_Reconstructing_Storyline_Graphs_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909891", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.496", "http://doi.org/10.1109/CVPR.2014.496", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1151&context=machine_learning"]}, {"id": "88a43d4c9f0eec09e6b6dff1c41196b1c305c5cb", "title": "Deep Representation Learning for Metadata Verification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638313"]}, {"id": "289c62c5286745cb94d52ecae9f087db4cca3bf3", "title": "Unsupervised Representation Learning with Clustering in Deep Convolutional Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/289c/62c5286745cb94d52ecae9f087db4cca3bf3.pdf"], "doi": []}, {"id": "a40e3e909efc763d4a34ee1b73c8d3495074053d", "title": "A C 3 D-based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot Chengjiang", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0b89/b5e6282d842daecf20055bcc8bd7f39cbed8.pdf"], "doi": []}, {"id": "fe0a26aa8ab52db14499751bdeb090f8f4fc2c03", "title": "UvA-DARE ( Digital Academic Repository ) Pooling Objects for Recognizing Scenes without Examples", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5ca6/c1af415994d390010143c23f1e77113baca6.pdf"], "doi": []}, {"id": "deac0e8c340c63f3a9434f88f20349321b161a74", "title": "UvA-DARE ( Digital Academic Repository ) Objects 2 action : Classifying and localizing actions without", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/deac/0e8c340c63f3a9434f88f20349321b161a74.pdf"], "doi": []}, {"id": "dc42c6130c15f6429f4500718d7c2892d9733e20", "title": "UvA-DARE ( Digital Academic Repository ) Objects 2 action : Classifying and localizing actions without any video example", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef23/aafd17019e4e6ee25a62d9e290840e3777f5.pdf"], "doi": []}, {"id": "88ee291cf1f57fd0f4914a80b986a08a90d887f1", "title": "Billion-scale semi-supervised learning for image classification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00546.pdf"], "doi": []}, {"id": "fddc2dfbe415a3646fe0c837798eb4a500df9180", "title": "Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fddc/2dfbe415a3646fe0c837798eb4a500df9180.pdf"], "doi": []}, {"id": "8f19553b81c8a93f199f89533c2185dd35c02709", "title": "How Geotagged Social Media Can Inform Modern Travelers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f19/553b81c8a93f199f89533c2185dd35c02709.pdf"], "doi": []}, {"id": "b1dd487deb2bf000f5f6b5f1a11cae43ff2db040", "title": "Tag refinement based on multilingual tag hierarchies extracted from image folksonomy", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296497"]}, {"id": "ccc4b1a0ff1d85e5cd6d7247ddd1c16ab10e8145", "title": "Freesound Datasets: A Platform for the Creation of Open Audio Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccc4/b1a0ff1d85e5cd6d7247ddd1c16ab10e8145.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "35734e8724559fb0d494e5cba6a28ad7a3d5dd4d", "title": "Explaining and Harnessing Adversarial Examples", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6572.pdf"], "doi": []}, {"id": "ca37eda56b9ee53610c66951ee7ca66a35d0a846", "title": "Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ca37/eda56b9ee53610c66951ee7ca66a35d0a846.pdf"], "doi": []}, {"id": "279735d7811b31c936306c28ede01b97ff072060", "title": "Estimating the Accuracies of Multiple Classifiers Without Labeled Data", "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.7644.pdf"], "doi": []}, {"id": "20767ca3b932cbc7b8112db21980d7b9b3ea43a3", "title": "Dynamic Concept Composition for Zero-Example Event Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03679.pdf"], "doi": []}, {"id": "558719ec858120908ef40b27a5d32904a68f6dd9", "title": "Mini Cooper Mini Driggs Idaho Black cat Cat Felix Bombay Posing Windows Bay Beach Boxing", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5587/19ec858120908ef40b27a5d32904a68f6dd9.pdf"], "doi": []}, {"id": "43e11904ca961006be79f650025b5d8fbac9913f", "title": "Unsupervised Deep Video Hashing with Balanced Rotation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b6e/2c2ff6fcc5837523940c69cf2e9e94bc0503.pdf"], "doi": []}, {"id": "f97e9818a8055668f9db7967b076dd036d25c417", "title": "Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02305.pdf"], "doi": []}, {"id": "10b780a1154ca70d64b795a6d52945f22d5b31ce", "title": "Self-Paced Learning with Diversity", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4460/6e1209a47d1fcf88b90e306db9e4b84fa2c5.pdf"], "doi": []}, {"id": "28550d85622f3f93134a54b203a37213a29f5e54", "title": "Distributional Smoothing with Virtual Adversarial Training", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00677.pdf"], "doi": []}, {"id": "39af5e987120609afd63f4dcc12484253c3a8ce8", "title": "USEMP at MediaEval Placing Task 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/39af/5e987120609afd63f4dcc12484253c3a8ce8.pdf"], "doi": []}, {"id": "d89ca9f0d62ddc90fcfc3ca5c4db468b8f6f6938", "title": "Embedding hierarchical clustering in product quantization for feature indexing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6626-9"]}, {"id": "75595c73bdce2e07dee0a4bfd911b36b6945b949", "title": "Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03748.pdf"], "doi": []}, {"id": "8dcc88ee0a4d2294a53771fcc47783e51ea38c39", "title": "Scaling and Benchmarking Self-Supervised Visual Representation Learning.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01235.pdf"], "doi": []}, {"id": "c9b0dda393a1c05b6647114b2d5d0b0fa3fca13b", "title": "Improved embedding product quantization", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-00999-2"]}]} \ No newline at end of file +{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "citations": [{"id": "c63f31a938944f55027808fb9afd4d6e0b8b645e", "title": "Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04658.pdf"], "doi": []}, {"id": "5e8966e332a8cfc587fc116f71b97d6412a4472d", "title": "SoundNet: Learning Sound Representations from Unlabeled Video", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.09001.pdf"], "doi": []}, {"id": "90443ec362dc553f29fbf824b4d13fd7f26f2a32", "title": "A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bcf4/b1acf67d318ea55ad9f1d6d9f82793727867.pdf"], "doi": []}, {"id": "2fc8f46ed3e679fa50ecddd7e394235d6b983b4e", "title": "AudioPairBank : towards a large-scale tag-pair-based audio content analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/74cf/619bd11cf6733838892f43338c9f7ffce079.pdf"], "doi": []}, {"id": "39c6897ed1a7157cd8370f2b9269f9cfc477d64b", "title": "Intent-Aware Diverse Social Image Retrieval", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/39c6/897ed1a7157cd8370f2b9269f9cfc477d64b.pdf"], "doi": []}, {"id": "b7216846c743d94fcd43e1b543c9d16ae11d3c48", "title": "Engaging Image Chat: Modeling Personality in Grounded Dialogue", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00945.pdf"], "doi": []}, {"id": "96f4d4fc345698b9b44f034c0d63b704772c8386", "title": "Deep Learning is Robust to Massive Label Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10694.pdf"], "doi": []}, {"id": "a42eb9e4c2506640446f07df3a9a0134752b00da", "title": "Domain Adaptive Transfer Learning with Specialist Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07056.pdf"], "doi": []}, {"id": "fbe107b6e3437ffe33243480005c815eba3e02f9", "title": "Granularity-based interactive image display", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297157", "http://doi.org/10.1109/ICIP.2017.8297157"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "414920f15379a60bb4625405c85456c98e836f52", "title": "A High-Level DSL for Geospatial Visualizations with Multi-core Parallelism Support", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8029621", "http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2017.18", "http://doi.org/10.1109/COMPSAC.2017.18"]}, {"id": "1fd2655fd69a44bd9ca0d855521247d5620d3f82", "title": "Multi-modal Geolocation Estimation Using Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09458.pdf"], "doi": []}, {"id": "c06447df3e50ec451240205cefa0708caee8ab8c", "title": "Picture it in your mind: generating high level visual representations from textual descriptions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.07287.pdf"], "doi": []}, {"id": "e9c9da57bbf9a968489cb90ec7252319bcab42fb", "title": "Hard Mixtures of Experts for Large Scale Weakly Supervised Vision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06363.pdf"], "doi": []}, {"id": "c7fde641178549bbd1860144138bffdc9e800540", "title": "Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02530.pdf"], "doi": []}, {"id": "df3fb59479422f82f1c2c6111392e6b425f928a7", "title": "An Interactive Points of Interest Guidance System", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3040983"]}, {"id": "ea3e3f62be20b9b11994a6308c79a286725db116", "title": "DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04378.pdf"], "doi": []}, {"id": "5ea18f4f13835ea3413646ed676cdff411ff0c75", "title": "Deep permutations: Deep convolutional neural networks and permutation-based indexing", "year": "2016", "pdf": ["http://www.nmis.isti.cnr.it/falchi/Draft/2016-SISAP-DeepPermutations-DRAFT.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46759-7_7"]}, {"id": "4e444db884b5272f3a41e4b68dc0d453d4ec1f4c", "title": "Learning without prejudice: Avoiding bias in webly-supervised action recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.04589.pdf"], "doi": []}, {"id": "eb7ac897c17003fa3d4b297c3a7937aa7b69f776", "title": "2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573120", "http://doi.org/10.1109/ACCESS.2018.2885818"]}, {"id": "0321d183932ff1353d59e418847ff5bf8f5df5d2", "title": "Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0321/d183932ff1353d59e418847ff5bf8f5df5d2.pdf"], "doi": []}, {"id": "e60f58a4ea68d8f961b5d110329653b398fe5ec2", "title": "Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccfe/05ab52712533055558d0d53effa2be3eef6b.pdf"], "doi": []}, {"id": "95e82cf57bc67a386da57049453e6ee29cba1487", "title": "Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09915.pdf"], "doi": []}, {"id": "67da607541b8e380c1665c2158e5e0dd4a6f0e49", "title": "Learning to Localize Sound Source in Visual Scenes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03849.pdf"], "doi": []}, {"id": "40000b058cf80b7983a2c0f96562368a40a04580", "title": "Predicting human mobility through the assimilation of social media traces into mobility models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04560.pdf"], "doi": []}, {"id": "1267eae42798940c105355a9590363fb6560595b", "title": "From Coarse to Fine: Robust Hierarchical Localization at Large Scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03506.pdf"], "doi": []}, {"id": "5db46dda9f0f08220d49a5db1204f149bd4f6a4a", "title": "Engaging Image Captioning Via Personality", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10665.pdf"], "doi": []}, {"id": "71424a706a2e4b9bc5fd049aefe83d73873c0145", "title": "How Unlabeled Web Videos Help Complex Event Detection?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0a97/7dbcd160cfcd87e3d9cd75679c326c2c0dc2.pdf"], "doi": []}, {"id": "ef94ea8847cba51537a3df8f107cecb1286e1242", "title": "Indexing 100M Images with Deep Features and MI-File.", "year": "2016", "pdf": ["http://ceur-ws.org/Vol-1653/paper_8.pdf"], "doi": []}, {"id": "bd825db9d9cdd0026a991a6652e8a4541c85c6b4", "title": "PROMPT: Personalized User Tag Recommendation for Social Media Photos Leveraging Personal and Social Contexts", "year": "2016", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/personalizedusertagrecommendation-ism2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823676", "http://doi.ieeecomputersociety.org/10.1109/ISM.2016.0109", "http://doi.org/10.1109/ISM.2016.0109"]}, {"id": "5feb32a73dd1bd9e13f84a7b3344497a5545106b", "title": "FastText.zip: Compressing text classification models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.03651.pdf"], "doi": []}, {"id": "4f48c8653cd38cd18f08924c9304bc02ed7ea492", "title": "Learning from Noisy Labels with Distillation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02391.pdf"], "doi": []}, {"id": "bb39dabdbd18a241f0c06c54fc21e967d7217665", "title": "Consensus Maximization with Linear Matrix Inequality Constraints", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Speciale_Consensus_Maximization_With_CVPR_2017_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01380.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100019", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.536", "http://doi.org/10.1109/CVPR.2017.536"]}, {"id": "3e3ce21b1ef9e4c7199522d2c923e3771dbae930", "title": "EXT . ZIP : C OMPRESSING TEXT CLASSIFICATION MODELS", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e3c/e21b1ef9e4c7199522d2c923e3771dbae930.pdf"], "doi": []}, {"id": "6e9680fe35a752590ad2d750ba1aa2b387cba135", "title": "Low-Shot Learning with Large-Scale Diffusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.02332.pdf"], "doi": []}, {"id": "6e7cfcefe82471a6aca78b59be0285467ce37b8b", "title": "D\u00e9j\u00e0 Vu: an empirical evaluation of the memorization properties of ConvNets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06396.pdf"], "doi": []}, {"id": "2cbb8de53759e75411bc528518947a3094fbce3a", "title": "Billion-scale similarity search with GPUs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08734.pdf"], "doi": []}, {"id": "c546010dd1547a8b904ac9d19c0b4e929a45c8d0", "title": "E-Tourism: Mobile Dynamic Trip Planner", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7823611", "http://doi.ieeecomputersociety.org/10.1109/ISM.2016.0044", "http://doi.org/10.1109/ISM.2016.0044"]}, {"id": "fac96b94671bd34c493db2a74254794786e7013a", "title": "Image Retrieval using Heat Diffusion for Deep Feature Aggregation", "year": "2018", "pdf": [], "doi": []}, {"id": "571b04fc6e624b730f9c924e33a2cf6ea8049992", "title": "Towards an Understanding of Our World by GANing Videos in the Wild", "year": "2017", "pdf": [], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "5c8ad080ccb3f5e3c999c2948029f0bd005d5635", "title": "Engaging Image Captioning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5c8a/d080ccb3f5e3c999c2948029f0bd005d5635.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "3fd6503c5c5cfb2303dbf0844206221882180d7a", "title": "Windsurf : the best way to SURF ( and SIFT / BRISK / ORB / FREAK , too )", "year": "2017", "pdf": [], "doi": []}, {"id": "d3219d8213b26e75141d53e802b5bca3d89a4e60", "title": "Revisiting IM2GPS in the Deep Learning Era", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04838.pdf"], "doi": []}, {"id": "c48ec3d14a223346bb50002176e9a04bfb385cc7", "title": "Fuzzy Modelling for Human Dynamics Based on Online Social Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c48e/c3d14a223346bb50002176e9a04bfb385cc7.pdf"], "doi": []}, {"id": "76477d6f415a27938bdebd3f7de5a7c3328de8b3", "title": "Semi-supervised learning on large-scale geotagged photos for situation recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2017.07.005"]}, {"id": "434c2c53af7b3cb3c0a47583a372fa3dc8143951", "title": "DeeSIL: Deep-Shallow Incremental Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06396.pdf"], "doi": []}, {"id": "e68c133947bbf14834f5353126ae85cc048642db", "title": "A Memory Network Approach for Story-Based Temporal Summarization of 360\u00b0 Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578251"]}, {"id": "97a25752c91538ae0d9d1f5db5ae97e2719b528f", "title": "Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/97a2/5752c91538ae0d9d1f5db5ae97e2719b528f.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "651e0593e76f6b536dae32337b4b9067d09f0796", "title": "MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels", "year": "2017", "pdf": [], "doi": []}, {"id": "9a7c1562ed9a4be74ba3b02046469f8b32b9c02f", "title": "Edge-Based Discovery of Training Data for Machine Learning", "year": "2018", "pdf": ["http://elijah.cs.cmu.edu/DOCS/eureka2018-CAMERA-READY.pdf", "http://elijah.cs.cmu.edu/DOCS/feng-sec2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567663", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00018", "http://doi.org/10.1109/SEC.2018.00018"]}, {"id": "40be718f23c163f12f88384a9ceb703578f89af4", "title": "Itinerary Recommendation for Cruises: User Study", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dfcc/db05f4c7433776470f823a5722c7689a37ed.pdf"], "doi": []}, {"id": "655f587a59c835a7b6b5017016ea1c2123f266e6", "title": "Separating Self-Expression and Visual Content in Hashtag Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09825.pdf"], "doi": []}, {"id": "138f079382e2802f3c98c4c81218d413472c6d53", "title": "Large Scale Deep Convolutional Neural Network Features Search with Lucene", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09687.pdf"], "doi": []}, {"id": "d722ba2da54680a9add7db0e6cce2ce5ec5ab68f", "title": "Deep Feature Aggregation with Heat Diffusion for Image Retrieval.", "year": "2018", "pdf": [], "doi": []}, {"id": "6d2892f82a89bfc81f9924adb8bd070fe007adf7", "title": "Generating the Future with Adversarial Transformers", "year": "2017", "pdf": ["http://carlvondrick.com/transformer.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Vondrick_Generating_the_Future_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099802", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.319", "http://doi.org/10.1109/CVPR.2017.319"]}, {"id": "d7b10dc90288c6b4b41c77624f2805f4123e8f8b", "title": "Intelligence on tap: artificial intelligence as a new design material", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3085571"]}, {"id": "2cfdf540840a983907e957aacf68b405214c721c", "title": "Can We Predict the Scenic Beauty of Locations from Geo-tagged Flickr Images?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03506.pdf"], "doi": []}, {"id": "3233340bbb770187cc870f01755a658d3ae92396", "title": "A Classification approach towards Unsupervised Learning of Visual Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00428.pdf"], "doi": []}, {"id": "9976b88d15f89b6c82b16564735d489a7524821d", "title": "Learning Visual N-Grams from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09161.pdf"], "doi": []}, {"id": "a1543975098f8ec14f4402f761eefb473100beee", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "87a937dff0ecffefd8a7e4ca4ce068aca9731a0a", "title": "Embracing Error to Enable Rapid Crowdsourcing", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04506.pdf"], "doi": []}, {"id": "b52ba1473c63e67031bb356151762477f99f3241", "title": "V 3 C \u2013 a Research Video Collection", "year": "2018", "pdf": [], "doi": []}, {"id": "53078a5692d493685fd2d63abf297a39b2edb36d", "title": "Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11285.pdf"], "doi": []}, {"id": "12b58a712396bc2fd74cd19a4d758d7b9c104c3f", "title": "Cross-Domain Recommendation in the Hotel Sector", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/12b5/8a712396bc2fd74cd19a4d758d7b9c104c3f.pdf"], "doi": []}, {"id": "ea5b90931a6e3d0801c1862aaafd42c5127fd83e", "title": "Similarity Join and Self-Join Size Estimation in a Streaming Environment", "year": "2018", "pdf": [], "doi": []}, {"id": "9baf01eb53abda6a169110477f2c7a3492559368", "title": "Learning and Using the Arrow of Time", "year": "2018", "pdf": ["http://aot.csail.mit.edu/pdf/arxiv_0618.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Wei_Learning_and_Using_CVPR_2018_paper.pdf", "http://people.csail.mit.edu/donglai/paper/aot18.pdf", "https://www.robots.ox.ac.uk/~vgg/publications/2018/Wei18/wei18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578938", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00840", "http://doi.org/10.1109/CVPR.2018.00840", "https://vcg.seas.harvard.edu/publications/learning-and-using-the-arrow-of-time/paper", "https://vcg.seas.harvard.edu/publications/learning-and-using-the-arrow-of-time/supplementary-material"]}, {"id": "04384fc1b67e3fc6553aea9299589d33faede5a6", "title": "Personalizable and Interactive Sequence Recommender System", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3188506"]}, {"id": "c2e8f68f31a1cb75241e84d61f26263ff8904374", "title": "Geotagging Flickr Photos And Videos Using Language Models.", "year": "2016", "pdf": ["http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_32.pdf"], "doi": []}, {"id": "25a162aa22493a198e460f6be023d64d3b36dddd", "title": "Transfer Learning From Sound Representations For Anger Detection in Speech", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02120.pdf"], "doi": []}, {"id": "432a78fce47e2cc38fd742ab10cf80dec82ad49a", "title": "Boost K-Means", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02483.pdf"], "doi": []}, {"id": "c141b7c4ccb4a0e5d2a327aa260b318c7c3bcfbb", "title": "Real-Time Adaptive Image Compression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05823.pdf"], "doi": []}, {"id": "d2f698591d8c7da36a2a265605e98e714d6b678a", "title": "Posterior Sampling for Large Scale Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07979.pdf"], "doi": []}, {"id": "e70ebb9971b1fece8760293e61ed42e2372b1d19", "title": "An Evaluation of Large-scale Methods for Image Instance and Class Discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02898.pdf"], "doi": []}, {"id": "48e361ac15c9c048ef20fbc8a60c21f0ef3e6885", "title": "WISC at MediaEval 2017: Multimedia Satellite Task.", "year": "2017", "pdf": ["http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_12.pdf", "http://www.zubiaga.org/publications/files/wisc-mediaeval-2017.pdf"], "doi": []}, {"id": "5e9f01b44ffda34356dc15451098d6311335d7ae", "title": "Efficient Large-Scale Multi-Modal Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02892.pdf"], "doi": []}, {"id": "f2d2dd3db244dcbc6fb32ff9c01ed0cdeb3fd437", "title": "Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.03681.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "40cf7b70c1b4e04c236a9997139c924d2292f505", "title": "Deep Determinantal Point Process for Large-Scale Multi-label Classification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xie_Deep_Determinantal_Point_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237321", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.59", "http://doi.org/10.1109/ICCV.2017.59"]}, {"id": "ec2a887e02237e0b221b721eedac14254ec681cf", "title": "Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08587.pdf"], "doi": []}, {"id": "1fc80a5bcbabaffc738222fa7381c75bf81d6ca8", "title": "The Placing Task at MediaEval 2016", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9388/2d6642f3a7b7f3b766761e0a91379ff306e9.pdf"], "doi": []}, {"id": "353436c53928bd999971694314a6f4ac80a196ac", "title": "Speeding up the k\u00f6hler's method of contrast thresholding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05062.pdf"], "doi": []}, {"id": "9036f47a3d2aa6800ca50813846de8bd79f9cf4f", "title": "Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage", "year": "2018", "pdf": ["https://redwood.berkeley.edu/wp-content/uploads/2018/03/zarcone2018joint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8416587", "http://doi.org/10.1109/DCC.2018.00023"]}, {"id": "40a2287feb202e82634c225675c838d4f8875658", "title": "GeoTrie: A scalable architecture for location-temporal range queries over massive geotagged data sets", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7778584", "http://doi.ieeecomputersociety.org/10.1109/NCA.2016.7778584", "http://doi.org/10.1109/NCA.2016.7778584"]}, {"id": "1e17202d6de18d5e1965edce5fee79744b717d0b", "title": "MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08681.pdf"], "doi": []}, {"id": "d1ade6a8c3a4c929efb70810a171c62a39e6f195", "title": "Review on Latest Approaches used in Natural Language Processing for Generation of Image Captioning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1ad/e6a8c3a4c929efb70810a171c62a39e6f195.pdf"], "doi": []}, {"id": "089ad31ad5eef41bd179bb0a142d3386a8de5564", "title": "Continuous memories for representing sets of vectors and image collections. (M\u00e9moires continues repr\u00e9sentant des ensembles de vecteurs et des collections d'images)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e2e6/69e99949e1be72cd4bf0ac88ea89a391324e.pdf"], "doi": []}, {"id": "7ba0bf9323c2d79300f1a433ff8b4fe0a00ad889", "title": "VideoMCC: a New Benchmark for Video Comprehension", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07373.pdf"], "doi": []}, {"id": "4cea60c30d404abfd4044a6367d436fa6f67bb89", "title": "ConTagNet: Exploiting User Context for Image Tag Recommendation", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984068"]}, {"id": "f11acabdc1aa9fb8917431268f85746b88d88c32", "title": "LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers", "year": "2018", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/2018_CVPR.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Baraldi_LAMV_Learning_to_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578912", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00814", "http://doi.org/10.1109/CVPR.2018.00814"]}, {"id": "2e68190ebda2db8fb690e378fa213319ca915cf8", "title": "Generating Videos with Scene Dynamics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02612.pdf"], "doi": []}, {"id": "38d26057acdae8d66378db4b1a2fbebed0a14f27", "title": "Similarity Join and Similarity Self-Join Size Estimation in a Streaming Environment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03313.pdf"], "doi": []}, {"id": "beeeade98988e55afe81faaedf06dc00848ec751", "title": "ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09568.pdf"], "doi": []}, {"id": "12cd96a419b1bd14cc40942b94d9c4dffe5094d2", "title": "Leveraging Captions in the Wild to Improve Object Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12cd/96a419b1bd14cc40942b94d9c4dffe5094d2.pdf"], "doi": []}, {"id": "aef55af11d8ecaeaf4c13ed765e74a3471ce9b7c", "title": "Probabilistic Video Generation Using Holistic Attribute Control", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08085.pdf"], "doi": []}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "454639ed30a2d336ea976c53b9fe851acbedb7fd", "title": "Large-Scale Deep Learning on the YFCC100M Dataset", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.03409.pdf"], "doi": []}, {"id": "5cdc02ed9f456219369fe3115321564c9955b9ae", "title": "Real-time Analysis and Visualization of the YFCC 100 m Dataset", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5cdc/02ed9f456219369fe3115321564c9955b9ae.pdf"], "doi": []}, {"id": "023cc7f9f3544436553df9548a7d0575bb309c2e", "title": "Bag of Tricks for Efficient Text Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.01759.pdf"], "doi": []}, {"id": "b538999f458a12df98d197befcc4426525cf8237", "title": "Efficient Indexing of Billion-Scale Datasets of Deep Descriptors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780595"]}, {"id": "6c22c00c645a45665049bc43089159685ac57452", "title": "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00029.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "0825788b9b5a18e3dfea5b0af123b5e939a4f564", "title": "Glove: Global Vectors for Word Representation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1baa/3f4fda7c92600a5c192adaed80a834d13ff9.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "10a285260e822b49023c4324d0fbbca7df8e128b", "title": "Objects2action: Classifying and Localizing Actions without Any Video Example", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.06939.pdf"], "doi": []}, {"id": "82ab819815c86e85128a2a055a0c0fcd1146b696", "title": "Sampled Image Tagging and Retrieval Methods on User Generated Content", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06962.pdf"], "doi": []}, {"id": "a428116db2323057baa35cc79da404606bf6c280", "title": "Towards Unified Data and Lifecycle Management for Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7930008"]}, {"id": "c8bcc9cb6dda08678351cc294319650d7bb31fb0", "title": "Image Captioning in the Wild: How People Caption Images on Flickr", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3132522"]}, {"id": "1d033b30f38642e4b6dd146bb8b464bfb58aad96", "title": "Deep Clustering for Unsupervised Learning of Visual Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05520.pdf"], "doi": []}, {"id": "747b15ecd9a9e28bbd733527c59e5dd0aa5de7a1", "title": "Learning Visual Features from Large Weakly Supervised Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02251.pdf"], "doi": []}, {"id": "1275125b71b999b7c49bc554c6ec404a764eb299", "title": "HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410671"]}, {"id": "6e35585eb37ee8a1de60a10a56a3183af480e214", "title": "The YLI-MED Corpus: Characteristics, Procedures, and Plans", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.04250.pdf"], "doi": []}, {"id": "a0838dd4c8037b2fc5e9498a8d53797719628048", "title": "TRECVID 2017: Evaluating Ad-hoc and Instance Video Search, Events Detection, Video Captioning, and Hyperlinking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a083/8dd4c8037b2fc5e9498a8d53797719628048.pdf"], "doi": []}, {"id": "10480a42957a8e08e4c543185e135d7c254583a5", "title": "Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100042"]}, {"id": "00281e4eb219276be3dd890c49106cb8b74c9efa", "title": "Improving Image Classification with Location Context", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410478"]}, {"id": "b0c0f836cb96de1f06eeb95ebfe2af1e5f9a7371", "title": "Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237738"]}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "41c836c70acdb9890b1b8e9affa1b12e60a9bbcf", "title": "Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578615"]}, {"id": "c588c89a72f89eed29d42f34bfa5d4cffa530732", "title": "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01734.pdf"], "doi": []}, {"id": "901e8381aae4b1fbb0d4dcef714d39fbf02f9681", "title": "Learning to Find Good Correspondences", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578380"]}, {"id": "ed310dfcc22a20ad469a5bfae9e0cd9caaa238e7", "title": "A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014971"]}, {"id": "981fef7155742608b8b6673f4a9566158b76cd67", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": [], "doi": []}, {"id": "c53e6fb2c2b01818c150720f3e818f627cbc7749", "title": "New avenues in knowledge bases for natural language processing", "year": "2016", "pdf": ["http://sentic.net/kbnlp.pdf"], "doi": ["https://doi.org/10.1016/j.knosys.2016.07.025", "https://www.wikidata.org/entity/Q57727615"]}, {"id": "0c60eebe10b56dbffe66bb3812793dd514865935", "title": "Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1502.07209.pdf"], "doi": []}, {"id": "5d394ba6303fde04287cf55bcef11379dd28c82c", "title": "Web-Scale Image Clustering Revisited", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410533"]}, {"id": "7f6061c83dc36633911e4d726a497cdc1f31e58a", "title": "YouTube-8M: A Large-Scale Video Classification Benchmark", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.08675.pdf"], "doi": []}, {"id": "970a4cb3595493dd8ca29d32488218540f9baeec", "title": "Large-Scale Video Classification with Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1109/CVPR.2014.223"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "8aef28e7cb1bc464e5c5def67eaf8c308813d192", "title": "FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aef/28e7cb1bc464e5c5def67eaf8c308813d192.pdf"], "doi": []}, {"id": "046111bd2dfc057182e0b995110a5705b572c819", "title": "Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07271.pdf"], "doi": []}, {"id": "4cf74aaae29f9dfbee612d003f14171b2220f81a", "title": "Know2Look: Commonsense Knowledge for Visual Search", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fcf8/0404707ba45c2705d12e4a05e8c90295b1fe.pdf"], "doi": []}, {"id": "f393440a6918ff26747649d6738dfb7b86215f45", "title": "Context-aware clustering and assessment of photo collections", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092916"]}, {"id": "34300a660914c563fc56089251222ba099dbffe2", "title": "A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8234557"]}, {"id": "e254e505d9ee27c51968dcf8552d8b7046f351fb", "title": "Large-Scale Image Geo- Tagging Using Affective Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600042"]}, {"id": "d184ef9a777e9be1a7496d7334e56fb4832840d9", "title": "Adaptive Monte-Carlo Optimization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08321.pdf"], "doi": []}, {"id": "413bd84c4dbc3d5d1481d58a03e5890e1474935e", "title": "Siamese Instance Search for Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780527"]}, {"id": "82ac7468898ba3ab724a848a89c1062e5d45636d", "title": "Sentic API: A common-sense based API for concept-level sentiment analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/82ac/7468898ba3ab724a848a89c1062e5d45636d.pdf"], "doi": []}, {"id": "4f3f7ca469065b6c42e0882689ef79aeb72e9956", "title": "Similarity Search and Applications", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-02224-2"]}, {"id": "b67cba01bf93685992366cbc675065c40949c3ba", "title": "Design and Implementation of a Distributed System for Content-Based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b67c/ba01bf93685992366cbc675065c40949c3ba.pdf"], "doi": []}, {"id": "0e790522e68e44a5c99515e009049831b15cf29f", "title": "Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos", "year": "2014", "pdf": ["http://www.cs.cmu.edu/~epxing/papers/2014/Kim_Xing_cvpr14a.pdf", "http://www.cs.cmu.edu/~gunhee/publish/cvpr14_storygraph_poster.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kim_Reconstructing_Storyline_Graphs_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909891", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.496", "http://doi.org/10.1109/CVPR.2014.496", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1151&context=machine_learning"]}, {"id": "88a43d4c9f0eec09e6b6dff1c41196b1c305c5cb", "title": "Deep Representation Learning for Metadata Verification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638313"]}, {"id": "a40e3e909efc763d4a34ee1b73c8d3495074053d", "title": "A C 3 D-based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot Chengjiang", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0b89/b5e6282d842daecf20055bcc8bd7f39cbed8.pdf"], "doi": []}, {"id": "fe0a26aa8ab52db14499751bdeb090f8f4fc2c03", "title": "UvA-DARE ( Digital Academic Repository ) Pooling Objects for Recognizing Scenes without Examples", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5ca6/c1af415994d390010143c23f1e77113baca6.pdf"], "doi": []}, {"id": "deac0e8c340c63f3a9434f88f20349321b161a74", "title": "UvA-DARE ( Digital Academic Repository ) Objects 2 action : Classifying and localizing actions without", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/deac/0e8c340c63f3a9434f88f20349321b161a74.pdf"], "doi": []}, {"id": "dc42c6130c15f6429f4500718d7c2892d9733e20", "title": "UvA-DARE ( Digital Academic Repository ) Objects 2 action : Classifying and localizing actions without any video example", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef23/aafd17019e4e6ee25a62d9e290840e3777f5.pdf"], "doi": []}, {"id": "88ee291cf1f57fd0f4914a80b986a08a90d887f1", "title": "Billion-scale semi-supervised learning for image classification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00546.pdf"], "doi": []}, {"id": "fddc2dfbe415a3646fe0c837798eb4a500df9180", "title": "Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fddc/2dfbe415a3646fe0c837798eb4a500df9180.pdf"], "doi": []}, {"id": "b1dd487deb2bf000f5f6b5f1a11cae43ff2db040", "title": "Tag refinement based on multilingual tag hierarchies extracted from image folksonomy", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296497"]}, {"id": "ccc4b1a0ff1d85e5cd6d7247ddd1c16ab10e8145", "title": "Freesound Datasets: A Platform for the Creation of Open Audio Datasets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccc4/b1a0ff1d85e5cd6d7247ddd1c16ab10e8145.pdf"], "doi": []}, {"id": "ca37eda56b9ee53610c66951ee7ca66a35d0a846", "title": "Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ca37/eda56b9ee53610c66951ee7ca66a35d0a846.pdf"], "doi": []}, {"id": "20767ca3b932cbc7b8112db21980d7b9b3ea43a3", "title": "Dynamic Concept Composition for Zero-Example Event Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03679.pdf"], "doi": []}, {"id": "558719ec858120908ef40b27a5d32904a68f6dd9", "title": "Mini Cooper Mini Driggs Idaho Black cat Cat Felix Bombay Posing Windows Bay Beach Boxing", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5587/19ec858120908ef40b27a5d32904a68f6dd9.pdf"], "doi": []}, {"id": "43e11904ca961006be79f650025b5d8fbac9913f", "title": "Unsupervised Deep Video Hashing with Balanced Rotation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b6e/2c2ff6fcc5837523940c69cf2e9e94bc0503.pdf"], "doi": []}, {"id": "f97e9818a8055668f9db7967b076dd036d25c417", "title": "Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02305.pdf"], "doi": []}, {"id": "39af5e987120609afd63f4dcc12484253c3a8ce8", "title": "USEMP at MediaEval Placing Task 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/39af/5e987120609afd63f4dcc12484253c3a8ce8.pdf"], "doi": []}, {"id": "d89ca9f0d62ddc90fcfc3ca5c4db468b8f6f6938", "title": "Embedding hierarchical clustering in product quantization for feature indexing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6626-9"]}, {"id": "75595c73bdce2e07dee0a4bfd911b36b6945b949", "title": "Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03748.pdf"], "doi": []}, {"id": "8dcc88ee0a4d2294a53771fcc47783e51ea38c39", "title": "Scaling and Benchmarking Self-Supervised Visual Representation Learning.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01235.pdf"], "doi": []}, {"id": "c9b0dda393a1c05b6647114b2d5d0b0fa3fca13b", "title": "Improved embedding product quantization", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-00999-2"]}]} \ No newline at end of file diff --git a/site/datasets/verified/adience.json b/site/datasets/verified/adience.json index ef5fd979..7fc99f39 100644 --- a/site/datasets/verified/adience.json +++ b/site/datasets/verified/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}]}, "citations": [{"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "6e177341d4412f9c9a639e33e6096344ef930202", "title": "A Gender Recognition System from Facial Image", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}, {"name": "University of Dhaka", "source_name": "University of Dhaka", "street_adddress": "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73169570", "lng": "90.39652750", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf"], "doi": []}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "title": "SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression", "addresses": [{"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05719.pdf"], "doi": []}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406403", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54", "http://doi.org/10.1109/ICCVW.2015.54"]}, {"id": "1fe121925668743762ce9f6e157081e087171f4c", "title": "Unsupervised learning of overcomplete face descriptors", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/cvprw2015.pdf", "https://users.aalto.fi/~kannalj1/publications/cvprw2015.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301322", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301322", "http://doi.org/10.1109/CVPRW.2015.7301322"]}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "9d6e60d49e92361f8f558013065dfa67043dd337", "title": "Applications of Computational Geometry and Computer Vision", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf"], "doi": []}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "title": "Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/60dc/35a42ac758c5372c44f3791c951374658609.pdf"], "doi": []}, {"id": "16d6737b50f969247339a6860da2109a8664198a", "title": "Convolutional Neural Networks for Age and Gender Classification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/16d6/737b50f969247339a6860da2109a8664198a.pdf"], "doi": []}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "ac9a331327cceda4e23f9873f387c9fd161fad76", "title": "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01664.pdf"], "doi": []}, {"id": "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "title": "Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a188.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/CNN_Gender_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376610", "http://doi.org/10.1109/SSCI.2015.37"]}, {"id": "31ea88f29e7f01a9801648d808f90862e066f9ea", "title": "Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06391.pdf"], "doi": []}, {"id": "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "title": "Deep Reinforcement Learning of Video Games", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/361c/9ba853c7d69058ddc0f32cdbe94fbc2166d5.pdf"], "doi": []}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "ba0d9e1e8bc798656429fe7121afee672dddb380", "title": "Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01990.pdf"], "doi": []}, {"id": "16820ccfb626dcdc893cc7735784aed9f63cbb70", "title": "Real-time embedded age and gender classification in unconstrained video", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf", "https://ruor.uottawa.ca/bitstream/10393/32463/1/Azarmehr_Ramin_2015_thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301367", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301367", "http://doi.org/10.1109/CVPRW.2015.7301367"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"], "doi": []}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "eb4151eebd0b7451ca990b242cef8357bfa9db92", "title": "Human Gender Prediction on Facial Images Taken by Mobile Phone using Convolutional Neural Networks", "addresses": [{"name": "Mevlana Universitesi, Konya, Turkey", "source_name": "Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey", "street_adddress": "Ard\u0131\u00e7l\u0131 Mahallesi, \u0130smetpa\u015fa Cad., 42250 Sel\u00e7uklu/Konya, Turkey", "lat": "38.02953300", "lng": "32.50605100", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb41/51eebd0b7451ca990b242cef8357bfa9db92.pdf"], "doi": []}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "addresses": [{"name": "Liverpool University", "source_name": "Liverpool University, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02901.pdf"], "doi": []}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "addresses": [{"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "source_name": "Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "street_adddress": "28359 Bremen, Germany", "lat": "53.10134760", "lng": "8.86116320", "type": "edu", "country": "Germany"}, {"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}, {"name": "Institute of Engineering & Management, Kolkata", "source_name": "Institute of Engineering & Management, Kolkata", "street_adddress": "Sarojini Naidu Rd, Ghola, Karnamadhavpur, Mohispota, West Bengal 700113, India", "lat": "22.71484600", "lng": "88.41618840", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298723"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "addresses": [{"name": "Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Elektrik-Elektronik M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67476490", "lng": "39.18669250", "type": "edu", "country": "Turkey"}, {"name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.68127590", "lng": "39.19608300", "type": "edu", "country": "Turkey"}, {"name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67747550", "lng": "39.20301210", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090181"]}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"]}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4646-5", "https://doi.org/10.1007/s11042-017-4646-5"]}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "addresses": [{"name": "Sichuan Film and Television University", "source_name": "Sichuan Film and Television University, Chengdu, China", "street_adddress": "China, Sichuan, Chengdu, Jinniu, \u91d1\u946b\u5927\u9053\u6c99\u897f\u7ebf9 \u90ae\u653f\u7f16\u7801: 610036", "lat": "30.72405100", "lng": "104.02660600", "type": "edu", "country": "China"}, {"name": "Sichuan Tourism University", "source_name": "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "street_adddress": "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "lat": "30.57890800", "lng": "104.27712000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2024-3"]}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "addresses": [{"name": "Babes Bolyai University", "source_name": "Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania", "street_adddress": "Strada Universit\u0103\u021bii 7-9, Cluj-Napoca 400084, Romania", "lat": "46.76779550", "lng": "23.59127620", "type": "edu", "country": "Romania"}, {"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8117018", "http://doi.org/10.1109/ICCP.2017.8117018"]}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900141", "http://doi.org/10.1109/ICPR.2016.7900141"]}, {"id": "92d051d4680eb41eb172d23cb8c93eed7677af56", "title": "Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451616", "http://doi.org/10.1109/ICIP.2018.8451616"]}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "771e27c4b53f58622e6f03788b5102e5e70b1e49", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245865", "http://doi.org/10.1109/TCYB.2017.2782661", "https://www.ncbi.nlm.nih.gov/pubmed/29993966"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "addresses": [{"name": "University of Campinas (UNICAMP)", "source_name": "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/1077.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913", "http://doi.org/10.1109/SMC.2017.8122913"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3236082"]}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "addresses": [{"name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "source_name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "street_adddress": "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "lat": "-35.43542180", "lng": "-71.61999980", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743331"]}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "addresses": [{"name": "Cyprus University of Technology", "source_name": "Cyprus University of Technology", "street_adddress": "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "lat": "34.67567405", "lng": "33.04577648", "type": "edu", "country": "Cyprus"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7998260", "http://doi.org/10.1109/ICT.2017.7998260"]}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430617", "http://doi.org/10.1109/ICCE.2016.7430617"]}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725652"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "addresses": [{"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": []}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}]} \ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "vetting": {"yes": 97, "no": 79, "total": 176}}, "citations": [{"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"], "doi": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154", "http://doi.org/10.1109/BTAS.2016.7791154"]}, {"id": "6e177341d4412f9c9a639e33e6096344ef930202", "title": "A Gender Recognition System from Facial Image", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}, {"name": "University of Dhaka", "source_name": "University of Dhaka", "street_adddress": "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.73169570", "lng": "90.39652750", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf"], "doi": []}, {"id": "ffe4bb47ec15f768e1744bdf530d5796ba56cfc1", "title": "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04277.pdf"], "doi": []}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"], "doi": ["https://doi.org/10.1007/s11263-016-0940-3"]}, {"id": "7f30a36a3faab044c095814d0ce17ea2b6638213", "title": "Modeling of facial aging and kinship: A survey", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"], "doi": []}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8547144", "http://doi.org/10.1109/MMSP.2018.8547144"]}, {"id": "e49d124a3d7eba42b0e3e79c1dd7537e6611602d", "title": "SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression", "addresses": [{"name": "University of Texas at Dallas", "source_name": "University of Texas at Dallas", "street_adddress": "University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA", "lat": "32.98207990", "lng": "-96.75662780", "type": "edu", "country": "United States"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05719.pdf"], "doi": []}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"], "doi": []}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406403", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54", "http://doi.org/10.1109/ICCVW.2015.54"]}, {"id": "1fe121925668743762ce9f6e157081e087171f4c", "title": "Unsupervised learning of overcomplete face descriptors", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/cvprw2015.pdf", "https://users.aalto.fi/~kannalj1/publications/cvprw2015.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301322", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301322", "http://doi.org/10.1109/CVPRW.2015.7301322"]}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.43", "http://doi.org/10.1109/ICCVW.2015.43"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285381", "http://doi.org/10.1109/SSCI.2017.8285381"]}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282221", "http://doi.org/10.1109/APSIPA.2017.8282221"]}, {"id": "9d6e60d49e92361f8f558013065dfa67043dd337", "title": "Applications of Computational Geometry and Computer Vision", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf"], "doi": []}, {"id": "0cece7b8989352e16a2fab8c0a0b1911c286906a", "title": "AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0cec/e7b8989352e16a2fab8c0a0b1911c286906a.pdf"], "doi": []}, {"id": "56c2fb2438f32529aec604e6fc3b06a595ddbfcc", "title": "Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/60dc/35a42ac758c5372c44f3791c951374658609.pdf"], "doi": []}, {"id": "16d6737b50f969247339a6860da2109a8664198a", "title": "Convolutional Neural Networks for Age and Gender Classification", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/16d6/737b50f969247339a6860da2109a8664198a.pdf"], "doi": []}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663", "http://doi.org/10.1109/TMM.2017.2786869"]}, {"id": "ac9a331327cceda4e23f9873f387c9fd161fad76", "title": "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "addresses": [{"name": "University of Bridgeport", "source_name": "University of Bridgeport", "street_adddress": "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "lat": "41.16648580", "lng": "-73.19205640", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01664.pdf"], "doi": []}, {"id": "4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac", "title": "Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a188.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/CNN_Gender_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376610", "http://doi.org/10.1109/SSCI.2015.37"]}, {"id": "31ea88f29e7f01a9801648d808f90862e066f9ea", "title": "Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06391.pdf"], "doi": []}, {"id": "361c9ba853c7d69058ddc0f32cdbe94fbc2166d5", "title": "Deep Reinforcement Learning of Video Games", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/361c/9ba853c7d69058ddc0f32cdbe94fbc2166d5.pdf"], "doi": []}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"], "doi": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "a760d33a21d2ab338f59d32ac7f96023bbfaa248", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"], "doi": []}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"], "doi": []}, {"id": "99c57ec53f2598d63c010f791adbca386b276919", "title": "Landmark-Guided Local Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Yunnan Normal University", "source_name": "Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/99c5/7ec53f2598d63c010f791adbca386b276919.pdf"], "doi": []}, {"id": "ba0d9e1e8bc798656429fe7121afee672dddb380", "title": "Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01990.pdf"], "doi": []}, {"id": "16820ccfb626dcdc893cc7735784aed9f63cbb70", "title": "Real-time embedded age and gender classification in unconstrained video", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf", "https://ruor.uottawa.ca/bitstream/10393/32463/1/Azarmehr_Ramin_2015_thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301367", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301367", "http://doi.org/10.1109/CVPRW.2015.7301367"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"], "doi": []}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"], "doi": []}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099569", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.86", "http://doi.org/10.1109/CVPR.2017.86"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Data61, CSIRO, Canberra, Australia", "source_name": "Data61, CSIRO, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "addresses": [{"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "UAB, Barcelona, Spain", "source_name": "CVC and C. Sc. Dpt. UAB, Barcelona, Spain", "street_adddress": "Campus de la UAB, Pla\u00e7a C\u00edvica, 08193 Bellaterra, Barcelona, Spain", "lat": "41.50192550", "lng": "2.10485380", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"], "doi": []}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "addresses": [{"name": "Nizhny Novgorod State Linguistic University", "source_name": "Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia", "street_adddress": "Minina Street, 31\u0410, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603155", "lat": "56.32442850", "lng": "44.02862910", "type": "edu", "country": "Russia"}, {"name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "source_name": "Samsung-PDMI Joint AI Center, Steklov Institute of Mathematics", "street_adddress": "Ulitsa Gubkina, 8, Moskva, Russia, 119991", "lat": "55.69479700", "lng": "37.56433200", "type": "company", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"name": "Hebei, China", "source_name": "Hebei, China", "street_adddress": "Hebei, China", "lat": "37.89565940", "lng": "114.90422080", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "eb4151eebd0b7451ca990b242cef8357bfa9db92", "title": "Human Gender Prediction on Facial Images Taken by Mobile Phone using Convolutional Neural Networks", "addresses": [{"name": "Mevlana Universitesi, Konya, Turkey", "source_name": "Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey", "street_adddress": "Ard\u0131\u00e7l\u0131 Mahallesi, \u0130smetpa\u015fa Cad., 42250 Sel\u00e7uklu/Konya, Turkey", "lat": "38.02953300", "lng": "32.50605100", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb41/51eebd0b7451ca990b242cef8357bfa9db92.pdf"], "doi": []}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "addresses": [{"name": "Liverpool University", "source_name": "Liverpool University, UK", "street_adddress": "Liverpool L69 3BX, UK", "lat": "53.40593600", "lng": "-2.96557220", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02901.pdf"], "doi": []}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "addresses": [{"name": "Indian Institute of Technology Bombay, Mumbai, India", "source_name": "Indian Institute of Technology Bombay, Mumbai, India", "street_adddress": "Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India", "lat": "19.13343020", "lng": "72.91326790", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "addresses": [{"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "source_name": "Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany", "street_adddress": "28359 Bremen, Germany", "lat": "53.10134760", "lng": "8.86116320", "type": "edu", "country": "Germany"}, {"name": "Universidad Catolica de Chile", "source_name": "Universidad Catolica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}, {"name": "Institute of Engineering & Management, Kolkata", "source_name": "Institute of Engineering & Management, Kolkata", "street_adddress": "Sarojini Naidu Rd, Ghola, Karnamadhavpur, Mohispota, West Bengal 700113, India", "lat": "22.71484600", "lng": "88.41618840", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "Infosys Ltd., Chandigarh, India", "source_name": "Member, Education & Research, Infosys Ltd., Chandigarh, India", "street_adddress": "Sector 12, Chandigarh, 160012, India", "lat": "30.76496460", "lng": "76.77500660", "type": "company", "country": "India"}, {"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Fujian University of Technology", "source_name": "Fujian University of Technology, Fuzhou, China", "street_adddress": "Jin'an, Fuzhou, China", "lat": "26.08557300", "lng": "119.37244200", "type": "edu", "country": "China"}, {"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8298723"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}, {"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648", "http://doi.org/10.1109/TIFS.2017.2695456"]}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "addresses": [{"name": "Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Elektrik-Elektronik M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67476490", "lng": "39.18669250", "type": "edu", "country": "Turkey"}, {"name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.68127590", "lng": "39.19608300", "type": "edu", "country": "Turkey"}, {"name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "source_name": "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "street_adddress": "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "lat": "38.67747550", "lng": "39.20301210", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090181"]}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"name": "AltumView Systems Inc., Burnaby, BC, Canada", "source_name": "AltumView Systems Inc., Burnaby, BC, Canada", "street_adddress": "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8309138", "http://doi.org/10.1109/GlobalSIP.2017.8309138"]}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}, {"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"]}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4646-5", "https://doi.org/10.1007/s11042-017-4646-5"]}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "addresses": [{"name": "Sichuan Film and Television University", "source_name": "Sichuan Film and Television University, Chengdu, China", "street_adddress": "China, Sichuan, Chengdu, Jinniu, \u91d1\u946b\u5927\u9053\u6c99\u897f\u7ebf9 \u90ae\u653f\u7f16\u7801: 610036", "lat": "30.72405100", "lng": "104.02660600", "type": "edu", "country": "China"}, {"name": "Sichuan Tourism University", "source_name": "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "street_adddress": "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "lat": "30.57890800", "lng": "104.27712000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10586-018-2024-3"]}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "addresses": [{"name": "Babes Bolyai University", "source_name": "Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania", "street_adddress": "Strada Universit\u0103\u021bii 7-9, Cluj-Napoca 400084, Romania", "lat": "46.76779550", "lng": "23.59127620", "type": "edu", "country": "Romania"}, {"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8117018", "http://doi.org/10.1109/ICCP.2017.8117018"]}, {"id": "0e71d712f771196189b01f0088cc3497d174493b", "title": "Fine-Grained Age Group Classification in the wild", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545333"]}, {"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900141", "http://doi.org/10.1109/ICPR.2016.7900141"]}, {"id": "92d051d4680eb41eb172d23cb8c93eed7677af56", "title": "Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451616", "http://doi.org/10.1109/ICIP.2018.8451616"]}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "addresses": [{"name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "source_name": "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "street_adddress": "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "lat": "14.07850000", "lng": "100.61403620", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"]}, {"id": "d80159bbe1d576d147ca9adbc9339a05fe3bab28", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7855777"]}, {"id": "771e27c4b53f58622e6f03788b5102e5e70b1e49", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245865", "http://doi.org/10.1109/TCYB.2017.2782661", "https://www.ncbi.nlm.nih.gov/pubmed/29993966"]}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "addresses": [{"name": "Sichuan Police College, Luzhou, China", "source_name": "Sichuan Police College, Luzhou, China", "street_adddress": "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "lat": "28.87451300", "lng": "105.43182700", "type": "gov", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322898"]}, {"id": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "addresses": [{"name": "University of Campinas (UNICAMP)", "source_name": "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "street_adddress": "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "lat": "-22.81483740", "lng": "-47.06477080", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://www.smc2017.org/SMC2017_Papers/media/files/1077.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913", "http://doi.org/10.1109/SMC.2017.8122913"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8017500", "http://doi.org/10.1109/TIFS.2017.2746062"]}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3236082"]}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "addresses": [{"name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "source_name": "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "street_adddress": "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "lat": "-35.43542180", "lng": "-71.61999980", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743331"]}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "addresses": [{"name": "Cyprus University of Technology", "source_name": "Cyprus University of Technology", "street_adddress": "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "lat": "34.67567405", "lng": "33.04577648", "type": "edu", "country": "Cyprus"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7998260", "http://doi.org/10.1109/ICT.2017.7998260"]}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "addresses": [{"name": "Kyung Hee University", "source_name": "Kyung Hee University", "street_adddress": "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430617", "http://doi.org/10.1109/ICCE.2016.7430617"]}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "addresses": [{"name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "source_name": "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925220", "lng": "10.42399480", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-68063-7_8"]}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "addresses": [{"name": "Vietnam Maritime University", "source_name": "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "street_adddress": "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "lat": "20.83685390", "lng": "106.69420870", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725652"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "addresses": [{"name": "AGH University of Science and Technology", "source_name": "AGH University of Science and Technology", "street_adddress": "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "lat": "50.06570330", "lng": "19.91895867", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "addresses": [{"name": "NTU, Singapore", "source_name": "NTU, Singapore", "street_adddress": "50 Nanyang Ave, Singapore 639798", "lat": "1.34830990", "lng": "103.68313470", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "addresses": [{"name": "Hebei Information Engineering School, Baoding, China", "source_name": "Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China", "street_adddress": "Lianchi, Baoding, Hebei, China, 071000", "lat": "38.86371910", "lng": "115.51483260", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}, {"name": "University of Missouri Columbia", "source_name": "University of Missouri Columbia, MO, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "addresses": [{"name": "Indian institute of Technology Roorkee, India", "source_name": "Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com", "street_adddress": "Roorkee, Uttarakhand, India", "lat": "29.85426260", "lng": "77.88800020", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": []}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "addresses": [{"name": "Academia Sinica, Taipei, Taiwan", "source_name": "Academia Sinica, Taipei, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}]} \ No newline at end of file diff --git a/site/datasets/verified/afad.json b/site/datasets/verified/afad.json index ac5c2333..d35149a2 100644 --- a/site/datasets/verified/afad.json +++ b/site/datasets/verified/afad.json @@ -1 +1 @@ -{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "paper": {"key": "afad", "name": "AFAD", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "paper": {"key": "afad", "name": "AFAD", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/afw.json b/site/datasets/verified/afw.json index 7c642d02..4fb90355 100644 --- a/site/datasets/verified/afw.json +++ b/site/datasets/verified/afw.json @@ -1 +1 @@ -{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "paper": {"key": "afw", "name": "AFW", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "paper": {"key": "afw", "name": "AFW", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "addresses": [], "vetting": {"yes": 0, "no": 1, "total": 1}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/agedb.json b/site/datasets/verified/agedb.json index f70be688..b6e3e79a 100644 --- a/site/datasets/verified/agedb.json +++ b/site/datasets/verified/agedb.json @@ -1 +1 @@ -{"id": "d818568838433a6d6831adde49a58cef05e0c89f", "paper": {"key": "agedb", "name": "AgeDB", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}]}, "citations": []} \ No newline at end of file +{"id": "d818568838433a6d6831adde49a58cef05e0c89f", "paper": {"key": "agedb", "name": "AgeDB", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/alert_airport.json b/site/datasets/verified/alert_airport.json index ca6d118b..73516340 100644 --- a/site/datasets/verified/alert_airport.json +++ b/site/datasets/verified/alert_airport.json @@ -1 +1 @@ -{"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "paper": {"key": "alert_airport", "name": "ALERT Airport", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "paper": {"key": "alert_airport", "name": "ALERT Airport", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "addresses": [], "vetting": {"yes": 0, "no": 10, "total": 10}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/appa_real.json b/site/datasets/verified/appa_real.json index 62dcac81..64b77286 100644 --- a/site/datasets/verified/appa_real.json +++ b/site/datasets/verified/appa_real.json @@ -1 +1 @@ -{"id": "633c851ebf625ad7abdda2324e9de093cf623141", "paper": {"key": "appa_real", "name": "APPA-REAL", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "633c851ebf625ad7abdda2324e9de093cf623141", "paper": {"key": "appa_real", "name": "APPA-REAL", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/awe_ears.json b/site/datasets/verified/awe_ears.json index f4db5d0b..d07364f9 100644 --- a/site/datasets/verified/awe_ears.json +++ b/site/datasets/verified/awe_ears.json @@ -1 +1 @@ -{"id": "84fe5b4ac805af63206012d29523a1e033bc827e", "paper": {"key": "awe_ears", "name": "AWE Ears", "title": "Ear Recognition: More Than a Survey", "year": "2017", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "84fe5b4ac805af63206012d29523a1e033bc827e", "paper": {"key": "awe_ears", "name": "AWE Ears", "title": "Ear Recognition: More Than a Survey", "year": "2017", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/bbc_pose.json b/site/datasets/verified/bbc_pose.json index 3140c535..d50e8a9e 100644 --- a/site/datasets/verified/bbc_pose.json +++ b/site/datasets/verified/bbc_pose.json @@ -1 +1 @@ -{"id": "213a579af9e4f57f071b884aa872651372b661fd", "paper": {"key": "bbc_pose", "name": "BBC Pose", "title": "Automatic and Efficient Human Pose Estimation for Sign Language Videos", "year": "2013", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "213a579af9e4f57f071b884aa872651372b661fd", "paper": {"key": "bbc_pose", "name": "BBC Pose", "title": "Automatic and Efficient Human Pose Estimation for Sign Language Videos", "year": "2013", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/bpad.json b/site/datasets/verified/bpad.json index 438a50f4..f9bdfb95 100644 --- a/site/datasets/verified/bpad.json +++ b/site/datasets/verified/bpad.json @@ -1 +1 @@ -{"id": "7808937b46acad36e43c30ae4e9f3fd57462853d", "paper": {"key": "bpad", "name": "BPAD", "title": "Describing people: A poselet-based approach to attribute classification", "year": "2011", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "7808937b46acad36e43c30ae4e9f3fd57462853d", "paper": {"key": "bpad", "name": "BPAD", "title": "Describing people: A poselet-based approach to attribute classification", "year": "2011", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/brainwash.json b/site/datasets/verified/brainwash.json index 9023ddf2..b167363d 100644 --- a/site/datasets/verified/brainwash.json +++ b/site/datasets/verified/brainwash.json @@ -1 +1 @@ -{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "paper": {"key": "brainwash", "name": "Brainwash", "title": "End-to-End People Detection in Crowded Scenes", "year": "2016", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}]}, "citations": [{"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}]} \ No newline at end of file +{"id": "1bd1645a629f1b612960ab9bba276afd4cf7c666", "paper": {"key": "brainwash", "name": "Brainwash", "title": "End-to-End People Detection in Crowded Scenes", "year": "2016", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "vetting": {"yes": 3, "no": 40, "total": 43}}, "citations": [{"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}]} \ No newline at end of file diff --git a/site/datasets/verified/caltech_10k_web_faces.json b/site/datasets/verified/caltech_10k_web_faces.json index 1700b293..bc3b2111 100644 --- a/site/datasets/verified/caltech_10k_web_faces.json +++ b/site/datasets/verified/caltech_10k_web_faces.json @@ -1 +1 @@ -{"id": "636b8ffc09b1b23ff714ac8350bb35635e49fa3c", "paper": {"key": "caltech_10k_web_faces", "name": "Caltech 10K Web Faces", "title": "Pruning training sets for learning of object categories", "year": "2005", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "636b8ffc09b1b23ff714ac8350bb35635e49fa3c", "paper": {"key": "caltech_10k_web_faces", "name": "Caltech 10K Web Faces", "title": "Pruning training sets for learning of object categories", "year": "2005", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/caltech_crp.json b/site/datasets/verified/caltech_crp.json index aeef9a8d..a07a27a1 100644 --- a/site/datasets/verified/caltech_crp.json +++ b/site/datasets/verified/caltech_crp.json @@ -1 +1 @@ -{"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "paper": {"key": "caltech_crp", "name": "Caltech CRP", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "paper": {"key": "caltech_crp", "name": "Caltech CRP", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/casia_webface.json b/site/datasets/verified/casia_webface.json index 1dce3ef0..761fb427 100644 --- a/site/datasets/verified/casia_webface.json +++ b/site/datasets/verified/casia_webface.json @@ -1 +1 @@ -{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "paper": {"key": "casia_webface", "name": "CASIA Webface", "title": "Learning Face Representation from Scratch", "year": "2014", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}]}, "citations": []} \ No newline at end of file +{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "paper": {"key": "casia_webface", "name": "CASIA Webface", "title": "Learning Face Representation from Scratch", "year": "2014", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/celeba.json b/site/datasets/verified/celeba.json index d203abe1..e69a4cfd 100644 --- a/site/datasets/verified/celeba.json +++ b/site/datasets/verified/celeba.json @@ -1 +1 @@ -{"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "paper": {"key": "celeba", "name": "CelebA", "title": "Deep Learning Face Attributes in the Wild", "year": "2015", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}]}, "citations": []} \ No newline at end of file +{"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "paper": {"key": "celeba", "name": "CelebA", "title": "Deep Learning Face Attributes in the Wild", "year": "2015", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/coco.json b/site/datasets/verified/coco.json index 8b4c3ae3..c0a64378 100644 --- a/site/datasets/verified/coco.json +++ b/site/datasets/verified/coco.json @@ -1 +1 @@ -{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "paper": {"key": "coco", "name": "COCO", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "paper": {"key": "coco", "name": "COCO", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/cofw.json b/site/datasets/verified/cofw.json index 1ebce3b9..071d5302 100644 --- a/site/datasets/verified/cofw.json +++ b/site/datasets/verified/cofw.json @@ -1 +1 @@ -{"id": "2724ba85ec4a66de18da33925e537f3902f21249", "paper": {"key": "cofw", "name": "COFW", "title": "Robust Face Landmark Estimation under Occlusion", "year": "2013", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "2724ba85ec4a66de18da33925e537f3902f21249", "paper": {"key": "cofw", "name": "COFW", "title": "Robust Face Landmark Estimation under Occlusion", "year": "2013", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/cuhk_campus_03.json b/site/datasets/verified/cuhk_campus_03.json index d031a65d..9ead022b 100644 --- a/site/datasets/verified/cuhk_campus_03.json +++ b/site/datasets/verified/cuhk_campus_03.json @@ -1 +1 @@ -{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "paper": {"key": "cuhk_campus_03", "name": "CUHK03 Campus", "title": "Human Reidentification with Transferred Metric Learning", "year": "2012", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "paper": {"key": "cuhk_campus_03", "name": "CUHK03 Campus", "title": "Human Reidentification with Transferred Metric Learning", "year": "2012", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/cuhk_train_station.json b/site/datasets/verified/cuhk_train_station.json index 595e1155..8b76bf09 100644 --- a/site/datasets/verified/cuhk_train_station.json +++ b/site/datasets/verified/cuhk_train_station.json @@ -1 +1 @@ -{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "paper": {"key": "cuhk_train_station", "name": "CUHK Train Station Dataset", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}]}, "citations": []} \ No newline at end of file +{"id": "5a4df9bef1872865f0b619ac3aacc97f49e4a035", "paper": {"key": "cuhk_train_station", "name": "CUHK Train Station Dataset", "title": "Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents", "year": "2012", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/duke_mtmc.json b/site/datasets/verified/duke_mtmc.json index 8a247a60..56fc0282 100644 --- a/site/datasets/verified/duke_mtmc.json +++ b/site/datasets/verified/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}]}, "citations": [{"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "XiHua University", "source_name": "XiHua University, Cheng Du", "street_adddress": "Pixian, Chengdu, China", "lat": "30.77862100", "lng": "103.96123600", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "company", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Modena", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "addresses": [{"name": "Senstar Corporation, Waterloo, Canada", "source_name": "Senstar Corporation, Waterloo, Canada", "street_adddress": "595 Parkside Dr, Waterloo, ON N2L 0C7, Canada", "lat": "43.49835030", "lng": "-80.54783820", "type": "company", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "addresses": [{"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "addresses": [{"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "addresses": [{"name": "Huazhong Univ. of Science and Technology, China", "source_name": "Huazhong Univ. of Science and Technology, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "addresses": [{"name": "SenseNets Corporation, Shenzhen, China", "source_name": "Center of Research and Development, SenseNets Corporation, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}, {"name": "Huaiyin Institute of Technology, Huaian, China", "source_name": "Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China", "street_adddress": "1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002", "lat": "33.54910060", "lng": "119.03570600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}]} \ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"key": "duke_mtmc", "name": "Duke MTMC", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "vetting": {"yes": 132, "no": 84, "total": 216}}, "citations": [{"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "XiHua University", "source_name": "XiHua University, Cheng Du", "street_adddress": "Pixian, Chengdu, China", "lat": "30.77862100", "lng": "103.96123600", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "company", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Modena", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}, {"id": "4e4e3ddb55607e127a4abdef45d92adf1ff78de2", "title": "Non-Markovian Globally Consistent Multi-object Tracking", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_supplemental.pdf", "http://www.idiap.ch/~fleuret/papers/maksai-et-al-iccv2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237540", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.278", "http://doi.org/10.1109/ICCV.2017.278"]}, {"id": "fc26fc2340a863d6da0b427cd924fb4cb101051b", "title": "Person Re-identification by Deep Learning Multi-scale Representations", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36238/Gong%20Person%20re-identification%202017%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265515", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.304", "http://doi.org/10.1109/ICCVW.2017.304"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "addresses": [{"name": "Senstar Corporation, Waterloo, Canada", "source_name": "Senstar Corporation, Waterloo, Canada", "street_adddress": "595 Parkside Dr, Waterloo, ON N2L 0C7, Canada", "lat": "43.49835030", "lng": "-80.54783820", "type": "company", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"], "doi": []}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "addresses": [{"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"], "doi": []}, {"id": "fc068f7f8a3b2921ec4f3246e9b6c6015165df9a", "title": "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09349.pdf"], "doi": []}, {"id": "fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "3144c9b3bedb6e3895dcd36998bcb0903271841d", "title": "CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06582.pdf"], "doi": []}, {"id": "f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75", "title": "Deep Active Learning for Video-based Person Re-identification", "addresses": [{"name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "source_name": "Alibaba Group, Zhejiang, People\u2019s Republic of China", "street_adddress": "Zhejiang, China", "lat": "29.14164320", "lng": "119.78892480", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05785.pdf"], "doi": []}, {"id": "5be74c6fa7f890ea530e427685dadf0d0a371fc1", "title": "Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.11027.pdf"], "doi": []}, {"id": "0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4", "title": "Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10984.pdf"], "doi": []}, {"id": "6dce5866ebc46355a35b8667c1e04a4790c2289b", "title": "Extensions of dominant sets and their applications in computer vision", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf"], "doi": []}, {"id": "8abe89ab85250fd7a8117da32bc339a71c67dc21", "title": "Multi-camera Multi-Object Tracking", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07065.pdf"], "doi": []}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"], "doi": []}, {"id": "bab66082d01b393e6b9e841e5e06782a6c61ec88", "title": "Pose-Driven Deep Models for Person Re-Identification", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "e6d8f332ae26e9983d5b42af4466ff95b55f2341", "title": "Pose-Normalized Image Generation for Person Re-identification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02225.pdf"], "doi": []}, {"id": "4a91be40e6b382c3ddf3385ac44062b2399336a8", "title": "Random Occlusion-recovery for Person Re-identification", "addresses": [{"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d", "title": "Re-ID done right: towards good practices for person re-identification.", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05339.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"id": "6d76eefecdcaa130a000d1d6c93cf57166ebd18e", "title": "Resource Aware Person Re-identification Across Multiple Resolutions", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08805.pdf"], "doi": []}, {"id": "42dc432f58adfaa7bf6af07e5faf9e75fea29122", "title": "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Tencent, Shanghai, China", "source_name": "Tencent, Shanghai, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08115.pdf"], "doi": []}, {"id": "8a77025bde5479a1366bb93c6f2366b5a6293720", "title": "Sharp Attention Network via Adaptive Sampling for Person Re-identification", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02336.pdf"], "doi": []}, {"id": "304196021200067a838c06002d9e96d6a12a1e46", "title": "Similarity-preserving Image-image Domain Adaptation for Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10551.pdf"], "doi": []}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"], "doi": []}, {"id": "e278218ba1ff1b85d06680e99b08e817d0962dab", "title": "Tracking Persons-of-Interest via Unsupervised Representation Adaptation", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02139.pdf"], "doi": []}, {"id": "42656cf2b75dccc7f8f224f7a86c2ea4de1ae671", "title": "Unsupervised Domain Adaptive Re-Identification: Theory and Practice", "addresses": [{"name": "Huazhong Univ. of Science and Technology, China", "source_name": "Huazhong Univ. of Science and Technology, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11334.pdf"], "doi": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "31da1da2d4e7254dd8f2a4578d887c57e0678438", "title": "Unsupervised Person Re-identification: Clustering and Fine-tuning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.10444.pdf"], "doi": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"], "doi": []}, {"id": "978716708762dab46e91059e170d43551be74732", "title": "A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578149"]}, {"id": "d9216cc2a3c03659cb2392b7cc8509feb7829579", "title": "Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575514"]}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "addresses": [{"name": "CRIPAC & NLPR, CASIA", "source_name": "CRIPAC & NLPR, CASIA", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "addresses": [{"name": "SenseNets Corporation, Shenzhen, China", "source_name": "Center of Research and Development, SenseNets Corporation, Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "1822ca8db58b0382b0c64f310840f0f875ea02c0", "title": "Camera Style Adaptation for Person Re-identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578639"]}, {"id": "38259235a1c7b2c68ca09f3bc0930987ae99cf00", "title": "Deep Feature Ranking for Person Re-Identification", "addresses": [{"name": "Ocean University of China", "source_name": "Ocean University of China", "street_adddress": "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "lat": "36.16161795", "lng": "120.49355276", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8624253"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490820", "http://doi.org/10.1109/ACCESS.2018.2875783"]}, {"id": "947954cafdefd471b75da8c3bb4c21b9e6d57838", "title": "End-to-End Deep Kronecker-Product Matching for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578818"]}, {"id": "cb68c60ac046a0ec1c7f67487f14b999037313e1", "title": "Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578641"]}, {"id": "c0f01b8174a632448c20eb5472cd9d5b2c595e39", "title": "Features for Multi-target Multi-camera Tracking and Re-identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578730"]}, {"id": "308a13fd1d2847d98930a8e5542f773a9651a0ae", "title": "Group Consistent Similarity Learning via Deep CRF for Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579000"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"id": "292286c0024d6625fe606fb5b8a0df54ea3ffe91", "title": "Identity Adaptation for Person Re-Identification", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}, {"name": "Lancaster University", "source_name": "Lancaster University", "street_adddress": "Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu", "country": "United Kingdom"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452946", "http://doi.org/10.1109/ACCESS.2018.2867898"]}, {"id": "6cde93a5288e84671a7bee98cf6c94037f42da42", "title": "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578208"]}, {"id": "67289bd3b7c9406429c6012eb7292305e50dff0b", "title": "Integration Convolutional Neural Network for Person Re-Identification in Camera Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402217", "http://doi.org/10.1109/ACCESS.2018.2852712"]}, {"id": "fedb656c45aa332cfc373b413f3000b6228eee08", "title": "Joint Learning of Body and Part Representation for Person Re-Identification", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}, {"name": "Huaiyin Institute of Technology, Huaian, China", "source_name": "Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China", "street_adddress": "1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002", "lat": "33.54910060", "lng": "119.03570600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8432403", "http://doi.org/10.1109/ACCESS.2018.2864588"]}, {"id": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "004acfec16c36649408c561faa102dd9de76f085", "title": "Multi-level Factorisation Net for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578323"]}, {"id": "a80d8506fa28334c947989ca153b70aafc63ac7f", "title": "Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks", "addresses": [{"name": "Tianjin Normal University", "source_name": "Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China", "street_adddress": "393 Binshui W Rd, Xiqing Qu, China, 300384", "lat": "39.06072860", "lng": "117.12564210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8409386", "http://doi.org/10.1109/ACCESS.2018.2854830"]}, {"id": "96e77135e745385e87fdd0f7ced951bf1fe9a756", "title": "People Tracking and Re-Identification from Multiple Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": []}, {"id": "90c18409b7a3be2cd6da599d02accba4c769e94e", "title": "Person Re-identification with Cascaded Pairwise Convolutions", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Wuhan Univeristy, Wuhan, China", "source_name": "Wuhan Univeristy, Wuhan, China", "street_adddress": "Wuchang, Wuhan, Hubei, China, 430072", "lat": "30.53604850", "lng": "114.36432190", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578257"]}, {"id": "df4ed9983f7114ca4f0ab71f1476c0bf7521e317", "title": "Pose Transferrable Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578529"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17325", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17325/16308"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "UIUC", "source_name": "UIUC. dengcai2@cs.uiuc.edu", "street_adddress": "Champaign, IL, USA", "lat": "40.10195230", "lng": "-88.22716150", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "addresses": [{"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "12d62f1360587fdecee728e6c509acc378f38dc9", "title": "Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06118.pdf"], "doi": []}, {"id": "14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e", "title": "Hard-Aware Point-to-Set Deep Metric for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11206.pdf"], "doi": []}, {"id": "fea0895326b663bf72be89151a751362db8ae881", "title": "Homocentric Hypersphere Feature Embedding for Person Re-identification", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08866.pdf"], "doi": []}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"], "doi": []}, {"id": "e746447afc4898713a0bcf2bb560286eb4d20019", "title": "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02074.pdf"], "doi": []}, {"id": "bee609ea6e71aba9b449731242efdb136d556222", "title": "Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets", "addresses": [{"name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "source_name": "DAIS, Universit\u00e0 Ca\u2019 Foscari, Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University Iuav of Venice", "source_name": "University Iuav of Venice, Venezia, Italy", "street_adddress": "Santa Croce, 191, 30135 Venezia VE, Italy", "lat": "45.43776720", "lng": "12.32180700", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06196.pdf"], "doi": []}, {"id": "317f5a56519df95884cce81cfba180ee3adaf5a5", "title": "Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07295.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}]} \ No newline at end of file diff --git a/site/datasets/verified/erce.json b/site/datasets/verified/erce.json index 633b8bc1..b8622657 100644 --- a/site/datasets/verified/erce.json +++ b/site/datasets/verified/erce.json @@ -1 +1 @@ -{"id": "b6c293f0420f7e945b5916ae44269fb53e139275", "paper": {"key": "erce", "name": "ERCe", "title": "Video Synopsis by Heterogeneous Multi-source Correlation", "year": "2013", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "b6c293f0420f7e945b5916ae44269fb53e139275", "paper": {"key": "erce", "name": "ERCe", "title": "Video Synopsis by Heterogeneous Multi-source Correlation", "year": "2013", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/expw.json b/site/datasets/verified/expw.json index 31a25a17..d027f21a 100644 --- a/site/datasets/verified/expw.json +++ b/site/datasets/verified/expw.json @@ -1 +1 @@ -{"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "paper": {"key": "expw", "name": "ExpW", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "paper": {"key": "expw", "name": "ExpW", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/face_scrub.json b/site/datasets/verified/face_scrub.json index ce933b81..9a42043e 100644 --- a/site/datasets/verified/face_scrub.json +++ b/site/datasets/verified/face_scrub.json @@ -1 +1 @@ -{"id": "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "paper": {"key": "face_scrub", "name": "FaceScrub", "title": "A data-driven approach to cleaning large face datasets", "year": "2014", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "paper": {"key": "face_scrub", "name": "FaceScrub", "title": "A data-driven approach to cleaning large face datasets", "year": "2014", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/face_tracer.json b/site/datasets/verified/face_tracer.json index 91a22a21..18c68840 100644 --- a/site/datasets/verified/face_tracer.json +++ b/site/datasets/verified/face_tracer.json @@ -1 +1 @@ -{"id": "4c170a0dcc8de75587dae21ca508dab2f9343974", "paper": {"key": "face_tracer", "name": "FaceTracer", "title": "FaceTracer: A Search Engine for Large Collections of Images with Faces", "year": "2008", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "4c170a0dcc8de75587dae21ca508dab2f9343974", "paper": {"key": "face_tracer", "name": "FaceTracer", "title": "FaceTracer: A Search Engine for Large Collections of Images with Faces", "year": "2008", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/facebook_100.json b/site/datasets/verified/facebook_100.json index e46a275e..ecc5b4f8 100644 --- a/site/datasets/verified/facebook_100.json +++ b/site/datasets/verified/facebook_100.json @@ -1 +1 @@ -{"id": "9c23859ec7313f2e756a3e85575735e0c52249f4", "paper": {"key": "facebook_100", "name": "Facebook100", "title": "Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook", "year": "2011", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "9c23859ec7313f2e756a3e85575735e0c52249f4", "paper": {"key": "facebook_100", "name": "Facebook100", "title": "Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook", "year": "2011", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/families_in_the_wild.json b/site/datasets/verified/families_in_the_wild.json index 18abac94..99ce6bb0 100644 --- a/site/datasets/verified/families_in_the_wild.json +++ b/site/datasets/verified/families_in_the_wild.json @@ -1 +1 @@ -{"id": "dd65f71dac86e36eecbd3ed225d016c3336b4a13", "paper": {"key": "families_in_the_wild", "name": "FIW", "title": "Visual Kinship Recognition of Families in the Wild", "year": "2018", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "dd65f71dac86e36eecbd3ed225d016c3336b4a13", "paper": {"key": "families_in_the_wild", "name": "FIW", "title": "Visual Kinship Recognition of Families in the Wild", "year": "2018", "addresses": [{"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/fddb.json b/site/datasets/verified/fddb.json index d19f1f47..2f194780 100644 --- a/site/datasets/verified/fddb.json +++ b/site/datasets/verified/fddb.json @@ -1 +1 @@ -{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "paper": {"key": "fddb", "name": "FDDB", "title": "FDDB: A benchmark for face detection in unconstrained settings", "year": "2010", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "paper": {"key": "fddb", "name": "FDDB", "title": "FDDB: A benchmark for face detection in unconstrained settings", "year": "2010", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/feret.json b/site/datasets/verified/feret.json index 1de2234b..03c2d2ff 100644 --- a/site/datasets/verified/feret.json +++ b/site/datasets/verified/feret.json @@ -1 +1 @@ -{"id": "0c4a139bb87c6743c7905b29a3cfec27a5130652", "paper": {"key": "feret", "name": "FERET", "title": "The FERET Verification Testing Protocol for Face Recognition Algorithms", "year": "1998", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "0c4a139bb87c6743c7905b29a3cfec27a5130652", "paper": {"key": "feret", "name": "FERET", "title": "The FERET Verification Testing Protocol for Face Recognition Algorithms", "year": "1998", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/fiw_300.json b/site/datasets/verified/fiw_300.json index a1941dce..acf0a484 100644 --- a/site/datasets/verified/fiw_300.json +++ b/site/datasets/verified/fiw_300.json @@ -1 +1 @@ -{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "paper": {"key": "fiw_300", "name": "300-W", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "year": "2013", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}]}, "citations": [{"id": "c335a560a315de7cfeadf5b0b0febca837116988", "title": "Back to the future: A fully automatic method for robust age progression", "addresses": [{"name": "IBM Hursley Labs, UK", "source_name": "IBM Hursley Labs, UK", "street_adddress": "Hursley Park Rd, Hursley, Winchester SO21 2JN, UK", "lat": "51.02675130", "lng": "-1.39725760", "type": "company", "country": "United Kingdom"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.mdx.ac.uk/23779/1/C26.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900297", "http://doi.org/10.1109/ICPR.2016.7900297"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}]} \ No newline at end of file +{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "paper": {"key": "fiw_300", "name": "300-W", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "year": "2013", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "vetting": {"yes": 3, "no": 1, "total": 4}}, "citations": [{"id": "c335a560a315de7cfeadf5b0b0febca837116988", "title": "Back to the future: A fully automatic method for robust age progression", "addresses": [{"name": "IBM Hursley Labs, UK", "source_name": "IBM Hursley Labs, UK", "street_adddress": "Hursley Park Rd, Hursley, Winchester SO21 2JN, UK", "lat": "51.02675130", "lng": "-1.39725760", "type": "company", "country": "United Kingdom"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.mdx.ac.uk/23779/1/C26.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900297", "http://doi.org/10.1109/ICPR.2016.7900297"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/fpoq.json b/site/datasets/verified/fpoq.json index c680f8b8..68ddd198 100644 --- a/site/datasets/verified/fpoq.json +++ b/site/datasets/verified/fpoq.json @@ -1 +1 @@ -{"id": "5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725", "paper": {"key": "fpoq", "name": "50 People One Question", "title": "Merging Pose Estimates Across Space and Time", "year": "2013", "addresses": []}, "citations": [{"id": "60593c176ba39e8cb63ba6a7bf936553984bb67c", "title": "From Categories to Individuals in Real Time -- A Unified Boosting Approach", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/45540/1/cvpr_submission.pdf", "http://vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hall_From_Categories_to_2014_CVPR_paper.pdf", "http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909424", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.30", "http://doi.org/10.1109/CVPR.2014.30"]}]} \ No newline at end of file +{"id": "5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725", "paper": {"key": "fpoq", "name": "50 People One Question", "title": "Merging Pose Estimates Across Space and Time", "year": "2013", "addresses": [], "vetting": {"yes": 1, "no": 15, "total": 16}}, "citations": [{"id": "60593c176ba39e8cb63ba6a7bf936553984bb67c", "title": "From Categories to Individuals in Real Time -- A Unified Boosting Approach", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/45540/1/cvpr_submission.pdf", "http://vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hall_From_Categories_to_2014_CVPR_paper.pdf", "http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/Data/CVPR2014_HALL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909424", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.30", "http://doi.org/10.1109/CVPR.2014.30"]}]} \ No newline at end of file diff --git a/site/datasets/verified/frgc.json b/site/datasets/verified/frgc.json index a5c59dd3..1c28d8ce 100644 --- a/site/datasets/verified/frgc.json +++ b/site/datasets/verified/frgc.json @@ -1 +1 @@ -{"id": "18ae7c9a4bbc832b8b14bc4122070d7939f5e00e", "paper": {"key": "frgc", "name": "FRGC", "title": "Overview of the face recognition grand challenge", "year": "2005", "addresses": [{"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "18ae7c9a4bbc832b8b14bc4122070d7939f5e00e", "paper": {"key": "frgc", "name": "FRGC", "title": "Overview of the face recognition grand challenge", "year": "2005", "addresses": [{"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/gallagher.json b/site/datasets/verified/gallagher.json index bb340e03..5db2da0a 100644 --- a/site/datasets/verified/gallagher.json +++ b/site/datasets/verified/gallagher.json @@ -1 +1 @@ -{"id": "22ad2c8c0f4d6aa4328b38d894b814ec22579761", "paper": {"key": "gallagher", "name": "Gallagher", "title": "Clothing cosegmentation for recognizing people", "year": "2008", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "22ad2c8c0f4d6aa4328b38d894b814ec22579761", "paper": {"key": "gallagher", "name": "Gallagher", "title": "Clothing cosegmentation for recognizing people", "year": "2008", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/geofaces.json b/site/datasets/verified/geofaces.json index e93f509b..07a44159 100644 --- a/site/datasets/verified/geofaces.json +++ b/site/datasets/verified/geofaces.json @@ -1 +1 @@ -{"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "paper": {"key": "geofaces", "name": "GeoFaces", "title": "Exploring the geo-dependence of human face appearance", "year": "2014", "addresses": []}, "citations": [{"id": "68eb46d2920d2e7568d543de9fa2fc42cb8f5cbb", "title": "FACE2GPS: Estimating geographic location from facial features", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://cs.uky.edu/~jacobs/papers/face2gps.pdf", "http://cs.uky.edu/~tarik/papers/face2gps.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351072", "http://doi.org/10.1109/ICIP.2015.7351072"]}, {"id": "17b46e2dad927836c689d6787ddb3387c6159ece", "title": "GeoFaceExplorer: exploring the geo-dependence of facial attributes", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2676443"]}]} \ No newline at end of file +{"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "paper": {"key": "geofaces", "name": "GeoFaces", "title": "Exploring the geo-dependence of human face appearance", "year": "2014", "addresses": [], "vetting": {"yes": 2, "no": 11, "total": 13}}, "citations": [{"id": "68eb46d2920d2e7568d543de9fa2fc42cb8f5cbb", "title": "FACE2GPS: Estimating geographic location from facial features", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://cs.uky.edu/~jacobs/papers/face2gps.pdf", "http://cs.uky.edu/~tarik/papers/face2gps.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351072", "http://doi.org/10.1109/ICIP.2015.7351072"]}, {"id": "17b46e2dad927836c689d6787ddb3387c6159ece", "title": "GeoFaceExplorer: exploring the geo-dependence of facial attributes", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2676443"]}]} \ No newline at end of file diff --git a/site/datasets/verified/gfw.json b/site/datasets/verified/gfw.json index 41dfc864..728515a9 100644 --- a/site/datasets/verified/gfw.json +++ b/site/datasets/verified/gfw.json @@ -1 +1 @@ -{"id": "e58dd160a76349d46f881bd6ddbc2921f08d1050", "paper": {"key": "gfw", "name": "Grouping Face in the Wild", "title": "Merge or Not? Learning to Group Faces via Imitation Learning", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "e58dd160a76349d46f881bd6ddbc2921f08d1050", "paper": {"key": "gfw", "name": "Grouping Face in the Wild", "title": "Merge or Not? Learning to Group Faces via Imitation Learning", "year": "2018", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/h3d.json b/site/datasets/verified/h3d.json index a38e0284..f6235909 100644 --- a/site/datasets/verified/h3d.json +++ b/site/datasets/verified/h3d.json @@ -1 +1 @@ -{"id": "2830fb5282de23d7784b4b4bc37065d27839a412", "paper": {"key": "h3d", "name": "H3D", "title": "Poselets: Body part detectors trained using 3D human pose annotations", "year": "2009", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "2830fb5282de23d7784b4b4bc37065d27839a412", "paper": {"key": "h3d", "name": "H3D", "title": "Poselets: Body part detectors trained using 3D human pose annotations", "year": "2009", "addresses": [], "vetting": {"yes": 0, "no": 12, "total": 12}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/helen.json b/site/datasets/verified/helen.json index 59065050..ed27eaad 100644 --- a/site/datasets/verified/helen.json +++ b/site/datasets/verified/helen.json @@ -1 +1 @@ -{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "paper": {"key": "helen", "name": "Helen", "title": "Interactive Facial Feature Localization", "year": "2012", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}]}, "citations": [{"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "12095f9b35ee88272dd5abc2d942a4f55804b31e", "title": "DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild R\u0131za", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1209/5f9b35ee88272dd5abc2d942a4f55804b31e.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "title": "Complex representations for learning statistical shape priors", "addresses": [{"name": "Amazon Research, Berlin", "source_name": "Amazon Research, Berlin, Germany", "street_adddress": "Krausenstra\u00dfe 38, 10117 Berlin, Germany", "lat": "52.50986860", "lng": "13.39845130", "type": "company", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347043.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eusipco_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081394", "http://doi.org/10.23919/EUSIPCO.2017.8081394", "https://doi.org/10.23919/EUSIPCO.2017.8081394"]}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "title": "Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06598.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "title": "Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "Computer Vision Center, UAB, Barcelona, Spain", "source_name": "Computer Vision Center, UAB, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf", "http://sergioescalera.com/wp-content/uploads/2015/07/CVPR2015MoeslundSlides.pdf", "http://vbn.aau.dk/files/210011403/PID3686207.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301341", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301341", "http://doi.org/10.1109/CVPRW.2015.7301341"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "title": "Automatic construction Of robust spherical harmonic subspaces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_spherical_harmonics.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298604", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298604", "http://doi.org/10.1109/CVPR.2015.7298604"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"], "doi": []}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "title": "Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://doc.utwente.nl/103789/1/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf", "http://eprints.eemcs.utwente.nl/27574/01/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0950-1", "https://doi.org/10.1007/s11263-016-0950-1"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "696236fb6f986f6d5565abb01f402d09db68e5fa", "title": "Learning adaptive receptive fields for deep image parsing networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Learning_Adaptive_Receptive_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wei_Learning_Adaptive_Receptive_2017_CVPR_supplemental.pdf"], "doi": ["http://doi.org/10.1007/s41095-018-0112-1", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.420", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099903", "https://doi.org/10.1007/s41095-018-0112-1"]}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "3bc376f29bc169279105d33f59642568de36f17f", "title": "Active shape models with SIFT descriptors and MARS", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["http://www.dip.ee.uct.ac.za/~nicolls/publish/sm14-visapp.pdf", "http://www.milbo.org/stasm-files/active-shape-models-with-sift-and-mars.pdf", "http://www.scitepress.org/Papers/2014/46800/46800.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294955", "http://doi.org/10.5220/0004680003800387"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "title": "Deep Feature Interpolation for Image Content Changes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "George Washington University", "source_name": "George Washington University, USA", "street_adddress": "2121 I St NW, Washington, DC 20052, USA", "lat": "38.89971450", "lng": "-77.04859920", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05507.pdf"], "doi": []}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "title": "Face Completion with Semantic Knowledge and Collaborative Adversarial Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03252.pdf"], "doi": []}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"], "doi": []}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "f070d739fb812d38571ec77490ccd8777e95ce7a", "title": "Hierarchical facial landmark localization via cascaded random binary patterns", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://zhzhanp.github.io/papers/PR2015.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.09.007", "https://doi.org/10.1016/j.patcog.2014.09.007"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961805", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.84", "http://doi.org/10.1109/FG.2017.84"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "The University of Texas at Arlington", "source_name": "The University of Texas at Arlington", "street_adddress": "701 W Nedderman Dr, Arlington, TX 76019, USA", "lat": "32.72987180", "lng": "-97.11401160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"], "doi": []}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "title": "Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"], "doi": []}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.02137.pdf"], "doi": []}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "4836b084a583d2e794eb6a94982ea30d7990f663", "title": "Cascaded Face Alignment via Intimacy Definition Feature", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06642.pdf"], "doi": []}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "title": "Disentangling the Modes of Variation in Unlabelled Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/disentangling-modes-variation.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8214214", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2783940", "http://doi.org/10.1109/TPAMI.2017.2783940", "https://www.ncbi.nlm.nih.gov/pubmed/29990016"]}, {"id": "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "title": "Effective face landmark localization via single deep network", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02719.pdf"], "doi": []}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure Detection for Facial Landmark Detectors", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06451.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "title": "Generative Face Completion", "addresses": [{"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05838.pdf"], "doi": []}, {"id": "ba21fd28003994480f713b0a1276160fea2e89b5", "title": "Identification of Individuals from Ears in Real World Conditions", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba21/fd28003994480f713b0a1276160fea2e89b5.pdf"], "doi": []}, {"id": "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "title": "Improving Facial Attribute Prediction Using Semantic Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08740.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "title": "Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/287b/7baff99d6995fd5852002488eb44659be6c1.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "7d1688ce0b48096e05a66ead80e9270260cb8082", "title": "Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors", "addresses": [{"name": "Otto von Guericke University", "source_name": "Otto von Guericke University", "street_adddress": "Otto-von-Guericke-Universit\u00e4t Magdeburg, 2, Universit\u00e4tsplatz, Kr\u00f6kentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland", "lat": "52.14005065", "lng": "11.64471248", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w44/Saxen_Real_vs._Fake_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265574", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.363", "http://doi.org/10.1109/ICCVW.2017.363"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "title": "Simultaneous Cascaded Regression", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018.pdf", "http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451313", "http://doi.org/10.1109/ICIP.2018.8451313"]}, {"id": "11fc332bdcc843aad7475bb4566e73a957dffda5", "title": "SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03356.pdf"], "doi": []}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "d32b155138dafd0a9099980eceec6081ab51b861", "title": "Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03459.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "995d55fdf5b6fe7fb630c93a424700d4bc566104", "title": "The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410537", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.180", "http://doi.org/10.1109/ICCV.2015.180"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "title": "A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09058.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "1f9ae272bb4151817866511bd970bffb22981a49", "title": "An Iterative Regression Approach for Face Pose Estimation from RGB Images", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03170.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "08ecc281cdf954e405524287ee5920e7c4fb597e", "title": "Computational Assessment of Facial Expression Production in ASD Children", "addresses": [{"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08ec/c281cdf954e405524287ee5920e7c4fb597e.pdf"], "doi": []}, {"id": "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "title": "Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01453.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "992ebd81eb448d1eef846bfc416fc929beb7d28b", "title": "Exemplar-Based Face Parsing Supplementary Material", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/992e/bd81eb448d1eef846bfc416fc929beb7d28b.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Jiaotong University", "source_name": "Jiaotong University, China", "street_adddress": "Jiaotong University, China, 200000", "lat": "31.19884000", "lng": "121.43256700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "LITIS, Universit\u00e9 de Rouen, Rouen, France", "source_name": "LITIS, Université de Rouen, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "title": "Online Eye Status Detection in the Wild with Convolutional Neural Networks", "addresses": [{"name": "University of Central Lancashire", "source_name": "ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.", "street_adddress": "Fylde Rd, Preston PR1 2HE, UK", "lat": "53.76413780", "lng": "-2.70924530", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ef52/f1e2b52fd84a7e22226ed67132c6ce47b829.pdf"], "doi": []}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "addresses": [{"name": "IBM Research T. J. Watson Center", "source_name": "IBM Research T. J. Watson Center, U.S.A", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "title": "ReenactGAN: Learning to Reenact Faces via Boundary Transfer", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11079.pdf"], "doi": []}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "addresses": [{"name": "CASIA, China", "source_name": "CASIA, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "title": "Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}, {"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "street_adddress": "Messina, Province of Messina, Italy", "lat": "38.19373350", "lng": "15.55420570", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8207589", "http://doi.org/10.1109/TCDS.2017.2783684"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}]} \ No newline at end of file +{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "paper": {"key": "helen", "name": "Helen", "title": "Interactive Facial Feature Localization", "year": "2012", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}], "vetting": {"yes": 206, "no": 75, "total": 281}}, "citations": [{"id": "bae86526b3b0197210b64cdd95cb5aca4209c98a", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "12095f9b35ee88272dd5abc2d942a4f55804b31e", "title": "DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild R\u0131za", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1209/5f9b35ee88272dd5abc2d942a4f55804b31e.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "ba1c0600d3bdb8ed9d439e8aa736a96214156284", "title": "Complex representations for learning statistical shape priors", "addresses": [{"name": "Amazon Research, Berlin", "source_name": "Amazon Research, Berlin, Germany", "street_adddress": "Krausenstra\u00dfe 38, 10117 Berlin, Germany", "lat": "52.50986860", "lng": "13.39845130", "type": "company", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347043.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eusipco_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081394", "http://doi.org/10.23919/EUSIPCO.2017.8081394", "https://doi.org/10.23919/EUSIPCO.2017.8081394"]}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "655ad6ed99277b3bba1f2ea7e5da4709d6e6cf44", "title": "Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06598.pdf"], "doi": []}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "087002ab569e35432cdeb8e63b2c94f1abc53ea9", "title": "Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}, {"name": "Computer Vision Center, UAB, Barcelona, Spain", "source_name": "Computer Vision Center, UAB, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf", "http://sergioescalera.com/wp-content/uploads/2015/07/CVPR2015MoeslundSlides.pdf", "http://vbn.aau.dk/files/210011403/PID3686207.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Irani_Spatiotemporal_Analysis_of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301341", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301341", "http://doi.org/10.1109/CVPRW.2015.7301341"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "1d0128b9f96f4c11c034d41581f23eb4b4dd7780", "title": "Automatic construction Of robust spherical harmonic subspaces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_spherical_harmonics.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_011_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298604", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298604", "http://doi.org/10.1109/CVPR.2015.7298604"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"], "doi": []}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "f095b5770f0ff13ba9670e3d480743c5e9ad1036", "title": "Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://doc.utwente.nl/103789/1/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf", "http://eprints.eemcs.utwente.nl/27574/01/Pantic_Fast_Algorithms_for_Fitting_Active_Appearance_Models.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0950-1", "https://doi.org/10.1007/s11263-016-0950-1"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "696236fb6f986f6d5565abb01f402d09db68e5fa", "title": "Learning adaptive receptive fields for deep image parsing networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wei_Learning_Adaptive_Receptive_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wei_Learning_Adaptive_Receptive_2017_CVPR_supplemental.pdf"], "doi": ["http://doi.org/10.1007/s41095-018-0112-1", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.420", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099903", "https://doi.org/10.1007/s41095-018-0112-1"]}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "3bc376f29bc169279105d33f59642568de36f17f", "title": "Active shape models with SIFT descriptors and MARS", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["http://www.dip.ee.uct.ac.za/~nicolls/publish/sm14-visapp.pdf", "http://www.milbo.org/stasm-files/active-shape-models-with-sift-and-mars.pdf", "http://www.scitepress.org/Papers/2014/46800/46800.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294955", "http://doi.org/10.5220/0004680003800387"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "ce9e1dfa7705623bb67df3a91052062a0a0ca456", "title": "Deep Feature Interpolation for Image Content Changes", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "George Washington University", "source_name": "George Washington University, USA", "street_adddress": "2121 I St NW, Washington, DC 20052, USA", "lat": "38.89971450", "lng": "-77.04859920", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05507.pdf"], "doi": []}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "beb8d7c128ccbdc6b63959a763ebc505a5313c06", "title": "Face Completion with Semantic Knowledge and Collaborative Adversarial Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03252.pdf"], "doi": []}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"], "doi": []}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "f070d739fb812d38571ec77490ccd8777e95ce7a", "title": "Hierarchical facial landmark localization via cascaded random binary patterns", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://zhzhanp.github.io/papers/PR2015.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.09.007", "https://doi.org/10.1016/j.patcog.2014.09.007"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961805", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.84", "http://doi.org/10.1109/FG.2017.84"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "The University of Texas at Arlington", "source_name": "The University of Texas at Arlington", "street_adddress": "701 W Nedderman Dr, Arlington, TX 76019, USA", "lat": "32.72987180", "lng": "-97.11401160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"], "doi": []}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "title": "Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"], "doi": []}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.02137.pdf"], "doi": []}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "4836b084a583d2e794eb6a94982ea30d7990f663", "title": "Cascaded Face Alignment via Intimacy Definition Feature", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06642.pdf"], "doi": []}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "9b8f7a6850d991586b7186f0bb7e424924a9fd74", "title": "Disentangling the Modes of Variation in Unlabelled Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/disentangling-modes-variation.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8214214", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2783940", "http://doi.org/10.1109/TPAMI.2017.2783940", "https://www.ncbi.nlm.nih.gov/pubmed/29990016"]}, {"id": "b29b42f7ab8d25d244bfc1413a8d608cbdc51855", "title": "Effective face landmark localization via single deep network", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02719.pdf"], "doi": []}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure Detection for Facial Landmark Detectors", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06451.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "f0a4a3fb6997334511d7b8fc090f9ce894679faf", "title": "Generative Face Completion", "addresses": [{"name": "University of California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05838.pdf"], "doi": []}, {"id": "ba21fd28003994480f713b0a1276160fea2e89b5", "title": "Identification of Individuals from Ears in Real World Conditions", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba21/fd28003994480f713b0a1276160fea2e89b5.pdf"], "doi": []}, {"id": "a40edf6eb979d1ddfe5894fac7f2cf199519669f", "title": "Improving Facial Attribute Prediction Using Semantic Segmentation", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08740.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "bbc5f4052674278c96abe7ff9dc2d75071b6e3f3", "title": "Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/287b/7baff99d6995fd5852002488eb44659be6c1.pdf"], "doi": []}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "7d1688ce0b48096e05a66ead80e9270260cb8082", "title": "Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors", "addresses": [{"name": "Otto von Guericke University", "source_name": "Otto von Guericke University", "street_adddress": "Otto-von-Guericke-Universit\u00e4t Magdeburg, 2, Universit\u00e4tsplatz, Kr\u00f6kentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland", "lat": "52.14005065", "lng": "11.64471248", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w44/Saxen_Real_vs._Fake_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265574", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.363", "http://doi.org/10.1109/ICCVW.2017.363"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "4a04d4176f231683fd68ccf0c76fcc0c44d05281", "title": "Simultaneous Cascaded Regression", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018.pdf", "http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2018_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451313", "http://doi.org/10.1109/ICIP.2018.8451313"]}, {"id": "11fc332bdcc843aad7475bb4566e73a957dffda5", "title": "SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03356.pdf"], "doi": []}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "d32b155138dafd0a9099980eceec6081ab51b861", "title": "Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03459.pdf"], "doi": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "995d55fdf5b6fe7fb630c93a424700d4bc566104", "title": "The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nilsson_The_One_Triangle_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410537", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.180", "http://doi.org/10.1109/ICCV.2015.180"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "9993f1a7cfb5b0078f339b9a6bfa341da76a3168", "title": "A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09058.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "1f9ae272bb4151817866511bd970bffb22981a49", "title": "An Iterative Regression Approach for Face Pose Estimation from RGB Images", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03170.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "08ecc281cdf954e405524287ee5920e7c4fb597e", "title": "Computational Assessment of Facial Expression Production in ASD Children", "addresses": [{"name": "National Research Council, Italy", "source_name": "National Research Council, Italy", "street_adddress": "Research Private, Ottawa, ON K1V, Canada", "lat": "45.32909590", "lng": "-75.66198580", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08ec/c281cdf954e405524287ee5920e7c4fb597e.pdf"], "doi": []}, {"id": "dee406a7aaa0f4c9d64b7550e633d81bc66ff451", "title": "Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01453.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "addresses": [{"name": "Federal University of Bahia", "source_name": "Federal University of Bahia, Salvador, Bahia, Brazil", "street_adddress": "Av. Adhemar de Barros, s/n\u00ba - Ondina, Salvador - BA, 40170-110, Brazil", "lat": "-13.00246020", "lng": "-38.50897520", "type": "edu", "country": "Brazil"}, {"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Radboud University Nijmegen", "source_name": "Radboud University Nijmegen, Nijmegen, The Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "992ebd81eb448d1eef846bfc416fc929beb7d28b", "title": "Exemplar-Based Face Parsing Supplementary Material", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/992e/bd81eb448d1eef846bfc416fc929beb7d28b.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Jiaotong University", "source_name": "Jiaotong University, China", "street_adddress": "Jiaotong University, China, 200000", "lat": "31.19884000", "lng": "121.43256700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "LITIS, Universit\u00e9 de Rouen, Rouen, France", "source_name": "LITIS, Université de Rouen, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "ef52f1e2b52fd84a7e22226ed67132c6ce47b829", "title": "Online Eye Status Detection in the Wild with Convolutional Neural Networks", "addresses": [{"name": "University of Central Lancashire", "source_name": "ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.", "street_adddress": "Fylde Rd, Preston PR1 2HE, UK", "lat": "53.76413780", "lng": "-2.70924530", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ef52/f1e2b52fd84a7e22226ed67132c6ce47b829.pdf"], "doi": []}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "addresses": [{"name": "IBM Research T. J. Watson Center", "source_name": "IBM Research T. J. Watson Center, U.S.A", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "2bfccbf6f4e88a92a7b1f2b5c588b68c5fa45a92", "title": "ReenactGAN: Learning to Reenact Faces via Boundary Transfer", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11079.pdf"], "doi": []}, {"id": "f61829274cfe64b94361e54351f01a0376cd1253", "title": "Regressing a 3D Face Shape from a Single Image", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Tulyakov_Regressing_a_3D_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410784", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.427", "http://doi.org/10.1109/ICCV.2015.427"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "addresses": [{"name": "CASIA, China", "source_name": "CASIA, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755925"]}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "523db6dee0e60a2d513759fa04aa96f2fed40ff4", "title": "Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot", "addresses": [{"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy", "street_adddress": "73100 Lecce, Province of Lecce, Italy", "lat": "40.35151550", "lng": "18.17501610", "type": "edu", "country": "Italy"}, {"name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "source_name": "National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy", "street_adddress": "Messina, Province of Messina, Italy", "lat": "38.19373350", "lng": "15.55420570", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8207589", "http://doi.org/10.1109/TCDS.2017.2783684"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/95f1/2d27c3b4914e0668a268360948bce92f7db3.pdf"], "doi": []}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/hipsterwars.json b/site/datasets/verified/hipsterwars.json index e8154875..df42129e 100644 --- a/site/datasets/verified/hipsterwars.json +++ b/site/datasets/verified/hipsterwars.json @@ -1 +1 @@ -{"id": "04c2cda00e5536f4b1508cbd80041e9552880e67", "paper": {"key": "hipsterwars", "name": "Hipsterwars", "title": "Hipster Wars: Discovering Elements of Fashion Styles", "year": "2014", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "04c2cda00e5536f4b1508cbd80041e9552880e67", "paper": {"key": "hipsterwars", "name": "Hipsterwars", "title": "Hipster Wars: Discovering Elements of Fashion Styles", "year": "2014", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/hrt_transgender.json b/site/datasets/verified/hrt_transgender.json index 48014437..bce67604 100644 --- a/site/datasets/verified/hrt_transgender.json +++ b/site/datasets/verified/hrt_transgender.json @@ -1 +1 @@ -{"id": "137aa2f891d474fce1e7a1d1e9b3aefe21e22b34", "paper": {"key": "hrt_transgender", "name": "HRT Transgender", "title": "Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset", "year": "2013", "addresses": [{"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}]}, "citations": [{"id": "2f43b614607163abf41dfe5d17ef6749a1b61304", "title": "Investigating the Periocular-Based Face Recognition Across Gender Transformation", "addresses": [{"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915725"]}, {"id": "e6d46d923f201da644ae8d8bd04721dd9ac0e73d", "title": "Robust transgender face recognition: Approach based on appearance and therapy factors", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "Norwegian Biometrics Laboratory, NTNU, Norway", "source_name": "Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj\u2298vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477226", "http://doi.org/10.1109/ISBA.2016.7477226"]}, {"id": "555f75077a02f33a05841f9b63a1388ec5fbcba5", "title": "A Survey on Periocular Biometrics Research", "addresses": [{"name": "Halmstad University", "source_name": "Halmstad University", "street_adddress": "H\u00f6gskolan i Halmstad, 3, Kristian IV:s v\u00e4g, Larsfrid, Nyhem, Halmstad, Hallands l\u00e4n, G\u00f6taland, 301 18, Sverige", "lat": "56.66340325", "lng": "12.87929727", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1810.03360.pdf"], "doi": []}]} \ No newline at end of file +{"id": "137aa2f891d474fce1e7a1d1e9b3aefe21e22b34", "paper": {"key": "hrt_transgender", "name": "HRT Transgender", "title": "Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset", "year": "2013", "addresses": [{"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "vetting": {"yes": 3, "no": 14, "total": 17}}, "citations": [{"id": "2f43b614607163abf41dfe5d17ef6749a1b61304", "title": "Investigating the Periocular-Based Face Recognition Across Gender Transformation", "addresses": [{"name": "University of North Carolina at Wilmington", "source_name": "University of North Carolina at Wilmington", "street_adddress": "University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.22498270", "lng": "-77.86907744", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915725"]}, {"id": "e6d46d923f201da644ae8d8bd04721dd9ac0e73d", "title": "Robust transgender face recognition: Approach based on appearance and therapy factors", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}, {"name": "Norwegian Biometrics Laboratory, NTNU, Norway", "source_name": "Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj\u2298vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477226", "http://doi.org/10.1109/ISBA.2016.7477226"]}, {"id": "555f75077a02f33a05841f9b63a1388ec5fbcba5", "title": "A Survey on Periocular Biometrics Research", "addresses": [{"name": "Halmstad University", "source_name": "Halmstad University", "street_adddress": "H\u00f6gskolan i Halmstad, 3, Kristian IV:s v\u00e4g, Larsfrid, Nyhem, Halmstad, Hallands l\u00e4n, G\u00f6taland, 301 18, Sverige", "lat": "56.66340325", "lng": "12.87929727", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1810.03360.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/ibm_dif.json b/site/datasets/verified/ibm_dif.json index b1e8890f..fd991f7e 100644 --- a/site/datasets/verified/ibm_dif.json +++ b/site/datasets/verified/ibm_dif.json @@ -1 +1 @@ -{"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "paper": {"key": "ibm_dif", "name": "IBM Diversity in Faces", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "paper": {"key": "ibm_dif", "name": "IBM Diversity in Faces", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/ifad.json b/site/datasets/verified/ifad.json index 9f2c5c7e..b98d86da 100644 --- a/site/datasets/verified/ifad.json +++ b/site/datasets/verified/ifad.json @@ -1 +1 @@ -{"id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "paper": {"key": "ifad", "name": "IFAD", "title": "Indian Face Age Database: A Database for Face Recognition with Age Variation", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "paper": {"key": "ifad", "name": "IFAD", "title": "Indian Face Age Database: A Database for Face Recognition with Age Variation", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/ifdb.json b/site/datasets/verified/ifdb.json index 24701e78..de4e7d24 100644 --- a/site/datasets/verified/ifdb.json +++ b/site/datasets/verified/ifdb.json @@ -1 +1 @@ -{"id": "066d71fcd997033dce4ca58df924397dfe0b5fd1", "paper": {"key": "ifdb", "name": "IFDB", "title": "Iranian Face Database and Evaluation with a New Detection Algorithm", "year": "2007", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}]}, "citations": []} \ No newline at end of file +{"id": "066d71fcd997033dce4ca58df924397dfe0b5fd1", "paper": {"key": "ifdb", "name": "IFDB", "title": "Iranian Face Database and Evaluation with a New Detection Algorithm", "year": "2007", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/ijb_a.json b/site/datasets/verified/ijb_a.json index 8cfd0663..cbb51a68 100644 --- a/site/datasets/verified/ijb_a.json +++ b/site/datasets/verified/ijb_a.json @@ -1 +1 @@ -{"id": "140c95e53c619eac594d70f6369f518adfea12ef", "paper": {"key": "ijb_a", "name": "IJB-A", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "140c95e53c619eac594d70f6369f518adfea12ef", "paper": {"key": "ijb_a", "name": "IJB-A", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/ijb_b.json b/site/datasets/verified/ijb_b.json index 2731878d..43e978cb 100644 --- a/site/datasets/verified/ijb_b.json +++ b/site/datasets/verified/ijb_b.json @@ -1 +1 @@ -{"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "paper": {"key": "ijb_b", "name": "IJB-B", "title": "IARPA Janus Benchmark-B Face Dataset", "year": "2017", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "paper": {"key": "ijb_b", "name": "IJB-B", "title": "IARPA Janus Benchmark-B Face Dataset", "year": "2017", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/ijb_c.json b/site/datasets/verified/ijb_c.json index 1ca8d11a..abcd3370 100644 --- a/site/datasets/verified/ijb_c.json +++ b/site/datasets/verified/ijb_c.json @@ -1 +1 @@ -{"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "paper": {"key": "ijb_c", "name": "IJB-C", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "addresses": []}, "citations": [{"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "3b3941524d97e7f778367a1250ba1efb9205d5fc", "title": "Open Source Face Recognition Performance Evaluation Package", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09447.pdf"], "doi": []}, {"id": "fa03cac5aa5192822a85273852090ca20a6c47aa", "title": "Towards Interpretable Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00611.pdf"], "doi": []}]} \ No newline at end of file +{"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "paper": {"key": "ijb_c", "name": "IJB-C", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "addresses": [], "vetting": {"yes": 3, "no": 1, "total": 4}}, "citations": [{"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "3b3941524d97e7f778367a1250ba1efb9205d5fc", "title": "Open Source Face Recognition Performance Evaluation Package", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09447.pdf"], "doi": []}, {"id": "fa03cac5aa5192822a85273852090ca20a6c47aa", "title": "Towards Interpretable Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00611.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/ilids_mcts_vid.json b/site/datasets/verified/ilids_mcts_vid.json index 39e8b7a5..61276977 100644 --- a/site/datasets/verified/ilids_mcts_vid.json +++ b/site/datasets/verified/ilids_mcts_vid.json @@ -1 +1 @@ -{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "paper": {"key": "ilids_mcts_vid", "name": "iLIDS-VID", "title": "Person Re-identification by Video Ranking", "year": "2014", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "98bb029afe2a1239c3fdab517323066f0957b81b", "paper": {"key": "ilids_mcts_vid", "name": "iLIDS-VID", "title": "Person Re-identification by Video Ranking", "year": "2014", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/images_of_groups.json b/site/datasets/verified/images_of_groups.json index b63c73ae..f1372002 100644 --- a/site/datasets/verified/images_of_groups.json +++ b/site/datasets/verified/images_of_groups.json @@ -1 +1 @@ -{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "paper": {"key": "images_of_groups", "name": "Images of Groups", "title": "Understanding images of groups of people", "year": "2009", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "21d9d0deed16f0ad62a4865e9acf0686f4f15492", "paper": {"key": "images_of_groups", "name": "Images of Groups", "title": "Understanding images of groups of people", "year": "2009", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/imdb_face.json b/site/datasets/verified/imdb_face.json index ce72a660..b1333463 100644 --- a/site/datasets/verified/imdb_face.json +++ b/site/datasets/verified/imdb_face.json @@ -1 +1 @@ -{"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "paper": {"key": "imdb_face", "name": "IMDb Face", "title": "The Devil of Face Recognition is in the Noise", "year": "2018", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}]}, "citations": []} \ No newline at end of file +{"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "paper": {"key": "imdb_face", "name": "IMDb Face", "title": "The Devil of Face Recognition is in the Noise", "year": "2018", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/imdb_wiki.json b/site/datasets/verified/imdb_wiki.json index ecebf255..282473f5 100644 --- a/site/datasets/verified/imdb_wiki.json +++ b/site/datasets/verified/imdb_wiki.json @@ -1 +1 @@ -{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "paper": {"key": "imdb_wiki", "name": "IMDB-Wiki", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}]}, "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}]} \ No newline at end of file +{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "paper": {"key": "imdb_wiki", "name": "IMDB-Wiki", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "vetting": {"yes": 2, "no": 1, "total": 3}}, "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "addresses": [{"name": "Aarhus University", "source_name": "Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark", "street_adddress": "Nordre Ringgade 1, 8000 Aarhus C, Denmark", "lat": "56.16813840", "lng": "10.20301180", "type": "edu", "country": "Denmark"}, {"name": "University of California Santa Cruz", "source_name": "University of California Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "addresses": [{"name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "source_name": "German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany", "street_adddress": "Trippstadter Str. 122, 67663 Kaiserslautern, Germany", "lat": "49.42951810", "lng": "7.75138910", "type": "edu", "country": "Germany"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/imfdb.json b/site/datasets/verified/imfdb.json index 966cf228..715b0703 100644 --- a/site/datasets/verified/imfdb.json +++ b/site/datasets/verified/imfdb.json @@ -1 +1 @@ -{"id": "ca3e88d87e1344d076c964ea89d91a75c417f5ee", "paper": {"key": "imfdb", "name": "IMFDB", "title": "Indian Movie Face Database: A benchmark for face recognition under wide variations", "year": "2013", "addresses": [{"name": "BVBCET, Hubli, India", "source_name": "BVBCET, Hubli, India", "street_adddress": "Vidya Nagar, Hubballi, Karnataka 580031, India", "lat": "15.36883320", "lng": "75.12137960", "type": "edu", "country": "India"}]}, "citations": []} \ No newline at end of file +{"id": "ca3e88d87e1344d076c964ea89d91a75c417f5ee", "paper": {"key": "imfdb", "name": "IMFDB", "title": "Indian Movie Face Database: A benchmark for face recognition under wide variations", "year": "2013", "addresses": [{"name": "BVBCET, Hubli, India", "source_name": "BVBCET, Hubli, India", "street_adddress": "Vidya Nagar, Hubballi, Karnataka 580031, India", "lat": "15.36883320", "lng": "75.12137960", "type": "edu", "country": "India"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/kin_face.json b/site/datasets/verified/kin_face.json index 9759f863..e28d831d 100644 --- a/site/datasets/verified/kin_face.json +++ b/site/datasets/verified/kin_face.json @@ -1 +1 @@ -{"id": "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "paper": {"key": "kin_face", "name": "UB KinFace", "title": "Understanding Kin Relationships in a Photo", "year": "2012", "addresses": [{"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "paper": {"key": "kin_face", "name": "UB KinFace", "title": "Understanding Kin Relationships in a Photo", "year": "2012", "addresses": [{"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/lag.json b/site/datasets/verified/lag.json index 5f36a18e..583cce7b 100644 --- a/site/datasets/verified/lag.json +++ b/site/datasets/verified/lag.json @@ -1 +1 @@ -{"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "paper": {"key": "lag", "name": "LAG", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "paper": {"key": "lag", "name": "LAG", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/laofiw.json b/site/datasets/verified/laofiw.json index 0f2d962c..f0d3a6ed 100644 --- a/site/datasets/verified/laofiw.json +++ b/site/datasets/verified/laofiw.json @@ -1 +1 @@ -{"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "paper": {"key": "laofiw", "name": "LAOFIW", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "paper": {"key": "laofiw", "name": "LAOFIW", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "year": "2018", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/leeds_sports_pose.json b/site/datasets/verified/leeds_sports_pose.json index d5397907..923cc988 100644 --- a/site/datasets/verified/leeds_sports_pose.json +++ b/site/datasets/verified/leeds_sports_pose.json @@ -1 +1 @@ -{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "paper": {"key": "leeds_sports_pose", "name": "Leeds Sports Pose", "title": "Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation", "year": "2010", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "paper": {"key": "leeds_sports_pose", "name": "Leeds Sports Pose", "title": "Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation", "year": "2010", "addresses": [], "vetting": {"yes": 89, "no": 70, "total": 159}}, "citations": [{"id": "54378aef6ec3423ad44d61de61b301be9f5c686d", "title": "Deep learning for visual understanding: A review", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": ["https://deeplearning.ir/wp-content/uploads/2016/07/Deep-learning-for-visual-understanding_-A-review.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.09.116"]}, {"id": "669b9fd79eb39f712527ee616e35e50eea7fd2fa", "title": "Human Pose Estimation Using Body Parts Dependent Joint Regressors", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_humanpose2d_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d041.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dantone_Human_Pose_Estimation_2013_CVPR_paper.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/126/jgall_humanpose2d_cvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619235", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.391", "http://doi.org/10.1109/CVPR.2013.391"]}, {"id": "6b913b4b4d071b2c91a6fbc317282bf5f610a274", "title": "Subspace Procrustes Analysis", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "source_name": "Fundaci\u00f3 Privada Sant Antoni Abat, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer de Sant Josep, 21, 23, 08800 Vilanova i la Geltr\u00fa, Barcelona, Spain", "lat": "41.22880090", "lng": "1.72194950", "type": "edu", "country": "Spain"}, {"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "source_name": "Universitat Polit\u00e8cnica de Catalunya, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Carrer Meta\u0140l\u00fargia, 11, 08800 Villanueva y Geltr\u00fa, Barcelona, Spain", "lat": "41.22311030", "lng": "1.73564710", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["http://humansensing.cs.cmu.edu/papers/subspace_pa.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w05/W05-31.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/subspace_pa.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0938-x", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2171&context=robotics"]}, {"id": "e1d1ed79174cd8442409bcb3f296101852ddcb95", "title": "Theory and Practice of Globally Optimal Deformation Estimation", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e1d1/ed79174cd8442409bcb3f296101852ddcb95.pdf"], "doi": []}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "2e1ff08fb5790e3b5ba7864408628467795a9df4", "title": "Human Pose Estimation with Fields of Parts", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf", "http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/177/main.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/html/8693/86930331/esm1.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930331.pdf", "http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Kiefel-Gehler-ECCV14.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_22"]}, {"id": "4e9dd2f7982dc71db5505dba7d7264d263dd93d6", "title": "Learning a sequential search for landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_landmarks_cvpr2015.pdf", "http://vision.cs.uiuc.edu/projects/lssland/lsslandmark.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_010_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298964", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298964", "http://doi.org/10.1109/CVPR.2015.7298964"]}, {"id": "4543052aeaf52fdb01fced9b3ccf97827582cef5", "title": "Quantized Densely Connected U-Nets for Efficient Landmark Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02194.pdf"], "doi": []}, {"id": "235f8e797bc10561ecd684023d2c980d990ea217", "title": "End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Yang_End-To-End_Learning_of_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf", "http://www.ee.cuhk.edu.hk/~wyang/Deep-Deformable-Mixture-of-Parts-for-Human-Pose-Estimation/cvpr2016_id109_pose_wyang_v9_PDF.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/yangOLWcvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.335", "http://doi.org/10.1109/CVPR.2016.335"]}, {"id": "a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e", "title": "Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a6b2/c5c527557cc86ae2ce4332b18a7850ee4e1e.pdf"], "doi": []}, {"id": "312620fb93a30b0448ec8ffd728b8ee2858ef74c", "title": "Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "addresses": [{"name": "Istituto Italiano di Tecnologia", "source_name": "Istituto Italiano di Tecnologia", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05671.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "02a88a2f2765b17c9ea76fe13148b4b8a9050b95", "title": "DeepPose: Human Pose Estimation via Deep Neural Networks", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.4659.pdf"], "doi": []}, {"id": "212211d642aa75f66f8ad3ec04da3a4cc089a5b3", "title": "Learning to Localize Little Landmarks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://dhoiem.cs.illinois.edu/publications/singh_cvpr2016_landmarks.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf", "http://vision.cs.illinois.edu/projects/litland/littleland.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780404", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.35", "http://doi.org/10.1109/CVPR.2016.35"]}, {"id": "a48c71153265d6da7fbc4b16327320a5cbfa6cba", "title": "Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a48c/71153265d6da7fbc4b16327320a5cbfa6cba.pdf"], "doi": []}, {"id": "e96a3d4df7f6956ba185107747c3d7c16d1ed845", "title": "Unite the People: Closing the Loop Between 3D and 2D Human Representations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02468.pdf"], "doi": []}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "66986f4359c3507d671bad021d6fb2d6fa6aa2c0", "title": "Appearance sharing for collective human pose estimation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12accv.pdf", "https://www.research.ed.ac.uk/portal/files/17289242/Eichner_Ferrari_2012_Appearance_Sharing_for_Collective_Human_Pose_Estimation.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-37331-2_11"]}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "6111832ed676ad0789d030577c87d4a539242bd3", "title": "CU-Net: Coupled U-Nets", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06521.pdf"], "doi": []}, {"id": "4209f140d64ce6fb891eb6ada26eaeb40af123e2", "title": "Deep Fully-Connected Part-Based Models for Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4209/f140d64ce6fb891eb6ada26eaeb40af123e2.pdf"], "doi": []}, {"id": "d847d2b75bf301007a9e67889bdae5b147559ed3", "title": "Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03880.pdf"], "doi": []}, {"id": "af10467547324b6eb1393a6148d8291539eeea1c", "title": "Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}, {"name": "Aberystwyth University", "source_name": "Aberystwyth University", "street_adddress": "Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK", "lat": "52.41073580", "lng": "-4.05295501", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://csvision.swan.ac.uk/uploads/Site/Publication/ivc2016.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.010"]}, {"id": "4a56d5e483ddea93f14bfbe350a3063b2b9126cb", "title": "Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models", "addresses": [{"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://ambient.naist.jp/member/ukita/MyPapers/HACI2013.pdf", "http://haci2013.umiacs.umd.edu/papers/UkitaHACI2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W18/papers/Ukita_Iterative_Action_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755935"]}, {"id": "45e8ef229fae18b0a2ab328037d8e520866c3c81", "title": "Learning Feature Pyramids for Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01101.pdf"], "doi": []}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "7ae8bca039d0d3de01001c3cd587f1961c4bbe22", "title": "Learning Visual Symbols for Parsing Human Poses in Images", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1304.6291.pdf"], "doi": []}, {"id": "309acdd149f5f0ea12acb103b36bb59e6e631671", "title": "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "addresses": [{"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.00295.pdf"], "doi": []}, {"id": "484c2617471fd742c4806f9281e5add45c6831a7", "title": "LSTM Self-Supervision for Detailed Behavior Analysis", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Brattoli_LSTM_Self-Supervision_for_CVPR_2017_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1911875248/brattoli_buechler_cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.399", "http://doi.org/10.1109/CVPR.2017.399"]}, {"id": "64bd5878170bfab423bc3fc38d693202ef4ba6b6", "title": "Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "Universidad Rey Juan Carlos, Spain", "source_name": "Universidad Rey Juan Carlos, Spain", "street_adddress": "Calle Tulip\u00e1n, s/n, 28933 M\u00f3stoles, Madrid, Spain", "lat": "40.33586610", "lng": "-3.87694320", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09813.pdf"], "doi": []}, {"id": "25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b", "title": "Neural Networks with Smooth Adaptive Activation Functions for Regression", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}, {"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.06557.pdf"], "doi": []}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "7792fbc59f3eafc709323cdb63852c5d3a4b23e9", "title": "Pose from Action: Unsupervised Learning of Pose Features based on Motion", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05420.pdf"], "doi": []}, {"id": "a287643d3eddca3dcc09b3532f2b070a28d4a022", "title": "Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07420.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "c96bd1a584d0e5d86148cfcab0f573825bc3fb5b", "title": "Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5228/d61d0706cf4f7032bdd13772e6748819caf0.pdf"], "doi": []}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "4696031ddcdfab8b768817fd974b601b6b68c7f1", "title": "3D Pose Estimation from a Single Monocular Image", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4696/031ddcdfab8b768817fd974b601b6b68c7f1.pdf"], "doi": []}, {"id": "72282287f25c5419dc6fd9e89ec9d86d660dc0b5", "title": "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07495.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9", "title": "Accurate static pose estimation combining direct regression and geodesic extrema", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808959/1/Holt_FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553768", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553768", "http://doi.org/10.1109/FG.2013.6553768"]}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "47382cb7f501188a81bb2e10cfd7aed20285f376", "title": "Articulated Pose Estimation Using Hierarchical Exemplar-Based Models", "addresses": [{"name": "Columbia University ", "source_name": "Columbia University in the City of New York", "street_adddress": "Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA", "lat": "40.80717720", "lng": "-73.96252798", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04118.pdf"], "doi": []}, {"id": "550c8162757b9fb649efab8529d86daa99700fb1", "title": "Athlete Pose Estimation by a Global-Local Network", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w2/papers/Hwang_Athlete_Pose_Estimation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014754", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.20", "http://doi.org/10.1109/CVPRW.2017.20"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "31e8d53b144efe60be647f8d93e824bf8d0f4161", "title": "BodyNet: Volumetric Inference of 3D Human Body Shapes", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04875.pdf"], "doi": []}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "33526226231cce669317ece44e6af262b8395dd9", "title": "CRF-CNN: Modeling Structured Information in Human Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00468.pdf"], "doi": []}, {"id": "f0c21345a13c0e1da2b74aef4e8b987feb266bb5", "title": "Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08985.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "fa747db22e9e6cd7a64019eec6e0dd53e94be4b3", "title": "DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06364.pdf"], "doi": []}, {"id": "e73696016b43314a7bef6015dacbe702af472d96", "title": "End-to-End Recovery of Human Shape and Pose", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06584.pdf"], "doi": []}, {"id": "cd87fea30b68ad1c9ebcb71a224c53cde3516adb", "title": "EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd87/fea30b68ad1c9ebcb71a224c53cde3516adb.pdf"], "doi": []}, {"id": "4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7", "title": "Fashion Landmark Detection in the Wild", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.03049.pdf"], "doi": []}, {"id": "100c452a508711c11ab643d52e54c441cf58403e", "title": "Fast Human Pose Estimation", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05419.pdf"], "doi": []}, {"id": "f3062992cb10107b9d1e3699c8a61d5281886c4b", "title": "Foreground Consistent Human Pose Estimation Using Branch and Bound", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f306/2992cb10107b9d1e3699c8a61d5281886c4b.pdf"], "doi": []}, {"id": "7b70ba9f7b3868371677816e6c9b5022f4976f57", "title": "From pixels to gestures: learning visual representations for human analysis in color and depth data sequences", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://diposit.ub.edu/dspace/bitstream/2445/65589/1/AHV_PhD_THESIS.pdf", "https://ddd.uab.cat/pub/elcvia/elcvia_a2015v14n3/elcvia_a2015v14n3p26.pdf"], "doi": ["https://doi.org/10.5565/rev%2Felcvia.723"]}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "d02b32b012ffba2baeb80dca78e7857aaeececb0", "title": "Human Pose Estimation : Extension and Application", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d02b/32b012ffba2baeb80dca78e7857aaeececb0.pdf"], "doi": []}, {"id": "1caac27548cc7f98380e4e95ccbc8e6e164489c8", "title": "Human Pose Estimation using Deep Consensus Voting", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08212.pdf"], "doi": []}, {"id": "00f17fca3cf3ab4262edde3626e6230a89ff1a1f", "title": "Human Pose Estimation with Iterative Error Feedback", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.06550.pdf"], "doi": []}, {"id": "97295e92dfe49f37de65c5130097ccab84cfe2f7", "title": "Inner Space Preserving Generative Pose Machine", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02104.pdf"], "doi": []}, {"id": "fed58c1faf9af15e1215e47a432f84b840f42857", "title": "Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed5/8c1faf9af15e1215e47a432f84b840f42857.pdf"], "doi": []}, {"id": "81fc46dd71121cfafbb11455745ae62f6eca0b25", "title": "Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/81fc/46dd71121cfafbb11455745ae62f6eca0b25.pdf"], "doi": []}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "6a3a07deadcaaab42a0689fbe5879b5dfc3ede52", "title": "Learning to Estimate Pose by Watching Videos", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04081.pdf"], "doi": []}, {"id": "b7a09eaadcb21bf9ab234d87c954e329518580c5", "title": "Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05708.pdf"], "doi": []}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "87a66ccc68374ffb704ee6fb9fa7df369718095c", "title": "Multi-Person Pose Estimation with Local Joint-to-Person Associations", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08526.pdf"], "doi": []}, {"id": "b4e8abb2a5220732002e1086fb4a214122213fea", "title": "Multi-view Part-based Models for 3D Human Pose Estimation in Real-World Scenes", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4e8/abb2a5220732002e1086fb4a214122213fea.pdf"], "doi": []}, {"id": "c81b303005459285a5864ea4de71f77025cd5be5", "title": "Norm-Induced Entropies for Decision Forests", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/225/Norm-induced_entropies-Lassner.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045988", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.134", "http://doi.org/10.1109/WACV.2015.134"]}, {"id": "4ffe93dfb895c86ebad874c70113c4870c9bd5e3", "title": "Pose Machines: Articulated Pose Estimation via Inference Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67dc/de46f8188f3f0676b7529a2e5828ab611e4d.pdf"], "doi": []}, {"id": "d95213a0ef820c93bf0a41e1ce24aea1dc9f137d", "title": "Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d952/13a0ef820c93bf0a41e1ce24aea1dc9f137d.pdf"], "doi": []}, {"id": "aba742ca4edc7dd37ff481d12e4b94c153baae77", "title": "Pose-Guided Human Parsing with Deep Learned Features", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03881.pdf"], "doi": []}, {"id": "4065d038ecbda579a0791aaf46fc62bbcba5b1f3", "title": "Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4065/d038ecbda579a0791aaf46fc62bbcba5b1f3.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "5afd6c5eb5cc1e8496bb78b8f7b3a00b2900deb3", "title": "Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02179.pdf"], "doi": []}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "1c9a61c8ec255d033201fb9b394b283a6b6acacc", "title": "Structured Feature Learning for Pose Estimation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09065.pdf"], "doi": []}, {"id": "09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1", "title": "Synthesizing Training Images for Boosting Human 3D Pose Estimation", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02703.pdf"], "doi": []}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "008baae7037a47f69804c2eb8438d366a6e67486", "title": "3D Human Pose Estimation via Deep Learning from 2D Annotations", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cs.bc.edu/~hjiang/papers/conference/3dv16.pdf", "http://www.cs.bc.edu/~hjiang/papers/conference/3dv16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785134", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.84", "http://doi.org/10.1109/3DV.2016.84"]}]} \ No newline at end of file diff --git a/site/datasets/verified/leeds_sports_pose_extended.json b/site/datasets/verified/leeds_sports_pose_extended.json index 4664bd29..c8084d17 100644 --- a/site/datasets/verified/leeds_sports_pose_extended.json +++ b/site/datasets/verified/leeds_sports_pose_extended.json @@ -1 +1 @@ -{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "paper": {"key": "leeds_sports_pose_extended", "name": "Leeds Sports Pose Extended", "title": "Learning effective human pose estimation from inaccurate annotation", "year": "2011", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}]}, "citations": []} \ No newline at end of file +{"id": "4e4746094bf60ee83e40d8597a6191e463b57f76", "paper": {"key": "leeds_sports_pose_extended", "name": "Leeds Sports Pose Extended", "title": "Learning effective human pose estimation from inaccurate annotation", "year": "2011", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "vetting": {"yes": 21, "no": 81, "total": 102}}, "citations": [{"id": "21cfe8372be299be84818b4bcbe07fa6736540b6", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/GkioxariCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d342.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Gkioxari_Articulated_Pose_Estimation_2013_CVPR_paper.pdf", "https://people.eecs.berkeley.edu/~gkioxari/GkioxariCVPR2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.429", "http://doi.org/10.1109/CVPR.2013.429"]}, {"id": "9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66", "title": "Human Pose Estimation Using Global and Local Normalization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07220.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "e5ab1ab5cae0bf5103b6a1bbb2e8f078d0b01df3", "title": "Ensemble convolutional neural networks for pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology", "source_name": "Nara Institute of Science and Technology", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}, {"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu18_pose_estimation.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.12.005"]}, {"id": "75b1790ffcf51489fcfbf14b11f1b90a076345cc", "title": "A Coarse-Fine Network for Keypoint Localization", "addresses": [{"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_A_Coarse-Fine_Network_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.329", "http://doi.org/10.1109/ICCV.2017.329"]}, {"id": "0eae752f8949d97e41831e509da721ad673dfc2b", "title": "Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Fu_Beyond_Tree_Structure_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410586", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.229", "http://doi.org/10.1109/ICCV.2015.229"]}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "a6f1e230ed26eb93474ade60e8f31b3aa389162d", "title": "Appearance dependent inter-part relationship for human pose estimation", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://cv.snu.ac.kr/publication/conf/2016/yumin_APSIPA2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820757", "http://doi.org/10.1109/APSIPA.2016.7820757"]}, {"id": "7dba0e39bb059103e10fb81bce2fe831f520fb38", "title": "Articulated human pose estimation in natural images", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7dba/0e39bb059103e10fb81bce2fe831f520fb38.pdf"], "doi": []}, {"id": "28795f32b324eb3601e9a8c1ce93335691e120f3", "title": "CliqueCNN: Deep Unsupervised Exemplar Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08792.pdf"], "doi": []}, {"id": "270f029b03ee1bdfeae4ff4c5167b450d185a981", "title": "Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07159.pdf"], "doi": []}, {"id": "25f5df29342a04936ba0d308b4d1b8245a7e8f5c", "title": "Convolutional Pose Machines", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00134.pdf"], "doi": []}, {"id": "aad7f9eeb10d4f655c3e3d18d3542603ad3071b4", "title": "Deep Unsupervised Learning of Visual Similarities", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08562.pdf"], "doi": []}, {"id": "1f4aa88107d7c4b91b1436b721b7630b93ce7d06", "title": "Deeply Learned Compositional Models for Human Pose Estimation", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1f4a/a88107d7c4b91b1436b721b7630b93ce7d06.pdf"], "doi": []}, {"id": "0f7bf963a06682d69387c54632cec9e835423617", "title": "Gamesourcing to acquire labeled human pose estimation data", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://facstaff.elon.edu/sspurlock/papers/souvenir12_cvcg.pdf", "https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239174", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239174", "http://doi.org/10.1109/CVPRW.2012.6239174"]}, {"id": "b769007cb6931464168f63ebb4571e46d8c804b7", "title": "Human Pose Estimation and Activity Classification Using Convolutional Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b769/007cb6931464168f63ebb4571e46d8c804b7.pdf"], "doi": []}, {"id": "2d02cf53bc0f2d919b89bec8f9160b50916bb625", "title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2984.pdf"], "doi": []}, {"id": "2dd46b83a1cf5c7c811a462728d9797c270c2cb4", "title": "Recurrent Human Pose Estimation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.02914.pdf"], "doi": []}, {"id": "85d8c16ccd76e2eec303f98f2d1ab239dc3947a2", "title": "Self Adversarial Training for Human Pose Estimation", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02439.pdf"], "doi": []}, {"id": "1604d194e93b9e74f2e68bd80ee2a7afca9dfa26", "title": "A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9922/7909e5733d76b0d50fc3fab975ab7a43fce3.pdf"], "doi": []}, {"id": "20cdaf21acd50fd2cfbdd0eb697a8906cfb012e2", "title": "An Efficient Convolutional Network for Human Pose Estimation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c73/514a10fa3381199b1523d5b6a37ddf783521.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/lfpw.json b/site/datasets/verified/lfpw.json index aa6789ba..1cc7491c 100644 --- a/site/datasets/verified/lfpw.json +++ b/site/datasets/verified/lfpw.json @@ -1 +1 @@ -{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "paper": {"key": "lfpw", "name": "LFPW", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "year": "2011", "addresses": []}, "citations": [{"id": "ac51d9ddbd462d023ec60818bac6cdae83b66992", "title": "An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://downloads.hindawi.com/journals/cin/2015/709072.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26504460", "http://doi.org/10.1155/2015%2F709072", "https://www.wikidata.org/entity/Q36173072"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "63fd7a159e58add133b9c71c4b1b37b899dd646f", "title": "Exemplar-Based Human Action Pose Correction", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://wei-shen.weebly.com/uploads/2/3/8/2/23825939/posecorrection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603332", "http://doi.org/10.1109/TCYB.2013.2279071", "https://www.ncbi.nlm.nih.gov/pubmed/24058046", "https://www.wikidata.org/entity/Q43796448"]}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "title": "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip_2014.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip1.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/eleftheriadis_tip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6967830", "http://doi.org/10.1109/TIP.2014.2375634", "https://www.ncbi.nlm.nih.gov/pubmed/25438312", "https://www.wikidata.org/entity/Q50620802"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "7a0b78879a13bd42c63cd947f583129137b16830", "title": "A Multiresolution 3D Morphable Face Model and Fitting Framework", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7a0b/78879a13bd42c63cd947f583129137b16830.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "3c88ffb74573c87c994106b3ae164f316182fc2c", "title": "Shape-appearance-correlated active appearance model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/43334/1/SAC-AAM_v10_Huiling_20151023_modifiedVersion.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.002"]}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "4c87aafa779747828054cffee3125fcea332364d", "title": "View-Constrained Latent Variable Model for Multi-view Facial Expression Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c87/aafa779747828054cffee3125fcea332364d.pdf"], "doi": []}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "1a140d9265df8cf50a3cd69074db7e20dc060d14", "title": "Face Parts Localization Using Structured-Output Regression Forests", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a14/0d9265df8cf50a3cd69074db7e20dc060d14.pdf"], "doi": []}, {"id": "5e97a1095f2811e0bc188f52380ea7c9c460c896", "title": "Facial feature parsing and landmark detection via low-rank matrix decomposition", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.utk.edu/~rguo1/FacialParsing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351510", "http://doi.org/10.1109/ICIP.2015.7351510"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "e5533c70706109ee8d0b2a4360fbe73fd3b0f35d", "title": "How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07332.pdf"], "doi": []}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial Landmark Localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "title": "Rejecting pseudo-faces using the likelihood of facial features and skin", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2012/BTAS%20144.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374602", "http://doi.org/10.1109/BTAS.2012.6374602"]}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "addresses": [{"name": "Australian National University, Canberra", "source_name": "Australian National University, Canberra", "street_adddress": "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "lat": "-35.28121335", "lng": "149.11665331", "type": "edu", "country": "Australia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"], "doi": []}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "91883dabc11245e393786d85941fb99a6248c1fb", "title": "Face Alignment In-the-Wild: A Survey", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.04188.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "bd8e2d27987be9e13af2aef378754f89ab20ce10", "title": "Facial feature points detecting based on Gaussian Mixture Models", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.11.004"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c", "title": "Fast Localization of Facial Landmark Points", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6888.pdf"], "doi": []}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "fd615118fb290a8e3883e1f75390de8a6c68bfde", "title": "Joint Face Alignment with Non-parametric Shape Models", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fd61/5118fb290a8e3883e1f75390de8a6c68bfde.pdf"], "doi": []}, {"id": "47471105d9ee2276e14ab4a3a4d66ef58612188f", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}]} \ No newline at end of file +{"id": "140438a77a771a8fb656b39a78ff488066eb6b50", "paper": {"key": "lfpw", "name": "LFPW", "title": "Localizing Parts of Faces Using a Consensus of Exemplars", "year": "2011", "addresses": [], "vetting": {"yes": 146, "no": 161, "total": 307}}, "citations": [{"id": "ac51d9ddbd462d023ec60818bac6cdae83b66992", "title": "An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": ["http://downloads.hindawi.com/journals/cin/2015/709072.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26504460", "http://doi.org/10.1155/2015%2F709072", "https://www.wikidata.org/entity/Q36173072"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "63fd7a159e58add133b9c71c4b1b37b899dd646f", "title": "Exemplar-Based Human Action Pose Correction", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://wei-shen.weebly.com/uploads/2/3/8/2/23825939/posecorrection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603332", "http://doi.org/10.1109/TCYB.2013.2279071", "https://www.ncbi.nlm.nih.gov/pubmed/24058046", "https://www.wikidata.org/entity/Q43796448"]}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "266ed43dcea2e7db9f968b164ca08897539ca8dd", "title": "Beyond Principal Components: Deep Boltzmann Machines for face modeling", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299111", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299111", "http://doi.org/10.1109/CVPR.2015.7299111"]}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "75fd9acf5e5b7ed17c658cc84090c4659e5de01d", "title": "Project-Out Cascaded Regression with an application to face alignment", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://eprints.nottingham.ac.uk/31442/1/tzimiro_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_035_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298989", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298989", "http://doi.org/10.1109/CVPR.2015.7298989"]}, {"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "5e9ec3b8daa95d45138e30c07321e386590f8ec7", "title": "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip_2014.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/eleftheriadis_tip1.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/eleftheriadis_tip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6967830", "http://doi.org/10.1109/TIP.2014.2375634", "https://www.ncbi.nlm.nih.gov/pubmed/25438312", "https://www.wikidata.org/entity/Q50620802"]}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "7a0b78879a13bd42c63cd947f583129137b16830", "title": "A Multiresolution 3D Morphable Face Model and Fitting Framework", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7a0b/78879a13bd42c63cd947f583129137b16830.pdf"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "ceeb67bf53ffab1395c36f1141b516f893bada27", "title": "Face Alignment by Local Deep Descriptor Regression", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07950.pdf"], "doi": []}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "72e10a2a7a65db7ecdc7d9bd3b95a4160fab4114", "title": "Face alignment using cascade Gaussian process regression trees", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_094_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_094_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299048", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299048", "http://doi.org/10.1109/CVPR.2015.7299048"]}, {"id": "4b6387e608afa83ac8d855de2c9b0ae3b86f31cc", "title": "Face Sketch Landmarks Localization in the Wild", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Heng_Yang3/publication/263813517_Face_Sketch_Landmarks_Localization_in_the_Wild/links/53d3dd3b0cf220632f3ce8b3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6844836", "http://doi.org/10.1109/LSP.2014.2333544"]}, {"id": "ebedc841a2c1b3a9ab7357de833101648281ff0e", "title": "Facial landmarking for in-the-wild images with local inference based on global appearance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885615000116-main.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.004"]}, {"id": "2f7aa942313b1eb12ebfab791af71d0a3830b24c", "title": "Feature-Based Lucas\u2013Kanade and Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2015feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7104116", "http://doi.org/10.1109/TIP.2015.2431445", "https://www.ncbi.nlm.nih.gov/pubmed/25966479", "https://www.wikidata.org/entity/Q47652714"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "65126e0b1161fc8212643b8ff39c1d71d262fbc1", "title": "Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model", "addresses": [{"name": "University of California Irvine", "source_name": "University of California Irvine, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiF_CVPR_2014/GhiasiF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Occlusion_Coherence_Localizing_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gf-cvpr14-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909641", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.306", "http://doi.org/10.1109/CVPR.2014.306"]}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d", "title": "Robust Deep Appearance Models", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00659.pdf"], "doi": []}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "3c88ffb74573c87c994106b3ae164f316182fc2c", "title": "Shape-appearance-correlated active appearance model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/43334/1/SAC-AAM_v10_Huiling_20151023_modifiedVersion.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.002"]}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"], "doi": []}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "4c87aafa779747828054cffee3125fcea332364d", "title": "View-Constrained Latent Variable Model for Multi-view Facial Expression Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c87/aafa779747828054cffee3125fcea332364d.pdf"], "doi": []}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark Detection", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"], "doi": []}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "addresses": [{"name": "Normandie University", "source_name": "Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "f633d6dc02b2e55eb24b89f2b8c6df94a2de86dd", "title": "Face alignment by robust discriminative Hough voting", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/journal/2016/JXPR-2016.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/x-jin-pr.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.05.017"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "1a140d9265df8cf50a3cd69074db7e20dc060d14", "title": "Face Parts Localization Using Structured-Output Regression Forests", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1a14/0d9265df8cf50a3cd69074db7e20dc060d14.pdf"], "doi": []}, {"id": "5e97a1095f2811e0bc188f52380ea7c9c460c896", "title": "Facial feature parsing and landmark detection via low-rank matrix decomposition", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://web.eecs.utk.edu/~rguo1/FacialParsing.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351510", "http://doi.org/10.1109/ICIP.2015.7351510"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "e5533c70706109ee8d0b2a4360fbe73fd3b0f35d", "title": "How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07332.pdf"], "doi": []}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "2c14c3bb46275da5706c466f9f51f4424ffda914", "title": "L2, 1-based regression and prediction accumulation across views for robust facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_l21-based_regression_and_prediction_accumulation_across_views_for_robust_facial_landmark_detection.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/2015IVC_L21.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.09.003"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "0f81b0fa8df5bf3fcfa10f20120540342a0c92e5", "title": "Mirror, mirror on the wall, tell me, is the error small?", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.05152.pdf"], "doi": []}, {"id": "daa4cfde41d37b2ab497458e331556d13dd14d0b", "title": "Multi-view Constrained Local Models for Large Head Angle Facial Tracking", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Rajamanoharan_Multi-View_Constrained_Local_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406477", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.128", "http://doi.org/10.1109/ICCVW.2015.128"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "bd13f50b8997d0733169ceba39b6eb1bda3eb1aa", "title": "Occlusion Coherence: Detecting and Localizing Occluded Faces", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.08347.pdf"], "doi": []}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial Landmark Localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015", "title": "Rejecting pseudo-faces using the likelihood of facial features and skin", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://www.cvip.louisville.edu/wwwcvip/research/publications/Pub_Pdf/2012/BTAS%20144.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374602", "http://doi.org/10.1109/BTAS.2012.6374602"]}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "addresses": [{"name": "Australian National University, Canberra", "source_name": "Australian National University, Canberra", "street_adddress": "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "lat": "-35.28121335", "lng": "149.11665331", "type": "edu", "country": "Australia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "77875d6e4d8c7ed3baeb259fd5696e921f59d7ad", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"], "doi": []}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"], "doi": []}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "91883dabc11245e393786d85941fb99a6248c1fb", "title": "Face Alignment In-the-Wild: A Survey", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.04188.pdf"], "doi": []}, {"id": "38192a0f9261d9727b119e294a65f2e25f72d7e6", "title": "Facial feature point detection: A comprehensive survey", "addresses": [{"name": "Birkbeck College, London, UK", "source_name": "Birkbeck College, London, UK", "street_adddress": "Malet St, Bloomsbury, London WC1E 7HX, UK", "lat": "51.52197500", "lng": "-0.13046200", "type": "edu", "country": "United Kingdom"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1410.1037.pdf"], "doi": []}, {"id": "bd8e2d27987be9e13af2aef378754f89ab20ce10", "title": "Facial feature points detecting based on Gaussian Mixture Models", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.11.004"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "ebd5df2b4105ba04cef4ca334fcb9bfd6ea0430c", "title": "Fast Localization of Facial Landmark Points", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6888.pdf"], "doi": []}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "fd615118fb290a8e3883e1f75390de8a6c68bfde", "title": "Joint Face Alignment with Non-parametric Shape Models", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fd61/5118fb290a8e3883e1f75390de8a6c68bfde.pdf"], "doi": []}, {"id": "47471105d9ee2276e14ab4a3a4d66ef58612188f", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}, {"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "2724ba85ec4a66de18da33925e537f3902f21249", "title": "Robust Face Landmark Estimation under Occlusion", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751298"]}, {"id": "1035b073455165a31de875390977c8c09a672f2d", "title": "Robust Facial Landmark Localization Under Simultaneous Real-World Degradations", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1035/b073455165a31de875390977c8c09a672f2d.pdf"], "doi": []}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/lfw.json b/site/datasets/verified/lfw.json index 1d7f184c..ef6c4529 100644 --- a/site/datasets/verified/lfw.json +++ b/site/datasets/verified/lfw.json @@ -1 +1 @@ -{"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "paper": {"key": "lfw", "name": "LFW", "title": "Labeled Faces in the Wild : Updates and New Reporting Procedures", "year": "2014", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "paper": {"key": "lfw", "name": "LFW", "title": "Labeled Faces in the Wild : Updates and New Reporting Procedures", "year": "2014", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/mafa.json b/site/datasets/verified/mafa.json index eab44036..75670e27 100644 --- a/site/datasets/verified/mafa.json +++ b/site/datasets/verified/mafa.json @@ -1 +1 @@ -{"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "paper": {"key": "mafa", "name": "MAsked FAces", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "addresses": []}, "citations": [{"id": "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "title": "Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96f0/69b1bd2e4c41c8eb6dc3790c981cf2d67604.pdf"], "doi": []}, {"id": "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "title": "Face Attention Network: An Effective Face Detector for the Occluded Faces", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07246.pdf"], "doi": []}, {"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05188.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}]} \ No newline at end of file +{"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "paper": {"key": "mafa", "name": "MAsked FAces", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "addresses": [], "vetting": {"yes": 4, "no": 1, "total": 5}}, "citations": [{"id": "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "title": "Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96f0/69b1bd2e4c41c8eb6dc3790c981cf2d67604.pdf"], "doi": []}, {"id": "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "title": "Face Attention Network: An Effective Face Detector for the Occluded Faces", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07246.pdf"], "doi": []}, {"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05188.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/market_1501.json b/site/datasets/verified/market_1501.json index 7ccc1ff0..67c8f91e 100644 --- a/site/datasets/verified/market_1501.json +++ b/site/datasets/verified/market_1501.json @@ -1 +1 @@ -{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "paper": {"key": "market_1501", "name": "Market 1501", "title": "Scalable Person Re-identification: A Benchmark", "year": "2015", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "addresses": [{"name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "source_name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "addresses": [{"name": "Pierre and Marie Curie University", "source_name": "Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "e1dcc3946fa750da4bc05b1154b6321db163ad62", "title": "Similarity Learning with Spatial Constraints for Person Re-identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://gr.xjtu.edu.cn/c/document_library/get_file?folderId=1540809&name=DLFE-80365.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780511", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.142", "http://doi.org/10.1109/CVPR.2016.142"]}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265393", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.183", "http://doi.org/10.1109/ICCVW.2017.183"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "addresses": [{"name": "USTC, Hefei, China", "source_name": "USTC, Hefei, China", "street_adddress": "1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022", "lat": "31.82199400", "lng": "117.28059000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "5fdb3533152f9862e3e4c2282cd5f1400af18956", "title": "A Variational U-Net for Conditional Appearance and Shape Generation", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04694.pdf"], "doi": []}, {"id": "635efc8bddec1cf94b1ee4951e4d216331758422", "title": "Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00914.pdf"], "doi": []}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "c0e9d06383442d89426808d723ca04586db91747", "title": "Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "title": "Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07791.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"], "doi": []}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "8961677300a9ee30ca51e1a3cf9815b4a162265b", "title": "Deep Representation Learning with Part Loss for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00798.pdf"], "doi": []}, {"id": "123286df95d93600f4281c60a60c69121c6440c7", "title": "Deep Self-Paced Learning for Person Re-Identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.05711.pdf"], "doi": []}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "title": "Discriminative Feature Learning with Foreground Attention for Person Re-Identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01455.pdf"], "doi": []}, {"id": "68621721705e3115355268450b4b447362e455c6", "title": "Disjoint Label Space Transfer Learning with Common Factorised Space", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.02605.pdf"], "doi": []}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "addresses": [{"name": "New York University Abu Dhabi", "source_name": "NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "edu", "country": "United Arab Emirates"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "ca1db9dc493a045e3fadf8d8209eaa4311bbdc70", "title": "Effective Image Retrieval via Multilinear Multi-index Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09304.pdf"], "doi": []}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "fe54a5a10288648f3bd0a71b053cdb896716b552", "title": "Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04419.pdf"], "doi": []}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "addresses": [{"name": "Kyushu Institute of Technology", "source_name": "Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu 804-8550, Japan", "street_adddress": "1-1 \u4ed9\u6c34\u753a \u6238\u7551\u533a \u5317\u4e5d\u5dde\u5e02 \u798f\u5ca1\u770c 804-8550, Japan", "lat": "33.89419680", "lng": "130.83940830", "type": "edu", "country": "Japan"}, {"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "53492cb14b33a26b10c91102daa2d5a2a3ed069d", "title": "Improving Online Multiple Object tracking with Deep Metric Learning", "addresses": [{"name": "CSIRO, Australia", "source_name": "NICTA, PO Box 6020, St Lucia, QLD 4067, Australia", "street_adddress": "Research Way, Clayton VIC 3168, Australia", "lat": "-37.90627370", "lng": "145.13194490", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07592.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "ad3be20fe0106d80c567def71fef01146564df4b", "title": "Learning Deep Disentangled Embeddings With the F-Statistic Loss", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05312.pdf"], "doi": []}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "title": "Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification", "addresses": [{"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}, {"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03153.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"], "doi": []}, {"id": "7c9d8593cdf2f8ba9f27906b2b5827b145631a0b", "title": "MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation", "addresses": [{"name": "Hefei University", "source_name": "Center of Information Development and Management, Hefei University, Hefei 230061, China", "street_adddress": "373 Huangshan Rd, Shushan Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.84050680", "lng": "117.26380570", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08534.pdf"], "doi": []}, {"id": "1565bf91f8fdfe5f5168a5050b1418debc662151", "title": "One-pass Person Re-identification by Sketch Online Discriminant Analysis", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.03368.pdf"], "doi": []}, {"id": "592e555ebe4bd2d821230e7074d7e9626af716b0", "title": "Open Set Adversarial Examples", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02681.pdf"], "doi": []}, {"id": "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "title": "PCGAN: Partition-Controlled Human Image Generation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09928.pdf"], "doi": []}, {"id": "2fad06ed34169a5b1f736112364c58140577a6b4", "title": "Pedestrian Color Naming via Convolutional Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}]} \ No newline at end of file +{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "paper": {"key": "market_1501", "name": "Market 1501", "title": "Scalable Person Re-identification: A Benchmark", "year": "2015", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "vetting": {"yes": 79, "no": 39, "total": 118}}, "citations": [{"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "addresses": [{"name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "source_name": "Max Planck Instutite for Intelligent Systems, T\u00fcebingen", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "source_name": "Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099877", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.394", "http://doi.org/10.1109/CVPR.2017.394"]}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "addresses": [{"name": "Pierre and Marie Curie University", "source_name": "Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "07dead6b98379faac1cf0b2cb34a5db842ab9de9", "title": "Deep-Person: Learning Discriminative Deep Features for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10658.pdf"], "doi": []}, {"id": "e1dcc3946fa750da4bc05b1154b6321db163ad62", "title": "Similarity Learning with Spatial Constraints for Person Re-identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://gr.xjtu.edu.cn/c/document_library/get_file?folderId=1540809&name=DLFE-80365.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780511", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.142", "http://doi.org/10.1109/CVPR.2016.142"]}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265393", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.183", "http://doi.org/10.1109/ICCVW.2017.183"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf", "http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/papers/MengranGou_ICCVW17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265364", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.154", "http://doi.org/10.1109/ICCVW.2017.154"]}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"], "doi": []}, {"id": "193089d56758ab88391d846edd08d359b1f9a863", "title": "A Discriminatively Learned CNN Embedding for Person Reidentification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05666.pdf"], "doi": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "addresses": [{"name": "USTC, Hefei, China", "source_name": "USTC, Hefei, China", "street_adddress": "1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022", "lat": "31.82199400", "lng": "117.28059000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e", "title": "A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08381.pdf"], "doi": []}, {"id": "5fdb3533152f9862e3e4c2282cd5f1400af18956", "title": "A Variational U-Net for Conditional Appearance and Shape Generation", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04694.pdf"], "doi": []}, {"id": "635efc8bddec1cf94b1ee4951e4d216331758422", "title": "Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00914.pdf"], "doi": []}, {"id": "19be4580df2e76b70a39af6e749bf189e1ca3975", "title": "Adversarial Binary Coding for Efficient Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10914.pdf"], "doi": []}, {"id": "47f4dec5f733e933c8b9a8fdcda9419741f2bf62", "title": "Adversarial Metric Attack for Person Re-identification", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10650.pdf"], "doi": []}, {"id": "eee4cc389ca85d23700cba9627fa11e5ee65d740", "title": "Adversarial Open-World Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10482.pdf"], "doi": []}, {"id": "7969cc315bbafcd38a637eb8cd5d45ba897be319", "title": "An enhanced deep feature representation for person re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07807.pdf"], "doi": []}, {"id": "c0e9d06383442d89426808d723ca04586db91747", "title": "Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf"], "doi": []}, {"id": "5e1514de6d20d3b1d148d6925edc89a6c891ce47", "title": "Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099845", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.362", "http://doi.org/10.1109/CVPR.2017.362"]}, {"id": "bff1e1ecf00c37ec91edc7c5c85c1390726c3687", "title": "Constrained Deep Metric Learning for Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07545.pdf"], "doi": []}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}, {"id": "c249f0aa1416c51bf82be5bb47cbeb8aac6dee35", "title": "Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04533.pdf"], "doi": []}, {"id": "4f83ef534c164bd7fbd1e71fe6a3d09a30326b26", "title": "Cross-Resolution Person Re-identification with Deep Antithetical Learning", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10221.pdf"], "doi": []}, {"id": "a6bc69831dea3efc5804b8ab65cf5a06688ddae0", "title": "Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}, {"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01760.pdf"], "doi": []}, {"id": "34b8e675d4651db45e484da34f3c415c60ef3ea2", "title": "DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.01220.pdf"], "doi": []}, {"id": "d1ba33106567c880bf99daba2bd31fe88df4ecba", "title": "Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03160.pdf"], "doi": []}, {"id": "2788f382e4396290acfc8b21df45cc811586e66e", "title": "Deep Attributes Driven Multi-Camera Person Re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03259.pdf"], "doi": []}, {"id": "63e1ce7de0fdbce6e03d25b5001c670c30139aa8", "title": "Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07791.pdf"], "doi": []}, {"id": "e3e36ccd836458d51676789fb133b092d42dac16", "title": "Deep learning prototype domains for person re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.05047.pdf"], "doi": []}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"], "doi": []}, {"id": "9a81f46fcf8c6c0efbe34649552b5056ce419a3d", "title": "Deep person re-identification with improved embedding and efficient training", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03332.pdf"], "doi": []}, {"id": "6562c40932ea734f46e5068555fbf3a185a345de", "title": "Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.00409.pdf"], "doi": []}, {"id": "35b9af6057801fb2f28881840c8427c9cf648757", "title": "Deep Reinforcement Learning Attention Selection For Person Re-Identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02785.pdf"], "doi": []}, {"id": "8961677300a9ee30ca51e1a3cf9815b4a162265b", "title": "Deep Representation Learning with Part Loss for Person Re-Identification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00798.pdf"], "doi": []}, {"id": "123286df95d93600f4281c60a60c69121c6440c7", "title": "Deep Self-Paced Learning for Person Re-Identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.05711.pdf"], "doi": []}, {"id": "d8949f4f4085b15978e20ed7c5c34a080dd637f2", "title": "Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014925", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.191", "http://doi.org/10.1109/CVPRW.2017.191"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.pdf"], "doi": []}, {"id": "50bf4f77d8b66ec838ad59a869630eace7e0e4a7", "title": "Deeply-Learned Part-Aligned Representations for Person Re-identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07256.pdf"], "doi": []}, {"id": "d497543834f23f72f4092252b613bf3adaefc606", "title": "Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07698.pdf"], "doi": []}, {"id": "19a0f34440c25323544b90d9d822a212bfed0eb5", "title": "Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10100.pdf"], "doi": []}, {"id": "7b2e0c87aece7ff1404ef2034d4c5674770301b2", "title": "Discriminative Feature Learning with Foreground Attention for Person Re-Identification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01455.pdf"], "doi": []}, {"id": "68621721705e3115355268450b4b447362e455c6", "title": "Disjoint Label Space Transfer Learning with Common Factorised Space", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.02605.pdf"], "doi": []}, {"id": "d950af49c44bc5d9f4a5cc1634e606004790b1e5", "title": "Divide and Fuse: A Re-ranking Approach for Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04169.pdf"], "doi": []}, {"id": "a94b832facb57ea37b18927b13d2dd4c5fa3a9ea", "title": "Domain transfer convolutional attribute embedding", "addresses": [{"name": "New York University Abu Dhabi", "source_name": "NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE", "street_adddress": "Abu Dhabi - United Arab Emirates", "lat": "24.45388400", "lng": "54.37734380", "type": "edu", "country": "United Arab Emirates"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09733.pdf"], "doi": []}, {"id": "7f8d4494aba2a2b11a88bf7de4b8879b047dd69b", "title": "Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578661", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00563", "http://doi.org/10.1109/CVPR.2018.00563"]}, {"id": "ca1db9dc493a045e3fadf8d8209eaa4311bbdc70", "title": "Effective Image Retrieval via Multilinear Multi-index Fusion", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09304.pdf"], "doi": []}, {"id": "00bf7bcf31ee71f5f325ca5307883157ba3d580f", "title": "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237527", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.265", "http://doi.org/10.1109/ICCV.2017.265"]}, {"id": "febff0f6faa8dde77848845e4b3e6f6c91180d33", "title": "Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00137.pdf"], "doi": []}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9", "title": "Ensemble Feature for Person Re-Identification", "addresses": [{"name": "PLA Army Engineering University", "source_name": "PLA Army Engineering University, China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "mil", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05798.pdf"], "doi": []}, {"id": "fe54a5a10288648f3bd0a71b053cdb896716b552", "title": "Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04419.pdf"], "doi": []}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "91cc3981c304227e13ae151a43fbb124419bc0ce", "title": "Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100049", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.566", "http://doi.org/10.1109/CVPR.2017.566"]}, {"id": "6123e52c1a560c88817d8720e05fbff8565271fb", "title": "Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08378.pdf"], "doi": []}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "3cbb4cf942ee95d14505c0f83a48ba224abdd00b", "title": "Hierarchical Cross Network for Person Re-identification", "addresses": [{"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.06820.pdf"], "doi": []}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "addresses": [{"name": "Kyushu Institute of Technology", "source_name": "Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu 804-8550, Japan", "street_adddress": "1-1 \u4ed9\u6c34\u753a \u6238\u7551\u533a \u5317\u4e5d\u5dde\u5e02 \u798f\u5ca1\u770c 804-8550, Japan", "lat": "33.89419680", "lng": "130.83940830", "type": "edu", "country": "Japan"}, {"name": "Kyushu University", "source_name": "Kyushu University", "street_adddress": "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "lat": "33.59914655", "lng": "130.22359848", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"], "doi": []}, {"id": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.pdf"], "doi": []}, {"id": "53492cb14b33a26b10c91102daa2d5a2a3ed069d", "title": "Improving Online Multiple Object tracking with Deep Metric Learning", "addresses": [{"name": "CSIRO, Australia", "source_name": "NICTA, PO Box 6020, St Lucia, QLD 4067, Australia", "street_adddress": "Research Way, Clayton VIC 3168, Australia", "lat": "-37.90627370", "lng": "145.13194490", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07592.pdf"], "doi": []}, {"id": "a3d11e98794896849ab2304a42bf83e2979e5fb5", "title": "In Defense of the Triplet Loss for Person Re-Identification", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07737.pdf"], "doi": []}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "207e0ac5301a3c79af862951b70632ed650f74f7", "title": "Learning a Discriminative Null Space for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02139.pdf"], "doi": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "ad3be20fe0106d80c567def71fef01146564df4b", "title": "Learning Deep Disentangled Embeddings With the F-Statistic Loss", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05312.pdf"], "doi": []}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "addresses": [{"name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "source_name": "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "street_adddress": "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "lat": "55.68465660", "lng": "37.34075390", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "2102915d0c51cfda4d85133bd593ecb9508fa4bb", "title": "Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification", "addresses": [{"name": "Norwegian University of Science and Technology", "source_name": "Norwegian University of Science and Technology, Trondheim, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}, {"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03153.pdf"], "doi": []}, {"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf"], "doi": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"], "doi": []}, {"id": "7c9d8593cdf2f8ba9f27906b2b5827b145631a0b", "title": "MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation", "addresses": [{"name": "Hefei University", "source_name": "Center of Information Development and Management, Hefei University, Hefei 230061, China", "street_adddress": "373 Huangshan Rd, Shushan Qu, Hefei Shi, Anhui Sheng, China, 230000", "lat": "31.84050680", "lng": "117.26380570", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08534.pdf"], "doi": []}, {"id": "1565bf91f8fdfe5f5168a5050b1418debc662151", "title": "One-pass Person Re-identification by Sketch Online Discriminant Analysis", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.03368.pdf"], "doi": []}, {"id": "592e555ebe4bd2d821230e7074d7e9626af716b0", "title": "Open Set Adversarial Examples", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02681.pdf"], "doi": []}, {"id": "fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367", "title": "PCGAN: Partition-Controlled Human Image Generation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09928.pdf"], "doi": []}, {"id": "2fad06ed34169a5b1f736112364c58140577a6b4", "title": "Pedestrian Color Naming via Convolutional Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf"], "doi": []}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": "744cc8c69255cbe9d992315e456b9efb06f42e20", "title": "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04724.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/mars.json b/site/datasets/verified/mars.json index ce956f37..6ed448f1 100644 --- a/site/datasets/verified/mars.json +++ b/site/datasets/verified/mars.json @@ -1 +1 @@ -{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "paper": {"key": "mars", "name": "MARS", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "paper": {"key": "mars", "name": "MARS", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "year": "2016", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/megaage.json b/site/datasets/verified/megaage.json index fce26a4d..ccf77957 100644 --- a/site/datasets/verified/megaage.json +++ b/site/datasets/verified/megaage.json @@ -1 +1 @@ -{"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "paper": {"key": "megaage", "name": "MegaAge", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "year": "2017", "addresses": []}, "citations": [{"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}]} \ No newline at end of file +{"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "paper": {"key": "megaage", "name": "MegaAge", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "year": "2017", "addresses": [], "vetting": {"yes": 3, "no": 2, "total": 5}}, "citations": [{"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "addresses": [{"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/megaface.json b/site/datasets/verified/megaface.json index 9746edbc..beba46c1 100644 --- a/site/datasets/verified/megaface.json +++ b/site/datasets/verified/megaface.json @@ -1 +1 @@ -{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}]}, "citations": [{"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}]} \ No newline at end of file +{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "vetting": {"yes": 40, "no": 103, "total": 143}}, "citations": [{"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}]} \ No newline at end of file diff --git a/site/datasets/verified/mifs.json b/site/datasets/verified/mifs.json index eeba5785..3f854774 100644 --- a/site/datasets/verified/mifs.json +++ b/site/datasets/verified/mifs.json @@ -1 +1 @@ -{"id": "23e824d1dfc33f3780dd18076284f07bd99f1c43", "paper": {"key": "mifs", "name": "MIFS", "title": "Spoofing faces using makeup: An investigative study", "year": "2017", "addresses": [{"name": "INRIA M\u00e9diterran\u00e9e", "source_name": "Inria Méditerranée, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}]}, "citations": []} \ No newline at end of file +{"id": "23e824d1dfc33f3780dd18076284f07bd99f1c43", "paper": {"key": "mifs", "name": "MIFS", "title": "Spoofing faces using makeup: An investigative study", "year": "2017", "addresses": [{"name": "INRIA M\u00e9diterran\u00e9e", "source_name": "Inria Méditerranée, France", "street_adddress": "2004 Route des Lucioles, 06902 Valbonne, France", "lat": "43.61581310", "lng": "7.06838000", "type": "edu", "country": "France"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/miw.json b/site/datasets/verified/miw.json index 8e3ff801..5bcc8193 100644 --- a/site/datasets/verified/miw.json +++ b/site/datasets/verified/miw.json @@ -1 +1 @@ -{"id": "fcc6fe6007c322641796cb8792718641856a22a7", "paper": {"key": "miw", "name": "MIW", "title": "Automatic facial makeup detection with application in face recognition", "year": "2013", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "fcc6fe6007c322641796cb8792718641856a22a7", "paper": {"key": "miw", "name": "MIW", "title": "Automatic facial makeup detection with application in face recognition", "year": "2013", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/moments_in_time.json b/site/datasets/verified/moments_in_time.json index b73bdd2a..26f1d658 100644 --- a/site/datasets/verified/moments_in_time.json +++ b/site/datasets/verified/moments_in_time.json @@ -1 +1 @@ -{"id": "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "paper": {"key": "moments_in_time", "name": "Moments in Time", "title": "Moments in Time Dataset: one million videos for event understanding", "year": "2017", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}]}, "citations": [{"id": "6987aa3d6896c5837124dbb14af529133984104a", "title": "BAR: Bayesian Activity Recognition using variational inference", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03305.pdf"], "doi": []}, {"id": "ac559873b288f3ac28ee8a38c0f3710ea3f986d9", "title": "Team DEEP-HRI Moments in Time Challenge 2018 Technical Report", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ac55/9873b288f3ac28ee8a38c0f3710ea3f986d9.pdf"], "doi": []}, {"id": "1cca57d2532a4085fb357c10237bdded69541310", "title": "Uncertainty aware multimodal activity recognition with Bayesian inference", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10811.pdf"], "doi": []}, {"id": "b613ea6c4fb5efdf17af090d64e9bdce41e28711", "title": "Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04511.pdf"], "doi": []}, {"id": "b04e96e1fc56c11c43a6fc3e84ba4ca95905e2de", "title": "DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07935.pdf"], "doi": []}, {"id": "7e49a6f11a8843b2ff5bdbf7cf95617c6219f757", "title": "Multi-Modal Fusion for Moment in Time Video Classification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7e49/a6f11a8843b2ff5bdbf7cf95617c6219f757.pdf"], "doi": []}, {"id": "c66eb0e17076bff559d8f94a8f967d52db2bab01", "title": "Video Classification System for Moments in Time Challenge 2018", "addresses": [{"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c66e/b0e17076bff559d8f94a8f967d52db2bab01.pdf"], "doi": []}, {"id": "72f4c415b5f3ecf63380b6985c95c5af2ba72632", "title": "Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00241.pdf"], "doi": []}, {"id": "cc35ca2e992f5b69e8942f2c1f7dd47714c4f272", "title": "AI Enabling Technologies", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/cc35/ca2e992f5b69e8942f2c1f7dd47714c4f272.pdf"], "doi": []}, {"id": "a2f8f9ae3de0ce1a4d8976c0dd1d9ff90af80ee8", "title": "Collaborative Spatio-temporal Feature Learning for Video Action Recognition", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01197.pdf"], "doi": []}, {"id": "86971c8a4e23aadfd20f0f609ce78a873462db63", "title": "Moments in Time : submission to ActivityNet Challenge 2018", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/1c8a4e23aadfd20f0f609ce78a873462db63.pdf"], "doi": []}, {"id": "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "title": "Moments in Time Dataset: one million videos for event understanding", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.03150.pdf"], "doi": []}, {"id": "d4a8c77140ca02504c67007685c3acb1fceedb5d", "title": "SYSU iSEE submission to Moments in Time Challenge 2018", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d4a8/c77140ca02504c67007685c3acb1fceedb5d.pdf"], "doi": []}, {"id": "081db2f175943c51c18d0495782c1c172abd07b6", "title": "Team SSS Submission to the Moments in Time Challenge 2018", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/081d/b2f175943c51c18d0495782c1c172abd07b6.pdf"], "doi": []}, {"id": "c78008647555ebded0a196512d7dd36b78e1c0ab", "title": "The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary", "addresses": [{"name": "King Abdullah University of Science and Technology", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03766.pdf"], "doi": []}, {"id": "2a08147bf88041c6e0354e26762b4e4d65d5163f", "title": "Trimmed Event Recognition ( Moments in Time ) : Submission to ActivityNet Challenge 2018", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2a08/147bf88041c6e0354e26762b4e4d65d5163f.pdf"], "doi": []}]} \ No newline at end of file +{"id": "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "paper": {"key": "moments_in_time", "name": "Moments in Time", "title": "Moments in Time Dataset: one million videos for event understanding", "year": "2017", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "vetting": {"yes": 17, "no": 52, "total": 69}}, "citations": [{"id": "6987aa3d6896c5837124dbb14af529133984104a", "title": "BAR: Bayesian Activity Recognition using variational inference", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03305.pdf"], "doi": []}, {"id": "ac559873b288f3ac28ee8a38c0f3710ea3f986d9", "title": "Team DEEP-HRI Moments in Time Challenge 2018 Technical Report", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ac55/9873b288f3ac28ee8a38c0f3710ea3f986d9.pdf"], "doi": []}, {"id": "1cca57d2532a4085fb357c10237bdded69541310", "title": "Uncertainty aware multimodal activity recognition with Bayesian inference", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10811.pdf"], "doi": []}, {"id": "b613ea6c4fb5efdf17af090d64e9bdce41e28711", "title": "Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04511.pdf"], "doi": []}, {"id": "b04e96e1fc56c11c43a6fc3e84ba4ca95905e2de", "title": "DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07935.pdf"], "doi": []}, {"id": "7e49a6f11a8843b2ff5bdbf7cf95617c6219f757", "title": "Multi-Modal Fusion for Moment in Time Video Classification", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7e49/a6f11a8843b2ff5bdbf7cf95617c6219f757.pdf"], "doi": []}, {"id": "c66eb0e17076bff559d8f94a8f967d52db2bab01", "title": "Video Classification System for Moments in Time Challenge 2018", "addresses": [{"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c66e/b0e17076bff559d8f94a8f967d52db2bab01.pdf"], "doi": []}, {"id": "72f4c415b5f3ecf63380b6985c95c5af2ba72632", "title": "Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00241.pdf"], "doi": []}, {"id": "cc35ca2e992f5b69e8942f2c1f7dd47714c4f272", "title": "AI Enabling Technologies", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/cc35/ca2e992f5b69e8942f2c1f7dd47714c4f272.pdf"], "doi": []}, {"id": "a2f8f9ae3de0ce1a4d8976c0dd1d9ff90af80ee8", "title": "Collaborative Spatio-temporal Feature Learning for Video Action Recognition", "addresses": [{"name": "Hikvision Digital Technology Co., Ltd.", "source_name": "Hangzhou Hikvision Digital Technology Co., Ltd.", "street_adddress": "555 Qianmo Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China, 310051", "lat": "30.20948400", "lng": "120.22091200", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01197.pdf"], "doi": []}, {"id": "86971c8a4e23aadfd20f0f609ce78a873462db63", "title": "Moments in Time : submission to ActivityNet Challenge 2018", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/1c8a4e23aadfd20f0f609ce78a873462db63.pdf"], "doi": []}, {"id": "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "title": "Moments in Time Dataset: one million videos for event understanding", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.03150.pdf"], "doi": []}, {"id": "d4a8c77140ca02504c67007685c3acb1fceedb5d", "title": "SYSU iSEE submission to Moments in Time Challenge 2018", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d4a8/c77140ca02504c67007685c3acb1fceedb5d.pdf"], "doi": []}, {"id": "081db2f175943c51c18d0495782c1c172abd07b6", "title": "Team SSS Submission to the Moments in Time Challenge 2018", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/081d/b2f175943c51c18d0495782c1c172abd07b6.pdf"], "doi": []}, {"id": "c78008647555ebded0a196512d7dd36b78e1c0ab", "title": "The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary", "addresses": [{"name": "King Abdullah University of Science and Technology", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03766.pdf"], "doi": []}, {"id": "2a08147bf88041c6e0354e26762b4e4d65d5163f", "title": "Trimmed Event Recognition ( Moments in Time ) : Submission to ActivityNet Challenge 2018", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2a08/147bf88041c6e0354e26762b4e4d65d5163f.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/morph.json b/site/datasets/verified/morph.json index 1969f4ef..f29283b4 100644 --- a/site/datasets/verified/morph.json +++ b/site/datasets/verified/morph.json @@ -1 +1 @@ -{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "paper": {"key": "morph", "name": "MORPH Commercial", "title": "MORPH: a longitudinal image database of normal adult age-progression", "year": "2006", "addresses": [{"name": "North Carolina University", "source_name": "North Carolina Univ., Wilmington, NC, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "paper": {"key": "morph", "name": "MORPH Commercial", "title": "MORPH: a longitudinal image database of normal adult age-progression", "year": "2006", "addresses": [{"name": "North Carolina University", "source_name": "North Carolina Univ., Wilmington, NC, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/morph_nc.json b/site/datasets/verified/morph_nc.json index 6c53d983..211342d3 100644 --- a/site/datasets/verified/morph_nc.json +++ b/site/datasets/verified/morph_nc.json @@ -1 +1 @@ -{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "paper": {"key": "morph_nc", "name": "MORPH Non-Commercial", "title": "MORPH: a longitudinal image database of normal adult age-progression", "year": "2006", "addresses": [{"name": "North Carolina University", "source_name": "North Carolina Univ., Wilmington, NC, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "paper": {"key": "morph_nc", "name": "MORPH Non-Commercial", "title": "MORPH: a longitudinal image database of normal adult age-progression", "year": "2006", "addresses": [{"name": "North Carolina University", "source_name": "North Carolina Univ., Wilmington, NC, USA", "street_adddress": "601 S College Rd, Wilmington, NC 28403, USA", "lat": "34.22398690", "lng": "-77.87013250", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/mot.json b/site/datasets/verified/mot.json index c330f41d..70a93126 100644 --- a/site/datasets/verified/mot.json +++ b/site/datasets/verified/mot.json @@ -1 +1 @@ -{"id": "2258e01865367018ed6f4262c880df85b94959f8", "paper": {"key": "mot", "name": "MOT", "title": "Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics", "year": "2008", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "2258e01865367018ed6f4262c880df85b94959f8", "paper": {"key": "mot", "name": "MOT", "title": "Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics", "year": "2008", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/msceleb.json b/site/datasets/verified/msceleb.json index 0a2ac045..f0d7ec63 100644 --- a/site/datasets/verified/msceleb.json +++ b/site/datasets/verified/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "paper": {"key": "msceleb", "name": "MsCeleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"], "doi": []}, {"id": "153fbae25efd061f9046970071d0cfe739a35a0e", "title": "FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545274"]}, {"id": "98518fc368d7e1478cef40f5f8fd4468763645ad", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"name": "University of South China", "source_name": "University of South China, Hunan, China", "street_adddress": "China, Hunan Sheng, Hengyang Shi, Zhengxiang Qu, \u5e38\u80dc\u897f\u8def28\u53f7", "lat": "26.89887000", "lng": "112.59043500", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/cin/2018/4512473.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29849547", "https://doi.org/10.1155/2018%2F4512473", "https://www.wikidata.org/entity/Q55220544"]}, {"id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "title": "Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12026.pdf"], "doi": []}, {"id": "e47f4a127f41c055fb7893ddc295932ead783c63", "title": "Adversarial Discriminative Heterogeneous Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03675.pdf"], "doi": []}, {"id": "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "title": "To appear in ICB 2018 Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf"], "doi": []}, {"id": "26567da544239cc6628c5696b0b10539144cbd57", "title": "The GAN that Warped: Semantic Attribute Editing with Unpaired Data", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12784.pdf"], "doi": []}, {"id": "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "title": "L2-constrained Softmax Loss for Discriminative Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09507.pdf"], "doi": []}, {"id": "3011b5fce49112228711a9e5f92d6f191687c1ea", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"], "doi": []}, {"id": "1929863fff917ee7f6dc428fc1ce732777668eca", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"], "doi": []}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"], "doi": []}, {"id": "19fa871626df604639550c6445d2f76cd369dd13", "title": "DocFace: Matching ID Document Photos to Selfies", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02283.pdf"], "doi": []}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"], "doi": []}, {"id": "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "title": "Faces as Lighting Probes via Unsupervised Deep Highlight Extraction", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06340.pdf"], "doi": []}, {"id": "7fa4e972da46735971aad52413d17c4014c49e6e", "title": "How to Train Triplet Networks with 100K Identities?", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02940.pdf"], "doi": []}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "title": "Face-Voice Matching using Cross-modal Embeddings", "addresses": [{"name": "Hitachi, Ltd., Tokyo, Japan", "source_name": "Hitachi, Ltd., Tokyo, Japan", "street_adddress": "Japan, \u3012101-0021 Tokyo, Chiyoda, Sotokanda, 1 Chome\u221218\u2212\uff11\uff13 \u79cb\u8449\u539f\u30c0\u30a4\u30d3\u30eb", "lat": "35.69925030", "lng": "139.77215680", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240601"]}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1109/ICIP.2018.8451704"]}, {"id": "6f5309d8cc76d3d300b72745887addd2a2480ba8", "title": "KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3134425"]}, {"id": "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "title": "Feature Learning for One-Shot Face Recognition", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451464"]}, {"id": "c71217b2b111a51a31cf1107c71d250348d1ff68", "title": "One Network to Solve Them All \u2014 Solving Linear Inverse Problems Using Deep Projection Models", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09912.pdf"], "doi": []}, {"id": "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "title": "FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01288.pdf"], "doi": []}, {"id": "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "title": "Coupled Deep Learning for Heterogeneous Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02450.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "title": "GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf"], "doi": []}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "dec0c26855da90876c405e9fd42830c3051c2f5f", "title": "Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf"], "doi": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"name": "Universit\u00e9 Paris-Saclay, France", "source_name": "Samovar CNRS UMR 5157, T\u00e9l\u00e9com SudParis, Universit\u00e9 Paris-Saclay, Evry, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450", "http://doi.org/10.1109/ATSIP.2018.8364450"]}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"], "doi": []}, {"id": "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "title": "Identity Preserving Face Completion for Large Ocular Region Occlusion", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08772.pdf"], "doi": []}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984060"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "title": "Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03990.pdf"], "doi": []}, {"id": "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "title": "Talking Face Generation by Adversarially Disentangled Audio-Visual Representation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07860.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "addresses": [{"name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "source_name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "addresses": [{"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "addresses": [{"name": "Shenzhen Institute of Wuhan University", "source_name": "Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China", "street_adddress": "6 Yuexing 3rd Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.52831570", "lng": "113.94481000", "type": "edu", "country": "China"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "addresses": [{"name": "La Rochelle University", "source_name": "L3i Laboratory, La Rochelle University, Rochelle, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "addresses": [{"name": "Ecole Centrale de Lyon", "source_name": "Ecole Centrale de Lyon, Lyon, 69134, France", "street_adddress": "EC de Lyon, 36, Avenue Guy de Collongue, \u00c9cully, Lyon, M\u00e9tropole de Lyon, Circonscription d\u00e9partementale du Rh\u00f4ne, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 69134, France", "lat": "45.78336310", "lng": "4.76877036", "type": "edu", "country": "France"}, {"name": "Safran Identity and Security", "source_name": "Safran Identity & Security", "street_adddress": "11 Boulevard Gallieni, 92130 Issy-les-Moulineaux, France", "lat": "48.83249300", "lng": "2.26747400", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "addresses": [{"name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "source_name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "CASIA, National Laboratory of Pattern Recognition", "source_name": "CASIA, National Laboratory of Pattern Recognition", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"], "doi": []}, {"id": "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "title": "Pairwise Relational Networks for Face Recognition", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"], "doi": []}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248342", "http://doi.org/10.1109/ICSAI.2017.8248342"]}]} \ No newline at end of file +{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "paper": {"key": "msceleb", "name": "MsCeleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "vetting": {"yes": 64, "no": 56, "total": 120}}, "citations": [{"id": "2011d4da646f794456bebb617d1500ddf71989ed", "title": "Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf"], "doi": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"], "doi": []}, {"id": "153fbae25efd061f9046970071d0cfe739a35a0e", "title": "FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545274"]}, {"id": "98518fc368d7e1478cef40f5f8fd4468763645ad", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"name": "University of South China", "source_name": "University of South China, Hunan, China", "street_adddress": "China, Hunan Sheng, Hengyang Shi, Zhengxiang Qu, \u5e38\u80dc\u897f\u8def28\u53f7", "lat": "26.89887000", "lng": "112.59043500", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["http://downloads.hindawi.com/journals/cin/2018/4512473.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29849547", "https://doi.org/10.1155/2018%2F4512473", "https://www.wikidata.org/entity/Q55220544"]}, {"id": "6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c", "title": "Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12026.pdf"], "doi": []}, {"id": "e47f4a127f41c055fb7893ddc295932ead783c63", "title": "Adversarial Discriminative Heterogeneous Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03675.pdf"], "doi": []}, {"id": "b446bcd7fb78adfe346cf7a01a38e4f43760f363", "title": "To appear in ICB 2018 Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf"], "doi": []}, {"id": "26567da544239cc6628c5696b0b10539144cbd57", "title": "The GAN that Warped: Semantic Attribute Editing with Unpaired Data", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12784.pdf"], "doi": []}, {"id": "872dfdeccf99bbbed7c8f1ea08afb2d713ebe085", "title": "L2-constrained Softmax Loss for Discriminative Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09507.pdf"], "doi": []}, {"id": "3011b5fce49112228711a9e5f92d6f191687c1ea", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"], "doi": []}, {"id": "1929863fff917ee7f6dc428fc1ce732777668eca", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"], "doi": []}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"], "doi": []}, {"id": "19fa871626df604639550c6445d2f76cd369dd13", "title": "DocFace: Matching ID Document Photos to Selfies", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02283.pdf"], "doi": []}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"], "doi": []}, {"id": "b301fd2fc33f24d6f75224e7c0991f4f04b64a65", "title": "Faces as Lighting Probes via Unsupervised Deep Highlight Extraction", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06340.pdf"], "doi": []}, {"id": "7fa4e972da46735971aad52413d17c4014c49e6e", "title": "How to Train Triplet Networks with 100K Identities?", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02940.pdf"], "doi": []}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"], "doi": []}, {"id": "3b4da93fbdf7ae520fa00d39ffa694e850b85162", "title": "Face-Voice Matching using Cross-modal Embeddings", "addresses": [{"name": "Hitachi, Ltd., Tokyo, Japan", "source_name": "Hitachi, Ltd., Tokyo, Japan", "street_adddress": "Japan, \u3012101-0021 Tokyo, Chiyoda, Sotokanda, 1 Chome\u221218\u2212\uff11\uff13 \u79cb\u8449\u539f\u30c0\u30a4\u30d3\u30eb", "lat": "35.69925030", "lng": "139.77215680", "type": "company", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240601"]}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1109/ICIP.2018.8451704"]}, {"id": "6f5309d8cc76d3d300b72745887addd2a2480ba8", "title": "KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3134425"]}, {"id": "09ad80c4e80e1e02afb8fa4cb6dab260fb66df53", "title": "Feature Learning for One-Shot Face Recognition", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451464"]}, {"id": "c71217b2b111a51a31cf1107c71d250348d1ff68", "title": "One Network to Solve Them All \u2014 Solving Linear Inverse Problems Using Deep Projection Models", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09912.pdf"], "doi": []}, {"id": "de7d36173f9ca0e89e7a1991d541aed7c65127ea", "title": "FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01288.pdf"], "doi": []}, {"id": "212608e00fc1e8912ff845ee7a4a67f88ba938fc", "title": "Coupled Deep Learning for Heterogeneous Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02450.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "f74917fc0e55f4f5682909dcf6929abd19d33e2e", "title": "GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf"], "doi": []}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"], "doi": []}, {"id": "dec0c26855da90876c405e9fd42830c3051c2f5f", "title": "Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf"], "doi": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"name": "Universit\u00e9 Paris-Saclay, France", "source_name": "Samovar CNRS UMR 5157, T\u00e9l\u00e9com SudParis, Universit\u00e9 Paris-Saclay, Evry, France", "street_adddress": "3 Rue Michel Ange, 75016 Paris, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450", "http://doi.org/10.1109/ATSIP.2018.8364450"]}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"], "doi": []}, {"id": "455a7e03a0c5ab618d0e86a06c9910ac179f0479", "title": "Identity Preserving Face Completion for Large Ocular Region Occlusion", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08772.pdf"], "doi": []}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984060"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"], "doi": []}, {"id": "ad2cb5c255e555d9767d526721a4c7053fa2ac58", "title": "Longitudinal Study of Child Face Recognition", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.03990.pdf"], "doi": []}, {"id": "9e182e0cd9d70f876f1be7652c69373bcdf37fb4", "title": "Talking Face Generation by Adversarially Disentangled Audio-Visual Representation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07860.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "addresses": [{"name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "source_name": "CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy", "street_adddress": "Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy", "lat": "43.71925870", "lng": "10.42079470", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "addresses": [{"name": "Leibniz Information Centre for Science and Technology, Hannover, Germany", "source_name": "Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore", "source_name": "Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore", "street_adddress": "Singapore", "lat": "1.33926090", "lng": "103.89160770", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "addresses": [{"name": "Shenzhen Institute of Wuhan University", "source_name": "Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China", "street_adddress": "6 Yuexing 3rd Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.52831570", "lng": "113.94481000", "type": "edu", "country": "China"}, {"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "addresses": [{"name": "La Rochelle University", "source_name": "L3i Laboratory, La Rochelle University, Rochelle, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "addresses": [{"name": "Ecole Centrale de Lyon", "source_name": "Ecole Centrale de Lyon, Lyon, 69134, France", "street_adddress": "EC de Lyon, 36, Avenue Guy de Collongue, \u00c9cully, Lyon, M\u00e9tropole de Lyon, Circonscription d\u00e9partementale du Rh\u00f4ne, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 69134, France", "lat": "45.78336310", "lng": "4.76877036", "type": "edu", "country": "France"}, {"name": "Safran Identity and Security", "source_name": "Safran Identity & Security", "street_adddress": "11 Boulevard Gallieni, 92130 Issy-les-Moulineaux, France", "lat": "48.83249300", "lng": "2.26747400", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "addresses": [{"name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "source_name": "CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China", "street_adddress": "Haidian, China, 100080", "lat": "39.98019600", "lng": "116.33330500", "type": "edu", "country": "China"}, {"name": "CASIA, National Laboratory of Pattern Recognition", "source_name": "CASIA, National Laboratory of Pattern Recognition", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"], "doi": []}, {"id": "e6b45d5a86092bbfdcd6c3c54cda3d6c3ac6b227", "title": "Pairwise Relational Networks for Face Recognition", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"], "doi": []}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248342", "http://doi.org/10.1109/ICSAI.2017.8248342"]}]} \ No newline at end of file diff --git a/site/datasets/verified/mug_faces.json b/site/datasets/verified/mug_faces.json index b71ede56..e2d92afb 100644 --- a/site/datasets/verified/mug_faces.json +++ b/site/datasets/verified/mug_faces.json @@ -1 +1 @@ -{"id": "f1af714b92372c8e606485a3982eab2f16772ad8", "paper": {"key": "mug_faces", "name": "MUG Faces", "title": "The MUG facial expression database", "year": "2010", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}]}, "citations": []} \ No newline at end of file +{"id": "f1af714b92372c8e606485a3982eab2f16772ad8", "paper": {"key": "mug_faces", "name": "MUG Faces", "title": "The MUG facial expression database", "year": "2010", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/names_and_faces.json b/site/datasets/verified/names_and_faces.json index 23dad6be..c90d1027 100644 --- a/site/datasets/verified/names_and_faces.json +++ b/site/datasets/verified/names_and_faces.json @@ -1 +1 @@ -{"id": "2fda164863a06a92d3a910b96eef927269aeb730", "paper": {"key": "names_and_faces", "name": "News Dataset", "title": "Names and faces in the news", "year": "2004", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "2fda164863a06a92d3a910b96eef927269aeb730", "paper": {"key": "names_and_faces", "name": "News Dataset", "title": "Names and faces in the news", "year": "2004", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/orl.json b/site/datasets/verified/orl.json index 7341a248..07bf336f 100644 --- a/site/datasets/verified/orl.json +++ b/site/datasets/verified/orl.json @@ -1 +1 @@ -{"id": "55206f0b5f57ce17358999145506cd01e570358c", "paper": {"key": "orl", "name": "ORL", "title": "Parameterisation of a stochastic model for human face identification", "year": "1994", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "55206f0b5f57ce17358999145506cd01e570358c", "paper": {"key": "orl", "name": "ORL", "title": "Parameterisation of a stochastic model for human face identification", "year": "1994", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/oxford_town_centre.json b/site/datasets/verified/oxford_town_centre.json index 46976276..89f9740e 100644 --- a/site/datasets/verified/oxford_town_centre.json +++ b/site/datasets/verified/oxford_town_centre.json @@ -1 +1 @@ -{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "paper": {"key": "oxford_town_centre", "name": "TownCentre", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}]}, "citations": [{"id": "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "title": "Learning scene-specific pedestrian detectors without real data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sony", "source_name": "Sony Electronics Inc., San Jose, CA, USA", "street_adddress": "1730 N 1st St, San Jose, CA 95112, USA", "lat": "37.36759050", "lng": "-121.91334910", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015-sup.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015.pdf", "http://www.cs.cmu.edu/~kkitani/pdf/HBKK-CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299006", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299006", "http://doi.org/10.1109/CVPR.2015.7299006"]}, {"id": "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "title": "Online Multi-person Tracking by Tracker Hierarchy", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "http://www.cs.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328007", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.51", "http://doi.org/10.1109/AVSS.2012.51"]}, {"id": "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "title": "Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037515.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.216", "http://doi.org/10.1109/CVPR.2013.216"]}, {"id": "2b9410889dc6870cc6e0476dbc681049b28ccacb", "title": "Learning to Detect Carried Objects with Minimal Supervision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf", "http://www.cs.umd.edu/~rdondera/cod.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Dondera_Learning_to_Detect_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~morariu/publications/DonderaCarriedObjectSISM13.pdf", "https://drum.lib.umd.edu/bitstream/handle/1903/13339/CS-TR-5018.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595958", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.114", "http://doi.org/10.1109/CVPRW.2013.114"]}, {"id": "5369b021f2abf5daa77fa5602569bb3b8bb18546", "title": "GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_GMMCP_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299036", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299036", "http://doi.org/10.1109/CVPR.2015.7299036"]}, {"id": "076fd6fd85b93858155a1c775f1897f83d52b4c2", "title": "Improving an Object Detector and Extracting Regions Using Superpixels", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d721.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619321", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.477", "http://doi.org/10.1109/CVPR.2013.477"]}, {"id": "b02581323ad03125e9b18d74ba0c1909d6485dda", "title": "Contextual anomaly detection in crowded surveillance scenes", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441/Context_Aware_Anomaly_Detection_3rdRevision.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2013.11.018", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441"]}, {"id": "184c3e66a746376716d5e816d95e1a7cb8e04390", "title": "Unsupervised learning of a scene-specific coarse gaze estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "https://media.adelaide.edu.au/acvt/Publications/2011/2011-Unsupervised%20Learning%20of%20a%20Scene-Specific%20Coarse%20Gaze%20Estimator.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126516", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126516", "http://doi.org/10.1109/ICCV.2011.6126516"]}, {"id": "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "title": "A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter", "addresses": [{"name": "Ben-Gurion University", "source_name": "Ben-Gurion University, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Orbotech Ltd., Yavne, Israel", "source_name": "Orbotech Ltd., Yavne, Israel", "street_adddress": "HaSanhedrin Blvd 1, Yavne, Israel", "lat": "31.88787670", "lng": "34.73598850", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf", "https://www.cs.bgu.ac.il/~ben-shahar/Publications/2016-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker.pdf", "https://www.cs.bgu.ac.il/~rba/R_Ben-Ari_JRTIP2013.pdf"], "doi": ["http://doi.org/10.1007/s11554-013-0329-2"]}, {"id": "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "title": "Exploiting pedestrian interaction via global optimization and social behaviors", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf", "http://www.tnt.uni-hannover.de/papers/data/924/LeaPonRos11SocialLP.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/134/LeaPonRos11SocialLP.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-34091-8_1"]}, {"id": "b28eb219db9370cf20063288225cc2f3e6e5f984", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410584", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.227", "http://doi.org/10.1109/ICCV.2015.227"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "920246280e7e70900762ddfa7c41a79ec4517350", "title": "(MP) 2 T: multiple people multiple parts tracker", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf", "http://homes.cs.washington.edu/~izadinia/files/MPMPT-ECCV12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_8"]}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "9070045c1a9564a5f25b42f3facc7edf4c302483", "title": "Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf", "http://vision.eecs.ucf.edu/ICCVWorkshop/papers/MSVLC2011_Paper2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130233", "http://doi.org/10.1109/ICCVW.2011.6130233"]}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "084352b63e98d3b3310521fb3bda8cb4a77a0254", "title": "Part-based multiple-person tracking with partial occlusion handling", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Nevada", "source_name": "University of Nevada", "street_adddress": "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "lat": "39.54694490", "lng": "-119.81346566", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/papers/1439.pdf", "http://vision.eecs.ucf.edu/papers/cvpr2012/1439.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247879", "http://doi.org/10.1109/CVPR.2012.6247879"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "title": "User interest profiling using tracking-free coarse gaze estimation", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze, Firenze", "source_name": "Università degli Studi di Firenze, Firenze", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf", "https://www.micc.unifi.it/wp-content/uploads/2016/12/ICPR_2016_GAZE.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899904", "http://doi.org/10.1109/ICPR.2016.7899904"]}, {"id": "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "title": "A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf"], "doi": []}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "title": "Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf"], "doi": []}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "b8af24279c58a718091817236f878c805a7843e1", "title": "Context Aware Anomalous Behaviour Detection in Crowded Surveillance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf"], "doi": []}, {"id": "224547337e1ace6411a69c2e06ce538bc67923f7", "title": "Convolutional Neural Network for Camera Pose Estimation from Object Detections", "addresses": [{"name": "Faculty of Computer Science, Moscow, Russia", "source_name": "Faculty of Computer Science, Moscow, Russia", "street_adddress": "Kochnovskiy Proyezd, 3, Moskva, Russia, 125319", "lat": "55.80671040", "lng": "37.54163810", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf"], "doi": []}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "70be5432677c0fbe000ac0c28dda351a950e0536", "title": "Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910023", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.75", "http://doi.org/10.1109/CVPRW.2014.75"]}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "2a7935706d43c01789d43a81a1d391418f220a0a", "title": "Enhancing Linear Programming with Motion Modeling for Multi-target Tracking", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/31960902/285.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045871", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.17", "http://doi.org/10.1109/WACV.2015.17"]}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "fa5aca45965e312362d2d75a69312a0678fdf5d7", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf"], "doi": []}, {"id": "2feb7c57d51df998aafa6f3017662263a91625b4", "title": "Feature Selection for Intelligent Transportation Systems", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf"], "doi": []}, {"id": "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "title": "Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf"], "doi": []}, {"id": "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "title": "Forecasting Interactive Dynamics of Pedestrians with Fictitious Play", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01431.pdf"], "doi": []}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "title": "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02000.pdf"], "doi": []}, {"id": "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "title": "Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.05234.pdf"], "doi": []}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "title": "\"Seeing is Believing\": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354238", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00134", "http://doi.org/10.1109/WACV.2018.00134"]}, {"id": "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "title": "GPU Accelerated ACF Detector", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf"], "doi": []}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "title": "Improvement in object detection using Super Pixels", "addresses": [{"name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "source_name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "street_adddress": "MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India", "lat": "13.03046190", "lng": "77.56468620", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf"], "doi": []}, {"id": "4e82908e6482d973c280deb79c254631a60f1631", "title": "Improving Efficiency and Scalability in Visual Surveillance Applications", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf"], "doi": []}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "title": "Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03968.pdf"], "doi": []}, {"id": "1883387726897d94b663cc4de4df88e5c31df285", "title": "Measures of Effective Video Tracking", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655935", "http://doi.org/10.1109/TIP.2013.2288578", "https://www.ncbi.nlm.nih.gov/pubmed/24235302", "https://www.wikidata.org/entity/Q48704231"]}, {"id": "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "title": "MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.09100.pdf"], "doi": []}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "290eda31bc13cbd5933acec8b6a25b3e3761c788", "title": "Multiple object tracking with context awareness", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7935.pdf"], "doi": []}, {"id": "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "title": "Multiple-Person Tracking by Detection", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf"], "doi": []}, {"id": "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses", "addresses": [{"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00652.pdf"], "doi": []}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "addresses": [{"name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "source_name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "422d352a7d26fef692a3cd24466bfb5b4526efea", "title": "Pedestrian interaction in tracking : the social force model and global optimization methods", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf"], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "addresses": [{"name": "Universit\u00e0 degli Studi di Cagliari, Italy", "source_name": "Universit\u00e0 degli Studi di Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "057517452369751bd63d83902ea91558d58161da", "title": "Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382753", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.31", "http://doi.org/10.1109/SIBGRAPI.2012.31"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "7c132e0a2b7e13c78784287af38ad74378da31e5", "title": "Salient Parts based Multi-people Tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf"], "doi": []}, {"id": "679136c2844eeddca34e98e483aca1ff6ef5e902", "title": "Scene-Specific Pedestrian Detection Based on Parallel Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08745.pdf"], "doi": []}, {"id": "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "title": "Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07544.pdf"], "doi": []}, {"id": "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "title": "Solving Multiple People Tracking in a Minimum Cost Arborescence", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046817", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.7", "http://doi.org/10.1109/WACVW.2015.7"]}, {"id": "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "title": "Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "source_name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "street_adddress": "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "lat": "57.71720040", "lng": "11.92185580", "type": "company", "country": "Sweden"}], "year": "2018", "pdf": ["http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1077-3"]}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "addresses": [{"name": "NICTA, Canberra", "source_name": "NICTA, Canberra", "street_adddress": "Canberra ACT 2601, Australia", "lat": "-35.28093680", "lng": "149.13000920", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "title": "Training a convolutional neural network for multi-class object detection using solely virtual world data", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738056", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056", "http://doi.org/10.1109/AVSS.2016.7738056"]}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}]} \ No newline at end of file +{"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "paper": {"key": "oxford_town_centre", "name": "TownCentre", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "vetting": {"yes": 85, "no": 130, "total": 215}}, "citations": [{"id": "03ae36b2ed0215b15c5bc7d42fbe20b1491e551a", "title": "Learning scene-specific pedestrian detectors without real data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Sony", "source_name": "Sony Electronics Inc., San Jose, CA, USA", "street_adddress": "1730 N 1st St, San Jose, CA 95112, USA", "lat": "37.36759050", "lng": "-121.91334910", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015-sup.pdf", "http://vishnu.boddeti.net/papers/cvpr-2015.pdf", "http://www.cs.cmu.edu/~kkitani/pdf/HBKK-CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_052_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299006", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299006", "http://doi.org/10.1109/CVPR.2015.7299006"]}, {"id": "9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e", "title": "Online Multi-person Tracking by Tracker Hierarchy", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "http://www.cs.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf", "https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328007", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.51", "http://doi.org/10.1109/AVSS.2012.51"]}, {"id": "80b41fb824f3751b03017bf7ec8c5f71b7e214b2", "title": "Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b650.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037515.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.216", "http://doi.org/10.1109/CVPR.2013.216"]}, {"id": "2b9410889dc6870cc6e0476dbc681049b28ccacb", "title": "Learning to Detect Carried Objects with Minimal Supervision", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf", "http://www.cs.umd.edu/~rdondera/cod.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W22/papers/Dondera_Learning_to_Detect_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~morariu/publications/DonderaCarriedObjectSISM13.pdf", "https://drum.lib.umd.edu/bitstream/handle/1903/13339/CS-TR-5018.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595958", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.114", "http://doi.org/10.1109/CVPRW.2013.114"]}, {"id": "5369b021f2abf5daa77fa5602569bb3b8bb18546", "title": "GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf", "http://crcv.ucf.edu/people/phd_students/afshin//papers/Afshin_Dehghan_GMMCP_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_082_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299036", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299036", "http://doi.org/10.1109/CVPR.2015.7299036"]}, {"id": "076fd6fd85b93858155a1c775f1897f83d52b4c2", "title": "Improving an Object Detector and Extracting Regions Using Superpixels", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://crcv.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d721.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shu_Improving_an_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619321", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.477", "http://doi.org/10.1109/CVPR.2013.477"]}, {"id": "b02581323ad03125e9b18d74ba0c1909d6485dda", "title": "Contextual anomaly detection in crowded surveillance scenes", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441/Context_Aware_Anomaly_Detection_3rdRevision.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2013.11.018", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/5406441"]}, {"id": "184c3e66a746376716d5e816d95e1a7cb8e04390", "title": "Unsupervised learning of a scene-specific coarse gaze estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Papers/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "http://www.robots.ox.ac.uk/ActiveVision/Publications/benfold_reid_iccv2011/benfold_reid_iccv2011.pdf", "https://media.adelaide.edu.au/acvt/Publications/2011/2011-Unsupervised%20Learning%20of%20a%20Scene-Specific%20Coarse%20Gaze%20Estimator.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126516", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126516", "http://doi.org/10.1109/ICCV.2011.6126516"]}, {"id": "880e232f260b0f9d649a4e6408b1cf82f270bd6d", "title": "A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter", "addresses": [{"name": "Ben-Gurion University", "source_name": "Ben-Gurion University, Beersheba, Israel", "street_adddress": "\u05e9\u05d3' \u05d1\u05df-\u05d2\u05d5\u05e8\u05d9\u05d5\u05df 1, \u05d1\u05d0\u05e8 \u05e9\u05d1\u05e2, Israel", "lat": "31.26221800", "lng": "34.80146100", "type": "edu", "country": "Israel"}, {"name": "Orbotech Ltd., Yavne, Israel", "source_name": "Orbotech Ltd., Yavne, Israel", "street_adddress": "HaSanhedrin Blvd 1, Yavne, Israel", "lat": "31.88787670", "lng": "34.73598850", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf", "https://www.cs.bgu.ac.il/~ben-shahar/Publications/2016-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker.pdf", "https://www.cs.bgu.ac.il/~rba/R_Ben-Ari_JRTIP2013.pdf"], "doi": ["http://doi.org/10.1007/s11554-013-0329-2"]}, {"id": "3e0db33884ca8c756b26dc0df85c498c18d5f2ec", "title": "Exploiting pedestrian interaction via global optimization and social behaviors", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf", "http://www.tnt.uni-hannover.de/papers/data/924/LeaPonRos11SocialLP.pdf", "https://is.tuebingen.mpg.de/uploads_file/attachment/attachment/134/LeaPonRos11SocialLP.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-34091-8_1"]}, {"id": "b28eb219db9370cf20063288225cc2f3e6e5f984", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lee_Fast_and_Accurate_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410584", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.227", "http://doi.org/10.1109/ICCV.2015.227"]}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909566", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.170", "http://doi.org/10.1109/CVPR.2014.170"]}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.07.003"]}, {"id": "920246280e7e70900762ddfa7c41a79ec4517350", "title": "(MP) 2 T: multiple people multiple parts tracker", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf", "http://homes.cs.washington.edu/~izadinia/files/MPMPT-ECCV12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33783-3_8"]}, {"id": "14d5bd23667db4413a7f362565be21d462d3fc93", "title": "An Online Learned Elementary Grouping Model for Multi-target Tracking", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf", "http://www.cs.ucr.edu/~xchen010/papers/CVPR2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909558", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.162", "http://doi.org/10.1109/CVPR.2014.162"]}, {"id": "9070045c1a9564a5f25b42f3facc7edf4c302483", "title": "Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf", "http://vision.eecs.ucf.edu/ICCVWorkshop/papers/MSVLC2011_Paper2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130233", "http://doi.org/10.1109/ICCVW.2011.6130233"]}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.55", "http://doi.org/10.1109/CVPRW.2016.55"]}, {"id": "434627a03d4433b0df03058724524c3ac1c07478", "title": "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://jianghz.com/pubs/mtt_tip_final.pdf", "http://people.cs.umass.edu/~hzjiang/pubs/mtt_tip_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124485", "http://doi.org/10.1109/TIP.2015.2446331", "https://www.ncbi.nlm.nih.gov/pubmed/26087489", "https://www.wikidata.org/entity/Q40823197"]}, {"id": "084352b63e98d3b3310521fb3bda8cb4a77a0254", "title": "Part-based multiple-person tracking with partial occlusion handling", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "University of Nevada", "source_name": "University of Nevada", "street_adddress": "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "lat": "39.54694490", "lng": "-119.81346566", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://crcv.ucf.edu/papers/1439.pdf", "http://vision.eecs.ucf.edu/papers/cvpr2012/1439.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247879", "http://doi.org/10.1109/CVPR.2012.6247879"]}, {"id": "32b9be86de4f82c5a43da2a1a0a892515da8910d", "title": "Robust False Positive Detection for Real-Time Multi-target Tracking", "addresses": [{"name": "University of the West of Scotland", "source_name": "University of the West of Scotland", "street_adddress": "Stephenson Place Hamilton International Technology Park Blantyre, Glasgow G72 0LH, United Kingdom", "lat": "55.77824740", "lng": "-4.10409880", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf", "https://pdfs.semanticscholar.org/32b9/be86de4f82c5a43da2a1a0a892515da8910d.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-07998-1_52"]}, {"id": "2914a20df10f3bb55c5d4764ece85101c1a3e5a8", "title": "User interest profiling using tracking-free coarse gaze estimation", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze, Firenze", "source_name": "Università degli Studi di Firenze, Firenze", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf", "https://www.micc.unifi.it/wp-content/uploads/2016/12/ICPR_2016_GAZE.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899904", "http://doi.org/10.1109/ICPR.2016.7899904"]}, {"id": "1f4fed0183048d9014e22a72fd50e1e5fbe0777c", "title": "A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf"], "doi": []}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "d8bc2e2537cecbe6e751d4791837251a249cd06d", "title": "Assessing tracking performance in complex scenarios using mean time between failures", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477617", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477617", "http://doi.org/10.1109/WACV.2016.7477617"]}, {"id": "2dfba157e0b5db5becb99b3c412ac729cf3bb32d", "title": "Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf"], "doi": []}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "b8af24279c58a718091817236f878c805a7843e1", "title": "Context Aware Anomalous Behaviour Detection in Crowded Surveillance", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf"], "doi": []}, {"id": "224547337e1ace6411a69c2e06ce538bc67923f7", "title": "Convolutional Neural Network for Camera Pose Estimation from Object Detections", "addresses": [{"name": "Faculty of Computer Science, Moscow, Russia", "source_name": "Faculty of Computer Science, Moscow, Russia", "street_adddress": "Kochnovskiy Proyezd, 3, Moskva, Russia, 125319", "lat": "55.80671040", "lng": "37.54163810", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf"], "doi": []}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "70be5432677c0fbe000ac0c28dda351a950e0536", "title": "Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention", "addresses": [{"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910023", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.75", "http://doi.org/10.1109/CVPRW.2014.75"]}, {"id": "9458642e7645bfd865911140ee8413e2f5f9fcd6", "title": "Efficient Multiple People Tracking Using Minimum Cost Arborescences", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf"], "doi": []}, {"id": "2a7935706d43c01789d43a81a1d391418f220a0a", "title": "Enhancing Linear Programming with Motion Modeling for Multi-target Tracking", "addresses": [{"name": "Queen's University Belfast", "source_name": "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "street_adddress": "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "lat": "54.61417230", "lng": "-5.90021510", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pure.qub.ac.uk/portal/files/31960902/285.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045871", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.17", "http://doi.org/10.1109/WACV.2015.17"]}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7069590"]}, {"id": "fa5aca45965e312362d2d75a69312a0678fdf5d7", "title": "Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf"], "doi": []}, {"id": "2feb7c57d51df998aafa6f3017662263a91625b4", "title": "Feature Selection for Intelligent Transportation Systems", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf"], "doi": []}, {"id": "1f82eebadc3ffa41820ad1a0f53770247fc96dcd", "title": "Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf"], "doi": []}, {"id": "b18f94c5296a9cebe9e779d50d193fd180f78ed9", "title": "Forecasting Interactive Dynamics of Pedestrians with Fictitious Play", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01431.pdf"], "doi": []}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "5ab9f00a707a55f4955b378981ad425aa1cb8ea3", "title": "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", "addresses": [{"name": "Italian Institute of Technology, Genova, Italy", "source_name": "Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy", "street_adddress": "27100 Pavia, Province of Pavia, Italy", "lat": "45.18472480", "lng": "9.15820690", "type": "edu", "country": "Italy"}, {"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02000.pdf"], "doi": []}, {"id": "3ed9730e5ec8716e8cdf55f207ef973a9c854574", "title": "Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.05234.pdf"], "doi": []}, {"id": "58eba9930b63cc14715368acf40017293b8dc94f", "title": "What Do I See? Modeling Human Visual Perception for Multi-person Tracking", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf"], "doi": []}, {"id": "a0b489eeb4f7fd2249da756d829e179a6718d9d1", "title": "\"Seeing is Believing\": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354238", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00134", "http://doi.org/10.1109/WACV.2018.00134"]}, {"id": "4ec4392246a7760d189cd6ea48a81664cd2fe4bf", "title": "GPU Accelerated ACF Detector", "addresses": [{"name": "KULeuven, EAVISE", "source_name": "KULeuven, EAVISE", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf"], "doi": []}, {"id": "6e32c368a6157fb911c9363dc3e967a7fb2ad9f7", "title": "Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians", "addresses": [{"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf"], "doi": []}, {"id": "6f089f9959cc711e16f1ebe0c6251aaf8a65959a", "title": "Improvement in object detection using Super Pixels", "addresses": [{"name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "source_name": "M.S. Ramaiah Institute of Technology, Bangalore, India", "street_adddress": "MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India", "lat": "13.03046190", "lng": "77.56468620", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf"], "doi": []}, {"id": "4e82908e6482d973c280deb79c254631a60f1631", "title": "Improving Efficiency and Scalability in Visual Surveillance Applications", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf"], "doi": []}, {"id": "38b5a83f7941fea5fd82466f8ce1ce4ed7749f59", "title": "Improving multi-target tracking via social grouping", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247899", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247899", "http://doi.org/10.1109/CVPR.2012.6247899"]}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "c0262e24324a6a4e6af5bd99fc79e2eb802519b3", "title": "Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.03968.pdf"], "doi": []}, {"id": "1883387726897d94b663cc4de4df88e5c31df285", "title": "Measures of Effective Video Tracking", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655935", "http://doi.org/10.1109/TIP.2013.2288578", "https://www.ncbi.nlm.nih.gov/pubmed/24235302", "https://www.wikidata.org/entity/Q48704231"]}, {"id": "8d2bf6ecbfda94f57000b84509bf77f4c47c1c66", "title": "MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.09100.pdf"], "doi": []}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"], "doi": []}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"], "doi": []}, {"id": "290eda31bc13cbd5933acec8b6a25b3e3761c788", "title": "Multiple object tracking with context awareness", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7935.pdf"], "doi": []}, {"id": "dc53c4bb04e787a0d45dd761ba2101cc51c17b82", "title": "Multiple-Person Tracking by Detection", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf"], "doi": []}, {"id": "943b1b92b5bdee0b5770418c645a4a17bded1ccf", "title": "MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses", "addresses": [{"name": "OSRAM GmbH, Germany", "source_name": "OSRAM GmbH, Germany", "street_adddress": "Marcel-Breuer-Stra\u00dfe 6, 80807 M\u00fcnchen, Germany", "lat": "48.18200380", "lng": "11.59782820", "type": "company", "country": "Germany"}, {"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00652.pdf"], "doi": []}, {"id": "47119c99f5aa1e47bbeb86de0f955e7c500e6a93", "title": "On pairwise costs for network flow multi-object tracking", "addresses": [{"name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "source_name": "INRIA / Ecole Normale Sup\u00e9rieure, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.3304.pdf"], "doi": []}, {"id": "1ae3dd081b93c46cda4d72100d8b1d59eb585157", "title": "Online Motion Agreement Tracking", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf"], "doi": []}, {"id": "e1f815c50a6c0c6d790c60a1348393264f829e60", "title": "PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG", "addresses": [{"name": "Universiti Tunku Abdul Rahman", "source_name": "Universiti Tunku Abdul Rahman", "street_adddress": "Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia", "lat": "4.34006730", "lng": "101.14297990", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf"], "doi": []}, {"id": "422d352a7d26fef692a3cd24466bfb5b4526efea", "title": "Pedestrian interaction in tracking : the social force model and global optimization methods", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf"], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "9d89f1bc88fd65e90b31a2129719384796bed17a", "title": "Person re-identification using co-occurrence attributes of physical and adhered human characteristics", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899943", "http://doi.org/10.1109/ICPR.2016.7899943"]}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"], "doi": []}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "addresses": [{"name": "Universit\u00e0 degli Studi di Cagliari, Italy", "source_name": "Universit\u00e0 degli Studi di Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"], "doi": ["https://www.base-search.net/Record/ccb1ca569ce2ea9f085d6b881e6460aba3aa6f76044859d2948b4eb9f7dda817"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf"], "doi": []}, {"id": "057517452369751bd63d83902ea91558d58161da", "title": "Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras", "addresses": [{"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2012", "pdf": ["http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6382753", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2012.31", "http://doi.org/10.1109/SIBGRAPI.2012.31"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "7c132e0a2b7e13c78784287af38ad74378da31e5", "title": "Salient Parts based Multi-people Tracking", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf"], "doi": []}, {"id": "679136c2844eeddca34e98e483aca1ff6ef5e902", "title": "Scene-Specific Pedestrian Detection Based on Parallel Vision", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08745.pdf"], "doi": []}, {"id": "57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1", "title": "Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07544.pdf"], "doi": []}, {"id": "70b42bbd76e6312d39ea06b8a0c24beb4a93e022", "title": "Solving Multiple People Tracking in a Minimum Cost Arborescence", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046817", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2015.7", "http://doi.org/10.1109/WACVW.2015.7"]}, {"id": "acf0db156406ddad1ace2ff2696cb60d0a04cf7c", "title": "Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "addresses": [{"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "source_name": "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "street_adddress": "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "lat": "57.71720040", "lng": "11.92185580", "type": "company", "country": "Sweden"}], "year": "2018", "pdf": ["http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf"], "doi": ["http://doi.org/10.1007/s11263-018-1077-3"]}, {"id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "title": "Tracking Multiple People Online and in Real Time", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "doi": []}, {"id": "64c78c8bf779a27e819fd9d5dba91247ab5a902b", "title": "Tracking with multi-level features.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "Leibniz Universit\u00e4t Hannover", "source_name": "Leibniz Universit\u00e4t Hannover & German National Library of Science & Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07304.pdf"], "doi": []}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"], "doi": []}, {"id": "f0cc615b14c97482faa9c47eb855303c71ff03a7", "title": "Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes", "addresses": [{"name": "NICTA, Canberra", "source_name": "NICTA, Canberra", "street_adddress": "Canberra ACT 2601, Australia", "lat": "-35.28093680", "lng": "149.13000920", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf"], "doi": []}, {"id": "c4cd19cf41a2f5cd543d81b94afe6cc42785920a", "title": "Training a convolutional neural network for multi-class object detection using solely virtual world data", "addresses": [{"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738056", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738056", "http://doi.org/10.1109/AVSS.2016.7738056"]}, {"id": "2d81cf3214281af85eb1d9d270a897d62302e88e", "title": "High density people estimation in video surveillance", "addresses": [{"name": "AvidBeam", "source_name": "AvidBeam", "street_adddress": "5 Wadi Al Nile, Maadi Al Khabiri Ash Sharqeyah, Al Maadi, Cairo Governorate 11728, Egypt", "lat": "29.95606300", "lng": "31.25547100", "type": "company", "country": "Egypt"}, {"name": "Faculty of Media Engineering & Technology German University in Cairo", "source_name": "Faculty of Media Engineering & Technology German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}, {"name": "German University in Cairo", "source_name": "Faculty of Media Engineering and Technology, German University in Cairo, Egypt", "street_adddress": "Cairo Governorate, Egypt", "lat": "29.98663810", "lng": "31.44142180", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275348"]}]} \ No newline at end of file diff --git a/site/datasets/verified/pa_100k.json b/site/datasets/verified/pa_100k.json index 9ece921e..3b1e007f 100644 --- a/site/datasets/verified/pa_100k.json +++ b/site/datasets/verified/pa_100k.json @@ -1 +1 @@ -{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "paper": {"key": "pa_100k", "name": "PA-100K", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "paper": {"key": "pa_100k", "name": "PA-100K", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/penn_fudan.json b/site/datasets/verified/penn_fudan.json index 334c3bc1..82224454 100644 --- a/site/datasets/verified/penn_fudan.json +++ b/site/datasets/verified/penn_fudan.json @@ -1 +1 @@ -{"id": "3394168ff0719b03ff65bcea35336a76b21fe5e4", "paper": {"key": "penn_fudan", "name": "Penn Fudan", "title": "Object Detection Combining Recognition and Segmentation", "year": "2007", "addresses": []}, "citations": [{"id": "92b2386e11164738d9285117ae647b4788da2c31", "title": "Pedestrian detection with multiple classifiers on still images", "addresses": [{"name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, NETA\u015e Telekom\u00fcnikasyon A.\u015e, \u0130stanbul, T\u00fcrkiye", "source_name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, NETA\u015e Telekom\u00fcnikasyon A.\u015e, \u0130stanbul, T\u00fcrkiye", "street_adddress": "Istanbul, Turkey", "lat": "41.00823760", "lng": "28.97835890", "type": "edu", "country": "Turkey"}, {"name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02880220", "lng": "28.89001430", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404288", "http://doi.org/10.1109/SIU.2018.8404288"]}]} \ No newline at end of file +{"id": "3394168ff0719b03ff65bcea35336a76b21fe5e4", "paper": {"key": "penn_fudan", "name": "Penn Fudan", "title": "Object Detection Combining Recognition and Segmentation", "year": "2007", "addresses": [], "vetting": {"yes": 1, "no": 0, "total": 1}}, "citations": [{"id": "92b2386e11164738d9285117ae647b4788da2c31", "title": "Pedestrian detection with multiple classifiers on still images", "addresses": [{"name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, NETA\u015e Telekom\u00fcnikasyon A.\u015e, \u0130stanbul, T\u00fcrkiye", "source_name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, NETA\u015e Telekom\u00fcnikasyon A.\u015e, \u0130stanbul, T\u00fcrkiye", "street_adddress": "Istanbul, Turkey", "lat": "41.00823760", "lng": "28.97835890", "type": "edu", "country": "Turkey"}, {"name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Elektronik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02880220", "lng": "28.89001430", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404288", "http://doi.org/10.1109/SIU.2018.8404288"]}]} \ No newline at end of file diff --git a/site/datasets/verified/peta.json b/site/datasets/verified/peta.json index ae871e02..7bb8eed8 100644 --- a/site/datasets/verified/peta.json +++ b/site/datasets/verified/peta.json @@ -1 +1 @@ -{"id": "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "paper": {"key": "peta", "name": "PETA", "title": "Pedestrian Attribute Recognition At Far Distance", "year": "2014", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "paper": {"key": "peta", "name": "PETA", "title": "Pedestrian Attribute Recognition At Far Distance", "year": "2014", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/pilot_parliament.json b/site/datasets/verified/pilot_parliament.json index f34d21ef..5198019c 100644 --- a/site/datasets/verified/pilot_parliament.json +++ b/site/datasets/verified/pilot_parliament.json @@ -1 +1 @@ -{"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "paper": {"key": "pilot_parliament", "name": "PPB", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "paper": {"key": "pilot_parliament", "name": "PPB", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/pipa.json b/site/datasets/verified/pipa.json index b756b458..4b69d0ca 100644 --- a/site/datasets/verified/pipa.json +++ b/site/datasets/verified/pipa.json @@ -1 +1 @@ -{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "paper": {"key": "pipa", "name": "PIPA", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "year": "2015", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}]}, "citations": [{"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "5f771fed91c8e4b666489ba2384d0705bcf75030", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03287.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "title": "A Multi-level Contextual Model for Person Recognition in Photo Albums", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf", "http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_peoplerecognition.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780514", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.145", "http://doi.org/10.1109/CVPR.2016.145"]}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "title": "A Domain Based Approach to Social Relation Recognition", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06456.pdf"], "doi": []}, {"id": "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "title": "A Hybrid Model for Identity Obfuscation by Face Replacement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04779.pdf"], "doi": []}, {"id": "b68150bfdec373ed8e025f448b7a3485c16e3201", "title": "Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09471.pdf"], "doi": []}, {"id": "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "1451e7b11e66c86104f9391b80d9fb422fb11c01", "title": "Image privacy protection with secure JPEG transmorphing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1451/e7b11e66c86104f9391b80d9fb422fb11c01.pdf"], "doi": []}, {"id": "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "title": "Inference Attacks Against Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "title": "A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab", "addresses": [{"name": "Facebook & Cornell University", "source_name": "Cornell University & Facebook Inc., New York, NY, USA", "street_adddress": "309 Ives Hall, Ithaca, NY 14853, United States", "lat": "42.44726000", "lng": "-76.48098800", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173789"]}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "503906ca940fa3b01e39d05879c9b6a36524aaf5", "title": "Natural and Effective Obfuscation by Head Inpainting", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute of Informatics", "source_name": "Max Planck Institute of Informatics and Saarland University", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}, {"name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "source_name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "street_adddress": "Avenue du Bourget 60, 1140 Bruxelles, Belgium", "lat": "50.87848020", "lng": "4.43486240", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578628"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}]} \ No newline at end of file +{"id": "0a85bdff552615643dd74646ac881862a7c7072d", "paper": {"key": "pipa", "name": "PIPA", "title": "Beyond frontal faces: Improving Person Recognition using multiple cues", "year": "2015", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "vetting": {"yes": 29, "no": 33, "total": 62}}, "citations": [{"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "5f771fed91c8e4b666489ba2384d0705bcf75030", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03287.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00870.pdf"], "doi": []}, {"id": "6fed504da4e192fe4c2d452754d23d3db4a4e5e3", "title": "Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06890.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf", "title": "A Multi-level Contextual Model for Person Recognition in Photo Albums", "addresses": [{"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf", "http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_peoplerecognition.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780514", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.145", "http://doi.org/10.1109/CVPR.2016.145"]}, {"id": "b5968e7bb23f5f03213178c22fd2e47af3afa04c", "title": "Multiple-Human Parsing in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07206.pdf"], "doi": []}, {"id": "23429ef60e7a9c0e2f4d81ed1b4e47cc2616522f", "title": "A Domain Based Approach to Social Relation Recognition", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06456.pdf"], "doi": []}, {"id": "bfc04ce7752fac884cf5a78b30ededfd5a0ad109", "title": "A Hybrid Model for Identity Obfuscation by Face Replacement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04779.pdf"], "doi": []}, {"id": "b68150bfdec373ed8e025f448b7a3485c16e3201", "title": "Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09471.pdf"], "doi": []}, {"id": "6c8dfa770fe4acffaabeae4b6092c2fd5ee2c545", "title": "Exploiting Unintended Feature Leakage in Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "bc27434e376db89fe0e6ef2d2fabc100d2575ec6", "title": "Faceless Person Recognition; Privacy Implications in Social Media", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08438.pdf"], "doi": []}, {"id": "1451e7b11e66c86104f9391b80d9fb422fb11c01", "title": "Image privacy protection with secure JPEG transmorphing", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1451/e7b11e66c86104f9391b80d9fb422fb11c01.pdf"], "doi": []}, {"id": "8bdf6f03bde08c424c214188b35be8b2dec7cdea", "title": "Inference Attacks Against Collaborative Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04049.pdf"], "doi": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"], "doi": []}, {"id": "d0441970a9f19751e6c047b364f580c30bf9754a", "title": "Pose-Aware Person Recognition", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3", "title": "Unifying Identification and Context Learning for Person Recognition", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03084.pdf"], "doi": []}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.pdf"], "doi": []}, {"id": "0aaf785d7f21d2b5ad582b456896495d30b0a4e2", "title": "A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab", "addresses": [{"name": "Facebook & Cornell University", "source_name": "Cornell University & Facebook Inc., New York, NY, USA", "street_adddress": "309 Ives Hall, Ithaca, NY 14853, United States", "lat": "42.44726000", "lng": "-76.48098800", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173789"]}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "95d64ce5b0758bdc213962ce65ac89b31d9fb617", "title": "Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8255649", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2792452", "http://doi.org/10.1109/TPAMI.2018.2792452", "https://www.ncbi.nlm.nih.gov/pubmed/29994497"]}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "503906ca940fa3b01e39d05879c9b6a36524aaf5", "title": "Natural and Effective Obfuscation by Head Inpainting", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute of Informatics", "source_name": "Max Planck Institute of Informatics and Saarland University", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}, {"name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "source_name": "Toyota Motor Europe (TME), Brussels 1140, Belgium", "street_adddress": "Avenue du Bourget 60, 1140 Bruxelles, Belgium", "lat": "50.87848020", "lng": "4.43486240", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578628"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}]} \ No newline at end of file diff --git a/site/datasets/verified/pku_reid.json b/site/datasets/verified/pku_reid.json index a5e49353..823b0579 100644 --- a/site/datasets/verified/pku_reid.json +++ b/site/datasets/verified/pku_reid.json @@ -1 +1 @@ -{"id": "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "paper": {"key": "pku_reid", "name": "PKU-Reid", "title": "Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "paper": {"key": "pku_reid", "name": "PKU-Reid", "title": "Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification", "year": "2015", "addresses": [], "vetting": {"yes": 0, "no": 4, "total": 4}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/prid.json b/site/datasets/verified/prid.json index 6f7940f0..3637330b 100644 --- a/site/datasets/verified/prid.json +++ b/site/datasets/verified/prid.json @@ -1 +1 @@ -{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "paper": {"key": "prid", "name": "PRID", "title": "Person Re-identification by Descriptive and Discriminative Classification", "year": "2011", "addresses": []}, "citations": [{"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Henan University", "source_name": "Henan University, Kaifeng, China", "street_adddress": "Minglun St, Shunhe Huizuqu, Kaifeng Shi, Henan Sheng, China, 475001", "lat": "34.80892100", "lng": "114.36975200", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}]} \ No newline at end of file +{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "paper": {"key": "prid", "name": "PRID", "title": "Person Re-identification by Descriptive and Discriminative Classification", "year": "2011", "addresses": [], "vetting": {"yes": 5, "no": 2, "total": 7}}, "citations": [{"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"], "doi": []}, {"id": "147f31b603931c688687c6d64d330c9be2ab2f2f", "title": "Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/147f/31b603931c688687c6d64d330c9be2ab2f2f.pdf"], "doi": []}, {"id": "5ee96d5c4d467d00909472e3bc0d2c2d82ccb961", "title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02286.pdf"], "doi": []}, {"id": "76616a2709c03ade176db31fa99c7c61970eba28", "title": "Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Henan University", "source_name": "Henan University, Kaifeng, China", "street_adddress": "Minglun St, Shunhe Huizuqu, Kaifeng Shi, Henan Sheng, China, 475001", "lat": "34.80892100", "lng": "114.36975200", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7661/6a2709c03ade176db31fa99c7c61970eba28.pdf"], "doi": []}, {"id": "35c51c40338d5d547c34ae7ec2efa7a32479dafa", "title": "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05688.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/pubfig.json b/site/datasets/verified/pubfig.json index 817bbd7b..d710b787 100644 --- a/site/datasets/verified/pubfig.json +++ b/site/datasets/verified/pubfig.json @@ -1 +1 @@ -{"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "paper": {"key": "pubfig", "name": "PubFig", "title": "Attribute and simile classifiers for face verification", "year": "2009", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "paper": {"key": "pubfig", "name": "PubFig", "title": "Attribute and simile classifiers for face verification", "year": "2009", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/pubfig_83.json b/site/datasets/verified/pubfig_83.json index feef9a6e..d4b57df4 100644 --- a/site/datasets/verified/pubfig_83.json +++ b/site/datasets/verified/pubfig_83.json @@ -1 +1 @@ -{"id": "9c23859ec7313f2e756a3e85575735e0c52249f4", "paper": {"key": "pubfig_83", "name": "pubfig83", "title": "Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook", "year": "2011", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "9c23859ec7313f2e756a3e85575735e0c52249f4", "paper": {"key": "pubfig_83", "name": "pubfig83", "title": "Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook", "year": "2011", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/social_relation.json b/site/datasets/verified/social_relation.json index c1aa6264..3caaeabb 100644 --- a/site/datasets/verified/social_relation.json +++ b/site/datasets/verified/social_relation.json @@ -1 +1 @@ -{"id": "2a171f8d14b6b8735001a11c217af9587d095848", "paper": {"key": "social_relation", "name": "Social Relation", "title": "Learning Social Relation Traits from Face Images", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "2a171f8d14b6b8735001a11c217af9587d095848", "paper": {"key": "social_relation", "name": "Social Relation", "title": "Learning Social Relation Traits from Face Images", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/stickmen_family.json b/site/datasets/verified/stickmen_family.json index 681b4fa7..c55fc7bc 100644 --- a/site/datasets/verified/stickmen_family.json +++ b/site/datasets/verified/stickmen_family.json @@ -1 +1 @@ -{"id": "0dc11a37cadda92886c56a6fb5191ded62099c28", "paper": {"key": "stickmen_family", "name": "We Are Family Stickmen", "title": "We Are Family: Joint Pose Estimation of Multiple Persons", "year": "2010", "addresses": []}, "citations": [{"id": "03389a530f52c2397b7507376e25a109c24a3f45", "title": "Parsing Occluded People", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiYRF_CVPR_2014/GhiasiYRF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Parsing_Occluded_People_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gyrf-cvpr14-poster.pdf", "http://www.ics.uci.edu/~yyang8/research/parsing-occlude/gyrf-cvpr14.pdf", "http://www.ics.uci.edu/~yyang8/research/parsing-occlude/parsing-occlude-cvpr2014.pdf", "http://www.ics.uci.edu/~yyang8/research/parsing-occlude/parsing-occlude-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.308", "http://doi.org/10.1109/CVPR.2014.308"]}, {"id": "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "title": "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06645.pdf"], "doi": []}, {"id": "3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a", "title": "Generative Partition Networks for Multi-Person Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07422.pdf"], "doi": []}, {"id": "4e1ade72128a6e530577dbbe69bd0afa0ef0e140", "title": "Pose Partition Networks for Multi-person Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4e1a/de72128a6e530577dbbe69bd0afa0ef0e140.pdf"], "doi": []}, {"id": "8e74244e220a1c9e89417caa1ad22f649884d311", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01465.pdf"], "doi": []}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}]} \ No newline at end of file +{"id": "0dc11a37cadda92886c56a6fb5191ded62099c28", "paper": {"key": "stickmen_family", "name": "We Are Family Stickmen", "title": "We Are Family: Joint Pose Estimation of Multiple Persons", "year": "2010", "addresses": [], "vetting": {"yes": 6, "no": 41, "total": 47}}, "citations": [{"id": "03389a530f52c2397b7507376e25a109c24a3f45", "title": "Parsing Occluded People", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/GhiasiYRF_CVPR_2014/GhiasiYRF_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ghiasi_Parsing_Occluded_People_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~gghiasi/papers/gyrf-cvpr14-poster.pdf", "http://www.ics.uci.edu/~yyang8/research/parsing-occlude/gyrf-cvpr14.pdf", "http://www.ics.uci.edu/~yyang8/research/parsing-occlude/parsing-occlude-cvpr2014.pdf", "http://www.ics.uci.edu/~yyang8/research/parsing-occlude/parsing-occlude-poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909704", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.308", "http://doi.org/10.1109/CVPR.2014.308"]}, {"id": "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "title": "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06645.pdf"], "doi": []}, {"id": "3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a", "title": "Generative Partition Networks for Multi-Person Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07422.pdf"], "doi": []}, {"id": "4e1ade72128a6e530577dbbe69bd0afa0ef0e140", "title": "Pose Partition Networks for Multi-person Pose Estimation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4e1a/de72128a6e530577dbbe69bd0afa0ef0e140.pdf"], "doi": []}, {"id": "8e74244e220a1c9e89417caa1ad22f649884d311", "title": "ArtTrack: Articulated Multi-Person Tracking in the Wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01465.pdf"], "doi": []}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/tiny_faces.json b/site/datasets/verified/tiny_faces.json index 2acff9ef..395d12d7 100644 --- a/site/datasets/verified/tiny_faces.json +++ b/site/datasets/verified/tiny_faces.json @@ -1 +1 @@ -{"id": "8990cdce3f917dad622e43e033db686b354d057c", "paper": {"key": "tiny_faces", "name": "TinyFace", "title": "Low-Resolution Face Recognition", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "8990cdce3f917dad622e43e033db686b354d057c", "paper": {"key": "tiny_faces", "name": "TinyFace", "title": "Low-Resolution Face Recognition", "year": "2018", "addresses": [], "vetting": {"yes": 1, "no": 0, "total": 1}}, "citations": [{"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/tisi.json b/site/datasets/verified/tisi.json index 9a26ba48..c3ecb785 100644 --- a/site/datasets/verified/tisi.json +++ b/site/datasets/verified/tisi.json @@ -1 +1 @@ -{"id": "b6c293f0420f7e945b5916ae44269fb53e139275", "paper": {"key": "tisi", "name": "Times Square Intersection", "title": "Video Synopsis by Heterogeneous Multi-source Correlation", "year": "2013", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "b6c293f0420f7e945b5916ae44269fb53e139275", "paper": {"key": "tisi", "name": "Times Square Intersection", "title": "Video Synopsis by Heterogeneous Multi-source Correlation", "year": "2013", "addresses": [], "vetting": {"yes": 0, "no": 12, "total": 12}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/uccs.json b/site/datasets/verified/uccs.json index 4c298b6e..8819d705 100644 --- a/site/datasets/verified/uccs.json +++ b/site/datasets/verified/uccs.json @@ -1 +1 @@ -{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "paper": {"key": "uccs", "name": "UCCS", "title": "Large scale unconstrained open set face database", "year": "2013", "addresses": [{"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}]}, "citations": [{"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04153.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "c50e498ede6f5216cffd0645e747ce67fae2096a", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Institute of Information Engineering, CAS, Beijing, China", "source_name": "Institute of Information Engineering, CAS, Beijing, China", "street_adddress": "Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042", "lat": "39.97426000", "lng": "116.21589000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09998.pdf"], "doi": []}]} \ No newline at end of file +{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "paper": {"key": "uccs", "name": "UCCS", "title": "Large scale unconstrained open set face database", "year": "2013", "addresses": [{"name": "Securics Inc., Colorado Springs, CO", "source_name": "Securics, Inc, USA", "street_adddress": "Colorado Springs, CO, USA", "lat": "38.83388160", "lng": "-104.82136340", "type": "company", "country": "United States"}], "vetting": {"yes": 4, "no": 4, "total": 8}}, "citations": [{"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04153.pdf"], "doi": []}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "c50e498ede6f5216cffd0645e747ce67fae2096a", "title": "Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Institute of Information Engineering, CAS, Beijing, China", "source_name": "Institute of Information Engineering, CAS, Beijing, China", "street_adddress": "Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042", "lat": "39.97426000", "lng": "116.21589000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09998.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/ucf_crowd.json b/site/datasets/verified/ucf_crowd.json index a5141434..11bb2fbe 100644 --- a/site/datasets/verified/ucf_crowd.json +++ b/site/datasets/verified/ucf_crowd.json @@ -1 +1 @@ -{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": []}, "citations": [{"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}]} \ No newline at end of file +{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": [], "vetting": {"yes": 62, "no": 55, "total": 117}}, "citations": [{"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "67c563d59e73a4d314e53eaa79dfcc59bdad92f4", "title": "Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67c5/63d59e73a4d314e53eaa79dfcc59bdad92f4.pdf"], "doi": []}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "806d7b97c3535a3c62ce243fe7008149062d14c1", "title": "Learning to Count with CNN Boosting", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/806d/7b97c3535a3c62ce243fe7008149062d14c1.pdf"], "doi": []}, {"id": "5ece646d13786df1d84ff8eb2bfbc736dd337378", "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03095.pdf"], "doi": []}, {"id": "ae47e73c25755427c9f5904425a35d7db737829b", "title": "Multi-scale convolutional neural networks for crowd counting", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02359.pdf"], "doi": []}, {"id": "54171243dfae9d7343c78026c9b94004df3853bb", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10698.pdf"], "doi": []}, {"id": "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07890.pdf"], "doi": []}, {"id": "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "title": "Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d1a/c241fb603a4237cb681dbcf163a9f89e906a.pdf"], "doi": []}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "b8877c1ad550a3c1b78b9f471497413a9bc52809", "title": "A Framework for Video-Driven Crowd Synthesis", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1803.04969.pdf"], "doi": []}, {"id": "891eb18f7cc0702a352d812c78f33eae7ee23f99", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "d882da8d831b7fb6c459f052f9e12c9a3ea9adac", "title": "Almost Unsupervised Learning for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/d882/da8d831b7fb6c459f052f9e12c9a3ea9adac.pdf"], "doi": []}, {"id": "5882e62866fe1fcf7f8458e0bd0bcb39057afce3", "title": "Attention to Head Locations for Crowd Counting", "addresses": [{"name": "Nanjing Tech University", "source_name": "Nanjing Tech University, Nanjing, China", "street_adddress": "China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, \u65b0\u6a21\u8303\u9a6c\u8def5\u53f7 \u90ae\u653f\u7f16\u7801: 210028", "lat": "32.07673400", "lng": "118.77813900", "type": "edu", "country": "China"}, {"name": "Shandong University Jinan", "source_name": "Shandong University Jinan, China, 250100", "street_adddress": "China, Shandong, Jinan, Licheng, Shanda S Rd, 27\u53f7\u5357\u8def27\u53f7 CN \u5c71\u4e1c\u7701 \u6d4e\u5357\u5e02 \u5c71\u5927", "lat": "36.64893000", "lng": "117.02901400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10287.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "8ff7567197aa9cf146e023326802b2e097121acb", "title": "Context-Aware Crowd Counting", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10452.pdf"], "doi": []}, {"id": "aef3ecc926ed79478f9d1f38c0fec2a29bae9c3b", "title": "Counting in High Density Crowd Videos", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aef3/ecc926ed79478f9d1f38c0fec2a29bae9c3b.pdf"], "doi": []}, {"id": "06686d25a6a7fecb201b428260636e2265f71238", "title": "Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_cd.pdf"], "doi": ["https://doi.org/10.1007/s11263-017-1005-y"]}, {"id": "72da189e5a814ac899e7cb4da80370301b0a20e3", "title": "Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.00853.pdf"], "doi": []}, {"id": "bc97abcfb02bbcdae4c893c2182565c49603e430", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "8a62ecdc178bc14f12ce19388e2f4032648ed4db", "title": "Crowd Counting with Decomposed Uncertainty", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "IBM", "source_name": "IBM, Yorktown Heights, NY, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.21055540", "lng": "-73.80342710", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.07427.pdf"], "doi": []}, {"id": "1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9", "title": "Crowd Counting with Density Adaption Networks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10040.pdf"], "doi": []}, {"id": "09c9a70a95d1e663e9f718c095f0ef59a877c152", "title": "DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://xplorestaging.ieee.org/ielx7/6287639/6514899/08497050.pdf?arnumber=8497050"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8497050", "http://doi.org/10.1109/ACCESS.2018.2875495"]}, {"id": "edafefc60c6e7511f172be8b3660e41b2d6f0f07", "title": "DENet: A Universal Network for Counting Crowd with Varying Densities and Scales", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.08056.pdf"], "doi": []}, {"id": "a4927558407dab54353ac166f402e6a26c44e0ca", "title": "Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06285.pdf"], "doi": []}, {"id": "429b9c93bb928815f84fb0055831077ee8149c78", "title": "Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling", "addresses": [{"name": "CUNY City College", "source_name": "CUNY City College", "street_adddress": "CUNY City College, 205 East 42nd Street, New York, NY 10017", "lat": "45.55466080", "lng": "5.40652550", "type": "edu", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.05379.pdf"], "doi": []}, {"id": "e7ecb3ddd1d4d79231fc5fa5140288e0a7a3592b", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "0bc6ea6afe3b59848a2a8f03423cc6284c60327e", "title": "Learning from Synthetic Data for Crowd Counting in the Wild", "addresses": [{"name": "Northwestern Polytechnical University Xian", "source_name": "Northwestern Polytechnical University Xian, P. R. China", "street_adddress": "127 Youyi W Rd, Beilin Qu, Xian Shi, Shaanxi Sheng, China, 710065", "lat": "34.24166080", "lng": "108.93673870", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.03303.pdf"], "doi": []}, {"id": "e3b92cc14f2c33bfdc07b794292a30384f8d0ad1", "title": "Local Segmentation for Pedestrian Tracking in Dense Crowds", "addresses": [{"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2014", "pdf": ["http://clementcreusot.com/publications/papers/creusot2014-MMM.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-04114-8_23"]}, {"id": "389b217408db3c6d013207ede37590513cad28c1", "title": "Mask-aware networks for crowd counting", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.00039.pdf"], "doi": []}, {"id": "572ee775bf7801cd64e7b85a49e9977e960e3257", "title": "Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07368.pdf"], "doi": []}, {"id": "5128f77564f70d861debf2941df54fc575283698", "title": "PaDNet: Pan-Density Crowd Counting", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02805.pdf"], "doi": []}, {"id": "7174e77f8e26aef3105996512b787b336320d46f", "title": "People Counting in High Density Crowds from Still Images", "addresses": [{"name": "Indian Institute of Technology Kanpur", "source_name": "Indian Institute of Technology Kanpur", "street_adddress": "Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India", "lat": "26.51318800", "lng": "80.23651945", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.08445.pdf"], "doi": []}, {"id": "46f5bb35ea99c62320199b1f0924a4e7c0b001d3", "title": "Perspective-Aware CNN For Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "a507ee57e0e2e2834bab1ff7d218d3afb3634f2a", "title": "Top-Down Feedback for Crowd Counting Convolutional Neural Network", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08881.pdf"], "doi": []}, {"id": "2e6c3557cb90f472e6798fcaa8ecc9dff3557f11", "title": "Towards Perspective-Free Object Counting with Deep Learning", "addresses": [{"name": "University of Alcala", "source_name": "Geintra Research Group, University of Alcala", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/abf0/20e0dcadc047f91ecb394cade13c05112d71.pdf"], "doi": []}, {"id": "4543845adcb6135f263cbf6c2813d10464199d52", "title": "Improving Deep Crowd Density Estimation via Pre-classification of Density", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_27"]}]} \ No newline at end of file diff --git a/site/datasets/verified/ucf_selfie.json b/site/datasets/verified/ucf_selfie.json index 9065f2ef..d6940b51 100644 --- a/site/datasets/verified/ucf_selfie.json +++ b/site/datasets/verified/ucf_selfie.json @@ -1 +1 @@ -{"id": "041d3eedf5e45ce5c5229f0181c5c576ed1fafd6", "paper": {"key": "ucf_selfie", "name": "UCF Selfie", "title": "How to Take a Good Selfie?", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "041d3eedf5e45ce5c5229f0181c5c576ed1fafd6", "paper": {"key": "ucf_selfie", "name": "UCF Selfie", "title": "How to Take a Good Selfie?", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/ufdd.json b/site/datasets/verified/ufdd.json index d4938d5a..473f05f3 100644 --- a/site/datasets/verified/ufdd.json +++ b/site/datasets/verified/ufdd.json @@ -1 +1 @@ -{"id": "3531332efe19be21e7401ba1f04570a142617236", "paper": {"key": "ufdd", "name": "UFDD", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "3531332efe19be21e7401ba1f04570a142617236", "paper": {"key": "ufdd", "name": "UFDD", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "year": "2018", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/umd_faces.json b/site/datasets/verified/umd_faces.json index 390985fc..28a9ac01 100644 --- a/site/datasets/verified/umd_faces.json +++ b/site/datasets/verified/umd_faces.json @@ -1 +1 @@ -{"id": "31b05f65405534a696a847dd19c621b7b8588263", "paper": {"key": "umd_faces", "name": "UMD", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "31b05f65405534a696a847dd19c621b7b8588263", "paper": {"key": "umd_faces", "name": "UMD", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/urban_tribes.json b/site/datasets/verified/urban_tribes.json index 83b65d86..77c2b500 100644 --- a/site/datasets/verified/urban_tribes.json +++ b/site/datasets/verified/urban_tribes.json @@ -1 +1 @@ -{"id": "774cbb45968607a027ae4729077734db000a1ec5", "paper": {"key": "urban_tribes", "name": "Urban Tribes", "title": "From Bikers to Surfers: Visual Recognition of Urban Tribes", "year": "2013", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "774cbb45968607a027ae4729077734db000a1ec5", "paper": {"key": "urban_tribes", "name": "Urban Tribes", "title": "From Bikers to Surfers: Visual Recognition of Urban Tribes", "year": "2013", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/used.json b/site/datasets/verified/used.json index 83688224..cd3044d3 100644 --- a/site/datasets/verified/used.json +++ b/site/datasets/verified/used.json @@ -1 +1 @@ -{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"key": "used", "name": "USED Social Event Dataset", "title": "USED: a large-scale social event detection dataset", "year": "2016", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}]}, "citations": [{"id": "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "title": "Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04062.pdf"], "doi": []}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "4bf85ef995c684b841d0a5a002d175fadd922ff0", "title": "Ensemble of Deep Models for Event Recognition", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3199668"]}]} \ No newline at end of file +{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"key": "used", "name": "USED Social Event Dataset", "title": "USED: a large-scale social event detection dataset", "year": "2016", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "vetting": {"yes": 3, "no": 4, "total": 7}}, "citations": [{"id": "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "title": "Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04062.pdf"], "doi": []}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "4bf85ef995c684b841d0a5a002d175fadd922ff0", "title": "Ensemble of Deep Models for Event Recognition", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3199668"]}]} \ No newline at end of file diff --git a/site/datasets/verified/vadana.json b/site/datasets/verified/vadana.json index 638c8f08..c11e78a1 100644 --- a/site/datasets/verified/vadana.json +++ b/site/datasets/verified/vadana.json @@ -1 +1 @@ -{"id": "4563b46d42079242f06567b3f2e2f7a80cb3befe", "paper": {"key": "vadana", "name": "VADANA", "title": "VADANA: A dense dataset for facial image analysis", "year": "2011", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "4563b46d42079242f06567b3f2e2f7a80cb3befe", "paper": {"key": "vadana", "name": "VADANA", "title": "VADANA: A dense dataset for facial image analysis", "year": "2011", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/vgg_celebs_in_places.json b/site/datasets/verified/vgg_celebs_in_places.json index 4b483939..9cff95c1 100644 --- a/site/datasets/verified/vgg_celebs_in_places.json +++ b/site/datasets/verified/vgg_celebs_in_places.json @@ -1 +1 @@ -{"id": "7ebb153704706e457ab57b432793d2b6e5d12592", "paper": {"key": "vgg_celebs_in_places", "name": "CIP", "title": "Faces in Places: compound query retrieval", "year": "2016", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "7ebb153704706e457ab57b432793d2b6e5d12592", "paper": {"key": "vgg_celebs_in_places", "name": "CIP", "title": "Faces in Places: compound query retrieval", "year": "2016", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/vgg_faces.json b/site/datasets/verified/vgg_faces.json index a5f977c6..83b094a1 100644 --- a/site/datasets/verified/vgg_faces.json +++ b/site/datasets/verified/vgg_faces.json @@ -1 +1 @@ -{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "paper": {"key": "vgg_faces", "name": "VGG Face", "title": "Deep Face Recognition", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "paper": {"key": "vgg_faces", "name": "VGG Face", "title": "Deep Face Recognition", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/vgg_faces2.json b/site/datasets/verified/vgg_faces2.json index 3c27efbd..e5ca8b98 100644 --- a/site/datasets/verified/vgg_faces2.json +++ b/site/datasets/verified/vgg_faces2.json @@ -1 +1 @@ -{"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "paper": {"key": "vgg_faces2", "name": "VGG Face2", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "paper": {"key": "vgg_faces2", "name": "VGG Face2", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "year": "2018", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/viper.json b/site/datasets/verified/viper.json index 8b3d2b05..7a5610f7 100644 --- a/site/datasets/verified/viper.json +++ b/site/datasets/verified/viper.json @@ -1 +1 @@ -{"id": "6273b3491e94ea4dd1ce42b791d77bdc96ee73a8", "paper": {"key": "viper", "name": "VIPeR", "title": "Evaluating Appearance Models for Recognition, Reacquisition, and Tracking", "year": "2007", "addresses": [{"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "6273b3491e94ea4dd1ce42b791d77bdc96ee73a8", "paper": {"key": "viper", "name": "VIPeR", "title": "Evaluating Appearance Models for Recognition, Reacquisition, and Tracking", "year": "2007", "addresses": [{"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/vmu.json b/site/datasets/verified/vmu.json index 085ccb54..789ba5d1 100644 --- a/site/datasets/verified/vmu.json +++ b/site/datasets/verified/vmu.json @@ -1 +1 @@ -{"id": "37d6f0eb074d207b53885bd2eb78ccc8a04be597", "paper": {"key": "vmu", "name": "VMU", "title": "Can facial cosmetics affect the matching accuracy of face recognition systems?", "year": "2012", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "37d6f0eb074d207b53885bd2eb78ccc8a04be597", "paper": {"key": "vmu", "name": "VMU", "title": "Can facial cosmetics affect the matching accuracy of face recognition systems?", "year": "2012", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/voc.json b/site/datasets/verified/voc.json index b4cdd3a1..4fe4ccdf 100644 --- a/site/datasets/verified/voc.json +++ b/site/datasets/verified/voc.json @@ -1 +1 @@ -{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"key": "voc", "name": "VOC", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"], "doi": []}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}]} \ No newline at end of file +{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"key": "voc", "name": "VOC", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "vetting": {"yes": 68, "no": 95, "total": 163}}, "citations": [{"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"], "doi": []}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/voxceleb2.json b/site/datasets/verified/voxceleb2.json index 08170326..09296121 100644 --- a/site/datasets/verified/voxceleb2.json +++ b/site/datasets/verified/voxceleb2.json @@ -1 +1 @@ -{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "paper": {"key": "voxceleb2", "name": "VoxCeleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "addresses": []}, "citations": [{"id": "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "title": "You Said That?: Synthesising Talking Faces from Audio", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["http://www.robots.ox.ac.uk/~vgg/publications/2019/Jamaludin19/jamaludin19.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01150-y"]}, {"id": "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "title": "Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653291"]}]} \ No newline at end of file +{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "paper": {"key": "voxceleb2", "name": "VoxCeleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "addresses": [], "vetting": {"yes": 2, "no": 1, "total": 3}}, "citations": [{"id": "0e8cd058ae29c6f60a8750c1df3caa5dc0e99543", "title": "You Said That?: Synthesising Talking Faces from Audio", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["http://www.robots.ox.ac.uk/~vgg/publications/2019/Jamaludin19/jamaludin19.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01150-y"]}, {"id": "56a01913e58f721e38b5ddf6b30a588c8d4dfc66", "title": "Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653291"]}]} \ No newline at end of file diff --git a/site/datasets/verified/who_goes_there.json b/site/datasets/verified/who_goes_there.json index 138f5b7c..31963887 100644 --- a/site/datasets/verified/who_goes_there.json +++ b/site/datasets/verified/who_goes_there.json @@ -1 +1 @@ -{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "paper": {"key": "who_goes_there", "name": "WGT", "title": "Who goes there?: approaches to mapping facial appearance diversity", "year": "2016", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "9b9bf5e623cb8af7407d2d2d857bc3f1b531c182", "paper": {"key": "who_goes_there", "name": "WGT", "title": "Who goes there?: approaches to mapping facial appearance diversity", "year": "2016", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "vetting": {"yes": 0, "no": 11, "total": 11}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/wider.json b/site/datasets/verified/wider.json index 39b07510..9eee658d 100644 --- a/site/datasets/verified/wider.json +++ b/site/datasets/verified/wider.json @@ -1 +1 @@ -{"id": "356b431d4f7a2a0a38cf971c84568207dcdbf189", "paper": {"key": "wider", "name": "WIDER", "title": "Recognize complex events from static images by fusing deep channels", "year": "2015", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "356b431d4f7a2a0a38cf971c84568207dcdbf189", "paper": {"key": "wider", "name": "WIDER", "title": "Recognize complex events from static images by fusing deep channels", "year": "2015", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/wider_attribute.json b/site/datasets/verified/wider_attribute.json index 6ca2252f..1f1f848f 100644 --- a/site/datasets/verified/wider_attribute.json +++ b/site/datasets/verified/wider_attribute.json @@ -1 +1 @@ -{"id": "44d23df380af207f5ac5b41459c722c87283e1eb", "paper": {"key": "wider_attribute", "name": "WIDER Attribute", "title": "Human Attribute Recognition by Deep Hierarchical Contexts", "year": "2016", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "44d23df380af207f5ac5b41459c722c87283e1eb", "paper": {"key": "wider_attribute", "name": "WIDER Attribute", "title": "Human Attribute Recognition by Deep Hierarchical Contexts", "year": "2016", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/wider_face.json b/site/datasets/verified/wider_face.json index 825b5ebf..e1d0e9d4 100644 --- a/site/datasets/verified/wider_face.json +++ b/site/datasets/verified/wider_face.json @@ -1 +1 @@ -{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "paper": {"key": "wider_face", "name": "WIDER FACE", "title": "WIDER FACE: A Face Detection Benchmark", "year": "2016", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}]}, "citations": []} \ No newline at end of file +{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "paper": {"key": "wider_face", "name": "WIDER FACE", "title": "WIDER FACE: A Face Detection Benchmark", "year": "2016", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/wildtrack.json b/site/datasets/verified/wildtrack.json index 1d323e1b..815eda09 100644 --- a/site/datasets/verified/wildtrack.json +++ b/site/datasets/verified/wildtrack.json @@ -1 +1 @@ -{"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "paper": {"key": "wildtrack", "name": "WildTrack", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "paper": {"key": "wildtrack", "name": "WildTrack", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/yale_faces.json b/site/datasets/verified/yale_faces.json index f13918d0..d59fdd91 100644 --- a/site/datasets/verified/yale_faces.json +++ b/site/datasets/verified/yale_faces.json @@ -1 +1 @@ -{"id": "18c72175ddbb7d5956d180b65a96005c100f6014", "paper": {"key": "yale_faces", "name": "YaleFaces", "title": "From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose", "year": "2001", "addresses": []}, "citations": []} \ No newline at end of file +{"id": "18c72175ddbb7d5956d180b65a96005c100f6014", "paper": {"key": "yale_faces", "name": "YaleFaces", "title": "From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose", "year": "2001", "addresses": [], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/yfcc_100m.json b/site/datasets/verified/yfcc_100m.json index a56dce82..f497681e 100644 --- a/site/datasets/verified/yfcc_100m.json +++ b/site/datasets/verified/yfcc_100m.json @@ -1 +1 @@ -{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "paper": {"key": "yfcc_100m", "name": "YFCC100M", "title": "YFCC100M: the new data in multimedia research", "year": "2016", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "paper": {"key": "yfcc_100m", "name": "YFCC100M", "title": "YFCC100M: the new data in multimedia research", "year": "2016", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "vetting": {"yes": 55, "no": 59, "total": 114}}, "citations": [{"id": "d2067c7d31bebf89249966c3d8ee9395dd8531b8", "title": "Visual congruent ads for image search", "addresses": [{"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "source_name": "Centrum Wiskunde & Informatica (CWI), The Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "source_name": "DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}, {"name": "Futurewei Technologies Inc., USA", "source_name": "Futurewei Technologies Inc., USA", "street_adddress": "5340 Legacy Dr, Plano, TX 75024, USA", "lat": "33.07233720", "lng": "-96.81029900", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://skamalas.com/docs/ICPR_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899849", "http://doi.org/10.1109/ICPR.2016.7899849"]}, {"id": "010f0f4929e6a6644fb01f0e43820f91d0fad292", "title": "YFCC100M: the new data in multimedia research", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "In-Q-Tel", "source_name": "In-Q-Tel, Menlo Park, CA USA", "street_adddress": "800 El Camino Real Suite #300, Menlo Park, CA 94025, USA", "lat": "37.45238090", "lng": "-122.17975860", "type": "mil", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2812802"]}, {"id": "36631dcbb9452ea3d35b19b2de6ef709022531a6", "title": "TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking", "addresses": [{"name": "National Institute of Standards and Technology", "source_name": "National Institute of Standards and Technology", "street_adddress": "National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA", "lat": "39.12549380", "lng": "-77.22293475", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}, {"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0109/93ae9742f7f4c40763a25ded237723de60b5.pdf"], "doi": []}, {"id": "788da403d220e2cc08dca9cffbe1f84b3c68469a", "title": "Causally Regularized Learning with Agnostic Data Selection Bias.", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06656.pdf"], "doi": []}, {"id": "61b17f719bab899dd50bcc3be9d55673255fe102", "title": "Detecting Sarcasm in Multimodal Social Platforms", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02289.pdf"], "doi": []}, {"id": "2577211aeaaa1f2245ddc379564813bee3d46c06", "title": "Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.06974.pdf"], "doi": []}, {"id": "b6397f818f67faad6a36de8480212f6e7e82e71c", "title": "Tag Prediction at Flickr: A View from the Darkroom", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126745"]}, {"id": "d3dae5c4f47a0457ebe2297d7e70432521c82cc6", "title": "The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d3da/e5c4f47a0457ebe2297d7e70432521c82cc6.pdf"], "doi": []}, {"id": "8a5be2b370c5a1df06e1063b306b2874706c24dc", "title": "The Konstanz natural video database (KoNViD-1k)", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}, {"name": "Hungarian Academy of Sciences", "source_name": "MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, \nBudapest, Hungary", "street_adddress": "Budapest, Kende u. 13, 1111 Hungary", "lat": "47.47828280", "lng": "19.05210750", "type": "edu", "country": "Hungary"}], "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/814067/1/konstanz-natural-video.pdf", "https://kops.uni-konstanz.de/bitstream/handle/123456789/39103/Hosu_2-e7mh9z8d8u09.pdf?isAllowed=y&sequence=1", "https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaJe17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7965673", "http://doi.org/10.1109/QoMEX.2017.7965673"]}, {"id": "062d67af7677db086ef35186dc936b4511f155d7", "title": "They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~epxing/papers/2016/Chang_Yu_Yang_Xing_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf", "https://opus.lib.uts.edu.au/bitstream/10453/58433/4/cvpr16a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780577", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.208", "http://doi.org/10.1109/CVPR.2016.208"]}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "5f96af88dfef2bff4ed8a49ceca909efb701d1d5", "title": "Addressing the Dark Side of Vision Research: Storage", "addresses": [{"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6d3f/b3ef83a5d5a905250a1ec986e720ae422ed4.pdf"], "doi": []}, {"id": "db989600b1857cea9abd14dba9c10808030c7d33", "title": "Delving Deep into Personal Photo and Video Search", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, New York City, NY, USA", "source_name": "Yahoo Research, New York City, NY, USA", "street_adddress": "New York, NY, USA", "lat": "40.71277530", "lng": "-74.00597280", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}, {"name": "Yahoo Research, Sunnyvale, CA, USA", "source_name": "Yahoo Research, Sunnyvale, CA, USA", "street_adddress": "Sunnyvale, CA, USA", "lat": "37.36883000", "lng": "-122.03634960", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3018736"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "a9be20954e9177d8b2bc39747acdea4f5496f394", "title": "Event-Specific Image Importance", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://acsweb.ucsd.edu/~yuw176/report/cvpr_2016.pdf", "http://cseweb.ucsd.edu/~gary/pubs/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2016_eventcuration.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780889", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.520", "http://doi.org/10.1109/CVPR.2016.520"]}, {"id": "9bbc952adb3e3c6091d45d800e806d3373a52bac", "title": "Learning Visual Classifiers using Human-centric Annotations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9bbc/952adb3e3c6091d45d800e806d3373a52bac.pdf"], "doi": []}, {"id": "c8b4beb3dd4d6594fcad58de0394c731d112780f", "title": "Leveraging Multimodal Semantics and Sentiments Information in Event Understanding and Summarization", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8b4/beb3dd4d6594fcad58de0394c731d112780f.pdf"], "doi": []}, {"id": "f0f876b5bf3d442ef9eb017a6fa873bc5d5830c8", "title": "LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06480.pdf"], "doi": []}, {"id": "3ad6bd5c34b0866019b54f5976d644326069cb3d", "title": "Towards next generation touring: personalized group tours", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://people.eng.unimelb.edu.au/limk2/2016-ICAPS-groupTourRec.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/12803"]}, {"id": "92fb2cb7f9a54360ea4442f902472aded5e88c74", "title": "Blackthorn: Large-Scale Interactive Multimodal Learning", "addresses": [{"name": "IT University of Copenhagen", "source_name": "IT University of Copenhagen, Copenhagen, Denmark", "street_adddress": "Rued Langgaards Vej 7, 2300 K\u00f8benhavn, Denmark", "lat": "55.65963500", "lng": "12.59095800", "type": "edu", "country": "Denmark"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pure.itu.dk/portal/files/82406569/tmm_2017_blackthorn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048559", "http://doi.org/10.1109/TMM.2017.2755986"]}, {"id": "f2cbdd5f24c2d6a4f33734636cc220f0825042f0", "title": "Dual-Glance Model for Deciphering Social Relationships", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00634.pdf"], "doi": []}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "5674ace2c666f6af53a2a58279ade6ebd271e8c7", "title": "Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval", "addresses": [{"name": "Delft University of Technology, Netherlands", "source_name": "Delft Univ. of Technol., Netherlands", "street_adddress": "Mekelweg 5, 2628 CD Delft, Netherlands", "lat": "52.00212560", "lng": "4.37329820", "type": "edu", "country": "Netherlands"}, {"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e11/24345969a536fd5fa78db05b6149ea262a69.pdf"], "doi": []}, {"id": "5ed63317cdef429f77499d9de0e58402ed1f687e", "title": "From Photo Streams to Evolving Situations", "addresses": [{"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Mahidol University", "source_name": "Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand", "street_adddress": "Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand", "lat": "13.79727770", "lng": "100.32632160", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05878.pdf"], "doi": []}, {"id": "a851f32d4a4bffd6f95ac67c2ef1b25b8c4e5480", "title": "Learning Geo-Temporal Image Features.", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}, {"name": "Washington University", "source_name": "Washington University", "street_adddress": "Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA", "lat": "38.64804450", "lng": "-90.30996670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0586.pdf", "http://cs.uky.edu/~ted/assets/pdfs/whenwhere.pdf"], "doi": []}, {"id": "8a2e3453d5f88ce6ce73cc7731800cd512f95e64", "title": "Learning to Find Good Correspondences", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}, {"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05971.pdf"], "doi": []}, {"id": "cbd0f4006df1b2661f2c3a711d95727d61756afe", "title": "Multimodal Classification of Moderated Online Pro-Eating Disorder Content", "addresses": [{"name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "source_name": "Centrum Wiskunde & Informatica, Amsterdam, Netherlands", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}, {"name": "Yahoo Research, San Francisco, CA", "source_name": "Yahoo Research, San Francisco, CA, USA", "street_adddress": "San Francisco, CA, USA", "lat": "37.77492950", "lng": "-122.41941550", "type": "company", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025985"]}, {"id": "26861e41e5b44774a2801e1cd76fd56126bbe257", "title": "Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}, {"name": "National ICT Australia", "source_name": "National ICT Australia and UNSW, Sydney, Australia", "street_adddress": "Sydney NSW 2052, Australia", "lat": "-33.91734700", "lng": "151.23126750", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2686/1e41e5b44774a2801e1cd76fd56126bbe257.pdf"], "doi": []}, {"id": "fc8fb68a7e3b79c37108588671c0e1abf374f501", "title": "Semantic Pooling for Complex Event Analysis in Untrimmed Videos", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://cs.uwaterloo.ca/~y328yu/mypapers/pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7565615", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2608901", "http://doi.org/10.1109/TPAMI.2016.2608901", "https://www.ncbi.nlm.nih.gov/pubmed/28113653"]}, {"id": "33737f966cca541d5dbfb72906da2794c692b65b", "title": "Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video", "addresses": [{"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w28/papers/Mensink_Spotting_Audio-Visual_Inconsistencies_CVPR_2017_paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/bolles17cvprwmf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014972", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.238", "http://doi.org/10.1109/CVPRW.2017.238"]}, {"id": "2ef0adfaf84def97e88ae77f887f4497ddc9ccbb", "title": "Structured Recommendation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09067.pdf"], "doi": []}, {"id": "6e50c32f7244e3556eb879f24b7de8410f3177f6", "title": "Visual Social Relationship Recognition", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Minnesota-Twin Cities", "source_name": "University of Minnesota-Twin Cities, Minneapolis, USA", "street_adddress": "Minneapolis, MN 55455, USA", "lat": "44.97399000", "lng": "-93.22772850", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05917.pdf"], "doi": []}, {"id": "24301df85a669c86ae58962b5645b04a66c63cb1", "title": "A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations", "addresses": [{"name": "The University of Melbourne", "source_name": "The University of Melbourne", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08023.pdf"], "doi": []}, {"id": "f1b35a675017b9eabd70a4bb4ec90a61117e4ad2", "title": "A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification.", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://www.cs.cmu.edu/~yunwang/papers/interspeech17.pdf", "http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1469.PDF"], "doi": ["http://doi.org/10.21437/Interspeech.2017-1469", "http://www.isca-speech.org/archive/Interspeech_2017/abstracts/1469.html"]}, {"id": "86973c8c9adef3b6a36c31c2682f2179e3013ae1", "title": "Active Learning from Noisy Tagged Images", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8697/3c8c9adef3b6a36c31c2682f2179e3013ae1.pdf"], "doi": []}, {"id": "06d10f906ac9023b5566c70a2600384b8c1b24c3", "title": "Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement", "addresses": [{"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00536.pdf"], "doi": []}, {"id": "ea985e35b36f05156f82ac2025ad3fe8037be0cd", "title": "CERTH/CEA LIST at MediaEval Placing Task 2015", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ea98/5e35b36f05156f82ac2025ad3fe8037be0cd.pdf"], "doi": []}, {"id": "666300af8ffb8c903223f32f1fcc5c4674e2430b", "title": "Changing Fashion Cultures", "addresses": [{"name": "Tokyo Denki University", "source_name": "Tokyo Denki University", "street_adddress": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, \u7532\u5dde\u8857\u9053, \u8abf\u5e03\u5e02, \u6771\u4eac\u90fd, \u95a2\u6771\u5730\u65b9, 182-0026, \u65e5\u672c", "lat": "35.65729570", "lng": "139.54255868", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07920.pdf"], "doi": []}, {"id": "b3e50a64709a62628105546e392cf796f95ea0fb", "title": "Clustering via Boundary Erosion", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04312.pdf"], "doi": []}, {"id": "b1398234454ee3c9bc5a20f6d2d00232cb79622c", "title": "Combining Low-Density Separators with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b139/8234454ee3c9bc5a20f6d2d00232cb79622c.pdf"], "doi": []}, {"id": "e8dbdd936c132a1cfb0ecdffce05292ee282263f", "title": "Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/03/NDSS2018_06B-1_Olteanu_Slides.pdf", "http://wp.internetsociety.org/ndss/wp-content/uploads/sites/25/2018/07/ndss2018_06B-1_Olteanu_paper.pdf"], "doi": ["http://doi.org/10.14722/ndss.2018.23002", "https://serval.unil.ch/resource/serval:BIB_0D8D70E207E3.P001/REF"]}, {"id": "20a1350815c4588a2380414bc78a7e215a2e3955", "title": "Cross Pixel Optical Flow Similarity for Self-Supervised Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05636.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "addresses": [{"name": "University College Dublin", "source_name": "University College Dublin, Dublin, Ireland", "street_adddress": "Belfield, Dublin, D4, Ireland", "lat": "53.30824400", "lng": "-6.22416520", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "da30d5e0cf214c1d86f629081493fa55e5a27efc", "title": "Expertise screening in crowdsourcing image quality", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoLiSa18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463427", "http://doi.org/10.1109/QoMEX.2018.8463427"]}, {"id": "90eb833df9614da495712f4c1fbb65f8e7d9b356", "title": "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c12d/09f36feaa03a533d87eb3ceef5bc76989f05.pdf"], "doi": []}, {"id": "c82840923eeded245a8dab2dd102d8b0cf96758a", "title": "KDGAN: Knowledge Distillation with Generative Adversarial Networks", "addresses": [{"name": "University of Melbourne", "source_name": "ISSNIP, The University of Melbourne, Victoria - 3010, Australia", "street_adddress": "Parkville VIC 3010, Australia", "lat": "-37.79636890", "lng": "144.96117380", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c828/40923eeded245a8dab2dd102d8b0cf96758a.pdf"], "doi": []}, {"id": "a1ff747cf512c8156620d9c17cb6ed8d21a76ad6", "title": "KonIQ-10k: Towards an ecologically valid and large-scale IQA database", "addresses": [{"name": "University of Konstanz", "source_name": "University of Konstanz, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 10, 78464 Konstanz, Germany", "lat": "47.68942600", "lng": "9.18687770", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08489.pdf"], "doi": []}, {"id": "35d181da0b939bdf3bdf579969e5fe69e277e03e", "title": "Learning Features by Watching Objects Move", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06370.pdf"], "doi": []}, {"id": "774ae9c6b2a83c6891b5aeeb169cfd462d45f715", "title": "Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/774a/e9c6b2a83c6891b5aeeb169cfd462d45f715.pdf"], "doi": []}, {"id": "2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c", "title": "Learning Points and Routes to Recommend Trajectories", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.07051.pdf"], "doi": []}, {"id": "6eb5f375d67dd690ec3b134de7caecde461e8c72", "title": "Learning to detect concepts from webly-labeled video data", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://ijcai.org/Proceedings/16/Papers/250.pdf", "http://www.cs.cmu.edu/~lujiang/camera_ready_papers/IJCAI_2016.pdf", "https://www.ijcai.org/Proceedings/16/Papers/250.pdf"], "doi": ["http://www.ijcai.org/Abstract/16/250"]}, {"id": "22954dd92a795d7f381465d1b353bcc41901430d", "title": "Learning Visual Storylines with Skipping Recurrent Neural Networks", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04279.pdf"], "doi": []}, {"id": "ceac30061d8f7985987448f4712c49eeb98efad2", "title": "MemexQA: Visual Memex Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01336.pdf"], "doi": []}]} \ No newline at end of file diff --git a/site/datasets/verified/youtube_celebrities.json b/site/datasets/verified/youtube_celebrities.json index 64594596..10fb5597 100644 --- a/site/datasets/verified/youtube_celebrities.json +++ b/site/datasets/verified/youtube_celebrities.json @@ -1 +1 @@ -{"id": "6204776d31359d129a582057c2d788a14f8aadeb", "paper": {"key": "youtube_celebrities", "name": "YouTube Celebrities", "title": "Face tracking and recognition with visual constraints in real-world videos", "year": "2008", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}]}, "citations": []} \ No newline at end of file +{"id": "6204776d31359d129a582057c2d788a14f8aadeb", "paper": {"key": "youtube_celebrities", "name": "YouTube Celebrities", "title": "Face tracking and recognition with visual constraints in real-world videos", "year": "2008", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/youtube_faces.json b/site/datasets/verified/youtube_faces.json index 657ceae2..45efbb20 100644 --- a/site/datasets/verified/youtube_faces.json +++ b/site/datasets/verified/youtube_faces.json @@ -1 +1 @@ -{"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "paper": {"key": "youtube_faces", "name": "YouTubeFaces", "title": "Face recognition in unconstrained videos with matched background similarity", "year": "2011", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}]}, "citations": []} \ No newline at end of file +{"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "paper": {"key": "youtube_faces", "name": "YouTubeFaces", "title": "Face recognition in unconstrained videos with matched background similarity", "year": "2011", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "vetting": {}}, "citations": []} \ No newline at end of file diff --git a/site/datasets/verified/youtube_makeup.json b/site/datasets/verified/youtube_makeup.json index 21fbc19f..fcfb5fd1 100644 --- a/site/datasets/verified/youtube_makeup.json +++ b/site/datasets/verified/youtube_makeup.json @@ -1 +1 @@ -{"id": "37d6f0eb074d207b53885bd2eb78ccc8a04be597", "paper": {"key": "youtube_makeup", "name": "YMU", "title": "Can facial cosmetics affect the matching accuracy of face recognition systems?", "year": "2012", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}]}, "citations": [{"id": "e1179a5746b4bf12e1c8a033192326bf7f670a4d", "title": "Facial makeup detection technique based on texture and shape analysis", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}, {"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://www.eurecom.fr/en/publication/4494/download/mm-publi-4494.pdf", "https://perso.telecom-paristech.fr/apvrille/docs/slidesNK_FG2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163104", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163104", "http://doi.org/10.1109/FG.2015.7163104"]}, {"id": "55bc7abcef8266d76667896bbc652d081d00f797", "title": "Impact of facial cosmetics on automatic gender and age estimation algorithms", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.cse.msu.edu/~rossarun/pubs/ChenCosmeticsGenderAge_VISAPP2014.pdf", "http://www.scitepress.org/Papers/2014/47460/47460.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294927", "http://doi.org/10.5220/0004746001820190"]}, {"id": "559795d3f3b096ceddc03720ba62d79d50eae300", "title": "Framework for Active Clustering With Ensembles", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www3.nd.edu/~kwb/BarrBowyerFlynnTIFS_2014.pdf", "https://www3.nd.edu/~kwb/Barr_Bowyer_Flynn_TIFS_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905835", "http://doi.org/10.1109/TIFS.2014.2359369"]}, {"id": "21bd9374c211749104232db33f0f71eab4df35d5", "title": "Integrating facial makeup detection into multimodal biometric user verification system", "addresses": [{"name": "Eurecom Digital Security Department", "source_name": "Eurecom Digital Security Department", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5184/download/sec-publi-5184.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7935101", "http://doi.org/10.1109/IWBF.2017.7935101"]}]} \ No newline at end of file +{"id": "37d6f0eb074d207b53885bd2eb78ccc8a04be597", "paper": {"key": "youtube_makeup", "name": "YMU", "title": "Can facial cosmetics affect the matching accuracy of face recognition systems?", "year": "2012", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "vetting": {"yes": 4, "no": 19, "total": 23}}, "citations": [{"id": "e1179a5746b4bf12e1c8a033192326bf7f670a4d", "title": "Facial makeup detection technique based on texture and shape analysis", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}, {"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://www.eurecom.fr/en/publication/4494/download/mm-publi-4494.pdf", "https://perso.telecom-paristech.fr/apvrille/docs/slidesNK_FG2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163104", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163104", "http://doi.org/10.1109/FG.2015.7163104"]}, {"id": "55bc7abcef8266d76667896bbc652d081d00f797", "title": "Impact of facial cosmetics on automatic gender and age estimation algorithms", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.cse.msu.edu/~rossarun/pubs/ChenCosmeticsGenderAge_VISAPP2014.pdf", "http://www.scitepress.org/Papers/2014/47460/47460.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294927", "http://doi.org/10.5220/0004746001820190"]}, {"id": "559795d3f3b096ceddc03720ba62d79d50eae300", "title": "Framework for Active Clustering With Ensembles", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www3.nd.edu/~kwb/BarrBowyerFlynnTIFS_2014.pdf", "https://www3.nd.edu/~kwb/Barr_Bowyer_Flynn_TIFS_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905835", "http://doi.org/10.1109/TIFS.2014.2359369"]}, {"id": "21bd9374c211749104232db33f0f71eab4df35d5", "title": "Integrating facial makeup detection into multimodal biometric user verification system", "addresses": [{"name": "Eurecom Digital Security Department", "source_name": "Eurecom Digital Security Department", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5184/download/sec-publi-5184.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7935101", "http://doi.org/10.1109/IWBF.2017.7935101"]}]} \ No newline at end of file diff --git a/site/datasets/verified/youtube_poses.json b/site/datasets/verified/youtube_poses.json index 58df3142..35d697f6 100644 --- a/site/datasets/verified/youtube_poses.json +++ b/site/datasets/verified/youtube_poses.json @@ -1 +1 @@ -{"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "paper": {"key": "youtube_poses", "name": "YouTube Pose", "title": "Personalizing Human Video Pose Estimation", "year": "2016", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}]}, "citations": []} \ No newline at end of file +{"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "paper": {"key": "youtube_poses", "name": "YouTube Pose", "title": "Personalizing Human Video Pose Estimation", "year": "2016", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "vetting": {}}, "citations": []} \ No newline at end of file -- cgit v1.2.3-70-g09d2